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Sample records for analysis identifies driver

  1. Integrated in vivo multiomics analysis identifies p21-activated kinase signaling as a driver of colitis.

    Science.gov (United States)

    Lyons, Jesse; Brubaker, Douglas K; Ghazi, Phaedra C; Baldwin, Katherine R; Edwards, Amanda; Boukhali, Myriam; Strasser, Samantha Dale; Suarez-Lopez, Lucia; Lin, Yi-Jang; Yajnik, Vijay; Kissil, Joseph L; Haas, Wilhelm; Lauffenburger, Douglas A; Haigis, Kevin M

    2018-02-27

    Inflammatory bowel disease (IBD) is a chronic disorder of the gastrointestinal tract that has limited treatment options. To gain insight into the pathogenesis of chronic colonic inflammation (colitis), we performed a multiomics analysis that integrated RNA microarray, total protein mass spectrometry (MS), and phosphoprotein MS measurements from a mouse model of the disease. Because we collected all three types of data from individual samples, we tracked information flow from RNA to protein to phosphoprotein and identified signaling molecules that were coordinately or discordantly regulated and pathways that had complex regulation in vivo. For example, the genes encoding acute-phase proteins were expressed in the liver, but the proteins were detected by MS in the colon during inflammation. We also ascertained the types of data that best described particular facets of chronic inflammation. Using gene set enrichment analysis and trans-omics coexpression network analysis, we found that each data set provided a distinct viewpoint on the molecular pathogenesis of colitis. Combining human transcriptomic data with the mouse multiomics data implicated increased p21-activated kinase (Pak) signaling as a driver of colitis. Chemical inhibition of Pak1 and Pak2 with FRAX597 suppressed active colitis in mice. These studies provide translational insights into the mechanisms contributing to colitis and identify Pak as a potential therapeutic target in IBD. Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

  2. Genomic analysis identifies new drivers and progression pathways in skin basal cell carcinoma.

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    Bonilla, Ximena; Parmentier, Laurent; King, Bryan; Bezrukov, Fedor; Kaya, Gürkan; Zoete, Vincent; Seplyarskiy, Vladimir B; Sharpe, Hayley J; McKee, Thomas; Letourneau, Audrey; Ribaux, Pascale G; Popadin, Konstantin; Basset-Seguin, Nicole; Ben Chaabene, Rouaa; Santoni, Federico A; Andrianova, Maria A; Guipponi, Michel; Garieri, Marco; Verdan, Carole; Grosdemange, Kerstin; Sumara, Olga; Eilers, Martin; Aifantis, Iannis; Michielin, Olivier; de Sauvage, Frederic J; Antonarakis, Stylianos E; Nikolaev, Sergey I

    2016-04-01

    Basal cell carcinoma (BCC) of the skin is the most common malignant neoplasm in humans. BCC is primarily driven by the Sonic Hedgehog (Hh) pathway. However, its phenotypic variation remains unexplained. Our genetic profiling of 293 BCCs found the highest mutation rate in cancer (65 mutations/Mb). Eighty-five percent of the BCCs harbored mutations in Hh pathway genes (PTCH1, 73% or SMO, 20% (P = 6.6 × 10(-8)) and SUFU, 8%) and in TP53 (61%). However, 85% of the BCCs also harbored additional driver mutations in other cancer-related genes. We observed recurrent mutations in MYCN (30%), PPP6C (15%), STK19 (10%), LATS1 (8%), ERBB2 (4%), PIK3CA (2%), and NRAS, KRAS or HRAS (2%), and loss-of-function and deleterious missense mutations were present in PTPN14 (23%), RB1 (8%) and FBXW7 (5%). Consistent with the mutational profiles, N-Myc and Hippo-YAP pathway target genes were upregulated. Functional analysis of the mutations in MYCN, PTPN14 and LATS1 suggested their potential relevance in BCC tumorigenesis.

  3. Gene dosage, expression, and ontology analysis identifies driver genes in the carcinogenesis and chemoradioresistance of cervical cancer.

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    Malin Lando

    2009-11-01

    Full Text Available Integrative analysis of gene dosage, expression, and ontology (GO data was performed to discover driver genes in the carcinogenesis and chemoradioresistance of cervical cancers. Gene dosage and expression profiles of 102 locally advanced cervical cancers were generated by microarray techniques. Fifty-two of these patients were also analyzed with the Illumina expression method to confirm the gene expression results. An independent cohort of 41 patients was used for validation of gene expressions associated with clinical outcome. Statistical analysis identified 29 recurrent gains and losses and 3 losses (on 3p, 13q, 21q associated with poor outcome after chemoradiotherapy. The intratumor heterogeneity, assessed from the gene dosage profiles, was low for these alterations, showing that they had emerged prior to many other alterations and probably were early events in carcinogenesis. Integration of the alterations with gene expression and GO data identified genes that were regulated by the alterations and revealed five biological processes that were significantly overrepresented among the affected genes: apoptosis, metabolism, macromolecule localization, translation, and transcription. Four genes on 3p (RYBP, GBE1 and 13q (FAM48A, MED4 correlated with outcome at both the gene dosage and expression level and were satisfactorily validated in the independent cohort. These integrated analyses yielded 57 candidate drivers of 24 genetic events, including novel loci responsible for chemoradioresistance. Further mapping of the connections among genetic events, drivers, and biological processes suggested that each individual event stimulates specific processes in carcinogenesis through the coordinated control of multiple genes. The present results may provide novel therapeutic opportunities of both early and advanced stage cervical cancers.

  4. Evolutionary analysis of vision genes identifies potential drivers of visual differences between giraffe and okapi

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    Edson Ishengoma

    2017-04-01

    Full Text Available Background The capacity of visually oriented species to perceive and respond to visual signal is integral to their evolutionary success. Giraffes are closely related to okapi, but the two species have broad range of phenotypic differences including their visual capacities. Vision studies rank giraffe’s visual acuity higher than all other artiodactyls despite sharing similar vision ecological determinants with many of them. The extent to which the giraffe’s unique visual capacity and its difference with okapi is reflected by changes in their vision genes is not understood. Methods The recent availability of giraffe and okapi genomes provided opportunity to identify giraffe and okapi vision genes. Multiple strategies were employed to identify thirty-six candidate mammalian vision genes in giraffe and okapi genomes. Quantification of selection pressure was performed by a combination of branch-site tests of positive selection and clade models of selection divergence through comparing giraffe and okapi vision genes and orthologous sequences from other mammals. Results Signatures of selection were identified in key genes that could potentially underlie giraffe and okapi visual adaptations. Importantly, some genes that contribute to optical transparency of the eye and those that are critical in light signaling pathway were found to show signatures of adaptive evolution or selection divergence. Comparison between giraffe and other ruminants identifies significant selection divergence in CRYAA and OPN1LW. Significant selection divergence was identified in SAG while positive selection was detected in LUM when okapi is compared with ruminants and other mammals. Sequence analysis of OPN1LW showed that at least one of the sites known to affect spectral sensitivity of the red pigment is uniquely divergent between giraffe and other ruminants. Discussion By taking a systemic approach to gene function in vision, the results provide the first molecular clues

  5. Evolutionary analysis of vision genes identifies potential drivers of visual differences between giraffe and okapi.

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    Ishengoma, Edson; Agaba, Morris; Cavener, Douglas R

    2017-01-01

    The capacity of visually oriented species to perceive and respond to visual signal is integral to their evolutionary success. Giraffes are closely related to okapi, but the two species have broad range of phenotypic differences including their visual capacities. Vision studies rank giraffe's visual acuity higher than all other artiodactyls despite sharing similar vision ecological determinants with many of them. The extent to which the giraffe's unique visual capacity and its difference with okapi is reflected by changes in their vision genes is not understood. The recent availability of giraffe and okapi genomes provided opportunity to identify giraffe and okapi vision genes. Multiple strategies were employed to identify thirty-six candidate mammalian vision genes in giraffe and okapi genomes. Quantification of selection pressure was performed by a combination of branch-site tests of positive selection and clade models of selection divergence through comparing giraffe and okapi vision genes and orthologous sequences from other mammals. Signatures of selection were identified in key genes that could potentially underlie giraffe and okapi visual adaptations. Importantly, some genes that contribute to optical transparency of the eye and those that are critical in light signaling pathway were found to show signatures of adaptive evolution or selection divergence. Comparison between giraffe and other ruminants identifies significant selection divergence in CRYAA and OPN1LW . Significant selection divergence was identified in SAG while positive selection was detected in LUM when okapi is compared with ruminants and other mammals. Sequence analysis of OPN1LW showed that at least one of the sites known to affect spectral sensitivity of the red pigment is uniquely divergent between giraffe and other ruminants. By taking a systemic approach to gene function in vision, the results provide the first molecular clues associated with giraffe and okapi vision adaptations. At

  6. Identifying driver mutations in sequenced cancer genomes

    DEFF Research Database (Denmark)

    Raphael, Benjamin J; Dobson, Jason R; Oesper, Layla

    2014-01-01

    High-throughput DNA sequencing is revolutionizing the study of cancer and enabling the measurement of the somatic mutations that drive cancer development. However, the resulting sequencing datasets are large and complex, obscuring the clinically important mutations in a background of errors, noise......, and random mutations. Here, we review computational approaches to identify somatic mutations in cancer genome sequences and to distinguish the driver mutations that are responsible for cancer from random, passenger mutations. First, we describe approaches to detect somatic mutations from high-throughput DNA...... sequencing data, particularly for tumor samples that comprise heterogeneous populations of cells. Next, we review computational approaches that aim to predict driver mutations according to their frequency of occurrence in a cohort of samples, or according to their predicted functional impact on protein...

  7. Targeted Deletion and Lipidomic Analysis Identify Epithelial Cell COX-2 as a Major Driver of Chemically-induced Skin Cancer

    Science.gov (United States)

    Jiao, Jing; Ishikawa, Tomo-o; Dumlao, Darren S.; Norris, Paul C.; Magyar, Clara E.; Mikulec, Carol; Catapang, Art; Dennis, Edward A.; Fischer, Susan M.; Herschman, Harvey R.

    2014-01-01

    Pharmacologic and global gene deletion studies demonstrate that cyclooxygenase-2 (PTGS2/COX2) plays a critical role in DMBA/TPA-induced skin tumor induction. While many cell types in the tumor microenvironment express COX-2, the cell types in which COX-2 expression is required for tumor promotion are not clearly established. Here, cell-type specific Cox-2 gene deletion reveals a vital role for skin epithelial cell COX-2 expression in DMBA/TPA tumor induction. In contrast, myeloid Cox-2 gene deletion has no effect on DMBA/TPA tumorigenesis. The infrequent, small tumors that develop on mice with an epithelial cell-specific Cox-2 gene deletion have decreased proliferation and increased cell differentiation properties. Blood vessel density is reduced in tumors with an epithelial cell-specific Cox-2 gene deletion, compared to littermate control tumors, suggesting a reciprocal relationship in tumor progression between COX-2 expressing tumor epithelial cells and microenvironment endothelial cells. Lipidomics analysis of skin and tumors from DMBA/TPA-treated mice suggests that the prostaglandins PGE2 and PGF2α are likely candidates for the epithelial cell COX-2-dependent eicosanoids that mediate tumor progression. This study both illustrates the value of cell-type specific gene deletions in understanding the cellular roles of signal-generating pathways in complex microenvironments and emphasizes the benefit of a systems-based lipidomic analysis approach to identify candidate lipid mediators of biological responses. PMID:25063587

  8. Genomic Analysis of Kidney Allograft Injury Identifies Hematopoietic Cell Kinase as a Key Driver of Renal Fibrosis.

    Science.gov (United States)

    Wei, Chengguo; Li, Li; Menon, Madhav C; Zhang, Weijia; Fu, Jia; Kidd, Brian; Keung, Karen L; Woytovich, Christopher; Greene, Ilana; Xiao, Wenzhen; Salem, Fadi; Yi, Zhengzi; He, John Cijiang; Dudley, Joel T; Murphy, Barbara

    2017-05-01

    Renal fibrosis is the common pathway of progression for patients with CKD and chronic renal allograft injury (CAI), but the underlying mechanisms remain obscure. We performed a meta-analysis in human kidney biopsy specimens with CAI, incorporating data available publicly and from our Genomics of Chronic Renal Allograft Rejection study. We identified an Src family tyrosine kinase, hematopoietic cell kinase ( Hck ), as upregulated in allografts in CAI. Querying the Kinase Inhibitor Resource database revealed that dasatinib, a Food and Drug Administration-approved drug, potently binds Hck with high selectivity. In vitro , Hck overexpression activated the TGF-β/Smad3 pathway, whereas HCK knockdown inhibited it. Treatment of tubular cells with dasatinib reduced the expression of Col1a1 Dasatinib also reduced proliferation and α-SMA expression in fibroblasts. In a murine model with unilateral ureteric obstruction, pretreatment with dasatinib significantly reduced the upregulation of profibrotic markers, phosphorylation of Smad3, and renal fibrosis observed in kidneys pretreated with vehicle alone. Dasatinib treatment also improved renal function, reduced albuminuria, and inhibited expression of profibrotic markers in animal models with lupus nephritis and folic acid nephropathy. These data suggest that Hck is a key mediator of renal fibrosis and dasatinib could be developed as an antifibrotic drug. Copyright © 2017 by the American Society of Nephrology.

  9. The valuation of nursing begins with identifying value drivers.

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    Rutherford, Marcella M

    2010-03-01

    Adequate investment in a profession links to its ability to define and document its value. This requires identifying those elements or value drivers that demonstrate its worth. To completely identify nursing's value drivers requires meshing the economic, technical, and caring aspects of its profession. Nursing's valuation includes assessing nursing's tangible and intangible assets and documenting these assets. This information communicates nursing's worth and ensures adequate economic investment in its services.

  10. Identifying Cancer Driver Genes Using Replication-Incompetent Retroviral Vectors

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    Victor M. Bii

    2016-10-01

    Full Text Available Identifying novel genes that drive tumor metastasis and drug resistance has significant potential to improve patient outcomes. High-throughput sequencing approaches have identified cancer genes, but distinguishing driver genes from passengers remains challenging. Insertional mutagenesis screens using replication-incompetent retroviral vectors have emerged as a powerful tool to identify cancer genes. Unlike replicating retroviruses and transposons, replication-incompetent retroviral vectors lack additional mutagenesis events that can complicate the identification of driver mutations from passenger mutations. They can also be used for almost any human cancer due to the broad tropism of the vectors. Replication-incompetent retroviral vectors have the ability to dysregulate nearby cancer genes via several mechanisms including enhancer-mediated activation of gene promoters. The integrated provirus acts as a unique molecular tag for nearby candidate driver genes which can be rapidly identified using well established methods that utilize next generation sequencing and bioinformatics programs. Recently, retroviral vector screens have been used to efficiently identify candidate driver genes in prostate, breast, liver and pancreatic cancers. Validated driver genes can be potential therapeutic targets and biomarkers. In this review, we describe the emergence of retroviral insertional mutagenesis screens using replication-incompetent retroviral vectors as a novel tool to identify cancer driver genes in different cancer types.

  11. The Integrative Method Based on the Module-Network for Identifying Driver Genes in Cancer Subtypes

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    Xinguo Lu

    2018-01-01

    Full Text Available With advances in next-generation sequencing(NGS technologies, a large number of multiple types of high-throughput genomics data are available. A great challenge in exploring cancer progression is to identify the driver genes from the variant genes by analyzing and integrating multi-types genomics data. Breast cancer is known as a heterogeneous disease. The identification of subtype-specific driver genes is critical to guide the diagnosis, assessment of prognosis and treatment of breast cancer. We developed an integrated frame based on gene expression profiles and copy number variation (CNV data to identify breast cancer subtype-specific driver genes. In this frame, we employed statistical machine-learning method to select gene subsets and utilized an module-network analysis method to identify potential candidate driver genes. The final subtype-specific driver genes were acquired by paired-wise comparison in subtypes. To validate specificity of the driver genes, the gene expression data of these genes were applied to classify the patient samples with 10-fold cross validation and the enrichment analysis were also conducted on the identified driver genes. The experimental results show that the proposed integrative method can identify the potential driver genes and the classifier with these genes acquired better performance than with genes identified by other methods.

  12. Identifying candidate driver genes by integrative ovarian cancer genomics data

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    Lu, Xinguo; Lu, Jibo

    2017-08-01

    Integrative analysis of molecular mechanics underlying cancer can distinguish interactions that cannot be revealed based on one kind of data for the appropriate diagnosis and treatment of cancer patients. Tumor samples exhibit heterogeneity in omics data, such as somatic mutations, Copy Number Variations CNVs), gene expression profiles and so on. In this paper we combined gene co-expression modules and mutation modulators separately in tumor patients to obtain the candidate driver genes for resistant and sensitive tumor from the heterogeneous data. The final list of modulators identified are well known in biological processes associated with ovarian cancer, such as CCL17, CACTIN, CCL16, CCL22, APOB, KDF1, CCL11, HNF1B, LRG1, MED1 and so on, which can help to facilitate the discovery of biomarkers, molecular diagnostics, and drug discovery.

  13. DriverFinder: A Gene Length-Based Network Method to Identify Cancer Driver Genes

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    Pi-Jing Wei

    2017-01-01

    Full Text Available Integration of multi-omics data of cancer can help people to explore cancers comprehensively. However, with a large volume of different omics and functional data being generated, there is a major challenge to distinguish functional driver genes from a sea of inconsequential passenger genes that accrue stochastically but do not contribute to cancer development. In this paper, we present a gene length-based network method, named DriverFinder, to identify driver genes by integrating somatic mutations, copy number variations, gene-gene interaction network, tumor expression, and normal expression data. To illustrate the performance of DriverFinder, it is applied to four cancer types from The Cancer Genome Atlas including breast cancer, head and neck squamous cell carcinoma, thyroid carcinoma, and kidney renal clear cell carcinoma. Compared with some conventional methods, the results demonstrate that the proposed method is effective. Moreover, it can decrease the influence of gene length in identifying driver genes and identify some rare mutated driver genes.

  14. Analysis of driver performance under reduced visibility

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    Kaeppler, W. D.

    1982-01-01

    Mathematical models describing vehicle dynamics as well as human behavior may be useful in evaluating driver performance and in establishing design criteria for vehicles more compatible with man. In 1977, a two level model of driver steering behavior was developed, but its parameters were identified for clear visibility conditions only. Since driver performance degrades under conditions of reduced visibility, e.g., fog, the two level model should be investigated to determine its applicability to such conditions. The data analysis of a recently performed driving simulation experiment showed that the model still performed reasonably well under fog conditions, although there was a degradation in its predictive capacity during fog. Some additional parameters affecting anticipation and lag time may improve the model's performance for reduced visibility conditions.

  15. A framework for identifying carbon hotspots and forest management drivers

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    Nilesh Timilsina; Francisco J. Escobedo; Wendell P. Cropper; Amr Abd-Elrahman; Thomas Brandeis; Sonia Delphin; Samuel Lambert

    2013-01-01

    Spatial analyses of ecosystem system services that are directly relevant to both forest management decision making and conservation in the subtropics are rare. Also, frameworks that identify and map carbon stocks and corresponding forest management drivers using available regional, national, and international-level forest inventory datasets could provide insights into...

  16. Identifying neural drivers of benign childhood epilepsy with centrotemporal spikes

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    Azeez Adebimpe

    2018-01-01

    Full Text Available Epilepsy is a neurological disorder characterized by abnormal electrical discharges in a group of brain cells. Benign childhood epilepsy, which affect children under the age of 12 years, has been reported to contribute to the cognitive impairment of these children, even in the absence of structural abnormalities. Functional connectivity models have been applied to provide a deeper understanding of the processes that control and regulate interictal activity of benign childhood epilepsy. These studies have shown regions of increased connectivity and activity, particularly at the epileptic zone, which is usually the central region around the sensorimotor cortex, and in the immediate regions surrounding the zone and reduced activity in distant regions, such as the frontal lobe and temporal regions. The present study was designed to identify the neural drivers involved in the initiation and propagation of epileptic activity and the causal relationships between brain regions with increased and decreased connectivity and functional activity. We used three different models to identify neural drivers and casual connectivity with dynamic causal modelling (DCM of EEG data. All models showed that the central region, the source of the epileptic activity, is the major driver of the brain network during interictal discharges. Other regions include the temporoparietal junction and temporal pole. The central region also had influence on the frontal and contralateral hemisphere, which might explain the cognitive deficits observed in these patients.

  17. Identifying mismatches between institutional perceptions of water-related risk drivers and water management strategies in three river basin areas

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    Räsänen, Aleksi; Juhola, Sirkku; Monge Monge, Adrián; Käkönen, Mira; Kanninen, Markku; Nygren, Anja

    2017-07-01

    Water-related risks and vulnerabilities are driven by variety of stressors, including climate and land use change, as well as changes in socio-economic positions and political landscapes. Hence, water governance, which addresses risks and vulnerabilities, should target multiple stressors. We analyze the institutional perceptions of the drivers and strategies for managing water-related risks and vulnerabilities in three regionally important river basin areas located in Finland, Mexico, and Laos. Our analysis is based on data gathered through participatory workshops and complemented by qualitative content analysis of relevant policy documents. The identified drivers and proposed risk reduction strategies showed the multidimensionality and context-specificity of water-related risks and vulnerabilities across study areas. Most of the identified drivers were seen to increase risks, but some of the drivers were positive trends, and drivers also included also policy instruments that can both increase or decrease risks. Nevertheless, all perceived drivers were not addressed with suggested risk reduction strategies. In particular, most of the risk reduction strategies were incremental adjustments, although many of the drivers classified as most important were large-scale trends, such as climate change, land use changes and increase in foreign investments. We argue that there is a scale mismatch between the identified drivers and suggested strategies, which questions the opportunity to manage the drivers by single-scale incremental adjustments. Our study suggests that for more sustainable risk and vulnerability reduction, the root causes of water-related risks and vulnerabilities should be addressed through adaptive multi-scale governance that carefully considers the context-specificity and the multidimensionality of the associated drivers and stressors.

  18. Identifying Effective Drivers for Knowledge Exchange in the United Kingdom

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    Upton, Stevie

    2012-01-01

    This paper examines the drivers for knowledge exchange in British research-intensive universities, at a time when research impact is coming to be seen as an increasingly important outcome of research in all disciplines. It provides evidence of an over-emphasis of the economic benefits of knowledge exchange in the policy sphere and of a quite…

  19. Data fusion for driver behaviour analysis.

    Science.gov (United States)

    Carmona, Juan; García, Fernando; Martín, David; Escalera, Arturo de la; Armingol, José María

    2015-10-14

    A driver behaviour analysis tool is presented. The proposal offers a novel contribution based on low-cost hardware and advanced software capabilities based on data fusion. The device takes advantage of the information provided by the in-vehicle sensors using Controller Area Network Bus (CAN-BUS), an Inertial Measurement Unit (IMU) and a GPS. By fusing this information, the system can infer the behaviour of the driver, providing aggressive behaviour detection. By means of accurate GPS-based localization, the system is able to add context information, such as digital map information, speed limits, etc. Several parameters and signals are taken into account, both in the temporal and frequency domains, to provide real time behaviour detection. The system was tested in urban, interurban and highways scenarios.

  20. [Occupational stress situation analysis of different types of train drivers].

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    Zhou, Wenhui; Gu, Guizhen; Wu, Hui; Yu, Shanfa

    2014-11-01

    To analyze the status of occupational stress in different types of train drivers. By using cluster sampling method, a cross-sectional study was conducted in 1 339 train drivers (including 289 passenger train drivers, 637 freight trains drivers, 339 passenger shunting train drivers, and 74 high speed rail drivers) from a Railway Bureau depot. The survey included individual factors, occupational stress factors, stress response factors and stress mitigating factors. The occupational stress factors, stress response factors and mitigating factors were measured by the revised effort-reward imbalance (ERI) model questionnaires and occupational stress measurement scale. By using the method of covariance analysized the difference of occupational stress factors of all types train drivers, the method of Stepwise regression was used to analyze the effection (R(2)) of occupational stress factors and stress mitigating factors on stress response factors. Covariance analysis as covariates in age, education level, length of service and marital status showed that the scores of ERI (1.58 ± 0.05), extrinsic effort (19.88 ± 0.44), rewards (23.43 ± 0.43), intrinsic effort (17.86 ± 0.36), physical environment (5.70 ± 0.22), social support (30.51 ± 0.88) and daily tension (10.27 ± 0.38 ) of high speed rail drivers were higher than other drivers (F values were 6.06, 11.32, 7.05, 13.25, 5.20, 9.48 and 6.14 respectively, P train drivers were higher than other drivers (F values were 4.33 and 5.50 respectively, P train drivers was high speed rail drivers (R(2) = 0.64), passenger train drivers (R(2) = 0.44), passenger shunting train drivers (R(2) = 0.39), freight trains drivers (R(2) = 0.38); job satisfaction of train drivers was high speed rail drivers (R(2) = 0.68), passenger train drivers (R(2) = 0.62), freight trains drivers (R(2) = 0.43), passenger shunting train drivers(R(2) = 0.38); to daily tension of train drivers was high speed rail drivers (R(2) = 0.54), passenger train

  1. The use of systems models to identify food waste drivers

    NARCIS (Netherlands)

    Grainger, Matthew James; Aramyan, Lusine; Logatcheva, Katja; Piras, Simone; Righi, Simone; Setti, Marco; Vittuari, Matteo; Stewart, Gavin Bruce

    2018-01-01

    In developed countries, the largest share of food waste is produced at household level. Most studies on consumers’ food waste use models that identify covariates as significant when in fact they may not be, particularly where these models use many variables. Here, using EU-level Eurobarometer data

  2. Genetic similarity between cancers and comorbid Mendelian diseases identifies candidate driver genes.

    Science.gov (United States)

    Melamed, Rachel D; Emmett, Kevin J; Madubata, Chioma; Rzhetsky, Andrey; Rabadan, Raul

    2015-04-30

    Despite large-scale cancer genomics studies, key somatic mutations driving cancer, and their functional roles, remain elusive. Here, we propose that analysis of comorbidities of Mendelian diseases with cancers provides a novel, systematic way to discover new cancer genes. If germline genetic variation in Mendelian loci predisposes bearers to common cancers, the same loci may harbour cancer-associated somatic variation. Compilations of clinical records spanning over 100 million patients provide an unprecedented opportunity to assess clinical associations between Mendelian diseases and cancers. We systematically compare these comorbidities against recurrent somatic mutations from more than 5,000 patients across many cancers. Using multiple measures of genetic similarity, we show that a Mendelian disease and comorbid cancer indeed have genetic alterations of significant functional similarity. This result provides a basis to identify candidate drivers in cancers including melanoma and glioblastoma. Some Mendelian diseases demonstrate 'pan-cancer' comorbidity and shared genetics across cancers.

  3. Stability analysis of automobile driver steering control

    Science.gov (United States)

    Allen, R. W.

    1981-01-01

    In steering an automobile, the driver must basically control the direction of the car's trajectory (heading angle) and the lateral deviation of the car relative to a delineated pathway. A previously published linear control model of driver steering behavior which is analyzed from a stability point of view is considered. A simple approximate expression for a stability parameter, phase margin, is derived in terms of various driver and vehicle control parameters, and boundaries for stability are discussed. A field test study is reviewed that includes the measurement of driver steering control parameters. Phase margins derived for a range of vehicle characteristics are found to be generally consistent with known adaptive properties of the human operator. The implications of these results are discussed in terms of driver adaptive behavior.

  4. Identifying drivers for consumer acceptance and purchase intent of corn tortilla.

    Science.gov (United States)

    Herrera-Corredor, J A; Saidu, J E P; Khachatryan, A; Prinyawiwatkul, W; Carballo-Carballo, A; Zepeda-Bautista, R

    2007-11-01

    The traditional production of corn tortilla has been modified by new processing technologies to make possible a commercial-scale production; this practice has resulted in products having sensory properties different from those produced by the traditional method. There is no published information on sensory attributes driving acceptance and purchase intent of corn tortillas. Identifying sensory drivers for acceptance and purchase intent of corn tortillas will help commercially produce products that satisfy consumers' expectations. A consumer study was conducted to evaluate acceptance and purchase intent of corn tortillas and determine drivers of acceptance and purchase intent of the products. Ten samples of corn tortillas were selected to represent a variety of corn tortillas available in the Mexican market. Three hundred Mexican consumers evaluated acceptability of appearance, color, thickness, rollability, resistance to tearing, aroma, chewiness, taste and aftertaste, and overall liking using a 9-point hedonic scale. Overall acceptance and purchase intent were determined with a yes/no scale. Analysis of variance and multivariate analysis of variance revealed that consumers were able to differentiate differences in sensory acceptability among 10 samples. For example, 2 homemade and 1 small commercial-scale samples, with an overall liking score of 6.6 to 6.7, were more acceptable than others. Rollability, resistance to tearing, and chewiness were attributes underlying overall differences among 10 samples. Attributes determining overall acceptance of corn tortillas were chewiness and overall liking. Purchase intent was influenced by overall appearance, rollability, chewiness, taste, and overall liking. This study revealed critical sensory attributes and their weights given by Mexican consumers when making decisions for acceptance and purchase intent of corn tortilla.

  5. Systems analysis for modular versus multi-beam HIF drivers

    International Nuclear Information System (INIS)

    Meier, W.R.; Logan, B.G.

    2004-01-01

    Previous modeling for HIF drivers concentrated on designs in which 100 or more beams are grouped in an array and accelerated through a common set of induction cores. The total beam energy required by the target is achieved by the combination of final ion energy, current per beam and number of beams. Economic scaling favors a large number of small (∼1 cm dia.) beams. An alternative architecture has now been investigated, which we refer to as a modular driver. In this case, the driver is subdivided into many (>10) independent accelerators with one or many beams each. A key objective of the modular driver approach is to be able to demonstrate all aspects of the driver (source-to-target) by building a single, lower cost module compared to a full-scale, multi-beam driver. We consider and compare several design options for the modular driver including single-beam designs with solenoid instead of quadrupole magnets in order to transport the required current per module in a single beam, solenoid/quad combinations, and multi-beam, all-quad designs. The drivers are designed to meet the requirements of the hybrid target, which can accommodate a larger spot size than the distributed radiator target that was used for the Robust Point Design. We compare the multi-beam and modular driver configuration for a variety and assumptions and identify key technology advances needed for the modular design

  6. Identifying ecological and fishing drivers of bycatch in a U.S. groundfish fishery.

    Science.gov (United States)

    Jannot, Jason E; Holland, Daniel S

    2013-10-01

    Fisheries bycatch is driven by both ecological (e.g., area, season) and social (e.g., fisher behavior) factors that are often difficult to disentangle. We demonstrate a method for comparing fishery-dependent bycatch to fishery-independent catch to delineate the influence of ecological and social factors on bycatch and provide insights for bycatch management. We used data from commercial fishing vessels in the U.S. west coast trawl groundfish fishery (fishery-dependent data collected by fisheries observers) and scientific data from the U.S. west coast bottom trawl groundfish survey (fishery-independent data) to compare the relative effects of season, time of day, target group, depth, and latitude on the expected catch of 12 bycatch species of management interest. This comparison highlights two important relationships that help identify drivers of bycatch. First, when the effect of season, time of day, depth, or latitude on bycatch in both the commercial and scientific data is positive, ecological processes are likely strong drivers of bycatch, suggesting technical approaches (e.g., temporal or spatial closures, gear modifications) might effectively control bycatch. Alternatively, when the effects of season, time of day, depth, latitude, or target group appear only in the commercial data (but not in survey data), fisher behavior is likely the stronger driver of bycatch, suggesting a need to strengthen incentives for fishers to change behavior to avoid bycatch (e.g., regulatory quotas). Two other patterns emerge that suggest that fishery bycatch is not associated with temporal, target, or spatial variables, implying that either current incentives to avoid bycatch are working (i.e., when survey expected catch is positively correlated with variables, but fishery catch is not) or bycatch is a product of unstudied or stochastic processes (i.e., variables are not correlated with expected catch in either data set) and continued monitoring is recommended. Our analysis

  7. [The clinical analysis of 51 taxi drivers with peptic ulcer].

    Science.gov (United States)

    Luo, Wen-wen; Zhao, Jie; Fu, Yun-xian; Ma, A-huo

    2012-02-01

    To explore the main pathogenic factor causing the peptic ulcer of taxi drivers, which provide the basis for its prevention. 98 taxi drivers were inspected by electronic endoscopy, according to the inspection all cases were divided into ulcers group and normal group. Then various factors were statuses by the logistic regression analysis according to the results of questionnaire. The prevalence of peptic ulcer of taxi drivers was 52.0%, and logistic regression analysis showed that dining time, taste spicy, meals temperature, smoking,alcohol, mental stress, HP infection and stomach health knowledge were statistically significant (P taxi drivers. By emphasis on diet and lifestyle adjustments, stress regulation on the basis of eradication of HP infection will help the prevention and treatment of peptic ulcer of the taxi driver.

  8. Simulated Annealing Based Algorithm for Identifying Mutated Driver Pathways in Cancer

    Directory of Open Access Journals (Sweden)

    Hai-Tao Li

    2014-01-01

    Full Text Available With the development of next-generation DNA sequencing technologies, large-scale cancer genomics projects can be implemented to help researchers to identify driver genes, driver mutations, and driver pathways, which promote cancer proliferation in large numbers of cancer patients. Hence, one of the remaining challenges is to distinguish functional mutations vital for cancer development, and filter out the unfunctional and random “passenger mutations.” In this study, we introduce a modified method to solve the so-called maximum weight submatrix problem which is used to identify mutated driver pathways in cancer. The problem is based on two combinatorial properties, that is, coverage and exclusivity. Particularly, we enhance an integrative model which combines gene mutation and expression data. The experimental results on simulated data show that, compared with the other methods, our method is more efficient. Finally, we apply the proposed method on two real biological datasets. The results show that our proposed method is also applicable in real practice.

  9. Driver education in Virginia : an analysis of performance report data.

    Science.gov (United States)

    1986-01-01

    The Virginia Highway and Transportation Research Council was asked by the State Department of Education to assist in the analysis of the driver education programs taught throughout the state. In order to do so, the Research Council developed a comput...

  10. Systematic interrogation of 3q26 identifies TLOC1 and SKIL as cancer drivers.

    Science.gov (United States)

    Hagerstrand, Daniel; Tong, Alexander; Schumacher, Steven E; Ilic, Nina; Shen, Rhine R; Cheung, Hiu Wing; Vazquez, Francisca; Shrestha, Yashaswi; Kim, So Young; Giacomelli, Andrew O; Rosenbluh, Joseph; Schinzel, Anna C; Spardy, Nicole A; Barbie, David A; Mermel, Craig H; Weir, Barbara A; Garraway, Levi A; Tamayo, Pablo; Mesirov, Jill P; Beroukhim, Rameen; Hahn, William C

    2013-09-01

    3q26 is frequently amplified in several cancer types with a common amplified region containing 20 genes. To identify cancer driver genes in this region, we interrogated the function of each of these genes by loss- and gain-of-function genetic screens. Specifically, we found that TLOC1 (SEC62) was selectively required for the proliferation of cell lines with 3q26 amplification. Increased TLOC1 expression induced anchorage-independent growth, and a second 3q26 gene, SKIL (SNON), facilitated cell invasion in immortalized human mammary epithelial cells. Expression of both TLOC1 and SKIL induced subcutaneous tumor growth. Proteomic studies showed that TLOC1 binds to DDX3X, which is essential for TLOC1-induced transformation and affected protein translation. SKIL induced invasion through upregulation of SLUG (SNAI2) expression. Together, these studies identify TLOC1 and SKIL as driver genes at 3q26 and more broadly suggest that cooperating genes may be coamplified in other regions with somatic copy number gain. These studies identify TLOC1 and SKIL as driver genes in 3q26. These observations provide evidence that regions of somatic copy number gain may harbor cooperating genes of different but complementary functions. ©2013 AACR.

  11. Exploring Driver Injury Severity at Intersection: An Ordered Probit Analysis

    Directory of Open Access Journals (Sweden)

    Yaping Zhang

    2015-02-01

    Full Text Available It is well known that intersections are the most hazardous locations; however, only little is known about driver injury severity in intersection crashes. Hence, the main goal of this study was to further examine the different factors contributing to driver injury severity involved in fatal crashes at intersections. Data used for the present analysis was from the US DOT-Fatality Analysis Reporting System (FARS crash database from the year 2011. An ordered probit model was employed to fit the fatal crash data and analyze the factors impacting each injury severity level. The analysis results displayed that driver injury severity is significantly affected by many factors. They include driver age and gender, driver ethnicity, vehicle type and age (years of use, crash type, driving drunk, speeding, violating stop sign, cognitively distracted driving, and seat belt usage. These findings from the current study are beneficial to form a solid basis for adopting corresponding measures to effectively drop injury severity suffering from intersection crash. More insights into the effects of risk factors on driver injury severity could be acquired using more advanced statistical models.

  12. Phosphoproteomics identifies driver tyrosine kinases in sarcoma cell lines and tumors.

    Science.gov (United States)

    Bai, Yun; Li, Jiannong; Fang, Bin; Edwards, Arthur; Zhang, Guolin; Bui, Marilyn; Eschrich, Steven; Altiok, Soner; Koomen, John; Haura, Eric B

    2012-05-15

    Driver tyrosine kinase mutations are rare in sarcomas, and patterns of tyrosine phosphorylation are poorly understood. To better understand the signaling pathways active in sarcoma, we examined global tyrosine phosphorylation in sarcoma cell lines and human tumor samples. Anti-phosphotyrosine antibodies were used to purify tyrosine phosphorylated peptides, which were then identified by liquid chromatography and tandem mass spectrometry. The findings were validated with RNA interference, rescue, and small-molecule tyrosine kinase inhibitors. We identified 1,936 unique tyrosine phosphorylated peptides, corresponding to 844 unique phosphotyrosine proteins. In sarcoma cells alone, peptides corresponding to 39 tyrosine kinases were found. Four of 10 cell lines showed dependence on tyrosine kinases for growth and/or survival, including platelet-derived growth factor receptor (PDGFR)α, MET, insulin receptor/insulin-like growth factor receptor signaling, and SRC family kinase signaling. Rhabdomyosarcoma samples showed overexpression of PDGFRα in 13% of examined cases, and sarcomas showed abundant tyrosine phosphorylation and expression of a number of tyrosine phosphorylated tyrosine kinases, including DDR2, EphB4, TYR2, AXL, SRC, LYN, and FAK. Together, our findings suggest that integrating global phosphoproteomics with functional analyses with kinase inhibitors can identify drivers of sarcoma growth and survival. ©2012 AACR.

  13. Exploring the effects of spatial autocorrelation when identifying key drivers of wildlife crop-raiding.

    Science.gov (United States)

    Songhurst, Anna; Coulson, Tim

    2014-03-01

    Few universal trends in spatial patterns of wildlife crop-raiding have been found. Variations in wildlife ecology and movements, and human spatial use have been identified as causes of this apparent unpredictability. However, varying spatial patterns of spatial autocorrelation (SA) in human-wildlife conflict (HWC) data could also contribute. We explicitly explore the effects of SA on wildlife crop-raiding data in order to facilitate the design of future HWC studies. We conducted a comparative survey of raided and nonraided fields to determine key drivers of crop-raiding. Data were subsampled at different spatial scales to select independent raiding data points. The model derived from all data was fitted to subsample data sets. Model parameters from these models were compared to determine the effect of SA. Most methods used to account for SA in data attempt to correct for the change in P-values; yet, by subsampling data at broader spatial scales, we identified changes in regression estimates. We consequently advocate reporting both model parameters across a range of spatial scales to help biological interpretation. Patterns of SA vary spatially in our crop-raiding data. Spatial distribution of fields should therefore be considered when choosing the spatial scale for analyses of HWC studies. Robust key drivers of elephant crop-raiding included raiding history of a field and distance of field to a main elephant pathway. Understanding spatial patterns and determining reliable socio-ecological drivers of wildlife crop-raiding is paramount for designing mitigation and land-use planning strategies to reduce HWC. Spatial patterns of HWC are complex, determined by multiple factors acting at more than one scale; therefore, studies need to be designed with an understanding of the effects of SA. Our methods are accessible to a variety of practitioners to assess the effects of SA, thereby improving the reliability of conservation management actions.

  14. Predominant hydro-climatic driver-effect relationships identified for the Baltic Sea

    Science.gov (United States)

    Chen, Y.; Destouni, G.; Vigouroux, G.; Bring, A.; Cvetkovic, V.

    2017-12-01

    Climate model outputs include numerous variables of possible interest for modelling climate change impacts on the hydrodynamics and water quality of coastal-marine systems. In addition, various climate models perform differently well and their results exhibit various degrees of uncertainty. To constructively focus and increase robustness and reliability in projection simulations and assessments of future climate-change effects on coastal-marine environments, there is a need to investigate if any climate change variables may be particularly important to consider. As a way forward to determine this for the Baltic Sea, this study identifies and considers three representative years with different hydro-climatic driver-effect settings. These include, e.g., different conditions for heat flux, wind, water levels, and freshwater and saltwater influxes to the Baltic Sea. The three representative years and their different driver-effect characteristics are further used for forcing and validation of three-dimensional hydrodynamic Baltic Sea modeling, using the FVCOM open-source code model. The simulation results show that the heat flux input is the predominant driver of water temperature conditions in the Baltic Sea. Furthermore, they show that the river runoff is significantly correlated with the saltwater influx at the open Baltic Sea boundary, with these two variables working together to predominantly determine the salinity conditions in the sea. Moreover, flow structure is studied in terms of flow directions and rates among the main marine basins of the Baltic Sea. The results show that the directions of flows are quite stable, but the flow magnitudes fluctuate considerably and are mainly influenced by the prevailing wind conditions. For the Baltic Sea, this study has thus identified as predominant driver-effect combinations: heat flux-sea temperature, runoff (and correlated open-boundary influx)-sea salinity, and wind-sea flow structure. These results facilitate and will

  15. Method for identifying drivers, barriers and synergies related to the deployment of a CO2 pipeline network : A case study for the Iberian Peninsula and Morocco

    NARCIS (Netherlands)

    Berghout, Niels; Cabal, Helena; Gouveia, João Pedro; van den Broek, Machteld; Faaij, André

    2015-01-01

    This paper provides a method to identify drivers, barriers and synergies (DBS) related to the deployment of a CO2 pipeline network. The method was demonstrated for the West Mediterranean region (WMR) (i.e. Spain, Portugal and Morocco). The method comprises a literature review, analysis of

  16. Prevalence of sleep quality disorder among Iranian drivers: a systematic review and meta-analysis

    Science.gov (United States)

    Tabrizi, Reza; Moosazadeh, Mahmood; Razzaghi, Alireza; Akbari, Maryam; Heydari, Seyed Taghi; Kavari, Seyed Habibollah; Mani, Arash; Kazemi, Maryam; Bagheri Lankarani, Kamran

    2018-01-01

    Abstract: Background: Sleep Quality Disorder (SQD) plays a major role in road accidents. So, this study was carried out to determine the prevalence of SQD among occupational drivers using systematic review and meta-analysis in Iran. Methods: All Persian and English articles between January, 2000 and October, 2015 which had reported the SQD prevalence in Iranian drivers by Pittsburgh Sleep Quality Index (PSQI) with cross-sectional design, after the quality evaluation process and achieving the required score, were selected. The heterogenic index of the studies was distinguished by using Cochran (Q) and I2 tests. Based on heterogeneity results, a random effects model was used to estimate pooled prevalence of SQD. Meta-regression was also used to investigate the heterogeneity of suspected factors. Results: In total, 936 articles were found from national and international databases. Ten articles entered to meta-analysis process, ultimately. Since heterogeneity index suggested that there is a consider-able heterogeneity among the results of primary studies (I-squared = 98.8%, Q= 754.1, p less than 0.001), the overall estimation of SQD among Iranian drivers was conducted using random-effects model and its rate was estimated to be 53.4% (95% CI: 38.9-67.8). Conclusions: Our study demonstrated that more than half of Iranian drivers have SQD. Identifying the drivers with SQD by periodic examinations and providing advice and health care among occupational drivers could be appropriate solutions for decreasing the accident risks. PMID:29362294

  17. A scenario elicitation methodology to identify the drivers of electricity infrastructure cost in South America

    Science.gov (United States)

    Moksnes, Nandi; Taliotis, Constantinos; Broad, Oliver; de Moura, Gustavo; Howells, Mark

    2017-04-01

    Developing a set of scenarios to assess a proposed policy or future development pathways requires a certain level of information, as well as establishing the socio-economic context. As the future is difficult to predict, great care in defining the selected scenarios is needed. Even so it can be difficult to assess if the selected scenario is covering the possible solution space. Instead, this paper's methodology develops a large set of scenarios (324) in OSeMOSYS using the SAMBA 2.0 (South America Model Base) model to assess long-term electricity supply scenarios and applies a scenario-discovery statistical data mining algorithm, Patient Rule Induction Method (PRIM). By creating a multidimensional space, regions related to high and low cost can be identified as well as their key driver. The six key drivers are defined a priori in three (high, medium, low) or two levers (high, low): 1) Demand projected from GDP, population, urbanization and transport, 2) Fossil fuel price, 3) Climate change impact on hydropower, 4) Renewable technology learning rate, 5) Discount rate, 6) CO2 emission targets.

  18. Meta-analysis of graduated driver licensing laws.

    Science.gov (United States)

    2015-11-01

    The objective of the present study was to assess the effectiveness of GDL programs for reducing total, injury, and fatal crashes among drivers 15 to 20 years old by conducting a meta-analysis of GDL research since 2001 that evaluated the effectivenes...

  19. Thermal analysis of LED lamps for optimal driver integration

    NARCIS (Netherlands)

    Perpiñà, X.; Werkhoven, R.J.; Vellvehi, M.; Jakovenko, J.; Jordà, X.; Kunen, J.M.G.; Bancken, P.; Bolt, P.J.

    2015-01-01

    This paper studies the thermal influence of a light-emitting diode (LED) driver on a retrofit LED lamp, also reporting on a procedure for its thermal characterization and multiscale modeling. In this analysis, temperature is measured by infrared thermography and monitoring specific locations with

  20. A Systems Biology Approach Identifies FUT8 as a Driver of Melanoma Metastasis.

    Science.gov (United States)

    Agrawal, Praveen; Fontanals-Cirera, Barbara; Sokolova, Elena; Jacob, Samson; Vaiana, Christopher A; Argibay, Diana; Davalos, Veronica; McDermott, Meagan; Nayak, Shruti; Darvishian, Farbod; Castillo, Mireia; Ueberheide, Beatrix; Osman, Iman; Fenyö, David; Mahal, Lara K; Hernando, Eva

    2017-06-12

    Association of aberrant glycosylation with melanoma progression is based mainly on analyses of cell lines. Here we present a systems-based study of glycomic changes and corresponding enzymes associated with melanoma metastasis in patient samples. Upregulation of core fucosylation (FUT8) and downregulation of α-1,2 fucosylation (FUT1, FUT2) were identified as features of metastatic melanoma. Using both in vitro and in vivo studies, we demonstrate FUT8 is a driver of melanoma metastasis which, when silenced, suppresses invasion and tumor dissemination. Glycoprotein targets of FUT8 were enriched in cell migration proteins including the adhesion molecule L1CAM. Core fucosylation impacted L1CAM cleavage and the ability of L1CAM to support melanoma invasion. FUT8 and its targets represent therapeutic targets in melanoma metastasis. Copyright © 2017 Elsevier Inc. All rights reserved.

  1. Analysis of an induction linac driver system for inertial fusion

    International Nuclear Information System (INIS)

    Hovingh, J.; Brady, V.O.; Faltens, A.; Keefe, D.; Lee, E.P.

    1987-07-01

    A linear induction accelerator that produces a beam of energetic (5 to 20 GeV) heavy (130 to 210 amu) ions is a prime candidate as a driver for inertial fusion. Continuing developments in sources for ions with charge state greater than unity allow a potentially large reduction in the driver cost and an increase in the driver efficiency. The use of high undepressed tunes (σ 0 ≅ 85 0 ) and low depressed tunes (σ ≅ 8.5 0 ) also contributes to a potentially large reduction in the driver cost. The efficiency and cost of the induction linac system are discussed as a function of output energy and pulse repetition frequency for several ion masses and charge states. The cost optimization code LIACEP, including accelerating module alternatives, transport modules, and scaling laws, is presented. Items with large cost-leverage are identified as a guide to future research activities and development of technology that can yield substantial reductions in the accelerator system cost and improvement in the accelerator system efficiency. Finally, a cost-effective strategy using heavy ion induction linacs in a development scenario for inertial fusion is presented. 34 refs., 6 figs., 7 tabs

  2. Analysis of an induction linac driver system for inertial fusion

    International Nuclear Information System (INIS)

    Hovingh, J.; Brady, V.O.; Faltens, A.; Keefe, D.; Lee, E.P.

    1987-01-01

    A linear induction accelerator that produces a beam of energetic (5 to 20 GeV) heavy (130 to 210 amu) ions is a prime candidate as a driver for inertial fusion. Continuing developments in sources for ions with charge state greater than unity allow a potentially large reduction in the driver cost and an increase in the driver efficiency. The use of high undepressed tunes (σ ≅ 85 0 ) and low depressed tunes (σ ≅ 8.5 0 ) also contributes to a potentially large reduction in the driver cost. The efficiency and cost of the induction linac system is discussed as a function of output energy and pulse repetition frequency for several ion masses and charge states. The cost optimization code LIACEP, including accelerating module alternatives, transport modules, and scaling laws is presented. Items with large cost-leverage are identified as a guide to future research activities and development of technology that can yield substantial reductions in the accelerator system cost and improvement in the accelerator system efficiency. Finally, a cost-effective strategy using heavy-ion induction linacs in a development scenario for inertial fusion is presented

  3. What the drivers do and do not tell you: using verbal protocol analysis to investigate driver behaviour in emergency situations.

    Science.gov (United States)

    Banks, Victoria A; Stanton, Neville A; Harvey, Catherine

    2014-01-01

    Although task analysis of pedestrian detection can provide us with useful insights into how a driver may behave in emergency situations, the cognitive elements of driver decision-making are less well understood. To assist in the design of future Advanced Driver Assistance Systems, such as Autonomous Emergency Brake systems, it is essential that the cognitive elements of the driving task are better understood. This paper uses verbal protocol analysis in an exploratory fashion to uncover the thought processes underlying behavioural outcomes represented by hard data collected using the Southampton University Driving Simulator.

  4. Using multilevel models to identify drivers of landscape-genetic structure among management areas.

    Science.gov (United States)

    Dudaniec, Rachael Y; Rhodes, Jonathan R; Worthington Wilmer, Jessica; Lyons, Mitchell; Lee, Kristen E; McAlpine, Clive A; Carrick, Frank N

    2013-07-01

    Landscape genetics offers a powerful approach to understanding species' dispersal patterns. However, a central obstacle is to account for ecological processes operating at multiple spatial scales, while keeping research outcomes applicable to conservation management. We address this challenge by applying a novel multilevel regression approach to model landscape drivers of genetic structure at both the resolution of individuals and at a spatial resolution relevant to management (i.e. local government management areas: LGAs) for the koala (Phascolartos cinereus) in Australia. Our approach allows for the simultaneous incorporation of drivers of landscape-genetic relationships operating at multiple spatial resolutions. Using microsatellite data for 1106 koalas, we show that, at the individual resolution, foliage projective cover (FPC) facilitates high gene flow (i.e. low resistance) until it falls below approximately 30%. Out of six additional land-cover variables, only highways and freeways further explained genetic distance after accounting for the effect of FPC. At the LGA resolution, there was significant variation in isolation-by-resistance (IBR) relationships in terms of their slopes and intercepts. This was predominantly explained by the average resistance distance among LGAs, with a weaker effect of historical forest cover. Rates of recent landscape change did not further explain variation in IBR relationships among LGAs. By using a novel multilevel model, we disentangle the effect of landscape resistance on gene flow at the fine resolution (i.e. among individuals) from effects occurring at coarser resolutions (i.e. among LGAs). This has important implications for our ability to identify appropriate scale-dependent management actions. © 2013 John Wiley & Sons Ltd.

  5. Distraction 'on the buses': a novel framework of ergonomics methods for identifying sources and effects of bus driver distraction.

    Science.gov (United States)

    Salmon, Paul M; Young, Kristie L; Regan, Michael A

    2011-05-01

    Driver distraction represents a significant problem in the public transport sector. Various methods exist for investigating distraction; however, the majority are difficult to apply within the context of naturalistic bus driving. This article investigates the nature of bus driver distraction at a major Australian public transport company, including the sources of distraction present, and their effects on driver performance, through the application of a novel framework of ergonomics methods. The framework represents a novel approach for assessing distraction in a real world context. The findings suggest that there are a number of sources of distraction that could potentially distract bus drivers while driving, including those that derive from the driving task itself, and those that derive from the additional requirements associated with bus operation, such as passenger and ticketing-related distractions. A taxonomy of the sources of bus driver distraction identified is presented, along with a discussion of proposed countermeasures designed to remove the sources identified or mitigate their effects on driver performance. Copyright © 2010 Elsevier Ltd and The Ergonomics Society. All rights reserved.

  6. Revealing the underlying drivers of disaster risk: a global analysis

    Science.gov (United States)

    Peduzzi, Pascal

    2017-04-01

    Disasters events are perfect examples of compound events. Disaster risk lies at the intersection of several independent components such as hazard, exposure and vulnerability. Understanding the weight of each component requires extensive standardisation. Here, I show how footprints of past disastrous events were generated using GIS modelling techniques and used for extracting population and economic exposures based on distribution models. Using past event losses, it was possible to identify and quantify a wide range of socio-politico-economic drivers associated with human vulnerability. The analysis was applied to about nine thousand individual past disastrous events covering earthquakes, floods and tropical cyclones. Using a multiple regression analysis on these individual events it was possible to quantify each risk component and assess how vulnerability is influenced by various hazard intensities. The results show that hazard intensity, exposure, poverty, governance as well as other underlying factors (e.g. remoteness) can explain the magnitude of past disasters. Analysis was also performed to highlight the role of future trends in population and climate change and how this may impacts exposure to tropical cyclones in the future. GIS models combined with statistical multiple regression analysis provided a powerful methodology to identify, quantify and model disaster risk taking into account its various components. The same methodology can be applied to various types of risk at local to global scale. This method was applied and developed for the Global Risk Analysis of the Global Assessment Report on Disaster Risk Reduction (GAR). It was first applied on mortality risk in GAR 2009 and GAR 2011. New models ranging from global assets exposure and global flood hazard models were also recently developed to improve the resolution of the risk analysis and applied through CAPRA software to provide probabilistic economic risk assessments such as Average Annual Losses (AAL

  7. Detection of driver metabolites in the human liver metabolic network using structural controllability analysis

    Science.gov (United States)

    2014-01-01

    Background Abnormal states in human liver metabolism are major causes of human liver diseases ranging from hepatitis to hepatic tumor. The accumulation in relevant data makes it feasible to derive a large-scale human liver metabolic network (HLMN) and to discover important biological principles or drug-targets based on network analysis. Some studies have shown that interesting biological phenomenon and drug-targets could be discovered by applying structural controllability analysis (which is a newly prevailed concept in networks) to biological networks. The exploration on the connections between structural controllability theory and the HLMN could be used to uncover valuable information on the human liver metabolism from a fresh perspective. Results We applied structural controllability analysis to the HLMN and detected driver metabolites. The driver metabolites tend to have strong ability to influence the states of other metabolites and weak susceptibility to be influenced by the states of others. In addition, the metabolites were classified into three classes: critical, high-frequency and low-frequency driver metabolites. Among the identified 36 critical driver metabolites, 27 metabolites were found to be essential; the high-frequency driver metabolites tend to participate in different metabolic pathways, which are important in regulating the whole metabolic systems. Moreover, we explored some other possible connections between the structural controllability theory and the HLMN, and find that transport reactions and the environment play important roles in the human liver metabolism. Conclusion There are interesting connections between the structural controllability theory and the human liver metabolism: driver metabolites have essential biological functions; the crucial role of extracellular metabolites and transport reactions in controlling the HLMN highlights the importance of the environment in the health of human liver metabolism. PMID:24885538

  8. Evapotranspiration in the Nile Basin: Identifying dynamics and drivers, 2002–2011

    Science.gov (United States)

    Alemu, Henok; Kaptue, Armel T.; Senay, Gabriel; Wimberly, Michael C.; Henebry, Geoffrey M.

    2015-01-01

    Analysis of the relationship between evapotranspiration (ET) and its natural and anthropogenic drivers is critical in water-limited basins such as the Nile. The spatiotemporal relationships of ET with rainfall and vegetation dynamics in the Nile Basin during 2002–2011 were analyzed using satellite-derived data. Non-parametric statistics were used to quantify ET-rainfall interactions and trends across land cover types and subbasins. We found that 65% of the study area (2.5 million km2) showed significant (p rainfall, whereas 7% showed significant negative correlations. As expected, positive ET-rainfall correlations were observed over natural vegetation, mixed croplands/natural vegetation, and croplands, with a few subbasin-specific exceptions. In particular, irrigated croplands, wetlands and some forests exhibited negative correlations. Trend tests revealed spatial clusters of statistically significant trends in ET (6% of study area was negative; 12% positive), vegetation greenness (24% negative; 12% positive) and rainfall (11% negative; 1% positive) during 2002–2011. The Nile Delta, Ethiopian highlands and central Uganda regions showed decline in ET while central parts of Sudan, South Sudan, southwestern Ethiopia and northeastern Uganda showed increases. Except for a decline in ET in central Uganda, the detected changes in ET (both positive and negative) were not associated with corresponding changes in rainfall. Detected declines in ET in the Nile delta and Ethiopian highlands were found to be attributable to anthropogenic land degradation, while the ET decline in central Uganda is likely caused by rainfall reduction.

  9. LowMACA: exploiting protein family analysis for the identification of rare driver mutations in cancer.

    Science.gov (United States)

    Melloni, Giorgio E M; de Pretis, Stefano; Riva, Laura; Pelizzola, Mattia; Céol, Arnaud; Costanza, Jole; Müller, Heiko; Zammataro, Luca

    2016-02-09

    The increasing availability of resequencing data has led to a better understanding of the most important genes in cancer development. Nevertheless, the mutational landscape of many tumor types is heterogeneous and encompasses a long tail of potential driver genes that are systematically excluded by currently available methods due to the low frequency of their mutations. We developed LowMACA (Low frequency Mutations Analysis via Consensus Alignment), a method that combines the mutations of various proteins sharing the same functional domains to identify conserved residues that harbor clustered mutations in multiple sequence alignments. LowMACA is designed to visualize and statistically assess potential driver genes through the identification of their mutational hotspots. We analyzed the Ras superfamily exploiting the known driver mutations of the trio K-N-HRAS, identifying new putative driver mutations and genes belonging to less known members of the Rho, Rab and Rheb subfamilies. Furthermore, we applied the same concept to a list of known and candidate driver genes, and observed that low confidence genes show similar patterns of mutation compared to high confidence genes of the same protein family. LowMACA is a software for the identification of gain-of-function mutations in putative oncogenic families, increasing the amount of information on functional domains and their possible role in cancer. In this context LowMACA emphasizes the role of genes mutated at low frequency otherwise undetectable by classical single gene analysis. LowMACA is an R package available at http://www.bioconductor.org/packages/release/bioc/html/LowMACA.html. It is also available as a GUI standalone downloadable at: https://cgsb.genomics.iit.it/wiki/projects/LowMACA.

  10. Evapotranspiration in the Nile Basin: Identifying Dynamics and Drivers, 2002–2011

    Directory of Open Access Journals (Sweden)

    Henok Alemu

    2015-09-01

    Full Text Available Analysis of the relationship between evapotranspiration (ET and its natural and anthropogenic drivers is critical in water-limited basins such as the Nile. The spatiotemporal relationships of ET with rainfall and vegetation dynamics in the Nile Basin during 2002–2011 were analyzed using satellite-derived data. Non-parametric statistics were used to quantify ET-rainfall interactions and trends across land cover types and subbasins. We found that 65% of the study area (2.5 million km2 showed significant (p < 0.05 positive correlations between monthly ET and rainfall, whereas 7% showed significant negative correlations.  As expected, positive ET-rainfall correlations were observed over natural vegetation, mixed croplands/natural vegetation, and croplands, with a few subbasin-specific exceptions. In particular, irrigated croplands, wetlands and some forests exhibited negative correlations. Trend tests revealed spatial clusters of statistically significant trends in ET (6% of study area was negative; 12% positive, vegetation greenness (24% negative; 12% positive and rainfall (11% negative; 1% positive during 2002–2011. The Nile Delta, Ethiopian highlands and central Uganda regions showed decline in ET while central parts of Sudan, South Sudan, southwestern Ethiopia and northeastern Uganda showed increases. Except for a decline in ET in central Uganda, the detected changes in ET (both positive and negative were not associated with corresponding changes in rainfall. Detected declines in ET in the Nile delta and Ethiopian highlands were found to be attributable to anthropogenic land degradation, while the ET decline in central Uganda is likely caused by rainfall reduction.

  11. Automated network analysis identifies core pathways in glioblastoma.

    Directory of Open Access Journals (Sweden)

    Ethan Cerami

    2010-02-01

    Full Text Available Glioblastoma multiforme (GBM is the most common and aggressive type of brain tumor in humans and the first cancer with comprehensive genomic profiles mapped by The Cancer Genome Atlas (TCGA project. A central challenge in large-scale genome projects, such as the TCGA GBM project, is the ability to distinguish cancer-causing "driver" mutations from passively selected "passenger" mutations.In contrast to a purely frequency based approach to identifying driver mutations in cancer, we propose an automated network-based approach for identifying candidate oncogenic processes and driver genes. The approach is based on the hypothesis that cellular networks contain functional modules, and that tumors target specific modules critical to their growth. Key elements in the approach include combined analysis of sequence mutations and DNA copy number alterations; use of a unified molecular interaction network consisting of both protein-protein interactions and signaling pathways; and identification and statistical assessment of network modules, i.e. cohesive groups of genes of interest with a higher density of interactions within groups than between groups.We confirm and extend the observation that GBM alterations tend to occur within specific functional modules, in spite of considerable patient-to-patient variation, and that two of the largest modules involve signaling via p53, Rb, PI3K and receptor protein kinases. We also identify new candidate drivers in GBM, including AGAP2/CENTG1, a putative oncogene and an activator of the PI3K pathway; and, three additional significantly altered modules, including one involved in microtubule organization. To facilitate the application of our network-based approach to additional cancer types, we make the method freely available as part of a software tool called NetBox.

  12. Driver steering model for closed-loop steering function analysis

    Science.gov (United States)

    Bolia, Pratiksh; Weiskircher, Thomas; Müller, Steffen

    2014-05-01

    In this paper, a two level preview driver steering control model for the use in numerical vehicle dynamics simulation is introduced. The proposed model is composed of cascaded control loops: The outer loop is the path following layer based on potential field framework. The inner loop tries to capture the driver's physical behaviour. The proposed driver model allows easy implementation of different driving situations to simulate a wide range of different driver types, moods and vehicle types. The expediency of the proposed driver model is shown with the help of developed driver steering assist (DSA) function integrated with a conventional series production (Electric Power steering System with rack assist servo unit) system. With the help of the DSA assist function, the driver is prevented from over saturating the front tyre forces and loss of stability and controllability during cornering. The simulation results show different driver reactions caused by the change in the parameters or properties of the proposed driver model if the DSA assist function is activated. Thus, the proposed driver model is useful for the advanced driver steering and vehicle stability assist function evaluation in the early stage of vehicle dynamics handling and stability evaluation.

  13. Driver sleepiness on YouTube: A content analysis.

    Science.gov (United States)

    Hawkins, A N; Filtness, A J

    2017-02-01

    Driver sleepiness is a major contributor to severe crashes and fatalities on our roads. Many people continue to drive despite being aware of feeling tired. Prevention relies heavily on education campaigns as it is difficult to police driver sleepiness. The video sharing social media site YouTube is extremely popular, particularly with at risk driver demographics. Content and popularity of uploaded videos can provide insight into the quality of publicly accessible driver sleepiness information. The purpose of this research was to answer two questions; firstly, how prevalent are driver sleepiness videos on YouTube? And secondly, what are the general characteristics of driver sleepiness videos in terms of (a) outlook on driver sleepiness, (b) tone, (c) countermeasures to driver sleepiness, and, (d) driver demographics. Using a keywords search, 442 relevant videos were found from a five year period (2nd December 2009-2nd December 2014). Tone, outlook, and countermeasure use were thematically coded. Driver demographic and video popularity data also were recorded. The majority of videos portrayed driver sleepiness as dangerous. However, videos that had an outlook towards driver sleepiness being amusing were viewed more often and had more mean per video comments and likes. Humorous videos regardless of outlook, were most popular. Most information regarding countermeasures to deal with driver sleepiness was accurate. Worryingly, 39.8% of videos with countermeasure information contained some kind of ineffective countermeasure. The use of humour to convey messages about the dangers of driver sleepiness may be a useful approach in educational interventions. Copyright © 2015 Elsevier Ltd. All rights reserved.

  14. Analysis of IFR driver fuel hot channel factors

    International Nuclear Information System (INIS)

    Ku, J.Y.; Chang, L.K.; Mohr, D.

    1994-01-01

    Thermal-hydraulic uncertainty factors for Integral Fast Reactor (IFR) driver fuels have been determined based primarily on the database obtained from the predecessor fuels used in the IFR prototype, Experimental Breeder Reactor II. The uncertainty factors were applied to the channel factors (HCFs) analyses to obtain separate overall HCFs for fuel and cladding for steady-state analyses. A ''semistatistical horizontal method'' was used in the HCFs analyses. The uncertainty factor of the fuel thermal conductivity dominates the effects considered in the HCFs analysis; the uncertainty in fuel thermal conductivity will be reduced as more data are obtained to expand the currently limited database for the IFR ternary metal fuel (U-20Pu-10Zr). A set of uncertainty factors to be used for transient analyses has also been derived

  15. Analysis of IFR driver fuel hot channel factors

    International Nuclear Information System (INIS)

    Ku, J.Y.; Chang, L.K.; Mohr, D.

    2004-01-01

    Thermal-hydraulic uncertainty factors for Integral Fast Reactor (IFR) driver fuels have been determined based primarily on the database obtained from the predecessor fuels used in the IFR prototype. Experimental Breeder Reactor II. The uncertainty factors were applied to the hot channel factors (HCFs) analyses to obtain separate overall HCFs for fuel and cladding for steady-state analyses. A 'semistatistical horizontal method' was used in the HCFs analyses. The uncertainty factor of the fuel thermal conductivity dominates the effects considered in the HCFs analysis; the uncertainty in fuel thermal conductivity will be reduced as more data are obtained to expand the currently limited database for the IFR ternary metal fuel (U-20Pu-10Zr). A set of uncertainty factors to be used for transient analyses has also been derived. (author)

  16. A possibility to identify the vehicle driver through complex forensic and criminalistic expertise--case report.

    Science.gov (United States)

    Păduraru, G; Knieling, A; Scripcaru, C; Iliescu, Diana Bulgaru

    2014-01-01

    Traffic accidents can have more or less dramatic consequences that involve penal and civil responsibility with amplitude extending over long periods of time. In many cases, substitution of the driver with the passenger in order to avoid criminal responsibility is often remarked. The substitution takes place with the passenger's agreement or, in cases with dramatic consequences (coma or death), without his/her consent. These situations are encountered in civil cases regarding insurance fraud. In addition to forensic medical expertise, to aid the experts, mathematical modeling and computer simulation of the dynamics of vehicle passengers is a tool that completes the criminal expertise of traffic accidents. This paper presents the method of identification of the person driving the vehicle based on the computer simulation of vehicle occupants' dynamics.

  17. Born to roam? Surveying cat owners in Tasmania, Australia, to identify the drivers and barriers to cat containment.

    Science.gov (United States)

    McLeod, Lynette J; Hine, Donald W; Bengsen, Andrew J

    2015-12-01

    Free-roaming domestic cats, Felis catus, are a major public nuisance in neighbourhoods across the world, and have been linked to biodiversity loss and a host of community health problems. Owners who let their cats roam, also place their cats at risk of serious injury. One management strategy that is gaining considerable support involves encouraging cat owners to contain their pets within their property. Contemporary behaviour change models highlight the importance of identifying drivers and barriers that encourage and discourage target behaviours such as cat containment. Results from a random dial phone survey of 356 cat owners in northern Tasmania identified four distinct cat containment profiles: owners who contained their cat all the time, owners who only contained their cat at night, owners who sporadically contained their cat with no set routine, and owners who made no attempt to contain their pet. Our results indicated that cat-owners' decisions to contain or not contain their cats were guided by a range of factors including owners' beliefs about their ability to implement an effective containment strategy and their views about the physical and psychological needs of their cats. The results are discussed in terms of improving the behavioural effectiveness of cat containment interventions by selecting appropriate behavioural change tools for the identified drivers and barriers, and developing targeted engagement strategies and messaging. Copyright © 2015 Elsevier B.V. All rights reserved.

  18. Significant drivers of the virtual water trade evaluated with a multivariate regression analysis

    Science.gov (United States)

    Tamea, Stefania; Laio, Francesco; Ridolfi, Luca

    2014-05-01

    International trade of food is vital for the food security of many countries, which rely on trade to compensate for an agricultural production insufficient to feed the population. At the same time, food trade has implications on the distribution and use of water resources, because through the international trade of food commodities, countries virtually displace the water used for food production, known as "virtual water". Trade thus implies a network of virtual water fluxes from exporting to importing countries, which has been estimated to displace more than 2 billions of m3 of water per year, or about the 2% of the annual global precipitation above land. It is thus important to adequately identify the dynamics and the controlling factors of the virtual water trade in that it supports and enables the world food security. Using the FAOSTAT database of international trade and the virtual water content available from the Water Footprint Network, we reconstructed 25 years (1986-2010) of virtual water fluxes. We then analyzed the dependence of exchanged fluxes on a set of major relevant factors, that includes: population, gross domestic product, arable land, virtual water embedded in agricultural production and dietary consumption, and geographical distance between countries. Significant drivers have been identified by means of a multivariate regression analysis, applied separately to the export and import fluxes of each country; temporal trends are outlined and the relative importance of drivers is assessed by a commonality analysis. Results indicate that population, gross domestic product and geographical distance are the major drivers of virtual water fluxes, with a minor (but non-negligible) contribution given by the agricultural production of exporting countries. Such drivers have become relevant for an increasing number of countries throughout the years, with an increasing variance explained by the distance between countries and a decreasing role of the gross

  19. Identifying climate drivers of infectious disease dynamics: recent advances and challenges ahead.

    Science.gov (United States)

    Metcalf, C Jessica E; Walter, Katharine S; Wesolowski, Amy; Buckee, Caroline O; Shevliakova, Elena; Tatem, Andrew J; Boos, William R; Weinberger, Daniel M; Pitzer, Virginia E

    2017-08-16

    Climate change is likely to profoundly modulate the burden of infectious diseases. However, attributing health impacts to a changing climate requires being able to associate changes in infectious disease incidence with the potentially complex influences of climate. This aim is further complicated by nonlinear feedbacks inherent in the dynamics of many infections, driven by the processes of immunity and transmission. Here, we detail the mechanisms by which climate drivers can shape infectious disease incidence, from direct effects on vector life history to indirect effects on human susceptibility, and detail the scope of variation available with which to probe these mechanisms. We review approaches used to evaluate and quantify associations between climate and infectious disease incidence, discuss the array of data available to tackle this question, and detail remaining challenges in understanding the implications of climate change for infectious disease incidence. We point to areas where synthesis between approaches used in climate science and infectious disease biology provide potential for progress. © 2017 The Authors.

  20. Analysis of driver merging behavior at lane drops on freeways.

    Science.gov (United States)

    2013-12-01

    Lane changing assistance systems advise drivers on safe gaps for making mandatory lane changes at lane drops. In this : study, such a system was developed using a Bayes classifier and a decision tree to model lane changes. Detailed vehicle : trajecto...

  1. Identifying drivers of overall satisfaction in patients receiving HIV primary care: a cross-sectional study.

    Directory of Open Access Journals (Sweden)

    Bich N Dang

    Full Text Available OBJECTIVE: This study seeks to understand the drivers of overall patient satisfaction in a predominantly low-income, ethnic-minority population of HIV primary care patients. The study's primary aims were to determine 1 the component experiences which contribute to patients' evaluations of their overall satisfaction with care received, and 2 the relative contribution of each component experience in explaining patients' evaluation of overall satisfaction. METHODS: We conducted a cross-sectional study of 489 adult patients receiving HIV primary care at two clinics in Houston, Texas, from January 13-April 21, 2011. The participation rate among eligible patients was 94%. The survey included 15 questions about various components of the care experience, 4 questions about the provider experience and 3 questions about overall care. To ensure that the survey was appropriately tailored to our clinic population and the list of component experiences reflected all aspects of the care experience salient to patients, we conducted in-depth interviews with key providers and clinic staff and pre-tested the survey instrument with patients. RESULTS: Patients' evaluation of their provider correlated the strongest with their overall satisfaction (standardized β = 0.445, p<0.001 and accounted for almost half of the explained variance. Access and availability, like clinic hours and ease of calling the clinic, also correlated with overall satisfaction, but less strongly. Wait time and parking, despite receiving low patient ratings, did not correlate with overall satisfaction. CONCLUSIONS: The patient-provider relationship far exceeds other component experiences of care in its association with overall satisfaction. Our study suggests that interventions to improve overall patient satisfaction should focus on improving patients' evaluation of their provider.

  2. Environmental drivers of viral community composition in Antarctic soils identified by viromics.

    Science.gov (United States)

    Adriaenssens, Evelien M; Kramer, Rolf; Van Goethem, Marc W; Makhalanyane, Thulani P; Hogg, Ian; Cowan, Don A

    2017-07-19

    The Antarctic continent is considered the coldest and driest place on earth with simple ecosystems, devoid of higher plants. Soils in the ice-free regions of Antarctica are known to harbor a wide range of microorganisms from primary producers to grazers, yet their ecology and particularly the role of viruses is poorly understood. In this study, we examined the virus community structures of 14 soil samples from the Mackay Glacier region. Viral communities were extracted from soil and the dsDNA was extracted, amplified using single-primer amplification, and sequenced using the Ion Torrent Proton platform. Metadata on soil physico-chemistry was collected from all sites. Both read and contig datasets were analyzed with reference-independent and reference-dependent methods to assess viral community structures and the influence of environmental parameters on their distribution. We observed a high heterogeneity in virus signatures, independent of geographical proximity. Tailed bacteriophages were dominant in all samples, but the incidences of the affiliated families Siphoviridae and Myoviridae were inversely correlated, suggesting direct competition for hosts. Viruses of the families Phycodnaviridae and Mimiviridae were present at significant levels in high-diversity soil samples and were found to co-occur, implying little competition between them. Combinations of soil factors, including pH, calcium content, and site altitude, were found to be the main drivers of viral community structure. The pattern of viral community structure with higher levels of diversity at lower altitude and pH, and co-occurring viral families, suggests that these cold desert soil viruses interact with each other, the host, and the environment in an intricate manner, playing a potentially crucial role in maintaining host diversity and functioning of the microbial ecosystem in the extreme environments of Antarctic soil.

  3. [Sleep quality and occupational stress relationship analysis of 1413 train drivers in a railway bureau].

    Science.gov (United States)

    Gu, G Z; Yu, S F; Zhou, W H; Wu, H; Kang, L; Chen, R

    2017-07-20

    Objective: To investigate sleep quality status of train drivers. Methods: By using cluster sampling method, a cross-sectional study was conducted in 1413 train drivers (including passenger train drivers 301, freight train drivers 683, passenger shunting train drivers 350, and high speed train drivers 79) from a railway bureau. The occupational stressors, strains, personalities and sleep quality were measured using occupational stress instruments and effort-reward imbalance questionnaire. Results: The train drivers of poor sleep quality was 48.34%. Sleep quality scores among different among different job category (job title) , exercise, smoking and drinking were statistical significance ( P 0.05) . Correlation: analysis revealed that sleep quality score was related negatively to job satisfaction, reward, working stability, promotion opportunities, positive affectivity, esteem and self-esteem scores ( r : -0.454, -0.207, -0.329,-0.170, -0.291, -0.103, -0.139, P train drivers of group with high sleep quality score reported higher scores for physiological need, psychological need, effort, role conflict, conflict between groups, social support, daily stress, depressive symptoms, responsibility for person, responsibility for thing, negative affectivity and coping scores than the group of lower sleep quality score ( P train drivers.

  4. Graduated driver licensing and motor vehicle crashes involving teenage drivers: an exploratory age-stratified meta-analysis.

    Science.gov (United States)

    Zhu, Motao; Cummings, Peter; Chu, Haitao; Coben, Jeffrey H; Li, Guohua

    2013-02-01

    Graduated Driver Licensing (GDL) has been implemented in Australia, Canada, New Zealand, USA and Israel. We conducted an exploratory summary of available data to estimate whether GDL effects varied with age. We searched MEDLINE and other sources from 1991-2011. GDL evaluation studies with crashes resulting in injuries or deaths were eligible. They had to provide age-specific incidence rate ratios with CI or information for calculating these quantities. We included studies from individual states or provinces, but excluded national studies. We examined rates based on person-years, not license-years. Of 1397 papers, 144 were screened by abstract and 47 were reviewed. Twelve studies from 11 US states and one Canadian province were selected for meta-analysis for age 16, eight were selected for age 17, and four for age 18. Adjusted rate ratios were pooled using random effects models. The pooled adjusted rate ratios for the association of GDL presence with crash rates was 0.78 (95% CI 0.72 to 0.84) for age 16 years, 0.94 (95% CI 0.93 to 0.96) for 17 and 1.00 (95% CI 0.95 to 1.04) for 18. The difference between these three rate ratios was statistically significant: p<0.001. GDL policies were associated with a 22% reduction in crash rates among 16-year-old drivers, but only a 6% reduction for 17-year-old drivers. GDL showed no association with crashes among 18-year-old drivers. Because we had few studies to summarise, particularly for older adolescents, our findings should be considered exploratory.

  5. Identifying the main drivers of soil carbon response to climate change in arctic and boreal Alaska.

    Science.gov (United States)

    Genet, H.; McGuire, A. D.; He, Y.; Johnson, K.; Wylie, B. K.; Pastick, N. J.; Zhuang, Q.; Zhu, Z.

    2015-12-01

    Boreal and arctic regions represent the largest reservoir of carbon among terrestrial biomes. Most of this carbon is stored deep in the soil in permafrost where frozen organic matter is protected from decomposition. The vulnerability of soil carbon stocks to a changing climate in high latitudes depends on a number of physical and ecological processes. The importance of these processes in controlling the dynamics of soil carbon stocks vary across regions because of variability in vegetation composition, drainage condition, and permafrost characteristics. To better understand the main drivers of the vulnerability of soil carbon stocks to climate change in Alaska, we ran a process-based ecosystem model, the Terrestrial Ecosystem Model. This model explicitly simulates interactions between the carbon cycle and permafrost dynamics and was coupled with a disturbance model and a model of biogenic methane dynamics to assess historical and projected soil carbon dynamics in Alaska, from 1950 to 2100. The uncertainties related to climate, fire regime and atmospheric CO2projections on soil carbon dynamics were quantified by running simulations using climate projections from 2 global circulation models, 3 fossil fuel emission scenarios and 3 alternative fire management scenarios. During the historical period [1950-2009], soil carbon stocks increased by 4.7 TgC/yr in Alaska. Soil carbon stocks decreased in boreal Alaska due to substantial fire activity in the early 2000's. This loss was offset by carbon accumulation in the arctic. Changes in soil carbon stocks from 2010 to 2099 ranged from 8.9 to 25.6 TgC/yr, depending on the climate projections. Soil carbon accumulation was slower in lowlands than in uplands and slower in the boreal than in the arctic regions because of the negative effect of fire activity on soil carbon stocks. Tundra ecosystems were more vulnerable to carbon loss from fire than forest ecosystems because of a lower productivity. As a result, the increase in

  6. Driver Distraction in Public Transport

    OpenAIRE

    YOUNG, K; SALMON, P; REGAN MICHAEL, M

    2007-01-01

    There is converging evidence that driver distraction is a contributing factor in car crashes, in Australia and overseas. Surprisingly, no known previous research has attempted to identify and assess the potentially distracting activities undertaken by the drivers of public passenger vehicles. This paper describes research undertaken on this issue. The research was partitioned into three phases: an analysis of the functions and tasks currently undertaken by public passenger vehicle drivers; th...

  7. Human Leptospirosis Infection in Fiji: An Eco-epidemiological Approach to Identifying Risk Factors and Environmental Drivers for Transmission.

    Science.gov (United States)

    Lau, Colleen L; Watson, Conall H; Lowry, John H; David, Michael C; Craig, Scott B; Wynwood, Sarah J; Kama, Mike; Nilles, Eric J

    2016-01-01

    Leptospirosis is an important zoonotic disease in the Pacific Islands. In Fiji, two successive cyclones and severe flooding in 2012 resulted in outbreaks with 576 reported cases and 7% case-fatality. We conducted a cross-sectional seroprevalence study and used an eco-epidemiological approach to characterize risk factors and drivers for human leptospirosis infection in Fiji, and aimed to provide an evidence base for improving the effectiveness of public health mitigation and intervention strategies. Antibodies indicative of previous or recent infection were found in 19.4% of 2152 participants (81 communities on the 3 main islands). Questionnaires and geographic information systems data were used to assess variables related to demographics, individual behaviour, contact with animals, socioeconomics, living conditions, land use, and the natural environment. On multivariable logistic regression analysis, variables associated with the presence of Leptospira antibodies included male gender (OR 1.55), iTaukei ethnicity (OR 3.51), living in villages (OR 1.64), lack of treated water at home (OR 1.52), working outdoors (1.64), living in rural areas (OR 1.43), high poverty rate (OR 1.74), living district (OR 1.04 per head/sqkm), and high maximum rainfall in the wettest month (OR 1.003 per mm). Risk factors and drivers for human leptospirosis infection in Fiji are complex and multifactorial, with environmental factors playing crucial roles. With global climate change, severe weather events and flooding are expected to intensify in the South Pacific. Population growth could also lead to more intensive livestock farming; and urbanization in developing countries is often associated with urban and peri-urban slums where diseases of poverty proliferate. Climate change, flooding, population growth, urbanization, poverty and agricultural intensification are important drivers of zoonotic disease transmission; these factors may independently, or potentially synergistically, lead to

  8. Calibrating and Validating a Simulation Model to Identify Drivers of Urban Land Cover Change in the Baltimore, MD Metropolitan Region

    Directory of Open Access Journals (Sweden)

    Claire Jantz

    2014-09-01

    Full Text Available We build upon much of the accumulated knowledge of the widely used SLEUTH urban land change model and offer advances. First, we use SLEUTH’s exclusion/attraction layer to identify and test different urban land cover change drivers; second, we leverage SLEUTH’s self-modification capability to incorporate a demographic model; and third, we develop a validation procedure to quantify the influence of land cover change drivers and assess uncertainty. We found that, contrary to our a priori expectations, new development is not attracted to areas serviced by existing or planned water and sewer infrastructure. However, information about where population and employment growth is likely to occur did improve model performance. These findings point to the dominant role of centrifugal forces in post-industrial cities like Baltimore, MD. We successfully developed a demographic model that allowed us to constrain the SLEUTH model forecasts and address uncertainty related to the dynamic relationship between changes in population and employment and urban land use. Finally, we emphasize the importance of model validation. In this work the validation procedure played a key role in rigorously assessing the impacts of different exclusion/attraction layers and in assessing uncertainty related to population and employment forecasts.

  9. Dynamic analysis of policy drivers for bioenergy commodity markets

    International Nuclear Information System (INIS)

    Jeffers, Robert F.; Jacobson, Jacob J.; Searcy, Erin M.

    2013-01-01

    Biomass is increasingly being considered as a feedstock to provide a clean and renewable source of energy in the form of both liquid fuels and electric power. In the United States, the biofuels and biopower industries are regulated by different policies and have different drivers, which impact the maximum price the industries are willing to pay for biomass. This article describes a dynamic computer simulation model that analyzes future behavior of bioenergy feedstock markets given policy and technical options. The model simulates the long-term dynamics of these markets by treating advanced biomass feedstocks as a commodity and projecting the total demand of each industry, as well as the market price over time. The model is used for an analysis of the United States bioenergy feedstock market that projects supply, demand, and market price given three independent buyers: domestic biopower, domestic biofuels, and foreign exports. With base-case assumptions, the biofuels industry is able to dominate the market and meet the federal Renewable Fuel Standard (RFS) targets for advanced biofuels. Further analyses suggest that United States bioenergy studies should include estimates of export demand in their projections, and that GHG-limiting policy would partially shield both industries from export dominance. - Highlights: ► We model a United States bioenergy feedstock commodity market. ► Three buyers compete for biomass: biopower, biofuels, and foreign exports. ► The presented methodology improves on dynamic economic equilibrium theory. ► With current policy incentives and ignoring exports, biofuels dominates the market. ► Overseas biomass demand could dominate unless a CO 2 -limiting policy is enacted.

  10. Driver-centred vehicle automation: using network analysis for agent-based modelling of the driver in highly automated driving systems.

    Science.gov (United States)

    Banks, Victoria A; Stanton, Neville A

    2016-11-01

    To the average driver, the concept of automation in driving infers that they can become completely 'hands and feet free'. This is a common misconception, however, one that has been shown through the application of Network Analysis to new Cruise Assist technologies that may feature on our roads by 2020. Through the adoption of a Systems Theoretic approach, this paper introduces the concept of driver-initiated automation which reflects the role of the driver in highly automated driving systems. Using a combination of traditional task analysis and the application of quantitative network metrics, this agent-based modelling paper shows how the role of the driver remains an integral part of the driving system implicating the need for designers to ensure they are provided with the tools necessary to remain actively in-the-loop despite giving increasing opportunities to delegate their control to the automated subsystems. Practitioner Summary: This paper describes and analyses a driver-initiated command and control system of automation using representations afforded by task and social networks to understand how drivers remain actively involved in the task. A network analysis of different driver commands suggests that such a strategy does maintain the driver in the control loop.

  11. A social network analysis of alcohol-impaired drivers in Maryland : an egocentric approach.

    Science.gov (United States)

    2011-04-01

    This study examined the personal, household, and social structural attributes of alcoholimpaired : drivers in Maryland. The study used an egocentric approach of social network : analysis. This approach concentrated on specific actors (alcohol-impaire...

  12. Drivers of Sales Performance: A Contemporary Meta-Analysis

    NARCIS (Netherlands)

    W.J.M.I. Verbeke (Willem); H.M.S. Dietz (Bart); E. Verwaal (Ernst)

    2010-01-01

    textabstractIt has been twenty-five years since the publication of a comprehensive review of the full spectrum of sales-performance drivers. This study takes stock of the contemporary field and synthesizes empirical evidence from the period 1982–2008. The authors revise the classification scheme for

  13. Analysis of West Virginia's graduated driver licensing program.

    Science.gov (United States)

    2012-12-01

    Motor vehicle collisions are the leading cause of death for individuals between the ages of 15-20 years old in the United States. Top safety concerns involving teen drivers include; safety belt use, impaired driving, and distracted driving. Rules tha...

  14. An analysis of West Virginia's graduated driver licensing program.

    Science.gov (United States)

    2012-12-01

    Motor vehicle collisions are the leading cause of death for individuals between the ages of 15-20 years old in the United States. Top safety concerns involving teen drivers include; safety belt use, impaired driving, and distracted driving. Rules tha...

  15. Discriminant Analysis of the Effects of Software Cost Drivers on ...

    African Journals Online (AJOL)

    The paper work investigates the effect of software cost drivers on project schedule estimation of software development projects in Nigeria. Specifically, the paper determines the extent to which software cost variables affect our software project time schedule in our environment. Such studies are lacking in the recent ...

  16. Evaluating predictive models for solar energy growth in the US states and identifying the key drivers

    Science.gov (United States)

    Chakraborty, Joheen; Banerji, Sugata

    2018-03-01

    Driven by a desire to control climate change and reduce the dependence on fossil fuels, governments around the world are increasing the adoption of renewable energy sources. However, among the US states, we observe a wide disparity in renewable penetration. In this study, we have identified and cleaned over a dozen datasets representing solar energy penetration in each US state, and the potentially relevant socioeconomic and other factors that may be driving the growth in solar. We have applied a number of predictive modeling approaches - including machine learning and regression - on these datasets over a 17-year period and evaluated the relative performance of the models. Our goals were: (1) identify the most important factors that are driving the growth in solar, (2) choose the most effective predictive modeling technique for solar growth, and (3) develop a model for predicting next year’s solar growth using this year’s data. We obtained very promising results with random forests (about 90% efficacy) and varying degrees of success with support vector machines and regression techniques (linear, polynomial, ridge). We also identified states with solar growth slower than expected and representing a potential for stronger growth in future.

  17. Drivers of wetland conversion: a global meta-analysis.

    Directory of Open Access Journals (Sweden)

    Sanneke van Asselen

    Full Text Available Meta-analysis of case studies has become an important tool for synthesizing case study findings in land change. Meta-analyses of deforestation, urbanization, desertification and change in shifting cultivation systems have been published. This present study adds to this literature, with an analysis of the proximate causes and underlying forces of wetland conversion at a global scale using two complementary approaches of systematic review. Firstly, a meta-analysis of 105 case-study papers describing wetland conversion was performed, showing that different combinations of multiple-factor proximate causes, and underlying forces, drive wetland conversion. Agricultural development has been the main proximate cause of wetland conversion, and economic growth and population density are the most frequently identified underlying forces. Secondly, to add a more quantitative component to the study, a logistic meta-regression analysis was performed to estimate the likelihood of wetland conversion worldwide, using globally-consistent biophysical and socioeconomic location factor maps. Significant factors explaining wetland conversion, in order of importance, are market influence, total wetland area (lower conversion probability, mean annual temperature and cropland or built-up area. The regression analyses results support the outcomes of the meta-analysis of the processes of conversion mentioned in the individual case studies. In other meta-analyses of land change, similar factors (e.g., agricultural development, population growth, market/economic factors are also identified as important causes of various types of land change (e.g., deforestation, desertification. Meta-analysis helps to identify commonalities across the various local case studies and identify which variables may lead to individual cases to behave differently. The meta-regression provides maps indicating the likelihood of wetland conversion worldwide based on the location factors that have

  18. Whole-genome sequencing and comprehensive molecular profiling identify new driver mutations in gastric cancer

    NARCIS (Netherlands)

    Wang, Kai; Yuen, Siu Tsan; Xu, Jiangchun; Lee, Siu Po; Yan, Helen H N; Shi, Stephanie T; Siu, Hoi Cheong; Deng, Shibing; Chu, Kent Man; Law, Simon; Chan, Kok Hoe; Chan, Annie S Y; Tsui, Wai Yin; Ho, Siu Lun; Chan, Anthony K W; Man, Jonathan L K; Foglizzo, Valentina; Ng, Man Kin; Chan, April S; Ching, Yick Pang; Cheng, Grace H W; Xie, Tao; Fernandez, Julio; Li, Vivian S W; Clevers, Hans; Rejto, Paul A; Mao, Mao; Leung, Suet Yi

    Gastric cancer is a heterogeneous disease with diverse molecular and histological subtypes. We performed whole-genome sequencing in 100 tumor-normal pairs, along with DNA copy number, gene expression and methylation profiling, for integrative genomic analysis. We found subtype-specific genetic and

  19. Analysis of effects of manhole covers on motorcycle driver maneuvers: a nonparametric classification tree approach.

    Science.gov (United States)

    Chang, Li-Yen

    2014-01-01

    A manhole cover is a removable plate forming the lid over the opening of a manhole to allow traffic to pass over the manhole and to prevent people from falling in. Because most manhole covers are placed in roadway traffic lanes, if these manhole covers are not appropriately installed or maintained, they can represent unexpected hazards on the road, especially for motorcycle drivers. The objective of this study is to identify the effects of manhole cover characteristics as well as driver factors and traffic and roadway conditions on motorcycle driver maneuvers. A video camera was used to record motorcycle drivers' maneuvers when they encountered an inappropriately installed or maintained manhole cover. Information on 3059 drivers' maneuver decisions was recorded. Classification and regression tree (CART) models were applied to explore factors that can significantly affect motorcycle driver maneuvers when passing a manhole cover. Nearly 50 percent of the motorcycle drivers decelerated or changed their driving path to reduce the effects of the manhole cover. The manhole cover characteristics including the level difference between manhole cover and pavement, the pavement condition over the manhole cover, and the size of the manhole cover can significantly affect motorcycle driver maneuvers. Other factors, including traffic conditions, lane width, motorcycle speed, and loading conditions, also have significant effects on motorcycle driver maneuvers. To reduce the effects and potential risks from the manhole covers, highway authorities not only need to make sure that any newly installed manhole covers are as level as possible but also need to regularly maintain all the manhole covers to ensure that they are in good condition. In the long run, the size of manhole covers should be kept as small as possible so that the impact of manhole covers on motorcycle drivers can be effectively reduced. Supplemental materials are available for this article. Go to the publisher

  20. Using logit model to identify the drivers of landuse landcover change in the Lower Gangetic Basin, India

    Science.gov (United States)

    Mondal, I.; Srivastava, V. K.; Roy, P. S.; Talukdar, G.

    2014-11-01

    The Lower Gangetic Basin is one of the most highly populated areas of India, covering an area of 286,899 km2 with a population density of 720 persons per km2. 64 % of the area is covered under agriculture which is supported by the highly fertile alluvial soil. Landuse and landcover (LULC) changes due to an ever increasing human population, natural disasters induced by climate change can alter agricultural productivity which in turn can affect the food security of the region. The current study found out the change in LULC over a span of 20 years (1985-2005), and identified the factors driving this change. LULC data was generated from geo-corrected satellite data of LANDSAT-MSS, IRS LISS-I and IRS LISS-III for pre monsoon and post monsoon seasons for the years 1985-86, 1994-95 and 2004-05 respectively, using onscreen visual interpretation at 1 : 250,000 scale. We used cross-tabulation matrix to investigate landuse and landcover transformation. The most significant transformation has been to built-up category, contributed by agricultural land (515 km2) and scrubland (53 km2). The other notable transformations are from agriculture to plantation (247 km2), fallow to scrubland (838 km2) and from water body to scrubland (407 km2). We generated change no-change matrix and analyzed it using logistic regression to investigate the drivers of LULC change. We identified availability of water for irrigation, literacy, sexratio and the availability of different sources of livelihoods, as the major drivers of LULC change in the Lower Gangetic Basin.

  1. Engineering and Functional Characterization of Fusion Genes Identifies Novel Oncogenic Drivers of Cancer.

    Science.gov (United States)

    Lu, Hengyu; Villafane, Nicole; Dogruluk, Turgut; Grzeskowiak, Caitlin L; Kong, Kathleen; Tsang, Yiu Huen; Zagorodna, Oksana; Pantazi, Angeliki; Yang, Lixing; Neill, Nicholas J; Kim, Young Won; Creighton, Chad J; Verhaak, Roel G; Mills, Gordon B; Park, Peter J; Kucherlapati, Raju; Scott, Kenneth L

    2017-07-01

    Oncogenic gene fusions drive many human cancers, but tools to more quickly unravel their functional contributions are needed. Here we describe methodology permitting fusion gene construction for functional evaluation. Using this strategy, we engineered the known fusion oncogenes, BCR-ABL1, EML4-ALK , and ETV6-NTRK3, as well as 20 previously uncharacterized fusion genes identified in The Cancer Genome Atlas datasets. In addition to confirming oncogenic activity of the known fusion oncogenes engineered by our construction strategy, we validated five novel fusion genes involving MET, NTRK2 , and BRAF kinases that exhibited potent transforming activity and conferred sensitivity to FDA-approved kinase inhibitors. Our fusion construction strategy also enabled domain-function studies of BRAF fusion genes. Our results confirmed other reports that the transforming activity of BRAF fusions results from truncation-mediated loss of inhibitory domains within the N-terminus of the BRAF protein. BRAF mutations residing within this inhibitory region may provide a means for BRAF activation in cancer, therefore we leveraged the modular design of our fusion gene construction methodology to screen N-terminal domain mutations discovered in tumors that are wild-type at the BRAF mutation hotspot, V600. We identified an oncogenic mutation, F247L, whose expression robustly activated the MAPK pathway and sensitized cells to BRAF and MEK inhibitors. When applied broadly, these tools will facilitate rapid fusion gene construction for subsequent functional characterization and translation into personalized treatment strategies. Cancer Res; 77(13); 3502-12. ©2017 AACR . ©2017 American Association for Cancer Research.

  2. Process-oriented modelling to identify main drivers of erosion-induced carbon fluxes

    Science.gov (United States)

    Wilken, Florian; Sommer, Michael; Van Oost, Kristof; Bens, Oliver; Fiener, Peter

    2017-05-01

    Coupled modelling of soil erosion, carbon redistribution, and turnover has received great attention over the last decades due to large uncertainties regarding erosion-induced carbon fluxes. For a process-oriented representation of event dynamics, coupled soil-carbon erosion models have been developed. However, there are currently few models that represent tillage erosion, preferential water erosion, and transport of different carbon fractions (e.g. mineral bound carbon, carbon encapsulated by soil aggregates). We couple a process-oriented multi-class sediment transport model with a carbon turnover model (MCST-C) to identify relevant redistribution processes for carbon dynamics. The model is applied for two arable catchments (3.7 and 7.8 ha) located in the Tertiary Hills about 40 km north of Munich, Germany. Our findings indicate the following: (i) redistribution by tillage has a large effect on erosion-induced vertical carbon fluxes and has a large carbon sequestration potential; (ii) water erosion has a minor effect on vertical fluxes, but episodic soil organic carbon (SOC) delivery controls the long-term erosion-induced carbon balance; (iii) delivered sediments are highly enriched in SOC compared to the parent soil, and sediment delivery is driven by event size and catchment connectivity; and (iv) soil aggregation enhances SOC deposition due to the transformation of highly mobile carbon-rich fine primary particles into rather immobile soil aggregates.

  3. EMPIRICAL ANALYSIS OF THE ROLE OF THE FIRMS’ VALUE DRIVERS

    Directory of Open Access Journals (Sweden)

    Anita KISS

    2015-12-01

    Full Text Available This paper focuses on the value creation and the value drivers. One of the objectives of this paper is to present the concept of maximizing shareholder value. The main goal is to categorize the most important value drivers, and their role of the firms’ value. This study proceeds as follows. The first section presents the value chain, the primary and the support activities. The second part describes the theoretical background of maximizing shareholder value. The third part illustrates the key value drivers. The fourth empirical section of the study analyses the database featuring data from 18 European countries, 10 sectors and 1553 firms in the period between 2004 and 2011. Finally, the fifth section includes concluding remarks. Based on the related literature reviewed and in the conducted empirical research it can be assessed that, the EBIT, reinvestment, invested capital, the return on invested capital, the net margin and the sales growth rate all have a positive effect on firm value, while the tax rate and the market value of return on asset (MROA has a negative one.

  4. Stakeholders Perspectives on the Success Drivers in Ghana's National Health Insurance Scheme - Identifying Policy Translation Issues.

    Science.gov (United States)

    Fusheini, Adam; Marnoch, Gordon; Gray, Ann Marie

    2016-10-01

    Ghana's National Health Insurance Scheme (NHIS), established by an Act of Parliament (Act 650), in 2003 and since replaced by Act 852 of 2012 remains, in African terms, unprecedented in terms of growth and coverage. As a result, the scheme has received praise for its associated legal reforms, clinical audit mechanisms and for serving as a hub for knowledge sharing and learning within the context of South-South cooperation. The scheme continues to shape national health insurance thinking in Africa. While the success, especially in coverage and financial access has been highlighted by many authors, insufficient attention has been paid to critical and context-specific factors. This paper seeks to fill that gap. Based on an empirical qualitative case study of stakeholders' views on challenges and success factors in four mutual schemes (district offices) located in two regions of Ghana, the study uses the concept of policy translation to assess whether the Ghana scheme could provide useful lessons to other African and developing countries in their quest to implement social/NHISs. In the study, interviewees referred to both 'hard and soft' elements as driving the "success" of the Ghana scheme. The main 'hard elements' include bureaucratic and legal enforcement capacities; IT; financing; governance, administration and management; regulating membership of the scheme; and service provision and coverage capabilities. The 'soft' elements identified relate to: the background/context of the health insurance scheme; innovative ways of funding the NHIS, the hybrid nature of the Ghana scheme; political will, commitment by government, stakeholders and public cooperation; social structure of Ghana (solidarity); and ownership and participation. Other developing countries can expect to translate rather than re-assemble a national health insurance programme in an incomplete and highly modified form over a period of years, amounting to a process best conceived as germination as opposed

  5. Analysis of driver's characteristics on a curved road in a lattice model

    Science.gov (United States)

    Kaur, Ramanpreet; Sharma, Sapna

    2017-04-01

    The present paper investigates the effect of driver's behavior on the curved road via lattice hydrodynamic approach. The basic model for straight road is extended for the curved road and the characteristics of driver's behavior is incorporated in the lattice model. The extended model is investigated theoretically by the means of linear stability analysis and the effect of curved road and intensity of influence of driver's behavior on the traffic flow stability is examined. Through nonlinear stability analysis, the modified Korteweg-de Vries (MKdV) equation near the critical point is derived to describe the evolution properties of traffic density waves by applying the reductive perturbation method. Furthermore, the numerical simulation is carried out to validate the theoretical results which indicates that the curved road has a negative influence on the stability of the traffic flow. It is also seen that the traffic jam on a curved road can be suppressed efficiently via taking into account aggressive drivers.

  6. Effects of Defensive Vehicle Handling on Novice Driver Safety : Phase 3. Data Analysis and Results

    Science.gov (United States)

    2010-09-01

    This project evaluates the effectiveness of a multistage driver education program for Montanas young : drivers. A total of 347 teenaged drivers who had completed high school driver education agreed to participate. : These drivers were randomly spl...

  7. Failure Modes Analysis for the MSU-RIA Driver Linac

    CERN Document Server

    Wu, Xiaoyu; Gorelov, Dmitry; Grimm, Terry L; Marti, Felix; York, Richard

    2005-01-01

    Previous end-to-end beam dynamics simulation studies* using experimentally-based input beams including alignment and rf errors and variation in charge-stripping foil thickness have indicated that the Rare Isotope Accelerator (RIA) driver linac proposed by MSU has adequate transverse and longitudinal acceptances to accelerate light and heavy ions to final energies of at least 400 MeV/u with beam powers of 100 to 400 kW. During linac operation, equipment loss due to, for example, cavity contamination, availability of cryogens, or failure of rf or power supply systems, will lead to at least a temporary loss of some of the cavities and focusing elements. To achieve high facility availability, each segment of the linac should be capable of adequate performance even with failed elements. Beam dynamics studies were performed to evaluate the linac performance under various scenarios of failed cavities and focusing elements with proper correction schemes, in order to prove the flexibility and robustness of the driver ...

  8. Decoupling analysis and socioeconomic drivers of environmental pressure in China.

    Science.gov (United States)

    Liang, Sai; Liu, Zhu; Crawford-Brown, Douglas; Wang, Yafei; Xu, Ming

    2014-01-21

    China's unprecedented change offers a unique opportunity for uncovering relationships between economic growth and environmental pressure. Here we show the trajectories of China's environmental pressure and reveal underlying socioeconomic drivers during 1992-2010. Mining and manufacturing industries are the main contributors to increasing environmental pressure from the producer perspective. Changes in urban household consumption, fixed capital formation, and exports are the main drivers from the consumer perspective. While absolute decoupling is not realized, China has in general achieved relative decoupling between economic growth and environmental pressure. China's decoupling performance has four distinguishable periods, closely aligning with nation-wide major policy adjustments, which indicates significant impact of China's national socioeconomic policies on its environmental pressure. Material intensity change is the main contributor to the mitigation of environmental pressure, except for ammonia nitrogen, solid wastes, aquatic Cu, and aquatic Zn. Production structure change is the largest contributor to mitigate ammonia nitrogen emissions, and final demand structure change is the largest contributor to mitigate emissions of solid wastes, aquatic Cu, and aquatic Zn. We observe materialization trends for China's production structure and final demand structure during 2002-2007. Environmental sustainability can only be achieved by timely technology innovation and changes of production structure and consumption pattern.

  9. Driver behavior in car-to-pedestrian incidents: An application of the Driving Reliability and Error Analysis Method (DREAM).

    Science.gov (United States)

    Habibovic, Azra; Tivesten, Emma; Uchida, Nobuyuki; Bärgman, Jonas; Ljung Aust, Mikael

    2013-01-01

    To develop relevant road safety countermeasures, it is necessary to first obtain an in-depth understanding of how and why safety-critical situations such as incidents, near-crashes, and crashes occur. Video-recordings from naturalistic driving studies provide detailed information on events and circumstances prior to such situations that is difficult to obtain from traditional crash investigations, at least when it comes to the observable driver behavior. This study analyzed causation in 90 video-recordings of car-to-pedestrian incidents captured by onboard cameras in a naturalistic driving study in Japan. The Driving Reliability and Error Analysis Method (DREAM) was modified and used to identify contributing factors and causation patterns in these incidents. Two main causation patterns were found. In intersections, drivers failed to recognize the presence of the conflict pedestrian due to visual obstructions and/or because their attention was allocated towards something other than the conflict pedestrian. In incidents away from intersections, this pattern reoccurred along with another pattern showing that pedestrians often behaved in unexpected ways. These patterns indicate that an interactive advanced driver assistance system (ADAS) able to redirect the driver's attention could have averted many of the intersection incidents, while autonomous systems may be needed away from intersections. Cooperative ADAS may be needed to address issues raised by visual obstructions. Copyright © 2012 Elsevier Ltd. All rights reserved.

  10. The buzz about bees and poverty alleviation: Identifying drivers and barriers of beekeeping in sub-Saharan Africa.

    Science.gov (United States)

    Amulen, Deborah Ruth; D'Haese, Marijke; Ahikiriza, Elizabeth; Agea, Jacob Godfrey; Jacobs, Frans J; de Graaf, Dirk C; Smagghe, Guy; Cross, Paul

    2017-01-01

    The potential of beekeeping to mitigate the exposure of rural sub-Sahara African farmers to economic stochasticity has been widely promoted by an array of development agencies. Robust outcome indicators of the success of beekeeping to improve household well-being are unfortunately lacking. This study aimed to identify the key drivers and barriers of beekeeping adoption at the household level, and quantified the associated income contribution in three agro-ecological zones in Uganda. Beekeepers were generally the most economically disadvantaged people in the study areas and tended to adopt beekeeping following contact with non-government organisations and access to training. Whilst incomes were not statistically lower than their non-beekeeping counterparts; their mean household well-being scores were significantly lower than non-beekeeping households. The inability of beekeeping to significantly improve well-being status can in part be attributed to a lack of both training in bee husbandry and protective equipment provision such as suits, gloves and smokers. These are critical tools for beekeepers as they provide the necessary confidence to manage honey bees. Rather than focussing solely on the socio-economic conditions of farmers to effectively adopt beekeeping, future research should also attempt to evaluate the effectiveness of development agencies' provision to the beekeeping sector.

  11. Non-linear analysis for the sleepy drivers problem.

    Science.gov (United States)

    Chouvarda, Ioanna; Papadelis, Christos; Kourtidou-Papadeli, Chrysoula; Bamidis, Panagiotis D; Koufogiannis, Dimitris; Bekiaris, Evaggelos; Maglaveras, Nikos

    2007-01-01

    The problem addressed in this work is sleepiness during driving, which often leads to accidents in the streets. Experiments with sleepy drivers took place and the EEG data were analysed in terms of non-linear methods. Sample entropy and phase synchronization variations were investigated within the signal sections corresponding to "driving events", i.e. driving mistakes or loss of control, as well as to periods of drowsiness and sleepiness, as compared to the periods of normal driving. Decreased sample entropy, indicating loss of complexity, and an increased phase synchronisation have been found in the preliminary study presented. The results are encouraging towards developing an alerting system for predicting and preventing driving accidents.

  12. Long-term changes in CO{sub 2} emissions in Austria and Czechoslovakia Identifying the drivers of environmental pressures

    Energy Technology Data Exchange (ETDEWEB)

    Simone Gingrich; Petra Kuskova; Julia K. Steinberger [University of Klagenfurt, Wien (Austria). Institute of Social Ecology

    2011-02-15

    This study presents fossil-fuel related CO{sub 2} emissions in Austria and Czechoslovakia (current Czech Republic and Slovakia) for 1830-2000. The drivers of CO{sub 2} emissions are discussed by investigating the variables of the standard Kaya identity for 1920-2000 and conducting a comparative Index Decomposition Analysis. Proxy data on industrial production and household consumption are analysed to understand the role of the economic structure. CO{sub 2} emissions increased in both countries in the long run. Czechoslovakia was a stronger emitter of CO{sub 2} throughout the time period, but per-capita emissions significantly differed only after World War I, when Czechoslovakia and Austria became independent. The difference in CO{sub 2} emissions increased until the mid-1980s (the period of communism in Czechoslovakia), explained by the energy intensity and the composition effects, and higher industrial production in Czechoslovakia. Counterbalancing factors were the income effect and household consumption. After the Velvet revolution in 1990, Czechoslovak CO{sub 2} emissions decreased, and the energy composition effect (and industrial production) lost importance. Despite their different political and economic development, Austria and Czechoslovakia reached similar levels of per-capita CO{sub 2} emissions in the late 20th century. Neither Austrian 'eco-efficiency' nor Czechoslovak restructuring have been effective in reducing CO{sub 2} emissions to a sustainable level. 43 refs., 5 figs., 1 tab.

  13. Long-term changes in CO{sub 2} emissions in Austria and Czechoslovakia. Identifying the drivers of environmental pressures

    Energy Technology Data Exchange (ETDEWEB)

    Gingrich, Simone; Steinberger, Julia K. [Institute of Social Ecology, Faculty for Interdisciplinary Studies Vienna, University of Klagenfurt, Schottenfeldgasse 29/5, 1070 Wien (Austria); Kuskova, Petra [Department of Social Geography and Regional Development, Charles University in Prague (Czech Republic)

    2011-02-15

    This study presents fossil-fuel related CO{sub 2} emissions in Austria and Czechoslovakia (current Czech Republic and Slovakia) for 1830-2000. The drivers of CO{sub 2} emissions are discussed by investigating the variables of the standard Kaya identity for 1920-2000 and conducting a comparative Index Decomposition Analysis. Proxy data on industrial production and household consumption are analysed to understand the role of the economic structure. CO{sub 2} emissions increased in both countries in the long run. Czechoslovakia was a stronger emitter of CO{sub 2} throughout the time period, but per-capita emissions significantly differed only after World War I, when Czechoslovakia and Austria became independent. The difference in CO{sub 2} emissions increased until the mid-1980s (the period of communism in Czechoslovakia), explained by the energy intensity and the composition effects, and higher industrial production in Czechoslovakia. Counterbalancing factors were the income effect and household consumption. After the Velvet revolution in 1990, Czechoslovak CO{sub 2} emissions decreased, and the energy composition effect (and industrial production) lost importance. Despite their different political and economic development, Austria and Czechoslovakia reached similar levels of per-capita CO{sub 2} emissions in the late 20th century. Neither Austrian 'eco-efficiency' nor Czechoslovak restructuring have been effective in reducing CO{sub 2} emissions to a sustainable level. (author)

  14. Long-term changes in CO2 emissions in Austria and Czechoslovakia—Identifying the drivers of environmental pressures

    Science.gov (United States)

    Gingrich, Simone; Kušková, Petra; Steinberger, Julia K.

    2011-01-01

    This study presents fossil-fuel related CO2 emissions in Austria and Czechoslovakia (current Czech Republic and Slovakia) for 1830–2000. The drivers of CO2 emissions are discussed by investigating the variables of the standard Kaya identity for 1920–2000 and conducting a comparative Index Decomposition Analysis. Proxy data on industrial production and household consumption are analysed to understand the role of the economic structure. CO2 emissions increased in both countries in the long run. Czechoslovakia was a stronger emitter of CO2 throughout the time period, but per-capita emissions significantly differed only after World War I, when Czechoslovakia and Austria became independent. The difference in CO2 emissions increased until the mid-1980s (the period of communism in Czechoslovakia), explained by the energy intensity and the composition effects, and higher industrial production in Czechoslovakia. Counterbalancing factors were the income effect and household consumption. After the Velvet revolution in 1990, Czechoslovak CO2 emissions decreased, and the energy composition effect (and industrial production) lost importance. Despite their different political and economic development, Austria and Czechoslovakia reached similar levels of per-capita CO2 emissions in the late 20th century. Neither Austrian “eco-efficiency” nor Czechoslovak restructuring have been effective in reducing CO2 emissions to a sustainable level. PMID:21461052

  15. A Methodology for Loading the Advanced Test Reactor Driver Core for Experiment Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Cowherd, Wilson M.; Nielsen, Joseph W.; Choe, Dong O.

    2016-11-01

    In support of experiments in the ATR, a new methodology was devised for loading the ATR Driver Core. This methodology will replace the existing methodology used by the INL Neutronic Analysis group to analyze experiments. Studied in this paper was the as-run analysis for ATR Cycle 152B, specifically comparing measured lobe powers and eigenvalue calculations.

  16. Stress and strain of short haul bus drivers: psychophysiology as a design oriented method for analysis.

    Science.gov (United States)

    Göbel, M; Springer, J; Scherff, J

    1998-05-01

    Psychophysiological measures offer objective information for workplace design according to user requirements. They are, however, rarely applied in industrial practice due to weak points from the designer's point of view, such as the differentiation of various superimposed stressors, inter-individual differences, and the effort required for data acquisition and handling. In this study a set of psychophysiological methods was used to analyse bus driver workplaces as a basis for redesign, and afterwards to evaluate design improvements. During inner-city operation bus drivers are exposed to a particular workload situation, especially due to the high density of traffic and bus stops. Their job is characterized by highly frequent and often simultaneous task execution, performed with a compulsory body posture and under exposure to vibration and noise. To reduce the workload related to the equipment and tasks of bus driving, a research project was initiated to design a new driver workplace that meets the specific ergonomic requirements of the drivers. A detailed workload analysis, consisting of a task analysis, a strain analysis derived from ECG measures and an eye movement analysis was performed during public bus driving in different cities and with different drivers and bus types. Although the results have to be considered as somewhat limited owing to the methodological restraints and conditions of a field study, they provided valuable guidance for design. A new concept for the driver cabin was created based on this database. After installation, this design was evaluated by similar psychophysiological measures. Comparison of the pre- and post results indicates that the redesigned work station reduced workload levels.

  17. Revisiting drivers of energy intensity in China during 1997–2007: A structural decomposition analysis

    International Nuclear Information System (INIS)

    Zeng, Lin; Xu, Ming; Liang, Sai; Zeng, Siyu; Zhang, Tianzhu

    2014-01-01

    The decline of China's energy intensity slowed since 2000. During 2002–2005 it actually increased, reversing the long-term trend. Therefore, it is important to identify drivers of the fluctuation of energy intensity. We use input–output structural decomposition analysis to investigate the contributions of changes in energy mix, sectoral energy efficiency, production structure, final demand structure, and final demand category composition to China's energy intensity fluctuation during 1997–2007. We include household energy consumption in the study by closing the input–output model with respect to households. Results show that sectoral energy efficiency improvements contribute the most to the energy intensity decline during 1997–2007. The increase in China's energy intensity during 2002–2007 is instead explained by changes in final demand composition and production structure. Changes in final demand composition are mainly due to increasing share of exports, while changes in production structure mainly arise from the shift of Chinese economy to more energy-intensive industries. Changes in energy mix and final demand structure contribute little to China's energy intensity fluctuation. From the consumption perspective, growing exports of energy-intensive products and increasing infrastructure demands explain the majority of energy intensity increase during 2002–2007. - Highlights: • We analyzed energy intensity change from production and consumption perspectives. • We extended the research scope of energy intensity to cover household consumption. • Sectoral energy efficiency improvement contributed most to energy intensity decline. • Impact of production structure change on energy intensity varied at different times. • Growing export demand newly became main driver of China's energy intensity increase

  18. Determinants and Drivers of Infectious Disease Threat Events in Europe.

    Science.gov (United States)

    Semenza, Jan C; Lindgren, Elisabet; Balkanyi, Laszlo; Espinosa, Laura; Almqvist, My S; Penttinen, Pasi; Rocklöv, Joacim

    2016-04-01

    Infectious disease threat events (IDTEs) are increasing in frequency worldwide. We analyzed underlying drivers of 116 IDTEs detected in Europe during 2008-2013 by epidemic intelligence at the European Centre of Disease Prevention and Control. Seventeen drivers were identified and categorized into 3 groups: globalization and environment, sociodemographic, and public health systems. A combination of >2 drivers was responsible for most IDTEs. The driver category globalization and environment contributed to 61% of individual IDTEs, and the top 5 individual drivers of all IDTEs were travel and tourism, food and water quality, natural environment, global trade, and climate. Hierarchical cluster analysis of all drivers identified travel and tourism as a distinctly separate driver. Monitoring and modeling such disease drivers can help anticipate future IDTEs and strengthen control measures. More important, intervening directly on these underlying drivers can diminish the likelihood of the occurrence of an IDTE and reduce the associated human and economic costs.

  19. Identifying sources, pathways and risk drivers in ecosystems of Japanese Encephalitis in an epidemic-prone north Indian district.

    Directory of Open Access Journals (Sweden)

    Manish Kakkar

    Full Text Available Japanese Encephalitis (JE has caused repeated outbreaks in endemic pockets of India. This study was conducted in Kushinagar, a highly endemic district, to understand the human-animal-ecosystem interactions, and the drivers that influence disease transmission. Utilizing the ecosystems approach, a cross-sectional, descriptive study, employing mixed methods design was employed. Four villages (two with pig-rearing and two without were randomly selected from a high, a medium and a low burden (based on case counts block of Kushinagar. Children, pigs and vectors were sampled from these villages. A qualitative arm was incorporated to explain the findings from the quantitative surveys. All human serum samples were screened for JE-specific IgM using MAC ELISA and negative samples for JE RNA by rRT-PCR in peripheral blood mononuclear cells. In pigs, IgG ELISA and rRT-PCR for viral RNA were used. Of the 242 children tested, 24 tested positive by either rRT-PCR or MAC ELISA; in pigs, 38 out of the 51 pigs were positive. Of the known vectors, Culex vishnui was most commonly isolated across all biotopes. Analysis of 15 blood meals revealed human blood in 10 samples. Univariable analysis showed that gender, religion, lack of indoor residual spraying of insecticides in the past year, indoor vector density (all species, and not being vaccinated against JE in children were significantly associated with JE positivity. In multivariate analysis, only male gender remained as a significant risk factor. Based on previous estimates of symptomatic: asymptomatic cases of JE, we estimate that there should have been 618 cases from Kushinagar, although only 139 were reported. Vaccination of children and vector control measures emerged as major control activities; they had very poor coverage in the studied villages. In addition, lack of awareness about the cause of JE, lack of faith in the conventional medical healthcare system and multiple referral levels causing delay in

  20. Open-eye detection using iris–sclera pattern analysis for driver ...

    Indian Academy of Sciences (India)

    Arun D Panicker

    2017-10-06

    Oct 6, 2017 ... detected using the proposed iris–sclera pattern analysis method. In the third stage, the drowsiness state of the driver is determined using PERcentage of eye CLOSure (PERCLOS) measure. The entire system is designed to be independent of any specific data sets for face or eye detection. The proposed ...

  1. Open-eye detection using iris–sclera pattern analysis for driver ...

    Indian Academy of Sciences (India)

    This paper proposes a novel approach for open-eye detection that can be used in driver drowsiness analysis based on computer vision techniques. The proposed method captures the ... D PANICKER MADHU S NAIR1. Department of Computer Science, University of Kerala, Kariavattom, Thiruvananthapuram 695581, India ...

  2. The development of a method to measure speed adaptation to traffic complexity: Identifying novice, unsafe, and overconfident drivers.

    NARCIS (Netherlands)

    Craen, S. de Twisk, D.A.M. Hagenzieker, M.P. Elffers, H. & Brookhuis, K.A.

    2008-01-01

    To monitor novice driver performance in the first years of solo driving, a test aimed at assessing speed adaptation to the traffic situation was developed and evaluated. The Adaptation Test consisted of 18 traffic scenes presented in two (almost) identical photographs, which differed in one single

  3. The development of a method to measure speed adaptation to traffic complexity : Identifying novice, unsafe, and overconfident drivers

    NARCIS (Netherlands)

    de Craen, Saskia; Twisk, Divera A. M.; Hagenzieker, Marjan P.; Elffers, Henk; Brookhuis, Karel A.

    To monitor novice driver performance in the first years of solo driving, a test aimed at assessing speed adaptation to the traffic situation was developed and evaluated. The Adaptation Test consisted of 18 traffic scenes presented in two (almost) identical photographs, which differed in one single

  4. An analysis of health promotion materials for Dutch truck drivers: Off target and too complex?

    Science.gov (United States)

    Boeijinga, Anniek; Hoeken, Hans; Sanders, José

    2017-01-01

    Despite various health promotion initiatives, unfavorable figures regarding Dutch truck drivers' eating behaviors, exercise behaviors, and absenteeism have not improved. The aim was to obtain a better understanding of the low level of effectiveness of current health interventions for Dutch truck drivers by examining to what extent these are tailored to the target group's particular mindset (focus of content) and health literacy skills (presentation of content). The article analyzes 21 health promotion materials for Dutch truck drivers using a two-step approach: (a) an analysis of the materials' focus, guided by the Health Action Process Approach; and (b) an argumentation analysis, guided by pragma-dialectics. The corpus analysis revealed: (a) a predominant focus on the motivation phase; and (b) in line with the aim of motivating the target group, a consistent use of pragmatic arguments, which were typically presented in an implicit way. The results indicate that existing health promotion materials for Dutch truck drivers are not sufficiently tailored to the target group's mindset and health literacy skills. Recommendations are offered to develop more tailored/effective health interventions targeting this high-risk, underserved occupational group.

  5. Drivers of Wetland Conversion: a Global Meta-Analysis

    NARCIS (Netherlands)

    van Asselen, S.; Verburg, P.H.; Vermaat, J.E.; Janse, J.

    2013-01-01

    Meta-analysis of case studies has become an important tool for synthesizing case study findings in land change. Meta-analyses of deforestation, urbanization, desertification and change in shifting cultivation systems have been published. This present study adds to this literature, with an analysis

  6. Drivers and Outcomes of Scenario Planning: A Canonical Correlation Analysis

    Science.gov (United States)

    Chermack, Thomas J.; Nimon, Kim

    2013-01-01

    Purpose: The paper's aim is to report a research study on the mediator and outcome variable sets in scenario planning. Design/methodology/approach: This is a cannonical correlation analysis (CCA) Findings Two sets of variables; one as a predictor set that explained a significant amount of variability in the second, or outcome set of variables were…

  7. Analysis of Driver Evasive Maneuvering Prior to Intersection Crashes Using Event Data Recorders.

    Science.gov (United States)

    Scanlon, John M; Kusano, Kristofer D; Gabler, Hampton C

    2015-01-01

    Intersection crashes account for over 4,500 fatalities in the United States each year. Intersection Advanced Driver Assistance Systems (I-ADAS) are emerging vehicle-based active safety systems that have the potential to help drivers safely navigate across intersections and prevent intersection crashes and injuries. The performance of an I-ADAS is expected to be highly dependent upon driver evasive maneuvering prior to an intersection crash. Little has been published, however, on the detailed evasive kinematics followed by drivers prior to real-world intersection crashes. The objective of this study was to characterize the frequency, timing, and kinematics of driver evasive maneuvers prior to intersection crashes. Event data recorders (EDRs) downloaded from vehicles involved in intersection crashes were investigated as part of NASS-CDS years 2001 to 2013. A total of 135 EDRs with precrash vehicle speed and braking application were downloaded to investigate evasive braking. A smaller subset of 59 EDRs that collected vehicle yaw rate was additionally analyzed to investigate evasive steering. Each vehicle was assigned to one of 3 precrash movement classifiers (traveling through the intersection, completely stopped, or rolling stop) based on the vehicle's calculated acceleration and observed velocity profile. To ensure that any significant steering input observed was an attempted evasive maneuver, the analysis excluded vehicles at intersections that were turning, driving on a curved road, or performing a lane change. Braking application at the last EDR-recorded time point was assumed to indicate evasive braking. A vehicle yaw rate greater than 4° per second was assumed to indicate an evasive steering maneuver. Drivers executed crash avoidance maneuvers in four-fifths of intersection crashes. A more detailed analysis of evasive braking frequency by precrash maneuver revealed that drivers performing complete or rolling stops (61.3%) braked less often than drivers

  8. Systems biology analysis of drivers underlying hallmarks of cancer cell metabolism

    Science.gov (United States)

    Zielinski, Daniel C.; Jamshidi, Neema; Corbett, Austin J.; Bordbar, Aarash; Thomas, Alex; Palsson, Bernhard O.

    2017-01-01

    Malignant transformation is often accompanied by significant metabolic changes. To identify drivers underlying these changes, we calculated metabolic flux states for the NCI60 cell line collection and correlated the variance between metabolic states of these lines with their other properties. The analysis revealed a remarkably consistent structure underlying high flux metabolism. The three primary uptake pathways, glucose, glutamine and serine, are each characterized by three features: (1) metabolite uptake sufficient for the stoichiometric requirement to sustain observed growth, (2) overflow metabolism, which scales with excess nutrient uptake over the basal growth requirement, and (3) redox production, which also scales with nutrient uptake but greatly exceeds the requirement for growth. We discovered that resistance to chemotherapeutic drugs in these lines broadly correlates with the amount of glucose uptake. These results support an interpretation of the Warburg effect and glutamine addiction as features of a growth state that provides resistance to metabolic stress through excess redox and energy production. Furthermore, overflow metabolism observed may indicate that mitochondrial catabolic capacity is a key constraint setting an upper limit on the rate of cofactor production possible. These results provide a greater context within which the metabolic alterations in cancer can be understood.

  9. Low back pain in drivers exposed to whole body vibration: analysis of a dose-response pattern

    NARCIS (Netherlands)

    Tiemessen, I. J. H.; Hulshof, C. T. J.; Frings-Dresen, M. H. W.

    2008-01-01

    Analysis of a dose-response pattern between exposure to whole body vibration (WBV) and low back pain (LBP) in a group of drivers. This study assessed individual factors, work-related risk factors, various LBP outcome measures and LBP disability in a group of drivers (n = 571) approached at baseline

  10. Driver Anger Scale (DAS Among Car Drivers: How Serious Are They?

    Directory of Open Access Journals (Sweden)

    Ambak Kamarudin

    2017-01-01

    Full Text Available Nowadays, anger while driving on the road is a crucial issue in Malaysia. The anger of driver may lead to traffic crashes. Road accident issue is an important agenda in every country. Driver behaviour and attitude such as impatience, hasty and hot-tempered on the road has become one of the causes in road accidents. Uncontrolled anger will affect the behavior of oneself during driving and could cause an individual to display aggressive attitude. Therefore, this study is aimed to identify contributing factor in anger of drivers and evaluate the Driver Anger Scale (DAS in Batu Pahat, Johor. In addition, this study also analyzes the relationship between driver anger and the factor of DAS. Cross sectional study method was conducted in this study by distributing 250 questionnaires to car drivers. The data collectied was analyzed by descriptive, chi-square test, correlation and regression analysis using Statistical Package for Social Sciences (SPSS version 20.0. The findings show that the discourtesy was reported as the most dominant factor contributing to driver anger. As a recommendation, to overcome driver anger issue, the authorities should prepare an action plan, promote and nurture public to practice good driving behaviour. Moreover, curriculum and driver training lesson should be improved to create better attitude among drivers. Drivers also should change their driving attitude by becoming safe drivers and exhibiting defensive driving skills on the road.

  11. Whole Exome Sequencing Identifies TSC1/TSC2 Biallelic Loss as the Primary and Sufficient Driver Event for Renal Angiomyolipoma Development.

    Science.gov (United States)

    Giannikou, Krinio; Malinowska, Izabela A; Pugh, Trevor J; Yan, Rachel; Tseng, Yuen-Yi; Oh, Coyin; Kim, Jaegil; Tyburczy, Magdalena E; Chekaluk, Yvonne; Liu, Yang; Alesi, Nicola; Finlay, Geraldine A; Wu, Chin-Lee; Signoretti, Sabina; Meyerson, Matthew; Getz, Gad; Boehm, Jesse S; Henske, Elizabeth P; Kwiatkowski, David J

    2016-08-01

    Renal angiomyolipoma is a kidney tumor in the perivascular epithelioid (PEComa) family that is common in patients with Tuberous Sclerosis Complex (TSC) and Lymphangioleiomyomatosis (LAM) but occurs rarely sporadically. Though histologically benign, renal angiomyolipoma can cause life-threatening hemorrhage and kidney failure. Both angiomyolipoma and LAM have mutations in TSC2 or TSC1. However, the frequency and contribution of other somatic events in tumor development is unknown. We performed whole exome sequencing in 32 resected tumor samples (n = 30 angiomyolipoma, n = 2 LAM) from 15 subjects, including three with TSC. Two germline and 22 somatic inactivating mutations in TSC2 were identified, and one germline TSC1 mutation. Twenty of 32 (62%) samples showed copy neutral LOH (CN-LOH) in TSC2 or TSC1 with at least 8 different LOH regions, and 30 of 32 (94%) had biallelic loss of either TSC2 or TSC1. Whole exome sequencing identified a median of 4 somatic non-synonymous coding region mutations (other than in TSC2/TSC1), a mutation rate lower than nearly all other cancer types. Three genes with mutations were known cancer associated genes (BAP1, ARHGAP35 and SPEN), but they were mutated in a single sample each, and were missense variants with uncertain functional effects. Analysis of sixteen angiomyolipomas from a TSC subject showed both second hit point mutations and CN-LOH in TSC2, many of which were distinct, indicating that they were of independent clonal origin. However, three tumors had two shared mutations in addition to private somatic mutations, suggesting a branching evolutionary pattern of tumor development following initiating loss of TSC2. Our results indicate that TSC2 and less commonly TSC1 alterations are the primary essential driver event in angiomyolipoma/LAM, whereas other somatic mutations are rare and likely do not contribute to tumor development.

  12. Healthcare Programmes for Truck Drivers in Sub-Saharan Africa: A Systematic Review and Meta-Analysis.

    Science.gov (United States)

    Lalla-Edward, Samanta Tresha; Fobosi, Siyabulela Christopher; Hankins, Catherine; Case, Kelsey; Venter, W D Francois; Gomez, Gabriela

    2016-01-01

    Truck drivers have unique health needs, and by virtue of their continuous travel, experience difficulty in accessing healthcare. Currently, planning for effective care is hindered by lack of knowledge about their health needs and about the impact of on-going programmes on this population's health outcomes. We reviewed healthcare programmes implemented for sub-Saharan African truck drivers, assessed the evaluation methods, and examined impact on health outcomes. We searched scientific and institutional databases, and online search engines to include all publications describing a healthcare programme in sub-Saharan Africa where the main clients were truck drivers. We consulted experts and organisations working with mobile populations to identify unpublished reports. Forest plots of impact and outcome indicators with unadjusted risk ratios and 95% confidence intervals were created to map the impact of these programmes. We performed a subgroup analysis by type of indicator using a random-effects model to assess between-study heterogeneity. We conducted a sensitivity analysis to examine both the summary effect estimate chosen (risk difference vs. risk ratio) and model to summarise results (fixed vs. random effects). Thirty-seven publications describing 22 healthcare programmes across 30 countries were included from 5,599 unique records. All programmes had an HIV-prevention focus with only three expanding their services to cover conditions other primary healthcare services. Twelve programmes were evaluated and most evaluations assessed changes in input, output, and outcome indicators. Absence of comparison groups, preventing attribution of the effect observed to the programme and lack of biologically confirmed outcomes were the main limitations. Four programmes estimated a quantitative change in HIV prevalence or reported STI incidence, with mixed results, and one provided anecdotal evidence of changes in AIDS-related mortality and social norms. Most programmes showed

  13. Main drivers of health expenditure growth in China: a decomposition analysis.

    Science.gov (United States)

    Zhai, Tiemin; Goss, John; Li, Jinjing

    2017-03-09

    In past two decades, health expenditure in China grew at a rate of 11.6% per year, which is much faster than the growth of the country's economy (9.9% per year). As cost containment is a key aspect of China's new health system reform agenda, this study aims to identify the main drivers of past growth so that cost containment policies are focussed in the right areas. The analysis covered the period 1993-2012. To understand the drivers of past growth during this period, Das Gupta's decomposition method was used to decompose the changes in health expenditure by disease into five main components that include population growth, population ageing, disease prevalence rate, expenditure per case of disease, and excess health price inflation. Demographic data on population size and age-composition were obtained from the Department of Economic and Social Affairs of the United Nations. Age- and disease- specific expenditure and prevalence rates by age and disease were extracted from China's National Health Accounts studies and Global Burden of Disease 2013 studies of the Institute for Health Metrics and Evaluation, respectively. Growth in health expenditure in China was mainly driven by a rapid increase in real expenditure per prevalent case, which contributed 8.4 percentage points of the 11.6% annual average growth. Excess health price inflation and population growth contributed 1.3 and 1.3% respectively. The effect of population ageing was relatively small, contributing 0.8% per year. However, reductions in disease prevalence rates reduced the growth rate by 0.3 percentage points. Future policy in optimising growth in health expenditure in China should address growth in expenditure per prevalent case. This is especially so for neoplasms, and for circulatory and respiratory disease. And a focus on effective interventions to reduce the prevalence of disease in the country will ensure that changing disease rates do not lead to a higher growth in future health expenditure

  14. [AIDS/HIV prevention and control among long-distance drivers in China: a Meta analysis].

    Science.gov (United States)

    Zhang, Yan; Luan, Rong-sheng; Li, Jia-yuan; Liu, Qi-yong; Wang, Ling

    2010-06-01

    To assess the efficacy of HIV/AIDS prevention and control among long-distance drivers in China. Based on the principles and methods of Cochrane systematic reviews, we searched literature from CBM (from 1978 to 2009), VIP (1989 to 2009) CNKI (1980 to 2009), and MEDLINE (1950 to 2009) and also assessed the risk of bias of the included before-after studies according to Newcastle-Ottawa scale and their characteristics. Cochrane Collaboration's software RevMan 5.0 was used for Meta-analysis. 13 studies were included, with most of them were of low quality as having high risk of bias. (1) Knowledge index 1: We included 7 'pre-post' studies. Meta-analysis showed that AIDS/HIV prevention and control was effective in promoting the knowledge index 1 among long-distance drivers (RD = 0.15, 95%CI: 0.04 - 0.26). (2) Knowledge index 2: We included 10 pre-post studies, in which the results from Meta-analysis showed that AIDS/HIV prevention and control was effective in promoting the knowledge index 2 among long-distance drivers (RD = 0.24, 95%CI: 0.17 - 0.30). (3) Behavior index: We included 6 pre-post studies in which the results from Meta-analysis showed that AIDS/HIV prevention and control was effective in promoting the behavior index among long-distance drivers (RD = 0.15, 95%CI: 0.10 - 0.19). Current evidence demonstrated that HIV/AIDS prevention and control programs were effective.

  15. Can Link Analysis Be Applied to Identify Behavioral Patterns in Train Recorder Data?

    Science.gov (United States)

    Strathie, Ailsa; Walker, Guy H

    2016-03-01

    A proof-of-concept analysis was conducted to establish whether link analysis could be applied to data from on-train recorders to detect patterns of behavior that could act as leading indicators of potential safety issues. On-train data recorders capture data about driving behavior on thousands of routine journeys every day and offer a source of untapped data that could be used to offer insights into human behavior. Data from 17 journeys undertaken by six drivers on the same route over a 16-hr period were analyzed using link analysis, and four key metrics were examined: number of links, network density, diameter, and sociometric status. The results established that link analysis can be usefully applied to data captured from on-vehicle recorders. The four metrics revealed key differences in normal driver behavior. These differences have promising construct validity as leading indicators. Link analysis is one method that could be usefully applied to exploit data routinely gathered by on-vehicle data recorders. It facilitates a proactive approach to safety based on leading indicators, offers a clearer understanding of what constitutes normal driving behavior, and identifies trends at the interface of people and systems, which is currently a key area of strategic risk. These research findings have direct applications in the field of transport data monitoring. They offer a means of automatically detecting patterns in driver behavior that could act as leading indicators of problems during operation and that could be used in the proactive monitoring of driver competence, risk management, and even infrastructure design. © 2015, Human Factors and Ergonomics Society.

  16. A Meta-Analysis of Retinoblastoma Copy Numbers Refines the List of Possible Driver Genes Involved in Tumor Progression

    Science.gov (United States)

    Kooi, Irsan E.; Mol, Berber M.; Massink, Maarten P. G.; de Jong, Marcus C.; de Graaf, Pim; van der Valk, Paul; Meijers-Heijboer, Hanne; Kaspers, Gertjan J. L.; Moll, Annette C.; te Riele, Hein; Cloos, Jacqueline; Dorsman, Josephine C.

    2016-01-01

    Background While RB1 loss initiates retinoblastoma development, additional somatic copy number alterations (SCNAs) can drive tumor progression. Although SCNAs have been identified with good concordance between studies at a cytoband resolution, accurate identification of single genes for all recurrent SCNAs is still challenging. This study presents a comprehensive meta-analysis of genome-wide SCNAs integrated with gene expression profiling data, narrowing down the list of plausible retinoblastoma driver genes. Methods We performed SCNA profiling of 45 primary retinoblastoma samples and eight retinoblastoma cell lines by high-resolution microarrays. We combined our data with genomic, clinical and histopathological data of ten published genome-wide SCNA studies, which strongly enhanced the power of our analyses (N = 310). Results Comprehensive recurrence analysis of SCNAs in all studies integrated with gene expression data allowed us to reduce candidate gene lists for 1q, 2p, 6p, 7q and 13q to a limited gene set. Besides the well-established driver genes RB1 (13q-loss) and MYCN (2p-gain) we identified CRB1 and NEK7 (1q-gain), SOX4 (6p-gain) and NUP205 (7q-gain) as novel retinoblastoma driver candidates. Depending on the sample subset and algorithms used, alternative candidates were identified including MIR181 (1q-gain) and DEK (6p gain). Remarkably, our study showed that copy number gains rarely exceeded change of one copy, even in pure tumor samples with 100% homozygosity at the RB1 locus (N = 34), which is indicative for intra-tumor heterogeneity. In addition, profound between-tumor variability was observed that was associated with age at diagnosis and differentiation grades. Interpretation Since focal alterations at commonly altered chromosome regions were rare except for 2p24.3 (MYCN), further functional validation of the oncogenic potential of the described candidate genes is now required. For further investigations, our study provides a refined and revised set

  17. The Global Drivers of Photosynthesis and Light Use Efficiency Seasonality: A Granger Frequency Causality Analysis

    Science.gov (United States)

    Nemani, Ramakrishna R.

    2016-01-01

    Photosynthesis and light use efficiency (LUE) are major factors in the evolution of the continental carbon cycle due to their contribution to gross primary production (GPP). However, while the drivers of photosynthesis and LUE on a plant or canopy scale can often be identified, significant uncertainties exist when modeling these on a global scale. This is due to sparse observations in regions such as the tropics and the lack of a direct global observation dataset. Although others have attempted to address this issue using correlations (Beer, 2010) or calculating GPP from vegetation indices (Running, 2004), in this study we take a new approach. We combine the statistical method of Granger frequency causality and partial Granger frequency causality with remote sensing data products (including sun-induced fluorescence used as a proxy for GPP) to determine the main environmental drivers of GPP across the globe.

  18. Identifiable Data Files - Medicare Provider Analysis and ...

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Medicare Provider Analysis and Review (MEDPAR) File contains data from claims for services provided to beneficiaries admitted to Medicare certified inpatient...

  19. Misinterpretation of the strategic significance of cost driver analysis: evidence from management accounting theory and practice

    Directory of Open Access Journals (Sweden)

    Henry T Palowski

    2011-06-01

    Full Text Available This paper traces the development of cost driver theory in the Strategy literature and reflects on misinterpretations of the strategic significance of the theory in related academic disciplines, notably Management Accounting. Management Accounting has largely been responsible for informing costing practice in a wide range of organizational settings. The paper considers one such application- i.e. the case of the Higher Education Funding Council’s (HEFC costing and pricing initiative for UK universities. The project was completed just under five years ago, although details of implementation are still ongoing, to a degree. The systems in place incorporate most of the theoretical flaws outlined in this paper. Rather than providing cost driver analysis to aid the strategic management process in universities, the system appears to represent little more than a compliance and reporting framework between university central administrations and the funding provider, HEFC.

  20. Analysis of factors associated with injury severity in crashes involving young New Zealand drivers

    DEFF Research Database (Denmark)

    Weiss, Harold B.; Kaplan, Sigal; Prato, Carlo Giacomo

    2014-01-01

    measures within youth-oriented road safety programs. The current study estimates discrete choice models of injury severity of crashes involving young drivers conditional on these crashes having occurred. The analysis examined a comprehensive set of single-vehicle and two-vehicle crashes involving at least......Young people are a risk to themselves and other road users, as motor vehicle crashes are the leading cause of their death. A thorough understanding of the most important factors associated with injury severity in crashes involving young drivers is important for designing well-targeted restrictive...... fit than a binary and a generalized ordered logit. Results show that the young drivers’ behavior, the presence of passengers and the involvement of vulnerable road users were the most relevant factors associated with higher injury severity in both single-vehicle and two-vehicle crashes. Seatbelt non...

  1. Perturbation and Stability Analysis of the Multi-Anticipative Intelligent Driver Model

    Science.gov (United States)

    Chen, Xi-Qun; Xie, Wei-Jun; Shi, Jing; Shi, Qi-Xin

    This paper discusses three kinds of IDM car-following models that consider both the multi-anticipative behaviors and the reaction delays of drivers. Here, the multi-anticipation comes from two ways: (1) the driver is capable of evaluating the dynamics of several preceding vehicles, and (2) the autonomous vehicles can obtain the velocity and distance information of several preceding vehicles via inter-vehicle communications. In this paper, we study the stability of homogeneous traffic flow. The linear stability analysis indicates that the stable region will generally be enlarged by the multi-anticipative behaviors and reduced by the reaction delays. The temporal amplification and the spatial divergence of velocities for local perturbation are also studied, where the results further prove this conclusion. Simulation results also show that the multi-anticipative behaviors near the bottleneck will lead to a quicker backwards propagation of oscillations.

  2. Identifying MMORPG Bots: A Traffic Analysis Approach

    Directory of Open Access Journals (Sweden)

    Wen-Chin Chen

    2008-11-01

    Full Text Available Massively multiplayer online role playing games (MMORPGs have become extremely popular among network gamers. Despite their success, one of MMORPG's greatest challenges is the increasing use of game bots, that is, autoplaying game clients. The use of game bots is considered unsportsmanlike and is therefore forbidden. To keep games in order, game police, played by actual human players, often patrol game zones and question suspicious players. This practice, however, is labor-intensive and ineffective. To address this problem, we analyze the traffic generated by human players versus game bots and propose general solutions to identify game bots. Taking Ragnarok Online as our subject, we study the traffic generated by human players and game bots. We find that their traffic is distinguishable by 1 the regularity in the release time of client commands, 2 the trend and magnitude of traffic burstiness in multiple time scales, and 3 the sensitivity to different network conditions. Based on these findings, we propose four strategies and two ensemble schemes to identify bots. Finally, we discuss the robustness of the proposed methods against countermeasures of bot developers, and consider a number of possible ways to manage the increasingly serious bot problem.

  3. Systems analysis of eleven rodent disease models reveals an inflammatome signature and key drivers.

    Science.gov (United States)

    Wang, I-Ming; Zhang, Bin; Yang, Xia; Zhu, Jun; Stepaniants, Serguei; Zhang, Chunsheng; Meng, Qingying; Peters, Mette; He, Yudong; Ni, Chester; Slipetz, Deborah; Crackower, Michael A; Houshyar, Hani; Tan, Christopher M; Asante-Appiah, Ernest; O'Neill, Gary; Luo, Mingjuan Jane; Thieringer, Rolf; Yuan, Jeffrey; Chiu, Chi-Sung; Lum, Pek Yee; Lamb, John; Boie, Yves; Wilkinson, Hilary A; Schadt, Eric E; Dai, Hongyue; Roberts, Christopher

    2012-07-17

    Common inflammatome gene signatures as well as disease-specific signatures were identified by analyzing 12 expression profiling data sets derived from 9 different tissues isolated from 11 rodent inflammatory disease models. The inflammatome signature significantly overlaps with known drug targets and co-expressed gene modules linked to metabolic disorders and cancer. A large proportion of genes in this signature are tightly connected in tissue-specific Bayesian networks (BNs) built from multiple independent mouse and human cohorts. Both the inflammatome signature and the corresponding consensus BNs are highly enriched for immune response-related genes supported as causal for adiposity, adipokine, diabetes, aortic lesion, bone, muscle, and cholesterol traits, suggesting the causal nature of the inflammatome for a variety of diseases. Integration of this inflammatome signature with the BNs uncovered 151 key drivers that appeared to be more biologically important than the non-drivers in terms of their impact on disease phenotypes. The identification of this inflammatome signature, its network architecture, and key drivers not only highlights the shared etiology but also pinpoints potential targets for intervention of various common diseases.

  4. Carbon dioxide emission drivers for a typical metropolis using input–output structural decomposition analysis

    International Nuclear Information System (INIS)

    Wang, Yafei; Zhao, Hongyan; Li, Liying; Liu, Zhu; Liang, Sai

    2013-01-01

    As the capital of China, Beijing is regarded as a major metropolis in the world. Study of the variation in temporal CO 2 emissions generated by the driving forces in Beijing can provide guidance for policy decisions on CO 2 emissions mitigation in global metropolises. Based on input–output structural decomposition analysis (IO-SDA), we analysed the driving forces for the increment in CO 2 emissions in Beijing from both production and final demand perspectives during 1997–2010. According to our results, the CO 2 emission growth in Beijing is driven mainly by production structure change and population growth, partly offset by CO 2 emission intensity reduction as well as the decline in per capita final demand volume during the study period. Final demand structure change has a limited effect on the change in the CO 2 emissions in Beijing. From the final demand perspective, urban trades, urban residential consumption, government consumption and fixed capital formation are mainly responsible for the booming emissions. This study showed how the “top-down” IO-SDA methodology was implemented on a city scale. Policy implications from this study would be helpful for addressing CO 2 emissions mitigation in global capital cities and metropolises. - Highlights: • Changes in production structure and population are drivers of CO 2 increment. • Changes in CO 2 intensity and per capita GDP are forces to offset CO 2 increment. • Final demand structure change has limited effect on Beijing's CO 2 emission change. • Beijing's key final demand categories and economic sectors are identified. • Policy implications of Beijing's results are analyzed

  5. Expression profiling of in vivo ductal carcinoma in situ progression models identified B cell lymphoma-9 as a molecular driver of breast cancer invasion

    OpenAIRE

    Elsarraj, Hanan S.; Hong, Yan; Valdez, Kelli E.; Michaels, Whitney; Hook, Marcus; Smith, William P.; Chien, Jeremy; Herschkowitz, Jason I.; Troester, Melissa A.; Beck, Moriah; Inciardi, Marc; Gatewood, Jason; May, Lisa; Cusick, Therese; McGinness, Marilee

    2015-01-01

    Introduction: There are an estimated 60,000 new cases of ductal carcinoma in situ (DCIS) each year. A lack of understanding in DCIS pathobiology has led to overtreatment of more than half of patients. We profiled the temporal molecular changes during DCIS transition to invasive ductal carcinoma (IDC) using in vivo DCIS progression models. These studies identified B cell lymphoma-9 (BCL9) as a potential molecular driver of early invasion. BCL9 is a newly found co-activator of Wnt-stimulated β-...

  6. Proteomic profiling identifies PTK2/FAK as a driver of radioresistance in HPV-negative head and neck cancer

    Science.gov (United States)

    Skinner, Heath D.; Giri, Uma; Yang, Liang P.; Woo, Sang Hyeok; Story, Michael; Pickering, Curtis; Byers, Lauren; Williams, Michelle; El Naggar, Adel; Wang, Jing; Diao, Lixia; Shen, Li; Fan, You Hong; Molkentine, David; Beadle, Beth; Meyn, Raymond; Myers, Jeffrey; Heymach, John

    2016-01-01

    Purpose Head and neck squamous cell carcinoma (HNSCC) is commonly treated with radiotherapy, and local failure after treatment remains the major cause of disease-related mortality. To date human papillomavirus (HPV) is the only known clinically validated, targetable biomarkers of response to radiation in HNSCC. Experimental Design We performed proteomic and transcriptomic analysis of targetable biomarkers of radioresistance in HPV-negative HNSCC cell lines in vitro, and tested whether pharmacologic blockade of candidate biomarkers sensitized cells to radiotherapy. Candidate biomarkers were then investigated in several independent cohorts of patients with HNSCC. Results Increased expression of several targets was associated with radioresistance, including FGFR, ERK1, EGFR, and focal adhesion kinase (FAK), also known as PTK2. Chemical inhibition of PTK2/FAK, but not FGFR, led to significant radiosensitization with increased G2/M arrest and potentiated DNA damage. PTK2/FAK overexpression was associated with gene amplification in HPV-negative HNSCC cell lines and clinical tumors. In two independent cohorts of patients with locally advanced HPV-negative HNSCC, PTK2/FAK amplification was highly associated with poorer disease-free survival (DFS) (P=0.012 and P=0.034). PTK2/FAK mRNA expression was also associated with worse DFS (P=0.03). Moreover, both PTK2/FAK mRNA (P=0.021) and copy number (P=0.063) were associated with DFS in the Head and Neck Cancer subgroup of The Cancer Genome Atlas. Conclusion Proteomic analysis identified PTK2/FAK overexpression is a biomarker of radioresistance in locally advanced HNSCC, and PTK2/FAK inhibition radiosensitized HNSCC cells. Combinations of PTK2/FAK inhibition with radiotherapy merit further evaluation as a therapeutic strategy for improving local control in HPV-negative HNSCC. PMID:27036135

  7. Analysis of medical and psychological certificates concerning drivers who drove after alcohol use

    Directory of Open Access Journals (Sweden)

    Ewa Latała-Łoś

    2014-08-01

    Full Text Available Background: The aim of the study is to present the health predispositions to drive, assessed during certifying people referred to the Regional Centre for Occupational Medicine in Kielce due to drunk driving or driving after using alcohol. The article mainly presents the results regarding the prevalence of alcohol dependence and other psychiatric disorders in this group. We analyzed health condition at 3 year intervals in the years 2004, 2007 and 2010, adding the population of those who were examined in 2011. Material and Methods: A total of 5701 people were involved, both men and women. Drivers test cards along with the results of biochemical tests and specialist consultations were analyzed. The analysis of the results was performed using the statistical package PQStat 1.4.2.324 Results: Certificates with health contraindications to drive were issued to 6.7% of investigated individuals. Very significant correlation between alcohol dependence syndrome and the level of γ-glutamyl transferase (GGT, alanine aminotransferase (ALT, and aspartate aminotransferase (AST were confirmed. Alcohol dependence was diagnosed in 3.8% of the group. Conclusions: The health state of the drivers met the required certification criteria necessary for obtaining a driving license in more than 93% of the group. The study revealed many diseases in the group of investigated drivers, including 3.8% of alcohol dependence and 5% of mental disorders. The threat of losing driving license has become an important factor motivating drivers to undertake therapy. However, it seems advisable to develop principles for treatment monitoring and exchange of information between the certifying physician and the treating psychiatrist or psychologist. Med Pr 2014;65(4:497–506

  8. An on-road network analysis-based approach to studying driver situation awareness at rail level crossings.

    Science.gov (United States)

    Salmon, Paul M; Lenné, Michael G; Young, Kristie L; Walker, Guy H

    2013-09-01

    Crashes between cars and trains at rail level crossings are problematic worldwide. Despite this, key facets of driver behaviour at rail level crossings, such as situation awareness and decision making, remain ambiguous. This is largely down to the inability of existing methodologies to describe or evaluate the cognitive aspects of driver behaviour when negotiating rail level crossings. This paper showcases an on-road approach for examining driver situation awareness at rail level crossings. The study presented involved participants, classified either as novice or experienced drivers, providing concurrent verbal protocols as they drove a pre-determined urban route incorporating four rail level crossings. Driver situation awareness was modelled using a network analysis-based approach and the structure and content of the networks was assessed. The analysis revealed key differences between novice and experienced drivers situation awareness at rail level crossings. In closing, the benefits of the on-road approach are discussed and a series of wider driver behaviour applications are proposed. Copyright © 2012 Elsevier Ltd. All rights reserved.

  9. Comprehensive Characterization of Cancer Driver Genes and Mutations

    NARCIS (Netherlands)

    Bailey, Matthew H.; Tokheim, Collin; Porta-Pardo, Eduard; Sengupta, Sohini; Bertrand, Denis; Weerasinghe, Amila; Colaprico, Antonio; Wendl, Michael C.; Kim, Jaegil; Reardon, Brendan; Ng, Patrick Kwok Shing; Jeong, Kang Jin; Cao, Song; Wang, Zixing; Gao, Jianjiong; Gao, Qingsong; Wang, Fang; Liu, Eric Minwei; Mularoni, Loris; Rubio-Perez, Carlota; Nagarajan, Niranjan; Cortés-Ciriano, Isidro; Zhou, Daniel Cui; Liang, Wen Wei; Hess, Julian M.; Yellapantula, Venkata D.; Tamborero, David; Gonzalez-Perez, Abel; Suphavilai, Chayaporn; Ko, Jia Yu; Khurana, Ekta; Park, Peter J.; Van Allen, Eliezer M.; Liang, Han; Caesar-Johnson, Samantha J.; Demchok, John A.; Felau, Ina; Kasapi, Melpomeni; Ferguson, Martin L.; Hutter, Carolyn M.; Sofia, Heidi J.; Tarnuzzer, Roy; Wang, Zhining; Yang, Liming; Zenklusen, Jean C.; Zhang, Jiashan (Julia); Chudamani, Sudha; Liu, Jia; Lolla, Laxmi; Naresh, Rashi; Pihl, Todd; Sun, Qiang; Wan, Yunhu; Wu, Ye; Cho, Juok; DeFreitas, Timothy; Frazer, Scott; Gehlenborg, Nils; Getz, Gad; Heiman, David I.; Kim, Jaegil; Lawrence, Michael S.; Lin, Pei; Meier, Sam; Noble, Michael S.; Saksena, Gordon; Voet, Doug; Zhang, Hailei; Bernard, Brady; Chambwe, Nyasha; Dhankani, Varsha; Knijnenburg, Theo; Kramer, Roger; Leinonen, Kalle; Liu, Yuexin; Miller, Michael; Reynolds, Sheila; Shmulevich, Ilya; Thorsson, Vesteinn; Zhang, Wei; Akbani, Rehan; Broom, Bradley M.; Hegde, Apurva M.; Ju, Zhenlin; Kanchi, Rupa S.; Korkut, Anil; Li, Jun; Liang, Han; Ling, Shiyun; Liu, Wenbin; Lu, Yiling; Mills, Gordon B.; Ng, Kwok Shing; Rao, Arvind; Ryan, Michael; Wang, Jing; Weinstein, John N.; Zhang, Jiexin; Abeshouse, Adam; Armenia, Joshua; Chakravarty, Debyani; Chatila, Walid K.; de Bruijn, Ino; Gao, Jianjiong; Gross, Benjamin E.; Heins, Zachary J.; Kundra, Ritika; La, Konnor; Ladanyi, Marc; Luna, Augustin; Nissan, Moriah G.; Ochoa, Angelica; Phillips, Sarah M.; Reznik, Ed; Sanchez-Vega, Francisco; Sander, Chris; Schultz, Nikolaus; Sheridan, Robert; Sumer, S. Onur; Sun, Yichao; Taylor, Barry S.; Wang, Jioajiao; Zhang, Hongxin; Anur, Pavana; Peto, Myron; Spellman, Paul; Benz, Christopher; Stuart, Joshua M.; Wong, Christopher K.; Yau, Christina; Hayes, D. Neil; Parker, Joel S.; Wilkerson, Matthew D.; Ally, Adrian; Balasundaram, Miruna; Bowlby, Reanne; Brooks, Denise; Carlsen, Rebecca; Chuah, Eric; Dhalla, Noreen; Holt, Robert; Jones, Steven J.M.; Kasaian, Katayoon; Lee, Darlene; Ma, Yussanne; Marra, Marco A.; Mayo, Michael; Moore, Richard A.; Mungall, Andrew J.; Mungall, Karen; Robertson, A. Gordon; Sadeghi, Sara; Schein, Jacqueline E.; Sipahimalani, Payal; Tam, Angela; Thiessen, Nina; Tse, Kane; Wong, Tina; Berger, Ashton C.; Beroukhim, Rameen; Cherniack, Andrew D.; Cibulskis, Carrie; Gabriel, Stacey B.; Gao, Galen F.; Ha, Gavin; Meyerson, Matthew; Schumacher, Steven E.; Shih, Juliann; Kucherlapati, Melanie H.; Kucherlapati, Raju S.; Baylin, Stephen; Cope, Leslie; Danilova, Ludmila; Bootwalla, Moiz S.; Lai, Phillip H.; Maglinte, Dennis T.; Van Den Berg, David J.; Weisenberger, Daniel J.; Auman, J. Todd; Balu, Saianand; Bodenheimer, Tom; Fan, Cheng; Hoadley, Katherine A.; Hoyle, Alan P.; Jefferys, Stuart R.; Jones, Corbin D.; Meng, Shaowu; Mieczkowski, Piotr A.; Mose, Lisle E.; Perou, Amy H.; Perou, Charles M.; Roach, Jeffrey; Shi, Yan; Simons, Janae V.; Skelly, Tara; Soloway, Matthew G.; Tan, Donghui; Veluvolu, Umadevi; Fan, Huihui; Hinoue, Toshinori; Laird, Peter W.; Shen, Hui; Zhou, Wanding; Bellair, Michelle; Chang, Kyle; Covington, Kyle; Creighton, Chad J.; Dinh, Huyen; Doddapaneni, Harsha Vardhan; Donehower, Lawrence A.; Drummond, Jennifer; Gibbs, Richard A.; Glenn, Robert; Hale, Walker; Han, Yi; Hu, Jianhong; Korchina, Viktoriya; Lee, Sandra; Lewis, Lora; Li, Wei; Liu, Xiuping; Morgan, Margaret; Morton, Donna; Muzny, Donna; Santibanez, Jireh; Sheth, Margi; Shinbrot, Eve; Wang, Linghua; Wang, Min; Wheeler, David; Xi, Liu; Zhao, Fengmei; Hess, Julian; Appelbaum, Elizabeth L.; Bailey, Matthew; Cordes, Matthew G.; Ding, Li; Fronick, Catrina C.; Fulton, Lucinda A.; Fulton, Robert S.; Kandoth, Cyriac; Mardis, Elaine R.; McLellan, Michael D.; Miller, Christopher A.; Schmidt, Heather K.; Wilson, Richard K.; Crain, Daniel; Curley, Erin; Gardner, Johanna; Lau, Kevin; Mallery, David; Morris, Scott; Paulauskis, Joseph; Penny, Robert; Shelton, Candace; Shelton, Troy; Sherman, Mark; Thompson, Eric; Yena, Peggy; Bowen, Jay; Gastier-Foster, Julie M.; Gerken, Mark; Leraas, Kristen M.; Lichtenberg, Tara M.; Ramirez, Nilsa C.; Wise, Lisa; Zmuda, Erik; Corcoran, Niall; Costello, Tony; Hovens, Christopher; Carvalho, Andre L.; de Carvalho, Ana C.; Fregnani, José H.; Longatto-Filho, Adhemar; Reis, Rui M.; Scapulatempo-Neto, Cristovam; Silveira, Henrique C.S.; Vidal, Daniel O.; Burnette, Andrew; Eschbacher, Jennifer; Hermes, Beth; Noss, Ardene; Singh, Rosy; Anderson, Matthew L.; Castro, Patricia D.; Ittmann, Michael; Huntsman, David; Kohl, Bernard; Le, Xuan; Thorp, Richard; Andry, Chris; Duffy, Elizabeth R.; Lyadov, Vladimir; Paklina, Oxana; Setdikova, Galiya; Shabunin, Alexey; Tavobilov, Mikhail; McPherson, Christopher; Warnick, Ronald; Berkowitz, Ross; Cramer, Daniel; Feltmate, Colleen; Horowitz, Neil; Kibel, Adam; Muto, Michael; Raut, Chandrajit P.; Malykh, Andrei; Barnholtz-Sloan, Jill S.; Barrett, Wendi; Devine, Karen; Fulop, Jordonna; Ostrom, Quinn T.; Shimmel, Kristen; Wolinsky, Yingli; Sloan, Andrew E.; De Rose, Agostino; Giuliante, Felice; Goodman, Marc; Karlan, Beth Y.; Hagedorn, Curt H.; Eckman, John; Harr, Jodi; Myers, Jerome; Tucker, Kelinda; Zach, Leigh Anne; Deyarmin, Brenda; Hu, Hai; Kvecher, Leonid; Larson, Caroline; Mural, Richard J.; Somiari, Stella; Vicha, Ales; Zelinka, Tomas; Bennett, Joseph; Iacocca, Mary; Rabeno, Brenda; Swanson, Patricia; Latour, Mathieu; Lacombe, Louis; Têtu, Bernard; Bergeron, Alain; McGraw, Mary; Staugaitis, Susan M.; Chabot, John; Hibshoosh, Hanina; Sepulveda, Antonia; Su, Tao; Wang, Timothy; Potapova, Olga; Voronina, Olga; Desjardins, Laurence; Mariani, Odette; Roman-Roman, Sergio; Sastre, Xavier; Stern, Marc Henri; Cheng, Feixiong; Signoretti, Sabina; Berchuck, Andrew; Bigner, Darell; Lipp, Eric; Marks, Jeffrey; McCall, Shannon; McLendon, Roger; Secord, Angeles; Sharp, Alexis; Behera, Madhusmita; Brat, Daniel J.; Chen, Amy; Delman, Keith; Force, Seth; Khuri, Fadlo; Magliocca, Kelly; Maithel, Shishir; Olson, Jeffrey J.; Owonikoko, Taofeek; Pickens, Alan; Ramalingam, Suresh; Shin, Dong M.; Sica, Gabriel; Van Meir, Erwin G.; Zhang, Hongzheng; Eijckenboom, Wil; Gillis, Ad; Korpershoek, Esther; Looijenga, Leendert; Oosterhuis, Wolter; Stoop, Hans; van Kessel, Kim E.; Zwarthoff, Ellen C.; Calatozzolo, Chiara; Cuppini, Lucia; Cuzzubbo, Stefania; DiMeco, Francesco; Finocchiaro, Gaetano; Mattei, Luca; Perin, Alessandro; Pollo, Bianca; Chen, Chu; Houck, John; Lohavanichbutr, Pawadee; Hartmann, Arndt; Stoehr, Christine; Stoehr, Robert; Taubert, Helge; Wach, Sven; Wullich, Bernd; Kycler, Witold; Murawa, Dawid; Wiznerowicz, Maciej; Chung, Ki; Edenfield, W. Jeffrey; Martin, Julie; Baudin, Eric; Bubley, Glenn; Bueno, Raphael; De Rienzo, Assunta; Richards, William G.; Kalkanis, Steven; Mikkelsen, Tom; Noushmehr, Houtan; Scarpace, Lisa; Girard, Nicolas; Aymerich, Marta; Campo, Elias; Giné, Eva; Guillermo, Armando López; Van Bang, Nguyen; Hanh, Phan Thi; Phu, Bui Duc; Tang, Yufang; Colman, Howard; Evason, Kimberley; Dottino, Peter R.; Martignetti, John A.; Gabra, Hani; Juhl, Hartmut; Akeredolu, Teniola; Stepa, Serghei; Hoon, Dave; Ahn, Keunsoo; Kang, Koo Jeong; Beuschlein, Felix; Breggia, Anne; Birrer, Michael; Bell, Debra; Borad, Mitesh; Bryce, Alan H.; Castle, Erik; Chandan, Vishal; Cheville, John; Copland, John A.; Farnell, Michael; Flotte, Thomas; Giama, Nasra; Ho, Thai; Kendrick, Michael; Kocher, Jean Pierre; Kopp, Karla; Moser, Catherine; Nagorney, David; O'Brien, Daniel; O'Neill, Brian Patrick; Patel, Tushar; Petersen, Gloria; Que, Florencia; Rivera, Michael; Roberts, Lewis; Smallridge, Robert; Smyrk, Thomas; Stanton, Melissa; Thompson, R. Houston; Torbenson, Michael; Yang, Ju Dong; Zhang, Lizhi; Brimo, Fadi; Ajani, Jaffer A.; Gonzalez, Ana Maria Angulo; Behrens, Carmen; Bondaruk, Jolanta; Broaddus, Russell; Czerniak, Bogdan; Esmaeli, Bita; Fujimoto, Junya; Gershenwald, Jeffrey; Guo, Charles; Lazar, Alexander J.; Logothetis, Christopher; Meric-Bernstam, Funda; Moran, Cesar; Ramondetta, Lois; Rice, David; Sood, Anil; Tamboli, Pheroze; Thompson, Timothy; Troncoso, Patricia; Tsao, Anne; Wistuba, Ignacio; Carter, Candace; Haydu, Lauren; Hersey, Peter; Jakrot, Valerie; Kakavand, Hojabr; Kefford, Richard; Lee, Kenneth; Long, Georgina; Mann, Graham; Quinn, Michael; Saw, Robyn; Scolyer, Richard; Shannon, Kerwin; Spillane, Andrew; Stretch, Jonathan; Synott, Maria; Thompson, John; Wilmott, James; Al-Ahmadie, Hikmat; Chan, Timothy A.; Ghossein, Ronald; Gopalan, Anuradha; Levine, Douglas A.; Reuter, Victor; Singer, Samuel; Singh, Bhuvanesh; Tien, Nguyen Viet; Broudy, Thomas; Mirsaidi, Cyrus; Nair, Praveen; Drwiega, Paul; Miller, Judy; Smith, Jennifer; Zaren, Howard; Park, Joong Won; Hung, Nguyen Phi; Kebebew, Electron; Linehan, W. Marston; Metwalli, Adam R.; Pacak, Karel; Pinto, Peter A.; Schiffman, Mark; Schmidt, Laura S.; Vocke, Cathy D.; Wentzensen, Nicolas; Worrell, Robert; Yang, Hannah; Moncrieff, Marc; Goparaju, Chandra; Melamed, Jonathan; Pass, Harvey; Botnariuc, Natalia; Caraman, Irina; Cernat, Mircea; Chemencedji, Inga; Clipca, Adrian; Doruc, Serghei; Gorincioi, Ghenadie; Mura, Sergiu; Pirtac, Maria; Stancul, Irina; Tcaciuc, Diana; Albert, Monique; Alexopoulou, Iakovina; Arnaout, Angel; Bartlett, John; Engel, Jay; Gilbert, Sebastien; Parfitt, Jeremy; Sekhon, Harman; Thomas, George; Rassl, Doris M.; Rintoul, Robert C.; Bifulco, Carlo; Tamakawa, Raina; Urba, Walter; Hayward, Nicholas; Timmers, Henri; Antenucci, Anna; Facciolo, Francesco; Grazi, Gianluca; Marino, Mirella; Merola, Roberta; de Krijger, Ronald; Gimenez-Roqueplo, Anne Paule; Piché, Alain; Chevalier, Simone; McKercher, Ginette; Birsoy, Kivanc; Barnett, Gene; Brewer, Cathy; Farver, Carol; Naska, Theresa; Pennell, Nathan A.; Raymond, Daniel; Schilero, Cathy; Smolenski, Kathy; Williams, Felicia; Morrison, Carl; Borgia, Jeffrey A.; Liptay, Michael J.; Pool, Mark; Seder, Christopher W.; Junker, Kerstin; Omberg, Larsson; Dinkin, Mikhail; Manikhas, George; Alvaro, Domenico; Bragazzi, Maria Consiglia; Cardinale, Vincenzo; Carpino, Guido; Gaudio, Eugenio; Chesla, David; Cottingham, Sandra; Dubina, Michael; Moiseenko, Fedor; Dhanasekaran, Renumathy; Becker, Karl Friedrich; Janssen, Klaus Peter; Slotta-Huspenina, Julia; Abdel-Rahman, Mohamed H.; Aziz, Dina; Bell, Sue; Cebulla, Colleen M.; Davis, Amy; Duell, Rebecca; Elder, J. Bradley; Hilty, Joe; Kumar, Bahavna; Lang, James; Lehman, Norman L.; Mandt, Randy; Nguyen, Phuong; Pilarski, Robert; Rai, Karan; Schoenfield, Lynn; Senecal, Kelly; Wakely, Paul; Hansen, Paul; Lechan, Ronald; Powers, James; Tischler, Arthur; Grizzle, William E.; Sexton, Katherine C.; Kastl, Alison; Henderson, Joel; Porten, Sima; Waldmann, Jens; Fassnacht, Martin; Asa, Sylvia L.; Schadendorf, Dirk; Couce, Marta; Graefen, Markus; Huland, Hartwig; Sauter, Guido; Schlomm, Thorsten; Simon, Ronald; Tennstedt, Pierre; Olabode, Oluwole; Nelson, Mark; Bathe, Oliver; Carroll, Peter R.; Chan, June M.; Disaia, Philip; Glenn, Pat; Kelley, Robin K.; Landen, Charles N.; Phillips, Joanna; Prados, Michael; Simko, Jeffry; Smith-McCune, Karen; VandenBerg, Scott; Roggin, Kevin; Fehrenbach, Ashley; Kendler, Ady; Sifri, Suzanne; Steele, Ruth; Jimeno, Antonio; Carey, Francis; Forgie, Ian; Mannelli, Massimo; Carney, Michael; Hernandez, Brenda; Campos, Benito; Herold-Mende, Christel; Jungk, Christin; Unterberg, Andreas; von Deimling, Andreas; Bossler, Aaron; Galbraith, Joseph; Jacobus, Laura; Knudson, Michael; Knutson, Tina; Ma, Deqin; Milhem, Mohammed; Sigmund, Rita; Godwin, Andrew K.; Madan, Rashna; Rosenthal, Howard G.; Adebamowo, Clement; Adebamowo, Sally N.; Boussioutas, Alex; Beer, David; Giordano, Thomas; Mes-Masson, Anne Marie; Saad, Fred; Bocklage, Therese; Landrum, Lisa; Mannel, Robert; Moore, Kathleen; Moxley, Katherine; Postier, Russel; Walker, Joan; Zuna, Rosemary; Feldman, Michael; Valdivieso, Federico; Dhir, Rajiv; Luketich, James; Pinero, Edna M.Mora; Quintero-Aguilo, Mario; Carlotti, Carlos Gilberto; Dos Santos, Jose Sebastião; Kemp, Rafael; Sankarankuty, Ajith; Tirapelli, Daniela; Catto, James; Agnew, Kathy; Swisher, Elizabeth; Creaney, Jenette; Robinson, Bruce; Shelley, Carl Simon; Godwin, Eryn M.; Kendall, Sara; Shipman, Cassaundra; Bradford, Carol; Carey, Thomas; Haddad, Andrea; Moyer, Jeffey; Peterson, Lisa; Prince, Mark; Rozek, Laura; Wolf, Gregory; Bowman, Rayleen; Fong, Kwun M.; Yang, Ian; Korst, Robert; Rathmell, W. Kimryn; Fantacone-Campbell, J. Leigh; Hooke, Jeffrey A.; Kovatich, Albert J.; Shriver, Craig D.; DiPersio, John; Drake, Bettina; Govindan, Ramaswamy; Heath, Sharon; Ley, Timothy; Van Tine, Brian; Westervelt, Peter; Rubin, Mark A.; Lee, Jung Il; Aredes, Natália D.; Mariamidze, Armaz; Lawrence, Michael S.; Godzik, Adam; Lopez-Bigas, Nuria; Stuart, Josh; Wheeler, David; Getz, Gad; Chen, Ken; Lazar, Alexander J.; Mills, Gordon B.; Karchin, Rachel; Ding, Li

    2018-01-01

    Identifying molecular cancer drivers is critical for precision oncology. Multiple advanced algorithms to identify drivers now exist, but systematic attempts to combine and optimize them on large datasets are few. We report a PanCancer and PanSoftware analysis spanning 9,423 tumor exomes (comprising

  10. Heavy vehicle driver workload assessment. Task 3, task analysis data collection

    Science.gov (United States)

    This technical report consists of a collection of task analytic data to support heavy vehicle driver workload assessment and protocol development. Data were collected from professional drivers to provide insights into the following issues: the meanin...

  11. Understanding the drivers on medical workloads: an analysis of spectators at the Australian Football League.

    Science.gov (United States)

    Zeitz, Kathryn; Haghighi, Pari Delir; Burstein, Frada; Williams, Jeffrey

    2013-06-01

    The present study was designed to further understand the psychosocial drivers of crowds impacting on the demand for healthcare. This involved analysing different spectator crowds for medical usage at mass gatherings; more specifically, did different football team spectators (of the Australian Football League) generate different medical usage rates. In total, 317 games were analysed from 10 venues over 2 years. Data were analysed by the ANOVA and Pearson correlation tests. RESULTS; Spectators who supported different football teams generated statistically significant differences in patient presentation rates (PPR) (F15, 618=1.998, P=0.014). The present study confirmed previous findings that there is a positive correlation between the crowd size and PPR at mass gatherings but found a negative correlation between density and PPR (r = -0.206, n=317, Pfootball teams generated statistically significant differences in PPR. What is known about this topic? Understanding the drivers of emergency medical care is most important in the mass gathering setting. There has been minimal analysis of psychological 'crowd' variables. What does this paper add? This study explores the psychosocial impact of supporting a different team on the PPR of spectators at Australian Football League matches. The value of collecting and analysing these types of data sets is to support more balanced planning, better decision support and knowledge management, and more effective emergency medical demand management. What are the implications for practitioners? This information further expands the body of evidence being created to understand the drivers of emergency medical demand and usage. In addition, it supports the planning and management of emergency medical and health-related requirements by increasing our understanding of the effect of elements of 'crowd' that impact on medical usage and emergency healthcare.

  12. Engineering and Functional Characterization of Fusion Genes Identifies Novel Oncogenic Drivers of Cancer. | Office of Cancer Genomics

    Science.gov (United States)

    Oncogenic gene fusions drive many human cancers, but tools to more quickly unravel their functional contributions are needed. Here we describe methodology permitting fusion gene construction for functional evaluation. Using this strategy, we engineered the known fusion oncogenes, BCR-ABL1, EML4-ALK, and ETV6-NTRK3, as well as 20 previously uncharacterized fusion genes identified in TCGA datasets.

  13. Individual and combined effects of multiple global change drivers on terrestrial phosphorus pools: A meta-analysis.

    Science.gov (United States)

    Yue, Kai; Yang, Wanqin; Peng, Yan; Peng, Changhui; Tan, Bo; Xu, Zhenfeng; Zhang, Li; Ni, Xiangyin; Zhou, Wei; Wu, Fuzhong

    2018-07-15

    Human activity-induced global change drivers have dramatically changed terrestrial phosphorus (P) dynamics. However, our understanding of the interactive effects of multiple global change drivers on terrestrial P pools remains elusive, limiting their incorporation into ecological and biogeochemical models. We conducted a meta-analysis using 1751 observations extracted from 283 published articles to evaluate the individual, combined, and interactive effects of elevated CO 2 , warming, N addition, P addition, increased rainfall, and drought on P pools of plant (at both single-plant and plant-community levels), soil and microbial biomass. Our results suggested that (1) terrestrial P pools showed the most sensitive responses to the individual effects of warming and P addition; (2) P pools were consistently stimulated by P addition alone or in combination with simultaneous N addition; (3) environmental and experimental setting factors such as ecosystem type, climate, and latitude could significantly influence both the individual and combined effects; and (4) the interactive effects of two-driver pairs across multiple global change drivers are more likely to be additive rather than synergistic or antagonistic. Our findings highlighting the importance of additive interactive effects among multiple global change drivers on terrestrial P pools would be useful for incorporating P as controls on ecological processes such as photosynthesis and plant growth into ecosystem models used to analyze effects of multiple drivers under future global change. Copyright © 2018 Elsevier B.V. All rights reserved.

  14. An econometric analysis of the effects of the penalty points system driver's license in Spain.

    Science.gov (United States)

    Castillo-Manzano, José I; Castro-Nuño, Mercedes; Pedregal, Diego J

    2010-07-01

    This article seeks to quantify the effects of the penalty points system driver's license during the 18-month period following its coming into force. This is achieved by means of univariate and multivariate unobserved component models set up in a state space framework estimated using maximum likelihood. A detailed intervention analysis is carried out in order to test for the effects and their duration of the introduction of the penalty points system driver's license in Spain. Other variables, mainly indicators of the level of economic activity in Spain, are also considered. Among the main effects, we can mention an average reduction of almost 12.6% in the number of deaths in highway accidents. It would take at least 2 years for that effect to disappear. For the rest of the safety indicator variables (vehicle occupants injured in highway accidents and vehicle occupants injured in accidents built-up areas) the effects disappeared 1 year after the law coming into force. Copyright 2010 Elsevier Ltd. All rights reserved.

  15. Analysis of near-field of diffractive gratings used in inertial confinement fusion driver

    Science.gov (United States)

    Tang, Xionggui; Gao, Fuhua; Gao, Feng; Zhang, Yixiao; Du, Jinglei; Guo, Yongkang; Du, Chunlei

    2005-02-01

    Diffractive gratings, such as 1 grating and beam sampling grating (BSG), are used in the inertial confinement fusion (ICF) driver because of their high diffractive efficiency. Under high power laser condition, it demands that near fields of the diffractive gratings, mainly affected by input laser energy and beam modulation, must be less than their damage threshold, otherwise the diffractive gratings will be damaged. In this paper, Fourier modal method based on the rigorous electromagnetic theory is introduced to rapidly and accurately analyze the distribution of near fields of the diffractive gratings. Its physical concept is clear and concise, and computation cost is small. Through numerical simulation, it indicates that the results calculated by Fourier modal method are accurate and effective, compared with those calculated by other method. The near fields of 1 grating used in final optical system of ICF driver are obtained. In addition, fabrication errors effects on the near field modulation are simulated. It shows that the sidewall slope errors are the main cause of optical field modulation. With theoretical analysis and numerical simulation, it is useful to understand mechanism of damage and help how to control fabrication process errors of the optical elements used in the optical system of ICF.

  16. Whole exome sequencing identifies driver mutations in asymptomatic computed tomography-detected lung cancers with normal karyotype.

    Science.gov (United States)

    Belloni, Elena; Veronesi, Giulia; Rotta, Luca; Volorio, Sara; Sardella, Domenico; Bernard, Loris; Pece, Salvatore; Di Fiore, Pier Paolo; Fumagalli, Caterina; Barberis, Massimo; Spaggiari, Lorenzo; Pelicci, Pier Giuseppe; Riva, Laura

    2015-04-01

    The efficacy of curative surgery for lung cancer could be largely improved by non-invasive screening programs, which can detect the disease at early stages. We previously showed that 18% of screening-identified lung cancers demonstrate a normal karyotype and, following high-density genome scanning, can be subdivided into samples with 1) numerous; 2) none; and 3) few copy number alterations. Whole exome sequencing was applied to the two normal karyotype, screening-detected lung cancers, constituting group 2, as well as normal controls. We identified mutations in both tumors, including KEAP1 (commonly mutated in lung cancers) in one, and TP53, PMS1, and MSH3 (well-characterized DNA-repair genes) in the other. The two normal karyotype screening-detected lung tumors displayed a typical lung cancer mutational profile that only next generation sequencing could reveal, which offered an additional contribution to the over-diagnosis bias concept hypothesized within lung cancer screening programs. Copyright © 2015 Elsevier Inc. All rights reserved.

  17. Discrepancy analysis of driving performance of taxi drivers and non-professional drivers for red-light running violation and crash avoidance at intersections.

    Science.gov (United States)

    Wu, Jiawei; Yan, Xuedong; Radwan, Essam

    2016-06-01

    Due to comfort, convenience, and flexibility, taxis have become increasingly more prevalent in China, especially in large cities. However, many violations and road crashes that occurred frequently were related to taxi drivers. This study aimed to investigate differences in driving performance between taxi drivers and non-professional drivers from the perspectives of red-light running violation and potential crash involvement based on a driving simulation experiment. Two typical scenarios were established in a driving simulator, which includes the red-light running violation scenario and the crash avoidance scenario. There were 49 participants, including 23 taxi drivers (14 males and 9 females) and 26 non-professional drivers (13 males and 13 females) recruited for this experiment. The driving simulation experiment results indicated that non-professional drivers paid more attention to red-light running violations in comparison to taxi drivers who had a higher probability of red-light running violation. Furthermore, it was found that taxi drivers were more inclined to turn the steering wheel in an attempt to avoid a potential collision and non-professional drivers had more abrupt deceleration behaviors when facing a potential crash. Moreover, the experiment results showed that taxi drivers had a smaller crash rate compared to non-professional drivers and had a better performance in terms of crash avoidance at the intersection. Copyright © 2016 Elsevier Ltd. All rights reserved.

  18. Driver style and driver skills – clustering drivers differing in their potential danger in traffic

    DEFF Research Database (Denmark)

    Martinussen, Laila Marianne; Møller, Mette; Prato, Carlo Giacomo

    , annual mileage and accident involvement. 3908 drivers aged 18–84 participated in the survey. The results suggested that the drivers have good insight into their own driving ability, as the driving skill level mirrored the frequency of aberrant driving behaviors. K-means cluster analysis revealed four...... distinct clusters that differed in the frequency of aberrant driving behavior and driving skills, as well as individual characteristics and driving related factors such as annual mileage, accident frequency and number of tickets and fines. Thus, two sub-groups were identified as more unsafe than the two...

  19. Spatial and temporal variability of column-integrated CO2: identifying drivers and variations from high-resolution model simulations and OCO-2 observations

    Science.gov (United States)

    Chatterjee, A.; Ott, L.; Wennberg, P. O.; Kawa, S. R.; O'Dell, C.; Osterman, G. B.; Wunch, D.

    2015-12-01

    Isolating the drivers and variations in column-averaged dry air mole fraction of carbon dioxide (XCO2) is essential for mining information from space-based remote-sensing observations, such as those available from the Orbiting Carbon Observatory-2 (OCO-2). Contrary to the large number of studies analyzing the variability of surface CO2 concentrations, studies analyzing the spatiotemporal variability of XCO2 are relatively limited. More importantly, these results are either based on a sparse network of ground-based total column observations (i.e., from the Total Column Carbon Observing Network - TCCON) or derived from low-resolution model simulations. In this study, using the high-resolution (~7 km) GEOS-5 model simulated fields and the high-density observations from OCO-2, we investigate how variability in surface fluxes and/or meteorological drivers impact the observed XCO2 variability across a range of scales. The study focuses on ~13:30 LT and is designed to highlight the significant contributors to local and regional scale XCO2 variability from daily to seasonal timescales. In collaboration with the OCO-2 Validation team, the variability information is also being used to identify small geographical areas (<1° or ~100km) where the XCO2 is expected to be relatively constant. These small areas then serve as target regions for examining the potential of external variables (for e.g., surface reflectance, aerosol) to generate biases (variability) in the XCO2 retrievals in those regions. We will also show comparison results of the model-based variability analyses with the variability statistics derived from actual OCO-2 retrievals. This comparison serves as an important consistency check for the simulated fields from the GEOS-5 model. Finally, we will review these results in terms of assessing and quantifying representation errors as well as developing and implementing data thinning/'superobbing' algorithms for OCO-2 retrievals.

  20. Stakeholders Perspectives on the Success Drivers in Ghana’s National Health Insurance Scheme – Identifying Policy Translation Issues

    Science.gov (United States)

    Fusheini, Adam; Marnoch, Gordon; Gray, Ann Marie

    2017-01-01

    Background: Ghana’s National Health Insurance Scheme (NHIS), established by an Act of Parliament (Act 650), in 2003 and since replaced by Act 852 of 2012 remains, in African terms, unprecedented in terms of growth and coverage. As a result, the scheme has received praise for its associated legal reforms, clinical audit mechanisms and for serving as a hub for knowledge sharing and learning within the context of South-South cooperation. The scheme continues to shape national health insurance thinking in Africa. While the success, especially in coverage and financial access has been highlighted by many authors, insufficient attention has been paid to critical and context-specific factors. This paper seeks to fill that gap. Methods: Based on an empirical qualitative case study of stakeholders’ views on challenges and success factors in four mutual schemes (district offices) located in two regions of Ghana, the study uses the concept of policy translation to assess whether the Ghana scheme could provide useful lessons to other African and developing countries in their quest to implement social/NHISs. Results: In the study, interviewees referred to both ‘hard and soft’ elements as driving the "success" of the Ghana scheme. The main ‘hard elements’ include bureaucratic and legal enforcement capacities; IT; financing; governance, administration and management; regulating membership of the scheme; and service provision and coverage capabilities. The ‘soft’ elements identified relate to: the background/context of the health insurance scheme; innovative ways of funding the NHIS, the hybrid nature of the Ghana scheme; political will, commitment by government, stakeholders and public cooperation; social structure of Ghana (solidarity); and ownership and participation. Conclusion: Other developing countries can expect to translate rather than re-assemble a national health insurance programme in an incomplete and highly modified form over a period of years

  1. Stakeholders Perspectives on the Success Drivers in Ghana’s National Health Insurance Scheme – Identifying Policy Translation Issues

    Directory of Open Access Journals (Sweden)

    Adam Fusheini

    2017-05-01

    Full Text Available Background Ghana’s National Health Insurance Scheme (NHIS, established by an Act of Parliament (Act 650, in 2003 and since replaced by Act 852 of 2012 remains, in African terms, unprecedented in terms of growth and coverage. As a result, the scheme has received praise for its associated legal reforms, clinical audit mechanisms and for serving as a hub for knowledge sharing and learning within the context of South-South cooperation. The scheme continues to shape national health insurance thinking in Africa. While the success, especially in coverage and financial access has been highlighted by many authors, insufficient attention has been paid to critical and context-specific factors. This paper seeks to fill that gap. Methods Based on an empirical qualitative case study of stakeholders’ views on challenges and success factors in four mutual schemes (district offices located in two regions of Ghana, the study uses the concept of policy translation to assess whether the Ghana scheme could provide useful lessons to other African and developing countries in their quest to implement social/NHISs. Results In the study, interviewees referred to both ‘hard and soft’ elements as driving the “success” of the Ghana scheme. The main ‘hard elements’ include bureaucratic and legal enforcement capacities; IT; financing; governance, administration and management; regulating membership of the scheme; and service provision and coverage capabilities. The ‘soft’ elements identified relate to: the background/context of the health insurance scheme; innovative ways of funding the NHIS, the hybrid nature of the Ghana scheme; political will, commitment by government, stakeholders and public cooperation; social structure of Ghana (solidarity; and ownership and participation. Conclusion Other developing countries can expect to translate rather than re-assemble a national health insurance programme in an incomplete and highly modified form over a period

  2. [Automobile Traffic Accident Death Case Analysis of Characteristics of Driver Injury].

    Science.gov (United States)

    Du, Y L; Zhang, W L

    2017-02-01

    To distinguish the injury characteristic changes on the drivers between the injuries of drivers and passengers in traffic accidents, and to provide scientific evidence for confirming the identity of driver in traffic accidents. Data of 126 automobile traffic accident death cases in the reclamation areas of Heilongjiang province from 2006-2014 were retrospectively studied. The injury characteristics on the drivers of automobile traffic accident death cases were analyzed and the forensic identification problem in the injuries of drivers and passengers were discussed. Injuries were frequently observed on driver's neck, chest and abdomen. The characteristic injuries caused by auto parts were also found, which appeared at the places of passenger's head, face and limbs contacted with automobile. Such characteristic injuries were not found at other places. The location and type of injury are associated with the identity of the deceased. Copyright© by the Editorial Department of Journal of Forensic Medicine

  3. A Statistical Analysis of the Economic Drivers of Battery Energy Storage in Commercial Buildings

    Energy Technology Data Exchange (ETDEWEB)

    Long, Matthew; Simpkins, Travis; Cutler, Dylan; Anderson, Kate

    2016-11-21

    There is significant interest in using battery energy storage systems (BESS) to reduce peak demand charges, and therefore the life cycle cost of electricity, in commercial buildings. This paper explores the drivers of economic viability of BESS in commercial buildings through statistical analysis. A sample population of buildings was generated, a techno-economic optimization model was used to size and dispatch the BESS, and the resulting optimal BESS sizes were analyzed for relevant predictor variables. Explanatory regression analyses were used to demonstrate that peak demand charges are the most significant predictor of an economically viable battery, and that the shape of the load profile is the most significant predictor of the size of the battery.

  4. A Statistical Analysis of the Economic Drivers of Battery Energy Storage in Commercial Buildings: Preprint

    Energy Technology Data Exchange (ETDEWEB)

    Long, Matthew; Simpkins, Travis; Cutler, Dylan; Anderson, Katie

    2016-11-01

    There is significant interest in using battery energy storage systems (BESS) to reduce peak demand charges, and therefore the life cycle cost of electricity, in commercial buildings. This paper explores the drivers of economic viability of BESS in commercial buildings through statistical analysis. A sample population of buildings was generated, a techno-economic optimization model was used to size and dispatch the BESS, and the resulting optimal BESS sizes were analyzed for relevant predictor variables. Explanatory regression analyses were used to demonstrate that peak demand charges are the most significant predictor of an economically viable battery, and that the shape of the load profile is the most significant predictor of the size of the battery.

  5. Evolutionary analysis of vision genes identifies potential drivers of visual differences between giraffe and okapi

    OpenAIRE

    Ishengoma, Edson; Agaba, Morris; Cavener, Douglas R.

    2017-01-01

    Background The capacity of visually oriented species to perceive and respond to visual signal is integral to their evolutionary success. Giraffes are closely related to okapi, but the two species have broad range of phenotypic differences including their visual capacities. Vision studies rank giraffe’s visual acuity higher than all other artiodactyls despite sharing similar vision ecological determinants with many of them. The extent to which the giraffe’s unique visual capacity and its diffe...

  6. Comparative analysis of driver's brake perception-reaction time at signalized intersections with and without countdown timer using parametric duration models.

    Science.gov (United States)

    Fu, Chuanyun; Zhang, Yaping; Bie, Yiming; Hu, Liwei

    2016-10-01

    Countdown timers display the time left on the current signal, which makes drivers be more ready to react to the phase change. However, previous related studies have rarely explored the effects of countdown timer on driver's brake perception-reaction time (BPRT) to yellow light. The goal of this study was therefore to characterize and model driver's BPRT to yellow signal at signalized intersections with and without countdown timer. BPRT data for "first-to-stop" vehicles after yellow onset within the transitional zone were collected through on-site observation at six signalized intersections in Harbin, China. Statistical analysis showed that the observed 15th, 50th, and 85th percentile BPRTs without countdown timer were 0.52, 0.84, and 1.26s, respectively. The observed 15th, 50th, and 85th percentile BPRTs with countdown timer were 0.32, 1.20, and 2.52s, respectively. Log-logistic distribution appeared to best fit the BPRT without countdown timer, while Weibull distribution seemed to best fit the BPRT with countdown timer. After that, a Log-logistic accelerated failure time (AFT) duration model was developed to model driver's BPRT without countdown timer, whereas a Weibull AFT duration model was established to model driver's BPRT with countdown timer. Three significant factors affecting the BPRT identified in both AFT models included yellow-onset distance from the stop line, yellow-onset approach speed, and deceleration rate. No matter whether the presence of countdown timer or not, BPRT increased as yellow-onset distance to the stop line or deceleration rate increased, but decreased as yellow-onset speed increased. The impairment of driver's BPRT due to countdown timer appeared to increase with yellow-onset distance to the stop line or deceleration rate, but decrease with yellow-onset speed. An increase in driver's BPRT because of countdown timer may induce risky driving behaviors (i.e., stop abruptly, or even violate traffic signal), revealing a weakness of

  7. Spatiotemporal variability in wildfire patterns and analysis of the main drivers in Honduras using GIS and MODIS data

    Science.gov (United States)

    Valdez Vasquez, M. C.; Chen, C. F.

    2017-12-01

    Wildfires are unrestrained fires in an area of flammable vegetation and they are one of the most frequent disasters in Honduras during the dry season. During this period, anthropogenic activity combined with the harsh climatic conditions, dry vegetation and topographical variables, cause a large amount of wildfires. For this reason, there is a need to identify the drivers of wildfires and their susceptibility variations during the wildfire season. In this study, we combined the wildfire points during the 2010-2016 period every 8 days with a series of variables using the random forest (RF) algorithm. In addition to the wildfire points, we randomly generated a similar amount of background points that we use as pseudo-absence data. To represent the human imprint, we included proximity to different types of roads, trails, settlements and agriculture sites. Other variables included are the Moderate Resolution Imaging Spectra-radiometer (MODIS)-derived 8-day composites of land surface temperature (LST) and the normalized multi-band drought index (NMDI), derived from the MODIS surface reflectance data. We also included monthly average precipitation, solar radiation, and topographical variables. The exploratory analysis of the variables reveals that low precipitation combined with the low NMDI and accessibility to non-paved roads were the major drivers of wildfires during the early months of the dry season. During April, which is the peak of the dry season, the explanatory variables of relevance also included elevation and LST in addition to the proximity to paved and non-paved roads. During May, proximity to crops becomes relevant, in addition to the aforesaid variables. The average estimated area with high and very high wildfire susceptibility was 22% of the whole territory located mainly in the central and eastern regions, drifting towards the northeast areas during May. We validated the results using the area under the receiver operating characteristic (ROC) curve (AUC

  8. Long-term changes in CO{sub 2} emissions in Austria and Czechoslovakia-Identifying the drivers of environmental pressures

    Energy Technology Data Exchange (ETDEWEB)

    Gingrich, Simone, E-mail: simone.gingrich@uni-klu.ac.a [Institute of Social Ecology, Faculty for Interdisciplinary Studies Vienna, University of Klagenfurt, Schottenfeldgasse 29/5, 1070 Wien (Austria); Kuskova, Petra [Department of Social Geography and Regional Development, Charles University in Prague (Czech Republic); Steinberger, Julia K. [Institute of Social Ecology, Faculty for Interdisciplinary Studies Vienna, University of Klagenfurt, Schottenfeldgasse 29/5, 1070 Wien (Austria)

    2011-02-15

    This study presents fossil-fuel related CO{sub 2} emissions in Austria and Czechoslovakia (current Czech Republic and Slovakia) for 1830-2000. The drivers of CO{sub 2} emissions are discussed by investigating the variables of the standard Kaya identity for 1920-2000 and conducting a comparative Index Decomposition Analysis. Proxy data on industrial production and household consumption are analysed to understand the role of the economic structure. CO{sub 2} emissions increased in both countries in the long run. Czechoslovakia was a stronger emitter of CO{sub 2} throughout the time period, but per-capita emissions significantly differed only after World War I, when Czechoslovakia and Austria became independent. The difference in CO{sub 2} emissions increased until the mid-1980s (the period of communism in Czechoslovakia), explained by the energy intensity and the composition effects, and higher industrial production in Czechoslovakia. Counterbalancing factors were the income effect and household consumption. After the Velvet revolution in 1990, Czechoslovak CO{sub 2} emissions decreased, and the energy composition effect (and industrial production) lost importance. Despite their different political and economic development, Austria and Czechoslovakia reached similar levels of per-capita CO{sub 2} emissions in the late 20th century. Neither Austrian 'eco-efficiency' nor Czechoslovak restructuring have been effective in reducing CO{sub 2} emissions to a sustainable level. - Research Highlights: {yields}CO{sub 2} emissions in Austria and Czechoslovakia increased during industrialisation. {yields}The differences were strongest during periods of different political regimes. {yields}The main drivers for differences were energy composition and energy intensity.

  9. Drivers of Sales Innovation in Business-To-Business Firms

    DEFF Research Database (Denmark)

    Ritter, Thomas; Geersbro, Jens

    2014-01-01

    This paper defines the term sales innovation, offers an operationalization of the concept, and discusses antecedents of sales innovation in terms of important internal and external drivers. An empirical analysis of 409 B2B firms identifies the internal drivers of sales innovation as increased top...

  10. Driver feedback mobile APP

    Energy Technology Data Exchange (ETDEWEB)

    Soriguera Marti, F.; Miralles Miquel, E.

    2016-07-01

    This paper faces the human factor in driving and its consequences for road safety. It presents the concepts behind the development of a smartphone app capable of evaluating drivers’ performance. The app provides feedback to the driver in terms of a grade (between 0 and 10) depending on the aggressiveness and risks taken while driving. These are computed from the cumulative probability distribution function of the jerks (i.e. the time derivative of acceleration), which are measured using the smartphones’ accelerometer. Different driving contexts (e.g. urban, freeway, congestion, etc.) are identified applying cluster analysis to the measurements, and treated independently. Using regression analysis, the aggressiveness indicator is related to the drivers' safety records and to the probability of having an accident, through the standard DBQ - Driving Behavior Questionnaire. Results from a very limited pilot test show a strong correlation between the 99th percentile of the jerk measurements and the DBQ results. A linear model is fitted. This allows quantifying the safe driving behavior only from smartphone measurements. Finally, this indicator is translated into a normalized grade and feedback to the driver. This feedback will challenge the driver to train and to improve his performance. The phone will be blocked while driving and will incorporate mechanisms to prevent bad practices, like competition in aggressive driving. The app is intended to contribute to the improvement of road safety, one of the major public health problems, by tackling the human factor which is the trigger of the vast majority of traffic accidents. Making explicit and quantifying risky behaviors is the first step towards a safer driving. (Author)

  11. Development and application of a new tool in driver task analysis; Entwicklung und Anwendung einer neuen Methodik zur Fahreraufgabenanalyse

    Energy Technology Data Exchange (ETDEWEB)

    Fastenmeier, W.; Gstalter, H. [mensch-verkehr-umwelt Institut fuer Angewandte Psychologie, Muenchen (Germany)

    2003-07-01

    A framework for driver task analysis is derived from a model of the drivers information processing. The first step of the procedure (SAFE) is to divide a given driving task (e.g. left turning in a signalised intersection of a certain type) into subtasks. These subtasks are appointed to defined stretches of the road and the time structure of the subtasks is determined. For each subtask an analysis format is used, that organizes different requirements into perception, expectation, judgement, memory, decision and driver action. In a next step, typical driver errors are appointed to the subtasks. Afterwards the information gathered in the analysis procedure is compressed to ratings of the complexity and risk included in each subtask. After the crucial subtasks of a driving task have been determined, a list of those requirements that led to that rating can be compiled. These lists give the potential for aiding the driver e.g. by use of driver assistance systems. (orig.) [German] In den Verkehrswissenschaften existieren bislang keine verkehrsspezifischen Standardverfahren, die eine Anforderungsanalyse auf der Ebene der Fahraufgaben erlauben. Dieser Beitrag stellt die Grundzuege eines Verfahrens zur Fahraufgabenanalyse dar (SAFE: Situative Anforderungsanalyse von Fahraufgaben). Es basiert auf einer Modellvorstellung zu den Informationsverarbeitungsprozessen, die waehrend der Bewaeltigung der Fahraufgabe eine Rolle spielen. Der erste Schritt der Aufgabenanalyse besteht darin, eine ausgewaehlte Fahraufgabe (z.B. Linksabbiegen in einer ampelgeregelten Kreuzung bestimmten Typs) in Teilaufgaben zu zerlegen und eine zeitliche Strukturierung dieser Teilaufgaben vorzunehmen. Diese werden raeumlichen Segmenten zugeordnet, die nacheinander durchfahren werden muessen. Fuer jede Teilaufgabe erfolgt dann die eigentliche Anforderungsanalyse, die nach den Kapiteln Wahrnehmung, Erwartungsbildung, Beurteilung, Gedaechtnisprozesse, Entscheidung/Planung sowie Fahrzeugbedienung mit jeweils

  12. An Analysis of Young Driver Crash Types and the Associated Lifetime Care Cost in Victoria, Australia.

    Science.gov (United States)

    Buckis, Samantha; Lenné, Mike G; Fitzharris, Michael

    2015-01-01

    The elevated crash involvement rate of young drivers is well documented. Given the higher crash risk of young drivers and the need for innovative policy and programs, it remains important to fully understand the type of crashes young drivers are involved in, and knowledge of the lifetime care cost of crashes can support effective policy development. The aim of this article is to document the number and type of young driver crashes, as well as the associated lifetime care cost over a 9-year period (2005-2013) in Victoria, Australia. In Victoria, Australia, the Transport Accident Commission (TAC) has legislated responsibility for road safety and the care of persons injured in road crashes, irrespective of fault. TAC claims data for the period 2005-2013 were used to document the number and type of young driver crashes. Lifetime care costs (past and future payment liabilities) were calculated by Taylor Fry actuarial consultancy. License and population data were used to define the crash involvement rate of young drivers. Over the 9-year period, 16,817 claims were lodged to the TAC by drivers 18-25 years of age following a crash. There were 646 fewer drivers aged 18-25 killed and injured in 2013, compared to 2005, representing an unadjusted change of -28.7% (-29.8% males; -28.4% females). The total lifetime care cost of young drivers killed and injured in Victoria for the period 2005-2013 was estimated to be AU$634 million (US$493 million). Differences between males and females, single- and multivehicle crashes, and fatalities and injuries were found to be statistically significant. Run-off-road crashes and crashes from opposing direction were overrepresented in the lifetime care costs for young driver claimants. Twenty-eight injured drivers were classified as high-severity claims. These 28 claimants require additional long-term care, which was estimated to be AU$219 million; of these 28, 24 were male (85.7%). The long-term care costs for these 28 drivers (0

  13. Assessing the relationship between the Driver Behavior Questionnaire and the Driver Skill Inventory: Revealing sub-groups of drivers

    DEFF Research Database (Denmark)

    Martinussen, Laila Marianne; Møller, Mette; Prato, Carlo Giacomo

    2014-01-01

    by frequency of aberrant driving behaviors and level of driving skills), as well as to test whether the sub-groups differ in characteristics such as age, gender, annual mileage and accident involvement. Furthermore, the joint analysis of the two instruments was used to test drivers’ assessment of their own...... self-reported driving skills and whether the reported skill level was reflected in the reported aberrant driving behaviors. 3908 drivers aged 18–84 participated in the survey. K-means cluster analysis revealed four distinct sub-groups that differed in driving skills and frequency of aberrant driving......The Driver Behavior Questionnaire and the Driver Skill Inventory are two of the most frequently used measures of self-reported driving style and driving skill. The motivation behind the present study was to identify sub-groups of drivers that potentially act dangerously in traffic (as measured...

  14. An Analysis of a Contingency Program on Designated Drivers at a College Bar

    Science.gov (United States)

    Kazbour, Richard R.; Bailey, Jon S.

    2010-01-01

    The present study evaluated the effects of prompts and incentives on designated drivers in a bar. We defined the dependent variable as the percentage of customers either functioning as or riding with a designated driver. We used an ABCA design to evaluate the effectiveness of prompts and incentives on the dependent variable. Results indicated that…

  15. Drivers of Collaborative Advantage

    DEFF Research Database (Denmark)

    Weihe, Gudrid

    , the antecedents of collaborative advantage are theoretically examined, and the organizational competences contributing to collaborative success are identified. The conclusion is that operational processes and social dynamics are vital drivers of collaborative advantage. Another significant conclusion...

  16. Uptake of health services among truck drivers in South Africa: analysis of routine data from nine roadside wellness centres.

    Science.gov (United States)

    Lalla-Edward, Samanta Tresha; Ncube, Sydney; Matthew, Paul; Hankins, Catherine A; Venter, W D Francois; Gomez, Gabriela B

    2017-09-13

    access malaria and PHC services. South African attendees were more likely to access PHC, while attendees from other nationalities were more likely to access HIV and malaria services. This utilisation analysis shows that tailored services assist in alleviating healthcare access challenges faced by truck drivers, but it underscores the importance of ensuring that service packages and clinics speak to truck drivers' needs in terms of services offered and clinic location.

  17. Meta-analysis of graduated driver licensing laws: effectiveness of specific program components : traffic tech.

    Science.gov (United States)

    2015-11-01

    Graduated driver licensing (GDL) programs in the United States do not represent a single homogeneous intervention; rather, they contain different combinations and variations of program components. Programs vary by the duration of each stage of the GD...

  18. Heavy vehicle driver workload assessment. Task 1, task analysis data and protocols review

    Science.gov (United States)

    This report contains a review of available task analytic data and protocols pertinent to heavy vehicle operation and determination of the availability and relevance of such data to heavy vehicle driver workload assessment. Additionally, a preliminary...

  19. How do older adult drivers self-regulate? Characteristics of self-regulation classes defined by latent class analysis.

    Science.gov (United States)

    Bergen, Gwen; West, Bethany A; Luo, Feijun; Bird, Donna C; Freund, Katherine; Fortinsky, Richard H; Staplin, Loren

    2017-06-01

    Motor-vehicle crashes were the second leading cause of injury death for adults aged 65-84years in 2014. Some older drivers choose to self-regulate their driving to maintain mobility while reducing driving risk, yet the process remains poorly understood. Data from 729 older adults (aged ≥60years) who joined an older adult ride service program between April 1, 2010 and November 8, 2013 were analyzed to define and describe classes of driving self-regulation. Latent class analysis was employed to characterize older adult driving self-regulation classes using driving frequency and avoidance of seven driving situations. Logistic regression was used to explore associations between characteristics affecting mobility and self-regulation class. Three classes were identified (low, medium, and high self-regulation). High self-regulating participants reported the highest proportion of always avoiding seven risky driving situations and the lowest driving frequency followed by medium and low self-regulators. Those who were female, aged 80years or older, visually impaired, assistive device users, and those with special health needs were more likely to be high self-regulating compared with low self-regulating. Avoidance of certain driving situations and weekly driving frequency are valid indicators for describing driving self-regulation classes in older adults. Understanding the unique characteristics and mobility limitations of each class can guide optimal transportation strategies for older adults. Published by Elsevier Ltd.

  20. Brain imaging analysis can identify participants under regular mental training.

    Science.gov (United States)

    Sato, João R; Kozasa, Elisa H; Russell, Tamara A; Radvany, João; Mello, Luiz E A M; Lacerda, Shirley S; Amaro, Edson

    2012-01-01

    Multivariate pattern recognition approaches have become a prominent tool in neuroimaging data analysis. These methods enable the classification of groups of participants (e.g. controls and patients) on the basis of subtly different patterns across the whole brain. This study demonstrates that these methods can be used, in combination with automated morphometric analysis of structural MRI, to determine with great accuracy whether a single subject has been engaged in regular mental training or not. The proposed approach allowed us to identify with 94.87% accuracy (pimaging applications, in which participants could be identified based on their mental experience.

  1. Multi-institutional Oncogenic Driver Mutation Analysis in Lung Adenocarcinoma: The Lung Cancer Mutation Consortium Experience.

    Science.gov (United States)

    Sholl, Lynette M; Aisner, Dara L; Varella-Garcia, Marileila; Berry, Lynne D; Dias-Santagata, Dora; Wistuba, Ignacio I; Chen, Heidi; Fujimoto, Junya; Kugler, Kelly; Franklin, Wilbur A; Iafrate, A John; Ladanyi, Marc; Kris, Mark G; Johnson, Bruce E; Bunn, Paul A; Minna, John D; Kwiatkowski, David J

    2015-05-01

    Molecular genetic analyses of lung adenocarcinoma have recently become standard of care for treatment selection. The Lung Cancer Mutation Consortium was formed to enable collaborative multi-institutional analyses of 10 potential oncogenic driver mutations. Technical aspects of testing and clinicopathologic correlations are presented. Mutation testing in at least one of the eight genes (epidermal growth factor receptor [EGFR], KRAS, ERBB2, AKT1, BRAF, MEK1, NRAS, and PIK3CA) using SNaPshot, mass spectrometry, Sanger sequencing+/- peptide nucleic acid and/or sizing assays, along with anaplastic lymphoma kinase (ALK) and/or MET fluorescence in situ hybridization, were performed in six labs on 1007 patients from 14 institutions. In all, 1007 specimens had mutation analysis performed, and 733 specimens had all 10 genes analyzed. Mutation identification rates did not vary by analytic method. Biopsy and cytology specimens were inadequate for testing in 26% and 35% of cases compared with 5% of surgical specimens. Among the 1007 cases with mutation analysis performed, EGFR, KRAS, ALK, and ERBB2 alterations were detected in 22%, 25%, 8.5%, and 2.4% of cases, respectively. EGFR mutations were highly associated with female sex, Asian race, and never-smoking status; and less strongly associated with stage IV disease, presence of bone metastases, and absence of adrenal metastases. ALK rearrangements were strongly associated with never-smoking status and more weakly associated with presence of liver metastases. ERBB2 mutations were strongly associated with Asian race and never-smoking status. Two mutations were seen in 2.7% of samples, all but one of which involved one or more of PIK3CA, ALK, or MET. Multi-institutional molecular analysis across multiple platforms, sample types, and institutions can yield consistent results and novel clinicopathological observations.

  2. Measuring and Ranking Value Drivers

    NARCIS (Netherlands)

    M.M. Akalu

    2002-01-01

    textabstractAnalysis of the strength of value drivers is crucial to understand their influence in the process of free cash flow generation. The paper addresses the issue of value driver measurement and ranking. The research reveals that, value drivers have similar pattern across industries.

  3. Identifying Importance-Performance Matrix Analysis (IPMA) of ...

    African Journals Online (AJOL)

    The results of the study revealed that human capital, organizational capital, technological capital and Islamic work ethics significantly influenced business performance. Then, this study explored the use of the Importance-Performance matrix analysis to identify priority factors that can be enhanced to increase business ...

  4. Identifying Students’ Misconceptions on Basic Algorithmic Concepts Through Flowchart Analysis

    NARCIS (Netherlands)

    Rahimi, E.; Barendsen, E.; Henze, I.; Dagienė, V.; Hellas, A.

    2017-01-01

    In this paper, a flowchart-based approach to identifying secondary school students’ misconceptions (in a broad sense) on basic algorithm concepts is introduced. This approach uses student-generated flowcharts as the units of analysis and examines them against plan composition and construct-based

  5. BIOELECTRICAL IMPEDANCE VECTOR ANALYSIS IDENTIFIES SARCOPENIA IN NURSING HOME RESIDENTS

    Science.gov (United States)

    Loss of muscle mass and water shifts between body compartments are contributing factors to frailty in the elderly. The body composition changes are especially pronounced in institutionalized elderly. We investigated the ability of single-frequency bioelectrical impedance analysis (BIA) to identify b...

  6. Identifying subgroups of patients using latent class analysis

    DEFF Research Database (Denmark)

    Nielsen, Anne Mølgaard; Kent, Peter; Hestbæk, Lise

    2017-01-01

    BACKGROUND: Heterogeneity in patients with low back pain (LBP) is well recognised and different approaches to subgrouping have been proposed. Latent Class Analysis (LCA) is a statistical technique that is increasingly being used to identify subgroups based on patient characteristics. However...

  7. Identifying clinical course patterns in SMS data using cluster analysis.

    Science.gov (United States)

    Kent, Peter; Kongsted, Alice

    2012-07-02

    Recently, there has been interest in using the short message service (SMS or text messaging), to gather frequent information on the clinical course of individual patients. One possible role for identifying clinical course patterns is to assist in exploring clinically important subgroups in the outcomes of research studies. Two previous studies have investigated detailed clinical course patterns in SMS data obtained from people seeking care for low back pain. One used a visual analysis approach and the other performed a cluster analysis of SMS data that had first been transformed by spline analysis. However, cluster analysis of SMS data in its original untransformed form may be simpler and offer other advantages. Therefore, the aim of this study was to determine whether cluster analysis could be used for identifying clinical course patterns distinct from the pattern of the whole group, by including all SMS time points in their original form. It was a 'proof of concept' study to explore the potential, clinical relevance, strengths and weakness of such an approach. This was a secondary analysis of longitudinal SMS data collected in two randomised controlled trials conducted simultaneously from a single clinical population (n = 322). Fortnightly SMS data collected over a year on 'days of problematic low back pain' and on 'days of sick leave' were analysed using Two-Step (probabilistic) Cluster Analysis. Clinical course patterns were identified that were clinically interpretable and different from those of the whole group. Similar patterns were obtained when the number of SMS time points was reduced to monthly. The advantages and disadvantages of this method were contrasted to that of first transforming SMS data by spline analysis. This study showed that clinical course patterns can be identified by cluster analysis using all SMS time points as cluster variables. This method is simple, intuitive and does not require a high level of statistical skill. However, there

  8. Analysis of functional germline variants in APOBEC3 and driver genes on breast cancer risk in Moroccan study population

    International Nuclear Information System (INIS)

    Marouf, Chaymaa; Göhler, Stella; Filho, Miguel Inacio Da Silva; Hajji, Omar; Hemminki, Kari; Nadifi, Sellama; Försti, Asta

    2016-01-01

    Breast cancer (BC) is the most prevalent cancer in women and a major public health problem in Morocco. Several Moroccan studies have focused on studying this disease, but more are needed, especially at the genetic and molecular levels. Therefore, we investigated the potential association of several functional germline variants in the genes commonly mutated in sporadic breast cancer. In this case–control study, we examined 36 single nucleotide polymorphisms (SNPs) in 13 genes (APOBEC3A, APOBEC3B, ARID1B, ATR, MAP3K1, MLL2, MLL3, NCOR1, RUNX1, SF3B1, SMAD4, TBX3, TTN), which were located in the core promoter, 5’-and 3’UTR or which were nonsynonymous SNPs to assess their potential association with inherited predisposition to breast cancer development. Additionally, we identified a ~29.5-kb deletion polymorphism between APOBEC3A and APOBEC3B and explored possible associations with BC. A total of 226 Moroccan breast cancer cases and 200 matched healthy controls were included in this study. The analysis showed that12 SNPs in 8 driver genes, 4 SNPs in APOBEC3B gene and 1 SNP in APOBEC3A gene were associated with BC risk and/or clinical outcome at P ≤ 0.05 level. RUNX1-rs8130963 (odds ratio (OR) = 2.25; 95 % CI 1.42-3.56; P = 0.0005; dominant model), TBX3-rs8853 (OR = 2.04; 95 % CI 1.38-3.01; P = 0.0003; dominant model), TBX3-rs1061651 (OR = 2.14; 95 % CI1.43-3.18; P = 0.0002; dominant model), TTN-rs12465459 (OR = 2.02; 95 % confidence interval 1.33-3.07; P = 0.0009; dominant model), were the most significantly associated SNPs with BC risk. A strong association with clinical outcome were detected for the genes SMAD4 -rs3819122 with tumor size (OR = 0.45; 95 % CI 0.25-0.82; P = 0.009) and TTN-rs2244492 with estrogen receptor (OR = 0.45; 95 % CI 0.25-0.82; P = 0.009). Our results suggest that genetic variations in driver and APOBEC3 genes were associated with the risk of BC and may have impact on clinical outcome. However, the reported association between the

  9. Practical identifiability analysis of a minimal cardiovascular system model.

    Science.gov (United States)

    Pironet, Antoine; Docherty, Paul D; Dauby, Pierre C; Chase, J Geoffrey; Desaive, Thomas

    2017-01-17

    Parameters of mathematical models of the cardiovascular system can be used to monitor cardiovascular state, such as total stressed blood volume status, vessel elastance and resistance. To do so, the model parameters have to be estimated from data collected at the patient's bedside. This work considers a seven-parameter model of the cardiovascular system and investigates whether these parameters can be uniquely determined using indices derived from measurements of arterial and venous pressures, and stroke volume. An error vector defined the residuals between the simulated and reference values of the seven clinically available haemodynamic indices. The sensitivity of this error vector to each model parameter was analysed, as well as the collinearity between parameters. To assess practical identifiability of the model parameters, profile-likelihood curves were constructed for each parameter. Four of the seven model parameters were found to be practically identifiable from the selected data. The remaining three parameters were practically non-identifiable. Among these non-identifiable parameters, one could be decreased as much as possible. The other two non-identifiable parameters were inversely correlated, which prevented their precise estimation. This work presented the practical identifiability analysis of a seven-parameter cardiovascular system model, from limited clinical data. The analysis showed that three of the seven parameters were practically non-identifiable, thus limiting the use of the model as a monitoring tool. Slight changes in the time-varying function modeling cardiac contraction and use of larger values for the reference range of venous pressure made the model fully practically identifiable. Copyright © 2017. Published by Elsevier B.V.

  10. Spatial organization and drivers of the virtual water trade: a community-structure analysis

    International Nuclear Information System (INIS)

    D’Odorico, Paolo; Carr, Joel; Laio, Francesco; Ridolfi, Luca

    2012-01-01

    The trade of agricultural commodities can be associated with a virtual transfer of the local freshwater resources used for the production of these goods. Thus, trade of food products virtually transfers large amounts of water from areas of food production to far consumption regions, a process termed the ‘globalization of water’. We consider the (time-varying) community structure of the virtual water network for the years 1986–2008. The communities are groups of countries with dense internal connections, while the connections are sparser among different communities. Between 1986 and 2008, the ratio between virtual water flows within communities and the total global trade of virtual water has continuously increased, indicating the existence of well defined clusters of virtual water transfers. In some cases (e.g. Central and North America and Europe in recent years) the virtual water communities correspond to geographically coherent regions, suggesting the occurrence of an ongoing process of regionalization of water resources. However, most communities also include countries located on different ‘sides’ of the world. As such, geographic proximity only partly explains the community structure of virtual water trade. Similarly, the global distribution of people and wealth, whose effect on the virtual water trade is expressed through simple ‘gravity models’, is unable to explain the strength of virtual water communities observed in the past few decades. A gravity model based on the availability of and demand for virtual water in different countries has higher explanatory power, but the drivers of the virtual water fluxes are yet to be adequately identified. (letter)

  11. Driver behavior in traffic.

    Science.gov (United States)

    2012-02-01

    Existing traffic analysis and management tools do not model the ability of drivers to recognize their environment and respond to it with behaviors that vary according to the encountered driving situation. The small body of literature on characterizin...

  12. Drug use among drivers

    Science.gov (United States)

    1975-02-01

    Randomly selected drivers were stopped at times and places of previous fatal crashes in Lincoln, Nebraska, and Dade County (Miami), Florida. Breath, urnine, blood, and lip swab samples were requested, for later analysis for drugs and medications. A c...

  13. Analysis of Factors Determining Ergonomic Conditions of Driver's Workplace and Safety in Transport of Dangerous Goods

    Science.gov (United States)

    Grabarek, Iwona; Beczkowska, Sylwia

    2012-09-01

    The article concerns issues connected with the safety of the carriage of dangerous goods. Raising a subject was justified with the rising number of cartages of these goods and the same height of the probability of the appearance of the environmental risk and remaining road users. A specificity of the arrangement was analyzed driver-vehicleenvironment, paying special attention to ergonomic determinants of working conditions of the driver. In the article data of the National Police Headquarters concerning causes of accident involving dangerous goods in the road transport was also described. Exceeding the permissible speed, the non-observance of traffic regulations, as well as the tiredness which resulted in reducing the psychophysical efficiency for the driver were regarded as the root cause of accidents. Conducted analyses allowed to effect the preliminary selection of factors, which accepting the wrong level can constitute the cause of accidents.

  14. Latent cluster analysis of ALS phenotypes identifies prognostically differing groups.

    Directory of Open Access Journals (Sweden)

    Jeban Ganesalingam

    2009-09-01

    Full Text Available Amyotrophic lateral sclerosis (ALS is a degenerative disease predominantly affecting motor neurons and manifesting as several different phenotypes. Whether these phenotypes correspond to different underlying disease processes is unknown. We used latent cluster analysis to identify groupings of clinical variables in an objective and unbiased way to improve phenotyping for clinical and research purposes.Latent class cluster analysis was applied to a large database consisting of 1467 records of people with ALS, using discrete variables which can be readily determined at the first clinic appointment. The model was tested for clinical relevance by survival analysis of the phenotypic groupings using the Kaplan-Meier method.The best model generated five distinct phenotypic classes that strongly predicted survival (p<0.0001. Eight variables were used for the latent class analysis, but a good estimate of the classification could be obtained using just two variables: site of first symptoms (bulbar or limb and time from symptom onset to diagnosis (p<0.00001.The five phenotypic classes identified using latent cluster analysis can predict prognosis. They could be used to stratify patients recruited into clinical trials and generating more homogeneous disease groups for genetic, proteomic and risk factor research.

  15. Identifying the Macro-Level Drivers of Adolescent Fertility Rate in Latin America: The Role of School-Based Sexuality Education

    Science.gov (United States)

    Avellaneda, Claudia N.; Dávalos, Eleonora

    2017-01-01

    This study seeks to explain macrolevel drivers of adolescent fertility rate using a panel data set derived from 17 Latin American countries over a period of 16 years (1997-2012). While many studies of adolescent fertility have focused on individual-level explanations, this study explores whether adolescent fertility rate is correlated to…

  16. A GEOSPATIAL ANALYSIS OF THE RELATIONSHIP BETWEEN ENVIRONMENTAL DRIVERS AND VECTOR-BORNE DISEASES

    Directory of Open Access Journals (Sweden)

    MARIA IOANA VLAD-ȘANDRU

    2015-10-01

    Full Text Available A Geospatial Analysis of the Relationship between Environmental Drivers and Vector-Borne Diseases. Human health is profoundly affected by weather and climate. Environmental health is becoming a major preoccupation on a world-wide scale; there is a close correlation between a population’s state of health and the quality of its environment, considering many infectious diseases are at least partly dependent on environmental factors. When we talk about the environment, we realize that it includes and affects fields of action from our daily life. Earth observation from space, with validation from in situ observations, provide a greater understanding of the environment and enable us to monitor and predict key environmental phenomena and events that can affect our livelihoods and health. Even thought, the use of Earth observation is growing in usefulness for a wide variety of uses, it is extremely unlikely that Earth Observation will be able to detect infectious diseases directly. Instead, Earth observation can be used to detect high NDVI index (and possibly attribute the high surface chlorophyll concentration to a particular disease, and help predict the movement of the agents carrying vector-borne disease. Many diseases need certain temperature and moisture conditions to breed. The primary objective of analyzing environmental health risk and vulnerabilities is to support the Development Regions to strengthen their capacity to assess, visualize and analyze health risks and incorporate the results of this analysis in a health risk map for disaster risk reduction, emergency preparedness and response plans. At the same time, such an analysis applied in health, allows starting the collection and homogenization of baseline data, information and maps to help health authorities and decision makers to take informed decisions in times of crises. Informational Health Platform would be used for the integration of data coming from different sources in order to

  17. Identifying Organizational Inefficiencies with Pictorial Process Analysis (PPA

    Directory of Open Access Journals (Sweden)

    David John Patrishkoff

    2013-11-01

    Full Text Available Pictorial Process Analysis (PPA was created by the author in 2004. PPA is a unique methodology which offers ten layers of additional analysis when compared to standard process mapping techniques.  The goal of PPA is to identify and eliminate waste, inefficiencies and risk in manufacturing or transactional business processes at 5 levels in an organization. The highest level being assessed is the process management, followed by the process work environment, detailed work habits, process performance metrics and general attitudes towards the process. This detailed process assessment and analysis is carried out during process improvement brainstorming efforts and Kaizen events. PPA creates a detailed visual efficiency rating for each step of the process under review.  A selection of 54 pictorial Inefficiency Icons (cards are available for use to highlight major inefficiencies and risks that are present in the business process under review. These inefficiency icons were identified during the author's independent research on the topic of why things go wrong in business. This paper will highlight how PPA was developed and show the steps required to conduct Pictorial Process Analysis on a sample manufacturing process. The author has successfully used PPA to dramatically improve business processes in over 55 different industries since 2004.  

  18. Vision based Traffic Sign Detection and Analysis for Intelligent Driver Assistance Systems

    DEFF Research Database (Denmark)

    Møgelmose, Andreas; Trivedi, Mohan M.; Moeslund, Thomas B.

    2012-01-01

    In this paper, we provide a survey of the traffic sign detection literature, detailing detection systems for Traffic Sign Recognition (TSR) for driver assistance. We separately describe the contributions of recent works to the various stages inherent in traffic sign detection: segmentation, featu...... research, including integration of context and localization. We also introduce a new public database containing US traffic signs...

  19. Enhancing digital driver models: identification of distinct postural strategies used by drivers.

    Science.gov (United States)

    Kyung, Gyouhyung; Nussbaum, Maury A; Babski-Reeves, Kari L

    2010-03-01

    Driver workspace design and evaluation is, in part, based on assumed driving postures of users and determines several ergonomic aspects of a vehicle, such as reach, visibility and postural comfort. Accurately predicting and specifying standard driving postures, hence, are necessary to improve the ergonomic quality of the driver workspace. In this study, a statistical clustering approach was employed to reduce driving posture simulation/prediction errors, assuming that drivers use several distinct postural strategies when interacting with automobiles. 2-D driving postures, described by 16 joint angles, were obtained from 38 participants with diverse demographics (age, gender) and anthropometrics (stature, body mass) and in two vehicle classes (sedans and SUVs). Based on the proximity of joint angle sets, cluster analysis yielded three predominant postural strategies in each vehicle class (i.e. 'lower limb flexed', 'upper limb flexed' and 'extended'). Mean angular differences between clusters ranged from 3.8 to 52.4 degrees for the majority of joints, supporting the practical relevance of the distinct clusters. The existence of such postural strategies should be considered when utilising digital human models (DHMs) to enhance and evaluate driver workspace design ergonomically and proactively. STATEMENT OF RELEVANCE: This study identified drivers' distinct postural strategies, based on actual drivers' behaviours. Such strategies can facilitate accurate positioning of DHMs and hence help design ergonomic driver workspaces.

  20. An application of the driver behavior questionnaire to Chinese carless young drivers.

    Science.gov (United States)

    Zhang, Qian; Jiang, Zuhua; Zheng, Dongpeng; Wang, Yifan; Man, Dong

    2013-01-01

    Carless young drivers refers to those drivers aged between 18 and 25 years who have a driver's license but seldom have opportunities to practice their driving skills because they do not have their own cars. Due to China's lower private car ownership, many young drivers turn into carless young drivers after licensure, and the safety issue associated with them has become a matter of great concern in China. Because few studies have examined the driving behaviors of these drivers, this study aims to utilize the Driver Behavior Questionnaire (DBQ) to investigate the self-reported driving behaviors of Chinese carless young drivers. A total of 523 Chinese carless young drivers (214 females, 309 males) with an average age of 21.91 years completed a questionnaire including the 27-item DBQ and demographics. The data were first randomized into 2 subsamples for factor analysis and then combined together for the following analyses. Both an exploratory factor analysis (EFA, n = 174) and a confirmatory factor analysis (CFA, n = 349) were performed to investigate the factor structure of the DBQ. Correlation analysis was conducted to examine the relationships between the demographics and the DBQ scales' variables. Multivariate linear regression and logistic regression were performed to investigate the prediction of the DBQ scales and crash involvement in the previous year. The EFA produced a 4-factor structure identified as errors, violations, attention lapses, and memory lapses, and the CFA revealed a good model fit after the removal of one item with a low factor loading and the permission of the error covariance between some items. The Chinese carless young drivers reported a comparatively low level of aberrant driving behaviors. The 3 most frequently reported behaviors were all lapses and the 3 least were all violations. Gender was the only significant predictor of the 2 lapses scales and lifetime mileage was the only significant predictor of the violations scale. Only the

  1. Rice Transcriptome Analysis to Identify Possible Herbicide Quinclorac Detoxification Genes

    Directory of Open Access Journals (Sweden)

    Wenying eXu

    2015-09-01

    Full Text Available Quinclorac is a highly selective auxin-type herbicide, and is widely used in the effective control of barnyard grass in paddy rice fields, improving the world’s rice yield. The herbicide mode of action of quinclorac has been proposed and hormone interactions affect quinclorac signaling. Because of widespread use, quinclorac may be transported outside rice fields with the drainage waters, leading to soil and water pollution and environmental health problems.In this study, we used 57K Affymetrix rice whole-genome array to identify quinclorac signaling response genes to study the molecular mechanisms of action and detoxification of quinclorac in rice plants. Overall, 637 probe sets were identified with differential expression levels under either 6 or 24 h of quinclorac treatment. Auxin-related genes such as GH3 and OsIAAs responded to quinclorac treatment. Gene Ontology analysis showed that genes of detoxification-related family genes were significantly enriched, including cytochrome P450, GST, UGT, and ABC and drug transporter genes. Moreover, real-time RT-PCR analysis showed that top candidate P450 families such as CYP81, CYP709C and CYP72A genes were universally induced by different herbicides. Some Arabidopsis genes for the same P450 family were up-regulated under quinclorac treatment.We conduct rice whole-genome GeneChip analysis and the first global identification of quinclorac response genes. This work may provide potential markers for detoxification of quinclorac and biomonitors of environmental chemical pollution.

  2. Proteogenomic Analysis Identifies a Novel Human SHANK3 Isoform

    Directory of Open Access Journals (Sweden)

    Fahad Benthani

    2015-05-01

    Full Text Available Mutations of the SHANK3 gene have been associated with autism spectrum disorder. Individuals harboring different SHANK3 mutations display considerable heterogeneity in their cognitive impairment, likely due to the high SHANK3 transcriptional diversity. In this study, we report a novel interaction between the Mutated in colorectal cancer (MCC protein and a newly identified SHANK3 protein isoform in human colon cancer cells and mouse brain tissue. Hence, our proteogenomic analysis identifies a new human long isoform of the key synaptic protein SHANK3 that was not predicted by the human reference genome. Taken together, our findings describe a potential new role for MCC in neurons, a new human SHANK3 long isoform and, importantly, highlight the use of proteomic data towards the re-annotation of GC-rich genomic regions.

  3. Parameter trajectory analysis to identify treatment effects of pharmacological interventions.

    Directory of Open Access Journals (Sweden)

    Christian A Tiemann

    Full Text Available The field of medical systems biology aims to advance understanding of molecular mechanisms that drive disease progression and to translate this knowledge into therapies to effectively treat diseases. A challenging task is the investigation of long-term effects of a (pharmacological treatment, to establish its applicability and to identify potential side effects. We present a new modeling approach, called Analysis of Dynamic Adaptations in Parameter Trajectories (ADAPT, to analyze the long-term effects of a pharmacological intervention. A concept of time-dependent evolution of model parameters is introduced to study the dynamics of molecular adaptations. The progression of these adaptations is predicted by identifying necessary dynamic changes in the model parameters to describe the transition between experimental data obtained during different stages of the treatment. The trajectories provide insight in the affected underlying biological systems and identify the molecular events that should be studied in more detail to unravel the mechanistic basis of treatment outcome. Modulating effects caused by interactions with the proteome and transcriptome levels, which are often less well understood, can be captured by the time-dependent descriptions of the parameters. ADAPT was employed to identify metabolic adaptations induced upon pharmacological activation of the liver X receptor (LXR, a potential drug target to treat or prevent atherosclerosis. The trajectories were investigated to study the cascade of adaptations. This provided a counter-intuitive insight concerning the function of scavenger receptor class B1 (SR-B1, a receptor that facilitates the hepatic uptake of cholesterol. Although activation of LXR promotes cholesterol efflux and -excretion, our computational analysis showed that the hepatic capacity to clear cholesterol was reduced upon prolonged treatment. This prediction was confirmed experimentally by immunoblotting measurements of SR-B1

  4. An epidemiologic survey of road traffic accidents in Iran: analysis of driver-related factors

    Directory of Open Access Journals (Sweden)

    Moafian Ghasem

    2013-06-01

    Full Text Available 【Abstract】Objective: Road traffic accident (RTA and its related injuries contribute to a significant portion of the burden of diseases in Iran. This paper explores the as-sociation between driver-related factors and RTA in the country. Methods: This cross-sectional study was conducted in Iran and all data regarding RTAs from March 20, 2010 to June 10, 2010 were obtained from the Traffic Police Department. We included 538 588 RTA records, which were classified to control for the main confounders: accident type, final cause of accident, time of accident and driver-related factors. Driver-related factors included sex, educational level, license type, type of injury, duration between accident and getting the driving license and driver’s error type. Results: A total of 538 588 drivers (91.83% male, sex ratio of almost 13:1 were involved in the RTAs. Among them 423 932 (78.71% were uninjured; 224 818 (41.74% had a diploma degree. Grade 2 driving license represented the highest proportion of all driving licenses (290 811, 54.00%. The greatest number of accidents took place at 12:00-13:59 (75 024, 13.93%. The proportion of drivers involved in RTAs decreased from 15.90% in the first year of getting a driving license to 3.13% after 10 years’ of driving experience. Ne-glect of regulations was the commonest cause of traffic crashes (345 589, 64.17%. Non-observance of priority and inattention to the front were the most frequent final causes of death (138 175, 25.66% and 129 352, 24.02%, respectively. We found significant association between type of acci-dent and sex, education, license type, time of accident, final cause of accident, driver’s error as well as duration between accident and getting the driving license (all P<0.001. Conclusion: Our results will improve the traffic law enforcement measures, which will change inappropriate be-havior of drivers and protect the least experienced road users. Key words: Accidents, traffic; Automobile

  5. Lidar point density analysis: implications for identifying water bodies

    Science.gov (United States)

    Worstell, Bruce B.; Poppenga, Sandra K.; Evans, Gayla A.; Prince, Sandra

    2014-01-01

    Most airborne topographic light detection and ranging (lidar) systems operate within the near-infrared spectrum. Laser pulses from these systems frequently are absorbed by water and therefore do not generate reflected returns on water bodies in the resulting void regions within the lidar point cloud. Thus, an analysis of lidar voids has implications for identifying water bodies. Data analysis techniques to detect reduced lidar return densities were evaluated for test sites in Blackhawk County, Iowa, and Beltrami County, Minnesota, to delineate contiguous areas that have few or no lidar returns. Results from this study indicated a 5-meter radius moving window with fewer than 23 returns (28 percent of the moving window) was sufficient for delineating void regions. Techniques to provide elevation values for void regions to flatten water features and to force channel flow in the downstream direction also are presented.

  6. Identifying radiotherapy target volumes in brain cancer by image analysis.

    Science.gov (United States)

    Cheng, Kun; Montgomery, Dean; Feng, Yang; Steel, Robin; Liao, Hanqing; McLaren, Duncan B; Erridge, Sara C; McLaughlin, Stephen; Nailon, William H

    2015-10-01

    To establish the optimal radiotherapy fields for treating brain cancer patients, the tumour volume is often outlined on magnetic resonance (MR) images, where the tumour is clearly visible, and mapped onto computerised tomography images used for radiotherapy planning. This process requires considerable clinical experience and is time consuming, which will continue to increase as more complex image sequences are used in this process. Here, the potential of image analysis techniques for automatically identifying the radiation target volume on MR images, and thereby assisting clinicians with this difficult task, was investigated. A gradient-based level set approach was applied on the MR images of five patients with grades II, III and IV malignant cerebral glioma. The relationship between the target volumes produced by image analysis and those produced by a radiation oncologist was also investigated. The contours produced by image analysis were compared with the contours produced by an oncologist and used for treatment. In 93% of cases, the Dice similarity coefficient was found to be between 60 and 80%. This feasibility study demonstrates that image analysis has the potential for automatic outlining in the management of brain cancer patients, however, more testing and validation on a much larger patient cohort is required.

  7. Using lexical analysis to identify emotional distress in psychometric schizotypy.

    Science.gov (United States)

    Abplanalp, Samuel J; Buck, Benjamin; Gonzenbach, Virgilio; Janela, Carlos; Lysaker, Paul H; Minor, Kyle S

    2017-09-01

    Through the use of lexical analysis software, researchers have demonstrated a greater frequency of negative affect word use in those with schizophrenia and schizotypy compared to the general population. In addition, those with schizotypy endorse greater emotional distress than healthy controls. In this study, our aim was to expand on previous findings in schizotypy to determine whether negative affect word use could be linked to emotional distress. Schizotypy (n=33) and non-schizotypy groups (n=33) completed an open-ended, semi-structured interview and negative affect word use was analyzed using a validated lexical analysis instrument. Emotional distress was assessed using subjective questionnaires of depression and psychological quality of life (QOL). When groups were compared, those with schizotypy used significantly more negative affect words; endorsed greater depression; and reported lower QOL. Within schizotypy, a trend level association between depression and negative affect word use was observed; QOL and negative affect word use showed a significant inverse association. Our findings offer preliminary evidence of the potential effectiveness of lexical analysis as an objective, behavior-based method for identifying emotional distress throughout the schizophrenia-spectrum. Utilizing lexical analysis in schizotypy offers promise for providing researchers with an assessment capable of objectively detecting emotional distress. Copyright © 2017 Elsevier Ireland Ltd. All rights reserved.

  8. Global Changes and Drivers of the Water Footprint of Food Consumption: A Historical Analysis

    Directory of Open Access Journals (Sweden)

    Chen Yang

    2014-05-01

    Full Text Available Water is one of the most important limiting resources for food production. How much water is needed for food depends on the size of the population, average food consumption patterns and food production per unit of water. These factors show large differences around the world. This paper analyzes sub-continental dynamics of the water footprint of consumption (WFcons for the prevailing diets from 1961 to 2009 using data from the Food and Agriculture Organization (FAO. The findings show that, in most regions, the water needed to feed one person decreased even if diets became richer, because of the increase in water use efficiency in food production during the past half-century. The logarithmic mean Divisia index (LMDI decomposition approach is used to analyze the contributions of the major drivers of WFcons for food: population, diet and agricultural practices (output per unit of water. We compare the contributions of these drivers through different subcontinents, and find that population growth still was the major driver behind increasing WFcons for food until now and that potential water savings through agricultural practice improvements were offset by population growth and diet change. The changes of the factors mentioned above were the largest in most developing areas with rapid economic development. With the development of globalization, the international food trade has brought more and more water savings in global water use over time. The results indicate that, in the near future and in many regions, diet change is likely to override population growth as the major driver behind WFcons for food.

  9. Use of discriminant analysis to identify propensity for purchasing properties

    Directory of Open Access Journals (Sweden)

    Ricardo Floriani

    2015-03-01

    Full Text Available Properties usually represent a milestone for people and families due to the high added-value when compared with family income. The objective of this study is the proposition of a discrimination model, by a discriminant analysis of people with characteristics (according to independent variables classified as potential buyers of properties, as well as to identify the interest in the use of such property, if it will be assigned to housing or leisure activities such as a cottage or beach house, and/or for investment. Thus, the following research question is proposed: What are the characteristics that better describe the profile of people which intend to acquire properties? The study justifies itself by its economic relevance in the real estate industry, as well as to the players of the real estate Market that may develop products based on the profile of potential customers. As a statistical technique, discriminant analysis was applied to the data gathered by questionnaire, which was sent via e-mail. Three hundred and thirty four responses were gathered. Based on this study, it was observed that it is possible to identify the intention for acquired properties, as well the purpose for acquiring it, for housing or investments.

  10. Cluster analysis of clinical data identifies fibromyalgia subgroups.

    Directory of Open Access Journals (Sweden)

    Elisa Docampo

    Full Text Available INTRODUCTION: Fibromyalgia (FM is mainly characterized by widespread pain and multiple accompanying symptoms, which hinder FM assessment and management. In order to reduce FM heterogeneity we classified clinical data into simplified dimensions that were used to define FM subgroups. MATERIAL AND METHODS: 48 variables were evaluated in 1,446 Spanish FM cases fulfilling 1990 ACR FM criteria. A partitioning analysis was performed to find groups of variables similar to each other. Similarities between variables were identified and the variables were grouped into dimensions. This was performed in a subset of 559 patients, and cross-validated in the remaining 887 patients. For each sample and dimension, a composite index was obtained based on the weights of the variables included in the dimension. Finally, a clustering procedure was applied to the indexes, resulting in FM subgroups. RESULTS: VARIABLES CLUSTERED INTO THREE INDEPENDENT DIMENSIONS: "symptomatology", "comorbidities" and "clinical scales". Only the two first dimensions were considered for the construction of FM subgroups. Resulting scores classified FM samples into three subgroups: low symptomatology and comorbidities (Cluster 1, high symptomatology and comorbidities (Cluster 2, and high symptomatology but low comorbidities (Cluster 3, showing differences in measures of disease severity. CONCLUSIONS: We have identified three subgroups of FM samples in a large cohort of FM by clustering clinical data. Our analysis stresses the importance of family and personal history of FM comorbidities. Also, the resulting patient clusters could indicate different forms of the disease, relevant to future research, and might have an impact on clinical assessment.

  11. Proteomic Analysis of the Soybean Symbiosome Identifies New Symbiotic Proteins*

    Science.gov (United States)

    Clarke, Victoria C.; Loughlin, Patrick C.; Gavrin, Aleksandr; Chen, Chi; Brear, Ella M.; Day, David A.; Smith, Penelope M.C.

    2015-01-01

    Legumes form a symbiosis with rhizobia in which the plant provides an energy source to the rhizobia bacteria that it uses to fix atmospheric nitrogen. This nitrogen is provided to the legume plant, allowing it to grow without the addition of nitrogen fertilizer. As part of the symbiosis, the bacteria in the infected cells of a new root organ, the nodule, are surrounded by a plant-derived membrane, the symbiosome membrane, which becomes the interface between the symbionts. Fractions containing the symbiosome membrane (SM) and material from the lumen of the symbiosome (peribacteroid space or PBS) were isolated from soybean root nodules and analyzed using nongel proteomic techniques. Bicarbonate stripping and chloroform-methanol extraction of isolated SM were used to reduce complexity of the samples and enrich for hydrophobic integral membrane proteins. One hundred and ninety-seven proteins were identified as components of the SM, with an additional fifteen proteins identified from peripheral membrane and PBS protein fractions. Proteins involved in a range of cellular processes such as metabolism, protein folding and degradation, membrane trafficking, and solute transport were identified. These included a number of proteins previously localized to the SM, such as aquaglyceroporin nodulin 26, sulfate transporters, remorin, and Rab7 homologs. Among the proteome were a number of putative transporters for compounds such as sulfate, calcium, hydrogen ions, peptide/dicarboxylate, and nitrate, as well as transporters for which the substrate is not easy to predict. Analysis of the promoter activity for six genes encoding putative SM proteins showed nodule specific expression, with five showing expression only in infected cells. Localization of two proteins was confirmed using GFP-fusion experiments. The data have been deposited to the ProteomeXchange with identifier PXD001132. This proteome will provide a rich resource for the study of the legume-rhizobium symbiosis. PMID

  12. Distribution and drivers of costs in type 2 diabetes mellitus treated with oral hypoglycemic agents: a retrospective claims data analysis.

    Science.gov (United States)

    Bron, Morgan; Guerin, Annie; Latremouille-Viau, Dominick; Ionescu-Ittu, Raluca; Viswanathan, Prabhakar; Lopez, Claudia; Wu, Eric Q

    2014-09-01

    To describe the distribution of costs and to identify the drivers of high costs among adult patients with type 2 diabetes mellitus (T2DM) receiving oral hypoglycemic agents. T2DM patients using oral hypoglycemic agents and having HbA1c test data were identified from the Truven MarketScan databases of Commercial and Medicare Supplemental insurance claims (2004-2010). All-cause and diabetes-related annual direct healthcare costs were measured and reported by cost components. The 25% most costly patients in the study sample were defined as high-cost patients. Drivers of high costs were identified in multivariate logistic regressions. Total 1-year all-cause costs for the 4104 study patients were $55,599,311 (mean cost per patient = $13,548). Diabetes-related costs accounted for 33.8% of all-cause costs (mean cost per patient = $4583). Medical service costs accounted for the majority of all-cause and diabetes-related total costs (63.7% and 59.5%, respectively), with a minority of patients incurring >80% of these costs (23.5% and 14.7%, respectively). Within the medical claims, inpatient admission for diabetes-complications was the strongest cost driver for both all-cause (OR = 13.5, 95% CI = 8.1-23.6) and diabetes-related costs (OR = 9.7, 95% CI = 6.3-15.1), with macrovascular complications accounting for most inpatient admissions. Other cost drivers included heavier hypoglycemic agent use, diabetes complications, and chronic diseases. The study reports a conservative estimate for the relative share of diabetes-related costs relative to total cost. The findings of this study apply mainly to T2DM patients under 65 years of age. Among the T2DM patients receiving oral hypoglycemic agents, 23.5% of patients incurred 80% of the all-cause healthcare costs, with these costs being driven by inpatient admissions, complications of diabetes, and chronic diseases. Interventions targeting inpatient admissions and/or complications of diabetes may contribute to the decrease of the

  13. Detection of Driver Drowsiness Using Wavelet Analysis of Heart Rate Variability and a Support Vector Machine Classifier

    Directory of Open Access Journals (Sweden)

    Gang Li

    2013-12-01

    Full Text Available Driving while fatigued is just as dangerous as drunk driving and may result in car accidents. Heart rate variability (HRV analysis has been studied recently for the detection of driver drowsiness. However, the detection reliability has been lower than anticipated, because the HRV signals of drivers were always regarded as stationary signals. The wavelet transform method is a method for analyzing non-stationary signals. The aim of this study is to classify alert and drowsy driving events using the wavelet transform of HRV signals over short time periods and to compare the classification performance of this method with the conventional method that uses fast Fourier transform (FFT-based features. Based on the standard shortest duration for FFT-based short-term HRV evaluation, the wavelet decomposition is performed on 2-min HRV samples, as well as 1-min and 3-min samples for reference purposes. A receiver operation curve (ROC analysis and a support vector machine (SVM classifier are used for feature selection and classification, respectively. The ROC analysis results show that the wavelet-based method performs better than the FFT-based method regardless of the duration of the HRV sample that is used. Finally, based on the real-time requirements for driver drowsiness detection, the SVM classifier is trained using eighty FFT and wavelet-based features that are extracted from 1-min HRV signals from four subjects. The averaged leave-one-out (LOO classification performance using wavelet-based feature is 95% accuracy, 95% sensitivity, and 95% specificity. This is better than the FFT-based results that have 68.8% accuracy, 62.5% sensitivity, and 75% specificity. In addition, the proposed hardware platform is inexpensive and easy-to-use.

  14. Spatial analysis to identify disparities in Philippine public school facilities

    Directory of Open Access Journals (Sweden)

    Ligaya Leah Figueroa

    2016-01-01

    Full Text Available This paper addresses the issues that affect school building conditions as a case study of the Philippines. Geographic information systems were utilized to investigate the allocation of public school resources and the extent of disparity in education facilities among 75 Philippine provinces. Four clusters of the provinces were identified by applying spatial statistics and regionalization techniques to the public school data. Overall, the building conditions are of high quality in the northern provinces. The greater region of the capital is overcrowded but well maintained. The eastern seaboard region and the southern provinces have poor conditions due to frequent natural calamities and the prolonged civil unrest, respectively. Since the spatial analysis result shows that the school building requirements are largely unmet, some recommendations are proposed so that they can be implemented by the government in order to improve the school facilities and mitigate the existing disparities among the four clusters of the Philippines.

  15. Cluster Analysis of Clinical Data Identifies Fibromyalgia Subgroups

    Science.gov (United States)

    Docampo, Elisa; Collado, Antonio; Escaramís, Geòrgia; Carbonell, Jordi; Rivera, Javier; Vidal, Javier; Alegre, José

    2013-01-01

    Introduction Fibromyalgia (FM) is mainly characterized by widespread pain and multiple accompanying symptoms, which hinder FM assessment and management. In order to reduce FM heterogeneity we classified clinical data into simplified dimensions that were used to define FM subgroups. Material and Methods 48 variables were evaluated in 1,446 Spanish FM cases fulfilling 1990 ACR FM criteria. A partitioning analysis was performed to find groups of variables similar to each other. Similarities between variables were identified and the variables were grouped into dimensions. This was performed in a subset of 559 patients, and cross-validated in the remaining 887 patients. For each sample and dimension, a composite index was obtained based on the weights of the variables included in the dimension. Finally, a clustering procedure was applied to the indexes, resulting in FM subgroups. Results Variables clustered into three independent dimensions: “symptomatology”, “comorbidities” and “clinical scales”. Only the two first dimensions were considered for the construction of FM subgroups. Resulting scores classified FM samples into three subgroups: low symptomatology and comorbidities (Cluster 1), high symptomatology and comorbidities (Cluster 2), and high symptomatology but low comorbidities (Cluster 3), showing differences in measures of disease severity. Conclusions We have identified three subgroups of FM samples in a large cohort of FM by clustering clinical data. Our analysis stresses the importance of family and personal history of FM comorbidities. Also, the resulting patient clusters could indicate different forms of the disease, relevant to future research, and might have an impact on clinical assessment. PMID:24098674

  16. Using regulatory and epistatic networks to extend the findings of a genome scan: identifying the gene drivers of pigmentation in merino sheep.

    Directory of Open Access Journals (Sweden)

    Elsa García-Gámez

    Full Text Available Extending genome wide association analysis by the inclusion of gene expression data may assist in the dissection of complex traits. We examined piebald, a pigmentation phenotype in both human and Merino sheep, by analysing multiple data types using a systems approach. First, a case control analysis of 49,034 ovine SNP was performed which confirmed a multigenic basis for the condition. We combined these results with gene expression data from five tissue types analysed with a skin-specific microarray. Promoter sequence analysis of differentially expressed genes allowed us to reverse-engineer a regulatory network. Likewise, by testing two-loci models derived from all pair-wise comparisons across piebald-associated SNP, we generated an epistatic network. At the intersection of both networks, we identified thirteen genes with insulin-like growth factor binding protein 7 (IGFBP7, platelet-derived growth factor alpha (PDGFRA and the tetraspanin platelet activator CD9 at the kernel of the intersection. Further, we report a number of differentially expressed genes in regions containing highly associated SNP including ATRN, DOCK7, FGFR1OP, GLI3, SILV and TBX15. The application of network theory facilitated co-analysis of genetic variation with gene expression, recapitulated aspects of the known molecular biology of skin pigmentation and provided insights into the transcription regulation and epistatic interactions involved in piebald Merino sheep.

  17. Social Network Analysis Identifies Key Participants in Conservation Development.

    Science.gov (United States)

    Farr, Cooper M; Reed, Sarah E; Pejchar, Liba

    2018-03-03

    Understanding patterns of participation in private lands conservation, which is often implemented voluntarily by individual citizens and private organizations, could improve its effectiveness at combating biodiversity loss. We used social network analysis (SNA) to examine participation in conservation development (CD), a private land conservation strategy that clusters houses in a small portion of a property while preserving the remaining land as protected open space. Using data from public records for six counties in Colorado, USA, we compared CD participation patterns among counties and identified actors that most often work with others to implement CDs. We found that social network characteristics differed among counties. The network density, or proportion of connections in the network, varied from fewer than 2 to nearly 15%, and was higher in counties with smaller populations and fewer CDs. Centralization, or the degree to which connections are held disproportionately by a few key actors, was not correlated strongly with any county characteristics. Network characteristics were not correlated with the prevalence of wildlife-friendly design features in CDs. The most highly connected actors were biological and geological consultants, surveyors, and engineers. Our work demonstrates a new application of SNA to land-use planning, in which CD network patterns are examined and key actors are identified. For better conservation outcomes of CD, we recommend using network patterns to guide strategies for outreach and information dissemination, and engaging with highly connected actor types to encourage widespread adoption of best practices for CD design and stewardship.

  18. Network Analysis Identifies Disease-Specific Pathways for Parkinson's Disease.

    Science.gov (United States)

    Monti, Chiara; Colugnat, Ilaria; Lopiano, Leonardo; Chiò, Adriano; Alberio, Tiziana

    2018-01-01

    Neurodegenerative diseases are characterized by the progressive loss of specific neurons in selected regions of the central nervous system. The main clinical manifestation (movement disorders, cognitive impairment, and/or psychiatric disturbances) depends on the neuron population being primarily affected. Parkinson's disease is a common movement disorder, whose etiology remains mostly unknown. Progressive loss of dopaminergic neurons in the substantia nigra causes an impairment of the motor control. Some of the pathogenetic mechanisms causing the progressive deterioration of these neurons are not specific for Parkinson's disease but are shared by other neurodegenerative diseases, like Alzheimer's disease and amyotrophic lateral sclerosis. Here, we performed a meta-analysis of the literature of all the quantitative proteomic investigations of neuronal alterations in different models of Parkinson's disease, Alzheimer's disease, and amyotrophic lateral sclerosis to distinguish between general and Parkinson's disease-specific pattern of neurodegeneration. Then, we merged proteomics data with genetics information from the DisGeNET database. The comparison of gene and protein information allowed us to identify 25 proteins involved uniquely in Parkinson's disease and we verified the alteration of one of them, i.e., transaldolase 1 (TALDO1), in the substantia nigra of 5 patients. By using open-source bioinformatics tools, we identified the biological processes specifically affected in Parkinson's disease, i.e., proteolysis, mitochondrion organization, and mitophagy. Eventually, we highlighted four cellular component complexes mostly involved in the pathogenesis: the proteasome complex, the protein phosphatase 2A, the chaperonins CCT complex, and the complex III of the respiratory chain.

  19. Advanced driver assistance systems for teen drivers: Teen and parent impressions, perceived need, and intervention preferences.

    Science.gov (United States)

    Weiss, Eve; Fisher Thiel, Megan; Sultana, Nahida; Hannan, Chloe; Seacrist, Thomas

    2018-02-28

    From the advent of airbags to electronic stability control, technological advances introduced into automobile design have significantly reduced injury and death from motor vehicle crashes. These advances are especially pertinent among teen drivers, a population whose leading cause of death is motor vehicle crashes. Recently developed advanced driver assistance systems (ADAS) have the potential to compensate for skill deficits and reduce overall crash risk. Yet, ADAS is only effective if drivers are willing to use it. Limited research has been conducted on the suitability of ADAS for teen drivers. The goal of this study is to identify teen drivers' perceived need for ADAS, receptiveness to in-vehicle technology, and intervention preferences. The long-term goal is to understand public perceptions and barriers to ADAS use and to help determine how these systems must evolve to meet the needs of the riskiest driving populations. Three focus groups (N = 24) were conducted with licensed teen drivers aged 16-19 years and 2 focus groups with parents of teen drivers (N = 12). Discussion topics included views on how ADAS might influence driving skills and behaviors; trust in technology; and data privacy. Discussions were transcribed; the team used conventional content analysis and open coding methods to identify 12 coding domains and code transcripts with NVivo 10. Interrater reliability testing showed moderate to high kappa scores. Overall, participants recognized potential benefits of ADAS, including improved safety and crash reduction. Teens suggested that ADAS is still developing and therefore has potential to malfunction. Many teens reported a greater trust in their own driving ability over vehicle technology. They expressed that novice drivers should learn to drive on non-ADAS-equipped cars and that ADAS should be considered a supplemental aid. Many teens felt that overreliance on ADAS may increase distracted driving or risky behaviors among teens. Parents also

  20. Older drivers' foot movements : traffic tech.

    Science.gov (United States)

    2017-07-01

    This study explored how older drivers use their accelerator and : brake pedals, to identify characteristics that could pose an increased : risk of a pedal application error. The study also explored whether : driver-vehicle fit was related to these ch...

  1. Performance Analysis: Work Control Events Identified January - August 2010

    Energy Technology Data Exchange (ETDEWEB)

    De Grange, C E; Freeman, J W; Kerr, C E; Holman, G; Marsh, K; Beach, R

    2011-01-14

    This performance analysis evaluated 24 events that occurred at LLNL from January through August 2010. The analysis identified areas of potential work control process and/or implementation weaknesses and several common underlying causes. Human performance improvement and safety culture factors were part of the causal analysis of each event and were analyzed. The collective significance of all events in 2010, as measured by the occurrence reporting significance category and by the proportion of events that have been reported to the DOE ORPS under the ''management concerns'' reporting criteria, does not appear to have increased in 2010. The frequency of reporting in each of the significance categories has not changed in 2010 compared to the previous four years. There is no change indicating a trend in the significance category and there has been no increase in the proportion of occurrences reported in the higher significance category. Also, the frequency of events, 42 events reported through August 2010, is not greater than in previous years and is below the average of 63 occurrences per year at LLNL since 2006. Over the previous four years, an average of 43% of the LLNL's reported occurrences have been reported as either ''management concerns'' or ''near misses.'' In 2010, 29% of the occurrences have been reported as ''management concerns'' or ''near misses.'' This rate indicates that LLNL is now reporting fewer ''management concern'' and ''near miss'' occurrences compared to the previous four years. From 2008 to the present, LLNL senior management has undertaken a series of initiatives to strengthen the work planning and control system with the primary objective to improve worker safety. In 2008, the LLNL Deputy Director established the Work Control Integrated Project Team to develop the core requirements and graded

  2. Driver braking behavior analysis to improve autonomous emergency braking systems in typical Chinese vehicle-bicycle conflicts.

    Science.gov (United States)

    Duan, Jingliang; Li, Renjie; Hou, Lian; Wang, Wenjun; Li, Guofa; Li, Shengbo Eben; Cheng, Bo; Gao, Hongbo

    2017-11-01

    Bicycling is one of the fundamental modes of transportation especially in developing countries. Because of the lack of effective protection for bicyclists, vehicle-bicycle (V-B) accident has become a primary contributor to traffic fatalities. Although AEB (Autonomous Emergency Braking) systems have been developed to avoid or mitigate collisions, they need to be further adapted in various conflict situations. This paper analyzes the driver's braking behavior in typical V-B conflicts of China to improve the performance of Bicyclist-AEB systems. Naturalistic driving data were collected, from which the top three scenarios of V-B accidents in China were extracted, including SCR (a bicycle crossing the road from right while a car is driving straight), SCL (a bicycle crossing the road from left while a car is driving straight) and SSR (a bicycle swerving in front of the car from right while a car is driving straight). For safety and data reliability, a driving simulator was employed to reconstruct these three scenarios and some 25 licensed drivers were recruited for braking behavior analysis. Results revealed that driver's braking behavior was significantly influenced by V-B conflict types. Pre-decelerating behaviors were found in SCL and SSR conflicts, whereas in SCR the subjects were less vigilant. The brake reaction time and brake severity in lateral V-B conflicts (SCR and SCL) was shorter and higher than that in longitudinal conflicts (SSR). The findings improve their applications in the Bicyclist-AEB and test protocol enactment to enhance the performance of Bicyclist-AEB systems in mixed traffic situations especially for developing countries. Copyright © 2017 Elsevier Ltd. All rights reserved.

  3. Behavioral metabolomics analysis identifies novel neurochemical signatures in methamphetamine sensitization

    Science.gov (United States)

    Adkins, Daniel E.; McClay, Joseph L.; Vunck, Sarah A.; Batman, Angela M.; Vann, Robert E.; Clark, Shaunna L.; Souza, Renan P.; Crowley, James J.; Sullivan, Patrick F.; van den Oord, Edwin J.C.G.; Beardsley, Patrick M.

    2014-01-01

    Behavioral sensitization has been widely studied in animal models and is theorized to reflect neural modifications associated with human psychostimulant addiction. While the mesolimbic dopaminergic pathway is known to play a role, the neurochemical mechanisms underlying behavioral sensitization remain incompletely understood. In the present study, we conducted the first metabolomics analysis to globally characterize neurochemical differences associated with behavioral sensitization. Methamphetamine-induced sensitization measures were generated by statistically modeling longitudinal activity data for eight inbred strains of mice. Subsequent to behavioral testing, nontargeted liquid and gas chromatography-mass spectrometry profiling was performed on 48 brain samples, yielding 301 metabolite levels per sample after quality control. Association testing between metabolite levels and three primary dimensions of behavioral sensitization (total distance, stereotypy and margin time) showed four robust, significant associations at a stringent metabolome-wide significance threshold (false discovery rate < 0.05). Results implicated homocarnosine, a dipeptide of GABA and histidine, in total distance sensitization, GABA metabolite 4-guanidinobutanoate and pantothenate in stereotypy sensitization, and myo-inositol in margin time sensitization. Secondary analyses indicated that these associations were independent of concurrent methamphetamine levels and, with the exception of the myo-inositol association, suggest a mechanism whereby strain-based genetic variation produces specific baseline neurochemical differences that substantially influence the magnitude of MA-induced sensitization. These findings demonstrate the utility of mouse metabolomics for identifying novel biomarkers, and developing more comprehensive neurochemical models, of psychostimulant sensitization. PMID:24034544

  4. A Sensitivity Analysis Approach to Identify Key Environmental Performance Factors

    Directory of Open Access Journals (Sweden)

    Xi Yu

    2014-01-01

    Full Text Available Life cycle assessment (LCA is widely used in design phase to reduce the product’s environmental impacts through the whole product life cycle (PLC during the last two decades. The traditional LCA is restricted to assessing the environmental impacts of a product and the results cannot reflect the effects of changes within the life cycle. In order to improve the quality of ecodesign, it is a growing need to develop an approach which can reflect the changes between the design parameters and product’s environmental impacts. A sensitivity analysis approach based on LCA and ecodesign is proposed in this paper. The key environmental performance factors which have significant influence on the products’ environmental impacts can be identified by analyzing the relationship between environmental impacts and the design parameters. Users without much environmental knowledge can use this approach to determine which design parameter should be first considered when (redesigning a product. A printed circuit board (PCB case study is conducted; eight design parameters are chosen to be analyzed by our approach. The result shows that the carbon dioxide emission during the PCB manufacture is highly sensitive to the area of PCB panel.

  5. A comparative analysis of major drivers for environmental management in SMEs: legislation, b2b relationships and stakeholder pressures

    International Nuclear Information System (INIS)

    Kolachi, N.A.

    2005-01-01

    Since the study of Environmental Management and Small Medium Enterprises is not new area but research con Environmental Management in SMEs has a very little theoretical or empirical work on the topic. But now, due to the magnitude and growth in SMEs opportunities, the need for such studies has become very important. With regard to such research on the above topic, this research paper has identified some crucial research issues regarding the drivel and barriers of Environmental Management in SMEs. This paper reports on a study of Environmental Management, attitudes and perceptions of SMEs toward Environmental Management issues. As environmental initiatives in SMEs are, however, often inhibited by lack of resources, capacity and capability, an effort has been made in exploring the factors of such resources. Companies are facing increasing demand concerning the environmental performance of their products. The thinking of product life cycle requires the main contractors to be aware of environmental aspects of their products with in the whole value chain. This study will also focus on such value chains. In this paper, the tools are identified which small firms use to improve environmental performance. The paper also focuses on some crucial drivers and barriers for the uptake of Environmental Management tools just to identify the environmental impacts. In addition, it evaluates some threats such as trade, supply chain issues an legislation compliance in general. Moreover, this paper comprises on five major sections: First part is about the general discussion on Environmental Management, Second is about SMEs, its concept and its pertinent points towards Environmental Management, Third is regarding the integration of SMEs to Environmental Management tools, Fourth is mainly about the major drivers a legislation, business to business relationships and stakeholder pressures, Fifth part focuses on common characteristics of SMEs regarding environmental legislation to control

  6. Analysis of oil export dependency of MENA countries: Drivers, trends and prospects

    Energy Technology Data Exchange (ETDEWEB)

    Bhattacharyya, Subhes C.; Blake, Andon [CEPMLP, University of Dundee, Dundee DD1 4HN, Scotland (United Kingdom)

    2010-02-15

    The purpose of this paper is to analyse how oil export dependencies of Middle East and North African (MENA) oil producers have evolved over the past two decades and to identify the main driving factors from an energy policy perspective. The paper expresses the oil export dependency of each economy in terms of a multiplicative identity that captures effective export price, export to primary oil supply ratio, oil dependency and oil export intensity of the country. Using the data for 1980-2006, the evolution in these factors is investigated for seven MENA countries and the influence of the above factors is decomposed using the Laspeyres index. The analysis shows that energy price and increasing energy intensity in the MENA countries have influenced the overall oil export dependency. Reducing the energy intensity can improve oil export revenue share to GDP by 5-10% in most of the countries while Iran can gain significantly by increasing its export volume. (author)

  7. Analysis of oil export dependency of MENA countries: Drivers, trends and prospects

    International Nuclear Information System (INIS)

    Bhattacharyya, Subhes C.; Blake, Andon

    2010-01-01

    The purpose of this paper is to analyse how oil export dependencies of Middle East and North African (MENA) oil producers have evolved over the past two decades and to identify the main driving factors from an energy policy perspective. The paper expresses the oil export dependency of each economy in terms of a multiplicative identity that captures effective export price, export to primary oil supply ratio, oil dependency and oil export intensity of the country. Using the data for 1980-2006, the evolution in these factors is investigated for seven MENA countries and the influence of the above factors is decomposed using the Laspeyres index. The analysis shows that energy price and increasing energy intensity in the MENA countries have influenced the overall oil export dependency. Reducing the energy intensity can improve oil export revenue share to GDP by 5-10% in most of the countries while Iran can gain significantly by increasing its export volume.

  8. Monte Carlo Analysis as a Trajectory Design Driver for the TESS Mission

    Science.gov (United States)

    Nickel, Craig; Lebois, Ryan; Lutz, Stephen; Dichmann, Donald; Parker, Joel

    2016-01-01

    The Transiting Exoplanet Survey Satellite (TESS) will be injected into a highly eccentric Earth orbit and fly 3.5 phasing loops followed by a lunar flyby to enter a mission orbit with lunar 2:1 resonance. Through the phasing loops and mission orbit, the trajectory is significantly affected by lunar and solar gravity. We have developed a trajectory design to achieve the mission orbit and meet mission constraints, including eclipse avoidance and a 30-year geostationary orbit avoidance requirement. A parallelized Monte Carlo simulation was performed to validate the trajectory after injecting common perturbations, including launch dispersions, orbit determination errors, and maneuver execution errors. The Monte Carlo analysis helped identify mission risks and is used in the trajectory selection process.

  9. Monte Carlo Analysis as a Trajectory Design Driver for the Transiting Exoplanet Survey Satellite (TESS) Mission

    Science.gov (United States)

    Nickel, Craig; Parker, Joel; Dichmann, Don; Lebois, Ryan; Lutz, Stephen

    2016-01-01

    The Transiting Exoplanet Survey Satellite (TESS) will be injected into a highly eccentric Earth orbit and fly 3.5 phasing loops followed by a lunar flyby to enter a mission orbit with lunar 2:1 resonance. Through the phasing loops and mission orbit, the trajectory is significantly affected by lunar and solar gravity. We have developed a trajectory design to achieve the mission orbit and meet mission constraints, including eclipse avoidance and a 30-year geostationary orbit avoidance requirement. A parallelized Monte Carlo simulation was performed to validate the trajectory after injecting common perturbations, including launch dispersions, orbit determination errors, and maneuver execution errors. The Monte Carlo analysis helped identify mission risks and is used in the trajectory selection process.

  10. Redesign of Transjakarta Bus Driver's Cabin

    Science.gov (United States)

    Mardi Safitri, Dian; Azmi, Nora; Singh, Gurbinder; Astuti, Pudji

    2016-02-01

    Ergonomic risk at work stations with type Seated Work Control was one of the problems faced by Transjakarta bus driver. Currently “Trisakti” type bus, one type of bus that is used by Transjakarta in corridor 9, serving route Pinang Ranti - Pluit, gained many complaints from drivers. From the results of Nordic Body Map questionnaires given to 30 drivers, it was known that drivers feel pain in the neck, arms, hips, and buttocks. Allegedly this was due to the seat position and the button/panel bus has a considerable distance range (1 meter) to be achieved by drivers. In addition, preliminary results of the questionnaire using Workstation Checklist identified their complaints about uncomfortable cushion, driver's seat backrest, and the exact position of the AC is above the driver head. To reduce the risk level of ergonomics, then did research to design the cabin by using a generic approach to designing products. The risk analysis driver posture before the design was done by using Rapid Upper Limb Assessment (RULA), Rapid Entire Body Assessment (REBA), and Quick Exposure Checklist (QEC), while the calculation of the moment the body is done by using software Mannequin Pro V10.2. Furthermore, the design of generic products was done through the stages: need metric-matrix, house of quality, anthropometric data collection, classification tree concept, concept screening, scoring concept, design and manufacture of products in the form of two-dimensional. While the design after design risk analysis driver posture was done by using RULA, REBA, and calculation of moments body as well as the design visualized using software 3DMax. From the results of analysis before the draft design improvements cabin RULA obtained scores of 6, REBA 9, and the result amounted to 57.38% QEC and moment forces on the back is 247.3 LbF.inch and on the right hip is 72.9 LbF.in. While the results of the proposed improvements cabin design RULA obtained scores of 3, REBA 4, and the moment of force on

  11. What are the main drivers of the Bitcoin price? Evidence from wavelet coherence analysis.

    Directory of Open Access Journals (Sweden)

    Ladislav Kristoufek

    Full Text Available The Bitcoin has emerged as a fascinating phenomenon in the Financial markets. Without any central authority issuing the currency, the Bitcoin has been associated with controversy ever since its popularity, accompanied by increased public interest, reached high levels. Here, we contribute to the discussion by examining the potential drivers of Bitcoin prices, ranging from fundamental sources to speculative and technical ones, and we further study the potential influence of the Chinese market. The evolution of relationships is examined in both time and frequency domains utilizing the continuous wavelets framework, so that we not only comment on the development of the interconnections in time but also distinguish between short-term and long-term connections. We find that the Bitcoin forms a unique asset possessing properties of both a standard financial asset and a speculative one.

  12. What are the main drivers of the Bitcoin price? Evidence from wavelet coherence analysis.

    Science.gov (United States)

    Kristoufek, Ladislav

    2015-01-01

    The Bitcoin has emerged as a fascinating phenomenon in the Financial markets. Without any central authority issuing the currency, the Bitcoin has been associated with controversy ever since its popularity, accompanied by increased public interest, reached high levels. Here, we contribute to the discussion by examining the potential drivers of Bitcoin prices, ranging from fundamental sources to speculative and technical ones, and we further study the potential influence of the Chinese market. The evolution of relationships is examined in both time and frequency domains utilizing the continuous wavelets framework, so that we not only comment on the development of the interconnections in time but also distinguish between short-term and long-term connections. We find that the Bitcoin forms a unique asset possessing properties of both a standard financial asset and a speculative one.

  13. What Are the Main Drivers of the Bitcoin Price? Evidence from Wavelet Coherence Analysis

    Science.gov (United States)

    Kristoufek, Ladislav

    2015-01-01

    The Bitcoin has emerged as a fascinating phenomenon in the Financial markets. Without any central authority issuing the currency, the Bitcoin has been associated with controversy ever since its popularity, accompanied by increased public interest, reached high levels. Here, we contribute to the discussion by examining the potential drivers of Bitcoin prices, ranging from fundamental sources to speculative and technical ones, and we further study the potential influence of the Chinese market. The evolution of relationships is examined in both time and frequency domains utilizing the continuous wavelets framework, so that we not only comment on the development of the interconnections in time but also distinguish between short-term and long-term connections. We find that the Bitcoin forms a unique asset possessing properties of both a standard financial asset and a speculative one. PMID:25874694

  14. CROSS-STUDY RESEARCH ON UTILITY AND VALIDITY OF DRIVING SIMULATOR FOR DRIVER BEHAVIOR ANALYSIS

    Directory of Open Access Journals (Sweden)

    Michal Matowicki

    2017-12-01

    Full Text Available Driving is one of the most ordinary and universal everyday tasks and, at the same time, one of the most complex and dangerous. It requires a full range of sensory, perceptual, cognitive, and motor functions, all of which can be affected by a wide range of stressors and experience levels. Therefore, exploring of human behaviour while controlling a vehicle is a crucial task in improving traffic safety. Experimental studies can always be conducted with on-road tests, however, using a simulator is safer and more cost-effective. The main goal of this paper is to demonstrate if and under what conditions could a driving simulator provide sufficient results required for a proper study of driver behavior. It discusses its limits and advantages. Overall, the research reviewed in this paper indicates that simulator driving behaviour approximates (relative validity of speed and lateral position of vehicle on road, but does not exactly replicate (absolute validity, on-road driving behaviour.

  15. Driver-Pressure-State-Impact-Response (DPSIR) analysis and risk assessment for soil compaction

    DEFF Research Database (Denmark)

    Schjønning, Per; van den Akker, Jan J.H.; Keller, Thomas

    2015-01-01

    Compaction of subsoil is a hidden but persistent damage that impairs a range of soil functions and ecosystem services. We analyzed the soil compaction issue in the Driver-Pressure-State-Impact-Response (DPSIR) context. The driving force (DPSIR-D) is the farmers' efforts to sustain economic...... viability. This entails a steady increase in the size and weight of the agricultural machinery (DPSIR-P) exerting the specific pressures on the soil system. Simulations using historical data for agricultural machinery show significant increases in the mechanical stresses exerted on the soil profile during...... the last five decades. Surveys and comparative measurements (DPSIR-S) in the literature indicate that much of the European subsoil is compacted to critical levels for cropping. This calls for changes in agricultural management (DPSIR-R). Mechanical stresses impact the soil (DPSIR-I) by reducing the volume...

  16. A comprehensive analysis of coherent rainfall patterns in China and potential drivers. Part II: intraseasonal variability

    Science.gov (United States)

    Stephan, Claudia Christine; Klingaman, Nicholas P.; Vidale, Pier Luigi; Turner, Andrew G.; Demory, Marie-Estelle; Guo, Liang

    2017-09-01

    The causes of subseasonal precipitation variability in China are investigated using observations and reanalysis data for extended winter (November-April) and summer (May-October) seasons from 1982 to 2007. For each season, the three dominant regions of coherent intraseasonal variability are identified with Empirical Orthogonal Teleconnection (EOT) analysis. While previous studies have focused on particular causes for precipitation variability or on specific regions, here a comprehensive analysis is carried out with an objective method. Furthermore, the associated rainfall anomaly timeseries are tied to specific locations in China, which facilitates their interpretation. To understand the underlying processes associated with spatially coherent patterns of rainfall variability, fields from observations and reanalysis are regressed onto EOT timeseries. The three dominant patterns in winter together explain 43% of the total space-time variance and have their origins in midlatitude disturbances that appear two pentads in advance. Winter precipitation variability along the Yangtze River is associated with wave trains originating over the Atlantic and northern Europe, while precipitation variability in southeast China is connected to the Mediterranean storm track. In summer, all patterns have a strong relationship with the Boreal Summer Intraseasonal Oscillation and are modulated by the seasonal cycle of the East Asian summer monsoon. The wet and dry phases of the regional patterns can substantially modulate the frequency of daily rainfall across China. The discovered links between weather patterns, precursors, and effects on local and remote precipitation may provide a valuable basis for hydrological risk assessments and the evaluation of numerical weather prediction models.

  17. Terrestrial hydro-climatic change, lake shrinkage and water resource deterioration: Analysis of current to future drivers across Asia

    Science.gov (United States)

    Jarsjo, J.; Beygi, H.; Thorslund, J.

    2016-12-01

    Due to overlapping effects of different anthropogenic pressures and natural variability, main drivers behind on-going changes in the water cycle have in many cases not been identified, which complicates management of water resources. For instance, in many parts of the world, and not least in semi-arid and arid parts of Asia, lowered groundwater levels and shrinkage of surface water bodies with associated salinization and water quality deterioration constitute great challenges. With the aim to identify main drivers and mechanisms behind such changes, we here combine (i) historical observations of long-term, large scale change, (ii) ensemble projections of expected future change from the climate models of the Coupled Model Intercomparison Project Phase 5 (CMIP 5) and (iii) output from water balance modelling. Our particular focus is on regions near shrinking lakes. For the principal Lake Urmia in Iran, results show that agricultural intensification including irrigation expansion has clearly contributed to the surprisingly rapid water quality deterioration and lake shrinkage, from 10% lake area reduction in 2002 to the current value of about 75% (leaving billion of tons of salt exposed in its basin). Nevertheless, runoff decrease due to climate change has had an even larger effect. For the Aral Sea in Central Asia, where problems accelerated much earlier (in the 1990's), land-use change and irrigation expansion can fully explain the disastrous surface water deficits and water quality problems in the extensive low-lying parts of the basin. However, projections show that climate-driven runoff decrease in the headwaters of the Aral Sea basin may become a dominant driver of continued change in the near-future. More generally, present results illustrate that mitigation measures that compensate only for land-use driven effects may not reverse current trends of decreasing water availability, due to increasingly strong impacts of climate-driven runoff decrease. This has

  18. Method of identifying hairpin DNA probes by partial fold analysis

    Science.gov (United States)

    Miller, Benjamin L [Penfield, NY; Strohsahl, Christopher M [Saugerties, NY

    2009-10-06

    Method of identifying molecular beacons in which a secondary structure prediction algorithm is employed to identify oligonucleotide sequences within a target gene having the requisite hairpin structure. Isolated oligonucleotides, molecular beacons prepared from those oligonucleotides, and their use are also disclosed.

  19. Nanoparticle analysis sheds budding insights into genetic drivers of extracellular vesicle biogenesis

    Directory of Open Access Journals (Sweden)

    Stephanie N. Hurwitz

    2016-07-01

    Full Text Available Background: Extracellular vesicles (EVs are important mediators of cell-to-cell communication in healthy and pathological environments. Because EVs are present in a variety of biological fluids and contain molecular signatures of their cell or tissue of origin, they have great diagnostic and prognostic value. The ability of EVs to deliver biologically active proteins, RNAs and lipids to cells has generated interest in developing novel therapeutics. Despite their potential medical use, many of the mechanisms underlying EV biogenesis and secretion remain unknown. Methods: Here, we characterized vesicle secretion across the NCI-60 panel of human cancer cells by nanoparticle tracking analysis. Using CellMiner, the quantity of EVs secreted by each cell line was compared to reference transcriptomics data to identify gene products associated with vesicle secretion. Results: Gene products positively associated with the quantity of exosomal-sized vesicles included vesicular trafficking classes of proteins with Rab GTPase function and sphingolipid metabolism. Positive correlates of larger microvesicle-sized vesicle secretion included gene products involved in cytoskeletal dynamics and exocytosis, as well as Rab GTPase activation. One of the identified targets, CD63, was further evaluated for its role in vesicle secretion. Clustered regularly interspaced short palindromic repeat (CRISPR/Cas9 knockout of the CD63 gene in HEK293 cells resulted in a decrease in small vesicle secretion, suggesting the importance of CD63 in exosome biogenesis. Conclusion: These observations reveal new insights into genes involved in exosome and microvesicle formation, and may provide a means to distinguish EV sub-populations. This study offers a foundation for further exploration of targets involved in EV biogenesis and secretion.

  20. A comprehensive analysis of coherent rainfall patterns in China and potential drivers. Part I: Interannual variability

    Science.gov (United States)

    Stephan, Claudia Christine; Klingaman, Nicholas Pappas; Vidale, Pier Luigi; Turner, Andrew George; Demory, Marie-Estelle; Guo, Liang

    2017-09-01

    Interannual rainfall variability in China affects agriculture, infrastructure and water resource management. To improve its understanding and prediction, many studies have associated precipitation variability with particular causes for specific seasons and regions. Here, a consistent and objective method, Empirical Orthogonal Teleconnection (EOT) analysis, is applied to 1951-2007 high-resolution precipitation observations over China in all seasons. Instead of maximizing the explained space-time variance, the method identifies regions in China that best explain the temporal variability in domain-averaged rainfall. The EOT method is validated by the reproduction of known relationships to the El Niño Southern Oscillation (ENSO): high positive correlations with ENSO are found in eastern China in winter, along the Yangtze River in summer, and in southeast China during spring. New findings include that wintertime rainfall variability along the southeast coast is associated with anomalous convection over the tropical eastern Atlantic and communicated to China through a zonal wavenumber-three Rossby wave. Furthermore, spring rainfall variability in the Yangtze valley is related to upper-tropospheric midlatitude perturbations that are part of a Rossby wave pattern with its origin in the North Atlantic. A circumglobal wave pattern in the northern hemisphere is also associated with autumn precipitation variability in eastern areas. The analysis is objective, comprehensive, and produces timeseries that are tied to specific locations in China. This facilitates the interpretation of associated dynamical processes, is useful for understanding the regional hydrological cycle, and allows the results to serve as a benchmark for assessing general circulation models.

  1. Exploring China's materialization process with economic transition: analysis of raw material consumption and its socioeconomic drivers.

    Science.gov (United States)

    Wang, Heming; Tian, Xin; Tanikawa, Hiroki; Chang, Miao; Hashimoto, Seiji; Moriguchi, Yuichi; Lu, Zhongwu

    2014-05-06

    China's rapidly growing economy is accelerating its materialization process and thereby creating serious environmental problems at both local and global levels. Understanding the key drivers behind China's mass consumption of raw materials is thus crucial for developing sustainable resource management and providing valuable insights into how other emerging economies may be aiming to accomplish a low resource-dependent future. Our results show that China's raw material consumption (RMC) rose dramatically from 11.9 billion tons in 1997 to 20.4 billion tons in 2007, at an average annual growth rate at 5.5%. In particular, nonferrous metal minerals and iron ores increased at the highest rate, while nonmetallic minerals showed the greatest proportion (over 60%). We find that China's accelerating materialization process is closely related to its levels of urbanization and industrialization, notably demand for raw materials in the construction, services, and heavy manufacturing sectors. The growing domestic final demand level is the strongest contributor of China's growth in RMC, whereas changes in final demand composition are the largest contributors to reducing it. However, the expected offsetting effect from changes in production pattern and production-related technology level, which should be the focus of future dematerialization in China, could not be found.

  2. Combining hydrology and mosquito population models to identify the drivers of Rift Valley fever emergence in semi-arid regions of West Africa.

    Directory of Open Access Journals (Sweden)

    Valérie Soti

    Full Text Available BACKGROUND: Rift Valley fever (RVF is a vector-borne viral zoonosis of increasing global importance. RVF virus (RVFV is transmitted either through exposure to infected animals or through bites from different species of infected mosquitoes, mainly of Aedes and Culex genera. These mosquitoes are very sensitive to environmental conditions, which may determine their presence, biology, and abundance. In East Africa, RVF outbreaks are known to be closely associated with heavy rainfall events, unlike in the semi-arid regions of West Africa where the drivers of RVF emergence remain poorly understood. The assumed importance of temporary ponds and rainfall temporal distribution therefore needs to be investigated. METHODOLOGY/PRINCIPAL FINDINGS: A hydrological model is combined with a mosquito population model to predict the abundance of the two main mosquito species (Aedes vexans and Culex poicilipes involved in RVFV transmission in Senegal. The study area is an agropastoral zone located in the Ferlo Valley, characterized by a dense network of temporary water ponds which constitute mosquito breeding sites. The hydrological model uses daily rainfall as input to simulate variations of pond surface areas. The mosquito population model is mechanistic, considers both aquatic and adult stages and is driven by pond dynamics. Once validated using hydrological and entomological field data, the model was used to simulate the abundance dynamics of the two mosquito species over a 43-year period (1961-2003. We analysed the predicted dynamics of mosquito populations with regards to the years of main outbreaks. The results showed that the main RVF outbreaks occurred during years with simultaneous high abundances of both species. CONCLUSION/SIGNIFICANCE: Our study provides for the first time a mechanistic insight on RVFV transmission in West Africa. It highlights the complementary roles of Aedes vexans and Culex poicilipes mosquitoes in virus transmission, and recommends

  3. Driver mutations among never smoking female lung cancer tissues in China identify unique EGFR and KRAS mutation pattern associated with household coal burning.

    Science.gov (United States)

    Hosgood, H Dean; Pao, William; Rothman, Nathaniel; Hu, Wei; Pan, Yumei Helen; Kuchinsky, Kyle; Jones, Kirk D; Xu, Jun; Vermeulen, Roel; Simko, Jeff; Lan, Qing

    2013-11-01

    Lung cancer in never smokers, which has been partially attributed to household solid fuel use (i.e., coal), is etiologically and clinically different from lung cancer attributed to tobacco smoking. To explore the spectrum of driver mutations among lung cancer tissues from never smokers, specifically in a population where high lung cancer rates have been attributed to indoor air pollution from domestic coal use, multiplexed assays were used to detect >40 point mutations, insertions, and deletions (EGFR, KRAS, BRAF, HER2, NRAS, PIK3CA, MEK1, AKT1, and PTEN) among the lung tumors of confirmed never smoking females from Xuanwei, China [32 adenocarcinomas (ADCs), 7 squamous cell carcinomas (SCCs), 1 adenosquamous carcinoma (ADSC)]. EGFR mutations were detected in 35% of tumors. 46% of these involved EGFR exon 18 G719X, while 14% were exon 21 L858R mutations. KRAS mutations, all of which were G12C_34G>T, were observed in 15% of tumors. EGFR and KRAS mutations were mutually exclusive, and no mutations were observed in the other tested genes. Most point mutations were transversions and were also found in tumors from patients who used coal in their homes. Our high mutation frequencies in EGFR exon 18 and KRAS and low mutation frequency in EGFR exon 21 are strikingly divergent from those in other smoking and never smoking populations from Asia. Given that our subjects live in a region where coal is typically burned indoors, our findings provide new insights into the pathogenesis of lung cancer among never smoking females exposed to indoor air pollution from coal. Copyright © 2013 Elsevier Ltd. All rights reserved.

  4. Combining hydrology and mosquito population models to identify the drivers of Rift Valley fever emergence in semi-arid regions of West Africa.

    Science.gov (United States)

    Soti, Valérie; Tran, Annelise; Degenne, Pascal; Chevalier, Véronique; Lo Seen, Danny; Thiongane, Yaya; Diallo, Mawlouth; Guégan, Jean-François; Fontenille, Didier

    2012-01-01

    Rift Valley fever (RVF) is a vector-borne viral zoonosis of increasing global importance. RVF virus (RVFV) is transmitted either through exposure to infected animals or through bites from different species of infected mosquitoes, mainly of Aedes and Culex genera. These mosquitoes are very sensitive to environmental conditions, which may determine their presence, biology, and abundance. In East Africa, RVF outbreaks are known to be closely associated with heavy rainfall events, unlike in the semi-arid regions of West Africa where the drivers of RVF emergence remain poorly understood. The assumed importance of temporary ponds and rainfall temporal distribution therefore needs to be investigated. A hydrological model is combined with a mosquito population model to predict the abundance of the two main mosquito species (Aedes vexans and Culex poicilipes) involved in RVFV transmission in Senegal. The study area is an agropastoral zone located in the Ferlo Valley, characterized by a dense network of temporary water ponds which constitute mosquito breeding sites. The hydrological model uses daily rainfall as input to simulate variations of pond surface areas. The mosquito population model is mechanistic, considers both aquatic and adult stages and is driven by pond dynamics. Once validated using hydrological and entomological field data, the model was used to simulate the abundance dynamics of the two mosquito species over a 43-year period (1961-2003). We analysed the predicted dynamics of mosquito populations with regards to the years of main outbreaks. The results showed that the main RVF outbreaks occurred during years with simultaneous high abundances of both species. Our study provides for the first time a mechanistic insight on RVFV transmission in West Africa. It highlights the complementary roles of Aedes vexans and Culex poicilipes mosquitoes in virus transmission, and recommends the identification of rainfall patterns favourable for RVFV amplification.

  5. Integrating subpathway analysis to identify candidate agents for hepatocellular carcinoma

    Directory of Open Access Journals (Sweden)

    Wang J

    2016-03-01

    Full Text Available Jiye Wang,1 Mi Li,2 Yun Wang,3 Xiaoping Liu4 1The Criminal Science and Technology Department, Zhejiang Police College, Hangzhou, Zhejiang Province, 2Department of Nursing, Shandong College of Traditional Chinese Medicine College, Yantai, Shandong Province, 3Office Department of Gastroenterology, The First Affiliated Hospital of Xi’an Jiao Tong University, Xi’an, Shanxi Province, 4Key Laboratory of Systems Biology, Shanghai Institutes for Biological Sciences, Shanghai, People’s Republic of China Abstract: Hepatocellular carcinoma (HCC is the second most common cause of cancer-associated death worldwide, characterized by a high invasiveness and resistance to normal anticancer treatments. The need to develop new therapeutic agents for HCC is urgent. Here, we developed a bioinformatics method to identify potential novel drugs for HCC by integrating HCC-related and drug-affected subpathways. By using the RNA-seq data from the TCGA (The Cancer Genome Atlas database, we first identified 1,763 differentially expressed genes between HCC and normal samples. Next, we identified 104 significant HCC-related subpathways. We also identified the subpathways associated with small molecular drugs in the CMap database. Finally, by integrating HCC-related and drug-affected subpathways, we identified 40 novel small molecular drugs capable of targeting these HCC-involved subpathways. In addition to previously reported agents (ie, calmidazolium, our method also identified potentially novel agents for targeting HCC. We experimentally verified that one of these novel agents, prenylamine, induced HCC cell apoptosis using 3-(4,5-dimethylthiazol-2-yl-2,5-diphenyltetrazolium bromide, an acridine orange/ethidium bromide stain, and electron microscopy. In addition, we found that prenylamine not only affected several classic apoptosis-related proteins, including Bax, Bcl-2, and cytochrome c, but also increased caspase-3 activity. These candidate small molecular drugs

  6. A population-based analysis of the drivers of short-term costs after bariatric surgery within a publicly funded regionalized center of excellence system.

    Science.gov (United States)

    Doumouras, Aristithes G; Saleh, Fady; Tarride, Jean-Eric; Hong, Dennis

    2016-06-01

    The most significant driver of healthcare utilization for bariatric surgery is the index admission and readmissions within the first 30 days after a procedure. Identifying areas to create efficiencies during this period is essential to decreasing overall healthcare costs. The objective of the study was to characterize the short-term costs of bariatric surgery within a regionalized center of excellence bariatric care system. The Ontario Bariatric Network is a regionalized bariatric care system with 4 high-volume Bariatric Centers of Excellence. We performed a population-based retrospective analysis including all adult patients who received a bariatric surgical procedure in Ontario from April 2009 until March 2012. Total hospital cost and number of days in hospital was calculated for all index admissions and all readmissions within 30 days of a bariatric surgical procedure. An inverse Gaussian generalized linear model was utilized to model the effect of covariates on costs. A Poisson regression was used to determine the effect on covariates on total days in hospital. After multivariable adjustment, the sleeve gastrectomy procedure decreased costs by $1447 over gastric bypass (95% confidence interval [CI] $1578 to-$1315]); Pcomplications were the major drivers of increased cost as anastomotic leaks added $24,397 (95% CI $20,688-$28,106; Pcomplications, such as respiratory failure/infection ($19,465) (95% CI $11,007-$27,924; Pcomplications, such as anastomotic leaks and respiratory failure/infection. Days in hospital were affected more by medical complications than surgical complications. Sleeve gastrectomy resulted in a clear short-term cost advantage over Roux-en-Y gastric bypass (RYGB), and this was likely related to the procedure itself as opposed to differences across procedures in co-morbidity and complication rates. Copyright © 2016 American Society for Bariatric Surgery. Published by Elsevier Inc. All rights reserved.

  7. Structural identifiability analysis of a cardiovascular system model.

    Science.gov (United States)

    Pironet, Antoine; Dauby, Pierre C; Chase, J Geoffrey; Docherty, Paul D; Revie, James A; Desaive, Thomas

    2016-05-01

    The six-chamber cardiovascular system model of Burkhoff and Tyberg has been used in several theoretical and experimental studies. However, this cardiovascular system model (and others derived from it) are not identifiable from any output set. In this work, two such cases of structural non-identifiability are first presented. These cases occur when the model output set only contains a single type of information (pressure or volume). A specific output set is thus chosen, mixing pressure and volume information and containing only a limited number of clinically available measurements. Then, by manipulating the model equations involving these outputs, it is demonstrated that the six-chamber cardiovascular system model is structurally globally identifiable. A further simplification is made, assuming known cardiac valve resistances. Because of the poor practical identifiability of these four parameters, this assumption is usual. Under this hypothesis, the six-chamber cardiovascular system model is structurally identifiable from an even smaller dataset. As a consequence, parameter values computed from limited but well-chosen datasets are theoretically unique. This means that the parameter identification procedure can safely be performed on the model from such a well-chosen dataset. Thus, the model may be considered suitable for use in diagnosis. Copyright © 2016 IPEM. Published by Elsevier Ltd. All rights reserved.

  8. Use of Photogrammetry and Biomechanical Gait analysis to Identify Individuals

    DEFF Research Database (Denmark)

    Larsen, Peter Kastmand; Simonsen, Erik Bruun; Lynnerup, Niels

    Photogrammetry and recognition of gait patterns are valuable tools to help identify perpetrators based on surveillance recordings. We have found that stature but only few other measures have a satisfying reproducibility for use in forensics. Several gait variables with high recognition rates were...

  9. Gene expression analysis identifies global gene dosage sensitivity in cancer

    DEFF Research Database (Denmark)

    Fehrmann, Rudolf S. N.; Karjalainen, Juha M.; Krajewska, Malgorzata

    2015-01-01

    Many cancer-associated somatic copy number alterations (SCNAs) are known. Currently, one of the challenges is to identify the molecular downstream effects of these variants. Although several SCNAs are known to change gene expression levels, it is not clear whether each individual SCNA affects gen...

  10. Identifying clinical course patterns in SMS data using cluster analysis

    DEFF Research Database (Denmark)

    Kent, Peter; Kongsted, Alice

    2012-01-01

    ABSTRACT: BACKGROUND: Recently, there has been interest in using the short message service (SMS or text messaging), to gather frequent information on the clinical course of individual patients. One possible role for identifying clinical course patterns is to assist in exploring clinically importa...

  11. Rapid diagnostic test supply chain and consumption study in Cabo Delgado, Mozambique: estimating stock shortages and identifying drivers of stock-outs.

    Science.gov (United States)

    Hasselback, Leah; Crawford, Jessica; Chaluco, Timoteo; Rajagopal, Sharanya; Prosser, Wendy; Watson, Noel

    2014-08-02

    Malaria rapid diagnostic tests (RDTs) are particularly useful in low-resource settings where follow-through on traditional laboratory diagnosis is challenging or lacking. The availability of these tests depends on supply chain processes within the distribution system. In Mozambique, stock-outs of malaria RDTs are fairly common at health facilities. A longitudinal cross-sectional study was conducted to evaluate drivers of stock shortages in the Cabo Delgado province. Data were collected from purposively sampled health facilities, using monthly cross-sectional surveys between October 2011 and May 2012. Estimates of lost consumption (consumption not met due to stock-outs) served as the primary quantitative indicator of stock shortages. This is a better measure of the magnitude of stock-outs than binary indicators that only measure frequency of stock-outs at a given facility. Using a case study based methodology, distribution system characteristics were qualitatively analysed to examine causes of stock-outs at the provincial, district and health centre levels. 15 health facilities were surveyed over 120 time points. Stock-out patterns varied by data source; average monthly proportions of 59%, 17% and 17% of health centres reported a stock-out on stock cards, laboratory and pharmacy forms, respectively. Estimates of lost consumption percentage were significantly high; ranging from 0% to 149%; with a weighted average of 78%. Each ten-unit increase in monthly-observed consumption was associated with a nine-unit increase in lost consumption percentage indicating that higher rates of stock-outs occurred at higher levels of observed consumption. Causes of stock-outs included inaccurate tracking of lost consumption, insufficient sophistication in inventory management and replenishment, and poor process compliance by facility workers, all arguably stemming from inadequate attention to the design and implementation of the distribution system. Substantially high levels of RDT

  12. The Drivers of Success in Business Model Transformation

    Directory of Open Access Journals (Sweden)

    Nenad Savič

    2016-01-01

    Full Text Available Existing empirical literature on business models is still inconclusive about the key drivers of successful business model transformation. The paper explores this issue by using a single longitudinal case study design in combination with grounded theory approach on a medium-sized, high-tech and globally oriented company. Based on on-site visits, interviews and secondary documentation data analysis, the study identifies six generic drivers of successful business model transformation: transformational leadership, discovery driven decision-making, industry improvement – customer specific orientation, content-oriented communication, self-initiative collaborators, and phased separation strategy. The new drivers supplement our existing knowledge on how successful transformation takes place and add to existing drivers, while extensive discussion of their implications may help the managers to execute business transformations more effectively.

  13. Drought and Snow: Analysis of Drivers, Processes and Impacts of Streamflow Droughts in Snow-Dominated Regions

    Science.gov (United States)

    Van Loon, Anne; Laaha, Gregor; Van Lanen, Henny; Parajka, Juraj; Fleig, Anne; Ploum, Stefan

    2016-04-01

    Around the world, drought events with severe socio-economic impacts seem to have a link with winter snowpack. That is the case for the current California drought, but analysing historical archives and drought impact databases for the US and Europe we found many impacts that can be attributed to snowpack anomalies. Agriculture and electricity production (hydropower) were found to be the sectors that are most affected by drought related to snow. In this study, we investigated the processes underlying hydrological drought in snow-dominated regions. We found that drought drivers are different in different regions. In Norway, more than 90% of spring streamflow droughts were preceded by below-average winter precipitation, while both winter air temperature and spring weather were indifferent. In Austria, however, spring streamflow droughts could only be explained by a combination of factors. For most events, winter and spring air temperatures were above average (70% and 65% of events, respectively), and winter and spring precipitation was below average (75% and 80%). Because snow storage results from complex interactions between precipitation and temperature and these variables vary strongly with altitude, snow-related drought drivers have a large spatial variability. The weather input is subsequently modified by land properties. Multiple linear regression between drought severity variables and a large number of catchment characteristics for 44 catchments in Austria showed that storage influences both drought duration and deficit volume. The seasonal storage of water in snow and glaciers was found to be a statistically important variable explaining streamflow drought deficit. Our drought impact analysis in Europe also showed that 40% of the selected drought impacts was caused by a combination of snow-related and other drought types. For example, the combination of a winter drought with a preceding or subsequent summer drought was reported to have a large effect on

  14. The Influence of Drivers and Barriers on Urban Adaptation and Mitigation Plans—An Empirical Analysis of European Cities

    Science.gov (United States)

    Reckien, Diana; Flacke, Johannes

    2015-01-01

    Cities are recognised as key players in global adaptation and mitigation efforts because the majority of people live in cities. However, in Europe, which is highly urbanized and one of the most advanced regions in terms of environmental policies, there is considerable diversity in the regional distribution, ambition and scope of climate change responses. This paper explores potential factors contributing to such diversity in 200 large and medium-sized cities across 11 European countries. We statistically investigate institutional, socio-economic, environmental and vulnerability characteristics of cities as potential drivers of or barriers to the development of urban climate change plans. Our results show that factors such as membership of climate networks, population size, GDP per capita and adaptive capacity act as drivers of mitigation and adaptation plans. By contrast, factors such as the unemployment rate, warmer summers, proximity to the coast and projected exposure to future climate impacts act as barriers. We see that, overall, it is predominantly large and prosperous cities that engage in climate planning, while vulnerable cities and those at risk of severe climate impacts in the future are less active. Our analysis suggests that climate change planning in European cities is not proactive, i.e. not significantly influenced by anticipated future impacts. Instead, we found that the current adaptive capacity of a city significantly relates to climate planning. Along with the need to further explore these relations, we see a need for more economic and institutional support for smaller and less resourceful cities and those at high risk from climate change impacts in the future. PMID:26317420

  15. The Influence of Drivers and Barriers on Urban Adaptation and Mitigation Plans-An Empirical Analysis of European Cities.

    Science.gov (United States)

    Reckien, Diana; Flacke, Johannes; Olazabal, Marta; Heidrich, Oliver

    2015-01-01

    Cities are recognised as key players in global adaptation and mitigation efforts because the majority of people live in cities. However, in Europe, which is highly urbanized and one of the most advanced regions in terms of environmental policies, there is considerable diversity in the regional distribution, ambition and scope of climate change responses. This paper explores potential factors contributing to such diversity in 200 large and medium-sized cities across 11 European countries. We statistically investigate institutional, socio-economic, environmental and vulnerability characteristics of cities as potential drivers of or barriers to the development of urban climate change plans. Our results show that factors such as membership of climate networks, population size, GDP per capita and adaptive capacity act as drivers of mitigation and adaptation plans. By contrast, factors such as the unemployment rate, warmer summers, proximity to the coast and projected exposure to future climate impacts act as barriers. We see that, overall, it is predominantly large and prosperous cities that engage in climate planning, while vulnerable cities and those at risk of severe climate impacts in the future are less active. Our analysis suggests that climate change planning in European cities is not proactive, i.e. not significantly influenced by anticipated future impacts. Instead, we found that the current adaptive capacity of a city significantly relates to climate planning. Along with the need to further explore these relations, we see a need for more economic and institutional support for smaller and less resourceful cities and those at high risk from climate change impacts in the future.

  16. Integrated Analysis Identifies Interaction Patterns between Small Molecules and Pathways

    Science.gov (United States)

    Li, Yan; Li, Weiguo; Chen, Xin; Sun, Jiatong; Chen, Huan; Lv, Sali

    2014-01-01

    Previous studies have indicated that the downstream proteins in a key pathway can be potential drug targets and that the pathway can play an important role in the action of drugs. So pathways could be considered as targets of small molecules. A link map between small molecules and pathways was constructed using gene expression profile, pathways, and gene expression of cancer cell line intervened by small molecules and then we analysed the topological characteristics of the link map. Three link patterns were identified based on different drug discovery implications for breast, liver, and lung cancer. Furthermore, molecules that significantly targeted the same pathways tended to treat the same diseases. These results can provide a valuable reference for identifying drug candidates and targets in molecularly targeted therapy. PMID:25114931

  17. Association analysis identifies ZNF750 regulatory variants in psoriasis

    Directory of Open Access Journals (Sweden)

    Birnbaum Ramon Y

    2011-12-01

    Full Text Available Abstract Background Mutations in the ZNF750 promoter and coding regions have been previously associated with Mendelian forms of psoriasis and psoriasiform dermatitis. ZNF750 encodes a putative zinc finger transcription factor that is highly expressed in keratinocytes and represents a candidate psoriasis gene. Methods We examined whether ZNF750 variants were associated with psoriasis in a large case-control population. We sequenced the promoter and exon regions of ZNF750 in 716 Caucasian psoriasis cases and 397 Caucasian controls. Results We identified a total of 47 variants, including 38 rare variants of which 35 were novel. Association testing identified two ZNF750 haplotypes associated with psoriasis (p ZNF750 promoter and 5' UTR variants displayed a 35-55% reduction of ZNF750 promoter activity, consistent with the promoter activity reduction seen in a Mendelian psoriasis family with a ZNF750 promoter variant. However, the rare promoter and 5' UTR variants identified in this study did not strictly segregate with the psoriasis phenotype within families. Conclusions Two haplotypes of ZNF750 and rare 5' regulatory variants of ZNF750 were found to be associated with psoriasis. These rare 5' regulatory variants, though not causal, might serve as a genetic modifier of psoriasis.

  18. Using Factor Analysis to Identify Topic Preferences Within MBA Courses

    Directory of Open Access Journals (Sweden)

    Earl Chrysler

    2003-02-01

    Full Text Available This study demonstrates the role of a principal components factor analysis in conducting a gap analysis as to the desired characteristics of business alumni. Typically, gap analyses merely compare the emphases that should be given to areas of inquiry with perceptions of actual emphases. As a result, the focus is upon depth of coverage. A neglected area in need of investigation is the breadth of topic dimensions and their differences between the normative (should offer and the descriptive (actually offer. The implications of factor structures, as well as traditional gap analyses, are developed and discussed in the context of outcomes assessment.

  19. Using Linguistic Analysis to Identify High Performing Teams

    Science.gov (United States)

    2006-06-01

    used in two studies. Specifically, participants were told: Many people have made an extensive analysis into the effects of overpopulation , chemical... pollution , and air and water pollution . A frequent conclusion is that the next 5 to 10 years are critical because if significant changes in our society

  20. Evaluation of energy system analysis techniques for identifying underground facilities

    Energy Technology Data Exchange (ETDEWEB)

    VanKuiken, J.C.; Kavicky, J.A.; Portante, E.C. [and others

    1996-03-01

    This report describes the results of a study to determine the feasibility and potential usefulness of applying energy system analysis techniques to help detect and characterize underground facilities that could be used for clandestine activities. Four off-the-shelf energy system modeling tools were considered: (1) ENPEP (Energy and Power Evaluation Program) - a total energy system supply/demand model, (2) ICARUS (Investigation of Costs and Reliability in Utility Systems) - an electric utility system dispatching (or production cost and reliability) model, (3) SMN (Spot Market Network) - an aggregate electric power transmission network model, and (4) PECO/LF (Philadelphia Electric Company/Load Flow) - a detailed electricity load flow model. For the purposes of most of this work, underground facilities were assumed to consume about 500 kW to 3 MW of electricity. For some of the work, facilities as large as 10-20 MW were considered. The analysis of each model was conducted in three stages: data evaluation, base-case analysis, and comparative case analysis. For ENPEP and ICARUS, open source data from Pakistan were used for the evaluations. For SMN and PECO/LF, the country data were not readily available, so data for the state of Arizona were used to test the general concept.

  1. The impact of threat appeals on fear arousal and driver behavior: a meta-analysis of experimental research 1990-2011.

    Directory of Open Access Journals (Sweden)

    Rachel N Carey

    Full Text Available The existing empirical research exploring the impact of threat appeals on driver behavior has reported inconsistent findings. In an effort to provide an up-to-date synthesis of the experimental findings, meta-analytic techniques were employed to examine the impact of threat-based messages on fear arousal and on lab-based indices of driving behavior. Experimental studies (k = 13, N = 3044, conducted between 1990 and 2011, were included in the analyses. The aims of the current analysis were (a to examine whether or not the experimental manipulations had a significant impact on evoked fear, (b to examine the impact of threat appeals on three distinct indices of driving, and (c to identify moderators and mediators of the relationship between fear and driving outcomes. Large effects emerged for the level of fear evoked, with experimental groups reporting increased fear arousal in comparison to control groups (r = .64, n = 619, p<.01. The effect of threat appeals on driving outcomes, however, was not significant (r = .03, p = .17. This analysis of the experimental literature indicates that threat appeals can lead to increased fear arousal, but do not appear to have the desired impact on driving behavior. We discuss these findings in the context of threat-based road safety campaigns and future directions for experimental research in this area.

  2. Identifying drought response of semi-arid aeolian systems using near-surface luminescence profiles and changepoint analysis, Nebraska Sandhills.

    Science.gov (United States)

    Buckland, Catherine; Bailey, Richard; Thomas, David

    2017-04-01

    Two billion people living in drylands are affected by land degradation. Sediment erosion by wind and water removes fertile soil and destabilises landscapes. Vegetation disturbance is a key driver of dryland erosion caused by both natural and human forcings: drought, fire, land use, grazing pressure. A quantified understanding of vegetation cover sensitivities and resultant surface change to forcing factors is needed if the vegetation and landscape response to future climate change and human pressure are to be better predicted. Using quartz luminescence dating and statistical changepoint analysis (Killick & Eckley, 2014) this study demonstrates the ability to identify step-changes in depositional age of near-surface sediments. Lx/Tx luminescence profiles coupled with statistical analysis show the use of near-surface sediments in providing a high-resolution record of recent system response and aeolian system thresholds. This research determines how the environment has recorded and retained sedimentary evidence of drought response and land use disturbances over the last two hundred years across both individual landforms and the wider Nebraska Sandhills. Identifying surface deposition and comparing with records of climate, fire and land use changes allows us to assess the sensitivity and stability of the surface sediment to a range of forcing factors. Killick, R and Eckley, IA. (2014) "changepoint: An R Package for Changepoint Analysis." Journal of Statistical Software, (58) 1-19.

  3. Compartmental analysis of dynamic nuclear medicine data: models and identifiability

    Science.gov (United States)

    Delbary, Fabrice; Garbarino, Sara; Vivaldi, Valentina

    2016-12-01

    Compartmental models based on tracer mass balance are extensively used in clinical and pre-clinical nuclear medicine in order to obtain quantitative information on tracer metabolism in the biological tissue. This paper is the first of a series of two that deal with the problem of tracer coefficient estimation via compartmental modelling in an inverse problem framework. Specifically, here we discuss the identifiability problem for a general n-dimension compartmental system and provide uniqueness results in the case of two-compartment and three-compartment compartmental models. The second paper will utilize this framework in order to show how nonlinear regularization schemes can be applied to obtain numerical estimates of the tracer coefficients in the case of nuclear medicine data corresponding to brain, liver and kidney physiology.

  4. Chemical analysis of a new kinematically identified stellar group .

    Science.gov (United States)

    Ženovienė, R.; Tautvaišienė, G.; Nordström, B.; Stonkutė, E.

    We have started a study of chemical composition of a new kinematically identified group of stars in the Galactic disc. Based on dynamical properties those stars were suspected to belong to a disrupted satellite. The main atmospheric parameters and chemical composition were determined for thirty-two stars from high resolution spectra obtained at the Nordic Optical Telescope with the spectrograph FIES. In this contribution the preliminary results of chemical composition study are presented. The metallicity of the investigated stars lie in the interval -0.2 < [Fe/H] < -0.6, their abundances of oxygen and alpha-elements are overabundant in comparison to the Galactic thin disc dwarfs at this metallicity range. This provides further evidences of their common and possibly extragalactic origin.

  5. Association analysis identifies 65 new breast cancer risk loci

    DEFF Research Database (Denmark)

    Michailidou, Kyriaki; Lindström, Sara; Dennis, Joe

    2017-01-01

    cancer in 122,977 cases and 105,974 controls of European ancestry and 14,068 cases and 13,104 controls of East Asian ancestry. We identified 65 new loci that are associated with overall breast cancer risk at P risk single-nucleotide polymorphisms in these loci fall......Breast cancer risk is influenced by rare coding variants in susceptibility genes, such as BRCA1, and many common, mostly non-coding variants. However, much of the genetic contribution to breast cancer risk remains unknown. Here we report the results of a genome-wide association study of breast......-nucleotide polymorphisms in regulatory features was 2-5-fold enriched relative to the genome-wide average, with strong enrichment for particular transcription factor binding sites. These results provide further insight into genetic susceptibility to breast cancer and will improve the use of genetic risk scores...

  6. Monoallelic mutation analysis (MAMA) for identifying germline mutations.

    Science.gov (United States)

    Papadopoulos, N; Leach, F S; Kinzler, K W; Vogelstein, B

    1995-09-01

    Dissection of germline mutations in a sensitive and specific manner presents a continuing challenge. In dominantly inherited diseases, mutations occur in only one allele and are often masked by the normal allele. Here we report the development of a sensitive and specific diagnostic strategy based on somatic cell hybridization termed MAMA (monoallelic mutation analysis). We have demonstrated the utility of this strategy in two different hereditary colorectal cancer syndromes, one caused by a defective tumour suppressor gene on chromosome 5 (familial adenomatous polyposis, FAP) and the other caused by a defective mismatch repair gene on chromosome 2 (hereditary non-polyposis colorectal cancer, HNPCC).

  7. Spatial and temporal drivers of wildfire occurrence in the context of rural development in northern Wisconsin, USA

    Science.gov (United States)

    Brian R Miranda; Brian R Sturtevant; Susan I Stewart; Roger B. Hammer

    2012-01-01

    Most drivers underlying wildfire are dynamic, but at different spatial and temporal scales. We quantified temporal and spatial trends in wildfire patterns over two spatial extents in northern Wisconsin to identify drivers and their change through time. We used spatial point pattern analysis to quantify the spatial pattern of wildfire occurrences, and linear regression...

  8. Genetic analysis of CHARGE syndrome identifies overlapping molecular biology.

    Science.gov (United States)

    Moccia, Amanda; Srivastava, Anshika; Skidmore, Jennifer M; Bernat, John A; Wheeler, Marsha; Chong, Jessica X; Nickerson, Deborah; Bamshad, Michael; Hefner, Margaret A; Martin, Donna M; Bielas, Stephanie L

    2018-01-04

    PurposeCHARGE syndrome is an autosomal-dominant, multiple congenital anomaly condition characterized by vision and hearing loss, congenital heart disease, and malformations of craniofacial and other structures. Pathogenic variants in CHD7, encoding adenosine triphosphate-dependent chromodomain helicase DNA binding protein 7, are present in the majority of affected individuals. However, no causal variant can be found in 5-30% (depending on the cohort) of individuals with a clinical diagnosis of CHARGE syndrome.MethodsWe performed whole-exome sequencing (WES) on 28 families from which at least one individual presented with features highly suggestive of CHARGE syndrome.ResultsPathogenic variants in CHD7 were present in 15 of 28 individuals (53.6%), whereas 4 (14.3%) individuals had pathogenic variants in other genes (RERE, KMT2D, EP300, or PUF60). A variant of uncertain clinical significance in KDM6A was identified in one (3.5%) individual. The remaining eight (28.6%) individuals were not found to have pathogenic variants by WES.ConclusionThese results demonstrate that the phenotypic features of CHARGE syndrome overlap with multiple other rare single-gene syndromes. Additionally, they implicate a shared molecular pathology that disrupts epigenetic regulation of multiple-organ development.GENETICS in MEDICINE advance online publication, 4 January 2018; doi:10.1038/gim.2017.233.

  9. Immunogenicity of novel Dengue virus epitopes identified by bioinformatic analysis.

    Science.gov (United States)

    Sánchez-Burgos, Gilma; Ramos-Castañeda, José; Cedillo-Rivera, Roberto; Dumonteil, Eric

    2010-10-01

    We used T cell epitope prediction tools to identify epitopes from Dengue virus polyprotein sequences, and evaluated in vivo and in vitro the immunogenicity and antigenicity of the corresponding synthetic vaccine candidates. Twenty-two epitopes were predicted to have a high affinity for MHC class I (H-2Kd, H-2Dd, H-2Ld alleles) or class II (IAd alleles). These epitopes were conserved between the four virus serotypes, but with no similarity to human and mouse sequences. Thirteen synthetic peptides induced specific antibodies production with or without T cells activation in mice. Three synthetic peptides induced mostly IgG antibodies, and one of these from the E gene induced a neutralizing response. Ten peptides induced a combination of humoral and cellular responses by CD4+ and CD8+ T cells. Twelve peptides were novel B and T cell epitopes. These results indicate that our bioinformatics strategy is a powerful tool for the identification of novel antigens and its application to human HLA may lead to a potent epitope-based vaccine against Dengue virus and many other pathogens. (c) 2010 Elsevier B.V. All rights reserved.

  10. Driving fatigue in professional drivers: a survey of truck and taxi drivers.

    Science.gov (United States)

    Meng, Fanxing; Li, Shuling; Cao, Lingzhi; Li, Musen; Peng, Qijia; Wang, Chunhui; Zhang, Wei

    2015-01-01

    Fatigue among truck drivers has been studied extensively; however, less is known regarding the fatigue experience of taxi drivers in heavily populated metropolitan areas. This study aimed to compare the differences and similarities between truck and taxi driver fatigue to provide implications for the fatigue management and education of professional drivers. A sample of 274 truck drivers and 286 taxi drivers in Beijing was surveyed via a questionnaire, which included items regarding work characteristics, fatigue experience, accident information, attitude toward fatigue, and methods of counteracting fatigue. Driver fatigue was prevalent among professional drivers, and it was even more serious for taxi drivers. Taxi drivers reported more frequent fatigue experiences and were involved in more accidents. Among the contributing factors to fatigue, prolonged driving time was the most important factor identified by both driver groups. Importantly, the reason for the engagement in prolonged driving was neither due to the lack of awareness concerning the serious outcome of fatigue driving nor because of their poor detection of fatigue. The most probable reason was the optimism bias, as a result of which these professional drivers thought that fatigue was more serious for other drivers than for themselves, and they thought that they were effective in counteracting the effect of fatigue on their driving performance. Moreover, truck drivers tended to employ methods that require stopping to counteract fatigue, whereas taxi drivers preferred methods that were simultaneous with driving. Although both driver groups considered taking a nap as one of the most effective means to address fatigue, this method was not commonly used. Interestingly, these drivers were aware that the methods they frequently used were not the most effective means to counteract fatigue. This study provides knowledge on truck and taxi drivers' characteristics in fatigue experience, fatigue attitude, and

  11. [Influencing factors for job satisfaction in train drivers in a railway bureau: an analysis of 1413 cases].

    Science.gov (United States)

    Gu, G Z; Yu, S F; Zhou, W H; Wu, H; Kang, L; Chen, R

    2017-01-20

    Objective: To investigate the influencing factors for job satisfaction in train drivers. Methods: In March 2012, cluster sampling was used to conduct a cross-sectional survey in 1413 male train drivers (including 301 passenger train drivers, 683 freight train drivers, 350 passenger shunting train drivers, and 79 high-speed train drivers) from a locomotive depot of a railway bureau. The occupational stress instruments, job content questionnaire, and effort-reward imbalance questionnaire were used to analyze job satisfaction, occupational stress factors, stress reaction, individual characteristics, coping strategies, and social support. Results: There were significant differences in job satisfaction score between the drivers with different posts, working years, ages, smoking status, and drinking status ( P job satisfaction score was positively correlated with reward, working stability, promotion opportunity, positive emotion, social support, self-esteem, and coping strategy scores ( P job satisfaction groups, the high job satisfaction group had significantly higher reward, positive emotion, promotion opportunity, and role ambiguity scores ( P job satisfaction groups the low job satisfaction group had significantly higher scores of psychological needs, effort, role conflict, sleep disorders, daily stress, depressive symptom, negative emotion, drug use, intragroup conflict, and social support ( P job satisfaction group had a significantly higher score of self-esteem than the other two groups ( P job dissatisfaction in the drivers with low so-cial support and high daily stress was more than 2 times that in those with high social support and low daily stress ( OR =2.176 and 2.171) , and sleep disorders, effort, depressive symptom, low self-esteem, and role conflict were risk factors for job dissatisfaction ( OR =1.48-1.625). Conclusion: Occupational stress, stress re-sponse, emotion, individual characteristics, and social support have great influence on job satisfaction

  12. Identifying a preservation zone using multicriteria decision analysis

    Energy Technology Data Exchange (ETDEWEB)

    Farashi, A.; Naderi, M.; Parvian, N.

    2016-07-01

    Zoning of a protected area is an approach to partition landscape into various land use units. The management of these landscape units can reduce conflicts caused by human activities. Tandoreh National Park is one of the most biologically diverse, protected areas in Iran. Although the area is generally designed to protect biodiversity, there are many conflicts between biodiversity conservation and human activities. For instance, the area is highly controversial and has been considered as an impediment to local economic development, such as tourism, grazing, road construction, and cultivation. In order to reduce human conflicts with biodiversity conservation in Tandoreh National Park, safe zones need to be established and human activities need to be moved out of the zones. In this study we used a systematic methodology to integrate a participatory process with Geographic Information Systems (GIS) using a multi–criteria decision analysis (MCDA) technique to guide a zoning scheme for the Tandoreh National Park, Iran. Our results show that the northern and eastern parts of the Tandoreh National Park that were close to rural areas and farmlands returned less desirability for selection as a preservation area. Rocky Mountains were the most important and most destructed areas and abandoned plains were the least important criteria for preservation in the area. Furthermore, the results reveal that the land properties were considered to be important for protection based on the obtaine. (Author)

  13. Identifying a preservation zone using multi–criteria decision analysis

    Directory of Open Access Journals (Sweden)

    Farashi, A.

    2016-03-01

    Full Text Available Zoning of a protected area is an approach to partition landscape into various land use units. The management of these landscape units can reduce conflicts caused by human activities. Tandoreh National Park is one of the most biologically diverse, protected areas in Iran. Although the area is generally designed to protect biodiversity, there are many conflicts between biodiversity conservation and human activities. For instance, the area is highly controversial and has been considered as an impediment to local economic development, such as tourism, grazing, road construction, and cultivation. In order to reduce human conflicts with biodiversity conservation in Tandoreh National Park, safe zones need to be established and human activities need to be moved out of the zones. In this study we used a systematic methodology to integrate a participatory process with Geographic Information Systems (GIS using a multi–criteria decision analysis (MCDA technique to guide a zoning scheme for the Tandoreh National Park, Iran. Our results show that the northern and eastern parts of the Tandoreh National Park that were close to rural areas and farmlands returned less desirability for selection as a preservation area. Rocky Mountains were the most important and most destructed areas and abandoned plains were the least important criteria for preservation in the area. Furthermore, the results reveal that the land properties were considered to be important for protection based on the obtaine

  14. Meconium microbiome analysis identifies bacteria correlated with premature birth.

    Directory of Open Access Journals (Sweden)

    Alexandria N Ardissone

    Full Text Available Preterm birth is the second leading cause of death in children under the age of five years worldwide, but the etiology of many cases remains enigmatic. The dogma that the fetus resides in a sterile environment is being challenged by recent findings and the question has arisen whether microbes that colonize the fetus may be related to preterm birth. It has been posited that meconium reflects the in-utero microbial environment. In this study, correlations between fetal intestinal bacteria from meconium and gestational age were examined in order to suggest underlying mechanisms that may contribute to preterm birth.Meconium from 52 infants ranging in gestational age from 23 to 41 weeks was collected, the DNA extracted, and 16S rRNA analysis performed. Resulting taxa of microbes were correlated to clinical variables and also compared to previous studies of amniotic fluid and other human microbiome niches.Increased detection of bacterial 16S rRNA in meconium of infants of <33 weeks gestational age was observed. Approximately 61·1% of reads sequenced were classified to genera that have been reported in amniotic fluid. Gestational age had the largest influence on microbial community structure (R = 0·161; p = 0·029, while mode of delivery (C-section versus vaginal delivery had an effect as well (R = 0·100; p = 0·044. Enterobacter, Enterococcus, Lactobacillus, Photorhabdus, and Tannerella, were negatively correlated with gestational age and have been reported to incite inflammatory responses, suggesting a causative role in premature birth.This provides the first evidence to support the hypothesis that the fetal intestinal microbiome derived from swallowed amniotic fluid may be involved in the inflammatory response that leads to premature birth.

  15. The impact of threat appeals on fear arousal and driver behavior: a meta-analysis of experimental research 1990-2011.

    Science.gov (United States)

    Carey, Rachel N; McDermott, Daragh T; Sarma, Kiran M

    2013-01-01

    The existing empirical research exploring the impact of threat appeals on driver behavior has reported inconsistent findings. In an effort to provide an up-to-date synthesis of the experimental findings, meta-analytic techniques were employed to examine the impact of threat-based messages on fear arousal and on lab-based indices of driving behavior. Experimental studies (k = 13, N = 3044), conducted between 1990 and 2011, were included in the analyses. The aims of the current analysis were (a) to examine whether or not the experimental manipulations had a significant impact on evoked fear, (b) to examine the impact of threat appeals on three distinct indices of driving, and (c) to identify moderators and mediators of the relationship between fear and driving outcomes. Large effects emerged for the level of fear evoked, with experimental groups reporting increased fear arousal in comparison to control groups (r = .64, n = 619, panalysis of the experimental literature indicates that threat appeals can lead to increased fear arousal, but do not appear to have the desired impact on driving behavior. We discuss these findings in the context of threat-based road safety campaigns and future directions for experimental research in this area.

  16. Key Drivers for Cooperation toward Sustainable Development and the Management of CO2 Emissions: Comparative Analysis of Six Northeast Asian Countries

    Directory of Open Access Journals (Sweden)

    Andrew Chapman

    2018-01-01

    Full Text Available This study analyzes the key drivers of the relationship between economic growth and carbon emissions in six Northeast Asian countries (China, Japan, Republic of Korea, Democratic People’s Republic of Korea, Mongolia, and Russia from 1991 to 2015. We apply a decomposition analysis approach using Logarithmic Mean Divisia Index to identify the main contributing factors toward CO2 emission changes. To discuss the decomposition results in more in detail, we explain the energy portfolio change in each country to understand the energy and resource utilization strategy. From the results, we find that the key driving factors of CO2 emissions change and energy portfolio trends are different among Northeast Asian countries, driven by economic growth in China and Korea, reduced by energy efficiency improvements in Russia and the DPRK, while being relatively benign in Japan and Mongolia due to a combination of these factors. This result implies that we can better understand the regional cooperation policy for improving each driving factor to achieve sustainable development and management of CO2 emissions considering the characteristics of each country.

  17. Analysis on and Optimization of a Circular Piezoelectric Composite Laminate for a Micro-Pump Driver

    International Nuclear Information System (INIS)

    Jia, Jianyuan; Wang, Weidong; Huang, Xinbo

    2002-01-01

    Among the various micro-pump actuation devices, piezoelectric composite laminate actuation has become an effective method. Due to lacking of analysis treatments, the design of this type micro-pump is in a great limitation. In this paper, an electromechanical-coupled mechanics model is established for the circle-flake micro-actuator. A kind of analysis and design method is presented that piezoelectric plate's radial strain induced by inverse piezoelectric effect is equivalently substituted with transverse stress on piezoelectric composite laminates. It is pointed out that the equivalent transverse load depends on the edge electric field distribution of parallel plate capacitor. The question has been solved that where the neutral plane in the piezoelectric composite laminates lies. Finally, an optimization design is developed on the radius ratio of piezoelectric-to-silicon plate radius by utilizing of FEA modeling

  18. What Are the Main Drivers of the Bitcoin Price? Evidence from Wavelet Coherence Analysis

    Czech Academy of Sciences Publication Activity Database

    Krištoufek, Ladislav

    2015-01-01

    Roč. 10, č. 4 (2015), č. článku e0123923. E-ISSN 1932-6203 R&D Projects: GA ČR(CZ) GBP402/12/G097 Institutional support: RVO:67985556 Keywords : Bitcoin * wavelet analysis Subject RIV: AH - Economics Impact factor: 3.057, year: 2015 http://library.utia.cas.cz/separaty/2015/E/kristoufek-0452318.pdf

  19. Analysis of Some Drivers of Cocoa Export in Nigeria in the Era of Trade Liberalization

    OpenAIRE

    N. Verter; V. Bečvářová

    2014-01-01

    This contribution analysis some determinants of cocoa export in Nigeria in the era of free trade. Using Johansen cointegration and OLS regression methods, the cointegration results show there exists a long- run equilibrium relationship between cocoa exports and the explanatory variables such as quantity of cocoa production, domestic consumption and the world price in Nigeria. More so, the OLS results provide a positive relationship between cocoa export and world price, trade openness, REER, a...

  20. Main drivers of changes in CO2 emissions in the Spanish economy: A structural decomposition analysis

    International Nuclear Information System (INIS)

    Cansino, José M.; Román, Rocío; Ordóñez, Manuel

    2016-01-01

    The aim of this paper is the analysis of structural decomposition of changes in CO 2 emissions in Spain by using an enhanced Structural Decomposition Analysis (SDA) supported by detailed Input–Output tables from the World Input–Output Database (2013) (WIOD) for the period 1995–2009. The decomposition of changes in CO 2 emissions at sectoral level are broken down into six effects: carbonization, energy intensity, technology, structural demand, consumption pattern and scale. The results are interesting, not only for researchers but also for utility companies and policy-makers as soon as past and current political mitigation measures are analyzed in line with such results. The results allow us to conclude that the implementation of the Kyoto Protocol together with European Directives related to the promotion of RES seem to have a positive impact on CO 2 emissions trends in Spain. After reviewing the current mitigation measures in Spain, one policy recommendation is suggested to avoid the rebound effect and to enhance the fight against Climate Change that is tax benefits for those companies that prove reductions in their energy intensity ratios. - Highlights: • Kyoto's Protocol and European Directives acted against CO 2 emissions in Spain. • Changes in primary energy mix acted against increasing CO 2 emissions. • Energy efficiency seems to have improved. • Historical analysis gives support for most mitigation measures currently in force.

  1. Development of a statistical model to identify spatial and meteorological drivers of elevated O3 in Nevada and its application to other rural mountainous regions.

    Science.gov (United States)

    Fine, Rebekka; Miller, Matthieu B; Gustin, Mae Sexauer

    2015-10-15

    Measurements of O3 at relatively remote monitoring sites are useful for quantifying baseline O3, and subsequently the magnitude of O3 not controllable by local regulations. As the National Ambient Air Quality Standard (NAAQS) for O3 becomes more stringent, there is an increased need to quantify baseline O3 particularly in the Western US, where regional and global sources can significantly enhance O3 measured at surface sites, yielding baseline mixing ratios approaching or exceeding the NAAQS threshold. Past work has indicated that meteorological conditions as well as site specific spatial characteristics (e.g. elevation, basin size, gradient) are significantly correlated with O3 intercepted at rural monitoring sites. Here, we use 3 years of measurements from sites throughout rural Nevada to develop a categorical tree model to identify spatial and meteorological characteristics that are associated with elevated baseline O3. Data from other sites in the Intermountain Western US are used to test the applicability of the model for sites throughout the region. Our analyses indicate that increased elevation and basin size were associated with increased frequency of elevated O3. On a daily time scale, relative humidity had the strongest association with observed MDA8 O3. Seventy-four percent of MDA8 O3 observations>60 ppbv occurred when daily minimum relative humidity was 60 ppbv whereas including upper air meteorological measurements improved the accuracy of predicting periods when O3 was >60 ppbv. These findings indicate that transport, rather than local production, influences O3 measurements in Nevada, and that high elevation sites in rural Nevada, are representative of baseline conditions in the Intermountain Western US. Copyright © 2015 Elsevier B.V. All rights reserved.

  2. Drivers of cycling mode-share: analysis of danes travel behavior 1996-2013

    DEFF Research Database (Denmark)

    Nielsen, Thomas Alexander Sick; Mulalic, Ismir; Christiansen, Hjalmar

    2016-01-01

    Denmark, as Europes second cycling nation after the Netherlands, has a cycling mode share of around 15% of all trips. Cycling was decreasing slowly through the 1990s into the 2000s, which inspired substantial investments and promotional efforts to reverse the trend. This paper uses Danish micro......-level travel survey data series from 1996 through 2013 to analyze the trend in cycling as main or access mode, as well as the significance of background variables representing key spatial and societal trends. The analysis confirms that the general trend in cycling from 1996 to 2013 was negative irrespective...

  3. Delineation of human prostate cancer evolution identifies chromothripsis as a polyclonal event and FKBP4 as a potential driver of castration resistance.

    Science.gov (United States)

    Federer-Gsponer, Joël R; Quintavalle, Cristina; Müller, David C; Dietsche, Tanja; Perrina, Valeria; Lorber, Thomas; Juskevicius, Darius; Lenkiewicz, Elisabeth; Zellweger, Tobias; Gasser, Thomas; Barrett, Michael T; Rentsch, Cyrill A; Bubendorf, Lukas; Ruiz, Christian

    2018-02-27

    Understanding the evolutionary mechanisms and genomic events leading to castration resistant (CR) prostate cancer (PC) is key to improve the outcome of this otherwise deadly disease. Here, we delineated the tumour history of seven patients progressing to castration resistance by analysing matched prostate cancer tissues before and after castration. We performed genomic profiling of DNA-content based flow-sorted populations in order to define the different evolutionary patterns. In one patient, we discovered that a catastrophic genomic event, known as chromothripsis, resulted in multiple CRPC tumour populations with distinct, potentially advantageous copy number aberrations, including an amplification of FK506 Binding Protein 4 (FKBP4, also known as FKBP52), a protein enhancing the transcriptional activity of androgen receptor signalling. Analysis of FKBP4 protein expression in more than 500 prostate cancer samples revealed increased expression in CRPC in comparison to hormone-naïve (HN) PC. Moreover, elevated FKBP4 expression was associated with poor survival of patients with HNPC. We propose FKBP4 amplification and overexpression as a selective advantage in the process of tumour evolution and as a potential mechanism associated with the development of CRPC. Furthermore, FKBP4 interaction with androgen receptor may provide a potential therapeutic target in PC. This article is protected by copyright. All rights reserved.

  4. Identifying Drivers of Collective Action for the Co-management of Coastal Marine Fisheries in the Gulf of Nicoya, Costa Rica

    Science.gov (United States)

    García Lozano, Alejandro J.; Heinen, Joel T.

    2016-04-01

    Small-scale fisheries are important for preventing poverty, sustaining local economies, and rural livelihoods, but tend to be negatively impacted by traditional forms of management and overexploitation among other factors. Marine Areas for Responsible Fishing (Áreas Marinas de Pesca Responsable, AMPR) have emerged as a new model for the co-management of small-scale fisheries in Costa Rica, one that involves collaboration between fishers, government agencies, and NGOs. The primary objective of this paper is to elucidate some of the key variables that influence collective action among small-scale fishers in Tárcoles, a community in the Gulf of Nicoya. We examined collective action for the formation of a local marketing cooperative and participation in management through the AMPR. We apply the social-ecological framework as a diagnostic and organizational tool in the analysis of several types of qualitative data, including interviews with key informants, informal interviews, legal documents, and gray literature. Findings illustrate the importance of socio-economic community attributes (e.g., group size, homogeneity, previous cooperation), as well as that of social (e.g., equity) and ecological (e.g., improved stocks) outcomes perceived as favorable by actors. In addition, our work demonstrates the importance of certain kinds of external NGOs for facilitating and sustaining collective action.

  5. Label-free quantitative proteomic profiling identifies disruption of ubiquitin homeostasis as a key driver of Schwann cell defects in spinal muscular atrophy.

    Science.gov (United States)

    Aghamaleky Sarvestany, Arwin; Hunter, Gillian; Tavendale, Amy; Lamont, Douglas J; Llavero Hurtado, Maica; Graham, Laura C; Wishart, Thomas M; Gillingwater, Thomas H

    2014-11-07

    Low levels of survival of motor neuron (SMN) protein cause the neuromuscular disease spinal muscular atrophy (SMA), characterized by degeneration of lower motor neurons and atrophy of skeletal muscle. Recent work demonstrated that low levels of SMN also trigger pathological changes in Schwann cells, leading to abnormal axon myelination and disrupted deposition of extracellular matrix proteins in peripheral nerve. However, the molecular pathways linking SMN depletion to intrinsic defects in Schwann cells remained unclear. Label-free proteomics analysis of Schwann cells isolated from SMA mouse peripheral nerve revealed widespread changes to the Schwann cell proteome, including disruption to growth/proliferation, cell death/survival, and molecular transport pathways. Functional clustering analyses revealed significant disruption to a number of proteins contributing to ubiquitination pathways, including reduced levels of ubiquitin-like modifier activating enzyme 1 (Uba1). Pharmacological suppression of Uba1 in Schwann cells was sufficient to reproduce the defective myelination phenotype seen in SMA. These findings demonstrate an important role for SMN protein and ubiquitin-dependent pathways in maintaining Schwann cell homeostasis and provide significant additional experimental evidence supporting a key role for ubiquitin pathways and, Uba1 in particular, in driving SMA pathogenesis across a broad range of cells and tissues.

  6. Statistical analysis of road-vehicle-driver interaction as an enabler to designing behavioural models

    International Nuclear Information System (INIS)

    Chakravarty, T; Chowdhury, A; Ghose, A; Bhaumik, C; Balamuralidhar, P

    2014-01-01

    Telematics form an important technology enabler for intelligent transportation systems. By deploying on-board diagnostic devices, the signatures of vehicle vibration along with its location and time are recorded. Detailed analyses of the collected signatures offer deep insights into the state of the objects under study. Towards that objective, we carried out experiments by deploying telematics device in one of the office bus that ferries employees to office and back. Data is being collected from 3-axis accelerometer, GPS, speed and the time for all the journeys. In this paper, we present initial results of the above exercise by applying statistical methods to derive information through systematic analysis of the data collected over four months. It is demonstrated that the higher order derivative of the measured Z axis acceleration samples display the properties Weibull distribution when the time axis is replaced by the amplitude of such processed acceleration data. Such an observation offers us a method to predict future behaviour where deviations from prediction are classified as context-based aberrations or progressive degradation of the system. In addition we capture the relationship between speed of the vehicle and median of the jerk energy samples using regression analysis. Such results offer an opportunity to develop a robust method to model road-vehicle interaction thereby enabling us to predict such like driving behaviour and condition based maintenance etc

  7. Analysis and Stabilization of Chaos in Permanent Magnet DC Motor Driver

    Science.gov (United States)

    Tahir, Fadhil Rahma; Abdul-Hassan, Khalid M.; Abdullah, Mohammed Abbas; Pham, Viet-Thanh; Hoang, Thang Manh; Wang, Xiong

    In this paper, the nonlinear dynamics of permanent magnet (PM) DC motor drive with proportional (P) controller have been investigated. The drive system shows different dynamical behaviors; periodic, quasi-periodic, and chaotic behaviors, and those are characterized by using bifurcation diagram, phase portrait, and time series. The stability analysis of period-1 behavior is studied by using Filippov’s method, the analytic results show good agreement with simulation ones. Then, the stabilization of chaos to fixed point is carried out by using the sliding mode control (SMC). In addition, experimentally the nonlinear dynamics and the proposed stabilization method to PM DC motor drive system have been achieved by using a microcontroller. For the first time, it is noted that when the system is in chaotic dynamics, the vibration of the motor is increased approximately 400% compared with the system in periodic dynamical behavior.

  8. Drivers of Vaginal Drug Delivery System Acceptability from Internet-Based Conjoint Analysis.

    Directory of Open Access Journals (Sweden)

    Rachel J Primrose

    Full Text Available Vaginal microbicides potentially empower women to protect themselves from HIV and other sexually transmitted infections (STIs, especially when culture, religion, or social status may prevent them from negotiating condom use. The open literature contains minimal information on factors that drive user acceptability of women's health products or vaginal drug delivery systems. By understanding what women find to be most important with regard to sensory properties and product functionality, developers can iteratively formulate a more desirable product. Conjoint analysis is a technique widely used in market research to determine what combination of elements influence a consumer's willingness to try or use a product. We applied conjoint analysis here to better understand what sexually-active woman want in a microbicide, toward our goal of formulating a product that is highly acceptable to women. Both sensory and non-sensory attributes were tested, including shape, color, wait time, partner awareness, messiness/leakage, duration of protection, and functionality. Heterosexually active women between 18 and 35 years of age in the United States (n = 302 completed an anonymous online conjoint survey using IdeaMap software. Attributes (product elements were systematically presented in various combinations; women rated these combinations of a 9-point willingness-to-try scale. By coupling systematic combinations and regression modeling, we can estimate the unique appeal of each element. In this population, a multifunctional product (i.e., broad spectrum STI protection, coupled with conception is far more desirable than a microbicide targeted solely for HIV protection; we also found partner awareness and leakage are potentially strong barriers to use.

  9. Drivers of Vaginal Drug Delivery System Acceptability from Internet-Based Conjoint Analysis.

    Science.gov (United States)

    Primrose, Rachel J; Zaveri, Toral; Bakke, Alyssa J; Ziegler, Gregory R; Moskowitz, Howard R; Hayes, John E

    2016-01-01

    Vaginal microbicides potentially empower women to protect themselves from HIV and other sexually transmitted infections (STIs), especially when culture, religion, or social status may prevent them from negotiating condom use. The open literature contains minimal information on factors that drive user acceptability of women's health products or vaginal drug delivery systems. By understanding what women find to be most important with regard to sensory properties and product functionality, developers can iteratively formulate a more desirable product. Conjoint analysis is a technique widely used in market research to determine what combination of elements influence a consumer's willingness to try or use a product. We applied conjoint analysis here to better understand what sexually-active woman want in a microbicide, toward our goal of formulating a product that is highly acceptable to women. Both sensory and non-sensory attributes were tested, including shape, color, wait time, partner awareness, messiness/leakage, duration of protection, and functionality. Heterosexually active women between 18 and 35 years of age in the United States (n = 302) completed an anonymous online conjoint survey using IdeaMap software. Attributes (product elements) were systematically presented in various combinations; women rated these combinations of a 9-point willingness-to-try scale. By coupling systematic combinations and regression modeling, we can estimate the unique appeal of each element. In this population, a multifunctional product (i.e., broad spectrum STI protection, coupled with conception) is far more desirable than a microbicide targeted solely for HIV protection; we also found partner awareness and leakage are potentially strong barriers to use.

  10. Socioeconomic drivers of FFCO2 emissions in the LA Basin: Analysis of the Hestia version 2.0 results

    Science.gov (United States)

    O'Keeffe, D.; Gurney, K. R.; Liang, J.; Patarasuk, R.; Huang, J.; Hutchins, M.

    2016-12-01

    Urban landscapes are currently home to over 50% of the world's population, a number that is projected to continue to rise for the rest of this century. Many cities are now actively developing their own climate change policies that are independent of the nation state. The Los Angeles metropolitan area is the most populous region in California with 12,872,808 residents (census 2010). In addition to California's Assembly Bill 32 (2006) which mandates a statewide reduction of GHG emissions to 1990 levels by 2020, the city of Los Angeles released its sustainability pLAn (2015) which sets out to achieve a cleaner environment, a stronger economy, and a commitment to equity through 14 specific target areas. These include reducing Greenhouse gas (GHG) emissions by at least 55% by 2035 from a 2008 baseline, and improving air quality. Through sectoral regression analysis of the bottom-up Hestia FFCO2 emissions data product version 2.0, this study provides novel, spatially explicit and policy relevant results that will enable the targeted use of resources to reduce GHG and improve air quality at strategic intervention points. The study incorporates socio-economic census data along with the emissions characteristics of Hestia to analyze the dominant drivers of FFCO2 emissions in the residential, commercial and transportation sectors. In particular, building and road types and densities, population, race, income, education characteristics and hotspot analysis. In addition to scope 1 emission dynamics, we also analyze electricity consumption emissions at the demand-side (scope 2). This study will provide stakeholders and policy makers with clear and easily digestible results that will enable efficient, targeted policy options for the city of Los Angeles in achieving its ambitious sustainability goals.

  11. Cancer Driver Log (CanDL): Catalog of Potentially Actionable Cancer Mutations.

    Science.gov (United States)

    Damodaran, Senthilkumar; Miya, Jharna; Kautto, Esko; Zhu, Eliot; Samorodnitsky, Eric; Datta, Jharna; Reeser, Julie W; Roychowdhury, Sameek

    2015-09-01

    Massively parallel sequencing technologies have enabled characterization of genomic alterations across multiple tumor types. Efforts have focused on identifying driver mutations because they represent potential targets for therapy. However, because of the presence of driver and passenger mutations, it is often challenging to assign the clinical relevance of specific mutations observed in patients. Currently, there are multiple databases and tools that provide in silico assessment for potential drivers; however, there is no comprehensive resource for mutations with functional characterization. Therefore, we created an expert-curated database of potentially actionable driver mutations for molecular pathologists to facilitate annotation of cancer genomic testing. We reviewed scientific literature to identify variants that have been functionally characterized in vitro or in vivo as driver mutations. We obtained the chromosome location and all possible nucleotide positions for each amino acid change and uploaded them to the Cancer Driver Log (CanDL) database with associated literature reference indicating functional driver evidence. In addition to a simple interface, the database allows users to download all or selected genes as a comma-separated values file for incorporation into their own analysis pipeline. Furthermore, the database includes a mechanism for third-party contributions to support updates for novel driver mutations. Overall, this freely available database will facilitate rapid annotation of cancer genomic testing in molecular pathology laboratories for mutations. Copyright © 2015 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.

  12. Investigations on Driver Unique Identification from Smartphone’s GPS Data Alone

    Directory of Open Access Journals (Sweden)

    Arijit Chowdhury

    2018-01-01

    Full Text Available Driver identification is an emerging area of interest in vehicle telematics, automobile control, and insurance. Recent body of works indicates that it may be possible to uniquely identify a driver using multiple dedicated sensors. In this paper, we present an approach for driver identification using smartphone GPS data alone. For our experiments, we collected data from 38 drivers for two months. We quantified the driver’s natural style by extracting a set of 137 statistical features from data generated for each completed trip. The analysis shows that, for the “driver identification” problem, an average accuracy of 82.3% is achieved for driver groups of 4-5 drivers. This is comparable to the state of the arts where mostly a multisensor approach has been taken. Further, it is shown that certain behavioral attributes like high driving skill impact identification accuracy. We observe that Random Forest classifier offers the best results. These results have great implications for various stakeholders since the proposed method can identify a driver based on his/her naturalistic driving style which is quantified in terms of statistical parameters extracted from only GPS data.

  13. The psychology of intelligence analysis: drivers of prediction accuracy in world politics.

    Science.gov (United States)

    Mellers, Barbara; Stone, Eric; Atanasov, Pavel; Rohrbaugh, Nick; Metz, S Emlen; Ungar, Lyle; Bishop, Michael M; Horowitz, Michael; Merkle, Ed; Tetlock, Philip

    2015-03-01

    This article extends psychological methods and concepts into a domain that is as profoundly consequential as it is poorly understood: intelligence analysis. We report findings from a geopolitical forecasting tournament that assessed the accuracy of more than 150,000 forecasts of 743 participants on 199 events occurring over 2 years. Participants were above average in intelligence and political knowledge relative to the general population. Individual differences in performance emerged, and forecasting skills were surprisingly consistent over time. Key predictors were (a) dispositional variables of cognitive ability, political knowledge, and open-mindedness; (b) situational variables of training in probabilistic reasoning and participation in collaborative teams that shared information and discussed rationales (Mellers, Ungar, et al., 2014); and (c) behavioral variables of deliberation time and frequency of belief updating. We developed a profile of the best forecasters; they were better at inductive reasoning, pattern detection, cognitive flexibility, and open-mindedness. They had greater understanding of geopolitics, training in probabilistic reasoning, and opportunities to succeed in cognitively enriched team environments. Last but not least, they viewed forecasting as a skill that required deliberate practice, sustained effort, and constant monitoring of current affairs. PsycINFO Database Record (c) 2015 APA, all rights reserved.

  14. Prices versus policy: An analysis of the drivers of the primary fossil fuel mix

    International Nuclear Information System (INIS)

    Atalla, Tarek; Blazquez, Jorge; Hunt, Lester C.; Manzano, Baltasar

    2017-01-01

    Energy policymakers often attempt to shape their countries' energy mix, rather than leave it purely to market forces. By calibrating and simulating a Dynamic Stochastic General Equilibrium (DSGE) model, this paper analyzes the primary fossil fuel mix in the USA and compares it to Germany and the UK, given the different evolution of the mixes and the different roles played by relative prices and policy in North America and Europe. It is found that the model explains well the evolution of the primary fossil fuel mix in the USA for the period 1980–2014, suggesting that relative fossil fuel prices generally dominated in determining the mix during this time. However, this is not the case for Germany and the UK. For both countries, the model performs well only for the period after the market-oriented reforms in the 1990s. Additionally, the volatility of private consumption and output for the pre- and post-reform periods is evaluated for Germany and the UK and it is found that the liberalized energy markets brought about a transition from coal to natural gas, but with increased macroeconomic volatility. - Highlights: • Macroeconomic analysis of the importance of prices vs policy in driving the primary fossil fuel mix. • USA primary fossil fuel mix chiefly driven by relative prices since the early 1980s. • Germany and UK primary fossil fuel mix chiefly driven by policy until 1990s. • Germany and UK primary fossil fuel mix chiefly driven by relative prices since early to mid-1990s. • Transition from coal to natural gas in Germany and UK increased macroeconomic volatility.

  15. Chinese energy investments in Europe: An analysis of policy drivers and approaches

    International Nuclear Information System (INIS)

    Liedtke, Stephan

    2017-01-01

    Enhancing the understanding of China-EU energy relations, the article examines Chinese energy investments in Europe from 2008 to 2015 and analyzes the energy interests and policy approaches underpinning them. Analysis of this data shows that within the EU, 30 Chinese investments largely focused on the oil and gas sector, especially through the acquisition of company shares. Chinese energy investments in Europe reflect a clear political and commercial strategy that addresses the PRC's need to balance supply chain security of fossil fuels, environmentally friendlier energy production and use as well as to enhance the market position and energy-industrial capabilities of Chinese state-owned or state-supervised energy companies. Based on a comprehensive set of domestic incentives for international investment the Chinese penetration of the European energy sector is embedded within two levels of political cooperation. The first level revolves around bilateral investment agreements between China and 27 EU member states. On the second level, China and the EU have established a variety of formats that guide their energy cooperation. The conclusion of the proposed bilateral investment agreement between the PRC and the EU would create a uniform investment environment across the continent and facilitate mutual economic benefits for both parties. - Highlights: • A timeline of Chinese energy investments in Europe, 2008–2015, is presented. • Two tables dividing Chinese investments by sector and company type are presented. • Most Chinese investments concentrate on shares of Europe's fossil fuel sector. • Chinese investments rest on bilateral agreements with EU members. • Chinese investments in EU serve ‘internationalization’ of Chinese companies.

  16. Frameshift mutational target gene analysis identifies similarities and differences in constitutional mismatch repair-deficiency and Lynch syndrome.

    Science.gov (United States)

    Maletzki, Claudia; Huehns, Maja; Bauer, Ingrid; Ripperger, Tim; Mork, Maureen M; Vilar, Eduardo; Klöcking, Sabine; Zettl, Heike; Prall, Friedrich; Linnebacher, Michael

    2017-07-01

    Mismatch-repair deficient (MMR-D) malignancies include Lynch Syndrome (LS), which is secondary to germline mutations in one of the MMR genes, and the rare childhood-form of constitutional mismatch repair-deficiency (CMMR-D); caused by bi-allelic MMR gene mutations. A hallmark of LS-associated cancers is microsatellite instability (MSI), characterized by coding frameshift mutations (cFSM) in target genes. By contrast, tumors arising in CMMR-D patients are thought to display a somatic mutation pattern differing from LS. This study has the main goal to identify cFSM in MSI target genes relevant in CMMR-D and to compare the spectrum of common somatic mutations, including alterations in DNA polymerases POLE and D1 between LS and CMMR-D. CMMR-D-associated tumors harbored more somatic mutations compared to LS cases, especially in the TP53 gene and in POLE and POLD1, where novel mutations were additionally identified. Strikingly, MSI in classical mononucleotide markers BAT40 and CAT25 was frequent in CMMR-D cases. MSI-target gene analysis revealed mutations in CMMR-D-associated tumors, some of them known to be frequently hit in LS, such as RNaseT2, HT001, and TGFβR2. Our results imply a general role for these cFSM as potential new drivers of MMR-D tumorigenesis. © 2017 Wiley Periodicals, Inc.

  17. Genome-wide DNA methylation analysis identifies MEGF10 as a novel epigenetically repressed candidate tumor suppressor gene in neuroblastoma.

    Science.gov (United States)

    Charlet, Jessica; Tomari, Ayumi; Dallosso, Anthony R; Szemes, Marianna; Kaselova, Martina; Curry, Thomas J; Almutairi, Bader; Etchevers, Heather C; McConville, Carmel; Malik, Karim T A; Brown, Keith W

    2017-04-01

    Neuroblastoma is a childhood cancer in which many children still have poor outcomes, emphasising the need to better understand its pathogenesis. Despite recent genome-wide mutation analyses, many primary neuroblastomas do not contain recognizable driver mutations, implicating alternate molecular pathologies such as epigenetic alterations. To discover genes that become epigenetically deregulated during neuroblastoma tumorigenesis, we took the novel approach of comparing neuroblastomas to neural crest precursor cells, using genome-wide DNA methylation analysis. We identified 93 genes that were significantly differentially methylated of which 26 (28%) were hypermethylated and 67 (72%) were hypomethylated. Concentrating on hypermethylated genes to identify candidate tumor suppressor loci, we found the cell engulfment and adhesion factor gene MEGF10 to be epigenetically repressed by DNA hypermethylation or by H3K27/K9 methylation in neuroblastoma cell lines. MEGF10 showed significantly down-regulated expression in neuroblastoma tumor samples; furthermore patients with the lowest-expressing tumors had reduced relapse-free survival. Our functional studies showed that knock-down of MEGF10 expression in neuroblastoma cell lines promoted cell growth, consistent with MEGF10 acting as a clinically relevant, epigenetically deregulated neuroblastoma tumor suppressor gene. © 2016 The Authors. Molecular Carcinogenesis Published by Wiley Periodicals, Inc. © 2016 The Authors. Molecular Carcinogenesis Published by Wiley Periodicals, Inc.

  18. Genome‐wide DNA methylation analysis identifies MEGF10 as a novel epigenetically repressed candidate tumor suppressor gene in neuroblastoma

    Science.gov (United States)

    Charlet, Jessica; Tomari, Ayumi; Dallosso, Anthony R.; Szemes, Marianna; Kaselova, Martina; Curry, Thomas J.; Almutairi, Bader; Etchevers, Heather C.; McConville, Carmel; Malik, Karim T. A.

    2016-01-01

    Neuroblastoma is a childhood cancer in which many children still have poor outcomes, emphasising the need to better understand its pathogenesis. Despite recent genome‐wide mutation analyses, many primary neuroblastomas do not contain recognizable driver mutations, implicating alternate molecular pathologies such as epigenetic alterations. To discover genes that become epigenetically deregulated during neuroblastoma tumorigenesis, we took the novel approach of comparing neuroblastomas to neural crest precursor cells, using genome‐wide DNA methylation analysis. We identified 93 genes that were significantly differentially methylated of which 26 (28%) were hypermethylated and 67 (72%) were hypomethylated. Concentrating on hypermethylated genes to identify candidate tumor suppressor loci, we found the cell engulfment and adhesion factor gene MEGF10 to be epigenetically repressed by DNA hypermethylation or by H3K27/K9 methylation in neuroblastoma cell lines. MEGF10 showed significantly down‐regulated expression in neuroblastoma tumor samples; furthermore patients with the lowest‐expressing tumors had reduced relapse‐free survival. Our functional studies showed that knock‐down of MEGF10 expression in neuroblastoma cell lines promoted cell growth, consistent with MEGF10 acting as a clinically relevant, epigenetically deregulated neuroblastoma tumor suppressor gene. © 2016 The Authors. Molecular Carcinogenesis Published by Wiley Periodicals, Inc. PMID:27862318

  19. Health and safety strategies of urban taxi drivers.

    Science.gov (United States)

    Burgel, Barbara Jean; Gillen, Marion; White, Mary Castle

    2012-08-01

    This study describes health and safety concerns and self-care strategies of San Francisco taxi drivers. Focus groups and a written cross-sectional survey were done in a convenience sample of taxi drivers working in San Francisco. Sessions were audiotaped, transcribed in English, and independently coded to identify major health and safety themes, using thematic content analysis. Strategies to manage health and safety issues are the focus of this analysis. Five focus groups were held in 2009 with 36 participants. Major health and safety themes included stress, body pain, danger, vulnerable employment status, and concerns related to unhealthy working conditions. Self-care strategies included diffusion/decompression to manage stress, maintaining a positive attitude, maintaining power and control, and practicing proactive self-care. Creative self-care strategies were described by taxi drivers to keep healthy and safe at work. These data will inform future self-care interventions to reduce health and safety risks of taxi driving.

  20. POLITICAL PROCESS DRIVERS OF CORRUPTION IN EASTERN EUROPE

    Directory of Open Access Journals (Sweden)

    Ada-Iuliana POPESCU

    2016-12-01

    Full Text Available Corruption stands as one of the many obstacles to the political and economic security of the Eastern European region. Thus, despite the political and economic instability in the region, Eastern European countries, in and outside of the European Union need to fight corruption collectively and individually. The task is difficult, but hope is justified because the causes of corruption in this part of the region are similar and anti-corruption expertise is available. We believe that a deeper analysis of corruption’s drivers can produce a better articulated and more efficient anti-corruption strategy. This strategy will create an anti-corruption infrastructure that will strengthen the Eastern European Partnership. As a prelude to the deeper analysis that we believe must be a part of this strategy, this paper identifies the main drivers of corruption in the Eastern European Partnership countries and explains why addressing these drivers will strengthen the Eastern European Partnership.

  1. Automobile Driver Fingerprinting

    Directory of Open Access Journals (Sweden)

    Enev Miro

    2016-01-01

    Full Text Available Today’s automobiles leverage powerful sensors and embedded computers to optimize efficiency, safety, and driver engagement. However the complexity of possible inferences using in-car sensor data is not well understood. While we do not know of attempts by automotive manufacturers or makers of after-market components (like insurance dongles to violate privacy, a key question we ask is: could they (or their collection and later accidental leaks of data violate a driver’s privacy? In the present study, we experimentally investigate the potential to identify individuals using sensor data snippets of their natural driving behavior. More specifically we record the in-vehicle sensor data on the controllerarea- network (CAN of a typical modern vehicle (popular 2009 sedan as each of 15 participants (a performed a series of maneuvers in an isolated parking lot, and (b drove the vehicle in traffic along a defined ~ 50 mile loop through the Seattle metropolitan area. We then split the data into training and testing sets, train an ensemble of classifiers, and evaluate identification accuracy of test data queries by looking at the highest voted candidate when considering all possible one-vs-one comparisons. Our results indicate that, at least among small sets, drivers are indeed distinguishable using only incar sensors. In particular, we find that it is possible to differentiate our 15 drivers with 100% accuracy when training with all of the available sensors using 90% of driving data from each person. Furthermore, it is possible to reach high identification rates using less than 8 minutes of training data. When more training data is available it is possible to reach very high identification using only a single sensor (e.g., the brake pedal. As an extension, we also demonstrate the feasibility of performing driver identification across multiple days of data collection

  2. [Activity of motorcycle taxi driver: risks and weaknesses self referred].

    Science.gov (United States)

    da Silva, Mariéli Brum; de Oliveira, Michele Braga; Fontana, Rosane Teresinha

    2011-01-01

    Descriptive research, with qualitative approach, that aimed to identify occupational hazards and weaknesses self-reported by motorcycle drivers. Data were collected in the first half of 2010 through interviews with twelve motorcycle drivers, invited to participate and work on two central points of a municipality in the state of Rio Grande do Sul, Brazil. Data were analyzed using thematic analysis, from which emerged five categories. According to subjects' perception, accidents and assaults represent the greatest risks of the profession. It can be inferred that the actions of health education and disease prevention should be governmental and no governmental strategies that would assign value to the health and safety of these workers.

  3. Assessing Reliability of Cellulose Hydrolysis Models to Support Biofuel Process Design – Identifiability and Uncertainty Analysis

    DEFF Research Database (Denmark)

    Sin, Gürkan; Meyer, Anne S.; Gernaey, Krist

    2010-01-01

    The reliability of cellulose hydrolysis models is studied using the NREL model. An identifiability analysis revealed that only 6 out of 26 parameters are identifiable from the available data (typical hydrolysis experiments). Attempting to identify a higher number of parameters (as done in the ori......The reliability of cellulose hydrolysis models is studied using the NREL model. An identifiability analysis revealed that only 6 out of 26 parameters are identifiable from the available data (typical hydrolysis experiments). Attempting to identify a higher number of parameters (as done...

  4. Healthcare Programmes for Truck Drivers in Sub-Saharan Africa: A Systematic Review and Meta-Analysis

    NARCIS (Netherlands)

    Lalla-Edward, Samanta Tresha; Fobosi, Siyabulela Christopher; Hankins, Catherine; Case, Kelsey; Venter, W. D. Francois; Gomez, Gabriela

    2016-01-01

    Truck drivers have unique health needs, and by virtue of their continuous travel, experience difficulty in accessing healthcare. Currently, planning for effective care is hindered by lack of knowledge about their health needs and about the impact of on-going programmes on this population's health

  5. Driver-Pressure-State-Impact-Response (DPSIR) analysis and risk assessment for soil compaction-A European perspective

    NARCIS (Netherlands)

    Schjønning, Per; Akker, van den J.J.H.; Keller, Thomas; Greve, M.H.; Lamandé, Mathieu; Simojoki, Asko; Stettler, Matthias; Arvidsson, Johan; Breuning-Madsen, Henrik

    2015-01-01

    Compaction of subsoil is a hidden but persistent damage that impairs a range of soil functions and ecosystem services. We analyzed the soil compaction issue in the Driver-Pressure-State-Impact-Response (DPSIR) context. The driving force (DPSIR-D) is the farmers' efforts to sustain economic

  6. Similar Students and Different Countries? An Analysis of the Barriers and Drivers for Erasmus Participation in Seven Countries

    Science.gov (United States)

    Beerkens, Maarja; Souto-Otero, Manuel; de Wit, Hans; Huisman, Jeroen

    2016-01-01

    Increasing participation in the Erasmus study abroad program in Europe is a clear policy goal, and student-reported barriers and drivers are regularly monitored. This article uses student survey data from seven countries to examine the extent to which student-level barriers can explain the considerable cross-country variation in Erasmus…

  7. Molecular Genetic Analysis of Ovarian Brenner Tumors and Associated Mucinous Epithelial Neoplasms: High Variant Concordance and Identification of Mutually Exclusive RAS Driver Mutations and MYC Amplification.

    Science.gov (United States)

    Tafe, Laura J; Muller, Kristen E; Ananda, Guruprasad; Mitchell, Talia; Spotlow, Vanessa; Patterson, Sara E; Tsongalis, Gregory J; Mockus, Susan M

    2016-03-01

    Benign ovarian Brenner tumors often are associated with mucinous cystic neoplasms, which are hypothesized to share a histogenic origin and progression, however, supporting molecular characterization is limited. Our goal was to identify molecular mechanisms linking these tumors. DNA from six Brenner tumors with paired mucinous tumors, two Brenner tumors not associated with a mucinous neoplasm, and two atypical proliferative (borderline) Brenner tumors was extracted from formalin-fixed, paraffin-embedded tumor samples and sequenced using a 358-gene next-generation sequencing assay. Variant calls were compared within tumor groups to assess somatic mutation profiles. There was high concordance of the variants between paired samples (40% to 75%; P tumor pairs showed KRAS hotspot driver mutations specifically in the mucinous tumor. In the two paired samples that lacked KRAS mutations, MYC amplification was detected in both of the mucinous and the Brenner components; MYC amplification also was detected in a third Brenner tumor. Five of the Brenner tumors had no reportable potential driver alterations. The two atypical proliferative (borderline) Brenner tumors both had RAS mutations. The high degree of coordinate variants between paired Brenner and mucinous tumors supports a shared origin or progression. Differences observed in affected genes and pathways, particularly involving RAS and MYC, may point to molecular drivers of a divergent phenotype and progression of these tumors. Copyright © 2016 American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.

  8. Key drivers of airline loyalty

    Science.gov (United States)

    Dolnicar, Sara; Grabler, Klaus; Grün, Bettina; Kulnig, Anna

    2011-01-01

    This study investigates drivers of airline loyalty. It contributes to the body of knowledge in the area by investigating loyalty for a number of a priori market segments identified by airline management and by using a method which accounts for the multi-step nature of the airline choice process. The study is based on responses from 687 passengers. Results indicate that, at aggregate level, frequent flyer membership, price, the status of being a national carrier and the reputation of the airline as perceived by friends are the variables which best discriminate between travellers loyal to the airline and those who are not. Differences in drivers of airline loyalty for a number of segments were identified. For example, loyalty programs play a key role for business travellers whereas airline loyalty of leisure travellers is difficult to trace back to single factors. For none of the calculated models satisfaction emerged as a key driver of airline loyalty. PMID:27064618

  9. Blood alcohol analysis alone versus comprehensive toxicological analysis - Systematic investigation of missed co-ingested other drugs in suspected alcohol-impaired drivers.

    Science.gov (United States)

    Steuer, Andrea E; Eisenbeiss, Lisa; Kraemer, Thomas

    2016-10-01

    Driving under the influence of alcohol and/or drugs (DUID) is a safety issue of increasing public concern. When a police officer has reasonable grounds to classify a driver as impaired, he may arrange for a blood sample to be taken. In many countries, alcohol analysis only is ordered if impairment is suspected to be exclusively due to alcohol while comprehensive toxicological screening will be performed if additional suspicion for other illegal drugs of abuse (DoA) or medicinal drugs is on hand. The aim of the present study was firstly to evaluate whether signs of impairment can be differentiated to be caused by alcohol alone or a combination of alcohol and other driving-impairing drugs and secondly to which extent additional drugs are missed in suspected alcohol-impaired drivers. A total of 293 DUID cases (negative n=41; alcohol positive only, n=131; alcohol+active drug positive, n=121) analyzed in 2015 in the Canton of Zurich were evaluated for their documented impairment symptoms by translating these into a severity score and comparing them applying principle component analysis (PCA). Additional 500 cases suspected for alcohol-impaired driving only were reanalyzed using comprehensive LC-MS/MS screening methods covering about 1500 compounds. Drugs detected were classified for severity of driving impairment using the classification system established in the DRUID study of the European Commission. As partly expected from the pharmacological and toxicological point of view, PCA analysis revealed no differences between signs of impairment caused by alcohol alone and those caused by alcohol plus at least one active drug. Breaking it down to different blood alcohol concentration ranges, only between 0.3 and 0.5g/kg trends could be observed in terms of more severe impairment for combined alcohol and drug intake. In the 500 blood samples retrospectively analyzed in this study, a total of 330 additional drugs could be detected; in some cases up to 9 co-ingested ones. In

  10. Driver Behavior During Overtaking Maneuvers from the 100-Car Naturalistic Driving Study.

    Science.gov (United States)

    Chen, Rong; Kusano, Kristofer D; Gabler, Hampton C

    2015-01-01

    Lane changes with the intention to overtake the vehicle in front are especially challenging scenarios for forward collision warning (FCW) designs. These overtaking maneuvers can occur at high relative vehicle speeds and often involve no brake and/or turn signal application. Therefore, overtaking presents the potential of erroneously triggering the FCW. A better understanding of driver behavior during lane change events can improve designs of this human-machine interface and increase driver acceptance of FCW. The objective of this study was to aid FCW design by characterizing driver behavior during lane change events using naturalistic driving study data. The analysis was based on data from the 100-Car Naturalistic Driving Study, collected by the Virginia Tech Transportation Institute. The 100-Car study contains approximately 1.2 million vehicle miles of driving and 43,000 h of data collected from 108 primary drivers. In order to identify overtaking maneuvers from a large sample of driving data, an algorithm to automatically identify overtaking events was developed. The lead vehicle and minimum time to collision (TTC) at the start of lane change events was identified using radar processing techniques developed in a previous study. The lane change identification algorithm was validated against video analysis, which manually identified 1,425 lane change events from approximately 126 full trips. Forty-five drivers with valid time series data were selected from the 100-Car study. From the sample of drivers, our algorithm identified 326,238 lane change events. A total of 90,639 lane change events were found to involve a closing lead vehicle. Lane change events were evenly distributed between left side and right side lane changes. The characterization of lane change frequency and minimum TTC was divided into 10 mph speed bins for vehicle travel speeds between 10 and 90 mph. For all lane change events with a closing lead vehicle, the results showed that drivers change

  11. Analysis of the spatial dynamics and drivers of forest cover change in the Lempa River Basin of El Salvador

    Science.gov (United States)

    Castaneda, Hector

    This work studies the changes of forest cover that have happened in the Lempa River Basin of El Salvador during the period 1979-2003. Although historically the trend has been towards the loss of forest cover since colonial times, over the period of study a large increase in forest cover was detected. The main tool of evaluation was the analysis of LANDSAT satellite imagery. Images for the dates 1979, 1990-91, and 2003 were classified into forest and noon-forest land covers. Then the changes in land cover were analyzed to determine what were the social, geophysical and climatic drivers determining why and where these new forest appeared. The results indicate that there has been an overall increase in forest cover from 20% in 1979 to 43% in 2003. Although there has been extensive deforestation, this has happened mostly around the main urban centers within the basin. In the more rural and remote areas, the tendency has been towards a resurgence in forest cover. The increase in forest was found to be significantly related to remittances, inaccessibility to roads and markets, density of urban populations, poverty and the civil war of the 1980s. Among the geospatial factors that determined where deforestation and reforestation happened were distance to roads and urban centers, slope, elevation, land use capability, and irrigation potential. The results indicate that the tendency in the future will be towards further reforestation but at a slower rate. Although reforestation and deforestation happened simultaneously, there are clear differences in the spatial patterns that each of these phenomena follow. In terms of climate, it was found areas subjected to inter-annual rainfall extremes due to El Nino Southern Oscillation, particularly areas with low agricultural potential, were more likely to be abandoned and left to revert to forest than those with more stable rainfall. The results of this study support the hypothesis that El Salvador is undergoing a Forest Transition

  12. Physics at an upgraded Fermilab proton driver

    Energy Technology Data Exchange (ETDEWEB)

    Geer, S.; /Fermilab

    2005-07-01

    In 2004 the Fermilab Long Range Planning Committee identified a new high intensity Proton Driver as an attractive option for the future, primarily motivated by the recent exciting developments in neutrino physics. Over the last few months a physics study has developed the physics case for the Fermilab Proton Driver. The potential physics opportunities are discussed.

  13. Reducing risky driver behaviour through the implementation of a driver risk management system

    Directory of Open Access Journals (Sweden)

    Rose Luke

    2014-11-01

    Full Text Available South Africa has one of the highest incidences of road accidents in the world. Most accidents are avoidable and are caused by driver behaviour and errors. The purpose of this article was to identify the riskiest driver behaviours in commercial fleets in South Africa, to determine the business impact of such behaviour, to establish a framework for the management of risky driver behaviour and to test the framework by applying a leading commercial driver behaviour management system as a case study. The case study comprised three South African commercial fleets. Using data from these fleets, critical incident triangles were used to determine the ratio data of risky driver behaviour to near-collisions and collisions. Based on managing the riskiest driver behaviours as causes of more serious incidents and accidents, the results indicated that through the implementation of an effective driver risk management system, risky incidents were significantly reduced.

  14. The Impact of Driver Inattention on Near-Crash/Crash Risk: An Analysis Using the 100-Car Naturalistic Driving Study Data

    OpenAIRE

    Klauer, Sheila G.; Dingus, Thomas A.; Neale, Vicki L.; Sudweeks, Jeremy D.; Ramsey, D. J.

    2006-01-01

    The purpose of this report was to conduct in-depth analyses of driver inattention using the driving data collected in the 100-Car Naturalistic Driving Study. An additional database of baseline epochs was reduced from the raw data and used in conjunction with the crash and near-crash data identified as part of the original 100-Car Study to account for exposure and establish near-crash/crash risk. The analyses presented in this report are able to establish direct relationships between driving b...

  15. Examination of Supplemental Driver Training and Online Basic Driver Education

    Science.gov (United States)

    2012-06-01

    This report describes supplemental driver training programs and online basic driver education. It coves supplemental driver training that : focused on knowledge and skills beyond those normally found in traditional driver education delivered in the U...

  16. Online driver's license renewal.

    Science.gov (United States)

    2015-09-01

    The Kentucky Department of Vehicle Regulation is exploring the possibility of developing and implementing online : drivers license renewal. The objective of this project was to: 1) evaluate online drivers license and REAL ID renewal : programs ...

  17. Key drivers for market penetration of biosimilars in Europe.

    Science.gov (United States)

    Rémuzat, Cécile; Dorey, Julie; Cristeau, Olivier; Ionescu, Dan; Radière, Guerric; Toumi, Mondher

    2017-01-01

    Background & Objectives : Potential drivers and barriers of biosimilar uptake were mainly analysed through qualitative approaches. The study objective was to conduct a quantitative analysis and identify drivers of biosimilar uptake of all available biosimilars in the European Union (EU). Methods : A three-step process was established to identify key drivers for the uptake of biosimilars in the top 10 EU member states (MS) pharmaceutical markets (Belgium, France, Germany, Greece, Hungary, Italy, Poland, Spain, Sweden, and the UK): (1) literature review to identify incentive policies in place to enhance biosimilars adoption; (2) assessment of biosimilar market dynamics based on database analysis; (3) regression model analysis on price using the following explicative variables: incentive policies; price difference between the biosimilar and the originator product; distribution channel; generic uptake and generic price cut; pharmaceutical expenditure per capita; and market competition. Results : At the study cut-off date, 20 biosimilars were available on the market. Incentive policies applied to biosimilars were found to be heterogeneous across countries, and uptakes of biosimilars were also very heterogeneous between different therapeutic classes and countries. Results from the model demonstrated that incentive policies and the date of first biosimilar market entry were correlated to biosimilar uptake. Pharmaceutical expenditure per capita and the highest generic uptake were inversely correlated with biosimilar uptake. Average generic price discount over originator and the number of biosimilars showed a trend toward statistical significance for correlation with biosimilar uptake, but did not reach the significance threshold. Biosimilar price discount over original biologic price, the number of analogues, and the distribution channel were not correlated with the biosimilar uptake. Conclusions : Understanding drivers of biosimilar uptake becomes a critical issue to

  18. Identifying and Revealing the Importance of Decision-Making Criteria for Health Technology Assessment: A Retrospective Analysis of Reimbursement Recommendations in Ireland.

    Science.gov (United States)

    Schmitz, Susanne; McCullagh, Laura; Adams, Roisin; Barry, Michael; Walsh, Cathal

    2016-09-01

    Decisions on reimbursement of health interventions in many jurisdictions are informed by health technology assessments (HTAs). Historically, the focus of these has often been cost effectiveness or cost utility, while other criteria were considered informally. More recently, there has been an increasing interest in the formal incorporation of additional criteria using multi-criteria decision analysis. Such an approach has not yet formally been part of decision-making policy in Ireland. The objective of this analysis is to demonstrate that cost effectiveness is not the only criterion influencing reimbursement decisions in Ireland. Furthermore, the aim is to reveal criteria that may have informally influenced reimbursement decisions in the past. A list of potential criteria was identified based on the literature, national guidelines and experience of the national HTA agency. Information on each of these criteria was sought for every assessment conducted in Ireland up to July 2015. A logistic regression was fitted to the data to identify influential parameters. Model selection was performed using the Bolasso method. Thirteen criteria were considered in the analysis. Two members of the HTA review team assessed the performance of the interventions against these criteria. Model selection suggests that the incremental cost-effectiveness ratio and quality of evidence could be important drivers of reimbursement recommendations in Ireland. Less important drivers suggested include the year of assessment, the level of uncertainty, as well as safety and tolerability. The analysis demonstrates that recommendations for or against the reimbursement of technologies in Ireland are not only driven by cost effectiveness. This highlights the need for more formal inclusion of criteria in the process, to improve transparency and ensure consistency.

  19. Traffic Safety through Driver Assistance and Intelligence

    Directory of Open Access Journals (Sweden)

    Heiner Bubb

    2011-05-01

    BMW, Daimler, Audi, Citroen, Lexus, VW, Opel, Peugeot, Renault, Chevrolet, Saab and Bosch. Both the contributions of research work concerning driving behavior analysis and driver assistance systems have to be aligned with a permanently updated interaction within the system of driver, vehicle and road traffic environment.

  20. A cohort of new adhesive proteins identified from transcriptomic analysis of mussel foot glands.

    Science.gov (United States)

    DeMartini, Daniel G; Errico, John M; Sjoestroem, Sebastian; Fenster, April; Waite, J Herbert

    2017-06-01

    The adaptive attachment of marine mussels to a wide range of substrates in a high-energy, saline environment has been explored for decades and is a significant driver of bioinspired wet adhesion research. Mussel attachment relies on a fibrous holdfast known as the byssus, which is made by a specialized appendage called the foot. Multiple adhesive and structural proteins are rapidly synthesized, secreted and moulded by the foot into holdfast threads. About 10 well-characterized proteins, namely the mussel foot proteins (Mfps), the preCols and the thread matrix proteins, are reported as representing the bulk of these structures. To explore how robust this proposition is, we sequenced the transcriptome of the glandular tissues that produce and secrete the various holdfast components using next-generation sequencing methods. Surprisingly, we found around 15 highly expressed genes that have not previously been characterized, but bear key similarities to the previously defined mussel foot proteins, suggesting additional contribution to byssal function. We verified the validity of these transcripts by polymerase chain reaction, cloning and Sanger sequencing as well as confirming their presence as proteins in the byssus. These newly identified proteins greatly expand the palette of mussel holdfast biochemistry and provide new targets for investigation into bioinspired wet adhesion. © 2017 The Author(s).

  1. Driver's anger state identification by using facial expression in ...

    African Journals Online (AJOL)

    Preventive safety system of vehicle is highlighted to reduce the number of traffic accidents. Driver's state adaptive driving safety system may be one of candidates of the safety system. Identifying driver's psychosomatic states is indispensable to establish those safety systems. Anger of driver state is often seen in traffic ...

  2. Different drivers create spatial vegetation cover and vertical structure ...

    African Journals Online (AJOL)

    Important drivers of woody cover in African savannas are rainfall, soil and nutrients, and disturbance factors, such as fire and herbivory. However, very little is known about how these drivers influence woody cover at specific height classes. The main aim of this study was to identify which of these drivers are the best ...

  3. Identifying Students at Risk: An Examination of Computer-Adaptive Measures and Latent Class Growth Analysis

    Science.gov (United States)

    Keller-Margulis, Milena; McQuillin, Samuel D.; Castañeda, Juan Javier; Ochs, Sarah; Jones, John H.

    2018-01-01

    Multitiered systems of support depend on screening technology to identify students at risk. The purpose of this study was to examine the use of a computer-adaptive test and latent class growth analysis (LCGA) to identify students at risk in reading with focus on the use of this methodology to characterize student performance in screening.…

  4. Identifying At-Risk Students in General Chemistry via Cluster Analysis of Affective Characteristics

    Science.gov (United States)

    Chan, Julia Y. K.; Bauer, Christopher F.

    2014-01-01

    The purpose of this study is to identify academically at-risk students in first-semester general chemistry using affective characteristics via cluster analysis. Through the clustering of six preselected affective variables, three distinct affective groups were identified: low (at-risk), medium, and high. Students in the low affective group…

  5. Technology and teen drivers.

    Science.gov (United States)

    Lee, John D

    2007-01-01

    The rapid evolution of computing, communication, and sensor technology is likely to affect young drivers more than others. The distraction potential of infotainment technology stresses the same vulnerabilities that already lead young drivers to crash more frequently than other drivers. Cell phones, text messaging, MP3 players, and other nomadic devices all present a threat because young drivers may lack the spare attentional capacity for vehicle control and the ability to anticipate and manage hazards. Moreover, young drivers are likely to be the first and most aggressive users of new technology. Fortunately, emerging technology can also support safe driving. Electronic stability control, collision avoidance systems, intelligent speed adaptation, and vehicle tracking systems can all help mitigate the threats to young drivers. However, technology alone is unlikely to make young drivers safer. One promising approach to tailoring technology to teen drivers is to extend proven methods for enhancing young driver safety. The success of graduated drivers license programs (GDL) and the impressive safety benefit of supervised driving suggest ways of tailoring technology to the needs of young drivers. To anticipate the effects of technology on teen driving it may be useful to draw an analogy between the effects of passengers and the effects of technology. Technology can act as a teen passenger and undermine safety or it can act as an adult passenger and enhance safety. Rapidly developing technology may have particularly large effects on teen drivers. To maximize the positive effects and minimize the negative effects will require a broad range of industries to work together. Ideally, vehicle manufacturers would work with infotainment providers, insurance companies, and policy makers to craft new technologies so that they accommodate the needs of young drivers. Without such collaboration young drivers will face even greater challenges to their safety as new technologies emerge.

  6. Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease

    NARCIS (Netherlands)

    Schunkert, Heribert; König, Inke R.; Kathiresan, Sekar; Reilly, Muredach P.; Assimes, Themistocles L.; Holm, Hilma; Preuss, Michael; Stewart, Alexandre F. R.; Barbalic, Maja; Gieger, Christian; Absher, Devin; Aherrahrou, Zouhair; Allayee, Hooman; Altshuler, David; Anand, Sonia S.; Andersen, Karl; Anderson, Jeffrey L.; Ardissino, Diego; Ball, Stephen G.; Balmforth, Anthony J.; Barnes, Timothy A.; Becker, Diane M.; Becker, Lewis C.; Berger, Klaus; Bis, Joshua C.; Boekholdt, S. Matthijs; Boerwinkle, Eric; Braund, Peter S.; Brown, Morris J.; Burnett, Mary Susan; Buysschaert, Ian; Carlquist, John F.; Chen, Li; Cichon, Sven; Codd, Veryan; Davies, Robert W.; Dedoussis, George; Dehghan, Abbas; Demissie, Serkalem; Devaney, Joseph M.; Diemert, Patrick; Do, Ron; Doering, Angela; Eifert, Sandra; Mokhtari, Nour Eddine El; Ellis, Stephen G.; Elosua, Roberto; Engert, James C.; Epstein, Stephen E.; de Faire, Ulf; Fischer, Marcus; Folsom, Aaron R.; Freyer, Jennifer; Gigante, Bruna; Girelli, Domenico; Gretarsdottir, Solveig; Gudnason, Vilmundur; Gulcher, Jeffrey R.; Halperin, Eran; Hammond, Naomi; Hazen, Stanley L.; Hofman, Albert; Horne, Benjamin D.; Illig, Thomas; Iribarren, Carlos; Jones, Gregory T.; Jukema, J. Wouter; Kaiser, Michael A.; Kaplan, Lee M.; Kastelein, John J. P.; Khaw, Kay-Tee; Knowles, Joshua W.; Kolovou, Genovefa; Kong, Augustine; Laaksonen, Reijo; Lambrechts, Diether; Leander, Karin; Lettre, Guillaume; Li, Mingyao; Lieb, Wolfgang; Loley, Christina; Lotery, Andrew J.; Mannucci, Pier M.; Maouche, Seraya; Martinelli, Nicola; McKeown, Pascal P.; Meisinger, Christa; Meitinger, Thomas; Melander, Olle; Merlini, Pier Angelica; Mooser, Vincent; Morgan, Thomas; Mühleisen, Thomas W.; Muhlestein, Joseph B.; Münzel, Thomas; Musunuru, Kiran; Nahrstaedt, Janja; Nelson, Christopher P.; Nöthen, Markus M.; Olivieri, Oliviero; Patel, Riyaz S.; Patterson, Chris C.; Peters, Annette; Peyvandi, Flora; Qu, Liming; Quyyumi, Arshed A.; Rader, Daniel J.; Rallidis, Loukianos S.; Rice, Catherine; Rosendaal, Frits R.; Rubin, Diana; Salomaa, Veikko; Sampietro, M. Lourdes; Sandhu, Manj S.; Schadt, Eric; Schäfer, Arne; Schillert, Arne; Schreiber, Stefan; Schrezenmeir, Jürgen; Schwartz, Stephen M.; Siscovick, David S.; Sivananthan, Mohan; Sivapalaratnam, Suthesh; Smith, Albert; Smith, Tamara B.; Snoep, Jaapjan D.; Soranzo, Nicole; Spertus, John A.; Stark, Klaus; Stirrups, Kathy; Stoll, Monika; Tang, W. H. Wilson; Tennstedt, Stephanie; Thorgeirsson, Gudmundur; Thorleifsson, Gudmar; Tomaszewski, Maciej; Uitterlinden, Andre G.; van Rij, Andre M.; Voight, Benjamin F.; Wareham, Nick J.; Wells, George A.; Wichmann, H.-Erich; Wild, Philipp S.; Willenborg, Christina; Witteman, Jaqueline C. M.; Wright, Benjamin J.; Ye, Shu; Zeller, Tanja; Ziegler, Andreas; Cambien, Francois; Goodall, Alison H.; Cupples, L. Adrienne; Quertermous, Thomas; März, Winfried; Hengstenberg, Christian; Blankenberg, Stefan; Ouwehand, Willem H.; Hall, Alistair S.; Deloukas, Panos; Thompson, John R.; Stefansson, Kari; Roberts, Robert; Thorsteinsdottir, Unnur; O'Donnell, Christopher J.; McPherson, Ruth; Erdmann, Jeanette; Samani, Nilesh J.

    2011-01-01

    We performed a meta-analysis of 14 genome-wide association studies of coronary artery disease (CAD) comprising 22,233 individuals with CAD (cases) and 64,762 controls of European descent followed by genotyping of top association signals in 56,682 additional individuals. This analysis identified 13

  7. Climatic and management drivers of CO2 exchanges by a production crop: analysis over three successive 4-year cycles.

    Science.gov (United States)

    Buysse, Pauline; Moureaux, Christine; Bodson, Bernard; Aubinet, Marc

    2016-04-01

    Carbon dioxide (CO2) exchanges between crops and the atmosphere are influenced by both climatic and crop management drivers. The investigated crop, situated at the Lonzée Terrestrial Observatory (candidate ICOS site) in the Hesbaye region in Belgium and managed for more than 70 years using conventional farming practices, was monitored over three complete sugar beet/winter wheat/potato/winter wheat rotation cycles from 2004 to 2016. Eddy covariance, automatic and manual soil chambers, leaf diffusion and biomass measurements were performed continuously in order to obtain the daily and seasonal Net Ecosystem Exchange (NEE), Gross Primary Productivity (GPP), total Ecosystem Respiration (TER), Net Primary Productivity (NPP), autotrophic respiration, heterotrophic respiration and Net Biome Production (NBP). Meteorological data and crop management practices were also recorded. Climatic and seasonal evolutions of the carbon balance components were studied and crop carbon budgets were computed both at the yearly and crop rotation cycle scales. On average over the 12 years, NEE was negative but NBP was positive, i.e. as far as carbon exportation by harvest are included in the budget, the site behaved as a carbon source. Impacts of both meteorological drivers and crop management operations on CO2 exchanges were analyzed and compared between crop types, years, and rotation cycles. The uncertainties associated to the carbon fluxes were also evaluated and discussed.

  8. Analysis of Emission Effects Related to Drivers' Compliance Rates for Cooperative Vehicle-Infrastructure System at Signalized Intersections.

    Science.gov (United States)

    Liao, Ruohua; Chen, Xumei; Yu, Lei; Sun, Xiaofei

    2018-01-12

    Unknown remaining time of signal phase at a signalized intersection generally results in extra accelerations and decelerations that increase variations of operating conditions and thus emissions. A cooperative vehicle-infrastructure system can reduce unnecessary speed changes by establishing communications between vehicles and the signal infrastructure. However, the environmental benefits largely depend on drivers' compliance behaviors. To quantify the effects of drivers' compliance rates on emissions, this study applied VISSIM 5.20 (Planung Transport Verkehr AG, Karlsruhe, Germany) to develop a simulation model for a signalized intersection, in which light duty vehicles were equipped with a cooperative vehicle-infrastructure system. A vehicle-specific power (VSP)-based model was used to estimate emissions. Based on simulation data, the effects of different compliance rates on VSP distributions, emission factors, and total emissions were analyzed. The results show the higher compliance rate decreases the proportion of VSP bin = 0, which means that the frequencies of braking and idling were lower and light duty vehicles ran more smoothly at the intersection if more light duty vehicles complied with the cooperative vehicle-infrastructure system, and emission factors for light duty vehicles decreased significantly as the compliance rate increased. The case study shows higher total emission reductions were observed with higher compliance rate for all of CO₂, NO x , HC, and CO emissions. CO₂ was reduced most significantly, decreased by 16% and 22% with compliance rates of 0.3 and 0.7, respectively.

  9. Drivers of Collaborative Advantage

    DEFF Research Database (Denmark)

    Weihe, Gudrid

    Drawing upon extant alliance literature, this article substantiates the argument that we need to look beyond mere structural and formative aspects of cooperation in order to fully understand the performance antecedents of public-private partnerships. Currently, scholarly work on operational......, the antecedents of collaborative advantage are theoretically examined, and the organizational competences contributing to collaborative success are identified. The conclusion is that operational processes and social dynamics are vital drivers of collaborative advantage. Another significant conclusion...... is that public management research can benefit from drawing upon existing alliance research. Alliance scholars have during the past couple of decades accumulated an impressive amount of knowledge on different aspects of inter-firm cooperation, and therefore the learning potential for public management scholars...

  10. Prevalence and factors associated with road traffic crash among taxi drivers in Hanoi, Vietnam.

    Science.gov (United States)

    La, Quang Ngoc; Lee, Andy H; Meuleners, Lynn B; Van Duong, Dat

    2013-01-01

    Injury due to road traffic crash is a major cause of ill health and premature deaths in developing countries. Taxis provide a main mode of public transport in Vietnam but there has been little research on the risk of crash for taxi drivers. This retrospective study collected information on taxi crashes for the period 2006-2009 by interviewing drivers from five taxi companies in Hanoi, Vietnam, using a structured questionnaire. Of the total 1214 participants recruited, 276 drivers reported at least one crash, giving an overall crash prevalence of 22.7%. Among the crashed group, 50 drivers (18.1%) were involved in two to four crashes. Logistic regression analysis further identified age of driver, type of driving licence, employment status, perceived sufficiency of income, seat-belt usage, and traffic infringement history to be significantly associated with the crash risk. Further prospective and qualitative studies are recommended to provide detailed crash characteristics as well as behaviour and perception of taxi drivers, so that an effective intervention can be developed to improve road safety and to prevent injury of these commercial drivers. Copyright © 2012 Elsevier Ltd. All rights reserved.

  11. Exploring older driver crash trend: New Jersey case study

    Directory of Open Access Journals (Sweden)

    Vanvi Trieu

    2014-04-01

    Full Text Available Older drivers age 65 and above are known to experience greater risk on the roadway as well as increasing the risk to other roadway users. Within the next 20 years, their population is expected to increase from 41 million in 2011 to 70 million in 2030. To address this foreseeable change, the nation's recent Moving Ahead for Progress in the 21st Century (MAP-21 act requires state and local governments to examine older drivers and pedestrian risks and implement countermeasures as appropriate. This research was conducted to assist agencies in strategising for future plans, programmes and initiatives to better address the problem presented. This was accomplished by performing a detailed engineering analysis on crash data of older drivers over a 10-year period (2003–2012 from the state of New Jersey to identify crash trends and characteristics. A major finding from this research was the increase in fatal crashes of older drivers as a function of age. Top-ranking collision types with other vehicles and non-vehicles were identified. Crashes as a function of seasonal change, climate and lighting conditions were also examined.

  12. Learning to drive with Advanced Driver Assistance Systems. Empirical studies of an online tutor and a personalised warning display on the effects of learnability and the acquisition of skill.

    OpenAIRE

    Simon, Julien

    2006-01-01

    Beside all the technical challenges concerning sensor quality and control algorithms one of the main issues related to the introduction of advanced driver assistance systems (ADAS) constitutes the human-machine interaction. This covers not only the physical interface between the driver and the system but also the understanding and cognitive model the driver needs to operate the system. The explorative analysis of a long-term field study of the use of ACC, was aimed at identifying characterist...

  13. Gene-expression Analysis Identifies Specific Patterns of Dysregulated Molecular Pathways and Genetic Subgroups of Human Hepatocellular Carcinoma.

    Science.gov (United States)

    Hass, Holger G; Vogel, Ulrich; Scheurlen, Michael; Jobst, Jürgen

    2016-10-01

    Hepatocellular carcinoma comprises of a group of heterogeneous tumors of different etiologies. The multistep process of liver carcinogenesis involves various genetic and phenotypic alterations. The molecular pathways and driver mutations involved are still under investigation. DNA micorarray technology was used to identify differentially expressed genes between human hepatocarcinoma and non-tumorous liver tissues to establish a unique specific gene-expression profile independent of the underlying liver disease. The validity of this global gene-expression profile was tested for its robustness against biopsies from other liver entities (cirrhotic and non-cirrhotic liver) by diagnosing HCC in blinded samples. Most of the consistently and strongly overexpressed genes were related to cell-cycle regulation and DNA replication [27 genes, e.g. cyclin B1, karyopherin alpha 2 (KPNA2), cyclin-dependent kinase 2 (CDC2)], G-protein depending signaling [e.g. Rac GTPase activating protein 1 (RACGAP1), Rab GTPase YPT1 homolog (RAB1), and ADP-ribosylation factor-like 2 (ARL2)] and extracellular matrix re-modelling or cytoskeleton structure [22 genes, e.g. serine proteinase inhibitor 1 kazal-type (SPINK1), osteopontin (OPN), secreted protein acidic and rich in cysteine (SPARC), collagen type 1 alpha2 (COL1A2), integrin alpha6 (ITGA6), and metalloproteinase 12 (MMP12)]. Furthermore, significantly differentially expressed genes (e.g. calcium-binding proteins, G-proteins, oncofetal proteins) in relation to tumor differentiation were detected using gene-expression analysis. It is suggested that these significantly dysregulated genes are highly specific and potentially utilizable as prognostic markers and may lead to a better understanding of human hepatocarcinogenesis. Copyright© 2016 International Institute of Anticancer Research (Dr. John G. Delinassios), All rights reserved.

  14. Passengers at risk: a multi-level analysis of the decision to travel with a drunk driver.

    Science.gov (United States)

    Nazif-Muñoz, José Ignacio; Blank-Gomel, Aharon

    2017-06-01

    To assess the impact of demographic, intrapersonal and environmental factors on the likelihood in Chile of becoming a passenger of an alcohol-impaired driver (PAID). Multi-level cross-sectional study. Data were acquired from two large-scale household surveys of representative samples of Chile's Metropolitan Region. The study included 1341 individuals ≥ 16 years; 696 of them reported engaging in PAID. The primary outcome was self-reported frequencies of having accepted a ride with an alcohol-impaired driver. PAID was associated significantly with 'age' [odds ratio (OR) = 0.99, 95% confidence interval (CI) = 0.98-0.99, P = 0.03], 'traffic safety beliefs' (OR = 0.17, 95% CI = 0.078-0.44, P = 0.00), 'time exposure as passenger' (OR = 1.00, 95% CI = 1.00-1.01, P = 0.00) and 'sex' (OR = 0.67, 95% CI = 0.53-0.87, P = 0.00). In women, PAID was associated with 'age' (OR = 0.98, 95% CI = 0.97-0.99, P = 0.02), 'traffic safety beliefs' (OR = 0.17, 95% CI = 0.05-0.59, P = 0.00) and 'low quality of public bus stops' (OR = 0.97, 95% CI = 0.98-0.99, P = 0.01). Younger women with high education levels were more likely to engage in PAID than younger women with low education levels. In men, PAID was associated with 'traffic safety beliefs' (OR = 0.13, 95% CI = 0.02-0.63, P = 0.01) and 'time exposure as passenger' (OR = 1.00, 95% CI = 1.00-1.01, P = 0.02). In Chile, men are at higher risk of becoming a passenger of an alcohol-impaired driver (PAID) than women. In women, PAID appears to be associated with lower traffic safety beliefs, lower quality of public bus stations and an interaction between education and age. In men, PAID is associated with lower traffic safety beliefs and higher time exposure as passenger. © 2017 Society for the Study of Addiction.

  15. Identifying influential individuals on intensive care units: using cluster analysis to explore culture.

    Science.gov (United States)

    Fong, Allan; Clark, Lindsey; Cheng, Tianyi; Franklin, Ella; Fernandez, Nicole; Ratwani, Raj; Parker, Sarah Henrickson

    2017-07-01

    The objective of this paper is to identify attribute patterns of influential individuals in intensive care units using unsupervised cluster analysis. Despite the acknowledgement that culture of an organisation is critical to improving patient safety, specific methods to shift culture have not been explicitly identified. A social network analysis survey was conducted and an unsupervised cluster analysis was used. A total of 100 surveys were gathered. Unsupervised cluster analysis was used to group individuals with similar dimensions highlighting three general genres of influencers: well-rounded, knowledge and relational. Culture is created locally by individual influencers. Cluster analysis is an effective way to identify common characteristics among members of an intensive care unit team that are noted as highly influential by their peers. To change culture, identifying and then integrating the influencers in intervention development and dissemination may create more sustainable and effective culture change. Additional studies are ongoing to test the effectiveness of utilising these influencers to disseminate patient safety interventions. This study offers an approach that can be helpful in both identifying and understanding influential team members and may be an important aspect of developing methods to change organisational culture. © 2017 John Wiley & Sons Ltd.

  16. Identifying Effective Spelling Interventions Using a Brief Experimental Analysis and Extended Analysis

    Science.gov (United States)

    McCurdy, Merilee; Clure, Lynne F.; Bleck, Amanda A.; Schmitz, Stephanie L.

    2016-01-01

    Spelling is an important skill that is crucial to effective written communication. In this study, brief experimental analysis procedures were used to examine spelling instruction strategies (e.g., whole word correction; word study strategy; positive practice; and cover, copy, and compare) for four students. In addition, an extended analysis was…

  17. Structural analysis of the genome of breast cancer cell line ZR-75-30 identifies twelve expressed fusion genes

    Directory of Open Access Journals (Sweden)

    Schulte Ina

    2012-12-01

    Full Text Available Abstract Background It has recently emerged that common epithelial cancers such as breast cancers have fusion genes like those in leukaemias. In a representative breast cancer cell line, ZR-75-30, we searched for fusion genes, by analysing genome rearrangements. Results We first analysed rearrangements of the ZR-75-30 genome, to around 10kb resolution, by molecular cytogenetic approaches, combining array painting and array CGH. We then compared this map with genomic junctions determined by paired-end sequencing. Most of the breakpoints found by array painting and array CGH were identified in the paired end sequencing—55% of the unamplified breakpoints and 97% of the amplified breakpoints (as these are represented by more sequence reads. From this analysis we identified 9 expressed fusion genes: APPBP2-PHF20L1, BCAS3-HOXB9, COL14A1-SKAP1, TAOK1-PCGF2, TIAM1-NRIP1, TIMM23-ARHGAP32, TRPS1-LASP1, USP32-CCDC49 and ZMYM4-OPRD1. We also determined the genomic junctions of a further three expressed fusion genes that had been described by others, BCAS3-ERBB2, DDX5-DEPDC6/DEPTOR and PLEC1-ENPP2. Of this total of 12 expressed fusion genes, 9 were in the coamplification. Due to the sensitivity of the technologies used, we estimate these 12 fusion genes to be around two-thirds of the true total. Many of the fusions seem likely to be driver mutations. For example, PHF20L1, BCAS3, TAOK1, PCGF2, and TRPS1 are fused in other breast cancers. HOXB9 and PHF20L1 are members of gene families that are fused in other neoplasms. Several of the other genes are relevant to cancer—in addition to ERBB2, SKAP1 is an adaptor for Src, DEPTOR regulates the mTOR pathway and NRIP1 is an estrogen-receptor coregulator. Conclusions This is the first structural analysis of a breast cancer genome that combines classical molecular cytogenetic approaches with sequencing. Paired-end sequencing was able to detect almost all breakpoints, where there was adequate read depth. It supports

  18. Comparative analysis of Salmonella genomes identifies a metabolic network for escalating growth in the inflamed gut.

    Science.gov (United States)

    Nuccio, Sean-Paul; Bäumler, Andreas J

    2014-03-18

    The Salmonella genus comprises a group of pathogens associated with illnesses ranging from gastroenteritis to typhoid fever. We performed an in silico analysis of comparatively reannotated Salmonella genomes to identify genomic signatures indicative of disease potential. By removing numerous annotation inconsistencies and inaccuracies, the process of reannotation identified a network of 469 genes involved in central anaerobic metabolism, which was intact in genomes of gastrointestinal pathogens but degrading in genomes of extraintestinal pathogens. This large network contained pathways that enable gastrointestinal pathogens to utilize inflammation-derived nutrients as well as many of the biochemical reactions used for the enrichment and biochemical discrimination of Salmonella serovars. Thus, comparative genome analysis identifies a metabolic network that provides clues about the strategies for nutrient acquisition and utilization that are characteristic of gastrointestinal pathogens. IMPORTANCE While some Salmonella serovars cause infections that remain localized to the gut, others disseminate throughout the body. Here, we compared Salmonella genomes to identify characteristics that distinguish gastrointestinal from extraintestinal pathogens. We identified a large metabolic network that is functional in gastrointestinal pathogens but decaying in extraintestinal pathogens. While taxonomists have used traits from this network empirically for many decades for the enrichment and biochemical discrimination of Salmonella serovars, our findings suggest that it is part of a "business plan" for growth in the inflamed gastrointestinal tract. By identifying a large metabolic network characteristic of Salmonella serovars associated with gastroenteritis, our in silico analysis provides a blueprint for potential strategies to utilize inflammation-derived nutrients and edge out competing gut microbes.

  19. A parameter estimation and identifiability analysis methodology applied to a street canyon air pollution model

    DEFF Research Database (Denmark)

    Ottosen, T. B.; Ketzel, Matthias; Skov, H.

    2016-01-01

    Mathematical models are increasingly used in environmental science thus increasing the importance of uncertainty and sensitivity analyses. In the present study, an iterative parameter estimation and identifiability analysis methodology is applied to an atmospheric model – the Operational Street...... of the identifiability analysis, showed that some model parameters were significantly more sensitive than others. The application of the determined optimal parameter values was shown to successfully equilibrate the model biases among the individual streets and species. It was as well shown that the frequentist approach...

  20. National Driver Register (NDR) -

    Data.gov (United States)

    Department of Transportation — Information regarding individuals who have had their driver licenses revoked, suspended or otherwise denied for cause, or who have been convicted of certain traffic...

  1. Drug involvement of fatally injured drivers

    Science.gov (United States)

    2010-11-01

    While data focusing on the danger of driving under the influence : of alcohol is readily available and often cited, less is : known or discussed about drivers under the influence of : other drugs. The Fatality Analysis Reporting System (FARS), : a ce...

  2. Analysis of short-term total hospital costs and current primary cost drivers of coiling versus clipping for unruptured intracranial aneurysms.

    Science.gov (United States)

    Duan, Yifei; Blackham, Kristine; Nelson, Jeff; Selman, Warren; Bambakidis, Nicholas

    2015-08-01

    No randomized controlled trial has successfully compared outcomes between endovascular coiling and microsurgical clipping for unruptured intracranial aneurysms (UIAs). To perform a cost comparison between index hospitalizations of patients with UIAs treated with coil embolization or surgical clipping to identify the current primary drivers of costs of either management approach. We obtained index hospitalization costs for 125 cases of UIAs treated with coiling or clipping from 2010 to 2012 at our institution. Comparisons were stratified based on patient age, gender, aneurysm size, and aneurysm location. Using linear regressions, we identified clinical parameters that drive total hospital costs. 69 cases were treated with clipping and 56 cases were treated with coiling. Morbidity and length of stay for patients treated with clipping was higher. Total hospital costs and variable direct costs for clipping were significantly lower than for coiling (p=0.003, p<0.001, respectively). Fixed direct costs and fixed indirect costs for clipping were higher than for coiling (p<0.001, p<0.001, respectively). Variable direct costs comprised 50.5% and 68.6% of total hospital costs for clipping and coiling, respectively (p<0.001). Length of stay, aneurysm size, and patient age drove total hospital costs for clipping. Length of stay was a weak driver of total hospital costs for coiling. Total index hospitalization costs for clipping are lower than for coiling. Costs of clipping and coiling are driven by different clinical variables. The cost of coils and devices is the predominant contributor to the higher total costs of coiling. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

  3. Identifying Subgroups of Tinnitus Using Novel Resting State fMRI Biomarkers and Cluster Analysis

    Science.gov (United States)

    2017-10-13

    applied to the resting-state data to identify tinnitus subgroups within the patient population and pair them with specific behavioral ...and behavioral data  Specific Aim 2: Determine tinnitus subgroups using automated cluster analysis of resting state data and associate the subgroups...data analysis and clustering method previously developed to apply to current tinnitus data set o Percentage of completion at end of Year 2 (24 months

  4. Analysis of promoter regions of co-expressed genes identified by microarray analysis

    Directory of Open Access Journals (Sweden)

    Höglund Mattias

    2006-08-01

    Full Text Available Abstract Background The use of global gene expression profiling to identify sets of genes with similar expression patterns is rapidly becoming a widespread approach for understanding biological processes. A logical and systematic approach to study co-expressed genes is to analyze their promoter sequences to identify transcription factors that may be involved in establishing specific profiles and that may be experimentally investigated. Results We introduce promoter clustering i.e. grouping of promoters with respect to their high scoring motif content, and show that this approach greatly enhances the identification of common and significant transcription factor binding sites (TFBS in co-expressed genes. We apply this method to two different dataset, one consisting of micro array data from 108 leukemias (AMLs and a second from a time series experiment, and show that biologically relevant promoter patterns may be obtained using phylogenetic foot-printing methodology. In addition, we also found that 15% of the analyzed promoter regions contained transcription factors start sites for additional genes transcribed in the opposite direction. Conclusion Promoter clustering based on global promoter features greatly improve the identification of shared TFBS in co-expressed genes. We believe that the outlined approach may be a useful first step to identify transcription factors that contribute to specific features of gene expression profiles.

  5. Sparse canonical correlation analysis for identifying, connecting and completing gene-expression networks

    Directory of Open Access Journals (Sweden)

    Zwinderman Aeilko H

    2009-09-01

    Full Text Available Abstract Background We generalized penalized canonical correlation analysis for analyzing microarray gene-expression measurements for checking completeness of known metabolic pathways and identifying candidate genes for incorporation in the pathway. We used Wold's method for calculation of the canonical variates, and we applied ridge penalization to the regression of pathway genes on canonical variates of the non-pathway genes, and the elastic net to the regression of non-pathway genes on the canonical variates of the pathway genes. Results We performed a small simulation to illustrate the model's capability to identify new candidate genes to incorporate in the pathway: in our simulations it appeared that a gene was correctly identified if the correlation with the pathway genes was 0.3 or more. We applied the methods to a gene-expression microarray data set of 12, 209 genes measured in 45 patients with glioblastoma, and we considered genes to incorporate in the glioma-pathway: we identified more than 25 genes that correlated > 0.9 with canonical variates of the pathway genes. Conclusion We concluded that penalized canonical correlation analysis is a powerful tool to identify candidate genes in pathway analysis.

  6. Patterns and Drivers of Egg Pigment Intensity and Colour Diversity in the Ocean: A Meta-Analysis of Phylum Echinodermata.

    Science.gov (United States)

    Montgomery, E M; Hamel, J-F; Mercier, A

    Egg pigmentation is proposed to serve numerous ecological, physiological, and adaptive functions in egg-laying animals. Despite the predominance and taxonomic diversity of egg layers, syntheses reviewing the putative functions and drivers of egg pigmentation have been relatively narrow in scope, centring almost exclusively on birds. Nonvertebrate and aquatic species are essentially overlooked, yet many of them produce maternally provisioned eggs in strikingly varied colours, from pale yellow to bright red or green. We explore the ways in which these colour patterns correlate with behavioural, morphological, geographic and phylogenetic variables in extant classes of Echinodermata, a phylum that has close phylogenetic ties with chordates and representatives in nearly all marine environments. Results of multivariate analyses show that intensely pigmented eggs are characteristic of pelagic or external development whereas pale eggs are commonly brooded internally. Of the five egg colours catalogued, orange and yellow are the most common. Yellow eggs are a primitive character, associated with all types of development (predominant in internal brooders), whereas green eggs are always pelagic, occur in the most derived orders of each class and are restricted to the Indo-Pacific Ocean. Orange eggs are geographically ubiquitous and may represent a 'universal' egg pigment that functions well under a diversity of environmental conditions. Finally, green occurs chiefly in the classes Holothuroidea and Ophiuroidea, orange in Asteroidea, yellow in Echinoidea, and brown in Holothuroidea. By examining an unprecedented combination of egg colours/intensities and reproductive strategies, this phylum-wide study sheds new light on the role and drivers of egg pigmentation, drawing parallels with theories developed from the study of more derived vertebrate taxa. The primary use of pigments (of any colour) to protect externally developing eggs from oxidative damage and predation is

  7. Systematic In Vivo RNAi Analysis Identifies IAPs as NEDD8-E3 Ligases

    DEFF Research Database (Denmark)

    Broemer, Meike; Tenev, Tencho; Rigbolt, Kristoffer T G

    2010-01-01

    -like proteins (UBLs), and deconjugating enzymes that remove the Ub or UBL adduct. Systematic in vivo RNAi analysis identified three NEDD8-specific isopeptidases that, when knocked down, suppress apoptosis. Consistent with the notion that attachment of NEDD8 prevents cell death, genetic ablation of deneddylase 1...

  8. Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis

    NARCIS (Netherlands)

    Voight, Benjamin F.; Scott, Laura J.; Steinthorsdottir, Valgerdur; Morris, Andrew P.; Dina, Christian; Welch, Ryan P.; Zeggini, Eleftheria; Huth, Cornelia; Aulchenko, Yurii S.; Thorleifsson, Gudmar; McCulloch, Laura J.; Ferreira, Teresa; Grallert, Harald; Amin, Najaf; Wu, Guanming; Willer, Cristen J.; Raychaudhuri, Soumya; McCarroll, Steve A.; Langenberg, Claudia; Hofmann, Oliver M.; Dupuis, Josee; Qi, Lu; Segre, Ayellet V.; van Hoek, Mandy; Navarro, Pau; Ardlie, Kristin; Balkau, Beverley; Benediktsson, Rafn; Bennett, Amanda J.; Blagieva, Roza; Boerwinkle, Eric; Bonnycastle, Lori L.; Bostrom, Kristina Bengtsson; Bravenboer, Bert; Bumpstead, Suzannah; Burtt, Noisel P.; Charpentier, Guillaume; Chines, Peter S.; Cornelis, Marilyn; Couper, David J.; Crawford, Gabe; Doney, Alex S. F.; Elliott, Katherine S.; Elliott, Amanda L.; Erdos, Michael R.; Fox, Caroline S.; Franklin, Christopher S.; Ganser, Martha; Gieger, Christian; Grarup, Niels; Green, Todd; Griffin, Simon; Groves, Christopher J.; Guiducci, Candace; Hadjadj, Samy; Hassanali, Neelam; Herder, Christian; Isomaa, Bo; Jackson, Anne U.; Johnson, Paul R. V.; Jorgensen, Torben; Kao, Wen H. L.; Klopp, Norman; Kong, Augustine; Kraft, Peter; Kuusisto, Johanna; Lauritzen, Torsten; Li, Man; Lieverse, Aloysius; Lindgren, Cecilia M.; Lyssenko, Valeriya; Marre, Michel; Meitinger, Thomas; Midthjell, Kristian; Morken, Mario A.; Narisu, Narisu; Nilsson, Peter; Owen, Katharine R.; Payne, Felicity; Perry, John R. B.; Petersen, Ann-Kristin; Platou, Carl; Proenca, Christine; Prokopenko, Inga; Rathmann, Wolfgang; Rayner, N. William; Robertson, Neil R.; Rocheleau, Ghislain; Roden, Michael; Sampson, Michael J.; Saxena, Richa; Shields, Beverley M.; Shrader, Peter; Sigurdsson, Gunnar; Sparso, Thomas; Strassburger, Klaus; Stringham, Heather M.; Sun, Qi; Swift, Amy J.; Thorand, Barbara; Tichet, Jean; Tuomi, Tiinamaija; van Dam, Rob M.; van Haeften, Timon W.; van Herpt, Thijs; van Vliet-Ostaptchouk, Jana V.; Walters, G. Bragi; Weedon, Michael N.; Wijmenga, Cisca; Witteman, Jacqueline; Bergman, Richard N.; Cauchi, Stephane; Collins, Francis S.; Gloyn, Anna L.; Gyllensten, Ulf; Hansen, Torben; Hide, Winston A.; Hitman, Graham A.; Hofman, Albert; Hunter, David J.; Hveem, Kristian; Laakso, Markku; Mohlke, Karen L.; Morris, Andrew D.; Palmer, Colin N. A.; Pramstaller, Peter P.; Rudan, Igor; Sijbrands, Eric; Stein, Lincoln D.; Tuomilehto, Jaakko; Uitterlinden, Andre; Walker, Mark; Wareham, Nicholas J.; Watanabe, Richard M.; Abecasis, Goncalo R.; Boehm, Bernhard O.; Campbell, Harry; Daly, Mark J.; Hattersley, Andrew T.; Hu, Frank B.; Meigs, James B.; Pankow, James S.; Pedersen, Oluf; Wichmann, H-Erich; Barroso, Ines; Florez, Jose C.; Frayling, Timothy M.; Groop, Leif; Sladek, Rob; Thorsteinsdottir, Unnur; Wilson, James F.; Illig, Thomas; Froguel, Philippe; van Duijn, Cornelia M.; Stefansson, Kari; Altshuler, David; Boehnke, Michael; McCarthy, Mark I.

    By combining genome-wide association data from 8,130 individuals with type 2 diabetes (T2D) and 38,987 controls of European descent and following up previously unidentified meta-analysis signals in a further 34,412 cases and 59,925 controls, we identified 12 new T2D association signals with combined

  9. Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis

    NARCIS (Netherlands)

    B.F. Voight (Benjamin); L.J. Scott (Laura); V. Steinthorsdottir (Valgerdur); A.D. Morris (Andrew); C. Dina (Christian); R.P. Welch (Ryan); E. Zeggini (Eleftheria); C. Huth (Cornelia); Y.S. Aulchenko (Yurii); G. Thorleifsson (Gudmar); L.J. McCulloch (Laura); T. Ferreira (Teresa); H. Grallert (Harald); N. Amin (Najaf); G. Wu (Guanming); C.J. Willer (Cristen); S. Raychaudhuri (Soumya); S.A. McCarroll (Steven); C. Langenberg (Claudia); O.M. Hofmann (Oliver); J. Dupuis (Josée); L. Qi (Lu); A.V. Segrè (Ayellet); M. van Hoek (Mandy); P. Navarro (Pau); K.G. Ardlie (Kristin); B. Balkau (Beverley); R. Benediktsson (Rafn); A.J. Bennett (Amanda); R. Blagieva (Roza); E.A. Boerwinkle (Eric); L.L. Bonnycastle (Lori); K.B. Boström (Kristina Bengtsson); B. Bravenboer (Bert); S. Bumpstead (Suzannah); N.P. Burtt (Noël); G. Charpentier (Guillaume); P.S. Chines (Peter); M. Cornelis (Marilyn); D.J. Couper (David); G. Crawford (Gabe); A.S.F. Doney (Alex); K.S. Elliott (Katherine); M.R. Erdos (Michael); C.S. Fox (Caroline); C.S. Franklin (Christopher); M. Ganser (Martha); C. Gieger (Christian); N. Grarup (Niels); T. Green (Todd); S. Griffin (Simon); C.J. Groves (Christopher); C. Guiducci (Candace); S. Hadjadj (Samy); N. Hassanali (Neelam); C. Herder (Christian); B. Isomaa (Bo); A.U. Jackson (Anne); P.R.V. Johnson (Paul); T. Jørgensen (Torben); W.H.L. Kao (Wen); N. Klopp (Norman); A. Kong (Augustine); P. Kraft (Peter); J. Kuusisto (Johanna); T. Lauritzen (Torsten); M. Li (Man); A. Lieverse (Aloysius); C.M. Lindgren (Cecilia); V. Lyssenko (Valeriya); M. Marre (Michel); T. Meitinger (Thomas); K. Midthjell (Kristian); M.A. Morken (Mario); N. Narisu (Narisu); P. Nilsson (Peter); K.R. Owen (Katharine); F. Payne (Felicity); J.R.B. Perry (John); A.K. Petersen; C. Platou (Carl); C. Proença (Christine); I. Prokopenko (Inga); W. Rathmann (Wolfgang); N.W. Rayner (Nigel William); N.R. Robertson (Neil); G. Rocheleau (Ghislain); M. Roden (Michael); M.J. Sampson (Michael); R. Saxena (Richa); B.M. Shields (Beverley); P. Shrader (Peter); G. Sigurdsson (Gunnar); T. Sparsø (Thomas); K. Strassburger (Klaus); H.M. Stringham (Heather); Q. Sun (Qi); A.J. Swift (Amy); B. Thorand (Barbara); J. Tichet (Jean); T. Tuomi (Tiinamaija); R.M. van Dam (Rob); T.W. van Haeften (Timon); T.W. van Herpt (Thijs); J.V. van Vliet-Ostaptchouk (Jana); G.B. Walters (Bragi); M.N. Weedon (Michael); C. Wijmenga (Cisca); J.C.M. Witteman (Jacqueline); R.N. Bergman (Richard); S. Cauchi (Stephane); F.S. Collins (Francis); A.L. Gloyn (Anna); U. Gyllensten (Ulf); T. Hansen (Torben); W.A. Hide (Winston); G.A. Hitman (Graham); A. Hofman (Albert); D. Hunter (David); K. Hveem (Kristian); M. Laakso (Markku); K.L. Mohlke (Karen); C.N.A. Palmer (Colin); P.P. Pramstaller (Peter Paul); I. Rudan (Igor); E.J.G. Sijbrands (Eric); L.D. Stein (Lincoln); J. Tuomilehto (Jaakko); A.G. Uitterlinden (André); M. Walker (Mark); N.J. Wareham (Nick); G.R. Abecasis (Gonçalo); B.O. Boehm (Bernhard); H. Campbell (Harry); M.J. Daly (Mark); A.T. Hattersley (Andrew); F.B. Hu (Frank); J.B. Meigs (James); J.S. Pankow (James); O. Pedersen (Oluf); H.E. Wichmann (Erich); I. Barroso (Inês); J.C. Florez (Jose); T.M. Frayling (Timothy); L. Groop (Leif); R. Sladek (Rob); U. Thorsteinsdottir (Unnur); J.F. Wilson (James); T. Illig (Thomas); P. Froguel (Philippe); P. Tikka-Kleemola (Päivi); J-A. Zwart (John-Anker); D. Altshuler (David); M. Boehnke (Michael); M.I. McCarthy (Mark); R.M. Watanabe (Richard)

    2010-01-01

    textabstractBy combining genome-wide association data from 8,130 individuals with type 2 diabetes (T2D) and 38,987 controls of European descent and following up previously unidentified meta-analysis signals in a further 34,412 cases and 59,925 controls, we identified 12 new T2D association signals

  10. Identifying Skill Requirements for GIS Positions: A Content Analysis of Job Advertisements

    Science.gov (United States)

    Hong, Jung Eun

    2016-01-01

    This study identifies the skill requirements for geographic information system (GIS) positions, including GIS analysts, programmers/developers/engineers, specialists, and technicians, through a content analysis of 946 GIS job advertisements from 2007-2014. The results indicated that GIS job applicants need to possess high levels of GIS analysis…

  11. Exome-wide rare variant analysis identifies TUBA4A mutations associated with familial ALS

    NARCIS (Netherlands)

    Smith, Bradley N.; Ticozzi, Nicola; Fallini, Claudia; Gkazi, Athina Soragia; Topp, Simon; Kenna, Kevin P.; Scotter, Emma L.; Kost, Jason; Keagle, Pamela; Miller, Jack W.; Calini, Daniela; Vance, Caroline; Danielson, Eric W.; Troakes, Claire; Tiloca, Cinzia; Al-Sarraj, Safa; Lewis, Elizabeth A.; King, Andrew; Colombrita, Claudia; Pensato, Viviana; Castellotti, Barbara; de Belleroche, Jacqueline; Baas, Frank; ten Asbroek, Anneloor L. M. A.; Sapp, Peter C.; McKenna-Yasek, Diane; McLaughlin, Russell L.; Polak, Meraida; Asress, Seneshaw; Esteban-Pérez, Jesús; Muñoz-Blanco, José Luis; Simpson, Michael; van Rheenen, Wouter; Diekstra, Frank P.; Lauria, Giuseppe; Duga, Stefano; Corti, Stefania; Cereda, Cristina; Corrado, Lucia; Sorarù, Gianni; Morrison, Karen E.; Williams, Kelly L.; Nicholson, Garth A.; Blair, Ian P.; Dion, Patrick A.; Leblond, Claire S.; Rouleau, Guy A.; Hardiman, Orla; Veldink, Jan H.; van den Berg, Leonard H.; Al-Chalabi, Ammar; Pall, Hardev; Shaw, Pamela J.; Turner, Martin R.; Talbot, Kevin; Taroni, Franco; García-Redondo, Alberto; Wu, Zheyang; Glass, Jonathan D.; Gellera, Cinzia; Ratti, Antonia; Brown, Robert H.; Silani, Vincenzo; Shaw, Christopher E.; Landers, John E.; D'alfonso, Sandra; Mazzini, Letizia; Comi, Giacomo P.; del Bo, Roberto; Ceroni, Mauro; Gagliardi, Stella; Querin, Giorgia; Bertolin, Cinzia

    2014-01-01

    Exome sequencing is an effective strategy for identifying human disease genes. However, this methodology is difficult in late-onset diseases where limited availability of DNA from informative family members prohibits comprehensive segregation analysis. To overcome this limitation, we performed an

  12. Social Network Analysis: A Simple but Powerful Tool for Identifying Teacher Leaders

    Science.gov (United States)

    Smith, P. Sean; Trygstad, Peggy J.; Hayes, Meredith L.

    2018-01-01

    Instructional teacher leadership is central to a vision of distributed leadership. However, identifying instructional teacher leaders can be a daunting task, particularly for administrators who find themselves either newly appointed or faced with high staff turnover. This article describes the use of social network analysis (SNA), a simple but…

  13. Genome-based exome sequencing analysis identifies GYG1, DIS3L ...

    Indian Academy of Sciences (India)

    Home; Journals; Journal of Genetics; Volume 96; Issue 6. Genome-based exome sequencing analysis identifies GYG1, DIS3L and DDRGK1 are associated with myocardial infarction in Koreans. JI-YOUNG LEE SANGHOON MOON YUN KYOUNG KIM SANG-HAK LEE BOK-SOO LEE MIN-YOUNG PARK JEONG EUY PARK ...

  14. Are Young Dual Language Learners Homogeneous? Identifying Subgroups Using Latent Class Analysis

    Science.gov (United States)

    Kim, Do-Hong; Lambert, Richard G.; Burts, Diane C.

    2018-01-01

    Although dual language learners (DLLs) are linguistically, culturally, and socially diverse, researchers usually study them in aggregate and compare them to non-DLLs. The authors' purpose was to identify subgroups of preschool DLLs using latent class analysis. There were 7,361 DLLs and 69,457 non-DLLs. Results revealed three distinct classes.…

  15. Using Latent Class Analysis to Identify Academic and Behavioral Risk Status in Elementary Students

    Science.gov (United States)

    King, Kathleen R.; Lembke, Erica S.; Reinke, Wendy M.

    2016-01-01

    Identifying classes of children on the basis of academic and behavior risk may have important implications for the allocation of intervention resources within Response to Intervention (RTI) and Multi-Tiered System of Support (MTSS) models. Latent class analysis (LCA) was conducted with a sample of 517 third grade students. Fall screening scores in…

  16. Genome-wide association scan meta-analysis identifies three loci influencing adiposity and fat distribution

    NARCIS (Netherlands)

    C.M. Lindgren (Cecilia); I.M. Heid (Iris); J.C. Randall (Joshua); C. Lamina (Claudia); V. Steinthorsdottir (Valgerdur); L. Qi (Lu); E.K. Speliotes (Elizabeth); G. Thorleifsson (Gudmar); C.J. Willer (Cristen); B.M. Herrera (Blanca); A.U. Jackson (Anne); N. Lim (Noha); P. Scheet (Paul); N. Soranzo (Nicole); N. Amin (Najaf); Y.S. Aulchenko (Yurii); J.C. Chambers (John); A. Drong (Alexander); J. Luan; H.N. Lyon (Helen); F. Rivadeneira Ramirez (Fernando); S. Sanna (Serena); N.J. Timpson (Nicholas); M.C. Zillikens (Carola); H.Z. Jing; P. Almgren (Peter); S. Bandinelli (Stefania); A.J. Bennett (Amanda); R.N. Bergman (Richard); L.L. Bonnycastle (Lori); S. Bumpstead (Suzannah); S.J. Chanock (Stephen); L. Cherkas (Lynn); P.S. Chines (Peter); L. Coin (Lachlan); C. Cooper (Charles); G. Crawford (Gabe); A. Doering (Angela); A. Dominiczak (Anna); A.S.F. Doney (Alex); S. Ebrahim (Shanil); P. Elliott (Paul); M.R. Erdos (Michael); K. Estrada Gil (Karol); L. Ferrucci (Luigi); G. Fischer (Guido); N.G. Forouhi (Nita); C. Gieger (Christian); H. Grallert (Harald); C.J. Groves (Christopher); S.M. Grundy (Scott); C. Guiducci (Candace); D. Hadley (David); A. Hamsten (Anders); A.S. Havulinna (Aki); A. Hofman (Albert); R. Holle (Rolf); J.W. Holloway (John); T. Illig (Thomas); B. Isomaa (Bo); L.C. Jacobs (Leonie); K. Jameson (Karen); P. Jousilahti (Pekka); F. Karpe (Fredrik); J. Kuusisto (Johanna); J. Laitinen (Jaana); G.M. Lathrop (Mark); D.A. Lawlor (Debbie); M. Mangino (Massimo); W.L. McArdle (Wendy); T. Meitinger (Thomas); M.A. Morken (Mario); A.P. Morris (Andrew); P. Munroe (Patricia); N. Narisu (Narisu); A. Nordström (Anna); B.A. Oostra (Ben); C.N.A. Palmer (Colin); F. Payne (Felicity); J. Peden (John); I. Prokopenko (Inga); F. Renström (Frida); A. Ruokonen (Aimo); V. Salomaa (Veikko); M.S. Sandhu (Manjinder); L.J. Scott (Laura); A. Scuteri (Angelo); K. Silander (Kaisa); K. Song (Kijoung); X. Yuan (Xin); H.M. Stringham (Heather); A.J. Swift (Amy); T. Tuomi (Tiinamaija); M. Uda (Manuela); P. Vollenweider (Peter); G. Waeber (Gérard); C. Wallace (Chris); G.B. Walters (Bragi); M.N. Weedon (Michael); J.C.M. Witteman (Jacqueline); C. Zhang (Cuilin); M. Caulfield (Mark); F.S. Collins (Francis); G.D. Smith; I.N.M. Day (Ian); P.W. Franks (Paul); A.T. Hattersley (Andrew); F.B. Hu (Frank); M.-R. Jarvelin (Marjo-Riitta); A. Kong (Augustine); J.S. Kooner (Jaspal); M. Laakso (Markku); E. Lakatta (Edward); V. Mooser (Vincent); L. Peltonen (Leena Johanna); N.J. Samani (Nilesh); T.D. Spector (Timothy); D.P. Strachan (David); T. Tanaka (Toshiko); J. Tuomilehto (Jaakko); A.G. Uitterlinden (André); P. Tikka-Kleemola (Päivi); N.J. Wareham (Nick); H. Watkins (Hugh); D. Waterworth (Dawn); M. Boehnke (Michael); P. Deloukas (Panagiotis); L. Groop (Leif); D.J. Hunter (David); U. Thorsteinsdottir (Unnur); D. Schlessinger (David); H.E. Wichmann (Erich); T.M. Frayling (Timothy); G.R. Abecasis (Gonçalo); J.N. Hirschhorn (Joel); R.J.F. Loos (Ruth); J-A. Zwart (John-Anker); K.L. Mohlke (Karen); I. Barroso (Inês); M.I. McCarthy (Mark)

    2009-01-01

    textabstractTo identify genetic loci influencing central obesity and fat distribution, we performed a meta-analysis of 16 genome-wide association studies (GWAS, N = 38,580) informative for adult waist circumference (WC) and waist-hip ratio (WHR). We selected 26 SNPs for follow-up, for which the

  17. AcuI identifies water buffalo CSN3 genotypes by RFLP analysis

    Indian Academy of Sciences (India)

    Home; Journals; Journal of Genetics; Volume 93; Online resources. AcuI identifies water buffalo CSN3 genotypes by RFLP analysis. Soheir M. El Nahas Ahlam A. Abou Mossallam. Volume 93 Online resources 2014 pp e94-e96. Fulltext. Click here to view fulltext PDF. Permanent link:

  18. Bioinformatics analysis identifies several intrinsically disordered human E3 ubiquitin-protein ligases

    DEFF Research Database (Denmark)

    Boomsma, Wouter Krogh; Nielsen, Sofie Vincents; Lindorff-Larsen, Kresten

    2016-01-01

    conduct a bioinformatics analysis to examine >600 human and S. cerevisiae E3 ligases to identify enzymes that are similar to San1 in terms of function and/or mechanism of substrate recognition. An initial sequence-based database search was found to detect candidates primarily based on the homology...

  19. Genetic analysis to identify good combiners for ToLCV resistance ...

    Indian Academy of Sciences (India)

    2014-11-10

    Nov 10, 2014 ... RESEARCH ARTICLE. Genetic analysis to identify good combiners for ToLCV resistance and yield components in tomato using interspecific hybridization. RAMESH K. SINGH1,2,3, N. RAI1∗, MAJOR SINGH1, S. N. SINGH2 and K. SRIVASTAVA4. 1Crop Improvement Division, Indian Institute of Vegetable ...

  20. Identifying Subgroups of Tinnitus Using Novel Resting State fMRI Biomarkers and Cluster Analysis

    Science.gov (United States)

    2016-10-01

    project activities, for the purpose of enhancing public understanding and increasing interest in learning and careers in science, technology, and the... Unsupervised hierarchical clustering of resting state functional connectivity data to identify patients with mild tinnitus. Poster session presented...including drafting of IRB behavioral and scanning protocols, advising on recruiting and initial data collection. She also supervised analysis of data and

  1. Large-scale association analysis identifies new risk loci for coronary artery disease

    NARCIS (Netherlands)

    Deloukas, Panos; Kanoni, Stavroula; Willenborg, Christina; Farrall, Martin; Assimes, Themistocles L.; Thompson, John R.; Ingelsson, Erik; Saleheen, Danish; Erdmann, Jeanette; Goldstein, Benjamin A.; Stirrups, Kathleen; König, Inke R.; Cazier, Jean-Baptiste; Johansson, Asa; Hall, Alistair S.; Lee, Jong-Young; Willer, Cristen J.; Chambers, John C.; Esko, Tõnu; Folkersen, Lasse; Goel, Anuj; Grundberg, Elin; Havulinna, Aki S.; Ho, Weang K.; Hopewell, Jemma C.; Eriksson, Niclas; Kleber, Marcus E.; Kristiansson, Kati; Lundmark, Per; Lyytikäinen, Leo-Pekka; Rafelt, Suzanne; Shungin, Dmitry; Strawbridge, Rona J.; Thorleifsson, Gudmar; Tikkanen, Emmi; van Zuydam, Natalie; Voight, Benjamin F.; Waite, Lindsay L.; Zhang, Weihua; Ziegler, Andreas; Absher, Devin; Altshuler, David; Balmforth, Anthony J.; Barroso, Inês; Braund, Peter S.; Burgdorf, Christof; Claudi-Boehm, Simone; Cox, David; Dimitriou, Maria; Do, Ron; Doney, Alex S. F.; El Mokhtari, NourEddine; Eriksson, Per; Fischer, Krista; Fontanillas, Pierre; Franco-Cereceda, Anders; Gigante, Bruna; Groop, Leif; Gustafsson, Stefan; Hager, Jörg; Hallmans, Göran; Han, Bok-Ghee; Hunt, Sarah E.; Kang, Hyun M.; Illig, Thomas; Kessler, Thorsten; Knowles, Joshua W.; Kolovou, Genovefa; Kuusisto, Johanna; Langenberg, Claudia; Langford, Cordelia; Leander, Karin; Lokki, Marja-Liisa; Lundmark, Anders; McCarthy, Mark I.; Meisinger, Christa; Melander, Olle; Mihailov, Evelin; Maouche, Seraya; Morris, Andrew D.; Müller-Nurasyid, Martina; Nikus, Kjell; Peden, John F.; Rayner, N. William; Rasheed, Asif; Rosinger, Silke; Rubin, Diana; Rumpf, Moritz P.; Schäfer, Arne; Sivananthan, Mohan; Song, Ci; Stewart, Alexandre F. R.; Tan, Sian-Tsung; Thorgeirsson, Gudmundur; van der Schoot, C. Ellen; Wagner, Peter J.; Wells, George A.; Wild, Philipp S.; Yang, Tsun-Po; Amouyel, Philippe; Arveiler, Dominique; Basart, Hanneke; Boehnke, Michael; Boerwinkle, Eric; Brambilla, Paolo; Cambien, Francois; Cupples, Adrienne L.; de Faire, Ulf; Dehghan, Abbas; Diemert, Patrick; Epstein, Stephen E.; Evans, Alun; Ferrario, Marco M.; Ferrières, Jean; Gauguier, Dominique; Go, Alan S.; Goodall, Alison H.; Gudnason, Villi; Hazen, Stanley L.; Holm, Hilma; Iribarren, Carlos; Jang, Yangsoo; Kähönen, Mika; Kee, Frank; Kim, Hyo-Soo; Klopp, Norman; Koenig, Wolfgang; Kratzer, Wolfgang; Kuulasmaa, Kari; Laakso, Markku; Laaksonen, Reijo; Lee, Ji-Young; Lind, Lars; Ouwehand, Willem H.; Parish, Sarah; Park, Jeong E.; Pedersen, Nancy L.; Peters, Annette; Quertermous, Thomas; Rader, Daniel J.; Salomaa, Veikko; Schadt, Eric; Shah, Svati H.; Sinisalo, Juha; Stark, Klaus; Stefansson, Kari; Trégouët, David-Alexandre; Virtamo, Jarmo; Wallentin, Lars; Wareham, Nicholas; Zimmermann, Martina E.; Nieminen, Markku S.; Hengstenberg, Christian; Sandhu, Manjinder S.; Pastinen, Tomi; Syvänen, Ann-Christine; Hovingh, G. Kees; Dedoussis, George; Franks, Paul W.; Lehtimäki, Terho; Metspalu, Andres; Zalloua, Pierre A.; Siegbahn, Agneta; Schreiber, Stefan; Ripatti, Samuli; Blankenberg, Stefan S.; Perola, Markus; Clarke, Robert; Boehm, Bernhard O.; O'Donnell, Christopher; Reilly, Muredach P.; März, Winfried; Collins, Rory; Kathiresan, Sekar; Hamsten, Anders; Kooner, Jaspal S.; Thorsteinsdottir, Unnur; Danesh, John; Palmer, Colin N. A.; Roberts, Robert; Watkins, Hugh; Schunkert, Heribert; Samani, Nilesh J.

    2013-01-01

    Coronary artery disease (CAD) is the commonest cause of death. Here, we report an association analysis in 63,746 CAD cases and 130,681 controls identifying 15 loci reaching genome-wide significance, taking the number of susceptibility loci for CAD to 46, and a further 104 independent variants (r(2)

  2. Identifying sustainability issues using participatory SWOT analysis - A case study of egg production in the Netherlands

    NARCIS (Netherlands)

    Mollenhorst, H.; Boer, de I.J.M.

    2004-01-01

    The aim of this paper was to demonstrate how participatory strengths, weaknesses, opportunities and threats (SWOT) analysis can be used to identify relevant economic, ecological and societal (EES) issues for the assessment of sustainable development. This is illustrated by the case of egg production

  3. Identifying the "Right Stuff": An Exploration-Focused Astronaut Job Analysis

    Science.gov (United States)

    Barrett, J. D.; Holland, A. W.; Vessey, W. B.

    2015-01-01

    Industrial and organizational (I/O) psychologists play a key role in NASA astronaut candidate selection through the identification of the competencies necessary to successfully engage in the astronaut job. A set of psychosocial competencies, developed by I/O psychologists during a prior job analysis conducted in 1996 and updated in 2003, were identified as necessary for individuals working and living in the space shuttle and on the International Space Station (ISS). This set of competencies applied to the space shuttle and applies to current ISS missions, but may not apply to longer-duration or long-distance exploration missions. With the 2015 launch of the first 12- month ISS mission and the shift in the 2020s to missions beyond low earth orbit, the type of missions that astronauts will conduct and the environment in which they do their work will change dramatically, leading to new challenges for these crews. To support future astronaut selection, training, and research, I/O psychologists in NASA's Behavioral Health and Performance (BHP) Operations and Research groups engaged in a joint effort to conduct an updated analysis of the astronaut job for current and future operations. This project will result in the identification of behavioral competencies critical to performing the astronaut job, along with relative weights for each of the identified competencies, through the application of job analysis techniques. While this job analysis is being conducted according to job analysis best practices, the project poses a number of novel challenges. These challenges include the need to identify competencies for multiple mission types simultaneously, to evaluate jobs that have no incumbents as they have never before been conducted, and working with a very limited population of subject matter experts. Given these challenges, under the guidance of job analysis experts, we used the following methods to conduct the job analysis and identify the key competencies for current and

  4. Is a driver's license age waiver worth a teen's life?

    Science.gov (United States)

    Porter, Dawn M; Miller, Beverly K; Mullins, Samantha H; Porter, Mary E; Aitken, Mary E

    2018-04-10

    Motor vehicle crashes are the leading cause of death for teens 14-19 years of age, with younger teen drivers at higher risk than older teens. Graduated driver licensing has been proven to reduce teen driver-related motor vehicle crashes and fatalities. Arkansas allows parents to request age waivers, which allow a teen to obtain a license for independent driving before the sixteenth birthday. The objectives of this study were to: (1) determine the prevalence of age waivers issued in Arkansas and (2) determine motor vehicle crash risks associated with 14 and 15 year old drivers. This is a brief report on an informative query exploring risk factors related to age waivers. Publicly available databases were utilized for across state comparisons. The Web-based Injury Statistics Query and Reporting Systems (WISQARS) was utilized to calculate motor vehicle crash crude death rates. National Highway Traffic Safety Administration data were utilized to identify seat belt use rates. The Fatal Analysis Reporting System (FARS) was utilized to identify crash fatality risks for 14 and 15 year old drivers in Arkansas (N = 24). Age waiver data were obtained from the Arkansas Driver Control Administration. De-identified data on fatal crashes and rates of age waiver issuance in Arkansas for 14 and 15 year olds from 2004 through 2016 were calculated. We reviewed crash data for 14 and 15 year old drivers in Arkansas between 2004 and 2014 to determine fatality risks. Thirty-one out of seventy-five counties in Arkansas were above the state age waiver issuance rate of 30.4 per 1000 14 to 15 year old teens. Among the four states that had similar age waivers for 14 to 15 year olds, Arkansas had the highest motor vehicle death rate of 10.2 per 100,000 young teens and the lowest seat belt use rate at 73%. Arkansas had the highest reported teen crash fatality rates among 4 states with age waivers. The volume of age waivers issued in Arkansas is concerning. Further research is needed

  5. Potential ligand-binding residues in rat olfactory receptors identified by correlated mutation analysis

    Science.gov (United States)

    Singer, M. S.; Oliveira, L.; Vriend, G.; Shepherd, G. M.

    1995-01-01

    A family of G-protein-coupled receptors is believed to mediate the recognition of odor molecules. In order to identify potential ligand-binding residues, we have applied correlated mutation analysis to receptor sequences from the rat. This method identifies pairs of sequence positions where residues remain conserved or mutate in tandem, thereby suggesting structural or functional importance. The analysis supported molecular modeling studies in suggesting several residues in positions that were consistent with ligand-binding function. Two of these positions, dominated by histidine residues, may play important roles in ligand binding and could confer broad specificity to mammalian odor receptors. The presence of positive (overdominant) selection at some of the identified positions provides additional evidence for roles in ligand binding. Higher-order groups of correlated residues were also observed. Each group may interact with an individual ligand determinant, and combinations of these groups may provide a multi-dimensional mechanism for receptor diversity.

  6. Child passengers and driver culpability in fatal crashes by driver gender.

    Science.gov (United States)

    Maasalo, Ida; Lehtonen, Esko; Pekkanen, Jami; Summala, Heikki

    2016-07-03

    Studies based on accident statistics generally suggest that the presence of a passenger reduces adult drivers' accident risk. However, passengers have been reported to be a source of distraction in a remarkable portion of distraction-related crashes. Although the effect of passengers on driving performance has been studied extensively, few studies have focused on how a child passenger affects the driver.  A child in a car is a potential distractor for parents, especially for mothers of small children, who often suffer from sleep deficit. The aim of this study was to examine how the presence of child passengers of different ages is associated with a higher driver culpability, which was expected due to child-related distraction and fatigue. The analysis was based on the comprehensive data of fatal crashes studied in-depth by multidisciplinary road accident investigation teams in Finland during 1988-2012. Teams determine the primary party who had the most crucial effect on the origin of the event. We define the primary party as culpable and the others involved as nonculpable drivers. The culpability rate was defined as the percentage of culpable drivers and rates were compared for drivers with a child/teen passenger aged 0-17 years (N = 348), with an adult passenger without children (N = 324), and when driving alone (N = 579), grouped by child age and driver gender.  Drivers with specific risk-related behavior (substantial speeding, driving when intoxicated, unbelted, or without a license) were excluded from the analyses, in order to make the drivers with and without children comparable. Only drivers 26-47 years old were included, representing parents with children 0-9 years of age. Male drivers were less often culpable with 0- to 17-year-old passengers in the car than alone or with adults. This was not the case with female drivers. The gender difference in culpability was most marked with small children age 0-4 years. Female drivers' culpability rate with a 0

  7. Gene expression meta-analysis identifies metastatic pathways and transcription factors in breast cancer

    International Nuclear Information System (INIS)

    Thomassen, Mads; Tan, Qihua; Kruse, Torben A

    2008-01-01

    Metastasis is believed to progress in several steps including different pathways but the determination and understanding of these mechanisms is still fragmentary. Microarray analysis of gene expression patterns in breast tumors has been used to predict outcome in recent studies. Besides classification of outcome, these global expression patterns may reflect biological mechanisms involved in metastasis of breast cancer. Our purpose has been to investigate pathways and transcription factors involved in metastasis by use of gene expression data sets. We have analyzed 8 publicly available gene expression data sets. A global approach, 'gene set enrichment analysis' as well as an approach focusing on a subset of significantly differently regulated genes, GenMAPP, has been applied to rank pathway gene sets according to differential regulation in metastasizing tumors compared to non-metastasizing tumors. Meta-analysis has been used to determine overrepresentation of pathways and transcription factors targets, concordant deregulated in metastasizing breast tumors, in several data sets. The major findings are up-regulation of cell cycle pathways and a metabolic shift towards glucose metabolism reflected in several pathways in metastasizing tumors. Growth factor pathways seem to play dual roles; EGF and PDGF pathways are decreased, while VEGF and sex-hormone pathways are increased in tumors that metastasize. Furthermore, migration, proteasome, immune system, angiogenesis, DNA repair and several signal transduction pathways are associated to metastasis. Finally several transcription factors e.g. E2F, NFY, and YY1 are identified as being involved in metastasis. By pathway meta-analysis many biological mechanisms beyond major characteristics such as proliferation are identified. Transcription factor analysis identifies a number of key factors that support central pathways. Several previously proposed treatment targets are identified and several new pathways that may

  8. A global analysis of the impacts of urbanization on bird and plant diversity reveals key anthropogenic drivers.

    Science.gov (United States)

    Aronson, Myla F J; La Sorte, Frank A; Nilon, Charles H; Katti, Madhusudan; Goddard, Mark A; Lepczyk, Christopher A; Warren, Paige S; Williams, Nicholas S G; Cilliers, Sarel; Clarkson, Bruce; Dobbs, Cynnamon; Dolan, Rebecca; Hedblom, Marcus; Klotz, Stefan; Kooijmans, Jip Louwe; Kühn, Ingolf; Macgregor-Fors, Ian; McDonnell, Mark; Mörtberg, Ulla; Pysek, Petr; Siebert, Stefan; Sushinsky, Jessica; Werner, Peter; Winter, Marten

    2014-04-07

    Urbanization contributes to the loss of the world's biodiversity and the homogenization of its biota. However, comparative studies of urban biodiversity leading to robust generalities of the status and drivers of biodiversity in cities at the global scale are lacking. Here, we compiled the largest global dataset to date of two diverse taxa in cities: birds (54 cities) and plants (110 cities). We found that the majority of urban bird and plant species are native in the world's cities. Few plants and birds are cosmopolitan, the most common being Columba livia and Poa annua. The density of bird and plant species (the number of species per km(2)) has declined substantially: only 8% of native bird and 25% of native plant species are currently present compared with estimates of non-urban density of species. The current density of species in cities and the loss in density of species was best explained by anthropogenic features (landcover, city age) rather than by non-anthropogenic factors (geography, climate, topography). As urbanization continues to expand, efforts directed towards the conservation of intact vegetation within urban landscapes could support higher concentrations of both bird and plant species. Despite declines in the density of species, cities still retain endemic native species, thus providing opportunities for regional and global biodiversity conservation, restoration and education.

  9. [Health care utilisation in France: an analysis of the main drivers of health care use inequalities related to migration].

    Science.gov (United States)

    Berchet, C

    2013-06-01

    In using a general health survey representative of the French population, the 2006 and 2008 French Health, health care and insurance survey, this study explores inequalities in health care utilization between immigrants and natives. Our objective is to highlight the most important factors generating health care use inequalities relating to immigration in using non-linear decomposition. Estimation results reveal that for equivalent health care needs, immigrants present a lower demand for GP and specialist care than the French population. The implementation of non-linear decompositions suggests that health care use inequalities between French and immigrant populations are for the most part attributable to differences in the distribution of observable characteristics between both populations. In particular, immigrant lower health coverage represents the first factor generating inequalities in the propensity to contact a GP while education and income are the most important drivers of inequalities in the propensity to contact a specialist. Copyright © 2013 Elsevier Masson SAS. All rights reserved.

  10. Criteria for driver impairment

    NARCIS (Netherlands)

    Brookhuis, K.A.; De Waard, D.; Fairclough, S.H

    2003-01-01

    Most traffic accidents can be attributed to driver impairment, e.g. inattention, fatigue, intoxication, etc. It is now technically feasible to monitor and diagnose driver behaviour with respect to impairment with the aid of a limited number of in-vehicle sensors. However, a valid framework for the

  11. Identifying and Characterizing Discrepancies Between Test and Analysis Results of Compression-Loaded Panels

    Science.gov (United States)

    Thornburgh, Robert P.; Hilburger, Mark W.

    2005-01-01

    Results from a study to identify and characterize discrepancies between validation tests and high-fidelity analyses of compression-loaded panels are presented. First, potential sources of the discrepancies in both the experimental method and corresponding high-fidelity analysis models were identified. Then, a series of laboratory tests and numerical simulations were conducted to quantify the discrepancies and develop test and analysis methods to account for the discrepancies. The results indicate that the discrepancies between the validation tests and high-fidelity analyses can be attributed to imperfections in the test fixture and specimen geometry; test-fixture-induced changes in specimen geometry; and test-fixture-induced friction on the loaded edges of the test specimen. The results also show that accurate predictions of the panel response can be obtained when these specimen imperfections and edge conditions are accounted for in the analysis. The errors in the tests and analyses, and the methods used to characterize these errors are presented.

  12. Physics at a New Fermilab Proton Driver

    OpenAIRE

    Geer, S.

    2006-01-01

    In 2004, motivated by the recent exciting developments in neutrino physics, the Fermilab Long Range Planning Committee identified a new high intensity Proton Driver as an attractive option for the future. At the end of 2004 the APS ``Study on the Physics of Neutrinos'' concluded that the future U.S. neutrino program should have, as one of its components, ``A proton driver in the megawatt class or above and neutrino superbeam with an appropriate very large detector capable of observing CP viol...

  13. A cross-species genetic analysis identifies candidate genes for mouse anxiety and human bipolar disorder

    Directory of Open Access Journals (Sweden)

    David G Ashbrook

    2015-07-01

    Full Text Available Bipolar disorder (BD is a significant neuropsychiatric disorder with a lifetime prevalence of ~1%. To identify genetic variants underlying BD genome-wide association studies (GWAS have been carried out. While many variants of small effect associated with BD have been identified few have yet been confirmed, partly because of the low power of GWAS due to multiple comparisons being made. Complementary mapping studies using murine models have identified genetic variants for behavioral traits linked to BD, often with high power, but these identified regions often contain too many genes for clear identification of candidate genes. In the current study we have aligned human BD GWAS results and mouse linkage studies to help define and evaluate candidate genes linked to BD, seeking to use the power of the mouse mapping with the precision of GWAS. We use quantitative trait mapping for open field test and elevated zero maze data in the largest mammalian model system, the BXD recombinant inbred mouse population, to identify genomic regions associated with these BD-like phenotypes. We then investigate these regions in whole genome data from the Psychiatric Genomics Consortium’s bipolar disorder GWAS to identify candidate genes associated with BD. Finally we establish the biological relevance and pathways of these genes in a comprehensive systems genetics analysis.We identify four genes associated with both mouse anxiety and human BD. While TNR is a novel candidate for BD, we can confirm previously suggested associations with CMYA5, MCTP1 and RXRG. A cross-species, systems genetics analysis shows that MCTP1, RXRG and TNR coexpress with genes linked to psychiatric disorders and identify the striatum as a potential site of action. CMYA5, MCTP1, RXRG and TNR are associated with mouse anxiety and human BD. We hypothesize that MCTP1, RXRG and TNR influence intercellular signaling in the striatum.

  14. SUBJECTIVE METHODS FOR ASSESSMENT OF DRIVER DROWSINESS

    Directory of Open Access Journals (Sweden)

    Alina Mashko

    2017-12-01

    Full Text Available The paper deals with the issue of fatigue and sleepiness behind the wheel, which for a long time has been of vital importance for the research in the area of driver-car interaction safety. Numerous experiments on car simulators with diverse measurements to observe human behavior have been performed at the laboratories of the faculty of the authors. The paper provides analysis and an overview and assessment of the subjective (self-rating and observer rating methods for observation of driver behavior and the detection of critical behavior in sleep deprived drivers using the developed subjective rating scales.

  15. Using Latent Semantic Analysis to Identify Research Trends in OpenStreetMap

    Directory of Open Access Journals (Sweden)

    Sukhjit Singh Sehra

    2017-07-01

    Full Text Available OpenStreetMap (OSM, based on collaborative mapping, has become a subject of great interest to the academic community, resulting in a considerable body of literature produced by many researchers. In this paper, we use Latent Semantic Analysis (LSA to help identify the emerging research trends in OSM. An extensive corpus of 485 academic abstracts of papers published during the period 2007–2016 was used. Five core research areas and fifty research trends were identified in this study. In addition, potential future research directions have been provided to aid geospatial information scientists, technologists and researchers in undertaking future OSM research.

  16. In-depth analysis of drivers' merging behavior and rear-end crash risks in work zone merging areas.

    Science.gov (United States)

    Weng, Jinxian; Xue, Shan; Yang, Ying; Yan, Xuedong; Qu, Xiaobo

    2015-04-01

    This study investigates the drivers' merging behavior and the rear-end crash risk in work zone merging areas during the entire merging implementation period from the time of starting a merging maneuver to that of completing the maneuver. With the merging traffic data from a work zone site in Singapore, a mixed probit model is developed to describe the merging behavior, and two surrogate safety measures including the time to collision (TTC) and deceleration rate to avoid the crash (DRAC) are adopted to compute the rear-end crash risk between the merging vehicle and its neighboring vehicles. Results show that the merging vehicle has a bigger probability of completing a merging maneuver quickly under one of the following situations: (i) the merging vehicle moves relatively fast; (ii) the merging lead vehicle is a heavy vehicle; and (iii) there is a sizable gap in the adjacent through lane. Results indicate that the rear-end crash risk does not monotonically increase as the merging vehicle speed increases. The merging vehicle's rear-end crash risk is also affected by the vehicle type. There is a biggest increment of rear-end crash risk if the merging lead vehicle belongs to a heavy vehicle. Although the reduced remaining distance to work zone could urge the merging vehicle to complete a merging maneuver quickly, it might lead to an increased rear-end crash risk. Interestingly, it is found that the rear-end crash risk could be generally increased over the elapsed time after the merging maneuver being triggered. Copyright © 2015 Elsevier Ltd. All rights reserved.

  17. Analysis of Food Hub Commerce and Participation Using Agent-Based Modeling: Integrating Financial and Social Drivers.

    Science.gov (United States)

    Krejci, Caroline C; Stone, Richard T; Dorneich, Michael C; Gilbert, Stephen B

    2016-02-01

    Factors influencing long-term viability of an intermediated regional food supply network (food hub) were modeled using agent-based modeling techniques informed by interview data gathered from food hub participants. Previous analyses of food hub dynamics focused primarily on financial drivers rather than social factors and have not used mathematical models. Based on qualitative and quantitative data gathered from 22 customers and 11 vendors at a midwestern food hub, an agent-based model (ABM) was created with distinct consumer personas characterizing the range of consumer priorities. A comparison study determined if the ABM behaved differently than a model based on traditional economic assumptions. Further simulation studies assessed the effect of changes in parameters, such as producer reliability and the consumer profiles, on long-term food hub sustainability. The persona-based ABM model produced different and more resilient results than the more traditional way of modeling consumers. Reduced producer reliability significantly reduced trade; in some instances, a modest reduction in reliability threatened the sustainability of the system. Finally, a modest increase in price-driven consumers at the outset of the simulation quickly resulted in those consumers becoming a majority of the overall customer base. Results suggest that social factors, such as desire to support the community, can be more important than financial factors. An ABM of food hub dynamics, based on human factors data gathered from the field, can be a useful tool for policy decisions. Similar approaches can be used for modeling customer dynamics with other sustainable organizations. © 2015, Human Factors and Ergonomics Society.

  18. Research citation analysis of nursing academics in Canada: identifying success indicators.

    Science.gov (United States)

    Hack, Thomas F; Crooks, Dauna; Plohman, James; Kepron, Emma

    2010-11-01

    This article is a report of a citation analysis of research publications by Canadian nursing academics. Citation analysis can yield objective criteria for assessing the value of published research and is becoming increasingly popular as an academic evaluation tool in universities around the world. Citation analysis is useful for examining the research performance of academic researchers and identifying leaders among them. The journal publication records of 737 nursing academics at 33 Canadian universities and schools of nursing were subject to citation analysis using the Scopus database. Three primary types of analysis were performed for each individual: number of citations for each journal publication, summative citation count of all published papers and the Scopus h-index. Preliminary citation analysis was conducted from June to July 2009, with the final analysis performed on 2 October 2009 following e-mail verification of publication lists. The top 20 nursing academics for each of five citation categories are presented: the number of career citations for all publications, number of career citations for first-authored publications, most highly cited first-authored publications, the Scopus h-index for all publications and the Scopus h-index for first-authored publications. Citation analysis metrics are useful for evaluating the research performance of academic researchers in nursing. Institutions are encouraged to protect the research time of successful and promising nursing academics, and to dedicate funds to enhance the research programmes of underperforming academic nursing groups. © 2010 The Authors. Journal of Advanced Nursing © 2010 Blackwell Publishing Ltd.

  19. Comparative analysis of methods for identifying multimorbidity patterns: a study of 'real-world' data.

    Science.gov (United States)

    Roso-Llorach, Albert; Violán, Concepción; Foguet-Boreu, Quintí; Rodriguez-Blanco, Teresa; Pons-Vigués, Mariona; Pujol-Ribera, Enriqueta; Valderas, Jose Maria

    2018-03-22

    The aim was to compare multimorbidity patterns identified with the two most commonly used methods: hierarchical cluster analysis (HCA) and exploratory factor analysis (EFA) in a large primary care database. Specific objectives were: (1) to determine whether choice of method affects the composition of these patterns and (2) to consider the potential application of each method in the clinical setting. Cross-sectional study. Diagnoses were based on the 263 corresponding blocks of the International Classification of Diseases version 10. Multimorbidity patterns were identified using HCA and EFA. Analysis was stratified by sex, and results compared for each method. Electronic health records for 408 994 patients with multimorbidity aged 45-64 years in 274 primary health care teams from 2010 in Catalonia, Spain. HCA identified 53 clusters for women, with just 12 clusters including at least 2 diagnoses, and 15 clusters for men, all of them including at least two diagnoses. EFA showed 9 factors for women and 10 factors for men. We observed differences by sex and method of analysis, although some patterns were consistent. Three combinations of diseases were observed consistently across sex groups and across both methods: hypertension and obesity, spondylopathies and deforming dorsopathies, and dermatitis eczema and mycosis. This study showed that multimorbidity patterns vary depending on the method of analysis used (HCA vs EFA) and provided new evidence about the known limitations of attempts to compare multimorbidity patterns in real-world data studies. We found that EFA was useful in describing comorbidity relationships and HCA could be useful for in-depth study of multimorbidity. Our results suggest possible applications for each of these methods in clinical and research settings, and add information about some aspects that must be considered in standardisation of future studies: spectrum of diseases, data usage and methods of analysis. © Article author(s) (or their

  20. Patent Network Analysis and Quadratic Assignment Procedures to Identify the Convergence of Robot Technologies.

    Directory of Open Access Journals (Sweden)

    Woo Jin Lee

    Full Text Available Because of the remarkable developments in robotics in recent years, technological convergence has been active in this area. We focused on finding patterns of convergence within robot technology using network analysis of patents in both the USPTO and KIPO. To identify the variables that affect convergence, we used quadratic assignment procedures (QAP. From our analysis, we observed the patent network ecology related to convergence and found technologies that have great potential to converge with other robotics technologies. The results of our study are expected to contribute to setting up convergence based R&D policies for robotics, which can lead new innovation.

  1. Geographic scale matters in detecting the relationship between neighbourhood food environments and obesity risk: an analysis of driver license records in Salt Lake County, Utah.

    Science.gov (United States)

    Fan, Jessie X; Hanson, Heidi A; Zick, Cathleen D; Brown, Barbara B; Kowaleski-Jones, Lori; Smith, Ken R

    2014-08-19

    Empirical studies of the association between neighbourhood food environments and individual obesity risk have found mixed results. One possible cause of these mixed findings is the variation in neighbourhood geographic scale used. The purpose of this paper was to examine how various neighbourhood geographic scales affected the estimated relationship between food environments and obesity risk. Cross-sectional secondary data analysis. Salt Lake County, Utah, USA. 403,305 Salt Lake County adults 25-64 in the Utah driver license database between 1995 and 2008. Utah driver license data were geo-linked to 2000 US Census data and Dun & Bradstreet business data. Food outlets were classified into the categories of large grocery stores, convenience stores, limited-service restaurants and full-service restaurants, and measured at four neighbourhood geographic scales: Census block group, Census tract, ZIP code and a 1 km buffer around the resident's house. These measures were regressed on individual obesity status using multilevel random intercept regressions. Obesity. Food environment was important for obesity but the scale of the relevant neighbourhood differs for different type of outlets: large grocery stores were not significant at all four geographic scales, limited-service restaurants at the medium-to-large scale (Census tract or larger) and convenience stores and full-service restaurants at the smallest scale (Census tract or smaller). The choice of neighbourhood geographic scale can affect the estimated significance of the association between neighbourhood food environments and individual obesity risk. However, variations in geographic scale alone do not explain the mixed findings in the literature. If researchers are constrained to use one geographic scale with multiple categories of food outlets, using Census tract or 1 km buffer as the neighbourhood geographic unit is likely to allow researchers to detect most significant relationships. Published by the BMJ

  2. Parameter estimation for multistage clonal expansion models from cancer incidence data: A practical identifiability analysis.

    Science.gov (United States)

    Brouwer, Andrew F; Meza, Rafael; Eisenberg, Marisa C

    2017-03-01

    Many cancers are understood to be the product of multiple somatic mutations or other rate-limiting events. Multistage clonal expansion (MSCE) models are a class of continuous-time Markov chain models that capture the multi-hit initiation-promotion-malignant-conversion hypothesis of carcinogenesis. These models have been used broadly to investigate the epidemiology of many cancers, assess the impact of carcinogen exposures on cancer risk, and evaluate the potential impact of cancer prevention and control strategies on cancer rates. Structural identifiability (the analysis of the maximum parametric information available for a model given perfectly measured data) of certain MSCE models has been previously investigated. However, structural identifiability is a theoretical property and does not address the limitations of real data. In this study, we use pancreatic cancer as a case study to examine the practical identifiability of the two-, three-, and four-stage clonal expansion models given age-specific cancer incidence data using a numerical profile-likelihood approach. We demonstrate that, in the case of the three- and four-stage models, several parameters that are theoretically structurally identifiable, are, in practice, unidentifiable. This result means that key parameters such as the intermediate cell mutation rates are not individually identifiable from the data and that estimation of those parameters, even if structurally identifiable, will not be stable. We also show that products of these practically unidentifiable parameters are practically identifiable, and, based on this, we propose new reparameterizations of the model hazards that resolve the parameter estimation problems. Our results highlight the importance of identifiability to the interpretation of model parameter estimates.

  3. Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis

    DEFF Research Database (Denmark)

    Voight, Benjamin F; Scott, Laura J; Steinthorsdottir, Valgerdur

    2010-01-01

    By combining genome-wide association data from 8,130 individuals with type 2 diabetes (T2D) and 38,987 controls of European descent and following up previously unidentified meta-analysis signals in a further 34,412 cases and 59,925 controls, we identified 12 new T2D association signals with combi......By combining genome-wide association data from 8,130 individuals with type 2 diabetes (T2D) and 38,987 controls of European descent and following up previously unidentified meta-analysis signals in a further 34,412 cases and 59,925 controls, we identified 12 new T2D association signals...

  4. Crash involvement during the different phases of the New Zealand Graduated Driver Licensing System (GDLS)

    NARCIS (Netherlands)

    Lewis Evans, B.

    Introduction: The New Zealand Graduated Driver Licensing System (GDLS) is designed to allow novice drivers to gain driving experience under conditions of reduced risk. Method: To examine the effectiveness of the GDLS, an analysis of how the crash involvement of novice drivers changes as drivers move

  5. A method for identifying compromised clients based on DNS traffic analysis

    DEFF Research Database (Denmark)

    Stevanovic, Matija; Pedersen, Jens Myrup; D’Alconzo, Alessandro

    2017-01-01

    based on DNS traffic analysis. The proposed method identifies suspicious agile DNS mappings, i.e., mappings characterized by fast changing domain names or/and IP addresses, often used by malicious services. The approach discovers clients that have queried domains contained within identified suspicious...... domain-to-IP mappings, thus assisting in pinpointing potentially compromised clients within the network. The proposed approach targets compromised clients in large-scale operational networks. We have evaluated the proposed approach using an extensive set of DNS traffic traces from different operational...... ISP networks. The evaluation illustrates a great potential of accurately identifying suspicious domain-to-IP mappings and potentially compromised clients. Furthermore, the achieved performance indicate that the novel detection approach is promising in view of the adoption in operational ISP networks...

  6. A Numerical Procedure for Model Identifiability Analysis Applied to Enzyme Kinetics

    DEFF Research Database (Denmark)

    Daele, Timothy, Van; Van Hoey, Stijn; Gernaey, Krist

    2015-01-01

    The proper calibration of models describing enzyme kinetics can be quite challenging. In the literature, different procedures are available to calibrate these enzymatic models in an efficient way. However, in most cases the model structure is already decided on prior to the actual calibration...... and Pronzato (1997) and which can be easily set up for any type of model. In this paper the proposed approach is applied to the forward reaction rate of the enzyme kinetics proposed by Shin and Kim(1998). Structural identifiability analysis showed that no local structural model problems were occurring......) identifiability problems. By using the presented approach it is possible to detect potential identifiability problems and avoid pointless calibration (and experimental!) effort....

  7. Assessing drivers' response during automated driver support system failures with non-driving tasks.

    Science.gov (United States)

    Shen, Sijun; Neyens, David M

    2017-06-01

    With the increase in automated driver support systems, drivers are shifting from operating their vehicles to supervising their automation. As a result, it is important to understand how drivers interact with these automated systems and evaluate their effect on driver responses to safety critical events. This study aimed to identify how drivers responded when experiencing a safety critical event in automated vehicles while also engaged in non-driving tasks. In total 48 participants were included in this driving simulator study with two levels of automated driving: (a) driving with no automation and (b) driving with adaptive cruise control (ACC) and lane keeping (LK) systems engaged; and also two levels of a non-driving task (a) watching a movie or (b) no non-driving task. In addition to driving performance measures, non-driving task performance and the mean glance duration for the non-driving task were compared between the two levels of automated driving. Drivers using the automated systems responded worse than those manually driving in terms of reaction time, lane departure duration, and maximum steering wheel angle to an induced lane departure event. These results also found that non-driving tasks further impaired driver responses to a safety critical event in the automated system condition. In the automated driving condition, driver responses to the safety critical events were slower, especially when engaged in a non-driving task. Traditional driver performance variables may not necessarily effectively and accurately evaluate driver responses to events when supervising autonomous vehicle systems. Thus, it is important to develop and use appropriate variables to quantify drivers' performance under these conditions. Copyright © 2017 Elsevier Ltd and National Safety Council. All rights reserved.

  8. Clinical Characteristics of Exacerbation-Prone Adult Asthmatics Identified by Cluster Analysis.

    Science.gov (United States)

    Kim, Mi Ae; Shin, Seung Woo; Park, Jong Sook; Uh, Soo Taek; Chang, Hun Soo; Bae, Da Jeong; Cho, You Sook; Park, Hae Sim; Yoon, Ho Joo; Choi, Byoung Whui; Kim, Yong Hoon; Park, Choon Sik

    2017-11-01

    Asthma is a heterogeneous disease characterized by various types of airway inflammation and obstruction. Therefore, it is classified into several subphenotypes, such as early-onset atopic, obese non-eosinophilic, benign, and eosinophilic asthma, using cluster analysis. A number of asthmatics frequently experience exacerbation over a long-term follow-up period, but the exacerbation-prone subphenotype has rarely been evaluated by cluster analysis. This prompted us to identify clusters reflecting asthma exacerbation. A uniform cluster analysis method was applied to 259 adult asthmatics who were regularly followed-up for over 1 year using 12 variables, selected on the basis of their contribution to asthma phenotypes. After clustering, clinical profiles and exacerbation rates during follow-up were compared among the clusters. Four subphenotypes were identified: cluster 1 was comprised of patients with early-onset atopic asthma with preserved lung function, cluster 2 late-onset non-atopic asthma with impaired lung function, cluster 3 early-onset atopic asthma with severely impaired lung function, and cluster 4 late-onset non-atopic asthma with well-preserved lung function. The patients in clusters 2 and 3 were identified as exacerbation-prone asthmatics, showing a higher risk of asthma exacerbation. Two different phenotypes of exacerbation-prone asthma were identified among Korean asthmatics using cluster analysis; both were characterized by impaired lung function, but the age at asthma onset and atopic status were different between the two. Copyright © 2017 The Korean Academy of Asthma, Allergy and Clinical Immunology · The Korean Academy of Pediatric Allergy and Respiratory Disease

  9. RUSSIAN PATENT LANDSCAPE, CREATED BY THE RESIDENTS OF THE COUNTRY: ANALYSIS OF THE IDENTIFIED ISSUES

    OpenAIRE

    N. G. Kurakova; L. A. Tsvetkova; V. G. Zinov

    2016-01-01

    It is suggested to reach the goal for channeling limited funds into the most productive research groups inRussiaby identifying so –called leading organisations among the scientific centres. As one of the criteria for selecting organisations with potential for creating the technological breakthrough on global markets will be an indicator of their patent activity. There are presented results of patent analysis, allowing to form a rating of owners of most extensive portfolios of Russian patents,...

  10. A meta-analysis of 120 246 individuals identifies 18 new loci for fibrinogen concentration

    OpenAIRE

    Vries, Paul; Chasman, Daniel; Sabater-Lleal, Maria; Chen, Ming-Huei; Huffman, Jennifer E.; Steri, Maristella; Tang, Weihong; Teumer, Alexander; Marioni, Riccardo; Grossmann, Vera; Hottenga, Jouke Jan; Trompet, Stella; Müller-Nurasyid, Martina; Zhao, Jing Hua; Brody, Jennifer

    2016-01-01

    textabstractGenome-wide association studies have previously identified 23 genetic loci associated with circulating fibrinogen concentration. These studies used HapMap imputation and did not examine the X-chromosome. 1000 Genomes imputation provides better coverage of uncommon variants, and includes indels.We conducted a genome-wide association analysis of 34 studies imputed to the 1000 Genomes Project reference panel and including ~120 000 participants of European ancestry (95 806 participant...

  11. Hot spot analysis applied to identify ecosystem services potential in Lithuania

    Science.gov (United States)

    Pereira, Paulo; Depellegrin, Daniel; Misiune, Ieva

    2016-04-01

    Hot spot analysis are very useful to identify areas with similar characteristics. This is important for a sustainable use of the territory, since we can identify areas that need to be protected, or restored. This is a great advantage in terms of land use planning and management, since we can allocate resources, reduce the economical costs and do a better intervention in the landscape. Ecosystem services (ES) are different according land use. Since landscape is very heterogeneous, it is of major importance understand their spatial pattern and where are located the areas that provide better ES and the others that provide less services. The objective of this work is to use hot-spot analysis to identify areas with the most valuable ES in Lithuania. CORINE land-cover (CLC) of 2006 was used as the main spatial information. This classification uses a grid of 100 m resolution and extracted a total of 31 land use types. ES ranking was carried out based on expert knowledge. They were asked to evaluate the ES potential of each different CLC from 0 (no potential) to 5 (very high potential). Hot spot analysis were evaluated using the Getis-ord test, which identifies cluster analysis available in ArcGIS toolbox. This tool identifies areas with significantly high low values and significant high values at a p level of 0.05. In this work we used hot spot analysis to assess the distribution of providing, regulating cultural and total (sum of the previous 3) ES. The Z value calculated from Getis-ord was used to statistical analysis to access the clusters of providing, regulating cultural and total ES. ES with high Z value show that they have a high number of cluster areas with high potential of ES. The results showed that the Z-score was significantly different among services (Kruskal Wallis ANOVA =834. 607, pcultural (0.080±1.979) and regulating (0.076±1.961). These results suggested that providing services are more clustered than the remaining. Ecosystem Services Z score were

  12. Parallel analysis of tagged deletion mutants efficiently identifies genes involved in endoplasmic reticulum biogenesis.

    Science.gov (United States)

    Wright, Robin; Parrish, Mark L; Cadera, Emily; Larson, Lynnelle; Matson, Clinton K; Garrett-Engele, Philip; Armour, Chris; Lum, Pek Yee; Shoemaker, Daniel D

    2003-07-30

    Increased levels of HMG-CoA reductase induce cell type- and isozyme-specific proliferation of the endoplasmic reticulum. In yeast, the ER proliferations induced by Hmg1p consist of nuclear-associated stacks of smooth ER membranes known as karmellae. To identify genes required for karmellae assembly, we compared the composition of populations of homozygous diploid S. cerevisiae deletion mutants following 20 generations of growth with and without karmellae. Using an initial population of 1,557 deletion mutants, 120 potential mutants were identified as a result of three independent experiments. Each experiment produced a largely non-overlapping set of potential mutants, suggesting that differences in specific growth conditions could be used to maximize the comprehensiveness of similar parallel analysis screens. Only two genes, UBC7 and YAL011W, were identified in all three experiments. Subsequent analysis of individual mutant strains confirmed that each experiment was identifying valid mutations, based on the mutant's sensitivity to elevated HMG-CoA reductase and inability to assemble normal karmellae. The largest class of HMG-CoA reductase-sensitive mutations was a subset of genes that are involved in chromatin structure and transcriptional regulation, suggesting that karmellae assembly requires changes in transcription or that the presence of karmellae may interfere with normal transcriptional regulation. Copyright 2003 John Wiley & Sons, Ltd.

  13. System reliability analysis using dominant failure modes identified by selective searching technique

    International Nuclear Information System (INIS)

    Kim, Dong-Seok; Ok, Seung-Yong; Song, Junho; Koh, Hyun-Moo

    2013-01-01

    The failure of a redundant structural system is often described by innumerable system failure modes such as combinations or sequences of local failures. An efficient approach is proposed to identify dominant failure modes in the space of random variables, and then perform system reliability analysis to compute the system failure probability. To identify dominant failure modes in the decreasing order of their contributions to the system failure probability, a new simulation-based selective searching technique is developed using a genetic algorithm. The system failure probability is computed by a multi-scale matrix-based system reliability (MSR) method. Lower-scale MSR analyses evaluate the probabilities of the identified failure modes and their statistical dependence. A higher-scale MSR analysis evaluates the system failure probability based on the results of the lower-scale analyses. Three illustrative examples demonstrate the efficiency and accuracy of the approach through comparison with existing methods and Monte Carlo simulations. The results show that the proposed method skillfully identifies the dominant failure modes, including those neglected by existing approaches. The multi-scale MSR method accurately evaluates the system failure probability with statistical dependence fully considered. The decoupling between the failure mode identification and the system reliability evaluation allows for effective applications to larger structural systems

  14. Attitudinal segmentaion of drivers in Pakistan: The potential for effective road safety campaigns.

    Science.gov (United States)

    Batool, Zahara; Carsten, Oliver

    2018-05-01

    Deviant driving behaviors are considered as the main cause of Road Traffic Accidents in Pakistan. This research is founded on the premise that driving behaviors are mediated by attitudinal and motivational factors. It advocates that rather than simply aggregating drivers' responses or a-priori classification of them based on their personal characteristics, adoption of segmentation technique is more useful to look at multiple factors provoking aberrant driving behavior in combination and not just in isolation. For this, the study generated an Attitudinal Questionnaire, inspired by the Ajzen's Theory of Planned Behavior (TPB: Ajzen, 1991), and extended violation-scale of modified Driver Behavior Questionnaire (DBQ: Lawton et al., 1997). Attitudinal and behavioral items are first factor analyzed. Then, cluster analysis is performed on extracted attitudinal factors which classified sample driving population into four relatively homogenous and distinct groups of drivers. The results demonstrated the explanatory utility of the market segmentation approach to systematically relate the interaction between attitudes, behaviors and socio-demographic characteristics of drivers. It is concluded that the approach is successful in distinguishing safe drivers from unsafe driver and therefore, can legitimately form the basis of road safety interventions. Finally, the findings are used to recommend targeted information-based road safety solutions with a focus on the diverse characteristics of each of the identified segments. Copyright © 2017 Elsevier Ltd. All rights reserved.

  15. Identifying Innovative Interventions to Promote Healthy Eating Using Consumption-Oriented Food Supply Chain Analysis.

    Science.gov (United States)

    Hawkes, Corinna

    2009-07-01

    The mapping and analysis of supply chains is a technique increasingly used to address problems in the food system. Yet such supply chain management has not yet been applied as a means of encouraging healthier diets. Moreover, most policies recommended to promote healthy eating focus on the consumer end of the chain. This article proposes a consumption-oriented food supply chain analysis to identify the changes needed in the food supply chain to create a healthier food environment, measured in terms of food availability, prices, and marketing. Along with established forms of supply chain analysis, the method is informed by a historical overview of how food supply chains have changed over time. The method posits that the actors and actions in the chain are affected by organizational, financial, technological, and policy incentives and disincentives, which can in turn be levered for change. It presents a preliminary example of the supply of Coca-Cola beverages into school vending machines and identifies further potential applications. These include fruit and vegetable supply chains, local food chains, supply chains for health-promoting versions of food products, and identifying financial incentives in supply chains for healthier eating.

  16. Electron cloud considerations for HIF drivers

    Energy Technology Data Exchange (ETDEWEB)

    Cohen, R.H., E-mail: rhcohen@lbl.gov [Lawrence Livermore National Laboratory, P.O. Box 808, Livermore, CA 94550 (United States); Heavy Ion Fusion Science Virtual National Laboratory (United States)

    2014-01-01

    We review some previous results on electron-cloud dynamics and accumulation and the impact of electron clouds on ion beam dynamics, and assess these in the context of a magnetic-quadrupole-based heavy-ion fusion driver. We present a new analysis which exploits analytic solution of linearized envelope equations between accelerating gaps to derive a set of mapping equations which we use to extrapolate from previously obtained particle-simulation results for a beam transport system to an HIF driver.

  17. Using a Systematic Approach to Identifying Organizational Factors in Root Cause Analysis

    International Nuclear Information System (INIS)

    Gallogly, Kay Wilde

    2011-01-01

    This presentation set the scene for the second discussion session. In her presentation, the author observed that: - Investigators do not see the connection between the analysis tools available and the identification of HOF. Most investigators use the tools in a cursory manner and so do not derive the full benefits of the tools. Some tools are used for presentation purposes as opposed to being used for analytical purposes e.g. event and causal factors charts. In some cases, the report will indicate that specific analytical tools were used in the investigation but the analysis is not in the body of the report. - Some investigators are documenting HOF causes but do not recognize them as such. This indicates a lack of understanding of HOF. - Others investigators focus on technical issues because of their own comfort level. - The culture of the Organisation will affect the depth of the investigation and therefore the use of the analytical tools to pursue HOF issues. - The author contends that if analysis tools are applied systematically to gather factually based data, then HOF issues can be identified. The use of factual information (without judgement and subjectivity) is important to maintain the credibility of the investigation especially when HOF issues are identified. - Systematic use of tools assists in better communication of the issues to foster greater understanding and acceptance by senior management. - Barrier Analysis, Change Analysis, and TWIN (Task Demands, Work Environment, Individual Capabilities, and Human Nature) all offer the opportunity to identify HOF issues if the analyst pursues this line of investigation. It was illustrated that many elements of the TWIN Error Precursors are themselves Organisational in nature. - The TWIN model applied to the Anatomy of an Event will help to distinguish those which are Organisational issues (Latent Organisational Weaknesses, Error Precursors and Flawed Defences) and those which are human factors (Active Errors

  18. A Continuing Analysis of Possible Activity Drivers for the Enigmatic Comet 29P/Schwassmann-Wachmann 1

    Science.gov (United States)

    Schambeau, Charles; Fernández, Yanga; Samarasinha, Nalin H.; Mueller, Beatrice E. A.; Sarid, Gal; Meech, Karen Jean; Woodney, Laura

    2016-01-01

    We present results from our effort to understand activity drivers in Comet 29P/Schwassmann-Wachmann 1 (SW1). In a nearly circular orbit around 6 AU, outside of the water-sublimation zone, SW1 is continuously active and experiences frequent outbursts. Our group's effort is focusing on finding constraints on physical and dynamical properties of SW1's nucleus and their incorporation into a thermophysical model [1,2] to explain this behavior. We are currently analyzing coma morphology of SW1 before, during, and after outburst placing constraints on the spin-pole direction, spin period, and surface areas of activity. In addition, we are using the thermal model to investigate if the continuous activity comes from one or multiple processes, such as the release of trapped supervolatiles during the amorphous to crystalline (A-C) water ice phase transition and/or the direct sublimation of pockets of supervolatile ices. The supervolatile ices may be primordial or from the condensation of gases released during the A-C phase transition. To explain the possibly quasi-periodic but frequent outbursts, we are looking into subsurface cavities where internal pressures can build, reaching and exceeding surrounding material strengths [3,4] and/or thermal waves reaching a pocket of supervolatile ices, causing a rapid increase in the sublimation rate. For all these phenomena, the model is constrained by comparing the output dust mass loss rate and its variability with what has been observed through optical imaging of the comet at various points in its orbit. We will present preliminary thermal modeling of a homogeneous progenitor nucleus that evolves into a body showing internal material layering, the generation of CO and CO2 ice pockets, and the production of outbursts, thus bringing us closer to explaining the behavior of this intriguing comet. [1] Sarid, G., et al.: 2005, PASP, 117, 843. [2] Sarid, G.: 2009, PhD Thesis, Tel Aviv Univ. [3] Gronkowski, P., 2014, Astron. Nachr./AN 2, No

  19. Cooperative advanced Driver assistance Systems - Technological measures for data privacy compliance

    OpenAIRE

    Jäger, Hubert; Schnieder, Lars

    2016-01-01

    Cooperative advanced driver assistance systems (ADAS) will contribute to road traffic safety: Critical situations will be detected, the driver alerted and control of the vehicle interfered with automatically. However, the introduction of such driver assistance systems presupposes that data privacy issues have already been solved in advance. A necessary condition for the driver to accept and trust new Driver assistance systems is that his/her personal and personally identifiable data will be t...

  20. Enhanced meta-analysis and replication studies identify five new psoriasis susceptibility loci

    Science.gov (United States)

    Tsoi, Lam C; Spain, Sarah L; Ellinghaus, Eva; Stuart, Philip E; Capon, Francesca; Knight, Jo; Tejasvi, Trilokraj; Kang, Hyun M; Allen, Michael H; Lambert, Sylviane; Stoll, Stefan; Weidinger, Stephan; Gudjonsson, Johann E; Koks, Sulev; Kingo, Külli; Esko, Tonu; Das, Sayantan; Metspalu, Andres; Weichenthal, Michael; Enerback, Charlotta; Krueger, Gerald G.; Voorhees, John J; Chandran, Vinod; Rosen, Cheryl F; Rahman, Proton; Gladman, Dafna D; Reis, Andre; Nair, Rajan P; Franke, Andre; Barker, Jonathan NWN; Abecasis, Goncalo R; Trembath, Richard C; Elder, James T

    2015-01-01

    Psoriasis is a chronic autoimmune disease with complex genetic architecture. Previous genomewide association studies (GWAS) and a recent meta-analysis using Immunochip data have uncovered 36 susceptibility loci. Here, we extend our previous meta-analysis of European ancestry by refined genotype calling and imputation and by the addition of 5,033 cases and 5,707 controls. The combined analysis, consisting of over 15,000 cases and 27,000 controls, identifies five new psoriasis susceptibility loci at genomewide significance (p < 5 × 10−8). The newly identified signals include two that reside in intergenic regions (1q31.1 and 5p13.1) and three residing near PLCL2 (3p24.3), NFKBIZ (3q12.3), and CAMK2G (10q22.2). We further demonstrate that NFKBIZ is a TRAF3IP2–dependent target of IL-17 signaling in human skin keratinocytes, thereby functionally linking two strong candidate genes. These results further integrate the genetics and immunology of psoriasis, suggesting new avenues for functional analysis and improved therapies. PMID:25939698

  1. Efficient behavior of photosynthetic organelles via Pareto optimality, identifiability, and sensitivity analysis.

    Science.gov (United States)

    Carapezza, Giovanni; Umeton, Renato; Costanza, Jole; Angione, Claudio; Stracquadanio, Giovanni; Papini, Alessio; Lió, Pietro; Nicosia, Giuseppe

    2013-05-17

    In this work, we develop methodologies for analyzing and cross comparing metabolic models. We investigate three important metabolic networks to discuss the complexity of biological organization of organisms, modeling, and system properties. In particular, we analyze these metabolic networks because of their biotechnological and basic science importance: the photosynthetic carbon metabolism in a general leaf, the Rhodobacter spheroides bacterium, and the Chlamydomonas reinhardtii alga. We adopt single- and multi-objective optimization algorithms to maximize the CO 2 uptake rate and the production of metabolites of industrial interest or for ecological purposes. We focus both on the level of genes (e.g., finding genetic manipulations to increase the production of one or more metabolites) and on finding concentration enzymes for improving the CO 2 consumption. We find that R. spheroides is able to absorb an amount of CO 2 until 57.452 mmol h (-1) gDW (-1) , while C. reinhardtii obtains a maximum of 6.7331. We report that the Pareto front analysis proves extremely useful to compare different organisms, as well as providing the possibility to investigate them with the same framework. By using the sensitivity and robustness analysis, our framework identifies the most sensitive and fragile components of the biological systems we take into account, allowing us to compare their models. We adopt the identifiability analysis to detect functional relations among enzymes; we observe that RuBisCO, GAPDH, and FBPase belong to the same functional group, as suggested also by the sensitivity analysis.

  2. Structural brain change in Attention Deficit Hyperactivity Disorder identified by meta-analysis.

    Science.gov (United States)

    Ellison-Wright, Ian; Ellison-Wright, Zoë; Bullmore, Ed

    2008-06-30

    The authors sought to map gray matter changes in Attention Deficit Hyperactivity Disorder (ADHD) using a novel technique incorporating neuro-imaging and genetic meta-analysis methods. A systematic search was conducted for voxel-based structural magnetic resonance imaging studies of patients with ADHD (or with related disorders) in relation to comparison groups. The authors carried out meta-analyses of the co-ordinates of gray matter differences. For the meta-analyses they hybridised the standard method of Activation Likelihood Estimation (ALE) with the rank approach used in Genome Scan Meta-Analysis (GSMA). This system detects three-dimensional conjunctions of co-ordinates from multiple studies and permits the weighting of studies in relation to sample size. For gray matter decreases, there were 7 studies including a total of 114 patients with ADHD (or related disorders) and 143 comparison subjects. Meta-analysis of these studies identified a significant regional gray matter reduction in ADHD in the right putamen/globus pallidus region. Four studies reported gray matter increases in ADHD but no regional increase was identified by meta-analysis. In ADHD there is gray matter reduction in the right putamen/globus pallidus region. This may be an anatomical marker for dysfunction in frontostriatal circuits mediating cognitive control. Right putamen lesions have been specifically associated with ADHD symptoms after closed head injuries in children.

  3. Structural brain change in Attention Deficit Hyperactivity Disorder identified by meta-analysis

    Directory of Open Access Journals (Sweden)

    Ellison-Wright Zoë

    2008-06-01

    Full Text Available Abstract Background The authors sought to map gray matter changes in Attention Deficit Hyperactivity Disorder (ADHD using a novel technique incorporating neuro-imaging and genetic meta-analysis methods. Methods A systematic search was conducted for voxel-based structural magnetic resonance imaging studies of patients with ADHD (or with related disorders in relation to comparison groups. The authors carried out meta-analyses of the co-ordinates of gray matter differences. For the meta-analyses they hybridised the standard method of Activation Likelihood Estimation (ALE with the rank approach used in Genome Scan Meta-Analysis (GSMA. This system detects three-dimensional conjunctions of co-ordinates from multiple studies and permits the weighting of studies in relation to sample size. Results For gray matter decreases, there were 7 studies including a total of 114 patients with ADHD (or related disorders and 143 comparison subjects. Meta-analysis of these studies identified a significant regional gray matter reduction in ADHD in the right putamen/globus pallidus region. Four studies reported gray matter increases in ADHD but no regional increase was identified by meta-analysis. Conclusion In ADHD there is gray matter reduction in the right putamen/globus pallidus region. This may be an anatomical marker for dysfunction in frontostriatal circuits mediating cognitive control. Right putamen lesions have been specifically associated with ADHD symptoms after closed head injuries in children.

  4. Gene Expression Signature Analysis Identifies Vorinostat as a Candidate Therapy for Gastric Cancer

    Science.gov (United States)

    Choi, Woonyoung; Park, Yun-Yong; Kim, KyoungHyun; Kim, Sang-Bae; Lee, Ju-Seog; Mills, Gordon B.; Cho, Jae Yong

    2011-01-01

    Background Gastric cancer continues to be one of the deadliest cancers in the world and therefore identification of new drugs targeting this type of cancer is thus of significant importance. The purpose of this study was to identify and validate a therapeutic agent which might improve the outcomes for gastric cancer patients in the future. Methodology/Principal Findings Using microarray technology, we generated a gene expression profile of human gastric cancer–specific genes from human gastric cancer tissue samples. We used this profile in the Broad Institute's Connectivity Map analysis to identify candidate therapeutic compounds for gastric cancer. We found the histone deacetylase inhibitor vorinostat as the lead compound and thus a potential therapeutic drug for gastric cancer. Vorinostat induced both apoptosis and autophagy in gastric cancer cell lines. Pharmacological and genetic inhibition of autophagy however, increased the therapeutic efficacy of vorinostat, indicating that a combination of vorinostat with autophagy inhibitors may therapeutically be more beneficial. Moreover, gene expression analysis of gastric cancer identified a collection of genes (ITGB5, TYMS, MYB, APOC1, CBX5, PLA2G2A, and KIF20A) whose expression was elevated in gastric tumor tissue and downregulated more than 2-fold by vorinostat treatment in gastric cancer cell lines. In contrast, SCGB2A1, TCN1, CFD, APLP1, and NQO1 manifested a reversed pattern. Conclusions/Significance We showed that analysis of gene expression signature may represent an emerging approach to discover therapeutic agents for gastric cancer, such as vorinostat. The observation of altered gene expression after vorinostat treatment may provide the clue to identify the molecular mechanism of vorinostat and those patients likely to benefit from vorinostat treatment. PMID:21931799

  5. Gene expression signature analysis identifies vorinostat as a candidate therapy for gastric cancer.

    Directory of Open Access Journals (Sweden)

    Sofie Claerhout

    Full Text Available Gastric cancer continues to be one of the deadliest cancers in the world and therefore identification of new drugs targeting this type of cancer is thus of significant importance. The purpose of this study was to identify and validate a therapeutic agent which might improve the outcomes for gastric cancer patients in the future.Using microarray technology, we generated a gene expression profile of human gastric cancer-specific genes from human gastric cancer tissue samples. We used this profile in the Broad Institute's Connectivity Map analysis to identify candidate therapeutic compounds for gastric cancer. We found the histone deacetylase inhibitor vorinostat as the lead compound and thus a potential therapeutic drug for gastric cancer. Vorinostat induced both apoptosis and autophagy in gastric cancer cell lines. Pharmacological and genetic inhibition of autophagy however, increased the therapeutic efficacy of vorinostat, indicating that a combination of vorinostat with autophagy inhibitors may therapeutically be more beneficial. Moreover, gene expression analysis of gastric cancer identified a collection of genes (ITGB5, TYMS, MYB, APOC1, CBX5, PLA2G2A, and KIF20A whose expression was elevated in gastric tumor tissue and downregulated more than 2-fold by vorinostat treatment in gastric cancer cell lines. In contrast, SCGB2A1, TCN1, CFD, APLP1, and NQO1 manifested a reversed pattern.We showed that analysis of gene expression signature may represent an emerging approach to discover therapeutic agents for gastric cancer, such as vorinostat. The observation of altered gene expression after vorinostat treatment may provide the clue to identify the molecular mechanism of vorinostat and those patients likely to benefit from vorinostat treatment.

  6. Identifying items to assess methodological quality in physical therapy trials: a factor analysis.

    Science.gov (United States)

    Armijo-Olivo, Susan; Cummings, Greta G; Fuentes, Jorge; Saltaji, Humam; Ha, Christine; Chisholm, Annabritt; Pasichnyk, Dion; Rogers, Todd

    2014-09-01

    Numerous tools and individual items have been proposed to assess the methodological quality of randomized controlled trials (RCTs). The frequency of use of these items varies according to health area, which suggests a lack of agreement regarding their relevance to trial quality or risk of bias. The objectives of this study were: (1) to identify the underlying component structure of items and (2) to determine relevant items to evaluate the quality and risk of bias of trials in physical therapy by using an exploratory factor analysis (EFA). A methodological research design was used, and an EFA was performed. Randomized controlled trials used for this study were randomly selected from searches of the Cochrane Database of Systematic Reviews. Two reviewers used 45 items gathered from 7 different quality tools to assess the methodological quality of the RCTs. An exploratory factor analysis was conducted using the principal axis factoring (PAF) method followed by varimax rotation. Principal axis factoring identified 34 items loaded on 9 common factors: (1) selection bias; (2) performance and detection bias; (3) eligibility, intervention details, and description of outcome measures; (4) psychometric properties of the main outcome; (5) contamination and adherence to treatment; (6) attrition bias; (7) data analysis; (8) sample size; and (9) control and placebo adequacy. Because of the exploratory nature of the results, a confirmatory factor analysis is needed to validate this model. To the authors' knowledge, this is the first factor analysis to explore the underlying component items used to evaluate the methodological quality or risk of bias of RCTs in physical therapy. The items and factors represent a starting point for evaluating the methodological quality and risk of bias in physical therapy trials. Empirical evidence of the association among these items with treatment effects and a confirmatory factor analysis of these results are needed to validate these items.

  7. General oilfield driver improvement

    International Nuclear Information System (INIS)

    Johnson, G.

    1997-01-01

    The general oilfield driver improvement (GODI) course was discussed. The course is offered to truckers in the oil and gas industry to help reduce accidents and injuries. Oilfield trucking is one of the most accident and injury prone sectors in the Alberta economy. This paper presented Heck's Trucking company's experience in sending its employees on the course. Drivers were taught (1) the National safety code requirements, (2) Commercial Vehicle Safety Alliance requirements, (3) occupational health and safety concerns, (4) vehicle dimension and GVW restrictions, (5) hours of service regulations, (6) log book and pre-trip inspection requirements, (7) workplace hazardous material information, and (8) transportation of dangerous goods. Overall, the course was judged to provide excellent training before sending drivers into the field. The employee, the customer, and the company, all stand to benefit from having rigorous and uniform standards for all drivers in the oil and gas industry

  8. Internet driver education study.

    Science.gov (United States)

    2010-05-01

    Incorporating technology through online courses, including drivers education (DE), is the wave of the future for : learning. While many states allow online DE as an accepted method of learning, Wisconsin currently only allows it on a : limited bas...

  9. Mass drivers. 3: Engineering

    Science.gov (United States)

    Arnold, W.; Bowen, S.; Cohen, S.; Fine, K.; Kaplan, D.; Kolm, M.; Kolm, H.; Newman, J.; Oneill, G. K.; Snow, W.

    1979-01-01

    The last of a series of three papers by the Mass-Driver Group of the 1977 Ames Summer Study is presented. It develops the engineering principles required to implement the basic mass-driver. Optimum component mass trade-offs are derived from a set of four input parameters, and the program used to design a lunar launcher. The mass optimization procedures is then incorporated into a more comprehensive mission optimization program called OPT-4, which evaluates an optimized mass-driver reaction engine and its performance in a range of specified missions. Finally, this paper discusses, to the extent that time permitted, certain peripheral problems: heating effects in buckets due to magnetic field ripple; an approximate derivation of guide force profiles; the mechanics of inserting and releasing payloads; the reaction mass orbits; and a proposed research and development plan for implementing mass drivers.

  10. Long non-coding RNA expression profiles in gallbladder carcinoma identified using microarray analysis.

    Science.gov (United States)

    Wang, Jiwen; Liu, Han; Shen, Xiaokun; Wang, Yueqi; Zhang, Dexiang; Shen, Sheng; Suo, Tao; Pan, Hongtao; Ming, Yue; Ding, Kan; Liu, Houbao

    2017-05-01

    Gallbladder carcinoma (GBC) is the most common biliary tract cancer and exhibits poor patient prognosis. Previous studies have identified that long non-coding RNAs (lncRNAs) serve important regulatory roles in cancer biology. Alterations in lncRNAs are associated with several types of cancer. However, the contribution of lncRNAs to GBC remains unclear. To investigate the lncRNAs that are potentially involved in GBC, lncRNA profiles were identified in three pairs of human GBC and corresponding peri-carcinomatous tissue samples using microarray analysis. Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) was used to validate the microarray data. In order to elucidate potential functions, Gene Ontology, Kyoto Encyclopedia of Genes and Genomes analysis, and network analysis were used to determine relevant signaling pathways. Abundant RNA probes were used, and 1,758 lncRNAs and 1,254 mRNAs were detected to be differentially expressed by the microarray. Compared with para-carcinoma tissue, numerous lncRNAs were markedly upregulated or downregulated in GBC. The results demonstrated that the lncRNAs that were downregulated in GBC were more numerous compared with the lncRNAs that were upregulated. Among them, RP11-152P17.2-006 was the most upregulated, whereas CTA-941F9.9 was the most downregulated. The RT-qPCR results were consistent with the microarray data. Pathway analysis indicated that five pathways corresponded to the differentially expressed transcripts. It was demonstrated that lncRNA expression in GBC was markedly altered, and a series of novel lncRNAs associated with GBC were identified. The results of the present study suggest that the functions of lncRNAs are important in GBC development and progression.

  11. Cluster analysis identifies three urodynamic patterns in patients with orthotopic neobladder reconstruction.

    Directory of Open Access Journals (Sweden)

    Kwang Hyun Kim

    Full Text Available To classify patients with orthotopic neobladder based on urodynamic parameters using cluster analysis and to characterize the voiding function of each group.From January 2012 to November 2015, 142 patients with bladder cancer underwent radical cystectomy and Studer neobladder reconstruction at our institute. Of the 142 patients, 103 with complete urodynamic data and information on urinary functional outcomes were included in this study. K-means clustering was performed with urodynamic parameters which included maximal cystometric capacity, residual volume, maximal flow rate, compliance, and detrusor pressure at maximum flow rate. Three groups emerged by cluster analysis. Urodynamic parameters and urinary function outcomes were compared between three groups.Group 1 (n = 44 had ideal urodynamic parameters with a mean maximal bladder capacity of 513.3 ml and mean residual urine volume of 33.1 ml. Group 2 (n = 42 was characterized by small bladder capacity with low compliance. Patients in group 2 had higher rates of daytime incontinence and nighttime incontinence than patients in group 1. Group 3 (n = 17 was characterized by large residual urine volume with high compliance. When we examined gender differences in urodynamics and functional outcomes, residual urine volume and the rate of daytime incontinence were only marginally significant. However, females were significantly more likely to belong to group 2 or 3 (P = 0.003. In multivariate analysis to identify factors associated with group 1 which has the most ideal urodynamic pattern, age (OR 0.95, P = 0.017 and male gender (OR 7.57, P = 0.003 were identified as significant factors.While patients with ileal neobladder present with various voiding symptoms, three urodynamic patterns were identified by cluster analysis. Approximately half of patients had ideal urodynamic parameters. The other two groups were characterized by large residual urine and small capacity bladder with low compliance. Young

  12. Shortest-path network analysis is a useful approach toward identifying genetic determinants of longevity.

    Directory of Open Access Journals (Sweden)

    J R Managbanag

    Full Text Available BACKGROUND: Identification of genes that modulate longevity is a major focus of aging-related research and an area of intense public interest. In addition to facilitating an improved understanding of the basic mechanisms of aging, such genes represent potential targets for therapeutic intervention in multiple age-associated diseases, including cancer, heart disease, diabetes, and neurodegenerative disorders. To date, however, targeted efforts at identifying longevity-associated genes have been limited by a lack of predictive power, and useful algorithms for candidate gene-identification have also been lacking. METHODOLOGY/PRINCIPAL FINDINGS: We have utilized a shortest-path network analysis to identify novel genes that modulate longevity in Saccharomyces cerevisiae. Based on a set of previously reported genes associated with increased life span, we applied a shortest-path network algorithm to a pre-existing protein-protein interaction dataset in order to construct a shortest-path longevity network. To validate this network, the replicative aging potential of 88 single-gene deletion strains corresponding to predicted components of the shortest-path longevity network was determined. Here we report that the single-gene deletion strains identified by our shortest-path longevity analysis are significantly enriched for mutations conferring either increased or decreased replicative life span, relative to a randomly selected set of 564 single-gene deletion strains or to the current data set available for the entire haploid deletion collection. Further, we report the identification of previously unknown longevity genes, several of which function in a conserved longevity pathway believed to mediate life span extension in response to dietary restriction. CONCLUSIONS/SIGNIFICANCE: This work demonstrates that shortest-path network analysis is a useful approach toward identifying genetic determinants of longevity and represents the first application of

  13. OLDER DRIVERS AND ADAS

    Directory of Open Access Journals (Sweden)

    Ragnhild J. DAVIDSE

    2006-01-01

    Next, based on the available literature, relevant ADAS are discussed in terms of their availability, their effects on safety and the willingness of older drivers to use and buy them. One of the conclusions is that only very few of the types of support that are thought to be most beneficial to the safety of older drivers are provided by the ADAS that are currently available.

  14. Space-Time Analysis to Identify Areas at Risk of Mortality from Cardiovascular Disease

    Directory of Open Access Journals (Sweden)

    Poliany C. O. Rodrigues

    2015-01-01

    Full Text Available This study aimed at identifying areas that were at risk of mortality due to cardiovascular disease in residents aged 45 years or older of the cities of Cuiabá and Várzea Grande between 2009 and 2011. We conducted an ecological study of mortality rates related to cardiovascular disease. Mortality rates were calculated for each census tract by the Local Empirical Bayes estimator. High- and low-risk clusters were identified by retrospective space-time scans for each year using the Poisson probability model. We defined the year and month as the temporal analysis unit and the census tracts as the spatial analysis units adjusted by age and sex. The Mann-Whitney U test was used to compare the socioeconomic and environmental variables by risk classification. High-risk clusters showed higher income ratios than low-risk clusters, as did temperature range and atmospheric particulate matter. Low-risk clusters showed higher humidity than high-risk clusters. The Eastern region of Várzea Grande and the central region of Cuiabá were identified as areas at risk of mortality due to cardiovascular disease in individuals aged 45 years or older. High mortality risk was associated with socioeconomic and environmental factors. More high-risk clusters were observed at the end of the dry season.

  15. Messina: a novel analysis tool to identify biologically relevant molecules in disease.

    Directory of Open Access Journals (Sweden)

    Mark Pinese

    Full Text Available BACKGROUND: Morphologically similar cancers display heterogeneous patterns of molecular aberrations and follow substantially different clinical courses. This diversity has become the basis for the definition of molecular phenotypes, with significant implications for therapy. Microarray or proteomic expression profiling is conventionally employed to identify disease-associated genes, however, traditional approaches for the analysis of profiling experiments may miss molecular aberrations which define biologically relevant subtypes. METHODOLOGY/PRINCIPAL FINDINGS: Here we present Messina, a method that can identify those genes that only sometimes show aberrant expression in cancer. We demonstrate with simulated data that Messina is highly sensitive and specific when used to identify genes which are aberrantly expressed in only a proportion of cancers, and compare Messina to contemporary analysis techniques. We illustrate Messina by using it to detect the aberrant expression of a gene that may play an important role in pancreatic cancer. CONCLUSIONS/SIGNIFICANCE: Messina allows the detection of genes with profiles typical of markers of molecular subtype, and complements existing methods to assist the identification of such markers. Messina is applicable to any global expression profiling data, and to allow its easy application has been packaged into a freely-available stand-alone software package.

  16. Identifying fine sediment sources to alleviate flood risk caused by fine sediments through catchment connectivity analysis

    Science.gov (United States)

    Twohig, Sarah; Pattison, Ian; Sander, Graham

    2017-04-01

    Fine sediment poses a significant threat to UK river systems in terms of vegetation, aquatic habitats and morphology. Deposition of fine sediment onto the river bed reduces channel capacity resulting in decreased volume to contain high flow events. Once the in channel problem has been identified managers are under pressure to sustainably mitigate flood risk. With climate change and land use adaptations increasing future pressures on river catchments it is important to consider the connectivity of fine sediment throughout the river catchment and its influence on channel capacity, particularly in systems experiencing long term aggradation. Fine sediment erosion is a continuing concern in the River Eye, Leicestershire. The predominately rural catchment has a history of flooding within the town of Melton Mowbray. Fine sediment from agricultural fields has been identified as a major contributor of sediment delivery into the channel. Current mitigation measures are not sustainable or successful in preventing the continuum of sediment throughout the catchment. Identifying the potential sources and connections of fine sediment would provide insight into targeted catchment management. 'Sensitive Catchment Integrated Modelling Analysis Platforms' (SCIMAP) is a tool often used by UK catchment managers to identify potential sources and routes of sediment within a catchment. SCIMAP is a risk based model that combines hydrological (rainfall) and geomorphic controls (slope, land cover) to identify the risk of fine sediment being transported from source into the channel. A desktop version of SCIMAP was run for the River Eye at a catchment scale using 5m terrain, rainfall and land cover data. A series of SCIMAP model runs were conducted changing individual parameters to determine the sensitivity of the model. Climate Change prediction data for the catchment was used to identify potential areas of future connectivity and erosion risk for catchment managers. The results have been

  17. Drivers license display system

    Science.gov (United States)

    Prokoski, Francine J.

    1997-01-01

    Carjackings are only one of a growing class of law enforcement problems associated with increasingly violent crimes and accidents involving automobiles plays weapons, drugs and alcohol. Police traffic stops have become increasingly dangerous, with an officer having no information about a vehicle's potentially armed driver until approaching him. There are 15 million alcoholics in the US and 90 percent of them have drivers licenses. Many of them continue driving even after their licenses have ben revoked or suspended. There are thousands of unlicensed truck drivers in the country, and also thousands who routinely exceed safe operating periods without rest; often using drugs in an attempt to stay alert. MIKOS has developed the Drivers License Display Systems to reduce these and other related risks. Although every state requires the continuous display of vehicle registration information on every vehicle using public roads, no state yet requires the display of driver license information. The technology exists to provide that feature as an add-on to current vehicles for nominal cost. An initial voluntary market is expected to include: municipal, rental, and high value vehicles which are most likely to be mis-appropriated. It is anticipated that state regulations will eventually require such systems in the future, beginning with commercial vehicles, and then extending to high risk drivers and eventually all vehicles. The MIKOS system offers a dual-display approach which can be deployed now, and which will utilize all existing state licenses without requiring standardization.

  18. Graduated Driver Licensing

    Science.gov (United States)

    Bates, Lyndel J.; Allen, Siobhan; Armstrong, Kerry; Watson, Barry; King, Mark J.; Davey, Jeremy

    2014-01-01

    Graduated driver licensing (GDL) aims to gradually increase the exposure of new drivers to more complex driving situations and typically consists of learner, provisional and open licence phases. The first phase, the learner licence, is designed to allow novice drivers to obtain practical driving experience in lower risk situations. The learner licence can delay licensure, encourage novice drivers to learn under supervision, mandate the number of hours of practice required to progress to the next phase and encourage parental involvement. The second phase, the provisional licence, establishes various driving restrictions and thereby reduces exposure to situations of higher risk, such as driving at night, with passengers or after drinking alcohol. Parental involvement with a GDL system appears essential in helping novices obtain sufficient practice and in enforcing compliance with restrictions once the new driver obtains a provisional licence. Given the significant number of young drivers involved in crashes within Oman, GDL is one countermeasure that may be beneficial in reducing crash risk and involvement for this group. PMID:25364543

  19. Research Data Management and Libraries: Relationships, Activities, Drivers and Influences

    Science.gov (United States)

    Pinfield, Stephen; Cox, Andrew M.; Smith, Jen

    2014-01-01

    The management of research data is now a major challenge for research organisations. Vast quantities of born-digital data are being produced in a wide variety of forms at a rapid rate in universities. This paper analyses the contribution of academic libraries to research data management (RDM) in the wider institutional context. In particular it: examines the roles and relationships involved in RDM, identifies the main components of an RDM programme, evaluates the major drivers for RDM activities, and analyses the key factors influencing the shape of RDM developments. The study is written from the perspective of library professionals, analysing data from 26 semi-structured interviews of library staff from different UK institutions. This is an early qualitative contribution to the topic complementing existing quantitative and case study approaches. Results show that although libraries are playing a significant role in RDM, there is uncertainty and variation in the relationship with other stakeholders such as IT services and research support offices. Current emphases in RDM programmes are on developments of policies and guidelines, with some early work on technology infrastructures and support services. Drivers for developments include storage, security, quality, compliance, preservation, and sharing with libraries associated most closely with the last three. The paper also highlights a ‘jurisdictional’ driver in which libraries are claiming a role in this space. A wide range of factors, including governance, resourcing and skills, are identified as influencing ongoing developments. From the analysis, a model is constructed designed to capture the main aspects of an institutional RDM programme. This model helps to clarify the different issues involved in RDM, identifying layers of activity, multiple stakeholders and drivers, and a large number of factors influencing the implementation of any initiative. Institutions may usefully benchmark their activities against

  20. Licensing procedures for older drivers.

    Science.gov (United States)

    2013-09-01

    This study examined the driver licensing procedures in all 50 States as they apply to the older (65+) driver. A literature review examined reports of possible declines in older driver capabilities and the ability of a driver licensing agency to scree...

  1. A meta-analysis of 120 246 individuals identifies 18 new loci for fibrinogen concentration.

    Science.gov (United States)

    de Vries, Paul S; Chasman, Daniel I; Sabater-Lleal, Maria; Chen, Ming-Huei; Huffman, Jennifer E; Steri, Maristella; Tang, Weihong; Teumer, Alexander; Marioni, Riccardo E; Grossmann, Vera; Hottenga, Jouke J; Trompet, Stella; Müller-Nurasyid, Martina; Zhao, Jing Hua; Brody, Jennifer A; Kleber, Marcus E; Guo, Xiuqing; Wang, Jie Jin; Auer, Paul L; Attia, John R; Yanek, Lisa R; Ahluwalia, Tarunveer S; Lahti, Jari; Venturini, Cristina; Tanaka, Toshiko; Bielak, Lawrence F; Joshi, Peter K; Rocanin-Arjo, Ares; Kolcic, Ivana; Navarro, Pau; Rose, Lynda M; Oldmeadow, Christopher; Riess, Helene; Mazur, Johanna; Basu, Saonli; Goel, Anuj; Yang, Qiong; Ghanbari, Mohsen; Willemsen, Gonneke; Rumley, Ann; Fiorillo, Edoardo; de Craen, Anton J M; Grotevendt, Anne; Scott, Robert; Taylor, Kent D; Delgado, Graciela E; Yao, Jie; Kifley, Annette; Kooperberg, Charles; Qayyum, Rehan; Lopez, Lorna M; Berentzen, Tina L; Räikkönen, Katri; Mangino, Massimo; Bandinelli, Stefania; Peyser, Patricia A; Wild, Sarah; Trégouët, David-Alexandre; Wright, Alan F; Marten, Jonathan; Zemunik, Tatijana; Morrison, Alanna C; Sennblad, Bengt; Tofler, Geoffrey; de Maat, Moniek P M; de Geus, Eco J C; Lowe, Gordon D; Zoledziewska, Magdalena; Sattar, Naveed; Binder, Harald; Völker, Uwe; Waldenberger, Melanie; Khaw, Kay-Tee; Mcknight, Barbara; Huang, Jie; Jenny, Nancy S; Holliday, Elizabeth G; Qi, Lihong; Mcevoy, Mark G; Becker, Diane M; Starr, John M; Sarin, Antti-Pekka; Hysi, Pirro G; Hernandez, Dena G; Jhun, Min A; Campbell, Harry; Hamsten, Anders; Rivadeneira, Fernando; Mcardle, Wendy L; Slagboom, P Eline; Zeller, Tanja; Koenig, Wolfgang; Psaty, Bruce M; Haritunians, Talin; Liu, Jingmin; Palotie, Aarno; Uitterlinden, André G; Stott, David J; Hofman, Albert; Franco, Oscar H; Polasek, Ozren; Rudan, Igor; Morange, Pierre-Emmanuel; Wilson, James F; Kardia, Sharon L R; Ferrucci, Luigi; Spector, Tim D; Eriksson, Johan G; Hansen, Torben; Deary, Ian J; Becker, Lewis C; Scott, Rodney J; Mitchell, Paul; März, Winfried; Wareham, Nick J; Peters, Annette; Greinacher, Andreas; Wild, Philipp S; Jukema, J Wouter; Boomsma, Dorret I; Hayward, Caroline; Cucca, Francesco; Tracy, Russell; Watkins, Hugh; Reiner, Alex P; Folsom, Aaron R; Ridker, Paul M; O'Donnell, Christopher J; Smith, Nicholas L; Strachan, David P; Dehghan, Abbas

    2016-01-15

    Genome-wide association studies have previously identified 23 genetic loci associated with circulating fibrinogen concentration. These studies used HapMap imputation and did not examine the X-chromosome. 1000 Genomes imputation provides better coverage of uncommon variants, and includes indels. We conducted a genome-wide association analysis of 34 studies imputed to the 1000 Genomes Project reference panel and including ∼120 000 participants of European ancestry (95 806 participants with data on the X-chromosome). Approximately 10.7 million single-nucleotide polymorphisms and 1.2 million indels were examined. We identified 41 genome-wide significant fibrinogen loci; of which, 18 were newly identified. There were no genome-wide significant signals on the X-chromosome. The lead variants of five significant loci were indels. We further identified six additional independent signals, including three rare variants, at two previously characterized loci: FGB and IRF1. Together the 41 loci explain 3% of the variance in plasma fibrinogen concentration. © The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

  2. Integrating Stakeholder Preferences and GIS-Based Multicriteria Analysis to Identify Forest Landscape Restoration Priorities

    Directory of Open Access Journals (Sweden)

    David Uribe

    2014-02-01

    Full Text Available A pressing question that arises during the planning of an ecological restoration process is: where to restore first? Answering this question is a complex task; it requires a multidimensional approach to consider economic constrains and the preferences of stakeholders. Being the problem of spatial nature, it may be explored effectively through Multicriteria Decision Analysis (MCDA performed in a Geographical Information System (GIS environment. The proposed approach is based on the definition and weighting of multiple criteria for evaluating land suitability. An MCDA-based methodology was used to identify priority areas for Forest Landscape Restoration in the Upper Mixtec region, Oaxaca (Mexico, one of the most degraded areas of Latin America. Socioeconomic and environmental criteria were selected and evaluated. The opinions of four different stakeholder groups were considered: general public, academic, Non-governmental organizations (NGOs and governmental officers. The preferences of these groups were spatially modeled to identify their priorities. The final result was a map that identifies the most preferable sites for restoration, where resources and efforts should be concentrated. MCDA proved to be a very useful tool in collective planning, when alternative sites have to be identified and prioritized to guide the restoration work.

  3. The systematic functional analysis of plasmodium protein kinases identifies essential regulators of mosquito transmission

    KAUST Repository

    Tewari, Rita

    2010-10-21

    Although eukaryotic protein kinases (ePKs) contribute to many cellular processes, only three Plasmodium falciparum ePKs have thus far been identified as essential for parasite asexual blood stage development. To identify pathways essential for parasite transmission between their mammalian host and mosquito vector, we undertook a systematic functional analysis of ePKs in the genetically tractable rodent parasite Plasmodium berghei. Modeling domain signatures of conventional ePKs identified 66 putative Plasmodium ePKs. Kinomes are highly conserved between Plasmodium species. Using reverse genetics, we show that 23 ePKs are redundant for asexual erythrocytic parasite development in mice. Phenotyping mutants at four life cycle stages in Anopheles stephensi mosquitoes revealed functional clusters of kinases required for sexual development and sporogony. Roles for a putative SR protein kinase (SRPK) in microgamete formation, a conserved regulator of clathrin uncoating (GAK) in ookinete formation, and a likely regulator of energy metabolism (SNF1/KIN) in sporozoite development were identified. 2010 Elsevier Inc.

  4. Genetic analysis of atherosclerosis identifies a major susceptibility locus in the major histocompatibility complex of mice.

    Science.gov (United States)

    Grainger, Andrew T; Jones, Michael B; Li, Jing; Chen, Mei-Hua; Manichaikul, Ani; Shi, Weibin

    2016-11-01

    Recent genome-wide association studies (GWAS) have identified over 50 significant loci containing common variants associated with coronary artery disease. However, these variants explain only 26% of the genetic heritability of the disease, suggesting that many more variants remain to be discovered. Here, we examined the genetic basis underlying the marked difference between SM/J-Apoe -/- and BALB/cJ-Apoe -/- mice in atherosclerotic lesion formation. 206 female F 2 mice generated from an intercross between the two Apoe -/- strains were fed 12 weeks of western diet. Atherosclerotic lesion sizes in the aortic root were measured and 149 genetic markers genotyped across the entire genome. A significant locus, named Ath49 (LOD score: 4.18), for atherosclerosis was mapped to the H2 complex [mouse major histocompatibility complex (MHC)] on chromosome 17. Bioinformatic analysis identified 12 probable candidate genes, including Tnfrsf21, Adgrf1, Adgrf5, Mep1a, and Pla2g7. Corresponding human genomic regions of Ath49 showed significant association with coronary heart disease. Five suggestive loci on chromosomes 1, 4, 5, and 8 for atherosclerosis were also identified. Atherosclerotic lesion sizes were significantly correlated with HDL but not with non-HDL cholesterol, triglyceride or glucose levels in the F 2 cohort. We have identified the MHC as a major genetic determinant of atherosclerosis, highlighting the importance of inflammation in atherogenesis. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

  5. Understanding Collateral Evolution in Linux Device Drivers

    DEFF Research Database (Denmark)

    Padioleau, Yoann; Lawall, Julia Laetitia; Muller, Gilles

    2006-01-01

    , as any changes in the interfaces exported by the kernel and driver support libraries can trigger a large number of adjustments in dependent drivers. These adjustments, which we refer to as collateral evolutions, may be complex, entailing substantial code reorganizations. As to our knowledge there exist...... no tools to help in this process, collateral evolution is thus time consuming and error prone.In this paper, we present a qualitative and quantitative assessment of collateral evolution in Linux device driver code. We provide a taxonomy of evolutions and collateral evolutions, and use an automated patch......-analysis tool that we have developed to measure the number of evolutions and collateral evolutions that affect device drivers between Linux versions 2.2 and 2.6. In particular, we find that from one version of Linux to the next, collateral evolutions can account for up to 35% of the lines modified in such code....

  6. Pathway cross-talk network analysis identifies critical pathways in neonatal sepsis.

    Science.gov (United States)

    Meng, Yu-Xiu; Liu, Quan-Hong; Chen, Deng-Hong; Meng, Ying

    2017-06-01

    Despite advances in neonatal care, sepsis remains a major cause of morbidity and mortality in neonates worldwide. Pathway cross-talk analysis might contribute to the inference of the driving forces in bacterial sepsis and facilitate a better understanding of underlying pathogenesis of neonatal sepsis. This study aimed to explore the critical pathways associated with the progression of neonatal sepsis by the pathway cross-talk analysis. By integrating neonatal transcriptome data with known pathway data and protein-protein interaction data, we systematically uncovered the disease pathway cross-talks and constructed a disease pathway cross-talk network for neonatal sepsis. Then, attract method was employed to explore the dysregulated pathways associated with neonatal sepsis. To determine the critical pathways in neonatal sepsis, rank product (RP) algorithm, centrality analysis and impact factor (IF) were introduced sequentially, which synthetically considered the differential expression of genes and pathways, pathways cross-talks and pathway parameters in the network. The dysregulated pathways with the highest IF values as well as RPpathways in neonatal sepsis. By integrating three kinds of data, only 6919 common genes were included to perform the pathway cross-talk analysis. By statistic analysis, a total of 1249 significant pathway cross-talks were selected to construct the pathway cross-talk network. Moreover, 47 dys-regulated pathways were identified via attract method, 20 pathways were identified under RPpathways with the highest IF were also screened from the pathway cross-talk network. Among them, we selected 8 common pathways, i.e. critical pathways. In this study, we systematically tracked 8 critical pathways involved in neonatal sepsis by integrating attract method and pathway cross-talk network. These pathways might be responsible for the host response in infection, and of great value for advancing diagnosis and therapy of neonatal sepsis. Copyright © 2017

  7. BAYESIAN ANALYSIS TO IDENTIFY NEW STAR CANDIDATES IN NEARBY YOUNG STELLAR KINEMATIC GROUPS

    International Nuclear Information System (INIS)

    Malo, Lison; Doyon, René; Lafrenière, David; Artigau, Étienne; Gagné, Jonathan; Baron, Frédérique; Riedel, Adric

    2013-01-01

    We present a new method based on a Bayesian analysis to identify new members of nearby young kinematic groups. The analysis minimally takes into account the position, proper motion, magnitude, and color of a star, but other observables can be readily added (e.g., radial velocity, distance). We use this method to find new young low-mass stars in the β Pictoris and AB Doradus moving groups and in the TW Hydrae, Tucana-Horologium, Columba, Carina, and Argus associations. Starting from a sample of 758 mid-K to mid-M (K5V-M5V) stars showing youth indicators such as Hα and X-ray emission, our analysis yields 214 new highly probable low-mass members of the kinematic groups analyzed. One is in TW Hydrae, 37 in β Pictoris, 17 in Tucana-Horologium, 20 in Columba, 6 in Carina, 50 in Argus, 32 in AB Doradus, and the remaining 51 candidates are likely young but have an ambiguous membership to more than one association. The false alarm rate for new candidates is estimated to be 5% for β Pictoris and TW Hydrae, 10% for Tucana-Horologium, Columba, Carina, and Argus, and 14% for AB Doradus. Our analysis confirms the membership of 58 stars proposed in the literature. Firm membership confirmation of our new candidates will require measurement of their radial velocity (predicted by our analysis), parallax, and lithium 6708 Å equivalent width. We have initiated these follow-up observations for a number of candidates, and we have identified two stars (2MASSJ01112542+1526214, 2MASSJ05241914-1601153) as very strong candidate members of the β Pictoris moving group and one strong candidate member (2MASSJ05332558-5117131) of the Tucana-Horologium association; these three stars have radial velocity measurements confirming their membership and lithium detections consistent with young age.

  8. Practical In-Depth Analysis of IDS Alerts for Tracing and Identifying Potential Attackers on Darknet

    Directory of Open Access Journals (Sweden)

    Jungsuk Song

    2017-02-01

    Full Text Available The darknet (i.e., a set of unused IP addresses is a very useful solution for observing the global trends of cyber threats and analyzing attack activities on the Internet. Since the darknet is not connected with real systems, in most cases, the incoming packets on the darknet (‘the darknet traffic’ do not contain a payload. This means that we are unable to get real malware from the darknet traffic. This situation makes it difficult for security experts (e.g., academic researchers, engineers, operators, etc. to identify whether the source hosts of the darknet traffic are infected by real malware or not. In this paper, we present the overall procedure of the in-depth analysis between the darknet traffic and IDS alerts using real data collected at the Science and Technology Cyber Security Center (S&T CSC in Korea and provide the detailed in-depth analysis results. The ultimate goal of this paper is to provide practical experience, insight and know-how to security experts so that they are able to identify and trace the root cause of the darknet traffic. The experimental results show that correlation analysis between the darknet traffic and IDS alerts is very useful to discover potential attack hosts, especially internal hosts, and to find out what kinds of malware infected them.

  9. Using sensitivity analysis to identify key factors for the propagation of a plant epidemic.

    Science.gov (United States)

    Rimbaud, Loup; Bruchou, Claude; Dallot, Sylvie; Pleydell, David R J; Jacquot, Emmanuel; Soubeyrand, Samuel; Thébaud, Gaël

    2018-01-01

    Identifying the key factors underlying the spread of a disease is an essential but challenging prerequisite to design management strategies. To tackle this issue, we propose an approach based on sensitivity analyses of a spatiotemporal stochastic model simulating the spread of a plant epidemic. This work is motivated by the spread of sharka, caused by plum pox virus , in a real landscape. We first carried out a broad-range sensitivity analysis, ignoring any prior information on six epidemiological parameters, to assess their intrinsic influence on model behaviour. A second analysis benefited from the available knowledge on sharka epidemiology and was thus restricted to more realistic values. The broad-range analysis revealed that the mean duration of the latent period is the most influential parameter of the model, whereas the sharka-specific analysis uncovered the strong impact of the connectivity of the first infected orchard. In addition to demonstrating the interest of sensitivity analyses for a stochastic model, this study highlights the impact of variation ranges of target parameters on the outcome of a sensitivity analysis. With regard to sharka management, our results suggest that sharka surveillance may benefit from paying closer attention to highly connected patches whose infection could trigger serious epidemics.

  10. The Role of Analytical Frameworks for Systemic Research Design, Explained in the Analysis of Drivers and Dynamics of Historic Land-Use Changes

    Directory of Open Access Journals (Sweden)

    Claudia Coral

    2017-02-01

    Full Text Available Analytical frameworks provide the basic vocabulary of concepts and terms that may be used to construct the kinds of causal explanations expected of a theory. In addition, framework-based approaches are applied as a way of dealing with the complexity that arises in situations involving human interactions with the environment. This paper presents an example of an application of the “Analytical Framework for a Systemic Analysis of Drivers and Dynamics of Historical Land-Use Changes” with the purpose of showing the role of the selected analytical framework in the design of systemic research, namely as it is conceived and as it develops over time. This analytical framework helps to organize research by linking the theoretical questions to the empirical analysis, while serving as a platform for the construction of theoretical explanations, which represent the flow of knowledge in various contexts and conditions. In the context of systems research, the combination of an analytical framework with grounded theory approaches may allow researchers to achieve both creative thinking and novel outcomes, without losing a certain degree of coherence. We also hope to understand the real motives behind decision-making and dynamics of space and time in order to support the design of policies that take into account local differences.

  11. Sustainable Development in China’s Coastal Area: Based on the Driver-Pressure-State-Welfare-Response Framework and the Data Envelopment Analysis Model

    Directory of Open Access Journals (Sweden)

    Song Wang

    2016-09-01

    Full Text Available The economic development of China’s coastal areas is being constrained by resources and the environment, with sustainable development being the key to solving these problems. The data envelopment analysis (DEA model is widely used to assess sustainable development. However, indicators used in the DEA model are not selected in a scientific and comprehensive manner, which may lead to unrepresentative results. Here, we use the driver-pressure-state-welfare-response (DPSWR framework to select more scientific and comprehensive indicators for a more accurate analysis of efficiency in China’s coastal area. The results show that the efficiencies of most provinces and cities in China’s coastal area have a stable trend. In the time dimension, efficiency was rising before 2008, after which it decreased. In the spatial dimension, China’s coastal provinces and cities are divided into three categories: high efficiency, low efficiency, and greater changes in efficiency. By combining DPSWR and DEA, we produce reliable values for measuring efficiency, with the benefit of avoiding the incomplete selection of DEA indicators.

  12. Identifying the new Influencers in the Internet Era: Social Media and Social Network Analysis

    Directory of Open Access Journals (Sweden)

    MIGUEL DEL FRESNO GARCÍA

    2016-01-01

    Full Text Available Social media influencers (SMIs can be defined as a new type of independent actor who are able to shape audience attitudes through the use of social media channels in competition and coexistence with professional media. Being able to accurately identify SMIs is critical no matter what is being transmitted in a social system. Social Network Analysis (SNA has been recognized as a powerful tool for representing social network structures and information dissemination. SMIs can be identifi ed by their high-ranking position in a network as the most important or central nodes. The results reveal the existence of three different typologies of SMIs: disseminator, engager and leader. This methodology permits the optimization of resources to create effective online communication strategies.

  13. New families of human regulatory RNA structures identified by comparative analysis of vertebrate genomes

    DEFF Research Database (Denmark)

    Parker, Brian John; Moltke, Ida; Roth, Adam

    2011-01-01

    a comparative method, EvoFam, for genome-wide identification of families of regulatory RNA structures, based on primary sequence and secondary structure similarity. We apply EvoFam to a 41-way genomic vertebrate alignment. Genome-wide, we identify 220 human, high-confidence families outside protein...... identify tens of new families supported by strong evolutionary evidence and other statistical evidence, such as GO term enrichments. For some of these, detailed analysis has led to the formulation of specific functional hypotheses. Examples include two hypothesized auto-regulatory feedback mechanisms: one...... involving six long hairpins in the 3'-UTR of MAT2A, a key metabolic gene that produces the primary human methyl donor S-adenosylmethionine; the other involving a tRNA-like structure in the intron of the tRNA maturation gene POP1. We experimentally validate the predicted MAT2A structures. Finally, we...

  14. Identifying patients with therapy-resistant depression by using factor analysis

    DEFF Research Database (Denmark)

    Andreasson, K; Liest, V; Lunde, M

    2010-01-01

    INTRODUCTION: Attempts to identify the factor structure in patients with treatment-resistant depression have been very limited. METHODS: Principal component analysis was performed using the baseline datasets from 3 add-on studies [2 with repetitive transcranial magnetic stimulation and one...... with transcranial pulsed electromagnetic fields (T-PEMF)], in which the relative effect as percentage of improvement during the treatment period was analysed. RESULTS: We identified 2 major factors, the first of which was a general factor. The second was a dual factor consisting of a depression subscale comprising...... the negatively loaded items (covering the pure depression items) and a treatment resistant subscale comprising the positively loaded items (covering lassitude, concentration difficulties and sleep problems). These 2 dual subscales were used as outcome measures. Improvement on the treatment resistant subscale...

  15. A cross-study gene set enrichment analysis identifies critical pathways in endometriosis

    Directory of Open Access Journals (Sweden)

    Bai Chunyan

    2009-09-01

    Full Text Available Abstract Background Endometriosis is an enigmatic disease. Gene expression profiling of endometriosis has been used in several studies, but few studies went further to classify subtypes of endometriosis based on expression patterns and to identify possible pathways involved in endometriosis. Some of the observed pathways are more inconsistent between the studies, and these candidate pathways presumably only represent a fraction of the pathways involved in endometriosis. Methods We applied a standardised microarray preprocessing and gene set enrichment analysis to six independent studies, and demonstrated increased concordance between these gene datasets. Results We find 16 up-regulated and 19 down-regulated pathways common in ovarian endometriosis data sets, 22 up-regulated and one down-regulated pathway common in peritoneal endometriosis data sets. Among them, 12 up-regulated and 1 down-regulated were found consistent between ovarian and peritoneal endometriosis. The main canonical pathways identified are related to immunological and inflammatory disease. Early secretory phase has the most over-represented pathways in the three uterine cycle phases. There are no overlapping significant pathways between the dataset from human endometrial endothelial cells and the datasets from ovarian endometriosis which used whole tissues. Conclusion The study of complex diseases through pathway analysis is able to highlight genes weakly connected to the phenotype which may be difficult to detect by using classical univariate statistics. By standardised microarray preprocessing and GSEA, we have increased the concordance in identifying many biological mechanisms involved in endometriosis. The identified gene pathways will shed light on the understanding of endometriosis and promote the development of novel therapies.

  16. Gene-network analysis identifies susceptibility genes related to glycobiology in autism.

    Directory of Open Access Journals (Sweden)

    Bert van der Zwaag

    Full Text Available The recent identification of copy-number variation in the human genome has opened up new avenues for the discovery of positional candidate genes underlying complex genetic disorders, especially in the field of psychiatric disease. One major challenge that remains is pinpointing the susceptibility genes in the multitude of disease-associated loci. This challenge may be tackled by reconstruction of functional gene-networks from the genes residing in these loci. We applied this approach to autism spectrum disorder (ASD, and identified the copy-number changes in the DNA of 105 ASD patients and 267 healthy individuals with Illumina Humanhap300 Beadchips. Subsequently, we used a human reconstructed gene-network, Prioritizer, to rank candidate genes in the segmental gains and losses in our autism cohort. This analysis highlighted several candidate genes already known to be mutated in cognitive and neuropsychiatric disorders, including RAI1, BRD1, and LARGE. In addition, the LARGE gene was part of a sub-network of seven genes functioning in glycobiology, present in seven copy-number changes specifically identified in autism patients with limited co-morbidity. Three of these seven copy-number changes were de novo in the patients. In autism patients with a complex phenotype and healthy controls no such sub-network was identified. An independent systematic analysis of 13 published autism susceptibility loci supports the involvement of genes related to glycobiology as we also identified the same or similar genes from those loci. Our findings suggest that the occurrence of genomic gains and losses of genes associated with glycobiology are important contributors to the development of ASD.

  17. Systematic enrichment analysis of gene expression profiling studies identifies consensus pathways implicated in colorectal cancer development

    Directory of Open Access Journals (Sweden)

    Jesús Lascorz

    2011-01-01

    Full Text Available Background: A large number of gene expression profiling (GEP studies on colorectal carcinogenesis have been performed but no reliable gene signature has been identified so far due to the lack of reproducibility in the reported genes. There is growing evidence that functionally related genes, rather than individual genes, contribute to the etiology of complex traits. We used, as a novel approach, pathway enrichment tools to define functionally related genes that are consistently up- or down-regulated in colorectal carcinogenesis. Materials and Methods: We started the analysis with 242 unique annotated genes that had been reported by any of three recent meta-analyses covering GEP studies on genes differentially expressed in carcinoma vs normal mucosa. Most of these genes (218, 91.9% had been reported in at least three GEP studies. These 242 genes were submitted to bioinformatic analysis using a total of nine tools to detect enrichment of Gene Ontology (GO categories or Kyoto Encyclopedia of Genes and Genomes (KEGG pathways. As a final consistency criterion the pathway categories had to be enriched by several tools to be taken into consideration. Results: Our pathway-based enrichment analysis identified the categories of ribosomal protein constituents, extracellular matrix receptor interaction, carbonic anhydrase isozymes, and a general category related to inflammation and cellular response as significantly and consistently overrepresented entities. Conclusions: We triaged the genes covered by the published GEP literature on colorectal carcinogenesis and subjected them to multiple enrichment tools in order to identify the consistently enriched gene categories. These turned out to have known functional relationships to cancer development and thus deserve further investigation.

  18. A spatio-temporal analysis of climatic drivers for observed changes in Sahelian vegetation productivity 1982-2007

    DEFF Research Database (Denmark)

    Kaspersen, Per; Fensholt, Rasmus; Huber Gharib, Silvia

    2011-01-01

    Linear trend analysis and seasonal trend analysis are performed on gridded data of vegetation, rainfall, solar radiation flux, and air temperature, in order to examine the influence of the past three decades of climate variability and change on the Sahelian vegetation dynamics. Per-pixel correlat...... constraints were found to be statistically significant only for rainfall explaining only a moderate degree of observed NDVI variation, indicating that nonclimatic factors are also important for the Sahelian vegetation dynamics....

  19. Clinical and biological implications of driver mutations in myelodysplastic syndromes.

    Science.gov (United States)

    Papaemmanuil, Elli; Gerstung, Moritz; Malcovati, Luca; Tauro, Sudhir; Gundem, Gunes; Van Loo, Peter; Yoon, Chris J; Ellis, Peter; Wedge, David C; Pellagatti, Andrea; Shlien, Adam; Groves, Michael John; Forbes, Simon A; Raine, Keiran; Hinton, Jon; Mudie, Laura J; McLaren, Stuart; Hardy, Claire; Latimer, Calli; Della Porta, Matteo G; O'Meara, Sarah; Ambaglio, Ilaria; Galli, Anna; Butler, Adam P; Walldin, Gunilla; Teague, Jon W; Quek, Lynn; Sternberg, Alex; Gambacorti-Passerini, Carlo; Cross, Nicholas C P; Green, Anthony R; Boultwood, Jacqueline; Vyas, Paresh; Hellstrom-Lindberg, Eva; Bowen, David; Cazzola, Mario; Stratton, Michael R; Campbell, Peter J

    2013-11-21

    Myelodysplastic syndromes (MDS) are a heterogeneous group of chronic hematological malignancies characterized by dysplasia, ineffective hematopoiesis and a variable risk of progression to acute myeloid leukemia. Sequencing of MDS genomes has identified mutations in genes implicated in RNA splicing, DNA modification, chromatin regulation, and cell signaling. We sequenced 111 genes across 738 patients with MDS or closely related neoplasms (including chronic myelomonocytic leukemia and MDS-myeloproliferative neoplasms) to explore the role of acquired mutations in MDS biology and clinical phenotype. Seventy-eight percent of patients had 1 or more oncogenic mutations. We identify complex patterns of pairwise association between genes, indicative of epistatic interactions involving components of the spliceosome machinery and epigenetic modifiers. Coupled with inferences on subclonal mutations, these data suggest a hypothesis of genetic "predestination," in which early driver mutations, typically affecting genes involved in RNA splicing, dictate future trajectories of disease evolution with distinct clinical phenotypes. Driver mutations had equivalent prognostic significance, whether clonal or subclonal, and leukemia-free survival deteriorated steadily as numbers of driver mutations increased. Thus, analysis of oncogenic mutations in large, well-characterized cohorts of patients illustrates the interconnections between the cancer genome and disease biology, with considerable potential for clinical application.

  20. Towards a typology of business process management professionals: identifying patterns of competences through latent semantic analysis

    DEFF Research Database (Denmark)

    Müller, Oliver; Schmiedel, Theresa; Gorbacheva, Elena

    2014-01-01

    -related job advertisements in order to develop a typology of BPM professionals. This empirical analysis reveals distinct ideal types and profiles of BPM professionals on several levels of abstraction. A closer look at these ideal types and profiles confirms that BPM is a boundary-spanning field that requires...... interdisciplinary sets of competence that range from technical competences to business and systems competences. Based on the study’s findings, it is posited that individual and organisational alignment with the identified ideal types and profiles is likely to result in high employability and organisational BPM...

  1. Comparing chemical analysis with literature studies to identify micropollutants in a catchment of Copenhagen (DK)

    DEFF Research Database (Denmark)

    Lützhøft, Hans-Christian Holten; Birch, Heidi; Eriksson, Eva

    2011-01-01

    on urban surface runoff originating from a well defined catchment of Copenhagen (Denmark) with an inventory of potential pollution sources for the same catchment. The selected catchment covers an area with roads, a shopping centre, a parking lot, office buildings, a gymnasium and some restaurants....... The literature approach is limited to the range of included PSs and to how and which information is compiled, whereas the analytical chemical approach is limited to the selection of analyzed substances, sensitivity and precision. Comparing the two approaches of chemical analysis with literature study to identify...

  2. Effectiveness of marine protected areas in managing the drivers of ecosystem change: a case of Mnazi Bay Marine Park, Tanzania.

    Science.gov (United States)

    Machumu, Milali Ernest; Yakupitiyage, Amararatne

    2013-04-01

    Marine protected areas (MPAs) are being promoted in Tanzania to mitigate the drivers of ecosystem change such as overfishing and other anthropogenic impacts on marine resources. The effectiveness of MPAs in managing those drivers was assessed in three ecological zones, seafront, mangrove, and riverine of Mnazi Bay Marine Park, using Participatory Community Analysis techniques, questionnaire survey, checklist and fishery resource assessment methods. Eleven major drivers of ecosystem change were identified. Resource dependence had a major effect in all ecological zones of the park. The results indicated that the park's legislations/regulations, management procedures, and conservation efforts are reasonably effective in managing its resources. The positive signs accrued from conservation efforts have been realized by the communities in terms of increased catch/income, awareness and compliance. However, some natural and anthropogenic drivers continued to threaten the park's sustainability. Furthermore, implementation of resource use and benefit sharing mechanisms still remained a considerable challenge to be addressed.

  3. Driving Rehabilitation Programs for Older Drivers in the United States

    OpenAIRE

    Betz, Marian E.; Dickerson, Anne; Coolman, Tyler; Davis, Elin Schold; Jones, Jacqueline; Schwartz, Robert

    2014-01-01

    The objective of this study was to describe the services, referral and reporting practices, and barriers to utilization of driver rehabilitation programs (DRPs) for older drivers. Identified through two national association databases, 204 driver rehabilitation programs completed an online survey. DRP availability varies, with a median of one program per 64,151 older adults (range: 1,006–676,981). The median cost for a complete evaluation was $400; 36% of DRPs reported no third-party reimburse...

  4. A hybrid life cycle and multi-criteria decision analysis approach for identifying sustainable development strategies of Beijing's taxi fleet

    International Nuclear Information System (INIS)

    Cai, Yanpeng; Applegate, Scott; Yue, Wencong; Cai, Jianying; Wang, Xuan; Liu, Gengyuan; Li, Chunhui

    2017-01-01

    To identify and evaluate sustainable strategies of taxi fleet in Beijing in terms of economic, policy, and environmental implications, a hybrid approach was developed through incorporating multi-criteria decision analysis (MCDA) methods within a general life-cycle analysis (LCA) framework. The approach can (a) help comprehensive evaluate environmental impacts of multiple types of vehicles, (b) facilitate analysis of environmental, economic and policy features of such vehicles, and (c) identify desirable taxi fleet development strategies for the city. The developed approach represented an improvement of the decision-making capability for taxi implementation based on multiple available technologies and their performance that can be specifically tailored to Beijing. The results demonstrated that the proposed approach could comprehensively reflect multiple implications of strategies for the taxi fleet in Beijing to reduce air pollution in the city. The results also indicated that the electric vehicle powered with the year 2020 electricity projections would be the ideal solution, outranking the other alternatives. The conventional vehicle ranked the lowest among the alternatives. The plug-in hybrid vehicle powered by 2020 electricity projects ranked the third, followed by the plug-in hybrid vehicle ranking the fourth, and the hybrid vehicle ranking the fifth. - Highlights: • An hybrid approach was proposed for evaluating sustainable strategies of Beijing's taxi fleet. • This approach was based on the combination of multi-criteria decision analysis methods and life-cycle assessment. • Environmental, economic and policy performances of multiple strategies were compared. • Detailed responses of taxi drivers and local residents were interviewed. • The electric vehicle would be the ideal solution for Beijing Taxi fleet.

  5. Study on driver model for hybrid truck based on driving simulator experimental results

    Directory of Open Access Journals (Sweden)

    Dam Hoang Phuc

    2018-04-01

    Full Text Available In this paper, a proposed car-following driver model taking into account some features of both the compensatory and anticipatory model representing the human pedal operation has been verified by driving simulator experiments with several real drivers. The comparison between computer simulations performed by determined model parameters with the experimental results confirm the correctness of this mathematical driver model and identified model parameters. Then the driver model is joined to a hybrid vehicle dynamics model and the moderate car following maneuver simulations with various driver parameters are conducted to investigate influences of driver parameters on vehicle dynamics response and fuel economy. Finally, major driver parameters involved in the longitudinal control of drivers are clarified. Keywords: Driver model, Driver-vehicle closed-loop system, Car Following, Driving simulator/hybrid electric vehicle (B1

  6. Towards a typology of business process management professionals: identifying patterns of competences through latent semantic analysis

    Science.gov (United States)

    Müller, Oliver; Schmiedel, Theresa; Gorbacheva, Elena; vom Brocke, Jan

    2016-01-01

    While researchers have analysed the organisational competences that are required for successful Business Process Management (BPM) initiatives, individual BPM competences have not yet been studied in detail. In this study, latent semantic analysis is used to examine a collection of 1507 BPM-related job advertisements in order to develop a typology of BPM professionals. This empirical analysis reveals distinct ideal types and profiles of BPM professionals on several levels of abstraction. A closer look at these ideal types and profiles confirms that BPM is a boundary-spanning field that requires interdisciplinary sets of competence that range from technical competences to business and systems competences. Based on the study's findings, it is posited that individual and organisational alignment with the identified ideal types and profiles is likely to result in high employability and organisational BPM success.

  7. Independent component analysis of high-resolution imaging data identifies distinct functional domains

    DEFF Research Database (Denmark)

    Reidl, Juergen; Starke, Jens; Omer, David

    2007-01-01

    . Here we demonstrate that principal component analysis (PCA) followed by spatial independent component analysis (sICA), can be exploited to reduce the dimensionality of data sets recorded in the olfactory bulb and the somatosensory cortex of mice as well as the visual cortex of monkeys, without loosing...... latencies can be identified. This is shown for recordings of olfactory receptor neuron input measured with a calcium sensitive axon tracer and for network dynamics measured with the voltage sensitive dye RH 1838. In the somatosensory cortex, barrels responding to the stimulation of single whiskers can...... be automatically detected. In the visual cortex orientation columns can be extracted. In all cases artifacts due to movement, heartbeat or respiration were separated from the functional signal by sICA and could be removed from the data set. sICA is therefore a powerful technique for data compression, unbiased...

  8. Polygenic analysis of genome-wide SNP data identifies common variants on allergic rhinitis

    DEFF Research Database (Denmark)

    Mohammadnejad, Afsaneh; Brasch-Andersen, Charlotte; Haagerup, Annette

    Background: Allergic Rhinitis (AR) is a complex disorder that affects many people around the world. There is a high genetic contribution to the development of the AR, as twins and family studies have estimated heritability of more than 33%. Due to the complex nature of the disease, single SNP...... analysis has limited power in identifying the genetic variations for AR. We combined genome-wide association analysis (GWAS) with polygenic risk score (PRS) in exploring the genetic basis underlying the disease. Methods: We collected clinical data on 631 Danish subjects with AR cases consisting of 434...... sibling pairs and unrelated individuals and control subjects of 197 unrelated individuals. SNP genotyping was done by Affymetrix Genome-Wide Human SNP Array 5.0. SNP imputation was performed using "IMPUTE2". Using additive effect model, GWAS was conducted in discovery sample, the genotypes...

  9. Whole Genome Analysis of Injectional Anthrax Identifies Two Disease Clusters Spanning More Than 13 Years

    Directory of Open Access Journals (Sweden)

    Paul Keim

    2015-11-01

    Lay Person Interpretation: Injectional anthrax has been plaguing heroin drug users across Europe for more than 10 years. In order to better understand this outbreak, we assessed genomic relationships of all available injectional anthrax strains from four countries spanning a >12 year period. Very few differences were identified using genome-based analysis, but these differentiated the isolates into two distinct clusters. This strongly supports a hypothesis of at least two separate anthrax spore contamination events perhaps during the drug production processes. Identification of two events would not have been possible from standard epidemiological analysis. These comprehensive data will be invaluable for classifying future injectional anthrax isolates and for future geographic attribution.

  10. Identifying changes in the support networks of end-of-life carers using social network analysis.

    Science.gov (United States)

    Leonard, Rosemary; Horsfall, Debbie; Noonan, Kerrie

    2015-06-01

    End-of-life caring is often associated with reduced social networks for both the dying person and for the carer. However, those adopting a community participation and development approach, see the potential for the expansion and strengthening of networks. This paper uses Knox, Savage and Harvey's definitions of three generations social network analysis to analyse the caring networks of people with a terminal illness who are being cared for at home and identifies changes in these caring networks that occurred over the period of caring. Participatory network mapping of initial and current networks was used in nine focus groups. The analysis used key concepts from social network analysis (size, density, transitivity, betweenness and local clustering) together with qualitative analyses of the group's reflections on the maps. The results showed an increase in the size of the networks and that ties between the original members of the network strengthened. The qualitative data revealed the importance between core and peripheral network members and the diverse contributions of the network members. The research supports the value of third generation social network analysis and the potential for end-of-life caring to build social capital. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

  11. Distinct Phenotypes of Smokers with Fixed Airflow Limitation Identified by Cluster Analysis of Severe Asthma.

    Science.gov (United States)

    Konno, Satoshi; Taniguchi, Natsuko; Makita, Hironi; Nakamaru, Yuji; Shimizu, Kaoruko; Shijubo, Noriharu; Fuke, Satoshi; Takeyabu, Kimihiro; Oguri, Mitsuru; Kimura, Hirokazu; Maeda, Yukiko; Suzuki, Masaru; Nagai, Katsura; Ito, Yoichi M; Wenzel, Sally E; Nishimura, Masaharu

    2018-01-01

    Smoking may have multifactorial effects on asthma phenotypes, particularly in severe asthma. Cluster analysis has been applied to explore novel phenotypes, which are not based on any a priori hypotheses. To explore novel severe asthma phenotypes by cluster analysis when including smoking patients with asthma. We recruited a total of 127 subjects with severe asthma, including 59 current or ex-smokers, from our university hospital and its 29 affiliated hospitals/pulmonary clinics. Clinical variables obtained during a 2-day hospital stay were used for cluster analysis. After clustering using clinical variables, the sputum levels of 14 molecules were measured to biologically characterize the clinical clusters. Five clinical clusters, including two characterized by low forced expiratory volume in 1 second/forced vital capacity, were identified. When characteristics of smoking subjects in these two clusters were compared, there were marked differences between the two groups: one had high levels of circulating eosinophils, high immunoglobulin E levels, and a high sinus score, and the other was characterized by low levels of the same parameters. Sputum analysis revealed intriguing differences of cytokine/chemokine pattern in these two groups. The other three clusters were similar to those previously reported: young onset/atopic, nonsmoker/less eosinophilic, and female/obese. Key clinical variables were confirmed to be stable and consistent 3 years later. This study reveals two distinct phenotypes with potentially different biological pathways contributing to fixed airflow limitation in cigarette smokers with severe asthma.

  12. Application of cluster analysis to geochemical compositional data for identifying ore-related geochemical anomalies

    Science.gov (United States)

    Zhou, Shuguang; Zhou, Kefa; Wang, Jinlin; Yang, Genfang; Wang, Shanshan

    2017-12-01

    Cluster analysis is a well-known technique that is used to analyze various types of data. In this study, cluster analysis is applied to geochemical data that describe 1444 stream sediment samples collected in northwestern Xinjiang with a sample spacing of approximately 2 km. Three algorithms (the hierarchical, k-means, and fuzzy c-means algorithms) and six data transformation methods (the z-score standardization, ZST; the logarithmic transformation, LT; the additive log-ratio transformation, ALT; the centered log-ratio transformation, CLT; the isometric log-ratio transformation, ILT; and no transformation, NT) are compared in terms of their effects on the cluster analysis of the geochemical compositional data. The study shows that, on the one hand, the ZST does not affect the results of column- or variable-based (R-type) cluster analysis, whereas the other methods, including the LT, the ALT, and the CLT, have substantial effects on the results. On the other hand, the results of the row- or observation-based (Q-type) cluster analysis obtained from the geochemical data after applying NT and the ZST are relatively poor. However, we derive some improved results from the geochemical data after applying the CLT, the ILT, the LT, and the ALT. Moreover, the k-means and fuzzy c-means clustering algorithms are more reliable than the hierarchical algorithm when they are used to cluster the geochemical data. We apply cluster analysis to the geochemical data to explore for Au deposits within the study area, and we obtain a good correlation between the results retrieved by combining the CLT or the ILT with the k-means or fuzzy c-means algorithms and the potential zones of Au mineralization. Therefore, we suggest that the combination of the CLT or the ILT with the k-means or fuzzy c-means algorithms is an effective tool to identify potential zones of mineralization from geochemical data.

  13. Identifying Talent in Youth Sport: A Novel Methodology Using Higher-Dimensional Analysis.

    Directory of Open Access Journals (Sweden)

    Kevin Till

    Full Text Available Prediction of adult performance from early age talent identification in sport remains difficult. Talent identification research has generally been performed using univariate analysis, which ignores multivariate relationships. To address this issue, this study used a novel higher-dimensional model to orthogonalize multivariate anthropometric and fitness data from junior rugby league players, with the aim of differentiating future career attainment. Anthropometric and fitness data from 257 Under-15 rugby league players was collected. Players were grouped retrospectively according to their future career attainment (i.e., amateur, academy, professional. Players were blindly and randomly divided into an exploratory (n = 165 and validation dataset (n = 92. The exploratory dataset was used to develop and optimize a novel higher-dimensional model, which combined singular value decomposition (SVD with receiver operating characteristic analysis. Once optimized, the model was tested using the validation dataset. SVD analysis revealed 60 m sprint and agility 505 performance were the most influential characteristics in distinguishing future professional players from amateur and academy players. The exploratory dataset model was able to distinguish between future amateur and professional players with a high degree of accuracy (sensitivity = 85.7%, specificity = 71.1%; p<0.001, although it could not distinguish between future professional and academy players. The validation dataset model was able to distinguish future professionals from the rest with reasonable accuracy (sensitivity = 83.3%, specificity = 63.8%; p = 0.003. Through the use of SVD analysis it was possible to objectively identify criteria to distinguish future career attainment with a sensitivity over 80% using anthropometric and fitness data alone. As such, this suggests that SVD analysis may be a useful analysis tool for research and practice within talent identification.

  14. Drivers of sustainable future mobility

    DEFF Research Database (Denmark)

    Sigurdardottir, Sigrun Birna

    by bicycle were related to positive cycling experience, willingness to accept car restrictions, negative attitudes towards cars, and bicycle-oriented future vision, but are negatively related to car ownership norms. Attitudinal constructs are related to individual characteristics, such as gender, residential...... the semantic content of the data, to create a data driven conceptual model. Three segments of pre-drivers were identified: car enthusiasts, who would like to be early car users, car pragmatists, who would like to have the license at an early stage and a car at a later stage, and car sceptics, who are late...

  15. Single Molecule Cluster Analysis Identifies Signature Dynamic Conformations along the Splicing Pathway

    Science.gov (United States)

    Blanco, Mario R.; Martin, Joshua S.; Kahlscheuer, Matthew L.; Krishnan, Ramya; Abelson, John; Laederach, Alain; Walter, Nils G.

    2016-01-01

    The spliceosome is the dynamic RNA-protein machine responsible for faithfully splicing introns from precursor messenger RNAs (pre-mRNAs). Many of the dynamic processes required for the proper assembly, catalytic activation, and disassembly of the spliceosome as it acts on its pre-mRNA substrate remain poorly understood, a challenge that persists for many biomolecular machines. Here, we developed a fluorescence-based Single Molecule Cluster Analysis (SiMCAn) tool to dissect the manifold conformational dynamics of a pre-mRNA through the splicing cycle. By clustering common dynamic behaviors derived from selectively blocked splicing reactions, SiMCAn was able to identify signature conformations and dynamic behaviors of multiple ATP-dependent intermediates. In addition, it identified a conformation adopted late in splicing by a 3′ splice site mutant, invoking a mechanism for substrate proofreading. SiMCAn presents a novel framework for interpreting complex single molecule behaviors that should prove widely useful for the comprehensive analysis of a plethora of dynamic cellular machines. PMID:26414013

  16. Integrating text mining, data mining, and network analysis for identifying genetic breast cancer trends.

    Science.gov (United States)

    Jurca, Gabriela; Addam, Omar; Aksac, Alper; Gao, Shang; Özyer, Tansel; Demetrick, Douglas; Alhajj, Reda

    2016-04-26

    Breast cancer is a serious disease which affects many women and may lead to death. It has received considerable attention from the research community. Thus, biomedical researchers aim to find genetic biomarkers indicative of the disease. Novel biomarkers can be elucidated from the existing literature. However, the vast amount of scientific publications on breast cancer make this a daunting task. This paper presents a framework which investigates existing literature data for informative discoveries. It integrates text mining and social network analysis in order to identify new potential biomarkers for breast cancer. We utilized PubMed for the testing. We investigated gene-gene interactions, as well as novel interactions such as gene-year, gene-country, and abstract-country to find out how the discoveries varied over time and how overlapping/diverse are the discoveries and the interest of various research groups in different countries. Interesting trends have been identified and discussed, e.g., different genes are highlighted in relationship to different countries though the various genes were found to share functionality. Some text analysis based results have been validated against results from other tools that predict gene-gene relations and gene functions.

  17. Mini-DIAL system measurements coupled with multivariate data analysis to identify TIC and TIM simulants: preliminary absorption database analysis.

    Science.gov (United States)

    Gaudio, P.; Malizia, A.; Gelfusa, M.; Martinelli, E.; Di Natale, C.; Poggi, L. A.; Bellecci, C.

    2017-01-01

    Nowadays Toxic Industrial Components (TICs) and Toxic Industrial Materials (TIMs) are one of the most dangerous and diffuse vehicle of contamination in urban and industrial areas. The academic world together with the industrial and military one are working on innovative solutions to monitor the diffusion in atmosphere of such pollutants. In this phase the most common commercial sensors are based on “point detection” technology but it is clear that such instruments cannot satisfy the needs of the smart cities. The new challenge is developing stand-off systems to continuously monitor the atmosphere. Quantum Electronics and Plasma Physics (QEP) research group has a long experience in laser system development and has built two demonstrators based on DIAL (Differential Absorption of Light) technology could be able to identify chemical agents in atmosphere. In this work the authors will present one of those DIAL system, the miniaturized one, together with the preliminary results of an experimental campaign conducted on TICs and TIMs simulants in cell with aim of use the absorption database for the further atmospheric an analysis using the same DIAL system. The experimental results are analysed with standard multivariate data analysis technique as Principal Component Analysis (PCA) to develop a classification model aimed at identifying organic chemical compound in atmosphere. The preliminary results of absorption coefficients of some chemical compound are shown together pre PCA analysis.

  18. Mini-DIAL system measurements coupled with multivariate data analysis to identify TIC and TIM simulants: preliminary absorption database analysis

    International Nuclear Information System (INIS)

    Gaudio, P; Malizia, A; Gelfusa, M; Poggi, L.A.; Martinelli, E.; Di Natale, C.; Bellecci, C.

    2017-01-01

    Nowadays Toxic Industrial Components (TICs) and Toxic Industrial Materials (TIMs) are one of the most dangerous and diffuse vehicle of contamination in urban and industrial areas. The academic world together with the industrial and military one are working on innovative solutions to monitor the diffusion in atmosphere of such pollutants. In this phase the most common commercial sensors are based on “point detection” technology but it is clear that such instruments cannot satisfy the needs of the smart cities. The new challenge is developing stand-off systems to continuously monitor the atmosphere. Quantum Electronics and Plasma Physics (QEP) research group has a long experience in laser system development and has built two demonstrators based on DIAL (Differential Absorption of Light) technology could be able to identify chemical agents in atmosphere. In this work the authors will present one of those DIAL system, the miniaturized one, together with the preliminary results of an experimental campaign conducted on TICs and TIMs simulants in cell with aim of use the absorption database for the further atmospheric an analysis using the same DIAL system. The experimental results are analysed with standard multivariate data analysis technique as Principal Component Analysis (PCA) to develop a classification model aimed at identifying organic chemical compound in atmosphere. The preliminary results of absorption coefficients of some chemical compound are shown together pre PCA analysis. (paper)

  19. A new approach to hazardous materials transportation risk analysis: decision modeling to identify critical variables.

    Science.gov (United States)

    Clark, Renee M; Besterfield-Sacre, Mary E

    2009-03-01

    We take a novel approach to analyzing hazardous materials transportation risk in this research. Previous studies analyzed this risk from an operations research (OR) or quantitative risk assessment (QRA) perspective by minimizing or calculating risk along a transport route. Further, even though the majority of incidents occur when containers are unloaded, the research has not focused on transportation-related activities, including container loading and unloading. In this work, we developed a decision model of a hazardous materials release during unloading using actual data and an exploratory data modeling approach. Previous studies have had a theoretical perspective in terms of identifying and advancing the key variables related to this risk, and there has not been a focus on probability and statistics-based approaches for doing this. Our decision model empirically identifies the critical variables using an exploratory methodology for a large, highly categorical database involving latent class analysis (LCA), loglinear modeling, and Bayesian networking. Our model identified the most influential variables and countermeasures for two consequences of a hazmat incident, dollar loss and release quantity, and is one of the first models to do this. The most influential variables were found to be related to the failure of the container. In addition to analyzing hazmat risk, our methodology can be used to develop data-driven models for strategic decision making in other domains involving risk.

  20. Comparative Transcriptome Analysis Identifies Putative Genes Involved in the Biosynthesis of Xanthanolides in Xanthium strumarium L.

    Directory of Open Access Journals (Sweden)

    Yuanjun Li

    2016-08-01

    Full Text Available Xanthium strumarium L. is a traditional Chinese herb belonging to the Asteraceae family. The major bioactive components of this plant are sesquiterpene lactones, which include the xanthanolides. To date, the biogenesis of xanthanolides, especiallytheir downstream pathway, remains largely unknown. In X. strumarium, xanthanolides primarily accumulate in its glandular trichomes. To identify putative gene candidates involved in the biosynthesis of xanthanolides, three X. strumarium transcriptomes, which were derived from the young leaves of two different cultivars and the purified glandular trichomes from one of the cultivars, were constructed in this study. In total, 157 million clean reads were generated and assembled into 91,861 unigenes, of which 59,858 unigenes were successfully annotated. All the genes coding for known enzymes in the upstream pathway to the biosynthesis of xanthanolides were present in the X. strumarium transcriptomes. From a comparative analysis of the X. strumarium transcriptomes, this study identified a number of gene candidates that are putatively involved in the downstream pathway to the synthesis of xanthanolides, such as four unigenes encoding CYP71 P450s, 50 unigenes for dehydrogenases, and 27 genes for acetyltransferases. The possible functions of these four CYP71 candidates are extensively discussed. In addition, 116 transcription factors that were highly expressed in X. strumarium glandular trichomes were also identified. Their possible regulatory roles in the biosynthesis of sesquiterpene lactones are discussed. The global transcriptomic data for X. strumarium should provide a valuable resource for further research into the biosynthesis of xanthanolides.

  1. Analysis combining correlated glaucoma traits identifies five new risk loci for open-angle glaucoma.

    Science.gov (United States)

    Gharahkhani, Puya; Burdon, Kathryn P; Cooke Bailey, Jessica N; Hewitt, Alex W; Law, Matthew H; Pasquale, Louis R; Kang, Jae H; Haines, Jonathan L; Souzeau, Emmanuelle; Zhou, Tiger; Siggs, Owen M; Landers, John; Awadalla, Mona; Sharma, Shiwani; Mills, Richard A; Ridge, Bronwyn; Lynn, David; Casson, Robert; Graham, Stuart L; Goldberg, Ivan; White, Andrew; Healey, Paul R; Grigg, John; Lawlor, Mitchell; Mitchell, Paul; Ruddle, Jonathan; Coote, Michael; Walland, Mark; Best, Stephen; Vincent, Andrea; Gale, Jesse; RadfordSmith, Graham; Whiteman, David C; Montgomery, Grant W; Martin, Nicholas G; Mackey, David A; Wiggs, Janey L; MacGregor, Stuart; Craig, Jamie E

    2018-02-15

    Open-angle glaucoma (OAG) is a major cause of blindness worldwide. To identify new risk loci for OAG, we performed a genome-wide association study in 3,071 OAG cases and 6,750 unscreened controls, and meta-analysed the results with GWAS data for intraocular pressure (IOP) and optic disc parameters (the overall meta-analysis sample size varying between 32,000 to 48,000 participants), which are glaucoma-related traits. We identified and independently validated four novel genome-wide significant associations within or near MYOF and CYP26A1, LINC02052 and CRYGS, LMX1B, and LMO7 using single variant tests, one additional locus (C9) using gene-based tests, and two genetic pathways - "response to fluid shear stress" and "abnormal retina morphology" - in pathway-based tests. Interestingly, some of the new risk loci contribute to risk of other genetically-correlated eye diseases including myopia and age-related macular degeneration. To our knowledge, this study is the first integrative study to combine genetic data from OAG and its correlated traits to identify new risk variants and genetic pathways, highlighting the future potential of combining genetic data from genetically-correlated eye traits for the purpose of gene discovery and mapping.

  2. Latent class analysis identifies distinct phenotypes of primary graft dysfunction after lung transplantation.

    Science.gov (United States)

    Shah, Rupal J; Diamond, Joshua M; Cantu, Edward; Lee, James C; Lederer, David J; Lama, Vibha N; Orens, Jonathan; Weinacker, Ann; Wilkes, David S; Bhorade, Sangeeta; Wille, Keith M; Ware, Lorraine B; Palmer, Scott M; Crespo, Maria; Localio, A Russell; Demissie, Ejigayehu; Kawut, Steven M; Bellamy, Scarlett L; Christie, Jason D

    2013-08-01

    There is significant heterogeneity within the primary graft dysfunction (PGD) syndrome. We aimed to identify distinct grade 3 PGD phenotypes based on severity of lung dysfunction and patterns of resolution. Subjects from the Lung Transplant Outcomes Group (LTOG) cohort study with grade 3 PGD within 72 h after transplantation were included. Latent class analysis (LCA) was used to statistically identify classes based on changes in PGD International Society for Heart & Lung Transplantation grade over time. Construct validity of the classes was assessed by testing for divergence of recipient, donor, and operative characteristics between classes. Predictive validity was assessed using time to death. Of 1,255 subjects, 361 had grade 3 PGD within the first 72 h after transplantation. LCA identified three distinct phenotypes: (1) severe persistent dysfunction (class 1), (2) complete resolution of dysfunction within 72 h (class 2), and (3) attenuation, without complete resolution within 72 h (class 3). Increased use of cardiopulmonary bypass, greater RBC transfusion, and higher mean pulmonary artery pressure were associated with persistent PGD (class 1). Subjects in class 1 also had the greatest risk of death (hazard ratio, 2.39; 95% CI, 1.57-3.63; P < .001). There are distinct phenotypes of resolution of dysfunction within the severe PGD syndrome. Subjects with early resolution may represent a different mechanism of lung pathology, such as resolving pulmonary edema, whereas those with persistent PGD may represent a more severe phenotype. Future studies aimed at PGD mechanism or treatment may focus on phenotypes based on resolution of graft dysfunction.

  3. Clustering analysis of water distribution systems: identifying critical components and community impacts.

    Science.gov (United States)

    Diao, K; Farmani, R; Fu, G; Astaraie-Imani, M; Ward, S; Butler, D

    2014-01-01

    Large water distribution systems (WDSs) are networks with both topological and behavioural complexity. Thereby, it is usually difficult to identify the key features of the properties of the system, and subsequently all the critical components within the system for a given purpose of design or control. One way is, however, to more explicitly visualize the network structure and interactions between components by dividing a WDS into a number of clusters (subsystems). Accordingly, this paper introduces a clustering strategy that decomposes WDSs into clusters with stronger internal connections than external connections. The detected cluster layout is very similar to the community structure of the served urban area. As WDSs may expand along with urban development in a community-by-community manner, the correspondingly formed distribution clusters may reveal some crucial configurations of WDSs. For verification, the method is applied to identify all the critical links during firefighting for the vulnerability analysis of a real-world WDS. Moreover, both the most critical pipes and clusters are addressed, given the consequences of pipe failure. Compared with the enumeration method, the method used in this study identifies the same group of the most critical components, and provides similar criticality prioritizations of them in a more computationally efficient time.

  4. Identifying the oil price-macroeconomy relationship. An empirical mode decomposition analysis of US data

    International Nuclear Information System (INIS)

    Oladosu, Gbadebo

    2009-01-01

    This paper employs the empirical mode decomposition (EMD) method to filter cyclical components of US quarterly gross domestic product (GDP) and quarterly average oil price (West Texas Intermediate - WTI). The method is adaptive and applicable to non-linear and non-stationary data. A correlation analysis of the resulting components is performed and examined for insights into the relationship between oil and the economy. Several components of this relationship are identified. However, the principal one is that the medium-run component of the oil price has a negative relationship with the main cyclical component of the GDP. In addition, weak correlations suggesting a lagging, demand-driven component and a long-run component of the relationship were also identified. Comparisons of these findings with significant oil supply disruption and recession dates were supportive. The study identifies a number of lessons applicable to recent oil market events, including the eventuality of persistent oil price and economic decline following a long oil price run-up. In addition, it was found that oil market related exogenous events are associated with short- to medium-run price implications regardless of whether they lead to actual supply losses. (author)

  5. Genome-wide association scan meta-analysis identifies three Loci influencing adiposity and fat distribution.

    Directory of Open Access Journals (Sweden)

    Cecilia M Lindgren

    2009-06-01

    Full Text Available To identify genetic loci influencing central obesity and fat distribution, we performed a meta-analysis of 16 genome-wide association studies (GWAS, N = 38,580 informative for adult waist circumference (WC and waist-hip ratio (WHR. We selected 26 SNPs for follow-up, for which the evidence of association with measures of central adiposity (WC and/or WHR was strong and disproportionate to that for overall adiposity or height. Follow-up studies in a maximum of 70,689 individuals identified two loci strongly associated with measures of central adiposity; these map near TFAP2B (WC, P = 1.9x10(-11 and MSRA (WC, P = 8.9x10(-9. A third locus, near LYPLAL1, was associated with WHR in women only (P = 2.6x10(-8. The variants near TFAP2B appear to influence central adiposity through an effect on overall obesity/fat-mass, whereas LYPLAL1 displays a strong female-only association with fat distribution. By focusing on anthropometric measures of central obesity and fat distribution, we have identified three loci implicated in the regulation of human adiposity.

  6. Genome-Wide Association Scan Meta-Analysis Identifies Three Loci Influencing Adiposity and Fat Distribution

    Science.gov (United States)

    Qi, Lu; Speliotes, Elizabeth K.; Thorleifsson, Gudmar; Willer, Cristen J.; Herrera, Blanca M.; Jackson, Anne U.; Lim, Noha; Scheet, Paul; Soranzo, Nicole; Amin, Najaf; Aulchenko, Yurii S.; Chambers, John C.; Drong, Alexander; Luan, Jian'an; Lyon, Helen N.; Rivadeneira, Fernando; Sanna, Serena; Timpson, Nicholas J.; Zillikens, M. Carola; Zhao, Jing Hua; Almgren, Peter; Bandinelli, Stefania; Bennett, Amanda J.; Bergman, Richard N.; Bonnycastle, Lori L.; Bumpstead, Suzannah J.; Chanock, Stephen J.; Cherkas, Lynn; Chines, Peter; Coin, Lachlan; Cooper, Cyrus; Crawford, Gabriel; Doering, Angela; Dominiczak, Anna; Doney, Alex S. F.; Ebrahim, Shah; Elliott, Paul; Erdos, Michael R.; Estrada, Karol; Ferrucci, Luigi; Fischer, Guido; Forouhi, Nita G.; Gieger, Christian; Grallert, Harald; Groves, Christopher J.; Grundy, Scott; Guiducci, Candace; Hadley, David; Hamsten, Anders; Havulinna, Aki S.; Hofman, Albert; Holle, Rolf; Holloway, John W.; Illig, Thomas; Isomaa, Bo; Jacobs, Leonie C.; Jameson, Karen; Jousilahti, Pekka; Karpe, Fredrik; Kuusisto, Johanna; Laitinen, Jaana; Lathrop, G. Mark; Lawlor, Debbie A.; Mangino, Massimo; McArdle, Wendy L.; Meitinger, Thomas; Morken, Mario A.; Morris, Andrew P.; Munroe, Patricia; Narisu, Narisu; Nordström, Anna; Nordström, Peter; Oostra, Ben A.; Palmer, Colin N. A.; Payne, Felicity; Peden, John F.; Prokopenko, Inga; Renström, Frida; Ruokonen, Aimo; Salomaa, Veikko; Sandhu, Manjinder S.; Scott, Laura J.; Scuteri, Angelo; Silander, Kaisa; Song, Kijoung; Yuan, Xin; Stringham, Heather M.; Swift, Amy J.; Tuomi, Tiinamaija; Uda, Manuela; Vollenweider, Peter; Waeber, Gerard; Wallace, Chris; Walters, G. Bragi; Weedon, Michael N.; Witteman, Jacqueline C. M.; Zhang, Cuilin; Zhang, Weihua; Caulfield, Mark J.; Collins, Francis S.; Davey Smith, George; Day, Ian N. M.; Franks, Paul W.; Hattersley, Andrew T.; Hu, Frank B.; Jarvelin, Marjo-Riitta; Kong, Augustine; Kooner, Jaspal S.; Laakso, Markku; Lakatta, Edward; Mooser, Vincent; Morris, Andrew D.; Peltonen, Leena; Samani, Nilesh J.; Spector, Timothy D.; Strachan, David P.; Tanaka, Toshiko; Tuomilehto, Jaakko; Uitterlinden, André G.; van Duijn, Cornelia M.; Wareham, Nicholas J.; Watkins for the PROCARDIS consortia, Hugh; Waterworth, Dawn M.; Boehnke, Michael; Deloukas, Panos; Groop, Leif; Hunter, David J.; Thorsteinsdottir, Unnur; Schlessinger, David; Wichmann, H.-Erich; Frayling, Timothy M.; Abecasis, Gonçalo R.; Hirschhorn, Joel N.; Loos, Ruth J. F.; Stefansson, Kari; Mohlke, Karen L.; Barroso, Inês; McCarthy for the GIANT consortium, Mark I.

    2009-01-01

    To identify genetic loci influencing central obesity and fat distribution, we performed a meta-analysis of 16 genome-wide association studies (GWAS, N = 38,580) informative for adult waist circumference (WC) and waist–hip ratio (WHR). We selected 26 SNPs for follow-up, for which the evidence of association with measures of central adiposity (WC and/or WHR) was strong and disproportionate to that for overall adiposity or height. Follow-up studies in a maximum of 70,689 individuals identified two loci strongly associated with measures of central adiposity; these map near TFAP2B (WC, P = 1.9×10−11) and MSRA (WC, P = 8.9×10−9). A third locus, near LYPLAL1, was associated with WHR in women only (P = 2.6×10−8). The variants near TFAP2B appear to influence central adiposity through an effect on overall obesity/fat-mass, whereas LYPLAL1 displays a strong female-only association with fat distribution. By focusing on anthropometric measures of central obesity and fat distribution, we have identified three loci implicated in the regulation of human adiposity. PMID:19557161

  7. Meta-analysis of field scale spatial variability of grassland soil CO2 efflux: Interaction of biotic and abiotic drivers

    Czech Academy of Sciences Publication Activity Database

    Fóti, S.; Balogh, J.; Herbst, M.; Papp, M.; Koncz, P.; Bartha, S.; Zimmermann, Z.; Komoly, C.; Szabó, G.; Margóczi, G.; Acosta, Manuel; Nagy, Z.

    2016-01-01

    Roč. 143, aug (2016), s. 78-89 ISSN 0341-8162 R&D Projects: GA MŠk(CZ) LO1415 Institutional support: RVO:67179843 Keywords : Cross-variogram * Principal component analysis * Soil CO2 efflux * Spatial pattern * Variogram Subject RIV: EH - Ecology, Behaviour Impact factor: 3.191, year: 2016

  8. Root Source Analysis/ValuStream[Trade Mark] - A Methodology for Identifying and Managing Risks

    Science.gov (United States)

    Brown, Richard Lee

    2008-01-01

    Root Source Analysis (RoSA) is a systems engineering methodology that has been developed at NASA over the past five years. It is designed to reduce costs, schedule, and technical risks by systematically examining critical assumptions and the state of the knowledge needed to bring to fruition the products that satisfy mission-driven requirements, as defined for each element of the Work (or Product) Breakdown Structure (WBS or PBS). This methodology is sometimes referred to as the ValuStream method, as inherent in the process is the linking and prioritizing of uncertainties arising from knowledge shortfalls directly to the customer's mission driven requirements. RoSA and ValuStream are synonymous terms. RoSA is not simply an alternate or improved method for identifying risks. It represents a paradigm shift. The emphasis is placed on identifying very specific knowledge shortfalls and assumptions that are the root sources of the risk (the why), rather than on assessing the WBS product(s) themselves (the what). In so doing RoSA looks forward to anticipate, identify, and prioritize knowledge shortfalls and assumptions that are likely to create significant uncertainties/ risks (as compared to Root Cause Analysis, which is most often used to look back to discover what was not known, or was assumed, that caused the failure). Experience indicates that RoSA, with its primary focus on assumptions and the state of the underlying knowledge needed to define, design, build, verify, and operate the products, can identify critical risks that historically have been missed by the usual approaches (i.e., design review process and classical risk identification methods). Further, the methodology answers four critical questions for decision makers and risk managers: 1. What s been included? 2. What's been left out? 3. How has it been validated? 4. Has the real source of the uncertainty/ risk been identified, i.e., is the perceived problem the real problem? Users of the RoSA methodology

  9. Truck Drivers And Risk Of STDs Including HIV

    Directory of Open Access Journals (Sweden)

    Bansal R.K

    1995-01-01

    Full Text Available Research Question: Whether long distance truck drivers are at a higher risk of contracting and transmitting STDs including HIV? Objectives: i To study the degree of knowledge of HIV and AIDS among long- distance truck drivers. ii Assess their sexual behaviour including condom use. iii Explore their prevailing social influences and substance abuse patterns. iv Explore their treatment seeking bahaviour as regards STDs. v Deduce their risk of contracting and transmitting STDs including HIV. Study Design: Cross- sectional interview. Setting: Transport Nagar, Indore (M.P Participants: 210 senior drivers (First drivers and 210 junior drivers (Second drivers. Study Variables: Extra-Marital sexual intercourse, condom usage, past and present history of STDs, treatment and counseling, substance abuse, social â€" cultural milieu. Outcome Variables: Risk of contraction of STDs. Statistical Analysis: Univariate analysis. Results: 94% of the drivers were totally ignorant about AIDS. 82.9% and 43.8 % of the senior and junior drivers had a history of extra- marital sex and of these only 2 regularly used condoms. 13.8% and 3.3 % of the senior and junior drivers had a past or present history suggestive of STD infection. Alcohol and Opium were regularly used by them. Conclusion: The studied drivers are at a high risk of contracting and transmitting STDs including HIV.

  10. Using EMMA and MIX analysis to assess mixing ratios and to identify hydrochemical reactions in groundwater.

    Science.gov (United States)

    Tubau, Isabel; Vàzquez-Suñé, Enric; Jurado, Anna; Carrera, Jesús

    2014-02-01

    This study presents a methodology using an end-member mixing analysis (EMMA) and MIX to compute mixing ratios and to identify hydrochemical reactions in groundwater. The methodology consists of (1) identifying the potential sources of recharge, (2) characterising recharge sources and mixed water samples using hydrogeochemistry, (3) selecting chemical species to be used in the analysis and (4) calculating mixing ratios and identification of hydrochemical reactions in groundwater. This approach has been applied in the Besòs River Delta area, where we have collected 51 groundwater samples and a long data register of the hydrogeochemistry of the Besòs River created by the Catalan Water Agency is also available. The EMMA performed in the Besòs River suggests that 3 end-members are required to explain its temporal variability, accounting for the species chloride, sulphate, sodium, bicarbonate, calcium, magnesium, potassium, ammonium, total nitrogen, and electrical conductivity. One river end-member is from the wet periods (W1), and two are from dry periods (D1 and D2). These end-members have been used to compute mixing ratios in groundwater samples because the Besòs River is considered the main recharge source for the aquifer. Overall, dry season end-members dominated over the wet season end-member, in a proportion of 4:1. Moreover, when departures from the mixing line exist, geochemical processes might be identified. Redox processes, carbonate dissolution/precipitation and ion exchange processes may occur in Besòs Delta aquifer. Copyright © 2013 Elsevier B.V. All rights reserved.

  11. Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes

    Directory of Open Access Journals (Sweden)

    Aitken Stuart

    2005-06-01

    Full Text Available Abstract Background In the clinical context, samples assayed by microarray are often classified by cell line or tumour type and it is of interest to discover a set of genes that can be used as class predictors. The leukemia dataset of Golub et al. 1 and the NCI60 dataset of Ross et al. 2 present multiclass classification problems where three tumour types and nine cell lines respectively must be identified. We apply an evolutionary algorithm to identify the near-optimal set of predictive genes that classify the data. We also examine the initial gene selection step whereby the most informative genes are selected from the genes assayed. Results In the absence of feature selection, classification accuracy on the training data is typically good, but not replicated on the testing data. Gene selection using the RankGene software 3 is shown to significantly improve performance on the testing data. Further, we show that the choice of feature selection criteria can have a significant effect on accuracy. The evolutionary algorithm is shown to perform stably across the space of possible parameter settings – indicating the robustness of the approach. We assess performance using a low variance estimation technique, and present an analysis of the genes most often selected as predictors. Conclusion The computational methods we have developed perform robustly and accurately, and yield results in accord with clinical knowledge: A Z-score analysis of the genes most frequently selected identifies genes known to discriminate AML and Pre-T ALL leukemia. This study also confirms that significantly different sets of genes are found to be most discriminatory as the sample classes are refined.

  12. Extracting Fitness Relationships and Oncogenic Patterns among Driver Genes in Cancer.

    Science.gov (United States)

    Zhang, Xindong; Gao, Lin; Jia, Songwei

    2017-12-25

    Driver mutation provides fitness advantage to cancer cells, the accumulation of which increases the fitness of cancer cells and accelerates cancer progression. This work seeks to extract patterns accumulated by driver genes ("fitness relationships") in tumorigenesis. We introduce a network-based method for extracting the fitness relationships of driver genes by modeling the network properties of the "fitness" of cancer cells. Colon adenocarcinoma (COAD) and skin cutaneous malignant melanoma (SKCM) are employed as case studies. Consistent results derived from different background networks suggest the reliability of the identified fitness relationships. Additionally co-occurrence analysis and pathway analysis reveal the functional significance of the fitness relationships with signaling transduction. In addition, a subset of driver genes called the "fitness core" is recognized for each case. Further analyses indicate the functional importance of the fitness core in carcinogenesis, and provide potential therapeutic opportunities in medicinal intervention. Fitness relationships characterize the functional continuity among driver genes in carcinogenesis, and suggest new insights in understanding the oncogenic mechanisms of cancers, as well as providing guiding information for medicinal intervention.

  13. Final Report on the Fuel Saving Effectiveness of Various Driver Feedback Approaches

    Energy Technology Data Exchange (ETDEWEB)

    Gonder, J.; Earleywine, M.; Sparks, W.

    2011-03-01

    This final report quantifies the fuel-savings opportunities from specific driving behavior changes, identifies factors that influence drivers' receptiveness to adopting fuel-saving behaviors, and assesses various driver feedback approaches.

  14. Medical review practices for driver licensing volume 3: guidelines and processes in the United States.

    Science.gov (United States)

    2017-04-01

    This is the third of three reports examining driver medical review practices in the United States and how : they fulfill the basic functions of identifying, assessing, and rendering licensing decisions on medically or : functionally at-risk drivers. ...

  15. Depressive subtypes in an elderly cohort identified using latent class analysis.

    Science.gov (United States)

    Veltman, E M; Lamers, F; Comijs, H C; de Waal, M W M; Stek, M L; van der Mast, R C; Rhebergen, D

    2017-08-15

    Clinical findings indicate heterogeneity of depressive disorders, stressing the importance of subtyping depression for research and clinical care. Subtypes of the common late life depression are however seldom studied. Data-driven methods may help provide a more empirically-based classification of late-life depression. Data were used from the Netherlands Study of Depression in Older People (NESDO) derived from 359 persons, aged 60 years or older, with a current diagnosis of major depressive disorder. Latent class analysis (LCA) was used to identify subtypes of depression, using ten CIDI-based depression items. Classes were then characterized using various sociodemographic and clinical characteristics. The most prevalent class, as identified by LCA, was a moderate-severe class (prevalence 46.5%), followed by a severe melancholic class (prevalence 38.4%), and a severe atypical class (prevalence 15.0%). The strongest distinguishing features between the three classes were appetite and weight and, to a lesser extent, psychomotor symptoms and loss of interest. Compared with the melancholic class, the severe atypical class had the highest prevalence of females, the lowest mean age, the highest BMI, and highest prevalence of both cardiovascular disease, and metabolic syndrome. The strongest distinguishing symptoms, appetite and weight, could be correlated. Further, only longitudinal studies could demonstrate whether the identified classes are stable on the long term. In older persons with depressive disorders, three distinct subtypes were identified, similar to subtypes found in younger adults. The strongest distinguishing features were appetite and weight; moreover, classes differed strongly on prevalence of metabolic syndrome and cardiovascular disease. These findings suggest differences in the involvement of metabolic pathways across classes, which should be considered when investigating the pathogenesis and (eventually) treatment of depression in older persons

  16. Identifying Factors That Predict Worse Constipation Symptoms in Palliative Care Patients: A Secondary Analysis.

    Science.gov (United States)

    Clark, Katherine; Lam, Lawrence T; Talley, Nicholas J; Phillips, Jane L; Currow, David C

    2017-05-01

    The aim of this work was to investigate whether variables identified as likely to impact the experience of constipation in other clinical settings similarly affected the experiences of constipated palliative care patients. The majority of palliative care patients with cancer are likely to be bothered by constipation symptoms at some point in their disease trajectory. Despite this, it remains unclear as to which factors predict more severe problems. This study was conducted in a sample of 94 constipated palliative care patients who were asked to voluntarily complete a series of questions regarding their demographic and other characteristics, including whether they had chronic constipation symptoms, that is, constipation symptoms for 12 months. Other variables included age, body mass index, sex, performance status, and regular opioids and their doses. At the same time, they were asked to complete the Patient Assessment of Constipation Symptoms (PAC-SYM) and Patient Assessment of Constipation Quality of Life (PAC-QOL) questionnaires. Descriptive statistics summarized baseline data. Unadjusted associations between the selected variables on PAC-SYM were examined by using bi-variate analyses. Significant variables identified on bi-variate analyses were included in a multivariate analysis. The final results identified that only the chronicity of constipation symptoms predicted more severe symptoms. This relationship persisted when this single variable was retained in the final model, illustrating that PAC-SYM scores are 0.41 higher in patients with chronic constipation compared with those without it (p = 0.02). In contrast, regular opioid use was not identified as a significant factor (p = 0.56). This study suggests that the factor most likely to predict worse constipation symptoms was the duration that people had experienced problems. Further, those who perceived their constipation symptoms to be more severe had a poorer quality of life. More work is required to

  17. Genome-wide pathway analysis identifies VEGF pathway association with oral ulceration in systemic lupus erythematosus.

    Science.gov (United States)

    Aterido, Adrià; Julià, Antonio; Carreira, Patricia; Blanco, Ricardo; López-Longo, José Javier; Venegas, José Javier Pérez; Olivé, Àlex; Andreu, José Luís; Aguirre-Zamorano, Maria Ángeles; Vela, Paloma; Nolla, Joan M; Marenco-de la Fuente, José Luís; Zea, Antonio; Pego, José María; Freire, Mercedes; Díez, Elvira; López-Lasanta, María; López-Corbeto, Mireia; Palau, Núria; Tortosa, Raül; Gelpí, Josep Lluís; Absher, Devin; Myers, Richard M; Fernández-Nebro, Antonio; Marsal, Sara

    2017-06-15

    Systemic lupus erythematosus (SLE) is a genetically complex rheumatic disease characterized by heterogeneous clinical manifestations of unknown etiology. Recent studies have suggested the existence of a genetic basis for SLE heterogeneity. The objective of the present study was to identify new genetic variation associated with the clinically relevant phenotypes in SLE. A two-stage pathway-based approach was used to identify the genetic variation associated with the main clinical phenotypes in SLE. In the discovery stage, 482 SLE patients were genotyped using Illumina Human Quad610 microarrays. Association between 798 reference genetic pathways from the Molecular Signatures Database and 11 SLE phenotypes was tested using the set-based method implemented in PLINK software. Pathways significantly associated after multiple test correction were subsequently tested for replication in an independent cohort of 425 SLE patients. Using an in silico approach, we analyzed the functional effects of common SLE therapies on the replicated genetic pathways. The association of known SLE risk variants with the development of the clinical phenotypes was also analyzed. In the discovery stage, we found a significant association between the vascular endothelial growth factor (VEGF) pathway and oral ulceration (P value for false discovery rate (P FDR ) oral ulceration. Therapies commonly used to treat mucocutaneous phenotypes in SLE were found to strongly influence VEGF pathway gene expression (P = 4.60e-4 to 5.38e-14). Analysis of known SLE risk loci identified a strong association between PTPN22 and the risk of hematologic disorder and with the development of antinuclear antibodies. The present study has identified VEGF genetic pathway association with the risk of oral ulceration in SLE. New therapies targeting the VEGF pathway could be more effective in reducing the severity of this phenotype. These findings represent a first step towards the understanding of the genetic basis

  18. Transcriptomic analysis using olive varieties and breeding progenies identify candidate genes involved in plant architecture

    Directory of Open Access Journals (Sweden)

    Juan José eGonzález Plaza

    2016-03-01

    Full Text Available Plant architecture is a critical trait in fruit crops that can significantly influence yield, pruning, planting density and harvesting. Little is known about how plant architecture is genetically determined in olive, were most of the existing varieties are traditional with an architecture poorly suited for modern growing and harvesting systems. In the present study, we have carried out microarray analysis of meristematic tissue to compare expression profiles of olive varieties displaying differences in architecture, as well as seedlings from their cross pooled on the basis of their sharing architecture-related phenotypes. The microarray used, previously developed by our group has already been applied to identify candidates genes involved in regulating juvenile to adult transition in the shoot apex of seedlings. Varieties with distinct architecture phenotypes and individuals from segregating progenies displaying opposite architecture features were used to link phenotype to expression. Here, we identify 2,252 differentially expressed genes associated to differences in plant architecture. Microarray results were validated by quantitative RT-PCR carried out on genes with functional annotation likely related to plant architecture. Twelve of these genes were further analyzed in individual seedlings of the corresponding pool. We also examined Arabidopsis mutants in putative orthologs of these targeted candidate genes, finding altered architecture for most of them. This supports a functional conservation between species and potential biological relevance of the candidate genes identified. This study is the first to identify genes associated to plant architecture in olive, and the results obtained could be of great help in future programs aimed at selecting phenotypes adapted to modern cultivation practices in this species.

  19. Transcriptomic Analysis Using Olive Varieties and Breeding Progenies Identifies Candidate Genes Involved in Plant Architecture.

    Science.gov (United States)

    González-Plaza, Juan J; Ortiz-Martín, Inmaculada; Muñoz-Mérida, Antonio; García-López, Carmen; Sánchez-Sevilla, José F; Luque, Francisco; Trelles, Oswaldo; Bejarano, Eduardo R; De La Rosa, Raúl; Valpuesta, Victoriano; Beuzón, Carmen R

    2016-01-01

    Plant architecture is a critical trait in fruit crops that can significantly influence yield, pruning, planting density and harvesting. Little is known about how plant architecture is genetically determined in olive, were most of the existing varieties are traditional with an architecture poorly suited for modern growing and harvesting systems. In the present study, we have carried out microarray analysis of meristematic tissue to compare expression profiles of olive varieties displaying differences in architecture, as well as seedlings from their cross pooled on the basis of their sharing architecture-related phenotypes. The microarray used, previously developed by our group has already been applied to identify candidates genes involved in regulating juvenile to adult transition in the shoot apex of seedlings. Varieties with distinct architecture phenotypes and individuals from segregating progenies displaying opposite architecture features were used to link phenotype to expression. Here, we identify 2252 differentially expressed genes (DEGs) associated to differences in plant architecture. Microarray results were validated by quantitative RT-PCR carried out on genes with functional annotation likely related to plant architecture. Twelve of these genes were further analyzed in individual seedlings of the corresponding pool. We also examined Arabidopsis mutants in putative orthologs of these targeted candidate genes, finding altered architecture for most of them. This supports a functional conservation between species and potential biological relevance of the candidate genes identified. This study is the first to identify genes associated to plant architecture in olive, and the results obtained could be of great help in future programs aimed at selecting phenotypes adapted to modern cultivation practices in this species.

  20. Integrated analysis of multiple microarray datasets identifies a reproducible survival predictor in ovarian cancer.

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    Panagiotis A Konstantinopoulos

    Full Text Available BACKGROUND: Public data integration may help overcome challenges in clinical implementation of microarray profiles. We integrated several ovarian cancer datasets to identify a reproducible predictor of survival. METHODOLOGY/PRINCIPAL FINDINGS: Four microarray datasets from different institutions comprising 265 advanced stage tumors were uniformly reprocessed into a single training dataset, also adjusting for inter-laboratory variation ("batch-effect". Supervised principal component survival analysis was employed to identify prognostic models. Models were independently validated in a 61-patient cohort using a custom array genechip and a publicly available 229-array dataset. Molecular correspondence of high- and low-risk outcome groups between training and validation datasets was demonstrated using Subclass Mapping. Previously established molecular phenotypes in the 2(nd validation set were correlated with high and low-risk outcome groups. Functional representational and pathway analysis was used to explore gene networks associated with high and low risk phenotypes. A 19-gene model showed optimal performance in the training set (median OS 31 and 78 months, p < 0.01, 1(st validation set (median OS 32 months versus not-yet-reached, p = 0.026 and 2(nd validation set (median OS 43 versus 61 months, p = 0.013 maintaining independent prognostic power in multivariate analysis. There was strong molecular correspondence of the respective high- and low-risk tumors between training and 1(st validation set. Low and high-risk tumors were enriched for favorable and unfavorable molecular subtypes and pathways, previously defined in the public 2(nd validation set. CONCLUSIONS/SIGNIFICANCE: Integration of previously generated cancer microarray datasets may lead to robust and widely applicable survival predictors. These predictors are not simply a compilation of prognostic genes but appear to track true molecular phenotypes of good- and poor-outcome.

  1. Utilizing a Photo-Analysis Software for Content Identifying Method (CIM

    Directory of Open Access Journals (Sweden)

    Nejad Nasim Sahraei

    2015-01-01

    Full Text Available Content Identifying Methodology or (CIM was developed to measure public preferences in order to reveal the common characteristics of landscapes and aspects of underlying perceptions including the individual's reactions to content and spatial configuration, therefore, it can assist with the identification of factors that influenced preference. Regarding the analysis of landscape photographs through CIM, there are several studies utilizing image analysis software, such as Adobe Photoshop, in order to identify the physical contents in the scenes. This study attempts to evaluate public’s ‘preferences for aesthetic qualities of pedestrian bridges in urban areas through a photo-questionnaire survey, in which respondents evaluated images of pedestrian bridges in urban areas. Two groups of images were evaluated as the most and least preferred scenes that concern the highest and lowest mean scores respectively. These two groups were analyzed by CIM and also evaluated based on the respondent’s description of each group to reveal the pattern of preferences and the factors that may affect them. Digimizer Software was employed to triangulate the two approaches and to determine the role of these factors on people’s preferences. This study attempts to introduce the useful software for image analysis which can measure the physical contents and also their spatial organization in the scenes. According to the findings, it is revealed that Digimizer could be a useful tool in CIM approaches through preference studies that utilizes photographs in place of the actual landscape in order to determine the most important factors in public preferences for pedestrian bridges in urban areas.

  2. Evolution of a Pathogen: A Comparative Genomics Analysis Identifies a Genetic Pathway to Pathogenesis in Acinetobacter

    Science.gov (United States)

    Sahl, Jason W.; Gillece, John D.; Schupp, James M.; Waddell, Victor G.; Driebe, Elizabeth M.; Engelthaler, David M.; Keim, Paul

    2013-01-01

    Acinetobacter baumannii is an emergent and global nosocomial pathogen. In addition to A. baumannii, other Acinetobacter species, especially those in the Acinetobacter calcoaceticus-baumannii (Acb) complex, have also been associated with serious human infection. Although mechanisms of attachment, persistence on abiotic surfaces, and pathogenesis in A. baumannii have been identified, the genetic mechanisms that explain the emergence of A. baumannii as the most widespread and virulent Acinetobacter species are not fully understood. Recent whole genome sequencing has provided insight into the phylogenetic structure of the genus Acinetobacter. However, a global comparison of genomic features between Acinetobacter spp. has not been described in the literature. In this study, 136 Acinetobacter genomes, including 67 sequenced in this study, were compared to identify the acquisition and loss of genes in the expansion of the Acinetobacter genus. A whole genome phylogeny confirmed that A. baumannii is a monophyletic clade and that the larger Acb complex is also a well-supported monophyletic group. The whole genome phylogeny provided the framework for a global genomic comparison based on a blast score ratio (BSR) analysis. The BSR analysis demonstrated that specific genes have been both lost and acquired in the evolution of A. baumannii. In addition, several genes associated with A. baumannii pathogenesis were found to be more conserved in the Acb complex, and especially in A. baumannii, than in other Acinetobacter genomes; until recently, a global analysis of the distribution and conservation of virulence factors across the genus was not possible. The results demonstrate that the acquisition of specific virulence factors has likely contributed to the widespread persistence and virulence of A. baumannii. The identification of novel features associated with transcriptional regulation and acquired by clades in the Acb complex presents targets for better understanding the

  3. Cross-study analysis of gene expression data for intermediate neuroblastoma identifies two biological subtypes

    International Nuclear Information System (INIS)

    Warnat, Patrick; Oberthuer, André; Fischer, Matthias; Westermann, Frank; Eils, Roland; Brors, Benedikt

    2007-01-01

    Neuroblastoma patients show heterogeneous clinical courses ranging from life-threatening progression to spontaneous regression. Recently, gene expression profiles of neuroblastoma tumours were associated with clinically different phenotypes. However, such data is still rare for important patient subgroups, such as patients with MYCN non-amplified advanced stage disease. Prediction of the individual course of disease and optimal therapy selection in this cohort is challenging. Additional research effort is needed to describe the patterns of gene expression in this cohort and to identify reliable prognostic markers for this subset of patients. We combined gene expression data from two studies in a meta-analysis in order to investigate differences in gene expression of advanced stage (3 or 4) tumours without MYCN amplification that show contrasting outcomes (alive or dead) at five years after initial diagnosis. In addition, a predictive model for outcome was generated. Gene expression profiles from 66 patients were included from two studies using different microarray platforms. In the combined data set, 72 genes were identified as differentially expressed by meta-analysis at a false discovery rate (FDR) of 8.33%. Meta-analysis detected 34 differentially expressed genes that were not found as significant in either single study. Outcome prediction based on data of both studies resulted in a predictive accuracy of 77%. Moreover, the genes that were differentially expressed in subgroups of advanced stage patients without MYCN amplification accurately separated MYCN amplified tumours from low stage tumours without MYCN amplification. Our findings support the hypothesis that neuroblastoma consists of two biologically distinct subgroups that differ by characteristic gene expression patterns, which are associated with divergent clinical outcome

  4. Evolution of a pathogen: a comparative genomics analysis identifies a genetic pathway to pathogenesis in Acinetobacter.

    Directory of Open Access Journals (Sweden)

    Jason W Sahl

    Full Text Available Acinetobacter baumannii is an emergent and global nosocomial pathogen. In addition to A. baumannii, other Acinetobacter species, especially those in the Acinetobacter calcoaceticus-baumannii (Acb complex, have also been associated with serious human infection. Although mechanisms of attachment, persistence on abiotic surfaces, and pathogenesis in A. baumannii have been identified, the genetic mechanisms that explain the emergence of A. baumannii as the most widespread and virulent Acinetobacter species are not fully understood. Recent whole genome sequencing has provided insight into the phylogenetic structure of the genus Acinetobacter. However, a global comparison of genomic features between Acinetobacter spp. has not been described in the literature. In this study, 136 Acinetobacter genomes, including 67 sequenced in this study, were compared to identify the acquisition and loss of genes in the expansion of the Acinetobacter genus. A whole genome phylogeny confirmed that A. baumannii is a monophyletic clade and that the larger Acb complex is also a well-supported monophyletic group. The whole genome phylogeny provided the framework for a global genomic comparison based on a blast score ratio (BSR analysis. The BSR analysis demonstrated that specific genes have been both lost and acquired in the evolution of A. baumannii. In addition, several genes associated with A. baumannii pathogenesis were found to be more conserved in the Acb complex, and especially in A. baumannii, than in other Acinetobacter genomes; until recently, a global analysis of the distribution and conservation of virulence factors across the genus was not possible. The results demonstrate that the acquisition of specific virulence factors has likely contributed to the widespread persistence and virulence of A. baumannii. The identification of novel features associated with transcriptional regulation and acquired by clades in the Acb complex presents targets for better

  5. Factors affecting the perception of whole-body vibration of occupational drivers: an analysis of posture and manual materials handling and musculoskeletal disorders.

    Science.gov (United States)

    Raffler, Nastaran; Ellegast, Rolf; Kraus, Thomas; Ochsmann, Elke

    2016-01-01

    Due to the high cost of conducting field measurements, questionnaires are usually preferred for the assessment of physical workloads and musculoskeletal disorders (MSDs). This study compares the physical workloads of whole-body vibration (WBV) and awkward postures by direct field measurements and self-reported data of 45 occupational drivers. Manual materials handling (MMH) and MSDs were also investigated to analyse their effect on drivers' perception. Although the measured values for WBV exposure were very similarly distributed among the drivers, the subjects' perception differed significantly. Concerning posture, subjects seemed to estimate much better when the difference in exposure was significantly large. The percentage of measured awkward trunk and head inclination were significantly higher for WBV-overestimating subjects than non-overestimators; 77 and 80% vs. 36 and 33%. Health complaints in terms of thoracic spine, cervical spine and shoulder-arm were also significantly more reported by WBV-overestimating subjects (42, 67, 50% vs. 0, 25, 13%, respectively). Although more MMH was reported by WBV-overestimating subjects, there was no statistical significance in this study. Self-reported exposures of occupational drivers are affected by many other cofactors, and this can result in misinterpretations. A comparison between field measurement and questionnaire was used to highlight the factors affecting the perception of drivers for whole-body vibration (WBV) exposure. Posture and musculoskeletal disorders influenced the perception of the similarly WBV-exposed drivers significantly.

  6. Genome-Wide Analysis Identifies MEN1 and MAX Mutations and a Neuroendocrine-Like Molecular Heterogeneity in Quadruple WT GIST.

    Science.gov (United States)

    Pantaleo, Maria A; Urbini, Milena; Indio, Valentina; Ravegnini, Gloria; Nannini, Margherita; De Luca, Matilde; Tarantino, Giuseppe; Angelini, Sabrina; Gronchi, Alessandro; Vincenzi, Bruno; Grignani, Giovanni; Colombo, Chiara; Fumagalli, Elena; Gatto, Lidia; Saponara, Maristella; Ianni, Manuela; Paterini, Paola; Santini, Donatella; Pirini, M Giulia; Ceccarelli, Claudio; Altimari, Annalisa; Gruppioni, Elisa; Renne, Salvatore L; Collini, Paola; Stacchiotti, Silvia; Brandi, Giovanni; Casali, Paolo G; Pinna, Antonio D; Astolfi, Annalisa; Biasco, Guido

    2017-05-01

    Quadruple wild-type (WT) gastrointestinal stromal tumor (GIST) is a genomic subgroup lacking KIT/PDGFRA/RAS pathway mutations, with an intact succinate dehydrogenase (SDH) complex. The aim of this work is to perform a wide comprehensive genomic study on quadruple WT GIST to improve the characterization of these patients. We selected 14 clinical cases of quadruple WT GIST, of which nine cases showed sufficient DNA quality for whole exome sequencing (WES). NF1 alterations were identified directly by WES. Gene expression from whole transcriptome sequencing (WTS) and miRNA profiling were performed using fresh-frozen, quadruple WT GIST tissue specimens and compared with SDH and KIT/PDGFRA-mutant GIST. WES identified an average of 18 somatic mutations per sample. The most relevant somatic oncogenic mutations identified were in TP53, MEN1, MAX, FGF1R, CHD4, and CTDNN2. No somatic alterations in NF1 were identified in the analyzed cohort. A total of 247 mRNA transcripts and 66 miRNAs were differentially expressed specifically in quadruple WT GIST. Overexpression of specific molecular markers (COL22A1 and CALCRL) and genes involved in neural and neuroendocrine lineage (ASCL1, Family B GPCRs) were detected and further supported by predicted miRNA target analysis. Quadruple WT GIST show a specific genetic signature that deviates significantly from that of KIT/PDGFRA-mutant and SDH-mutant GIST. Mutations in MEN1 and MAX genes, a neural-committed phenotype and upregulation of the master neuroendocrine regulator ASCL1, support a genetic similarity with neuroendocrine tumors, with whom they also share the great variability in oncogenic driver genes. Implications: This study provides novel insights into the biology of quadruple WT GIST that potentially resembles neuroendocrine tumors and should promote the development of specific therapeutic approaches. Mol Cancer Res; 15(5); 553-62. ©2017 AACR . ©2017 American Association for Cancer Research.

  7. Dipeptide frequency/bias analysis identifies conserved sites of nonrandomness shared by cysteine-rich motifs.

    Science.gov (United States)

    Campion, S R; Ameen, A S; Lai, L; King, J M; Munzenmaier, T N

    2001-08-15

    This report describes the application of a simple computational tool, AAPAIR.TAB, for the systematic analysis of the cysteine-rich EGF, Sushi, and Laminin motif/sequence families at the two-amino acid level. Automated dipeptide frequency/bias analysis detects preferences in the distribution of amino acids in established protein families, by determining which "ordered dipeptides" occur most frequently in comprehensive motif-specific sequence data sets. Graphic display of the dipeptide frequency/bias data revealed family-specific preferences for certain dipeptides, but more importantly detected a shared preference for employment of the ordered dipeptides Gly-Tyr (GY) and Gly-Phe (GF) in all three protein families. The dipeptide Asn-Gly (NG) also exhibited high-frequency and bias in the EGF and Sushi motif families, whereas Asn-Thr (NT) was distinguished in the Laminin family. Evaluation of the distribution of dipeptides identified by frequency/bias analysis subsequently revealed the highly restricted localization of the G(F/Y) and N(G/T) sequence elements at two separate sites of extreme conservation in the consensus sequence of all three sequence families. The similar employment of the high-frequency/bias dipeptides in three distinct protein sequence families was further correlated with the concurrence of these shared molecular determinants at similar positions within the distinctive scaffolds of three structurally divergent, but similarly employed, motif modules.

  8. Dynamics and causalities of atmospheric and oceanic data identified by complex networks and Granger causality analysis

    Science.gov (United States)

    Charakopoulos, A. K.; Katsouli, G. A.; Karakasidis, T. E.

    2018-04-01

    Understanding the underlying processes and extracting detailed characteristics of spatiotemporal dynamics of ocean and atmosphere as well as their interaction is of significant interest and has not been well thoroughly established. The purpose of this study was to examine the performance of two main additional methodologies for the identification of spatiotemporal underlying dynamic characteristics and patterns among atmospheric and oceanic variables from Seawatch buoys from Aegean and Ionian Sea, provided by the Hellenic Center for Marine Research (HCMR). The first approach involves the estimation of cross correlation analysis in an attempt to investigate time-lagged relationships, and further in order to identify the direction of interactions between the variables we performed the Granger causality method. According to the second approach the time series are converted into complex networks and then the main topological network properties such as degree distribution, average path length, diameter, modularity and clustering coefficient are evaluated. Our results show that the proposed analysis of complex network analysis of time series can lead to the extraction of hidden spatiotemporal characteristics. Also our findings indicate high level of positive and negative correlations and causalities among variables, both from the same buoy and also between buoys from different stations, which cannot be determined from the use of simple statistical measures.

  9. Cytokeratin Profiles Identify Diagnostic Signatures in Colorectal Cancer Using Multiplex Analysis of Tissue Microarrays

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    Thomas Knösel

    2006-01-01

    Full Text Available Background and aims: Recent cDNA expression profiling analyses indicate that within specific organ cancers Cytokeratins (CKs dysregulation may identify subgroups with distinct biological phenotypes. Our objectives in this study were (1 to test whether cytokeratins were also distinct on the protein level, (2 to evaluate these biomarkers in a series of well-characterised CRCs, (3 to apply hierarchical cluster analysis to immunohistochemical data. Methods: Tissue microarrays (TMA comprising 468 CRC specimens from 203 patients were constructed to evaluate CK5, CK7, CK8, CK13, CK14, CK16, CK17, CK18, CK19 and CK20. In total, 2919 samples were analyzed. Results: Unsupervised hierarchical clustering discovered subgroups represented by reduced CK8 and CK20 expression, that differed by a shorter patients survival. The evaluation of the specific biomarkers by Kaplan–Meier analysis showed that reduced CK8 expression (p < 0.01 was significantly associated with shorter patients’ survival, but was not an independent factor correlated with tumour stage (pT, grading (G and nodal stage (pN. Conclusions: Reduced coexpression of CK8 and CK20 may indicate an epithelial-mesenchymal transition (EMT representing an important step in the development of more aggressive CRCs. In addition, multiplex analysis of TMAs together with immunohistochemistry (IHC supplemented by hierarchical clustering are a useful, promising and very powerful tool for the identification of tumour subgroups with diagnostic and prognostic signatures.

  10. Prediction of vehicle crashes by drivers' characteristics and past traffic violations in Korea using a zero-inflated negative binomial model.

    Science.gov (United States)

    Kim, Dae-Hwan; Ramjan, Lucie M; Mak, Kwok-Kei

    2016-01-01

    Traffic safety is a significant public health challenge, and vehicle crashes account for the majority of injuries. This study aims to identify whether drivers' characteristics and past traffic violations may predict vehicle crashes in Korea. A total of 500,000 drivers were randomly selected from the 11.6 million driver records of the Ministry of Land, Transport and Maritime Affairs in Korea. Records of traffic crashes were obtained from the archives of the Korea Insurance Development Institute. After matching the past violation history for the period 2004-2005 with the number of crashes in year 2006, a total of 488,139 observations were used for the analysis. Zero-inflated negative binomial model was used to determine the incident risk ratio (IRR) of vehicle crashes by past violations of individual drivers. The included covariates were driver's age, gender, district of residence, vehicle choice, and driving experience. Drivers violating (1) a hit-and-run or drunk driving regulation at least once and (2) a signal, central line, or speed regulation more than once had a higher risk of a vehicle crash with respective IRRs of 1.06 and 1.15. Furthermore, female gender, a younger age, fewer years of driving experience, and middle-sized vehicles were all significantly associated with a higher likelihood of vehicle crashes. Drivers' demographic characteristics and past traffic violations could predict vehicle crashes in Korea. Greater resources should be assigned to the provision of traffic safety education programs for the high-risk driver groups.

  11. Transcriptome analysis of mammary epithelial subpopulations identifies novel determinants of lineage commitment and cell fate

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    Zvelebil Marketa

    2008-12-01

    Full Text Available Abstract Background Understanding the molecular control of cell lineages and fate determination in complex tissues is key to not only understanding the developmental biology and cellular homeostasis of such tissues but also for our understanding and interpretation of the molecular pathology of diseases such as cancer. The prerequisite for such an understanding is detailed knowledge of the cell types that make up such tissues, including their comprehensive molecular characterisation. In the mammary epithelium, the bulk of the tissue is composed of three cell lineages, namely the basal/myoepithelial, lum