WorldWideScience

Sample records for based energy scores

  1. Physics-based scoring of protein-ligand interactions: explicit polarizability, quantum mechanics and free energies.

    Science.gov (United States)

    Bryce, Richard A

    2011-04-01

    The ability to accurately predict the interaction of a ligand with its receptor is a key limitation in computer-aided drug design approaches such as virtual screening and de novo design. In this article, we examine current strategies for a physics-based approach to scoring of protein-ligand affinity, as well as outlining recent developments in force fields and quantum chemical techniques. We also consider advances in the development and application of simulation-based free energy methods to study protein-ligand interactions. Fuelled by recent advances in computational algorithms and hardware, there is the opportunity for increased integration of physics-based scoring approaches at earlier stages in computationally guided drug discovery. Specifically, we envisage increased use of implicit solvent models and simulation-based scoring methods as tools for computing the affinities of large virtual ligand libraries. Approaches based on end point simulations and reference potentials allow the application of more advanced potential energy functions to prediction of protein-ligand binding affinities. Comprehensive evaluation of polarizable force fields and quantum mechanical (QM)/molecular mechanical and QM methods in scoring of protein-ligand interactions is required, particularly in their ability to address challenging targets such as metalloproteins and other proteins that make highly polar interactions. Finally, we anticipate increasingly quantitative free energy perturbation and thermodynamic integration methods that are practical for optimization of hits obtained from screened ligand libraries.

  2. Building Energy Asset Score for Building Owners

    Energy Technology Data Exchange (ETDEWEB)

    Building Technologies Office

    2015-01-01

    The Building Energy Asset Score is a national standardized tool for evaluating the physical and structural energy efficiency of commercial and multifamily residential buildings. The Asset Score generates a simple energy efficiency rating that enables comparison among buildings, and identifies opportunities for users to invest in energy efficiency upgrades. It is web-based and free to use. This fact sheet discusses the value of the score for building owners.

  3. Building Energy Asset Score for Architects

    Energy Technology Data Exchange (ETDEWEB)

    Building Technologies Office

    2015-01-01

    The Building Energy Asset Score is a national standardized tool for evaluating the physical and structural energy efficiency of commercial and multifamily residential buildings. The Asset Score generates a simple energy efficiency rating that enables comparison among buildings, and identifies opportunities for users to invest in energy efficiency upgrades. It is web-based and free to use. This fact sheet discusses the value of the score for architects.

  4. Dual energy x-ray imaging and scoring of coronary calcium: physics-based digital phantom and clinical studies

    Science.gov (United States)

    Zhou, Bo; Wen, Di; Nye, Katelyn; Gilkeson, Robert C.; Wilson, David L.

    2016-03-01

    Coronary artery calcification (CAC) as assessed with CT calcium score is the best biomarker of coronary artery disease. Dual energy x-ray provides an inexpensive, low radiation-dose alternative. A two shot system (GE Revolution-XRd) is used, raw images are processed with a custom algorithm, and a coronary calcium image (DECCI) is created, similar to the bone image, but optimized for CAC visualization, not lung visualization. In this report, we developed a physicsbased, digital-phantom containing heart, lung, CAC, spine, ribs, pulmonary artery, and adipose elements, examined effects on DECCI, suggested physics-inspired algorithms to improve CAC contrast, and evaluated the correlation between CT calcium scores and a proposed DE calcium score. In simulation experiment, Beam hardening from increasing adipose thickness (2cm to 8cm) reduced Cg by 19% and 27% in 120kVp and 60kVp images, but only reduced Cg by <7% in DECCI. If a pulmonary artery moves or pulsates with blood filling between exposures, it can give rise to a significantly confounding PA signal in DECCI similar in amplitude to CAC. Observations suggest modifications to DECCI processing, which can further improve CAC contrast by a factor of 2 in clinical exams. The DE score had the best correlation with "CT mass score" among three commonly used CT scores. Results suggest that DE x-ray is a promising tool for imaging and scoring CAC, and there still remains opportunity for further DECCI processing improvements.

  5. Building Energy Asset Score for Real Estate Managers

    Energy Technology Data Exchange (ETDEWEB)

    Building Technologies Office

    2015-01-01

    The Building Energy Asset Score is a national standardized tool for evaluating the physical and structural energy efficiency of commercial and multifamily residential buildings. The Asset Score generates a simple energy efficiency rating that enables comparison among buildings, and identifies opportunities for users to invest in energy efficiency upgrades. It is web-based and free to use. This fact sheet discusses the value of the score for real estate managers.

  6. Matching score based face recognition

    NARCIS (Netherlands)

    Boom, B.J.; Beumer, G.M.; Spreeuwers, Lieuwe Jan; Veldhuis, Raymond N.J.

    2006-01-01

    Accurate face registration is of vital importance to the performance of a face recognition algorithm. We propose a new method: matching score based face registration, which searches for optimal alignment by maximizing the matching score output of a classifier as a function of the different

  7. Building Energy Asset Score for Utilities and Energy Efficiency Program Administrators

    Energy Technology Data Exchange (ETDEWEB)

    Building Technologies Office

    2015-01-01

    The Building Energy Asset Score is a national standardized tool for evaluating the physical and structural energy efficiency of commercial and multifamily residential buildings. The Asset Score generates a simple energy efficiency rating that enables comparison among buildings, and identifies opportunities for users to invest in energy efficiency upgrades. It is web-based and free to use. This fact sheet discusses the value of the score for utilities and energy efficiency program administrators.

  8. Pharmacophore-based similarity scoring for DOCK.

    Science.gov (United States)

    Jiang, Lingling; Rizzo, Robert C

    2015-01-22

    Pharmacophore modeling incorporates geometric and chemical features of known inhibitors and/or targeted binding sites to rationally identify and design new drug leads. In this study, we have encoded a three-dimensional pharmacophore matching similarity (FMS) scoring function into the structure-based design program DOCK. Validation and characterization of the method are presented through pose reproduction, crossdocking, and enrichment studies. When used alone, FMS scoring dramatically improves pose reproduction success to 93.5% (∼20% increase) and reduces sampling failures to 3.7% (∼6% drop) compared to the standard energy score (SGE) across 1043 protein-ligand complexes. The combined FMS+SGE function further improves success to 98.3%. Crossdocking experiments using FMS and FMS+SGE scoring, for six diverse protein families, similarly showed improvements in success, provided proper pharmacophore references are employed. For enrichment, incorporating pharmacophores during sampling and scoring, in most cases, also yield improved outcomes when docking and rank-ordering libraries of known actives and decoys to 15 systems. Retrospective analyses of virtual screenings to three clinical drug targets (EGFR, IGF-1R, and HIVgp41) using X-ray structures of known inhibitors as pharmacophore references are also reported, including a customized FMS scoring protocol to bias on selected regions in the reference. Overall, the results and fundamental insights gained from this study should benefit the docking community in general, particularly researchers using the new FMS method to guide computational drug discovery with DOCK.

  9. Supporting the Co-operative Organisation of Rational Energy Use (SCORE). Romania Country Document

    International Nuclear Information System (INIS)

    2000-10-01

    Energy efficiency improvements in the various end-use sectors constitute a very substantial saving potential, which presently is insufficiently addressed in Central and Eastern Europe. For that reason the SCORE concept has been initiated. SCORE stands for 'Supporting the Cooperative Organisation of Rational Energy Use'. SCORE is a Netherlands society to society programme, aiming at assisting the social transformation in the Central and Eastern European countries through projects and actions aiming at improvements in environmental protection and energy end-use sectors. SCORE is managed by the Netherlands Agency for Energy and the Environment (Novem) in partnership with local agencies in Central and Eastern Europe. The SCORE Country Document is based on: Survey on the existing policies and measures for energy efficiency, identified barriers, and the priorities for energy efficiency improvement in the country. The survey was carried out among some of the most important actors in this area by interviews, supported by filling in a questionnaire in a common format. Review of the existing strategic and regulatory documents and policy papers, different information sources like studies, reports, Internet sites. In chapter 2 the qualitative and quantitative situation in the field of energy supply and consumption is presented. In chapter 3 several topics will be addressed to provide insight into the national energy efficiency and climate change policy, a review, of the actors, with their tasks and responsibilities, the domestic programmes and initiatives as well as the foreign assistance programmes and initiatives. Chapter 4 includes the bottlenecks and problems identified to improve the energy efficiency situation in Romania. In chapter 5 some remarks are made on the criteria for SCORE projects

  10. Validation of a literature-based adherence score to Mediterranean diet: the MEDI-LITE score.

    Science.gov (United States)

    Sofi, Francesco; Dinu, Monica; Pagliai, Giuditta; Marcucci, Rossella; Casini, Alessandro

    2017-09-01

    Numerous studies have demonstrated a relationship between adherence to Mediterranean diet and prevention of chronic degenerative diseases. The aim of this study was to validate a novel instrument to measure adherence to Mediterranean diet based on the literature (the MEDI-LITE score). Two-hundred-and-four clinically healthy subjects completed both the MEDI-LITE score and the validated MedDietScore (MDS). Significant positive correlation between the MEDI-LITE and the MDS scores was found in the study population (R = .70; p MEDI-LITE evidenced a significant discriminative capacity between adherents and non-adherents to the Mediterranean diet pattern (optimal cut-off point = 8.50; sensitivity = 96%; specificity = 38%). In conclusion, our findings show that the MEDI-LITE score well correlate with MDS in both global score and in most of the items related to the specific food categories.

  11. Dual-energy X-ray absorptiometry diagnostic discordance between Z-scores and T-scores in young adults.

    LENUS (Irish Health Repository)

    Carey, John J

    2009-01-01

    Diagnostic criteria for postmenopausal osteoporosis using central dual-energy X-ray absorptiometry (DXA) T-scores have been widely accepted. The validity of these criteria for other populations, including premenopausal women and young men, has not been established. The International Society for Clinical Densitometry (ISCD) recommends using DXA Z-scores, not T-scores, for diagnosis in premenopausal women and men aged 20-49 yr, though studies supporting this position have not been published. We examined diagnostic agreement between DXA-generated T-scores and Z-scores in a cohort of men and women aged 20-49 yr, using 1994 World Health Organization and 2005 ISCD DXA criteria. Four thousand two hundred and seventy-five unique subjects were available for analysis. The agreement between DXA T-scores and Z-scores was moderate (Cohen\\'s kappa: 0.53-0.75). The use of Z-scores resulted in significantly fewer (McNemar\\'s p<0.001) subjects diagnosed with "osteopenia," "low bone mass for age," or "osteoporosis." Thirty-nine percent of Hologic (Hologic, Inc., Bedford, MA) subjects and 30% of Lunar (GE Lunar, GE Madison, WI) subjects diagnosed with "osteoporosis" by T-score were reclassified as either "normal" or "osteopenia" when their Z-score was used. Substitution of DXA Z-scores for T-scores results in significant diagnostic disagreement and significantly fewer persons being diagnosed with low bone mineral density.

  12. Assessment of the U.S. Department of Energy's Home Energy Scoring Tool

    Energy Technology Data Exchange (ETDEWEB)

    Roberts, David [National Renewable Energy Lab. (NREL), Golden, CO (United States); Merket, Noel [National Renewable Energy Lab. (NREL), Golden, CO (United States); Polly, Ben [National Renewable Energy Lab. (NREL), Golden, CO (United States); Heaney, Mike [National Renewable Energy Lab. (NREL), Golden, CO (United States); Casey, Sean [National Renewable Energy Lab. (NREL), Golden, CO (United States); Robertson, Joseph [National Renewable Energy Lab. (NREL), Golden, CO (United States)

    2012-07-01

    The National Renewable Energy Laboratory (NREL) conducted a series of assessments of the U.S. Department of Energy's (DOE) proposed Home Energy Scoring Tool (HEST). This report is an assessment of the 4/27/2012 release of HEST. Predictions of electric and natural gas consumption were compared with weather-normalized utility billing data for a mixture of newer and older homes located in Oregon, Wisconsin, Minnesota, North Carolina and Texas.

  13. Developing HEAT Scores with H-Res Thermal Imagery to Support Urban Energy Efficiency

    Science.gov (United States)

    Hemachandran, Bharanidharan

    As part of The Calgary Community GHG Reduction Plan (2009) The City is seeking an implementation strategy to reduce GHGs and promote low-carbon living, with a focus on improving urban energy efficiency. The most cited obstacle to energy efficiency improvements is the lack of interest from consumers (CUI, 2008). However, Darby (2006) has shown that effective feedback significantly reduces energy consumption. To exploit these findings, the HEAT (Heat Energy Assessment Technologies) Geoweb project integrates high-resolution (H-Res) airborne thermal imagery (TABI 1800) to provide unique energy efficiency feedback to Calgary homeowners in the form of interactive HEAT Maps and Hot Spots (Hay et al., 2011). As a part of the HEAT Phase II program, the goal of this research is to provide enhanced feedback support for urban energy efficiency by meeting two key objectives: (i) develop an appropriate method to define HEAT Scores using TABI 1800 imagery that allows for the comparison of waste heat of one or more houses with all other mapped houses in the community and city, and (ii) develop a multi-scale interactive Geoweb interface that displays the HEAT Scores at City, Community and Residential scales. To achieve these goals, we describe the evolution of three novel HEAT Score techniques based on: (i) a Standardized Score, (ii) the WUFIRTM model and Logistic Regression and (iii ) a novel criteria weighted method that considers: (a) heat transfer through different roofing materials, (b) local climatic conditions and (c) house age and living area attributes. Furthermore, (d) removing or adding houses to analysis based on this 3rd technique, does not affect the HEAT Score of other houses and (e) HEAT Scores can be compared within and across different cities. We also describe how HEAT Scores are incorporated within the HEAT Geoweb architecture. It is envisioned that HEAT Scores will promote energy efficiency among homeowners and urban city planners, as they will quantify and

  14. Association between value-based purchasing score and hospital characteristics

    Directory of Open Access Journals (Sweden)

    Borah Bijan J

    2012-12-01

    Full Text Available Abstract Background Medicare hospital Value-based purchasing (VBP program that links Medicare payments to quality of care will become effective from 2013. It is unclear whether specific hospital characteristics are associated with a hospital’s VBP score, and consequently incentive payments. The objective of the study was to assess the association of hospital characteristics with (i the mean VBP score, and (ii specific percentiles of the VBP score distribution. The secondary objective was to quantify the associations of hospital characteristics with the VBP score components: clinical process of care (CPC score and patient satisfaction score. Methods Observational analysis that used data from three sources: Medicare Hospital Compare Database, American Hospital Association 2010 Annual Survey and Medicare Impact File. The final study sample included 2,491 U.S. acute care hospitals eligible for the VBP program. The association of hospital characteristics with the mean VBP score and specific VBP score percentiles were assessed by ordinary least square (OLS regression and quantile regression (QR, respectively. Results VBP score had substantial variations, with mean score of 30 and 60 in the first and fourth quartiles of the VBP score distribution. For-profit status (vs. non-profit, smaller bed size (vs. 100–199 beds, East South Central region (vs. New England region and the report of specific CPC measures (discharge instructions, timely provision of antibiotics and beta blockers, and serum glucose controls in cardiac surgery patients were positively associated with mean VBP scores (p Conclusions Although hospitals serving the poor and the elderly are more likely to score lower under the VBP program, the correlation appears small. Profit status, geographic regions, number and type of CPC measures reported explain the most variation among scores.

  15. MRI-based semiquantitative scoring of joint pathology in osteoarthritis.

    Science.gov (United States)

    Guermazi, Ali; Roemer, Frank W; Haugen, Ida K; Crema, Michel D; Hayashi, Daichi

    2013-04-01

    The use of MRI techniques to investigate tissue pathology has become increasingly widespread in osteoarthritis (OA) research. Semiquantitative assessment of the joints by expert interpreters of MRI data is a powerful tool that can increase our understanding of the natural history of this complex disease. Several reliable and validated semiquantitative scoring systems now exist and have been applied to large-scale, multicentre, cross-sectional and longitudinal observational epidemiological studies. Such approaches have advanced our understanding of the associations of different tissue pathologies with pain and improved the definition of joint alterations that lead to disease progression. Semiquantitative MRI outcome measures have also been applied in several clinical trials in OA. Indeed, interest in MRI-based semiquantitative scoring systems has led to the development of several novel scoring systems that can be applied to different joints: a knee synovitis scoring system based on contrast-enhanced MRI; the MRI Osteoarthritis Knee Score (MOAKS); the Hip Osteoarthritis MRI Score (HOAMS); and the Oslo Hand Osteoarthritis MRI score (OHOA-MRI). Although these new scoring systems offer theoretical advantages over pre-existing systems, whether they offer actual superiority with regard to reliability, responsiveness and validity remains to be seen.

  16. Towards automated calculation of evidence-based clinical scores.

    Science.gov (United States)

    Aakre, Christopher A; Dziadzko, Mikhail A; Herasevich, Vitaly

    2017-03-26

    To determine clinical scores important for automated calculation in the inpatient setting. A modified Delphi methodology was used to create consensus of important clinical scores for inpatient practice. A list of 176 externally validated clinical scores were identified from freely available internet-based services frequently used by clinicians. Scores were categorized based on pertinent specialty and a customized survey was created for each clinician specialty group. Clinicians were asked to rank each score based on importance of automated calculation to their clinical practice in three categories - "not important", "nice to have", or "very important". Surveys were solicited via specialty-group listserv over a 3-mo interval. Respondents must have been practicing physicians with more than 20% clinical time spent in the inpatient setting. Within each specialty, consensus was established for any clinical score with greater than 70% of responses in a single category and a minimum of 10 responses. Logistic regression was performed to determine predictors of automation importance. Seventy-nine divided by one hundred and forty-four (54.9%) surveys were completed and 72/144 (50%) surveys were completed by eligible respondents. Only the critical care and internal medicine specialties surpassed the 10-respondent threshold (14 respondents each). For internists, 2/110 (1.8%) of scores were "very important" and 73/110 (66.4%) were "nice to have". For intensivists, no scores were "very important" and 26/76 (34.2%) were "nice to have". Only the number of medical history (OR = 2.34; 95%CI: 1.26-4.67; P calculation. Future efforts towards score calculator automation should focus on technically feasible "nice to have" scores.

  17. Ensemble of Neural Classifiers for Scoring Knowledge Base Triples

    OpenAIRE

    Yamada, Ikuya; Sato, Motoki; Shindo, Hiroyuki

    2017-01-01

    This paper describes our approach for the triple scoring task at the WSDM Cup 2017. The task required participants to assign a relevance score for each pair of entities and their types in a knowledge base in order to enhance the ranking results in entity retrieval tasks. We propose an approach wherein the outputs of multiple neural network classifiers are combined using a supervised machine learning model. The experimental results showed that our proposed method achieved the best performance ...

  18. Prediction of trypsin/molecular fragment binding affinities by free energy decomposition and empirical scores

    Science.gov (United States)

    Benson, Mark L.; Faver, John C.; Ucisik, Melek N.; Dashti, Danial S.; Zheng, Zheng; Merz, Kenneth M.

    2012-05-01

    Two families of binding affinity estimation methodologies are described which were utilized in the SAMPL3 trypsin/fragment binding affinity challenge. The first is a free energy decomposition scheme based on a thermodynamic cycle, which included separate contributions from enthalpy and entropy of binding as well as a solvent contribution. Enthalpic contributions were estimated with PM6-DH2 semiempirical quantum mechanical interaction energies, which were modified with a statistical error correction procedure. Entropic contributions were estimated with the rigid-rotor harmonic approximation, and solvent contributions to the free energy were estimated with several different methods. The second general methodology is the empirical score LISA, which contains several physics-based terms trained with the large PDBBind database of protein/ligand complexes. Here we also introduce LISA+, an updated version of LISA which, prior to scoring, classifies systems into one of four classes based on a ligand's hydrophobicity and molecular weight. Each version of the two methodologies (a total of 11 methods) was trained against a compiled set of known trypsin binders available in the Protein Data Bank to yield scaling parameters for linear regression models. Both raw and scaled scores were submitted to SAMPL3. Variants of LISA showed relatively low absolute errors but also low correlation with experiment, while the free energy decomposition methods had modest success when scaling factors were included. Nonetheless, re-scaled LISA yielded the best predictions in the challenge in terms of RMS error, and six of these models placed in the top ten best predictions by RMS error. This work highlights some of the difficulties of predicting binding affinities of small molecular fragments to protein receptors as well as the benefit of using training data.

  19. A Resource Utilization Score for Software Energy Consumption

    NARCIS (Netherlands)

    Jagroep, E.A.; van der Werf, J.M.E.M.; Broekman, Jordy; Blom, Leen; van Vliet, Rob; Brinkkemper, S.

    Software as the true consumer of power and its potential contribution to reach sustainability goals is increasingly being acknowledged. Studies so far have presented successful results and methods to address the energy consumption of the software, indicating that different stakeholders striving for

  20. Technology Credit Scoring Based on a Quantification Method

    Directory of Open Access Journals (Sweden)

    Yonghan Ju

    2017-06-01

    Full Text Available Credit scoring models are usually formulated by fitting the probability of loan default as a function of individual evaluation attributes. Typically, these attributes are measured using a Likert-type scale, but are treated as interval scale explanatory variables to predict loan defaults. Existing models also do not distinguish between types of default, although they vary: default by an insolvent company and default by an insolvent debtor. This practice can bias the results. In this paper, we applied Quantification Method II, a categorical version of canonical correlation analysis, to determine the relationship between two sets of categorical variables: a set of default types and a set of evaluation attributes. We distinguished between two types of loan default patterns based on quantification scores. In the first set of quantification scores, we found knowledge management, new technology development, and venture registration as important predictors of default from non-default status. Based on the second quantification score, we found that the technology and profitability factors influence loan defaults due to an insolvent company. Finally, we proposed a credit-risk rating model based on the quantification score.

  1. dBBQs: dataBase of Bacterial Quality scores.

    Science.gov (United States)

    Wanchai, Visanu; Patumcharoenpol, Preecha; Nookaew, Intawat; Ussery, David

    2017-12-28

    It is well-known that genome sequencing technologies are becoming significantly cheaper and faster. As a result of this, the exponential growth in sequencing data in public databases allows us to explore ever growing large collections of genome sequences. However, it is less known that the majority of available sequenced genome sequences in public databases are not complete, drafts of varying qualities. We have calculated quality scores for around 100,000 bacterial genomes from all major genome repositories and put them in a fast and easy-to-use database. Prokaryotic genomic data from all sources were collected and combined to make a non-redundant set of bacterial genomes. The genome quality score for each was calculated by four different measurements: assembly quality, number of rRNA and tRNA genes, and the occurrence of conserved functional domains. The dataBase of Bacterial Quality scores (dBBQs) was designed to store and retrieve quality scores. It offers fast searching and download features which the result can be used for further analysis. In addition, the search results are shown in interactive JavaScript chart framework using DC.js. The analysis of quality scores across major public genome databases find that around 68% of the genomes are of acceptable quality for many uses. dBBQs (available at http://arc-gem.uams.edu/dbbqs ) provides genome quality scores for all available prokaryotic genome sequences with a user-friendly Web-interface. These scores can be used as cut-offs to get a high-quality set of genomes for testing bioinformatics tools or improving the analysis. Moreover, all data of the four measurements that were combined to make the quality score for each genome, which can potentially be used for further analysis. dBBQs will be updated regularly and is freely use for non-commercial purpose.

  2. Engineering Student Self-Assessment through Confidence-Based Scoring

    Science.gov (United States)

    Yuen-Reed, Gigi; Reed, Kyle B.

    2015-01-01

    A vital aspect of an answer is the confidence that goes along with it. Misstating the level of confidence one has in the answer can have devastating outcomes. However, confidence assessment is rarely emphasized during typical engineering education. The confidence-based scoring method described in this study encourages students to both think about…

  3. Commercial Building Energy Asset Score System: Program Overview and Technical Protocol (Version 1.0)

    Energy Technology Data Exchange (ETDEWEB)

    Wang, Na; Gorrissen, Willy J.

    2013-01-11

    The U.S. Department of Energy (DOE) is developing a national voluntary energy asset score system that includes an energy asset score tool to help building owners evaluate their buildings with respect to the score system. The goal of the energy asset score system is to facilitate cost-effective investment in energy efficiency improvements of commercial buildings. The system will allow building owners and managers to compare their building infrastructure against peers and track building upgrade progress over time. The system can also help other building stakeholders (e.g., building operators, tenants, financiers, and appraisers) understand the relative efficiency of different buildings in a way that is independent from their operations and occupancy. This report outlines the technical protocol used to generate the energy asset score, explains the scoring methodology, and provides additional details regarding the energy asset score tool. This report also describes alternative methods that were considered prior to developing the current approach. Finally, this report describes a few features of the program where alternative approaches are still under evaluation.

  4. Are the MDS-UPDRS-based composite scores clinically applicable?

    Science.gov (United States)

    Makkos, Attila; Kovács, Márton; Aschermann, Zsuzsanna; Harmat, Márk; Janszky, József; Karádi, Kázmér; Kovács, Norbert

    2018-02-28

    The International Parkinson and Movement Disorder Society-sponsored UPDRS (MDS-UPDRS) is a powerful clinical outcome measure. To evaluate the feasibility of various MDS-UPDRS-based composite scores and determine their minimal clinically important difference threshold values. Overall, 1,113 paired investigations of 452 patients were reviewed implementing three different techniques simultaneously. Based on the ordinal regression modeling, the MDS-UPDRS II+III, MDS-UPDRS I+II+III, and the total score of MDS-UPDRS are clinically applicable outcome measures. Any improvement greater than 4.9 points or any worsening more than 4.2 points on MDS-UPDRS II+III represent a minimal, yet clinically meaningful, change. In reference to MDS-UPDRS I+II+III, the smallest changes considered clinically relevant were 6.7 and 5.2 points for improvement and deterioration, respectively. The thresholds for the total score of MDS-UPDRS were 7.1 points for improvement and 6.3 points for worsening. Our findings support the application of various MDS-UPDRS-based composite scores. © 2018 International Parkinson and Movement Disorder Society. © 2018 International Parkinson and Movement Disorder Society.

  5. Score based procedures for the calculation of forensic likelihood ratios - Scores should take account of both similarity and typicality.

    Science.gov (United States)

    Morrison, Geoffrey Stewart; Enzinger, Ewald

    2018-01-01

    Score based procedures for the calculation of forensic likelihood ratios are popular across different branches of forensic science. They have two stages, first a function or model which takes measured features from known-source and questioned-source pairs as input and calculates scores as output, then a subsequent model which converts scores to likelihood ratios. We demonstrate that scores which are purely measures of similarity are not appropriate for calculating forensically interpretable likelihood ratios. In addition to taking account of similarity between the questioned-origin specimen and the known-origin sample, scores must also take account of the typicality of the questioned-origin specimen with respect to a sample of the relevant population specified by the defence hypothesis. We use Monte Carlo simulations to compare the output of three score based procedures with reference likelihood ratio values calculated directly from the fully specified Monte Carlo distributions. The three types of scores compared are: 1. non-anchored similarity-only scores; 2. non-anchored similarity and typicality scores; and 3. known-source anchored same-origin scores and questioned-source anchored different-origin scores. We also make a comparison with the performance of a procedure using a dichotomous "match"/"non-match" similarity score, and compare the performance of 1 and 2 on real data. Copyright © 2017 The Authors. Published by Elsevier B.V. All rights reserved.

  6. Opportunistic splitting for scheduling using a score-based approach

    KAUST Repository

    Rashid, Faraan

    2012-06-01

    We consider the problem of scheduling a user in a multi-user wireless environment in a distributed manner. The opportunistic splitting algorithm is applied to find the best group of users without reporting the channel state information to the centralized scheduler. The users find the best among themselves while requiring just a ternary feedback from the common receiver at the end of each mini-slot. The original splitting algorithm is modified to handle users with asymmetric channel conditions. We use a score-based approach with the splitting algorithm to introduce time and throughput fairness while exploiting the multi-user diversity of the network. Analytical and simulation results are given to show that the modified score-based splitting algorithm works well as a fair scheduling scheme with good spectral efficiency and reduced feedback. © 2012 IEEE.

  7. Semi-automatic sleep EEG scoring based on the hypnospectrogram.

    Science.gov (United States)

    Koupparis, Andreas M; Kokkinos, Vasileios; Kostopoulos, George K

    2013-10-25

    Sleep EEG organization is revealed by sleep scoring, a time-consuming process based on strictly defined visual criteria. We explore the possibility of sleep scoring using the whole-night time-frequency analysis, termed hypnospectrogram, with a computer-assisted K-means clustering method. Hypnograms were derived from 10 whole-night sleep EEG recordings using either standard visual scoring under the Rechtshaffen and Kales criteria or semi-automated analysis of the hypnospectrogram derived from a single EEG electrode. We measured substantial agreement between the two approaches with Cohen's kappa considering all 7 stages at 0.61. A number of existing automated procedures have reached the level of human inter-rater agreement using the standard criteria. However, our approach offers the scorer the opportunity to exploit the information-rich graphic representation of the whole night sleep upon which the automated method works. This work suggests that the hypnospectrogram can be used as an objective graphical representation of sleep architecture upon which sleep scoring can be performed with computer-assisted methods. Copyright © 2013. Published by Elsevier B.V.

  8. Commercial Building Energy Asset Score Program Overview and Technical Protocol (Version 1.1)

    Energy Technology Data Exchange (ETDEWEB)

    Wang, Na; Goel, Supriya; Makhmalbaf, Atefe

    2013-08-09

    The U.S. Department of Energy (DOE) is developing a voluntary national scoring system for commercial buildings to help building owners and managers assess a building’s energy-related systems independent of operations. The goal of the score is to facilitate cost-effective investment in energy efficiency improvements of commercial buildings. The system, known as the Commercial Building Energy Asset Score, will allow building owners and managers to compare their building infrastructure against peers and track building upgrades over time. The system will also help other building stakeholders (e.g., building investors, tenants, financiers, and appraisers) understand the relative efficiency of different buildings in a way that is independent from operations and occupancy. This report outlines the technical protocol used to generate the energy asset score, explains the scoring methodology, and provides additional details regarding the energy asset scoring tool. The alternative methods that were considered prior to developing the current approach are described in the Program Overview and Technical Protocol Version 1.0.

  9. Evaluation of the Home Energy Score: An Experiment with New Jersey Natural Gas

    Energy Technology Data Exchange (ETDEWEB)

    Knittel, Christopher [Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States); Wolfran, Catherine [Univ. of California, Berkeley, CA (United States); Gandhi, Raina [Evoworx Inc., Wilmington, DE (United States)

    2016-03-01

    A wide range of climate plans rely on energy efficiency to generate energy and carbon emissions reductions, but conventional wisdom holds that consumers have historically underinvested in energy efficiency upgrades. This underinvestment may occur for a variety of reasons, one of which is that consumers are not adequately informed about the benefits to energy efficiency. To address this, the U.S. Department of Energy created a tool called the Home Energy Score (HEScore) to act as a simple, low-cost means to provide clear information about a home’s energy efficiency and motivate homeowners and homebuyers to invest in energy efficiency. The Department of Energy is in the process of conducting four evaluations assessing the impact of the Home Energy Score on residential energy efficiency investments and program participation. This paper describes one of these evaluations: a randomized controlled trial conducted in New Jersey in partnership with New Jersey Natural Gas. The evaluation randomly provides homeowners who have received an audit, either because they have recently replaced their furnace, boiler, and/or gas water heater with a high-efficiency model and participated in a free audit to access an incentive, or because they requested an independent audit3, between May 2014 and October 2015, with the Home Energy Score.

  10. Association of a Dietary Score with Incident Type 2 Diabetes: The Dietary-Based Diabetes-Risk Score (DDS)

    Science.gov (United States)

    Dominguez, Ligia J.; Bes-Rastrollo, Maira; Basterra-Gortari, Francisco Javier; Gea, Alfredo; Barbagallo, Mario; Martínez-González, Miguel A.

    2015-01-01

    Background Strong evidence supports that dietary modifications may decrease incident type 2 diabetes mellitus (T2DM). Numerous diabetes risk models/scores have been developed, but most do not rely specifically on dietary variables or do not fully capture the overall dietary pattern. We prospectively assessed the association of a dietary-based diabetes-risk score (DDS), which integrates optimal food patterns, with the risk of developing T2DM in the SUN (“Seguimiento Universidad de Navarra”) longitudinal study. Methods We assessed 17,292 participants initially free of diabetes, followed-up for a mean of 9.2 years. A validated 136-item FFQ was administered at baseline. Taking into account previous literature, the DDS positively weighted vegetables, fruit, whole cereals, nuts, coffee, low-fat dairy, fiber, PUFA, and alcohol in moderate amounts; while it negatively weighted red meat, processed meats and sugar-sweetened beverages. Energy-adjusted quintiles of each item (with exception of moderate alcohol consumption that received either 0 or 5 points) were used to build the DDS (maximum: 60 points). Incident T2DM was confirmed through additional detailed questionnaires and review of medical records of participants. We used Cox proportional hazards models adjusted for socio-demographic and anthropometric parameters, health-related habits, and clinical variables to estimate hazard ratios (HR) of T2DM. Results We observed 143 T2DM confirmed cases during follow-up. Better baseline conformity with the DDS was associated with lower incidence of T2DM (multivariable-adjusted HR for intermediate (25–39 points) vs. low (11–24) category 0.43 [95% confidence interval (CI) 0.21, 0.89]; and for high (40–60) vs. low category 0.32 [95% CI: 0.14, 0.69]; p for linear trend: 0.019). Conclusions The DDS, a simple score exclusively based on dietary components, showed a strong inverse association with incident T2DM. This score may be applicable in clinical practice to improve

  11. Association of a Dietary Score with Incident Type 2 Diabetes: The Dietary-Based Diabetes-Risk Score (DDS.

    Directory of Open Access Journals (Sweden)

    Ligia J Dominguez

    Full Text Available Strong evidence supports that dietary modifications may decrease incident type 2 diabetes mellitus (T2DM. Numerous diabetes risk models/scores have been developed, but most do not rely specifically on dietary variables or do not fully capture the overall dietary pattern. We prospectively assessed the association of a dietary-based diabetes-risk score (DDS, which integrates optimal food patterns, with the risk of developing T2DM in the SUN ("Seguimiento Universidad de Navarra" longitudinal study.We assessed 17,292 participants initially free of diabetes, followed-up for a mean of 9.2 years. A validated 136-item FFQ was administered at baseline. Taking into account previous literature, the DDS positively weighted vegetables, fruit, whole cereals, nuts, coffee, low-fat dairy, fiber, PUFA, and alcohol in moderate amounts; while it negatively weighted red meat, processed meats and sugar-sweetened beverages. Energy-adjusted quintiles of each item (with exception of moderate alcohol consumption that received either 0 or 5 points were used to build the DDS (maximum: 60 points. Incident T2DM was confirmed through additional detailed questionnaires and review of medical records of participants. We used Cox proportional hazards models adjusted for socio-demographic and anthropometric parameters, health-related habits, and clinical variables to estimate hazard ratios (HR of T2DM.We observed 143 T2DM confirmed cases during follow-up. Better baseline conformity with the DDS was associated with lower incidence of T2DM (multivariable-adjusted HR for intermediate (25-39 points vs. low (11-24 category 0.43 [95% confidence interval (CI 0.21, 0.89]; and for high (40-60 vs. low category 0.32 [95% CI: 0.14, 0.69]; p for linear trend: 0.019.The DDS, a simple score exclusively based on dietary components, showed a strong inverse association with incident T2DM. This score may be applicable in clinical practice to improve dietary habits of subjects at high risk of T2DM

  12. Standardized computer-based organized reporting of EEG:SCORE

    DEFF Research Database (Denmark)

    Beniczky, Sandor; H, Aurlien,; JC, Brøgger,

    2013-01-01

    in free-text format. The purpose of our endeavor was to create a computer-based system for EEG assessment and reporting, where the physicians would construct the reports by choosing from predefined elements for each relevant EEG feature, as well as the clinical phenomena (for video-EEG recordings....... SCORE can potentially improve the quality of EEG assessment and reporting; it will help incorporate the results of computer-assisted analysis into the report, it will make possible the build-up of a multinational database, and it will help in training young neurophysiologists....

  13. Hydrogen energy based on nuclear energy

    International Nuclear Information System (INIS)

    2002-06-01

    A concept to produce hydrogen of an energy carrier using nuclear energy was proposed since 1970s, and a number of process based on thermochemical method has been investigated after petroleum shock. As this method is used high temperature based on nuclear reactors, these researches are mainly carried out as a part of application of high temperature reactors, which has been carried out at an aim of the high temperature reactor application in the Japan Atomic Energy Research Institute. On October, 2000, the 'First International Conference for Information Exchange on Hydrogen Production based on Nuclear Energy' was held by auspice of OECD/NEA, where hydrogen energy at energy view in the 21st Century, technology on hydrogen production using nuclear energy, and so on, were published. This commentary was summarized surveys and researches on hydrogen production using nuclear energy carried out by the Nuclear Hydrogen Research Group established on January, 2001 for one year. They contains, views on energy and hydrogen/nuclear energy, hydrogen production using nuclear energy and already finished researches, methods of hydrogen production using nuclear energy and their present conditions, concepts on production plants of nuclear hydrogen, resources on nuclear hydrogen production and effect on global environment, requests from market and acceptability of society, and its future process. (G.K.)

  14. Do medical students’ scores using different assessment instruments predict their scores in clinical reasoning using a computer-based simulation?

    Directory of Open Access Journals (Sweden)

    Fida M

    2015-02-01

    Full Text Available Mariam Fida,1 Salah Eldin Kassab2 1Department of Molecular Medicine, College of Medicine and Medical Sciences, Arabian Gulf University, Manama, Bahrain; 2Department of Medical Education, Faculty of Medicine, Suez Canal University, Ismailia, Egypt Purpose: The development of clinical problem-solving skills evolves over time and requires structured training and background knowledge. Computer-based case simulations (CCS have been used for teaching and assessment of clinical reasoning skills. However, previous studies examining the psychometric properties of CCS as an assessment tool have been controversial. Furthermore, studies reporting the integration of CCS into problem-based medical curricula have been limited. Methods: This study examined the psychometric properties of using CCS software (DxR Clinician for assessment of medical students (n=130 studying in a problem-based, integrated multisystem module (Unit IX during the academic year 2011–2012. Internal consistency reliability of CCS scores was calculated using Cronbach's alpha statistics. The relationships between students' scores in CCS components (clinical reasoning, diagnostic performance, and patient management and their scores in other examination tools at the end of the unit including multiple-choice questions, short-answer questions, objective structured clinical examination (OSCE, and real patient encounters were analyzed using stepwise hierarchical linear regression. Results: Internal consistency reliability of CCS scores was high (α=0.862. Inter-item correlations between students' scores in different CCS components and their scores in CCS and other test items were statistically significant. Regression analysis indicated that OSCE scores predicted 32.7% and 35.1% of the variance in clinical reasoning and patient management scores, respectively (P<0.01. Multiple-choice question scores, however, predicted only 15.4% of the variance in diagnostic performance scores (P<0.01, while

  15. MedusaScore: An accurate force field-based scoring function for virtual drug screening

    Czech Academy of Sciences Publication Activity Database

    Yin, S.; Biedermannová, Lada; Vondrášek, Jiří; Dokholyan, N. V.

    2008-01-01

    Roč. 48, č. 8 (2008), s. 1656-1662 ISSN 1549-9596 Grant - others:NIH(US) RO1-GM080742 Institutional research plan: CEZ:AV0Z40550506 Keywords : free-energy calculation * protein-ligand complex * binding-affinity * flexible docking * molecular recognition Subject RIV: CF - Physical ; Theoretical Chemistry Impact factor: 3.643, year: 2008

  16. Supporting the Co-operative Organisation of Rational Energy Use (SCORE). Bulgaria Country Document

    International Nuclear Information System (INIS)

    2000-12-01

    SCORE stands for Supporting the Co-operative Organisation of Rational Energy Use. It aims at assisting the social transformation in the Central and Eastern European countries by creating self-supporting structures that are able to stimulate the efficient use of energy in end-user sectors. This document aims at presenting an in-depth institutional analysis of the energy efficiency situation in Bulgaria, including the current situation with regard to energy supply, consumption and environmental aspects, as well as an analysis of energy efficiency policies, instruments and organisations. Also, the document identifies problems related to energy efficiency in Bulgaria and indicates the areas of actions for an integrated SCORE programme in Bulgaria. The input for this process was provided by a survey among the main actors in the field, consisting of a questionnaire and interviews and a review of available information. The results were discussed in a workshop attended by the main stakeholders. The main characteristics of the Bulgarian energy sector are summarised in chapter 2. They indicate a high dependency on imported resources, a low quality of domestic fuels, a relatively high energy intensity of production and a low efficiency at supply and demand side with consider able potential for improvement. The restructuring of the sector has started but the process is far from completed. In the main towns heat is mainly supplied by district heating generated partly in co-generation plants. Gas distribution for public and residential buildings is quickly developing. In Chapter 3 the existing policies and actors are described and a 'roadmap' for energy efficiency actors is given. This provides the basis for defining the priorities for energy efficiency improvements presented in Chapter 4, by analysing the tools, policy instruments and organisations. Barriers and priority actions were defined in relation to the national policy level, the institutional structure, financial and

  17. Comparison of the Classifier Oriented Gait Score and the Gait Profile Score based on imitated gait impairments.

    Science.gov (United States)

    Christian, Josef; Kröll, Josef; Schwameder, Hermann

    2017-06-01

    Common summary measures of gait quality such as the Gait Profile Score (GPS) are based on the principle of measuring a distance from the mean pattern of a healthy reference group in a gait pattern vector space. The recently introduced Classifier Oriented Gait Score (COGS) is a pathology specific score that measures this distance in a unique direction, which is indicated by a linear classifier. This approach has potentially improved the discriminatory power to detect subtle changes in gait patterns but does not incorporate a profile of interpretable sub-scores like the GPS. The main aims of this study were to extend the COGS by decomposing it into interpretable sub-scores as realized in the GPS and to compare the discriminative power of the GPS and COGS. Two types of gait impairments were imitated to enable a high level of control of the gait patterns. Imitated impairments were realized by restricting knee extension and inducing leg length discrepancy. The results showed increased discriminatory power of the COGS for differentiating diverse levels of impairment. Comparison of the GPS and COGS sub-scores and their ability to indicate changes in specific variables supports the validity of both scores. The COGS is an overall measure of gait quality with increased power to detect subtle changes in gait patterns and might be well suited for tracing the effect of a therapeutic treatment over time. The newly introduced sub-scores improved the interpretability of the COGS, which is helpful for practical applications. Copyright © 2017 Elsevier B.V. All rights reserved.

  18. Hospital Value-Based Purchasing (HVBP) – Heart Failure Scores

    Data.gov (United States)

    U.S. Department of Health & Human Services — A list of hospitals participating in the Hospital VBP Program and their performance rates and scores for the Clinical Process of Care Heart Failure measures.

  19. Development of the knowledge-based and empirical combined scoring algorithm (KECSA) to score protein-ligand interactions.

    Science.gov (United States)

    Zheng, Zheng; Merz, Kenneth M

    2013-05-24

    We describe a novel knowledge-based protein-ligand scoring function that employs a new definition for the reference state, allowing us to relate a statistical potential to a Lennard-Jones (LJ) potential. In this way, the LJ potential parameters were generated from protein-ligand complex structural data contained in the Protein Databank (PDB). Forty-nine (49) types of atomic pairwise interactions were derived using this method, which we call the knowledge-based and empirical combined scoring algorithm (KECSA). Two validation benchmarks were introduced to test the performance of KECSA. The first validation benchmark included two test sets that address the training set and enthalpy/entropy of KECSA. The second validation benchmark suite included two large-scale and five small-scale test sets, to compare the reproducibility of KECSA, with respect to two empirical score functions previously developed in our laboratory (LISA and LISA+), as well as to other well-known scoring methods. Validation results illustrate that KECSA shows improved performance in all test sets when compared with other scoring methods, especially in its ability to minimize the root mean square error (RMSE). LISA and LISA+ displayed similar performance using the correlation coefficient and Kendall τ as the metric of quality for some of the small test sets. Further pathways for improvement are discussed for which would allow KECSA to be more sensitive to subtle changes in ligand structure.

  20. Similarity score computation for minutiae-based fingerprint recognition

    CSIR Research Space (South Africa)

    Khanyile, NP

    2014-09-01

    Full Text Available to see if they are able to deal with each of the matching subproblems. Results show that most scores in the literature fall in one of two ends of matching; good at discriminating impostor matches, or good at discriminating genuine matches. The authors...

  1. A Study of Teacher Effects Based on Students' Achievement Scores.

    Science.gov (United States)

    Acland, Henry

    This report tests the assumption that teachers have an impact on how much students learn. The results of this study indicate that teachers have an effect on average class achievement scores, and that this effect can be broken down into a stable component attributed to the teachers' consistency, and an unstable effect which varies from year to…

  2. SIGI: score-based identification of genomic islands

    Directory of Open Access Journals (Sweden)

    Merkl Rainer

    2004-03-01

    Full Text Available Abstract Background Genomic islands can be observed in many microbial genomes. These stretches of DNA have a conspicuous composition with regard to sequence or encoded functions. Genomic islands are assumed to be frequently acquired via horizontal gene transfer. For the analysis of genome structure and the study of horizontal gene transfer, it is necessary to reliably identify and characterize these islands. Results A scoring scheme on codon frequencies Score_G1G2(cdn = log(f_G2(cdn / f_G1(cdn was utilized. To analyse genes of a species G1 and to test their relatedness to species G2, scores were determined by applying the formula to log-odds derived from mean codon frequencies of the two genomes. A non-redundant set of nearly 400 codon usage tables comprising microbial species was derived; its members were used alternatively at position G2. Genes having at least one score value above a species-specific and dynamically determined cut-off value were analysed further. By means of cluster analysis, genes were identified that comprise clusters of statistically significant size. These clusters were predicted as genomic islands. Finally and individually for each of these genes, the taxonomical relation among those species responsible for significant scores was interpreted. The validity of the approach and its limitations were made plausible by an extensive analysis of natural genes and synthetic ones aimed at modelling the process of gene amelioration. Conclusions The method reliably allows to identify genomic island and the likely origin of alien genes.

  3. The high-density lipoprotein-adjusted SCORE model worsens SCORE-based risk classification in a contemporary population of 30 824 Europeans

    DEFF Research Database (Denmark)

    Mortensen, Martin B; Afzal, Shoaib; Nordestgaard, Børge G

    2015-01-01

    AIMS: Recent European guidelines recommend to include high-density lipoprotein (HDL) cholesterol in risk assessment for primary prevention of cardiovascular disease (CVD), using a SCORE-based risk model (SCORE-HDL). We compared the predictive performance of SCORE-HDL with SCORE in an independent.......8 years of follow-up, 339 individuals died of CVD. In the SCORE target population (age 40-65; n = 30,824), fewer individuals were at baseline categorized as high risk (≥5% 10-year risk of fatal CVD) using SCORE-HDL compared with SCORE (10 vs. 17% in men, 1 vs. 3% in women). SCORE-HDL did not improve...... discrimination of future fatal CVD, compared with SCORE, but decreased the detection rate (sensitivity) of the 5% high-risk threshold from 42 to 26%, yielding a negative net reclassification index (NRI) of -12%. Importantly, using SCORE-HDL, the sensitivity was zero among women. Both SCORE and SCORE...

  4. Prediction of State Mandated Assessment Mathematics Scores from Computer Based Mathematics and Reading Preview Assessments

    Science.gov (United States)

    Costa-Guerra, Boris

    2012-01-01

    The study sought to understand whether MAPs computer based assessment of math and language skills using MAPs reading scores can predict student scores on the NMSBA. A key question was whether or not the prediction can be improved by including student language skill scores. The study explored the effectiveness of computer based preview assessments…

  5. Clinical risk stratification of acute pulmonary embolism: comparing the usefulness of CTA obstruction score and pulmonary perfusion defect score with dual-energy CT.

    Science.gov (United States)

    Kong, Wei-Fang; Wang, Yu-Ting; Yin, Long-Lin; Pu, Hong; Tao, Ke-Yan

    2017-12-01

    To compare the ability of CT angiography (CTA) obstruction score and perfusion defect score on dual energy CT perfusion imaging (DEPI) for clinical risk stratification of patients with acute pulmonary embolism (PE). 55 patients diagnosed as acute PE either by CTA or DEPI were retrospectively enrolled. Patients were grouped into high-, intermediate-, and low-risk groups in accordance to the renewed guidelines of 2014. Consistency between DEPI and CTA in diagnosis of PE were assessed. Correlations between CT parameters and right-to-left ventricular (RV/LV) diameter ratio were evaluated. Difference of CTA obstruction score and perfusion defect score across three groups with different risks were analyzed. The consistent rate of DEPI with CTA was 75.4%, and the Kappa value was 0.412 (p = 0.000). 44.3% of partially obstructive PE showed on CTA did not lead to perfusion defect on DEPI. Perfusion defect score was significantly correlated with CTA obstruction score and with RV/LV (r = 0.622 and 0.599, respectively, p Perfusion defect score could distinguish low- from intermediate-risk groups (p = 0.011). However, CTA obstruction score could not distinguish the two groups (p = 0.149). DEPI had fine consistency with CTA to diagnose acute PE and offered additional information of physiologic changes. Comparing with CTA obstruction score, perfusion defect score could better correlate with right ventricular dysfunction, and could be a more promising biomarker for clinical risk stratification.

  6. Forest biomass-based energy

    Science.gov (United States)

    Janaki R. R. Alavalapati; Pankaj Lal; Andres Susaeta; Robert C. Abt; David N. Wear

    2013-01-01

    Key FindingsHarvesting woody biomass for use as bioenergy is projected to range from 170 million to 336 million green tons by 2050, an increase of 54 to 113 percent over current levels.Consumption projections for forest biomass-based energy, which are based on Energy Information Administration projections, have a high level of...

  7. Dialysis Malnutrition and Malnutrition Inflammation Scores: screening tools for prediction of dialysis-related protein-energy wasting in Malaysia.

    Science.gov (United States)

    Harvinder, Gilcharan Singh; Swee, Winnie Chee Siew; Karupaiah, Tilakavati; Sahathevan, Sharmela; Chinna, Karuthan; Ahmad, Ghazali; Bavanandan, Sunita; Goh, Bak Leong

    2016-01-01

    Malnutrition is highly prevalent in Malaysian dialysis patients and there is a need for a valid screening tool for early identification and management. This cross-sectional study aims to examine the sensitivity of the Dialysis Malnutrition Score (DMS) and Malnutrition Inflammation Score (MIS) tools in predicting protein-energy wasting (PEW) among Malaysian dialysis patients. A total of 155 haemodialysis (HD) and 90 peritoneal dialysis (PD) patients were screened for risk of malnutrition using DMS and MIS and comparisons were made with established guidelines by International Society of Renal Nutrition and Metabolism (ISRNM) for PEW. MIS cut-off score of >=5 indicated presence of malnutrition in all patients. A total of 59% of HD and 83% of PD patients had PEW by ISRNM criteria. Based on DMS, 73% of HD and 71% of PD patients exhibited moderate malnutrition, whilst using MIS, 88% and 90%, respectively were malnourished. DMS and MIS correlated significantly in HD (r2=0.552, pmalnutrition classification were established (score >=5) for use amongst Malaysian dialysis patients. Both DMS and MIS are valid tools to be used for nutrition screening of dialysis patients especially those undergoing peritoneal dialysis. The DMS may be a more practical and simpler tool to be utilized in the Malaysian dialysis settings as it does not require laboratory markers.

  8. Energy Data Base

    Energy Technology Data Exchange (ETDEWEB)

    Kane, L S; Cutler, D E [eds.

    1990-09-01

    To aid in the processing of bibliographic citations (including cataloging information, subject content indicators and abstracts), data are encoded in a format specific to OSTI. This format allows for computer storage, manipulation, and retrieval using both online and offline systems. Expansion of OSTI's data files to include nonnuclear information is relatively recent, beginning in 1974. OSTI's selection and announcement of technical information now represents a broad spectrum of energy-related fields following current research and development interest in both the domestic and the international arenas. To make the database as comprehensive as possible, current as well as background information is included. As part of its responsibility to build and maintain this database, OSTI accepts data on magnetic tape and floppy diskettes; OSTI's responsibility also includes dissemination of this technical information on magnetic tape as well. Each outgoing tape represents a two-week period of input to the database and may vary from 5000 to 14,000 records per tape. These tapes or diskettes, their format, and data content are described in this document.

  9. Multimodal biometric authentication based on score level fusion using support vector machine

    Science.gov (United States)

    Wang, F.; Han, J.

    2009-03-01

    Fusion of multiple biometrics for human authentication performance improvement has received considerable attention. This paper presents a novel multimodal biometric authentication method integrating face and iris based on score level fusion. For score level fusion, support vector machine (SVM) based fusion rule is applied to combine two matching scores, respectively from Laplacianface based face verifier and phase information based iris verifier, to generate a single scalar score which is used to make the final decision. Experimental results show that the performance of the proposed method can bring obvious improvement comparing to the unimodal biometric identification methods and the previous fused face-iris methods.

  10. Autocorrelation and Regularization of Query-Based Information Retrieval Scores

    Science.gov (United States)

    2008-02-01

    like dogs, are digitigrades: they walk directly on their toes, the bones of their feet making up the lower part of the visible leg. (b) Molecular...techniques in information retrieval. Artif . Intell. Rev., 11(6):453–482, 1997. W. B. Croft. A model of cluster searching based on classification

  11. Scoring predictive models using a reduced representation of proteins: model and energy definition

    Directory of Open Access Journals (Sweden)

    Corazza Alessandra

    2007-03-01

    Full Text Available Abstract Background Reduced representations of proteins have been playing a keyrole in the study of protein folding. Many such models are available, with different representation detail. Although the usefulness of many such models for structural bioinformatics applications has been demonstrated in recent years, there are few intermediate resolution models endowed with an energy model capable, for instance, of detecting native or native-like structures among decoy sets. The aim of the present work is to provide a discrete empirical potential for a reduced protein model termed here PC2CA, because it employs a PseudoCovalent structure with only 2 Centers of interactions per Amino acid, suitable for protein model quality assessment. Results All protein structures in the set top500H have been converted in reduced form. The distribution of pseudobonds, pseudoangle, pseudodihedrals and distances between centers of interactions have been converted into potentials of mean force. A suitable reference distribution has been defined for non-bonded interactions which takes into account excluded volume effects and protein finite size. The correlation between adjacent main chain pseudodihedrals has been converted in an additional energetic term which is able to account for cooperative effects in secondary structure elements. Local energy surface exploration is performed in order to increase the robustness of the energy function. Conclusion The model and the energy definition proposed have been tested on all the multiple decoys' sets in the Decoys'R'us database. The energetic model is able to recognize, for almost all sets, native-like structures (RMSD less than 2.0 Å. These results and those obtained in the blind CASP7 quality assessment experiment suggest that the model compares well with scoring potentials with finer granularity and could be useful for fast exploration of conformational space. Parameters are available at the url: http://www.dstb.uniud.it/~ffogolari/download/.

  12. Scoring predictive models using a reduced representation of proteins: model and energy definition.

    Science.gov (United States)

    Fogolari, Federico; Pieri, Lidia; Dovier, Agostino; Bortolussi, Luca; Giugliarelli, Gilberto; Corazza, Alessandra; Esposito, Gennaro; Viglino, Paolo

    2007-03-23

    Reduced representations of proteins have been playing a keyrole in the study of protein folding. Many such models are available, with different representation detail. Although the usefulness of many such models for structural bioinformatics applications has been demonstrated in recent years, there are few intermediate resolution models endowed with an energy model capable, for instance, of detecting native or native-like structures among decoy sets. The aim of the present work is to provide a discrete empirical potential for a reduced protein model termed here PC2CA, because it employs a PseudoCovalent structure with only 2 Centers of interactions per Amino acid, suitable for protein model quality assessment. All protein structures in the set top500H have been converted in reduced form. The distribution of pseudobonds, pseudoangle, pseudodihedrals and distances between centers of interactions have been converted into potentials of mean force. A suitable reference distribution has been defined for non-bonded interactions which takes into account excluded volume effects and protein finite size. The correlation between adjacent main chain pseudodihedrals has been converted in an additional energetic term which is able to account for cooperative effects in secondary structure elements. Local energy surface exploration is performed in order to increase the robustness of the energy function. The model and the energy definition proposed have been tested on all the multiple decoys' sets in the Decoys'R'us database. The energetic model is able to recognize, for almost all sets, native-like structures (RMSD less than 2.0 A). These results and those obtained in the blind CASP7 quality assessment experiment suggest that the model compares well with scoring potentials with finer granularity and could be useful for fast exploration of conformational space. Parameters are available at the url: http://www.dstb.uniud.it/~ffogolari/download/.

  13. Advanced fibre based energy storage.

    OpenAIRE

    Reid, Daniel

    2017-01-01

    New energy storage devices are required to enable future technologies. With the rise of wearable consumer and medical devices, a suitable flexible and wearable means of storing electrical energy is required. Fibre-based devices present a possible method of achieving this aim. Fibres are inherently more flexible than their bulk counterparts, and as such can be employed to form the electrodes of flexible batteries and capacitors. They also present a facile possibility for incorporation into man...

  14. Graphene-based energy devices

    CERN Document Server

    Yusoff, A Rashid bin Mohd

    2015-01-01

    This first book dedicated to the topic provides an up-to-date account of the many opportunities graphene offers for robust, workable energy generation and storage devices. Following a brief overview of the fundamentals of graphene, including the main synthesis techniques, characterization methods and properties, the first part goes on to deal with graphene for energy storage applications, such as lithium-ion batteries, supercapacitors and hydrogen storage. The second part is concerned with graphene-based energy-generation devices, in particular conventional as well as microbial and enzymatic f

  15. Homology model-based virtual screening for GPCR ligands using docking and target-biased scoring.

    Science.gov (United States)

    Radestock, Sebastian; Weil, Tanja; Renner, Steffen

    2008-05-01

    The current study investigates the combination of two recently reported techniques for the improvement of homology model-based virtual screening for G-protein coupled receptor (GPCR) ligands. First, ligand-supported homology modeling was used to generate receptor models that were in agreement with mutagenesis data and structure-activity relationship information of the ligands. Second, interaction patterns from known ligands to the receptor were applied for scoring and rank ordering compounds from a virtual library using ligand-receptor interaction fingerprint-based similarity (IFS). Our approach was evaluated in retrospective virtual screening experiments for antagonists of the metabotropic glutamate receptor (mGluR) subtype 5. The results of our approach were compared to the results obtained by conventional scoring functions (Dock-Score, PMF-Score, Gold-Score, ChemScore, and FlexX-Score). The IFS lead to significantly higher enrichment rates, relative to the competing scoring functions. Though using a target-biased scoring approach, the results were not biased toward the chemical classes of the reference structures. Our results indicate that the presented approach has the potential to serve as a general setup for successful structure-based GPCR virtual screening.

  16. Recurrence risk of low Apgar score among term singletons: a population-based cohort study

    NARCIS (Netherlands)

    Ensing, Sabine; Schaaf, Jelle M.; Abu-Hanna, Ameen; Mol, Ben W. J.; Ravelli, Anita C. J.

    2014-01-01

    To examine the risk of recurrence of low Apgar score in a subsequent term singleton pregnancy. Population-based cohort study. The Netherlands. A total of 190,725 women with two subsequent singleton term live births between 1999 and 2007. We calculated the recurrence risk of low Apgar score after

  17. Comparison of "E-Rater"[R] Automated Essay Scoring Model Calibration Methods Based on Distributional Targets

    Science.gov (United States)

    Zhang, Mo; Williamson, David M.; Breyer, F. Jay; Trapani, Catherine

    2012-01-01

    This article describes two separate, related studies that provide insight into the effectiveness of "e-rater" score calibration methods based on different distributional targets. In the first study, we developed and evaluated a new type of "e-rater" scoring model that was cost-effective and applicable under conditions of absent human rating and…

  18. Energy efficacy used to score organic refuse pretreatment processes for hydrogen anaerobic production.

    Science.gov (United States)

    Ruggeri, Bernardo; Luongo Malave, Andrea C; Bernardi, Milena; Fino, Debora

    2013-11-01

    The production of hydrogen through Anaerobic Digestion (AD) has been investigated to verify the efficacy of several pretreatment processes. Three types of waste with different carbon structures have been tested to obtain an extensive representation of the behavior of the materials present in Organic Waste (OW). The following types of waste were selected: Sweet Product Residue (SPR), i.e., confectionary residue removed from the market after the expiration date, Organic Waste Market (OWM) refuse from a local fruit and vegetable market, and Coffee Seed Skin (CSS) waste from a coffee production plant. Several pretreatment processes have been applied, including physical, chemical, thermal, and ultrasonic processes and a combination of these processes. Two methods have been used for the SPR to remove the packaging, manual (SPR) and mechanical (SPRex). A pilot plant that is able to extrude the refuse to 200atm was utilized. Two parameters have been used to score the different pretreatment processes: efficiency (ξ), which takes into account the amount of energy produced in the form of hydrogen compared with the available energy embedded in the refuse, and efficacy (η), which compares the efficiency obtained using the pretreated refuse with that obtained using the untreated refuse. The best result obtained for the SPR was the basic pretreatment, with η=6.4, whereas the thermal basic pretreatment gave the highest value, η=17.0 for SPRex. The best result for the OWM was obtained through a combination of basic/thermal pretreatments with η=9.9; lastly, the CSS residue with ultrasonic pretreatment produced the highest quantity of hydrogen, η=5.2. Copyright © 2013 Elsevier Ltd. All rights reserved.

  19. Segmentation and accuracy-based scores for the automatic assessment of oral proficiency for proficient L2 speakers

    CSIR Research Space (South Africa)

    De Wet, Febe

    2010-11-01

    Full Text Available . Results indicate that, both for segmentation as well as accuracy-based scores, the most simple scores correlate best with the humans’ opinion on the students’ proficiency. Combining different scores using multiple linear regression leads to marginally...

  20. Effects of prepartal body condition score and peripartal energy supply of dairy cows on postpartal lipolysis, energy balance and ketogenesis: an animal model to investigate subclinical ketosis.

    Science.gov (United States)

    Schulz, Kirsten; Frahm, Jana; Meyer, Ulrich; Kersten, Susanne; Reiche, Dania; Rehage, Jürgen; Dänicke, Sven

    2014-08-01

    Subclinical ketosis is a metabolic disorder which often goes undiagnosed and leads to constricted performance and an impairment of general condition. In the current study subclinical ketosis was characterised by a β-hydroxybutyrate (BHB) concentration of >1·2 mmol/l in blood serum. To generate this metabolic situation, an animal model was created. The model, based on group-specific interaction of dietary energy supply and body condition, is appropriate for testing the medical effectiveness of treating this kind of ketosis and its concomitants. During the trial, 18 dairy cows (primiparous and pluriparous) were assigned, according to their body condition score (BCS) 6 weeks before expected parturition, to a normal [6.78 MJ net energy for lactation (NEL)/kg dry matter; 20% concentrate] or to a high-energy feeding group (7·71 MJ NEL/kg dry matter; 60% concentrate). Therefore cows with the highest BCS were allocated to the high-energy group to enhance the contrast with the control group. Statistical analysis was done using the MIXED procedure of SAS. Effects were declared significant when P-values were ⩽0.05. Owing to the higher energy concentration and dry matter intake, the energy intake and balance was significantly higher in the high-energy feeding group, with strong effects on lipid metabolism and health in blood and liver post partum. Within the first 2 weeks after calving, 8 out of 9 cows (89%) of the high-energy group had BHB values indicative of subclinical ketosis. These cows also had significantly higher values of non-esterified fatty acids (NEFA), aspartate transaminase (AST) and glutamate dehydrogenase (GLDH) post partum, as well as a raised total lipid content of the liver. RQUICKI, a calculated parameter which is based on serum concentrations of glucose, insulin and NEFA to assess the insulin sensitivity, was not affected by treatment. Therefore, RQUICKI does not seem to be the right parameter for diagnosing decreased insulin sensitivity in cows

  1. Energy data base: subject thesaurus

    International Nuclear Information System (INIS)

    Redford, J.S.

    1981-10-01

    The technical staff of the DOE Technical Information Center, during its subject indexing activities, develops and structures a vocabulary that allows consistent machine storage and retrieval of information necessary to the accomplishment of the DOE mission. This thesaurus incorporates that structured vocabulary. The terminology of this thesaurus is used for the subject control of information announced in DOE Energy Research Abstracts, Energy Abstracts for Policy Analysis, and various update journals and bulletins in specialized areas. This terminology also facilitates subject searching of the DOE Energy Data Base on the DOE/RECON on-line retrieval system and on other commercial retrieval systems. The rapid expansion of the DOE's activities will result in a commitant thesaurus expansion as information relating to new activities is indexed. Only the terms used in the indexing of documents at the Technical Information Center to date are included

  2. Machine Learning Consensus Scoring Improves Performance Across Targets in Structure-Based Virtual Screening.

    Science.gov (United States)

    Ericksen, Spencer S; Wu, Haozhen; Zhang, Huikun; Michael, Lauren A; Newton, Michael A; Hoffmann, F Michael; Wildman, Scott A

    2017-07-24

    In structure-based virtual screening, compound ranking through a consensus of scores from a variety of docking programs or scoring functions, rather than ranking by scores from a single program, provides better predictive performance and reduces target performance variability. Here we compare traditional consensus scoring methods with a novel, unsupervised gradient boosting approach. We also observed increased score variation among active ligands and developed a statistical mixture model consensus score based on combining score means and variances. To evaluate performance, we used the common performance metrics ROCAUC and EF1 on 21 benchmark targets from DUD-E. Traditional consensus methods, such as taking the mean of quantile normalized docking scores, outperformed individual docking methods and are more robust to target variation. The mixture model and gradient boosting provided further improvements over the traditional consensus methods. These methods are readily applicable to new targets in academic research and overcome the potentially poor performance of using a single docking method on a new target.

  3. Micromotor-based energy generation.

    Science.gov (United States)

    Singh, Virendra V; Soto, Fernando; Kaufmann, Kevin; Wang, Joseph

    2015-06-01

    A micromotor-based strategy for energy generation, utilizing the conversion of liquid-phase hydrogen to usable hydrogen gas (H2), is described. The new motion-based H2-generation concept relies on the movement of Pt-black/Ti Janus microparticle motors in a solution of sodium borohydride (NaBH4) fuel. This is the first report of using NaBH4 for powering micromotors. The autonomous motion of these catalytic micromotors, as well as their bubble generation, leads to enhanced mixing and transport of NaBH4 towards the Pt-black catalytic surface (compared to static microparticles or films), and hence to a substantially faster rate of H2 production. The practical utility of these micromotors is illustrated by powering a hydrogen-oxygen fuel cell car by an on-board motion-based hydrogen and oxygen generation. The new micromotor approach paves the way for the development of efficient on-site energy generation for powering external devices or meeting growing demands on the energy grid. © 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

  4. An entropy-based improved k-top scoring pairs (TSP) method for ...

    African Journals Online (AJOL)

    An entropy-based improved k-top scoring pairs (TSP) (Ik-TSP) method was presented in this study for the classification and prediction of human cancers based on gene-expression data. We compared Ik-TSP classifiers with 5 different machine learning methods and the k-TSP method based on 3 different feature selection ...

  5. A New, Improved Hybrid Scoring Function for Molecular Docking and Scoring Based on AutoDock and AutoDock Vina.

    Science.gov (United States)

    Tanchuk, Vsevolod Yu; Tanin, Volodymyr O; Vovk, Andriy I; Poda, Gennady

    2016-04-01

    Automated docking is one of the most important tools for structure-based drug design that allows prediction of ligand binding poses and also provides an estimate of how well small molecules fit in the binding site of a protein. A new scoring function based on AutoDock and AutoDock Vina has been introduced. The new hybrid scoring function is a linear combination of the two scoring function components derived from a multiple linear regression fitting procedure. The scoring function was built on a training set of 2412 protein-ligand complexes from pdbbind database (www.pdbbind.org.cn, version 2012). A test set of 313 complexes that appeared in the 2013 version was used for validation purposes. The new hybrid scoring function performed better than the original functions, both on training and test sets of protein-ligand complexes, as measured by the non-parametric Pearson correlation coefficient, R, mean absolute error (MAE), and root-mean-square error (RMSE) between the experimental binding affinities and the docking scores. The function also gave one of the best results among more than 20 scoring functions tested on the core set of the pdbbind database. The new AutoDock hybrid scoring function will be implemented in modified version of AutoDock. © 2015 John Wiley & Sons A/S.

  6. Fuzzy logic-based prognostic score for outcome prediction in esophageal cancer.

    Science.gov (United States)

    Wang, Chang-Yu; Lee, Tsair-Fwu; Fang, Chun-Hsiung; Chou, Jyh-Horng

    2012-11-01

    Given the poor prognosis of esophageal cancer and the invasiveness of combined modality treatment, improved prognostic scoring systems are needed. We developed a fuzzy logic-based system to improve the predictive performance of a risk score based on the serum concentrations of C-reactive protein (CRP) and albumin in a cohort of 271 patients with esophageal cancer before radiotherapy. Univariate and multivariate survival analyses were employed to validate the independent prognostic value of the fuzzy risk score. To further compare the predictive performance of the fuzzy risk score with other prognostic scoring systems, time-dependent receiver operating characteristic curve (ROC) analysis was used. Application of fuzzy logic to the serum values of CRP and albumin increased predictive performance for 1-year overall survival (AUC=0.773) compared with that of a single marker (AUC=0.743 and 0.700 for CRP and albumin, respectively), where the AUC denotes the area under curve. This fuzzy logic-based approach also performed consistently better than the Glasgow Prognostic Score (GPS) (AUC=0.745). Thus, application of fuzzy logic to the analysis of serum markers can more accurately predict the outcome for patients with esophageal cancer.

  7. Competency based training in robotic surgery: benchmark scores for virtual reality robotic simulation.

    Science.gov (United States)

    Raison, Nicholas; Ahmed, Kamran; Fossati, Nicola; Buffi, Nicolò; Mottrie, Alexandre; Dasgupta, Prokar; Van Der Poel, Henk

    2017-05-01

    To develop benchmark scores of competency for use within a competency based virtual reality (VR) robotic training curriculum. This longitudinal, observational study analysed results from nine European Association of Urology hands-on-training courses in VR simulation. In all, 223 participants ranging from novice to expert robotic surgeons completed 1565 exercises. Competency was set at 75% of the mean expert score. Benchmark scores for all general performance metrics generated by the simulator were calculated. Assessment exercises were selected by expert consensus and through learning-curve analysis. Three basic skill and two advanced skill exercises were identified. Benchmark scores based on expert performance offered viable targets for novice and intermediate trainees in robotic surgery. Novice participants met the competency standards for most basic skill exercises; however, advanced exercises were significantly more challenging. Intermediate participants performed better across the seven metrics but still did not achieve the benchmark standard in the more difficult exercises. Benchmark scores derived from expert performances offer relevant and challenging scores for trainees to achieve during VR simulation training. Objective feedback allows both participants and trainers to monitor educational progress and ensures that training remains effective. Furthermore, the well-defined goals set through benchmarking offer clear targets for trainees and enable training to move to a more efficient competency based curriculum. © 2016 The Authors BJU International © 2016 BJU International Published by John Wiley & Sons Ltd.

  8. 78 FR 9042 - Request for Information (RFI) for Commercial Building Energy Asset Score

    Science.gov (United States)

    2013-02-07

    ... well as conduct additional analysis to inform future program development. Future development of the... publicly or use the score for transactional purposes obtain an advanced report, which requires completion...

  9. Development of a food-based diet quality score for Japanese: associations of the score with nutrient intakes in young, middle-aged and older Japanese women.

    Science.gov (United States)

    Kuriyama, Nozomi; Murakami, Kentaro; Livingstone, M Barbara E; Okubo, Hitomi; Kobayashi, Satomi; Suga, Hitomi; Sasaki, Satoshi

    2016-01-01

    Several previous studies have shown that a diet score based on the Japanese food guide Spinning Top (the original score) is associated with both favourable and unfavourable dietary intake patterns. We developed a food-based diet quality score (the modified score) and examined associations with nutrient intakes. Subjects were 3963 young (all aged 18 years), 3800 middle-aged (mean age 47·7 (sd 3·9) years) and 2211 older (mean age 74·4 (sd 5·2) years) Japanese women. Dietary intakes were assessed using comprehensive (for the young and middle-aged) and brief-type (for the older) diet history questionnaires. The original score was calculated based on intakes of grains, vegetables, fish/meat, milk, fruits, and snacks/alcoholic beverages. The modified score was similarly calculated, but included Na from seasonings and without applying the upper cut-off values for dietary components where increased consumption is advocated for Japanese women (grains, vegetables, fish/meat, milk, and fruits). The original score was positively associated with intakes of carbohydrate, dietary fibre, and all the vitamins and minerals examined including Na and inversely with intakes of fats and alcohol in young and middle-aged women. In older women, the original score was inversely associated with intakes of all nutrients except for carbohydrate and vitamin C. However, the modified score was associated positively with intakes of protein, carbohydrate, dietary fibre, K, Ca, Mg, Fe, vitamins A, C and E, and folate and inversely with intakes of fats, alcohol and Na in all generations. In conclusion, the modified diet score was positively associated with favourable nutrient intake patterns in Japanese women.

  10. Food-based diet quality score in relation to depressive symptoms in young and middle-aged Japanese women.

    Science.gov (United States)

    Sakai, Hiroka; Murakami, Kentaro; Kobayashi, Satomi; Suga, Hitomi; Sasaki, Satoshi

    2017-06-01

    Only a few studies have focused on the association between overall diet, rather than intakes of individual nutrients or foods, and depressive symptoms in Japanese. This cross-sectional study examined associations between a diet quality score and depressive symptoms in 3963 young (age 18 years) and 3833 middle-aged (mean age 47·9 (sd 4·2) years) Japanese women. Dietary information was collected using a diet history questionnaire. A previously developed diet quality score was computed mainly based on the Japanese Food Guide Spinning Top. The prevalence of depressive symptoms was 22·0 % for young women and 16·8 % for middle-aged women, assessed as a Center for Epidemiologic Studies Depression (CES-D) score ≥23 and ≥19, respectively. As expected, the diet quality score was associated positively with intakes of 'grain dishes', 'vegetable dishes', 'fish and meat dishes', 'milk' and 'fruits' and inversely with intakes of energy from 'snacks, confection and beverages' and Na from seasonings. After adjustment for potential confounders, OR for depressive symptoms in the highest v. lowest quintiles of the diet quality score was 0·65 (95 % CI 0·50, 0·84) in young women (P for trend=0·0005). In middle-aged women, the corresponding value was 0·59 (95 % CI 0·45, 0·78) (P for trenddiet quality and CES-D scores were treated as continuous variables also showed inverse associations. In conclusion, this cross-sectional study showed that a higher diet quality score was associated with a lower prevalence of depressive symptoms in young and middle-aged Japanese women. Prospective studies are needed to confirm a public health relevance of this finding.

  11. WebRASP: a server for computing energy scores to assess the accuracy and stability of RNA 3D structures.

    Science.gov (United States)

    Norambuena, Tomas; Cares, Jorge F; Capriotti, Emidio; Melo, Francisco

    2013-10-15

    The understanding of the biological role of RNA molecules has changed. Although it is widely accepted that RNAs play important regulatory roles without necessarily coding for proteins, the functions of many of these non-coding RNAs are unknown. Thus, determining or modeling the 3D structure of RNA molecules as well as assessing their accuracy and stability has become of great importance for characterizing their functional activity. Here, we introduce a new web application, WebRASP, that uses knowledge-based potentials for scoring RNA structures based on distance-dependent pairwise atomic interactions. This web server allows the users to upload a structure in PDB format, select several options to visualize the structure and calculate the energy profile. The server contains online help, tutorials and links to other related resources. We believe this server will be a useful tool for predicting and assessing the quality of RNA 3D structures. The web server is available at http://melolab.org/webrasp. It has been tested on the most popular web browsers and requires Java plugin for Jmol visualization.

  12. Liver stiffness measurement-based scoring system for significant inflammation related to chronic hepatitis B.

    Directory of Open Access Journals (Sweden)

    Mei-Zhu Hong

    Full Text Available Liver biopsy is indispensable because liver stiffness measurement alone cannot provide information on intrahepatic inflammation. However, the presence of fibrosis highly correlates with inflammation. We constructed a noninvasive model to determine significant inflammation in chronic hepatitis B patients by using liver stiffness measurement and serum markers.The training set included chronic hepatitis B patients (n = 327, and the validation set included 106 patients; liver biopsies were performed, liver histology was scored, and serum markers were investigated. All patients underwent liver stiffness measurement.An inflammation activity scoring system for significant inflammation was constructed. In the training set, the area under the curve, sensitivity, and specificity of the fibrosis-based activity score were 0.964, 91.9%, and 90.8% in the HBeAg(+ patients and 0.978, 85.0%, and 94.0% in the HBeAg(- patients, respectively. In the validation set, the area under the curve, sensitivity, and specificity of the fibrosis-based activity score were 0.971, 90.5%, and 92.5% in the HBeAg(+ patients and 0.977, 95.2%, and 95.8% in the HBeAg(- patients. The liver stiffness measurement-based activity score was comparable to that of the fibrosis-based activity score in both HBeAg(+ and HBeAg(- patients for recognizing significant inflammation (G ≥3.Significant inflammation can be accurately predicted by this novel method. The liver stiffness measurement-based scoring system can be used without the aid of computers and provides a noninvasive alternative for the prediction of chronic hepatitis B-related significant inflammation.

  13. Determining the Scoring Validity of a Co-Constructed CEFR-Based Rating Scale

    Science.gov (United States)

    Deygers, Bart; Van Gorp, Koen

    2015-01-01

    Considering scoring validity as encompassing both reliable rating scale use and valid descriptor interpretation, this study reports on the validation of a CEFR-based scale that was co-constructed and used by novice raters. The research questions this paper wishes to answer are (a) whether it is possible to construct a CEFR-based rating scale with…

  14. An Exploration of the Base Rate Scores of the Millon Clinical Multiaxial Inventory-III

    Science.gov (United States)

    Grove, William M.; Vrieze, Scott I.

    2009-01-01

    The Millon Clinical Multiaxial Inventory (3rd ed.; MCMI-III) is a widely used psychological assessment of clinical and personality disorders. Unlike typical tests, the MCMI-III uses a base-rate score transformation to incorporate prior probabilities of disorder (i.e., base rates) in test output and diagnostic thresholds. The authors describe the…

  15. Observed Score Equating Using Discrete and Passage-Based Anchor Items

    Science.gov (United States)

    Zu, Jiyun; Liu, Jinghua

    2010-01-01

    Equating of tests composed of both discrete and passage-based multiple choice items using the nonequivalent groups with anchor test design is popular in practice. In this study, we compared the effect of discrete and passage-based anchor items on observed score equating via simulation. Results suggested that an anchor with a larger proportion of…

  16. Proposal for a new categorization of aseptic processing facilities based on risk assessment scores.

    Science.gov (United States)

    Katayama, Hirohito; Toda, Atsushi; Tokunaga, Yuji; Katoh, Shigeo

    2008-01-01

    Risk assessment of aseptic processing facilities was performed using two published risk assessment tools. Calculated risk scores were compared with experimental test results, including environmental monitoring and media fill run results, in three different types of facilities. The two risk assessment tools used gave a generally similar outcome. However, depending on the tool used, variations were observed in the relative scores between the facilities. For the facility yielding the lowest risk scores, the corresponding experimental test results showed no contamination, indicating that these ordinal testing methods are insufficient to evaluate this kind of facility. A conventional facility having acceptable aseptic processing lines gave relatively high risk scores. The facility showing a rather high risk score demonstrated the usefulness of conventional microbiological test methods. Considering the significant gaps observed in calculated risk scores and in the ordinal microbiological test results between advanced and conventional facilities, we propose a facility categorization based on risk assessment. The most important risk factor in aseptic processing is human intervention. When human intervention is eliminated from the process by advanced hardware design, the aseptic processing facility can be classified into a new risk category that is better suited for assuring sterility based on a new set of criteria rather than on currently used microbiological analysis. To fully benefit from advanced technologies, we propose three risk categories for these aseptic facilities.

  17. Posturography stability score generation for stroke patient using Kinect: Fuzzy based approach.

    Science.gov (United States)

    Mazumder, Oishee; Chakravarty, Kingshuk; Chatterjee, Debatri; Sinha, Aniruddha; Das, Abhijit

    2017-07-01

    Aim of this paper is to formulate a posturography stability score for stroke patients using fuzzy logic. Postural instability is one of the prominent symptoms of stroke, dementia, parkinsons disease, myopathy, etc. and is the major precursor of fall. Conventional scoring techniques used to assess postural stability require manual intervention and are dependent on live interaction with physiotherapist. We propose a novel scoring technique to calculate static stability of a person using posturography features acquired by Kinect sensor, which do not require any manual intervention or expert guidance, is cost effective and hence are ideal for tele rehabilitation purpose. Stability analysis is done during Single Limb Stance (SLS) exercise. Kinect sensor is used to calculate three features, naming SLS duration, vibration index, calculated from mean vibration of twenty joints and sway area of Centre of Mass (CoM). Based on the variation of these features, a fuzzy rule base is generated which calculates a static stability score. One way analysis of variance (Anova) between a group of stroke population and healthy individuals under study validates the reliability of the proposed scorer. Generated fuzzy score are comparable with standard stability scorer like Berg Balance scale and fall risk assessment tool like Johns Hopkins scale. Stability score, besides providing an index of overall stability can also be used as a fall predictability index.

  18. Defining Emergency Department Necessary Policies Based on Clinical Governance Accreditation Scores

    Directory of Open Access Journals (Sweden)

    Mehrdad Esmailian

    2015-05-01

    Full Text Available Introduction: The role of accreditation scheme in quality improvement of emergency departments (ED has not been thoroughly evaluated in studies. Therefore, this study was designed to appraise the effects of policies defined based on clinical governance accreditation scores, on improvement of the procedures in ED. Methods: The present cohort study was carried out in the ED of Alzahra University Hospital, Isfahan, Iran in 2012-2013. In 2012 the deficiencies in ED of this hospital was determined based on clinical governance indicators. Then the deficiencies were classified based on their importance and changes were made in the ED. Finally, the effects of the changes were evaluated in August 2013. Results: The evaluation made in 2012 showed that 23 clinical and non-clinical procedures were carried out with deficiencies. Over the mentioned period, 6 (26.1% procedures were not done at all, while 17 (73.9% were done without a policy and irregularly. The overall score for clinical and non-clinical procedures in the ED before carrying out the accreditation scheme was 43 / 230 (18.7% of the maximum possible score. The score was raised to 222 equal to 96.5% of the maximum possible score after carrying out the scheme. This increase was statistically significant (p < 0.001. Conclusion: The findings of the present study showed that defining policies for improving the procedures carried out in ED based on accreditation scheme leads to improvement of medical services in ED.

  19. The development and evaluation of a new shoulder scoring system based on the view of patients and physicians: the Fudan University shoulder score.

    Science.gov (United States)

    Ge, Yunshen; Chen, Shiyi; Chen, Jiwu; Hua, Yinghui; Li, Yunxia

    2013-04-01

    greater than 0.7. In addition, the intraclass correlation coefficient was greater than 0.9 during a 2-week test-retest interval, indicating high reliability, and the standardized response mean of the new system was greater than that of the other 3 scoring systems, indicating sensitive responsiveness. A new shoulder scoring system has been developed based on patients' and physicians' points of view and worldwide applicability and was verified to be valid, reliable, and responsive. The new scoring system includes a 2-dimensional visual analog scale, night pain subscale, and patient-physician satisfaction scale, which are not included in the existing scoring systems. Level III, development of diagnostic criteria. Copyright © 2013 Arthroscopy Association of North America. Published by Elsevier Inc. All rights reserved.

  20. Energy performance of windows based on the net energy gain

    DEFF Research Database (Denmark)

    Svendsen, Svend; Kragh, Jesper; Laustsen, Jacob Birck

    2005-01-01

    The paper presents a new method to set up energy performance requirements and energy classes for windows of all dimensions and configurations. The net energy gain of windows is the solar gain minus the heat loss integrated over the heating season. The net energy gain can be calculated for one...... orientation or averaged over different orientations. The averaged value may be used for energy labeling of windows of standard size. Requirements in building codes may also be based on the net energy gain instead of the thermal transmittance of the window. The size and the configuration of the window, i.......e. number of glazing units, have a very large effect on the net energy gain. Therefore the energy labeling or the requirements based on the standard size may not give valid information on the energy performance of windows of non-standard size. The paper presents a method to set up requirements and classes...

  1. Measuring energy efficiency: Is energy intensity a good evidence base?

    International Nuclear Information System (INIS)

    Proskuryakova, L.; Kovalev, A.

    2015-01-01

    Highlights: • Energy intensity measure reflects consumption, not energy efficiency. • Thermodynamic indicators should describe energy efficiency at all levels. • These indicators should have no reference to economic or financial parameters. • A set of energy efficiency indicators should satisfy several basic principles. • There are trade-offs between energy efficiency, power and costs. - Abstract: There is a widespread assumption in energy statistics and econometrics that energy intensity and energy efficiency are equivalent measures of energy performance of economies. The paper points to the discrepancy between the engineering concept of energy efficiency and the energy intensity as it is understood in macroeconomic statistics. This double discrepancy concerns definitions (while engineering concept of energy efficiency is based on the thermodynamic definition, energy intensity includes economic measures) and use. With regard to the latter, the authors conclude that energy intensity can only provide indirect and delayed evidence of technological and engineering energy efficiency of energy conversion processes, which entails shortcomings for management and policymaking. Therefore, we suggest to stop considering subsectoral, sectoral and other levels of energy intensities as aggregates of lower-level energy efficiency. It is suggested that the insufficiency of energy intensity indicators can be compensated with the introduction of thermodynamic indicators describing energy efficiency at the physical, technological, enterprise, sub-sector, sectoral and national levels without references to any economic or financial parameters. Structured statistical data on thermodynamic efficiency is offered as a better option for identifying break-through technologies and technological bottle-necks that constrain efficiency advancements. It is also suggested that macro-level thermodynamic indicators should be based on the thermodynamic first law efficiency and the energy

  2. For a rational energy transition based on nuclear energy

    International Nuclear Information System (INIS)

    Chalmin, Philippe

    2014-06-01

    After having recalled the meaning of the concept of energy transition, and stated that this concept is a fuzzy one, this paper addresses the issue of the future of energy through the concept of Energy returned on Energy invested (EROI). It discusses this approach by outlining that energy is the initial driver of economy, and by showing that only hydroelectricity, coal, nuclear and wind energy have a sufficient return rate, and that shale gas is an energy source for the short and medium term. Then, based on data related to world energy resources and consumption, to electric power production from various sources, to pollution health impacts, to electricity prices for industries and for households, it discusses the sustainability of the energy mix regarding energy reserves, health issues, and economic issues. Some examples (Spain, Germany) illustrate economic problems faced by some renewable energies. Finally, the authors outline that, thanks to its nuclear policy, France is the western country which is the most committed in energy transition. Some proposals are made to support nuclear energy, to reduce the use of fossil energies, to launch an ambitious research policy (on energy storage, on photovoltaic energy, on CO 2 hydrogenation, on hydrogen as a fuel), in favour of energy mixes decided at national levels in Europe

  3. MRI-based radiologic scoring system for extent of brain injury in children with hemiplegia.

    Science.gov (United States)

    Shiran, S I; Weinstein, M; Sirota-Cohen, C; Myers, V; Ben Bashat, D; Fattal-Valevski, A; Green, D; Schertz, M

    2014-12-01

    Brain MR imaging is recommended in children with cerebral palsy. Descriptions of MR imaging findings lack uniformity, due to the absence of a validated quantitative approach. We developed a quantitative scoring method for brain injury based on anatomic MR imaging and examined the reliability and validity in correlation to motor function in children with hemiplegia. Twenty-seven children with hemiplegia underwent MR imaging (T1, T2-weighted sequences, DTI) and motor assessment (Manual Ability Classification System, Gross Motor Functional Classification System, Assisting Hand Assessment, Jebsen Taylor Test of Hand Function, and Children's Hand Experience Questionnaire). A scoring system devised in our center was applied to all scans. Radiologic score covered 4 domains: number of affected lobes, volume and type of white matter injury, extent of gray matter damage, and major white matter tract injury. Inter- and intrarater reliability was evaluated and the relationship between radiologic score and motor assessments determined. Mean total radiologic score was 11.3 ± 4.5 (range 4-18). Good inter- (ρ = 0.909, P classification systems (ρ = 0.708, P high inter- and intrarater reliability and significant associations with manual ability classification systems and motor evaluations. This score provides a standardized radiologic assessment of brain injury extent in hemiplegic patients with predominantly unilateral injury, allowing comparison between groups, and providing an additional tool for counseling families. © 2014 by American Journal of Neuroradiology.

  4. Standardized computer-based organized reporting of EEG SCORE - Second version

    DEFF Research Database (Denmark)

    Beniczky, Sándor; Aurlien, Harald; Brøgger, Jan C

    2017-01-01

    are used to report the features of clinical relevance, extracted while assessing the EEGs. Selection of the terms is context sensitive: initial choices determine the subsequently presented sets of additional choices. This process automatically generates a report and feeds these features into a database......Standardized terminology for computer-based assessment and reporting of EEG has been previously developed in Europe. The International Federation of Clinical Neurophysiology established a taskforce in 2013 to develop this further, and to reach international consensus. This work resulted...... in the second, revised version of SCORE (Standardized Computer-based Organized Reporting of EEG), which is presented in this paper. The revised terminology was implemented in a software package (SCORE EEG), which was tested in clinical practice on 12,160 EEG recordings. Standardized terms implemented in SCORE...

  5. A Comparison of Systemic Inflammation-Based Prognostic Scores in Patients on Regular Hemodialysis

    Directory of Open Access Journals (Sweden)

    Akihiko Kato

    2013-10-01

    Full Text Available Background/Aims: Systemic inflammation-based prognostic scores have prognostic power in patients with cancer, independently of tumor stage and site. Although inflammatory status is associated with mortality in hemodialysis (HD patients, it remains to be determined as to whether these composite scores are useful in predicting clinical outcomes. Methods: We calculated the 6 prognostic scores [Glasgow prognostic score (GPS, modified GPS (mGPS, neutrophil-lymphocyte ratio (NLR, platelet lymphocyte ratio (PLR, prognostic index (PI and prognostic nutritional index (PNI], which have been established as a useful scoring system in cancer patients. We enrolled 339 patients on regular HD (age: 64 ± 13 years; time on HD: 129 ± 114 months; males/females = 253/85 and followed them for 42 months. The area under the receiver-operating characteristics curve was used to determine which scoring system was more predictive of mortality. Results: Elevated GPS, mGPS, NLR, PLR, PI and PNI were all associated with total mortality, independent of covariates. If GPS was raised, mGPS, NLR, PLR and PI were also predictive of all-cause mortality and/or hospitalization. GPS and PNI were associated with poor nutritional status. Using overall mortality as an endpoint, the area under the curve (AUC was significant for a GPS of 0.701 (95% CI: 0.637-0.765; p Conclusion: GPS, based on serum albumin and highly sensitive C-reactive protein, has the most prognostic power for mortality prediction among the prognostic scores in HD patients. However, as the determination of serum albumin reflects mortality similarly to GPS, other composite combinations are needed to provide additional clinical utility beyond that of albumin alone in HD patients.

  6. Advanced Fibre Based Energy Storage

    Science.gov (United States)

    Reid, Daniel Oliver

    New energy storage devices are required to enable future technologies. With the rise of wearable consumer and medical devices, a suitable flexible and wearable means of storing electrical energy is required. Fibre-based devices present a possible method of achieving this aim. Fibres are inherently more flexible than their bulk counterparts, and as such can be employed to form the electrodes of flexible batteries and capacitors. They also present a facile possibility for incorporation into many fabrics and clothes, further boosting their potential for use in wearable devices. Electrically conducting fibres were produced from a dispersion of carbon nanomaterials in a room temperature ionic liquid. Coagulation of this dispersion was achieved through manual injection into aqueous solutions of xanthan gum. The limitations of this method are highlighted by very low ultimate tensile strengths of these fibres, in the order of 3 MPa, with high variation within all of the fibres. Fibres were also produced via scrolling of bi-component films containing poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) and poly(vinyl alcohol) (PVA). Chemical treatments were employed to impart water compatibility to these fibres, and their electrochemical, physical and electrical properties were analysed. Fibres were wet spun from two PEDOT:PSS sources, in several fibre diameters. The effect of chemical treatments on the fibres were investigated and compared. Short 5 min treatment times with dimethyl sulfoxide (DMSO) on 20 mum fibres produced from Clevios PH1000 were found to produce the best overall treatment. Up to a six-fold increase in electrical conductivity resulted, reaching 800 S cm-1, with up to 40 % increase in specific capacitance and no loss of mechanical strength (55 F g-1 and 150 MPa recorded). A wet spinning system to produce PEDOT:PSS fibres containing functionalised graphenes and carbon nanotubes, as well as birnessite nanotubes was subsequently developed

  7. Workplace-based assessments of junior doctors: do scores predict training difficulties?

    Science.gov (United States)

    Mitchell, Colin; Bhat, Sarita; Herbert, Anne; Baker, Paul

    2011-12-01

    Workplace-based assessment (WPBA) is an increasingly important part of postgraduate medical training and its results may be used as evidence of professional competence. This study evaluates the ability of WPBA to distinguish UK Foundation Programme (FP) doctors with training difficulties and its effectiveness as a surrogate marker for deficiencies in professional competence. We conducted a retrospective observational study using anonymised records for 1646 trainees in a single UK postgraduate deanery. Data for WPBAs conducted from August 2005 to April 2009 were extracted from the e-portfolio database. These data included all scores submitted by trainees in FP years 1 and 2 on mini-clinical evaluation exercise (mini-CEX), case-based discussion (CbD), direct observation of procedural skills (DOPS) and mini-peer assessment tool (mini-PAT) assessments. Records of trainees in difficulty, as identified by their educational supervisors, were tagged as index cases. Main outcome measures were odds ratios (ORs) for associations between mean WPBA scores and training difficulties. Further analyses by the reported aetiology of the training difficulty (health-, conduct- or performance-related) were performed. Of the 1646 trainees, 92 had been identified as being in difficulty. Mean CbD and mini-CEX scores were lower for trainees in difficulty and an association was found between identified training difficulties and average scores on the mini-CEX (OR = 0.54; p = 0.034) and CbD (OR = 0.39; p = 0.002). A receiver operator characteristic curve analysis of mean WPBA scores for diagnosing 'in difficulty' status yielded an area under the curve of 0.64, indicating weak predictive value. There was no statistical evidence that mean scores on DOPS and mini-PAT assessments differed between the two groups. Analysis of a large dataset of WPBA scores revealed significant associations between training difficulties and lower mean scores on both the mini-CEX and CbD. Models show that using WPBA

  8. A urinary biomarker-based risk score correlates with multiparametric MRI for prostate cancer detection.

    Science.gov (United States)

    Hendriks, Rianne J; van der Leest, Marloes M G; Dijkstra, Siebren; Barentsz, Jelle O; Van Criekinge, Wim; Hulsbergen-van de Kaa, Christina A; Schalken, Jack A; Mulders, Peter F A; van Oort, Inge M

    2017-10-01

    Prostate cancer (PCa) diagnostics would greatly benefit from more accurate, non-invasive techniques for the detection of clinically significant disease, leading to a reduction of over-diagnosis and over-treatment. The aim of this study was to determine the association between a novel urinary biomarker-based risk score (SelectMDx), multiparametric MRI (mpMRI) outcomes, and biopsy results for PCa detection. This retrospective observational study used data from the validation study of the SelectMDx score, in which urine was collected after digital rectal examination from men undergoing prostate biopsies. A subset of these patients also underwent a mpMRI scan of the prostate. The indications for performing mpMRI were based on persistent clinical suspicion of PCa or local staging after PCa was found upon biopsy. All mpMRI images were centrally reviewed in 2016 by an experienced radiologist blinded for the urine test results and biopsy outcome. The PI-RADS version 2 was used. In total, 172 patients were included for analysis. Hundred (58%) patients had PCa detected upon prostate biopsy, of which 52 (52%) had high-grade disease correlated with a significantly higher SelectMDx score (P < 0.01). The median SelectMDx score was significantly higher in patients with a suspicious significant lesion on mpMRI compared to no suspicion of significant PCa (P < 0.01). For the prediction of mpMRI outcome, the area-under-the-curve of SelectMDx was 0.83 compared to 0.66 for PSA and 0.65 for PCA3. There was a positive association between SelectMDx score and the final PI-RADS grade. There was a statistically significant difference in SelectMDx score between PI-RADS 3 and 4 (P < 0.01) and between PI-RADS 4 and 5 (P < 0.01). The novel urinary biomarker-based SelectMDx score is a promising tool in PCa detection. This study showed promising results regarding the correlation between the SelectMDx score and mpMRI outcomes, outperforming PCA3. Our results suggest that this risk

  9. Estimating Phred scores of Illumina base calls by logistic regression and sparse modeling.

    Science.gov (United States)

    Zhang, Sheng; Wang, Bo; Wan, Lin; Li, Lei M

    2017-07-11

    Phred quality scores are essential for downstream DNA analysis such as SNP detection and DNA assembly. Thus a valid model to define them is indispensable for any base-calling software. Recently, we developed the base-caller 3Dec for Illumina sequencing platforms, which reduces base-calling errors by 44-69% compared to the existing ones. However, the model to predict its quality scores has not been fully investigated yet. In this study, we used logistic regression models to evaluate quality scores from predictive features, which include different aspects of the sequencing signals as well as local DNA contents. Sparse models were further obtained by three methods: the backward deletion with either AIC or BIC and the L 1 regularization learning method. The L 1 -regularized one was then compared with the Illumina scoring method. The L 1 -regularized logistic regression improves the empirical discrimination power by as large as 14 and 25% respectively for two kinds of preprocessed sequencing signals, compared to the Illumina scoring method. Namely, the L 1 method identifies more base calls of high fidelity. Computationally, the L 1 method can handle large dataset and is efficient enough for daily sequencing. Meanwhile, the logistic model resulted from BIC is more interpretable. The modeling suggested that the most prominent quenching pattern in the current chemistry of Illumina occurred at the dinucleotide "GT". Besides, nucleotides were more likely to be miscalled as the previous bases if the preceding ones were not "G". It suggested that the phasing effect of bases after "G" was somewhat different from those after other nucleotide types.

  10. Use of Automated Scoring Features to Generate Hypotheses Regarding Language-Based DIF

    Science.gov (United States)

    Shermis, Mark D.; Mao, Liyang; Mulholland, Matthew; Kieftenbeld, Vincent

    2017-01-01

    This study uses the feature sets employed by two automated scoring engines to determine if a "linguistic profile" could be formulated that would help identify items that are likely to exhibit differential item functioning (DIF) based on linguistic features. Sixteen items were administered to 1200 students where demographic information…

  11. Software-Based Scoring and Sound Design: An Introductory Guide for Music Technology Instruction

    Science.gov (United States)

    Walzer, Daniel A.

    2016-01-01

    This article explores the creative function of virtual instruments, sequencers, loops, and software-based synthesizers to introduce basic scoring and sound design concepts for visual media in an introductory music technology course. Using digital audio workstations with user-focused and configurable options, novice composers can hone a broad range…

  12. Psoriasis image representation using patch-based dictionary learning for erythema severity scoring.

    Science.gov (United States)

    George, Yasmeen; Aldeen, Mohammad; Garnavi, Rahil

    2018-02-23

    Psoriasis is a chronic skin disease which can be life-threatening. Accurate severity scoring helps dermatologists to decide on the treatment. In this paper, we present a semi-supervised computer-aided system for automatic erythema severity scoring in psoriasis images. Firstly, the unsupervised stage includes a novel image representation method. We construct a dictionary, which is then used in the sparse representation for local feature extraction. To acquire the final image representation vector, an aggregation method is exploited over the local features. Secondly, the supervised phase is where various multi-class machine learning (ML) classifiers are trained for erythema severity scoring. Finally, we compare the proposed system with two popular unsupervised feature extractor methods, namely: bag of visual words model (BoVWs) and AlexNet pretrained model. Root mean square error (RMSE) and F1 score are used as performance measures for the learned dictionaries and the trained ML models, respectively. A psoriasis image set consisting of 676 images, is used in this study. Experimental results demonstrate that the use of the proposed procedure can provide a setup where erythema scoring is accurate and consistent. Also, it is revealed that dictionaries with large number of atoms and small patch sizes yield the best representative erythema severity features. Further, random forest (RF) outperforms other classifiers with F1 score 0.71, followed by support vector machine (SVM) and boosting with 0.66 and 0.64 scores, respectively. Furthermore, the conducted comparative studies confirm the effectiveness of the proposed approach with improvement of 9% and 12% over BoVWs and AlexNet based features, respectively. Crown Copyright © 2018. Published by Elsevier Ltd. All rights reserved.

  13. Generalisability theory analyses of concept mapping assessment scores in a problem-based medical curriculum.

    Science.gov (United States)

    Kassab, Salah E; Fida, Mariam; Radwan, Ahmed; Hassan, Adla B; Abu-Hijleh, Marwan; O'Connor, Brian P

    2016-07-01

    In problem-based learning (PBL), students construct concept maps that integrate different concepts related to the PBL case and are guided by the learning needs generated in small-group tutorials. Although an instrument to measure students' concept maps in PBL programmes has been developed, the psychometric properties of this instrument have not yet been assessed. This study evaluated the generalisability of and sources of variance in medical students' concept map assessment scores in a PBL context. Medical students (Year 4, n = 116) were asked to construct three integrated concept maps in which the content domain of each map was to be focused on a PBL clinical case. Concept maps were independently evaluated by four raters based on five criteria: valid selection of concepts; hierarchical arrangement of concepts; degree of integration; relationship to the context of the problem, and degree of student creativity. Generalisability theory was used to compute the reliability of the concept map scores. The dependability coefficient, which indicates the reliability of scores across the measured facets for making absolute decisions, was 0.814. Students' concept map scores (universe scores) accounted for the largest proportion of total variance (47%) across all score comparisons. Rater differences accounted for 10% of total variance, and the student × rater interaction accounted for 25% of total variance. The variance attributable to differences in the content domain of the maps was negligible (2%). The remaining 16% of the variance reflected unexplained sources of error. Results from the D study suggested that a dependability level of 0.80 can be achieved by using three raters who each score two concept map domains, or by using five raters who each score only one concept map domain. This study demonstrated that concept mapping assessment scores of medical students in PBL have high reliability. Results suggested that greater improvements in dependability might be made

  14. Assessing pediatric ileocolonic Crohn's disease activity based on global MR enterography scores

    Energy Technology Data Exchange (ETDEWEB)

    Pomerri, Fabio; Zuliani, Monica; Giorgi, Benedetta; Muzzio, Pier Carlo [University of Padova, Department of Medicine-DIMED, Padova (Italy); Al Bunni, Faise [Rovigo Hospital, Radiology Unit, S. Maria della Misericordia, Rovigo (Italy); Guariso, Graziella; Gasparetto, Marco; Cananzi, Mara [University of Padova, Department of Women and Child Health, Padova (Italy)

    2017-03-15

    This study was aimed at correlating a magnetic resonance index of activity (MaRIA) and a magnetic resonance enterography global score (MEGS) with activity indexes in a paediatric population with Crohn's disease (CD). This retrospective study included 32 paediatric patients (median age 14.5 years, 18 male) with proven CD who underwent magnetic resonance enterography (MRE). A correlation analysis was performed on the MRE-based scores, the simplified endoscopic score for CD (SES-CD), the paediatric Crohn's disease activity index (PCDAI), and C-reactive protein (CRP) levels. Based on PCDAI, comparison of both global MaRIA and MEGS was made between patients with mild and moderate/severe disease activity. Global MaRIA correlated with SES-CD (r = 0.70, p = 0.001) and PCDAI (r = 0.42, p = 0.016). MEGS correlated with PCDAI (r = 0.46, p = 0.007) and CRP levels (r = 0.35, p = 0.046). MEGS differed significantly (p = 0.027) between patients grouped by clinical disease severity. MRE-based global scores correlated with clinical indexes of CD activity. Therefore, they represent a potential useful tool to predict CD activity and severity, as well as a possible promising alternative to endoscopy, to monitor paediatric patients with CD during their follow-up. (orig.)

  15. Web-based training and interrater reliability testing for scoring the Hamilton Depression Rating Scale.

    Science.gov (United States)

    Rosen, Jules; Mulsant, Benoit H; Marino, Patricia; Groening, Christopher; Young, Robert C; Fox, Debra

    2008-10-30

    Despite the importance of establishing shared scoring conventions and assessing interrater reliability in clinical trials in psychiatry, these elements are often overlooked. Obstacles to rater training and reliability testing include logistic difficulties in providing live training sessions, or mailing videotapes of patients to multiple sites and collecting the data for analysis. To address some of these obstacles, a web-based interactive video system was developed. It uses actors of diverse ages, gender and race to train raters how to score the Hamilton Depression Rating Scale and to assess interrater reliability. This system was tested with a group of experienced and novice raters within a single site. It was subsequently used to train raters of a federally funded multi-center clinical trial on scoring conventions and to test their interrater reliability. The advantages and limitations of using interactive video technology to improve the quality of clinical trials are discussed.

  16. Longitudinal score prediction for Alzheimer's disease based on ensemble correntropy and spatial-temporal constraint.

    Science.gov (United States)

    Lei, Baiying; Hou, Wen; Zou, Wenbin; Li, Xia; Zhang, Cishen; Wang, Tianfu

    2018-03-26

    Neuroimaging data has been widely used to predict clinical scores for automatic diagnosis of Alzheimer's disease (AD). For accurate clinical score prediction, one of the major challenges is high feature dimension of the imaging data. To address this issue, this paper presents an effective framework using a novel feature selection model via sparse learning. In contrast to previous approaches focusing on a single time point, this framework uses information at multiple time points. Specifically, a regularized correntropy with the spatial-temporal constraint is used to reduce the adverse effect of noise and outliers, and promote consistent and robust selection of features by exploring data characteristics. Furthermore, ensemble learning of support vector regression (SVR) is exploited to accurately predict AD scores based on the selected features. The proposed approach is extensively evaluated on the Alzheimer's disease neuroimaging initiative (ADNI) dataset. Our experiments demonstrate that the proposed approach not only achieves promising regression accuracy, but also successfully recognizes disease-related biomarkers.

  17. A robust gene expression-based prognostic risk score predicts overall survival of lung adenocarcinoma patients.

    Science.gov (United States)

    Chen, En-Guo; Wang, Pin; Lou, Haizhou; Wang, Yunshan; Yan, Hong; Bi, Lei; Liu, Liang; Li, Bin; Snijders, Antoine M; Mao, Jian-Hua; Hang, Bo

    2018-01-23

    Identification of reliable predictive biomarkers and new therapeutic targets is a critical step for significant improvement in patient outcomes. Here, we developed a multi-step bioinformatics analytic strategy to mine large omics and clinical data to build a prognostic scoring system for predicting the overall survival (OS) of lung adenocarcinoma (LuADC) patients. In latter we first identified 1327 significantly and robustly deregulated genes, 600 of which were significantly associated with the OS of LuADC patients. Gene co-expression network analysis revealed the biological functions of these 600 genes in normal lung and LuADCs, which were found to be enriched for cell cycle-related processes, blood vessel development, cell-matrix adhesion and metabolic processes. Finally, we implemented a multiple resampling method combined with Cox regression analysis to identify a 27-gene signature associated with OS, and then created a prognostic scoring system based on this signature. This scoring system robustly predicted OS of LuADC patients in 100 sampling test sets and was further validated in four independent LuADC cohorts. In addition, in comparison to other existing prognostic gene signatures published in the literature, our signature was significantly superior in predicting OS of LuADC patients. In summary, our multi-omics and clinical data integration study created a 27-gene prognostic risk score that can predict OS of LuADC patients independent of age, gender and clinical stage. This score could guide therapeutic selection and allow stratification in clinical trials.

  18. ACCURATUM: improved calcium volume scoring using a mesh-based algorithm - a phantom study

    International Nuclear Information System (INIS)

    Saur, Stefan C.; Szekely, Gabor; Alkadhi, Hatem; Desbiolles, Lotus; Cattin, Philippe C.

    2009-01-01

    To overcome the limitations of the classical volume scoring method for quantifying coronary calcifications, including accuracy, variability between examinations, and dependency on plaque density and acquisition parameters, a mesh-based volume measurement method has been developed. It was evaluated and compared with the classical volume scoring method for accuracy, i.e., the normalized volume (measured volume/ground-truthed volume), and for variability between examinations (standard deviation of accuracy). A cardiac computed-tomography (CT) phantom containing various cylindrical calcifications was scanned using different tube voltages and reconstruction kernels, at various positions and orientations on the CT table and using different slice thicknesses. Mean accuracy for all plaques was significantly higher (p<0.0001) for the proposed method (1.220±0.507) than for the classical volume score (1.896±1.095). In contrast to the classical volume score, plaque density (p=0.84), reconstruction kernel (p=0.19), and tube voltage (p=0.27) had no impact on the accuracy of the developed method. In conclusion, the method presented herein is more accurate than classical calcium scoring and is less dependent on tube voltage, reconstruction kernel, and plaque density. (orig.)

  19. A biomarker-based risk score to predict death in patients with atrial fibrillation: the ABC (age, biomarkers, clinical history) death risk score

    Science.gov (United States)

    Hijazi, Ziad; Oldgren, Jonas; Lindbäck, Johan; Alexander, John H; Connolly, Stuart J; Eikelboom, John W; Ezekowitz, Michael D; Held, Claes; Hylek, Elaine M; Lopes, Renato D; Yusuf, Salim; Granger, Christopher B; Siegbahn, Agneta; Wallentin, Lars

    2018-01-01

    Abstract Aims In atrial fibrillation (AF), mortality remains high despite effective anticoagulation. A model predicting the risk of death in these patients is currently not available. We developed and validated a risk score for death in anticoagulated patients with AF including both clinical information and biomarkers. Methods and results The new risk score was developed and internally validated in 14 611 patients with AF randomized to apixaban vs. warfarin for a median of 1.9 years. External validation was performed in 8548 patients with AF randomized to dabigatran vs. warfarin for 2.0 years. Biomarker samples were obtained at study entry. Variables significantly contributing to the prediction of all-cause mortality were assessed by Cox-regression. Each variable obtained a weight proportional to the model coefficients. There were 1047 all-cause deaths in the derivation and 594 in the validation cohort. The most important predictors of death were N-terminal pro B-type natriuretic peptide, troponin-T, growth differentiation factor-15, age, and heart failure, and these were included in the ABC (Age, Biomarkers, Clinical history)-death risk score. The score was well-calibrated and yielded higher c-indices than a model based on all clinical variables in both the derivation (0.74 vs. 0.68) and validation cohorts (0.74 vs. 0.67). The reduction in mortality with apixaban was most pronounced in patients with a high ABC-death score. Conclusion A new biomarker-based score for predicting risk of death in anticoagulated AF patients was developed, internally and externally validated, and well-calibrated in two large cohorts. The ABC-death risk score performed well and may contribute to overall risk assessment in AF. ClinicalTrials.gov identifier NCT00412984 and NCT00262600 PMID:29069359

  20. A score based on screening tests to differentiate mild cognitive impairment from subjective memory complaints

    Directory of Open Access Journals (Sweden)

    Fábio Henrique de Gobbi Porto

    2013-09-01

    Full Text Available It is not easy to differentiate patients with mild cognitive impairment (MCI from subjective memory complainers (SMC. Assessments with screening cognitive tools are essential, particularly in primary care where most patients are seen. The objective of this study was to evaluate the diagnostic accuracy of screening cognitive tests and to propose a score derived from screening tests. Elderly subjects with memory complaints were evaluated using the Mini Mental State Examination (MMSE and the Brief Cognitive Battery (BCB. We added two delayed recalls in the MMSE (a delayed recall and a late-delayed recall, LDR, and also a phonemic fluency test of letter P fluency (LPF. A score was created based on these tests. The diagnoses were made on the basis of clinical consensus and neuropsychological testing. Receiver operating characteristic curve analyses were used to determine area under the curve (AUC, the sensitivity and specificity for each test separately and for the final proposed score. MMSE, LDR, LPF and delayed recall of BCB scores reach statistically significant differences between groups (P=0.000, 0.03, 0.001 and 0.01, respectively. Sensitivity, specificity and AUC were MMSE: 64%, 79% and 0.75 (cut off <29; LDR: 56%, 62% and 0.62 (cut off <3; LPF: 71%, 71% and 0.71 (cut off <14; delayed recall of BCB: 56%, 82% and 0.68 (cut off <9. The proposed score reached a sensitivity of 88% and 76% and specificity of 62% and 75% for cut off over 1 and over 2, respectively. AUC were 0.81. In conclusion, a score created from screening tests is capable of discriminating MCI from SMC with moderate to good accurancy.

  1. Intelligent query by humming system based on score level fusion of multiple classifiers

    Science.gov (United States)

    Pyo Nam, Gi; Thu Trang Luong, Thi; Ha Nam, Hyun; Ryoung Park, Kang; Park, Sung-Joo

    2011-12-01

    Recently, the necessity for content-based music retrieval that can return results even if a user does not know information such as the title or singer has increased. Query-by-humming (QBH) systems have been introduced to address this need, as they allow the user to simply hum snatches of the tune to find the right song. Even though there have been many studies on QBH, few have combined multiple classifiers based on various fusion methods. Here we propose a new QBH system based on the score level fusion of multiple classifiers. This research is novel in the following three respects: three local classifiers [quantized binary (QB) code-based linear scaling (LS), pitch-based dynamic time warping (DTW), and LS] are employed; local maximum and minimum point-based LS and pitch distribution feature-based LS are used as global classifiers; and the combination of local and global classifiers based on the score level fusion by the PRODUCT rule is used to achieve enhanced matching accuracy. Experimental results with the 2006 MIREX QBSH and 2009 MIR-QBSH corpus databases show that the performance of the proposed method is better than that of single classifier and other fusion methods.

  2. Web-based scoring of the dicentric assay, a collaborative biodosimetric scoring strategy for population triage in large scale radiation accidents.

    Science.gov (United States)

    Romm, H; Ainsbury, E; Bajinskis, A; Barnard, S; Barquinero, J F; Barrios, L; Beinke, C; Puig-Casanovas, R; Deperas-Kaminska, M; Gregoire, E; Oestreicher, U; Lindholm, C; Moquet, J; Rothkamm, K; Sommer, S; Thierens, H; Vral, A; Vandersickel, V; Wojcik, A

    2014-05-01

    In the case of a large scale radiation accident high throughput methods of biological dosimetry for population triage are needed to identify individuals requiring clinical treatment. The dicentric assay performed in web-based scoring mode may be a very suitable technique. Within the MULTIBIODOSE EU FP7 project a network is being established of 8 laboratories with expertise in dose estimations based on the dicentric assay. Here, the manual dicentric assay was tested in a web-based scoring mode. More than 23,000 high resolution images of metaphase spreads (only first mitosis) were captured by four laboratories and established as image galleries on the internet (cloud). The galleries included images of a complete dose effect curve (0-5.0 Gy) and three types of irradiation scenarios simulating acute whole body, partial body and protracted exposure. The blood samples had been irradiated in vitro with gamma rays at the University of Ghent, Belgium. Two laboratories provided image galleries from Fluorescence plus Giemsa stained slides (3 h colcemid) and the image galleries from the other two laboratories contained images from Giemsa stained preparations (24 h colcemid). Each of the 8 participating laboratories analysed 3 dose points of the dose effect curve (scoring 100 cells for each point) and 3 unknown dose points (50 cells) for each of the 3 simulated irradiation scenarios. At first all analyses were performed in a QuickScan Mode without scoring individual chromosomes, followed by conventional scoring (only complete cells, 46 centromeres). The calibration curves obtained using these two scoring methods were very similar, with no significant difference in the linear-quadratic curve coefficients. Analysis of variance showed a significant effect of dose on the yield of dicentrics, but no significant effect of the laboratories, different methods of slide preparation or different incubation times used for colcemid. The results obtained to date within the MULTIBIODOSE

  3. Chi-square-based scoring function for categorization of MEDLINE citations.

    Science.gov (United States)

    Kastrin, A; Peterlin, B; Hristovski, D

    2010-01-01

    Text categorization has been used in biomedical informatics for identifying documents containing relevant topics of interest. We developed a simple method that uses a chi-square-based scoring function to determine the likelihood of MEDLINE citations containing genetic relevant topic. Our procedure requires construction of a genetic and a nongenetic domain document corpus. We used MeSH descriptors assigned to MEDLINE citations for this categorization task. We compared frequencies of MeSH descriptors between two corpora applying chi-square test. A MeSH descriptor was considered to be a positive indicator if its relative observed frequency in the genetic domain corpus was greater than its relative observed frequency in the nongenetic domain corpus. The output of the proposed method is a list of scores for all the citations, with the highest score given to those citations containing MeSH descriptors typical for the genetic domain. Validation was done on a set of 734 manually annotated MEDLINE citations. It achieved predictive accuracy of 0.87 with 0.69 recall and 0.64 precision. We evaluated the method by comparing it to three machine-learning algorithms (support vector machines, decision trees, naïve Bayes). Although the differences were not statistically significantly different, results showed that our chi-square scoring performs as good as compared machine-learning algorithms. We suggest that the chi-square scoring is an effective solution to help categorize MEDLINE citations. The algorithm is implemented in the BITOLA literature-based discovery support system as a preprocessor for gene symbol disambiguation process.

  4. Selection for delayed intravenous alteplase treatment based on a prognostic score.

    Science.gov (United States)

    Fulton, Rachael L; Lees, Kennedy R; Bluhmki, Erich; Biegert, Gabriele; Albers, Gregory W; Davis, Stephen M; Donnan, Geoffrey A; Grotta, James C; Hacke, Werner; Kaste, Markku; von Kummer, Rüdiger; Shuaib, Ashfaq; Toni, Danilo

    2015-01-01

    Approved use of intravenous alteplase for ischemic stroke offers net benefit. Pooled randomized controlled trial analysis suggests additional patients could benefit but others be harmed with treatment initiated beyond 4·5 h after stroke onset. We proposed prognostic scoring methods to identify a strategy for patient selection. We selected 500 patients treated by intravenous alteplase and 500 controls from Virtual International Stroke Trials Archive, matching modified Rankin score outcomes to those from pooled randomized controlled trial 4·5-6 h data. We ranked patients by prognostic score. We chose limits to optimize our sample for a net treatment benefit significant at P = 0·01 by Cochran-Mantel-Haenszel test and by ordinal regression. For validation, we had these applied to the pooled randomized controlled trial data for 4·5-6 h, testing for net benefit by Cochran-Mantel-Haenszel test, ordinal regression, and also by dichotomized outcomes: modified Rankin score 0-1, mortality and parenchymal hemorrhage type 2 bleeds. All analyses were adjusted for age and National Institutes of Health Stroke Scale. In the training dataset, limits of 56-95 on a prognostic score retained 714 patients in whom there was net benefit significant at P = 0·01. When applied to the 1120 patients in the pooled randomized controlled trial 4·5-6 h dataset, score limits of 56-95 retained 711 patients and gave odds ratio for improved modified Rankin score distribution of 1·13, 95% confidence interval 0·87-1·47, Cochran-Mantel-Haenszel P = 0·89. More patients achieved modified Rankin score 0-1 (odds ratio 1·44, 1·02-2·05, P = 0·04) but mortality and parenchymal hemorrhage type 2 bleeds were increased: odds ratio 1·56, 1·01-2·40, P = 0·04; odds ratio 15·6, 3·7-65·8, P = 0·0002, respectively. Selection of patients between 4·5 and 6 h based on simple clinical measures failed to deliver a population in whom the alteplase effect would be safe

  5. Using respondents' uncertainty scores to mitigate hypothetical bias in community-based health insurance studies.

    Science.gov (United States)

    Donfouet, Hermann Pythagore Pierre; Mahieu, Pierre-Alexandre; Malin, Eric

    2013-04-01

    Community-based health insurance has been implemented in several developing countries to help the poor to gain access to adequate health-care services. Assessing what the poor are willing to pay is of paramount importance for policymaking. The contingent valuation method, which relies on a hypothetical market, is commonly used for this purpose. But the presence of the hypothetical bias that is most often inherent in this method tends to bias the estimates upward and compromises policymaking. This paper uses respondents' uncertainty scores in an attempt to mitigate hypothetical bias in community-based health insurance in one rural setting in Cameroon. Uncertainty scores are often employed in single dichotomous choice surveys. An originality of the paper is to use such an approach in a double-bounded dichotomous choice survey. The results suggest that this instrument is effective at decreasing the mean WTP.

  6. Polygenic Risk Score Prediction of Alcohol Dependence Symptoms Across Population-Based and Clinically Ascertained Samples.

    Science.gov (United States)

    Savage, Jeanne E; Salvatore, Jessica E; Aliev, Fazil; Edwards, Alexis C; Hickman, Matthew; Kendler, Kenneth S; Macleod, John; Latvala, Antti; Loukola, Anu; Kaprio, Jaakko; Rose, Richard J; Chan, Grace; Hesselbrock, Victor; Webb, Bradley T; Adkins, Amy; Bigdeli, Tim B; Riley, Brien P; Dick, Danielle M

    2018-03-01

    Despite consistent evidence of the heritability of alcohol use disorders (AUDs), few specific genes with an etiological role have been identified. It is likely that AUDs are highly polygenic; however, the etiological pathways and genetic variants involved may differ between populations. The aim of this study was thus to evaluate whether aggregate genetic risk for AUDs differed between clinically ascertained and population-based epidemiological samples. Four independent samples were obtained: 2 from unselected birth cohorts (Avon Longitudinal Study of Parents and Children [ALSPAC], N = 4,304; FinnTwin12 [FT12], N = 1,135) and 2 from families densely affected with AUDs, identified from treatment-seeking patients (Collaborative Study on the Genetics of Alcoholism, N = 2,097; Irish Affected Sib Pair Study of Alcohol Dependence, N = 706). AUD symptoms were assessed with clinical interviews, and participants of European ancestry were genotyped. Genomewide association was conducted separately in each sample, and the resulting association weights were used to create polygenic risk scores in each of the other samples (12 total discovery-validation pairs), and from meta-analyses within sample type. We then tested how well these aggregate genetic scores predicted AUD outcomes within and across sample types. Polygenic scores derived from 1 population-based sample (ALSPAC) significantly predicted AUD symptoms in another population-based sample (FT12), but not in either clinically ascertained sample. Trend-level associations (uncorrected p < 0.05) were found for polygenic score predictions within sample types but no or negative predictions across sample types. Polygenic scores accounted for 0 to 1% of the variance in AUD symptoms. Though preliminary, these results provide suggestive evidence of differences in the genetic etiology of AUDs based on sample characteristics such as treatment-seeking status, which may index other important clinical or demographic factors

  7. Randomized clinical trial of Appendicitis Inflammatory Response score-based management of patients with suspected appendicitis.

    Science.gov (United States)

    Andersson, M; Kolodziej, B; Andersson, R E

    2017-10-01

    The role of imaging in the diagnosis of appendicitis is controversial. This prospective interventional study and nested randomized trial analysed the impact of implementing a risk stratification algorithm based on the Appendicitis Inflammatory Response (AIR) score, and compared routine imaging with selective imaging after clinical reassessment. Patients presenting with suspicion of appendicitis between September 2009 and January 2012 from age 10 years were included at 21 emergency surgical centres and from age 5 years at three university paediatric centres. Registration of clinical characteristics, treatments and outcomes started during the baseline period. The AIR score-based algorithm was implemented during the intervention period. Intermediate-risk patients were randomized to routine imaging or selective imaging after clinical reassessment. The baseline period included 1152 patients, and the intervention period 2639, of whom 1068 intermediate-risk patients were randomized. In low-risk patients, use of the AIR score-based algorithm resulted in less imaging (19·2 versus 34·5 per cent; P appendicitis (6·8 versus 9·7 per cent; P = 0·034). Intermediate-risk patients randomized to the imaging and observation groups had the same proportion of negative appendicectomies (6·4 versus 6·7 per cent respectively; P = 0·884), number of admissions, number of perforations and length of hospital stay, but routine imaging was associated with an increased proportion of patients treated for appendicitis (53·4 versus 46·3 per cent; P = 0·020). AIR score-based risk classification can safely reduce the use of diagnostic imaging and hospital admissions in patients with suspicion of appendicitis. Registration number: NCT00971438 ( http://www.clinicaltrials.gov). © 2017 BJS Society Ltd Published by John Wiley & Sons Ltd.

  8. Combined time-varying forecast based on the proper scoring approach for wind power generation

    DEFF Research Database (Denmark)

    Chen, Xingying; Jiang, Yu; Yu, Kun

    2017-01-01

    Compared with traditional point forecasts, combined forecast have been proposed as an effective method to provide more accurate forecasts than individual model. However, the literature and research focus on wind-power combined forecasts are relatively limited. Here, based on forecasting error...... distribution, a proper scoring approach is applied to combine plausible models to form an overall time-varying model for the next day forecasts, rather than weights-based combination. To validate the effectiveness of the proposed method, real data of 3 years were used for testing. Simulation results...... demonstrate that the proposed method improves the accuracy of overall forecasts, even compared with a numerical weather prediction....

  9. The East London glaucoma prediction score: web-based validation of glaucoma risk screening tool

    Science.gov (United States)

    Stephen, Cook; Benjamin, Longo-Mbenza

    2013-01-01

    AIM It is difficult for Optometrists and General Practitioners to know which patients are at risk. The East London glaucoma prediction score (ELGPS) is a web based risk calculator that has been developed to determine Glaucoma risk at the time of screening. Multiple risk factors that are available in a low tech environment are assessed to provide a risk assessment. This is extremely useful in settings where access to specialist care is difficult. Use of the calculator is educational. It is a free web based service. Data capture is user specific. METHOD The scoring system is a web based questionnaire that captures and subsequently calculates the relative risk for the presence of Glaucoma at the time of screening. Three categories of patient are described: Unlikely to have Glaucoma; Glaucoma Suspect and Glaucoma. A case review methodology of patients with known diagnosis is employed to validate the calculator risk assessment. RESULTS Data from the patient records of 400 patients with an established diagnosis has been captured and used to validate the screening tool. The website reports that the calculated diagnosis correlates with the actual diagnosis 82% of the time. Biostatistics analysis showed: Sensitivity = 88%; Positive predictive value = 97%; Specificity = 75%. CONCLUSION Analysis of the first 400 patients validates the web based screening tool as being a good method of screening for the at risk population. The validation is ongoing. The web based format will allow a more widespread recruitment for different geographic, population and personnel variables. PMID:23550097

  10. Continuing Medical Education Speakers with High Evaluation Scores Use more Image-based Slides.

    Science.gov (United States)

    Ferguson, Ian; Phillips, Andrew W; Lin, Michelle

    2017-01-01

    Although continuing medical education (CME) presentations are common across health professions, it is unknown whether slide design is independently associated with audience evaluations of the speaker. Based on the conceptual framework of Mayer's theory of multimedia learning, this study aimed to determine whether image use and text density in presentation slides are associated with overall speaker evaluations. This retrospective analysis of six sequential CME conferences (two annual emergency medicine conferences over a three-year period) used a mixed linear regression model to assess whether post-conference speaker evaluations were associated with image fraction (percentage of image-based slides per presentation) and text density (number of words per slide). A total of 105 unique lectures were given by 49 faculty members, and 1,222 evaluations (70.1% response rate) were available for analysis. On average, 47.4% (SD=25.36) of slides had at least one educationally-relevant image (image fraction). Image fraction significantly predicted overall higher evaluation scores [F(1, 100.676)=6.158, p=0.015] in the mixed linear regression model. The mean (SD) text density was 25.61 (8.14) words/slide but was not a significant predictor [F(1, 86.293)=0.55, p=0.815]. Of note, the individual speaker [χ 2 (1)=2.952, p=0.003] and speaker seniority [F(3, 59.713)=4.083, p=0.011] significantly predicted higher scores. This is the first published study to date assessing the linkage between slide design and CME speaker evaluations by an audience of practicing clinicians. The incorporation of images was associated with higher evaluation scores, in alignment with Mayer's theory of multimedia learning. Contrary to this theory, however, text density showed no significant association, suggesting that these scores may be multifactorial. Professional development efforts should focus on teaching best practices in both slide design and presentation skills.

  11. Continuing Medical Education Speakers with High Evaluation Scores Use more Image-based Slides

    Directory of Open Access Journals (Sweden)

    Ferguson, Ian

    2017-01-01

    Full Text Available Although continuing medical education (CME presentations are common across health professions, it is unknown whether slide design is independently associated with audience evaluations of the speaker. Based on the conceptual framework of Mayer’s theory of multimedia learning, this study aimed to determine whether image use and text density in presentation slides are associated with overall speaker evaluations. This retrospective analysis of six sequential CME conferences (two annual emergency medicine conferences over a three-year period used a mixed linear regression model to assess whether postconference speaker evaluations were associated with image fraction (percentage of image-based slides per presentation and text density (number of words per slide. A total of 105 unique lectures were given by 49 faculty members, and 1,222 evaluations (70.1% response rate were available for analysis. On average, 47.4% (SD=25.36 of slides had at least one educationally-relevant image (image fraction. Image fraction significantly predicted overall higher evaluation scores [F(1, 100.676=6.158, p=0.015] in the mixed linear regression model. The mean (SD text density was 25.61 (8.14 words/slide but was not a significant predictor [F(1, 86.293=0.55, p=0.815]. Of note, the individual speaker [χ2 (1=2.952, p=0.003] and speaker seniority [F(3, 59.713=4.083, p=0.011] significantly predicted higher scores. This is the first published study to date assessing the linkage between slide design and CME speaker evaluations by an audience of practicing clinicians. The incorporation of images was associated with higher evaluation scores, in alignment with Mayer’s theory of multimedia learning. Contrary to this theory, however, text density showed no significant association, suggesting that these scores may be multifactorial. Professional development efforts should focus on teaching best practices in both slide design and presentation skills.

  12. Population-based metabolic syndrome risk score and its determinants: The Isfahan Healthy Heart Program

    Directory of Open Access Journals (Sweden)

    Mohsen Hosseini

    2014-01-01

    Full Text Available Background: Metabolic syndrome (MetSy, an important predisposing factor for the most of noncommunicable diseases, has become a global pandemic. Given different definitions used for the MetSy, recently using a score termed "continuous MetSy risk score (CMetSyS" is recommended. The aim of this study was to provide a CMetSyS in a population-based sample of Iranian adults and to assess its determinants. Materials and Methods: We used the data of the baseline survey of a community trial entitled "the Isfahan health heart program." The MetSy was defined according to the Revised National Cholesterol Education Program Third Adult Treatment Panel. All probable predictive models and their predictive performance were provided using leave-one-out cross-validated logistic regression and the receiver operation characteristic curve methods. Multiple linear regression was performed to assess factors associated with the CMetSyS. Results: The study population consisted of 8313 persons (49.9% male, mean age 38.54 ± 15.86 years. The MetSy was documented in 1539 persons (21.86%. Triglycerides and waist circumference were the best predictive components, and fasting plasma glucose had the lowest area under curve (AUC. The AUC for our best model was 95.36 (94.83-95.83%. The best predictive cutoff for this risk score was −1.151 with 89% sensitivity and 87.93% specificity. Conclusion: We provided four population-based leave-one-out cross-validated risk score models, with moderate to perfect predictive performance to identify the MetSy in Iranian adults. The CMetSyS had significant associations with high sensitive C-reactive protein, body mass index, leisure time, and workplace physical activity as well as age and gender.

  13. Energy information data base: subject thesaurus

    International Nuclear Information System (INIS)

    1979-10-01

    The technical staff of the DOE Technical Information Center, during its subject indexing activities, develops and structures a vocabulary that allows consistent machine storage and retrieval of information necessary to the accomplishment of the DOE mission. This thesaurus incorporates that structured vocabulary. The terminology of this thesaurus is used for the subject control of information announced in DOE Energy Research Abstracts, Energy Abstracts for Policy Analysis, Solar Energy Update, Geothermal Energy Update, Fossil Energy Update, Fusion Energy Update, and Energy Conservation Update. This terminology also facilitates subject searching of the DOE energy information data base, a research in progress data base, a general and practical energy information data base, power reactor docket information data base, nuclear science abstracts data base, and the federal energy information data base on the DOE on-line retrieval system, RECON. The rapid expansion of the DOE's activities will result in a concomitant thesaurus expansion as information relating to new activities is indexed. Only the terms used in the indexing of documents at the Technical Information Center to date are included

  14. Enhancing the Value of Population-Based Risk Scores for Institutional-Level Use.

    Science.gov (United States)

    Raza, Sajjad; Sabik, Joseph F; Rajeswaran, Jeevanantham; Idrees, Jay J; Trezzi, Matteo; Riaz, Haris; Javadikasgari, Hoda; Nowicki, Edward R; Svensson, Lars G; Blackstone, Eugene H

    2016-07-01

    We hypothesized that factors associated with an institution's residual risk unaccounted for by population-based models may be identifiable and used to enhance the value of population-based risk scores for quality improvement. From January 2000 to January 2010, 4,971 patients underwent aortic valve replacement (AVR), either isolated (n = 2,660) or with concomitant coronary artery bypass grafting (AVR+CABG; n = 2,311). Operative mortality and major morbidity and mortality predicted by The Society of Thoracic Surgeons (STS) risk models were compared with observed values. After adjusting for patients' STS score, additional and refined risk factors were sought to explain residual risk. Differences between STS model coefficients (risk-factor strength) and those specific to our institution were calculated. Observed operative mortality was less than predicted for AVR (1.6% [42 of 2,660] vs 2.8%, p risk factors, and body surface area, creatinine, glomerular filtration rate, blood urea nitrogen, and heart failure across all levels of functional class were identified as refined risk-factor variables associated with residual risk. In many instances, risk-factor strength differed substantially from that of STS models. Scores derived from population-based models can be enhanced for institutional level use by adjusting for institution-specific additional and refined risk factors. Identifying these and measuring differences in institution-specific versus population-based risk-factor strength can identify areas to target for quality improvement initiatives. Copyright © 2016 The Society of Thoracic Surgeons. Published by Elsevier Inc. All rights reserved.

  15. Energy Flexometer: Transactive Energy-Based Internet of Things Technology

    Directory of Open Access Journals (Sweden)

    Muhammad Babar

    2018-03-01

    Full Text Available Effective Energy Management with an active Demand Response (DR is crucial for future smart energy system. Increasing number of Distributed Energy Resources (DER, local microgrids and prosumers have an essential and real influence on present power distribution system and generate new challenges in power, energy and demand management. A relatively new paradigm in this field is transactive energy (TE, with its value and market-based economic and technical mechanisms to control energy flows. Due to a distributed structure of present and future power system, the Internet of Things (IoT environment is needed to fully explore flexibility potential from the end-users and prosumers, to offer a bid to involved actors of the smart energy system. In this paper, new approach to connect the market-driven (bottom-up DR program with current demand-driven (top-down energy management system (EMS is presented. Authors consider multi-agent system (MAS to realize the approach and introduce a concept and standardize the design of new Energy Flexometer. It is proposed as a fundamental agent in the method. Three different functional blocks have been designed and presented as an IoT platform logical interface according to the LonWorks technology. An evaluation study has been performed as well. Results presented in the paper prove the proposed concept and design.

  16. An Interval-Valued Intuitionistic Fuzzy TOPSIS Method Based on an Improved Score Function

    Directory of Open Access Journals (Sweden)

    Zhi-yong Bai

    2013-01-01

    Full Text Available This paper proposes an improved score function for the effective ranking order of interval-valued intuitionistic fuzzy sets (IVIFSs and an interval-valued intuitionistic fuzzy TOPSIS method based on the score function to solve multicriteria decision-making problems in which all the preference information provided by decision-makers is expressed as interval-valued intuitionistic fuzzy decision matrices where each of the elements is characterized by IVIFS value and the information about criterion weights is known. We apply the proposed score function to calculate the separation measures of each alternative from the positive and negative ideal solutions to determine the relative closeness coefficients. According to the values of the closeness coefficients, the alternatives can be ranked and the most desirable one(s can be selected in the decision-making process. Finally, two illustrative examples for multicriteria fuzzy decision-making problems of alternatives are used as a demonstration of the applications and the effectiveness of the proposed decision-making method.

  17. Face Recognition Performance Improvement using a Similarity Score of Feature Vectors based on Probabilistic Histograms

    Directory of Open Access Journals (Sweden)

    SRIKOTE, G.

    2016-08-01

    Full Text Available This paper proposes an improved performance algorithm of face recognition to identify two face mismatch pairs in cases of incorrect decisions. The primary feature of this method is to deploy the similarity score with respect to Gaussian components between two previously unseen faces. Unlike the conventional classical vector distance measurement, our algorithms also consider the plot of summation of the similarity index versus face feature vector distance. A mixture of Gaussian models of labeled faces is also widely applicable to different biometric system parameters. By comparative evaluations, it has been shown that the efficiency of the proposed algorithm is superior to that of the conventional algorithm by an average accuracy of up to 1.15% and 16.87% when compared with 3x3 Multi-Region Histogram (MRH direct-bag-of-features and Principal Component Analysis (PCA-based face recognition systems, respectively. The experimental results show that similarity score consideration is more discriminative for face recognition compared to feature distance. Experimental results of Labeled Face in the Wild (LFW data set demonstrate that our algorithms are suitable for real applications probe-to-gallery identification of face recognition systems. Moreover, this proposed method can also be applied to other recognition systems and therefore additionally improves recognition scores.

  18. An Interval-Valued Intuitionistic Fuzzy TOPSIS Method Based on an Improved Score Function

    Science.gov (United States)

    2013-01-01

    This paper proposes an improved score function for the effective ranking order of interval-valued intuitionistic fuzzy sets (IVIFSs) and an interval-valued intuitionistic fuzzy TOPSIS method based on the score function to solve multicriteria decision-making problems in which all the preference information provided by decision-makers is expressed as interval-valued intuitionistic fuzzy decision matrices where each of the elements is characterized by IVIFS value and the information about criterion weights is known. We apply the proposed score function to calculate the separation measures of each alternative from the positive and negative ideal solutions to determine the relative closeness coefficients. According to the values of the closeness coefficients, the alternatives can be ranked and the most desirable one(s) can be selected in the decision-making process. Finally, two illustrative examples for multicriteria fuzzy decision-making problems of alternatives are used as a demonstration of the applications and the effectiveness of the proposed decision-making method. PMID:24459449

  19. Performance-based tests in subjects with stroke: outcome scores, reliability and measurement errors.

    Science.gov (United States)

    Faria, Christina D C M; Teixeira-Salmela, Luci F; Neto, Mansueto Gomes; Rodrigues-de-Paula, Fátima

    2012-05-01

    To assess the intra- and inter-rater reliabilities and measurement errors of seven widely applied performance-based tests for stroke subjects (comfortable/maximal gait speeds and both stair ascending/descending cadences, as well as the Timed 'Up and Go' test) and to verify whether the use of different types of outcome scores (one trial, the means of two and three trials, and the best and the worst values of the three trials) affected the score values, as well as their reliability and measurement errors. Intra- and inter-rater reliability study. Research laboratory. Sixteen stroke subjects with a mean age of 52 ± 17.9 years. Seven performance-based tests, over two sessions, seven days apart, evaluated by two independent examiners. A third examiner recorded all data. One-way ANOVAs, intra-class correlation coefficients (ICCs) and percentages of the standard errors of measurement (SEM%) were used for analyses. For all tests, similar results were found for all types of outcome scores (0.01 ≤ F ≤ 0.56; 0.34 ≤ p ≤ 0.99). For instance, at the comfortable gait speed, the means (SD) values for the first trial, the means of two and three trials and the best and worst of three trials were, respectively, 1.04 (0.25), 1.04(0.24), 1.05 (0.24), 1.10 (0.26), 1.02 (0.24) seconds. Significant and adequate values of intra- (0.75 ≤ ICC ≤ 0.96; p ≤ 0.002) and inter-rater (0.75 ≤ ICC ≤ 0.97; p ≤ 0.001) reliabilities were found for all tests and outcome scores. Measurement errors were considered low (5.01 ≤ SEM% ≤14.78) and were also similar between all outcome scores. For the seven tests, only one trial was necessary to provide consistent and reliable results regarding the functional performances of stroke subjects.

  20. Two-step calibration method for multi-algorithm score-based face recognition systems by minimizing discrimination loss

    NARCIS (Netherlands)

    Susyanto, N.; Veldhuis, Raymond N.J.; Spreeuwers, Lieuwe Jan; Klaassen, C.A.J.

    2016-01-01

    We propose a new method for combining multi-algorithm score-based face recognition systems, which we call the two-step calibration method. Typically, algorithms for face recognition systems produce dependent scores. The two-step method is based on parametric copulas to handle this dependence. Its

  1. Scoring in genetically modified organism proficiency tests based on log-transformed results.

    Science.gov (United States)

    Thompson, Michael; Ellison, Stephen L R; Owen, Linda; Mathieson, Kenneth; Powell, Joanne; Key, Pauline; Wood, Roger; Damant, Andrew P

    2006-01-01

    The study considers data from 2 UK-based proficiency schemes and includes data from a total of 29 rounds and 43 test materials over a period of 3 years. The results from the 2 schemes are similar and reinforce each other. The amplification process used in quantitative polymerase chain reaction determinations predicts a mixture of normal, binomial, and lognormal distributions dominated by the latter 2. As predicted, the study results consistently follow a positively skewed distribution. Log-transformation prior to calculating z-scores is effective in establishing near-symmetric distributions that are sufficiently close to normal to justify interpretation on the basis of the normal distribution.

  2. Determinants of Health Spending Efficiency: a Tobit Panel Data Approach Based on DEA Efficiency Scores

    Directory of Open Access Journals (Sweden)

    Douanla Tayo Lionel

    2015-08-01

    Full Text Available This study aims at identifying the determinants of health expenditure efficiency over the period 2005-2011 using a Tobit Panel Data Approach based on DEA Efficiency Scores. The study was made on 150 countries, where we had 45 high income countries, 40 upper middle income countries, 36 lower middle income countries and 29 low income countries. The estimated results show that Carbon dioxide emission, gross domestic product per capita, improvement in corruption, the age composition of the population, population density and government effectiveness are significant determinants of health expenditure efficiency. Thus, low income countries should promote green growth and all the income groups should intensively fight against poverty.

  3. Development and Reliability of the OMERACT Thumb Base Osteoarthritis Magnetic Resonance Imaging Scoring System

    DEFF Research Database (Denmark)

    Kroon, Féline P B; Conaghan, Philip G; Foltz, Violaine

    2017-01-01

    : The TOMS assessed the first carpometacarpal (CMC-1) and scaphotrapeziotrapezoid (STT) joints for synovitis, subchondral bone defects (including erosions, cysts, and bone attrition), osteophytes, cartilage, and bone marrow lesions on a 0-3 scale (normal to severe). Subluxation was evaluated only in the CMC......, with better performance for subchondral bone defects, subluxation, and bone marrow lesions. CONCLUSION: A thumb base OA MRI scoring system has been developed. The OMERACT TOMS demonstrated good intrareader and interreader reliability. Longitudinal studies are warranted to investigate reliability of change...

  4. Agent based energy management systems

    Energy Technology Data Exchange (ETDEWEB)

    Wolter, Martin

    2012-07-01

    In liberalized, regulated energy markets, the different participants - namely producers and consumers of energy, transmission and distribution system operators as well as regulatory authorities - have partly divergent and partly convergent interests. Loads, power plants and grid operators try to maximize their own benefit in this highly complex environment accepting to act detrimentally to others. Although the relationship between the participants is mostly competitive, there are some fundamental shared interests, e.g. voltage stability, a constant system frequency or efficient energy production, transmission and distribution, which are endangered e.g. by increased injection of volatile sources in low and medium voltage grids, displacement of stabilizing bulk generation and the slowly progressing extension of the electric grid. There is a global consensus, that the resulting challenges can efficiently be faced using information and communication technologies to coordinate grid utilization and operation. The basic idea is to benefit from unused reserves by participating in deployment of system services e.g. reactive power supply to keep the voltage within certain bounds. The coordination can best be done by the grid operator. All activities of that kind are summarized under the umbrella term ''Smart Grid''. To simultaneously model the behavior and interests of different types of market participants and their convergent and divergent interests, multi-agent systems are used. They offer a perfectly fitting framework for this sort of game theory and can easily be adapted to all kinds of new challenges of electricity markets. In this work, multi-agent systems are used to either cooperatively or competitively solve problems in distribution and transmission systems. Therefore, conventional algorithms have to be modified to converge into multiple local optima using only small pieces of the entire system information. It is clearly stated, that personal

  5. Energy budgets’ formation based on incomplete data

    Directory of Open Access Journals (Sweden)

    Litvak Valery

    2017-01-01

    Full Text Available The universal technique of the current energy budget calculation is recommended for several periods of time. Basing on the data of annual energy budget and considering the plant’s features, social, climatic and other conditions, correcting factors are calculated to estimate energy resources consumption for the day, week, month and year. Shortterm current energy budget supports important financial, trade, logistic, organizational and other control directions. The developed technique is applicable for subnational entities and industrial enterprises in order to increase level of energy resources consumption planning and forecasting as well as bills’ optimization.

  6. Energy flow modeling and optimal operation analysis of the micro energy grid based on energy hub

    International Nuclear Information System (INIS)

    Ma, Tengfei; Wu, Junyong; Hao, Liangliang

    2017-01-01

    Highlights: • Design a novel architecture for energy hub integrating power hub, cooling hub and heating hub. • The micro energy grid based on energy hub is introduced and its advantages are discussed. • Propose a generic modeling method for the energy flow of micro energy grid. • Propose an optimal operation model for micro energy grid with considering demand response. • The roles of renewable energy, energy storage devices and demand response are discussed separately. - Abstract: The energy security and environmental problems impel people to explore a more efficient, environment friendly and economical energy utilization pattern. In this paper, the coordinated operation and optimal dispatch strategies for multiple energy system are studied at the whole Micro Energy Grid level. To augment the operation flexibility of energy hub, the innovation sub-energy hub structure including power hub, heating hub and cooling hub is put forward. Basing on it, a generic energy hub architecture integrating renewable energy, combined cooling heating and power, and energy storage devices is developed. Moreover, a generic modeling method for the energy flow of micro energy grid is proposed. To minimize the daily operation cost, a day-ahead dynamic optimal operation model is formulated as a mixed integer linear programming optimization problem with considering the demand response. Case studies are undertaken on a community Micro Energy Grid in four different scenarios on a typical summer day and the roles of renewable energy, energy storage devices and demand response are discussed separately. Numerical simulation results indicate that the proposed energy flow modeling and optimal operation method are universal and effective over the entire energy dispatching horizon.

  7. Radiography-based score indicative for the pathogenicity of bacteria in odontogenic infections.

    Science.gov (United States)

    Cachovan, Georg; Blessmann, Marco; Schön, Gerhard; Rother, Uwe; Heiland, Max; Stürenburg, Enno; Platzer, Ursula; Sobottka, Ingo

    2014-10-01

    To develop a new radiography-based score to assess the potential of bacteria to cause odontogenic infections derived from the occurrence of bacteria at small or large radiographical lesions. The patients analyzed were a sub-population from a large randomized clinical trial comparing moxifloxacin and clindamycin in the treatment of inflammatory infiltrates and odontogenic abscesses. Routine radiographs were used to analyze the area of the periapical radiolucent lesions. Lesions were stratified by their radiographically measured area as large (>9 mm(2)) or small (≤9 mm(2)). A risk ratio was calculated for each species from the frequency of their occurrence in large vs in small lesions. Fifty-one patients, 19 with abscesses and 32 with infiltrates, were evaluated. Overall, the radiographical lesion areas ranged from 0.4-46.2 mm(2) (median = 9 mm(2)). An increased risk (risk ratio >1) to occur at large abscess lesions was observed for Prevotella (P.) oralis, P. buccae, P. oris, P. intermedia, Fusobacterium nucleatum and Streptococcus (Strep.) anginosus group. An increased risk to occur at large infiltrate lesions was found for Strep. salivarius, Strep. parasanguis, Strep. anginosus group, Capnocytophaga spp., Neisseria (N.) sicca, Neisseria spp., Staphylococcus (Staph.) aureus, P. intermedia, P. buccae, Prevotella spp. and P. melaninogenica. The radiography-based score suggests that certain Prevotella spp., F. nucleatum and Strep. anginosus groups play a crucial role in the pathogenesis of odontogenic abscesses, and that various streptococci, Neisseria spp., Capnocytophaga spp., Staph. aureus and Prevotella spp. are involved in the pathogenesis of odontogenic infiltrates.

  8. Advancing Performability in Playable Media: A Simulation-based Interface as a Dynamic Score

    Directory of Open Access Journals (Sweden)

    I. Choi

    2014-10-01

    Full Text Available When designing playable media with non-game orientation, alternative play scenarios to gameplay scenarios must be accompanied by alternative mechanics to game mechanics. Problems of designing playable media with non-game orientation are stated as the problems of designing a platform for creative explorations and creative expressions. For such design problems, two requirements are articulated: 1 play state transitions must be dynamic in non-trivial ways in order to achieve a significant level of engagement, and 2 pathways for players’ experience from exploration to expression must be provided. The transformative pathway from creative exploration to creative expression is analogous to pathways for game players’ skill acquisition in gameplay. The paper first describes a concept of simulation-based interface, and then binds that concept with the concept of dynamic score. The former partially accounts for the first requirement, the latter the second requirement. The paper describes the prototype and realization of the two concepts’ binding. “Score” is here defined as a representation of cue organization through a transmodal abstraction. A simulation based interface is presented with swarm mechanics and its function as a dynamic score is demonstrated with an interactive musical composition and performance.

  9. A desirability function-based scoring scheme for selecting fragment-like class A aminergic GPCR ligands

    Science.gov (United States)

    Kelemen, Ádám A.; Ferenczy, György G.; Keserű, György M.

    2015-01-01

    A physicochemical property-based desirability scoring scheme for fragment-based drug discovery was developed for class A aminergic GPCR targeted fragment libraries. Physicochemical property distributions of known aminergic GPCR-active fragments from the ChEMBL database were examined and used for a desirability function-based score. Property-distributions such as log D (at pH 7.4), PSA, pKa (strongest basic center), number of nitrogen atoms, number of oxygen atoms, and the number of rotatable bonds were combined into a desirability score (FrAGS). The validation of the scoring scheme was carried out using both public and proprietary experimental screening data. The scoring scheme is suitable for the design of aminergic GPCR targeted fragment libraries and might be useful for preprocessing fragments before structure based virtual or wet screening.

  10. Conclusions. [hydrogen-based energy

    Science.gov (United States)

    1975-01-01

    Conclusions are presented according to general areas of technology with some specific examples of research and technology needs identified. These conclusions provide a base for the future development of detailed program plans and identify research needs that are not being given attention or are not being supported at a sufficient level. Emphasis is placed on hydrogen production and use.

  11. Energy based prediction models for building acoustics

    DEFF Research Database (Denmark)

    Brunskog, Jonas

    2012-01-01

    In order to reach robust and simplified yet accurate prediction models, energy based principle are commonly used in many fields of acoustics, especially in building acoustics. This includes simple energy flow models, the framework of statistical energy analysis (SEA) as well as more elaborated...... principles as, e.g., wave intensity analysis (WIA). The European standards for building acoustic predictions, the EN 12354 series, are based on energy flow and SEA principles. In the present paper, different energy based prediction models are discussed and critically reviewed. Special attention is placed...... on underlying basic assumptions, such as diffuse fields, high modal overlap, resonant field being dominant, etc., and the consequences of these in terms of limitations in the theory and in the practical use of the models....

  12. Communicating efficacy information based on composite scores in direct-to-consumer prescription drug advertising.

    Science.gov (United States)

    Williams, Pamela A; O'Donoghue, Amie C; Sullivan, Helen W; Willoughby, Jessica Fitts; Squire, Claudia; Parvanta, Sarah; Betts, Kevin R

    2016-04-01

    Drug efficacy can be measured by composite scores, which consist of two or more symptoms or other clinical components of a disease. We evaluated how individuals interpret composite scores in direct-to-consumer (DTC) prescription drug advertising. We conducted an experimental study of seasonal allergy sufferers (n=1967) who viewed a fictitious print DTC ad that varied by the type of information featured (general indication, list of symptoms, or definition of composite scores) and the presence or absence of an educational intervention about composite scores. We measured composite score recognition and comprehension, and perceived drug efficacy and risk. Ads that featured either (1) the composite score definition alone or (2) the list of symptoms or general indication information along with the educational intervention improved composite score comprehension. Ads that included the composite score definition or the educational intervention led to lower confidence in the drug's benefits. The composite score definition improved composite score recognition and lowered drug risk perceptions. Adding composite score information to DTC print ads may improve individuals' comprehension of composite scores and affect their perceptions of the drug. Providing composite score information may lead to more informed patient-provider prescription drug decisions. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

  13. Base Program on Energy Related Research

    Energy Technology Data Exchange (ETDEWEB)

    Western Research Institute

    2008-06-30

    The main objective of the Base Research Program was to conduct both fundamental and applied research that will assist industry in developing, deploying, and commercializing efficient, nonpolluting fossil energy technologies that can compete effectively in meeting the energy requirements of the Nation. In that regard, tasks proposed under the WRI research areas were aligned with DOE objectives of secure and reliable energy; clean power generation; development of hydrogen resources; energy efficiency and development of innovative fuels from low and no-cost sources. The goal of the Base Research Program was to develop innovative technology solutions that will: (1) Increase the production of United States energy resources--coal, natural gas, oil, and renewable energy resources; (2) Enhance the competitiveness of United States energy technologies in international markets and assist in technology transfer; (3) Reduce the nation's dependence on foreign energy supplies and strengthen both the United States and regional economies; and (4) Minimize environmental impacts of energy production and utilization. This report summarizes the accomplishments of the overall Base Program. This document represents a stand-alone Final Report for the entire Program. It should be noted that an interim report describing the Program achievements was prepared in 2003 covering the progress made under various tasks completed during the first five years of this Program.

  14. Learning material recommendation based on case-based reasoning similarity scores

    Science.gov (United States)

    Masood, Mona; Mokmin, Nur Azlina Mohamed

    2017-10-01

    A personalized learning material recommendation is important in any Intelligent Tutoring System (ITS). Case-based Reasoning (CBR) is an Artificial Intelligent Algorithm that has been widely used in the development of ITS applications. This study has developed an ITS application that applied the CBR algorithm in the development process. The application has the ability to recommend the most suitable learning material to the specific student based on information in the student profile. In order to test the ability of the application in recommending learning material, two versions of the application were created. The first version displayed the most suitable learning material and the second version displayed the least preferable learning material. The results show the application has successfully assigned the students to the most suitable learning material.

  15. Hospital Value-Based Purchasing (HVBP) – Total Performance Score

    Data.gov (United States)

    U.S. Department of Health & Human Services — A list of hospitals participating in the Hospital VBP Program and their Clinical Process of Care domain scores, Patient Experience of Care dimension scores, and...

  16. An imputation-based solution to using mismeasured covariates in propensity score analysis.

    Science.gov (United States)

    Webb-Vargas, Yenny; Rudolph, Kara E; Lenis, David; Murakami, Peter; Stuart, Elizabeth A

    2017-08-01

    Although covariate measurement error is likely the norm rather than the exception, methods for handling covariate measurement error in propensity score methods have not been widely investigated. We consider a multiple imputation-based approach that uses an external calibration sample with information on the true and mismeasured covariates, multiple imputation for external calibration, to correct for the measurement error, and investigate its performance using simulation studies. As expected, using the covariate measured with error leads to bias in the treatment effect estimate. In contrast, the multiple imputation for external calibration method can eliminate almost all the bias. We confirm that the outcome must be used in the imputation process to obtain good results, a finding related to the idea of congenial imputation and analysis in the broader multiple imputation literature. We illustrate the multiple imputation for external calibration approach using a motivating example estimating the effects of living in a disadvantaged neighborhood on mental health and substance use outcomes among adolescents. These results show that estimating the propensity score using covariates measured with error leads to biased estimates of treatment effects, but when a calibration data set is available, multiple imputation for external calibration can be used to help correct for such bias.

  17. A novel white blood cells segmentation algorithm based on adaptive neutrosophic similarity score.

    Science.gov (United States)

    Shahin, A I; Guo, Yanhui; Amin, K M; Sharawi, Amr A

    2018-12-01

    White blood cells (WBCs) play a crucial role in the diagnosis of many diseases according to their numbers or morphology. The recent digital pathology equipments investigate and analyze the blood smear images automatically. The previous automated segmentation algorithms worked on healthy and non-healthy WBCs separately. Also, such algorithms had employed certain color components which leak adaptively with different datasets. In this paper, a novel segmentation algorithm for WBCs in the blood smear images is proposed using multi-scale similarity measure based on the neutrosophic domain. We employ neutrosophic similarity score to measure the similarity between different color components of the blood smear image. Since we utilize different color components from different color spaces, we modify the neutrosphic score algorithm to be adaptive. Two different segmentation frameworks are proposed: one for the segmentation of nucleus, and the other for the cytoplasm of WBCs. Moreover, our proposed algorithm is applied to both healthy and non-healthy WBCs. in some cases, the single blood smear image gather between healthy and non-healthy WBCs which is considered in our proposed algorithm. Also, our segmentation algorithm is performed without any external morphological binary enhancement methods which may effect on the original shape of the WBC. Different public datasets with different resolutions were used in our experiments. We evaluate the system performance based on both qualitative and quantitative measurements. The quantitative results indicates high precision rates of the segmentation performance measurement A1 = 96.5% and A2 = 97.2% of the proposed method. The average segmentation performance results for different WBCs types reach to 97.6%. In this paper, a method based on adaptive neutrosphic sets similarity score is proposed in order to detect WBCs from a blood smear microscopic image and segment its components (nucleus and the cytoplasm). The proposed

  18. Hydrogen based energy storage for solar energy systems

    Energy Technology Data Exchange (ETDEWEB)

    Vanhanen, J.P.; Hagstroem, M.T.; Lund, P.H. [Helsinki Univ. of Technology, Otaniemi (Finland). Dept. of Engineering Physics and Mathematics; Leppaenen, J.R.; Nieminen, J.P. [Neste Oy (Finland)

    1998-12-31

    Hydrogen based energy storage options for solar energy systems was studied in order to improve their overall performance. A 1 kW photovoltaic hydrogen (PV-H2) pilot-plant and commercial prototype were constructed and a numerical simulation program H2PHOTO for system design and optimisation was developed. Furthermore, a comprehensive understanding of conversion (electrolysers and fuel cells) and storage (metal hydrides) technologies was acquired by the project partners. The PV-H{sub 2} power system provides a self-sufficient solution for applications in remote locations far from electric grids and maintenance services. (orig.)

  19. Development and Application of a Plant-Based Diet Scoring System for Japanese Patients with Inflammatory Bowel Disease.

    Science.gov (United States)

    Chiba, Mitsuro; Nakane, Kunio; Takayama, Yuko; Sugawara, Kae; Ohno, Hideo; Ishii, Hajime; Tsuda, Satoko; Tsuji, Tsuyotoshi; Komatsu, Masafumi; Sugawara, Takeshi

    2016-01-01

    Plant-based diets (PBDs) are a healthy alternative to westernized diets. A semivegetarian diet, a PBD, has been shown to prevent a relapse in Crohn disease. However, there is no way to measure adherence to PBDs. To develop a simple way of evaluating adherence to a PBD for Japanese patients with inflammatory bowel disease (IBD). PBD scores were assigned according to the frequency of consumption provided on a food-frequency questionnaire, obtained on hospitalization for 159 patients with ulcerative colitis and 70 patients with Crohn disease. Eight items considered to be preventive factors for IBD were scored positively, and 8 items considered to be IBD risk factors were scored negatively. The PBD score was calculated from the sum of plus and minus scores. Higher PBD scores indicated greater adherence to a PBD. The PBD scores were evaluated on hospitalization and 2 years after discharge for 22 patients with Crohn disease whose dietary pattern and prognosis were established. Plant-Based Diet score. The PBD scores differed significantly, in descending order, by dietary type: pro-Japanese diet, mixed type, and pro-westernized diet (Wilcoxon/Kruskal-Wallis test). The PBD scores in the ulcerative colitis and Crohn disease groups were 10.9 ± 9.5 and 8.2 ± 8.2, respectively. For patients with Crohn disease, those with long-term remission and normal C-reactive protein concentration were significantly more likely to have PBD scores of 25 or greater than below 25 (χ 2 ). The PBD score is a valid assessment of PBD dietary adherence.

  20. Development and Application of a Plant-Based Diet Scoring System for Japanese Patients with Inflammatory Bowel Disease

    Science.gov (United States)

    Chiba, Mitsuro; Nakane, Kunio; Takayama, Yuko; Sugawara, Kae; Ohno, Hideo; Ishii, Hajime; Tsuda, Satoko; Tsuji, Tsuyotoshi; Komatsu, Masafumi; Sugawara, Takeshi

    2016-01-01

    Context Plant-based diets (PBDs) are a healthy alternative to westernized diets. A semivegetarian diet, a PBD, has been shown to prevent a relapse in Crohn disease. However, there is no way to measure adherence to PBDs. Objective To develop a simple way of evaluating adherence to a PBD for Japanese patients with inflammatory bowel disease (IBD). Design PBD scores were assigned according to the frequency of consumption provided on a food-frequency questionnaire, obtained on hospitalization for 159 patients with ulcerative colitis and 70 patients with Crohn disease. Eight items considered to be preventive factors for IBD were scored positively, and 8 items considered to be IBD risk factors were scored negatively. The PBD score was calculated from the sum of plus and minus scores. Higher PBD scores indicated greater adherence to a PBD. The PBD scores were evaluated on hospitalization and 2 years after discharge for 22 patients with Crohn disease whose dietary pattern and prognosis were established. Main Outcome Measure Plant-Based Diet score. Results The PBD scores differed significantly, in descending order, by dietary type: pro-Japanese diet, mixed type, and pro-westernized diet (Wilcoxon/Kruskal-Wallis test). The PBD scores in the ulcerative colitis and Crohn disease groups were 10.9 ± 9.5 and 8.2 ± 8.2, respectively. For patients with Crohn disease, those with long-term remission and normal C-reactive protein concentration were significantly more likely to have PBD scores of 25 or greater than below 25 (χ2). Conclusion The PBD score is a valid assessment of PBD dietary adherence. PMID:27768566

  1. Motif-based success scores in coauthorship networks are highly sensitive to author name disambiguation

    Science.gov (United States)

    Klosik, David F.; Bornholdt, Stefan; Hütt, Marc-Thorsten

    2014-09-01

    Following the work of Krumov et al. [Eur. Phys. J. B 84, 535 (2011), 10.1140/epjb/e2011-10746-5] we revisit the question whether the usage of large citation datasets allows for the quantitative assessment of social (by means of coauthorship of publications) influence on the progression of science. Applying a more comprehensive and well-curated dataset containing the publications in the journals of the American Physical Society during the whole 20th century we find that the measure chosen in the original study, a score based on small induced subgraphs, has to be used with caution, since the obtained results are highly sensitive to the exact implementation of the author disambiguation task.

  2. A Network-Based Data Envelope Analysis Model in a Dynamic Balanced Score Card

    Directory of Open Access Journals (Sweden)

    Mojtaba Akbarian

    2015-01-01

    Full Text Available Performance assessment during the time and along with strategies is the most important requirements of top managers. To assess the performance, a balanced score card (BSC along with strategic goals and a data envelopment analysis (DEA are used as powerful qualitative and quantitative tools, respectively. By integrating these two models, their strengths are used and their weaknesses are removed. In this paper, an integrated framework of the BSC and DEA models is proposed for measuring the efficiency during the time and along with strategies based on the time delay of the lag key performance indicators (KPIs of the BSC model. The causal relationships during the time among perspectives of the BSC model are drawn as dynamic BSC at first. Then, after identifying the network-DEA structure, a new objective function for measuring the efficiency of nine subsidiary refineries of the National Iranian Oil Refining and Distribution Company (NIORDC during the time and along with strategies is developed.

  3. Energy Information Data Base: serial titles

    International Nuclear Information System (INIS)

    1980-06-01

    The Department of Energy Technical Information Center (TIC) is responsible for creating bibliographic data bases that are used in the announcement and retrieval of publications dealing with all phases of energy. The TIC interactive information processing system makes use of a number of computerized authorities so that consistency can be maintained and indexes can be produced. One such authority is the Energy Information Data Base: Serial Titles. This authority contains the full and abbreviated journal title, country of publication, CODEN, and certain codes. This revision replaces previous revisions of this document

  4. Team-based learning on a third-year pediatric clerkship improves NBME subject exam blood disorder scores

    Directory of Open Access Journals (Sweden)

    Kris Saudek

    2015-10-01

    Full Text Available Purpose: At our institution, speculation amongst medical students and faculty exists as to whether team-based learning (TBL can improve scores on high-stakes examinations over traditional didactic lectures. Faculty with experience using TBL developed and piloted a required TBL blood disorders (BD module for third-year medical students on their pediatric clerkship. The purpose of this study is to analyze the BD scores from the NBME subject exams before and after the introduction of the module. Methods: We analyzed institutional and national item difficulties for BD items from the NBME pediatrics content area item analysis reports from 2011 to 2014 before (pre and after (post the pilot (October 2012. Total scores of 590 NBME subject examination students from examinee performance profiles were analyzed pre/post. t-Tests and Cohen's d effect sizes were used to analyze item difficulties for institutional versus national scores and pre/post comparisons of item difficulties and total scores. Results: BD scores for our institution were 0.65 (±0.19 compared to 0.62 (±0.15 nationally (P=0.346; Cohen's d=0.15. The average of post-consecutive BD scores for our students was 0.70(±0.21 compared to examinees nationally [0.64 (±0.15] with a significant mean difference (P=0.031; Cohen's d=0.43. The difference in our institutions pre [0.65 (±0.19] and post [0.70 (±0.21] BD scores trended higher (P=0.391; Cohen's d=0.27. Institutional BD scores were higher than national BD scores for both pre and post, with an effect size that tripled from pre to post scores. Institutional BD scores increased after the use of the TBL module, while overall exam scores remained steadily above national norms. Conclusions: Institutional BD scores were higher than national BD scores for both pre and post, with an effect size that tripled from pre to post scores. Institutional BD scores increased after the use of the TBL module, while overall exam scores remained steadily above

  5. A robust background regression based score estimation algorithm for hyperspectral anomaly detection

    Science.gov (United States)

    Zhao, Rui; Du, Bo; Zhang, Liangpei; Zhang, Lefei

    2016-12-01

    Anomaly detection has become a hot topic in the hyperspectral image analysis and processing fields in recent years. The most important issue for hyperspectral anomaly detection is the background estimation and suppression. Unreasonable or non-robust background estimation usually leads to unsatisfactory anomaly detection results. Furthermore, the inherent nonlinearity of hyperspectral images may cover up the intrinsic data structure in the anomaly detection. In order to implement robust background estimation, as well as to explore the intrinsic data structure of the hyperspectral image, we propose a robust background regression based score estimation algorithm (RBRSE) for hyperspectral anomaly detection. The Robust Background Regression (RBR) is actually a label assignment procedure which segments the hyperspectral data into a robust background dataset and a potential anomaly dataset with an intersection boundary. In the RBR, a kernel expansion technique, which explores the nonlinear structure of the hyperspectral data in a reproducing kernel Hilbert space, is utilized to formulate the data as a density feature representation. A minimum squared loss relationship is constructed between the data density feature and the corresponding assigned labels of the hyperspectral data, to formulate the foundation of the regression. Furthermore, a manifold regularization term which explores the manifold smoothness of the hyperspectral data, and a maximization term of the robust background average density, which suppresses the bias caused by the potential anomalies, are jointly appended in the RBR procedure. After this, a paired-dataset based k-nn score estimation method is undertaken on the robust background and potential anomaly datasets, to implement the detection output. The experimental results show that RBRSE achieves superior ROC curves, AUC values, and background-anomaly separation than some of the other state-of-the-art anomaly detection methods, and is easy to implement

  6. Who puts the most energy into energy conservation? A segmentation of energy consumers based on energy-related behavioral characteristics

    International Nuclear Information System (INIS)

    Sütterlin, Bernadette; Brunner, Thomas A.; Siegrist, Michael

    2011-01-01

    The present paper aims to identify and describe different types of energy consumers in a more comprehensive way than previous segmentation studies using cluster analysis. Energy consumers were segmented based on their energy-related behavioral characteristics. In addition to purchase- and curtailment-related energy-saving behavior, consumer classification was also based on acceptance of policy measures and energy-related psychosocial factors, so the used behavioral segmentation base was more comprehensive compared to other studies. Furthermore, differentiation between the energy-saving purchase of daily products, such as food, and of energy efficient appliances allowed a more differentiated characterization of the energy consumer segments. The cluster analysis revealed six energy consumer segments: the idealistic, the selfless inconsequent, the thrifty, the materialistic, the convenience-oriented indifferent, and the problem-aware well-being-oriented energy consumer. Findings emphasize that using a broader and more distinct behavioral base is crucial for an adequate and differentiated description of energy consumer types. The paper concludes by highlighting the most promising energy consumer segments and discussing possible segment-specific marketing and policy strategies. - Highlights: ► By applying a cluster-analytic approach, new energy consumer segments are identified. ► A comprehensive, differentiated description of the different energy consumer types is provided. ► A distinction between purchase of daily products and energy efficient appliances is essential. ► Behavioral variables are a more suitable base for segmentation than general characteristics.

  7. Changing to AIS 2005 and agreement of injury severity scores in a trauma registry with scores based on manual chart review.

    Science.gov (United States)

    Stewart, Kenneth E; Cowan, Linda D; Thompson, David M

    2011-09-01

    The Abbreviated Injury Scale (AIS) recently underwent a major revision from AIS 98 to AIS 05. AIS injury codes form the basis of widely used injury severity scores such as the injury severity score (ISS). ISS thresholds are often used in trauma case definitions and ISS is widely used in injury research to adjust for injury severity. This study evaluated changes from AIS 98 to AIS 05, the changes' effect on ISS distributions, and presents an application of the results. Injury descriptions from medical records of 137 randomly selected patients in the Oklahoma Trauma Registry (OTR) were obtained. A single trained coder used AIS 98 and AIS 05 to code each injury. ISS values were calculated and grouped into 4 categories: 1-8, 9-14, 16-24, >24. Paired ISS was compared using Kappa statistics and tests of symmetry. We identified common injury diagnoses for which AIS severity changed between versions. Estimates of the proportion of patients changing ISS groups were applied to the entire OTR to assess the impact on reporting and on a model for reimbursement. OTR AIS 98 and manual AIS 98-based ISS values had a weighted Kappa of 0.71. OTR AIS 98 and manual AIS 05-based ISS values had a Kappa of 0.58. Manual AIS 98 and manual AIS 05 ISS had the highest Kappa of 0.81, however, though the scores differed by only 1 ISS category, there were 30 discordant pairs. The distribution of these discordant pairs was not symmetrical (Bowker's S=30; df=6; p<0.0001) with AIS 05-based ISS values consistently shifted to a lower ISS category. Reductions in AIS severity and ISS values using AIS 05 were common for extremity fractures and thorax injuries. The results suggest fewer patients would be reported to the OTR or be eligible for reimbursement. Changing from AIS 98 to AIS 05 injury coding resulted in systematic changes in AIS codes and ISS. Specific injuries and body regions were differentially affected. Trauma registries and injury researchers that use AIS based injury coding can use this

  8. Novel Inflammation-Based Prognostic Score for Predicting Survival in Patients with Metastatic Urothelial Carcinoma.

    Directory of Open Access Journals (Sweden)

    Yu-Li Su

    Full Text Available We developed a novel inflammation-based model (NPS, which consisted of a neutrophil to lymphocyte ratio (NLR and platelet count (PC, for assessing the prognostic role in patients with metastatic urothelial carcinoma (UC.We performed a retrospective analysis of patients with metastatic UC who underwent systemic chemotherapy between January 1997 and December 2014 in Kaohsiung Chang Gung Memorial Hospital. The defined cutoff values for the NLR and PC were 3.0 and 400 × 103/μL, respectively. Patients were scored 1 for either an elevated NLR or PC, and 0 otherwise. The NPS was calculated by summing the scores, ranging from 0 to 2. The primary endpoint was overall survival (OS by using Kaplan-Meier analysis. Multivariate Cox regression analysis was used to identify the independent prognostic factors for OS.In total, 256 metastatic UC patients were enrolled. Univariate analysis revealed that patients with either a high NLR or PC had a significantly shorter survival rate compared with those with a low NLR (P = .001 or PC (P < .0001. The median OS in patients with NPS 0, 1, and 2 was 19.0, 12.8, and 9.3 months, respectively (P < .0001. Multivariate analysis revealed that NPS, along with the histologic variant, liver metastasis, age, and white cell count, was an independent factor facilitating OS prediction (hazard ratio 1.64, 95% confidence interval 1.20-2.24, P = .002.The NLR and PC are independent prognostic factors for OS in patients with metastatic UC. The NPS model has excellent discriminant ability for OS.

  9. Validity and predictive ability of the juvenile arthritis disease activity score based on CRP versus ESR in a Nordic population-based setting

    DEFF Research Database (Denmark)

    Nordal, E B; Zak, M; Aalto, K

    2012-01-01

    To compare the juvenile arthritis disease activity score (JADAS) based on C reactive protein (CRP) (JADAS-CRP) with JADAS based on erythrocyte sedimentation rate (ESR) (JADAS-ESR) and to validate JADAS in a population-based setting.......To compare the juvenile arthritis disease activity score (JADAS) based on C reactive protein (CRP) (JADAS-CRP) with JADAS based on erythrocyte sedimentation rate (ESR) (JADAS-ESR) and to validate JADAS in a population-based setting....

  10. Virtual screening approach to identifying influenza virus neuraminidase inhibitors using molecular docking combined with machine-learning-based scoring function.

    Science.gov (United States)

    Zhang, Li; Ai, Hai-Xin; Li, Shi-Meng; Qi, Meng-Yuan; Zhao, Jian; Zhao, Qi; Liu, Hong-Sheng

    2017-10-10

    In recent years, an epidemic of the highly pathogenic avian influenza H7N9 virus has persisted in China, with a high mortality rate. To develop novel anti-influenza therapies, we have constructed a machine-learning-based scoring function (RF-NA-Score) for the effective virtual screening of lead compounds targeting the viral neuraminidase (NA) protein. RF-NA-Score is more accurate than RF-Score, with a root-mean-square error of 1.46, Pearson's correlation coefficient of 0.707, and Spearman's rank correlation coefficient of 0.707 in a 5-fold cross-validation study. The performance of RF-NA-Score in a docking-based virtual screening of NA inhibitors was evaluated with a dataset containing 281 NA inhibitors and 322 noninhibitors. Compared with other docking-rescoring virtual screening strategies, rescoring with RF-NA-Score significantly improved the efficiency of virtual screening, and a strategy that averaged the scores given by RF-NA-Score, based on the binding conformations predicted with AutoDock, AutoDock Vina, and LeDock, was shown to be the best strategy. This strategy was then applied to the virtual screening of NA inhibitors in the SPECS database. The 100 selected compounds were tested in an in vitro H7N9 NA inhibition assay, and two compounds with novel scaffolds showed moderate inhibitory activities. These results indicate that RF-NA-Score improves the efficiency of virtual screening for NA inhibitors, and can be used successfully to identify new NA inhibitor scaffolds. Scoring functions specific for other drug targets could also be established with the same method.

  11. Acoustic energy harvesting based on multilateral metasurfaces

    Science.gov (United States)

    Qi, Shuibao; Assouar, Badreddine

    2017-12-01

    We theoretically and numerically report on an innovative acoustic energy harvester based on acoustic multilateral metasurfaces and a piezoelectric bimorph. The coiling-up-space concept realized by labyrinthine units is applied to achieve the desired phase profiles for the acoustic focusing and energy confinement. The acoustic energy confined by the metasurfaces from a point source is converted into electrical energy by a structured piezoelectric bimorph. Numerical simulations and theoretical analysis evidenced that the output voltage and power drastically increase with the sides of the multilateral metasurface energy harvesting system. Maximum output voltage and power 52 and 407 times higher than those under the case without metasurfaces are achieved with enclosed multilateral metasurface design.

  12. Generalized composite multiscale permutation entropy and Laplacian score based rolling bearing fault diagnosis

    Science.gov (United States)

    Zheng, Jinde; Pan, Haiyang; Yang, Shubao; Cheng, Junsheng

    2018-01-01

    Multiscale permutation entropy (MPE) is a recently proposed nonlinear dynamic method for measuring the randomness and detecting the nonlinear dynamic change of time series and can be used effectively to extract the nonlinear dynamic fault feature from vibration signals of rolling bearing. To solve the drawback of coarse graining process in MPE, an improved MPE method called generalized composite multiscale permutation entropy (GCMPE) was proposed in this paper. Also the influence of parameters on GCMPE and its comparison with the MPE are studied by analyzing simulation data. GCMPE was applied to the fault feature extraction from vibration signal of rolling bearing and then based on the GCMPE, Laplacian score for feature selection and the Particle swarm optimization based support vector machine, a new fault diagnosis method for rolling bearing was put forward in this paper. Finally, the proposed method was applied to analyze the experimental data of rolling bearing. The analysis results show that the proposed method can effectively realize the fault diagnosis of rolling bearing and has a higher fault recognition rate than the existing methods.

  13. Effects of Internet and Smartphone Addictions on Depression and Anxiety Based on Propensity Score Matching Analysis

    Directory of Open Access Journals (Sweden)

    Yeon-Jin Kim

    2018-04-01

    Full Text Available The associations of Internet addiction (IA and smartphone addiction (SA with mental health problems have been widely studied. We investigated the effects of IA and SA on depression and anxiety while adjusting for sociodemographic variables. In this study, 4854 participants completed a cross-sectional web-based survey including socio-demographic items, the Korean Scale for Internet Addiction, the Smartphone Addiction Proneness Scale, and the subscales of the Symptom Checklist 90 Items-Revised. The participants were classified into IA, SA, and normal use (NU groups. To reduce sampling bias, we applied the propensity score matching method based on genetics matching. The IA group showed an increased risk of depression (relative risk 1.207; p < 0.001 and anxiety (relative risk 1.264; p < 0.001 compared to NUs. The SA group also showed an increased risk of depression (relative risk 1.337; p < 0.001 and anxiety (relative risk 1.402; p < 0.001 compared to NCs. These findings show that both, IA and SA, exerted significant effects on depression and anxiety. Moreover, our findings showed that SA has a stronger relationship with depression and anxiety, stronger than IA, and emphasized the need for prevention and management policy of the excessive smartphone use.

  14. Identification of altered pathways in breast cancer based on individualized pathway aberrance score.

    Science.gov (United States)

    Shi, Sheng-Hong; Zhang, Wei; Jiang, Jing; Sun, Long

    2017-08-01

    The objective of the present study was to identify altered pathways in breast cancer based on the individualized pathway aberrance score (iPAS) method combined with the normal reference (nRef). There were 4 steps to identify altered pathways using the iPAS method: Data preprocessing conducted by the robust multi-array average (RMA) algorithm; gene-level statistics based on average Z ; pathway-level statistics according to iPAS; and a significance test dependent on 1 sample Wilcoxon test. The altered pathways were validated by calculating the changed percentage of each pathway in tumor samples and comparing them with pathways from differentially expressed genes (DEGs). A total of 688 altered pathways with Ppathways were involved in the total 688 altered pathways, which may validate the present results. In addition, there were 324 DEGs and 155 common genes between DEGs and pathway genes. DEGs and common genes were enriched in the same 9 significant terms, which also were members of altered pathways. The iPAS method was suitable for identifying altered pathways in breast cancer. Altered pathways (such as KIF and PLK mediated events) were important for understanding breast cancer mechanisms and for the future application of customized therapeutic decisions.

  15. Fuzzy weighted average based on left and right scores in Malaysia tourism industry

    Science.gov (United States)

    Kamis, Nor Hanimah; Abdullah, Kamilah; Zulkifli, Muhammad Hazim; Sahlan, Shahrazali; Mohd Yunus, Syaizzal

    2013-04-01

    Tourism is known as an important sector to the Malaysian economy including economic generator, creating business and job offers. It is reported to bring in almost RM30 billion of the national income, thanks to intense worldwide promotion by Tourism Malaysia. One of the well-known attractions in Malaysia is our beautiful islands. The islands continue to be developed into tourist spots and attracting a continuous number of tourists. Chalets, luxury bungalows and resorts quickly develop along the coastlines of popular islands like Tioman, Redang, Pangkor, Perhentian, Sibu and so many others. In this study, we applied Fuzzy Weighted Average (FWA) method based on left and right scores in order to determine the criteria weights and to select the best island in Malaysia. Cost, safety, attractive activities, accommodation and scenery are five main criteria to be considered and five selected islands in Malaysia are taken into accounts as alternatives. The most important criteria that have been considered by the tourist are defined based on criteria weights ranking order and the best island in Malaysia is then determined in terms of FWA values. This pilot study can be used as a reference to evaluate performances or solving any selection problems, where more criteria, alternatives and decision makers will be considered in the future.

  16. Evaluation of a novel scoring and grading model for VP-based exams in postgraduate nurse education.

    Science.gov (United States)

    Forsberg, Elenita; Ziegert, Kristina; Hult, Håkan; Fors, Uno

    2015-12-01

    For Virtual Patient-based exams, several scoring and grading methods have been proposed, but none have yet been validated. The aim of this study was to evaluate a new scoring and grading model for VP-based exams in postgraduate paediatric nurse education. The same student group of 19 students performed a VP-based exam in three consecutive courses. When using the scoring and grading assessment model, which contains a deduction system for unnecessary or unwanted actions, a progression was found in the three courses: 53% of the students passed the first exam, 63% the second and 84% passed the final exam. The most common reason for deduction of points was due to students asking too many interview questions or ordering too many laboratory tests. The results showed that the new scoring model made it possible to judge the students' clinical reasoning process as well as their progress. Copyright © 2015 Elsevier Ltd. All rights reserved.

  17. Tariff based value of wind energy

    Energy Technology Data Exchange (ETDEWEB)

    Raekkoelaeinen, J.; Vilkko, M.; Antila, H.; Lautala, P. [Tampere Univ. of Technology (Finland)

    1995-12-31

    In this article an approach for determining a value of wind energy is presented. Calculation is based on wholesale tariffs, i.e. the value of wind energy is defined in comparison with other purchase. This approach can be utilised as an aid in the investment planning in defining the benefits of new wind generation capacity. Linear programming optimization method is used. A case study is presented for different wind scenarios. The value of wind energy can vary remarkably depending on timing of power output. (author)

  18. Tariff based value of wind energy

    International Nuclear Information System (INIS)

    Raekkoelaeinen, J.; Vilkko, M.; Antila, H.; Lautala, P.

    1995-01-01

    In this article an approach for determining a value of wind energy is presented. Calculation is based on wholesale tariffs, i.e. the value of wind energy is defined in comparison with other purchase. This approach can be utilised as an aid in the investment planning in defining the benefits of new wind generation capacity. Linear programming optimization method is used. A case study is presented for different wind scenarios. The value of wind energy can vary remarkably depending on timing of power output. (author)

  19. Performance of machine-learning scoring functions in structure-based virtual screening.

    Science.gov (United States)

    Wójcikowski, Maciej; Ballester, Pedro J; Siedlecki, Pawel

    2017-04-25

    Classical scoring functions have reached a plateau in their performance in virtual screening and binding affinity prediction. Recently, machine-learning scoring functions trained on protein-ligand complexes have shown great promise in small tailored studies. They have also raised controversy, specifically concerning model overfitting and applicability to novel targets. Here we provide a new ready-to-use scoring function (RF-Score-VS) trained on 15 426 active and 893 897 inactive molecules docked to a set of 102 targets. We use the full DUD-E data sets along with three docking tools, five classical and three machine-learning scoring functions for model building and performance assessment. Our results show RF-Score-VS can substantially improve virtual screening performance: RF-Score-VS top 1% provides 55.6% hit rate, whereas that of Vina only 16.2% (for smaller percent the difference is even more encouraging: RF-Score-VS top 0.1% achieves 88.6% hit rate for 27.5% using Vina). In addition, RF-Score-VS provides much better prediction of measured binding affinity than Vina (Pearson correlation of 0.56 and -0.18, respectively). Lastly, we test RF-Score-VS on an independent test set from the DEKOIS benchmark and observed comparable results. We provide full data sets to facilitate further research in this area (http://github.com/oddt/rfscorevs) as well as ready-to-use RF-Score-VS (http://github.com/oddt/rfscorevs_binary).

  20. Can Mapping Algorithms Based on Raw Scores Overestimate QALYs Gained by Treatment? A Comparison of Mappings Between the Roland-Morris Disability Questionnaire and the EQ-5D-3L Based on Raw and Differenced Score Data.

    Science.gov (United States)

    Madan, Jason; Khan, Kamran A; Petrou, Stavros; Lamb, Sarah E

    2017-05-01

    Mapping algorithms are increasingly being used to predict health-utility values based on responses or scores from non-preference-based measures, thereby informing economic evaluations. We explored whether predictions in the EuroQol 5-dimension 3-level instrument (EQ-5D-3L) health-utility gains from mapping algorithms might differ if estimated using differenced versus raw scores, using the Roland-Morris Disability Questionnaire (RMQ), a widely used health status measure for low back pain, as an example. We estimated algorithms mapping within-person changes in RMQ scores to changes in EQ-5D-3L health utilities using data from two clinical trials with repeated observations. We also used logistic regression models to estimate response mapping algorithms from these data to predict within-person changes in responses to each EQ-5D-3L dimension from changes in RMQ scores. Predicted health-utility gains from these mappings were compared with predictions based on raw RMQ data. Using differenced scores reduced the predicted health-utility gain from a unit decrease in RMQ score from 0.037 (standard error [SE] 0.001) to 0.020 (SE 0.002). Analysis of response mapping data suggests that the use of differenced data reduces the predicted impact of reducing RMQ scores across EQ-5D-3L dimensions and that patients can experience health-utility gains on the EQ-5D-3L 'usual activity' dimension independent from improvements captured by the RMQ. Mappings based on raw RMQ data overestimate the EQ-5D-3L health utility gains from interventions that reduce RMQ scores. Where possible, mapping algorithms should reflect within-person changes in health outcome and be estimated from datasets containing repeated observations if they are to be used to estimate incremental health-utility gains.

  1. Tumor size and invasiveness matters for partial nephrectomy: External validation and modification of the arterial based complexity score.

    Science.gov (United States)

    Kriegmair, Maximilian C; Hetjens, Svetlana; Mandel, Philipp; Wadle, Jula; Budjan, Johannes; Michel, Maurice S; Pfalzgraf, Daniel; Wagener, Nina

    2017-05-01

    Outcome of partial nephrectomy (PN) depends on anatomic features of the renal tumor, which can be assessed by nephrometry scores. The aim was to externally validate and refine the Arterial Based Complexity (ABC) score and to compare it to established systems. Tumors of 300 patients undergoing PN were categorized according to the ABC, RENAL, and PADUA score. Size and tumor invasiveness were combined to form the ABCD score. Correlation analysis and multivariate logistic regression was performed to validate and compare the respective scores as predictors of surgical outcome. The ABC score shows significant correlation with ischemia time (IT) (P < 0.01), opening of the collecting system (CS) (P < 0.01), and conversion to nephrectomy (P = 0.01). In the multivariate analysis, the ABC score was predictive for on-clamp excision (P < 0.01) and opening of the CS (P < 0.01) only. The RENAL and ABCD scores were independent predictors for complications (P = 0.02, P = 0.05), IT (P < 0.01, P = 0.03), on clamp excision (P < 0.01, P < 0.01), and opening of the CS (P < 0.01, P < 0.01). The ABC score correlates well with surgical parameters. Expanding the score by tumor diameter gives the ABCD system. It has similar predictive effectiveness to the well-established RENAL score, but features simplicity by only assessing invasiveness and tumor size. © 2017 Wiley Periodicals, Inc.

  2. Comparison of Duke ergo-metric score and of the classification based on scintigraphic data in the stratification of coronaries

    International Nuclear Information System (INIS)

    Ouhayoun, E.; Coca, F.J.; Payoux, P.; Tafani, J.A.M.; Esquerre, J.P.

    1997-01-01

    Stratification of risk (sudden death and infarction) remains a major problem of the way the coronaries are cared. Since 1987, a score based on the test-to-effort data was proposed by Mark and coll. of 'Duke University' team. They tried to demonstrate that this score provides a reliable classification of patients. We have compared the results obtained by using this score with those issued from the simultaneous analysis of the left ventricle (LV) function and LV perfusion. A hundred patients afflicted with coronaries (stenoses > 50%) benefited by a coupled study of the LV function and perfusion at rest and under effort made by means of MIBI scintigraphy. The effort test allowed calculating the 'Duke' score by means of a formula in terms of the angor index defined as follows: 0 for absence, 1 for angor and 2 for angor motivating cessation. According to Duke score three classes can be defined: patients of low risk, score ≥ 5; patients of intermediate risk, score in between 5 and -10; patients of high risk, score ≤ -10. Ejection fraction at effort acme was measured in every patient as well as the extension of perfusion defect, evaluated semi-quantitatively at effort and rest on the basis of bull's eye. Three groups of patients were created according to the results of perfusion+function couple): (A)- normal perfusion and function, the case of good prognostication; (B)- patients slightly afflicted (FEV effort > 50% and in-effort defect extension effort 50%). The last criteria were proved by several studies as bad prognostication. A table presents the risks according the Duke score for the three classes. One can observe that one third of the patients severely afflicted by confirmed ischemia are classified in the low-risk class. Besides, the majority of patients are ranked with intermediary risk, independently of scintigraphic results. In conclusion, these results concerning the stratification of coronaries show the superiority of the criteria based on scintigraphy over

  3. Speed-Accuracy Response Models: Scoring Rules Based on Response Time and Accuracy

    Science.gov (United States)

    Maris, Gunter; van der Maas, Han

    2012-01-01

    Starting from an explicit scoring rule for time limit tasks incorporating both response time and accuracy, and a definite trade-off between speed and accuracy, a response model is derived. Since the scoring rule is interpreted as a sufficient statistic, the model belongs to the exponential family. The various marginal and conditional distributions…

  4. Diagnosing vasovagal syncope based on quantitative history-taking: validation of the Calgary Syncope Symptom Score

    NARCIS (Netherlands)

    Romme, Jacobus J. C. M.; van Dijk, Nynke; Boer, Kimberly R.; Bossuyt, Patrick M. M.; Wieling, Wouter; Reitsma, Johannes B.

    2009-01-01

    Aims It can be difficult to distinguish vasovagal syncope, the most common cause of transient loss of consciousness (T-LOC), from other causes of syncope by history taking. The Calgary Syncope Symptom Score (Calgary Score) is a toot developed for this purpose. We studied its performance in a series

  5. An acoustic feature-based similarity scoring system for speech rehabilitation assistance.

    Science.gov (United States)

    Syauqy, Dahnial; Wu, Chao-Min; Setyawati, Onny

    2016-08-01

    The purpose of this study is to develop a tool to assist speech therapy and rehabilitation, which focused on automatic scoring based on the comparison of the patient's speech with another normal speech on several aspects including pitch, vowel, voiced-unvoiced segments, strident fricative and sound intensity. The pitch estimation employed the use of cepstrum-based algorithm for its robustness; the vowel classification used multilayer perceptron (MLP) to classify vowel from pitch and formants; and the strident fricative detection was based on the major peak spectral intensity, location and the pitch existence in the segment. In order to evaluate the performance of the system, this study analyzed eight patient's speech recordings (four males, four females; 4-58-years-old), which had been recorded in previous study in cooperation with Taipei Veterans General Hospital and Taoyuan General Hospital. The experiment result on pitch algorithm showed that the cepstrum method had 5.3% of gross pitch error from a total of 2086 frames. On the vowel classification algorithm, MLP method provided 93% accuracy (men), 87% (women) and 84% (children). In total, the overall results showed that 156 tool's grading results (81%) were consistent compared to 192 audio and visual observations done by four experienced respondents. Implication for Rehabilitation Difficulties in communication may limit the ability of a person to transfer and exchange information. The fact that speech is one of the primary means of communication has encouraged the needs of speech diagnosis and rehabilitation. The advances of technology in computer-assisted speech therapy (CAST) improve the quality, time efficiency of the diagnosis and treatment of the disorders. The present study attempted to develop tool to assist speech therapy and rehabilitation, which provided simple interface to let the assessment be done even by the patient himself without the need of particular knowledge of speech processing while at the

  6. Machine-learning scoring functions to improve structure-based binding affinity prediction and virtual screening.

    Science.gov (United States)

    Ain, Qurrat Ul; Aleksandrova, Antoniya; Roessler, Florian D; Ballester, Pedro J

    2015-01-01

    Docking tools to predict whether and how a small molecule binds to a target can be applied if a structural model of such target is available. The reliability of docking depends, however, on the accuracy of the adopted scoring function (SF). Despite intense research over the years, improving the accuracy of SFs for structure-based binding affinity prediction or virtual screening has proven to be a challenging task for any class of method. New SFs based on modern machine-learning regression models, which do not impose a predetermined functional form and thus are able to exploit effectively much larger amounts of experimental data, have recently been introduced. These machine-learning SFs have been shown to outperform a wide range of classical SFs at both binding affinity prediction and virtual screening. The emerging picture from these studies is that the classical approach of using linear regression with a small number of expert-selected structural features can be strongly improved by a machine-learning approach based on nonlinear regression allied with comprehensive data-driven feature selection. Furthermore, the performance of classical SFs does not grow with larger training datasets and hence this performance gap is expected to widen as more training data becomes available in the future. Other topics covered in this review include predicting the reliability of a SF on a particular target class, generating synthetic data to improve predictive performance and modeling guidelines for SF development. WIREs Comput Mol Sci 2015, 5:405-424. doi: 10.1002/wcms.1225 For further resources related to this article, please visit the WIREs website.

  7. Edinburgh Cognitive and Behavioural ALS Screen (ECAS)-Italian version: regression based norms and equivalent scores.

    Science.gov (United States)

    Siciliano, Mattia; Trojano, Luigi; Trojsi, Francesca; Greco, Roberta; Santoro, Manuela; Basile, Giuseppe; Piscopo, Fausta; D'Iorio, Alfonsina; Patrone, Manila; Femiano, Cinzia; Monsurrò, Mariarosaria; Tedeschi, Gioacchino; Santangelo, Gabriella

    2017-06-01

    Cognitive assessment for individuals with Amyotrophic Lateral Sclerosis (ALS) can be difficult because of frequent occurrence of difficulties with speech, writing, and drawing. The Edinburgh Cognitive and Behavioural ALS Screen (ECAS) is a recent multi-domain neuropsychological screening tool specifically devised for this purpose, and it assesses the following domains: executive functions, social cognition, verbal fluency and language (ALS-specific), but also memory and visuospatial abilities (Non-ALS specific). ECAS total score ranges from 0 (worst performance) to 136 (best performance). Moreover, a brief caregiver interview provides an assessment of behaviour changes and psychotic symptoms usually associated with ALS patients. The aim of the present study was to provide normative values for ECAS total score and sub-scores in a sample of Italian healthy subjects. Two hundred and seventy-seven Italian healthy subjects (151 women and 126 men; age range 30-79 years; educational level from primary school to university) underwent ECAS and Montreal Cognitive Assessment (MoCA). Multiple linear regression analysis revealed that age and education significantly influenced performance on ECAS total score and sub-scale scores. From the derived linear equation, a correction grid for raw scores was built. Inferential cut-off scores were estimated using a non-parametric technique and equivalent scores (ES) were computed. Correlation analysis showed a good significant correlation between adjusted ECAS total scores with adjusted MoCA total scores (r rho  = 0.669, p < 0.0001). The present study provided normative data for the ECAS in an Italian population useful for both clinical and research purposes.

  8. Classification of Airflow Limitation Based on z-Score Underestimates Mortality in Patients with Chronic Obstructive Pulmonary Disease.

    Science.gov (United States)

    Tejero, Elena; Prats, Eva; Casitas, Raquel; Galera, Raúl; Pardo, Paloma; Gavilán, Adelaida; Martínez-Cerón, Elisabet; Cubillos-Zapata, Carolina; Del Peso, Luis; García-Río, Francisco

    2017-08-01

    Global Lung Function Initiative recommends reporting lung function measures as z-score, and a classification of airflow limitation (AL) based on this parameter has recently been proposed. To evaluate the prognostic capacity of the AL classifications based on z-score or percentage predicted of FEV 1 in patients with chronic obstructive pulmonary disease (COPD). A cohort of 2,614 patients with COPD recruited outside the hospital setting was examined after a mean (± SD) of 57 ± 13 months of follow-up, totaling 10,322 person-years. All-cause mortality was analyzed, evaluating the predictive capacity of several AL staging systems. Based on Global Initiative for Chronic Obstructive Lung Disease guidelines, 461 patients (17.6%) had mild, 1,452 (55.5%) moderate, 590 (22.6%) severe, and 111 (4.2%) very severe AL. According to z-score classification, 66.3% of patients remained with the same severity, whereas 23.7% worsened and 10.0% improved. Unlike other staging systems, patients with severe AL according to z-score had higher mortality than those with very severe AL (increase of risk by 5.2 and 3.9 times compared with mild AL, respectively). The predictive capacity for 5-year survival was slightly higher for FEV 1 expressed as percentage of predicted than as z-score (area under the curve: 0.714-0.760 vs. 0.649-0.708, respectively). A severity-dependent relationship between AL grades by z-score and mortality was only detected in patients younger than age 60 years. In patients with COPD, the AL classification based on z-score predicts worse mortality than those based on percentage of predicted. It is possible that the z-score underestimates AL severity in patients older than 60 years of age with severe functional impairment.

  9. Graphene-Based Systems for Energy Storage

    Science.gov (United States)

    Calle, Carlos I.; Mackey, Paul J.; Johansen, Michael R.; Phillips, James, III; Hogue, Michael; Kaner, Richard B.; El-Kady, Maher

    2016-01-01

    Development of graphene-based energy storage devices based on the Laser Scribe system developed by the University of California Los Angeles. These devices These graphene-based devices store charge on graphene sheets and take advantage of the large accessible surface area of graphene (2,600 m2g) to increase the electrical energy that can be stored. The proposed devices should have the electrical storage capacity of thin-film-ion batteries but with much shorter charge discharge cycle times as well as longer lives The proposed devices will be carbon-based and so will not have the same issues with flammability or toxicity as the standard lithium-based storage cells.

  10. Weighted score-level feature fusion based on Dempster-Shafer evidence theory for action recognition

    Science.gov (United States)

    Zhang, Guoliang; Jia, Songmin; Li, Xiuzhi; Zhang, Xiangyin

    2018-01-01

    The majority of human action recognition methods use multifeature fusion strategy to improve the classification performance, where the contribution of different features for specific action has not been paid enough attention. We present an extendible and universal weighted score-level feature fusion method using the Dempster-Shafer (DS) evidence theory based on the pipeline of bag-of-visual-words. First, the partially distinctive samples in the training set are selected to construct the validation set. Then, local spatiotemporal features and pose features are extracted from these samples to obtain evidence information. The DS evidence theory and the proposed rule of survival of the fittest are employed to achieve evidence combination and calculate optimal weight vectors of every feature type belonging to each action class. Finally, the recognition results are deduced via the weighted summation strategy. The performance of the established recognition framework is evaluated on Penn Action dataset and a subset of the joint-annotated human metabolome database (sub-JHMDB). The experiment results demonstrate that the proposed feature fusion method can adequately exploit the complementarity among multiple features and improve upon most of the state-of-the-art algorithms on Penn Action and sub-JHMDB datasets.

  11. Spatial enhancement of ECG using diagnostic similarity score based lead selective multi-scale linear model.

    Science.gov (United States)

    Nallikuzhy, Jiss J; Dandapat, S

    2017-06-01

    In this work, a new patient-specific approach to enhance the spatial resolution of ECG is proposed and evaluated. The proposed model transforms a three-lead ECG into a standard twelve-lead ECG thereby enhancing its spatial resolution. The three leads used for prediction are obtained from the standard twelve-lead ECG. The proposed model takes advantage of the improved inter-lead correlation in wavelet domain. Since the model is patient-specific, it also selects the optimal predictor leads for a given patient using a lead selection algorithm. The lead selection algorithm is based on a new diagnostic similarity score which computes the diagnostic closeness between the original and the spatially enhanced leads. Standard closeness measures are used to assess the performance of the model. The similarity in diagnostic information between the original and the spatially enhanced leads are evaluated using various diagnostic measures. Repeatability and diagnosability are performed to quantify the applicability of the model. A comparison of the proposed model is performed with existing models that transform a subset of standard twelve-lead ECG into the standard twelve-lead ECG. From the analysis of the results, it is evident that the proposed model preserves diagnostic information better compared to other models. Copyright © 2017 Elsevier Ltd. All rights reserved.

  12. Low Apgar score, neonatal encephalopathy and epidural analgesia during labour: a Swedish registry-based study.

    Science.gov (United States)

    Törnell, S; Ekéus, C; Hultin, M; Håkansson, S; Thunberg, J; Högberg, U

    2015-04-01

    Maternal intrapartum fever (MF) is associated with neonatal sequelae, and women in labour who receive epidural analgesia (EA) are more likely to develop hyperthermia. The aims of this study were to investigate if EA and/or a diagnosis of MF were associated to adverse neonatal outcomes at a population level. Population-based register study with data from the Swedish Birth Register and the Swedish National Patient Register, including all nulliparae (n=294,329) with singleton pregnancies who gave birth at term in Sweden 1999-2008. Neonatal outcomes analysed were Apgar score (AS)neonatal encephalopathy (e.g. convulsions or neonatal cerebral ischaemia). Multivariate logistic regression was used to calculate adjusted odds ratios (AOR) with 95% confidence intervals (CI). EA was used in 44% of the deliveries. Low AS or encephalopathy was found in 1.26% and 0.39% of the children in the EA group compared with 0.80% and 0.29% in the control group. In multivariate analysis, EA was associated with increased risk with low AS, AOR 1.27 (95% CI 1.16-1.39), but not with diagnosis of encephalopathy, 1.11 (0.96-1.29). A diagnosis of MF was associated with increased risk for both low AS, 2.27 (1.71-3.02), and of neonatal encephalopathy, 1.97 (1.19-3.26). Diagnosis of MF was associated with low AS and neonatal encephalopathy, whereas EA was only associated with low AS and not with neonatal encephalopathy. The found associations might be a result of confounding by indication, which is difficult to assess in a registry-based population study. © 2015 The Acta Anaesthesiologica Scandinavica Foundation. Published by John Wiley & Sons Ltd.

  13. Comparison of intensive care outcome prediction models based on admission scores with those based on 24-hour data.

    Science.gov (United States)

    Duke, G J; Piercy, M; DiGiantomasso, D; Green, J V

    2008-11-01

    We compared the performance of six outcome prediction models--three based on 24-hour data and three based on admission-only data--in a metropolitan university-affiliated teaching hospital with a 10-bed intensive care unit. The Acute Physiology and Chronic Health Evaluation models, version II (APACHE II) and version III-J, and the Simplified Acute Physiology Score version II (SAPS II) are based on 24-hour data and were compared with the Mortality Prediction Model version II and the SAPS version III using international and Australian coefficients (SAPS IIIA). Data were collected prospectively according to the standard methodologies for each model. Calibration and discrimination for each model were assessed by the standardised mortality ratio, area under the receiver operating characteristic plot and Hosmer-Lemeshow contingency tables and chi-squared statistics (C10 and H10). Predetermined criteria were area under the receiver operating characteristic plot > 0.8, standardised mortality ratio 95% confidence interval includes 1.0, and C10 and H10 P values >0.05. Between October 1, 2005 and December 31, 2007, 1843 consecutive admissions were screened and after the standard exclusions, 1741 were included in the analysis. The SAPS II and SAPS IIIA models fulfilled and the APACHE II model failed all criteria. The other models satisfied the discrimination criterion but significantly over-predicted mortality risk and require recalibration. Outcome prediction models based on admission-only data compared favourably to those based on 24-hour data.

  14. A configuration space of homologous proteins conserving mutual information and allowing a phylogeny inference based on pair-wise Z-score probabilities

    Directory of Open Access Journals (Sweden)

    Maréchal Eric

    2005-03-01

    Full Text Available Abstract Background Popular methods to reconstruct molecular phylogenies are based on multiple sequence alignments, in which addition or removal of data may change the resulting tree topology. We have sought a representation of homologous proteins that would conserve the information of pair-wise sequence alignments, respect probabilistic properties of Z-scores (Monte Carlo methods applied to pair-wise comparisons and be the basis for a novel method of consistent and stable phylogenetic reconstruction. Results We have built up a spatial representation of protein sequences using concepts from particle physics (configuration space and respecting a frame of constraints deduced from pair-wise alignment score properties in information theory. The obtained configuration space of homologous proteins (CSHP allows the representation of real and shuffled sequences, and thereupon an expression of the TULIP theorem for Z-score probabilities. Based on the CSHP, we propose a phylogeny reconstruction using Z-scores. Deduced trees, called TULIP trees, are consistent with multiple-alignment based trees. Furthermore, the TULIP tree reconstruction method provides a solution for some previously reported incongruent results, such as the apicomplexan enolase phylogeny. Conclusion The CSHP is a unified model that conserves mutual information between proteins in the way physical models conserve energy. Applications include the reconstruction of evolutionary consistent and robust trees, the topology of which is based on a spatial representation that is not reordered after addition or removal of sequences. The CSHP and its assigned phylogenetic topology, provide a powerful and easily updated representation for massive pair-wise genome comparisons based on Z-score computations.

  15. Hospital Value-Based Purchasing (HVBP) – Pneumonia Scores

    Data.gov (United States)

    U.S. Department of Health & Human Services — A list of hospitals participating in the Hospital VBP Program and their performance rates and scores for the Clinical Process of Care Pneumonia measures.

  16. Prediction of 18-month survival in patients with primary myelodysplastic syndrome. A regression model and scoring system based on the combination of chromosome findings and the Bournemouth score.

    Science.gov (United States)

    Parlier, V; van Melle, G; Beris, P; Schmidt, P M; Tobler, A; Haller, E; Bellomo, M J

    1995-06-01

    The predictive potential of six selected factors was assessed in 72 patients with primary myelodysplastic syndrome using univariate and multivariate logistic regression analysis of survival at 18 months. Factors were age (above median of 69 years), dysplastic features in the three myeloid bone marrow cell lineages, presence of chromosome defects, all metaphases abnormal, double or complex chromosome defects (C23), and a Bournemouth score of 2, 3, or 4 (B234). In the multivariate approach, B234 and C23 proved to be significantly associated with a reduction in the survival probability. The similarity of the regression coefficients associated with these two factors means that they have about the same weight. Consequently, the model was simplified by counting the number of factors (0, 1, or 2) present in each patient, thus generating a scoring system called the Lausanne-Bournemouth score (LB score). The LB score combines the well-recognized and easy-to-use Bournemouth score (B score) with the chromosome defect complexity, C23 constituting an additional indicator of patient outcome. The predicted risk of death within 18 months calculated from the model is as follows: 7.1% (confidence interval: 1.7-24.8) for patients with an LB score of 0, 60.1% (44.7-73.8) for an LB score of 1, and 96.8% (84.5-99.4) for an LB score of 2. The scoring system presented here has several interesting features. The LB score may improve the predictive value of the B score, as it is able to recognize two prognostic groups in the intermediate risk category of patients with B scores of 2 or 3. It has also the ability to identify two distinct prognostic subclasses among RAEB and possibly CMML patients. In addition to its above-described usefulness in the prognostic evaluation, the LB score may bring new insights into the understanding of evolution patterns in MDS. We used the combination of the B score and chromosome complexity to define four classes which may be considered four possible states of

  17. A STUDY ON RANKING METHOD IN RETRIEVING WEB PAGES BASED ON CONTENT AND LINK ANALYSIS: COMBINATION OF FOURIER DOMAIN SCORING AND PAGERANK SCORING

    Directory of Open Access Journals (Sweden)

    Diana Purwitasari

    2008-01-01

    Full Text Available Ranking module is an important component of search process which sorts through relevant pages. Since collection of Web pages has additional information inherent in the hyperlink structure of the Web, it can be represented as link score and then combined with the usual information retrieval techniques of content score. In this paper we report our studies about ranking score of Web pages combined from link analysis, PageRank Scoring, and content analysis, Fourier Domain Scoring. Our experiments use collection of Web pages relate to Statistic subject from Wikipedia with objectives to check correctness and performance evaluation of combination ranking method. Evaluation of PageRank Scoring show that the highest score does not always relate to Statistic. Since the links within Wikipedia articles exists so that users are always one click away from more information on any point that has a link attached, it it possible that unrelated topics to Statistic are most likely frequently mentioned in the collection. While the combination method show link score which is given proportional weight to content score of Web pages does effect the retrieval results.

  18. Sustainable Urban Regeneration Based on Energy Balance

    Directory of Open Access Journals (Sweden)

    Sacha Silvester

    2012-07-01

    Full Text Available In this paper, results are reported of a technology assessment of the use and integration of decentralized energy systems and storage devices in an urban renewal area. First the general context of a different approach based on 'rethinking' and the incorporation of ongoing integration of coming economical and environmental interests on infrastructure, in relation to the sustainable urban development and regeneration from the perspective of the tripod people, technology and design is elaborated. However, this is at different scales, starting mainly from the perspective of the urban dynamics. This approach includes a renewed look at the ‘urban metabolism’ and the role of environmental technology, urban ecology and environment behavior focus. Second, the potential benefits of strategic and balanced introduction and use of decentralized devices and electric vehicles (EVs, and attached generation based on renewables are investigated in more detail in the case study of the ‘Merwe-Vierhaven’ area (MW4 in the Rotterdam city port in the Netherlands. In order to optimize the energy balance of this urban renewal area, it is found to be impossible to do this by tuning the energy consumption. It is more effective to change the energy mix and related infrastructures. However, the problem in existing urban areas is that often these areas are restricted to a few energy sources due to lack of available space for integration. Besides this, energy consumption in most cases is relatively concentrated in (existing urban areas. This limits the potential of sustainable urban regeneration based on decentralized systems, because there is no balanced choice regarding the energy mix based on renewables and system optimization. Possible solutions to obtain a balanced energy profile can come from either the choice to not provide all energy locally, or by adding different types of storage devices to the systems. The use of energy balance based on renewables as a

  19. Sustainable urban regeneration based on energy balance

    NARCIS (Netherlands)

    Van Timmeren, A.; Zwetsloot, J.; Brezet, H.; Silvester, S.

    2012-01-01

    In this paper, results are reported of a technology assessment of the use and integration of decentralized energy systems and storage devices in an urban renewal area. First the general context of a different approach based on 'rethinking' and the incorporation of ongoing integration of coming

  20. Reproducibility of trabecular bone score with different scan modes using dual-energy X-ray absorptiometry: a phantom study

    Energy Technology Data Exchange (ETDEWEB)

    Bandirali, Michele; Messina, Carmelo [Universita degli Studi di Milano, Scuola di Specializzazione in Radiodiagnostica, Milano (Italy); Di Leo, Giovanni [Unita di Radiologia, IRCCS Policlinico San Donato, San Donato Milanese (Italy); Pastor Lopez, Maria Juana; Ulivieri, Fabio M. [Servizio di Medicina Nucleare, Ospedale Maggiore, Mineralometria Ossea Computerizzata e Ambulatorio Malattie Metabolismo Minerale e Osseo, Milano (Italy); Mai, Alessandro [Universita degli Studi di Milano, Tecniche di Radiologia Medica, per Immagini e Radioterapia, Milano (Italy); Sardanelli, Francesco [Unita di Radiologia, IRCCS Policlinico San Donato, San Donato Milanese (Italy); Universita degli Studi di Milano, Dipartimento di Scienze Biomediche per la Salute, San Donato Milanese (Italy)

    2014-08-12

    The trabecular bone score (TBS) accounts for the bone microarchitecture and is calculated on dual-energy X-ray absorptiometry (DXA). We estimated the reproducibility of the TBS using different scan modes compared to the reproducibility bone mineral density (BMD). A spine phantom was used with a Hologic QDR-Discovery A densitometer. For each scan mode [fast array, array, high definition (HD)], 25 scans were automatically performed without phantom repositioning; a further 25 scans were performed with phantom repositioning. For each scan, the TBS was obtained. The coefficient of variation (CoV) was calculated as the ratio between standard deviation and mean; percent least significant change (LSC%) as 2.8 x CoV; reproducibility as the complement to 100 % of LSC%. Differences among scan modes were assessed using ANOVA. Without phantom repositioning, the mean TBS (mm{sup -1}) was: 1.352 (fast array), 1.321 (array), and 1.360 (HD); with phantom repositioning, it was 1.345, 1.332, and 1.362, respectively. Reproducibility of the TBS without phantom repositioning was 97.7 % (fast array), 98.3 % (array), and 98.2 % (HD); with phantom repositioning, it was 97.9 %, 98.7 %, and 98.4 %, respectively. LSC% was ≤2.26 %. Differences among scan modes were all statistically significant (p ≤ 0.019). Reproducibility of BMD was 99.1 % with all scan modes, while LSC% was from 0.86 % to 0.91 %. Reproducibility error of the TBS was 2-3-fold higher than that of BMD. Although statistically significant, differences in TBS among scan modes were within the highest LSC%. Thus, the three scan modes can be considered interchangeable. (orig.)

  1. MEASUREMENT OF THE STUDENTS’ ATTITUDE TOWARD A WHOLE-LANGUAGEAPPROACH-BASED LECTURE USING SCORE QUESTIONNAIRES

    Directory of Open Access Journals (Sweden)

    Nizamuddin Sadiq

    2015-06-01

    Full Text Available Abstract: The objective was to investigate students’ attitude toward the implementation of a whole language approach on Reading and Writing for Occupational Purposes Course in the academic year of 2013/2014. The approaches employed were phonological and phoneme awareness, phonic and word study, fluency, vocabulary, comprehension skills and strategies, and writing. The participants were 15 students of the English Language Education Department, Universitas Islam Indonesia. SCORE questionnaire using the Likert’s scale was the instrument. Calculation was to find out score index and categorization by following Riduwan’s (2007 score interpretation criteria. The findings showed that in the simple category, two of ten questions were agreed absolutely (100%, in the clear category, all questions were agreed for 80 %, in the original category, five of thirteen questions reached majority of agreement (100%, in the relevant category, one of five questions was agreed absolutely (100%, and in the enjoyable category, all questions were agreed by 93%. Keywords: a whole language approach, SCORE, score interpretation criteria PENGUKURAN SIKAP MAHASISWA TENTANG PERKULIAHAN BERBASIS A WHOLE LANGUAGE APPROACH DENGAN KUESIONER SCORE Abstrak: Tujuan penelitian ini adalah mengukur sikap mahasiswa terhadap pelaksanaan a whole language approach dalam perkuliahan Reading and Writing for Occupational Purposes Course tahun akademik 2013/2014. Pendekatan yang diterapkan adalah kesadaran fonetik dan fonemik, pelafalan dan kata, kelancaran, kosakata, keterampilan dan strategi membaca komprehensif, dan menulis. Responden penelitian ini adalah 15 maahsiswa Pendidikan Bahasa Inggris Universitas Islam Indonesia. Kuesioner SCOREs dengan skala Likert sebagai instrumen. Penghitungan ditujukan kepada skor indeks dan kategorisasi mengikuti criteria interpretasi skor Riduwan (2007. Hasilnya menunjukkan bahwa pada kategori simple, dua pertanyaan disetujui mutlak (100%, pada kategori

  2. Reliability of a consensus-based ultrasound score for tenosynovitis in rheumatoid arthritis

    DEFF Research Database (Denmark)

    Naredo, Esperanza; D'Agostino, Maria Antonietta; Wakefield, Richard J

    2013-01-01

    recruited. Ten rheumatologists expert in MSUS blindly, independently and consecutively scored for tenosynovitis in B-mode and PD mode three wrist extensor compartments, two finger flexor tendons and two ankle tendons of each patient in two rounds in a blinded fashion. Intraobserver reliability was assessed.......65) and moderate κ values for B-mode tenosynovitis scoring (first round, 0.47; second round, 0.45). CONCLUSIONS: US appears to be a reproducible tool for evaluating and monitoring tenosynovitis in RA....

  3. Montreal Cognitive Assessment (MoCA)-Italian version: regression based norms and equivalent scores.

    Science.gov (United States)

    Conti, Silvia; Bonazzi, Stefano; Laiacona, Marcella; Masina, Marco; Coralli, Mirco Vanelli

    2015-02-01

    The Montreal Cognitive Assessment (MoCA) is a brief cognitive screening instrument developed by Nasreddine et al. to detect mild cognitive impairment, a high-risk condition for Alzheimer's disease and other forms of dementia. In this study we report normative data on the MoCA-Italian version, collected on a sample of 225 Italian healthy subjects ranged in age between 60 and 80 years, and in formal education from 5 to 23 years. The global normal cognition was established in accordance with the Mini-Mental State Examination score and with the Prose Memory Test score (Spinnler and Tognoni, Ital J Neurol Sci 6:25-27, 1987). None of the participants had a history of psychiatric, neurological, cerebrovascular disorders or brain injury or took drugs affecting cognition. Linear regression analysis was performed to evaluate the potential effect of age, education and sex on the MoCA total performance score. We provide correction grids to adjust raw scores and equivalent scores with cut-off value to allow comparison between MoCA performance and others neuropsychological test scores that can be administered on the same subject.

  4. Measurement Properties of the Smartphone-Based B-B Score in Current Shoulder Pathologies

    Directory of Open Access Journals (Sweden)

    Claude Pichonnaz

    2015-10-01

    Full Text Available This study is aimed at the determination of the measurement properties of the shoulder function B-B Score measured with a smartphone. This score measures the symmetry between sides of a power-related metric for two selected movements, with 100% representing perfect symmetry. Twenty healthy participants, 20 patients with rotator cuff conditions, 23 with fractures, 22 with capsulitis, and 23 with shoulder instabilities were measured twice across a six-month interval using the B-B Score and shoulder function questionnaires. The discriminative power, responsiveness, diagnostic power, concurrent validity, minimal detectable change (MDC, minimal clinically important improvement (MCII, and patient acceptable symptom state (PASS were evaluated. Significant differences with the control group and significant baseline—six-month differences were found for the rotator cuff condition, fracture, and capsulitis patient groups. The B-B Score was responsive and demonstrated excellent diagnostic power, except for shoulder instability. The correlations with clinical scores were generally moderate to high, but lower for instability. The MDC was 18.1%, the MCII was 25.2%, and the PASS was 77.6. No floor effect was observed. The B-B Score demonstrated excellent measurement properties in populations with rotator cuff conditions, proximal humerus fractures, and capsulitis, and can thus be used as a routine test to evaluate those patients.

  5. Health utility scores in Alzheimer's disease: differences based on calculation with American and Canadian preference weights.

    Science.gov (United States)

    Oremus, Mark; Tarride, Jean-Eric; Clayton, Natasha; Raina, Parminder

    2014-01-01

    Health utility scores quantify health-related quality-of-life (HRQOL) in Alzheimer's disease (AD). These scores are calculated by using preference weights derived from general population samples. We recruited persons with AD and their primary informal caregivers and examined differences in health utility scores calculated by using two sets of published preference weights. We recruited participants from nine clinics across Canada and administered the EuroQol five-dimensional (EQ-5D) questionnaire HRQOL instrument. We converted participants' EQ-5D questionnaire responses into two sets of health utility scores by using US and Canadian preference weights. We assessed agreement between sets by using the intraclass correlation coefficient. Bland-Altman plots depicted individual-level differences between sets. For 216 persons with AD and their caregivers, mean health utility scores were higher when calculated with US instead of Canadian preference weights (P caregiver group. Ninety-five percent of the individual differences in utility score fell between -0.16 and 0.03 for persons with AD and -0.15 and 0.05 for caregivers. Forty-three percent of these differences exceeded a minimum clinically important threshold of 0.074. In AD studies, researchers should calculate health utility scores by using preference weights obtained in the general population of their country of interest. Using weights from other countries' populations could bias the utilities and adversely affect the results of economic evaluations of AD treatments. © 2013 International Society for Pharmacoeconomics and Outcomes Research (ISPOR) Published by International Society for Pharmacoeconomics and Outcomes Research (ISPOR) All rights reserved.

  6. Energy Information Data Base: corporate author entries

    International Nuclear Information System (INIS)

    1980-06-01

    One of the controls for information entered into the data bases created and maintained by the DOE Technical Information Center is the standardized name for the corporate entity or the corporate author. The purpose of Energy Information Data Base: Corporate Author Entries is to provide a means for the consistent citing of the names of organizations in bibliographic records. These entries serve as guides for users of the DOE/RECON computerized data bases who want to locate information originating in particular organizations. The entries in this revision include the corporate entries used in report bibliographic citations since 1973 and list approximately 28,000 corporate sources

  7. Scores of a web-based version of the seasonal pattern assessment questionnaire in Brazil

    Directory of Open Access Journals (Sweden)

    Denis Martinez

    2015-12-01

    Full Text Available Introduction: Seasonal affective disorder (SAD is a proposed mental disorder still controversial. This condition is prevalent in northern latitudes, but few studies have been conducted at locations in the southern hemisphere. It is usually assessed by the Seasonal Pattern Assessment Questionnaire (SPAQ. This study aimed to evaluate, through on-line questionnaire, the hypothesis that, in the Brazilian population, latitude and longitude influence SPAQ scores. Methods: An advertisement was posted on a sleep medicine website inviting visitors to investigate seasonal patterns of behavior and mood, using a Brazilian Portuguese version of the SPAQ. The geographic coordinates of the place of residence of each respondent were analyzed as a continuous variable or distributed in quartiles of latitude and longitude. The psychometric properties of the SPAQ were assessed by reliability and factor analyses. Results: Answers from 1001 respondents out of 1045 were considered eligible. High SPAQ scores were observed in 287 respondents, equally distributed among all latitude and longitude quartiles. Data collected in different seasons and during daylight saving time did not differ significantly in any of the scores for SPAQ dimensions. No correlations between SPAQ scores and latitude or longitude were observed. Psychometric properties of the SPAQ were preserved in all geographic locations. Conclusion: The finding of similar SPAQ scores at a wide latitude range defies the concept of SAD symptoms as latitude or longitude-dependent phenomena.

  8. Web-Based Education Prior to Outpatient Orthopaedic Surgery Enhances Early Patient Satisfaction Scores: A Prospective Randomized Controlled Study.

    Science.gov (United States)

    van Eck, Carola F; Toor, Aneet; Banffy, Michael B; Gambardella, Ralph A

    2018-01-01

    A good patient-surgeon relationship relies on adequate preoperative education and counseling. Several multimedia resources, such as web-based education tools, have become available to enhance aspects of perioperative care. The purpose of this study was to evaluate the effect of an interactive web-based education tool on perioperative patient satisfaction scores after outpatient orthopaedic surgery. It was hypothesized that web-based education prior to outpatient orthopaedic surgery enhances patient satisfaction scores. Randomized controlled trial; Level of evidence, 1. All patients undergoing knee arthroscopy with meniscectomy, chondroplasty, or anterior cruciate ligament reconstruction or shoulder arthroscopy with rotator cuff repair were eligible for inclusion and were randomized to the study or control group. The control group received routine education by the surgeon, whereas the study group received additional web-based education. At the first postoperative visit, all patients completed the OAS CAHPS (Outpatient and Ambulatory Surgery Consumer Assessment of Healthcare Providers and Systems) survey. Differences in patient satisfaction scores between the study and control groups were determined with an independent t test. A total of 177 patients were included (104 [59%] males; mean age, 42 ± 14 years); 87 (49%) patients were randomized to receive additional web-based education. Total patient satisfaction score was significantly higher in the study group (97 ± 5) as compared with the control group (94 ± 8; P = .019), specifically for the OAS CAHPS core measure "recovery" (92 ± 13 vs 82 ± 23; P = .001). Age, sex, race, workers' compensation status, education level, overall health, emotional health, procedure type and complexity, and addition of a video did not influence patient satisfaction scores. Supplemental web-based patient education prior to outpatient orthopaedic surgery enhances patient satisfaction scores.

  9. Fast index based algorithms and software for matching position specific scoring matrices

    Directory of Open Access Journals (Sweden)

    Homann Robert

    2006-08-01

    Full Text Available Abstract Background In biological sequence analysis, position specific scoring matrices (PSSMs are widely used to represent sequence motifs in nucleotide as well as amino acid sequences. Searching with PSSMs in complete genomes or large sequence databases is a common, but computationally expensive task. Results We present a new non-heuristic algorithm, called ESAsearch, to efficiently find matches of PSSMs in large databases. Our approach preprocesses the search space, e.g., a complete genome or a set of protein sequences, and builds an enhanced suffix array that is stored on file. This allows the searching of a database with a PSSM in sublinear expected time. Since ESAsearch benefits from small alphabets, we present a variant operating on sequences recoded according to a reduced alphabet. We also address the problem of non-comparable PSSM-scores by developing a method which allows the efficient computation of a matrix similarity threshold for a PSSM, given an E-value or a p-value. Our method is based on dynamic programming and, in contrast to other methods, it employs lazy evaluation of the dynamic programming matrix. We evaluated algorithm ESAsearch with nucleotide PSSMs and with amino acid PSSMs. Compared to the best previous methods, ESAsearch shows speedups of a factor between 17 and 275 for nucleotide PSSMs, and speedups up to factor 1.8 for amino acid PSSMs. Comparisons with the most widely used programs even show speedups by a factor of at least 3.8. Alphabet reduction yields an additional speedup factor of 2 on amino acid sequences compared to results achieved with the 20 symbol standard alphabet. The lazy evaluation method is also much faster than previous methods, with speedups of a factor between 3 and 330. Conclusion Our analysis of ESAsearch reveals sublinear runtime in the expected case, and linear runtime in the worst case for sequences not shorter than |A MathType@MTEF@5@5@+=feaafiart1ev1aaatCvAUfKttLearuWrP9MDH5MBPbIqV92Aae

  10. Fiber intake, not dietary energy density, is associated with subsequent change in BMI z-score among sub-groups of children

    DEFF Research Database (Denmark)

    Kring, Sofia I Iqbal; Heitmann, Berit L

    2008-01-01

    to collect dietary energy intake. Overweight was defined as 1.05 SD, equivalent to the 85th percentile, of age- and sex-specific BMI z-score reference values. RESULTS: An inverse association between fiber intake and subsequent excess weight gain was observed among the normal weight boys. In overweight boys...

  11. Comparison of Duke ergo-metric score and of the classification based on scintigraphic data in the stratification of coronaries; Comparaison du score ergometrique de Duke et du classement base sur les donnees scintigraphiques dans la stratification des coronariens

    Energy Technology Data Exchange (ETDEWEB)

    Ouhayoun, E.; Coca, F.J.; Payoux, P.; Tafani, J.A.M.; Esquerre, J.P. [Medecine Nucleaire - Hopital Purpan, 31059 Toulouse (France)

    1997-12-31

    Stratification of risk (sudden death and infarction) remains a major problem of the way the coronaries are cared. Since 1987, a score based on the test-to-effort data was proposed by Mark and coll. of `Duke University` team. They tried to demonstrate that this score provides a reliable classification of patients. We have compared the results obtained by using this score with those issued from the simultaneous analysis of the left ventricle (LV) function and LV perfusion. A hundred patients afflicted with coronaries (stenoses > 50%) benefited by a coupled study of the LV function and perfusion at rest and under effort made by means of MIBI scintigraphy. The effort test allowed calculating the `Duke` score by means of a formula in terms of the angor index defined as follows: 0 for absence, 1 for angor and 2 for angor motivating cessation. According to Duke score three classes can be defined: patients of low risk, score {>=} 5; patients of intermediate risk, score in between 5 and -10; patients of high risk, score {<=} -10. Ejection fraction at effort acme was measured in every patient as well as the extension of perfusion defect, evaluated semi-quantitatively at effort and rest on the basis of bull`s eye. Three groups of patients were created according to the results of perfusion+function couple: (A)- normal perfusion and function, the case of good prognostication; (B)- patients slightly afflicted (FEV{sub effort} > 50% and in-effort defect extension < 20%) and (C)- patients severely afflicted (FEV{sub effort} <30% or extension >50%). The last criteria were proved by several studies as bad prognostication. A table presents the risks according the Duke score for the three classes. One can observe that one third of the patients severely afflicted by confirmed ischemia are classified in the low-risk class. Besides, the majority of patients are ranked with intermediary risk, independently of scintigraphic results. In conclusion, these results concerning the

  12. Turning Music Catalogues into Archives of Musical Scores – or Vice Versa: Music Archives and Catalogues Based on MEI XML

    DEFF Research Database (Denmark)

    Geertinger, Axel Teich

    2014-01-01

    work in some presentation format (primarily PDF). Both types of collections are technically easy to build, but they have a number of limitations in terms of long-term preservation, data exchange and data re-use, and flexibility. A text-based data structure sophisticated enough to contain both detailed...... metadata and fully-featured scores may be a way of overcoming some of these limitations and at the same time include catalogue data in the score and vice versa. The Music Encoding Initiative (MEI) offers a framework for such an approach based on XML files. The article discusses pros and cons...

  13. Investigating the importance of Delaunay-based definition of atomic interactions in scoring of protein-protein docking results.

    Science.gov (United States)

    Jafari, Rahim; Sadeghi, Mehdi; Mirzaie, Mehdi

    2016-05-01

    The approaches taken to represent and describe structural features of the macromolecules are of major importance when developing computational methods for studying and predicting their structures and interactions. This study attempts to explore the significance of Delaunay tessellation for the definition of atomic interactions by evaluating its impact on the performance of scoring protein-protein docking prediction. Two sets of knowledge-based scoring potentials are extracted from a training dataset of native protein-protein complexes. The potential of the first set is derived using atomic interactions extracted from Delaunay tessellated structures. The potential of the second set is calculated conventionally, that is, using atom pairs whose interactions were determined by their separation distances. The scoring potentials were tested against two different docking decoy sets and their performances were compared. The results show that, if properly optimized, the Delaunay-based scoring potentials can achieve higher success rate than the usual scoring potentials. These results and the results of a previous study on the use of Delaunay-based potentials in protein fold recognition, all point to the fact that Delaunay tessellation of protein structure can provide a more realistic definition of atomic interaction, and therefore, if appropriately utilized, may be able to improve the accuracy of pair potentials. Copyright © 2016 Elsevier Inc. All rights reserved.

  14. HMX based enhanced energy LOVA gun propellant.

    Science.gov (United States)

    Sanghavi, R R; Kamale, P J; Shaikh, M A R; Shelar, S D; Kumar, K Sunil; Singh, Amarjit

    2007-05-08

    Efforts to develop gun propellants with low vulnerability have recently been focused on enhancing the energy with a further improvement in its sensitivity characteristics. These propellants not only prevent catastrophic disasters due to unplanned initiation of currently used gun propellants (based on nitrate esters) but also realize enhanced energy levels to increase the muzzle velocity of the projectiles. Now, in order to replace nitroglycerine, which is highly sensitive to friction and impact, nitramines meet the requirements as they offer superior energy due to positive heat of formation, typical stoichiometry with higher decomposition temperatures and also owing to negative oxygen balance are less sensitive than stoichiometrically balanced NG. RDX has been widely reported for use in LOVA propellant. In this paper we have made an effort to present the work on scantily reported nitramine HMX based LOVA gun propellant while incorporating energetic plasticizer glycidyl azide polymer to enhance the energy level. HMX is known to be thermally stable at higher temperature than RDX and also proved to be less vulnerable to small scale shaped charge jet attack as its decomposition temperature is 270 degrees C. HMX also offers improved impulse due to its superior heat of formation (+17 kcal/mol) as compared to RDX (+14 kcal/mol). It has also been reported that a break point will not appear until 35,000 psi for propellant comprising of 5 microm HMX. Since no work has been reported in open literature regarding replacement of RDX by HMX, the present studies were carried out.

  15. Chair-based fidgeting and energy expenditure.

    Science.gov (United States)

    Koepp, Gabriel A; Moore, Graham K; Levine, James A

    2016-01-01

    Sedentariness is associated with chronic health conditions, impaired cognitive function and obesity. Work contributes significantly to sedentariness because many work tasks necessitate sitting. Few sustained solutions exist to reverse workplace sedentariness. Here, we evaluated a chair and an under-table device that were designed to promote fidgeting while seated. Our hypothesis was that an under-table leg-fidget bar and/or a fidget-promoting chair significantly increased energy expenditure. We compared these devices with chair-based exercise and walking. We measured energy expenditure and heart rate in 16 people while they sat and worked using a standard chair, an under-desk device that encourages leg fidgeting and a fidget-promoting chair. We compared outcomes with chair-based exercise and walking. Energy expenditure increased significantly while using either an under-table leg-fidget bar or a fidget-promoting chair, when compared to the standard office chair (standard chair, 76±31 kcal/hour; leg-fidget bar, 98±42 kcal/hour (pchair, 89±40 kcal/hour (p=0.03)). However, heart rate did not increase significantly in either case. Bouts of exercise performed while seated provided energetic and heart rate equivalency to walking at 2 mph. Chairs and devices that promote fidgeting can increase energy expenditure by ∼20-30% but not increase heart rate. Dynamic sitting may be among a lexicon of options to help people move more while at work.

  16. Virus-based piezoelectric energy generation

    Science.gov (United States)

    Lee, Byung Yang; Zhang, Jinxing; Zueger, Chris; Chung, Woo-Jae; Yoo, So Young; Wang, Eddie; Meyer, Joel; Ramesh, Ramamoorthy; Lee, Seung-Wuk

    2012-06-01

    Piezoelectric materials can convert mechanical energy into electrical energy, and piezoelectric devices made of a variety of inorganic materials and organic polymers have been demonstrated. However, synthesizing such materials often requires toxic starting compounds, harsh conditions and/or complex procedures. Previously, it was shown that hierarchically organized natural materials such as bones, collagen fibrils and peptide nanotubes can display piezoelectric properties. Here, we demonstrate that the piezoelectric and liquid-crystalline properties of M13 bacteriophage (phage) can be used to generate electrical energy. Using piezoresponse force microscopy, we characterize the structure-dependent piezoelectric properties of the phage at the molecular level. We then show that self-assembled thin films of phage can exhibit piezoelectric strengths of up to 7.8 pm V-1. We also demonstrate that it is possible to modulate the dipole strength of the phage, hence tuning the piezoelectric response, by genetically engineering the major coat proteins of the phage. Finally, we develop a phage-based piezoelectric generator that produces up to 6 nA of current and 400 mV of potential and use it to operate a liquid-crystal display. Because biotechnology techniques enable large-scale production of genetically modified phages, phage-based piezoelectric materials potentially offer a simple and environmentally friendly approach to piezoelectric energy generation.

  17. An entropy-based improved k-top scoring pairs (TSP) method for ...

    African Journals Online (AJOL)

    DR. NJ TONUKARI

    2012-06-05

    Jun 5, 2012 ... 1College of Computer Science and Technology, Jilin University, Key Laboratory of Symbol Computation and Knowledge ... 3Department of Information Engineering and Computer Science, University of Trento, Via Sommarive 14, 38050 – Povo ... disjoint top scoring pairs of genes as decision rules rather.

  18. Effect of two yoga-based relaxation techniques on memory scores and state anxiety

    Science.gov (United States)

    Subramanya, Pailoor; Telles, Shirley

    2009-01-01

    Background A yoga practice involving cycles of yoga postures and supine rest (called cyclic meditation) was previously shown to improve performance in attention tasks more than relaxation in the corpse posture (shavasana). This was ascribed to reduced anxiety, though this was not assessed. Methods In fifty-seven male volunteers (group average age ± S.D., 26.6 ± 4.5 years) the immediate effect of two yoga relaxation techniques was studied on memory and state anxiety. All participants were assessed before and after (i) Cyclic meditation (CM) practiced for 22:30 minutes on one day and (ii) an equal duration of Supine rest (SR) or the corpse posture (shavasana), on another day. Sections of the Wechsler memory scale (WMS) were used to assess; (i) attention and concentration (digit span forward and backward), and (ii) associate learning. State anxiety was assessed using Spielberger's State-Trait Anxiety Inventory (STAI). Results There was a significant improvement in the scores of all sections of the WMS studied after both CM and SR, but, the magnitude of change was more after CM compared to after SR. The state anxiety scores decreased after both CM and SR, with a greater magnitude of decrease after CM. There was no correlation between percentage change in memory scores and state anxiety for either session. Conclusion A cyclical combination of yoga postures and supine rest in CM improved memory scores immediately after the practice and decreased state anxiety more than rest in a classical yoga relaxation posture (shavasana). PMID:19674483

  19. An Inmate Classification System Based on PCL: SV Factor Scores in a Sample of Prison Inmates

    Science.gov (United States)

    Wogan, Michael; Mackenzie, Marci

    2007-01-01

    Psychopaths represent a significant management challenge in a prison population. A sample of ninety-five male inmates from three medium security prisons was tested using the Hare Psychopathy Checklist: Screening Version (PCL:SV). Using traditional criteria, 22% of the inmates were classified as psychopaths. Scores on the two factor dimensions of…

  20. Reliable change indices and standardized regression-based change score norms for evaluating neuropsychological change in children with epilepsy.

    Science.gov (United States)

    Busch, Robyn M; Lineweaver, Tara T; Ferguson, Lisa; Haut, Jennifer S

    2015-06-01

    Reliable change indices (RCIs) and standardized regression-based (SRB) change score norms permit evaluation of meaningful changes in test scores following treatment interventions, like epilepsy surgery, while accounting for test-retest reliability, practice effects, score fluctuations due to error, and relevant clinical and demographic factors. Although these methods are frequently used to assess cognitive change after epilepsy surgery in adults, they have not been widely applied to examine cognitive change in children with epilepsy. The goal of the current study was to develop RCIs and SRB change score norms for use in children with epilepsy. Sixty-three children with epilepsy (age range: 6-16; M=10.19, SD=2.58) underwent comprehensive neuropsychological evaluations at two time points an average of 12 months apart. Practice effect-adjusted RCIs and SRB change score norms were calculated for all cognitive measures in the battery. Practice effects were quite variable across the neuropsychological measures, with the greatest differences observed among older children, particularly on the Children's Memory Scale and Wisconsin Card Sorting Test. There was also notable variability in test-retest reliabilities across measures in the battery, with coefficients ranging from 0.14 to 0.92. Reliable change indices and SRB change score norms for use in assessing meaningful cognitive change in children following epilepsy surgery are provided for measures with reliability coefficients above 0.50. This is the first study to provide RCIs and SRB change score norms for a comprehensive neuropsychological battery based on a large sample of children with epilepsy. Tables to aid in evaluating cognitive changes in children who have undergone epilepsy surgery are provided for clinical use. An Excel sheet to perform all relevant calculations is also available to interested clinicians or researchers. Copyright © 2015 Elsevier Inc. All rights reserved.

  1. Laboratory-based and office-based risk scores and charts to predict 10-year risk of cardiovascular disease in 182 countries

    DEFF Research Database (Denmark)

    Ueda, Peter; Woodward, Mark; Lu, Yuan

    2017-01-01

    BACKGROUND: Worldwide implementation of risk-based cardiovascular disease (CVD) prevention requires risk prediction tools that are contemporarily recalibrated for the target country and can be used where laboratory measurements are unavailable. We present two cardiovascular risk scores, with and ...

  2. An image based system to automatically and objectivelly score the degreeof redness and scaling in psoriasi lesions

    DEFF Research Database (Denmark)

    Gomez, David Delgado; Ersbøll, Bjarne Kjær; Carstensen, Jens Michael

    2004-01-01

    In this work, a combined statistical and image analysis method to automatically evaluate the severity of scaling in psoriasis lesions is proposed. The method separates the different regions of the disease in the image and scores the degree of scaling based on the properties of these areas. The pr...

  3. Effect of Clinically Discriminating, Evidence-Based Checklist Items on the Reliability of Scores from an Internal Medicine Residency OSCE

    Science.gov (United States)

    Daniels, Vijay J.; Bordage, Georges; Gierl, Mark J.; Yudkowsky, Rachel

    2014-01-01

    Objective structured clinical examinations (OSCEs) are used worldwide for summative examinations but often lack acceptable reliability. Research has shown that reliability of scores increases if OSCE checklists for medical students include only clinically relevant items. Also, checklists are often missing evidence-based items that high-achieving…

  4. Target Practice: Reader Response Theory and Teachers' Interpretations of Students' SAT 10 Scores in Data-Based Professional Development

    Science.gov (United States)

    Atkinson, Becky M.

    2012-01-01

    The study reported in this article examines how teachers read and respond to their students' Stanford Achievement Test 10 (SAT 10) scores with the goal of investigating the assumption that data-based teaching practice is more "objective" and less susceptible to divergent teacher interpretation. The study uses reader response theory to…

  5. Differences in physical-fitness test scores between actively and passively recruited older adults : Consequences for norm-based classification

    NARCIS (Netherlands)

    van Heuvelen, M.J.G.; Stevens, M.; Kempen, G.I.J.M.

    This study investigated differences in physical-fitness test scores between actively and passively recruited older adults and the consequences thereof for norm-based classification of individuals. Walking endurance, grip strength, hip flexibility, balance, manual dexterity, and reaction time were

  6. Evaluating score- and feature-based likelihood ratio models for multivariate continuous data: applied to forensic MDMA comparison

    NARCIS (Netherlands)

    Bolck, A.; Ni, H.; Lopatka, M.

    2015-01-01

    Likelihood ratio (LR) models are moving into the forefront of forensic evidence evaluation as these methods are adopted by a diverse range of application areas in forensic science. We examine the fundamentally different results that can be achieved when feature- and score-based methodologies are

  7. Increased correlation coefficient between the written test score and tutors’ performance test scores after training of tutors for assessment of medical students during problem-based learning course in Malaysia

    Directory of Open Access Journals (Sweden)

    Heethal Jaiprakash

    2016-03-01

    Full Text Available This paper is aimed at finding if there was a change of correlation between the written test score and tutors’ performance test scores in the assessment of medical students during a problem-based learning (PBL course in Malaysia. This is a cross-sectional observational study, conducted among 264 medical students in two groups from November 2010 to November 2012. The first group’s tutors did not receive tutor training; while the second group’s tutors were trained in the PBL process. Each group was divided into high, middle and low achievers based on their end-of-semester exam scores. PBL scores were taken which included written test scores and tutors’ performance test scores. Pearson correlation coefficient was calculated between the two kinds of scores in each group. The correlation coefficient between the written scores and tutors’ scores in group 1 was 0.099 (p<0.001 and for group 2 was 0.305 (p<0.001. The higher correlation coefficient in the group where tutors received the PBL training reinforces the importance of tutor training before their participation in the PBL course.

  8. Key performance indicators score (KPIs-score) based on clinical and laboratorial parameters can establish benchmarks for internal quality control in an ART program.

    Science.gov (United States)

    Franco, José G; Petersen, Claudia G; Mauri, Ana L; Vagnini, Laura D; Renzi, Adriana; Petersen, Bruna; Mattila, M C; Comar, Vanessa A; Ricci, Juliana; Dieamant, Felipe; Oliveira, João Batista A; Baruffi, Ricardo L R

    2017-06-01

    KPIs have been employed for internal quality control (IQC) in ART. However, clinical KPIs (C-KPIs) such as age, AMH and number of oocytes collected are never added to laboratory KPIs (L-KPIs), such as fertilization rate and morphological quality of the embryos for analysis, even though the final endpoint is the evaluation of clinical pregnancy rates. This paper analyzed if a KPIs-score strategy with clinical and laboratorial parameters could be used to establish benchmarks for IQC in ART cycles. In this prospective cohort study, 280 patients (36.4±4.3years) underwent ART. The total KPIs-score was obtained by the analysis of age, AMH (AMH Gen II ELISA/pre-mixing modified, Beckman Coulter Inc.), number of metaphase-II oocytes, fertilization rates and morphological quality of the embryonic lot. The total KPIs-score (C-KPIs+L-KPIs) was correlated with the presence or absence of clinical pregnancy. The relationship between the C-KPIs and L-KPIs scores was analyzed to establish quality standards, to increase the performance of clinical and laboratorial processes in ART. The logistic regression model (LRM), with respect to pregnancy and total KPIs-score (280 patients/102 clinical pregnancies), yielded an odds ratio of 1.24 (95%CI = 1.16-1.32). There was also a significant difference (pperformed to assess quality standards. This total KPIs-score could set up benchmarks for clinical pregnancy. Moreover, IQC can use C-KPIs and L-KPIs scores to detect problems in the clinical-laboratorial interface.

  9. The impact of a revised EQ-5D population scoring on preference-based utility scores in an inflammatory arthritis cohort.

    LENUS (Irish Health Repository)

    Adams, Roisin

    2012-02-01

    BACKGROUND AND OBJECTIVE: It is well established that there are problems with the EQ-5D. This is due to the original scoring methods used and how negative time trade-off (TTO) values were treated. A revised scoring method has been published. This article applies this to an inflammatory arthritis cohort. The objective is to examine the impact of a revised scoring system for the EQ-5D (UK) TTO on the utility estimates and in the case of rheumatoid arthritis, to explore the impact of using different utility metrics on the incremental cost-effectiveness ratio (ICER) results of an economic model. METHODS: A total of 504 patients with inflammatory arthritis were rescored using revised EQ-5D scoring, which uses an episodic random utility model to deal with negative TTO values. Differences in utility scores were compared and the new mapping coefficients were obtained. These were then used in an economic model to examine the impact on the ICER. RESULTS: In rheumatoid arthritis, the overall change is less for the revised EQ-5D scoring than with the original EQ-5D (TTO) but greater than the SF-6D: EQ-5D UK -0.22 (95% confidence interval [CI] -0.30 to -0.15), revised EQ-5D UK -0.16 (95% CI -0.21 to -0.10) and SF-6D -0.08 (95% CI -0.11 to -0.05). A similar trend is seen in the psoriatic arthritis group. The economic model produced different ICERs, when different utility measures were used; EQ-5D (TTO) euro42,402, SF-6D euro111,788, and revised EQ-5D (TTO) euro57,747. CONCLUSION: In the context of inflammatory arthritis, this article demonstrates that a revised scoring for EQ-5D may have a significant impact on utility estimates and on the output of the economic model.

  10. Using net energy output as the base to develop renewable energy

    International Nuclear Information System (INIS)

    Shaw Daigee; Hung Mingfeng; Lin Yihao

    2010-01-01

    In order to increase energy security, production of renewable energies has been highly promoted by governments around the world in recent years. The typical base of various policy instruments used for this purpose is gross energy output of renewable energy. However, we show that basing policy instruments on gross energy output will result in problems associated with energy waste, economic inefficiency, and negative environmental effects. We recommend using net energy output as the base to apply price or quantity measures because it is net energy output, not gross energy output, which contributes to energy security. The promotion of gross energy output does not guarantee a positive amount of net energy output. By basing policy instruments on net energy output, energy security can be enhanced and the above mentioned problems can be avoided.

  11. Z-score linear discriminant analysis for EEG based brain-computer interfaces.

    Directory of Open Access Journals (Sweden)

    Rui Zhang

    Full Text Available Linear discriminant analysis (LDA is one of the most popular classification algorithms for brain-computer interfaces (BCI. LDA assumes Gaussian distribution of the data, with equal covariance matrices for the concerned classes, however, the assumption is not usually held in actual BCI applications, where the heteroscedastic class distributions are usually observed. This paper proposes an enhanced version of LDA, namely z-score linear discriminant analysis (Z-LDA, which introduces a new decision boundary definition strategy to handle with the heteroscedastic class distributions. Z-LDA defines decision boundary through z-score utilizing both mean and standard deviation information of the projected data, which can adaptively adjust the decision boundary to fit for heteroscedastic distribution situation. Results derived from both simulation dataset and two actual BCI datasets consistently show that Z-LDA achieves significantly higher average classification accuracies than conventional LDA, indicating the superiority of the new proposed decision boundary definition strategy.

  12. Walk Score and Australian adults' home-based walking for transport.

    Science.gov (United States)

    Cole, Rachel; Dunn, Peter; Hunter, Ian; Owen, Neville; Sugiyama, Takemi

    2015-09-01

    The relationships of Walk Score, a publicly-accessible walkability assessment tool, with walking for transport to and from home were examined among a large representative sample of Australian adults aged 18-64 years (N=16,944). Residents in highly and somewhat walkable areas were twice and 1.4 times more likely to accumulate 30 min of walking per day compared to those in very car-dependent neighborhoods, respectively. Mean duration of walking was also longer for participants living in highly and somewhat walkable areas compared to those in very car-dependent areas. Walk Score has potential as a widely-applicable tool for identifying the walkability of local neighborhoods. Copyright © 2015 Elsevier Ltd. All rights reserved.

  13. Effect of two yoga-based relaxation techniques on memory scores and state anxiety

    Directory of Open Access Journals (Sweden)

    Telles Shirley

    2009-08-01

    Full Text Available Abstract Background A yoga practice involving cycles of yoga postures and supine rest (called cyclic meditation was previously shown to improve performance in attention tasks more than relaxation in the corpse posture (shavasana. This was ascribed to reduced anxiety, though this was not assessed. Methods In fifty-seven male volunteers (group average age ± S.D., 26.6 ± 4.5 years the immediate effect of two yoga relaxation techniques was studied on memory and state anxiety. All participants were assessed before and after (i Cyclic meditation (CM practiced for 22:30 minutes on one day and (ii an equal duration of Supine rest (SR or the corpse posture (shavasana, on another day. Sections of the Wechsler memory scale (WMS were used to assess; (i attention and concentration (digit span forward and backward, and (ii associate learning. State anxiety was assessed using Spielberger's State-Trait Anxiety Inventory (STAI. Results There was a significant improvement in the scores of all sections of the WMS studied after both CM and SR, but, the magnitude of change was more after CM compared to after SR. The state anxiety scores decreased after both CM and SR, with a greater magnitude of decrease after CM. There was no correlation between percentage change in memory scores and state anxiety for either session. Conclusion A cyclical combination of yoga postures and supine rest in CM improved memory scores immediately after the practice and decreased state anxiety more than rest in a classical yoga relaxation posture (shavasana.

  14. A novel approach for lie detection based on F-score and extreme learning machine.

    Directory of Open Access Journals (Sweden)

    Junfeng Gao

    Full Text Available A new machine learning method referred to as F-score_ELM was proposed to classify the lying and truth-telling using the electroencephalogram (EEG signals from 28 guilty and innocent subjects. Thirty-one features were extracted from the probe responses from these subjects. Then, a recently-developed classifier called extreme learning machine (ELM was combined with F-score, a simple but effective feature selection method, to jointly optimize the number of the hidden nodes of ELM and the feature subset by a grid-searching training procedure. The method was compared to two classification models combining principal component analysis with back-propagation network and support vector machine classifiers. We thoroughly assessed the performance of these classification models including the training and testing time, sensitivity and specificity from the training and testing sets, as well as network size. The experimental results showed that the number of the hidden nodes can be effectively optimized by the proposed method. Also, F-score_ELM obtained the best classification accuracy and required the shortest training and testing time.

  15. A MATLAB tool for pathway enrichment using a topology-based pathway regulation score.

    Science.gov (United States)

    Ibrahim, Maysson; Jassim, Sabah; Cawthorne, Michael Anthony; Langlands, Kenneth

    2014-11-04

    Handling the vast amount of gene expression data generated by genome-wide transcriptional profiling techniques is a challenging task, demanding an informed combination of pre-processing, filtering and analysis methods if meaningful biological conclusions are to be drawn. For example, a range of traditional statistical and computational pathway analysis approaches have been used to identify over-represented processes in microarray data derived from various disease states. However, most of these approaches tend not to exploit the full spectrum of gene expression data, or the various relationships and dependencies. Previously, we described a pathway enrichment analysis tool created in MATLAB that yields a Pathway Regulation Score (PRS) by considering signalling pathway topology, and the overrepresentation and magnitude of differentially-expressed genes (J Comput Biol 19:563-573, 2012). Herein, we extended this approach to include metabolic pathways, and described the use of a graphical user interface (GUI). Using input from a variety of microarray platforms and species, users are able to calculate PRS scores, along with a corresponding z-score for comparison. Further pathway significance assessment may be performed to increase confidence in the pathways obtained, and users can view Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway diagrams marked-up to highlight impacted genes. The PRS tool provides a filter in the isolation of biologically-relevant insights from complex transcriptomic data.

  16. A knowledge-based theory of rising scores on "culture-free" tests.

    Science.gov (United States)

    Fox, Mark C; Mitchum, Ainsley L

    2013-08-01

    Secular gains in intelligence test scores have perplexed researchers since they were documented by Flynn (1984, 1987). Gains are most pronounced on abstract, so-called culture-free tests, prompting Flynn (2007) to attribute them to problem-solving skills availed by scientifically advanced cultures. We propose that recent-born individuals have adopted an approach to analogy that enables them to infer higher level relations requiring roles that are not intrinsic to the objects that constitute initial representations of items. This proposal is translated into item-specific predictions about differences between cohorts in pass rates and item-response patterns on the Raven's Matrices (Flynn, 1987), a seemingly culture-free test that registers the largest Flynn effect. Consistent with predictions, archival data reveal that individuals born around 1940 are less able to map objects at higher levels of relational abstraction than individuals born around 1990. Polytomous Rasch models verify predicted violations of measurement invariance, as raw scores are found to underestimate the number of analogical rules inferred by members of the earlier cohort relative to members of the later cohort who achieve the same overall score. The work provides a plausible cognitive account of the Flynn effect, furthers understanding of the cognition of matrix reasoning, and underscores the need to consider how test-takers select item responses. PsycINFO Database Record (c) 2013 APA, all rights reserved.

  17. Chest computed tomography-based scoring of thoracic sarcoidosis: Inter-rater reliability of CT abnormalities

    International Nuclear Information System (INIS)

    Heuvel, D.A.V. den; Es, H.W. van; Heesewijk, J.P. van; Spee, M.; Jong, P.A. de; Zanen, P.; Grutters, J.C.

    2015-01-01

    To determine inter-rater reliability of sarcoidosis-related computed tomography (CT) findings that can be used for scoring of thoracic sarcoidosis. CT images of 51 patients with sarcoidosis were scored by five chest radiologists for various abnormal CT findings (22 in total) encountered in thoracic sarcoidosis. Using intra-class correlation coefficient (ICC) analysis, inter-rater reliability was analysed and reported according to the Guidelines for Reporting Reliability and Agreement Studies (GRRAS) criteria. A pre-specified sub-analysis was performed to investigate the effect of training. Scoring was trained in a distinct set of 15 scans in which all abnormal CT findings were represented. Median age of the 51 patients (36 men, 70 %) was 43 years (range 26 - 64 years). All radiographic stages were present in this group. ICC ranged from 0.91 for honeycombing to 0.11 for nodular margin (sharp versus ill-defined). The ICC was above 0.60 in 13 of the 22 abnormal findings. Sub-analysis for the best-trained observers demonstrated an ICC improvement for all abnormal findings and values above 0.60 for 16 of the 22 abnormalities. In our cohort, reliability between raters was acceptable for 16 thoracic sarcoidosis-related abnormal CT findings. (orig.)

  18. Automated prediction of emphysema visual score using homology-based quantification of low-attenuation lung region.

    Directory of Open Access Journals (Sweden)

    Mizuho Nishio

    Full Text Available The purpose of this study was to investigate the relationship between visual score of emphysema and homology-based emphysema quantification (HEQ and evaluate whether visual score was accurately predicted by machine learning and HEQ.A total of 115 anonymized computed tomography images from 39 patients were obtained from a public database. Emphysema quantification of these images was performed by measuring the percentage of low-attenuation lung area (LAA%. The following values related to HEQ were obtained: nb0 and nb1. LAA% and HEQ were calculated at various threshold levels ranging from -1000 HU to -700 HU. Spearman's correlation coefficients between emphysema quantification and visual score were calculated at the various threshold levels. Visual score was predicted by machine learning and emphysema quantification (LAA% or HEQ. Random Forest was used as a machine learning algorithm, and accuracy of prediction was evaluated by leave-one-patient-out cross validation. The difference in the accuracy was assessed using McNemar's test.The correlation coefficients between emphysema quantification and visual score were as follows: LAA% (-950 HU, 0.567; LAA% (-910 HU, 0.654; LAA% (-875 HU, 0.704; nb0 (-950 HU, 0.552; nb0 (-910 HU, 0.629; nb0 (-875 HU, 0.473; nb1 (-950 HU, 0.149; nb1 (-910 HU, 0.519; and nb1 (-875 HU, 0.716. The accuracy of prediction was as follows: LAA%, 55.7% and HEQ, 66.1%. The difference in accuracy was statistically significant (p = 0.0290.LAA% and HEQ at -875 HU showed a stronger correlation with visual score than those at -910 or -950 HU. HEQ was more useful than LAA% for predicting visual score.

  19. COMMUNITY BASED HOME ENERGY MANAGEMENT SYSTEM

    Directory of Open Access Journals (Sweden)

    Muhammad Adnan Aziz

    2017-05-01

    Full Text Available In a Smart Grid (SG scenario, domestic consumers can gain cost reduction benefit by scheduling their Appliance Activation Time (AAT towards the slots of low charge. Minimization in cost is essential in Home Energy Management Systems (HEMS to induce consumers acceptance for power scheduling to accommodate for a Demand Response (DR at peak hours. Despite the fact that many algorithms address the power scheduling for HEMS, community based optimization has not been the focus. This paper presents an algorithm that targets the minimization of energy costs of whole community while keeping a low Peak to Average Ratio (PAR and smooth Power Usage Pattern (PUP. Objective of cost reduction is accomplished by finding most favorable AAT by Particle Swarm Optimization (PSO in conjunction with Inclined Block Rate (IBR approach and Circular Price Shift (CPS. Simulated numerical results demonstrate the effectiveness of CPS to assist the merger of PSO & IBR to enhance the reduction/stability of PAR and cost reduction.

  20. Energy Data Base: subject categories and scope

    International Nuclear Information System (INIS)

    Bost, D.E.

    1985-03-01

    The subject scope of the Energy Data Base (EDB) encompasses all DOE-sponsored research. Broadly defined, EDB subject scope includes all technological aspects of energy production, conversion, and efficient utilization, and the economic, social, and political aspects as well. Scope notes are provided to define the extent of interest in certain subject areas, particularly areas of basic research. Cross references between categories are provided to aid both the categorization of information and its retrieval. Citations entered into DOE's computerized bibliographic information system are assigned six-digit subject category numbers to broadly group information for storage, retrieval, and manipulation. These numbers are used in the preparation of printed documents, such as bibliographies and abstract journals, to arrange the citations and to aid searching on the DOE/RECON on-line system

  1. LoCo: a novel main chain scoring function for protein structure prediction based on local coordinates

    Directory of Open Access Journals (Sweden)

    Samudrala Ram

    2011-09-01

    Full Text Available Abstract Background Successful protein structure prediction requires accurate low-resolution scoring functions so that protein main chain conformations that are close to the native can be identified. Once that is accomplished, a more detailed and time-consuming treatment to produce all-atom models can be undertaken. The earliest low-resolution scoring used simple distance-based "contact potentials," but more recently, the relative orientations of interacting amino acids have been taken into account to improve performance. Results We developed a new knowledge-based scoring function, LoCo, that locates the interaction partners of each individual residue within a local coordinate system based only on the position of its main chain N, Cα and C atoms. LoCo was trained on a large set of experimentally determined structures and optimized using standard sets of modeled structures, or "decoys." No structure used to train or optimize the function was included among those used to test it. When tested against 29 other published main chain functions on a group of 77 commonly used decoy sets, our function outperformed all others in Cα RMSD rank of the best-scoring decoy, with statistically significant p-values Conclusions Our function demonstrates an unmatched combination of accuracy, speed, and simplicity and shows excellent promise for protein structure prediction. Broader applications may include protein-protein interactions and protein design.

  2. Scoring protein interaction decoys using exposed residues (SPIDER): a novel multibody interaction scoring function based on frequent geometric patterns of interfacial residues.

    Science.gov (United States)

    Khashan, Raed; Zheng, Weifan; Tropsha, Alexander

    2012-08-01

    Accurate prediction of the structure of protein-protein complexes in computational docking experiments remains a formidable challenge. It has been recognized that identifying native or native-like poses among multiple decoys is the major bottleneck of the current scoring functions used in docking. We have developed a novel multibody pose-scoring function that has no theoretical limit on the number of residues contributing to the individual interaction terms. We use a coarse-grain representation of a protein-protein complex where each residue is represented by its side chain centroid. We apply a computational geometry approach called Almost-Delaunay tessellation that transforms protein-protein complexes into a residue contact network, or an undirectional graph where vertex-residues are nodes connected by edges. This treatment forms a family of interfacial graphs representing a dataset of protein-protein complexes. We then employ frequent subgraph mining approach to identify common interfacial residue patterns that appear in at least a subset of native protein-protein interfaces. The geometrical parameters and frequency of occurrence of each "native" pattern in the training set are used to develop the new SPIDER scoring function. SPIDER was validated using standard "ZDOCK" benchmark dataset that was not used in the development of SPIDER. We demonstrate that SPIDER scoring function ranks native and native-like poses above geometrical decoys and that it exceeds in performance a popular ZRANK scoring function. SPIDER was ranked among the top scoring functions in a recent round of CAPRI (Critical Assessment of PRedicted Interactions) blind test of protein-protein docking methods. Copyright © 2012 Wiley Periodicals, Inc.

  3. Energy Information Data Base: corporate author entries

    International Nuclear Information System (INIS)

    1980-03-01

    One of the controls for information entered into the data bases created and maintained by the DOE Technical Information Center is the standardized name for the corporate entity or the corporate author. The purpose of Energy Information Data Base: Corporate Author Entries (TID-4585-R1) and this supplemental list of authorized or standardized corporate entries is to provide a means for the consistent citing of the names of organizations in bibliographic records. In general, an entry in Corporate Author Entries consists of the seven-digit code number assigned to the particular corporate entity, the two-letter country code, the largest element of the corporate name, the location of the corporate entity, and the smallest element of the corporate name (if provided). This supplement [DOE/TIC-4585-R1(Suppl.5)] contains additions to the base document (TID-4585-R1) and is intended to be used with that publication

  4. Optimization of MRI-based scoring scales of brain injury severity in children with unilateral cerebral palsy

    Energy Technology Data Exchange (ETDEWEB)

    Pagnozzi, Alex M. [Royal Brisbane and Women' s Hospital, CSIRO Digital Productivity and Services Flagship, The Australian e-Health Research Centre, Herston, QLD (Australia); The University of Queensland, School of Medicine, Brisbane (Australia); Fiori, Simona [Stella Maris Scientific Institute, Pisa (Italy); Boyd, Roslyn N. [The University of Queensland, Queensland Cerebral Palsy and Rehabilitation Research Centre, School of Medicine, Brisbane (Australia); Guzzetta, Andrea [Stella Maris Scientific Institute, Pisa (Italy); University of Pisa, Department of Clinical and Experimental Medicine, Pisa (Italy); Doecke, James; Rose, Stephen; Dowson, Nicholas [Royal Brisbane and Women' s Hospital, CSIRO Digital Productivity and Services Flagship, The Australian e-Health Research Centre, Herston, QLD (Australia); Gal, Yaniv [The University of Queensland, Centre for Medical Diagnostic Technologies in Queensland, Brisbane (Australia)

    2016-02-15

    Several scoring systems for measuring brain injury severity have been developed to standardize the classification of MRI results, which allows for the prediction of functional outcomes to help plan effective interventions for children with cerebral palsy. The aim of this study is to use statistical techniques to optimize the clinical utility of a recently proposed template-based scoring method by weighting individual anatomical scores of injury, while maintaining its simplicity by retaining only a subset of scored anatomical regions. Seventy-six children with unilateral cerebral palsy were evaluated in terms of upper limb motor function using the Assisting Hand Assessment measure and injuries visible on MRI using a semiquantitative approach. This cohort included 52 children with periventricular white matter injury and 24 with cortical and deep gray matter injuries. A subset of the template-derived cerebral regions was selected using a data-driven region selection algorithm. Linear regression was performed using this subset, with interaction effects excluded. Linear regression improved multiple correlations between MRI-based and Assisting Hand Assessment scores for both periventricular white matter (R squared increased to 0.45 from 0, P < 0.0001) and cortical and deep gray matter (0.84 from 0.44, P < 0.0001) cohorts. In both cohorts, the data-driven approach retained fewer than 8 of the 40 template-derived anatomical regions. The equal or better prediction of the clinically meaningful Assisting Hand Assessment measure using fewer anatomical regions highlights the potential of these developments to enable enhanced quantification of injury and prediction of patient motor outcome, while maintaining the clinical expediency of the scoring approach. (orig.)

  5. Optimization of MRI-based scoring scales of brain injury severity in children with unilateral cerebral palsy.

    Science.gov (United States)

    Pagnozzi, Alex M; Fiori, Simona; Boyd, Roslyn N; Guzzetta, Andrea; Doecke, James; Gal, Yaniv; Rose, Stephen; Dowson, Nicholas

    2016-02-01

    Several scoring systems for measuring brain injury severity have been developed to standardize the classification of MRI results, which allows for the prediction of functional outcomes to help plan effective interventions for children with cerebral palsy. The aim of this study is to use statistical techniques to optimize the clinical utility of a recently proposed template-based scoring method by weighting individual anatomical scores of injury, while maintaining its simplicity by retaining only a subset of scored anatomical regions. Seventy-six children with unilateral cerebral palsy were evaluated in terms of upper limb motor function using the Assisting Hand Assessment measure and injuries visible on MRI using a semiquantitative approach. This cohort included 52 children with periventricular white matter injury and 24 with cortical and deep gray matter injuries. A subset of the template-derived cerebral regions was selected using a data-driven region selection algorithm. Linear regression was performed using this subset, with interaction effects excluded. Linear regression improved multiple correlations between MRI-based and Assisting Hand Assessment scores for both periventricular white matter (R squared increased to 0.45 from 0, P < 0.0001) and cortical and deep gray matter (0.84 from 0.44, P < 0.0001) cohorts. In both cohorts, the data-driven approach retained fewer than 8 of the 40 template-derived anatomical regions. The equal or better prediction of the clinically meaningful Assisting Hand Assessment measure using fewer anatomical regions highlights the potential of these developments to enable enhanced quantification of injury and prediction of patient motor outcome, while maintaining the clinical expediency of the scoring approach.

  6. On-farm estimation of energy balance in dairy cows using only frequent body weight measurements and body condition score

    DEFF Research Database (Denmark)

    Thorup, Vivi Mørkøre; Edwards, David; Friggens, N C

    2012-01-01

    , the FEC profile did not suggest any systematic bias in EBalbody with stage of lactation. Moreover we successfully modeled EBalbody differences between breeds, parities and diets. For the farmer, the ability to predict energy balance for individual cows on-farm without having to measure feed intake would......Precise energy balance estimates for individual cows are of great importance to health, reproduction and feed management. Energy balance is usually calculated as energy input minus output (EBalinout), requiring measurements of feed intake and energy output sources (milk, maintenance, activity......, growth and pregnancy). Except milk yield, direct measurements of these are difficult to obtain in practice, and estimates involve considerable error sources, so limiting on-farm use. Alternatively, energy balance can be estimated from body reserve changes (EBalbody) using body weight (BW) and body...

  7. Energy-based dynamic reliability analysis

    International Nuclear Information System (INIS)

    Fukushima, S.; Mizutani, M.; Akao, Y.; Katukura, H.

    1993-01-01

    Dynamic reliability analysis (DRA) of structures subjected to strong ground motions is one of the most important parts of the safety assessment of structures. So far many DRA methods based on probabilistic theory have been developed. Generally, DRA methods are divided into three phases; seismic hazard analysis, fragility synthesis, and evaluation of probability of failure. In most DRA method, the seismic hazard curves of peak ground acceleration (PGA) or spectral acceleration at a certain period is evaluated to show the occurrence ratio of input motion in the seismic hazard analysis, and, in the fragility synthesis, random vibration theory is adopted to calculate the conditional probability of failure of structures given the occurrence of input motion. Since random vibration theory is developed in the frequency domain, PGAs are transformed into information in the frequency domain by means of introducing so-called peak factors and power spectra. This fact suggests that it is more convenient for DRA researchers to define the seismic hazardous the indices defined in the frequency domain from the first. In this paper, DRAs based on the two indices, i.e. PGA and total energy, are investigated in detail. Through the study, features and issues of DRA based on the total energy (hereafter called EDRA) are clarified from the viewpoint of the responses of the structure. (author)

  8. Statistical interpretation of machine learning-based feature importance scores for biomarker discovery.

    Science.gov (United States)

    Huynh-Thu, Vân Anh; Saeys, Yvan; Wehenkel, Louis; Geurts, Pierre

    2012-07-01

    Univariate statistical tests are widely used for biomarker discovery in bioinformatics. These procedures are simple, fast and their output is easily interpretable by biologists but they can only identify variables that provide a significant amount of information in isolation from the other variables. As biological processes are expected to involve complex interactions between variables, univariate methods thus potentially miss some informative biomarkers. Variable relevance scores provided by machine learning techniques, however, are potentially able to highlight multivariate interacting effects, but unlike the p-values returned by univariate tests, these relevance scores are usually not statistically interpretable. This lack of interpretability hampers the determination of a relevance threshold for extracting a feature subset from the rankings and also prevents the wide adoption of these methods by practicians. We evaluated several, existing and novel, procedures that extract relevant features from rankings derived from machine learning approaches. These procedures replace the relevance scores with measures that can be interpreted in a statistical way, such as p-values, false discovery rates, or family wise error rates, for which it is easier to determine a significance level. Experiments were performed on several artificial problems as well as on real microarray datasets. Although the methods differ in terms of computing times and the tradeoff, they achieve in terms of false positives and false negatives, some of them greatly help in the extraction of truly relevant biomarkers and should thus be of great practical interest for biologists and physicians. As a side conclusion, our experiments also clearly highlight that using model performance as a criterion for feature selection is often counter-productive. Python source codes of all tested methods, as well as the MATLAB scripts used for data simulation, can be found in the Supplementary Material.

  9. Comparison of malnutrition inflammation score, anthropometry and biochemical parameters in assessing the difference in protein-energy wasting between normal weight and obese patients undergoing haemodialysis.

    Science.gov (United States)

    Alipoor, Elham; Hosseinzadeh-Attar, Mohammad Javad; Mahdavi-Mazdeh, Mitra; Yaseri, Mehdi; Zahed, Narges S

    2017-07-01

    Protein-energy wasting (PEW) is prevalent in haemodialysis. Obesity is an independent risk factor of kidney insufficiency, but it is proposed to have beneficial roles in better outcomes in the final stage of disease. Better nutritional status and body reserves are among probable mechanisms, but direct examinations are limited. The present study aimed to investigate whether obese patients have preferable nutritional status compared to normal weight patients based on malnutrition inflammation score (MIS) and other PEW parameters in haemodialysis. This case-control study investigated 52 normal weight (18.5 < body mass index (BMI) < 25 kg/m 2 ) and 48 obese (BMI≥30 kg/m 2 ) patients on regular haemodialysis. PEW was assessed based on anthropometric and biochemical factors, recent weight changes, appetite, anorexia, dietary intake and MIS. Obese patients had better MIS compared with the normal weight group (P < 0.001), although varying degrees of wasting were prevalent among this group too (75% mild and 25% moderate wasting). The obese group had less significant weight loss (4.2 vs 8%) and anorexia and better appetite. However, a considerable percentage of patients in both groups showed muscle (94.6% of normal weight and 19.5% of obese) and peripheral fat tissue (89.2% of normal weight and 31.7% of obese) losses compared to the 50th percentile. Biochemical parameters were not significantly different between groups except for triglyceride (P = 0.001), transferrin and total iron-binding capacity (P = 0.028). MIS was significantly better in obese patients; however, both groups showed degrees of wasting based on MIS and other PEW parameters. Nutritional status of obese haemodialysis patients should be monitored regularly because of high risk of PEW like other BMI categories. © 2017 Dietitians Association of Australia.

  10. The Chemistry Scoring Index (CSI: A Hazard-Based Scoring and Ranking Tool for Chemicals and Products Used in the Oil and Gas Industry

    Directory of Open Access Journals (Sweden)

    Tim Verslycke

    2014-06-01

    Full Text Available A large portfolio of chemicals and products is needed to meet the wide range of performance requirements of the oil and gas industry. The oil and gas industry is under increased scrutiny from regulators, environmental groups, the public, and other stakeholders for use of their chemicals. In response, industry is increasingly incorporating “greener” products and practices but is struggling to define and quantify what exactly constitutes “green” in the absence of a universally accepted definition. We recently developed the Chemistry Scoring Index (CSI which is ultimately intended to be a globally implementable tool that comprehensively scores and ranks hazards to human health, safety, and the environment for products used in oil and gas operations. CSI scores are assigned to products designed for the same use (e.g., surfactants, catalysts on the basis of product composition as well as intrinsic hazard properties and data availability for each product component. As such, products with a lower CSI score within a product use group are considered to have a lower intrinsic hazard compared to other products within the same use group. The CSI provides a powerful tool to evaluate relative product hazards; to review and assess product portfolios; and to aid in the formulation of products.

  11. Scoring system based on electrocardiogram features to predict the type of heart failure in patients with chronic heart failure

    Directory of Open Access Journals (Sweden)

    Hendry Purnasidha Bagaswoto

    2016-12-01

    Full Text Available ABSTRACT Heart failure is divided into heart failure with reduced ejection fraction (HFrEF and heart failure with preserved ejection fraction (HFpEF. Additional studies are required to distinguish between these two types of HF. A previous study showed that HFrEF is less likely when ECG findings are normal. This study aims to create a scoring system based on ECG findings that will predict the type of HF. We performed a cross-sectional study analyzing ECG and echocardiographic data from 110 subjects. HFrEF was defined as an ejection fraction ≤40%. Fifty people were diagnosed with HFpEF and 60 people suffered from HFrEF. Multiple logistic regression analysis revealed certain ECG variables that were independent predictors of HFrEF i.e., LAH, QRS duration >100 ms, RBBB, ST-T segment changes and prolongation of the QT interval. Based on ROC curve analysis, we obtained a score for HFpEF of -1 to +3, while HFrEF had a score of +4 to +6 with 76% sensitivity, 96% specificity, 95% positive predictive value, an 80% negative predictive value and an accuracy of 86%. The scoring system derived from this study, including the presence or absence of LAH, QRS duration >100 ms, RBBB, ST-T segment changes and prolongation of the QT interval can be used to predict the type of HF with satisfactory sensitivity and specificity

  12. Ultrasound-based scores as predictors for nodular hyperplasia in patients with secondary hyperparathyroidism: a prospective validation study.

    Science.gov (United States)

    Gwiasda, Jill; Kaltenborn, Alexander; Müller, Jörg A; Serttas, Michaela; Scheumann, Georg W F; Schrem, Harald; Jäger, Mark D

    2017-03-01

    Former studies evaluated echostructural and vascular patterns in ultrasound of the parathyroid gland to identify nodular hyperplasia in patients with secondary hyperparathyroidism due to chronic kidney disease. This prospective study aims to externally validate suggested ultrasound classifications. Parathyroid glands of 27 patients with secondary hyperparathyroidism undergoing parathyroidectomy were prospectively analyzed. Ultrasound including Doppler imaging was performed 1 day prior to surgery. Ultrasound data were available for 70 parathyroid glands. Echostructural and vascular scores according to previous studies were applied calculating the area under the receiver operating characteristic curve (AUROC). Overall correctness, sensitivity, and specificity of the investigated scores were assessed with the Youden index method. The Doppler score introduced by Vulpio and colleagues based on characteristic blood flow patterns in parathyroid glands showed an AUROC of 0.749 for the prediction of nodular hyperplasia with an overall correctness of 72.8%. Other ultrasound classifications based on blood flow patterns, as well as echostructure of the parathyroid gland displayed AUROCs of secondary hyperparathyroidism was externally validated for the first time. Other ultrasound scores fail as prognostic models in this study population. Doppler sonography of the parathyroid gland has prognostic capability to identify nodular hyperplasia as surrogate marker for patients with secondary hyperparathyroidism indicating the need for ablative or surgical treatment when failing conservative therapy.

  13. [Collateral score based on CT perfusion can predict the prognosis of patients with anterior circulation ischemic stroke after thrombectomy].

    Science.gov (United States)

    Wang, Qingsong; Zhang, Sheng; Zhang, Meixia; Chen, Zhicai; Lou, Min

    2017-07-25

    To evaluate the value of collateral score based on CT perfusion (CTP-CS) in predicting the clinical outcome of patients with anterior circulation ischemic stroke after thrombectomy. Clinical data of acute ischemic stroke patients with anterior artery occlusion undergoing endovascular treatment in the Second Affiliated Hospital, Zhejiang University School of Medicine during October 2013 and October 2016 were retrospectively reviewed. Collateral scores were assessed based on CTP and digital subtraction angiography (DSA) images, respectively. And DSA-CS or CTP-CS 3-4 was defined as good collateral vessels. Good clinical outcome was defined as a modified Rankin Scale (mRS) ≤ 2 at 3 months after stroke. The binary logistic regression model was used to analyze the correlation between the collateral score and clinical outcome, and the receiver operating characteristic (ROC) curve was used to analyze the value of DSA-CS and CTP-CS in predicting the clinical outcome. Among 40 patients, 33 (82.5%) acquired recanalization and 16 (40.0%) got good outcome. Compared with poor outcome group, the collateral score (all P collateral vessels were higher in good outcome group (all P collateral vessels were independent factor of good outcome (CTP-CS: OR =48.404, 95% CI :1.373-1706.585, P Collateral scores based on CTP and DSA had good consistency ( κ =0.697, P <0.01), and ROC curve showed that the predictive value of CTP-CS and DSA-CS were comparable (both AUC=0.726, 95% CI :0.559-0.893, P <0.05). CTP-CS can predict the clinical outcome of patients with anterior circulation ischemic stroke after thrombectomy.

  14. Hydrogen based energy storage for solar energy systems

    Energy Technology Data Exchange (ETDEWEB)

    Vanhanen, J.; Hagstroem, M.; Lund, P. [Helsinki Univ. of Technology, Otaniemi (Finland). Advanced Energy Systems

    1998-10-01

    The main technical constraint in solar energy systems which operate around the year is the lack of suitable long-term energy storage. Conventional solutions to overcome the problem of seasonal storage in PV power systems are to use oversized batteries as a seasonal energy storage, or to use a diesel back-up generator. However, affordable lead-acid batteries are not very suitable for seasonal energy storage because of a high self-discharge rate and enhanced deterioration and divergence of the single cells during prolonged periods of low state of charge in times of low irradiation. These disadvantages can be avoided by a back-up system, e.g. a diesel generator, which car supply energy to the loads and charge the battery to the full state of charge to avoid the above mentioned disadvantages. Unfortunately, diesel generators have several disadvantages, e.g. poor starting reliability, frequent need for maintenance and noise

  15. Value of the energy data base

    Energy Technology Data Exchange (ETDEWEB)

    King, D.W.; Griffiths, J.M.; Roderer, N.K.; Wiederkehr, R.R.V.

    1982-03-31

    An assessment was made of the Energy Data Base (EDB) of the Department of Energy's Technical Information Center (TIC). As the major resource containing access information to the world's energy literature, EDB products and services are used extensively by energy researchers to identify journal articles, technical reports and other items of potential utility in their work. The approach taken to assessing value begins with the measurement of extent of use of the EDB. Apparent value is measured in terms of willingness to pay. Consequential value is measured in terms of effect - for searching, the cost of reading which results; and for reading, the savings which result from the application of the information obtained in reading. Resulting estimates of value reflect value to the searchers, the reader, and the reader's organization or funding source. A survey of the 60,000 scientists and eingineers funded by the DOE shows that annually they read about 7.1 million journal articles and 6.6 million technical reports. A wide range of savings values were reported for one-fourth of all article readings and three-fourths of all report readings. There was an average savings of $590 per reading of all articles; there was an average savings of $1280 for technical reports. The total annual savings attributable to reading by DOE-funded scientists and engineers is estimated to be about $13 billion. An investment of $5.3 billion in the generation of information and about $500 million in processing and using information yields a partial return of about $13 billion. Overall, this partial return on investment is about 2.2 to 1. In determining the value of EDB only those searches and readings directly attributable to it are included in the analysis. The values are $20 million to the searchers, $117 million to the readers and $3.6 billion to DOE.

  16. Anterior Cruciate Ligament OsteoArthritis Score (ACLOAS): Longitudinal MRI-based whole joint assessment of anterior cruciate ligament injury.

    Science.gov (United States)

    Roemer, Frank W; Frobell, Richard; Lohmander, L Stefan; Niu, Jingbo; Guermazi, Ali

    2014-05-01

    To develop a whole joint scoring system, the Anterior Cruciate Ligament OsteoArthritis Score (ACLOAS), for magnetic resonance imaging (MRI)-based assessment of acute anterior cruciate ligament (ACL) injury and follow-up of structural sequelae, and to assess its reliability. Baseline and follow-up 1.5 T MRI examinations from 20 patients of the KANON study, a randomized controlled study comparing a surgical and non-surgical treatment strategy, were assessed for up to six longitudinal visits using a novel MRI scoring system incorporating acute structural tissue damage and longitudinal changes including osteoarthritis (OA) features. Joint features assessed were acute osteochondral injury, traumatic and degenerative bone marrow lesions (BMLs), meniscus morphology and extrusion, osteophytes, collateral and cruciate ligaments including ACL graft, Hoffa-synovitis and effusion-synovitis. Cross-sectional (baseline) and longitudinal (all time points and change) intra- and inter-observer reliability was calculated using weighted (w) kappa statistics and overall percent agreement on a compartmental basis (medial tibio-femoral, lateral tibio-femoral, patello-femoral). Altogether 87 time points were evaluated. Intra-observer reliability ranged between 0.52 (baseline, Hoffa-synovitis) and 1.00 (several features), percent agreement between 52% (all time points, Hoffa-synovitis) and 100% (several features). Inter-observer reliability ranged between 0.00 and 1.00, which is explained by low frequency of some of the features. Altogether, 73% of all assessed 142 parameters showed w-kappa values between 0.80 and 1.00 and 92% showed agreement above 80%. ACLOAS allows reliable scoring of acute ACL injury and longitudinal changes. This novel scoring system incorporates features that may be relevant for structural outcome not covered by established OA scoring instruments. Copyright © 2014 Osteoarthritis Research Society International. Published by Elsevier Ltd. All rights reserved.

  17. Energy Data Base corporate author entries

    International Nuclear Information System (INIS)

    Hendricks, P.L.

    1984-04-01

    The US Department of Energy is one of three agencies funding the major portion of government-supported research. One of the ways to locate the results of this research is to find reports in the Energy Data Base (EDB), the comprehensive data base of the Office of Scientific and Technical Information, Technical Information Center, and in publications derived therefrom by referring to the corporate organization performing the research. This information field has been established as an index point retrievable in on-line searching and is included as an index in printed publications. To provide consistent citing of names in bibliographic entries, this authority has been created and maintained as a means of entry of corporate names into the EDB. To locate such information, one can (1) use the seven-digit code number assigned to the corporate entity of interest (enter, for example, IC=9506086) or (2) use one word at a time from the corporate name given (enter, for example, CS=Dominion)

  18. Measuring sun exposure habits and sun protection behaviour using a comprehensive scoring instrument--an illustration of a possible model based on Likert scale scorings and on estimation of readiness to increase sun protection.

    Science.gov (United States)

    Falk, M; Anderson, C D

    2012-08-01

    Few attempts to present a comprehensive scoring instrument for sun exposure and protection have been made. The present paper aims to describe a possible set of questions suitable for such an instrument, comprising the most important aspects of sun exposure and protection. The material from a previously performed intervention study, using a questionnaire based on Likert scales and on the Transtheoretical Model of Behaviour Change (TTM), was utilised. 213 primary healthcare patients filled in the questionnaire and were randomised into two groups receiving sun protection advice, in Group 1 in letter-form, and in Group 2 orally during a doctor's consultation. In the original study, increased sun protection/readiness to increase sun protection was demonstrated for several items in Group 2, at six months. To compose a comprehensive scoring instrument, five questions concerning sun exposure/protection (intentional tanning, sunscreen use, choice of SPF, number of occasions with sunburn, and time spent in the sun at midday), were selected to give a 20 point behavioural score. Similarly, four TTM-based questions (giving up sunbathing, using clothes for sun protection, using sunscreens, and staying in the shade) gave a 16 point "propensity-to-change"-score. At follow-up, increased sun protection reflected in the behavioural score occurred only in Group 2 (p point behavioural score, into three risk levels, revealed a significantly higher shift of subjects moving to a lower risk level in Group 2 compared to Group 1 (pLikert scale behavioural score with a TTM-based propensity-to-change-score seems promising for the creation of a questionnaire-based, comprehensive scoring instrument for sun exposure and protection. Copyright © 2012 Elsevier Ltd. All rights reserved.

  19. From free energy to expected energy: Improving energy-based value function approximation in reinforcement learning.

    Science.gov (United States)

    Elfwing, Stefan; Uchibe, Eiji; Doya, Kenji

    2016-12-01

    Free-energy based reinforcement learning (FERL) was proposed for learning in high-dimensional state and action spaces. However, the FERL method does only really work well with binary, or close to binary, state input, where the number of active states is fewer than the number of non-active states. In the FERL method, the value function is approximated by the negative free energy of a restricted Boltzmann machine (RBM). In our earlier study, we demonstrated that the performance and the robustness of the FERL method can be improved by scaling the free energy by a constant that is related to the size of network. In this study, we propose that RBM function approximation can be further improved by approximating the value function by the negative expected energy (EERL), instead of the negative free energy, as well as being able to handle continuous state input. We validate our proposed method by demonstrating that EERL: (1) outperforms FERL, as well as standard neural network and linear function approximation, for three versions of a gridworld task with high-dimensional image state input; (2) achieves new state-of-the-art results in stochastic SZ-Tetris in both model-free and model-based learning settings; and (3) significantly outperforms FERL and standard neural network function approximation for a robot navigation task with raw and noisy RGB images as state input and a large number of actions. Copyright © 2016 The Author(s). Published by Elsevier Ltd.. All rights reserved.

  20. Risk of Pathologic Upgrading or Locally Advanced Disease in Early Prostate Cancer Patients Based on Biopsy Gleason Score and PSA: A Population-Based Study of Modern Patients

    Energy Technology Data Exchange (ETDEWEB)

    Caster, Joseph M.; Falchook, Aaron D. [Department of Radiation Oncology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (United States); Hendrix, Laura H. [Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (United States); Chen, Ronald C., E-mail: Ronald_chen@med.unc.edu [Department of Radiation Oncology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (United States); Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (United States); Sheps Center for Health Services Research, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina (United States)

    2015-06-01

    Purpose: Radiation oncologists rely on available clinical information (biopsy Gleason score and prostate-specific antigen [PSA]) to determine the optimal treatment regimen for each prostate cancer patient. Existing published nomograms correlating clinical to pathologic extent of disease were based on patients treated in the 1980s and 1990s at select academic institutions. We used the Surveillance, Epidemiology, and End Results (SEER) database to examine pathologic outcomes (Gleason score and cancer stage) in early prostate cancer patients based on biopsy Gleason score and PSA concentration. Methods and Materials: This analysis included 25,858 patients whose cancer was diagnosed between 2010 and 2011, with biopsy Gleason scores of 6 to 7 and clinical stage T1 to T2 disease, who underwent radical prostatectomy. In subgroups based on biopsy Gleason score and PSA level, we report the proportion of patients with pathologically advanced disease (positive surgical margin or pT3-T4 disease) or whose Gleason score was upgraded. Logistic regression was used to examine factors associated with pathologic outcomes. Results: For patients with biopsy Gleason score 6 cancers, 84% of those with PSA <10 ng/mL had surgical T2 disease with negative margins; this decreased to 61% in patients with PSA of 20 to 29.9 ng/mL. Gleason score upgrading was seen in 43% (PSA: <10 ng/mL) to 61% (PSA: 20-29.9 ng/mL) of biopsy Gleason 6 patients. Patients with biopsy Gleason 7 cancers had a one-third (Gleason 3 + 4; PSA: <10 ng/mL) to two-thirds (Gleason 4 + 3; PSA: 20-29.9 ng/mL) probability of having pathologically advanced disease. Gleason score upgrading was seen in 11% to 19% of patients with biopsy Gleason 4 + 3 cancers. Multivariable analysis showed that higher PSA and older age were associated with Gleason score upgrading and pathologically advanced disease. Conclusions: This is the first population-based study to examine pathologic extent of disease and pathologic Gleason score

  1. AP Potential™ Expectancy Tables Based on PSAT/NMSQT® and SAT® Scores on the 2015-16 Redesigned Scales. Statistical Report 2016-2

    Science.gov (United States)

    Ewing, Maureen; Wyatt, Jeffrey N.; Smith, Kara

    2016-01-01

    Historically, AP Potential™ has used PSAT/NMSQT® scores to identify students who are likely to earn a 3 or higher on a specific AP® Exam--based on research showing moderate to strong relationships between PSAT/NMSQT scores and AP Exam scores (Camara & Millsap, 1998; Ewing, Camara & Millsap, 2006; Zhang, Patel & Ewing, 2014a). For most…

  2. AP Potential Expectancy Tables Based on PSAT/NMSQT and SAT Scores on the 2015-16 Redesigned Scales Using Final Concordance Tables. Statistical Report

    Science.gov (United States)

    Ewing, Maureen; Wyatt, Jeff

    2017-01-01

    Historically, AP Potential™ has used PSAT/NMSQT® scores to identify students who are likely to earn a 3 or higher on a specific AP Exam based on research showing moderate to strong relationships between PSAT/NMSQT scores and AP Exam scores (Camara & Millsap, 1998; Ewing, Camara, & Millsap, 2006; Zhang, Patel, & Ewing, 2014a). For most…

  3. A non-invasive risk score for predicting incident diabetes among rural Chinese people: A village-based cohort study.

    Directory of Open Access Journals (Sweden)

    Jiangping Wen

    Full Text Available To develop a new non-invasive risk score for predicting incident diabetes in a rural Chinese population.Data from the Handan Eye Study conducted from 2006-2013 were utilized as part of this analysis. The present study utilized data generated from 4132 participants who were ≥30 years of age. A non-invasive risk model was derived using two-thirds of the sample cohort (selected randomly using stepwise logistic regression. The model was subsequently validated using data from individuals from the final third of the sample cohort. In addition, a simple point system for incident diabetes was generated according to the procedures described in the Framingham Study. Incident diabetes was defined as follows: (1 fasting plasma glucose (FPG ≥ 7.0 mmol/L; or (2 hemoglobin A1c (HbA1c ≥ 6.5%; or (3 self-reported diagnosis of diabetes or use of anti-diabetic medications during the follow-up period.The simple non-invasive risk score included age (8 points, Body mass index (BMI (3 points, waist circumference (WC (7 points, and family history of diabetes (9 points. The score ranged from 0 to 27 and the area under the receiver operating curve (AUC of the score was 0.686 in the validation sample. At the optimal cutoff value (which was 9, the sensitivity and specificity were 74.32% and 58.82%, respectively.Using information based upon age, BMI, WC, and family history of diabetes, we developed a simple new non-invasive risk score for predicting diabetes onset in a rural Chinese population, using information from individuals aged 30 years of age and older. The new risk score proved to be more optimal in the prediction of incident diabetes than most of the existing risk scores developed in Western and Asian countries. This score system will aid in the identification of individuals who are at risk of developing incident diabetes in rural China.

  4. Advanced Taste Sensors Based on Artificial Lipids with Global Selectivity to Basic Taste Qualities and High Correlation to Sensory Scores

    Directory of Open Access Journals (Sweden)

    Yoshikazu Kobayashi

    2010-04-01

    Full Text Available Effective R&D and strict quality control of a broad range of foods, beverages, and pharmaceutical products require objective taste evaluation. Advanced taste sensors using artificial-lipid membranes have been developed based on concepts of global selectivity and high correlation with human sensory score. These sensors respond similarly to similar basic tastes, which they quantify with high correlations to sensory score. Using these unique properties, these sensors can quantify the basic tastes of saltiness, sourness, bitterness, umami, astringency and richness without multivariate analysis or artificial neural networks. This review describes all aspects of these taste sensors based on artificial lipid, ranging from the response principle and optimal design methods to applications in the food, beverage, and pharmaceutical markets.

  5. Advanced Taste Sensors Based on Artificial Lipids with Global Selectivity to Basic Taste Qualities and High Correlation to Sensory Scores

    Science.gov (United States)

    Kobayashi, Yoshikazu; Habara, Masaaki; Ikezazki, Hidekazu; Chen, Ronggang; Naito, Yoshinobu; Toko, Kiyoshi

    2010-01-01

    Effective R&D and strict quality control of a broad range of foods, beverages, and pharmaceutical products require objective taste evaluation. Advanced taste sensors using artificial-lipid membranes have been developed based on concepts of global selectivity and high correlation with human sensory score. These sensors respond similarly to similar basic tastes, which they quantify with high correlations to sensory score. Using these unique properties, these sensors can quantify the basic tastes of saltiness, sourness, bitterness, umami, astringency and richness without multivariate analysis or artificial neural networks. This review describes all aspects of these taste sensors based on artificial lipid, ranging from the response principle and optimal design methods to applications in the food, beverage, and pharmaceutical markets. PMID:22319306

  6. A New Scoring Function for Molecular Docking Based on AutoDock and AutoDock Vina.

    Science.gov (United States)

    Tanchuk, Vsevolod Yu; Tanin, Volodymyr O; Vovk, Andriy I; Poda, Gennady

    2015-01-01

    Molecular docking of small molecules in the protein binding sites is the most widely used computational technique in modern structure-based drug discovery. Although accurate prediction of binding modes of small molecules can be achieved in most cases, estimation of their binding affinities remains mediocre at best. As an attempt to improve the correlation between the inhibitory constants, pKi, and scoring, we created a new, hybrid scoring function. The new function is a linear combination of the terms of the scoring functions of AutoDock and AutoDock Vina. It was trained on 2,412 protein-ligand complexes from the PDBbind database (www.pdbbind.org.cn, version 2012) and validated on a set of 313 complexes released in the 2013 version as a test set. The new function was included in a modified version of AutoDock. The hybrid scoring function showed a statistically significant improvement in both training and test sets in terms of correlation with and root mean square and mean absolute errors in prediction of pKi values. It was also tested on the CSAR 2014 Benchmark Exercise dataset (team T) and produced reasonably good results.

  7. Algal-Based Renewable Energy for Nevada

    Energy Technology Data Exchange (ETDEWEB)

    Fritsen, Christian [Desert Research Institute, Las Vegas, NV (United States)

    2017-03-31

    To help in the overall evaluation of the potential for growing algal biomass in high productivity systems, we conducted a study that evaluated water from geothermal sources and cultivated mixed consortia from hot springs in Nevada, we evaluated their growth at moderately high varying temperatures and then evaluated potential manipulations that could possibly increase their biomass and oleaginous production. Studies were conducted at scales ranging from the laboratory benchtop to raceways in field settings. Mixed consortia were readily grown at all scales and growth could be maintained in Nevada year round. Moderate productivities were attained even during the shoulder seasons- where temperature control was maintained by hot water and seasonally cold temperatures when there was still plentiful solar radiation. The results enhance the prospects for economic feasibility of developing algal based industries in areas with geothermal energy or even other large alternative sources of heat that are not being used for other purposes. The public may benefit from such development as a means for economic development as well as development of industries for alternative energy and products that do not rely on fossil fuels.

  8. Ethnic differences in maternal dietary patterns are largely explained by socio-economic score and integration score: a population-based study.

    Science.gov (United States)

    Sommer, Christine; Sletner, Line; Jenum, Anne K; Mørkrid, Kjersti; Andersen, Lene F; Birkeland, Kåre I; Mosdøl, Annhild

    2013-01-01

    The impact of socio-economic position and integration level on the observed ethnic differences in dietary habits has received little attention. To identify and describe dietary patterns in a multi-ethnic population of pregnant women, to explore ethnic differences in odds ratio (OR) for belonging to a dietary pattern, when adjusted for socio-economic status and integration level and to examine whether the dietary patterns were reflected in levels of biomarkers related to obesity and hyperglycaemia. This cross-sectional study was a part of the STORK Groruddalen study. In total, 757 pregnant women, of whom 59% were of a non-Western origin, completed a food frequency questionnaire in gestational week 28±2. Dietary patterns were extracted through cluster analysis using Ward's method. Four robust clusters were identified where cluster 4 was considered the healthier dietary pattern and cluster 1 the least healthy. All non-European women as compared to Europeans had higher OR for belonging to the unhealthier dietary patterns 1-3 vs. cluster 4. Women from the Middle East and Africa had the highest OR, 21.5 (95% CI 10.6-43.7), of falling into cluster 1 vs. 4 as compared to Europeans. The ORs decreased substantially after adjusting for socio-economic score and integration score. A non-European ethnic origin, low socio-economic and integration scores, conduced higher OR for belonging to clusters 1, 2, and 3 as compared to cluster 4. Significant differences in fasting and 2-h glucose, fasting insulin, glycosylated haemoglobin (HbA1c), insulin resistance (HOMA-IR), and total cholesterol were observed across the dietary patterns. After adjusting for ethnicity, differences in fasting insulin (p=0.015) and HOMA-IR (p=0.040) across clusters remained significant, despite low power. The results indicate that socio-economic and integration level may explain a large proportion of the ethnic differences in dietary patterns.

  9. Image Features Based on Characteristic Curves and Local Binary Patterns for Automated HER2 Scoring

    Directory of Open Access Journals (Sweden)

    Ramakrishnan Mukundan

    2018-02-01

    Full Text Available This paper presents novel feature descriptors and classification algorithms for the automated scoring of HER2 in Whole Slide Images (WSI of breast cancer histology slides. Since a large amount of processing is involved in analyzing WSI images, the primary design goal has been to keep the computational complexity to the minimum possible level and to use simple, yet robust feature descriptors that can provide accurate classification of the slides. We propose two types of feature descriptors that encode important information about staining patterns and the percentage of staining present in ImmunoHistoChemistry (IHC-stained slides. The first descriptor is called a characteristic curve, which is a smooth non-increasing curve that represents the variation of percentage of staining with saturation levels. The second new descriptor introduced in this paper is a local binary pattern (LBP feature curve, which is also a non-increasing smooth curve that represents the local texture of the staining patterns. Both descriptors show excellent interclass variance and intraclass correlation and are suitable for the design of automatic HER2 classification algorithms. This paper gives the detailed theoretical aspects of the feature descriptors and also provides experimental results and a comparative analysis.

  10. Representability of algebraic topology for biomolecules in machine learning based scoring and virtual screening

    Science.gov (United States)

    Mu, Lin

    2018-01-01

    This work introduces a number of algebraic topology approaches, including multi-component persistent homology, multi-level persistent homology, and electrostatic persistence for the representation, characterization, and description of small molecules and biomolecular complexes. In contrast to the conventional persistent homology, multi-component persistent homology retains critical chemical and biological information during the topological simplification of biomolecular geometric complexity. Multi-level persistent homology enables a tailored topological description of inter- and/or intra-molecular interactions of interest. Electrostatic persistence incorporates partial charge information into topological invariants. These topological methods are paired with Wasserstein distance to characterize similarities between molecules and are further integrated with a variety of machine learning algorithms, including k-nearest neighbors, ensemble of trees, and deep convolutional neural networks, to manifest their descriptive and predictive powers for protein-ligand binding analysis and virtual screening of small molecules. Extensive numerical experiments involving 4,414 protein-ligand complexes from the PDBBind database and 128,374 ligand-target and decoy-target pairs in the DUD database are performed to test respectively the scoring power and the discriminatory power of the proposed topological learning strategies. It is demonstrated that the present topological learning outperforms other existing methods in protein-ligand binding affinity prediction and ligand-decoy discrimination. PMID:29309403

  11. Representability of algebraic topology for biomolecules in machine learning based scoring and virtual screening.

    Science.gov (United States)

    Cang, Zixuan; Mu, Lin; Wei, Guo-Wei

    2018-01-01

    This work introduces a number of algebraic topology approaches, including multi-component persistent homology, multi-level persistent homology, and electrostatic persistence for the representation, characterization, and description of small molecules and biomolecular complexes. In contrast to the conventional persistent homology, multi-component persistent homology retains critical chemical and biological information during the topological simplification of biomolecular geometric complexity. Multi-level persistent homology enables a tailored topological description of inter- and/or intra-molecular interactions of interest. Electrostatic persistence incorporates partial charge information into topological invariants. These topological methods are paired with Wasserstein distance to characterize similarities between molecules and are further integrated with a variety of machine learning algorithms, including k-nearest neighbors, ensemble of trees, and deep convolutional neural networks, to manifest their descriptive and predictive powers for protein-ligand binding analysis and virtual screening of small molecules. Extensive numerical experiments involving 4,414 protein-ligand complexes from the PDBBind database and 128,374 ligand-target and decoy-target pairs in the DUD database are performed to test respectively the scoring power and the discriminatory power of the proposed topological learning strategies. It is demonstrated that the present topological learning outperforms other existing methods in protein-ligand binding affinity prediction and ligand-decoy discrimination.

  12. Dielectric Sensors Based on Electromagnetic Energy Tunneling

    Directory of Open Access Journals (Sweden)

    Omar Siddiqui

    2015-03-01

    Full Text Available We show that metallic wires embedded in narrow waveguide bends and channels demonstrate resonance behavior at specific frequencies. The electromagnetic energy at these resonances tunnels through the narrow waveguide channels with almost no propagation losses. Under the tunneling behavior, high-intensity electromagnetic fields are produced in the vicinity of the metallic wires. These intense field resonances can be exploited to build highly sensitive dielectric sensors. The sensor operation is explained with the help of full-wave simulations. A practical setup consisting of a 3D waveguide bend is presented to experimentally observe the tunneling phenomenon. The tunneling frequency is predicted by determining the input impedance minima through a variational formula based on the Green function of a probe-excited parallel plate waveguide.

  13. Capturing, Codifying and Scoring Complex Data for Innovative, Computer-Based Items.

    Science.gov (United States)

    Luecht, Richard M.

    The Microsoft Certification Program (MCP) includes many new computer-based item types, based on complex cases involving the Windows 2000 (registered) operating system. This Innovative Item Technology (IIT) has presented challenges beyond traditional psychometric considerations such as capturing and storing the relevant response data from…

  14. A new symmetry-based scoring method for posture assessment: evaluation of the effect of insoles with mineral derivatives.

    Science.gov (United States)

    Masse, M; Gaillardetz, C; Cron, C; Abribat, T

    2000-01-01

    There is a need for a validated rapid procedure for the evaluation of posture, defined as lateral balance/imbalance at the pelvic, shoulder, and neck levels. This would enable clinicians to determine the importance of symmetry in the pathophysiology of musculoskeletal disorders and to assess the efficacy of devices and treatments claiming to normalize or improve posture. In this investigation, the efficacy of such a device, a set of insoles with a hypothesized proprioceptive-like action, was evaluated through use of the described procedure. To develop a new scoring system to evaluate body posture on the basis of symmetry and to use this scoring system to investigate the efficacy of insoles containing a combination of mineral derivatives designed to balance posture through a neurophysiological effect. The posture score was based on the evaluation of 4 postural parameters: pelvic and shoulder lateral balance/imbalance, static shoulder rotation, and amplitude of head rotation. In the placebo-controlled study, 32 patients were tested in a double-blind fashion, either with placebo insoles or with insoles containing mineral derivatives. The same study was repeated in unblind conditions in 137 patients selected from 2 chiropractic clinics in an open-label protocol. A crossover placebo-controlled, double-blind study and a multicenter, large-scale, open-label study in patients selected from chiropractic clinics. A basal postural evaluation in 137 patients revealed that no patient had a perfect symmetry-ie, a perfectly or nearly perfectly balanced posture. The insoles with mineral derivatives induced a highly significant and similar improvement in the postural score in both the crossover double-blind study (32 patients; 56.7% improvement) and the open-label study (137 patients; 60.7% improvement, P postural imbalances according to the newly developed scoring method, and this method was successful in assessing the efficacy of insoles exerting a profound and immediate postural

  15. Sequence analysis of annually normalized citation counts: an empirical analysis based on the characteristic scores and scales (CSS) method.

    Science.gov (United States)

    Bornmann, Lutz; Ye, Adam Y; Ye, Fred Y

    2017-01-01

    In bibliometrics, only a few publications have focused on the citation histories of publications, where the citations for each citing year are assessed. In this study, therefore, annual categories of field- and time-normalized citation scores (based on the characteristic scores and scales method: 0 = poorly cited, 1 = fairly cited, 2 = remarkably cited, and 3 = outstandingly cited) are used to study the citation histories of papers. As our dataset, we used all articles published in 2000 and their annual citation scores until 2015. We generated annual sequences of citation scores (e.g., [Formula: see text]) and compared the sequences of annual citation scores of six broader fields (natural sciences, engineering and technology, medical and health sciences, agricultural sciences, social sciences, and humanities). In agreement with previous studies, our results demonstrate that sequences with poorly cited (0) and fairly cited (1) elements dominate the publication set; sequences with remarkably cited (3) and outstandingly cited (4) periods are rare. The highest percentages of constantly poorly cited papers can be found in the social sciences; the lowest percentages are in the agricultural sciences and humanities. The largest group of papers with remarkably cited (3) and/or outstandingly cited (4) periods shows an increasing impact over the citing years with the following orders of sequences: [Formula: see text] (6.01%), which is followed by [Formula: see text] (1.62%). Only 0.11% of the papers ( n  = 909) are constantly on the outstandingly cited level.

  16. Risk-based priority scoring for Brookhaven National Laboratory environmental restoration programs

    International Nuclear Information System (INIS)

    Morris, S.C.; Meinhold, A.F.

    1995-05-01

    This report describes the process of estimating the risk associated with environmental restoration programs under the Brookhaven National Laboratory Office of Environmental Restoration. The process was part of an effort across all Department of Energy facilities to provide a consistent framework to communicate risk information about the facilities to senior managers in the DOE Office of Environmental Management to foster understanding of risk activities across programs. the risk evaluation was a qualitative exercise. Categories considered included: Public health and safety; site personnel safety and health; compliance; mission impact; cost-effective risk management; environmental protection; inherent worker risk; environmental effects of clean-up; and social, cultural, political, and economic impacts

  17. Audit of therapeutic interventions in inpatient children using two scores: are they evidence-based in developing countries?

    Directory of Open Access Journals (Sweden)

    Chalco Juan P

    2004-12-01

    Full Text Available Abstract Background The evidence base of clinical interventions in paediatric hospitals of developing countries has not been formally assessed. We performed this study to determine the proportion of evidence-based therapeutic interventions in a paediatric referral hospital of a developing country Methods The medical records of 167 patients admitted in one-month period were revised. Primary diagnosis and primary therapeutic interventions were determined for each patient. A systematic search was performed to assess the level of evidence for each intervention. Therapeutic interventions were classified using the Ellis score and the Oxford Centre for Evidence Based Medicine Levels of Evidence Results Any dehydration due to diarrhoea (59 cases and pneumonia (42 cases were the most frequent diagnoses. Based on Ellis score, level I evidence supported the primary therapeutic intervention in 21%, level II in 73% and level III in 6% cases. Using the Oxford classification 16%, 8%, 1% and 75% therapeutic interventions corresponded to grades A, B, C, and D recommendations, respectively. Overall, according to Ellis score, 94% interventions were evidence based. However, out of the total, 75% interventions were based on expert opinion or basic sciences. Most children with mild to moderate dehydration (52 cases were inappropriately treated with slow intravenous fluids, and most children with non-complicated community acquired pneumonia (42 cases received intravenous antibiotics Conclusions Most interventions were inappropriate, despite the availability of effective therapy for several of them. Diarrhoeal dehydration and community acquired pneumonia were the most common diagnoses and were inappropriately managed. Existing effective interventions for dehydration and pneumonia need to be put into practice at referral hospitals of developing countries. For the remaining problems, there is the need to conduct appropriate clinical studies. Caution must be taken when

  18. Propensity Scores

    Science.gov (United States)

    Luellen, Jason K.; Shadish, William R.; Clark, M. H.

    2005-01-01

    Propensity score analysis is a relatively recent statistical innovation that is useful in the analysis of data from quasi-experiments. The goal of propensity score analysis is to balance two non-equivalent groups on observed covariates to get more accurate estimates of the effects of a treatment on which the two groups differ. This article…

  19. Calculation of cut-off values based on the Autoimmune Bullous Skin Disorder Intensity Score (ABSIS) and Pemphigus Disease Area Index (PDAI) pemphigus scoring systems for defining moderate, significant and extensive types of pemphigus.

    Science.gov (United States)

    Boulard, C; Duvert Lehembre, S; Picard-Dahan, C; Kern, J S; Zambruno, G; Feliciani, C; Marinovic, B; Vabres, P; Borradori, L; Prost-Squarcioni, C; Labeille, B; Richard, M A; Ingen-Housz-Oro, S; Houivet, E; Werth, V P; Murrell, D F; Hertl, M; Benichou, J; Joly, P

    2016-07-01

    Two pemphigus severity scores, Autoimmune Bullous Skin Disorder Intensity Score (ABSIS) and Pemphigus Disease Area Index (PDAI), have been proposed to provide an objective measure of disease activity. However, the use of these scores in clinical practice is limited by the absence of cut-off values that allow differentiation between moderate, significant and extensive types of pemphigus. To calculate cut-off values defining moderate, significant and extensive pemphigus based on the ABSIS and PDAI scores. In 31 dermatology departments in six countries, consecutive patients with newly diagnosed pemphigus were assessed for pemphigus severity, using ABSIS, PDAI, Physician's Global Assessment (PGA) and Dermatology Life Quality Index (DLQI) scores. Cut-off values defining moderate, significant and extensive subgroups were calculated based on the 25th and 75th percentiles of the ABSIS and PDAI scores. The median ABSIS, PDAI, PGA and DLQI scores of the three severity subgroups were compared in order to validate these subgroups. Ninety-six patients with pemphigus vulgaris (n = 77) or pemphigus foliaceus (n = 19) were included. The median PDAI activity and ABSIS total scores were 27·5 (range 3-84) and 34·8 points (range 0·5-90·5), respectively. The respective cut-off values corresponding to the first and third quartiles of the scores were 15 and 45 for the PDAI, and 17 and 53 for ABSIS. The moderate, significant and extensive subgroups were thus defined, and had distinguishing median ABSIS (P values of 15 and 45 for PDAI and 17 and 53 for ABSIS, to distinguish moderate, significant and extensive pemphigus forms. Identifying these pemphigus activity subgroups should help physicians to classify and manage patients with pemphigus. © 2016 British Association of Dermatologists.

  20. Developing a high-quality scoring function for membrane protein structures based on specific inter-residue interactions

    Science.gov (United States)

    Heim, Andrew J.; Li, Zhijun

    2012-03-01

    Membrane proteins are of particular biological and pharmaceutical importance, and computational modeling and structure prediction approaches play an important role in studies of membrane proteins. Developing an accurate model quality assessment program is of significance to the structure prediction of membrane proteins. Few such programs are proposed that can be applied to a broad range of membrane protein classes and perform with high accuracy. We developed a new model scoring function Interaction-based Quality assessment (IQ), based on the analysis of four types of inter-residue interactions within the transmembrane domains of helical membrane proteins. This function was tested using three high-quality model sets: all 206 models of GPCR Dock 2008, all 284 models of GPCR Dock 2010, and all 92 helical membrane protein models of the HOMEP set. For all three sets, the scoring function can select the native structures among all of the models with the success rates of 93, 85, and 100% respectively. For comparison, these three model sets were also adopted for a recently published model assessment program for membrane protein structures, ProQM, which gave the success rates of 85, 79, and 92% separately. These results suggested that IQ outperforms ProQM when only the transmembrane regions of the models are considered. This scoring function should be useful for the computational modeling of membrane proteins.

  1. Predicting 10-Year Risk of Fatal Cardiovascular Disease in Germany: An Update Based on the SCORE-Deutschland Risk Charts.

    Science.gov (United States)

    Rücker, Viktoria; Keil, Ulrich; Fitzgerald, Anthony P; Malzahn, Uwe; Prugger, Christof; Ertl, Georg; Heuschmann, Peter U; Neuhauser, Hannelore

    2016-01-01

    Estimation of absolute risk of cardiovascular disease (CVD), preferably with population-specific risk charts, has become a cornerstone of CVD primary prevention. Regular recalibration of risk charts may be necessary due to decreasing CVD rates and CVD risk factor levels. The SCORE risk charts for fatal CVD risk assessment were first calibrated for Germany with 1998 risk factor level data and 1999 mortality statistics. We present an update of these risk charts based on the SCORE methodology including estimates of relative risks from SCORE, risk factor levels from the German Health Interview and Examination Survey for Adults 2008-11 (DEGS1) and official mortality statistics from 2012. Competing risks methods were applied and estimates were independently validated. Updated risk charts were calculated based on cholesterol, smoking, systolic blood pressure risk factor levels, sex and 5-year age-groups. The absolute 10-year risk estimates of fatal CVD were lower according to the updated risk charts compared to the first calibration for Germany. In a nationwide sample of 3062 adults aged 40-65 years free of major CVD from DEGS1, the mean 10-year risk of fatal CVD estimated by the updated charts was lower by 29% and the estimated proportion of high risk people (10-year risk > = 5%) by 50% compared to the older risk charts. This recalibration shows a need for regular updates of risk charts according to changes in mortality and risk factor levels in order to sustain the identification of people with a high CVD risk.

  2. The Effect of Computer-Based Self-Access Learning on Weekly Vocabulary Test Scores

    Directory of Open Access Journals (Sweden)

    Jordan Dreyer

    2014-09-01

    Full Text Available This study sets out to clarify the effectiveness of using an online vocabulary study tool, Quizlet, in an urban high school language arts class. Previous similar studies have mostly dealt with English Language Learners in college settings (Chui, 2013, and were therefore not directed at the issue self-efficacy that is at the heart of the problem of urban high school students in America entering remedial writing programs (Rose, 1989. The study involves 95 students over the course of 14 weeks. Students were tested weekly and were asked to use the Quizlet program in their own free time. The result of this optional involvement was that many students did not participate in the treatment and therefore acted as an elective control group. The resultant data collected shows a strong correlation between the use of an online vocabulary review program and short-term vocabulary retention. The study also showed that students who paced themselves and spread out their study sessions outperformed those students who used the program only for last minute “cram sessions.” The implications of the study are that students who take advantage of tools outside of the classroom are able to out perform their peers. The results are also in line with the call to include technology in the Basic Writing classroom not simply as a tool, but as a “form of discourse” (Jonaitis, 2012. Weekly vocabulary tests, combined with the daily online activity as reported by Quizlet, show that: 1 utilizing the review software improved the scores of most students, 2 those students who used Quizlet to review more than a single time (i.e., several days before the test outperformed those who only used the product once, and 3 students who professed proficiency with the “notebook” system of vocabulary learning appeared not to need the treatment.

  3. Association of rumen fill score and energy status during the close-up dry period with conception at first artificial insemination in dairy cows.

    Science.gov (United States)

    Kawashima, Chiho; Karaki, Chihiro; Munakata, Megumi; Matsui, Motozumi; Shimizu, Takashi; Miyamoto, Akio; Kida, Katsuya

    2016-10-01

    Recent studies have shown significant associations between prepartum energy status and postpartum fertility in dairy cows; therefore, the assessment of energy status by blood metabolites and metabolic hormones and suitable improvement of management during the prepartum period may enhance reproductive performance. Rumen fill score (RFS) is associated with feed intake; however, it is unknown whether RFS is also related to blood parameters. Therefore, this study investigated the relationship between RFS and energy status during the prepartum period, and their associations with conception at first artificial insemination (AI) after parturition. In 42 multiparous Holstein cows, RFS assessment and blood sampling were carried out twice a week during 3 weeks of the peripartum period. Ovarian cycles until AI were evaluated by measuring milk progesterone levels. Before calving, positive correlations were observed between RFS and total cholesterol, and RFS did not change in pregnant cows at first AI after parturition, whereas in non-pregnant cows, RFS decreased gradually as the calving day approached. After calving, non-pregnant cows showed lower energy status compared with pregnant cows, and some non-pregnant cows showed anovulation and cessation of estrous cycle. In conclusion, RFS during the close-up dry period is related to real-time energy status, and is associated with postpartum energy status and conception at first AI in dairy cows. © 2016 Japanese Society of Animal Science. © 2016 Japanese Society of Animal Science.

  4. Energy-based and biomimetic robotics

    NARCIS (Netherlands)

    Folkertsma, Gerrit Adriaan

    2017-01-01

    All physical systems interact by exchanging power, or energy. This energy can be explicitly taken into account when designing robotic systems, in dynamic models of systems and controllers, leading to more insight in energy-related effects. In this thesis, a biomimetic cheetah robot is developed, by

  5. Tracking influence between naive Bayes models using score-based structure learning

    CSIR Research Space (South Africa)

    Ajoodha, R

    2017-11-01

    Full Text Available ] T. O. Binford, T. S. Levitt, and W. B. Mann, “Bayesian inference in model-based machine vision,” arXiv preprint arXiv:1304.2720, 2013. [7] R. Ajoodha, R. Klein, and B. Rosman, “Single-labelled music genre clas- sification using content-based features... these independent assertions into a DAG that encodes a joint probability distribution [3]. Bayesian networks span a range of applications including general diag- nostic systems [4]; event forecasting [5]; machine vision [6]; and even music classification [7...

  6. Pre-Service Teachers' Constructivist Teaching Scores Based on Their Learning Styles

    Science.gov (United States)

    Kablan, Zeynel; Kaya, Sibel

    2014-01-01

    This study examined the relationship between pre-service teachers' constructivist teaching and their learning styles based on Kolb's Experiential Learning Theory. The Learning Styles Inventory-3 was administered at the beginning of the semester to determine preferred learning style. The Constructivist Teaching Evaluation Form was filled out by…

  7. GARN: Sampling RNA 3D Structure Space with Game Theory and Knowledge-Based Scoring Strategies.

    Science.gov (United States)

    Boudard, Mélanie; Bernauer, Julie; Barth, Dominique; Cohen, Johanne; Denise, Alain

    2015-01-01

    Cellular processes involve large numbers of RNA molecules. The functions of these RNA molecules and their binding to molecular machines are highly dependent on their 3D structures. One of the key challenges in RNA structure prediction and modeling is predicting the spatial arrangement of the various structural elements of RNA. As RNA folding is generally hierarchical, methods involving coarse-grained models hold great promise for this purpose. We present here a novel coarse-grained method for sampling, based on game theory and knowledge-based potentials. This strategy, GARN (Game Algorithm for RNa sampling), is often much faster than previously described techniques and generates large sets of solutions closely resembling the native structure. GARN is thus a suitable starting point for the molecular modeling of large RNAs, particularly those with experimental constraints. GARN is available from: http://garn.lri.fr/.

  8. Spinal cord injury and Parkinson's disease: a population-based, propensity score-matched, longitudinal follow-up study.

    Science.gov (United States)

    Yeh, T-S; Huang, Y-P; Wang, H-I; Pan, S-L

    2016-12-01

    To investigate whether patients with spinal cord injury (SCI) are at an increased risk of developing Parkinson's disease (PD). A population-based, propensity score-matched, longitudinal follow-up cohort study. The study was conducted using the National Health Insurance (NHI) Research Database. A total of 10 125 patients with at least 2 ambulatory visits with a diagnosis of SCI in 2001 were enrolled in the SCI group. The non-SCI group comprised 10 125 propensity score-matched patients without SCI. The propensity scores were computed using a logistic regression model that included age, sex, comorbidities and socioeconomic status. The PD-free survival rates of the two groups were estimated using the Kaplan-Meier method. Stratified Cox proportional hazard regression was used to estimate the effect of SCI on subsequent occurrence of PD. During the 3-year follow-up period, 99 subjects in the SCI group and 59 in the non-SCI group developed PD. The hazard ratio of PD for the SCI group compared with the non-SCI group was 1.65 (95% confidence interval 1.16-2.33, P=0.0049). The PD-free survival rate for the SCI group was lower than that for the non-SCI group (P=0.0017). This study shows that SCI is associated with a subsequent increased risk of PD. Further studies are needed to elucidate the mechanism underlying this association.

  9. Polytrauma Defined by the New Berlin Definition: A Validation Test Based on Propensity-Score Matching Approach.

    Science.gov (United States)

    Rau, Cheng-Shyuan; Wu, Shao-Chun; Kuo, Pao-Jen; Chen, Yi-Chun; Chien, Peng-Chen; Hsieh, Hsiao-Yun; Hsieh, Ching-Hua

    2017-09-11

    Background: Polytrauma patients are expected to have a higher risk of mortality than that obtained by the summation of expected mortality owing to their individual injuries. This study was designed to investigate the outcome of patients with polytrauma, which was defined using the new Berlin definition, as cases with an Abbreviated Injury Scale (AIS) ≥ 3 for two or more different body regions and one or more additional variables from five physiologic parameters (hypotension [systolic blood pressure ≤ 90 mmHg], unconsciousness [Glasgow Coma Scale score ≤ 8], acidosis [base excess ≤ -6.0], coagulopathy [partial thromboplastin time ≥ 40 s or international normalized ratio ≥ 1.4], and age [≥70 years]). Methods: We retrieved detailed data on 369 polytrauma patients and 1260 non-polytrauma patients with an overall Injury Severity Score (ISS) ≥ 18 who were hospitalized between 1 January 2009 and 31 December 2015 for the treatment of all traumatic injuries, from the Trauma Registry System at a level I trauma center. Patients with burn injury or incomplete registered data were excluded. Categorical data were compared with two-sided Fisher exact or Pearson chi-square tests. The unpaired Student t -test and the Mann-Whitney U -test was used to analyze normally distributed continuous data and non-normally distributed data, respectively. Propensity-score matched cohort in a 1:1 ratio was allocated using the NCSS software with logistic regression to evaluate the effect of polytrauma on patient outcomes. Results: The polytrauma patients had a significantly higher ISS than non-polytrauma patients (median (interquartile range Q1-Q3), 29 (22-36) vs. 24 (20-25), respectively; p sex, age, co-morbidity, AIS ≥ 3, and Injury Severity Score (ISS), the polytrauma patients had a significantly higher mortality rate (OR 17.5, 95% CI 4.21-72.76; p definition of polytrauma is feasible and applicable for trauma patients.

  10. Evaluation of interobserver variability and diagnostic performance of developed MRI-based radiological scoring system for invasive placenta previa.

    Science.gov (United States)

    Ueno, Yoshiko; Maeda, Tetsuo; Tanaka, Utaru; Tanimura, Kenji; Kitajima, Kazuhiro; Suenaga, Yuko; Takahashi, Satoru; Yamada, Hideto; Sugimura, Kazuro

    2016-09-01

    To evaluate the interobserver variability and diagnostic performance of a developed magnetic resonance imaging (MRI)-based scoring system for invasive placenta previa. Prenatal MR images of 70 women were retrospectively evaluated, 18 of whom were diagnosed with invasive placenta. The six MR features (dark band on T2 -weighted images, intraplacental abnormal vascularity, placental bulge, heterogeneous placenta, myometrial thinning, and placental protrusion sign) were scored on 5-point Likert scale separately, and the cumulative radiological score (CRS) was defined as the sum of each score. Two more experienced radiologists (readers A and B) and two less experienced residents (readers C and D) calculated the CRS. Interobserver variability was assessed by measuring the intraclass correlation coefficient. Diagnostic performance was evaluated by means of receiver operating characteristic (ROC) analysis. Interobserver variability for CRS was excellent for the more experienced radiologists (0.85), and good for all readers (0.72) and the less experienced residents (0.66). The area under the ROC curve (Az) and accuracy (Acc) for CRS were significantly higher or equivalent to those of other MR features for all readers (Az and Acc for reader A; CRS, 0.92, 91.4%; intraplacental T2 dark band, 0.83, P = 0.009, 81.4%, P = 0.03; intraplacental abnormal vascularity, 0.9, P = 0.3, 90.0%, P = 1.00; placental bulge, 0.81, P = 0.0008, 80.0%, P = 0.02; heterogeneous placenta, 0.85, P = 0.11, 74.3%, P = 0.002; myometrial thinning, 0.84, P = 0.06, 60.0%, P placenta previa. J. Magn. Reson. Imaging 2016;44:573-583. © 2016 International Society for Magnetic Resonance in Medicine.

  11. Image-based modeling and scoring of Howell-Jolly Bodies in human erythrocytes.

    Science.gov (United States)

    Angay, Oguzhan; Friedrich, Mike; Pinnecker, Jürgen; Hintzsche, Henning; Stopper, Helga; Hempel, Klaus; Heinze, Katrin G

    2017-05-24

    The spleen selectively removes cells with intracellular inclusions, for example, detached nuclear fragments in circulating erythrocytes, called Howell-Jolly Bodies (HJBs). With absent or deficient splenic function HJBs appear in the peripheral blood and can be used as a simple and non-invasive risk-indicator for fulminant potentially life-threatening infection after spleenectomy. However, it is still under debate whether counting of the rare HJBs is a reliable measure of splenic function. Investigating HJBs in premature erythrocytes from patients during radioiodine therapy gives about 10 thousand times higher HJB counts than in blood smears. However, we show that there is still the risk of false-positive results by unspecific nuclear remnants in the prepared samples that do not originate from HJBs, but from cell debris residing above or below the cell. Therefore, we present a method to improve accuracy of image-based tests that can be performed even in non-specialized medical institutions. We show how to selectively label HJB-like clusters in human blood samples and how to only count those that are undoubtedly inside the cell. We found a "critical distance" d crit referring to a relative HJB-Cell distance that true HJBs do not exceed. To rule out false-positive counts we present a simple inside-outside-rule based on d crit -a robust threshold that can be easily assessed by combining conventional 2D imaging and straight-forward image analysis. Besides data based on fluorescence imaging, simulations of randomly distributed HJB-like objects on realistically modelled cell objects demonstrate the risk and impact of biased counting in conventional analysis. © 2017 International Society for Advancement of Cytometry. © 2017 International Society for Advancement of Cytometry.

  12. Validity and Agreement between the 28-Joint Disease Activity Score Based on C-Reactive Protein and Erythrocyte Sedimentation Rate in Patients with Rheumatoid Arthritis

    DEFF Research Database (Denmark)

    Nielung, Louise; Christensen, Robin; Danneskiold-Samsøe, Bente

    2015-01-01

    Objective. To validate the agreement between the 28-joint disease activity score based on erythrocyte sedimentation rate (DAS28-ESR) and the 28-joint disease activity score based on C-reactive protein (DAS28-CRP) in a group of Danish patients with rheumatoid arthritis (RA). Methods. Data from 109...

  13. An asymmetric graph recommendation algorithm based on user scores and interests

    Science.gov (United States)

    Zhang, Yi-Wen; Wang, Ran; Wang, Ting-Wei; He, Guang-Da; Hu, Jun

    2017-09-01

    The proposed algorithm uses the symmetry similarity calculation method based on the common project, which can not reflect the user’s interest very well and the recommendation accuracy is low. In order to improve the accuracy of recommendation, this paper proposes a graph recommendation algorithm which integrates user rating and interest. In order to reflect the interests of users, using the principle of diffusion of the substance user rating information asymmetry; Experiments show that the proposed algorithm for user rating and interest fusion improves the prediction accuracy.

  14. The relationship between observer-based toxicity scoring and patient assessed symptom severity after treatment for head and neck cancer. A correlative cross sectional study of the DAHANCA toxicity scoring system and the EORTC quality of life questionnaires

    International Nuclear Information System (INIS)

    Jensen, Kenneth; Bonde Jensen, Anders; Grau, Cai

    2006-01-01

    Background and purpose: Morbidity is an important issue in cancer research. The observer-based toxicity scoring system used by DAHANCA (the Danish head and neck cancer study group) has proved itself sensitive to differences in toxicity in a large randomised study, but like other toxicity scoring systems it has not been formally validated. Conversely, the EORTC quality of life questionnaire (QLQ) has been validated as a tool for collecting information about the consequences of disease and treatment on the well being of cancer patients. The purpose of this study was to examine the relationship between the two methods of side effect recording. Patients and methods: One hundred and sixteen recurrence free patients with laryngeal (n=44), pharyngeal (n=34) and oral cavity (n=38) cancer attending follow-up after radiotherapy (n=83) or surgery (n=33) completed EORTC C30, the core questionnaire concerning general symptoms and function and EORTC H and N35 the head and neck specific questionnaire. The attending physicians in the follow-up clinic evaluated and recorded DAHANCA toxicity scores on the same patients. Results: The DAHANCA toxicity scoring system and the EORTC QLQ correlated with several clinical endpoints. The conceptually similar endpoints of the two methods correlated significantly. The objective endpoints of the DAHANCA scoring system were only correlated with quality of life endpoints to a very low degree. The DAHANCA toxicity scores had a low sensitivity (0.48-0.74) in detecting equivalent subjective complaints from the questionnaires and the observer-based scoring system severely underestimated patient complaints. A specific patient group where the DAHANCA score had a higher tendency to fail could not be detected. Conclusion: The DAHANCA toxicity score is an effective instrument in assessing objective treatment induced toxicity in head and neck cancer patients but insensitive and non-specific with regard to patient assessed subjective endpoints. This

  15. Developing an international scoring system for a consensus-based social cognition measure: MSCEIT-managing emotions.

    Science.gov (United States)

    Hellemann, G S; Green, M F; Kern, R S; Sitarenios, G; Nuechterlein, K H

    2017-10-01

    Measures of social cognition are increasingly being applied to psychopathology, including studies of schizophrenia and other psychotic disorders. Tests of social cognition present unique challenges for international adaptations. The Mayer-Salovey-Caruso Emotional Intelligence Test, Managing Emotions Branch (MSCEIT-ME) is a commonly-used social cognition test that involves the evaluation of social scenarios presented in vignettes. This paper presents evaluations of translations of this test in six different languages based on representative samples from the relevant countries. The goal was to identify items from the MSCEIT-ME that show different response patterns across countries using indices of discrepancy and content validity criteria. An international version of the MSCEIT-ME scoring was developed that excludes items that showed undesirable properties across countries. We then confirmed that this new version had better performance (i.e. less discrepancy across regions) in international samples than the version based on the original norms. Additionally, it provides scores that are comparable to ratings based on local norms. This paper shows that it is possible to adapt complex social cognitive tasks so they can provide valid data across different cultural contexts.

  16. The relationship of newborn adiposity to fetal growth outcome based on birth weight or the modified neonatal growth assessment score

    Science.gov (United States)

    Lee, W; Riggs, T; Koo, W; Deter, RL; Yeo, L; Romero, R

    2013-01-01

    Objectives (1) Develop reference ranges of neonatal adiposity using air displacement plethysmography. (2) Use new reference ranges for neonatal adiposity to compare two different methods of evaluating neonatal nutritional status. Methods Three hundred and twenty-four normal neonates (35–41 weeks post-menstrual age) had body fat (%BF) and total fat mass (FM, g) measured using air displacement plethysmography shortly after delivery. Results were stratified for 92 of these neonates with corresponding fetal biometry using two methods for classifying nutritional status: (1) population-based weight percentiles; and (2) a modified neonatal growth assessment score (m3NGAS51). Results At the 50th percentile, &BF varied from 7.7% (35 weeks) to 11.8% (41 weeks), while the corresponding 50th percentiles for total FM were 186–436g. Among the subset of 92 neonates, no significant differences in adiposity were found between small for gestational age (SGA), appropriate for gestational age (AGA), and large for gestational age (LGA) groups using population-based weight standards. Classification of the same neonates using m3NGAS51 showed significant differences in mean %BF between corresponding groups. Conclusions Population-based weight criteria for neonatal nutritional status can lead to misclassification on the basis of adiposity. A neonatal growth assessment score, that considers the growth potential of several anatomic parameters, appears to more effectively classify under-and over-nourished newborns. PMID:22494346

  17. Friction Compensation in Energy-Based Bilateral Telemanipulation

    NARCIS (Netherlands)

    Franken, M.C.J.; Misra, Sarthak; Stramigioli, Stefano

    2010-01-01

    In bilateral telemanipulation algorithms based on time-domain passivity, internal friction in the devices poses an additional energy drain. Based on a model of the friction, the dissipated energy can be estimated and reclaimed inside the energy balance of the control algorithm. As long as the

  18. Sistem Scoring Conversion TOEFL Paper Based Test (PBT Politeknik Negeri Cilacap Menggunakan Metode User Centered Design

    Directory of Open Access Journals (Sweden)

    Cahya Vikasari

    2017-06-01

    Full Text Available Sistem komputer interaktif untuk dipakai oleh useruntuk mendukung pekerjannya. User merupakan object yang penting didalam pengembangan dan pembangun sistem. User adalah personal-personal yang terlibat langsung dalam pemakaian aplikasi. Konsep dari UCD adalah user sebagai pusat dari proses pengembangan sistem, dan tujuan/sifat-sifat, konteks dan lingkungan sistem semua didasarkan dari pengalaman pengguna Pembangunan sistem skoring test TOEFL paper based test (PBT di UPT bahasa politeknik negeri cilacapmenggunakan metode UCD. Dengan menggunakan metode UCD sistem dapat   mempermudah dan mempercepat pendaftaran oleh calon pendaftar dengan tampilan antarmuka yang user friendly , mempermudah proses pengelolaan data dan rekap data pendaftar, mempermudah pengkonversian skor TOEFL yang dilakukan secara otomatis, serta  meminimalisir terjadinya kesalahan, duplikasi data dan duplikasi kegiatan.

  19. Population-standardized genetic risk score: the SNP-based method of choice for inherited risk assessment of prostate cancer

    Directory of Open Access Journals (Sweden)

    Carly A Conran

    2016-01-01

    Full Text Available Several different approaches are available to clinicians for determining prostate cancer (PCa risk. The clinical validity of various PCa risk assessment methods utilizing single nucleotide polymorphisms (SNPs has been established; however, these SNP-based methods have not been compared. The objective of this study was to compare the three most commonly used SNP-based methods for PCa risk assessment. Participants were men (n = 1654 enrolled in a prospective study of PCa development. Genotypes of 59 PCa risk-associated SNPs were available in this cohort. Three methods of calculating SNP-based genetic risk scores (GRSs were used for the evaluation of individual disease risk such as risk allele count (GRS-RAC, weighted risk allele count (GRS-wRAC, and population-standardized genetic risk score (GRS-PS. Mean GRSs were calculated, and performances were compared using area under the receiver operating characteristic curve (AUC and positive predictive value (PPV. All SNP-based methods were found to be independently associated with PCa (all P 0.05 for comparisons between the three methods, and all three SNP-based methods had a significantly higher AUC than family history (all P < 0.05. Results from this study suggest that while the three most commonly used SNP-based methods performed similarly in discriminating PCa from non-PCa at the population level, GRS-PS is the method of choice for risk assessment at the individual level because its value (where 1.0 represents average population risk can be easily interpreted regardless of the number of risk-associated SNPs used in the calculation.

  20. Identifications of Putative PKA Substrates with Quantitative Phosphoproteomics and Primary-Sequence-Based Scoring.

    Science.gov (United States)

    Imamura, Haruna; Wagih, Omar; Niinae, Tomoya; Sugiyama, Naoyuki; Beltrao, Pedro; Ishihama, Yasushi

    2017-04-07

    Protein kinase A (PKA or cAMP-dependent protein kinase) is a serine/threonine kinase that plays essential roles in the regulation of proliferation, differentiation, and apoptosis. To better understand the functions of PKA, it is necessary to elucidate the direct interplay between PKA and their substrates in living human cells. To identify kinase target substrates in a high-throughput manner, we first quantified the change of phosphoproteome in the cells of which PKA activity was perturbed by drug stimulations. LC-MS/MS analyses identified 2755 and 3191 phosphopeptides from experiments with activator or inhibitor of PKA. To exclude potential indirect targets of PKA, we built a computational model to characterize the kinase sequence specificity toward the substrate target site based on known kinase-substrate relationships. Finally, by combining the sequence recognition model with the quantitative changes in phosphorylation measured in the two drug perturbation experiments, we identified 29 reliable candidates of PKA targeting residues in living cells including 8 previously known substrates. Moreover, 18 of these sites were confirmed to be site-specifically phosphorylated in vitro. Altogether this study proposed a confident list of PKA substrate candidates, expanding our knowledge of PKA signaling network.

  1. Demonstrating sustainable energy: A review-based model of sustainable energy demonstration projects

    NARCIS (Netherlands)

    Bossink, Bart

    2017-01-01

    This article develops a model of sustainable energy demonstration projects, based on a review of 229 scientific publications on demonstrations in renewable and sustainable energy. The model addresses the basic organizational characteristics (aim, cooperative form, and physical location) and learning

  2. Flow based vs. demand based energy-water modelling

    Science.gov (United States)

    Rozos, Evangelos; Nikolopoulos, Dionysis; Efstratiadis, Andreas; Koukouvinos, Antonios; Makropoulos, Christos

    2015-04-01

    The water flow in hydro-power generation systems is often used downstream to cover other type of demands like irrigation and water supply. However, the typical case is that the energy demand (operation of hydro-power plant) and the water demand do not coincide. Furthermore, the water inflow into a reservoir is a stochastic process. Things become more complicated if renewable resources (wind-turbines or photovoltaic panels) are included into the system. For this reason, the assessment and optimization of the operation of hydro-power systems are challenging tasks that require computer modelling. This modelling should not only simulate the water budget of the reservoirs and the energy production/consumption (pumped-storage), but should also take into account the constraints imposed by the natural or artificial water network using a flow routing algorithm. HYDRONOMEAS, for example, uses an elegant mathematical approach (digraph) to calculate the flow in a water network based on: the demands (input timeseries), the water availability (simulated) and the capacity of the transmission components (properties of channels, rivers, pipes, etc.). The input timeseries of demand should be estimated by another model and linked to the corresponding network nodes. A model that could be used to estimate these timeseries is UWOT. UWOT is a bottom up urban water cycle model that simulates the generation, aggregation and routing of water demand signals. In this study, we explore the potentials of UWOT in simulating the operation of complex hydrosystems that include energy generation. The evident advantage of this approach is the use of a single model instead of one for estimation of demands and another for the system simulation. An application of UWOT in a large scale system is attempted in mainland Greece in an area extending over 130×170 km². The challenges, the peculiarities and the advantages of this approach are examined and critically discussed.

  3. Score-based prediction of genomic islands in prokaryotic genomes using hidden Markov models

    Directory of Open Access Journals (Sweden)

    Surovcik Katharina

    2006-03-01

    Full Text Available Abstract Background Horizontal gene transfer (HGT is considered a strong evolutionary force shaping the content of microbial genomes in a substantial manner. It is the difference in speed enabling the rapid adaptation to changing environmental demands that distinguishes HGT from gene genesis, duplications or mutations. For a precise characterization, algorithms are needed that identify transfer events with high reliability. Frequently, the transferred pieces of DNA have a considerable length, comprise several genes and are called genomic islands (GIs or more specifically pathogenicity or symbiotic islands. Results We have implemented the program SIGI-HMM that predicts GIs and the putative donor of each individual alien gene. It is based on the analysis of codon usage (CU of each individual gene of a genome under study. CU of each gene is compared against a carefully selected set of CU tables representing microbial donors or highly expressed genes. Multiple tests are used to identify putatively alien genes, to predict putative donors and to mask putatively highly expressed genes. Thus, we determine the states and emission probabilities of an inhomogeneous hidden Markov model working on gene level. For the transition probabilities, we draw upon classical test theory with the intention of integrating a sensitivity controller in a consistent manner. SIGI-HMM was written in JAVA and is publicly available. It accepts as input any file created according to the EMBL-format. It generates output in the common GFF format readable for genome browsers. Benchmark tests showed that the output of SIGI-HMM is in agreement with known findings. Its predictions were both consistent with annotated GIs and with predictions generated by different methods. Conclusion SIGI-HMM is a sensitive tool for the identification of GIs in microbial genomes. It allows to interactively analyze genomes in detail and to generate or to test hypotheses about the origin of acquired

  4. A critical study of different Monte Carlo scoring methods of dose average linear-energy-transfer maps calculated in voxelized geometries irradiated with clinical proton beams.

    Science.gov (United States)

    Cortés-Giraldo, M A; Carabe, A

    2015-04-07

    We compare unrestricted dose average linear energy transfer (LET) maps calculated with three different Monte Carlo scoring methods in voxelized geometries irradiated with proton therapy beams with three different Monte Carlo scoring methods. Simulations were done with the Geant4 (Geometry ANd Tracking) toolkit. The first method corresponds to a step-by-step computation of LET which has been reported previously in the literature. We found that this scoring strategy is influenced by spurious high LET components, which relative contribution in the dose average LET calculations significantly increases as the voxel size becomes smaller. Dose average LET values calculated for primary protons in water with voxel size of 0.2 mm were a factor ~1.8 higher than those obtained with a size of 2.0 mm at the plateau region for a 160 MeV beam. Such high LET components are a consequence of proton steps in which the condensed-history algorithm determines an energy transfer to an electron of the material close to the maximum value, while the step length remains limited due to voxel boundary crossing. Two alternative methods were derived to overcome this problem. The second scores LET along the entire path described by each proton within the voxel. The third followed the same approach of the first method, but the LET was evaluated at each step from stopping power tables according to the proton kinetic energy value. We carried out microdosimetry calculations with the aim of deriving reference dose average LET values from microdosimetric quantities. Significant differences between the methods were reported either with pristine or spread-out Bragg peaks (SOBPs). The first method reported values systematically higher than the other two at depths proximal to SOBP by about 15% for a 5.9 cm wide SOBP and about 30% for a 11.0 cm one. At distal SOBP, the second method gave values about 15% lower than the others. Overall, we found that the third method gave the most consistent

  5. Impact on house staff evaluation scores when changing from a Dreyfus- to a Milestone-based evaluation model: one internal medicine residency program's findings.

    Science.gov (United States)

    Friedman, Karen A; Balwan, Sandy; Cacace, Frank; Katona, Kyle; Sunday, Suzanne; Chaudhry, Saima

    2014-01-01

    As graduate medical education (GME) moves into the Next Accreditation System (NAS), programs must take a critical look at their current models of evaluation and assess how well they align with reporting outcomes. Our objective was to assess the impact on house staff evaluation scores when transitioning from a Dreyfus-based model of evaluation to a Milestone-based model of evaluation. Milestones are a key component of the NAS. We analyzed all end of rotation evaluations of house staff completed by faculty for academic years 2010-2011 (pre-Dreyfus model) and 2011-2012 (post-Milestone model) in one large university-based internal medicine residency training program. Main measures included change in PGY-level average score; slope, range, and separation of average scores across all six Accreditation Council for Graduate Medical Education (ACGME) competencies. Transitioning from a Dreyfus-based model to a Milestone-based model resulted in a larger separation in the scores between our three post-graduate year classes, a steeper progression of scores in the PGY-1 class, a wider use of the 5-point scale on our global end of rotation evaluation form, and a downward shift in the PGY-1 scores and an upward shift in the PGY-3 scores. For faculty trained in both models of assessment, the Milestone-based model had greater discriminatory ability as evidenced by the larger separation in the scores for all the classes, in particular the PGY-1 class.

  6. DUAL-ENERGY X-RAY ABSORPTIOMETRY AND CALCULATED FRAX RISK SCORES MAY UNDERESTIMATE OSTEOPOROTIC FRACTURE RISK IN VITAMIN D-DEFICIENT VETERANS WITH HIV INFECTION.

    Science.gov (United States)

    Stephens, Kelly I; Rubinsztain, Leon; Payan, John; Rentsch, Chris; Rimland, David; Tangpricha, Vin

    2016-04-01

    We evaluated the utility of the World Health Organization (WHO) Fracture Risk Assessment Tool (FRAX) in assessing fracture risk in patients with human immunodeficiency virus (HIV) and vitamin D deficiency. This was a retrospective study of HIV-infected patients with co-existing vitamin D deficiency at the Atlanta Veterans Affairs Medical Center. Bone mineral density (BMD) was assessed by dual-energy X-ray absorptiometry (DEXA), and the 10-year fracture risk was calculated by the WHO FRAX algorithm. Two independent radiologists reviewed lateral chest radiographs for the presence of subclinical vertebral fractures. We identified 232 patients with HIV and vitamin D deficiency. Overall, 15.5% of patients met diagnostic criteria for osteoporosis on DEXA, and 58% had low BMD (T-score between -1 and -2.5). The median risk of any major osteoporotic and hip fracture by FRAX score was 1.45 and 0.10%, respectively. Subclinical vertebral fractures were detected in 46.6% of patients. Compared to those without fractures, those with fractures had similar prevalence of osteoporosis (15.3% versus 15.7%; P>.999), low BMD (53.2% versus 59.3%; P = .419), and similar FRAX hip scores (0.10% versus 0.10%; P = .412). While the FRAX major score was lower in the nonfracture group versus fracture group (1.30% versus 1.60%; P = .025), this was not clinically significant. We found a high prevalence of subclinical vertebral fractures among vitamin D-deficient HIV patients; however, DEXA and FRAX failed to predict those with fractures. Our results suggest that traditional screening tools for fragility fractures may not be applicable to this high-risk patient population.

  7. Use of dual energy X-ray absorptiometry, the trabecular bone score and quantitative computed tomography in the evaluation of chronic kidney disease-mineral and bone disorders.

    Science.gov (United States)

    Pocock, Nicholas

    2017-03-01

    In subjects with chronic kidney disease (CKD) who suffer a minimal trauma fracture, the problem is to differentiate between osteoporosis and the various forms of renal bone disease associated with CKD-mineral and bone disorder. This problem is exacerbated by the fact that renal osteodystrophy may coexist with osteoporosis. The World Health Organization's bone mineral density (BMD) criteria for osteopenia ( -2.5 < T-score < -1.0) and osteoporosis (a T-score ≤ -2.5) may be used in patients with CKD stages 1-3. In CKD stages 4-5, BMD by dual-energy X-ray absorptiometry (DXA) is less predictive and may underestimate fracture risk. The development of absolute fracture risk (AFR) algorithms, such as FRAX® and the Garvan absolute fracture risk calculator, to predict risk of fracture over a given time (usually 10 years) aims to incorporate non-BMD risk factors into the clinical assessment. FRAX® has been shown to be useful to assess fracture risk in CKD but may underestimate fracture risk in advanced CKD. The trabecular bone score is a measure of grey scale homogeneity obtained from spine DXA, which correlates to trabecular microarchitecture and is an independent risk factor for fracture. Recent data demonstrate the potential utility of the trabecular bone score adjustment of AFR through the FRAX® algorithm in subjects with CKD. Parameters of bone microarchitecture using peripheral quantitative computed tomography (pQCT) or high-resolution pQCT are also able to discriminate fracture status in subjects with CKD. However, there are at present no convincing data that the addition of pQCT or high-resolution pQCT parameters to DXA BMD improves fracture discrimination. More advanced estimates of bone strength derived from measurements of micro-architecture, by QCT-derived finite element analysis may be incorporated into AFR algorithms in the future. © 2017 Asian Pacific Society of Nephrology.

  8. Triboelectret-based aeroelastic flutter energy harvesters

    Science.gov (United States)

    Perez, Matthias; Boisseau, Sebastien; Geisler, Matthias; Despesse, Ghislain; Reboud, Jean Luc

    2016-11-01

    This paper highlights some experimental results on several electrostatic membranes tested in a wind tunnel between 0 and 20m.s-1 for airflow energy harvesting. The main idea is to use the aeroelastic behavior of thin flexible films to induce simultaneously the capacitance variations and the polarization required by the triboelectric/electrostatic conversion. This technology provides thin and flexible devices and avoids the issue of electrets discharge. Our prototypes (energy harvesting chain, we have used a wireless sensor with temperature and acceleration measures coupled to a low power transmission (Bluetooth Low Energy) with reception on a smartphone.

  9. Energy concepts for self-supplying communities based on local and renewable energy sources

    DEFF Research Database (Denmark)

    Petersen, Jens-Phillip

    2016-01-01

    settings. The current case study presents a community energy concept for the inner-city of Elmshorn. By estimating the energy demand, consideration of local energy saving potentials, and available energy potentials within the community, it was possible to develop several energy system variants...... that virtually allow a heating energy and electricity supply fully based on local, renewable energy resources. The most feasible and cost-efficient variant is the use of local food production waste in a CHP plant feeding a district heating grid. The overall aim is to show that a self-sufficient heat...

  10. Score Correlation

    Czech Academy of Sciences Publication Activity Database

    Fabián, Zdeněk

    2010-01-01

    Roč. 20, č. 6 (2010), s. 793-798 ISSN 1210-0552 R&D Projects: GA ČR GA205/09/1079 Institutional research plan: CEZ:AV0Z10300504 Keywords : score function * correlation * rank correlation coefficient * heavy tails Subject RIV: BB - Applied Statistics, Operational Research Impact factor: 0.511, year: 2010

  11. Energy Based Acoustic Measurement Senors, Phase II

    Data.gov (United States)

    National Aeronautics and Space Administration — This research focuses on fully developing energy density sensors that will yield a significant benefit both for measurements of interest to NASA, as well as for...

  12. Energy Based Acoustic Measurement Senors Project

    Data.gov (United States)

    National Aeronautics and Space Administration — This research focuses on fully developing energy density sensors that will yield a significant benefit both for measurements of interest to NASA, as well as for...

  13. LLE Score: A New Filter-Based Unsupervised Feature Selection Method Based on Nonlinear Manifold Embedding and Its Application to Image Recognition.

    Science.gov (United States)

    Chao Yao; Ya-Feng Liu; Bo Jiang; Jungong Han; Junwei Han

    2017-11-01

    The task of feature selection is to find the most representative features from the original high-dimensional data. Because of the absence of the information of class labels, selecting the appropriate features in unsupervised learning scenarios is much harder than that in supervised scenarios. In this paper, we investigate the potential of locally linear embedding (LLE), which is a popular manifold learning method, in feature selection task. It is straightforward to apply the idea of LLE to the graph-preserving feature selection framework. However, we find that this straightforward application suffers from some problems. For example, it fails when the elements in the feature are all equal; it does not enjoy the property of scaling invariance and cannot capture the change of the graph efficiently. To solve these problems, we propose a new filter-based feature selection method based on LLE in this paper, which is named as LLE score. The proposed criterion measures the difference between the local structure of each feature and that of the original data. Our experiments of classification task on two face image data sets, an object image data set, and a handwriting digits data set show that LLE score outperforms state-of-the-art methods, including data variance, Laplacian score, and sparsity score.

  14. Smart Home Energy Management Based on Zigbee

    OpenAIRE

    E.Mallikarjuna

    2015-01-01

    Today organizations use IEEE 802.15&Zigbee to effectively deliver solutions for a variety of areas including consumer electronic device control, energy management and efficiency home and commercial building automation as well as industrial plant management. The smart home energy network has gained widespread attentions due to its flexible integrati- ion into everyday life. This next generation green home system transparently unifies various home appliances smart sensors &wireless communicati...

  15. Development of Image Overlay and Knowledge Transfer Module Technologies Aimed at Enhancing Feasibility and External Validation of Magnetic Resonance Imaging-based Scoring Systems.

    Science.gov (United States)

    Jaremko, Jacob L; Pitts, Meaghan; Maksymowych, Walter P; Lambert, Robert G

    2016-01-01

    Semiquantitative arthritis scoring assesses disease burden by scoring presence/extent of features such as bone marrow lesion (BML) or effusion in multiple anatomic regions at a joint. An image overlay clarifying region borders may enhance feasibility and reliability of these scoring systems. To be scalable for use in large clinical trials, systematic computer-based user training is desirable. We developed an overlay and user training module for magnetic resonance imaging (MRI)-based scoring of hip osteoarthritis (OA). We designed a semitransparent 2-dimensional image overlay applied to individual MRI slices to facilitate hip OA scoring [HIMRISS (Hip Inflammation MRI Scoring System)], initially using freeware and then in a customized HTML Web browser environment. We developed a systematic knowledge translation package including instructional presentation, fully scored expert consensus cases, and video tutorials for training in the use of these scoring systems with the overlays. Three musculoskeletal radiologists who had not used this scoring system before each performed a scoring exercise with no overlay, then repeated this with overlays after completing the training module. Based on postexercise interviews and a reader survey, we identified and corrected problems in the module. The entire training process was then repeated using 3 new readers. Overlays were considered useful, particularly when integrated into a Web browser. The knowledge translation module was considered conceptually valuable, but as initially implemented was too lengthy and not sufficiently interactive. Semitransparent image overlays and standardized knowledge translation modules for reader training show promise to facilitate reader calibration using MRI-based scoring systems. Based on our experience, knowledge translation modules should emphasize close feedback evaluating performance and reader time efficiency.

  16. Energy Sharing Framework for Microgrid-Powered Cellular Base Stations

    KAUST Repository

    Farooq, Muhammad Junaid

    2017-02-07

    Cellular base stations (BSs) are increasingly becoming equipped with renewable energy generators to reduce operational expenditures and carbon footprint of wireless communications. Moreover, advancements in the traditional electricity grid allow two-way power flow and metering that enable the integration of distributed renewable energy generators at BS sites into a microgrid. In this paper, we develop an optimized energy management framework for microgrid-connected cellular BSs that are equipped with renewable energy generators and finite battery storage to minimize energy cost. The BSs share excess renewable energy with others to reduce the dependency on the conventional electricity grid. Three cases are investigated where the renewable energy generation is unknown, perfectly known, and partially known ahead of time. For the partially known case where only the statistics of renewable energy generation are available, stochastic programming is used to achieve a conservative solution. Results show the time varying energy management behaviour of the BSs and the effect of energy sharing between them.

  17. A new, preoperative, MRI-based scoring system for diagnosing malignant axillary lymph nodes in women evaluated for breast cancer

    Energy Technology Data Exchange (ETDEWEB)

    He, Ni, E-mail: 61684754@qq.com [Department of Medical Imaging and Interventional Radiology, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou 510060 (China); Xie, Chuanmiao, E-mail: xiechm@sysucc.org.cn [Department of Medical Imaging and Interventional Radiology, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou 510060 (China); Wei, Weidong, E-mail: weiwd@sysucc.org.cn [Department of Breast, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou 510060 (China); Pan, Changchuan, E-mail: 1253719670@qq.com [Department of Medical Imaging and Interventional Radiology, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou 510060 (China); Wang, Wenyan, E-mail: 7344362@qq.com [College of Electronic Engineering, Guangxi Normal University, Guilin 541004 (China); Lv, Ning, E-mail: 409109980@qq.com [Department of Breast, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou 510060 (China); Wu, Peihong, E-mail: mit@caca.sina.net [Department of Medical Imaging and Interventional Radiology, State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Guangzhou 510060 (China)

    2012-10-15

    Objective: Malignant axillary lymph nodes are an important predictor for breast cancer recurrence, but invasive dissection or biopsy is required for the diagnosis. We determined whether and how malignant nodes could be diagnosed preoperatively with magnetic resonance (MR) imaging. Materials and methods: We obtained MR images of all women evaluated for breast cancer at the Sun Yat-Sen University Cancer Center in 2010 and correlated the image characteristics of each axillary node with the pathologic diagnosis of the same node. Results: We analyzed 251 nodes (117 benign; 134 malignant) from 136 women (mean age, 44 years; range, 20–67). Mean diameter of the nodes was 18 mm (range, 5–58 mm). With pathologic diagnosis as the reference standard, MRI-based interpretations were 66.4% sensitive, 94% specific, and 79% accurate. Diameter, pathologic type, apparent diffusion coefficient value (ADC, b = 500 and 800), time-intensity curve (TIC) type of breast tumors correlated with node metastasis; ADC value (b = 500 and 800), TIC type, early enhancement rate, long-axis, short-axis, shape, margin and the location of nodes correlated with node metastasis (P < 0.001 for all). Tumor immunohistochemistry results for estrogen receptors, progesterone receptors, c-erbB-2, vascular endothelial growth factor, and Ki67 were not. An MRI-based lymph node scoring system based on these correlations had a specificity of 91%, a sensitivity of 93%, and an area under the ROC curve of 0.95 (P < 0.001). Conclusion: Metastatic axillary lymph nodes can be accurately diagnosed by MR in women with early breast cancer preoperatively and non-invasively. The scoring system appears to be superior to current methods.

  18. A Rapid Method to Score Stream Reaches Based on the Overall Performance of Their Main Ecological Functions

    Science.gov (United States)

    Rowe, David K.; Parkyn, Stephanie; Quinn, John; Collier, Kevin; Hatton, Chris; Joy, Michael K.; Maxted, John; Moore, Stephen

    2009-06-01

    A method was developed to score the ecological condition of first- to third-order stream reaches in the Auckland region of New Zealand based on the performance of their key ecological functions. Such a method is required by consultants and resource managers to quantify the reduction in ecological condition of a modified stream reach relative to its unmodified state. This is a fundamental precursor for the determination of fair environmental compensation for achieving no-net-loss in overall stream ecological value. Field testing and subsequent use of the method indicated that it provides a useful measure of ecological condition related to the performance of stream ecological functions. It is relatively simple to apply compared to a full ecological study, is quick to use, and allows identification of the degree of impairment of each of the key ecological functions. The scoring system was designed so that future improvements in the measurement of stream functions can be incorporated into it. Although the methodology was specifically designed for Auckland streams, the principles can be readily adapted to other regions and stream types.

  19. An inflammation based score can optimize the selection of patients with advanced cancer considered for early phase clinical trials.

    Directory of Open Access Journals (Sweden)

    David J Pinato

    Full Text Available Adequate organ function and good performance status (PS are common eligibility criteria for phase I trials. As inflammation is pathogenic and prognostic in cancer we investigated the prognostic performance of inflammation-based indices including the neutrophil (NLR and platelet to lymphocyte ratio (PLR.We studied inflammatory scores in 118 unselected referrals. NLR normalization was recalculated at disease reassessment. Each variable was assessed for progression-free (PFS and overall survival (OS on uni- and multivariate analyses and tested for 90 days survival (90DS prediction using receiving operator curves (ROC.We included 118 patients with median OS 4.4 months, 23% PS>1. LDH≥450 and NLR≥5 were multivariate predictors of OS (p<0.001. NLR normalization predicted for longer OS (p<0.001 and PFS (p<0.05. PS and NLR ranked as most accurate predictors of both 90DS with area under ROC values of 0.66 and 0.64, and OS with c-score of 0.69 and 0.60. The combination of NLR+PS increased prognostic accuracy to 0.72. The NLR was externally validated in a cohort of 126 subjects.We identified the NLR as a validated and objective index to improve patient selection for experimental therapies, with its normalization following treatment predicting for a survival benefit of 7 months. Prospective validation of the NLR is warranted.

  20. A Distributed Classification Procedure for Automatic Sleep Stage Scoring Based on Instantaneous Electroencephalogram Phase and Envelope Features.

    Science.gov (United States)

    Karimzadeh, Foroozan; Boostani, Reza; Seraj, Esmaeil; Sameni, Reza

    2018-02-01

    During the past decades, a great body of research has been devoted to automatic sleep stage scoring using the electroencephalogram (EEG). However, the results are not yet satisfactory to be used as a standard procedure in clinical studies. In this study, using recent developments in robust EEG phase extraction, a novel set of EEG-based features containing the Shannon entropy of the instantaneous analytical form envelope and frequencies of the EEG are proposed for sleep stage scoring. The proposed feature set is used to construct a distributed decision-tree classifier, with binary K-nearest neighbor classifiers at each decision node. The decision-tree structure is designed by brute-force-search over various combinations of the proposed feature set. The performance of the proposed approach is evaluated over two available sleep EEG data sets acquired using single-channel EEG. The first set contains 20 healthy young subjects containing equal number of male and female, and the second one has been acquired from 140 adult subjects from both genders, with sleep disorder. The performance of the proposed method is tested versus state-of-the-art classifiers. The results demonstrate that the proposed method, resulted in overall accuracies of 88.97% and 83.17% over the two data sets, respectively. Considering the high performance and simplicity of the proposed scheme, the method can be of interest for clinical sleep disorder studies.

  1. Predicting siRNA efficacy based on multiple selective siRNA representations and their combination at score level

    Science.gov (United States)

    He, Fei; Han, Ye; Gong, Jianting; Song, Jiazhi; Wang, Han; Li, Yanwen

    2017-03-01

    Small interfering RNAs (siRNAs) may induce to targeted gene knockdown, and the gene silencing effectiveness relies on the efficacy of the siRNA. Therefore, the task of this paper is to construct an effective siRNA prediction method. In our work, we try to describe siRNA from both quantitative and qualitative aspects. For quantitative analyses, we form four groups of effective features, including nucleotide frequencies, thermodynamic stability profile, thermodynamic of siRNA-mRNA interaction, and mRNA related features, as a new mixed representation, in which thermodynamic of siRNA-mRNA interaction is introduced to siRNA efficacy prediction for the first time to our best knowledge. And then an F-score based feature selection is employed to investigate the contribution of each feature and remove the weak relevant features. Meanwhile, we encode the siRNA sequence and existed empirical design rules as a qualitative siRNA representation. These two kinds of siRNA representations are combined to predict siRNA efficacy by supported Vector Regression (SVR) at score level. The experimental results indicate that our method may select the features with powerful discriminative ability and make the two kinds of siRNA representations work at full capacity. The prediction results also demonstrate that our method can outperform other popular siRNA efficacy prediction algorithms.

  2. Internationally comparable diagnosis-specific survival probabilities for calculation of the ICD-10-based Injury Severity Score.

    Science.gov (United States)

    Gedeborg, Rolf; Warner, Margaret; Chen, Li-Hui; Gulliver, Pauline; Cryer, Colin; Robitaille, Yvonne; Bauer, Robert; Ubeda, Clotilde; Lauritsen, Jens; Harrison, James; Henley, Geoff; Langley, John

    2014-02-01

    The International Statistical Classification of Diseases, 10th Revision (ICD-10)-based Injury Severity Score (ICISS) performs well but requires diagnosis-specific survival probabilities (DSPs), which are empirically derived, for its calculation. The objective was to examine if DSPs based on data pooled from several countries could increase accuracy, precision, utility, and international comparability of DSPs and ICISS. Australia, Argentina, Austria, Canada, Denmark, New Zealand, and Sweden provided ICD-10-coded injury hospital discharge data, including in-hospital mortality status. Data from the seven countries were pooled using four different methods to create an international collaborative effort ICISS (ICE-ICISS). The ability of the ICISS to predict mortality using the country-specific DSPs and the pooled DSPs was estimated and compared. The pooled DSPs were based on a total of 3,966,550 observations of injury diagnoses from the seven countries. The proportion of injury diagnoses having at least 100 discharges to calculate the DSP varied from 12% to 48% in the country-specific data set and was 66% in the pooled data set. When compared with using a country's own DSPs for ICISS calculation, the pooled DSPs resulted in somewhat reduced discrimination in predicting mortality (difference in c statistic varied from 0.006 to 0.04). Calibration was generally good when the predicted mortality risk was less than 20%. When Danish and Swedish data were used, ICISS was combined with age and sex in a logistic regression model to predict in-hospital mortality. Including age and sex improved both discrimination and calibration substantially, and the differences from using country-specific or pooled DSPs were minor. Pooling data from seven countries generated empirically derived DSPs. These pooled DSPs facilitate international comparisons and enables the use of ICISS in all settings where ICD-10 hospital discharge diagnoses are available. The modest reduction in performance of

  3. Population-based study of ABCD2 score, carotid stenosis, and atrial fibrillation for early stroke prediction after transient ischemic attack: the North Dublin TIA study.

    LENUS (Irish Health Repository)

    Sheehan, Orla C

    2010-05-01

    Transient ischemic attack (TIA) etiologic data and the ABCD(2) score may improve early stroke risk prediction, but studies are required in population-based cohorts. We investigated the external validity of the ABCD(2) score, carotid stenosis, and atrial fibrillation for prediction of early recurrent stroke after TIA.

  4. A scoring system based on artificial neural network for predicting 10-year survival in stage II A colon cancer patients after radical surgery

    Science.gov (United States)

    Jiang, Wu; Lu, Shi-Xun; Lu, Zhen-Hai; Li, Pei-Xing; Yun, Jing-Ping; Zhang, Rong-Xin; Pan, Zhi-Zhong; Wan, De-Sen

    2016-01-01

    Nearly 20% patients with stage II A colon cancer will develop recurrent disease post-operatively. The present study aims to develop a scoring system based on Artificial Neural Network (ANN) model for predicting 10-year survival outcome. The clinical and molecular data of 117 stage II A colon cancer patients from Sun Yat-sen University Cancer Center were used for training set and test set; poor pathological grading (score 49), reduced expression of TGFBR2 (score 33), over-expression of TGF-β (score 45), MAPK (score 32), pin1 (score 100), β-catenin in tumor tissue (score 50) and reduced expression of TGF-β in normal mucosa (score 22) were selected as the prognostic risk predictors. According to the developed scoring system, the patients were divided into 3 subgroups, which were supposed with higher, moderate and lower risk levels. As a result, for the 3 subgroups, the 10-year overall survival (OS) rates were 16.7%, 62.9% and 100% (P < 0.001); and the 10-year disease free survival (DFS) rates were 16.7%, 61.8% and 98.8% (P < 0.001) respectively. It showed that this scoring system for stage II A colon cancer could help to predict long-term survival and screen out high-risk individuals for more vigorous treatment. PMID:27008710

  5. Scoring based on item response theory did not alter the measurement ability of EORTC QLQ-C30 scales

    NARCIS (Netherlands)

    Petersen, Morten Aa; Groenvold, Mogens; Aaronson, Neil; Brenne, Elisabeth; Fayers, Peter; Nielsen, Julie Damgaard; Sprangers, Mirjam; Bjorner, Jakob B.

    2005-01-01

    Background and Objectives: Most health-related quality-of-life questionnaires include multi-item scales. Scale scores are usually estimated as simple sums of the item scores. However, scoring procedures utilizing more information from the items might improve measurement abilities, and thereby reduce

  6. Ship Integration of Energy Scavenging Technology for Sea Base Operations

    Science.gov (United States)

    2009-07-01

    Warfare Center Carderock Division Naval Research Enterprise Intern Program Sea Base Energy Scavenger Phillipines Raw Power Availability 0.10 1.00...Solar Radiation Energy Wave Height Energy Phillipines Raw Power Potential 0.10 1.00 10.00 100.00 1000.00 10000.00 100000.00 Jan Feb Mar Apr May Jun

  7. An agent-based model for energy service companies

    International Nuclear Information System (INIS)

    Robinson, Marguerite; Varga, Liz; Allen, Peter

    2015-01-01

    Highlights: • An agent-based model for household energy efficiency upgrades is considered. • Energy service companies provide an alternative to traditional utility providers. • Household self-financing is a limiting factor to widespread efficiency upgrading. • Longer term service contracts can lead to reduced household energy costs. • Future energy price increases enable service providers to retain their customer base. - Abstract: The residential housing sector is a major consumer of energy accounting for approximately one third of carbon emissions in the United Kingdom. Achieving a sustainable, low-carbon infrastructure necessitates a reduced and more efficient use of domestic energy supplies. Energy service companies offer an alternative to traditional providers, which supply a single utility product to satisfy the unconstrained demand of end users, and have been identified as a potentially important actor in sustainable future economies. An agent-based model is developed to examine the potential of energy service companies to contribute to the large scale upgrading of household energy efficiency, which would ultimately lead to a more sustainable and secure energy infrastructure. The migration of households towards energy service companies is described by an attractiveness array, through which potential customers can evaluate the future benefits, in terms of household energy costs, of changing provider. It is shown that self-financing is a limiting factor to the widespread upgrading of residential energy efficiency. Greater reductions in household energy costs could be achieved by committing to longer term contracts, allowing upgrade costs to be distributed over greater time intervals. A steadily increasing cost of future energy usage lends an element of stability to the market, with energy service companies displaying the ability to retain customers on contract expiration. The model highlights how a greater focus on the provision of energy services, as

  8. Less increase of CT-based calcium scores of the coronary arteries. Effect three years after breast-conserving radiotherapy using breath-hold

    International Nuclear Information System (INIS)

    Mast, M.E.; Kempen-Harteveld, M.L. van; Petoukhova, A.L.; Heijenbrok, M.W.; Scholten, A.N.; Wolterbeek, R.; Schreur, J.H.M.; Struikmans, H.

    2016-01-01

    The aim of this prospective longitudinal study was to compare coronary artery calcium (CAC) scores determined before the start of whole breast irradiation with those determined 3 years afterwards. Changes in CAC scores were analysed in 99 breast cancer patients. Three groups were compared: patients receiving left- and right-sided radiotherapy, and those receiving left-sided radiotherapy with breath-hold. We analysed overall CAC scores and left anterior descending (LAD) and right coronary artery (RCA) CAC scores. Between the three groups, changes of the value of the LAD minus the RCA CAC scores of each individual patient were also compared. Three years after breath-hold-based whole breast irradiation, a less pronounced increase of CAC scores was noted. Furthermore, LAD minus RCA scores in patients treated for left-sided breast cancer without breath-hold were higher when compared to LAD minus RCA scores of patients with right-sided breast cancers and those with left-sided breast cancer treated with breath-hold. Breath-hold in breast-conserving radiotherapy leads to a less pronounced increase of CT-based CAC scores. Therefore, breath-hold probably prevents the development of radiation-induced coronary artery disease. However, the sample size of this study is limited and the follow-up period relatively short. (orig.) [de

  9. LCA of biomass-based energy systems

    DEFF Research Database (Denmark)

    Tonini, Davide; Astrup, Thomas Fruergaard

    2012-01-01

    environmental impacts in the 2050 scenarios, in particular upstream impacts from land use changes (LUCs), fertilizer use and NOx emissions from the transport sector were critical. Land occupation (including LUC effects) caused by energy crop production increased to a range of 600–2100 × 106 m2/PJ depending...... on the amounts and types of energy crops introduced. Use of fossil diesel in the transport sector appeared to be environmentally preferable over biodiesel for acidification, aquatic eutrophication and land occupation. For global warming, biodiesel production via Fischer–Tropsch was comparable with fossil diesel....

  10. Evaluating energy efficiency for airlines: An application of Virtual Frontier Dynamic Slacks Based Measure

    International Nuclear Information System (INIS)

    Cui, Qiang; Li, Ye; Yu, Chen-lu; Wei, Yi-Ming

    2016-01-01

    The fast growing Revenue Passenger Kilometers and the relatively lagged energy supply of aviation industry impels the airlines to improve energy efficiency. In this paper, we focus on evaluating and analyzing influencing factors for airline energy efficiency. Number of employees and aviation kerosene are chosen as the inputs. Revenue Ton Kilometers, Revenue Passenger Kilometers and total business income are the outputs. Capital stock is selected as the dynamic factor. A new model, Virtual Frontier Dynamic Slacks Based Measure, is proposed to calculate the energy efficiencies of 21 airlines from 2008 to 2012. We verify two important properties to manifest the advantages of the new model. Then a regression is run to analyze the influencing factors of airline energy efficiency. The main findings are: 1. The overall energy efficiency of Malaysia Airlines is the highest during 2008–2012.2. Per capita Gross Domestic Product, the average service age of fleet size and average haul distance have significant impacts on the efficiency score. 3. The difference between full-service carriers and low-cost carriers has no significant effects on airline energy efficiency. - Highlights: • A Virtual Frontier Dynamic Slacks Based Measure is developed. • 21 airlines' energy efficiencies are evaluated. • Malaysia Airlines has the highest overall energy efficiency. • Three explanatory variables have significant impacts.

  11. An overview of skin scores used for quantifying hand eczema: a critical update according to the criteria of evidence-based medicine.

    Science.gov (United States)

    Weistenhöfer, W; Baumeister, T; Drexler, H; Kütting, B

    2010-02-01

    The present review gives an overview of the enormous variety of skin scores used for assessing severity in patients suffering from hand eczema. In order to evaluate the validity and practical relevance of different scoring systems according to the criteria of evidence-based medicine, in May 2009 we performed a systematic search of the literature using PubMed and the Cochrane Library. A total of 69 articles reporting on 45 different methods for quantifying hand eczema were identified. The panel of methods varied from pure subjective categories to more or less quantitative scoring systems. Furthermore, by focusing on skin scores used in clinical trials in which the results led to the licensing of a systemic or topical drug for treatment of hand eczema, a panel of different scoring systems was identified. In addition to morphological pattern, some scoring systems included subjective complaints, which might cause an individual bias by overestimation of self-reports. Inter- and intraobserver reliability was rarely reported except for three scores. Among these validated scores interobserver reliability was reported for three scores, but only one of the three included reliability within observers (repeatability). Advantages and disadvantages of the different scoring systems are critically discussed. Depending on different indications and particular settings (e.g. occupational screening vs. clinical examinations, evaluating progress of treatment in everyday clinical practice or for research purposes) scoring systems have to fulfil diverging demands. We draw the conclusion that a standardized diagnostic procedure for assessing the severity of hand eczema would facilitate the comparability of outcome of clinical trials. However, scoring systems used for occupational screening have to fulfil different demands compared with scoring systems used for licensing of drugs. This striking difference might be explained by the skin condition, which is generally supposed to be much

  12. Investigating the relationship between outsourcing and performance based on Balanced Score Card (Case study Ilam Post Office

    Directory of Open Access Journals (Sweden)

    Karam Khalili

    2014-01-01

    Full Text Available Today, outsourcing can play a crucial role in satisfying customers and meeting their requirements; therefore post office has devoted some of its services and supports for improving the performance, reducing the expenses, and modifying the organizational structure. The main purpose of this study is to investigate the relationship between outsourcing and the performance based on Balanced Score Card (Ilam Post Office in 2013. This study was a descriptive-survey and it utilized a questionnaire for collecting data. SPSS software was used to analyze the data. Useable data were gathered from 18 managers and assistants. T-student and correlation method was used for data analysis. The results showed that there are a strong and positive relationship between outsourcing post office activities and performance management in three aspects of financial, customers and internal processes; however there was a positive and weak relationship between the aspect of learning and outsourcing.

  13. A tri-gram based feature extraction technique using linear probabilities of position specific scoring matrix for protein fold recognition.

    Science.gov (United States)

    Paliwal, Kuldip K; Sharma, Alok; Lyons, James; Dehzangi, Abdollah

    2014-03-01

    In biological sciences, the deciphering of a three dimensional structure of a protein sequence is considered to be an important and challenging task. The identification of protein folds from primary protein sequences is an intermediate step in discovering the three dimensional structure of a protein. This can be done by utilizing feature extraction technique to accurately extract all the relevant information followed by employing a suitable classifier to label an unknown protein. In the past, several feature extraction techniques have been developed but with limited recognition accuracy only. In this study, we have developed a feature extraction technique based on tri-grams computed directly from Position Specific Scoring Matrices. The effectiveness of the feature extraction technique has been shown on two benchmark datasets. The proposed technique exhibits up to 4.4% improvement in protein fold recognition accuracy compared to the state-of-the-art feature extraction techniques.

  14. The Patient- And Nutrition-Derived Outcome Risk Assessment Score (PANDORA: Development of a Simple Predictive Risk Score for 30-Day In-Hospital Mortality Based on Demographics, Clinical Observation, and Nutrition.

    Directory of Open Access Journals (Sweden)

    Michael Hiesmayr

    Full Text Available To develop a simple scoring system to predict 30 day in-hospital mortality of in-patients excluding those from intensive care units based on easily obtainable demographic, disease and nutrition related patient data.Score development with general estimation equation methodology and model selection by P-value thresholding based on a cross-sectional sample of 52 risk indicators with 123 item classes collected with questionnaires and stored in an multilingual online database.Worldwide prospective cross-sectional cohort with 30 day in-hospital mortality from the nutritionDay 2006-2009 and an external validation sample from 2012.We included 43894 patients from 2480 units in 32 countries. 1631(3.72% patients died within 30 days in hospital. The Patient- And Nutrition-Derived Outcome Risk Assessment (PANDORA score predicts 30-day hospital mortality based on 7 indicators with 31 item classes on a scale from 0 to 75 points. The indicators are age (0 to 17 points, nutrient intake on nutritionDay (0 to 12 points, mobility (0 to 11 points, fluid status (0 to 10 points, BMI (0 to 9 points, cancer (9 points and main patient group (0 to 7 points. An appropriate model fit has been achieved. The area under the receiver operating characteristic curve for mortality prediction was 0.82 in the development sample and 0.79 in the external validation sample.The PANDORA score is a simple, robust scoring system for a general population of hospitalised patients to be used for risk stratification and benchmarking.

  15. Energy monitoring based on human activity in the workplace

    Science.gov (United States)

    Mustafa, N. H.; Husain, M. N.; Abd Aziz, M. Z. A.; Othman, M. A.; Malek, F.

    2014-04-01

    Human behavior is the most important factor in order to manage energy usage. Nowadays, smart house technology offers a better quality of life by introducing automated appliance control and assistive services. However, human behaviors will contribute to the efficiency of the system. This paper will focus on monitoring efficiency based on duration time in office hours around 8am until 5pm which depend on human behavior atb the workplace. Then, the correlation coefficient method is used to show the relation between energy consumption and energy saving based on the total hours of time energy spent. In future, the percentages of energy monitoring system usage will be increase to manage energy in efficient ways based on human behaviours. This scenario will lead to the positive impact in order to achieve the energy saving in the building and support the green environment.

  16. Energy monitoring system based on human activity in the workplace

    Science.gov (United States)

    Mustafa, Nur Hanim; Husain, Mohd Nor; Aziz, Mohamad Zoinol Abidin Abdul; Othman, Mohd Azlishah; Malek, Fareq

    2015-05-01

    Human behaviors always related to day routine activities in a smart house directly give the significant factor to manage energy usage in human life. An Addition that, the factor will contribute to the best efficiency of the system. This paper will focus on the monitoring efficiency based on duration time in office hours around 8am until 5pm which depend on human behavior at working place. Besides that, the correlation coefficient method is used to show the relation between energy consumption and energy saving based on the total hours of time energy spent. In future, the percentages of energy monitoring system usage will be increase to manage energy saving based on human behaviors. This scenario will help to see the human activity in the workplace in order to get the energy saving and support world green environment.

  17. Energy-based modelling and control of wind energy conversion system with DFIG

    Science.gov (United States)

    Song, H. H.; Qu, Y. B.

    2011-02-01

    Focusing on wind energy conversion system (WECS) at the doubly-fed induction generator (DFIG) control level, a novel control approach was proposed to optimise wind energy capture from consideration of physical nature and energy relationship. According to energy flowing, the WECS was divided into several multi-ports energy conversion subsystems, and the structure matrices of the subsystems were elaborately designed. Based on this, port-controlled Hamiltonian models of the subsystems were obtained, and energy-based control using the models was provided to realise the machine side and the grid side control objectives of the WECS. The approach was applied on a 2 MW WECS, and compared with classical proportional-integral (PI) controller using MATLAB/Simulink. The results show that the energy-based control not only fully satisfies both side control requirements, but also has more robust control performances for a turbulent wind than the PI control.

  18. Availability-based payback method for energy efficiency measures

    OpenAIRE

    Kasprowicz, Robert; Schulz, Carolin

    2015-01-01

    Energy-efficient technologies can lead to high energy and monetary savings in numerous industries. However, a lot of potential identified in industries remains untapped due to comparatively short requested payback periods. Usually, companies base the calculation of their payback period on initial investment costs in conjunction with annual monetary energy savings. Energy efficiency measures, however, often lead to synergy effects which are not taken into account. Against this background, we i...

  19. Association Between Low IQ Scores and Early Mortality in Men and Women: Evidence From a Population-Based Cohort Study.

    Science.gov (United States)

    Maenner, Matthew J; Greenberg, Jan S; Mailick, Marsha R

    2015-05-01

    Lower (versus higher) IQ scores have been shown to increase the risk of early mortality, however, the underlying mechanisms are poorly understood and previous studies underrepresent individuals with intellectual disability (ID) and women. This study followed one third of all senior-year students (approximately aged 17) attending public high school in Wisconsin, U.S. in 1957 (n  =  10,317) until 2011. Men and women with the lowest IQ test scores (i.e., IQ scores ≤ 85) had increased rates of mortality compared to people with the highest IQ test scores, particularly for cardiovascular disease. Importantly, when educational attainment was held constant, people with lower IQ test scores did not have higher mortality by age 70 than people with higher IQ test scores. Individuals with lower IQ test scores likely experience multiple disadvantages throughout life that contribute to increased risk of early mortality.

  20. Promoting Behavior-Based Energy Efficiency in Military Housing

    Energy Technology Data Exchange (ETDEWEB)

    AH McMakin; EL Malone; RE Lundgren

    1999-09-07

    The U.S. Department of Energy's Federal Energy Management Program (FEMP) helps agencies reduce the cost of doing business through energy efficiency, water conservation, and the use of solar and other renewable energy. As a large energy user, the U.S. military has been one of the government sectors of focus. Several military installations have shown substantial energy savings in past years. Most of these efficiency projects, however, have focused primarily on physical upgrades, technologies, and purchasing habits. Furthermost projects have focused on administrative and operational areas of energy use. Military residential housing, in particular, has received little formal attention for energy efficiency involving behaviors of the residents themselves. Behavior-based change is a challenging, but potentially fruitful area for energy conservation programs. However, behavioral change involves links with values, social networks and organizations, and new ways of thinking about living patterns. This handbook attempts to fill a gap by offering guidance for promoting such efforts.

  1. Energy balance of individual cows can be estimated in real-time on-farm using only frequent liveweight measures even in the absence of body condition score

    DEFF Research Database (Denmark)

    Thorup, Vivi Mørkøre; Højsgaard, Søren; Weisbjerg, Martin Riis

    2013-01-01

    Existing methods for estimating individual dairy cow energy balance typically either need information on feed intake, that is, the traditional input–output method, or frequent measurements of BW and body condition score (BCS), that is, the body reserve changes method (EBbody). The EBbody method...... during each milking and real-time smoothed using asymmetric double-exponential weighting and corrected for the weight of milk produced, gutfill and the growing conceptus. BCS assessed visually with 2-week intervals was also smoothed. EBbody was calculated from BW changes only, and in conjunction with BCS...... to be developed for breeds and parities. These standard body protein change functions allow EBbody to be estimated from frequent BW measurements alone, that is, in the absence of BCS measurements. Differences in EBbody levels before and after changes in concentrate intake were calculated to test the real...

  2. Shorter sleep duration is associated with higher energy intake and an increase in BMI z-score in young children predisposed to overweight

    DEFF Research Database (Denmark)

    Rangan, A.; Zheng, M.; Olsen, N. J.

    2018-01-01

    in a group of young obesity-predisposed children, and to assess whether intakes of energy or macronutrients mediate this relationship. Methods: Participants included 368 Danish children aged 2–6 years from the Healthy Start Study, a 1.3 year randomised controlled intervention trial. Sleep habits were......Background: Inadequate sleep has been shown to be a contributor to obesity in both children and adults. Less evidence is available for toddlers and among those with higher obesity risk. The objective of this study was to examine the relationship between sleep patterns and body weight development...... measured using a 7-day sleep diary. Multivariate linear regression with adjustment for confounders was used to assess the association of sleep duration and sleep variability with 1.3 year changes (Δ) in body mass index (BMI) z-score from baseline to follow-up. Results: The average nighttime sleep duration...

  3. Smart and Green Energy (SAGE) for Base Camps Final Report

    Energy Technology Data Exchange (ETDEWEB)

    Engels, Matthias; Boyd, Paul A.; Koehler, Theresa M.; Goel, Supriya; Sisk, Daniel R.; Hatley, Darrel D.; Mendon, Vrushali V.; Hail, John C.

    2014-02-11

    The U.S. Army Logistics Innovation Agency’s (LIA’s) Smart and Green Energy (SAGE) for Base Camps project was to investigate how base camps’ fuel consumption can be reduced by 30% to 60% using commercial off-the-shelf (COTS) technologies for power generation, renewables, and energy efficient building systems. Field tests and calibrated energy models successfully demonstrated that the fuel reductions are achievable.

  4. Assessment of Energy Efficient and Model Based Control

    Science.gov (United States)

    2017-06-15

    ARL-TR-8042 ● JUNE 2017 US Army Research Laboratory Assessment of Energy -Efficient and Model- Based Control by Craig Lennon...originator. ARL-TR-8042 ● JUNE 2017 US Army Research Laboratory Assessment of Energy -Efficient and Model- Based Control by Craig...

  5. Assessment of signature handwriting evidence via score-based likelihood ratio based on comparative measurement of relevant dynamic features.

    Science.gov (United States)

    Chen, Xiao-Hong; Champod, Christophe; Yang, Xu; Shi, Shao-Pei; Luo, Yi-Wen; Wang, Nan; Wang, Ya-Chen; Lu, Qi-Meng

    2018-01-01

    This paper extends on previous research on the extraction and statistical analysis on relevant dynamic features (width, grayscale and radian combined with writing sequence information) in forensic handwriting examinations. In this paper, a larger signature database was gathered, including genuine signatures, freehand imitation signatures, random forgeries and tracing imitation signatures, which are often encountered in casework. After applying Principle Component Analysis (PCA) of the variables describing the proximity between specimens, a two-dimensional kernel density estimation was used to describe the variability of within-genuine comparisons and genuine-forgery comparisons. We show that the overlap between the within-genuine comparisons and the genuine-forgery comparisons depends on the imitated writer and on the forger as well. Then, in order to simulate casework conditions, cases were simulated by random sampling based on the collected signature dataset. Three-dimensional normal density estimation was used to estimate the numerator and denominator probability distribution used to compute a likelihood ratio (LR). The comparisons between the performance of the systems in SigComp2011 (based on static features) and the method presented in this paper (based on relevant dynamic features) showed that relevant dynamic features are better than static features in terms of accuracy, false acceptance rate, false rejection rate and calibration of likelihood ratios. Copyright © 2017 Elsevier B.V. All rights reserved.

  6. An Energy Integrated Dispatching Strategy of Multi- energy Based on Energy Internet

    Science.gov (United States)

    Jin, Weixia; Han, Jun

    2018-01-01

    Energy internet is a new way of energy use. Energy internet achieves energy efficiency and low cost by scheduling a variety of different forms of energy. Particle Swarm Optimization (PSO) is an advanced algorithm with few parameters, high computational precision and fast convergence speed. By improving the parameters ω, c1 and c2, PSO can improve the convergence speed and calculation accuracy. The objective of optimizing model is lowest cost of fuel, which can meet the load of electricity, heat and cold after all the renewable energy is received. Due to the different energy structure and price in different regions, the optimization strategy needs to be determined according to the algorithm and model.

  7. Effect of Coexisting Pelvic Floor Disorders on Fecal Incontinence Quality of Life Scores: A Prospective, Survey-Based Study.

    Science.gov (United States)

    Bordeianou, Liliana; Hicks, Caitlin W; Olariu, Adriana; Savitt, Lieba; Pulliam, Samantha J; Weinstein, Milena; Rockwood, Todd; Sylla, Patricia; Kuo, James; Wakamatsu, May

    2015-11-01

    The association between an objective measure of fecal incontinence severity and patient-reported quality of life is poorly understood. The purpose of this study was to evaluate patients with various degrees of fecal incontinence to determine whether their quality of life as measured by the Fecal Incontinence Quality of Life Scale is affected by coexisting pelvic floor disorders. This was a prospective, survey-based study. The study was conducted at a tertiary pelvic floor disorders center. Included patients were all of those presenting between January 2007 and March 2014. Survey data were analyzed to determine the association between Fecal Incontinence Severity Index and Fecal Incontinence Quality of Life Scale, as well as scores from the Constipation Severity Instrument, Pelvic Floor Impact Questionnaire, Pelvic Organ Distress Inventory, and Urinary Distress Inventory. A total of 585 patients reported fecal incontinence ranging from none (n = 191) to mild/moderate (n = 159) to severe (n = 235). As expected, patients with severe fecal incontinence have worse scores on all fecal incontinence quality-of-life subscales (lifestyle, coping/behavior, depression/self-perception, and embarrassment) and worse colorectal/anal symptoms than those with mild/moderate or no fecal incontinence (p Pelvic organ prolapse and constipation symptoms were similar between groups (p ≥ 0.61). After correcting for baseline differences in patient comorbidities and bladder/urinary symptoms, a significant association persisted between Fecal Incontinence Severity Index and all of the subscales of the fecal incontinence quality-of-life instrument (p measuring both fecal and urinary incontinence. This underscores the importance of quantifying the presence or absence of coexistent urinary leakage in studies where a drop in fecal incontinence quality of life is considered a primary end point.

  8. Model Property Based Material Balance and Energy Conservation Analysis for Process Industry Energy Transfer Systems

    Directory of Open Access Journals (Sweden)

    Fumin Ma

    2015-10-01

    Full Text Available Conventional historical data based material and energy balance analyses are static and isolated computations. Such methods cannot embody the cross-coupling effect of energy flow, material flow and information flow in the process industry; furthermore, they cannot easily realize the effective evaluation and comparison of different energy transfer processes by alternating the model module. In this paper, a novel method for material balance and energy conservation analysis of process industry energy transfer system is developed based on model property. Firstly, a reconfigurable energy transfer process model, which is independent of energy types and energy-consuming equipment, is presented from the viewpoint of the cross-coupling effect of energy flow, material flow and information flow. Thereafter the material balance determination is proposed based on both a dynamic incidence matrix and dynamic balance quantity. Moreover, the model-weighted conservation determination theorem is proved, and the energy efficiency analysis method is also discussed. Results confirmed the efficacy of the proposed methods, confirming its potential for use by process industry in energy efficiency analyses.

  9. Measurement of energy efficiency based on economic foundations

    International Nuclear Information System (INIS)

    Filippini, Massimo; Hunt, Lester C.

    2015-01-01

    Energy efficiency policy is seen as a very important activity by almost all policy makers. In practical energy policy analysis, the typical indicator used as a proxy for energy efficiency is energy intensity. However, this simple indicator is not necessarily an accurate measure given changes in energy intensity are a function of changes in several factors as well as ‘true’ energy efficiency; hence, it is difficult to make conclusions for energy policy based upon simple energy intensity measures. Related to this, some published academic papers over the last few years have attempted to use empirical methods to measure the efficient use of energy based on the economic theory of production. However, these studies do not generally provide a systematic discussion of the theoretical basis nor the possible parametric empirical approaches that are available for estimating the level of energy efficiency. The objective of this paper, therefore, is to sketch out and explain from an economic perspective the theoretical framework as well as the empirical methods for measuring the level of energy efficiency. Additionally, in the second part of the paper, some of the empirical studies that have attempted to measure energy efficiency using such an economics approach are summarized and discussed.

  10. An Asset-Based Approach to Tribal Community Energy Planning

    Energy Technology Data Exchange (ETDEWEB)

    Gutierrez, Rachael A. [Pratt Inst., Brooklyn, NY (United States). City and Regional Planning; Martino, Anthony [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Materials, Devices, and Energy Technologies; Begay, Sandra K. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States). Materials, Devices, and Energy Technologies

    2016-08-01

    Community energy planning is a vital component of successful energy resource development and project implementation. Planning can help tribes develop a shared vision and strategies to accomplish their energy goals. This paper explores the benefits of an asset-based approach to tribal community energy planning. While a framework for community energy planning and federal funding already exists, some areas of difficulty in the planning cycle have been identified. This paper focuses on developing a planning framework that offsets those challenges. The asset-based framework described here takes inventory of a tribe’s capital assets, such as: land capital, human capital, financial capital, and political capital. Such an analysis evaluates how being rich in a specific type of capital can offer a tribe unique advantages in implementing their energy vision. Finally, a tribal case study demonstrates the practical application of an asset-based framework.

  11. Problems with the sickness impact profile: a theoretically based analysis and a proposal for a new method of implementation and scoring.

    Science.gov (United States)

    Pollard, B; Johnston, M

    2001-03-01

    The Sickness Impact Profile (SIP) is one of the most widely used health status measures, but there are problems with the measure that lead to inconsistent and illogical scores. There are many desirable features to the SIP development methodology in that it is based on a good range of items and the item weightings are valuable. The current method of scoring the SIP is the use of a summated total and was selected based on limited empirical evidence. However, in this paper we argue that there are problems with the SIP because the current empirically derived method of scoring is incompatible with both the underlying theoretical scaling framework (Thurstone scaling) and the nature of the items in the SIP. In addition, the items do not have properties consistent with the scaling methodology. We suggest that it is crucial to take both a theoretical and empirical approach to selecting a scoring method. To examine problems associated with the SIP we explored the underlying scaling methodology and identified the types of items in the SIP. A new method of scoring is proposed that is consistent with the items and scaling in the SIP, namely using the maximum individual weighting from the items that were checked as a category score. This new method of scoring resolves many of the previously observed problems in the SIP. The new method of scoring also presented the opportunity for a new implementation of the SIP that reduces the number of items that most respondents, especially those with severe limitations, would be asked. Without taking a theoretical approach to scoring we suggest that subsequent, empirically based, scale amendments are unlikely to solve the problems. It is proposed that this new method of scoring justifies a thorough empirical investigation.

  12. Goal scoring analysis based on team level in National Hockey League in the season 2006/2007

    OpenAIRE

    Garbe, Niels

    2013-01-01

    The purpose of this thesis is to determine how top ranked teams score differntly from other teams. In ice hockey the aim is to score more goals than the other team in order to win hockey games. The thesis examines the differnces in goal scoring on a team level. Therefor the goals of the 2006/2007 season of National Hockey League were collected and categoriezed by predetermined and approved variables. The teams were combined into three groups: Top- , middle- and bottom ranked...

  13. Energy Data Base: corporate author entries

    International Nuclear Information System (INIS)

    Hendricks, P.L.

    1982-08-01

    Corporate author entries provide a means for consistent citing of the names of organizations in bibliographic records in the data bases of the DOE Technical Information Center. These entries serve as guides for users of the DOE/RECON computerized data bases who want to locate information originating in particular organizations

  14. Sea wave energy based in nanotechnology

    Energy Technology Data Exchange (ETDEWEB)

    Duque, Carlos

    2010-09-15

    Application on which it turns east document is the recovery of the energy of the sea waves turning it into electricity by means of the combination of nano-piezoelectric and condensing, the system would be seen like a compound floating fabric of million piezoelectric crystals that turn the oscillating movement of the sea into micro-electrical signals that they are added and they left by means cables to the surface where electronics devices classified to the load of condensers, from the electricity is confined and later is invested and synchronize itself with the great national mains.

  15. The Healthy Weights Initiative: a community-based obesity reduction program with positive impact on depressed mood scores

    Directory of Open Access Journals (Sweden)

    Lemstra ME

    2016-05-01

    Full Text Available Mark Edgar Lemstra,1 Marla Rochelle Rogers2 1Department of Psychiatry, 2Department of Physical Medicine and Rehabilitation, College of Medicine, University of Saskatchewan, Saskatoon, SK, Canada Objectives: The risk for many chronic diseases increases with obesity. In addition to these, the risk for depression also increases. Exercise interventions for weight loss among those who are not overweight or obese have shown a moderate effect on depression, but few studies have looked at those with obesity. The objectives of this study were to determine 1 the prevalence of depressed mood in obese participants as determined by the Beck Depression Inventory II at baseline and follow-up; 2 the change in depressed mood between those who completed the program and those who did not; and 3 the differences between those whose depressed mood was alleviated after the program and those who continued to have depressed mood. Methods: Depressed mood scores were calculated at baseline and follow-up for those who completed the program and for those who quit. Among those who completed the program, chi-squares were used to determine the differences between those who no longer had depressed mood and those who still had depressed mood at the end of the program, and regression analysis was used to determine the independent risk factors for still having depressed mood at program completion. Results: Depressed mood prevalence decreased from 45.7% to 11.7% (P<0.000 from baseline to follow-up among those who completed the program and increased from 44.8% to 55.6% (P<0.000 among those who quit. After logistic regression, a score of <40 in general health increased the risk of still having depressed mood upon program completion (odds ratio [OR] 3.39; 95% CI 1.18–9.72; P=0.023. Conclusion: Treating depressed mood among obese adults through a community-based, weight-loss program based on evidence may be an adjunct to medical treatment. More research is needed. Keywords: obesity

  16. Effect of diagnosis and treatment of clinical endometritis based on vaginal discharge score grading system in postpartum Holstein cows.

    Science.gov (United States)

    Okawa, Hiroaki; Fujikura, Atsushi; Wijayagunawardane, Missaka M P; Vos, Peter L A M; Taniguchi, Masayasu; Takagi, Mitsuhiro

    2017-09-12

    In this study, the prevalence, effectiveness of diagnosis, and treatment based on vaginal discharge score (VDS) of clinical endometritis in cattle were evaluated. To detect clinical endometritis and classify its severity, vaginoscopy was performed during 21 to 60 days postpartum in 164 Holstein cows consisting of 229 lactations. Groups were defined using the 4-point VDS scale. Study groups included the following: non-endometritis (VDS=0; no/clear mucus; NEM group; n=168); mild endometritis, no treatment (VDS=1; mucus containing flecks of white/off-white pus; NTR group; n=30); and severe endometritis, treated with PGF2α (VDS≥2; discharge containing discharge containing >50% pus, and fluid or uterine horn asymmetry; TEM group; n=31). Cows treated with PGF2α that did not recover (VDS≥1, n=5) received intrauterine procaine penicillin and streptomycin. Prevalence of clinical endometritis (VDS≥1) was 26.6%. The NTR group required significantly more artificial inseminations per pregnancy than NEM and TEM groups (2.8 ± 1.8 vs 2.0 ± 1.3, 1.9 ± 0.8, PDiagnosis and treatment of clinical endometritis based on a VDS grading system may improve dairy herd reproductive performance.

  17. MetaPhOrs: orthology and paralogy predictions from multiple phylogenetic evidence using a consistency-based confidence score.

    Science.gov (United States)

    Pryszcz, Leszek P; Huerta-Cepas, Jaime; Gabaldón, Toni

    2011-03-01

    Reliable prediction of orthology is central to comparative genomics. Approaches based on phylogenetic analyses closely resemble the original definition of orthology and paralogy and are known to be highly accurate. However, the large computational cost associated to these analyses is a limiting factor that often prevents its use at genomic scales. Recently, several projects have addressed the reconstruction of large collections of high-quality phylogenetic trees from which orthology and paralogy relationships can be inferred. This provides us with the opportunity to infer the evolutionary relationships of genes from multiple, independent, phylogenetic trees. Using such strategy, we combine phylogenetic information derived from different databases, to predict orthology and paralogy relationships for 4.1 million proteins in 829 fully sequenced genomes. We show that the number of independent sources from which a prediction is made, as well as the level of consistency across predictions, can be used as reliable confidence scores. A webserver has been developed to easily access these data (http://orthology.phylomedb.org), which provides users with a global repository of phylogeny-based orthology and paralogy predictions.

  18. Development of a model based scoring system for diagnosis of canine disseminated intravascular coagulation with independent assessment of sensitivity and specificity

    DEFF Research Database (Denmark)

    Wiinberg, Bo; Jensen, Asger Lundorff; Johansson, Per Ingemar

    2010-01-01

    coagulation tests for the diagnosis of DIC in dogs. To develop the scoring system, 100 dogs consecutively admitted to an intensive care unit (ICU) with diseases predisposing for DIC were enrolled prospectively (group A). The validation involved 50 dogs consecutively diagnosed with diseases predisposing......A template for a scoring system for disseminated intravascular coagulation (DIC) in humans has been proposed by the International Society on Thrombosis and Haemostasis (ISTH). The objective of this study was to develop and validate a similar objective scoring system based on generally available...... of the model was sustained by prospective evaluation in group B (sensitivity 83.3%, specificity 77.3%). Based on commonly used, plasma-based coagulation assays, it was possible to design an objective diagnostic scoring system for canine DIC with a high sensitivity and specificity....

  19. A study of the effect of a visual arts-based program on the scores of Jefferson Scale for Physician Empathy.

    Science.gov (United States)

    Yang, Kuang-Tao; Yang, Jen-Hung

    2013-10-25

    The effect of visual arts interventions on development of empathy has not been quantitatively investigated. A study was conducted on the effect of a visual arts-based program on the scores of the Jefferson Scale for Physician Empathy (JSPE). A total of 110 clerks (n = 92) and first-year postgraduate residents (PGY1s) (n = 18) participating in the program were recruited into this study. The 4-hr program covered the subjects of learning to interpret paintings, interpreting paintings relating to medicine, illness and human suffering, the related-topics of humanitarianism and the other humanities fields and values and meaning. The JSPE was completed at the beginning (pretest) and the end (posttest) of the program. There was no significant difference between the pretest and posttest JSPE scores. The average of the scores for the pretest was lower in the subgroup of PGY1s than the subgroup of clerks (p = 0.0358). An increased but not significantly mean posttest JESPE score was noted for the subgroup of PGY1s. Neither the females nor the males had higher posttest JSPE scores than the pretest scores. Although using a structured visual arts-based program as an intervention may be useful to enhance medical students' empathy, our results failed to show a positive effect on the JSPE Scores for a group of clerks and PGY1s. This suggests that further experimental studies are needed if quantitative evaluation of the effectiveness of visual-arts based programs on empathy is to be investigated.

  20. Recent Progress on PZT Based Piezoelectric Energy Harvesting Technologies

    Directory of Open Access Journals (Sweden)

    Min-Gyu Kang

    2016-02-01

    Full Text Available Energy harvesting is the most effective way to respond to the energy shortage and to produce sustainable power sources from the surrounding environment. The energy harvesting technology enables scavenging electrical energy from wasted energy sources, which always exist everywhere, such as in heat, fluids, vibrations, etc. In particular, piezoelectric energy harvesting, which uses a direct energy conversion from vibrations and mechanical deformation to the electrical energy, is a promising technique to supply power sources in unattended electronic devices, wireless sensor nodes, micro-electronic devices, etc., since it has higher energy conversion efficiency and a simple structure. Up to now, various technologies, such as advanced materials, micro- and macro-mechanics, and electric circuit design, have been investigated and emerged to improve performance and conversion efficiency of the piezoelectric energy harvesters. In this paper, we focus on recent progress of piezoelectric energy harvesting technologies based on PbZrxTi1-xO3 (PZT materials, which have the most outstanding piezoelectric properties. The advanced piezoelectric energy harvesting technologies included materials, fabrications, unique designs, and properties are introduced to understand current technical levels and suggest the future directions of piezoelectric energy harvesting.

  1. Energy-analysis of the total nuclear energy cycle based on light water reactors

    International Nuclear Information System (INIS)

    Kistemaker, J.

    1975-01-01

    The energy economy of the total nuclear energy cycle is investigated. Attention is paid to the importance of fossil fuel saving by using nuclear energy. The energy analysis is based on the construction and operation of power plants with an electric output of 1000MWe. Light water moderated reactors with a 2.7 - 3.2% enriched uranium core are considered. Additionally, the whole fuel cycle including ore winning and refining, enrichment and fuel element manufacturing and reprocessing has been taken into account. Neither radioactive waste storage problems nor safety problems related to the nuclear energy cycle and safeguarding have been dealt with, as exhaustive treatments can be found elswhere

  2. Optimal ''image-based'' weighting for energy-resolved CT

    International Nuclear Information System (INIS)

    Schmidt, Taly Gilat

    2009-01-01

    This paper investigates a method of reconstructing images from energy-resolved CT data with negligible beam-hardening artifacts and improved contrast-to-nosie ratio (CNR) compared to conventional energy-weighting methods. Conceptually, the investigated method first reconstructs separate images from each energy bin. The final image is a linear combination of the energy-bin images, with the weights chosen to maximize the CNR in the final image. The optimal weight of a particular energy-bin image is derived to be proportional to the contrast-to-noise-variance ratio in that image. The investigated weighting method is referred to as ''image-based'' weighting, although, as will be described, the weights can be calculated and the energy-bin data combined prior to reconstruction. The performance of optimal image-based energy weighting with respect to CNR and beam-hardening artifacts was investigated through simulations and compared to that of energy integrating, photon counting, and previously studied optimal ''projection-based'' energy weighting. Two acquisitions were simulated: dedicated breast CT and a conventional thorax scan. The energy-resolving detector was simulated with five energy bins. Four methods of estimating the optimal weights were investigated, including task-specific and task-independent methods and methods that require a single reconstruction versus multiple reconstructions. Results demonstrated that optimal image-based weighting improved the CNR compared to energy-integrating weighting by factors of 1.15-1.6 depending on the task. Compared to photon-counting weighting, the CNR improvement ranged from 1.0 to 1.3. The CNR improvement factors were comparable to those of projection-based optimal energy weighting. The beam-hardening cupping artifact increased from 5.2% for energy-integrating weighting to 12.8% for optimal projection-based weighting, while optimal image-based weighting reduced the cupping to 0.6%. Overall, optimal image-based energy weighting

  3. Management of a power system based on renewable energy

    Directory of Open Access Journals (Sweden)

    Ronay Karoly

    2012-06-01

    Full Text Available This article main purpose is to highlight the main advantage of the hardware and software implementation for an energy management system based on renewable energy sources. By using implemented and dedicated hardware and software the evolution of energy production and consumption can be monitored. The advantages of such system are highlighted by the results obtained from experimental simulations. An experimental model for the power system based on renewable energy sources was implemented, where the actual status of the system in different situations when the equipments change their own statuses can be shown.

  4. Optimal selection among different domestic energy consumption patterns based on energy and exergy analysis

    International Nuclear Information System (INIS)

    Lu, S.; Wu, J.Y.

    2010-01-01

    In China market, people have many choices for air conditioning of their apartments, including heat-pump systems or gas-fired boilers for heating and air conditioners for cooling. Domestic hot water is usually provided by domestic water heaters making use of electricity or natural gas, which are known for their great energy costs. These systems consume much energy and increase the total cost of required domestic energy. A novel system combining heat pump with water heater is proposed in this paper, and it is named domestic energy system. The system can realize the provision of space heating, cooling and domestic hot water throughout a year. Based on different types of air conditioners, space heating equipments and water heaters, domestic energy consumption patterns are concluded to be eight categories. This study describes and compares the eight domestic energy consumption patterns by economic analysis and prime energy analysis method. Results show that the domestic energy system can provide good economy and save energy significantly. Furthermore, exergy analysis method is employed to compare the exergy efficiencies of different energy consumption systems. The results show that the domestic energy system has the highest energy conversion efficiency and can make remarkable contribution to social energy saving.

  5. Clinical evaluation of premature infants with patent ductus arteriosus: a scoring system with echocardiogram, acid-base, and blood gas correlations.

    Science.gov (United States)

    Yeh, T F; Raval, D; Luken, J; Thalji, A; Lilien, L; Pildes, R S

    1981-09-01

    To provide a clinical assessment of cardiovascular dysfunction (CVD) in premature infants with patent ductus arteriosus (PDA), a scoring system (CVD score) was devised and correlated with blood gases, acid-base balance, and echocardiogram. The score consisted of evaluation of heart rate, quality of peripheral arterial pulsation, degree of precordial pulsation, duration of murmur and cardiothoracic ratio on chest roentgenogram. There were 116 observations made on 55 premature infants who had PDA and required medical or surgical treatment. Significant positive correlations were seen for CVD score with left atrial (LA)/aortic (Ao) ratio (p less than 0.001), left ventricular and diastolic dimension (DD) (p less than 0.001), blood pH (p less than 0.01), and blood PCO2 (p less than 0.01). The scoring system may by used as a clinical guide when echocardiogram or angiogram is not available.

  6. Impact on house staff evaluation scores when changing from a Dreyfus- to a Milestone-based evaluation model: one internal medicine residency program's findings

    Directory of Open Access Journals (Sweden)

    Karen A. Friedman

    2014-11-01

    Full Text Available Purpose: As graduate medical education (GME moves into the Next Accreditation System (NAS, programs must take a critical look at their current models of evaluation and assess how well they align with reporting outcomes. Our objective was to assess the impact on house staff evaluation scores when transitioning from a Dreyfus-based model of evaluation to a Milestone-based model of evaluation. Milestones are a key component of the NAS. Method: We analyzed all end of rotation evaluations of house staff completed by faculty for academic years 2010–2011 (pre-Dreyfus model and 2011–2012 (post-Milestone model in one large university-based internal medicine residency training program. Main measures included change in PGY-level average score; slope, range, and separation of average scores across all six Accreditation Council for Graduate Medical Education (ACGME competencies. Results: Transitioning from a Dreyfus-based model to a Milestone-based model resulted in a larger separation in the scores between our three post-graduate year classes, a steeper progression of scores in the PGY-1 class, a wider use of the 5-point scale on our global end of rotation evaluation form, and a downward shift in the PGY-1 scores and an upward shift in the PGY-3 scores. Conclusions: For faculty trained in both models of assessment, the Milestone-based model had greater discriminatory ability as evidenced by the larger separation in the scores for all the classes, in particular the PGY-1 class.

  7. Energy-efficiency based classification of the manufacturing workstation

    Science.gov (United States)

    Frumuşanu, G.; Afteni, C.; Badea, N.; Epureanu, A.

    2017-08-01

    EU Directive 92/75/EC established for the first time an energy consumption labelling scheme, further implemented by several other directives. As consequence, nowadays many products (e.g. home appliances, tyres, light bulbs, houses) have an EU Energy Label when offered for sale or rent. Several energy consumption models of manufacturing equipments have been also developed. This paper proposes an energy efficiency - based classification of the manufacturing workstation, aiming to characterize its energetic behaviour. The concept of energy efficiency of the manufacturing workstation is defined. On this base, a classification methodology has been developed. It refers to specific criteria and their evaluation modalities, together to the definition & delimitation of energy efficiency classes. The energy class position is defined after the amount of energy needed by the workstation in the middle point of its operating domain, while its extension is determined by the value of the first coefficient from the Taylor series that approximates the dependence between the energy consume and the chosen parameter of the working regime. The main domain of interest for this classification looks to be the optimization of the manufacturing activities planning and programming. A case-study regarding an actual lathe classification from energy efficiency point of view, based on two different approaches (analytical and numerical) is also included.

  8. MEMS based pyroelectric thermal energy harvester

    Science.gov (United States)

    Hunter, Scott R; Datskos, Panagiotis G

    2013-08-27

    A pyroelectric thermal energy harvesting apparatus for generating an electric current includes a cantilevered layered pyroelectric capacitor extending between a first surface and a second surface, where the first surface includes a temperature difference from the second surface. The layered pyroelectric capacitor includes a conductive, bimetal top electrode layer, an intermediate pyroelectric dielectric layer and a conductive bottom electrode layer. In addition, a pair of proof masses is affixed at a distal end of the layered pyroelectric capacitor to face the first surface and the second surface, wherein the proof masses oscillate between the first surface and the second surface such that a pyroelectric current is generated in the pyroelectric capacitor due to temperature cycling when the proof masses alternately contact the first surface and the second surface.

  9. A Study of the Correlation of the Improvement of Teaching Evaluation Scores Based on Student Performance Grades

    Science.gov (United States)

    Chen, Chi Yuan; Wang, Shu-Yin; Yang, Yi-Fang

    2017-01-01

    The purpose of the study is to explore the influence of teaching evaluations on teachers in that they might try to please their students by giving higher grades in order to get higher teaching evaluation scores. To achieve this purpose, the study analyzed the correlations between teaching evaluation scores, student's final grades and course fail…

  10. Syncope diagnostic scores.

    Science.gov (United States)

    Sheldon, Robert

    2013-01-01

    The diagnosis of syncope poses unique challenges. Syncope has multiple etiologies, with most carrying benign prognoses, and a few less common causes carrying a risk of serious morbidity or death. The history at first glance carries few clues. Faced with this many patients are heavily investigated with tests known to be both useless and expensive. For these reasons considerable emphasis has been placed on developing evidence-based and quantitative histories that might distinguish among the main causes of syncope. Quantitative histories were first developed in populations of several hundred patients with definite diagnoses of various losses of consciousness. Their derivation and use mirror those of experienced clinicians. The first score - the Calgary Syncope Seizures Score - discriminates between epileptic convulsions and syncope with a sensitivity and specificity of about 94%. The second score, the Calgary Syncope Score for normal hearts, discriminates between vasovagal syncope and other causes of syncope with a sensitivity and specificity of about 90%. The third score, the Calgary Syncope Score for Structural Heart Disease, diagnoses ventricular tachycardia with 98% sensitivity and 71% specificity. It also accurately predicts serious arrhythmic outcomes and all cause death. Gaps in the accuracy of the second score have been identified and are being addressed. These scores are proving useful in the clinic, and as entry criteria for observation studies, genetic studies, and randomized clinical trials. A very simple score predicts vasovagal syncope recurrences, based on the number of faints in the preceding year. Work from several centres indicates that scores will distinguish among competing causes of syncope in select populations, such as those with bifascicular heart block, Brugada syndrome, and Long QT syndrome. Copyright © 2013 Elsevier Inc. All rights reserved.

  11. Bases for the Creation of Electric Energy Price Estimate Model

    International Nuclear Information System (INIS)

    Toljan, I.; Klepo, M.

    1995-01-01

    The paper presents the basic principles for the creation and introduction of a new model for the electric energy price estimate and its significant influence on the tariff system functioning. There is also a review of the model used presently for the electric energy price estimate which is based on the model of objectivized values of electric energy plants and production, transmission and distribution facilities, followed by proposed changes which would result in functional and organizational improvements within the electric energy system as the most complex subsystem of the whole power system. The model is based on substantial and functional connection of the optimization and analysis system with the electric energy economic dispatching, including marginal cost estimate and their influence on the tariff system as the main means in achieving better electric energy system's functioning quality. (author). 10 refs., 2 figs

  12. Energy-Based Acoustic Source Localization Methods: A Survey

    Directory of Open Access Journals (Sweden)

    Wei Meng

    2017-02-01

    Full Text Available Energy-based source localization is an important problem in wireless sensor networks (WSNs, which has been studied actively in the literature. Numerous localization algorithms, e.g., maximum likelihood estimation (MLE and nonlinear-least-squares (NLS methods, have been reported. In the literature, there are relevant review papers for localization in WSNs, e.g., for distance-based localization. However, not much work related to energy-based source localization is covered in the existing review papers. Energy-based methods are proposed and specially designed for a WSN due to its limited sensor capabilities. This paper aims to give a comprehensive review of these different algorithms for energy-based single and multiple source localization problems, their merits and demerits and to point out possible future research directions.

  13. Accuracy and Efficiency of Recording Pediatric Early Warning Scores Using an Electronic Physiological Surveillance System Compared With Traditional Paper-Based Documentation.

    Science.gov (United States)

    Sefton, Gerri; Lane, Steven; Killen, Roger; Black, Stuart; Lyon, Max; Ampah, Pearl; Sproule, Cathryn; Loren-Gosling, Dominic; Richards, Caitlin; Spinty, Jean; Holloway, Colette; Davies, Coral; Wilson, April; Chean, Chung Shen; Carter, Bernie; Carrol, E D

    2017-05-01

    Pediatric Early Warning Scores are advocated to assist health professionals to identify early signs of serious illness or deterioration in hospitalized children. Scores are derived from the weighting applied to recorded vital signs and clinical observations reflecting deviation from a predetermined "norm." Higher aggregate scores trigger an escalation in care aimed at preventing critical deterioration. Process errors made while recording these data, including plotting or calculation errors, have the potential to impede the reliability of the score. To test this hypothesis, we conducted a controlled study of documentation using five clinical vignettes. We measured the accuracy of vital sign recording, score calculation, and time taken to complete documentation using a handheld electronic physiological surveillance system, VitalPAC Pediatric, compared with traditional paper-based charts. We explored the user acceptability of both methods using a Web-based survey. Twenty-three staff participated in the controlled study. The electronic physiological surveillance system improved the accuracy of vital sign recording, 98.5% versus 85.6%, P < .02, Pediatric Early Warning Score calculation, 94.6% versus 55.7%, P < .02, and saved time, 68 versus 98 seconds, compared with paper-based documentation, P < .002. Twenty-nine staff completed the Web-based survey. They perceived that the electronic physiological surveillance system offered safety benefits by reducing human error while providing instant visibility of recorded data to the entire clinical team.

  14. Ionic liquid-based green processes for energy production.

    Science.gov (United States)

    Zhang, Suojiang; Sun, Jian; Zhang, Xiaochun; Xin, Jiayu; Miao, Qingqing; Wang, Jianji

    2014-11-21

    To mitigate the growing pressure on resource depletion and environment degradation, the development of green processes for the production of renewable energy is highly required. As a class of novel and promising media, ionic liquids (ILs) have shown infusive potential applications in energy production. Aiming to offer a critical overview regarding the new challenges and opportunities of ILs for developing green processes of renewable energy, this article emphasises the role of ILs as catalysts, solvents, or electrolytes in three broadly interesting energy production processes from renewable resources, such as CO2 conversion to fuels and fuel additives, biomass pretreatment and conversion to biofuels, as well as solar energy and energy storage. It is expected that this article will stimulate a generation of new ideas and new technologies in IL-based renewable energy production.

  15. An Automated Energy Detection Algorithm Based on Consecutive Mean Excision

    Science.gov (United States)

    2018-01-01

    ARL-TR-8268 ● JAN 2018 US Army Research Laboratory An Automated Energy Detection Algorithm Based on Consecutive Mean Excision...not return it to the originator. ARL-TR-8268 ● JAN 2018 US Army Research Laboratory An Automated Energy Detection Algorithm...2018 2. REPORT TYPE Technical Report 3. DATES COVERED (From - To) 1 October 2016–30 September 2017 4. TITLE AND SUBTITLE An Automated Energy

  16. Energy Efficient Wireless Sensor Network Modelling Based on Complex Networks

    OpenAIRE

    Xiao, Lin; Wu, Fahui; Yang, Dingcheng; Zhang, Tiankui; Zhu, Xiaoya

    2016-01-01

    The power consumption and energy efficiency of wireless sensor network are the significant problems in Internet of Things network. In this paper, we consider the network topology optimization based on complex network theory to solve the energy efficiency problem of WSN. We propose the energy efficient model of WSN according to the basic principle of small world from complex networks. Small world network has clustering features that are similar to that of the rules of the network but also has ...

  17. Predictive value of semi-quantitative MRI-based scoring systems for future knee replacement: data from the osteoarthritis initiative

    Energy Technology Data Exchange (ETDEWEB)

    Hafezi-Nejad, Nima; Eng, John; Demehri, Shadpour [Johns Hopkins University School of Medicine, Musculoskeletal Radiology, Russell H. Morgan Department of Radiology and Radiological Science, Baltimore, MD (United States); Zikria, Bashir [Johns Hopkins University, Department of Orthopedic Surgery, Baltimore, MD (United States); Carrino, John A. [Hospital for Special Surgery, Department of Radiology and Imaging, New York, NY (United States)

    2015-11-15

    To evaluate, in a confirmatory fashion, whether baseline and change from baseline to 24-month follow-up in cartilage damage, bone marrow lesions and meniscal damage are predictors of knee replacement (KR) in subjects with a high risk of osteoarthritis (OA), independent of the level of physical activity, symptom severity and radiographic abnormalities. Data from the Osteoarthritis Initiative's (OAI) baseline and 24-month follow-up knee MRIs of 115 patients (age range: 45-78 years; 48 % female; BMI: 20.9-48.7) were analyzed. Cartilage, bone marrow and menisci were semi-quantitatively scored according to the Whole-Organ Magnetic Resonance Imaging Score (WORMS) and Boston-Leeds Osteoarthritis Knee Score (BLOKS) systems in all compartments. Baseline and 24-month interval changes in structural tissue damage assessed by BLOKS and WORMS were used as predictors of KR independent of clinical and radiographic parameters using Cox hazard analysis. Adjustments were performed for age, gender, BMI and physical activity (Physical Activity Scale for the Elderly: PASE), Western Ontario and McMaster Questionnaire (WOMAC) total score and radiographic Kellgren-Lawrence (KL) score. BLOKS and WORMS baseline cartilage scores were predictors of KR independent of the PASE, WOMAC and KL score. One score increase in the average baseline BLOKS full-thickness cartilage defect score was associated with a [hazard ratio (95 % CI)] 13.55 (3.61-50.89) times greater risk of KR independent of the PASE, WOMAC and KL score. Net reclassification improvements (NRIs) of the additional evaluation of 24-month follow-up MRI scores and assessment of changes were not significant for prediction of KR (NRI range: - 7.23 - 24.8 %). The BLOKS cartilage score for full-thickness cartilage defects had the highest hazard for KR. Follow-up MRI changes in structural tissue damage, detected by BLOKS and WORMS cartilage, bone marrow or meniscus scores (up to 24 months) had no significant predictive value in addition

  18. Analysis of renewable energy sources and electric vehicle penetration into energy systems predominantly based on lignite

    Science.gov (United States)

    Dedinec, A.; Jovanovski, B.; Gajduk, A.; Markovska, N.; Kocarev, L.

    2016-05-01

    We consider an integration of renewable energy into transport and electricity sectors through vehicle to grid (V2G) technologies for an energy system that is predominantly based on lignite. The national energy system of Macedonia is modeled using EnergyPLAN which integrates energy for electricity, transport and heat, and includes hourly fluctuations in human needs and the environment. We show that electric-vehicles can provide the necessary storage enabling a fully renewable energy profile for Macedonia that can match the country's growing demand for energy. Furthermore, a large penetration of electric vehicles leads to a dramatic reduction of 47% of small particles and other air pollutants generated by car traffic in 2050.

  19. Design and optimization of zero-energy-consumption based solar energy residential building systems

    Science.gov (United States)

    Zheng, D. L.; Yu, L. J.; Tan, H. W.

    2017-11-01

    Energy consumption of residential buildings has grown fast in recent years, thus raising a challenge on zero energy residential building (ZERB) systems, which aim at substantially reducing energy consumption of residential buildings. Thus, how to facilitate ZERB has become a hot but difficult topic. In the paper, we put forward the overall design principle of ZERB based on analysis of the systems’ energy demand. In particular, the architecture for both schematic design and passive technology is optimized and both energy simulation analysis and energy balancing analysis are implemented, followed by committing the selection of high-efficiency appliance and renewable energy sources for ZERB residential building. In addition, Chinese classical residential building has been investigated in the proposed case, in which several critical aspects such as building optimization, passive design, PV panel and HVAC system integrated with solar water heater, Phase change materials, natural ventilation, etc., have been taken into consideration.

  20. Hydrogen-based electrochemical energy storage

    Science.gov (United States)

    Simpson, Lin Jay

    2013-08-06

    An energy storage device (100) providing high storage densities via hydrogen storage. The device (100) includes a counter electrode (110), a storage electrode (130), and an ion conducting membrane (120) positioned between the counter electrode (110) and the storage electrode (130). The counter electrode (110) is formed of one or more materials with an affinity for hydrogen and includes an exchange matrix for elements/materials selected from the non-noble materials that have an affinity for hydrogen. The storage electrode (130) is loaded with hydrogen such as atomic or mono-hydrogen that is adsorbed by a hydrogen storage material such that the hydrogen (132, 134) may be stored with low chemical bonding. The hydrogen storage material is typically formed of a lightweight material such as carbon or boron with a network of passage-ways or intercalants for storing and conducting mono-hydrogen, protons, or the like. The hydrogen storage material may store at least ten percent by weight hydrogen (132, 134) at ambient temperature and pressure.

  1. Weighted risk score-based multifactor dimensionality reduction to detect gene-gene interactions in nasopharyngeal carcinoma.

    Science.gov (United States)

    Li, Chao-Feng; Luo, Fu-Tian; Zeng, Yi-Xin; Jia, Wei-Hua

    2014-06-13

    Determining the complex relationships between diseases, polymorphisms in human genes and environmental factors is challenging. Multifactor dimensionality reduction (MDR) has been proven to be capable of effectively detecting the statistical patterns of epistasis, although classification accuracy is required for this approach. The imbalanced dataset can cause seriously negative effects on classification accuracy. Moreover, MDR methods cannot quantitatively assess the disease risk of genotype combinations. Hence, we introduce a novel weighted risk score-based multifactor dimensionality reduction (WRSMDR) method that uses the Bayesian posterior probability of polymorphism combinations as a new quantitative measure of disease risk. First, we compared the WRSMDR to the MDR method in simulated datasets. Our results showed that the WRSMDR method had reasonable power to identify high-order gene-gene interactions, and it was more effective than MDR at detecting four-locus models. Moreover, WRSMDR reveals more information regarding the effect of genotype combination on the disease risk, and the result was easier to determine and apply than with MDR. Finally, we applied WRSMDR to a nasopharyngeal carcinoma (NPC) case-control study and identified a statistically significant high-order interaction among three polymorphisms: rs2860580, rs11865086 and rs2305806.

  2. Weighted Risk Score-Based Multifactor Dimensionality Reduction to Detect Gene-Gene Interactions in Nasopharyngeal Carcinoma

    Directory of Open Access Journals (Sweden)

    Chao-Feng Li

    2014-06-01

    Full Text Available Determining the complex relationships between diseases, polymorphisms in human genes and environmental factors is challenging. Multifactor dimensionality reduction (MDR has been proven to be capable of effectively detecting the statistical patterns of epistasis, although classification accuracy is required for this approach. The imbalanced dataset can cause seriously negative effects on classification accuracy. Moreover, MDR methods cannot quantitatively assess the disease risk of genotype combinations. Hence, we introduce a novel weighted risk score-based multifactor dimensionality reduction (WRSMDR method that uses the Bayesian posterior probability of polymorphism combinations as a new quantitative measure of disease risk. First, we compared the WRSMDR to the MDR method in simulated datasets. Our results showed that the WRSMDR method had reasonable power to identify high-order gene-gene interactions, and it was more effective than MDR at detecting four-locus models. Moreover, WRSMDR reveals more information regarding the effect of genotype combination on the disease risk, and the result was easier to determine and apply than with MDR. Finally, we applied WRSMDR to a nasopharyngeal carcinoma (NPC case-control study and identified a statistically significant high-order interaction among three polymorphisms: rs2860580, rs11865086 and rs2305806.

  3. Anomalous diffusion in the evolution of soccer championship scores: Real data, mean-field analysis, and an agent-based model

    Science.gov (United States)

    da Silva, Roberto; Vainstein, Mendeli H.; Gonçalves, Sebastián; Paula, Felipe S. F.

    2013-08-01

    Statistics of soccer tournament scores based on the double round robin system of several countries are studied. Exploring the dynamics of team scoring during tournament seasons from recent years we find evidences of superdiffusion. A mean-field analysis results in a drift velocity equal to that of real data but in a different diffusion coefficient. Along with the analysis of real data we present the results of simulations of soccer tournaments obtained by an agent-based model which successfully describes the final scoring distribution [da Silva , Comput. Phys. Commun.CPHCBZ0010-465510.1016/j.cpc.2012.10.030 184, 661 (2013)]. Such model yields random walks of scores over time with the same anomalous diffusion as observed in real data.

  4. Energy saving behaviours: Development of a practice-based model

    International Nuclear Information System (INIS)

    Sweeney, Jillian C.; Kresling, Johannes; Webb, Dave; Soutar, Geoffrey N.; Mazzarol, Tim

    2013-01-01

    Financial pressure and concern for the environment has meant many consumers are aware of the need to reduce their consumption of many resources, including energy, which is the focus of the present study. While potential energy use deterrents in the form of access constraints and price increases are forms of extrinsic control, it is not clear how effective these are at reducing consumption and, indeed, it is not clear if such measures are consistent with people's underlying energy saving motivations. Beyond behavioural motivations, people's desires to reduce energy can be thwarted (barriers) and/or supported by a variety of factors, some within their control, while others are perhaps less so. Using a practice-based framework and a qualitative focus group approach, this study presents an exploratory study of these issues. Policy suggestions for overcoming barriers, as well suggestions as to how energy saving behaviours can be supported are offered. - Highlights: • We obtained consumers views about energy saving motivations, barriers and support. • Attitudes towards energy saving are not sufficient to change behaviours. • A practice-based approach to understanding energy saving behaviours is applied. • A practice-based energy-cultures framework (PBECF) is developed. • Barriers and support factors are identified that can be conceptualised within a PBECF

  5. Development of new risk score for pre-test probability of obstructive coronary artery disease based on coronary CT angiography.

    Science.gov (United States)

    Fujimoto, Shinichiro; Kondo, Takeshi; Yamamoto, Hideya; Yokoyama, Naoyuki; Tarutani, Yasuhiro; Takamura, Kazuhisa; Urabe, Yoji; Konno, Kumiko; Nishizaki, Yuji; Shinozaki, Tomohiro; Kihara, Yasuki; Daida, Hiroyuki; Isshiki, Takaaki; Takase, Shinichi

    2015-09-01

    Existing methods to calculate pre-test probability of obstructive coronary artery disease (CAD) have been established using selected high-risk patients who were referred to conventional coronary angiography. The purpose of this study is to develop and validate our new method for pre-test probability of obstructive CAD using patients who underwent coronary CT angiography (CTA), which could be applicable to a wider range of patient population. Using consecutive 4137 patients with suspected CAD who underwent coronary CTA at our institution, a multivariate logistic regression model including clinical factors as covariates calculated the pre-test probability (K-score) of obstructive CAD determined by coronary CTA. The K-score was compared with the Duke clinical score using the area under the curve (AUC) for the receiver-operating characteristic curve. External validation was performed by an independent sample of 319 patients. The final model included eight significant predictors: age, gender, coronary risk factor (hypertension, diabetes mellitus, dyslipidemia, smoking), history of cerebral infarction, and chest symptom. The AUC of the K-score was significantly greater than that of the Duke clinical score for both derivation (0.736 vs. 0.699) and validation (0.714 vs. 0.688) data sets. Among patients who underwent coronary CTA, newly developed K-score had better pre-test prediction ability of obstructive CAD compared to Duke clinical score in Japanese population.

  6. Energy Resiliency for Marine Corps Logistics Base Production Plant Barstow

    Science.gov (United States)

    2014-12-01

    13 1. Biomass, Landfill Gas, and Biogas ...security. Figure 3. SCE SAIDI and SIAIF data 2008 – 2014 E. ENERGY SOURCES 1. Biomass, Landfill Gas, and Biogas Biomass and Biogas ...availability is significant to this study because biogas is used at other Marine Corps Logistics Bases as a means of producing energy, and as an alternative to

  7. Energy demand forecasting method based on international statistical data

    International Nuclear Information System (INIS)

    Glanc, Z.; Kerner, A.

    1997-01-01

    Poland is in a transition phase from a centrally planned to a market economy; data collected under former economic conditions do not reflect a market economy. Final energy demand forecasts are based on the assumption that the economic transformation in Poland will gradually lead the Polish economy, technologies and modes of energy use, to the same conditions as mature market economy countries. The starting point has a significant influence on the future energy demand and supply structure: final energy consumption per capita in 1992 was almost half the average of OECD countries; energy intensity, based on Purchasing Power Parities (PPP) and referred to GDP, is more than 3 times higher in Poland. A method of final energy demand forecasting based on regression analysis is described in this paper. The input data are: output of macroeconomic and population growth forecast; time series 1970-1992 of OECD countries concerning both macroeconomic characteristics and energy consumption; and energy balance of Poland for the base year of the forecast horizon. (author). 1 ref., 19 figs, 4 tabs

  8. PMBLDCG based stand-alone wind energy conversion system for ...

    African Journals Online (AJOL)

    This paper deals with a permanent magnet brushless DC generator (PMBLDCG) based stand-alone wind energy conversion system (WECS) for small scale power generation. A buck-boost DC-DC converter is used for controlling the PMBLDCG speed to achieve optimum energy output from the wind turbine without sensing ...

  9. Energy enhancer for mask based laser materials processing

    DEFF Research Database (Denmark)

    Bastue, Jens; Olsen, Flemmming Ove

    1996-01-01

    A device capable of drastically improving the energy efficiency of present mask based laser materials processing systems is presented. Good accordance between experiments and simulations for a TEA-CO2 laser system designed for laser marking has been demonstrated. The energy efficiency may...... be improved with a factor of 2 - 4 for typical mask transmittances between 10 - 40%....

  10. Comparison of gas dehydration methods based on energy ...

    African Journals Online (AJOL)

    Comparison of gas dehydration methods based on energy consumption. ... This study compares three conventional methods of natural gas (Associated Natural Gas) dehydration to carry out the dehydration process and suitability of use on the basis of energy requirement. These methods are Triethylene Glycol (TEG) ...

  11. GRACE risk score: Sex-based validity of in-hospital mortality prediction in Canadian patients with acute coronary syndrome.

    Science.gov (United States)

    Gong, Inna Y; Goodman, Shaun G; Brieger, David; Gale, Chris P; Chew, Derek P; Welsh, Robert C; Huynh, Thao; DeYoung, J Paul; Baer, Carolyn; Gyenes, Gabor T; Udell, Jacob A; Fox, Keith A A; Yan, Andrew T

    2017-10-01

    Although there are sex differences in management and outcome of acute coronary syndromes (ACS), sex is not a component of Global Registry of Acute Coronary Events (GRACE) risk score (RS) for in-hospital mortality prediction. We sought to determine the prognostic utility of GRACE RS in men and women, and whether its predictive accuracy would be augmented through sex-based modification of its components. Canadian men and women enrolled in GRACE and Canadian Registry of Acute Coronary Events were stratified as ST-segment elevation myocardial infarction (STEMI) or non-ST-segment elevation ACS (NSTE-ACS). GRACE RS was calculated as per original model. Discrimination and calibration were evaluated using the c-statistic and Hosmer-Lemeshow goodness-of-fit test, respectively. Multivariable logistic regression was undertaken to assess potential interactions of sex with GRACE RS components. For the overall cohort (n=14,422), unadjusted in-hospital mortality rate was higher in women than men (4.5% vs. 3.0%, p0.80), discrimination was lower for women compared to men with STEMI [0.80 (0.75-0.84) vs. 0.86 (0.82-0.89), respectively, pwomen (p=0.86), but suboptimal for men (p=0.031). No significant interaction was evident between sex and RS components (all p>0.25). The GRACE RS is a valid predictor of in-hospital mortality for both men and women with ACS. The lack of interaction between sex and RS components suggests that sex-based modification is not required. Copyright © 2017 Elsevier B.V. All rights reserved.

  12. The Effects of the Clock and Kickoff Rule Changes on Actual and Market-Based Expected Scoring in NCAA Football

    Directory of Open Access Journals (Sweden)

    Kenneth Linna

    2014-04-01

    Full Text Available Clock rule changes were introduced in the 2006 season with the goal of reducing the average duration of the game; these changes were reversed in 2007. In addition, in 2007 the kickoff rule was changed to create more excitement and potentially more scoring. We examine what happened to actual and expected scoring during these National Collegiate Athletic Association (NCAA football seasons. The clock rule change in 2006 led to lower scoring which was not fully encompassed in the betting market, leading to significant returns to betting the under. Multiple rule changes in 2007 led to volatility in the betting market that subsided by season’s end.

  13. Optimization-Based Management of Energy Systems

    Science.gov (United States)

    2011-05-11

    collection of information if it does not display a currently valid OMB control number. 1. REPORT DATE MAY 2011 2. REPORT TYPE 3. DATES COVERED 00-00...microgrid control provides an average annual 5-20% cost reduction compared with simple rule-based control strategy Annual Operating Cost Comparison NC...Generator Solar PV Battery G T IL I V Rs   STC STC STCMPPT MPPT TTk G P GP  1ˆ , E(SOC) RB ID IC 0 1 2 3 4 5 0 10 20 30 40 50 60 DC generator

  14. Prevalence of diabetes mellitus and the performance of a risk score among Hindustani Surinamese, African Surinamese and ethnic Dutch: a cross-sectional population-based study

    Directory of Open Access Journals (Sweden)

    Michels Bob PJ

    2008-08-01

    Full Text Available Abstract Background While the prevalence of type 2 diabetes mellitus (DM is high, tailored risk scores for screening among South Asian and African origin populations are lacking. The aim of this study was, first, to compare the prevalence of (known and newly detected DM among Hindustani Surinamese, African Surinamese and ethnic Dutch (Dutch. Second, to develop a new risk score for DM. Third, to evaluate the performance of the risk score and to compare it to criteria derived from current guidelines. Methods We conducted a cross-sectional population based study among 336 Hindustani Surinamese, 593 African Surinamese and 486 Dutch, aged 35–60 years, in Amsterdam. Logistic regressing analyses were used to derive a risk score based on non-invasively determined characteristics. The diagnostic accuracy was assessed by the area under the Receiver-Operator Characteristic curve (AUC. Results Hindustani Surinamese had the highest prevalence of DM, followed by African Surinamese and Dutch: 16.7, 8.1, 4.2% (age 35–44 and 35.0, 19.0, 8.2% (age 45–60, respectively. The risk score included ethnicity, body mass index, waist circumference, resting heart rate, first-degree relative with DM, hypertension and history of cardiovascular disease. Selection based on age alone showed the lowest AUC: between 0.57–0.62. The AUC of our score (0.74–0.80 was higher than that of criteria from guidelines based solely on age and BMI and as high as criteria that required invasive specimen collection. Conclusion In Hindustani Surinamese and African Surinamese populations, screening for DM should not be limited to those over 45 years, as is advocated in several guidelines. If selective screening is indicated, our ethnicity based risk score performs well as a screening test for DM among these groups, particularly compared to the criteria based on age and/or body mass index derived from current guidelines.

  15. Prevalence of diabetes mellitus and the performance of a risk score among Hindustani Surinamese, African Surinamese and ethnic Dutch: a cross-sectional population-based study.

    Science.gov (United States)

    Bindraban, Navin R; van Valkengoed, Irene G M; Mairuhu, Gideon; Holleman, Frits; Hoekstra, Joost B L; Michels, Bob P J; Koopmans, Richard P; Stronks, Karien

    2008-08-01

    While the prevalence of type 2 diabetes mellitus (DM) is high, tailored risk scores for screening among South Asian and African origin populations are lacking. The aim of this study was, first, to compare the prevalence of (known and newly detected) DM among Hindustani Surinamese, African Surinamese and ethnic Dutch (Dutch). Second, to develop a new risk score for DM. Third, to evaluate the performance of the risk score and to compare it to criteria derived from current guidelines. We conducted a cross-sectional population based study among 336 Hindustani Surinamese, 593 African Surinamese and 486 Dutch, aged 35-60 years, in Amsterdam. Logistic regressing analyses were used to derive a risk score based on non-invasively determined characteristics. The diagnostic accuracy was assessed by the area under the Receiver-Operator Characteristic curve (AUC). Hindustani Surinamese had the highest prevalence of DM, followed by African Surinamese and Dutch: 16.7, 8.1, 4.2% (age 35-44) and 35.0, 19.0, 8.2% (age 45-60), respectively. The risk score included ethnicity, body mass index, waist circumference, resting heart rate, first-degree relative with DM, hypertension and history of cardiovascular disease. Selection based on age alone showed the lowest AUC: between 0.57-0.62. The AUC of our score (0.74-0.80) was higher than that of criteria from guidelines based solely on age and BMI and as high as criteria that required invasive specimen collection. In Hindustani Surinamese and African Surinamese populations, screening for DM should not be limited to those over 45 years, as is advocated in several guidelines. If selective screening is indicated, our ethnicity based risk score performs well as a screening test for DM among these groups, particularly compared to the criteria based on age and/or body mass index derived from current guidelines.

  16. Energy Optimal Control Strategy of PHEV Based on PMP Algorithm

    Directory of Open Access Journals (Sweden)

    Tiezhou Wu

    2017-01-01

    Full Text Available Under the global voice of “energy saving” and the current boom in the development of energy storage technology at home and abroad, energy optimal control of the whole hybrid electric vehicle power system, as one of the core technologies of electric vehicles, is bound to become a hot target of “clean energy” vehicle development and research. This paper considers the constraints to the performance of energy storage system in Parallel Hybrid Electric Vehicle (PHEV, from which lithium-ion battery frequently charges/discharges, PHEV largely consumes energy of fuel, and their are difficulty in energy recovery and other issues in a single cycle; the research uses lithium-ion battery combined with super-capacitor (SC, which is hybrid energy storage system (Li-SC HESS, working together with internal combustion engine (ICE to drive PHEV. Combined with PSO-PI controller and Li-SC HESS internal power limited management approach, the research proposes the PHEV energy optimal control strategy. It is based on revised Pontryagin’s minimum principle (PMP algorithm, which establishes the PHEV vehicle simulation model through ADVISOR software and verifies the effectiveness and feasibility. Finally, the results show that the energy optimization control strategy can improve the instantaneity of tracking PHEV minimum fuel consumption track, implement energy saving, and prolong the life of lithium-ion batteries and thereby can improve hybrid energy storage system performance.

  17. CORRELATION OF PEMPHIGUS VULGARIS ANTIBODY TITERS BY INDIRECT IMMUNOFLUORESCENCE WITH ACTIVITY OF DISEASE BASED ON PEMPHIGUS AREA AND ACTIVITY SCORE (PAAS

    Directory of Open Access Journals (Sweden)

    H. Mortazavi

    2008-06-01

    Full Text Available Indirect immunofluorescence (IIF has been used to identify and measure autoantibody levels in pemphigus vulgaris but data about relationship between clinical severity of disease and antibody titers by IIF have been conflicting. We conducted this cross-sectional study to correlate the severity of oral and/or cutaneous involvement in patients with pemphigus vulgaris based on Pemphigus Area and Activity Score with IIF titers. Sixty-one new pemphigus vulgaris patients were included in this study. Human prepuce was used as substrate for IIF and assessment of disease severity was based on Pemphigus Area and Activity Score. The mean±SD age was 44.04±30.46 years, with a range of 18 to 79 years. IIF was positive in 56 (91.8% patients. There was a significant relationship between total disease score and IIF titers ((P<0.001. Also a significant relationship was found between skin score (P=0.04 and mucosal score (P=0.04 with IIF titers. Our results show that there is a significant relationship between disease activity based on Pemphigus Area and Activity Score and antibody titers by IIF. Further studies are recommended to determine the usefulness of this technique for monitoring disease.

  18. Energy-Based Devices in Treatment of Acne Vulgaris.

    Science.gov (United States)

    Handler, Marc Z; Bloom, Bradley S; Goldberg, David J

    2016-05-01

    Acne vulgaris is a chronic dermatologic complaint with a multifactorial cause. Traditionally, antibiotics and retinoids have been used to manage the condition; patient compliance has been an ongoing issue. A variety of energy-based devices have been reported to be effective in the treatment of acne vulgaris. To review and summarize the current literature specific to treatment of acne vulgaris with energy-based devices. A review of the current literature of energy-based devices used for the treatment of acne vulgaris. Although limited randomized controlled trials for the treatment of acne have been performed, significant clinical improvement of acne vulgaris, especially of inflammatory lesions, has been demonstrated with a variety of energy-based devices. Newer approaches may lead to even better results.

  19. Polymer Based Nanocomposites for Solar Energy Conversion

    Energy Technology Data Exchange (ETDEWEB)

    Shaheen, S.; Olson, D.; White, M.; Mitchell, W.; Miedaner, A.; Curtis, C.; Rumbles, G.; Gregg, B.; Ginley, D.

    2005-01-01

    Organic semiconductor-based photovoltaic devices offer the promise of low cost photovoltaic technology that can be manufactured via large-scale, roll-to-roll printing techniques. Existing organic photovoltaic devices are currently limited to solar power conversion efficiencies of 3?5%. This is because of poor overlap between the absorption spectrum of the organic chromophores and the solar spectrum, non-ideal band alignment between the donor and acceptor species, and low charge carrier mobilities. To address these issues, we are investigating the development of dendrimeric organic semiconductors that are readily synthesized with high purity. They also benefit from optoelectronic properties, such as band gap and band positions, which can be easily tuned by substituting different chemical groups into the molecule. Additionally, we are developing nanostructured oxide/conjugated polymer composite photovoltaics. These composites take advantage of the high electron mobilities attainable in oxide semiconductors and can be fabricated using low-temperature solution-based growth techniques. Here, we discuss the synthesis and preliminary device results of these novel materials and composites.

  20. Predictive Score Model for Delayed Graft Function Based on Easily Available Variables before Kidney Donation after Cardiac Death

    Directory of Open Access Journals (Sweden)

    Chen-Guang Ding

    2017-01-01

    Conclusions: The scoring model might be a good noninvasive tool for assessing the quality of DCD kidneys before donation and potentially useful for physicians to make optimal decisions about donor organ offers.

  1. A renewables-based South African energy system?

    CSIR Research Space (South Africa)

    Bischof-Niemz, T

    2015-12-01

    Full Text Available Bischof-Niemz Chief Engineer A Renewables-based South African Energy System? Presentation at the Science Forum South Africa Dr Tobias Bischof-Niemz, CSIR Energy Centre Manager Johannesburg, 8 December 2015 Cell: +27 83 403 1108 Email: TBischof...Niemz@csir.co.za 2Dr Tobias Bischof-Niemz Head of CSIR’s Energy Centre Professional Experience • Member of the Ministerial Advisory Council on Energy (MACE) • Extraordinary Associate Professor at Stellenbosch University • Jul 2014 – today: Centre Manager at the CSIR...

  2. Energy conservation technologies based on thermodynamic principles

    Energy Technology Data Exchange (ETDEWEB)

    Hirata, Masaru [Shibaura Institute of Technology of Technology, Tokyo (Japan)

    1996-12-31

    In order to reduce CO{sub 2} emission to prevent global warming, the most promising way for electric generation in the Northeast Asia is to introduce cogeneration and {open_quotes}repowering{close_quotes} technologies based on high temperature gas turbines fueled by natural gas. Especially the old type coal burning boiler-steam turbine plants should be retrofit by introducing gas turbines to become highly efficient combined cycle. Same technologies should be applied to the old garbage incineration plants and/or even to the nuclear power plants. The exhaust heat or steam should become much increased and it should be utilized as the process heat for industries or heat supply as the distinct heating or cooling for residential area. This paper introduces a brief survey of these new technologies.

  3. Assessment of the reliability and consistency of the "malnutrition inflammation score" (MIS) in Mexican adults with chronic kidney disease for diagnosis of protein-energy wasting syndrome (PEW).

    Science.gov (United States)

    González-Ortiz, Ailema Janeth; Arce-Santander, Celene Viridiana; Vega-Vega, Olynka; Correa-Rotter, Ricardo; Espinosa-Cuevas, María de Los Angeles

    2014-10-04

    The protein-energy wasting syndrome (PEW) is a condition of malnutrition, inflammation, anorexia and wasting of body reserves resulting from inflammatory and non-inflammatory conditions in patients with chronic kidney disease (CKD).One way of assessing PEW, extensively described in the literature, is using the Malnutrition Inflammation Score (MIS). To assess the reliability and consistency of MIS for diagnosis of PEW in Mexican adults with CKD on hemodialysis (HD). Study of diagnostic tests. A sample of 45 adults with CKD on HD were analyzed during the period June-July 2014.The instrument was applied on 2 occasions; the test-retest reliability was calculated using the Intraclass Correlation Coefficient (ICC); the internal consistency of the questionnaire was analyzed using Cronbach's αcoefficient. A weighted Kappa test was used to estimate the validity of the instrument; the result was subsequently compared with the Bilbrey nutritional index (BNI). The reliability of the questionnaires, evaluated in the patient sample, was ICC=0.829.The agreement between MIS observations was considered adequate, k= 0.585 (p <0.001); when comparing it with BNI, a value of k = 0.114 was obtained (p <0.001).In order to estimate the tendency, a correlation test was performed. The r² correlation coefficient was 0.488 (P <0.001). MIS has adequate reliability and validity for diagnosing PEW in the population with chronic kidney disease on HD. Copyright AULA MEDICA EDICIONES 2014. Published by AULA MEDICA. All rights reserved.

  4. Material identification based upon energy-dependent attenuation of neutrons

    Science.gov (United States)

    Marleau, Peter

    2015-10-06

    Various technologies pertaining to identifying a material in a sample and imaging the sample are described herein. The material is identified by computing energy-dependent attenuation of neutrons that is caused by presence of the sample in travel paths of the neutrons. A mono-energetic neutron generator emits the neutron, which is downscattered in energy by a first detector unit. The neutron exits the first detector unit and is detected by a second detector unit subsequent to passing through the sample. Energy-dependent attenuation of neutrons passing through the sample is computed based upon a computed energy of the neutron, wherein such energy can be computed based upon 1) known positions of the neutron generator, the first detector unit, and the second detector unit; or 2) computed time of flight of neutrons between the first detector unit and the second detector unit.

  5. Energy Management for Community Energy Network with CHP Based on Cooperative Game

    Directory of Open Access Journals (Sweden)

    Xiaofeng Liu

    2018-04-01

    Full Text Available Integrated energy system (IES has received increasing attention in micro grid due to the high energy efficiency and low emission of carbon dioxide. Based on the technology of combined heat and power (CHP, this paper develops a novel operation mechanism with community micro turbine and shared energy storage system (ESS for energy management of prosumers. In the proposed framework, micro-grid operator (MGO equipped with micro turbine and ESS provides energy selling business and ESS leasing business for prosumers. Prosumers can make energy trading with public grid and MGO, and ESS will be shared among prosumers when they pay for the rent to MGO. Based on such framework, we adopt a cooperative game for prosumers to determine optimal energy trading strategies from MGO and public grid for the next day. Concretely, a cooperative game model is formulated to search the optimal strategies aiming at minimizing the daily cost of coalition, and then a bilateral Shapley value (BSV is proposed to solve the allocation problem of coalition’s cost among prosumers. To verify the effectiveness of proposed energy management framework, a practical example is conducted with a community energy network containing MGO and 10 residential buildings. Simulation results show that the proposed scheme is able to provide financial benefits to all prosumers, while providing peak load leveling for the grid.

  6. The Impact of Individual Ability, Favorable Team Member Scores, and Student Perception of Course Importance on Student Preference of Team-Based Learning and Grading Methods

    Science.gov (United States)

    Su, Allan Yen-Lun

    2007-01-01

    This study explores the impact of individual ability and favorable team member scores on student preference of team-based learning and grading methods, and examines the moderating effects of student perception of course importance on student preference of team-based learning and grading methods. The author also investigates the relationship…

  7. Research on Battery Energy Storage System Based on User Side

    Science.gov (United States)

    Wang, Qian; Zhang, Yichi; Yun, Zejian; Wang, Xuguang; Zhang, Dong; Bian, Di

    2018-01-01

    This paper introduces the effect of user side energy storage on the user side and the network side, a battery energy storage system for the user side is designed. The main circuit topology of the battery energy storage system based on the user side is given, the structure is mainly composed of two parts: DC-DC two-way half bridge converter and DC-AC two-way converter, a control strategy combining battery charging and discharging characteristics is proposed to decouple the grid side and the energy storage side, and the block diagram of the charging and discharging control of the energy storage system is given. The simulation results show that the battery energy storage system of the user side can not only realize reactive power compensation of low-voltage distribution network, but also improve the power quality of the users.

  8. Normed kernel function-based fuzzy possibilistic C-means (NKFPCM) algorithm for high-dimensional breast cancer database classification with feature selection is based on Laplacian Score

    Science.gov (United States)

    Lestari, A. W.; Rustam, Z.

    2017-07-01

    In the last decade, breast cancer has become the focus of world attention as this disease is one of the primary leading cause of death for women. Therefore, it is necessary to have the correct precautions and treatment. In previous studies, Fuzzy Kennel K-Medoid algorithm has been used for multi-class data. This paper proposes an algorithm to classify the high dimensional data of breast cancer using Fuzzy Possibilistic C-means (FPCM) and a new method based on clustering analysis using Normed Kernel Function-Based Fuzzy Possibilistic C-Means (NKFPCM). The objective of this paper is to obtain the best accuracy in classification of breast cancer data. In order to improve the accuracy of the two methods, the features candidates are evaluated using feature selection, where Laplacian Score is used. The results show the comparison accuracy and running time of FPCM and NKFPCM with and without feature selection.

  9. Energy use in the rural areas of India: setting up a rural energy data base

    International Nuclear Information System (INIS)

    Sinha, Chandra Shekhar; Sinha, Shirish; Joshi, Veena

    1998-01-01

    Aggregating and forecasting demand are crucial parts of energy planning. While a large number of energy consumption surveys have been conducted in the past in the rural energy sector of India, the lack of sufficient data and its compilation, coupled with doubt about the quality of data, has made the task extremely difficult. This paper summarizes recent efforts to compile, computerize and analyze data from 638 village energy consumption surveys covering over 39,000 households, carried out by different organisations between 1985 and 1989. The details of the level of information provided in the survey reports, area of survey, land use pattern, asset ownership, etc., of the collated studies are presented. Results based on the analysis of the energy consumption data compiled are then discussed. The paper also compares the estimates with those based on other surveys in India. (author)

  10. Assessing the Quality of Mobile Exercise Apps Based on the American College of Sports Medicine Guidelines: A Reliable and Valid Scoring Instrument

    Science.gov (United States)

    Bian, Jiang; Leavitt, Trevor; Vincent, Heather K; Vander Zalm, Lindsey; Teurlings, Tyler L; Smith, Megan D

    2017-01-01

    Background Regular physical activity can not only help with weight management, but also lower cardiovascular risks, cancer rates, and chronic disease burden. Yet, only approximately 20% of Americans currently meet the physical activity guidelines recommended by the US Department of Health and Human Services. With the rapid development of mobile technologies, mobile apps have the potential to improve participation rates in exercise programs, particularly if they are evidence-based and are of sufficient content quality. Objective The goal of this study was to develop and test an instrument, which was designed to score the content quality of exercise program apps with respect to the exercise guidelines set forth by the American College of Sports Medicine (ACSM). Methods We conducted two focus groups (N=14) to elicit input for developing a preliminary 27-item scoring instruments based on the ACSM exercise prescription guidelines. Three reviewers who were no sports medicine experts independently scored 28 exercise program apps using the instrument. Inter- and intra-rater reliability was assessed among the 3 reviewers. An expert reviewer, a Fellow of the ACSM, also scored the 28 apps to create criterion scores. Criterion validity was assessed by comparing nonexpert reviewers’ scores to the criterion scores. Results Overall, inter- and intra-rater reliability was high with most coefficients being greater than .7. Inter-rater reliability coefficients ranged from .59 to .99, and intra-rater reliability coefficients ranged from .47 to 1.00. All reliability coefficients were statistically significant. Criterion validity was found to be excellent, with the weighted kappa statistics ranging from .67 to .99, indicating a substantial agreement between the scores of expert and nonexpert reviewers. Finally, all apps scored poorly against the ACSM exercise prescription guidelines. None of the apps received a score greater than 35, out of a possible maximal score of 70. Conclusions

  11. Map of decentralised energy potential based on renewable energy sources in Croatia

    International Nuclear Information System (INIS)

    Schneider, D. R.; Ban, M.; Duic, N.; Bogdan, Z.

    2005-01-01

    Although the Republic of Croatia is almost completely electrified there are still regions where electricity network is not in place or network capacity is insufficient. These regions usually include areas of special state care (underdeveloped, war-affected or depopulated areas), islands, and mountainous areas. However, they often have good renewable energy potential. Decentralised energy generation based on renewable energy sources (wind power, hydropower, solar energy, biomass) has potential to ensure energy supply to users in remote and often isolated rural areas (off-grid applications). Such applications will primarily be related to tourism business in mountainous, rural and island/coastal regions. Also, agriculture, wood-processing and food-processing industries will potentially be interested in application of decentralised energy generation systems, most likely those using biomass as fuel (for example cogeneration facilities, connected on-grid).(author)

  12. An Energy Efficiency Evaluation Method Based on Energy Baseline for Chemical Industry

    Directory of Open Access Journals (Sweden)

    Dong-mei Yao

    2016-01-01

    Full Text Available According to the requirements and structure of ISO 50001 energy management system, this study proposes an energy efficiency evaluation method based on energy baseline for chemical industry. Using this method, the energy plan implementation effect in the processes of chemical production can be evaluated quantitatively, and evidences for system fault diagnosis can be provided. This method establishes the energy baseline models which can meet the demand of the different kinds of production processes and gives the general solving method of each kind of model according to the production data. Then the energy plan implementation effect can be evaluated and also whether the system is running normally can be determined through the baseline model. Finally, this method is used on cracked gas compressor unit of ethylene plant in some petrochemical enterprise; it can be proven that this method is correct and practical.

  13. School-based assessments in high-stakes examinations in Bhutan: a question of trust? : exploring inconsistencies between external exam scores, school-based assessments, detailed teacher ratings, and student self-ratings

    NARCIS (Netherlands)

    Luyten, Johannes W.; Dolkar, Dechen

    2010-01-01

    This study explores the validity of school-based assessments when they serve to supplement scores on central tests in high-stakes examinations. The school-based continuous assessment (CA) marks are compared to the marks scored on the central written Bhutan Certificate of Secondary Education (BCSE)

  14. Energy Harvesting Based Body Area Networks for Smart Health.

    Science.gov (United States)

    Hao, Yixue; Peng, Limei; Lu, Huimin; Hassan, Mohammad Mehedi; Alamri, Atif

    2017-07-10

    Body area networks (BANs) are configured with a great number of ultra-low power consumption wearable devices, which constantly monitor physiological signals of the human body and thus realize intelligent monitoring. However, the collection and transfer of human body signals consume energy, and considering the comfort demand of wearable devices, both the size and the capacity of a wearable device's battery are limited. Thus, minimizing the energy consumption of wearable devices and optimizing the BAN energy efficiency is still a challenging problem. Therefore, in this paper, we propose an energy harvesting-based BAN for smart health and discuss an optimal resource allocation scheme to improve BAN energy efficiency. Specifically, firstly, considering energy harvesting in a BAN and the time limits of human body signal transfer, we formulate the energy efficiency optimization problem of time division for wireless energy transfer and wireless information transfer. Secondly, we convert the optimization problem into a convex optimization problem under a linear constraint and propose a closed-form solution to the problem. Finally, simulation results proved that when the size of data acquired by the wearable devices is small, the proportion of energy consumed by the circuit and signal acquisition of the wearable devices is big, and when the size of data acquired by the wearable devices is big, the energy consumed by the signal transfer of the wearable device is decisive.

  15. Energy Harvesting Based Body Area Networks for Smart Health

    Directory of Open Access Journals (Sweden)

    Yixue Hao

    2017-07-01

    Full Text Available Body area networks (BANs are configured with a great number of ultra-low power consumption wearable devices, which constantly monitor physiological signals of the human body and thus realize intelligent monitoring. However, the collection and transfer of human body signals consume energy, and considering the comfort demand of wearable devices, both the size and the capacity of a wearable device’s battery are limited. Thus, minimizing the energy consumption of wearable devices and optimizing the BAN energy efficiency is still a challenging problem. Therefore, in this paper, we propose an energy harvesting-based BAN for smart health and discuss an optimal resource allocation scheme to improve BAN energy efficiency. Specifically, firstly, considering energy harvesting in a BAN and the time limits of human body signal transfer, we formulate the energy efficiency optimization problem of time division for wireless energy transfer and wireless information transfer. Secondly, we convert the optimization problem into a convex optimization problem under a linear constraint and propose a closed-form solution to the problem. Finally, simulation results proved that when the size of data acquired by the wearable devices is small, the proportion of energy consumed by the circuit and signal acquisition of the wearable devices is big, and when the size of data acquired by the wearable devices is big, the energy consumed by the signal transfer of the wearable device is decisive.

  16. Energy and mass-analyzer based on two plane capacitors

    International Nuclear Information System (INIS)

    Zashkvara, V.V.; Shestakov, V.P.; AN Kazakhskoj SSR, Alma-Ata. Inst. Yadernoj Fiziki)

    1983-01-01

    An energy and mass-analyzer of charged particle beams consisting of two plane capacitors has been calculated. Energy analysis is performed in the statistical regime, mass analysis - in the regime of time of flight measurement. Focusing in the time-of-flight is performed both according to an angle of beam divergence and to energy. Different modes of energy and mass analyzer operation were considered. In the first mode the energy analysis of a charged particle beam escaping a linearly extended source is accomplished and the energy distribution function N(W) is measured. In the second mode energy analysis and time-of-flight mass analysis of the charged particle beam are performed which permits to measure the spectral distribution function N(W, m) both in masses and energy. In the third mode the time-of-flight mass analysis of the beam is accomplished which enables to measure integral with respect to energy distribution function N(m) in masses. So, the simple device based on two plane capacitors can considerably improve the possibilities of the energy and mass analysis of charged particle beams emitted with linearly extended sources

  17. Assessing of energy policies based on Turkish agriculture:

    International Nuclear Information System (INIS)

    Sayin, Cengiz; Nisa Mencet, M.; Ozkan, Burhan

    2005-01-01

    In this study, the current energy status of Turkey and the effects of national energy policies on Turkish agricultural support policies are discussed for both current and future requirements. Turkey is an energy-importing country producing 30 mtoe (million tons of oil equivalent) energy but consuming 80 mtoe. The energy import ratio of Turkey is 65-70% and the majority of this import is based on petroleum and natural gas. Furthermore, while world energy demand increases by 1.8% annually, Turkey's energy demand increases by about 8%. Although energy consumption in agriculture is much lower than the other sectors in Turkey, energy use as both input and output of agricultural sector is a very important issue due to its large agricultural potential and rural area. Total agricultural land area is 27.8 million hectares and about 66.5% of this area is devoted for cereal production. On the other hand, Turkey has over 4 million agricultural farm holdings of which 70-75% is engaged in cereal production. Machinery expenses, mainly diesel, constitute 30-50% of total variable expenses in cereal production costs. It is observed that energy policies pursued in agriculture have been directly affected by diesel prices in Turkey. Therefore, support policy tools for using diesel and electricity in agriculture are being pursued by the Turkish government

  18. Body condition score as a selection tool for targeted selective treatment-based nematode control strategies in Merino ewes.

    Science.gov (United States)

    Cornelius, M P; Jacobson, C; Besier, R B

    2014-12-15

    Sheep nematode control utilising refugia-based strategies have been shown to delay anthelmintic resistance, but the optimal indices to select individuals to be left untreated under extensive sheep grazing conditions are not clear. This experiment tested the hypothesis that high body condition can indicate ability of mature sheep to better cope with worms and therefore remain untreated in a targeted treatment programme. Adult Merino ewes from flocks on two private farms located in south-west Western Australia (Farm A, n = 271, and Farm B, n = 258) were measured for body condition score (BCS), body weight and worm egg counts (WEC) on four occasions between May and December (pre-lambing, lamb marking, lamb weaning and post-weaning). Half of the ewes in each flock received anthelmintic treatments to suppress WEC over the experimental period and half remained untreated (unless critical limits were reached). Response to treatment was analysed in terms of BCS change and percentage live weight change. No effect of high or low initial WEC groups was shown for BCS response, and liveweight responses were inconsistent. A relatively greater BCS response to treatment was observed in ewes in low BCS pre-lambing compared to better-conditioned ewes on one farm where nutrition was sub-optimal and worm burdens were high. Sheep in low body condition pre-lambing were more than three times more likely to fall into a critically low BCS (<2.0) if left untreated. Recommendations can be made to treat ewes in lower BCS and leave a proportion of the higher body condition sheep untreated in a targeted selective treatment programme, to provide a population of non-resistant worms to delay the development of resistance. Copyright © 2014 Elsevier B.V. All rights reserved.

  19. Lymphocyte-Related Inflammation and Immune-Based Scores Predict Prognosis of Chordoma Patients After Radical Resection

    Directory of Open Access Journals (Sweden)

    Wenhao Hu

    2018-04-01

    Full Text Available The inflammatory microenvironment plays a critical role in the development and progression of malignancies. In the present study, we aimed to evaluate the prognostic value of lymphocyte-related inflammation and immune-based prognostic scores in patients with chordoma after radical resection, including the neutrophil-lymphocyte ratio (NLR, platelet-lymphocyte ratio (PLR, monocyte-lymphocyte ratio (MLR, and systemic immune-inflammation index (SII. A total of 172 consecutive patients with chordoma who underwent radical resection were reviewed. R software was used to randomly select 86 chordoma patients as a training set and 86 chordoma patients as a validation set. Potential prognostic factors were also identified, including age, sex, tumor localization, KPS, Enneking stage, tumor size, and tumor metastasis. Overall survival (OS was calculated using the Kaplan–Meier method and multivariate Cox regression analyses. NLR, PLR, SII, Enneking stage, tumor differentiation and tumor metastasis were identified as significant factors from the univariate analysis in both the training and validation sets and were subjected to multivariate Cox proportional hazards analysis. The univariate analysis showed that NLR ≥1.65, PLR ≥121, and SII ≥370×109/L were significantly associated with poor OS. In the multivariate Cox proportional hazard analysis, SII, Enneking stage and tumor metastasis were significantly associated with OS. As noninvasive, low-cost, reproducible prognostic biomarkers, NLR, PLR and SII could help predict poor prognosis in patients with chordoma after radical resection. This finding may contribute to the development of more effective tailored therapy according to the characteristics of individual tumors.

  20. Computed tomographic findings in dogs with head trauma and development of a novel prognostic computed tomography-based scoring system.

    Science.gov (United States)

    Chai, Orit; Peery, Dana; Bdolah-Abram, Tali; Moscovich, Efrat; Kelmer, Efrat; Klainbart, Sigal; Milgram, Joshua; Shamir, Merav H

    2017-09-01

    OBJECTIVE To characterize CT findings and outcomes in dogs with head trauma and design a prognostic scale. ANIMALS 27 dogs admitted to the Koret School Veterinary Teaching Hospital within 72 hours after traumatic head injury that underwent CT imaging of the head. PROCEDURES Data were extracted from medical records regarding dog signalment, history, physical and neurologic examination findings, and modified Glasgow coma scale scores. All CT images were retrospectively evaluated by a radiologist unaware of dog status. Short-term (10 days after trauma) and long-term (≥ 6 months after trauma) outcomes were determined, and CT findings and other variables were analyzed for associations with outcome. A prognostic CT-based scale was developed on the basis of the results. RESULTS Cranial vault fractures, parenchymal abnormalities, or both were identified via CT in 24 of 27 (89%) dogs. Three (11%) dogs had only facial bone fractures. Intracranial hemorrhage was identified in 16 (59%) dogs, cranial vault fractures in 15 (56%), midline shift in 14 (52%), lateral ventricle asymmetry in 12 (44%), and hydrocephalus in 7 (26%). Hemorrhage and ventricular asymmetry were significantly and negatively associated with short- and long-term survival, respectively. The developed 7-point prognostic scale included points for hemorrhage, midline shift or lateral ventricle asymmetry, cranial vault fracture, and depressed fracture (1 point each) and infratentorial lesion (3 points). CONCLUSIONS AND CLINICAL RELEVANCE The findings reported here may assist in determining prognoses for other dogs with head trauma. The developed scale may be useful for outcome assessment of dogs with head trauma; however, it must be validated before clinical application.

  1. Robust wafer identification recognition based on asterisk-shape filter and high-low score comparison method.

    Science.gov (United States)

    Hsu, Wei-Chih; Yu, Tsan-Ying; Chen, Kuan-Liang

    2009-12-10

    Wafer identifications (wafer ID) can be used to identify wafers from each other so that wafer processing can be traced easily. Wafer ID recognition is one of the problems of optical character recognition. The process to recognize wafer IDs is similar to that used in recognizing car license-plate characters. However, due to some unique characteristics, such as the irregular space between two characters and the unsuccessive strokes of wafer ID, it will not get a good result to recognize wafer ID by directly utilizing the approaches used in car license-plate character recognition. Wafer ID scratches are engraved by a laser scribe almost along the following four fixed directions: horizontal, vertical, plus 45 degrees , and minus 45 degrees orientations. The closer to the center line of a wafer ID scratch, the higher the gray level will be. These and other characteristics increase the difficulty to recognize the wafer ID. In this paper a wafer ID recognition scheme based on an asterisk-shape filter and a high-low score comparison method is proposed to cope with the serious influence of uneven luminance and make recognition more efficiently. Our proposed approach consists of some processing stages. Especially in the final recognition stage, a template-matching method combined with stroke analysis is used as a recognizing scheme. This is because wafer IDs are composed of Semiconductor Equipment and Materials International (SEMI) standard Arabic numbers and English alphabets, and thus the template ID images are easy to obtain. Furthermore, compared with the approach that requires prior training, such as a support vector machine, which often needs a large amount of training image samples, no prior training is required for our approach. The testing results show that our proposed scheme can efficiently and correctly segment out and recognize the wafer ID with high performance.

  2. A new assessment method of new energy in regional sustainable development based on hesitant fuzzy information

    Directory of Open Access Journals (Sweden)

    Hongdi Yao

    2014-10-01

    Full Text Available Purpose: The new energy has been an important driving force in region sustainable development. It is a critical issue to evaluate the role of new energy in region sustainable development.Design/methodology/approach: To deal with this issue, this paper proposes a new score function, in which, both mean and variance are considered. Then it introduces the basic operators, such as hesitant fuzzy weighted averaging operator and hesitant fuzzy weighted geometric operator to get the comprehensive assessment provided by the decision maker on each attribute.Findings: Due to the drawbacks of existing methods with hesitant fuzzy information, this paper puts forward a method and the procedure to solve the MADM (multiple attribute decision making problem. And an illustrative example is demonstrated to verify the reliability of the proposed method.Research limitations/implications: The method can be used to evaluate the new energy in regional sustainable development, but it cannot solve the problems with many experts.Practical implications: Based on the new framework, a case study is carried out to verify its applicability and validity. The research can fill the gaps for the assessment framework of new energy in regional sustainable development. This paper is of practical value in real life, which is the application of some techniques.Originality/value: This paper describes in detail in evaluating the role of new energy in region sustainable development. And a new score function is proposed with hesitant fuzzy information, that is, the idea of variance is introduced to form a new score function to measure the deviation of hesitant fuzzy elements. Meanwhile, the basic operator, such as hesitant fuzzy weighted averaging operator and hesitant fuzzy weighted geometric operator are introduced to integrate the hesitant fuzzy information.

  3. Harvesting energy: Place and local entrepreneurship in community-based renewable energy transition

    International Nuclear Information System (INIS)

    Süsser, Diana; Döring, Martin; Ratter, Beate M.W.

    2017-01-01

    Transition towards a renewable energy supply initiates a physical (re)shaping of places and a social transformation of communities into renewable energy communities. Although socio-cultural challenges of energy transition have been recognised (), understandings about socio-geographic places of energy transition and their underlying social processes and structures are insufficiently studied and often remain underestimated. To close this gap, we theoretically and empirically analysed the multifaceted interplay between place, local entrepreneurship and ‘community renewable energy’. Our study is based on an analysis of regional documents and policy reports, and on qualitative interviews undertaken with inhabitants in the case-study municipality of Reußenköge (Germany). Our findings reveal two important aspects: Firstly, people's individual and shared place meanings which materialised in social, physical, historical and climate-related place-attachments and meanings of contested and innovative place are important ingredients bearing an impact on processes of adopting or rejecting renewables. Secondly, differentiated characteristics of entrepreneurs, namely grounded, collaborative, innovative, change-making, economic, communicating, networking and political aspects, appeared to be relevant for the acceptance and support in community-based renewable energy projects. Our findings reveal that energy policies, funding schemes and administrative structures should recognise local socio-geographic important elements in the context of a sustained and decentralised energy transition. - Highlights: • Places are resources of experiences, creativity and innovation for community renewables. • Energy policies should recognise place-based approaches to grassroots community energy actions. • A located view of multifaceted entrepreneurship is relevant to support community renewable energy. • Supportive funding schemes should empower community-based concepts.

  4. Simulation-based optimization of sustainable national energy systems

    International Nuclear Information System (INIS)

    Batas Bjelić, Ilija; Rajaković, Nikola

    2015-01-01

    The goals of the EU2030 energy policy should be achieved cost-effectively by employing the optimal mix of supply and demand side technical measures, including energy efficiency, renewable energy and structural measures. In this paper, the achievement of these goals is modeled by introducing an innovative method of soft-linking of EnergyPLAN with the generic optimization program (GenOpt). This soft-link enables simulation-based optimization, guided with the chosen optimization algorithm, rather than manual adjustments of the decision vectors. In order to obtain EnergyPLAN simulations within the optimization loop of GenOpt, the decision vectors should be chosen and explained in GenOpt for scenarios created in EnergyPLAN. The result of the optimization loop is an optimal national energy master plan (as a case study, energy policy in Serbia was taken), followed with sensitivity analysis of the exogenous assumptions and with focus on the contribution of the smart electricity grid to the achievement of EU2030 goals. It is shown that the increase in the policy-induced total costs of less than 3% is not significant. This general method could be further improved and used worldwide in the optimal planning of sustainable national energy systems. - Highlights: • Innovative method of soft-linking of EnergyPLAN with GenOpt has been introduced. • Optimal national energy master plan has been developed (the case study for Serbia). • Sensitivity analysis on the exogenous world energy and emission price development outlook. • Focus on the contribution of smart energy systems to the EU2030 goals. • Innovative soft-linking methodology could be further improved and used worldwide.

  5. Correlation of phantom‐based and log file patient‐specific QA with complexity scores for VMAT

    Science.gov (United States)

    Agnew, Christina E.; Irvine, Denise M.

    2014-01-01

    The motivation for this study was to reduce physics workload relating to patient‐specific quality assurance (QA). VMAT plan delivery accuracy was determined from analysis of pre‐ and on‐treatment trajectory log files and phantom‐based ionization chamber array measurements. The correlation in this combination of measurements for patient‐specific QA was investigated. The relationship between delivery errors and plan complexity was investigated as a potential method to further reduce patient‐specific QA workload. Thirty VMAT plans from three treatment sites — prostate only, prostate and pelvic node (PPN), and head and neck (H&N) — were retrospectively analyzed in this work. The 2D fluence delivery reconstructed from pretreatment and on‐treatment trajectory log files was compared with the planned fluence using gamma analysis. Pretreatment dose delivery verification was also carried out using gamma analysis of ionization chamber array measurements compared with calculated doses. Pearson correlations were used to explore any relationship between trajectory log file (pretreatment and on‐treatment) and ionization chamber array gamma results (pretreatment). Plan complexity was assessed using the MU/ arc and the modulation complexity score (MCS), with Pearson correlations used to examine any relationships between complexity metrics and plan delivery accuracy. Trajectory log files were also used to further explore the accuracy of MLC and gantry positions. Pretreatment 1%/1 mm gamma passing rates for trajectory log file analysis were 99.1% (98.7%–99.2%), 99.3% (99.1%–99.5%), and 98.4% (97.3%–98.8%) (median (IQR)) for prostate, PPN, and H&N, respectively, and were significantly correlated to on‐treatment trajectory log file gamma results (R=0.989,plog file gamma results (R=0.623,p0.57,plog file fluence delivery and ionization chamber array measurements were strongly correlated with on‐treatment trajectory log file fluence delivery. The strong

  6. Z-scores-based methods and their application to biological monitoring: an example in professional soccer players.

    Science.gov (United States)

    Saulière, Guillaume; Dedecker, Jérôme; Marquet, Laurie-Anne; Rochcongar, Pierre; Toussaint, Jean-Francois; Berthelot, Geoffroy

    2017-11-15

    The clinical and biological follow-up of individuals, such as the biological passport for athletes, is typically based on the individual and longitudinal monitoring of hematological or urine markers. These follow-ups aim to identify abnormal behavior by comparing the individual's biological samples to an established baseline. These comparisons may be done via different ways, but each of them requires an appropriate extra population to compute the significance levels, which is a non-trivial issue. Moreover, it is not necessarily relevant to compare the measures of a biomarker of a professional athlete to that of a reference population (even restricted to other athletes), and a reasonable alternative is to detect the abnormal values by considering only the other measurements of the same athlete. Here we propose a simple adaptive statistic based on maxima of Z-scores that does not rely on the use of an extra population. We show that, in the Gaussian framework, it is a practical and relevant method for detecting abnormal values in a series of observations from the same individual. The distribution of this statistic does not depend on the individual parameters under the null hypothesis, and its quantiles can be computed using Monte Carlo simulations. The proposed method is tested on the 3-year follow-up of ferritin, serum iron, erythrocytes, hemoglobin, and hematocrit markers in 2577 elite male soccer players. For instance, if we consider the abnormal values for the hematocrit at a 5% level, we found that 5.57% of the selected cohort had at least one abnormal value (which is not significantly different from the expected false-discovery rate). The approach is a starting point for more elaborate models that would produce a refined individual baseline. The method can be extended to the Gaussian linear model, in order to include additional variables such as the age or exposure to altitude. The method could also be applied to other domains, such as the clinical patient

  7. Prediction Based Energy Balancing Forwarding in Cellular Networks

    Directory of Open Access Journals (Sweden)

    Yang Jian-Jun

    2017-01-01

    Full Text Available In the recent cellular network technologies, relay stations extend cell coverage and enhance signal strength for mobile users. However, busy traffic makes the relay stations in hot area run out of energy quickly. Energy is a very important factor in the forwarding of cellular network since mobile users(cell phones in hot cells often suffer from low throughput due to energy lack problems. In many situations, the energy lack problems take place because the energy loading is not balanced. In this paper, we present a prediction based forwarding algorithm to let a mobile node dynamically select the next relay station with highest potential energy capacity to resume communication. Key to this strategy is that a relay station only maintains three past status, and then it is able to predict the potential energy capacity. Then, the node selects the next hop with potential maximal energy. Moreover, a location based algorithm is developed to let the mobile node figure out the target region in order to avoid flooding. Simulations demonstrate that our approach significantly increase the aggregate throughput and decrease the delay in cellular network environment.

  8. Energy Management in Smart Cities Based on Internet of Things: Peak Demand Reduction and Energy Savings.

    Science.gov (United States)

    Mahapatra, Chinmaya; Moharana, Akshaya Kumar; Leung, Victor C M

    2017-12-05

    Around the globe, innovation with integrating information and communication technologies (ICT) with physical infrastructure is a top priority for governments in pursuing smart, green living to improve energy efficiency, protect the environment, improve the quality of life, and bolster economy competitiveness. Cities today faces multifarious challenges, among which energy efficiency of homes and residential dwellings is a key requirement. Achieving it successfully with the help of intelligent sensors and contextual systems would help build smart cities of the future. In a Smart home environment Home Energy Management plays a critical role in finding a suitable and reliable solution to curtail the peak demand and achieve energy conservation. In this paper, a new method named as Home Energy Management as a Service (HEMaaS) is proposed which is based on neural network based Q -learning algorithm. Although several attempts have been made in the past to address similar problems, the models developed do not cater to maximize the user convenience and robustness of the system. In this paper, authors have proposed an advanced Neural Fitted Q -learning method which is self-learning and adaptive. The proposed method provides an agile, flexible and energy efficient decision making system for home energy management. A typical Canadian residential dwelling model has been used in this paper to test the proposed method. Based on analysis, it was found that the proposed method offers a fast and viable solution to reduce the demand and conserve energy during peak period. It also helps reducing the carbon footprint of residential dwellings. Once adopted, city blocks with significant residential dwellings can significantly reduce the total energy consumption by reducing or shifting their energy demand during peak period. This would definitely help local power distribution companies to optimize their resources and keep the tariff low due to curtailment of peak demand.

  9. Energy Management in Smart Cities Based on Internet of Things: Peak Demand Reduction and Energy Savings

    Directory of Open Access Journals (Sweden)

    Chinmaya Mahapatra

    2017-12-01

    Full Text Available Around the globe, innovation with integrating information and communication technologies (ICT with physical infrastructure is a top priority for governments in pursuing smart, green living to improve energy efficiency, protect the environment, improve the quality of life, and bolster economy competitiveness. Cities today faces multifarious challenges, among which energy efficiency of homes and residential dwellings is a key requirement. Achieving it successfully with the help of intelligent sensors and contextual systems would help build smart cities of the future. In a Smart home environment Home Energy Management plays a critical role in finding a suitable and reliable solution to curtail the peak demand and achieve energy conservation. In this paper, a new method named as Home Energy Management as a Service (HEMaaS is proposed which is based on neural network based Q-learning algorithm. Although several attempts have been made in the past to address similar problems, the models developed do not cater to maximize the user convenience and robustness of the system. In this paper, authors have proposed an advanced Neural Fitted Q-learning method which is self-learning and adaptive. The proposed method provides an agile, flexible and energy efficient decision making system for home energy management. A typical Canadian residential dwelling model has been used in this paper to test the proposed method. Based on analysis, it was found that the proposed method offers a fast and viable solution to reduce the demand and conserve energy during peak period. It also helps reducing the carbon footprint of residential dwellings. Once adopted, city blocks with significant residential dwellings can significantly reduce the total energy consumption by reducing or shifting their energy demand during peak period. This would definitely help local power distribution companies to optimize their resources and keep the tariff low due to curtailment of peak demand.

  10. Long-term outcome in term breech infants with low Apgar score--a population-based follow-up

    DEFF Research Database (Denmark)

    Krebs, L; Langhoff-Roos, J; Thorngren-Jerneck, K

    2001-01-01

    OBJECTIVE: To investigate the relation between low Apgar score in breech infants and handicap in childhood. STUDY DESIGN: A case-control study. A questionnaire to mothers of 323 non-malformed, singleton infants delivered in breech presentation at term, 105 cases with Apgar score below 7 at 5 min...... and 218 controls. RESULTS: Four cases (4.6%) and one control (0.5%) had cerebral palsy. In infants without cerebral palsy, speech/language problems were more frequent than controls (10.6 versus 3.2%) (P=0.02). There were no differences in rates of deficits in attention, motor control and perception (DAMP......), epilepsy, cognitive developmental delay or learning disabilities. Absence of any handicap or disability was reported in 65 cases (75%) compared to 172 controls (92%) (OR: 3.9; 95% CI: 1.9-7.9). CONCLUSION: Even though low Apgar score indicates an increased risk of neurological sequelae, most (75%) breech...

  11. Lower urinary tract conditions in children with attention deficit hyperactivity disorder: correlation of symptoms based on validated scoring systems.

    Science.gov (United States)

    Burgu, Berk; Aydogdu, Ozgu; Gurkan, Kagan; Uslu, Runa; Soygur, Tarkan

    2011-02-01

    We investigated whether certain voiding problems have a higher incidence in patients with attention deficit disorder with hyperactivity compared to age matched controls. We used the Conners Parent Rating Scale-revised for attention deficit disorder with hyperactivity and lower urinary tract symptom score to evaluate voiding problems. A total of 62 children with attention deficit disorder and 124 healthy controls were enrolled. We evaluated uroflowmetry patterns in both groups. Residual urine volumes and Bristol stool scale were noted. We examined the correlation between total Conners Parent Rating Scale-revised and lower urinary tract symptom score in patients with attention deficit disorder. Additionally we analyzed each index of the Conners Parent Rating Scale-revised separately in terms of correlation with symptom subgroups for lower urinary tract symptom scores. Mean ± SD total lower urinary tract symptom score was 11.1 ± 2.9 in patients with attention deficit disorder with hyperactivity and 3.2 ± 1.3 in controls, a difference that was statistically significantly (p Scale-revised. If a child with attention deficit disorder has a high index in the Conners Parent Rating Scale-revised, he or she is more likely to have urgency. Also, if a child with attention deficit disorder has a high hyperactivity subscale score, he or she is more likely to have enuresis. Voiding problems are more common in children with attention deficit disorder with hyperactivity than in age matched controls. Urgency and enuresis are the outstanding problems in children with attention deficit disorder. Simultaneous use of the Conners Parent Rating Scale-revised and lower urinary tract symptom score questionnaire should be encouraged in patients with attention deficit disorder to allow a structured and quantitative evaluation of these overlapping problems. Copyright © 2011 American Urological Association Education and Research, Inc. Published by Elsevier Inc. All rights reserved.

  12. Energy Cooperation in Ultradense Network Powered by Renewable Energy Based on Cluster and Learning Strategy

    Directory of Open Access Journals (Sweden)

    Chunhong Duo

    2017-01-01

    Full Text Available A new method about renewable energy cooperation among small base stations (SBSs is proposed, which is for maximizing the energy efficiency in ultradense network (UDN. In UDN each SBS is equipped with energy harvesting (EH unit, and the energy arrival times are modeled as a Poisson counting process. Firstly, SBSs of large traffic demands are selected as the clustering centers, and then all SBSs are clustered using dynamic k-means algorithm. Secondly, SBSs coordinate their renewable energy within each formed cluster. The process of energy cooperation among SBSs is considered as Markov decision process. Q-learning algorithm is utilized to optimize energy cooperation. In the algorithm there are four different actions and their corresponding reward functions. Q-learning explores the action as much as possible and predicts better action by calculating reward. In addition, ε greedy policy is used to ensure the algorithm convergence. Finally, simulation results show that the new method reduces data dimension and improves calculation speed, which furthermore improves the utilization of renewable energy and promotes the performance of UDN. Through online optimization, the proposed method can significantly improve the energy utilization rate and data transmission rate.

  13. Need-based nutritional intervention is effective in improving handgrip strength and Barthel Index scores of older people living in a nursing home: a randomized controlled trial.

    Science.gov (United States)

    Lee, Li-Chin; Tsai, Alan C; Wang, Jiun-Yi

    2015-05-01

    Nutritional status is associated with physical functioning in older people. Protein-energy malnutrition can limit functional performance. This study examined the effectiveness of a "need-based intervention" on improving the physical functioning of older adults living in nursing homes. A 24-week randomized, double-blind, controlled trial. A privately managed geriatric nursing home in Taiwan. Ninety-two persons who were ≥65 years old, ≤25 kg/m(2), >1 month residence, non-bed-ridden, without acute infection, and able to self-feed or receive oral feeding. Qualified participants were stratified by gender and then randomly assigned to either the control group (n=45) or the intervention group (n=47). Each participant in the intervention group would receive a 50 g/day soy-protein-based nutritional supplement when he/she was rated as undernourished, defined as Mini Nutritional Assessment score ≤24 and body mass index ≤24 kg/m(2). The supplement contained 9.5 g protein, 250 kcal energy, and all essential micronutrients. The supplementation would be suspended if either one of the two "at risk" conditions was not met at the next measurement (every 4 weeks). Handgrip strength and Barthel Index were measured at baseline, mid-point (week 12), and end-point (week 24) of the trial. Results were analyzed with Student's t-test and by the Generalized Estimating Equations controlled for nutritional status. The intervention significantly improved (a) handgrip strength of the older adults at weeks 12 and 24, and (b) the overall Barthel Index at week 24 (all pintervention" can be an effective and useful strategy for improving the physical functioning of older adults living in nursing homes, without adverse effects. The results probably are the indirect results of the improved nutritional status. The study highlights the importance of routine screening and timely intervention in geriatric care. The applicability of this need-based strategy to community-living older adults is an

  14. Market Mechanism Design for Renewable Energy based on Risk Theory

    Science.gov (United States)

    Yang, Wu; Bo, Wang; Jichun, Liu; Wenjiao, Zai; Pingliang, Zeng; Haobo, Shi

    2018-02-01

    Generation trading between renewable energy and thermal power is an efficient market means for transforming supply structure of electric power into sustainable development pattern. But the trading is hampered by the output fluctuations of renewable energy and the cost differences between renewable energy and thermal power at present. In this paper, the external environmental cost (EEC) is defined and the EEC is introduced into the generation cost. At same time, the incentive functions of renewable energy and low-emission thermal power are designed, which are decreasing functions of EEC. On these bases, for the market risks caused by the random variability of EEC, the decision-making model of generation trading between renewable energy and thermal power is constructed according to the risk theory. The feasibility and effectiveness of the proposed model are verified by simulation results.

  15. A New Hybrid Bathroom System Based on Energy Saving Concept

    Directory of Open Access Journals (Sweden)

    Cui Bo-wen

    2016-01-01

    Full Text Available Based on the characteristics of hot water supply in bathroom, this article proposes a new hybrid energy hot water supply system. The programmable logic controller(PLC as the master controller was adopted in this system, which could automatically detect and storage main thermal physical of the system, such as temperature, water level, solar radiation intensity, power consumption and so on. The active thermal utilization technology of solar energy, air-source heat pump technology, solar energy intensive natural ventilation technology and low temperature hot water floor radiant heating technology were organically integrated in this system, which has the advantages of energy conservation and environment protection, high automation, safe and reliable operation, etc. At the same time, it can make good use of electric power cost between on-peak and off-peak, and promote the optimal allocation of power resources and reduce the cost, which can achieve the goal of intelligent control and energy saving.

  16. Evaluation of multiple-scoring system for non-alcoholic fatty liver patients based on CK18 levels, lipid profile and liver enzymes

    Directory of Open Access Journals (Sweden)

    Nahid Teimouri

    2017-04-01

    Full Text Available Background: Non-alcoholic fatty liver disease (NAFLD, the most common liver disease is usually associated with conditions such as steatosis, steatohepatitis and cirrhosis. Liver biopsy, which is the reference, gold standard and invasive method for the diagnosis of the disease may have complications. Scoring systems are among the noninvasive diagnostic methods. Numerous noninvasive scoring systems based on routinely measured clinical and laboratory parameters were provided that identifies the steatosis and advanced fibrosis in patients with NAFLD. In this study, several scoring system in patients with NAFLD were evaluated. Materials and Methods: This case-control study was carried out on sonographically established NAFLD (n=51 patients and healthy individuals (n=30. Anthropometric factors, biochemical tests and CK-18 fragment levels were evaluated. Then the scores for hepatic steatosis index, fatty liver index, aspartate aminotransferase (AST to platelets ratio index (APRI were calculated. In addition, the BARD and (non-alcoholic steatohepatitis (NASH scores were calculated. Results: In this study, as expected, except for FIB-4, there was no significant difference between the two groups. Conclusions: Scoring systems examined in this study can help to predict the presence or absence of fibrosis and NAFLD or NASH.

  17. Present status of severe head injured patients with an admission glasgow coma scale score of 3 based on the Japan neurotrauma data bank

    International Nuclear Information System (INIS)

    Uzura, Masahiko

    2011-01-01

    Severe head injured patients presenting with Glasgow Coma Scale (GCS) score of 3 have been hesitated to treat aggressively. We analyzed present status of patients with GCS score of 3 from the Project 2004 in the Japan Neurotrauma Data Bank. Among 1,101 cases registered, 805 cases with GCS score of 8 or less on admission. Of those, 215 cases with GCS score of 3 were classified the survival group (51 cases) and the dead group (164 cases) and compared each group. These results showed that the characteristics associated with favorable outcome including absence of cardiopulmonary arrest, no abnormality of pupil findings, stable condition of respiration and circulation, serum glucose level (less than 184 mg/dl), absence of initial CT findings including skull base fracture, pneumocephalus and subarachnoid hemorrhage, no serious extracranial injures including Injury Severity Scale score of less than 25, critic al care including intracranial pressure monitoring and temperature management. We suggest that it is important to treat brain and systemic problems aggressively in severe head injured patients with GCS score of 3. (author)

  18. Distribution-based estimates of clinically significant changes in the International Standards for Neurological Classification of Spinal Cord Injury motor and sensory scores.

    Science.gov (United States)

    Scivoletto, G; Tamburella, F; Laurenza, L; Molinari, M

    2013-06-01

    Although the psychometric properties and statistical significance of the International Standards for Neurological Classification of Spinal Cord Injury Patients (ISNCSCI) have been widely examined, the clinical significance of motor and sensory scores (i.e., the improvement in score that has a meaningful impact on patients) is unknown. To calculate the clinical significance of the International Standards for Neurological Classification of Spinal Cord Injury Patients (ISNCSCI). Analysis of prospectively collected data. Spinal Cord Unit of a rehabilitation hospital in the centre of Italy. Analysis of the data of 600 patients with registration of the ISNCSCI Motor scores (total score and separately upper and lower extremity scores) and ISNCSCI Sensory scores. Clinical significance was calculated per several distribution-based approaches: minimal important differences, effect size-based estimates for small and substantial changes, standard error of measurement, and minimal detectable change. The calculated clinical significance was compared with improvements by the patients to determine the percentage of patients who achieved significant improvement. Furthermore, the functional status (as evaluated by the Spinal Cord Independence measure [SCIM III]) was studied in patients who achieved significant improvement compared to those who did not achieve them. The results of the study showed that motor scores were more amenable to change than sensory scores. A 5-point change in motor score resulted in a clinically significant improvement of 0.2 standard deviation units, and an 11-point change in motor score was associated with an improvement of 0.5 standard deviation units. The percentages of patients with a significant improvement varied from 8 to 80% according to the level and severity of the lesion. In some AIS grade/level of lesion groups, patients who achieved clinical significant scores also showed a better functional status with significantly higher SCIM III scores than

  19. Did the Shift to Computer-Based Testing in PISA 2015 Affect Reading Scores? A View from East Asia

    Science.gov (United States)

    Komatsu, Hikaru; Rappleye, Jeremy

    2017-01-01

    In this Forum article, Komatsu and Rappleye report that the results of PISA 2015 released December 2016 revealed a major oddity: reading scores in several of the "leading" East Asian countries had apparently plummeted. An interesting point is that Japan, Taiwan, Korea and Hong Kong are among the most advanced technological societies in…

  20. Using "big data" to capture overall health status: properties and predictive value of a claims-based health risk score.

    Science.gov (United States)

    Hamad, Rita; Modrek, Sepideh; Kubo, Jessica; Goldstein, Benjamin A; Cullen, Mark R

    2015-01-01

    Investigators across many fields often struggle with how best to capture an individual's overall health status, with options including both subjective and objective measures. With the increasing availability of "big data," researchers can now take advantage of novel metrics of health status. These predictive algorithms were initially developed to forecast and manage expenditures, yet they represent an underutilized tool that could contribute significantly to health research. In this paper, we describe the properties and possible applications of one such "health risk score," the DxCG Intelligence tool. We link claims and administrative datasets on a cohort of U.S. workers during the period 1996-2011 (N = 14,161). We examine the risk score's association with incident diagnoses of five disease conditions, and we link employee data with the National Death Index to characterize its relationship with mortality. We review prior studies documenting the risk score's association with other health and non-health outcomes, including healthcare utilization, early retirement, and occupational injury. We find that the risk score is associated with outcomes across a variety of health and non-health domains. These examples demonstrate the broad applicability of this tool in multiple fields of research and illustrate its utility as a measure of overall health status for epidemiologists and other health researchers.

  1. Community Based Approach to Wind Energy Information Dissemination

    Energy Technology Data Exchange (ETDEWEB)

    Innis, S.

    2003-09-26

    The purpose of the Department of Energy's grant was to transfer to New Mexico and Utah a national award-winning market-based strategy to aggregate demand for wind energy. Their experiences over the past few years in New Mexico and utah have been quite different. In both states they have developed stronger relationships with utilities and policymakers which will increase the effectiveness of the future advocacy efforts.

  2. European Climate - Energy Security Nexus. A model based scenario analysis

    International Nuclear Information System (INIS)

    Criqui, Patrick; Mima, Silvana

    2011-01-01

    In this research, we have provided an overview of the climate-security nexus in the European sector through a model based scenario analysis with POLES model. The analysis underline that under stringent climate policies, Europe take advantage of a double dividend in its capacity to develop a new cleaner energy model and in lower vulnerability to potential shocks on the international energy markets. (authors)

  3. Energy Data Base: Subject categories and scope: A reference manual

    International Nuclear Information System (INIS)

    Grissom, M.C.

    1987-04-01

    The subject scope of the Energy Data Base (EDB) is defined, encompassing all technological aspects of energy production, conversion, and efficient utilization, and the economic, social, and political aspects as well. Coverage also includes the basic sciences as applicable. The subject areas within the scope of EDB are defined and hierarchically numbered, and scope notes are provided to define the extent of interest in certain areas, particularly areas of basic research

  4. European Climate - Energy Security Nexus. A model based scenario analysis

    Energy Technology Data Exchange (ETDEWEB)

    Criqui, Patrick; Mima, Silvana

    2011-01-15

    In this research, we have provided an overview of the climate-security nexus in the European sector through a model based scenario analysis with POLES model. The analysis underline that under stringent climate policies, Europe take advantage of a double dividend in its capacity to develop a new cleaner energy model and in lower vulnerability to potential shocks on the international energy markets. (authors)

  5. Autonomous Magneto-Cumulative Energy Source Based on Permanent Magnets

    Science.gov (United States)

    Gurin, V. E.; Boriskin, A. S.; Vlasov, Yu. V.; Golosov, S. N.; Dimant, E. M.; Demidov, V. A.; Kazakov, S. A.; Kazakova, N. R.; Klimashov, M. V.; Korolev, P. V.; Kutumov, S. V.; Pikar, A. S.; Romanov, A. P.; Shapovalov, E. V.; Shibitov, Yu. M.; Shchetnikov, E. I.; Yanenko, V. A.

    2006-08-01

    In the paper we describe a design of autonomous source of electromagnetic energy with initial field, created by permanent barium oxide magnets and present results of its tests. The energy source consists of magnetic system with initial energy of 1 J, helical magneto-cumulative generator with helix diameter of 50 mm, amplifying the field energy in 130 times, and transforming unit for a load matching. At peak power on helical generator of 66 MW, the voltage of 16 kV was obtained at inductive load of 40 μH. Weight of the energy autonomous source is 5 kg, HE-charge mass is 100 g. Several variants of magnetic systems were tested. Comparison of the magneto-cumulative generator operation, powered from permanent magnets and powered from capacitor bank was carried out. Optimizing the magnetic system with numerical methods the authors managed to get almost identical distribution of the fields in the generators. Finally, the generator based on permanent magnets operates and provides similar output characteristics as the generator powered from the capacitor bank. In contrast to other magneto-cumulative energy sources powered, for example, from an accumulator or piezo-generator, this source, based on permanent magnets, has higher specific energy characteristics, does not require any switching elements and always ready for operation.

  6. Microinstallations Based on Renewable Energy Sources in the Construction Sector

    Science.gov (United States)

    Kurzak, Lucjan

    2017-10-01

    The focus of this paper is on the status and prognoses of the use of microinstallations based on renewable energy sources to supply heat and power. The technologies that have been important in Europe and Poland for microgeneration of electricity include photovoltaic systems, micro wind turbines and co-generation systems. Solar collectors, heat pumps and biomass have also been used to generate heat. Microinstallations for renewable energy sources represent the initial point and the foundation for the development of micro networks, intelligent networks and the whole prosumer energy sector.

  7. Entirely renewable energy-based electricity supply system (small scale)

    Energy Technology Data Exchange (ETDEWEB)

    Zahedi, A. [Monash Univ., Caulfield (Australia). Div. of Electrical and Computer Systems Engineering

    1997-12-31

    This paper presents a system comprising of a renewable source of energy and an energy storage device to smooth the power fluctuations. In order to investigate the performance of the system, an exact mathematical model for the system has been developed. Because of non-linearity of the mathematical model a computational method is used for performance investigation of the system. The objective of the paper is to present an entirely renewable energy based electricity supply system (small scale), to suggest the mathematical model of the system and computational method to analyze the performance of the system.

  8. A Score-Based Approach to 18F-FDG PET Images as a Tool to Describe Metabolic Predictors of Myocardial Doxorubicin Susceptibility

    Directory of Open Access Journals (Sweden)

    Matteo Bauckneht

    2017-10-01

    Full Text Available Purpose: To verify the capability of 18F-fluorodeoxy-glucose positron emission tomography/computed tomography (FDG-PET/CT to identify patients at higher risk of developing doxorubicin (DXR-induced cardiotoxicity, using a score-based image approach. Methods: 36 patients underwent FDG-PET/CT. These patients had shown full remission after DXR-based chemotherapy for Hodgkin’s disease (DXR dose: 40–50 mg/m2 per cycle, and were retrospectively enrolled. Inclusion criteria implied the presence of both pre- and post-chemotherapy clinical evaluation encompassing electrocardiogram (ECG and echocardiography. Myocardial metabolism at pre-therapy PET was evaluated according to both standardized uptake value (SUV- and score-based approaches. The capability of the score-based image assessment to predict the occurrence of cardiac toxicity with respect to SUV measurement was then evaluated. Results: In contrast to the SUV-based approach, the five-point scale method does not linearly stratify the risk of the subsequent development of cardiotoxicity. However, converting the five-points scale to a dichotomic evaluation (low vs. high myocardial metabolism, FDG-PET/CT showed high diagnostic accuracy in the prediction of cardiac toxicity (specificity = 100% and sensitivity = 83.3%. In patients showing high myocardial uptake at baseline, in which the score-based method is not able to definitively exclude the occurrence of cardiac toxicity, myocardial SUV mean quantification is able to further stratify the risk between low and intermediate risk classes. Conclusions: the score-based approach to FDG-PET/CT images is a feasible method for predicting DXR-induced cardiotoxicity. This method might improve the inter-reader and inter-scanner variability, thus allowing the evaluation of FDG-PET/CT images in a multicentral setting.

  9. A comparison of the prognostic value of preoperative inflammation-based scores and TNM stage in patients with gastric cancer

    Directory of Open Access Journals (Sweden)

    Pan QX

    2015-06-01

    Full Text Available Qun-Xiong Pan,* Zi-Jian Su,* Jian-Hua Zhang, Chong-Ren Wang, Shao-Ying KeDepartment of Oncosurgery, Quanzhou First Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, People’s Republic of China*These authors contributed equally to this workBackground: People’s Republic of China is one of the countries with the highest incidence of gastric cancer, accounting for 45% of all new gastric cancer cases in the world. Therefore, strong prognostic markers are critical for the diagnosis and survival of Chinese patients suffering from gastric cancer. Recent studies have begun to unravel the mechanisms linking the host inflammatory response to tumor growth, invasion and metastasis in gastric cancers. Based on this relationship between inflammation and cancer progression, several inflammation-based scores have been demonstrated to have prognostic value in many types of malignant solid tumors.Objective: To compare the prognostic value of inflammation-based prognostic scores and tumor node metastasis (TNM stage in patients undergoing gastric cancer resection.Methods: The inflammation-based prognostic scores were calculated for 207 patients with gastric cancer who underwent surgery. Glasgow prognostic score (GPS, neutrophil lymphocyte ratio (NLR, platelet lymphocyte ratio (PLR, prognostic nutritional index (PNI, and prognostic index (PI were analyzed. Linear trend chi-square test, likelihood ratio chi-square test, and receiver operating characteristic were performed to compare the prognostic value of the selected scores and TNM stage.Results: In univariate analysis, preoperative serum C-reactive protein (P<0.001, serum albumin (P<0.001, GPS (P<0.001, PLR (P=0.002, NLR (P<0.001, PI (P<0.001, PNI (P<0.001, and TNM stage (P<0.001 were significantly associated with both overall survival and disease-free survival of patients with gastric cancer. In multivariate analysis, GPS (P=0.024, NLR (P=0.012, PI (P=0.001, TNM stage (P<0.001, and degree of

  10. Energy flexibility assessment of a multi agent-based smart home energy system

    OpenAIRE

    Amin Shokri Gazafroudi; Tiago Pinto; Francisco Prieto-Castrillo; Juan Manuel Corchado; Omid Abrishambaf; Aria Jozi; Zita Vale

    2018-01-01

    Power systems worldwide are complex and challenging environments. The increasing necessity for an adequate integration of renewable energy sources is resulting in a rising complexity in power systems operation. Multi-agent based simulation platforms have proven to be a good option to study the several issues related to these systems. In a smaller scale, a home energy management system would be effective for the both sides of the network. It can reduce the electricity costs of the demand side,...

  11. Acoustic Focusing and Energy Confinement Based on Multilateral Metasurfaces

    Science.gov (United States)

    Qi, Shuibao; Li, Yong; Assouar, Badreddine

    2017-05-01

    Metamaterial-based acoustic wave manipulation shows great potential in effective acoustic energy confinement and low-frequency acoustic isolation. We numerically and theoretically propose here a concept based on multilateral metasurfaces for reflected acoustic focusing and energy confinement. The theoretical phase-shift profile required for reflected wave focusing and governed by the generalized Snell's law can be discretely realized by appropriately arraying the labyrinthine units in the right sequences. Based on this design, multilateral metasurfaces for acoustic wave focusing and energy confinement under point-source incidence are considered and sufficiently investigated. The coupling effects and multiple reflections between or among metasurfaces, which play a significant role in the energy confinement, are initially analyzed and discussed. We show that the acoustic focusing and confinement increase with the sides of the multilateral metasurfaces as anticipated. In addition to the contribution of the first reflection, multiple reflections also contribute to the acoustic focusing and energy confinement, especially when the metasurfaces are configured in parallel. The proposed multilateral metasurfaces should have excellent performance in acoustic energy confinement in various situations due to the variable designs and strong acoustic focusing capabilities.

  12. Writable electrochemical energy source based on graphene oxide

    Science.gov (United States)

    Wei, Di

    2015-10-01

    Graphene oxide (GO) was mainly used as raw material for various types of reduced graphene oxide (rGO) as a cost effective method to make graphene like materials. However, applications of its own unique properties such as extraordinary proton conductivity and super-permeability to water were overlooked. Here GO based battery-like planar energy source was demonstrated on arbitrary insulating substrate (e.g. polymer sheet/paper) by coating PEDOT, GO ink and rGO on Ag charge collectors. Energy from such GO battery depends on its length and one unit cell with length of 0.5 cm can generate energy capacity of 30 Ah/L with voltage up to 0.7 V when room temperature ionic liquid (RTIL) is added. With power density up to 0.4 W/cm3 and energy density of 4 Wh/L, GO battery was demonstrated to drive an electrochromic device. This work is the first attempt to generate decent energy using the fast transported water molecules inside GO. It provides very safe energy source that enables new applications otherwise traditional battery technology can not make including building a foldable energy source on paper and platform for futuristic wearable electronics. A disposable energy source made of GO was also written on a plastic glove to demonstrate wearability.

  13. Agent-based modelling of consumer energy choices

    Science.gov (United States)

    Rai, Varun; Henry, Adam Douglas

    2016-06-01

    Strategies to mitigate global climate change should be grounded in a rigorous understanding of energy systems, particularly the factors that drive energy demand. Agent-based modelling (ABM) is a powerful tool for representing the complexities of energy demand, such as social interactions and spatial constraints. Unlike other approaches for modelling energy demand, ABM is not limited to studying perfectly rational agents or to abstracting micro details into system-level equations. Instead, ABM provides the ability to represent behaviours of energy consumers -- such as individual households -- using a range of theories, and to examine how the interaction of heterogeneous agents at the micro-level produces macro outcomes of importance to the global climate, such as the adoption of low-carbon behaviours and technologies over space and time. We provide an overview of ABM work in the area of consumer energy choices, with a focus on identifying specific ways in which ABM can improve understanding of both fundamental scientific and applied aspects of the demand side of energy to aid the design of better policies and programmes. Future research needs for improving the practice of ABM to better understand energy demand are also discussed.

  14. Resonant wave energy harvester based on dielectric elastomer generator

    Science.gov (United States)

    Moretti, Giacomo; Pietro Rosati Papini, Gastone; Righi, Michele; Forehand, David; Ingram, David; Vertechy, Rocco; Fontana, Marco

    2018-03-01

    Dielectric elastomer generators (DEGs) are a class of capacitive solid-state devices that employ highly stretchable dielectrics and conductors to convert mechanical energy into high-voltage direct-current electricity. Their promising performance in terms of convertible energy and power density has been mostly proven in quasi-static experimental tests with prescribed deformation. However, the assessment of their ability in harvesting energy from a dynamic oscillating source of mechanical energy is crucial to demonstrate their effectiveness in practical applications. This paper reports a first demonstration of a DEG system that is able to convert the oscillating energy carried by water waves into electricity. A DEG prototype is built using a commercial polyacrylate film (VHB 4905 by 3M) and an experimental campaign is conducted in a wave-flume facility, i.e. an artificial basin that makes it possible to generate programmed small-scale waves at different frequencies and amplitudes. In resonant conditions, the designed system demonstrates the delivery of a maximum of 0.87 W of electrical power output and 0.64 J energy generated per cycle, with corresponding densities per unit mass of dielectric elastomer of 197 W kg-1 and 145 J kg-1. Additionally, a notable maximum fraction of 18% of the input wave energy is converted into electricity. The presented results provide a promising demonstration of the operation and effectiveness of ocean wave energy converters based on elastic capacitive generators.

  15. Energy based model for temperature dependent behavior of ferromagnetic materials

    International Nuclear Information System (INIS)

    Sah, Sanjay; Atulasimha, Jayasimha

    2017-01-01

    An energy based model for temperature dependent anhysteretic magnetization curves of ferromagnetic materials is proposed and benchmarked against experimental data. This is based on the calculation of macroscopic magnetic properties by performing an energy weighted average over all possible orientations of the magnetization vector. Most prior approaches that employ this method are unable to independently account for the effect of both inhomogeneity and temperature in performing the averaging necessary to model experimental data. Here we propose a way to account for both effects simultaneously and benchmark the model against experimental data from ~5 K to ~300 K for two different materials in both annealed (fewer inhomogeneities) and deformed (more inhomogeneities) samples. This demonstrates that this framework is well suited to simulate temperature dependent experimental magnetic behavior. - Highlights: • Energy based model for temperature dependent ferromagnetic behavior. • Simultaneously accounts for effect of temperature and inhomogeneities. • Benchmarked against experimental data from 5 K to 300 K.

  16. Graphene-Based Carbon Materials for Electrochemical Energy Storage

    Directory of Open Access Journals (Sweden)

    Fei Liu

    2013-01-01

    Full Text Available Because of their unique 2D structure and numerous fascinating properties, graphene-based materials have attracted particular attention for their potential applications in energy storage devices. In this review paper, we focus on the latest work regarding the development of electrode materials for batteries and supercapacitors from graphene and graphene-based carbon materials. To begin, the advantages of graphene as an electrode material and the existing problems facing its use in this application will be discussed. The next several sections deal with three different methods for improving the energy storage performance of graphene: the restacking of the nanosheets, the doping of graphene with other elements, and the creation of defects on graphene planes. State-of-the-art work is reviewed. Finally, the prospects and further developments in the field of graphene-based materials for electrochemical energy storage are discussed.

  17. Correlation of phantom-based and log file patient-specific QA with complexity scores for VMAT.

    Science.gov (United States)

    Agnew, Christina E; Irvine, Denise M; McGarry, Conor K

    2014-11-08

    The motivation for this study was to reduce physics workload relating to patient- specific quality assurance (QA). VMAT plan delivery accuracy was determined from analysis of pre- and on-treatment trajectory log files and phantom-based ionization chamber array measurements. The correlation in this combination of measurements for patient-specific QA was investigated. The relationship between delivery errors and plan complexity was investigated as a potential method to further reduce patient-specific QA workload. Thirty VMAT plans from three treatment sites - prostate only, prostate and pelvic node (PPN), and head and neck (H&N) - were retrospectively analyzed in this work. The 2D fluence delivery reconstructed from pretreatment and on-treatment trajectory log files was compared with the planned fluence using gamma analysis. Pretreatment dose delivery verification was also car- ried out using gamma analysis of ionization chamber array measurements compared with calculated doses. Pearson correlations were used to explore any relationship between trajectory log file (pretreatment and on-treatment) and ionization chamber array gamma results (pretreatment). Plan complexity was assessed using the MU/ arc and the modulation complexity score (MCS), with Pearson correlations used to examine any relationships between complexity metrics and plan delivery accu- racy. Trajectory log files were also used to further explore the accuracy of MLC and gantry positions. Pretreatment 1%/1 mm gamma passing rates for trajectory log file analysis were 99.1% (98.7%-99.2%), 99.3% (99.1%-99.5%), and 98.4% (97.3%-98.8%) (median (IQR)) for prostate, PPN, and H&N, respectively, and were significantly correlated to on-treatment trajectory log file gamma results (R = 0.989, p < 0.001). Pretreatment ionization chamber array (2%/2 mm) gamma results were also significantly correlated with on-treatment trajectory log file gamma results (R = 0.623, p < 0.001). Furthermore, all gamma results displayed a

  18. Psychometric properties of the foot and ankle outcome score in a community-based study of adults with and without osteoarthritis

    DEFF Research Database (Denmark)

    Golightly, Yvonne M; Devellis, Robert F; Nelson, Amanda E

    2014-01-01

    examined psychometric properties of the Foot and Ankle Outcome Score (FAOS) subscales (pain, other symptoms, activities of daily living [ADL], sport and recreational function [Sport/Recreation], and foot and ankle related quality of life [QOL]) in a large, community-based sample of African American...

  19. Sex-Based Differences in the Performance of the HEART Score in Patients Presenting to the Emergency Department With Acute Chest Pain

    NARCIS (Netherlands)

    Bank, Ingrid E M; de Hoog, Vince C; de Kleijn, Dominique P V; Pasterkamp, Gerard; Doevendans, Pieter A; den Ruijter, Hester M; Dalmeijer, Geertje; Wildbergh, Thierry X.; Mosterd, Arend; Timmers, Leo

    2017-01-01

    BACKGROUND: Sex-based differences in clinical presentation, pathophysiology, and outcomes of patients with acute chest pain are increasingly being recognized, but are not implemented in guidelines and clinical prediction tools. We evaluated the performance of the HEART score in women versus men,

  20. Energy-based coordinated control of wind energy conversion system with DFIG

    Science.gov (United States)

    Qu, Y. B.; Song, H. H.

    2011-12-01

    This article presents an energy-based coordinated control of machine- and grid-side converters in a wind energy conversion system (WECS) with a doubly-fed induction generator (DFIG) based on the theory of port-controlled Hamiltonian (PCH) system. Taking into account energy transmission in the dual PWM converter rather than treating rectification and inversion as separate parts, an integrated PCH model for the whole WECS was established from physical meanings. And depending on the new model, an energy-based coordinated control approach was proposed to meet the control requirements of the WECS with an additional objective which was to limit the DC-link voltage fluctuation. The approach was applied on a 2MW WECS, and compared with the energy-based respective control strategy using MATLAB/Simulink. The results show that the proposed control approach provides faster dynamic performance since the two converters operate with the knowledge of each other's operating status, and thus is able to smooth the power flow in the DC-link more effectively.

  1. Innovative energy absorbing devices based on composite tubes

    Science.gov (United States)

    Tiwari, Chandrashekhar

    Analytical and experimental study of innovative load limiting and energy absorbing devices are presented here. The devices are based on composite tubes and can be categorized in to two groups based upon the energy absorbing mechanisms exhibited by them, namely: foam crushing and foam fracturing. The device based on foam crushing as the energy absorbing mechanism is composed of light weight elastic-plastic foam filling inside an angle ply composite tube. The tube is tailored to have a high Poisson’s ratio (>20). Upon being loaded the device experiences large transverse contraction resulting in rapid decrease in diameter. At a certain axial load the foam core begins to crush and energy is dissipated. This device is termed as crush tube device. The device based upon foam shear fracture as the energy absorbing mechanism involves an elastic-plastic core foam in annulus of two concentric extension-twist coupled composite tubes with opposite angles of fibers. The core foam is bonded to the inner and outer tube walls. Upon being loaded axially, the tubes twist in opposite directions and fracture the core foam in out of plane shear and thus dissipate the energy stored. The device is termed as sandwich core device (SCD). The devices exhibit variations in force-displacement characteristics with changes in design and material parameters, resulting in wide range of energy absorption capabilities. A flexible matrix composite system was selected, which was composed of high stiffness carbon fibers as reinforcements in relatively low stiffness polyurethane matrix, based upon large strain to failure capabilities and large beneficial elastic couplings. Linear and non-linear analytical models were developed encapsulating large deformation theory of the laminated composite shells (using non-linear strain energy formulation) to the fracture mechanics of core foam and elastic-plastic deformation theory of the foam filling. The non-linear model is capable of including material and

  2. The association between creatinine versus cystatin C-based eGFR and cardiovascular risk in children with chronic kidney disease using a modified PDAY risk score.

    Science.gov (United States)

    Sharma, Sheena; Denburg, Michelle R; Furth, Susan L

    2017-08-01

    Children with chronic kidney disease (CKD) have a high prevalence of cardiovascular disease (CVD) risk factors which may contribute to the development of cardiovascular events in adulthood. Among adults with CKD, cystatin C-based estimates of glomerular filtration rate (eGFR) demonstrate a stronger predictive value for cardiovascular events than creatinine-based eGFR. The PDAY (Pathobiological Determinants of Atherosclerosis in Youth) risk score is a validated tool used to estimate the probability of advanced coronary atherosclerotic lesions in young adults. To assess the association between cystatin C-based versus creatinine-based eGFR (eGFR cystatin C and eGFR creatinine, respectively) and cardiovascular risk using a modified PDAY risk score as a proxy for CVD in children and young adults. We performed a cross-sectional study of 71 participants with CKD [median age 15.5 years; inter-quartile range (IQR) 13, 17], and 33 healthy controls (median age 15.1 years; IQR 13, 17). eGFR was calculated using age-appropriate creatinine- and cystatin C-based formulas. Median eGFR creatinine and eGFR cystatin C for CKD participants were 50 (IQR 30, 75) and 53 (32, 74) mL/min/1.73 m 2 , respectively. For the healthy controls, median eGFR creatinine and eGFR cystatin were 112 (IQR 85, 128) and 106 mL/min/1.73m 2 (95, 123) mL/min/1.73 m 2 , respectively. A modified PDAY risk score was calculated based on sex, age, serum lipoprotein concentrations, obesity, smoking status, hypertension, and hyperglycemia. Modified PDAY scores ranged from -2 to 20. The Spearman's correlations of eGFR creatinine and eGFR cystatin C with coronary artery PDAY scores were -0.23 (p = 0.02) and -0.28 (p = 0.004), respectively. Ordinal logistic regression also showed a similar association of higher eGFR creatinine and higher eGFR cystatin C with lower PDAY scores. When stratified by age children [-0.29 (p = 0.008) vs. -0.32 (p = 0.004), respectively]. Despite a smaller sample size, the correlation in

  3. MEMS-based thick film PZT vibrational energy harvester

    DEFF Research Database (Denmark)

    Lei, Anders; Xu, Ruichao; Thyssen, Anders

    2011-01-01

    We present a MEMS-based unimorph silicon/PZT thick film vibrational energy harvester with an integrated proof mass. We have developed a process that allows fabrication of high performance silicon based energy harvesters with a yield higher than 90%. The process comprises a KOH etch using...... a mechanical front side protection of an SOI wafer with screen printed PZT thick film. The fabricated harvester device produces 14.0 μW with an optimal resistive load of 100 kΩ from 1g (g=9.81 m s-2) input acceleration at its resonant frequency of 235 Hz....

  4. Energy-based ferromagnetic material model with magnetic anisotropy

    International Nuclear Information System (INIS)

    Steentjes, Simon; Henrotte, François; Hameyer, Kay

    2017-01-01

    Non-oriented soft magnetic materials are commonly assumed to be magnetically isotropic. However, due to the rolling process a preferred direction exists along the rolling direction. This uniaxial magnetic anisotropy, and the related magnetostriction effect, are critical to the accurate calculation of iron losses and magnetic forces in rotating electrical machines. This paper proposes an extension of an isotropic energy-based vector hysteresis model to account for these two effects. - Highlights: • Energy-based vector hysteresis model with magnetic anisotropy. • Two-scale model to account for pinning field distribution. • Pinning force and reluctivity are extended to anisotropic case.

  5. Energy Efficient FPGA based Hardware Accelerators for Financial Applications

    DEFF Research Database (Denmark)

    Kenn Toft, Jakob; Nannarelli, Alberto

    2014-01-01

    Field Programmable Gate Arrays (FPGAs) based accelerators are very suitable to implement application-specific processors using uncommon operations or number systems. In this work, we design FPGA-based accelerators for two financial computations with different characteristics and we compare...... the accelerator performance and energy consumption to a software execution of the application. The experimental results show that significant speed-up and energy savings, can be obtained for large data sets by using the accelerator at expenses of a longer development time....

  6. Cooperative relay-based multicasting for energy and delay minimization

    KAUST Repository

    Atat, Rachad

    2012-08-01

    Relay-based multicasting for the purpose of cooperative content distribution is studied. Optimized relay selection is performed with the objective of minimizing the energy consumption or the content distribution delay within a cluster of cooperating mobiles. Two schemes are investigated. The first consists of the BS sending the data only to the relay, and the second scheme considers the scenario of threshold-based multicasting by the BS, where a relay is selected to transmit the data to the mobiles that were not able to receive the multicast data. Both schemes show significant superiority compared to the non-cooperative scenarios, in terms of energy consumption and delay reduction. © 2012 IEEE.

  7. Energy-Based Metrics for Arthroscopic Skills Assessment

    Directory of Open Access Journals (Sweden)

    Behnaz Poursartip

    2017-08-01

    Full Text Available Minimally invasive skills assessment methods are essential in developing efficient surgical simulators and implementing consistent skills evaluation. Although numerous methods have been investigated in the literature, there is still a need to further improve the accuracy of surgical skills assessment. Energy expenditure can be an indication of motor skills proficiency. The goals of this study are to develop objective metrics based on energy expenditure, normalize these metrics, and investigate classifying trainees using these metrics. To this end, different forms of energy consisting of mechanical energy and work were considered and their values were divided by the related value of an ideal performance to develop normalized metrics. These metrics were used as inputs for various machine learning algorithms including support vector machines (SVM and neural networks (NNs for classification. The accuracy of the combination of the normalized energy-based metrics with these classifiers was evaluated through a leave-one-subject-out cross-validation. The proposed method was validated using 26 subjects at two experience levels (novices and experts in three arthroscopic tasks. The results showed that there are statistically significant differences between novices and experts for almost all of the normalized energy-based metrics. The accuracy of classification using SVM and NN methods was between 70% and 95% for the various tasks. The results show that the normalized energy-based metrics and their combination with SVM and NN classifiers are capable of providing accurate classification of trainees. The assessment method proposed in this study can enhance surgical training by providing appropriate feedback to trainees about their level of expertise and can be used in the evaluation of proficiency.

  8. Nursing activities score

    NARCIS (Netherlands)

    Miranda, DR; Nap, R; de Rijk, A; Schaufeli, W; Lapichino, G

    Objectives. The instruments used for measuring nursing workload in the intensive care unit (e.g., Therapeutic Intervention Scoring System-28) are based on therapeutic interventions related to severity of illness. Many nursing activities are not necessarily related to severity of illness, and

  9. Evaluating the Consistency of Angoff-Based Cut Scores Using Subsets of Items within a Generalizability Theory Framework

    Science.gov (United States)

    Kannan, Priya; Sgammato, Adrienne; Tannenbaum, Richard J.; Katz, Irvin R.

    2015-01-01

    The Angoff method requires experts to view every item on the test and make a probability judgment. This can be time consuming when there are large numbers of items on the test. In this study, a G-theory framework was used to determine if a subset of items can be used to make generalizable cut-score recommendations. Angoff ratings (i.e.,…

  10. GPU Based N-Gram String Matching Algorithm with Score Table Approach for String Searching in Many Documents

    Science.gov (United States)

    Srinivasa, K. G.; Shree Devi, B. N.

    2017-10-01

    String searching in documents has become a tedious task with the evolution of Big Data. Generation of large data sets demand for a high performance search algorithm in areas such as text mining, information retrieval and many others. The popularity of GPU's for general purpose computing has been increasing for various applications. Therefore it is of great interest to exploit the thread feature of a GPU to provide a high performance search algorithm. This paper proposes an optimized new approach to N-gram model for string search in a number of lengthy documents and its GPU implementation. The algorithm exploits GPGPUs for searching strings in many documents employing character level N-gram matching with parallel Score Table approach and search using CUDA API. The new approach of Score table used for frequency storage of N-grams in a document, makes the search independent of the document's length and allows faster access to the frequency values, thus decreasing the search complexity. The extensive thread feature in a GPU has been exploited to enable parallel pre-processing of trigrams in a document for Score Table creation and parallel search in huge number of documents, thus speeding up the whole search process even for a large pattern size. Experiments were carried out for many documents of varied length and search strings from the standard Lorem Ipsum text on NVIDIA's GeForce GT 540M GPU with 96 cores. Results prove that the parallel approach for Score Table creation and searching gives a good speed up than the same approach executed serially.

  11. Distributed energy resources at naval base ventura county building 1512

    International Nuclear Information System (INIS)

    Bailey, Owen C.; Marnay, Chris

    2004-01-01

    This paper reports the findings of a preliminary assessment of the cost effectiveness of distributed energy resources at Naval Base Ventura County (NBVC) Building 1512. This study was conducted in response to the base's request for design assistance to the Federal Energy Management Program. Given the current tariff structure there are two main decisions facing NBVC: whether to install distributed energy resources (DER), or whether to continue the direct access energy supply contract. At the current effective rate, given assumptions about the performance and structure of building energy loads and available generating technology characteristics, the results of this study indicate that if the building installed a 600 kW DER system with absorption cooling and heat capabilities chosen by cost minimization, the energy cost savings would be about 14 percent, or $55,000 per year. However, under current conditions, this study also suggests that significant savings could be obtained if Building 1 512 changed from the direct access contract to a SCE TOU-8 (Southern California Edison time of use tariff number 8) rate without installing a DER system. At current SCE TOU-8 tariffs, the potential savings from installation of a DER system would be about 4 percent, or $15,000 per year

  12. Design optimization of PVDF-based piezoelectric energy harvesters

    Directory of Open Access Journals (Sweden)

    Jundong Song

    2017-09-01

    Full Text Available Energy harvesting is a promising technology that powers the electronic devices via scavenging the ambient energy. Piezoelectric energy harvesters have attracted considerable interest for their high conversion efficiency and easy fabrication in minimized sensors and transducers. To improve the output capability of energy harvesters, properties of piezoelectric materials is an influential factor, but the potential of the material is less likely to be fully exploited without an optimized configuration. In this paper, an optimization strategy for PVDF-based cantilever-type energy harvesters is proposed to achieve the highest output power density with the given frequency and acceleration of the vibration source. It is shown that the maximum power output density only depends on the maximum allowable stress of the beam and the working frequency of the device, and these two factors can be obtained by adjusting the geometry of piezoelectric layers. The strategy is validated by coupled finite-element-circuit simulation and a practical device. The fabricated device within a volume of 13.1 mm3 shows an output power of 112.8 μW which is comparable to that of the best-performing piezoceramic-based energy harvesters within the similar volume reported so far.

  13. An Internet of Energy Things Based on Wireless LPWAN

    Directory of Open Access Journals (Sweden)

    Yonghua Song

    2017-08-01

    Full Text Available Under intense environmental pressure, the global energy sector is promoting the integration of renewable energy into interconnected energy systems. The demand-side management (DSM of energy systems has drawn considerable industrial and academic attention in attempts to form new flexibilities to respond to variations in renewable energy inputs to the system. However, many DSM concepts are still in the experimental demonstration phase. One of the obstacles to DSM usage is that the current information infrastructure was mainly designed for centralized systems, and does not meet DSM requirements. To overcome this barrier, this paper proposes a novel information infrastructure named the Internet of Energy Things (IoET in order to make DSM practicable by basing it on the latest wireless communication technology: the low-power wide-area network (LPWAN. The primary advantage of LPWAN over general packet radio service (GPRS and area Internet of Things (IoT is its wide-area coverage, which comes with minimum power consumption and maintenance costs. Against this background, this paper briefly reviews the representative LPWAN technologies of narrow-band Internet of Things (NB-IoT and Long Range (LoRa technology, and compares them with GPRS and area IoT technology. Next, a wireless-to-cloud architecture is proposed for the IoET, based on the main technical features of LPWAN. Finally, this paper looks forward to the potential of IoET in various DSM application scenarios.

  14. Calculation of the yearly energy performance of heating systems based on the European Building Energy Directive and related CEN Standards

    DEFF Research Database (Denmark)

    Olesen, Bjarne W.; de Carli, Michele

    2011-01-01

    According to the Energy Performance of Buildings Directive (EPBD) all new European buildings (residential, commercial, industrial, etc.) must since 2006 have an energy declaration based on the calculated energy performance of the building, including heating, ventilating, cooling and lighting syst......–20% of the building energy demand. The additional loss depends on the type of heat emitter, type of control, pump and boiler. Keywords: Heating systems; CEN standards; Energy performance; Calculation methods......According to the Energy Performance of Buildings Directive (EPBD) all new European buildings (residential, commercial, industrial, etc.) must since 2006 have an energy declaration based on the calculated energy performance of the building, including heating, ventilating, cooling and lighting...

  15. Energy Aware Cluster Based Routing Scheme For Wireless Sensor Network

    Directory of Open Access Journals (Sweden)

    Roy Sohini

    2015-09-01

    Full Text Available Wireless Sensor Network (WSN has emerged as an important supplement to the modern wireless communication systems due to its wide range of applications. The recent researches are facing the various challenges of the sensor network more gracefully. However, energy efficiency has still remained a matter of concern for the researches. Meeting the countless security needs, timely data delivery and taking a quick action, efficient route selection and multi-path routing etc. can only be achieved at the cost of energy. Hierarchical routing is more useful in this regard. The proposed algorithm Energy Aware Cluster Based Routing Scheme (EACBRS aims at conserving energy with the help of hierarchical routing by calculating the optimum number of cluster heads for the network, selecting energy-efficient route to the sink and by offering congestion control. Simulation results prove that EACBRS performs better than existing hierarchical routing algorithms like Distributed Energy-Efficient Clustering (DEEC algorithm for heterogeneous wireless sensor networks and Energy Efficient Heterogeneous Clustered scheme for Wireless Sensor Network (EEHC.

  16. Surface morphology effects in a vibration based triboelectric energy harvester

    Science.gov (United States)

    Nafari, A.; Sodano, H. A.

    2018-01-01

    Despite the abundance of ambient mechanical energy in our environment, it is often neglected and left unused. However, recent studies have demonstrated that mechanical vibrations can be harvested and used to power small wireless electronic devices, such as micro electromechanical sensors (MEMS) and actuators. Most commonly, these energy harvesters convert vibration into electrical energy by utilizing piezoelectric, electromagnetic or electrostatic effects. Recently, triboelectric based energy harvesters have shown to be among the simplest and most cost-effective techniques for scavenging mechanical energy. The basis of triboelectric energy harvesters is the periodic contact and separation of two surfaces with opposite triboelectric properties which results in induced charge flow through an external load. Here, a vibration driven triboelectric nanogenerator (TENG) is fabricated and the effect of micro/nano scale surface modification is studied. The TENG produces electrical energy on the basis of periodic out-of-plane charge separation between gold and polydimethylsiloxane (PDMS) with opposite triboelectric charge polarities. By introducing micro/nano scale surface modifications to the PDMS and gold, the TENG’s power output is further enhanced. This work demonstrates that the morphology of the surfaces in a TENG device is important and by increasing the effective surface area through micro/nano scale modification, the power output of the device can increase by 118%. Moreover, it is shown that unlike many TENGs proposed in the literature, the fabricated device has a high RMS open circuit voltage and short circuit current and can perform for an extended period of time.

  17. Energy survey of the coal based sponge iron industry

    Directory of Open Access Journals (Sweden)

    Nishant R. Dey

    2015-09-01

    Full Text Available A survey is made on a typical coal based Indian sponge iron plant of capacity 500 t/d in order to identify the largest energy losses and find ways to increase the efficiency. The required data are obtained by measurements or taken from production industries. The process efficiency is about 51.31%. The energy balances of the process show that the gap between theoretical and actual energy consumption is 45.2% and the exhausts make up the largest loss of 43.5%. A huge amount of waste gas is generated during operation and substantial part of it associated with the waste gas, remains unutilized. The energy content in the exhaust gases which is found at useful temperature can be used in three different ways: by internal use; by external energy supply; or by power generation. The four possible potential areas are identified where energy is being lost and untapped. The largest improvements would be made by design modifications adopting a novel energy conservation scenario by process integration and thereby decreasing the coal and water consumption and by decreasing the cold fresh air.

  18. Less increase of CT-based calcium scores of the coronary arteries. Effect three years after breast-conserving radiotherapy using breath-hold

    Energy Technology Data Exchange (ETDEWEB)

    Mast, M.E.; Kempen-Harteveld, M.L. van; Petoukhova, A.L. [Centre West, Radiotherapy, The Hague (Netherlands); Heijenbrok, M.W. [Medical Center Haaglanden, Department of Radiology, The Hague (Netherlands); Scholten, A.N. [Netherlands Cancer Institute - Antoni van Leeuwenhoek Hospital, Department of Radiation Oncology, Amsterdam (Netherlands); Wolterbeek, R. [Leiden University Medical Centre, Department of Medical Statistics and Bioinformatics, Leiden (Netherlands); Schreur, J.H.M. [Medical Center Haaglanden, Department of Cardiology, The Hague (Netherlands); Struikmans, H. [Centre West, Radiotherapy, The Hague (Netherlands); Leiden University Medical Centre, Department of Clinical Oncology, Leiden (Netherlands)

    2016-10-15

    The aim of this prospective longitudinal study was to compare coronary artery calcium (CAC) scores determined before the start of whole breast irradiation with those determined 3 years afterwards. Changes in CAC scores were analysed in 99 breast cancer patients. Three groups were compared: patients receiving left- and right-sided radiotherapy, and those receiving left-sided radiotherapy with breath-hold. We analysed overall CAC scores and left anterior descending (LAD) and right coronary artery (RCA) CAC scores. Between the three groups, changes of the value of the LAD minus the RCA CAC scores of each individual patient were also compared. Three years after breath-hold-based whole breast irradiation, a less pronounced increase of CAC scores was noted. Furthermore, LAD minus RCA scores in patients treated for left-sided breast cancer without breath-hold were higher when compared to LAD minus RCA scores of patients with right-sided breast cancers and those with left-sided breast cancer treated with breath-hold. Breath-hold in breast-conserving radiotherapy leads to a less pronounced increase of CT-based CAC scores. Therefore, breath-hold probably prevents the development of radiation-induced coronary artery disease. However, the sample size of this study is limited and the follow-up period relatively short. (orig.) [German] Das Ziel dieser prospektiven Langzeitstudie war der Vergleich der Coronary-Artery-Calcium-(CAC-)Werte vor Beginn der Brustbestrahlung mit den Werten nach 3 Jahren. Aenderungen der CAC-Werte wurden bei 99 Brustkrebspatienten analysiert. Drei Gruppen wurden untersucht: Patienten nach links- und rechtsseitiger Strahlentherapie sowie mit Bestrahlung unter Atemanhalt. Wir analysierten die Gesamt-CAC-Werte sowie die CAC-Werte der vorderen linken absteigenden (''left anterior descending'', LAD) und der rechten Koronararterie (''right coronary artery'', RCA). Zwischen den drei Gruppen wurden auch die Veraenderungen

  19. Estimation of Supercapacitor Energy Storage Based on Fractional Differential Equations

    Science.gov (United States)

    Kopka, Ryszard

    2017-12-01

    In this paper, new results on using only voltage measurements on supercapacitor terminals for estimation of accumulated energy are presented. For this purpose, a study based on application of fractional-order models of supercapacitor charging/discharging circuits is undertaken. Parameter estimates of the models are then used to assess the amount of the energy accumulated in supercapacitor. The obtained results are compared with energy determined experimentally by measuring voltage and current on supercapacitor terminals. All the tests are repeated for various input signal shapes and parameters. Very high consistency between estimated and experimental results fully confirm suitability of the proposed approach and thus applicability of the fractional calculus to modelling of supercapacitor energy storage.

  20. Estimation of Supercapacitor Energy Storage Based on Fractional Differential Equations.

    Science.gov (United States)

    Kopka, Ryszard

    2017-12-22

    In this paper, new results on using only voltage measurements on supercapacitor terminals for estimation of accumulated energy are presented. For this purpose, a study based on application of fractional-order models of supercapacitor charging/discharging circuits is undertaken. Parameter estimates of the models are then used to assess the amount of the energy accumulated in supercapacitor. The obtained results are compared with energy determined experimentally by measuring voltage and current on supercapacitor terminals. All the tests are repeated for various input signal shapes and parameters. Very high consistency between estimated and experimental results fully confirm suitability of the proposed approach and thus applicability of the fractional calculus to modelling of supercapacitor energy storage.

  1. FUZZY LOGIC BASED ENERGY EFFICIENT PROTOCOL IN WIRELESS SENSOR NETWORKS

    Directory of Open Access Journals (Sweden)

    Zhan Wei Siew

    2012-12-01

    Full Text Available Wireless sensor networks (WSNs have been vastly developed due to the advances in microelectromechanical systems (MEMS using WSN to study and monitor the environments towards climates changes. In environmental monitoring, sensors are randomly deployed over the interest area to periodically sense the physical environments for a few months or even a year. Therefore, to prolong the network lifetime with limited battery capacity becomes a challenging issue. Low energy adaptive cluster hierarchical (LEACH is the common clustering protocol that aim to reduce the energy consumption by rotating the heavy workload cluster heads (CHs. The CHs election in LEACH is based on probability model which will lead to inefficient in energy consumption due to least desired CHs location in the network. In WSNs, the CHs location can directly influence the network energy consumption and further affect the network lifetime. In this paper, factors which will affect the network lifetime will be presented and the demonstration of fuzzy logic based CH selection conducted in base station (BS will also be carried out. To select suitable CHs that will prolong the network first node dies (FND round and consistent throughput to the BS, energy level and distance to the BS are selected as fuzzy inputs.

  2. Biomass-based energy carriers in the transportation sector

    International Nuclear Information System (INIS)

    Johansson, Bengt.

    1995-03-01

    The purpose of this report is to study the technical and economic prerequisites to attain reduced carbon dioxide emissions through the use of biomass-based energy carriers in the transportation sector, and to study other environmental impacts resulting from an increased use of biomass-based energy carriers. CO 2 emission reduction per unit arable and forest land used for biomass production (kg CO 2 /ha,year) and costs for CO 2 emission reduction (SEK/kg CO 2 ) are estimated for the substitution of gasoline and diesel with rape methyl ester, biogas from lucerne, ethanol from wheat and ethanol, methanol, hydrogen and electricity from Salix and logging residues. Of the studied energy carriers, those based on Salix provide the largest CO 2 emission reduction. In a medium long perspective, the costs for CO 2 emission reduction seem to be lowest for methanol from Salix and logging residues. The use of fuel cell vehicles, using methanol or hydrogen as energy carriers, can in a longer perspective provide more energy efficient utilization of biomass for transportation than the use of internal combustion engine vehicles. 136 refs, 12 figs, 25 tabs

  3. Impact on house staff evaluation scores when changing from a Dreyfus- to a Milestone-based evaluation model: one internal medicine residency program's findings

    OpenAIRE

    Friedman, Karen A.; Balwan, Sandy; Cacace, Frank; Katona, Kyle; Sunday, Suzanne; Chaudhry, Saima

    2014-01-01

    Purpose: As graduate medical education (GME) moves into the Next Accreditation System (NAS), programs must take a critical look at their current models of evaluation and assess how well they align with reporting outcomes. Our objective was to assess the impact on house staff evaluation scores when transitioning from a Dreyfus-based model of evaluation to a Milestone-based model of evaluation. Milestones are a key component of the NAS.Method: We analyzed all end of rotation evaluations of hous...

  4. Initial dosing regimen of vancomycin to achieve early therapeutic plasma concentration in critically ill patients with MRSA infection based on APACHE II score.

    Science.gov (United States)

    Imaura, Masaharu; Yokoyama, Haruko; Kohata, Yuji; Kanai, Riichiro; Kohyama, Tomoki; Idemitsu, Wataru; Maki, Yuichi; Igarashi, Takashi; Takahashi, Hiroyuki; Kanno, Hiroshi; Yamada, Yasuhiko

    2016-06-01

    It is essential to assure the efficacy of antimicrobials at the initial phase of therapy. However, increasing the volume of distribution (Vd) of hydrophilic antimicrobials in critically ill patients leads to reduced antimicrobial concentration in plasma and tissue, which may adversely affect the efficacy of that therapy. The aim of the present study was to establish a theoretical methodology for setting an appropriate level for initial vancomycin therapy in individual patients based on Acute Physiology and Chronic Health Evaluation (APACHE) II score. We obtained data from patients who received intravenous vancomycin for a suspected or definitively diagnosed Gram-positive bacterial infection within 72 h after admission to the intensive care unit. The Vd and elimination half-life (t 1/2) of vancomycin values were calculated using the Bayesian method, and we investigated the relationship between them and APACHE II score. There were significant correlations between APACHE II scores and Vd/actual body weight (ABW), as well as t 1/2 (r = 0.58, p vancomycin could be estimated using the following regression equations using APACHE II score.[Formula: see text] [Formula: see text]We found that APACHE II score was a useful index for predicting the Vd and t 1/2 of vancomycin, and used that to establish an initial vancomycin dosing regimen comprised of initial dose and administration interval for individual patients.

  5. A comparison of the nutritional quality of organic and conventional ready-to-eat breakfast cereals based on NuVal scores.

    Science.gov (United States)

    Woodbury, Nancy J; George, Valerie A

    2014-07-01

    To identify whether there were differences in nutritional quality between organic and conventional ready-to-eat breakfast cereals of similar types, based on NuVal scores. The current descriptive study analysed NuVal scores for 829 ready-to-eat breakfast cereals and eighteen different cereal types. ANOVA was used to compare the mean NuVal scores of 723 conventional cereals with those of 106 organic cereals. Ready-to-eat breakfast cereals (n 829) with NuVal scores. Not applicable. There was no significant difference in NuVal scores between conventional (mean 28·4 (sd 13·4)) and organic (mean 30·6 (sd 13·2)) cereal types. Consumers who choose the organic version of a ready-to-eat breakfast cereal believing that nutritional quality is superior may not be making a valid assumption. Public health nutrition educators must help consumers understand that organic cereals are not necessarily more nutritious and their consumption could result in excessive intake of undesirable nutrients, such as fat, sugar and sodium.

  6. Group-based Motion Detection for Energy-Efficient Localisation

    Directory of Open Access Journals (Sweden)

    Alban Cotillon

    2012-10-01

    Full Text Available Long-term outdoor localization remains challenging due to the high energy profiles of GPS modules. Duty cycling the GPS module combined with inertial sensors can improve energy consumption. However, inertial sensors that are kept active all the time can also drain mobile node batteries. This paper proposes duty cycling strategies for inertial sensors to maintain a target position accuracy and node lifetime. We present a method for duty cycling motion sensors according to features of movement events, and evaluate its energy and accuracy profile for an empirical data trace of cattle movement. We further introduce the concept of group-based duty cycling, where nodes that cluster together can share the burden of motion detection to reduce their duty cycles. Our evaluation shows that both variants of motion sensor duty cycling yield up to 78% improvement in overall node power consumption, and that the group-based method yields an additional 20% power reduction during periods of low mobility.

  7. Geothermal energy in Idaho: site data base and development status

    Energy Technology Data Exchange (ETDEWEB)

    McClain, D.W.

    1979-07-01

    Detailed site specific data regarding the commercialization potential of the proven, potential, and inferred geothermal resource areas in Idaho are presented. To assess the potential for geothermal resource development in Idaho, several kinds of data were obtained. These include information regarding institutional procedures for geothermal development, logistical procedures for utilization, energy needs and forecasted demands, and resource data. Area reports, data sheets, and scenarios were prepared that described possible geothermal development at individual sites. In preparing development projections, the objective was to base them on actual market potential, forecasted growth, and known or inferred resource conditions. To the extent possible, power-on-line dates and energy utilization estimates are realistic projections of the first events. Commercialization projections were based on the assumption that an aggressive development program will prove sufficient known and inferred resources to accomplish the projected event. This report is an estimate of probable energy developable under an aggressive exploration program and is considered extremely conservative. (MHR)

  8. Graphene Paper Based Nanomaterials for Electrochemical Sensing and Energy Conversion

    DEFF Research Database (Denmark)

    Zhang, Minwei

    Graphene has emerged as a highly interesting material since it was experimentally isolated for the first timein 2004. This single-atom-thick nanosheet consisting of carbon atoms arrayed in a honeycomb pattern,displays outstanding physicochemical properties, including as an excellent conductor...... of heat and electricity,large specific surface area, and high mechanical strength. Therefore, graphene based materials are expected to have great potential for use in the fields of sensors, catalysis, and as electrode materials for energy storage and conversion. In order to link practical applications...... and energy technologies. This PhD project is devoted to the synthesis, characterization and applications of graphene paper based nanomaterials for electrochemical sensors and energy conversion. The thesis is divided into three parts with 8 chapters in total. In Chapter 1, we provide an overview...

  9. Polyaniline (PANi based electrode materials for energy storage and conversion

    Directory of Open Access Journals (Sweden)

    Huanhuan Wang

    2016-09-01

    Full Text Available Polyaniline (PANi as one kind of conducting polymers has been playing a great role in the energy storage and conversion devices besides carbonaceous materials and metallic compounds. Due to high specific capacitance, high flexibility and low cost, PANi has shown great potential in supercapacitor. It alone can be used in fabricating an electrode. However, the inferior stability of PANi limits its application. The combination of PANi and other active materials (carbon materials, metal compounds or other polymers can surpass these intrinsic disadvantages of PANi. This review summarizes the recent progress in PANi based composites for energy storage/conversion, like application in supercapacitors, rechargeable batteries, fuel cells and water hydrolysis. Besides, PANi derived nitrogen-doped carbon materials, which have been widely employed as carbon based electrodes/catalysts, are also involved in this review. PANi as a promising material for energy storage/conversion is deserved for intensive study and further development.

  10. Development of risk-based trading farm scoring system to assist with the control of bovine tuberculosis in cattle in England and Wales.

    Science.gov (United States)

    Adkin, A; Brouwer, A; Simons, R R L; Smith, R P; Arnold, M E; Broughan, J; Kosmider, R; Downs, S H

    2016-01-01

    Identifying and ranking cattle herds with a higher risk of being or becoming infected on known risk factors can help target farm biosecurity, surveillance schemes and reduce spread through animal trading. This paper describes a quantitative approach to develop risk scores, based on the probability of infection in a herd with bovine tuberculosis (bTB), to be used in a risk-based trading (RBT) scheme in England and Wales. To produce a practical scoring system the risk factors included need to be simple and quick to understand, sufficiently informative and derived from centralised national databases to enable verification and assess compliance. A logistic regression identified herd history of bTB, local bTB prevalence, herd size and movements of animals onto farms in batches from high risk areas as being significantly associated with the probability of bTB infection on farm. Risk factors were assigned points using the estimated odds ratios to weight them. The farm risk score was defined as the sum of these individual points yielding a range from 1 to 5 and was calculated for each cattle farm that was trading animals in England and Wales at the start of a year. Within 12 months, of those farms tested, 30.3% of score 5 farms had a breakdown (sensitivity). Of farms scoring 1-4 only 5.4% incurred a breakdown (1-specificity). The use of this risk scoring system within RBT has the potential to reduce infected cattle movements; however, there are cost implications in ensuring that the information underpinning any system is accurate and up to date. Crown Copyright © 2015. Published by Elsevier B.V. All rights reserved.

  11. CREATIV: Research-based innovation for industry energy efficiency

    International Nuclear Information System (INIS)

    Tangen, Grethe; Hemmingsen, Anne Karin T.; Neksa, Petter

    2011-01-01

    Improved energy efficiency is imperative to minimise the greenhouse gas emissions and to ensure future energy security. It is also a key to continued profitability in energy consuming industry. The project CREATIV is a research initiative for industry energy efficiency focusing on utilisation of surplus heat and efficient heating and cooling. In CREATIV, international research groups work together with key vendors of energy efficiency equipment and an industry consortium including the areas metallurgy, pulp and paper, food and fishery, and commercial refrigeration supermarkets. The ambition of CREATIV is to bring forward technology and solutions enabling Norway to reduce both energy consumption and greenhouse gas emissions by 25% within 2020. The main research topics are electricity production from low temperature heat sources in supercritical CO 2 cycles, energy efficient end-user technology for heating and cooling based on natural working fluids and system optimisation, and efficient utilisation of low temperature heat by developing new sorption systems and compact compressor-expander units. A defined innovation strategy in the project will ensure exploitation of research results and promote implementation in industry processes. CREATIV will contribute to the recruitment of competent personnel to industry and academia by educating PhD and post doc candidates and several MSc students. The paper presents the CREATIV project, discusses its scientific achievements so far, and outlines how the project results can contribute to reducing industry energy consumption. - Highlights: → New technology for improved energy efficiency relevant across several industries. → Surplus heat exploitation and efficient heating and cooling are important means. → Focus on power production from low temperature heat and heat pumping technologies. → Education and competence building are given priority. → The project consortium includes 20 international industry companies and

  12. Voltage Sag Source Location Based on Instantaneous Energy Detection

    DEFF Research Database (Denmark)

    Chen, Zhe; Kong, Wei; Dong, Xinzhou

    2008-01-01

    Voltage sag is a major power quality problem, which could disrupt the operation of voltage-sensitive equipment. This paper presents the method based on variation components-based instantaneous energy for voltage sag source detection. Simulations have been performed to provide the thorough analysis...... for system with distributed generation units. The studies show that the presented method can effectively detect the location of voltage sag source....

  13. Renewable Energy for Electric Vehicles : Price Based Charging Coordination

    NARCIS (Netherlands)

    Richstein, J.C.; Schuller, A.; Dinther, C.; Ketter, W.; Weinhardt, C.

    2012-01-01

    In this paper we investigate the charging coordination of battery electric vehicles (BEV) with respect to the availability of intermittent renewable energy generation considering individual real world driving profiles in a deterministic simulation based analysis, mapping a part of the German power

  14. Low-energy nuclear reactions with double-solenoid-based ...

    Indian Academy of Sciences (India)

    The University of Notre Dame, USA (Becchetti et al, Nucl. Instrum. Methods Res. A505, 377 (2003)) and later the University of São Paulo, Brazil (Lichtenthaler et al, Eur. Phys. J. A25, S-01, 733 (2005)) adopted a system based on superconducting solenoids to produce low-energy radioactive nuclear beams. In these systems ...

  15. Nanostructured Mo-based electrode materials for electrochemical energy storage.

    Science.gov (United States)

    Hu, Xianluo; Zhang, Wei; Liu, Xiaoxiao; Mei, Yueni; Huang, Yunhui

    2015-04-21

    The development of advanced energy storage devices is at the forefront of research geared towards a sustainable future. Nanostructured materials are advantageous in offering huge surface to volume ratios, favorable transport features, and attractive physicochemical properties. They have been extensively explored in various fields of energy storage and conversion. This review is focused largely on the recent progress in nanostructured Mo-based electrode materials including molybdenum oxides (MoO(x), 2 ≤ x ≤ 3), dichalconides (MoX2, X = S, Se), and oxysalts for rechargeable lithium/sodium-ion batteries, Mg batteries, and supercapacitors. Mo-based compounds including MoO2, MoO3, MoO(3-y) (0 nanostructured Mo-based compounds, as well as their energy storage applications in lithium/sodium-ion batteries, Mg batteries, and pseudocapacitors. The relationship between nanoarchitectures and electrochemical performances as well as the related charge-storage mechanism is discussed. Moreover, remarks on the challenges and perspectives of Mo-containing compounds for further development in electrochemical energy storage applications are proposed. This review sheds light on the sustainable development of advanced rechargeable batteries and supercapacitors with nanostructured Mo-based electrode materials.

  16. Energy Efficient Routing in Wireless Sensor Networks based on Ant ...

    African Journals Online (AJOL)

    PROF. O. E. OSUAGWU

    2013-09-01

    Sep 1, 2013 ... Ant Colony Optimization, a swarm intelligence based optimization technique, has been successfully used in network routing. In this paper, we introduce a heuristic way to reduce energy consumption in WSNs routing process using Ant Colony Optimization. We introduce three Ant Colony Optimization ...

  17. A Solution Based on Bluetooth Low Energy for Smart Home Energy Management

    OpenAIRE

    Collotta, Mario; Pau, Giovanni

    2015-01-01

    The research and the implementation of home automation are getting more popular because the Internet of Things holds promise for making homes smarter through wireless technologies. The installation of systems based on wireless networks can play a key role also in the extension of the smart grid towards smart homes, that can be deemed as one of the most important components of smart grids. This paper proposes a fuzzy-based solution for smart energy management in a home automation wireless netw...

  18. Assessment and Decomposition of Total Factor Energy Efficiency: An Evidence Based on Energy Shadow Price in China

    OpenAIRE

    Peihao Lai; Minzhe Du; Bing Wang; Ziyue Chen

    2016-01-01

    By adopting an energy-input based directional distance function, we calculated the shadow price of four types of energy (i.e., coal, oil, gas and electricity) among 30 areas in China from 1998 to 2012. Moreover, a macro-energy efficiency index in China was estimated and divided into intra-provincial technical efficiency, allocation efficiency of energy input structure and inter-provincial energy allocation efficiency. It shows that total energy efficiency has decreased in recent years, where ...

  19. Effects of xylanase supplementation on growth performance, nutrient digestibility, blood parameters, fecal microbiota, fecal score and fecal noxious gas emission of weaning pigs fed corn-soybean meal-based diet.

    Science.gov (United States)

    Lan, Ruixia; Li, Tianshui; Kim, Inho

    2017-09-01

    This study was conducted to evaluate the effects of xylanase supplementation on nutrient digestibility, growth performance, blood parameters, fecal microflora shedding, fecal score and fecal noxious gas emission of weaning pigs fed corn-soybean meal based diet. A total of 150 weaning pigs with an average initial body weight (BW) of 7.85 ± 0.93 kg were randomly allocated to three treatments based on BW and sex (10 replicate pens with five pigs, two gilts and three barrows) were used in this 42-day trial. Dietary treatments were: (1) CON, basal diet; (2) X1, basal diet +0.005% xylanase; (2) X2, basal diet +0.01% xylanase. The xylanase supplementation linearly increased (P < 0.05) average daily gain (ADG), and gain : feed ratio (G:F) from days 29 to 42 and the in overall period, dry matter, nitrogen and energy digestibility, and fecal Lactobacilli counts, and linearly decreased (P < 0.05) blood urea nitrogen (BUN) concentration, fecal NH 3 and H 2 S emission. Additionally, at weeks 5 and 6, there was a linear decrease in fecal score with xylanase supplementation. In conclusion, dietary supplementation of xylanase improved growth performance, nutrient digestibility, shifted microbiota by increasing fecal Lactobacillus counts, decreased BUN concentration, fecal score, and fecal NH 3 and H 2 S emission in weaning pigs. © 2017 Japanese Society of Animal Science.

  20. Predictive Score Model for Delayed Graft Function Based on Easily Available Variables before Kidney Donation after Cardiac Death.

    Science.gov (United States)

    Ding, Chen-Guang; Tai, Qian-Hui; Han, Feng; Li, Yang; Tian, Xiao-Hui; Tian, Pu-Xun; Ding, Xiao-Ming; Pan, Xiao-Ming; Zheng, Jin; Xiang, He-Li; Xue, Wu-Jun

    2017-10-20

    How to evaluate the quality of donation after cardiac death (DCD) kidneys has become a critical problem in kidney transplantation in China. Hence, the aim of this study was to develop a simple donor risk score model to evaluate the quality of DCD kidneys before DCD. A total of 543 qualified kidneys were randomized in a 2:1 manner to create the development and validation cohorts. The donor variables in the development cohort were considered as candidate univariate predictors of delayed graft function (DGF). Multivariate logistic regression was then used to identify independent predictors of DGF with P donation and potentially useful for physicians to make optimal decisions about donor organ offers.

  1. FURSMASA: a new approach to rapid scoring functions that uses a MD-averaged potential energy grid and a solvent-accessible surface area term with parameters GA fit to experimental data.

    Science.gov (United States)

    Pearlman, David A; Rao, B Govinda; Charifson, Paul

    2008-05-15

    We demonstrate a new approach to the development of scoring functions through the formulation and parameterization of a new function, which can be used both for rapidly ranking the binding of ligands to proteins and for estimating relative aqueous molecular solubilities. The intent of this work is to introduce a new paradigm for creation of scoring functions, wherein we impose the following criteria upon the function: (1) simple; (2) intuitive; (3) requires no postparameterization tweaking; (4) can be applied (without reparameterization) to multiple target systems; and (5) can be rapidly evaluated for any potential ligand. Following these criteria, a new function, FURSMASA (function for rapid scoring using an MD-averaged grid and the accessible surface area) has been developed. Three novel features of the function include: (1) use of an MD-averaged potential energy grid for ligand-protein interactions, rather than a simple static grid; (2) inclusion of a term that depends on the change in the solvent-accessible surface area changes on an atomic (not molecular) basis; and (3) use of the recently derived predictive index (PI) target when optimizing the function, which focuses the function on its intended purpose of relative ranking. A genetic algorithm is used to optimize the function against test data sets that include ligands for the following proteins: IMPDH, p38, gyrase B, HIV-1, and TACE, as well as the Syracuse Research solubility database. We find that the function is predictive, and can simultaneously fit all the test data sets with cross-validated predictive indices ranging from 0.68 to 0.82. As a test of the ability of this function to predict binding for systems not in the training set, the resulting fitted FURSAMA function is then applied to 23 ligands of the COX-2 enzyme. Comparing the results for COX-2 against those obtained using a variety of well-known rapid scoring functions demonstrates that FURSMASA outperforms all of them in terms of the PI and

  2. The Reliability of Disease Activity Score in 28 Joints-C-Reactive Protein Might Be Overestimated in a Subgroup of Rheumatoid Arthritis Patients, When the Score Is Solely Based on Subjective Parameters

    DEFF Research Database (Denmark)

    Jensen Hansen, Inger Marie; Asmussen Andreasen, Rikke; Van Bui Hansen, Mark Nam

    2017-01-01

    ("subjective group"). Disease Activity Score in 28 Joints, Clinical Disease Activity Index, and Health Assessment Questionnaire scores were calculated for each group. We defined new score, DAS28 subjective, to focus on subjective parameters. RESULTS: Two hundred thirty patients were included; 198 (86......BACKGROUND: Disease Activity Score in 28 Joints (DAS28) is a scoring system to evaluate disease activity and treatment response in rheumatoid arthritis (RA). A DAS28 score of greater than 3.2 is a well-described limit for treatment intensification; however, the reliability of DAS28 might.......1%) and 32 (13.9%) patients were in the objective and subjective groups, respectively. Patients in the subjective group had lower mean values of DAS28 (P

  3. Metal hydride-based thermal energy storage systems

    Science.gov (United States)

    Vajo, John J.; Fang, Zhigang

    2017-10-03

    The invention provides a thermal energy storage system comprising a metal-containing first material with a thermal energy storage density of about 1300 kJ/kg to about 2200 kJ/kg based on hydrogenation; a metal-containing second material with a thermal energy storage density of about 200 kJ/kg to about 1000 kJ/kg based on hydrogenation; and a hydrogen conduit for reversibly transporting hydrogen between the first material and the second material. At a temperature of 20.degree. C. and in 1 hour, at least 90% of the metal is converted to the hydride. At a temperature of 0.degree. C. and in 1 hour, at least 90% of the metal hydride is converted to the metal and hydrogen. The disclosed metal hydride materials have a combination of thermodynamic energy storage densities and kinetic power capabilities that previously have not been demonstrated. This performance enables practical use of thermal energy storage systems for electric vehicle heating and cooling.

  4. Energy Efficient Wireless Sensor Network Modelling Based on Complex Networks

    Directory of Open Access Journals (Sweden)

    Lin Xiao

    2016-01-01

    Full Text Available The power consumption and energy efficiency of wireless sensor network are the significant problems in Internet of Things network. In this paper, we consider the network topology optimization based on complex network theory to solve the energy efficiency problem of WSN. We propose the energy efficient model of WSN according to the basic principle of small world from complex networks. Small world network has clustering features that are similar to that of the rules of the network but also has similarity to random n