WorldWideScience

Sample records for factor analysis shows

  1. [Triglycerides--a long known risk factor for cardiovascular disease. Subgroup analysis shows the importance after acute coronary syndrome].

    Science.gov (United States)

    Olsson, Anders

    2015-09-09

    An increased blood concentration of triglycerides (TG) has long been recognized as an important risk factor for cardiovascular disease. Through competition from HDL cholesterol and the arrival of statin treatment for high LDL cholesterol the importance of TG as risk factor was largely forgotten. A high concentration of TG indicates high blood levels of TG-rich lipoproteins including cholesterol rich remnant particles. Studies using Mendelian randomizations have demonstrated that a low HDL cholesterol does not carry a direct atherogenic function and that remnant particles do so. New efforts should be exercised in order to diminish residual cardiovascular risk during statin treatment through decreasing TG rich lipoproteins.

  2. Whole genome association analysis shows that ACE is a risk factor for Alzheimer's disease and fails to replicate most candidates from Meta-analysis.

    Science.gov (United States)

    Webster, Jennifer; Reiman, Eric M; Zismann, Victoria L; Joshipura, Keta D; Pearson, John V; Hu-Lince, Diane; Huentelman, Matthew J; Craig, David W; Coon, Keith D; Beach, Thomas; Rohrer, Kristen C; Zhao, Alice S; Leung, Doris; Bryden, Leslie; Marlowe, Lauren; Kaleem, Mona; Mastroeni, Diego; Grover, Andrew; Rogers, Joseph; Heun, Reinhard; Jessen, Frank; Kölsch, Heike; Heward, Christopher B; Ravid, Rivka; Hutton, Michael L; Melquist, Stacey; Petersen, Ron C; Caselli, Richard J; Papassotiropoulos, Andreas; Stephan, Dietrich A; Hardy, John; Myers, Amanda

    2010-01-01

    For late onset Alzheimer's disease (LOAD), the only confirmed, genetic association is with the apolipoprotein E (APOE) locus on chromosome 19. Meta-analysis is often employed to sort the true associations from the false positives. LOAD research has the advantage of a continuously updated meta-analysis of candidate gene association studies in the web-based AlzGene database. The top 30 AlzGene loci on May 1(st), 2007 were investigated in our whole genome association data set consisting of 1411 LOAD cases and neuropathoiogicaiiy verified controls genotyped at 312,316 SNPs using the Affymetrix 500K Mapping Platform. Of the 30 "top AlzGenes", 32 SNPs in 24 genes had odds ratios (OR) whose 95% confidence intervals that did not include 1. Of these 32 SNPs, six were part of the Affymetrix 500K Mapping panel and another ten had proxies on the Affymetrix array that had >80% power to detect an association with α=0.001. Two of these 16 SNPs showed significant association with LOAD in our sample series. One was rs4420638 at the APOE locus (uncorrected p-value=4.58E-37) and the other was rs4293, located in the angiotensin converting enzyme (ACE) locus (uncorrected p-value=0.014). Since this result was nominally significant, but did not survive multiple testing correction for 16 independent tests, this association at rs4293 was verified in a geographically distinct German cohort (p-value=0.03). We present the results of our ACE replication aiongwith a discussion of the statistical limitations of multiple test corrections in whole genome studies.

  3. Factor analysis

    CERN Document Server

    Gorsuch, Richard L

    2013-01-01

    Comprehensive and comprehensible, this classic covers the basic and advanced topics essential for using factor analysis as a scientific tool in psychology, education, sociology, and related areas. Emphasizing the usefulness of the techniques, it presents sufficient mathematical background for understanding and sufficient discussion of applications for effective use. This includes not only theory but also the empirical evaluations of the importance of mathematical distinctions for applied scientific analysis.

  4. The People's Show: A Critical Analysis

    OpenAIRE

    Robin Francis

    1996-01-01

    The 1990s heralded a new form of museum exhibition: "The People's Show." A light-hearted celebration of popular culture, the concept has had phenomenal success throughout the United Kingdom. Beneath the humour, however, are more complex and radical agendas relating to cultural rights. The paper explores the issues associated with the rise and possible wane of this museum-based popular cultural phenomenon.

  5. Impact Factors Show Increased Use of AGU Journals in 2008

    Science.gov (United States)

    Ford, Barbara Meyers

    2009-07-01

    The latest numbers released from Journal Citation Reports (JCR), published annually by Thomson Reuters, show large increases in the impact factor (IF) for several AGU journals. IFs are one way for publishers to know that readers have found their journals useful and of value in research. A journal's IF is calculated by taking the total number of citations to articles published by a given journal in the past 2 years and dividing it by the total number of papers published by the journal in the same time period. More generally, it can be seen as the frequency with which articles in a journal have been cited over the past year. The numbers speak for themselves (see Table 1).

  6. Strong Showing for AGU Journals in 2009 Impact Factors

    Science.gov (United States)

    Cook, Bill

    2010-06-01

    AGU publishes great science, which is recognized in several ways. One of the most widely recognized is from Thomson Reuters, which provides the Journal Citation Report (JCR) each year as a component of the Web of Science®. JCR reports on several measures of journal usage, including a journal's Eigenfactor score, its Article Influence score, its Impact Factor, and its rank within a cohort of similar journals. According to the 2009 statistics released last week, AGU again has outperformed its larger competitors. For the twelfth time, two different AGU titles hold the top rank in their categories, and AGU titles hold the second spot in two other categories and third in two more.

  7. This research is to study the factors which influence the business success of small business ‘processed rotan’. The data employed in the study are primary data within the period of July to August 2013, 30 research observations through census method. Method of analysis used in the study is multiple linear regressions. The results of analysis showed that the factors of labor, innovation and promotion have positive and significant influence on the business success of small business ‘processed rotan’ simultaneously. The analysis also showed that partially labor has positive and significant influence on the business success, yet innovation and promotion have insignificant and positive influence on the business success.

    OpenAIRE

    Nasution, Inggrita Gusti Sari; Muchtar, Yasmin Chairunnisa

    2013-01-01

    This research is to study the factors which influence the business success of small business ‘processed rotan’. The data employed in the study are primary data within the period of July to August 2013, 30 research observations through census method. Method of analysis used in the study is multiple linear regressions. The results of analysis showed that the factors of labor, innovation and promotion have positive and significant influence on the business success of small busine...

  8. Foundations of factor analysis

    CERN Document Server

    Mulaik, Stanley A

    2009-01-01

    Introduction Factor Analysis and Structural Theories Brief History of Factor Analysis as a Linear Model Example of Factor AnalysisMathematical Foundations for Factor Analysis Introduction Scalar AlgebraVectorsMatrix AlgebraDeterminants Treatment of Variables as Vectors Maxima and Minima of FunctionsComposite Variables and Linear Transformations Introduction Composite Variables Unweighted Composite VariablesDifferentially Weighted Composites Matrix EquationsMulti

  9. Snacking on Television: A Content Analysis of Adolescents’ Favorite Shows

    Science.gov (United States)

    Larson, Nicole I.; Gollust, Sarah E.; Neumark-Sztainer, Dianne

    2016-01-01

    Introduction Snacking is a complex behavior that may be influenced by entertainment media. Research suggests that snacking and unhealthy foods are commonly shown in programming that targets young audiences, but shows selected for study have been limited. We conducted a content analysis on shows that were named as favorites by adolescents to characterize portrayals of snacking on popular television. Methods A diverse sample of 2,130 adolescents (mean age, 14.3 y) listed 3 favorite television shows in a 2010 school-based survey. Three episodes each of the 25 most popular shows were coded for food-related content, including healthfulness, portion size, screen time use, setting, and social context. We also analyzed the characteristics of characters involved in eating incidents, the show type, and the show rating. We used χ2 tests, binomial tests, and multilevel regression models to compare incidence of snacks versus meals, the characteristics of those involved, and snacking across show characteristics. Results Almost half of food incidents on television shows were snacks. Snacks were significantly more likely than meals to be “mostly unhealthy” (69.3% vs 22.6%, P Sitcoms and shows rated for a youth audience were significantly more likely to portray snacking than were shows for adult audiences. Conclusion Media awareness and literacy programs should include foods and snacking behaviors among the issues they address. More healthful portrayals of food and dietary intake in entertainment shows’ content would create a healthier media environment for youth. PMID:27197079

  10. Bayesian Exploratory Factor Analysis

    DEFF Research Database (Denmark)

    Conti, Gabriella; Frühwirth-Schnatter, Sylvia; Heckman, James J.;

    2014-01-01

    This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor, and the corr......This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor......, and the corresponding factor loadings. Classical identification criteria are applied and integrated into our Bayesian procedure to generate models that are stable and clearly interpretable. A Monte Carlo study confirms the validity of the approach. The method is used to produce interpretable low dimensional aggregates...

  11. Genome-Wide Chromatin Immunoprecipitation Sequencing Analysis Shows that WhiB Is a Transcription Factor That Cocontrols Its Regulon with WhiA To Initiate Developmental Cell Division in Streptomyces

    Directory of Open Access Journals (Sweden)

    Matthew J. Bush

    2016-04-01

    Full Text Available WhiB is the founding member of a family of proteins (the WhiB-like [Wbl] family that carry a [4Fe-4S] iron-sulfur cluster and play key roles in diverse aspects of the biology of actinomycetes, including pathogenesis, antibiotic resistance, and the control of development. In Streptomyces, WhiB is essential for the process of developmentally controlled cell division that leads to sporulation. The biochemical function of Wbl proteins has been controversial; here, we set out to determine unambiguously if WhiB functions as a transcription factor using chromatin immunoprecipitation sequencing (ChIP-seq in Streptomyces venezuelae. In the first demonstration of in vivo genome-wide Wbl binding, we showed that WhiB regulates the expression of key genes required for sporulation by binding upstream of ~240 transcription units. Strikingly, the WhiB regulon is identical to the previously characterized WhiA regulon, providing an explanation for the identical phenotypes of whiA and whiB mutants. Using ChIP-seq, we demonstrated that in vivo DNA binding by WhiA depends on WhiB and vice versa, showing that WhiA and WhiB function cooperatively to control expression of a common set of WhiAB target genes. Finally, we show that mutation of the cysteine residues that coordinate the [4Fe-4S] cluster in WhiB prevents DNA binding by both WhiB and WhiA in vivo.

  12. Bayesian Exploratory Factor Analysis

    DEFF Research Database (Denmark)

    Conti, Gabriella; Frühwirth-Schnatter, Sylvia; Heckman, James J.

    2014-01-01

    This paper develops and applies a Bayesian approach to Exploratory Factor Analysis that improves on ad hoc classical approaches. Our framework relies on dedicated factor models and simultaneously determines the number of factors, the allocation of each measurement to a unique factor......, and the corresponding factor loadings. Classical identification criteria are applied and integrated into our Bayesian procedure to generate models that are stable and clearly interpretable. A Monte Carlo study confirms the validity of the approach. The method is used to produce interpretable low dimensional aggregates...

  13. Takotsubo Cardiomyopathy: A Long Term Follow-up Shows Benefit with Risk Factor Reduction

    Directory of Open Access Journals (Sweden)

    Koroush Khalighi

    2015-11-01

    Full Text Available Only sparse data was available on long-term of Takotusbo Cardiomyopathy (TC. Previous studies suggested prognosis is not necessarily benign. We report the long-term follow-up of 12 TC patients actively managed with risk factor reduction. Retrospective analysis of all patients diagnosed with TC at our hospital between 1998 and 2010. We identified 12 patients with TC among 1651 cases of emergent left heart catheterization over 12 years. Mean follow-up time was 8.3 ± 3.6 years. All were female, 87% had hypertension, 25% had history of Coronary Artery Disease (CAD, 67% had hyperlipidemia, 44% had some preceding emotional trauma, and 44% had some physical/physiological stress. Previous studies have shown that over 50% of TC patients experience future cardiac events, and 10% have a recurrence of TC. Patients were prescribed therapeutic lifestyle changes (TLC and guideline directed medical therapy (GDMT for aggressive risk factor reduction. TLC included diet, exercise, and cardiac rehabilitation. GDMT often included aspirin, beta-blockers, ACE-inhibitors, and statins. Follow-up echocardiograms showed recovery and maintenance of the ejection fraction. There was no cardiac mortality and no recurrences of TC. Aggressive risk factor reduction with TLC and GDMT may be effective in improving the long term outcomes of patients with TC.

  14. Factor Analysis and AIC.

    Science.gov (United States)

    Akaike, Hirotugu

    1987-01-01

    The Akaike Information Criterion (AIC) was introduced to extend the method of maximum likelihood to the multimodel situation. Use of the AIC in factor analysis is interesting when it is viewed as the choice of a Bayesian model; thus, wider applications of AIC are possible. (Author/GDC)

  15. Advertising Discourse Analysis of FES stores: Killing Love, Cowards Show

    Directory of Open Access Journals (Sweden)

    Cristian Venegas Ahumada

    2013-08-01

    Full Text Available The objective is to analyze the structural and photographic discourse of the Autumn-Winter campaign 2008 of FES stores for young people. This was done by a semiotic theory and a critical-structural methodology of discourse. An analysis of 4 advertising photographs was done, and at once an analysis of the discourse “FES says no to violence against Women”, which explains the campaign’s target. The result is: The discourse was subjected to production condition (society of control and makes advertising a way to homogenize subjectivity of masses to consume. Recognition conditions demonstrate that this advertising discourse of symbolic violence means a type of violation of Men and Women Rights. An action like this requires commitment of Psychology in order to promote the social humanizing change, by means of university teaching and professional tasks.

  16. Authenticity and TV Shows: A Multidimensional Analysis Perspective

    Science.gov (United States)

    Al-Surmi, Mansoor

    2012-01-01

    Television shows, especially soap operas and sitcoms, are usually considered by English as a second language practitioners as a source of authentic spoken conversational materials presumably because they reflect the linguistic features of natural conversation. However, practitioners are faced with the dilemma of how to assess whether such…

  17. Mortality risk factors show similar trends in modern and historic populations exposed to plague.

    Science.gov (United States)

    Rubini, Mauro; Gualdi-Russo, Emanuela; Manzon, Vanessa S; Rinaldo, Natascia; Bianucci, Raffaella

    2016-05-31

    Plague has been responsible for two major historic pandemics (6th-8th century CE; 14th-19th century CE) and a modern one. The recent Malagasy plague outbreaks raised new concerns on the deadly potential of the plague-causing bacteria Yersinia pestis. Between September 2014 and April 2015, outbreaks of bubonic and pneumonic plague hit the Malagasy population. Two hundred and sixty-three cases, including 71 deaths, have been reported in 16 different districts with a case fatality rate of 27%. The scope of our study was to ascertain whether the risk factors for health in modern-day populations exposed to plague and in ancient populations that faced the two historic pandemics varied or remained substantially unaltered. The risk of mortality of the Malagasy population with those obtained from the reconstruction of three samples of European populations exposed to the historic pandemics was contrasted. The evidence shows that the risks of death are not uniform across age neither in modern nor in historic populations exposed to plague and shows precise concentrations in specific age groups (children between five and nine years of age and young adults). Although in the post-antibiotic era, the fatality rates have drastically reduced, both modern and historic populations were exposed to the same risk factors that are essentially represented by a low standard of environmental hygiene, poor nutrition, and weak health systems.

  18. Doppler Sonography Confirmation in Patients Showing Calcified Carotid Artery Atheroma in Panoramic Radiography and Evaluation of Related Risk Factors

    Directory of Open Access Journals (Sweden)

    Mahrokh Imanimoghaddam

    2012-02-01

    Full Text Available Background and aims. The purpose of this study was to identify patients at the risk of cerebrovascular attack (CVA by detecting calcified carotid artery atheroma (CCAA in panoramic radiography and evaluating their risk factors. Materials and methods. A total of 960 panoramic radiographs of patients above 40 years old were evaluated. Doppler Sonography (DS was performed for patients who showed calcified carotid artery atheroma (CCAA in panoramic radiography in order to determine the presence of CCAA and the degree of stenosis. Cardiovascular risk factors in both groups of patients with CCAA (12 subjects and without CCAA (3 subjects were compared using a questionnaire filled out by the patients. Statistical analysis including Fisher and independent t-test applied for data analysis. Results. Fifteen patients (30 sides showed calcification in their panoramic radiographs, and underwent DS which revealed CCAA in 16 sides (12 patients. Two patients (13.33% showed stenosis greater than 70%. Among the risk factors, only age showed a significant association with the occurrence of carotid calcified atheroma (P=0.026. Conclusion. Considering the results, dentists should refer especially elderly patients with radiographically identified atheromas for further examinations, as asymptomatic CCAA might be associated with high degrees of stenosis.

  19. Factor analysis of multivariate data

    Digital Repository Service at National Institute of Oceanography (India)

    Fernandes, A.A.; Mahadevan, R.

    A brief introduction to factor analysis is presented. A FORTRAN program, which can perform the Q-mode and R-mode factor analysis and the singular value decomposition of a given data matrix is presented in Appendix B. This computer program, uses...

  20. Factor Analysis of Intern Effectiveness

    Science.gov (United States)

    Womack, Sid T.; Hannah, Shellie Louise; Bell, Columbus David

    2012-01-01

    Four factors in teaching intern effectiveness, as measured by a Praxis III-similar instrument, were found among observational data of teaching interns during the 2010 spring semester. Those factors were lesson planning, teacher/student reflection, fairness & safe environment, and professionalism/efficacy. This factor analysis was as much of a…

  1. Factor analysis and missing data

    NARCIS (Netherlands)

    Kamakura, WA; Wedel, M

    2000-01-01

    The authors study the estimation of factor models and the imputation of missing data and propose an approach that provides direct estimates of factor weights without the replacement of missing data with imputed values. First, the approach is useful in applications of factor analysis in the presence

  2. Kernel Factor Analysis Algorithm with Varimax

    Institute of Scientific and Technical Information of China (English)

    Xia Guoen; Jin Weidong; Zhang Gexiang

    2006-01-01

    Kernal factor analysis (KFA) with varimax was proposed by using Mercer kernel function which can map the data in the original space to a high-dimensional feature space, and was compared with the kernel principle component analysis (KPCA). The results show that the best error rate in handwritten digit recognition by kernel factor analysis with varimax (4.2%) was superior to KPCA (4.4%). The KFA with varimax could more accurately image handwritten digit recognition.

  3. Factors secreted from dental pulp stem cells show multifaceted benefits for treating experimental rheumatoid arthritis.

    Science.gov (United States)

    Ishikawa, Jun; Takahashi, Nobunori; Matsumoto, Takuya; Yoshioka, Yutaka; Yamamoto, Noriyuki; Nishikawa, Masaya; Hibi, Hideharu; Ishigro, Naoki; Ueda, Minoru; Furukawa, Koichi; Yamamoto, Akihito

    2016-02-01

    Rheumatoid arthritis (RA) is an autoimmune disease characterized by synovial hyperplasia and chronic inflammation, which lead to the progressive destruction of cartilage and bone in the joints. Numerous studies have reported that administrations of various types of MSCs improve arthritis symptoms in animal models, by paracrine mechanisms. However, the therapeutic effects of the secreted factors alone, without the cell graft, have been uncertain. Here, we show that a single intravenous administration of serum-free conditioned medium (CM) from human deciduous dental pulp stem cells (SHED-CM) into anti-collagen type II antibody-induced arthritis (CAIA), a mouse model of rheumatoid arthritis (RA), markedly improved the arthritis symptoms and joint destruction. The therapeutic efficacy of SHED-CM was associated with an induction of anti-inflammatory M2 macrophages in the CAIA joints and the abrogation of RANKL expression. SHED-CM specifically depleted of an M2 macrophage inducer, the secreted ectodomain of sialic acid-binding Ig-like lectin-9 (ED-Siglec-9), exhibited a reduced ability to induce M2-related gene expression and attenuate CAIA. SHED-CM also inhibited the RANKL-induced osteoclastogenesis in vitro. Collectively, our findings suggest that SHED-CM provides multifaceted therapeutic effects for treating CAIA, including the ED-Siglec-9-dependent induction of M2 macrophage polarization and inhibition of osteoclastogenesis. Thus, SHED-CM may represent a novel anti-inflammatory and reparative therapy for RA.

  4. Alcohol-related genes show an enrichment of associations with a persistent externalizing factor.

    Science.gov (United States)

    Ashenhurst, James R; Harden, K Paige; Corbin, William R; Fromme, Kim

    2016-10-01

    Research using twins has found that much of the variability in externalizing phenotypes-including alcohol and drug use, impulsive personality traits, risky sex, and property crime-is explained by genetic factors. Nevertheless, identification of specific genes and variants associated with these traits has proven to be difficult, likely because individual differences in externalizing are explained by many genes of small individual effect. Moreover, twin research indicates that heritable variance in externalizing behaviors is mostly shared across the externalizing spectrum rather than specific to any behavior. We use a longitudinal, "deep phenotyping" approach to model a general externalizing factor reflecting persistent engagement in a variety of socially problematic behaviors measured at 11 assessment occasions spanning early adulthood (ages 18 to 28). In an ancestrally homogenous sample of non-Hispanic Whites (N = 337), we then tested for enrichment of associations between the persistent externalizing factor and a set of 3,281 polymorphisms within 104 genes that were previously identified as associated with alcohol-use behaviors. Next, we tested for enrichment among domain-specific factors (e.g., property crime) composed of residual variance not accounted for by the common factor. Significance was determined relative to bootstrapped empirical thresholds derived from permutations of phenotypic data. Results indicated significant enrichment of genetic associations for persistent externalizing, but not for domain-specific factors. Consistent with twin research findings, these results suggest that genetic variants are broadly associated with externalizing behaviors rather than unique to specific behaviors. (PsycINFO Database Record

  5. First course in factor analysis

    CERN Document Server

    Comrey, Andrew L

    2013-01-01

    The goal of this book is to foster a basic understanding of factor analytic techniques so that readers can use them in their own research and critically evaluate their use by other researchers. Both the underlying theory and correct application are emphasized. The theory is presented through the mathematical basis of the most common factor analytic models and several methods used in factor analysis. On the application side, considerable attention is given to the extraction problem, the rotation problem, and the interpretation of factor analytic results. Hence, readers are given a background of

  6. Proteome Analysis of the Plant Pathogenic Fungus Monilinia laxa Showing Host Specificity

    Directory of Open Access Journals (Sweden)

    Olja Bregar

    2012-01-01

    Full Text Available Brown rot fungus Monilinia laxa (Aderh. & Ruhl. Honey is an important plant pathogen in stone and pome fruits in Europe. We applied a proteomic approach in a study of M. laxa isolates obtained from apples and apricots in order to show the host specifity of the isolates and to analyse differentially expressed proteins in terms of host specifity, fungal pathogenicity and identification of candidate proteins for diagnostic marker development. Extracted mycelium proteins were separated by 2-D electrophoresis (2-DE and visualized by Coomassie staining in a non-linear pH range of 3–11 and Mr of 14–116 kDa. We set up a 2-DE reference map of M. laxa, resolving up to 800 protein spots, and used it for image analysis. The average technical coefficient of variance (13 % demonstrated a high reproducibility of protein extraction and 2-D polyacrylamide gel electrophoresis (2-DE PAGE, and the average biological coefficient of variance (23 % enabled differential proteomic analysis of the isolates. Multivariate statistical analysis (principal component analysis discriminated isolates from two different hosts, providing new data that support the existence of a M. laxa specialized form f. sp. mali, which infects only apples. A total of 50 differentially expressed proteins were further analyzed by LC-MS/MS, yielding 41 positive identifications. The identified mycelial proteins were functionally classified into 6 groups: amino acid and protein metabolism, energy production, carbohydrate metabolism, stress response, fatty acid metabolism and other proteins. Some proteins expressed only in apple isolates have been described as virulence factors in other fungi. The acetolactate synthase was almost 11-fold more abundant in apple-specific isolates than in apricot isolates and it might be implicated in M. laxa host specificity. Ten proteins identified only in apple isolates are potential candidates for the development of M. laxa host-specific diagnostic markers.

  7. Recidivism in female offenders: PCL-R lifestyle factor and VRAG show predictive validity in a German sample.

    Science.gov (United States)

    Eisenbarth, Hedwig; Osterheider, Michael; Nedopil, Norbert; Stadtland, Cornelis

    2012-01-01

    A clear and structured approach to evidence-based and gender-specific risk assessment of violence in female offenders is high on political and mental health agendas. However, most data on the factors involved in risk-assessment instruments are based on data of male offenders. The aim of the present study was to validate the use of the Psychopathy Checklist Revised (PCL-R), the HCR-20 and the Violence Risk Appraisal Guide (VRAG) for the prediction of recidivism in German female offenders. This study is part of the Munich Prognosis Project (MPP). It focuses on a subsample of female delinquents (n = 80) who had been referred for forensic-psychiatric evaluation prior to sentencing. The mean time at risk was 8 years (SD = 5 years; range: 1-18 years). During this time, 31% (n = 25) of the female offenders were reconvicted, 5% (n = 4) for violent and 26% (n = 21) for non-violent re-offenses. The predictive validity of the PCL-R for general recidivism was calculated. Analysis with receiver-operating characteristics revealed that the PCL-R total score, the PCL-R antisocial lifestyle factor, the PCL-R lifestyle factor and the PCL-R impulsive and irresponsible behavioral style factor had a moderate predictive validity for general recidivism (area under the curve, AUC = 0.66, p = 0.02). The VRAG has also demonstrated predictive validity (AUC = 0.72, p = 0.02), whereas the HCR-20 showed no predictive validity. These results appear to provide the first evidence that the PCL-R total score and the antisocial lifestyle factor are predictive for general female recidivism, as has been shown consistently for male recidivists. The implications of these findings for crime prevention, prognosis in women, and future research are discussed.

  8. Cooperative genome-wide analysis shows increased homozygosity in early onset Parkinson's disease.

    Directory of Open Access Journals (Sweden)

    Javier Simón-Sánchez

    Full Text Available Parkinson's disease (PD occurs in both familial and sporadic forms, and both monogenic and complex genetic factors have been identified. Early onset PD (EOPD is particularly associated with autosomal recessive (AR mutations, and three genes, PARK2, PARK7 and PINK1, have been found to carry mutations leading to AR disease. Since mutations in these genes account for less than 10% of EOPD patients, we hypothesized that further recessive genetic factors are involved in this disorder, which may appear in extended runs of homozygosity.We carried out genome wide SNP genotyping to look for extended runs of homozygosity (ROHs in 1,445 EOPD cases and 6,987 controls. Logistic regression analyses showed an increased level of genomic homozygosity in EOPD cases compared to controls. These differences are larger for ROH of 9 Mb and above, where there is a more than three-fold increase in the proportion of cases carrying a ROH. These differences are not explained by occult recessive mutations at existing loci. Controlling for genome wide homozygosity in logistic regression analyses increased the differences between cases and controls, indicating that in EOPD cases ROHs do not simply relate to genome wide measures of inbreeding. Homozygosity at a locus on chromosome19p13.3 was identified as being more common in EOPD cases as compared to controls. Sequencing analysis of genes and predicted transcripts within this locus failed to identify a novel mutation causing EOPD in our cohort.There is an increased rate of genome wide homozygosity in EOPD, as measured by an increase in ROHs. These ROHs are a signature of inbreeding and do not necessarily harbour disease-causing genetic variants. Although there might be other regions of interest apart from chromosome 19p13.3, we lack the power to detect them with this analysis.

  9. Retrospective Analysis of Patient Presentations at the Sydney (Australia) Royal Easter Show from 2012 to 2014.

    Science.gov (United States)

    Crabtree, Nathan; Mo, Shirley; Ong, Leon; Jegathees, Thuvarahan; Wei, Daniel; Fahey, David; Liu, Jia Jenny

    2017-04-01

    Introduction Comprehensive studies on the relationship between patient demographics and subsequent treatment and disposition at a single mass-gathering event are lacking. The Sydney Royal Easter Show (SRES; Sydney Olympic Park, New South Wales, Australia) is an annual, 14-day, agricultural mass-gathering event occurring around the Easter weekend, attracting more than 800,000 patrons per year. In this study, patient records from the SRES were analyzed to examine relationships between weather, crowd size, day of week, and demographics on treatment and disposition. This information would help to predict factors affecting patient treatment and disposition to guide ongoing training of first responders and to evaluate the appropriateness of staffing skills mix at future events. Hypothesis Patient demographics, environmental factors, and attendance would influence the nature and severity of presentations at the SRES, which would influence staffing requirements. A retrospective analysis of 4,141 patient record forms was performed for patients who presented to St John Ambulance (Australian Capital Territory, Australia) at the SRES between 2012 and 2014 inclusive. Presentation type was classified using a previously published minimum data set. Data on weather and crowd size were obtained from the Australian Bureau of Meteorology (Melbourne, Victoria, Australia) and the SRES, respectively. Statistical analyses were performed using SPSS v22 (IBM; Armonk, New York USA). Between 2012 to 2014, over 2.5 million people attended the SRES with 4,141 patients treated onsite. As expected, the majority of presentations were injuries (49%) and illnesses (46%). Although patient demographics and presentation types did not change over time, the duration of treatment increased. A higher proportion of patients were discharged to hospital or home compared to the proportion of patients discharged back to the event. Patients from rural/regional locations (accounting for 15% of all patients) were

  10. Live Reporting in a News / Current Affairs TV Show as a Factor of (Non Credibility

    Directory of Open Access Journals (Sweden)

    Tena Perišin

    2010-12-01

    Full Text Available Only a perfunctory glance at the content of current aff airs/news programs makes it clear that in just a few years time, live reporting on Croatian TV news shows has increased dramatically. Technologicaladvancements, the equipping of TV stations with mobile satellite vans, and the pressure of competition have all resulted in increased instances of live reporting. When investigating news values, pictureand sound, as well as the possibility of immediate, timely reporting represent the key characteristics of TV journalism. In this context, live reports, as part of a news segment, should add to the authenticity and credibility of the program. Currently, however, TV broadcasting houses attempt to best one another in the number of live broadcasts as a means to purport a higher quality of their program. The direct address to the camera turns a reporter from an anonymous bearer of information into the “main star”. The figures accumulated on the extent of this form used in a news show do not determine the professional level of the editorial policy. Live reporting cannot be regarded as news value if other news values are neglected in the process. Recent research shows that live reports, in most cases, have been stripped of the initial notion of reporting on important and recent events. As such, they are becoming less of a justifi ed element in the creation of news.

  11. Transforming Rubrics Using Factor Analysis

    Science.gov (United States)

    Baryla, Ed; Shelley, Gary; Trainor, William

    2012-01-01

    Student learning and program effectiveness is often assessed using rubrics. While much time and effort may go into their creation, it is equally important to assess how effective and efficient the rubrics actually are in terms of measuring competencies over a number of criteria. This study demonstrates the use of common factor analysis to identify…

  12. Natural and anthropogenic factors which inf luence aerosol distribution in Ingleborough Show Cave, UK

    Directory of Open Access Journals (Sweden)

    Smith Andrew C.

    2013-01-01

    Full Text Available Monitoring in Ingleborough Show Cave (N. Yorkshire, UK reveals the inf luence of tourism and cave management techniques on different parameters of the cave atmosphere. Exploratory aerosol monitoring identif ied a 0.015 ± 0.03 mg/m3 (≈70% reduction in airborne particulates within the f irst 75 meters of cave passage and two major aerosol sources within this artif icially ventilated show cave. Autogenic aerosol production was identif ied close to active stream ways (increases of <0.012 mg/m3, suggesting the expulsion of water-borne aerosols during turbulent water f low. The presence of tourist groups also increased aerosol concentrations within the cave (increases of <0.021 mg/m3, either by transporting them from an allogenic source or through the disturbance of particles which had previously been deposited within the cave environment. Exploratory aerosol data is presented alongside more routine analytical monitoring, helping to contextualise the impact of cave management strategies on natural cave atmospherics.

  13. Interdisciplinarity, Debate And Movie Clips As Highly Motivating Factors In Live Shows - Five Years Of Success

    Science.gov (United States)

    Stengler, E.; Sirera, J. M.

    2011-09-01

    A live show on any subject that includes experiments and continuous interaction with the audience is a well known approach for EPO activities that many are carrying out all over. We present such an initiative with some added ingredients such as interdisciplinarity, the use of movie clips, and especially the debate between the two presenters, a debate that is all the more attractive to the public if it not fully staged but closely represents their actual points of view. José Montesinos, from the "Orotava" Canarian Foundation for the History of Science, is and plays the role of the more mature math professor who has grown weary of the overrated value given in science to mathematics and its consequences. This poses a constant challenge to his colleague, Erik Stengler, from the Science Museum of Tenerife, the young down-to-earth hands-on scientist, who defends the usual view that science and technology are to be judged by their achievements, which have brought about the advancement of modern society. With this approach and as a collaboration between our institutions, we have produced and toured highly successful activities on: Einstein and Relativity (from 2005 to 2008, "Einstein Goes To School," including a theatre play); circularity, the number π, forces of inertia and the Newtonian revolution (in 2008/2009, "The Tension Between Circularity and The Straight Line"); and the foundations of modern astronomy (in 2009/2010 "Kepler and Galileo, Messengers of the Stars"). Audiences were very varied - students, adult students, general public, prison inmates, teachers - and all appreciated the presentations as fun, thought-provoking and highly motivating, and valued especially the interdisciplinary character of the activity. Movie clips have shown to be especially useful to recover the attention of the young when they lose the thread due to the short attention spans they presently have.

  14. Factor analysis of serogroups botanica and aurisina of Leptospira biflexa.

    Science.gov (United States)

    Cinco, M

    1977-11-01

    Factor analysis is performed on serovars of Botanica and Aurisina serogroup of Leptospira biflexa. The results show the arrangement of main factors serovar and serogroup specific, as well as the antigens common with serovars of heterologous serogroups.

  15. An easy guide to factor analysis

    CERN Document Server

    Kline, Paul

    2014-01-01

    Factor analysis is a statistical technique widely used in psychology and the social sciences. With the advent of powerful computers, factor analysis and other multivariate methods are now available to many more people. An Easy Guide to Factor Analysis presents and explains factor analysis as clearly and simply as possible. The author, Paul Kline, carefully defines all statistical terms and demonstrates step-by-step how to work out a simple example of principal components analysis and rotation. He further explains other methods of factor analysis, including confirmatory and path analysis, a

  16. Molecular epidemiological analysis of Mycoplasma bovis isolates from the United Kingdom shows two genetically distinct clusters

    DEFF Research Database (Denmark)

    McAuliffe, Laura; Kokotovic, Branko; Ayling, Roger D.

    2004-01-01

    Mycoplasma bovis is an important veterinary pathogen causing pneumonia, arthritis, and mastitis in infected cattle. We investigated the genetic diversity of 53 isolates collected in the United Kingdom between 1996 and 2002 with pulsed-field gel electrophoresis (PFGE), amplified fragment length...... polymorphism (AFLP), and random amplified polymorphic DNA (RAPD) analysis. In addition, the influence of variable surface protein (Vsp) profiles on the profiles generated with molecular typing techniques was studied. Both AFLP and RAPD separated the isolates into two distinct groups, but PFGE showed less...

  17. Analysis of competition performance in dressage and show jumping of Dutch Warmblood horses.

    Science.gov (United States)

    Rovere, G; Ducro, B J; van Arendonk, J A M; Norberg, E; Madsen, P

    2016-12-01

    Most Warmblood horse studbooks aim to improve the performance in dressage and show jumping. The Dutch Royal Warmblood Studbook (KWPN) includes the highest score achieved in competition by a horse to evaluate its genetic ability of performance. However, the records collected during competition are associated with some aspects that might affect the quality of the genetic evaluation based on these records. These aspects include the influence of rider, censoring and preselection of the data. The aim of this study was to quantify the impact of rider effect, censoring and preselection on the genetic analysis of competition data of dressage and show jumping of KWPN. Different models including rider effect were evaluated. To assess the impact of censoring, genetic parameters were estimated in data sets that differed in the degree of censoring. The effect of preselection on variance components was analysed by defining a binary trait (sport-status) depending on whether the horse has a competition record or not. This trait was included in a bivariate model with the competition trait and used all horses registered by KWPN since 1984. Results showed that performance in competition for dressage and show jumping is a heritable trait (h(2) ~ 0.11-0.13) and that it is important to account for the effect of rider in the genetic analysis. Censoring had a small effect on the genetic parameter for highest performance achieved by the horse. A moderate heritability obtained for sport-status indicates that preselection has a genetic basis, but the effect on genetic parameters was relatively small.

  18. Human Factors Analysis in Software Engineering

    Institute of Scientific and Technical Information of China (English)

    Xu Ren-zuo; Ma Ruo-feng; Liu Li-na; Xiong Zhong-wei

    2004-01-01

    The general human factors analysis analyzes human functions, effects and influence in a system. But in a narrow sense, it analyzes human influence upon the reliability of a system, it includes traditional human reliability analysis, human error analysis, man-machine interface analysis, human character analysis, and others. A software development project in software engineering is successful or not to be completely determined by human factors. In this paper, we discuss the human factors intensions, declare the importance of human factors analysis for software engineering by listed some instances. At last, we probe preliminarily into the mentality that a practitioner in software engineering should possess.

  19. Network Analysis Shows Novel Molecular Mechanisms of Action for Copper-Based Chemotherapy

    Science.gov (United States)

    Espinal-Enríquez, Jesús; Hernández-Lemus, Enrique; Mejía, Carmen; Ruiz-Azuara, Lena

    2016-01-01

    The understanding of the mechanisms associated with the action of chemotherapeutic agents is fundamental to assess and account for possible side-effects of such treatments. Casiopeínas have demonstrated a cytotoxic effect by activation of pro-apoptotic processes in malignant cells. Such processes have been proved to activate the apoptotic intrinsic route, as well as cell cycle arrest. Despite this knowledge, the whole mechanism of action of Casiopeínas is yet to be completely understood. In this work we implement a systems biology approach based on two pathway analysis tools (Over-Representation Analysis and Causal Network Analysis) to observe changes in some hallmarks of cancer, induced by this copper-based chemotherapeutic agent in HeLa cell lines. We find that the metabolism of metal ions is exacerbated, as well as cell division processes being globally diminished. We also show that cellular migration and proliferation events are decreased. Moreover, the molecular mechanisms of liver protection are increased in the cell cultures under the actions of Casiopeínas, unlike the case in many other cytotoxic drugs. We argue that this chemotherapeutic agent may be promising, given its protective hepatic function, concomitant with its cytotoxic participation in the onset of apoptotic processes in malignant cells. PMID:26793116

  20. Mycalamide A Shows Cytotoxic Properties and Prevents EGF-Induced Neoplastic Transformation through Inhibition of Nuclear Factors

    Science.gov (United States)

    Dyshlovoy, Sergey A.; Fedorov, Sergey N.; Kalinovsky, Anatoly I.; Shubina, Larisa K.; Bokemeyer, Carsten; Stonik, Valentin A.; Honecker, Friedemann

    2012-01-01

    Mycalamide A, a marine natural compound previously isolated from sponges, is known as a protein synthesis inhibitor with potent antitumor activity. However, the ability of this compound to prevent malignant transformation of cells has never been examined before. Here, for the first time, we report the isolation of mycalamide A from ascidian Polysincraton sp. as well as investigation of its cancer preventive properties. In murine JB6 Cl41 P+ cells, mycalamide A inhibited epidermal growth factor (EGF)-induced neoplastic transformation, and induced apoptosis at subnanomolar or nanomolar concentrations. The compound inhibited transcriptional activity of the oncogenic nuclear factors AP-1 and NF-κB, a potential mechanism of its cancer preventive properties. Induction of phosphorylation of the kinases MAPK p38, JNK, and ERK was also observed at high concentrations of mycalamide A. The drug shows promising potential for both cancer-prevention and cytotoxic therapy and should be further developed. PMID:22822368

  1. A factor analysis to detect factors influencing building national brand

    Directory of Open Access Journals (Sweden)

    Naser Azad

    Full Text Available Developing a national brand is one of the most important issues for development of a brand. In this study, we present factor analysis to detect the most important factors in building a national brand. The proposed study uses factor analysis to extract the most influencing factors and the sample size has been chosen from two major auto makers in Iran called Iran Khodro and Saipa. The questionnaire was designed in Likert scale and distributed among 235 experts. Cronbach alpha is calculated as 84%, which is well above the minimum desirable limit of 0.70. The implementation of factor analysis provides six factors including “cultural image of customers”, “exciting characteristics”, “competitive pricing strategies”, “perception image” and “previous perceptions”.

  2. Measurement Bias Detection through Factor Analysis

    Science.gov (United States)

    Barendse, M. T.; Oort, F. J.; Werner, C. S.; Ligtvoet, R.; Schermelleh-Engel, K.

    2012-01-01

    Measurement bias is defined as a violation of measurement invariance, which can be investigated through multigroup factor analysis (MGFA), by testing across-group differences in intercepts (uniform bias) and factor loadings (nonuniform bias). Restricted factor analysis (RFA) can also be used to detect measurement bias. To also enable nonuniform…

  3. Scalable group level probabilistic sparse factor analysis

    DEFF Research Database (Denmark)

    Hinrich, Jesper Løve; Nielsen, Søren Føns Vind; Riis, Nicolai Andre Brogaard

    2017-01-01

    Many data-driven approaches exist to extract neural representations of functional magnetic resonance imaging (fMRI) data, but most of them lack a proper probabilistic formulation. We propose a scalable group level probabilistic sparse factor analysis (psFA) allowing spatially sparse maps, component...... pruning using automatic relevance determination (ARD) and subject specific heteroscedastic spatial noise modeling. For task-based and resting state fMRI, we show that the sparsity constraint gives rise to components similar to those obtained by group independent component analysis. The noise modeling...... shows that noise is reduced in areas typically associated with activation by the experimental design. The psFA model identifies sparse components and the probabilistic setting provides a natural way to handle parameter uncertainties. The variational Bayesian framework easily extends to more complex...

  4. Analysis of allergen immunotherapy studies shows increased clinical efficacy in highly symptomatic patients

    DEFF Research Database (Denmark)

    Howarth, P; Malling, Hans-Jørgen; Molimard, M;

    2011-01-01

    To cite this article: Howarth P, Malling H-J, Molimard M, Devillier P. Analysis of allergen immunotherapy studies shows increased clinical efficacy in highly symptomatic patients. Allergy 2012; 67: 321-327. ABSTRACT: Background:  The assessment of allergen immunotherapy (AIT) efficacy...... in the treatment for seasonal allergic rhinoconjunctivitis (SAR) symptoms is challenging. Allergen immunotherapy differs from symptomatic therapy in that while symptomatic therapy treats patients after symptoms appear and aims to reduce symptoms, AIT is administered before symptoms are present and aims to prevent...... them. Thus, clinical studies of AIT can neither establish baseline symptom levels nor limit the enrolment of patients to those with the most severe symptoms. Allergen immunotherapy treatment effects are therefore diluted by patients with low symptoms for a particular pollen season. The objective...

  5. Proteomic analysis shows synthetic oleanane triterpenoid binds to mTOR.

    Directory of Open Access Journals (Sweden)

    Mark M Yore

    Full Text Available New multifunctional drugs that target multiple disease-relevant networks offer a novel approach to the prevention and treatment of many diseases. New synthetic oleanane triterpenoids (SO, such as CDDO (2-cyano-3,12-dioxooleana-1,9-dien-28-oic acid and its derivatives, are multifunctional compounds originally developed for the prevention and treatment of inflammation and oxidative stress. However, the protein binding partners and mechanisms of action of these SO are not yet fully understood. Here we characterize the putative target profile of one SO, CDDO-Imidazolide (CDDO-Im, by combining affinity purification with mass spectroscopic proteomic analysis to identify 577 candidate binding proteins in whole cells. This SO pharmaco-interactome consists of a diverse but interconnected set of signaling networks; bioinformatic analysis of the protein interactome identified canonical signaling pathways targeted by the SO, including retinoic acid receptor (RAR, estrogen receptor (ER, insulin receptor (IR, janus kinase/signal transducers and activators of transcription (JAK/STAT, and phosphatase and tensin homolog (PTEN. Pull-down studies then further validated a subset of the putative targets. In addition, we now show for the first time that the mammalian target of rapamycin (mTOR is a direct target of CDDO-Im. We also show that CDDO-Im blocks insulin-induced activation of this pathway by binding to mTOR and inhibiting its kinase activity. Our basic studies confirm that the SO, CDDO-Im, acts on a protein network to elicit its pharmacological activity.

  6. Dental microwear texture analysis shows within-species diet variability in fossil hominins.

    Science.gov (United States)

    Scott, Robert S; Ungar, Peter S; Bergstrom, Torbjorn S; Brown, Christopher A; Grine, Frederick E; Teaford, Mark F; Walker, Alan

    2005-08-04

    Reconstructing the diets of extinct hominins is essential to understanding the paleobiology and evolutionary history of our lineage. Dental microwear, the study of microscopic tooth-wear resulting from use, provides direct evidence of what an individual ate in the past. Unfortunately, established methods of studying microwear are plagued with low repeatability and high observer error. Here we apply an objective, repeatable approach for studying three-dimensional microwear surface texture to extinct South African hominins. Scanning confocal microscopy together with scale-sensitive fractal analysis are used to characterize the complexity and anisotropy of microwear. Results for living primates show that this approach can distinguish among diets characterized by different fracture properties. When applied to hominins, microwear texture analysis indicates that Australopithecus africanus microwear is more anisotropic, but also more variable in anisotropy than Paranthropus robustus. This latter species has more complex microwear textures, but is also more variable in complexity than A. africanus. This suggests that A. africanus ate more tough foods and P. robustus consumed more hard and brittle items, but that both had variable and overlapping diets.

  7. Nominal Performance Biosphere Dose Conversion Factor Analysis

    Energy Technology Data Exchange (ETDEWEB)

    M.A. Wasiolek

    2005-04-28

    This analysis report is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the Total System Performance Assessment (TSPA) for the license application (LA) for the Yucca Mountain repository. This analysis report describes the development of biosphere dose conversion factors (BDCFs) for the groundwater exposure scenario, and the development of conversion factors for assessing compliance with the groundwater protection standards. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and provides an understanding of how this analysis report contributes to biosphere modeling. This report is one of two reports that develop BDCFs, which are input parameters for the TSPA-LA model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the ERMYN conceptual model and mathematical model. The input parameter reports, shown to the right of the ''Biosphere Model Report'' in Figure 1-1, contain detailed description of the model input parameters, their development, and the relationship between the parameters and specific features events and processes (FEPs). This report describes biosphere model calculations and their output, the BDCFs, for the groundwater exposure scenario. This analysis receives direct input from the outputs of the ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) and the five analyses that develop parameter values for the biosphere model (BSC 2005 [DIRS 172827]; BSC 2004 [DIRS 169672]; BSC 2004 [DIRS 169673]; BSC 2004 [DIRS 169458]; BSC 2004 [DIRS 169459]). The results of this report are further analyzed in the ''Biosphere Dose Conversion Factor Importance and Sensitivity Analysis

  8. HIV-1 phylogenetic analysis shows HIV-1 transits through the meninges to brain and peripheral tissues.

    Science.gov (United States)

    Lamers, Susanna L; Gray, Rebecca R; Salemi, Marco; Huysentruyt, Leanne C; McGrath, Michael S

    2011-01-01

    Brain infection by the human immunodeficiency virus type 1 (HIV-1) has been investigated in many reports with a variety of conclusions concerning the time of entry and degree of viral compartmentalization. To address these diverse findings, we sequenced HIV-1 gp120 clones from a wide range of brain, peripheral and meningeal tissues from five patients who died from several HIV-1 associated disease pathologies. High-resolution phylogenetic analysis confirmed previous studies that showed a significant degree of compartmentalization in brain and peripheral tissue subpopulations. Some intermixing between the HIV-1 subpopulations was evident, especially in patients that died from pathologies other than HIV-associated dementia. Interestingly, the major tissue harboring virus from both the brain and peripheral tissues was the meninges. These results show that (1) HIV-1 is clearly capable of migrating out of the brain, (2) the meninges are the most likely primary transport tissues, and (3) infected brain macrophages comprise an important HIV reservoir during highly active antiretroviral therapy.

  9. Genome-wide expression analysis of soybean MADS genes showing potential function in the seed development.

    Directory of Open Access Journals (Sweden)

    Cheng-Ming Fan

    Full Text Available The MADS family is an ancient and best-studied transcription factor and plays fundamental roles in almost every developmental process in plants. In the plant evolutionary history, the whole genome duplication (WGD events are important not only to the plant species evolution, but to expansion of members of the gene families. Soybean as a model legume crop has experience three rounds of WGD events. Members of some MIKC(C subfamilies, such as SOC, AGL6, SQUA, SVP, AGL17 and DEF/GLO, were expanded after soybean three rounds of WGD events. And some MIKC(C subfamilies, MIKC* and type I MADS families had experienced faster birth-and-death evolution and their traces before the Glycine WGD event were not found. Transposed duplication played important roles in tandem arrangements among the members of different subfamilies. According to the expression profiles of type I and MIKC paralog pair genes, the fates of MIKC paralog gene pairs were subfunctionalization, and the fates of type I MADS paralog gene pairs were nonfunctionalization. 137 out of 163 MADS genes were close to 186 loci within 2 Mb genomic regions associated with seed-relative QTLs, among which 115 genes expressed during the seed development. Although MIKC(C genes kept the important and conserved functions of the flower development, most MIKC(C genes showed potentially essential roles in the seed development as well as the type I MADS.

  10. Proteomic Analysis of Rice Leaves Shows the Different Regulations to Osmotic Stress and Stress Signals

    Institute of Scientific and Technical Information of China (English)

    Lie-Bo Shu; Wei Ding; Jin-Hong Wu; Fang-Jun Feng; Li-Jun Luo; Han-Wei Mei

    2010-01-01

    Following the idea of partial root-zone drying(PRD)in crop cultivation,the morphological and physiological responses to partial root osmotic stress(PROS)and whole root osmotic stress(WROS)were investigated in rice.WROS caused stress symptoms like leaf rolling and membrane leakage.PROS stimulated stress signals,but did not cause severe leaf damage.By proteomic analysis,a total of 58 proteins showed differential expression after one or both treatments,and functional classification of these proteins suggests that stress signals regulate photosynthesis,carbohydrate and energy metabolism.Two other proteins(anthranilate synthase and submergence-induced nickel-binding protein)were upregulated only in the PROS plants,indicating their important roles in stress resistance.Additionally,more enzymes were involved in stress defense,redox homeostasis,lignin and ethylene synthesis in WROS leaves,suggesting a more comprehensive regulatory mechanism induced by osmotic stress.This study provides new insights into the complex molecular networks within plant leaves involved in the adaptation to osmotic stress and stress signals.

  11. Analysis of experimental evidence that shows adverse effects of salt and its relation to hypertension

    Directory of Open Access Journals (Sweden)

    Ignacio Bravo A.

    2012-02-01

    Full Text Available The study by Taylor et al published in June 2010 in the American Journal of Hypertension questions the effectiveness of reducing salt intake in the diet in the prevention and treatment of high blood pressure and other cardiovascular conditions. The publication of this article has lead to great controversy and medical associations and learned societies responded promptly. The response criticized the results of the meta-analysis and pointed out its methodological shortcomings. In this review we critically appraise the experimental evidence that shows the importance of diet salt intake and its role as a determinant of blood pressure. We briefly describe the paradigm that explains the role of salt intake in contributing in the regulation of blood pressure (Guyton hypothesis and model and we mention the experimental evidence that supports this. We briefly comment on the classical studies that indicate that salt intake (NaCl contributes directly to the development of high blood pressure and target tissues. Finally, we briefly mention the experimental data that is related with the controversy on the role of salt (NaCl or sodium as prohypertensive agents.

  12. Nominal Performance Biosphere Dose Conversion Factor Analysis

    Energy Technology Data Exchange (ETDEWEB)

    M. Wasiolek

    2004-09-08

    This analysis report is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the Total System Performance Assessment (TSPA) for the license application (LA) for the Yucca Mountain repository. This analysis report describes the development of biosphere dose conversion factors (BDCFs) for the groundwater exposure scenario, and the development of conversion factors for assessing compliance with the groundwater protection standard. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and provides an understanding of how this analysis report contributes to biosphere modeling. This report is one of two reports that develop biosphere BDCFs, which are input parameters for the TSPA-LA model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the ERMYN conceptual model and mathematical model. The input parameter reports, shown to the right of the ''Biosphere Model Report'' in Figure 1-1, contain detailed description of the model input parameters, their development, and the relationship between the parameters and specific features events and processes (FEPs). This report describes biosphere model calculations and their output, the BDCFs, for the groundwater exposure scenario. The objectives of this analysis are to develop BDCFs for the groundwater exposure scenario for the three climate states considered in the TSPA-LA as well as conversion factors for evaluating compliance with the groundwater protection standard. The BDCFs will be used in performance assessment for calculating all-pathway annual doses for a given concentration of radionuclides in groundwater. The conversion factors will be used for calculating gross alpha particle

  13. Statistical inference of Minimum Rank Factor Analysis

    NARCIS (Netherlands)

    Shapiro, A; Ten Berge, JMF

    2002-01-01

    For any given number of factors, Minimum Rank Factor Analysis yields optimal communalities for an observed covariance matrix in the sense that the unexplained common variance with that number of factors is minimized, subject to the constraint that both the diagonal matrix of unique variances and the

  14. Statistical inference of Minimum Rank Factor Analysis

    NARCIS (Netherlands)

    Shapiro, A; Ten Berge, JMF

    For any given number of factors, Minimum Rank Factor Analysis yields optimal communalities for an observed covariance matrix in the sense that the unexplained common variance with that number of factors is minimized, subject to the constraint that both the diagonal matrix of unique variances and the

  15. PROGNOSTIC FACTORS ANALYSIS FOR STAGEⅠ RECTAL CANCER

    Institute of Scientific and Technical Information of China (English)

    武爱文; 顾晋; 薛钟麒; 王怡; 徐光炜

    2001-01-01

    To explore the death-related factors of stageⅠrectal cancer patients. Methods: 89 cases of stage I rectal cancer patients between 1985 and 2000 were retrospectively studied for prognostic factors. Factors including age, gender, tumor size, circumferential occupation, gross type, pathological type, depth of tumor invasion, surgical procedure, adjuvant chemotherapy and postoperative complication were chosen for cox multivariate analysis (forward procedure) using Spss software (10.0 version). Results: multivariate analysis demonstrated that muscular invasion was an independent negative prognostic factor for stageⅠrectal cancer patients (P=0.003). Conclusion: Muscular invasion is a negative prognostic factor for stage I rectal cancer patients.

  16. Tumor necrosis factor-alpha allele 2 shows an association with insulin-dependent diabetes mellitus in Latvians.

    Science.gov (United States)

    Shtauvere-Brameus, A; Dabadghao, P; Rumba, I; Sanjeevi, C B

    2002-04-01

    Insulin-dependent diabetes mellitus (IDDM) is one of the most common chronic diseases. It is an autoimmune disease. Genes contributing the most for development of IDDM are located on chromosome 6p21.3 in the region called the major histocompatibility complex (MHC). HLA-DQ8/DR4 and DQ2/DR3 have shown positive association with IDDM, while DQ6 has negative association with IDDM in most Caucasian populations. The location of the tumor necrosis factor alpha (TNF-alpha) gene in the MHC suggests the role of TNF in the etiology of IDDM as an autoimmune disease. The TNF region contains several polymorphisms that are associated with different levels of TNF-alpha production and susceptibility to autoimmune and infectious diseases. Ninety-two Latvian IDDM patients corresponding to WHO diagnostic criteria and 107 unrelated age- and sex-matched healthy controls were analyzed for the frequency of TNF-alpha alleles to test the hypothesis that TNF-alpha is associated with IDDM. We found that TNF-alpha microsatellite allele 2 is associated with IDDM, 29/92 (32%), versus 14/107 (13%) in healthy controls. The test of the strongest association of the MICA A5 allele and TNF-alpha allele 2 with IDDM showed that both are independently associated with the disease.

  17. The genome-wide binding profile of the Sulfolobus solfataricus transcription factor Ss-LrpB shows binding events beyond direct transcription regulation.

    Science.gov (United States)

    Nguyen-Duc, Trong; van Oeffelen, Liesbeth; Song, Ningning; Hassanzadeh-Ghassabeh, Gholamreza; Muyldermans, Serge; Charlier, Daniel; Peeters, Eveline

    2013-11-25

    Gene regulatory processes are largely resulting from binding of transcription factors to specific genomic targets. Leucine-responsive Regulatory Protein (Lrp) is a prevalent transcription factor family in prokaryotes, however, little information is available on biological functions of these proteins in archaea. Here, we study genome-wide binding of the Lrp-like transcription factor Ss-LrpB from Sulfolobus solfataricus. Chromatin immunoprecipitation in combination with DNA microarray analysis (ChIP-chip) has revealed that Ss-LrpB interacts with 36 additional loci besides the four previously identified local targets. Only a subset of the newly identified binding targets, concentrated in a highly variable IS-dense genomic region, is also bound in vitro by pure Ss-LrpB. There is no clear relationship between the in vitro measured DNA-binding specificity of Ss-LrpB and the in vivo association suggesting a limited permissivity of the crenarchaeal chromatin for transcription factor binding. Of 37 identified binding regions, 29 are co-bound by LysM, another Lrp-like transcription factor in S. solfataricus. Comparative gene expression analysis in an Ss-lrpB mutant strain shows no significant Ss-LrpB-mediated regulation for most targeted genes, with exception of the CRISPR B cluster, which is activated by Ss-LrpB through binding to a specific motif in the leader region. The genome-wide binding profile presented here implies that Ss-LrpB is associated at additional genomic binding sites besides the local gene targets, but acts as a specific transcription regulator in the tested growth conditions. Moreover, we have provided evidence that two Lrp-like transcription factors in S. solfataricus, Ss-LrpB and LysM, interact in vivo.

  18. Plasma Levels of Macrophage Migration Inhibitory Factor and d-Dopachrome Tautomerase Show a Highly Specific Profile in Early Life

    Science.gov (United States)

    Roger, Thierry; Schlapbach, Luregn J.; Schneider, Anina; Weier, Manuela; Wellmann, Sven; Marquis, Patrick; Vermijlen, David; Sweep, Fred C. G. J.; Leng, Lin; Bucala, Richard; Calandra, Thierry; Giannoni, Eric

    2017-01-01

    Macrophage migration inhibitory factor (MIF) is a pleiotropic, constitutively expressed, pro-inflammatory cytokine and an important regulator of immune responses. d-dopachrome tautomerase (DDT), a newly described member of the MIF protein superfamily, shares sequence homology and biological activities with MIF. We recently reported that high expression levels of MIF sustain innate immune responses in newborns. Here, we elected to further characterize age-dependent MIF expression and to define whether DDT shares a similar expression profile with MIF. Therefore, we delineated the circulating concentrations of MIF and DDT throughout life using a large cohort of 307 subjects including fetuses, newborns, infants, children, and adults. Compared to levels measured in healthy adults (median: 5.7 ng/ml for MIF and 16.8 ng/ml for DDT), MIF and DDT plasma concentrations were higher in fetuses (median: 48.9 and 29.6 ng/ml), increased further at birth (median: 82.6 and 52.0 ng/ml), reached strikingly elevated levels on postnatal day 4 (median: 109.5 and 121.6 ng/ml), and decreased to adult levels during the first months of life. A strong correlation was observed between MIF and DDT concentrations in all age groups (R = 0.91, P < 0.0001). MIF and DDT levels correlated with concentrations of vascular endothelial growth factor, a protein upregulated under low oxygen tension and implicated in vascular and lung development (R = 0.70, P < 0.0001 for MIF and R = 0.65, P < 0.0001 for DDT). In very preterm infants, lower levels of MIF and DDT on postnatal day 6 were associated with an increased risk of developing bronchopulmonary dysplasia and late-onset neonatal sepsis. Thus, MIF and DDT plasma levels show a highly specific developmental profile in early life, supporting an important role for these cytokines during the neonatal period. PMID:28179905

  19. Multiple factor analysis by example using R

    CERN Document Server

    Pagès, Jérôme

    2014-01-01

    Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple Factor Analysis by Example Using R brings together the theoretical and methodological aspects of MFA. It also includes examples of applications and details of how to implement MFA using an R package (FactoMineR).The first two chapters cover the basic factorial analysis methods of principal component analysis (PCA) and multiple correspondence analysis (MCA). The

  20. EPA Analysis Shows 2014 Decrease of Toxic Chemical Releases in Maine

    Science.gov (United States)

    EPA's most recent Toxic Release Inventory (TRI) data is now available for the reporting year of 2014. In Maine, the reporting data show that overall releases of pollutants to the environment decreased since the previous reporting year (2013).

  1. EPA Analysis Shows 2014 Decrease of Toxic Chemical Releases in Massachusetts

    Science.gov (United States)

    EPA’s most recent Toxic Release Inventory (TRI) data is now available for the reporting year of 2014. In Massachusetts, the reporting data show that overall releases of pollutants to the environment decreased since the previous reporting year (2013).

  2. EPA Analysis Shows 2014 Decrease of Toxic Chemical Releases in Connecticut

    Science.gov (United States)

    EPA’s most recent Toxic Release Inventory (TRI) data is now available for the reporting year of 2014. In Connecticut, the reporting data show that overall releases of pollutants to the environment decreased since the previous reporting year (2013).

  3. Show me the money: cost-benefit analysis in the work environment.

    Science.gov (United States)

    Levenstein, Charles; Dunn, Mary Lee

    2005-01-01

    During the last several decades, Cost-Benefit Analysis (CBA) has become a widely used technique in public policy-making. This review examines CBA from perspectives of both advocates and critics; it looks at its theory and practice, its purported advantages and shortcomings in application. It also proposes several ways in which the process can be made more accountable.

  4. Disruptive Event Biosphere Dose Conversion Factor Analysis

    Energy Technology Data Exchange (ETDEWEB)

    M. Wasiolek

    2004-09-08

    This analysis report is one of the technical reports containing documentation of the Environmental Radiation Model for Yucca Mountain, Nevada (ERMYN), a biosphere model supporting the total system performance assessment (TSPA) for the license application (LA) for the Yucca Mountain repository. This analysis report describes the development of biosphere dose conversion factors (BDCFs) for the volcanic ash exposure scenario, and the development of dose factors for calculating inhalation dose during volcanic eruption. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships among the products (i.e., analysis and model reports) developed for biosphere modeling and provides an understanding of how this analysis report contributes to biosphere modeling. This report is one of two reports that develop biosphere BDCFs, which are input parameters for the TSPA model. The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes in detail the ERMYN conceptual model and mathematical model. The input parameter reports, shown to the right of the Biosphere Model Report in Figure 1-1, contain detailed descriptions of the model input parameters, their development and the relationship between the parameters and specific features, events and processes (FEPs). This report describes biosphere model calculations and their output, the BDCFs, for the volcanic ash exposure scenario. This analysis receives direct input from the outputs of the ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) and from the five analyses that develop parameter values for the biosphere model (BSC 2004 [DIRS 169671]; BSC 2004 [DIRS 169672]; BSC 2004 [DIRS 169673]; BSC 2004 [DIRS 169458]; and BSC 2004 [DIRS 169459]). The results of this report are further analyzed in the ''Biosphere Dose Conversion Factor Importance and Sensitivity Analysis''. The objective of this

  5. Factorial invariance in multilevel confirmatory factor analysis.

    Science.gov (United States)

    Ryu, Ehri

    2014-02-01

    This paper presents a procedure to test factorial invariance in multilevel confirmatory factor analysis. When the group membership is at level 2, multilevel factorial invariance can be tested by a simple extension of the standard procedure. However level-1 group membership raises problems which cannot be appropriately handled by the standard procedure, because the dependency between members of different level-1 groups is not appropriately taken into account. The procedure presented in this article provides a solution to this problem. This paper also shows Muthén's maximum likelihood (MUML) estimation for testing multilevel factorial invariance across level-1 groups as a viable alternative to maximum likelihood estimation. Testing multilevel factorial invariance across level-2 groups and testing multilevel factorial invariance across level-1 groups are illustrated using empirical examples. SAS macro and Mplus syntax are provided.

  6. Physiological Factors Analysis in Unpressurized Aircraft Cabins

    Science.gov (United States)

    Patrao, Luis; Zorro, Sara; Silva, Jorge

    2016-11-01

    Amateur and sports flight is an activity with growing numbers worldwide. However, the main cause of flight incidents and accidents is increasingly pilot error, for a number of reasons. Fatigue, sleep issues and hypoxia, among many others, are some that can be avoided, or, at least, mitigated. This article describes the analysis of psychological and physiological parameters during flight in unpressurized aircraft cabins. It relates cerebral oximetry and heart rate with altitude, as well as with flight phase. The study of those parameters might give clues on which variations represent a warning sign to the pilot, thus preventing incidents and accidents due to human factors. Results show that both cerebral oximetry and heart rate change along the flight and altitude in the alert pilot. The impaired pilot might not reveal these variations and, if this is detected, he can be warned in time.

  7. Correspondence factor analysis of steroid libraries.

    Science.gov (United States)

    Ojasoo, T; Raynaud, J P; Doré, J C

    1995-06-01

    The receptor binding of a library of 187 steroids to five steroid hormone receptors (estrogen, progestin, androgen, mineralocorticoid, and glucocorticoid) has been analyzed by correspondence factor analysis (CFA) in order to illustrate how the method could be used to derive structure-activity-relationships from much larger libraries. CFA is a cartographic multivariate technique that provides objective distribution maps of the data after reduction and filtering of redundant information and noise. The key to the analysis of very complex data tables is the formation of barycenters (steroids with one or more common structural fragments) that can be introduced into CFA analyses used as mathematical models. This is possible in CFA because the method uses X2-metrics and is based on the distributional equivalence of the rows and columns of the transformed data matrix. We have thus demonstrated, in purely objective statistical terms, the general conclusions on the specificity of various functional and other groups derived from prior analyses by expert intuition and reasoning. A finer analysis was made of a series of A-ring phenols showing the high degree of glucocorticoid receptor and progesterone receptor binding that can be generated by certain C-11-substitutions despite the presence of the phenolic A-ring characteristic of estrogen receptor-specific binding.

  8. Analysis of Gender Differences in Color Reaction in TV Show You Are the One

    Institute of Scientific and Technical Information of China (English)

    乔芳

    2015-01-01

    The differences between men and women is not only biological sex but social gender.Gender gap is produced in a biased society where men and women treated differently behave differently.This paper wishes to analyze different reactions to color of both sexes by taking examples from TV show You Are the One to further gender studies.

  9. Analysis of competition performance in dressage and show jumping of Dutch Warmblood horses

    NARCIS (Netherlands)

    Rovere, G.; Ducro, B.J.; Arendonk, van J.A.M.; Norberg, E.; Madsen, P.

    2016-01-01

    Most Warmblood horse studbooks aim to improve the performance in dressage and show jumping. The Dutch Royal Warmblood Studbook (KWPN) includes the highest score achieved in competition by a horse to evaluate its genetic ability of performance. However, the records collected during competition are

  10. EPA Analysis Shows 2014 Decrease of Toxic Chemical Releases in New Hampshire

    Science.gov (United States)

    EPA’s most recent Toxic Release Inventory (TRI) data is now available for the reporting year of 2014. In New Hampshire, the reporting data show that overall releases of pollutants to the environment decreased since the previous reporting year (2013).

  11. Economic impact and market analysis of a special event: The Great New England Air Show

    Science.gov (United States)

    Rodney B. Warnick; David C. Bojanic; Atul Sheel; Apurv Mather; Deepak. Ninan

    2010-01-01

    We conducted a post-event evaluation for the Great New England Air Show to assess its general economic impact and to refine economic estimates where possible. In addition to the standard economic impact variables, we examined travel distance, purchase decision involvement, event satisfaction, and frequency of attendance. Graphic mapping of event visitors' home ZIP...

  12. Molecular Analysis of Mixed Endometrial Carcinomas Shows Clonality in Most Cases.

    Science.gov (United States)

    Köbel, Martin; Meng, Bo; Hoang, Lien N; Almadani, Noorah; Li, Xiaodong; Soslow, Robert A; Gilks, C Blake; Lee, Cheng-Han

    2016-02-01

    Mixed endometrial carcinoma refers to a tumor that comprises 2 or more distinct histotypes. We studied 18 mixed-type endometrial carcinomas-11 mixed serous and low-grade endometrioid carcinomas (SC/EC), 5 mixed clear cell and low-grade ECs (CCC/EC), and 2 mixed CCC and SCs (CCC/SC), using targeted next-generation sequencing and immunohistochemistry to compare the molecular profiles of the different histotypes present in each case. In 16 of 18 cases there was molecular evidence that both components shared a clonal origin. Eight cases (6 EC/SC, 1 EC/CCC, and 1 SC/CCC) showed an SC molecular profile that was the same in both components. Five cases (3 CCC/EC and 2 SC/EC) showed a shared endometrioid molecular profile and identical mismatch-repair protein deficiency in both components. A single SC/EC case harbored the same POLE exonuclease domain mutation in both components. One SC/CCC and 1 EC/CCC case showed both shared and unique molecular features in the 2 histotype components, suggesting early molecular divergence from a common clonal origin. In 2 cases, there were no shared molecular features, and these appear to be biologically unrelated synchronous tumors. Overall, these results show that the different histologic components in mixed endometrial carcinomas typically share the same molecular aberrations. Mixed endometrial carcinomas most commonly occur through morphologic mimicry, whereby tumors with serous-type molecular profile show morphologic features of EC or CCC, or through underlying deficiency in DNA nucleotide repair, with resulting rapid accrual of mutations and intratumoral phenotypic heterogeneity. Less commonly, mixed endometrial carcinomas are the result of early molecular divergence from a common progenitor clone or are synchronous biologically unrelated tumors (collision tumors).

  13. Attitude Exploration Using Factor Analysis Technique

    Directory of Open Access Journals (Sweden)

    Monika Raghuvanshi

    2016-12-01

    Full Text Available Attitude is a psychological variable that contains positive or negative evaluation about people or an environment. The growing generation possesses learning skills, so if positive attitude is inculcated at the right age, it might therefore become habitual. Students in the age group 14-20 years from the city of Bikaner, India, are the target population for this study. An inventory of 30Likert-type scale statements was prepared in order to measure attitude towards the environment and matters related to conservation. The primary data is collected though a structured questionnaire, using cluster sampling technique and analyzed using the IBM SPSS 23 statistical tool. Factor analysis is used to reduce 30 variables to a smaller number of more identifiable groups of variables. Results show that students “need more regulation and voluntary participation to protect the environment”, “need conservation of water and electricity”, “are concerned for undue wastage of water”, “need visible actions to protect the environment”, “need strengthening of the public transport system”, “are a little bit ignorant about the consequences of global warming”, “want prevention of water pollution by industries”, “need changing of personal habits to protect the environment”, and “don’t have firsthand experience of global warming”. Analysis revealed that nine factors obtained could explain about 58.5% variance in the attitude of secondary school students towards the environment in the city of Bikaner, India. The remaining 39.6% variance is attributed to other elements not explained by this analysis. A global campaign for improvement in attitude about environmental issues and its utility in daily lives may boost positive youth attitudes, potentially impacting worldwide. A cross-disciplinary approach may be developed by teaching along with other related disciplines such as science, economics, and social studies etc.

  14. SR-FTIR Coupled with Principal Component Analysis Shows Evidence for the Cellular Bystander Effect.

    Science.gov (United States)

    Lipiec, E; Bambery, K R; Lekki, J; Tobin, M J; Vogel, C; Whelan, D R; Wood, B R; Kwiatek, W M

    2015-07-01

    Synchrotron radiation-Fourier transform infrared (SR-FTIR) microscopy coupled with multivariate data analysis was used as an independent modality to monitor the cellular bystander effect. Single, living prostate cancer PC-3 cells were irradiated with various numbers of protons, ranging from 50-2,000, with an energy of either 1 or 2 MeV using a proton microprobe. SR-FTIR spectra of cells, fixed after exposure to protons and nonirradiated neighboring cells (bystander cells), were recorded. Spectral differences were observed in both the directly targeted and bystander cells and included changes in the DNA backbone and nucleic bases, along with changes in the protein secondary structure. Principal component analysis (PCA) was used to investigate the variance in the entire data set. The percentage of bystander cells relative to the applied number of protons with two different energies was calculated. Of all the applied quantities, the dose of 400 protons at 2 MeV was found to be the most effective for causing significant macromolecular perturbation in bystander PC-3 cells.

  15. Complete genome sequence analysis of goatpox virus isolated from China shows high variation.

    Science.gov (United States)

    Zeng, Xiancheng; Chi, Xuelin; Li, Wei; Hao, Wenbo; Li, Ming; Huang, Xiaohong; Huang, Yifan; Rock, Daniel L; Luo, Shuhong; Wang, Shihua

    2014-09-17

    Goatpox virus (GTPV), a member of the Capripoxvirus genus of the Poxviridae family, is the causative agent of variolo caprina (goatpox). GTPV can cause significant economic losses of domestic ruminants in endemic regions and can threaten breeding stocks. In this study, we report on the compilation of the complete genomic sequence of an isolated GTPV field strain FZ (GTPV_FZ). The 150,194bp GTPV genome consists of a central coding region bounded by two identical 2301bp inverted terminal repeats and contains 151 putative genes. Comparative genomic analysis reveals the apparent genetic relationships among Capripoxviruses are close, but sufficient genomic variants in the field isolate strain FZ have been identified to distinguish it from other GTPV strains and other Capripoxvirus species. Phylogenetic analysis based on the p32 and complete GTPV genome can be used to differentiate SPPVs, GTPVs and LSDVs. These data may contribute to the epidemiological study of the Chinese capripoxvirus and help to develop more specific detection methods to distinguish GTPVs, SPPVs and LSDVs.

  16. Analysis of genetic interaction networks shows that alternatively spliced genes are highly versatile.

    Science.gov (United States)

    Talavera, David; Sheoran, Ritika; Lovell, Simon C

    2013-01-01

    Alternative splicing has the potential to increase the diversity of the transcriptome and proteome. Where more than one transcript arises from a gene they are often so different that they are quite unlikely to have the same function. However, it remains unclear if alternative splicing generally leads to a gene being involved in multiple biological processes or whether it alters the function within a single process. Knowing that genetic interactions occur between functionally related genes, we have used them as a proxy for functional versatility, and have analysed the sets of genes of two well-characterised model organisms: Caenorhabditis elegans and Drosophila melanogaster. Using network analyses we find that few genes are functionally homogenous (only involved in a few functionally-related biological processes). Moreover, there are differences between alternatively spliced genes and genes with a single transcript; specifically, genes with alternatively splicing are, on average, involved in more biological processes. Finally, we suggest that factors other than specific functional classes determine whether a gene is alternatively spliced.

  17. A micro-epidemiological analysis of febrile malaria in Coastal Kenya showing hotspots within hotspots.

    Science.gov (United States)

    Bejon, Philip; Williams, Thomas N; Nyundo, Christopher; Hay, Simon I; Benz, David; Gething, Peter W; Otiende, Mark; Peshu, Judy; Bashraheil, Mahfudh; Greenhouse, Bryan; Bousema, Teun; Bauni, Evasius; Marsh, Kevin; Smith, David L; Borrmann, Steffen

    2014-04-24

    Malaria transmission is spatially heterogeneous. This reduces the efficacy of control strategies, but focusing control strategies on clusters or 'hotspots' of transmission may be highly effective. Among 1500 homesteads in coastal Kenya we calculated (a) the fraction of febrile children with positive malaria smears per homestead, and (b) the mean age of children with malaria per homestead. These two measures were inversely correlated, indicating that children in homesteads at higher transmission acquire immunity more rapidly. This inverse correlation increased gradually with increasing spatial scale of analysis, and hotspots of febrile malaria were identified at every scale. We found hotspots within hotspots, down to the level of an individual homestead. Febrile malaria hotspots were temporally unstable, but 4 km radius hotspots could be targeted for 1 month following 1 month periods of surveillance.DOI: http://dx.doi.org/10.7554/eLife.02130.001. Copyright © 2014, Bejon et al.

  18. Differential temperature Carnot heat analysis shows that computing machines are thermodynamically irreversible

    Science.gov (United States)

    Parker, Michael C.; Walker, Stuart D.

    2008-07-01

    We perform a differential temperature Carnot analysis of the changes in energy and entropy (degrees of freedom) associated with an ideal classical computing machine. Assuming that Carnot's maximum efficiency law is as equally applicable to a computing machine as to a mechanical machine, we find that useful computation is necessarily dissipative and thermodynamically irreversible. In addition, we find that copying or cloning of information is as dissipative as the original process employed to create the information (through a computation) in the first place. We prove minimum heat dissipation kT ln 2 per output calculation bit, where T is the thermodynamic temperature of unavoidable by-product bits (i.e. not the output calculation bits) rather than a generally assumed 'surrounding environment' temperature. Overall, this places computers into the same category as conventional machines, obeying the second law of thermodynamics and always operating below 100% efficiency, such that a perpetual calculating machine cannot exist.

  19. Genome-wide microarray analysis of tomato roots showed defined responses to iron deficiency

    Directory of Open Access Journals (Sweden)

    Zamboni Anita

    2012-03-01

    Full Text Available Abstract Background Plants react to iron deficiency stress adopting different kind of adaptive responses. Tomato, a Strategy I plant, improves iron uptake through acidification of rhizosphere, reduction of Fe3+ to Fe2+ and transport of Fe2+ into the cells. Large-scale transcriptional analyses of roots under iron deficiency are only available for a very limited number of plant species with particular emphasis for Arabidopsis thaliana. Regarding tomato, an interesting model species for Strategy I plants and an economically important crop, physiological responses to Fe-deficiency have been thoroughly described and molecular analyses have provided evidence for genes involved in iron uptake mechanisms and their regulation. However, no detailed transcriptome analysis has been described so far. Results A genome-wide transcriptional analysis, performed with a chip that allows to monitor the expression of more than 25,000 tomato transcripts, identified 97 differentially expressed transcripts by comparing roots of Fe-deficient and Fe-sufficient tomato plants. These transcripts are related to the physiological responses of tomato roots to the nutrient stress resulting in an improved iron uptake, including regulatory aspects, translocation, root morphological modification and adaptation in primary metabolic pathways, such as glycolysis and TCA cycle. Other genes play a role in flavonoid biosynthesis and hormonal metabolism. Conclusions The transcriptional characterization confirmed the presence of the previously described mechanisms to adapt to iron starvation in tomato, but also allowed to identify other genes potentially playing a role in this process, thus opening new research perspectives to improve the knowledge on the tomato root response to the nutrient deficiency.

  20. PCR-DGGE analysis of the bacterial composition of a kaolin slurry showing altered rheology.

    Science.gov (United States)

    Papp, Ildikó; Balázs, Margit; Tombácz, Etelka; Babcsán, Norbert; Kesserű, Péter; Kiss, István; Szvetnik, Attila

    2012-04-01

    Kaolin is an important industrial raw material and a basis of a range of different products. Microbial spoilage is a detrimental process observed especially in kaolin slurries, leading to low quality products and economic loss. Although the alteration of kaolin slurries in ceramic industry was observed, the process and the microbial background have not been analyzed in details. This study provides the first data using a cultivation independent molecular biological approach (PCR-DGGE) regarding the bacterial composition of an altered kaolin slurry. The results show that potential exopolymer (EPS) producer bacteria (e.g. Acinetobacter, Pseudomonas) appear in the altered kaolin slurry, which may have an important role in the modification of kaolin slurries.

  1. Kernel parameter dependence in spatial factor analysis

    DEFF Research Database (Denmark)

    Nielsen, Allan Aasbjerg

    2010-01-01

    feature space via the kernel function and then performing a linear analysis in that space. In this paper we shall apply a kernel version of maximum autocorrelation factor (MAF) [7, 8] analysis to irregularly sampled stream sediment geochemistry data from South Greenland and illustrate the dependence...

  2. Multistructure Statistical Model Applied To Factor Analysis

    Science.gov (United States)

    Bentler, Peter M.

    1976-01-01

    A general statistical model for the multivariate analysis of mean and covariance structures is described. Matrix calculus is used to develop the statistical aspects of one new special case in detail. This special case separates the confounding of principal components and factor analysis. (DEP)

  3. Transcriptome Analysis Showed a Differential Signature between Invasive and Non-invasive Corticotrophinomas

    Science.gov (United States)

    de Araújo, Leonardo Jose Tadeu; Lerario, Antonio Marcondes; de Castro, Margaret; Martins, Clarissa Silva; Bronstein, Marcello Delano; Machado, Marcio Carlos; Trarbach, Ericka Barbosa; Villares Fragoso, Maria Candida Barisson

    2017-01-01

    ACTH-dependent hypercortisolism caused by a pituitary adenoma [Cushing’s disease (CD)] is the most common cause of endogenous Cushing’s syndrome. CD is often associated with several morbidities, including hypertension, diabetes, osteoporosis/bone fractures, secondary infections, and increased cardiovascular mortality. While the majority (≈80%) of the corticotrophinomas visible on pituitary magnetic resonance imaging are microadenomas (MICs, hypopituitarism and visual defects. Given the clinical and molecular heterogeneity of corticotrophinomas, the aim of this study was to investigate the pattern of genetic differential expression between MIC and MAC, including the invasiveness grade as a criterion for categorizing these tumors. In this study, were included tumor samples from patients with clinical, laboratorial, radiological, and histopathological diagnosis of hypercortisolism due to an ACTH-producing pituitary adenoma. Differential gene expression was studied using an Affymetrix microarray platform in 12 corticotrophinomas, classified as non-invasive MIC (n = 4) and MAC (n = 5), and invasive MAC (n = 3), according to modified Hardy criteria. Somatic mutations in USP8 were also investigated, but none of the patients exhibited USP8 variants. Differential expression analysis demonstrated that non-invasive MIC and MAC have a similar genetic signature, while invasive MACs exhibited a differential expression profile. Among the genes differentially expressed, we highlighted CCND2, ZNF676, DAPK1, and TIMP2, and their differential expression was validated through quantitative real-time PCR in another cohort of 15 non-invasive and 3 invasive cortocotrophinomas. We also identified potential biological pathways associated with growth and invasiveness, TGF-β and G protein signaling pathways, DNA damage response pathway, and pathways associated with focal adhesion. Our study revealed a differential pattern of genetic signature in a subgroup of MAC

  4. Analysis of Economic Factors Affecting Stock Market

    OpenAIRE

    Xie, Linyin

    2010-01-01

    This dissertation concentrates on analysis of economic factors affecting Chinese stock market through examining relationship between stock market index and economic factors. Six economic variables are examined: industrial production, money supply 1, money supply 2, exchange rate, long-term government bond yield and real estate total value. Stock market comprises fixed interest stocks and equities shares. In this dissertation, stock market is restricted to equity market. The stock price in thi...

  5. Meta analysis of risk factors for colorectal cancer

    Institute of Scientific and Technical Information of China (English)

    Kun Chen; Jiong-Liang Qiu; Yang Zhang; Yu-Wan Zhao

    2003-01-01

    AIM: To study the risk factors for colorectal cancer in China.METHODS: A meta-analysis of the risk factors of colorectal cancer was conducted for 14 case-control studies, and reviewed 14 reports within 13 years which included 5034cases and 5205 controls. Dersimonian and Laird random effective models were used to process the results.RESULTS: Meta analysis of the 14 studies demonstrated that proper physical activites and dietary fibers were protective factors (pooled OR<0.8), while fecal mucohemorrhage,chronic diarrhea and polyposis were highly associated with colorectal cancer (all pooled OR>4). The stratified results showed that different OR values of some factors were due to geographic factors or different resourses.CONCLUSION: Risks of colorectal cancer are significantly associated with the histories of intestinal diseases or relative symptoms, high lipid diet, emotional trauma and family history of cancers. The suitable physical activities and dietary fibers are protective factors.

  6. Spatial Dependence and Heterogeneity in Bayesian Factor Analysis : A Cross-National Investigation of Schwartz Values

    NARCIS (Netherlands)

    Stakhovych, Stanislav; Bijmolt, Tammo H. A.; Wedel, Michel

    2012-01-01

    In this article, we present a Bayesian spatial factor analysis model. We extend previous work on confirmatory factor analysis by including geographically distributed latent variables and accounting for heterogeneity and spatial autocorrelation. The simulation study shows excellent recovery of the

  7. Commonly studied polymorphisms in inflammatory cytokine genes show only minor effects on mortality and related risk factors in nonagenarians.

    Science.gov (United States)

    Dato, Serena; Krabbe, Karen S; Thinggaard, Mikael; Pedersen, Bente K; Christensen, Kaare; Bruunsgaard, Helle; Christiansen, Lene

    2010-03-01

    Systemic low-grade inflammation is consistently associated with functional status, cognitive functioning, multimorbidity, and survival in oldest olds. If inflammation is either a cause or a consequence of age-related pathology, genetic determinants of late-life survival can reside in cytokine genes polymorphisms, regulating inflammatory responses. The aim of this study was to test associations between commonly studied polymorphisms in interleukin (IL)6, IL10, IL15, and IL18, and tumor necrosis factor-alpha genes and late-life survival in a longitudinal cohort of nonagenarians: the Danish 1905 cohort. Additionally, associations were investigated between inflammatory markers and major predictors of mortality as cognitive and functional status. Modest sex-specific associations were found with survival, cognitive functioning, and handgrip strength. Evaluation of combined genotypes indicated that, in nonagenarian men, the balance of pro- and anti-inflammatory activity at IL18 and IL10 loci is protective against cognitive decline. In conclusion, in this large study with virtually complete follow-up, commonly studied polymorphisms in cytokine genes do not have a major impact on late-life survival or associated risk phenotypes.

  8. Field Studies Show That In Situ Greenhouse Gas Emission Factors for East African Agriculture Are Less Than IPCC Values

    Science.gov (United States)

    Pelster, D.; Butterbach-Bahl, K.; Rufino, M.; Rosenstock, T. S.; Wanyama, G.

    2015-12-01

    Greenhouse gas (GHG) emissions from African agricultural systems are thought to comprise a large portion of total emissions from the continent, however these estimates have been calculated using emission factors (EF) from other regions due to the lack of field studies in Africa, which results in large uncertainties for these estimates. Field measurements from western Kenya calculating emissions over a year in 59 different sites found that GHG emissions from typical smallholder farms ranged from 2.8 to 15.0 Mg CO2-C ha-1, -6.0 to 2.4 kg CH4-C ha-1 and -0.1 to 1.8 kg N2O-N ha-1, and were not affected by management intensity. The lack of a response in N2O emissions to N fertilization suggests that the EF currently used in national inventories overestimates N2O emissions from typical smallholder agriculture. Another study measuring N2O and CH4 emissions from manure deposited by grazing cattle found that the N2O EF ranged from 0.1 to 0.2%, while the CH4 EF ranged from 0.04 to 0.14 Kg CH4-C per 173 kg animal. These suggest that the current IPCC EF overestimate agricultural soil and manure GHG emissions for Kenya, and likely for much of East Africa.

  9. Show Time

    Institute of Scientific and Technical Information of China (English)

    2004-01-01

    <正> Story: Show Time!The whole class presents the story"Under the Sea".Everyone is so excited and happy.Both Leo and Kathy show their parentsthe characters of the play."Who’s he?"asks Kathy’s mom."He’s the prince."Kathy replies."Who’s she?"asks Leo’s dad."She’s the queen."Leo replieswith a smile.

  10. Snobbish Show

    Institute of Scientific and Technical Information of China (English)

    YIN PUMIN

    2010-01-01

    @@ The State Administration of Radio,Film and Television (SARFT),China's media watchdog,issued a new set of mles on June 9 that strictly regulate TV match-making shows,which have been sweeping the country's primetime programming. "Improper social and love values such as money worship should not be presented in these shows.Humiliation,verbal attacks and sex-implied vulgar content are not allowed" the new roles said.

  11. Analysis of related risk factors for pancreatic fistula after pancreaticoduodenectomy

    Institute of Scientific and Technical Information of China (English)

    Qi-Song Yu; He-Chao Huang; Feng Ding; Xin-Bo Wang

    2016-01-01

    Objective:To explore the related risk factors for pancreatic fistula after pancreaticoduodenectomy to provide a theoretical evidence for effectively preventing the occurrence of pancreatic fistula.Methods:A total of 100 patients who were admitted in our hospital from January, 2012 to January, 2015 and had performed pancreaticoduodenectomy were included in the study. The related risk factors for developing pancreatic fistula were collected for single factor and Logistic multi-factor analysis.Results:Among the included patients, 16 had pancreatic fistula, and the total occurrence rate was 16% (16/100). The single-factor analysis showed that the upper abdominal operation history, preoperative bilirubin, pancreatic texture, pancreatic duct diameter, intraoperative amount of bleeding, postoperative hemoglobin, and application of somatostatin after operation were the risk factors for developing pancreatic fistula (P<0.05). The multi-factor analysis showed that the upper abdominal operation history, the soft pancreatic texture, small pancreatic duct diameter, and low postoperative hemoglobin were the dependent risk factors for developing pancreatic fistula (OR=4.162, 6.104, 5.613, 4.034,P<0.05).Conclusions:The occurrence of pancreatic fistula after pancreaticoduodenectomy is closely associated with the upper abdominal operation history, the soft pancreatic texture, small pancreatic duct diameter, and low postoperative hemoglobin; therefore, effective measures should be taken to reduce the occurrence of pancreatic fistula according to the patients’own conditions.

  12. What Is Rotating in Exploratory Factor Analysis?

    Science.gov (United States)

    Osborne, Jason W.

    2015-01-01

    Exploratory factor analysis (EFA) is one of the most commonly-reported quantitative methodology in the social sciences, yet much of the detail regarding what happens during an EFA remains unclear. The goal of this brief technical note is to explore what "rotation" is, what exactly is rotating, and why we use rotation when performing…

  13. Stepwise Variable Selection in Factor Analysis.

    Science.gov (United States)

    Kano, Yutaka; Harada, Akira

    2000-01-01

    Takes several goodness-of-fit statistics as measures of variable selection and develops backward elimination and forward selection procedures in exploratory factor analysis. A newly developed variable selection program, SEFA, can print several fit measures for a current model and models obtained by removing an internal variable or adding an…

  14. Multilevel exploratory factor analysis of discrete data

    NARCIS (Netherlands)

    Barendse, M.T.; Oort, F.J.; Jak, S.; Timmerman, M.E.

    2013-01-01

    Exploratory factor analysis (EFA) can be used to determine the dimensionality of a set of items. When data come from clustered subjects, such as pupils within schools or children within families, the hierarchical structure of the data should be taken into account. Standard multilevel EFA is only sui

  15. An SPSSR -Menu for Ordinal Factor Analysis

    Directory of Open Access Journals (Sweden)

    Mario Basto

    2012-01-01

    Full Text Available Exploratory factor analysis is a widely used statistical technique in the social sciences. It attempts to identify underlying factors that explain the pattern of correlations within a set of observed variables. A statistical software package is needed to perform the calculations. However, there are some limitations with popular statistical software packages, like SPSS. The R programming language is a free software package for statistical and graphical computing. It offers many packages written by contributors from all over the world and programming resources that allow it to overcome the dialog limitations of SPSS. This paper offers an SPSS dialog written in theR programming language with the help of some packages, so that researchers with little or no knowledge in programming, or those who are accustomed to making their calculations based on statistical dialogs, have more options when applying factor analysis to their data and hence can adopt a better approach when dealing with ordinal, Likert-type data.

  16. Evolution Analysis of the Aux/IAA Gene Family in Plants Shows Dual Origins and Variable Nuclear Localization Signals

    Directory of Open Access Journals (Sweden)

    Wentao Wu

    2017-10-01

    Full Text Available The plant hormone auxin plays pivotal roles in many aspects of plant growth and development. The auxin/indole-3-acetic acid (Aux/IAA gene family encodes short-lived nuclear proteins acting on auxin perception and signaling, but the evolutionary history of this gene family remains to be elucidated. In this study, the Aux/IAA gene family in 17 plant species covering all major lineages of plants is identified and analyzed by using multiple bioinformatics methods. A total of 434 Aux/IAA genes was found among these plant species, and the gene copy number ranges from three (Physcomitrella patens to 63 (Glycine max. The phylogenetic analysis shows that the canonical Aux/IAA proteins can be generally divided into five major clades, and the origin of Aux/IAA proteins could be traced back to the common ancestor of land plants and green algae. Many truncated Aux/IAA proteins were found, and some of these truncated Aux/IAA proteins may be generated from the C-terminal truncation of auxin response factor (ARF proteins. Our results indicate that tandem and segmental duplications play dominant roles for the expansion of the Aux/IAA gene family mainly under purifying selection. The putative nuclear localization signals (NLSs in Aux/IAA proteins are conservative, and two kinds of new primordial bipartite NLSs in P. patens and Selaginella moellendorffii were discovered. Our findings not only give insights into the origin and expansion of the Aux/IAA gene family, but also provide a basis for understanding their functions during the course of evolution.

  17. ANALYSIS OF THE FACTORS AFFECTING THE AVERAGE

    Directory of Open Access Journals (Sweden)

    Carmen BOGHEAN

    2013-12-01

    Full Text Available Productivity in agriculture most relevantly and concisely expresses the economic efficiency of using the factors of production. Labour productivity is affected by a considerable number of variables (including the relationship system and interdependence between factors, which differ in each economic sector and influence it, giving rise to a series of technical, economic and organizational idiosyncrasies. The purpose of this paper is to analyse the underlying factors of the average work productivity in agriculture, forestry and fishing. The analysis will take into account the data concerning the economically active population and the gross added value in agriculture, forestry and fishing in Romania during 2008-2011. The distribution of the average work productivity per factors affecting it is conducted by means of the u-substitution method.

  18. EROBATIC SHOW

    Institute of Scientific and Technical Information of China (English)

    2016-01-01

    Visitors look at plane models of the Commercial Aircraft Corp. of China, developer of the count,s first homegrown large passenger jet C919, during the Singapore Airshow on February 16. The biennial event is the largest airshow in Asia and one of the most important aviation and defense shows worldwide. A number of Chinese companies took part in the event during which Okay Airways, the first privately owned aidine in China, signed a deal to acquire 12 Boeing 737 jets.

  19. Meta-Analysis of the Effects of Puppet Shows on Attitudes toward and Knowledge of Individuals with Disabilities

    Science.gov (United States)

    Dunst, Carl J.

    2014-01-01

    Findings from a meta-analysis of 26 studies investigating the effects of either the "Kids on the Block" or "Count Me In" puppet shows on changes in elementary students' attitudes toward and knowledge of individuals with disabilities are reported. The studies included 5,302 intervention group participants and 2,642…

  20. A kernel version of spatial factor analysis

    DEFF Research Database (Denmark)

    Nielsen, Allan Aasbjerg

    2009-01-01

    . Schölkopf et al. introduce kernel PCA. Shawe-Taylor and Cristianini is an excellent reference for kernel methods in general. Bishop and Press et al. describe kernel methods among many other subjects. Nielsen and Canty use kernel PCA to detect change in univariate airborne digital camera images. The kernel...... version of PCA handles nonlinearities by implicitly transforming data into high (even infinite) dimensional feature space via the kernel function and then performing a linear analysis in that space. In this paper we shall apply kernel versions of PCA, maximum autocorrelation factor (MAF) analysis...

  1. What Is Rotating in Exploratory Factor Analysis?

    Directory of Open Access Journals (Sweden)

    Jason W. Osborne

    2015-01-01

    Full Text Available Exploratory factor analysis (EFA is one of the most commonly-reported quantitative methodology in the social sciences, yet much of the detail regarding what happens during an EFA remains unclear. The goal of this brief technical note is to explore what - rotation- is, what exactly is rotating, and why we use rotation when performing EFAs. Some commentary about the relative utility and desirability of different rotation methods concludes the narrative.

  2. ANALYSIS OF RISK FACTORS IN 3901 PATIENTS WITH STROKE

    Institute of Scientific and Technical Information of China (English)

    Xin-Feng Liu; Guy van Melle; Julien Bogousslavsky

    2005-01-01

    Objective To estimate the frequency of various risk factors for overall stroke and to identify risk factors for cerebral infarction (CI) versus intracerebral hemorrhage (ICH) in a large hospital-based stroke registry.Methods Data from a total of 3901 patients, consisting of 3525 patients with CI and 376 patients with ICH were prospectively coded and entered into a computerized data bank.Results Hypertension and smoking were the most prominent factors affecting overall stroke followed by mild internal carotid artery stenosis (< 50%), hypercholesterolemia, transient ischemic attacks (TIAs), diabetes mellitus, and cardiac ischemia. Univariate analysis showed that factors in male significantly associated with CI versus ICH were old age, a family history of stroke, and intermittent claudication; whereas in female the factors were oral contraception and migraine. By multivariate analysis, in all patients, the factors significantly associated with CI as opposed to ICH were smoking, hypercholesterolemia, migraine, TIAs, atrial fibrillation, structural heart disease, and arterial disease. Hypertension was the only significant factor related with ICH versus CI.Conclusions The factors for ischemic and hemorrhagic stroke are not exactly the same. Cardiac and arterial disease are the most powerful factors associated with CI rather than ICH.

  3. A Beginner’s Guide to Factor Analysis: Focusing on Exploratory Factor Analysis

    Directory of Open Access Journals (Sweden)

    An Gie Yong

    2013-10-01

    Full Text Available The following paper discusses exploratory factor analysis and gives an overview of the statistical technique and how it is used in various research designs and applications. A basic outline of how the technique works and its criteria, including its main assumptions are discussed as well as when it should be used. Mathematical theories are explored to enlighten students on how exploratory factor analysis works, an example of how to run an exploratory factor analysis on SPSS is given, and finally a section on how to write up the results is provided. This will allow readers to develop a better understanding of when to employ factor analysis and how to interpret the tables and graphs in the output.

  4. Unascertained Factor Method of Dynamic Characteristic Analysis for Antenna Structures

    Institute of Scientific and Technical Information of China (English)

    ZHU Zeng-qing; LIANG Zhen-tao; CHEN Jian-jun

    2008-01-01

    The dynamic characteristic analysis model of antenna structures is built, in which the structural physical parameters and geometrical dimensions are all considered as unascertained variables, And a structure dynamic characteristic analysis method based on the unascertained factor method is given. The computational expression of structural characteristic is developed by the mathematics expression of unascertained factor and the principles of unascertained rational numbers arithmetic. An example is given, in which the possible values and confidence degrees of the unascertained structure characteristics are obtained. The calculated results show that the method is feasible and effective.

  5. Analysis of Factors Influencing Farmers’ Identification of Entrepreneurial Opportunity

    Institute of Scientific and Technical Information of China (English)

    Jing; GAO; Fang; YANG

    2013-01-01

    Based on the survey data of entrepreneurship concerning farmers in China,this article uses the multivariate adjustment regression analysis method,to analyze the factors influencing farmers’ identification of entrepreneurial opportunity and the mechanism. The results show that demographic characteristics are still an important factor influencing farmers’ identification of entrepreneurial opportunity,but the extent of its influence is weaker than entrepreneurs’ trait. The new trait theory is verified in farmers’ entrepreneurship opportunity behavior; entrepreneurship environment is becoming an important factor influencing entrepreneurial opportunity identification,whose regulation effect on entrepreneurs’ social network and previous experience is stronger than the regulation effect on entrepreneurs’ psychological trait.

  6. An integrated model of transcription factor diffusion shows the importance of intersegmental transfer and quaternary protein structure for target site finding.

    Directory of Open Access Journals (Sweden)

    Hugo G Schmidt

    Full Text Available We present a computational model of transcription factor motion that explains both the observed rapid target finding of transcription factors, and how this motion influences protein and genome structure. Using the Smoldyn software, we modelled transcription factor motion arising from a combination of unrestricted 3D diffusion in the nucleoplasm, sliding along the DNA filament, and transferring directly between filament sections by intersegmental transfer. This presents a fine-grain picture of the way in which transcription factors find their targets two orders of magnitude faster than 3D diffusion alone allows. Eukaryotic genomes contain sections of nucleosome free regions (NFRs around the promoters; our model shows that the presence and size of these NFRs can be explained as their acting as antennas on which transcription factors slide to reach their targets. Additionally, our model shows that intersegmental transfer may have shaped the quaternary structure of transcription factors: sequence specific DNA binding proteins are unusually enriched in dimers and tetramers, perhaps because these allow intersegmental transfer, which accelerates target site finding. Finally, our model shows that a 'hopping' motion can emerge from 3D diffusion on small scales. This explains the apparently long sliding lengths that have been observed for some DNA binding proteins observed in vitro. Together, these results suggest that transcription factor diffusion dynamics help drive the evolution of protein and genome structure.

  7. Factor analysis identifies subgroups of constipation

    Institute of Scientific and Technical Information of China (English)

    Philip G Dinning; Mike Jones; Linda Hunt; Sergio E Fuentealba; Jamshid Kalanter; Denis W King; David Z Lubowski; Nicholas J Talley; Ian J Cook

    2011-01-01

    AIM: To determine whether distinct symptom groupings exist in a constipated population and whether such grouping might correlate with quantifiable pathophysiological measures of colonic dysfunction. METHODS: One hundred and ninety-one patients presenting to a Gastroenterology clinic with constipation and 32 constipated patients responding to a newspaper advertisement completed a 53-item, wide-ranging selfreport questionnaire. One hundred of these patients had colonic transit measured scintigraphically. Factor analysis determined whether constipation-related symptoms grouped into distinct aspects of symptomatology. Cluster analysis was used to determine whether individual patients naturally group into distinct subtypes. RESULTS: Cluster analysis yielded a 4 cluster solution with the presence or absence of pain and laxative unresponsiveness providing the main descriptors. Amongst all clusters there was a considerable proportion of patients with demonstrable delayed colon transit, irritable bowel syndrome positive criteria and regular stool frequency. The majority of patients with these characteristics also reported regular laxative use. CONCLUSION: Factor analysis identified four constipation subgroups, based on severity and laxative unresponsiveness, in a constipated population. However, clear stratification into clinically identifiable groups remains imprecise.

  8. A kernel version of spatial factor analysis

    DEFF Research Database (Denmark)

    Nielsen, Allan Aasbjerg

    2009-01-01

    of PCA and related techniques. An interesting dilemma in reduction of dimensionality of data is the desire to obtain simplicity for better understanding, visualization and interpretation of the data on the one hand, and the desire to retain sufficient detail for adequate representation on the other hand......Based on work by Pearson in 1901, Hotelling in 1933 introduced principal component analysis (PCA). PCA is often used for general feature generation and linear orthogonalization or compression by dimensionality reduction of correlated multivariate data, see Jolliffe for a comprehensive description...... version of PCA handles nonlinearities by implicitly transforming data into high (even infinite) dimensional feature space via the kernel function and then performing a linear analysis in that space. In this paper we shall apply kernel versions of PCA, maximum autocorrelation factor (MAF) analysis...

  9. Mouse Dac, a novel nuclear factor with homology to Drosophila dachshund shows a dynamic expression in the neural crest, the eye, the neocortex, and the limb bud.

    Science.gov (United States)

    Caubit, X; Thangarajah, R; Theil, T; Wirth, J; Nothwang, H G; Rüther, U; Krauss, S

    1999-01-01

    Dac is a novel nuclear factor in mouse and humans that shares homology with Drosophila dachshund (dac). Alignment with available sequences defines a conserved box of 117 amino acids that shares weak homology with the proto-oncogene Ski and Sno. Dac expression is found in various neuroectodermal and mesenchymal tissues. At early developmental stages Dac is expressed in lateral mesoderm and in neural crest cells. In the neural plate/tube Dac expression is initially seen in the prosencephalon and gets gradually restricted to the presumptive neocortex and the distal portion of the outgrowing optic vesicle. Furthermore, Dac transcripts are detected in the mesenchyme underlying the Apical Ectodermal Ridge (AER) of the extending limb bud, the dorsal root ganglia and chain ganglia, and the mesenchyme of the growing genitalia. Dac expression in the Gli 3 mutant extra toes (Xt/Xt) shows little difference compared to the expression in wild-type limb buds. In contrast, a significant expansion of Dac expression are observed in the anterior mesenchyme of the limb buds of hemimelic extra toes (Hx/+) mice. FISH analysis reveals that human DAC maps to chromosome 13q22.3-23 and further fine-mapping defined a position of the DAC gene at 54cM or 13q21.1, a locus that associates with mental retardation and skeletal abnormalities.

  10. Exploratory factor analysis in Rehabilitation Psychology: a content analysis.

    Science.gov (United States)

    Roberson, Richard B; Elliott, Timothy R; Chang, Jessica E; Hill, Jessica N

    2014-11-01

    Our objective was to examine the use and quality of exploratory factor analysis (EFA) in articles published in Rehabilitation Psychology. Trained raters examined 66 separate exploratory factor analyses in 47 articles published between 1999 and April 2014. The raters recorded the aim of the EFAs, the distributional statistics, sample size, factor retention method(s), extraction and rotation method(s), and whether the pattern coefficients, structure coefficients, and the matrix of association were reported. The primary use of the EFAs was scale development, but the most widely used extraction and rotation method was principle component analysis, with varimax rotation. When determining how many factors to retain, multiple methods (e.g., scree plot, parallel analysis) were used most often. Many articles did not report enough information to allow for the duplication of their results. EFA relies on authors' choices (e.g., factor retention rules extraction, rotation methods), and few articles adhered to all of the best practices. The current findings are compared to other empirical investigations into the use of EFA in published research. Recommendations for improving EFA reporting practices in rehabilitation psychology research are provided.

  11. Global gene analysis of oocytes from early stages in human folliculogenesis shows high expression of novel genes in reproduction.

    Science.gov (United States)

    Markholt, S; Grøndahl, M L; Ernst, E H; Andersen, C Yding; Ernst, E; Lykke-Hartmann, K

    2012-02-01

    The pool of primordial follicles in humans is laid down during embryonic development and follicles can remain dormant for prolonged intervals, often decades, until individual follicles resume growth. The mechanisms that induce growth and maturation of primordial follicles are poorly understood but follicles once activated either continue growth or undergo atresia. We have isolated pure populations of oocytes from human primordial, intermediate and primary follicles using laser capture micro-dissection microscopy and evaluated the global gene expression profiles by whole-genome microarray analysis. The array data were confirmed by qPCR for selected genes. A total of 6301 unique genes were identified as significantly expressed representing enriched specific functional categories such as 'RNA binding', 'translation initiation' and 'structural molecule activity'. Several genes, some not previously known to be associated with early oocyte development, were identified with exceptionally high expression levels, such as the anti-proliferative transmembrane protein with an epidermal growth factor-like and two follistatin-like domains (TMEFF2), the Rho-GTPase-activating protein oligophrenin 1 (OPHN1) and the mitochondrial-encoded ATPase6 (ATP6). Thus, the present study provides not only a technique to capture and perform transcriptome analysis of the sparse material of human oocytes from the earliest follicle stages but further includes a comprehensive basis for our understanding of the regulatory factors and pathways present during early human folliculogenesis.

  12. Housing Price Forecastability: A Factor Analysis

    DEFF Research Database (Denmark)

    Bork, Lasse; Møller, Stig Vinther

    2016-01-01

    We examine U.S. housing price forecastability using principal component analysis (PCA), partial least squares (PLS), and sparse PLS (SPLS). We incorporate information from a large panel of 128 economic time series and show that macroeconomic fundamentals have strong predictive power for future...

  13. Housing price forecastability: A factor analysis

    DEFF Research Database (Denmark)

    Møller, Stig Vinther; Bork, Lasse

    2017-01-01

    We examine U.S. housing price forecastability using principal component analysis (PCA), partial least squares (PLS), and sparse PLS (SPLS). We incorporate information from a large panel of 128 economic time series and show that macroeconomic fundamentals have strong predictive power for future...

  14. Analysis of Ultra Linguistic Factors in Interpretation

    Institute of Scientific and Technical Information of China (English)

    姚嘉

    2015-01-01

    The quality of interpretation is a dynamic conception, involving a good deal of variables, such as the participants, the situations, working conditions, cultures etc.. Therefore, in interpretation, those static elements, such as traditional grammars and certain linguistic rules can not be counted as the only criteria for the quality of interpretation. That is, there are many other non-language elements—Ultra-linguistic factors that play an important role in interpretation. Ultra-linguistic factors get rid of the bounding of traditional grammar and parole, and reveal the facts in an indirect way. This paper gives a brief analysis of Ultra Lin⁃guistic elements in interpretation in order to achieve better result in interpretation practice.

  15. Factors Effecting Unemployment: A Cross Country Analysis

    Directory of Open Access Journals (Sweden)

    Aurangzeb

    2013-01-01

    Full Text Available This paper investigates macroeconomic determinants of the unemployment for India, China and Pakistan for the period 1980 to 2009. The investigation was conducted through co integration, granger causality and regression analysis. The variables selected for the study are unemployment, inflation, gross domestic product, exchange rate and the increasing rate of population. The results of regression analysis showed significant impact of all the variables for all three countries. GDP of Pakistan showed positive relation with the unemployment rate and the reason of that is the poverty level and underutilization of foreign investment. The result of granger causality showed that bidirectional causality does not exist between any of the variable for all three countries. Co integration result explored that long term relationship do exist among the variables for all the models. It is recommended that distribution of income needs to be improved for Pakistan in order to have positive impact of growth on the employment rate.

  16. Factor Rotation and Standard Errors in Exploratory Factor Analysis

    Science.gov (United States)

    Zhang, Guangjian; Preacher, Kristopher J.

    2015-01-01

    In this article, we report a surprising phenomenon: Oblique CF-varimax and oblique CF-quartimax rotation produced similar point estimates for rotated factor loadings and factor correlations but different standard error estimates in an empirical example. Influences of factor rotation on asymptotic standard errors are investigated using a numerical…

  17. Model correction factor method for system analysis

    DEFF Research Database (Denmark)

    Ditlevsen, Ove Dalager; Johannesen, Johannes M.

    2000-01-01

    The Model Correction Factor Method is an intelligent response surface method based on simplifiedmodeling. MCFM is aimed for reliability analysis in case of a limit state defined by an elaborate model. Herein it isdemonstrated that the method is applicable for elaborate limit state surfaces on which...... severallocally most central points exist without there being a simple geometric definition of the corresponding failuremodes such as is the case for collapse mechanisms in rigid plastic hinge models for frame structures. Taking as simplifiedidealized model a model of similarity with the elaborate model...... surface than existing in the idealized model....

  18. SHOW. A program for the integrated analysis of the data produced in a nuclear fusion experimental device

    Energy Technology Data Exchange (ETDEWEB)

    Bracco, G.; Tudisco, O. [ENEA, Centro Ricerche Casaccia, Rome (Italy). Dipt. Energia

    1998-03-01

    The report describes the program SHOW, an application devoted to the integrated analysis of the data produced in nuclear fusion experimental devices. The program is currently used for the analysis of the FTU data and a version is also available at JET. The code is written in FORTRAN 77, runs on IBM mainframes under MVS operating system and makes use of the GDDM graphical package. The program, that operates both in batch and interactive modes, permits to perform a graphical analysis of the data collected in the experimental databases. The report contains as appendixes the detailed description of all the program options together with a short illustration of the FTU databases. [Italiano] Il rapporto descrive il programma SHOW. Si tratta di una applicazione che permette l`analisi integrata dei dati prodotti da apparati sperimentali dedicati allo studio della fusione nucleare controllata. Il programma e` utilizzato per l`analisi dei dati di FTU (Frascati Tokamak Upgrade) e una versione e` disponibile anche al JET (Joint European Torus). Il codice e` scritto in FORTRAN 77 per mainframes IBM con sistema operativo MVS ed utilizza il pacchetto grafico GDDM. Il programma puo` funzionare sia in modo batch che in modo interattivo e permette di compiere l`elaborazione grafica dei dati raccolti nelle basi di dati sperimentali. Il rapporto contiene come appendici la descrizione dettagliata di tutte le opzioni del programma e una breve illustrazione delle basi di dati disponibili per FTU.

  19. Workplace Innovation: Exploratory and Confirmatory Factor Analysis for Construct Validation

    Directory of Open Access Journals (Sweden)

    Wipulanusat Warit

    2017-06-01

    Full Text Available Workplace innovation enables the development and improvement of products, processes and services leading simultaneously to improvement in organisational performance. This study has the purpose of examining the factor structure of workplace innovation. Survey data, extracted from the 2014 APS employee census, comprising 3,125 engineering professionals in the Commonwealth of Australia’s departments were analysed using exploratory factor analysis (EFA and confirmatory factor analysis (CFA. EFA returned a two-factor structure explaining 69.1% of the variance of the construct. CFA revealed that a two-factor structure was indicated as a validated model (GFI = 0.98, AGFI = 0.95, RMSEA = 0.08, RMR = 0.02, IFI = 0.98, NFI = 0.98, CFI = 0.98, and TLI = 0.96. Both factors showed good reliability of the scale (Individual creativity: α = 0.83, CR = 0.86, and AVE = 0.62; Team Innovation: α = 0.82, CR = 0.88, and AVE = 0.61. These results confirm that the two factors extracted for characterising workplace innovation included individual creativity and team innovation.

  20. Event-related potentials to tones show differences between children with multiple risk factors for dyslexia and control children before the onset of formal reading instruction.

    Science.gov (United States)

    Hämäläinen, Jarmo A; Lohvansuu, Kaisa; Ervast, Leena; Leppänen, Paavo H T

    2015-02-01

    Multiple risk factors can affect the development of specific reading problems or dyslexia. In addition to the most prevalent and studied risk factor, phonological processing, auditory discrimination problems have also been found in children and adults with reading difficulties. The present study examined 37 children between the ages of 5 and 6, 11 of which had multiple risk factors for developing reading problems. The children participated in a passive oddball EEG experiment with sinusoidal sounds with changes in sound frequency, duration, or intensity. The responses to the standard stimuli showed a negative voltage shift in children at risk for reading problems compared to control children at 107-215 ms in frontocentral areas corresponding to P1 offset and N250 onset. Source analyses showed that the difference originated from the left and right auditory cortices. Additionally, the children at risk for reading problems had a larger late discriminative negativity (LDN) response in amplitude for sound frequency change than the control children. The amplitudes at the P1-N250 time window showed correlations to letter knowledge and phonological identification whereas the amplitudes at the LDN time window correlated with verbal short-term memory and rapid naming. These results support the view that problems in basic auditory processing abilities precede the onset of reading instruction and can act as one of the risk factors for dyslexia.

  1. Factorized molecular wave functions: Analysis of the nuclear factor

    Energy Technology Data Exchange (ETDEWEB)

    Lefebvre, R., E-mail: roland.lefebvre@u-psud.fr [Institut des Sciences Moléculaires d’ Orsay, Bâtiment 350, UMR8214, CNRS- Université. Paris-Sud, 91405 Orsay, France and Sorbonne Universités, UPMC Univ Paris 06, UFR925, F-75005 Paris (France)

    2015-06-07

    The exact factorization of molecular wave functions leads to nuclear factors which should be nodeless functions. We reconsider the case of vibrational perturbations in a diatomic species, a situation usually treated by combining Born-Oppenheimer products. It was shown [R. Lefebvre, J. Chem. Phys. 142, 074106 (2015)] that it is possible to derive, from the solutions of coupled equations, the form of the factorized function. By increasing artificially the interstate coupling in the usual approach, the adiabatic regime can be reached, whereby the wave function can be reduced to a single product. The nuclear factor of this product is determined by the lowest of the two potentials obtained by diagonalization of the potential matrix. By comparison with the nuclear wave function of the factorized scheme, it is shown that by a simple rectification, an agreement is obtained between the modified nodeless function and that of the adiabatic scheme.

  2. Analysis of Recurrence Factor of Postoperative Papillary Thyroid Cancer

    Directory of Open Access Journals (Sweden)

    XING Lan-lan;CHEN Song;LI Ya-ming

    2014-02-01

    Full Text Available To investigate the factors that influences the recurrence of papillary thyroid cancer,69 patients with papillary thyroid cancer since January 1, 2011 to march 30, 2013 were analyzed respectively. They meet the inclusion criteria and complete clinical data, 18 males and 51 females,average age: 40.17±12.97.Thyroid ultrasonography, thyroid function test, thyroglobulin and antibody measurement were performed on all patients and thyroid function were checked three or more times on the premise of continuously levothyroxine. Single factor analysis were performed using SPSS17.0 in these respects including patients' gender, age, tumor size, type of opetation, the inhibition degree of TSH with taking levothyroxine postoperative and whether to perform 131I thyroid remnant ablation. Binary Logistic regression analysis were used for studying recurrence factors in multivariate analysis. The ROC curve were drawn, and then determine the threshold of TSH to evaluate tumor recurrence using Youden index method. Unvaried analysis showed that there was no statistically significance between papillary thyroid cancer recurrence and patients' age, surgical approach (P =0.373, P = 0.226,but were related to patient's gender, tumor size, postoperative TSH suppression degree and the removal of residual thyroid tissue postoperative(P= 0.031, P = 0.004, P = 0.000 01, P = 0.000 05. Males, large tumors, high postoperative TSH values and patients who didn't remove the residual thyroid tissue after surgery had higher recurrence rate. Logistic regression analysis showed that tumor size, postoperative TSH suppression degree and whether to remove the residual thyroid tissue were the influencing factors of tumor recurrence. The postoperative TSH supressive degree evaluation of critical point of tumor recurrence was determined by 0.223 5 mU/L using the Yueden index method. Large tumors, high postoperative TSH values,and no removal of the residual thyroid tissue had more influence

  3. Heterogeneity of Capital Stocks in Japan: Classification by Factor Analysis

    Directory of Open Access Journals (Sweden)

    Konomi Tonogi

    2014-04-01

    Full Text Available This paper examines the heterogeneity of capital stocks using financial statement data of publicly listed Japanese firms. We conduct factor analysis on investment rates among various capital goods and estimate factor loadings of each as its reactions to common factors like total factor productivity (TFP shocks. Then we estimate the uniqueness for each investment rate, which is the percentage of its variance that is not explained by the common factors. If the estimated factor loadings are similar between some of the heterogeneous capital goods, it may well imply that the adjustment cost structure of these investments is also similar. Further, if some of the estimated values of uniqueness are small, it suggests that certain theoretical models may track the dynamics of the investment rates well. Our estimation results show that Building and Structure have similar factor loadings as do Machinery & Equipment, Vehicles & Delivery Equipment, and Tools, Furniture, & Fixture. This suggests that we could remedy the Curse of Dimensionality by bundling the investments that have similar factor loadings together and that identifying the functional structures of each group of capital goods can greatly improve the performance of empirical investment equations.

  4. Analysis of the determinative factors for energy efficiency

    Directory of Open Access Journals (Sweden)

    Antonio Vanderley Herrero Sola

    2007-10-01

    Full Text Available The aim of this paper is to study energy efficiency in productive sector. The main objective is to analyze determinative factors to Energy Efficiency, identifying how external forces influence those factors as weel as energy efficiency, in order to subsidize a future scenery planning in energy management. The result of this analysis, based on scientific works, case study in universities, research in companies, studies by Brazilian Federal Government and studies by specialists, shows that energy efficiency depends on: effectiveness governmental actions for the technological development; technological development; initiative by universities for technology transfer to the companies; the relationship between individuals and small companies to create a corporative structure.

  5. Pioneer 10 and 11 orbit determination analysis shows no discrepancy with Newton-Einstein's laws of gravity

    CERN Document Server

    Modenini, Dario

    2013-01-01

    The present work describes the investigation of the navigation anomaly of Pioneer 10 and 11 probes which became known as the Pioneer Anomaly. It appeared as a linear drift in the Doppler data received by the spacecraft, which has been ascribed to an approximately constant sunward acceleration of about $8.5 \\times 10^{-13} km/s^2$. Since then, the existence of the anomaly has been confirmed independently by several groups and a large effort was devoted to find its origin. The present study consists of two main parts: thermal modeling of the spacecraft throughout its trajectory, and orbit determination analysis. Based on existing documentation and published telemetry data we built a thermal finite element model of the spacecraft, whose complexity has been constrained to a degree allowing for sensitivity analysis, leading to the computation of its formal uncertainty. The trajectory analysis and orbit determination was carried out using NASA/JPL's ODP (Orbit Determination Program) and our results show that orbita...

  6. Pioneer 10 and 11 orbit determination analysis shows no discrepancy with Newton-Einstein laws of gravity

    Science.gov (United States)

    Modenini, D.; Tortora, P.

    2014-07-01

    The present work describes our investigation of the navigation anomaly of the Pioneer 10 and 11 probes which became known as the Pioneer Anomaly. It appeared as a linear drift in the Doppler data received by the spacecraft, which has been ascribed to an approximately constant Sunward acceleration of about 8.5×10-13 km/s2. Since then, the existence of the anomaly has been confirmed independently by several groups and a large effort was devoted to find its origin. Recently, different analyses were published where the authors claimed the acceleration due to anisotropic thermal emission to be the most likely cause of the unexplained acceleration. Here we report the methodology and the results of an independent study carried out in the last years, aimed at supporting the thermal origin of the anomaly. This work consists of two main parts: thermal modeling of the spacecraft throughout its trajectory, and orbit determination analysis. Based on existing documentation and published telemetry data, we built a thermal finite element model of the spacecraft, whose complexity has been constrained to a degree allowing for sensitivity analysis, leading to the computation of its formal uncertainty. The trajectory analysis and orbit determination were carried out using NASA/JPL's Orbit Determination Program, and our results show that orbital solutions are achieved that do not require the addition of any "unknown" acceleration other than that of thermal origin.

  7. 从礼貌原则探寻访谈节目成功的因素%Explore the Factors of Successful Talk Show from the Politeness Principle

    Institute of Scientific and Technical Information of China (English)

    杨欣榕

    2014-01-01

    "A Date with Luyu"is a successful talk show. This article aims to find out the key factors of its success from the perspective of Politeness Principle.%《鲁豫有约》是一档成功的访谈节目,本文从礼貌原则角度分析这档访谈节目成功的因素。

  8. Practical Considerations for Using Exploratory Factor Analysis in Educational Research

    Science.gov (United States)

    Beavers, Amy S.; Lounsbury, John W.; Richards, Jennifer K.; Huck, Schuyler W.; Skolits, Gary J.; Esquivel, Shelley L.

    2013-01-01

    The uses and methodology of factor analysis are widely debated and discussed, especially the issues of rotational use, methods of confirmatory factor analysis, and adequate sample size. The variety of perspectives and often conflicting opinions can lead to confusion among researchers about best practices for using factor analysis. The focus of the…

  9. Barley plants over-expressing the NAC transcription factor gene HvNAC005 show stunting and delay in development combined with early senescence

    DEFF Research Database (Denmark)

    Christiansen, Michael W.; Matthewman, Colette; Podzimska-Sroka, Dagmara Agata;

    2016-01-01

    -expressing plants showed up-regulation of genes involved with secondary metabolism, hormone metabolism, stress, signalling, development, and transport. Up-regulation of senescence markers and hormone metabolism and signalling genes supports a role of HvNAC005 in the cross field of different hormone and signalling......The plant-specific NAC transcription factors have attracted particular attention because of their involvement in stress responses, senescence, and nutrient remobilization. The HvNAC005 gene of barley encodes a protein belonging to subgroup NAC-a6 of the NAC family. This study shows that HvNAC005...

  10. Analysis of a large dataset of mycorrhiza inoculation field trials on potato shows highly significant increases in yield.

    Science.gov (United States)

    Hijri, Mohamed

    2016-04-01

    An increasing human population requires more food production in nutrient-efficient systems in order to simultaneously meet global food needs while reducing the environmental footprint of agriculture. Arbuscular mycorrhizal fungi (AMF) have the potential to enhance crop yield, but their efficiency has yet to be demonstrated in large-scale crop production systems. This study reports an analysis of a dataset consisting of 231 field trials in which the same AMF inoculant (Rhizophagus irregularis DAOM 197198) was applied to potato over a 4-year period in North America and Europe under authentic field conditions. The inoculation was performed using a liquid suspension of AMF spores that was sprayed onto potato seed pieces, yielding a calculated 71 spores per seed piece. Statistical analysis showed a highly significant increase in marketable potato yield (ANOVA, P < 0.0001) for inoculated fields (42.2 tons/ha) compared with non-inoculated controls (38.3 tons/ha), irrespective of trial year. The average yield increase was 3.9 tons/ha, representing 9.5 % of total crop yield. Inoculation was profitable with a 0.67-tons/ha increase in yield, a threshold reached in almost 79 % of all trials. This finding clearly demonstrates the benefits of mycorrhizal-based inoculation on crop yield, using potato as a case study. Further improvements of these beneficial inoculants will help compensate for crop production deficits, both now and in the future.

  11. Comparative Proteomic Analysis Shows an Elevation of Mdh1 Associated with Hepatotoxicity Induced by Copper Nanoparticle in Rats

    Institute of Scientific and Technical Information of China (English)

    DONG Shu-wei; GAO Zhao-hui; SHEN Xiao-yun; XUE Hui-wen; LI Xia

    2014-01-01

    Copper nanoparticle is a new material widely used in biological medicine, animal husbandry and industrial areas, but its potential toxicity to human health and environment remains unclear. In order to study the hepatotoxic mechanisms of nanoparticles copper, two-dimensional gel electrophoresis (2-DE) and matrix-assisted laser desorption/ionization time of lfight mass spectrometry (MALDI/TOF MS) of proteomics technology were used to isolate and identify the differentially expressed proteins from liver, which associated with hepatotoxicity induced by copper nanoparticle in rats. In this study, we have screened 15 kinds of proteins related with hepatotoxicity, of which spot8212 was identiifed as Malate dehydrogenase (Mdh1). The mRNA expression trend of Mdh1 was consistent with the result of 2-DE by RT-PCR validation. Bioinformatics analysis showed that Mdh1 was stable and no signal peptides, subcellular location was in endoplasmic reticulum;it contained many functional sites such as malate dehydrogenase activity signal sites 155LTRLDHNRAKSQI167; α helixes and random coils were the two main elements. Homologous analysis demonstrated high homologous of Mdh1 in rats with mouse and human, and the phylogenetic tree of Mdh1 was constructed. The result indicated that copper nanoparticle could regulate up the Mdh1 protein expression so as to compensate the energy deifcit. Energy metabolic disturbance may be a pathway for copper nanoparticle particles to exert the hepatotoxic effects in rats.

  12. Subjects with hip osteoarthritis show distinctive patterns of trunk movements during gait-a body-fixed-sensor based analysis

    Directory of Open Access Journals (Sweden)

    Reininga Inge HF

    2012-01-01

    Full Text Available Abstract Background Compensatory trunk movements during gait, such as a Duchenne limp, are observed frequently in subjects with osteoarthritis of the hip, yet angular trunk movements are seldom included in clinical gait assessments. Hence, the objective of this study was to quantify compensatory trunk movements during gait in subjects with hip osteoarthritis, outside a gait laboratory, using a body-fixed-sensor based gait analysis. Frontal plane angular movements of the pelvis and thorax and spatiotemporal parameters of persons who showed a Duchenne limp during gait were compared to healthy subjects and persons without a Duchenne limp. Methods A Body-fixed-sensor based gait analysis approach was used. Two body-fixed sensors were positioned at the dorsal side of the pelvis and on the upper thorax. Peak-to-peak frontal plane range of motion (ROM and spatiotemporal parameters (walking speed, step length and cadence of persons with a Duchenne limp during gait were compared to healthy subjects and persons without a Duchenne limp. Participants were instructed to walk at a self-selected low, preferred and high speed along a hospital corridor. Generalized estimating equations (GEE analyses were used to assess group differences between persons with a Duchenne limp, without a Duchenne limp and healthy subjects. Results Persons with a Duchenne limp showed a significantly larger thoracic ROM during walking compared to healthy subjects and to persons without a Duchenne limp. In both groups of persons with hip osteoarthritis, pelvic ROM was lower than in healthy subjects. This difference however only reached significance in persons without a Duchenne limp. The ratio of thoracic ROM relative to pelvic ROM revealed distinct differences in trunk movement patterns. Persons with hip osteoarthritis walked at a significantly lower speed compared to healthy subjects. No differences in step length and cadence were found between patients and healthy subjects, after

  13. Expression analysis of genes associated with human osteosarcoma tumors shows correlation of RUNX2 overexpression with poor response to chemotherapy

    Directory of Open Access Journals (Sweden)

    Cervigne Nilva K

    2010-05-01

    Full Text Available Abstract Background Human osteosarcoma is the most common pediatric bone tumor. There is limited understanding of the molecular mechanisms underlying osteosarcoma oncogenesis, and a lack of good diagnostic as well as prognostic clinical markers for this disease. Recent discoveries have highlighted a potential role of a number of genes including: RECQL4, DOCK5, SPP1, RUNX2, RB1, CDKN1A, P53, IBSP, LSAMP, MYC, TNFRSF1B, BMP2, HISTH2BE, FOS, CCNB1, and CDC5L. Methods Our objective was to assess relative expression levels of these 16 genes as potential biomarkers of osteosarcoma oncogenesis and chemotherapy response in human tumors. We performed quantitative expression analysis in a panel of 22 human osteosarcoma tumors with differential response to chemotherapy, and 5 normal human osteoblasts. Results RECQL4, SPP1, RUNX2, and IBSP were significantly overexpressed, and DOCK5, CDKN1A, RB1, P53, and LSAMP showed significant loss of expression relative to normal osteoblasts. In addition to being overexpressed in osteosarcoma tumor samples relative to normal osteoblasts, RUNX2 was the only gene of the 16 to show significant overexpression in tumors that had a poor response to chemotherapy relative to good responders. Conclusion These data underscore the loss of tumor suppressive pathways and activation of specific oncogenic mechanisms associated with osteosarcoma oncogenesis, while drawing attention to the role of RUNX2 expression as a potential biomarker of chemotherapy failure in osteosarcoma.

  14. Marmosets, Raree shows and Pulcinelle: an Analysis and Edition of a Hitherto-Unpublished Carnival Play by Antonio de Zamora

    Directory of Open Access Journals (Sweden)

    Fernando Plata

    2013-05-01

    Full Text Available This paper is an analyisis, annotation and edition of the Mojiganga del mundinovo (‘The raree show, a carnival play’ by Antonio de Zamora. The play was performed in 1698 Madrid by the troupe of Carlos Vallejo, along with the sacramental one-act play El templo vivo de Dios (‘The living temple of God’. The hitherto unpublished text is based on the only two extant manuscripts, located in archives in Madrid. Despite the play’s title, my analysis argues that the novelty in this play is not so much the raree show, a contraption popularized four decades earlier in Golden Age theater, as the marmosets. The death of two marmosets and the ensuing desolation of their owner, Ms. Estupenda, both trigger the play and provide it with a plot. The marmosets, too, point to a changing mentality in late 17th-century society, regarding the possession among ladies of marmosets and other monkeys as pets.

  15. Population analysis of the Fusarium graminearum species complex from wheat in China show a shift to more aggressive isolates.

    Directory of Open Access Journals (Sweden)

    Hao Zhang

    Full Text Available A large number of Fusarium isolates was collected from blighted wheat spikes originating from 175 sampling sites, covering 15 provinces in China. Species and trichothecene chemotype determination by multilocus genotyping (MLGT indicated that F. graminearum s. str. with the 15-acetyl deoxynivalenol (15ADON chemotype and F. asiaticum with either the nivalenol (NIV or the 3-acetyl deoxynivalenol (3ADON chemotype were the dominant causal agents. Bayesian model-based clustering with allele data obtained with 12 variable number of tandem repeats (VNTR markers, detected three genetic clusters that also show distinct chemotypes. High levels of population genetic differentiation and low levels of effective number of migrants were observed between these three clusters. Additional genotypic analyses revealed that F. graminearum s. str. and F. asiaticum are sympatric. In addition, composition analysis of these clusters indicated a biased gene flow from 3ADON to NIV producers in F. asiaticum. In phenotypic analyses, F. asiaticum that produce 3ADON revealed significant advantages over F. asiaticum that produce NIV in pathogenicity, growth rate, fecundity, conidial length, trichothecene accumulation and resistance to benzimidazole. These results suggest that natural selection drives the spread of a more vigorous, more toxigenic pathogen population which also shows higher levels of fungicide resistance.

  16. Quantitative fitness analysis shows that NMD proteins and many other protein complexes suppress or enhance distinct telomere cap defects.

    Directory of Open Access Journals (Sweden)

    Stephen Gregory Addinall

    2011-04-01

    Full Text Available To better understand telomere biology in budding yeast, we have performed systematic suppressor/enhancer analyses on yeast strains containing a point mutation in the essential telomere capping gene CDC13 (cdc13-1 or containing a null mutation in the DNA damage response and telomere capping gene YKU70 (yku70Δ. We performed Quantitative Fitness Analysis (QFA on thousands of yeast strains containing mutations affecting telomere-capping proteins in combination with a library of systematic gene deletion mutations. To perform QFA, we typically inoculate 384 separate cultures onto solid agar plates and monitor growth of each culture by photography over time. The data are fitted to a logistic population growth model; and growth parameters, such as maximum growth rate and maximum doubling potential, are deduced. QFA reveals that as many as 5% of systematic gene deletions, affecting numerous functional classes, strongly interact with telomere capping defects. We show that, while Cdc13 and Yku70 perform complementary roles in telomere capping, their genetic interaction profiles differ significantly. At least 19 different classes of functionally or physically related proteins can be identified as interacting with cdc13-1, yku70Δ, or both. Each specific genetic interaction informs the roles of individual gene products in telomere biology. One striking example is with genes of the nonsense-mediated RNA decay (NMD pathway which, when disabled, suppress the conditional cdc13-1 mutation but enhance the null yku70Δ mutation. We show that the suppressing/enhancing role of the NMD pathway at uncapped telomeres is mediated through the levels of Stn1, an essential telomere capping protein, which interacts with Cdc13 and recruitment of telomerase to telomeres. We show that increased Stn1 levels affect growth of cells with telomere capping defects due to cdc13-1 and yku70Δ. QFA is a sensitive, high-throughput method that will also be useful to understand other

  17. Tensor-Dictionary Learning with Deep Kruskal-Factor Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Stevens, Andrew J.; Pu, Yunchen; Sun, Yannan; Spell, Gregory; Carin, Lawrence

    2017-04-20

    We introduce new dictionary learning methods for tensor-variate data of any order. We represent each data item as a sum of Kruskal decomposed dictionary atoms within the framework of beta-process factor analysis (BPFA). Our model is nonparametric and can infer the tensor-rank of each dictionary atom. This Kruskal-Factor Analysis (KFA) is a natural generalization of BPFA. We also extend KFA to a deep convolutional setting and develop online learning methods. We test our approach on image processing and classification tasks achieving state of the art results for 2D & 3D inpainting and Caltech 101. The experiments also show that atom-rank impacts both overcompleteness and sparsity.

  18. Does Cognitive Behavior Therapy for Psychosis (CBTp show a sustainable effect on delusions? A meta-analysis.

    Directory of Open Access Journals (Sweden)

    Stephanie eMehl

    2015-10-01

    Full Text Available Cognitive Behavior Therapy for psychosis (CBTp is an effective treatment resulting in small to medium effect sizes with regard to changes in positive symptoms and psychopathology. As a consequence, CBTp is recommended by national guidelines for all patients with schizophrenia. However, although CBTp was originally developed as a means to improve delusions, meta-analyses have generally integrated effects for positive symptoms rather than for delusions. Thus, it is still an open question whether more broadly defined CBTp is more effective with regard to change in delusions compared to treatment as usual (TAU and to other interventions, and whether this effect remains stable over a follow-up period. Moreover, it would be interesting to explore whether newer studies that focus on specific factors involved in the formation and maintenance of delusions (causal-interventionist approach are more effective than the first generation of CBTp studies. A systematic search of the trial literature identified 19 RCTs that compared CBTp with TAU and/or other interventions and reported delusions as an outcome measure. Meta-analytic integration resulted in a significant small to medium effect size for CBTp in comparison to TAU at end-of-therapy (k=13; d ̅=0.27 and after an average follow-up period of 47 weeks (k=12; d ̅=0.25. When compared with other interventions, there was no significant effect of CBTp at end-of-therapy (k=8; d ̅=0.16 and after a follow-up period (k=5; d ̅=–0.04. Comparison between newer studies taking a causal-interventionist approach (k=4 and first-generation studies showed a difference of 0.33 in mean effect sizes in favor of newer studies at end-of-therapy. The findings suggest that CBTp is superior to TAU, but is not superior to other interventions, in bringing about a change in delusions, and that this superiority is maintained over the follow-up period. Moreover, interventions that focus on causal factors of delusions seem to be a

  19. ANALYSIS OF FACTORS WHICH AFFECTING THE ECONOMIC GROWTH

    Directory of Open Access Journals (Sweden)

    Suparna Wijaya

    2017-03-01

    Full Text Available High economic growth and sustainable process are main conditions for sustainability of economic country development. They are also become measures of the success of the country's economy. Factors which tested in this study are economic and non-economic factors which impacting economic development. This study has a goal to explain the factors that influence on macroeconomic Indonesia. It used linear regression modeling approach. The analysis result showed that Tax Amnesty, Exchange Rate, Inflation, and interest rate, they jointly can bring effect which amounted to 77.6% on economic growth whereas the remaining 22.4% is the influenced by other variables which not observed in this study. Keywords: tax amnesty, exchange rates, inflation, SBI and economic growth

  20. Empirical Analysis on Factors Influencing Distribution of Vegetal Production

    Institute of Scientific and Technical Information of China (English)

    Wenjie; WU

    2015-01-01

    Since the reform and opening-up,there has been a great change in spatial pattern of China’s vegetable production. This paper studied vegetable production in provinces of China in 1978- 2013. From the sequential characteristics,China’s vegetable production area is constantly growing and takes on stage characteristic. From the spatial distribution,China’s vegetable production takes on the trend of " going down the south" and " marching the west". In order to grasp rules of changes of vegetable production and the influence factors,this paper made theoretical and empirical analysis on factors possibly influencing distribution of vegetable production. Results show that major factors influencing distribution of China’s vegetable production include irrigation condition,non-agricultural employment,market demand,knowledge spillover,comparative effectiveness,rural road and government policies.

  1. A Bayesian semiparametric factor analysis model for subtype identification.

    Science.gov (United States)

    Sun, Jiehuan; Warren, Joshua L; Zhao, Hongyu

    2017-04-25

    Disease subtype identification (clustering) is an important problem in biomedical research. Gene expression profiles are commonly utilized to infer disease subtypes, which often lead to biologically meaningful insights into disease. Despite many successes, existing clustering methods may not perform well when genes are highly correlated and many uninformative genes are included for clustering due to the high dimensionality. In this article, we introduce a novel subtype identification method in the Bayesian setting based on gene expression profiles. This method, called BCSub, adopts an innovative semiparametric Bayesian factor analysis model to reduce the dimension of the data to a few factor scores for clustering. Specifically, the factor scores are assumed to follow the Dirichlet process mixture model in order to induce clustering. Through extensive simulation studies, we show that BCSub has improved performance over commonly used clustering methods. When applied to two gene expression datasets, our model is able to identify subtypes that are clinically more relevant than those identified from the existing methods.

  2. Members of the barley NAC transcription factor gene family show differential co-regulation with senescence-associated genes during senescence of flag leaves

    DEFF Research Database (Denmark)

    Christiansen, Michael W; Gregersen, Per L.

    2014-01-01

    The senescence process of plants is important for the completion of their life cycle, particularly for crop plants, it is essential for efficient nutrient remobilization during seed filling. It is a highly regulated process, and in order to address the regulatory aspect, the role of genes...... in the NAC transcription factor family during senescence of barley flag leaves was studied. Several members of the NAC transcription factor gene family were up-regulated during senescence in a microarray experiment, together with a large range of senescence-associated genes, reflecting the coordinated...... activation of degradation processes in senescing barley leaf tissues. This picture was confirmed in a detailed quantitative reverse transcription–PCR (qRT–PCR) experiment, which also showed distinct gene expression patterns for different members of the NAC gene family, suggesting a group of ~15 out of the 47...

  3. Structure shows that a glycosaminoglycan and protein recognition site in factor H is perturbed by age-related macular degeneration-linked single nucleotide polymorphism.

    Science.gov (United States)

    Herbert, Andrew P; Deakin, Jon A; Schmidt, Christoph Q; Blaum, Bärbel S; Egan, Claire; Ferreira, Viviana P; Pangburn, Michael K; Lyon, Malcolm; Uhrín, Dusan; Barlow, Paul N

    2007-06-29

    A common single nucleotide polymorphism in the factor H gene predisposes to age-related macular degeneration. Factor H blocks the alternative pathway of complement on self-surfaces bearing specific polyanions, including the glycosaminoglycan chains of proteoglycans. Factor H also binds C-reactive protein, potentially contributing to noninflammatory apoptotic processes. The at risk sequence contains His (rather than Tyr) at position 402 (384 in the mature protein), in the seventh of the 20 complement control protein (CCP) modules (CCP7) of factor H. We expressed both His(402) and Tyr(402) variants of CCP7, CCP7,8, and CCP6-8. We determined structures of His(402) and Tyr(402) CCP7 and showed them to be nearly identical. The side chains of His/Tyr(402) have similar, solvent-exposed orientations far from interfaces with CCP6 and -8. Tyr(402) CCP7 bound significantly more tightly than His(402) CCP7 to a heparin affinity column as well as to defined-length sulfated heparin oligosaccharides employed in gel mobility shift assays. This observation is consistent with the position of the 402 side chain on the edge of one of two glycosaminoglycan-binding surface patches on CCP7 that we inferred on the basis of chemical shift perturbation studies with a sulfated heparin tetrasaccharide. According to surface plasmon resonance measurements, Tyr(402) CCP6-8 binds significantly more tightly than His(402) CCP6-8 to immobilized C-reactive protein. The data support a causal link between H402Y and age-related macular degeneration in which variation at position 402 modulates the response of factor H to age-related changes in the glycosaminoglycan composition and apoptotic activity of the macula.

  4. Testing the number of required dimensions in exploratory factor analysis

    Directory of Open Access Journals (Sweden)

    Achim, Andr\\'e

    2017-01-01

    Full Text Available While maximum likelihood exploratory factor analysis (EFA provides a statistical test that $k$ dimensions are sufficient to account for the observed correlations among a set of variables, determining the required number of factors in least-squares based EFA has essentially relied on heuristic procedures. Two methods, Revised Parallel Analysis (R-PA and Comparison Data (CD, were recently proposed that generate surrogate data based on an increasing number of principal axis factors in order to compare their sequence of eigenvalues with that from the data. The latter should be unremarkable among the former if enough dimensions are included. While CD looks for a balance between efficiency and parsimony, R-PA strictly test that $k$ dimensions are sufficient by ranking the next eigenvalue, i.e. at rank $k+1$, of the actual data among those from the surrogate data. Importing two features of CD into R-PA defines four variants that are here collectively termed Next Eigenvalue Sufficiency Tests (NESTs. Simulations implementing 144 sets of parameters, including correlated factors and presence of a doublet factor, show that all four NESTs largely outperform CD, the standard Parallel Analysis, the Mean Average Partial method and even the maximum likelihood approach, in identifying the correct number of common factors. The recommended, most successful NEST variant is also the only one that never overestimates the correct number of dimensions beyond its nominal $\\alpha$ level. This variant is made available as R and MATLAB code as well as a complement incorporated in a Microsoft Excel file.

  5. Human Factors in Financial Trading: An Analysis of Trading Incidents.

    Science.gov (United States)

    Leaver, Meghan; Reader, Tom W

    2016-09-01

    This study tests the reliability of a system (FINANS) to collect and analyze incident reports in the financial trading domain and is guided by a human factors taxonomy used to describe error in the trading domain. Research indicates the utility of applying human factors theory to understand error in finance, yet empirical research is lacking. We report on the development of the first system for capturing and analyzing human factors-related issues in operational trading incidents. In the first study, 20 incidents are analyzed by an expert user group against a referent standard to establish the reliability of FINANS. In the second study, 750 incidents are analyzed using distribution, mean, pathway, and associative analysis to describe the data. Kappa scores indicate that categories within FINANS can be reliably used to identify and extract data on human factors-related problems underlying trading incidents. Approximately 1% of trades (n = 750) lead to an incident. Slip/lapse (61%), situation awareness (51%), and teamwork (40%) were found to be the most common problems underlying incidents. For the most serious incidents, problems in situation awareness and teamwork were most common. We show that (a) experts in the trading domain can reliably and accurately code human factors in incidents, (b) 1% of trades incur error, and (c) poor teamwork skills and situation awareness underpin the most critical incidents. This research provides data crucial for ameliorating risk within financial trading organizations, with implications for regulation and policy. © 2016, Human Factors and Ergonomics Society.

  6. Housing price forecastability: A factor analysis

    DEFF Research Database (Denmark)

    Bork, Lasse; Møller, Stig Vinther

    of the model stays high at longer horizons. The estimated factors are strongly statistically signi…cant according to a bootstrap resampling method which takes into account that the factors are estimated regressors. The simple three-factor model also contains substantial out-of-sample predictive power...

  7. A Second Generation Nonlinear Factor Analysis.

    Science.gov (United States)

    Etezadi-Amoli, Jamshid; McDonald, Roderick P.

    1983-01-01

    Nonlinear common factor models with polynomial regression functions, including interaction terms, are fitted by simultaneously estimating the factor loadings and common factor scores, using maximum likelihood and least squares methods. A Monte Carlo study gives support to a conjecture about the form of the distribution of the likelihood ratio…

  8. Disruptive Event Biosphere Doser Conversion Factor Analysis

    Energy Technology Data Exchange (ETDEWEB)

    M. Wasiolek

    2000-12-28

    The purpose of this report was to document the process leading to, and the results of, development of radionuclide-, exposure scenario-, and ash thickness-specific Biosphere Dose Conversion Factors (BDCFs) for the postulated postclosure extrusive igneous event (volcanic eruption) at Yucca Mountain. BDCF calculations were done for seventeen radionuclides. The selection of radionuclides included those that may be significant dose contributors during the compliance period of up to 10,000 years, as well as radionuclides of importance for up to 1 million years postclosure. The approach documented in this report takes into account human exposure during three different phases at the time of, and after, volcanic eruption. Calculations of disruptive event BDCFs used the GENII-S computer code in a series of probabilistic realizations to propagate the uncertainties of input parameters into the output. The pathway analysis included consideration of different exposure pathway's contribution to the BDCFs. BDCFs for volcanic eruption, when combined with the concentration of radioactivity deposited by eruption on the soil surface, allow calculation of potential radiation doses to the receptor of interest. Calculation of radioactivity deposition is outside the scope of this report and so is the transport of contaminated ash from the volcano to the location of the receptor. The integration of the biosphere modeling results (BDCFs) with the outcomes of the other component models is accomplished in the Total System Performance Assessment (TSPA), in which doses are calculated to the receptor of interest from radionuclides postulated to be released to the environment from the potential repository at Yucca Mountain.

  9. Nominal Performance Biosphere Dose Conversion Factor Analysis

    Energy Technology Data Exchange (ETDEWEB)

    M. Wasiolek

    2000-12-21

    The purpose of this report was to document the process leading to development of the Biosphere Dose Conversion Factors (BDCFs) for the postclosure nominal performance of the potential repository at Yucca Mountain. BDCF calculations concerned twenty-four radionuclides. This selection included sixteen radionuclides that may be significant nominal performance dose contributors during the compliance period of up to 10,000 years, five additional radionuclides of importance for up to 1 million years postclosure, and three relatively short-lived radionuclides important for the human intrusion scenario. Consideration of radionuclide buildup in soil caused by previous irrigation with contaminated groundwater was taken into account in the BDCF development. The effect of climate evolution, from the current arid conditions to a wetter and cooler climate, on the BDCF values was evaluated. The analysis included consideration of different exposure pathway's contribution to the BDCFs. Calculations of nominal performance BDCFs used the GENII-S computer code in a series of probabilistic realizations to propagate the uncertainties of input parameters into the output. BDCFs for the nominal performance, when combined with the concentrations of radionuclides in groundwater allow calculation of potential radiation doses to the receptor of interest. Calculated estimates of radionuclide concentration in groundwater result from the saturated zone modeling. The integration of the biosphere modeling results (BDCFs) with the outcomes of the other component models is accomplished in the Total System Performance Assessment (TSPA) to calculate doses to the receptor of interest from radionuclides postulated to be released to the environment from the potential repository at Yucca Mountain.

  10. EXPLORATORY FACTOR ANALYSIS (EFA IN CONSUMER BEHAVIOR AND MARKETING RESEARCH

    Directory of Open Access Journals (Sweden)

    Marcos Pascual Soler

    2012-06-01

    Full Text Available Exploratory Factor Analysis (EFA is one of the most widely used statistical procedures in social research. The main objective of this work is to describe the most common practices used by researchers in the consumer behavior and marketing area. Through a literature review methodology the practices of AFE in five consumer behavior and marketing journals(2000-2010 were analyzed. Then, the choices made by the researchers concerning factor model, retention criteria, rotation, factors interpretation and other relevant issues to factor analysis were analized. The results suggest that researchers routinely conduct analyses using such questionable methods. Suggestions for improving the use of factor analysis and the reporting of results are presented and a checklist (Exploratory Factor Analysis Checklist, EFAC is provided to help editors, reviewers, and authors improve reporting exploratory factor analysis.

  11. An Item Factor Analysis of the Mooney Problem Check List

    Science.gov (United States)

    Stewart, David W.; Deiker, Thomas

    1976-01-01

    Explores the factor structure of the Mooney Problem Check List (MPCL) at the junior and senior high school level by undertaking a large obverse factor analysis of item responses in three adolescent criterion groups. (Author/DEP)

  12. A Bayes factor meta-analysis of Bem's ESP claim.

    Science.gov (United States)

    Rouder, Jeffrey N; Morey, Richard D

    2011-08-01

    In recent years, statisticians and psychologists have provided the critique that p-values do not capture the evidence afforded by data and are, consequently, ill suited for analysis in scientific endeavors. The issue is particular salient in the assessment of the recent evidence provided for ESP by Bem (2011) in the mainstream Journal of Personality and Social Psychology. Wagenmakers, Wetzels, Borsboom, and van der Maas (Journal of Personality and Social Psychology, 100, 426-432, 2011) have provided an alternative Bayes factor assessment of Bem's data, but their assessment was limited to examining each experiment in isolation. We show here that the variant of the Bayes factor employed by Wagenmakers et al. is inappropriate for making assessments across multiple experiments, and cannot be used to gain an accurate assessment of the total evidence in Bem's data. We develop a meta-analytic Bayes factor that describes how researchers should update their prior beliefs about the odds of hypotheses in light of data across several experiments. We find that the evidence that people can feel the future with neutral and erotic stimuli to be slight, with Bayes factors of 3.23 and 1.57, respectively. There is some evidence, however, for the hypothesis that people can feel the future with emotionally valenced nonerotic stimuli, with a Bayes factor of about 40. Although this value is certainly noteworthy, we believe it is orders of magnitude lower than what is required to overcome appropriate skepticism of ESP.

  13. Reliability estimation in a multilevel confirmatory factor analysis framework.

    Science.gov (United States)

    Geldhof, G John; Preacher, Kristopher J; Zyphur, Michael J

    2014-03-01

    Scales with varying degrees of measurement reliability are often used in the context of multistage sampling, where variance exists at multiple levels of analysis (e.g., individual and group). Because methodological guidance on assessing and reporting reliability at multiple levels of analysis is currently lacking, we discuss the importance of examining level-specific reliability. We present a simulation study and an applied example showing different methods for estimating multilevel reliability using multilevel confirmatory factor analysis and provide supporting Mplus program code. We conclude that (a) single-level estimates will not reflect a scale's actual reliability unless reliability is identical at each level of analysis, (b) 2-level alpha and composite reliability (omega) perform relatively well in most settings, (c) estimates of maximal reliability (H) were more biased when estimated using multilevel data than either alpha or omega, and (d) small cluster size can lead to overestimates of reliability at the between level of analysis. We also show that Monte Carlo confidence intervals and Bayesian credible intervals closely reflect the sampling distribution of reliability estimates under most conditions. We discuss the estimation of credible intervals using Mplus and provide R code for computing Monte Carlo confidence intervals.

  14. Full Information Item Factor Analysis of the FCI

    Science.gov (United States)

    Hagedorn, Eric

    2010-02-01

    Traditional factor analytical methods, principal factors or principal components analysis, are inappropriate techniques for analyzing dichotomously scored responses to standardized tests or concept inventories because they lead to artifactual factors often referred to as ``difficulty factors.'' Full information item factor analysis (Bock, Gibbons and Muraki, 1988) based on Thurstone's multiple factor model and calculated using marginal maximum likelihood estimation, is an appropriate technique for such analyses. Force Concept Inventory (Hestenes, Wells and Swackhamer, 1992) data from 1582 university students completing an introductory physics course, was analyzed using the full information item factor analysis software TESTFACT v. 4. Analyzing the statistical significance of successive factors added to the model, using chi-squared statistics, led to a six factor model interpretable in terms of the conceptual dimensions of the FCI. )

  15. Recovery of weak factor loadings when adding the mean structure in confirmatory factor analysis: A simulation study

    Directory of Open Access Journals (Sweden)

    Carmen eXiménez

    2016-01-01

    Full Text Available This article extends previous research on the recovery of weak factor loadings in confirmatory factor analysis by exploring the effects of adding the mean structure. This issue has not been examined in previous research. This study is based on the framework of Yung and Bentler (1999 and aims to examine the conditions that affect the recovery of weak factor loadings when the model includes the mean structure, compared to analyzing the covariance structure alone. A simulation study was conducted in which several constraints were defined for one-, two-, and three-factor models. Results show that adding the mean structure improves the recovery of weak factor loadings and reduces the asymptotic variances for the factor loadings, particularly for the models with a smaller number of factors and a small sample size. Therefore, under certain circumstances, modeling the means should be seriously considered for covariance models containing weak factor loadings.

  16. Spatial Dependence and Heterogeneity in Bayesian Factor Analysis: A Cross-National Investigation of Schwartz Values

    Science.gov (United States)

    Stakhovych, Stanislav; Bijmolt, Tammo H. A.; Wedel, Michel

    2012-01-01

    In this article, we present a Bayesian spatial factor analysis model. We extend previous work on confirmatory factor analysis by including geographically distributed latent variables and accounting for heterogeneity and spatial autocorrelation. The simulation study shows excellent recovery of the model parameters and demonstrates the consequences…

  17. Spatial Dependence and Heterogeneity in Bayesian Factor Analysis: A Cross-National Investigation of Schwartz Values

    Science.gov (United States)

    Stakhovych, Stanislav; Bijmolt, Tammo H. A.; Wedel, Michel

    2012-01-01

    In this article, we present a Bayesian spatial factor analysis model. We extend previous work on confirmatory factor analysis by including geographically distributed latent variables and accounting for heterogeneity and spatial autocorrelation. The simulation study shows excellent recovery of the model parameters and demonstrates the consequences…

  18. Spatial Dependence and Heterogeneity in Bayesian Factor Analysis : A Cross-National Investigation of Schwartz Values

    NARCIS (Netherlands)

    Stakhovych, Stanislav; Bijmolt, Tammo H. A.; Wedel, Michel

    2012-01-01

    In this article, we present a Bayesian spatial factor analysis model. We extend previous work on confirmatory factor analysis by including geographically distributed latent variables and accounting for heterogeneity and spatial autocorrelation. The simulation study shows excellent recovery of the mo

  19. Analysis of risk factors for postoperative pancreatic fistula following pancreaticoduodenectomy.

    Science.gov (United States)

    Liu, Qi-Yu; Zhang, Wen-Zhi; Xia, Hong-Tian; Leng, Jian-Jun; Wan, Tao; Liang, Bin; Yang, Tao; Dong, Jia-Hong

    2014-12-14

    To explore the morbidity and risk factors of postoperative pancreatic fistula (POPF) following pancreaticoduodenectomy. The data from 196 consecutive patients who underwent pancreaticoduodenectomy, performed by different surgeons, in the General Hospital of the People's Liberation Army between January 1(st), 2013 and December 31(st), 2013 were retrospectively collected for analysis. The diagnoses of POPF and clinically relevant (CR)-POPF following pancreaticoduodenectomy were judged strictly by the International Study Group on Pancreatic Fistula Definition. Univariate analysis was performed to analyze the following factors: patient age, sex, body mass index (BMI), hypertension, diabetes mellitus, serum CA19-9 level, history of jaundice, serum albumin level, blood loss volume, pancreatic duct diameter, pylorus preserving pancreaticoduodenectomy, pancreatic drainage and pancreaticojejunostomy. Multivariate logistic regression analysis was used to determine the main independent risk factors for POPF. POPF occurred in 126 (64.3%) of the patients, and the incidence of CR-POPF was 32.7% (64/196). Patient characteristics of age, sex, BMI, hypertension, diabetes mellitus, serum CA19-9 level, history of jaundice, serum albumin level, blood loss volume, pylorus preserving pancreaticoduodenectomy and pancreaticojejunostomy showed no statistical difference related to the morbidity of POPF or CR-POPF. Pancreatic duct diameter was found to be significantly correlated with POPF rates by univariate analysis and multivariate regression analysis, with a pancreatic duct diameter ≤ 3 mm being an independent risk factor for POPF (OR = 0.291; P = 0.000) and CR-POPF (OR = 0.399; P = 0.004). The CR-POPF rate was higher in patients without external pancreatic stenting, which was found to be an independent risk factor for CR-POPF (OR = 0.394; P = 0.012). Among the entire patient series, there were three postoperative deaths, giving a total mortality rate of 1.5% (3/196), and the mortality

  20. Exploratory matrix factorization for PET image analysis.

    Science.gov (United States)

    Kodewitz, A; Keck, I R; Tomé, A M; Lang, E W

    2010-01-01

    Features are extracted from PET images employing exploratory matrix factorization techniques such as nonnegative matrix factorization (NMF). Appropriate features are fed into classifiers such as a support vector machine or a random forest tree classifier. An automatic feature extraction and classification is achieved with high classification rate which is robust and reliable and can help in an early diagnosis of Alzheimer's disease.

  1. A proteomic study showing differential regulation of stress, redox regulation and peroxidase proteins by iron supply and the transcription factor FER.

    Science.gov (United States)

    Brumbarova, Tzvetina; Matros, Andrea; Mock, Hans-Peter; Bauer, Petra

    2008-04-01

    Plants need to mobilize iron in the soil, and the basic helix-loop-helix transcription factor FER is a central regulator of iron acquisition in tomato roots. FER activity is controlled by iron supply. To analyse to what extent FER influences Fe-regulated protein expression, we investigated the root proteome of wild-type tomato, the fer mutant and a transgenic FER overexpression line under low-iron conditions versus sufficient and generous iron supply. The root proteomes were analysed by two-dimensional gel electrophoresis with three technical and three biological replicates. Statistical analysis identified 39 protein spots that were differentially regulated in selected pairwise comparisons of experimental conditions. Of these, 24 were correlated with expression clusters revealed by principal component analysis. The 39 protein spots were analysed by MALDI-TOF and nanoLC-MS/MS to deduce their possible functions. We investigated the functional representation in the identified expression clusters, and found that loss of FER function in iron-cultured plants mimicked an iron-deficiency status. The largest identified protein expression cluster was upregulated by iron deficiency and in the fer mutant. Two iron-regulated proteins required FER activity for induction by iron deficiency. Few proteins were suppressed by iron deficiency. The differentially expressed proteins belonged predominantly to the functional categories 'stress', 'redox regulation' and 'miscellaneous peroxidases'. Hence, we were able to identify distinct expression clusters of proteins with distinct functions.

  2. Analysis of Factors Affecting the Quality of an E-commerce Website Using Factor Analysis

    Directory of Open Access Journals (Sweden)

    Saurabh Mishra

    2014-12-01

    Full Text Available The purpose of this study is to identify factors which affect the quality and effectiveness of an e commerce website which also majorly affect customer satisfaction and ultimately customer retention and loyalty. This research paper examines a set of 23 variables and integrates them into 4 factors which affect the quality of a website. An online questionnaire survey was conducted to generate statistics regarding the preferences of the e-commerce website users.The 23 variables taken from customer survey are generalized into 4 major factors using exploratory factor analysis which are content, navigation, services and interface design. The research majorly consists of the responses of students between the age group of 18-25 years and considers different B2C commercial websites. Identified variables are important with respect to the current competition in the market as service of an e-commerce website also play a major role in ensuring customer satisfaction. Further research in this domain can be done for websites’ version for mobile devices.

  3. Confirmatory Factor Analysis of the ISB - Burnout Syndrome Inventory

    Directory of Open Access Journals (Sweden)

    Ana Maria T. Benevides-Pereira

    2017-05-01

    Full Text Available AimBurnout is a dysfunctional reaction to chronic occupational stress. The present study analysis the psychometric qualities of the Burnout Syndrome Inventory (ISB through Confirmatory Factor Analysis (CFA.MethodEmpirical study in a multi-centre and multi-occupational sample (n = 701 using the ISB. The Part I assesses antecedent factors: Positive Organizational Conditions (PC and Negative Organizational Conditions (NC. The Part II assesses the syndrome: Emotional Exhaustion (EE, Dehumanization (DE, Emotional Distancing (ED and Personal Accomplishment (PA.ResultsThe highest means occurred in the positive scales CP (M = 23.29, SD = 5.89 and PA (M = 14.84, SD = 4.71. Negative conditions showed the greatest variability (SD = 6.03. Reliability indexes were reasonable, with the lowest rate at .77 for DE and the highest rate .91 for PA. The CFA revealed RMSEA = .057 and CFI = .90 with all scales regressions showing significant values (β = .73 until β = .92.ConclusionThe ISB showed a plausible instrument to evaluate burnout. The two sectors maintained the initial model and confirmed the theoretical presupposition. This instrument makes possible a more comprehensive idea of the labour context, and one or another part may be used separately according to the needs and the aims of the assessor.

  4. Exploring Technostress: Results of a Large Sample Factor Analysis

    OpenAIRE

    Steponas Jonušauskas; Agota Giedre Raisiene

    2016-01-01

    With reference to the results of a large sample factor analysis, the article aims to propose the frame examining technostress in a population. The survey and principal component analysis of the sample consisting of 1013 individuals who use ICT in their everyday work was implemented in the research. 13 factors combine 68 questions and explain 59.13 per cent of the answers dispersion. Based on the factor analysis, questionnaire was reframed and prepared to reasonably analyze the respondents’ an...

  5. Identification of noise in linear data sets by factor analysis

    Energy Technology Data Exchange (ETDEWEB)

    Roscoe, B.A.; Hopke, Ph.K. (Illinois Univ., Urbana (USA))

    1982-01-01

    A technique which has the ability to identify bad data points, after the data has been generated, is classical factor analysis. The ability of classical factor analysis to identify two different types of data errors make it ideally suited for scanning large data sets. Since the results yielded by factor analysis indicate correlations between parameters, one must know something about the nature of the data set and the analytical techniques used to obtain it to confidentially isolate errors.

  6. Effect Factors of Liquid Scintillation Analysis

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    <正>Over the past decades, the liquid scintillation analysis (LSA) technique remains one of the most popular experimental tools used for the quantitative analysis of radionuclide, especially low-energy β

  7. Gene network analysis shows immune-signaling and ERK1/2 as novel genetic markers for multiple addiction phenotypes: alcohol, smoking and opioid addiction.

    Science.gov (United States)

    Reyes-Gibby, Cielito C; Yuan, Christine; Wang, Jian; Yeung, Sai-Ching J; Shete, Sanjay

    2015-06-05

    Addictions to alcohol and tobacco, known risk factors for cancer, are complex heritable disorders. Addictive behaviors have a bidirectional relationship with pain. We hypothesize that the associations between alcohol, smoking, and opioid addiction observed in cancer patients have a genetic basis. Therefore, using bioinformatics tools, we explored the underlying genetic basis and identified new candidate genes and common biological pathways for smoking, alcohol, and opioid addiction. Literature search showed 56 genes associated with alcohol, smoking and opioid addiction. Using Core Analysis function in Ingenuity Pathway Analysis software, we found that ERK1/2 was strongly interconnected across all three addiction networks. Genes involved in immune signaling pathways were shown across all three networks. Connect function from IPA My Pathway toolbox showed that DRD2 is the gene common to both the list of genetic variations associated with all three addiction phenotypes and the components of the brain neuronal signaling network involved in substance addiction. The top canonical pathways associated with the 56 genes were: 1) calcium signaling, 2) GPCR signaling, 3) cAMP-mediated signaling, 4) GABA receptor signaling, and 5) G-alpha i signaling. Cancer patients are often prescribed opioids for cancer pain thus increasing their risk for opioid abuse and addiction. Our findings provide candidate genes and biological pathways underlying addiction phenotypes, which may be future targets for treatment of addiction. Further study of the variations of the candidate genes could allow physicians to make more informed decisions when treating cancer pain with opioid analgesics.

  8. [Morbidity, mortality and analysis of prognostic factors for colorectal cancer].

    Science.gov (United States)

    Clauer, U; Schäfer, J; Roder, J

    2015-06-01

    This study analyzed morbidity, mortality and prognostic factors for patient survival in a single center collective of patients with colorectal cancer and a high follow-up rate. A total of 698 consecutive patients were included in this study. Data were collected prospectively. Descriptive and survival analyses as well as Cox regression analyses were performed to identify factors for morbidity, mortality and prognostic factors for survival. At presentation 78.8 % of the colon cancer patients and 83.5 % of rectal cancer patients showed symptomatic disease and 6.5 % of patients underwent an emergency procedure. Mortality was 3.6 %, morbidity was 42.7 % and 4.3 % of patients developed an anastomotic leakage with the need of reoperation. In spite of the regular application of a fast-track program, 10 % of patients had a prolonged duration of bowel paralysis. In patients with colon cancer there were no differences between overall survival (OAS) and disease-free survival, whereas there was a significant difference in patients with rectal cancer. The mean survival of all patients was 65.39 ± 1.722 months. The ASA score, cardiovascular disease, number of metastatic lymph nodes, lymph node ratio, residual tumor and general or surgery-associated complications were strongly independent influencing factors on OAS. A Cox analysis revealed age at diagnosis and microscopic residual tumor (TNM R1) as highly significant influencing factors on OAS. Other significant factors of influence on OAS were development of general or surgery-associated complications and the presence of cardiovascular diseases. Cardiovascular disease leads to a higher morbidity rate whereas age, International Union Against Cancer (UICC) stage, R-status, lymphatic spread and occurrence of complications are important prognostic factors for survival.

  9. Flavor Analysis of Nucleon, Δ , and Hyperon Electromagnetic Form Factors

    Science.gov (United States)

    Rohrmoser, Martin; Choi, Ki-Seok; Plessas, Willibald

    2017-03-01

    By the analysis of the world data base of elastic electron scattering on the proton and the neutron (for the latter, in fact, on ^2H and ^3He) important experimental insights have recently been gained into the flavor compositions of nucleon electromagnetic form factors. We report on testing the Graz Goldstone-boson-exchange relativistic constituent-quark model in comparison to the flavor contents in low-energy nucleons, as revealed from electron-scattering phenomenology. It is found that a satisfactory agreement is achieved between theory and experiment for momentum transfers up to Q^2˜ 4 GeV^2, relying on three-quark configurations only. Analogous studies have been extended to the Δ and the hyperon electromagnetic form factors. For them we here show only some sample results in comparison to data from lattice quantum chromodynamics.

  10. Confirmatory Factor Analysis of the Social Interest Index

    Directory of Open Access Journals (Sweden)

    Gary K. Leak

    2011-10-01

    Full Text Available Social interest was Alfred Adler’s most important personality trait, and it reflects one’s genuine concern for the welfare of all individuals. Several measures of social interest are available, and the Social Interest Index (SII is one of the most popular in current use. This study is the first to report the results of a confirmatory factor analysis of the SII. Using college students, three models were tested in an effort to find support for the factorial validity of this scale. All analyses showed a poor fit between the theoretical model and scale items. The results paint a fairly negative picture of the factor structure of this important scale.

  11. Transcriptional profiling by cDNA-AFLP analysis showed differential transcript abundance in response to water stress in Populus hopeiensis

    OpenAIRE

    Song, Yuepeng; Wang, Zeliang; Bo, Wenhao; Ren, Yuanyuan; Zhang, Zhiyi; Zhang, Deqiang

    2012-01-01

    Background Drought is one of the main environmental factors limiting tree growth and productivity of plantation forests worldwide. Populus hopeiensis Hu et Chow is one of the most important commercial plantation tree species in China. However, the genes controlling drought tolerance in this species have not been identified or characterized. Here, we conducted differential expression analyses and identified a number of genes that were up- or downregulated in P. hopeiensis during water stress. ...

  12. IDENTIFICATION OF CRITICAL SSCM ACTIVITIES THROUGH CONFIRMATORY FACTOR ANALYSIS

    Directory of Open Access Journals (Sweden)

    V. Narasimham

    2013-06-01

    Full Text Available As a developing country, economic and environmental performance has to be balanced in India. Green supply chain management (GSCM is emerging as an important proactive approach for Indian enterprises for improving environmental performance of processes and products in accordance with the requirements of environmental regulations. This study examines the consistency approaches by confirmatory factor analysis that determines the construct validity, convergent validity,construct reliability and internal consistency of the items of Sustainable supply chain management (SSCM requirements. This study examines the consistency approaches by Confirmatory factor analysis that determines the adoption and implementation of Sustainable supply chain management activities in small & medium scale industries. The requirements include Management commitment, customer coordination, sustainable design & production, green procurement and eco logistics for sustainable supply chains. This study suggested that the five factor model with eighteen items of the sustainable supply chain design had a good fit. Further, the study showed a valid and reliable measurement to identify critical items among the requirements of sustainable supply chains.

  13. Comprehensive analysis of plant rapid alkalization factor (RALF) genes.

    Science.gov (United States)

    Sharma, Arti; Hussain, Adil; Mun, Bong-Gyu; Imran, Qari Muhammad; Falak, Noreen; Lee, Sang-Uk; Kim, Jae Young; Hong, Jeum Kyu; Loake, Gary John; Ali, Asad; Yun, Byung-Wook

    2016-09-01

    Receptor mediated signal carriers play a critical role in the regulation of plant defense and development. Rapid alkalization factor (RALF) proteins potentially comprise important signaling components which may have a key role in plant biology. The RALF gene family contains large number of genes in several plant species, however, only a few RALF genes have been characterized to date. In this study, an extensive database search identified 39, 43, 34 and 18 RALF genes in Arabidopsis, rice, maize and soybean, respectively. These RALF genes were found to be highly conserved across the 4 plant species. A comprehensive analysis including the chromosomal location, gene structure, subcellular location, conserved motifs, protein structure, protein-ligand interaction and promoter analysis was performed. RALF genes from four plant species were divided into 7 groups based on phylogenetic analysis. In silico expression analysis of these genes, using microarray and EST data, revealed that these genes exhibit a variety of expression patterns. Furthermore, RALF genes showed distinct expression patterns of transcript accumulation in vivo following nitrosative and oxidative stresses in Arabidopsis. Predicted interaction between RALF and heme ligand also showed that RALF proteins may contribute towards transporting or scavenging oxygen moieties. This suggests a possible role for RALF genes during changes in cellular redox status. Collectively, our data provides a valuable resource to prime future research in the role of RALF genes in plant growth and development.

  14. The Arabidopsis homologs of CCR4-associated factor 1 show mRNA deadenylation activity and play a role in plant defence responses

    Institute of Scientific and Technical Information of China (English)

    Wenxing Liang; Changbao Li; Fang Liu; Hongling Jiang; Shuyu Li; Jiaqiang Sun; Xiaoyan Wu; Chuanyou Li

    2009-01-01

    Messenger RNA (mRNA) turnover in eukaryotic cells begins with shortening of the poly (A) tail at the 3' end, a process called deadenylation. In yeast, the deadenylation reaction is predominantly mediated by CCR4 and CCR4-associated factor 1 (CAF1), two components of the well-characterised protein complex named CCR4-NOT. We re-port here that AtCAFla and AtCAFlb, putative Arabidopsis homologs of the yeast CAFI gene, partially complement the growth defect of the yeast cafl mutant in the presence of caffeine or at high temperatures. The expression of At-CAFla and AtCAFlb is induced by multiple stress-related hormones and stimuli. Both AtCAFIa and AtCAFIb show deadenylation activity in vitro and point mutations in the predicted active sites disrupt this activity. T-DNA inser-tion mutants disrupting the expression of AtCAFla and/or AtCAFlb are defective in deadenylation of stress-related mRNAs, indicating that the two AtCAFI proteins are involved in regulated mRNA deadenylation in vivo. Interest-ingly, the single and double mutants of AtCAFla and AtCAFlb show reduced expression of pathogenesis-related (PR) genes PR1 and PR2 and are more susceptible to Pseudomonas syringae pv tomato DC3000 (Pst DC3000) infection, whereas transgenic plants over-expressing AtCAFla show elevated expression of PR1 and PR2 and increased resis-tance to the same pathogen. Our results suggest roles of the AtCAF1 proteins in regulated mRNA deadenylation and defence responses to pathogen infections.

  15. Analysis of Factors Affecting Inflation in Indonesia: an Islamic Perspective

    Directory of Open Access Journals (Sweden)

    Elis Ratna Wulan

    2015-04-01

    Full Text Available This study aims to determine the factors affecting inflation. The research is descriptive quantitative in nature. The data used are reported exchange rates, interest rates, money supply and inflation during 2008-2012. The research data was analyzed using multiple linear regression analysis. The results showed in the year 2008-2012 the condition of each variable are (1 the rate of inflation has a negative trend, (2 the interest rate has a negative trend, (3 the money supply has a positive trend, (4 the value of exchange rate has a positive trend. The test results by using multiple linear regression analysis result that variable interest rates, the money supply and the exchange rate of the rupiah significant effect on the rate of inflation.

  16. Exploring leadership styles for innovation: an exploratory factor analysis

    Directory of Open Access Journals (Sweden)

    Wipulanusat Warit

    2017-03-01

    Full Text Available Leadership plays a vital role in building the process, structures, and climate for an organisation to become innovative and to motivate team expectations toward innovations. This study explores the leadership styles that engineers regard as significant for innovation in the public sector. Exploratory factor analysis (EFA was conducted to identify the principal leadership styles influencing innovation in the Australian Public Service (APS, using survey data extracted from the 2014 APS employee census comprising 3 125 engineering professionals in Commonwealth of Australia departments. EFA returned a two-factor structure explaining 77.6% of the variance of the leadership for innovation construct. In this study, the results from the EFA provided a clear estimation of the factor structure of the measures for leadership for innovation. From the results, the two factors extracted were transformational leadership and consideration leadership. In transformational leadership, a leader values organisational objectives, inspires subordinates to perform, and motivates followers beyond expected levels of work standards. Consideration leadership refers to the degree to which a leader shows concern and expressions of support for subordinates, takes care of their welfare, treats members as equals, and displays warmth and approachability. These findings highlight the role of leadership as the most critical predictor when considering the degree to which subordinates strive for creativity and innovation. Both transformational and consideration leadership styles are recommended to be incorporated into management training and development programs. This study also recommends that Commonwealth departments recruit supervisors who have both of these leadership styles before implementing innovative projects.

  17. Versatile reporter systems show that transactivation by human T-cell leukemia virus type 1 Tax occurs independently of chromatin remodeling factor BRG1.

    Science.gov (United States)

    Zhang, Ling; Liu, Meihong; Merling, Randall; Giam, Chou-Zen

    2006-08-01

    Potent activation of human T-cell leukemia virus type 1 (HTLV-1) gene expression is mediated by the virus-encoded transactivator protein Tax and three imperfect 21-bp repeats in the viral long terminal repeats. Each 21-bp repeat contains a cAMP-responsive-element core flanked by 5' G-rich and 3' C-rich sequences. Tax alone does not bind DNA. Rather, it interacts with basic domain-leucine zipper transcription factors CREB and ATF-1 to form ternary complexes with the 21-bp repeats. In the context of the ternary complexes, Tax contacts the G/C-rich sequences and recruits transcriptional coactivators CREB-binding protein (CBP)/p300 to effect potent transcriptional activation. Using an easily transduced and chromosomally integrated reporter system derived from a self-inactivating lentivirus vector, we showed in a BRG1- and BRM1-deficient adrenal carcinoma cell line, SW-13, that Tax- and 21-bp repeat-mediated transactivation does not require BRG1 or BRM1 and is not enhanced by BRG1. With a similar reporter system, we further demonstrated that Tax- and tumor necrosis factor alpha-induced NF-kappaB activation occurs readily in SW-13 cells in the absence of BRG1 and BRM1. These results suggest that the assembly of stable multiprotein complexes containing Tax, CREB/ATF-1, and CBP/p300 on the 21-bp repeats is the principal mechanism employed by Tax to preclude nucleosome formation at the HTLV-1 enhancer/promoter. This most likely bypasses the need for BRG1-containing chromatin-remodeling complexes. Likewise, recruitment of CBP/p300 by NF-kappaB may be sufficient to disrupt histone-DNA interaction for the initiation of transcription.

  18. Phenotypic factor analysis of psychopathology reveals a new body-related transdiagnostic factor.

    Science.gov (United States)

    Pezzoli, Patrizia; Antfolk, Jan; Santtila, Pekka

    2017-01-01

    Comorbidity challenges the notion of mental disorders as discrete categories. An increasing body of literature shows that symptoms cut across traditional diagnostic boundaries and interact in shaping the latent structure of psychopathology. Using exploratory and confirmatory factor analysis, we reveal the latent sources of covariation among nine measures of psychopathological functioning in a population-based sample of 13024 Finnish twins and their siblings. By implementing unidimensional, multidimensional, second-order, and bifactor models, we illustrate the relationships between observed variables, specific, and general latent factors. We also provide the first investigation to date of measurement invariance of the bifactor model of psychopathology across gender and age groups. Our main result is the identification of a distinct "Body" factor, alongside the previously identified Internalizing and Externalizing factors. We also report relevant cross-disorder associations, especially between body-related psychopathology and trait anger, as well as substantial sex and age differences in observed and latent means. The findings expand the meta-structure of psychopathology, with implications for empirical and clinical practice, and demonstrate shared mechanisms underlying attitudes towards nutrition, self-image, sexuality and anger, with gender- and age-specific features.

  19. FACTOR ANALYSIS OF THE ELKINS HYPNOTIZABILITY SCALE

    Science.gov (United States)

    Elkins, Gary; Johnson, Aimee K.; Johnson, Alisa J.; Sliwinski, Jim

    2015-01-01

    Assessment of hypnotizability can provide important information for hypnosis research and practice. The Elkins Hypnotizability Scale (EHS) consists of 12 items and was developed to provide a time-efficient measure for use in both clinical and laboratory settings. The EHS has been shown to be a reliable measure with support for convergent validity with the Stanford Hypnotic Susceptibility Scale, Form C (r = .821, p < .001). The current study examined the factor structure of the EHS, which was administered to 252 adults (51.3% male; 48.7% female). Average time of administration was 25.8 minutes. Four factors selected on the basis of the best theoretical fit accounted for 63.37% of the variance. The results of this study provide an initial factor structure for the EHS. PMID:25978085

  20. ANALYSIS OF EXTERNAL FACTORS AFFECTING THE PRICING

    Directory of Open Access Journals (Sweden)

    Irina A. Kiseleva

    2013-01-01

    Full Text Available The external factors influencing the process of formation of tariffs of commercial services are considered in the article. External environment is known to be very diverse and changeable. Currently, pricing has become one of the key processes of strategic development of a company. Pricing in the service sector, in turn, is highly susceptible to changes in the external environment. Its components directly or indirectly affect the market of services, changing it adopted economic processes. As a rule, firms providing services can’t influence the changes in external factors. However, the service market is very flexible, which enables businesses to reshape pricing strategy, to adapt it to the new environment.

  1. Late-Life Environmental Enrichment Induces Acetylation Events and Nuclear Factor κB-Dependent Regulations in the Hippocampus of Aged Rats Showing Improved Plasticity and Learning.

    Science.gov (United States)

    Neidl, Romain; Schneider, Anne; Bousiges, Olivier; Majchrzak, Monique; Barbelivien, Alexandra; de Vasconcelos, Anne Pereira; Dorgans, Kevin; Doussau, Frédéric; Loeffler, Jean-Philippe; Cassel, Jean-Christophe; Boutillier, Anne-Laurence

    2016-04-13

    Aging weakens memory functions. Exposing healthy rodents or pathological rodent models to environmental enrichment (EE) housing improves their cognitive functions by changing neuronal levels of excitation, cellular signaling, and plasticity, notably in the hippocampus. At the molecular level, brain derived-neurotrophic factor (BDNF) represents an important player that supports EE-associated changes. EE facilitation of learning was also shown to correlate with chromatin acetylation in the hippocampus. It is not known, however, whether such mechanisms are still into play during aging. In this study, we exposed a cohort of aged rats (18-month-old) to either a 6 month period of EE or standard housing conditions and investigated chromatin acetylation-associated events [histone acetyltranferase activity, gene expression, and histone 3 (H3) acetylation] and epigenetic modulation of the Bdnf gene under rest conditions and during learning. We show that EE leads to upregulation of acetylation-dependent mechanisms in aged rats, whether at rest or following a learning challenge. We found an increased expression of Bdnf through Exon-I-dependent transcription, associated with an enrichment of acetylated H3 at several sites of Bdnf promoter I, more particularly on a proximal nuclear factor κB (NF-κB) site under learning conditions. We further evidenced p65/NF-κB binding to chromatin at promoters of genes important for plasticity and hippocampus-dependent learning (e.g., Bdnf, CamK2D). Altogether, our findings demonstrate that aged rats respond to a belated period of EE by increasing hippocampal plasticity, together with activating sustained acetylation-associated mechanisms recruiting NF-κB and promoting related gene transcription. These responses are likely to trigger beneficial effects associated with EE during aging. Aging weakens memory functions. Optimizing the neuronal circuitry required for normal brain function can be achieved by increasing sensory, motor, and

  2. Factor Analysis for Spectral Reconnaissance and Situational Understanding

    Science.gov (United States)

    2016-07-11

    reviewed journals: Final Report: Factor Analysis for Spectral Reconnaissance and Situational Understanding Report Title The Army has a critical need for...based NP-hard design problems, by associating them with corresponding estimation problems. 1 Factor Analysis for Spectral Reconnaissance and Situational ...SECURITY CLASSIFICATION OF: The Army has a critical need for enhancing situational understanding for dismounted soldiers and rapidly deployed tactical

  3. A Factor Analysis of the BSRI and the PAQ.

    Science.gov (United States)

    Edwards, Teresa A.; And Others

    Factor analysis of the Bem Sex Role Inventory (BSRI) and the Personality Attributes Questionnaire (PAQ) was undertaken to study the independence of the masculine and feminine scales within each instrument. Both instruments were administered to undergraduate education majors. Analysis of primary first and second order factors of the BSRI indicated…

  4. Exploratory Factor Analysis of African Self-Consciousness Scale Scores

    Science.gov (United States)

    Bhagwat, Ranjit; Kelly, Shalonda; Lambert, Michael C.

    2012-01-01

    This study replicates and extends prior studies of the dimensionality, convergent, and external validity of African Self-Consciousness Scale scores with appropriate exploratory factor analysis methods and a large gender balanced sample (N = 348). Viable one- and two-factor solutions were cross-validated. Both first factors overlapped significantly…

  5. Multigroup Confirmatory Factor Analysis: Locating the Invariant Referent Sets

    Science.gov (United States)

    French, Brian F.; Finch, W. Holmes

    2008-01-01

    Multigroup confirmatory factor analysis (MCFA) is a popular method for the examination of measurement invariance and specifically, factor invariance. Recent research has begun to focus on using MCFA to detect invariance for test items. MCFA requires certain parameters (e.g., factor loadings) to be constrained for model identification, which are…

  6. Factor Analysis of People Rather than Variables: Q and Other Two-Mode Factor Analytic Models.

    Science.gov (United States)

    Frederick, Brigitte N.

    Factor analysis attempts to study how different objects group together to form factors with the purposes of: (1) reducing the number of factorable entities (e.g., variables) with which the researcher needs to deal; (2) searching data for qualitative and quantitative differences; and (3) testing hypotheses (R. Gorsuch, 1983). While most factor…

  7. Chiral analysis of baryon form factors

    Energy Technology Data Exchange (ETDEWEB)

    Gail, T.A.

    2007-11-08

    This work presents an extensive theoretical investigation of the structure of the nucleon within the standard model of elementary particle physics. In particular, the long range contributions to a number of various form factors parametrizing the interactions of the nucleon with an electromagnetic probe are calculated. The theoretical framework for those calculations is chiral perturbation theory, the exact low energy limit of Quantum Chromo Dynamics, which describes such long range contributions in terms of a pion-cloud. In this theory, a nonrelativistic leading one loop order calculation of the form factors parametrizing the vector transition of a nucleon to its lowest lying resonance, the {delta}, a covariant calculation of the isovector and isoscalar vector form factors of the nucleon at next to leading one loop order and a covariant calculation of the isoscalar and isovector generalized vector form factors of the nucleon at leading one loop order are performed. In order to perform consistent loop calculations in the covariant formulation of chiral perturbation theory an appropriate renormalization scheme is defined in this work. All theoretical predictions are compared to phenomenology and results from lattice QCD simulations. These comparisons allow for a determination of the low energy constants of the theory. Furthermore, the possibility of chiral extrapolation, i.e. the extrapolation of lattice data from simulations at large pion masses down to the small physical pion mass is studied in detail. Statistical as well as systematic uncertainties are estimated for all results throughout this work. (orig.)

  8. A novel, selective inhibitor of fibroblast growth factor receptors that shows a potent broad spectrum of antitumor activity in several tumor xenograft models.

    Science.gov (United States)

    Zhao, Genshi; Li, Wei-Ying; Chen, Daohong; Henry, James R; Li, Hong-Yu; Chen, Zhaogen; Zia-Ebrahimi, Mohammad; Bloem, Laura; Zhai, Yan; Huss, Karen; Peng, Sheng-Bin; McCann, Denis J

    2011-11-01

    The fibroblast growth factor receptors (FGFR) are tyrosine kinases that are present in many types of endothelial and tumor cells and play an important role in tumor cell growth, survival, and migration as well as in maintaining tumor angiogenesis. Overexpression of FGFRs or aberrant regulation of their activities has been implicated in many forms of human malignancies. Therefore, targeting FGFRs represents an attractive strategy for development of cancer treatment options by simultaneously inhibiting tumor cell growth, survival, and migration as well as tumor angiogenesis. Here, we describe a potent, selective, small-molecule FGFR inhibitor, (R)-(E)-2-(4-(2-(5-(1-(3,5-Dichloropyridin-4-yl)ethoxy)-1H-indazol-3yl)vinyl)-1H-pyrazol-1-yl)ethanol, designated as LY2874455. This molecule is active against all 4 FGFRs, with a similar potency in biochemical assays. It exhibits a potent activity against FGF/FGFR-mediated signaling in several cancer cell lines and shows an excellent broad spectrum of antitumor activity in several tumor xenograft models representing the major FGF/FGFR relevant tumor histologies including lung, gastric, and bladder cancers and multiple myeloma, and with a well-defined pharmacokinetic/pharmacodynamic relationship. LY2874455 also exhibits a 6- to 9-fold in vitro and in vivo selectivity on inhibition of FGF- over VEGF-mediated target signaling in mice. Furthermore, LY2874455 did not show VEGF receptor 2-mediated toxicities such as hypertension at efficacious doses. Currently, this molecule is being evaluated for its potential use in the clinic.

  9. Analytic standard errors for exploratory process factor analysis.

    Science.gov (United States)

    Zhang, Guangjian; Browne, Michael W; Ong, Anthony D; Chow, Sy Miin

    2014-07-01

    Exploratory process factor analysis (EPFA) is a data-driven latent variable model for multivariate time series. This article presents analytic standard errors for EPFA. Unlike standard errors for exploratory factor analysis with independent data, the analytic standard errors for EPFA take into account the time dependency in time series data. In addition, factor rotation is treated as the imposition of equality constraints on model parameters. Properties of the analytic standard errors are demonstrated using empirical and simulated data.

  10. A replication of a factor analysis of motivations for trapping

    Science.gov (United States)

    Schroeder, Susan; Fulton, David C.

    2015-01-01

    Using a 2013 sample of Minnesota trappers, we employed confirmatory factor analysis to replicate an exploratory factor analysis of trapping motivations conducted by Daigle, Muth, Zwick, and Glass (1998).  We employed the same 25 items used by Daigle et al. and tested the same five-factor structure using a recent sample of Minnesota trappers. We also compared motivations in our sample to those reported by Daigle et el.

  11. Gefitinib, an epidermal growth factor receptor blockade agent, shows additional or synergistic effects on the radiosensitivity of esophageal cancer cells in vitro.

    Directory of Open Access Journals (Sweden)

    Taira,Naruto

    2006-02-01

    Full Text Available

    Human esophageal cancers have been shown to express high levels of epidermal growth factor receptor (EGFR and a relationship between high EGFR expression and local advance, the number of lymph node metastases, life expectancy, and sensitivity to chemo-radiotherapy has been demonstrated. We examined the use of gefitinib, an orally active EGFR-selective tyrosine kinase inhibitor, as a new strategy for treatment of esophageal carcinoma. The effects of gefitinib were evaluated in monotherapy and in combination with radiotherapy in human esophageal carcinoma cell lines. Gefitinib produced a dose-dependent inhibition of cellular proliferation in all of the 8 esophageal carcinoma cell lines examined, with IC50 values ranging from 5.7 microM to 36.9 microM. In combination, gefitinib and radiotherapy showed a synergistic effect in 2 human esophageal carcinoma cell lines and an additive effect in 5 cell lines. Western blotting demonstrated that gefitinib blocked activation of the EGFR-extracellular signal-regulated kinase (Erk pathway and the EGFR-phosphoinositide-3 kinase (PI3K-Akt pathway after irradiation. These results suggest that further evaluation of EGFR blockade as a treatment for esophageal cancer should be performed, and that radiotherapy combined with EGFR blockade may enhance the response of esophageal carcinoma to therapy.

  12. An improvement of window factor analysis for resolution of noisy HPLC-DAD data

    Institute of Scientific and Technical Information of China (English)

    邵学广; 林祥钦; 邵利民; 李梅青

    2002-01-01

    Window factor analysis (WFA) is a powerful tool in analyzing evolutionary process. However, it was found that window factor analysis is much sensitive to the noise involved in original data matrix. An error analysis was done with the fact that the concentration profiles resolved by the conventional window factor analysis are easily distorted by the noise reserved by the abstract factor analysis (AFA), and a modified algorithm for window factor analysis was proposed. Both simulated and experimental HPLC-DAD data were investigated by the conventional and the improved methods. Results show that the improved method can yield less noise-distorted concentration profiles than the conventional method, and the ability for resolution of noisy data sets can be greatly enhanced.

  13. Global gene analysis of oocytes from early stages in human folliculogenesis shows high expression of novel genes in reproduction

    DEFF Research Database (Denmark)

    Markholt, Sara; Grøndahl, M L; Ernst, Erik

    2012-01-01

    The pool of primordial follicles in humans is laid down during embryonic development and follicles can remain dormant for prolonged intervals, often decades, until individual follicles resume growth. The mechanisms that induce growth and maturation of primordial follicles are poorly understood...... but follicles once activated either continue growth or undergo atresia. We have isolated pure populations of oocytes from human primordial, intermediate and primary follicles using laser capture micro-dissection microscopy and evaluated the global gene expression profiles by whole-genome microarray analysis...

  14. Genome-wide analysis of AP2/ERF family genes from Lotus corniculatus shows LcERF054 enhances salt tolerance.

    Science.gov (United States)

    Sun, Zhan-Min; Zhou, Mei-Liang; Xiao, Xing-Guo; Tang, Yi-Xiong; Wu, Yan-Min

    2014-09-01

    Lotus corniculatus is used in agriculture as a main forage plant. Members of the Apetala2/ethylene response factor (AP2/ERF) family play important roles in regulating gene expression in response to many forms of stress, including drought and salt. Here, starting from database of the L. corniculatus var. japonicus genome, we identified 127 AP2/ERF genes by insilico cloning method. The phylogeny, gene structures, and putative conserved motifs in L. corniculatus var. japonicus ERF proteins were analyzed. Based on the number of AP2/ERF domains and the function of the genes, 127 AP2/ERF genes from L. corniculatus var. japonicus were classified into five subfamilies named the AP2, dehydration-responsive element binding factor (DREB), ERF, RAV, and a soloist. Outside the AP2/ERF domain, many L. corniculatus var. japonicus-specific conserved motifs were detected. Expression profile analysis of AP2/ERF genes by quantitative real-time PCR revealed that 19 LcERF genes, including LcERF054 (KJ004728), were significantly induced by salt stress. The results showed that the LcERF054 gene encodes a nuclear transcription activator. Overexpression of LcERF054 in Arabidopsis enhanced the tolerances to salt stress, showed higher germination ratio of seeds, and had elevated levels of relative moisture contents, soluble sugars, proline, and lower levels of malondialdehyde under stress conditions compared to wild-type plants. The expression of hyperosmotic salinity response genes COR15A, LEA4-5, P5CS1, and RD29A was found to be elevated in the LcERF054-overexpressing Arabidopsis plants compared to wild type. These results revealed that the LcERF genes play important roles in L. corniculatus cv Leo under salt stress and that LcERFs are attractive engineering targets in applied efforts to improve abiotic stress tolerances in L. corniculatus cv Leo or other crops.

  15. Analysis of Interaction Factors Between Two Piles

    Institute of Scientific and Technical Information of China (English)

    CAO Ming; CHEN Long-zhu

    2008-01-01

    A rigorous analytical method is presented for calculating the interaction factor between two identical piles subjected to vertical loads. Following the technique proposed by Muki and Sternberg, the problem is decomposed into an extended soil mass and two fictitious piles characterized respectively by Young's modulus of the soil and that of the difference between the pile and soil. The unknown axial forces along fictitious piles are determined by solving a Fredholm integral equation of the second kind, which imposes the compatibility condition that the axial strains of the fictitious piles are equal to those corresponding to the centroidal axes of the extended soil. The real pile forces and displacements can subequally be calculated based on the determined fictitious pile forces, and finally, the desired pile interaction factors may be obtained. Results confirm the validity of the proposed approach and portray the influence of the governing parameters on the pile interaction.

  16. Analysis of factors affecting fattening of chickens

    OpenAIRE

    OBERMAJEROVÁ, Barbora

    2013-01-01

    Poultry meat belongs to the basic assortment of human nutrition. The meat of an intensively fattened poultry is a source of easily digestible proteins, lipids, mineral substances and vitamins. The aim of this bachelor´s thesis was to write out a literature review, which is focused on the intensity of growth, carcass yield, quality and composition of broiler chickens meat. The following describes the internal and external factors that affect them, i.e. genetic foundation, hybrid combination, s...

  17. Investigating product development strategy in beverage industry using factor analysis

    Directory of Open Access Journals (Sweden)

    Naser Azad

    2013-03-01

    Full Text Available Selecting a product development strategy that is associated with the company's current service or product innovation, based on customers’ needs and changing environment, plays an important role in increasing demand, increasing market share, increasing sales and profits. Therefore, it is important to extract effective variables associated with product development to improve performance measurement of firms. This paper investigates important factors influencing product development strategies using factor analysis. The proposed model of this paper investigates 36 factors and, using factor analysis, we extract six most influential factors including information sharing, intelligence information, exposure strategy, differentiation, research and development strategy and market survey. The first strategy, partnership, includes five sub-factor including product development partnership, partnership with foreign firms, customers’ perception from competitors’ products, Customer involvement in product development, inter-agency coordination, customer-oriented approach to innovation and transmission of product development change where inter-agency coordination has been considered the most important factor. Internal strengths are the most influential factors impacting the second strategy, intelligence information. The third factor, introducing strategy, introducing strategy, includes four sub criteria and consumer buying behavior is the most influencing factor. Differentiation is the next important factor with five components where knowledge and expertise in product innovation is the most important one. Research and development strategy with four sub-criteria where reducing product development cycle plays the most influential factor and finally, market survey strategy is the last important factor with three factors and finding new market plays the most important role.

  18. Whole Genome Sequence and Phylogenetic Analysis Show Helicobacter pylori Strains from Latin America Have Followed a Unique Evolution Pathway

    Science.gov (United States)

    Muñoz-Ramírez, Zilia Y.; Mendez-Tenorio, Alfonso; Kato, Ikuko; Bravo, Maria M.; Rizzato, Cosmeri; Thorell, Kaisa; Torres, Roberto; Aviles-Jimenez, Francisco; Camorlinga, Margarita; Canzian, Federico; Torres, Javier

    2017-01-01

    Helicobacter pylori (HP) genetics may determine its clinical outcomes. Despite high prevalence of HP infection in Latin America (LA), there have been no phylogenetic studies in the region. We aimed to understand the structure of HP populations in LA mestizo individuals, where gastric cancer incidence remains high. The genome of 107 HP strains from Mexico, Nicaragua and Colombia were analyzed with 59 publicly available worldwide genomes. To study bacterial relationship on whole genome level we propose a virtual hybridization technique using thousands of high-entropy 13 bp DNA probes to generate fingerprints. Phylogenetic virtual genome fingerprint (VGF) was compared with Multi Locus Sequence Analysis (MLST) and with phylogenetic analyses of cagPAI virulence island sequences. With MLST some Nicaraguan and Mexican strains clustered close to Africa isolates, whereas European isolates were spread without clustering and intermingled with LA isolates. VGF analysis resulted in increased resolution of populations, separating European from LA strains. Furthermore, clusters with exclusively Colombian, Mexican, or Nicaraguan strains were observed, where the Colombian cluster separated from Europe, Asia, and Africa, while Nicaraguan and Mexican clades grouped close to Africa. In addition, a mixed large LA cluster including Mexican, Colombian, Nicaraguan, Peruvian, and Salvadorian strains was observed; all LA clusters separated from the Amerind clade. With cagPAI sequence analyses LA clades clearly separated from Europe, Asia and Amerind, and Colombian strains formed a single cluster. A NeighborNet analyses suggested frequent and recent recombination events particularly among LA strains. Results suggests that in the new world, H. pylori has evolved to fit mestizo LA populations, already 500 years after the Spanish colonization. This co-adaption may account for regional variability in gastric cancer risk. PMID:28293542

  19. Functional analysis of glycoside hydrolase family 8 xylanases shows narrow but distinct substrate specificities and biotechnological potential.

    Science.gov (United States)

    Pollet, Annick; Schoepe, Jan; Dornez, Emmie; Strelkov, Sergei V; Delcour, Jan A; Courtin, Christophe M

    2010-08-01

    The potential of glycoside hydrolase family (GH) 8 xylanases in biotechnological applications is virtually unexplored. Therefore, the substrate preference and hydrolysis product profiles of two GH8 xylanases were evaluated to investigate their activities and substrate specificities. A GH8 xylanase from an uncultured bacterium (rXyn8) shows endo action but very selectively releases xylotriose from its substrates. It has a higher activity than the Pseudoalteromonas haloplanktis GH8 endo-xylanase (PhXyl) on xylononaose and smaller xylo-oligosaccharides. PhXyl preferably degrades xylan substrates with a high degree of polymerization. It is sterically more hindered by arabinose substituents than rXyn8, producing larger end hydrolysis products. The specificities of rXyn8 and PhXyl differ completely from these of the previously described GH8 xylanases from Bifidobacterium adolescentis (BaRexA) and Bacillus halodurans (BhRex). As reducing-end xylose-releasing exo-oligoxylanases, they selectively release xylose from the reducing end of small xylo-oligosaccharides. The findings of this study show that GH8 xylanases have a narrow substrate specificity, but also one that strongly varies between family members and is distinct from that of GH10 and GH11 xylanases. Structural comparison of rXyn8, PhXyl, BaRexA, and BhRex showed that subtle amino acid changes in the glycon as well as the aglycon subsites probably form the basis of the observed differences between GH8 xylanases. GH8 xylanases, therefore, are an interesting group of enzymes, with potential towards engineering and applications.

  20. Transcriptomic and metabolomic analysis of Yukon Thellungiella plants grown in cabinets and their natural habitat show phenotypic plasticity

    Directory of Open Access Journals (Sweden)

    Guevara David R

    2012-10-01

    Full Text Available Abstract Background Thellungiella salsuginea is an important model plant due to its natural tolerance to abiotic stresses including salt, cold, and water deficits. Microarray and metabolite profiling have shown that Thellungiella undergoes stress-responsive changes in transcript and organic solute abundance when grown under controlled environmental conditions. However, few reports assess the capacity of plants to display stress-responsive traits in natural habitats where concurrent stresses are the norm. Results To determine whether stress-responsive changes observed in cabinet-grown plants are recapitulated in the field, we analyzed leaf transcript and metabolic profiles of Thellungiella growing in its native Yukon habitat during two years of contrasting meteorological conditions. We found 673 genes showing differential expression between field and unstressed, chamber-grown plants. There were comparatively few overlaps between genes expressed under field and cabinet treatment-specific conditions. Only 20 of 99 drought-responsive genes were expressed both in the field during a year of low precipitation and in plants subjected to drought treatments in cabinets. There was also a general pattern of lower abundance among metabolites found in field plants relative to control or stress-treated plants in growth cabinets. Nutrient availability may explain some of the observed differences. For example, proline accumulated to high levels in cold and salt-stressed cabinet-grown plants but proline content was, by comparison, negligible in plants at a saline Yukon field site. We show that proline accumulated in a stress-responsive manner in Thellungiella plants salinized in growth cabinets and in salt-stressed seedlings when nitrogen was provided at 1.0 mM. In seedlings grown on 0.1 mM nitrogen medium, the proline content was low while carbohydrates increased. The relatively higher content of sugar-like compounds in field plants and seedlings on low nitrogen

  1. Transcriptional profiling by cDNA-AFLP analysis showed differential transcript abundance in response to water stress in Populus hopeiensis

    Directory of Open Access Journals (Sweden)

    Song Yuepeng

    2012-06-01

    Full Text Available Abstract Background Drought is one of the main environmental factors limiting tree growth and productivity of plantation forests worldwide. Populus hopeiensis Hu et Chow is one of the most important commercial plantation tree species in China. However, the genes controlling drought tolerance in this species have not been identified or characterized. Here, we conducted differential expression analyses and identified a number of genes that were up- or downregulated in P. hopeiensis during water stress. To the best of our knowledge, this is the first comprehensive study of differentially expressed genes in water-stressed P. hopeiensis. Results Using the cDNA-AFLP detection technique, we used 256 primer combinations to identify differentially expressed genes in P. hopeiensis during water stress. In total, 415 transcript derived-fragments (TDFs were obtained from 10× deep sequencing of 473 selected TDFs. Of the 415 TDFs, 412 were annotated by BLAST searches against various databases. The majority of these genes encoded products involved in ion transport and compartmentalization, cell division, metabolism, and protein synthesis. The TDFs were clustered into 12 groups on the basis of their expression patterns. Of the 415 reliable TDFs, the sequences of 35 were homologous to genes that play roles in short or long-term resistance to drought stress. Some genes were further selected for validation of cDNA-AFLP expression patterns using real-time PCR analyses. The results confirmed the expression patterns that were detected using the cDNA-AFLP technique. Conclusion The cDNA-AFLP technique is an effective and powerful tool for identifying candidate genes that are differentially expressed under water stress. We demonstrated that 415 TDFs were differentially expressed in water-stressed poplar. The products of these genes are involved in various biological processes in the drought response of poplar. The results of this study will aid in the identification of

  2. Confirmatory factor analysis of the Child Oral Health Impact Profile (Korean version).

    Science.gov (United States)

    Cho, Young Il; Lee, Soonmook; Patton, Lauren L; Kim, Hae-Young

    2016-04-01

    Empirical support for the factor structure of the Child Oral Health Impact Profile (COHIP) has not been fully established. The purposes of this study were to evaluate the factor structure of the Korean version of the COHIP (COHIP-K) empirically using confirmatory factor analysis (CFA) based on the theoretical framework and then to assess whether any of the factors in the structure could be grouped into a simpler single second-order factor. Data were collected through self-reported COHIP-K responses from a representative community sample of 2,236 Korean children, 8-15 yr of age. Because a large inter-factor correlation of 0.92 was estimated in the original five-factor structure, the two strongly correlated factors were combined into one factor, resulting in a four-factor structure. The revised four-factor model showed a reasonable fit with appropriate inter-factor correlations. Additionally, the second-order model with four sub-factors was reasonable with sufficient fit and showed equal fit to the revised four-factor model. A cross-validation procedure confirmed the appropriateness of the findings. Our analysis empirically supported a four-factor structure of COHIP-K, a summarized second-order model, and the use of an integrated summary COHIP score.

  3. Empirical Analysis on Factors Behind Successful Entrepreneurs

    OpenAIRE

    MATSUDA Naoko; Matsuo, Yutaka

    2014-01-01

    This research analyzes how human capital and social capital may impact business start-up activities by dividing the business start-up process into three stages and two periods. It shows that the kind of social capital involved in setting up a company differs from that required for the entrepreneur to make a profit. It also shows that successful entrepreneurs and those who are not exhibit different trends in their selection of persons with whom they consult regarding business operations and th...

  4. A Unified Factors Analysis Framework for Discriminative Feature Extraction and Object Recognition

    Directory of Open Access Journals (Sweden)

    Ningbo Hao

    2016-01-01

    Full Text Available Various methods for feature extraction and dimensionality reduction have been proposed in recent decades, including supervised and unsupervised methods and linear and nonlinear methods. Despite the different motivations of these methods, we present in this paper a general formulation known as factor analysis to unify them within a common framework. During factor analysis, an object can be seen as being comprised of content and style factors, and the objective of feature extraction and dimensionality reduction is to obtain the content factor without style factor. There are two vital steps in factor analysis framework; one is the design of factor separating objective function, including the design of partition and weight matrix, and the other is the design of space mapping function. In this paper, classical Linear Discriminant Analysis (LDA and Locality Preserving Projection (LPP algorithms are improved based on factor analysis framework, and LDA based on factor analysis (FA-LDA and LPP based on factor analysis (FA-LPP are proposed. Experimental results show the superiority of our proposed approach in classification performance compared to classical LDA and LPP algorithms.

  5. Signs and symptoms of acute mania: a factor analysis

    Directory of Open Access Journals (Sweden)

    de Silva Varuni A

    2011-08-01

    Full Text Available Abstract Background The major diagnostic classifications consider mania as a uni-dimensional illness. Factor analytic studies of acute mania are fewer compared to schizophrenia and depression. Evidence from factor analysis suggests more categories or subtypes than what is included in the classification systems. Studies have found that these factors can predict differences in treatment response and prognosis. Methods The sample included 131 patients consecutively admitted to an acute psychiatry unit over a period of one year. It included 76 (58% males. The mean age was 44.05 years (SD = 15.6. Patients met International Classification of Diseases-10 (ICD-10 clinical diagnostic criteria for a manic episode. Patients with a diagnosis of mixed bipolar affective disorder were excluded. Participants were evaluated using the Young Mania Rating Scale (YMRS. Exploratory factor analysis (principal component analysis was carried out and factors with an eigenvalue > 1 were retained. The significance level for interpretation of factor loadings was 0.40. The unrotated component matrix identified five factors. Oblique rotation was then carried out to identify three factors which were clinically meaningful. Results Unrotated principal component analysis extracted five factors. These five factors explained 65.36% of the total variance. Oblique rotation extracted 3 factors. Factor 1 corresponding to 'irritable mania' had significant loadings of irritability, increased motor activity/energy and disruptive aggressive behaviour. Factor 2 corresponding to 'elated mania' had significant loadings of elevated mood, language abnormalities/thought disorder, increased sexual interest and poor insight. Factor 3 corresponding to 'psychotic mania' had significant loadings of abnormalities in thought content, appearance, poor sleep and speech abnormalities. Conclusions Our findings identified three clinically meaningful factors corresponding to 'elated mania', 'irritable mania

  6. Mutational analysis of sclerostin shows importance of the flexible loop and the cystine-knot for Wnt-signaling inhibition.

    Science.gov (United States)

    Boschert, Verena; van Dinther, Maarten; Weidauer, Stella; van Pee, Katharina; Muth, Eva-Maria; Ten Dijke, Peter; Mueller, Thomas D

    2013-01-01

    The cystine-knot containing protein Sclerostin is an important negative regulator of bone growth and therefore represents a promising therapeutic target. It exerts its biological task by inhibiting the Wnt (wingless and int1) signaling pathway, which participates in bone formation by promoting the differentiation of mesenchymal stem cells to osteoblasts. The core structure of Sclerostin consists of three loops with the first and third loop (Finger 1 and Finger 2) forming a structured β-sheet and the second loop being unstructured and highly flexible. Biochemical data showed that the flexible loop is important for binding of Sclerostin to Wnt co-receptors of the low-density lipoprotein related-protein family (LRP), by interacting with the Wnt co-receptors LRP5 or -6 it inhibits Wnt signaling. To further examine the structural requirements for Wnt inhibition, we performed an extensive mutational study within all three loops of the Sclerostin core domain involving single and multiple mutations as well as truncation of important regions. By this approach we could confirm the importance of the second loop and especially of amino acids Asn92 and Ile94 for binding to LRP6. Based on a Sclerostin variant found in a Turkish family suffering from Sclerosteosis we generated a Sclerostin mutant with cysteines 84 and 142 exchanged thereby removing the third disulfide bond of the cystine-knot. This mutant binds to LRP6 with reduced binding affinity and also exhibits a strongly reduced inhibitory activity against Wnt1 thereby showing that also elements outside the flexible loop are important for inhibition of Wnt by Sclerostin. Additionally, we examined the effect of the mutations on the inhibition of two different Wnt proteins, Wnt3a and Wnt1. We could detect clear differences in the inhibition of these proteins, suggesting that the mechanism by which Sclerostin antagonizes Wnt1 and Wnt3a is fundamentally different.

  7. Mutational analysis of sclerostin shows importance of the flexible loop and the cystine-knot for Wnt-signaling inhibition.

    Directory of Open Access Journals (Sweden)

    Verena Boschert

    Full Text Available The cystine-knot containing protein Sclerostin is an important negative regulator of bone growth and therefore represents a promising therapeutic target. It exerts its biological task by inhibiting the Wnt (wingless and int1 signaling pathway, which participates in bone formation by promoting the differentiation of mesenchymal stem cells to osteoblasts. The core structure of Sclerostin consists of three loops with the first and third loop (Finger 1 and Finger 2 forming a structured β-sheet and the second loop being unstructured and highly flexible. Biochemical data showed that the flexible loop is important for binding of Sclerostin to Wnt co-receptors of the low-density lipoprotein related-protein family (LRP, by interacting with the Wnt co-receptors LRP5 or -6 it inhibits Wnt signaling. To further examine the structural requirements for Wnt inhibition, we performed an extensive mutational study within all three loops of the Sclerostin core domain involving single and multiple mutations as well as truncation of important regions. By this approach we could confirm the importance of the second loop and especially of amino acids Asn92 and Ile94 for binding to LRP6. Based on a Sclerostin variant found in a Turkish family suffering from Sclerosteosis we generated a Sclerostin mutant with cysteines 84 and 142 exchanged thereby removing the third disulfide bond of the cystine-knot. This mutant binds to LRP6 with reduced binding affinity and also exhibits a strongly reduced inhibitory activity against Wnt1 thereby showing that also elements outside the flexible loop are important for inhibition of Wnt by Sclerostin. Additionally, we examined the effect of the mutations on the inhibition of two different Wnt proteins, Wnt3a and Wnt1. We could detect clear differences in the inhibition of these proteins, suggesting that the mechanism by which Sclerostin antagonizes Wnt1 and Wnt3a is fundamentally different.

  8. Anatomical network analysis shows decoupling of modular lability and complexity in the evolution of the primate skull.

    Directory of Open Access Journals (Sweden)

    Borja Esteve-Altava

    Full Text Available Modularity and complexity go hand in hand in the evolution of the skull of primates. Because analyses of these two parameters often use different approaches, we do not know yet how modularity evolves within, or as a consequence of, an also-evolving complex organization. Here we use a novel network theory-based approach (Anatomical Network Analysis to assess how the organization of skull bones constrains the co-evolution of modularity and complexity among primates. We used the pattern of bone contacts modeled as networks to identify connectivity modules and quantify morphological complexity. We analyzed whether modularity and complexity evolved coordinately in the skull of primates. Specifically, we tested Herbert Simon's general theory of near-decomposability, which states that modularity promotes the evolution of complexity. We found that the skulls of extant primates divide into one conserved cranial module and up to three labile facial modules, whose composition varies among primates. Despite changes in modularity, statistical analyses reject a positive feedback between modularity and complexity. Our results suggest a decoupling of complexity and modularity that translates to varying levels of constraint on the morphological evolvability of the primate skull. This study has methodological and conceptual implications for grasping the constraints that underlie the developmental and functional integration of the skull of humans and other primates.

  9. Phylogenetic analysis shows that Neolithic slate plaques from the southwestern Iberian Peninsula are not genealogical recording systems.

    Directory of Open Access Journals (Sweden)

    Daniel García Rivero

    Full Text Available Prehistoric material culture proposed to be symbolic in nature has been the object of considerable archaeological work from diverse theoretical perspectives, yet rarely are methodological tools used to test the interpretations. The lack of testing is often justified by invoking the opinion that the slippery nature of past human symbolism cannot easily be tackled by the scientific method. One such case, from the southwestern Iberian Peninsula, involves engraved stone plaques from megalithic funerary monuments dating ca. 3,500-2,750 B.C. (calibrated age. One widely accepted proposal is that the plaques are ancient mnemonic devices that record genealogies. The analysis reported here demonstrates that this is not the case, even when the most supportive data and techniques are used. Rather, we suspect there was a common ideological background to the use of plaques that overlay the southwestern Iberian Peninsula, with little or no geographic patterning. This would entail a cultural system in which plaque design was based on a fundamental core idea, with a number of mutable and variable elements surrounding it.

  10. Phylogenetic analysis shows that Neolithic slate plaques from the southwestern Iberian Peninsula are not genealogical recording systems.

    Science.gov (United States)

    García Rivero, Daniel; O'Brien, Michael J

    2014-01-01

    Prehistoric material culture proposed to be symbolic in nature has been the object of considerable archaeological work from diverse theoretical perspectives, yet rarely are methodological tools used to test the interpretations. The lack of testing is often justified by invoking the opinion that the slippery nature of past human symbolism cannot easily be tackled by the scientific method. One such case, from the southwestern Iberian Peninsula, involves engraved stone plaques from megalithic funerary monuments dating ca. 3,500-2,750 B.C. (calibrated age). One widely accepted proposal is that the plaques are ancient mnemonic devices that record genealogies. The analysis reported here demonstrates that this is not the case, even when the most supportive data and techniques are used. Rather, we suspect there was a common ideological background to the use of plaques that overlay the southwestern Iberian Peninsula, with little or no geographic patterning. This would entail a cultural system in which plaque design was based on a fundamental core idea, with a number of mutable and variable elements surrounding it.

  11. Selection Indices and Multivariate Analysis Show Similar Results in the Evaluation of Growth and Carcass Traits in Beef Cattle.

    Science.gov (United States)

    Brito Lopes, Fernando; da Silva, Marcelo Corrêa; Magnabosco, Cláudio Ulhôa; Goncalves Narciso, Marcelo; Sainz, Roberto Daniel

    2016-01-01

    This research evaluated a multivariate approach as an alternative tool for the purpose of selection regarding expected progeny differences (EPDs). Data were fitted using a multi-trait model and consisted of growth traits (birth weight and weights at 120, 210, 365 and 450 days of age) and carcass traits (longissimus muscle area (LMA), back-fat thickness (BF), and rump fat thickness (RF)), registered over 21 years in extensive breeding systems of Polled Nellore cattle in Brazil. Multivariate analyses were performed using standardized (zero mean and unit variance) EPDs. The k mean method revealed that the best fit of data occurred using three clusters (k = 3) (P multivariate index (LD1) were moderate to high, ranging from 0.48 to 0.97. This reveals that both types of indices give similar results and that the multivariate approach is reliable for the purpose of selection. The alternative tool seems very handy when economic weights are not available or in cases where more rapid identification of the best animals is desired. Interestingly, multivariate analysis allowed forecasting information based on the relationships among breeding values (EPDs). Also, it enabled fine discrimination, rapid data summarization after genetic evaluation, and permitted accounting for maternal ability and the genetic direct potential of the animals. In addition, we recommend the use of longissimus muscle area and subcutaneous fat thickness as selection criteria, to allow estimation of breeding values before the first mating season in order to accelerate the response to individual selection.

  12. Design-around biotechnology patents: an analysis of US Federal Circuit decisions shows the possibility of designing around biotechnology patents.

    Science.gov (United States)

    Wang, Shyh-Jen

    2011-01-01

    In order to demonstrate the possibility of design-around for patents, we reviewed 40 no-infringement cases out of all 4,760 Federal Circuit Court of Appeals (CAFC) cases decided from 2001 to 2009. Based on this analysis, designing around a biotechnology patent first requires a thorough reading of the patent specification and prosecution history. These written descriptions offer explicit directions about claim meanings or the scope being disclaimed. By statute, claims recite and define the structure or acts of an invention, and serve as tools to determine whether or not a patent is infringed. The next procedure would include omitting a part or property from the claim, reversing the action used in the claim, or changing the claim's structure or range to prevent the new design from falling within the scope of the claim. However, cases where patent infringement was found demonstrated that changing the structure or range not recited in the claim, such as enlarging the diameter, reducing concentration or alerting the shape, still falls within the scope of the patent. Although the 40 cases analyzed in this study were not related to vaccines, the thought process can serve as a guideline for patents related to vaccine development.

  13. Analysis of HCV genotypes from blood donors shows three new HCV type 6 subgroups exist in Myanmar.

    Directory of Open Access Journals (Sweden)

    Shinji T

    2004-06-01

    Full Text Available The prevalence of hepatitis C virus (HCV genotypes in Myanmar in comparison with the rest of Southeast Asia is not well known. Serum samples were obtained from 201 HCV antibody-positive volunteer blood donors in and around the Myanmar city of Yangon. Of these, the antibody titers of 101 samples were checked by serial dilution using HCV antibody PA test II and Terasaki microplate as a low-cost method. To compare antibody titers by this method and RNA identification, we also checked HCV-RNA using the Amplicor 2.0 test. Most high-titer groups were positive for HCV-RNA. Of the 201 samples, 110 were successfully polymerase chain reaction (PCR amplified. Among them, 35 (31.8% were of genotype 1, 52 (47.3% were of genotype 3, and 23 (20.9% were of type 6 variants, and phylogenetic analysis of these type 6 variants revealed that 3 new type 6 subgroups exist in Myanmar. We named the subgroups M6-1, M6-2, and M6-3. M6-1 and M6-2 were relatively close to types 8 and 9, respectively. M6-3, though only found in one sample, was a brand-new subgroup. These subtypes were not seen in Vietnam, where type 6 group variants are widely spread. These findings may be useful for analyzing how and when these subgroups were formed.

  14. Impact of MET inhibition on small-cell lung cancer cells showing aberrant activation of the hepatocyte growth factor/MET pathway.

    Science.gov (United States)

    Taniguchi, Hirokazu; Yamada, Tadaaki; Takeuchi, Shinji; Arai, Sachiko; Fukuda, Koji; Sakamoto, Shuichi; Kawada, Manabu; Yamaguchi, Hiroyuki; Mukae, Hiroshi; Yano, Seiji

    2017-07-01

    Small-cell lung cancer (SCLC) accounts for approximately 15% of all lung cancers, and is characterized as extremely aggressive, often displaying rapid tumor growth and multiple organ metastases. In addition, the clinical outcome of SCLC patients is poor due to early relapse and acquired resistance to standard chemotherapy treatments. Hence, novel therapeutic strategies for the treatment of SCLC are urgently required. Accordingly, several molecular targeted therapies were evaluated in SCLC; however, they failed to improve the clinical outcome. The receptor tyrosine kinase MET is a receptor for hepatocyte growth factor (HGF), and aberrant activation of HGF/MET signaling is known as one of the crucial mechanisms enabling cancer progression and invasion. Here, we found that the HGF/MET signaling was aberrantly activated in chemoresistant or chemorelapsed SCLC cell lines (SBC-5, DMS273, and DMS273-G3H) by the secretion of HGF and/or MET copy number gain. A cell-based in vitro assay revealed that HGF/MET inhibition, induced either by MET inhibitors (crizotinib and golvatinib), or by siRNA-mediated knockdown of HGF or MET, constrained growth of chemoresistant SCLC cells through the inhibition of ERK and AKT signals. Furthermore, treatment with either crizotinib or golvatinib suppressed the systemic metastasis of SBC-5 cell tumors in natural killer cell-depleted SCID mice, predominantly through cell cycle arrest. These findings reveal the therapeutic potential of targeting the HGF/MET pathway for inhibition, to constrain tumor progression of SCLC cells showing aberrant activation of HGF/MET signaling. We suggest that it would be clinically valuable to further investigate HGF/MET-mediated signaling in SCLC cells. © 2017 The Authors. Cancer Science published by John Wiley & Sons Australia, Ltd on behalf of Japanese Cancer Association.

  15. A unique modification of the eukaryotic initiation factor 5A shows the presence of the complete hypusine pathway in Leishmania donovani.

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    Bhavna Chawla

    Full Text Available Deoxyhypusine hydroxylase (DOHH catalyzes the final step in the post-translational synthesis of an unusual amino acid hypusine (N(€-(4-amino-2-hydroxybutyl lysine, which is present on only one cellular protein, eukaryotic initiation factor 5A (eIF5A. We present here the molecular and structural basis of the function of DOHH from the protozoan parasite, Leishmania donovani, which causes visceral leishmaniasis. The L. donovani DOHH gene is 981 bp and encodes a putative polypeptide of 326 amino acids. DOHH is a HEAT-repeat protein with eight tandem repeats of α-helical pairs. Four conserved histidine-glutamate sequences have been identified that may act as metal coordination sites. A ~42 kDa recombinant protein with a His-tag was obtained by heterologous expression of DOHH in Escherichia coli. Purified recombinant DOHH effectively catalyzed the hydroxylation of the intermediate, eIF5A-deoxyhypusine (eIF5A-Dhp, in vitro. L. donovani DOHH (LdDOHH showed ~40.6% sequence identity with its human homolog. The alignment of L. donovani DOHH with the human homolog shows that there are two significant insertions in the former, corresponding to the alignment positions 159-162 (four amino acid residues and 174-183 (ten amino acid residues which are present in the variable loop connecting the N- and C-terminal halves of the protein, the latter being present near the substrate binding site. Deletion of the ten-amino-acid-long insertion decreased LdDOHH activity to 14% of the wild type recombinant LdDOHH. Metal chelators like ciclopirox olamine (CPX and mimosine significantly inhibited the growth of L. donovani and DOHH activity in vitro. These inhibitors were more effective against the parasite enzyme than the human enzyme. This report, for the first time, confirms the presence of a complete hypusine pathway in a kinetoplastid unlike eubacteria and archaea. The structural differences between the L. donovani DOHH and the human homolog may be exploited for

  16. A unique modification of the eukaryotic initiation factor 5A shows the presence of the complete hypusine pathway in Leishmania donovani.

    Science.gov (United States)

    Chawla, Bhavna; Kumar, Ravi Ranjan; Tyagi, Nidhi; Subramanian, Gowri; Srinivasan, N; Park, Myung Hee; Madhubala, Rentala

    2012-01-01

    Deoxyhypusine hydroxylase (DOHH) catalyzes the final step in the post-translational synthesis of an unusual amino acid hypusine (N(€)-(4-amino-2-hydroxybutyl) lysine), which is present on only one cellular protein, eukaryotic initiation factor 5A (eIF5A). We present here the molecular and structural basis of the function of DOHH from the protozoan parasite, Leishmania donovani, which causes visceral leishmaniasis. The L. donovani DOHH gene is 981 bp and encodes a putative polypeptide of 326 amino acids. DOHH is a HEAT-repeat protein with eight tandem repeats of α-helical pairs. Four conserved histidine-glutamate sequences have been identified that may act as metal coordination sites. A ~42 kDa recombinant protein with a His-tag was obtained by heterologous expression of DOHH in Escherichia coli. Purified recombinant DOHH effectively catalyzed the hydroxylation of the intermediate, eIF5A-deoxyhypusine (eIF5A-Dhp), in vitro. L. donovani DOHH (LdDOHH) showed ~40.6% sequence identity with its human homolog. The alignment of L. donovani DOHH with the human homolog shows that there are two significant insertions in the former, corresponding to the alignment positions 159-162 (four amino acid residues) and 174-183 (ten amino acid residues) which are present in the variable loop connecting the N- and C-terminal halves of the protein, the latter being present near the substrate binding site. Deletion of the ten-amino-acid-long insertion decreased LdDOHH activity to 14% of the wild type recombinant LdDOHH. Metal chelators like ciclopirox olamine (CPX) and mimosine significantly inhibited the growth of L. donovani and DOHH activity in vitro. These inhibitors were more effective against the parasite enzyme than the human enzyme. This report, for the first time, confirms the presence of a complete hypusine pathway in a kinetoplastid unlike eubacteria and archaea. The structural differences between the L. donovani DOHH and the human homolog may be exploited for structure

  17. Difficult mask ventilation in obese patients: analysis of predictive factors.

    Science.gov (United States)

    Leoni, A; Arlati, S; Ghisi, D; Verwej, M; Lugani, D; Ghisi, P; Cappelleri, G; Cedrati, V; El Tantawi Ali Alsheraei, A; Pocar, M; Ceriani, V; Aldegheri, G

    2014-02-01

    This study aimed to determine the accuracy of commonly used preoperative difficult airway indices as predictors of difficult mask ventilation (DMV) in obese patients (BMI >30 kg/m2). In 309 consecutive obese patients undergoing general surgery, the modified Mallampati test, patient's Height/Thyromental distance ratio, Inter-Incisor Distance, Protruding Mandible (PM), history of Obstructive Sleep Apnea and Neck Circumference (NC) were recorded preoperatively. DMV was defined as Grade 3 mask ventilation (MV) by the Han's scale (MV inadequate, unstable or requiring two practitioners). Data are shown as means±SD or number and proportions. Independent DMV predictors were identified by multivariate analysis. The discriminating capacity of the model (ROC curve area) and adjusted weights for the risk factors (odds ratios) were also determined. BMI averaged 42.5±8.3 kg/m2. DMV was reported in 27 out of 309 patients (8.8%; 95%CI 5.6-11.9%). The multivariate analysis retained NC (OR 1.17; P2 associated factors as the best discriminating point for DMV. Obese patients show increased incidence of DMV with respect to the undifferentiated surgical population. Limited PM, Mallampati test and NC are important DMV predictors.

  18. Analysis of transfer reactions: determination of spectroscopic factors

    Energy Technology Data Exchange (ETDEWEB)

    Keeley, N. [CEA Saclay, Dept. d' Astrophysique, de Physique des Particules de Physique Nucleaire et de l' Instrumentation Associee (DSM/DAPNIA/SPhN), 91- Gif sur Yvette (France); The Andrzej So an Institute for Nuclear Studies, Dept. of Nuclear Reactions, Warsaw (Poland)

    2007-07-01

    An overview of the most popular models used for the analysis of direct reaction data is given, concentrating on practical aspects. The 4 following models (in order of increasing sophistication): the distorted wave born approximation (DWBA), the adiabatic model, the coupled channels born approximation, and the coupled reaction channels are briefly described. As a concrete example, the C{sup 12}(d,p)C{sup 13} reaction at an incident deuteron energy of 30 MeV is analysed with progressively more physically sophisticated models. The effect of the choice of the reaction model on the spectroscopic information extracted from the data is investigated and other sources of uncertainty in the derived spectroscopic factors are discussed. We have showed that the choice of the reaction model can significantly influence the nuclear structure information, particularly the spectroscopic factors or amplitudes but occasionally also the spin-parity, that we wish to extract from direct reaction data. We have also demonstrated that the DWBA can fail to give a satisfactory description of transfer data but when the tenets of the theory are fulfilled DWBA can work very well and will yield the same results as most sophisticated models. The use of global rather than fitted optical potentials can also lead to important differences in the extracted spectroscopic factors.

  19. Multivariate factor analysis of Girgentana goat milk composition

    Directory of Open Access Journals (Sweden)

    Pietro Giaccone

    2010-01-01

    Full Text Available The interpretation of the several variables that contribute to defining milk quality is difficult due to the high degree of  correlation among them. In this case, one of the best methods of statistical processing is factor analysis, which belongs  to the multivariate groups; for our study this particular statistical approach was employed.  A total of 1485 individual goat milk samples from 117 Girgentana goats, were collected fortnightly from January to July,  and analysed for physical and chemical composition, and clotting properties. Milk pH and tritable acidity were within the  normal range for fresh goat milk. Morning milk yield resulted 704 ± 323 g with 3.93 ± 1.23% and 3.48±0.38% for fat  and protein percentages, respectively. The milk urea content was 43.70 ± 8.28 mg/dl. The clotting ability of Girgentana  milk was quite good, with a renneting time equal to 16.96 ± 3.08 minutes, a rate of curd formation of 2.01 ± 1.63 min-  utes and a curd firmness of 25.08 ± 7.67 millimetres.  Factor analysis was performed by applying axis orthogonal rotation (rotation type VARIMAX; the analysis grouped the  milk components into three latent or common factors. The first, which explained 51.2% of the total covariance, was  defined as “slow milks”, because it was linked to r and pH. The second latent factor, which explained 36.2% of the total  covariance, was defined as “milk yield”, because it is positively correlated to the morning milk yield and to the urea con-  tent, whilst negatively correlated to the fat percentage. The third latent factor, which explained 12.6% of the total covari-  ance, was defined as “curd firmness,” because it is linked to protein percentage, a30 and titatrable acidity. With the aim  of evaluating the influence of environmental effects (stage of kidding, parity and type of kidding, factor scores were anal-  ysed with the mixed linear model. Results showed significant effects of the season of

  20. Morphometric analysis of molars in a Middle Pleistocene population shows a mosaic of 'modern' and Neanderthal features.

    Science.gov (United States)

    Martinón-Torres, María; Spěváčková, Petra; Gracia-Téllez, Ana; Martínez, Ignacio; Bruner, Emiliano; Arsuaga, Juan Luis; Bermúdez de Castro, José María

    2013-10-01

    Previous studies of upper first molar (M1) crown shape have shown significant differences between Homo sapiens and Homo neanderthalensis that were already present in the European Middle Pleistocene populations, including the large dental sample from Atapuerca-Sima de los Huesos (SH). Analysis of other M1 features such as the total crown base area, cusp proportions, cusp angles and occlusal polygon have confirmed the differences between both lineages, becoming a useful tool for the taxonomic assignment of isolated teeth from Late Pleistocene sites. However, until now the pattern of expression of these variables has not been known for the SH sample. This fossil sample, the largest collection from the European Middle Pleistocene, is generally interpreted as being from the direct ancestors of Neanderthals, and thus is a reference sample for assessing the origin of the Neanderthal morphologies. Surprisingly, our study reveals that SH M(1) s present a unique mosaic of H. neanderthalensis and H. sapiens features. Regarding the cusp angles and the relative occlusal polygon area, SH matches the H. neanderthalensis pattern. However, regarding the total crown base area and relative cusps size, SH M(1) s are similar to H. sapiens, with a small crown area, a strong hypocone reduction and a protocone enlargement, although the protocone expansion in SH is significantly larger than in any other group studied. The SH dental sample calls into question the uniqueness of some so-called modern traits. Our study also sounds a note of caution on the use of M(1) occlusal morphology for the alpha taxonomy of isolated M(1) s.

  1. Genetic analysis shows that morphology alone cannot distinguish asian carp eggs from those of other cyprinid species

    Science.gov (United States)

    Larson, James H.; McCalla, Sunnie; Chapman, Duane C.; Rees, Christopher B.; Knights, Brent C.; Vallazza, Jon; George, Amy E.; Richardson, William B.; Amberg, Jon

    2016-01-01

    Fish eggs and embryos (hereafter collectively referred to as “eggs”) were collected in the upper Mississippi River main stem (~300 km upstream of previously reported spawning by invasive Asian carp) during summer 2013. Based on previously published morphological characteristics, the eggs were identified as belonging to Asian carp. A subsample of the eggs was subsequently analyzed by using molecular methods to determine species identity. Genetic identification using the cytochrome-c oxidase 1 gene was attempted for a total of 41 eggs. Due to the preservation technique used (formalin) and the resulting DNA degradation, sequences were recovered from only 17 individual eggs. In all 17 cases, cyprinids other than Asian carp (usually Notropis sp.) were identified as the most likely species. In previously published reports, a key characteristic that distinguished Asian carp eggs from those of other cyprinids was size: Asian carp eggs exhibited diameters ranging from 4.0 to 6.0 mm and were thought to be much larger than the otherwise similar eggs of native species. Eggs from endemic cyprinids were believed to rarely reach 3.0 mm and had not been observed to exceed 3.3 mm. However, many of the eggs that were genetically identified as originating from native cyprinids were as large as 4.0 mm in diameter (at early developmental stages) and were therefore large enough to over- lap with the lower end of the size range observed for Asian carp eggs. Researchers studying the egg stages of Asian carp and other cyprinids should plan on preserving subsets of eggs for genetic analysis to confirm morphological identifications.

  2. Selection Indices and Multivariate Analysis Show Similar Results in the Evaluation of Growth and Carcass Traits in Beef Cattle.

    Directory of Open Access Journals (Sweden)

    Fernando Brito Lopes

    Full Text Available This research evaluated a multivariate approach as an alternative tool for the purpose of selection regarding expected progeny differences (EPDs. Data were fitted using a multi-trait model and consisted of growth traits (birth weight and weights at 120, 210, 365 and 450 days of age and carcass traits (longissimus muscle area (LMA, back-fat thickness (BF, and rump fat thickness (RF, registered over 21 years in extensive breeding systems of Polled Nellore cattle in Brazil. Multivariate analyses were performed using standardized (zero mean and unit variance EPDs. The k mean method revealed that the best fit of data occurred using three clusters (k = 3 (P < 0.001. Estimates of genetic correlation among growth and carcass traits and the estimates of heritability were moderate to high, suggesting that a correlated response approach is suitable for practical decision making. Estimates of correlation between selection indices and the multivariate index (LD1 were moderate to high, ranging from 0.48 to 0.97. This reveals that both types of indices give similar results and that the multivariate approach is reliable for the purpose of selection. The alternative tool seems very handy when economic weights are not available or in cases where more rapid identification of the best animals is desired. Interestingly, multivariate analysis allowed forecasting information based on the relationships among breeding values (EPDs. Also, it enabled fine discrimination, rapid data summarization after genetic evaluation, and permitted accounting for maternal ability and the genetic direct potential of the animals. In addition, we recommend the use of longissimus muscle area and subcutaneous fat thickness as selection criteria, to allow estimation of breeding values before the first mating season in order to accelerate the response to individual selection.

  3. Morphometric analysis of molars in a Middle Pleistocene population shows a mosaic of ‘modern’ and Neanderthal features

    Science.gov (United States)

    Martinón-Torres, María; Spěváčková, Petra; Gracia-Téllez, Ana; Martínez, Ignacio; Bruner, Emiliano; Arsuaga, Juan Luis; Bermúdez de Castro, José María

    2013-01-01

    Previous studies of upper first molar (M1) crown shape have shown significant differences between Homo sapiens and Homo neanderthalensis that were already present in the European Middle Pleistocene populations, including the large dental sample from Atapuerca-Sima de los Huesos (SH). Analysis of other M1 features such as the total crown base area, cusp proportions, cusp angles and occlusal polygon have confirmed the differences between both lineages, becoming a useful tool for the taxonomic assignment of isolated teeth from Late Pleistocene sites. However, until now the pattern of expression of these variables has not been known for the SH sample. This fossil sample, the largest collection from the European Middle Pleistocene, is generally interpreted as being from the direct ancestors of Neanderthals, and thus is a reference sample for assessing the origin of the Neanderthal morphologies. Surprisingly, our study reveals that SH M1s present a unique mosaic of H. neanderthalensis and H. sapiens features. Regarding the cusp angles and the relative occlusal polygon area, SH matches the H. neanderthalensis pattern. However, regarding the total crown base area and relative cusps size, SH M1s are similar to H. sapiens, with a small crown area, a strong hypocone reduction and a protocone enlargement, although the protocone expansion in SH is significantly larger than in any other group studied. The SH dental sample calls into question the uniqueness of some so-called modern traits. Our study also sounds a note of caution on the use of M1 occlusal morphology for the alpha taxonomy of isolated M1s. PMID:23914934

  4. Comparative genomic hybridization analysis shows different epidemiology of chromosomal and plasmid-borne cpe-carrying Clostridium perfringens type A.

    Directory of Open Access Journals (Sweden)

    Päivi Lahti

    Full Text Available Clostridium perfringens, one of the most common causes of food poisonings, can carry the enterotoxin gene, cpe, in its chromosome or on a plasmid. C. perfringens food poisonings are more frequently caused by the chromosomal cpe-carrying strains, while the plasmid-borne cpe-positive genotypes are more commonly found in the human feces and environmental samples. Different tolerance to food processing conditions by the plasmid-borne and chromosomal cpe-carrying strains has been reported, but the reservoirs and contamination routes of enterotoxin-producing C. perfringens remain unknown. A comparative genomic hybridization (CGH analysis with a DNA microarray based on three C. perfringens type A genomes was conducted to shed light on the epidemiology of C. perfringens food poisonings caused by plasmid-borne and chromosomal cpe-carrying strains by comparing chromosomal and plasmid-borne cpe-positive and cpe-negative C. perfringens isolates from human, animal, environmental, and food samples. The chromosomal and plasmid-borne cpe-positive C. perfringens genotypes formed two distinct clusters. Variable genes were involved with myo-inositol, ethanolamine and cellobiose metabolism, suggesting a new epidemiological model for C. perfringens food poisonings. The CGH results were complemented with growth studies, which demonstrated different myo-inositol, ethanolamine, and cellobiose metabolism between the chromosomal and plasmid-borne cpe-carrying strains. These findings support a ubiquitous occurrence of the plasmid-borne cpe-positive strains and their adaptation to the mammalian intestine, whereas the chromosomal cpe-positive strains appear to have a narrow niche in environments containing degrading plant material. Thus the epidemiology of the food poisonings caused by two populations appears different, the plasmid-borne cpe-positive strains probably contaminating foods via humans and the chromosomal strains being connected to plant material.

  5. An actuarial analysis shows that offering lung cancer screening as an insurance benefit would save lives at relatively low cost.

    Science.gov (United States)

    Pyenson, Bruce S; Sander, Marcia S; Jiang, Yiding; Kahn, Howard; Mulshine, James L

    2012-04-01

    Lung cancer screening is not established as a public health practice, yet the results of a recent large randomized controlled trial showed that screening with low-dose spiral computed tomography reduces lung cancer mortality. Using actuarial models, this study estimated the costs and benefits of annual lung cancer screening offered as a commercial insurance benefit in the high-risk US population ages 50-64. Assuming current commercial reimbursement rates for treatment, we found that screening would cost about $1 per insured member per month in 2012 dollars. The cost per life-year saved would be below $19,000, an amount that compares favorably with screening for cervical, breast, and colorectal cancers. Our results suggest that commercial insurers should consider lung cancer screening of high-risk individuals to be high-value coverage and provide it as a benefit to people who are at least fifty years old and have a smoking history of thirty pack-years or more. We also believe that payers and patients should demand screening from high-quality, low-cost providers, thus helping set an example of efficient system innovation.

  6. X-ray survival characteristics and genetic analysis for nine saccharomyces deletion mutants that show altered radiation sensitivity

    Energy Technology Data Exchange (ETDEWEB)

    Game, John C.; Williamson, Marsha S.; Baccari, Clelia

    2004-01-07

    The availability of a genome-wide set of Saccharomyces deletion mutants provides a chance to identify all the yeast genes involved in DNA repair. Using X-rays, we are screening these mutants to identify additional genes that show increased sensitivity to the lethal effects of ionizing radiation. For each mutant identified as sensitive, we are confirming that the sensitivity phenotype co-segregates with the deletion allele and are obtaining multipoint survival-versus-dose assays in at least two haploid and one homozygous diploid strains. We present data for deletion mutants involving the genes DOT1, MDM20, NAT3, SPT7, SPT20, GCN5, HFI1, DCC1 and VID21/EAF1, and discuss their potential roles in repair. Eight of these genes have a clear radiation-sensitive phenotype when deleted, but the ninth, GCN5, has at most a borderline phenotype. None of the deletions confer substantial sensitivity to ultra-violet radiation, although one or two may confer marginal sensitivity. The DOT1 gene is of interest because its only known function is to methylate one lysine residue in the core of the histone H3 protein. We find that histone H3 mutants (supplied by K. Struhl) in which this residue is replaced by other amino-acids are also X-ray sensitive, seeming to confirm that methylation of the lysine-79 residue is required for effective repair of radiation damage.

  7. Comprehensive behavioral analysis of Ox1r-/- mice showed implication of orexin receptor-1 in mood, anxiety and social behavior

    Directory of Open Access Journals (Sweden)

    Md Golam Abbas

    2015-12-01

    Full Text Available Neuropeptides orexin A and orexin B, which are exclusively produced by neurons in the lateral hypothalamic area, play an important role in the regulation of a wide range of behaviors and homeostatic processes, including regulation of sleep/wakefulness states and energy homeostasis. The orexin system has close anatomical and functional relationships with systems that regulate the autonomic nervous system, emotion, mood, the reward system and sleep/wakefulness states. Recent pharmacological studies using selective antagonists have suggested that orexin receptor-1 (OX1R is involved in physiological processes that regulate emotion, the reward system and autonomic nervous system. Here, we examined Ox1r-/- mice with a comprehensive behavioral test battery to screen additional OX1R functions. Ox1r-/- mice showed increased anxiety-like behavior, altered depression-like behavior, slightly decreased spontaneous locomotor activity, reduced social interaction, increased startle response and decreased prepulse inhibition. These results suggest that OX1R plays roles in social behaviour and sensory motor gating in addition to roles in mood and anxiety.

  8. ANALYSIS OF RISK FACTORS ECTOPIC PREGNANCY

    Directory of Open Access Journals (Sweden)

    Budi Santoso

    2017-04-01

    Full Text Available Introduction: Ectopic pregnancy is a pregnancy with extrauterine implantation. This situation is gynecologic emergency that contributes to maternal mortality. Therefore, early recognition, based on identification of the causes of ectopic pregnancy risk factors, is needed. Methods: The design descriptive observational. The samples were pregnant women who had ectopic pregnancy at Maternity Room, Emergency Unit, Dr. Soetomo Hospital, Surabaya, from 1 July 2008 to 1 July 2010. Sampling technique was total sampling using medical records. Result: Patients with ectopic pregnancy were 99 individuals out of 2090 pregnant women who searched for treatment in Dr. Soetomo Hospital. However, only 29 patients were accompanied with traceable risk factors. Discussion:. Most ectopic pregnancies were in the age group of 26-30 years, comprising 32 patients (32.32%, then in age groups of 31–35 years as many as 25 patients (25.25%, 18 patients in age group 21–25 years (18.18%, 17 patients in age group 36–40 years (17.17%, 4 patients in age group 41 years and more (4.04%, and the least was in age group of 16–20 years with 3 patients (3.03%. A total of 12 patients with ectopic pregnancy (41.38% had experience of abortion and 6 patients (20.69% each in groups of patients with ectopic pregnancy who used family planning, in those who used family planning as well as ectopic pregnancy patients with history of surgery. There were 2 patients (6.90% of the group of patients ectopic pregnancy who had history of surgery and history of abortion. The incidence rate of ectopic pregnancy was 4.73%, mostly in the second gravidity (34.34%, whereas the nulliparous have the highest prevalence of 39.39%. Acquired risk factors, i.e. history of operations was 10.34%, patients with family planning 20.69%, patients with history of abortion 41.38%, patients with history of abortion and operation 6.90% patients with family and history of abortion was 20.69%.

  9. Transcriptome analysis of Enterococcus faecalis during mammalian infection shows cells undergo adaptation and exist in a stringent response state.

    Directory of Open Access Journals (Sweden)

    Kristi L Frank

    Full Text Available As both a commensal and a major cause of healthcare-associated infections in humans, Enterococcus faecalis is a remarkably adaptable organism. We investigated how E. faecalis adapts in a mammalian host as a pathogen by characterizing changes in the transcriptome during infection in a rabbit model of subdermal abscess formation using transcriptional microarrays. The microarray experiments detected 222 and 291 differentially regulated genes in E. faecalis OG1RF at two and eight hours after subdermal chamber inoculation, respectively. The profile of significantly regulated genes at two hours post-inoculation included genes involved in stress response, metabolism, nutrient acquisition, and cell surface components, suggesting genome-wide adaptation to growth in an altered environment. At eight hours post-inoculation, 88% of the differentially expressed genes were down-regulated and matched a transcriptional profile consistent with a (pppGpp-mediated stringent response. Subsequent subdermal abscess infections with E. faecalis mutants lacking the (pppGpp synthetase/hydrolase RSH, the small synthetase RelQ, or both enzymes, suggest that intracellular (pppGpp levels, but not stringent response activation, influence persistence in the model. The ability of cells to synthesize (pppGpp was also found to be important for growth in human serum and whole blood. The data presented in this report provide the first genome-wide insights on E. faecalis in vivo gene expression and regulation measured by transcriptional profiling during infection in a mammalian host and show that (pppGpp levels affect viability of E. faecalis in multiple conditions relevant to mammalian infection. The subdermal abscess model can serve as a novel experimental system for studying the E. faecalis stringent response in the context of the mammalian immune system.

  10. Factors affecting the concentrations of heavy metals in precipitation of Tehran using factor analysis method

    Directory of Open Access Journals (Sweden)

    H Kamani

    2016-03-01

    Full Text Available Backgrounds and Objectives: Quantity of trace metals in the wet precipitation can illustrate the environmental pollution of different urban areas. Up to now, there is no study regarding the chemistry of wet precipitation in Tehran .The objectives of this study are: measurement of heavy metal concentrations and identification of the main factors affecting the heavy metal concentrations in wet precipitation using factor analysis method. Materials and Methods: This was a cross-sectional study in which measurements of heavy metals were performed in 53 wet precipitation samples collected from a central site of Tehran City, capital of Iran. The samples were collected during November to May in 2010, 2011 and 2012 on the roof of the student’s dormitory building of Tehran University of Medical Sciences and then the concentration of heavy metals in each sample was measured with ICP-MS. Results: pH ranged from 4.2 to 7.1 with a mean value of 5.1 indicating in acidic range. Result of EF calculations revealed that samples were not enriched with Fe and Cr but were enriched with Zn, Cd, Ni, Pb and Cu. Factor Component Analysis with Varimax normalized rotation showed Al, Fe and Cr are originated from crustal source and Zn, Cd, Ni, Pb and Cu are originated from anthropogenic sources.  Conclusion: EF and acidic pH values indicate Tehran is under the influence of extremely anthropogenic activities. Large number of vehicles and industrial activity in the city are undoubtedly responsible for the emission of a wide range of pollution.

  11. Molecular analysis of a case of nevus of ota showing progressive evolution to melanoma with intermediate stages resembling cellular blue nevus.

    Science.gov (United States)

    Gerami, Pedram; Pouryazdanparast, Pedram; Vemula, Swapna; Bastian, Boris C

    2010-05-01

    Nevus of Ota is a variant of congenital nevus, which is morphologically paucicellular and resembles a common blue nevus. Although nevus of Ota is a risk factor for uveal melanoma in white people, the development of cutaneous melanoma within nevus of Ota is a very rare occurrence with only a few reported cases. We present a case of a long-standing nevus of Ota, with radiologic imaging demonstrating a large retro-orbital mass and a biopsy showing melanoma. The histopathology of the eye exenteration specimen illustrated various stages of melanocytic progression including areas resembling a nevus of Ota, blue nevus, cellular blue nevus, and melanoma. There was heterogeneity in the overtly malignant sections with some areas displaying expansile nodules of blander appearing spindled cells, whereas other areas were composed of epithelioid cells with higher mitotic counts and zones of necrosis. The extensive lesion also infiltrated the soft tissue and bone. We performed gene mutation analysis for GNAQ, BRAF, NRAS, and KIT and fluorescence in situ hybridization (FISH) targeting commonly altered chromosomal loci in melanoma and comparative genomic hybridization (CGH). Copy number changes typical of melanoma were identified by both FISH and CGH in the morphologically malignant areas illustrating the relationship of tumor progression and the progressive acquisition of genetic aberrations.

  12. Multivariate Analysis of Clinical Factors in Restenosis after Coronary Stenting

    Institute of Scientific and Technical Information of China (English)

    Wen Shangyu; Mao Jieming; Guo Liiun; Zhao Yiming; Zhang Fuchun; Guo Jingxlan; Cheng Mingzhe

    2000-01-01

    Ojbective To find the independent predictors for restenosis after coronary stenting.Methods Quantitative angiography was performed on 60 cases (67 successfully dilated lesions) after angioplasty over 6-months follow-up, and both univariate and multivariate logistic regression analysis were done to identify the correlations of restenosis with clinical factors. Results The total restenosis rate was 31.3%(21 of 67 lesions), and according to univariate analysis the patients who underwent coronary stenting ≥3.5mm had a lower rate of restenosis ( P < 0. 01).Collateral circulation to the obstruction site, high maximal inflation pressure, smoking and the less minimal lumen diameter after PTCA made the rate of restenosis higherower ( P < 0.05) . Multivariate logistic regression analysis showed that coronary stenting ≥ 3.5mm had a low rate of restenosis, but high maximal inflation pressure and smoking made the restenosis rate higher. Conclusion Coronary stent size, maximal inflation pressure and. smoking were independent predictors for restenosis.

  13. Exploratory Factor Analysis as a Construct Validation Tool: (Mis)applications in Applied Linguistics Research

    Science.gov (United States)

    Karami, Hossein

    2015-01-01

    Factor analysis has been frequently exploited in applied research to provide evidence about the underlying factors in various measurement instruments. A close inspection of a large number of studies published in leading applied linguistic journals shows that there is a misconception among applied linguists as to the relative merits of exploratory…

  14. Factor Structure Analysis of the Schutte Self-Report Emotional Intelligence Scale on International Students

    Science.gov (United States)

    Ng, Kok-Mun; Wang, Chuang; Kim, Do-Hong; Bodenhorn, Nancy

    2010-01-01

    The authors investigated the factor structure of the Schutte Self-Report Emotional Intelligence (SSREI) scale on international students. Via confirmatory factor analysis, the authors tested the fit of the models reported by Schutte et al. and five other studies to data from 640 international students in the United States. Results show that…

  15. Analysis of Socio-Economic Factors Influencing Farmers' Adoption ...

    African Journals Online (AJOL)

    Analysis of Socio-Economic Factors Influencing Farmers' Adoption of Rice ... Farming experience, household size, farm size and extension contact ... gender, market availability, education, extension contact, labour availability and farm size.

  16. Exploring Technostress: Results of a Large Sample Factor Analysis

    Directory of Open Access Journals (Sweden)

    Steponas Jonušauskas

    2016-06-01

    Full Text Available With reference to the results of a large sample factor analysis, the article aims to propose the frame examining technostress in a population. The survey and principal component analysis of the sample consisting of 1013 individuals who use ICT in their everyday work was implemented in the research. 13 factors combine 68 questions and explain 59.13 per cent of the answers dispersion. Based on the factor analysis, questionnaire was reframed and prepared to reasonably analyze the respondents’ answers, revealing technostress causes and consequences as well as technostress prevalence in the population in a statistically validated pattern. A key elements of technostress based on factor analysis can serve for the construction of technostress measurement scales in further research.

  17. Risk Factor Analysis for Oral Precancer among Slum Dwellers in ...

    African Journals Online (AJOL)

    Rajasthan Dental College, Jaipur, Rajasthan, 1Dental Wing, All India Institute of Medical Sciences (AIIMS), Bhopal,. 4Department of Public ... Keywords: Oral cancer, Risk factor analysis, Slum dwellers. Access this .... hygiene aid used in India.

  18. Text mining factor analysis (TFA) in green tea patent data

    Science.gov (United States)

    Rahmawati, Sela; Suprijadi, Jadi; Zulhanif

    2017-03-01

    Factor analysis has become one of the most widely used multivariate statistical procedures in applied research endeavors across a multitude of domains. There are two main types of analyses based on factor analysis: Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA). Both EFA and CFA aim to observed relationships among a group of indicators with a latent variable, but they differ fundamentally, a priori and restrictions made to the factor model. This method will be applied to patent data technology sector green tea to determine the development technology of green tea in the world. Patent analysis is useful in identifying the future technological trends in a specific field of technology. Database patent are obtained from agency European Patent Organization (EPO). In this paper, CFA model will be applied to the nominal data, which obtain from the presence absence matrix. While doing processing, analysis CFA for nominal data analysis was based on Tetrachoric matrix. Meanwhile, EFA model will be applied on a title from sector technology dominant. Title will be pre-processing first using text mining analysis.

  19. The Pain Behaviour Checklist: factor analysis and validation.

    Science.gov (United States)

    Anciano, D

    1986-11-01

    A factor analysis was performed on Philips & Hunter's (1981) Pain Behaviour Checklist for headache sufferers. Three intuitively meaningful factors emerged. All were similarly associated with overall intensity; pain severity does not determine type of pain behaviour. Differences in pain behaviour emerged between migraine and tension headache groups.

  20. Determining Dimensionality of Exercise Readiness Using Exploratory Factor Analysis

    Directory of Open Access Journals (Sweden)

    Kelley Strohacker, Rebecca A. Zakrajsek

    2016-06-01

    Full Text Available Assessment of “exercise readiness” is a central component to the flexible non-linear periodization (FNLP method of organizing training workloads, but the underlying factor structure of this construct has not been empirically determined. The purpose of this study was to assess construct dimensionality of exercise readiness using exploratory factor analysis. The result of which serve as initial steps of developing a brief measure of exercise readiness. Participants consisted of students recruited from undergraduate Kinesiology courses at a racially diverse, southern University. Independent, anonymous online survey data were collected across three stages: 1 generation of item pool (n = 290, 2 assessment of face validity and refinement of item pool (n = 168, and 3 exploratory factor analysis (n = 684. A principal axis factor analysis was conducted with 41 items using oblique rotation (promax. Four statistically significant factors, as determined through parallel analysis, explained 61.5% of the variance in exercise readiness. Factor 1 contained items that represented vitality (e.g., lively, revived. Factor 2 items related to physical fatigue (e.g. tired, drained. Factors 3 and 4 were descriptive of, discomfort (e.g. pain, sick and health (i.e. healthy, fit, respectively. This inductive approach indicates that exercise readiness is comprised of four dimensions: vitality, physical fatigue, discomfort, and health. This finding supports readiness assessment techniques currently recommended for practitioners according to the FNLP model. These results serve as a theoretical foundation upon which to further develop and refine a brief survey instrument to measure exercise readiness.

  1. 48 CFR 2115.404-71 - Profit analysis factors.

    Science.gov (United States)

    2010-10-01

    ... account in assigning a plus weight. (5) Cost control. This factor is based on the Contractor's previously... TYPES CONTRACTING BY NEGOTIATION Contract Pricing 2115.404-71 Profit analysis factors. (a) The OPM... receive a plus weight, and poor performance or failure to comply with contract terms and conditions a zero...

  2. Analysis on Family Factor in Construction of New Socialist Countryside

    Institute of Scientific and Technical Information of China (English)

    2012-01-01

    This paper analyzes the family factor in the construction of new socialist countryside. It is believed that the family plays both the positive role and negative role in new socialist countryside construction. Based on this analysis,it puts forward corresponding countermeasures,including bringing into play the effect of family in promoting production and carrying forward excellent factors of family culture.

  3. Exploratory Tobit factor analysis for multivariate censored data

    NARCIS (Netherlands)

    Kamakura, WA; Wedel, M

    2001-01-01

    We propose Multivariate Tobit models with a factor structure on the covariance matrix. Such models are particularly useful in the exploratory analysis of multivariate censored data and the identification of latent variables from behavioral data. The factor structure provides a parsimonious

  4. Connectivism in Postsecondary Online Courses: An Exploratory Factor Analysis

    Science.gov (United States)

    Hogg, Nanette; Lomicky, Carol S.

    2012-01-01

    This study explores 465 postsecondary students' experiences in online classes through the lens of connectivism. Downes' 4 properties of connectivism (diversity, autonomy, interactivity, and openness) were used as the study design. An exploratory factor analysis was performed. This study found a 4-factor solution. Subjects indicated that autonomy…

  5. Confirmatory Factor Analysis of the Career Factors Inventory on a Community College Sample

    Science.gov (United States)

    Simon, Merril A.; Tovar, Esau

    2004-01-01

    A confirmatory factor analysis was conducted using AMOS 4.0 to validate the 21-item Career Factors Inventory on a community college student sample. The multidimensional inventory assesses types and levels of career indecision antecedents. The sample consisted of 512 ethnically diverse freshmen students; 46% were men and 54% were women.…

  6. Caregiving and Developmental Factors Differentiating Young At-Risk Urban Children Showing Resilient Versus Stress-Affected Outcomes: A Replication and Extension.

    Science.gov (United States)

    Wyman, Peter A.; And Others

    1999-01-01

    Tested hypotheses from an organizational-developmental model for childhood resilience among 7- to 9-year olds. Found that caregiving factors and early development differentiated children with resilient and stress-affected adaptations. Variables reflecting emotionally responsive, competent parenting were direct, proximal predictors of resilience…

  7. Analysis of related factors affecting prognosis of shunt surgery in patients with secondary normal pressure hydrocephalus

    Institute of Scientific and Technical Information of China (English)

    WANG Cheng; DU Hang-gen; YIN Li-chun; HE Min; ZHANG Guo-jun; TIAN Yong; HAO Bi-lie

    2013-01-01

    Objective:The management of secondary normal pressure hydrocephalus (sNPH) is controversial.Many factors may affect the surgery effect.The purpose of this study was to identify the possible factors influencing prognosis and provide theoretical basis for clinical treatment of sNPH.Methods:A retrospective study was carried out to investigate the results of 31 patients with sNPH who underwent ventriculoperitoneal shunt surgery from January 2007 to December 2011.We processed the potential influencing factors by univariate analysis and the result further by multivariate logistic regression analysis.Results:Factors including age,disease duration and Glasgow coma scale (GCS) score before surgery significantly influenced the prognosis of sNPH (P<0.05).Further logistic regression analysis showed that all the three factors are independent influencing factors.Conclusion:Age,disease duration and GCS score before surgery have positive predictive value in estimating favorable response to surgical treatment for sNPH.

  8. A rapid quantitative activity assay shows that the Vibrio cholerae colonization factor GbpA is an active lytic polysaccharide monooxygenase

    NARCIS (Netherlands)

    Loose, Jennifer S. M.; Forsberg, Zarah; Fraaije, Marco W.; Eijsink, Vincent G. H.; Vaaje-Kolstad, Gustav

    2014-01-01

    The discovery of the copper-dependent lytic polysaccharide monooxygenases (LPMOs) has revealed new territory for chemical and biochemical analysis. These unique mononuclear copper enzymes are abundant, suggesting functional diversity beyond their established roles in the depolymerization of biomass

  9. A rapid quantitative activity assay shows that the Vibrio cholerae colonization factor GbpA is an active lytic polysaccharide monooxygenase

    NARCIS (Netherlands)

    Loose, Jennifer S. M.; Forsberg, Zarah; Fraaije, Marco W.; Eijsink, Vincent G. H.; Vaaje-Kolstad, Gustav

    2014-01-01

    The discovery of the copper-dependent lytic polysaccharide monooxygenases (LPMOs) has revealed new territory for chemical and biochemical analysis. These unique mononuclear copper enzymes are abundant, suggesting functional diversity beyond their established roles in the depolymerization of biomass

  10. Conditioning Analysis of Incomplete Cholesky Factorizations with Orthogonal Dropping

    Energy Technology Data Exchange (ETDEWEB)

    Napov, Artem [Free Univ. of Brussels (Belgium)

    2013-08-01

    The analysis of preconditioners based on incomplete Cholesky factorization in which the neglected (dropped) components are orthogonal to the approximations being kept is presented. General estimate for the condition number of the preconditioned system is given which only depends on the accuracy of individual approximations. The estimate is further improved if, for instance, only the newly computed rows of the factor are modified during each approximation step. In this latter case it is further shown to be sharp. The analysis is illustrated with some existing factorizations in the context of discretized elliptic partial differential equations.

  11. Conditioning Analysis of Incomplete Cholesky Factorizations with Orthogonal Dropping

    Energy Technology Data Exchange (ETDEWEB)

    Napov, Artem [Free Univ. of Brussels (Belgium)

    2013-08-01

    The analysis of preconditioners based on incomplete Cholesky factorization in which the neglected (dropped) components are orthogonal to the approximations being kept is presented. General estimate for the condition number of the preconditioned system is given which only depends on the accuracy of individual approximations. The estimate is further improved if, for instance, only the newly computed rows of the factor are modified during each approximation step. In this latter case it is further shown to be sharp. The analysis is illustrated with some existing factorizations in the context of discretized elliptic partial differential equations.

  12. Confirmatory factor analysis of the Multidimensional Inventory of Perfectionism in Sport

    OpenAIRE

    Madigan, Daniel J.

    2016-01-01

    Objectives and Method: The Multidimensional Inventory of Perfectionism in Sport (MIPS; Stoeber, Otto, & Stoll, 2006) is a commonly used measure of perfectionism in sport. However, there is limited empirical evidence supporting its subscale structure and composition. Therefore, the present study investigated the factor structure of the MIPS in a sample of 470 athletes (mean age 20.0 years).\\ud \\ud Results: Confirmatory factor analysis showed that the data supported the hypothesized four-factor...

  13. Dynamic factor analysis for estimating ground water arsenic trends.

    Science.gov (United States)

    Kuo, Yi-Ming; Chang, Fi-John

    2010-01-01

    Drinking ground water containing high arsenic (As) concentrations has been associated with blackfoot disease and the occurrence of cancer along the southwestern coast of Taiwan. As a result, 28 ground water observation wells were installed to monitor the ground water quality in this area. Dynamic factor analysis (DFA) is used to identify common trends that represent unexplained variability in ground water As concentrations of decommissioned wells and to investigate whether explanatory variables (total organic carbon [TOC], As, alkalinity, ground water elevation, and rainfall) affect the temporal variation in ground water As concentration. The results of the DFA show that rainfall dilutes As concentration in areas under aquacultural and agricultural use. Different combinations of geochemical variables (As, alkalinity, and TOC) of nearby monitoring wells affected the As concentrations of the most decommissioned wells. Model performance was acceptable for 11 wells (coefficient of efficiency >0.50), which represents 52% (11/21) of the decommissioned wells. Based on DFA results, we infer that surface water recharge may be effective for diluting the As concentration, especially in the areas that are relatively far from the coastline. We demonstrate that DFA can effectively identify the important factors and common effects representing unexplained variability common to decommissioned wells on As variation in ground water and extrapolate information from existing monitoring wells to the nearby decommissioned wells.

  14. Factor Analysis of the Brazilian Version of UPPS Impulsive Behavior Scale

    Directory of Open Access Journals (Sweden)

    Leandro F. Malloy-Diniz

    2017-04-01

    Full Text Available Objective: To examine the internal consistency and factor structure of the Brazilian adaptation of the UPPS Impulsive Behavior Scale.Methods: UPPS is a self-report scale composed by 40 items assessing four factors of impulsivity: (a urgency, (b lack of premeditation; (c lack of perseverance; (d sensation seeking. In the present study 384 participants (278 women and 106 men, who were recruited from schools, universities, leisure centers and workplaces fulfilled the UPPS scale. An exploratory factor analysis was performed by using Varimax factor rotation and Kaiser Normalization, and we also conducted two confirmatory analyses to test the independency of the UPPS components found in previous analysis.Results: Results showed a decrease in mean UPPS total scores with age and this analysis showed that the youngest participants (below 30 years scored significantly higher than the other groups over 30 years. No difference in gender was found. Cronbach’s alpha, results indicated satisfactory values for all subscales, with similar high values for the subscales and confirmatory factor analysis indexes also indicated a poor model fit. The results of two exploratory factor analysis were satisfactory.Conclusion: Our results showed that the Portuguese version has the same four-factor structure of the original and previous translations of the UPPS.

  15. Risk Factors Analysis on Traumatic Brain Injury Prognosis

    Institute of Scientific and Technical Information of China (English)

    Xiao-dong Qu; Resha Shrestha; Mao-de Wang

    2011-01-01

    To investigate the independent risk factors of traumatic brain injury (TBI) prognosis.Methods A retrospective analysis was performed in 885 hospitalized TEl patients from January 1,2003 to January 1, 2010 in the First Affiliated Hospital of Medical College of Xi' an Jiaotong University. Single-factor and logistic regression analysis were conducted to evaluate the association of different variables with TBI outcome.Results The single-factor analysis revealed significant association between several variables and TEl outcome, including age (P=0.044 for the age group 40-60, P<0.001 for the age group ≥60), complications (P<0.001), cerebrospinal fluid leakage (P<0.001), Glasgow Coma Scale (GCS) (P<0.001), pupillary light reflex (P<0.001), shock (P<0.001), associated extra-cranial lesions (P=0.01), subdural hematoma (P<0.001), cerebral contusion (P<0.001), diffuse axonal injury (P<0.001), and subarachnoid hemorrhage (P<0.001), suggesting the influence of those factors on the prognosis of TBI. Furthermore, logistic regression analysis identified age, GCS score, pupillary light reflex, subdural hematoma, and subarachnoid hemorrhage as independent risk factors of TEl prognosis.Conclusion Age, GCS score, papillary light reflex, subdural hematoma, and subarachnoid hemorrhage may be risk factors influencing the prognosis of TEl. Paying attention to those factors might improve the outcome of TBI in clinical treatment.

  16. Analysis on total factor productivity of Chinese provincial economy

    Institute of Scientific and Technical Information of China (English)

    GUO Qingwang; ZHAO Zhiyun; JIA Junxue

    2006-01-01

    This paper applies the nonparametric DEA-Malmquist index approach to estimate total factor productivity growth,efficiency change and the rate of technological progress from 1979 to 2003.This is done to conduct analysis on the total factor productivity of China's provincial economy.Analysis on the evolution of distribution dynamics of relative labor productivity,relative total factor productivity,relative efficiency and relative technological progress is done by using kernel density estimation flor the period from 1979 to 2003 in 29 provinces of China.Our analysis indicates that disparities of provincial economic growth are large and have been increasing owing to the relatively large and increasing disparities of total factor productivity growth especially the rate of technological progress.

  17. Environmental Performance in Countries Worldwide: Determinant Factors and Multivariate Analysis

    Directory of Open Access Journals (Sweden)

    Isabel Gallego-Alvarez

    2014-11-01

    Full Text Available The aim of this study is to analyze the environmental performance of countries and the variables that can influence it. At the same time, we performed a multivariate analysis using the HJ-biplot, an exploratory method that looks for hidden patterns in the data, obtained from the usual singular value decomposition (SVD of the data matrix, to contextualize the countries grouped by geographical areas and the variables relating to environmental indicators included in the environmental performance index. The sample used comprises 149 countries of different geographic areas. The findings obtained from the empirical analysis emphasize that socioeconomic factors, such as economic wealth and education, as well as institutional factors represented by the style of public administration, in particular control of corruption, are determinant factors of environmental performance in the countries analyzed. In contrast, no effect on environmental performance was found for factors relating to the internal characteristics of a country or political factors.

  18. Determining Dimensionality of Exercise Readiness Using Exploratory Factor Analysis.

    Science.gov (United States)

    Strohacker, Kelley; Zakrajsek, Rebecca A

    2016-06-01

    Assessment of "exercise readiness" is a central component to the flexible non-linear periodization (FNLP) method of organizing training workloads, but the underlying factor structure of this construct has not been empirically determined. The purpose of this study was to assess construct dimensionality of exercise readiness using exploratory factor analysis. The result of which serve as initial steps of developing a brief measure of exercise readiness. Participants consisted of students recruited from undergraduate Kinesiology courses at a racially diverse, southern University. Independent, anonymous online survey data were collected across three stages: 1) generation of item pool (n = 290), 2) assessment of face validity and refinement of item pool (n = 168), and 3) exploratory factor analysis (n = 684). A principal axis factor analysis was conducted with 41 items using oblique rotation (promax). Four statistically significant factors, as determined through parallel analysis, explained 61.5% of the variance in exercise readiness. Factor 1 contained items that represented vitality (e.g., lively, revived). Factor 2 items related to physical fatigue (e.g. tired, drained). Factors 3 and 4 were descriptive of, discomfort (e.g. pain, sick) and health (i.e. healthy, fit), respectively. This inductive approach indicates that exercise readiness is comprised of four dimensions: vitality, physical fatigue, discomfort, and health. This finding supports readiness assessment techniques currently recommended for practitioners according to the FNLP model. These results serve as a theoretical foundation upon which to further develop and refine a brief survey instrument to measure exercise readiness. Key pointsAssessment of exercise readiness is a key component in implementing an exercise program based on flexible nonlinear periodization, but the dimensionality of this concept has not been empirically determined.Based on a series of surveys and a robust exploratory factor analysis

  19. Analysis of effect factors-based stochastic network planning model

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    Looking at all the indeterminate factors as a whole and regarding activity durations as independent random variables,the traditional stochastic network planning models ignore the inevitable relationship and dependence among activity durations when more than one activity is possibly affected by the same indeterminate factors.On this basis of analysis of indeterminate effect factors of durations,the effect factors-based stochastic network planning (EFBSNP) model is proposed,which emphasizes on the effects of not only logistic and organizational relationships,but also the dependent relationships,due to indeterminate factors among activity durations on the project period.By virtue of indeterminate factor analysis the model extracts and describes the quantitatively indeterminate effect factors,and then takes into account the indeterminate factors effect schedule by using the Monte Carlo simulation technique.The method is flexible enough to deal with effect factors and is coincident with practice.A software has been developed to simplify the model-based calculation,in VisualStudio.NET language.Finally,a case study is included to demonstrate the applicability of the proposed model and comparison is made with some advantages over the existing models.

  20. Hypersensitivity reactions to fluoroquinolones: analysis of the factors involved.

    Science.gov (United States)

    Blanca-López, N; Ariza, A; Doña, I; Mayorga, C; Montañez, M I; Garcia-Campos, J; Gomez, F; Rondón, C; Blanca, M; Torres, M J

    2013-05-01

    Hypersensitivity reactions to fluoroquinolones seem to be on the increase, especially immediate type reactions. The aim of this study was to determine whether several conditions, including gender, age, type of reaction, time interval between the reaction and the study, type of symptoms, the specific fluoroquinolone involved in the reaction and previous confirmed hypersensitivity to betalactams or to other drugs were factors contributing to the development of hypersensitivity to fluoroquinolones. We analysed retrospectively all patients attending our allergy department between January 2005 and December 2010 because of a reaction associated with fluoroquinolone administration. The diagnosis was confirmed by basophil activation test or drug provocation tests. In accordance with the results, patients were then classified as having hypersensitivity or non-hypersensitivity to fluoroquinolones. A group of 218 patients was evaluated; 69 were confirmed as having hypersensitivity, 146 as non-hypersensitivity and 3 were excluded. Comparisons between groups showed that the allergic patients more often had a previous confirmed hypersensitivity to betalactams (P = 0.029), immediate reactions (P = 0.001) and anaphylaxis (P = 0.000), and moxifloxacin was the fluoroquinolone most frequently involved (P = 0.027). The logistic regression analysis showed three factors associated with the diagnosis of hypersensitivity reactions to fluoroquinolones: previous hypersensitivity to betalactams (OR: 4.571; 95% CI: 0.987-21.171; adjusted OR: 23.654; 95% CI: 1.529-365.853), immediate reactions (OR: 17.333; 95% CI: 4.374-68.691; adjusted OR: 52.493; 95% CI: 6.621-416.200) and reactions induced by moxifloxacin (OR: 3.091; 95% CI: 1.160-8.239; adjusted OR: 13.610; 95% CI: 2.419-76.565). In patients who develop reactions to fluoroquinolones, hypersensitivity is more often confirmed in those with immediate reactions and when moxifloxacin is involved. Moreover, patients with hypersensitivity to

  1. Factors influencing crime rates: an econometric analysis approach

    Science.gov (United States)

    Bothos, John M. A.; Thomopoulos, Stelios C. A.

    2016-05-01

    The scope of the present study is to research the dynamics that determine the commission of crimes in the US society. Our study is part of a model we are developing to understand urban crime dynamics and to enhance citizens' "perception of security" in large urban environments. The main targets of our research are to highlight dependence of crime rates on certain social and economic factors and basic elements of state anticrime policies. In conducting our research, we use as guides previous relevant studies on crime dependence, that have been performed with similar quantitative analyses in mind, regarding the dependence of crime on certain social and economic factors using statistics and econometric modelling. Our first approach consists of conceptual state space dynamic cross-sectional econometric models that incorporate a feedback loop that describes crime as a feedback process. In order to define dynamically the model variables, we use statistical analysis on crime records and on records about social and economic conditions and policing characteristics (like police force and policing results - crime arrests), to determine their influence as independent variables on crime, as the dependent variable of our model. The econometric models we apply in this first approach are an exponential log linear model and a logit model. In a second approach, we try to study the evolvement of violent crime through time in the US, independently as an autonomous social phenomenon, using autoregressive and moving average time-series econometric models. Our findings show that there are certain social and economic characteristics that affect the formation of crime rates in the US, either positively or negatively. Furthermore, the results of our time-series econometric modelling show that violent crime, viewed solely and independently as a social phenomenon, correlates with previous years crime rates and depends on the social and economic environment's conditions during previous years.

  2. Identification of noise in linear data sets by factor analysis

    Energy Technology Data Exchange (ETDEWEB)

    Roscoe, B.A.; Hopke, P.K.

    1981-01-01

    The approach to classical factor analysis described in this paper, i.e. doing the analysis for varying numbers of factors without prior assumptions to the number of factors, prevents one from getting eroneous results by inherent computer code assumptions. Identification of a factor containing most of the variance of one variable with little variance of other variables, pinpoints a possible difficulty in the data, if the singularity has no obvious physical significance. Examination of the factor scores will determine whether the problem is isolated to a few samples or over all the samples. Having this information, one may then go back to the raw data and take the appropriate corrective action. Classical factor analysis has the ability to identify several types of errors in data after it has been generated. It is then ideally suited for scanning large data sets. The ease of the identification technique makes it a beneficial tool to use before reduction and analysis of large data sets and should, in the long run, save time and effort.

  3. Biological risk factors for suicidal behaviors: a meta-analysis.

    Science.gov (United States)

    Chang, B P; Franklin, J C; Ribeiro, J D; Fox, K R; Bentley, K H; Kleiman, E M; Nock, M K

    2016-09-13

    Prior studies have proposed a wide range of potential biological risk factors for future suicidal behaviors. Although strong evidence exists for biological correlates of suicidal behaviors, it remains unclear if these correlates are also risk factors for suicidal behaviors. We performed a meta-analysis to integrate the existing literature on biological risk factors for suicidal behaviors and to determine their statistical significance. We conducted a systematic search of PubMed, PsycInfo and Google Scholar for studies that used a biological factor to predict either suicide attempt or death by suicide. Inclusion criteria included studies with at least one longitudinal analysis using a biological factor to predict either of these outcomes in any population through 2015. From an initial screen of 2541 studies we identified 94 cases. Random effects models were used for both meta-analyses and meta-regression. The combined effect of biological factors produced statistically significant but relatively weak prediction of suicide attempts (weighted mean odds ratio (wOR)=1.41; CI: 1.09-1.81) and suicide death (wOR=1.28; CI: 1.13-1.45). After accounting for publication bias, prediction was nonsignificant for both suicide attempts and suicide death. Only two factors remained significant after accounting for publication bias-cytokines (wOR=2.87; CI: 1.40-5.93) and low levels of fish oil nutrients (wOR=1.09; CI: 1.01-1.19). Our meta-analysis revealed that currently known biological factors are weak predictors of future suicidal behaviors. This conclusion should be interpreted within the context of the limitations of the existing literature, including long follow-up intervals and a lack of tests of interactions with other risk factors. Future studies addressing these limitations may more effectively test for potential biological risk factors.

  4. [A Case of Crohn's Disease Showing Favorable Response to Induction and Maintenance Therapy with Methotrexate after Failure of Anti-tumor Necrosis Factor Therapy].

    Science.gov (United States)

    Choi, Jung Ran; Yun, Gak Won; Park, Yoo Mi; Kim, Jie Hyun; Youn, Young Hoon; Park, Hyo Jin; Park, Jae Jun

    2015-10-01

    Thanks to the introduction of immumomodulators and biologics, therapeutic approaches in Crohn's disease have changed significantly during the past decade. Although new biologic therapy has dramatically improved the treatment of Crohn's disease, a substantial number of patients are refractory to these therapies or lose their initial response. Methotrexate (MTX) is a structural analogue of folic acid that can competitively inhibit the binding of dihydrofolic acid to the enzyme dihydrofolate reductase and has been widely used as immunomodulator in rheumatology area for patients with rheumatoid arthritis and psoriasis. Although MTX has also been shown to be an effective agent for remission induction and maintenance of remission in Crohn's disease, the use of MTX in Crohn's disease has not yet been reported in Korea. Herein, we report a case of Crohn's disease patient who was successfully treated with MTX after treatment failure with thiopurine and anti-tumor necrosis factor.

  5. Caregiving and developmental factors differentiating young at-risk urban children showing resilient versus stress-affected outcomes: a replication and extension.

    Science.gov (United States)

    Wyman, P A; Cowen, E L; Work, W C; Hoyt-Meyers, L; Magnus, K B; Fagen, D B

    1999-01-01

    This study tested hypotheses from an organizational-developmental model for childhood resilience. In this model resilience reflects a child's mastery of age-salient objectives, in the face of substantial adversity, by drawing on internal and external resources that enhance processes of adaptation specific to each developmental stage. Interviews were conducted with parents of 122 7- to 9-year-old urban children exposed to multiple risk factors, 69 classified as resilient and 53 as maladjusted. Consistent with predictions generated by the model: (1) characteristics of a child's caregiving system and early development differentiated children with resilient and stress-affected adaptations; and (2) variables reflecting emotionally responsive, competent parenting were direct, proximal predictors of resilient status and mediators of other caregiver resources such as education, mental health, and relational history. Identified predictors of resilient status, including competent parenting and caregiver psychosocial resources, largely replicated findings from a prior study with sociodemographically comparable 9- to 12-year-old children.

  6. Retinopathy risk factors in type II diabetic patients using factor analysis and discriminant analysis

    OpenAIRE

    Tazhibi, Mahdi; Sarrafzade, Sheida; Amini, Masoud

    2014-01-01

    Introduction: Diabetes is one of the most common chronic diseases in the world. Incidence and prevalence of diabetes are increasing in developing countries as well as in Iran. Retinopathy is the most common chronic disorder in diabetic patients. Materials and Methods: In this study, we used the information of diabetic patients’ reports that refer to endocrine and metabolism research center of Isfahan University of Medical Sciences to determine diabetic retinopathy risk factors. We used factor...

  7. Identification of noise in linear data sets by factor analysis

    Energy Technology Data Exchange (ETDEWEB)

    Roscoe, B.A.; Hopke, P.K.

    1982-01-01

    With the use of atomic and nuclear methods to analyze samples for a multitude of elements, very large data sets have been generated. Due to the ease of obtaining these results with computerized systems, the elemental data acquired are not always as thoroughly checked as they should be leading to some, if not many, bad data points. It is advantageous to have some feeling for the trouble spots in a data set before it is used for further studies. A technique which has the ability to identify bad data points, after the data has been generated, is classical factor analysis. The ability of classical factor analysis to identify two different types of data errors make it ideally suited for scanning large data sets. Since the results yielded by factor analysis indicate correlations between parameters, one must know something about the nature of the data set and the analytical techniques used to obtain it to confidentially isolate errors.

  8. Confirmatory factor analysis of a Spanish version of the sex fantasy questionnaire: assessing gender differences.

    Science.gov (United States)

    Sierra, Juan Carlos; Ortega, Virgilio; Zubeidat, Ihab

    2006-01-01

    The objective of this study was to validate the factor structure of Wilson's Sex Fantasy Questionnaire (SFQ; Wilson, 1978; Wilson & Lang, 1981) using a Spanish version. In order to do this, we conducted confirmatory factor analysis on two nonclinical samples containing 195 men and 315 women. Both groups were tested for the structure proposed by Wilson and also for some alternative models. Confirmatory factor analysis showed that four factors were reasonably distinct, especially for the men. We proposed shortened version of the instrument that would have sufficient psychometric guarantees for assessing sexual fantasies in both genders. This abridged version improved the fit of the four-factor oblique factor equally for both the samples of men and women. In the light of the results of the validation hypothesis established with some criterion variables (dyadic sexual desire, unconventional sex, homophobia), we discuss discrepancies between both versions.

  9. The chimeric repressor version of an Ethylene Response Factor (ERF) family member, Sl-ERF.B3, shows contrasting effects on tomato fruit ripening.

    Science.gov (United States)

    Liu, Mingchun; Diretto, Gianfranco; Pirrello, Julien; Roustan, Jean-Paul; Li, Zhengguo; Giuliano, Giovanni; Regad, Farid; Bouzayen, Mondher

    2014-07-01

    Fruit ripening involves a complex interplay between ethylene and ripening-associated transcriptional regulators. Ethylene Response Factors (ERFs) are downstream components of ethylene signaling, known to regulate the expression of ethylene-responsive genes. Although fruit ripening is an ethylene-regulated process, the role of ERFs remains poorly understood. The role of Sl-ERF.B3 in tomato (Solanum lycopersicum) fruit maturation and ripening is addressed here using a chimeric dominant repressor version (ERF.B3-SRDX). Over-expression of ERF.B3-SRDX results in a dramatic delay of the onset of ripening, enhanced climacteric ethylene production and fruit softening, and reduced pigment accumulation. Consistently, genes involved in ethylene biosynthesis and in softening are up-regulated and those of carotenoid biosynthesis are down-regulated. Moreover, the expression of ripening regulators, such as RIN, NOR, CNR and HB-1, is stimulated in ERF.B3-SRDX dominant repressor fruits and the expression pattern of a number of ERFs is severely altered. The data suggest the existence of a complex network enabling interconnection between ERF genes which may account for the pleiotropic alterations in fruit maturation and ripening. Overall, the study sheds new light on the role of Sl-ERF.B3 in the transcriptional network controlling the ripening process and uncovers a means towards uncoupling some of the main ripening-associated processes.

  10. Use of a serum-free epidermal culture model to show deleterious effects of epidermal growth factor on morphogenesis and differentiation.

    Science.gov (United States)

    Chen, C S; Lavker, R M; Rodeck, U; Risse, B; Jensen, P J

    1995-01-01

    The presence of serum has limited the utility of many culture models for the study of cytokine effects because its complexity and variability can confound the interpretation of data. In the present study, a serum-free skin co-culture model was used to investigate the effect of exogenous epidermal growth factor (EGF) on epidermal proliferation and differentiation. Human keratinocytes cultured on collagen rafts at the air-liquid interface produced a well-differentiated epithelium that resembled normal epidermis. Keratin filaments, membrane-coating granules, and keratohyalin granules were all observed. Epidermal differentiation markers keratin K1/K10, involucrin, and transglutaminase were localized in most of the suprabasal layers, whereas profilaggrin/filaggrin was confined to the granular layers and stratum corneum. In the continual presence of 10-20 ng/mL EGF, the epidermis was less organized, thinner, and less proliferative. EGF also depressed several indicators of differentiation: The number of keratohyalin granules and membrane-coating granules was greatly decreased; antigen expression of profilaggrin/filaggrin appeared diminished by immunocytochemical staining; frequent nuclear retention was noted in the relatively thickened stratum corneum-like layers. As detected by immunohistochemical staining, the expression of EGF receptor in the epidermis was reduced by exogenous EGF. These data illustrate that EGF cannot be considered a simple mitogen. Our findings also underscore the importance of using sophisticated culture models to assess complex cytokine effects that may be dependent on the architecture of a differentiating epidermis.

  11. Protective factors in patients aged over 65 with stroke treated by physiotherapy, showing cognitive impairment, in the Valencia Community. Protection Study in Older People (EPACV

    Directory of Open Access Journals (Sweden)

    Gil-Guillen Vicente

    2012-10-01

    Full Text Available Abstract Background Family function may have an influence on the mental health deterioration of the caregivers of dependent family members and it could have a varying importance on the care of dependents. Little attention has been paid to the preparation of minor stroke survivors for the recovery trajectory or the spouse for the caregiving role. Therefore, this study protocol intends to analyze the influence of family function on the protection of patients with stroke sequels needing physiotherapy in the family environment. Methods/Design This is an analytical observational design, prospective cohort study and using a qualitative methodology by means of data collected in the “interviews of life”. The study will be carried out by the Rehabilitation Service at Hospital of Elda in the Valencia Community. All patients that have been diagnosed with stroke and need physiotherapy treatment, having a dependency grade assigned and consent to participate in the study, will undergo a monitoring of one year in order to assess the predictive factors depending on the dependence of the people affected. Discussion Our research aims to analyze the perception of caregivers, their difficulties to work, and the influence of family function. Moreover, it aims to register the perception of the patients with stroke sequel over the care received and whether they feel protected in their family environment.

  12. Personality and coping traits: A joint factor analysis.

    Science.gov (United States)

    Ferguson, Eamonn

    2001-11-01

    OBJECTIVES: The main objective of this paper is to explore the structural similarities between Eysenck's model of personality and the dimensions of the dispositional COPE. Costa et al. {Costa P., Somerfield, M., & McCrae, R. (1996). Personality and coping: A reconceptualisation. In (pp. 44-61) Handbook of coping: Theory, research and applications. New York: Wiley} suggest that personality and coping behaviour are part of a continuum based on adaptation. If this is the case, there should be structural similarities between measures of personality and coping behaviour. This is tested using a joint factor analysis of personality and coping measures. DESIGN: Cross-sectional survey. METHODS: The EPQ-R and the dispositional COPE were administered to 154 participants, and the data were analysed using joint factor analysis and bivariate associations. RESULTS: The joint factor analysis indicated that these data were best explained by a four-factor model. One factor was primarily unrelated to personality. There was a COPE-neurotic-introvert factor (NI-COPE) containing coping behaviours such as denial, a COPE-extroversion (E-COPE) factor containing behaviours such as seeking social support and a COPE-psychoticism factor (P-COPE) containing behaviours such as alcohol use. This factor pattern, especially for NI- and E-COPE, was interpreted in terms of Gray's model of personality {Gray, J. A. (1987) The psychology of fear and stress. Cambridge: Cambridge University Press}. NI-, E-, and P-COPE were shown to be related, in a theoretically consistent manner, to perceived coping success and perceived coping functions. CONCLUSIONS: The results indicate that there are indeed conceptual links between models of personality and coping. It is argued that future research should focus on identifying coping 'trait complexes'. Implications for practice are discussed.

  13. Emotional experiences and motivating factors associated with fingerprint analysis.

    Science.gov (United States)

    Charlton, David; Fraser-Mackenzie, Peter A F; Dror, Itiel E

    2010-03-01

    In this study, we investigated the emotional and motivational factors involved in fingerprint analysis in day-to-day routine case work and in significant and harrowing criminal investigations. Thematic analysis was performed on interviews with 13 experienced fingerprint examiners from a variety of law enforcement agencies. The data revealed factors relating to job satisfaction and the use of skill. Individual satisfaction related to catching criminals was observed; this was most notable in solving high profile, serious, or long-running cases. There were positive emotional effects associated with matching fingerprints and apparent fear of making errors. Finally, we found evidence for a need of cognitive closure in fingerprint examiner decision-making.

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

    Directory of Open Access Journals (Sweden)

    Earl Chrysler

    2003-02-01

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

  15. Confirmatory Factor Analysis of the Procrastination Assessment Scale for Students

    Directory of Open Access Journals (Sweden)

    Ronald D. Yockey

    2015-10-01

    Full Text Available The relative fit of one- and two-factor models of the Procrastination Assessment Scale for Students (PASS was investigated using confirmatory factor analysis on an ethnically diverse sample of 345 participants. The results indicated that although the two-factor model provided better fit to the data than the one-factor model, neither model provided optimal fit. However, a two-factor model which accounted for common item theme pairs used by Solomon and Rothblum in the creation of the scale provided good fit to the data. In addition, a significant difference by ethnicity was also found on the fear of failure subscale of the PASS, with Whites having significantly lower scores than Asian Americans or Latino/as. Implications of the results are discussed and recommendations made for future work with the scale.

  16. A factor analysis to find critical success factors in retail brand

    Directory of Open Access Journals (Sweden)

    Naser Azad

    2013-03-01

    Full Text Available The present exploratory study aims to find critical components of retail brand among some retail stores. The study seeks to build a brand name in retail level and looks to find important factors affecting it. Customer behavior is largely influenced when the first retail customer experience is formed. These factors have direct impacts on customer experience and satisfaction in retail industry. The proposed study performs an empirical investigation on two well-known retain stores located in city of Tehran, Iran. Using a sample of 265 people from regular customers, the study uses factor analysis and extracts four main factors including related brand, product benefits, customer welfare strategy and corporate profits using the existing 31 factors in the literature.

  17. Transgenic wheat expressing Thinopyrum intermedium MYB transcription factor TiMYB2R-1 shows enhanced resistance to the take-all disease.

    Science.gov (United States)

    Liu, Xin; Yang, Lihua; Zhou, Xianyao; Zhou, Miaoping; Lu, Yan; Ma, Lingjian; Ma, Hongxiang; Zhang, Zengyan

    2013-05-01

    The disease take-all, caused by the fungus Gaeumannomyces graminis, is one of the most destructive root diseases of wheat worldwide. Breeding resistant cultivars is an effective way to protect wheat from take-all. However, little progress has been made in improving the disease resistance level in commercial wheat cultivars. MYB transcription factors play important roles in plant responses to environmental stresses. In this study, an R2R3-MYB gene in Thinopyrum intermedium, TiMYB2R-1, was cloned and characterized. The gene sequence includes two exons and an intron. The expression of TiMYB2R-1 was significantly induced following G. graminis infection. An in vitro DNA binding assay proved that TiMYB2R-1 protein could bind to the MYB-binding site cis-element ACI. Subcellular localization assays revealed that TiMYB2R-1 was localized in the nucleus. TiMYB2R-1 transgenic wheat plants were generated, characterized molecularly, and evaluated for take-all resistance. PCR and Southern blot analyses confirmed that TiMYB2R-1 was integrated into the genomes of three independent transgenic wheat lines by distinct patterns and the transgene was heritable. Reverse transcription-PCR and western blot analyses revealed that TiMYB2R-1 was highly expressed in the transgenic wheat lines. Based on disease response assessments for three successive generations, the significantly enhanced resistance to take-all was observed in the three TiMYB2R-1-overexpressing transgenic wheat lines. Furthermore, the transcript levels of at least six wheat defence-related genes were significantly elevated in the TiMYB2R-1 transgenic wheat lines. These results suggest that engineering and overexpression of TiMYB2R-1 may be used for improving take-all resistance of wheat and other cereal crops.

  18. Ranking insurance firms using AHP and Factor Analysis

    Directory of Open Access Journals (Sweden)

    Mohammad Khodaei Valahzaghard

    2013-03-01

    Full Text Available Insurance industry includes a significant part of economy and it is important to learn more about the capabilities of different firms, which are active in this industry. In this paper, we present an empirical study to rank the insurance firms using analytical hierarchy process as well as factor analysis. The study considers four criteria including capital adequacy, quality of earning, quality of cash flow and quality of firms’ assets. The results of the implementation of factor analysis (FA have been verified using Kaiser-Meyer-Olkin (KMO=0.573 and Bartlett's Chi-Square (443.267 P-value=0.000 tests. According to the results FA, the first important factor, capital adequacy, represents 21.557% of total variance, the second factor, quality of income, represents 20.958% of total variance. In addition, the third factor, quality of cash flow, represents 19.417% of total variance and the last factor, quality of assets, represents 18.641% of total variance. The study has also used analytical hierarchy process (AHP to rank insurance firms. The results of our survey indicate that capital adequacy (0.559 is accounted as the most important factor followed by quality of income (0.235, quality of cash flow (0.144 and quality of assets (0.061. The results of AHP are consistent with the results of FA, which somewhat validates the overall study.

  19. Analysis of plug-in hybrid electric vehicle utility factors

    Science.gov (United States)

    Bradley, Thomas H.; Quinn, Casey W.

    Plug-in hybrid electric vehicles (PHEVs) are hybrid electric vehicles that can be fueled from both conventional liquid fuels and grid electricity. To represent the total contribution of both of these fuels to the operation, energy use, and environmental impacts of PHEVs, researchers have developed the concept of the utility factor. As standardized in documents such as SAE J1711 and SAE J2841, the utility factor represents the proportion of vehicle distance travelled that can be allocated to a vehicle test condition so as to represent the real-world driving habits of a vehicle fleet. These standards must be used with care so that the results are understood within the context of the assumptions implicit in the standardized utility factors. This study analyzes and derives alternatives to the standard utility factors from the 2001 National Highway Transportation Survey, so as to understand the sensitivity of PHEV performance to assumptions regarding charging frequency, vehicle characteristics, driver characteristics, and means of defining the utility factor. Through analysis of these alternative utility factors, this study identifies areas where analysis, design, and policy development for PHEVs can be improved by alternative utility factor calculations.

  20. Bone dynamic study. Evaluation for factor analysis of hip joint

    Energy Technology Data Exchange (ETDEWEB)

    Nakajima, Kotaro; Toyama, Hinako; Ishikawa, Nobuyoshi; Hatakeyama, Rokuro; Akisada, Masayoshi; Miyagawa, Shunpei

    1989-02-01

    Factor analysis was applied to dynamic study of Tc-99m MDP for the evaluation of hip joint disorders. Fifteen patients were examined; eight were normal, six was osteoarthritis in which one accompanied synovitis was included, and one was aseptic necrosis on the head of the femur. In normals, according to the Tc-99m MDP kinetics, three factor images and time-activity curves were obtained which were named as blood vessel, soft tissue, and bone factor images and curves. In the patient with osteoarthritis, increased accumulation of the hip joint was shown in bone factor image only. But in one patient, who took osteoarthritis with synovitis, marked accumulations of the Tc-99m MDP appeared not only on the bone factor image but also on the soft tissue. Operation revealed thickening synovial tissue around the hip joint, caused by inflammatory process. In follow-up studies of the patient with aseptic necrosis on the head of the left femur, exessive accumulations, which were seemed in his left hip joint on both bone and soft tissue factor images at first, were decreased respondently to the treatment of this lesion. In conclusion, the factor analysis was useful for differential diagnosis of the hip joint disorders and observation of the clinical course of the hip joint disorders.

  1. Exploring factors that influence work analysis data: A meta-analysis of design choices, purposes, and organizational context.

    Science.gov (United States)

    DuVernet, Amy M; Dierdorff, Erich C; Wilson, Mark A

    2015-09-01

    Work analysis is fundamental to designing effective human resource systems. The current investigation extends previous research by identifying the differential effects of common design decisions, purposes, and organizational contexts on the data generated by work analyses. The effects of 19 distinct factors that span choices of descriptor, collection method, rating scale, and data source, as well as project purpose and organizational features, are explored. Meta-analytic results cumulated from 205 articles indicate that many of these variables hold significant consequences for work analysis data. Factors pertaining to descriptor choice, collection method, rating scale, and the purpose for conducting the work analysis each showed strong associations with work analysis data. The source of the work analysis information and organizational context in which it was conducted displayed fewer relationships. Findings can be used to inform choices work analysts make about methodology and postcollection evaluations of work analysis information.

  2. A Brief History of the Philosophical Foundations of Exploratory Factor Analysis.

    Science.gov (United States)

    Mulaik, Stanley A.

    1987-01-01

    Exploratory factor analysis derives its key ideas from many sources, including Aristotle, Francis Bacon, Descartes, Pearson and Yule, and Kant. The conclusions of exploratory factor analysis are never complete without subsequent confirmatory factor analysis. (Author/GDC)

  3. Entrance and exit region friction factor models for annular seal analysis. Ph.D. Thesis

    Science.gov (United States)

    Elrod, David Alan

    1988-01-01

    The Mach number definition and boundary conditions in Nelson's nominally-centered, annular gas seal analysis are revised. A method is described for determining the wall shear stress characteristics of an annular gas seal experimentally. Two friction factor models are developed for annular seal analysis; one model is based on flat-plate flow theory; the other uses empirical entrance and exit region friction factors. The friction factor predictions of the models are compared to experimental results. Each friction model is used in an annular gas seal analysis. The seal characteristics predicted by the two seal analyses are compared to experimental results and to the predictions of Nelson's analysis. The comparisons are for smooth-rotor seals with smooth and honeycomb stators. The comparisons show that the analysis which uses empirical entrance and exit region shear stress models predicts the static and stability characteristics of annular gas seals better than the other analyses. The analyses predict direct stiffness poorly.

  4. A variant form of the human deleted in malignant brain tumor 1 (DMBT1 gene shows increased expression in inflammatory bowel diseases and interacts with dimeric trefoil factor 3 (TFF3.

    Directory of Open Access Journals (Sweden)

    Jens Madsen

    Full Text Available The protein deleted in malignant brain tumors (DMBT1 and the trefoil factor (TFF proteins have all been proposed to have roles in epithelial cell growth and cell differentiation and shown to be up regulated in inflammatory bowel diseases. A panel of monoclonal antibodies was raised against human DMBT1(gp340. Analysis of lung washings and colon tissue extracts by Western blotting in the unreduced state, two antibodies (Hyb213-1 and Hyb213-6 reacted with a double band of 290 kDa in lung lavage. Hyb213-6, in addition, reacted against a double band of 270 kDa in colon extract while Hyb213-1 showed no reaction. Hyb213-6 showed strong cytoplasmic staining in epithelial cells of both the small and large intestine whereas no staining was seen with Hyb213-1. The number of DMBT1(gp340 positive epithelial cells, stained with Hyb213-6, was significantly up regulated in inflammatory colon tissue sections from patients with ulcerative colitis (p<0.0001 and Crohn's disease (p = 0.006 compared to normal colon tissue. Immunohistochemical analysis of trefoil factor TFF1, 2 and 3 showed that TFF1 and 3 localized to goblet cells in both normal colon tissue and in tissue from patients with ulcerative colitis or Crohn's disease. No staining for TFF2 was seen in goblet cells in normal colon tissue whereas the majority of tissue sections in ulcerative colitis and Crohn's disease showed sparse and scattered TFF2 positive goblet cells. DMBT1 and TFF proteins did therefore not co-localize in the same cells but localized in adjacent cells in the colon. The interaction between DMBT1(gp340 and trefoil TFFs proteins was investigated using an ELISA assay. DMBT1(gp340 bound to solid-phase bound recombinant dimeric TFF3 in a calcium dependent manner (p<0.0001 but did not bind to recombinant forms of monomeric TFF3, TFF2 or glycosylated TFF2. This implies a role for DMBT1 and TFF3 together in inflammatory bowel disease.

  5. An Analysis of Factors Affecting Chinese Students’ Acquisition of English Idioms

    Institute of Scientific and Technical Information of China (English)

    姜虹伊

    2015-01-01

    The study of the analysis of factors affecting Chinese students’ acquisition has been carried out, The main focus of whic is idiom acquisition. Idiom, emerges frequently both in the spoken and written English. But it has become a problem in second language acquisition. The study analyzes the factors from the familiarity, transparency and context. The review of the study shows all the three factors have a great influence on the idiom acquisition. This paper reveals the factors affecting Chinese students’ idiom acquisition and expects to put forward relevant opinions on English idiom teaching.

  6. Stand Factors and Risk Analysis of Harm Extent of Gypsy Moths

    Institute of Scientific and Technical Information of China (English)

    Shi Juan; Yan Guozeng; Guan Ling; Li Zhenyu; Feng Jihua

    2006-01-01

    Twelve stand factors affecting the harm extent of Gypsy moths (Lymantria dispar) were studied.Through stepwise regression analyses,three key factors were selected,such as crown density,soil infertility extent,and forestland area.The results showed that there exists a positive correlation between soil infertility extent and the harm extent of Gypsy moths and a significant negative correlation between the other two key factors and the harm extent of this insect.Using the three key factors,a multivariate linear regression model was established by which the authors made a risk analysis of the harm extent of Gypsy moths.

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

    Directory of Open Access Journals (Sweden)

    Xi Yu

    2014-01-01

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

  8. Application of Parallel Factor Analysis (PARAFAC to Electrophysiological Data

    Directory of Open Access Journals (Sweden)

    Sarah Katharina eSchmitz

    2015-01-01

    Full Text Available The identification of important features in multi-electrode recordings requires the decomposition of data in order to disclose relevant features and to offer a clear graphical representation. This can be a demanding task. Parallel Factor Analysis (PARAFAC; Hitchcock, 1927; Carrol & Chang, 1970; Harshman, 1970 is a method to decompose multi-dimensional arrays in order to focus on the features of interest, and provides a distinct illustration of the results. We applied PARAFAC to analyse spatio-temporal patterns in the functional connectivity between neurons, as revealed in their spike trains recorded in cat primary visual cortex (area 18. During these recordings we reversibly deactivated feedback connections from higher visual areas in the pMS (posterior middle suprasylvian cortex in order to study the impact of these top-down signals. Cross correlation was computed for every possible pair of the electrodes in the electrode array. PARAFAC was then used to reveal the effects of time, stimulus, and deactivation condition on the correlation patterns. Our results show that PARAFAC is able to reliably extract changes in correlation strength for different experimental conditions and display the relevant features. Thus, PARAFAC proves to be well-suited for the use in the context of electrophysiological (action potential recordings.

  9. Application of Parallel Factor Analysis (PARAFAC) to electrophysiological data.

    Science.gov (United States)

    Schmitz, S Katharina; Hasselbach, Philipp P; Ebisch, Boris; Klein, Anja; Pipa, Gordon; Galuske, Ralf A W

    2014-01-01

    The identification of important features in multi-electrode recordings requires the decomposition of data in order to disclose relevant features and to offer a clear graphical representation. This can be a demanding task. Parallel Factor Analysis (PARAFAC; Hitchcock, 1927; Carrol and Chang, 1970; Harshman, 1970) is a method to decompose multi-dimensional arrays in order to focus on the features of interest, and provides a distinct illustration of the results. We applied PARAFAC to analyse spatio-temporal patterns in the functional connectivity between neurons, as revealed in their spike trains recorded in cat primary visual cortex (area 18). During these recordings we reversibly deactivated feedback connections from higher visual areas in the pMS (posterior middle suprasylvian) cortex in order to study the impact of these top-down signals. Cross correlation was computed for every possible pair of the 16 electrodes in the electrode array. PARAFAC was then used to reveal the effects of time, stimulus, and deactivation condition on the correlation patterns. Our results show that PARAFAC is able to reliably extract changes in correlation strength for different experimental conditions and display the relevant features. Thus, PARAFAC proves to be well-suited for the use in the context of electrophysiological (action potential) recordings.

  10. Landslides geotechnical analysis. Qualitative assessment by valuation factors

    Science.gov (United States)

    Cuanalo Oscar, Sc D.; Oliva Aldo, Sc D.; Polanco Gabriel, M. E.

    2012-04-01

    In general, a landslide can cause a disaster when it is combined a number of factors such as an extreme event related to a geological phenomenon, vulnerable elements exposed in a specific geographic area, and the probability of loss and damage evaluated in terms of lives and economic assets, in a certain period of time. This paper presents the qualitative evaluation of slope stability through of Valuation Factors, obtained from the characterization of the determinants and triggers factors that influence the instability; for the first the morphology and topography, geology, soil mechanics, hydrogeology and vegetation to the second, the rain, earthquakes, erosion and scour, human activity, and ultimately dependent factors of the stability analysis, and its influence ranges which greatly facilitate the selection of construction processes best suited to improve the behavior of a slope or hillside. The Valuation Factors are a set of parameters for assessing the influence of conditioning and triggering factors that influence the stability of slopes and hillsides. The characteristics of each factor must be properly categorized to involve its effect on behavior; a way to do this is by assigning a weighted value range indicating its effect on the stability of a slope. It is proposed to use Valuation Factors with weighted values between 0 and 1 (arbitrarily selected but common sense and logic), the first corresponds to no or minimal effect on stability (no effect or very little influence) and the second, the greatest impact on it (has a significant influence). The meddle effects are evaluated with intermediate values.

  11. Exploratory factor analysis of the Brazilian OHIP for edentulous subjects.

    Science.gov (United States)

    Souza, R F; Leles, C R; Guyatt, G H; Pontes, C B; Della Vecchia, M P; Neves, F D

    2010-03-01

    The use of seven domains for the Oral Health Impact Profile (OHIP)-EDENT was not supported for its Brazilian version, making data interpretation in clinical settings difficult. Thus, the aim of this study was to assess patients' responses for the translated OHIP-EDENT in a group of edentulous subjects and to develop factor scales for application in future studies. Data from 103 conventional and implant-retained complete denture wearers (36 men, mean age of 69.1 +/- 10.3 years) were assessed using the Brazilian version of the OHIP-EDENT. Oral health-related quality of life domains were identified by factor analysis using principal component analysis as the extraction method, followed by varimax rotation. Factor analysis identified four factors that accounted for 63% of the 19 items total variance, named masticatory discomfort and disability (four items), psychological discomfort and disability (five items), social disability (five items) and oral pain and discomfort (five items). Four factors/domains of the Brazilian OHIP-EDENT version represent patient-important aspects of oral health-related quality of life.

  12. Low energy analysis of the nucleon electromagnetic form factors

    CERN Document Server

    Kubis, B; Kubis, Bastian; Meissner, Ulf-G.

    2001-01-01

    We analyze the electromagnetic form factors of the nucleon to fourth order in relativistic baryon chiral perturbation theory. We employ the recently proposed infrared regularization scheme and show that the convergence of the chiral expansion is improved as compared to the heavy fermion approach. We also discuss the inclusion of vector mesons and obtain an accurate description of all four nucleon form factors for momentum transfer squared up to Q^2 \\simeq 0.4 GeV^2.

  13. Using Confirmatory Factor Analysis for Construct Validation: An Empirical Review

    Science.gov (United States)

    DiStefano, Christine; Hess, Brian

    2005-01-01

    This study investigated the psychological assessment literature to determine what applied researchers are using and reporting from confirmatory factor analysis (CFA) studies for evidence of construct validation. One hundred and one articles published in four major psychological assessment journals between 1990 and 2002 were systematically…

  14. Modular Open-Source Software for Item Factor Analysis

    Science.gov (United States)

    Pritikin, Joshua N.; Hunter, Micheal D.; Boker, Steven M.

    2015-01-01

    This article introduces an item factor analysis (IFA) module for "OpenMx," a free, open-source, and modular statistical modeling package that runs within the R programming environment on GNU/Linux, Mac OS X, and Microsoft Windows. The IFA module offers a novel model specification language that is well suited to programmatic generation…

  15. Modular Open-Source Software for Item Factor Analysis

    Science.gov (United States)

    Pritikin, Joshua N.; Hunter, Micheal D.; Boker, Steven M.

    2015-01-01

    This article introduces an item factor analysis (IFA) module for "OpenMx," a free, open-source, and modular statistical modeling package that runs within the R programming environment on GNU/Linux, Mac OS X, and Microsoft Windows. The IFA module offers a novel model specification language that is well suited to programmatic generation…

  16. A Factor Analysis of Barriers to Effective Listening.

    Science.gov (United States)

    Golen, Steven

    1990-01-01

    Conducts a factor analysis to determine listening barriers perceived as most frequently affecting the listening effectiveness among business college students. Finds the presence of six listening barriers, with the barrier "listen primarily for details or facts" as the most frequently encountered barrier perceived by students. (MM)

  17. A Comparison of Imputation Methods for Bayesian Factor Analysis Models

    Science.gov (United States)

    Merkle, Edgar C.

    2011-01-01

    Imputation methods are popular for the handling of missing data in psychology. The methods generally consist of predicting missing data based on observed data, yielding a complete data set that is amiable to standard statistical analyses. In the context of Bayesian factor analysis, this article compares imputation under an unrestricted…

  18. The Effects of Overextraction on Factor and Component Analysis.

    Science.gov (United States)

    Fava, J L; Velicer, W F

    1992-07-01

    The effects of overextracting factors and components within and between the methods of maximum likelihood factor analysis (MLFA) and principal component analysis (PCA) were examined. Computer-simulated data sets were generated to represent a range of factor and component patterns. Saturation (aij = .8, .6 & .4), sample size (N = 75, 150,225,450), and variable-to-component (factor) ratio (p:m = 12:1,6:1, & 4:1) were conditions manipulated. In Study 1, scores based on the incorrect patterns were correlated with correct scores within each method after each overextraction. In Study 2, scores were correlated between the methods of PCAand MLFA after each overextraction. Overextraction had a negative effect, but scores based on strong component and factor patterns displayed robustness to the effects of overextraction. Low item saturation and low sample size resulted in degraded score reproduction. Degradation was strongest for patterns that combined low saturation and low sample size. Component and factor scores were highly correlated even at maximal levels of overextraction. Dissimilarity between score methods was the greatest in conditions that combined low saturation and low sample size. Some guidelines for researchers concerning the effects of overextraction are noted, as well as some cautions in the interpretation of results.

  19. Exploratory factor analysis of the Oral Health Impact Profile.

    Science.gov (United States)

    John, M T; Reissmann, D R; Feuerstahler, L; Waller, N; Baba, K; Larsson, P; Celebić, A; Szabo, G; Rener-Sitar, K

    2014-09-01

    Although oral health-related quality of life (OHRQoL) as measured by the Oral Health Impact Profile (OHIP) is thought to be multidimensional, the nature of these dimensions is not known. The aim of this report was to explore the dimensionality of the OHIP using the Dimensions of OHRQoL (DOQ) Project, an international study of general population subjects and prosthodontic patients. Using the project's Learning Sample (n = 5173), we conducted an exploratory factor analysis on the 46 OHIP items not specifically referring to dentures for 5146 subjects with sufficiently complete data. The first eigenvalue (27·0) of the polychoric correlation matrix was more than ten times larger than the second eigenvalue (2·6), suggesting the presence of a dominant, higher-order general factor. Follow-up analyses with Horn's parallel analysis revealed a viable second-order, four-factor solution. An oblique rotation of this solution revealed four highly correlated factors that we named Oral Function, Oro-facial Pain, Oro-facial Appearance and Psychosocial Impact. These four dimensions and the strong general factor are two viable hypotheses for the factor structure of the OHIP.

  20. Evaluating Exploratory Factor Analysis: Which Initial-Extraction Techniques Provide the Best Factor Fidelity?

    Science.gov (United States)

    Buley, Jerry L.

    1995-01-01

    States that attacks by communication scholars have cast doubt on the validity of exploratory factor analysis (EFA). Tests EFA's ability to produce results that replicate known dimensions in a data set. Concludes that EFA should be viewed with cautious optimism and be evaluated according to the findings of this and similar studies. (PA)

  1. Factor analysis improves the selection of prescribing indicators

    DEFF Research Database (Denmark)

    Rasmussen, Hanne Marie Skyggedal; Søndergaard, Jens; Sokolowski, Ineta

    2006-01-01

    OBJECTIVE: To test a method for improving the selection of indicators of general practitioners' prescribing. METHODS: We conducted a prescription database study including all 180 general practices in the County of Funen, Denmark, approximately 472,000 inhabitants. Principal factor analysis was used...... indicators directly quantifying choice of coxibs, indicators measuring expenditure per Defined Daily Dose, and indicators taking risk aspects into account, (2) "Frequent NSAID prescribing", comprising indicators quantifying prevalence or amount of NSAID prescribing, and (3) "Diverse NSAID choice", comprising...... appropriate and inappropriate prescribing, as revealed by the correlation of the indicators in the first factor. CONCLUSION: Correlation and factor analysis is a feasible method that assists the selection of indicators and gives better insight into prescribing patterns....

  2. Identifying influential factors of business process performance using dependency analysis

    Science.gov (United States)

    Wetzstein, Branimir; Leitner, Philipp; Rosenberg, Florian; Dustdar, Schahram; Leymann, Frank

    2011-02-01

    We present a comprehensive framework for identifying influential factors of business process performance. In particular, our approach combines monitoring of process events and Quality of Service (QoS) measurements with dependency analysis to effectively identify influential factors. The framework uses data mining techniques to construct tree structures to represent dependencies of a key performance indicator (KPI) on process and QoS metrics. These dependency trees allow business analysts to determine how process KPIs depend on lower-level process metrics and QoS characteristics of the IT infrastructure. The structure of the dependencies enables a drill-down analysis of single factors of influence to gain a deeper knowledge why certain KPI targets are not met.

  3. Developmental Coordination Disorder: Validation of a Qualitative Analysis Using Statistical Factor Analysis

    Directory of Open Access Journals (Sweden)

    Kathy Ahern

    2002-09-01

    Full Text Available This study investigates triangulation of the findings of a qualitative analysis by applying an exploratory factor analysis to themes identified in a phenomenological study. A questionnaire was developed from a phenomenological analysis of parents' experiences of parenting a child with Developmental Coordination Disorder (DCD. The questionnaire was administered to 114 parents of DCD children and data were analyzed using an exploratory factor analysis. The extracted factors provided support for the validity of the original qualitative analysis, and a commentary on the validity of the process is provided. The emerging description is of the compromises that were necessary to translate qualitative themes into statistical factors, and of the ways in which the statistical analysis suggests further qualitative study.

  4. A variant form of the human deleted in malignant brain tumor 1 (DMBT1) gene shows increased expression in inflammatory bowel diseases and interacts with dimeric trefoil factor 3 (TFF3).

    Science.gov (United States)

    Madsen, Jens; Sorensen, Grith Lykke; Nielsen, Ole; Tornøe, Ida; Thim, Lars; Fenger, Claus; Mollenhauer, Jan; Holmskov, Uffe

    2013-01-01

    The protein deleted in malignant brain tumors (DMBT1) and the trefoil factor (TFF) proteins have all been proposed to have roles in epithelial cell growth and cell differentiation and shown to be up regulated in inflammatory bowel diseases. A panel of monoclonal antibodies was raised against human DMBT1(gp340). Analysis of lung washings and colon tissue extracts by Western blotting in the unreduced state, two antibodies (Hyb213-1 and Hyb213-6) reacted with a double band of 290 kDa in lung lavage. Hyb213-6, in addition, reacted against a double band of 270 kDa in colon extract while Hyb213-1 showed no reaction. Hyb213-6 showed strong cytoplasmic staining in epithelial cells of both the small and large intestine whereas no staining was seen with Hyb213-1. The number of DMBT1(gp340) positive epithelial cells, stained with Hyb213-6, was significantly up regulated in inflammatory colon tissue sections from patients with ulcerative colitis (pTFF3 in a calcium dependent manner (pTFF3, TFF2 or glycosylated TFF2. This implies a role for DMBT1 and TFF3 together in inflammatory bowel disease.

  5. Confirmatory factor analysis of the WAIS-IV/WMS-IV.

    Science.gov (United States)

    Holdnack, James A; Xiaobin Zhou; Larrabee, Glenn J; Millis, Scott R; Salthouse, Timothy A

    2011-06-01

    The Wechsler Adult Intelligence Scale-fourth edition (WAIS-IV) and the Wechsler Memory Scale-fourth edition (WMS-IV) were co-developed to be used individually or as a combined battery of tests. The independent factor structure of each of the tests has been identified; however, the combined factor structure has yet to be determined. Confirmatory factor analysis was applied to the WAIS-IV/WMS-IV Adult battery (i.e., age 16-69 years) co-norming sample (n = 900) to test 13 measurement models. The results indicated that two models fit the data equally well. One model is a seven-factor solution without a hierarchical general ability factor: Verbal Comprehension, Perceptual Reasoning, Processing Speed, Auditory Working Memory, Visual Working Memory, Auditory Memory, and Visual Memory. The second model is a five-factor model composed of Verbal Comprehension, Perceptual Reasoning, Processing Speed, Working Memory, and Memory with a hierarchical general ability factor. Interpretative implications for each model are discussed.

  6. An exploratory analysis of personality factors contributed to suicide attempts

    Directory of Open Access Journals (Sweden)

    P. N. Suresh Kumar

    2013-01-01

    Full Text Available Background: People who attempt suicide have certain individual predispositions, part of which is contributed by personality traits. Aims: The present study was conducted to identify the psycho-sociodemographic and personality related factors contributing to suicide attempts. Materials and Methods: 104 suicide attempters admitted in various departments and referred to the department of psychiatry of IQRAA Hospital formed the study sample. They were evaluated with a self designed socio-demographic proforma, Eysenck′s Personality Questionnaire Revised, Albert Einstein College of Medicine-Impulsivity Coping Scale, and Past Feelings and Acts of Violence Scale. Statistics Analysis: The data was initially analyzed by percentage of frequencies. Association between socio-demographic and selected psychological factors was analyzed using t-test and Chi-square test. Intercorrelation among psychological factors was calculated by Pearson′s correlation coefficient "r". Results and Conclusion: Factors such as young age, being married, nuclear family, feeling lonely and burden to family, inability to solve the problems of day to day life, and presence of psychiatric diagnosis and personality traits such as neuroticism, impulsivity, and violence were contributed to suicide attempt. A significant positive relationship between these factors was also identified. Findings of the present study call the attention of mental health professionals to identify these high risk factors in susceptible individuals and to modify these factors to prevent them from attempting suicide.

  7. Confirmatory factor analysis for the Eating Disorder Examination Questionnaire: Evidence supporting a three-factor model.

    Science.gov (United States)

    Barnes, Jennifer; Prescott, Tim; Muncer, Steven

    2012-12-01

    The purpose of this investigation was to compare the goodness-of-fit of a one factor model with the four factor model proposed by Fairburn (2008) and the three factor model proposed by Peterson and colleagues (2007) for the Eating Disorder Examination Questionnaire (EDE-Q 6.0) (Fairburn and Beglin, 1994). Using a cross-sectional design, the EDE-Q was completed by 569 adults recruited from universities and eating disorder charities in the UK. Confirmatory factor analysis (CFA) was carried out for both the student and non-student groups. CFA indicated that Peterson et al.'s (2007) three factor model was the best fit for both groups within the current data sample. Acceptable levels of internal reliability were observed and there was clear evidence for a hierarchical factor of eating disorder. The results of this study provide support for the three factor model of the EDE-Q suggested by Peterson and colleagues (2007) in that this model was appropriate for both the student and non-student sample populations. Copyright © 2012 Elsevier Ltd. All rights reserved.

  8. Replication Analysis in Exploratory Factor Analysis: What It Is and Why It Makes Your Analysis Better

    Directory of Open Access Journals (Sweden)

    Jason W. Osborne

    2012-11-01

    Full Text Available Exploratory Factor Analysis (EFA is a powerful and commonly-used tool for investigating the underlying variable structure of a psychometric instrument. However, there is much controversy in the social sciences with regard to the techniques used in EFA (Ford, MacCallum, & Tait, 1986; Henson & Roberts, 2006 and the reliability of the outcome. Simulations by Costello and Osborne (2005, for example, demonstrate how poorly some EFA analyses replicate, even with clear underlying factor structures and large samples. Thus, we argue that researchers should routinely examine the stability or volatility of their EFA solutions to gain more insight into the robustness of their solutions and insight into how to improve their instruments while still at the exploratory stage of development.

  9. Psychometric properties of the AHRQ Community Pharmacy Survey on Patient Safety Culture: a factor analysis.

    Science.gov (United States)

    Aboneh, Ephrem A; Look, Kevin A; Stone, Jamie A; Lester, Corey A; Chui, Michelle A

    2016-05-01

    The U.S. Agency for Healthcare Research and Quality (AHRQ) developed a hospital patient safety culture survey in 2004 and has adapted this survey to other healthcare settings, such as nursing homes and medical offices, and most recently, community pharmacies. However, it is unknown whether safety culture dimensions developed for hospitals can be transferred to community pharmacies. The aim of this study was to assess the psychometric properties of the Community Pharmacy Survey on Patient Safety Culture. The survey was administered to 543 community pharmacists in Wisconsin, USA. Confirmatory factor analysis was used to assess the fit of our data with the proposed AHRQ model. Exploratory factor analysis was used to determine the underlying factor structure. Internal consistency reliabilities were calculated. A total of 433 usable surveys were returned (response rate 80%). Results from the confirmatory factor analysis showed inadequate model fit for the original 36 item, 11-factor structure. Exploratory factor analysis showed that a modified 27-item, four-factor structure better reflected the underlying safety culture dimensions in community pharmacies. The communication openness factor, with three items, dropped in its entirety while six items dropped from multiple factors. The remaining 27 items redistributed to form the four-factor structure: safety-related communication, staff training and work environment, organisational response to safety events, and staffing, work pressure and pace. Cronbach's α of 0.95 suggested good internal consistency. Our findings suggest that validation studies need to be conducted before applying safety dimensions from other healthcare settings into community pharmacies. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

  10. Performance analysis of parallel supernodal sparse LU factorization

    Energy Technology Data Exchange (ETDEWEB)

    Grigori, Laura; Li, Xiaoye S.

    2004-02-05

    We investigate performance characteristics for the LU factorization of large matrices with various sparsity patterns. We consider supernodal right-looking parallel factorization on a bi-dimensional grid of processors, making use of static pivoting. We develop a performance model and we validate it using the implementation in SuperLU-DIST, the real matrices and the IBM Power3 machine at NERSC. We use this model to obtain performance bounds on parallel computers, to perform scalability analysis and to identify performance bottlenecks. We also discuss the role of load balance and data distribution in this approach.

  11. Arabidopsis transcription factors: genome-wide comparative analysis among eukaryotes.

    Science.gov (United States)

    Riechmann, J L; Heard, J; Martin, G; Reuber, L; Jiang, C; Keddie, J; Adam, L; Pineda, O; Ratcliffe, O J; Samaha, R R; Creelman, R; Pilgrim, M; Broun, P; Zhang, J Z; Ghandehari, D; Sherman, B K; Yu, G

    2000-12-15

    The completion of the Arabidopsis thaliana genome sequence allows a comparative analysis of transcriptional regulators across the three eukaryotic kingdoms. Arabidopsis dedicates over 5% of its genome to code for more than 1500 transcription factors, about 45% of which are from families specific to plants. Arabidopsis transcription factors that belong to families common to all eukaryotes do not share significant similarity with those of the other kingdoms beyond the conserved DNA binding domains, many of which have been arranged in combinations specific to each lineage. The genome-wide comparison reveals the evolutionary generation of diversity in the regulation of transcription.

  12. Study on the factors affecting the quality of public bus transportation service in Bali Province using factor analysis

    Science.gov (United States)

    Susilawati, M.; Nilakusmawati, D. P. E.

    2017-06-01

    The volume of mobility flows are increasing day by day and the condition of the number of people using private transport modes contribute to traffic congestion. With the limited capacity of the road, one of the alternatives solution to reduce congestion is to optimize the use of public transport. The purposes of this study are to determine the factors that influence user’s satisfaction on the quality of public bus transportation service and determine variables that became identifier on the dominant factor affecting user’s satisfaction. The study was conducted for the public bus transportation between districts in the province of Bali, which is among the eight regencies and one municipality, using a questionnaire as a data collection instrument. Service variables determinant of user’s satisfaction in this study, described in 25 questions, which were analyzed using factor analysis. The results showed there were six factors that explain the satisfaction of users of public transport in Bali, with a total diversity of data that can be parsed by 61.436%. These factors are: Safety and comfort, Responsiveness, Capacity, Tangible, Safety, Reliability. The dominant factor affecting public transport user satisfaction is the safety and comfort, with the most influential variable is feeling concerned about the personal safety of users when on the bus.

  13. Factor analysis and predictive validity of microcomputer-based tests

    Science.gov (United States)

    Kennedy, R. S.; Baltzley, D. R.; Turnage, J. J.; Jones, M. B.

    1989-01-01

    11 tests were selected from two microcomputer-based performance test batteries because previously these tests exhibited rapid stability (less than 10 min, of practice) and high retest reliability efficiencies (r greater than 0.707 for each 3 min. of testing). The battery was administered three times to each of 108 college students (48 men and 60 women) and a factor analysis was performed. Two of the three identified factors appear to be related to information processing ("encoding" and "throughput/decoding"), and the third named an "output/speed" factor. The spatial, memory, and verbal tests loaded on the "encoding" factor and included Grammatical Reasoning, Pattern Comparison, Continuous Recall, and Matrix Rotation. The "throughput/decoding" tests included perceptual/numerical tests like Math Processing, Code Substitution, and Pattern Comparison. The output speed factor was identified by Tapping and Reaction Time tests. The Wonderlic Personnel Test was group administered before the first and after the last administration of the performance tests. The multiple Rs in the total sample between combined Wonderlic as a criterion and less than 5 min. of microcomputer testing on Grammatical Reasoning and Math Processing as predictors ranged between 0.41 and 0.52 on the three test administrations. Based on these results, the authors recommend a core battery which, if time permits, would consist of two tests from each factor. Such a battery is now known to permit stable, reliable, and efficient assessment.

  14. Light-Front Quark Model Analysis of Meson-Photon Transition Form Factor

    CERN Document Server

    Choi, Ho-Meoyng

    2016-01-01

    We discuss $(\\pi^0,\\eta,\\eta')\\to\\gamma^*\\gamma$ transition form factors using the light-front quark model. Our discussion includes the analysis of the mixing angles for $\\eta-\\eta'$. Our results for $Q^2 F_{(\\pi^0,\\eta,\\eta')\\to\\gamma^*\\gamma}(Q^2)$ show scaling behavior for high $Q^2$ consistent with pQCD predictions.

  15. Personality disorders in substance abusers: Validation of the DIP-Q through principal components factor analysis and canonical correlation analysis

    Directory of Open Access Journals (Sweden)

    Hesse Morten

    2005-05-01

    Full Text Available Abstract Background Personality disorders are common in substance abusers. Self-report questionnaires that can aid in the assessment of personality disorders are commonly used in assessment, but are rarely validated. Methods The Danish DIP-Q as a measure of co-morbid personality disorders in substance abusers was validated through principal components factor analysis and canonical correlation analysis. A 4 components structure was constructed based on 238 protocols, representing antagonism, neuroticism, introversion and conscientiousness. The structure was compared with (a a 4-factor solution from the DIP-Q in a sample of Swedish drug and alcohol abusers (N = 133, and (b a consensus 4-components solution based on a meta-analysis of published correlation matrices of dimensional personality disorder scales. Results It was found that the 4-factor model of personality was congruent across the Danish and Swedish samples, and showed good congruence with the consensus model. A canonical correlation analysis was conducted on a subset of the Danish sample with staff ratings of pathology. Three factors that correlated highly between the two variable sets were found. These variables were highly similar to the three first factors from the principal components analysis, antagonism, neuroticism and introversion. Conclusion The findings support the validity of the DIP-Q as a measure of DSM-IV personality disorders in substance abusers.

  16. Impact factors of fractal analysis of porous structure

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    Characterization of pore structure is one of the key problems for fabrication and application research on porous materials. But, complexity of pore structure makes it difficult to characterize pore structure by Euclidean geometry and traditional experimental methods. Fractal theory has been proved effective to characterize the complex pore structure. The box dimension method based on fractal theory was applied to characterizing the pore structure of fiber porous materials by analyzing the electronic scanning microscope (SEM) images of the porous materials in this paper. The influences of image resolution, threshold value, and image magnification on fractal analysis were investigated. The results indicate that such factors greatly affect fractal analysis process and results. The appropriate magnification threshold and fractal analysis are necessary for fractal analysis.

  17. Exploratory factor analysis of the Dizziness Handicap Inventory (German version

    Directory of Open Access Journals (Sweden)

    de Bruin Eling D

    2010-03-01

    Full Text Available Abstract Background The Dizziness Handicap Inventory (DHI is a validated, self-report questionnaire which is widely used as an outcome measure. Previous studies supported the multidimensionality of the DHI, but not the original subscale structure. The objectives of this survey were to explore the dimensions of the Dizziness Handicap Inventory - German version, and to investigate the associations of the retained factors with items assessing functional disability and the Hospital Anxiety and Depression Scale (HADS. Secondly we aimed to explore the retained factors according to the International Classification of Functioning, Disability and Health (ICF. Methods Patients were recruited from a tertiary centre for vertigo, dizziness or balance disorders. They filled in two questionnaires: (1 The DHI assesses precipitating physical factors associated with dizziness/unsteadiness and functional/emotional consequences of symptoms. (2 The HADS assesses non-somatic symptoms of anxiety and depression. In addition, patients answered the third question of the University of California Los Angeles-Dizziness Questionnaire which covers the impact of dizziness and unsteadiness on everyday activities. Principal component analysis (PCA was performed to explore the dimensions of the DHI. Associations were estimated by Spearman correlation coefficients. Results One hundred ninety-four patients with dizziness or unsteadiness associated with a vestibular disorder, mean age (standard deviation of 50.6 (13.6 years, participated. Based on eigenvalues greater one respectively the scree plot we analysed diverse factor solutions. The 3-factor solution seems to be reliable, clinically relevant and can partly be explained with the ICF. It explains 49.2% of the variance. Factor 1 comprises the effect of dizziness and unsteadiness on emotion and participation, factor 2 informs about specific activities or effort provoking dizziness and unsteadiness, and factor 3 focuses on self

  18. Network based transcription factor analysis of regenerating axolotl limbs

    Directory of Open Access Journals (Sweden)

    Cameron Jo Ann

    2011-03-01

    Full Text Available Abstract Background Studies on amphibian limb regeneration began in the early 1700's but we still do not completely understand the cellular and molecular events of this unique process. Understanding a complex biological process such as limb regeneration is more complicated than the knowledge of the individual genes or proteins involved. Here we followed a systems biology approach in an effort to construct the networks and pathways of protein interactions involved in formation of the accumulation blastema in regenerating axolotl limbs. Results We used the human orthologs of proteins previously identified by our research team as bait to identify the transcription factor (TF pathways and networks that regulate blastema formation in amputated axolotl limbs. The five most connected factors, c-Myc, SP1, HNF4A, ESR1 and p53 regulate ~50% of the proteins in our data. Among these, c-Myc and SP1 regulate 36.2% of the proteins. c-Myc was the most highly connected TF (71 targets. Network analysis showed that TGF-β1 and fibronectin (FN lead to the activation of these TFs. We found that other TFs known to be involved in epigenetic reprogramming, such as Klf4, Oct4, and Lin28 are also connected to c-Myc and SP1. Conclusions Our study provides a systems biology approach to how different molecular entities inter-connect with each other during the formation of an accumulation blastema in regenerating axolotl limbs. This approach provides an in silico methodology to identify proteins that are not detected by experimental methods such as proteomics but are potentially important to blastema formation. We found that the TFs, c-Myc and SP1 and their target genes could potentially play a central role in limb regeneration. Systems biology has the potential to map out numerous other pathways that are crucial to blastema formation in regeneration-competent limbs, to compare these to the pathways that characterize regeneration-deficient limbs and finally, to identify stem

  19. Severe pneumonia in the elderly: a multivariate analysis of risk factors.

    Science.gov (United States)

    Li, Wei; Ding, Cheng; Yin, Shaojun

    2015-01-01

    Pneumonia is the second leading reason for hospitalization of medicare beneficiaries. The mortality rate is high, especially in the elderly. In this study, we aimed to determine the risk factors associated with severe pneumonia in the elderly. Retrospective study was conducted and data of old patients with severe pneumonia were collected. They were divided into two groups: the experiment group (death group) and the control (living group). The general situation, underlying diseases, laboratory tests, types of etiology, imaging analysis and treatment situation of patients were analyzed and compared. Univariate analysis and logistic multivariate regression analysis were used to screen the related and independent risk factors for the diagnosis of severe pneumonia in the elderly. In univariate analysis, there were many factors had statistical significance including chronic kidney disease, electrolyte disturbance, low phosphorus and so on. Result of logistic multivariate regression analysis showed pro-BNP level and serum prealbumin were independent risk factors. In sputum culture, the relevance ratio of acinetobacter baumannii was the highest in gram negative bacteria followed by klebsiella pneumoniae. In gram positive bacteria, the relevance ratio of staphylococcus aureus was the highest. In conclusion, the analysis on risk factors for severe pneumonia has great clinical significance on improving the prognosis.

  20. Risk factors for progressive ischemic stroke A retrospective analysis

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    BACKGROUND: Progressive ischemic stroke has higher fatality rate and disability rate than common cerebral infarction, thus it is very significant to investigate the early predicting factors related to the occurrence of progressive ischemic stroke, thc potential pathological mechanism and the risk factors of early intervention for preventing the occurrence of progressive ischemic stroke and ameliorating its outcome.OBJECTIVE: To analyze the possible related risk factors in patients with progressive ishcemic stroke, so as to provide reference for the prevention and treatment of progressive ishcemic stroke.DESIGN: A retrospective analysis.SETTING: Department of Neurology, General Hospital of Beijing Coal Mining Group.PARTICIPANTS: Totally 280 patients with progressive ischemic stroke were selected from the Department of Neurology, General Hospital of Beijing Coal Mining Group from March 2002 to June 2006, including 192 males and 88 females, with a mean age of (62±7) years old. They were all accorded with the diagnostic standards for cerebral infarction set by the Fourth National Academic Meeting for Cerebrovascular Disease in 1995, and confired by CT or MRI, admitted within 24 hours after attack, and the neurological defect progressed gradually or aggravated in gradients within 72 hours after attack, and the aggravation of neurological defect was defined as the neurological deficit score decreased by more than 2 points. Meanwhile,200 inpatients with non-progressive ischemic stroke (135 males and 65 females) were selected as the control group.METHODS: After admission, a univariate analysis of variance was conducted using the factors of blood pressure, history of diabetes mellitus, fever, leukocytosis, levels of blood lipids, fibrinogen, blood glucose and plasma homocysteine, cerebral arterial stenosis, and CT symptoms of early infarction, and the significant factors were involved in the multivariate non-conditional Logistic regression analysis.MAIN OUTCOME MEASURES

  1. Analysis of Factors Influencing English Listening Teaching and the Countermeasures

    Institute of Scientific and Technical Information of China (English)

    TIAN Tian

    2013-01-01

    English teaching focuses on cultivating and improving students’listening, speaking, reading, writing and translating skills, which are complementary to each other. Among these five skills, listening, as an important basic skill, should be put into top priority in English teaching. Mainly based on the analysis of factors influencing English listening teaching, the paper puts for-ward some effective countermeasures in improving teaching effectiveness.

  2. Analysis on some factors affecting MIMO in tunnel

    Science.gov (United States)

    Zheng, Hong-dang; Nie, Xiao-Yan; Xu, Zhao

    2009-07-01

    Based on the 3D-GBSB (three-dimensional Geometrically Based Single-Bounce) model and MIMO channel capacity function, by geometric analysis, it is analyzed that transceiver antenna arrays, antenna spacing, antenna array angle, SNR and Rician K-factor and so on impact on the frequency-nonselective fading MIMO channel capacity. Monte Carlo method can be applied to stimulate the wireless fading channel and demonstrate Cumulative Distribution Function of above.

  3. Creative Uses of Factor Analysis in Psychotherapy Research: Past Examples and Future Possibilities.

    Science.gov (United States)

    Adams, James M.

    Factor analysis is a statistical method of reducing a set number of variables by finding similarities between them. This paper reviews the potential of factor analysis, focusing on exploratory factor analysis, in research on psychotherapy. Within the field of psychotherapy, the use of factor analysis can be classified into three groups. The first…

  4. Design of financial results on the basis of factor analysis

    Directory of Open Access Journals (Sweden)

    V. M. Sidorov

    2016-01-01

    Full Text Available Approaches are presented in the article, qualificatory the design of financial results on the basis of factor analysis. Connection marks between development of enterprises and scientific and technical progress. It is shown that potential of enterprises can be based on the design of financial results. Actuality of this direction of research marks on a background the entered approvals against Russia. A control role is indicated at the effective use of resources. It is well-proven that a key moment in forming of profit of enterprise is a design of financial results. A factor analysis is reasonable at the estimation of activity of organization, which exposed an application of this determined model domain. is sent to capital augmentation. The role of the financial system and separate elements is shown in to financially-economic activity. Connection is set between a design and structure of the investigated object. A design cannot come true without determination of structure of the investigated object, because a structure characterizes steady connections between elements. The components of elements are able in totality to counteract to external influences. For expansion of the system to distinguish the most meaningful factors. To distinguish integrating connections from appropriate. Distinguished, that factors due to co-operating with each other can create a synergistically or extinguishing effect or neutralize each other. Factors will organize or will disorganize work of organization. The design of objects is built on the certain terms, and separate parties of object are examined at abandonment from the less meaningful elements of the system. The role of empiric and theoretical level of research in the design of activity of organization is shown. An author suggested to use the determined model for determination of functional connections between a resulting index and factor signs. Exposed an application of this determined model domain.

  5. An analysis of risk factors for asymptomatic cerebral infarction.

    Science.gov (United States)

    Shiga, Tomoko; Owada, Kiyoshi; Hoshino, Tatsuo; Nagahara, Hikaru; Shiratori, Keiko

    2008-01-01

    The aim of this study is to identify risk factors for asymptomatic cerebral infarction (ACI) in the general Japanese population. A total of 634 subjects (272 men aged 55.4+/-8.8 years and 362 women aged 55.2+/-8.5 years) who visited the Health Management Center at Aoyama Hospital (Tokyo, Japan) from January 2004 through January 2005 for an annual brain dry dock examination were analyzed. We evaluated 21 risk factors for ACI by multivariate logistic regression analysis. Abnormal or potentially abnormal conditions were detected in 258 subjects (40.7% of all subjects who had an annual check-up program for brain disease). The most frequent abnormal finding was ACI, which was observed in 208 subjects. The significant risk factors for ACI, as determined by multivariate logistic analysis, were age (P <0.01), hypertension (P <0.01), and hypertensive vascular changes in the fundus (P <0.05). The hypertensive vascular abnormalities in the fundus might be a risk factor for ACI independent of age and hypertension.

  6. Perception on obesity among university students: A case study using factor analysis

    Science.gov (United States)

    Hassan, Suriani; Rahman, Nur Amira Abdol; Ghazali, Khadizah; Ismail, Norlita; Budin, Kamsia

    2014-07-01

    The purpose of this study was to examine the university students' perceptions on obesity and to compare the difference in mean scores factor based on demographic factors. Data was collected randomly using questionnaires. There were 321 university students participated in this study. Descriptive statistics, factor analysis, normality test, independent t test, one-way ANOVA and non-parametric tests were used in this study. Factor analysis results managed to retrieve three new factors namely impact of the health, impact of the physical appearance and personal factors. The study found that Science students have higher awareness and perceptions than Art students on Factor 1, impact of the health towards overweight problems and obesity. The findings of the study showed students, whose family background has obesity problem have higher awareness and perceptions than students' whose family background has no obesity problem on Factor 1, impact of the health towards overweight problems and obesity. The study also found that students' whose father with primary school level had the lowest awareness and perceptions on Factor 2, impact of the physical appearance towards overweight problems and obesity than other students whose father with higher academic level.

  7. Exploratory Analysis of the Factors Affecting Consumer Choice in E-Commerce: Conjoint Analysis

    Directory of Open Access Journals (Sweden)

    Elena Mazurova

    2017-05-01

    Full Text Available According to previous studies of online consumer behaviour, three factors are the most influential on purchasing behavior - brand, colour and position of the product on the screen. However, a simultaneous influence of these three factors on the consumer decision making process has not been investigated previously. In this particular work we aim to execute a comprehensive study of the influence of these three factors. In order to answer our main research questions, we conducted an experiment with 96 different combinations of the three attributes, and using statistical analysis, such as conjoint analysis, t-test analysis and Kendall analysis we identified that the most influential factor to the online consumer decision making process is brand, the second most important attribute is the colour, which was estimated half as important as brand, and the least important attribute is the position on the screen. Additionally, we identified the main differences regarding consumers stated and revealed preferences regarding these three attributes.

  8. Pathway-based factor analysis of gene expression data produces highly heritable phenotypes that associate with age

    OpenAIRE

    Brown, Andrew Anand; Ding, Zhihao; Viñuela, Ana; Glass, Dan; Parts, Leopold; Spector, Tim; Winn, John; Durbin, Richard

    2015-01-01

    Statistical factor analysis methods have previously been used to remove noise components from high-dimensional data prior to genetic association mapping and, in a guided fashion, to summarize biologically relevant sources of variation. Here, we show how the derived factors summarizing pathway expression can be used to analyze the relationships between expression, heritability, and aging. We used skin gene expression data from 647 twins from the MuTHER Consortium and applied factor analysis to...

  9. Quantitative risk analysis offshore-Human and organizational factors

    Energy Technology Data Exchange (ETDEWEB)

    Espen Skogdalen, Jon, E-mail: jon.espen.skogdalen@gmail.co [Department of Industrial Economics, Risk Management and Planning, University of Stavanger, 4036 Stavanger (Norway); Vinnem, Jan Erik, E-mail: jev@preventor.n [Department of Industrial Economics, Risk Management and Planning, University of Stavanger, 4036 Stavanger (Norway)

    2011-04-15

    Quantitative Risk Analyses (QRAs) are one of the main tools for risk management within the Norwegian and UK oil and gas industry. Much criticism has been given to the limitations related to the QRA-models and that the QRAs do not include human and organizational factors (HOF-factors). Norway and UK offshore legislation and guidelines require that the HOF-factors are included in the QRAs. A study of 15 QRAs shows that the factors are to some extent included, and there are large differences between the QRAs. The QRAs are categorized into four levels according to the findings. Level 1 QRAs do not describe or comment on the HOF-factors at all. Relevant research projects have been conducted to fulfill the requirements of Level 3 analyses. At this level, there is a systematic collection of data related to HOF. The methods are systematic and documented, and the QRAs are adjusted. None of the QRAs fulfill the Level 4 requirements. Level 4 QRAs include the model and describe the HOF-factors as well as explain how the results should be followed up in the overall risk management. Safety audits by regulatory authorities are probably necessary to point out the direction for QRA and speed up the development.

  10. Stability Analysis of Train Movement with Uncertain Factors

    Directory of Open Access Journals (Sweden)

    JingJing Ye

    2015-01-01

    Full Text Available We propose a new traffic model which is based on the traditional OV (optimal velocity car-following model. Here, some realistic factors are regarded as uncertain quantity, such as the headway distance. Our aim is to analyze and discuss the stability of car-following model under the constraint of uncertain factors. Then, according to the principle of expected value in fuzzy theory, an improved OV traffic model is constructed. Simulation results show that our proposed model can avoid collisions effectively under uncertain environment, and its stability can also be improved. Moreover, we discuss its stability as some parameters change, such as the relaxation time.

  11. Menstrual Factors, Reproductive Factors 
and Lung Cancer Risk: A Meta-analysis

    Directory of Open Access Journals (Sweden)

    Yue ZHANG

    2012-12-01

    Full Text Available Background and objective Epidemiological studies have suggested that menstrual and reproductive factors may influence lung cancer risk, but the results are controversial. We therefore carried out a meta-analysis aiming to examine the associations of lung cancer in women with menstrual and reproductive factors. 
Methods Relevant studies were searched from PubMed database, CNKI, WANFANG DATA and VIP INFORMATION up to January 2012, with no language restrictions. References listed from selected papers were also reviewed. We included studies that reported the estimates of relative risks (RRs with 95% confidence intervals (CIs for the association between menstrual and reproductive factors and lung cancer risk. The pooled RRs were calculated after the heterogeneity test with the software Stata 11, and publication bias and sensitivity were evaluated at the same time. 
Results Twenty-five articles, representing 24 independent studies, were included in this meta-analysis. Older age at menarche in North America women (RR=0.83; 95%CI: 0.73-0.94 was associated with a significant decreased risk of lung cancer. Longer length of menstrual cycle was also associated with decreased lung cancer risk (RR=0.72; 95%CI: 0.57-0.90. Other exposures were not significantly associated. 
Conclusions Our analysis provides evidence of the hypothesis that female sex hormones influence the risk of lung cancer in women, yet additional studies are warranted to extend this finding and to clarify the underlying mechanisms.

  12. Meta-analysis of diffusion tensor imaging (DTI) studies shows altered fractional anisotropy occurring in distinct brain areas in association with depression

    LENUS (Irish Health Repository)

    Murphy, Melissa L

    2011-09-27

    Abstract Fractional anisotropy anomalies occurring in the white matter tracts in the brains of depressed patients may reflect microstructural changes underlying the pathophysiology of this disorder. We conducted a meta-analysis of fractional anisotropy abnormalities occurring in major depressive disorder using voxel-based diffusion tensor imaging studies. Using the Embase, PubMed and Google Scholar databases, 89 relevant data sets were identified, of which 7 (including 188 patients with major depressive disorder and 221 healthy controls) met our inclusion criteria. Authors were contacted to retrieve any additional data required. Coordinates were extracted from clusters of significant white matter fractional anisotropy differences between patients and controls. Relevant demographic, clinical and methodological variables were extracted from each study or obtained directly from authors. The meta-analysis was carried out using Signed Differential Mapping. Patients with depression showed decreased white matter fractional anisotropy values in the superior longitudinal fasciculus and increased fractional anisotropy values in the fronto-occipital fasciculus compared to controls. Using quartile and jackknife sensitivity analysis, we found that reduced fractional anisotropy in the left superior longitudinal fasciculus was very stable, with increases in the right fronto-occipital fasciculus driven by just one study. In conclusion, our meta-analysis revealed a significant reduction in fractional anisotropy values in the left superior longitudinal fasciculus, which may ultimately play an important role in the pathology of depression.

  13. Meta-analysis of diffusion tensor imaging studies shows altered fractional anisotropy occurring in distinct brain areas in association with depression.

    LENUS (Irish Health Repository)

    Murphy, Melissa L

    2011-09-01

    Fractional anisotropy anomalies occurring in the white matter tracts in the brains of depressed patients may reflect microstructural changes underlying the pathophysiology of this disorder. We conducted a meta-analysis of fractional anisotropy abnormalities occurring in major depressive disorder using voxel-based diffusion tensor imaging studies. Using the Embase, PubMed and Google Scholar databases, 89 relevant data sets were identified, of which 7 (including 188 patients with major depressive disorder and 221 healthy controls) met our inclusion criteria. Authors were contacted to retrieve any additional data required. Coordinates were extracted from clusters of significant white matter fractional anisotropy differences between patients and controls. Relevant demographic, clinical and methodological variables were extracted from each study or obtained directly from authors. The meta-analysis was carried out using Signed Differential Mapping. Patients with depression showed decreased white matter fractional anisotropy values in the superior longitudinal fasciculus and increased fractional anisotropy values in the fronto-occipital fasciculus compared to controls. Using quartile and jackknife sensitivity analysis, we found that reduced fractional anisotropy in the left superior longitudinal fasciculus was very stable, with increases in the right fronto-occipital fasciculus driven by just one study. In conclusion, our meta-analysis revealed a significant reduction in fractional anisotropy values in the left superior longitudinal fasciculus, which may ultimately play an important role in the pathology of depression.

  14. Chemometric analysis of chromatographic fingerprints shows potential of Cyclopia maculata (Andrews) Kies for production of standardized extracts with high xanthone content.

    Science.gov (United States)

    Schulze, Alexandra E; de Beer, Dalene; de Villiers, André; Manley, Marena; Joubert, Elizabeth

    2014-10-29

    Cyclopia species are used for the production of honeybush tea and food ingredient extracts associated with many health benefits. A species-specific high-performance liquid chromatography (HPLC) method for Cyclopia maculata, developed and validated, allowed quantification of the major compounds in extracts from "unfermented" and fermented C. maculata. Two xanthones were tentatively identified for the first time in a Cyclopia species, whereas an additional four compounds were tentatively identified for the first time in C. maculata. "Fermentation" (oxidation) decreased the content of all compounds, with the exception of vicenin-2. Similarity analysis of the chromatographic fingerprints of unfermented C. maculata aqueous extracts showed extremely low variation (r ≥ 0.97) between samples. Some differences between wild-harvested and cultivated seedling plants were, however, demonstrated using principal component analysis. Quantitative data of selected compounds confirmed the low level of variation, making this Cyclopia species ideal for the production of standardized food ingredient extracts.

  15. Dispersion-theoretical analysis of the nucleon electromagnetic form factors

    Energy Technology Data Exchange (ETDEWEB)

    Belushkin, M.

    2007-09-29

    The structure of the proton and the neutron is of fundamental importance for the study of the strong interaction dynamics over a wide range of momentum transfers. The nucleon form factors encode information on the internal structure of the nucleon as probed by the electromagnetic interaction, and, to a certain extent, reflect the charge and magnetisation distributions within the proton and the neutron. In this thesis we report on our investigation of the electromagnetic form factors of the proton and the neutron with dispersion relation techniques, including known experimental input on the {pi}{pi}, K anti K and the {rho}{pi} continua and perturbative QCD constraints. We include new experimental data on the pion form factor and the nucleon form factors in our simultaneous analysis of all four form factors in both the space- and the timelike regions for all momentum transfers, and perform Monte- Carlo sampling in order to obtain theoretical uncertainty bands. Finally, we discuss the implications of our results on the pion cloud of the nucleon, the nucleon radii and the Okubo-Zweig-Iizuka rule, and present our results of a model-independent approach to estimating two-photon effects in elastic electron-proton scattering. (orig.)

  16. Dispersion-theoretical analysis of the nucleon electromagnetic form factors

    Energy Technology Data Exchange (ETDEWEB)

    Belushkin, M.

    2007-09-29

    The structure of the proton and the neutron is of fundamental importance for the study of the strong interaction dynamics over a wide range of momentum transfers. The nucleon form factors encode information on the internal structure of the nucleon as probed by the electromagnetic interaction, and, to a certain extent, reflect the charge and magnetisation distributions within the proton and the neutron. In this thesis we report on our investigation of the electromagnetic form factors of the proton and the neutron with dispersion relation techniques, including known experimental input on the {pi}{pi}, K anti K and the {rho}{pi} continua and perturbative QCD constraints. We include new experimental data on the pion form factor and the nucleon form factors in our simultaneous analysis of all four form factors in both the space- and the timelike regions for all momentum transfers, and perform Monte- Carlo sampling in order to obtain theoretical uncertainty bands. Finally, we discuss the implications of our results on the pion cloud of the nucleon, the nucleon radii and the Okubo-Zweig-Iizuka rule, and present our results of a model-independent approach to estimating two-photon effects in elastic electron-proton scattering. (orig.)

  17. Analysis on Popular Program of "The Generation Show" from Communication Perspective%《年代秀》热播的传播学解读

    Institute of Scientific and Technical Information of China (English)

    胡亚婷

    2012-01-01

    2011年5月27日深圳卫视推出全明星代际互动综艺节目《年代秀》,不仅赢得了观众追捧,而且获得了社会好评。本文从传播学的角度对这一较新的传播现象进行了解读。《年代秀》的开播贴合了中国当前的社会文化背景,顺应了综艺节目的发展潮流。节目中浓浓怀旧情怀的呈现、明星策略的运用抓住了电视观众的眼球;高品味的文化内涵又体现出电视媒介的社会责任。这些都是促成节目热播的关键因素。%Shenzhen TV on May 27, 2011 launched All-Star Intergenerational Interaction Variety Show "The Generation Show". It wins not only the audience but also acclaims. This article analyses the relatively new phenomenon from perspective of communication. The show fits Chinese current social cultural background and conforms to the trend of development of the variety show. Its nostalgic feelings, star strategy and high taste of cultural connotation altogether attract the audience' s egeball, making all of these key factors contributing to the show' s success.

  18. Factor analysis of processes of corporate culture formation at industrial enterprises of Ukraine

    Directory of Open Access Journals (Sweden)

    Illiashenko Sergii

    2016-06-01

    Full Text Available Authors have analyzed and synthesized the features of formation and development of the corporate culture at industrial enterprises of Ukraine and on this basis developed recommendations for application in the management of strategic development. During the research authors used the following general scientific methods: at research of patterns of interaction national culture, corporate culture and the culture of the individual authors used logical generalization method; for determining factors influencing corporate culture formation with the level of occurrence authors used factor analysis; for trend analysis of the corporate culture development at appropriate levels authors used comparative method. Results of the analysis showed that macro- and microfactors are external and mezofaktors (adaptability of business and corporate governance, corporate ethics, corporate social responsibility and personnel policies, corporate finance are internal for an enterprise. Authors have identified areas for each of the factors, itemized obstacles to the establishment and development of corporate culture at Ukrainian industrial enterprises and proposed recommendations for these processes management.

  19. Analysis of related factors affecting prognosis of shunt surgery in patients with secondary normal pressure hydrocephalus

    Directory of Open Access Journals (Sweden)

    WANG Cheng

    2013-08-01

    Full Text Available 【Abstract】Objective: The management of se-condary normal pressure hydrocephalus (sNPH is controversial. Many factors may affect the surgery effect. The purpose of this study was to identify the possible fac-tors influencing prognosis and provide theoretical basis for clinical treatment of sNPH. Methods: A retrospective study was carried out to investigate the results of 31 patients with sNPH who under-went ventriculoperitoneal shunt surgery from January 2007 to December 2011. We processed the potential influencing factors by univariate analysis and the result further by mul-tivariate logistic regression analysis. Results: Factors including age, disease duration and Glasgow coma scale (GCS score before surgery significantly influenced the prognosis of sNPH (P<0.05. Further logistic regression analysis showed that all the three factors are independent influencing factors. Conclusion: Age, disease duration and GCS score before surgery have positive predictive value in estimating favorable response to surgical treatment for sNPH. Key words: Hydrocephalus, normal pressure; Ventriculoperitoneal shunt; Regression analysis

  20. Phasor analysis of binary diffraction gratings with different fill factors

    Energy Technology Data Exchange (ETDEWEB)

    MartInez, Antonio [Departamento de Ciencia de Materiales, Optica y TecnologIa Electronica, Universidad Miguel Hernandez, 03202 Elche (Spain); Sanchez-Lopez, Ma del Mar [Instituto de BioingenierIa y Departamento de Fisica y Arquitectura de Computadores, Universidad Miguel Hernandez, 03202 Elche (Spain); Moreno, Ignacio [Departamento de Ciencia de Materiales, Optica y TecnologIa Electronica, Universidad Miguel Hernandez, 03202 Elche (Spain)

    2007-09-11

    In this work, we present a simple analysis of binary diffraction gratings with different slit widths relative to the grating period. The analysis is based on a simple phasor technique directly derived from the Huygens principle. By introducing a slit phasor and a grating phasor, the intensity of the diffracted orders and the grating's resolving power can be easily obtained without applying the usual Fourier transform operations required for these calculations. The proposed phasor technique is mathematically equivalent to the Fourier transform calculation of the diffraction order amplitude, and it can be useful to explain binary diffraction gratings in a simple manner in introductory physics courses. This theoretical analysis is illustrated with experimental results using a liquid crystal device to display diffraction gratings with different fill factors.

  1. Biosphere dose conversion Factor Importance and Sensitivity Analysis

    Energy Technology Data Exchange (ETDEWEB)

    M. Wasiolek

    2004-10-15

    This report presents importance and sensitivity analysis for the environmental radiation model for Yucca Mountain, Nevada (ERMYN). ERMYN is a biosphere model supporting the total system performance assessment (TSPA) for the license application (LA) for the Yucca Mountain repository. This analysis concerns the output of the model, biosphere dose conversion factors (BDCFs) for the groundwater, and the volcanic ash exposure scenarios. It identifies important processes and parameters that influence the BDCF values and distributions, enhances understanding of the relative importance of the physical and environmental processes on the outcome of the biosphere model, includes a detailed pathway analysis for key radionuclides, and evaluates the appropriateness of selected parameter values that are not site-specific or have large uncertainty.

  2. Association factor analysis between osteoporosis with cerebral artery disease

    Science.gov (United States)

    Jin, Eun-Sun; Jeong, Je Hoon; Lee, Bora; Im, Soo Bin

    2017-01-01

    Abstract The purpose of this study was to determine the clinical association factors between osteoporosis and cerebral artery disease in Korean population. Two hundred nineteen postmenopausal women and men undergoing cerebral computed tomography angiography were enrolled in this study to evaluate the cerebral artery disease by cross-sectional study. Cerebral artery disease was diagnosed if there was narrowing of 50% higher diameter in one or more cerebral vessel artery or presence of vascular calcification. History of osteoporotic fracture was assessed using medical record, and radiographic data such as simple radiography, MRI, and bone scan. Bone mineral density was checked by dual-energy x-ray absorptiometry. We reviewed clinical characteristics in all patients and also performed subgroup analysis for total or extracranial/ intracranial cerebral artery disease group retrospectively. We performed statistical analysis by means of chi-square test or Fisher's exact test for categorical variables and Student's t-test or Wilcoxon's rank sum test for continuous variables. We also used univariate and multivariate logistic regression analyses were conducted to assess the factors associated with the prevalence of cerebral artery disease. A two-tailed p-value of less than 0.05 was considered as statistically significant. All statistical analyses were performed using R (version 3.1.3; The R Foundation for Statistical Computing, Vienna, Austria) and SPSS (version 14.0; SPSS, Inc, Chicago, Ill, USA). Of the 219 patients, 142 had cerebral artery disease. All vertebral fracture was observed in 29 (13.24%) patients. There was significant difference in hip fracture according to the presence or absence of cerebral artery disease. In logistic regression analysis, osteoporotic hip fracture was significantly associated with extracranial cerebral artery disease after adjusting for multiple risk factors. Females with osteoporotic hip fracture were associated with total calcified

  3. Clinical features and risk factor analysis for lower extremity deep venous thrombosis in Chinese neurosurgical patients

    Directory of Open Access Journals (Sweden)

    Fuyou Guo

    2015-01-01

    Full Text Available Background: Deep venous thrombosis (DVT contributes significantly to the morbidity and mortality of neurosurgical patients; however, no data regarding lower extremity DVT in postoperative Chinese neurosurgical patients have been reported. Materials and Methods: From January 2012 to December 2013, 196 patients without preoperative DVT who underwent neurosurgical operations were evaluated by color Doppler ultrasonography and D-dimer level measurements on the 3rd, 7th, and 14th days after surgery. Follow-up clinical data were recorded to determine the incidence of lower extremity DVT in postoperative neurosurgical patients and to analyze related clinical features. First, a single factor analysis, Chi-square test, was used to select statistically significant factors. Then, a multivariate analysis, binary logistic regression analysis, was used to determine risk factors for lower extremity DVT in postoperative neurosurgical patients. Results: Lower extremity DVT occurred in 61 patients, and the incidence of DVT was 31.1% in the enrolled Chinese neurosurgical patients. The common symptoms of DVT were limb swelling and lower extremity pain as well as increased soft tissue tension. The common sites of venous involvement were the calf muscle and peroneal and posterior tibial veins. The single factor analysis showed statistically significant differences in DVT risk factors, including age, hypertension, smoking status, operation time, a bedridden or paralyzed state, the presence of a tumor, postoperative dehydration, and glucocorticoid treatment, between the two groups (P < 0.05. The binary logistic regression analysis showed that an age greater than 50 years, hypertension, a bedridden or paralyzed state, the presence of a tumor, and postoperative dehydration were risk factors for lower extremity DVT in postoperative neurosurgical patients. Conclusions: Lower extremity DVT was a common complication following craniotomy in the enrolled Chinese neurosurgical

  4. Factor analysis of nursing students' perception of patient safety education.

    Science.gov (United States)

    Mansour, Mansour

    2015-01-01

    The aim of this study is to investigate the factor structure of the Health Care Professionals Patient Safety Assessment Curriculum Survey (HPPSACS) when completed by a group of nursing students from one University in the UK. The quality, content and delivery of nursing education can have a significant impact on the future students' safety behaviours in clinical settings. The Health Care Professionals Patient Safety Assessment Curriculum Survey HPPSACS has been developed in the US to establish undergraduate nursing students' perceived awareness, skills, and attitudes toward patient safety education. The instrument has not been reported to be used elsewhere; therefore, some psychometric properties remain untested. Pre-registration nursing students (n=272) from three campuses of a university in East of England completed the HPPSACS in 2012. Principal component analysis was conducted to explore the factors emerging from the students' responses. 222 students (82%) returned the questionnaires. Constraining data to a 4-factor solution explained 52% of the variance. Factors identified were: "Willingness to disclose errors", "Recognition and management of medical errors", "The Perceived interprofessional context of patient safety" and "The perceived support and understanding for improving patient safety". The overall Cronbach's alpha was 0.64, indicating moderate internal consistency of the instrument. Some demographical and descriptive questions on the HPPSACS instrument were modified to accommodate the participants' educational context. However, all items in the HPPSACS which were included in the factor analysis remain identical to the original tool. The study offers empirical findings of how patient safety education is contextualised in the undergraduate, pre-registration nursing curriculum. Further research is required to refine and improve the overall reliability of the Health Care Professionals Patient Safety Assessment Curriculum Survey (HPPSACS' instrument

  5. Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis.

    Directory of Open Access Journals (Sweden)

    Anna B. Costello

    2005-07-01

    Full Text Available Exploratory factor analysis (EFA is a complex, multi-step process. The goal of this paper is..to collect, in one article, information that will allow researchers and practitioners to..understand the various choices available through popular software packages, and to make..decisions about - best practices- in exploratory factor analysis. In particular, this paper..provides practical information on making decisions regarding (a extraction, (b rotation, (c..the number of factors to interpret, and (d sample size.

  6. What is hypomania? Tetrachoric factor analysis and kernel estimation of DSM-IV hypomanic symptoms.

    Science.gov (United States)

    Benazzi, Franco

    2009-11-01

    The DSM-IV definition of hypomania, which relies on clinical consensus and historical tradition, includes several "nonspecific" symptoms. The aim of this study was to identify the core symptoms of DSM-IV hypomania. In an outpatient private practice, 266 bipolar II disorder (BP-II) and 138 major depressive disorder (MDD) remitted patients were interviewed by a bipolar-trained psychiatrist, for different study goals. Patients were questioned, using the Structured Clinical Interview for DSM-IV, about the most common symptoms and duration of recent threshold and subthreshold hypomanic episodes. Data were recorded between 2002 and 2006. Four different samples, assessed with the same methodology, were pooled for the present analyses. Tetrachoric factor analysis was used to identify core hypomanic symptoms. Distribution of symptoms by kernel estimation was inspected for bimodality. Validity of core hypomania was tested by receiver operating characteristic (ROC) analysis. The distribution of subthreshold and threshold hypomanic episodes did not show bimodality. Tetrachoric factor analysis found 2 uncorrelated factors: factor 1 included the "classic" symptoms elevated mood, inflated self-esteem, decreased need for sleep, talkativeness, and increase in goal-directed activity (overactivity); factor 2 included the "nonspecific" symptoms irritable mood, racing/crowded thoughts, and distractibility. Factor 1 discriminatory accuracy for distinguishing BP-II versus MDD was high (ROC area = 0.94). The distribution of the 5-symptom episodes of factor 1 showed clear-cut bimodality. Similar results were found for episodes limited to 3 behavioral symptoms of factor 1 (decreased need for sleep, talkativeness, and overactivity) and 4 behavioral symptoms of factor 1 (adding elevated mood), with high discriminatory accuracy. A core, categorical DSM-IV hypomania was found that included 3 to 5 symptoms, ie, behavioral symptoms and elevated mood. Behavioral symptoms (overactivity domain

  7. Functional pathway mapping analysis for hypoxia-inducible factors.

    Science.gov (United States)

    Chuang, Chia-Sheng; Pai, Tun-Wen; Hu, Chin-Hua; Tzou, Wen-Shyong; Dah-Tsyr Chang, Margaret; Chang, Hao-Teng; Chen, Chih-Chia

    2011-06-20

    Hypoxia-inducible factors (HIFs) are transcription factors that play a crucial role in response to hypoxic stress in living organisms. The HIF pathway is activated by changes in cellular oxygen levels and has significant impacts on the regulation of gene expression patterns in cancer cells. Identifying functional conservation across species and discovering conserved regulatory motifs can facilitate the selection of reference species for empirical tests. This paper describes a cross-species functional pathway mapping strategy based on evidence of homologous relationships that employs matrix-based searching techniques for identifying transcription factor-binding sites on all retrieved HIF target genes. HIF-related orthologous and paralogous genes were mapped onto the conserved pathways to indicate functional conservation across species. Quantitatively measured HIF pathways are depicted in order to illustrate the extent of functional conservation. The results show that in spite of the evolutionary process of speciation, distantly related species may exhibit functional conservation owing to conservative pathways. The novel terms OrthRate and ParaRate are proposed to quantitatively indicate the flexibility of a homologous pathway and reveal the alternative regulation of functional genes. The developed functional pathway mapping strategy provides a bioinformatics approach for constructing biological pathways by highlighting the homologous relationships between various model species. The mapped HIF pathways were quantitatively illustrated and evaluated by statistically analyzing their conserved transcription factor-binding elements. hypoxia-inducible factor (HIF), hypoxia-response element (HRE), transcription factor (TF), transcription factor binding site (TFBS), KEGG (Kyoto Encyclopedia of Genes and Genomes), cross-species comparison, orthology, paralogy, functional pathway.

  8. Hippocampal gene expression analysis using the ORESTES methodology shows that homer 1a mRNA is upregulated in the acute period of the pilocarpine epilepsy model.

    Science.gov (United States)

    Avedissian, Marcelo; Longo, Beatriz M; Jaqueta, Carolina B; Schnabel, Beatriz; Paiva, Paulo B; Mello, Luiz Eugênio A M; Briones, Marcelo R S

    2007-01-01

    In the study of temporal lobe epilepsy (TLE) the characterization of genes expressed in the hippocampus is of central importance for understanding their roles in epileptogenic mechanisms. Although several large-scale studies on TLE gene expression have been reported, precise assignment of individual genes associated with this syndrome is still debatable. Here we investigated differentially expressed genes by comparison of mRNAs from normal and epileptic rat hippocampus in the pilocarpine model of epilepsy. For this we used a powerful EST sequencing methodology, ORESTES (Open Reading frame Expressed Sequence Tags), which generates sequence datasets enriched for mRNAs open reading frames (ORFs) rather than simple 5' and 3' ends of mRNAs. Analysis of our sequences shows that ORESTES readily enables the identification of epilepsy associated ORFs. PFAM analysis of protein motifs present in our ORESTES epilepsy database revealed diverse important protein family domains, such as cytoskeletal, cell signaling and protein kinase domains, which could be involved in processes underlying epileptogenesis. More importantly, we show that the expression of homer 1a, known to be coupled to mGluR and NMDA synaptic transmission, is associated with pilocarpine induced status epilepticus (SE). The combined use of the pilocarpine model of epilepsy with the ORESTES technique can significantly contribute to the identification of specific genes and proteins related to TLE. This is the first study applying a large-scale method for rapid shotgun sequencing directed to ORFs in epilepsy research.

  9. The fading affect bias shows positive outcomes at the general but not the individual level of analysis in the context of social media.

    Science.gov (United States)

    Gibbons, Jeffrey A; Horowitz, Kyle A; Dunlap, Spencer M

    2017-08-01

    Unpleasant affect fades faster than pleasant affect (e.g., Walker, Vogl, & Thompson, 1997); this effect is referred to as the Fading Affect Bias (FAB; Walker, Skowronski, Gibbons, Vogl, & Thompson, 2003a). Research shows that the FAB is consistently related to positive/healthy outcomes at a general but not at a specific level of analysis based on event types and individual differences (e.g., Gibbons et al., 2013). Based on the positive outcomes for FAB and negative outcomes for social media (Bolton et al., 2013; Huang, 2010), the current study examined FAB in the context of social media events along with related individual differences. General positive outcomes were shown in the form of robust FAB effects across social media and non-social media events, a larger FAB for non-social media events than for social media events, negative correlations of FAB with depression, anxiety, and stress as well as a positive correlation of FAB with self-esteem. However, the lack of a negative correlation between FAB and anxiety for social media events in a 3-way interaction did not show positive outcomes at a specific level of analysis. Rehearsal ratings mediated the 3-way interaction. Implications are discussed. Copyright © 2017 Elsevier Inc. All rights reserved.

  10. Analysis of random factors of the self-education process

    Directory of Open Access Journals (Sweden)

    A. A. Solodov

    2016-01-01

    Full Text Available The aim of the study is the statistical description of the random factors of the self-educationт process, namely that stage of the process of continuous education, in which there is no meaningful impact on the student’s educational organization and the development of algorithms for estimating these factors. It is assumed that motivations of self-education are intrinsic factors that characterize the individual learner and external, associated with the changing environment and emerging challenges. Phenomena available for analysis a self-learning process (observed data are events relevant to this process, which are modeled by points on the time axis, the number and position of which is assumed to be random. Each point can be mapped with the unknown and unobserved random or nonrandom factor (parameter which affects the intensity of formation of dots. The purpose is to describe observable and unobservable data and developing algorithms for optimal evaluation. Further, such evaluations can be used for the individual characteristics of the process of self-study or for comparison of different students. For the analysis of statistical characteristics of the process of selfeducation applied mathematical apparatus of the theory of point random processes, which allows to determine the key statistical characteristics of unknown random factors of the process of self-education. The work consists of a logically complete model including the following components.• Study the basic statistical model of the appearance of points in the process of self-education in the form of a Poisson process, the only characteristic is the intensity of occurrence of events• Methods of testing the hypothesis about Poisson distribution of observed events.• Generalization of the basic model to the case where the intensity function depends on the time and unknown factor (variable can be both random and not random. Such factors are interpreted as

  11. A comparison study on detection of key geochemical variables and factors through three different types of factor analysis

    Science.gov (United States)

    Hoseinzade, Zohre; Mokhtari, Ahmad Reza

    2017-10-01

    Large numbers of variables have been measured to explain different phenomena. Factor analysis has widely been used in order to reduce the dimension of datasets. Additionally, the technique has been employed to highlight underlying factors hidden in a complex system. As geochemical studies benefit from multivariate assays, application of this method is widespread in geochemistry. However, the conventional protocols in implementing factor analysis have some drawbacks in spite of their advantages. In the present study, a geochemical dataset including 804 soil samples collected from a mining area in central Iran in order to search for MVT type Pb-Zn deposits was considered to outline geochemical analysis through various fractal methods. Routine factor analysis, sequential factor analysis, and staged factor analysis were applied to the dataset after opening the data with (additive logratio) alr-transformation to extract mineralization factor in the dataset. A comparison between these methods indicated that sequential factor analysis has more clearly revealed MVT paragenesis elements in surface samples with nearly 50% variation in F1. In addition, staged factor analysis has given acceptable results while it is easy to practice. It could detect mineralization related elements while larger factor loadings are given to these elements resulting in better pronunciation of mineralization.

  12. Dimensionality of an Early Childhood Scale Using Rasch Analysis and Confirmatory Factor Analysis.

    Science.gov (United States)

    Banerji, Madhabi; Smith, Richard M.; Dedrick, Robert F.

    1997-01-01

    This paper explores the use of Rasch analysis and linear confirmatory factor analysis to investigate the dimensionality of an early childhood test, the Gesell School Readiness Screening Test (F. Ilg and others, 1978). Discusses empirical analyses of results from 523 kindergarten students using both methods. (SLD)

  13. Analysis of Social Cohesion in Health Data by Factor Analysis Method: The Ghanaian Perspective

    Science.gov (United States)

    Saeed, Bashiru I. I.; Xicang, Zhao; Musah, A. A. I.; Abdul-Aziz, A. R.; Yawson, Alfred; Karim, Azumah

    2013-01-01

    We investigated the study of the overall social cohesion of Ghanaians. In this study, we considered the paramount interest of the involvement of Ghanaians in their communities, their views of other people and institutions, and their level of interest in both local and national politics. The factor analysis method was employed for analysis using R…

  14. Learning From Hidden Traits: Joint Factor Analysis and Latent Clustering

    Science.gov (United States)

    Yang, Bo; Fu, Xiao; Sidiropoulos, Nicholas D.

    2017-01-01

    Dimensionality reduction techniques play an essential role in data analytics, signal processing and machine learning. Dimensionality reduction is usually performed in a preprocessing stage that is separate from subsequent data analysis, such as clustering or classification. Finding reduced-dimension representations that are well-suited for the intended task is more appealing. This paper proposes a joint factor analysis and latent clustering framework, which aims at learning cluster-aware low-dimensional representations of matrix and tensor data. The proposed approach leverages matrix and tensor factorization models that produce essentially unique latent representations of the data to unravel latent cluster structure -- which is otherwise obscured because of the freedom to apply an oblique transformation in latent space. At the same time, latent cluster structure is used as prior information to enhance the performance of factorization. Specific contributions include several custom-built problem formulations, corresponding algorithms, and discussion of associated convergence properties. Besides extensive simulations, real-world datasets such as Reuters document data and MNIST image data are also employed to showcase the effectiveness of the proposed approaches.

  15. Dietary Factors Affecting Thyroid Cancer Risk: A Meta-Analysis.

    Science.gov (United States)

    Cho, Young Ae; Kim, Jeongseon

    2015-01-01

    Some dietary factors are proposed to affect thyroid carcinogenesis, but previous studies have reported inconsistent findings. Therefore, we performed a meta-analysis, including 18 eligible studies, to clarify the role of dietary factors in the risk of thyroid cancer. The relative risks (RRs) with 95% confidence intervals (95% CIs) were estimated to assess the association and heterogeneity tests and subgroup and sensitivity analyses, and bias assessments were performed. When the results from all studies were combined, dietary iodine, fish, and cruciferous vegetable intake were not associated with thyroid cancer. However, when the data were divided by geographic location based on iodine availability, a slight increase in the risk of thyroid cancer was observed among those consuming a high total amount of fish in iodine nondeficient areas (RR: 1.18; 95% CI: 1.03-1.35; P for heterogeneity = 0.282). When excluding the studies examining a single food item and hospital-based controls, a high intake of cruciferous vegetables was associated with an increased risk of thyroid cancer in iodine-deficient areas (RR: 1.43; 95% CI: 1.18-1.74; P for heterogeneity = 0.426). This meta-analysis implies that the role of dietary factors, such as fish and cruciferous vegetables, in thyroid cancer risk can differ based on iodine availability.

  16. Bayes factor design analysis: Planning for compelling evidence.

    Science.gov (United States)

    Schönbrodt, Felix D; Wagenmakers, Eric-Jan

    2017-03-01

    A sizeable literature exists on the use of frequentist power analysis in the null-hypothesis significance testing (NHST) paradigm to facilitate the design of informative experiments. In contrast, there is almost no literature that discusses the design of experiments when Bayes factors (BFs) are used as a measure of evidence. Here we explore Bayes Factor Design Analysis (BFDA) as a useful tool to design studies for maximum efficiency and informativeness. We elaborate on three possible BF designs, (a) a fixed-n design, (b) an open-ended Sequential Bayes Factor (SBF) design, where researchers can test after each participant and can stop data collection whenever there is strong evidence for either [Formula: see text] or [Formula: see text], and (c) a modified SBF design that defines a maximal sample size where data collection is stopped regardless of the current state of evidence. We demonstrate how the properties of each design (i.e., expected strength of evidence, expected sample size, expected probability of misleading evidence, expected probability of weak evidence) can be evaluated using Monte Carlo simulations and equip researchers with the necessary information to compute their own Bayesian design analyses.

  17. Medical and psychosocial factors associated with antibiotic prescribing in primary care: survey questionnaire and factor analysis.

    Science.gov (United States)

    Lee, Tau-Hong; Wong, Joshua Gx; Lye, David Cb; Chen, Mark Ic; Loh, Victor Wk; Leo, Yee-Sin; Lee, Linda K; Chow, Angela Lp

    2017-03-01

    Acute upper respiratory infections (AURI) are the leading causes of antibiotic prescribing in primary care although antibiotics are often not indicated. To gain an understanding of the knowledge, attitudes, and practices (KAP) of GPs in Singapore and the associated latent factors to guide the implementation of an effective programme to reduce antibiotic use in primary care. An anonymous survey on the KAP of antibiotic use in AURI of GPs in Singapore. KAP survey questionnaires were posted to all GPs from a database. To ascertain the latent factors affecting prescribing patterns, exploratory factor analysis was performed. Among 427 responses, 351 (82.2%) were from GPs working in private practice. It was found that 58.4% of GPs in the private versus 72.4% of those in the public sector recognised that >80% of AURIs were caused by viruses (P = 0.02). The majority of GPs (353/427; 82.7%) felt that antibiotics were overprescribed in primary care. Significant factors associated with low antibiotic prescribing were good medical knowledge and clinical competency (adjusted odds ratio [aOR] 3.2, 95% confidence interval [CI] = 2.4 to 4.3), good clinical practice (aOR 2.7 [95% CI = 2.0 to 3.6]), availability of diagnostic tests (aOR 1.4 [95% CI = 1.1 to 1.8]), and desire to improve clinical practice (aOR 1.5 [95% CI = 1.2 to 1.9]). The conservative practice of giving antibiotics 'to be on the safe side' is significantly less likely to be associated with low antibiotic prescribing (aOR 0.7 [95% CI = 0.5 to 0.9]). This is the first KAP survey on antibiotic prescribing for AURI among GPs in Singapore. With the latent factors identified, future interventions should be directed at addressing these factors to reduce inappropriate antibiotic prescribing. © British Journal of General Practice 2017.

  18. Factor V Leiden and inflammatory bowel disease: a systematic review and meta-analysis.

    Science.gov (United States)

    Liang, Jie; Wu, Shengjun; Feng, Bin; Lei, Shaoni; Luo, Guanhong; Wang, Jingbo; Li, Kai; Li, Xiaohua; Xie, Huahong; Zhang, Dexin; Wang, Xin; Wu, Kaichun; Miao, Danmin; Fan, Daiming

    2011-10-01

    Recent studies proved that inflammatory bowel disease (IBD) patients had a higher risk of thromboembolism and a Factor V Leiden mutation that prevents the efficient inactivation of factor V, which leads to thromboembolism and thus contributes to a high potential risk of IBD. However, the relationship between Factor V Leiden mutation and IBD remains controversial. We conducted a systematic review with meta-analysis of studies assessing the association of Factor V Leiden mutation with the risk of IBD in humans. We extracted the number of IBD and control subjects with or without Factor V Leiden mutation from each study and conducted this analysis using a fixed-effects model. Nineteen studies met the inclusion criteria and were included in the meta-analysis. No significant heterogeneity was found in results across the 19 studies (I (2) = 18.8%, P = 0.23), which showed a slight but not significant increase in the risk of IBD with Factor V Leiden mutation in the general population (summary odds ratio [OR] 1.13, 95% confidence interval [CI] 0.87-1.46). Taking into account ethnic differences, further study exhibited a slight but not significant increase in risk of IBD with Factor V Leiden mutation in Europeans (summary OR 1.20, 95% CI 0.88-1.64). However, Factor V Leiden mutation was significantly associated with a higher risk of thromboembolism in IBD patients (summary OR 5.30, 95% CI 2.25-12.48). No publication bias was found in this study. This meta-analysis indicated that although Factor V Leiden mutation was not significantly associated with the risk of IBD, it was significantly associated with a higher risk of thromboembolism in IBD patients.

  19. 基于RMP分析的泉州木偶戏旅游开发%Development of Quanzhou Puppet Show Based on RMP Analysis

    Institute of Scientific and Technical Information of China (English)

    林炜铃; 陈金华

    2011-01-01

    基于昂普(RMP)分析模式,从资源(Resource)、市场(Market)和产品(Product)三方面对泉州木偶戏旅游进行系统的评价分析,认为泉州木偶戏历史与文化意义深远、拥有显著的地域特色、广泛的戏剧市场、旅游价值极高,但目前木偶戏的旅游市场份额不足。文中提出木偶戏与创意产业联合开发、木偶戏产品空间组合开发、木偶戏推介方式多样化等三个方面的开发设想。同时提出以智力开路、官员推进、政府主导为主要手段的木偶戏旅游开发保障措施。%This article makes a complete estimate analysis on the tourism resource of Quanzhou Puppet show's estimate from the resource,the market and the product based on the RMP analysis.It displays there is a profound history and culture,prominent regional features,wide drama markets and high tourism value in Quanzhou puppet show,but a short tourism market share at the moment.This article points out a development assume on the united development of puppet show and created industry,the space combination development of puppetoon product and the various introduction of puppet show.As suggested at the same time that to develop created?tourism by intellect,official and government as guarantee measures of tourism development.

  20. Factors influencing societal response of nanotechnology: an expert stakeholder analysis

    Energy Technology Data Exchange (ETDEWEB)

    Gupta, Nidhi, E-mail: nidhi.gupta@wur.nl; Fischer, Arnout R. H., E-mail: arnout.fischer@wur.nl; Lans, Ivo A. van der, E-mail: Ivo.vanderLans@wur.nl [Wageningen University, Marketing and Consumer Behaviour Group (Netherlands); Frewer, Lynn J., E-mail: lynn.frewer@newcastle.ac.uk [Newcastle University, School of Agriculture, Food and Rural Development (United Kingdom)

    2012-05-15

    Nanotechnology can be described as an emerging technology and, as has been the case with other emerging technologies such as genetic modification, different socio-psychological factors will potentially influence societal responses to its development and application. These factors will play an important role in how nanotechnology is developed and commercialised. This article aims to identify expert opinion on factors influencing societal response to applications of nanotechnology. Structured interviews with experts on nanotechnology from North West Europe were conducted using repertory grid methodology in conjunction with generalized Procrustes analysis to examine the psychological constructs underlying societal uptake of 15 key applications of nanotechnology drawn from different areas (e.g. medicine, agriculture and environment, chemical, food, military, sports, and cosmetics). Based on expert judgement, the main factors influencing societal response to different applications of nanotechnology will be the extent to which applications are perceived to be beneficial, useful, and necessary, and how 'real' and physically close to the end-user these applications are perceived to be by the public.

  1. Factors influencing societal response of nanotechnology: an expert stakeholder analysis.

    Science.gov (United States)

    Gupta, Nidhi; Fischer, Arnout R H; van der Lans, Ivo A; Frewer, Lynn J

    2012-05-01

    Nanotechnology can be described as an emerging technology and, as has been the case with other emerging technologies such as genetic modification, different socio-psychological factors will potentially influence societal responses to its development and application. These factors will play an important role in how nanotechnology is developed and commercialised. This article aims to identify expert opinion on factors influencing societal response to applications of nanotechnology. Structured interviews with experts on nanotechnology from North West Europe were conducted using repertory grid methodology in conjunction with generalized Procrustes analysis to examine the psychological constructs underlying societal uptake of 15 key applications of nanotechnology drawn from different areas (e.g. medicine, agriculture and environment, chemical, food, military, sports, and cosmetics). Based on expert judgement, the main factors influencing societal response to different applications of nanotechnology will be the extent to which applications are perceived to be beneficial, useful, and necessary, and how 'real' and physically close to the end-user these applications are perceived to be by the public. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11051-012-0857-x) contains supplementary material, which is available to authorized users.

  2. [Analysis of risk factors for perinatal brachial plexus palsy].

    Science.gov (United States)

    Gosk, Jerzy; Rutowski, Roman

    2005-04-01

    Risk factors of obstetrical brachial plexus palsy include: (1) large birth weight, (2) shoulder dystocia and prolonged second stage of labour, (3) instrumental vaginal delivery (forceps delivery, vacuum extraction), (4) diabetes mellitus and mother's obesity, (5) breech presentation, (6) delivery and infant with obstetrical brachial plexus palsy in antecedent delivery. The purpose was analysis of the classical risk factors for brachial plexus palsy based on our own clinical material. Clinical material consists of 83 children with obstetrical brachial plexus palsy treated at the Department of Trauma and Hand Surgery (surgically--54, conservatively--29). Control group consists of 56 healthy newborns. Data recorded included: birth weight, body length, head and chest circumference, Apgar test at 1 min., type of brachial palsy and side affected, type of birth, presentation, duration of delivery (II stage), age of mother, mother's diseases, parity. The infants treated surgically have had a significantly higher birth weight, body height, head and chest circumference, in compression with control group and group treated conservatively. The differences were statistically important. Shoulder dystocia occurred in 32.9% of all vaginal delivery. Instrumental vaginal delivery was observed in 11.3% and breech presentation in 4.9% cases. There were no incidences of obstetrical brachial plexus palsy recurrence. Diabetes mellitus and mother's obesity was found in 3 cases. (1) Fetal macrosomia is the important risk factor of the obstetrical brachial plexus palsy. (2) Obstetrical brachial plexus palsy may occur also in the absence of the classical risk factors.

  3. Factors influencing societal response of nanotechnology: an expert stakeholder analysis

    Science.gov (United States)

    Gupta, Nidhi; Fischer, Arnout R. H.; van der Lans, Ivo A.; Frewer, Lynn J.

    2012-05-01

    Nanotechnology can be described as an emerging technology and, as has been the case with other emerging technologies such as genetic modification, different socio-psychological factors will potentially influence societal responses to its development and application. These factors will play an important role in how nanotechnology is developed and commercialised. This article aims to identify expert opinion on factors influencing societal response to applications of nanotechnology. Structured interviews with experts on nanotechnology from North West Europe were conducted using repertory grid methodology in conjunction with generalized Procrustes analysis to examine the psychological constructs underlying societal uptake of 15 key applications of nanotechnology drawn from different areas (e.g. medicine, agriculture and environment, chemical, food, military, sports, and cosmetics). Based on expert judgement, the main factors influencing societal response to different applications of nanotechnology will be the extent to which applications are perceived to be beneficial, useful, and necessary, and how 'real' and physically close to the end-user these applications are perceived to be by the public.

  4. Improving Your Exploratory Factor Analysis for Ordinal Data: A Demonstration Using FACTOR

    Directory of Open Access Journals (Sweden)

    James Baglin

    2014-06-01

    Full Text Available Exploratory factor analysis (EFA methods are used extensively in the field of assessment and evaluation. Due to EFA's widespread use, common methods and practices have come under close scrutiny. A substantial body of literature has been compiled highlighting problems with many of the methods and practices used in EFA, and, in response, many guidelines have been proposed with the aim to improve application. Unfortunately, implementing recommended EFA practices has been restricted by the range of options available in commercial statistical packages and, perhaps, due to an absence of clear, practical - how-to' demonstrations. Consequently, this article describes the application of methods recommended to get the most out of your EFA. The article focuses on dealing with the common situation of analysing ordinal data as derived from Likert-type scales. These methods are demonstrated using the free, stand-alone, easy-to-use and powerful EFA package FACTOR (http://psico.fcep.urv.es/utilitats/factor/, Lorenzo-Seva & Ferrando, 2006. The demonstration applies the recommended techniques using an accompanying dataset, based on the Big 5 personality test. The outcomes obtained by the EFA using the recommended procedures through FACTOR are compared to the default techniques currently available in SPSS.

  5. Physics Metacognition Inventory Part II: Confirmatory factor analysis and Rasch analysis

    Science.gov (United States)

    Taasoobshirazi, Gita; Bailey, MarLynn; Farley, John

    2015-11-01

    The Physics Metacognition Inventory was developed to measure physics students' metacognition for problem solving. In one of our earlier studies, an exploratory factor analysis provided evidence of preliminary construct validity, revealing six components of students' metacognition when solving physics problems including knowledge of cognition, planning, monitoring, evaluation, debugging, and information management. The college students' scores on the inventory were found to be reliable and related to students' physics motivation and physics grade. However, the results of the exploratory factor analysis indicated that the questionnaire could be revised to improve its construct validity. The goal of this study was to revise the questionnaire and establish its construct validity through a confirmatory factor analysis. In addition, a Rasch analysis was applied to the data to better understand the psychometric properties of the inventory and to further evaluate the construct validity. Results indicated that the final, revised inventory is a valid, reliable, and efficient tool for assessing student metacognition for physics problem solving.

  6. Citation Analysis Shows Promise as an Effective Tool for Monograph Collection Citation Analysis Shows Promise as an Effective Tool for Monograph Collection Development. A Review of: Enger, K. B. (2009. Using citation analysis to develop core book collections in academic libraries. Library & Information Science Research, 31(2, 107‐112.

    Directory of Open Access Journals (Sweden)

    Scott Marsalis

    2010-06-01

    Full Text Available Objective – To test whether acquiring books written by authors of highly cited journal articles is an effective method for building a collection in the social sciences.Design – Comparison Study.Setting – Academic library at a public university in the US.Subjects – A total of 1,359 book titles, selected by traditional means (n=1,267 or based on citation analysis (n=92.Methods – The researchers identified highly‐ranked authors, defined as the most frequently cited authors publishing in journals with an impact factor greater than one, with no more than six journals in any category, using 1999 ISI data. They included authors in the categories Business, Anthropology, Criminology & Penology, Education & Education Research, Political Science, Psychology, Sociology/Anthropology, and General Social Sciences. The Books in Print bibliographic tool was searched to identify monographs published by these authors, and any titles not already owned were purchased. All books in the study were available to patrons by Fall 2005. The researchers collected circulation data in Spring 2007, and used it to compare titles acquired by this method with titles selected by traditional means.Main Results – Overall, books selected by traditional methods circulated more than those selected by citation analysis, with differences significant at the .001 level. However, at the subject category level, there was no significant difference at the .05 level. Most books selected by the test method circulated one to two times.Conclusion – Citation analysis can be an effective method for building a relevant book collection, and may be especially effective for identifying works relevant to a discipline beyond local context.

  7. Econometric Analysis of Factors Affecting Special Purpose Forests in China

    Institute of Scientific and Technical Information of China (English)

    Wang Lanhui; Cai Fei

    2003-01-01

    The forest estate is one of our most important natural resources. It is also the material foundation for sustainable forestry development in China. It is a timely topic of concern within the forestry community and touches the entire society. From a social economic point of view, the sustainable development has been promoted by the efficient use of the forest resources in a continuing improvement of the environment. The objective of the present analysis is to measure the effect of various factors, such as population, economic development and related policies on the use of the forest resources. The 29 provinces of Mainland China are classified in three regions, based largely on their level of economic development. For each region, the factors which affect the area of special purpose forests (SPF) are analyzed. Some recommendations are made for further improvement.

  8. Pareto analysis of critical factors affecting technical institution evaluation

    Directory of Open Access Journals (Sweden)

    Victor Gambhir

    2012-08-01

    Full Text Available With the change of education policy in 1991, more and more technical institutions are being set up in India. Some of these institutions provide quality education, but others are merely concentrating on quantity. These stakeholders are in a state of confusion about decision to select the best institute for their higher educational studies. Although various agencies including print media provide ranking of these institutions every year, but their results are controversial and biased. In this paper, the authors have made an endeavor to find the critical factors for technical institution evaluation from literature survey. A Pareto analysis has also been performed to find the intensity of these critical factors in evaluation. This will not only help the stake holders in taking right decisions but will also help the management of institutions in benchmarking for identifying the most important critical areas to improve the existing system. This will in turn help Indian economy.

  9. Confirmatory factor analysis of the Sport Organizational Effectiveness Scale.

    Science.gov (United States)

    Karteroliotis, Konstantinos; Papadimitriou, Dimitra

    2004-08-01

    The purpose of this study was to examine the factorial validity of the 5-factor model of sport organizational effectiveness developed by Papadimitriou and Taylor. This questionnaire has 33 items which assess five composite effectiveness dimensions pertinent to the operation of sport organizations: calibre of the board and external liaisons, interest in athletes, internal procedures, long term planning, and sport science support. The multiple constituency approach was used as a theoretical framework for developing this scale. Data were obtained from respondents affiliated with 20 Greek national sport organizations with a questionnaire. Analysis indicated that the 5-factor model of effectiveness is workable in assessing the organizational performance of nonprofit sport organizations. The application of the multiple constituency approach in studying sport organizational effectiveness was also suggested.

  10. Spinal appearance questionnaire: factor analysis, scoring, reliability, and validity testing.

    Science.gov (United States)

    Carreon, Leah Y; Sanders, James O; Polly, David W; Sucato, Daniel J; Parent, Stefan; Roy-Beaudry, Marjolaine; Hopkins, Jeffrey; McClung, Anna; Bratcher, Kelly R; Diamond, Beverly E

    2011-08-15

    Cross sectional. This study presents the factor analysis of the Spinal Appearance Questionnaire (SAQ) and its psychometric properties. Although the SAQ has been administered to a large sample of patients with adolescent idiopathic scoliosis (AIS) treated surgically, its psychometric properties have not been fully evaluated. This study presents the factor analysis and scoring of the SAQ and evaluates its psychometric properties. The SAQ and the Scoliosis Research Society-22 (SRS-22) were administered to AIS patients who were being observed, braced or scheduled for surgery. Standard demographic data and radiographic measures including Lenke type and curve magnitude were also collected. Of the 1802 patients, 83% were female; with a mean age of 14.8 years and mean initial Cobb angle of 55.8° (range, 0°-123°). From the 32 items of the SAQ, 15 loaded on two factors with consistent and significant correlations across all Lenke types. There is an Appearance (items 1-10) and an Expectations factor (items 12-15). Responses are summed giving a range of 5 to 50 for the Appearance domain and 5 to 20 for the Expectations domain. The Cronbach's α was 0.88 for both domains and Total score with a test-retest reliability of 0.81 for Appearance and 0.91 for Expectations. Correlations with major curve magnitude were higher for the SAQ Appearance and SAQ Total scores compared to correlations between the SRS Appearance and SRS Total scores. The SAQ and SRS-22 Scores were statistically significantly different in patients who were scheduled for surgery compared to those who were observed or braced. The SAQ is a valid measure of self-image in patients with AIS with greater correlation to curve magnitude than SRS Appearance and Total score. It also discriminates between patients who require surgery from those who do not.

  11. Presence of a cerebral factor showing summer-morph-producing hormone activity in the brain of the seasonal non-polyphenic butterflies Vanessa cardui, V. indica and Nymphalis xanthomelas japonica (Lepidoptera: Nymphalidae)

    Institute of Scientific and Technical Information of China (English)

    Ayuki Tanaka; Moeko Inoue; Katsuhiko Endo; Chisato Kitazawa; Akira Yamanaka

    2009-01-01

    Three speciesofnymphalidbutterflies, Vanessacardui, V. indica and Nymphalis xanthomelas japonica, do not exhibit seasonal polyphenism in wing coloration. To deter-mine whether seasonal non-polyphenic butterflies possess a cerebral factor affecting wing coloration, we used a Polygonia c-aureum female short-day pupal assay for detection of summer-morph-producing hormone (SMPH) activity in P. c-aureum. When 2% NaCl extracts of 25 brain-equivalents prepared from the pupal brains of V. cardui, V. indica or N. xanthomelas japonica were injected into Polygonia female short-day pupae, all recipients developed into summer-morph adults with dark-yellow wings, and the average grade score (AGS) of summer morphs showing SMPH activity was 3.8, 3.7 and 4.0, respectively. In contrast, when acetone or 80% ethanol extracts prepared from pupal brains were injected into Polygonia pupae, all recipients developed into autumn-morph adults with a dark-brown coloration and each exhibited an AGS of less than 0.5. Our results indicate that a cerebral factor showing SMPH activity is present in the pupal brain of seasonal non-polyphenic nymphalid butterflies, suggesting that a SMPH and cerebral factor showing SMPH activity occur widely among butterfly species. This finding will improve our understanding of the presence of cerebral factors showing interspecific actions of SHPH.

  12. Menstrual Factors,Reproductive Factors and Lung Cancer Risk:A Meta-analysis

    Institute of Scientific and Technical Information of China (English)

    Yue ZHANG; Zhihua YIN; Li SHEN; Yan WAN; Baosen ZHOU

    2012-01-01

    Background and objective Epidemiological studies have suggested that menstrual and reproductive factors may influence lung cancer risk,but the results are controversial.We therefore carried out a meta-analysis aiming to examine the associations of lung cancer in women with menstrual and reproductive factors.Methods Relevant studies were searched from PubMed database,CNKI,WANFANG DATA and VIP INFORMATION up to January 2012,with no language restrictions.References listed from selected papers were also reviewed.We included studies that reported the estimates of relative risks(RRs)with 95% confidence intervals(CIs)for the association between menstrual and reproductive factors and lung cancer risk.The pooled RRs were calculated after the heterogeneity test with the software Stata 11,and publication bias and sensitivity were evaluated at the same time.Results Twenty-five articles,representing 24 independent studies,were included in this meta-analysis.Older age at menarche in North America women(RR=0.83;95%CI:0.73-0.94)was associated with a significant decreased risk of lung cancer.Longer length of menstrual cycle was also associated with decreased lung cancer risk(RR=0.72;95%CI:0.57-0.90).Other exposures were not significantly associated.Conclusions Our analysis provides evidence of the hypothesis that female sex hormones influence the risk of lung cancer in women,yet additional studies are warranted to extend this finding and to clarify the underlying mechanisms.

  13. Replica Analysis for Portfolio Optimization with Single-Factor Model

    Science.gov (United States)

    Shinzato, Takashi

    2017-06-01

    In this paper, we use replica analysis to investigate the influence of correlation among the return rates of assets on the solution of the portfolio optimization problem. We consider the behavior of an optimal solution for the case where the return rate is described with a single-factor model and compare the findings obtained from our proposed methods with correlated return rates with those obtained with independent return rates. We then analytically assess the increase in the investment risk when correlation is included. Furthermore, we also compare our approach with analytical procedures for minimizing the investment risk from operations research.

  14. Determination of selectivity of HPLC systems by correspondence factor analysis

    Institute of Scientific and Technical Information of China (English)

    Yuan Wang; Jun Yang; Xin Lu; Guo Wang Xu

    2007-01-01

    Correspondence factor analysis (CFA) was employed to study the selectivity of 14 HPLC systems, The tested LC systems were classified as reversed-phase (RP), ion-exchange (IE) and hydrophilic interaction chromatography (HILIC) modes. It was found that the retentions of the hydrophilic solutes on HILIC column were significantly influenced by the second-order effects besides their hydrophilic properties. Organic modifiers and residue silanol groups on silica surface both participated in retention. HypersilTM amino column performed separation in the HILIC mode at appropriate conditions, and its retention mechanism was more similar to that of HILIC silica column than that of HILIC column coating poly(aspartamide) groups.

  15. The FIRO model of family therapy: implications of factor analysis.

    Science.gov (United States)

    Hafner, R J; Ross, M W

    1989-11-01

    Schutz's FIRO model contains three main elements: inclusion, control, and affection. It is used widely in mental health research and practice, but has received little empirical validation. The present study is based on factor analysis of the resources to FIRO questionnaire of 120 normal couples and 191 couples who were attending a clinic for marital/psychiatric problems. Results confirmed the validity of the FIRO model for women only. The differences between the sexes reflected a considerable degree of sex-role stereotyping, the clinical implications of which are discussed.

  16. Critical Analysis of Factors Contributing to the Formation of Interlanguage

    Institute of Scientific and Technical Information of China (English)

    赵栩

    2015-01-01

    Interlanguage is a common phenomenon in foreign language learning process.It refers to the language system which is formed in a certain period in learners' second language or foreign language learning process.In the past,behaviorist learning theory and mentalist learning theory has dominated language learning for a long period of time,but both of them have some deficiencies.This paper is to make a critical analysis on the factors contributing to the formation of interlanguage,which reflects the practical importance of interlanguage to language teaching and learning.

  17. Critical Analysis of Factors Contributing to the Formation of Interlanguage

    Institute of Scientific and Technical Information of China (English)

    赵栩

    2015-01-01

    Interlanguage is a common phenomenon in foreign language learning process.It refers to the language system which is formed in a certain period in learners’ second language or foreign language learning process.In the past,behaviorist learning theory and mentalist learning theory has dominated language learning for a long period of time,but both of them have some deficiencies.This paper is to make a critical analysis on the factors contributing to the formation of interlanguage,which reflects the practical importance of interlanguage to language teaching and learning.

  18. Analysis of significant factors for dengue fever incidence prediction.

    Science.gov (United States)

    Siriyasatien, Padet; Phumee, Atchara; Ongruk, Phatsavee; Jampachaisri, Katechan; Kesorn, Kraisak

    2016-04-16

    Many popular dengue forecasting techniques have been used by several researchers to extrapolate dengue incidence rates, including the K-H model, support vector machines (SVM), and artificial neural networks (ANN). The time series analysis methodology, particularly ARIMA and SARIMA, has been increasingly applied to the field of epidemiological research for dengue fever, dengue hemorrhagic fever, and other infectious diseases. The main drawback of these methods is that they do not consider other variables that are associated with the dependent variable. Additionally, new factors correlated to the disease are needed to enhance the prediction accuracy of the model when it is applied to areas of similar climates, where weather factors such as temperature, total rainfall, and humidity are not substantially different. Such drawbacks may consequently lower the predictive power for the outbreak. The predictive power of the forecasting model-assessed by Akaike's information criterion (AIC), Bayesian information criterion (BIC), and the mean absolute percentage error (MAPE)-is improved by including the new parameters for dengue outbreak prediction. This study's selected model outperforms all three other competing models with the lowest AIC, the lowest BIC, and a small MAPE value. The exclusive use of climate factors from similar locations decreases a model's prediction power. The multivariate Poisson regression, however, effectively forecasts even when climate variables are slightly different. Female mosquitoes and seasons were strongly correlated with dengue cases. Therefore, the dengue incidence trends provided by this model will assist the optimization of dengue prevention. The present work demonstrates the important roles of female mosquito infection rates from the previous season and climate factors (represented as seasons) in dengue outbreaks. Incorporating these two factors in the model significantly improves the predictive power of dengue hemorrhagic fever forecasting

  19. Bayesian Factor Analysis as a Variable-Selection Problem: Alternative Priors and Consequences.

    Science.gov (United States)

    Lu, Zhao-Hua; Chow, Sy-Miin; Loken, Eric

    2016-01-01

    Factor analysis is a popular statistical technique for multivariate data analysis. Developments in the structural equation modeling framework have enabled the use of hybrid confirmatory/exploratory approaches in which factor-loading structures can be explored relatively flexibly within a confirmatory factor analysis (CFA) framework. Recently, Muthén & Asparouhov proposed a Bayesian structural equation modeling (BSEM) approach to explore the presence of cross loadings in CFA models. We show that the issue of determining factor-loading patterns may be formulated as a Bayesian variable selection problem in which Muthén and Asparouhov's approach can be regarded as a BSEM approach with ridge regression prior (BSEM-RP). We propose another Bayesian approach, denoted herein as the Bayesian structural equation modeling with spike-and-slab prior (BSEM-SSP), which serves as a one-stage alternative to the BSEM-RP. We review the theoretical advantages and disadvantages of both approaches and compare their empirical performance relative to two modification indices-based approaches and exploratory factor analysis with target rotation. A teacher stress scale data set is used to demonstrate our approach.

  20. Information technology portfolio in supply chain management using factor analysis

    Directory of Open Access Journals (Sweden)

    Ahmad Jaafarnejad

    2013-11-01

    Full Text Available The adoption of information technology (IT along with supply chain management (SCM has become increasingly a necessity among most businesses. This enhances supply chain (SC performance and helps companies achieve the organizational competitiveness. IT systems capture and analyze information and enable management to make decisions by considering a global scope across the entire SC. This paper reviews the existing literature on IT in SCM and considers pertinent criteria. Using principal component analysis (PCA of factor analysis (FA, a number of related criteria are divided into smaller groups. Finally, SC managers can develop an IT portfolio in SCM using mean values of few extracted components on the relevance –emergency matrix. A numerical example is provided to explain details of the proposed method.

  1. Analysis of psychological factors which interfere in soccer athletes’ behaviour

    Directory of Open Access Journals (Sweden)

    Constanza Pujals

    2008-06-01

    Full Text Available The aim of this study is to analyze the psychological factors which interfere in soccer athletes’s behaviour, juvenile and infant categories. 40 athletes from a soccer school in Maringá – PR were studied and the instruments used were: inventories, interviews, questionnaires and research diary. Data were collected individually and in group. Intervention occurred for 12 months through observation, evaluation and showed the following factors: motivation, anxiety, aggression and self confidence. Results pointed out that the positive emotions expressed by the athletes were good mood, happiness, relaxation, interest in improving and hope while negative emotions were anxiety, rage, aggressiveness, low self-confidence, lack of motivation, insecurity, feeling of failure, pessimism and group instability. Relatives and coach were also generating factors of stress and anxiety. Thus, this sporting context shows that the sports psychology seems to be highly efficient to reduce anxiety and agression indexes as well as to increase motivation and self-confidence, demonstrating the importance of psychological preparation for sporting training.

  2. A propensity score analysis shows that empirical treatment with linezolid does not increase the thirty-day mortality rate in patients with Gram-negative bacteremia.

    Science.gov (United States)

    Ternavasio-de la Vega, Hugo-Guillermo; Mateos-Díaz, Ana-María; Martinez, Jose-Antonio; Almela, Manel; Cobos-Trigueros, Nazaret; Morata, Laura; De-la-Calle, Cristina; Sala, Marta; Mensa, Josep; Marcos, Miguel; Soriano, Alex

    2014-12-01

    The role of linezolid in empirical therapy of suspected bacteremia remains unclear. The aim of this study was to evaluate the influence of empirical use of linezolid or glycopeptides in addition to other antibiotics on the 30-day mortality rates in patients with Gram-negative bacteremia. For this purpose, 1,126 patients with Gram-negative bacteremia in the Hospital Clinic of Barcelona from 2000 to 2012 were included in this study. In order to compare the mortality rates between patients who received linezolid or glycopeptides, the propensity scores on baseline variables were used to balance the treatment groups, and both propensity score matching and propensity-adjusted logistic regression were used to compare the 30-day mortality rates between the groups. The overall 30-day mortality rate was 16.0% during the study period. Sixty-eight patients received empirical treatment with linezolid, and 1,058 received glycopeptides. The propensity score matching included 64 patients in each treatment group. After matching, the mortality rates were 14.1% (9/64) in patients who received glycopeptides and 21.9% (14/64) in those who received linezolid, and a nonsignificant association between empirical linezolid treatment and mortality rate (odds ratio [OR], 1.63; 95% confidence interval [CI], 0.69 to 3.82; P = 0.275, McNemar's test) was found. This association remained nonsignificant when variables that remained unbalanced after matching were included in a conditional logistic regression model. Further, the stratified propensity score analysis did not show any significant relationship between empirical linezolid treatment and the mortality rate after adjustment by propensity score quintiles or other variables potentially associated with mortality. In conclusion, the propensity score analysis showed that empirical treatment with linezolid compared with that with glycopeptides was not associated with 30-day mortality rates in patients with Gram-negative bacteremia.

  3. Bayesian non-negative factor analysis for reconstructing transcription factor mediated regulatory networks

    Directory of Open Access Journals (Sweden)

    Chen Yidong

    2011-10-01

    Full Text Available Abstract Background Transcriptional regulation by transcription factor (TF controls the time and abundance of mRNA transcription. Due to the limitation of current proteomics technologies, large scale measurements of protein level activities of TFs is usually infeasible, making computational reconstruction of transcriptional regulatory network a difficult task. Results We proposed here a novel Bayesian non-negative factor model for TF mediated regulatory networks. Particularly, the non-negative TF activities and sample clustering effect are modeled as the factors from a Dirichlet process mixture of rectified Gaussian distributions, and the sparse regulatory coefficients are modeled as the loadings from a sparse distribution that constrains its sparsity using knowledge from database; meantime, a Gibbs sampling solution was developed to infer the underlying network structure and the unknown TF activities simultaneously. The developed approach has been applied to simulated system and breast cancer gene expression data. Result shows that, the proposed method was able to systematically uncover TF mediated transcriptional regulatory network structure, the regulatory coefficients, the TF protein level activities and the sample clustering effect. The regulation target prediction result is highly coordinated with the prior knowledge, and sample clustering result shows superior performance over previous molecular based clustering method. Conclusions The results demonstrated the validity and effectiveness of the proposed approach in reconstructing transcriptional networks mediated by TFs through simulated systems and real data.

  4. Analysis of conservative tracer measurement results using the Frechet distribution at planted horizontal subsurface flow constructed wetlands filled with coarse gravel and showing the effect of clogging processes.

    Science.gov (United States)

    Dittrich, Ernő; Klincsik, Mihály

    2015-11-01

    A mathematical process, developed in Maple environment, has been successful in decreasing the error of measurement results and in the precise calculation of the moments of corrected tracer functions. It was proved that with this process, the measured tracer results of horizontal subsurface flow constructed wetlands filled with coarse gravel (HSFCW-C) can be fitted more accurately than with the conventionally used distribution functions (Gaussian, Lognormal, Fick (Inverse Gaussian) and Gamma). This statement is true only for the planted HSFCW-Cs. The analysis of unplanted HSFCW-Cs needs more research. The result of the analysis shows that the conventional solutions (completely stirred series tank reactor (CSTR) model and convection-dispersion transport (CDT) model) cannot describe these types of transport processes with sufficient accuracy. These outcomes can help in developing better process descriptions of very difficult transport processes in HSFCW-Cs. Furthermore, a new mathematical process can be developed for the calculation of real hydraulic residence time (HRT) and dispersion coefficient values. The presented method can be generalized to other kinds of hydraulic environments.

  5. First multigene analysis of Archamoebae (Amoebozoa: Conosa) robustly reveals its phylogeny and shows that Entamoebidae represents a deep lineage of the group.

    Science.gov (United States)

    Pánek, Tomáš; Zadrobílková, Eliška; Walker, Giselle; Brown, Matthew W; Gentekaki, Eleni; Hroudová, Miluše; Kang, Seungho; Roger, Andrew J; Tice, Alexander K; Vlček, Čestmír; Čepička, Ivan

    2016-05-01

    Archamoebae is an understudied group of anaerobic free-living or endobiotic protists that constitutes the major anaerobic lineage of the supergroup Amoebozoa. Hitherto, the phylogeny of Archamoebae was based solely on SSU rRNA and actin genes, which did not resolve relationships among the main lineages of the group. Because of this uncertainty, several different scenarios had been proposed for the phylogeny of the Archamoebae. In this study, we present the first multigene phylogenetic analysis that includes members of Pelomyxidae, and Rhizomastixidae. The analysis clearly shows that Mastigamoebidae, Pelomyxidae and Rhizomastixidae form a clade of mostly free-living, amoeboid flagellates, here called Pelobiontida. The predominantly endobiotic and aflagellated Entamoebidae represents a separate, deep-branching lineage, Entamoebida. Therefore, two unique evolutionary events, horizontal transfer of the nitrogen fixation system from bacteria and transfer of the sulfate activation pathway to mitochondrial derivatives, predate the radiation of recent lineages of Archamoebae. The endobiotic lifestyle has arisen at least three times independently during the evolution of the group. We also present new ultrastructural data that clarifies the primary divergence among the family Mastigamoebidae which had previously been inferred from phylogenetic analyses based on SSU rDNA.

  6. Chicken granulosa cells show differential expression of epidermal growth factor (EGF) and luteinizing hormone (LH) receptor messenger RNA and differential responsiveness to EGF and LH dependent upon location of granulosa cells to the germinal disc.

    Science.gov (United States)

    Yao, H H; Bahr, J M

    2001-06-01

    Granulosa cells in the chicken follicle exhibit different phenotypes according to their location relative to the germinal disc (GD). Granulosa cells proximal to the GD (referred to as proximal granulosa cells) are more proliferative, whereas granulosa cells distal to the GD (referred to as distal granulosa cells) are more differentiated. We have shown that epidermal growth factor (EGF) derived from the GD stimulated proliferation of granulosa cells proximal to the GD, whereas extraovarian LH promoted differentiation. We tested the hypothesis that phenotypic differences of granulosa cells are the result of differential responsiveness of granulosa cells to EGF and LH. We found that both granulosa and theca layers of chicken preovulatory follicles expressed mRNA for EGF receptor (EGFr) by polymerase chain reaction (PCR) analysis. However, only the granulosa layer showed differential expression of EGFr and LH receptor (LHr) mRNA. Competitive reverse transcription-PCR revealed that proximal granulosa cells expressed more EGFr mRNA but less LHr mRNA than distal granulosa cells. In addition, proximal granulosa cells proliferated more in response to EGF than their distal counterparts. We further demonstrated that EGF decreased LHr mRNA expression by granulosa cells in a dose-dependent manner, whereas EGF and LH had no effect on EGFr mRNA expression except at one dose of LH (15 ng/ml) that stimulated EGFr mRNA expression. Our findings suggest that EGF derived from the GD influences the phenotypes of granulosa cells. Granulosa cells proximal to the GD exhibit a proliferative phenotype possibly because they are exposed to and are more responsive to GD-derived EGF. Furthermore, GD-derived EGF decreases LHr mRNA expression by proximal granulosa cells and therefore results in less differentiated granulosa cell phenotype. In contrast, granulosa cells distal to the GD are not under the influence of EGF and exhibit a more differentiated phenotype.

  7. Factor Analysis of Enterprise Internet+ Impetus Based on System Dynamics

    Directory of Open Access Journals (Sweden)

    Cao Haiwang

    2017-01-01

    Full Text Available Internet+ plays an important role in the transition and upgrading of enterprises in this era. To promote enterprise Internet+ implementation, this paper studies the influencing factors in enterprise Internet+ impetus. First, based on system dynamics, the influencing factors of enterprise Internet+ impetus are analyzed as well as their relationships. Then, a system dynamics model is established and Vensim PLE is utilized to simulate the model. Finally, some suggestions about the Internet+ implementation are given. The simulation results show that technological environment, government policy and information asymmetry all have different influence on the enterprise Internet+ impetus and different strategies can be taken to change their influence. This study is helpful for enterprises to understand the Internet+ impetus mechanism thus promote Internet+ implementation.

  8. Factors influencing municipal solid waste generation in China: a multiple statistical analysis study.

    Science.gov (United States)

    Liu, Chen; Wu, Xin-wu

    2011-04-01

    A relationship between the waste production and socio-economic factors is essential in waste management. In the present study, the factors influencing municipal solid waste generation in China were investigated by multiple statistical analysis. Twelve items were chosen for investigation: GDP, per capita GDP, urban population, the proportion of urban population, the area of urban construction, the area of paved roads, the area of urban gardens and green areas, the number of the large cities, annual per capita disposable income of urban households, annual per capita consumption expenditure of urban households, total energy consumption and annual per capital consumption for households. Two methodologies from multiple statistical analysis were selected; specifically principal components analysis (PCA) and cluster analysis (CA). Three new dimensions were identified by PCA: component 1: economy and urban development; component 2: energy consumption; and component 3: urban scale. The three components together accounted for 99.1% of the initial variance. The results show that economy and urban development are important items influencing MSW generation. The proportion of urban population and urban population had the highest loadings in all factors. The relationship between growth of gross domestic product (GDP) and production of MSW was not as clear-cut as often assumed in China, a situation that is more likely to apply to developed countries. Energy consumption was another factor considered in our study of MSW generation. In addition, the annual MSW quantity variation was investigated by cluster analysis.

  9. Single Molecule Analysis of the Arabidopsis FRA1 Kinesin Shows that It Is a Functional Motor Protein with Unusually High Processivity

    Institute of Scientific and Technical Information of China (English)

    Chuanmei Zhu; Ram Dixit

    2011-01-01

    The Arabidopsis FRA1 kinesin contributes to the organization of cellulose microfibrils through an unknown mechanism.The cortical localization of this kinesin during interphase raises the possibility that it transports cell wallrelated cargoes along cortical microtubules that either directly or indirectly influence cellulose microfibril patterning.To determine whether FRA1 is an authentic motor protein,we combined bulk biochemical assays and single molecule fluorescence imaging to analyze the motor properties of recombinant,GFP-tagged FRA1 containing the motor and coiled-coil domains (designated as FRA1(707)-GFP).We found that FRA1(707)-GFP binds to microtubules in an ATP-dependent manner and that its ATPase activity is dramatically stimulated by the presence of microtubules.Using single molecule studies,we found that FRA1(707)-GFP moves processively along microtubule tracks at a velocity of about 0.4 μm s-1.In addition,we found that FRA1(707)-GFP is a microtubule plus-end-directed motor and that it moves along microtubules as a dimer.Interestingly,our single molecule analysis shows that the processivity of FRA1(707)-GFP is at least twice the processivity of conventional kinesin,making FRA1 the most processive kinesin to date.Together,our data show that FRA1 is a bona fide motor protein that has the potential to drive long-distance transport of cargo along cortical microtubules.

  10. An Analysis of Trafficking Receptors Shows that CD44 and P-Selectin Glycoprotein Ligand-1 Collectively Control the Migration of Activated Human T-Cells

    KAUST Repository

    Ali, Amal J.

    2017-05-03

    Selectins guide the traffic of activated T-cells through the blood stream by mediating their tethering and rolling onto inflamed endothelium, in this way acting as beacons to help navigate them to sites of inflammation. Here, we present a comprehensive analysis of E-selectin ligands expressed on activated human T-cells. We identified several novel glycoproteins that function as E-selectin ligands. Specifically, we compared the role of P-selectin glycoprotein ligand-1 (PSGL-1) and CD43, known E-selectin ligands, to CD44, a ligand that has not previously been characterized as an E-selectin ligand on activated human T-cells. We showed that CD44 acts as a functional E-selectin ligand when expressed on both CD4+ and CD8+ T-cells. Moreover, the CD44 protein carries a binding epitope identifying it as hematopoietic cell E- and/or L-selectin ligand (HCELL). Furthermore, by knocking down these ligands individually or together in primary activated human T-cells, we demonstrated that CD44/HCELL, and not CD43, cooperates with PSGL-1 as a major E-selectin ligand. Additionally, we demonstrated the relevance of our findings to chronic autoimmune disease, by showing that CD44/HCELL and PSGL-1, but not CD43, from T-cells isolated from psoriasis patients, bind E-selectin.

  11. Analysis of large new South African dataset using two host-specificity indices shows generalism in both adult and larval ticks of mammals.

    Science.gov (United States)

    Espinaze, Marcela P A; Hellard, Eléonore; Horak, Ivan G; Cumming, Graeme S

    2016-03-01

    Ticks and tick-borne pathogens can have considerable impacts on the health of livestock, wildlife and people. Knowledge of tick-host preferences is necessary for both tick and pathogen control. Ticks were historically considered as specialist parasites, but the range of sampled host species has been limited, infestation intensity has not been included in prior analyses, and phylogenetic distances between hosts have not been previously considered. We used a large dataset of 35 604 individual collections and two host-specificity indices to assess the specificity of 61 South African tick species, as well as distinctions between adult and juvenile ticks, for 95 mammalian hosts. When accounting for host phylogeny, most adult and juvenile ticks behaved as generalists, with juveniles being significantly more generalist than adults. When we included the intensity of tick infestation, ticks exhibited a wider diversity of specificity in all life stages. Our results show that ticks of mammals in South Africa tend to behave largely as generalists and that adult ticks are more host-specific. More generally, our analysis shows that the incorporation of life-stage differences, infestation intensity and phylogenetic distances between hosts, as well as the use of more than one specificity index, can all contribute to a deeper understanding of host-parasite interactions.

  12. Exploratory Factor Analysis of SCL90-R Symptoms Relevant to Psychosis

    Directory of Open Access Journals (Sweden)

    Javad Amini

    2011-10-01

    Full Text Available "nObjective: Inconsistent results have been reported regarding the symptom dimensions relevant to psychosis in symptoms check list revised (SCL90-R, i.e., "psychoticism" and "paranoid ideation". Therefore, some studies have suggested different factor structures for questions of these two dimensions, and proposed two newly defined dimensions of "schizotypal signs" and "schizophrenia nuclear symptoms". We conducted an exploratory factor analysis on the items of these two dimensions in a general population sample in Iran. "nMethod: A total of 2158 subjects residing in Southern Tehran (capital of Iran were interviewed using the psychoticism and paranoid ideation questions in SCL90-R to assess severity of these symptom dimensions. Factor analysis was done through SAS 9.1.3 PROC FACTOR using Promax rotation (power=3 on the matrix of "polychoric correlations among variables" as the input data. "nResults: Two factors were retained by the proportion criterion. Considering loadings >= 0.5 as minimum criteria for factor loadings, 7 out of 10 questions  from psychoticism ,and 3 out of 6 questions from paranoid ideation were retained, and others were eliminated. The factor labels proposed by the questionnaire suited the extracted factors and were retained. Internal consistency for each of the dimensions was acceptable (Cronbach's alpha 0.7 and 0.74 for paranoid ideation and psychoticism respectively. Composite scores showed a half-normal distribution for both dimensions which is predictable for instruments that detect psychotic symptoms. "nConclusion: Results were in contrast with similar studies, and questioned them by suggesting a different factor structure obtained from a statistically large population. The population in a developing nation (Iran in this study and the socio-cultural differences in developed settings are the potential sources for discrepancies between this analysis and previous reports.

  13. Determining the Number of Factors to Retain in an Exploratory Factor Analysis Using Comparison Data of Known Factorial Structure

    Science.gov (United States)

    Ruscio, John; Roche, Brendan

    2012-01-01

    Exploratory factor analysis (EFA) is used routinely in the development and validation of assessment instruments. One of the most significant challenges when one is performing EFA is determining how many factors to retain. Parallel analysis (PA) is an effective stopping rule that compares the eigenvalues of randomly generated data with those for…

  14. Surface proteome analysis identifies platelet derived growth factor receptor-alpha as a critical mediator of transforming growth factor-beta-induced collagen secretion.

    Science.gov (United States)

    Heinzelmann, Katharina; Noskovičová, Nina; Merl-Pham, Juliane; Preissler, Gerhard; Winter, Hauke; Lindner, Michael; Hatz, Rudolf; Hauck, Stefanie M; Behr, Jürgen; Eickelberg, Oliver

    2016-05-01

    Fibroblasts are extracellular matrix-producing cells in the lung. Fibroblast activation by transforming growth factor-beta leads to myofibroblast-differentiation and increased extracellular matrix deposition, a hallmark of pulmonary fibrosis. While fibroblast function with respect to migration, invasion, and extracellular matrix deposition has been well-explored, little is known about the surface proteome of lung fibroblasts in general and its specific response to fibrogenic growth factors, in particular transforming growth factor-beta. We thus performed a cell-surface proteome analysis of primary human lung fibroblasts in presence/absence of transforming growth factor-beta, followed by characterization of our findings using FACS analysis, Western blot, and siRNA-mediated knockdown experiments. We identified 213 surface proteins significantly regulated by transforming growth factor-beta, platelet derived growth factor receptor-alpha being one of the top down-regulated proteins. Transforming growth factor beta-induced downregulation of platelet derived growth factor receptor-alpha induced upregulation of platelet derived growth factor receptor-beta expression and phosphorylation of Akt, a downstream target of platelet derived growth factor signaling. Importantly, collagen type V expression and secretion was strongly increased after forced knockdown of platelet derived growth factor receptor-alpha, an effect that was potentiated by transforming growth factor-beta. We therefore show previously underappreciated cross-talk of transforming growth factor-beta and platelet derived growth factor signaling in human lung fibroblasts, resulting in increased extracellular matrix deposition in a platelet derived growth factor receptor-alpha dependent manner. These findings are of particular importance for the treatment of lung fibrosis patients with high pulmonary transforming growth factor-beta activity.

  15. A Demonstration of the Impact of Outliers on the Decisions about the Number of Factors in Exploratory Factor Analysis

    Science.gov (United States)

    Liu, Yan; Zumbo, Bruno D.; Wu, Amery D.

    2012-01-01

    Previous studies have rarely examined the impact of outliers on the decisions about the number of factors to extract in an exploratory factor analysis. The few studies that have investigated this issue have arrived at contradictory conclusions regarding whether outliers inflated or deflated the number of factors extracted. By systematically…

  16. Factor Structure of the Student-Teacher Relationship Scale for Norwegian School-Age Children Explored with Confirmatory Factor Analysis

    Science.gov (United States)

    Drugli, May Britt; Hjemdal, Odin

    2013-01-01

    The validity of the Student-Teacher Relationship Scale (STRS) was examined in a national sample of 863 Norwegian schoolchildren in grades 1-7 (aged 6-13). The original factor structure of the STRS was tested by confirmatory factor analysis (CFA). The CFA results did not support the original three-factor structure of the STRS. Subsequent CFA of the…

  17. Total Factor Evaluation and Influencing Factor Analysis about Arable Land Productivity In Kaifeng City

    Institute of Scientific and Technical Information of China (English)

    Yongying HUANG; Liutao LIANG

    2016-01-01

    This paper uses DEA and Malmquist index to analyze the changes in arable land productivity in Kaifeng City during 2003- 2012.The results show that during 2003- 2011,Kaifeng’s arable land productivity was inefficient in DEA-terms,indicating that the production resources were not rationally used; in 2012,Kaifeng’s arable land productivity was efficient in DEA-terms,indicating that the ratio of input to output in 2012 was optimal; with the lapse of time,the Malmquist total factor productivity showed a trend of " increase-decrease-increase-decrease-increase",and the average technical efficiency was greater than 1,indicating that the agricultural production technology continues to advance. Using Tobit model,we analyze the factors that affect arable land productivity,and results show that the number of large and medium tractors and policy dummy variable have a significantly positive impact,while grain sown area has a significantly negative impact. Therefore,in order to improve arable land productivity in Kaifeng City,it is necessary to adhere to long-term stable agricultural support policy,improve the technological level of new agricultural modernization,increase investment in agricultural science and technology,and expand the sown area of cash crops.

  18. [Analysis of predisposing factors for pancreatic fistula after pancreaticoduodenectomy].

    Science.gov (United States)

    Chen, You-yi; Sun, Bei; Jiang, Hong-chi

    2013-08-01

    To analyze the predisposing factors for pancreatic fistula after pancreaticoduodenectomy. The clinical data of 323 patients undergoing pancreaticoduodenectomy from January 2007 to March 2012 were analyzed retrospectively. There were 185 male and 138 female patients, aging from 27 to 82 years. All the patients were devided into pancreatic fistula group (n = 52) and non-pancreatic fistula group (n = 271). Twenty variables, such as age, sex, primary disease, alcohol abuse, cholangitis, bilirubin, albumin, hemoglobin, operating time, blood loss, transfusion, texture of the remnant pancreas, diameter of wirsung, drainages of pancreatic duct, specialized group which potentially affect the incidence, were analyzed by t test for continuous variables and χ(2) test for discrete variables. The variables with significance (P fistula rate was 16.1% (52/323), 7 patients died for pancreatic fistula PF. In univariate analysis, primary disease, preoperative high bilirubin level, intraoperative blood loss and transfusion, texture of the remnant pancreas, diameter of wirsung, drainages of pancreatic duct, specialized group had significant difference between two groups (χ(2) = 4.072 to 9.008, P analysis revealed that primary disease (OR = 2.091, P = 0.001), texture of the remnant pancreas (OR = 7.715, P = 0.040), diameter of wirsung (OR = 5.405, P = 0.006), pancreatic duct stent (OR = 4.313, P = 0.001) and specialized group (OR = 6.404, P = 0.006) were independent risk factors in pancreatic fistula. Primary disease, texture of the remnant pancreas, diameter of wirsung, pancreatic duct stent and specialized group are independent risk factors in pancreatic fistula. With the purpose of decreasing pancreatic fistula rate after PD, it is necessary to operate meticulously and precisely, place external pancreatic duct stent and establish pancreatic center or specialized group.

  19. Please Show Yourself

    Institute of Scientific and Technical Information of China (English)

    刘艳丽; 孙俐

    2002-01-01

    We have experienced the social life since we were born. In the past days I have met a lot of people and affairs All those made me realize that there are masses of laughters and tears in our daily life Confidence, hardworking and determination will be the most three important factors if you like to get a shining future.

  20. A social work study using factor analysis on detecting important factors creating stress: A case study of hydro-power employees

    Directory of Open Access Journals (Sweden)

    Batoul Aminjafari

    2012-08-01

    Full Text Available The study performs an empirical study based on the implementation of factor analysis to detect different factors influencing people to have more stress in a hydropower unit located in city of Esfahan, Iran. The study performed the survey among all 81 people who were working for customer service section of this company and consisted of two parts, in the first part; we gather all private information such as age, gender, education, job experience, etc. through seven important questions. In the second part of the survey, there were 66 questions, which included all the relevant factors impacting employees' stress. Cronbach alpha was calculated as 0.946, which is well above the minimum acceptable level. The implementation of factor analysis has detected 16 important groups of factors and each factor is determined by an appropriate name. The results of our factor analysis show that among different factors, difficulty of working condition as well as work pressure are two most important factors increasing stress among employees.

  1. Emotional Intelligence and Nurse Recruitment: Rasch and confirmatory factor analysis of the trait emotional intelligence questionnaire short form.

    Science.gov (United States)

    Snowden, Austyn; Watson, Roger; Stenhouse, Rosie; Hale, Claire

    2015-12-01

    To examine the construct validity of the Trait Emotional Intelligence Questionnaire Short form. Emotional intelligence involves the identification and regulation of our own emotions and the emotions of others. It is therefore a potentially useful construct in the investigation of recruitment and retention in nursing and many questionnaires have been constructed to measure it. Secondary analysis of existing dataset of responses to Trait Emotional Intelligence Questionnaire Short form using concurrent application of Rasch analysis and confirmatory factor analysis. First year undergraduate nursing and computing students completed Trait Emotional Intelligence Questionnaire-Short Form in September 2013. Responses were analysed by synthesising results of Rasch analysis and confirmatory factor analysis. Participants (N = 938) completed Trait Emotional Intelligence Questionnaire Short form. Rasch analysis showed the majority of the Trait Emotional Intelligence Questionnaire-Short Form items made a unique contribution to the latent trait of emotional intelligence. Five items did not fit the model and differential item functioning (gender) accounted for this misfit. Confirmatory factor analysis revealed a four-factor structure consisting of: self-confidence, empathy, uncertainty and social connection. All five misfitting items from the Rasch analysis belonged to the 'social connection' factor. The concurrent use of Rasch and factor analysis allowed for novel interpretation of Trait Emotional Intelligence Questionnaire Short form. Much of the response variation in Trait Emotional Intelligence Questionnaire Short form can be accounted for by the social connection factor. Implications for practice are discussed. © 2015 John Wiley & Sons Ltd.

  2. Human and organisational factors in maritime accidents: analysis of collisions at sea using the HFACS.

    Science.gov (United States)

    Chauvin, Christine; Lardjane, Salim; Morel, Gaël; Clostermann, Jean-Pierre; Langard, Benoît

    2013-10-01

    Over the last decade, the shipping industry has implemented a number of measures aimed at improving its safety level (such as new regulations or new forms of team training). Despite this evolution, shipping accidents, and particularly collisions, remain a major concern. This paper presents a modified version of the Human Factors Analysis and Classification System, which has been adapted to the maritime context and used to analyse human and organisational factors in collisions reported by the Marine Accident and Investigation Branch (UK) and the Transportation Safety Board (Canada). The analysis shows that most collisions are due to decision errors. At the precondition level, it highlights the importance of the following factors: poor visibility and misuse of instruments (environmental factors), loss of situation awareness or deficit of attention (conditions of operators), deficits in inter-ship communications or Bridge Resource Management (personnel factors). At the leadership level, the analysis reveals the frequent planning of inappropriate operations and non-compliance with the Safety Management System (SMS). The Multiple Accident Analysis provides an important finding concerning three classes of accidents. Inter-ship communications problems and Bridge Resource Management deficiencies are closely linked to collisions occurring in restricted waters and involving pilot-carrying vessels. Another class of collisions is associated with situations of poor visibility, in open sea, and shows deficiencies at every level of the socio-technical system (technical environment, condition of operators, leadership level, and organisational level). The third class is characterised by non-compliance with the SMS. This study shows the importance of Bridge Resource Management for situations of navigation with a pilot on board in restricted waters. It also points out the necessity to investigate, for situations of navigation in open sea, the masters' decisions in critical conditions

  3. Fundamental Economic Factors That Affect Housing Prices: Comparative Analysis between Kosovo and Slovenia

    Directory of Open Access Journals (Sweden)

    Visar Hoxha

    2014-12-01

    Full Text Available The purpose of this study is to provide strategic implications for real estate appraisers and real estate managers to know the economic determinants of housing price dynamics in Kosovo. The fundamental economic determinants of housing prices, adopted from previous studies, are Gross Domestic Product growth, demographics, real interest rates, and construction costs. The research methodology used is quantitative factor analysis. The main question addressed is, whether the conventional fundamental determinants of housing prices, such as Gross Domestic Product per capita, real interest rates, demographic factors, and construction costs have driven the observed housing prices in Kosovo. By sampling the determinants of housing prices in Kosovo, the study shows their effects on housing price dynamics. The study shows that housing prices in Kosovo are significantly determined by the underlying conventional fundamentals. This is the first research that tries to determine whether the fundamental economic factors influence the housing prices in Kosovo.

  4. Is gestational diabetes mellitus an independent risk factor for macrosomia: a meta-analysis?

    Science.gov (United States)

    He, Xiu-Jie; Qin, Feng-Yun; Hu, Chuan-Lai; Zhu, Meng; Tian, Chao-Qing; Li, Li

    2015-04-01

    The aim of our meta-analysis was to explore whether gestational diabetes mellitus (GDM) is an independent risk factor for macrosomia or not. Three databases were systematically reviewed and reference lists of relevant articles were checked. Meta-analysis of published epidemiological studies (cohort and case-control studies) comparing whether GDM was associated with macrosomia. Calculations of pooled estimates were conducted in random-effect models. Heterogeneity was tested by using Chi square test and I (2) statistics. Publication bias was estimated from Egger's test (linear regression method) and Begg's test (rank correlation method). Twelve studies met the inclusion criteria, including five cohort studies and seven case-control studies. The meta-analysis showed that GDM was associated with macrosomia independent of other risk factors. The adjusted odds ratio was 1.71, 95% CI (1.52, 1.94) in random-effect model, stratified analyses showed no differences regarding different study design, quality grade, definition of macrosomia, location of study and number of confounding factors adjusted for. There was no indication of a publication bias either from the result of Egger's test or Begg's test. Our findings indicate that GDM should be considered as an independent risk factor for newborn macrosomia. To adequately evaluate the clinical evolution of GDM need to be carefully assessed and monitored.

  5. A confirmatory factor analysis of the PTSD checklist 5 in veteran and college student samples.

    Science.gov (United States)

    R Eddinger, Jasmine; E McDevitt-Murphy, Meghan

    2017-09-01

    An important change in the conceptualization of posttraumatic stress disorder (PTSD) has been the shift from a three-factor model used in the DSM-IV-TR to the current four-factor model used in DSM-5. Early research initially supported the three-factor model, but most recent data suggest a four-factor model provides the best fit. Still other research has examined evidence for a five-factor model that would include depression sequelae. By way of a confirmatory factor analysis, we demonstrate the reliability of DSM-5 PTSD criteria clustering in a sample of 124 OEF/OIF/OND Veterans treated at a VAMC (49% white, 89% men) and a sample of 737 college students (48% white, 78% women). All participants were trauma-exposed, and completed the PTSD Checklist for DSM-5. The current study shows both samples best support a five-factor model over two four factor models considered for the DSM-5, though none provided better than moderate fit. Implications of the current findings regarding the reliability of the new DSM-5 criteria of PTSD will be discussed. Copyright © 2017. Published by Elsevier B.V.

  6. Empirical Analysis of Factors Influencing Compensation for Non-commercial Forests under CVM

    Institute of Scientific and Technical Information of China (English)

    2012-01-01

    Based on non-commercial forests in Kunming City,this article conducts survey of 506 households in Kunming City to evaluate their willingness to pay ecological benefit of non-commercial forests,using Contingent Valuation Method(CVM);to analyze factors influencing their willingness to compensate for non-commercial forests,using multivariate statistical analysis method.The results show that income,educational level, housing ownership,outdoor exercise time,whether to be concerned about environmental problems,frequency of obtaining forest-related information monthly and whether understanding non-commercial forests or not,are the most principal factors influencing willingness to pay.

  7. Analysis of nucleon electromagnetic form factors from light-front holographic QCD: The spacelike region

    Science.gov (United States)

    Sufian, Raza Sabbir; de Téramond, Guy F.; Brodsky, Stanley J.; Deur, Alexandre; Dosch, Hans Günter

    2017-01-01

    We present a comprehensive analysis of the spacelike nucleon electromagnetic form factors and their flavor decomposition within the framework of light-front (LF) holographic QCD (LFHQCD) We show that the inclusion of the higher Fock components |q q q q q ¯ ⟩ has a significant effect on the spin-flip elastic Pauli form factor and almost zero effect on the spin-conserving Dirac form factor. We present light-front holographic QCD results for the proton and neutron form factors at any momentum transfer range, including asymptotic predictions, and show that our results agree with the available experimental data with high accuracy. In order to correctly describe the Pauli form factor we need an admixture of a five quark state of about 30% in the proton and about 40% in the neutron. We also extract the nucleon charge and magnetic radii and perform a flavor decomposition of the nucleon electromagnetic form factors. The free parameters needed to describe the experimental nucleon form factors are very few: two parameters for the probabilities of higher Fock states for the spin-flip form factor and a phenomenological parameter r , required to account for possible SU(6) spin-flavor symmetry breaking effects in the neutron, whereas the Pauli form factors are normalized to the experimental values of the anomalous magnetic moments. The covariant spin structure for the Dirac and Pauli nucleon form factors prescribed by AdS5 semiclassical gravity incorporates the correct twist scaling behavior from hard scattering and also leads to vector dominance at low energy.

  8. Risk factors for non-alcoholic fatty liver disease: a multivariate analysis

    Directory of Open Access Journals (Sweden)

    PANG Xueqin

    2014-09-01

    Full Text Available ObjectiveTo investigate the risk factors for non-alcoholic fatty liver disease (NAFLD and to provide a basis for the prevention of NAFLD. MethodsA total of 190 patients with NAFLD who visited the First Affiliated Hospital of Soochow University from January 2011 to January 2013 were included in the study. The investigated factors included sex, age, height, weight, dietary habit, smoking and alcohol consumption, educational level, occupation, intensity and duration of physical exercise, bedtime, previous history, and family history. Univariate and multivariate analyses were performed using SPSS 18.0 to determine the risk factors for NAFLD. ResultsThe univariate analysis showed that sex, age, dietary habit, occupation, body mass index (BMI, and educational level were associated with NAFLD (P<0.05. The logistic regression analysis showed that the risk factors for NAFLD were sex (OR=5.692, P=0.029, age (OR=0.423, P=0.041, occupation (OR=0.698, P=0.008, BMI (OR=3.939, P=0.003, educational level (OR=5.463, P=0.030, and dietary habit (OR=9.235, P=0.039. ConclusionNAFLD may be related to many factors, and corresponding preventive measures may reduce the development of NAFLD.

  9. Disc distraction shows evidence of regenerative potential in degenerated intervertebral discs as evaluated by protein expression, magnetic resonance imaging, and messenger ribonucleic acid expression analysis.

    Science.gov (United States)

    Guehring, Thorsten; Omlor, Georg W; Lorenz, Helga; Engelleiter, Karl; Richter, Wiltrud; Carstens, Claus; Kroeber, Markus

    2006-07-01

    An animal model of degeneration was used to determine the effects of disc distraction, and was evaluated with magnetic resonance imaging (MRI) as well as gene and protein expression levels. To investigate gene expression and MRI effects of distraction. Disc degeneration can result from hyper-physiologic loading. Distracted discs with degeneration showed histologic signs of tissue recovery. There were 18 rabbits that underwent 28 days of compression (200 N) to induce moderate disc degeneration followed by 28 days of distraction (120 N; attached and loaded distraction device) or sham distraction (attached but unloaded distraction device). Comparison was performed with 56 days of compressed discs without distraction. Quantitative outcome measures were MRI signal intensity and gene expression analysis to determine: messenger ribonucleic acid levels for extracellular matrix genes, including collagen 1, collagen 2, biglycan, decorin, aggrecan, fibromodulin, and osteonectin; and matrix-regulative genes, including matrix metalloproteinase-13, tissue-inhibitor of matrix metalloproteinase-1, and bone morphogenetic protein (BMP)-2. Immunohistology was performed for collagen 2 and BMP-2 to label cells semiquantitatively by staining of the cell-surrounding matrix. A total of 28 days of compression decreased signal intensity. Distraction over the same period reestablished physiologic signal intensity, however, a persistent reduction was found in sham distraction. Distraction resulted in gene expression up-regulation of collagen 1 (5.4-fold), collagen 2 (5.5-fold), biglycan (7.7-fold), and decorin (3.4-fold), while expression of fibromodulin (0.16-fold), tissue-inhibitor of matrix metalloproteinase-1 (0.05-fold), and BMP-2 (0.15-fold) was decreased, as compared with 56 days compression. Distracted discs showed more BMP-2 (19.67 vs. 3.67 in 56 days compression) and collagen 2 (18.67 vs. 11.33 in 56 days compression) positive cells per field. Distraction results in disc rehydration

  10. An Attempt to evaluate cerebral hemodynamics before and after neurosurgical treatment of Moyamoya disease by factor analysis

    Energy Technology Data Exchange (ETDEWEB)

    Nakazawa, Keiji; Ishii, Katsumi; Sakai, Fumihiko; Matsubayashi, Takashi (Kitasato Univ., Sagamihara, Kanagawa (Japan). School of Medicine)

    1991-09-01

    We made factor analysis on the data obtained by the radionuclide angiography to evaluate cerebral hemodynamics before and after neurosurgical treatment in a patient with Moyamoya disease (bilateral occlusion of internal carotid arteries). Tracer used was {sup 99m}Tc-RBC or {sup 99m}TcHSA. Before the neurosurgical treatment, the cerebral factor image obtained by the factor analysis showed defects in the right and the left frontal cerebral regions, and the venous factor image showed abnormal accumulations in the right and the left frontal cerebral regions. After Encephalo-Myo-Synangiosis and burr hole operations, defects in the right and the left frontal cerebral regions on the cerebral factor image were improved and abnormal accumulations in the right and the left frontal cerebral regions on the venous factor image disappeared. (author).

  11. Simultaneous Spectrophotometric Determination of Four Components including Acetaminophen by Taget Factor Analysis

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    UV Spectrophotometric Target Factor Analysis (TFA) was used for the simultaneous determination of four components (acetaminophen, guuaifenesin, caffeine, Chlorphenamine maleate) in cough syrup. The computer program of TFA is based on VC++ language. The difficulty of overlapping of absorption spectra of four compounds was overcome by this procedure. The experimental results show that the average recovery of each component is all in the range from 98.9% to 106.8% and each component obtains satisfactory results without any pre-separation.

  12. Analysis of predictor factors of limb amputation in patients with high-voltage electrical burns

    Directory of Open Access Journals (Sweden)

    Guillermo García Álvarez

    2015-09-01

    Full Text Available Background: Limb amputation is considered one of the most devastating consequences of electrical injury. Any factors that correlate with the degree of muscle damage can be used to predict the necessity of limb amputation. The aim of this study was to determine the factors that can be used to predict limb amputation in high-voltage electrically injured patients. Methods: Eighty-two high-voltage electrically injured patients were admitted to the Department of Plastic and Reconstructive Surgery and Burns of National Arzobispo Loayza Hospital on a 5 year period. A retrospective analysis of the possible related risk factors between amputation and non-amputation patients was performed. Results: A total of 68 patients were enrolled for analysis. Thirteen patients underwent limb amputations. Multivariate analysis of the risk factors between amputation and non-amputation groups showed statistical significance for first 24 hour creatine kinase-isoenzyme MB (CKMB level. A serum CK-MB level above 14,955 U/L predicted high risk of limb amputation with high specificity (84% and sensitivity (77%. Only one patient with a remarkable decrease of creatine kinase (CPKt and CK-MB levels after fasciotomy avoided a major limb amputation. Conclusion: Our results suggest that CPK-MB level is an independent factor for prediction of limb amputation in patients with high-voltage electrical burns. We suggest that the addition of CPK-MB evaluation to clinical symptom screening may be a valuable method for early detection of muscle damage.

  13. Analysis of Entrepreneurship barriers in Moravia-Silesian Region by VRIO and Factor analysis application

    OpenAIRE

    Šebestová, Jarmila

    2007-01-01

    The small and medium sized entrepreneurship is often considered to be as a phenomenon of our times. Why many authors dedicated their work on this field? The main reason is that SME make influence on society life and contribute to economic development of the region, where they establish their business. The same situation is in Moravia-Silesian region, where the fac-tor analysis being applied. VRIO and Porter's analysis were used to interpret clearly research findings.

  14. Genome-wide transcriptional analysis of Drosophila larvae infected by entomopathogenic nematodes shows involvement of complement, recognition and extracellular matrix proteins.

    Science.gov (United States)

    Arefin, Badrul; Kucerova, Lucie; Dobes, Pavel; Markus, Robert; Strnad, Hynek; Wang, Zhi; Hyrsl, Pavel; Zurovec, Michal; Theopold, Ulrich

    2014-01-01

    Heterorhabditis bacteriophora is an entomopathogenic nematode (EPN) which infects its host by accessing the hemolymph where it releases endosymbiotic bacteria of the species Photorhabdus luminescens. We performed a genome-wide transcriptional analysis of the Drosophila response to EPN infection at the time point at which the nematodes reached the hemolymph either via the cuticle or the gut and the bacteria had started to multiply. Many of the most strongly induced genes have been implicated in immune responses in other infection models. Mapping of the complete set of differentially regulated genes showed the hallmarks of a wound response, but also identified a large fraction of EPN-specific transcripts. Several genes identified by transcriptome profiling or their homologues play protective roles during nematode infections. Genes that positively contribute to controlling nematobacterial infections encode: a homolog of thioester-containing complement protein 3, a basement membrane component (glutactin), a recognition protein (GNBP-like 3) and possibly several small peptides. Of note is that several of these genes have not previously been implicated in immune responses.

  15. A Confirmatory Factor Analysis of the Structure of Abbreviated Math Anxiety Scale

    Directory of Open Access Journals (Sweden)

    Farahman Farrokhi

    2011-06-01

    Full Text Available "nObjective: The aim of this study is to explore the confirmatory factor analysis results of the Persian adaptation of Abbreviated Math Anxiety Scale (AMAS, proposed by Hopko, Mahadevan, Bare & Hunt. "nMethod: The validity and reliability assessments of the scale were performed on 298 college students chosen randomly from Tabriz University in Iran. The confirmatory factor analysis (CFA was carried out to determine the factor structures of the Persian version of AMAS. "nResults: As expected, the two-factor solution provided a better fit to the data than a single factor. Moreover, multi-group analyses showed that this two-factor structure was invariant across sex. Hence, AMAS provides an equally valid measure for use among college students. "nConclusions:  Brief AMAS demonstrates adequate reliability and validity. The AMAS scores can be used to compare symptoms of math anxiety between male and female students. The study both expands and adds support to the existing body of math anxiety literature.

  16. A Variant Form of the Human Deleted in Malignant Brain Tumor 1 (DMBT1) Gene Shows Increased Expression in Inflammatory Bowel Diseases and Interacts with Dimeric Trefoil Factor 3 (TFF3)

    DEFF Research Database (Denmark)

    Madsen, Jens; Sorensen, Grith Lykke; Nielsen, Ole Stig;

    2013-01-01

    The protein deleted in malignant brain tumors (DMBT1) and the trefoil factor (TFF) proteins have all been proposed to have roles in epithelial cell growth and cell differentiation and shown to be up regulated in inflammatory bowel diseases. A panel of monoclonal antibodies was raised against human......-1 showed no reaction. Hyb213-6 showed strong cytoplasmic staining in epithelial cells of both the small and large intestine whereas no staining was seen with Hyb213-1. The number of DMBT1(gp340) positive epithelial cells, stained with Hyb213-6, was significantly up regulated in inflammatory colon tissue...

  17. Citicoline in pre-clinical animal models of stroke: a meta-analysis shows the optimal neuroprotective profile and the missing steps for jumping into a stroke clinical trial.

    Science.gov (United States)

    Bustamante, Alejandro; Giralt, Dolors; Garcia-Bonilla, Lidia; Campos, Mireia; Rosell, Anna; Montaner, Joan

    2012-10-01

    The neuroprotective actions of citicoline have been documented for experimental stroke therapy. We used a systematic review and meta-analysis to assess this evidence. From 64 identified studies using citicoline in stroke animal models, only those describing ischemic occlusive stroke and reporting data on infarct volume and/or neurological outcome were included (14 studies, 522 animals). Overall, the quality of the studies was modest (5, 4-6), while the absence of studies involving animals with co-morbidities, females, old animals or strain differences indicated that studies did not fulfill the STAIR recommendations. Weighted mean difference meta-analysis showed citicoline to reduce infarct volume by 27.8% [(19.9%, 35.6%); p citicoline effect on reducing infarct volume was higher in proximal occlusive models of middle cerebral artery (MCA) compared with distal occlusion. Moreover, the efficacy was superior using multiple doses than single dose and when a co-treatment was administered compared with citicoline monotherapy, the only independent factor identified in the meta-regression. Citicoline improved neurological deficit by 20.2% [(6.8%, 33.7%); p = 0.015], but only four studies including 176 animals reported these data. In conclusion, this meta-analysis provides evidence of citicoline efficacy in stroke animal models and shows the optimal neuroprotective profile and the missing experimental requirements before jumping into clinical trials.

  18. The Health Show

    OpenAIRE

    Swann, David

    2011-01-01

    Dr David Swann interviewed on The Health Show, Series 1, Episode 5, 2011 for BBC World about the award-winning 21st Century Nursing Bag. BBC World News reaches 241million people every week, available in 296 million homes, 1.8 million hotel rooms and has the highest average viewership on a weekday of any international news channel. The Health Show is a new 26-part series for BBC World News covering the most important news stories from around the world.

  19. Dispersive analysis of the scalar form factor of the nucleon

    CERN Document Server

    Hoferichter, M; Kubis, B; Meißner, U -G

    2012-01-01

    Based on the recently proposed Roy-Steiner equations for pion-nucleon scattering, we derive a system of coupled integral equations for the pi pi --> N-bar N and K-bar K --> N-bar N S-waves. These equations take the form of a two-channel Muskhelishvili-Omnes problem, whose solution in the presence of a finite matching point is discussed. We use these results to update the dispersive analysis of the scalar form factor of the nucleon fully including K-bar K intermediate states. In particular, we determine the correction Delta_sigma=sigma(2M_pi^2)-sigma_{pi N}, which is needed for the extraction of the pion-nucleon sigma term from pi N scattering, as a function of pion-nucleon subthreshold parameters and the pi N coupling constant.

  20. Theory of sampling: four critical success factors before analysis.

    Science.gov (United States)

    Wagner, Claas; Esbensen, Kim H

    2015-01-01

    Food and feed materials characterization, risk assessment, and safety evaluations can only be ensured if QC measures are based on valid analytical data, stemming from representative samples. The Theory of Sampling (TOS) is the only comprehensive theoretical framework that fully defines all requirements to ensure sampling correctness and representativity, and to provide the guiding principles for sampling in practice. TOS also defines the concept of material heterogeneity and its impact on the sampling process, including the effects from all potential sampling errors. TOS's primary task is to eliminate bias-generating errors and to minimize sampling variability. Quantitative measures are provided to characterize material heterogeneity, on which an optimal sampling strategy should be based. Four critical success factors preceding analysis to ensure a representative sampling process are presented here.

  1. MULTIDIMENSIONAL RELIABILITY OF INSTRUMENT STUDENTS’ SATISFACTION USING CONFIRMATORY FACTOR ANALYSIS

    Directory of Open Access Journals (Sweden)

    Gaguk Margono

    2014-11-01

    Full Text Available The purpose of this paper is to compare unidimensional reliability and multidimensional reliability of instrument students’ satisfaction as an internal costumer. Multidimensional reliability measurement is rarely used in the field of research. Multidimensional reliability is estimated by using Confirmatory Factor Analysis (CFA on the Structural Equation Model (SEM. Measurements and calculations are described in this article using instrument students’ satisfaction as an internal costumer. Survey method used in this study and sampling used simple random sampling. This instrument has been tried out to 173 students. The result is concluded that the measuringinstrument of students’ satisfaction as an internal costumer by using multidimensional reliability coefficient has higher accuracy when compared with a unidimensional reliability coefficient. Expected in advanced research used another formula multidimensional reliability, including when using SEM.

  2. Bayesian analysis of factors associated with fibromyalgia syndrome subjects

    Science.gov (United States)

    Jayawardana, Veroni; Mondal, Sumona; Russek, Leslie

    2015-01-01

    Factors contributing to movement-related fear were assessed by Russek, et al. 2014 for subjects with Fibromyalgia (FM) based on the collected data by a national internet survey of community-based individuals. The study focused on the variables, Activities-Specific Balance Confidence scale (ABC), Primary Care Post-Traumatic Stress Disorder screen (PC-PTSD), Tampa Scale of Kinesiophobia (TSK), a Joint Hypermobility Syndrome screen (JHS), Vertigo Symptom Scale (VSS-SF), Obsessive-Compulsive Personality Disorder (OCPD), Pain, work status and physical activity dependent from the "Revised Fibromyalgia Impact Questionnaire" (FIQR). The study presented in this paper revisits same data with a Bayesian analysis where appropriate priors were introduced for variables selected in the Russek's paper.

  3. Statistical Analysis of Factors Affecting Child Mortality in Pakistan.

    Science.gov (United States)

    Ahmed, Zoya; Kamal, Asifa; Kamal, Asma

    2016-06-01

    Child mortality is a composite indicator reflecting economic, social, environmental, healthcare services, and their delivery situation in a country. Globally, Pakistan has the third highest burden of fetal, maternal, and child mortality. Factors affecting child mortality in Pakistan are investigated by using Binary Logistic Regression Analysis. Region, education of mother, birth order, preceding birth interval (the period between the previous child birth and the index child birth), size of child at birth, and breastfeeding and family size were found to be significantly important with child mortality in Pakistan. Child mortality decreased as level of mother's education, preceding birth interval, size of child at birth, and family size increased. Child mortality was found to be significantly higher in Balochistan as compared to other regions. Child mortality was low for low birth orders. Child survival was significantly higher for children who were breastfed as compared to those who were not.

  4. Accelerated Gibbs Sampling for Infinite Sparse Factor Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Andrzejewski, D M

    2011-09-12

    The Indian Buffet Process (IBP) gives a probabilistic model of sparse binary matrices with an unbounded number of columns. This construct can be used, for example, to model a fixed numer of observed data points (rows) associated with an unknown number of latent features (columns). Markov Chain Monte Carlo (MCMC) methods are often used for IBP inference, and in this technical note, we provide a detailed review of the derivations of collapsed and accelerated Gibbs samplers for the linear-Gaussian infinite latent feature model. We also discuss and explain update equations for hyperparameter resampling in a 'full Bayesian' treatment and present a novel slice sampler capable of extending the accelerated Gibbs sampler to the case of infinite sparse factor analysis by allowing the use of real-valued latent features.

  5. [Rhabdomyolysis in a Bipolar Adolescent. Analysis of Associated Factors].

    Science.gov (United States)

    Restrepo, Diana; Montoya, Pablo; Giraldo, Laura; Gaviria, Génesis; Mejía, Catalina

    2015-01-01

    To describe a case of rhabdomyolysis associated with the use of quetiapine and lamotrigine in an adolescent treated for bipolar disorder. Description of the clinical case, analysis of the associated factors and a non-systematic review of the relevant literature. An 18 year old male, with bipolar disorder and treated pharmacologically with quetiapine and lamotrigine, after two weeks of physical activity presents with rhabdomyolysis. Quetiapine and exercise have been associated with rhabdomyolysis. The mediator mechanism of this association has not been found, although it has been established that there is neuromuscular dysfunction and an increase in sarcomere permeability. This clinical case allowed the complex interaction between antipsychotic agents and increased physical activity to be observed in a psychiatric adolescent patient, as well as the appearance of a potentially lethal medical complication. Copyright © 2014 Asociación Colombiana de Psiquiatría. Publicado por Elsevier España. All rights reserved.

  6. [Cephalometric standards of adult Greeks (Ricketts' ten factor analysis)].

    Science.gov (United States)

    Kavadia, S; Topouzelis, N; Sidiropoulou, S; Markovitsi, H; Kolokythas, G

    1989-09-01

    In this study the ten factors which compose the Ricketts' summary analysis were measured on 81 lateral skull radiographs of adult Greeks (41 males and 40 females) with normal occlusion and harmonious face to establish cephalometric standards. The mean value, standard deviation, standard error of the mean, minimum and maximum values as well as the range of each variable were found and discussed for each sex separately as well as for the whole sample. The main conclusion of the study is that adult Greeks with normal occlusion and harmonious face present: a tendency to the brachy facial vertical type, a small retroposition of the maxilla and of the lower lip and prominent and labialy proclined lower incisors.

  7. Expression analysis of TALE family transcription factors during avian development.

    Science.gov (United States)

    Coy, Sarah E; Borycki, Anne-Gaëlle

    2010-04-01

    The TALE family of homeodomain containing transcription factors consists of the Meis, Prep and Tgif, and the Pbx subfamily of proteins. Several TALE orthologues have been identified in amniotes, but no comprehensive analysis of their expression pattern during embryogenesis has been performed. Here, we report on TALE gene expression in the avian embryo. During embryonic development, Pbx genes are predominantly expressed in the neural ectoderm and paraxial mesoderm, although Pbx3 is restricted to the intermediate and lateral mesoderm, and anterior central nervous system. Members of the Meis, Prep, and Tgif subfamilies are expressed at high levels in the paraxial mesoderm, and display differential expression along the anterior-posterior and dorsoventral axes of the developing neural tube. Overall the expression patterns reported in this study are consistent with the known function of the TALE gene family in controlling early patterning of limb, neural tube and paraxial mesoderm tissues during embryogenesis.

  8. Risk factors for retained surgical items: a meta-analysis and proposed risk stratification system.

    Science.gov (United States)

    Moffatt-Bruce, Susan D; Cook, Charles H; Steinberg, Steven M; Stawicki, Stanislaw P

    2014-08-01

    Retained surgical items (RSI) are designated as completely preventable "never events". Despite numerous case reports, clinical series, and expert opinions few studies provide quantitative insight into RSI risk factors and their relative contributions to the overall RSI risk profile. Existing case-control studies lack the ability to reliably detect clinically important differences within the long list of proposed risks. This meta-analysis examines the best available data for RSI risk factors, seeking to provide a clinically relevant risk stratification system. Nineteen candidate studies were considered for this meta-analysis. Three retrospective, case-control studies of RSI-related risk factors contained suitable group comparisons between patients with and without RSI, thus qualifying for further analysis. Comprehensive Meta-Analysis 2.0 (BioStat, Inc, Englewood, NJ) software was used to analyze the following "common factor" variables compiled from the above studies: body-mass index, emergency procedure, estimated operative blood loss >500 mL, incorrect surgical count, lack of surgical count, >1 subprocedure, >1 surgical team, nursing staff shift change, operation "afterhours" (i.e., between 5 PM and 7 AM), operative time, trainee presence, and unexpected intraoperative factors. We further stratified resulting RSI risk factors into low, intermediate, and high risk. Despite the fact that only between three and six risk factors were associated with increased RSI risk across the three studies, our analysis of pooled data demonstrates that seven risk factors are significantly associated with increased RSI risk. Variables found to elevate the RSI risk include intraoperative blood loss >500 mL (odds ratio [OR] 1.6); duration of operation (OR 1.7); >1 subprocedure (OR 2.1); lack of surgical counts (OR 2.5); >1 surgical team (OR 3.0); unexpected intraoperative factors (OR 3.4); and incorrect surgical count (OR 6.1). Changes in nursing staff, emergency surgery, body

  9. Physics Metacognition Inventory Part Ii: Confirmatory Factor Analysis and Rasch Analysis

    Science.gov (United States)

    Taasoobshirazi, Gita; Bailey, MarLynn; Farley, John

    2015-01-01

    The Physics Metacognition Inventory was developed to measure physics students' metacognition for problem solving. In one of our earlier studies, an exploratory factor analysis provided evidence of preliminary construct validity, revealing six components of students' metacognition when solving physics problems including knowledge of cognition,…

  10. Physics Metacognition Inventory Part Ii: Confirmatory Factor Analysis and Rasch Analysis

    Science.gov (United States)

    Taasoobshirazi, Gita; Bailey, MarLynn; Farley, John

    2015-01-01

    The Physics Metacognition Inventory was developed to measure physics students' metacognition for problem solving. In one of our earlier studies, an exploratory factor analysis provided evidence of preliminary construct validity, revealing six components of students' metacognition when solving physics problems including knowledge of cognition,…

  11. A case study on the identification of confounding factors for gene disease association analysis.

    Science.gov (United States)

    Han, Bin; Xie, Ruifei; Wu, Shixiu; Li, Lihua; Zhu, Lei

    2015-01-01

    Variation in the expression of genes arises from a variety of sources. It is important to remove sources of variation between arrays of non-biological origin. Non-biological variation, caused by lurking confounding factors, usually attracts little attention, although it may substantially influence the expression profile of genes. In this study, we proposed a method which is able to identify the potential confounding factors and highlight the non-biological variations. We also developed methods and statistical tests to study the confounding factors and their influence on the homogeneity of microarray data, gene selection, and disease classification. We explored an ovarian cancer gene expression profile and showed that data batches and arraying conditions are two confounding factors. Their influence on the homogeneity of data, gene selection, and disease classification are statistically analyzed. Experiments showed that after normalization, their influences were removed. Comparative studies further showed that the data became more homogeneous and the classification quality was improved. This research demonstrated that identifying and reducing the impact of confounding factors is paramount in making sense of gene-disease association analysis.

  12. Factor Analysis of Drawings: Application to College Student Models of the Greenhouse Effect

    Science.gov (United States)

    Libarkin, Julie C.; Thomas, Stephen R.; Ording, Gabriel

    2015-01-01

    Exploratory factor analysis was used to identify models underlying drawings of the greenhouse effect made by over 200 entering university freshmen. Initial content analysis allowed deconstruction of drawings into salient features, with grouping of these features via factor analysis. A resulting 4-factor solution explains 62% of the data variance,…

  13. Genome wide analysis of stress responsive WRKY transcription factors in Arabidopsis thaliana

    Directory of Open Access Journals (Sweden)

    Shaiq Sultan

    2016-04-01

    Full Text Available WRKY transcription factors are a class of DNA-binding proteins that bind with a specific sequence C/TTGACT/C known as W-Box found in promoters of genes which are regulated by these WRKYs. From previous studies, 43 different stress responsive WRKY transcription factors in Arabidopsis thaliana, identified and then categorized in three groups viz., abiotic, biotic and both of these stresses. A comprehensive genome wide analysis including chromosomal localization, gene structure analysis, multiple sequence alignment, phylogenetic analysis and promoter analysis of these WRKY genes was carried out in this study to determine the functional homology in Arabidopsis. This analysis led to the classification of these WRKY family members into 3 major groups and subgroups and showed evolutionary relationship among these groups on the base of their functional WRKY domain, chromosomal localization and intron/exon structure. The proposed groups of these stress responsive WRKY genes and annotation based on their position on chromosomes can also be explored to determine their functional homology in other plant species in relation to different stresses. The result of the present study provides indispensable genomic information for the stress responsive WRKY transcription factors in Arabidopsis and will pave the way to explain the precise role of various AtWRKYs in plant growth and development under stressed conditions.

  14. A Fashion Show

    Institute of Scientific and Technical Information of China (English)

    2005-01-01

    <正>Story: The yearly fashion show day.The children take turns to walk on the stage and show the class their favorite clothes.Now it’s Joe’s and Phoebe’s turn.Joe walks on the stage and says,“My shorts are blue.Do you like my blue shorts?”On the other side of the stage, Phoebe is wearing her favorite pink skirt.“My skirt is pink.Do you like my pink skirt?”asks

  15. Characterization and Genetic Analysis of a Novel Light-Dependent Lesion Mimic Mutant, lm3, Showing Adult-Plant Resistance to Powdery Mildew in Common Wheat.

    Directory of Open Access Journals (Sweden)

    Fang Wang

    Full Text Available Lesion mimics (LMs that exhibit spontaneous disease-like lesions in the absence of pathogen attack might confer enhanced plant disease resistance to a wide range of pathogens. The LM mutant, lm3 was derived from a single naturally mutated individual in the F1 population of a 3-1/Jing411 cross, backcrossed six times with 3-1 as the recurrent parent and subsequently self-pollinated twice. The leaves of young seedlings of the lm3 mutant exhibited small, discrete white lesions under natural field conditions. The lesions first appeared at the leaf tips and subsequently expanded throughout the entire leaf blade to the leaf sheath. The lesions were initiated through light intensity and day length. Histochemical staining revealed that lesion formation might reflect programmed cell death (PCD and abnormal accumulation of reactive oxygen species (ROS. The chlorophyll content in the mutant was significantly lower than that in wildtype, and the ratio of chlorophyll a/b was increased significantly in the mutant compared with wildtype, indicating that lm3 showed impairment of the biosynthesis or degradation of chlorophyll, and that Chlorophyll b was prone to damage during lesion formation. The lm3 mutant exhibited enhanced resistance to wheat powdery mildew fungus (Blumeria graminis f. sp. tritici; Bgt infection, which was consistent with the increased expression of seven pathogenesis-related (PR and two wheat chemically induced (WCI genes involved in the defense-related reaction. Genetic analysis showed that the mutation was controlled through a single partially dominant gene, which was closely linked to Xbarc203 on chromosome 3BL; this gene was delimited to a 40 Mb region between SSR3B450.37 and SSR3B492.6 using a large derived segregating population and the available Chinese Spring chromosome 3B genome sequence. Taken together, our results provide information regarding the identification of a novel wheat LM gene, which will facilitate the additional fine

  16. Exploratory factor analysis and reliability analysis with missing data: A simple method for SPSS users

    Directory of Open Access Journals (Sweden)

    Bruce Weaver

    2014-09-01

    Full Text Available Missing data is a frequent problem for researchers conducting exploratory factor analysis (EFA or reliability analysis. The SPSS FACTOR procedure allows users to select listwise deletion, pairwise deletion or mean substitution as a method for dealing with missing data. The shortcomings of these methods are well-known. Graham (2009 argues that a much better way to deal with missing data in this context is to use a matrix of expectation maximization (EM covariances(or correlations as input for the analysis. SPSS users who have the Missing Values Analysis add-on module can obtain vectors ofEM means and standard deviations plus EM correlation and covariance matrices via the MVA procedure. But unfortunately, MVA has no /MATRIX subcommand, and therefore cannot write the EM correlations directly to a matrix dataset of the type needed as input to the FACTOR and RELIABILITY procedures. We describe two macros that (in conjunction with an intervening MVA command carry out the data management steps needed to create two matrix datasets, one containing EM correlations and the other EM covariances. Either of those matrix datasets can then be used asinput to the FACTOR procedure, and the EM correlations can also be used as input to RELIABILITY. We provide an example that illustrates the use of the two macros to generate the matrix datasets and how to use those datasets as input to the FACTOR and RELIABILITY procedures. We hope that this simple method for handling missing data will prove useful to both students andresearchers who are conducting EFA or reliability analysis.

  17. Structural analysis of the alcohol acyltransferase protein family from Cucumis melo shows that enzyme activity depends on an essential solvent channel.

    Science.gov (United States)

    Galaz, Sebastián; Morales-Quintana, Luis; Moya-León, María Alejandra; Herrera, Raúl

    2013-03-01

    Alcohol acyltransferases (AAT) play a key role in ester biosynthesis. In Cucumis melo var. cantalupensis, AATs are encoded by a gene family of four members (CmAAT1-4). CmAAT1, CmAAT3 and CmAAT4 are capable of synthesizing esters, with CmAAT1 the most active. CmAAT2 is inactive and has an Ala268 residue instead of a threonine which is present in all other active AATs, although the role of this residue is still unclear. The present work aims to understand the molecular mechanism involved in ester biosynthesis in melon fruit and to clarify the importance of the Ala268 residue. First, structural models for each protein were built by comparative modelling methodology. Afterwards, conformational interaction between the protein and several ligands, alcohols and acyl-CoAs was explored by molecular docking and molecular dynamics simulation. Structural analysis showed that CmAATs share a similar structure. Also, well-defined solvent channels were described in the CmAATs except for CmAAT2 which does not have a proper channel and instead has a small pocket around Ala268. Residues of the catalytic HxxxD motif interact with substrates within the solvent channel, with Ser363 also important. Strong binding interaction energies were described for the best substrate couple of each CmAAT (hexyl-, benzyl- and cinnamyl-acetate for CmAAT1, 3 and 4 respectively). CmAAT1 and CmAAT2 protein surfaces share similar electrostatic potentials; nevertheless the entrance channels for the substrates differ in location and electrostatic character, suggesting that Ala268 might be responsible for that. This could partly explain the major differences in activity reported for these two enzymes.

  18. Transcriptomic analysis of the interaction between Helianthus annuus and its obligate parasite Plasmopara halstedii shows single nucleotide polymorphisms in CRN sequences

    Directory of Open Access Journals (Sweden)

    Gouzy Jérôme

    2011-10-01

    Full Text Available Abstract Background Downy mildew in sunflowers (Helianthus annuus L. is caused by the oomycete Plasmopara halstedii (Farl. Berlese et de Toni. Despite efforts by the international community to breed mildew-resistant varieties, downy mildew remains a major threat to the sunflower crop. Very few genomic, genetic and molecular resources are currently available to study this pathogen. Using a 454 sequencing method, expressed sequence tags (EST during the interaction between H. annuus and P. halstedii have been generated and a search was performed for sites in putative effectors to show polymorphisms between the different races of P. halstedii. Results A 454 pyrosequencing run of two infected sunflower samples (inbred lines XRQ and PSC8 infected with race 710 of P. halstedii, which exhibit incompatible and compatible interactions, respectively generated 113,720 and 172,107 useable reads. From these reads, 44,948 contigs and singletons have been produced. A bioinformatic portal, HP, was specifically created for in-depth analysis of these clusters. Using in silico filtering, 405 clusters were defined as being specific to oomycetes, and 172 were defined as non-specific oomycete clusters. A subset of these two categories was checked using PCR amplification, and 86% of the tested clusters were validated. Twenty putative RXLR and CRN effectors were detected using PSI-BLAST. Using corresponding sequences from four races (100, 304, 703 and 710, 22 SNPs were detected, providing new information on pathogen polymorphisms. Conclusions This study identified a large number of genes that are expressed during H. annuus/P. halstedii compatible or incompatible interactions. It also reveals, for the first time, that an infection mechanism exists in P. halstedii similar to that in other oomycetes associated with the presence of putative RXLR and CRN effectors. SNPs discovered in CRN effector sequences were used to determine the genetic distances between the four races

  19. Weightlifter Lumbar Physiology Health Influence Factor Analysis of Sports Medicine.

    Science.gov (United States)

    Zhang, Xiangyang

    2015-01-01

    Chinese women's weightlifting project has been in the advanced world level, suggests that the Chinese coaches and athletes have many successful experience in the weight lifting training. Little weight lifting belongs to high-risk sports, however, to the lumbar spine injury, some young good athletes often due to lumbar trauma had to retire, and the national investment and athletes toil is regret things. This article from the perspective of sports medicine, weightlifting athletes training situation analysis and put forward Suggestions, aimed at avoiding lumbar injury, guarantee the health of athletes. In this paper, first of all to 50 professional women's weightlifting athletes doing investigation, found that 82% of the athletes suffer from lumbar disease symptoms, the reason is mainly composed of lumbar strain, intensity is too large, motion error caused by three factors. From the Angle of sports medicine and combined with the characteristics of the structure of human body skeleton athletes lumbar structural mechanics analysis, find out the lumbar force's two biggest technical movement, study, and regulate the action standard, so as to minimize lumbar force, for athletes to contribute to the health of the lumbar spine.

  20. Efficiency limit factor analysis for the Francis-99 hydraulic turbine

    Science.gov (United States)

    Zeng, Y.; Zhang, L. X.; Guo, J. P.; Guo, Y. K.; Pan, Q. L.; Qian, J.

    2017-01-01

    The energy loss in hydraulic turbine is the most direct factor that affects the efficiency of the hydraulic turbine. Based on the analysis theory of inner energy loss of hydraulic turbine, combining the measurement data of the Francis-99, this paper calculates characteristic parameters of inner energy loss of the hydraulic turbine, and establishes the calculation model of the hydraulic turbine power. Taken the start-up test conditions given by Francis-99 as case, characteristics of the inner energy of the hydraulic turbine in transient and transformation law are researched. Further, analyzing mechanical friction in hydraulic turbine, we think that main ingredients of mechanical friction loss is the rotation friction loss between rotating runner and water body, and defined as the inner mechanical friction loss. The calculation method of the inner mechanical friction loss is given roughly. Our purpose is that explore and research the method and way increasing transformation efficiency of water flow by means of analysis energy losses in hydraulic turbine.

  1. On not showing scalps

    DEFF Research Database (Denmark)

    Marselis, Randi Lorenz

    2016-01-01

    proposed by Janet Marstine, the editor of the Routledge Companion to Museum Ethics, I show how the museum succeeded in engaging users in questions of museum ethics. However, this specific debate on human remains in museums developed into an encounter between a global, museological discourse...

  2. Violence and TV Shows

    OpenAIRE

    ÖZTÜRK, Yrd. Doç. Dr. Şinasi

    2008-01-01

    This study aims to discuss theories on theviolent effects of TV shows on viewers, especiallyon children. Therefore, this study includes a briefdiscussion of definitions of violence, discussionof violence theories, main results of researcheson televised violence, measuring TV violence,perception of televised violence, individualdifferences and reactions to TV violence,aggressiveness and preferences for TV violence.

  3. Honored Teacher Shows Commitment.

    Science.gov (United States)

    Ratte, Kathy

    1987-01-01

    Part of the acceptance speech of the 1985 National Council for the Social Studies Teacher of the Year, this article describes the censorship experience of this honored social studies teacher. The incident involved the showing of a videotape version of the feature film entitled "The Seduction of Joe Tynan." (JDH)

  4. A Visionary Show

    Institute of Scientific and Technical Information of China (English)

    2009-01-01

    Seduction. Distinction. Relax. Pulsation. These are the "style universes" on display at Première Vision, heralded as "The World’s Premiere Fabric Show." Started more than 35 years ago by 15 French weavers, Première Vision has expanded beyond its

  5. Honored Teacher Shows Commitment.

    Science.gov (United States)

    Ratte, Kathy

    1987-01-01

    Part of the acceptance speech of the 1985 National Council for the Social Studies Teacher of the Year, this article describes the censorship experience of this honored social studies teacher. The incident involved the showing of a videotape version of the feature film entitled "The Seduction of Joe Tynan." (JDH)

  6. Factors associated with a more rapid recovery after anterior cruciate ligament reconstruction using multivariate analysis.

    Science.gov (United States)

    Scherer, Job E; Moen, Maarten H; Weir, Adam; Schmikli, Sandor L; Tamminga, Rob; van der Hoeven, Henk

    2016-01-01

    In the past, several studies investigated factors that are prognostic or associated with outcome after anterior cruciate ligament (ACL) reconstruction. A recent review showed that only limited evidence is available for most studied factors, and that insufficient analysis methods were used commonly. Therefore, the aim of this study was to add more weight to the existing evidence, about factors that are associated with a more rapid outcome after ACL reconstruction. The second aim was to use multivariate analysis to study the possible factors independently. A cohort study was conducted with a follow-up of six months. Before surgery, patient variables were scored. Surgical variables were scored during arthroscopic ACL reconstructions with a single-bundle technique and hamstring autograft. The Lysholm score and subscales of the Knee Injury Osteoarthritis Outcome Score (KOOS) were assessed six months post surgery. A multiple analysis of variance (ANOVA) model was used to identify prognostic factors for outcome. In total, 118 patients were included. Patients, aged ≤30years, with a subjective knee score ≥ six, with normal flexion range of motion (ROM) of the knee, with flexion and extension strength deficit of ≤20%, and those with no previous knee surgery in the same knee at baseline scored significantly higher on outcome after multivariate analysis. No significant effect of surgical factors could be found. Younger age, higher subjective knee score, normal knee flexion, normal knee flexion and extension strength, and no previous knee surgery in the patients' history at baseline are associated with a more rapid recovery after ACL reconstruction. Level III, prognostic study. Copyright © 2015 Elsevier B.V. All rights reserved.

  7. Immunoproteomic to analysis the pathogenicity factors in leukopenia caused by Klebsiella pneumonia bacteremia.

    Directory of Open Access Journals (Sweden)

    Haiyan Liu

    Full Text Available Incidences of leukopenia caused by bacteremia have increased significantly and it is associated with prolonged hospital stay and increased cost. Immunoproteomic is a promising method to identify pathogenicity factors of different diseases. In the present study, we used immunoproteomic to analysis the pathogenicity factors in leukopenia caused by Klebsiella Pneumonia bacteremia. Approximately 40 protein spots localized in the 4 to 7 pI range were detected on two-dimensional electrophoresis gels, and 6 differentially expressed protein spots between 10 and 170 kDa were identified. Pathogenicity factors including S-adenosylmethionine synthetase, pyruvate dehydrogenase, glutathione synthetase, UDP-galactose-4-epimerase, acetate kinase A and elongation factor tu (EF-Tu. In validation of the pathogenicity factor, we used western blotting to show that Klebsiella pneumonia had higher (EF-Tu expression when they accompanied by leukopenia rather than leukocytosis. Thus, we report 6 pathogenicity factors of leukopenia caused by Klebsiella pneumonia bacteremia, including 5 housekeeping enzymes and EF-Tu. We suggest EF-Tu could be a potential pathogenicity factor for leukopenia caused by Klebsiella pneumonia.

  8. Factor Analysis of the Mystical Experience Questionnaire: A Study of Experiences Occasioned by the Hallucinogen Psilocybin.

    Science.gov (United States)

    Maclean, Katherine A; Leoutsakos, Jeannie-Marie S; Johnson, Matthew W; Griffiths, Roland R

    2012-12-01

    A large body of historical evidence describes the use of hallucinogenic compounds, such as psilocybin mushrooms, for religious purposes. But few scientific studies have attempted to measure or characterize hallucinogen-occasioned spiritual experiences. The present study examined the factor structure of the Mystical Experience Questionnaire (MEQ), a self-report measure that has been used to assess the effects of hallucinogens in laboratory studies. Participants (N=1602) completed the 43-item MEQ in reference to a mystical or profound experience they had had after ingesting psilocybin. Exploratory factor analysis of the MEQ retained 30 items and revealed a 4-factor structure covering the dimensions of classic mystical experience: unity, noetic quality, sacredness (F1); positive mood (F2); transcendence of time/space (F3); and ineffability (F4). MEQ factor scores showed good internal reliability and correlated with the Hood Mysticism Scale, indicating convergent validity. Participants who endorsed having had a mystical experience on psilocybin, compared to those who did not, had significantly higher factor scores, indicating construct validity. The 4-factor structure was confirmed in a second sample (N=440) and demonstrated superior fit compared to alternative models. The results provide initial evidence of the validity, reliability, and factor structure of a 30-item scale for measuring single, hallucinogen-occasioned mystical experiences, which may be a useful tool in the scientific study of mysticism.

  9. Application of classification algorithms for analysis of road safety risk factor dependencies.

    Science.gov (United States)

    Kwon, Oh Hoon; Rhee, Wonjong; Yoon, Yoonjin

    2015-02-01

    Transportation continues to be an integral part of modern life, and the importance of road traffic safety cannot be overstated. Consequently, recent road traffic safety studies have focused on analysis of risk factors that impact fatality and injury level (severity) of traffic accidents. While some of the risk factors, such as drug use and drinking, are widely known to affect severity, an accurate modeling of their influences is still an open research topic. Furthermore, there are innumerable risk factors that are waiting to be discovered or analyzed. A promising approach is to investigate historical traffic accident data that have been collected in the past decades. This study inspects traffic accident reports that have been accumulated by the California Highway Patrol (CHP) since 1973 for which each accident report contains around 100 data fields. Among them, we investigate 25 fields between 2004 and 2010 that are most relevant to car accidents. Using two classification methods, the Naive Bayes classifier and the decision tree classifier, the relative importance of the data fields, i.e., risk factors, is revealed with respect to the resulting severity level. Performances of the classifiers are compared to each other and a binary logistic regression model is used as the basis for the comparisons. Some of the high-ranking risk factors are found to be strongly dependent on each other, and their incremental gains on estimating or modeling severity level are evaluated quantitatively. The analysis shows that only a handful of the risk factors in the data dominate the severity level and that dependency among the top risk factors is an imperative trait to consider for an accurate analysis.

  10. [Analysis of related factors of slope plant hyperspectral remote sensing].

    Science.gov (United States)

    Sun, Wei-Qi; Zhao, Yun-Sheng; Tu, Lin-Ling

    2014-09-01

    In the present paper, the slope gradient, aspect, detection zenith angle and plant types were analyzed. In order to strengthen the theoretical discussion, the research was under laboratory condition, and modeled uniform slope for slope plant. Through experiments we found that these factors indeed have influence on plant hyperspectral remote sensing. When choosing slope gradient as the variate, the blade reflection first increases and then decreases as the slope gradient changes from 0° to 36°; When keeping other factors constant, and only detection zenith angle increasing from 0° to 60°, the spectral characteristic of slope plants do not change significantly in visible light band, but decreases gradually in near infrared band; With only slope aspect changing, when the dome meets the light direction, the blade reflectance gets maximum, and when the dome meets the backlit direction, the blade reflectance gets minimum, furthermore, setting the line of vertical intersection of incidence plane and the dome as an axis, the reflectance on the axis's both sides shows symmetric distribution; In addition, spectral curves of different plant types have a lot differences between each other, which means that the plant types also affect hyperspectral remote sensing results of slope plants. This research breaks through the limitations of the traditional vertical remote sensing data collection and uses the multi-angle and hyperspectral information to analyze spectral characteristics of slope plants. So this research has theoretical significance to the development of quantitative remote sensing, and has application value to the plant remote sensing monitoring.

  11. Selection of Variables in Exploratory Factor Analysis: An Empirical Comparison of a Stepwise and Traditional Approach

    Science.gov (United States)

    Hogarty, Kristine Y.; Kromrey, Jeffrey D.; Ferron, John M.; Hines, Constance V.

    2004-01-01

    The purpose of this study was to investigate and compare the performance of a stepwise variable selection algorithm to traditional exploratory factor analysis. The Monte Carlo study included six factors in the design; the number of common factors; the number of variables explained by the common factors; the magnitude of factor loadings; the number…

  12. Shanghai Shows Its Heart

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    The city known as China’s economic powerhouse showed a more caring face as host of the Special Olympic Games Between October 2 and 11,the Special Olympics Summer Games were hosted in Shanghai,the first time the 40-year-old athletic com- petition for people with intellectual disabilities came to a developing country. This Special Olympics was also larger than all previous games in temps of the number of athletes.

  13. Connections between Graphical Gaussian Models and Factor Analysis

    Science.gov (United States)

    Salgueiro, M. Fatima; Smith, Peter W. F.; McDonald, John W.

    2010-01-01

    Connections between graphical Gaussian models and classical single-factor models are obtained by parameterizing the single-factor model as a graphical Gaussian model. Models are represented by independence graphs, and associations between each manifest variable and the latent factor are measured by factor partial correlations. Power calculations…

  14. Cluster analysis of the factors influencing innovative development of economy in regions of Russian Federation

    Directory of Open Access Journals (Sweden)

    V. N. Yur’ev

    2017-01-01

    Full Text Available This article provides a statistical description aimed at identifying the factors, which influence on the innovative development in regions of the Russian Federation. Presented article refers to the results of previous research [1, p. 212–218]. On the first stage, there was given a terminology on the concepts of innovations and innovative development, as well as their role in the modern economy was stated. On the next stage, the factors, which may have an influence on the volume of innovative products, activities and services, were chosen. The results received from this article show the cluster analysis of the regions conducted according to three chosen methods. In the course of the research, data was collected from an official web page of Federal State Statistics Service in accordance to previously chosen factors, its’ analysis and conclusions were made, on the current step the cluster analysis was additionally conducted. To analyze the sample rates and to divide regions to the clusters we’ve used a fully integrated line of analytic solutions Statistica [2], for analyzing, visualizing and forecasting. As a result of a statistical analysis and Statistica use regions were divided into clusters according to the three methods: hierarchical classification, Kaverage method and two-input distribution. To make more detailed analysis, linear, power and exponential equations were built for each region. As a result there were drawn two tables: 1 with the Euclidian distances; 2 with the regression models and the meaningful factors. Thereby, regions were grouped. For each group conclusions and recommendations were given. The results of current research will be applicable for analysis and planning of different commercial and governmental market participants.

  15. THE ANALYSIS OF CHANGES AND INFLUENCING FACTORS OF EARLY POSTTHORACOTOMY PULMONARY FUNCTION

    Institute of Scientific and Technical Information of China (English)

    崔玉尚; 张志庸; 徐协群

    2003-01-01

    Objective. To investigate the changes and influencing factors of early postoperative pulmonary functionof thoracotomy.Methods. Pre-and early postoperative pulmonary function was studied in 64 consecutive cases withoptimal thoracotomy. Pain assessment was done before pulmonary function test, and the chief complaintsof patients were recorded after the procedure. The changing curves of pulmonary function were done andthe differences associated with groups, surgical styles, pain assessment, epidural analgesia, chief com-plaint and preoperative conditions were analyzed.Results. Pulmonary function was severely lowered to about 40% of the base line on the first day,and it was rehabilitated to about 60% of the base line on the eighth day. There was a greater gradienton the recovery curve on the 3rd and 4th days. Epidural analgesia was able to improve pain relaxationand pulmonary function in some degree. Single-factor analysis showed that postoperative pain, postopera-tive day and surgical style were the significant influencing factors for early postoperative pulmonary func-tion. By multiple-factor analysis, preoperative pulmonary function, age and postoperative pain were themain factors, while surgical style had only weak effect on it.Conclusions. Early postoperative pulmonary function is severely impaired by thoracotomy. It rehabili-tate gradually with time. Improvement of preoperative pulmonary function, reducing surgical procedure in-juries, especially injury to respiratory muscle system, and enough postoperative pain relief are the mostimportant means that would reduce pulmonary function impairment and consequently reduce postoperativepulmonary complications.

  16. Common Factor Analysis Versus Principal Component Analysis: Choice for Symptom Cluster Research

    Directory of Open Access Journals (Sweden)

    Hee-Ju Kim, PhD, RN

    2008-03-01

    Conclusion: If the study purpose is to explain correlations among variables and to examine the structure of the data (this is usual for most cases in symptom cluster research, CFA provides a more accurate result. If the purpose of a study is to summarize data with a smaller number of variables, PCA is the choice. PCA can also be used as an initial step in CFA because it provides information regarding the maximum number and nature of factors. In using factor analysis for symptom cluster research, several issues need to be considered, including subjectivity of solution, sample size, symptom selection, and level of measure.

  17. Analysis of the three-dimensional tongue shape using a three-index factor analysis model

    Science.gov (United States)

    Zheng, Yanli; Hasegawa-Johnson, Mark; Pizza, Shamala

    2003-01-01

    Three-dimensional tongue shape during vowel production is analyzed using the three-mode PARAFAC (parallel factors) model. Three-dimensional MRI images of five speakers (9 vowels) are analyzed. Sixty-five virtual fleshpoints (13 segments along the rostral-caudal dimension and 5 segments along the right-left direction) are chosen based on the interpolated tongue shape images. Methods used to adjust the alignment of MRI images, to set up the fleshpoints, and to measure the position of the fleshpoints are presented. PARAFAC analysis of this 3D coordinate data results in a stable two-factor solution that explains about 70% of the variance.

  18. Comprehensive Behavioral Analysis of Activating Transcription Factor 5-Deficient Mice.

    Science.gov (United States)

    Umemura, Mariko; Ogura, Tae; Matsuzaki, Ayako; Nakano, Haruo; Takao, Keizo; Miyakawa, Tsuyoshi; Takahashi, Yuji

    2017-01-01

    Activating transcription factor 5 (ATF5) is a member of the CREB/ATF family of basic leucine zipper transcription factors. We previously reported that ATF5-deficient (ATF5(-/-)) mice demonstrated abnormal olfactory bulb development due to impaired interneuron supply. Furthermore, ATF5(-/-) mice were less aggressive than ATF5(+/+) mice. Although ATF5 is widely expressed in the brain, and involved in the regulation of proliferation and development of neurons, the physiological role of ATF5 in the higher brain remains unknown. Our objective was to investigate the physiological role of ATF5 in the higher brain. We performed a comprehensive behavioral analysis using ATF5(-/-) mice and wild type littermates. ATF5(-/-) mice exhibited abnormal locomotor activity in the open field test. They also exhibited abnormal anxiety-like behavior in the light/dark transition test and open field test. Furthermore, ATF5(-/-) mice displayed reduced social interaction in the Crawley's social interaction test and increased pain sensitivity in the hot plate test compared with wild type. Finally, behavioral flexibility was reduced in the T-maze test in ATF5(-/-) mice compared with wild type. In addition, we demonstrated that ATF5(-/-) mice display disturbances of monoamine neurotransmitter levels in several brain regions. These results indicate that ATF5 deficiency elicits abnormal behaviors and the disturbance of monoamine neurotransmitter levels in the brain. The behavioral abnormalities of ATF5(-/-) mice may be due to the disturbance of monoamine levels. Taken together, these findings suggest that ATF5(-/-) mice may be a unique animal model of some psychiatric disorders.

  19. Analysis of factors associated with excess weight in school children

    Science.gov (United States)

    Pinto, Renata Paulino; Nunes, Altacílio Aparecido; de Mello, Luane Marques

    2016-01-01

    Abstract Objective: To determine the prevalence of overweight and obesity in schoolchildren aged 10 to 16 years and its association with dietary and behavioral factors. Methods: Cross-sectional study that evaluated 505 adolescents using a structured questionnaire and anthropometric data. The data was analyzed through the T Test for independent samples and Mann-Whitney Test to compare means and medians, respectively, and Chi2 Test for proportions. Prevalence ratio (RP) and the 95% confidence interval was used to estimate the degree of association between variables. The logistic regression was employed to adjust the estimates to confounding factors. The significance level of 5% was considered for all analysis. Results: Excess weight was observed in 30.9% of the schoolchildren: 18.2% of overweight and 12.7% of obesity. There was no association between weight alterations and dietary/behavioral habits in the bivariate and multivariate analyses. However, associations were observed in relation to gender. Daily consumption of sweets [PR=0.75 (0.64-0.88)] and soft drinks [PR=0.82 (0.70-0.97)] was less frequent among boys; having lunch daily was slightly more often reported by boys [OR=1.11 (1.02-1.22)]. Physical activity practice of (≥3 times/week) was more often mentioned by boys and the association measures disclosed two-fold more physical activity in this group [PR=2.04 (1.56-2.67)] when compared to girls. Approximately 30% of boys and 40% of girls stated they did not perform activities requiring energy expenditure during free periods, with boys being 32% less idle than girls [PR=0.68 (0.60-0.76)]. Conclusions: A high prevalence of both overweight and obesity was observed, as well as unhealthy habits in the study population, regardless of the presence of weight alterations. Health promotion strategies in schools should be encouraged, in order to promote healthy habits and behaviors among all students. PMID:27321919

  20. Confirmatory Factor Analysis of the French Version of the Anticipatory and Consummatory Interpersonal Pleasure Scale

    Directory of Open Access Journals (Sweden)

    Joséphine Chaix

    2017-07-01

    Full Text Available The Anticipatory and Consummatory Interpersonal Pleasure Scale (ACIPS, a measure specifically designed to assess hedonic capacity for social and interpersonal pleasure, was used to evaluate the presence of social anhedonia in patients as well as the general population. The first goal of this study was to validate the structure of the French version of the ACIPS. The second objective was to verify whether a one, two or three factor solution is most appropriate for the ACIPS scale. The French version of the ACIPS was tested on 263 French-speaking pre-graduate students or professional volunteers. For the confirmatory factor analysis, data were treated as categorical ordinal and all the models were estimated using a robust weighted least squares estimator with adjustments for the mean and variance. Three models were estimated. A one-factor model representing a general undifferentiated “pleasure” latent construct was first tested on the 17 ACIPS items. A two-factor model distinguishing anticipatory-pleasure and consummatory-pleasure was tested next. Finally, a three-factor model including subdomains of intimate social interactions, group social interactions, and social bonding was tested. The one and two-factor models showed a somewhat poor fit to the data. However, the goodness of fit of the three factor model was adequate. These results suggest that individuals who enjoyed interaction in one of these three subdomains were more likely to enjoy doing so in the two other domains. However, on the basis of the comparison between the one and three factor models, these three types of interactions may not be considered as indistinguishable. Rather, they represent distinct and theoretically meaningful dimensions. These results show the French version of the ACIPS is a useful and valid scale to measure the capacity of savoring different kinds of social relationships.

  1. Analysis of the Relevant Factors of Retaining Women in Judo

    Directory of Open Access Journals (Sweden)

    Joško Sindik

    2014-09-01

    Full Text Available This study aimed to determine the latent dimensions of all relevant factors about engagement of women in judo, to determine the intercorrelations among these latent dimensions, as well as the correlations with three relevant variables. Final goal was to determine the differences in revealed latent dimensions, in relation to several independent variables: educational level, marital status, impulses to engage in judo, then depending are the women athletes (competitors or not, members of the Board or not, trainers or not. A total of 50 female judokas from a larger number of Croatian clubs were examined, by specially composed the survey. The results showed that all seven questionnaires showed medium to high satisfactory reliability, together with good con¬struct validity, in 15 latent dimensions that are revealed. It can be noticed that relatively older women have more obligations and more barriers that oppose to their engagement in judo. Only small number of differences are found among women engaged in judo, mainly among participants who are members of the Board in the club or Croatian Judo Federation, as compared with those who are not. Small number of statistically significant differences (as well as the correlations can be also observed as the fact that all women partially share similar problems, while the media strategies are perceived as the most powerful to increase women’s persistence in judo, in any type of engagement.

  2. The Fuzzy Grey Relational Analysis of the Factors Influencing Farm Produce Logistics

    Institute of Scientific and Technical Information of China (English)

    Yan; LI; Hongmei; SHAN

    2014-01-01

    The farm produce logistics plays an important role in promoting the agricultural production and prosperity of the rural economy,so grasping the main factors influencing the development of farm produce logistics,is of important significance to accelerating the development of farm produce logistics. The values of identification coefficient in the grey relational analysis are taken based on the experience,so the accuracy of the results is affected. This article uses the improved fuzzy grey relational analysis to analyze the main factors influencing farm produce logistics. The results show that the number of storage companies has a great impact on the development of farm produce logistics,followed by the farm produce processing machinery capacity,rural transport infrastructure,farm produce market conditions and government financial support for agriculture,while the total number of Internet users in rural areas has an limited impact on the development of farm produce logistics.

  3. Structural validity of the Pittsburgh Sleep Quality Index in Chinese undergraduate students: A confirmatory factor analysis

    Directory of Open Access Journals (Sweden)

    Suran Guo

    2016-08-01

    Full Text Available The purpose of this study was to examine the structural validity of the Pittsburgh Sleep Quality Index (PSQI in Chinese undergraduate students. A cross-sectional questionnaire survey with 631 Chinese undergraduate students was conducted, and the questionnaire package included a measure of demographic characteristics, Pittsburgh Sleep Quality Index (PSQI, Chinese editions of Center for Epidemiologic Studies-Depression, State- Trait Anxiety Inventory, Rumination Response Scale, and Perceived Social Support Scale. Results showed that the item use of sleep medicine was not suitable for use with this population, that a two-factor model provided the best fit to the data as assessed through confirmatory factor analysis, and that other indices were consistently correlated with the sleep quality but not the sleep efficiency factor.

  4. Structural equation modeling analysis of factors influencing architects' trust in project design teams

    Institute of Scientific and Technical Information of China (English)

    DING Zhi-kun; NG Fung-fai; WANG Jia-yuan

    2009-01-01

    This paper describes a structural equation modeling (SEM) analysis of factors influencing architects' trust in project design teams. We undertook a survey of architects, during which we distributed 193 questionnaires in 29 A-level architectural We used Amos 6.0 for SEM to identify significant personal construct based factors affecting interpersonal trust. The results show that only social interaction between architects significantly affects their interpersonal trust. The explained variance of trust is not very high in the model. Therefore, future research should add more factors into the current model. The practical implication is that team managers should promote the social interactions between team members such that the interpersonal trust level between team members can be improved.

  5. Stress analysis and stress-intensity factors for finite geometry solids containing rectangular surface cracks

    Science.gov (United States)

    Gyekenyesi, J. P.; Mendelson, A.

    1977-01-01

    The line method of analysis is applied to the Navier-Cauchy equations of elastic equilibrium to calculate the displacement field in a finite geometry bar containing a variable depth rectangular surface crack under extensionally applied uniform loading. The application of this method to these equations leads to coupled sets of simultaneous ordinary differential equations whose solutions are obtained along sets of lines in a discretized region. Using the obtained displacement field, normal stresses, and the stress-intensity factor variation along the crack periphery are calculated for different crack depth to bar thickness ratios. Crack opening displacements and stress-intensity factors are also obtained for a through-thickness, center-cracked bar with variable thickness. The reported results show a considerable potential for using this method in calculating stress-intensity factors for commonly encountered surface crack geometries in finite solids

  6. Stress analysis and stress intensity factors for finite geometry solids containing rectangular surface cracks

    Science.gov (United States)

    Gyekenyesi, J. P.; Mendelson, A.

    1975-01-01

    The line method of analysis is applied to the Navier-Cauchy equations of elastic equilibrium to calculate the displacement field in a finite geometry bar containing a variable depth rectangular surface crack under extensionally applied uniform loading. The application of this method to these equations leads to coupled sets of simultaneous ordinary differential equations whose solutions are obtained along sets of lines in a discretized region. Using the obtained displacement field, normal stresses and the stress intensity factor variation along the crack periphery are calculated for different crack depth to bar thickness ratios. Crack opening displacements and stress intensity factors are also obtained for a through-thickness, center cracked bar with variable thickness. The reported results show a considerable potential for using this method in calculating stress intensity factors for commonly encountered surface crack geometries in finite solids.

  7. Growth factor expression in degenerated intervertebral disc tissue. An immunohistochemical analysis of transforming growth factor beta, fibroblast growth factor and platelet-derived growth factor.

    Science.gov (United States)

    Tolonen, Jukka; Grönblad, Mats; Vanharanta, Heikki; Virri, Johanna; Guyer, Richard D; Rytömaa, Tapio; Karaharju, Erkki O

    2006-05-01

    Degenerated intervertebral disc has lost its normal architecture, and there are changes both in the nuclear and annular parts of the disc. Changes in cell shape, especially in the annulus fibrosus, have been reported. During degeneration the cells become more rounded, chondrocyte-like, whereas in the normal condition annular cells are more spindle shaped. These chondrocyte-like cells, often forming clusters, affect extracellular matrix turnover. In previous studies transforming growth factor beta (TGFbeta) -1 and -2, basic fibroblast growth factor (bFGF) and platelet-derived growth factor (PDGF) have been highlighted in herniated intervertebral disc tissue. In the present study the same growth factors are analysed immunohistochemically in degenerated intervertebral disc tissue. Disc material was obtained from 16 discs operated for painful degenerative disc disease. Discs were classified according to the Dallas Discogram Description. Different disc regions were analysed in parallel. As normal control disc tissue material from eight organ donors was used. Polyclonal antibodies against different growth factors and TGFbeta receptor type II were used, and the immunoreaction was detected by the avidin biotin complex method. All studied degenerated discs showed immunoreactivity for TGFbeta receptor type II and bFGF. Fifteen of 16 discs were immunopositive for TGFbeta-1 and -2, respectively, and none showed immunoreaction for PDGF. Immunopositivity was located in blood vessels and in disc cells. In the nucleus pulposus the immunoreaction was located almost exclusively in chondrocyte-like disc cells, whereas in the annular region this reaction was either in chondrocyte-like disc cells, often forming clusters, or in fibroblast-like disc cells. Chondrocyte-like disc cells were especially prevalent in the posterior disrupted area. In the anterior area of the annulus fibrosus the distribution was more even between these two cell types. bFGF was expressed in the anterior annulus

  8. FACTOR 9.2: A Comprehensive Program for Fitting Exploratory and Semiconfirmatory Factor Analysis and IRT Models

    Science.gov (United States)

    Lorenzo-Seva, Urbano; Ferrando, Pere J.

    2013-01-01

    FACTOR 9.2 was developed for three reasons. First, exploratory factor analysis (FA) is still an active field of research although most recent developments have not been incorporated into available programs. Second, there is now renewed interest in semiconfirmatory (SC) solutions as suitable approaches to the complex structures are commonly found…

  9. Not a "reality" show.

    Science.gov (United States)

    Wrong, Terence; Baumgart, Erica

    2013-01-01

    The authors of the preceding articles raise legitimate questions about patient and staff rights and the unintended consequences of allowing ABC News to film inside teaching hospitals. We explain why we regard their fears as baseless and not supported by what we heard from individuals portrayed in the filming, our decade-long experience making medical documentaries, and the full un-aired context of the scenes shown in the broadcast. The authors don't and can't know what conversations we had, what documents we reviewed, and what protections we put in place in each televised scene. Finally, we hope to correct several misleading examples cited by the authors as well as their offhand mischaracterization of our program as a "reality" show.

  10. Analysis of nomofobic behaviors of adolescents regarding various factors

    Directory of Open Access Journals (Sweden)

    Deniz Mertkan Gezgin

    2016-05-01

    Full Text Available Although the developments in technology have made our lives and daily activities easier, it is believed that problematic and excessive use of technology could have some negative effects on people. One of these negative effects is the prevalence of nomophobia, which is considered as a new phobia in recent years. Nomophobia is defined as the fear and anxiety when an individual cannot access his or her mobile/smart phone or cannot have the chance to communicate online and offline via mobile devices. Nomophobic tendencies can change individuals’ daily habits. Negative emotions due to nomophobic tendencies like fear and anxiety especially in young people is thought to affect their school lives and academic achievements. The purpose of this research is to analyze the prevalence of nomophobia among high school students regarding various factors. The Nomophobia Scale (NMP-Q, which was used in this study, was developed by Yildirim and Correia (2015, and adapted into Turkish by Yildirim, Sumuer, Adnan and Yildirim (2015. The study group consists of 475 high school students attending six different schools situated in diverse socio-economic areas in Izmir and Edirne in 2015-2016 education year. The study was conducted in survey model and descriptive statistics. T-test for independent samples and one-way analysis of variance (ANOVA techniques were used at the analysis stage. According to the findings, mean scores obtained from the scale demonstrated that the levels of nomophobic behaviors of high school students were above the average. Besides, female students have higher nomophobia levels compared to male students in terms of gender variable and a significant difference was found in terms of the duration of mobile internet usage. A significant difference could not be found in terms of the variables such as grade, parents’ education levels, and the duration of smartphone usage. Furthermore, the study has revealed that high school students use their

  11. Analysis of cultural development of Isfahan city Using Factor analysis method

    Directory of Open Access Journals (Sweden)

    J.Mohammadi

    2013-01-01

    Full Text Available Extended abstract1-IntroductionCultural spaces are consideredas one of the main factors for development. Cultural development is a qualitative and valuable process that for assessing it, quantitative indicators in cultural planning are used to obtain development objectives in the pattern of goods and services. The aim of the study is to determine and analyze cultural development level and regional inequality of different districts of Isfahan using factor analysis technique. The statistical population of the study is 14 districts of Isfahan municipality. The dominant approach ofthis study is quantitative – description and analytical. In this study, 35 indices have been summarized by factor analysis method and have been reduced to 5 factors and combined in significant ones and delivered.2 – Theoretical basesThe most important objectives of spatial planning, considering limitation of resources, are optimum distributions of facilities and services among different locations in which people live. To do this,there is a need to identify different locations in terms of having different facilities and services, so that developed locations are specified and planners can proceed to do something for spatial equilibrium and reducing privileged distance between districts.The present study has been conducted to reach to an equal development in Isfahan urban districts following identifying the situation and the manner of distributing development facilities cultural selected indices in different districts.3 – DiscussionCultural development of societies is evaluated by considering the changes and improvement of its indices and measured by quantitative frames. Cultural development indices are the most important tools for cultural planning in a special district in a society. In this study, cultural development indices have been used to determine the levels of districts. By using factor analysis model, the share of influential factors in the cultural

  12. Risk factors for Parkinson disease and the path analysis: One-to-one paired design

    Institute of Scientific and Technical Information of China (English)

    Xianhua Tan

    2007-01-01

    showed that family history, mental labour, insecticides, drinking index and history of depression all had significant positive correlations with PD (univariate analysis: OR=1.405- 5.429, P < 0.05- 0.01;multivariate analysis: OR=2.029- 6.754, P < 0.05- 0.01), whereas smoking had significant negative correlations with PD [univariate analysis: odd ratio (OR)=0.765, P < 0.05; multivariate analysis: OR =0.489,and history of depression had direct effects on PD occurrence [(path coefficient= - 0.218 to 0.204, P < 0.05- 0.01)]; Insecticides could cause PD indirectly on the basis of family history (genetic susceptibility) (path coefficient=0.946, P < 0.01); Insecticides could also cause PD by drinking (path coefficient=0.165, P < 0.01);Drinking could cause PD indirectly on the basis of family history (path coefficient=0.043, P < 0.01).CONCLUSION: The main risk factors of PD are family history, history of depression, drinking, mental labour and insecticides, whereas the protective factor is smoking. PD attack has genetic susceptibility,insecticides and drinking can cause PD on the basis of PD family history. The risk of PD can be decreased by reducing the occasion for contacting the environmental risk factors.

  13. Factors affecting the efficiency of the BRICSs' national innovation systems: A comparative study based on DEA and Panel Data Analysis

    OpenAIRE

    Cai, Yuezhou

    2011-01-01

    Efficiency scores of the National Innovation System (NIS) for 22 countries, including the BRICS, G7, are calculated with the Data Envelopment Analysis (DEA). Relevant factors that may affect the innovation system efficiency are summarized based on the NIS Approach and the New Growth Theory. Empirical study is further made with the Panel Data Analysis (PDA) and the Principal Component Analysis. The results of efficiency calculation and empirical test show that: (1) The BRICS differ greatly in ...

  14. Showing Value (Editorial

    Directory of Open Access Journals (Sweden)

    Denise Koufogiannakis

    2009-06-01

    Full Text Available When Su Cleyle and I first decided to start Evidence Based Library and Information Practice, one of the things we agreed upon immediately was that the journal be open access. We knew that a major obstacle to librarians using the research literature was that they did not have access to the research literature. Although Su and I are both academic librarians who can access a wide variety of library and information literature from our institutions, we belong to a profession where not everyone has equal access to the research in our field. Without such access to our own body of literature, how can we ever hope for practitioners to use research evidence in their decision making? It would have been contradictory to the principles of evidence based library and information practice to do otherwise.One of the specific groups we thought could use such an open access venue for discovering research literature was school librarians. School librarians are often isolated and lacking access to the research literature that may help them prove to stakeholders the importance of their libraries and their role within schools. Certainly, school libraries have been in decline and the use of evidence to show value is needed. As Ken Haycock noted in his 2003 report, The Crisis in Canada’s School Libraries: The Case for Reform and Reinvestment, “Across the country, teacher-librarians are losing their jobs or being reassigned. Collections are becoming depleted owing to budget cuts. Some principals believe that in the age of the Internet and the classroom workstation, the school library is an artifact” (9. Within this context, school librarians are looking to our research literature for evidence of the impact that school library programs have on learning outcomes and student success. They are integrating that evidence into their practice, and reflecting upon what can be improved locally. They are focusing on students and showing the impact of school libraries and

  15. Obesity-associated Breast Cancer: Analysis of risk factors.

    Science.gov (United States)

    Engin, Atilla

    2017-01-01

    Several studies show that a significantly stronger association is obvious between increased body mass index (BMI) and higher breast cancer incidence. Furthermore, obese women are at higher risk of all-cause and breast cancer specific mortality when compared to non-obese women with breast cancer. In this context, increased levels of estrogens due to excessive aromatization activity of the adipose tissue, overexpression of pro-inflammatory cytokines, insulin resistance, hyperactivation of insulin-like growth factors (IGFs) pathways, adipocyte-derived adipokines, hypercholesterolemia and excessive oxidative stress contribute to the development of breast cancer in obese women. While higher breast cancer risk with hormone replacement therapy is particularly evident among lean women, in postmenopausal women who are not taking exogenous hormones, general obesity is a significant predictor for breast cancer. Moreover, increased plasma cholesterol leads to accelerated tumor formation and exacerbates their aggressiveness. In contrast to postmenopausal women, premenopausal women with high BMI are inversely associated with breast cancer risk. Nevertheless, life-style of women for breast cancer risk is regulated by avoiding the overweight and a high-fat diet. Estrogen-plus-progestin hormone therapy users for more than 5 years have elevated risks of both invasive ductal and lobular breast cancer. Additionally, these cases are more commonly node-positive and have a higher cancer-related mortality. Collectively, in this chapter, the impacts of obesity-related estrogen, cholesterol, saturated fatty acid, leptin and adiponectin concentrations, aromatase activity, leptin and insulin resistance on breast cancer patients are evaluated. Obesity-related prognostic factors of breast cancer also are discussed at molecular basis.

  16. Arabidopsis Plants Having Defects in Nonsense-mediated mRNA Decay Factors UPF1,UPF2, and UPF3 Show Photoperiod-dependent Phenotypes in Development and Stress Responses

    Institute of Scientific and Technical Information of China (English)

    Chuan Shi; lan T. Baldwin; Jianqiang Wu

    2012-01-01

    Nonsense-mediated mRNA decay (NMD) is an important mRNA quality surveillance pathway in all eukaryotes that eliminates aberrant mRNAs derived from various sources.Three NMD factor proteins,UPF1,UPF2,and UPF3 are required for the NMD process and were found to be also involved in certain stress responses in mammalian and yeast cells.Using Arabidopsis thaliana mutants of UPF1 and UPF3 and UPF2-silenced lines (irUPF2),we examined the involvement of UPF1,UPF2,and UPF3 in development and in response to stresses,wounding and infection by Pseudomonas syringae pv.tomato strain DC3000.Under the long (16 h) photoperiod condition,Arabidopsis having a defect in NMD factors exhibited altered morphologies of various organs,disturbed homeostasis of wounding-induced jasmonic acid and pathogen-elicited salicylic acid,and abnormal wounding- and methyl jasmonate-induced changes in the transcript levels of two defense-related genes,LOX2 and VSP2.Importantly,when plants were cultivated under the short (10 h) photoperiod condition,mutants of UPF1 and UPF3 and irUPF2 showed smaller differences from the wild-type plants in growth and stress-induced responses.These data suggest a complex regulatory network,likely composed of light signaling and NMD factor-mediated pathways,in influencing plant development and adaption to environmental stresses.

  17. Childhood Trauma Questionnaire (CTQ) in Brazilian Samples of Different Age Groups: Findings from Confirmatory Factor Analysis

    Science.gov (United States)

    Grassi-Oliveira, Rodrigo; Cogo-Moreira, Hugo; Salum, Giovanni Abrahão; Brietzke, Elisa; Viola, Thiago Wendt; Manfro, Gisele Gus; Kristensen, Christian Haag; Arteche, Adriane Xavier

    2014-01-01

    The Childhood Trauma Questionnaire (CTQ) is internationally accepted as a key tool for the assessment of childhood abuse and neglect experiences. However, there are relative few psychometric studies available and some authors have proposed two different factor solutions. We examined the dimensional structure and internal consistency of the Brazilian version of the CTQ. A total of 1,925 participants from eight different clinical and non-clinical samples including adolescents, adults and elders were considered in this study. First, we performed Confirmatory Factor Analysis to investigate the goodness of fit of the two proposed competitive factor structure models for the CTQ. We also investigated the internal consistency of all factors. Second, multi-group analyses were used to investigate measurement invariance and population heterogeneity across age groups and sex. Our findings revealed that the alternative factor structure as opposed to the original factor structure was the most appropriate model within adolescents and adults Brazilian samples. We provide further evidence for the validity and reliability of the CTQ within the Brazilian samples and report that the alternative model showed an improvement in fit indexes and may be a better alternative over the original model. PMID:24475237

  18. Multi-factor sensitivity analysis of shallow unsaturated clay slope stability

    Institute of Scientific and Technical Information of China (English)

    Zhuoying Tan; Meifeng Cai

    2005-01-01

    An unsaturated clay slope, with various sloping angles and a thickness of 14 m, consists of backfill, slope soil and residual soil. Slide interfaces were determined by geophysical approaches and the original slope was reconstructed. Sub-slope masses were classified based on the varieties of sloping angle. A force recursive principle was proposed to calculate the stability coefficient of the sub-slope masses. The influencing factors such as sloping angle, water content, hydrostatic pressure, seismic force as well as train load were analyzed. The range and correlation of the above-mentioned factors were discussed and coupled wave equations were established to reflect the relationships between unit weight, cohesion, internal frictional angle, and water content, as well as between internal frictional angle and cohesion. The sensitivity analysis of slope stability was carried out and susceptive factors were determined when the factors were taken as independent and dependent variables respectively. The results show that sloping angle, water content and earthquake are the principal susceptive factors influencing slope stability. The impact of hydrostatic pressure on slope stability is similar to the seismic force in quantity. Train load plays a small role in slope stability and its influencing only reaches the roadbed and its neighboring slope segment. If the factors are taken as independent variables, the influencing extent of water content and cohesion on slope stability can be weakened and train load can be magnified.

  19. Prognostic Factor Analysis of Intraocular Pressure with Neovascular Glaucoma.

    Science.gov (United States)

    Nakano, Satoko; Nakamuro, Takako; Yokoyama, Katsuhiko; Kiyosaki, Kunihiro; Kubota, Toshiaki

    2016-01-01

    Purpose. To perform multivariate analysis for identifying independent predictors of elevated intraocular pressure (IOP) with neovascular glaucoma (NVG), including antivascular endothelial growth factor (VEGF) intravitreal injections. Methods. We retrospectively reviewed 142 NVG patients (181 eyes) with ischemic retinal diseases [proliferative diabetic retinopathy (PDR) in 134 eyes, retinal vein occlusion (RVO) in 29, and ocular ischemic syndrome in 18]. We analyzed age, gender, initial/final LogMAR VA, initial/final IOP, extent of iris and/or angle neovascularization, treatments, preexisting complications, concurrent medications, and follow-up duration. Results. The mean follow-up duration was 23.8 ± 18.8 months. At the final follow-up, 125 (72.3%) eyes had IOP ≤ 21 mmHg. NVG patients with RVO had a higher degree of angle closure and higher IOP. NVG with PDR had better IOP and LogMAR VA. Angle closure had the greatest impact on final IOP. Greater than 90% of patients treated with trabeculectomy with mitomycin C (LEC) had persistent declines in IOP (≤21 mmHg). Stand-alone and combination anti-VEGF therapies were not associated with improved long-term prognosis of IOP. Conclusions. Angle closure was found to have the greatest effect on NVG-IOP prognosis. When target IOP values are not obtained after adequate PRP with or without anti-VEGF, early LEC may improve the prognosis of IOP.

  20. Prognostic Factor Analysis of Intraocular Pressure with Neovascular Glaucoma

    Directory of Open Access Journals (Sweden)

    Satoko Nakano

    2016-01-01

    Full Text Available Purpose. To perform multivariate analysis for identifying independent predictors of elevated intraocular pressure (IOP with neovascular glaucoma (NVG, including antivascular endothelial growth factor (VEGF intravitreal injections. Methods. We retrospectively reviewed 142 NVG patients (181 eyes with ischemic retinal diseases [proliferative diabetic retinopathy (PDR in 134 eyes, retinal vein occlusion (RVO in 29, and ocular ischemic syndrome in 18]. We analyzed age, gender, initial/final LogMAR VA, initial/final IOP, extent of iris and/or angle neovascularization, treatments, preexisting complications, concurrent medications, and follow-up duration. Results. The mean follow-up duration was 23.8 ± 18.8 months. At the final follow-up, 125 (72.3% eyes had IOP ≤ 21 mmHg. NVG patients with RVO had a higher degree of angle closure and higher IOP. NVG with PDR had better IOP and LogMAR VA. Angle closure had the greatest impact on final IOP. Greater than 90% of patients treated with trabeculectomy with mitomycin C (LEC had persistent declines in IOP (≤21 mmHg. Stand-alone and combination anti-VEGF therapies were not associated with improved long-term prognosis of IOP. Conclusions. Angle closure was found to have the greatest effect on NVG-IOP prognosis. When target IOP values are not obtained after adequate PRP with or without anti-VEGF, early LEC may improve the prognosis of IOP.

  1. Distal wound complications following pedal bypass: analysis of risk factors.

    Science.gov (United States)

    Robison, J G; Ross, J P; Brothers, T E; Elliott, B M

    1995-01-01

    Wound complications of the pedal incision continue to compromise successful limb salvage following aggressive revascularization. Significant distal wound disruption occurred in 14 of 142 (9.8%) patients undergoing pedal bypass with autogenous vein for limb salvage between 1986 and 1993. One hundred forty-two pedal bypass procedures were performed for rest pain in 66 patients and tissue necrosis in 76. Among the 86 men and 56 women, 76% were diabetic and 73% were black. All but eight patients had a history of diabetes and/or tobacco use. Eight wounds were successfully managed with maintenance of patent grafts from 5 to 57 months. Exposure of a patent graft precipitated amputation in three patients, as did graft occlusion in an additional patient. One graft was salvaged by revision to the peroneal artery and one was covered by a local bipedicled flap. Multiple regression analysis identified three factors associated with wound complications at the pedal incision site: diabetes mellitus (p = 0.03), age > 70 years (p = 0.03), and rest pain (p = 0.05). Ancillary techniques ("pie-crusting") to reduce skin tension resulted in no distal wound problems among 15 patients considered to be at greatest risk for wound breakdown. Attention to technique of distal graft tunneling, a wound closure that reduces tension, and control of swelling by avoiding dependency on and use of gentle elastic compression assume crucial importance in minimizing pedal wound complications following pedal bypass.

  2. Regression and kriging analysis for grid power factor estimation

    Directory of Open Access Journals (Sweden)

    Rajesh Guntaka

    2014-12-01

    Full Text Available The measurement of power factor (PF in electrical utility grids is a mainstay of load balancing and is also a critical element of transmission and distribution efficiency. The measurement of PF dates back to the earliest periods of electrical power distribution to public grids. In the wide-area distribution grid, measurement of current waveforms is trivial and may be accomplished at any point in the grid using a current tap transformer. However, voltage measurement requires reference to ground and so is more problematic and measurements are normally constrained to points that have ready and easy access to a ground source. We present two mathematical analysis methods based on kriging and linear least square estimation (LLSE (regression to derive PF at nodes with unknown voltages that are within a perimeter of sample nodes with ground reference across a selected power grid. Our results indicate an error average of 1.884% that is within acceptable tolerances for PF measurements that are used in load balancing tasks.

  3. Rorschach assessment of traumatized refugees: an exploratory factor analysis.

    Science.gov (United States)

    Opaas, Marianne; Hartmann, Ellen

    2013-01-01

    Fifty-one multitraumatized mental health patients with refugee backgrounds completed the Rorschach (Meyer & Viglione, 2008), Harvard Trauma Questionnaire, and Hopkins Symptom Checklist-25 (Mollica, McDonald, Massagli, & Silove, 2004), and the World Health Organization Quality of Life-BREF questionnaire (WHOQOL Group, 1998) before the start of treatment. The purpose was to gain more in-depth knowledge of an understudied patient group and to provide a prospective basis for later analyses of treatment outcome. Factor analysis of trauma-related Rorschach variables gave 2 components explaining 60% of the variance; the first was interpreted as trauma-related flooding versus constriction and the second as adequate versus impaired reality testing. Component 1 correlated positively with self-reported reexperiencing symptoms of posttraumatic stress (r = .32, p < .05). Component 2 correlated positively with self-reported quality of life in the physical, psychological, and social relationships domains (r = .34, .32, and .35, p < .05), and negatively with anxiety (r = -.33, p < .05). Each component also correlated significantly with resources like work experience, education, and language skills.

  4. Public medical shows.

    Science.gov (United States)

    Walusinski, Olivier

    2014-01-01

    In the second half of the 19th century, Jean-Martin Charcot (1825-1893) became famous for the quality of his teaching and his innovative neurological discoveries, bringing many French and foreign students to Paris. A hunger for recognition, together with progressive and anticlerical ideals, led Charcot to invite writers, journalists, and politicians to his lessons, during which he presented the results of his work on hysteria. These events became public performances, for which physicians and patients were transformed into actors. Major newspapers ran accounts of these consultations, more like theatrical shows in some respects. The resultant enthusiasm prompted other physicians in Paris and throughout France to try and imitate them. We will compare the form and substance of Charcot's lessons with those given by Jules-Bernard Luys (1828-1897), Victor Dumontpallier (1826-1899), Ambroise-Auguste Liébault (1823-1904), Hippolyte Bernheim (1840-1919), Joseph Grasset (1849-1918), and Albert Pitres (1848-1928). We will also note their impact on contemporary cinema and theatre.

  5. Analysis on Factors Affecting Seedling Establishment in Rice

    Directory of Open Access Journals (Sweden)

    Ju LUO

    2007-03-01

    Full Text Available Elongations of coleoptile and mesocotyl are related directly to rice seedling establishment in soil and height of plant is related to lodging in rice production. Twelve typical rice cultivars with different lengths of coleoptile and mesocotyl (long, medium and short were selected by screening the lengths of coleoptile and mesocotyl in 1500 accessions. The seedling establishments of these typical cultivars were compared under the combinations of different sowing depths and flooding durations, and two semi-dwarf varieties (G140, Zhong 96–21 with good seedling establishments and optimum mesocotyl lengths were found. The length of mesocotyl was completely fitted negative binomial distribution and the length of coleoptile was nearly fitted lognormal distribution. Analysis of the relationships among mesocotyl, coleoptile, seeding depth, flooding duration, and their interactions to seedling establishment percentage showed that there existed significant relations among mesocotyl, coleoptile, mesocotyl × coleoptile, seeding depth, flooding duration and mesocotyl × sowing depth in the experiment for seedling establishment.

  6. Analysis on Factors Affecting Seedling Establishment in Rice

    Institute of Scientific and Technical Information of China (English)

    LUO Ju; TANG Shao-qing; HU Pei-song; Aleman LOUIS; JIAO Gui-ai; TANG Jian

    2007-01-01

    Elongations of coleoptile and mesocotyl are related directly to rice seedling establishment in soil and height of plant is related to lodging in rice production. Twelve typical rice cultivars with different lengths of coleoptile and mesocotyl (long, medium and short) were selected by screening the lengths of coleoptile and mesocotyl in 1500 accessions. The seedling establishments of these typical cultivars were compared under the combinations of different sowing depths and flooding durations, and two semi-dwarf varieties (G140, Zhong 96-21) with good seedling establishments and optimum mesocotyl lengths were found. The length of mesocotyl was completely fitted negative binomial distribution and the length of coleoptile was nearly fitted Iognormal distribution.Analysis of the relationships among mesocotyl, coleoptile, seeding depth, flooding duration, and their interactions to seedling establishment percentage showed that there existed significant relations among mesocotyl, coleoptile, mesocotyl × coleoptile,seeding depth, flooding duration and mesocotyl × sowing depth in the experiment for seedling establishment.

  7. Transcriptional profiling by cDNA-AFLP analysis showed differential transcript abundance in response to water stress in Populus hopeiensis

    OpenAIRE

    Song Yuepeng; Wang Zeliang; Bo Wenhao; Ren Yuanyuan; Zhang Zhiyi; Zhang Deqiang

    2012-01-01

    Abstract Background Drought is one of the main environmental factors limiting tree growth and productivity of plantation forests worldwide. Populus hopeiensis Hu et Chow is one of the most important commercial plantation tree species in China. However, the genes controlling drought tolerance in this species have not been identified or characterized. Here, we conducted differential expression analyses and identified a number of genes that were up- or downregulated in P. hopeiensis during water...

  8. The Great Cometary Show

    Science.gov (United States)

    2007-01-01

    its high spatial and spectral resolution, it was possible to zoom into the very heart of this very massive star. In this innermost region, the observations are dominated by the extremely dense stellar wind that totally obscures the underlying central star. The AMBER observations show that this dense stellar wind is not spherically symmetric, but exhibits a clearly elongated structure. Overall, the AMBER observations confirm that the extremely high mass loss of Eta Carinae's massive central star is non-spherical and much stronger along the poles than in the equatorial plane. This is in agreement with theoretical models that predict such an enhanced polar mass-loss in the case of rapidly rotating stars. ESO PR Photo 06c/07 ESO PR Photo 06c/07 RS Ophiuchi in Outburst Several papers from this special feature focus on the later stages in a star's life. One looks at the binary system Gamma 2 Velorum, which contains the closest example of a star known as a Wolf-Rayet. A single AMBER observation allowed the astronomers to separate the spectra of the two components, offering new insights in the modeling of Wolf-Rayet stars, but made it also possible to measure the separation between the two stars. This led to a new determination of the distance of the system, showing that previous estimates were incorrect. The observations also revealed information on the region where the winds from the two stars collide. The famous binary system RS Ophiuchi, an example of a recurrent nova, was observed just 5 days after it was discovered to be in outburst on 12 February 2006, an event that has been expected for 21 years. AMBER was able to detect the extension of the expanding nova emission. These observations show a complex geometry and kinematics, far from the simple interpretation of a spherical fireball in extension. AMBER has detected a high velocity jet probably perpendicular to the orbital plane of the binary system, and allowed a precise and careful study of the wind and the shockwave

  9. Risk factors for postoperative pancreatic fistula: Analysis of 539 successive cases of pancreaticoduodenectomy.

    Science.gov (United States)

    Hu, Bing-Yang; Wan, Tao; Zhang, Wen-Zhi; Dong, Jia-Hong

    2016-09-14

    To analyze the risk factors for pancreatic fistula after pancreaticoduodenectomy. We conducted a retrospective analysis of 539 successive cases of pancreaticoduodenectomy performed at our hospital from March 2012 to October 2015. Pancreatic fistula was diagnosed in strict accordance with the definition of pancreatic fistula from the International Study Group on Pancreatic Fistula. The risk factors for pancreatic fistula were analyzed by univariate analysis and multivariate logistic regression analysis. A total of 269 (49.9%) cases of pancreatic fistula occurred after pancreaticoduodenectomy, including 71 (13.17%) cases of grade A pancreatic fistula, 178 (33.02%) cases of grade B, and 20 (3.71%) cases of grade C. Univariate analysis showed no significant correlation between postoperative pancreatic fistula (POPF) and the following factors: age, hypertension, alcohol consumption, smoking, history of upper abdominal surgery, preoperative jaundice management, preoperative bilirubin, preoperative albumin, pancreatic duct drainage, intraoperative blood loss, operative time, intraoperative blood transfusion, Braun anastomosis, and pancreaticoduodenectomy (with or without pylorus preservation). Conversely, a significant correlation was observed between POPF and the following factors: gender (male vs female: 54.23% vs 42.35%, P = 0.008), diabetes (non-diabetic vs diabetic: 51.61% vs 39.19%, P = 0.047), body mass index (BMI) (≤ 25 vs > 25: 46.94% vs 57.82%, P = 0.024), blood glucose level (≤ 6.0 mmol/L vs > 6.0 mmol/L: 54.75% vs 41.14%, P = 0.002), pancreaticojejunal anastomosis technique (pancreatic duct-jejunum double-layer mucosa-to-mucosa pancreaticojejunal anastomosis vs pancreatic-jejunum single-layer mucosa-to-mucosa anastomosis: 57.54% vs 35.46%, P = 0.000), diameter of the pancreatic duct (≤ 3 mm vs > 3 mm: 57.81% vs 38.36%, P = 0.000), and pancreatic texture (soft vs hard: 56.72% vs 29.93%, P = 0.000). Multivariate logistic regression analysis showed that

  10. The five-factor model of the Positive and Negative Syndrome Scale - I : Confirmatory factor analysis fails to confirm 25 published five-factor solutions

    NARCIS (Netherlands)

    van der Gaag, Mark; Cuijpers, Anke; Hoffman, Tonko; Remijsen, Mila; Hijman, Ron; de Haan, Lieuwe; van Meijel, Berno; van Harten, Peter N.; Valmaggia, Lucia; de Hert, Marc; Wiersma, Durk

    2006-01-01

    Objective: The aim of this study was to test the goodness-of-fit of all previously published five-factor models of the Positive and Negative Syndrome Scale (PANSS). Methods: We used confirmatory factor analysis (CFA) with a large data set (N = 5769). Results: The different subsamples were tested for

  11. Factor Analysis of the Aberrant Behavior Checklist in Individuals with Autism Spectrum Disorders

    Science.gov (United States)

    Brinkley, Jason; Nations, Laura; Abramson, Ruth K.; Hall, Alicia; Wright, Harry H.; Gabriels, Robin; Gilbert, John R.; Pericak-Vance, Margaret A. O.; Cuccaro, Michael L.

    2007-01-01

    Exploratory factor analysis (varimax and promax rotations) of the aberrant behavior checklist-community version (ABC) in 275 individuals with Autism spectrum disorder (ASD) identified four- and five-factor solutions which accounted for greater than 70% of the variance. Confirmatory factor analysis (Lisrel 8.7) revealed indices of moderate fit for…

  12. Individual patient data meta-analysis shows a significant association between the ATM rs1801516 SNP and toxicity after radiotherapy in 5456 breast and prostate cancer patients

    DEFF Research Database (Denmark)

    Andreassen, Christian Nicolaj; Rosenstein, Barry S; Kerns, Sarah L

    2016-01-01

    PURPOSE: Several small studies have indicated that the ATM rs1801516 SNP is associated with risk of normal tissue toxicity after radiotherapy. However, the findings have not been consistent. In order to test this SNP in a well-powered study, an individual patient data meta-analysis was carried ou...

  13. Analysis of factors associated with excess weight in school children

    Directory of Open Access Journals (Sweden)

    Renata Paulino Pinto

    Full Text Available Abstract Objective: To determine the prevalence of overweight and obesity in schoolchildren aged 10 to 16 years and its association with dietary and behavioral factors. Methods: Cross-sectional study that evaluated 505 adolescents using a structured questionnaire and anthropometric data. The data was analyzed through the T Test for independent samples and Mann-Whitney Test to compare means and medians, respectively, and Chi2 Test for proportions. Prevalence ratio (RP and the 95% confidence interval was used to estimate the degree of association between variables. The logistic regression was employed to adjust the estimates to confounding factors. The significance level of 5% was considered for all analysis. Results: Excess weight was observed in 30.9% of the schoolchildren: 18.2% of overweight and 12.7% of obesity. There was no association between weight alterations and dietary/behavioral habits in the bivariate and multivariate analyses. However, associations were observed in relation to gender. Daily consumption of sweets [PR=0.75 (0.64-0.88] and soft drinks [PR=0.82 (0.70-0.97] was less frequent among boys; having lunch daily was slightly more often reported by boys [OR=1.11 (1.02-1.22]. Physical activity practice of (≥3 times/week was more often mentioned by boys and the association measures disclosed two-fold more physical activity in this group [PR=2.04 (1.56-2.67] when compared to girls. Approximately 30% of boys and 40% of girls stated they did not perform activities requiring energy expenditure during free periods, with boys being 32% less idle than girls [PR=0.68 (0.60-0.76]. Conclusions: A high prevalence of both overweight and obesity was observed, as well as unhealthy habits in the study population, regardless of the presence of weight alterations. Health promotion strategies in schools should be encouraged, in order to promote healthy habits and behaviors among all students.

  14. Analysis of factors associated with excess weight in school children.

    Science.gov (United States)

    Pinto, Renata Paulino; Nunes, Altacílio Aparecido; de Mello, Luane Marques

    2016-12-01

    To determine the prevalence of overweight and obesity in schoolchildren aged 10 to 16 years and its association with dietary and behavioral factors. Cross-sectional study that evaluated 505 adolescents using a structured questionnaire and anthropometric data. The data was analyzed through the T Test for independent samples and Mann-Whitney Test to compare means and medians, respectively, and Chi(2) Test for proportions. Prevalence Ratio (RP) and the 95% confidence interval was used to estimate the degree of association between variables. The logistic regression was employed to adjust the estimates to confounding factors. The significance level of 5% was considered for all analysis. Excess weight was observed in 30.9% of the schoolchildren: 18.2% of overweight and 12.7% of obesity. There was no association between weight alterations and dietary/behavioral habits in the bivariate and multivariate analyses. However, associations were observed in relation to gender. Daily consumption of sweets [PR=0.75 (0.64-0.88)] and soft drinks [PR=0.82 (0.70-0.97)] was less frequent among boys; having lunch daily was slightly more often reported by boys [OR=1.11 (1.02-1.22)]. Physical activity practice of (≥3 times/week) was more often mentioned by boys and the association measures disclosed two-fold more physical activity in this group [PR=2.04 (1.56-2.67)] when compared to girls. Approximately 30% of boys and 40% of girls stated they did not perform activities requiring energy expenditure during free periods, with boys being 32% less idle than girls [PR=0.68 (0.60-0.76)]. A high prevalence of both overweight and obesity was observed, as well as unhealthy habits in the study population, regardless of the presence of weight alterations. Health promotion strategies in schools should be encouraged, in order to promote healthy habits and behaviors among all students. Copyright © 2016 Sociedade de Pediatria de São Paulo. Publicado por Elsevier Editora Ltda. All rights reserved.

  15. Immunohistochemistry profiles of breast ductal carcinoma: factor analysis of digital image analysis data

    Directory of Open Access Journals (Sweden)

    Laurinavicius Arvydas

    2012-03-01

    Full Text Available Abstract Background Molecular studies of breast cancer revealed biological heterogeneity of the disease and opened new perspectives for personalized therapy. While multiple gene expression-based systems have been developed, current clinical practice is largely based upon conventional clinical and pathologic criteria. This gap may be filled by development of combined multi-IHC indices to characterize biological and clinical behaviour of the tumours. Digital image analysis (DA with multivariate statistics of the data opens new opportunities in this field. Methods Tissue microarrays of 109 patients with breast ductal carcinoma were stained for a set of 10 IHC markers (ER, PR, HER2, Ki67, AR, BCL2, HIF-1α, SATB1, p53, and p16. Aperio imaging platform with the Genie, Nuclear and Membrane algorithms were used for the DA. Factor analysis of the DA data was performed in the whole group and hormone receptor (HR positive subgroup of the patients (n = 85. Results Major factor potentially reflecting aggressive disease behaviour (i-Grade was extracted, characterized by opposite loadings of ER/PR/AR/BCL2 and Ki67/HIF-1α. The i-Grade factor scores revealed bimodal distribution and were strongly associated with higher Nottingham histological grade (G and more aggressive intrinsic subtypes. In HR-positive tumours, the aggressiveness of the tumour was best defined by positive Ki67 and negative ER loadings. High Ki67/ER factor scores were strongly associated with the higher G and Luminal B types, but also were detected in a set of G1 and Luminal A cases, potentially indicating high risk patients in these categories. Inverse relation between HER2 and PR expression was found in the HR-positive tumours pointing at differential information conveyed by the ER and PR expression. SATB1 along with HIF-1α reflected the second major factor of variation in our patients; in the HR-positive group they were inversely associated with the HR and BCL2 expression and represented

  16. Immunohistochemistry profiles of breast ductal carcinoma: factor analysis of digital image analysis data.

    Science.gov (United States)

    Laurinavicius, Arvydas; Laurinaviciene, Aida; Ostapenko, Valerijus; Dasevicius, Darius; Jarmalaite, Sonata; Lazutka, Juozas

    2012-03-16

    Molecular studies of breast cancer revealed biological heterogeneity of the disease and opened new perspectives for personalized therapy. While multiple gene expression-based systems have been developed, current clinical practice is largely based upon conventional clinical and pathologic criteria. This gap may be filled by development of combined multi-IHC indices to characterize biological and clinical behaviour of the tumours. Digital image analysis (DA) with multivariate statistics of the data opens new opportunities in this field. Tissue microarrays of 109 patients with breast ductal carcinoma were stained for a set of 10 IHC markers (ER, PR, HER2, Ki67, AR, BCL2, HIF-1α, SATB1, p53, and p16). Aperio imaging platform with the Genie, Nuclear and Membrane algorithms were used for the DA. Factor analysis of the DA data was performed in the whole group and hormone receptor (HR) positive subgroup of the patients (n = 85). Major factor potentially reflecting aggressive disease behaviour (i-Grade) was extracted, characterized by opposite loadings of ER/PR/AR/BCL2 and Ki67/HIF-1α. The i-Grade factor scores revealed bimodal distribution and were strongly associated with higher Nottingham histological grade (G) and more aggressive intrinsic subtypes. In HR-positive tumours, the aggressiveness of the tumour was best defined by positive Ki67 and negative ER loadings. High Ki67/ER factor scores were strongly associated with the higher G and Luminal B types, but also were detected in a set of G1 and Luminal A cases, potentially indicating high risk patients in these categories. Inverse relation between HER2 and PR expression was found in the HR-positive tumours pointing at differential information conveyed by the ER and PR expression. SATB1 along with HIF-1α reflected the second major factor of variation in our patients; in the HR-positive group they were inversely associated with the HR and BCL2 expression and represented the major factor of variation. Finally, we

  17. Factors influencing ERP implementation in Indian SMEs: An empirical analysis

    Directory of Open Access Journals (Sweden)

    Rana Basu

    2011-04-01

    Full Text Available Enterprise Resource Planning (ERP is essentially a commercial software package that enables the integration of transaction - oriented data and business processes throughout an organization. In order to remain competitive in this global business scenario, the small and medium scale enterprises (SMEs are opting for ERP implementation. In Indian SME sector, the adoption of ERP is rapidly increasing. Literature shows many instances where organizations, even after implementing such novel information systems like ERP, are unable to derive the benefits of integration. It is, therefore, not surprising that implementation of enterprise information systems in general is quite difficult due to their size, scope and complexity. Therefore, there is a need to identify some issues that would lead to positive outcome for the implementation of ERP systems in the context of Indian SME sector. This paper thus attempts to identify and to prioritize the factors influencing proper implementation of ERP systems in a business organization particularly for Indian small and medium businesses (SMBs. The research presented here is specifically targeted the Indian SMEs, which have already completed the process of implementing ERP system.

  18. Complicated appendicitis: Analysis of risk factors in children

    Directory of Open Access Journals (Sweden)

    Mahavir Singh

    2014-01-01

    Full Text Available Background: Acute appendicitis (AA is the most common surgical emergency in childhood. The risk of rupture is negligible within the first 24 h, climbing to 6% after 36 h from the onset of symptoms. Because of difficulty in accurate diagnosis of AA a significant number of children still are being managed when it is already perforated. There is always a need to make an early diagnosis of AA and to find out the risk factors associated with development of complication in this condition. Patients and Methods: A total of 102 patients with a clinical diagnosis of AA were admitted during the study period. On admission, a good clinical history and proper physical examination was performed. All the eligible patients who finally diagnosed clinically as having AA were planned for emergency open appendectomy. The removed appendix was sent for histopathological examination in all the study subjects. Results: Out of 102 cases, 93 cases were histopathologically appendicitis, rest nine cases showed no evidence of inflammation so the rate of negative appendectomy was around 9%. On histopathology normal appendix was found in nine patients (8.9%, AA in 71 patients (69.6%, complicated appendicitis (CA which includes perforated and gangrenous appendicitis was present in 22 patients (21.5%. Perforations were more common in patients who were younger than 5 years. >60% patients presented with CA when the duration of pain was >72 h. Presence of appendicolith increased the probability of CA.

  19. Factor Analysis on Subsidy Preference of Private Forest Owners

    Institute of Scientific and Technical Information of China (English)

    Niandong; CHEN; Chunxia; ZHANG; Senwei; HUANG

    2013-01-01

    Forest farmers are the basic micro-subjects in southern collectively owned forest, and their willingness towards forest management directly influences forestry development. Thus, to provide subsidies to forest farmers is an important means to encourage the farmers’ enthusiasm to manage the forest and promote the healthy and sustainable development of private forest. In order to reduce the supply-demand contradictions and improve the implementation effects of the subsidies system, the design of the system should be based on the real needs of forest farmers. On this basis, a questionnaire survey was designed in this paper to study the preferences of forest farmers to different types of subsidies in the southern collectively owned forest and the influencing factors were analysed by the Logistic Model to search for the reasonable design of the system. It was concluded that the forest farmers with different backgrounds show different preference to the subsidies, which, to a certain extent, reflects the development bottlenecks of forestry, and lays a foundation for the design of subsidies system.

  20. Analysis of functional redundancies within the Arabidopsis TCP transcription factor family.

    Science.gov (United States)

    Danisman, Selahattin; van Dijk, Aalt D J; Bimbo, Andrea; van der Wal, Froukje; Hennig, Lars; de Folter, Stefan; Angenent, Gerco C; Immink, Richard G H

    2013-12-01

    Analyses of the functions of TEOSINTE-LIKE1, CYCLOIDEA, and PROLIFERATING CELL FACTOR1 (TCP) transcription factors have been hampered by functional redundancy between its individual members. In general, putative functionally redundant genes are predicted based on sequence similarity and confirmed by genetic analysis. In the TCP family, however, identification is impeded by relatively low overall sequence similarity. In a search for functionally redundant TCP pairs that control Arabidopsis leaf development, this work performed an integrative bioinformatics analysis, combining protein sequence similarities, gene expression data, and results of pair-wise protein-protein interaction studies for the 24 members of the Arabidopsis TCP transcription factor family. For this, the work completed any lacking gene expression and protein-protein interaction data experimentally and then performed a comprehensive prediction of potential functional redundant TCP pairs. Subsequently, redundant functions could be confirmed for selected predicted TCP pairs by genetic and molecular analyses. It is demonstrated that the previously uncharacterized class I TCP19 gene plays a role in the control of leaf senescence in a redundant fashion with TCP20. Altogether, this work shows the power of combining classical genetic and molecular approaches with bioinformatics predictions to unravel functional redundancies in the TCP transcription factor family.