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Sample records for factor analysis supported

  1. 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.

  2. A Quantitative Analysis of the Extrinsic and Intrinsic Turnover Factors of Relational Database Support Professionals

    Science.gov (United States)

    Takusi, Gabriel Samuto

    2010-01-01

    This quantitative analysis explored the intrinsic and extrinsic turnover factors of relational database support specialists. Two hundred and nine relational database support specialists were surveyed for this research. The research was conducted based on Hackman and Oldham's (1980) Job Diagnostic Survey. Regression analysis and a univariate ANOVA…

  3. Preoperative risk factor analysis in orthotopic liver transplantation with pretransplant artificial liver support therapy

    Institute of Scientific and Technical Information of China (English)

    Jin-Zhong Yuan; Qi-Fa Ye; Ling-Ling Zhao; Ying-Zi Ming; Hong Sun; Shai-Hong Zhu; Zu-Fa Huang; Min-Min Wang

    2006-01-01

    AIM: To assess the value of pre-transplant artificial liver support in reducing the pre-operative risk factors relating to early mortality after orthotopic liver transplantation (OLT).METHODS: Fifty adult patients with various stages and various etiologies undergoing OLT procedures were treated with molecular adsorbent recycling system (MARS) as preoperative liver support therapy. The study included two parts, the first one is to evaluate the medical effectiveness of single MARS treatment with some clinical and laboratory parameters, which were supposed to be the therapeutical pre-transplant risk factors, the second part is to study the patients undergoing OLT using the regression analysis on preoperative risk factors relating to early mortality (30 d)after OLT.RESULTS: In the 50 patients, the statistically significant improvement in the biochemical parameters was observed (pre-treatment and post-treatment). Eight patients avoided the scheduled Ltx due to significant relief of clinical condition or recovery of failing liver function, 8 patients died, 34 patients were successfully bridged to Ltx, the immediate outcome of this 34patients within 30d observation was: 28 kept alive and 6patients died.CONCLUSION: Pre-operative SOFA, level of creatinine,INR, TNF-α, IL-10 are the main preoperative risk factors that cause early death after operation, MARS treatment before transplantion can relieve these factors significantly.

  4. Confirmatory Factor Analysis of the Combined Social Phobia Scale and Social Interaction Anxiety Scale: Support for a Bifactor Model

    Science.gov (United States)

    Gomez, Rapson; Watson, Shaun D.

    2017-01-01

    For the Social Phobia Scale (SPS) and the Social Interaction Anxiety Scale (SIAS) together, this study examined support for a bifactor model, and also the internal consistency reliability and external validity of the factors in this model. Participants (N = 526) were adults from the general community who completed the SPS and SIAS. Confirmatory factor analysis (CFA) of their ratings indicated good support for the bifactor model. For this model, the loadings for all but six items were higher on the general factor than the specific factors. The three positively worded items had negligible loadings on the general factor. The general factor explained most of the common variance in the SPS and SIAS, and demonstrated good model-based internal consistency reliability (omega hierarchical) and a strong association with fear of negative evaluation and extraversion. The practical implications of the findings for the utilization of the SPS and SIAS, and the theoretical and clinical implications for social anxiety are discussed. PMID:28210232

  5. Confirmatory Factor Analysis of the Combined Social Phobia Scale and Social Interaction Anxiety Scale: Support for a Bifactor Model.

    Science.gov (United States)

    Gomez, Rapson; Watson, Shaun D

    2017-01-01

    For the Social Phobia Scale (SPS) and the Social Interaction Anxiety Scale (SIAS) together, this study examined support for a bifactor model, and also the internal consistency reliability and external validity of the factors in this model. Participants (N = 526) were adults from the general community who completed the SPS and SIAS. Confirmatory factor analysis (CFA) of their ratings indicated good support for the bifactor model. For this model, the loadings for all but six items were higher on the general factor than the specific factors. The three positively worded items had negligible loadings on the general factor. The general factor explained most of the common variance in the SPS and SIAS, and demonstrated good model-based internal consistency reliability (omega hierarchical) and a strong association with fear of negative evaluation and extraversion. The practical implications of the findings for the utilization of the SPS and SIAS, and the theoretical and clinical implications for social anxiety are discussed.

  6. Understanding the Support Needs of People with Intellectual and Related Developmental Disabilities through Cluster Analysis and Factor Analysis of Statewide Data

    Science.gov (United States)

    Viriyangkura, Yuwadee

    2014-01-01

    Through a secondary analysis of statewide data from Colorado, people with intellectual and related developmental disabilities (ID/DD) were classified into five clusters based on their support needs characteristics using cluster analysis techniques. Prior latent factor models of support needs in the field of ID/DD were examined to investigate the…

  7. Understanding the Support Needs of People with Intellectual and Related Developmental Disabilities through Cluster Analysis and Factor Analysis of Statewide Data

    Science.gov (United States)

    Viriyangkura, Yuwadee

    2014-01-01

    Through a secondary analysis of statewide data from Colorado, people with intellectual and related developmental disabilities (ID/DD) were classified into five clusters based on their support needs characteristics using cluster analysis techniques. Prior latent factor models of support needs in the field of ID/DD were examined to investigate the…

  8. Lungworm Infections in German dairy cattle herds--seroprevalence and GIS-supported risk factor analysis.

    Directory of Open Access Journals (Sweden)

    Anne-Marie Schunn

    Full Text Available In November 2008, a total of 19,910 bulk tank milk (BTM samples were obtained from dairy farms from all over Germany, corresponding to about 20% of all German dairy herds, and analysed for antibodies against the bovine lungworm Dictyocaulus viviparus by use of the recombinant MSP-ELISA. A total number of 3,397 (17.1%; n = 19,910 BTM samples tested seropositive. The prevalences in individual German federal states varied between 0.0% and 31.2% positive herds. A geospatial map was drawn to show the distribution of seropositive and seronegative herds per postal code area. ELISA results were further analysed for associations with land-use and climate data. Bivariate statistical analysis was used to identify potential spatial risk factors for dictyocaulosis. Statistically significant positive associations were found between lungworm seropositive herds and the proportion of water bodies and grassed area per postal code area. Variables that showed a statistically significant association with a positive BTM test were included in a logistic regression model, which was further refined by controlled stepwise selection of variables. The low Pseudo R(2 values (0.08 for the full model and 0.06 for the final model and further evaluation of the model by ROC analysis indicate that additional, unrecorded factors (e.g. management factors or random effects may substantially contribute to lungworm infections in dairy cows. Veterinarians should include lungworms in the differential diagnosis of respiratory disease in dairy cattle, particularly those at pasture. Monitoring of herds through BTM screening for antibodies can help farmers and veterinarians plan and implement appropriate control measures.

  9. Extracorporeal membrane oxygenation support in refractory cardiogenic shock: treatment strategies and analysis of risk factors.

    Science.gov (United States)

    Loforte, Antonio; Marinelli, Giuseppe; Musumeci, Francesco; Folesani, Gianluca; Pilato, Emanuele; Martin Suarez, Sofia; Montalto, Andrea; Lilla Della Monica, Paola; Grigioni, Francesco; Frascaroli, Guido; Menichetti, Antonio; Di Bartolomeo, Roberto; Arpesella, Giorgio

    2014-07-01

    . No significant differences were seen by comparing the RotaFlow and CentriMag populations in terms of device performance. At follow-up, persistent heart failure with left ventricle ejection fraction (LVEF)≤40% was a risk factor after hospital discharge. Patients with a poor hemodynamic status may benefit from rapid central or peripheral insertion of ECMO. The blood lactate level, CK-MB relative index, and PRBCs transfused should be strictly monitored during ECMO support. In addition, early ventricular assist device placement or urgent listing for heart transplant should be considered in patients with persistent impaired LVEF after ECMO.

  10. 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.

  11. Analysis Supporting Factors and Constraints LPMP Performance in Improving the Quality of Education in Jambi Province

    Science.gov (United States)

    Rosadi, Kemas Imron

    2015-01-01

    Development of education in Indonesia is based on three aspects, namely equity and expansion, quality and relevance, as well as good governance. Quality education is influenced by several factors related to quality education managerial leaders, limited funds, facilities, educational facilities, media, learning resources, tools and training…

  12. Environmental analysis support

    Energy Technology Data Exchange (ETDEWEB)

    Miller, R.L.

    1996-06-01

    Activities in environmental analysis support included assistance to the Morgantown and Pittsburgh Energy Technology Centers (METC and PETC) in reviewing and preparing documents required by the National Environmental Policy Act (NEPA) for projects selected for the Clean Coal Technology (CCT) Program. An important activity was the preparation for METC of a final Environmental Assessment (EA) for the proposed Externally Fired Combined Cycle (EFCC) Project in Warren, Pennsylvania. In addition, a post-project environmental analysis was prepared for PETC to evaluate the Demonstration of Advanced Combustion Techniques for a Tangentially-Fired Boiler in Lynn Haven, Florida.

  13. Using factor analysis scales of generalized amino acid information for prediction and characteristic analysis of β-turns in proteins based on a support vector machine model

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    This paper offers a new combined approach to predict and characterize β-turns in proteins.The approach includes two key steps,i.e.,how to represent the features of β-turns and how to develop a predictor.The first step is to use factor analysis scales of generalized amino acid information(FASGAI),involving hydrophobicity,alpha and turn propensities,bulky properties,compositional characteristics,local flexibility and electronic properties,to represent the features of β-turns in proteins.The second step is to construct a support vector machine(SVM) predictor of β-turns based on 426 training proteins by a sevenfold cross validation test.The SVM predictor thus predicted β-turns on 547 and 823 proteins by an external validation test,separately.Our results are compared with the previously best known β-turn prediction methods and are shown to give comparative performance.Most significantly,the SVM model provides some information related to β-turn residues in proteins.The results demonstrate that the present combination approach may be used in the prediction of protein structures.

  14. 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

  15. Support Vector Components Analysis

    NARCIS (Netherlands)

    van der Ree, Michiel; Roerdink, Johannes; Phillips, Christophe; Garraux, Gaetan; Salmon, Eric; Wiering, Marco

    2017-01-01

    In this paper we propose a novel method for learning a distance metric in the process of training Support Vector Machines (SVMs) with the radial basis function kernel. A transformation matrix is adapted in such a way that the SVM dual objective of a classification problem is optimized. By using a wi

  16. Critical Analysis of the Supportive and Suppressive Factors for the Children’s Literature Program in Malaysia

    Directory of Open Access Journals (Sweden)

    Siti Salina Mustakim

    2015-02-01

    Full Text Available Literature in Education (LIE is aimed at enhancing the pupils’ linguistic competence by providing an early beginning to a foundation in literature and literary works.  In 2006, the literature component was introduced to pupils in Malaysian primary schools through two programs: Contemporary Children’s Literature (CCL and Extensive Reading Program.  The literature program is viewed as a vehicle to provide an early exposure to pupils on literary genres to enhance their understanding and appreciation of people’s cultures, values, and traditions.  The primary aim of this study was to evaluate the provision of support, resources, training, and time allocation in the implementation of children’s literature among upper primary school teachers in Malaysia via the utilization of survey questionnaires, classroom observations and interviews.  This study was conducted in a district in the state of Selangor.  A sample of 56 upper primary school teachers from 19 schools were selected to answer the survey questionnaires.  Interviews were conducted in one selected school in the District.   The school was chosen based on the highest academic performance in the Malaysia Standard Examination for Primary Schools.   Data were analyzed using SPSS version 19, and coded manually.  Findings from survey indicated that 75% of the school management understand the objectives and goals of CCL in order to provide effective support to the program.  Majority of the respondents (82% agreed that the school management has allowed the English Language Department to manage its own expenses or resources for the program.   Almost three-fourths (71.4% of the respondents agreed that the provision of training and resources has produced capable and knowledgeable teachers to teach literature. However, the majority of the respondents (76.8% disagreed that the time allocation provides sufficient time for them to fulfil the requirements of teaching two textbooks in a year

  17. Evaluation of the reliability concerning the identification of human factors as contributing factors by a computer supported event analysis (CEA); Einfluss des Menschen auf die Sicherheit von Kernkraftwerken - Bewertung der Zuverlaessigkeit einer computergestuetzten Ereignisanalyse (CEA) in der Kernindustrie

    Energy Technology Data Exchange (ETDEWEB)

    Wilpert, B.; Maimer, H.; Loroff, C.

    2000-05-01

    The project's objectives are the evaluation of the reliability concerning the identification of Human Factors as contributing factors by a computer supported event analysis (CEA). CEA is a computer version of SOL (Safety through Organizational Learning). Parts of the first step were interviews with experts from the nuclear power industry and the evaluation of existing computer supported event analysis methods. This information was combined to a requirement profile for the CEA software. The next step contained the implementation of the software in an iterative process of evaluation. The completion of this project was the testing of the CEA software. As a result the testing demonstrated that it is possible to identify contributing factors with CEA validly. In addition, CEA received a very positive feedback from the experts. (orig.) [German] Ziel des Vorhabens ist die Entwicklung und Bewertung der Zuverlaessigkeit einer computergestuetzten Ereignisanalyse (CEA) in der Kernindustrie. CEA stellt eine Umsetzung des Ursachenanalyseverfahrens SOL (Sicherheit durch Organisationales Lernen) in eine Computerversion dar. In diesem Zusammenhang wurde ein an der Praxis orientiertes Anforderungsprofil an die Software erstellt. Grundlage bildeten hierfuer Interviews mit Experten aus der Kerntechnik und die Betrachtung bereits vorhandener computergestuetzter Verfahren. In einem iterativen Verbesserungsprozess wurde die Software erstellt. Den Abschluss bildete die Erprobung der Software. Es liess sich feststellen, dass mit CEA valide kontribuierende Faktoren identifiziert werden. Auch das Feedback der Experten zu CEA war ausnahmslos positiv. (orig.)

  18. 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...

  19. 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...

  20. Factors Related to Social Support in Neurological and Mental Disorders.

    Science.gov (United States)

    Kamenov, Kaloyan; Cabello, Maria; Caballero, Francisco Félix; Cieza, Alarcos; Sabariego, Carla; Raggi, Alberto; Anczewska, Marta; Pitkänen, Tuuli; Ayuso-Mateos, Jose Luis

    2016-01-01

    Despite the huge body of research on social support, literature has been primarily focused on its beneficial role for both physical and mental health. It is still unclear why people with mental and neurological disorders experience low levels of social support. The main objective of this study was to explore what are the strongest factors related to social support and how do they interact with each other in neuropsychiatric disorders. The study used cross-sectional data from 722 persons suffering from dementia, depression, epilepsy, migraine, multiple sclerosis, Parkinson's disease, schizophrenia, stroke, and substance use disorders. Multiple linear regressions showed that disability was the strongest factor for social support. Extraversion and agreeableness were significant personality variables, but when the interaction terms between personality traits and disability were included, disability remained the only significant variable. Moreover, level of disability mediated the relationship between personality (extraversion and agreeableness) and level of social support. Moderation analysis revealed that people that had mental disorders experienced lower levels of support when being highly disabled compared to people with neurological disorders. Unlike previous literature, focused on increasing social support as the origin of improving disability, this study suggested that interventions improving day-to-day functioning or maladaptive personality styles might also have an effect on the way people perceive social support. Future longitudinal research, however, is warranted to explore causality.

  1. Factors Related to Social Support in Neurological and Mental Disorders.

    Directory of Open Access Journals (Sweden)

    Kaloyan Kamenov

    Full Text Available Despite the huge body of research on social support, literature has been primarily focused on its beneficial role for both physical and mental health. It is still unclear why people with mental and neurological disorders experience low levels of social support. The main objective of this study was to explore what are the strongest factors related to social support and how do they interact with each other in neuropsychiatric disorders. The study used cross-sectional data from 722 persons suffering from dementia, depression, epilepsy, migraine, multiple sclerosis, Parkinson's disease, schizophrenia, stroke, and substance use disorders. Multiple linear regressions showed that disability was the strongest factor for social support. Extraversion and agreeableness were significant personality variables, but when the interaction terms between personality traits and disability were included, disability remained the only significant variable. Moreover, level of disability mediated the relationship between personality (extraversion and agreeableness and level of social support. Moderation analysis revealed that people that had mental disorders experienced lower levels of support when being highly disabled compared to people with neurological disorders. Unlike previous literature, focused on increasing social support as the origin of improving disability, this study suggested that interventions improving day-to-day functioning or maladaptive personality styles might also have an effect on the way people perceive social support. Future longitudinal research, however, is warranted to explore causality.

  2. Analysis Of Factors Affecting Gravity-Induced Deflection For Large And Thin Wafers In Flatness Measurement Using Three-Point-Support Method

    Directory of Open Access Journals (Sweden)

    Liu Haijun

    2015-12-01

    Full Text Available Accurate flatness measurement of silicon wafers is affected greatly by the gravity-induced deflection (GID of the wafers, especially for large and thin wafers. The three-point-support method is a preferred method for the measurement, in which the GID uniquely determined by the positions of the supports could be calculated and subtracted. The accurate calculation of GID is affected by the initial stress of the wafer and the positioning errors of the supports. In this paper, a finite element model (FEM including the effect of initial stress was developed to calculate GID. The influence of the initial stress of the wafer on GID calculation was investigated and verified by experiment. A systematic study of the effects of positioning errors of the support ball and the wafer on GID calculation was conducted. The results showed that the effect of the initial stress could not be neglected for ground wafers. The wafer positioning error and the circumferential error of the support were the most influential factors while the effect of the vertical positioning error was negligible in GID calculation.

  3. 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)

  4. Modeling PMESII Factors to Support Strategic Education

    Science.gov (United States)

    2008-06-11

    Government Friendly Faction Cuban Americans Support for Ruling Govt Support for Ruling Govt Havana Santiago de Cuba Camaguey Support for the ruling...distract from ongoing exercise cycle – Implement running start Scenario authors: pursue PMESII trial: notional educational Cuba scenario Several emerging...educational scenario – PMESII capability brief – JFCOM and USAWC had independent Cuba representations – Provided scenario documentation Iterative

  5. Nutrition support practice: a study of factors inherent in the delivery of nutrition support services.

    Science.gov (United States)

    Agriesti-Johnson, C; Dwyer, K; Steinbaugh, M

    1988-01-01

    The purpose of this study was to determine the degree of intercorrelation among dietitian, physician, and team nutrition support functions. Eight hundred and eighty dietitians and physicians were asked to respond to a questionnaire describing nutrition support functions as reported in the literature and validated by a panel of nutrition support physicians and dietitians. Two hundred and fifty-four completed questionnaires were included in the study, 84 from physicians and 170 from dietitians. Intercorrelations among function statements were subjected to factor analysis. The magnitude and consistency of factor loadings suggest that nutrition support is not perceived as independent components, but as a comprehensive pattern or structure. However, there was one important difference in perception. The sample tended to have an "enteral" orientation to the dietitian role and a "parenteral" orientation to the physician and team roles. The data support the contention that all members of nutrition support teams need a common core of knowledge and a set of highly developed process skills which can best be attained through an integrated, rather than segmented, approach to team training.

  6. DISTRIBUTED LEADERSHIP COLLABORATION FACTORS TO SUPPORT IDEA GENERATION IN COMPUTER-SUPPORTED COLLABORATIVE e-LEARNING

    Directory of Open Access Journals (Sweden)

    Niki Lambropoulos

    2011-01-01

    Full Text Available This paper aims to identify, discuss and analyze students’ collaboration factors related to distributed leadership (DL, which correlates with interaction quality evident in idea generation. Scripting computer-supported collaborative e-learning (CSCeL activities based on DL can scaffold students’ interactions that support collaboration and promote idea generation. Furthermore, the associated tools can facilitate collaboration via scripting and shed light on students’ interactions and dialogical sequences. Such detailed planning can result in effective short e-courses. In this case study, 21 MSc students’ teams worked on a DL project within a 2-day e-course at the IT Institute (ITIN, France. The research methods involved a self-reported questionnaire; the Non-Negative Matrix Factorization (NNMF algorithm with qualitative analysis; and outcomes from the Social Network Analysis (SNA tools implemented within the forums. The results indicated that scripting DL based on the identified distributed leadership attributes can support values such as collaboration and can be useful in supporting idea generation in short e-courses.

  7. Factors promoting breast feeding and nursing support

    OpenAIRE

    仲村, 美津枝; Nakamura, Mitsue; 琉球大学医学部保健学科小児看護学教室

    2002-01-01

    This paper aims at describing factors for promoting breastfeeding among working and nonworking mothers. It's also aims at helping them with breastfeeding from the nursing viewpoint. We surveyed the factors for continuing breastfeeding by following up postpartum mothers. We also surveyed the perception of breastfeeding the staff in obstetrical clinics and hospital. From our results, we found the following; 1) Mothers who continued breastfeeding for three months were significantly higher than t...

  8. Socioeconomic Factors Affecting Local Support for Black Bear Recovery Strategies

    Science.gov (United States)

    Morzillo, Anita T.; Mertig, Angela G.; Hollister, Jeffrey W.; Garner, Nathan; Liu, Jianguo

    2010-06-01

    There is global interest in recovering locally extirpated carnivore species. Successful efforts to recover Louisiana black bear in Louisiana have prompted interest in recovery throughout the species’ historical range. We evaluated support for three potential black bear recovery strategies prior to public release of a black bear conservation and management plan for eastern Texas, United States. Data were collected from 1,006 residents living in proximity to potential recovery locations, particularly Big Thicket National Preserve. In addition to traditional logistic regression analysis, we used conditional probability analysis to statistically and visually evaluate probabilities of public support for potential black bear recovery strategies based on socioeconomic characteristics. Allowing black bears to repopulate the region on their own (i.e., without active reintroduction) was the recovery strategy with the greatest probability of acceptance. Recovery strategy acceptance was influenced by many socioeconomic factors. Older and long-time local residents were most likely to want to exclude black bears from the area. Concern about the problems that black bears may cause was the only variable significantly related to support or non-support across all strategies. Lack of personal knowledge about black bears was the most frequent reason for uncertainty about preferred strategy. In order to reduce local uncertainty about possible recovery strategies, we suggest that wildlife managers focus outreach efforts on providing local residents with general information about black bears, as well as information pertinent to minimizing the potential for human-black bear conflict.

  9. Prevalence and risk factors for intimate partner violence among Grade 8 learners in urban South Africa: baseline analysis from the Skhokho Supporting Success cluster randomised controlled trial.

    Science.gov (United States)

    Shamu, Simukai; Gevers, Anik; Mahlangu, B Pinky; Jama Shai, P Nwabisa; Chirwa, Esnat D; Jewkes, Rachel K

    2016-01-01

    Intimate partner violence (IPV) is a serious public health problem among adolescents. This study investigated the prevalence of and factors associated with Grade 8 girls' experience and boys' perpetration of IPV in South Africa. Participants were interviewed using interviewer-administered questionnaires about IPV, childhood violence, bullying, gender attitudes, alcohol use and risky sexual behaviours. Multiple logistic regression analysis was conducted to assess factors associated with girls' experience and boys' perpetration of IPV. Structural equation modelling (SEM) was conducted to assess the pathways to IPV experience and perpetration. Results show dating relationships are common among girls (52.5%) and boys (70.7%) and high prevalence of sexual or physical IPV experience by girls (30.9%; 95% CI: 28.2-33.7) and perpetration by boys (39.5%; 95% CI: 36.6-42.3). The logistic regression model showed factors associated with girls' experience of IPV include childhood experience of violence, individual gender inequitable attitudes, corporal punishment at home and in school, alcohol use, wider communication with one's partner and being more negative about school. We found three pathways from childhood trauma to IPV experience and perpetration in both models and these are through inequitable gender attitudes and risky sex, bullying and alcohol use. Prevention of IPV in children needs to encompass prevention of exposure to trauma in childhood and addressing gender attitudes and social norms to encourage positive disciplining approaches. : The trial is registered on ClinicalTrials.gov as NCT02349321. © The Author 2015. Published by Oxford University Press on behalf of Royal Society of Tropical Medicine and Hygiene. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

  10. Factoring - financial instrument supporting the current activity of an enterprise

    Directory of Open Access Journals (Sweden)

    Dorota Czerwińska-Kayzer

    2009-01-01

    Full Text Available Small and medium enterprises have a difficult access to classic financial sources. Therefore the factoring could be a financial instrument supporting effective management of the liabilities. Factoring improves the financial situation of a company, first of all financial liquidity. Moreover, factoring improves structure of financial statement and creates a possibility of risk transfer of debtor insolvency on factor.

  11. ECRB ALCOVE AND NICHE GROUND SUPPORT ANALYSIS

    Energy Technology Data Exchange (ETDEWEB)

    J.W. Keifer

    1999-05-09

    The purpose of the analysis is to provide design bases for Enhanced Characterization of the Repository Block (ECRB) alcove and niche ground support drawings. The objective is to evaluate the ESF Alcove Ground Support Analysis (Ref 5.1) to determine if the calculations technically bound the ECRB alcoves and to address specific differences in the conditions and constraints.

  12. Factors Related to Sustained Implementation of Schoolwide Positive Behavior Support

    Science.gov (United States)

    McIntosh, Kent; Mercer, Sterett H.; Hume, Amanda E.; Frank, Jennifer L.; Turri, Mary G.; Mathews, Susanna

    2013-01-01

    The purpose of this study was to identify factors associated with sustainability of school-based interventions and the relative contributions of those factors to predicting sustained implementation of Schoolwide Positive Behavior Support (SWPBS). Participants were respondents from 217 schools across 14 U.S. states. Sustainability factors were…

  13. Design and analysis of heliostat support structure

    Energy Technology Data Exchange (ETDEWEB)

    Zang Chuncheng; Wang Zhifeng [Inst. of Electrical Engineering, CAS, BJ (China); Liu Xiaobing; Zhang Xiliang [Himin Solar Energy Group Co. Ltd, Dezhou, SD (China); Wang Yanzhong [Beijing Univ. of Aeronautics and Astronautics, BJ (China)

    2008-07-01

    The design method of the heliostat support structure with the aim of reducing the cost maximally is described in this paper. In order to guarantee the strength, stiffness and stability of the structure, dynamic performance and static performance including internal stress and distortion are analyzed by means of VSAP (Visual Structural Analysis Program) finite element computational software. Then the support structure is optimized on the basis of the analysis. (orig.)

  14. 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...

  15. 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…

  16. 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

  17. Prognostic factors of effectiveness of a support programme for caregivers of dementia patients

    NARCIS (Netherlands)

    Vernooij-Dassen, M.J.F.J.; Lamers, C.; Bor, J.H.J.; Felling, A.J.A.; Grol, R.P.T.M.

    2000-01-01

    In a randomized controlled study, positive effects were found of a support program for caregivers of dementia patients. The aim of this study is to identify in a secondary analysis the prognostic factors of success of the support program by comparing characteristics of patients and primary caregiver

  18. 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

  19. Positive Behavior Support and Applied Behavior Analysis

    Science.gov (United States)

    Johnston, J. M.; Foxx, R. M.; Jacobson, J. W.; Green, G.; Mulick, J. A.

    2006-01-01

    This article reviews the origins and characteristics of the positive behavior support (PBS) movement and examines those features in the context of the field of applied behavior analysis (ABA). We raise a number of concerns about PBS as an approach to delivery of behavioral services and its impact on how ABA is viewed by those in human services. We…

  20. Caregiver Support Groups: Factors Affecting Use of Services.

    Science.gov (United States)

    Monahan, Deborah J.; And Others

    1992-01-01

    Examined effects of factors on support group attendance among family caregivers to frail elderly relatives. Found that attendance by primary caregivers was greater for those who were older, who had secondary informal caregiver involved in providing care, or who had significant health problems. Attendance was greater for those caring for…

  1. Better economics: supporting adaptation with stakeholder analysis

    Energy Technology Data Exchange (ETDEWEB)

    Chambwera, Muyeye; Zou, Ye; Boughlala, Mohamed

    2011-11-15

    Across the developing world, decision makers understand the need to adapt to climate change — particularly in agriculture, which supports a large proportion of low-income groups who are especially vulnerable to impacts such as increasing water scarcity or more erratic weather. But policymakers are often less clear about what adaptation action to take. Cost-benefit analyses can provide information on the financial feasibility and economic efficiency of a given policy. But such methods fail to capture the non-monetary benefits of adaptation, which can be even more important than the monetary ones. Ongoing work in Morocco shows how combining cost-benefit analysis with a more participatory stakeholder analysis can support effective decision making by identifying cross-sector benefits, highlighting areas of mutual interest among different stakeholders and more effectively assessing impacts on adaptive capacity.

  2. Tools for Life Support Systems Analysis

    Science.gov (United States)

    Lange, K.; Ewert, M.

    An analysis of the optimum level of closure of a life support system is a complex task involving hundreds, if not thousands, of parameters. In the absence of complete data on candidate technologies and a complete definition of the mission architecture and requirements, many assumptions are necessary. Because of the large number of parameters, it is difficult to fully comprehend and compare studies performed by different analysts. The Systems Integration, Modeling, and Analysis (SIMA) Project Element within NASA's Advanced Life Support (ALS) Project has taken measures to improve this situation by issuing documents that define ALS requirements, baseline assumptions, and reference missions. As a further step to capture and retain available knowledge and to facilitate system-level studies, various software tools are being developed. These include a database tool for storing, organizing, and updating technology parameters, modeling tools for evaluating time-average and dynamic system performance, and sizing tools for estimating overall system mass, volume, power, cooling, logistics, and crew time. This presentation describes ongoing work on the development and integration of these tools for life support systems analysis.

  3. 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…

  4. Scientific Data Analysis and Software Support: Geodynamics

    Science.gov (United States)

    Klosko, Steven; Sanchez, B. (Technical Monitor)

    2000-01-01

    The support on this contract centers on development of data analysis strategies, geodynamic models, and software codes to study four-dimensional geodynamic and oceanographic processes, as well as studies and mission support for near-Earth and interplanetary satellite missions. SRE had a subcontract to maintain the optical laboratory for the LTP, where instruments such as MOLA and GLAS are developed. NVI performed work on a Raytheon laser altimetry task through a subcontract, providing data analysis and final data production for distribution to users. HBG had a subcontract for specialized digital topography analysis and map generation. Over the course of this contract, Raytheon ITSS staff have supported over 60 individual tasks. Some tasks have remained in place during this entire interval whereas others have been completed and were of shorter duration. Over the course of events, task numbers were changed to reflect changes in the character of the work or new funding sources. The description presented below will detail the technical accomplishments that have been achieved according to their science and technology areas. What will be shown is a brief overview of the progress that has been made in each of these investigative and software development areas. Raytheon ITSS staff members have received many awards for their work on this contract, including GSFC Group Achievement Awards for TOPEX Precision Orbit Determination and the Joint Gravity Model One Team. NASA JPL gave the TOPEX/POSEIDON team a medal commemorating the completion of the primary mission and a Certificate of Appreciation. Raytheon ITSS has also received a Certificate of Appreciation from GSFC for its extensive support of the Shuttle Laser Altimeter Experiment.

  5. Family Support and Motivation Factors Involved in Youth Football Training Analysis%青少年足球训练参与家庭支持动机及影响因素分析

    Institute of Scientific and Technical Information of China (English)

    王玉; 万勃

    2016-01-01

    Objective:Determine the stage of adolescent family members to participate in this process, the main mo-tivation to support its football training and the appropriate factors to explore the mechanism of influencing factors.Method:Introduce dichotomous dependent variable Probit regression model distinguish motivation to support a sig-nificant degree of structural analytical model to explain the hierarchical relationship between the various factors.Results:Impact on families involved in supporting youth football training fitness motivation mainly in health sup-port, interest support, athletic support three aspects; motivation to improve family support mechanisms and the need to consider characteristics of each level influencing factors.%确定现阶段青少年家庭成员对其足球训练参与这一过程的主要支持动机及相应影响因素,探索影响因素之间的作用机制。方法:引入二分因变量Probit回归模型区分动机支持显著度,以结构解释模型解析各影响因素之间的层级关系。结果:影响家庭对青少年足球训练参与支持动机主要表现在健身健康支持、兴趣爱好支持、运动天赋支持三个方面;改进家庭支持动机需综合考虑各类影响因素的作用机制及层次特征。

  6. Dynamic Analysis of Foundation Supporting Rotary Machine

    Directory of Open Access Journals (Sweden)

    Utkarsh S. Patel

    2015-08-01

    Full Text Available With the advancement of technology in the field of industry, high speed machinery has been developed. As the speed of machinery has increased, vibrations also increased. Machines transmit vibrations to the structure supporting them. Hence, it is important to design and develop such structure which sustains the vibrations of machinery. Hence, in this study it has been aimed to execute the study on foundations supporting rotary type of machine like blower. In this paper, the most important parameters like frequency and amplitude are considered while execution of analysis of machine foundation supporting blower type machine. This paper shows, better interface between foundation designer and machine manufacturer for better performance of machine. The design aids/approaches for foundation design is also described in this paper and an attempt has been made to study the dynamic behaviour of a foundation structure for blower type machine subjected to forces due to operation of blower machine. Two different types of foundations for Rotary type Machine that is Blower have been studied in this paper

  7. SUPPORT VECTOR MACHINE FOR STRUCTURAL RELIABILITY ANALYSIS

    Institute of Scientific and Technical Information of China (English)

    LI Hong-shuang; L(U) Zhen-zhou; YUE Zhu-feng

    2006-01-01

    Support vector machine (SVM) was introduced to analyze the reliability of the implicit performance function, which is difficult to implement by the classical methods such as the first order reliability method (FORM) and the Monte Carlo simulation (MCS). As a classification method where the underlying structural risk minimization inference rule is employed, SVM possesses excellent learning capacity with a small amount of information and good capability of generalization over the complete data. Hence,two approaches, i.e., SVM-based FORM and SVM-based MCS, were presented for the structural reliability analysis of the implicit limit state function. Compared to the conventional response surface method (RSM) and the artificial neural network (ANN), which are widely used to replace the implicit state function for alleviating the computation cost,the more important advantages of SVM are that it can approximate the implicit function with higher precision and better generalization under the small amount of information and avoid the "curse of dimensionality". The SVM-based reliability approaches can approximate the actual performance function over the complete sampling data with the decreased number of the implicit performance function analysis (usually finite element analysis), and the computational precision can satisfy the engineering requirement, which are demonstrated by illustrations.

  8. 军用油料供应安全影响因素分析与控制研究%Analysis and Control of Safety Factors in Military POL Support

    Institute of Scientific and Technical Information of China (English)

    王耀; 雍歧东; 宋振宇

    2011-01-01

    The paper defines the concept of safety of military POL support, outlines the safety classes, analyzes the influence factors and proposes the safety management methods for different links of POL support.%界定了军用油料供应安全概念,划分了安全类别,分析了影响油料供应安全的因素,并针对油料供应的不同环节,提出了油料供应安全控制的方法.

  9. Internet cancer support groups: a feminist analysis.

    Science.gov (United States)

    Im, Eun-Ok; Chee, Wonshik; Tsai, Hsiu-Min; Lin, Li-Chen; Cheng, Ching-Yu

    2005-01-01

    Internet Cancer Support Groups (ICSGs) are an emerging form of support group on Internet specifically for cancer patients. Previous studies have indicated the effectiveness of ICSGs as a research setting or a data-collection method. Yet recent studies have also indicated that ICSGs tend to serve highly educated, high-income White males who tend to be at an early stage of cancer. In this article, a total of 317 general ICSGs and 229 ethnic-specific ICSGs searched through Google.com, Yahoo.com, Msn.com, AOL.com, and ACOR.org are analyzed from a feminist perspective. The written records of group discussions and written memos by the research staff members were also analyzed using content analysis. The idea categories that emerged about these groups include (a) authenticity issues; (b) ethnicity and gender issues; (c) intersubjectivity issues; and (d) potential ethical issues. The findings suggest that (a) researchers adopt multiple recruitment strategies through various Internet sites and/or real settings; (b) researchers raise their own awareness of the potential influences of the health-related resources provided by ICSGs and regularly update their knowledge related to the federal and state standards and/or policies related to ICSGs; and (c) researchers consider adopting a quota-sampling method.

  10. Development Factors of Shipping Industry Special Zone to Support Regional Innovation System

    Directory of Open Access Journals (Sweden)

    Eko Budi Santoso

    2014-12-01

    Full Text Available The central government has established the industry road map through MP3EI to support the shipbuilding industry. The region of Surabaya, Gresik, Lamongan and Tuban areas will be developed as the national shipping industry. The purpose of this study is to f ormulate the shipbuilding industry development cooperation to support the development of regional innovation systems. The goal and objectives are to identify the type of support the shipbuilding industry in Lamongan, to obtain a general picture of the existing condition of shipbuilding industries and the subsequent descriptive analysis to identify factors that influence the development of the shipbuilding industry. The method is using a theoretical review of the literature and the descriptive analysis of the results of depth interviews with stakeholders in Lamongan. The results of this study are the factors that influence the development of the shipbuilding industry.

  11. 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

  12. Sediment Analysis Network for Decision Support (SANDS)

    Science.gov (United States)

    Hardin, D. M.; Keiser, K.; Graves, S. J.; Conover, H.; Ebersole, S.

    2009-12-01

    Since the year 2000, Eastern Louisiana, coastal Mississippi, Alabama, and the western Florida panhandle have been affected by 28 tropical storms, seven of which were hurricanes. These tropical cyclones have significantly altered normal coastal processes and characteristics in the Gulf region through sediment disturbance. Although tides, seasonality, and agricultural development influence suspended sediment and sediment deposition over periods of time, tropical storm activity has the capability of moving the largest sediment loads in the shortest periods of time for coastal areas. The importance of sediments upon water quality, coastal erosion, habitats and nutrients has made their study and monitoring vital to decision makers in the region. Currently agencies such as United States Army Corps of Engineers (USACE), NASA, and Geological Survey of Alabama (GSA) are employing a variety of in-situ and airborne based measurements to assess and monitor sediment loading and deposition. These methods provide highly accurate information but are limited in geographic range, are not continuous over a region and, in the case of airborne LIDAR are expensive and do not recur on a regular basis. Multi-temporal and multi-spectral satellite imagery that shows tropical-storm-induced suspended sediment and storm-surge sediment deposits can provide decision makers with immediate and long-term information about the impacts of tropical storms and hurricanes. It can also be valuable for those conducting research and for projects related to coastal issues such as recovery, planning, management, and mitigation. The recently awarded Sediment Analysis Network for Decision Support will generate decision support products using NASA satellite observations from MODIS, Landsat and SeaWiFS instruments to support resource management, planning, and decision making activities in the Gulf of Mexico. Specifically, SANDS will generate decision support products that address the impacts of tropical storms

  13. Modifiable Factors that Support Political Participation by Nurses.

    Science.gov (United States)

    Woodward, Bobbi; Smart, Denise; Benavides-Vaello, Sandra

    2016-01-01

    Political participation is an opportunity for individuals to give their time and energy in such a way that it benefits others and advances relevant agendas. Political participation is a key issue for nurses because they are familiar with clinical issues that directly impact health care policies instituted at the local, state, and federal levels. Collectively, nurses also represent the largest number of health care providers in the United States and are among the most trusted health professionals. However, there are many obstacles that prevent nurses from taking a more active role in politics, creating a gap in how nurses pursue and respond to political participation, or civic engagement. The purpose of this exploratory review is to identify modifiable factors that support political participation among nurses. A review of the extant literature revealed three primary factors that promote civic engagement among nurses: (a) integration of political education in the nursing curriculum; (b) value of active psychological engagement, including a personal interest in political knowledge and information; and (c) value of collective influence such as membership in professional organizations.

  14. Factors Affecting Ankle Support Device Usage in Young Basketball Players

    Directory of Open Access Journals (Sweden)

    Michael D. Cusimano

    2013-05-01

    Full Text Available This cross-sectional study explores factors affecting the decision of basketball players to wear ankle support devices (ASDs. A questionnaire regarding attitudes towards ASD usage was developed based on the Health Belief Model (HBM. The questionnaire assessed HBM perceptions (susceptibility, severity, benefits, and barriers and modifying factors (demographic, personal history of ankle injury, influence of coach to preventive action that may affect an athlete’s decision to wear ASDs. One hundred forty basketball players competing at the recreational, high school, or university levels completed the questionnaire, with the questionnaires being completed at the basketball gymnasium or at home. It was found that athletes whose coaches enforced ASD use were significantly more likely to wear them (OR: 35.71; 95% CI: 10.01, 127.36, as were athletes who perceived ankle injuries to be severe (OR: 2.77; 95% CI: 1.04, 7.37. Previous injury did not significantly increase the odds of using an ASD. The combined influence of coach enforcement and previous injury had the greatest effect on increasing ASD use. The largest barrier to ASD use was a lack of aesthetic appeal. Strategies aimed at increasing players’ willingness to wear ankle protection should be emphasized among coaches and parents as this may increase use of ASDs.

  15. 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

  16. A prototype auto-human support system for spatial analysis

    Institute of Scientific and Technical Information of China (English)

    LI Lianfa; WANG Jinfeng

    2006-01-01

    Spatial analysis is a multidisciplinary field that involves multiple influential factors, variation and uncertainty, and modeling of geospatial data is a complex procedure affected by spatial context, mechanism and assumptions. In order to make spatial modeling easier, some scholars have suggested a lot of knowledge from exploratory data analysis (EDA), specification of the model, fitness and diagnosis of the model, to interpretation of the model. Also an amount of software has improved some functionalities of spatial analysis, e.g. EDA by the dynamic link (GeoDa) and robust statistical calculation (R). However, there are few programs for spatial analysis that can automatically deal with unstructured declarative issues and uncertainty in machine modeling using the domain knowledge. Under this context, this paper suggests a prototype support system for spatial analysis that can automatically use experience and knowledge from the experts to deal with complexity and uncertainty in modeling. The knowledge base component, as the major contribution of the system, in support of the expert system shell, codes and stores declarative modeling knowledge, e.g. spatial context, mechanisms and prior knowledge to deal with declarative issues during the modeling procedure. With the open architecture, the system integrates functionalities of other components, e.g. GIS' visualization, DBMS, and robust calculation in an interactive environment. An application case of spatial sampling, design and implementation of spatial modeling with such a system is demonstrated.

  17. 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.

  18. 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…

  19. Factors Supporting Cysteine Tolerance and Sulfite Production in Candida albicans

    Science.gov (United States)

    Hennicke, Florian; Grumbt, Maria; Lermann, Ulrich; Ueberschaar, Nico; Palige, Katja; Böttcher, Bettina; Jacobsen, Ilse D.; Staib, Claudia; Morschhäuser, Joachim; Monod, Michel; Hube, Bernhard; Hertweck, Christian

    2013-01-01

    The amino acid cysteine has long been known to be toxic at elevated levels for bacteria, fungi, and humans. However, mechanisms of cysteine tolerance in microbes remain largely obscure. Here we show that the human pathogenic yeast Candida albicans excretes sulfite when confronted with increasing cysteine concentrations. Mutant construction and phenotypic analysis revealed that sulfite formation from cysteine in C. albicans relies on cysteine dioxygenase Cdg1, an enzyme with similar functions in humans. Environmental cysteine induced not only the expression of the CDG1 gene in C. albicans, but also the expression of SSU1, encoding a putative sulfite efflux pump. Accordingly, the deletion of SSU1 resulted in enhanced sensitivity of the fungal cells to both cysteine and sulfite. To study the regulation of sulfite/cysteine tolerance in more detail, we screened a C. albicans library of transcription factor mutants in the presence of sulfite. This approach and subsequent independent mutant analysis identified the zinc cluster transcription factor Zcf2 to govern sulfite/cysteine tolerance, as well as cysteine-inducible SSU1 and CDG1 gene expression. cdg1Δ and ssu1Δ mutants displayed reduced hypha formation in the presence of cysteine, indicating a possible role of the newly proposed mechanisms of cysteine tolerance and sulfite secretion in the pathogenicity of C. albicans. Moreover, cdg1Δ mutants induced delayed mortality in a mouse model of disseminated infection. Since sulfite is toxic and a potent reducing agent, its production by C. albicans suggests diverse roles during host adaptation and pathogenicity. PMID:23417561

  20. 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

  1. 框支密肋复合墙梁竖向承载力影响因素分析%ANALYSIS OF FACTORS INFLUENCING PERFORMANCE OF FRAME-SUPPORTED MULTI-RIBBED WALL BEAM UNDER VERTICAL LOAD

    Institute of Scientific and Technical Information of China (English)

    庞乃勇; 贾英杰; 夏雷

    2012-01-01

    以框支密肋复合墙梁为研究对象,通过有限元分析,改变上部密肋复合墙板的划分形式、边框柱尺寸以及填充砌块与密肋框格的弹性模量比等性能参数,研究竖向荷载作用下框支密肋托墙梁的受力机理及墙板参数对托梁受力的影响,进而对框支密肋复合墙梁的优化设计提出要求,为工程实践提供参考。%FEM was employed to study frame-supported multi-ribbed wall beam under vertical load. Using the changes in performance parameters such as divided form of wall, the size of the side column and the ratio of in-filled block and multi-ribbed frame, the mechanism of frame-supported multi-ribbed wall beam and the influencing factors of the parameters of wall to the wall beam are studied. Which provides references for the optimization and engineering practice of frame-supported multi-ribbed wall.

  2. 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”.

  3. 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…

  4. A SWOT analysis of Planning Support Systems

    NARCIS (Netherlands)

    Vonk, G.; Geertman, S.; Schot, P.P.

    2007-01-01

    Insight into the strengths, weaknesses, opportunities, and threats (SWOT) of planning support systems (PSS) is fragmented between users and system developers. The lack of combined insights blocks development in the right direction and makes potential users hesitant to apply PSS in planning. This stu

  5. A SWOT analysis of Planning Support Systems

    NARCIS (Netherlands)

    Vonk, G.; Geertman, S.; Schot, P.P.

    2007-01-01

    Insight into the strengths, weaknesses, opportunities, and threats (SWOT) of planning support systems (PSS) is fragmented between users and system developers. The lack of combined insights blocks development in the right direction and makes potential users hesitant to apply PSS in planning. This

  6. Human-factors engineering for smart transport: design support for car drivers and train traffic controllers.

    Science.gov (United States)

    Lenior, Dick; Janssen, Wiel; Neerincx, Mark; Schreibers, Kirsten

    2006-07-01

    The theme Smart Transport can be described as adequate human-system symbiosis to realize effective, efficient and human-friendly transport of goods and information. This paper addresses how to attune automation to human (cognitive) capacities (e.g. to take care of information uncertainty, operator trust and mutual man-machine adaptations). An introduction to smart transport is presented, including examples of best practice for engineering human factors in the vehicle ergonomics and train traffic control domain. The examples are representative of an ongoing trend in automation and they show how the human role changes from controller to supervisor. Section 2 focuses on the car driver and systems that support, or sometimes even take over, critical parts of the driving task. Due to the diversity of driver ability, driving context and dependence between driver and context factors, there is a need for personalised, adaptive and integrated support. Systematic research is needed to establish sound systems. Section 3 focuses on the train dispatcher support systems that predict train movements, detect potential conflicts and show the dispatcher the possibilities available to solve the detected problems. Via thorough analysis of both the process to be controlled and the dispatcher's tasks and cognitive needs, support functions were developed as part of an already very complex supervision and control system. The two examples, although from a different field, both show the need for further development in cognitive modelling as well as for the value of sound ergonomics task analysis in design practice.

  7. A Lexical Analysis Tool with Ambiguity Support

    CERN Document Server

    Quesada, Luis; Cortijo, Francisco J

    2012-01-01

    Lexical ambiguities naturally arise in languages. We present Lamb, a lexical analyzer that produces a lexical analysis graph describing all the possible sequences of tokens that can be found within the input string. Parsers can process such lexical analysis graphs and discard any sequence of tokens that does not produce a valid syntactic sentence, therefore performing, together with Lamb, a context-sensitive lexical analysis in lexically-ambiguous language specifications.

  8. 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

  9. 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.

  10. Assessing the Factors Deemed to Support Individual Student Intrinsic Motivation in Technology Supported Online and Face-to-Face Discussions

    Science.gov (United States)

    Shroff, Ronnie H.; Vogel, Douglas R.

    2009-01-01

    Research has established that intrinsic motivation has a positive effect on learning and academic achievement. In order to investigate the phenomenon of intrinsic motivation in technology-supported learning environments, this paper investigates the factors deemed to support individual student intrinsic motivation in online discussions. A research…

  11. FPU-Supported Running Error Analysis

    OpenAIRE

    T. Zahradnický; R. Lórencz

    2010-01-01

    A-posteriori forward rounding error analyses tend to give sharper error estimates than a-priori ones, as they use actual data quantities. One of such a-posteriori analysis – running error analysis – uses expressions consisting of two parts; one generates the error and the other propagates input errors to the output. This paper suggests replacing the error generating term with an FPU-extracted rounding error estimate, which produces a sharper error bound.

  12. Assessing management support for worksite health promotion: psychometric analysis of the leading by example (LBE) instrument.

    Science.gov (United States)

    Della, Lindsay J; DeJoy, David M; Goetzel, Ron Z; Ozminkowski, Ronald J; Wilson, Mark G

    2008-01-01

    Describe the development of the leading by example (LBE) instrument. A total of 135 responses from employees of a private corporation working at 11 different worksites were factor analyzed in 2005. Exploratory factor analysis was used to obtain an initial factor structure. Factor validity was evaluated using confirmatory factor analysis methods. A second sample was collected in 2006 from the same population (N = 178) and was used to confirm the factor structure via confirmatory factor analysis. Cronbach's alpha and item-total correlations provided information on the reliability of the factor subscales. Four subscales were identified: business alignment with health promotion objectives, awareness of the health-productivity link, worksite support for health promotion, and leadership support for health promotion. Factor by group comparisons revealed that the initial factor structure was effective in detecting differences in organizational support for health promotion across different employee groups. Management support for health promotion can be assessed using the LBE, a brief self-report questionnaire. Researchers can use the LBE to diagnose, track, and evaluate worksite health promotion programs.

  13. Tool Supported Analysis of Web Services Protocols

    DEFF Research Database (Denmark)

    Marques, Abinoam P.; Ravn, Anders Peter; Srba, Jiri

    2011-01-01

    We describe an abstract protocol model suitable for modelling of web services and other protocols communicating via unreliable, asynchronous communication channels. The model is supported by a tool chain where the first step translates tables with state/transition protocol descriptions, often used...... e.g. in the design of web services protocols, into an intermediate XML format. We further translate this format into a network of communicating state machines directly suitable for verification in the model checking tool UPPAAL. We introduce two types of communication media abstractions in order...

  14. 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

  15. 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

  16. 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

  17. 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.

  18. Dyslexic Students: Success Factors for Support in a Learning Environment

    Science.gov (United States)

    Bjorklund, Maria

    2011-01-01

    This study examines possible success factors when developing technical solutions for dyslexic students. Findings in the literature, in a web survey answered by students and in the experiences from the development process at the Medical Faculty Library, Lund University, were used to find out potential success factors and difficulties. The…

  19. 社区帕金森患者社会支持状况调查及社会因素分析%Investigation of social support status and analysis of social factors for community Parkinson's disease patients

    Institute of Scientific and Technical Information of China (English)

    余映丽

    2015-01-01

    Objective To investigate the social support status and social influencing factors for community Parkinson's disease patients.Methods Clinical data of 150 community Parkinson's disease patients were retrospectively analyzed. Their social support status and social influencing factors were researched by social support rating scale (SSRS), Eysenck personality questionnaire short scale for Chinese (EPQ-RSC), and Hamilton depression scale (HAMD).Results ① Occurrence of depression: among 150 patients, there were 53.33% of them had HAMD≥8 points, and 46.67% of them had HAMD<8 points. ② EPQ-RSC score: the depressive disorder group had much higher psychoticism and nervousness scores than the non-depressive disorder group [(5.6±0.9) VS(1.2±1.3); (14.2±1.9)VS(11.5±4.0)] points, and its introversion and extroversion score and cover degree score were all lower than the non-depressive disorder group [(6.7±2.4)VS(13.7±4.0);(16.9±2.8)VS(14.0±2.2)] points. Their difference had statistical significance (P<0.05). ③ SSRS score: community Parkinson's disease patients had lower social support total score than national norm [(36.4±3.6)VS(44.5±8.3)], and the difference had statistical significance (P<0.05). ④ Correlation: depression state is negatively correlated with social support total score (r=-0.619,P<0.05), and that is negatively correlated with introversion and extroversion score and cover degree score (r=-0.596,P<0.05;r=-0.646,P<0.05). It has positive correlation with psychoticism and nervousness scores (r= 0.597,P<0.05;r=0.675,P<0.05). Conclusion Attention for social support status and social factors for community Parkinson's disease patients and active improvement of their personality characteristics can effectively reduce depression rate and improve their quality of life. It should obtain much clinical attention.%目的:探究社区帕金森患者社会支持状况及社会影响因素。方法回顾性分析150例社区帕金森患者的临床资料,应

  20. Tool Supported Analysis of Web Services Protocols

    DEFF Research Database (Denmark)

    Marques, Abinoam P.; Ravn, Anders Peter; Srba, Jiri

    2011-01-01

    e.g. in the design of web services protocols, into an intermediate XML format. We further translate this format into a network of communicating state machines directly suitable for verification in the model checking tool UPPAAL. We introduce two types of communication media abstractions in order......We describe an abstract protocol model suitable for modelling of web services and other protocols communicating via unreliable, asynchronous communication channels. The model is supported by a tool chain where the first step translates tables with state/transition protocol descriptions, often used...... to ensure the finiteness of the protocol state-spaces while still being able to verify interesting protocol properties. The translations for different kinds of communication media have been implemented and successfully tested, among others, on agreement protocols from WS-Business Activity....

  1. Contract Negotiations Supported Through Risk Analysis

    Science.gov (United States)

    Rodrigues, Sérgio A.; Vaz, Marco A.; Souza, Jano M.

    Many clients often view software as a commodity; then, it is critical that IT sellers know how to create value into their offering to differentiate their service from all the others. Clients sometimes refuse to contract software development due to lack of technical understanding or simply because they are afraid of IT contractual commitments. The IT negotiators who recognize the importance of this issue and the reason why it is a problem will be able to work to reach the commercial terms they want. Therefore, this chapter aims to stimulate IT professionals to improve their negotiation skills and presents a computational tool to support managers to get the best out of software negotiations through the identification of contract risks.

  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. 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

  4. 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…

  5. Experiments in human multi-issue negotiation: analysis and support

    NARCIS (Netherlands)

    Bosse, T.; Jonker, C.M.; Schut, M.C.; Treur, J.

    2008-01-01

    The purpose of this paper is to report on experiments in (human) multi-issue negotiation and their analysis, and to present a generic software environment supporting such an analysis. First, the paper presents a System for Analysis of Multi-Issue Negotiation (SAMIN). SAMIN is designed to analyse neg

  6. Visualization and Analysis in Support of Fusion Science

    Energy Technology Data Exchange (ETDEWEB)

    Sanderson, Allen R. [Scientific Computing and Imaging Institute

    2012-10-01

    This report summarizes the results of the award for “Visualization and Analysis in Support of Fusion Science.” With this award our main efforts have been to develop and deploy visualization and analysis tools in three areas 1) magnetic field line analysis 2) query based visualization and 3) comparative visualization.

  7. Antibody production in early life supported by maternal lymphocyte factors.

    Science.gov (United States)

    Shimamura, Michio; Huang, Yi-Ying; Goji, Hiroshi

    2003-01-20

    To examine the influence of maternal lymphocyte factors on the immune responses in offspring in early life, antibody production in neonates born to either normal or lymphocyte-deficient mothers was analyzed. Recombination activating gene (Rag)-2(+/-) mouse neonates born to Rag-2(+/+), Rag-2(+/-)or Rag-2(-/-)mothers were injected with goat anti-mouse IgD antiserum, and IgE and IgG(1) production was evaluated. The levels of IgE and IgG(1) were higher in the pups born to Rag-2(+/+)and Rag-2(+/-) dams than to lymphocyte-deficient Rag-2(-/-) dams. The enhanced antibody production in the former compared with the latter neonates was also found following immunization with ovalbumin or TNP-Ficoll. Thus, the presence of maternal lymphocyte factors was suggested in neonates that augmented antigen-specific antibody production in both T cell-dependent and -independent pathways. A reduction in antibody production was observed in normal neonates when they were foster-nursed by Rag-2(-/-) mothers. Thus, the maternal lymphocyte factors enhancing the immune responses in newborns were shown to be present in breast-milk.

  8. Propulsion Test Support Analysis with GPU Computing Project

    Data.gov (United States)

    National Aeronautics and Space Administration — The design, development and staging of tests to certify liquid rocket engines usually require high-fidelity structural, fluid and thermal support analysis. These...

  9. Analysis and Assessment of Computer-Supported Collaborative Learning Conversations

    NARCIS (Netherlands)

    Trausan-Matu, Stefan

    2008-01-01

    Trausan-Matu, S. (2008). Analysis and Assessment of Computer-Supported Collaborative Learning Conversations. Workshop presentation at the symposium Learning networks for professional. November, 14, 2008, Heerlen, Nederland: Open Universiteit Nederland.

  10. 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

  11. 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.

  12. Patient factors that influence clinicians' decision making in self-management support: A clinical vignette study.

    Science.gov (United States)

    Bos-Touwen, Irene D; Trappenburg, Jaap C A; van der Wulp, Ineke; Schuurmans, Marieke J; de Wit, Niek J

    2017-01-01

    Self-management support is an integral part of current chronic care guidelines. The success of self-management interventions varies between individual patients, suggesting a need for tailored self-management support. Understanding the role of patient factors in the current decision making of health professionals can support future tailoring of self-management interventions. The aim of this study is to identify the relative importance of patient factors in health professionals' decision making regarding self-management support. A factorial survey was presented to primary care physicians and nurses. The survey consisted of clinical vignettes (case descriptions), in which 11 patient factors were systematically varied. Each care provider received a set of 12 vignettes. For each vignette, they decided whether they would give this patient self-management support and whether they expected this support to be successful. The associations between respondent decisions and patient factors were explored using ordered logit regression. The survey was completed by 60 general practitioners and 80 nurses. Self-management support was unlikely to be provided in a third of the vignettes. The most important patient factor in the decision to provide self-management support as well as in the expectation that self-management support would be successful was motivation, followed by patient-provider relationship and illness perception. Other factors, such as depression or anxiety, education level, self-efficacy and social support, had a small impact on decisions. Disease, disease severity, knowledge of disease, and age were relatively unimportant factors. This is the first study to explore the relative importance of patient factors in decision making and the expectations regarding the provision of self-management support to chronic disease patients. By far, the most important factor considered was patient's motivation; unmotivated patients were less likely to receive self-management support

  13. Simulation of dynamics behaviors for shipping equipment support with system dynamics analysis approach

    Directory of Open Access Journals (Sweden)

    Yang Song

    2015-05-01

    Full Text Available Purpose: The exactly and precisely supply of carrying spare parts has a crucial impact on support and could improve the performance of equipment. Spare parts support is the crux work which will be limited by spare parts allocation and support cost input. Reasonable support strategy can help in making good use of available resources and support the equipment in normal operational status. The purpose of this paper is to propose a dynamics model of spare parts support process based on considering the interaction of multiple factors, and explores the regulation of dynamics behavior in the system. In order to achieve the optimization strategy to improve the effect of support so that will enhance the relevant support parameters of equipment. Design/methodology/approach: Meditate the feedback relationship among some important factors of support that involve support cost, support time and maintenance ability. System dynamics theory is adopted to propose a dynamics model of spare parts support process, on the analysis of multiple factors and casual relationship to find some major ones which have crucial impact on spare parts support. Spare parts support cost and availability was regarded as the control objective, moreover, adjust the control paramours and improve the effect of cannibalization and lateral supply scheduling strategy for spares support. Findings: The factors of spare parts supply, demand and maintenance have relationship of control feedback, and adjust the value of some crucial factors can reduce the support cost and improve the availability value. The main finding is that adopting cannibalization strategy under condition of available materials can relieve the mission and operational availability decline caused by shortage of spare parts. Combining the lateral supply and cannibalization strategy can reduce the inventory of warship carrying spare parts. Practical implications: By controlling the value of key factors regarding aspect of spare

  14. Vibration Suppression Analysis for Supporter with Constrained Layer Damping

    Institute of Scientific and Technical Information of China (English)

    杜华军; 邹振祝; 黄文虎

    2004-01-01

    By analyzing the correlation between modal calculations and modal experiments of a typical supporter, an effective finite element analysis( FEA)model of the actual aerospace supporter is created. According to the analysis of constrained viscoelastic damping, the strategies of PVC have been worked out, and the correlation between modal calculations and modal experiments of the supporter has also been computed, and then, an experiment has been designed based on the calculation results. The results of experiments verify that the PVC strategy can effectively suppress vibration.

  15. 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...

  16. 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)

  17. 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.

  18. Data near processing support for climate data analysis

    Science.gov (United States)

    Kindermann, Stephan; Ehbrecht, Carsten; Hempelmann, Nils

    2016-04-01

    Climate data repositories grow in size exponentially. Scalable data near processing capabilities are required to meet future data analysis requirements and to replace current "data download and process at home" workflows and approaches. On one hand side, these processing capabilities should be accessible via standardized interfaces (e.g. OGC WPS), on the other side a large variety of processing tools, toolboxes and deployment alternatives have to be supported and maintained at the data/processing center. We present a community approach of a modular and flexible system supporting the development, deployment and maintenace of OGC-WPS based web processing services. This approach is organized in an open source github project (called "bird-house") supporting individual processing services ("birds", e.g. climate index calculations, model data ensemble calculations), which rely on basic common infrastructural components (e.g. installation and deployment recipes, analysis code dependencies management). To support easy deployment at data centers as well as home institutes (e.g. for testing and development) the system supports the management of the often very complex package dependency chain of climate data analysis packages as well as docker based packaging and installation. We present a concrete deployment scenario at the German Climate Computing Center (DKRZ). The DKRZ one hand side hosts a multi-petabyte climate archive which is integrated e.g. into the european ENES and worldwide ESGF data infrastructure, and on the other hand hosts an HPC center supporting (model) data production and data analysis. The deployment scenario also includes openstack based data cloud services to support data import and data distribution for bird-house based WPS web processing services. Current challenges for inter-institutionnal deployments of web processing services supporting the european and international climate modeling community as well as the climate impact community are highlighted

  19. SUSTAINABLE INSURANCE AS A KEY FACTOR OF SUSTAINABLE DEVELOPMENT SUPPORT

    Directory of Open Access Journals (Sweden)

    L. Volokhova

    2015-04-01

    Full Text Available The role of the insurance sector in the sustainability development support was determined and the possible measures of economic and social loss reduction, based on risk management, risk transfer, and sustainable investment, were proposed. A crucial necessity of the community resilience improvement and cooperation with other stakeholders was indicated. Sustainable insurance sector plays a determinant role in the process of sustainable development as it possess vital leverages to enable and facilitate community resilience, and, therefore, to reduce the possible loss from Economic, Social and Governance issues (ESG issues. First of all, this could be achieved by the means of proper risk management, namely risk assessment and risk reduction. Second, risk transfer will help communities to cope with actual damage made and cover the loss. Finally, sustainable investment activity may be used to make sure that business sector respects the key principles of sustainable development in its day-to-day activity. Cooperation with all the stakeholders of sustainable development, especially governments and communities, will help to develop a better expertize of risk management and create more effective tools for risk reduction. Implementing principles of sustainable investment into the core of their business values, insurance companies are likely to enjoy the improvement of their image and status, higher quality of their investment portfolio, and smaller refund sums payed on claims.

  20. Risk Analysis of Return Support Material on Gas Compressor Platform Project

    Science.gov (United States)

    Silvianita; Aulia, B. U.; Khakim, M. L. N.; Rosyid, Daniel M.

    2017-07-01

    On a fixed platforms project are not only carried out by a contractor, but two or more contractors. Cooperation in the construction of fixed platforms is often not according to plan, it is caused by several factors. It takes a good synergy between the contractor to avoid miss communication may cause problems on the project. For the example is about support material (sea fastening, skid shoe and shipping support) used in the process of sending a jacket structure to operation place often does not return to the contractor. It needs a systematic method to overcome the problem of support material. This paper analyses the causes and effects of GAS Compressor Platform that support material is not return, using Fault Tree Analysis (FTA) and Event Tree Analysis (ETA). From fault tree analysis, the probability of top event is 0.7783. From event tree analysis diagram, the contractors lose Rp.350.000.000, - to Rp.10.000.000.000, -.

  1. The Support System in Distance Education:Factors Affecting Achievements Among Women Learners

    Directory of Open Access Journals (Sweden)

    Rozhan M IDRUS

    2005-10-01

    Full Text Available The Support System in Distance Education:Factors Affecting Achievements Among Women Learners Hanafi ATAN Zuraidah A. RAHMAN Omar MAJID Noraida A. GHANIRozhan M IDRUS School of Distance EducationUniversiti Sains Malaysia11800 Penang, MALAYSIA ABSTRACT Distance education has the potential to contribute to the enhancement of women’s development by overcoming not only temporal and spatial barriers but familial commitments as well. It brings education to their home and allows women to learn at their individual pace, seek skills for individual development and at the same time, enables them to fulfill family responsibilities. An important element of distance education is the provision of the learner support system that provides students the access to learning resources and means of communication that would facilitate the array of educational activities and exposure to various other guidance and advisories. This paper reports on the study undertaken to elucidate the dimensions of the support system provided by the School of Distance Education (SDE, Universiti Sains Malaysia (USM to its women learners that would have significant impact on their achievements. The factorial analysis conducted revealed that the role of the faculty is the main contributing factor affecting these achievements, followed by the provision of the intensive course, the electronic portal, video conferencing and to a much lesser extent, the existence of the regional centres. The implications of this study are discussed with the view of improving the support system provided by the institution and the need to put into action the necessary strategies to further improve the achievement of the women learners.

  2. Perceived social support following percutaneous coronary intervention is a crucial factor in patients with coronary heart disease.

    Science.gov (United States)

    Kähkönen, Outi; Kankkunen, Päivi; Miettinen, Heikki; Lamidi, Marja-Leena; Saaranen, Terhi

    2017-05-01

    To describe perceived social support among patients with coronary heart disease following percutaneous coronary intervention. A low level of social support is considered a risk factor for coronary heart disease in healthy individuals and reduces the likelihood that people diagnosed with coronary heart disease will have a good prognosis. A descriptive cross-sectional study. A survey of 416 patients was conducted in 2013. A self-report instrument, Social Support of People with Coronary Heart Disease, was used. The instrument comprises three dimensions of social support: informational, emotional, functional supports and 16 background variables. Data were analysed using descriptive statistics, factor analysis, mean sum variables and multivariate logistic regression. Perceived informational support was primarily high, but respondents' risk factors were not at the target level. The weakest items of informational support were advice on physical activity, continuum of care and rehabilitation. Regarding the items of emotional support, support from other cardiac patients was the weakest. The weakest item of functional support was respondents' sense of the healthcare professionals' care of patients coping with their disease. Background variables associated with perceived social support were gender, marital status, level of formal education, profession, physical activity, duration of coronary heart disease and previous myocardial infarction. Healthcare professionals should pay extra attention to women, single patients, physically inactive patients, those demonstrating a lower level of education, those with a longer duration of CHD, and respondents without previous acute myocardial infarction. Continuum of care and counselling are important to ensure especially among them. This study provides evidence that healthcare professionals should be more aware of the individual needs for social support among patients with coronary heart disease after percutaneous coronary intervention

  3. Digital communication to support clinical supervision: considering the human factors.

    Science.gov (United States)

    Mather, Carey; Marlow, Annette; Cummings, Elizabeth

    2013-01-01

    During the last three years the School of Nursing and Midwifery at the University of Tasmania has used a needs assessment survey to explore the needs of organizations and nursing professionals that facilitate and clinically supervise Bachelor of Nursing students in the workplace. Findings from the survey indicated that staff at healthcare organizations wanted a communication strategy that was easily accessible by clinicians who supervised students during work integrated learning placements. In particular they wanted to receive timely information related to the role and function of supervisors in practice. The development of the digital strategy to strengthen the development of a community of practice between the University, organizations, facilities and clinical supervisors was identified as the key method of improving communication. Blogging and micro blogging were selected as methods of choice for the implementation of the digital strategy because they were easy to set up, use and enable equity of access to geographically dispersed practitioners in urban and rural areas. Change champions were identified to disseminate information about the strategy within their workplaces. Although clinicians indicated electronic communication as their preferred method, there were a number of human factors at a systems and individual level identified to be challenges when communicating with clinical supervisors who were based off-campus. Information communication technology policies and embedded culture towards social presence were impediments to using this approach in some organizations. Additionally, it was found that it is necessary for this group of clinicians to be educated about using digital methods to undertake their role as clinical supervisors in their varied clinical practice environments.

  4. Value-added and Supporting - Inhibiting Factors for the Wet Processing of Coffee

    Directory of Open Access Journals (Sweden)

    Yuli Hariyati

    2014-01-01

    Full Text Available Coffee is one of the annual crops which are widely favored by coffee enjoyers. SidomulyoVillage is one of the fourth largest coffee producing villages in District of Silo with a land area of 180 ha in 2009. Coffee experiences a process of harvest and post harvest; one of the activities of post-harvest is coffee processing. Coffee processing is divided into two; wet processing and dry processing. The majority of farmers in SidomulyoVillage do dry processing; about 75% of farmers do dry processing and 25% of farmers do wet processing. This research was intended to: (1 to find out the value added coffee processed,(2 to identify supporting and inhibiting factors the farmers to do wet processing, and (3 to identify the income differences of farmers undertakingthe wet and dry processing. This research was carried out on purpose (purposive method in the Sidomulyo Village, District of Silo, by taking samples; that is the total sampling of farmer group of Sidomulyo 1. Data analysis used including value added, Force Field and financial analysis. The research results showed that: (1 value added of coffee beans processing turn to HS coffee was IDR 975,- whereas coffee beans processing turn to ose coffee was IDR 529,-. (2 The strongest supporting factor of wet processing was the ability to absorb workers, while the strongest inhibiting factor of wet processing was less adequate water facilities; (3 The coffee farmer incomescarrying out wet processing and dry processing were different. PerHa coffee income of wet processing was IDR 11,228,805,- and that of dry processing per ha was IDR 7,901,249,-

  5. The center for epidemiologic studies depression scale: support for a bifactor model with a dominant general factor and a specific factor for positive affect.

    Science.gov (United States)

    Gomez, Rapson; McLaren, Suzanne

    2015-06-01

    For the Center for Epidemiologic Studies Depression Scale (CES-D) ratings, the study examined support for a bifactor model, and also the internal consistency reliability and external validity of the factors in this model. Participants (N = 1,178) were older adults from the general community who completed the CES-D. Confirmatory factor analysis of their ratings indicated support for the bifactor model. For this model, the general factor explained most of the covariance in the scores of the CES-D items for Depressed Affect, Somatic Symptoms and Retarded Activity, and Interpersonal Difficulties items. Most of the covariance in the scores of the Positive Affect (PA) scale was explained by its own specific factor. Additional analyses showed support for internal consistencies and external validities of general factors based on all the CES-D items, and when PA items were excluded, and also the PA-specific factor. The findings support the use of a total CES-D score without the PA items and also the concurrent use of the PA scale score. © The Author(s) 2014.

  6. Reliability Analysis for Tunnel Supports System by Using Finite Element Method

    Directory of Open Access Journals (Sweden)

    E. Bukaçi

    2016-09-01

    Full Text Available Reliability analysis is a method that can be used in almost any geotechnical engineering problem. Using this method requires the knowledge of parameter uncertainties, which can be expressed by their standard deviation value. By performing reliability analysis to tunnel supports design, can be obtained a range of safety factors and by using them, probability of failure can be calculated. Problem becomes more complex when this analysis is performed for numerical methods, such as Finite Element Method. This paper gives a solution to how reliability analysis can be performed to design tunnel supports, by using Point Estimate Method to calculate reliability index. As a case study, is chosen one of the energy tunnels at Fan Hydropower plant, in Rrëshen Albania. As results, values of factor of safety and probability of failure are calculated. Also some suggestions using reliability analysis with numerical methods are given.

  7. Intrapersonal, interpersonal, and contextual risk factors for overprovision of partner support in marriage.

    Science.gov (United States)

    Brock, Rebecca L; Lawrence, Erika

    2014-02-01

    Recent research indicates that receiving too much support from one's spouse (i.e., overprovision of support) is actually more detrimental to marriage than not receiving enough support. The principal goal of the present study was to develop a novel framework for explaining the pathways through which couples experience overprovision of support in their marriages. Intrapersonal factors (anxious and avoidant attachment), interpersonal factors (conflict management and emotional intimacy), and contextual factors (stress originating outside of the marriage) were assessed during the transition into marriage as potential risk factors for experiencing higher levels of support overprovision during the first 5 years of marriage in a sample of 103 couples using growth curve analytic techniques. To the extent that (a) husbands were higher in avoidant attachment, (b) husbands reported greater chronic role strain, and (c) couples had lower levels of emotional intimacy, support overprovision was greater for both husbands and wives. In addition, emotional intimacy (lower levels) was a partial pathway through which husband avoidant attachment contributed to support overprovision. Finally, factors placing couples at risk for support overprovision in their marriages appear to be distinct from those increasing the risk for support underprovision. The potential for results to inform contemporary marital theories and marital preparation programs is discussed.

  8. Structured Analysis of the Logistics Support Analysis (LSA) Task, and Integrated Logistic Support (ILS) Element, ’Standardization and Interoperability (S and I)’.

    Science.gov (United States)

    1988-11-01

    EQUXP JSOR - Ooint Services Operational Requirements 0&0 - Operational and Organizational MP - Mission Support Plan R5! - Rationalization...Support ILSMT Integrated Logistics Support Management Team JSOR Joint Services Operational Requirements LSA Logistic Support Analysis LSAR Logistic

  9. 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...

  10. Measuring the level of social support using latent class analysis.

    Science.gov (United States)

    Santos, Letícia Marques; Amorim, Leila Denise A F; Santos, Darci Neves; Barreto, Maurício L

    2015-03-01

    Different instruments have been used to measure social support in epidemiological studies of which the most widely used is the Medical Outcomes Study Social Support Scale (SSS-MOS). However, these studies lack measures of the level of social support on health risks. We used latent class analysis (LCA) to distinguish subgroups with different levels of perceived social support and tested the consistency of these subgroups by their associations with the prevalence of Common Mental Disorders (CMD). This is a cross-sectional study of 1013 mothers living in the city of Salvador, Brazil in which psychosocial data were collected through home visits using the SSS-MOS and the Self Reporting Questionnaire-20. For each dimension of social support analysed here, we selected models with two classes using LCA. Multivariate logistic regression models were used to estimate the association between participants' perceived social support and the prevalence of CMD to verify the consistency of the groups defined by LCA. There was a clear difference in the reporting of perceived social support between those classified as high or low using LCA. The probability of perceiving several types of social support was lower in the subgroup classified as low level of social support (13.7-59.8%), and it was much higher in the group classified as high level of social support (84.3-98%). A greater prevalence of CMD was found among mothers with lower levels of social support. LCA seems to be a useful tool to improve measurement of perceived social support by separation into two levels in which the lower level is associated with an increased prevalence of CMD. Copyright © 2014 Elsevier Inc. All rights reserved.

  11. Design of Intelligent Network Performance Analysis Forecast Support System

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    A system designed for supporting the network performance analysis and forecast effort is pre sented, based on the combination of offline network analysis and online real-time performance forecast. The off-line analysis will perform analysis of specific network node performance, correlation analysis of relative network nodes performance and evolutionary mathematical modeling of long-term network performance mea surements. The online real-time network performance forecast will be based on one so-called hybrid predic tion modeling approach for short-term network performance prediction and trend analysis. Based on the module design, the system proposed has good intelligence, scalability and self-adaptability, which will offer highly effective network performance analysis and forecast tools for network managers, and is one ideal sup port platform for network performance analysis and forecast effort.

  12. Relationship of Marital Satisfaction, Family Support and Family-Work Conflict Factors Among Malaysian Fathers with Adolescents

    Directory of Open Access Journals (Sweden)

    Mahayudin, A.A.

    2015-02-01

    Full Text Available The study on contextual factors in Malaysian family is more concentrated among mothers compared to the fathers. Malaysian fathers are often influenced by these factors embedded in the family. This study examines the level of contextual factors among fathers of adolescent children. The survey was conducted using a simple sampling method, on a group of 413 fathers with adolescent children from all districts in the state of Selangor, West Peninsular of Malaysia. A set of questionnaires was used to derive data from the fathers̕ contextual factors which are marriage satisfaction, family support and work-family conflict among fathers of adolescents. Analysis on frequency, percentage, mean, standard deviation, t-test, analysis of Variance (ANOVA and the Pearson correlations were used to investigate the level and correlation of contextual factors among fathers of adolescent children. The Pearson correlation shows that there is a significant correlation between work-family conflict and marriage satisfaction and between family support and marriage satisfaction. However, there is no significant correlation between family support and work-family conflict. The study proficiently contributes towards the exploration of influencing factors for the involvement of fathers in parenting.

  13. 居家癌症患者主要照顾者的社会支持现状及相关因素分析%Analysis of social support status and related factors of primary caregivers of cancer patients at home

    Institute of Scientific and Technical Information of China (English)

    王文慧; 姜喆; 杨芷; 刘艳

    2016-01-01

    目的:分析居家癌症患者主要照顾者的社会支持现状及相关因素。方法:采用自行设计的一般资料问卷和社会支持评定量表,分别对130名居家癌症患者主要照顾者进行问卷调查。结果:居家癌症患者主要照顾者的社会支持得分为(41.84±7.55)分,高于全国一般水平( P﹤0.01)。单因素方差分析显示:有配偶照顾者的客观支持、主观支持和社会支持总分均高于无配偶者( P﹤0.05);在职照顾者的主观支持和社会支持总分均高于无业或退休者( P﹤0.05);大学及以上学历照顾者的客观支持和社会支持总分均高于初中及以下学历的照顾者( P﹤0.05);月收入﹥1000元的照顾者的社会支持总分和主观支持得分均高于月收入﹤1000元者(P﹤0.05)。结论:居家癌症患者主要照顾者的总体社会支持状况较好,但不同人群的社会支持水平存在差异,临床工作者应积极开展各种支持性服务,以保障弱势群体的社会支持水平。%Objective:To analyze the current situation of social support and related factors of primary caregivers of cancer patients at home. Methods:A self-designed questionnaire was used to conduct a survey on 130 primary caregivers of cancer patients at home. Re-sults:The social support scores of the primary caregivers of cancer patients at home were 41. 84 ± 7. 55 points and they were higher than the national average level(P﹤0. 01);the single factor analysis of variance showed that the total scores of objective support,subjective support and social support of the patients with spouse as caregivers were higher than those patients whose caregivers who were not spouse ( P﹤0. 05);the total score of subjective support and social support of on-the-job caregivers were higher than those who had no job or retired(P﹤0. 05);the total scores of objective support and social support of caregivers with bachelor degree or

  14. 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

  15. Development of output user interface software to support analysis

    Energy Technology Data Exchange (ETDEWEB)

    Wahanani, Nursinta Adi, E-mail: sintaadi@batan.go.id; Natsir, Khairina, E-mail: sintaadi@batan.go.id; Hartini, Entin, E-mail: sintaadi@batan.go.id [Center for Development of Nuclear Informatics - National Nuclear Energy Agency, PUSPIPTEK, Serpong, Tangerang, Banten (Indonesia)

    2014-09-30

    Data processing software packages such as VSOP and MCNPX are softwares that has been scientifically proven and complete. The result of VSOP and MCNPX are huge and complex text files. In the analyze process, user need additional processing like Microsoft Excel to show informative result. This research develop an user interface software for output of VSOP and MCNPX. VSOP program output is used to support neutronic analysis and MCNPX program output is used to support burn-up analysis. Software development using iterative development methods which allow for revision and addition of features according to user needs. Processing time with this software 500 times faster than with conventional methods using Microsoft Excel. PYTHON is used as a programming language, because Python is available for all major operating systems: Windows, Linux/Unix, OS/2, Mac, Amiga, among others. Values that support neutronic analysis are k-eff, burn-up and mass Pu{sup 239} and Pu{sup 241}. Burn-up analysis used the mass inventory values of actinide (Thorium, Plutonium, Neptunium and Uranium). Values are visualized in graphical shape to support analysis.

  16. Development of output user interface software to support analysis

    Science.gov (United States)

    Wahanani, Nursinta Adi; Natsir, Khairina; Hartini, Entin

    2014-09-01

    Data processing software packages such as VSOP and MCNPX are softwares that has been scientifically proven and complete. The result of VSOP and MCNPX are huge and complex text files. In the analyze process, user need additional processing like Microsoft Excel to show informative result. This research develop an user interface software for output of VSOP and MCNPX. VSOP program output is used to support neutronic analysis and MCNPX program output is used to support burn-up analysis. Software development using iterative development methods which allow for revision and addition of features according to user needs. Processing time with this software 500 times faster than with conventional methods using Microsoft Excel. PYTHON is used as a programming language, because Python is available for all major operating systems: Windows, Linux/Unix, OS/2, Mac, Amiga, among others. Values that support neutronic analysis are k-eff, burn-up and mass Pu239 and Pu241. Burn-up analysis used the mass inventory values of actinide (Thorium, Plutonium, Neptunium and Uranium). Values are visualized in graphical shape to support analysis.

  17. A Study on the Effects of Policy Support of Cultural Industry Development in Anhui Province:a Factor Analysis Perspective%安徽文化产业发展的政策支持效应研究--基于因子分析的视角

    Institute of Scientific and Technical Information of China (English)

    程霞珍; 蒋长流

    2014-01-01

    Anhui Province has issued more than 40 policies to support cultural industry development in recent years. Based on a factor analysis method, this paper analyzes the effects of policy support of the cultural industry development in Anhui Province, the results shows that the policy support effect of public cultural inputs and innovation of culture management system are insignificant, except that there is obvious effect in the policy support of cultural market improvement.%针对近年来安徽省出台的40多项支持文化产业发展的政策措施,采用因子分析法对安徽文化产业发展的政策支持效应进行剖析,结果表明:除在文化市场完善方面政策支持效应较为明显外,在公共文化投入和文化管理制度创新方面政策支持效应均不显著。

  18. Seismic Analysis of Reinforced Concrete Shaft Support Water Storage Tank

    Directory of Open Access Journals (Sweden)

    Bharti Tekwani

    2016-05-01

    Full Text Available This paper compares the results of Seismic Analysis of Reinforced Concrete Shaft Support Water Storage Tank carried out in accordance with IS: 1893- 1984 and IS: 1893-2002 (Part-2 draft code. The analysis is carried out for shaft supported water tank of 500,750 and 1000 Cu.m capacity, located in four seismic zones (Zone-II, Zone -III, Zone-IV, Zone-V and on three different soil types (Hard rock, Medium soil, Soft soil. Further, 1000 kl tank for conditions - tank full, tank empty are also considered in this study. The analysis was performed using MAT LAB. The parameters of comparison include base shears, base moments and time history analysis. The above models are analyzed for different time history data such as El Centro, Kobe, Ji-Ji, Erzincan. The comparison is made between the structural responses of one mass and two mass models of above capacity.

  19. 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…

  20. 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…

  1. 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

  2. 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.

  3. Space system operations and support cost analysis using Markov chains

    Science.gov (United States)

    Unal, Resit; Dean, Edwin B.; Moore, Arlene A.; Fairbairn, Robert E.

    1990-01-01

    This paper evaluates the use of Markov chain process in probabilistic life cycle cost analysis and suggests further uses of the process as a design aid tool. A methodology is developed for estimating operations and support cost and expected life for reusable space transportation systems. Application of the methodology is demonstrated for the case of a hypothetical space transportation vehicle. A sensitivity analysis is carried out to explore the effects of uncertainty in key model inputs.

  4. Analysis of federal options to support photovoltaic industry growth

    Energy Technology Data Exchange (ETDEWEB)

    Bennington, G.; Cherdak, A.; Williams, F.

    1979-05-01

    This report presents the methodology and results of an analysis to determine the impact and leverage of federal options for supporting the growth of the photovoltaic industry. Results were projected for combinations of the following: an aggressive federal research and development program, achievement of a technological breakthrough, and immediate or breakthrough-dependent incentives including direct price reductions, keyed-to-breakeven subsidies, and federal puchases. The modeling methodology and market assumptions were also tested to determine their effect on analysis results.

  5. 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.

  6. Strategic Analysis of Family Support in EHDI Systems

    Science.gov (United States)

    Bradham, Tamala S.; Houston, K. Todd; Guignard, Gayla Hutsell; Hoffman, Jeff

    2011-01-01

    State coordinators of early hearing detection and intervention (EHDI) programs completed a strengths, weaknesses, opportunities, and threats, or SWOT, analysis that examined 12 areas within state EHDI programs. For the family support area, 47 EHDI coordinators listed 255 items, and themes were identified within each category. A threats,…

  7. Strategic Analysis of Family Support in EHDI Systems

    Science.gov (United States)

    Bradham, Tamala S.; Houston, K. Todd; Guignard, Gayla Hutsell; Hoffman, Jeff

    2011-01-01

    State coordinators of early hearing detection and intervention (EHDI) programs completed a strengths, weaknesses, opportunities, and threats, or SWOT, analysis that examined 12 areas within state EHDI programs. For the family support area, 47 EHDI coordinators listed 255 items, and themes were identified within each category. A threats,…

  8. The Battle Command Sustainment Support System: Initial Analysis Report

    Science.gov (United States)

    2016-09-01

    data.  Replica of Joint- Automatic Identification technology (J-AIT) database is stored on the NEDP Oracle database.  Materialized view of the...computing environment (CPCE) Command post client Battle command sustainment support System (BCS3) Logistics ...Overview 1 Effort Summary 1 Potential Roadblocks 2 National Enterprise Data Portal Analysis 2 Feed Dependencies 3 Data Feeds 3 Logistics

  9. Aspects regarding analysis of the work deck from a support vessel

    Science.gov (United States)

    Axinte, T.; Nutu, C.; Stanca, C.; Cupsa, O.; Carp, A.

    2016-08-01

    The authors are presenting an analysis of the work deck only for the support vessel, a ship having in its structure among others: deck cranes and helicopter deck. The work deck is one of the most important parts of the support vessel's hull. We are starting the paper by presenting the role and the importance of the support vessel's type, by using an original execution drawing carried out using the Unigraphics NX 8.0 Software from Siemens.. Further on we can determine the shear, normal and the von Mises stresses pertaining to the work deck by using the finite element method. After determination of these stresses we can assess fatigue life, strength safety factor and fatigue safety factor. In order to determine the fatigue, the loading pattern only with the full unit cycle will be used. As for determining the safety factor only the ultimate strength stress criterion with the stress type von Mises from failure theories, will be used.

  10. Analysis of government policies to support sustainable domestic defense industries

    OpenAIRE

    2015-01-01

    Approved for public release; distribution is unlimited Armed forces all over the world need military equipment to support their security missions. Having a domestic defense industry is one approach that countries use to supply their armed forces’ requirements. The successful development of a domestic defense industry depends on many factors, but perhaps the most significant variable is the government. Because governments are both buyers and suppliers of national security, government polici...

  11. Factors Considered by Elementary Teachers When Developing and Modifying Mathematical Tasks to Support Children's Mathematical Thinking

    Science.gov (United States)

    Fredenberg, Michael Duane

    The idea that problems and tasks play a pivotal role in a mathematics lesson has a long standing in mathematics education research. Recent calls for teaching reform appeal for training teachers to better understand how students learn mathematics and to employ students' mathematical thinking as the basis for pedagogy (CCSSM, 2010; NCTM, 2000; NRC 1999). The teaching practices of (a) developing a task for a mathematics lesson and, (b) modifying the task for students while enacting the lesson fit within the scope of supporting students' mathematical thinking. Surprisingly, an extensive search of the literature did not yield any research aimed to identify and refine the constituent parts of the aforementioned teaching practices in the manner called for by Grossman and xiii colleagues (2009). Consequently, my research addresses the two questions: (a) what factors do exemplary elementary teachers consider when developing a task for a mathematics lesson? (b) what factors do they consider when they modify a task for a student when enacting a lesson? I conducted a multiple case study involving three elementary teachers, each with extensive training in the area of Cognitively Guided Instruction (CGI), as well as several years experience teaching mathematics following the principles of CGI (Carpenter et al., 1999). I recorded video of three mathematics lessons with each participant and after each lesson I conducted a semi-structured stimulated recall interview. A subsequent follow-up clinical interview was conducted soon thereafter to further explore the teacher's thoughts (Ginsberg, 1997). In addition, my methodology included interjecting myself at select times during a lesson to ask the teacher to explain her reasoning. Qualitative analysis led to a framework that identified four categories of influencing factors and seven categories of supporting objectives for the development of a task. Subsets of these factors and objectives emerged as particularly relevant when the

  12. Fracture analysis of randomized implant-supported fixed dental prostheses.

    Science.gov (United States)

    Esquivel-Upshaw, Josephine F; Mehler, Alex; Clark, Arthur E; Neal, Dan; Anusavice, Kenneth J

    2014-10-01

    Fractures of posterior fixed dental all-ceramic prostheses can be caused by one or more factors including prosthesis design, flaw distribution, direction and magnitude of occlusal loading, nature of supporting infrastructure (tooth root/implant), and presence of adjacent teeth. This clinical study of implant-supported, all-ceramic fixed dental prostheses, determined the effects of (1) presence of a tooth distal to the most distal retainer; (2) prosthesis loading either along the non-load bearing or load bearing areas; (3) presence of excursive contacts or maximum intercuspation contacts in the prosthesis; and (4) magnitude of bite force on the occurrence of veneer ceramic fracture. 89 implant-supported FDPs were randomized as either a three-unit posterior metal-ceramic (Au-Pd-Ag alloy and InLine POM, Ivoclar, Vivadent) FDP or a ceramic-ceramic (ZirCAD and ZirPress, Ivoclar, Vivadent) FDP. Two implants (Osseospeed, Dentsply) and custom abutments (Atlantis, Dentsply) supported these FDPs, which were cemented with resin cement (RelyX Universal Cement). Baseline photographs were made with markings of teeth from maximum intercuspation (MI) and excursive function. Patients were recalled at 6 months and 1-3 years. Fractures were observed, their locations recorded, and images compared with baseline photographs of occlusal contacts. No significant relationship existed between the occurrence of fracture and: (1) the magnitude of bite force; (2) a tooth distal to the most distal retainer; and (3) contacts in load-bearing or non-load-bearing areas. However, there was a significantly higher likelihood of fracture in areas with MI contacts only. Because of the absence of a periodontal ligament, this clinical study demonstrates that there is a need to evaluate occlusion differently with implant-supported prostheses than with natural tooth supported prostheses. Implant supported prostheses should have minimal occlusion and lighter contacts than those supported by natural dentition

  13. Predicting suicide ideation through intrapersonal and interpersonal factors: The interplay of Big-Five personality traits and social support.

    Science.gov (United States)

    Ayub, Nailah

    2015-11-01

    While a specific personality trait may escalate suicide ideation, contextual factors such as social support, when provided effectively, may alleviate the effects of such personality traits. This study examined the moderating role of social support in the relationship between the Big-Five personality traits and suicide ideation. Significant interactions were found between social support and extraversion and emotional stability. Specifically, the relationship between emotional stability and extraversion to suicide ideation was exacerbated when social support was low. Slope analysis showed openness also interacted with low social support. Results were computed for frequency, duration and attitude dimensions of suicide ideation. Extraversion interacted with social support to predict all three dimensions. Social support moderated emotional stability to predict frequency and duration, moderated conscientiousness towards frequency and attitude, and moderated openness towards attitude. The results imply that whereas personality traits may be difficult to alter, social support may play a significant role in saving a life. Psychologists should include family and friends when treating a suicidal youth, guiding them to awareness of one's personality and being more supportive.

  14. Web system to support analysis of the Tile Calorimeter commissioning

    Science.gov (United States)

    Maidantchik, C.; Faria, A.; Grael, F. F.; Ferreira, F. G.; Galvão, K. K.; Dotti, A.; Solans, C.; Price, L.

    2008-07-01

    This article describes the set of computer systems that support the data analysis and quality control during the Tile Calorimeter commissioning phase. The Tile Commissioning Web System (TCWS) encapsulates the steps to retrieve information, execute programs, access the outcomes, register statements and verify the equipment status. TCWS integrates different applications, each one presenting a particular view of the commissioning process. The TileComm Analysis stores plots and analysis results, provides equipment-oriented visualization, collects information regarding the equipment performance, and outlines its status in each test. The Timeline application provides the equipment status history in a chronological way. The Web Interface for Shifters supports monitoring tasks by managing test parameters, graphical views of the detector's performance, and information status of all equipment that was used in each test. The DCS Web System provides a standard way to verify the behaviour of power sources and the cooling system.

  15. 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.

  16. Classification using least squares support vector machine for reliability analysis

    Institute of Scientific and Technical Information of China (English)

    Zhi-wei GUO; Guang-chen BAI

    2009-01-01

    In order to improve the efficiency of the support vector machine (SVM) for classification to deal with a large amount of samples,the least squares support vector machine (LSSVM) for classification methods is introduced into the reliability analysis.To reduce the computational cost,the solution of the SVM is transformed from a quadratic programming to a group of linear equations.The numerical results indicate that the reliability method based on the LSSVM for classification has higher accuracy and requires less computational cost than the SVM method.

  17. People, organizational, and leadership factors impacting informatics support for clinical and translational research

    Directory of Open Access Journals (Sweden)

    Payne Philip RO

    2013-02-01

    Full Text Available Abstract Background In recent years, there have been numerous initiatives undertaken to describe critical information needs related to the collection, management, analysis, and dissemination of data in support of biomedical research (J Investig Med 54:327-333, 2006; (J Am Med Inform Assoc 16:316–327, 2009; (Physiol Genomics 39:131-140, 2009; (J Am Med Inform Assoc 18:354–357, 2011. A common theme spanning such reports has been the importance of understanding and optimizing people, organizational, and leadership factors in order to achieve the promise of efficient and timely research (J Am Med Inform Assoc 15:283–289, 2008. With the emergence of clinical and translational science (CTS as a national priority in the United States, and the corresponding growth in the scale and scope of CTS research programs, the acuity of such information needs continues to increase (JAMA 289:1278–1287, 2003; (N Engl J Med 353:1621–1623, 2005; (Sci Transl Med 3:90, 2011. At the same time, systematic evaluations of optimal people, organizational, and leadership factors that influence the provision of data, information, and knowledge management technologies and methods are notably lacking. Methods In response to the preceding gap in knowledge, we have conducted both: 1 a structured survey of domain experts at Academic Health Centers (AHCs; and 2 a subsequent thematic analysis of public-domain documentation provided by those same organizations. The results of these approaches were then used to identify critical factors that may influence access to informatics expertise and resources relevant to the CTS domain. Results A total of 31 domain experts, spanning the Biomedical Informatics (BMI, Computer Science (CS, Information Science (IS, and Information Technology (IT disciplines participated in a structured surveyprocess. At a high level, respondents identified notable differences in theaccess to BMI, CS, and IT expertise and services depending on the

  18. 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.

  19. 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...

  20. Supportive and motivating environments in school: Main factors to make well-being and learning a reality

    Directory of Open Access Journals (Sweden)

    Anne G. Danielsen

    2011-03-01

    Full Text Available The author examined the relationships between (i school-related social support from parents, teachers, and classmates, respectively, and students’ perceived life satisfaction; and (ii school-related social support from teachers and classmates and self-reported academic initiative. The analyses were based on data from nationally representative samples of 13- and 15-year-old students from the Norwegian part of the sixth and seventh World Health Organization (WHO international survey of Health Behavior in School-aged Children (HBSC. The Structural Equation Modeling (SEM analyzing approach was employed. The findings indicate that school-related social support is positively related to students’ perceived life satisfaction and self-reported academic initiative. In two-level SEM analysis, a latent factor comprising pedagogical caring and autonomy support was substantially related to self-reported academic initiative at the class level.

  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. Critical Success in E-learning: An Examination of Technological and Institutional Support Factors

    Directory of Open Access Journals (Sweden)

    Maslin Masrom

    2008-12-01

    Full Text Available In recent years, information technology (IT becomes prominent to support teaching and learning activities. IT tools allow us to create, collect, store and use the information and knowledge. E-learning was one of IT tools introduced at College of Science and Technology (CST, University Technology Malaysia (UTM Kuala Lumpur since 2001. It has enabled a paradigm shift from institutio n-centered instruction to anywhere, anytime and anybody learning models. In CST the e-learning technology was used for accessing the syllabus and course content, submitting assignments, and taking class quizzes. This paper focuses on issues relating to the e-learning critical success factors (CSFs from university students’ perspective. In this study, two main factors related to the e-learning CSFs within a university environment included technological and institutional support factors were examined. Confirmatory factor modeling approach was used to assess the criticality of the measures included in each factor. The results indicated that the most critical measures for technological factor in terms of ease of access and infrastructure are the browser efficiency, course website ease of use and computer network reliability. Meanwhile, for institutional support factor, the most critical measure is the availability of technical support or help desk.

  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. Religiousness and perceived social support as predictive factors for mental health outcomes

    Directory of Open Access Journals (Sweden)

    Krok, Dariusz

    2014-12-01

    Full Text Available The aim of this study: The study is to investigate predictive values of the religious meaning system, the centrality of religiosity and social support for mental health outcomes. Although there is some evidence about associations of religiousness and social support with mental health, insufficient data exists to explain which dimensions of religiousness and social support are related to mental health outcomes. Material and methods: Participants were 206 people (108 women and 98 men randomly recruited in southern parts of Poland. Their ages ranged from 18 to 78 years, with a mean age of 38.6 years (SD =16.44. All participants filled in the four questionnaires: The Religious Meaning System Questionnaire, The Centrality of Religiosity Scale, The Berlin Social Support Scales, and The General Health Questionnaire-28. Results: Both religiousness and social support are associated with mental health outcomes, but the character of these associations depends on particular dimensions. The religious meaning system and the centrality of religiosity showed negative links with the dimension of mental health called somatic symptoms. Actually received support was associated with better mental health, whereas need for support and protective buffering support were predictors of negative mental health outcomes. Discussion and conclusions: The findings support the hypotheses that religiousness and social support are predictive factors for mental health outcomes, though their effects are rather moderate or weak. Both religion and social support can influence mental health by imbuing life with a sense of meaning and significance, and offering fellowship in times of stress and suffering.

  5. 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...

  6. 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.

  7. Design and Analysis of Muon Beam Stop Support Structures

    Energy Technology Data Exchange (ETDEWEB)

    Okafor, Udenna [Northern Illinois Univ., DeKalb, IL (United States)

    2015-01-01

    The primary objective of this thesis is to design and analyze support structures to be used in the installation, test and final positioning of the MBS throughout the life of the Mu2e experiment. There several requirements for the MBS imposed by both the scope of the experiment and, other components within the DS bore. The functions of the MBS are: 1. To limit the induced rates in the Tracker, the Calorimeter and the Cosmic Ray Veto due to backsplash-and-secondary interactions, and 2. To reduce radiation levels external to the Detector solenoid. The structures used in supporting the MBS will also adhere to requirements imposed by its functions. These requirements are critical to the support structures and affect design decisions. Other requirements critical to the design are imposed by the weight, positional tolerance and assembly procedure of the MBS, and also, the magnetic field and vacuum dose rate of the DS bore. A detailed breakdown of how each requirement affects the structural design can be found in chapter 2. Chapter 3 describes the design of each support structure and its attachment to the MBS while chapter 4 describes the results from structural analysis of the support structures. Chapter 5 describes evaluation for the design through testing and calculations while the conclusion in chapter 6 reports the current status at the time of this thesis submission with a plan for future work to be completed until final design and installation.

  8. Analysis of Advanced Respiratory Support Onboard ISS and CCV

    Science.gov (United States)

    Shah, Ronak V.; Kertsman, Eric L.; Alexander, David J.; Duchesne, Ted; Law, Jennifer; Roden, Sean K.

    2014-01-01

    NASA is collaborating with private entities for the development of commercial space vehicles. The Space and Clinical Operations Division was tasked to review the oxygen and respiratory support system and recommend what capabilities, if any, the vehicle should have to support the return of an ill or injured crewmember. The Integrated Medical Model (IMM) was utilized as a data source for the development of these recommendations. The Integrated Medical Model (IMM) was used to simulate a six month, six crew, International Space Station (ISS) mission. Three medical system scenarios were considered based on the availability of (1) oxygen only, (2) oxygen and a ventilator, or (3) neither oxygen nor ventilator. The IMM analysis provided probability estimates of medical events that would require either oxygen or ventilator support. It also provided estimates of crew health, the probability of evacuation, and the probability of loss of crew life secondary to medical events for each of the three medical system scenarios. These IMM outputs were used as objective data to enable evidence-based decisions regarding oxygen and respiratory support system requirements for commercial crew vehicles. The IMM provides data that may be utilized to support informed decisions regarding the development of medical systems for commercial crew vehicles.

  9. Analysis of Logistics in Support of a Human Lunar Outpost

    Science.gov (United States)

    Cirillo, William; Earle, Kevin; Goodliff, Kandyce; Reeves, j. D.; Andrashko, Mark; Merrill, R. Gabe; Stromgren, Chel

    2008-01-01

    Strategic level analysis of the integrated behavior of lunar transportation system and lunar surface system architecture options is performed to inform NASA Constellation Program senior management on the benefit, viability, affordability, and robustness of system design choices. This paper presents an overview of the approach used to perform the campaign (strategic) analysis, with an emphasis on the logistics modeling and the impacts of logistics resupply on campaign behavior. An overview of deterministic and probabilistic analysis approaches is provided, with a discussion of the importance of each approach to understanding the integrated system behavior. The logistics required to support lunar surface habitation are analyzed from both 'macro-logistics' and 'micro-logistics' perspectives, where macro-logistics focuses on the delivery of goods to a destination and micro-logistics focuses on local handling of re-supply goods at a destination. An example campaign is provided to tie the theories of campaign analysis to results generation capabilities.

  10. 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...

  11. SOUTH RAMP 3.01.X AREA GROUND SUPPORT ANALYSIS

    Energy Technology Data Exchange (ETDEWEB)

    S. Bonabian

    1999-07-12

    The purpose of this analysis is to evaluate the stability and determine ground support requirements for the 3.01.X areas in the Exploratory Studies Facility (ESF) South Ramp. The 3.01.X area refers to the ESF tunnel portions that were constructed under Section 3.01.X of the ESF General Construction Specification (Reference 8.4). Four 3.01.X areas in the ESF Main Loop are covered in this analysis that extend from Station 60+15.28 to 60+49.22, 62+04.82 to 62+32.77, 75+21.02 to 75+28.38, and 76+63.08 to 77+41.23. The scope of the analysis is (1) to document the as-built configuration including existing voids and installed ground support, (2) to evaluate the existing ground conditions, (3) to determine applicable design loads, (4) to evaluate the stability and determine a ground support system, and (5) to analyze the recommended system.

  12. 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.

  13. Exploring online support spaces: using cluster analysis to examine breast cancer, diabetes and fibromyalgia support groups.

    Science.gov (United States)

    Chen, Annie T

    2012-05-01

    This study sought to characterize and compare online discussion forums for three conditions: breast cancer, type 1 diabetes and fibromyalgia. Though there has been considerable work examining online support groups, few studies have considered differences in discussion content between health conditions. In addition, in contrast to the extant literature, this study sought to employ a semi-automated approach to examine health-related online communities. Online discussion content for the three conditions was compiled, pre-processed, and clustered at the thread level using the bisecting k-means algorithm. Though the clusters for each condition differed, the clusters fell into a set of common categories: Generic, Support, Patient-Centered, Experiential Knowledge, Treatments/Procedures, Medications, and Condition Management. The cluster analyses facilitate an increased understanding of various aspects of patient experience, including significant emotional and temporal aspects of the illness experience. The clusters highlighted the changing nature of patients' information needs. Information provided to patients should be tailored to address their needs at various points during their illness. In addition, cluster analysis may be integrated into online support groups or other types of online interventions to assist patients in finding information. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

  14. Vibration testing and analysis of a multiply supported piping system

    Energy Technology Data Exchange (ETDEWEB)

    Hsieh, B.J.; Kot, C.A.; Srinivasan, M.G.

    1987-01-01

    The behavior of nuclear power plant piping systems during earthquake, and the most appropriate and economical mode of supporting such piping, is an issue of major concern. Consequently, the verification and validation of piping analysis methods and assumptions used in the design and safety assessment of nuclear power plants are of great interest. As part of its program on the validation of seismic calculational methods the US Nuclear Regulatory Commission (NRC) is specifically interested in the validation of the multiple support piping analysis module of the SMACS (Seismic Methodology Analysis Chain with Statistics) computer code. Data for the comparison of the dynamic behavior of various pipe hanger configurations and for the validation of piping response analyses were recently obtained in the large shaker experiments (SHAG) conducted at the HDR (Heissdampfreaktor) test facility in Kahl/Main, Federal Republic of Germany. This paper describes preliminary results from the SHAG piping response tests and the approach taken in the validation of the SMACS code piping analysis.

  15. Examination of bariatric surgery Facebook support groups: a content analysis.

    Science.gov (United States)

    Koball, Afton M; Jester, Dylan J; Domoff, Sarah E; Kallies, Kara J; Grothe, Karen B; Kothari, Shanu N

    2017-08-01

    Support following bariatric surgery is vital to ensure long-term postoperative success. Many individuals undergoing bariatric surgery are turning to online modalities, especially the popular social media platform Facebook, to access support groups and pages. Despite evidence suggesting that the majority of patients considering bariatric surgery are utilizing online groups, little is known about the actual content of these groups. The purpose of the present study was to conduct a content analysis of bariatric surgery support groups and pages on Facebook. Online via Facebook, independent academic medical center, United States. Data from bariatric surgery-related Facebook support groups and pages were extracted over a 1-month period in 2016. Salient content themes (e.g., progress posts, depression content, eating behaviors) were coded reliably (all κ> .70). More than 6,800 posts and replies were coded. Results indicated that seeking recommendations (11%), providing information or recommendations (53%), commenting on changes since surgery (19%), and lending support to other members (32%) were the most common types of posts. Content surrounding anxiety, eating behaviors, depression, body image, weight bias, and alcohol was found less frequently. Online bariatric surgery groups can be used to receive support, celebrate physical and emotional accomplishments, provide anecdotal accounts of the "bariatric lifestyle" for preoperative patients, and comment on challenges with mental health and experiences of weight bias. Providers should become acquainted with the content commonly found in online groups and exercise caution in recommending these platforms to information-seeking patients. Copyright © 2017 American Society for Bariatric Surgery. Published by Elsevier Inc. All rights reserved.

  16. 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.

  17. 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…

  18. Factors influencing the outcome of paediatric cardiac surgical patients during extracorporeal circulatory support

    Directory of Open Access Journals (Sweden)

    Peek Giles J

    2007-01-01

    Full Text Available Abstract Background Veno-arterial extracorporeal membrane oxygenation (ECMO is a common modality of circulatory assist device used in children. We assessed the outcome of children who had ECMO following repair of congenital cardiac defects (CCD and identified the risk factors associated with hospital mortality. Methods From April 1990 to December 2003, 53 patients required ECMO following surgical correction of CCD. Retrospectively collected data was analyzed with univariate and multivariate logistic regression analysis. Results Median age and weight of the patients were 150 days and 5.4 kgs respectively. The indications for ECMO were low cardiac output in 16, failure to wean cardiopulmonary bypass in 13, cardiac arrest in 10 and cardio-respiratory failure in 14 patients. The mean duration of ECMO was 143 hours. Weaning off from ECMO was successful in 66% and of these 83% were survival to hospital-discharge. 37.7% of patients were alive for the mean follow-up period of 75 months. On univariate analysis, arrhythmias, ECMO duration >168 hours, bleeding complications, renal replacement therapy on ECMO, arrhythmias and cardiac arrest after ECMO were associated with hospital mortality. On multivariate analysis, abnormal neurology, bleeding complications and arrhythmias after ECMO were associated with hospital mortality. Extra and intra-thoracic cannulations were used in 79% and 21% of patients respectively and extra-thoracic cannulation had significantly less bleeding complications (p = 0.031. Conclusion ECMO provides an effective circulatory support following surgical repair of CCD in children. Extra-thoracic cannulation is associated with less bleeding complications. Abnormal neurology, bleeding complications on ECMO and arrhythmias after ECMO are poor prognostic indicators for hospital survival.

  19. Family Engagement in Literacy Activities: Revised Factor Structure for the Familia--An Instrument Examining Family Support for Early Literacy Development

    Science.gov (United States)

    Buhs, Eric S.; Welch, Greg; Burt, Jennifer; Knoche, Lisa

    2011-01-01

    This study evaluated a data-set drawn using "The Familia"--a measure originally developed to evaluate shared-reading activities. A newly developed set of conceptual supports and a confirmatory factor analysis (CFA) were applied to a new factor structure/model. Data were drawn from 219 young children and their families (mean age = 43…

  20. Family Engagement in Literacy Activities: Revised Factor Structure for the Familia--An Instrument Examining Family Support for Early Literacy Development

    Science.gov (United States)

    Buhs, Eric S.; Welch, Greg; Burt, Jennifer; Knoche, Lisa

    2011-01-01

    This study evaluated a data-set drawn using "The Familia"--a measure originally developed to evaluate shared-reading activities. A newly developed set of conceptual supports and a confirmatory factor analysis (CFA) were applied to a new factor structure/model. Data were drawn from 219 young children and their families (mean age = 43 months)…

  1. Family Engagement in Literacy Activities: Revised Factor Structure for the Familia--An Instrument Examining Family Support for Early Literacy Development

    Science.gov (United States)

    Buhs, Eric S.; Welch, Greg; Burt, Jennifer; Knoche, Lisa

    2011-01-01

    This study evaluated a data-set drawn using "The Familia"--a measure originally developed to evaluate shared-reading activities. A newly developed set of conceptual supports and a confirmatory factor analysis (CFA) were applied to a new factor structure/model. Data were drawn from 219 young children and their families (mean age = 43…

  2. Tool for Sizing Analysis of the Advanced Life Support System

    Science.gov (United States)

    Yeh, Hue-Hsie Jannivine; Brown, Cheryl B.; Jeng, Frank J.

    2005-01-01

    Advanced Life Support Sizing Analysis Tool (ALSSAT) is a computer model for sizing and analyzing designs of environmental-control and life support systems (ECLSS) for spacecraft and surface habitats involved in the exploration of Mars and Moon. It performs conceptual designs of advanced life support (ALS) subsystems that utilize physicochemical and biological processes to recycle air and water, and process wastes in order to reduce the need of resource resupply. By assuming steady-state operations, ALSSAT is a means of investigating combinations of such subsystems technologies and thereby assisting in determining the most cost-effective technology combination available. In fact, ALSSAT can perform sizing analysis of the ALS subsystems that are operated dynamically or steady in nature. Using the Microsoft Excel spreadsheet software with Visual Basic programming language, ALSSAT has been developed to perform multiple-case trade studies based on the calculated ECLSS mass, volume, power, and Equivalent System Mass, as well as parametric studies by varying the input parameters. ALSSAT s modular format is specifically designed for the ease of future maintenance and upgrades.

  3. The Structure of Multidimensional Perfectionism: Support for a Bifactor Model With a Dominant General Factor.

    Science.gov (United States)

    Smith, Martin M; Saklofske, Donald H

    2016-08-05

    Evidence suggests perfectionism is a multidimensional construct composed of 2 higher order factors: perfectionistic strivings and perfectionistic concerns. However, the substantial overlap between perfectionistic strivings and perfectionistic concerns is problematic, as are the unanswered questions regarding the structure of perfectionism following removal of common variance. This research addressed this through bifactor modeling. Three student samples (N = 742) completed Hewitt and Flett's ( 1991 ) Multidimensional Perfectionism Scale, Frost, Marten, Lahart, and Rosenblate's ( 1990 ) Multidimensional Perfectionism Scale, and Slaney, Rice, Mobley, Trippi, and Ashby's ( 2001 ) Almost Perfect Scale-Revised. Greater support was consistently found for the bifactor model, relative to the 2-factor model. Results suggest the bifactor model best represents the structure of perfectionism and provide preliminary support for the use of a general factor score. Researchers are cautioned that removal of general variance may render the reliability of specific factors (i.e., perfectionistic strivings and perfectionistic concerns) suspect.

  4. 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

  5. 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....

  6. Human Factors Analysis Support Tool (H-FAST) Project

    Data.gov (United States)

    National Aeronautics and Space Administration — Designing complex systems, such as those used by NASA, requires a coordinated effort among a variety of engineering teams. In order to be successful, the...

  7. 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.

  8. State support as factor of increase of innovative activity of industrial enterprises

    Directory of Open Access Journals (Sweden)

    N.N. Bondarenko

    2011-10-01

    Full Text Available The article is devoted research of factors of increase of innovative activity of enterprise, the indexes of innovative activity of industrial enterprises are analysed in Ukraine, the necessity of creation of attractive terms is grounded for development of innovative activity and increase of innovative activity of management subjects at state level, the forms of state support as factor of increase of innovative activity of industrial enterprises are considered.

  9. 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...

  10. Hypermedia support for engineering design systems: Application to fatigue analysis

    Science.gov (United States)

    Saeaeski, Juha; Sipilae, Sisko; Marquis, Gary

    1992-12-01

    The possibilities of using hypermedia for supporting engineering design systems are discussed. The application selected to test the hypermedia ideas was fatigue analysis. In addition, the possibility of combining hypermedia and expert system ideas into a fatigue expert system is reported. Hypermedia's underlying notion of linking nodes of information and its capability to handle these information entities stored appear to be well suited for engineering system support systems, especially in those engineering design systems where there exists a great demand for representing graphical information in a convenient way. This can be realized using hypermedia tools that are based on hypermedia techniques. The resulting fatigue handbook covers only part of the hypermedia's possibilities. The development of a prototype application indicates the efficiency of a hypermedia tool to create an electronic manual.

  11. Sustained Implementation of Evidence-based Programs in Disadvantaged Communities: A Conceptual Framework of Supporting Factors.

    Science.gov (United States)

    Hodge, Lauren M; Turner, Karen M T

    2016-09-01

    This paper presents a review of the empirical literature for studies evaluating factors that facilitate and create barriers to sustained program implementation in disadvantaged communities. It outlines study methodology and sustainment outcomes and proposes a conceptual model that involves implementation sustainment support for providers delivering evidence-based health and family services in disadvantaged communities. Sustained program implementation in the community setting is a significant issue as only 43% of studies reported successfully sustained programs. The review identified 18 factors that facilitate success and create barriers to program sustainment. The factors are synthesized into three themes; program characteristics, workplace capacity, and process and interaction factors. The majority of factors map onto commonly cited sustainability influences in implementation science. However, there was an additional focus for studies included in this review on the importance of factors such as program burden, program familiarity and perceived competence in program skills, workplace support for the program, staff mobility and turnover, supervision and peer support, and ongoing technical assistance. The need to use a conceptual framework and develop measures to guide and evaluate capacity building in EBP implementation and sustainment in low-resource community settings is highlighted.

  12. Online Social Support for Patients with Multiple Sclerosis: A Thematic Analysis of Messages Posted to a Virtual Support Community

    Directory of Open Access Journals (Sweden)

    Masoumeh Abbasi Shavazi

    2016-07-01

    Full Text Available Background: Currently with the emergence of the Internet, patients have an opportunity to exchange social support online. However, little attention has been devoted to different dimensions of online social support exchanged in virtual support communities for patients with multiple sclerosis (MS. Methods: To provide a rich insight, the aim of this qualitative study was to explore and categorize different dimensions of online social support in messages exchanged in a virtual support community for patients with MS. A total of 548 posted messages created during one year period were selected using purposive sampling to consider the maximum variation sampling. Prior-research-driven thematic analysis was then conducted. In this regard, we used the Cutruna and Suhr’s coding system. The messages that could not be categorized with the used coding system were thematically analyzed to explore new additional social support themes. Results: The results showed that various forms of social support including informational, emotional, network, esteem and tangible support were exchanged. Moreover, new additional social support themes including sharing personal experiences, sharing coping strategies and spiritual support emerged in this virtual support community. Conclusion: The wide range of online social support exchanged in the virtual support community can be regarded as a supplementary source of social support for patients with MS. Future researches can examine online social support more comprehensively considering additional social support themes emerging in the present study.

  13. Information delivery manuals to facilitate it supported energy analysis

    DEFF Research Database (Denmark)

    Mondrup, Thomas Fænø; Karlshøj, Jan; Vestergaard, Flemming

    In response to continuing Building Information Modeling (BIM) progress, building performance simulation tools such as IESVE are being utilized to explore construction projects and influence design decisions with increasing frequency. To maximize the potential of these tools, a specification...... of information exchange and digital workflows is required. This paper presents the preliminary findings of an ongoing study aimed at developing an Information Delivery Manual (IDM) for IT supported energy analysis at concept design phase. The IDM development is based on: (1) a review of current approaches (2...

  14. Construction of an integrated database to support genomic sequence analysis

    Energy Technology Data Exchange (ETDEWEB)

    Gilbert, W.; Overbeek, R.

    1994-11-01

    The central goal of this project is to develop an integrated database to support comparative analysis of genomes including DNA sequence data, protein sequence data, gene expression data and metabolism data. In developing the logic-based system GenoBase, a broader integration of available data was achieved due to assistance from collaborators. Current goals are to easily include new forms of data as they become available and to easily navigate through the ensemble of objects described within the database. This report comments on progress made in these areas.

  15. Supporting Space Systems Design via Systems Dependency Analysis Methodology

    Science.gov (United States)

    Guariniello, Cesare

    assess the behavior of each system based on its internal status and on the topology of its dependencies on systems connected to it. Designers and decision makers can therefore quickly analyze and explore the behavior of complex systems and evaluate different architectures under various working conditions. The methods support educated decision making both in the design and in the update process of systems architecture, reducing the need to execute extensive simulations. In particular, in the phase of concept generation and selection, the information given by the methods can be used to identify promising architectures to be further tested and improved, while discarding architectures that do not show the required level of global features. The methods, when used in conjunction with appropriate metrics, also allow for improved reliability and risk analysis, as well as for automatic scheduling and re-scheduling based on the features of the dependencies and on the accepted level of risk. This dissertation illustrates the use of the two methods in sample aerospace applications, both in the operational and in the developmental domain. The applications show how to use the developed methodology to evaluate the impact of failures, assess the criticality of systems, quantify metrics of interest, quantify the impact of delays, support informed decision making when scheduling the development of systems and evaluate the achievement of partial capabilities. A larger, well-framed case study illustrates how the Systems Operational Dependency Analysis method and the Systems Developmental Dependency Analysis method can support analysis and decision making, at the mid and high level, in the design process of architectures for the exploration of Mars. The case study also shows how the methods do not replace the classical systems engineering methodologies, but support and improve them.

  16. Evaluation of User Support: Factors That Affect User Satisfaction With Helpdesks and Helplines

    NARCIS (Netherlands)

    Velsen, van Lex S.; Steehouder, Michael F.; Jong, de Menno D.T.

    2007-01-01

    In addition to technical documentation, face-to-face helpdesks and telephonic helplines are a powerful means for supporting users of technical products and services. This study investigates the factors that determine user satisfaction with helpdesks and helplines. A survey, based on the SERVQUAL fra

  17. The General Factor of Personality (GFP) and parental support: Testing a prediction from Life History Theory

    NARCIS (Netherlands)

    Linden, D. van der; Figueredo, A.J.; Leeuw, R.N.H. de; Scholte, R.H.J.; Engels, R.C.M.E.

    2012-01-01

    In the present study, we tested whether the General Factor of Personality (GFP) is related to the level of parental support. The GFP is assumed to occupy the apex of the hierarchy of human personality structure and is believed to reflect a socially and sexually selected aggregate of behavioral chara

  18. Probabilistic Calibration of Fatigue Design Factors for Offshore Wind Turbine Support Structures

    DEFF Research Database (Denmark)

    Ramirez, José Rangel; Sørensen, John Dalsgaard

    2010-01-01

    This paper describes a reliability-based approach to determine fatigue design factors (FDF) for offshore wind turbine support structures made of steel. The FDF values are calibrated to a specific reliability level and linked to a specific inspection and maintenance (I&M) strategy used for the con...

  19. Evaluation of User Support: Factors That Affect User Satisfaction With Helpdesks and Helplines

    NARCIS (Netherlands)

    van Velsen, Lex Stefan; Steehouder, M.F.; de Jong, Menno D.T.

    2007-01-01

    In addition to technical documentation, face-to-face helpdesks and telephonic helplines are a powerful means for supporting users of technical products and services. This study investigates the factors that determine user satisfaction with helpdesks and helplines. A survey, based on the SERVQUAL

  20. 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.

  1. Support loss and Q factor enhancement for a rocking mass microgyroscope.

    Science.gov (United States)

    Wang, Xiong; Xiao, Dingbang; Zhou, Zelong; Wu, Xuezhong; Chen, Zhihua; Li, Shengyi

    2011-01-01

    A rocking mass gyroscope (RMG) is a kind of vibrating mass gyroscope with high sensitivity, whose driving mode and sensing mode are completely uniform. MEMS RMG devices are a research hotspot now because they have the potential to be used in space applications. Support loss is the dominant energy loss mechanism influencing their high sensitivity. An accurate analytical model of support loss for RMGs is presented to enhance their Q factors. The anchor type and support loss mechanism of an RMG are analyzed. Firstly, the support loads, powers flowing into support structure, and vibration energy of an RMG are all developed. Then the analytical model of support loss for the RMG is developed, and its sensitivities to the main structural parameters are also analyzed. High-Q design guidelines for rocking mass microgyroscopes are deduced. Finally, the analytical model is validated by the experimental data and the data from the existing literature. The thicknesses of the prototypes are reduced from 240 μm to 60 μm, while Q factors increase from less than 150 to more than 800. The derived model is general and applicable to various beam resonators, providing significant insight to the design of high-Q MEMS devices.

  2. Support Loss and Q Factor Enhancement for a Rocking Mass Microgyroscope

    Directory of Open Access Journals (Sweden)

    Zhihua Chen

    2011-10-01

    Full Text Available A rocking mass gyroscope (RMG is a kind of vibrating mass gyroscope with high sensitivity, whose driving mode and sensing mode are completely uniform. MEMS RMG devices are a research hotspot now because they have the potential to be used in space applications. Support loss is the dominant energy loss mechanism influencing their high sensitivity. An accurate analytical model of support loss for RMGs is presented to enhance their Q factors. The anchor type and support loss mechanism of an RMG are analyzed. Firstly, the support loads, powers flowing into support structure, and vibration energy of an RMG are all developed. Then the analytical model of support loss for the RMG is developed, and its sensitivities to the main structural parameters are also analyzed. High-Q design guidelines for rocking mass microgyroscopes are deduced. Finally, the analytical model is validated by the experimental data and the data from the existing literature. The thicknesses of the prototypes are reduced from 240 µm to 60 µm, while Q factors increase from less than 150 to more than 800. The derived model is general and applicable to various beam resonators, providing significant insight to the design of high-Q MEMS devices.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. STATE SUPPORT OF AGRICULTURE AS A FACTOR OF COMPETITIVENESS OF THE RUSSIAN ECONOMY

    Directory of Open Access Journals (Sweden)

    Klimova N. V.

    2014-06-01

    Full Text Available The main goal of this article is the problem of the need for governments supports for agriculture and the isolation the most promising mechanisms of its regulation for the creation in international trade sustainable competitive advantages of the Russian Federation. The retrospective mathematical-statistical analysis in the study of time series of the state support, as well as exploring the current legislation of the Russian Federation revealed vectors of state policy in the field of agricultural support and develop promising directions for its improvement

  8. Porflow modeling supporting the FY14 salstone special analysis

    Energy Technology Data Exchange (ETDEWEB)

    Flach, G. [Savannah River Site (SRS), Aiken, SC (United States). Savannah River National Lab. (SRNL); Taylor, G. [Savannah River Site (SRS), Aiken, SC (United States). Savannah River National Lab. (SRNL)

    2014-04-01

    PORFLOW related analyses supporting the Saltstone FY14 Special Analysis (SA) described herein are based on prior modeling supporting the Saltstone FY13 SA. Notable changes to the previous round of simulations include: a) consideration of Saltstone Disposal Unit (SDU) design type 6 under “Nominal” and “Margin” conditions, b) omission of the clean cap fill from the nominal SDU 2 and 6 modeling cases as a reasonable approximation of greater waste grout fill heights, c) minor updates to the cementitious materials degradation analysis, d) use of updated I-129 sorption coefficient (Kd) values in soils, e) assignment of the pH/Eh environment of saltstone to the underlying floor concrete, considering down flow through an SDU, and f) implementation of an improved sub-model for Tc release in an oxidizing environment. These new model developments are discussed and followed by a cursory presentation of simulation results. The new Tc release sub-model produced significantly improved (smoother) flux results compared to the FY13 SA. Further discussion of PORFLOW model setup and simulation results will be presented in the FY14 SA, including dose results.

  9. A System Supporting the Analysis of Motorway Traffic Accidents

    Directory of Open Access Journals (Sweden)

    Davide Anghinolfi

    2015-12-01

    Full Text Available This work presents a business intelligence tool for monitoring traffic accidents on motorways and supporting decisions relevant to road safety. The system manages information on road characteristics, traffic accidents and traffic volumes and produces reports for monitoring the evolution of key performance indicators for road safety, supporting decisions on actions for risk mitigation and safety improvements for road users. The paper illustrates the different types of analyses performed by the system. Pattern based analysis is used to evaluate safety performance indicators for the road sections matching defined patterns. Two different road segmentation algorithms, used to identify the most critical road sections according to various severity indicators, are presented and discussed. Differential analysis compares the value of selected severity indicators before and after the implementation of an intervention on a road. Finally, a graphical user interface allows the accident locations to be visualized and accidents with specific characteristics to be highlighted. The system was evaluated on the data collected between 2009 and 2011 for the A15 motorway in Italy, connecting Parma to La Spezia.

  10. "It takes a village" to support the vocabulary development of children with multiple risk factors.

    Science.gov (United States)

    Baydar, Nazli; Küntay, Aylin C; Yagmurlu, Bilge; Aydemir, Nuran; Cankaya, Dilek; Göksen, Fatos; Cemalcilar, Zeynep

    2014-04-01

    Data from a nationally representative sample from Turkey (N = 1,017) were used to investigate the environmental factors that support the receptive vocabulary of 3-year-old children who differ in their developmental risk due to family low economic status and elevated maternal depressive symptoms. Children's vocabulary knowledge was strongly associated with language stimulation and learning materials in all families regardless of risk status. Maternal warmth and responsiveness supported vocabulary competence in families of low economic status only when maternal depressive symptoms were low. In families with the highest levels of risk, that is, with depression and economic distress jointly present, support by the extended family and neighbors for caring for the child protected children's vocabulary development against these adverse conditions. The empirical evidence on the positive contribution of extrafamilial support to young children's receptive vocabulary under adverse conditions allows an expansion of our current theorizing about influences on language development.

  11. Clinical decision support tools: analysis of online drug information databases

    Directory of Open Access Journals (Sweden)

    Seamon Matthew J

    2007-03-01

    Full Text Available Abstract Background Online drug information databases are used to assist in enhancing clinical decision support. However, the choice of which online database to consult, purchase or subscribe to is likely made based on subjective elements such as history of use, familiarity, or availability during professional training. The purpose of this study was to evaluate clinical decision support tools for drug information by systematically comparing the most commonly used online drug information databases. Methods Five commercially available and two freely available online drug information databases were evaluated according to scope (presence or absence of answer, completeness (the comprehensiveness of the answers, and ease of use. Additionally, a composite score integrating all three criteria was utilized. Fifteen weighted categories comprised of 158 questions were used to conduct the analysis. Descriptive statistics and Chi-square were used to summarize the evaluation components and make comparisons between databases. Scheffe's multiple comparison procedure was used to determine statistically different scope and completeness scores. The composite score was subjected to sensitivity analysis to investigate the effect of the choice of percentages for scope and completeness. Results The rankings for the databases from highest to lowest, based on composite scores were Clinical Pharmacology, Micromedex, Lexi-Comp Online, Facts & Comparisons 4.0, Epocrates Online Premium, RxList.com, and Epocrates Online Free. Differences in scope produced three statistical groupings with Group 1 (best performers being: Clinical Pharmacology, Micromedex, Facts & Comparisons 4.0, Lexi-Comp Online, Group 2: Epocrates Premium and RxList.com and Group 3: Epocrates Free (p Conclusion Online drug information databases, which belong to clinical decision support, vary in their ability to answer questions across a range of categories.

  12. Supporting secure programming in web applications through interactive static analysis.

    Science.gov (United States)

    Zhu, Jun; Xie, Jing; Lipford, Heather Richter; Chu, Bill

    2014-07-01

    Many security incidents are caused by software developers' failure to adhere to secure programming practices. Static analysis tools have been used to detect software vulnerabilities. However, their wide usage by developers is limited by the special training required to write rules customized to application-specific logic. Our approach is interactive static analysis, to integrate static analysis into Integrated Development Environment (IDE) and provide in-situ secure programming support to help developers prevent vulnerabilities during code construction. No additional training is required nor are there any assumptions on ways programs are built. Our work is motivated in part by the observation that many vulnerabilities are introduced due to failure to practice secure programming by knowledgeable developers. We implemented a prototype interactive static analysis tool as a plug-in for Java in Eclipse. Our technical evaluation of our prototype detected multiple zero-day vulnerabilities in a large open source project. Our evaluations also suggest that false positives may be limited to a very small class of use cases.

  13. Supporting secure programming in web applications through interactive static analysis

    Directory of Open Access Journals (Sweden)

    Jun Zhu

    2014-07-01

    Full Text Available Many security incidents are caused by software developers’ failure to adhere to secure programming practices. Static analysis tools have been used to detect software vulnerabilities. However, their wide usage by developers is limited by the special training required to write rules customized to application-specific logic. Our approach is interactive static analysis, to integrate static analysis into Integrated Development Environment (IDE and provide in-situ secure programming support to help developers prevent vulnerabilities during code construction. No additional training is required nor are there any assumptions on ways programs are built. Our work is motivated in part by the observation that many vulnerabilities are introduced due to failure to practice secure programming by knowledgeable developers. We implemented a prototype interactive static analysis tool as a plug-in for Java in Eclipse. Our technical evaluation of our prototype detected multiple zero-day vulnerabilities in a large open source project. Our evaluations also suggest that false positives may be limited to a very small class of use cases.

  14. SENSITIVITY ANALYSIS FOR ROLLING PROCESS BASED ON SUPPORT VECTOR MACHINE

    Institute of Scientific and Technical Information of China (English)

    Huang Yanwei; Wu Tihua; Zhao Jingyi; Wang Yiqun

    2005-01-01

    A method for the calculation of the sensitivity factors of the rolling process has been obtained by differentiating the roll force model based on support vector machine. It can eliminate the algebraic loop of the analytical model of the rolling process. The simulations in the first stand of five stand cold tandem rolling mill indicate that the calculation for sensitivities by this proposed method can obtain a good accuracy, and an appropriate adjustment on the control variables determined directly by the sensitivity has an excellent compensation accuracy. Moreover, the roll gap has larger effect on the exit thickness than both front tension and back tension, and it is more efficient to select the roll gap as the controlvariable of the thickness control system in the first stand.

  15. Support for the 7-factor hybrid model of PTSD in a community sample.

    Science.gov (United States)

    Seligowski, Antonia V; Orcutt, Holly K

    2016-03-01

    Research suggests that 4-factor models of posttraumatic stress disorder (PTSD) may be improved upon by the addition of novel factors, such as Dysphoric Arousal, Externalizing Behaviors, and Anhedonia. However, a novel 7-factor hybrid model has demonstrated superior fit in veteran and undergraduate samples. The current study sought to replicate this finding in a trauma-exposed community sample and examined relations with positive (PA) and negative affect (NA). Participants included 403 adults (M(age) = 37.75) recruited through Amazon's MTurk. PTSD was measured using the PTSD Checklist-5 (PCL-5). Confirmatory factor analyses were conducted in Mplus. The 7-factor hybrid model demonstrated good fit: CFI = .96, TLI = .95, RMSEA = .06 (90% CI [.05, .07]), SRMR = .03. This model was superior to the 5- and 6-factor models. All factors demonstrated significant relations with PA and NA, the largest of which were the Externalizing Behaviors (with NA) and Anhedonia (with PA) factors. Results provide support for the 7-factor hybrid model of PTSD using the PCL-5 in a community sample. Findings replicate previous research suggesting that PTSD is highly related to NA, which has been purported as an underlying dimension of PTSD. It is recommended that future research use clinical measures to further examine the hybrid model. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

  16. Factors that influence delivery of tobacco cessation support in general dental practice: a narrative review.

    Science.gov (United States)

    Lala, Rizwana; Csikar, Julia; Douglas, Gail; Muarry, Jenni

    2017-12-01

    To review the literature reporting factors that are associated with the delivery of lifestyle support in general dental practice. A systematic review of the quantitative observational studies describing activities to promote the general health of adults in primary care general dental practice. Behavior change included tobacco cessation, alcohol reduction, diet, weight management, and physical activity. Tooth brushing and oral hygiene behaviors were excluded as the focus of this review was on the common risk factors that affect general health as well as oral health. Six cross sectional studies met the inclusion criteria. Five studies only reported activities to support tobacco cessation. As well as tobacco cessation one study also reported activities related to alcohol usage, physical activity, and Body Mass Index. Perceptions of time availability consistently correlated with activities and beliefs about tobacco cessation, alongside the smoking status of the dental professional. Dentists who perceive having more available time were more likely to discuss smoking with patients, prescribe smoking cessation treatments and direct patients toward (signpost to) lifestyle support services. Dental professionals who smoke were less likely to give smoking cessation advice and counselling than nonsmokers. Finally, the data showed that professional support may be relevant. Professionals who work in solo practices or those who felt a lack of support from the wider professional team (peer support) were more likely to report barriers to delivering lifestyle support. Organizational changes in dental practices to encourage more team working and professional time for lifestyle support may influence delivery. Dental professionals who are smokers may require training to develop their beliefs about the effectiveness of smoking cessation interventions. © 2016 American Association of Public Health Dentistry.

  17. 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.

  18. 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.

  19. Mixture gas component concentration analysis based on support vector machine and infrared spectrum

    Institute of Scientific and Technical Information of China (English)

    Peng Bai; Junhua Liu

    2006-01-01

    @@ A novel quantitative analysis method of multi-component mixture gas concentration based on support vector machine (SVM) and spectroscopy is proposed. Through transformation of the kernel function, the seriously overlapped and nonlinear spectrum data are transformed in high-dimensional space, but the highdimensional data can be processed in the original space. Some factors, such as kernel function, range of the wavelength, and penalty coefficient, are discussed. This method is applied to the quantitative analysis of natural gas components concentration, and the component concentration maximal deviation is 2.28%.

  20. 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…

  1. Confirmatory Factor Analysis of the WISC-IV in a Hospital Referral Sample

    Science.gov (United States)

    Devena, Sarah E.; Gay, Catherine E.; Watkins, Marley W.

    2013-01-01

    Confirmatory factor analysis was used to determine the factor structure of the Wechsler Intelligence Scale for Children-Fourth Edition (WISC-IV) scores of 297 children referred to a children's hospital in the Southwestern United States. Results support previous findings that indicate the WISC-IV is best represented by a direct hierarchical…

  2. Developing SASSA: a Soil Analysis Support System for Archaeologists

    Directory of Open Access Journals (Sweden)

    Clare Wilson

    2008-12-01

    Full Text Available There is constant pressure on field archaeologists to be familiar with the core concepts of a diverse range of specialist disciplines. Soils and sediments are an integral part of archaeological sites, and soil and sedimentary analyses applied to archaeological questions are now recognised as an important branch of geoarchaeology. However, the teaching of soils in archaeology degrees is variable and many archaeologists complain they lack the confidence and skills to describe and interpret properly the deposits they excavate. SASSA (Soil Analysis Support System for Archaeologists is a free-to-use, internet-based system designed to familiarise archaeologists with the concepts and possibilities offered by the scientific study of soils and sediments associated with archaeological sites. The aims of SASSA are: ◦To provide soils training specifically for archaeologists, suitable for either a university or workplace setting. ◦To provide a freely accessible soils and archaeology knowledge base for archaeologists working in either the office or the field. ◦To support archaeologists describing and interpreting soils in the field. ◦To enhance understanding of the types of archaeological questions that soil analysis can help to address. ◦To initiate dialogue between archaeologists, geoarchaeologists, and soil scientists in order to encourage the thoughtful application of soil analyses to archaeological questions. SASSA consists of two core components: a knowledge base and a field tool. The 'front-end' of the website is the knowledge base; this uses wiki technology to allow users to add their own content and encourage dialogue between archaeologists and geoarchaeologists. The field tool uses an XML data structure and decision-tree support system to guide the user through the process of describing and interpreting soils and sediments. SASSA is designed for use on both 'static' (PC and 'mobile' (PDA and laptop hardware in order to provide in situ

  3. Support as a promoting factor of quality of life of the elderly

    Directory of Open Access Journals (Sweden)

    Ermelinda Maria Bernardo Gonçalves Marques

    2013-12-01

    Full Text Available The rapid increase in the aging population poses real challenges to society, making it necessary to get a better understanding of this reality, namely the study of the quality of life and the support given to the elderly. The main objective of this study was to assess the quality of life of the elderly and to determine whether it depends on the support received or not. This is an exploratory, descriptive, analytical, cross-sectional and quantitative study. Methods. For data collection, a questionnaire of characterization sociodemographic was used, the Health StatusQuestionnaire (SF-36 to assess the perception of quality of life, the Smilkstein Family Apgar and the Duke Functional Social SupportQuestionaire.All instrumentswere applied by interview,workingwith a sample btained at a random and probabilistic way, from lists of seniors enrolled in a Health Center in the district of the Guarda, consisting of 247 elderly people, of whom 101 men and 146 women. Results and Discussion. As main results, we point out that the elderly studied reveal a reasonable quality of life and that this depends on the support given. For most of them, the support is received from the formal support network. The elderly who said they did not need support, those who perceive greater social and functional support and greater family apgar tend to perceive better quality of life and reduced degradation of their health status during the last year. Conclusion. This study allowed us to recognize the important role that support (formal and informal has on the quality of life of the elderly, thereby concluding that it is assumed as a promoting factor of the quality of life of this age group.

  4. Supporting factors and barriers in implementing kangaroo mother care in Indonesia

    Directory of Open Access Journals (Sweden)

    Hadi Pratomo

    2012-01-01

    Full Text Available Background Kangaroo mother care (KMC was introduced to Indonesia in the 1990s. Since then, KMC has not been widely implemented and has not received national policy support. Objective The objectives of this case study were to implement KMC by an intervention that would ultimately benefit ten hospitals in Java, Indonesia, as well as identify supporting factors and barriers to KMC implementation. Methods An intervention with four phases was conducted in ten hospitals. Two teaching hospitals were supported to serve as training centers, six hospitals were supported to implement KMC and two other hospitals were supported to strengthen existing KMC practices. The four phases were comprised of a baseline assessment, a five-day training workshop, two supervisory visits to each hospital, and an end-line assessment. Results A total of 344 low birth weight infants received KMC during the intervention period. Good progress with regards to implementation was observed in most hospitals between the first and second supervisory visits. Supporting factors for KMC were the following: support received from hospital management, positive attitudes of healthcare providers, patients, families and communities, as well as the availability of resources. The most common challenges were record keeping and data collection, human resources and staff issues, infrastructure and budgets, discharge and follow-up, as well as family issues. Challenges related to the family were the inability of the mother or family to visit the infant frequently to provide KMC, and the affordability of hospital user fees for the infant to stay in the hospital for a sufficient period of time. Conclusion KMC appeared to be well accepted in most hospitals. For an intervention to have maximum impact, it is important to integrate services and maintain a complex network of communication systems. [Paediatr Indones. 2012;52:43-50].

  5. Tradeoff Analysis for Combat Service Support Wireless Communications Alternatives

    Energy Technology Data Exchange (ETDEWEB)

    Burnette, John R.; Thibodeau, Christopher C.; Greitzer, Frank L.

    2002-02-28

    As the Army moves toward more mobile and agile forces and continued sustainment of numerous high-cost legacy logistics management systems, the requirement for wireless connectivity and a wireless network to supporting organizations has become ever more critical. There are currently several Army communications initiatives underway to resolve this wireless connectivity issue. However, to fully appreciate and understand the value of these initiatives, a Tradeoff Analysis is needed. The present study seeks to identify and assess solutions. The analysis identified issues that impede Interim Brigade Combat Team (IBCT) communication system integration and outlined core requirements for sharing of logistics data between the field and Army battle command systems. Then, the analysis examined wireless communication alternatives as possible solutions for IBCT logistics communications problems. The current baseline system was compared with possible alternatives involving tactical radio systems, wireless/near term digital radio, cellular satellite, and third-generation (3G) wireless technologies. Cellular satellite and 3G wireless technologies offer clear advantages and should be considered for later IBCTs.

  6. How qualitative data analysis software may support the qualitative analysis process

    NARCIS (Netherlands)

    Peters, V.A.M.; Wester, F.P.J.

    2007-01-01

    The last decades have shown large progress in the elaboration of procedures for qualitative data analysis and in the development of computer programs to support this kind of analysis. We believe, however, that the link between methodology and computer software tools is too loose, especially for a no

  7. 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.

  8. Risk factors for nosocomial infections in patients receiving extracorporeal membrane oxygenation supportive therapy.

    Science.gov (United States)

    Sun, Geqin; Li, Binfei; Lan, Haili; Wang, Juan; Lu, Lanfei; Feng, Xueqin; Luo, Xihua; Yan, Haizhong; Mu, Yuejing

    2017-06-22

    The aim of this study was to analyze risk factors for nosocomial infection (NI) in patients receiving extracorporeal membrane oxygenation (ECMO) support. Clinical NI data were collected from patients who received ECMO support therapy, and analyzed retrospectively. Among 75 ECMO patients, 20 were found to have developed NI (infection rate 26.7%); a total of 58 pathogens were isolated, including 43 strains of gram-negative bacteria (74.1%) and 15 strains of gram-positive bacteria (25.9%). Multi-drug resistant strains were highly concentrated and were mainly shown to be Acinetobacter baumannii, Pseudomonas aeruginosa, and coagulase-negative staphylococci. Incidence of NI was related to the duration of ECMO support therapy and the total length of hospital stay, and the differences were statistically significant (P<.05). A prolonged period of ECMO support extended the hospital stay, but it did not increase the mortality rate. However, an elevated level of lactic acid increased the mortality rate in this study population. ECMO-associated secondary NIs correlated significantly with the length of hospital stay and with the duration of ECMO support. Therefore, to reduce the incidence of ECMO-associated NIs, preventive strategies that aim to shorten the duration of ECMO support therapy and avoid lengthy hospitalization should be applied, wherever possible. Copyright © 2017 Elsevier España, S.L.U. All rights reserved.

  9. CRITICAL SUCCESS FACTORS FOR IMPLEMENTING LEAN PRACTICES IN IT SUPPORT SERVICES

    Directory of Open Access Journals (Sweden)

    Goutam Kundu

    2012-12-01

    Full Text Available Many studies have been done to identify the critical success factors (CSFs in for successful lean implementation in the manufacturing firms. But, till date, no systematic study has been done to identify the CSFs from the perspective of lean implementation in IT support service sector. This paper aims to address this area. A detailed literature review was undertaken to identify CSFs for lean implementation in manufacturing and services context and to consider their applicability to the IT support services sector. This paper is based on a conceptual discussion of CSFs as applied to the IT support services sector. The authors proposed a set of CSFs which is believed to be suitable for IT support service enterpri ses. The relevance of CSFs will need to be tested and qualitative research is needed to inform further work. The proposed CSFs are aimed at being useful to IT support services sector as a guideline, so as to ensure a positive outcome of the lean implementation process in IT support services sector.

  10. Evidence supporting the use of recombinant activated factor VII in congenital bleeding disorders

    Directory of Open Access Journals (Sweden)

    Pär I Johansson

    2010-06-01

    Full Text Available Pär I Johansson, Sisse R OstrowskiCapital Region Blood Bank, Section for Transfusion Medicine, Rigshospitalet, University of Copenhagen, Copenhagen, DenmarkBackground: Recombinant activated factor VII (rFVIIa, NovoSeven® was introduced in 1996 for the treatment of hemophilic patients with antibodies against coagulation factor VIII or IX.Objective: To review the evidence supporting the use of rFVIIa for the treatment of patients with congenital bleeding disorders.Patients and methods: English-language databases were searched in September 2009 for reports of randomized controlled trials (RCTs evaluating the ability of rFVIIa to restore hemostasis in patients with congenital bleeding disorders.Results: Eight RCTs involving 256 hemophilic patients with antibodies against coagulation factors, also known as inhibitors, were identified. The evidence supporting the use of rFVIIa in these patients was weak with regard to dose, clinical setting, mode of administration, efficacy, and adverse events, given the limited sample size of each RCT and the heterogeneity of the studies.Conclusion: The authors suggest that rFVIIa therapy in hemophilic patients with inhibitors should be based on the individual’s ability to generate thrombin and form a clot, and not on the patient’s weight alone. Therefore, assays for thrombin generation, such as whole-blood thromboelastography, have the potential to significantly improve the treatment of these patients.Keywords: hemophilia, inhibitors, coagulation factor VIII, coagulation factor IX, rFVIIa, NovoSeven, FEIBA, hemostasis, RCT

  11. Analysis of National and EU Policies Supporting CSR and Impact

    DEFF Research Database (Denmark)

    Moon, Jeremy; Slager, Rieneke; Anastasiadis, Stephanos

    The purpose of this report is to provide an overview of the place of governmental policies in encouraging and supporting Corporate Social Responsibility (CSR) and their effectiveness therein. By: Moon, Jeremy - Slager, Rieneke - Brunn, Christoph - Hardi, Peter - Steen Knudsen, Jette - 2012 The very...... thought of a relationship between CSR and government policies would, from some perspectives, seem counter-intuitive or simply wrong. From these perspectives it would appear to be a category error that a concept founded on voluntarism, vs CSR, should be shaped by the antithesis of voluntarism, vs public...... policy. What the report finds however is that in general terms there has been a remarkable growth of public policies for CSR in Europe. This finding is confirmed both by review of the relevant literature but also our own pan-European analysis. No longer is CSR mainly implicit in public policies...

  12. Portable Life Support Subsystem Thermal Hydraulic Performance Analysis

    Science.gov (United States)

    Barnes, Bruce; Pinckney, John; Conger, Bruce

    2010-01-01

    This paper presents the current state of the thermal hydraulic modeling efforts being conducted for the Constellation Space Suit Element (CSSE) Portable Life Support Subsystem (PLSS). The goal of these efforts is to provide realistic simulations of the PLSS under various modes of operation. The PLSS thermal hydraulic model simulates the thermal, pressure, flow characteristics, and human thermal comfort related to the PLSS performance. This paper presents modeling approaches and assumptions as well as component model descriptions. Results from the models are presented that show PLSS operations at steady-state and transient conditions. Finally, conclusions and recommendations are offered that summarize results, identify PLSS design weaknesses uncovered during review of the analysis results, and propose areas for improvement to increase model fidelity and accuracy.

  13. Support vector classifier based on principal component analysis

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    Support vector classifier (SVC) has the superior advantages for small sample learning problems with high dimensions,with especially better generalization ability.However there is some redundancy among the high dimensions of the original samples and the main features of the samples may be picked up first to improve the performance of SVC.A principal component analysis (PCA) is employed to reduce the feature dimensions of the original samples and the pre-selected main features efficiently,and an SVC is constructed in the selected feature space to improve the learning speed and identification rate of SVC.Furthermore,a heuristic genetic algorithm-based automatic model selection is proposed to determine the hyperparameters of SVC to evaluate the performance of the learning machines.Experiments performed on the Heart and Adult benchmark data sets demonstrate that the proposed PCA-based SVC not only reduces the test time drastically,but also improves the identify rates effectively.

  14. Insurance Contract Analysis for Company Decision Support in Acquisition Management

    Science.gov (United States)

    Chernovita, H. P.; Manongga, D.; Iriani, A.

    2017-01-01

    One of company activities to retain their business is marketing the products which include in acquisition management to get new customers. Insurance contract analysis using ID3 to produce decision tree and rules to be decision support for the insurance company. The decision tree shows 13 rules that lead to contract termination claim. This could be a guide for the insurance company in acquisition management to prevent contract binding with these contract condition because it has a big chance for the customer to terminate their insurance contract before its expired date. As the result, there are several strong points that could be the determinant of contract termination such as: 1) customer age whether too young or too old, 2) long insurance period (above 10 years), 3) big insurance amount, 4) big amount of premium charges, and 5) payment method.

  15. Anonymization of Electronic Medical Records to Support Clinical Analysis

    CERN Document Server

    Gkoulalas-Divanis, Aris

    2013-01-01

    Anonymization of Electronic Medical Records to Support Clinical Analysis closely examines the privacy threats that may arise from medical data sharing, and surveys the state-of-the-art methods developed to safeguard data against these threats. To motivate the need for computational methods, the book first explores the main challenges facing the privacy-protection of medical data using the existing policies, practices and regulations. Then, it takes an in-depth look at the popular computational privacy-preserving methods that have been developed for demographic, clinical and genomic data sharing, and closely analyzes the privacy principles behind these methods, as well as the optimization and algorithmic strategies that they employ. Finally, through a series of in-depth case studies that highlight data from the US Census as well as the Vanderbilt University Medical Center, the book outlines a new, innovative class of privacy-preserving methods designed to ensure the integrity of transferred medical data for su...

  16. A decision support model to determine the critical success factors of asset management services

    Directory of Open Access Journals (Sweden)

    Jooste, Johannes Lodewyk

    2015-05-01

    Full Text Available Business-to-business services relating to physical asset management play an increasingly important role in industry. This is in the context of the current pressures that organisations experience in realising optimal value from their assets. Complying with asset management standards such as ISO 55000 contributes towards the importance of these services. This paper summarises the findings from a study identifying the critical success factors for asset management services, and presents a decision support model that provides the asset management community with access to these factors for decision-making and for improving asset management services.

  17. Psychosocial factors of antenatal anxiety and depression in Pakistan: is social support a mediator?

    Directory of Open Access Journals (Sweden)

    Ahmed Waqas

    Full Text Available Pregnancy is generally viewed as a time of fulfillment and joy; however, for many women it can be a stressful event. In South Asia it is associated with cultural stigmas revolving around gender discrimination, abnormal births and genetic abnormalities.This cross-sectional study was done at four teaching hospitals in Lahore from February, 2014 to June, 2014. A total of 500 pregnant women seen at hospital obstetrics and gynecology departments were interviewed with a questionnaire consisting of three sections: demographics, the Hospital Anxiety and Depression Scale (HADS and the Social Provisions Scale (SPS. Pearson's chi-squared test, bivariate correlations and multiple linear regression were used to analyze associations between the independent variables and scores on the HADS and SPS.Mean age among the 500 respondents was 27.41 years (5.65. Anxiety levels in participants were categorized as normal (145 women, 29%, borderline (110, 22% or anxious (245, 49%. Depression levels were categorized as normal (218 women, 43.6%, borderline (123, 24.6% or depressed (159, 31.8%. Inferential analysis revealed that higher HADS scores were significantly associated with lower scores on the SPS, rural background, history of harassment, abortion, cesarean delivery and unplanned pregnancies (P < .05. Social support (SPS score mediated the relationship between the total number of children, gender of previous children and HADS score. Women with more daughters were significantly more likely to score higher on the HADS and lower on the SPS, whereas higher numbers of sons were associated with the opposite trends in the scores (P < .05.Because of the predominantly patriarchal sociocultural context in Pakistan, the predictors of antenatal anxiety and depression may differ from those in developed countries. We therefore suggest that interventions designed and implemented to reduce antenatal anxiety and depression should take into account these unique factors.

  18. 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.

  19. Confirmatory factor analysis, latent profile analysis, and factor mixture modeling of the syndromes of the Child Behavior Checklist and Teacher Report Form.

    Science.gov (United States)

    Gomez, Rapson; Vance, Alasdair

    2014-12-01

    The current study used confirmatory factor analysis (CFA), latent profile analysis (LPA), and factor mixture modeling (FMM) to examine the co-occurrence of the childhood syndromes using the Child Behavior Checklist (CBCL) and Teacher Report Form (TRF). Parents and teachers completed the CBCL and TRF, respectively, for a clinic-referred sample of 720 children, ages 7-12 years. For the CBCL, the analyses indicated most support a 2-class 2-factor FMM, and for the TRF, there was most support for a 2-class 3-factor model. The classes were all syndromes at average levels and all syndromes at high levels. The findings indicate high syndrome co-occurrence. The implications of the findings for understanding syndrome co-occurrence in the CBCL and TRF, theories of syndrome co-occurrence, and the clinical use of the CBCL and TRF are discussed. (c) 2014 APA, all rights reserved.

  20. 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

  1. Evaluation of User Support: Factors That Affect User Satisfaction With Helpdesks and Helplines

    OpenAIRE

    2007-01-01

    In addition to technical documentation, face-to-face helpdesks and telephonic helplines are a powerful means for supporting users of technical products and services. This study investigates the factors that determine user satisfaction with helpdesks and helplines. A survey, based on the SERVQUAL framework and questionnaire, shows that the SERVQUAL dimensions of customer satisfaction are not applicable in these contexts. Three quality dimensions were found instead: solution quality, the experi...

  2. 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.

  3. Perceived family support of women with breast cancer and affecting factors in Turkey.

    Science.gov (United States)

    Ardahan, Melek; Yesilbalkan, Oznur Usta

    2010-01-01

    The purpose of this study was to examine the percieved family support of the women with breast cancer and the affecting factors. The subjects were breast cancer cases undergoing treatment (n=240). The sample for this study was formed by women who accepted participation, were in the facility between the dates and hours when the study was applied, and who were selected with a nonprobability sampling technique (n=120). Two thirds of the women with breast cancer were in the 40-59 age group. The lowest score women with breast cancer for perceived family support scale was 0.00 and the highest was 40.0, with a mean of 30.1±8.85. In this study, it was determined that perceived family support of Turkish women with breast cancer was reasonable.

  4. FACTORS AFFECTING QUALITY OF LIFE AND LEVEL OF SOCIAL SUPPORT IN CANCER PATIENTS

    Directory of Open Access Journals (Sweden)

    Ayse Berivan Bakan

    2017-04-01

    Full Text Available Background: When people face health problems, their life satisfaction levels and social relations could be ruined. When it comes to an eerie, deadly and chronic disease like cancer, the individual is much more likely to be affected by it. Objective: This descriptive study aims to identify quality of life and level of social support and the affecting factors in cancer patients. Methods: The sample included 170 patients who applied to Internal Diseases, Radiation Oncology, Thorax diseases clinics and Chemotherapy polyclinic in a university hospital in Turkey between March and August, 2005, who met the research criteria, and who volunteered to participate in the study. The sample represented 20 % of the target population. Data were collected through SF-36 Quality of Life Scale and Multidimensional Scale of Perceived Social Support. Results: The patients’ Global Quality of Life mean score was found 38.67 ± 13.64, and mean score for the Perceived Social Support was found 59.19 ± 17.5. Global Quality of Life score was higher in those who underwent an operation and who received ambulatory health care. Although Global Quality of Life was not influenced by the gender variable, male patients’ level of well-being was found to be higher. Perceived Social Support total score was found to be higher in those who knew about their disease. Family support was found to be higher in those who were married and who lived in town; it was found to be low in those who had low socio-economic level and who received inpatient treatment. Friend support was found to be high in those who knew about their disease. Conclusion: There was a linear relationship between Perceived Social Support and Quality of Life. It is recommended that more studies with wider groups of participants would shed more light to the issue of identifying quality of life, social support level and the relationships between them in cancer patients.

  5. The role of supervisor emotional support on individual job satisfaction: A multilevel analysis.

    Science.gov (United States)

    Pohl, Sabine; Galletta, Maura

    2017-02-01

    Supervisor emotional support is a strong determinant of job satisfaction. There is no study examining the effect of supervisor emotional support at the group level on job satisfaction. Multilevel statistical techniques can help disentangle the effects of subjective assessments from those of group factors. The study's aim was to examine the moderating role of supervisor emotional support (group-level variable) on the relationship between work engagement and job satisfaction (individual-level variables). A cross-sectional study was performed in 39units from three Belgian hospitals. A total of 323 nurses completed a self-reported questionnaire. We carried out a multilevel analysis by using Hierarchical Linear Modeling. The results showed that the cross-level interaction was significant. Hence, at individual-level, the nurses with high levels of work engagement showed high levels of job satisfaction and this relationship was stronger when supervisor emotional support at group-level was high. Contextual differences among groups had an impact on the form of the work engagement-job satisfaction relationship. This relationship between work engagement and job satisfaction is an individual and group level phenomenon. Ways to enhance emotional supervisor support include training supervisors in providing support and enhancing communication between nurses and supervisors. Copyright © 2016 Elsevier Inc. All rights reserved.

  6. Factors supporting good partnership working between generalist and specialist palliative care services: a systematic review.

    Science.gov (United States)

    Gardiner, Clare; Gott, Merryn; Ingleton, Christine

    2012-05-01

    The care that most people receive at the end of their lives is provided not by specialist palliative care professionals but by generalists such as GPs, district nurses and others who have not undertaken specialist training in palliative care. A key focus of recent UK policy is improving partnership working across the spectrum of palliative care provision. However there is little evidence to suggest factors which support collaborative working between specialist and generalist palliative care providers. To explore factors that support partnership working between specialist and generalist palliative care providers. Systematic review. A systematic review of studies relating to partnership working between specialist and generalist palliative care providers was undertaken. Six electronic databases were searched for papers published up until January 2011. Of the 159 articles initially identified, 22 papers met the criteria for inclusion. Factors supporting good partnership working included: good communication between providers; clear definition of roles and responsibilities; opportunities for shared learning and education; appropriate and timely access to specialist palliative care services; and coordinated care. Multiple examples exist of good partnership working between specialist and generalist providers; however, there is little consistency regarding how models of collaborative working are developed, and which models are most effective. Little is known about the direct impact of collaborative working on patient outcomes. Further research is required to gain the direct perspectives of health professionals and patients regarding collaborative working in palliative care, and to develop appropriate and cost-effective models for partnership working.

  7. The use of an online support group for neuromuscular disorders: a thematic analysis of message postings.

    Science.gov (United States)

    Meade, Oonagh; Buchanan, Heather; Coulson, Neil

    2017-06-08

    People affected by neuromuscular disorders can experience adverse psychosocial consequences and difficulties accessing information and support. Online support groups provide new opportunities for peer support. The aim of this study was to understand how contributors used the message board function of a newly available neuromuscular disorders online support group. Message postings (n = 1951) from the first five months of the message board of a newly formed online support group for neuromuscular disorders hosted by a charitable organization were analyzed using inductive thematic analysis. Members created a sense of community through disclosing personal information, connecting with people with similar illness experiences or interests, welcoming others and sharing aspirations for the development of a resourceful community. Experiences, emotional reactions and support were shared in relation to: delayed diagnosis; symptom interpretation; illness management and progression; the isolating impact of rare disorders; and the influence of social and political factors on illness experiences. This study provided a novel insight into individuals' experiences of accessing a newly available online support group for rare conditions hosted by a charitable organization. The findings highlight how the online support group provided an important peer support environment for members to connect with others, exchange information and support and engender discussion on political and social issues unique to living with often-rare neuromuscular disorders. Online support groups may therefore provide an important and easily accessible support outlet for people with neuromuscular disorders as well as a platform for empowering members to raise awareness about the impact of living with these conditions. Further research is needed to examine member motivations for using such groups and any effects of participation in greater detail. Implications for rehabilitation Online support groups may

  8. Streaming Support for Data Intensive Cloud-Based Sequence Analysis

    Directory of Open Access Journals (Sweden)

    Shadi A. Issa

    2013-01-01

    Full Text Available Cloud computing provides a promising solution to the genomics data deluge problem resulting from the advent of next-generation sequencing (NGS technology. Based on the concepts of “resources-on-demand” and “pay-as-you-go”, scientists with no or limited infrastructure can have access to scalable and cost-effective computational resources. However, the large size of NGS data causes a significant data transfer latency from the client’s site to the cloud, which presents a bottleneck for using cloud computing services. In this paper, we provide a streaming-based scheme to overcome this problem, where the NGS data is processed while being transferred to the cloud. Our scheme targets the wide class of NGS data analysis tasks, where the NGS sequences can be processed independently from one another. We also provide the elastream package that supports the use of this scheme with individual analysis programs or with workflow systems. Experiments presented in this paper show that our solution mitigates the effect of data transfer latency and saves both time and cost of computation.

  9. ANALYSIS AND COMPARISON OF EXISTING DECISION SUPPORT TECHNOLOGY

    Directory of Open Access Journals (Sweden)

    V. A. Rybak

    2016-01-01

    Full Text Available The article presents the results of an analytical review and comparison of the most common managerial decision support technologies: the analytic hierarchy method, neural networks, fuzzy set theory, genetic algorithms and neural-fuzzy modeling. The advantages and disadvantages of these approaches are shown. Determine the scope of their application. It is shown that the hierarchy analysis method works well with the full initial information, but due to the need for expert comparison of alternatives and the selection of evaluation criteria has a high proportion of subjectivity. For problems in the conditions of risk and uncertainty prediction seems reasonable use of the theory of fuzzy sets and neural networks. It is also considered technology collective decision applied both in the general election, and the group of experts. It reduces the time for conciliation meetings to reach a consensus by the preliminary analysis of all views submitted for the plane in the form of points. At the same time the consistency of opinion is determined by the distance between them.

  10. Assessment of vocational opportunities and continuing job placement for persons with mental disabilities: factors indicating levels of necessary support.

    Science.gov (United States)

    Suzuki, Yoshiko; Kikuchi, Emiko; Watanabe, Shu

    2008-01-01

    We determined primary factors in allocating support for vocational opportunities and continuing job placement for clients with mental disabilities. The study analyzed 29 items regarding work attitudes and vocational skills for 70 clients as assessed by the Tokyo Metropolitan Rehabilitation Center for the Physically and Mentally Disabled. The evaluations were performed using the situational assessment approach with a 3-point support scale system assigned through observation of behavior. The results of these evaluations placed 35 clients in employment groups (A and B) and 35 clients in a sheltered workshop group (C). The data was analyzed by multivariate analysis. Predictions of success and functional differences among the groups were indicated by the data. Differences were found among the three groups in work attitudes and skills such as "self-direction" and "directions for social participation". Out of the 35 clients currently employed, 11 were recognized as needing ongoing assistance from supported employment offices. For the supported employment group (B), the major work attitudes and skills for which they required continuous services for maintaining stable jobs were 'emotional stability' and 'learning of working skills and accomplishment of work.' In a previous study, the major differences between the competitive employment group (A) and the sheltered workshop group (C) were in areas of 'responsibilities,' 'goals for life,' 'motivation for the work and understanding of contents for work,' and 'safety during work.' Our study supports these findings. In addition, transition from the sheltered workshop to supported employment required training to improve skills and support for 'responsibilities,' 'goals for life,' 'participation in leisure activities and community-based activities,' and 'preparation and cleaning for work.'

  11. Socio-Demographic Factors, Social Support, Quality of Life, and HIV/AIDS in Ghana.

    Science.gov (United States)

    Abrefa-Gyan, Tina; Cornelius, Llewellyn J; Okundaye, Joshua

    2016-01-01

    The increase in the access to biomedical interventions for people living with HIV/AIDS in the developing world has not been adequately matched with the requisite psychosocial treatments to help improve the effectiveness of biomedical interventions. Therefore, in this study the author seeks to determine whether socio-demographic characteristics and social support are associated with quality of life in individuals diagnosed with HIV/AIDS in Ghana. A convenience sample of 300 HIV/AIDS support group members was obtained via cross-sectional design survey. The Medical Outcome Studies (MOS) HIV Health Survey, the MOS Social Support Survey (MOS-SSS), and demographic questionnaire instruments were used to assess quality of life, social support, and demographic information respectively. Multiple regression analysis showed that there was a positive association between overall social support and overall quality of life (r = .51). It also showed that being younger, male, attending support group meetings for over a year, and having ≥ 13 years of schooling related to higher quality of life. Implications of the findings for practice, policy, and research in Ghana and the rest of the developing world are discussed.

  12. 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...

  13. [Social support and occupational stress relationship analysis of 1 413 train drivers in a railway bureau].

    Science.gov (United States)

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

    2017-02-06

    Objective: To investigate the social support status of train drivers. Methods: Using cluster sampling, a cross-sectional study was conducted in 1 413 male train drivers (including 301 passenger train drivers, 683 freight train drivers, 85 guest scheduling train drivers, 265 cargo adjustable drivers, and 79 high-speed train drivers) from a railway bureau depot. The survey included individual factors, social support, occupational stressors, strains, personalities, and coping strategy using occupational stress instruments and effort-reward imbalance questionnaire. We compared the difference in social support scores between different drivers, who were divided according to job type and age. Additionally, the correlation between social support score and job strain-related factors was analyzed. The influence of depressive symptoms and job satisfaction were analyzed using a non-conditional logistic multivariate model. Results: The overall average age P(50) (P(25),P(75)) of 1 413 train drivers was 33.92 (27.83,43.58) years. The overall average length of service 12.25 (5.25,22.75) years. A significant difference in social support scores was observed according to job type (H=23.23, Ptrain driver (26 (22,30)), guest scheduling driver (27 (24,30)), cargo adjustable driver (26 (22,31)), and high-speed train driver (30 (26,36)) (P(50)(P(25),P(75))). Additionally, social support scores among different age groups were significantly different (H=6.64, P=0.036). The specific scores were ≤30 years (26 (22,31)), 30-40 years (27 (23,33)), and >40 years (27 (22,31)). Correlation analysis revealed that the social support score was negatively associated with job satisfaction (r=-0.43), reward (r=-0.22), working stability (r=-0.23), promotion opportunities (r=-0.12), positive affectivity (r=-0.31), esteem (r=-0.21), and self-esteem (r=-0.20) scores (PTrain drivers obtained various levels of social support. Social support greatly affected occupational stress. High social support was

  14. Using stakeholder analysis to support moves towards universal coverage: lessons from the SHIELD project.

    Science.gov (United States)

    Gilson, Lucy; Erasmus, Ermin; Borghi, Jo; Macha, Janet; Kamuzora, Peter; Mtei, Gemini

    2012-03-01

    Stakeholder analysis is widely recommended as a tool for gathering insights on policy actor interests in, positions on, and power to influence, health policy issues. Such information is recognized to be critical in developing viable health policy proposals, and is particularly important for new health care financing proposals that aim to secure universal coverage (UC). However, there remain surprisingly few published accounts of the use of stakeholder analysis in health policy development generally, and health financing specifically, and even fewer that draw lessons from experience about how to do and how to use such analysis. This paper, therefore, aims to support those developing or researching UC reforms to think both about how to conduct stakeholder analysis, and how to use it to support evidence-informed pro-poor health policy development. It presents practical lessons and ideas drawn from experience of doing stakeholder analysis around UC reforms in South Africa and Tanzania, combined with insights from other relevant material. The paper has two parts. The first presents lessons of experience for conducting a stakeholder analysis, and the second, ideas about how to use the analysis to support policy design and the development of actor and broader political management strategies. Comparison of experience across South Africa and Tanzania shows that there are some commonalities concerning which stakeholders have general interests in UC reform. However, differences in context and in reform proposals generate differences in the particular interests of stakeholders and their likely positioning on reform proposals, as well as in their relative balance of power. It is, therefore, difficult to draw cross-national policy comparisons around these specific issues. Nonetheless, the paper shows that cross-national policy learning is possible around the approach to analysis, the factors influencing judgements and the implications for, and possible approaches to, management

  15. Facility Safeguardability Analysis In Support of Safeguards-by-Design

    Energy Technology Data Exchange (ETDEWEB)

    Philip Casey Durst; Roald Wigeland; Robert Bari; Trond Bjornard; John Hockert; Michael Zentner

    2010-07-01

    methodology can be adapted for evaluating and assessing the safeguardability of nuclear facilities – both existing, as well as those still on the drawing board. The advantages of the Facility Safeguardability Analysis is that it would not only give the facility designer an analytical method for evaluating and assessing the safeguards measures and approaches for the prospective facility, but also the ability to optimize the design of the facility process for enhancing facility safeguardability. The following report explains the need for Facility Safeguardability Analysis and explains how it could be used in the Safeguards-by-Design, in support of the design and construction of nuclear facilities.

  16. Supporting analysis and assessments quality metrics: Utility market sector

    Energy Technology Data Exchange (ETDEWEB)

    Ohi, J. [National Renewable Energy Lab., Golden, CO (United States)

    1996-10-01

    In FY96, NREL was asked to coordinate all analysis tasks so that in FY97 these tasks will be part of an integrated analysis agenda that will begin to define a 5-15 year R&D roadmap and portfolio for the DOE Hydrogen Program. The purpose of the Supporting Analysis and Assessments task at NREL is to provide this coordination and conduct specific analysis tasks. One of these tasks is to prepare the Quality Metrics (QM) for the Program as part of the overall QM effort at DOE/EERE. The Hydrogen Program one of 39 program planning units conducting QM, a process begun in FY94 to assess benefits/costs of DOE/EERE programs. The purpose of QM is to inform decisionmaking during budget formulation process by describing the expected outcomes of programs during the budget request process. QM is expected to establish first step toward merit-based budget formulation and allow DOE/EERE to get {open_quotes}most bang for its (R&D) buck.{close_quotes} In FY96. NREL coordinated a QM team that prepared a preliminary QM for the utility market sector. In the electricity supply sector, the QM analysis shows hydrogen fuel cells capturing 5% (or 22 GW) of the total market of 390 GW of new capacity additions through 2020. Hydrogen consumption in the utility sector increases from 0.009 Quads in 2005 to 0.4 Quads in 2020. Hydrogen fuel cells are projected to displace over 0.6 Quads of primary energy in 2020. In future work, NREL will assess the market for decentralized, on-site generation, develop cost credits for distributed generation benefits (such as deferral of transmission and distribution investments, uninterruptible power service), cost credits for by-products such as heat and potable water, cost credits for environmental benefits (reduction of criteria air pollutants and greenhouse gas emissions), compete different fuel cell technologies against each other for market share, and begin to address economic benefits, especially employment.

  17. Identification of factors that support successful implementation of care bundles in the acute medical setting: a qualitative study.

    Science.gov (United States)

    Green, Stuart A; Bell, Derek; Mays, Nicholas

    2017-02-07

    Clinical guidelines offer an accessible synthesis of the best evidence of effectiveness of interventions, providing recommendations and standards for clinical practice. Many guidelines are relevant to the diagnosis and management of the acutely unwell patient during the first 24-48 h of admission. Care bundles are comprised of a small number of evidence-based interventions that when implemented together aim to achieve better outcomes than when implemented individually. Care bundles that are explicitly developed from guidelines to provide a set of related evidence-based actions have been shown to improve the care of many conditions in emergency, acute and critical care settings. This study aimed to review the implementation of two distinct care bundles in the acute medical setting and identify the factors that supported successful implementation. Two initiatives that had used a systematic approach to quality improvement to successfully implement care bundles within the acute medical setting were selected as case studies. Contemporaneous data generated during the initiatives included the review reports, review minutes and audio recordings of the review meetings at different time points. Data were subject to deductive analysis using three domains of the Consolidated Framework for Implementation Research to identify factors that were important in the implementation of the care bundles. Several factors were identified that directly influenced the implementation of the care bundles. Firstly, the availability of resources to support initiatives, which included training to develop quality improvement skills within the team and building capacity within the organisation more generally. Secondly, the perceived sustainability of changes by stakeholders influenced the embedding new care processes into existing clinical systems, maximising their chance of being sustained. Thirdly, senior leadership support was seen as critical not just in supporting implementation but also in

  18. Analysis of the Improvement Methods for Equipment Maintenance Support

    Institute of Scientific and Technical Information of China (English)

    ZHANG Rui-chang; ZHAO Song-zheng

    2005-01-01

    According to military requirement, and based on the problems of equipment maintenance support methods in high-tech battles, each element supporting equipment maintenance is analyzed, and the methods for improving equipment maintenance are proposed.

  19. Stress Analysis of Single Spacer Grid Support considering Fuel Rod

    Energy Technology Data Exchange (ETDEWEB)

    Yoo, Y. G.; Jung, D. H.; Kim, J. H. [Chungnam National University, Daejeon (Korea, Republic of); Park, J. K.; Jeon, K. L. [Korea Nuclear Fuel, Daejeon (Korea, Republic of)

    2010-10-15

    Pressurized water reactor (PWR) nuclear fuel assembly is mainly composed of a top-end piece, a bottom-end piece, lots of fuel rods, and several spacer grids. Among them, the main function of spacer grid is protecting fuel rods from Fluid Induced Vibration (FIV). The cross section of spacer grid assembled by laser welding in upper and lower point. When the fuel rod inserted in spacer gird, spring and dimple and around of welded area got a stresses. The main hypothesis of this analysis is the boundary area of HAZ and base metal can get a lot of damage than other area by FIV. So, design factors of spacer grid mainly considered to preventing the fatigue failure in HAZ and spring and dimple of spacer grid. From previous researching, the environment in reactor verified. Pressure and temperature of light water observed 15MPa and 320 .deg. C, and vibration of the fuel rod observed within 0 {approx} 50Hz. In this study, mechanical properties of zirconium alloy that extracted from the test and the spacer grid model which used in the PWR were applied in stress analyzing. General-purpose finite element analysis program was used ANSYS Workbench 12.0.1 version. 3-D CAD program CATIA was used to create spacer grid model

  20. 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.

  1. 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.

  2. Community Violence Exposure and Callous-Unemotional Traits in Adolescents: Testing Parental Support as a Promotive Versus Protective Factor.

    Science.gov (United States)

    Davis, Tess; Ammons, Chrissy; Dahl, Alexandra; Kliewer, Wendy

    2015-04-01

    Although callous-unemotional (CU) traits are associated with maladjustment in youth, literature predicting CU using prospective designs is rare. In the present study we examine associations between exposure to community violence, supportive relationships with caregivers, and CU in a sample of 236 low-income youth (M age = 13.00 yrs, SD = 1.56 yrs; 43% male; 92% African American) participating in a 3-wave longitudinal study of violence exposure and adjustment. Both promotive and protective models of linkages between exposure to community violence, support, and CU were investigated. Given known sex differences in CU, sex was explored as a moderator. Regression analysis revealed that witnessing and hearing about community violence, aggregated over 2 waves, were positively associated with CU at the final study wave. Supportive relationships with caregivers, aggregated over 2 waves, were negatively associated with CU but did not interact with violence exposure, suggesting that supportive relationships with caregivers has a promotive but not a protective association with CU in the context of exposure to violence. The pattern of associations did not vary by sex. This study informs our understanding of factors that contribute to the development of CU.

  3. Post Traumatic Stress Disorder/PTSD in adolescent victims of sexual abuse: resilience and social support as protection factors

    Directory of Open Access Journals (Sweden)

    Martine Hébert

    2014-03-01

    Full Text Available This analysis examined the contribution of personal, family (maternal and paternal support; sibling support and extra-familiar (peer support; other adults resilience to the prediction of clinical levels of PTSD symptoms in adolescents reporting sexual abuse. Controls were established for abuse-related variables (type of abuse, severity and multiple abuse in a representative sample of high schools students in the province of Quebec. A total of 15.2% of adolescent females and 4.4% adolescent males in high school reported a history of sexual abuse in childhood. Sexually abused adolescent females (27.8% were more likely than adolescent males (14.9% to achieve scores with high clinical levels of PTSD. Hierarchical logistic regression revealed that over and above the characteristics of the sexual abuse experienced, resilience factors (maternal and peer support contributed to the prediction of symptoms of PTSD attaining the clinical threshold. Alternative intervention and prevention practices geared to adolescent victims of sexual assault are discussed.

  4. 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

  5. Piping benchmark problems. Volume 1. Dynamic analysis uniform support motion response spectrum method

    Energy Technology Data Exchange (ETDEWEB)

    Bezler, P.; Hartzman, M.; Reich, M.

    1980-08-01

    A set of benchmark problems and solutions have been developed for verifying the adequacy of computer programs used for dynamic analysis and design of nuclear piping systems by the Response Spectrum Method. The problems range from simple to complex configurations which are assumed to experience linear elastic behavior. The dynamic loading is represented by uniform support motion, assumed to be induced by seismic excitation in three spatial directions. The solutions consist of frequencies, participation factors, nodal displacement components and internal force and moment components. Solutions to associated anchor point motion static problems are not included.

  6. Numerical analysis of pile lateral behavior of pile supported embankment

    Institute of Scientific and Technical Information of China (English)

    荆志东; 刘力; 郑刚; 姜岩

    2008-01-01

    A finite difference numerical method was adopted to evaluate the pile lateral behavior of pile supported embankment. A published case history was used to verify the proposed methodology. By simulating the case history, the determination of parameters needed were verified. Then three embankments constructed on different ground conditions with different soil-pile relative stiffnesses were analyzed to study pile lateral behaviors including pile deflection and bending moment. The results show that pile deflections and bending moments induced by soil lateral deformation and embankment vertical load are different for piles at different positions under the same embankment. The relative stiffness between pile and soil affected by the properties of different reinforcing piles such as concrete pile and deep mixing method pile exert important effects on the pile lateral behavior and the pile’s failure modes. Consequently, it is necessary to consider the different piles lateral behaviors and possible failure modes at different positions and the different piles proprieties with different reinforcing methods in the embankment stability analysis.

  7. Quantitative XPS analysis of silica-supported Cu Co oxides

    Science.gov (United States)

    Cesar, Deborah V.; Peréz, Carlos A.; Schmal, Martin; Salim, Vera Maria M.

    2000-04-01

    Copper-cobalt oxides with Cu/Co=5:5, 15:15 and 35:35 bulk ratio have been prepared by deposition-precipitation method at constant pH from copper and cobalt nitrate solutions. Different oxides were obtained by decomposition of the precursors at 673 K for 7 h in air and analyzed by X-ray diffraction (XRD), transmission electron microscopy (TEM) and X-ray photoelectron spectroscopy (XPS). XRD data showed the formation of different oxide phases; for the bulk atomic ratio of 15Cu:15Co, a phase containing Cu and Co with spinel-like structure was observed, while the other bimetallic oxides presented CuO and Co 3O 4 as distinct phases. The XPS qualitative analysis has shown that all samples exhibited Cu 2+ and Co 3+ species at the surface. The Cu-Co spinel presented a displacement in Cu 2p binding energy value. A mathematical model was proposed from relative intensity ratios, which allowed the determination of the oxide particle thickness and the fraction of coverage at the support. This model described accurately the system and showed that cobalt improved the copper dispersion.

  8. 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.

  9. 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.

  10. 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)

  11. The Role of Personal Attributes and Social Support Factors on Passive Behaviour in Classroom among Secondary School Students: A Prospective Study

    Science.gov (United States)

    Murberg, Terje A.

    2010-01-01

    The present study prospectively explored the effects of personal attributes (self-esteem and introversion) and social support factors on passive behaviour in the classroom in a sample of 259 (132 females, 127 males) students in two secondary schools. In the longitudinal multivariate analysis, the student's perceived passive behaviour in the…

  12. 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. )

  13. Support for victims of crime: Analysis of the VDS info and victim support service in 2010

    Directory of Open Access Journals (Sweden)

    Ćopić Sanja

    2011-01-01

    Full Text Available VDS info and victim support service is a victim support service, which was established in 2003 within the Victimology Society of Serbia. The service provides emotional support, information and, if necessary, referral to other relevant services, as well as witness support. The target group of the service are direct and indirect victims of all forms of crime, of both sexes, regardless of any personal characteristics. In addition, support is provided to victims in court, as well as to women victims of violence who are in prison. In most cases victim support is provided by volunteers who are trained to work with victims of crime. This paper analyzes the work of the service in 2010. Special attention is paid to the problems of workplace violence and domestic violence, which are the most common reasons for contacting the service. The aim of the paper is to present the work of the service in the past year, as well as to highlight the trends observed in comparison to the previous period.

  14. Suitability of virtual prototypes to support human factors/ergonomics evaluation during the design.

    Science.gov (United States)

    Aromaa, Susanna; Väänänen, Kaisa

    2016-09-01

    In recent years, the use of virtual prototyping has increased in product development processes, especially in the assessment of complex systems targeted at end-users. The purpose of this study was to evaluate the suitability of virtual prototyping to support human factors/ergonomics evaluation (HFE) during the design phase. Two different virtual prototypes were used: augmented reality (AR) and virtual environment (VE) prototypes of a maintenance platform of a rock crushing machine. Nineteen designers and other stakeholders were asked to assess the suitability of the prototype for HFE evaluation. Results indicate that the system model characteristics and user interface affect the experienced suitability. The VE system was valued as being more suitable to support the assessment of visibility, reach, and the use of tools than the AR system. The findings of this study can be used as a guidance for the implementing virtual prototypes in the product development process.

  15. 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.

  16. Factors associated with breastfeeding cessation in nursing mothers in a peer support programme in Eastern Lancashire

    Directory of Open Access Journals (Sweden)

    Verma Arpana

    2010-01-01

    Full Text Available Abstract Background The UK has one of the lowest breastfeeding rates worldwide and in recent years the Government has made breastfeeding promotion one of its priorities. The UNICEF UK Baby Friendly Initiative is likely to increase breastfeeding initiation but not duration. Other strategies which involve provision of support for breastfeeding mothers in the early weeks after birth are therefore required to encourage UK mothers to breastfeed for the recommended duration. This paper examines the effects of maternal socio-demographic factors, maternal obstetric factors, and in-hospital infant feeding practices on breastfeeding cessation in a peer support setting. Methods Data on mothers from Blackburn with Darwen (BwD and Hyndburn in Eastern Lancashire who gave birth at the Royal Blackburn Hospital and initiated breastfeeding while in hospital were linked to the Index of Multiple Deprivation (IMD. The data were analysed to describe infant feeding methods up to 6 months and the association between breastfeeding cessation, and maternal factors and in-hospital infant feeding practices. Results The mean breastfeeding duration was 21.6 weeks (95% CI 20.86 to 22.37 weeks and the median duration was 27 weeks (95% CI 25.6 to 28.30 weeks. White mothers were 69% more likely to stop breastfeeding compared with non-White mothers (HR: 0.59; 95% CI, 0.52 to 0.67 [White mothers were the reference group]. Breastfeeding cessation was also independently associated with parity and infant feeding practices in hospital. There were no significant associations between breastfeeding cessation and marital status, mode of delivery, timing of breastfeeding initiation and socio-economic deprivation. Conclusion In this study ethnicity, parity and in-hospital infant feeding practices remained independent predictors of breastfeeding cessation in this peer support setting. However other recognised predictors such as marital status, mode of delivery, timing of breastfeeding

  17. 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...

  18. 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.

  19. 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

  20. Quantitative ultrasound texture analysis for clinical decision making support

    Science.gov (United States)

    Wu, Jie Ying; Beland, Michael; Konrad, Joseph; Tuomi, Adam; Glidden, David; Grand, David; Merck, Derek

    2015-03-01

    We propose a general ultrasound (US) texture-analysis and machine-learning framework for detecting the presence of disease that is suitable for clinical application across clinicians, disease types, devices, and operators. Its stages are image selection, image filtering, ROI selection, feature parameterization, and classification. Each stage is modular and can be replaced with alternate methods. Thus, this framework is adaptable to a wide range of tasks. Our two preliminary clinical targets are hepatic steatosis and adenomyosis diagnosis. For steatosis, we collected US images from 288 patients and their pathology-determined values of steatosis (%) from biopsies. Two radiologists independently reviewed all images and identified the region of interest (ROI) most representative of the hepatic echotexture for each patient. To parameterize the images into comparable quantities, we filter the US images at multiple scales for various texture responses. For each response, we collect a histogram of pixel features within the ROI, and parameterize it as a Gaussian function using its mean, standard deviation, kurtosis, and skew to create a 36-feature vector. Our algorithm uses a support vector machine (SVM) for classification. Using a threshold of 10%, we achieved 72.81% overall accuracy, 76.18% sensitivity, and 65.96% specificity in identifying steatosis with leave-ten-out cross-validation (p<0.0001). Extending this framework to adenomyosis, we identified 38 patients with MR-confirmed findings of adenomyosis and previous US studies and 50 controls. A single rater picked the best US-image and ROI for each case. Using the same processing pipeline, we obtained 76.14% accuracy, 86.00% sensitivity, and 63.16% specificity with leave-one-out cross-validation (p<0.0001).

  1. Factors affecting elementary principals' and teachers' decisions to support outdoor field trips

    Science.gov (United States)

    Kaspar, Michael Joseph

    Outdoor field trips are recommended in science education reform, yet they are not frequently taken. Barriers may prevent elementary public school teachers from participating in outdoor field trips (Mirka, 1973; Falk & Balling, 1979; Ham, 1988; Orion, 1993). To determine what would increase students' attendance at a nature preserve, factors that may affect elementary private and public school principals' and teachers' decisions to support field trips were identified and compared. Private school principals supported field trips. They believed field trips were safe, and easy to arrange, and that the field trips helped students experience culture in the community. Experienced public school principals who were supportive and believed field trips should be required believed field trips fit into the teacher's lesson plan and were taken for enrichment. Public school principals who were less experienced with field trips believed field trips should be extracurricular. They believed that field trips served as a reward, and that they needed more information. They did not support field trips. Private school teachers believed that field trips did not have overly demanding administrative concerns. They believed field trips were safe, easy to arrange, and were supported by their administrator. Public school teachers who supported field trips and believed field trips should be required were white, female, experienced, and older. They believed that field trips were safe, easy to arrange, enjoyable, and that they had enough help to conduct trips. Public school teachers who may not support trips had administrative concerns, and they did not believe field trips met the needs of students. These were male, white or non-white, young or middle-aged, and less experienced. They may believe field trips are a waste of time and money. They believed they had a nonsupportive administrator. Money for transportation was a barrier for older public school teachers and principals. No improvement on

  2. Networking between occupational health services, client enterprises and other experts: difficulties, supporting factors and benefits.

    Science.gov (United States)

    Peltomäki, Päivi; Husman, Kaj

    2002-01-01

    This study explores difficulties, supporting factors and benefits of networking to studied enterprises and other network partners (focus on OHS and client enterprises). The study also explores social capital as a resource produced in network relations, and trust as a core dimension of social capital, and trust as a binding element in networking. The study is a mixed methods research (both qualitative and quantitative research materials). The most important supporting factors were: committed and active focus person, teamwork skills, long relationships, familiarity, trust and two-way communication in co-operation, shared goals, norms and values, an equal cost and benefit ratio, and the high quality of services. The biggest problems were the lack of skills to operate in the network and difficulties in maintaining the network, weak communication, lack of confidence, inconvenient size or composition of the network, overlapping information, cliques, nodes and missing links. The benefits were versatile: knowledge and skills accumulate, the network multiplies resources, fluency of co-operation, innovations, commitment and trust increase, good practices expand, and moreover, the quality, many-sidedness and appropriateness of operations improve. Networking is beneficial but demanding. There are many limitations. Networks are not equal for every network partner (inequality in cost and benefit ratio). Networks produce social capital for participants. Successful networking requires trust relations between network partners.

  3. Probabilistic Calibration of Fatigue Design Factors for Offshore Wind Turbine Support Structures

    DEFF Research Database (Denmark)

    Ramirez, José Rangel; Sørensen, John Dalsgaard

    2010-01-01

    This paper describes a reliability-based approach to determine fatigue design factors (FDF) for offshore wind turbine support structures made of steel. The FDF values are calibrated to a specific reliability level and linked to a specific inspection and maintenance (I&M) strategy used for the con......This paper describes a reliability-based approach to determine fatigue design factors (FDF) for offshore wind turbine support structures made of steel. The FDF values are calibrated to a specific reliability level and linked to a specific inspection and maintenance (I&M) strategy used...... for the considered offshore wind turbines in such a way that the specific uncertainties for the fatigue life are accounted in a rational manner. Similar approaches have been used for offshore oil & gas sub-structures, but the required reliability level for offshore wind turbines is generally lower and the fatigue...... if inspections are planned during the design life, and thereby the basis is available for selecting a cost-effective fatigue design. Further, the results can be used as basis for recommendations in standardization....

  4. Confirmatory Factor Analysis of the Conformity to Feminine Norms Inventory and Development of an Abbreviated Version: The CFNI-45

    Science.gov (United States)

    Parent, Mike C.; Moradi, Bonnie

    2010-01-01

    The present study undertakes the first factor analysis of the Conformity to Feminine Norms Inventory (CFNI) conducted since the instrument's development. Confirmatory factor analysis using data from 243 women offered mixed support for the original 84-item CFNI structure and pointed to ways to modify the structure and reduce the length of the…

  5. The Construct Validity of Scores on the Ways of Coping Questionnaire: Confirmatory Analysis of Alternative Factor Structures.

    Science.gov (United States)

    Edwards, Jeffrey R.; O'Neill, Regina M.

    1998-01-01

    Confirmatory factor analysis was used to evaluate alternative factor structures, based on previous exploratory factor analyses and coping dimensions derived from the theory of R. Lazarus, for the Ways of Coping Questionnaire (S. Folkman and R. Lazarus, 1988). Results from responses of 654 college graduates provide little support for the factor…

  6. The potential for meta-analysis to support decision analysis in ecology.

    Science.gov (United States)

    Mengersen, Kerrie; MacNeil, M Aaron; Caley, M Julian

    2015-06-01

    Meta-analysis and decision analysis are underpinned by well-developed methods that are commonly applied to a variety of problems and disciplines. While these two fields have been closely linked in some disciplines such as medicine, comparatively little attention has been paid to the potential benefits of linking them in ecology, despite reasonable expectations that benefits would be derived from doing so. Meta-analysis combines information from multiple studies to provide more accurate parameter estimates and to reduce the uncertainty surrounding them. Decision analysis involves selecting among alternative choices using statistical information that helps to shed light on the uncertainties involved. By linking meta-analysis to decision analysis, improved decisions can be made, with quantification of the costs and benefits of alternate decisions supported by a greater density of information. Here, we briefly review concepts of both meta-analysis and decision analysis, illustrating the natural linkage between them and the benefits from explicitly linking one to the other. We discuss some examples in which this linkage has been exploited in the medical arena and how improvements in precision and reduction of structural uncertainty inherent in a meta-analysis can provide substantive improvements to decision analysis outcomes by reducing uncertainty in expected loss and maximising information from across studies. We then argue that these significant benefits could be translated to ecology, in particular to the problem of making optimal ecological decisions in the face of uncertainty. Copyright © 2013 John Wiley & Sons, Ltd.

  7. A Qualitative Study of a Maintenance Support Program for Women at Risk of Homelessness: Part 2: Situational Factors.

    Science.gov (United States)

    McMaster, Rose; Lopez, Violeta; Kornhaber, Rachel; Cleary, Michelle

    2017-06-01

    People who are homeless tend to have a number of complex needs. A housing maintenance support program (MSP) for women from the perspectives of clients, case managers and health professionals within the program was explored in this qualitative descriptive study. Interviews were conducted, and data were analysed using thematic analysis. The overarching theme that emerged from the data was "A life-changing event: I have the power to change." This theme was supported by three sub-themes: personal, situational and societal dimensions. In this article, the sub-theme - situational factors, is presented and refers to poverty, resources and services, as well as social support systems. These aspects all impinged on the client's ability to face life changes with optimism towards a better future. Their experiences of disconnection with the community changed for the clients after being part of the MSP. The MSP enabled the clients to feel part of society again, and empowered them to participate in the world around them. Key aspects of inclusion in the world are relationships based on acceptance, connecting with others, being involved and creating a sense of home/community.

  8. [Features of occupational health nurse support for the improvement of psychosocial working environments and related factors: Focusing on required knowledge and skills, and measures to develop them].

    Science.gov (United States)

    Saito, Tomoko; Nishikido, Noriko; Matsuki, Hideaki

    2015-01-01

    The purpose of this study was to examine the support activities provided for occupational health nurses aimed at improving psychosocial working environments, related knowledge and skills, and learning environments as well as associations among these factors. In addition, we aimed to create correlated factor models to describe the support activities in order to identify ways to promote these activities among occupational health nurses. An anonymous mail-based questionnaire survey was conducted of occupational health nurses who were members of the Japan Society for Occupational Health and belonged to enterprises or independent health insurance societies. Among 356 returned questionnaires (response rate: 46.4%), all the main items were answered in 329 (valid response rate: 92.4%), and these questionnaires were analyzed. Factor analysis was performed for the seven items pertaining to support activities for the improvement of psychosocial working environments and models of each factor of the support activities were developed using covariance structure analysis. In the factor analysis, [Clarifying a stress-related situation and providing advice] and [Facilitating workplace involvement] were identified as support-related factors. The mean implementation rates for these approaches were approximately 50 to 80%, and less than 40%, respectively. [Clarifying a stress-related situation and providing advice] was associated with skills of "providing superiors with explanations to enhance their understanding" and "collecting and analyzing stress survey results by department", and knowledge of "personal stress questionnaires" and "common stress factors in working environments". The above-mentioned knowledge and skills were associated with self-learning of "examining and reporting daily activities for the improvement of working environments" and "reviewing related papers". [Facilitating workplace involvement] was associated with skills of "indirectly supporting discussions led by

  9. 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.

  10. A HUMAN FACTORS ENGINEERING PROCESS TO SUPPORT HUMAN-SYSTEM INTERFACE DESIGN IN CONTROL ROOM MODERNIZATION

    Energy Technology Data Exchange (ETDEWEB)

    Kovesdi, C.; Joe, J.; Boring, R.

    2017-05-01

    The primary objective of the United States (U.S.) Department of Energy (DOE) Light Water Reactor Sustainability (LWRS) program is to sustain operation of the existing commercial nuclear power plants (NPPs) through a multi-pathway approach in conducting research and development (R&D). The Advanced Instrumentation, Information, and Control (II&C) System Technologies pathway conducts targeted R&D to address aging and reliability concerns with legacy instrumentation and control (I&C) and other information systems in existing U.S. NPPs. Control room modernization is an important part following this pathway, and human factors experts at Idaho National Laboratory (INL) have been involved in conducting R&D to support migration of new digital main control room (MCR) technologies from legacy analog and legacy digital I&C. This paper describes a human factors engineering (HFE) process that supports human-system interface (HSI) design in MCR modernization activities, particularly with migration of old digital to new digital I&C. The process described in this work is an expansion from the LWRS Report INL/EXT-16-38576, and is a requirements-driven approach that aligns with NUREG-0711 requirements. The work described builds upon the existing literature by adding more detail around key tasks and decisions to make when transitioning from HSI Design into Verification and Validation (V&V). The overall objective of this process is to inform HSI design and elicit specific, measurable, and achievable human factors criteria for new digital technologies. Upon following this process, utilities should have greater confidence with transitioning from HSI design into V&V.

  11. Factors influencing first childbearing timing decisions among men: Path analysis

    Science.gov (United States)

    Kariman, Nourossadat; Amerian, Maliheh; Jannati, Padideh; Salmani, Fatemeh

    2016-01-01

    Background: Factors that influence men’s childbearing intentions have been relatively unexplored in the literature. Objective: This study aimed to determine the influencing factors about the first childbearing timing decisions of men. Materials and Methods: In this cross-sectional study, 300 men who were referred to private and governmental healthcare centers in Shahrood, Iran were randomly recruited from April to September 2014. Data were collected using a demographic questionnaire, the Quality of Life Questionnaire; ENRICH Marital Satisfaction Questionnaire, Synder’s Hope Scale, and the Multidimensional Scale of Perceived Social Support. Results: After removing the statistically insignificant paths, men’s age at marriage had the highest direct effect (β=0.86) on their first childbearing decision. Marital satisfaction (β=-0.09), social support (β=0.06), economic status (β=0.06), and quality of life (β=-0.08) were other effective factors on men’s first childbearing decisions. Moreover, marital satisfaction and social support had significant indirect effects on men’s childbearing decisions (β=-0.04 and -0.01, respectively). Conclusion: Many factors, including personal factors (age at marriage and quality of life), family factors (marital satisfaction), and social factors (social support), can affect men’s decision to have a child. Policymakers are hence required to develop strategies to promote the socioeconomic and family conditions of the couples and to encourage them to have as many children as they desire at an appropriate time. PMID:27738661

  12. 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

  13. 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…

  14. 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…

  15. 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…

  16. 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…

  17. 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.)

  18. Clinical decision support tools: analysis of online drug information databases

    OpenAIRE

    Seamon Matthew J; Polen Hyla H; Marsh Wallace A; Clauson Kevin A; Ortiz Blanca I

    2007-01-01

    Abstract Background Online drug information databases are used to assist in enhancing clinical decision support. However, the choice of which online database to consult, purchase or subscribe to is likely made based on subjective elements such as history of use, familiarity, or availability during professional training. The purpose of this study was to evaluate clinical decision support tools for drug information by systematically comparing the most commonly used online drug information datab...

  19. Systems genomics analysis centered on epigenetic inheritance supports development of a unified theory of biology.

    Science.gov (United States)

    Sharma, Abhay

    2015-11-01

    New discoveries are increasingly demanding integration of epigenetics, molecular biology, genomic networks and physiology with evolution. This article provides a proof of concept for evolutionary transgenerational systems biology, proposed recently in the context of epigenetic inheritance in mammals. Gene set enrichment analysis of available genome-level mammalian data presented here seem consistent with the concept that: (1) heritable information about environmental effects in somatic cells is communicated to the germline by circulating microRNAs (miRNAs) or other RNAs released in physiological fluids; (2) epigenetic factors including miRNA-like small RNAs, DNA methylation and histone modifications are propagated across generations via gene networks; and (3) inherited epigenetic variations in the form of methylated cytosines are fixed in the population as thymines over the evolutionary time course. The analysis supports integration of physiology and epigenetics with inheritance and evolution. This may catalyze efforts to develop a unified theory of biology.

  20. Consumers' Views Regarding Health Claims on Food Packages. Contextual Analysis by Means of Computer Support

    Directory of Open Access Journals (Sweden)

    Eva Gunilla Svederberg

    2002-01-01

    Full Text Available Several studies have shown consumers to generally have only a limited understanding of the nutritional information on packaged-food labels. This suggests it is difficult for them to select properly between different foods on the basis of such information. As a basis for information on the requirements of groups of consumers, the present study aimed at investigating how, when presented with health claims and other nutritional information on the labels of food products, consumers' thinking about foods is affected by various background factors as well as by various types of food-related experiences. Semi-structured interviews of 30 consumers in Sweden—men and women aged 25 to 64, with and without food-related health problems—were carried out. The interviews were tape-recorded and were transcribed word-for-word. In the analysis of the interview data, the qualitative methodology of contextual analysis was utilised. For the purpose of method development, the computer programme Atlas.ti was used to support the analysis. The objective of this article is to show step by step how the analysis was carried out. In connection with the analysis, some results are presented. However, the focus in the article is on methodology. The conclusion drawn is that Atlas.ti has qualities that can facilitate the contextual analysis of the interview data. URN: urn:nbn:de:0114-fqs0201109

  1. 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.

  2. 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.

  3. Computer-Supported Collaborative Inquiry on Buoyancy: A Discourse Analysis Supporting the "Pieces" Position on Conceptual Change

    Science.gov (United States)

    Turcotte, Sandrine

    2012-01-01

    This article describes in detail a conversation analysis of conceptual change in a computer-supported collaborative learning environment. Conceptual change is an essential learning process in science education that has yet to be fully understood. While many models and theories have been developed over the last three decades, empirical data to…

  4. Factors determining social (interpersonal support in patients with vertebro-spinal cord injury

    Directory of Open Access Journals (Sweden)

    I. D. Boulyubash

    2016-01-01

    Full Text Available Objective: to study relationships between the specific features of the social network of patients with vertebro-spinal cord injury sequels (VSIS, subjectively perceived and actual social support, and social skills assessment by the patients.Patients and methods. In 2014–2015, a psychodiagnostic study was conducted in 41 VSIS patients (32 men and 9 women, including 18- to 20-year-olds (n=5, 21- to 30-year-olds (n=18, 31- to 40-year-olds (n=9, 41- to 50-year-olds (n=4, and patients over 50 years of age (n=5. Paraplegia (paraparesis and tetraplegia (tetraparesis were present in 30 and 11 patients, respectively. The duration of VSIS was 1 to 125 months. Correlations between different types of subjectively perceived and actual social support and the parameters of a social network of the patients were assessed.Results. Correlation analysis has showed that there is a need for psychotherapeutic interventions related to social network extension for patients so that the latter should have sufficient and persistent interpersonal support.

  5. GIS-supported epidemiological analysis on canine Angiostrongylus vasorum and Crenosoma vulpis infections in Germany.

    Science.gov (United States)

    Maksimov, Pavlo; Hermosilla, Carlos; Taubert, Anja; Staubach, Christoph; Sauter-Louis, Carola; Conraths, Franz J; Vrhovec, Majda Globokar; Pantchev, Nikola

    2017-02-28

    Angiostrongylus vasorum infections are the cause of severe cardiopulmonary diseases in dogs. In the past, canine angiostrongylosis has largely been neglected in Europe, although some recent studies indicated an expansion of historically known endemic areas, a phenomenon that might also apply to Crenosoma vulpis. The aim of the present study was to analyse temporal and spatial trends of canine A. vasorum and C. vulpis infections and to perform GIS-supported risk factor analysis to evaluate the role of landscape, age and seasonality in the life-cycle of these nematodes. A total of 12,682 faecal samples from German dogs (collected in 2003-2015) with clinical suspicion for lungworm infection were examined for the presence of A. vasorum and C. vulpis larvae by the Baermann funnel technique and respective epidemiological data (location and age of the sampled dogs, date of sampling) were subjected to GIS-supported risk factor analysis. Overall, A. vasorum and C. vulpis larvae were detected in 288 (2.3%) and 285 (2.2%) faecal samples, respectively. In general, both lungworm infections were found to be widely spread in Germany. GIS-supported analyses demonstrate spatial differences in the occurrence of canine A. vasorum and C. vulpis infections in Germany. also, risk factor analyses revealed an overlap but also diverging risk and protective factors for A. vasorum and C. vulpis infections. The current data also indicate a significant increase of A. vasorum and C. vulpis prevalences from 2003 to 2015 and from 2008 until 2015, respectively, and a potential spread of A. vasorum endemic areas to the northeastern part of Germany. The results of the present study show an insight into the epidemiological situation of lungworm infections (A. vasorum and C. vulpis) of the past 13 years in Germany. The data clearly demonstrate an increase of diagnosed A. vasorum prevalence in the tested dog population between 2003 and 2015 as well as spatial differences in the occurrence of diagnosed

  6. 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.

  7. 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...

  8. A confirmatory factor analysis of the Self-Directed Learning Readiness Scale.

    Science.gov (United States)

    Williams, Brett; Brown, Ted

    2013-12-01

    The Self-Directed Learning Readiness Scale measures readiness for self-directed learning among undergraduate healthcare students. While several exploratory factor analyses and one confirmatory factor analysis have examined the psychometric properties of the Self-Directed Learning Readiness Scale, questions have been raised regarding the underlying latent constructs being measured. The objective of this study was to determine the best-fitting Self-Directed Learning Readiness Scale factorial structure among three models published in the literature. Data from the three-factor 40-item Self-Directed Learning Readiness Scale completed by 233 undergraduate paramedic students from four Australian universities (response rate of 26%) were analyzed using maximum likelihood confirmatory factor analysis. Comparison of model fit from the 40-item version was undertaken with the previously documented four-factor 36-item and three-factor 29-item Self-Directed Learning Readiness Scales. The model fit indices of the three one-factor congeneric models with maximum likelihood analysis demonstrate that the 40-item Self-Directed Learning Readiness Scale does not fit the data well. The best fitting model was the four-factor 36-item Self-Directed Learning Readiness Scale followed by the three-factor 29-item models. The confirmatory factor analysis results did not support the overall construct validity of the original 40-item Self-Directed Learning Readiness Scale. © 2013 Wiley Publishing Asia Pty Ltd.

  9. The relationship between postnatal depression, sociodemographic factors, levels of partner support, and levels of physical activity

    Directory of Open Access Journals (Sweden)

    Maryam eSaligeh

    2014-07-01

    Full Text Available Background: postnatal depression (PND is defined as a psychological mood disorder that occurs in a mother within six weeks of her giving birth. It refers to an episode that causes mood disturbance and it could begin in, or extend into, the postpartum period. It is thought to have a high impact upon the mother’s health as well as the family’s functioning and the child’s development. Socio-demographic, psych-social, and physical activity factors may all contribute to postpartum mood and ability to cope with responsibilities. The primary aim of this study was to determine which of these factors predicted PND in postpartum women. A secondary aim was to identify the socio-demographic and psycho-social predictors of physical activity in postpartum women . Methods: The study used a cross-sectional correlational design. A sample of 150 postpartum women was sent a package of six standardised questionnaires. Results: There was no association between physical activity and PND; however, older mothers, mothers of younger children, mothers who are less reluctant to ask for help, and mothers who are more satisfied with the help they get experience lower levels of PND. Mothers of older babies, mothers with more children, and less educated mothers are more likely to engage in caregiving activities, whereas mothers with fewer children and higher levels of partner support are more likely to engage in occupational activities. None of the socio-demographic factors or any of the parenting factors predicted levels of sporting activity.

  10. 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.

  11. Recoverability analysis for modified compressive sensing with partially known support.

    Directory of Open Access Journals (Sweden)

    Jun Zhang

    Full Text Available The recently proposed modified-compressive sensing (modified-CS, which utilizes the partially known support as prior knowledge, significantly improves the performance of recovering sparse signals. However, modified-CS depends heavily on the reliability of the known support. An important problem, which must be studied further, is the recoverability of modified-CS when the known support contains a number of errors. In this letter, we analyze the recoverability of modified-CS in a stochastic framework. A sufficient and necessary condition is established for exact recovery of a sparse signal. Utilizing this condition, the recovery probability that reflects the recoverability of modified-CS can be computed explicitly for a sparse signal with [Formula: see text] nonzero entries. Simulation experiments have been carried out to validate our theoretical results.

  12. BUDGET TRANSPARENCY - SUPPORTING FACTOR IN THE CAUSAL RELATIONSHIP BETWEEN GLOBAL COMPETITIVENESS AND CONTROL OF CORRUPTION

    Directory of Open Access Journals (Sweden)

    Violeta Maria CIMPOERU

    2015-08-01

    Full Text Available In the last two decades, international institutions, donors, academics are interested in budgetary transparency that promotes public access to information about budgets, government policies and financial activities of governments in order to make them accessible to citizens. Social reformers promote the idea that a high score of open budget index is the main incentive to influence policymakers to adopt policies to reliably optimize public finances. The purpose of this paper is to analyze the influence of corruption at the level of sustainable prosperity, having as support factor the budgetary transparency. We also investigate the reasoning in reverse, where, in turn, corruption is influenced by the level of sustainable prosperity and we discover that the relationship between these two variables is circular. Evaluation of the results could serve as guidance for governments to investigate the effects of the adopted strategies for sustainable development and improving governance policies at national level through direct contribution to economic growth.

  13. Using Heuristics for Supportability Analysis of Adaptive Weapon Systems in Combat

    Science.gov (United States)

    2017-01-01

    Defense ARJ, January 2017, Vol. 24 No. 1 : 30–41 Using Heuristics for Supportability Analysis http://www.dau.mil In a limited data situation , a decision...USING HEURISTICS for Supportability Analysis of Adaptive Weapon Systems in Combat Samuel H. Amber The new U.S. Army vision contends that heuristics...Image designed by Diane Fleischer 32 Defense ARJ, January 2017, Vol. 24 No. 1 : 30–41 Using Heuristics for Supportability Analysis http

  14. Organizational analysis of three community support program models.

    Science.gov (United States)

    Reinke, B; Greenley, J R

    1986-06-01

    Little attention has been paid to the organizational and administrative characteristics of effective community support programs for the chronic mentally ill. The authors analyzed three successful support programs in Wisconsin that employ three different models of service delivery: one provides services through caseworkers who carry specialized caseloads, another through local nonprofessionals who work with a centrally located program coordinator, and the third through a team of various mental health workers. Each program has tailored its organizational process to suit the types of clients it sees, the size of its catchment area, and the availability of other professional resources. The interrelated strengths and weaknesses of each model are discussed.

  15. 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...

  16. 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...

  17. Socio-demographic factors and self-reported funtional status: the significance of social support

    Directory of Open Access Journals (Sweden)

    Vlachonikolis IG

    2002-10-01

    Full Text Available Abstract Background The aim of the present work was to investigate the relative importance of socio-demographic and physical health status factors for subjective functioning, as well as to examine the role of social support. Methods A cross-sectional health survey was carried out in a Greek municipality. 1356 adults of the general population were included in the study. Personal interviews were conducted with house-to-house visits. The response rate was 91.2%. Functioning has been measured by five indexes: 'The Social Roles and Mobility' scale (SORM, 'The Self-Care Restrictions' scale (SCR, 'The Serious Limitations' scale (SL, 'The Minor Self-care Limitations' scale (MSCR and 'The Minor Limitations in Social Roles and Mobility' scale (MSORM. Results Among the two sets of independent variables, the socio-demographic ones had significant influence on the functional status, except for MSORM. Allowing for these variables, the physical health status indicators had also significant effects on all functioning scales. Living arrangements and marital status had significant effects on four out of five indexes, while arthritis, Parkinson's disease, past stroke and kidney stones had significant effects on the SCR and SL scales. Conclusions These results suggest that socio-demographic factors are as important as physical health variables in affecting a person's ability to function normally in their everyday life. Social support appears to play a significant role in explaining differences in subjective functioning: people living alone or only with the spouse, particularly the elderly, seem to be in greater risk for disability problems and should be targeted by preventive programs in the community.

  18. Factor XIII Transglutaminase Supports the Resolution of Mucosal Damage in Experimental Colitis.

    Directory of Open Access Journals (Sweden)

    Christina Andersson

    Full Text Available The thrombin-activated transglutaminase factor XIII (FXIII that covalently crosslinks and stablizes provisional fibrin matrices is also thought to support endothelial and epithelial barrier function and to control inflammatory processes. Here, gene-targeted mice lacking the FXIII catalytic A subunit were employed to directly test the hypothesis that FXIII limits colonic pathologies associated with experimental colitis. Wildtype (WT and FXIII-/- mice were found to be comparable in their initial development of mucosal damage following exposure to dextran sulfate sodium (DSS challenge. However, unlike FXIII-sufficient mice, FXIII-deficient cohorts failed to efficiently resolve colonic inflammatory pathologies and mucosal damage following withdrawal of DSS. Consistent with prior evidence of ongoing coagulation factor activation and consumption in individuals with active colitis, plasma FXIII levels were markedly decreased in colitis-challenged WT mice. Treatment of colitis-challenged mice with recombinant human FXIII-A zymogen significantly mitigated weight loss, intestinal bleeding, and diarrhea, regardless of whether cohorts were FXIII-sufficient or were genetically devoid of FXIII. Similarly, both qualitative and quantitative microscopic analyses of colonic tissues revealed that exogenous FXIII improved the resolution of multiple colitis disease parameters in both FXIII-/- and WT mice. The most striking differences were seen in the resolution of mucosal ulceration, the most severe histopathological manifestation of DSS-induced colitis. These findings directly demonstrate that FXIII is a significant determinant of mucosal healing and clinical outcome following inflammatory colitis induced mucosal injury and provide a proof-of-principle that clinical interventions supporting FXIII activity may be a means to limit colitis pathology and improve resolution of mucosal damage.

  19. Factor XIII Transglutaminase Supports the Resolution of Mucosal Damage in Experimental Colitis

    Science.gov (United States)

    Andersson, Christina; Kvist, Peter H.; McElhinney, Kathryn; Baylis, Richard; Gram, Luise K.; Pelzer, Hermann; Lauritzen, Brian; Holm, Thomas L.; Hogan, Simon; Wu, David; Turpin, Brian; Miller, Whitney; Palumbo, Joseph S.

    2015-01-01

    The thrombin-activated transglutaminase factor XIII (FXIII) that covalently crosslinks and stablizes provisional fibrin matrices is also thought to support endothelial and epithelial barrier function and to control inflammatory processes. Here, gene-targeted mice lacking the FXIII catalytic A subunit were employed to directly test the hypothesis that FXIII limits colonic pathologies associated with experimental colitis. Wildtype (WT) and FXIII-/- mice were found to be comparable in their initial development of mucosal damage following exposure to dextran sulfate sodium (DSS) challenge. However, unlike FXIII-sufficient mice, FXIII-deficient cohorts failed to efficiently resolve colonic inflammatory pathologies and mucosal damage following withdrawal of DSS. Consistent with prior evidence of ongoing coagulation factor activation and consumption in individuals with active colitis, plasma FXIII levels were markedly decreased in colitis-challenged WT mice. Treatment of colitis-challenged mice with recombinant human FXIII-A zymogen significantly mitigated weight loss, intestinal bleeding, and diarrhea, regardless of whether cohorts were FXIII-sufficient or were genetically devoid of FXIII. Similarly, both qualitative and quantitative microscopic analyses of colonic tissues revealed that exogenous FXIII improved the resolution of multiple colitis disease parameters in both FXIII-/- and WT mice. The most striking differences were seen in the resolution of mucosal ulceration, the most severe histopathological manifestation of DSS-induced colitis. These findings directly demonstrate that FXIII is a significant determinant of mucosal healing and clinical outcome following inflammatory colitis induced mucosal injury and provide a proof-of-principle that clinical interventions supporting FXIII activity may be a means to limit colitis pathology and improve resolution of mucosal damage. PMID:26098308

  20. Bridging Human Reliability Analysis and Psychology, Part 2: A Cognitive Framework to Support HRA

    Energy Technology Data Exchange (ETDEWEB)

    April M. Whaley; Stacey M. L. Hendrickson; Ronald L. Boring; Jing Xing

    2012-06-01

    This is the second of two papers that discuss the literature review conducted as part of the U.S. Nuclear Regulatory Commission (NRC) effort to develop a hybrid human reliability analysis (HRA) method in response to Staff Requirements Memorandum (SRM) SRM-M061020. This review was conducted with the goal of strengthening the technical basis within psychology, cognitive science and human factors for the hybrid HRA method being proposed. An overview of the literature review approach and high-level structure is provided in the first paper, whereas this paper presents the results of the review. The psychological literature review encompassed research spanning the entirety of human cognition and performance, and consequently produced an extensive list of psychological processes, mechanisms, and factors that contribute to human performance. To make sense of this large amount of information, the results of the literature review were organized into a cognitive framework that identifies causes of failure of macrocognition in humans, and connects those proximate causes to psychological mechanisms and performance influencing factors (PIFs) that can lead to the failure. This cognitive framework can serve as a tool to inform HRA. Beyond this, however, the cognitive framework has the potential to also support addressing human performance issues identified in Human Factors applications.

  1. Exploring the communication of social support within virtual communities: a content analysis of messages posted to an online HIV/AIDS support group.

    Science.gov (United States)

    Mo, Phoenix K H; Coulson, Neil S

    2008-06-01

    The present study examined the nature of social support exchanged within an online HIV/AIDS support group. Content analysis was conducted with reference to five types of social support (information support, tangible assistance, esteem support, network support, and emotional support) on 85 threads (1,138 messages). Our analysis revealed that many of the messages offered informational and emotional support, followed by esteem support and network support, with tangible assistance the least frequently offered. Results suggest that this online support group is a popular forum through which individuals living with HIV/AIDS can offer social support. Our findings have implications for health care professionals who support individuals living with HIV/AIDS.

  2. Sino-European Cooperation in Flood Analysis Support System

    Institute of Scientific and Technical Information of China (English)

    2004-01-01

    @@ Flaced with imminent floods, what should decision-makers do first: evacuate the population,reinforce or intentionally break dikes? A support decision system developed by an international team of researchers will help them to make appropriate decisions to limit flood damage.

  3. Analysis of I Marine Expeditionary Force Support Team Reset Operations

    Science.gov (United States)

    2013-06-01

    ACKNOWLEDGMENTS The author accepted the common saying by John Donne “no man is an island,” but after this experience these wise words are now fully...of this thesis, thank you for your patience and unyielding support; a very SPECIAL THANK YOU to: Jerry Copley and Kevin DeLuca, Donn VanDeren, 1st

  4. A Framework to Support Requirements Analysis in Engineering Design

    OpenAIRE

    Brace, William; Cheutet, Vincent

    2012-01-01

    International audience; Complex system development activities such as requirements analysis to requirements specification, implementation and verification are well defined in the software engineering domain. Interests in using a model driven engineering have increased in this domain. System level requirements analysis and model driven engineering may result in a significant improvement in engineering design. This paper presents a Checklist Oriented Requirement Analysis (CORA) framework to dev...

  5. 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.

  6. Canonical correlation analysis of professional stress,social support,and professional burnout among low-rank army officers

    Directory of Open Access Journals (Sweden)

    Chuan-yun LI

    2011-12-01

    Full Text Available Objective The present study investigates the influence of professional stress and social support on professional burnout among low-rank army officers.Methods The professional stress,social support,and professional burnout scales among low-rank army officers were used as test tools.Moreover,the officers of established units(battalion,company,and platoon were chosen as test subjects.Out of the 260 scales sent,226 effective scales were received.The descriptive statistic and canonical correlation analysis models were used to analyze the influence of each variable.Results The scores of low-rank army officers in the professional stress,social support,and professional burnout scales were more than average,except on two factors,namely,interpersonal support and de-individualization.The canonical analysis identified three groups of canonical correlation factors,of which two were up to a significant level(P < 0.001.After further eliminating the social support variable,the canonical correlation analysis of professional stress and burnout showed that the canonical correlation coefficients P corresponding to 1 and 2 were 0.62 and 0.36,respectively,and were up to a very significant level(P < 0.001.Conclusion The low-rank army officers experience higher professional stress and burnout levels,showing a lower sense of accomplishment,emotional exhaustion,and more serious depersonalization.However,social support can reduce the onset and seriousness of professional burnout among these officers by lessening pressure factors,such as career development,work features,salary conditions,and other personal factors.

  7. The Influence of Supports Strategies, Environmental Factors, and Client Characteristics on Quality of Life-Related Personal Outcomes

    Science.gov (United States)

    Claes, Claudia; Van Hove, Geert; Vandevelde, Stijn; van Loon, Jos; Schalock, Robert

    2012-01-01

    The concept of quality of life (QOL) is increasingly being used as a support provision and outcomes evaluation framework in the field of intellectual disability (ID). The present study used a hierarchical multiple regression research design to determine the role that available supports strategies, environmental factors, and client characteristics…

  8. The Influence of Supports Strategies, Environmental Factors, and Client Characteristics on Quality of Life-Related Personal Outcomes

    Science.gov (United States)

    Claes, Claudia; Van Hove, Geert; Vandevelde, Stijn; van Loon, Jos; Schalock, Robert

    2012-01-01

    The concept of quality of life (QOL) is increasingly being used as a support provision and outcomes evaluation framework in the field of intellectual disability (ID). The present study used a hierarchical multiple regression research design to determine the role that available supports strategies, environmental factors, and client characteristics…

  9. Modeling Indicator Systems for Evaluating Environmental Sustainable Development Based on Factor Analysis

    Institute of Scientific and Technical Information of China (English)

    WU Hao; CHEN Xiaoling; HE Ying; HE Xiaorong; CAI Xiaobin; XU Keyan

    2006-01-01

    Indicator systems of environmental sustainable development in the Poyang Lake Basin are established from 51 elementary indexes by factor analysis, which is composed of four steps such as the factor model, the parameter estimation, the factor rotation and the factor score. Under the condition that the cumulative proportion is greater than 85%, 5 explicit factors of environmental sustainable development as well as its factor score by region are carried out. The result indicates some impact factors to the basin environmental in descending sort order are volume of water, volume of waste gas discharge, volume of solid wastes, the degree to comprehensive utilization of waste gas, waste water and solid wastes, the emission volume of waste gas, waste water and solid wastes. It is helpful and important to provide decision support for constituting sustainable development strategies and evaluate the sustainable development status of each city.

  10. 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%.

  11. Social Behavior in Medulloblastoma: Functional Analysis of Tumor-Supporting

    Science.gov (United States)

    2013-07-01

    experts in signal transduction and the medical community. With the support of UVa leadership and the dedication of lab members, the lab has started full...on Shh pathway hyperactivation, originate from granule neuron precursors (GNPs). It is puzzling that although GNPs are unipotent toward the granule...differences in signaling context between transforming and non- responsive cell types could provide critical insights for devising highly effective

  12. Analysis of steel silo structures on discrete supports

    OpenAIRE

    Li,Hongyu

    1994-01-01

    The objective of this thesis is to broaden current knowledge of the strength and buckling/collapse of shells, with special reference to steel silo structures on discrete supports, and thus to provide design guidance of practical value for future silo design and construction and to develop new research aspects for further investigation. A linear elastic solution of the cylindrical shell bending equations is presented for local loadings, with special attention to local longitudinal distri...

  13. IT-Supported Modeling, Analysis and Design of Supply Chains

    Science.gov (United States)

    Nienhaus, Jörg; Alard, Robert; Sennheiser, Andreas

    A common language is a prerequisite for analyzing and optimizing supply chains. Based on experiences with three case studies, this paper identifies the aspects of a supply chain that have to be mapped to take informed decisions on its operations. Current, integrated modeling approaches for supply chains, like the SCOR and the GSCM model, will be analyzed and an advanced approach will be defined. The resulting approach takes advantage of IT-support.

  14. Special aspects of social support: Qualitative analysis of oncologic rehabilitation through a belly dancing peer support group.

    Science.gov (United States)

    Szalai, M; Szirmai, A; Füge, K; Makai, A; Erdélyi, G; Prémusz, V; Bódis, J

    2017-02-13

    Tumour-related peer support groups (PSGs) show long-term development in quality of life and coping, and decrease distress in cancer care. To clarify channels of social support in oncologic rehabilitation by combined exercise and psychosocial therapy, individual semi-structured interviews were conducted after 1 year additional belly dance rehabilitation in a closed PSG among 51 patients with malignant tumour diagnosis in Budapest, Hungary. Interview data were transcribed and analysed using qualitative content analysis (ATLAS.ti 6 Win). Results suggest that group experience provides emotional-, practical- and informational support. We could point out specific social effects of "role model" function and extend the coping model. The group dispose all the features of effective suggestion and may be effectively applied as additional therapy for patients with malignancies. The extended coping model and the introduction of "role model" function could be useful for PSGs' efficacy assessment. © 2017 John Wiley & Sons Ltd.

  15. Religion as a Support Factor for Women of Color Pursuing Science Degrees: Implications for Science Teacher Educators

    Science.gov (United States)

    Ceglie, Robert

    2013-01-01

    This study explores the influence of religion as a support factor for a group of Latina and African-American women majoring in science. The current project is a part of a larger study that investigated persistence factors of underrepresented woman who were enrolled as science majors at United States colleges and universities. This paper focuses on…

  16. An Effective Programme Is Not Enough: A Review of Factors Associated with Poor Attendance and Engagement with Parenting Support Programmes

    Science.gov (United States)

    Whittaker, Karen A.; Cowley, Sarah

    2012-01-01

    The provision of parenting support is a key feature of wealthier nations' health and social care services. However, attendance and engagement by the neediest parents remains poor. Barriers experienced by parents include personal life factors (beliefs, lifestyles and limited resources) and programme-specific factors (delivery, content and support…

  17. Supporting Marine Corps Enhanced Company Operations: A Quantitative Analysis

    Science.gov (United States)

    2010-06-01

    these models, called cellular automaton (CA) models. CA models have their origin in physics and biology . The famous Ising model of magnetic spin...were set to less than 0.05 to enter and leave the model. This model’s purpose is simply to divulge important factors and interactions. It is not

  18. Analysis of pulsed eddy current data using regression models for steam generator tube support structure inspection

    Science.gov (United States)

    Buck, J. A.; Underhill, P. R.; Morelli, J.; Krause, T. W.

    2016-02-01

    Nuclear steam generators (SGs) are a critical component for ensuring safe and efficient operation of a reactor. Life management strategies are implemented in which SG tubes are regularly inspected by conventional eddy current testing (ECT) and ultrasonic testing (UT) technologies to size flaws, and safe operating life of SGs is predicted based on growth models. ECT, the more commonly used technique, due to the rapidity with which full SG tube wall inspection can be performed, is challenged when inspecting ferromagnetic support structure materials in the presence of magnetite sludge and multiple overlapping degradation modes. In this work, an emerging inspection method, pulsed eddy current (PEC), is being investigated to address some of these particular inspection conditions. Time-domain signals were collected by an 8 coil array PEC probe in which ferromagnetic drilled support hole diameter, depth of rectangular tube frets and 2D tube off-centering were varied. Data sets were analyzed with a modified principal components analysis (MPCA) to extract dominant signal features. Multiple linear regression models were applied to MPCA scores to size hole diameter as well as size rectangular outer diameter tube frets. Models were improved through exploratory factor analysis, which was applied to MPCA scores to refine selection for regression models inputs by removing nonessential information.

  19. Analysis of the Main Factors Influencing Food Production in China Based on Time Series Trend Chart

    Institute of Scientific and Technical Information of China (English)

    Shuangjin; WANG; Jianying; LI

    2014-01-01

    Based on the annual sample data on food production in China since the reform and opening up,we select 8 main factors influencing the total food production( growing area,application rate of chemical fertilizer,effective irrigation area,the affected area,total machinery power,food production cost index,food production price index,financial funds for supporting agriculture,farmers and countryside),and put them into categories of material input,resources and environment,and policy factors. Using the factor analysis,we carry out the multi-angle analysis of these typical influencing factors one by one through the time series trend chart. It is found that application rate of chemical fertilizer,the growing area of food crops and drought-affected area become the key factors affecting food production. On this basis,we set forth the corresponding recommendations for improving the comprehensive food production capacity.

  20. Supporting secure programming in web applications through interactive static analysis

    National Research Council Canada - National Science Library

    Zhu, Jun; Xie, Jing; Lipford, Heather Richter; Chu, Bill

    2014-01-01

    .... Static analysis tools have been used to detect software vulnerabilities. However, their wide usage by developers is limited by the special training required to write rules customized to application-specific logic...

  1. Buckling Analysis of Supporting Skirt of Security Injection Tank

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    The purpose of the calculating is to make a structural buckling analysis according to the code rules and the design requirements in order to judge whether the security injection tank have the ability to resist the buckling failure or not

  2. Design analysis of the hinge support for the ITER vacuum vessel

    Energy Technology Data Exchange (ETDEWEB)

    Kim, B.Y. [ITER Korea, National Fusion Research Institute, Daejeon 305-333 (Korea, Republic of); Ahn, H.J., E-mail: hjahn@nfri.re.kr [ITER Korea, National Fusion Research Institute, Daejeon 305-333 (Korea, Republic of); Ha, M.S. [DNDE, Busan 612-021 (Korea, Republic of); Kim, Y.K. [Hyundai Heavy Industries Co. Ltd., Ulsan 682-792 (Korea, Republic of); Kim, H.S.; Sa, J.W.; Kim, B.C.; Bak, J.S. [ITER Korea, National Fusion Research Institute, Daejeon 305-333 (Korea, Republic of); Choi, C.H.; Ioki, K.; Wang, X.; Bachmann, C. [ITER Organization, CS 90 046, 13067 St Paul-lez-Durance CEDEX (France)

    2011-10-15

    In order to verify design feasibility and structural integrity of a hinge type support for the ITER VV support system, the design analysis has been performed in detail, which includes heat transfer, elastic stress and limit analyses. The structural analyses were performed to confirm the transfer of forces through the supporting structure and to determine the maximum allowable loads according to the RCC-MR. From the heat transfer analysis for VV baking stage, total heat flow into the support was obtained to confirm the thermal heat flux into the cryostat under baking condition. In addition, the design modification was also discussed to enhance the structural performance of the supporting system.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. An inter-battery factor analysis of the comrey personality scales and the 16 personality factor questionnaire

    Directory of Open Access Journals (Sweden)

    Gideon P. de Bruin

    2000-06-01

    Full Text Available The scores of 700 Afrikaans-speaking university students on the Comrey Personality Scales and the 16 Personality Factor Questionnaire were subjected to an inter-battery factor analysis. This technique uses only the correlations between two sets of variables and reveals only the factors that they have in common. Three of the Big Five personality factors were revealed, namely Extroversion, Neuroticism and Conscientiousness. However, the Conscientiousness factor contained a relatively strong unsocialised component and in this regard it is similar to Eysencks Psychoticism factor. The results support the construct validity of the Comrey Personality Scales and the 16 Personality Factor Questionnaire. Implications for personality questionnaire design and validation are discussed. OpsommingDie tellings van 700 Afrikaanssprekende universiteitstudente vir die Comrey Persoonlikheidskale en die 16 Per- soonlikheidsfaktorvraelys is aan 'n interbattery-faktorontleding onderwerp. Hierdie tegniek gebruik slegs die korrelasies tussen twee stelle veranderlikes en ontbloot slegs faktore wat die twee stelle veranderlikes gemeen het. Drie van die faktore van die vyfFaktormodel is blootgele, naamlik Ekstroversie, Neurotisisme en Konsensieusheid. Die Konsensieusheidsfaktor het ook n relatief sterk ongesosialiseerdheidskomponent ingesluit en in hierdie sin is dit soortgelyk aan Eysenck se Psigotisisme faktor. Die resultate ondersteun die konstrukgeldigheid van die Comrey Persoonlikheidskale en die 16 Persoonlikheidsfaktorvraelys. Implikasies vir die ontwerp en validering van persoonlikheidstoetse word bespreek.

  9. Factor Structure and Construct Validity of the Eating Disorder Examination-Questionnaire in College Students: Further Support for a Modified Brief Version

    Science.gov (United States)

    Grilo, Carlos M.; Reas, Deborah L.; Hopwood, Christopher J.; Crosby, Ross D.

    2014-01-01

    Objective The Eating Disorder Examination-Questionnaire (EDE-Q) is widely used in research studies across clinical and non-clinical groups. Relatively little is known about psychometric properties of this measure and the available literature has not supported the proposed scale structure. The current study evaluated the factor structure and construct validity of the EDE-Q in a non-clinical study group of young adults. Method Participants were 801 young adults (573 females, 228 males) enrolled at a large public university in the Midwestern United States who completed the EDE-Q and a battery of behavioral and psychological measures. Results Confirmatory factor analysis (CFA) revealed an inadequate fit for the original EDE-Q structure but revealed a good fit for an alternative structure suggested by recent research with predominately overweight/obese samples. CFA supported a modified 7-item, 3-factor structure; the three factors were interpreted as dietary restraint, shape/weight overvaluation, and body dissatisfaction. Factor loadings and item intercepts were invariant across sex and overweight status. The three factors had less redundancy than the original EDE-Q scales and demonstrated improved convergent and discriminant validity in relation to relevant other measures. Discussion These factor-analytic findings, which replicate findings from studies with diverse predominately overweight/obese samples, supported a modified 7-item, 3-factor structure for the EDE-Q with improved psychometric characteristics. The findings provide further empirical support for the distinction between body dissatisfaction and overvaluation and have implications for assessment and research. These findings need to be replicated in samples of persons with eating-disorder psychopathology including those with anorexia nervosa, bulimia nervosa, and allied states. PMID:25346071

  10. Social support received by multidrug-resistant tuberculosis patients and related factors: a cross-sectional study in Zhejiang Province, People's Republic of China

    Directory of Open Access Journals (Sweden)

    Chen B

    2016-06-01

    Full Text Available Bin Chen,1 Yin Peng,1 Lin Zhou,1 Chengliang Chai,1 Hui-Chi Yeh,2 Songhua Chen,1 Fei Wang,1 Mingwu Zhang,1 Tieniu He,1 Xiaomeng Wang1 1Department of Tuberculosis Control and Prevention, Zhejiang Provincial Center for Disease Control and Prevention, Binjiang District, Hangzhou, People’s Republic of China; 2Politics & International Relations, Social Sciences, University of Southampton, Southampton, UK Objectives: The objective of this study is to assess the social support received by patients diagnosed with multidrug-resistant tuberculosis (MDR-TB in Zhejiang Province, People’s Republic of China and the factors that may have influenced it. Methods: A total of 220 MDR-TB patients participated in the questionnaire-based survey, and the data from 212 valid questionnaires were analyzed. The respondents reported their sociodemographic status, disease features, and attitudes toward the disease. The social support rating scale was used to measure the patients’ social support scores. An Independent Samples t-test, one-way analysis of variance, and a multiple linear regression model were used to analyze the related factors for the social support scores. Result: The average social support score of each MDR-TB patient was 32.56±7.86. Participants who were single, widowed or divorced, retired, and had fewer family members and lower family income were found to have lower social support scores. Participants unwilling to disclose their disease tended to have less social support (31.59<34.23, P=0.010. Participants who perceived great help from health care workers reported higher social support rating scale scores than those who perceived no help (35.36>29.89, P=0.014. Conclusion: MDR-TB patients in Zhejiang Province were shown to have a low level of social support. Patients who were not married, had smaller families, and lower family income received less social support, suggesting that family harmony could be an important source of social support. Patients

  11. 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.

  12. 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...

  13. 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.

  14. 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

  15. 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…

  16. Broiler chickens can benefit from machine learning: support vector machine analysis of observational epidemiological data.

    Science.gov (United States)

    Hepworth, Philip J; Nefedov, Alexey V; Muchnik, Ilya B; Morgan, Kenton L

    2012-08-07

    Machine-learning algorithms pervade our daily lives. In epidemiology, supervised machine learning has the potential for classification, diagnosis and risk factor identification. Here, we report the use of support vector machine learning to identify the features associated with hock burn on commercial broiler farms, using routinely collected farm management data. These data lend themselves to analysis using machine-learning techniques. Hock burn, dermatitis of the skin over the hock, is an important indicator of broiler health and welfare. Remarkably, this classifier can predict the occurrence of high hock burn prevalence with accuracy of 0.78 on unseen data, as measured by the area under the receiver operating characteristic curve. We also compare the results with those obtained by standard multi-variable logistic regression and suggest that this technique provides new insights into the data. This novel application of a machine-learning algorithm, embedded in poultry management systems could offer significant improvements in broiler health and welfare worldwide.

  17. Confirmatory factor analysis of the Portuguese Depression Anxiety Stress Scales-21.

    Science.gov (United States)

    Apóstolo, João Luís Alves; Tanner, Barry Allen; Arfken, Cynthia Lee

    2012-01-01

    To determine which of three published models best characterizes the factor structure of the Portuguese version of the Depression Anxiety Stress Scales-21 and to assess its validity and reliability. Confirmatory factor analysis of Depression Anxiety and Stress Scale-21 for 1,297 adult, primary care outpatients (66.7% female, Mage = 48.57 years) comparing 3 models. The relationship between the Depression Anxiety Stress Scales-21 and the Positive and Negative Affect Schedule was analyzed. The correlated 3-factor model fit the data best. The scale demonstrated good internal consistency, with alpha scores of the subscales ranging from 0.836 to 0.897. Correlation with the Positive and Negative Affect Schedule was positive and moderate with the negative affect scale; it was negative and limited with the positive affect. These findings support the correlated 3-factor structure. The test demonstrated adequate reliability and construct validity, which supports its use for screening in primary care settings with Portuguese speakers.

  18. 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.…

  19. Analysis for interaction of supports and surrounding rock of gateways in Iongwall minging

    Institute of Scientific and Technical Information of China (English)

    伍永平

    2001-01-01

    Gateway supporting in long-wall mining has been a problem that restricts the mine production and safety, the paper sets up an interaction model between support and surrounding rock ( rock mass structure) and probes the elementary t.heory about ground pressure behaviors of gateway. Based on the analysis of supporting theories, some new viewpoints about gateways supporting and ground pressure controlling are put forward.

  20. Conceptualizing age-friendly community characteristics in a sample of urban elders: an exploratory factor analysis.

    Science.gov (United States)

    Smith, Richard J; Lehning, Amanda J; Dunkle, Ruth E

    2013-01-01

    Accurate conceptualization and measurement of age-friendly community characteristics would help to reduce barriers to documenting the effects on elders of interventions to create such communities. This article contributes to the measurement of age-friendly communities through an exploratory factor analysis of items reflecting an existing US Environmental Protection Agency policy framework. From a sample of urban elders (n = 1,376), we identified 6 factors associated with demographic and health characteristics: access to business and leisure, social interaction, access to health care, neighborhood problems, social support, and community engagement. Future research should explore the effects of these factors across contexts and populations.

  1. An Analysis of Current Operational Contract Support Planning Doctrine

    Science.gov (United States)

    2015-09-01

    analysis of doctrine and planning assets . The activities include interviews with various contracting and logistics professionals. F. RESEARCH...doctrine typically neglects the tangible and intangible capabilities that using OCS in missions brings to the operational and combatant commander. While... measuring the maturity of a process in practice within an organization through the issuing of surveys and measuring the responses. The model used

  2. Computing support for advanced medical data analysis and imaging

    CERN Document Server

    Wiślicki, W; Białas, P; Czerwiński, E; Kapłon, Ł; Kochanowski, A; Korcyl, G; Kowal, J; Kowalski, P; Kozik, T; Krzemień, W; Molenda, M; Moskal, P; Niedźwiecki, S; Pałka, M; Pawlik, M; Raczyński, L; Rudy, Z; Salabura, P; Sharma, N G; Silarski, M; Słomski, A; Smyrski, J; Strzelecki, A; Wieczorek, A; Zieliński, M; Zoń, N

    2014-01-01

    We discuss computing issues for data analysis and image reconstruction of PET-TOF medical scanner or other medical scanning devices producing large volumes of data. Service architecture based on the grid and cloud concepts for distributed processing is proposed and critically discussed.

  3. Representational Similarity Analysis Reveals Heterogeneous Networks Supporting Speech Motor Control

    DEFF Research Database (Denmark)

    Zheng, Zane; Cusack, Rhodri; Johnsrude, Ingrid

    The everyday act of speaking involves the complex processes of speech motor control. One important feature of such control is regulation of articulation when auditory concomitants of speech do not correspond to the intended motor gesture. While theoretical accounts of speech monitoring posit...... is supported by a complex neural network that is involved in linguistic, motoric and sensory processing. With the aid of novel real-time acoustic analyses and representational similarity analyses of fMRI signals, our data show functionally differentiated networks underlying auditory feedback control of speech....... multiple functional components required for detection of errors in speech planning (e.g., Levelt, 1983), neuroimaging studies generally indicate either single brain regions sensitive to speech production errors, or small, discrete networks. Here we demonstrate that the complex system controlling speech...

  4. Design Support Method Based on Analysis of Shape Impression

    Institute of Scientific and Technical Information of China (English)

    HITOMI Yokoyama; HIDEKI Aoyama

    2011-01-01

    In recent years, aesthetic design is becoming increasingly important in industrial product development due to the growing maturity of product functions. The designer is required to reflect consumer needs in the aesthetic design while giving consideration to the applications and functions of the product. For this reason, effective techniques enabling design creation based on consumer preference and needs are indispensable. The Taguchi method has been effectively used for the robust design of products. In this study, we proposed a design support method applying the Taguchi Method to robust design in respect to the inconsistencies of human kansei(sensitivity), and specifically applied it for quantitatively analyzing the robustness of design solutions created in accordance with the design concept of a digital camera.

  5. Factors Affecting Re-usage Intentions of Virtual Communities Supporting Cosmetic Products

    Directory of Open Access Journals (Sweden)

    Jhong-Min Yang

    2017-01-01

    Full Text Available Aim/Purpose: This study uses a cosmetic virtual community (VC as the research context and the UTAUT model as the theoretical structure aim to explore factors affecting the re-usage intentions of VC members. Background: The Internet use rate of VC was up to 50%, thereby implying that VC gained the attention of Internet users. Therefore, operating a VC will be an effective way to communicate with customers. However, to maintain an existing member is more efficient than creating a new one. As such, understanding determinants of VC members’ re-use intentions becomes important for firms. Methodology: Through an online survey, 276 valid responses were gathered. The collected data were examined by performing confirmatory factor analysis, structural equation modelling procedures, as well as the moderator analysis. Contribution: This study shows the importance in the context of online cosmetics-related VC, which was rarely explored before. We provide issues for future research, despite the accumulated academic literature related to UTAUT and VC. Findings: Results show that only performance expectancy and social influence significantly affecting re-usage intentions and only gender has moderating effects on the path from performance expectancy to VC re-use intention and from trust to VC re-use intention. Recommendations for Practitioners\t: This study found that users emphasized performance expectancy most of all. A cosmetic product-related VC should introduce products abundantly, offer useful information, and help people accomplish tasks quickly and productively. Recommendation for Researchers: Future researchers may use our findings to conduct further positivist research in the area of social influence using different subjects and research contexts.

  6. Diet quality is associated with mental health, social support, and neighborhood factors among Veterans.

    Science.gov (United States)

    Hoerster, Katherine D; Wilson, Sarah; Nelson, Karin M; Reiber, Gayle E; Masheb, Robin M

    2016-12-01

    United States Veterans have a higher prevalence of overweight and related chronic conditions compared to the general population. Although diet is a primary and modifiable contributor to these conditions, little is known about factors influencing diet quality among Veterans. The goal of this study is to examine individual, social environment, and physical environment correlates of general diet quality among Veterans. Study participants (N=653) received care at an urban VA Medical Center in Seattle, WA and completed a mailed survey in 2012 and 2013. Diet quality was assessed with Starting the Conversation, an instrument that measures consumption of unhealthy snacks, fast food, desserts, sugar-sweetened beverages, and fats; fruits and vegetables; and healthy proteins. Variables significantly (pavailability of low-fat foods in neighborhood stores where the Veteran shops (Diff=-0.37; CI=-0.6, -0.2; pphysical environment. Findings from this study suggest that interventions aimed at mental health, social support, and neighborhood access to healthy foods are needed to improve Veteran diet quality.

  7. 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.

  8. 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.

  9. To use or not to use. A literature review of factors that influence family caregivers' use of support services.

    Science.gov (United States)

    Mast, Merle E

    2013-01-01

    Many family caregivers of frail older adults postpone or decline accessible and affordable services such as respite, despite their acknowledgement of unmet needs for support and time away from the burdens and stress of caregiving. How caregivers perceive their need for services, and the factors that influence their decisions to use or not to use services, remain poorly understood. This article reviews the literature on family caregiving and the complex interrelated factors that influence caregivers' choices regarding support services. It organizes these factors into four areas: (a) service characteristics, (b) personal predisposing factors that affect perceived need, (c) experiential coping and decision-making patterns, and (d) relational factors. It also examines the implications of this evidence for nursing assessments and interventions with frail older adults and their family caregivers.

  10. 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.

  11. Navy Additive Manufacturing: Policy Analysis for Future DLA Material Support

    Science.gov (United States)

    2014-12-01

    NAVY ADDITIVE MANUFACTURING TECHNOLOGIES The Navy currently operates AM machines in depots, labs, hospitals and other warfare centers. Four major...Lorincz, J. (2014). Additive Joins Subtractive on Advanced All-in-One Machines . Manufacturing Engineering, 152(4), 67–69,71–72,74–77. McNulty, C. M...NAVAL POSTGRADUATE SCHOOL MONTEREY, CALIFORNIA MBA PROFESSIONAL REPORT NAVY ADDITIVE MANUFACTURING : POLICY ANALYSIS FOR FUTURE

  12. Multiresolution Analysis by Infinitely Differentiable Compactly Supported Functions

    Science.gov (United States)

    1992-09-01

    Z 2. Wavelet decompositions The up function provides an interesting example of wavelet decompositions via multiresolution. A general discussion of...Math. Surveys 45:1 (1990), 87-120. [I] (;. Strang and G. Fix, A Fourier analysis of the finite element variational method. C.I.M.F. I 1 Ciclo 1971, in Constructi’c Aspects of Functional Analyszs ed. G. Geymonat 1973, 793-840. 10

  13. Preliminary Analysis of Helicopter Options to Support Tunisian Counterterrorism Operations

    Science.gov (United States)

    2016-04-27

    results of the current analysis and in Mouton et al., 2015, is the relative cost -effectiveness between the CH-47D and the Mi-17v5. In the previous...helicopters from Sikorsky to fulfill a number of roles in counterterrorism operations. Rising costs and delays in delivery raised the question of...whether other cost -effective options exist to meet Tunisia’s helicopter requirement. Approach Our team conducted a preliminary assessment of

  14. 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.

  15. 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.

  16. Sensitivity Analysis of a Spatio-Temporal Avalanche Forecasting Model Based on Support Vector Machines

    Science.gov (United States)

    Matasci, G.; Pozdnoukhov, A.; Kanevski, M.

    2009-04-01

    The recent progress in environmental monitoring technologies allows capturing extensive amount of data that can be used to assist in avalanche forecasting. While it is not straightforward to directly obtain the stability factors with the available technologies, the snow-pack profiles and especially meteorological parameters are becoming more and more available at finer spatial and temporal scales. Being very useful for improving physical modelling, these data are also of particular interest regarding their use involving the contemporary data-driven techniques of machine learning. Such, the use of support vector machine classifier opens ways to discriminate the ``safe'' and ``dangerous'' conditions in the feature space of factors related to avalanche activity based on historical observations. The input space of factors is constructed from the number of direct and indirect snowpack and weather observations pre-processed with heuristic and physical models into a high-dimensional spatially varying vector of input parameters. The particular system presented in this work is implemented for the avalanche-prone site of Ben Nevis, Lochaber region in Scotland. A data-driven model for spatio-temporal avalanche danger forecasting provides an avalanche danger map for this local (5x5 km) region at the resolution of 10m based on weather and avalanche observations made by forecasters on a daily basis at the site. We present the further work aimed at overcoming the ``black-box'' type modelling, a disadvantage the machine learning methods are often criticized for. It explores what the data-driven method of support vector machine has to offer to improve the interpretability of the forecast, uncovers the properties of the developed system with respect to highlighting which are the important features that led to the particular prediction (both in time and space), and presents the analysis of sensitivity of the prediction with respect to the varying input parameters. The purpose of the

  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. [Analysis of influential factors for job burnout among managers in a joint venture in Guangzhou, China].

    Science.gov (United States)

    Lin, Qiu-hong; Jiang, Chao-qiang; Liu, Yi-min; Guo, Jing-yi; Lam, Tai Hing

    2013-12-01

    To investigate the influential factors for job burnout among the managerial staff in a Sino-Japanese joint venture automobile manufacturer in Guangzhou, China. A total of 288 managers in a Sino-Japanese joint venture automobile manufacturer were surveyed using the Occupational Stress Indicator, Maslach Burnout Inventory (MBI), Eysenck Personality Questionnaire, Simplified Coping Style Questionnaire, and Social Support Rating Scale. On the depersonalization dimension, the male managers had significantly higher scores than the female managers. The scores of emotion exhaustion and depersonalization of MBI showed significant differences among the managers with different levels of occupational stress. The path analysis showed that occupational stress, neuroticism, and psychoticism had negative effects on emotion exhaustion, while job satisfaction and utilization of social support had direct positive effects on emotion exhaustion. Occupational stress, psychoticism, and passive coping style had direct negative effects on depersonalization, while job satisfaction, objective support, and utilization of social support had positive effects on depersonalization. Job satisfaction and active coping style had positive effects on sense of personal accomplishment, while passive coping style had a negative effect on sense of personal accomplishment. Personality exerted its effect on social support through coping style and thus on job satisfaction and job burnout. Male managers have a greater propensity to depersonalization than their female counterparts. High occupational stress is a risk factor for job burnout. Personality, social support, and coping style are influential factors for job burnout.

  19. Column Selection for Biomedical Analysis Supported by Column Classification Based on Four Test Parameters.

    Science.gov (United States)

    Plenis, Alina; Rekowska, Natalia; Bączek, Tomasz

    2016-01-21

    This article focuses on correlating the column classification obtained from the method created at the Katholieke Universiteit Leuven (KUL), with the chromatographic resolution attained in biomedical separation. In the KUL system, each column is described with four parameters, which enables estimation of the FKUL value characterising similarity of those parameters to the selected reference stationary phase. Thus, a ranking list based on the FKUL value can be calculated for the chosen reference column, then correlated with the results of the column performance test. In this study, the column performance test was based on analysis of moclobemide and its two metabolites in human plasma by liquid chromatography (LC), using 18 columns. The comparative study was performed using traditional correlation of the FKUL values with the retention parameters of the analytes describing the column performance test. In order to deepen the comparative assessment of both data sets, factor analysis (FA) was also used. The obtained results indicated that the stationary phase classes, closely related according to the KUL method, yielded comparable separation for the target substances. Therefore, the column ranking system based on the FKUL-values could be considered supportive in the choice of the appropriate column for biomedical analysis.

  20. 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.

  1. 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.

  2. Self-management support by final year nursing students: A correlational study of performance and person-related associated factors.

    Science.gov (United States)

    Duprez, Veerle; Beeckman, Dimitri; Verhaeghe, Sofie; Van Hecke, Ann

    2017-06-24

    Chronic conditions put a heavy burden on healthcare in every country. Supporting persons with a chronic illness to take an active role in the management of their condition is a core component in the Chronic Care Model. It implies confidence and good skills from professionals. To date, there is no evidence on final year nursing students' performance in supporting patients' self-management, nor on factors associated with this performance. To explore self-reported performance of supporting patients' self-management by final year nursing students, and person-related factors associated with this performance. A correlational multi-centre study of final year nursing students (N=256) from eight nursing schools. Students were recruited from a convenience sample of eight nursing schools. All final year students were invited to participate. Data were collected between January 2015 and May 2016 using self-administered validated questionnaires. Theoretical behavioural frameworks were used to select hypothesized associated factors for self-management support: self-efficacy to perform self-management support and socio-structural factors (Social Cognitive Theory); needs for autonomy, competence and relatedness, and patient-invested contingent self-esteem (Self-Determination Theory); and attitudes towards supporting patients' self-management (Theory of Planned Behaviour). Final year nursing students (N=256) reported an overall low level of performance in delivering self-management support during internship. Students lacked mainly competencies in collaborative goal setting and shared decision making. Students reported a significant gap between their confidence and their actual performance in self-management support (p<0.001). About 33% of the variance in students' performance is predicted by four person-related factors, i.e. self-efficacy to perform self-management support, general feeling of competency on internship, belief on patients' knowledge about condition management, and

  3. Gender in the Geosciences: Factors Supporting the Recruitment and Retention of Women in the Undergraduate Major

    Science.gov (United States)

    Riggs, E. M.; Sexton, J. M.; Pugh, K.; Bergstrom, C.; Parmley, R.; Phillips, M.

    2014-12-01

    The proportion of women earning undergraduate geoscience degrees has remained about 40% for over a decade. Little research has investigated why women select and persist in a geoscience major. This study addresses why students major in the geosciences and why some programs are more successful at recruiting and retaining female students. We collected interview and survey data from faculty and students at six public US universities. Four sites had a low proportion of female degree recipients ( 48%). 408 students (64% female) completed surveys. Interviews were conducted with 49 faculty members and 151 students. Survey data analysis showed that interest/identity and transformative experiences were significant predictors of students' decision to major in geoscience. Institutional barriers and supports were significant predictors of confidence in the major while connection to instructor predicted students' intent to major. Analysis of pre- and post-course surveys show that students with a greater connection to instructors and students whose instructors expressed more passion for the content also reported higher levels of transformative experiences. This effect was especially pronounced for women and was a significant predictor of persistence in the major. Qualitative data show differences in departmental practices and climate between low and high female graduation sites. High sites used many student-centered approaches to teaching, had extensive opportunities for and a high number of undergraduate students involved in research, and had many opportunities for faculty-student interaction outside of class. Low sites had few of these practices. Qualitative data also showed differences in the gendered equity climate between high and low sites. High sites had more positive gender equity climates and low sites had more negative gender equity climates. At this time, we do not fully understand the causal relationships among all of these findings and higher female graduation rates

  4. Use of Grid Tools to Support CMS Distributed Analysis

    CERN Document Server

    Fanfani, A; Anjum, A; Barrass, T; Bonacorsi, D; Bunn, J; Corvo, M; Darmenov, N; De Filippis, N; Donno, F; Donvito, G; Eulisse, G; Fanzago, F; Filine, A; Grandi, C; Hernández, J M; Innocente, V; Jan, A; Lacaprara, S; Legrand, I; Metson, S; Newman, H; Silvestris, L; Steenberg, C; Stockinger, H; Taylor, L; Thomas, M; Tuura, L; Van Lingen, F; Wildish, T

    2004-01-01

    In order to prepare the Physic Technical Design Report, due by end of 2005, the CMS experiment needs to simulate, reconstruct and anlayse about 100 million events, corresponding to more than 200 TB of data. The data will be distributed to several Computing Centres. In order to provide access to the whole data sample to all the world-wide dispersed physicists, CMS is developing a layer of software that uses the grid tools provided by the LCG project to gain access to data and resources and that aims to provide physicists with a user friendly interface for submitting analysis jobs. The GRID tools used are both those already available in the LCG-2 release and those being developed in gain access to data and resources and that aims to provide physicists with a user friendly interface for submitting analysis jobs. The GRID tools used are both those already available in the LCG-2 release and those being developed in the framework of the ARDA project. This work describes the current status and the future development...

  5. 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.

  6. More support for mothers: a qualitative study on factors affecting immunisation behaviour in Kampala, Uganda

    Directory of Open Access Journals (Sweden)

    Wamani Henry

    2011-09-01

    Full Text Available Abstract Background The proportion of Ugandan children who are fully vaccinated has varied over the years. Understanding vaccination behaviour is important for the success of the immunisation programme. This study examined influences on immunisation behaviour using the attitude-social influence-self efficacy model. Methods We conducted nine focus group discussions (FGDs with mothers and fathers. Eight key informant interviews (KIIs were held with those in charge of community mobilisation for immunisation, fathers and mothers. Data was analysed using content analysis. Results Influences on the mother's immunisation behaviour ranged from the non-supportive role of male partners sometimes resulting into intimate partner violence, lack of presentable clothing which made mothers vulnerable to bullying, inconvenient schedules and time constraints, to suspicion against immunisation such as vaccines cause physical disability and/or death. Conclusions Immunisation programmes should position themselves to address social contexts. A community programme that empowers women economically and helps men recognise the role of women in decision making for child health is needed. Increasing male involvement and knowledge of immunisation concepts among caretakers could improve immunisation.

  7. [Preparation and structural analysis of diatomite-supported SPFS flocculant].

    Science.gov (United States)

    Zheng, Huai-li; Fang, Hui-li; Jiang, Shao-jie; Yang, Chun; Ma, Jiang-ya; Zhang, Zhao-qing

    2011-07-01

    In the presetn study, polymerized ferric sulphate (PFS) flocculant was prepared and tested. In the preparation of PFS flocculant, industrial by-product ferrous sulfate heptahydrate (FeSO4.7H2O) was reused as the main material. By composition with diatomite and drying up at certain temperature in vacuum drying oven, solid PFS flocculant was produced. Structural characteristics of the new flocculant product were examined through infrared spectroscopy and scanning electron microscopy (SEM), which showed that by compositing with diatomite, new group bridging emerged in the structure of PFS, which made the bond of groups stronger. In addition, part of the metalic contents in diatomite was polymerized with PFS, the product of which was polymerized ferric complex. Furthermore, the absorbing and agglomerating capacity of the diatomite carrier was significant. Considering the factors listed above, the new solid polymerized ferric sulphate (SPFS) flocculant was characterized with a larger molecule structure and enhanced absorbing, bridging and rolling sweep capacities. Through orthogonal experiment, optimum conditions of synthesis were as follows: the ratio of FeSO4.7H2O/diatomite in weight was 43/1, the reaction time is 1 h and the reaction temperature is 55 degrees C. By wastewater treatment experiment, it was found that the synthetic products showed good flocculation performance in the treatment of domestic sewage, the removal of COD was 80.00% and the removal of turbidity was 99.98%.

  8. 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.

  9. Health organizations providing and seeking social support: a Twitter-based content analysis.

    Science.gov (United States)

    Rui, Jian Raymond; Chen, Yixin; Damiano, Amanda

    2013-09-01

    Providing and seeking social support are important aspects of social exchange. New communication technologies, especially social network sites (SNSs), facilitate the process of support exchange. An increasing number of health organizations are using SNSs. However, how they provide and seek social support via SNSs has yet to garner academic attention. This study examined the types of social support provided and sought by health organizations on Twitter. A content analysis was conducted on 1,500 tweets sent by a random sample of 58 health organizations within 2 months. Findings indicate that providing informational and emotional support, as well as seeking instrumental support, were the main types of social support exchanged by health organizations through Twitter. This study provides a typology for studying social support exchanges by health organizations, and recommends strategies for health organizations regarding the effective use of Twitter.

  10. Lifestyle support through efficient ECG acquisition and analysis.

    Science.gov (United States)

    Devlin, Steven; Nugent, Chris; Finlay, Dewar

    2005-01-01

    People are becoming more aware of their health and the lifestyles they live. As people use computers more and more in a wide variety of occupations, they would find it desirable to monitor their lifestyle without having to leave their desk. Through the analysis of the Electrocardiogram (ECG), it is possible to obtain a person's heartrate and diagnose a number of conditions associated with abnormal heart function. To obtain an accurate heartrate, the ECG signals have to be analysed and calculations performed to find occurrences of the QRS complex, a major component of the ECG signal. This research entailed creating the software required to interpret ECG signals recorded from an innovative computer peripheral allowing recordings from the user's forearms as they operate the computer. The user could therefore effortlessly monitor their lifestyle during normal computer usage.

  11. Highly predictive support vector machine (SVM) models for anthrax toxin lethal factor (LF) inhibitors.

    Science.gov (United States)

    Zhang, Xia; Amin, Elizabeth Ambrose

    2016-01-01

    Anthrax is a highly lethal, acute infectious disease caused by the rod-shaped, Gram-positive bacterium Bacillus anthracis. The anthrax toxin lethal factor (LF), a zinc metalloprotease secreted by the bacilli, plays a key role in anthrax pathogenesis and is chiefly responsible for anthrax-related toxemia and host death, partly via inactivation of mitogen-activated protein kinase kinase (MAPKK) enzymes and consequent disruption of key cellular signaling pathways. Antibiotics such as fluoroquinolones are capable of clearing the bacilli but have no effect on LF-mediated toxemia; LF itself therefore remains the preferred target for toxin inactivation. However, currently no LF inhibitor is available on the market as a therapeutic, partly due to the insufficiency of existing LF inhibitor scaffolds in terms of efficacy, selectivity, and toxicity. In the current work, we present novel support vector machine (SVM) models with high prediction accuracy that are designed to rapidly identify potential novel, structurally diverse LF inhibitor chemical matter from compound libraries. These SVM models were trained and validated using 508 compounds with published LF biological activity data and 847 inactive compounds deposited in the Pub Chem BioAssay database. One model, M1, demonstrated particularly favorable selectivity toward highly active compounds by correctly predicting 39 (95.12%) out of 41 nanomolar-level LF inhibitors, 46 (93.88%) out of 49 inactives, and 844 (99.65%) out of 847 Pub Chem inactives in external, unbiased test sets. These models are expected to facilitate the prediction of LF inhibitory activity for existing molecules, as well as identification of novel potential LF inhibitors from large datasets.

  12. Male longevity in Sardinia, a review of historical sources supporting a causal link with dietary factors.

    Science.gov (United States)

    Pes, G M; Tolu, F; Dore, M P; Sechi, G P; Errigo, A; Canelada, A; Poulain, M

    2015-04-01

    The identification of a hot spot of exceptional longevity, the Longevity Blue Zone (LBZ), in the mountain population of Sardinia has aroused considerable interest toward its traditional food as one of the potential causal factors. This preliminary study on the traditional Sardinian diet has been supported by the literature available, which has been carefully reviewed and compared. Up to a short time ago, the LBZ population depended mostly upon livestock rearing, and consumption of animal-derived foods was relatively higher than in the rest of the island. The nutrition transition (NT) in urbanized and lowland areas began in the mid-1950s, fueled by economic development, whereas in the LBZ it started later owing to prolonged resistance to change by a society organized around a rather efficient pastoral economy. Even nowadays a large proportion of the population in this area still follows the traditional diet based on cereal-derived foods and dairy products. The LBZ cohorts comprising individuals who were of a mature age when NT began may have benefited both from the high-quality, albeit rather monotonous, traditional diet to which they had been exposed most of their life and from the transitional diet, which introduced positive changes such as more variety, increased consumption of fruits and vegetables and moderate meat intake. It could be speculated that these changes may have brought substantial health benefits to this particular aging group, which was in need of nutrient-rich food at this specific time in life, thereby resulting in a decreased mortality risk and, in turn, life-span extension.

  13. Tumor necrosis factor receptors support murine hematopoietic progenitor function in the early stages of engraftment.

    Science.gov (United States)

    Pearl-Yafe, Michal; Mizrahi, Keren; Stein, Jerry; Yolcu, Esma S; Kaplan, Ofer; Shirwan, Haval; Yaniv, Isaac; Askenasy, Nadir

    2010-07-01

    Tumor necrosis factor (TNF) family receptors/ligands are important participants in hematopoietic homeostasis, in particular as essential negative expansion regulators of differentiated clones. As a prominent injury cytokine, TNF-alpha has been traditionally considered to suppress donor hematopoietic stem and progenitor cell function after transplantation. We monitored the involvement of TNF receptors (TNF-R) 1 and 2 in murine hematopoietic cell engraftment and their inter-relationship with Fas. Transplantation of lineage-negative (lin(-)) bone marrow cells (BMC) from TNF receptor-deficient mice into wild-type recipients showed defective early engraftment and loss of durable hematopoietic contribution upon recovery of host hematopoiesis. Consistently, cells deficient in TNF receptors had reduced competitive capacity as compared to wild-type progenitors. The TNF receptors were acutely upregulated in bone marrow (BM)-homed donor cells (wild-type) early after transplantation, being expressed in 60%-75% of the donor cells after 6 days. Both TNF receptors were detected in fast cycling, early differentiating progenitors, and were ubiquitously expressed in the most primitive progenitors with long-term reconstituting potential (lin(-)c-kit(+) stem cell antigen (SCA)-1(+)). BM-homed donor cells were insensitive to apoptosis induced by TNF-alpha and Fas-ligand and their combination, despite reciprocal inductive cross talk between the TNF and Fas receptors. The engraftment supporting effect of TNF-alpha is attributed to stimulation of progenitors through TNF-R1, which involves activation of the caspase cascade. This stimulatory effect was not observed for TNF-R2, and this receptor did not assume redundant stimulatory function in TNFR1-deficient cells. It is concluded that TNF-alpha plays a tropic role early after transplantation, which is essential to successful progenitor engraftment.

  14. The Effects of Forearm Support on Upper Body for People in Front of Monitor: A Meta-Analysis.

    Science.gov (United States)

    Lyu, Jingtong; Wu, Xiaojing; Duan, Xin; Xiang, Zhou

    2015-01-01

    With the ever-growing number of people who work at visual display terminals, the work-related musculoskeletal disorders of the upper body are believed to be an important problem all over the world. The forearm support, which can keep the forearm and wrist in biomechanical posture, is a possible protective factor of the development of upper body syndrome. This meta-analysis examines the efficacy of forearm support in reducing upper body syndrome. The Cochrane Library, EMBASE, Ovid, ScienceDirect, SpringerLink, Google Scholar, CNKI database, and Wanfang database were searched from inception until May 29, 2013. Relevant studies were included after the screening of title, abstract, and the full text. Impact of bias was assessed independently by 2 authors. Four studies that met all the inclusion criteria were included finally. The combined results based on all studies suggested that statistically the forearm support had a nonsignificant effect on upper body syndrome (odds ratio [OR] = 0.70, 95% confidence interval [CI]: 0.49, 1.02). The result of subgroup analysis suggested that forearm support has a significant effect on neck or shoulder syndrome (OR = 0.70, 95% CI: 0.43, 1.14) and the effect on upper extremity syndrome (OR = 0.76, 95% CI: 0.49, 1.19) is not significant. This meta-analysis suggested that the forearm support had statistically nonsignificant effect on preventing upper body syndrome on the whole.

  15. To be involved or not: factors that influence nurses' involvement in providing treatment decisional support in advanced cancer.

    Science.gov (United States)

    Barthow, Christine; Moss, Cheryle; McKinlay, Eileen; McCullough, Leslie; Wise, Debbie

    2009-02-01

    Decisional support is a multifaceted process of facilitating patients' decision making regarding treatment choices. Effective decisional support practices of nurses in relation to the use of anticancer therapies in patients with advanced disease are central to quality cancer care. A recent qualitative descriptive study (n=21) exploring the decision making practices of doctors and nurses in one tertiary cancer centre in New Zealand identified many complexities associated with nurses and their participation in decisional support. The study revealed that cancer nurses had varied opinions about the meaning and importance of their roles in treatment related decision making. This variation was significant and led the researchers to undertake a detailed secondary exploration of factors that impacted on the nurses' involvement in the provision of decisional support. Four key groups of factors were identified. These were factors relating to degree of knowledge, level of experience, beliefs and understandings about nursing roles and cancer therapies, and structural interfaces in the work setting. Understanding these factors is important because it allows modification of the conditions which impact on the ability to provide effective decisional care. It also provides some understanding of clinical drivers associated with nurses' decisional support work with patients who have advanced cancer.

  16. 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.

  17. 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.

  18. Modeling and Analysis of Mechanical Quality Factor of the Resonator for Cylinder Vibratory Gyroscope

    Institute of Scientific and Technical Information of China (English)

    XI Xiang; WU Xuezhong; WU Yulie; ZHANG Yongmeng

    2017-01-01

    Mechanical Quality factor(Q factor) of the resonator is an important parameter for the cylinder vibratory gyroscope(CVG).Traditional analytical methods mainly focus on a partial energy loss during the vibration process of the CVG resonator,thus are not accurate for the mechanical Q factor prediction.Therefore an integrated model including air damping loss,surface defect loss,support loss,thermoelastic damping loss and internal friction loss is proposed to obtain the mechanical Q factor of the CVG resonator.Based on structural dynamics and energy dissipation analysis,the contribution of each energy loss to the total mechanical Q factor is quantificationally analyzed.For the resonator with radius ranging from 10 mm to 20 mm,its mechanical Q factor is mainly related to the support loss,thermoelastic damping loss and internal friction loss,which are fundamentally determined by the geometric sizes and material properties of the resonator.In addition,resonators made of alloy 3J53 (Ni42CrTiA1),with different sizes,were experimentally fabricated to test the mechanical Q factor.The theoretical model is well verified by the experimental data,thus provides an effective theoretical method to design and predict the mechanical Q factor of the CVG resonator.

  19. Modeling and analysis of mechanical Quality factor of the resonator for cylinder vibratory gyroscope

    Science.gov (United States)

    Xi, Xiang; Wu, Xuezhong; Wu, Yulie; Zhang, Yongmeng

    2016-08-01

    Mechanical Quality factor(Q factor) of the resonator is an important parameter for the cylinder vibratory gyroscope(CVG). Traditional analytical methods mainly focus on a partial energy loss during the vibration process of the CVG resonator, thus are not accurate for the mechanical Q factor prediction. Therefore an integrated model including air damping loss, surface defect loss, support loss, thermoelastic damping loss and internal friction loss is proposed to obtain the mechanical Q factor of the CVG resonator. Based on structural dynamics and energy dissipation analysis, the contribution of each energy loss to the total mechanical Q factor is quantificationally analyzed. For the resonator with radius ranging from 10 mm to 20 mm, its mechanical Q factor is mainly related to the support loss, thermoelastic damping loss and internal friction loss, which are fundamentally determined by the geometric sizes and material properties of the resonator. In addition, resonators made of alloy 3J53 (Ni42CrTiAl), with different sizes, were experimentally fabricated to test the mechanical Q factor. The theoretical model is well verified by the experimental data, thus provides an effective theoretical method to design and predict the mechanical Q factor of the CVG resonator.

  20. Canister storage building (CSB) safety analysis report phase 3: Safety analysis documentation supporting CSB construction

    Energy Technology Data Exchange (ETDEWEB)

    Garvin, L.J.

    1997-04-28

    The Canister Storage Building (CSB) will be constructed in the 200 East Area of the U.S. Department of Energy (DOE) Hanford Site. The CSB will be used to stage and store spent nuclear fuel (SNF) removed from the Hanford Site K Basins. The objective of this chapter is to describe the characteristics of the site on which the CSB will be located. This description will support the hazard analysis and accident analyses in Chapter 3.0. The purpose of this report is to provide an evaluation of the CSB design criteria, the design's compliance with the applicable criteria, and the basis for authorization to proceed with construction of the CSB.

  1. 基于流固耦合作用的海底隧道初期支护安全影响因素分析%Analysis on Impact Factors on Initial Support Safety in Subsea Tunnel Base on Couple Fluid-mechanical

    Institute of Scientific and Technical Information of China (English)

    孙文君; 王学民; 杨鹏志; 王蓉蓉

    2015-01-01

    以青岛海底隧道试验段为工程背景,基于流固耦合理论对海底隧道初期支护安全性的影响因素进行分析,结论表明:(1)注浆加固显著改善了洞周土体强度和整体性,塑性区范围得到有效控制;(2)注浆加固优化了支护结构的受力,随着加固圈厚度的增加,洞周位移出现不同程度的衰减,加固圈厚度对减小水压的贡献依次为:拱顶>拱腰>拱脚>仰拱;(3)随着加固圈渗透系数的增大,洞周水压力随之增大;(4)在流固耦合作用下,仰拱处的土压力远大于其他部位;(5)现行支护参数条件下,海底隧道初期支护结构满足安全性要求,现场实测与数值计算基本相符。%With reference to Jiaozhouwan subsea tunnel in Qingdao and based on the coupled fluid-solid theory, the impact factors are studied on initial support safety in subsea tunnel. The results show that:(1)The strength and integrity of surrounding rock are improved significantly by grouting reinforcement and the plastic zone is effectively controlled; ( 2 ) The force of the supporting structure is optimized by grouting reinforcement ring, with the increase of the reinforcement thickness, the displacement attenuates in a certain degree, and the thickness of the reinforced ring contributes to the reduction of water pressure in such a sequence: arch top to arch web to arch foot to inverted arch; ( 3 ) With the increase of the permeability coefficient of reinforced ring, the water pressure around the tunnel is increasing;( 4 ) The earth pressure at the inverted arch is much bigger than anywhere else under couple fluid-mechanical;(5)The initial support structure meets the requirement for safety with the current support parameters, and the site measurements agree basically with the numerical calculations.

  2. 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...

  3. A Process Evaluation to Assess Contextual Factors Associated With the Uptake of a Rapid Response Service to Support Health Systems' Decision-Making in Uganda.

    Science.gov (United States)

    Mijumbi-Deve, Rhona; Sewankambo, Nelson K

    2017-02-04

    Although proven feasible, rapid response services (RRSs) to support urgent decision and policymaking are still a fairly new and innovative strategy in several health systems, more especially in low-income countries. There are several information gaps about these RRSs that exist including the factors that make them work in different contexts and in addition what affects their uptake by potential end users. We used a case study employing process evaluation methods to determine what contextual factors affect the utilization of a RRS in Uganda. We held in-depth interviews with researchers, knowledge translation (KT) specialists and policy-makers from several research and policy-making institutions in Uganda's health sector. We analyzed the data using thematic analysis to develop categories and themes about activities and structures under given program components that affected uptake of the service. We identified several factors under three themes that have both overlapping relations and also reinforcing loops amplifying each other: Internal factors (those factors that were identified as over which the RRS had full [or almost full] control); external factors (factors over which the service had only partial influence, a second party holds part of this influence); and environmental factors (factors over which the service had no or only remote control if at all). Internal factors were the design of the service and resources available for it, while the external factors were the service's visibility, integrity and relationships. Environmental factors were political will and health system policy and decision-making infrastructure. For health systems practitioners considering RRSs, knowing what factors will affect uptake and therefore modifying them within their contexts is important to ensure efficient use and successful utilization of the mechanisms.

  4. SEPAC data analysis in support of the environmental interaction program

    Science.gov (United States)

    Lin, Chin S.

    1991-01-01

    Data analyses of the Space Experiments with Particle Accelerators (SEPAC) data and computer modeling were conducted to investigate spacecraft environmental effects associated with injection of electron beams, plasma clouds, and neutral gas clouds from the Shuttle orbiter. The data analysis indicates that Extremely Low Frequency oscillations from 150 to 200 Hz were seen in the Langmuir probe current when the beam was fired in a continuous mode. The strongest oscillations occurred when the ambient pressure was augmented by neutral gas releases from the SEPAC plasma accelerator magnetoplasma-dynamic (MPD) arcjet. To understand the dependence of spacecraft charging potential on beam density and other plasma parameters, a two-dimensional electrostatic particle code was used to simulate the injection of electron beams from an infinite conductor into a plasma. The simulations show that the conductor charging potential depends critically on the reflection coefficient of the conductor surface, which is defined as the percentage of incident particles reflected by the conductor. The ionization effects on spacecraft charging were examined by including interactions of electrons with neutral gas. The simulations show that the conductor charging potential decreases with increasing neutral background density due to the production of secondary electrons near the conductor surface. The simulations also indicate that the beam radius is generally proportional to the beam electron gyroradius when the conductor is charged to a large potential. It appears that the charge buildup at the beam stagnation point causes the beam radial expansion. A survey of the simulation results suggests that the ratio of the beam radius to the beam electron gyroradius increases with the square root of beam density and decreases inversely with beam injection velocity. These results are useful for explaining the spacecraft charging phenomena observed during SEPAC experiments from Spacelab 1.

  5. 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.

  6. Development of a Decision Support System for Analysis and Solutions of Prolonged Standing in the Workplace

    Science.gov (United States)

    Halim, Isa; Arep, Hambali; Kamat, Seri Rahayu; Abdullah, Rohana; Omar, Abdul Rahman; Ismail, Ahmad Rasdan

    2014-01-01

    Background Prolonged standing has been hypothesized as a vital contributor to discomfort and muscle fatigue in the workplace. The objective of this study was to develop a decision support system that could provide systematic analysis and solutions to minimize the discomfort and muscle fatigue associated with prolonged standing. Methods The integration of object-oriented programming and a Model Oriented Simultaneous Engineering System were used to design the architecture of the decision support system. Results Validation of the decision support system was carried out in two manufacturing companies. The validation process showed that the decision support system produced reliable results. Conclusion The decision support system is a reliable advisory tool for providing analysis and solutions to problems related to the discomfort and muscle fatigue associated with prolonged standing. Further testing of the decision support system is suggested before it is used commercially. PMID:25180141

  7. Audit of Cardiovascular Disease Risk Factors among Supported Adults with Intellectual Disability Attending an Ageing Clinic

    Science.gov (United States)

    Wallace, Robyn A.; Schluter, Philip

    2008-01-01

    Background: Little is known about the cardiovascular disease (CVD) risk factor profile for older adults with intellectual disability (ID). As many CVD risk factors are treatable by lifestyle changes, confirmation of the risk factor profile for older adults with ID could substantially impact upon preventive health practices for this group. Method:…

  8. Analysis for interaction of supports and surrounding rock of gateways in longwall minging

    Institute of Scientific and Technical Information of China (English)

    WU Yong-ping

    2001-01-01

    Gateway supporting in long-wall mining has been a problem that restri cts the mine production and safety, the paper sets up an interaction model betwe en support and surrounding rock (rock mass structure) and probes the elementary theory about ground pressure behaviors of gateway. Based on the analysis of supp orting theories, some new viewpoints about gateways supporting and ground pressu re controlling are put forward.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. Number of iterations needed in Monte Carlo Simulation using reliability analysis for tunnel supports

    Directory of Open Access Journals (Sweden)

    E. Bukaçi

    2016-06-01

    Full Text Available There are many methods in geotechnical engineering which could take advantage of Monte Carlo Simulation to establish probability of failure, since closed form solutions are almost impossible to use in most cases. The problem that arises with using Monte Carlo Simulation is the number of iterations needed for a particular simulation.This article will show why it’s important to calculate number of iterations needed for Monte Carlo Simulation used in reliability analysis for tunnel supports using convergence – confinement method. Number if iterations needed will be calculated with two methods. In the first method, the analyst has to accept a distribution function for the performance function. The other method suggested by this article is to calculate number of iterations based on the convergence of the factor the analyst is interested in the calculation. Reliability analysis will be performed for the diversion tunnel in Rrëshen, Albania, by using both methods mentioned and results will be confronted

  16. 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.

  17. 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.

  18. 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.

  19. 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.

  20. A Meta-Analysis of Effectiveness Studies on Computer Technology-Supported Language Learning

    Science.gov (United States)

    Grgurovic, Maja; Chapelle, Carol A.; Shelley, Mack C.

    2013-01-01

    With the aim of summarizing years of research comparing pedagogies for second/foreign language teaching supported with computer technology and pedagogy not-supported by computer technology, a meta-analysis was conducted of empirical research investigating language outcomes. Thirty-seven studies yielding 52 effect sizes were included, following a…

  1. Structural Analysis of Cuban Typical Model of Telecommunication Self-Supporting Towers under Seismic Load

    Directory of Open Access Journals (Sweden)

    Patricia Martín Rodríguez

    2012-07-01

    Full Text Available Self-supporting lattice towers are slender structures with low damping and high flexibility. They are sensitive to dynamic loads such as wind and earthquake. In the West of Cuba, structures should be analyzed under extreme winds and seismic effects, which raised their frequency during 2010 year. Self-supporting towers do not have the same dynamic behavior as buildings under seismic loads. Their specific structure features are not developed at design seismic codes, for that reason it is necessary to study methods of seismic analysis for self-supporting towers. The methods selected in this research are Modal Analysis Method proposed by Cuban Seismic Code (NC-46:1999 and modal superposition lineal dynamic analysis named Time History. It was selected for the study two self-supporting towers designed in Cuba, Versalles Model (3-legged and Najasa Model (4-legged. Comparative analysis between both methods is realized with extreme values of internal forces at element towers.

  2. The US Support Program Assistance to the IAEA Safeguards Information Technology, Collection, and Analysis 2008

    Energy Technology Data Exchange (ETDEWEB)

    Tackentien,J.

    2008-06-12

    One of the United States Support Program's (USSP) priorities for 2008 is to support the International Atomic Energy Agency's (IAEA) development of an integrated and efficient safeguards information infrastructure, including reliable and maintainable information systems, and effective tools and resources to collect and analyze safeguards-relevant information. The USSP has provided funding in support of this priority for the ISIS Re-engineering Project (IRP), and for human resources support to the design and definition of the enhanced information analysis architecture project (nVision). Assistance for several other information technology efforts is provided. This paper will report on the various ongoing support measures undertaken by the USSP to support the IAEA's information technology enhancements and will provide some insights into activities that the USSP may support in the future.

  3. Quantification and site-specification of the support practice factor when mapping soil erosion risk associated with olive plantations in the Mediterranean island of Crete.

    Science.gov (United States)

    Karydas, Christos G; Sekuloska, Tijana; Silleos, Georgios N

    2009-02-01

    Due to inappropriate agricultural management practices, soil erosion is becoming one of the most dangerous forms of soil degradation in many olive farming areas in the Mediterranean region, leading to significant decrease of soil fertility and yield. In order to prevent further soil degradation, proper measures are necessary to be locally implemented. In this perspective, an increase in the spatial accuracy of remote sensing datasets and advanced image analysis are significant tools necessary and efficient for mapping soil erosion risk on a fine scale. In this study, the Revised Universal Soil Loss Equation (RUSLE) was implemented in the spatial domain using GIS, while a very high resolution satellite image, namely a QuickBird image, was used for deriving cover management (C) and support practice (P) factors, in order to map the risk of soil erosion in Kolymvari, a typical olive farming area in the island of Crete, Greece. The results comprised a risk map of soil erosion when P factor was taken uniform (conventional approach) and a risk map when P factor was quantified site-specifically using object-oriented image analysis. The results showed that the QuickBird image was necessary in order to achieve site-specificity of the P factor and therefore to support fine scale mapping of soil erosion risk in an olive cultivation area, such as the one of Kolymvari in Crete. Increasing the accuracy of the QB image classification will further improve the resulted soil erosion mapping.

  4. Decision analysis interviews on protective actions in Finland supported by the RODOS system

    Energy Technology Data Exchange (ETDEWEB)

    Haemaelaeinen, R.P.; Lindstedt, M. [Helsinki Univ. of Technology, Otaniemi (Finland). System Analysis Lab.; Sinkko, K.; Ammann, M. [Radiation and Nuclear Safety Authority, Helsinki (Finland); Salo, A. [Lepolantie 54, Helsinki (Finland)

    2000-03-01

    This work was undertaken in order to study the utilisation of decision analysis interviews and of the RODOS system when planning protective actions in the case of a nuclear accident. Six decision analysis interview meetings were organised. Interviewees were competent national safety authorities and technical level decision-makers, i.e., those who are responsible for drawing up advice or making presentations of matters to decision-makers responsible for the practical implementation of the actions. The theme of the meetings was to study how uncertainties could be included in the decision-making process and whether pre-structured generic attributes and value trees would help this process and save time. The approach was to present a generic value tree, a decision table and a selected information package at the beginning of the interviews. The interviewees then examined the suggested value tree in order to ensure that no important factors have been omitted and they made changes when necessary. Also, the decision table was examined and altered by some participants and some of them asked for further information on some issues. But all in all the selected approach allowed for more time and effort to be allocated to value trade-offs and elicitation of risk attitudes. All information was calculated with the support of the RODOS system. Predefined value trees were found to ensure that all relevant factors are considered. The participants also felt that RODOS could provide the required information but, as in previous RODOS exercises, they found it more problematic to use decision analysis methods when planning countermeasures in the early phase of a nuclear accident. Furthermore, it was again noted that understanding the actual meaning 'soft' attributes, such as socio-psychological impacts, was not a straightforward issue. Consequently, the definition of attributes and training in advance would be beneficial. The incorporation of uncertainties also proved to be

  5. 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)

  6. An Exploration of Support Factors Available to Higher Education Students with High Functioning Autism or Asperger Syndrome

    Science.gov (United States)

    Rutherford, Emily N.

    2013-01-01

    This qualitative phenomenological research study used narrative inquiry to explore the support factors available to students with High Functioning Autism or Asperger Syndrome in higher education that contribute to their success as perceived by the students. Creswell's (2009) six step method for analyzing phenomenological studies was used to…

  7. Perceived Racial/Ethnic Discrimination and Adjustment among Ethnically Diverse College Students: Family and Peer Support as Protective Factors

    Science.gov (United States)

    Juang, Linda; Ittel, Angela; Hoferichter, Frances; Gallarin, Miriam

    2016-01-01

    Adopting a risk and resilience perspective, the current study examined whether family cohesion and peer support functioned as protective factors against the negative effects of racial/ethnic discrimination by peers. The sample included 142 ethnically diverse college students. The results showed that while greater perceived discrimination was…

  8. Perceived Racial/Ethnic Discrimination and Adjustment among Ethnically Diverse College Students: Family and Peer Support as Protective Factors

    Science.gov (United States)

    Juang, Linda; Ittel, Angela; Hoferichter, Frances; Gallarin, Miriam

    2016-01-01

    Adopting a risk and resilience perspective, the current study examined whether family cohesion and peer support functioned as protective factors against the negative effects of racial/ethnic discrimination by peers. The sample included 142 ethnically diverse college students. The results showed that while greater perceived discrimination was…

  9. An Exploration of Support Factors Available to Higher Education Students with High Functioning Autism or Asperger Syndrome

    Science.gov (United States)

    Rutherford, Emily N.

    2013-01-01

    This qualitative phenomenological research study used narrative inquiry to explore the support factors available to students with High Functioning Autism or Asperger Syndrome in higher education that contribute to their success as perceived by the students. Creswell's (2009) six step method for analyzing phenomenological studies was used to…

  10. Needs Assessment in STEM Disciplines: Reliability, Validity and Factor Structure of the Student Support Needs Scale (SSNS)

    Science.gov (United States)

    Hardy, Precious; Aruguete, Mara

    2014-01-01

    Retention is a major problem in most colleges and universities. High dropout rates, especially in the STEM disciplines (science, technology, engineering and mathematics), have proved intractable despite the offering of supplemental instruction. A broad model of support systems that includes psychological factors is needed to address retention in…

  11. Collaborative Learning across Physical and Virtual Worlds: Factors Supporting and Constraining Learners in a Blended Reality Environment

    Science.gov (United States)

    Bower, Matt; Lee, Mark J. W.; Dalgarno, Barney

    2017-01-01

    This article presents the outcomes of a pilot study investigating factors that supported and constrained collaborative learning in a blended reality environment. Pre-service teachers at an Australian university took part in a hybrid tutorial lesson involving a mixture of students who were co-located in the same face-to-face (F2F) classroom along…

  12. Workforce Diversity in Higher Education: Career Support Factors Influencing Ascendancy of African American Women to Senior-Level Positions

    Science.gov (United States)

    Blackstone, Tondelaya K.

    2011-01-01

    The focus of this study was how knowledge of the barriers to advancement for African American women (AAW) and key career support factors (KCSFs) influence the career advancement of African American women (AAW) to senior-level positions in higher education. The research method for this study consisted of the triangulation of evidence from multiple…

  13. Effects of Demographic Characteristics, Educational Background, and Supporting Factors on ICT Readiness of Technical and Vocational Teachers in Malaysia

    Science.gov (United States)

    Alazzam, Abu-Obaideh; Bakar, Ab Rahim; Hamzah, Ramlah; Asimiran, S.

    2012-01-01

    The aim of this study was to examine ICT readiness and the effects of demographic characteristics, educational background, and support factors on the ICT readiness of technical and vocational teachers in Malaysia. The questionnaire was administered to 329 technical and vocational teachers who are teaching engineering subjects in Malaysian…

  14. The no-project alternative analysis: An early product of the Tahoe Decision Support System

    Science.gov (United States)

    Halsing, David L.; Hessenflow, Mark L.; Wein, Anne

    2005-01-01

    We report on the development of a No-project alternative analysis (NPAA) or “business as usual” scenario with respect to a 20-year projection of 21 indicators of environmental and socioeconomic conditions in the Lake Tahoe Basin for the Tahoe Regional Planning Agency (TRPA). Our effort was inspired by earlier work that investigated the tradeoffs between an environmental and an economic objective. The NPAA study has implications for a longer term goal of building a Tahoe Decision Support System (TDSS) to assist the TRPA and other Basin agencies in assessing the outcomes of management strategies. The NPAA assumes no major deviations from current management practices or from recent environmental or societal trends and planned Environmental Improvement Program (EIP) projects. Quantitative “scenario generation” tools were constructed to simulate site-specific land uses, various population categories, and associated vehicle miles traveled. Projections of each indicator’s attainment status were made by building visual conceptual models of the relevant natural and social processes, extrapolating trends, and using available models, research, and expert opinion. We present results of the NPAA, projected indicator status, key factors affecting the indicators, indicator functionality, and knowledge gaps. One important result is that current management practices may slow the loss or degradation of environmental qualities but not halt or reverse it. Our analysis also predicts an increase in recreation and commuting into and within the basin, primarily in private vehicles. Private vehicles, which are a critical mechanism by which the Basin population affects the surrounding environment, are a key determinant of air-quality indicators, a source of particulate matter affecting Secchi depth, a source of noise, and a factor in recreational and scenic quality, largely owing to congestion. Key uncertainties in the NPAA include climate change, EIP project effectiveness, and

  15. Factors associated with home death for individuals who receive home support services: a retrospective cohort study

    Directory of Open Access Journals (Sweden)

    Bedard Michel

    2002-03-01

    Full Text Available Abstract Objectives To determine the factors associated with a home death among older adults who received palliative care nursing home services in the home. Methods The participants in this retrospective cohort study were 151 family caregivers of patients who had died approximately 9 months prior to the study telephone interview. The interview focused on the last year of life and covered two main areas, patient characteristics and informal caregiver characteristics. Results Odds ratios [OR] and 95% confidence intervals [95% CI] were used to determine which of the 15 potential informal caregiver and seven patient predictor variables were associated with dying at home. Multivariate analysis revealed that the odds of dying at home were greater when the patient lived with a caregiver [OR = 7.85; 95% CI = (2.35, 26.27], the patient stated a preference to die at home [OR= 6.51; 95% CI = (2.66,15.95], and the family physician made home visits [OR = 4.79; 95% CI = (1.97,11.64]. However the odds were lower for patients who had caregivers with fair to poor health status [OR = 0.22; 95% CI = (0.07, 0.65] and for patients who used hospital palliative care beds [OR = 0.31; 95% CI = (0.12, 0.80]. Discussion The findings suggest that individuals who indicated a preference to die at home and resided with a healthy informal caregiver had better odds of dying at home. Home visits by a family physician were also associated with dying at home.

  16. The importance of genetic and shared environmental factors for the associations between job demands, control, support and burnout.

    Directory of Open Access Journals (Sweden)

    Victoria Blom

    Full Text Available Within occupational health research, one of the most influential models is the Job Demands-Control-Support model. Numerous studies have applied the model to different domains, with both physical and psychological health outcomes, such as burnout. The twin design provides a unique and powerful research methodology for examining the effects of environmental risk factors on burnout while taking familial factors (genetic and shared environment into account. The aim of the present study was to investigate the impact of familial factors on the associations of burnout with job demands, control and support. A total of 14,516 individuals from the Swedish Twin Registry, who were born between 1959 and 1986, and who participated in the Study of Twin Adults: Genes and Environment (STAGE by responding to a web-based questionnaire in 2005, were included in the analyses. Of these, there were 5108 individuals in complete same-sex twin pairs. Co-twin control analyses were performed using linear mixed modeling, comparing between-pairs effects and within-pair effects, stratified also by zygosity and sex. The results indicate that familial factors are of importance in the association between support and burnout in both women and men, but not between job demands and burnout. There are also tendencies towards familial factors being involved in the association between control and burnout in men. These results offer increased understanding of the mechanisms involved in the associations between work stress and burnout.

  17. 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.

  18. 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.

  19. A method comparison of photovoice and content analysis: research examining challenges and supports of family caregivers.

    Science.gov (United States)

    Faucher, Mary Ann; Garner, Shelby L

    2015-11-01

    The purpose of this manuscript is to compare methods and thematic representations of the challenges and supports of family caregivers identified with photovoice methodology contrasted with content analysis, a more traditional qualitative approach. Results from a photovoice study utilizing a participatory action research framework was compared to an analysis of the audio-transcripts from that study utilizing content analysis methodology. Major similarities between the results are identified with some notable differences. Content analysis provides a more in-depth and abstract elucidation of the nature of the challenges and supports of the family caregiver. The comparison provides evidence to support the trustworthiness of photovoice methodology with limitations identified. The enhanced elaboration of theme and categories with content analysis may have some advantages relevant to the utilization of this knowledge by health care professionals. Copyright © 2015 Elsevier Inc. All rights reserved.

  20. Understanding persuasion contexts in health gamification: A systematic analysis of gamified health behavior change support systems literature.

    Science.gov (United States)

    Alahäivälä, Tuomas; Oinas-Kukkonen, Harri

    2016-12-01

    Gamification is increasingly used as a design strategy when developing behavior change support systems in the healthcare domain. It is commonly agreed that understanding the contextual factors is critical for successful gamification, but systematic analyses of the persuasive contexts have been lacking so far within gamified health intervention studies. Through a persuasion context analysis of the gamified health behavior change support systems (hBCSSs) literature, we inspect how the contextual factors have been addressed in the prior gamified health BCSS studies. The implications of this study are to provide the practitioners and researchers examples of how to conduct a systematic analysis to help guide the design and research on gamified health BCSSs. The ideas derived from the analysis of the included studies will help identify potential pitfalls and shortcomings in both the research and implementations of gamified health behavior change support systems. We systematically analyzed the persuasion contexts of 15 gamified health intervention studies. According to our results, gamified hBCSSs are implemented under different facets of lifestyle change and treatments compliance, and use a multitude of technologies and methods. We present a set of ideas and concepts to help improve endeavors in studying gamified health intervention through comprehensive understanding of the persuasive contextual factors. Future research on gamified hBCSSs should systematically compare the different combinations of contextual factors, related theories, chosen gamification strategies, and the study of outcomes to help understand how to achieve the most efficient use of gamification on the different aspects of healthcare. Analyzing the persuasion context is essential to achieve this. With the attained knowledge, those planning health interventions can choose the 'tried-and-tested' approaches for each particular situation, rather than develop solutions in an ad-hoc manner. Copyright © 2016

  1. 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…

  2. 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…

  3. 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…

  4. 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)

  5. 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…

  6. 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.

  7. 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.

  8. Confirmatory Factor Analysis of the Structure of Statistics Anxiety Measure: An Examination of Four Alternative Models

    Directory of Open Access Journals (Sweden)

    Hossein Bevrani, PhD

    2011-09-01

    Full Text Available Objective: The aim of this study is to explore the confirmatory factor analysis results of the Persian adaptation of Statistics Anxiety Measure (SAM, proposed by Earp.Method: The validity and reliability assessments of the scale were performed on 298 college students chosen randomly from Tabriz University in Iran. Confirmatory factor analysis (CFA was carried out to determine the factor structures of the Persian adaptation of SAM.Results: As expected, the second order model provided a better fit to the data than the three alternative models. Conclusions: Hence, SAM provides an equally valid measure for use among college students. The study both expands and adds support to the existing body of math anxiety literature.

  9. 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)

  10. 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....

  11. 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.

  12. TREAT Neutronics Analysis and Design Support, Part I: Multi-SERTTA

    Energy Technology Data Exchange (ETDEWEB)

    Bess, John D.; Woolstenhulme, Nicolas E.; Hill, Connie M.; Jensen, Colby B.; Snow, Spencer D.

    2016-08-01

    Experiment vehicle design is necessary in preparation for Transient Reactor Test (TREAT) facility restart and the resumption of transient testing to support Accident Tolerant Fuel (ATF) characterization and other future fuels testing requirements. Currently the most mature vehicle design is the Multi-SERTTA (Static Environments Rodlet Transient Test Apparatuses), which can accommodate up to four concurrent rodlet-sized specimens under separate environmental conditions. Robust test vehicle design requires neutronics analyses to support design development, optimization of the power coupling factor (PCF) to efficiently maximize energy generation in the test fuel rodlets, and experiment safety analyses. Calculations were performed to support analysis of a near-final design of the Multi-SERTTA vehicle, the design process for future TREAT test vehicles, and establish analytical practices for upcoming transient test experiments. Models of the Multi-SERTTA vehicle containing typical PWR-fuel rodlets were prepared and neutronics calculations were performed using MCNP6.1 with ENDF/B-VII.1 nuclear data libraries. Calculation of the PCF for reference conditions of a PWR fuel rodlet in clean water at operational temperature and pressure provided results between 1.10 and 1.74 W/g-MW depending on the location of the four Multi-SERTTA units with the stack. Basic changes to the Multi-SERTTA secondary vessel containment and support have minimal impact on PCF; using materials with less neutron absorption can improve expected PCF values, especially in the primary containment. An optimized balance is needed between structural integrity, experiment safety, and energy deposition in the experiment. Type of medium and environmental conditions within the primary vessel surrounding the fuel rodlet can also have a significant impact on resultant PCF values. The estimated reactivity insertion worth into the TREAT core is impacted more by the primary and secondary Multi-SERTTA vehicle structure

  13. Publication of clinical trials supporting successful new drug applications: a literature analysis.

    Directory of Open Access Journals (Sweden)

    Kirby Lee

    2008-09-01

    Full Text Available BACKGROUND: The United States (US Food and Drug Administration (FDA approves new drugs based on sponsor-submitted clinical trials. The publication status of these trials in the medical literature and factors associated with publication have not been evaluated. We sought to determine the proportion of trials submitted to the FDA in support of newly approved drugs that are published in biomedical journals that a typical clinician, consumer, or policy maker living in the US would reasonably search. METHODS AND FINDINGS: We conducted a cohort study of trials supporting new drugs approved between 1998 and 2000, as described in FDA medical and statistical review documents and the FDA approved drug label. We determined publication status and time from approval to full publication in the medical literature at 2 and 5 y by searching PubMed and other databases through 01 August 2006. We then evaluated trial characteristics associated with publication. We identified 909 trials supporting 90 approved drugs in the FDA reviews, of which 43% (394/909 were published. Among the subset of trials described in the FDA-approved drug label and classified as "pivotal trials" for our analysis, 76% (257/340 were published. In multivariable logistic regression for all trials 5 y postapproval, likelihood of publication correlated with statistically significant results (odds ratio [OR] 3.03, 95% confidence interval [CI] 1.78-5.17; larger sample sizes (OR 1.33 per 2-fold increase in sample size, 95% CI 1.17-1.52; and pivotal status (OR 5.31, 95% CI 3.30-8.55. In multivariable logistic regression for only the pivotal trials 5 y postapproval, likelihood of publication correlated with statistically significant results (OR 2.96, 95% CI 1.24-7.06 and larger sample sizes (OR 1.47 per 2-fold increase in sample size, 95% CI 1.15-1.88. Statistically significant results and larger sample sizes were also predictive of publication at 2 y postapproval and in multivariable Cox

  14. AN ANALYSIS OF THE LEVELS OF HEALTH CONSULTANTS’ ORGANIZATIONAL SUPPORT AND ORGANIZATIONAL CYNICISM

    Directory of Open Access Journals (Sweden)

    Abdullah SOYSAL

    2017-04-01

    Full Text Available The purpose of this study is to analyze the levels of health consultants’ organizational support (institutional, employers and colleagues and organizational cynicism, to determine whether the perceptions of organizational cynicism and organizational support change depending on certain demographic features and to find out the relationship between organizational cynicism and organizational support. The study was carried out on 67 health consultants working in a private hospital in Istanbul between the dates 05.08.2016 - 19.08.2016. One-way analysis of variance and correlation and regression are used in the data analysis. The results of the study demonstrate an organizational cynicism level at 2.44, an institutional support level at 3.22, the employers’ support level at 3.63 and colleagues’ support level at 3.50. The study indicates a significant difference between organizational support and the period of time spent in the institution. The study also shows the relationship between organizational cynicism and employer support. In addition, it is also observed in the study that organizational cynicism is affected by employers support.

  15. Analysis of Recurrence Factor of Postoperative Papillary Thyroid Cancer

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    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

  16. Factors supporting an adequate sizing of internal audit departments in the public sector

    Directory of Open Access Journals (Sweden)

    Elena Doina DASCĂLU

    2016-06-01

    By identifying the factors considered critical for the sizing of the internal audit departments, which have no equivalent (counterpart in the factors provided for in the current normative framework in Romania, the article contributes to the clarification of issues related to sizing models and procedures in the field.

  17. The Ecosystem Factor in Supporting Wiki Initiative for Knowledge Sharing in Malaysian Public Organisation

    Science.gov (United States)

    Khuzaimah, Khairil Hizar Md; Affandi, Haryanti Mohd; Hassan, Fadzil

    2015-01-01

    The purpose of this paper is to highlight the significance of considering the organizational ecosystem in implementing wikis for knowledge sharing.The findings suggest that a prerequisite of an effective wiki is the appreciation of the factors that make up the organizational ecosystem; technical and organizational factors are variable elements of…

  18. A Common Factors Approach to Supporting University Students Experiencing Psychological Distress

    Science.gov (United States)

    Surette, Tanya E.; Shier, Micheal L.

    2017-01-01

    This study empirically assessed the applicability of the common factors model to students accessing university-based counseling (n = 102). Participants rated symptoms of depression, anxiety, and somatization at intake and discharge. Therapists kept detailed session notes on client factors and therapy process variables. Data were analyzed utilizing…

  19. Confirmatory factor analysis of the Neuropsychological Assessment Battery of the LADIS study

    DEFF Research Database (Denmark)

    Moleiro, Carla; Madureira, Sofia; Verdelho, Ana

    2013-01-01

    Age-related white matter changes have been associated with cognitive functioning, even though their role is not fully understood. This work aimed to test a 3-factor model of the neuropsychological assessment battery and evaluate how the model fit the data longitudinally. Confirmatory factor...... analysis (CFA) was used to investigate the dimensions of a structured set of neuropsychological tests administered to a multicenter, international sample of independent older adults (LADIS study). Six hundred and thirty-eight older adults completed baseline neuropsychological, clinical, functional...... and motor assessments, which were repeated each year for a 3-year follow-up. CFA provided support for a 3-factor model. These factors involve the dimensions of executive functions, memory functions, and speed and motor control abilities. Performance decreased in most neuropsychological measures. Results...

  20. 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.

  1. 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.

  2. Sparse Probabilistic Parallel Factor Analysis for the Modeling of PET and Task-fMRI Data

    DEFF Research Database (Denmark)

    Beliveau, Vincent; Papoutsakis, Georgios; Hinrich, Jesper Løve

    2017-01-01

    interpretability of the results. Here we propose a variational Bayesian parallel factor analysis (VB-PARAFAC) model and an extension with sparse priors (SP-PARAFAC). Notably, our formulation admits time and subject specific noise modeling as well as subject specific offsets (i.e., mean values). We confirmed...... the validity of the models through simulation and performed exploratory analysis of positron emission tomography (PET) and functional magnetic resonance imaging (fMRI) data. Although more constrained, the proposed models performed similarly to more flexible models in approximating the PET data, which supports......Modern datasets are often multiway in nature and can contain patterns common to a mode of the data (e.g. space, time, and subjects). Multiway decomposition such as parallel factor analysis (PARAFAC) take into account the intrinsic structure of the data, and sparse versions of these methods improve...

  3. 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.

  4. Analysis of Studies on Social Support and Children of Depressed Mothers: A Systematic Review

    Directory of Open Access Journals (Sweden)

    Sonia Regina Loureiro

    2014-12-01

    Full Text Available Recognizing the conditions that minimize the impact of maternal depression on children has clinical relevance. The present review aimed to analyze recent empirical studies that have investigated the associations between maternal depression and different social support conditions for school-aged children. We systematically reviewed empirical articles indexed from 2007 to 2014 in the following databases: MEDLINE, PubMed, PsycINFO, Web of Science, LILACS and SciELO. Three keywords were used: maternal depression, social support and child behavior. Twenty-seven articles were included and analyzed. These studies included a broad range of contextual risk factors and social support conditions, and in their predictive models, it was found that less contextual risk and greater parental resources and social support were predictors of fewer problems for the children. The identification of social support sources that attenuate the effect of maternal depression on child outcomes has implications for the development of prevention and intervention programs.

  5. Mothering and anxiety: Social support and competence as mitigating factors for first-time mothers.

    Science.gov (United States)

    Chavis, Llena

    2016-07-01

    This study investigated anxiety as a phenomenon distinct from depression and evaluated several variables that influence anxiety in first-time mothers. This explored the relationship between maternal sense of competence (both of mothering and efficacy) and perceived social support (from family, friends, and significant others) and first-time mothers' postpartum anxiety, when depression, socioeconomic status (SES), and marital status were controlled for. The population studied were 86 first-time mothers made up of women with children 24 months or younger in two populations of Kentucky and Michigan. The constructs of maternal sense of competence and perceived social support were found to be significant in explaining first-time mothers' anxiety. The study concluded that a combined association of perceived social support and maternal sense of competence were associated with a 34% (change in R-squared = .339) decrease of a first-time mothers' anxiety. However, not all types of social support, or maternal competence appeared to be equally important with regards to maternal anxiety: social support from friends and family and maternal sense of competence in regard to productivity appeared to be most significant. Lastly, some recommendations for health practitioners who work with mothers are provided.

  6. SemanticSCo: a platform to support the semantic composition of services for gene expression analysis

    NARCIS (Netherlands)

    Guardia, Gabriela D.A.; Ferreira Pires, Luis; Goncalves da Silva, Eduardo; Guareis de farias, Cléver

    Gene expression studies often require the combined use of a number of analysis tools. However, manual integration of analysis tools can be cumbersome and error prone. To support a higher level of automation in the integration process, efforts have been made in the biomedical domain towards the

  7. A suite of models to support the quantitative assessment of spread in pest risk analysis

    NARCIS (Netherlands)

    Robinet, C.; Kehlenbeck, H.; Werf, van der W.

    2012-01-01

    In the frame of the EU project PRATIQUE (KBBE-2007-212459 Enhancements of pest risk analysis techniques) a suite of models was developed to support the quantitative assessment of spread in pest risk analysis. This dataset contains the model codes (R language) for the four models in the suite. Three

  8. Experimental analysis of the steady-state behaviour of beam systems with discontinuous support

    NARCIS (Netherlands)

    Vorst, E.L.B. van de; Campen, D.H. van; Kraker, A. de; Fey, R.H.B.

    1996-01-01

    This paper deals with the experimental analysis of the long-term behaviour of periodically excited linear beams supported by a one-sided spring or an elastic stop. Numerical analysis of the beams showed subharmonic, quasi-periodic and chaotic behaviour. Furthermore, in the beam system with the one-s

  9. Optical factors in the rapid analysis of captive bubbles.

    Science.gov (United States)

    Khoojinian, Hamed; Goodarzi, Jim P; Hall, Stephen B

    2012-10-01

    Bubbles and droplets offer multiple advantages over Langmuir troughs for compressing interfacial films. Experiments, however, that manipulate films to maintain constant surface tension (γ) present problems because they require feedback. Measurements of bubbles and droplets calculate γ from the shape of the interface, and calculations in real time based on finding the Laplacian shape that best fits the interface can be difficult. Faster methods obtain γ from only the height and diameter, but the bubbles and droplets rest against a solid support, which obscures one section of the interface and complicates measurements of the height. The experiments here investigated a series of optical variables that affect the visualized location of the different surfaces for captive bubbles. The pitch of the support and camera as well as the collimation of illuminating light affected the accuracy of the measured dimensions. The wavelength of illumination altered the opacity of turbid subphases and hydrated gel used to form the solid support. The width of all visualized edges depended on the spectral width and collimation of the illuminating light. The intensity of illumination had little effect on the images as long as the grayscale remained within the dynamic range of the camera. With optimization of these optical factors, the width of all edges narrowed significantly. The surfaces away from the solid support approached the infinite sharpness of the physical interface. With these changes, the grayscale at the upper interface provided the basis for locating all surfaces, which improved real-time measurements based on the height and diameter.

  10. 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.

  11. Factors Affecting Re-usage Intentions of Virtual Communities Supporting Cosmetic Products

    National Research Council Canada - National Science Library

    Jhong-Min Yang; Chien-Ta Ho; Wei-Ting Chen

    2017-01-01

    Aim/Purpose: This study uses a cosmetic virtual community (VC) as the research context and the UTAUT model as the theoretical structure aim to explore factors affecting the re-usage intentions of VC members. Background...

  12. 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.

  13. 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.

  14. 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.

  15. Recurrence quantification analysis and support vector machines for golf handicap and low back pain EMG classification.

    Science.gov (United States)

    Silva, Luís; Vaz, João Rocha; Castro, Maria António; Serranho, Pedro; Cabri, Jan; Pezarat-Correia, Pedro

    2015-08-01

    The quantification of non-linear characteristics of electromyography (EMG) must contain information allowing to discriminate neuromuscular strategies during dynamic skills. There are a lack of studies about muscle coordination under motor constrains during dynamic contractions. In golf, both handicap (Hc) and low back pain (LBP) are the main factors associated with the occurrence of injuries. The aim of this study was to analyze the accuracy of support vector machines SVM on EMG-based classification to discriminate Hc (low and high handicap) and LBP (with and without LPB) in the main phases of golf swing. For this purpose recurrence quantification analysis (RQA) features of the trunk and the lower limb muscles were used to feed a SVM classifier. Recurrence rate (RR) and the ratio between determinism (DET) and RR showed a high discriminant power. The Hc accuracy for the swing, backswing, and downswing were 94.4±2.7%, 97.1±2.3%, and 95.3±2.6%, respectively. For LBP, the accuracy was 96.9±3.8% for the swing, and 99.7±0.4% in the backswing. External oblique (EO), biceps femoris (BF), semitendinosus (ST) and rectus femoris (RF) showed high accuracy depending on the laterality within the phase. RQA features and SVM showed a high muscle discriminant capacity within swing phases by Hc and by LBP. Low back pain golfers showed different neuromuscular coordination strategies when compared with asymptomatic. Copyright © 2015 Elsevier Ltd. All rights reserved.

  16. Auditory Support in Linguistically Diverse Classrooms: Factors Related to Bilingual Text-to-Speech Use

    Science.gov (United States)

    Van Laere, E.; Braak, J.

    2017-01-01

    Text-to-speech technology can act as an important support tool in computer-based learning environments (CBLEs) as it provides auditory input, next to on-screen text. Particularly for students who use a language at home other than the language of instruction (LOI) applied at school, text-to-speech can be useful. The CBLE E-Validiv offers content in…

  17. Factors Predicting Oncology Care Providers' Behavioral Intention to Adopt Clinical Decision Support Systems

    Science.gov (United States)

    Wolfenden, Andrew

    2012-01-01

    The purpose of this quantitative correlation study was to examine the predictors of user behavioral intention on the decision of oncology care providers to adopt or reject the clinical decision support system. The Unified Theory of Acceptance and Use of Technology (UTAUT) formed the foundation of the research model and survey instrument. The…

  18. Factors Predicting Oncology Care Providers' Behavioral Intention to Adopt Clinical Decision Support Systems

    Science.gov (United States)

    Wolfenden, Andrew

    2012-01-01

    The purpose of this quantitative correlation study was to examine the predictors of user behavioral intention on the decision of oncology care providers to adopt or reject the clinical decision support system. The Unified Theory of Acceptance and Use of Technology (UTAUT) formed the foundation of the research model and survey instrument. The…

  19. Factors influencing the preparation, support and training of South African expatriates

    Directory of Open Access Journals (Sweden)

    A. J. Vogel

    2008-12-01

    Full Text Available Purpose: The purpose of this paper is to determine if the independent variables; location of an international assignment, the age of an expatriate, the duration of an assignment and the management level of an expatriate, influence the preparation, support and training that they require for an international assignment. Design/Methodology/Approach: This formal, empirical study was undertaken using an electronic questionnaire that was distributed to expatriates who were on an international assignment. Expatriates who were on an international assignment were thought to be in the best position to respond to their preparation, support and training needs. Findings: The research found that the preparation, support and training required by South African expatriates are not influenced by the location of an international assignment, the age of the expatriate, the duration of an international assignment or the management level of the expatriate. Implications: The findings highlight the fact that human resource managers of South African multinational enterprises should provide all their expatriates with the same preparation, support and training, as well as identifies five requirements that should be included in all South African expatriate policies.

  20. Factors Challenging and Supporting Scholarly Activity for Academic Staff in a Regional Australian University Environment

    Science.gov (United States)

    Hurley, John; Bowling, Alison; Griffiths, Jean; Blair, Duncan

    2015-01-01

    With expectations of academic staff to achieve high quality teaching and research outputs as performance measures it is timely to explore how staff perceive they are being supported to meet these ends. This article presents findings of a multi-method study that explored influences impacting on the quality and quantity of scholarly activity being…

  1. Assessing Individual-Level Factors Supporting Student Intrinsic Motivation in Online Discussions: A Qualitative Study

    Science.gov (United States)

    Shroff, Ronnie H.; Vogel, Douglas R.; Coombes, John

    2008-01-01

    Research has established that intrinsic motivation has a positive effect on learning and academic achievement. However, little is known about the impact of different technology-supported learning activities on student intrinsic motivation or whether such learning activities significantly enhance student intrinsic motivation compared to traditional…

  2. Social Cognitive Factors, Support, and Engagement: Early Adolescents' Math Interests as Precursors to Choice of Career

    Science.gov (United States)

    Rowan-Kenyon, Heather T.; Swan, Amy K.; Creager, Marie F.

    2012-01-01

    The authors examined the central hypothesis that students' early perceptions of support and sense of engagement in math classes and math activities strongly influence the broadening or narrowing of their math interest. The focus was on the first wave of qualitative data collected from 5th-, 7th-, and 9th-grade students during the 2007-2008…

  3. Auditory Support in Linguistically Diverse Classrooms: Factors Related to Bilingual Text-to-Speech Use

    Science.gov (United States)

    Van Laere, E.; Braak, J.

    2017-01-01

    Text-to-speech technology can act as an important support tool in computer-based learning environments (CBLEs) as it provides auditory input, next to on-screen text. Particularly for students who use a language at home other than the language of instruction (LOI) applied at school, text-to-speech can be useful. The CBLE E-Validiv offers content in…

  4. Computer-Supported Instructional Communication: A Multidisciplinary Account of Relevant Factors

    Science.gov (United States)

    Rummel, Nikol; Kramer, Nicole

    2010-01-01

    The papers in the present special issue summarize research that aims at compiling and understanding variables associated with successful communication in computer-supported instructional settings. Secondly, the papers add to the question of how adaptiveness of instructional communication may be achieved. A particular strength of the special issue…

  5. Improving the Estimates of International Space Station (ISS) Induced K-Factor Failure Rates for On-Orbit Replacement Unit (ORU) Supportability Analyses

    Science.gov (United States)

    Anderson, Leif F.; Harrington, Sean P.; Omeke, Ojei, II; Schwaab, Douglas G.

    2009-01-01

    This is a case study on revised estimates of induced failure for International Space Station (ISS) on-orbit replacement units (ORUs). We devise a heuristic to leverage operational experience data by aggregating ORU, associated function (vehicle sub -system), and vehicle effective' k-factors using actual failure experience. With this input, we determine a significant failure threshold and minimize the difference between the actual and predicted failure rates. We conclude with a discussion on both qualitative and quantitative improvements the heuristic methods and potential benefits to ISS supportability engineering analysis.

  6. 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.

  7. 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.

  8. Theory Support for the Excited Baryon Analysis Program at the JLAB 12 GeV Upgrade

    Energy Technology Data Exchange (ETDEWEB)

    Burkert, Volker; Lee, Tsung-Shung; Mokeev, Viktor; Aznauryan, Inna; Braun, Vladimir; Capstick, Simon; Cloet, Ian; Edwards, Robert; Gianinni, M.; Lin, Huey-Wen; Roberts, C.D.; Stoler, Paul; Zhao, Qiang; Zou, Bing-Song

    2009-01-01

    This document summarizes the contributions of the Electromagnetic $\\gamma_vNN^*$ Transition Form Factors workshop participants that provide theoretical support of the excited baryon program at the 12 GeV energy upgrade at JLab. The main objectives of the workshop were (a) review the status of the $\\gamma_vNN^*$ transition form factors extracted from the meson electroproduction data, (b) call for the theoretical interpretations of the extracted $N$-$N^*$ transition form factors, that enable access to the mechanisms responsible for the N* formation and to their emergence from QCD.

  9. 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.

  10. Analysis of design characteristics of a V-type support using an advanced engineering environment

    Science.gov (United States)

    Gwiazda, A.; Banaś, W.; Sękala, A.; Cwikla, G.; Topolska, S.; Foit, K.; Monica, Z.

    2017-08-01

    Modern mining support, for the entire period of their use, is the important part of the mining complex, which includes all the devices in the excavation during his normal use. Therefore, during the design of the support, it is an important task to choose the shape and to select the dimensions of a support as well as its strength characteristics. According to the rules, the design process of a support must take into account, inter alia, the type and the dimensions of the expected means of transport, the number and size of pipelines, and the type of additional equipment used excavation area. The support design must ensure the functionality of the excavation process and job security, while maintaining the economic viability of the entire project. Among others it should ensure the selection of a support for specific natural conditions. It is also important to take into consideration the economic characteristics of the project. The article presents an algorithm of integrative approach and its formalized description in the form of integration the areas of different construction characteristics optimization of a V-type mining support. The paper includes the example of its application for developing the construction of this support. In the paper is also described the results of the characteristics analysis and changings that were introduced afterwards. The support models are prepared in the computer environment of the CAD class (Siemens NX PLM). Also the analyses were conducted in this design, graphical environment.

  11. Social support and adjustment to caring for elder family members: A multi-study analysis.

    Science.gov (United States)

    Smerglia, Virginia L; Miller, Nancy B; Sotnak, Diane L; Geiss, Carrie A

    2007-03-01

    This multi-study analysis systematically examines research findings on relationships between social support and caregiver adjustment to discover whether informal support helps family caregivers. Caring for older relatives is an ongoing stressful life course event and role. Informal social support is often used as a predictor of caregiver adjustment outcomes. It is widely believed to enhance adjustment. Yet the varied research results do not necessarily support this belief. A computer-generated literature search of social sciences and medical databases produced thirty-five caregiving articles, published in refereed journals, which meet study parameters. A coding form was developed to categorize social support and adjustment variables for cross-tabular analyses. The findings show most relationships (61%) between social support and caregiver adjustment are not positively significant. Of the minority of positively significant relationships, neither perceived (available) nor received support is more important and neither instrumental nor socioemotional support is more likely to aid adjustment. Researchers and health care professionals need to explore the negative impact of social support and attributes of caregiver-care recipient relationships.

  12. Factors responsible for mortality variation in the United States: A latent variable analysis

    Directory of Open Access Journals (Sweden)

    Christopher Tencza

    2014-07-01

    Full Text Available Background: Factors including smoking, drinking, substance abuse, obesity, and health care have all been shown to affect health and longevity. The relative importance of each of these factors is disputed in the literature, and has been assessed through a number of methods. Objective: This paper uses a novel approach to identify factors responsible for interstate mortality variation. It identifies factors through their imprint on mortality patterns and can therefore identify factors that are difficult or impossible to measure directly, such as sensitive health behaviors. Methods: The analysis calculates age-standardized death rates by cause of death from 2000-2009 for white men and women separately. Only premature deaths between ages 20-64 are included. Latent variables responsible for mortality variation are then identified through a factor analysis conducted on a death-rate-by-state matrix. These unobserved latent variables are inferred from observed mortality data and interpreted based on their correlations with individual causes of death. Results: Smoking and obesity, substance abuse, and rural/urban residence are the three factors that make the largest contributions to state-level mortality variation among males. The same factors are at work for women but are less vividly revealed. The identification of factors is supported by a review of epidemiologic studies and strengthened by correlations with observable behavioral variables. Results are not sensitive to the choice of factor-analytic method used. Conclusions: The majority of interstate variation in mortality among white working-age adults in the United States is associated with a combination of smoking and obesity, substance abuse and rural/urban residence.

  13. A framework to support human factors of automation in railway intelligent infrastructure.

    Science.gov (United States)

    Dadashi, Nastaran; Wilson, John R; Golightly, David; Sharples, Sarah

    2014-01-01

    Technological and organisational advances have increased the potential for remote access and proactive monitoring of the infrastructure in various domains and sectors - water and sewage, oil and gas and transport. Intelligent Infrastructure (II) is an architecture that potentially enables the generation of timely and relevant information about the state of any type of infrastructure asset, providing a basis for reliable decision-making. This paper reports an exploratory study to understand the concepts and human factors associated with II in the railway, largely drawing from structured interviews with key industry decision-makers and attachment to pilot projects. Outputs from the study include a data-processing framework defining the key human factors at different levels of the data structure within a railway II system and a system-level representation. The framework and other study findings will form a basis for human factors contributions to systems design elements such as information interfaces and role specifications.

  14. Organic Versus Contractor Logistics Support For Depot-Level Repair: Factors That Drive Sub-Optimal Decisions

    Science.gov (United States)

    2016-02-16

    incentive. Under CLS, the vendor expects to make a profit. The amount of profit is determined by contract type ( Cost Plus , Firm Fixed Price , etc.) and...of the price calculation. In this sense, the price of the work equals the cost of the work. If the work and the labor efficiency were the same...understanding of cost and pricing motives in the maintenance support decision. Profit incentive is not the only factor influencing cost of maintenance

  15. 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.

  16. 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

  17. 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

  18. 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

  19. 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.

  20. 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.

  1. The Pet Factor - Companion Animals as a Conduit for Getting to Know People, Friendship Formation and Social Support

    Science.gov (United States)

    Wood, Lisa; Martin, Karen; Christian, Hayley; Nathan, Andrea; Lauritsen, Claire; Houghton, Steve; Kawachi, Ichiro; McCune, Sandra

    2015-01-01

    support, both of a practical and emotionally supportive nature. Given growing evidence for social isolation as a risk factor for mental health, and, conversely, friendships and social support as protective factors for individual and community well-being, pets may be an important factor in developing healthy neighborhoods. PMID:25924013

  2. The pet factor--companion animals as a conduit for getting to know people, friendship formation and social support.

    Directory of Open Access Journals (Sweden)

    Lisa Wood

    and emotionally supportive nature. Given growing evidence for social isolation as a risk factor for mental health, and, conversely, friendships and social support as protective factors for individual and community well-being, pets may be an important factor in developing healthy neighborhoods.

  3. Denotation and connotation in public representation: Semantic network analysis of Hwang supporters' internet dialogues.

    Science.gov (United States)

    Kim, Leo

    2013-04-01

    This article analyzes the internet discourses of Korean people who supported Hwang Woo Suk despite the disclosure of his scientific misconduct. During the controversial period, those who supported Hwang constructed a narrative of a fallen hero trapped by jealous rivals and an "unjust" society. The supporters' dramatized discourses compete with expert opinions of Seoul National University's Audit Board and prosecutors that investigated the scientific fraud. By introducing and applying an innovative method of semantic network analysis, this study explores how the supporters represent their personal concerns in daily life and latent social problems in South Korea, as well as the failure of science communication. In short, the supporters' internet representations connote concerns in daily life that motivated their sympathy and activism for Hwang.

  4. Family support is not a risk factor of negative self-esteem in HIV/AIDS women

    Directory of Open Access Journals (Sweden)

    Jean Valeria

    2015-04-01

    Full Text Available Background Women with HIV/AIDS (WLWHA have a complex psychosocial burden and a tendency to negative self-esteem, possibly resulting in mental and emotional problems. They need family support to deal with the HIV/AIDS infection and its psychosocial burden. The purpose of this study was to determine chacteristics of family support, self-esteem, and depression of WLWHA and the relationship between family support and self-esteem and depression. Method This was a cross-sectional study of 99 WLWHA infected through their husbands/partners, with no history of drug abuse. The data was taken by a consecutive sampling of two proportions test at Dharmais Cancer Hospital from November 2013 – January 2014. The instruments comprised a demographic questionnaire, the Rosenberg Self-Esteem questionnaire, the Hamilton Depression Rating Scale (HDRS, and a family support questionnaire. The data was analyzed by binary logistic regression. Results There were 99 respondents with mean age of 36 years, of whom 44.4% were high school graduates, 54.5% unemployed, and 91.9% had HIV/AIDS for more than a year. Binary logistic regression analysis showed no significant relationship between family support and self-esteem (p=0.700 and depression (p=0.396. Good family support has a protective effect of 1.3 times (OR=0.772; 95%CI: 0.138-3.770 towards increasing self-esteem, whereas poor family support increases the risk of depression 1.5 times (OR=1.477; 95%CI: 0.598-3.645 in WLWHA infected with HIV/AIDS from their husband/partner. Conclusions Good family support tend to have a protective effect towards increasing self-esteem, whereas poor family support increases the risk of depression in WLWHA infected with HIV/AIDS from their husband/partner.

  5. Family support is not a risk factor of negative self-esteem in HIV/AIDS women

    Directory of Open Access Journals (Sweden)

    Jean Valeria

    2016-02-01

    Full Text Available BACKGROUND Women with HIV/AIDS (WLWHA have a complex psychosocial burden and a tendency to negative self-esteem, possibly resulting in mental and emotional problems. They need family support to deal with the HIV/AIDS infection and its psychosocial burden. The purpose of this study was to determine chacteristics of family support, self-esteem, and depression of WLWHA and the relationship between family support and self-esteem and depression. METHOD This was a cross-sectional study of 99 WLWHA infected through their husbands/partners, with no history of drug abuse. The data was taken by a consecutive sampling of two proportions test at Dharmais Cancer Hospital from November 2013 – January 2014. The instruments comprised a demographic questionnaire, the Rosenberg Self-Esteem questionnaire, the Hamilton Depression Rating Scale (HDRS, and a family support questionnaire. The data was analyzed by binary logistic regression. RESULTS There were 99 respondents with mean age of 36 years, of whom 44.4% were high school graduates, 54.5% unemployed, and 91.9% had HIV/ AIDS for more than a year. Binary logistic regression analysis showed no significant relationship between family support and self-esteem (p=0.700 and depression (p=0.396. Good family support has a protective effect of 1.3 times (OR=0.772; 95%CI: 0.138-3.770 towards increasing self-esteem, whereas poor family support increases the risk of depression 1.5 times (OR=1.477; 95%CI: 0.598-3.645 in WLWHA infected with HIV/AIDS from their husband/partner. CONCLUSIONS Good family support tend to have a protective effect towards increasing self-esteem, whereas poor family support increases the risk of depression in WLWHA infected with HIV/AIDS from their husband/partner.

  6. 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.

  7. 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.

  8. 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.

  9. Mothers who formula feed: their practices, support needs and factors influencing their Infant feeding decision

    LENUS (Irish Health Repository)

    Tarrant, R C

    2013-01-01

    The majority of mothers in Ireland provide formula milk to their infants during the initial weeks postpartum; however, data are lacking on their formula feeding practices and support needs. This prospective Dublin-based observational study, which included 450 eligible mother-term infant pairs recruited and followed up to 6 months postpartum, aimed to advance our understanding of maternal formula feeding practices, their reasons for deciding to formula feed, sources of feeding information and perceived support needs; insights into infant formula milk consumption patterns in relation to current feeding guidelines are also provided. In summary, the vast majority of infants at 6 weeks were provided with formula milk (n = 368; 81.8%). Positive maternal perceptions of formula feeding were among the most frequently reported reasons underlying mothers’ decision to formula feed (e.g. convenience, 17.3%). Potential public health concerns over the large formula milk volumes consumed by infants (mean 205ml\\/kilogram\\/day) relative to infant feeding guidelines (150ml\\/kilogram\\/day) were raised from this study. Some mothers continue to add solid foods to infant bottle feeds at 6 weeks (3.8%) and 6 months (6%), a non-recommended feeding practice posing a choking risk for infants. Crucially, this study highlights the need to provide greater support and information to mothers who decide to formula feed postpartum including practical information on sterilisation and formula reconstitution. While breastfeeding promotion and research continues to be a public health priority in Ireland, addressing the support and information needs of mothers who formula feed, an underrepresented and understudied population in the literature, also needs to be considered to ensure optimal health and safety for their infants.

  10. 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…

  11. 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.

  12. DNA-support coupling for transcription factor purification. Comparison of aldehyde, cyanogen bromide and N-hydroxysuccinimide chemistries.

    Science.gov (United States)

    Chockalingam, Priya Sethu; Gadgil, Himanshu; Jarrett, Harry W

    2002-01-04

    Purification of transcription factor IIIA on internal control region DNA coupled to aldehyde-silica is described and compared with purification on cyanogen bromide-activated Sepharose and Bio-Rad Affi-Gel-10. The Affi-Gel support results in mixed-mode chromatography; both ion-exchange and affinity modes contribute. Coupling DNA to aldehyde-silica is advantageous in that it has no ion-exchange properties and performs as well as DNA coupled to CNBr-activated Sepharose. Purification of lac repressor on aldehyde-silica, and CAAT enhancer binding protein on Affi-Gel also shows the advantages of a neutral support and the disadvantages of mixed-mode chromatography for transcription factor purification. Aldehyde-silica couples to alkylamines and to the amines of adenine, guanine, and cytosine nucleoside bases. Reaction occurs with either single- or double-stranded DNA, although it is less efficient with the latter. Overall, the results demonstrate that predominantly neutral coupling chemistries, such as aldehyde or CNBr-mediated coupling, have distinct advantages for transcription factor purification. Since the CNBr chemistry has not yet been applied to silica supports, aldehyde-silica coupling is currently the most attractive method for DNA affinity HPLC.

  13. 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.

  14. SemanticSCo: A platform to support the semantic composition of services for gene expression analysis.

    Science.gov (United States)

    Guardia, Gabriela D A; Ferreira Pires, Luís; da Silva, Eduardo G; de Farias, Cléver R G

    2017-02-01

    Gene expression studies often require the combined use of a number of analysis tools. However, manual integration of analysis tools can be cumbersome and error prone. To support a higher level of automation in the integration process, efforts have been made in the biomedical domain towards the development of semantic web services and supporting composition environments. Yet, most environments consider only the execution of simple service behaviours and requires users to focus on technical details of the composition process. We propose a novel approach to the semantic composition of gene expression analysis services that addresses the shortcomings of the existing solutions. Our approach includes an architecture designed to support the service composition process for gene expression analysis, and a flexible strategy for the (semi) automatic composition of semantic web services. Finally, we implement a supporting platform called SemanticSCo to realize the proposed composition approach and demonstrate its functionality by successfully reproducing a microarray study documented in the literature. The SemanticSCo platform provides support for the composition of RESTful web services semantically annotated using SAWSDL. Our platform also supports the definition of constraints/conditions regarding the order in which service operations should be invoked, thus enabling the definition of complex service behaviours. Our proposed solution for semantic web service composition takes into account the requirements of different stakeholders and addresses all phases of the service composition process. It also provides support for the definition of analysis workflows at a high-level of abstraction, thus enabling users to focus on biological research issues rather than on the technical details of the composition process. The SemanticSCo source code is available at https://github.com/usplssb/SemanticSCo. Copyright © 2017 Elsevier Inc. All rights reserved.

  15. 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.

  16. Space and Earth Sciences, Computer Systems, and Scientific Data Analysis Support, Volume 1

    Science.gov (United States)

    Estes, Ronald H. (Editor)

    1993-01-01

    This Final Progress Report covers the specific technical activities of Hughes STX Corporation for the last contract triannual period of 1 June through 30 Sep. 1993, in support of assigned task activities at Goddard Space Flight Center (GSFC). It also provides a brief summary of work throughout the contract period of performance on each active task. Technical activity is presented in Volume 1, while financial and level-of-effort data is presented in Volume 2. Technical support was provided to all Division and Laboratories of Goddard's Space Sciences and Earth Sciences Directorates. Types of support include: scientific programming, systems programming, computer management, mission planning, scientific investigation, data analysis, data processing, data base creation and maintenance, instrumentation development, and management services. Mission and instruments supported include: ROSAT, Astro-D, BBXRT, XTE, AXAF, GRO, COBE, WIND, UIT, SMM, STIS, HEIDI, DE, URAP, CRRES, Voyagers, ISEE, San Marco, LAGEOS, TOPEX/Poseidon, Pioneer-Venus, Galileo, Cassini, Nimbus-7/TOMS, Meteor-3/TOMS, FIFE, BOREAS, TRMM, AVHRR, and Landsat. Accomplishments include: development of computing programs for mission science and data analysis, supercomputer applications support, computer network support, computational upgrades for data archival and analysis centers, end-to-end management for mission data flow, scientific modeling and results in the fields of space and Earth physics, planning and design of GSFC VO DAAC and VO IMS, fabrication, assembly, and testing of mission instrumentation, and design of mission operations center.

  17. Seismic Response Analysis of Long-Span Suspen-Dome under Multi-Support Excitations

    Institute of Scientific and Technical Information of China (English)

    陈志华; 乔文涛; 王小盾

    2010-01-01

    A practical suspen-dome project, Changzhou Gym roof, is adopted as an example and its transient analysis based on the multi-support excitations of the earthquake wave is carried out. Compared with the single support excitation, the position and value of the maximum stress under multi-support excitations both change and the amount of elements with obvious changes is large and more than 70% of the total. Moreover, when other terms are not changed, this influence will decrease as the span decreases, but increa...

  18. Analysis of surface error correction capability of 1.2m active support system

    Science.gov (United States)

    Han, Yu; Fan, Bin; Li, Chaoqiang; Liu, Haitao

    2016-10-01

    The surface error correction ability is one of the important indicators to measure the performance of the active support system. In this paper, the correction force algorithm for the active support system of 1.2m thin meniscus mirror is introduced. Based on this algorithm, a simulation analysis is made. The simulation results show that the 1.2m active support system has excellent correction ability for Zernike polynomials term 4, 5, 6, 10 and 11, and has a good effect on the Zernike polynomials term 7 and 8.

  19. LANL Institutional Decision Support By Process Modeling and Analysis Group (AET-2)

    Energy Technology Data Exchange (ETDEWEB)

    Booth, Steven Richard [Los Alamos National Laboratory

    2016-04-04

    AET-2 has expertise in process modeling, economics, business case analysis, risk assessment, Lean/Six Sigma tools, and decision analysis to provide timely decision support to LANS leading to continuous improvement. This capability is critical during the current tight budgetary environment as LANS pushes to identify potential areas of cost savings and efficiencies. An important arena is business systems and operations, where processes can impact most or all laboratory employees. Lab-wide efforts are needed to identify and eliminate inefficiencies to accomplish Director McMillan’s charge of “doing more with less.” LANS faces many critical and potentially expensive choices that require sound decision support to ensure success. AET-2 is available to provide this analysis support to expedite the decisions at hand.

  20. 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.