WorldWideScience

Sample records for factor effect analysis

  1. 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…

  2. Effects of prosodic factors on spectral dynamics. I. Analysis

    Science.gov (United States)

    Wouters, Johan; Macon, Michael W.

    2002-01-01

    The effects of prosodic factors on the spectral rate of change of vowel transitions are investigated. Thirty two-syllable English words are placed in carrier phrases and read by a single speaker. Liquid-vowel, diphthong, and vowel-liquid transitions are extracted from different prosodic contexts, corresponding to different levels of stress, pitch accent, word position, and speaking style, following a balanced experimental design. The spectral rate of change in these transitions is measured by fitting linear regression lines to the first three formants and computing the root-mean-square of the slopes. Analysis shows that the spectral rate of change increases with linguistic prominence, i.e., in stressed syllables, in accented words, in sentence-medial words, and in hyperarticulated speech. The results are consistent with a contextual view of vowel reduction, where the extent of reduction depends both on the spectral rate of change and on vowel duration. A numerical model of spectral rate of change is proposed, which can be integrated in a system for concatenative speech synthesis, as discussed in Paper II [J. Wouters and M. Macon, J. Acoust. Soc. Am. 111, 428-438 (2002)].

  3. Analysis of the effect of meteorological factors on dewfall

    International Nuclear Information System (INIS)

    Xiao, Huijie; Meissner, Ralph; Seeger, Juliane; Rupp, Holger; Borg, Heinz; Zhang, Yuqing

    2013-01-01

    To get an insight into when dewfall will occur and how much to expect we carried out extensive calculations with the energy balance equation for a crop surface to 1) identify the meteorological factors which determine dewfall, 2) establish the relationship between dewfall and each of them, and 3) analyse how these relationships are influenced by changes in these factors. The meteorological factors which determine dewfall were found to be air temperature (T a ), cloud cover (N), wind speed (u), soil heat flux (G), and relative humidity (h r ). Net radiation is also a relevant factor. We did not consider it explicitly, but indirectly through the effect of temperature on the night-time radiation balance. The temperature of the surface (T s ) where dew forms on is also important. However, it is not a meteorological factor, but determined by the aforementioned parameters. All other conditions being equal our study revealed that dewfall increases linearly with decreasing N or G, and with increasing h r . The effect of T a and u on dewfall is non-linear: dewfall initially increases with increasing T a or u, and then decreases. All five meteorological factors can lead to variations in dewfall between 0 and 25 W m −2 over the range of their values we studied. The magnitude of the variation due to one factor depends on the value of the others. Dewfall is highest at N = 0, G = 0, and h r = 1. T a at which dewfall is highest depends on u and vice versa. The change in dewfall for a unit change in N, G or h r is not affected by the value of N, G or h r , but increases as T a or u increase. The change in dewfall for a unit change in T a or u depends on the value of the other four meteorological factors. - Highlights: • Process of dewfall is examined for a wide range of meteorological conditions. • Effect of meteorological factors on dewfall is individually elucidated. • Interaction between factors and their combined effect on dewfall is assessed. • Extensive

  4. Factor Analysis of Drawings: Application to College Student Models of the Greenhouse Effect

    Science.gov (United States)

    Libarkin, Julie C.; Thomas, Stephen R.; Ording, Gabriel

    2015-01-01

    Exploratory factor analysis was used to identify models underlying drawings of the greenhouse effect made by over 200 entering university freshmen. Initial content analysis allowed deconstruction of drawings into salient features, with grouping of these features via factor analysis. A resulting 4-factor solution explains 62% of the data variance,…

  5. Meta-Analysis of Comparing Personal and Environmental Factors Effective in Addiction Relapse (Iran, 2004 -2012

    Directory of Open Access Journals (Sweden)

    s Safari

    2014-12-01

    Full Text Available Objective: This As a meta-analysis, this study aimed to integrate different studies and investigate the impact of individual and environmental factors on the reappearance of addiction in quitted people. Method: This study is a meta-analysis which uses Hunter and Schmidt approach. For this purpose, 28 out of 42 studies enjoying acceptable methodologies were selected, upon which the meta-analysis was conducted. A meta-analysis checklist was the research instrument. Using summary of the study results, the researcher manually calculated effect size and interpreted it based on the meta-analysis approach and Cohen’s table. Findings: Results revealed that the effect size of environmental factors on addiction relapse was 0.64 while it was obtained 0.41 for individual factors on addiction relapse. Conclusion: According to Cohen’s table, the effect sizes are evaluated as moderate and high for individual factors and environmental factors on addiction relapse, respectively.

  6. The consequence of ignoring a nested factor on measures of effect size in analysis of variance.

    Science.gov (United States)

    Wampold, B E; Serlin, R C

    2000-12-01

    Although the consequences of ignoring a nested factor on decisions to reject the null hypothesis of no treatment effects have been discussed in the literature, typically researchers in applied psychology and education ignore treatment providers (often a nested factor) when comparing the efficacy of treatments. The incorrect analysis, however, not only invalidates tests of hypotheses, but it also overestimates the treatment effect. Formulas were derived and a Monte Carlo study was conducted to estimate the degree to which the F statistic and treatment effect size measures are inflated by ignoring the effects due to providers of treatments. These untoward effects are illustrated with examples from psychotherapeutic treatments.

  7. The effects of community environmental factors on obesity among Korean adults: a multilevel analysis

    Directory of Open Access Journals (Sweden)

    Nan-He Yoon

    2014-12-01

    Full Text Available OBJECTIVES: This study explored multidimensional factors related to obesity by dividing them into individual and environmental factors, and performed multilevel analysis to investigate community environmental effects. METHODS: Data from the 2011 and 2012 Community Health Surveys were used for the analysis. Community-level variables, constructed from various regional statistics, were included in the model as environmental factors. Respondents with body mass index (BMI≥25 were defined as obese, and a multilevel logistic regression analysis was conducted to analyze individual and environmental factors related to obesity. Moreover, a stratified analysis was conducted to compare factors related to obesity between men and women. RESULTS: Of 337,136 samples, 82,887 (24.6% were obese, with BMI≥25. Sociodemographic characteristics at the individual level were mostly significantly related to obesity; however, while there were more obese men subjects among those with high socioeconomic status, there were more obese women among those with low socioeconomic status. There were fewer obese respondents among those who regularly walked and more obese respondents among those who reported short sleep duration or were highly stressed. At the community level, people living in areas with high socioeconomic status, high satisfaction with safety and public transportation, and high accessibility to sports facilities in their community had lower obesity risks. CONCLUSIONS: Community-level environmental factors affected obesity, especially perceived community environment, more significant than physical environment. Thus, it is necessary to develop effective obesity prevention and management strategies by considering potential community environmental factors that affect obesity.

  8. The Effect of Auxiliary Variables and Multiple Imputation on Parameter Estimation in Confirmatory Factor Analysis

    Science.gov (United States)

    Yoo, Jin Eun

    2009-01-01

    This Monte Carlo study investigates the beneficiary effect of including auxiliary variables during estimation of confirmatory factor analysis models with multiple imputation. Specifically, it examines the influence of sample size, missing rates, missingness mechanism combinations, missingness types (linear or convex), and the absence or presence…

  9. Effect of abiotic and biotic stress factors analysis using machine learning methods in zebrafish.

    Science.gov (United States)

    Gutha, Rajasekar; Yarrappagaari, Suresh; Thopireddy, Lavanya; Reddy, Kesireddy Sathyavelu; Saddala, Rajeswara Reddy

    2018-03-01

    In order to understand the mechanisms underlying stress responses, meta-analysis of transcriptome is made to identify differentially expressed genes (DEGs) and their biological, molecular and cellular mechanisms in response to stressors. The present study is aimed at identifying the effect of abiotic and biotic stress factors, and it is found that several stress responsive genes are common for both abiotic and biotic stress factors in zebrafish. The meta-analysis of micro-array studies revealed that almost 4.7% i.e., 108 common DEGs are differentially regulated between abiotic and biotic stresses. This shows that there is a global coordination and fine-tuning of gene regulation in response to these two types of challenges. We also performed dimension reduction methods, principal component analysis, and partial least squares discriminant analysis which are able to segregate abiotic and biotic stresses into separate entities. The supervised machine learning model, recursive-support vector machine, could classify abiotic and biotic stresses with 100% accuracy using a subset of DEGs. Beside these methods, the random forests decision tree model classified five out of 8 stress conditions with high accuracy. Finally, Functional enrichment analysis revealed the different gene ontology terms, transcription factors and miRNAs factors in the regulation of stress responses. Copyright © 2017 Elsevier Inc. All rights reserved.

  10. Factor Analysis of Drawings: Application to college student models of the greenhouse effect

    Science.gov (United States)

    Libarkin, Julie C.; Thomas, Stephen R.; Ording, Gabriel

    2015-09-01

    Exploratory factor analysis was used to identify models underlying drawings of the greenhouse effect made by over 200 entering university freshmen. Initial content analysis allowed deconstruction of drawings into salient features, with grouping of these features via factor analysis. A resulting 4-factor solution explains 62% of the data variance, suggesting that 4 archetype models of the greenhouse effect dominate thinking within this population. Factor scores, indicating the extent to which each student's drawing aligned with representative models, were compared to performance on conceptual understanding and attitudes measures, demographics, and non-cognitive features of drawings. Student drawings were also compared to drawings made by scientists to ascertain the extent to which models reflect more sophisticated and accurate models. Results indicate that student and scientist drawings share some similarities, most notably the presence of some features of the most sophisticated non-scientific model held among the study population. Prior knowledge, prior attitudes, gender, and non-cognitive components are also predictive of an individual student's model. This work presents a new technique for analyzing drawings, with general implications for the use of drawings in investigating student conceptions.

  11. Examining the effect of the injury definition on risk factor analysis in circus artists.

    Science.gov (United States)

    Hamilton, G M; Meeuwisse, W H; Emery, C A; Shrier, I

    2012-06-01

    A secondary data analysis of a prospective cohort study was conducted to explore how different definitions of injury affect the results of risk factor analyses. Modern circus artists (n=1281) were followed for 828,547 performances over a period of 49 months (2004-2008). A univariate risk factor analysis (age, sex, nationality, artist role) estimating incidence rate ratios (IRR) with 95% confidence intervals (95% CI) was conducted using three injury definitions: (1) medical attention injuries, (2) time-loss injuries resulting in ≥1 missed performances (TL-1) and (3) time-loss injuries resulting in >15 missed performances (TL-15). Results of the risk factor analysis were dependent on the injury definition. Sex (females to male; IRR=1.13, 95% CI; 1.02-1.25) and age over 30 (30 years; IRR=1.37, 95% CI; 1.07-1.79) were risk factors for medical attention injuries only. Risk of injury for Europeans compared with North Americans was higher for TL-1 and TL-15 injuries compared with medical attention injuries. Finally, non-sudden load artists (low-impact acts) were less likely than sudden load artists (high-impact acts) to have TL-1 injuries, but the risk of medical attention injuries was similar. The choice of injury definition can have effects on the magnitude and direction of risk factor analyses. © 2010 John Wiley & Sons A/S.

  12. Factor Analysis via Components Analysis

    Science.gov (United States)

    Bentler, Peter M.; de Leeuw, Jan

    2011-01-01

    When the factor analysis model holds, component loadings are linear combinations of factor loadings, and vice versa. This interrelation permits us to define new optimization criteria and estimation methods for exploratory factor analysis. Although this article is primarily conceptual in nature, an illustrative example and a small simulation show…

  13. Factors affecting public prejudice and social distance on mental illness: analysis of contextual effect by multi-level analysis.

    Science.gov (United States)

    Jang, Hyeongap; Lim, Jun-Tae; Oh, Juhwan; Lee, Seon-Young; Kim, Yong-Ik; Lee, Jin-Seok

    2012-03-01

    While there have been many quantitative studies on the public's attitude towards mental illnesses, it is hard to find quantitative study which focused on the contextual effect on the public's attitude. The purpose of this study was to identify factors that affect the public's beliefs and attitudes including contextual effects. We analyzed survey on the public's beliefs and attitudes towards mental illness in Korea with multi-level analysis. We analyzed the public's beliefs and attitudes in terms of prejudice as an intermediate outcome and social distance as a final outcome. Then, we focused on the associations of factors, which were individual and regional socio-economic factors, familiarity, and knowledge based on the comparison of the intermediate and final outcomes. Prejudice was not explained by regional variables but was only correlated with individual factors. Prejudice increased with age and decreased by high education level. However, social distance controlling for prejudice increased in females, in people with a high education level, and in regions with a high education level and a high proportion of the old. Therefore, social distance without controlling for prejudice increased in females, in the elderly, in highly educated people, and in regions with a high education and aged community. The result of the multi-level analysis for the regional variables suggests that social distance for mental illness are not only determined by individual factors but also influenced by the surroundings so that it could be tackled sufficiently with appropriate considering of the relevant regional context with individual characteristics.

  14. Interactive effects of global change factors on soil respiration and its components: a meta-analysis.

    Science.gov (United States)

    Zhou, Lingyan; Zhou, Xuhui; Shao, Junjiong; Nie, Yuanyuan; He, Yanghui; Jiang, Liling; Wu, Zhuoting; Hosseini Bai, Shahla

    2016-09-01

    As the second largest carbon (C) flux between the atmosphere and terrestrial ecosystems, soil respiration (Rs) plays vital roles in regulating atmospheric CO2 concentration ([CO2 ]) and climatic dynamics in the earth system. Although numerous manipulative studies and a few meta-analyses have been conducted to determine the responses of Rs and its two components [i.e., autotrophic (Ra) and heterotrophic (Rh) respiration] to single global change factors, the interactive effects of the multiple factors are still unclear. In this study, we performed a meta-analysis of 150 multiple-factor (≥2) studies to examine the main and interactive effects of global change factors on Rs and its two components. Our results showed that elevated [CO2 ] (E), nitrogen addition (N), irrigation (I), and warming (W) induced significant increases in Rs by 28.6%, 8.8%, 9.7%, and 7.1%, respectively. The combined effects of the multiple factors, EN, EW, DE, IE, IN, IW, IEW, and DEW, were also significantly positive on Rs to a greater extent than those of the single-factor ones. For all the individual studies, the additive interactions were predominant on Rs (90.6%) and its components (≈70.0%) relative to synergistic and antagonistic ones. However, the different combinations of global change factors (e.g., EN, NW, EW, IW) indicated that the three types of interactions were all important, with two combinations for synergistic effects, two for antagonistic, and five for additive when at least eight independent experiments were considered. In addition, the interactions of elevated [CO2 ] and warming had opposite effects on Ra and Rh, suggesting that different processes may influence their responses to the multifactor interactions. Our study highlights the crucial importance of the interactive effects among the multiple factors on Rs and its components, which could inform regional and global models to assess the climate-biosphere feedbacks and improve predictions of the future states of the

  15. Analysis of human factors effects on the safety of transporting radioactive waste materials: Technical report

    Energy Technology Data Exchange (ETDEWEB)

    Abkowitz, M.D.; Abkowitz, S.B.; Lepofsky, M.

    1989-04-01

    This report examines the extent of human factors effects on the safety of transporting radioactive waste materials. It is seen principally as a scoping effort, to establish whether there is a need for DOE to undertake a more formal approach to studying human factors in radioactive waste transport, and if so, logical directions for that program to follow. Human factors effects are evaluated on driving and loading/transfer operations only. Particular emphasis is placed on the driving function, examining the relationship between human error and safety as it relates to the impairment of driver performance. Although multi-modal in focus, the widespread availability of data and previous literature on truck operations resulted in a primary study focus on the trucking mode from the standpoint of policy development. In addition to the analysis of human factors accident statistics, the report provides relevant background material on several policies that have been instituted or are under consideration, directed at improving human reliability in the transport sector. On the basis of reported findings, preliminary policy areas are identified. 71 refs., 26 figs., 5 tabs.

  16. Sparse Exploratory Factor Analysis.

    Science.gov (United States)

    Trendafilov, Nickolay T; Fontanella, Sara; Adachi, Kohei

    2017-07-13

    Sparse principal component analysis is a very active research area in the last decade. It produces component loadings with many zero entries which facilitates their interpretation and helps avoid redundant variables. The classic factor analysis is another popular dimension reduction technique which shares similar interpretation problems and could greatly benefit from sparse solutions. Unfortunately, there are very few works considering sparse versions of the classic factor analysis. Our goal is to contribute further in this direction. We revisit the most popular procedures for exploratory factor analysis, maximum likelihood and least squares. Sparse factor loadings are obtained for them by, first, adopting a special reparameterization and, second, by introducing additional [Formula: see text]-norm penalties into the standard factor analysis problems. As a result, we propose sparse versions of the major factor analysis procedures. We illustrate the developed algorithms on well-known psychometric problems. Our sparse solutions are critically compared to ones obtained by other existing methods.

  17. A probabilistic analysis method to evaluate the effect of human factors on plant safety

    International Nuclear Information System (INIS)

    Ujita, H.

    1987-01-01

    A method to evaluate the effect of human factors on probabilistic safety analysis (PSA) is developed. The main features of the method are as follows: 1. A time-dependent multibranch tree is constructed to treat time dependency of human error probability. 2. A sensitivity analysis is done to determine uncertainty in the PSA due to branch time of human error occurrence, human error data source, extraneous act probability, and human recovery probability. The method is applied to a large-break, loss-of-coolant accident of a boiling water reactor-5. As a result, core melt probability and risk do not depend on the number of time branches, which means that a small number of branches are sufficient. These values depend on the first branch time and the human error probability

  18. ANALYSIS OF THE EFFECT OF MARKET STABILITY FACTORS ON THE CHANGES IN SHARE PRICE

    Directory of Open Access Journals (Sweden)

    Виктор Геннадьевич Семенов

    2013-09-01

    Full Text Available According to fundamental analysis, share price tends to its intrinsic value. An appreciably large body of research has been devoted to foreign stock markets; meanwhile, the Russian stock market has been studied insufficiently. The hypothesis of fundamental analysis of the Russian stock market was tested in this paper. The effect of market stability factors (P/E; P/B; P/CF; P/D on changes in share prices was studied. The data from the financial reports on IFRS – GAAP and the data on share prices of 54 companies over the period of 2003–2013 were used. The results give grounds for claiming that the postulates of fundamental analysis cannot be used for the Russian stock market: the market stability factors do not correlate with the changes in share prices. Next, the possible reasons for this speculative behavior of the Russian stock market were considered. The methods for analyzing the reports and the financial and economic situation in order to determine the company value were proposed in this paper.DOI: http://dx.doi.org/10.12731/2218-7405-2013-9-5

  19. Simulating the Effects of Common and Specific Abilities on Test Performance: An Evaluation of Factor Analysis

    Science.gov (United States)

    McFarland, Dennis J.

    2014-01-01

    Purpose: Factor analysis is a useful technique to aid in organizing multivariate data characterizing speech, language, and auditory abilities. However, knowledge of the limitations of factor analysis is essential for proper interpretation of results. The present study used simulated test scores to illustrate some characteristics of factor…

  20. 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...

  1. Factors affecting construction performance: exploratory factor analysis

    Science.gov (United States)

    Soewin, E.; Chinda, T.

    2018-04-01

    The present work attempts to develop a multidimensional performance evaluation framework for a construction company by considering all relevant measures of performance. Based on the previous studies, this study hypothesizes nine key factors, with a total of 57 associated items. The hypothesized factors, with their associated items, are then used to develop questionnaire survey to gather data. The exploratory factor analysis (EFA) was applied to the collected data which gave rise 10 factors with 57 items affecting construction performance. The findings further reveal that the items constituting ten key performance factors (KPIs) namely; 1) Time, 2) Cost, 3) Quality, 4) Safety & Health, 5) Internal Stakeholder, 6) External Stakeholder, 7) Client Satisfaction, 8) Financial Performance, 9) Environment, and 10) Information, Technology & Innovation. The analysis helps to develop multi-dimensional performance evaluation framework for an effective measurement of the construction performance. The 10 key performance factors can be broadly categorized into economic aspect, social aspect, environmental aspect, and technology aspects. It is important to understand a multi-dimension performance evaluation framework by including all key factors affecting the construction performance of a company, so that the management level can effectively plan to implement an effective performance development plan to match with the mission and vision of the company.

  2. Evaluation of effective factors on low birth weight neonates' mortality using path analysis

    Directory of Open Access Journals (Sweden)

    Babaee Gh

    2008-06-01

    Full Text Available Background: This study have conducted in order to determine of direct or indirect effective factors on mortality of neonates with low birth weight by path analysis.Methods: In this cohort study 445 paired mothers and their neonates were participated in Tehran city. The data were gathered through an answer sheet contain mother age, gestational age, apgar score, pregnancy induced hypertension (PIH and birth weight. Sampling was convenience and neonates of women were included in this study who were referred to 15 government and private hospitals in Tehran city. Live being status of neonates was determined until 24 hours after delivery.Results: The most changes in mortality rate is related to birth weight and its negative score means that increasing in weight leads to increase chance of live being. Second score is related to apgar sore and its negative score means that increasing in apgar score leads to decrease chance of neonate death. Third score is gestational age and its negative score means that increasing in weight leads to increase chance of live being. The less changes in mortality rate is due to hypertensive disorders in pregnancy.Conclusion: The methodology has been used could be adopted in other investigations to distinguish and measuring effect of predictive factors on the risk of an outcome.

  3. Factors related to the effectiveness of variable stiffness colonoscope: results of a multivariate analysis

    Directory of Open Access Journals (Sweden)

    Javier Sola-Vera

    2014-01-01

    Full Text Available Background: Various studies and two meta-analysis have shown that a variable stiffness colonoscope improves cecal intubation rate. However, there are few studies on how this colonoscope should be used. Objective: The aim of this study was to identify factors related to the advancement of the colonoscope when the variable stiffness function is activated. Methods: Prospective study enrolling consecutive patients referred for colonoscopy. The variable stiffness colonoscope (Olympus CF-H180DI/L® was used. We performed univariate and multivariate analyses of factors associated with the success of the variable stiffness function. Results: After the data inclusion period, 260 patients were analyzed. The variable stiffness function was used most in the proximal colon segments (ascending and transverse colon 85 %; descending/sigmoid colon 15.2 %. The body mass index was lower in patients in whom the endoscope advanced after activating the variable stiffness than those in which it could not be advanced (25.9 ± 4.8 vs. 28.3 ± 5.4 kg/m², p = 0.009. The endoscope advanced less frequently when the stiffness function was activated in the ascending colon versus activation in other segments of the colon (25 % vs. 64.5 % ascending colon vs. other segments; p < 0.05. In the multivariate analysis, only the colon segment in which the variable stiffness was activated was an independent predictor of advancement of the colonoscope. Conclusions: The variable stiffness function is effective, allowing the colonoscope advancement especially when applied in the transverse colon, descending colon and sigmoid. However, when used in the ascending colon it has a lower effectiveness.

  4. Bayesian Exploratory Factor Analysis

    Science.gov (United States)

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

    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 from a high dimensional set of psychological measurements. PMID:25431517

  5. Exploratory Bi-Factor Analysis

    Science.gov (United States)

    Jennrich, Robert I.; Bentler, Peter M.

    2011-01-01

    Bi-factor analysis is a form of confirmatory factor analysis originally introduced by Holzinger. The bi-factor model has a general factor and a number of group factors. The purpose of this article is to introduce an exploratory form of bi-factor analysis. An advantage of using exploratory bi-factor analysis is that one need not provide a specific…

  6. Factor analysis and scintigraphy

    International Nuclear Information System (INIS)

    Di Paola, R.; Penel, C.; Bazin, J.P.; Berche, C.

    1976-01-01

    The goal of factor analysis is usually to achieve reduction of a large set of data, extracting essential features without previous hypothesis. Due to the development of computerized systems, the use of largest sampling, the possibility of sequential data acquisition and the increase of dynamic studies, the problem of data compression can be encountered now in routine. Thus, results obtained for compression of scintigraphic images were first presented. Then possibilities given by factor analysis for scan processing were discussed. At last, use of this analysis for multidimensional studies and specially dynamic studies were considered for compression and processing [fr

  7. An Exploratory Analysis on the Effects of Human Factors on Combat Outcomes

    National Research Council Canada - National Science Library

    Ching, Wan

    2002-01-01

    .... Modern combat systems are increasingly more effective yet more complex to operate. Nonetheless, their complexities cannot be compared to human behaviors which remain the most important factor in combat...

  8. A Factor Analysis of ICT Use and Its Effects in Agricultural Corporation

    OpenAIRE

    竹内, 重吉; 南石, 晃明; Takechi, Shigeyoshi; Nanseki, Teruaki

    2013-01-01

    In recent years, information and communication technology develops and ICT is utilized for production control, personnel training and the like in agricultural production. However, there are few papers studied about the factor of ICT use and its effects in agricultural corporation. In this paper, the factor which influences the ICT use and its effect in agricultural corporation was clarified quantitatively by logit model based on the nationwide questionnaire survey. As the result, ICT use and ...

  9. Assessment of Effective Factor of Hydrogen Diffusion Equation Using FE Analysis

    International Nuclear Information System (INIS)

    Kim, Nak Hyun; Oh, Chang Sik; Kim, Yun Jae

    2010-01-01

    The coupled model with hydrogen transport and elasto-plasticity behavior was introduced. In this paper, the effective factor of the hydrogen diffusion equation has been described. To assess the effective factor, finite element (FE) analyses including hydrogen transport and mechanical loading for boundary layer specimens with low-strength steel properties are carried out. The results of the FE analyses are compared with those from previous studies conducted by Taha and Sofronis (2001)

  10. Quantifying abortion rates of reproductive organs and effects of contributing factors using time-to-event analysis

    NARCIS (Netherlands)

    Wubs, A.M.; Heuvelink, E.; Marcelis, L.F.M.; Hemerik, L.

    2011-01-01

    Time-to-event analysis, or survival analysis, is a method to analyse the timing of events and to quantify the effects of contributing factors. We apply this method to data on the timing of abortion of reproductive organs. This abortion often depends on source and sink strength. We hypothesise that

  11. [Effect of iliolumbar fixation in patients with Tile C pelvic injury and analysis of relative factors].

    Science.gov (United States)

    Ge, Zhenxin; Wang, Ben; Zhang, Dongzheng; Liu, Zhaojie; Zhang, Yinguang; Jia, Jian

    2012-11-01

    To explore the relative prognostic factors of Tile C pelvic injury after iliolumbar fixation. Between March 2007 and March 2010, 60 patients with Tile C pelvic injuries were surgically treated with iliolumbar fixation, including 39 males and 21 females with an average age of 37 years (range, 17-66 years). Of them, 27 cases were classified as Tile C1, 20 as Tile C2, and 13 as Tile C3. The preoperative injury severity score (ISS) was 12-66 (mean, 29.4). The time from injury to surgery was 2-25 days (mean, 8.1 days). Iliolumbar fixation was performed in all patients. Unconditional logistic analysis was used to analyze the relationship between the age, sex, body mass index (BMI), operation opportunity, the preoperative combined injury, classification of fracture, the postoperative complication, reduction outcome, sacral nerve injury, and the time of physical exercise and the prognosis. All 60 patients were followed up 12-56 months (mean, 27.3 months). Infection of incisions occurred in 12 cases and were cured after dressing change; healing of incision by first intention was obtained in the other patients. Delay sacral nerve injury was found in 15 patients, 6 patients underwent nerve decompression, and 9 underwent conservative treatment. Ten patients had nail protrusion of Schanz screws at the posterior superior illac spine, and 3 patients had pain, which was relieved after removal of the internal fixator. One patient had bone-grafting nonunion of sacroiliac joint, which was improved by pressured bone graft. Five patients had the beam breakage without significant effect. Six patients had deep vein thrombosis, among them 4 underwent filter and 2 underwent nonsurgical treatment. The healing time of fracture was 3-6 months (mean, 3.9 months). According to the Matta function score, the results were excellent in 31 cases, good in 24 cases, fair in 3 cases, and poor in 2 cases with an excellent and good rate of 91.7% at last follow-up. Majeed score was 58-100 (mean, 86), 28

  12. Analysis of multi-factor coupling effect on hydraulic fracture network in shale reservoirs

    Directory of Open Access Journals (Sweden)

    Yuzhang Liu

    2015-03-01

    Full Text Available Based on the research results of lab triaxial hydraulic fracturing simulation experiments, field fracturing practice, and theory analysis, the factors affecting the growth of hydraulic fracture network in shale reservoirs, including brittleness, difference of horizontal stress, distribution and mechanical characteristics of natural fractures, fluid viscosity and fracturing parameters, etc are analyzed in this study. The results show that the growth of fracture network in shale reservoirs is affected by geological factors and engineering factors jointly. From the perspective of reservoir geological factors, the higher the rock brittleness, the more developed the natural fractures, and the poorer the natural fracture consolidation, the more likely hydraulic fracture network will be formed. From the perspective of fracturing engineering factors, lower fluid viscosity and larger fracturing scale will be more helpful to the formation of extensive fracture network. On the basis of the analysis of single factors, a multi-factor coupling index has been established to characterize the growth degree of hydraulic fracture network and evaluate the complexity of hydraulic fractures after the fracturing of shale reservoirs.

  13. A Qualitative Analysis of Faculty and Student Perceptions of Effective Online Class Communities Using Herzberg's Motivator-Hygiene Factors

    Science.gov (United States)

    Costello, Rebecca; Welch, S. A.

    2014-01-01

    This article describes a qualitative approach in understanding factors that are evident in effective online class communities. Instructors and students in the same class were asked about their perceptions regarding what constitutes an effective online experience. The analysis was done using both Herzberg's (1962, 1965) motivator-hygiene factors…

  14. 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…

  15. The development of an evaluation tool to measure nursing core curriculum teaching effectiveness: an exploratory factor analysis.

    Science.gov (United States)

    Chang, Shu-Fang

    2012-09-01

    There have been few evidence-based assessments of nursing education core curricula. To conduct such assessments effectively, researchers need an objective professional tool that addresses the principal competencies of the nursing profession. The aim of this study was to develop a preliminary assessment tool to improve teaching effectiveness in nursing core curricula. This study was divided into four stages: (a) initial questionnaire content proposal, (b) expert validation, (c) random sampling, and (d) item and exploratory factor analysis. We used exploratory factor analysis to analyze three factors, namely (a) learning preparation, (b) advancement of competence, and (c) learning evaluation. These three factors explained, respectively, 43.1%, 12.9%, and 7.5% of total variance; the three together explained 63.5% of total variance. Overall questionnaire reliability was .904. All correlation coefficients displayed moderately positive relationships among subscales. The assessment tool developed in this study showed reliability and validity in the evaluation of teaching outcomes for nursing core curricula.

  16. Statistical analysis of the effective factors on the 28 days compressive strength and setting time of the concrete.

    Science.gov (United States)

    Abolpour, Bahador; Mehdi Afsahi, Mohammad; Hosseini, Saeed Gharib

    2015-09-01

    In this study, the effects of various factors (weight fraction of the SiO2, Al2O3, Fe2O3, Na2O, K2O, CaO, MgO, Cl, SO3, and the Blaine of the cement particles) on the concrete compressive strength and also initial setting time have been investigated. Compressive strength and setting time tests have been carried out based on DIN standards in this study. Interactions of these factors have been obtained by the use of analysis of variance and regression equations of these factors have been obtained to predict the concrete compressive strength and initial setting time. Also, simple and applicable formulas with less than 6% absolute mean error have been developed using the genetic algorithm to predict these parameters. Finally, the effect of each factor has been investigated when other factors are in their low or high level.

  17. Bayesian Factor Analysis.

    Science.gov (United States)

    1985-03-23

    Fundamantal Factors of Comprehension in...8217’"" . " *. . . . • * • "• "". . . . " . . . . • . . # • • • . .° - -.... . ... .. . . . . . . . . ................. 1 ,,.,..,*, University of Iowa/Novick 8 March 1985 Dr. James McBride Program Manager for Manpower, Psychological...Princeton, NJ 08541 Dr. Vern W. Urry Dr. Peter Stoloff Personnel R&D Center Center for Naval Analysis Office of Personnel Management 200 North

  18. Effect of Vascular Risk Factors and Diseases on Mortality in Individuals with Dementia : A Systematic Review and Meta-Analysis

    NARCIS (Netherlands)

    Van De Vorst, Irene E.; Koek, Huiberdina L.; De Vries, Rehana; Bots, Michiel L.; Reitsma, Johannes B.; Vaartjes, Ilonca

    2016-01-01

    Objectives To assess the effect of cardiovascular diseases and risk factors on mortality in individuals with dementia. Design Systematic review and meta-analysis. English- and Dutch-language studies in PubMed, EMBASE, and PsycINFO databases were searched in April 2014 with hand-searching of in-text

  19. A fractal model of effective stress of porous media and the analysis of influence factors

    Science.gov (United States)

    Li, Wei; Zhao, Huan; Li, Siqi; Sun, Wenfeng; Wang, Lei; Li, Bing

    2018-03-01

    The basic concept of effective stress describes the characteristics of fluid and solid interaction in porous media. In this paper, based on the theory of fractal geometry, a fractal model was built to analyze the relationship between the microstructure and the effective stress of porous media. From the microscopic point of view, the influence of effective stress on pore structure of porous media was demonstrated. Theoretical analysis and experimental results show that: (i) the fractal model of effective stress can be used to describe the relationship between effective stress and the microstructure of porous media; (ii) a linear increase in the effective stress leads to exponential increases in fractal dimension, porosity and pore number of the porous media, and causes a decreasing trend in the average pore radius.

  20. Effects of non-surgical factors on digital replantation survival rate: a meta-analysis.

    Science.gov (United States)

    Ma, Z; Guo, F; Qi, J; Xiang, W; Zhang, J

    2016-02-01

    This study aimed to evaluate the risk factors affecting survival rate of digital replantation by a meta-analysis. A computer retrieval of MEDLINE, OVID, EMBASE, and CNKI databases was conducted to identify citations for digital replantation with digit or finger or thumb or digital or fingertip and replantation as keywords. RevMan 5.2 software was used to calculate the pooled odds ratios. In total, there were 4678 amputated digits in 2641 patients. Gender and ischemia time had no significant influence on the survival rate of amputation replantation (P > 0.05). Age, injured hand, injury type, zone, and the method of preservation the amputated digit significantly influence the survival rate of digital replantation (P < 0.05). Children, right hand, crush, or avulsion and little finger are the risk factors that adversely affect the outcome. Level 5*. © The Author(s) 2015.

  1. Effect of magnesium supplementation on type 2 diabetes associated cardiovascular risk factors: a systematic review and meta-analysis.

    Science.gov (United States)

    Verma, H; Garg, R

    2017-10-01

    Cardiovascular disorders remain the leading cause of death in type 2 diabetic patients. In the present study, a systematic review and a meta-analysis of randomised controlled trials (RCTs) were conducted aiming to evaluate the effect of magnesium supplementation on type 2 diabetes (T2D) associated cardiovascular risk factors in both diabetic and nondiabetic individuals. PubMed, Scopus, Cochrane, Web of Science and Google Scholar databases were searched from inception to 30 June 2016 aiming to identify RCTs evaluating the effect of magnesium supplementation on T2D associated cardiovascular risk factors. The data were analysed using a random effect model with inverse variance methodology. Sensitivity analysis, risk of bias analysis, subgroup analysis, meta-regression and publication bias analysis were also conducted for the included studies using standard methods. Following magnesium supplementation, a significant improvement was observed in fasting plasma glucose (FPG) [weighted mean difference (WMD) = -4.641 mg dL -1 , 95% confidence interval (CI) = -7.602, -1.680, P = 0.002], high-density lipoprotein (HDL) (WMD = 3.197 mg dL -1 , 95% CI = 1.455, 4.938, P effect of magnesium supplementation was observed in diabetic subjects with hypomagnesaemia. Magnesium supplementation can produce a favourable effect on FPG, HDL, LDL, TG and SBP. Therefore, magnesium supplementation may decrease the risk T2D associated cardiovascular diseases, although future large RCTs are needed for making robust guidelines for clinical practice. © 2017 The British Dietetic Association Ltd.

  2. Analysis of effecting factors on domestic refrigerators’ energy consumption in use

    International Nuclear Information System (INIS)

    Geppert, Jasmin; Stamminger, Rainer

    2013-01-01

    Highlights: • Energy consumption of refrigerators is highly sensitive to operating conditions. • Ambient temperature has the highest impact on energy consumption of refrigerator. • There is a quadratic relationship between ambient temperature and energy use. • Compartment temperature and additional heat load have a lower impact on energy use. • Under moderate conditions, measured energy use closely match Energy Label values. - Abstract: In order to determine the sensitiveness of refrigerators’ energy consumption on various operational factors reflecting real life conditions, four different refrigerators were tested in laboratory using Box–Behnken design with three variables (ambient temperature, thermostat setting position and additional heat load by storing warm food) at three different levels. The investigations show that the energy consumption of refrigerators is highly sensitive to actual operational conditions. Daily energy consumption of one and the same appliance may vary between a few watt-hours and 2000 Wh and even more, dependent on the respective operational factors. Analysis of variance (ANOVA) reveals that ambient temperature is the most influential factor on the energy consumption of a refrigerator. Energy use is also affected, to a minor degree, by internal compartment temperature and additional heat load. Test results are presented and energy consumption data are compared with values shown on the European Energy Label. Results are discussed also with regard to the question as to whether or not the Energy Label and the associated test standard are appropriate to project actual energy consumption in use

  3. Analysis of the effects of individual and community level factors on childhood immunization in Malawi.

    Science.gov (United States)

    Ntenda, Peter Austin Morton; Chuang, Kun-Yang; Tiruneh, Fentanesh Nibret; Chuang, Ying-Chih

    2017-04-04

    Empirical evidence regarding the relationship between childhood immunization and individual- and community-level factors in low-income countries has received little attention. We compared the trends and the effects of a wide range of individual- and community-level socioeconomic factors on the likelihood of a child being immunized between 2004 and 2010 in Malawi. We used data from the 2004 and 2010 Malawi Demographic and Health Survey and applied generalized estimating logistic regression equation to analyze data respectively on 2042 and 3496 children aged 12-23months. We compared the relationship between individual- and community-level socioeconomic factors and a child's vaccination status for four basic vaccines recommended by the World Health Organization: bacillus Calmette-Guérin (BCG) vaccine, diphtheria-tetanus-pertussis (DPT3) vaccine, oral polio vaccine (OPV3), and measles-containing vaccine 1 (MCV1). The trends of vaccination had a similar pattern in 2004 and 2010. The coverage of the four vaccinations was highest for BCG and lowest for OPV3 and complete immunization was higher in 2010. The multivariate analyses show that mother's low education, having one or none antenatal visits, having no immunization card, having immunization card but not seen, residing in poor households, and living in central region were the most significant factors associated with decreased odds of achieving vaccination coverage and complete vaccination in both 2004 and 2010. However, maternal education was more likely to be associated with children's immunization in 2010, while the geographical region was more likely to be associated with children's immunization in 2004. There were marked improvements in the national immunization coverage from 2004 to 2010. In order to achieve complete immunization, to further enhance the national immunization coverage as well as to lessen the gaps and disparities in childhood vaccination in Malawi, policy makers should design interventions based

  4. Multivariate factor analysis of detailed milk fatty acid profile: Effects of dairy system, feeding, herd, parity, and stage of lactation.

    Science.gov (United States)

    Mele, M; Macciotta, N P P; Cecchinato, A; Conte, G; Schiavon, S; Bittante, G

    2016-12-01

    We investigated the potential of using multivariate factor analysis to extract metabolic information from data on the quantity and quality of milk produced under different management systems. We collected data from individual milk samples taken from 1,158 Brown Swiss cows farmed in 85 traditional or modern herds in Trento Province (Italy). Factor analysis was carried out on 47 individual fatty acids, milk yield, and 5 compositional milk traits (fat, protein, casein, and lactose contents, somatic cell score). According to a previous study on multivariate factor analysis, a variable was considered to be associated with a specific factor if the absolute value of its correlation with the factor was ≥0.60. The extracted factors were representative of the following 12 groups of fatty acids or functions: de novo fatty acids, branched fatty acid-milk yield, biohydrogenation, long-chain fatty acids, desaturation, short-chain fatty acids, milk protein and fat contents, odd fatty acids, conjugated linoleic acids, linoleic acid, udder health, and vaccelenic acid. Only 5 fatty acids showed small correlations with these groups. Factor analysis suggested the existence of differences in the metabolic pathways for de novo short- and medium-chain fatty acids and Δ 9 -desaturase products. An ANOVA of factor scores highlighted significant effects of the dairy farming system (traditional or modern), season, herd/date, parity, and days in milk. Factor behavior across levels of fixed factors was consistent with current knowledge. For example, compared with cows farmed in modern herds, those in traditional herds had higher scores for branched fatty acids, which were inversely associated with milk yield; primiparous cows had lower scores than older cows for de novo fatty acids, probably due to a larger contribution of lipids mobilized from body depots on milk fat yield. The statistical approach allowed us to reduce a large number of variables to a few latent factors with biological

  5. Effects of measurement errors on psychometric measurements in ergonomics studies: Implications for correlations, ANOVA, linear regression, factor analysis, and linear discriminant analysis.

    Science.gov (United States)

    Liu, Yan; Salvendy, Gavriel

    2009-05-01

    This paper aims to demonstrate the effects of measurement errors on psychometric measurements in ergonomics studies. A variety of sources can cause random measurement errors in ergonomics studies and these errors can distort virtually every statistic computed and lead investigators to erroneous conclusions. The effects of measurement errors on five most widely used statistical analysis tools have been discussed and illustrated: correlation; ANOVA; linear regression; factor analysis; linear discriminant analysis. It has been shown that measurement errors can greatly attenuate correlations between variables, reduce statistical power of ANOVA, distort (overestimate, underestimate or even change the sign of) regression coefficients, underrate the explanation contributions of the most important factors in factor analysis and depreciate the significance of discriminant function and discrimination abilities of individual variables in discrimination analysis. The discussions will be restricted to subjective scales and survey methods and their reliability estimates. Other methods applied in ergonomics research, such as physical and electrophysiological measurements and chemical and biomedical analysis methods, also have issues of measurement errors, but they are beyond the scope of this paper. As there has been increasing interest in the development and testing of theories in ergonomics research, it has become very important for ergonomics researchers to understand the effects of measurement errors on their experiment results, which the authors believe is very critical to research progress in theory development and cumulative knowledge in the ergonomics field.

  6. Analysis of algae growth mechanism and water bloom prediction under the effect of multi-affecting factor.

    Science.gov (United States)

    Wang, Li; Wang, Xiaoyi; Jin, Xuebo; Xu, Jiping; Zhang, Huiyan; Yu, Jiabin; Sun, Qian; Gao, Chong; Wang, Lingbin

    2017-03-01

    The formation process of algae is described inaccurately and water blooms are predicted with a low precision by current methods. In this paper, chemical mechanism of algae growth is analyzed, and a correlation analysis of chlorophyll-a and algal density is conducted by chemical measurement. Taking into account the influence of multi-factors on algae growth and water blooms, the comprehensive prediction method combined with multivariate time series and intelligent model is put forward in this paper. Firstly, through the process of photosynthesis, the main factors that affect the reproduction of the algae are analyzed. A compensation prediction method of multivariate time series analysis based on neural network and Support Vector Machine has been put forward which is combined with Kernel Principal Component Analysis to deal with dimension reduction of the influence factors of blooms. Then, Genetic Algorithm is applied to improve the generalization ability of the BP network and Least Squares Support Vector Machine. Experimental results show that this method could better compensate the prediction model of multivariate time series analysis which is an effective way to improve the description accuracy of algae growth and prediction precision of water blooms.

  7. Analysis of Cardiovascular Diseases Costs and Their Effective Factors in Tabriz Hospitalized Patients, 2015

    Directory of Open Access Journals (Sweden)

    Imani

    2016-01-01

    Full Text Available Background Cardiovascular diseases are the most important chronic diseases with significant negative effects on the individuals’ quality of life and communities’ economic productivity. Objectives The present study aimed to analyze the costs of cardiovascular diseases and identify the related factors in hospitalized patients of Tabriz Shahid Madani hospital in 2015. Patients and Methods This paper was a cross-sectional study. Cost information was obtained by a bottom-up approach from the patients and their families’ perspective. A number of 285 patients were randomly selected to participate in the study. For data collection, the study deployed a researcher-made questionnaire whose validity and reliability were confirmed by statistical tests. First, the collected data were analyzed using descriptive methods. And then, the researchers used t-test and ANOVA to analyze the relationship between demographic variables and the different types of cost. Tukey test was used to compare differences between groups groups, the researchers used. Results The Study findings showed that the total cost of cardiovascular diseases was 13,074,700 Rials (US$462 per patient. The details of the costs of cardiovascular diseases also showed that direct medical costs, direct non-medical costs, and indirect costs were 10,909,100 Rials (US$386, 109’940 Rials (US$38.90, and 1,066,200 Rials (37.73 US$ which were 83.4%, 8.4% and 8.2% of the total costs, respectively. Statistical analyses indicated a significant relationship between gender, marital status, education, job status, location, type of disease, type of admission, and the reason for hospitalization and some types of assessed costs (P < 0.05. Conclusions The study showed that the costs associated with cardiovascular diseases were not reasonable for many of these patients and their families. This certainly requires more consideration by managers and policy makers in the health care sector and the implementation of

  8. Analysis of the effect of BER and Q-factor on free space optical communication system using diverse wavelength technique

    Directory of Open Access Journals (Sweden)

    Anis A. A.

    2017-01-01

    Full Text Available This paper presents the analysis of the effect of BER and Q-factor on free space optical communication system using the diverse wavelength technique. The visibility is gradually decreased due to attenuation effects such as weather conditions as the bit error rate increases. Despite this disadvantage, FSO performance could be further improved by using a wide range of wavelengths of the laser beam. The results show good performance for 1550 nm wavelength, where the wavelength can accommodate visibility for 6 km at link range of 1 km, and Q-factor 25 at the system performance BER = 10-124 could improve the system by 67% compared to 850 nm and 785 nm wavelength, which could enhance the system by only 2%. This clearly show that the superior capabilities of 1550 nm wavelength in handling attenuation problems and capability to reduce the power loss compared to 850 nm and 785 nm wavelength.

  9. Effect of Environmental Factors on Low Weight in Non-Premature Births: A Time Series Analysis.

    Directory of Open Access Journals (Sweden)

    Julio Díaz

    Full Text Available Exposure to pollutants during pregnancy has been related to adverse birth outcomes. LBW can give rise to lifelong impairments. Prematurity is the leading cause of LBW, yet few studies have attempted to analyse how environmental factors can influence LBW in infants who are not premature. This study therefore sought to analyse the influence of air pollution, noise levels and temperature on LBW in non-premature births in Madrid during the period 2001-2009.Ecological time-series study to assess the impact of PM2.5, NO2 and O3 concentrations, noise levels, and temperatures on LBW among non-premature infants across the period 2001-2009. Our analysis extended to infants having birth weights of 1,500 g to 2,500 g (VLBW and less than 1,500 g (ELBW. Environmental variables were lagged until 37 weeks with respect to the date of birth, and cross-correlation functions were used to identify explaining lags. Results were quantified using Poisson regression models.Across the study period 298,705 births were registered in Madrid, 3,290 of which had LBW; of this latter total, 1,492 were non-premature. PM2.5 was the only pollutant to show an association with the three variables of LBW in non-premature births. This association occurred at around the third month of gestation for LBW and VLBW (LBW: lag 23 and VLBW: lag 25, and at around the eighth month of gestation for ELBW (lag 6. Leqd was linked to LBW at lag zero. The RR of PM2.5 on LBW was 1.01 (1.00 1.03. The RR of Leqd on LBW was 1.09 (0.99 1.19(p<0.1.The results obtained indicate that PM2.5 had influence on LBW. The adoption of measures aimed at reducing the number of vehicles would serve to lower pregnant women's exposure. In the case of noise should be limited the exposure to high levels during the final weeks of pregnancy.

  10. Sensitivity analysis of power depression and axial power factor effect on fuel pin to temperature and related properties distribution

    International Nuclear Information System (INIS)

    Suwardi, S.

    2001-01-01

    The presented paper is a preliminary step to evaluate the effect of radial and axial distribution of power generation on thermal analysis of whole fuel pin model with large L/D ratio. The model takes into account both radial and axial distribution of power generation due to power depression and core geometry, temperature and microstructure dependent on thermal conductivity. The microstructure distribution and the gap conductance for typical steady-state situation are given for the sensitivity analysis. The temperature and thermal conductivity distribution along the radial and axial directions obtained by different power distribution is used to indicate the sensitivity of power depression and power factor on thermal aspect. The evaluation is made for one step of incremental time and steady state approach is used. The analysis has been performed using a finite element-finite difference model. The result for typical reactor fuel shows that the sensitivity is too important to be omitted in thermal model

  11. Unleashing the Effectiveness of Process-oriented Information Systems: Problem Analysis, Critical Success Factors, Implications

    NARCIS (Netherlands)

    Mutschler, B.B.; Reichert, M.U.; Bumiller, J.

    2008-01-01

    Process-oriented information systems (IS) aim at the computerized support of business processes. So far, contemporary IS have often fail to meet this goal. To better understand this drawback, to systematically identify its rationales, and to derive critical success factors for business process

  12. Understanding Mathematics Achievement: An Analysis of the Effects of Student and Family Factors

    Science.gov (United States)

    Goforth, Kate; Noltemeyer, Amity; Patton, Jon; Bush, Kevin R.; Bergen, Doris

    2014-01-01

    Educators are increasingly recognising the importance of improving students' mathematics achievement. Much of the current research focuses on the impact of instructional variables on mathematics achievement. The goal of this study was to examine the influence of less researched variables--family and student factors. Participants were 747…

  13. Different effects of meteorological factors on hand, foot and mouth disease in various climates: a spatial panel data model analysis.

    Science.gov (United States)

    Wang, Chao; Cao, Kai; Zhang, Yingjie; Fang, Liqun; Li, Xia; Xu, Qin; Huang, Fangfang; Tao, Lixin; Guo, Jin; Gao, Qi; Guo, Xiuhua

    2016-05-26

    Major outbreaks of hand, foot and mouth disease (HFMD) have been reported in China since 2008, posing a great threat to the health of children. Although many studies have examined the effect of meteorological variables on the incidence of HFMD, the results have been inconsistent. This study aimed to quantify the relationship between meteorological factors and HFMD occurrence in different climates of mainland China using spatial panel data models. All statistical analyses were carried out according to different climate types. We firstly conducted a descriptive analysis to summarize the epidemic characteristics of HFMD from May 2008 to November 2012 and then detected the spatial autocorrelation of HFMD using a global autocorrelation statistic (Moran's I) in each month. Finally, the association between HFMD incidence and meteorological factors was explored by spatial panel data models. The 353 regions were divided into 4 groups according to climate (G1: subtropical monsoon climate; G2: temperate monsoon climate; G3: temperate continental climate; G4: plateau mountain climate). The Moran's I values were significant with high correlations in most months of group G1 and G2 and some months of group G3 and G4. This suggested the existence of a high spatial autocorrelation with HFMD. Spatial panel data models were more appropriate to describe the data than fixed effect models. The results showed that HFMD incidences were significantly associated with average atmospheric pressure (AAP), average temperature (AT), average vapor pressure (AVP), average relative humidity (ARH), monthly precipitation (MP), average wind speed (AWS), monthly total sunshine hours (MSH), mean temperature difference (MTD), rain day (RD) and average temperature distance (ATD), but the effect of meteorological factors might differ in various climate types. Spatial panel data models are useful and effective when longitudinal data are available and spatial autocorrelation exists. Our findings showed that

  14. Analysis of the Encoding Factors That Produce the Negative Repetition Effect

    Science.gov (United States)

    Mulligan, Neil W.; Peterson, Daniel J.

    2014-01-01

    Perhaps the most basic finding in memory research is the repetition effect--the fact that repetition enhances memory. Peterson and Mulligan (2012) recently documented a surprising "negative repetition effect," in which participants who studied a list of cue-target pairs twice recalled "fewer" targets than a group who studied…

  15. 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...

  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. The Effect of Certain Factors on FDI Attraction - A cross-country analysis

    OpenAIRE

    Giavidou, Maria

    2016-01-01

    In this Master Dissertation we examine the effects of (i) the direct taxes to GDP ratio, of (ii) the nominal unit labor cost, and of (iii) the business cycle fluctuations on the FDI net inflows, for the 19 Euro Area member states between 1999 and 2014. We estimated with Fixed and Random Effects three equations: one for the level of FDI net inflows, one for the first differences at current time and with one period , and one only with lagged differences – model (III). Business cycle was proxied...

  18. An analysis of the effects of smoking and other cardiovascular risk factors on obliteration rates after arteriovenous malformation radiosurgery

    International Nuclear Information System (INIS)

    Bhatnagar, Ajay; Flickinger, John C.; Kondziolka, Douglas; Niranjan, Ajay; Lunsford, L. Dade

    2001-01-01

    Purpose: To assess the relationships of smoking and other cardiovascular disease risk factors (hypertension, diabetes, hypercholesterolemia, and gender) to rates of radiosurgery-induced obliteration of arteriovenous malformations (AVM). Methods and Materials: We evaluated follow-up imaging and clinical data in 329 AVM patients who received gamma knife radiosurgery at the University of Pittsburgh between 1987 and 1994. There were 113 smokers, 29 hypertensives, 5 diabetics, 4 hypercholesterolemics, 159 male patients, and 170 female patients. All patients had regular clinical or imaging follow-up for a minimum of 3 years after radiosurgery. Results: Multivariate analysis showed that smoking had no effect on AVM obliteration (p>0.43). Hypertension, diabetes, and hypercholesterolemia had no discernible effect on AVM obliteration in this study (p>0.78). However, females aged 12-49 had a statistically significant lower in-field obliteration rate than males (78% vs. 89%, p=0.0102). Conclusion: Smoking has no effect on AVM obliteration. Hypertension, diabetes, and hypercholesterolemia had no discernible effect in this study. Further study is needed to establish whether estrogen has a vascular protective effect that could partially limit radiosurgical AVM obliteration, as suggested by this study

  19. Analysis of the some effective teaching quality factors within faculty members of agricultural and natural resources colleges in Tehran University

    Directory of Open Access Journals (Sweden)

    M. Ghonji

    2015-06-01

    Full Text Available Agricultural higher education institutions have a significant role in development of the agriculture sector and the effectiveness of higher education is dependent on the quality of teaching offered by its faculty members. The purpose of this study was to determine and classify factors related to teaching quality by members of a scientific board. The method of evaluation for this research was by evaluation of data from a descriptive survey taken with a researcher made questionnaire. The target population of the study consisted of 256 faculty members in agricultural colleges in Tehran University. A sample of 100 staff was selected through a randomized multi-stage sampling method based on the Koukran formula. The questionnaire, used as the research tool, was verified by a panel of experts. The reliability of the questionnaire was verified through calculating the Crookback Alpha coefficient equal to 0/86 following a pilot study. Data was analyzed through SPSS15/Win and results of the explorative factor analysis revealed that five components explained 74/82% of the total variance. These factors were as follows; (1 lesson plan (19.52%, (2 teaching skill (17.97%, (3 communication skills (17.93%, (4 expertise related to lesson content (10.59%, and (5 individual capabilities of members (9.15% respectively.

  20. Identification of Effective Leadership Indicators in Ghanaian Retail Banks Using AMOS-Based Confirmatory Factor Analysis

    DEFF Research Database (Denmark)

    Sanda, Aminu; Kuada, John

    2013-01-01

    In the light of the importance of banks to the economic growth process in Ghana, this study sought to identify the determinants of effective leadership style that is appreciated by employees in retail banking firms in Ghana, towards providing practitioners with crucial information that could enable...... them make informed decisions towards improving the workplace. Using data collected from employees in eleven firms which were analyzed using the AMOS programme, minimum was achieved for the leadership measurement model and the goodness of fit statistics showed that the overall model fit quite well...... and taking care of their complaints as well as putting in place systems for enhancing employees’ career advancement into specialist departments or management positions are also perceived as good determinant of leadership. It is therefore hypothesized that managers of retail banks in Ghana could be perceived...

  1. The Effect of Exercise Training on Resting Concentrations of Peripheral Brain-Derived Neurotrophic Factor (BDNF: A Meta-Analysis.

    Directory of Open Access Journals (Sweden)

    Adam Dinoff

    Full Text Available The mechanisms through which physical activity supports healthy brain function remain to be elucidated. One hypothesis suggests that increased brain-derived neurotrophic factor (BDNF mediates some cognitive and mood benefits. This meta-analysis sought to determine the effect of exercise training on resting concentrations of BDNF in peripheral blood.MEDLINE, Embase, PsycINFO, SPORTDiscus, Rehabilitation & Sports Medicine Source, and CINAHL databases were searched for original, peer-reviewed reports of peripheral blood BDNF concentrations before and after exercise interventions ≥ 2 weeks. Risk of bias was assessed using standardized criteria. Standardized mean differences (SMDs were generated from random effects models. Risk of publication bias was assessed using funnel plots and Egger's test. Potential sources of heterogeneity were explored in subgroup analyses.In 29 studies that met inclusion criteria, resting concentrations of peripheral blood BDNF were higher after intervention (SMD = 0.39, 95% CI: 0.17-0.60, p < 0.001. Subgroup analyses suggested a significant effect in aerobic (SMD = 0.66, 95% CI: 0.33-0.99, p < 0.001 but not resistance training (SMD = 0.07, 95% CI: -0.15-0.30, p = 0.52 interventions. No significant difference in effect was observed between males and females, nor in serum vs plasma.Aerobic but not resistance training interventions increased resting BDNF concentrations in peripheral blood.

  2. RNA-seq analysis of unintended effects in transgenic wheat overexpressing the transcription factor GmDREB1

    Directory of Open Access Journals (Sweden)

    Qiyan Jiang

    2017-06-01

    Full Text Available The engineering of plants with enhanced tolerance to abiotic stresses typically involves complex multigene networks and may therefore have a greater potential to introduce unintended effects than the genetic modification for simple monogenic traits. For this reason, it is essential to study the unintended effects in transgenic plants engineered for stress tolerance. We selected drought- and salt-tolerant transgenic wheat overexpressing the transcription factor, GmDREB1, to investigate unintended pleiotropic effects using RNA-seq analysis. We compared the transcriptome alteration of transgenic plants with that of wild-type plants subjected to salt stress as a control. We found that GmDREB1 overexpression had a minimal impact on gene expression under normal conditions. GmDREB1 overexpression resulted in transcriptional reprogramming of the salt response, but many of the genes with differential expression are known to mitigate salt stress and contribute incrementally to the enhanced stress tolerance of transgenic wheat. GmDREB1 overexpression did not activate unintended gene networks with respect to gene expression in the roots of transgenic wheat. This work is important for establishing a method of detecting unintended effects of genetic engineering and the safety of such traits with the development of marketable transgenic crops in the near future.

  3. Meta-Analysis of the Effects of Foods and Derived Products Containing Ellagitannins and Anthocyanins on Cardiometabolic Biomarkers: Analysis of Factors Influencing Variability of the Individual Responses

    Science.gov (United States)

    Chambers, Karen; Andrés-Lacueva, Cristina; Konic Ristic, Aleksandra; Hollands, Wendy J.; Kroon, Paul A.; Rodríguez-Mateos, Ana; Istas, Geoffrey; Kontogiorgis, Christos A.; Morand, Christine; Espín, Juan Carlos

    2018-01-01

    Understanding interindividual variability in response to dietary polyphenols remains essential to elucidate their effects on cardiometabolic disease development. A meta-analysis of 128 randomized clinical trials was conducted to investigate the effects of berries and red grapes/wine as sources of anthocyanins and of nuts and pomegranate as sources of ellagitannins on a range of cardiometabolic risk biomarkers. The potential influence of various demographic and lifestyle factors on the variability in the response to these products were explored. Both anthocyanin- and ellagitannin-containing products reduced total-cholesterol with nuts and berries yielding more significant effects than pomegranate and grapes. Blood pressure was significantly reduced by the two main sources of anthocyanins, berries and red grapes/wine, whereas waist circumference, LDL-cholesterol, triglycerides, and glucose were most significantly lowered by the ellagitannin-products, particularly nuts. Additionally, we found an indication of a small increase in HDL-cholesterol most significant with nuts and, in flow-mediated dilation by nuts and berries. Most of these effects were detected in obese/overweight people but we found limited or non-evidence in normoweight individuals or of the influence of sex or smoking status. The effects of other factors, i.e., habitual diet, health status or country where the study was conducted, were inconsistent and require further investigation. PMID:29495642

  4. Meta-Analysis of the Effects of Foods and Derived Products Containing Ellagitannins and Anthocyanins on Cardiometabolic Biomarkers: Analysis of Factors Influencing Variability of the Individual Responses

    Directory of Open Access Journals (Sweden)

    María-Teresa García-Conesa

    2018-02-01

    Full Text Available Understanding interindividual variability in response to dietary polyphenols remains essential to elucidate their effects on cardiometabolic disease development. A meta-analysis of 128 randomized clinical trials was conducted to investigate the effects of berries and red grapes/wine as sources of anthocyanins and of nuts and pomegranate as sources of ellagitannins on a range of cardiometabolic risk biomarkers. The potential influence of various demographic and lifestyle factors on the variability in the response to these products were explored. Both anthocyanin- and ellagitannin-containing products reduced total-cholesterol with nuts and berries yielding more significant effects than pomegranate and grapes. Blood pressure was significantly reduced by the two main sources of anthocyanins, berries and red grapes/wine, whereas waist circumference, LDL-cholesterol, triglycerides, and glucose were most significantly lowered by the ellagitannin-products, particularly nuts. Additionally, we found an indication of a small increase in HDL-cholesterol most significant with nuts and, in flow-mediated dilation by nuts and berries. Most of these effects were detected in obese/overweight people but we found limited or non-evidence in normoweight individuals or of the influence of sex or smoking status. The effects of other factors, i.e., habitual diet, health status or country where the study was conducted, were inconsistent and require further investigation.

  5. Thermal-oxidative effect of Kraft lignin antioxidant in polypropylene: Uncovering the key factor using correlation analysis model.

    Science.gov (United States)

    Chen, Kai; Ye, Dezhan; Gu, Shaojin; Zhou, Yingshan

    2018-02-01

    Which factors are crucial to improving lignin antioxidant ability in polymers has been debated over years. Here, the structural effect of natural antioxidant from technical Kraft lignin (KL) on the oxidation induction time (OIT) of KL/polypropylene (PP) was quantitatively investigated using correlation analysis model instead of traditional linear fitting model. The correlation coefficient and significance value of their relationship clearly demonstrated the dominating role of non-condensed Phenolic OH (Ph-OH) in improving KL/PP thermal-oxidation stability, subsequently followed by M¯ n , aliphatic OH/total Ph-OH, condensed Ph-OH and polydispersity. OIT is positive with non-condensed and total Ph-OH, while it declines with increase of the above other factors. Remarkably, the longest OIT (∼90min) was obtained even at extreme loading (0.5wt%), almost ∼911% and ∼201% huge increase in contrast to that of pure PP and crude KL/PP composite, respectively. Meanwhile, the mechanical properties of KL fractions/PP blends can be maintained at the same or better level than that of pure PP, due to strong interfacial adhesion strength. Copyright © 2017 Elsevier B.V. All rights reserved.

  6. The study of Influencing Maintenance Factors on Failures of Two gypsum Kilns by Failure Modes and Effects Analysis (FMEA

    Directory of Open Access Journals (Sweden)

    Iraj Alimohammadi

    2014-06-01

    Full Text Available Developing technology and using equipment in Iranian industries caused that maintenance system would be more important to use. Using proper management techniques not only increase the performance of production system but also reduce the failures and costs. The aim of this study was to determine the quality of maintenance system and the effects of its components on failures of kilns in two gypsum production companies using Failure Modes and Effects Analysis (FMEA. Furthermore the costs of failures were studied. After the study of gypsum production steps in the factories, FMEA was conducted by the determination of analysis insight, information gathering, making list of kilns’ component and filling up the FMEA’s tables. The effects of failures on production, how to fail, failure rate, failure severity, and control measures were studied. The evaluation of maintenance system was studied by a check list including questions related to system components. The costs of failures were determined by refer in accounting notebooks and interview with the head of accounting department. It was found the total qualities of maintenance system in NO.1 was more than NO.2 but because of lower quality of NO.1’s kiln design, number of failures and their costs were more. In addition it was determined that repair costs in NO.2’s kiln were about one third of NO.1’s. The low severity failures caused the most costs in comparison to the moderate and low ones. The technical characteristics of kilns were appeared to be the most important factors in reducing of failures and costs.

  7. 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

  8. The effects of medical factors on transfer deficits in Public Assistance in Japan: a quantile regression analysis.

    Science.gov (United States)

    Hayashi, Masayoshi

    2011-12-01

    In countries where local governments are heavily involved in financing health care for the indigent, regional disparities in local revenues may adversely affect the access of the poor to medical care. It is thus important to examine how central governments provide funds for such local medical needs. In Japan, local governments finance all medical costs for the poor through their Public Assistance (PA) programs. Using the unique mechanism of the Japanese system of central grants, I construct a measure of "transfer deficit" which shows the portion of the PA expenditures that fails to be secured by the central grants. The distribution of such a measure provides important information to assess the regional equity in financing local programs. The results suggest a compromise on the regional equity in financing medical care for the indigent. Then, I explore the determinants of the deficit measure by performing a quantile regression analysis. Since no effects of potential determinants imply that the central grants well accommodate changes in local needs, finding such effects helps evaluate the performance of the transfer system. The results shows that, among others, the number of PA households and the factors related to mental illness of PA recipients have positive impacts that attenuate toward the top of the conditional quantile of the transfer deficit. I elaborate on plausible causes of such attenuating responses.

  9. Lithuanian Population Aging Factors Analysis

    Directory of Open Access Journals (Sweden)

    Agnė Garlauskaitė

    2015-05-01

    Full Text Available The aim of this article is to identify the factors that determine aging of Lithuania’s population and to assess the influence of these factors. The article shows Lithuanian population aging factors analysis, which consists of two main parts: the first describes the aging of the population and its characteristics in theoretical terms. Second part is dedicated to the assessment of trends that influence the aging population and demographic factors and also to analyse the determinants of the aging of the population of Lithuania. After analysis it is concluded in the article that the decline in the birth rate and increase in the number of emigrants compared to immigrants have the greatest impact on aging of the population, so in order to show the aging of the population, a lot of attention should be paid to management of these demographic processes.

  10. Effect of baseline rheumatoid factor and anticitrullinated peptide antibody serotype on rituximab clinical response: a meta-analysis

    NARCIS (Netherlands)

    Isaacs, John D.; Cohen, Stanley B.; Emery, Paul; Tak, Paul P.; Wang, Jianmei; Lei, Guiyuan; Williams, Sarah; Lal, Preeti; Read, Simon J.

    2013-01-01

    Studies examining the relationship between serological status (rheumatoid factor and/or anticitrullinated antibody) and rituximab treatment outcome in rheumatoid arthritis (RA) have been hampered by limited numbers of seronegative patients. To carry out a meta-analysis of trials from the rituximab

  11. Analysis of Organizational Factors Effect on Performing Electronic Commerce Strategy: A Case Study of the Namakin Food Industry

    OpenAIRE

    Seyed Hamidreza Hejazi Dehghani; Neda Khounsari

    2017-01-01

    Quick growth of electronic commerce in developed countries means that developing nations must change in their commerce strategies fundamentally. Most organizations are aware of the impact of the Internet and e-Commerce on the future of their firm, and thus, they have to focus on organizational factors that have an effect on the deployment of an e-Commerce strategy. In this situation, it is essential to identify organizational factors such as the organizational culture, human resources, size, ...

  12. Effect of Climate Factors on the Childhood Pneumonia in Papua New Guinea: A Time-Series Analysis

    Science.gov (United States)

    Kim, Jinseob; Kim, Jong-Hun; Cheong, Hae-Kwan; Kim, Ho; Honda, Yasushi; Ha, Mina; Hashizume, Masahiro; Kolam, Joel; Inape, Kasis

    2016-01-01

    This study aimed to assess the association between climate factors and the incidence of childhood pneumonia in Papua New Guinea quantitatively and to evaluate the variability of the effect size according to their geographic properties. The pneumonia incidence in children under five-year and meteorological factors were obtained from six areas, including monthly rainfall and the monthly average daily maximum temperatures during the period from 1997 to 2006 from national health surveillance data. A generalized linear model was applied to measure the effect size of local and regional climate factor. The pooled risk of pneumonia in children per every 10 mm increase of rainfall was 0.24% (95% confidence interval: −0.01%–0.50%), and risk per every 1 °C increase of the monthly mean of the maximum daily temperatures was 4.88% (95% CI: 1.57–8.30). Southern oscillation index and dipole mode index showed an overall negative effect on childhood pneumonia incidence, −0.57% and −4.30%, respectively, and the risk of pneumonia was higher in the dry season than in the rainy season (pooled effect: 12.08%). There was a variability in the relationship between climate factors and pneumonia which is assumed to reflect distribution of the determinants of and vulnerability to pneumonia in the community. PMID:26891307

  13. Effects of ignoring clustered data structure in confirmatory factor analysis of ordered polytomous items: a simulation study based on PANSS.

    Science.gov (United States)

    Stochl, Jan; Jones, Peter B; Perez, Jesus; Khandaker, Golam M; Böhnke, Jan R; Croudace, Tim J

    2016-09-01

    Statistical theory indicates that hierarchical clustering by interviewers or raters needs to be considered to avoid incorrect inferences when performing any analyses including regression, factor analysis (FA) or item response theory (IRT) modelling of binary or ordinal data. We use simulated Positive and Negative Syndrome Scale (PANSS) data to show the consequences (in terms of bias, variance and mean square error) of using an analysis ignoring clustering on confirmatory factor analysis (CFA) estimates. Our investigation includes the performance of different estimators, such as maximum likelihood, weighted least squares and Markov Chain Monte Carlo (MCMC). Our simulation results suggest that ignoring clustering may lead to serious bias of the estimated factor loadings, item thresholds, and corresponding standard errors in CFAs for ordinal item response data typical of that commonly encountered in psychiatric research. In addition, fit indices tend to show a poor fit for the hypothesized structural model. MCMC estimation may be more robust against clustering than maximum likelihood and weighted least squares approaches but further investigation of these issues is warranted in future simulation studies of other datasets. Copyright © 2015 John Wiley & Sons, Ltd. Copyright © 2015 John Wiley & Sons, Ltd.

  14. Methodology of human factor analysis

    International Nuclear Information System (INIS)

    Griffon-Fouco, M.

    1988-01-01

    The paper describes the manner in which the Heat Production Department of Electricite de France analyses the human factors in nuclear power plants. After describing the teams and structures set up to deal with this subject, the paper emphasizes two types of methods which are used, most often in complementary fashion: (1) an a posteriori analysis, which consists in studying the events which have taken place at nuclear power plants and in seeking the deepseated causes so as to prevent their reoccurrence in future; (2) an a priori analysis, which consists in analysing a work situation and in detecting all its potential failure factors so as to prevent their resulting once again in dysfunctions of the facility. To illustrate these two types of analysis, two examples are given: first, a study of the telephonic communications between operators in one plant (in which the a posteriori and a priori analysis are developed) and, second, a study of stress in a plant (in which only the a priori analysis is used). (author). 1 tab

  15. Multiple factor analysis of the therapeutic effect of 131I in treating 783 cases of Graves disease

    International Nuclear Information System (INIS)

    Cai Min; Li Xianfeng; Li Sijin; Chen Haibin

    2008-01-01

    Objective: To study the factors influencing therapeutic effect of 131 I in treating 783 cases of Graves disease. Methods: The values of various indexes were quantized on influencing factors such as age, sex, course of disease, mass of thyroid gland, the absorbed dose of 131 I per gram of thryoid gland, the given dose of 131 I, thyroid 24 h 131 I uptaking percentage, thyroid hormone and thyroid autoantibodys. The assessment of the therapeutic effect was made according to complete remission (including hypothyroidism) and partial remission after 131 I therapy. CMH χ 2 , Wilcoxon signed-rank test and Logistic regression were used to analyze the variable parameters before the treatment. Results: The therapeutic effect of 131 I is significant in the follow-up period (CMH χ 2 =69.21, P 131 I therapy for 12 months. The therapeutic effect was related to such factors as age thyroid mass, the absorbed dose of 131 I per gram of thryoid gland, thyroid 24 h 131 I uptaking percentage, etc (all the values of P 131 I uptaking percentage is higher, thyroid mass is bigger, thyroid gland is with noduses, the given dose of 131 I should be increased. Conversely decreased. (authors)

  16. Combining analysis of variance and three‐way factor analysis methods for studying additive and multiplicative effects in sensory panel data

    DEFF Research Database (Denmark)

    Romano, Rosaria; Næs, Tormod; Brockhoff, Per Bruun

    2015-01-01

    in the use of the scale with reference to the existing structure of relationships between sensory descriptors. The multivariate assessor model will be tested on a data set from milk. Relations between the proposed model and other multiplicative models like parallel factor analysis and analysis of variance......Data from descriptive sensory analysis are essentially three‐way data with assessors, samples and attributes as the three ways in the data set. Because of this, there are several ways that the data can be analysed. The paper focuses on the analysis of sensory characteristics of products while...

  17. Effects of the Dietary Approach to Stop Hypertension (DASH) diet on cardiovascular risk factors: a systematic review and meta-analysis.

    Science.gov (United States)

    Siervo, Mario; Lara, Jose; Chowdhury, Shakir; Ashor, Ammar; Oggioni, Clio; Mathers, John C

    2015-01-14

    The Dietary Approach to Stop Hypertension (DASH) is recommended to lower blood pressure (BP), but its effects on cardiometabolic biomarkers are unclear. A systematic review and meta-analysis of randomised controlled trials (RCT) was conducted to determine the effects of the DASH diet on cardiovascular risk factors. Medline, Embase and Scopus databases were searched from inception to December 2013. Inclusion criteria were as follows: (1) DASH diet; (2) RCT; (3) risk factors including systolic and diastolic BP and glucose, HDL, LDL, TAG and total cholesterol concentrations; (4) control group. Random-effects models were used to determine the pooled effect sizes. Meta-regression analyses were carried out to examine the association between effect sizes, baseline values of the risk factors, BMI, age, quality of trials, salt intake and study duration. A total of twenty articles reporting data for 1917 participants were included in the meta-analysis. The duration of interventions ranged from 2 to 24 weeks. The DASH diet was found to result in significant decreases in systolic BP ( - 5·2 mmHg, 95% CI - 7·0, - 3·4; PDASH diet improved cardiovascular risk factors and appeared to have greater beneficial effects in subjects with an increased cardiometabolic risk. The DASH diet is an effective nutritional strategy to prevent CVD.

  18. ANALYSIS OF GAP FORMATION AT TOOTH-COMPOSITE RESIN INTERFACE: EFFECT OF C-FACTOR AND LIGHT-CURING PROTOCOL

    Science.gov (United States)

    dos Santos, Gustavo Oliveira; da Silva, Antônio Henrique Monteiro da Fonseca Thomé; Guimarães, José Guilherme Antunes; Barcellos, Alexandre de Araújo Lima; Sampaio, Eduardo Martins; da Silva, Eduardo Moreira

    2007-01-01

    Objective: The aim of this study was to evaluate the effect of C-factor and light-curing protocol on gap formation in composite resin restorations. Material and Methods: Cylindrical cavities with 5.0 mm diameter and three different depths (A=1.0, B=2.0 and C=3.0 mm) were prepared on the occlusal surface of 30 human molars and restored in a single increment with P 60. The composite resin was light-cured according to two protocols: standard - 850 mW/cm2 / 20 s and gradual - 100 up to 1000 mW/cm2/ 10 s + 1000 mW/cm2 / 10 s. After storage in distilled water (37°C/7 days), the restorations were cut into three slices in a buccolingual direction and the gap widths were analyzed using a 3D-scanning system. The data were submitted to ANOVA and Student-Newman-Keuls test (α=0.05). Results: ANOVA detected a significant influence for the C-factor and light-curing protocol as independent factors, and for the double interaction C-factor vs. light-curing protocol. Cavities with higher C-factor presented the highest gap formation. The gradual light-curing protocol led to smaller gap formation at cavity interfaces. Conclusions: The findings of this study suggest that the C-factor played an essential role in gap formation. The gradual light-curing protocol may allow relaxation of composite resin restoration during polymerization reaction. PMID:19089143

  19. Analysis of gap formation at tooth-composite resin interface: effect of C-factor and light-curing protocol

    Directory of Open Access Journals (Sweden)

    Gustavo Oliveira dos Santos

    2007-08-01

    Full Text Available OBJECTIVE: The aim of this study was to evaluate the effect of C-factor and light-curing protocol on gap formation in composite resin restorations. Material and METHODS: Cylindrical cavities with 5.0 mm diameter and three different depths (A=1.0, B=2.0 and C=3.0 mm were prepared on the occlusal surface of 30 human molars and restored in a single increment with P 60. The composite resin was light-cured according to two protocols: standard - 850 mW/cm² / 20 s and gradual - 100 up to 1000 mW/cm² / 10 s + 1000 mW/cm² / 10 s. After storage in distilled water (37°C/7 days, the restorations were cut into three slices in a buccolingual direction and the gap widths were analyzed using a 3D-scanning system. The data were submitted to ANOVA and Student-Newman-Keuls test (alpha=0.05. RESULTS: ANOVA detected a significant influence for the C-factor and light-curing protocol as independent factors, and for the double interaction C-factor vs. light-curing protocol. Cavities with higher C-factor presented the highest gap formation. The gradual light-curing protocol led to smaller gap formation at cavity interfaces. CONCLUSIONS: The findings of this study suggest that the C-factor played an essential role in gap formation. The gradual light-curing protocol may allow relaxation of composite resin restoration during polymerization reaction.

  20. The effect of pile parameters on the factor of safety of piled-slopes using 3D numerical analysis

    Directory of Open Access Journals (Sweden)

    Ahmed Abdelaziz

    2017-12-01

    Full Text Available Slope stability can be achieved using different methods. Piles are commonly used to stabilize slopes or to improve slope stability. Stabilized slopes with piles are numerically studied in the current paper. A 3 dimensional (3D finite element study is carried out to investigate the effect of different parameters on the stability of slopes stabilized with piles. A 3D finite element model was developed using the finite element program PLAXIS. The 3D model was verified using experimental data from the literature for a stabilized silty sand slope in a large-scale physical model. A parametric study was undertaken to study the effect of pile position, pile inclination, pile length and pile diameter on the factor of safety of the piled-slopes. The findings of the research were compared to other findings from the literature. The results show that using the 3D aspect gives more insight into the complicated slope stability problem. The study determines the optimum location of the pile and its optimum inclination to achieve the maximum stability. It shows that after a certain length of the pile, increasing the pile length becomes unnecessary and that the diameter of the pile has a relatively minor effect on the factor of safety of piled-slopes.

  1. Extension Procedures for Confirmatory Factor Analysis

    Science.gov (United States)

    Nagy, Gabriel; Brunner, Martin; Lüdtke, Oliver; Greiff, Samuel

    2017-01-01

    We present factor extension procedures for confirmatory factor analysis that provide estimates of the relations of common and unique factors with external variables that do not undergo factor analysis. We present identification strategies that build upon restrictions of the pattern of correlations between unique factors and external variables. The…

  2. 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

  3. Impact of socio-demographic factors on the mitigating actions for climate change: a path analysis with mediating effects of attitudinal variables.

    Science.gov (United States)

    Masud, Muhammad Mehedi; Akhatr, Rulia; Nasrin, Shamima; Adamu, Ibrahim Mohammed

    2017-12-01

    Socio-demographic factors play a significant role in increasing the individual's climate change awareness and in setting a favorable individual attitude towards its mitigation. To better understand how the adversative effects of climate change can be mitigated, this study attempts to investigate the impact of socio-demographic factors on the mitigating actions of the individuals (MAOI) on climate change. Qualitative data were collected from a face-to-face survey of 360 respondents in the Kuala Lumpur region of Malaysia through a close-ended questionnaire. Analysis was conducted on the mediating effects of attitudinal variables through the path model by using the SEM. Findings indicate that the socio-demographic factors such as gender, age, education, income, and ethnicity can greatly influence the individual's awareness, attitude, risk perception, and knowledge of climate change issues. The results drawn from this study also revealed that the attitudinal factors act as a mediating effect between the socio-demographic factors and the MAOI, thereby, indicating that both the socio-demographic factors and the attitudinal factors have significant effects on the MAOI towards climate change. The outcome of this study can help policy makers and other private organizations to decide on the appropriate actions to take in managing climate change effects. These actions which encompass improving basic climate change education and making the public more aware of the local dimensions of climate change are important for harnessing public engagement and support that can also stimulate climate change awareness and promote mitigating actions to n protect the environment from the impact of climate change.

  4. Habitats as surrogates of taxonomic and functional fish assemblages in coral reef ecosystems: a critical analysis of factors driving effectiveness.

    Directory of Open Access Journals (Sweden)

    Simon Van Wynsberge

    Full Text Available Species check-lists are helpful to establish Marine Protected Areas (MPAs and protect local richness, endemicity, rarity, and biodiversity in general. However, such exhaustive taxonomic lists (i.e., true surrogate of biodiversity require extensive and expensive censuses, and the use of estimator surrogates (e.g., habitats is an appealing alternative. In truth, surrogate effectiveness appears from the literature highly variable both in marine and terrestrial ecosystems, making it difficult to provide practical recommendations for managers. Here, we evaluate how the biodiversity reference data set and its inherent bias can influence effectiveness. Specifically, we defined habitats by geomorphology, rugosity, and benthic cover and architecture criteria, and mapped them with satellite images for a New-Caledonian site. Fish taxonomic and functional lists were elaborated from Underwater Visual Censuses, stratified according to geomorphology and exposure. We then tested if MPA networks designed to maximize habitat richness, diversity and rarity could also effectively maximize fish richness, diversity, and rarity. Effectiveness appeared highly sensitive to the fish census design itself, in relation to the type of habitat map used and the scale of analysis. Spatial distribution of habitats (estimator surrogate's distribution, quantity and location of fish census stations (target surrogate's sampling, and random processes in the MPA design all affected effectiveness to the point that one small change in the data set could lead to opposite conclusions. We suggest that previous conclusions on surrogacy effectiveness, either positive or negative, marine or terrestrial, should be considered with caution, except in instances where very dense data sets were used without pseudo-replication. Although this does not rule out the validity of using surrogates of species lists for conservation planning, the critical joint examination of both target and estimator

  5. Habitats as surrogates of taxonomic and functional fish assemblages in coral reef ecosystems: a critical analysis of factors driving effectiveness.

    Science.gov (United States)

    Van Wynsberge, Simon; Andréfouët, Serge; Hamel, Mélanie A; Kulbicki, Michel

    2012-01-01

    Species check-lists are helpful to establish Marine Protected Areas (MPAs) and protect local richness, endemicity, rarity, and biodiversity in general. However, such exhaustive taxonomic lists (i.e., true surrogate of biodiversity) require extensive and expensive censuses, and the use of estimator surrogates (e.g., habitats) is an appealing alternative. In truth, surrogate effectiveness appears from the literature highly variable both in marine and terrestrial ecosystems, making it difficult to provide practical recommendations for managers. Here, we evaluate how the biodiversity reference data set and its inherent bias can influence effectiveness. Specifically, we defined habitats by geomorphology, rugosity, and benthic cover and architecture criteria, and mapped them with satellite images for a New-Caledonian site. Fish taxonomic and functional lists were elaborated from Underwater Visual Censuses, stratified according to geomorphology and exposure. We then tested if MPA networks designed to maximize habitat richness, diversity and rarity could also effectively maximize fish richness, diversity, and rarity. Effectiveness appeared highly sensitive to the fish census design itself, in relation to the type of habitat map used and the scale of analysis. Spatial distribution of habitats (estimator surrogate's distribution), quantity and location of fish census stations (target surrogate's sampling), and random processes in the MPA design all affected effectiveness to the point that one small change in the data set could lead to opposite conclusions. We suggest that previous conclusions on surrogacy effectiveness, either positive or negative, marine or terrestrial, should be considered with caution, except in instances where very dense data sets were used without pseudo-replication. Although this does not rule out the validity of using surrogates of species lists for conservation planning, the critical joint examination of both target and estimator surrogates is needed

  6. Correction factor for hair analysis by PIXE

    International Nuclear Information System (INIS)

    Montenegro, E.C.; Baptista, G.B.; Castro Faria, L.V. de; Paschoa, A.S.

    1979-06-01

    The application of the Particle Induced X-ray Emission (PIXE) technique to analyse quantitatively the elemental composition of hair specimens brings about some difficulties in the interpretation of the data. The present paper proposes a correction factor to account for the effects of energy loss of the incident particle with penetration depth, and x-ray self-absorption when a particular geometrical distribution of elements in hair is assumed for calculational purposes. The correction factor has been applied to the analysis of hair contents Zn, Cu and Ca as a function of the energy of the incident particle.(Author) [pt

  7. Effects of probiotics consumption on lowering lipids and CVD risk factors: a systematic review and meta-analysis of randomized controlled trials.

    Science.gov (United States)

    Sun, Jing; Buys, Nicholas

    2015-01-01

    This meta-analysis examined the effect of probiotics on the reduction of lipid components and coexisting risk factors associated with cardiovascular disease. All randomized controlled trials published in English on PubMed and Scopus from 2000 to 2014 were systematically searched. Using the PEDro scale to assess the quality of studies, a total of 15 studies with 788 subjects were selected for inclusion in the analysis. The mean difference and effect size with a 95% confidence interval (CI) were extracted from individual studies. Statistically significant pooled effects of probiotics were found on reduction of total cholesterol, low-density lipoprotein (LDL), body mass index (BMI), waist circumference, and inflammatory markers. Subgroup analysis revealed statistically significant effects of probiotics on total cholesterol and LDL when the medium was fermented milk or yogurt (P capsule form, consumption was at least 8 weeks in duration (P probiotics consisted of multiple strains (P probiotic supplementation use is effective in lowering the lipid level and coexisting factors associated with cardiovascular disease.

  8. An empirical analysis of effective factors on farmers adaptation behavior in water scarcity conditions in rural communities

    Directory of Open Access Journals (Sweden)

    Abdolmotalleb Rezaei

    2017-12-01

    Full Text Available This paper investigates the effect of factors on Farmers Adaptation Behavior in Water Scarcity Conditions in Rural Communities of Sabzevar, Iran. A survey questionnaire was used for collecting data, the study population was 120 farmers in rural Sabzevar County selected based on the Cochran formula. A questionnaire was designed for the target group for the measurement of on farm adaptation behavior in water scarcity conditions. Research models were drawn using structural equation modeling and the relationships between latent variables and indicators. The findings indicate that there is a significant relationship between awareness and adaptation behavior. Meanwhile, there is a significant relationship among network and media on farmer's perception about water scarcity and their activities toward better management of water in the critical condition. There are also significant relationships among perception and awareness with intention however, intention do not effect on adaptation behavior strongly. In other words, even the that means farmers had information about crisis, they are not able to have not operational plans to confront the water scarcity conditions. Keywords: Farmers adaptation behavior, Water scarcity, Rural communities, Iran

  9. Exploring the core factors and its dynamic effects on oil price: An application on path analysis and BVAR-TVP model

    International Nuclear Information System (INIS)

    Chai Jian; Guo, Ju-E.; Meng Lei; Wang Shouyang

    2011-01-01

    As the uncertainty of oil price increases, impacts of the influential factors on oil price vary over time. It is of great importance to explore the core factors and its time-varying influence on oil price. In view of this, based on the PATH-ANALYSIS model, this paper obtains the core factors, builds an oil price system VAR model, which uses demand, supply, price, and inventory as endogenous variables, and China's net imports as well as dollar index as exogenous variables. Then we set up a BVAR-TVP (Time varying parameter) model to analyze dynamic impacts of core factors on oil price. The results show that: (1) oil prices became more sensitive to oil supply changes, and the influence delays became shorter; (2) the impact of oil inventories on oil prices with a time lag of two quarters but has a downward trend; (3) the impact of oil consumption on oil prices with a time lag of two quarters, and this effect is increasingly greater; (4) the US dollar index is always the important factor of oil price and its control power increases gradually, and the financial crisis (occurred in 2008) further strengthens the influence of US dollar. - Highlights: ► We build an oil price VAR model based on the PATH-ANALYSIS results. ► The dynamic effects of core factors on oil price was studied by BVAR-TVP model. ► Oil prices became more sensitive to oil supply changes. ► The effect of oil consumption on oil prices is increasingly greater. ► Financial crisis further strengthens the influence of US dollar on oil price.

  10. [Analysis of clinical effectiveness and risk factors for complication of percutaneous nephrolototripsia in patients with a solitary kidney].

    Science.gov (United States)

    Arustamov, L D; Katibov, M I; Merinov, D S; Gurbanov, Sh Sh; Artemov, A V; Epishov, V A

    2017-12-01

    Management of patients with large and staghorn stones of a solitary kidney is widely debated among urologists and has not been sufficiently investigated, which determined the relevance of this study. The study comprised 80 patients with large (>20 mm) and staghorn stones of an anatomically or functionally solitary kidney. Of them, 58 patients underwent percutaneous nephrolithotripsy (PNL), and 22 had open surgery. The criterion of the treatment effectiveness was the complete stone clearance or small residual fragments sized less than 3 mm. The safety criterion was the absence of intra- and postoperative complications, according to Clavien-Dindo grading system. The study analyzed the following factors influencing the effectiveness and safety of PNL: the number of accesses; nephroscope diameter; use of a nephroscope sheath; type of lithotripter; size, density, type and composition of the stone. Percutaneous nephrolithotripsy demonstrated statistically significantly better safety results compared with open surgery with comparable effectiveness. Long-term stone recurrence rate after PNL and open surgery was 10.4 and 18.2%, respectively. PNL resulted in a statistically significant improvement in the kidney function while it worsened after open surgery. The effectiveness of PNL depends on the stone type and size and the kind of lithotripter. It was 7.5 times greater for a large stone than for staghorn calculi and 4.6 times higher for stones sized less or equal 45 mm than for those sized > 45 mm. Ultrasonic lithotripter was 2.2 times more effective than another type of lithotripter. The safety of PNL depends on the nephroscope diameter, of a sheath, the number of accesses, the type of lithotripter and the type of stone. Using a 24-Ch nephroscope was 3.6 times safer than that with a diameter greater than 24-Ch; not using a sheath was 3.2 times safer than using it; one access was 3 times safer than at multiple ones; using an ultrasound lithotripter was 2.7 times safer than

  11. A principal components analysis of the factors effecting personal exposure to air pollution in urban commuters in Dublin, Ireland.

    Science.gov (United States)

    McNabola, Aonghus; Broderick, Brian M; Gill, Laurence W

    2009-10-01

    Principal component analysis was used to examine air pollution personal exposure data of four urban commuter transport modes for their interrelationships between pollutants and relationships with traffic and meteorological data. Air quality samples of PM2.5 and VOCs were recorded during peak traffic congestion for the car, bus, cyclist and pedestrian between January 2005 and June 2006 on a busy route in Dublin, Ireland. In total, 200 personal exposure samples were recorded each comprising 17 variables describing the personal exposure concentrations, meteorological conditions and traffic conditions. The data reduction technique, principal component analysis (PCA), was used to create weighted linear combinations of the data and these were subsequently examined for interrelationships between the many variables recorded. The results of the PCA found that personal exposure concentrations in non-motorised forms of transport were influenced to a higher degree by wind speed, whereas personal exposure concentrations in motorised forms of transport were influenced to a higher degree by traffic congestion. The findings of the investigation show that the most effective mechanisms of personal exposure reduction differ between motorised and non-motorised modes of commuter transport.

  12. Conditions for factor (in)determinacy in factor analysis

    NARCIS (Netherlands)

    Krijnen, W.P.; Dijkstra, T.K.; Gill, R.D.

    1998-01-01

    The subject of factor indeterminacy has a vast history in factor analysis Wilson Lederman Guttman It has lead to strong dierences in opinion Steiger The current paper gives necessary and sucient conditions for observability of factors in terms of the parameter matrices and a nite number of

  13. Conditions for factor (in)determinacy in factor analysis

    NARCIS (Netherlands)

    Krijnen, W.P.; Dijkstra, T.K.; Gill, R.D.

    1998-01-01

    The subject of factor indeterminacy has a vast history in factor analysis (Guttman, 1955; Lederman, 1938; Wilson, 1928). It has lead to strong differences in opinion (Steiger, 1979). The current paper gives necessary and sufficient conditions for observability of factors in terms of the parameter

  14. Genetic effects analysis of myeloid leukemia factor 2 and T cell receptor-beta on resistance to coccidiosis in chickens.

    Science.gov (United States)

    Kim, E-S; Hong, Y H; Lillehoj, H S

    2010-01-01

    Associations between the parameters of resistance to coccidiosis and SNP in 3 candidate genes located on chromosome 1 [T cell receptor-beta (TCR-beta), myeloid leukemia factor 2 (MLF2), and lymphotactin] were determined. Single nucleotide polymorphisms were genotyped in 24 F1 generation and 290 F2 generation birds. Four SNP were identified in the lymphotactin gene, 12 were located in the TCR-beta gene, and 4 in the MLF2 gene. At various times after experimental infection of the F2 generation with Eimeria maxima, BW, fecal oocyst shedding, and biochemical parameters were measured as parameters of coccidiosis resistance. Single marker association test was applied to determine the associations between the 20 SNP and the parameters of coccidiosis resistance. The maximum additive genetic effect on disease resistance of an SNP in MLF2 was explained by BW (P = 0.0002). The SNP in MLF2 significantly associated with BW was also associated with fecal oocyst shedding (P = 0.001). Four SNP associated with oocyst shedding were found within the coding region of TCR-beta (P coccidiosis resistance in chickens.

  15. Analysis of effect of 1α-hydroxyvitamin D3 on benign paroxysmal positional vertigo and risk factors

    Science.gov (United States)

    Gu, Xiang; Dong, Feilin; Gu, Jianhua

    2018-01-01

    The purpose of this study was to investigate the curative effect of 1α-hydroxyvitamin D3 on the benign paroxysmal positional vertigo (BPPV). Fifty BPPV patients diagnosed in the ENT Department of Anzhen Hospital from October 2015 to December 2016 were randomly selected as the treatment group, and treated with 0.25 µg 1α-hydroxyvitamin D3 once per day, in addition to the routine diagnosis and treatment. Moreover, 50 BPPV patients in the same period were selected as the control group, and received the routine diagnosis and treatment. The detection results of bone mineral density (BMD) t-value, vitamin D3 and bone metabolic markers before and after treatment were compared, and statistical analysis was performed on the results. There were no differences in the general data between treatment group and control group. There were no statistically significant differences in the BMD and age distribution of males and females between treatment group and control group (P>0.05). The BMD of male BPPV patients in each age group in the treatment group was significantly increased after treatment, and the difference was statistically significant (PBPPV patients in each age group in control group was somewhat increased after treatment, the difference was not statistically significant (P>0.05). The BMD of female BPPV patients in each age group in treatment group was increased after treatment, and the difference was statistically significant (PBPPV patients in each age group in control group was somewhat increased after treatment, the difference was not statistically significant (P>0.05). The average BMD of female BPPV patients in each age group was significantly lower than that of male patients, and the difference was statistically significant (PBPPV was effective or not as a dependent variable, and six items, including the sex (female), hypertension, diabetes mellitus, age (>50 years), 25-hydroxyvitamin D3 and osteopenia/osteoporosis, as the independent variables, and the results

  16. Effect of dipeptidyl peptidase-4 inhibitors on circulating tumor necrosis factor-α concentrations: A systematic review and meta-analysis of controlled trials.

    Science.gov (United States)

    Atkin, Stephen L; Katsiki, Niki; Banach, Maciej; Mikhailidis, Dimitri P; Pirro, Matteo; Sahebkar, Amirhossein

    2017-09-01

    Dipeptidyl peptidase-4 (DPP-4) inhibitors improve glycemic control in patients with type 2 diabetes mellitus. There are also reports of an effect of these drugs in reducing inflammation through inhibition of tumor necrosis factor-α (TNF-α) that is an important mediator for several inflammatory processes. The present systematic review and meta-analysis were performed to evaluate the effect of DPP-4 inhibitors on circulating TNF-α levels in T2DM patients. A systematic review and a meta-analysis were undertaken on all controlled trials of DPP-4 inhibitors that included measurement of TNF-α. The search included PubMed-Medline, Scopus, ISI Web of Knowledge and Google Scholar databases. Quantitative data synthesis was performed using a random-effects model, with standardized mean difference (SMD) and 95% confidence interval (CI) as summary statistics. Meta-regression and leave-one-out sensitivity analysis were performed to assess the modifiers of treatment response. Eight eligible articles (6 with sitagliptin and 2 with vildagliptin) comprising 9 treatment arms were selected for this meta-analysis. Meta-analysis suggested a significant reduction of circulating TNF-α concentrations following treatment with DPP-4 inhibitors (SMD: -1.84, 95% CI: -2.88, -0.80, p=0.001). The effect size was robust in the sensitivity analysis and not mainly driven by a single study. A subgroup analysis did not suggest any significant difference between the TNF-α-lowering activity of sitagliptin (SMD: -1.49, 95% CI: -2.89, -0.10) and vildagliptin (SMD: -2.80, 95% CI: -4.98, -0.61) (p=0.326). This meta-analysis of the 8 available controlled trials showed that DPP-4 inhibition in patients with type 2 diabetes mellitus was associated with significant reductions in plasma TNF-α levels with no apparent difference between sitagliptin and vildagliptin. Copyright © 2017 Elsevier Inc. All rights reserved.

  17. Analysis of effect of 1α-hydroxyvitamin D3 on benign paroxysmal positional vertigo and risk factors.

    Science.gov (United States)

    Gu, Xiang; Dong, Feilin; Gu, Jianhua

    2018-03-01

    The purpose of this study was to investigate the curative effect of 1α-hydroxyvitamin D3 on the benign paroxysmal positional vertigo (BPPV). Fifty BPPV patients diagnosed in the ENT Department of Anzhen Hospital from October 2015 to December 2016 were randomly selected as the treatment group, and treated with 0.25 µg 1α-hydroxyvitamin D3 once per day, in addition to the routine diagnosis and treatment. Moreover, 50 BPPV patients in the same period were selected as the control group, and received the routine diagnosis and treatment. The detection results of bone mineral density (BMD) t-value, vitamin D3 and bone metabolic markers before and after treatment were compared, and statistical analysis was performed on the results. There were no differences in the general data between treatment group and control group. There were no statistically significant differences in the BMD and age distribution of males and females between treatment group and control group (P>0.05). The BMD of male BPPV patients in each age group in the treatment group was significantly increased after treatment, and the difference was statistically significant (P0.05). The BMD of female BPPV patients in each age group in treatment group was increased after treatment, and the difference was statistically significant (P0.05). The average BMD of female BPPV patients in each age group was significantly lower than that of male patients, and the difference was statistically significant (Pdiabetes mellitus, age (>50 years), 25-hydroxyvitamin D3 and osteopenia/osteoporosis, as the independent variables, and the results suggested that the level of 25-hydroxyvitamin D3 and osteopenia/osteoporosis are the clinical features of whether the BPPV treatment is effective (P<0.05). The results showed that the treatment of BPPV with 1α-hydroxyvitamin D3 can effectively improve the symptoms of patients, and the level of vitamin D3 and the occurrence of osteopenia/osteoporosis are the clinical indexes of whether

  18. Personalizing Mammography by Breast Density and Other Risk Factors for Breast Cancer: Analysis of Health Benefits and Cost-Effectiveness

    Science.gov (United States)

    Schousboe, John T.; Kerlikowske, Karla; Loh, Andrew; Cummings, Steven R.

    2013-01-01

    Background Current guidelines recommend mammography every 1 or 2 years starting at age 40 or 50 years, regardless of individual risk for breast cancer. Objective To estimate the cost-effectiveness of mammography by age, breast density, history of breast biopsy, family history of breast cancer, and screening interval. Design Markov microsimulation model. Data Sources Surveillance, Epidemiology, and End Results program, Breast Cancer Surveillance Consortium, and the medical literature. Target Population U.S. women aged 40 to 49, 50 to 59, 60 to 69, and 70 to 79 years with initial mammography at age 40 years and breast density of Breast Imaging Reporting and Data System (BI-RADS) categories 1 to 4. Time Horizon Lifetime. Perspective National health payer. Intervention Mammography annually, biennially, or every 3 to 4 years or no mammography. Outcome Measures Costs per quality-adjusted life-year (QALY) gained and number of women screened over 10 years to prevent 1 death from breast cancer. Results of Base-Case Analysis Biennial mammography cost less than $100 000 per QALY gained for women aged 40 to 79 years with BI-RADS category 3 or 4 breast density or aged 50 to 69 years with category 2 density; women aged 60 to 79 years with category 1 density and either a family history of breast cancer or a previous breast biopsy; and all women aged 40 to 79 years with both a family history of breast cancer and a previous breast biopsy, regardless of breast density. Biennial mammography cost less than $50 000 per QALY gained for women aged 40 to 49 years with category 3 or 4 breast density and either a previous breast biopsy or a family history of breast cancer. Annual mammography was not cost-effective for any group, regardless of age or breast density. Results of Sensitivity Analysis Mammography is expensive if the disutility of false-positive mammography results and the costs of detecting nonprogressive and nonlethal invasive cancer are considered. Limitation Results are not

  19. Effect of marine-derived n-3 polyunsaturated fatty acids on C-reactive protein, interleukin 6 and tumor necrosis factor α: a meta-analysis.

    Science.gov (United States)

    Li, Kelei; Huang, Tao; Zheng, Jusheng; Wu, Kejian; Li, Duo

    2014-01-01

    Previous studies did not draw a consistent conclusion about the effects of marine-derived n-3 polyunsaturated fatty acids (PUFAs) on fasting blood level of C-reactive protein (CRP), interleukin 6 (IL-6) and tumor necrosis factor α (TNF-α). A comprehensive search of Web of Science, PubMed, Embase and Medline (from 1950 to 2013) and bibliographies of relevant articles was undertaken. Sixty-eight RCTs with a total of 4601 subjects were included in the meta-analysis. Marine-derived n-3 PUFAs supplementation showed a lowering effect on Marine-derived n-3 PUFAs supplementation had a significant lowering effect on TNF-α, IL-6 and CRP in three groups of subjects (subjects with chronic non-autoimmune disease, subjects with chronic autoimmune disease and healthy subjects). A significant negative linear relationship between duration and effect size of marine-derived n-3 PUFAs supplementation on fasting blood levels of TNF-α and IL-6 in subjects with chronic non-autoimmune disease was observed, indicating that longer duration of supplementation could lead to a greater lowering effect. A similar linear relationship was also observed for IL-6 levels in healthy subjects. Restricted cubic spline analysis and subgroup analysis showed that the lowering effect of marine-derived n-3 PUFAs on CRP, IL-6 and TNF-α in subjects with chronic non-autoimmune disease became weakened when body mass index was greater than 30 kg/m². The effect of marine-derived n-3 PUFAs from dietary intake was only assessed in subjects with chronic non-autoimmune disease, and a significant lowering effect was observed on IL-6, but not on CRP and TNF-α. Marine-derived n-3 PUFAs supplementation had a significant lowering effect on CRP, IL-6 and TNF-α level. The lowering effect was most effective in non-obese subjects and consecutive long-term supplementation was recommended.

  20. Reciprocal effects among changes in weight, body image, and other psychological factors during behavioral obesity treatment: a mediation analysis

    Directory of Open Access Journals (Sweden)

    Barata José T

    2009-02-01

    Full Text Available Abstract Background Changes in body image and subjective well-being variables (e.g. self-esteem are often reported as outcomes of obesity treatment. However, they may, in turn, also influence behavioral adherence and success in weight loss. The present study examined associations among obesity treatment-related variables, i.e., change in weight, quality of life, body image, and subjective well-being, exploring their role as both mediators and outcomes, during a behavioral obesity treatment. Methods Participants (BMI = 31.1 ± 4.1 kg/m2; age = 38.4 ± 6.7 y were 144 women who attended a 12-month obesity treatment program and a comparison group (n = 49, who received a general health education program. The intervention included regular group meetings promoting lasting behavior changes in physical activity and dietary intake. Body image, quality of life, subjective well-being, and body weight were measured at baseline and treatment's end. Mediation was tested by multiple regression and a resampling approach to measure indirect effects. Treatment group assignment was the independent variable while changes in weight and in psychosocial variables were analyzed alternatively as mediators and as dependent variables. Results At 12 months, the intervention group had greater weight loss (-5.6 ± 6.8% vs. -1.2 ± 4.6%, p Conclusion Changes in weight and body image may reciprocally affect each other during the course of behavioral obesity treatment. No evidence of reciprocal relationships was found for the other models under analysis; however, weight changes partially explained the effects of treatment on quality of life and self-esteem. Weight and psychosocial changes co-occur during treatment and will probably influence each other dynamically, in ways not yet adequately understood. Results from this study support the inclusion of intervention contents aimed at improving body image in weight management programs.

  1. Using Horn's Parallel Analysis Method in Exploratory Factor Analysis for Determining the Number of Factors

    Science.gov (United States)

    Çokluk, Ömay; Koçak, Duygu

    2016-01-01

    In this study, the number of factors obtained from parallel analysis, a method used for determining the number of factors in exploratory factor analysis, was compared to that of the factors obtained from eigenvalue and scree plot--two traditional methods for determining the number of factors--in terms of consistency. Parallel analysis is based on…

  2. Analysis of Multi-Scale Changes in Arable Land and Scale Effects of the Driving Factors in the Loess Areas in Northern Shaanxi, China

    Directory of Open Access Journals (Sweden)

    Lina Zhong

    2014-04-01

    Full Text Available In this study, statistical data on the national economic and social development, including the year-end actual area of arable land, the crop yield per unit area and 10 factors, were obtained for the period between 1980 and 2010 and used to analyze the factors driving changes in the arable land of the Loess Plateau in northern Shaanxi, China. The following areas of arable land, which represent different spatial scales, were investigated: the Baota District, the city of Yan’an, and the Northern Shaanxi region. The scale effects of the factors driving the changes to the arable land were analyzed using a canonical correlation analysis and a principal component analysis. Because it was difficult to quantify the impact of the national government policies on the arable land changes, the contributions of the national government policies to the changes in arable land were analyzed qualitatively. The primary conclusions of the study were as follows: between 1980 and 2010, the arable land area decreased. The trends of the year-end actual arable land proportion of the total area in the northern Shaanxi region and Yan’an City were broadly consistent, whereas the proportion in the Baota District had no obvious similarity with the northern Shaanxi region and Yan’an City. Remarkably different factors were shown to influence the changes in the arable land at different scales. Environmental factors exerted a greater effect for smaller scale arable land areas (the Baota District. The effect of socio-economic development was a major driving factor for the changes in the arable land area at the city and regional scales. At smaller scales, population change, urbanization and socio-economic development affected the crop yield per unit area either directly or indirectly. Socio-economic development and the modernization of agricultural technology had a greater effect on the crop yield per unit area at the large-scales. Furthermore, the qualitative analysis

  3. 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”.

  4. 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…

  5. The Infinitesimal Jackknife with Exploratory Factor Analysis

    Science.gov (United States)

    Zhang, Guangjian; Preacher, Kristopher J.; Jennrich, Robert I.

    2012-01-01

    The infinitesimal jackknife, a nonparametric method for estimating standard errors, has been used to obtain standard error estimates in covariance structure analysis. In this article, we adapt it for obtaining standard errors for rotated factor loadings and factor correlations in exploratory factor analysis with sample correlation matrices. Both…

  6. Total factor productivity and Bio Economy effects

    OpenAIRE

    Zuniga Gonzalez, Carlos Alberto

    2012-01-01

    This paper develops a new measure of total factor productivity growth in agricultural Production which incorporates Bio Economic components effects.The new measure is called the Bio Economic-Oriented Total Factor Productivity (BTFP) index, and incorporates components of Bio Economic as liquid biofuels. BTFP measure changes in Bio Economic efficiency and can be decomposed into bio economy efficiency change (BEC), and Bio Economic technological change (BTC) components.An empirical analysis, inv...

  7. Effect of peer support interventions on cardiovascular disease risk factors in adults with diabetes: a systematic review and meta-analysis.

    Science.gov (United States)

    Patil, Sonal J; Ruppar, Todd; Koopman, Richelle J; Lindbloom, Erik J; Elliott, Susan G; Mehr, David R; Conn, Vicki S

    2018-03-23

    Peer support by persons affected with diabetes improves peer supporter's diabetes self-management skills. Peer support interventions by individuals who have diabetes or are affected by diabetes have been shown to improve glycemic control; however, its effects on other cardiovascular disease risk factors in adults with diabetes are unknown. We aimed to estimate the effect of peer support interventions on cardiovascular disease risk factors other than glycemic control in adults with diabetes. We conducted a systematic review and meta-analysis of randomized controlled trials comparing peer support interventions to a control condition in adults affected by diabetes that measured any cardiovascular disease risk factors [Body Mass Index, smoking, diet, physical activity, cholesterol level, glucose control and blood pressure]. Quality was assessed by Cochrane's risk of bias tool. We calculated standardized mean difference effect sizes using random effects models. We retrieved 438 citations from multiple databases including OVID MEDLINE, Cochrane database and Scopus, and author searches. Of 233 abstracts reviewed, 16 articles met inclusion criteria. A random effects model in a total of 3243 participants showed a positive effect of peer support interventions on systolic BP with a pooled effect size of 2.07 mmHg (CI 0.35 mmHg to 3.79 mmHg, p = 0.02); baseline pooled systolic blood pressure was 137 mmHg. There was a non-significant effect of peer support interventions on diastolic blood pressure, cholesterol, body mass index, diet and physical activity. Cardiovascular disease risk factors other than glycemic control outcomes were secondary outcomes in most studies and baseline values were normal or mildly elevated. Only one study reported smoking outcomes. We found a small (2 mmHg) positive effect of peer support interventions on systolic blood pressure in adults with diabetes whose baseline blood pressure was on average minimally elevated. Additional studies need to

  8. Using estimated factor scores from a bifactor analysis to examine the unique effects of the latent variables measured by the WAIS-IV on academic achievement.

    Science.gov (United States)

    Kranzler, John H; Benson, Nicholas; Floyd, Randy G

    2015-12-01

    This study used estimated factor scores from a bifactor analysis of the Wechsler Adult Intelligence Scale-Fourth Edition (WAIS-IV) to examine the unique effects of its latent variables on academic achievement. In doing so, we addressed the potential limitation of multicollinearity in previous studies of the incremental validity of the WAIS-IV. First, factor scores representing psychometric g and 4 group factors representing the WAIS-IV index scales were computed from a bifactor model. Subtest and composite scores for the Wechsler Individual Achievement Test-Third Edition (WIAT-II) were then predicted from these estimated factor scores in simultaneous multiple regression. Results of this study only partially replicated the findings of previous research on the incremental validity of scores that can be derived from performance on the WAIS-IV. Although we found that psychometric g is the most important underlying construct measured by the WAIS-IV for the prediction of academic achievement in general, results indicated that the unique effect of Verbal Comprehension is also important for predicting achievement in reading, spelling, and oral communication skills. Based on these results, measures of both psychometric g and Verbal Comprehension could be cautiously interpreted when considering high school students' performance in these areas of achievement. (c) 2015 APA, all rights reserved).

  9. Using Factor Analysis to Generate Clusters of Agile Practices

    OpenAIRE

    Abbas, Noura; Gravell, Andy; Wills, Gary

    2010-01-01

    In this paper, factor analysis is applied on a set of data that was collected to study the effectiveness of 58 different agile practices. The analysis extracted 15 factors; each was associated with a list of practices. These factors with the associated practices can be used as a guide for agile process improvement. Correlations between the extracted factors were calculated, and the significant correlation findings suggested that people who applied iterative and incremental development and qua...

  10. [Analysis on factors for effects of motor function of cerebral palsy children assisted by acupuncture-Retrospective analysis with 520 cases attached].

    Science.gov (United States)

    Jin, Bingxu; Liu, Zhenhuan; Zhao, Yong; Zhou, Yuan; Zhang, Malan

    2016-07-12

    To analyze the effects of motor function of cerebral palsy children by the adjuvant therapy of acupuncture and its factors retrospectively. Five hundred and twenty cerebral palsy children in hospital (from January 2005 to December 2014) who meet the criteria were selected through Doctor Workstation of our hospital. The cases were divided into groups according to the type of cerebral palsy, gestational age, complication, treatment time and age. Based on the physical rehabilitation, all the patients were assisted by acupuncture. Scalp acupuncture was used at Zhiqizhen (seven-intelligent needles), motor area, foot-motor-sensory area, etc. Body acupuncture were mainly at the governor vessel and yangming meridians of hand and foot. Treatment was given once every other day for eight months. Effects were evaluated by gross motor function classification system (GMFCS) and gross motor function measure (GMFM). ① GMFCS:after eight-month treatment, the total effective rate of children with spastic cerebral palsy was superior to those of mixed type and involuntary movement type[77.9% (300/385) vs 60.3% (38/63), 56.9% (41/72), both P epilepsy and hearing disorder ( P acupuncture, and the effect may be related to treating time, cerebral palsy type, gestational age, complication and age.

  11. Is the Factor Observed in Investigations on the Item-Position Effect Actually the Difficulty Factor?

    Science.gov (United States)

    Schweizer, Karl; Troche, Stefan

    2018-01-01

    In confirmatory factor analysis quite similar models of measurement serve the detection of the difficulty factor and the factor due to the item-position effect. The item-position effect refers to the increasing dependency among the responses to successively presented items of a test whereas the difficulty factor is ascribed to the wide range of…

  12. Physiological enhancement of factors in factor analysis of dynamic studies

    International Nuclear Information System (INIS)

    Samal, M.; Surova, H.; Marikova, E.; Michalova, K.; Karny, M.; Dienstbier, Z.

    1986-01-01

    Factor analysis of dynamic radionuclide studies provides their decomposition into the images and time-activity curves corresponding to the underlying dynamic structures. The method is based on the analysis of study variance and on the subsequent differential imaging of its principal components into a simplified factor space. By changing the amount and the composition of the variance processed in the analysis it is possible to enhance the factors that are important for diagnosis while the less important factors can be suppressed. In our report, a short theoretical review of the problem is given and illustrated by the analysis of dynamic cholescintigraphy. It is shown that a suitable choice of region and/or the temporal interval of interest enables the differential evaluation of such intrahepatic compartments, which could not be observed without enhancement. (orig.)

  13. The effect of risk factors on disability: a multistate analysis of the U.S. Health and Retirement Study

    NARCIS (Netherlands)

    Reuser, M.

    2010-01-01

    As life expectancy increases the question whether an extended life does not result in a longer period of disability at its end. With rising life expectancy and age-related morbidity, are years to live with disability expanded or compressed, or is it a mix? Risk factors like smoking, body-mass index

  14. A Path Analysis of the Effects of Mental Health and Socio-personal Factors on Breastfeeding Problems in Infants Aged Less than Six Months

    Directory of Open Access Journals (Sweden)

    Zohreh Mahmoodi

    2018-01-01

    Full Text Available Background: Despite the large number of studies conducted on breastfeeding, no studies have yet examined the direct and indirect effects of socio-personal factors and mental health on breastfeeding. Aim: This study aimed to analyze of the effects of mental health and socio-personal factors on breastfeeding in infants aged less than six months. Method: This analytical cross-sectional study was conducted on 465 eligible mothers visiting general health centers in a northern city of Iran, in 2015. Data were collected using the researcher-made scale of socio-personal factors of breastfeeding, Spielberger’s State-Trait Anxiety Inventory, Beck’s Depression Inventory, Cohen’s Perceived Stress Scale, the Breastfeeding Difficulties Questionnaire, the Access to Healthcare Questionnaire, and the Poor Health Behaviors Questionnaire. Results: The path analysis of the mental health variables showed that breastfeeding problems are associated through a direct path with depression, through an indirect path with stress, and through both paths with anxiety; a positive correlation was thus observed between these variables and breastfeeding problems. Poor health behaviors also contributed to mothers’ breastfeeding problems through a direct path and indirectly by affecting their level of depression. Income had the highest positive effect (B=0.66, while the number of children had the highest negative effect (B=-3.16 on breastfeeding problems through a direct path. Poor health behaviors had the highest positive effect (B=0.75 and family support had the highest negative effect (B=-0.11 on breastfeeding. Implications for Practice: The early diagnosis of poor postpartum mental health in mothers can help reduce breastfeeding problems.

  15. Effectiveness of human factors simulator

    International Nuclear Information System (INIS)

    Moragas, F.

    2015-01-01

    En 2011, ANAV started the exploitation of the Human Factors Simulator installed in TECNATOM Training Center located in L'Hospital de L'Infant Tarragona. AVAN's Strategic Plan includes the Action Plan for the improvement of human behavior. The plan includes improving the efficiency of the efficiency of the human factors simulator. It is proposed to improve the efficiency into two different terms: winning effectiveness in modeling behaviors, and interweaving the activities in the simulator with the actual strategy of promoting Safety culture and human behaviour. (Author)

  16. (1)H-NMR-based metabolomic analysis of the effect of moderate wine consumption on subjects with cardiovascular risk factors

    OpenAIRE

    Vázquez Fresno, Rosa; Llorach, Rafael; Alcaro, Francesca; Rodríguez Martínez, Miguel Ángel; Vinaixa Crevillent, Maria; Chiva Blanch, Gemma; Estruch Riba, Ramon; Correig Blanchar, Xavier; Andrés Lacueva, Ma. Cristina

    2012-01-01

    Moderate wine consumption is associated with health-promoting activities. An H-NMR-based metabolomic approach was used to identify urinary metabolomic differences of moderate wine intake in the setting of a prospective, randomized, crossover, and controlled trial. Sixty-one male volunteers with high cardiovascular risk factors followed three dietary interventions (28 days): dealcoholized red wine (RWD) (272mL/day, polyphenol control), alcoholized red wine (RWA) (272mL/day) and gin (GIN) (100m...

  17. DEFINING THE EFFECTIVENESS OF FACTORS IN PROCESS OF DRYING INDUSTRIAL BAKERS YEAST BY USING TAGUCHI METHOD AND REGRESSION ANALYSIS, AND COMPARING THE RESULTS

    Directory of Open Access Journals (Sweden)

    Semra Boran

    2007-09-01

    Full Text Available Taguchi Method and Regression Analysis have wide spread applications in statistical researches. It can be said that Taguchi Method is one of the most frequently used method especially in optimization problems. But applications of this method are not common in food industry . In this study, optimal operating parameters were determined for industrial size fluidized bed dryer by using Taguchi method. Then the effects of operating parameters on activity value (the quality chracteristic of this problem were calculated by regression analysis. Finally, results of two methods were compared.To summarise, average activity value was found to be 660 for the 400 kg loading and average drying time 26 minutes by using the factors and levels taken from application of Taguchi Method. Whereas, in normal conditions (with 600 kg loading average activity value was found to be 630 and drying time 28 minutes. Taguchi Method application caused 15 % rise in activity value.

  18. Risk Factors for Peri-Implantitis: Effect of History of Periodontal Disease and Smoking Habits. A Systematic Review and Meta-Analysis

    Directory of Open Access Journals (Sweden)

    Claudio Stacchi

    2016-09-01

    Full Text Available Objectives: The purpose of this review was to evaluate whether history of periodontitis and smoking habits could represent a risk factor for peri-implantitis and implant loss. Material and Methods: This systematic review followed PRISMA guidelines and was registered at the PROSPERO database [registration numbers CRD42016034160 (effect of history of periodontitis and CRD42016033676 (effect of smoking]. Broad electronic (MEDLINE and manual searches were conducted among articles published from January 1st 1990 up to December 31st 2015, resulting in 49332 records for history of periodontitis and 3199 for smoking habits. Selection criteria included prospective studies comparing two cohorts of patients, with and without the investigated risk factor, with a minimum follow-up period of three years, and reporting data on peri-implantitis and implant loss occurrence. Considering that only prospective studies were included, dichotomous data were expressed as risk ratios and 95% confidence intervals. Results: Three studies evaluating history of periodontitis (on which quantitative analysis was performed and one study on smoking effect were included. Both implant and patient-based meta-analyses revealed a significantly higher risk of developing peri-implantitis in patients with a history of periodontitis compared with periodontally healthy subjects, but not a statistically significant increased risk for implant loss. Conclusions: The outcomes of this systematic review indicate history of periodontitis as a possible risk factor for peri-implantitis, while insufficient data are present in literature to evaluate the role of smoking. However, available evidence is still weak and immature, and sound epidemiological studies are needed to analyse the specific contribution of these potential risk factors.

  19. Risk Factors for Peri-Implantitis: Effect of History of Periodontal Disease and Smoking Habits. A Systematic Review and Meta-Analysis.

    Science.gov (United States)

    Stacchi, Claudio; Berton, Federico; Perinetti, Giuseppe; Frassetto, Andrea; Lombardi, Teresa; Khoury, Aiman; Andolsek, Francesca; Di Lenarda, Roberto

    2016-01-01

    The purpose of this review was to evaluate whether history of periodontitis and smoking habits could represent a risk factor for peri-implantitis and implant loss. This systematic review followed PRISMA guidelines and was registered at the PROSPERO database [registration numbers CRD42016034160 (effect of history of periodontitis) and CRD42016033676 (effect of smoking)]. Broad electronic (MEDLINE) and manual searches were conducted among articles published from January 1 st 1990 up to December 31 st 2015, resulting in 49332 records for history of periodontitis and 3199 for smoking habits. Selection criteria included prospective studies comparing two cohorts of patients, with and without the investigated risk factor, with a minimum follow-up period of three years, and reporting data on peri-implantitis and implant loss occurrence. Considering that only prospective studies were included, dichotomous data were expressed as risk ratios and 95% confidence intervals. Three studies evaluating history of periodontitis (on which quantitative analysis was performed) and one study on smoking effect were included. Both implant and patient-based meta-analyses revealed a significantly higher risk of developing peri-implantitis in patients with a history of periodontitis compared with periodontally healthy subjects, but not a statistically significant increased risk for implant loss. The outcomes of this systematic review indicate history of periodontitis as a possible risk factor for peri-implantitis, while insufficient data are present in literature to evaluate the role of smoking. However, available evidence is still weak and immature, and sound epidemiological studies are needed to analyse the specific contribution of these potential risk factors.

  20. Maximum auto-mutual-information factor analysis

    DEFF Research Database (Denmark)

    Nielsen, Allan Aasbjerg

    2017-01-01

    Based on the information theoretical measure mutual information derived from entropy and Kullback-Leibler divergence, an alternative to maximum autocorrelation factor analysis is sketched.......Based on the information theoretical measure mutual information derived from entropy and Kullback-Leibler divergence, an alternative to maximum autocorrelation factor analysis is sketched....

  1. Analysis of Field Data to Describe the Effect of Context (Acoustic and Non-Acoustic Factors on Urban Soundscapes

    Directory of Open Access Journals (Sweden)

    Karmele Herranz-Pascual

    2017-02-01

    Full Text Available The need to improve acoustic environments in our cities has led to increased interest in correcting or minimising noise pollution in urban environments, something that has been associated with the resurgence of the soundscape approach. This line of research highlights the importance of context in the perception of acoustic environments. Despite this, few studies consider together a wide number of variables relating to the context, and analyse the relative importance of each. The purpose of this paper is therefore to identify the acoustic and non-acoustic characteristics of a place (context that influence an individual’s perception of the sound environment and the relative importance of these factors in soundscape. The aim is to continue advancing in the definition of an acoustic comfort indicator for urban places. The data used here were collected in various soundscape campaigns carried out by Tecnalia in Bilbao (Spain between 2011 and 2014. These studies involved 534 evaluations of 10 different places. The results indicate that many diverse contextual factors determine soundscape, the most important being the congruence between soundscape and landscape. The limitations of the findings and suggestions for further research are also discussed.

  2. Full-Information Item Factor Analysis.

    Science.gov (United States)

    Bock, R. Darrell; And Others

    1988-01-01

    A method of item factor analysis is described, which is based on Thurstone's multiple-factor model and implemented by marginal maximum likelihood estimation and the EM algorithm. Also assessed are the statistical significance of successive factors added to the model, provisions for guessing and omitted items, and Bayes constraints. (TJH)

  3. Discriminatory Analysis II. Factor Analysis and Discrimination

    Science.gov (United States)

    1950-10-01

    19L8. The dependence of factorial composition • o aptitude teaLs upon populatioxn differences among pilot trainees: I._The isola.tion of factors...per- formaneqe tests. J. Appl. Psych., 27, 135-149. - -. . 9J7_. _The graduate r~cord examination vs. other measures of aptitude and achievement. Ed...34 Psyoh. X~asef 5, 241 -26O. ¾ __l~iY anaysi oa dsrete re’spo’ns~es to the- Rorschach ink blots. -. J, Cons.,.Psyci.,, 13, 335񓵨* and/ Lars en, R-P 1

  4. Effect of Marine-Derived n-3 Polyunsaturated Fatty Acids on C-Reactive Protein, Interleukin 6 and Tumor Necrosis Factor α: A Meta-Analysis

    Science.gov (United States)

    Li, Kelei; Huang, Tao; Zheng, Jusheng; Wu, Kejian; Li, Duo

    2014-01-01

    Background Previous studies did not draw a consistent conclusion about the effects of marine-derived n-3 polyunsaturated fatty acids (PUFAs) on fasting blood level of C-reactive protein (CRP), interleukin 6 (IL-6) and tumor necrosis factor α (TNF-α). Methods and Findings A comprehensive search of Web of Science, PubMed, Embase and Medline (from 1950 to 2013) and bibliographies of relevant articles was undertaken. Sixty-eight RCTs with a total of 4601 subjects were included in the meta-analysis. Marine-derived n-3 PUFAs supplementation showed a lowering effect on Marine-derived n-3 PUFAs supplementation had a significant lowering effect on TNF-α, IL-6 and CRP in three groups of subjects (subjects with chronic non-autoimmune disease, subjects with chronic autoimmune disease and healthy subjects). A significant negative linear relationship between duration and effect size of marine-derived n-3 PUFAs supplementation on fasting blood levels of TNF-α and IL-6 in subjects with chronic non-autoimmune disease was observed, indicating that longer duration of supplementation could lead to a greater lowering effect. A similar linear relationship was also observed for IL-6 levels in healthy subjects. Restricted cubic spline analysis and subgroup analysis showed that the lowering effect of marine-derived n-3 PUFAs on CRP, IL-6 and TNF-α in subjects with chronic non-autoimmune disease became weakened when body mass index was greater than 30 kg/m2. The effect of marine-derived n-3 PUFAs from dietary intake was only assessed in subjects with chronic non-autoimmune disease, and a significant lowering effect was observed on IL-6, but not on CRP and TNF-α. Conclusions Marine-derived n-3 PUFAs supplementation had a significant lowering effect on CRP, IL-6 and TNF-α level. The lowering effect was most effective in non-obese subjects and consecutive long-term supplementation was recommended. PMID:24505395

  5. Effectiveness of social media in reducing risk factors for noncommunicable diseases: a systematic review and meta-analysis of randomized controlled trials.

    Science.gov (United States)

    Mita, George; Ni Mhurchu, Cliona; Jull, Andrew

    2016-04-01

    The primary aim of the current study was to synthesize evidence of the effect of social media use compared with no social media use as part of interventions to reduce risk factors for noncommunicable diseases. Databases were searched up to June 10, 2014, using medical subject headings. A secondary aim of this study was to assess the effectiveness of social media use compared with no social media use in reducing the risk factors for noncommunicable diseases, stratifying the results by the extent of bias on outcomes, by social media use alone, and by the levels of social presence and media richness. Sixteen trials (n=10,711 participants) met the inclusion criteria, but interventions mostly used social media with low levels of media richness and presence (e.g., discussion boards, bulletin boards). Meta-analysis of all trials showed no significant differences (standardized mean difference [SMD] -0.14; 95%CI -0.28 to 0.01), with similar findings for physical activity (SMD 0.07; 95%CI -0.25 to 0.38), body weight (SMD 0.07; 95%CI -0.17 to 0.20), and fruit and vegetable intake (SMD 0.39; 95%CI -0.11 to 0.89). Trials assessing social media interventions aimed at modifying risk factors for noncommunicable diseases showed that social media use improved the primary outcomes, but the overall quality of the included studies limits the generalizability of these findings. Further trials are warranted, especially to isolate the effect of social media use and to fully evaluate the effect of the social presence and media richness of social media platforms. © The Author(s) 2016. Published by Oxford University Press on behalf of the International Life Sciences Institute. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

  6. The Effect of Polyphenol-Rich Interventions on Cardiovascular Risk Factors in Haemodialysis: A Systematic Review and Meta-Analysis.

    Science.gov (United States)

    Marx, Wolfgang; Kelly, Jaimon; Marshall, Skye; Nakos, Stacey; Campbell, Katrina; Itsiopoulos, Catherine

    2017-12-11

    End-stage kidney disease is a strong risk factor for cardiovascular-specific mortality. Polyphenol-rich interventions may attenuate cardiovascular disease risk factors; however, this has not been systematically evaluated in the hemodialysis population. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, the following databases were searched: Cochrane Library (http://www.cochranelibrary.com/), MEDLINE (https://health.ebsco.com/products/medline-with-full-text), Embase (https://www.elsevier.com/solutions/embase-biomedical-research), and CINAHL (https://www.ebscohost.com/nursing/products/cinahl-databases/cinahl-complete). Meta-analyses were conducted for measures of lipid profile, inflammation, oxidative stress, and blood pressure. Risk of bias was assessed using the Cochrane Collaboration Risk of Bias tool and quality of the body of evidence was assessed by the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) methodology. Twelve studies were included for review. Polyphenol-rich interventions included soy, cocoa, pomegranate, grape, and turmeric. Polyphenol-rich interventions significantly improved diastolic blood pressure (Mean Difference (MD) -5.62 mmHg (95% Confidence Interval (CI) -8.47, -2.78); I ² = 2%; p = 0.0001), triglyceride levels (MD -26.52 mg/dL (95% CI -47.22, -5.83); I ² = 57%; p = 0.01), and myeloperoxidase (MD -90.10 (95% CI -135.84, -44.36); I ² = 0%; p = 0.0001). Included studies generally had low or unclear risks of bias. The results of this review provide preliminary support for the use of polyphenol-rich interventions for improving cardiovascular risk markers in haemodialysis patients. Due to the limited number of studies for individual polyphenol interventions, further studies are required to provide recommendations regarding individual polyphenol intervention and dose.

  7. The Effect of Polyphenol-Rich Interventions on Cardiovascular Risk Factors in Haemodialysis: A Systematic Review and Meta-Analysis

    Directory of Open Access Journals (Sweden)

    Wolfgang Marx

    2017-12-01

    Full Text Available End-stage kidney disease is a strong risk factor for cardiovascular-specific mortality. Polyphenol-rich interventions may attenuate cardiovascular disease risk factors; however, this has not been systematically evaluated in the hemodialysis population. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA guidelines, the following databases were searched: Cochrane Library (http://www.cochranelibrary.com/, MEDLINE (https://health.ebsco.com/products/medline-with-full-text, Embase (https://www.elsevier.com/solutions/embase-biomedical-research, and CINAHL (https://www.ebscohost.com/nursing/products/cinahl-databases/cinahl-complete. Meta-analyses were conducted for measures of lipid profile, inflammation, oxidative stress, and blood pressure. Risk of bias was assessed using the Cochrane Collaboration Risk of Bias tool and quality of the body of evidence was assessed by the Grading of Recommendations, Assessment, Development and Evaluation (GRADE methodology. Twelve studies were included for review. Polyphenol-rich interventions included soy, cocoa, pomegranate, grape, and turmeric. Polyphenol-rich interventions significantly improved diastolic blood pressure (Mean Difference (MD −5.62 mmHg (95% Confidence Interval (CI −8.47, −2.78; I2 = 2%; p = 0.0001, triglyceride levels (MD −26.52 mg/dL (95% CI −47.22, −5.83; I2 = 57%; p = 0.01, and myeloperoxidase (MD −90.10 (95% CI −135.84, −44.36; I2 = 0%; p = 0.0001. Included studies generally had low or unclear risks of bias. The results of this review provide preliminary support for the use of polyphenol-rich interventions for improving cardiovascular risk markers in haemodialysis patients. Due to the limited number of studies for individual polyphenol interventions, further studies are required to provide recommendations regarding individual polyphenol intervention and dose.

  8. A Longitudinal Analysis of the Effects of Socioeconomic Factors, Foreign Media, and Attitude toward Appearance on General and Central Adiposity in Chinese Adolescents.

    Science.gov (United States)

    Felicitas, Jamie Q; Tanenbaum, Hilary C; Li, Yawen; Chou, Chih-Ping; Palmer, Paula H; Spruijt-Metz, Donna; Reynolds, Kim D; Johnson, C Anderson; Xie, Bin

    This paper explores the longitudinal effects of socioeconomic factors (i.e., parent education and family income level), foreign media, and attitude toward appearance on general and central adiposity among Chinese adolescents. A longitudinal analysis was performed using data from the China Seven Cities Study, a health promotion and smoking prevention study conducted in seven cities across Mainland China between 2002 and 2005. Participants included 5,020 middle and high school students and their parents. Explanatory variables included foreign media exposure, attitude toward appearance, parent education, and family income. Three-level, random-effect models were used to predict general adiposity (i.e., body mass index) and central adiposity (i.e., waist circumference). The Generalized Estimating Equation approach was utilized to determine the effect of explanatory variables on overweight status. Among girls, foreign media exposure was significantly negatively associated with general adiposity over time (β=-0.06, p=0.01 for middle school girls; β=-0.06, p=0.03 for high school girls). Attitude toward appearance was associated with lesser odds of being overweight, particularly among high school girls (OR=0.86, pgrade levels, family income was significantly negatively associated with central adiposity over time. Interventions addressing Chinese adolescent overweight/obesity should consider these factors as potential focus areas.

  9. Analysis of uncertainties in Monte Carlo simulated organ and effective dose in chest CT: scanner- and scan-related factors

    Science.gov (United States)

    Muryn, John S.; Morgan, Ashraf G.; Liptak, Chris L.; Dong, Frank F.; Segars, W. Paul; Primak, Andrew N.; Li, Xiang

    2017-04-01

    In Monte Carlo simulation of CT dose, many input parameters are required (e.g. bowtie filter properties and scan start/end location). Our goal was to examine the uncertainties in patient dose when input parameters were inaccurate. Using a validated Monte Carlo program, organ dose from a chest CT scan was simulated for an average-size female phantom using a reference set of input parameter values (treated as the truth). Additional simulations were performed in which errors were purposely introduced into the input parameter values. The effects on four dose quantities were analyzed: organ dose (mGy/mAs), effective dose (mSv/mAs), CTDIvol-normalized organ dose (unitless), and DLP-normalized effective dose (mSv/mGy · cm). At 120 kVp, when spectral half value layer deviated from its true value by  ±1.0 mm Al, the four dose quantities had errors of 18%, 7%, 14% and 2%, respectively. None of the dose quantities were affected significantly by errors in photon path length through the graphite section of the bowtie filter; path length error as large as 5 mm produced dose errors of  ⩽2%. In contrast, error of this magnitude in the aluminum section produced dose errors of  ⩽14%. At a total collimation of 38.4 mm, when radiation beam width deviated from its true value by  ±  3 mm, dose errors were  ⩽7%. Errors in tube starting angle had little impact on effective dose (errors  ⩽  1%) however, they produced organ dose errors as high as 66%. When the assumed scan length was longer by 4 cm than the truth, organ dose errors were up to 137%. The corresponding error was 24% for effective dose, but only 3% for DLP-normalized effective dose. Lastly, when the scan isocenter deviated from the patient’s anatomical center by 5 cm, organ and effective dose errors were up 18% and 8%, respectively.

  10. Risk Factors for Post-TAVI Bleeding According to the VARC-2 Bleeding Definition and Effect of the Bleeding on Short-Term Mortality: A Meta-analysis.

    Science.gov (United States)

    Wang, Jiayang; Yu, Wenyuan; Jin, Qi; Li, Yaqiong; Liu, Nan; Hou, Xiaotong; Yu, Yang

    2017-04-01

    In this study we investigated the effect of post-transcatheter aortic valve implantation (TAVI) bleeding (per Valve Academic Research Consortium-2 [VARC-2] bleeding criteria) on 30-day postoperative mortality and examined the correlation between pre- or intraoperative variables and bleeding. Multiple electronic literature databases were searched using predefined criteria, with bleeding defined per Valve Academic Research Consortium-2 criteria. A total of 10 eligible articles with 3602 patients were included in the meta-analysis. The meta-analysis revealed that post-TAVI bleeding was associated with a 323% increase in 30-day postoperative mortality (odds risk [OR]; 4.23, 95% confidence interval [CI], 2.80-6.40; P Risk Evaluation (EuroSCORE), aortic valve area, mean pressure gradient, left ventricular ejection fraction, preoperative hemoglobin and platelet levels, and study design had no significant effects on the results of the meta-analysis. Post-TAVI bleeding, in particular, major bleeding/life-threatening bleeding, increased 30-day postoperative mortality. Transapical access was a significant bleeding risk factor. Preexisting AF independently correlated with TAVI-associated bleeding, likely because of AF-related anticoagulation. Recognition of the importance and determinants of post-TAVI bleeding should lead to strategies to improve outcomes. Copyright © 2016 Canadian Cardiovascular Society. Published by Elsevier Inc. All rights reserved.

  11. Effects of school district factors on alcohol consumption: results of a multi-level analysis among Danish adolescents

    DEFF Research Database (Denmark)

    Stock, Christiane; Ejstrud, Bo; Vinther-Larsen, Mathilde

    2011-01-01

    of housing and land use characteristics. RESULTS: About 40% of all respondents (45.8% males and 35.2% females) had ever drunk more than one glass of alcoholic beverage. Mixed-effects logistic regression showed that significant individual level predictors for drinking initiation were male gender, a lower......, residence in rural areas may be a direct disadvantage for youth, indicating a need for region-specific prevention programmes....

  12. The curative effects of radiotherapy-based therapies for human epidermal growth factor receptor 2-positive breast cancer: A meta-analysis.

    Science.gov (United States)

    Shao, Minghai; Zhang, Chi; Qin, Qin; Zhang, Zhaoyue; Zhu, Hongcheng; Di, Xiaoke; Sun, Xinchen

    2017-09-01

    This meta-analysis was designed to fully assess the curative effects of radiotherapy-based therapies for human epidermal growth factor receptor 2-positive (HER2+) breast cancer (BC). English articles were retrieved through searching Cochrane library, PubMed, and Embase databases updated to February 2017. Studies were selected based on the inclusion and exclusion criteria. The curative effects of radiotherapy-based therapies forHER2+ BC patients were assessed using hazard rates (HRs) or odds ratios (ORs), as well as their 95% confidence intervals (CIs). In addition, Egger test was used to assess publication bias, followed by sensitivity analysis. All statistic methods were conducted using R 3.12 software. A total of 9 eligible studies were included into this meta-analysis, which involved 2236 HER2+ BC patients. Egger test showed that the eligible studies had no publication bias (t = 2.198, P = .05918). Sensitivity analysis demonstrated that the results were stable. HER2+ BC patients in radiotherapy group had lower locoregional recurrences than those in other groups. Moreover, meta-analysis showed that no significant difference was found between HER2+ BC patients in radiotherapy group and other groups on the 1-year overall survival (P = 0.5263, I = 65.4%), 3-year overall survival (P = 0.4591, I = 0), and 5-year overall survival (P = 0.06277, I = 0). Radiotherapy-based therapies might have certain advantages in treating HER2+ BC patients.

  13. Statistical Analysis of Spatiotemporal Heterogeneity of the Distribution of Air Quality and Dominant Air Pollutants and the Effect Factors in Qingdao Urban Zones

    Directory of Open Access Journals (Sweden)

    Xiangwei Zhao

    2018-04-01

    Full Text Available Air pollution has impacted people’s lives in urban China, and the analysis of the distribution and driving factors behind air quality has become a current research focus. In this study, the temporal heterogeneity of air quality (AQ and the dominant air pollutants across the four seasons were analyzed based on the Kruskal-Wallis rank-sum test method. Then, the spatial heterogeneity of AQ and the dominant air pollutants across four sites were analyzed based on the Wilcoxon signed-rank test method. Finally, the copula model was introduced to analyze the effect of relative factors on dominant air pollutants. The results show that AQ and dominant air pollutants present significant spatiotemporal heterogeneity in the study area. AQ is worst in winter and best in summer. PM10, O3, and PM2.5 are the dominant air pollutants in spring, summer, and winter, respectively. The average concentration of dominant air pollutants presents significant and diverse daily peaks and troughs across the four sites. The main driving factors are pollutants such as SO2, NO2, and CO, so pollutant emission reduction is the key to improving air quality. Corresponding pollution control measures should account for this heterogeneity in terms of AQ and the dominant air pollutants among different urban zones.

  14. 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

  15. HISTORICAL-PEDAGOGICAL ANALYSIS OF THE PROBLEM OF DEVELOPING RESEARCH SKILLS IN STUDENTS, AS A FACTOR IN EFFECTIVE LEARNING

    Directory of Open Access Journals (Sweden)

    Marianna Albertovna Gorodilova

    2016-02-01

    Full Text Available A special form of the process of cognition this study, i.e. targeted and systematic study that uses the tools of science, and which results in the formation of knowledge about the studied objects. In a broad sense, research is the search for new knowledge. On the other hand (in the narrow sense research is a scientific method of studying something. Cognitive abilities of students based on the ability to «explore».The aim of our study is the problem of formation and development of research skills among students. These skills characterize many kinds of activities corresponding to different levels of professionalism. The development of research skills determines the success of the training. Methodical skill of the teacher is manifested, not only in dealing with certain tasks of teaching, but rather in how these tasks are solved. Without knowledge of historical and pedagogical heritage is impossible to solve the problem of development of research skills in the students.The article conducts historical and pedagogical analysis of literary sources on the problem of developing research skills in students. Considered certain periods in the formation process of formation and development of research abilities of students during their education. This idea existed not in isolation, but in the General system of other Sciences, especially mathematics and philosophy and relevant is not a single century. Changing pedagogical approaches to the implementation of this idea, as changing the conditions of teaching and the individual characteristics of students. But to form and develop in students the ability to think independently, implement research – one of methods of successful training.

  16. Effective factors on bank resource mobilization

    OpenAIRE

    Saeid Ghorbannejad Maleki; Jafar Beikzad

    2012-01-01

    The main purpose of this paper is to detect effective factors on mobilization of East Azarbaijan Agricultural Bank resources in terms of deposits absorption. In order to reaching this goal, six hypotheses have been arranged and a questionnaire including 28 questions has been designed. So after justifiability and perpetuity evaluation, the questionnaires are distributed among managers of these banks. We have analyzed the data using multi variable regression analysis, Pearson's R and Variant an...

  17. A retro-prospective effectiveness study on 3448 implant operations at one referral clinic: A multifactorial analysis. Part I: Clinical factors associated to early implant failures.

    Science.gov (United States)

    Jemt, Torsten

    2017-12-01

    Limited numbers of large effectiveness studies on routine dental implant treatment are available in the literature. To report retro-prospective data on prevalence of early implant failures in a large number of routine patients/operations at 1 referral clinic. A total of 2848 patients were consecutively provided with 9582 implants with an anodized surface (Nobel Biocare AB) during 3448 implant operations between 2003 and 2011. All patients were invited to a follow-up program and early implant failures up to first annual examination were consecutively identified. A logistic multivariate data analysis was performed to identify possible factors with an association to early implant failures. A total of 43, 73, and 81 implant operations were denoted as early failures depending on when cut-off time was defined, using: abutment connection, prosthesis placement, or at first year of follow-up, respectively. Five factors showed significant association to "early implant failures," where the highest risk for a failure was associated to "surgeon" (hazard ratio [HR] 5.13), followed by "not prosthetic treatment at the referral clinic" (HR 2.71). When all 5 significant factors were present, the risk for an early failure after an operation was 7.0%, and the risk decreased to 0.1% when none/lowest risk factors were present. The role of the surgeons/dentists involved in the rehabilitation of the implant patients and numbers of placed implants (degree of tooth loss) showed the strongest associations to early implant failures in the present clinic. Also increased bone resorption was associated to increased risk for implant failure. © 2017 Wiley Periodicals, Inc.

  18. More on EM for ML Factor Analysis.

    Science.gov (United States)

    Rubin, Donald B.; Thayer, Dorothy T.

    1983-01-01

    The authors respond to a criticism of their earlier article concerning the use of the EM algorithm in maximum likelihood factor analysis. Also included are the comments made by the reviewers of this article. (JKS)

  19. Special Experts Meeting: Identifying and Overcoming Barriers to the Effective Consideration of Human and Organizational Factors in Event Analysis and Root Cause Analysis. Nuclear Energy Agency / Working Group on Human and Organizational Factors

    International Nuclear Information System (INIS)

    2011-01-01

    The main mission of the Nuclear Energy Agency (NEA) Working Group on Human and Organisational Factors (WGHOF) is to improve the understanding and treatment of human and organisational factors (HOF) within the nuclear industry in order to support the continued safety performance of nuclear installations and improve the effectiveness of regulatory practices in member countries. WGHOF developed a CSNI (Committee on the Safety of Nuclear Installations) Activity Proposal Sheet (CAPS) outlining the work and milestones necessary towards achieving the following objectives: - Identify barriers to analyzing and correctly identifying the Human and Organisational Factors (HOF) causes of events; - Identify barriers to implementing lessons learned from these analyses; and - Develop recommendations for overcoming these barriers to: improve the identification of HOF causes of events and support the successful implementation of appropriate corrective actions The CAPS can be found in Appendix A. The first activity under the plan was the development of a questionnaire. This was distributed to WGHOF members and their counterparts from the Working Group on Operating Experience (WGOE). The questionnaire was comprised of 20 questions based on the objectives of the CSNI Activity Proposed Sheet. The intended survey participants were licensees with previous experience conducting root cause analyses. Responses were received from 26 respondents from 11 different countries. The results of the questionnaire were analyzed to identify themes for further discussion during a specialist meeting planned for September 2009. The following themes were presented during the WGHOF meeting in March of 2009 and endorsed for further work: - Roles and Influence of Senior Management, - Skills and Knowledge of the Investigators, - Qualitative Nature of HOF, - Influence of the Regulator, - Systematic Approach to Investigation. A summary of the questionnaire responses is provided in Appendix B

  20. Examining different factors in effectiveness of advertisement

    Directory of Open Access Journals (Sweden)

    Seyed Gholamreza Jalali Naini

    2012-04-01

    Full Text Available This paper aims to study the effects of different factors on advertising by examining the simultaneous effects of exposure to the advertisement, type of the media, creativity in advertisements and being informative. Using data collected from one of the chain supermarkets of Tehran called “Shahrvand”; the analysis focuses on the effectiveness of four independent variables and impact of customers’ needs on encouraging consumers to purchase. The results elucidate a relationship among these four variables with encouraging people to purchase. Using creativity in advertisements, however dominate the effects on this issue. The marketing and advertisement environment are dynamic and the paper concentrates only on some of the more effective factors. Producers might be more successful in choosing the best way to promote their goods and services by following the proposed model. This paper puts four effective factors together and investigates their impact on advertisement, which was not done by any other previous papers. Unlike other studies, this paper examines the role of customer needs together with four other elements on advertisement effectiveness.

  1. Analysis of technological, institutional and socioeconomic factors ...

    African Journals Online (AJOL)

    Analysis of technological, institutional and socioeconomic factors that influences poor reading culture among secondary school students in Nigeria. ... Proliferation and availability of smart phones, chatting culture and social media were identified as technological factors influencing poor reading culture among secondary ...

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

    Science.gov (United States)

    Tazhibi, Mahdi; Sarrafzade, Sheida; Amini, Masoud

    2014-01-01

    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. 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 analysis to extract retinopathy's factors. Factor analysis is using to analyze multivariate data, in which a large number of dependent variables summarize into the fewer independent factors. Factor analysis is applied, in both diabetic and nondiabetic patients, separately. To investigate the efficacy of factor analysis, we used discriminant analysis. We investigated 3535 diabetic patients whose prevalence of retinopathy was 53.4%. Six factors were extracted in each group (i.e. diabetic and nondiabetic groups). These six factors were explained 69.5% and 69.6% of total variance in diabetic and nondiabetic groups, respectively. Using original variables such as sex, weight, blood sugar control method, and some laboratory variables, the correct classification rate of discriminant analysis was identified as 67.4%. However, it decreased to 49.5% by using extracted factors. Retinopathy is one of the important disorders in diabetic patients that involves a large number of variables and can affect its incidence. By the method of factor analysis, we summarize diabetic retinopathy risk factors. Factor analysis is applied separately, in two diabetic and nondiabetic group. In this way, 10 variables were summarized into the six factors. Discriminant analysis was used to investigate the efficacy of factor analysis. Although factor analysis is a powerful way to reduce the number of variables, in this study did not worked very well.

  3. Comparing of Cox model and parametric models in analysis of effective factors on event time of neuropathy in patients with type 2 diabetes.

    Science.gov (United States)

    Kargarian-Marvasti, Sadegh; Rimaz, Shahnaz; Abolghasemi, Jamileh; Heydari, Iraj

    2017-01-01

    Cox proportional hazard model is the most common method for analyzing the effects of several variables on survival time. However, under certain circumstances, parametric models give more precise estimates to analyze survival data than Cox. The purpose of this study was to investigate the comparative performance of Cox and parametric models in a survival analysis of factors affecting the event time of neuropathy in patients with type 2 diabetes. This study included 371 patients with type 2 diabetes without neuropathy who were registered at Fereydunshahr diabetes clinic. Subjects were followed up for the development of neuropathy between 2006 to March 2016. To investigate the factors influencing the event time of neuropathy, significant variables in univariate model ( P Cox and parametric models ( P Cox and parametric models, ethnicity, high-density lipoprotein and family history of diabetes were identified as predictors of event time of neuropathy ( P Cox and parametric models. According to the results of comparison of survival receiver operating characteristics curves, log-normal model was considered as the most efficient and fitted model.

  4. Integrating human factors into process hazard analysis

    International Nuclear Information System (INIS)

    Kariuki, S.G.; Loewe, K.

    2007-01-01

    A comprehensive process hazard analysis (PHA) needs to address human factors. This paper describes an approach that systematically identifies human error in process design and the human factors that influence its production and propagation. It is deductive in nature and therefore considers human error as a top event. The combinations of different factors that may lead to this top event are analysed. It is qualitative in nature and is used in combination with other PHA methods. The method has an advantage because it does not look at the operator error as the sole contributor to the human failure within a system but a combination of all underlying factors

  5. Analysis of the effects of five factors relevant to in vitro chondrogenesis of human mesenchymal stem cells using factorial design and high throughput mRNA-profiling.

    Science.gov (United States)

    Jakobsen, Rune B; Østrup, Esben; Zhang, Xiaolan; Mikkelsen, Tarjei S; Brinchmann, Jan E

    2014-01-01

    The in vitro process of chondrogenic differentiation of mesenchymal stem cells for tissue engineering has been shown to require three-dimensional culture along with the addition of differentiation factors to the culture medium. In general, this leads to a phenotype lacking some of the cardinal features of native articular chondrocytes and their extracellular matrix. The factors used vary, but regularly include members of the transforming growth factor β superfamily and dexamethasone, sometimes in conjunction with fibroblast growth factor 2 and insulin-like growth factor 1, however the use of soluble factors to induce chondrogenesis has largely been studied on a single factor basis. In the present study we combined a factorial quality-by-design experiment with high-throughput mRNA profiling of a customized chondrogenesis related gene set as a tool to study in vitro chondrogenesis of human bone marrow derived mesenchymal stem cells in alginate. 48 different conditions of transforming growth factor β 1, 2 and 3, bone morphogenetic protein 2, 4 and 6, dexamethasone, insulin-like growth factor 1, fibroblast growth factor 2 and cell seeding density were included in the experiment. The analysis revealed that the best of the tested differentiation cocktails included transforming growth factor β 1 and dexamethasone. Dexamethasone acted in synergy with transforming growth factor β 1 by increasing many chondrogenic markers while directly downregulating expression of the pro-osteogenic gene osteocalcin. However, all factors beneficial to the expression of desirable hyaline cartilage markers also induced undesirable molecules, indicating that perfect chondrogenic differentiation is not achievable with the current differentiation protocols.

  6. Analysis of the effects of five factors relevant to in vitro chondrogenesis of human mesenchymal stem cells using factorial design and high throughput mRNA-profiling.

    Directory of Open Access Journals (Sweden)

    Rune B Jakobsen

    Full Text Available The in vitro process of chondrogenic differentiation of mesenchymal stem cells for tissue engineering has been shown to require three-dimensional culture along with the addition of differentiation factors to the culture medium. In general, this leads to a phenotype lacking some of the cardinal features of native articular chondrocytes and their extracellular matrix. The factors used vary, but regularly include members of the transforming growth factor β superfamily and dexamethasone, sometimes in conjunction with fibroblast growth factor 2 and insulin-like growth factor 1, however the use of soluble factors to induce chondrogenesis has largely been studied on a single factor basis. In the present study we combined a factorial quality-by-design experiment with high-throughput mRNA profiling of a customized chondrogenesis related gene set as a tool to study in vitro chondrogenesis of human bone marrow derived mesenchymal stem cells in alginate. 48 different conditions of transforming growth factor β 1, 2 and 3, bone morphogenetic protein 2, 4 and 6, dexamethasone, insulin-like growth factor 1, fibroblast growth factor 2 and cell seeding density were included in the experiment. The analysis revealed that the best of the tested differentiation cocktails included transforming growth factor β 1 and dexamethasone. Dexamethasone acted in synergy with transforming growth factor β 1 by increasing many chondrogenic markers while directly downregulating expression of the pro-osteogenic gene osteocalcin. However, all factors beneficial to the expression of desirable hyaline cartilage markers also induced undesirable molecules, indicating that perfect chondrogenic differentiation is not achievable with the current differentiation protocols.

  7. 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.

  8. Analysis of the spatial-temporal change and impact factors of the vegetation index in Yulin of China: the effect of forest conservation and grain for green

    Science.gov (United States)

    Liu, D.; Luan, J.; Lin, M.; Huang, Q.

    2017-12-01

    Since 1999, China began the Grain for Green program to conserve the forest in the north of China. After 17 years, the vegetation in the north has changed. Vegetation index is an important method to study the regional vegetation change. This study is based on MODIS/Terra NDVI remote sensing data, and analyzes the spatial-temporal changes and the impact factors of the NDVI in August from 2000 to 2016 at pixel scale in Yulin City of Shaanxi Province in China. The results showed that, on about 96.44% of the region in the Yulin city, vegetation index increased, and the area with increasing NDVI between 0-0.02/a accounts for 93.63% of Yulin city. The area with significant increasing trend accounts for 80.72%. The complex linear regression analysis showed that, the meteorological factors play a positive role in the growth and evolution of vegetation, and human activities also make the vegetation index become more uniform. The area, where the human activities restrain the growth and evolution of the vegetation, is 45.04% of the Yulin area. It is mainly distributed in Fugu County which located in the north of Yulin, and most areas of southern and western parts of Yulin. The area where human activities promote the increase of the vegetation index, accounted for 54.96% of the Yulin area, which indicated that on more than half of the region, human activities have played a positive role in the growth of vegetation. In these areas, the effect of forest conservation, and grain for green (i.e. returning farmland to forests, and returning pasturage to natural grassland) is better.

  9. Effectiveness and Factors Determining the Success of Management Programs for Patients With Heart Failure: A Systematic Review and Meta-analysis.

    Science.gov (United States)

    Oyanguren, Juana; Latorre García, Pedro María; Torcal Laguna, Jesús; Lekuona Goya, Iñaki; Rubio Martín, Susana; Maull Lafuente, Elena; Grandes, Gonzalo

    2016-10-01

    Heart failure management programs reduce hospitalizations. Some studies also show reduced mortality. The determinants of program success are unknown. The aim of the present study was to update our understanding of the reductions in mortality and readmissions produced by these programs, elucidate their components, and identify the factors determining program success. Systematic literature review (1990-2014; PubMed, EMBASE, CINAHL, Cochrane Library) and manual search of relevant journals. The studies were selected by 3 independent reviewers. Methodological quality was evaluated in a blinded manner by an external researcher (Jadad scale). These results were pooled using random effects models. Heterogeneity was evaluated with the I 2 statistic, and its explanatory factors were determined using metaregression analysis. Of the 3914 studies identified, 66 randomized controlled clinical trials were selected (18 countries, 13 535 patients). We determined the relative risks to be 0.88 for death (95% confidence interval [95%CI], 0.81-0.96; P failure readmissions (95%CI, 0.71-0.90; P success were implementation after 2001, program location outside the United States, greater baseline use of angiotensin-converting enzyme inhibitors/angiotensin receptor blockers, a higher number of intervention team members and components, specialized heart failure cardiologists and nurses, protocol-driven education and its assessment, self-monitoring of signs and symptoms, detection of deterioration, flexible diuretic regimen, early care-seeking among patients and prompt health care response, psychosocial intervention, professional coordination, and program duration. We confirm the reductions in mortality and readmissions with heart failure management programs. Their success is associated with various structural and intervention variables. Copyright © 2016 Sociedad Española de Cardiología. Published by Elsevier España, S.L.U. All rights reserved.

  10. Factor Economic Analysis at Forestry Enterprises

    Directory of Open Access Journals (Sweden)

    M.Yu. Chik

    2018-03-01

    Full Text Available The article studies the importance of economic analysis according to the results of research of scientific works of domestic and foreign scientists. The calculation of the influence of factors on the change in the cost of harvesting timber products by cost items has been performed. The results of the calculation of the influence of factors on the change of costs on 1 UAH are determined using the full cost of sold products. The variable and fixed costs and their distribution are allocated that influences the calculation of the impact of factors on cost changes on 1 UAH of sold products. The paper singles out the general results of calculating the influence of factors on cost changes on 1 UAH of sold products. According to the results of the analysis, the list of reserves for reducing the cost of production at forest enterprises was proposed. The main sources of reserves for reducing the prime cost of forest products at forest enterprises are investigated based on the conducted factor analysis.

  11. 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…

  12. A FACTOR ANALYSIS OF ATTITUDE OF EDUCATION FRATERNITY TOWARDS THE ROLE OF TECHNOLOGY IN EFFECTIVE LEARNING: AN EMPIRICAL STUDY IN HIGHER EDUCATION INSTITUTION

    Directory of Open Access Journals (Sweden)

    Kapoor Toran

    2013-06-01

    Full Text Available Use of Technology is empowering teachers and students, and enhancing teaching and students’ achievement which has been highlighted in several studies. Well planned lessons integrating technology are often more engaging, memorable and inspiring to students (Tornabene, 1998. Attitudes refer to one’s positive or negative judgment about a concrete subject. Attitude is a major predictor of future use of technology. Student teachers have positive attitude and are highly enthusiastic about interactive whiteboards as an important feature of teaching and learning, and this motivated them to practice using the technology (Kennewell, & Morgan, 2003. The purpose is to create new opportunities in teaching and learning by integrating computer, multimedia, and network technologies. However, it is not clear whether use of this new technology will automatically result in effective learning or make students dependent on technology to learn. Will Students use Technology appropriately? The same doubts prevailed with the invention of the printing press, radio, and television. All of them have positively contributed in access to information that can be transformed into knowledge and wisdom thereafter. Proper use of technology can become an effective tool to enhance learning. This research is an attempt in understanding the attitude of teachers as well as students towards the role of technology in higher education. The study is based on primary data collected through a sample size of 130 units consisting of 100 students and 30 teachers from universities located in NCR, India. Factor analysis has been conducted to measure the attitude of the teachers and the students. The study was been conducted in NCR, India and leaves the scope of further research in Higher Education across the globe.

  13. 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.

  14. Corrosion effects on friction factors

    International Nuclear Information System (INIS)

    Magleby, H.L.; Shaffer, S.J.

    1996-01-01

    This paper presents the results of NRC-sponsored material specimen tests that were performed to determine if corrosion increases the friction factors of sliding surfaces of motor-operated gate valves, which could require higher forces to close and open safety-related valves when subjected to their design basis differential pressures. Friction tests were performed with uncorroded specimens and specimens subjected to accelerated corrosion. Preliminary tests at ambient conditions showed that corrosion increased the friction factors, indicating the need for additional tests duplicating valve operating parameters at hot conditions. The additional tests showed friction factors of corroded specimens were 0.1 to 0.2 higher than for uncorroded specimens, and that the friction factors of the corroded specimens were not very dependent on contact stress or corrosion film thickness. The measured values of friction factors for the three corrosion films tested (simulating three operating times) were in the range of 0.3 to 0.4. The friction factor for even the shortest simulated operating time was essentially the same as the others, indicating that the friction factors appear to reach a plateau and that the plateau is reached quickly

  15. Identification and quantification of carbamate pesticides in dried lime tree flowers by means of excitation-emission molecular fluorescence and parallel factor analysis when quenching effect exists.

    Science.gov (United States)

    Rubio, L; Ortiz, M C; Sarabia, L A

    2014-04-11

    A non-separative, fast and inexpensive spectrofluorimetric method based on the second order calibration of excitation-emission fluorescence matrices (EEMs) was proposed for the determination of carbaryl, carbendazim and 1-naphthol in dried lime tree flowers. The trilinearity property of three-way data was used to handle the intrinsic fluorescence of lime flowers and the difference in the fluorescence intensity of each analyte. It also made possible to identify unequivocally each analyte. Trilinearity of the data tensor guarantees the uniqueness of the solution obtained through parallel factor analysis (PARAFAC), so the factors of the decomposition match up with the analytes. In addition, an experimental procedure was proposed to identify, with three-way data, the quenching effect produced by the fluorophores of the lime flowers. This procedure also enabled the selection of the adequate dilution of the lime flowers extract to minimize the quenching effect so the three analytes can be quantified. Finally, the analytes were determined using the standard addition method for a calibration whose standards were chosen with a D-optimal design. The three analytes were unequivocally identified by the correlation between the pure spectra and the PARAFAC excitation and emission spectral loadings. The trueness was established by the accuracy line "calculated concentration versus added concentration" in all cases. Better decision limit values (CCα), in x0=0 with the probability of false positive fixed at 0.05, were obtained for the calibration performed in pure solvent: 2.97 μg L(-1) for 1-naphthol, 3.74 μg L(-1) for carbaryl and 23.25 μg L(-1) for carbendazim. The CCα values for the second calibration carried out in matrix were 1.61, 4.34 and 51.75 μg L(-1) respectively; while the values obtained considering only the pure samples as calibration set were: 2.65, 8.61 and 28.7 μg L(-1), respectively. Copyright © 2014 Elsevier B.V. All rights reserved.

  16. Individual and Interactive Effects of Socio-Ecological Factors on Dengue Fever at Fine Spatial Scale: A Geographical Detector-Based Analysis.

    Science.gov (United States)

    Cao, Zheng; Liu, Tao; Li, Xing; Wang, Jin; Lin, Hualiang; Chen, Lingling; Wu, Zhifeng; Ma, Wenjun

    2017-07-17

    Background : Large spatial heterogeneity was observed in the dengue fever outbreak in Guangzhou in 2014, however, the underlying reasons remain unknown. We examined whether socio-ecological factors affected the spatial distribution and their interactive effects. Methods : Moran's I was applied to first examine the spatial cluster of dengue fever in Guangzhou. Nine socio-ecological factors were chosen to represent the urbanization level, economy, accessibility, environment, and the weather of the 167 townships/streets in Guangzhou, and then the geographical detector was applied to analyze the individual and interactive effects of these factors on the dengue outbreak. Results : Four clusters of dengue fever were identified in Guangzhou in 2014, including one hot spot in the central area of Guangzhou and three cold spots in the suburban districts. For individual effects, the temperature ( q = 0.33) was the dominant factor of dengue fever, followed by precipitation ( q = 0.24), road density ( q = 0.24), and water body area ( q = 0.23). For the interactive effects, the combination of high precipitation, high temperature, and high road density might result in increased dengue fever incidence. Moreover, urban villages might be the dengue fever hot spots. Conclusions : Our study suggests that some socio-ecological factors might either separately or jointly influence the spatial distribution of dengue fever in Guangzhou.

  17. Bayesian multivariate meta-analysis of multiple factors.

    Science.gov (United States)

    Lin, Lifeng; Chu, Haitao

    2018-02-09

    In medical sciences, a disease condition is typically associated with multiple risk and protective factors. Although many studies report results of multiple factors, nearly all meta-analyses separately synthesize the association between each factor and the disease condition of interest. The collected studies usually report different subsets of factors, and the results from separate analyses on multiple factors may not be comparable because each analysis may use different subpopulation. This may impact on selecting most important factors to design a multifactor intervention program. This article proposes a new concept, multivariate meta-analysis of multiple factors (MVMA-MF), to synthesize all available factors simultaneously. By borrowing information across factors, MVMA-MF can improve statistical efficiency and reduce biases compared with separate analyses when factors were missing not at random. As within-study correlations between factors are commonly unavailable from published articles, we use a Bayesian hybrid model to perform MVMA-MF, which effectively accounts for both within- and between-study correlations. The performance of MVMA-MF and the conventional methods are compared using simulations and an application to a pterygium dataset consisting of 29 studies on 8 risk factors. Copyright © 2018 John Wiley & Sons, Ltd.

  18. Effective factors on adoption ofinnovation in organizational IT ...

    African Journals Online (AJOL)

    ... organizational factors and human factors have a positive and significant effect on adoption of new technologies. The results of analysis of regression and simple linear regression revealed that organizational and innovation variables have highest coefficients with most effectiveness in adoption of new technologies in IT.

  19. 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.

  20. Donor retention in health care in Iran: a factor analysis.

    Science.gov (United States)

    Aghababa, Sara; Nasiripour, Amir Ashkan; Maleki, Mohammadreza; Gohari, Mahmoodreza

    2017-01-01

    Background: Long-term financial support is essential for the survival of a charitable organization. Health charities need to identify the effective factors influencing donor retention. Methods: In the present study, the items of a questionnaire were derived from both literature review and semi-structured interviews related to donor retention. Using a purposive sampling, 300 academic and executive practitioners were selected. After the follow- up, a total of 243 usable questionnaires were prepared for factor analysis. The questionnaire was validated based on the face and content validity and reliability through Cronbach's α-coefficient. Results: The results of exploratory factor analysis extracted 2 factors for retention: donor factor (variance = 33.841%; Cronbach's α-coefficient = 90.2) and charity factor (variance = 29.038%; Cronbach's α-coefficient = 82.8), respectively. Subsequently, confirmatory factor analysis was applied to support the overall reasonable fit. Conclusions: In this study, it was found that repeated monetary donations are supplied to the charitable organizations when both aspects of donor factor (retention factor and charity factor) for retention are taken into consideration. This model could provide a perspective for making sustainable donations and charitable giving.

  1. Nominal Performance Biosphere Dose Conversion Factor Analysis

    International Nuclear Information System (INIS)

    M. Wasiolek

    2004-01-01

    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 activity in groundwater and the annual dose

  2. Testing Process Factor Analysis Models Using the Parametric Bootstrap.

    Science.gov (United States)

    Zhang, Guangjian

    2018-01-01

    Process factor analysis (PFA) is a latent variable model for intensive longitudinal data. It combines P-technique factor analysis and time series analysis. The goodness-of-fit test in PFA is currently unavailable. In the paper, we propose a parametric bootstrap method for assessing model fit in PFA. We illustrate the test with an empirical data set in which 22 participants rated their effects everyday over a period of 90 days. We also explore Type I error and power of the parametric bootstrap test with simulated data.

  3. Factor analysis for exercise stress radionuclide ventriculography

    International Nuclear Information System (INIS)

    Hirota, Kazuyoshi; Yasuda, Mitsutaka; Oku, Hisao; Ikuno, Yoshiyasu; Takeuchi, Kazuhide; Takeda, Tadanao; Ochi, Hironobu

    1987-01-01

    Using factor analysis, a new image processing in exercise stress radionuclide ventriculography, changes in factors associated with exercise were evaluated in 14 patients with angina pectoris or old myocardial infarction. The patients were imaged in the left anterior oblique projection, and three factor images were presented on a color coded scale. Abnormal factors (AF) were observed in 6 patients before exercise, 13 during exercise, and 4 after exercise. In 7 patients, the occurrence of AF was associated with exercise. Five of them became free from AF after exercise. Three patients showing AF before exercise had aggravation of AF during exercise. Overall, the occurrence or aggravation of AF was associated with exercise in ten (71 %) of the patients. The other three patients, however, had disappearance of AF during exercise. In the last patient, none of the AF was observed throughout the study. In view of a high incidence of AF associated with exercise, the factor analysis may have the potential in evaluating cardiac reverse from the viewpoint of left ventricular wall motion abnormality. (Namekawa, K.)

  4. Boolean Factor Analysis by Attractor Neural Network

    Czech Academy of Sciences Publication Activity Database

    Frolov, A. A.; Húsek, Dušan; Muraviev, I. P.; Polyakov, P.Y.

    2007-01-01

    Roč. 18, č. 3 (2007), s. 698-707 ISSN 1045-9227 R&D Projects: GA AV ČR 1ET100300419; GA ČR GA201/05/0079 Institutional research plan: CEZ:AV0Z10300504 Keywords : recurrent neural network * Hopfield-like neural network * associative memory * unsupervised learning * neural network architecture * neural network application * statistics * Boolean factor analysis * dimensionality reduction * features clustering * concepts search * information retrieval Subject RIV: BB - Applied Statistics, Operational Research Impact factor: 2.769, year: 2007

  5. Nominal Performance Biosphere Dose Conversion Factor Analysis

    Energy Technology Data Exchange (ETDEWEB)

    M.A. Wasiolek

    2003-07-25

    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 model. The ''Biosphere Model Report'' (BSC 2003 [DIRS 164186]) describes in detail the ERMYN conceptual model and mathematical model. The input parameter reports (BSC 2003 [DIRS 160964]; BSC 2003 [DIRS 160965]; BSC 2003 [DIRS 160976]; BSC 2003 [DIRS 161239]; BSC 2003 [DIRS 161241]) contain detailed description of the model input parameters. 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 and conversion factors for the TSPA. The BDCFs will be used in performance assessment for calculating annual doses for a given concentration of radionuclides in groundwater. The conversion factors will be used for calculating gross alpha particle activity in groundwater and the annual dose from beta- and photon-emitting radionuclides.

  6. 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

  7. Nominal Performance Biosphere Dose Conversion Factor Analysis

    International Nuclear Information System (INIS)

    M.A. Wasiolek

    2005-01-01

    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'' (Figure 1-1). The objectives of this analysis are to develop BDCFs for the

  8. Factors Influencing Donor Partnership Effectiveness

    International Development Research Centre (IDRC) Digital Library (Canada)

    (UN Global Compact Office, 2007); and “an alliance between organizations from two or more ... programs related to the environment, global health, and ..... partnering process and the factors of influence, drawing on an example of a flagship initiative with a bilateral donor for an environment-focused program. As in most joint ...

  9. 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.

  10. 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...

  11. An additive factor analysis of the effect of sub-anaesthetic doses of nitrous oxide on information processing: evidence for an impairment of the motor adjustment stage.

    Science.gov (United States)

    Courtière, Alain; Hardouin, Jeannine; Vidal, Franck; Possamaï, Camille-Aimé; Hasbroucq, Thierry

    2003-02-01

    Nitrous oxide (N(2)O) inhalation, at subanaesthetic concentrations, impairs choice reaction time (RT). However, the functional locus of this effect remains to be ascertained. In the present study, this issue was investigated by applying the additive factor logic to the RTs of rats performing a visuo-motor task. The task consisted of either a left-side or a right-side body displacement to a visual stimulus displayed in either the left or right hemispace. The experimental design involved the manipulation of two task factors (stimulus luminance and foreperiod duration) the effects of which are additive on RT. Inhaled N(2)O (from 0% to 60%) was varied as the third factor of the design. N(2)O prolonged RT in a dose-dependent manner and this effect was additive with that of stimulus luminance, whilst it interacted with that of foreperiod duration. Moreover, at low concentrations (10-20%), N(2)O abolished the effect of foreperiod, possibly through a disturbance of time estimation processes, whereas at higher concentrations (30-40%) N(2)O enhanced the effect of foreperiod, probably by slowing down motor processes. Movement time (MT) was decreased by N(2)O at 20-40%. The present data provide evidence that N(2)O impairs information processing by altering at least the stage of motor adjustment. In addition, N(2)O spares the sensory processes implemented during the stimulus preprocessing stage. A subsidiary result is that at some concentrations, N(2)O displays opposite effects on reaction time and movement time. These results demonstrate that the additive factor method constitutes a powerful new tool for studying the pharmacology of information processing in animal models.

  12. 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.

  13. Nominal Performance Biosphere Dose Conversion Factor Analysis

    International Nuclear Information System (INIS)

    Wasiolek, M.

    2000-01-01

    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

  14. DISRUPTIVE EVENT BIOSPHERE DOSE CONVERSION FACTOR ANALYSIS

    International Nuclear Information System (INIS)

    M.A. Wasiolek

    2005-01-01

    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 2005 [DIRS 172827]; 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'' (Figure 1-1). The objective of this analysis was to develop the BDCFs for the volcanic

  15. 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.

  16. Clinical learning environment inventory: factor analysis.

    Science.gov (United States)

    Newton, Jennifer M; Jolly, Brian C; Ockerby, Cherene M; Cross, Wendy M

    2010-06-01

    This paper is a report of the psychometric testing of the Clinical Learning Environment Inventory. The clinical learning environment is a complex socio-cultural entity that offers a variety of opportunities to engage or disengage in learning. The Clinical Learning Environment Inventory is a self-report instrument consisting of 42 items classified into six scales: personalization, student involvement, task orientation, innovation, satisfaction and individualization. It was developed to examine undergraduate nursing students' perceptions of the learning environment whilst on placement in clinical settings. As a component of a longitudinal project, Bachelor of Nursing students (n = 659) from two campuses of a university in Australia, completed the Clinical Learning Environment Inventory from 2006 to 2008. Principal components analysis using varimax rotation was conducted to explore the factor structure of the inventory. Data for 513 students (77%) were eligible for inclusion. Constraining data to a 6-factor solution explained 51% of the variance. The factors identified were: student-centredness, affordances and engagement, individualization, fostering workplace learning, valuing nurses' work, and innovative and adaptive workplace culture. These factors were reviewed against recent theoretical developments in the literature. The study offers an empirically based and theoretically informed extension of the original Clinical Learning Environment Inventory, which had previously relied on ad hoc clustering of items and the use of internal reliability of its sub-scales. Further research is required to establish the consistency of these new factors.

  17. Effectiveness of enforcement levels of speed limit and drink driving laws and associated factors – Exploratory empirical analysis using a bivariate ordered probit model

    Directory of Open Access Journals (Sweden)

    Behram Wali

    2017-06-01

    Full Text Available The contemporary traffic safety research comprises little information on quantifying the simultaneous association between drink driving and speeding among fatally injured drivers. Potential correlation between driver's drink driving and speeding behavior poses a substantial methodological concern which needs investigation. This study therefore focused on investigating the simultaneous impact of socioeconomic factors, fatalities, vehicle ownership, health services and highway agency road safety policies on enforcement levels of speed limit and drink driving laws. The effectiveness of enforcement levels of speed limit and drink driving laws has been investigated through development of bivariate ordered probit model using data extricated from WHO's global status report on road safety in 2013. The consistent and intuitive parameter estimates along with statistically significant correlation between response outcomes validates the statistical supremacy of bivariate ordered probit model. The results revealed that fatalities per thousand registered vehicles, hospital beds per hundred thousand population and road safety policies are associated with a likely medium or high effectiveness of enforcement levels of speed limit and drink driving laws, respectively. Also, the model encapsulates the effect of several other agency related variables and socio-economic status on the response outcomes. Marginal effects are reported for analyzing the impact of such factors on intermediate categories of response outcomes. The results of this study are expected to provide necessary insights to elemental enforcement programs. Also, marginal effects of explanatory variables may provide useful directions for formulating effective policy countermeasures for overcoming driver's speeding and drink driving behavior.

  18. 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

  19. Characterization by factor analysis of the chemical facies of ...

    African Journals Online (AJOL)

    ... the rain-dissolution of sulphur bearing compounds from gaseous emanations arising from vehicles and the petroleum refining process respectively, which eventually as acid-rain recharges aquifers in the vicinity. This paper demonstrates the effectiveness of factor analysis in evaluating hydrochemical processes in coastal

  20. 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.

  1. Disruptive Event Biosphere Dose Conversion Factor Analysis

    International Nuclear Information System (INIS)

    M. A. Wasiolek

    2003-01-01

    This analysis report, ''Disruptive Event Biosphere Dose Conversion Factor Analysis'', is one of the technical reports containing documentation of the ERMYN (Environmental Radiation Model for Yucca Mountain Nevada) biosphere model for the geologic repository at Yucca Mountain, its input parameters, and the application of the model to perform the dose assessment for the repository. The biosphere model is one of a series of process models supporting the Total System Performance Assessment (TSPA) for the Yucca Mountain repository. 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 the two reports that develop biosphere dose conversion factors (BDCFs), which are input parameters for the TSPA model. The ''Biosphere Model Report'' (BSC 2003 [DIRS 164186]) describes in detail the conceptual model as well as the mathematical model and lists its input parameters. Model input parameters are developed and described in detail in five analysis report (BSC 2003 [DIRS 160964], BSC 2003 [DIRS 160965], BSC 2003 [DIRS 160976], BSC 2003 [DIRS 161239], and BSC 2003 [DIRS 161241]). The objective of this analysis was to develop the BDCFs for the volcanic ash exposure scenario and the dose factors (DFs) for calculating inhalation doses during volcanic eruption (eruption phase of the volcanic event). The volcanic ash exposure scenario is hereafter referred to as the volcanic ash scenario. For the volcanic ash scenario, the mode of radionuclide release into the biosphere is a volcanic eruption through the repository with the resulting entrainment of contaminated waste in the tephra and the subsequent atmospheric transport and dispersion of contaminated material in the biosphere. The biosphere process

  2. Disruptive Event Biosphere Dose Conversion Factor Analysis

    Energy Technology Data Exchange (ETDEWEB)

    M. A. Wasiolek

    2003-07-21

    This analysis report, ''Disruptive Event Biosphere Dose Conversion Factor Analysis'', is one of the technical reports containing documentation of the ERMYN (Environmental Radiation Model for Yucca Mountain Nevada) biosphere model for the geologic repository at Yucca Mountain, its input parameters, and the application of the model to perform the dose assessment for the repository. The biosphere model is one of a series of process models supporting the Total System Performance Assessment (TSPA) for the Yucca Mountain repository. 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 the two reports that develop biosphere dose conversion factors (BDCFs), which are input parameters for the TSPA model. The ''Biosphere Model Report'' (BSC 2003 [DIRS 164186]) describes in detail the conceptual model as well as the mathematical model and lists its input parameters. Model input parameters are developed and described in detail in five analysis report (BSC 2003 [DIRS 160964], BSC 2003 [DIRS 160965], BSC 2003 [DIRS 160976], BSC 2003 [DIRS 161239], and BSC 2003 [DIRS 161241]). The objective of this analysis was to develop the BDCFs for the volcanic ash exposure scenario and the dose factors (DFs) for calculating inhalation doses during volcanic eruption (eruption phase of the volcanic event). The volcanic ash exposure scenario is hereafter referred to as the volcanic ash scenario. For the volcanic ash scenario, the mode of radionuclide release into the biosphere is a volcanic eruption through the repository with the resulting entrainment of contaminated waste in the tephra and the subsequent atmospheric transport and dispersion of contaminated material in

  3. Capital Cost Optimization for Prefabrication: A Factor Analysis Evaluation Model

    Directory of Open Access Journals (Sweden)

    Hong Xue

    2018-01-01

    Full Text Available High capital cost is a significant hindrance to the promotion of prefabrication. In order to optimize cost management and reduce capital cost, this study aims to explore the latent factors and factor analysis evaluation model. Semi-structured interviews were conducted to explore potential variables and then questionnaire survey was employed to collect professionals’ views on their effects. After data collection, exploratory factor analysis was adopted to explore the latent factors. Seven latent factors were identified, including “Management Index”, “Construction Dissipation Index”, “Productivity Index”, “Design Efficiency Index”, “Transport Dissipation Index”, “Material increment Index” and “Depreciation amortization Index”. With these latent factors, a factor analysis evaluation model (FAEM, divided into factor analysis model (FAM and comprehensive evaluation model (CEM, was established. The FAM was used to explore the effect of observed variables on the high capital cost of prefabrication, while the CEM was used to evaluate comprehensive cost management level on prefabrication projects. Case studies were conducted to verify the models. The results revealed that collaborative management had a positive effect on capital cost of prefabrication. Material increment costs and labor costs had significant impacts on production cost. This study demonstrated the potential of on-site management and standardization design to reduce capital cost. Hence, collaborative management is necessary for cost management of prefabrication. Innovation and detailed design were needed to improve cost performance. The new form of precast component factories can be explored to reduce transportation cost. Meanwhile, targeted strategies can be adopted for different prefabrication projects. The findings optimized the capital cost and improved the cost performance through providing an evaluation and optimization model, which helps managers to

  4. Determining the Number of Factors in P-Technique Factor Analysis

    Science.gov (United States)

    Lo, Lawrence L.; Molenaar, Peter C. M.; Rovine, Michael

    2017-01-01

    Determining the number of factors is a critical first step in exploratory factor analysis. Although various criteria and methods for determining the number of factors have been evaluated in the usual between-subjects R-technique factor analysis, there is still question of how these methods perform in within-subjects P-technique factor analysis. A…

  5. Exploratory Bi-Factor Analysis: The Oblique Case

    Science.gov (United States)

    Jennrich, Robert I.; Bentler, Peter M.

    2012-01-01

    Bi-factor analysis is a form of confirmatory factor analysis originally introduced by Holzinger and Swineford ("Psychometrika" 47:41-54, 1937). The bi-factor model has a general factor, a number of group factors, and an explicit bi-factor structure. Jennrich and Bentler ("Psychometrika" 76:537-549, 2011) introduced an exploratory form of bi-factor…

  6. Factors Effecting on Study Habits

    Science.gov (United States)

    Khan, Zebun Nisa

    2016-01-01

    The present study was undertaken with the objectives to find out the impact of Socio-economic Status as well as sex differences on study habits of class VII students (100) of Government Colleges of Amroha District. The effects of two independent variables on study habits of the aforementioned students were assessed by using two Psychological tests…

  7. 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…

  8. Sensitivity Analysis of Selected DIVOPS Input Factors

    Science.gov (United States)

    1977-12-01

    v40. .............. o..... ....... H-3 viii CAA- TD -77-9 SENSITIVITY ANALYSIS OF SELECTED DIVOPS INPUT FACTORS CHAPTER 1 INTRODUCTION 1-1. BACKGROUND...u UI 3,743 3,79 3,183 3.790 3,709 J.648 U 1 3,793 J.791 4,74b D 3.703 3.700 3.733 i 3,14U 3,147 3,844 3,0442 3.753 3.751 U 3,406 3,b70 J, IZ4 Jlbd J

  9. 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....

  10. Disruptive Event Biosphere Dose Conversion Factor Analysis

    International Nuclear Information System (INIS)

    M. Wasiolek

    2004-01-01

    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 analysis was to develop the BDCFs for the volcanic ash

  11. 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

  12. Hair analysis for drugs of abuse. XIII. Effect of structural factors on incorporation of drugs into hair: the incorporation rates of amphetamine analogs.

    Science.gov (United States)

    Nakahara, Y; Kikura, R

    1996-01-01

    In order to clarify the incorporation mechanism of drugs from blood into hair, seven effects of structural factors on the incorporation rate (ICR) were studied using 32 amphetamine analogs: (1) effect of a straight chained N-alkyl group; (2) effect of benzene and furan ring at N-position; (3) effect of aliphatic and aromatic hydroxy groups; (4) effect of triple bond group at N-position; (5) effect of N-acyl group and ketone group; (6) effect of methylenedioxy and methoxy groups on benzene ring; and (7) comparison between phenyltertiarybutylamines and phenylisopropylamines. After shaving the back hair and i.p. administration of drugs to Dark-Agouti rats (5 mg/kg, 10 days, n = 3), the areas under the concentration versus time curve (AUCs) of drugs in the plasma and the concentrations in hair newly grown for 4 weeks were determined by gas chromatography-mass spectrometry. The ICRs represented by the ratios of hair concentrations to AUCs were compared with those of amphetamine (AP) and methamphetamine (MA). The ICRs of N-alkyl AP increased depending on the length of carbon branches from proton to propyl (C3 > C2 > C1 > H) at N-position. The compounds containing a benzene or furan ring at the N-position (benzphetamine, clobenzorex, norbenzphetamine, prenylamine, furfenorex, and norfurfenorex) had much higher ICRs than those of AP or MA, suggesting that a benzene or furan ring increases their ICRs. The ICRs of deprenyl, nordeprenyl, and fenproporex were significantly low, implying that triple bonds such as of a propargyl or cyano group serve as a negative factor for the ICRs. An ephedrine group (ephedrine, methylephedrine, phenylpropanolamine) showed slightly lower ICRs than the corresponding amphetamine group. However, a hydroxy group on benzene ring apparently decreased the ICRs. Methoxy and methylenedioxy groups on benzene ring distinctly increased their ICRs. The lack of basicity such as N-formyl MA, N-acetyl AP, and N-acetyl MA dramatically lowered their ICRs to

  13. Analysis of IFR driver fuel hot channel factors

    International Nuclear Information System (INIS)

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

    1994-01-01

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

  14. Analysis of IFR driver fuel hot channel factors

    International Nuclear Information System (INIS)

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

    2004-01-01

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

  15. A Review of CEFA Software: Comprehensive Exploratory Factor Analysis Program

    Science.gov (United States)

    Lee, Soon-Mook

    2010-01-01

    CEFA 3.02(Browne, Cudeck, Tateneni, & Mels, 2008) is a factor analysis computer program designed to perform exploratory factor analysis. It provides the main properties that are needed for exploratory factor analysis, namely a variety of factoring methods employing eight different discrepancy functions to be minimized to yield initial…

  16. Determining the Number of Factors to Retain in an Exploratory Factor Analysis Using Comparison Data of Known Factorial Structure

    Science.gov (United States)

    Ruscio, John; Roche, Brendan

    2012-01-01

    Exploratory factor analysis (EFA) is used routinely in the development and validation of assessment instruments. One of the most significant challenges when one is performing EFA is determining how many factors to retain. Parallel analysis (PA) is an effective stopping rule that compares the eigenvalues of randomly generated data with those for…

  17. Biomechanic and histologic analysis of fibroblastic effects of tendon-to-bone healing by transforming growth factor β1 (TGF-β1) in rotator cuff tears.

    Science.gov (United States)

    Zhang, Chong; Liu, Yu-Jie

    2017-12-01

    To evaluate the effect of transforming growth factor β1 (TGF-β1) on tendon-to-bone reconstruction of rotator cuff tears. Seventy-two rat supraspinatus tendons were transected and reconstructed in situ. At 8 and 16 weeks, specimens of three groups; that is control, L-dose (low dose), and H-dose (high dose) were harvested and underwent a biomechanical test to evaluate the maximum load and stiffness values. Histology sections of the tendon-to-bone interface were identified by hematoxylin-eosin or Masson trichrome stain. Collagen type III was observed by picric acid sirius red staining under polarized light. The level of insulin-like growth factor 1 (IGF-1) and vascular endothelial growth factor (VEGF) was measured by the enzyme-linked immunosorbent assay (ELISA) method. Collagen type III of the H-dose group had a significant difference in histology structure compared with the L-dose group (P<0.05). The maximum load and stiffness decreased significantly in the control group compared with the values of the L-dose and H-dose groups. The stiffness among the three groups differed significantly at the same postoperative time (P<0.05). Interestingly, progressive reestablishment of collagen type III affected tendon-to-bone healing significantly in the later stages. The H-dose was associated with an increased collagen type III morphology stimulated by TGF-β1.

  18. Cost-effectiveness analysis of risk-factor guided and birth-cohort screening for chronic hepatitis C infection in the United States.

    Directory of Open Access Journals (Sweden)

    Shan Liu

    Full Text Available No consensus exists on screening to detect the estimated 2 million Americans unaware of their chronic hepatitis C infections. Advisory groups differ, recommending birth-cohort screening for baby boomers, screening only high-risk individuals, or no screening. We assessed one-time risk assessment and screening to identify previously undiagnosed 40-74 year-olds given newly available hepatitis C treatments.A Markov model evaluated alternative risk-factor guided and birth-cohort screening and treatment strategies. Risk factors included drug use history, blood transfusion before 1992, and multiple sexual partners. Analyses of the National Health and Nutrition Examination Survey provided sex-, race-, age-, and risk-factor-specific hepatitis C prevalence and mortality rates. Nine strategies combined screening (no screening, risk-factor guided screening, or birth-cohort screening and treatment (standard therapy-peginterferon alfa and ribavirin, Interleukin-28B-guided (IL28B triple-therapy-standard therapy plus a protease inhibitor, or universal triple therapy. Response-guided treatment depended on HCV genotype. Outcomes include discounted lifetime costs (2010 dollars and quality adjusted life-years (QALYs. Compared to no screening, risk-factor guided and birth-cohort screening for 50 year-olds gained 0.7 to 3.5 quality adjusted life-days and cost $168 to $568 per person. Birth-cohort screening provided more benefit per dollar than risk-factor guided screening and cost $65,749 per QALY if followed by universal triple therapy compared to screening followed by IL28B-guided triple therapy. If only 10% of screen-detected, eligible patients initiate treatment at each opportunity, birth-cohort screening with universal triple therapy costs $241,100 per QALY. Assuming treatment with triple therapy, screening all individuals aged 40-64 years costs less than $100,000 per QALY.The cost-effectiveness of one-time birth-cohort hepatitis C screening for 40-64 year olds

  19. An Evaluation on Factors Influencing Decision making for Malaysia Disaster Management: The Confirmatory Factor Analysis Approach

    Science.gov (United States)

    Zubir, S. N. A.; Thiruchelvam, S.; Mustapha, K. N. M.; Che Muda, Z.; Ghazali, A.; Hakimie, H.

    2017-12-01

    For the past few years, natural disaster has been the subject of debate in disaster management especially in flood disaster. Each year, natural disaster results in significant loss of life, destruction of homes and public infrastructure, and economic hardship. Hence, an effective and efficient flood disaster management would assure non-futile efforts for life saving. The aim of this article is to examine the relationship between approach, decision maker, influence factor, result, and ethic to decision making for flood disaster management in Malaysia. The key elements of decision making in the disaster management were studied based on the literature. Questionnaire surveys were administered among lead agencies at East Coast of Malaysia in the state of Kelantan and Pahang. A total of 307 valid responses had been obtained for further analysis. Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were carried out to analyse the measurement model involved in the study. The CFA for second-order reflective and first-order reflective measurement model indicates that approach, decision maker, influence factor, result, and ethic have a significant and direct effect on decision making during disaster. The results from this study showed that decision- making during disaster is an important element for disaster management to necessitate a successful collaborative decision making. The measurement model is accepted to proceed with further analysis known as Structural Equation Modeling (SEM) and can be assessed for the future research.

  20. Late effects of radiation: host factors

    International Nuclear Information System (INIS)

    Fry, R.J.M.; Storer, J.B.

    1983-01-01

    The paper discusses the influence of host factors on radiation late effects and in particular cancer. Radiation induces cellular changes that result in initiated cells with a potential to become cancers. The expression of the initiated cells as tumors is influenced, if not determined, by both tissue and systemic factors that are sex-, age-, and species-dependent

  1. Estimation of the burden of cardiovascular disease attributable to modifiable risk factors and cost-effectiveness analysis of preventative interventions to reduce this burden in Argentina

    Directory of Open Access Journals (Sweden)

    Martí Sebastián

    2010-10-01

    Full Text Available Abstract Background Cardiovascular disease (CVD is the primary cause of mortality and morbidity in Argentina representing 34.2% of deaths and 12.6% of potential years of life lost (PYLL. The aim of the study was to estimate the burden of acute coronary heart disease (CHD and stroke and the cost-effectiveness of preventative population-based and clinical interventions. Methods An epidemiological model was built incorporating prevalence and distribution of high blood pressure, high cholesterol, hyperglycemia, overweight and obesity, smoking, and physical inactivity, obtained from the Argentine Survey of Risk Factors dataset. Population Attributable Fraction (PAF of each risk factor was estimated using relative risks from international sources. Total fatal and non-fatal events, PYLL and Disability Adjusted Life Years (DALY were estimated. Costs of event were calculated from local utilization databases and expressed in international dollars (I$. Incremental cost-effectiveness ratios (ICER were estimated for six interventions: reducing salt in bread, mass media campaign to promote tobacco cessation, pharmacological therapy of high blood pressure, pharmacological therapy of high cholesterol, tobacco cessation therapy with bupropion, and a multidrug strategy for people with an estimated absolute risk > 20% in 10 years. Results An estimated total of 611,635 DALY was lost due to acute CHD and stroke for 2005. Modifiable risk factors explained 71.1% of DALY and more than 80% of events. Two interventions were cost-saving: lowering salt intake in the population through reducing salt in bread and multidrug therapy targeted to persons with an absolute risk above 20% in 10 years; three interventions had very acceptable ICERs: drug therapy for high blood pressure in hypertensive patients not yet undergoing treatment (I$ 2,908 per DALY saved, mass media campaign to promote tobacco cessation amongst smokers (I$ 3,186 per DALY saved, and lowering cholesterol with

  2. 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.

  3. A methodology to incorporate organizational factors into human reliability analysis

    International Nuclear Information System (INIS)

    Li Pengcheng; Chen Guohua; Zhang Li; Xiao Dongsheng

    2010-01-01

    A new holistic methodology for Human Reliability Analysis (HRA) is proposed to model the effects of the organizational factors on the human reliability. Firstly, a conceptual framework is built, which is used to analyze the causal relationships between the organizational factors and human reliability. Then, the inference model for Human Reliability Analysis is built by combining the conceptual framework with Bayesian networks, which is used to execute the causal inference and diagnostic inference of human reliability. Finally, a case example is presented to demonstrate the specific application of the proposed methodology. The results show that the proposed methodology of combining the conceptual model with Bayesian Networks can not only easily model the causal relationship between organizational factors and human reliability, but in a given context, people can quantitatively measure the human operational reliability, and identify the most likely root causes or the prioritization of root causes caused human error. (authors)

  4. Effects of high and low fat dairy food on cardio-metabolic risk factors: a meta-analysis of randomized studies.

    Science.gov (United States)

    Benatar, Jocelyne R; Sidhu, Karishma; Stewart, Ralph A H

    2013-01-01

    Clear guidelines on the health effects of dairy food are important given the high prevalence of obesity, cardiovascular disease and diabetes, and increasing global consumption of dairy food. To evaluate the effects of increased dairy food on cardio metabolic risk factors. Searches were performed until April 2013 using MEDLINE, Science Direct, Google,Embase, the Cochrane Central Register of Controlled Trials, reference lists of articles, and proceedings of major meetings. Randomized controlled studies with healthy adults randomized to increased dairy food for more than one month without additional interventions. A standard list was used to extract descriptive, methodological and key variables from all eligible studies. If data was not included in the published report corresponding authors were contacted. 20 studies with 1677 participants with a median duration of dietary change of 26 (IQR 10-39) weeks and mean increase in dairy food intake of 3.6 (SD 0.92) serves/day were included. There was an increase in weight with low (+0.82, 0.35 to 1.28 kg, pfood (+0.41, 0.04 to 0.79 kg, p=0.03), but no significant change in waist circumference (-0.07, -1.24 to 1.10 cm) ; HOMA -IR (-0.94, -1.93 to 0.04 units); fasting glucose (+1.32, 0.19 to 2.45 mg/dl) ; LDL-c (1.85,-2.89 to 6.60 mg/dl); HDL-c (-0.19, -2.10 to 1.71 mg/dl); systolic BP (-0.4, -1.6 to 0.8 mmHg); diastolic BP (-0.4, -1.7 to 0.8 mmHg) or CRP (-1.07, -2.54 to 0.39 mg/L). Changes in other cardio-metabolic risk factors were similar for low and whole fat dairy interventions. Most clinical trials were small and of modest quality. . Increasing whole fat and low fat dairy food consumption increases weight but has minor effects on other cardio-metabolic risk factors. Australian New Zealand Clinical Trials Registry ACTRN12613000401752, http://www.anzctr.org.au. NTX/10/11/115.

  5. Effective transcription factor binding site prediction using a combination of optimization, a genetic algorithm and discriminant analysis to capture distant interactions.

    Science.gov (United States)

    Levitsky, Victor G; Ignatieva, Elena V; Ananko, Elena A; Turnaev, Igor I; Merkulova, Tatyana I; Kolchanov, Nikolay A; Hodgman, T C

    2007-12-19

    Reliable transcription factor binding site (TFBS) prediction methods are essential for computer annotation of large amount of genome sequence data. However, current methods to predict TFBSs are hampered by the high false-positive rates that occur when only sequence conservation at the core binding-sites is considered. To improve this situation, we have quantified the performance of several Position Weight Matrix (PWM) algorithms, using exhaustive approaches to find their optimal length and position. We applied these approaches to bio-medically important TFBSs involved in the regulation of cell growth and proliferation as well as in inflammatory, immune, and antiviral responses (NF-kappaB, ISGF3, IRF1, STAT1), obesity and lipid metabolism (PPAR, SREBP, HNF4), regulation of the steroidogenic (SF-1) and cell cycle (E2F) genes expression. We have also gained extra specificity using a method, entitled SiteGA, which takes into account structural interactions within TFBS core and flanking regions, using a genetic algorithm (GA) with a discriminant function of locally positioned dinucleotide (LPD) frequencies. To ensure a higher confidence in our approach, we applied resampling-jackknife and bootstrap tests for the comparison, it appears that, optimized PWM and SiteGA have shown similar recognition performances. Then we applied SiteGA and optimized PWMs (both separately and together) to sequences in the Eukaryotic Promoter Database (EPD). The resulting SiteGA recognition models can now be used to search sequences for BSs using the web tool, SiteGA. Analysis of dependencies between close and distant LPDs revealed by SiteGA models has shown that the most significant correlations are between close LPDs, and are generally located in the core (footprint) region. A greater number of less significant correlations are mainly between distant LPDs, which spanned both core and flanking regions. When SiteGA and optimized PWM models were applied together, this substantially reduced

  6. A Factor Analysis Approach for Clustering Patient Reported Outcomes.

    Science.gov (United States)

    Oh, Jung Hun; Thor, Maria; Olsson, Caroline; Skokic, Viktor; Jörnsten, Rebecka; Alsadius, David; Pettersson, Niclas; Steineck, Gunnar; Deasy, Joseph O

    2016-10-17

    In the field of radiation oncology, the use of extensive patient reported outcomes is increasingly common to measure adverse side effects after radiotherapy in cancer patients. Factor analysis has the potential to identify an optimal number of latent factors (i.e., symptom groups). However, the ultimate goal of treatment response modeling is to understand the relationship between treatment variables such as radiation dose and symptom groups resulting from FA. Hence, it is crucial to identify clinically more relevant symptom groups and improved response variables from those symptom groups for a quantitative analysis. The goal of this study is to design a computational method for finding clinically relevant symptom groups from PROs and to test associations between symptom groups and radiation dose. We propose a novel approach where exploratory factor analysis is followed by confirmatory factor analysis to determine the relevant number of symptom groups. We also propose to use a combination of symptoms in a symptom group identified as a new response variable in linear regression analysis to investigate the relationship between the symptom group and dose-volume variables. We analyzed patient-reported gastrointestinal symptom profiles from 3 datasets in prostate cancer patients treated with radiotherapy. The final structural model of each dataset was validated using the other two datasets and compared to four other existing FA methods. Our systematic EFA-CFA approach provided clinically more relevant solutions than other methods, resulting in new clinically relevant outcome variables that enabled a quantitative analysis. As a result, statistically significant correlations were found between some dose-volume variables to relevant anatomic structures and symptom groups identified by FA. Our proposed method can aid in the process of understanding PROs and provide a basis for improving our understanding of radiation-induced side effects.

  7. Factors Affecting the Internal Audit Effectiveness

    OpenAIRE

    Mustika, Adhista Cahya

    2015-01-01

    This study tests the factors that influence the internal audit effectiveness, including internal auditor competencies, internal auditor independence, auditee support to internal audit activity, and the internal and external auditor relationship. Using the internal auditor inspectorate in Java Province, Indonesia, we found that the internal audit effectiveness can be attained through increase internal audit competence, independence and strong relationship between internal and external auditor....

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

    Science.gov (United States)

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

    2013-01-01

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

  9. Time Series Factor Analysis with an Application to Measuring Money

    NARCIS (Netherlands)

    Gilbert, Paul D.; Meijer, Erik

    2005-01-01

    Time series factor analysis (TSFA) and its associated statistical theory is developed. Unlike dynamic factor analysis (DFA), TSFA obviates the need for explicitly modeling the process dynamics of the underlying phenomena. It also differs from standard factor analysis (FA) in important respects: the

  10. The effect of cactus pear (Opuntia ficus-indica) on body weight and cardiovascular risk factors: a systematic review and meta-analysis of randomized clinical trials.

    Science.gov (United States)

    Onakpoya, Igho J; O'Sullivan, Jack; Heneghan, Carl J

    2015-05-01

    Hundreds of dietary supplements are currently marketed as weight loss supplements. However, the advertised health claims of effectiveness for most of these have not been proven. The aim of this study was to critically appraise and evaluate the evidence for effectiveness of cactus pear, Opuntia ficus-indica (OFI), using data from published randomized clinical trials. We conducted electronic searches in Medline, Embase, Amed, Cinahl, and the Cochrane Library. No restrictions on age, time, or language were imposed. The risk for bias in the studies included was assessed using the Cochrane Collaboration criteria. Two reviewers independently determined the eligibility of included studies, assessed reporting quality, and extracted data. We identified seven eligible studies, of which five were included. The studies varied in design and reporting quality. Meta-analysis revealed a nonsignificant difference in body weight between OFI and controls (mean difference = -0.83 kg; 95% confidence interval, -2.49 to 0.83; I(2) = 93%). Significant reductions in body mass index, percentage body fat, systolic and diastolic blood pressures, and total cholesterol were observed. Adverse events included gastric intolerance and flu symptoms. The evidence from randomized clinical trials does not indicate that supplementation with OFI generates statistically significant effects on body weight. Consumption of OFI can cause significant reductions in percentage body fat, blood pressure, and total cholesterol. Few clinical trials evaluating the effects of OFI have been published. They vary in design and methodology, and are characterized by inconsistent quality of reporting. Further clinical trials evaluating the effects of OFI on body composition and metabolic parameters are warranted. Copyright © 2015 Elsevier Inc. All rights reserved.

  11. A Monte Carlo Study of Recovery of Weak Factor Loadings in Confirmatory Factor Analysis

    Science.gov (United States)

    Ximenez, Carmen

    2006-01-01

    The recovery of weak factors has been extensively studied in the context of exploratory factor analysis. This article presents the results of a Monte Carlo simulation study of recovery of weak factor loadings in confirmatory factor analysis under conditions of estimation method (maximum likelihood vs. unweighted least squares), sample size,…

  12. Role of Psychological Factors on Advertising Effectiveness

    OpenAIRE

    Mohadese Ghayoomi Javinani; Shahab Alddin Shokri

    2014-01-01

    The main purpose of this research was to investigate effecting psychological factors on advertising effectiveness in case of Samsung Television. In this line, advertising attitude and advertising involvement were measured as indicators of effectiveness. This research is quantitative in its nature and applied in kind. The research population was consisted of 305 respondents who were selected by hazardous sampling. A questionnaire was developed as the research instrument and validity of it was ...

  13. Moderating factors for the effectiveness of group art therapy for schizophrenia: secondary analysis of data from the MATISSE randomised controlled trial.

    Science.gov (United States)

    Leurent, Baptiste; Killaspy, Helen; Osborn, David P; Crawford, Mike J; Hoadley, Angela; Waller, Diane; King, Michael

    2014-11-01

    Although some studies suggest that art therapy may be useful in the treatment of negative symptoms of schizophrenia, a recent large trial of group art therapy found no clinical advantage over standard care, but the study population was heterogeneous and uptake of the intervention was poor. This study aimed to investigate whether art therapy was more effective for specific subgroups of patients. Secondary analysis of data from a randomised controlled trial of group art therapy as an adjunctive treatment for schizophrenia (n = 140) versus standard care alone (n = 137). Positive and Negative Syndrome Scale scores at 12 months were compared between trial arms. Interaction between intervention effect and different subgroups, including those with more severe negative symptoms of schizophrenia, and those who expressed a preference for art therapy prior to randomisation, was tested using a linear mixed model. The clinical effectiveness of group art therapy did not significantly differ between participants with more or less severe negative symptoms [interaction for difference in PANSS = 1.7, 95 % CI (-8.6 to 12.1), P = 0.741], or between those who did and did not express a preference for art therapy [interaction = 3.9, 95 % CI (-6.7 to 14.5), P = 0.473]. None of the other exploratory subgroups suggested differences in intervention effect. There was no evidence of greater improvement in clinical symptoms of schizophrenia for those with more severe negative symptoms or those with a preference for art therapy. Identification of patients with schizophrenia who may benefit most from group art therapy remains elusive.

  14. Likelihood-Based Confidence Intervals in Exploratory Factor Analysis

    Science.gov (United States)

    Oort, Frans J.

    2011-01-01

    In exploratory or unrestricted factor analysis, all factor loadings are free to be estimated. In oblique solutions, the correlations between common factors are free to be estimated as well. The purpose of this article is to show how likelihood-based confidence intervals can be obtained for rotated factor loadings and factor correlations, by…

  15. Collinear factorization violation and effective field theory

    Science.gov (United States)

    Schwartz, Matthew D.; Yan, Kai; Zhu, Hua Xing

    2017-09-01

    The factorization of amplitudes into hard, soft and collinear parts is known to be violated in situations where incoming particles are collinear to outgoing ones. This result was first derived by studying limits where noncollinear particles become collinear. We show that through an effective field theory framework with Glauber operators, these factorization-violating effects can be reproduced from an amplitude that is factorized before the splitting occurs. We confirm results at one loop, through single Glauber exchange, and at two loops, through double Glauber exchange. To approach the calculation, we begin by reviewing the importance of Glauber scaling for factorization. We show that for any situation where initial-state and final-state particles are not collinear, the Glauber contribution is entirely contained in the soft contribution. The contributions coming from Glauber operators are necessarily nonanalytic functions of external momentum, with the nonanalyticity arising from the rapidity regulator. The nonanalyticity is critical so that Glauber operators can both preserve factorization when it holds and produce factorization-violating effects when they are present.

  16. Erikson Psychosocial Stage Inventory: A Factor Analysis

    Science.gov (United States)

    Gray, Mary McPhail; And Others

    1986-01-01

    The 72-item Erikson Psychosocial Stage Inventory (EPSI) was factor analyzed for a group of 534 university freshmen and sophomore students. Seven factors emerged, which were labeled Initiative, Industry, Identity, Friendship, Dating, Goal Clarity, and Self-Confidence. Item's representing Erikson's factors, Trust and Autonomy, were dispersed across…

  17. 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...

  18. Multivariate analysis of the effects of soil parameters and environmental factors on the flavonoid content of leaves of Passiflora incarnata L., Passifloraceae

    Directory of Open Access Journals (Sweden)

    Maria Célia H. Reimberg

    Full Text Available The aim of the present study was to evaluate the effect of soil characteristics (pH, macro- and micro-nutrients, environmental factors (temperature, humidity, period of the year and time of day of collection and meteorological conditions (rain, sun, cloud and cloud/rain on the flavonoid content of leaves of Passiflora incarnata L., Passifloraceae. The total flavonoid contents of leaf samples harvested from plants cultivated or collected under different conditions were quantified by high-performance liquid chromatography with ultraviolet detection (HPLC-UV/PAD. Chemometric treatment of the data by principal component (PCA and hierarchic cluster analyses (HCA showed that the samples did not present a specific classification in relation to the environmental and soil variables studied, and that the environmental variables were not significant in describing the data set. However, the levels of the elements Fe, B and Cu present in the soil showed an inverse correlation with the total flavonoid contents of the leaves of P. incarnata.

  19. Safer approaches and landings: A multivariate analysis of critical factors

    Science.gov (United States)

    Heinrich, Durwood J.

    The approach-and-landing phases of flight represent 27% of mission time while resulting in 61 of the accidents and 39% of the fatalities. The landing phase itself represents only 1% of flight time but claims 45% of the accidents. Inadequate crew situation awareness (SA), crew resource management (CRM), and crew decision-making (DM) have been implicated in 51%, 63%, and 73% respectively of these accidents. The human factors constructs of SA, CRM, and DM were explored; a comprehensive definition of SA was proposed; and a "proactive defense" safety strategy was recommended. Data from a 1997 analysis of worldwide fatal accidents by the Flight Safety Foundation (FSF) Approach-and-Landing Accident Reduction (ALAR) Task Force was used to isolate crew- and weather-related causal factors that lead to approach-and-landing accidents (ALAs). Logistic regression and decision tree analysis were used on samplings of NASA's Aviation Safety Reporting System (ASRS) incident records ("near misses") and the National Transportation Safety Board's (NTSB) accident reports to examine hypotheses regarding factors and factor combinations that can dramatically increase the opportunity for accidents. An effective scale of risk factors was introduced for use by crews to proactively counter safety-related error-chain situations.

  20. A comparative analysis of the effects of instructional design factors on student success in e-learning: multiple-regression versus neural networks

    Directory of Open Access Journals (Sweden)

    Halil Ibrahim Cebeci

    2009-12-01

    Full Text Available This study explores the relationship between the student performance and instructional design. The research was conducted at the E-Learning School at a university in Turkey. A list of design factors that had potential influence on student success was created through a review of the literature and interviews with relevant experts. From this, the five most import design factors were chosen. The experts scored 25 university courses on the extent to which they demonstrated the chosen design factors. Multiple-regression and supervised artificial neural network (ANN models were used to examine the relationship between student grade point averages and the scores on the five design factors. The results indicated that there is no statistical difference between the two models. Both models identified the use of examples and applications as the most influential factor. The ANN model provided more information and was used to predict the course-specific factor values required for a desired level of success.

  1. Air pollution, neighbourhood and maternal-level factors modify the effect of smoking on birth weight: a multilevel analysis in British Columbia, Canada.

    Science.gov (United States)

    Erickson, Anders C; Ostry, Aleck; Chan, Hing Man; Arbour, Laura

    2016-07-16

    negative and non-linear dose-response association with birth weight which was highly variable between neighbourhoods and evidence of effect modification with neighbourhood-level factors. These results suggest that focusing exclusively on individual behaviours may have limited success in improving outcomes without addressing the contextual influences at the neighbourhood-level. Further studies are needed to corroborate our findings and to understand how neighbourhood-level attributes interact with smoking to affect birth outcomes.

  2. Air pollution, neighbourhood and maternal-level factors modify the effect of smoking on birth weight: a multilevel analysis in British Columbia, Canada

    Directory of Open Access Journals (Sweden)

    Anders C. Erickson

    2016-07-01

    levels of maternal smoking. Conclusion Maternal smoking had a negative and non-linear dose-response association with birth weight which was highly variable between neighbourhoods and evidence of effect modification with neighbourhood-level factors. These results suggest that focusing exclusively on individual behaviours may have limited success in improving outcomes without addressing the contextual influences at the neighbourhood-level. Further studies are needed to corroborate our findings and to understand how neighbourhood-level attributes interact with smoking to affect birth outcomes.

  3. Memory systems, processes, and tasks: taxonomic clarification via factor analysis.

    Science.gov (United States)

    Bruss, Peter J; Mitchell, David B

    2009-01-01

    The nature of various memory systems was examined using factor analysis. We reanalyzed data from 11 memory tasks previously reported in Mitchell and Bruss (2003). Four well-defined factors emerged, closely resembling episodic and semantic memory and conceptual and perceptual implicit memory, in line with both memory systems and transfer-appropriate processing accounts. To explore taxonomic issues, we ran separate analyses on the implicit tasks. Using a cross-format manipulation (pictures vs. words), we identified 3 prototypical tasks. Word fragment completion and picture fragment identification tasks were "factor pure," tapping perceptual processes uniquely. Category exemplar generation revealed its conceptual nature, yielding both cross-format priming and a picture superiority effect. In contrast, word stem completion and picture naming were more complex, revealing attributes of both processes.

  4. Human factors and fuzzy set theory for safety analysis

    International Nuclear Information System (INIS)

    Nishiwaki, Y.

    1987-01-01

    Human reliability and performance is affected by many factors: medical, physiological and psychological, etc. The uncertainty involved in human factors may not necessarily be probabilistic, but fuzzy. Therefore, it is important to develop a theory by which both the non-probabilistic uncertainties, or fuzziness, of human factors and the probabilistic properties of machines can be treated consistently. In reality, randomness and fuzziness are sometimes mixed. From the mathematical point of view, probabilistic measures may be considered a special case of fuzzy measures. Therefore, fuzzy set theory seems to be an effective tool for analysing man-machine systems. The concept 'failure possibility' based on fuzzy sets is suggested as an approach to safety analysis and fault diagnosis of a large complex system. Fuzzy measures and fuzzy integrals are introduced and their possible applications are also discussed. (author)

  5. Alternative Factor Models and Factorial Invariance of the GHQ-12: A Large Sample Analysis Using Confirmatory Factor Analysis

    Science.gov (United States)

    Shevlin, Mark; Adamson, Gary

    2005-01-01

    This study tested alternative factor models of the General Health Questionnaire-12 (GHQ-12), based on previous research findings, with a large sample using confirmatory factor analysis. An alternative models framework was used to test 6 factor analytic models. A 3-factor model was the best explanation of the sample data. The 3 factors were labeled…

  6. [An analysis of an effect of infectious diseases and diet factors on the risk of multiple sclerosis in the population of the Republic North Ossetia - Alania].

    Science.gov (United States)

    Smirnova, N F; Khodova, M A; Sivertseva, S A; Boĭko, A N; Gusev, E I

    2014-01-01

    Objective. To carry out the first in the Republic North Ossetia - Alania clinical epidemiological study of environmental risk factors for multiple sclerosis (MS) in the indigenous population. Material and methods. We have analyzed results of a questionnaire survey of 110 patients with MS and 110 matched controls. Results. We have identified statistically significant differences between the type of diet of MS patients and controls in different age periods, as well as the most significant infectious risk factors for MS. Conclusion. MS is a chronic autoimmune disease caused by the interaction of genetic and environmental factors. Among the environmental factors, infectious diseases and type of diet play the most important role.

  7. Effective Factors on Unassisted Smoking Cessation

    Directory of Open Access Journals (Sweden)

    Ayşegül Karalezli

    2017-08-01

    Full Text Available Objective: This study aimed to evaluate the contribution which effective factors on who self-quitting smoking. Methods: The study had been included in over 18 years old people who not received any pharmacological treatment or psychological support. The research was performed at the 95% ±3.09 confidence interval. Age, gender, educational status, occupation, monthly income, smoking situation and effective factors on self-quitting smoking. Results: The participants had been 50.9% (509 male and 49.5 (498 female. Median age was 35 (18-87 years old; female’s median age 35 (18-83 and male’s median age 36 (18-87. From İstanbul 351 (35%, Ankara 301 (30%, Konya 207 (20%, Antalya 148 (15% were people interviewed. This study had been the most effective factor in unassisted smoking cessation one’s own disease. The second factor had been getting fear of sick and third family pressure.The most people had been quit smoking due to diseases of respiratory system. The most fearful disease was cancer. Financial status was forth effective factor on quitting smoking. Conclusion: As a result effective factors on unassisted smoking cessation had been getting fear of sick as well as own disease. Therefore, in the process of quitting smoking, and especially young people in the project will be designed to prevent smoking was thought should be given to these issues. Also important in this regard is increasing the cigarette sales price. The compliance with laws issued to prevent smoking in closed areas, in particular young people can influence their thoughts about the hazards of smoking.

  8. Disruptive Event Biosphere Doser Conversion Factor Analysis

    Energy Technology Data Exchange (ETDEWEB)

    M. Wasiolek

    2000-12-28

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

  9. Effective Factors in Enhancing School Managers' Job Motivation

    Directory of Open Access Journals (Sweden)

    S. Mahmoud Mirzamani

    2011-10-01

    Full Text Available "nObjective: This study examines the effective factors in enhancing school managers' job motivation from viewpoint of school mangers, teachers, education department managerial and staff experts in teaching, and also identifies and prioritizes each of these factors and indicators. "nMethod: For selecting a representative sample and increasing measurement precision, 587 people were selected using classified random sampling. The measurement tool was a 79-questionnaire made by the researcher. The questionnaire was collected using motivation theories and observing the findings of previous researches. Then, according to the three-stage Delphi technique, the questionnaire was sent to experts in education. The reliability of instruments was measured by calculating Cronbach's Alpha coefficient, and total reliability of the test was 0.99; the validity of the instrument was assessed by factor analysis (Construct Validity and its load factor was 0.4 which was high. "nResults: The results from factor analysis shows that the effective factors in enhancing managers' job motivation are as follows: self- actualization (51% including 28 indices; social factor (7/9% including 22 indices; self-esteem (3.2% including 17 indices; job desirable features (2.2% including 4 indices; physiologic (1.8% including 4 indices; and job richness (1.6% including 4 indices. "nConclusions: The results show that the six mentioned factors determine 68% of the total variance of managers' motivation.

  10. Factors Affecting Green Residential Building Development: Social Network Analysis

    Directory of Open Access Journals (Sweden)

    Xiaodong Yang

    2018-05-01

    Full Text Available Green residential buildings (GRBs are one of the effective practices of energy saving and emission reduction in the construction industry. However, many real estate developers in China are less willing to develop GRBs, because of the factors affecting green residential building development (GRBD. In order to promote the sustainable development of GRBs in China, this paper, based on the perspective of real estate developers, identifies the influential and critical factors affecting GRBD, using the method of social network analysis (SNA. Firstly, 14 factors affecting GRBD are determined from 64 preliminary factors of three main elements, and the framework is established. Secondly, the relationships between the 14 factors are analyzed by SNA. Finally, four critical factors for GRBD, which are on the local economy development level, development strategy and innovation orientation, developer’s acknowledgement and positioning for GRBD, and experience and ability for GRBD, are identified by the social network centrality test. The findings illustrate the key issues that affect the development of GRBs, and provide references for policy making by the government and strategy formulation by real estate developers.

  11. A rational approximation of the effectiveness factor

    DEFF Research Database (Denmark)

    Wedel, Stig; Luss, Dan

    1980-01-01

    A fast, approximate method of calculating the effectiveness factor for arbitrary rate expressions is presented. The method does not require any iterative or interpolative calculations. It utilizes the well known asymptotic behavior for small and large Thiele moduli to derive a rational function w...

  12. Some Factors Effected Student's Calculus Learning Outcome

    Science.gov (United States)

    Rajagukguk, Wamington

    2016-01-01

    The purpose of this study is to determine the factors effected calculus learning outcome of the student. This study was conducted with 176 respondents, which were selected randomly. The data were obtained by questionnaire, and then analyzed by using multiple regressions, and correlation, at level of a = 0.05. The findings showed there is the…

  13. Contextual factors and effective school improvement

    NARCIS (Netherlands)

    Sun, Hechuan; Creemers, Bert P. M.; de Jong, Rob

    This research provides policy-makers, researchers, and educators at all levels with a glimpse of the contextual influence on effective school improvement (ESI) in 8 European countries. What are the factors at the contextual level, particularly at the national level, which influence ESI? Are there

  14. Bootstrap Standard Error Estimates in Dynamic Factor Analysis

    Science.gov (United States)

    Zhang, Guangjian; Browne, Michael W.

    2010-01-01

    Dynamic factor analysis summarizes changes in scores on a battery of manifest variables over repeated measurements in terms of a time series in a substantially smaller number of latent factors. Algebraic formulae for standard errors of parameter estimates are more difficult to obtain than in the usual intersubject factor analysis because of the…

  15. What School Psychologists Need to Know about Factor Analysis

    Science.gov (United States)

    McGill, Ryan J.; Dombrowski, Stefan C.

    2017-01-01

    Factor analysis is a versatile class of psychometric techniques used by researchers to provide insight into the psychological dimensions (factors) that may account for the relationships among variables in a given dataset. The primary goal of a factor analysis is to determine a more parsimonious set of variables (i.e., fewer than the number of…

  16. Maximum Likelihood Factor Analysis of the Effects of Chronic Centrifugation on the Structural Development of the Musculoskeletal System of the Rat

    Science.gov (United States)

    Amtmann, E.; Kimura, T.; Oyama, J.; Doden, E.; Potulski, M.

    1979-01-01

    At the age of 30 days female Sprague-Dawley rats were placed on a 3.66 m radius centrifuge and subsequently exposed almost continuously for 810 days to either 2.76 or 4.15 G. An age-matched control group of rats was raised near the centrifuge facility at earth gravity. Three further control groups of rats were obtained from the animal colony and sacrificed at the age of 34, 72 and 102 days. A total of 16 variables were simultaneously factor analyzed by maximum-likelihood extraction routine and the factor loadings presented after-rotation to simple structure by a varimax rotation routine. The variables include the G-load, age, body mass, femoral length and cross-sectional area, inner and outer radii, density and strength at the mid-length of the femur, dry weight of gluteus medius, semimenbranosus and triceps surae muscles. Factor analyses on A) all controls, B) all controls and the 2.76 G group, and C) all controls and centrifuged animals, produced highly similar loading structures of three common factors which accounted for 74%, 68% and 68%. respectively, of the total variance. The 3 factors were interpreted as: 1. An age and size factor which stimulates the growth in length and diameter and increases the density and strength of the femur. This factor is positively correlated with G-load but is also active in the control animals living at earth gravity. 2. A growth inhibition factor which acts on body size, femoral length and on both the outer and inner radius at mid-length of the femur. This factor is intensified by centrifugation.

  17. Classification analysis of organization factors related to system safety

    International Nuclear Information System (INIS)

    Liu Huizhen; Zhang Li; Zhang Yuling; Guan Shihua

    2009-01-01

    This paper analyzes the different types of organization factors which influence the system safety. The organization factor can be divided into the interior organization factor and exterior organization factor. The latter includes the factors of political, economical, technical, law, social culture and geographical, and the relationships among different interest groups. The former includes organization culture, communication, decision, training, process, supervision and management and organization structure. This paper focuses on the description of the organization factors. The classification analysis of the organization factors is the early work of quantitative analysis. (authors)

  18. Landslide susceptibility analysis using Probabilistic Certainty Factor ...

    Indian Academy of Sciences (India)

    This paper reports the use of a GIS based Probabilistic Certainty Factor method to assess the geo-environmental factors that contribute to landslide susceptibility in Tevankarai Ar sub-watershed, Kodaikkanal. ... The results show that slope, aspect, soil and proximity to roads play important role in landslide susceptibility.

  19. Landslide susceptibility analysis using Probabilistic Certainty Factor ...

    Indian Academy of Sciences (India)

    This paper reports the use of a GIS based Probabilistic Certainty Factor method to assess the geo-environmental factors that contribute to landslide susceptibility in Tevankarai Ar sub-watershed,. Kodaikkanal. Landslide occurrences are a common phenomenon in the Tevankarai Ar sub-watershed,. Kodaikkanal owing to ...

  20. Effective dose in abdominal digital radiography: Patient factor

    Energy Technology Data Exchange (ETDEWEB)

    Jang, Ji Sung; Koo, Hyun Jung; Park, Jung Hoon; Cho, Young Chul; Do, Kyung Hyun [Dept. of Radiology, and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul(Korea, Republic of); Yang, Hyung Jin [Dept. of Medical Physics, Korea University, Seoul (Korea, Republic of)

    2017-08-15

    To identify independent patient factors associated with an increased radiation dose, and to evaluate the effect of patient position on the effective dose in abdominal digital radiography. We retrospectively evaluated the effective dose for abdominal digital radiography in 222 patients. The patients were divided into two groups based on the cut-off dose value of 0.311 mSv (the upper third quartile of dose distribution): group A (n = 166) and group B (n = 56). Through logistic regression, independent factors associated with a larger effective dose were identified. The effect of patient position on the effective dose was evaluated using a paired t-test. High body mass index (BMI) (≥ 23 kg/m2), presence of ascites, and spinal metallic instrumentation were significantly associated with a larger effective dose. Multivariate logistic regression analysis revealed that high BMI [odds ratio (OR), 25.201; p < 0.001] and ascites (OR, 25.132; p < 0.001) were significantly associated with a larger effective dose. The effective dose was significantly lesser (22.6%) in the supine position than in the standing position (p < 0.001). High BMI and ascites were independent factors associated with a larger effective dose in abdominal digital radiography. Significant dose reduction in patients with these factors may be achieved by placing the patient in the supine position during abdominal digital radiography.

  1. Effective factors on mobile phone customer satisfaction

    Directory of Open Access Journals (Sweden)

    Hamed Mohafez

    2012-01-01

    Full Text Available Cellular phone is one of the most profitable industries in the world and especially in middle east regions. There is a growing competition among different firms in this market and the market share is exchanged very quickly depending on the features and equipments introduced. Customer satisfaction plays an important role on retaining present marker share or absorbing new customers. In this paper, we present an empirical study to measure the effects of different factors influencing customer satisfaction such as the effect of perceived expectations on perceived quality and the effect of perceived expectation on perceived value. The survey is performed among customers who live in Tehran, the capital city of Iran and it shows there are some meaningful and positive relationship between perceived expectations and other factors such as perceived quality and perceived value. There is also positive relationship between perceived quality and perceived value. perceived expectation and customer satisfaction.

  2. A Confirmatory Factor Analysis Approach to Construct Validation.

    Science.gov (United States)

    Rezmovic, Eva Lantos; Rezmovic, Victor

    1981-01-01

    A multitrait-multimethod matrix containing two methods of measuring 12 personality traits was analyzed and confirmatory factor analysis was applied to the data. Although unexplained variance remained, method factors and a general personality factor significantly improved the fit of a model containing only trait factors. (Author/RL)

  3. Effectiveness of Biologic Factors in Shoulder Disorders.

    Science.gov (United States)

    Giotis, Dimitrios; Aryaei, Ashkan; Vasilakakos, Theofanis; Paschos, Nikolaos K

    2017-01-01

    Shoulder pathology can cause significant pain, discomfort, and loss of function that all interfere with activities of daily living and may lead to poor quality of life. Primary osteoarthritis and rotator cuff diseases with its sequalae are the main culprits. Management of shoulder disorders using biological factors gained an increasing interest over the last years. This interest reveals the need of effective treatments for shoulder degenerative disorders, and highlights the importance of a comprehensive and detailed understanding of the rapidly increasing knowledge in the field. This study will describe most of the available biology-based strategies that have been recently developed, focusing on their effectiveness in animal and clinical studies. Data from in vitro work will also be briefly presented; in order to further elucidate newly acquired knowledge regarding mechanisms of tissue degeneration and repair that would probably drive translational work in the next decade. The role of platelet rich-plasma, growth factors, stem cells and other alternative treatments will be described in an evidence-based approach, in an attempt to provide guidelines for their clinical application. Finally, certain challenges that biologic treatments face today will be described as an initiative for future strategies. The application of different growth factors and mesenchymal stem cells appears as promising approaches for enhancing biologic repair. However, data from clinical studies are still limited, and future studies need to improve understanding of the repair process in cellular and molecular level and evaluate the effectiveness of biologic factors in the management of shoulder disorders.

  4. 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.

  5. 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.

  6. A Bayesian Nonparametric Approach to Factor Analysis

    DEFF Research Database (Denmark)

    Piatek, Rémi; Papaspiliopoulos, Omiros

    2018-01-01

    This paper introduces a new approach for the inference of non-Gaussian factor models based on Bayesian nonparametric methods. It relaxes the usual normality assumption on the latent factors, widely used in practice, which is too restrictive in many settings. Our approach, on the contrary, does...... not impose any particular assumptions on the shape of the distribution of the factors, but still secures the basic requirements for the identification of the model. We design a new sampling scheme based on marginal data augmentation for the inference of mixtures of normals with location and scale...... restrictions. This approach is augmented by the use of a retrospective sampler, to allow for the inference of a constrained Dirichlet process mixture model for the distribution of the latent factors. We carry out a simulation study to illustrate the methodology and demonstrate its benefits. Our sampler is very...

  7. Ranking factors of an investment in cogeneration: sensitivity analysis ranking the technical and economical factors

    International Nuclear Information System (INIS)

    Sundberg, Gunnel

    2001-01-01

    A deregulation of the electricity market in Europe will result in increased competition among the power-producing companies. They will therefore carefully estimate the financial risk in an investment in new power-producing capability. One part of the risk assessment is to perform a sensitivity analysis. This paper presents a sensitivity analysis using factorial design, resulting in an assessment of the most important technical and economical factors affecting an investment in gas turbine combined cycle and a steam cycle fired by wood chips. The study is performed using a simulation model that optimises the operation of existing power plants and potential new investments to fulfil the desired heat demand. The local utility system analysed is a Swedish district heating system with 655 GWh y -1 heat demand. The conclusion is that to understand which of the technical and economical factors affect the investment, it is not sufficient to investigate the parameters of the studied plant, but also the parameters related to the competing plants. Both the individual effects of the factors and the effect of their interaction should be investigated. For the energy system studied the price of natural gas, price of wood chips and investment cost have the major influence on the profitability of the investment. (Author)

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

    Science.gov (United States)

    Kurre, Annette; Bastiaenen, Caroline Hg; van Gool, Christel Jaw; Gloor-Juzi, Thomas; de Bruin, Eling D; Straumann, Dominik

    2010-03-15

    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). 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. 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-perceived walking ability in relation to

  9. 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

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

    International Nuclear Information System (INIS)

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

    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. (author)

  11. Analysis of factors influencing Cu(II sorption by clinoptiolite

    Directory of Open Access Journals (Sweden)

    Šljivić-Ivanović Marija Z.

    2013-01-01

    Full Text Available Experimental design methodology represents a powerful tool for the analysis and optimization of various processes. Immobilization of toxic substances by sorption onto low-cost materials gained a lot of attention in the last decade. Fundamental knowledge about sorption processes and their practical use can be improved by experimental planning and statistical analysis. In this study, the effects of initial metal concentration and pH, as well as the sorbent mass and particle size, on Cu(II sorption by natural clinoptilolite were evaluated and compared. Full factorial experimental design at two levels was applied. Statistically significant factors were determined considering residual Cu(II concentrations as a system response. The Pareto graphs of standardized effects, Main effect plots and Interaction plots were created using statistical software. Initial sorbate concentration, sorbent mass and their interaction were recognized as statistically significant, at 95 % confidence level. Main effect plot approved that sorbent mass increase and initial Cu(II concentration decrease caused reduction of residual Cu(II concentration in solution. On the other hand, the change of initial solution pH and sorbent particle size didn’t provoke significant response changes. Bearing in mind that pH is the factor with large effect on heavy metal sorption, insignificant influence of initial pH detected in this study can be explained by buffering properties of the applied clinoptilolite and relatively narrow pH range chosen in order to prevent sorbent dissolution on one side and sorbate precipitation on the other. By regression analysis, the mathematical model for process description was derived. The correlation between predicted and experimental values was high (R2>0.99. In the investigated ranges of parameters, the obtained empirical equation can be applied for the prediction of system response.

  12. Multivariate analysis of factors influencing the effect of radiosynovectomy; Multivariate Analyse der Einflussfaktoren auf die Wirkung der Radiosynoviorthese bei entzuendlichen Gelenkerkrankungen

    Energy Technology Data Exchange (ETDEWEB)

    Farahati, J.; Schulz, G.; Koerber, C.; Geling, M.; Schmeider, P.; Reiners, Chr. [Wuerzburg Univ. (Germany). Klinik fuer Nuklearmedizin; Wendler, J. [Erlangen-Nuernberg Univ. (Germany). Klinik fuer Innere Medizin III; Kenn, W. [Wuerzburg Univ. (Germany). Inst. fuer Roentgendiagnostik; Reidemeister, C. [Wuerzburg Univ. (Germany). Klinik fuer Innere Medizin

    2002-04-01

    Objective: In this prospective study, the time to remission after radiosynovectomy (RSV) was analyzed and the influence of age, sex, underlying disease, type of joint, and duration of illness on the success rate of RSV was determined. Methods: A total number of 57 patients with rheumatoid arthritis (n = 33) and arthrosis (n = 21) with a total number of 130 treated joints (36 knee, 66 small and 28 medium-size joints) were monitored using visual analogue scales (VAS) from one week before RSV up to four to six months after RSV. The patients had to answer 3 times daily for pain intensity of the treated joint. The time until remission was determined according to the Kaplan-Meier survivorship function. The influence of the prognosis parameters on outcome of RSV was determined by multivariate discriminant analysis. Results: After six months, the probability of pain relief of more than 20% amounted to 78% and was significantly dependent on the age of the patient (p = 0.02) and the duration of illness (p = 0.05), however not on sex (p = 0.17), underlying disease (p = 0.23), and type of joint (p = 0.69). Conclusion: Irrespective of sex, type of joint and underlying disease, a measurable pain relief can be achieved with RSV in 78% of the patients with synovitis, whereby effectiveness is decreasing with increasing age and progress of illness. (orig.) [German] Ziel: In dieser prospektiven Studie wurde die Zeit bis zur Remission nach einer Radiosynoviorthese (RSO) untersucht. Ebenso wurde der Einfluss von Alter, Geschlecht, Grunderkrankung, Gelenktyp und Erkrankungsdauer auf die Erfolgsrate der RSO ermittelt. Methodik: Bei insgesamt 57 Patienten mit rheumatoider Arthritis (n = 33) und Arthritis bei aktivierter Arthrose (n = 24) wurden 130 Gelenke (36 Kniegelenke, 66 kleine und 28 mittelgrosse Gelenke) behandelt. Die Patienten wurden unter Verwendung so genannter visueller Analogskalen eine Woche vor RSO und vier bis sechs Monate danach 3-mal taeglich zur Schmerzintensitaet des

  13. 48 CFR 1615.404-70 - Profit analysis factors.

    Science.gov (United States)

    2010-10-01

    ... FEDERAL EMPLOYEES HEALTH BENEFITS ACQUISITION REGULATION CONTRACTING METHODS AND CONTRACT TYPES CONTRACTING BY NEGOTIATION Contract Pricing 1615.404-70 Profit analysis factors. (a) OPM contracting officers...

  14. A study on effective factors on employee motivation

    Directory of Open Access Journals (Sweden)

    Hassan Ghodrati

    2013-06-01

    Full Text Available Management is often considered as collaboration with others and this requires knowing about employers' behavior and the factors influencing their behaviors to motivate them for obtaining some predicted aims. This paper presents a study to detect important factors influencing motivation of some employees who work for a public offices in city of Kashan, Iran. The study designs a questionnaire in Likert scale and distributes it among 160 randomly selected participants. The questions are divided into two groups of management performance and motivational factors. To evaluate the effect of demographic factors on the quality of respondents' statements, a rating analysis based on Kruskal–Wallis test is used. To measure the effective vote, the motivation levels are divided into three groups of highly motivated, motivated and not motivated and they are analyzed based on rating mean variance with freedman scale. The results indicate that interesting job, job security, good salary and benefits and promotions, etc. are important factors to impact on the employers' motivation. For the newly – employed personal, job security is the most important motivation factor and for old – established employees, job attractive and sense of being considered is the most effective factor.

  15. Multivariate factor analysis of Girgentana goat milk composition

    Directory of Open Access Journals (Sweden)

    Pietro Giaccone

    2010-01-01

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

  16. Surface water quality assessment using factor analysis

    African Journals Online (AJOL)

    2006-01-16

    Jan 16, 2006 ... factors extracted by the Centroid method, rotated by Varimax rotation (Ahmed et al., 2005). Calculated eigenvalues, per cent. Figure 1. Sketch map of water quality monitoring stations in Buyuk. Menderes Basin in Turkey. TABLE 1. Descriptive statistics of water quality data under low-flow conditions. Variable.

  17. Warranty claim analysis considering human factors

    International Nuclear Information System (INIS)

    Wu Shaomin

    2011-01-01

    Warranty claims are not always due to product failures. They can also be caused by two types of human factors. On the one hand, consumers might claim warranty due to misuse and/or failures caused by various human factors. Such claims might account for more than 10% of all reported claims. On the other hand, consumers might not be bothered to claim warranty for failed items that are still under warranty, or they may claim warranty after they have experienced several intermittent failures. These two types of human factors can affect warranty claim costs. However, research in this area has received rather little attention. In this paper, we propose three models to estimate the expected warranty cost when the two types of human factors are included. We consider two types of failures: intermittent and fatal failures, which might result in different claim patterns. Consumers might report claims after a fatal failure has occurred, and upon intermittent failures they might report claims after a number of failures have occurred. Numerical examples are given to validate the results derived.

  18. 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.)

  19. [High risk factors analysis of stillbirth].

    Science.gov (United States)

    Xiong, Y; Xia, H X; Wang, Y S; Lin, X L; Zhu, T T; Zhao, Y; Li, X T

    2017-12-25

    Objective: To explore the high risk factors of stillbirth. Methods: 176 cases of stillbirth were collected in the Obstetrics and Gynecology Hospital of Fudan University from January 1(st), 2010 to December 31(st), 2016. All cases were analyzed retrospectively, including general profile, high risk factors of stillbirth in different years and pregnancy periods. Results: (1) The incidence of stillbirth was 0.178%(176/98 785). Stillbirth occured mostly at 28-28(+6) gestational weeks (10.8%,19/176), and the second peak was 29-29(+6) weeks(10.2%,18/176), while the third common period was 37-37(+6) weeks (9.1%,16/176). After 39 weeks, it maintained at a low level. (2) The top 5 high risk factors of stillbirth were infection (18.2%,32/176), unexplained (13.6%,24/176), hypertention disorders in pregnancy (13.1%, 23/176), umbilical cord torsion (12.5%, 22/176) and fetal malformations (10.2%, 18/176). (3) From 2010 to 2012, the top 3 high risk factors were unexplained, the umbilical cord torsion and infection, while hypertention in pregnancy, infection and fetal malformation became the top 3 high risk factors after 2013. (4) Early stillbirth (20-27(+6) weeks) accounted for 21.6%(38/176); and unexplained (47.4%, 18/38), fetal edema (13.2%, 5/38),infection (13.2%, 5/38), umbilical cord torsion (5.3%, 2/38) were the top 4 high risk factors. Late stillbirth (≥28 weeks) accounted for 78.4%(138/176), with infection (19.6%,27/138), hypertention in pregnancy (15.9%,22/138), umbilical cord torsion (14.5%,20/138) and fetal malformation(12.3%,17/138)being the top 4 high risk factors. Conclusions: More attention should be paid to maternal complications, especially infection and hypertension in pregnancy. Antenatal fetal monitoring, timely termination of pregnancy, standard management of stillbirth and looking for the causes may help reduce the incidence of stillbirth.

  20. Recovery of Weak Factor Loadings When Adding the Mean Structure in Confirmatory Factor Analysis: A Simulation Study.

    Science.gov (United States)

    Ximénez, Carmen

    2015-01-01

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

  1. Effective factors in providing holistic care: A qualitative study

    Directory of Open Access Journals (Sweden)

    Vahid Zamanzadeh

    2015-01-01

    Full Text Available Background: Holistic care is a comprehensive model of caring. Previous studies have shown that most nurses do not apply this method. Examining the effective factors in nurses′ provision of holistic care can help with enhancing it. Studying these factors from the point of view of nurses will generate real and meaningful concepts and can help to extend this method of caring. Materials and Methods: A qualitative study was used to identify effective factors in holistic care provision. Data gathered by interviewing 14 nurses from university hospitals in Iran were analyzed with a conventional qualitative content analysis method and by using MAXQDA (professional software for qualitative and mixed methods data analysis software. Results: Analysis of data revealed three main themes as effective factors in providing holistic care: The structure of educational system, professional environment, and personality traits. Conclusion: Establishing appropriate educational, management systems, and promoting religiousness and encouragement will induce nurses to provide holistic care and ultimately improve the quality of their caring.

  2. Alcohol Involvement and the Five-Factor Model of Personality: A Meta-Analysis

    Science.gov (United States)

    Malouff, John M.; Thorsteinsson, Einar B.; Rooke, Sally E.; Schutte, Nicola S.

    2007-01-01

    The purpose of this meta-analysis was to quantify the relationship between the Five-Factor Model of personality and alcohol involvement and to identify moderators of the relationship. The meta-analysis included 20 studies, 119 effect sizes, and 7,886 participants. Possible moderators examined included: five-factor rating type (self vs. other);…

  3. Multilevel Analysis of Factors Associated with Child Mortality in ...

    African Journals Online (AJOL)

    The purpose of this paper is to examine the effect of factors associated with child mortality in Uganda. The Demographic and Health Survey data set (2006) is used to investigate these factors. A random effects regression model and logistic regression model were fitted to establish the significant factors affecting child ...

  4. Regression analysis of nuclear plant capacity factors

    International Nuclear Information System (INIS)

    Stocks, K.J.; Faulkner, J.I.

    1980-07-01

    Operating data on all commercial nuclear power plants of the PWR, HWR, BWR and GCR types in the Western World are analysed statistically to determine whether the explanatory variables size, year of operation, vintage and reactor supplier are significant in accounting for the variation in capacity factor. The results are compared with a number of previous studies which analysed only United States reactors. The possibility of specification errors affecting the results is also examined. Although, in general, the variables considered are statistically significant, they explain only a small portion of the variation in the capacity factor. The equations thus obtained should certainly not be used to predict the lifetime performance of future large reactors

  5. Developing an instrument to measure effective factors on clinical learning

    Directory of Open Access Journals (Sweden)

    IDEH DADGARAN

    2016-07-01

    Full Text Available Introduction: Although nursing students spend a large part of their learning period in the clinical environment, clinical learning has not been perceived by its nature yet. To develop an instrument to measure effective factors on clinical learning in nursing students. Methods: This is a mixed methods study performed in 2 steps. First, the researchers defined “clinical learning” in nursing students through qualitative content analysis and designed items of the questionnaire based on semi-structured individual interviews with nursing students. Then, as the second step, psychometric properties of the questionnaire were evaluated using the face validity, content validity, construct validity, and internal consistency evaluated on 227 students from fourth or higher semesters. All the interviews were recorded and transcribed, and then, they were analyzed using Max Qualitative Data Analysis and all of qualitative data were analyzed using SPSS 14. Results: To do the study, we constructed the preliminary questionnaire containing 102 expressions. After determination of face and content validities by qualitative and quantitative approaches, the expressions of the questionnaire were reduced to 45. To determine the construct validity, exploratory factor analysis was applied. The results indicated that the maximum variance percentage (40.55% was defined by the first 3 factors while the rest of the total variance percentage (59.45% was determined by the other 42 factors. Results of exploratory factor analysis of this questionnaire indicated the presence of 3 instructor-staff, students, and educational related factors. Finally, 41 expressions were kept in 3 factor groups. The α-Cronbach coefficient (0.93 confirmed the high internal consistency of the questionnaire. Conclusion: Results indicated that the prepared questionnaire was an efficient instrument in the study of the effective factors on clinical learning as viewed by nursing students since it

  6. Two Computer Programs for Factor Analysis. Technical Note Number 41.

    Science.gov (United States)

    Wisler, Carl E.

    Two factor analysis algorithms, previously described by P. Horst, have been programed for use on the General Electric Time-Sharing Computer System. The first of these, Principal Components Analysis (PCA), uses the Basic Structure Successive Factor Method With Residual Matrices algorithm to obtain the principal component vectors of a correlation…

  7. The Mixer: Introducing the Concept of Factor Analysis

    Science.gov (United States)

    Segrist, Dan J.; Pawlow, Laura A.

    2007-01-01

    This study entailed the development and implementation of a classroom activity designed to introduce students to the concept of factor analysis. We implemented the activity in both a personality theories course and a tests and measurements course. Data suggest that students learned about factor analysis from this activity, while enjoying it.…

  8. 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…

  9. Exploratory Factor Analysis of a Force Concept Inventory Data Set

    Science.gov (United States)

    Scott, Terry F.; Schumayer, Daniel; Gray, Andrew R.

    2012-01-01

    We perform a factor analysis on a "Force Concept Inventory" (FCI) data set collected from 2109 respondents. We address two questions: the appearance of conceptual coherence in student responses to the FCI and some consequences of this factor analysis on the teaching of Newtonian mechanics. We will highlight the apparent conflation of Newton's…

  10. Likelihood-Based Confidence Intervals in Exploratory Factor Analysis

    NARCIS (Netherlands)

    Oort, Frans J.

    2011-01-01

    In exploratory or unrestricted factor analysis, all factor loadings are free to be estimated. In oblique solutions, the correlations between common factors are free to be estimated as well. The purpose of this article is to show how likelihood-based confidence intervals can be obtained for rotated

  11. Factor analysis in hydrochemical survey | Ephraim | Global Journal ...

    African Journals Online (AJOL)

    When subjected to factor analysis, the analytical data of water samples of the Calabar Flank area was transformed into factor score sets that are considered most consistent with known geological and environmental processes, and appropriate to the limits of analytical precision. Factor I reflects geochemical interactions of ...

  12. Likelihood-based confidence intervals in exploratory factor analysis

    NARCIS (Netherlands)

    Oort, F.J.

    2011-01-01

    In exploratory or unrestricted factor analysis, all factor loadings are free to be estimated. In oblique solutions, the correlations between common factors are free to be estimated as well. The purpose of this article is to show how likelihood-based confidence intervals can be obtained for rotated

  13. Contextual risk factors for low birth weight: a multilevel analysis.

    Directory of Open Access Journals (Sweden)

    Gbenga A Kayode

    Full Text Available Low birth weight (LBW remains to be a leading cause of neonatal death and a major contributor to infant and under-five mortality. Its prevalence has not declined in the last decade in sub-Saharan Africa (SSA and Asia. Some individual level factors have been identified as risk factors for LBW but knowledge is limited on contextual risk factors for LBW especially in SSA.Contextual risk factors for LBW in Ghana were identified by performing multivariable multilevel logistic regression analysis of 6,900 mothers dwelling in 412 communities that participated in the 2003 and 2008 Demographic and Health Surveys in Ghana.Contextual-level factors were significantly associated with LBW: Being a rural dweller increased the likelihood of having a LBW infant by 43% (OR 1.43; 95% CI 1.01-2.01; P-value <0.05 while living in poverty-concentrated communities increased the risk of having a LBW infant twofold (OR 2.16; 95% CI 1.29-3.61; P-value <0.01. In neighbourhoods with a high coverage of safe water supply the odds of having a LBW infant reduced by 28% (OR 0.74; 95% CI 0.57-0.96; P-value <0.05.This study showed contextual risk factors to have independent effects on the prevalence of LBW infants. Being a rural dweller, living in a community with a high concentration of poverty and a low coverage of safe water supply were found to increase the prevalence of LBW infants. Implementing appropriate community-based intervention programmes will likely reduce the occurrence of LBW infants.

  14. A kernel version of spatial factor analysis

    DEFF Research Database (Denmark)

    Nielsen, Allan Aasbjerg

    2009-01-01

    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...

  15. The status of rheumatoid factor and anti-cyclic citrullinated peptide antibody are not associated with the effect of anti-TNFα agent treatment in patients with rheumatoid arthritis: a meta-analysis.

    Directory of Open Access Journals (Sweden)

    Qianwen Lv

    Full Text Available OBJECTIVES: This meta-analysis was conducted to investigate whether the status of rheumatoid factor (RF and anti-cyclic citrullinated peptide (anti-CCP antibody are associated with the clinical response to anti-tumor necrosis factor (TNF alpha treatment in rheumatoid arthritis (RA. METHODS: A systemic literature review was performed using the MEDLINE, SCOPUS, Cochrane Library, ISI Web of Knowledge, and Clinical Trials Register databases, and Hayden's criteria of quality assessment for prognostic studies were used to evaluate all of the studies. The correlation between the RF and anti-CCP antibody status with the treatment effect of anti-TNFα agents was analyzed separately using the Mantel Haenszel method. A fixed-effects model was used when there was no significant heterogeneity; otherwise, a random-effects model was applied. Publication bias was assessed using Egger's linear regression and a funnel plot. RESULTS: A total of 14 studies involving 5561 RA patients meeting the inclusion criteria were included. The overall analysis showed that the pooled relative risk for the predictive effects of the RF and anti-CCP antibody status on patient response to anti-TNFα agents was 0.98 (95% CI: 0.91-1.05, p=0.54 and 0.88 (95% CI: 0.76-1.03, p=0.11, respectively, with I(2 values of 43% (p=0.05 and 67% (p<0.01, respectively. Subgroup analyses of different anti-TNFα treatments (infliximab vs. etanercept vs. adalimumab vs. golimumab, response criteria (DAS28 vs. ACR20 vs. EULAR response, follow-up period (≥ 6 vs. <6 months, and ethnic group did not reveal a significant association for the status of RF and anti-CCP. CONCLUSIONS: Neither the RF nor anti-CCP antibody status in RA patients is associated with a clinical response to anti-TNFα treatment.

  16. Bootstrap Confidence Intervals for Ordinary Least Squares Factor Loadings and Correlations in Exploratory Factor Analysis

    Science.gov (United States)

    Zhang, Guangjian; Preacher, Kristopher J.; Luo, Shanhong

    2010-01-01

    This article is concerned with using the bootstrap to assign confidence intervals for rotated factor loadings and factor correlations in ordinary least squares exploratory factor analysis. Coverage performances of "SE"-based intervals, percentile intervals, bias-corrected percentile intervals, bias-corrected accelerated percentile…

  17. A Systematic Review and Meta-Analysis of the Effects of Flavanol-Containing Tea, Cocoa and Apple Products on Body Composition and Blood Lipids: Exploring the Factors Responsible for Variability in Their Efficacy

    Directory of Open Access Journals (Sweden)

    Antonio González-Sarrías

    2017-07-01

    Full Text Available Several randomized controlled trials (RCTs and meta-analyses support the benefits of flavanols on cardiometabolic health, but the factors affecting variability in the responses to these compounds have not been properly assessed. The objectives of this meta-analysis were to systematically collect the RCTs-based-evidence of the effects of flavanol-containing tea, cocoa and apple products on selected biomarkers of cardiometabolic risk and to explore the influence of various factors on the variability in the responses to the consumption of these products. A total of 120 RCTs were selected. Despite a high heterogeneity, the intake of the flavanol-containing products was associated using a random model with changes (reported as standardized difference in means (SDM in body mass index (−0.15, p < 0.001, waist circumference (−0.29, p < 0.001, total-cholesterol (−0.21, p < 0.001, LDL-cholesterol (−0.23, p < 0.001, and triacylglycerides (−0.11, p = 0.027, and with an increase of HDL-cholesterol (0.15, p = 0.005. Through subgroup analyses, we showed the influence of baseline-BMI, sex, source/form of administration, medication and country of investigation on some of the outcome measures and suggest that flavanols may be more effective in specific subgroups such as those with a BMI ≥ 25.0 kg/m2, non-medicated individuals or by specifically using tea products. This meta-analysis provides the first robust evidence of the effects induced by the consumption of flavanol-containing tea, cocoa and apple products on weight and lipid biomarkers and shows the influence of various factors that can affect their bioefficacy in humans. Of note, some of these effects are quantitatively comparable to those produced by drugs, life-style changes or other natural products. Further, RCTs in well-characterized populations are required to fully comprehend the factors affecting inter-individual responses to flavanol and thereby improve flavanols efficacy in the

  18. A Systematic Review and Meta-Analysis of the Effects of Flavanol-Containing Tea, Cocoa and Apple Products on Body Composition and Blood Lipids: Exploring the Factors Responsible for Variability in Their Efficacy

    Science.gov (United States)

    González-Sarrías, Antonio; Pinto, Paula; Dall’Asta, Margherita; Rodríguez-Mateos, Ana; Dumont, Julie; Massaro, Marika; Sánchez-Meca, Julio; Morand, Christine

    2017-01-01

    Several randomized controlled trials (RCTs) and meta-analyses support the benefits of flavanols on cardiometabolic health, but the factors affecting variability in the responses to these compounds have not been properly assessed. The objectives of this meta-analysis were to systematically collect the RCTs-based-evidence of the effects of flavanol-containing tea, cocoa and apple products on selected biomarkers of cardiometabolic risk and to explore the influence of various factors on the variability in the responses to the consumption of these products. A total of 120 RCTs were selected. Despite a high heterogeneity, the intake of the flavanol-containing products was associated using a random model with changes (reported as standardized difference in means (SDM)) in body mass index (−0.15, p < 0.001), waist circumference (−0.29, p < 0.001), total-cholesterol (−0.21, p < 0.001), LDL-cholesterol (−0.23, p < 0.001), and triacylglycerides (−0.11, p = 0.027), and with an increase of HDL-cholesterol (0.15, p = 0.005). Through subgroup analyses, we showed the influence of baseline-BMI, sex, source/form of administration, medication and country of investigation on some of the outcome measures and suggest that flavanols may be more effective in specific subgroups such as those with a BMI ≥ 25.0 kg/m2, non-medicated individuals or by specifically using tea products. This meta-analysis provides the first robust evidence of the effects induced by the consumption of flavanol-containing tea, cocoa and apple products on weight and lipid biomarkers and shows the influence of various factors that can affect their bioefficacy in humans. Of note, some of these effects are quantitatively comparable to those produced by drugs, life-style changes or other natural products. Further, RCTs in well-characterized populations are required to fully comprehend the factors affecting inter-individual responses to flavanol and thereby improve flavanols efficacy in the prevention of

  19. Human factor analysis and preventive countermeasures in nuclear power plant

    International Nuclear Information System (INIS)

    Li Ye

    2010-01-01

    Based on the human error analysis theory and the characteristics of maintenance in a nuclear power plant, human factors of maintenance in NPP are divided into three different areas: human, technology, and organization. Which is defined as individual factors, including psychological factors, physiological characteristics, health status, level of knowledge and interpersonal skills; The technical factors including technology, equipment, tools, working order, etc.; The organizational factors including management, information exchange, education, working environment, team building and leadership management,etc The analysis found that organizational factors can directly or indirectly affect the behavior of staff and technical factors, is the most basic human error factor. Based on this nuclear power plant to reduce human error and measures the response. (authors)

  20. 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%.

  1. Individual and Combined Effects of Dietary Factors on Risk of Incident Hypertension: Prospective Analysis From the NutriNet-Santé Cohort.

    Science.gov (United States)

    Lelong, Helene; Blacher, Jacques; Baudry, Julia; Adriouch, Solia; Galan, Pilar; Fezeu, Leopold; Hercberg, Serge; Kesse-Guyot, Emmanuelle

    2017-10-01

    Dietary intake is pointed as one of the major determinants in hypertension development. Data in the area are mostly obtained from cross-sectional studies. We aimed to investigate the prospective association between (1) individual nutritional factors and (2) adherence to the Dietary Approach to Stop Hypertension and the risk of incident hypertension in a large cohort study. We prospectively examined the incidence of hypertension among 80 426 French adults participating in the NutriNet-Santé cohort study. Self-reported sociodemographic, lifestyle health questionnaires and dietary consumption assessed by three 24-hour records were completed at baseline and yearly thereafter. Associations between quartiles (Q) of nutrients and food groups and adherence to Dietary Approach to Stop Hypertension diet and hypertension risk were assessed by multivariable Cox proportional hazards models. During a mean follow-up of 3.4±2.1 years, 2413 cases of incident hypertension were documented. Dietary intakes of sodium (Q4 versus Q1): hazard ratio (HR)=1.17 (95% confidence interval [CI], 1.02-1.35), potassium: HR=0.82 (95% CI, 0.72-0.94), animal protein: HR=1.26 (95% CI, 1.11-1.43), vegetable protein: HR=0.85 (95% CI, 0.75-0.95), fiber: HR =0.81 (95% CI, 0.71-0.93), magnesium: HR=0.77 (95% CI, 0.67-0.89), fruit and vegetables: HR=0.85 (95% CI, 0.74-0.97), whole grain: HR=0.84(95% CI, 0.76-0.93), nuts: HR=0.72 (95% CI, 0.63-0.83), and red and processed meat: HR=1.25 (95% CI, 1.11-0.42) were associated with risk of hypertension. Besides, adherence to the Dietary Approach to Stop Hypertension was strongly inversely associated with incident hypertension: (Q4 versus Q1) HR=0.66 (95% CI, 0.58-0.75). Our results confirmed the association of several nutritional factors intake and incident hypertension and highlighted that adopting a global healthy diet could strongly contribute to the prevention of hypertension. © 2017 American Heart Association, Inc.

  2. Effects of fear factors in disease propagation

    International Nuclear Information System (INIS)

    Wang Yubo; Xiao Gaoxi; Cheng, Tee Hiang; Wong Limsoon; Fu Xiuju; Ma, Stefan

    2011-01-01

    Upon an outbreak of a dangerous infectious disease, people generally tend to reduce their contacts with others in fear of getting infected. Such typical actions apparently help slow down the spreading of infection. Thanks to today's broad public media coverage, the fear factor may even contribute to preventing an outbreak from happening. We are motivated to study such effects by adopting a complex network approach. First we evaluate the simple case where connections between individuals are randomly removed due to the fear factor. Then we consider a different case where each individual keeps at least a few connections after contact reduction. Such a case is arguably more realistic since people may choose to keep a few social contacts, e.g., with their family members and closest friends, at any cost. Finally, a study is conducted on the case where connection removals are carried out dynamically while the infection is spreading out. Analytical and simulation results show that the fear factor may not easily prevent an epidemic outbreak from happening in scale-free networks. However, it significantly reduces the fraction of the nodes ever getting infected during the outbreak. (paper)

  3. Landslide susceptibility analysis using Probabilistic Certainty Factor ...

    Indian Academy of Sciences (India)

    GIS is an effective tool for managing and manipulating the spatial data with an appropriate model for mapping landslide susceptibility. Probabilistic models like frequency ratio (Lee and. Sambath 2006; Lee and Pradhan 2006, 2007; Vijith and Madhu 2008; Bai et al. 2010; Erener and. Duzgun 2010; Yilmaz 2010; Akinci et al.

  4. Factor analysis of dynamic radionuclide studies

    International Nuclear Information System (INIS)

    Barber, D.C.; Nijran, K.S.

    1982-01-01

    In this paper it has been assumed that theory space is generated from a theoretical model. In cases where a theoretical model cannot be given there would appear to be no obvious reason why theory space cannot be generated from a population of curves derived from careful manual analysis of many studies. The method could therefore be trained to extract the curves of interest even in the absence of a sound theoretical model of the physiological processes being investigated. The use of this method for more interesting types of study such as renograms is currently being investigated

  5. Application of factor analysis to the water quality in reservoirs

    Science.gov (United States)

    Silva, Eliana Costa e.; Lopes, Isabel Cristina; Correia, Aldina; Gonçalves, A. Manuela

    2017-06-01

    In this work we present a Factor Analysis of chemical and environmental variables of the water column and hydro-morphological features of several Portuguese reservoirs. The objective is to reduce the initial number of variables, keeping their common characteristics. Using the Factor Analysis, the environmental variables measured in the epilimnion and in the hypolimnion, together with the hydromorphological characteristics of the dams were reduced from 63 variables to only 13 factors, which explained a total of 83.348% of the variance in the original data. After performing rotation using the Varimax method, the relations between the factors and the original variables got clearer and more explainable, which provided a Factor Analysis model for these environmental variables using 13 varifactors: Water quality and distance to the source, Hypolimnion chemical composition, Sulfite-reducing bacteria and nutrients, Coliforms and faecal streptococci, Reservoir depth, Temperature, Location, among other factors.

  6. Risk of venous thromboembolism associated with single and combined effects of Factor V Leiden, Prothrombin 20210A and Methylenetethraydrofolate reductase C677T: a meta-analysis involving over 11,000 cases and 21,000 controls

    Science.gov (United States)

    Simone, B; De Stefano, V; Leoncini, E; Zacho, J; Martinelli, I; Emmerich, J; Rossi, E; Folsom, AR; Almawi, WY; Scarabin, PY; den Heijer, M; Cushman, M; Penco, S; Vaya, A; Angchaisuksiri, P; Okumus, G; Gemmati, D; Cima, S; Akar, N; Oguzulgen, KI; Ducros, V; Lichy, C; Fernandez-Miranda, C; Szczeklik, A; Nieto, JA; Torres, JD; Le Cam-Duchez, V; Ivanov, P; Cantu, C; Shmeleva, VM; Stegnar, M; Ogunyemi, D; Eid, SS; Nicolotti, N; De Feo, E; Ricciardi, W; Boccia, S

    2014-01-01

    BACKGROUND Genetic and environmental factors interact in determining the risk of venous thromboembolism (VTE). The risk associated with the polymorphic variants G1691A of factor V (Factor V Leiden,FVL), G20210A of prothrombin (PT20210A) and C677T of methylentetrahydrofolate reductase (C677T MTHFR) genes has been investigated in many studies. METHODS We performed a pooled analysis of case-control and cohort studies investigating in adults the association between each variant and VTE, published on Pubmed, Embase or Google through January 2010. Authors of eligible papers, were invited to provide all available individual data for the pooling. The Odds Ratio (OR) for first VTE associated with each variant, individually and combined with the others, were calculated with a random effect model, in heterozygotes and homozygotes (dominant model for FVL and PT20210A; recessive for C677T MTHFR). RESULTS We analysed 31 databases, including 11,239 cases and 21,521 controls. No significant association with VTE was found for homozygous C677T MTHFR (OR: 1.38; 95% confidence intervals [CI]: 0.98–1.93), whereas the risk was increased in carriers of either heterozygous FVL or PT20210 (OR=4.22; 95% CI: 3.35–5.32; and OR=2.79;95% CI: 2.25–3.46, respectively), in double hterozygotes (OR=3.42; 95%CI 1.64-7.13), and in homozygous FVL or PT20210A (OR=11.45; 95%CI: 6.79-19.29; and OR: 2.79; 95%CI: 2.25 – 3.46, respectively). The stratified analyses showed a stronger effect of FVL on individuals ≤45 years (p-value for interaction = 0.036) and of PT20210A in women using oral contraceptives (p-value for interaction = 0.045). CONCLUSIONS In this large pooled analysis, inclusive of large studies like MEGA, no effect was found for C677T MTHFR on VTE; FVL and PT20210A were confirmed to be moderate risk factors. Notably, double carriers of the two genetic variants produced an impact on VTE risk significantly increased but weaker than previously thought. PMID:23900608

  7. Prenatal Maternal Anxiety as a Risk Factor for Preterm Birth and the Effects of Heterogeneity on This Relationship: A Systematic Review and Meta-Analysis

    Directory of Open Access Journals (Sweden)

    M. Sarah Rose

    2016-01-01

    Full Text Available Background. Systematic reviews (SR and meta-analyses (MA that previously explored the relationship between prenatal maternal anxiety (PMA and preterm birth (PTB have not been comprehensive in study inclusion, failing to account for effects of heterogeneity and disagree in their conclusions. Objectives. This SRMA provides a summary of the published evidence of the relationship between PMA and PTB while examining methodological and statistical sources of heterogeneity. Methods. Published studies from MEDLINE, CINAHL, PsycINFO, and EMBASE, until June 2015, were extracted and reviewed. Results. Of the 37 eligible studies, 31 were used in this MA; six more were subsequently excluded due to statistical issues, substantially reducing the heterogeneity. The odds ratio for PMA was 1.70 (95% CI 1.33, 2.18 for PTB and 1.67 (95% CI 1.35, 2.07 for spontaneous PTB comparing higher levels of anxiety to lower levels. Conclusions. Consistent findings indicate a significant association between PMA and PTB. Due to the statistical problem of including collinear variables in a single regression model, it is hard to distinguish the effect of the various types of psychosocial distress on PTB. However, a prenatal program aimed at addressing mental health issues could be designed and evaluated using a randomised controlled trial to assess the causal nature of different aspects of mental health on PTB.

  8. 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

  9. Iranian Voice Quality of Life Profile (IVQLP): Factor Analysis.

    Science.gov (United States)

    Dehqan, Ali; Yadegari, Fariba; Scherer, Ronald C; Asgari, Ali; Dabirmoghadam, Payman

    2017-09-01

    An important domain in health-related quality of life evaluations is quality of life perceptions due to having a voice disorder. The objective of this study was to examine the factor structure of the Iranian Voice Quality of Life Profile (IVQLP) based on Exploratory Factor Analysis and confirmatory factor analysis. The study sample consisted of 280 patients (174 males and 106 females) diagnosed with MTD, benign organic disorders such as polyps and nodules, and unilateral vocal fold paralysis and cancer. To evaluate the different dimensions of the IVQLP, a principal component analysis (PCA) was conducted. Confirmatory factor analysis (CFA) was used to investigate the fitting of extracted dimensions and construct validity of the IVQLP. The results showed that the IVQLP has a 4-factor structure. The first factor has 17 items and refers to Emotions. The second factor has 12 items and refers to Individual/Social Relations. The third factor with 6 items refers to Occupation, and the forth with 5 items relates to Psychosomatic characteristics. The conclusion of this study is that the concept of quality of life in Iranian patients with voice disorders is somewhat different from that of Western patients. This difference can be seen in. the large number of items related to an Emotional factor and the identification of a Psychosomatic factor. Copyright © 2017 The Voice Foundation. All rights reserved.

  10. Analysis of factors associated with cracked teeth.

    Science.gov (United States)

    Seo, Deog-Gyu; Yi, Young-Ah; Shin, Su-Jung; Park, Jeong-Won

    2012-03-01

    The purpose of this study was to analyze the characteristics, distribution, and associated factors of longitudinal fractured teeth according to the well-defined criteria of the American Association of Endodontists (AAE). One hundred seven teeth with longitudinal fracture from 103 patients were diagnosed and analyzed. The patients' signs, symptoms, age, and sex were noted as well as the tooth number, dental arch, filling materials, size/classification of restoration, crack direction, pulp vitality, whether the patient had undergone endodontic treatment, bite test results, percussion test results, wear facet, and periodontal pocket depth. Eighty-seven teeth were diagnosed with a cracked tooth (81.3%), 14 were diagnosed with vertical root fracture (VRF, 13.1%), 4 had a split tooth (3.7%), and 2 had a fractured cusp (1.9%); 82.2% showed a sensitive reaction on the bite test. Longitudinal tooth fractures were observed most frequently in patient in their 40s. The upper first molar (28.0%) was most frequently cracked, followed by the lower first molar (25.2%), the lower second molar (20.6%), and the upper second molar (16.8%). Most longitudinal tooth fractures (72.0%) occurred mainly in restored teeth, whereas only 28.0% were found in intact teeth. Compared with resin (4.7%) or porcelain (0.9%), the use of nonbonded inlay restoration materials such as gold (20.5%) or amalgam (18.7%) increased the occurrence of longitudinal tooth fractures. Out of 107 of longitudinal fractured teeth, 33 (30.8%) were treated endodontically and 74 (69.2%) were not. VRF was associated with endodontic treatment. The bite test is most reliable for reproducing symptoms. The combined use of various examination methods is recommended for detecting cracks and minutely inspecting all directions of a tooth. Copyright © 2012 American Association of Endodontists. Published by Elsevier Inc. All rights reserved.

  11. Cost benefit analysis cost effectiveness analysis

    International Nuclear Information System (INIS)

    Lombard, J.

    1986-09-01

    The comparison of various protection options in order to determine which is the best compromise between cost of protection and residual risk is the purpose of the ALARA procedure. The use of decision-aiding techniques is valuable as an aid to selection procedures. The purpose of this study is to introduce two rather simple and well known decision aiding techniques: the cost-effectiveness analysis and the cost-benefit analysis. These two techniques are relevant for the great part of ALARA decisions which need the use of a quantitative technique. The study is based on an hypothetical case of 10 protection options. Four methods are applied to the data

  12. Comparison of the long-term effects of high-fat v. low-fat diet consumption on cardiometabolic risk factors in subjects with abnormal glucose metabolism: a systematic review and meta-analysis.

    Science.gov (United States)

    Schwingshackl, Lukas; Hoffmann, Georg

    2014-06-28

    The aim of the present systematic review and meta-analysis was to examine the long-term effects (≥ 12 months) of high-fat (HF) v. low-fat (LF) diet consumption on the indicators of glycaemic control as well as cardiovascular risk factors in pre-diabetic and diabetic individuals. Literature search was carried out using the electronic databases MEDLINE, Embase and the Cochrane Trial Register until November 2013. Study-specific weighted mean differences (MD) were pooled using a random-effects model of the Cochrane software package Review Manager 5.1 and Stata 12.0 was used for meta-regressions. A total of fourteen trials met the inclusion criteria and a maximum of 1753 subjects were included in the meta-analysis. HF regimens were found to result in a significant decrease in TAG levels (MD -0·19 mmol/l, 95 % CI -0·23, -0·14, Ppatients with type 2 diabetes adhering to a HF diet. HF and LF diets might not be of equal value in the management of either pre-diabetes or type 2 diabetes, leading to emphasis being placed on the recommendations of HF diets.

  13. Problems with EM Algorithms for ML Factor Analysis.

    Science.gov (United States)

    Bentler, P. M.; Tanaka, Jeffrey S.

    1983-01-01

    Rubin and Thayer recently presented equations to implement maximum likelihood estimation in factor analysis via the EM algorithm. It is argued here that the advantages of using the EM algorithm remain to be demonstrated. (Author/JKS)

  14. 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.

  15. Irradiation effects analysis

    International Nuclear Information System (INIS)

    Anon.

    1977-01-01

    The atomic motion in a copper lattice following the production of primary knock-on atoms (PKAs) with energies from 25 to 200 eV has been simulated. A mixed Moliere-Englert pair potential was used to model the copper lattice. The computer code COMENT, which employs the dynamical method, was used to analyze the motion of up to 6000 atoms per time step during cascade evolution. The atoms were specified as initially at rest on the sites of an ideal lattice. A matrix of 12 PKA directions and 6 PKA energies was investigated. Displacement thresholds in the and were calculated to be approximately 17 and 20 eV, respectively. A table showing the stability of isolated Frenkel pairs with different vacancy and interstitial orientations and separations is presented. The numbers of Frenkel pairs and atomic replacements are tabulated as a function of PKA direction for each energy. For PKA energies of 25, 50, 75, 100, 150, and 200 eV, the average number of Frenkel pairs per PKA are 0.4, .6, 1.0, 1.2, 1.4, and 2.2 and the average numbers of replacements per PKA are 2.4, 4.0, 3.3, 4.9, 9.3, and 15.8. A simplified random walk annealing code, SCAS (Stochastic Cascade Annealing Simulator) has been completed for application to the short-term annealing of displacement cascades. The status of radiation damage analysis as applied to fusion reactor first walls is discussed and assessed

  16. Investigating the effective factors on electronic trade by viral marketing

    Directory of Open Access Journals (Sweden)

    Nina Ghane

    2014-04-01

    Full Text Available This paper performs an investigation to explore a number of strategies underpinning virtual marketing. The study also provides several suggestions for marketers seeking to use viral marketing to position brands or to change a brand’s image, to encourage new product trials and to increase product uptake rates. In this article, we investigate the effect of external factors such as capturing the imagination, targeting credible sources, leveraging combinations of technology and easy to use product on virtual marketing. In addition, the study considers internal factors such as inclusion (the need to be part of a group, the need to be different and affection on viral marketing. The survey has been accomplished among 140 Iranian people, who were familiar with virtual marketing and they are selected, randomly. Using Pearson correlation as well as regression analysis, the study provides some evidences that there were some positive and meaningful relationship between some internal/external factors and virtual marketing.

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

    OpenAIRE

    Kathy Ahern

    2002-01-01

    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 fo...

  18. Establishing Evidence for Internal Structure Using Exploratory Factor Analysis

    Science.gov (United States)

    Watson, Joshua C.

    2017-01-01

    Exploratory factor analysis (EFA) is a data reduction technique used to condense data into smaller sets of summary variables by identifying underlying factors potentially accounting for patterns of collinearity among said variables. Using an illustrative example, the 5 general steps of EFA are described with best practices for decision making…

  19. Left ventricular wall motion abnormalities evaluated by factor analysis as compared with Fourier analysis

    International Nuclear Information System (INIS)

    Hirota, Kazuyoshi; Ikuno, Yoshiyasu; Nishikimi, Toshio

    1986-01-01

    Factor analysis was applied to multigated cardiac pool scintigraphy to evaluate its ability to detect left ventricular wall motion abnormalities in 35 patients with old myocardial infarction (MI), and in 12 control cases with normal left ventriculography. All cases were also evaluated by conventional Fourier analysis. In most cases with normal left ventriculography, the ventricular and atrial factors were extracted by factor analysis. In cases with MI, the third factor was obtained in the left ventricle corresponding to wall motion abnormality. Each case was scored according to the coincidence of findings of ventriculography and those of factor analysis or Fourier analysis. Scores were recorded for three items; the existence, location, and degree of asynergy. In cases of MI, the detection rate of asynergy was 94 % by factor analysis, 83 % by Fourier analysis, and the agreement in respect to location was 71 % and 66 %, respectively. Factor analysis had higher scores than Fourier analysis, but this was not significant. The interobserver error of factor analysis was less than that of Fourier analysis. Factor analysis can display locations and dynamic motion curves of asynergy, and it is regarded as a useful method for detecting and evaluating left ventricular wall motion abnormalities. (author)

  20. Factors Affecting Effectiveness of Fecal Microbiota Transplant

    Science.gov (United States)

    Mosby, Danielle; Mcgraw, Patty; Duffalo, Chad; Drees, Marci; Depalma, Fedele; Herdman, Christine; Myerson, Scott; Bacon, Alfred E

    2017-01-01

    Abstract Background Fecal microbiota transplant (FMT) is an effective treatment for relapsing Clostridium difficile infection (CDI). With more widespread use of this intervention, variable cure rates (70–95%) have been observed. We conducted this study to identify specific patient- and procedure-level factors affecting FMT effectiveness, hypothesizing that those patients with higher comorbidity, inadequate bowel preparation, and shorter retention of transplant would fail more frequently. Methods At our 2-hospital, >1100-bed community-based academic center, we prospectively followed patients pre/post-FMT between June 2014-April 2017. To undergo FMT, patients must have ≥2 CDI relapses and failed vancomycin taper. We entered all FMT patients into a registry and followed them regularly for up to 1 year, collecting age, Charlson Comorbidity Index, number of CDI relapses, Boston bowel prep score, and stool retention time. FMT donor stool was obtained from OpenBiome (Boston, MA). We defined failure as recurrent CDI requiring treatment ≤8 weeks after FMT. We used 1-sided t-tests to test our hypotheses. Results During the study period, 41 patients (mean age 65 years, SD 17.6) underwent FMT. Most (37, 90%) were performed via colonoscopy, 1 via upper endoscopy, and 3 via oral preparation (capsules). FMT failure occurred in 10 patients (24.4%). Nearly half (n = 20) reported adverse events, including constipation, gas, abdominal pain, blood in stool, and fatigue. Three patients expired from comorbid disease, and 3 were lost to follow-up. Patients with higher Charlson scores failed more frequently (P = 0.04), and history of tumor (P = 0.03) and pulmonary disease (P = 0.04) were both associated with failure. No other factors, including age, retention time, and Boston bowel prep score, were associated with failure. Conclusion This study found that patients with multiple comorbid conditions, as defined by the Charlson index, are at risk for FMT failure. However, quality of

  1. Exploratory factor analysis of a Force Concept Inventory data set

    Directory of Open Access Journals (Sweden)

    Terry F. Scott

    2012-07-01

    Full Text Available We perform a factor analysis on a “Force Concept Inventory” (FCI data set collected from 2109 respondents. We address two questions: the appearance of conceptual coherence in student responses to the FCI and some consequences of this factor analysis on the teaching of Newtonian mechanics. We will highlight the apparent conflation of Newton’s third law with Newton’s first law in one of the FCI questions and suggest an approach to teaching that may avoid this issue. We also note the absence of a distinct factor interpretable as relating specifically to kinematics. Furthermore, we identify and discuss some of the technical difficulties which may be encountered when performing factor analysis on categorical data sets, such as is the case with FCI data sets.

  2. 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...... to model correlation between 19 register-based indicators for the quality of non-steroidal anti-inflammatory drug (NSAID) prescribing. RESULTS: The correlation between indicators ranged widely from 0 to 0.93. Factor analysis revealed three dimensions of quality: (1) "Coxib preference", 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....

  3. Analysis of Predisposing Factors for Hearing Loss in Adults.

    Science.gov (United States)

    Lee, Joong Seob; Choi, Hyo Geun; Jang, Jeong Hun; Sim, Songyong; Hong, Sung Kwang; Lee, Hyo-Jeong; Park, Bumjung; Kim, Hyung-Jong

    2015-08-01

    We aimed to estimate the effects of various risk factors on hearing level in Korean adults, using data from the Korea National Health and Nutrition Examination Survey. We examined data from 13,369 participants collected between 2009 and 2011. Average hearing thresholds at low (0.5, 1, and 2 kHz) and high frequencies (3, 4, and 6 kHz), were investigated in accordance with various known risk factors via multiple regression analysis featuring complex sampling. We additionally evaluated data from 4,810 participants who completed a questionnaire concerned with different types of noise exposure. Low body mass index, absence of hyperlipidemia, history of diabetes mellitus, low incomes, low educational status, and smoking were associated with elevated low frequency hearing thresholds. In addition, male sex, low body mass index, absence of hyperlipidemia, low income, low educational status, smoking, and heavy alcohol consumption were associated with elevated high frequency hearing thresholds. Participants with a history of earphone use in noisy circumstances demonstrated hearing thresholds which were 1.024 dB (95% CI: 0.176 to 1.871; P = 0.018) higher, at low-frequencies, compared to participants without a history of earphone use. Our study suggests that low BMI, absence of hyperlipidemia, low household income, and low educational status are related with hearing loss in Korean adults. Male sex, smoking, and heavy alcohol use are related with high frequency hearing loss. A history of earphone use in noisy circumstances is also related with hearing loss.

  4. Analysis of the interaction between transcription factor 7-like 2 genetic variants with nopal and wholegrain fibre intake: effects on anthropometric and metabolic characteristics in type 2 diabetes patients.

    Science.gov (United States)

    López-Ortiz, M M; Garay-Sevilla, M E; Tejero, M E; Perez-Luque, E L

    2016-09-01

    The transcription factor 7-like 2 (TCF7L2) genetic variants have shown differential effect on low-fat and high-fat diet in obese subjects. Nopal is a Mexican variety of cactus that is a traditional food and has been used in the treatment of diabetes. Its hypoglycaemic effect may be because of its soluble fibre (mucopolysaccharide) content. This study analysed the effects of the rs7903146 and rs12255372 TCF7L2 variants on anthropometric, metabolic and hormonal parameters in type 2 diabetes mellitus patients who consumed fibre from either nopal tortilla or wholegrain bread for 8 weeks. We followed-up seventy-four patients who consumed an individualised isoenergetic diet that included nopal tortilla (Diet 1) and sixty-three patients with a diet that included wholegrain bread (Diet 2). Anthropometric, metabolic and hormonal measures were collected at baseline and final intervention. The size effect and carry-over effect were estimated. To assess the interaction of genotype and diets, we used a general linear model repeated-measures analysis. Minor allele frequency of rs7903146T was 0·27 and for rs12255372T it was 0·13. At 8 weeks after Diet 1 intake, weight, BMI, waist and hip circumference decreased (P=0·00015) in rs7903146CC and rs12255372GG genotypes. In particular, patients carrying of the rs7903146CC and consuming Diet 1 showed a reduction in waist circumference of more than 2·5 cm compared with Diet 2 (P<0·001). No significant interaction between rs7903146 or rs12255372 and diet was seen in this study. In conclusion, in the carriers of the rs7903146CC and rs12255372GG wild types, significant changes in all anthropometric measures were observed, and had better response to both diets.

  5. Analysis of a factor that influences cancer outpatient fatigue

    International Nuclear Information System (INIS)

    Kogure, Mayumi; Hosokawa, Mai; Takagai, Junko; Ishida, Kazuko; Kano, Taro; Kanda, Kiyoko

    2008-01-01

    The fatigue seen in many cancer cases is considered to be decrease quality of life. We clarified factors related to such fatigue and used out result to relieve fatigue. We conducted a questionnaire using the Cancer Fatigue Scale (CFS) on 204 cancer outpatients at the A hospital. We studied 16 factors influencing fatigue and analyzed the relationships among these factors and CFS scores. The mean of total fatigue scores was 23.0 points (standard deviation: 10.0). The fatigue is strong by higher than 19 points of the CFS scores. That frequency was 64.7%. The logistic regression analysis was conducted the influence factors of fatigue. Logistic regression analysis was conducted for items showing a significant difference Performance States (PS), loneliness, hormonal therapy, and radiation therapy. The conclusion of this study was to reduce fatigue in outpatient cancer treatment, it was suggested to that importance to assess a related factor of fatigue. (author)

  6. Meta-Analysis of Selected Maternal and Fetal Factors for Perinatal ...

    African Journals Online (AJOL)

    BACKGROUND: In several developing countries, achieving Millennium Development Goal 4 is still off track. Multiple maternal and fetal risk factors were inconsistently attributed to the high perinatal mortality in developing countries. However, there was no meta-analysis that assessed the pooled effect of these factors on ...

  7. Deterministic factor analysis: methods of integro-differentiation of non-integral order

    Directory of Open Access Journals (Sweden)

    Valentina V. Tarasova

    2016-12-01

    Full Text Available Objective to summarize the methods of deterministic factor economic analysis namely the differential calculus and the integral method. nbsp Methods mathematical methods for integrodifferentiation of nonintegral order the theory of derivatives and integrals of fractional nonintegral order. Results the basic concepts are formulated and the new methods are developed that take into account the memory and nonlocality effects in the quantitative description of the influence of individual factors on the change in the effective economic indicator. Two methods are proposed for integrodifferentiation of nonintegral order for the deterministic factor analysis of economic processes with memory and nonlocality. It is shown that the method of integrodifferentiation of nonintegral order can give more accurate results compared with standard methods method of differentiation using the first order derivatives and the integral method using the integration of the first order for a wide class of functions describing effective economic indicators. Scientific novelty the new methods of deterministic factor analysis are proposed the method of differential calculus of nonintegral order and the integral method of nonintegral order. Practical significance the basic concepts and formulas of the article can be used in scientific and analytical activity for factor analysis of economic processes. The proposed method for integrodifferentiation of nonintegral order extends the capabilities of the determined factorial economic analysis. The new quantitative method of deterministic factor analysis may become the beginning of quantitative studies of economic agents behavior with memory hereditarity and spatial nonlocality. The proposed methods of deterministic factor analysis can be used in the study of economic processes which follow the exponential law in which the indicators endogenous variables are power functions of the factors exogenous variables including the processes

  8. The mathematical pathogenetic factors analysis of acute inflammatory diseases development of bronchopulmonary system among infants

    Directory of Open Access Journals (Sweden)

    G. O. Lezhenko

    2017-10-01

    Full Text Available The purpose. To study the factor structure and to establish the associative interaction of pathogenetic links of acute diseases development of the bronchopulmonary system in infants.Materials and methods. The examination group consisted of 59 infants (average age 13.8 ± 1.4 months sick with acute inflammatory bronchopulmonary diseases. Also we tested the level of 25-hydroxyvitamin D (25(ОНD, vitamin D-binding protein, hBPI, cathelicidin LL-37, ß1-defensins, lactoferrin in blood serum with the help of immunoenzymometric analysis. Selection of prognostically important pathogenetic factors of acute bronchopulmonary disease among infants was conducted using ROC-analysis. The procedure for classifying objects was carried out using Hierarchical Cluster Analysis by the method of Centroid-based clustering. Results. Based on the results of the ROC-analysis were selected 15 potential predictors of the development of acute inflammatory diseases of the bronchopulmonary system among infants. The factor analysis made it possible to determine the 6 main components . The biggest influence in the development of the disease was made by "the anemia factor", "the factor of inflammation", "the maternal factor", "the vitamin D supply factor", "the immune factor" and "the phosphorus-calcium exchange factor” with a factor load of more than 0.6. The performed procedure of hierarchical cluster analysis confirmed the initial role of immuno-inflammatory components. The conclusions. The highlighted factors allowed to define a group of parameters, that must be influenced to achieve a maximum effect in carrying out preventive and therapeutic measures. First of all, it is necessary to influence the "the anemia factor" and "the calcium exchange factor", as well as the "the vitamin D supply factor". In other words, to correct vitamin D deficiency and carry out measures aimed at preventing the development of anemia. The prevention and treatment of the pathological course of

  9. A Meta-analysis on the Effect of Ulinastatin on Serum Levels of C-Reactive Protein, Interleukin 6, and Tumor Necrosis Factor Alpha in Asian Patients with Acute Pancreatitis.

    Science.gov (United States)

    Zhang, Chunze; Wang, Yijia; Fu, Wenzheng; Zhang, Weihua; Wang, Tao; Qin, Hai

    2016-03-01

    We aimed to investigate the influence of ulinastatin (UTI) on the serum levels of C-reactive protein (CRP), interleukin 6 (IL-6), and tumor necrosis factor alpha (TNF-α) in Asian patients with acute pancreatitis (AP) by performance of a meta-analysis. Two investigators independently searched 11 databases, including PUBMED, EBSCO, Ovid, SpringerLink, Wiley, Web of Science, Cochrane Library, Wanfang database, China National Knowledge Infrastructure (CNKI), Chinese Journal Full-text Database, and China Biomedicine Database. The full-text articles were screened and the data were extracted using a standardized data extraction form. All statistical analyses were conducted with Stata software, version 12.0 (Stata Corporation, College Station, TX). A total of 94 studies were initially retrieved, and 10 studies containing 424 Asian patients with AP were ultimately enrolled in this meta-analysis. The results revealed that the serum levels of CRP, IL-6, and TNF-α in Asian AP patients significantly decreased after UTI therapy (CRP: standardized mean difference [SMD] = 3.26, 95% confidence interval [CI] = 1.69-4.83, p < 0.001; IL-6: SMD = 5.92, 95% CI = 2.09-9.75, p = 0.002; TNF-α: SMD = 4.07, 95% CI = 0.79-7.35, p = 0.015). The results of this meta-analysis suggest that UTI can effectively depress the serum levels of CRP, IL-6, and TNF-α in Asian patients with AP, and thereby inhibit inflammation.

  10. Empirical Analysis Of Factors Influencing The Level Of Job Satisfaction Of Caucasian And Hispanic Accounting Professionals

    OpenAIRE

    Glen D. Moyes; Tammi C. Redd

    2011-01-01

    This study examines the effect of 78 work-related variables on the level of job satisfaction of Caucasian and Hispanic accounting professionals. Factor analysis with Varimax Rotation reduced the number of variables to 12 factor groups for the Caucasian accountants and 11 factor groups for the Hispanic accountants. Data were analyzed using multiple regression models using the level of job satisfaction perceived by the Caucasian or Hispanic accountants as the dependent variable. From the Caucas...

  11. Using Multilevel Factor Analysis with Clustered Data: Investigating the Factor Structure of the Positive Values Scale

    Science.gov (United States)

    Huang, Francis L.; Cornell, Dewey G.

    2016-01-01

    Advances in multilevel modeling techniques now make it possible to investigate the psychometric properties of instruments using clustered data. Factor models that overlook the clustering effect can lead to underestimated standard errors, incorrect parameter estimates, and model fit indices. In addition, factor structures may differ depending on…

  12. A method of factor analysis for shape coordinates.

    Science.gov (United States)

    Bookstein, Fred L

    2017-10-01

    Currently the most common reporting style for a geometric morphometric (GMM) analysis of anthropological data begins with the principal components of the shape coordinates to which the original landmark data have been converted. But this focus often frustrates the organismal biologist, mainly because principal component analysis (PCA) is not aimed at scientific interpretability of the loading patterns actually uncovered. The difficulty of making biological sense of a PCA is heightened by aspects of the shape coordinate setting that further diverge from our intuitive expectations of how morphometric measurements ought to combine. More than 50 years ago one of our sister disciplines, psychometrics, managed to build an algorithmic route from principal component analysis to scientific understanding via the toolkit generally known as factor analysis. This article introduces a modification of one standard factor-analysis approach, Henry Kaiser's varimax rotation of 1958, that accommodates two of the major differences between the GMM context and the psychometric context for these approaches: the coexistence of "general" and "special" factors of form as adumbrated by Sewall Wright, and the typical loglinearity of partial warp variance as a function of bending energy. I briefly explain the history of principal components in biometrics and the contrast with factor analysis, introduce the modified varimax algorithm I am recommending, and work three examples that are reanalyses of previously published cranial data sets. A closing discussion emphasizes the desirability of superseding PCA by algorithms aimed at anthropological understanding rather than classification or ordination. © 2017 Wiley Periodicals, Inc.

  13. Israel's Security Barrier: Effects On Operational Factors

    National Research Council Canada - National Science Library

    2004-01-01

    .... The route of the barrier is tinder intense discussion at this time and if implemented as planned by the Sharon government will negatively affect the factors of space and force. The barrier must be constructed along the correct route in order to maximize operational factors.

  14. EFFECTS OF PROCUREMENT RELATED FACTORS ON ...

    African Journals Online (AJOL)

    Osondu

    2013-03-04

    Mar 4, 2013 ... of the market, government policies, government as major client, regulating feasibility, technology feasibility amongst other variables. All these above factors can influence the selection of an appropriate procurement method that can also affect project performance. Tendering Method Related Factors.

  15. A retro-prospective effectiveness study on 3448 implant operations at one referral clinic: A multifactorial analysis. Part II: Clinical factors associated to peri-implantitis surgery and late implant failures.

    Science.gov (United States)

    Jemt, Torsten

    2017-12-01

    Little knowledge is available on implant treatment in large effectiveness studies in routine practice. To report retro-prospective data on prevalence of peri-implantitis surgery and late implant failures in a large number of routine patients at 1 referral clinic. Altogether 9582 implants with an anodized surface (Nobel Biocare AB) were consecutively placed between 2003 and 2011 and followed-up to end of 2015. All peri-implantitis operations and late implant failures were consecutively identified. A logistic multivariate data analysis was performed to identify association between the complications and different clinical factors. Furthermore, data on prevalence on risk for inflammation and bone loss at implants ("peri-implantitis") and surgery related to peri-implantitis was collected for another reference group of about 10 000 implant patients during 3 consecutive years (2013-2015). Cumulative survival rates for implant operations without peri-implantitis surgery or implant failures were calculated to 96.4% (95% CI: 97.3-95.4) and 95.0% (95% CI: 96.0-94.1) after 10 years, respectively. Risk for "peri-implantitis surgery" showed a significant association (P implants (hazard ratio [HR] 1.40; 95% CI: 1.24-1.59). Three factors showed significant association to risk for "late implant failures," where "treatment in lower jaw" had the highest risk; HR 2.03. "Overall implant failures" were associated to 4 significant factors where "surgeon" (HR 2.50) showed highest impact on risk. "Numbers of implants" and "bone resorption" at surgery were the 2 significant factors that were consistent for all the time periods of failures during follow-up (early/late/total). On an average 7.4% of examined patients in the reference group were denoted with highest risk group ("peri-implantitis") of which on an average 12.7% of these patients had surgery related to peri-implantitis. "The dentist" involved in the surgical and prosthetic rehabilitation of the implant patients, "number of

  16. Critical analysis of risk factors for shoulder dystocia.

    Science.gov (United States)

    Tsur, Avishai; Sergienko, Ruslan; Wiznitzer, Arnon; Zlotnik, Alexander; Sheiner, Eyal

    2012-05-01

    The study was aimed to define trends, risk factors and perinatal outcome associated with shoulder dystocia (SD). A population-based study comparing all singleton deliveries with and without SD was conducted. Statistical analysis was performed using multiple logistic regression analysis. Shoulder dystocia complicated 0.2% (n = 451) of all deliveries included in the study (n = 240,189). The rate of SD declined from 0.4% in 1988 to 0.13% in 2009. Independent risk factors for SD in a multivariable analysis were fetal macrosomia (birth-weight ≥ 4 kg; OR = 16.1; 95% CI 13.2-19.6, P Shoulder dystocia, associated with macrosomia, labor dystocia, diabetes mellitus, and advanced maternal age, is an independent risk factor for perinatal mortality. In an era of increased rate of cesarean deliveries, and perhaps increased accuracy of birth weight estimation, the rate of shoulder dystocia gradually declines.

  17. An SPSS R-Menu for Ordinal Factor Analysis

    OpenAIRE

    Basto, Mário; Pereira, José Manuel

    2012-01-01

    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 writte...

  18. Factor analysis of the contextual fine motor questionnaire in children.

    Science.gov (United States)

    Lin, Chin-Kai; Meng, Ling-Fu; Yu, Ya-Wen; Chen, Che-Kuo; Li, Kuan-Hua

    2014-02-01

    Most studies treat fine motor as one subscale in a developmental test, hence, further factor analysis of fine motor has not been conducted. In fact, fine motor has been treated as a multi-dimensional domain from both clinical and theoretical perspectives, and therefore to know its factors would be valuable. The aim of this study is to analyze the internal consistency and factor validity of the Contextual Fine Motor Questionnaire (CFMQ). Based on the ecological observation and literature, the Contextual Fine Motor Questionnaire (CFMQ) was developed and includes 5 subscales: Pen Control, Tool Use During Handicraft Activities, the Use of Dining Utensils, Connecting and Separating during Dressing and Undressing, and Opening Containers. The main purpose of this study is to establish the factorial validity of the CFMQ through conducting this factor analysis study. Among 1208 questionnaires, 904 were successfully completed. Data from the children's CFMQ submitted by primary care providers was analyzed, including 485 females (53.6%) and 419 males (46.4%) from grades 1 to 5, ranging in age from 82 to 167 months (M=113.9, SD=16.3). Cronbach's alpha was used to measure internal consistency and explorative factor analysis was applied to test the five factor structures within the CFMQ. Results showed that Cronbach's alpha coefficient of the CFMQ for 5 subscales ranged from .77 to .92 and all item-total correlations with corresponding subscales were larger than .4 except one item. The factor loading of almost all items classified to their factor was larger than .5 except 3 items. There were five factors, explaining a total of 62.59% variance for the CFMQ. In conclusion, the remaining 24 items in the 5 subscales of the CFMQ had appropriate internal consistency, test-retest reliability and construct validity. Copyright © 2013 Elsevier Ltd. All rights reserved.

  19. Safety and human factors engineering analysis. Heat recovery incinerator installation

    Science.gov (United States)

    1982-09-01

    This report contains a safety and human factors analysis of the Navy's heat recovery incinerator (HRI) systems. These requirements were based on current military standards and an evaluation of the HRI's at NAS, Jacksonville and NS, Mayport, Fl. The data collected were used to develop preliminary design criteria for future HRIs. The safety analysis lists specific areas where problems can occur and what should be done to prevent injury to plant personnel. The human factors design criteria section lists steps that can be taken to improve personnel and plant operating efficiency. Finally, specific problems that are occurring at NAS, Jacksonville and NS, Mayport are given.

  20. 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.

  1. Two Expectation-Maximization Algorithms for Boolean Factor Analysis

    Czech Academy of Sciences Publication Activity Database

    Frolov, A. A.; Húsek, Dušan; Polyakov, P.Y.

    2014-01-01

    Roč. 130, 23 April (2014), s. 83-97 ISSN 0925-2312 R&D Projects: GA ČR GAP202/10/0262 Grant - others:GA MŠk(CZ) ED1.1.00/02.0070; GA MŠk(CZ) EE.2.3.20.0073 Program:ED Institutional research plan: CEZ:AV0Z10300504 Keywords : Boolean Factor analysis * Binary Matrix factorization * Neural networks * Binary data model * Dimension reduction * Bars problem Subject RIV: IN - Informatics, Computer Science Impact factor: 2.083, year: 2014

  2. 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.

  3. Some new methods for three-mode factor analysis and multi-set factor analysis

    NARCIS (Netherlands)

    Lam, Tam

    2015-01-01

    Dit proefschrift gaat over exploratieve componenten analyse en common factor analyse technieken voor meer-weg en meer-set data. We gebruiken exploratieve componenten analyse om een 4-weg dataset te analyseren van een Belief in a Just World (BJW) vragenlijst. Hierbij werden de proefpersonen gevraagd

  4. 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.

  5. 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.

  6. 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.

  7. Analysis of Factors Affecting Positron Emission Mammography (PEM) Image Formation

    International Nuclear Information System (INIS)

    Smith, Mark F.; Majewski, Stan; Weisenberger, Andrew G.; Kieper, Douglas A.; Raylman, Raymond R.; Turkington, Timothy G.

    2001-01-01

    Image reconstruction for positron emission mammography (PEM) with the breast positioned between two parallel, planar detectors is usually performed by backprojection to image planes. Three important factors affecting PEM image reconstruction by backprojection are investigated: (1) image uniformity (flood) corrections, (2) image sampling (pixel size) and (3) count allocation methods. An analytic expression for uniformity correction is developed that incorporates factors for spatial-dependent detector sensitivity and geometric effects from acceptance angle limits on coincidence events. There is good agreement between experimental floods from a PEM system with a pixellated detector and numerical simulations. The analytic uniformity corrections are successfully applied to image reconstruction of compressed breast phantoms and reduce the necessity for flood scans at different image planes. Experimental and simulated compressed breast phantom studies show that lesion contrast is improved when the image pixel size is half of, rather than equal to, the detector pixel size, though this occurs at the expense of some additional image noise. In PEM reconstruction counts usually are allocated to the pixel in the image plane intersected by the line of response (LOR) between the centers of the detection pixels. An alternate count allocation method is investigated that distributes counts to image pixels in proportion to the area of the tube of response (TOR) connecting the detection pixels that they overlay in the image plane. This TOR method eliminates some image artifacts that occur with the LOR method and increases tumor signal-to-noise ratios at the expense of a slight decrease in tumor contrast. Analysis of image uniformity, image sampling and count allocation methods in PEM image reconstruction points to ways of improving image formation. Further work is required to optimize image reconstruction parameters for particular detection or quantitation tasks

  8. Analysis of Factors Affecting Positron Emission Mammography (PEM) Image Formation

    Energy Technology Data Exchange (ETDEWEB)

    Mark F. Smith; Stan Majewski; Andrew G. Weisenberger; Douglas A. Kieper; Raymond R. Raylman; Timothy G. Turkington

    2001-11-01

    Image reconstruction for positron emission mammography (PEM) with the breast positioned between two parallel, planar detectors is usually performed by backprojection to image planes. Three important factors affecting PEM image reconstruction by backprojection are investigated: (1) image uniformity (flood) corrections, (2) image sampling (pixel size) and (3) count allocation methods. An analytic expression for uniformity correction is developed that incorporates factors for spatial-dependent detector sensitivity and geometric effects from acceptance angle limits on coincidence events. There is good agreement between experimental floods from a PEM system with a pixellated detector and numerical simulations. The analytic uniformity corrections are successfully applied to image reconstruction of compressed breast phantoms and reduce the necessity for flood scans at different image planes. Experimental and simulated compressed breast phantom studies show that lesion contrast is improved when the image pixel size is half of, rather than equal to, the detector pixel size, though this occurs at the expense of some additional image noise. In PEM reconstruction counts usually are allocated to the pixel in the image plane intersected by the line of response (LOR) between the centers of the detection pixels. An alternate count allocation method is investigated that distributes counts to image pixels in proportion to the area of the tube of response (TOR) connecting the detection pixels that they overlay in the image plane. This TOR method eliminates some image artifacts that occur with the LOR method and increases tumor signal-to-noise ratios at the expense of a slight decrease in tumor contrast. Analysis of image uniformity, image sampling and count allocation methods in PEM image reconstruction points to ways of improving image formation. Further work is required to optimize image reconstruction parameters for particular detection or quantitation tasks.

  9. Critical postcraniotomy cerebrospinal fluid hypovolemia: risk factors and outcome analysis.

    Science.gov (United States)

    Komotar, Ricardo J; Ransom, Evan R; Mocco, J; Zacharia, Brad E; McKhann, Guy M; Mayer, Stephan A; Connolly, E Sander

    2006-08-01

    Critical cerebrospinal fluid (CSF) hypovolemia may cause acute postoperative clinical deterioration in aneurysmal subarachnoid hemorrhage patients after craniotomy for microsurgical aneurysm clipping. We sought to identify risk factors for critical CSF hypovolemia and determine this syndrome's effect on clinical outcome. Between April 2001 and June 2004 at Columbia University Medical Center, 16 aneurysmal subarachnoid hemorrhage patients were diagnosed with postoperative critical CSF hypovolemia, whereas 151 patients who underwent craniotomy for clipping were not. The demographics, as well as the presenting radiographic and clinical characteristics, of these groups were evaluated. In addition, a 2:1 matched case-control comparison of patients with and without critical CSF hypovolemia was completed using clinical data, operative variables, and outcome data. Outcome analysis was performed with a battery of tests designed to assess global outcome, cognitive function, independence, and quality of life. There was no difference in clinical grade, Fisher score, age, and sex distribution between patients diagnosed with critical CSF hypovolemia and the general aneurysmal subarachnoid hemorrhage population at Columbia University Medical Center. Subsequent 2:1 matched case-control comparison demonstrated a higher incidence of global cerebral edema on admission computed tomographic scans (75 versus 31%; P < 0.01) and a significantly longer operative time for patients with critical CSF hypovolemia (5 h 18 min versus 4 h 22 min; P < 0.03). No significant differences were observed between groups in outcome assessments at the time of hospital discharge or the 3-month follow-up examination. Risk factors associated with an increased incidence of critical CSF hypovolemia after aneurysm surgery include the presence of global cerebral edema on admission head computed tomographic scans and prolonged operative time. In such patients, heightened suspicion of CSF hypovolemia is crucial

  10. A risk-factor analysis of medical litigation judgments related to fall injuries in Korea.

    Science.gov (United States)

    Kim, Insook; Won, Seonae; Lee, Mijin; Lee, Won

    2018-01-01

    The aim of this study was to find out the risk factors through analysis of seven medical malpractice judgments related to fall injuries. The risk factors were analysed by using the framework that approaches falls from a systems perspective and comprised people, organisational or environmental factors, with each factor being comprised of subfactors. The risk factors found in each of the seven judgments were aggregated into one framework. The risk factors related to patients (i.e. the people factor) were age, pain, related disease, activities and functional status, urination state, cognitive function impairment, past history of fall, blood transfusion, sleep endoscopy state and uncooperative attitude. The risk factors related to the medical staff and caregivers (i.e. people factor) were observation negligence, no fall prevention activities and negligence in managing high-risk group for fall. Organisational risk factors were a lack of workforce, a lack of training, neglecting the management of the high-risk group, neglecting the management of caregivers and the absence of a fall prevention procedure. Regarding the environment, the risk factors were found to be the emergency room, chairs without a backrest and the examination table. Identifying risk factors is essential for preventing fall accidents, since falls are preventable patient-safety incidents. Falls do not happen as a result of a single risk factor. Therefore, a systems approach is effective to identify risk factors, especially organisational and environmental factors.

  11. Effects of growth-promoting factors on proliferation of mouse ...

    African Journals Online (AJOL)

    AJL

    2012-02-16

    SSCs) in vitro are critical to our understanding of male infertility, genetic resources and endangered species conservation. To investigate the effects of growth-promoting factors, epidermal growth factor (EGF), insulin-like growth.

  12. Regression analysis of the economic factors of the gross domestic ...

    African Journals Online (AJOL)

    Regression analysis of the economic factors of the gross domestic product in the Philippines. ... GDP is considered as the dependent variable while there are seven independent variables namely Capital Formation, Total Trade, Interest Rate, Inflation Rate, Unemployment Rate, make use of the quarterly time series data of ...

  13. Liquidity indicator for the Croatian economy – Factor analysis approach

    Directory of Open Access Journals (Sweden)

    Mirjana Čižmešija

    2014-12-01

    Full Text Available Croatian business surveys (BS are conducted in the manufacturing industry, retail trade and construction sector. In all of these sectors, manager´s assessments of liquidity are measured. The aim of the paper was to form a new composite liquidity indicator by including business survey liquidity measures from all three covered economic sectors in the Croatian economy mentioned above. In calculating the leading indicator, a factor analysis approach was used. However, this kind of indicator does not exist in a Croatia or in any other European economy. Furthermore, the issue of Croatian companies´ illiquidity is highly neglected in the literature. The empirical analysis consists of two parts. In the first part the new liquidity indicator was formed using factor analysis. One factor (representing the new liquidity indicator; LI was extracted out of the three liquidity variables in three economic sectors. This factor represents the new liquidity indicator. In the second part, econometric models were applied in order to investigate the forecasting properties of the new business survey liquidity indicator, when predicting the direction of changes in Croatian industrial production. The quarterly data used in the research covered the period from January 2000 to April 2013. Based on econometric analysis, it can be concluded that the LI is a leading indicator of Croatia’s industrial production with better forecasting properties then the standard liquidity indicators (formed in a manufacturing industry.

  14. 48 CFR 2115.404-71 - Profit analysis factors.

    Science.gov (United States)

    2010-10-01

    ..., FEDERAL EMPLOYEES GROUP LIFE INSURANCE FEDERAL ACQUISITION REGULATION CONTRACTING METHODS AND CONTRACT TYPES CONTRACTING BY NEGOTIATION Contract Pricing 2115.404-71 Profit analysis factors. (a) The OPM... the Contractor's risk annually in relation to the amount in the Employees' Life Insurance Fund and...

  15. Salivary SPECT and factor analysis in Sjoegren's syndrome

    International Nuclear Information System (INIS)

    Nakamura, T.; Oshiumi, Y.; Yonetsu, K.; Muranaka, T.; Sakai, K.; Kanda, S.; National Fukuoka Central Hospital

    1991-01-01

    Salivary SPECT and factor analysis in Sjoegren's syndrome were performed in 17 patients and 6 volunteers as controls. The ability of SPECT to detect small differences in the level of uptake can be used to separate glands from background even when uptake is reduced as in the patients with Sjoegren's syndrome. In control and probable Sjoegren's syndrome groups the uptake ratio of the submandibular gland to parotid gland on salivary SPECT (S/P ratio) was less than 1.0. However, in the definite Sjoergren's syndrome group, the ratio was more than 1.0. Moreover, the ratio in all patients with sialectasia, which is characteristic of Sjoegren's syndrome, was more than 1.0. Salivary factor analysis of normal parotid glands showed slowly increasing patterns of uptake and normal submandibular glands had rapidly increasing patterns of uptake. However, in the definite Sjoegren's syndrome group, the factor analysis patterns were altered, with slowly increasing patterns dominating both in the parotid and submandibular glands. These results suggest that the S/P ratio in salivary SPECT and salivary factor analysis provide additional radiologic criteria in diagnosing Sjoegren's syndrome. (orig.)

  16. Statistical analysis of the organizational factors influence on the ...

    African Journals Online (AJOL)

    At the same time the research of working hours by means of photos of the working day, a moment observations method and the made time observations is important. Correlation dependence of workers' labor productivity on factors of the work organization is revealed. The analysis of the indicators directed to organizational ...

  17. Genomewide analysis of TCP transcription factor gene family in ...

    Indian Academy of Sciences (India)

    Home; Journals; Journal of Genetics; Volume 93; Issue 3. Genomewide ... Teosinte branched1/cycloidea/proliferating cell factor1 (TCP) proteins are a large family of transcriptional regulators in angiosperms. They are ... To the best of our knowledge, this is the first study of a genomewide analysis of apple TCP gene family.

  18. 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…

  19. A Q Factor Analysis of College Undergraduate Students' Study Behaviours

    Science.gov (United States)

    Yang, Yang; Bliss, Leonard B.

    2014-01-01

    This study attempted to better understand the study behaviours of undergraduate students by categorizing students into distinctive typologies based on their self-reported study behaviours through an exploratory approach--Q factor analysis. A sample of 152 undergraduate students completed a survey instrument, the Study Behavior Inventory. The Q…

  20. Surface water quality assessment using factor analysis | Boyacioglu ...

    African Journals Online (AJOL)

    In this study, the factor analysis technique is applied to surface water quality data sets obtained from the Buyuk Menderes River Basin, Turkey, during two different hydrological periods. Results show that the indices which changed the quality of water in two seasons and locations differed. During low-flow conditions, water ...

  1. Evidence Regarding the Internal Structure: Confirmatory Factor Analysis

    Science.gov (United States)

    Lewis, Todd F.

    2017-01-01

    American Educational Research Association (AERA) standards stipulate that researchers show evidence of the internal structure of instruments. Confirmatory factor analysis (CFA) is one structural equation modeling procedure designed to assess construct validity of assessments that has broad applicability for counselors interested in instrument…

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

    African Journals Online (AJOL)

    This study analysed the socio-economic factors influencing the adoption of rice varieties with high yielding and weed suppressing abilities in Kano River Irrigation Project (KRIP) Multistage random sampling technique was used to select 135 rice farmers for the study. Descriptive statistics, logit regression analysis and likert ...

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

    Directory of Open Access Journals (Sweden)

    Xi Yu

    2014-01-01

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

  4. Principal component analysis of normalized full spectrum mass spectrometry data in multiMS-toolbox: An effective tool to identify important factors for classification of different metabolic patterns and bacterial strains.

    Science.gov (United States)

    Cejnar, Pavel; Kuckova, Stepanka; Prochazka, Ales; Karamonova, Ludmila; Svobodova, Barbora

    2018-03-09

    Explorative statistical analysis of mass spectrometry data is still a time-consuming step. We analyzed critical factors for application of principal component analysis in mass spectrometry and focused on two whole spectrum based normalization techniques and their application in analysis of registered peak data and, in comparison, in full spectrum data analysis. We used this technique to identify different metabolic patterns in the bacterial culture of Cronobacter sakazakii, an important foodborne pathogen. Two software utilities, the ms-alone, a python based utility for mass spectrometry data preprocessing and peak extraction, and the multiMS-toolbox, an R software tool for advanced peak registration and detailed explorative statistical analysis were implemented. The bacterial culture of Cronobacter sakazakii was cultivated on Enterobacter sakazakii Isolation Agar, Blood Agar Base and Tryptone Soya Agar for 24 h and 48 h and applied by the smear method on an Autoflex speed MALDI-TOF mass spectrometer. For three tested cultivation media only two different metabolic patterns of Cronobacter sakazakii were identified using principal component analysis applied on data normalized by two different normalization techniques. Results from matched peak data and subsequent detailed full spectrum analysis identified only two different metabolic patterns - a cultivation on Enterobacter sakazakii Isolation Agar showed significant differences than the cultivation on other two tested media. The metabolic patterns for all tested cultivation media also proved the dependence on cultivation time. Both whole spectrum based normalization techniques together with the full spectrum principal component analysis allow identification of important discriminative factors in experiments with several variable condition factors avoiding any problems with improper identification of peaks or emphasis on bellow threshold peak data. The amounts of processed data remain still manageable. Both

  5. ANALYSIS OF INFORMATION FACTORS FOR DESIGNING INTELLECTUAL MECHATRONIC SYSTEM

    Directory of Open Access Journals (Sweden)

    A. V. Gulai

    2016-01-01

    Full Text Available The paper proposes to evaluate achievement of main results in operation of intellectual mechatronic systems with digital control by the obtained information effect. In this respect, common information requirements with intellectual components are considered as a basic information factor which influences on the process of mechatronic system designing. Therefore, some parameters have been accentuated and they can help to provide rather complete description of the processes used for obtaining and using systematic information within the volume of the intellectual mechatronic system. Conformity degree of control vector parameters synthesized by the system and identification results of its current states have been selected as an information criterion of the control efficiency. A set of expected probability values for location of each parameter of an control object and a mechatronic system within the required tolerances has been used for formation of possible states. The paper shows that when a complex information description of the system is used then it is expedient to use an expert assessment of selection probability for allowable control vectors which ensure a system transfer to favorable states. This approach has made it possible to pinpoint main information and technical specifications of the intellectual mechatronic system: structural construction (informational and technical compatibility and information matching of its components; control object (uncertainty of its state and information vector, information capacity of the mechatronic system; control actions (their hierarchy and entropic balance of control process, managerial resource of mechatronic system; functioning result (informational effect and control efficiency criterion, probabilistic selection of system states. In accordance with the fulfilled analysis it is possible to note the most effective directions for practical use of the proposed informational approach for creation of the

  6. 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.

  7. A holistic approach combining factor analysis, positive matrix factorization, and chemical mass balance applied to receptor modeling.

    Science.gov (United States)

    Selvaraju, N; Pushpavanam, S; Anu, N

    2013-12-01

    Rapid urbanization and population growth resulted in severe deterioration of air quality in most of the major cities in India. Therefore, it is essential to ascertain the contribution of various sources of air pollution to enable us to determine effective control policies. The present work focuses on the holistic approach of combining factor analysis (FA), positive matrix factorization (PMF), and chemical mass balance (CMB) for receptor modeling in order to identify the sources and their contributions in air quality studies. Insight from the emission inventory was used to remove subjectivity in source identification. Each approach has its own limitations. Factor analysis can identify qualitatively a minimal set of important factors which can account for the variations in the measured data. This step uses information from emission inventory to qualitatively match source profiles with factor loadings. This signifies the identification of dominant sources through factors. PMF gives source profiles and source contributions from the entire receptor data matrix. The data from FA is applied for rank reduction in PMF. Whenever multiple solutions exist, emission inventory identifies source profiles uniquely, so that they have a physical relevance. CMB identifies the source contributions obtained from FA and PMF. The novel approach proposed here overcomes the limitations of the individual methods in a synergistic way. The adopted methodology is found valid for a synthetic data and also the data of field study.

  8. Mixture Factor Analysis for Approximating a Nonnormally Distributed Continuous Latent Factor with Continuous and Dichotomous Observed Variables

    Science.gov (United States)

    Wall, Melanie M.; Guo, Jia; Amemiya, Yasuo

    2012-01-01

    Mixture factor analysis is examined as a means of flexibly estimating nonnormally distributed continuous latent factors in the presence of both continuous and dichotomous observed variables. A simulation study compares mixture factor analysis with normal maximum likelihood (ML) latent factor modeling. Different results emerge for continuous versus…

  9. Analysis of Recurrence Factor of Postoperative Papillary Thyroid Cancer

    Directory of Open Access Journals (Sweden)

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

    2014-02-01

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

  10. A configurational analysis of success factors in crowdfunding video campaigns

    DEFF Research Database (Denmark)

    Lomberg, Carina; Li-Ying, Jason; Alkærsig, Lars

    Recent discussions on success factors on crowdfunding campaigns highlight a plentitude of diverse factors that stem from different, partly contradicting theories. We focus on campaign videos and assume more than one way of creating a successful crowdfunding video. We generate data of 1000 randoml...... (equifinality) and that conditions leading to success are conceptually different from failure (causal asymmetry).......Recent discussions on success factors on crowdfunding campaigns highlight a plentitude of diverse factors that stem from different, partly contradicting theories. We focus on campaign videos and assume more than one way of creating a successful crowdfunding video. We generate data of 1000 randomly...... chosen Kickstarter projects from the technology and design domain, and analyze those 715 campaigns that contain a video applying a fuzzy-set configuration analysis. Our results suggest that there are indeed several configurations of elements in videos that are correlated with different levels of success...

  11. 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.

  12. Analysis and Measurement of Buildability Factors Affecting Edge Formwork

    Directory of Open Access Journals (Sweden)

    A. M. Jarkas

    2010-01-01

    Full Text Available Labour productivity is affected by several factors, but buildability is among the most important. Nevertheless, a thoroughexamination of the literature revealed a dearth of research into the influence of buildability factors on labour productivityof in situ reinforced concrete construction, especially at the formwork trade level. Although edge formwork is an importantlabour intensive activity, most often, its labour cost is either crudely estimated or lumped within the formwork cost of otheractivities. Therefore, the objective of this research is to investigate and quantify the effects and relative influence of the followingbuildability factors on its labour productivity: (a depth of slab being edge-formed; (b slab geometric factor; and (ctype of formwork material used. To achieve this objective, a sufficiently large volume of productivity data was collected andanalyzed using the multiple categorical-regression method. As a result, the effects and relative influence of the buildabilityfactors investigated are determined. The findings show significant effects of these factors on edge formwork labour productivity,which can be used to provide designers feedback on how well their designs consider the requirements of buildabilityprinciples, and the consequences of their decisions on labour efficiency. On the other hand, the depicted patterns of resultsmay provide guidance to construction managers for effective activity planning and efficient labour utilization.

  13. Risk factors and effective management of preeclampsia

    Directory of Open Access Journals (Sweden)

    English FA

    2015-03-01

    Full Text Available Fred A English,1 Louise C Kenny,1 Fergus P McCarthy1,2 1Irish Centre for Fetal and Neonatal Translational Research (INFANT, Department of Obstetrics and Gynaecology, University College Cork, Cork, Ireland; 2Women’s Health Academic Centre, King's Health Partners, St Thomas' Hospital, London, UK Abstract: Preeclampsia, a hypertensive disorder of pregnancy is estimated to complicate 2%–8% of pregnancies and remains a principal cause of maternal and fetal morbidity and mortality. Preeclampsia may present at any gestation but is more commonly encountered in the third trimester. Multiple risk factors have been documented, including: family history, nulliparity, egg donation, diabetes, and obesity. Significant progress has been made in developing tests to predict risk of preeclampsia in pregnancy, but these remain confined to clinical trial settings and center around measuring angiogenic profiles, including placental growth factor or newer tests involving metabolomics. Less progress has been made in developing new treatments and therapeutic targets, and aspirin remains one of the few agents shown to consistently reduce the risk of developing preeclampsia. This review serves to discuss recent advances in risk factor identification, prediction techniques, and management of preeclampsia in antenatal, intrapartum, and postnatal patients. Keywords: pregnancy, treatment, risk reduction, prediction

  14. EFFECTS OF PROJECT-RELATED FACTORS ON ...

    African Journals Online (AJOL)

    Osondu

    Environmental Sanitation, 1(2), 163-170. Odesola, I.A. (2012), Construction Labour. Productivity of Masonry Operations in South-. South of Nigeria. Unpublished Ph.D. Thesis,. Department of Building, University of Uyo,. Nigeria. Pallant, J. (2007), SPSS Survival Manual - A Step by Step Guide to Data Analysis Using SPSS ...

  15. Bayesian Sensitivity Analysis of a Nonlinear Dynamic Factor Analysis Model with Nonparametric Prior and Possible Nonignorable Missingness.

    Science.gov (United States)

    Tang, Niansheng; Chow, Sy-Miin; Ibrahim, Joseph G; Zhu, Hongtu

    2017-12-01

    Many psychological concepts are unobserved and usually represented as latent factors apprehended through multiple observed indicators. When multiple-subject multivariate time series data are available, dynamic factor analysis models with random effects offer one way of modeling patterns of within- and between-person variations by combining factor analysis and time series analysis at the factor level. Using the Dirichlet process (DP) as a nonparametric prior for individual-specific time series parameters further allows the distributional forms of these parameters to deviate from commonly imposed (e.g., normal or other symmetric) functional forms, arising as a result of these parameters' restricted ranges. Given the complexity of such models, a thorough sensitivity analysis is critical but computationally prohibitive. We propose a Bayesian local influence method that allows for simultaneous sensitivity analysis of multiple modeling components within a single fitting of the model of choice. Five illustrations and an empirical example are provided to demonstrate the utility of the proposed approach in facilitating the detection of outlying cases and common sources of misspecification in dynamic factor analysis models, as well as identification of modeling components that are sensitive to changes in the DP prior specification.

  16. MultiDCoX: Multi-factor analysis of differential co-expression.

    Science.gov (United States)

    Liany, Herty; Rajapakse, Jagath C; Karuturi, R Krishna Murthy

    2017-12-28

    Differential co-expression (DCX) signifies change in degree of co-expression of a set of genes among different biological conditions. It has been used to identify differential co-expression networks or interactomes. Many algorithms have been developed for single-factor differential co-expression analysis and applied in a variety of studies. However, in many studies, the samples are characterized by multiple factors such as genetic markers, clinical variables and treatments. No algorithm or methodology is available for multi-factor analysis of differential co-expression. We developed a novel formulation and a computationally efficient greedy search algorithm called MultiDCoX to perform multi-factor differential co-expression analysis. Simulated data analysis demonstrates that the algorithm can effectively elicit differentially co-expressed (DCX) gene sets and quantify the influence of each factor on co-expression. MultiDCoX analysis of a breast cancer dataset identified interesting biologically meaningful differentially co-expressed (DCX) gene sets along with genetic and clinical factors that influenced the respective differential co-expression. MultiDCoX is a space and time efficient procedure to identify differentially co-expressed gene sets and successfully identify influence of individual factors on differential co-expression.

  17. Mathematical economics methods in assessing the effects of institutional factors on foreign trade

    Science.gov (United States)

    Kazantseva, M. A.; Nepp, A. N.

    2016-12-01

    Foreign trade activity (FT) is an essential driver of economic development; therefore, factors affecting its efficiency should be analysed. Along with the conventional economic factors affecting FT development, a focus should be given to institutional factors, whose role also cannot be neglected. Recent studies show institutional factors to produce both qualitative and quantitative effects on a country's economic development, with various criteria and assessment approaches having been developed for their estimation. This paper classifies mathematical methods used to assess the effect of institutional factors on FT efficiency. An analysis of conventional mathematical models describing the relationship between institutional factors and FT indicators is provided. Mathematical methods are currently the major instrument for the analysis of FT parameters and their dependence on various external factors.

  18. FACTORS LIMITING THE EFFECTIVENESS OF INTESTINAL PARASITOSES’ PHARMACOTHERAPY

    Directory of Open Access Journals (Sweden)

    Kalina Stoyanova

    2017-10-01

    Full Text Available The effective etiological antiparasitic treatment fulfils two major goals - to cure the infected patient and to terminate its role as an epidemiologically relevant source of infection. The purpose of this study is to evaluate the effectiveness of the pharmacotherapy against the most common intestinal helminthic and protozoal infections diagnosed in Varna region. Material and Methods: 879 patients with laboratory-confirmed intestinal parasitoses were treated etiologically with the established anthelminthic and antiprotozoal agents. Mandatory and active post-treatment laboratory monitoring served as the basis for the assessment of the therapy effectiveness. Results: Enterobiasis has the highest prevalence of the intestinal parasitic infections with estimated treatment success of 94,7% at the end of the mandatory period and nearly 100% at the end of our monitoring. The significantly greater rate of relapses was registered among the patients with the two most common protozoal invasions – Giardiasis (9,5% and Blastocystosis (6,7 %. Our analysis established that the main factors limiting the effective antiparasitic pharmacotherapy are extraneous, i.e. independent of the pharmacological properties of the agent or parasite’s biology. The most prominent reasons for therapy failure are poor or missing compliance to the therapy regimen, inadequate form or dosage of the medication, unrecognized source of (reinvasion, etc. In conclusion, the collaboration between the general practitioners, clinical parasitologists and respectively the patients themselves is crucial for achieving an effective therapy and the resultant control of the intestinal parasitoses.

  19. A structural dynamic factor model for the effects of monetary policy estimated by the EM algorithm

    DEFF Research Database (Denmark)

    Bork, Lasse

    This paper applies the maximum likelihood based EM algorithm to a large-dimensional factor analysis of US monetary policy. Specifically, economy-wide effects of shocks to the US federal funds rate are estimated in a structural dynamic factor model in which 100+ US macroeconomic and financial time...... as opposed to the orthogonal factors resulting from the popular principal component approach to structural factor models. Correlated factors are economically more sensible and important for a richer monetary policy transmission mechanism. Secondly, I consider both static factor loadings as well as dynamic...

  20. Effective factors on violence against women in Lorestan county towns

    Directory of Open Access Journals (Sweden)

    firoze ghazanfari

    2011-03-01

    Full Text Available Violence against women is a global phenomenon which creates negative effects on the health and health psychology of families and society. for prevent and reduce this issue, interference and therapy strategy should be made through proper information with respect to the type of violence, scale and other effective parameters. Materials and Methods: To achieve the objectives of the research, the participants were selected from civilian women of the Lorestan county towns and a correlation method was used. According to Kookrun Formula, a group of 383 citizenships of the Lorestanian women were chosen as statistical samples. The data were collected through the following manner: 1. Questionnaire naive of demographic . 2. Questionnaire of violence (H. Yahya, 1999. 3. An own made questionnaire about family relationship. Analysis of the data involved both destructive and inferential statistics including means, standard deviations, Pearson's correlation coefficients and regression analysis. Results: The data indicated a substantial popularity of psychological and physical aggression with respect to other types of aggressive behaviors. Also, the results revealed a significant relation between domestic violence and other factors such as age, literacy, the number of children and partner. But there was not such a relation between domestic violence and the type of factors that may occurs in marriage and partner income. Separated families and the pattern of aggression in husband family, that usually rises during the childhood, was shown to have important effects on the created violence. Conclusion: The findings of the present research indicated that the lowest level of domestic violence is occurred in an interval where the relationships between the members of the family are based on cooperation.

  1. Factor analysis as a tool in groundwater quality management: two southern African case studies

    Science.gov (United States)

    Love, David; Hallbauer, Dieter; Amos, Amos; Hranova, Roumiana

    Although developed as a tool in the social sciences, R-mode factor analysis, a multivariate statistical tool, has proven highly effective in studies of groundwater quality. The technique examines the relationships between variables (such as chemical parameters in groundwater), which are shown by a number of cases (such as sampling points). In this study, two examples are presented. The first is of groundwater around a southern African iron ore mine and the second is of groundwater in the vicinity of a southern African municipal sewage disposal works. Groundwater samples were collected, their chemistry analysed and factor analysis was performed on each of the chemical datasets. In the first case study, factor analysis successfully separated signatures due to uncontaminated groundwater (calcium, magnesium and bicarbonate), agricultural activities (potassium and ammonium) and mining activities (sodium, chloride and sulphate). In the second case study, factor analysis did identify a chemical signature (nitrate and phosphate; minor iron) related to the sewage works-but since this signature involved parameters that were within regulated limits, the finding was of limited value for management purposes. Thus although R-mode factor analysis can be a valuable tool studies of groundwater quality, this is not always the case. Multivariate statistical techniques like factor analysis should thus be used as supplementary to, but not in replacement of, conventional groundwater quality data treatment methods.

  2. Qualitative analysis of factors leading to clinical incidents.

    Science.gov (United States)

    Smith, Matthew D; Birch, Julian D; Renshaw, Mark; Ottewill, Melanie

    2013-01-01

    The purpose of this paper is to evaluate the common themes leading or contributing to clinical incidents in a UK teaching hospital. A root-cause analysis was conducted on patient safety incidents. Commonly occurring root causes and contributing factors were collected and correlated with incident timing and severity. In total, 65 root-cause analyses were reviewed, highlighting 202 factors implicated in the clinical incidents and 69 categories were identified. The 14 most commonly occurring causes (encountered in four incidents or more) were examined as a key-root or contributory cause. Incident timing was also analysed; common factors were encountered more frequently during out-hours--occurring as contributory rather than a key-root cause. In total, 14 commonly occurring factors were identified to direct interventions that could prevent many clinical incidents. From these, an "Organisational Safety Checklist" was developed to involve departmental level clinicians to monitor practice. This study demonstrates that comprehensively investigating incidents highlights common factors that can be addressed at a local level. Resilience against clinical incidents is low during out-of-hours periods, where factors such as lower staffing levels and poor service provision allows problems to escalate and become clinical incidents, which adds to the literature regarding out-of-hours care provision and should prove useful to those organising hospital services at departmental and management levels.

  3. Profile and Risk Factor Analysis of Unintentional Injuries in Children.

    Science.gov (United States)

    Bhamkar, Rahul; Seth, Bageshree; Setia, Maninder Singh

    2016-10-01

    To study the profile and various risk factors associated with unintentional injuries in children. The study is a cross sectional analysis of data collected from 351 children presenting with unintentional injury to a tertiary care hospital in Navi Mumbai, India. Data were collected about variables based on Haddon Phase Factor Matrix - host, environment and agent factors. Proportions for categorical variables across various groups were compared using Chi square test or Fisher's exact test. Logistic regression model was used to evaluate the factors. Falls (36 %) were the most common injuries followed by bites (23 %). Majority of children were school going children (38 %) followed by preschool children (29 %). Forty-seven percent were from lower socioeconomic class. Commonest place of injury was home (48 %) and the commonest time was evening (49 %). Though there was male predominance in injuries, the difference across gender did not vary significantly (p = 0.15). Poisonings were significantly more common in infants and toddlers and in rural population (p Injuries from rural area and lower socioeconomic class were more serious, requiring hospitalization; they were also more likely to present late to the hospital (p injuries varies widely as per the variations in agent, host and environmental factors. Socio-environmental, economic conditions and infancy-toddler age groups are predisposing risk factors for bites and poisoning. Although rural areas and lower socioeconomic class population are more vulnerable to serious types of injuries, they still lack essential basic medical care.

  4. Exploratory Factor Analysis With Small Samples and Missing Data.

    Science.gov (United States)

    McNeish, Daniel

    2017-01-01

    Exploratory factor analysis (EFA) is an extremely popular method for determining the underlying factor structure for a set of variables. Due to its exploratory nature, EFA is notorious for being conducted with small sample sizes, and recent reviews of psychological research have reported that between 40% and 60% of applied studies have 200 or fewer observations. Recent methodological studies have addressed small size requirements for EFA models; however, these models have only considered complete data, which are the exception rather than the rule in psychology. Furthermore, the extant literature on missing data techniques with small samples is scant, and nearly all existing studies focus on topics that are not of primary interest to EFA models. Therefore, this article presents a simulation to assess the performance of various missing data techniques for EFA models with both small samples and missing data. Results show that deletion methods do not extract the proper number of factors and estimate the factor loadings with severe bias, even when data are missing completely at random. Predictive mean matching is the best method overall when considering extracting the correct number of factors and estimating factor loadings without bias, although 2-stage estimation was a close second.

  5. Effects of growth-promoting factors on proliferation of mouse ...

    African Journals Online (AJOL)

    SSCs) in vitro are critical to our understanding of male infertility, genetic resources and endangered species conservation. To investigate the effects of growth-promoting factors, epidermal growth factor (EGF), insulin-like growth factor-1 (IGF-1) and ...

  6. Physiological factor analysis (FADS) in the diagnosis of renal obstruction

    International Nuclear Information System (INIS)

    MacLeod, M.A.; Houston, A.S.

    1986-01-01

    Factor analysis has been used as an aid to the interpretation of dynamic scintigrams since the technique was described by Bazin in 1979. We have used a modified version of Barber's (1980) algorithm to analyse dynamic renal data (MacLeod and Houston 1985) and this paper describes the use of the technique to study 50 patients with clinically diagnosed renal obstruction in an effort to differentiate between an obstructive uropathy and an obstructive nephropathy. In this group 73 kidneys had a tentative diagnosis of obstruction made. Following a full clinical radiological and biochemical examination, 27 had a firm clinical diagnosis of an obstructive nephropathy made (13 confirmed at operation), 25 a diagnosis of obstructive uropathy and 21 were judged normal. Following standard 99 sup(m)Tc-DTPA renography, performed on all 50 patients, data were analysed by deconvolution analysis, including parenchymal transit time measurements and by physiological factor analysis (FADS). The results showed that, of the 27 kidneys with a clinical diagnosis of an obstructive nephropathy, 19 (70%) had a PTT of > 300 seconds while 23 (85%) had a FAD's rating of 4 or 5. The corresponding false positive rates (ie, obstructive uropathy diagnosed as obstructive nephropathy) were 28% (PTT) and 12% (FADS). An ROC analysis of the PTT and FADS results in the 52 obstructed kidneys shows FADS analysis to be superior to PTTs in differentiating between an obstructive nephropathy and on obstructive uropathy. (Author)

  7. 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.

  8. Risk factor analysis of equine strongyle resistance to anthelmintics.

    Science.gov (United States)

    Sallé, G; Cortet, J; Bois, I; Dubès, C; Guyot-Sionest, Q; Larrieu, C; Landrin, V; Majorel, G; Wittreck, S; Woringer, E; Couroucé, A; Guillot, J; Jacquiet, P; Guégnard, F; Blanchard, A; Leblond, A

    2017-12-01

    Intestinal strongyles are the most problematic endoparasites of equids as a result of their wide distribution and the spread of resistant isolates throughout the world. While abundant literature can be found on the extent of anthelmintic resistance across continents, empirical knowledge about associated risk factors is missing. This study brought together results from anthelmintic efficacy testing and risk factor analysis to provide evidence-based guidelines in the field. It involved 688 horses from 39 French horse farms and riding schools to both estimate Faecal Egg Count Reduction (FECR) after anthelmintic treatment and to interview farm and riding school managers about their practices. Risk factors associated with reduced anthelmintic efficacy in equine strongyles were estimated across drugs using a marginal modelling approach. Results demonstrated ivermectin efficacy (96.3% ± 14.5% FECR), the inefficacy of fenbendazole (42.8% ± 33.4% FECR) and an intermediate profile for pyrantel (90.3% ± 19.6% FECR). Risk factor analysis provided support to advocate for FEC-based treatment regimens combined with individual anthelmintic dosage and the enforcement of tighter biosecurity around horse introduction. The combination of these measures resulted in a decreased risk of drug resistance (relative risk of 0.57, p = 0.02). Premises falling under this typology also relied more on their veterinarians suggesting practitionners play an important role in the sustainability of anthelmintic usage. Similarly, drug resistance risk was halved in premises with frequent pasture rotation and with stocking rate below five horses/ha (relative risk of 0.53, p risk factor analysis for anthelmintic resistance in equids. Our findings should guide the implementation of more sustained strongyle management in the field. Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.

  9. Risk factor analysis of equine strongyle resistance to anthelmintics

    Directory of Open Access Journals (Sweden)

    G. Sallé

    2017-12-01

    Full Text Available Intestinal strongyles are the most problematic endoparasites of equids as a result of their wide distribution and the spread of resistant isolates throughout the world. While abundant literature can be found on the extent of anthelmintic resistance across continents, empirical knowledge about associated risk factors is missing. This study brought together results from anthelmintic efficacy testing and risk factor analysis to provide evidence-based guidelines in the field. It involved 688 horses from 39 French horse farms and riding schools to both estimate Faecal Egg Count Reduction (FECR after anthelmintic treatment and to interview farm and riding school managers about their practices. Risk factors associated with reduced anthelmintic efficacy in equine strongyles were estimated across drugs using a marginal modelling approach. Results demonstrated ivermectin efficacy (96.3% ± 14.5% FECR, the inefficacy of fenbendazole (42.8% ± 33.4% FECR and an intermediate profile for pyrantel (90.3% ± 19.6% FECR. Risk factor analysis provided support to advocate for FEC-based treatment regimens combined with individual anthelmintic dosage and the enforcement of tighter biosecurity around horse introduction. The combination of these measures resulted in a decreased risk of drug resistance (relative risk of 0.57, p = 0.02. Premises falling under this typology also relied more on their veterinarians suggesting practitionners play an important role in the sustainability of anthelmintic usage. Similarly, drug resistance risk was halved in premises with frequent pasture rotation and with stocking rate below five horses/ha (relative risk of 0.53, p < 0.01. This is the first empirical risk factor analysis for anthelmintic resistance in equids. Our findings should guide the implementation of more sustained strongyle management in the field. Keywords: Horse, Nematode, Anthelmintic resistance, Strongyle, Cyathostomin

  10. Effective Factors in Environmental Health Status of Grocery Stores

    Directory of Open Access Journals (Sweden)

    Mehdi Asadi

    2012-08-01

    Full Text Available Aims of the Study: This study was carried out to determine the effective factors in environmental health status of grocery stores in the city of Qom (located in the center of Iran. Materials & Methods: In this cross-sectional study, 283 grocery stores from 3 different regions were selected randomly using stratified sampling. Data were gathered through observation, interview, and questionnaire. The questionnaire consisted of two sections: section 1 dealt with some shop managers’ features including the age, educational level, job satisfaction, passing “food and occupational hygiene training courses”, store ownership, duration of employment, and features of stores including their location (Region and environmental health condition. And section 2 dealt with the important aspects of regulations of Article 13. The data analyzed using statistical procedures such as Spearman Rank Correlation and Multivariate Regression Analysis. P-values less than 0.05 were considered as statistically significant. Results: Among the investigated factors, the manager’s educational level had a greater impact on the environmental health conditions of grocery stores. The ownership status of grocery stores, Job satisfaction and passing “food and occupational hygiene training courses” were next in the ranking, respectively (p <0.001 for all measures, except for shop ownership, for which p-value was <0.02. Conclusions: Planning and implementation of effective operational and strategic programs addressing the above mentioned issues seems to be necessary. Such programs will improve the health status of the stores over time.

  11. Sea level rise and the geoid: factor analysis approach

    Directory of Open Access Journals (Sweden)

    Alexey Sadovski

    2013-08-01

    Full Text Available Sea levels are rising around the world, and this is a particular concern along most of the coasts of the United States. A 1989 EPA report shows that sea levels rose 5-6 inches more than the global average along the Mid-Atlantic and Gulf Coasts in the last century. The main reason for this is coastal land subsidence. This sea level rise is considered more as relative sea level rise than global sea level rise. Thus, instead of studying sea level rise globally, this paper describes a statistical approach by using factor analysis of regional sea level rates of change. Unlike physical models and semi-empirical models that attempt to approach how much and how fast sea levels are changing, this methodology allows for a discussion of the factor(s that statistically affects sea level rates of change, and seeks patterns to explain spatial correlations.

  12. Infrared spectra measured during polymer weathering evaluated by factor analysis

    Czech Academy of Sciences Publication Activity Database

    Šeděnková, Ivana; Trchová, Miroslava; Pilař, Jan

    2009-01-01

    Roč. 5, č. 9 (2009), s. 92 ISSN 1336-7242. [Zjazd chemikov /61./. 07.09.2009-11.09.2009, Tatranské Matliare, Vysoké Tatry] R&D Projects: GA ČR GA203/08/0686 Institutional research plan: CEZ:AV0Z40500505 Keywords : degradation * polypropylene * infrared spectroscopy * factor analysis Subject RIV: CD - Macromolecular Chemistry

  13. Method for factor analysis of GC/MS data

    Science.gov (United States)

    Van Benthem, Mark H; Kotula, Paul G; Keenan, Michael R

    2012-09-11

    The method of the present invention provides a fast, robust, and automated multivariate statistical analysis of gas chromatography/mass spectroscopy (GC/MS) data sets. The method can involve systematic elimination of undesired, saturated peak masses to yield data that follow a linear, additive model. The cleaned data can then be subjected to a combination of PCA and orthogonal factor rotation followed by refinement with MCR-ALS to yield highly interpretable results.

  14. Human Modeling For Ground Processing Human Factors Engineering Analysis

    Science.gov (United States)

    Tran, Donald; Stambolian, Damon; Henderson, Gena; Barth, Tim

    2011-01-01

    There have been many advancements and accomplishments over that last few years using human modeling for human factors engineering analysis for design of spacecraft and launch vehicles. The key methods used for this are motion capture and computer generated human models. The focus of this paper is to explain the different types of human modeling used currently and in the past at Kennedy Space Center (KSC) currently, and to explain the future plans for human modeling for future spacecraft designs.

  15. Investigation of evaluation methods for human factors education effectiveness

    International Nuclear Information System (INIS)

    Yoshimura, Seiichi; Fujimoto, Junzo; Sasou Kunihide; Hasegawa, Naoko

    2004-01-01

    Education effectiveness in accordance with investment is required in the steam of electric power regulation alleviation. Therefore, evaluation methods for human factors education effectiveness which can observe human factors culture pervading process were investigated through research activities on education effectiveness in universities and actual in house education in industry companies. As a result, the contents of evaluation were found to be the change of feeling for human factors and some improving proposals in work places when considering the purpose of human factors education. And, questionnaire is found to be suitable for the style of evaluation. In addition, the timing of evaluation is desirable for both just after education and after some period in work places. Hereafter, data will be collected using these two kinds of questionnaires in human factors education courses in CRIEPI and some education courses in utilities. Thus, education effectiveness evaluation method which is suitable for human factors will be established. (author)

  16. A Research of Pyogenic Granuloma Genesis Factor With Immunohistochemical Analysis.

    Science.gov (United States)

    Park, Si Hyun; Lee, Jun Ho; Tak, Min Sung; Lee, Hyun Ju; Choi, Hwan Jun

    2017-11-01

    Pyogenic granuloma (PG) is a type of vascular tumor for which the growth mechanism is poorly understood. Estrogen and progesterone may influence vascular malformations by increasing neovascularization in the lesions. Pregnancy tumor is a term for PG that occurs on the gingival mucosa of pregnant women in response to local irritation or injury. The etiology and pathogenesis of this phenomenon are not fully understood. Hormonal imbalance has been hypothesized to be responsible for the development of gingival hyper-reactive inflammatory responses. Moreover, it has been shown in vitro that the female sex hormone is a potential regulator of the production of several growth factors, such as vascular endothelial growth factor (VEGF), basic fibroblast growth factor, and nerve growth factor, in various cell types. Epidermal growth factor receptor (EGFR) is also involved in a signaling cascade that influences proliferation and other tumor-promoting activities, as well as the responsiveness to chemotherapy. The aim of this study was to examine the relationship between PG pathogenesis and hormone imbalance in 21 patients. All specimens were analyzed by immunohistochemical staining with hematoxylin and eosin for the following hormones: estrogen receptor, progesterone receptor, VEGF, and EGFR. The analysis of the specimens showed that estrogen receptor and EGFR were not associated with PG, while VEGF was statistically related to PG. In addition, there was no significantly difference between sex, tumor location, or pregnancy. There are few studies about correlation between the pathogenesis of PG and sex hormones or growth factors demonstrated via immunohistochemical analysis. The results of this study indicate that estrogen and progesterone do not influence the pathogenesis of PG; however, VEGF may be associated with the pathogenesis of PG.

  17. Factors effecting paint performance on wood siding

    Science.gov (United States)

    Christopher G. Hunt; R. Sam Williams; Mark Knaebe; Peter Sotos; Steven Lacher

    2009-01-01

    Several different studies are compared to assess the effectiveness of commercial water repellent preservatives (WRP’s) in the late 1990’s on vertical and horizontal siding. Besides WRP, variables included wood species, exposure location (Wisconsin or Mississippi), and solid color stain vs. primer + paint. Data on substrate checking and paint flaking are presented....

  18. Factors affecting effective performance of rural producers ...

    African Journals Online (AJOL)

    Mo

    The main ones included provision of training in agriculture and other related fields (76.7%), procurement of inputs for members (56.7%), provision of market information (46.7%) and marketing (40%) and credit. (40%). Linkages are vital for effective achievement of purposes and most RPOs (80%), had established them with ...

  19. An empirical study to determine effective factors on organizational commitment

    Directory of Open Access Journals (Sweden)

    Nase Azad

    2012-09-01

    Full Text Available Organizational commitment plays an important role on the success of business units. Many companies rely on their human resources and when some skilled employees leave an organization, there would be a chaos in some organizations especially in small business units. The proposed study of this paper gathers the necessary information from 200 employees who work for custom organization in Iran. The results of factor analysis have indicated there are four factors influencing organizational commitments. The first factor is associated with cultural factor, the second issue is related to human resource based factors while the third factor indicates the behavior based factors and finally empowering based factors are the last item. The ratio of Chi-Square/df is equal to 2.66, which is less than 3 and this validates the results. We have also used structural equation modeling and the results show that the third factor, behavior based components, is the most important factor followed by the second factor, human resource factor. In addition, the third important factor is cultural issues followed by empowering factors.

  20. A Meta-analysis of School Effectiveness Studies

    NARCIS (Netherlands)

    Scheerens, Jaap; Witziers, Bob; Steen, Rien

    2013-01-01

    A meta-analysis was carried out on the basis of 155 research studies on school effectiveness, comprising a total of 1.211 associations between school effectiveness enhancing factors and student outcome variables. The original studies were carried out between 1984 and 2005. The school effectiveness

  1. Human error analysis of commercial aviation accidents using the human factors analysis and classification system (HFACS)

    Science.gov (United States)

    2001-02-01

    The Human Factors Analysis and Classification System (HFACS) is a general human error framework : originally developed and tested within the U.S. military as a tool for investigating and analyzing the human : causes of aviation accidents. Based upon ...

  2. PRINCIPAL COMPONENT ANALYSIS OF FACTORS DETERMINING PHOSPHATE ROCK DISSOLUTION ON ACID SOILS

    Directory of Open Access Journals (Sweden)

    Yusdar Hilman

    2016-10-01

    Full Text Available Many of the agricultural soils in Indonesia are acidic and low in both total and available phosphorus which severely limits their potential for crops production. These problems can be corrected by application of chemical fertilizers. However, these fertilizers are expensive, and cheaper alternatives such as phosphate rock (PR have been considered. Several soil factors may influence the dissolution of PR in soils, including both chemical and physical properties. The study aimed to identify PR dissolution factors and evaluate their relative magnitude. The experiment was conducted in Soil Chemical Laboratory, Universiti Putra Malaysia and Indonesian Center for Agricultural Land Resources Research and Development from January to April 2002. The principal component analysis (PCA was used to characterize acid soils in an incubation system into a number of factors that may affect PR dissolution. Three major factors selected were soil texture, soil acidity, and fertilization. Using the scores of individual factors as independent variables, stepwise regression analysis was performed to derive a PR dissolution function. The factors influencing PR dissolution in order of importance were soil texture, soil acidity, then fertilization. Soil texture factors including clay content and organic C, and soil acidity factor such as P retention capacity interacted positively with P dissolution and promoted PR dissolution effectively. Soil texture factors, such as sand and silt content, soil acidity factors such as pH, and exchangeable Ca decreased PR dissolution.

  3. Factors Effecting Job Satisfaction Among Academic Staff

    Directory of Open Access Journals (Sweden)

    Nezih Dağdeviren

    2011-03-01

    Full Text Available Objective: In this paper, we aimed to investigate the job satisfaction levels of all the academic staff in Trakya University, along with their socioeconomic features.Material and Methods: We used a questionnaire including the Minnesota Satisfaction Questionnaire Short Form. Frequency tables, cross tabulations, Pearson Chi-square, Exact Chi-square, Kruskal-Wallis, Dunn’s Multiple Comparison and Chi-squared Automatic Interaction Detector (CHAID tests were used for statistical analysis.Results: The mean age of 560 participants was 33.86±7.33 years, of whom 47% (n=263 were female and 53% (n=297 male. Of the participants, the mean levels were 63.06±10.96 for general, 44.79±7.49 for intrinsic, and 18.27±4.64 for extrinsic job satisfaction. 85.4% of the academic staff (n=478 had a moderate level of satisfaction, whereas 14.6% (n=82 had a higher level. There was a significant relationship between income and job satisfaction levels. With the CHAID analysis, it was determined that job satisfaction had a relationship with age, educational status, total years of service and years of service in the current department. Conclusion: Job satisfaction can reflect the general emotional status of employees. It has a greater importance for the jobs that can affect the extraoccupational lives directly and require constant devotion. Employers should take some measures to increase job satisfaction in order to improve efficiency.

  4. [Analysis of influencing factors of snow hyperspectral polarized reflections].

    Science.gov (United States)

    Sun, Zhong-Qiu; Zhao, Yun-Sheng; Yan, Guo-Qian; Ning, Yan-Ling; Zhong, Gui-Xin

    2010-02-01

    Due to the need of snow monitoring and the impact of the global change on the snow, on the basis of the traditional research on snow, starting from the perspective of multi-angle polarized reflectance, we analyzed the influencing factors of snow from the incidence zenith angles, the detection zenith angles, the detection azimuth angles, polarized angles, the density of snow, the degree of pollution, and the background of the undersurface. It was found that these factors affected the spectral reflectance values of the snow, and the effect of some factors on the polarization hyperspectral reflectance observation is more evident than in the vertical observation. Among these influencing factors, the pollution of snow leads to an obvious change in the snow reflectance spectrum curve, while other factors have little effect on the shape of the snow reflectance spectrum curve and mainly impact the reflection ratio of the snow. Snow reflectance polarization information has not only important theoretical significance, but also wide application prospect, and provides new ideas and methods for the quantitative research on snow using the remote sensing technology.

  5. Factor-cluster analysis and enrichment study of Mangrove sediments - An example from Mengkabong, Sabah

    International Nuclear Information System (INIS)

    Praveena, S.M.; Ahmed, A.; Radojevic, M.; Mohd Harun Abdullah; Aris, A.Z.

    2007-01-01

    This paper examines the tidal effects in the sediment of Mengkabong mangrove forest, Sabah. Generally, all the studied parameters showed high value at high tide compared to low tide. Factor-cluster analyses were adopted to allow the identification of controlling factors at high and low tides. Factor analysis extracted six controlling factors at high tide and seven controlling factors at low tide. Cluster analysis extracted two district clusters at high and low tides. The study showed that factor-cluster analysis application is a useful tool to single out the controlling factors at high and low tides. this will provide a basis for describing the tidal effects in the mangrove sediment. The salinity and electrical conductivity clusters as well as component loadings at high and low tide explained the tidal process where there is high contribution of seawater to mangrove sediments that controls the sediment chemistry. The geo accumulation index (T geo ) values suggest the mangrove sediments are having background concentrations for Al, Cu, Fe and Zn and unpolluted for Pb. (author)

  6. [Factors effecting health promoting behaviors in middle-aged women].

    Science.gov (United States)

    Lee, Kun-Ja; Chang, Chun-Ja; Yoo, Jae-Hee; Yi, Yeo-Jin

    2005-06-01

    This study was to evaluate the casual relationship between the factors in the Pender's model and to explain health promoting behaviors among middle-aged women in order to facilitate nursing interventions for this population group. 116 women between 40-60 years old living in Incheon were asked to complete a questionnaire about their health. The data was collected between March and November, 2003. The data was analyzed by descriptive statistics and the correctional analysis SPSSWIN 11.5 program. The LISREL 8.12 program was used to find the best fit model which explained a causal relationship of the variables. The climacteric symptoms of middle-aged women negatively correlated with health promoting behaviors. However, marital satisfaction positively correlated with health promoting behaviors. Marital satisfaction and climacteric symptoms had an effect on health promoting behaviors. Therefore, based on this study, we plan to develop a health education program to decrease climacteric symptoms and to promote marital satisfaction for health promotion.

  7. Identifying items to assess methodological quality in physical therapy trials: a factor analysis.

    Science.gov (United States)

    Armijo-Olivo, Susan; Cummings, Greta G; Fuentes, Jorge; Saltaji, Humam; Ha, Christine; Chisholm, Annabritt; Pasichnyk, Dion; Rogers, Todd

    2014-09-01

    Numerous tools and individual items have been proposed to assess the methodological quality of randomized controlled trials (RCTs). The frequency of use of these items varies according to health area, which suggests a lack of agreement regarding their relevance to trial quality or risk of bias. The objectives of this study were: (1) to identify the underlying component structure of items and (2) to determine relevant items to evaluate the quality and risk of bias of trials in physical therapy by using an exploratory factor analysis (EFA). A methodological research design was used, and an EFA was performed. Randomized controlled trials used for this study were randomly selected from searches of the Cochrane Database of Systematic Reviews. Two reviewers used 45 items gathered from 7 different quality tools to assess the methodological quality of the RCTs. An exploratory factor analysis was conducted using the principal axis factoring (PAF) method followed by varimax rotation. Principal axis factoring identified 34 items loaded on 9 common factors: (1) selection bias; (2) performance and detection bias; (3) eligibility, intervention details, and description of outcome measures; (4) psychometric properties of the main outcome; (5) contamination and adherence to treatment; (6) attrition bias; (7) data analysis; (8) sample size; and (9) control and placebo adequacy. Because of the exploratory nature of the results, a confirmatory factor analysis is needed to validate this model. To the authors' knowledge, this is the first factor analysis to explore the underlying component items used to evaluate the methodological quality or risk of bias of RCTs in physical therapy. The items and factors represent a starting point for evaluating the methodological quality and risk of bias in physical therapy trials. Empirical evidence of the association among these items with treatment effects and a confirmatory factor analysis of these results are needed to validate these items.

  8. Highly effective cystic fibrosis clinical research teams: critical success factors.

    Science.gov (United States)

    Retsch-Bogart, George Z; Van Dalfsen, Jill M; Marshall, Bruce C; George, Cynthia; Pilewski, Joseph M; Nelson, Eugene C; Goss, Christopher H; Ramsey, Bonnie W

    2014-08-01

    Bringing new therapies to patients with rare diseases depends in part on optimizing clinical trial conduct through efficient study start-up processes and rapid enrollment. Suboptimal execution of clinical trials in academic medical centers not only results in high cost to institutions and sponsors, but also delays the availability of new therapies. Addressing the factors that contribute to poor outcomes requires novel, systematic approaches tailored to the institution and disease under study. To use clinical trial performance metrics data analysis to select high-performing cystic fibrosis (CF) clinical research teams and then identify factors contributing to their success. Mixed-methods research, including semi-structured qualitative interviews of high-performing research teams. CF research teams at nine clinical centers from the CF Foundation Therapeutics Development Network. Survey of site characteristics, direct observation of team meetings and facilities, and semi-structured interviews with clinical research team members and institutional program managers and leaders in clinical research. Critical success factors noted at all nine high-performing centers were: 1) strong leadership, 2) established and effective communication within the research team and with the clinical care team, and 3) adequate staff. Other frequent characteristics included a mature culture of research, customer service orientation in interactions with study participants, shared efficient processes, continuous process improvement activities, and a businesslike approach to clinical research. Clinical research metrics allowed identification of high-performing clinical research teams. Site visits identified several critical factors leading to highly successful teams that may help other clinical research teams improve clinical trial performance.

  9. Effects of Reproductive Factors on Bone Mineral Densitometry

    Directory of Open Access Journals (Sweden)

    Halim Yılmaz

    2012-04-01

    Full Text Available Aim: To determine the effects of reproductive factors on bone mineral density (BMD in postmenopausal women. Materials and Methods: A total of 1196 postmenopausal women with BMD (g/cm2 measurements at lumbar vertebra (LS and femur neck (FN were enrolled. Demographic, reproductive characteristics and Body Mass Index (BMI of patients were defined. In order to define BMD related factors, multiple regression analysis was employed. Results: Main results were as follows: mean age= 59.97±8.56 yrs; weight= 73.49±13.06 kg; BMI= 29.25±5.22kg/m², age of menarche= 14.00±1.64 yrs; number of deliveries 4.22±2.09; total breastfeeding duration= 60.77±38.80 months; number of breastfeeding per day= 8.23±3.91; menopausal age= 47.12±4.22 yrs; duration of menopause= 12.80±9.10 yrs; LS BMD= 0.993±0.171 gr/cm2; FN BMD 0.844±0.14 gr/cm2. There were negative correlations between LS BMD and FN BMD values and age, menopause duration, total breastfeeding duration, and number of breastfeeding per day. There were positive correlations between LS and FN BMD values, and weight and BMI scores. Additionally, there were negative correlations between LS and FN BMD values, and age of menarche and number of deliveries. In linear stage regression analysis, weight, number of breastfeeding per day, postmenopausal duration, duration of total breastfeeding and age of menarche were defined as the most significant predictors for LS BMD, whereas weight, postmenopausal duration and number of breastfeeding per day were defined as the most significant predictors for FN BMD. Conclusion: LS and FN BMD in postmenopausal women are related to reproductive factors, so reproductive factors should also be considered in the evaluation of risk factors in postmenopausal women. (Turkish Journal of Osteoporosis 2012;18:8-12

  10. Stability Analysis of Train Movement with Uncertain Factors

    Directory of Open Access Journals (Sweden)

    JingJing Ye

    2015-01-01

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

  11. Physical and biological factors determining the effective proton range

    International Nuclear Information System (INIS)

    Grün, Rebecca; Friedrich, Thomas; Krämer, Michael; Scholz, Michael; Zink, Klemens; Durante, Marco; Engenhart-Cabillic, Rita

    2013-01-01

    Purpose: Proton radiotherapy is rapidly becoming a standard treatment option for cancer. However, even though experimental data show an increase of the relative biological effectiveness (RBE) with depth, particularly at the distal end of the treatment field, a generic RBE of 1.1 is currently used in proton radiotherapy. This discrepancy might affect the effective penetration depth of the proton beam and thus the dose to the surrounding tissue and organs at risk. The purpose of this study was thus to analyze the impact of a tissue and dose dependent RBE of protons on the effective range of the proton beam in comparison to the range based on a generic RBE of 1.1.Methods: Factors influencing the biologically effective proton range were systematically analyzed by means of treatment planning studies using the Local Effect Model (LEM IV) and the treatment planning software TRiP98. Special emphasis was put on the comparison of passive and active range modulation techniques.Results: Beam energy, tissue type, and dose level significantly affected the biological extension of the treatment field at the distal edge. Up to 4 mm increased penetration depth as compared to the depth based on a constant RBE of 1.1. The extension of the biologically effective range strongly depends on the initial proton energy used for the most distal layer of the field and correlates with the width of the distal penumbra. Thus, the range extension, in general, was more pronounced for passive as compared to active range modulation systems, whereas the maximum RBE was higher for active systems.Conclusions: The analysis showed that the physical characteristics of the proton beam in terms of the width of the distal penumbra have a great impact on the RBE gradient and thus also the biologically effective penetration depth of the beam

  12. Analysis Method Research on the Importance of the Factors Influencing the Flow Safety of Heated Crude Pipelines

    Directory of Open Access Journals (Sweden)

    Zhigang Duan

    2014-08-01

    Full Text Available Analyzing the importance of the factors which influence the flow safety of the heated oil pipeline is an important part of the whole assessment process, which is of great significance on the results analysis, phenomenon explanation, and risk control after the assessment. Focusing on the problems in the influencing factors' importance analysis on crude oil pipeline flow assurance assessment, a new method to analyze the importance of the influencing factors is proposed which considers the factors' fluctuations. Based on the actual probability distribution of the influencing factors during the stable operation of the pipeline, a new measure standard of the factors' importance is defined which can measure different factors importance and realize the importance sorting of each factor. The influence of different factors on the inlet temperature is taken as an example. The importance analysis and sensitivity analysis of the influencing factors on the actual pipeline have been done, the results of which are also compared. The results show that this method can combine the pipeline actual operating conditions and the influencing factors' actual fluctuation, reflecting the effect on the results' importance in different values of each factor and different fluctuation. This method can make comprehensive analysis on the importance of the influencing factors effectively.

  13. Data quality and factor analysis of the Danish version of the Relationship Scale Questionnaire.

    Science.gov (United States)

    Andersen, Christina Maar; Pedersen, Anette Fischer; Carlsen, Anders Helles; Olesen, Frede; Vedsted, Peter

    2017-01-01

    The Relationship Scale Questionnaire (RSQ) is a widely-used measure of adult attachment, but whether the results obtained by the RSQ fit the attachment construct has only been examined to a limited extent. The objectives of this study were to investigate the psychometric properties of the Danish translation of the RSQ and to test whether the results are consistent with the hypothesized model of attachment. The study included two samples: 602 general practitioners and 611 cancer patients. The two samples were analyzed separately. Data quality was assessed by mean, median and missing values for each item, floor and ceiling effects, average inter-item correlations and Cronbach's α for each subscale. Test-retest was assessed by intra-class correlations among 76 general practitioners. A confirmatory factor analysis was conducted to establish evidence of the four proposed subscales. Due to an inadequate fit of the model, data was randomly split into two equally sized subsamples and an exploratory factor analysis was conducted for all 30 items in the first subsample comprised of 286 cancer patients and 285 general practitioners. The EFA yielded a three-factor structure which was validated through a confirmatory factor analyses in a second subsample comprised of 278 cancer patients and 289 general practitioners. The data quality of the RSQ was generally good, except low internal consistency and low to moderate test-retest reliability. The four subscales of the RSQ were not confirmed by the confirmatory factor analysis. An exploratory factor analysis suggested a three-factor solution for both general practitioners and patients, which accounted for 61.1% of the variance among general practitioners and 62.5% among patients. The new three-factor solution was verified in a confirmatory factor analyses. The proposed four-factor model of the RSQ could not be confirmed in this study. Similar challenges have been found by other studies validating the RSQ. An alternative three-factor

  14. 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.

  15. Biosphere dose conversion Factor Importance and Sensitivity Analysis

    International Nuclear Information System (INIS)

    M. Wasiolek

    2004-01-01

    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

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

    International Nuclear Information System (INIS)

    MartInez, Antonio; Sanchez-Lopez, Ma del Mar; Moreno, Ignacio

    2007-01-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2007-09-11

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

  18. Reliability Analysis of a Composite Blade Structure Using the Model Correction Factor Method

    DEFF Research Database (Denmark)

    Dimitrov, Nikolay Krasimiroy; Friis-Hansen, Peter; Berggreen, Christian

    2010-01-01

    This paper presents a reliability analysis of a composite blade profile. The so-called Model Correction Factor technique is applied as an effective alternate approach to the response surface technique. The structural reliability is determined by use of a simplified idealised analytical model which...

  19. Evaluation for Community-Based Programs: The Integration of Logic Models and Factor Analysis

    Science.gov (United States)

    Helitzer, Deborah; Hollis, Christine; de Hernandez, Brisa Urquieta; Sanders, Margaret; Roybal, Suzanne; Van Deusen, Ian

    2010-01-01

    Purpose: To discuss the utility of and value of the use of logic models for program evaluation of community-based programs and more specifically, the integration of logic models and factor analysis to develop and revise a survey as part of an effective evaluation plan. Principal results: Diverse stakeholders with varying outlooks used a logic…

  20. Human factors review for Severe Accident Sequence Analysis (SASA)

    International Nuclear Information System (INIS)

    Krois, P.A.; Haas, P.M.; Manning, J.J.; Bovell, C.R.

    1984-01-01

    The paper will discuss work being conducted during this human factors review including: (1) support of the Severe Accident Sequence Analysis (SASA) Program based on an assessment of operator actions, and (2) development of a descriptive model of operator severe accident management. Research by SASA analysts on the Browns Ferry Unit One (BF1) anticipated transient without scram (ATWS) was supported through a concurrent assessment of operator performance to demonstrate contributions to SASA analyses from human factors data and methods. A descriptive model was developed called the Function Oriented Accident Management (FOAM) model, which serves as a structure for bridging human factors, operations, and engineering expertise and which is useful for identifying needs/deficiencies in the area of accident management. The assessment of human factors issues related to ATWS required extensive coordination with SASA analysts. The analysis was consolidated primarily to six operator actions identified in the Emergency Procedure Guidelines (EPGs) as being the most critical to the accident sequence. These actions were assessed through simulator exercises, qualitative reviews, and quantitative human reliability analyses. The FOAM descriptive model assumes as a starting point that multiple operator/system failures exceed the scope of procedures and necessitates a knowledge-based emergency response by the operators. The FOAM model provides a functionally-oriented structure for assembling human factors, operations, and engineering data and expertise into operator guidance for unconventional emergency responses to mitigate severe accident progression and avoid/minimize core degradation. Operators must also respond to potential radiological release beyond plant protective barriers. Research needs in accident management and potential uses of the FOAM model are described. 11 references, 1 figure

  1. The Analysis Of The Effects Of Regulatory Policy Finance Minister Number 91 In 2015 On The Factors That Influence The Willingnes To Pay Taxes Case Study On The Personal Tax Payers Registered In STO Jember

    Directory of Open Access Journals (Sweden)

    Ridho Alamsyah

    2017-10-01

    Full Text Available This research aims to analyze the Regulatory Policy of The Republic Indonesian PMKRI Number 91 in 2015 on Factors Affecting Tax Payer Willingness. This research is a kind of quantitative research using descriptive statistical approach.. this study uses the object in the form of personal tax payers registered in the tax office primary jember by questionnaire method. Sampling technique in this research is technique of Convinience Sampling. the sample used in this study are as many as 100 Individual Tax Payers who report the Annual SPT on 22 February to 30 March 2016 manually in KPP Pratama Jember. The results showed that the Regulatory Policy of The Republic Indonesian PMKRI Number 91 in 2015 has given a significant effect on the factors that influence the willingness to pay taxes that pay taxes awareness knowledge and understanding of the tax laws as well as good perception on the effectiveness of the tax system..

  2. Determining the number of factors to retain in an exploratory factor analysis using comparison data of known factorial structure.

    Science.gov (United States)

    Ruscio, John; Roche, Brendan

    2012-06-01

    Exploratory factor analysis (EFA) is used routinely in the development and validation of assessment instruments. One of the most significant challenges when one is performing EFA is determining how many factors to retain. Parallel analysis (PA) is an effective stopping rule that compares the eigenvalues of randomly generated data with those for the actual data. PA takes into account sampling error, and at present it is widely considered the best available method. We introduce a variant of PA that goes even further by reproducing the observed correlation matrix rather than generating random data. Comparison data (CD) with known factorial structure are first generated using 1 factor, and then the number of factors is increased until the reproduction of the observed eigenvalues fails to improve significantly. We evaluated the performance of PA, CD with known factorial structure, and 7 other techniques in a simulation study spanning a wide range of challenging data conditions. In terms of accuracy and robustness across data conditions, the CD technique outperformed all other methods, including a nontrivial superiority to PA. We provide program code to implement the CD technique, which requires no more specialized knowledge or skills than performing PA. (c) 2012 APA, all rights reserved

  3. MOOC Success Factors: Proposal of an Analysis Framework

    Directory of Open Access Journals (Sweden)

    Margarida M. Marques

    2017-10-01

    Full Text Available Aim/Purpose: From an idea of lifelong-learning-for-all to a phenomenon affecting higher education, Massive Open Online Courses (MOOCs can be the next step to a truly universal education. Indeed, MOOC enrolment rates can be astoundingly high; still, their completion rates are frequently disappointingly low. Nevertheless, as courses, the participants’ enrolment and learning within the MOOCs must be considered when assessing their success. In this paper, the authors’ aim is to reflect on what makes a MOOC successful to propose an analysis framework of MOOC success factors. Background: A literature review was conducted to identify reported MOOC success factors and to propose an analysis framework. Methodology: This literature-based framework was tested against data of a specific MOOC and refined, within a qualitative interpretivist methodology. The data were collected from the ‘As alterações climáticas nos média escolares - Clima@EduMedia’ course, which was developed by the project Clima@EduMedia and was submitted to content analysis. This MOOC aimed to support science and school media teachers in the use of media to teach climate change Contribution: By proposing a MOOC success factors framework the authors are attempting to contribute to fill in a literature gap regarding what concerns criteria to consider a specific MOOC successful. Findings: This work major finding is a literature-based and empirically-refined MOOC success factors analysis framework. Recommendations for Practitioners: The proposed framework is also a set of best practices relevant to MOOC developers, particularly when targeting teachers as potential participants. Recommendation for Researchers: This work’s relevance is also based on its contribution to increasing empirical research on MOOCs. Impact on Society: By providing a proposal of a framework on factors to make a MOOC successful, the authors hope to contribute to the quality of MOOCs. Future Research: Future

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

    Science.gov (United States)

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

    2013-01-01

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

  5. Statictical Analysis Of The Conditioning Factors Of Urban Electric Consumption

    International Nuclear Information System (INIS)

    Segura D'Rouville, Juan Joel; Suárez Carreño, Franyelit María

    2017-01-01

    This research work presents the analysis of the most important factors that condition the urban residential electricity consumption. This study shows the quantitative parameters conditioning the electricity consumption. This sector of analysis has been chosen because there is disaggregated information of which are the main social and technological factors that determine its behavior, growth, with the objective of elaborating policies in the management of the electric consumption. The electrical demand considered as the sum of the powers of all the equipment that are used in each of the instants of a full day, is related to the electrical consumption, which is not but the value of the power demanded by a determined consumer Multiplied by the time in which said demand is maintained. In this report we propose the design of a probabilistic model of prediction of electricity consumption, taking into account mainly influential social and technological factors. The statistical process of this database is done through the Stat Graphics software version 4.1, for its extensive didactic in the accomplishment of calculations and associated methods. Finally, the correlation of the variables was performed to classify the determinants in a specific way and thus to determine the consumption of the dwellings. (author)

  6. Analysis of risk factors of pulmonary embolism in diabetic patients

    International Nuclear Information System (INIS)

    Xie Changhui; Ma Zhihai; Zhu Lin; Chi Lianxiang

    2012-01-01

    Objective: To study the related risk factors in diabetic patients with pulmonary embolism (PE). Methods: 58 diabetic cases underwent lower limbs 99m Tc-MAA veins imaging (and/or ultrasonography) and pulmonary perfusion imaging. The related laboratory data [fasting blood glucose (FBG), blood cholesterol, blood long chain triglycerides (LCT)] and clinic information [age, disease courses, chest symptoms (chest pain and short of breathe), lower limbs symptoms (swelling, varicose veins and diabetic foot) and acute complication (diabetic ketoacidosis and hyperosmolar non ketotic diabetic coma)] were collected simultaneously. SPSS was used for χ 2 -test and Logistic regression analysis. Results: (1) 28 patients (48.3%) were showed to be with lower limbs deep vein thrombosis (DVT) and by 99m Tc-MAA imaging, 10 cases (17.2%) with PE. The PE ratios (32.1%) of the patients with DVT was more higher than no DVT (3.3%) (χ 2 =6.53, P 2 ≥4.23, P 2 ≤2.76, P>0.05), respectively. (3) Multiplicity analysis indicated: the related risk factors for PE included chest symptoms (Score=13.316, P=0.000) and lower limbs symptoms (Score=7.780, P=0.005). No significant difference to other factors (Score≤2.494, P>0.114), respectively. Conclusion: The serious DM with chest symptoms, lower limbs symptoms and/or DVT must be controlled as early as possible by all kinds of treatment. It will decrease the PE complication. (authors)

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

    Science.gov (United States)

    Schönbrodt, Felix D; Wagenmakers, Eric-Jan

    2018-02-01

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

  8. IDENTIFICATION OF CRITICAL SSCM ACTIVITIES THROUGH CONFIRMATORY FACTOR ANALYSIS

    Directory of Open Access Journals (Sweden)

    V. Narasimham

    2013-06-01

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

  9. 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.

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

    Science.gov (United States)

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

    2012-05-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2012-05-15

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

  12. [Incidence and risk factor analysis of retinopathy of prematurity].

    Science.gov (United States)

    Yin, Hong; Li, Xiao-Xin; Li, Hui-Ling; Zhang, Wei

    2005-04-01

    Retinopathy of prematurity (ROP) is a leading cause of infant blindness. This study was designed to screen the high-risk premature infants and investigate the incidence and risk factors associated with the development of ROP. From July 1 2002 to June 30 2003, all premature infants born in Beijing Maternal and Children Healthcare Hospital with birth body weight (BBW) less than 2000 gm or gestational age (GA) less than 34 weeks were enrolled and underwent ophthalmologic examination. The perinatal variables were analyzed to evaluate their correlation with the development of ROP. In 98 premature infants, the incidence of ROP was 17.3% (17 in 98 patients). Four cases with 7 eyes (4.1%) developed threshold ROP. There was significant difference in birth body weight, gestational age, maximal oxygen tension, oxygen use for more than 5 days and sepsis between ROP and Non-ROP groups. Logistic regression analysis indicated that long time use of oxygen was a significant risk factor associated with the development of ROP. GA and BBW were protective factors of ROP. Low birth body weight, young gestational age and long time oxygen usage are the most important risk factors in the development of ROP.

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

    International Nuclear Information System (INIS)

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

    2012-01-01

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

  14. [Investigation and analysis of factors influencing rehabilitation of burn patients].

    Science.gov (United States)

    Li, Lin; Xu, Le; Wu, Bo-yu; Zheng, You-jin

    2009-12-01

    To study the factors influencing health of burn patients in rehabilitation period. One hundred and one patients hospitalized in burn department of Xiehe Hospital of Fujian Medical University from February 2008 to October 2008 were investigated by means of General Information Questionnaire, the Eysenck Personality Questionnaire, the Medical Coping Modes Questionnaire, and the Social Support Rating Scale. Their rehabilitation condition was scored according to the Abbreviated Burn-Specific Health Scale. Investigation data were processed by multiple linear regression analysis in order to find out the factors influencing rehabilitation of burn patients. Patients in this group were scored (57 +/- 16) points in physical function, rate [(actual score/possible highest score) x 100%, the same below] 71.1% (the lowest); (97 +/- 19) points in psychological function, rate 80.6%; (53 +/- 8) points in social function, rate 88.4% (the highest); (45 +/- 11) points in general health, rate 74.5%; (251 +/- 44) points in comprehensive health [standard score (314 +/- 55) points], rate 78.5% (upper middle). The factors included in the comprehensive health regression equation (F = 11.602, P resignation. They accounted for 46.6% of the variance of comprehensive health. Monthly income, size of burn, introverted/extroverted characteristics, living, social support, and resignation are the main factors influencing the rehabilitation level of burn patients.

  15. International Collaboration Patterns and Effecting Factors of Emerging Technologies.

    Science.gov (United States)

    Bai, Xu; Liu, Yun

    2016-01-01

    With the globalization of the world economy, international innovation collaboration has taken place all over the world. This study selects three emerging technologies (3D printing, big data and carbon nanotubes and graphene technology) among 20 countries as the research objects, using three patent-based indicators and network relationship analysis to reflect international collaboration patterns. Then we integrate empirical analyses to show effecting factors of international collaboration degrees by using panel data. The results indicate that while 3D printing technology is associated with a "balanced collaboration" mode, big data technology is more accurately described by a radial pattern, centered on the United States, and carbon nanotubes and graphene technology exhibits "small-world" characteristics in this respect. It also shows that the factors GDP per capita (GPC), R&D expenditure (RDE) and the export of global trade value (ETV) negatively affect the level of international collaboration. It could be useful for China and other developing countries to make international scientific and technological collaboration strategies and policies in the future.

  16. International Collaboration Patterns and Effecting Factors of Emerging Technologies.

    Directory of Open Access Journals (Sweden)

    Xu Bai

    Full Text Available With the globalization of the world economy, international innovation collaboration has taken place all over the world. This study selects three emerging technologies (3D printing, big data and carbon nanotubes and graphene technology among 20 countries as the research objects, using three patent-based indicators and network relationship analysis to reflect international collaboration patterns. Then we integrate empirical analyses to show effecting factors of international collaboration degrees by using panel data. The results indicate that while 3D printing technology is associated with a "balanced collaboration" mode, big data technology is more accurately described by a radial pattern, centered on the United States, and carbon nanotubes and graphene technology exhibits "small-world" characteristics in this respect. It also shows that the factors GDP per capita (GPC, R&D expenditure (RDE and the export of global trade value (ETV negatively affect the level of international collaboration. It could be useful for China and other developing countries to make international scientific and technological collaboration strategies and policies in the future.

  17. International Collaboration Patterns and Effecting Factors of Emerging Technologies

    Science.gov (United States)

    Bai, Xu; Liu, Yun

    2016-01-01

    With the globalization of the world economy, international innovation collaboration has taken place all over the world. This study selects three emerging technologies (3D printing, big data and carbon nanotubes and graphene technology) among 20 countries as the research objects, using three patent-based indicators and network relationship analysis to reflect international collaboration patterns. Then we integrate empirical analyses to show effecting factors of international collaboration degrees by using panel data. The results indicate that while 3D printing technology is associated with a “balanced collaboration” mode, big data technology is more accurately described by a radial pattern, centered on the United States, and carbon nanotubes and graphene technology exhibits “small-world” characteristics in this respect. It also shows that the factors GDP per capita (GPC), R&D expenditure (RDE) and the export of global trade value (ETV) negatively affect the level of international collaboration. It could be useful for China and other developing countries to make international scientific and technological collaboration strategies and policies in the future. PMID:27911926

  18. Identification of effective factors on customer loyalty with mobile industry

    Directory of Open Access Journals (Sweden)

    Soheila Sardar Donighi

    2013-08-01

    Full Text Available Customers or clients are counted to be reasons for existence and continuation of life of every organization and, therefore, it is essential to review various aspects of customer satisfaction. Many customers may seem to be satisfied but they may switch to competitor companies for various reasons. Loyal customers constitute a major factor for organizational successes and there are many attempts to create loyal customers. The customer loyalty was defined as commitment of customers to deal with a particular organization or buy given goods repeatedly. During the present research, the researcher engages in the evaluation of factors effective on satisfaction and loyalty of customers and in the study of their interactions, using the famous American Model of Customer Satisfaction. Major variables of such pattern are as follows: customer expectations, perceived quality, perceived value, customer satisfaction, Repurchase Likelihood, Price Tolerance changes and customer complaint. In this study, 384 cell-phone users were randomly selected from different departments of North Tehran Branch of Islamic Azad University. Valuable data were gathered by closed response questionnaire. Afterward we derived eleven correlations between different parameters by using structural equation modeling. Finally, all of suppositions were confirmed by confidence level up to 95%. In addition, the SPSS and XLSTAT PLS software packages are utilized in the process and analysis of data and investigation of study's hypotheses and necessary analyses have been done.

  19. 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.

  20. Pareto analysis of critical factors affecting technical institution evaluation

    Directory of Open Access Journals (Sweden)

    Victor Gambhir

    2012-08-01

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

  1. Confounding Factors in the Transcriptome Analysis of an In-Vivo Exposure Experiment

    NARCIS (Netherlands)

    Bruning, O.; Rodenburg, W.; Wackers, P.F.K.; van Oostrom, C.; Jonker, M.J.; Dekker, R.J.; Rauwerda, H.; Ensink, W.A.; de Vries, A; Breit, T.M.

    2016-01-01

    CONFOUNDING FACTORS: In transcriptomics experimentation, confounding factors frequently exist alongside the intended experimental factors and can severely influence the outcome of a transcriptome analysis. Confounding factors are regularly discussed in methodological literature, but their actual,

  2. Analysis of the financial factors governing the profitability of lunar helium-3

    International Nuclear Information System (INIS)

    Kulcinski, G.L.; Thompson, H.; Ott, S.

    1989-01-01

    Financial factors influencing the profitability of the mining and utilization of lunar helium-3 are examined. The analysis addressed the following questions: (1) which financial factors have the greatest leverage on the profitability of He-3; (2) over what range can these factors be varied to keep the He-3 option profitable; and (3) what ultimate effect could this energy source have on the price of electricity for U.S. consumers. Two complementary methods of analysis were used in the assessment: rate of return on incremental investment required and reduction revenue requirements (total cost to customers) achieved. Some of the factors addressed include energy demand, power generation costs with and without fusion, profitability for D-He(3) fusion, annual capital and operating costs, launch mass and costs, He-3 price, and government funding. Specific conclusions are made with respect to each of the companies considered: utilities, lunar mining company, and integrated energy company

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

    Science.gov (United States)

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

    2011-08-15

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

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

    Science.gov (United States)

    Pezzoli, Patrizia; Antfolk, Jan; Santtila, Pekka

    2017-01-01

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

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

    Directory of Open Access Journals (Sweden)

    James Baglin

    2014-06-01

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

  6. STABILITY ANALYSIS OF ORTHOTROPIC RECTANGULAR PLATES USING THE FORM FACTOR

    Directory of Open Access Journals (Sweden)

    Savin Sergey Yur’evich

    2018-01-01

    . We demonstrated how to obtain the solution of the stability problem for orthotropic rectangular plates by the form factor interpolation method using the results obtained from the aforementioned analytical expressions as the reference solutions. The solutions obtained by the form factor interpolation method are compared with the results of calculations by the finite element method and show a good accuracy. Conclusions: the analytical expressions for critical loads presented in this work can be used directly for the stability analysis of orthotropic rectangular plates loaded in one direction as well as to obtain one of the reference solutions by the form factor interpolation method for plates with arbitrary convex contour and combined boundary conditions. The proposed approach can be extended to other forms of plates, boundary conditions and loading types.

  7. A Retrospective Analysis of Factors Affecting Early Stoma Complications.

    Science.gov (United States)

    Koc, Umit; Karaman, Kerem; Gomceli, Ismail; Dalgic, Tahsin; Ozer, Ilter; Ulas, Murat; Ercan, Metin; Bostanci, Erdal; Akoglu, Musa

    2017-01-01

    Despite advances in surgical techniques and products for stoma care, stoma-related complications are still common. A retrospective analysis was performed of the medical records of 462 consecutive patients (295 [63.9%] female, 167 [36.1 %] male, mean age 55.5 ± 15.1 years, mean body mass index [BMI] 25.1 ± 5.2) who had undergone stoma creation at the Gastroenterological Surgery Clinic of Turkiye Yuksek İhtisas Teaching and Research Hospital between January 2008 and December 2012 to examine the incidence of early (ie, within 30 days after surgery) stoma complications and identify potential risk factors. Variables abstracted included gender, age, and BMI; existence of malignant disease; comorbidities (diabetes mellitus, hypertension, coronary artery disease, chronic respiratory disease); use of neoadjuvant chemoradiotherapy; permanent or temporary stoma; type of stoma (loop/end stoma); stoma localization; and the use of preoperative marking of the stoma site. Data were entered and analyzed using statistical software. Descriptive statistics, chi-squared, and Mann-Whitney U tests were used to describe and analyze all variables, and logistic regression analysis was used to determine independent risk factors for stoma complications. Ostomy-related complications developed in 131 patients (28.4%) Of these, superficial mucocutaneous separation was the most frequent complication (90 patients, 19.5%), followed by stoma retraction (15 patients, 3.2%). In univariate analysis, malignant disease (P = .025), creation of a colostomy (P = .002), and left lower quadrant stoma location (P toma complication. Only stoma location was an independent risk factor for the development of a stoma complication (P = .044). The rate of stoma complications was not significantly different between patients who underwent nonemergent surgery (30% in patients preoperatively sited versus 28.4% not sited) and patients who underwent emergency surgery (27.1%). Early stoma complication rates were higher

  8. Overlap between the general factor of personality and emotional intelligence: A meta-analysis.

    Science.gov (United States)

    van der Linden, Dimitri; Pekaar, Keri A; Bakker, Arnold B; Schermer, Julie Aitken; Vernon, Philip A; Dunkel, Curtis S; Petrides, K V

    2017-01-01

    We examine the relationship between the general factor of personality (GFP) and emotional intelligence (EI) and specifically test the hypothesis that the GFP is a social effectiveness factor overlapping conceptually with EI. Presented is an extensive meta-analysis in which the associations between the GFP, extracted from the Big Five dimensions, with various EI measures is examined. Based on a total sample of k = 142 data sources (N = 36,268) the 2 major findings from the meta-analysis were (a) a large overlap between the GFP and trait EI (r ≈ .85); and (b) a positive, but more moderate, correlation with ability EI (r ≈ .28). These findings show that high-GFP individuals score higher on trait and ability EI, supporting the notion that the GFP is a social effectiveness factor. The findings also suggest that the GFP is very similar, perhaps even synonymous, to trait EI. (PsycINFO Database Record (c) 2016 APA, all rights reserved).

  9. Latent variable models on performance tests in guide dogs. 1. Factor analysis

    Directory of Open Access Journals (Sweden)

    Pierlorenzo Secchiari

    2010-01-01

    Full Text Available The research has been conducted on behavioural test results obtained from 143 dogs of pedigreed stock reared in the National Guide Dog School (SNCG of Scandicci (Firenze, Italy, consisting mostly of Labradors and Golden Retrievers, but also including German Shepherds. All dogs have been reared under quite uniform conditions and tested individually under similar conditions. The results following the 11 administered subtests, [that constitute variables in our analysis], were expressed in scores ranging from 1 to 5 and used after calculation of the rank averaged scores. The analysis of the Pearson and partial correlations between the variables points out a clean distinction in two groups. The first consists of variables related to characters of sociability and to relationship with the han- dler, with expression of dominance/submissiveness and the second to characters of reaction to external stim- uli with expressions of fearfulness/curiosity. Results of factor analysis led us to reject the one factor model and accept a model with two factors, in which: 1 Factor I identifies variables of the group tied to the fearfulness/curiosity; 2 Factor II identifies the vari- ables of the group tied to sociability and to relationship with the handler. The two factors are correlated, indicating the presence of some non negligible, indirect effects. One out of the eleven variables has not shown important evidence of contribution to any of the factors.

  10. Antarctica Meta-Analysis: Psychosocial Factors Related to Long Duration Isolation and Confinement

    Science.gov (United States)

    Leveton, Lauren; Shea, Camille; Slack, Kelley J.; Keeton, Kathryn E.; Palinkas, Lawrence A.

    2009-01-01

    This meta-analysis is examining the psychological effects of wintering-over in Antarctica. As an isolated, confined, and extreme (ICE) environment, Antarctica provides invaluable opportunities to experience stressors more common to spaceflight than to the average person s everyday life. Increased prevalence of psychological symptoms, syndromes, and psychiatric disorders, as well as positive effects, are expected to be associated with various demographic and environmental factors. Implications for spaceflight are discussed. Findings from statistical review of the Antarctic articles will be shared.

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

    Science.gov (United States)

    Shinzato, Takashi

    2017-06-01

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

  12. [A new calibration transfer method based on target factor analysis].

    Science.gov (United States)

    Wang, Yan-bin; Yuan, Hong-fu; Lu, Wan-zhen

    2005-03-01

    A new calibration transfer method based on target factor analysis is proposed.The performance of the new method compared with the piecewise direct standardization method. This method was applied to two data sets, of which one is a simulation data set, and the other is an NIR data set composed of benzene, toluene, xylene and isooctane. The results obtained with this new method are at least as well as those obtained by PDS with the biggest improvement occurring when the spectra have some non-linear responses.

  13. Five factor model personality factors moderated the effects of an intervention to enhance chronic disease management self-efficacy.

    Science.gov (United States)

    Franks, Peter; Chapman, Benjamin; Duberstein, Paul; Jerant, Anthony

    2009-09-01

    Peer led interventions can enhance patient self-efficacy for managing chronic illnesses, but little is known regarding the moderators or duration of their effects. We hypothesized Homing in on Health (HIOH), a variant of the Chronic Disease Self-Management Program, would be most effective in patients high in neuroticism and low in extraversion, openness, agreeableness, and/or conscientiousness. Analysis of data from subjects (N=415) enrolled in an ongoing randomized controlled trial. Regression analyses were conducted to explore whether Five Factor Model (FFM) personality factors moderated the effects of HIOH, delivered in subjects' homes or via telephone, on disease management self-efficacy. Data were collected at 6 time points over the course of 1 year. Compared with control and telephone HIOH, home HIOH significantly increased self-efficacy, an effect peaking at 6 weeks and fully attenuating by 1 year. Moderation analyses revealed the benefit was confined to patients higher in neuroticism and/or lower in conscientiousness, agreeableness, and extraversion. A peer led intervention to enhance disease management self-efficacy had only short-term effects, and FFM personality factors moderated those effects. Measuring personality factors in chronically ill individuals may facilitate targeting of self-management interventions to those most likely to respond.

  14. Factor analysis methods and validity evidence: a review of instrument development across the medical education continuum.

    Science.gov (United States)

    Wetzel, Angela P

    2012-08-01

    Instrument development consistent with best practices is necessary for effective assessment and evaluation of learners and programs across the medical education continuum. The author explored the extent to which current factor analytic methods and other techniques for establishing validity are consistent with best practices. The author conducted electronic and hand searches of the English-language medical education literature published January 2006 through December 2010. To describe and assess current practices, she systematically abstracted reliability and validity evidence as well as factor analysis methods, data analysis, and reported evidence from instrument development articles reporting the application of exploratory factor analysis and principal component analysis. Sixty-two articles met eligibility criteria. They described 64 instruments and 95 factor analyses. Most studies provided at least one source of evidence based on test content. Almost all reported internal consistency, providing evidence based on internal structure. Evidence based on response process and relationships with other variables was reported less often, and evidence based on consequences of testing was not identified. Factor analysis findings suggest common method selection errors and critical omissions in reporting. Given the limited reliability and validity evidence provided for the reviewed instruments, educators should carefully consider the available supporting evidence before adopting and applying published instruments. Researchers should design for, test, and report additional evidence to strengthen the argument for reliability and validity of these measures for research and practice.

  15. Sacrococcygeal pilonidal disease: analysis of previously proposed risk factors

    Directory of Open Access Journals (Sweden)

    Ali Harlak

    2010-01-01

    Full Text Available PURPOSE: Sacrococcygeal pilonidal disease is a source of one of the most common surgical problems among young adults. While male gender, obesity, occupations requiring sitting, deep natal clefts, excessive body hair, poor body hygiene and excessive sweating are described as the main risk factors for this disease, most of these need to be verified with a clinical trial. The present study aimed to evaluate the value and effect of these factors on pilonidal disease. METHOD: Previously proposed main risk factors were evaluated in a prospective case control study that included 587 patients with pilonidal disease and 2,780 healthy control patients. RESULTS: Stiffness of body hair, number of baths and time spent seated per day were the three most predictive risk factors. Adjusted odds ratios were 9.23, 6.33 and 4.03, respectively (p<0.001. With an adjusted odds ratio of 1.3 (p<.001, body mass index was another risk factor. Family history was not statistically different between the groups and there was no specific occupation associated with the disease. CONCLUSIONS: Hairy people who sit down for more than six hours a day and those who take a bath two or less times per week are at a 219-fold increased risk for sacrococcygeal pilonidal disease than those without these risk factors. For people with a great deal of hair, there is a greater need for them to clean their intergluteal sulcus. People who engage in work that requires sitting in a seat for long periods of time should choose more comfortable seats and should also try to stand whenever possible.

  16. Logistic regression analysis of risk factors for postoperative recurrence of spinal tumors and analysis of prognostic factors.

    Science.gov (United States)

    Zhang, Shanyong; Yang, Lili; Peng, Chuangang; Wu, Minfei

    2018-02-01

    The aim of the present study was to investigate the risk factors for postoperative recurrence of spinal tumors by logistic regression analysis and analysis of prognostic factors. In total, 77 male and 48 female patients with spinal tumor were selected in our hospital from January, 2010 to December, 2015 and divided into the benign (n=76) and malignant groups (n=49). All the patients underwent microsurgical resection of spinal tumors and were reviewed regularly 3 months after operation. The McCormick grading system was used to evaluate the postoperative spinal cord function. Data were subjected to statistical analysis. Of the 125 cases, 63 cases showed improvement after operation, 50 cases were stable, and deterioration was found in 12 cases. The improvement rate of patients with cervical spine tumor, which reached 56.3%, was the highest. Fifty-two cases of sensory disturbance, 34 cases of pain, 30 cases of inability to exercise, 26 cases of ataxia, and 12 cases of sphincter disorders were found after operation. Seventy-two cases (57.6%) underwent total resection, 18 cases (14.4%) received subtotal resection, 23 cases (18.4%) received partial resection, and 12 cases (9.6%) were only treated with biopsy/decompression. Postoperative recurrence was found in 57 cases (45.6%). The mean recurrence time of patients in the malignant group was 27.49±6.09 months, and the mean recurrence time of patients in the benign group was 40.62±4.34. The results were significantly different (Pfactors showed that total resection should be the preferred treatment for patients with benign tumors, thoracic and lumbosacral tumors, and lower McCormick grade, as well as patients without syringomyelia and intramedullary tumors. Logistic regression analysis of recurrence-related factors revealed that the recurrence rate was relatively higher in patients with malignant, cervical, thoracic and lumbosacral, intramedullary tumors, and higher McCormick grade and patient received partial resection or

  17. Information technology portfolio in supply chain management using factor analysis

    Directory of Open Access Journals (Sweden)

    Ahmad Jaafarnejad

    2013-11-01

    Full Text Available The adoption of information technology (IT along with supply chain management (SCM has become increasingly a necessity among most businesses. This enhances supply chain (SC performance and helps companies achieve the organizational competitiveness. IT systems capture and analyze information and enable management to make decisions by considering a global scope across the entire SC. This paper reviews the existing literature on IT in SCM and considers pertinent criteria. Using principal component analysis (PCA of factor analysis (FA, a number of related criteria are divided into smaller groups. Finally, SC managers can develop an IT portfolio in SCM using mean values of few extracted components on the relevance –emergency matrix. A numerical example is provided to explain details of the proposed method.

  18. Clinical usefulness of physiological components obtained by factor analysis

    International Nuclear Information System (INIS)

    Ohtake, Eiji; Murata, Hajime; Matsuda, Hirofumi; Yokoyama, Masao; Toyama, Hinako; Satoh, Tomohiko.

    1989-01-01

    The clinical usefulness of physiological components obtained by factor analysis was assessed in 99m Tc-DTPA renography. Using definite physiological components, another dynamic data could be analyzed. In this paper, the dynamic renal function after ESWL (Extracorporeal Shock Wave Lithotripsy) treatment was examined using physiological components in the kidney before ESWL and/or a normal kidney. We could easily evaluate the change of renal functions by this method. The usefulness of a new analysis using physiological components was summarized as follows: 1) The change of a dynamic function could be assessed in quantity as that of the contribution ratio. 2) The change of a sick condition could be morphologically evaluated as that of the functional image. (author)

  19. Retinopathy of prematurity: screening, incidence and risk factors analysis.

    Science.gov (United States)

    Yang, C S; Chen, S J; Lee, F L; Hsu, W M; Liu, J H

    2001-12-01

    The sequela of retinopathy of prematurity (ROP) is an important cause of infant blindness. This study was designed to screen the high-risk premature infants and investigate the incidence and risk factors associated with the development of ROP. From October 1997 to October 1998, all premature infants with birth body weight (BBW) less than 2000 gm or gestational age (GA) less than 36 weeks were enrolled and underwent ophthalmologic examination at 4 to 6 weeks of age at Taipei Veterans General Hospital. The perinatal variables were analyzed to evaluate their correlation with the development of ROP. In totally 108 premature infants, the incidence for development of ROP was 25% (27 in 108 patients). The threshold ROP occurred in 15 eyes (7%). The average BBW and GA (1267+/-341 gm and 29.7+/-2.7 weeks) were significantly lower in ROP group than in the non-ROP group (1703+/-368 gm and 32.3+/-2.2 weeks). The artificial ventilation for more than 5 days, chronic lung disease and periventricular leukomalacia were significant risk factors associated with highest rate of ROP. The respiratory distress syndrome, intraventricular hemorrhage, congenital heart disease and sepsis were significant risk factors accompanied by moderate rate of ROP. Low birth body weight and young gestational age are the most important risk factors in the development of ROP. The analysis of risk factors will be helpful in understanding and prediction of ROP formation in high-risk neonates. The timely clinical screening retina examination of high-risk premature infants is important to prevent the development of advanced ROP.

  20. Analysis of Factors Affecting Productivity of Horizontal Wells Based on Grey Relational Theory

    Science.gov (United States)

    Dai, Shuhui; Zhang, Jianguo; Gao, Xin; Wang, Xiande

    2018-01-01

    Taking Bp block of the Middle East as the target, on the basis of Joshi’s formula of horizontal well productivity prediction and the application of grey relevancy analysis on the average permeability, effective thickness, production pressure difference, oil saturation of reservoir and other major factors for the impact of the initial productivity of the horizontal wells, by means of obtaining the grey relational grade of influencing factors and the production of single well and optimal to optimize the combination of differential pressure, horizontal section length and other parameters, the effective exploitation of the oil field is achieved.

  1. Factors contributing to, and effects of, teenage pregnancy in Juba

    African Journals Online (AJOL)

    OBJECTIVE: To explore the factors contributing to, and effecting, pregnancy among teenagers in Juba. METHODS: This descriptive cross-sectional study was conducted in Juba Teaching Hospital among 50 randomly sampled pregnant teenagers in 2015. RESULTS: The factors contributing to teenage pregnancy included: ...

  2. The effect of psychosocial factors and patients' perception of ...

    African Journals Online (AJOL)

    Background: Although there are several studies reported on factors affecting tuberculosis (TB) treatment non-adherence, there is information gap on psychosocial and patients' perceptions aspects. Therefore, this study was aimed to investigate the effect of psychosocial factors and patients' perceptions on TB treatment ...

  3. Investigation of the effects of certain formulation factors on release ...

    African Journals Online (AJOL)

    Objective: To study the effects of three formulation variables (PVP, stearic acid and Avicel PH101) on disintegration time and release properties of paracetamol tablets using a 23 factorial experimental design. Methodology: Three formulation variables; Polyvinyl pyrrolidone (factor A), Stearic acid (factor B) and Avicel PH 101 ...

  4. Effects of Demographic Factors, Body Mass Index, Alcohol Drinking ...

    African Journals Online (AJOL)

    current work aimed to evaluate demographic factors in an IBS population in Iran using a case‑control design. Subjects and Methods. From, October 2010 to October 2011, we performed. Effects of Demographic Factors, Body Mass Index,. Alcohol Drinking and Smoking Habits on Irritable. Bowel Syndrome: A Case Control ...

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

    OpenAIRE

    Gideon P. de Bruin

    2000-01-01

    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 uns...

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

    Science.gov (United States)

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

    2011-10-01

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

  7. Moderating Factors of Immediate, Dynamic, and Long-run Cross-Price Effects

    NARCIS (Netherlands)

    C. Horváth (Csilla); D. Fok (Dennis)

    2008-01-01

    textabstractIn this article the authors describe their comprehensive analysis of moderating factors of cross-brand effects of price changes and contribute to the literature in five major ways. (1) They consider an extensive set of potential variables influencing cross-brand effects of price changes.

  8. Effect of tissue and plasma factors on kidney proliferation.

    Science.gov (United States)

    Inda, A M; García, A L; Errecalde, A L; Badrán, A F

    1997-04-01

    Liver extract, plasma from intact mice, ES2 tumour extract and plasma from tumour bearing mice has an inhibiting effect on the mitotic activity of hepatocytes and duodenal enterocytes. In the present experiments, the effect of these treatments on the mitotic activity of renal tubular cells was studied. C3HS 28 day-old male mice, standardized for periodicity analysis were used. The determination of normal mitotic circadian curve of the renocytes was done. A second batch of mice were injected with 0.01 ml/gr of either liver extract, plasma from intact mice, ES2 tumour extract or plasma from tumour bearing mice, at 16:00 hours and controlled at 08:00, 12:00 and 16:00 hs during 2 consecutive days post treatment. Colchicine (2 micrograms/gr) was injected 4 hours before killing. Kidneys were processed for histology and mitotic index determinations. Results were expressed as colchicine metaphases per 1000 nuclei, and showed that mitotic activity values of treated animals were significantly lower than those of controls. In conclusion, mitotic activity inhibition of renocytes may be due to some non specific plasmatic and/or tissue factors.

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

    Directory of Open Access Journals (Sweden)

    Ana Maria T. Benevides-Pereira

    2017-05-01

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

  10. Assessing emergency nurses' clinical competency: An exploratory factor analysis study

    Directory of Open Access Journals (Sweden)

    Atefeh Ghanbari

    2017-01-01

    Full Text Available Background: Nursing as a clinical discipline is developing in the emergency wards. Health care systems should continuously assess and prioritize indicators of clinical competency in these wards. The lack of clear standards of clinical competency indicators challenges evaluation. The purpose of this study was to determine clinical competency indicators and its priority based on nurses' views in educational and therapeutic centers in Guilan. Materials and Methods: The Q methodology was conducted in three phases, that is, phase I (determining the clinical competency indicators, phase II (classifying clinical competency indicators by an expert panel, and phase III (prioritizing clinical competency indicators. The subjects were selected by convenience sampling among nurses working in the emergency wards of teaching hospitals affiliated to Guilan in 2013. Finally, clinical competency indicators were prioritized using exploratory factor analysis. Results: In the prioritizing phase, data were collected from 710 nurses over two months. Five factors with 30 general competencies were found in three domains: communication, professional maturity, and personality characteristics. Six factors with 37 specific competencies were also found in two domains: scientific and technical capabilities and basic clinical skills that can provide a structured instrument for assessing clinical competence in emergency nurses. Conclusions: Achieved competencies can be used as a reference for nursing education and practice in emergency. Further research on health care system is needed in order to achieve a reliable and valid instrument.

  11. Confirmatory factor analysis of the Competitive State Anxiety Inventory-2.

    Science.gov (United States)

    Lane, A M; Sewell, D F; Terry, P C; Bartram, D; Nesti, M S

    1999-06-01

    The aim of this study was to evaluate the factor structure of the Competitive State Anxiety Inventory-2 (CSAI-2) using confirmatory factor analysis. Volunteer participants (n = 1213) completed the CSAI-2 approximately 1 h before competition and the data were analysed in two samples. The hypothesized model showed poor fit indices in both samples independently (Robust Comparative Fit Index: sample A = 0.82, sample B = 0.84) and simultaneously (Comparative Fit Index = 0.83), suggesting that the factor structure proposed by Martens et al. is flawed. Our findings suggest that a limitation of the Cognitive Anxiety scale derives from phrasing items around the word 'concerned' rather than 'worried'. We suggest that being concerned about an impending performance does not necessarily mean that an athlete is experiencing negative thoughts, but that the athlete is acknowledging the importance and difficulty of the challenge and is attempting to mobilize resources to cope. The present results question the use of the CSAI-2 as a valid measure of competitive state anxiety.

  12. Container Throughput Forecasting Using Dynamic Factor Analysis and ARIMAX Model

    Directory of Open Access Journals (Sweden)

    Marko Intihar

    2017-11-01

    Full Text Available The paper examines the impact of integration of macroeconomic indicators on the accuracy of container throughput time series forecasting model. For this purpose, a Dynamic factor analysis and AutoRegressive Integrated Moving-Average model with eXogenous inputs (ARIMAX are used. Both methodologies are integrated into a novel four-stage heuristic procedure. Firstly, dynamic factors are extracted from external macroeconomic indicators influencing the observed throughput. Secondly, the family of ARIMAX models of different orders is generated based on the derived factors. In the third stage, the diagnostic and goodness-of-fit testing is applied, which includes statistical criteria such as fit performance, information criteria, and parsimony. Finally, the best model is heuristically selected and tested on the real data of the Port of Koper. The results show that by applying macroeconomic indicators into the forecasting model, more accurate future throughput forecasts can be achieved. The model is also used to produce future forecasts for the next four years indicating a more oscillatory behaviour in (2018-2020. Hence, care must be taken concerning any bigger investment decisions initiated from the management side. It is believed that the proposed model might be a useful reinforcement of the existing forecasting module in the observed port.

  13. The development of human factors technologies -The development of human behaviour analysis techniques-

    International Nuclear Information System (INIS)

    Lee, Jung Woon; Lee, Yong Heui; Park, Keun Ok; Chun, Se Woo; Suh, Sang Moon; Park, Jae Chang

    1995-07-01

    In order to contribute to human error reduction through the studies on human-machine interaction in nuclear power plants, this project has objectives to develop SACOM(Simulation Analyzer with a Cognitive Operator Model) and techniques for human error analysis and application. In this year, we studied the followings: 1) Site investigation of operator tasks, 2) Development of operator task micro structure and revision of micro structure, 3) Development of knowledge representation software and SACOM prototype, 4) Development of performance assessment methodologies in task simulation and analysis of the effects of performance shaping factors. 1) Classification of error shaping factors(ESFs) and development of software for ESF evaluation, 2) Analysis of human error occurrences and revision of analysis procedure, 3) Experiment for human error data collection using a compact nuclear simulator, 4) Development of a prototype data base system of the analyzed information on trip cases. 55 figs, 23 tabs, 33 refs. (Author)

  14. Synaptic modulation by neurotrophic factors: differential and synergistic effects of brain-derived neurotrophic factor and ciliary neurotrophic factor.

    Science.gov (United States)

    Stoop, R; Poo, M M

    1996-05-15

    Extracellular application of brain-derived neurotrophic factor (BDNF) and ciliary neurotrophic factor (CNTF) to developing neuromuscular junctions in Xenopus nerve-muscle cultures resulted in an increase in the frequency of spontaneous synaptic currents (SSCs) and in the amplitude of nerve-evoked synaptic currents. Analyses of the amplitude and time course of the SSCs suggest that these effects are attributable to elevation of presynaptic transmitter release. The actions of these two factors on the transmitter secretion process, however, are distinctly different. Fura-2 Ca2+ imaging showed that an increase in presynaptic cytosolic Ca2+ ([Ca2+]i) accompanied the synaptic potentiation by BDNF, whereas no change in [Ca2+]i was observed during synaptic potentiation by CNTF. Removing external Ca2+ also abolished the potentiating effect of BDNF but did not influence the CNTF effect. Moreover, the two factors exerted different effects on the short-term synaptic plasticity. Paired-pulse facilitation normally found at these synapses was reduced by BDNF but unaffected by CNTF; CNTF, but not BDNF, reduced the extent of synaptic depression during high-frequency tetanic stimulation. Finally, the potentiation effect of BDNF and CNTF on spontaneous transmitter release was additive when both factors were applied together to the synapse at saturating concentrations (100 ng/ml) and was highly synergistic when low doses (1 and 10 ng/ml) of both factors were used. These results suggest that because of their differential effects on the secretory machinery, BDNF and CNTF may act cooperatively in modulating the development and functioning of synapses.

  15. Factors Influencing Renewable Energy Production & Supply - A Global Analysis

    Science.gov (United States)

    Ali, Anika; Saqlawi, Juman Al

    2016-04-01

    Renewable energy is one of the key technologies through which the energy needs of the future can be met in a sustainable and carbon-neutral manner. Increasing the share of renewable energy in the total energy mix of each country is therefore a critical need. While different countries have approached this in different ways, there are some common aspects which influence the pace and effectiveness of renewable energy incorporation. This presentation looks at data and information from 34 selected countries, analyses the patterns, compares the different parameters and identifies the common factors which positively influence renewable energy incorporation. The most successful countries are analysed for their renewable energy performance against their GDP, policy/regulatory initiatives in the field of renewables, landmass, climatic conditions and population to identify the most influencing factors to bring about positive change in renewable energy share.

  16. Coping Responses Among Hospice Family Caregivers: A Confirmatory Factor Analysis.

    Science.gov (United States)

    Washington, Karla T; Rakes, Christopher R

    2015-12-01

    Hospice family caregivers must often cope with significant stressors. Research into the ways caregivers attempt to cope with these stressors has been challenged by pronounced difficulties conceptualizing, measuring, and categorizing caregiver coping. The purpose of this study was to begin addressing these challenges by determining the structure of coping among hospice family caregivers. Hospice family caregivers (n = 223) residing in the midsouthern U.S. completed the Ways of Coping Questionnaire as part of a cross-sectional survey. To examine the validity of various coping response factor structures, researchers conducted multiple confirmatory factor analyses. Although individual coping behaviors were able to be sorted into broader "ways of coping" (i.e., first-order factors), data did not support the further grouping of ways of coping into more general "families of coping" (i.e., second-order factors). Folkman and Lazarus's proposed structure of coping, which comprises eight first-order factors or subscales, better fit the data than the tested alternatives. Despite its broad appeal, grouping ways of coping responses into families of coping based on the presupposed nature of the responses (e.g., positive or negative) lacked empirical support for this sample of hospice family caregivers, which suggests that relying on families of coping may oversimplify complex responses from caregivers. Rather than trying to characterize coping responses into broader families, hospice support for caregiver coping strategies may be more effective when based on individualized assessments of each caregiver's ways of coping and the consequences of those coping responses on their quality of life. Copyright © 2015 American Academy of Hospice and Palliative Medicine. Published by Elsevier Inc. All rights reserved.

  17. An empirical analysis of macroeconomic and bank-specific factors affecting liquidity of Indian banks

    Directory of Open Access Journals (Sweden)

    Anamika Singh

    2016-06-01

    Full Text Available This paper investigates bank-specific and macroeconomic factors that determine the liquidity of Indian banks. To explore the association, we perform OLS, fixed effect and random effect estimates on a data set of 59 banks from 2000 to 2013. Studied bank-specific factors include bank size, profitability, cost of funding, capital adequacy and deposits. GDP, inflation and unemployment are the macroeconomic factors considered. We also perform liquidity trend analysis of Indian banks based on ownership. Findings reveal that bank ownership affects liquidity of banks. Based on panel data analysis, we suggest that bank-specific (except cost of funding and macroeconomic (except unemployment factors significantly affect bank liquidity. These include bank size, deposits, profitability, capital adequacy, GDP and inflation. Further, bank size and GDP were found to have a negative effect on bank liquidity. On the other hand, deposits, profitability, capital adequacy and inflation showed a positive effect on bank liquidity. Cost of funding and unemployment showed an insignificant effect on bank liquidity. Our paper highlights new facts for enhanced understanding of liquidity in emerging economies like India.

  18. Application of factor analysis to chemically analyzed data in environmental samples after x-ray fluorescence analysis

    International Nuclear Information System (INIS)

    El-Sayed, A.A.

    2005-01-01

    The underlying principle of factorial analysis is frequency distribution and description of reaction in between and through the element series in specific environmental samples. Application of this factor analysis was elaborated to interpret the variance and covariance of certain elements Si, Al, Ca. K, Fe, Ti and Mg in three different types of common materials in environmental sediments, soil, and rock. These evaluations were proceeded after x-ray fluorescence measurements. Results of applications of factorial statistical data analysis show that three factors cause relationship between the above elements in a certain type of environmental samples are mainly recognized. In such cases, these factors represent the main reason for findings and interpret all hidden relationship between the chemical analyzed data. Factor one, the effect of weathering type alteration and oxidation reaction processes as a main one in case of soil and rock where they are characterized by the close covariance of a group of metals, like iron and manganese, commonly derived from weathered and altered igneous rocks. Factor two and three represents other processes. In case of soil, formation of alumino-silicate is revealed in factor two due to the positive covariance of these elements and also the presence of aluminum oxide, titanium oxide and silicon dioxide together is explained by these positive values. The inverse relation between Ca, K, Fe and Mg while indicate the presence of mineral salts which may be due to fertilization and water of irrigation. In case of factor three in that soil, it is the weakest factor that can be used to explain the relationship between the above elements

  19. An empirical study to determine effective factors on organizational commitment

    OpenAIRE

    Nase Azad; Sanaz Sadeghi

    2012-01-01

    Organizational commitment plays an important role on the success of business units. Many companies rely on their human resources and when some skilled employees leave an organization, there would be a chaos in some organizations especially in small business units. The proposed study of this paper gathers the necessary information from 200 employees who work for custom organization in Iran. The results of factor analysis have indicated there are four factors influencing organizational commitme...

  20. [Breast Cancer Survival: Clinical andPathological Prognostic Factors Analysis].

    Science.gov (United States)

    Maffuz-Aziz, A; Labastida-Almendaro, S; Sherwell-Cabello, S; RuvalcabaLimón, E; Domínguez-Reyes, C A; Tenorio-Torres, J A; Rodríguez-Cuevas, S

    2016-08-01

    Breast cancer is the leading cause of cancer death in women in Mexico, is a heterogeneous disease, and knowledge of prognostic factors are critical in making treatment decisions. determine the overall survival (OS) and disease-free survival (DFS) at 5 years, analyzed by risk groups. Patients diagnosed with breast treated at the Institute of Breast Diseases FUCAM from July 2005 to December 2014 were included. Simple frequencies were used for analysis of the general characteristics, and 5- year OS and DFS were analyzed using Kaplan-Meier curves. A subset analysis of the clinical stage and comparing survival in those patients diagnosed by mammography screening program was performed. 4,902 patients with breast cancer were included, general clinical and pathological features are described and 3,762 patients were included for analysis of 5-year OS and DFS. The average age at diagnosis was 53.7 years; 13.3% were 40. At diagnosis predominated locally advanced stages (45%), OS and DFS at 5 years was 96.8 ± 0.6% and 93.4%±0.9 respectively for early stages, 74.6 ± 1.7% and 68.7 ± 2% for locally advanced and 35.9 ± 5.1% and 37.4 ± 10.3% for metastatic tumors. Women diagnosed in the screening program had significantly better OS and DFS compared with symptomatic patients (95 and 93% vs 79 and 77%). For biological subtypes, OS and DFS was 89 and 84% for luminal, 81 and 81% for luminal Her +, 74 and 78% for pure Her 2, and 69 and 73% for triple negative. Knowledge of the prognostic factors that affect survival of patients with breast cancer is essential for categorizing risk groups and to individualize treatment in order to improve life expectancy.

  1. The Factor Structure of the CA-MIR as Evaluated Using Confirmatory Factor Analysis

    Directory of Open Access Journals (Sweden)

    Paola Molina

    2018-03-01

    Full Text Available Introduction: The aim of the current study was to evaluate the factor structure of the CArtes- Modèles Individuels de Relations (CA-MIR, a self-report questionnaire designed to tap into the relational strategies of adults that was developed by a French-speaking research group coordinated by Blaise Pierrehumbert. The CA-MIR's particular merit lies in the richness and complexity of the theoretical model underpinning it. However, to date, this model has only been partially reproduced in studies using exploratory analysis and has never been tested via confirmatory factor analysis (CFA.Objective and Method: We thus conducted CFA on data collected from a sample of 979 subjects, recruited using a snowball sampling method during the spring and fall of 2005. To assess if some item multidimensionality was present, we estimated both the independent clusters model (ICM-CFA and a model in which some zero loading restrictions were removed.Results: The results supported the originally proposed structure of the CA-MIR; the large majority of items were good indicators of the expected latent dimensions and only few items showed relevant secondary loadings or loaded in an unexpected factor. The instrument adequately differentiates the three attachment styles, taking into account both past and present experiences of attachment relationships, and providing a rich and complex assessment of multiple features of attachment. In terms of internal consistency, alpha values were satisfactory and comparable to those found in the original Swiss validation study.Conclusions: Our results are of key importance for both research and clinical work, given the lack of valid and easy-to-administer tools for evaluating adult attachment.

  2. The Factor Structure of the CA-MIR as Evaluated Using Confirmatory Factor Analysis.

    Science.gov (United States)

    Molina, Paola; Casonato, Marta; Sala, Maria N; Testa, Silvia

    2018-01-01

    Introduction: The aim of the current study was to evaluate the factor structure of the CArtes- Modèles Individuels de Relations (CA-MIR), a self-report questionnaire designed to tap into the relational strategies of adults that was developed by a French-speaking research group coordinated by Blaise Pierrehumbert. The CA-MIR's particular merit lies in the richness and complexity of the theoretical model underpinning it. However, to date, this model has only been partially reproduced in studies using exploratory analysis and has never been tested via confirmatory factor analysis (CFA). Objective and Method: We thus conducted CFA on data collected from a sample of 979 subjects, recruited using a snowball sampling method during the spring and fall of 2005. To assess if some item multidimensionality was present, we estimated both the independent clusters model (ICM-CFA) and a model in which some zero loading restrictions were removed. Results: The results supported the originally proposed structure of the CA-MIR; the large majority of items were good indicators of the expected latent dimensions and only few items showed relevant secondary loadings or loaded in an unexpected factor. The instrument adequately differentiates the three attachment styles, taking into account both past and present experiences of attachment relationships, and providing a rich and complex assessment of multiple features of attachment. In terms of internal consistency, alpha values were satisfactory and comparable to those found in the original Swiss validation study. Conclusions: Our results are of key importance for both research and clinical work, given the lack of valid and easy-to-administer tools for evaluating adult attachment.

  3. The scientific use of factor analysis in behavioral and life sciences

    National Research Council Canada - National Science Library

    Cattell, Raymond Bernard

    1978-01-01

    ...; the choice of procedures in experimentation; factor interpretation; the relationship of factor analysis to broadened psychometric concepts such as scaling, validity, and reliability, and to higher- strata models...

  4. Risk Factors for Post-stroke Depression: A Meta-analysis.

    Science.gov (United States)

    Shi, Yu; Yang, Dongdong; Zeng, Yanyan; Wu, Wen

    2017-01-01

    Background: Stroke not only impacts patients physically but also economically. Post-stroke depression (PSD), as a common complication of stroke, always obstructs the process of stroke rehabilitation. Accordingly, defining the risk factors associated with PSD has extraordinary importance. Although there have been many studies investigating the risk factors for PSD, the results are inconsistent. Objectives: The objectives of this study were to identify the risk factors for PSD by evidence-based medicine. Data sources: A systematic and comprehensive database search was performed of PubMed, Medline, CENTRAL, EMBASE.com, the Cochrane library and Web of Science for Literature, covering publications from January 1, 1998 to November 19, 2016. Study Selection: Studies on risk factors for PSD were identified, according to inclusion and exclusion criteria. The risk of bias tool, described in the Cochrane Handbook version 5.1.0, was used to assess the quality of each study. Meta-analysis was performed using RevMan 5.3 software. Results: Thirty-six studies were included for review. A history of mental illness was the highest ranking modifiable risk factor; other risk factors for PSD were female gender, age (Social support was a protective factor for PSD. Conclusion: There are many factors that have effects on PSD. The severity of stroke is an important factor in the occurrence of PSD. Mental history is a possible predictor of PSD. Prevention of PSD requires social and family participation.

  5. A Demonstration of the Impact of Outliers on the Decisions about the Number of Factors in Exploratory Factor Analysis

    Science.gov (United States)

    Liu, Yan; Zumbo, Bruno D.; Wu, Amery D.

    2012-01-01

    Previous studies have rarely examined the impact of outliers on the decisions about the number of factors to extract in an exploratory factor analysis. The few studies that have investigated this issue have arrived at contradictory conclusions regarding whether outliers inflated or deflated the number of factors extracted. By systematically…

  6. Proteomics Analysis Reveals Previously Uncharacterized Virulence Factors in Vibrio proteolyticus

    Directory of Open Access Journals (Sweden)

    Ann Ray

    2016-07-01

    Full Text Available Members of the genus Vibrio include many pathogens of humans and marine animals that share genetic information via horizontal gene transfer. Hence, the Vibrio pan-genome carries the potential to establish new pathogenic strains by sharing virulence determinants, many of which have yet to be characterized. Here, we investigated the virulence properties of Vibrio proteolyticus, a Gram-negative marine bacterium previously identified as part of the Vibrio consortium isolated from diseased corals. We found that V. proteolyticus causes actin cytoskeleton rearrangements followed by cell lysis in HeLa cells in a contact-independent manner. In search of the responsible virulence factor involved, we determined the V. proteolyticus secretome. This proteomics approach revealed various putative virulence factors, including active type VI secretion systems and effectors with virulence toxin domains; however, these type VI secretion systems were not responsible for the observed cytotoxic effects. Further examination of the V. proteolyticus secretome led us to hypothesize and subsequently demonstrate that a secreted hemolysin, belonging to a previously uncharacterized clan of the leukocidin superfamily, was the toxin responsible for the V. proteolyticus-mediated cytotoxicity in both HeLa cells and macrophages. Clearly, there remains an armory of yet-to-be-discovered virulence factors in the Vibrio pan-genome that will undoubtedly provide a wealth of knowledge on how a pathogen can manipulate host cells.

  7. Analysis of factors temporarily impacting traffic sign readability

    Directory of Open Access Journals (Sweden)

    Majid Khalilikhah

    2016-10-01

    Full Text Available Traffic sign readability can be affected by the existence of dirt on traffic sign faces. However, among damaged signs, dirty traffic signs are unique since their damage is not permanent and they just can be cleaned instead of replaced. This study aimed to identify the most important factors contributing to traffic sign dirt. To do so, a large number of traffic signs in Utah were measured by deploying a vehicle instrumented with mobile LiDAR imaging and digital photolog technologies. Each individual daytime digital image was inspected for dirt. Location and climate observations obtained from official sources were compiled using ArcGIS throughout the process. To identify contributing factors to traffic sign dirt, the chi-square test was employed. To analyze the data and rank all of the factors based on their importance to the sign dirt, Random forests statistical model was utilized. After analyzing the data, it can be concluded that ground elevation, sign mount height, and air pollution had the highest effect on making traffic signs dirty. The findings of this investigation assist transportation agencies in determining traffic signs with a higher likelihood of sign dirt. In this way, agencies would schedule to clean such traffic signs more frequently.

  8. ANALYSIS AND PARTICULARITIES OF EXTERNAL FACTORS IMPACT ON ECONOMICAL RESULTS OF STRATEGIC OBJECTS PLANNING DEVELOPMENT

    Directory of Open Access Journals (Sweden)

    V. V. Gromov

    2015-01-01

    Full Text Available Summary. The relevance of the scientific problem described in the article are: to determine changes in economic performance, the effectiveness of the sectoral components of the service sector from the effects of environmental factors, which allows them to reach the planned long-term economic performance; management decision-making about structural and organizational changes, implementation of investment projects in the renovation and modernization of fixed capital, the creation of technology, process and product innovations directly connected with the impact analysis of such external factors as economic, socio-cultural, legal, political, innovative. The structure of the article is formed on the basis of presentation of the impact of specific groups of environmental factors on the competitiveness and economic performance of industry components of services based on the technology of strategic planning; complience of logical sequence of presentation of materials, establishing a causal relationship, the interaction of factors and elements of studied problems and objects. Features of external factors impact on the effectiveness of macro-economic entities, sectoral components of services are to the adequacy of the measures and strategies to counter the negative impact on the economic development of the objects of strategic development. Features of status changes and influence of internal factors on local and sectoral socio-economic systems dictate the need for a part of the available resources, the level of efficiency of the use of labor resources, fixed and current assets. The contribution of the author in a scientific perspective of this topic is to carry out a comprehensive analysis of the impact of the main groups of external factors on economic activities of the service sector development; identifying features of internal factors impact on the economic and innovative development of strategic planning objects.

  9. Development and application of spaceflight performance shaping factors for human reliability analysis

    Science.gov (United States)

    Mindock, Jennifer

    The ability of crewmembers to perform various critical functions during spacecraft operations is widely recognized as being essential to mission success. This necessity motivates the desire to better characterize factors that can influence crewmember performance so that those with positive effects can be enhanced, while those with negative impacts can be minimized. Established Human Reliability Analysis methods exist for analyzing performance within the context of myriad terrestrial scenarios. Many of the existing methods have their roots in nuclear power plant operations. While perhaps similar, the factors influencing performance traditionally used in these methods do not take into account the unique conditions encountered during spaceflight. Therefore, this research has identified a tailored set of factors that influence human task performance during space missions. This thesis describes an organizational scheme developed to aid in classifying and communicating the factors across disciplines and organizations. Definitions of identified factors are given for the spaceflight-specific context. A visual display of the factors, called the Contributing Factor Map, is presented and its use as a risk communication tool is discussed. The Bayesian Network is discussed as a quantification approach allowing relationships between factors, in addition to the factor relationships to performance outcomes, to be modeled. A method for determining a network structure was developed for domains such as human spaceflight, in which a global set of data for analysis is not available. This method applied the Analytic Hierarchy Process, and causal latency concepts from the Human Factors Analysis and Classification System in a novel way to guide choices for modeling the dominant set of factors and relationships in a simplified Bayesian Network structure. In addition, an approach for modeling the factors as statistical variables in a Bayesian Network making use of existing design

  10. Adjusting for multiple prognostic factors in the analysis of randomised trials

    Science.gov (United States)

    2013-01-01

    Background When multiple prognostic factors are adjusted for in the analysis of a randomised trial, it is unclear (1) whether it is necessary to account for each of the strata, formed by all combinations of the prognostic factors (stratified analysis), when randomisation has been balanced within each stratum (stratified randomisation), or whether adjusting for the main effects alone will suffice, and (2) the best method of adjustment in terms of type I error rate and power, irrespective of the randomisation method. Methods We used simulation to (1) determine if a stratified analysis is necessary after stratified randomisation, and (2) to compare different methods of adjustment in terms of power and type I error rate. We considered the following methods of analysis: adjusting for covariates in a regression model, adjusting for each stratum using either fixed or random effects, and Mantel-Haenszel or a stratified Cox model depending on outcome. Results Stratified analysis is required after stratified randomisation to maintain correct type I error rates when (a) there are strong interactions between prognostic factors, and (b) there are approximately equal number of patients in each stratum. However, simulations based on real trial data found that type I error rates were unaffected by the method of analysis (stratified vs unstratified), indicating these conditions were not met in real datasets. Comparison of different analysis methods found that with small sample sizes and a binary or time-to-event outcome, most analysis methods lead to either inflated type I error rates or a reduction in power; the lone exception was a stratified analysis using random effects for strata, which gave nominal type I error rates and adequate power. Conclusions It is unlikely that a stratified analysis is necessary after stratified randomisation except in extreme scenarios. Therefore, the method of analysis (accounting for the strata, or adjusting only for the covariates) will not

  11. Biological effects under combined action of radiation and chemical factors

    International Nuclear Information System (INIS)

    Malenchenko, A.F.

    1990-01-01

    The paper considers the manifoild factors of environmental pollution effect upon living organisms and their possible response manifested in additivity, synergism and anthogonism. Consideration is also given to the possible practical measures for improving ecological situation and decreasing the risk of anthropogenesis negative after-effects

  12. Rosenberg's Self-Esteem Scale: Two Factors or Method Effects.

    Science.gov (United States)

    Tomas, Jose M.; Oliver, Amparo

    1999-01-01

    Results of a study with 640 Spanish high school students suggest the existence of a global self-esteem factor underlying responses to Rosenberg's (M. Rosenberg, 1965) Self-Esteem Scale, although the inclusion of method effects is needed to achieve a good model fit. Method effects are associated with item wording. (SLD)

  13. Investigating the effects of different factors on development of open source enterprise resources planning software packages

    Directory of Open Access Journals (Sweden)

    Mehdi Ghorbaninia

    2014-08-01

    Full Text Available This paper investigates the effects of different factors on development of open source enterprise resources planning software packages. The study designs a questionnaire in Likert scale and distributes it among 210 experts in the field of open source software package development. Cronbach alpha has been calculated as 0.93, which is well above the minimum acceptable level. Using Pearson correlation as well as stepwise regression analysis, the study determines three most important factors including fundamental issues, during and after implementation of open source software development. The study also determines a positive and strong relationship between fundamental factors and after implementation factors (r=0.9006, Sig. = 0.000.

  14. Nucleon form factors in dispersively improved chiral effective field theory: Scalar form factor

    Science.gov (United States)

    Alarcón, J. M.; Weiss, C.

    2017-11-01

    We propose a method for calculating the nucleon form factors (FFs) of G -parity-even operators by combining chiral effective field theory (χ EFT ) and dispersion analysis. The FFs are expressed as dispersive integrals over the two-pion cut at t >4 Mπ2 . The spectral functions are obtained from the elastic unitarity condition and expressed as products of the complex π π →N N ¯ partial-wave amplitudes and the timelike pion FF. χ EFT is used to calculate the ratio of the partial-wave amplitudes and the pion FF, which is real and free of π π rescattering in the t channel (N /D method). The rescattering effects are then incorporated by multiplying with the squared modulus of the empirical pion FF. The procedure results in a marked improvement compared to conventional χ EFT calculations of the spectral functions. We apply the method to the nucleon scalar FF and compute the scalar spectral function, the scalar radius, the t -dependent FF, and the Cheng-Dashen discrepancy. Higher-order chiral corrections are estimated through the π N low-energy constants. Results are in excellent agreement with dispersion-theoretical calculations. We elaborate several other interesting aspects of our method. The results show proper scaling behavior in the large-Nc limit of QCD because the χ EFT calculation includes N and Δ intermediate states. The squared modulus of the timelike pion FF required by our method can be extracted from lattice QCD calculations of vacuum correlation functions of the operator at large Euclidean distances. Our method can be applied to the nucleon FFs of other operators of interest, such as the isovector-vector current, the energy-momentum tensor, and twist-2 QCD operators (moments of generalized parton distributions).

  15. Comprehensive analysis of the related factors of early hypothyroidism occurring in patients with Graves' disease after 131I treatment

    International Nuclear Information System (INIS)

    Tan Jian; Wang Peng; Zhang Lijuan; He Yajing; Wang Renfei

    2005-01-01

    Objective: To make a comprehensive analysis of the related factors of early hypothyroidism occurring in patients with Graves' disease after 131 I treatment. Methods: The information of 131 I treated Graves' disease was collected including general data, clinical observation, laboratory data, thyroid function test, etc. Then a retrospective statistical analysis was carried out, using cluster analysis, factor analysis, discriminant analysis, multivariate regression analysis, etc. Results: 1) Cluster analysis and factor analysis showed that among clinical observation such as clinical course, treatment course, patients' state and disease occurrance, the first three factors correlated highly; among laboratory data such as thyrotrophin receptor antibody (TRAb), thyroid-stimulating immunoglobulins (TSI), thyroglobulin antibody (TgAb) and thyroid microsomal antibody (TMAb), both the first two and the last two correlated highly, each two factors had the similar effect. 2) Fsher discriminant analysis showed that among the thyroid weight, the effective half life, the maximum 131 I uptake percentage, total dose of 131 I and the average dose of 131 I per gram of thyroid, the last one had the most predicting value for incidence of early hypothyroidism. 3) Logistic regression analysis showed that among all the related factors of early hypothyroidism occurred after 131 I treated Graves' disease, thyroid weight, average dose of 131 I per gram of thyroid, the maximum 131 I uptake percentage and the level of TSI were effective factors. Conclusions: The occurrence of early hypothyroidism for 131 I-treated Graves' disease is probably affected by many factors. If more factors are taken into consideration before therapy and the theraputic dose is well adjusted accordingly, it can reduce the incidence of early hypothroidism to a certain extent. (authors)

  16. A Retrospective Analysis of Neonatal Encephalocele Predisposing Factors and Outcomes.

    Science.gov (United States)

    Yucetas, Seyho Cem; Uçler, Necati

    2017-01-01

    This study evaluates the predisposing factors and outcomes of surgical management of encephaloceles at our institution. A retrospective analysis of 32 occipital encephaloceles managed operatively at the Neurosurgery Department Clinics of the Faculty of Medicine, Adıyaman University, was performed between 2011 and 2015. Among the study population, 19 mothers had been exposed to TORCH infections (toxoplasma, rubella, cytomegalovirus, herpes simplex virus), 18 were in consanguineous marriages, and 3 had regular prenatal screening. Associated congenital anomalies were common. Eight infants required reoperation, and 9 died during follow-up. The study identified key areas for prevention. Knowledge of the intracranial and associated anomalies can guide management. © 2016 S. Karger AG, Basel.

  17. Confirmatory Factor Analysis Alternative: Free, Accessible CBID Software.

    Science.gov (United States)

    Bott, Marjorie; Karanevich, Alex G; Garrard, Lili; Price, Larry R; Mudaranthakam, Dinesh Pal; Gajewski, Byron

    2018-02-01

    New software that performs Classical and Bayesian Instrument Development (CBID) is reported that seamlessly integrates expert (content validity) and participant data (construct validity) to produce entire reliability estimates with smaller sample requirements. The free CBID software can be accessed through a website and used by clinical investigators in new instrument development. Demonstrations are presented of the three approaches using the CBID software: (a) traditional confirmatory factor analysis (CFA), (b) Bayesian CFA using flat uninformative prior, and (c) Bayesian CFA using content expert data (informative prior). Outcomes of usability testing demonstrate the need to make the user-friendly, free CBID software available to interdisciplinary researchers. CBID has the potential to be a new and expeditious method for instrument development, adding to our current measurement toolbox. This allows for the development of new instruments for measuring determinants of health in smaller diverse populations or populations of rare diseases.

  18. Bayesian analysis of factors associated with fibromyalgia syndrome subjects

    Science.gov (United States)

    Jayawardana, Veroni; Mondal, Sumona; Russek, Leslie

    2015-01-01

    Factors contributing to movement-related fear were assessed by Russek, et al. 2014 for subjects with Fibromyalgia (FM) based on the collected data by a national internet survey of community-based individuals. The study focused on the variables, Activities-Specific Balance Confidence scale (ABC), Primary Care Post-Traumatic Stress Disorder screen (PC-PTSD), Tampa Scale of Kinesiophobia (TSK), a Joint Hypermobility Syndrome screen (JHS), Vertigo Symptom Scale (VSS-SF), Obsessive-Compulsive Personality Disorder (OCPD), Pain, work status and physical activity dependent from the "Revised Fibromyalgia Impact Questionnaire" (FIQR). The study presented in this paper revisits same data with a Bayesian analysis where appropriate priors were introduced for variables selected in the Russek's paper.

  19. Investigation and analysis of aircrew ametropia and related factors

    Directory of Open Access Journals (Sweden)

    Li-Juan Zheng

    2014-10-01

    Full Text Available AIM: To investigate the refractive distribution and analysis risk factors for aircrew ametropia.METHODS: The number of 49 cases with ametropia from 1031 aircrew during May 2013 to May 2014 were reviewed. Various types of refraction composition, age, type, position, time of flight with the subjective assessment of aircrew were analyzed and compared. RESULTS: Of 49 cases, 43 cases(88%were myopia, 6 cases(12%were hypermetropia.,Detection rates were higher in age over 50 years aircrew and flight time more than 3000h. Detection rates were lower in self-conscious symptom heavy aircrew, fighter aircrew and good habit of using eyes. CONCLUSION: The myopia incidence in aircrew with age >50 years and long flight time is higher, than that of fighter pilots and good habit of using eyes. We should pay attention to the increasing late-onset myopia of aviators and habit of using eyes, work intensity and time of using eyes about aircrew.

  20. Human Factors Operability Timeline Analysis to Improve the Processing Flow of the Orion Spacecraft

    Science.gov (United States)

    Stambolian, Damon B.; Schlierf, Roland; Miller, Darcy; Posada, Juan; Haddock, Mike; Haddad, Mike; Tran, Donald; Henderon, Gena; Barth, Tim

    2011-01-01

    This slide presentation reviews the use of Human factors and timeline analysis to have a more efficient and effective processing flow. The solution involved developing a written timeline of events that included each activity within each functional flow block. Each activity had computer animation videos and pictures of the people involved and the hardware. The Human Factors Engineering Analysis Tool (HFEAT) was improved by modifying it to include the timeline of events. The HFEAT was used to define the human factors requirements and design solutions were developed for these requirements. An example of a functional flow block diagram is shown, and a view from one of the animations (i.e., short stack pallet) is shown and explained.

  1. Implementation of confirmatory factor analysis: a measuring model of reading academic achievement

    Directory of Open Access Journals (Sweden)

    Andrés Fernández Aráuz

    2015-12-01

    Full Text Available The aim of this paper is to show the differences between exploratory and confirmatory factor analysis. The results obtained with confirmatory factor analysis show that both education and socioeconomic status of the parents of students, as well as material possessions at home are good indicators to measure the latent variable called Socioeconomic Extraction. Moreover, the enjoyment of reading and diversity of reading are good indicators of measurement for the latent variable Personal Attitude of the student, while the student's attitude towards school, which measure attitudes to educational process as a whole and not specifically to the reading is not a good measure for the latent variable of personal attitude. These results suggest that unobservable factors Socioeconomic Extraction, Reading Strategies and personal attitude could be used to assess the causal hypothesis of the effect of these variables on the educational performance of students in the reading test.

  2. Structural and functional analysis of coral Hypoxia Inducible Factor.

    Science.gov (United States)

    Zoccola, Didier; Morain, Jonas; Pagès, Gilles; Caminiti-Segonds, Natacha; Giuliano, Sandy; Tambutté, Sylvie; Allemand, Denis

    2017-01-01

    Tissues of symbiotic Cnidarians are exposed to wide, rapid and daily variations of oxygen concentration. Indeed, during daytime, intracellular O2 concentration increases due to symbiont photosynthesis, while during night, respiration of both host cells and symbionts leads to intra-tissue hypoxia. The Hypoxia Inducible Factor 1 (HIF-1) is a heterodimeric transcription factor used for maintenance of oxygen homeostasis and adaptation to hypoxia. Here, we carried out a mechanistic study of the response to variations of O2 concentrations of the coral model Stylophora pistillata. In silico analysis showed that homologs of HIF-1 α (SpiHIF-1α) and HIF-1β (SpiHIF-1β) exist in coral. A specific SpiHIF-1 DNA binding on mammalian Hypoxia Response Element (HRE) sequences was shown in extracts from coral exposed to dark conditions. Then, we cloned the coral HIF-1α and β genes and determined their expression and transcriptional activity. Although HIF-1α has an incomplete Oxygen-dependent Degradation Domain (ODD) relative to its human homolog, its protein level is increased under hypoxia when tested in mammalian cells. Moreover, co-transfection of SpiHIF-1α and β in mammalian cells stimulated an artificial promoter containing HRE only in hypoxic conditions. This study shows the strong conservation of molecular mechanisms involved in adaptation to O2 concentration between Cnidarians and Mammals whose ancestors diverged about 1,200-1,500 million years ago.

  3. Analysis of vector boson production within TMD factorization

    Science.gov (United States)

    Scimemi, Ignazio; Vladimirov, Alexey

    2018-02-01

    We present a comprehensive analysis and extraction of the unpolarized transverse momentum dependent (TMD) parton distribution functions, which are fundamental constituents of the TMD factorization theorem. We provide a general review of the theory of TMD distributions, and present a new scheme of scale fixation. This scheme, called the ζ -prescription, allows to minimize the impact of perturbative logarithms in a large range of scales and does not generate undesired power corrections. Within ζ -prescription we consistently include the perturbatively calculable parts up to next-to-next-to-leading order (NNLO), and perform the global fit of the Drell-Yan and Z-boson production, which include the data of E288, Tevatron and LHC experiments. The non-perturbative part of the TMDs are explored checking a variety of models. We support the obtained results by a study of theoretical uncertainties, perturbative convergence, and a dedicated study of the range of applicability of the TMD factorization theorem. The considered non-perturbative models present significant differences in the fitting behavior, which allow us to clearly disfavor most of them. The numerical evaluations are provided by the arTeMiDe code, which is introduced in this work and that can be used for current/future TMD phenomenology.

  4. Physics Metacognition Inventory Part Ii: Confirmatory Factor Analysis and Rasch Analysis

    Science.gov (United States)

    Taasoobshirazi, Gita; Bailey, MarLynn; Farley, John

    2015-01-01

    The Physics Metacognition Inventory was developed to measure physics students' metacognition for problem solving. In one of our earlier studies, an exploratory factor analysis provided evidence of preliminary construct validity, revealing six components of students' metacognition when solving physics problems including knowledge of cognition,…

  5. Effect of neurotrophic factor, MDP, on rats’ nerve regeneration

    Directory of Open Access Journals (Sweden)

    A.A. Fornazari

    2011-04-01

    Full Text Available Our objective was to determine the immune-modulating effects of the neurotrophic factor N-acetylmuramyl-L-alanyl-D-isoglutamine (MDP on median nerve regeneration in rats. We used male Wistar rats (120-140 days of age, weighing 250-332 g and compared the results of three different techniques of nerve repair: 1 epineural neurorrhaphy using sutures alone (group S - 10 rats, 2 epineural neurorrhaphy using sutures plus fibrin tissue adhesive (FTA; group SF - 20 rats, and 3 sutures plus FTA, with MDP added to the FTA (group SFM - 20 rats. Functional assessments using the grasp test were performed weekly for 12 weeks to identify recovery of flexor muscle function in the fingers secondary to median nerve regeneration. Histological analysis was also utilized. The total number and diameter of myelinated fibers were determined in each proximal and distal nerve segment. Two indices, reported as percentage, were calculated from these parameters, namely, the regeneration index and the diameter change index. By the 8th week, superiority of group SFM over group S became apparent in the grasping test (P = 0.005. By the 12th week, rats that had received MDP were superior in the grasping test compared to both group S (P < 0.001 and group SF (P = 0.001. Moreover, group SF was better in the grasping test than group S (P = 0.014. However, no significant differences between groups were identified by histological analysis. In the present study, rats that had received MDP obtained better function, in the absence of any significant histological differences.

  6. Analysis of Factors Associated With Rhytidectomy Malpractice Litigation Cases.

    Science.gov (United States)

    Kandinov, Aron; Mutchnick, Sean; Nangia, Vaibhuv; Svider, Peter F; Zuliani, Giancarlo F; Shkoukani, Mahdi A; Carron, Michael A

    2017-07-01

    This study investigates the financial burden of medical malpractice litigation associated with rhytidectomies, as well as factors that contribute to litigation and poor defendant outcomes, which can help guide physician practices. To comprehensively evaluate rhytidectomy malpractice litigation. Jury verdict and settlement reports related to rhytidectomy malpractice litigations were obtained using the Westlaw Next database. Use of medical malpractice in conjunction with several terms for rhytidectomy, to account for the various procedure names associated with the procedure, yielded 155 court cases. Duplicate and nonrelevant cases were removed, and 89 cases were included in the analysis and reviewed for outcomes, defendant specialty, payments, and other allegations raised in proceedings. Data were collected from November 21, 2015, to December 25, 2015. Data analysis took place from December 25, 2015, to January 20, 2016. A total of 89 cases met our inclusion criteria. Most plaintiffs were female (81 of 88 with known sex [92%]), and patient age ranged from 40 to 76 years (median age, 56 years). Fifty-three (60%) were resolved in the defendant's favor, while the remaining 36 cases (40%) were resolved with either a settlement or a plaintiff verdict payment. The mean payment was $1.4 million. A greater proportion of cases involving plastic surgeon defendants were resolved with payment compared with cases involving defendants with ear, nose, and throat specialty (15 [36%] vs 4 [24%]). The most common allegations raised in litigation were intraoperative negligence (61 [69%]), poor cosmesis or disfigurement (57 [64%]), inadequate informed consent (30 [34%]), additional procedures required (14 [16%]), postoperative negligence (12 [14%]), and facial nerve injury (10 [11%]). Six cases (7%) involved alleged negligence surrounding a "lifestyle-lift" procedure, which tightens or oversews the superficial muscular aponeurosis system layer. In this study, although most cases of

  7. Big Hitters: Important Factors Characterizing Team Effectiveness in Professional Cricket

    OpenAIRE

    Webster, Leonie V.; Hardy, James; Hardy, Lew

    2017-01-01

    While organizational psychology attests to the multidimensional nature of team effectiveness, insight regarding the most important factors contributing to the effectiveness of sports teams, especially elite teams, is lacking. An abductive method of qualitative enquiry was adopted to capture participants' construal of team effectiveness, drawing on the extant literature in both sport and organizational psychology. Semi-structured interviews were conducted with 21 players, coaches, and psycholo...

  8. Exploratory factor analysis and reliability analysis with missing data: A simple method for SPSS users

    Directory of Open Access Journals (Sweden)

    Bruce Weaver

    2014-09-01

    Full Text Available Missing data is a frequent problem for researchers conducting exploratory factor analysis (EFA or reliability analysis. The SPSS FACTOR procedure allows users to select listwise deletion, pairwise deletion or mean substitution as a method for dealing with missing data. The shortcomings of these methods are well-known. Graham (2009 argues that a much better way to deal with missing data in this context is to use a matrix of expectation maximization (EM covariances(or correlations as input for the analysis. SPSS users who have the Missing Values Analysis add-on module can obtain vectors ofEM means and standard deviations plus EM correlation and covariance matrices via the MVA procedure. But unfortunately, MVA has no /MATRIX subcommand, and therefore cannot write the EM correlations directly to a matrix dataset of the type needed as input to the FACTOR and RELIABILITY procedures. We describe two macros that (in conjunction with an intervening MVA command carry out the data management steps needed to create two matrix datasets, one containing EM correlations and the other EM covariances. Either of those matrix datasets can then be used asinput to the FACTOR procedure, and the EM correlations can also be used as input to RELIABILITY. We provide an example that illustrates the use of the two macros to generate the matrix datasets and how to use those datasets as input to the FACTOR and RELIABILITY procedures. We hope that this simple method for handling missing data will prove useful to both students andresearchers who are conducting EFA or reliability analysis.

  9. Identifying patients with therapy-resistant depression by using factor analysis

    DEFF Research Database (Denmark)

    Andreasson, K; Liest, V; Lunde, M

    2010-01-01

    INTRODUCTION: Attempts to identify the factor structure in patients with treatment-resistant depression have been very limited. METHODS: Principal component analysis was performed using the baseline datasets from 3 add-on studies [2 with repetitive transcranial magnetic stimulation and one...... with transcranial pulsed electromagnetic fields (T-PEMF)], in which the relative effect as percentage of improvement during the treatment period was analysed. RESULTS: We identified 2 major factors, the first of which was a general factor. The second was a dual factor consisting of a depression subscale comprising...... the negatively loaded items (covering the pure depression items) and a treatment resistant subscale comprising the positively loaded items (covering lassitude, concentration difficulties and sleep problems). These 2 dual subscales were used as outcome measures. Improvement on the treatment resistant subscale...

  10. Proteomics Analysis Reveals Previously Uncharacterized Virulence Factors in Vibrio proteolyticus.

    Science.gov (United States)

    Ray, Ann; Kinch, Lisa N; de Souza Santos, Marcela; Grishin, Nick V; Orth, Kim; Salomon, Dor

    2016-07-26

    Members of the genus Vibrio include many pathogens of humans and marine animals that share genetic information via horizontal gene transfer. Hence, the Vibrio pan-genome carries the potential to establish new pathogenic strains by sharing virulence determinants, many of which have yet to be characterized. Here, we investigated the virulence properties of Vibrio proteolyticus, a Gram-negative marine bacterium previously identified as part of the Vibrio consortium isolated from diseased corals. We found that V. proteolyticus causes actin cytoskeleton rearrangements followed by cell lysis in HeLa cells in a contact-independent manner. In search of the responsible virulence factor involved, we determined the V. proteolyticus secretome. This proteomics approach revealed various putative virulence factors, including active type VI secretion systems and effectors with virulence toxin domains; however, these type VI secretion systems were not responsible for the observed cytotoxic effects. Further examination of the V. proteolyticus secretome led us to hypothesize and subsequently demonstrate that a secreted hemolysin, belonging to a previously uncharacterized clan of the leukocidin superfamily, was the toxin responsible for the V. proteolyticus-mediated cytotoxicity in both HeLa cells and macrophages. Clearly, there remains an armory of yet-to-be-discovered virulence factors in the Vibrio pan-genome that will undoubtedly provide a wealth of knowledge on how a pathogen can manipulate host cells. The pan-genome of the genus Vibrio is a potential reservoir of unidentified toxins that can provide insight into how members of this genus have successfully risen as emerging pathogens worldwide. We focused on Vibrio proteolyticus, a marine bacterium that was previously implicated in virulence toward marine animals, and characterized its interaction with eukaryotic cells. We found that this bacterium causes actin cytoskeleton rearrangements and leads to cell death. Using a

  11. Weightlifter Lumbar Physiology Health Influence Factor Analysis of Sports Medicine

    Science.gov (United States)

    Zhang, Xiangyang

    2015-01-01

    Chinese women's weightlifting project has been in the advanced world level, suggests that the Chinese coaches and athletes have many successful experience in the weight lifting training. Little weight lifting belongs to high-risk sports, however, to the lumbar spine injury, some young good athletes often due to lumbar trauma had to retire, and the national investment and athletes toil is regret things. This article from the perspective of sports medicine, weightlifting athletes training situation analysis and put forward Suggestions, aimed at avoiding lumbar injury, guarantee the health of athletes. In this paper, first of all to 50 professional women's weightlifting athletes doing investigation, found that 82% of the athletes suffer from lumbar disease symptoms, the reason is mainly composed of lumbar strain, intensity is too large, motion error caused by three factors. From the Angle of sports medicine and combined with the characteristics of the structure of human body skeleton athletes lumbar structural mechanics analysis, find out the lumbar force's two biggest technical movement, study, and regulate the action standard, so as to minimize lumbar force, for athletes to contribute to the health of the lumbar spine. PMID:26981162

  12. Effect of Situational Factors and Product on Consumer Buying Decision In Hypermart at Manado City

    Directory of Open Access Journals (Sweden)

    Nova Christian Mamuaya

    2016-06-01

    Full Text Available This research aims at (1 understanding and analyzing the effect of situational and non situational (produc factors, simultaneously or partially, on the consumer buying decision in hypermart at Manado City, (2 understanding and analyzing factor with dominant effect on consumer buying decision in hypermart at Manado City. The observed situational and non situational (product factors through Belk Theory. Sampling has been developed through accidental sampling, resulting in 60 respondents. Data  have  been  collected  by main instrument of questionnaire, 5-point Likert Scale to measure the respondents’ answer, data analysis using multiple linier regression. Results of research indicate that situational factor and product have significant effect simultaneously or partially on consumer buying decisions in hypermart at Manado City and product assortment has dominant effect on consumer buying decision in hypermart at Manado City.

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

    NARCIS (Netherlands)

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

    2012-01-01

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

  14. Factors contributing to, and effects of, teenage pregnancy in Juba

    OpenAIRE

    Gwido Vincent; Fekadu Mazengia Alemu

    2016-01-01

    Objective: To explore the factors contributing to, and effecting, pregnancy among teenagers in Juba. Methods: This descriptive cross-sectional study was conducted in Juba Teaching Hospital among 50 randomly sampled pregnant teenagers in 2015. Results: The factors contributing to teenage pregnancy included: lack of school fees, lack of parental care, communication and supervision, poverty, peer pressure, non-use of contraceptives, desire for a child, forced marriage, low educational le...

  15. Is gestational diabetes mellitus an independent risk factor for macrosomia: a meta-analysis?

    Science.gov (United States)

    He, Xiu-Jie; Qin, Feng-Yun; Hu, Chuan-Lai; Zhu, Meng; Tian, Chao-Qing; Li, Li

    2015-04-01

    The aim of our meta-analysis was to explore whether gestational diabetes mellitus (GDM) is an independent risk factor for macrosomia or not. Three databases were systematically reviewed and reference lists of relevant articles were checked. Meta-analysis of published epidemiological studies (cohort and case-control studies) comparing whether GDM was associated with macrosomia. Calculations of pooled estimates were conducted in random-effect models. Heterogeneity was tested by using Chi square test and I (2) statistics. Publication bias was estimated from Egger's test (linear regression method) and Begg's test (rank correlation method). Twelve studies met the inclusion criteria, including five cohort studies and seven case-control studies. The meta-analysis showed that GDM was associated with macrosomia independent of other risk factors. The adjusted odds ratio was 1.71, 95% CI (1.52, 1.94) in random-effect model, stratified analyses showed no differences regarding different study design, quality grade, definition of macrosomia, location of study and number of confounding factors adjusted for. There was no indication of a publication bias either from the result of Egger's test or Begg's test. Our findings indicate that GDM should be considered as an independent risk factor for newborn macrosomia. To adequately evaluate the clinical evolution of GDM need to be carefully assessed and monitored.

  16. 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

    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 (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.

  17. Pressure and protective factors influencing nursing students' self-esteem: A content analysis study.

    Science.gov (United States)

    Valizadeh, Leila; Zamanzadeh, Vahid; Gargari, Rahim Badri; Ghahramanian, Akram; Tabrizi, Faranak Jabbarzadeh; Keogh, Brian

    2016-01-01

    A review of the literature shows that the range of self-esteem in nursing students ranges from normal to low. It is hypothesized that different contextual factors could affect levels of self-esteem. The main aim of this study was to explore these factors from the viewpoint of Iranian nursing students using a qualitative approach. A qualitative content analysis study. Faculty of Nursing and Midwifery, 2014. Fourteen student nurses and two qualified nurses. This study has been applied to various depths of interpretation. Semi-structured interviews were used to collect the data. Fourteen student nurses and two qualified nurses were interviewed. Two main themes of the "pressure factors" with subthemes: low self-efficacy, sense of triviality, ineffective instructor-student interaction, low self-confidence and "protective factors" with subthemes: knowledge acquisition, mirror of valuability, professional autonomy, religious beliefs, and choosing the nursing field with interest was extracted in this study. Results showed that these themes have interaction with each other like a seesaw, as pressure factors decrease, the effect of protective factors on the self-esteem are increased. Nurse educators not only should try to improve the students' skills and knowledge, but should also try to enhance the protective factors and decrease pressure factors by enhancing the nursing students' feeling of being important, using participatory teaching methods, considering students' feedback, and attempting to improve facilities at the clinics are also recommended. Copyright © 2015. Published by Elsevier Ltd.

  18. Modified Models of Bentler and Woodward Model of Confirmatory Factor Analysis to Analysis of Covariance

    OpenAIRE

    Tan, Şeref

    2016-01-01

    Analysis of covariance is a technique used to fix effects of covariates on dependent variable to test treatment effect in experimental studies. In analysis of covariance it is assumed that covariates are measured perfectly reliable. The assumption of perfectly reliable covariates is almost impossible to meet. In reality, it is almost impossible to measure a covariate without error. In this study, a structural model suggested by Bentler and Woodward (1979) was modified both observed and latent...

  19. A meta-analysis of peripheral blood nerve growth factor levels in patients with schizophrenia.

    Science.gov (United States)

    Qin, X-Y; Wu, H-T; Cao, C; Loh, Y P; Cheng, Y

    2017-09-01

    Neurotrophins particularly brain-derived neurotrophic factor (BDNF) and nerve growth factor (NGF) are crucial modulators in the neurodevelopment and maintenance of central and peripheral nervous systems. Neurotrophin hypothesis of schizophrenia (SCZ) postulated that the changes in the brains of SCZ patients are the result of disturbances of developing processes involving neurotrophic factors. This hypothesis was mainly supported by the abnormal regulation of BDNF in SCZ, especially the decreased peripheral blood BDNF levels in SCZ patients validated by several meta-analyses. However, the regulation of NGF in SCZ remains unclear because of the inconsistent findings from the clinical studies. Therefore, we undertook, to the best of our knowledge, the first systematic review with a meta-analysis to quantitatively summarize the peripheral blood NGF data in SCZ patients compared with healthy control (HC) subjects. A systematic search of Pubmed, PsycINFO and Web of Science identified 13 articles encompassing a sample of 1693 individuals for the meta-analysis. Random-effects meta-analysis showed that patients with SCZ had significantly decreased peripheral blood levels of NGF when compared with the HC subjects (Hedges's g=-0.633, 95% confidence interval (CI)=-0.948 to -0.318, Panalysis, whereas disease severity might be a confounding factor for the meta-analysis. These results demonstrated that patients with SCZ are accompanied by the decreased peripheral blood NGF levels, strengthening the clinical evidence of an abnormal neurotrophin profile in the patients with SCZ.

  20. Exercise protects the cardiovascular system: effects beyond traditional risk factors.

    Science.gov (United States)

    Joyner, Michael J; Green, Daniel J

    2009-12-01

    In humans, exercise training and moderate to high levels of physical activity are protective against cardiovascular disease. In fact they are 40% more protective than predicted based on the changes in traditional risk factors (blood lipids, hypertension, diabetes etc.) that they cause. In this review, we highlight the positive effects of exercise on endothelial function and the autonomic nervous system. We also ask if these effects alone, or in combination, might explain the protective effects of exercise against cardiovascular disease that appear to be independent of traditional risk factor modification. Our goal is to use selected data from our own work and that of others to stimulate debate on the nature and cause of the 'risk factor gap' associated with exercise and physical activity.