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Sample records for factor analysis cfa

  1. Ideal, nonideal, and no-marker variables: The confirmatory factor analysis (CFA) marker technique works when it matters.

    Science.gov (United States)

    Williams, Larry J; O'Boyle, Ernest H

    2015-09-01

    A persistent concern in the management and applied psychology literature is the effect of common method variance on observed relations among variables. Recent work (i.e., Richardson, Simmering, & Sturman, 2009) evaluated 3 analytical approaches to controlling for common method variance, including the confirmatory factor analysis (CFA) marker technique. Their findings indicated significant problems with this technique, especially with nonideal marker variables (those with theoretical relations with substantive variables). Based on their simulation results, Richardson et al. concluded that not correcting for method variance provides more accurate estimates than using the CFA marker technique. We reexamined the effects of using marker variables in a simulation study and found the degree of error in estimates of a substantive factor correlation was relatively small in most cases, and much smaller than error associated with making no correction. Further, in instances in which the error was large, the correlations between the marker and substantive scales were higher than that found in organizational research with marker variables. We conclude that in most practical settings, the CFA marker technique yields parameter estimates close to their true values, and the criticisms made by Richardson et al. are overstated. (c) 2015 APA, all rights reserved).

  2. Multiepitope fusion antigen induces broadly protective antibodies that prevent adherence of Escherichia coli strains expressing colonization factor antigen I (CFA/I), CFA/II, and CFA/IV.

    Science.gov (United States)

    Ruan, Xiaosai; Knudsen, David E; Wollenberg, Katie M; Sack, David A; Zhang, Weiping

    2014-02-01

    Diarrhea is the second leading cause of death in children younger than 5 years and continues to be a major threat to global health. Enterotoxigenic Escherichia coli (ETEC) strains are the most common bacteria causing diarrhea in developing countries. ETEC strains are able to attach to host small intestinal epithelial cells by using bacterial colonization factor antigen (CFA) adhesins. This attachment helps to initiate the diarrheal disease. Vaccines that induce antiadhesin immunity to block adherence of ETEC strains that express immunologically heterogeneous CFA adhesins are expected to protect against ETEC diarrhea. In this study, we created a CFA multiepitope fusion antigen (MEFA) carrying representative epitopes of CFA/I, CFA/II (CS1, CS2, and CS3), and CFA/IV (CS4, CS5, and CS6), examined its immunogenicity in mice, and assessed the potential of this MEFA as an antiadhesin vaccine against ETEC. Mice intraperitoneally immunized with this CFA MEFA exhibited no adverse effects and developed immune responses to CFA/I, CFA/II, and CFA/IV adhesins. Moreover, after incubation with serum of the immunized mice, ETEC or E. coli strains expressing CFA/I, CFA/II, or CFA/IV adhesins were significantly inhibited in adherence to Caco-2 cells. Our results indicated this CFA MEFA elicited antibodies that not only cross-reacted to CFA/I, CFA/II and CFA/IV adhesins but also broadly inhibited adherence of E. coli strains expressing these seven adhesins and suggested that this CFA MEFA could be a candidate to induce broad-spectrum antiadhesin protection against ETEC diarrhea. Additionally, this antigen construction approach (creating an MEFA) may be generally used in vaccine development against heterogenic pathogens.

  3. CFA2: a Context-Free Approach to Control-Flow Analysis

    CERN Document Server

    Vardoulakis, Dimitrios

    2011-01-01

    In a functional language, the dominant control-flow mechanism is function call and return. Most higher-order flow analyses, including k-CFA, do not handle call and return well: they remember only a bounded number of pending calls because they approximate programs with control-flow graphs. Call/return mismatch introduces precision-degrading spurious control-flow paths and increases the analysis time. We describe CFA2, the first flow analysis with precise call/return matching in the presence of higher-order functions and tail calls. We formulate CFA2 as an abstract interpretation of programs in continuation-passing style and describe a sound and complete summarization algorithm for our abstract semantics. A preliminary evaluation shows that CFA2 gives more accurate data-flow information than 0CFA and 1CFA.

  4. EFA Within a CFA Context

    OpenAIRE

    Phil Ender

    2012-01-01

    As the title implies, EFA within a CFA framework combines aspects of both EFA and CFA. It uses CFA to produce a factor solution that is close to an EFA solution while providing features typically found in CFA, such as, standard errors, statistical tests and modification indices. The presentation includes an example using the -sem- command introduced in Stata 12.

  5. Dimensionality Analysis of the Thought Suppression Inventory: Combining EFA, MSA, and CFA.

    Science.gov (United States)

    Wismeijer, Andreas A J

    2012-03-01

    The Thought Suppression Inventory (TSI; Rassin, European Journal of Personality 17: 285-298, 2003) was designed to measure thought intrusion, thought suppression and successful thought suppression. Given the importance to distinguish between these three aspects of thought control, the aim of this study was to scrutinize the dimensionality of the TSI. In a sample of 333 Dutch senior citizins, we examined (1) the dimensionality of the TSI using various procedures such as PAF, Mokken scale analysis (MSA) and CFA, and (2) the scale properties of the TSI. PAF favored a two factor solution, however, MSA and CFA suggested that three dimensions most adequately capture the structure of the TSI. Although all scales obtained at least medium scalability coefficients, several items were identified that are psychometrically unsound and may benefit from rewording or replacement. The findings suggest that the TSI is a three-dimensional questionnaire as originally proposed by Rassin (European Journal of Personality 17: 285-298, 2003) measuring thought intrusion, thought suppression, and successful thought suppression.

  6. Multiepitope Fusion Antigen Induces Broadly Protective Antibodies That Prevent Adherence of Escherichia coli Strains Expressing Colonization Factor Antigen I (CFA/I), CFA/II, and CFA/IV

    OpenAIRE

    Ruan, Xiaosai; Knudsen, David E.; Wollenberg, Katie M.; Sack, David A.; Zhang, Weiping

    2014-01-01

    Diarrhea is the second leading cause of death in children younger than 5 years and continues to be a major threat to global health. Enterotoxigenic Escherichia coli (ETEC) strains are the most common bacteria causing diarrhea in developing countries. ETEC strains are able to attach to host small intestinal epithelial cells by using bacterial colonization factor antigen (CFA) adhesins. This attachment helps to initiate the diarrheal disease. Vaccines that induce antiadhesin immunity to block a...

  7. Preliminary X-ray diffraction analysis of CfaA, a molecular chaperone essential for the assembly of CFA/I fimbriae of human enterotoxigenic Escherichia coli.

    Science.gov (United States)

    Bao, Rui; Esser, Lothar; Poole, Steven; McVeigh, Annette; Chen, Yu Xing; Savarino, Stephen J; Xia, Di

    2014-02-01

    Understanding of pilus bioassembly in Gram-negative bacteria stems mainly from studies of P pili and type 1 fimbriae of uropathogenic Escherichia coli, which are mediated by the classic chaperone-usher pathway (CUP). However, CFA/I fimbriae, a class 5 fimbria and intestinal colonization factor for enterotoxigenic E. coli (ETEC), are proposed to assemble via the alternate chaperone pathway (ACP). Both CUP and ACP fimbrial bioassembly pathways require the function of a periplasmic chaperone, but their corresponding proteins share very low similarity in primary sequence. Here, the crystallization of the CFA/I periplasmic chaperone CfaA by the hanging-drop vapor-diffusion method is reported. X-ray diffraction data sets were collected from a native CfaA crystal to 2 Å resolution and to 1.8 and 2.8 Å resolution, respectively, from a lead and a platinum derivative. These crystals displayed the symmetry of space group C2, with unit-cell parameters a = 103.6, b = 28.68, c = 90.60 Å, β = 119.7°. Initial phases were derived from multiple isomorphous replacement with anomalous scattering experiments using the data from the platinum and lead derivatives. This resulted in an interpretable electron-density map showing one CfaA molecule in an asymmetric unit. Sequence assignments were aided by anomalous signals from the heavy-atom derivatives. Refinement of the atomic model of CfaA is ongoing, which is expected to further understanding of the essential aspects and allowable variations in tertiary structure of the greater family of chaperones involved in chaperone-usher mediated bioassembly.

  8. Oral Escherichia coli Colonization Factor Antigen I (CFA/I) Fimbriae Ameliorate Arthritis via IL-35, not IL-27

    Science.gov (United States)

    Kochetkova, Irina; Thornburg, Theresa; Callis, Gayle; Holderness, Kathryn; Maddaloni, Massimo; Pascual, David W.

    2014-01-01

    A Salmonella therapeutic expressing enterotoxigenic E. coli colonization factor antigen I (CFA/I) fimbriae protects against collagen-induced arthritis (CIA) by eliciting two regulatory T cell (Treg) subsets: TGF-β-producing Foxp3−CD39+CD4+ and IL-10-producing Foxp3+CD39+CD4+ T cells. However, it is unclear if CFA/I fimbriae alone are protective, and if other regulatory cytokines are involved especially in the context for the EBI3-sharing cytokines, Treg-derived IL-35 and APC-derived IL-27, both capable of suppressing Th17 cells and regulating autoimmune diseases. Subsequent evaluation revealed that a single oral dose of purified, soluble CFA/I fimbriae protected against CIA as effectively as Salmonella-CFA/I, and found Foxp3+CD39+CD4+ T cells as the source of secreted IL-35, whereas IL-27 production by CD11c+ cells was inhibited. Inquiring into their relevance, CFA/I fimbriae-treated IL-27 receptor-deficient (WSX-1−/−) mice were equally protected against CIA as wild-type mice suggesting a limited role for IL-27. In contrast, CFA/I fimbriae-mediated protection was abated in EBI3−/− mice accompanied by the loss of TGF-β- and IL-10-producing Tregs. Adoptive transfer of B6 CD39+CD4+ T cells to EBI3−/− mice with concurrent CFA/I plus IL-35 treatment effectively stimulated Tregs suppressing proinflammatory CII-specific Th cells. Opposingly, recipients co-transferred with B6 and EBI3−/− CD39+CD4+ T cells and treated with CFA/I plus IL-35 failed in protecting mice implicating the importance for endogenous IL-35 to confer CFA/I-mediated protection. Thus, CFA/I fimbriae stimulate IL-35 required for the co-induction of TGF-β and IL-10. PMID:24337375

  9. Factor Structure of the Student-Teacher Relationship Scale for Norwegian School-Age Children Explored with Confirmatory Factor Analysis

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    Drugli, May Britt; Hjemdal, Odin

    2013-01-01

    The validity of the Student-Teacher Relationship Scale (STRS) was examined in a national sample of 863 Norwegian schoolchildren in grades 1-7 (aged 6-13). The original factor structure of the STRS was tested by confirmatory factor analysis (CFA). The CFA results did not support the original three-factor structure of the STRS. Subsequent CFA of the…

  10. Person-centered methods configural frequency analysis (CFA) and other methods for the analysis of contingency tables

    CERN Document Server

    Stemmler, Mark

    2014-01-01

    This book takes an easy-to-understand look at the statistical approach called the person-centered method. Instead of analyzing means, variances and covariances of scale scores as in the common variable-centered approach, the person-centered approach analyzes persons or objects grouped according to their characteristic patterns or configurations in contingency tables. The main focus of the book will be on Configural Frequency Analysis (CFA; Lienert and Krauth, 1975) which is a statistical method that looks for over and under-frequented cells or patterns. Over frequented means that the observations in this cell or configuration are observed more often than expected, under-frequented means that this cell or configuration is observed less often than expected. In CFA a pattern or configuration that contains more observed cases than expected is called a type; similarly, a pattern or configuration that is less observed than expected are called an antitype. CFA is similar to log-linear modeling. In log-linear modelin...

  11. Construction and immunogenic properties of a chimeric protein comprising CfaE, CfaB and LTB against Enterotoxigenic Escherichia coli.

    Science.gov (United States)

    Gheibi Hayat, Seyed-Mohammad; Mousavi Gargari, Seyed-Latif; Nazarian, Shahram

    2016-11-01

    ETEC (Enterotoxigenic Escherichia coli) is a major cause of diarrhea in developing countries and children. ETEC has two virulence factors including colonization factors antigen (CFA) and labile enterotoxins (LTs). CFA/I consists the major pilin subunit CfaB and a minor adhesive subunit, CfaE. In this study a tripartite fusion protein containing CfaB, CfaE and LTB was designed. In silico analysis of the tertiary structure of the chimeric protein showed a protein with three main domains linked together with linkers. Linear and conformational B-cell epitopes were identified. A chimera consisting cfaB, cfaE and ltB(BET)was then synthesized with E. coli codon bias in pUC57 and sub cloned into pET32 vector. Recombinant protein was expressed and purified by affinity chromatography and confirmed by western blotting. Mice were immunized with recombinant protein and the antibody titer and specificity of the sera were analyzed by ELISA. The efficiency of the immune sera against ETEC was evaluated by binding assay and GM1-ELISA. VaxiJen analysis of the protein showed high antigenicity. Post-immune sera contained high titers of anti-BET IgG. Pretreatment of ETEC cells with sera from immunized mice decreased their ability to adhere to cells of the human colon adenocarcinoma cell line HT29.

  12. Validating the cross-cultural factor structure and invariance property of the Insomnia Severity Index: evidence based on ordinal EFA and CFA.

    Science.gov (United States)

    Chen, Po-Yi; Yang, Chien-Ming; Morin, Charles M

    2015-05-01

    The purpose of this study is to examine the factor structure of the Insomnia Severity Index (ISI) across samples recruited from different countries. We tried to identify the most appropriate factor model for the ISI and further examined the measurement invariance property of the ISI across samples from different countries. Our analyses included one data set collected from a Taiwanese sample and two data sets obtained from samples in Hong Kong and Canada. The data set collected in Taiwan was analyzed with ordinal exploratory factor analysis (EFA) to obtain the appropriate factor model for the ISI. After that, we conducted a series of confirmatory factor analyses (CFAs), which is a special case of the structural equation model (SEM) that concerns the parameters in the measurement model, to the statistics collected in Canada and Hong Kong. The purposes of these CFA were to cross-validate the result obtained from EFA and further examine the cross-cultural measurement invariance of the ISI. The three-factor model outperforms other models in terms of global fit indices in Taiwan's population. Its external validity is also supported by confirmatory factor analyses. Furthermore, the measurement invariance analyses show that the strong invariance property between the samples from different cultures holds, providing evidence that the ISI results obtained in different cultures are comparable. The factorial validity of the ISI is stable in different populations. More importantly, its invariance property across cultures suggests that the ISI is a valid measure of the insomnia severity construct across countries. Copyright © 2014 Elsevier B.V. All rights reserved.

  13. The Truncated Gene cfaD′ Positively Regulates CFA/Ⅰ Expression of Enterotoxigenic Escherichia coli

    Institute of Scientific and Technical Information of China (English)

    齐小保; 徐建国

    2004-01-01

    The gene cluster cfaABCED′ of enterotoxigenic Escherichia coli, encoding the fimbriae which is called colonization factor antigen Ⅰ (CFA/Ⅰ), located on a plasmid. It is positively regulated by cfaR, a member of the AraC family, and the cfaD′ gene region, which is located downstream of cfaE and is homologous to cfaR, had been described as a truncated cryptic gene. In the present study we observed that the CFA/Ⅰ fimbriae subunit, cfaB, was expressed in lower amount by the cfoABCED′ clone pNTP513 in host E. coli HB101. The expression of CFA/Ⅰ diminished by deletion of cfaD′ gene region from pNTP513, and was restored by acquisition of cfaD′ in trans. Furthermore, CFA/Ⅰ expression by cfaD′ deletion mutant, the cfaABCE clone, was remarkably increased by the presence of CFA/Ⅰ in trans in a topoisomerase A deficient strain of E. coli DM800. These data suggest that cfaD′ region is a functional region of gene, that regulates the CFA/Ⅰ expression with cfaR by unknown mechanism.

  14. CfaE tip mutations in enterotoxigenic Escherichia coli CFA/I fimbriae define critical human intestinal binding sites.

    Science.gov (United States)

    Baker, K K; Levine, M M; Morison, J; Phillips, A; Barry, E M

    2009-05-01

    Enterotoxigenic Escherichia coli (ETEC) use colonization factors to attach to the human intestinal mucosa, followed by enterotoxin expression that induces net secretion and diarrhoeal illness. ETEC strain H10407 expresses CFA/I fimbriae, which are composed of multiple CfaB structural subunits and a CfaE tip subunit. Currently, the contribution of these individual fimbrial subunits in intestinal binding remains incompletely defined. To identify the role of CfaE in attachment in the native ETEC background, an R181A single-amino-acid substitution was introduced by recombination into the H10407 genome. The substitution of R181A eliminated haemagglutination and binding of intestinal mucosa biopsies in in vitro organ culture assays, without loss of CFA/I fimbriae expression. Wild-type in trans plasmid-expressed cfaE restored the binding phenotype. In contrast, in trans expression of cfaE containing amino acid 181 substitutions with similar amino acids, lysine, methionine and glutamine did not restore the binding phenotype, indicating that the loss of the binding phenotype was due to localized areas of epitope disruption. R181 appears to have an irreplaceable role in the formation of a receptor-binding feature on CFA/I fimbriae. The results specifically indicate that the CfaE tip protein is a required binding factor in CFA/I-mediated ETEC colonization, making it a potentially important vaccine antigen. © 2009 Blackwell Publishing Ltd.

  15. Assessing Model Fit: Caveats and Recommendations for Confirmatory Factor Analysis and Exploratory Structural Equation Modeling

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    Perry, John L.; Nicholls, Adam R.; Clough, Peter J.; Crust, Lee

    2015-01-01

    Despite the limitations of overgeneralizing cutoff values for confirmatory factor analysis (CFA; e.g., Marsh, Hau, & Wen, 2004), they are still often employed as golden rules for assessing factorial validity in sport and exercise psychology. The purpose of this study was to investigate the appropriateness of using the CFA approach with these…

  16. Cloning, expression, purification, crystallization and X-ray crystallographic analysis of CofB, the minor pilin subunit of CFA/III from human enterotoxigenic Escherichia coli.

    Science.gov (United States)

    Kawahara, Kazuki; Oki, Hiroya; Fukakusa, Shunsuke; Maruno, Takahiro; Kobayashi, Yuji; Motooka, Daisuke; Taniguchi, Tooru; Honda, Takeshi; Iida, Tetsuya; Nakamura, Shota; Ohkubo, Tadayasu

    2015-06-01

    Colonization factor antigen III (CFA/III) is one of the virulence factors of human enterotoxigenic Escherichia coli (ETEC) that forms the long, thin, proteinaceous fibres of type IV pili through assembly of its major and minor subunits CofA and CofB, respectively. The crystal structure of CofA has recently been reported; however, the lack of structural information for CofB, the largest among the known type IV pilin subunits, hampers a comprehensive understanding of CFA/III pili. In this study, constructs of wild-type CofB with an N-terminal truncation and the corresponding SeMet derivative were cloned, expressed, purified and crystallized. The crystals belonged to the rhombohedral space group R32, with unit-cell parameters a = b = 103.97, c = 364.57 Å for the wild-type construct and a = b = 103.47, c = 362.08 Å for the SeMet-derivatized form. Although the diffraction quality of these crystals was initially very poor, dehydration of the crystals substantially improved the resolution limit from ∼ 4.0 to ∼ 2.0 Å. The initial phase was solved by the single-wavelength anomalous dispersion (SAD) method using a dehydrated SeMet CofB crystal, which resulted in an interpretable electron-density map.

  17. Multiple-Group Confirmatory Factor Analysis in R--A Tutorial in Measurement Invariance with Continuous and Ordinal Indicators

    Science.gov (United States)

    Hirschfeld, Gerrit; von Brachel, Ruth

    2014-01-01

    Multiple-group confirmatory factor analysis (MG-CFA) is among the most productive extensions of structural equation modeling. Many researchers conducting cross-cultural or longitudinal studies are interested in testing for measurement and structural invariance. The aim of the present paper is to provide a tutorial in MG-CFA using the freely…

  18. Biofilm formation and binding specificities of CFA/I, CFA/II and CS2 adhesions of Enterotoxigenic Escherichia coli and CfaE-R181A mutant

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    Iram Liaqat

    2012-09-01

    Full Text Available Enterotoxigenic Escherichia coli (ETEC strains are leading causes of childhood diarrhea in developing countries. Adhesion is the first step in pathogenesis of ETEC infections and ETEC pili designated colonization factor antigens (CFAs are believed to be important in the biofim formation, colonization and host cell adhesions. As a first step, we have determined the biofilm capability of ETEC expressing various types of pili (CFA/I, CfaE-R181A mutant/ CfaE tip mutant, CFA/II and CS2. Further, enzyme-linked immunosorbent assay (ELISA assay were developed to compare the binding specificity of CFA/I, CFA/II (CS1 - CS3 and CS2 of ETEC, using extracted pili and piliated bacteria. CFA/II strain (E24377a as well as extracted pili exhibited significantly higher binding both in biofilm and ELISA assays compared to non piliated wild type E24377a, CFA/I and CS2 strains. This indicates that co-expression of two or more CS2 in same strain is more efficient in increasing adherence. Significant decrease in binding specificity of DH5αF'lacIq/∆cotD (CS2 strain and MC4100/pEU2124 (CfaE-R181A mutant strain indicated the important contribution of tip proteins in adherence assays. However, CS2 tip mutant strain (DH5αF'lacIq/pEU5881 showed that this specific residue may not be important as adhesions in these strains. In summary, our data suggest that pili, their minor subunits are important for biofilm formation and adherence mechanisms. Overall, the functional reactivity of strains co expressing various antigens, particularly minor subunit antigen observed in this study suggest that fewer antibodies may be required to elicit immunity to ETEC expressing a wider array of related pili.

  19. Correspondence factor analysis of steroid libraries.

    Science.gov (United States)

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

    1995-06-01

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

  20. 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.

  1. Off-pathway assembly of fimbria subunits is prevented by chaperone CfaA of CFA/I fimbriae from enterotoxigenic E. coli.

    Science.gov (United States)

    Bao, Rui; Liu, Yang; Savarino, Stephen J; Xia, Di

    2016-12-01

    The assembly of the class 5 colonization factor antigen I (CFA/I) fimbriae of enterotoxigenic E. coli was proposed to proceed via the alternate chaperone-usher pathway. Here, we show that in the absence of the chaperone CfaA, CfaB, the major pilin subunit of CFA/I fimbriae, is able to spontaneously refold and polymerize into cyclic trimers. CfaA kinetically traps CfaB to form a metastable complex that can be stabilized by mutations. Crystal structure of the stabilized complex reveals distinctive interactions provided by CfaA to trap CfaB in an assembly competent state through donor-strand complementation (DSC) and cleft-mediated anchorage. Mutagenesis indicated that DSC controls the stability of the chaperone-subunit complex and the cleft-mediated anchorage of the subunit C-terminus additionally assist in subunit refolding. Surprisingly, over-stabilization of the chaperone-subunit complex led to delayed fimbria assembly, whereas destabilizing the complex resulted in no fimbriation. Thus, CfaA acts predominantly as a kinetic trap by stabilizing subunit to avoid its off-pathway self-polymerization that results in energetically favorable trimers and could serve as a driving force for CFA/I pilus assembly, representing an energetic landscape unique to class 5 fimbria assembly. Published 2016. This article is a U.S. Government work and is in the public domain in the USA. Molecular Microbiology published by John Wiley & Sons Ltd.

  2. The Future of the CEMAC CFA Franc

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    Julius Agbor Agbor

    2013-08-01

    Full Text Available A total of 80 currency boards have come into existence at some point since the mid-19th century, but to date only about 15 of them still exist, among which is the CFA franc monetary zone. The future sustainability of the CFA franc zone, to which the CEMAC CFA franc belongs, is increasingly questioned in the light of increasing asymmetries in exposure to external shocks, differential speeds of adjustment of the real exchange rate following shocks, differential impacts in economic fundamentals, and low levels of intra-regional trade and financial flows between CEMAC and WAEMU. For the CEMAC bloc of countries in particular, the future sustainability of the fixed exchange regime depends crucially on continued oil exports, which currently represent about 90percent of export revenues and 40 percent of GDP. Should oil reserves deplete in the near future or oil prices decline significantly, a substantial source of foreign reserves would be lost, thereby exposing the regime to collapse. Even without resource depletion, continued volatility in global financial markets is increasing the risks of collapse of the fixed exchange regime as oil and commodity price swings ignite currency speculation as well as render reserves much more volatile. Against this backdrop, the present study examines the stakes facing the CEMAC CFA franc, discusses the exit options from the currency board and makes recommendations towards a sustainable monetary policy framework for CEMAC countries going forward. The analysis points to the imperative of pursuing a full monetary union with a single CEMAC franc pegged to the U.S. dollar and further suggest that, like the experience of the eurozone, the CEMAC monetary arrangement can be best implemented only by complying with the principle of political union.

  3. Why item parcels are (almost) never appropriate: two wrongs do not make a right--camouflaging misspecification with item parcels in CFA models.

    Science.gov (United States)

    Marsh, Herbert W; Lüdtke, Oliver; Nagengast, Benjamin; Morin, Alexandre J S; Von Davier, Matthias

    2013-09-01

    The present investigation has a dual focus: to evaluate problematic practice in the use of item parcels and to suggest exploratory structural equation models (ESEMs) as a viable alternative to the traditional independent clusters confirmatory factor analysis (ICM-CFA) model (with no cross-loadings, subsidiary factors, or correlated uniquenesses). Typically, it is ill-advised to (a) use item parcels when ICM-CFA models do not fit the data, and (b) retain ICM-CFA models when items cross-load on multiple factors. However, the combined use of (a) and (b) is widespread and often provides such misleadingly good fit indexes that applied researchers might believe that misspecification problems are resolved--that 2 wrongs really do make a right. Taking a pragmatist perspective, in 4 studies we demonstrate with responses to the Rosenberg Self-Esteem Inventory (Rosenberg, 1965), Big Five personality factors, and simulated data that even small cross-loadings seriously distort relations among ICM-CFA constructs or even decisions on the number of factors; although obvious in item-level analyses, this is camouflaged by the use of parcels. ESEMs provide a viable alternative to ICM-CFAs and a test for the appropriateness of parcels. The use of parcels with an ICM-CFA model is most justifiable when the fit of both ICM-CFA and ESEM models is acceptable and equally good, and when substantively important interpretations are similar. However, if the ESEM model fits the data better than the ICM-CFA model, then the use of parcels with an ICM-CFA model typically is ill-advised--particularly in studies that are also interested in scale development, latent means, and measurement invariance.

  4. Genome-wide analysis in German shepherd dogs reveals association of a locus on CFA 27 with atopic dermatitis.

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    Katarina Tengvall

    2013-05-01

    Full Text Available Humans and dogs are both affected by the allergic skin disease atopic dermatitis (AD, caused by an interaction between genetic and environmental factors. The German shepherd dog (GSD is a high-risk breed for canine AD (CAD. In this study, we used a Swedish cohort of GSDs as a model for human AD. Serum IgA levels are known to be lower in GSDs compared to other breeds. We detected significantly lower IgA levels in the CAD cases compared to controls (p = 1.1 × 10(-5 in our study population. We also detected a separation within the GSD cohort, where dogs could be grouped into two different subpopulations. Disease prevalence differed significantly between the subpopulations contributing to population stratification (λ = 1.3, which was successfully corrected for using a mixed model approach. A genome-wide association analysis of CAD was performed (n cases = 91, n controls = 88. IgA levels were included in the model, due to the high correlation between CAD and low IgA levels. In addition, we detected a correlation between IgA levels and the age at the time of sampling (corr = 0.42, p = 3.0 × 10(-9, thus age was included in the model. A genome-wide significant association was detected on chromosome 27 (praw = 3.1 × 10(-7, pgenome = 0.03. The total associated region was defined as a ~1.5-Mb-long haplotype including eight genes. Through targeted re-sequencing and additional genotyping of a subset of identified SNPs, we defined 11 smaller haplotype blocks within the associated region. Two blocks showed the strongest association to CAD. The ~209-kb region, defined by the two blocks, harbors only the PKP2 gene, encoding Plakophilin 2 expressed in the desmosomes and important for skin structure. Our results may yield further insight into the genetics behind both canine and human AD.

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

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    DiStefano, Christine; Hess, Brian

    2005-01-01

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

  6. Common Factor Analysis Versus Principal Component Analysis: Choice for Symptom Cluster Research

    Directory of Open Access Journals (Sweden)

    Hee-Ju Kim, PhD, RN

    2008-03-01

    Conclusion: If the study purpose is to explain correlations among variables and to examine the structure of the data (this is usual for most cases in symptom cluster research, CFA provides a more accurate result. If the purpose of a study is to summarize data with a smaller number of variables, PCA is the choice. PCA can also be used as an initial step in CFA because it provides information regarding the maximum number and nature of factors. In using factor analysis for symptom cluster research, several issues need to be considered, including subjectivity of solution, sample size, symptom selection, and level of measure.

  7. Using confirmatory factor analysis to manage discriminant validity issues in social pharmacy research.

    Science.gov (United States)

    Carter, Stephen R

    2016-06-01

    Background Confirmatory factory analysis (CFA) and structural equation modelling (SEM) are increasingly used in social pharmacy research. One of the key benefits of CFA is that it allows researchers to provide evidence for the validity of internal factor structure of measurement scales. In particular, CFA can be used to provide evidence for the validity of the assertion that a hypothesized multi-dimensional scale discriminates between sub-scales. Aim This manuscript aims to provide guidance for researchers who wish to use CFA to provide evidence for the internal factor structure of measurement scales. Methods The manuscript places discriminant validity in the context of providing overall validity evidence for measurement scales. Four examples from the recent social pharmacy literature are used to critically examine the various methods which are used to establish discriminant validity. Using a hypothetical scenario, the manuscript demonstrates how commonly used output from CFA computer programs can be used to provide evidence for separateness of sub-scales within a multi-dimensional scale. Conclusion The manuscript concludes with recommendations for the conduct and reporting of studies which use CFA to provide evidence of internal factor structure of measurement scales.

  8. The five-factor model of the Positive and Negative Syndrome Scale - I : Confirmatory factor analysis fails to confirm 25 published five-factor solutions

    NARCIS (Netherlands)

    van der Gaag, Mark; Cuijpers, Anke; Hoffman, Tonko; Remijsen, Mila; Hijman, Ron; de Haan, Lieuwe; van Meijel, Berno; van Harten, Peter N.; Valmaggia, Lucia; de Hert, Marc; Wiersma, Durk

    2006-01-01

    Objective: The aim of this study was to test the goodness-of-fit of all previously published five-factor models of the Positive and Negative Syndrome Scale (PANSS). Methods: We used confirmatory factor analysis (CFA) with a large data set (N = 5769). Results: The different subsamples were tested for

  9. Attenuated Escherichia coli strains expressing the colonization factor antigen I (CFA/I) and a detoxified heat-labile enterotoxin (LThK63) enhance clearance of ETEC from the lungs of mice and protect mice from intestinal ETEC colonization and LT-induced fluid accumulation.

    Science.gov (United States)

    Byrd, Wyatt; Boedeker, Edgar C

    2013-03-15

    Although enterotoxigenic Escherichia coli (ETEC) infections are important causes of infantile and traveler's diarrhea there is no licensed vaccine available for those at-risk. Our goal is to develop a safe, live attenuated ETEC vaccine. We used an attenuated E. coli strain (O157:H7, Δ-intimin, Stx1-neg, Stx2-neg) as a vector (ZCR533) to prepare two vaccine strains, one strain expressing colonization factor antigen I (ZCR533-CFA/I) and one strain expressing CFA/I and a detoxified heat-labile enterotoxin (ZCR533-CFA/I+LThK63) to deliver ETEC antigens to mucosal sites in BALB/c mice. Following intranasal and intragastric immunization with the vaccine strains, serum IgG and IgA antibodies were measured to the CFA/I antigen, however, only serum IgG antibodies were detected to the heat-labile enterotoxin. Intranasal administration of the vaccine strains induced respiratory and intestinal antibody responses to the CFA/I and LT antigens, while intragastric administration induced only intestinal antibody responses with no respiratory antibodies detected to the CFA/I and LT antigens. Mice immunized intranasally with the vaccine strains showed enhanced clearance of wild-type (wt) ETEC bacteria from the lungs. Mice immunized intranasally and intragastrically with the vaccine strains were protected from intestinal colonization following oral challenge with ETEC wt bacteria. Mice immunized intragastrically with the ZCR533-CFA/I+LThK63 vaccine strain had less fluid accumulate in their intestine following challenge with ETEC wt bacteria or with purified LT as compared to the sham mice indicating that the immunized mice were protected from LT-induced intestinal fluid accumulation. Thus, mice intragastrically immunized with the ZCR533-CFA/I+LThK63 vaccine strain were able to effectively neutralize the activity of the LT enterotoxin. However, no difference in intestinal fluid accumulation was detected in the mice immunized intranasally with the vaccine strain as compared to the sham

  10. CFA or CFP: A Guide for Professors

    Science.gov (United States)

    Moy, Ronald L.

    2011-01-01

    The CFA Institute and the CFP Board of Standards provide professional certifications in the field of finance. In this paper, I provide my experience with the CFA and CFP programs in order to give other professors some insight into the process of attaining the designations. I hope to provide answers to some of the questions that other faculty…

  11. Pamplin College of Business partners with CFA Institute

    OpenAIRE

    Ho, Sookhan

    2007-01-01

    Virginia Tech's Pamplin College of Business has been named a CFA Program Partner of CFA Institute, the global, non-profit professional association that administers the Chartered Financial Analyst (CFA) curriculum and examination program.

  12. Confirmatory Factor Analysis of the Elementary School Success Profile for Teachers

    Science.gov (United States)

    Webber, Kristina C.; Rizo, Cynthia F.; Bowen, Natasha K.

    2012-01-01

    Objectives: This study examines the factor structure and scale quality of data collected with the online Elementary School Success Profile (ESSP) for Teachers from a sample of teachers of 1,145 third through fifth graders. Methods: Confirmatory factor analysis (CFA) using Mplus and weighted least squares means and variances adjusted (WLSMV)…

  13. Biofilm formation and binding specificities of CFA/I, CFA/II and CS2 adhesions of enterotoxigenic Escherichia coli and Cfae-R181A mutant.

    Science.gov (United States)

    Liaqat, Iram; Sakellaris, Harry

    2012-07-01

    Enterotoxigenic Escherichia coli (ETEC) strains are leading causes of childhood diarrhea in developing countries. Adhesion is the first step in pathogenesis of ETEC infections and ETEC pili designated colonization factor antigens (CFAs) are believed to be important in the biofim formation, colonization and host cell adhesions. As a first step, we have determined the biofilm capability of ETEC expressing various types of pili (CFA/I, CfaE-R181A mutant/CfaE tip mutant, CFA/II and CS2). Further, enzyme-linked immunosorbent assay (ELISA) assay were developed to compare the binding specificity of CFA/I, CFA/II (CS1 - CS3) and CS2 of ETEC, using extracted pili and piliated bacteria. CFA/II strain (E24377a) as well as extracted pili exhibited significantly higher binding both in biofilm and ELISA assays compared to non piliated wild type E24377a, CFA/I and CS2 strains. This indicates that co-expression of two or more CS2 in same strain is more efficient in increasing adherence. Significant decrease in binding specificity of DH5αF'lacI (q)/∆cotD (CS2) strain and MC4100/pEU2124 (CfaE-R181A) mutant strain indicated the important contribution of tip proteins in adherence assays. However, CS2 tip mutant strain (DH5αF'lacI (q)/pEU5881) showed that this specific residue may not be important as adhesions in these strains. In summary, our data suggest that pili, their minor subunits are important for biofilm formation and adherence mechanisms. Overall, the functional reactivity of strains co expressing various antigens, particularly minor subunit antigen observed in this study suggest that fewer antibodies may be required to elicit immunity to ETEC expressing a wider array of related pili.

  14. Resolving and Exploiting the $k$-CFA Paradox

    OpenAIRE

    Might, Matthew; Smaragdakis, Yannis; Horn, David

    2013-01-01

    Low-level program analysis is a fundamental problem, taking the shape of "flow analysis" in functional languages and "points-to" analysis in imperative and object-oriented languages. Despite the similarities, the vocabulary and results in the two communities remain largely distinct, with limited cross-understanding. One of the few links is Shivers's $k$-CFA work, which has advanced the concept of "context-sensitive analysis" and is widely known in both communities. Recent results indicate tha...

  15. Factor analysis

    CERN Document Server

    Gorsuch, Richard L

    2013-01-01

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

  16. A Structural Basis for Sustained Bacterial Adhesion – Biomechanical Properties of CFA/I Pili

    OpenAIRE

    Andersson, Magnus; Björnham, Oscar; Svantesson, Mats; Badahdah, Arwa; Uhlin, Bernt Eric; Bullitt, Esther

    2011-01-01

    Enterotoxigenic Escherichia coli (ETEC) are a major cause of diarrheal disease worldwide. Adhesion pili (or fimbriae), such as the CFA/I (colonization factor antigen I) organelles that enable ETEC to attach efficiently to the host intestinal tract epithelium, are critical virulence factors for initiation of infection. We characterized at single organelle level the intrinsic biomechanical properties and kinetics of individual CFA/I pili, demonstrating that weak external forces (7.5 pN) are suf...

  17. The Effect of Missing Data Handling Methods on Goodness of Fit Indices in Confirmatory Factor Analysis

    Science.gov (United States)

    Köse, Alper

    2014-01-01

    The primary objective of this study was to examine the effect of missing data on goodness of fit statistics in confirmatory factor analysis (CFA). For this aim, four missing data handling methods; listwise deletion, full information maximum likelihood, regression imputation and expectation maximization (EM) imputation were examined in terms of…

  18. Critical parameters governing energy density of Li-storage cathode materials unraveled by confirmatory factor analysis

    Science.gov (United States)

    Sohn, Kee-Sun; Han, Su Cheol; Park, Woon Bae; Pyo, Myoungho

    2016-03-01

    Despite extensive effort during the past few decades, a comprehensive understanding of the key variables governing the electrochemical properties of cathode materials in Li-ion batteries is still far from complete. To elucidate the critical parameters affecting energy density (ED) and capacity (Q) retention in layer and spinel cathodes, we data-mine the existing experimental data via confirmatory factor analysis (CFA) based on a structural equation model (SEM), which is a proven, versatile tool in understanding complex problems in the social science. The data sets are composed of 18 and 15 parameters extracted from 38 layer and 33 spinel compounds, respectively. CFA reveals the irrelevance of Q retention to all the parameters we adopt, but it also reveals the sensitive variations of ED with specific parameters. We validate the usefulness of CFA in material science and pinpointed critical parameters for high-ED cathodes, hoping to suggest a new insight in materials design.

  19. Supervised Cross-Modal Factor Analysis for Multiple Modal Data Classification

    KAUST Repository

    Wang, Jingbin

    2015-10-09

    In this paper we study the problem of learning from multiple modal data for purpose of document classification. In this problem, each document is composed two different modals of data, i.e., An image and a text. Cross-modal factor analysis (CFA) has been proposed to project the two different modals of data to a shared data space, so that the classification of a image or a text can be performed directly in this space. A disadvantage of CFA is that it has ignored the supervision information. In this paper, we improve CFA by incorporating the supervision information to represent and classify both image and text modals of documents. We project both image and text data to a shared data space by factor analysis, and then train a class label predictor in the shared space to use the class label information. The factor analysis parameter and the predictor parameter are learned jointly by solving one single objective function. With this objective function, we minimize the distance between the projections of image and text of the same document, and the classification error of the projection measured by hinge loss function. The objective function is optimized by an alternate optimization strategy in an iterative algorithm. Experiments in two different multiple modal document data sets show the advantage of the proposed algorithm over other CFA methods.

  20. Comparing interval estimates for small sample ordinal CFA models.

    Science.gov (United States)

    Natesan, Prathiba

    2015-01-01

    Robust maximum likelihood (RML) and asymptotically generalized least squares (AGLS) methods have been recommended for fitting ordinal structural equation models. Studies show that some of these methods underestimate standard errors. However, these studies have not investigated the coverage and bias of interval estimates. An estimate with a reasonable standard error could still be severely biased. This can only be known by systematically investigating the interval estimates. The present study compares Bayesian, RML, and AGLS interval estimates of factor correlations in ordinal confirmatory factor analysis models (CFA) for small sample data. Six sample sizes, 3 factor correlations, and 2 factor score distributions (multivariate normal and multivariate mildly skewed) were studied. Two Bayesian prior specifications, informative and relatively less informative were studied. Undercoverage of confidence intervals and underestimation of standard errors was common in non-Bayesian methods. Underestimated standard errors may lead to inflated Type-I error rates. Non-Bayesian intervals were more positive biased than negatively biased, that is, most intervals that did not contain the true value were greater than the true value. Some non-Bayesian methods had non-converging and inadmissible solutions for small samples and non-normal data. Bayesian empirical standard error estimates for informative and relatively less informative priors were closer to the average standard errors of the estimates. The coverage of Bayesian credibility intervals was closer to what was expected with overcoverage in a few cases. Although some Bayesian credibility intervals were wider, they reflected the nature of statistical uncertainty that comes with the data (e.g., small sample). Bayesian point estimates were also more accurate than non-Bayesian estimates. The results illustrate the importance of analyzing coverage and bias of interval estimates, and how ignoring interval estimates can be misleading

  1. On the generation of a bubbly universe - A quantitative assessment of the CfA slice

    Science.gov (United States)

    Ostriker, J. P.; Strassler, M. J.

    1989-01-01

    A first attempt is made to calculate the properties of the matter distribution in a universe filled with overlapping bubbles produced by multiple explosions. Each spherical shell follows the cosmological Sedov-Taylor solution until it encounters another shell. Thereafter, mergers are allowed to occur in pairs on the basis of N-body results. At the final epoch, the matrix of overlapping shells is populated with 'galaxies' and the properties of slices through the numerically constructed cube compare well with CfA survey results for specified initial conditions. A statistic is found which measures the distance distribution from uniformly distributed points to the nearest galaxies on the projected plane which appears to provide a good measure of the bubbly character of the galaxy distribution. In a quantitative analysis of the CfA 'slice of the universe', a very good match is found between simulation and the real data for final average bubble radii of (13.5 + or - 1.5)/h Mpc with formal filling factor 1.0-1.5 or actual filling factor of 65-80 percent.

  2. Evaluation of phenoxybenzamine in the CFA model of pain following gene expression studies and connectivity mapping.

    Science.gov (United States)

    Chang, Meiping; Smith, Sarah; Thorpe, Andrew; Barratt, Michael J; Karim, Farzana

    2010-09-16

    We have previously used the rat 4 day Complete Freund's Adjuvant (CFA) model to screen compounds with potential to reduce osteoarthritic pain. The aim of this study was to identify genes altered in this model of osteoarthritic pain and use this information to infer analgesic potential of compounds based on their own gene expression profiles using the Connectivity Map approach. Using microarrays, we identified differentially expressed genes in L4 and L5 dorsal root ganglia (DRG) from rats that had received intraplantar CFA for 4 days compared to matched, untreated control animals. Analysis of these data indicated that the two groups were distinguishable by differences in genes important in immune responses, nerve growth and regeneration. This list of differentially expressed genes defined a "CFA signature". We used the Connectivity Map approach to identify pharmacologic agents in the Broad Institute Build02 database that had gene expression signatures that were inversely related ('negatively connected') with our CFA signature. To test the predictive nature of the Connectivity Map methodology, we tested phenoxybenzamine (an alpha adrenergic receptor antagonist) - one of the most negatively connected compounds identified in this database - for analgesic activity in the CFA model. Our results indicate that at 10 mg/kg, phenoxybenzamine demonstrated analgesia comparable to that of Naproxen in this model. Evaluation of phenoxybenzamine-induced analgesia in the current study lends support to the utility of the Connectivity Map approach for identifying compounds with analgesic properties in the CFA model.

  3. 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.

  4. Choosing among Multiple Achievement Measures: Applying Multitrait--Multimethod Confirmatory Factor Analysis to State Assessment, ACT, and Student GPA Data

    Science.gov (United States)

    Dickinson, Emily R.; Adelson, Jill L.

    2016-01-01

    Practitioners and researchers interested in understanding student achievement, its predictors, and how it relates to other student outcomes are likely unaware of how the source information about achievement may offer subtly different pictures. This study applies multitrait-multimethod (MTMM) confirmatory factor analysis (CFA) within a structural…

  5. Choosing among Multiple Achievement Measures: Applying Multitrait--Multimethod Confirmatory Factor Analysis to State Assessment, ACT, and Student GPA Data

    Science.gov (United States)

    Dickinson, Emily R.; Adelson, Jill L.

    2016-01-01

    Practitioners and researchers interested in understanding student achievement, its predictors, and how it relates to other student outcomes are likely unaware of how the source information about achievement may offer subtly different pictures. This study applies multitrait-multimethod (MTMM) confirmatory factor analysis (CFA) within a structural…

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

    Science.gov (United States)

    Barnes, Jennifer; Prescott, Tim; Muncer, Steven

    2012-12-01

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

  7. Toxicity of coal fly ash (CFA) and toxicological response of switchgrass in mycorrhiza-mediated CFA-soil admixtures.

    Science.gov (United States)

    Awoyemi, Olushola M; Dzantor, E Kudjo

    2017-10-01

    Increasing support for the use of Coal fly ash (CFA) in agriculture has necessitated a better understanding of the effects of the CFA in various cropping schemes. Experiments were conducted to assess mutagenic response of a mutant strain of Salmonella enterica serovar Typhimurium (TA100) to varying concentrations of CFA-water extracts, determine oxidative stress in switchgrass (Panicum virgatum L.) at varying levels of CFA-soil admixtures, and evaluate mycorrhiza-mediated modulation of oxidative stress responses of CFA-grown switchgrass. The TA100 exposed to 0%, 5%, 10%, 15%, 20% and 25% (w/v) CFA-water extracts elicited significant (p CFA-soil admixtures at 7.5% and 15% (w/w) significantly (p CFA/soil). Under the same conditions, activities of glutathione peroxidase (GPx) decreased by 75.9% and 66.9%. In contrast to the antioxidant enzyme activities, levels of malondialdehyde (MDA) an indicator of lipid peroxidation increased significantly (p CFA-soil admixtures with arbuscular mycorrhizal fungi (AMF), Rhizophaga clarus enhanced the activities of both SOD and GPx in the switchgrass, while it significantly (p CFA (at concentrations considered to be non-mutagenic against TA100) as soil amendment produced concentration-dependent oxidative stress responses in switchgrass; however, inoculation of the CFA-soil admixtures with AMF significantly modulated the oxidative stress responses. Copyright © 2017 Elsevier Inc. All rights reserved.

  8. Testing Group Mean Differences of Latent Variables in Multilevel Data Using Multiple-Group Multilevel CFA and Multilevel MIMIC Modeling.

    Science.gov (United States)

    Kim, Eun Sook; Cao, Chunhua

    2015-01-01

    Considering that group comparisons are common in social science, we examined two latent group mean testing methods when groups of interest were either at the between or within level of multilevel data: multiple-group multilevel confirmatory factor analysis (MG ML CFA) and multilevel multiple-indicators multiple-causes modeling (ML MIMIC). The performance of these methods were investigated through three Monte Carlo studies. In Studies 1 and 2, either factor variances or residual variances were manipulated to be heterogeneous between groups. In Study 3, which focused on within-level multiple-group analysis, six different model specifications were considered depending on how to model the intra-class group correlation (i.e., correlation between random effect factors for groups within cluster). The results of simulations generally supported the adequacy of MG ML CFA and ML MIMIC for multiple-group analysis with multilevel data. The two methods did not show any notable difference in the latent group mean testing across three studies. Finally, a demonstration with real data and guidelines in selecting an appropriate approach to multilevel multiple-group analysis are provided.

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

    DEFF Research Database (Denmark)

    Moleiro, Carla; Madureira, Sofia; Verdelho, Ana

    2013-01-01

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

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

    Institute of Scientific and Technical Information of China (English)

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

    2007-01-01

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

  11. The analysis of multitrait-multimethod matrices via constrained components analysis

    NARCIS (Netherlands)

    Kiers, Henk A.L.; Takane, Yoshio; Ten Berge, Jos M.F.

    1996-01-01

    Multitrait-Multimethod (MTMM) matrices are often analyzed by means of confirmatory factor analysis (CFA). However, fitting MTMM models often leads to improper solutions, or nonconvergence. In an attempt to overcome these problems, various alternative CFA models have been proposed, but with none of

  12. CFA-4 - a fluorinated metal-organic framework with exchangeable interchannel cations.

    Science.gov (United States)

    Fritzsche, J; Grzywa, M; Denysenko, D; Bon, V; Senkovska, I; Kaskel, S; Volkmer, D

    2017-05-23

    The syntheses and crystal structures of the fluorinated linker 1,4-bis(3,5-bis(trifluoromethyl)-1H-pyrazole-4-yl)benzene (H2-tfpb; 1) and the novel metal-organic framework family M[CFA-4] (Coordination Framework Augsburg University-4), M[Cu5(tfpb)3] (M = Cu(i), K, Cs, Ca(0.5)), are described. The ligand 1 is fully characterized by single crystal X-ray diffraction, photoluminescence-, NMR-, IR spectroscopy, and mass spectrometry. The copper(i)-containing MOF crystallizes in the hexagonal crystal system within the chiral space group P6322 (no. 182) and the unit cell parameters are as follows: a = 23.630(5) Å, c = 41.390(5) Å, V = 20 015(6) Å(3). M[CFA-4] features a porous 3-D structure constructed from pentanuclear copper(i) secondary building units {Cu(pz)6}(-) (pz = pyrazolate). Cu(I)[CFA-4] is fully characterized by synchrotron single crystal X-ray diffraction, thermogravimetric analysis, variable temperature powder X-ray diffraction, IR spectroscopy, photoluminescence and gas sorption measurements. Moreover, thermal stability and gas sorption properties of K[CFA-4] and Cu(I)[CFA-4] are compared.

  13. PCA-based spatially adaptive denoising of CFA images for single-sensor digital cameras.

    Science.gov (United States)

    Zheng, Lei; Lukac, Rastislav; Wu, Xiaolin; Zhang, David

    2009-04-01

    Single-sensor digital color cameras use a process called color demosiacking to produce full color images from the data captured by a color filter array (CAF). The quality of demosiacked images is degraded due to the sensor noise introduced during the image acquisition process. The conventional solution to combating CFA sensor noise is demosiacking first, followed by a separate denoising processing. This strategy will generate many noise-caused color artifacts in the demosiacking process, which are hard to remove in the denoising process. Few denoising schemes that work directly on the CFA images have been presented because of the difficulties arisen from the red, green and blue interlaced mosaic pattern, yet a well-designed "denoising first and demosiacking later" scheme can have advantages such as less noise-caused color artifacts and cost-effective implementation. This paper presents a principle component analysis (PCA)-based spatially-adaptive denoising algorithm, which works directly on the CFA data using a supporting window to analyze the local image statistics. By exploiting the spatial and spectral correlations existing in the CFA image, the proposed method can effectively suppress noise while preserving color edges and details. Experiments using both simulated and real CFA images indicate that the proposed scheme outperforms many existing approaches, including those sophisticated demosiacking and denoising schemes, in terms of both objective measurement and visual evaluation.

  14. Role of overexpressed CFA/I fimbriae in bacterial swimming.

    Science.gov (United States)

    Cao, Ling; Suo, Zhiyong; Lim, Timothy; Jun, Sangmu; Deliorman, Muhammedin; Riccardi, Carol; Kellerman, Laura; Avci, Recep; Yang, Xinghong

    2012-06-01

    Enterotoxigenic Escherichia coli CFA/I is a protective antigen and has been overexpressed in bacterial vectors, such as Salmonella Typhimurium H683, to generate vaccines. Effects that overexpressed CFA/I may engender on the bacterial host remain largely unexplored. To investigate, we constructed a high CFA/I expression strain, H683-pC2, and compared it to a low CFA/I expression strain, H683-pC, and to a non-CFA/I expression strain, H683-pY. The results showed that H683-pC2 was less able to migrate into semisolid agar (0.35%) than either H683-pC or H683-pY. Bacteria that migrated showed motility halo sizes of H683-pC2 CFA/I fimbriae on bacterial swimming motility.

  15. CfA Nearby Supernova Ia Light Curves

    Science.gov (United States)

    Hicken, Malcolm; Berlind, P.; Blondin, S.; Calkins, M.; Challis, P.; Esquerdo, G.; Everett, M.; Fernandez, J.; Jha, S.; Kirshner, R. P.; Latham, D.; Modjaz, M.; Rest, A.; Wood-Vasey, M.

    2007-12-01

    Type Ia supernovae (SN Ia) are central in measuring the accelerated expansion of the Universe and the properties of the underlying dark energy. Nearby SN Ia are compared with distant ones to establish the history of cosmic expansion. In fact, current efforts in SN Ia cosmology are constrained by the limited number of well-observed nearby SN Ia. A significantly improved sample of nearby SN Ia, fully covering the space of Ia properties, is needed to maximize the utility of high-redshift SN Ia. Our ongoing project at the CfA has collected such a set of 170 SN Ia. We have used the FLWO 1.2m telescope. About half of our objects were observed in UBVRI with the 4Shooter camera and have an average of 10 epochs each while the other half was taken in UBVr'i' with the Keplercam instrument and have an average of 17 epochs each. We have now reduced this sample of over 25000 images and present calibrated light curves of these SN Ia along with an analysis of their properties. The CfA Supernova program is supported in part by the National Science Foundation through grant AST-0606772 to Harvard University.

  16. A structural basis for sustained bacterial adhesion: biomechanical properties of CFA/I pili.

    Science.gov (United States)

    Andersson, Magnus; Björnham, Oscar; Svantesson, Mats; Badahdah, Arwa; Uhlin, Bernt Eric; Bullitt, Esther

    2012-02-03

    Enterotoxigenic Escherichia coli (ETEC) are a major cause of diarrheal disease worldwide. Adhesion pili (or fimbriae), such as the CFA/I (colonization factor antigen I) organelles that enable ETEC to attach efficiently to the host intestinal tract epithelium, are critical virulence factors for initiation of infection. We characterized the intrinsic biomechanical properties and kinetics of individual CFA/I pili at the single-organelle level, demonstrating that weak external forces (7.5 pN) are sufficient to unwind the intact helical filament of this prototypical ETEC pilus and that it quickly regains its original structure when the force is removed. While the general relationship between exertion of force and an increase in the filament length for CFA/I pili associated with diarrheal disease is analogous to that of P pili and type 1 pili, associated with urinary tract and other infections, the biomechanical properties of these different pili differ in key quantitative details. Unique features of CFA/I pili, including the significantly lower force required for unwinding, the higher extension speed at which the pili enter a dynamic range of unwinding, and the appearance of sudden force drops during unwinding, can be attributed to morphological features of CFA/I pili including weak layer-to-layer interactions between subunits on adjacent turns of the helix and the approximately horizontal orientation of pilin subunits with respect to the filament axis. Our results indicate that ETEC CFA/I pili are flexible organelles optimized to withstand harsh motion without breaking, resulting in continued attachment to the intestinal epithelium by the pathogenic bacteria that express these pili. Copyright © 2011 Elsevier Ltd. All rights reserved.

  17. A Structural Basis for Sustained Bacterial Adhesion – Biomechanical Properties of CFA/I Pili

    Science.gov (United States)

    Andersson, Magnus; Björnham, Oscar; Svantesson, Mats; Badahdah, Arwa; Uhlin, Bernt Eric; Bullitt, Esther

    2012-01-01

    Enterotoxigenic Escherichia coli (ETEC) are a major cause of diarrheal disease worldwide. Adhesion pili (or fimbriae), such as the CFA/I (colonization factor antigen I) organelles that enable ETEC to attach efficiently to the host intestinal tract epithelium, are critical virulence factors for initiation of infection. We characterized at single organelle level the intrinsic biomechanical properties and kinetics of individual CFA/I pili, demonstrating that weak external forces (7.5 pN) are sufficient to unwind the intact helical filament of this prototypical ETEC pilus and that it quickly regains its original structure when the force is removed. While the general relationship between exertion of force and an increase in the filament length for CFA/I pili associated with diarrheal disease is analogous to that of P-pili and type 1 pili, associated with urinary tract and other infections, the biomechanical properties of these different pili differ in key quantitative details. Unique features of CFA/I pili, including the significantly lower force required for unwinding, the higher extension speed at which the pili enter a dynamic range of unwinding, and the appearance of sudden force drops during unwinding can be attributed to morphological features of CFA/I pili including weak layer-to-layer interactions between subunits on adjacent turns of the helix, and the approximately horizontal orientation of pilin subunits with respect to the filament axis. Our results indicate that ETEC CFA/I pili are flexible organelles optimized to withstand harsh motion without breaking, resulting in continued attachment to the intestinal epithelium by the pathogenic bacteria that express these pili. PMID:22178477

  18. Foundations of factor analysis

    CERN Document Server

    Mulaik, Stanley A

    2009-01-01

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

  19. Real Exchange Rate Misalignment in the cfa franc zone after the cfa franc devaluation of January 1994

    OpenAIRE

    Kuikeu, Oscar

    2013-01-01

    In cfa franc zone, the exchange rate was devalued, in January 1994, in order to deal with the major macroeconomic imbalances that have affected the members during the 1980 decade. Thus, the aim of this paper is to assess the degree of over/undervaluation (namely real exchange rate misalignment) of the currency in the cfa franc zone since the cfa franc devaluation of January 1994.

  20. The Internal Structure of Positive and Negative Affect: A Confirmatory Factor Analysis of the PANAS

    Science.gov (United States)

    Tuccitto, Daniel E.; Giacobbi, Peter R., Jr.; Leite, Walter L.

    2010-01-01

    This study tested five confirmatory factor analytic (CFA) models of the Positive Affect Negative Affect Schedule (PANAS) to provide validity evidence based on its internal structure. A sample of 223 club sport athletes indicated their emotions during the past week. Results revealed that an orthogonal two-factor CFA model, specifying error…

  1. The Internal Structure of Positive and Negative Affect: A Confirmatory Factor Analysis of the PANAS

    Science.gov (United States)

    Tuccitto, Daniel E.; Giacobbi, Peter R., Jr.; Leite, Walter L.

    2010-01-01

    This study tested five confirmatory factor analytic (CFA) models of the Positive Affect Negative Affect Schedule (PANAS) to provide validity evidence based on its internal structure. A sample of 223 club sport athletes indicated their emotions during the past week. Results revealed that an orthogonal two-factor CFA model, specifying error…

  2. 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.

  3. The luminosity function for different morphological types in the CfA Redshift Survey

    Science.gov (United States)

    Marzke, Ronald O.; Geller, Margaret J.; Huchra, John P.; Corwin, Harold G., Jr.

    1994-01-01

    We derive the luminosity function for different morphological types in the original CfA Redshift Survey (CfA1) and in the first two slices of the CfA Redshift Survey Extension (CfA2). CfA1 is a complete sample containing 2397 galaxies distributed over 2.7 steradians with m(sub z) less than or equal 14.5. The first two complete slices of CfA2 contain 1862 galaxies distributed over 0.42 steradians with m(sub z)=15.5. The shapes of the E-S0 and spiral luminosity functions (LF) are indistinguishable. We do not confirm the steeply decreasing faint end in the E-S0 luminosity function found by Loveday et al. for an independent sample in the southern hemisphere. We demonstrate that incomplete classification in deep redshift surveys can lead to underestimates of the faint end of the elliptical luminosity function and could be partially responsible for the difference between the CfA survey and other local field surveys. The faint end of the LF for the Magellanic spirals and irregulars is very steep. The Sm-Im luminosity function is well fit by a Schechter function with M*=-18.79, alpha=-1.87, and phi*=0.6x10(exp -3) for M(sub z) less than or equal to -13. These galaxies are largely responsible for the excess at the faint end of the general CfA luminosity function. The abundance of intrinsically faint, blue galaxies nearby affects the interpretation of deep number counts. The dwarf population increases the expected counts at B=25 in a no-evolution, q(sub 0)=0.05 model by a factor of two over standard no-evolution estimates. These dwarfs change the expected median redshift in deep redshift surveys by less than 10 percent . Thus the steep Sm-Im LF may contribute to the reconciliation of deep number counts with deep redshift surveys.

  4. CFA-2 and CFA-3 (Coordination Framework Augsburg University-2 and -3); novel MOFs assembled from trinuclear Cu(I)/Ag(I) secondary building units and 3,3',5,5'-tetraphenyl-bipyrazolate ligands.

    Science.gov (United States)

    Grzywa, Maciej; Geßner, Christof; Denysenko, Dmytro; Bredenkötter, Björn; Gschwind, Fabienne; Fromm, Katharina M; Nitek, Wojciech; Klemm, Elias; Volkmer, Dirk

    2013-05-21

    The syntheses of H2-phbpz, [Cu2(phbpz)]·2DEF·MeOH (CFA-2) and [Ag2(phbpz)] (CFA-3) (H2-phbpz = 3,3',5,5'-tetraphenyl-1H,1'H-4,4'-bipyrazole) compounds and their crystal structures are described. The Cu(I) containing metal-organic framework CFA-2 crystallizes in the tetragonal crystal system, within space group I4(1)/a (no. 88) and the following unit cell parameters: a = 30.835(14), c = 29.306(7) Å, V = 27 865(19) Å(3). CFA-2 features a flexible 3-D three-connected two-fold interpenetrated porous structure constructed of triangular Cu(I) subunits. Upon exposure to different kinds of liquids (MeOH, EtOH, DMF, DEF) CFA-2 shows pronounced breathing effects. CFA-3 crystallizes in the monoclinic crystal system, within space group P2(1)/c (no. 14) and the following unit cell parameters: a = 16.3399(3), b = 32.7506(4), c = 16.2624(3) Å, β = 107.382(2)°, V = 8305.3(2) Å(3). In contrast to the former compound, CFA-3 features a layered 2-D three-connected structure constructed from triangular Ag(i) subunits. Both compounds are characterized by elemental and thermogravimetric analyses, single crystal structure analysis and X-ray powder diffraction, FTIR- and fluorescence spectroscopy. Preliminary results on oxygen activation in CFA-2 are presented and potential improvements in terms of framework robustness and catalytic efficiency are discussed.

  5. A time-dependent degeneration manner of condyle in rat CFA-induced inflamed TMJ.

    Science.gov (United States)

    Xu, Liqin; Guo, Huilin; Li, Cheng; Xu, Jie; Fang, Wei; Long, Xing

    2016-01-01

    Temporomandibular joint (TMJ) inflammation is a potential risk factor of osteoarthritis (OA) but the detailed degenerative changes in the inflamed TMJ remain unclear. In this study, we evaluated the changes of condylar cartilage and subchondral bone in rat inflamed TMJ induced by Freund's complete adjuvant (CFA). Articular cavity was injected with CFA and the TMJ samples were collected 1, 2, 3, and 4-week post-injection. Hematoxylin & Eosin (H&E) staining, toluidine blue (TB) staining, Safranin O (S.O) staining, Masson trichrome staining and micro-CT were used to assess TMJ degeneration during inflammation. Osteoclast and osteoblast activities were analyzed by tartrate-resistant acid phosphatase (TRAP) staining and osteocalcin (OCN) immunohistochemistry staining respectively. The expression of receptor activator of NF-kB ligand (RANKL) and osteoprotegerin (OPG) in condylar cartilage and subchondral bone was also evaluated through immunohistochemistry and RANKL/OPG ratio was evaluated. Reduced cartilage thickness, decreased number of chondrocytes, and down-regulated proteoglycan expression were observed in the condylar cartilage in the inflamed TMJ. Enhanced osteoclast activity, and expanded bone marrow cavity were reached the peak in the 2-week after CFA-injection. Meanwhile the RANKL/OPG ratio in the cartilage and subchondral bone also increased in the 2-week CFA-injection. Immature, unmineralized new bones with irregular trabecular bone structure, atypical condylar shape, up-regulated OCN expression, and decreased bone mineral density (BMD) were found in the inflamed TMJ. The time-dependent degeneration manner of TMJ cartilage and subchondral bone was found in CFA-induced arthritis rat model. The degeneration in the TMJ with inflammation might be a risk factor and should be concerned.

  6. Differential decay of RNA of the CFA/I fimbrial operon and control of relative gene expression.

    OpenAIRE

    Jordi, B J; op den Camp, I E; de Haan, L A; van der Zeijst, B A; Gaastra, W

    1993-01-01

    CFA/I fimbriae on human enterotoxigenic Escherichia coli are composed of the CfaB protein, the product of the second gene of the CFA/I operon. We show here that CfaB is expressed at a higher level than other proteins of the CFA/I operon. mRNA encoding the CfaB protein is much more abundant than mRNA encoding CfaA, the first protein, together with CfaB or mRNA encoding CfaA only. Only one promoter, upstream of cfaA, is present. These data indicate that a primary transcript containing cfaA and ...

  7. Development and preclinical evaluation of safety and immunogenicity of an oral ETEC vaccine containing inactivated E. coli bacteria overexpressing colonization factors CFA/I, CS3, CS5 and CS6 combined with a hybrid LT/CT B subunit antigen, administered alone and together with dmLT adjuvant.

    Science.gov (United States)

    Holmgren, J; Bourgeois, L; Carlin, N; Clements, J; Gustafsson, B; Lundgren, A; Nygren, E; Tobias, J; Walker, R; Svennerholm, A-M

    2013-05-07

    A first-generation oral inactivated whole-cell enterotoxigenic Escherichia coli (ETEC) vaccine, comprising formalin-killed ETEC bacteria expressing different colonization factor (CF) antigens combined with cholera toxin B subunit (CTB), when tested in phase III studies did not significantly reduce overall (generally mild) ETEC diarrhea in travelers or children although it reduced more severe ETEC diarrhea in travelers by almost 80%. We have now developed a novel more immunogenic ETEC vaccine based on recombinant non-toxigenic E. coli strains engineered to express increased amounts of CF antigens, including CS6 as well as an ETEC-based B subunit protein (LCTBA), and the optional combination with a nontoxic double-mutant heat-labile toxin (LT) molecule (dmLT) as an adjuvant. Two test vaccines were prepared under GMP: (1) A prototype E. coli CFA/I-only formalin-killed whole-cell+LCTBA vaccine, and (2) A "complete" inactivated multivalent ETEC-CF (CFA/I, CS3, CS5 and CS6 antigens) whole-cell+LCTBA vaccine. These vaccines, when given intragastrically alone or together with dmLT in mice, were well tolerated and induced strong intestinal-mucosal IgA antibody responses as well as serum IgG and IgA responses to each of the vaccine CF antigens as well as to LT B subunit (LTB). Both mucosal and serum responses were further enhanced (adjuvanted) when the vaccines were co-administered with dmLT. We conclude that the new multivalent oral ETEC vaccine, both alone and especially in combination with the dmLT adjuvant, shows great promise for further testing in humans. Copyright © 2013 Elsevier Ltd. All rights reserved.

  8. 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...

  9. Binding of CFA/I Pili of Enterotoxigenic Escherichia coli to Asialo-GM1 Is Mediated by the Minor Pilin CfaE.

    Science.gov (United States)

    Madhavan, T P Vipin; Riches, James D; Scanlon, Martin J; Ulett, Glen C; Sakellaris, Harry

    2016-05-01

    CFA/I pili are representatives of a large family of related pili that mediate the adherence of enterotoxigenic Escherichia coli to intestinal epithelial cells. They are assembled via the alternate chaperone-usher pathway and consist of two subunits, CfaB, which makes up the pilus shaft and a single pilus tip-associated subunit, CfaE. The current model of pilus-mediated adherence proposes that CFA/I has two distinct binding activities; the CfaE subunit is responsible for binding to receptors of unknown structure on erythrocyte and intestinal epithelial cell surfaces, while CfaB binds to various glycosphingolipids, including asialo-GM1. In this report, we present two independent lines of evidence that, contrary to the existing model, CfaB does not bind to asialo-GM1 independently of CfaE. Neither purified CfaB subunits nor CfaB assembled into pili bind to asialo-GM1. Instead, we demonstrate that binding activity toward asialo-GM1 resides in CfaE and this is essential for pilus binding to Caco-2 intestinal epithelial cells. We conclude that the binding activities of CFA/I pili for asialo-GM1, erythrocytes, and intestinal cells are inseparable, require the same amino acid residues in CfaE, and therefore depend on the same or very similar binding mechanisms. Copyright © 2016, American Society for Microbiology. All Rights Reserved.

  10. Rasch modeling and confirmatory factor analysis of the systemizing quotient-revised (SQ-R) scale.

    Science.gov (United States)

    Allison, Carrie; Baron-Cohen, Simon; Stone, Mark H; Muncer, Steven J

    2015-01-01

    This study assessed the dimensionality of the Systemizing Quotient-Revised (SQ-R), a measure of how strong a person's interest is in systems, using two statistical approaches: Rasch modeling and Confirmatory Factor Analysis (CFA). Participants included N = 675 with an autism spectrum condition (ASC), N = 1369 family members of people with ASC, and N = 2014 typical controls. Data were applied to the Rasch model (Rating Scale) using WINSTEPS. The data fit the Rasch model quite well lending support to the idea that systemizing could be seen as unidimensional. Reliability estimates were .99 for items and .92 for persons. A CFA parceling approach confirmed that a unidimensional model fit the data. There was, however, differential functioning by sex in some of these items. An abbreviated 44-item version of the scale, consisting of items without differential item functioning by sex was developed. This shorter scale also was tested from a Rasch perspective and confirmed through CFA. All measures showed differences on total scale scores between those participants with and without ASC (d = 0.71, p < .005), and between sexes (d = 0.53, p < .005). We conclude that the SQ-R is an appropriate measure of systemizing which can be measured along a single dimension.

  11. The three-dimensional structure of CFA/I adhesion pili: traveler's diarrhea bacteria hang on by a spring.

    Science.gov (United States)

    Mu, Xiang-Qi; Savarino, Stephen J; Bullitt, Esther

    2008-02-22

    To survive the harsh environment of a churning intestinal tract, bacteria attach to the host epithelium via thin fibers called pili (or fimbriae). Enterotoxigenic Escherichia coli bacteria expressing colonization factor antigen I (CFA/I) pili and related pili are the most common known bacterial cause of diarrheal disease, including traveler's diarrhea. CFA/I pili, assembled via the alternate chaperone pathway, are essential for binding and colonization of the small bowel by these pathogenic bacteria. Herein, we elucidate unique structural features of CFA/I pili that appear to optimize their function as bacterial tethers in the intestinal tract. Using transmission electron microscopy of negatively stained samples in combination with iterative three-dimensional helical reconstruction methods for image processing, we determined the structure of the CFA/I pilus filament. Our results indicate that strong end-to-end protein interactions and weak interactions between the coils of a sturdy spring-like helix provide the combination of strength, stability, and flexibility required to sustain bacterial adhesion and incite intestinal disease. We propose that CFA/I pili behave like a spring to maintain attachment to the gut lining during vortex mixing and downward flow of the intestinal contents, thereby persisting long enough for these bacteria to colonize the host epithelium and cause enteric disease.

  12. Bayesian Factor Analysis as a Variable-Selection Problem: Alternative Priors and Consequences.

    Science.gov (United States)

    Lu, Zhao-Hua; Chow, Sy-Miin; Loken, Eric

    2016-01-01

    Factor analysis is a popular statistical technique for multivariate data analysis. Developments in the structural equation modeling framework have enabled the use of hybrid confirmatory/exploratory approaches in which factor-loading structures can be explored relatively flexibly within a confirmatory factor analysis (CFA) framework. Recently, Muthén & Asparouhov proposed a Bayesian structural equation modeling (BSEM) approach to explore the presence of cross loadings in CFA models. We show that the issue of determining factor-loading patterns may be formulated as a Bayesian variable selection problem in which Muthén and Asparouhov's approach can be regarded as a BSEM approach with ridge regression prior (BSEM-RP). We propose another Bayesian approach, denoted herein as the Bayesian structural equation modeling with spike-and-slab prior (BSEM-SSP), which serves as a one-stage alternative to the BSEM-RP. We review the theoretical advantages and disadvantages of both approaches and compare their empirical performance relative to two modification indices-based approaches and exploratory factor analysis with target rotation. A teacher stress scale data set is used to demonstrate our approach.

  13. MULTIDIMENSIONAL RELIABILITY OF INSTRUMENT STUDENTS’ SATISFACTION USING CONFIRMATORY FACTOR ANALYSIS

    Directory of Open Access Journals (Sweden)

    Gaguk Margono

    2014-11-01

    Full Text Available The purpose of this paper is to compare unidimensional reliability and multidimensional reliability of instrument students’ satisfaction as an internal costumer. Multidimensional reliability measurement is rarely used in the field of research. Multidimensional reliability is estimated by using Confirmatory Factor Analysis (CFA on the Structural Equation Model (SEM. Measurements and calculations are described in this article using instrument students’ satisfaction as an internal costumer. Survey method used in this study and sampling used simple random sampling. This instrument has been tried out to 173 students. The result is concluded that the measuringinstrument of students’ satisfaction as an internal costumer by using multidimensional reliability coefficient has higher accuracy when compared with a unidimensional reliability coefficient. Expected in advanced research used another formula multidimensional reliability, including when using SEM.

  14. Bayesian Exploratory Factor Analysis

    DEFF Research Database (Denmark)

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

    2014-01-01

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

  15. Nitric oxide synthase modulates CFA-induced thermal hyperalgesia through cytokine regulation in mice.

    Science.gov (United States)

    Chen, Yong; Boettger, Michael K; Reif, Andreas; Schmitt, Angelika; Uçeyler, Nurcan; Sommer, Claudia

    2010-03-02

    Although it has been largely demonstrated that nitric oxide synthase (NOS), a key enzyme for nitric oxide (NO) production, modulates inflammatory pain, the molecular mechanisms underlying these effects remain to be clarified. Here we asked whether cytokines, which have well-described roles in inflammatory pain, are downstream targets of NO in inflammatory pain and which of the isoforms of NOS are involved in this process. Intraperitoneal (i.p.) pretreatment with 7-nitroindazole sodium salt (7-NINA, a selective neuronal NOS inhibitor), aminoguanidine hydrochloride (AG, a selective inducible NOS inhibitor), L-N(G)-nitroarginine methyl ester (L-NAME, a non-selective NOS inhibitor), but not L-N(5)-(1-iminoethyl)-ornithine (L-NIO, a selective endothelial NOS inhibitor), significantly attenuated thermal hyperalgesia induced by intraplantar (i.pl.) injection of complete Freund's adjuvant (CFA). Real-time reverse transcription-polymerase chain reaction (RT-PCR) revealed a significant increase of nNOS, iNOS, and eNOS gene expression, as well as tumor necrosis factor-alpha (TNF), interleukin-1 beta (IL-1beta), and interleukin-10 (IL-10) gene expression in plantar skin, following CFA. Pretreatment with the NOS inhibitors prevented the CFA-induced increase of the pro-inflammatory cytokines TNF and IL-1beta. The increase of the anti-inflammatory cytokine IL-10 was augmented in mice pretreated with 7-NINA or L-NAME, but reduced in mice receiving AG or L-NIO. NNOS-, iNOS- or eNOS-knockout (KO) mice had lower gene expression of TNF, IL-1beta, and IL-10 following CFA, overall corroborating the inhibitor data. These findings lead us to propose that inhibition of NOS modulates inflammatory thermal hyperalgesia by regulating cytokine expression.

  16. Genetic fusions of a CFA/I/II/IV MEFA (multiepitope fusion antigen and a toxoid fusion of heat-stable toxin (STa and heat-labile toxin (LT of enterotoxigenic Escherichia coli (ETEC retain broad anti-CFA and antitoxin antigenicity.

    Directory of Open Access Journals (Sweden)

    Xiaosai Ruan

    Full Text Available Immunological heterogeneity has long been the major challenge in developing broadly effective vaccines to protect humans and animals against bacterial and viral infections. Enterotoxigenic Escherichia coli (ETEC strains, the leading bacterial cause of diarrhea in humans, express at least 23 immunologically different colonization factor antigens (CFAs and two distinct enterotoxins [heat-labile toxin (LT and heat-stable toxin type Ib (STa or hSTa]. ETEC strains expressing any one or two CFAs and either toxin cause diarrhea, therefore vaccines inducing broad immunity against a majority of CFAs, if not all, and both toxins are expected to be effective against ETEC. In this study, we applied the multiepitope fusion antigen (MEFA strategy to construct ETEC antigens and examined antigens for broad anti-CFA and antitoxin immunogenicity. CFA MEFA CFA/I/II/IV [CVI 2014, 21(2:243-9], which carried epitopes of seven CFAs [CFA/I, CFA/II (CS1, CS2, CS3, CFA/IV (CS4, CS5, CS6] expressed by the most prevalent and virulent ETEC strains, was genetically fused to LT-STa toxoid fusion monomer 3xSTaA14Q-dmLT or 3xSTaN12S-dmLT [IAI 2014, 82(5:1823-32] for CFA/I/II/IV-STaA14Q-dmLT and CFA/I/II/IV-STaN12S-dmLT MEFAs. Mice intraperitoneally immunized with either CFA/I/II/IV-STa-toxoid-dmLT MEFA developed antibodies specific to seven CFAs and both toxins, at levels equivalent or comparable to those induced from co-administration of the CFA/I/II/IV MEFA and toxoid fusion 3xSTaN12S-dmLT. Moreover, induced antibodies showed in vitro adherence inhibition activities against ETEC or E. coli strains expressing these seven CFAs and neutralization activities against both toxins. These results indicated CFA/I/II/IV-STa-toxoid-dmLT MEFA or CFA/I/II/IV MEFA combined with 3xSTaN12S-dmLT induced broadly protective anti-CFA and antitoxin immunity, and suggested their potential application in broadly effective ETEC vaccine development. This MEFA strategy may be generally used in

  17. Genetic fusions of a CFA/I/II/IV MEFA (multiepitope fusion antigen) and a toxoid fusion of heat-stable toxin (STa) and heat-labile toxin (LT) of enterotoxigenic Escherichia coli (ETEC) retain broad anti-CFA and antitoxin antigenicity.

    Science.gov (United States)

    Ruan, Xiaosai; Sack, David A; Zhang, Weiping

    2015-01-01

    Immunological heterogeneity has long been the major challenge in developing broadly effective vaccines to protect humans and animals against bacterial and viral infections. Enterotoxigenic Escherichia coli (ETEC) strains, the leading bacterial cause of diarrhea in humans, express at least 23 immunologically different colonization factor antigens (CFAs) and two distinct enterotoxins [heat-labile toxin (LT) and heat-stable toxin type Ib (STa or hSTa)]. ETEC strains expressing any one or two CFAs and either toxin cause diarrhea, therefore vaccines inducing broad immunity against a majority of CFAs, if not all, and both toxins are expected to be effective against ETEC. In this study, we applied the multiepitope fusion antigen (MEFA) strategy to construct ETEC antigens and examined antigens for broad anti-CFA and antitoxin immunogenicity. CFA MEFA CFA/I/II/IV [CVI 2014, 21(2):243-9], which carried epitopes of seven CFAs [CFA/I, CFA/II (CS1, CS2, CS3), CFA/IV (CS4, CS5, CS6)] expressed by the most prevalent and virulent ETEC strains, was genetically fused to LT-STa toxoid fusion monomer 3xSTaA14Q-dmLT or 3xSTaN12S-dmLT [IAI 2014, 82(5):1823-32] for CFA/I/II/IV-STaA14Q-dmLT and CFA/I/II/IV-STaN12S-dmLT MEFAs. Mice intraperitoneally immunized with either CFA/I/II/IV-STa-toxoid-dmLT MEFA developed antibodies specific to seven CFAs and both toxins, at levels equivalent or comparable to those induced from co-administration of the CFA/I/II/IV MEFA and toxoid fusion 3xSTaN12S-dmLT. Moreover, induced antibodies showed in vitro adherence inhibition activities against ETEC or E. coli strains expressing these seven CFAs and neutralization activities against both toxins. These results indicated CFA/I/II/IV-STa-toxoid-dmLT MEFA or CFA/I/II/IV MEFA combined with 3xSTaN12S-dmLT induced broadly protective anti-CFA and antitoxin immunity, and suggested their potential application in broadly effective ETEC vaccine development. This MEFA strategy may be generally used in multivalent

  18. Four-factor structure of obsessive-compulsive disorder symptoms in children, adolescents, and adults.

    Science.gov (United States)

    Stewart, S Evelyn; Rosario, Maria C; Baer, Lee; Carter, Alice S; Brown, Timothy A; Scharf, Jeremiah M; Illmann, Cornelia; Leckman, James F; Sukhodolsky, Denis; Katsovich, Lilya; Rasmussen, Steven; Goodman, Wayne; Delorme, Richard; Leboyer, Marion; Chabane, Nadia; Jenike, Michael A; Geller, Daniel A; Pauls, David L

    2008-07-01

    To determine whether the four-factor category-based obsessive-compulsive disorder (OCD) symptom structure from a previous confirmatory factor analysis (CFA) may be appropriately used in child, adolescent, and adult groups. Symptom dimensions are increasingly used as quantitative traits in genetic, neuroimaging, and treatment studies of OCD across all ages. Identification of a category-based OCD symptom dimension structure that is validated for use across child, adolescent, and adult age groups is necessary to guide ongoing translational research. Four OCD samples comprising 356 individuals were divided into child, adolescent, and adult groups. The fit of the only CFA-defined four-factor model was compared across these independent age group samples. Multiple-group CFA using maximum likelihood estimation assessed adequacy of fit comparing unconstrained and measurement weight-constrained models. The fit of previous exploratory factor analysis-defined three- and five-factor models on adults was also examined using CFA. A four-factor solution provided adequate but imperfect fit across age groups, with comparable indices to the only previous OCD CFA: factor 1 (aggressive/sexual/religious/somatic/checking); factor 2 (symmetry/ordering/counting/repeating); factor 3 (contamination/cleaning), and factor 4 (hoarding). Models in which factor loadings were constrained and unconstrained across the three age groups yielded comparable model fit. Factors were highly correlated and were not mutually exclusive. The four-factor solution provided an improved fit to both three- and five-factor solutions using CFA across the three age groups. A four-factor, CFA-defined, category-based model of OCD symptom dimensions is adequate for use in children, adolescents, and adult age groups. The factor structure of this multiple age group sample has limitations and is imperfect, but current findings support the comparability of the defined latent OCD dimensions across age groups. Further work is

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

    Science.gov (United States)

    Gomez, Rapson; Vance, Alasdair

    2014-12-01

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

  20. CfA3: 185 Type Ia Supernova Light Curves from the CfA

    CERN Document Server

    Hicken, Malcolm; Jha, Saurabh; Kirsher, Robert P; Matheson, Tom; Modjaz, Maryam; Rest, Armin; Wood-Vasey, W Michael

    2009-01-01

    We present multi-band photometry of 185 type-Ia supernovae (SN Ia), with over 11500 observations. These were acquired between 2001 and 2008 at the F. L. Whipple Observatory of the Harvard-Smithsonian Center for Astrophysics (CfA). This sample contains the largest number of homogeneously-observed and reduced nearby SN Ia (z < 0.08) published to date. It more than doubles the nearby sample, bringing SN Ia cosmology to the point where systematic uncertainties dominate. Our natural system photometry has a precision of 0.02 mag or better in BVRIr'i' and roughly 0.04 mag in U for points brighter than 17.5 mag. We also estimate a systematic uncertainty of 0.03 mag in our SN Ia standard system BVRIr'i' photometry and 0.07 mag for U. Comparisons of our standard system photometry with published SN Ia light curves and comparison stars, where available for the same SN, reveal agreement at the level of a few hundredths mag in most cases. We find that 1991bg-like SN Ia are sufficiently distinct from other SN Ia in their...

  1. Confirmatory Factor Analysis on the Big 5 Personality Test Inventory

    Science.gov (United States)

    Kamarulzaman, Wirawani; Nordin, Mohamad Sahari

    2012-01-01

    This paper is intended to examine the validity of Big 5 Personality test inventory of 44 questions with 5-Likert Scale measurement. Confirmatory factory analysis (CFA) was conducted to determine the good fit indices of the 5 personality types. Those types are 1) extraversion, 2) agreeableness, 3) conscientiousness, 4) openness and 5) neuroticism.…

  2. Factor Analysis and AIC.

    Science.gov (United States)

    Akaike, Hirotugu

    1987-01-01

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

  3. Regulation of coronafacoyl phytotoxin production by the PAS-LuxR family regulator CfaR in the common scab pathogen Streptomyces scabies.

    Directory of Open Access Journals (Sweden)

    Zhenlong Cheng

    Full Text Available Potato common scab is an economically important crop disease that is characterized by the formation of superficial, raised or pitted lesions on the potato tuber surface. The most widely distributed causative agent of the disease is Streptomyces scabies, which produces the phytotoxic secondary metabolite thaxtomin A that serves as a key virulence factor for the organism. Recently, it was demonstrated that S. scabies can also produce the phytotoxic secondary metabolite coronafacoyl-L-isoleucine (CFA-L-Ile as well as other related metabolites in minor amounts. The expression of the biosynthetic genes for CFA-L-Ile production is dependent on a PAS-LuxR family transcriptional regulator, CfaR, which is encoded within the phytotoxin biosynthetic gene cluster in S. scabies. In this study, we show that CfaR activates coronafacoyl phytotoxin production by binding to a single site located immediately upstream of the putative -35 hexanucleotide box within the promoter region for the biosynthetic genes. The binding activity of CfaR was shown to require both the LuxR and PAS domains, the latter of which is involved in protein homodimer formation. We also show that CFA-L-Ile production is greatly enhanced in S. scabies by overexpression of both cfaR and a downstream co-transcribed gene, orf1. Our results provide important insight into the regulation of coronafacoyl phytotoxin production, which is thought to contribute to the virulence phenotype of S. scabies. Furthermore, we provide evidence that CfaR is a novel member of the PAS-LuxR family of regulators, members of which are widely distributed among actinomycete bacteria.

  4. Temporal Stability, Correlates, and Longitudinal Outcomes of Career Indecision Factors

    Science.gov (United States)

    Nauta, Margaret M.

    2012-01-01

    A confirmatory factor analysis (CFA) tested the fit of Kelly and Lee's six-factor model of career decision problems among 188 college students. The six-factor model did not fit the data well, but a five-factor (Lack of Information, Need for Information, Trait Indecision, Disagreement with Others, and Choice Anxiety) model did provide a good fit.…

  5. Construction and expression of immunogenic hybrid enterotoxigenic Escherichia coli CFA/I and CS2 colonization fimbriae for use in vaccines.

    Science.gov (United States)

    Tobias, Joshua; Svennerholm, Ann-Mari; Holmgren, Jan; Lebens, Michael

    2010-07-01

    Enterotoxigenic Escherichia coli (ETEC) are an important cause of diarrheal morbidity in developing countries, especially in children and also of traveler's diarrhea. Colonization factors (CFs) of ETEC, like CFA/I and CS2 which are genetically and structurally related, play a substantial role in pathogenicity, and since intestinal-mucosal immune responses against CFs appear to be protective, much effort has focused on the development of a CF-based ETEC vaccine. We have constructed hybrid operons in which the major CS2 subunit-encoding cotA gene was inserted into the CFA/I operon, either replacing (hybrid I) or being added to the major CFA/I subunit-encoding cfaB gene (hybrid II). Using specific monoclonal antibodies against the major subunits of CFA/I and CS2, high levels of surface expression of both fimbrial subunits were shown in E. coli carrying the hybrid II operon. Oral immunization of mice with formalin-killed bacteria expressing hybrid II fimbriae induced strong CFA/I- and CS2-specific serum IgG + IgM and fecal IgA antibody responses, which were higher than those achieved by similar immunization with the reference strains. Bacteria expressing hybrid fimbriae are potential candidate strains in an oral-killed CF-ETEC vaccine, and the approach represents an attractive and novel means of producing a broad-spectrum ETEC vaccine.

  6. Ranolazine attenuation of CFA-induced mechanical hyperalgesia.

    Science.gov (United States)

    Casey, Gregory P; Roberts, Jomar S; Paul, Dennis; Diamond, Ivan; Gould, Harry J

    2010-01-01

    To determine whether ranolazine, a new anti-angina medication, could be an effective analgesic agent in complete Freund's adjuvant-induced inflammatory pain. Plantar injection of complete Freund's adjuvant (CFA) produces an extended period of hyperalgesia that is associated with a dramatic up-regulation of Na(v) 1.7 sodium channels in populations of large and small dorsal root ganglion neurons related to the injection site. Ranolazine appears to produce its anti-angina effect through blocking the late sodium current associated with the voltage-gated sodium channel, Na(v) 1.5. Because ranolazine also inhibits Na(v) 1.7, and 1.8, we sought to determine whether it could be an effective analgesic agent in CFA-induced inflammatory pain. Baseline determinations of withdrawal from thermal and mechanical stimulation were made in Sprague-Dawley rats ( approximately 300-350 x g). Following determination of baseline, one hindpaw in each group was injected with 0.1 mL of CFA. The contralateral paw received saline. Thermal and mechanical stimulation was repeated on the third day post-injection. Vehicle (0.9% isotonic saline; pH 3.0) or ranolazine was then administered in randomized and blinded doses either by intraperitoneal (ip) injection (0, 10, 20, and 50 mg/kg) or by oral gavage (po; 0, 20, 50, 100, and 200 mg/kg). Animals were again tested 30 minutes (ip) and 1 hour (po) after drug administration. Ranolazine produced dose-dependant analgesia on mechanical allodynia induced by CFA injection, but had no effect on thermal hyperalgesia. Ranolazine's potential as a new option for managing both angina and chronic inflammatory pain warrants further study.

  7. Validation of the French sensory gating inventory: a confirmatory factor analysis.

    Science.gov (United States)

    Micoulaud-Franchi, Jean-Arthur; Hetrick, William P; Boyer, Laurent; Bolbecker, Amanda; Aramaki, Mitsuko; Ystad, Sølvi; Richieri, Raphaëlle; El-Kaim, Alexandre; Faget, Catherine; Faugere, Mélanie; Cermolacce, Michel; Kronland-Martinet, Richard; Lancon, Christophe; Vion-Dury, Jean

    2014-12-30

    The Sensory Gating Inventory (SGI) is an instrument investigating daily experiences of sensory gating deficit developed for English speaking schizophrenia patients. The purpose of this study is to design and validate a French version of the SGI. A forward-backward translation of the SGI was performed. The psychometric properties of the French SGI version were analyzed. A confirmatory factor analysis (CFA) was carried out to determine whether factor structure of the French version is similar to the original English version. In a sample of 363 healthy subjects (mean age=31.8 years, S.D.=12.2 years) the validation process revealed satisfactory psychometric properties: the internal consistency reliability was confirmed for each dimension; each item achieved the 0.40 standard threshold for item-internal consistency; each item was more highly correlated with its contributive dimension than with the other dimensions; and based on a CFA, we found a 4-factor structure for the French version of the SGI similar to the original instrument. Test-retest reliability was not determined. The French version of the SGI is a psychometrically sound self-report for measuring phenomenological sensory gating experiences.

  8. The chronic pain coping inventory: Confirmatory factor analysis of the French version

    Directory of Open Access Journals (Sweden)

    Côté Denis

    2006-02-01

    Full Text Available Abstract Background Coping strategies are among the psychosocial factors hypothesized to contribute to the development of chronic musculoskeletal disability. The Chronic Pain Coping Inventory (CPCI was developed to assess eight behavioral coping strategies targeted in multidisciplinary pain treatment (Guarding, Resting, Asking for Assistance, Task Persistence, Relaxation, Exercise/Stretch, Coping Self-Statements and Seeking Social Support. The present study had two objectives. First, it aimed at measuring the internal consistency and the construct validity of the French version of the CPCI. Second, it aimed to verify if, as suggested by the CPCI authors, the scales of this instrument can be grouped according to the following coping families: Illness-focused coping and Wellness-focused coping. Method The CPCI was translated into French with the forward and backward translation procedure. To evaluate internal consistency, Cronbach's alphas were computed. Construct validity of the inventory was estimated through confirmatory factor analysis (CFA in two samples: a group of 439 Quebecois workers on sick leave in the sub-acute stage of low back pain (less than 84 days after the work accident and a group of 388 French chronic pain patients seen in a pain clinic. A CFA was also performed to evaluate if the CPCI scales were grouped into two coping families (i.e. Wellness-focused and Illness-focused coping. Results The French version of the CPCI had adequate internal consistency in both samples. The CFA confirmed the eight-scale structure of the CPCI. A series of second-order CFA confirmed the composition of the Illness-focused family of coping (Guarding, Resting and Asking for Assistance. However, the composition of the Wellness-focused family of coping (Relaxation, Exercise/Stretch, Coping Self-Statements and Seeking Social Support was different than the one proposed by the authors of the CPCI. Also, a positive correlation was observed between Illness

  9. Comparative Model Tests of SDP and CFA Pile Groups in Non-Cohesive Soil

    Science.gov (United States)

    Krasiński, Adam; Kusio, Tomasz

    2015-02-01

    The research topic relates to the subject of deep foundations supported on continuous flight auger (CFA) piles and screw displacement piles (SDP). The authors have decided to conduct model tests of foundations supported on the group of piles mentioned above and also the tests of the same piles working as a single. The tests are ongoing in Geotechnical Laboratory of Gdaňsk University of Technology. The description of test procedure, interpretation and analysis of the preliminary testing series results are presented in the paper.

  10. Comparative Model Tests of SDP and CFA Pile Groups in Non-Cohesive Soil

    Directory of Open Access Journals (Sweden)

    Krasiński Adam

    2015-02-01

    Full Text Available The research topic relates to the subject of deep foundations supported on continuous flight auger (CFA piles and screw displacement piles (SDP. The authors have decided to conduct model tests of foundations supported on the group of piles mentioned above and also the tests of the same piles working as a single. The tests are ongoing in Geotechnical Laboratory of Gdaňsk University of Technology. The description of test procedure, interpretation and analysis of the preliminary testing series results are presented in the paper.

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

    Directory of Open Access Journals (Sweden)

    Hossein Bevrani, PhD

    2011-09-01

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

  12. Exploratory and Confirmatory Factor Analyses of the WISC-IV with Gifted Students

    Science.gov (United States)

    Rowe, Ellen W.; Dandridge, Jessica; Pawlush, Alexandra; Thompson, Dawna F.; Ferrier, David E.

    2014-01-01

    These 2 studies investigated the factor structure of the Wechsler Intelligence Scale for Children-4th edition (WISC-IV; Wechsler, 2003a) with exploratory factor analysis (EFA; Study 1) and confirmatory factor analysis (CFA; Study 2) among 2 independent samples of gifted students. The EFA sample consisted of 225 children who were referred for a…

  13. Collapsing Factors in Multitrait-Multimethod Models: Examining Consequences of a Mismatch Between Measurement Design and Model

    Directory of Open Access Journals (Sweden)

    Christian eGeiser

    2015-08-01

    Full Text Available Models of confirmatory factor analysis (CFA are frequently applied to examine the convergent validity of scores obtained from multiple raters or methods in so-called multitrait-multimethod (MTMM investigations. Many applications of CFA-MTMM and similarly structured models result in solutions in which at least one method (or specific factor shows non-significant loading or variance estimates. Eid et al. (2008 distinguished between MTMM measurement designs with interchangeable (randomly selected versus structurally different (fixed methods and showed that each type of measurement design implies specific CFA-MTMM measurement models. In the current study, we hypothesized that some of the problems that are commonly seen in applications of CFA-MTMM models may be due to a mismatch between the underlying measurement design and fitted models. Using simulations, we found that models with M method factors (where M is the total number of methods and unconstrained loadings led to a higher proportion of solutions in which at least one method factor became empirically unstable when these models were fit to data generated from structurally different methods. The simulations also revealed that commonly used model goodness-of-fit criteria frequently failed to identify incorrectly specified CFA-MTMM models. We discuss implications of these findings for other complex CFA models in which similar issues occur, including nested (bifactor and latent state-trait models.

  14. Collapsing factors in multitrait-multimethod models: examining consequences of a mismatch between measurement design and model

    Science.gov (United States)

    Geiser, Christian; Bishop, Jacob; Lockhart, Ginger

    2015-01-01

    Models of confirmatory factor analysis (CFA) are frequently applied to examine the convergent validity of scores obtained from multiple raters or methods in so-called multitrait-multimethod (MTMM) investigations. Many applications of CFA-MTMM and similarly structured models result in solutions in which at least one method (or specific) factor shows non-significant loading or variance estimates. Eid et al. (2008) distinguished between MTMM measurement designs with interchangeable (randomly selected) vs. structurally different (fixed) methods and showed that each type of measurement design implies specific CFA-MTMM measurement models. In the current study, we hypothesized that some of the problems that are commonly seen in applications of CFA-MTMM models may be due to a mismatch between the underlying measurement design and fitted models. Using simulations, we found that models with M method factors (where M is the total number of methods) and unconstrained loadings led to a higher proportion of solutions in which at least one method factor became empirically unstable when these models were fit to data generated from structurally different methods. The simulations also revealed that commonly used model goodness-of-fit criteria frequently failed to identify incorrectly specified CFA-MTMM models. We discuss implications of these findings for other complex CFA models in which similar issues occur, including nested (bifactor) and latent state-trait models. PMID:26283977

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

    Science.gov (United States)

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

    2016-04-01

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

  16. Noise Reduction for CFA Image Sensors Exploiting HVS Behaviour

    Directory of Open Access Journals (Sweden)

    Angelo Bosco

    2009-03-01

    Full Text Available This paper presents a spatial noise reduction technique designed to work on CFA (Color Filtering Array data acquired by CCD/CMOS image sensors. The overall processing preserves image details using some heuristics related to the HVS (Human Visual System; estimates of local texture degree and noise levels are computed to regulate the filter smoothing capability. Experimental results confirm the effectiveness of the proposed technique. The method is also suitable for implementation in low power mobile devices with imaging capabilities such as camera phones and PDAs.

  17. Factor Structure of Japanese Versions of Two Emotional Intelligence Scales

    Science.gov (United States)

    Fukuda, Eriko; Saklofske, Donald H.; Tamaoka, Katsuo; Fung, Tak Shing; Miyaoka, Yayoi; Kiyama, Sachiko

    2011-01-01

    This article reports the psychometric properties of two emotional intelligence measures translated into Japanese. Confirmatory factor analysis (CFA) was conducted to examine the factor structure of a Japanese version of the Wong and Law Emotional Intelligence Scale (WLEIS) completed by 310 Japanese university students. A second study employed CFA…

  18. Transcutaneous electrical nerve stimulation attenuates CFA-induced hyperalgesia and inhibits spinal ERK1/2-COX-2 pathway activation in rats.

    Science.gov (United States)

    Fang, Jun-Fan; Liang, Yi; Du, Jun-Ying; Fang, Jian-Qiao

    2013-06-15

    Transcutaneous electrical nerve stimulation (TENS) is a non-pharmacologic treatment for pain relief. In previous animal studies, TENS effectively alleviated Complete Freund's Adjuvant (CFA)- or carrageenan-induced inflammatory pain. Although TENS is known to produce analgesia via opioid activation in the brain and at the spinal level, few reports have investigated the signal transduction pathways mediated by TENS. Prior studies have verified the importance of the activation of extracellular signal-regulated kinase (ERK) signal transduction pathway in the spinal cord dorsal horn (SCDH) in acute and persistent inflammatory pains. Here, by using CFA rat model, we tested the efficacy of TENS on inhibiting the expressions of p-ERK1/2 and of its downstream cyclooxygenase-2 (COX-2) and the level of prostaglandin E2 (PGE2) at spinal level. Rats were randomly divided into control, model and TENS groups, and injected subcutaneously with 100 μl CFA or saline in the plantar surface of right hind paw. Rats in the TENS group were treated with TENS (constant aquare wave, 2 Hz and 100 Hz alternating frequencies, intensities ranging from 1 to 2 mA, lasting for 30 min each time) at 5 h and 24 h after injection. Paw withdrawal thresholds (PWTs) were measured with dynamic plantar aesthesiometer at 3d before modeling and 5 h, 6 h, and 25 h after CFA injection. The ipsilateral sides of the lumbar spinal cord dosral horns were harvested for detecting the expressions of p-ERK1/2 and COX-2 by western blot analysis and qPCR, and PGE2 by ELISA. CFA-induced periphery inflammation decreased PWTs and increased paw volume of rats. TENS treatment significantly alleviated mechanical hyperalgesia caused by CFA. However, no anti-inflammatory effect of TENS was observed. Expression of p-ERK1/2 protein and COX-2 mRNA was significantly up-regualted at 5 h and 6 h after CFA injection, while COX-2 and PGE2 protein level only increased at 6 h after modeling. Furthermore, the high expression of p-ERK1

  19. Factor Analysis of Teenage Athletes’ Goal Orientations and Sports Participation Motives in Leisure Time

    Directory of Open Access Journals (Sweden)

    Noshin Benar

    2014-04-01

    Full Text Available The aim of the present study was to identify the most important goal orientations and sport participation motives among teenage athletes in leisure time. In addition, these variables were prioritized and associations between all constructs have been studied. For this purpose, 376 Iranian teenage athletes were singled out by cluster–random sampling, and responded to Task and Ego Orientation Sport Questionnaire (T.E.O.S.Q, and Participation Motivation Questionnaire (PMQ. The results of Confirmatory Factor Analysis (CFA showed fit model indexes for twosome dimensions of sport goals, and five motives of sport participation (RMSEA ≤ .06; χ2 / df ≤ 3; Goodness Indexes≥ .90. Based on CFA and loadings, goals of task-orientation (r= .93 and ego-orientation (r= .43 were identified for sport goals, and motives of energy release (r= .94, status (r = .76, fitness (r= .48, team atmosphere (r= .46, and skill development (r= .26 obtained for teenagers’ sport participation, respectively. In general, the findings of the present study provided the adequate understanding for sport managers, coaches, physical educators and their parents by how sport motivation of teenagers, via satisfying teenager’s motives specially motives of energy release and status, provided their satisfaction and gratification during long life.

  20. An Analysis Credit Rating Factors of Steel Distributors from Customer Perspective in Iran\\\\\\'s Market

    Directory of Open Access Journals (Sweden)

    Asghar Moshabbaki

    2016-03-01

    Full Text Available This study with aim of investigation and identification of most important determinant criteria in significant distributors selecting by retailer customers did in Iran steel market and Arvin steel distributor selected as case of study. This research is of survey type and for data collect, a questionnaire was developed from various sources in the literature, used. Sample of 107 customers of Arvin steel distributor in Tehran city was selected. Also, Structure Equation Modeling (SEM and Confirmatory Factor Analysis (CFA and two software package "SPSS and LISREL" are used for analyzing the data. in total, nine variable "managerial capability", "marketing capability", "relationship intensity", "logistics capability", "financial capability", "physical facilities", "market cover", "product line" and "reputation" of distributor identified as main determinant factors in distributor selecting. Study findings show that the effect of "managerial capability", "marketing capability", "Relationship intensity", "Logistics capability", "financial capability", "Physical facilities", "Market cover" and "reputation" on distributor choice were statistically significant.

  1. Evaluating WAIS-IV structure through a different psychometric lens: structural causal model discovery as an alternative to confirmatory factor analysis.

    Science.gov (United States)

    van Dijk, Marjolein J A M; Claassen, Tom; Suwartono, Christiany; van der Veld, William M; van der Heijden, Paul T; Hendriks, Marc P H

    2017-07-20

    Since the publication of the WAIS-IV in the U.S. in 2008, efforts have been made to explore the structural validity by applying factor analysis to various samples. This study aims to achieve a more fine-grained understanding of the structure of the Dutch language version of the WAIS-IV (WAIS-IV-NL) by applying an alternative analysis based on causal modeling in addition to confirmatory factor analysis (CFA). The Bayesian Constraint-based Causal Discovery (BCCD) algorithm learns underlying network structures directly from data and assesses more complex structures than is possible with factor analysis. WAIS-IV-NL profiles of two clinical samples of 202 patients (i.e. patients with temporal lobe epilepsy and a mixed psychiatric outpatient group) were analyzed and contrasted with a matched control group (N = 202) selected from the Dutch standardization sample of the WAIS-IV-NL to investigate internal structure by means of CFA and BCCD. With CFA, the four-factor structure as proposed by Wechsler demonstrates acceptable fit in all three subsamples. However, BCCD revealed three consistent clusters (verbal comprehension, visual processing, and processing speed) in all three subsamples. The combination of Arithmetic and Digit Span as a coherent working memory factor could not be verified, and Matrix Reasoning appeared to be isolated. With BCCD, some discrepancies from the proposed four-factor structure are exemplified. Furthermore, these results fit CHC theory of intelligence more clearly. Consistent clustering patterns indicate these results are robust. The structural causal discovery approach may be helpful in better interpreting existing tests, the development of new tests, and aid in diagnostic instruments.

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

    Science.gov (United States)

    Gomez, Rapson; Watson, Shaun D.

    2017-01-01

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

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

    Science.gov (United States)

    Gomez, Rapson; Watson, Shaun D

    2017-01-01

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

  4. Atopic dermatitis in West Highland white terriers is associated with a 1.3-Mb region on CFA 17.

    Science.gov (United States)

    Roque, Joana B; O'Leary, Caroline A; Duffy, David L; Kyaw-Tanner, Myat; Gharahkhani, Puya; Vogelnest, Linda; Mason, Kenneth; Shipstone, Michael; Latter, Melanie

    2012-03-01

    Canine atopic dermatitis (AD) is an allergic inflammatory skin disease that shares similarities with AD in humans. Canine AD is likely to be an inherited disease in dogs and is common in West Highland white terriers (WHWTs). We performed a genome-wide association study using the Affymetrix Canine SNP V2 array consisting of over 42,800 single nucleotide polymorphisms, on 35 atopic and 25 non-atopic WHWTs. A gene-dropping simulation method, using SIB-PAIR, identified a projected 1.3 Mb area of association (genome-wide P = 6 × 10(-5) to P = 7 × 10(-4)) on CFA 17. Nineteen genes on CFA 17, including 1 potential candidate gene (PTPN22), were located less than 0.5 Mb from the interval of association identified on the genome-wide association analysis. Four haplotypes within this locus were differently distributed between cases and controls in this population of dogs. These findings suggest that a major locus for canine AD in WHWTs may be located on, or in close proximity to an area on CFA 17.

  5. 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...

  6. 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…

  7. 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

  8. A Cross-Classified CFA-MTMM Model for Structurally Different and Nonindependent Interchangeable Methods.

    Science.gov (United States)

    Koch, Tobias; Schultze, Martin; Jeon, Minjeong; Nussbeck, Fridtjof W; Praetorius, Anna-Katharina; Eid, Michael

    2016-01-01

    Multirater (multimethod, multisource) studies are increasingly applied in psychology. Eid and colleagues (2008) proposed a multilevel confirmatory factor model for multitrait-multimethod (MTMM) data combining structurally different and multiple independent interchangeable methods (raters). In many studies, however, different interchangeable raters (e.g., peers, subordinates) are asked to rate different targets (students, supervisors), leading to violations of the independence assumption and to cross-classified data structures. In the present work, we extend the ML-CFA-MTMM model by Eid and colleagues (2008) to cross-classified multirater designs. The new C4 model (Cross-Classified CTC[M-1] Combination of Methods) accounts for nonindependent interchangeable raters and enables researchers to explicitly model the interaction between targets and raters as a latent variable. Using a real data application, it is shown how credibility intervals of model parameters and different variance components can be obtained using Bayesian estimation techniques.

  9. Amelioratory effect of flavonoids rich Pergularia daemia extract against CFA induced arthritic rats.

    Science.gov (United States)

    Ananth, Devanesan Arul; Rameshkumar, Angappan; Jeyadevi, Ramachandran; Aseervatham, G Smilin Bell; Sripriya, Jaganathan; Bose, Prabaharan Chandra; Sivasudha, Thilagar

    2016-05-01

    Pergularia daemia Forsk. (Asclepiadaceae) is a traditionally reported medicinal herb used to treat joint pain and arthritis. However, there are no scientific reports about anti-arthritic activity of P. daemia methanolic extract on rats as animal model. This study identifies bioactive compounds present in the P. daemia methanolic extract and evaluates its anti-arthritic potential in CFA induced arthritic rats. Phytoconstituents of P. daemia extract were examined using LC-ESI/MS method. Anti-arthritic activity of P. daemia extract was determined by various biochemical experiments (RF, ESR and CRP), ultrasonography and histological analysis. LC-ESI/MS analysis resulted in the identification of major flavonoids compounds such as formononetin, qurecetin, chrysoeriol, taxifolin and naringenin. Serum biomarker analysis, after the treatment with PDME (500mg/kg b.w.) revealed that the hemoglobin (11.84±0.42g/dL) and RBC (8.38±0.67million/mm(3)) levels were significantly increased whereas WBC (8.91±0.38thousands/mm(3)), RF (17.94±0.45IU/mL), ESR (7.91±0.12mm/h) and CRP (22.56±0.26mg/L) levels were decreased when compared with the CFA induced arthritic control group. Histology results revealed that treatment with PDME has resulted in significant prevention against bony destruction by decreasing soft tissue swelling and narrowing of joint spaces (250 and 500mg/kg b.w.). Anti-arthritic effect of P. daemia might be due to the presence of these bioactive flavonoids. These findings lend pharmacological support to the reported folkloric use of P. daemia in the treatment and management of painful, arthritic inflammatory conditions. Copyright © 2016 Elsevier Masson SAS. All rights reserved.

  10. Factor Structure and Psychometric Properties of the Injection Phobia Scale-Anxiety

    Science.gov (United States)

    Olatunji, Bunmi O.; Sawchuk, Craig N.; Moretz, Melanie W.; David, Bieke; Armstrong, Thomas; Ciesielski, Bethany G.

    2010-01-01

    The present investigation examined the factor structure and psychometric properties of the Injection Phobia Scale-Anxiety (IPS-Anx). Principal components analysis of IPS-Anx items in Study 1 (n = 498) revealed a 2-factor structure consisting of Distal Fear and Contact Fear. However, CFA results in Study 2 (n = 567) suggest that a 1-factor…

  11. Factor Structure and Psychometric Properties of the Injection Phobia Scale-Anxiety

    Science.gov (United States)

    Olatunji, Bunmi O.; Sawchuk, Craig N.; Moretz, Melanie W.; David, Bieke; Armstrong, Thomas; Ciesielski, Bethany G.

    2010-01-01

    The present investigation examined the factor structure and psychometric properties of the Injection Phobia Scale-Anxiety (IPS-Anx). Principal components analysis of IPS-Anx items in Study 1 (n = 498) revealed a 2-factor structure consisting of Distal Fear and Contact Fear. However, CFA results in Study 2 (n = 567) suggest that a 1-factor…

  12. Factor Structure of the Acute Stress Disorder Scale in a Sample of Hurricane Katrina Evacuees

    Science.gov (United States)

    Edmondson, Donald; Mills, Mary Alice; Park, Crystal L.

    2010-01-01

    Acute stress disorder (ASD) is a poorly understood and controversial diagnosis (A. G. Harvey & R. A. Bryant, 2002). The present study used confirmatory factor analysis (CFA) to test the factor structure of the most widely used self-report measure of ASD, the Acute Stress Disorder Scale (R. A. Bryant, M. L. Moulds, & R. M. Guthrie, 2000),…

  13. Validation of an instrument to measure tutor performance in promoting self-directed learning by using confirmatory factor analysis

    Directory of Open Access Journals (Sweden)

    Genoveva Amador Fierros

    Full Text Available Objective.This work sought to validate and propose an instrument to measure the performance of tutors in promoting self-directed learning in students involved in processes of problem-based learning. Methods. Confirmatory factor analysis (CFA was applied to validate the instrument composed of 60 items and six factors (self-assessment of learning gaps within the United Nations specific context: self-assessment, reflexion, critical thinking, administration of information, group skills, using a sample of 207 students from a total of 279, which comprise the student population of the Faculty of Nursing at Universidad de Colima in Mexico. (2007. Results. The CFA results demonstrated that the instrument is acceptable to measure performance of tutors in promoting self-directed learning, given that all the indicators, variances, covariances, and thresholds are statistically significant. Conclusion. The instrument permits obtaining students' opinions on how much professors contribute for them to develop each of the 60 skills described in the scale. Lastly, the results could report if professors are placing more emphasis in some areas than in other areas they should address during the problem-based learning (PBL process, or if definitely their actions are removed from the premises of PBL, information that will be useful for school management in decision making on the direction of teaching as a whole.

  14. Validation of an instrument to measure tutor performance in promoting self-directed learning by using confirmatory factor analysis.

    Science.gov (United States)

    Amador Fierros, Genoveva; Montesinos-López, Osval Antonio; Alcaráz Moreno, Noemí

    2016-04-01

    This work sought to validate and propose an instrument to measure the performance of tutors in promoting self-directed learning in students involved in processes of problem-based learning. Confirmatory factor analysis (CFA) was applied to validate the instrument composed of 60 items and six factors (self-assessment of learning gaps within the United Nations specific context: self-assessment, reflexion, critical thinking, administration of information, group skills), using a sample of 207 students from a total of 279, which comprise the student population of the Faculty of Nursing at Universidad de Colima in Mexico. (2007). The CFA results demonstrated that the instrument is acceptable to measure performance of tutors in promoting self-directed learning, given that all the indicators, variances, covariances, and thresholds are statistically significant. The instrument permits obtaining students' opinions on how much professors contribute for them to develop each of the 60 skills described in the scale. Lastly, the results could report if professors are placing more emphasis in some areas than in other areas they should address during the problem-based learning (PBL) process, or if definitely their actions are removed from the premises of PBL, information that will be useful for school management in decision making on the direction of teaching as a whole.

  15. 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

  16. Psychometric Evaluation of the Student Authorship Questionnaire: A Confirmatory Factor Analysis Approach

    Science.gov (United States)

    Ballantine, Joan; Guo, Xin; Larres, Patricia

    2015-01-01

    This research provides new insights into the measurement of students' authorial identity and its potential for minimising the incidence of unintentional plagiarism by providing evidence about the psychometric properties of the Student Authorship Questionnaire (SAQ). Exploratory and confirmatory factor analyses (EFA and CFA) are employed to…

  17. Constructs Assessed by the GARS-2: Factor Analysis of Data from the Standardization Sample

    Science.gov (United States)

    Pandolfi, Vincent; Magyar, Caroline I.; Dill, Charles A.

    2010-01-01

    The GARS-2 (Gilliam 2006) is widely used for autism screening; however, the validity of its three conceptually-derived subscales has not been evaluated. In this study, exploratory (EFA) and confirmatory (CFA) factor analyses of data from matched subgroups of the standardization sample did not support the GARS-2 subscale structure. EFAs identified…

  18. High-fat diet exacerbates pain-like behaviors and periarticular bone loss in mice with CFA-induced knee arthritis.

    Science.gov (United States)

    Loredo-Pérez, Aleyda A; Montalvo-Blanco, Carlos E; Hernández-González, Luis I; Anaya-Reyes, Maricruz; Fernández Del Valle-Laisequilla, Cecilia; Reyes-García, Juan G; Acosta-González, Rosa I; Martínez-Martínez, Arisai; Villarreal-Salcido, Jaira C; Vargas-Muñoz, Virginia M; Muñoz-Islas, Enriqueta; Ramírez-Rosas, Martha B; Jiménez-Andrade, Juan M

    2016-05-01

    Our aim was to quantify nociceptive spontaneous behaviors, knee edema, proinflammatory cytokines, bone density, and microarchitecture in high-fat diet (HFD)-fed mice with unilateral knee arthritis. ICR male mice were fed either standard diet (SD) or HFD starting at 3 weeks old. At 17 weeks, HFD and SD mice received intra-articular injections either with Complete Freund's Adjuvant (CFA) or saline into the right knee joint every 7 days for 4 weeks. Spontaneous pain-like behaviors and knee edema were assessed for 26 days. At day 26 post-first CFA injection, serum levels of IL-1β, IL-6, and RANKL were measured by ELISA, and microcomputed tomography analysis of knee joints was performed. HFD-fed mice injected with CFA showed greater spontaneous pain-like behaviors of the affected extremity as well as a decrease in the weight-bearing index compared to SD-fed mice injected with CFA. Knee edema was not significantly different between diets. HFD significantly exacerbated arthritis-induced bone loss at the distal femoral metaphysis but had no effect on femoral diaphyseal cortical bone. HFD did not modify serum levels of proinflammatory cytokines. HFD exacerbates pain-like behaviors and significantly increases the magnitude of periarticular trabecular bone loss in a murine model of unilateral arthritis. © 2016 The Obesity Society.

  19. A Factor Analytic Approach to Distinguish Pure and Co-Occurring Dimensions of Proactive and Reactive Aggression

    Science.gov (United States)

    Fite, Paula J.; Colder, Craig R.; Pelham, William E., Jr.

    2006-01-01

    This study used a confirmatory factor model to distinguish pure and co-occurring dimensions of proactive and reactive aggression, and examined the relation between parenting variables and these dimensions of aggression in a sample of 100 children (9 to 12 years of age; 69 boys). Confirmatory factor analysis (CFA) supported 3 dimensions of…

  20. A Confirmatory Factor Analysis of the Structure of Abbreviated Math Anxiety Scale

    Directory of Open Access Journals (Sweden)

    Farahman Farrokhi

    2011-06-01

    Full Text Available "nObjective: The aim of this study is to explore the confirmatory factor analysis results of the Persian adaptation of Abbreviated Math Anxiety Scale (AMAS, proposed by Hopko, Mahadevan, Bare & Hunt. "nMethod: The validity and reliability assessments of the scale were performed on 298 college students chosen randomly from Tabriz University in Iran. The confirmatory factor analysis (CFA was carried out to determine the factor structures of the Persian version of AMAS. "nResults: As expected, the two-factor solution provided a better fit to the data than a single factor. Moreover, multi-group analyses showed that this two-factor structure was invariant across sex. Hence, AMAS provides an equally valid measure for use among college students. "nConclusions:  Brief AMAS demonstrates adequate reliability and validity. The AMAS scores can be used to compare symptoms of math anxiety between male and female students. The study both expands and adds support to the existing body of math anxiety literature.

  1. Using factor analysis to confirm the validity of children's self-reported health-related quality of life across different modes of administration.

    Science.gov (United States)

    Varni, James W; Limbers, Christine A; Newman, Daniel A

    2009-04-01

    The measurement of pediatric health-related quality of life (HRQOL) in pediatric medicine and health services research has grown significantly over the past decade. While HRQOL instruments are often administered in clinic settings, alternative modes of administration are also utilized such as mail and telephone surveys. In order for comparisons across in-person, mail, and telephone administration to be valid, items on a HRQOL measure must have equivalent meaning across mode of administration. That is, they must demonstrate factorial invariance (stable factor structure) across mode of administration. The objective of the present study was to implement the multigroup confirmatory factor analysis (CFA) method for invariance testing across mode of administration for children's self-reported HRQOL. Multigroup CFA was performed specifying a five-factor model across three modes of administration groups (in-person, mail, and telephone survey). The 23-item PedsQL(TM) 4.0 Generic Core Scales was utilized as the measure of children's self-reported HRQOL in a sample of 3741 children ages 5-18. Strong factorial invariance across the mode of administration groups was demonstrated based on stability of the Comparative Fit Index (CFI) between the models, and several additional indices of practical fit including the Root Mean Squared Error of Approximation (RMSEA), the Non-Normed Fit Index (NNFI), and the Parsimony Normed Fit Index (PNFI). The mode of administration subpopulations in our study differed with regard to health status. The multigroup CFA statistical methods utilized in the present study have important implications for clinical trials in which mixed modes of administration are used. The present findings support an equivalent five-factor structure of the PedsQL( TM) 4.0 Generic Core Scales across the three modes of administration studied. Based on these data, it can be concluded that children across the three modes of administration groups interpreted items on the Peds

  2. Measuring implementation behaviour of menu guidelines in the childcare setting: confirmatory factor analysis of a theoretical domains framework questionnaire (TDFQ).

    Science.gov (United States)

    Seward, Kirsty; Wolfenden, Luke; Wiggers, John; Finch, Meghan; Wyse, Rebecca; Oldmeadow, Christopher; Presseau, Justin; Clinton-McHarg, Tara; Yoong, Sze Lin

    2017-04-04

    While there are number of frameworks which focus on supporting the implementation of evidence based approaches, few psychometrically valid measures exist to assess constructs within these frameworks. This study aimed to develop and psychometrically assess a scale measuring each domain of the Theoretical Domains Framework for use in assessing the implementation of dietary guidelines within a non-health care setting (childcare services). A 75 item 14-domain Theoretical Domains Framework Questionnaire (TDFQ) was developed and administered via telephone interview to 202 centre based childcare service cooks who had a role in planning the service menu. Confirmatory factor analysis (CFA) was undertaken to assess the reliability, discriminant validity and goodness of fit of the 14-domain theoretical domain framework measure. For the CFA, five iterative processes of adjustment were undertaken where 14 items were removed, resulting in a final measure consisting of 14 domains and 61 items. For the final measure: the Chi-Square goodness of fit statistic was 3447.19; the Standardized Root Mean Square Residual (SRMR) was 0.070; the Root Mean Square Error of Approximation (RMSEA) was 0.072; and the Comparative Fit Index (CFI) had a value of 0.78. While only one of the three indices support goodness of fit of the measurement model tested, a 14-domain model with 61 items showed good discriminant validity and internally consistent items. Future research should aim to assess the psychometric properties of the developed TDFQ in other community-based settings.

  3. Transforming Rubrics Using Factor Analysis

    Science.gov (United States)

    Baryla, Ed; Shelley, Gary; Trainor, William

    2012-01-01

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

  4. Factor Structure of the Torrance Tests of Creative Thinking Figural Form B in Spanish-Speaking Children: Measurement Invariance across Gender

    Science.gov (United States)

    Krumm, Gabriela; Lemos, Viviana; Filippetti, Vanessa Arán

    2014-01-01

    On the basis of contradictory findings regarding the factor structure of the Torrance Tests of Creative Thinking (TTCT) Figural scale, the objective of this study was to compare, through a confirmatory factor analysis (CFA), four theoretical models that explain the operationalized creativity construct with the TTCT. We evaluated a sample of 577…

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

    Science.gov (United States)

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

    2011-01-01

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

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

    Science.gov (United States)

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

    2011-01-01

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

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

    Science.gov (United States)

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

    2011-01-01

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

  8. Societal Factors Impacting Child Welfare: Validating the Perceptions of Child Welfare Scale

    Science.gov (United States)

    Auerbach, Charles; Zeitlin, Wendy; Augsberger, Astraea; McGowan, Brenda G.; Claiborne, Nancy; Lawrence, Catherine K.

    2015-01-01

    Objective: This research examines the psychometric properties of the Perceptions of Child Welfare Scale (PCWS). This instrument is designed to assess child welfare workers' understanding of how society views their role and their work. Methods: Confirmatory factor analysis (CFA) was utilized to analyze data on 538 child welfare workers. Results:…

  9. Exploratory and confirmatory factor analysis of the Adolescent Motivation to Cook Questionnaire: A Self-Determination Theory instrument.

    Science.gov (United States)

    Miketinas, Derek; Cater, Melissa; Bailey, Ariana; Craft, Brittany; Tuuri, Georgianna

    2016-10-01

    Increasing adolescents' motivation and competence to cook may improve diet quality and reduce the risk for obesity and chronic diseases. The objective of this study was to develop an instrument to measure adolescents' intrinsic motivation to prepare healthy foods and the four psychological needs that facilitate motivation identified by the Self Determination Theory (SDT). Five hundred ninety-three high school students (62.7% female) were recruited to complete the survey. Participants indicated to what extent they agreed or disagreed with 25 statements pertaining to intrinsic motivation and perceived competence to cook, and their perceived autonomy support, autonomy, and relatedness to teachers and classmates. Data were analyzed using exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and internal consistency reliability. EFA returned a five-factor structure explaining 65.3% of the variance; and CFA revealed that the best model fit was a five-factor structure (χ2 = 524.97 (265); Comparative Fit Index = 0.93; RMSEA = 0.056; and SRMR = 0.04). The sub-scales showed good internal consistency (Intrinsic Motivation: α = 0.94; Perceived Competence: α = 0.92; Autonomy Support: α = 0.94; Relatedness: α = 0.90; and Autonomy: α = 0.85). These results support the application of the Adolescent Motivation to Cook Questionnaire to measure adolescents' motivation and perceived competence to cook, autonomy support by their instructor, autonomy in the classroom, and relatedness to peers. Further studies are needed to investigate whether this instrument can measure change in cooking intervention programs. Copyright © 2016 Elsevier Ltd. All rights reserved.

  10. A confirmatory factor analysis of the Harvard Trauma Questionnaire and the Inventory of Complicated Grief-Revised: Are we measuring complicated grief or posttraumatic stress?

    DEFF Research Database (Denmark)

    O'Connor, Maja; Lasgaard, Mathias Kamp; Shevlin, Mark

    2010-01-01

      The Inventory of Complicated Grief Revised (ICG-R) assesses symptoms of complicated grief in bereaved individuals. The aim of this study was to assess the factorial structure of Complicated Grief (CG) and investigate the relationship between CG and Posttraumatic Stress Disorder through the asse......  The Inventory of Complicated Grief Revised (ICG-R) assesses symptoms of complicated grief in bereaved individuals. The aim of this study was to assess the factorial structure of Complicated Grief (CG) and investigate the relationship between CG and Posttraumatic Stress Disorder through...... the assessment of models which combine both constructs. A secondary aim was to test the construct validity of the Danish version of ICG-R. The questionnaire was completed by respondents who were elderly and married with a history of at least one significant, interpersonal loss (145 males and 147 females, 60......-81 years). Confirmatory factor analysis (CFA) supported a two-factor model (separation distress and traumatic distress) of CG. To investigate the relationship between CG and PTSD three combined models were specified and estimated using CFA. A model where all five factors, the two factors of CG...

  11. The manifestation of depression in the context of urban poverty: a factor analysis of the Children's Depression Inventory in low-income urban youth.

    Science.gov (United States)

    Taylor, Jeremy J; Grant, Kathryn E; Amrhein, Kelly; Carter, Jocelyn Smith; Farahmand, Farahnaz; Harrison, Aubrey; Thomas, Kina J; Carleton, Russell A; Lugo-Hernandez, Eduardo; Katz, Brian N

    2014-12-01

    The current study used confirmatory factor analysis (CFA) to compare the fit of 2 factor structures for the Children's Depression Inventory (CDI) in an urban community sample of low-income youth. Results suggest that the 6-factor model developed by Craighead and colleagues (1998) was a strong fit to the pattern of symptoms reported by low-income urban youth and was a superior fit with these data than the original 5-factor model of the CDI (Kovacs, 1992). Additionally, results indicated that all 6 factors from the Craighead model contributed to the measurement of depression, including School Problems and Externalizing Problems especially for older adolescents. This pattern of findings may reflect distinct contextual influences of urban poverty on the manifestation and measurement of depression in youth.

  12. New vaccine strategies against enterotoxigenic Escherichia coli: II: Enhanced systemic and secreted antibody responses against the CFA/I fimbriae by priming with DNA and boosting with a live recombinant Salmonella vaccine

    Directory of Open Access Journals (Sweden)

    M.O. Lásaro

    1999-02-01

    Full Text Available The induction of systemic (IgG and mucosal (IgA antibody responses against the colonization factor I antigen (CFA/I of enterotoxigenic Escherichia coli (ETEC was evaluated in mice primed with an intramuscularly delivered CFA/I-encoding DNA vaccine followed by two oral immunizations with a live recombinant Salmonella typhimurium vaccine strain expressing the ETEC antigen. The booster effect induced by the oral immunization was detected two weeks and one year after the administration of the DNA vaccine. The DNA-primed/Salmonella-boosted vaccination regime showed a synergistic effect on the induced CFA/I-specific systemic and secreted antibody levels which could not be attained by either immunization strategy alone. These results suggest that the combined use of DNA vaccines and recombinant Salmonella vaccine strains can be a useful immunization strategy against enteric pathogens.

  13. Denoising Algorithm for CFA Image Sensors Considering Inter-Channel Correlation.

    Science.gov (United States)

    Lee, Min Seok; Park, Sang Wook; Kang, Moon Gi

    2017-05-28

    In this paper, a spatio-spectral-temporal filter considering an inter-channel correlation is proposed for the denoising of a color filter array (CFA) sequence acquired by CCD/CMOS image sensors. Owing to the alternating under-sampled grid of the CFA pattern, the inter-channel correlation must be considered in the direct denoising process. The proposed filter is applied in the spatial, spectral, and temporal domain, considering the spatio-tempo-spectral correlation. First, nonlocal means (NLM) spatial filtering with patch-based difference (PBD) refinement is performed by considering both the intra-channel correlation and inter-channel correlation to overcome the spatial resolution degradation occurring with the alternating under-sampled pattern. Second, a motion-compensated temporal filter that employs inter-channel correlated motion estimation and compensation is proposed to remove the noise in the temporal domain. Then, a motion adaptive detection value controls the ratio of the spatial filter and the temporal filter. The denoised CFA sequence can thus be obtained without motion artifacts. Experimental results for both simulated and real CFA sequences are presented with visual and numerical comparisons to several state-of-the-art denoising methods combined with a demosaicing method. Experimental results confirmed that the proposed frameworks outperformed the other techniques in terms of the objective criteria and subjective visual perception in CFA sequences.

  14. Anti-nociceptive effects of Tanshinone IIA (TIIA) in a rat model of complete Freund's adjuvant (CFA)-induced inflammatory pain.

    Science.gov (United States)

    Sun, Shukai; Yin, Yue; Yin, Xin; Cao, Fale; Luo, Daoshu; Zhang, Ting; Li, Yunqing; Ni, Longxing

    2012-09-01

    Inflammatory pain is an important clinical symptom. The levels of extracellular signal-regulated kinases (ERKs) and the levels of cytokines such as interleukin 1β (IL-1β), interleukin 6 (IL-6) and tumor necrosis factor-alpha (TNF-α) play important roles in inflammatory pain. Tanshinone IIA (TIIA) is an important component of Danshen, a traditional Chinese medicine that has been commonly used to treat cardiovascular disease. In this study, we investigated the potential anti-inflammatory nociceptive effects of TIIA on complete Freund's adjuvant (CFA)-induced inflammation and inflammatory pain in rats. The effects of TIIA on CFA-induced thermal and mechanical hypersensitivity were investigated using behavioral tests. The levels of ERKs, nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) and transient receptor potential vanilloid 1 (TRPV1) in the fifth segment of the lumbar spinal cord (L5) ganglia were detected by Western blot, and the levels of mRNA and protein production of IL1-β, IL-6 and TNF-α were detected by real-time reverse transcription polymerase chain reaction (RT-PCR) and enzyme-linked immuno sorbent assay (ELISA). In this study, we found that TIIA attenuates the development of CFA-induced mechanical and thermal hypersensitivity. In addition, p-ERK and NF-κB expression levels were inhibited by TIIA, and the levels of the pro-inflammatory cytokines IL-1β, IL-6 and TNF-α were reduced. Finally, we found that the expression level of TRPV1 was significantly decreased after TIIA injection. This study demonstrated that TIIA has significant anti-nociceptive effects in a rat model of CFA-induced inflammatory pain. TIIA can inhibit the activation of ERK signaling pathways and the expression of pro-inflammatory cytokines. These results suggest that TIIA may be a potential anti-inflammatory and anti-nociceptive drug. Copyright © 2012 Elsevier Inc. All rights reserved.

  15. A Longitudinal Multilevel CFA-MTMM Model for Interchangeable and StructurallyDifferent Methods

    Directory of Open Access Journals (Sweden)

    Tobias eKoch

    2014-04-01

    Full Text Available One of the key interests in the social sciences is the investigation of change and stability of a given attribute. Although numerous models have been proposed in the past for analyzing longitudinal data including multilevel and/or latent variable modeling approaches, only few modeling approaches have been developed for studying the construct validity in longitudinal multitrait-multimethod (MTMM measurement designs. The aim of the present study was to extend the spectrum of current longitudinal modeling approaches for MTMM analysis. Specifically, a new longitudinal multilevel CFA-MTMM model for measurement designs with structurally different and interchangeable methods (called Latent-State-Combination-Of-Methods model, LS-COM is presented. Interchangeable methods are methods that are randomly sampled from a set of equivalent methods (e.g., multiple student ratings for teaching quality, whereas structurally different methods are methods that cannot be easily replaced by one another (e.g., teacher, self-ratings, principle ratings. Results of a simulation study indicate that the parameters and standard errors in the LS-COM model are well recovered even in conditions with only 5 observations per estimated model parameter. The advantages and limitations of the LS-COM model relative to other longitudinal MTMM modeling approaches are discussed.

  16. A longitudinal multilevel CFA-MTMM model for interchangeable and structurally different methods.

    Science.gov (United States)

    Koch, Tobias; Schultze, Martin; Eid, Michael; Geiser, Christian

    2014-01-01

    One of the key interests in the social sciences is the investigation of change and stability of a given attribute. Although numerous models have been proposed in the past for analyzing longitudinal data including multilevel and/or latent variable modeling approaches, only few modeling approaches have been developed for studying the construct validity in longitudinal multitrait-multimethod (MTMM) measurement designs. The aim of the present study was to extend the spectrum of current longitudinal modeling approaches for MTMM analysis. Specifically, a new longitudinal multilevel CFA-MTMM model for measurement designs with structurally different and interchangeable methods (called Latent-State-Combination-Of-Methods model, LS-COM) is presented. Interchangeable methods are methods that are randomly sampled from a set of equivalent methods (e.g., multiple student ratings for teaching quality), whereas structurally different methods are methods that cannot be easily replaced by one another (e.g., teacher, self-ratings, principle ratings). Results of a simulation study indicate that the parameters and standard errors in the LS-COM model are well recovered even in conditions with only five observations per estimated model parameter. The advantages and limitations of the LS-COM model relative to other longitudinal MTMM modeling approaches are discussed.

  17. Factor Structure and Reliability of the Childhood Trauma Questionnaire and Prevalence Estimates of Trauma for Male and Female Street Youth

    Science.gov (United States)

    Forde, David R.; Baron, Stephen W.; Scher, Christine D.; Stein, Murray B.

    2012-01-01

    This study examines the psychometric properties of the Childhood Trauma Questionnaire short form (CTQ-SF) with street youth who have run away or been expelled from their homes (N = 397). Internal reliability coefficients for the five clinical scales ranged from 0.65 to 0.95. Confirmatory Factor Analysis (CFA) was used to test the five-factor…

  18. Confirmatory factor analysis of the Frommelt Attitude Toward Care of the Dying Scale (FATCOD-B) among Italian medical students.

    Science.gov (United States)

    Leombruni, Paolo; Loera, Barbara; Miniotti, Marco; Zizzi, Francesca; Castelli, Lorys; Torta, Riccardo

    2015-10-01

    A steady increase in the number of patients requiring end-of-life care has been observed during the last decades. The assessment of healthcare students' attitudes toward end-of-life care is an important step in their curriculum, as it provides information about their disposition to practice palliative medicine. The Frommelt Attitude Toward Care of the Dying Scale (FATCOD-B) was developed to detect such a disposition, but its psychometric properties are yet to be clearly defined. A convenience sample of 608 second-year medical students participated in our study in the 2012/2013 and 2013/2014 academic years. All participants completed the FATCOD-B. The sample was randomly divided in two subsamples. In the item analysis, reliability (Cronbach's α), internal consistency (item-total correlations), and an exploratory factor analysis (EFA) were conducted using the first subsample (n = 300). Using the second subsample (n = 308), confirmatory factor analysis (CFA) was performed using the robust ML method in the Lisrel program. Reliability for all items was 0.699. Item-total correlations, ranging from 0.03 to 0.39, were weak. EFA identified a two-dimensional orthogonal solution, explaining 20% of total variance. CFA upheld the two-dimensional model, but the loadings on the dimensions and their respective indicators were weak and equal to zero for certain items. The findings of the present study suggest that the FATCOD-B measures a two-dimensional construct and that several items seem in need of revision. Future research oriented toward building a revised version of the scale should pay attention to item ambiguity and take particular care to distinguish among items that concern emotions and beliefs related to end-of-life care, as well as their subjects (e.g., the healthcare provider, the patient, his family).

  19. VizieR Online Data Catalog: CfA4: light curves for 94 type Ia SNe (Hicken+, 2012)

    Science.gov (United States)

    Hicken, M.; Challis, P.; Kirshner, R. P.; Rest, A.; Cramer, C. E.; Wood-Vasey, W. M.; Bakos, G.; Berlind, P.; Brown, W. R.; Caldwell, N.; Calkins, M.; Currie, T.; de Kleer, K.; Esquerdo, G.; Everett, M.; Falco, E.; Fernandez, J.; Friedman, A. S.; Groner, T.; Hartman, J.; Holman, M. J.; Hutchins, R.; Keys, S.; Kipping, D.; Latham, D.; Marion, G. H.; Narayan, G.; Pahre, M.; Pal, A.; Peters, W.; Perumpilly, G.; Ripman, B.; Sipocz, B.; Szentgyorgyi, A.; Tang, S.; Torres, M. A. P.; Vaz, A.; Wolk, S.; Zezas, A.

    2012-07-01

    The CfA4 sample consists of 5522 light-curve points. All 94 SNe have BVr'i' measurements, while 14 have U and 12 have u'. The CfA4 data were obtained on the 1.2m telescope at the FLWO using the single-chip, four-amplifier CCD KeplerCam. CfA4 data processing followed the same three steps used for CfA3: reduction, calibration, and host-galaxy subtraction (see Hicken et al. 2009, Cat. J/ApJ/700/331 for a more detailed treatment). (4 data files).

  20. RESEARCH INFLUENCE OF BOUNDARY CONDITIONS ON THE MOVE OF CFA PILE UNDER STATIC LOADS

    Directory of Open Access Journals (Sweden)

    Eschenko O. Y.

    2013-12-01

    Full Text Available The article discusses the influence of boundary conditions on the numerical results of displacement CFA piles under static loads. Comparative evaluation of the results of calculation of single movements of CFA piles to the extent of the computational domain, the number of grid points, FEM convergence criterion calculation has been presented. The recommendations on the appointment of the size of the computational domain in the vertical and horizontal direction, the number of grid points, FEM numerical value and choice to apply the criteria of convergence have been listed. On the example of calculating the movements of a single CFA piles we have chosen the parameters of the numerical model, eliminating the influence of boundary conditions on the results of the calculation

  1. CFA-7: an interpenetrated metal-organic framework of the MFU-4 family.

    Science.gov (United States)

    Schmieder, Phillip; Grzywa, Maciej; Denysenko, Dmytro; Hambach, Manuel; Volkmer, Dirk

    2015-08-07

    The novel interpenetrated metal-organic framework CFA-7 (Coordination Framework Augsburg University-7), [Zn5Cl4(tqpt)3], has been synthesized containing the organic linker {H2-tqpt = 6,6,14,14-tetramethyl-6,14-dihydroquinoxalino[2,3-b]phenazinebistriazole}. Reaction of H2-tqpt and anhydrous ZnCl2 in N,N-dimethylformamide (DMF) yields CFA-7 as pseudo-cubic crystals. CFA-7 serves as precursor for the synthesis of isostructural frameworks with redox-active metal centers, which is demonstrated by postsynthetic metal exchange of Zn(2+) by different M(2+) (M = Co, Ni, Cu) ions. The novel framework is robust upon solvent removal and has been structurally characterized by single-crystal X-ray diffraction, TGA and IR spectroscopy, as well as gas sorption (Ar, CO2 and H2).

  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. A Chimeric protein of CFA/I, CS6 subunits and LTB/STa toxoid protects immunized mice against enterotoxigenic Escherichia coli.

    Science.gov (United States)

    Zeinalzadeh, Narges; Salmanian, Ali Hatef; Goujani, Goli; Amani, Jafar; Ahangari, Ghasem; Akhavian, Asal; Jafari, Mahyat

    2017-07-01

    Enterotoxigenic Escherichia Coli (ETEC) strains are the commonest bacteria causing diarrhea in children in developing countries and travelers to these areas. Colonization factors (CFs) and enterotoxins are the main virulence determinants in ETEC pathogenesis. Heterogeneity of CFs is commonly considered the bottleneck to developing an effective vaccine. It is believed that broad spectrum protection against ETEC would be achieved by induced anti-CF and anti-enterotoxin immunity simultaneously. Here, a fusion antigen strategy was used to construct a quadrivalent recombinant protein called 3CL and composed of CfaB, a structural subunit of CFA/I, and CS6 structural subunits, LTB and STa toxoid of ETEC. Its anti-CF and antitoxin immunogenicity was then assessed. To achieve high-level expression, the 3CL gene was synthesized using E. coli codon bias. Female BALB/C mice were immunized with purified recombinant 3CL. Immunized mice developed antibodies that were capable of detecting each recombinant subunit in addition to native CS6 protein and also protected the mice against ETEC challenge. Moreover, sera from immunized mice also neutralized STa toxin in a suckling mouse assay. These results indicate that 3CL can induce anti-CF and neutralizing antitoxin antibodies along with introducing CFA/I as a platform for epitope insertion. © 2017 The Societies and John Wiley & Sons Australia, Ltd.

  4. Development of an instrument to measure behavioral health function for work disability: item pool construction and factor analysis.

    Science.gov (United States)

    Marfeo, Elizabeth E; Ni, Pengsheng; Haley, Stephen M; Jette, Alan M; Bogusz, Kara; Meterko, Mark; McDonough, Christine M; Chan, Leighton; Brandt, Diane E; Rasch, Elizabeth K

    2013-09-01

    To develop a broad set of claimant-reported items to assess behavioral health functioning relevant to the Social Security disability determination processes, and to evaluate the underlying structure of behavioral health functioning for use in development of a new functional assessment instrument. Cross-sectional. Community. Item pools of behavioral health functioning were developed, refined, and field tested in a sample of persons applying for Social Security disability benefits (N=1015) who reported difficulties working because of mental or both mental and physical conditions. None. Social Security Administration Behavioral Health (SSA-BH) measurement instrument. Confirmatory factor analysis (CFA) specified that a 4-factor model (self-efficacy, mood and emotions, behavioral control, social interactions) had the optimal fit with the data and was also consistent with our hypothesized conceptual framework for characterizing behavioral health functioning. When the items within each of the 4 scales were tested in CFA, the fit statistics indicated adequate support for characterizing behavioral health as a unidimensional construct along these 4 distinct scales of function. This work represents a significant advance both conceptually and psychometrically in assessment methodologies for work-related behavioral health. The measurement of behavioral health functioning relevant to the context of work requires the assessment of multiple dimensions of behavioral health functioning. Specifically, we identified a 4-factor model solution that represented key domains of work-related behavioral health functioning. These results guided the development and scale formation of a new SSA-BH instrument. Copyright © 2013 American Congress of Rehabilitation Medicine. Published by Elsevier Inc. All rights reserved.

  5. [18F]CFA as a clinically translatable probe for PET imaging of deoxycytidine kinase activity.

    Science.gov (United States)

    Kim, Woosuk; Le, Thuc M; Wei, Liu; Poddar, Soumya; Bazzy, Jimmy; Wang, Xuemeng; Uong, Nhu T; Abt, Evan R; Capri, Joseph R; Austin, Wayne R; Van Valkenburgh, Juno S; Steele, Dalton; Gipson, Raymond M; Slavik, Roger; Cabebe, Anthony E; Taechariyakul, Thotsophon; Yaghoubi, Shahriar S; Lee, Jason T; Sadeghi, Saman; Lavie, Arnon; Faull, Kym F; Witte, Owen N; Donahue, Timothy R; Phelps, Michael E; Herschman, Harvey R; Herrmann, Ken; Czernin, Johannes; Radu, Caius G

    2016-04-12

    Deoxycytidine kinase (dCK), a rate-limiting enzyme in the cytosolic deoxyribonucleoside (dN) salvage pathway, is an important therapeutic and positron emission tomography (PET) imaging target in cancer. PET probes for dCK have been developed and are effective in mice but have suboptimal specificity and sensitivity in humans. To identify a more suitable probe for clinical dCK PET imaging, we compared the selectivity of two candidate compounds-[(18)F]Clofarabine; 2-chloro-2'-deoxy-2'-[(18)F]fluoro-9-β-d-arabinofuranosyl-adenine ([(18)F]CFA) and 2'-deoxy-2'-[(18)F]fluoro-9-β-d-arabinofuranosyl-guanine ([(18)F]F-AraG)-for dCK and deoxyguanosine kinase (dGK), a dCK-related mitochondrial enzyme. We demonstrate that, in the tracer concentration range used for PET imaging, [(18)F]CFA is primarily a substrate for dCK, with minimal cross-reactivity. In contrast, [(18)F]F-AraG is a better substrate for dGK than for dCK. [(18)F]CFA accumulation in leukemia cells correlated with dCK expression and was abrogated by treatment with a dCK inhibitor. Although [(18)F]CFA uptake was reduced by deoxycytidine (dC) competition, this inhibition required high dC concentrations present in murine, but not human, plasma. Expression of cytidine deaminase, a dC-catabolizing enzyme, in leukemia cells both in cell culture and in mice reduced the competition between dC and [(18)F]CFA, leading to increased dCK-dependent probe accumulation. First-in-human, to our knowledge, [(18)F]CFA PET/CT studies showed probe accumulation in tissues with high dCK expression: e.g., hematopoietic bone marrow and secondary lymphoid organs. The selectivity of [(18)F]CFA for dCK and its favorable biodistribution in humans justify further studies to validate [(18)F]CFA PET as a new cancer biomarker for treatment stratification and monitoring.

  6. Pharmacokinetic/Pharmacodynamic Relationship of Gabapentin in a CFA-induced Inflammatory Hyperalgesia Rat Model

    DEFF Research Database (Denmark)

    Larsen, Malte Selch; Keizer, Ron; Munro, Gordon

    2016-01-01

    PURPOSE: Gabapentin displays non-linear drug disposition, which complicates dosing for optimal therapeutic effect. Thus, the current study was performed to elucidate the pharmacokinetic/pharmacodynamic (PKPD) relationship of gabapentin's effect on mechanical hypersensitivity in a rat model of CFA......-induced inflammatory hyperalgesia. METHODS: A semi-mechanistic population-based PKPD model was developed using nonlinear mixed-effects modelling, based on gabapentin plasma and brain extracellular fluid (ECF) time-concentration data and measurements of CFA-evoked mechanical hyperalgesia following administration...

  7. Hidden Broad Line Seyfert 2 Galaxies in the CfA and 12micron Samples

    OpenAIRE

    Tran, Hien D.

    2001-01-01

    We report the results of a spectropolarimetric survey of the CfA and 12micron samples of Seyfert 2 galaxies (S2s). Polarized (hidden) broad line regions (HBLRs) are confirmed in a number of galaxies, and several new cases (F02581-1136, MCG -3-58-7, NGC 5995, NGC 6552, NGC 7682) are reported. The 12micron S2 sample shows a significantly higher incidence of HBLR (50%) than its CfA counterpart (30%), suggesting that the latter may be incomplete in hidden AGNs. Compared to the non-HBLR S2s, the H...

  8. Confirmatory factor analysis of the German Readiness for Interprofessional Learning Scale (RIPLS-D).

    Science.gov (United States)

    Mahler, Cornelia; Giesler, Marianne; Stock, Christian; Krisam, Johannes; Karstens, Sven; Szecsenyi, Joachim; Krug, Katja

    2016-05-01

    Over the past five years, the development of interprofessional education programmes has been gaining momentum in Germany fostering the need to evaluate these with appropriate instruments. Instead of developing a new instrument for evaluation purposes, the Readiness for Interprofessional Learning Scale (RIPLS) was chosen, as it is a widespread instrument that has been used in a variety of different educational settings and countries. The German version of the RIPLS was administered in two sites to health professional students in Heidelberg and Freiburg, Germany. Cronbach's alpha was used to examine internal consistency. Confirmatory factor analysis (CFA) was performed for confirmation of the underlying factor structure of the RIPLS-D. In total, 531 questionnaires were analysed. The instrument showed overall reliability (0.81) and low reliability (< 0.7) in the subscales. The underlying factor structure could not be confirmed. These results contribute further evidence on deficits with the RIPLS. Despite known issues, the RIPLS continues to be translated and applied. This paper highlights the problematic issues in the RIPLS-D and does not recommend its use.

  9. Confirmatory Factor Analysis of the Behavior Rating Inventory of Executive Function-Adult Version in Healthy Adults and Application to Attention-Deficit/Hyperactivity Disorder

    Science.gov (United States)

    Roth, Robert M.; Lance, Charles E.; Isquith, Peter K.; Fischer, Adina S.; Giancola, Peter R.

    2013-01-01

    The Behavior Rating Inventory of Executive Function-Adult Version (BRIEF-A) is a questionnaire measure designed to assess executive functioning in everyday life. Analysis of data from the BRIEF-A standardization sample yielded a two-factor solution (labeled Behavioral Regulation and Metacognition). The present investigation employed confirmatory factor analysis (CFA) to evaluate four alternative models of the factor structure of the BRIEF-A self-report form in a sample of 524 healthy young adults. Results indicated that a three-factor model best fits the data: a Metacognition factor, a Behavioral Regulation factor consisting of the Inhibit and Self-Monitor scales, and an Emotional Regulation factor composed of the Emotional Control and Shift scales. The three factors contributed 14%, 19%, and 24% of unique variance to the model, respectively, and a second-order general factor accounted for 41% of variance overall. This three-factor solution is consistent with recent CFAs of the Parent report form of the BRIEF. Furthermore, although the Behavioral Regulation factor score in the two-factor model did not differ between adults with attention-deficit/hyperactivity disorder and a matched healthy comparison group, greater impairment on the Behavioral Regulation factor but not the Emotional Regulation factor was found using the three-factor model. Together, these findings support the multidimensional nature of executive function and the clinical relevance of a three-factor model of the BRIEF-A. PMID:23676185

  10. Optical projection tomography reveals dynamics of HEV growth after immunization with protein plus CFA and features shared with HEVs in acute autoinflammatory lymphadenopathy.

    Science.gov (United States)

    Kumar, Varsha; Chyou, Susan; Stein, Jens V; Lu, Theresa T

    2012-01-01

    The vascular-stromal compartment of lymph nodes is important for lymph node function, and high endothelial venules (HEVs) play a critical role in controlling the entry of recirculating lymphocytes. In autoimmune and autoinflammatory diseases, lymph node swelling is often accompanied by apparent HEV expansion and, potentially, targeting HEV expansion could be used therapeutically to limit autoimmunity. In previous studies using mostly flow cytometry analysis, we defined three differentially regulated phases of lymph node vascular-stromal growth: initiation, expansion, and the re-establishment of vascular quiescence and stabilization. In this study, we use optical projection tomography to better understand the morphologic aspects of HEV growth upon immunization with ovalbumin/CFA (OVA/CFA). We find HEV elongation as well as modest arborization during the initiation phase, increased arborization during the expansion phase, and, finally, vessel narrowing during the re-establishment of vascular quiescence and stabilization. We also examine acutely enlarged autoinflammatory lymph nodes induced by regulatory T cell depletion and show that HEVs are expanded and morphologically similar to the expanded HEVs in OVA/CFA-stimulated lymph nodes. These results reinforce the idea of differentially regulated, distinct phases of vascular-stromal growth after immunization and suggest that insights gained from studying immunization-induced lymph node vascular growth may help to understand how the lymph node vascular-stromal compartment could be therapeutically targeted in autoimmune and autoinflammatory diseases.

  11. Components of quality of life in a sample of patients with lupus: a confirmatory factor analysis and Rasch modeling of the LupusQoL.

    Science.gov (United States)

    Meseguer-Henarejos, Ana-Belén; Gascón-Cánovas, Juan-José; López-Pina, José-Antonio

    2017-08-01

    The objective of this study was to test different exploratory solutions to the LupusQoL scale in a sample of Spanish patients with SLE using confirmatory factor analysis (CFA) and Rasch modeling, as well as to estimate the convergent validity. The χ (2) test, RMSEA, CFI, and TLI were used to test the fit of the different exploratory structures with CFA. To estimate the parameters in the dimensions found, a rating scale Rasch multidimensional random coefficient multinomial logit model was used. The reliability of the scores was obtained with coefficient alpha and coefficient omega. The convergent validity was calculated using Spearman's rho. Four hundred and fifty patients participated but complete data were available for 223 subjects. The original version (UK) and the French version obtained the best fit, showing that the proposed original structure was the best solution for the structure of the LupusQoL scale in the Spanish sample. The multidimensional solution of eight dimensions was adequate, but item 8 in physical health, item 16 in intimate relations, and items 29 and 30 obtained mean squares >1.6. Internal consistency and coefficient omega of the scores in the eight domains were higher. The Spanish version of LupusQoL correlated strongly with the corresponding SLAQ, EQ5D analogic scale, and EQ5D domain. This analysis confirmed the structure of eight dimensions of the original version in patients with SLE.

  12. CFA-1: the first chiral metal-organic framework containing Kuratowski-type secondary building units.

    Science.gov (United States)

    Schmieder, Phillip; Denysenko, Dmytro; Grzywa, Maciej; Baumgärtner, Benjamin; Senkovska, Irena; Kaskel, Stefan; Sastre, German; van Wüllen, Leo; Volkmer, Dirk

    2013-08-14

    The novel homochiral metal-organic framework CFA-1 (Coordination Framework Augsburg-1), [Zn5(OAc)4(bibta)3], containing the achiral linker {H2-bibta = 1H,1'H-5,5'-bibenzo[d][1,2,3]triazole}, has been synthesised. The reaction of H2-bibta and Zn(OAc)2·2H2O in N-methylformamide (NMF) (90 °C, 3 d) yields CFA-1 as trigonal prismatic single crystals. CFA-1 serves as a convenient precursor for the synthesis of isostructural frameworks with redox-active metal centres, which is demonstrated by the postsynthetic exchange of Zn(2+) by Co(2+) ions. The framework is robust to solvent removal and has been structurally characterized by synchrotron single-crystal X-ray diffraction and solid state NMR measurements ((13)C MAS- and (1)H MAS-NMR at 10 kHz). Results from MAS-NMR and IR spectroscopy studies are corroborated by cluster and periodic DFT calculations performed on CFA-1 cluster fragments.

  13. Developing Student Housing Quality Scale in Higher Institutions of Learning: A Factor Analysis Approach

    Directory of Open Access Journals (Sweden)

    F. K. Bondinuba

    2013-01-01

    Full Text Available The researchers developed an instrument for measuring student housing quality (SHQ in Higher Institutions of Learning (HIL in Ghana. The paper sought to validate the student housing quality scale (SHOQUAL through factor analysis approach. 700 respondents were sampled from two public HIL in Ghana in a cross-sectional survey that used a self-administered structured questionnaire for data collection. Confirmatory factor fnalysis (CFA was conducted to detect the underlying latent variables that significantly determine SHQ in Ghanaian HIL. The findings indicate that four emerged SHQ dimensions relevant to the research context were labelled as follows: core facility quality, enabling facility quality, support facility quality, and cost of housing. The constructs in the derived model possess high reliability and validity. Student housing service providers could conveniently use the derived instrument items for measuring SHQ in HIL. Implications are discussed and limitations are noted. The paper contributes to the literature in the areas of models of service quality in student housing management in HIL.

  14. Using Hospital Anxiety and Depression Scale (HADS) on patients with epilepsy: Confirmatory factor analysis and Rasch models.

    Science.gov (United States)

    Lin, Chung-Ying; Pakpour, Amir H

    2017-02-01

    The problems of mood disorders are critical in people with epilepsy. Therefore, there is a need to validate a useful tool for the population. The Hospital Anxiety and Depression Scale (HADS) has been used on the population, and showed that it is a satisfactory screening tool. However, more evidence on its construct validity is needed. A total of 1041 people with epilepsy were recruited in this study, and each completed the HADS. Confirmatory factor analysis (CFA) and Rasch analysis were used to understand the construct validity of the HADS. In addition, internal consistency was tested using Cronbachs' α, person separation reliability, and item separation reliability. Ordering of the response descriptors and the differential item functioning (DIF) were examined using the Rasch models. The HADS showed that 55.3% of our participants had anxiety; 56.0% had depression based on its cutoffs. CFA and Rasch analyses both showed the satisfactory construct validity of the HADS; the internal consistency was also acceptable (α=0.82 in anxiety and 0.79 in depression; person separation reliability=0.82 in anxiety and 0.73 in depression; item separation reliability=0.98 in anxiety and 0.91 in depression). The difficulties of the four-point Likert scale used in the HADS were monotonically increased, which indicates no disordering response categories. No DIF items across male and female patients and across types of epilepsy were displayed in the HADS. The HADS has promising psychometric properties on construct validity in people with epilepsy. Moreover, the additive item score is supported for calculating the cutoff. Copyright © 2016 British Epilepsy Association. Published by Elsevier Ltd. All rights reserved.

  15. Human Factors Analysis in Software Engineering

    Institute of Scientific and Technical Information of China (English)

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

    2004-01-01

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

  16. Structural characterization of CFA/III and Longus type IVb pili from enterotoxigenic Escherichia coli.

    Science.gov (United States)

    Kolappan, Subramaniapillai; Roos, Justin; Yuen, Alex S W; Pierce, Owen M; Craig, Lisa

    2012-05-01

    The type IV pili are helical filaments found on many Gram-negative pathogenic bacteria, with multiple diverse roles in pathogenesis, including microcolony formation, adhesion, and twitching motility. Many pathogenic enterotoxigenic Escherichia coli (ETEC) isolates express one of two type IV pili belonging to the type IVb subclass: CFA/III or Longus. Here we show a direct correlation between CFA/III expression and ETEC aggregation, suggesting that these pili, like the Vibrio cholerae toxin-coregulated pili (TCP), mediate microcolony formation. We report a 1.26-Å resolution crystal structure of CofA, the major pilin subunit from CFA/III. CofA is very similar in structure to V. cholerae TcpA but possesses a 10-amino-acid insertion that replaces part of the α2-helix with an irregular loop containing a 3(10)-helix. Homology modeling suggests a very similar structure for the Longus LngA pilin. A model for the CFA/III pilus filament was generated using the TCP electron microscopy reconstruction as a template. The unique 3(10)-helix insert fits perfectly within the gap between CofA globular domains. This insert, together with differences in surface-exposed residues, produces a filament that is smoother and more negatively charged than TCP. To explore the specificity of the type IV pilus assembly apparatus, CofA was expressed heterologously in V. cholerae by replacing the tcpA gene with that of cofA within the tcp operon. Although CofA was synthesized and processed by V. cholerae, no CFA/III filaments were detected, suggesting that the components of the type IVb pilus assembly system are highly specific to their pilin substrates.

  17. Congenital sensorineural deafness in Australian stumpy-tail cattle dogs is an autosomal recessive trait that maps to CFA10.

    Directory of Open Access Journals (Sweden)

    Susan Sommerlad

    Full Text Available BACKGROUND: Congenital sensorineural deafness is an inherited condition found in many dog breeds, including Australian Stumpy-tail Cattle Dogs (ASCD. This deafness is evident in young pups and may affect one ear (unilateral or both ears (bilateral. The genetic locus/loci involved is unknown for all dog breeds. The aims of this study were to determine incidence, inheritance mechanism, and possible association of congenital sensorineural deafness with coat colour in ASCD and to identify the genetic locus underpinning this disease. METHODOLOGY/PRINCIPAL FINDINGS: A total of 315 ASCD were tested for sensorineural deafness using the brain stem auditory evoked response (BAER test. Disease penetrance was estimated directly, using the ratio of unilaterally to bilaterally deaf dogs, and segregation analysis was performed using Mendel. A complete genome screen was undertaken using 325 microsatellites spread throughout the genome, on a pedigree of 50 BAER tested ASCD in which deafness was segregating. Fifty-six dogs (17.8% were deaf, with 17 bilaterally and 39 unilaterally deaf. Unilaterally deaf dogs showed no significant left/right bias (p = 0.19 and no significant difference was observed in frequencies between the sexes (p = 0.18. Penetrance of deafness was estimated as 0.72. Testing the association of red/blue coat colour and deafness without accounting for pedigree structure showed that red dogs were 1.8 times more likely to be deaf (p = 0.045. The within family association between red/blue coat colour and deafness was strongly significant (p = 0.00036, with red coat colour segregating more frequently with deafness (COR = 0.48. The relationship between deafness and coat speckling approached significance (p = 0.07, with the lack of statistical significance possibly due to only four families co-segregating for both deafness and speckling. The deafness phenotype was mapped to CFA10 (maximum linkage peak on CFA10 -log10 p

  18. 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”.

  19. 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…

  20. Investigating the Relationship between Test-Taker Background Characteristics and Test Performance in a Heterogeneous English-as-a-Second-Language (ESL) Test Population: A Factor Analytic Approach. Research Report. ETS RR-15-25

    Science.gov (United States)

    Manna, Venessa F.; Yoo, Hanwook

    2015-01-01

    This study examined the heterogeneity in the English-as-a-second-language (ESL) test population by modeling the relationship between test-taker background characteristics and test performance as measured by the "TOEFL iBT"® using a confirmatory factor analysis (CFA) with covariate approach. The background characteristics studied…

  1. A factor analytic investigation of the Tripartite model of affect in a clinical sample of young Australians

    OpenAIRE

    Cosgrave Elizabeth M; Cotton Sue M; Buckby Joe A; Killackey Eoin J; Yung Alison R

    2008-01-01

    Abstract Background The Mood and Anxiety Symptom Questionnaire (MASQ) was designed to specifically measure the Tripartite model of affect and is proposed to offer a delineation between the core components of anxiety and depression. Factor analytic data from adult clinical samples has shown mixed results; however no studies employing confirmatory factor analysis (CFA) have supported the predicted structure of distinct Depression, Anxiety and General Distress factors. The Tripartite model has n...

  2. Evidence for biasing in the CfA survey

    Science.gov (United States)

    Hamilton, A. J. S.

    1988-01-01

    Intrinsically bright galaxies appear systematically more correlated than faint galaxies in the Center for Astrophysics redshift survey. The amplification of the two-point correlation function behaves exponentially with luminosity, being essentially flat up to the knee of the luminosity function, then increasing markedly. The amplification reaches a factor of 3.5e + or - 0.4 in the very brightest galaxies. The effect is dominated by spirals rather than ellipticals, so that the correlation function of bright spirals becomes comparable to that of normal ellipticals. Similar results are obtained whether the correlation function is measured in two or three dimensions. The effect persists to separations of a correlation length or more, and is not confined to the cores of the Virgo, Coma, and Abell 1367 clusters, suggesting that the effect is caused by biasing, that is, galaxies kindle preferentially in more clustered regions, rather than by gravitational relaxation.

  3. A confirmatory factor analysis of the WMS-III in a clinical sample with crossvalidation in the standardization sample.

    Science.gov (United States)

    Bradley Burton, D; Ryan, Joseph J; Axelrod, Bradley N; Schellenberger, Tony; Richards, Heather M

    2003-08-01

    A maximum likelihood confirmatory factor analysis (CFA) of the Wechsler Memory Scale-III (WMS-III) was performed by applying LISREL 8 to a general clinical sample (n=281). Analyses were designed to determine which of seven hypothesized oblique factor solutions could best explain memory as measured by the WMS-III. Competing latent variable models were identified in previous studies. Results in the clinical sample were crossvalidated by testing all models in the WMS-III standardization samples (combined n=1,250). Findings in both the clinical and standardization samples supported a four-factor model containing auditory memory, visual memory, working memory, and learning factors. Our analysis differed from that presented in the WMS-III manual and by other authors. We tested our models in a clinical sample and included selected word list subtests in order to test the viability of a learning dimension. Consistent with prior research, we were also unable to empirically support the viability of the immediate and delayed memory indices, despite allowing the error terms between the immediate and delayed memory subtests to correlate.

  4. Bayesian Constrained-Model Selection for Factor Analytic Modeling

    OpenAIRE

    Peeters, Carel F.W.

    2016-01-01

    My dissertation revolves around Bayesian approaches towards constrained statistical inference in the factor analysis (FA) model. Two interconnected types of restricted-model selection are considered. These types have a natural connection to selection problems in the exploratory FA (EFA) and confirmatory FA (CFA) model and are termed Type I and Type II model selection. Type I constrained-model selection is taken to mean the determination of the appropriate dimensionality of a model. This type ...

  5. Cultural adaptation and validation of the Health Literacy Questionnaire (HLQ): robust nine-dimension Danish language confirmatory factor model.

    Science.gov (United States)

    Maindal, Helle Terkildsen; Kayser, Lars; Norgaard, Ole; Bo, Anne; Elsworth, Gerald R; Osborne, Richard H

    2016-01-01

    Health literacy is an important construct in population health and healthcare requiring rigorous measurement. The Health Literacy Questionnaire (HLQ), with nine scales, measures a broad perception of health literacy. This study aimed to adapt the HLQ to the Danish setting, and to examine the factor structure, homogeneity, reliability and discriminant validity. The HLQ was adapted using forward-backward translation, consensus conference and cognitive interviews (n = 15). Psychometric properties were examined based on data collected by face-to-face interview (n = 481). Tests included difficulty level, composite scale reliability and confirmatory factor analysis (CFA). Cognitive testing revealed that only minor re-wording was required. The easiest scale to respond to positively was 'Social support for health', and the hardest were 'Navigating the healthcare system' and 'Appraisal of health information'. CFA of the individual scales showed acceptably high loadings (range 0.49-0.93). CFA fit statistics after including correlated residuals were good for seven scales, acceptable for one. Composite reliability and Cronbach's α were >0.8 for all but one scale. A nine-factor CFA model was fitted to items with no cross-loadings or correlated residuals allowed. Given this restricted model, the fit was satisfactory. The HLQ appears robust for its intended application of assessing health literacy in a range of settings. Further work is required to demonstrate sensitivity to measure changes.

  6. IRAS galaxies and the large-scale structure in the CfA slice

    Science.gov (United States)

    Babul, Arif; Postman, Marc

    1990-01-01

    The spatial distributions of the IRAS and the optical galaxies in the first CfA slice are compared. The IRAS galaxies are generally less clustered than optical ones, but their distribution is essentially identical to that of late-type optical galaxies. The discrepancy between the clustering properties of the IRAS and optical samples in the CfA slice region is found to be entirely due to the paucity of IRAS galaxies in the core of the Coma cluster. The spatial distributions of the IRAS and the optical galaxies, both late and early types, outside the dense core of the Coma cluster are entirely consistent with each other. This conflicts with the prediction of the linear biasing scenario.

  7. Spinal translocator protein (TSPO) modulates pain behavior in rats with CFA-induced monoarthritis.

    Science.gov (United States)

    Hernstadt, Hayley; Wang, Shuxing; Lim, Grewo; Mao, Jianren

    2009-08-25

    Translocator protein 18 kDa (TSPO), previously known as the peripheral benzodiazepine receptor (PBR), is predominantly located in the mitochondrial outer membrane and plays an important role in steroidogenesis, immunomodulation, cell survival and proliferation. Previous studies have shown an increased expression of TSPO centrally in neuropathology, as well as in injured nerves. TSPO has also been implicated in modulation of nociception. In the present study, we examined the hypothesis that TSPO is involved in the initiation and maintenance of inflammatory pain using a rat model of Complete Freund's Adjuvant (CFA)-induced monoarthritis of the tibio-tarsal joint. Immunohistochemistry was performed using Iba-1 (microglia), NeuN (neurons), anti-Glial Fibrillary Acidic Protein, GFAP (astrocytes) and anti-PBR (TSPO) on Days 1, 7 and 14 after CFA-induced arthritis. Rats with CFA-induced monoarthritis showed mechanical allodynia and thermal hyperalgesia on the ipsilateral hindpaw, which correlated with the increased TSPO expression in ipsilateral laminae I-II on all experimental days. Iba-1 expression in the ipsilateral dorsal horn was also increased on Days 7 and 14. Moreover, TSPO was colocalized with Iba-1, GFAP and NeuN within the spinal cord dorsal horn. The TSPO agonist Ro5-4864, given intrathecally, dose-dependently retarded or prevented the development of mechanical allodynia and thermal hyperalgesia in rats with CFA-induced monoarthritis. These findings provide evidence that spinal TSPO is involved in the development and maintenance of inflammatory pain behaviors in rats. Thus, spinal TSPO may present a central target as a complementary therapy to reduce inflammatory pain.

  8. Redshifts for a sample of fainter galaxies in the first CfA survey slice

    Science.gov (United States)

    Thorstensen, J. R.; Wegner, G. A.; Hamwey, R.; Boley, F.; Geller, M. J.

    1989-01-01

    Redshifts were measured for 93 of the 94 galaxies in the Zwicky-Nilson merged catalog with the value of m(B/01) between 15.5 and 15.7 and with right ascension alpha between 8(h) and 17(h) and declination delta between 29 and 30 deg. This region is within the one covered by the first slice of the CfA (Center for Astrophysics) survey. The galaxies reinforce features already visible in the earlier survey.

  9. G-Channel Restoration for RWB CFA with Double-Exposed W Channel

    Directory of Open Access Journals (Sweden)

    Chulhee Park

    2017-02-01

    Full Text Available In this paper, we propose a green (G-channel restoration for a red–white–blue (RWB color filter array (CFA image sensor using the dual sampling technique. By using white (W pixels instead of G pixels, the RWB CFA provides high-sensitivity imaging and an improved signal-to-noise ratio compared to the Bayer CFA. However, owing to this high sensitivity, the W pixel values become rapidly over-saturated before the red–blue (RB pixel values reach the appropriate levels. Because the missing G color information included in the W channel cannot be restored with a saturated W, multiple captures with dual sampling are necessary to solve this early W-pixel saturation problem. Each W pixel has a different exposure time when compared to those of the R and B pixels, because the W pixels are double-exposed. Therefore, a RWB-to-RGB color conversion method is required in order to restore the G color information, using a double-exposed W channel. The proposed G-channel restoration algorithm restores G color information from the W channel by considering the energy difference caused by the different exposure times. Using the proposed method, the RGB full-color image can be obtained while maintaining the high-sensitivity characteristic of the W pixels.

  10. G-Channel Restoration for RWB CFA with Double-Exposed W Channel.

    Science.gov (United States)

    Park, Chulhee; Song, Ki Sun; Kang, Moon Gi

    2017-02-05

    In this paper, we propose a green (G)-channel restoration for a red-white-blue (RWB) color filter array (CFA) image sensor using the dual sampling technique. By using white (W) pixels instead of G pixels, the RWB CFA provides high-sensitivity imaging and an improved signal-to-noise ratio compared to the Bayer CFA. However, owing to this high sensitivity, the W pixel values become rapidly over-saturated before the red-blue (RB) pixel values reach the appropriate levels. Because the missing G color information included in the W channel cannot be restored with a saturated W, multiple captures with dual sampling are necessary to solve this early W-pixel saturation problem. Each W pixel has a different exposure time when compared to those of the R and B pixels, because the W pixels are double-exposed. Therefore, a RWB-to-RGB color conversion method is required in order to restore the G color information, using a double-exposed W channel. The proposed G-channel restoration algorithm restores G color information from the W channel by considering the energy difference caused by the different exposure times. Using the proposed method, the RGB full-color image can be obtained while maintaining the high-sensitivity characteristic of the W pixels.

  11. Estimation of color modification in digital images by CFA pattern change.

    Science.gov (United States)

    Choi, Chang-Hee; Lee, Hae-Yeoun; Lee, Heung-Kyu

    2013-03-10

    Extensive studies have been carried out for detecting image forgery such as copy-move, re-sampling, blurring, and contrast enhancement. Although color modification is a common forgery technique, there is no reported forensic method for detecting this type of manipulation. In this paper, we propose a novel algorithm for estimating color modification in images acquired from digital cameras when the images are modified. Most commercial digital cameras are equipped with a color filter array (CFA) for acquiring the color information of each pixel. As a result, the images acquired from such digital cameras include a trace from the CFA pattern. This pattern is composed of the basic red green blue (RGB) colors, and it is changed when color modification is carried out on the image. We designed an advanced intermediate value counting method for measuring the change in the CFA pattern and estimating the extent of color modification. The proposed method is verified experimentally by using 10,366 test images. The results confirmed the ability of the proposed method to estimate color modification with high accuracy. Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

  12. Simulation of a distributed current source in a linear format CFA

    Science.gov (United States)

    Pearlman, Marcus; Browning, Jim

    2015-11-01

    A fundamental limit on Crossed-Field Amplifiers (CFA) gain is beam to RF power ratio. With too much beam power, the RF signal on the slow wave circuit is ``swamped.'' It is proposed here that a controllable, distributed cathode source can be used to tailor current injection and optimize gain. In this work a linear format CFA with a meander line slow wave circuit is tested experimentally and numerically using Vsim. Simulations of the original design, which operates at 900 MHz, shows 100 mA. This beam current is higher than the capabilities of the Field Emitter Array cathodes available to the group; therefore no experimental gain was observed. To be able to compare simulation to experiment, the CFA model under study was changed to the experiment used at Northeastern University in 1991, which also uses a meander line circuit and an injected beam configuration. Direct comparisons between the simulation and this experiment are performed to validate the model. Additional simulations study the effect of different current distributions on gain, bandwidth, and efficiency. Practical considerations such as how to control the energy of the beam separately from the sole potential in order to minimize lost current to sole are also examined. This research was supported by the Air Force Office of Scientific Research and the department of Electrical and Computer Engineering at Boise State University.

  13. Dissociated induction of cytotoxicity and DTH by CFA and CpG.

    Science.gov (United States)

    Tigno-Aranjuez, Justine T; Lehmann, Paul V; Tary-Lehmann, Magdalena

    2009-05-01

    Vaccinations typically rely on immunization with live virus for eliciting protective CD8 T cell immunity. There is increasing interest to use subunit vaccination strategies to achieve such responses. Complete Freund's adjuvant (CFA) and unmethylated cytosine-guanine dinucleotide containing DNA are considered some of the most potent adjuvants for eliciting immunity. Whereas a wealth of information is available on how these adjuvants affect CD4 T cell responses, their effects on engaging CD8 T cell immunity are not completely understood. We immunized C57BL/6J mice with the class I restricted peptides Uty or SIINFEKL using these 2 adjuvants and tested for cytokine secretion, proliferation, in vivo cytotoxicity, and delayed-type hypersensitivity (DTH). Our data show that CFA-induced CD8 T cells to proliferate, mediate DTH, and to secrete interferon-gamma, interleukin (IL)-2 and IL-17. Despite these markers of CD8 T cell activation, CFA failed to induce an early cytotoxic CD8 T cell response. In contrast, unmethylated cytosine-guanine dinucleotide containing DNA promoted a vigorous cytolytic response without activating substantial cytokine production, proliferation or DTH. These data have implications for CD8 T cell subunit vaccine design in which cytotoxicity versus DTH plays a key role in host defense.

  14. Statistical inference of Minimum Rank Factor Analysis

    NARCIS (Netherlands)

    Shapiro, A; Ten Berge, JMF

    2002-01-01

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

  15. Statistical inference of Minimum Rank Factor Analysis

    NARCIS (Netherlands)

    Shapiro, A; Ten Berge, JMF

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

  16. PROGNOSTIC FACTORS ANALYSIS FOR STAGEⅠ RECTAL CANCER

    Institute of Scientific and Technical Information of China (English)

    武爱文; 顾晋; 薛钟麒; 王怡; 徐光炜

    2001-01-01

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

  17. Kernel Factor Analysis Algorithm with Varimax

    Institute of Scientific and Technical Information of China (English)

    Xia Guoen; Jin Weidong; Zhang Gexiang

    2006-01-01

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

  18. Intra-articular administration of an antibody against CSF-1 receptor reduces pain-related behaviors and inflammation in CFA-induced knee arthritis.

    Science.gov (United States)

    Alvarado-Vazquez, P A; Morado-Urbina, C E; Castañeda-Corral, G; Acosta-Gonzalez, R I; Kitaura, H; Kimura, K; Takano-Yamamoto, T; Jiménez-Andrade, J M

    2015-01-01

    Several studies have shown that blockade of colony stimulating factor-1 (CSF-1) or its receptor (CSF-1R) inhibits disease progression in rodent models of rheumatoid arthritis (RA); however, the role of the CSF-1/CSF-1R pathway in RA-induced pain and functional deficits has not been studied. Thus, we examined the effect of chronic intra-articular administration of a monoclonal anti-CSF-1R antibody (AFS98) on spontaneous pain, knee edema and functional disabilities in mice with arthritis. Unilateral arthritis was produced by multiple injections of complete Freund's adjuvant (CFA) into the right knee joint of adult male ICR mice. CFA-injected mice were then treated twice weekly from day 10 until day 25 with anti-CSF-1R antibody (3 and 10 μg/5 μL per joint), isotype control (rat IgG 10 μg/5 μL per joint) or PBS (5 μl/joint). Knee edema, spontaneous flinching, vertical rearing and horizontal exploratory activity were assessed at different days. Additionally, counts of peripheral leukocytes and body weight were measured to evaluate general health status. Intra-articular treatment with anti-CSF-1R antibody significantly increased horizontal exploratory activity and vertical rearing as well as reduced spontaneous flinching behavior and knee edema as compared to CFA-induced arthritis mice treated with PBS. Treatment with this antibody neither significantly affect mouse body weight nor the number of peripheral leukocytes. These results suggest that blockade of CSF-1R at the initial injury site (joint) could represent a therapeutic alternative for improving the functional disabilities and attenuating pain and inflammation in patients with RA. Copyright © 2014 Elsevier Ireland Ltd. All rights reserved.

  19. The Strengths and Difficulties Questionnaire (SDQ): Factor Structure and Gender Equivalence in Norwegian Adolescents.

    Science.gov (United States)

    Bøe, Tormod; Hysing, Mari; Skogen, Jens Christoffer; Breivik, Kyrre

    2016-01-01

    Although frequently used with older adolescents, few studies of the factor structure, internal consistency and gender equivalence of the SDQ exists for this age group, with inconsistent findings. In the present study, confirmatory factor analysis (CFA) was used to evaluate the five-factor structure of the SDQ in a population sample of 10,254 16-18 year-olds from the youth@hordaland study. Measurement invariance across gender was assessed using multigroup CFA. A modestly modified five-factor solution fitted the data acceptably, accounting for one cross loading and some local dependencies. Importantly, partial measurement non-invariance was identified, with differential item functioning in eight items, and higher correlations between emotional and conduct problems for boys compared to girls. Implications for use clinically and in research are discussed.

  20. The Strengths and Difficulties Questionnaire (SDQ: Factor Structure and Gender Equivalence in Norwegian Adolescents.

    Directory of Open Access Journals (Sweden)

    Tormod Bøe

    Full Text Available Although frequently used with older adolescents, few studies of the factor structure, internal consistency and gender equivalence of the SDQ exists for this age group, with inconsistent findings. In the present study, confirmatory factor analysis (CFA was used to evaluate the five-factor structure of the SDQ in a population sample of 10,254 16-18 year-olds from the youth@hordaland study. Measurement invariance across gender was assessed using multigroup CFA. A modestly modified five-factor solution fitted the data acceptably, accounting for one cross loading and some local dependencies. Importantly, partial measurement non-invariance was identified, with differential item functioning in eight items, and higher correlations between emotional and conduct problems for boys compared to girls. Implications for use clinically and in research are discussed.

  1. 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

  2. Induction of the 'ASIA' syndrome in NZB/NZWF1 mice after injection of complete Freund's adjuvant (CFA).

    Science.gov (United States)

    Bassi, N; Luisetto, R; Del Prete, D; Ghirardello, A; Ceol, M; Rizzo, S; Iaccarino, L; Gatto, M; Valente, M L; Punzi, L; Doria, A

    2012-02-01

    Adjuvants, commonly used in vaccines, may be responsible for inducing autoimmunity and autoimmune diseases, both in humans and mice. The so-called 'ASIA' (Autoimmune/inflammatory Syndrome Induced by Adjuvants) syndrome has been recently described, which is caused by the exposure to a component reproducing the effect of adjuvants. The aim of our study was to evaluate the effect of injection of complete Freund's adjuvant (CFA) in NZB/NZWF1 mice, a lupus-prone murine model. We injected 10 NZB/NZWF1 mice with CFA/PBS and 10 with PBS, three times, 3 weeks apart, and followed-up until natural death. CFA-injected mice developed both anti-double-stranded DNA and proteinuria earlier and at higher levels than the control group. Proteinuria-free survival rate and survival rate were significantly lower in CFA-treated mice than in the control mice (p = 0.002 and p = 0.001, respectively). Histological analyses showed a more severe glomerulonephritis in CFA-injected mice compared with the control mice. In addition, lymphoid hyperplasia in spleen and lungs, myocarditis, and vasculitis were observed in the former, but not in the latter group. In conclusion, the injection of CFA in NZB/NZWF1 mice accelerated autoimmune manifestations resembling 'ASIA' syndrome in humans.

  3. Confirmatory Factor Analysis of the School-Based Assessment Evaluation Scale Among Teachers

    Directory of Open Access Journals (Sweden)

    Nor Hasnida Che Md. Ghazali

    2016-09-01

    Full Text Available The school-based assessment (SBA system is a holistic assessment system that is conducted in schools by subject teachers in assessing the students cognitive (intellect, affective (emotional and spiritual and psychomotor (physical aspects. It is in line with the National Philosophy of Education and the Standards-based School Curriculum in Malaysia. In order to evaluate the implementation of SBA, a measurement scale was validated. Questionnaire was used as an instrument for data collection. 776 primary and secondary school teachers were selected as respondents using stratified random sampling. The data was analyzed with SPSS and AMOS version 18. The aim of this paper was to explore different factor structures of the SBA evaluation scale by using the second-order Confirmatory Factor Analysis. Results indicated that the SBA evaluation model was a valid and reliable scale. The input measurement model was validated with two factors (personnel qualifications and physical infrastructure, process measurement model was validated with six factors (‘attitude’, ‘understanding’, ‘skills’, ‘challenges’, ‘moderation’ and ‘monitoring’ and product measurement model was validated with two factors (‘students’ attitude’ and ‘students’ motivation’. This study provides support for using a valid instrument in evaluating the implementation of SBA in schools. Furthermore, the CFA procedures used supported the conceptual framework set out earlier. Thus, it presents clearly the importance of the evaluation process of any education system to follow all the dimensions outlined in the evaluation model proposed by Daniel Stufflebeam.       Sistem Penilaian Berbasis Sekolah (SBA adalah sistem penilaian holistik yang dilakukan di sekolah-sekolah oleh guru mata pelajaran dalam menilai kognitif (kecerdasan, afektif (emosional dan spiritual dan psikomotorik (fisik siswa. Hal ini sejalan dengan Filsafat Pendidikan Nasional dan Kurikulum

  4. Examining the factor structure of the Multiple Sclerosis Impact Scale.

    Science.gov (United States)

    Fitzgerald, Shawn M; Li, Jian; Rumrill, Phillip D; Merchant, William; Bishop, Malachy

    2014-01-01

    The purpose of this study was to investigate the factor structure of the Multiple Sclerosis Impact Scale (MSIS-29) to assess its suitability for modeling the impact of MS on a nation-wide sample of individuals from the United States. Investigators completed a Confirmatory Factor Analysis (CFA) to examine the two-factor structure proposed by Hobart et al. [17]. Although the original MSIS-29 factor structure did not fit the data exactly, the hypothesized two-factor model was partially supported in the current data. Implications for future instrument development and rehabilitation practice are discussed.

  5. Surveys of human enterotoxigenic Escherichia coli from three different geographical areas for possible colonization factors.

    OpenAIRE

    1991-01-01

    Enterotoxigenic Escherichia coli (ETEC) from Burma, central Africa (Rwanda and Zaire) and Peru, were screened by enzyme-linked immunoassays for the colonization factor antigens (CFAs) and putative colonization factors (PCFs): CFA/I, CFA/II, which consists of three coli surface-associated (CS) antigens, CS1, CS2 and CS3, CFA/III, CFA/IV (CS4, CS5, CS6), CS7, PCFO9, PCFO159. H4, PCFO166, and CS17. The highest proportion of ETEC with identifiable colonization factors (71%) were found in the stra...

  6. Repeated forced swim stress enhances CFA-evoked thermal hyperalgesia and affects the expressions of pCREB and c-Fos in the insular cortex.

    Science.gov (United States)

    Imbe, H; Kimura, A; Donishi, T; Kaneoke, Y

    2014-02-14

    Stress affects brain activity and promotes long-term changes in multiple neural systems. Exposure to stressors causes substantial effects on the perception and response to pain. In several animal models, chronic stress produces lasting hyperalgesia. The insular (IC) and anterior cingulate cortices (ACC) are the regions exhibiting most reliable pain-related activity. And the IC and ACC play an important role in pain modulation via the descending pain modulatory system. In the present study we examined the expression of phospho-cAMP response element-binding protein (pCREB) and c-Fos in the IC and ACC after forced swim stress (FS) and complete Freund's adjuvant (CFA) injection to clarify changes in the cerebral cortices that affect the activity of the descending pain modulatory system in the rats with stress-induced hyperalgesia. FS (day 1, 10min; days 2-3, 20min) induced an increase in the expression of pCREB and c-Fos in the anterior IC (AIC). CFA injection into the hindpaw after the FS shows significantly enhanced thermal hyperalgesia and induced a decrease in the expression of c-Fos in the AIC and the posterior IC (PIC). Quantitative image analysis showed that the numbers of c-Fos-immunoreactive neurons in the left AIC and PIC were significantly lower in the FS+CFA group (L AIC, 95.9±6.8; L PIC, 181.9±23.1) than those in the naive group (L AIC, 151.1±19.3, pthermal hyperalgesia through dysfunction of the descending pain modulatory system.

  7. Modelling and analysis of FMS productivity variables by ISM, SEM and GTMA approach

    Science.gov (United States)

    Jain, Vineet; Raj, Tilak

    2014-09-01

    Productivity has often been cited as a key factor in a flexible manufacturing system (FMS) performance, and actions to increase it are said to improve profitability and the wage earning capacity of employees. Improving productivity is seen as a key issue for survival and success in the long term of a manufacturing system. The purpose of this paper is to make a model and analysis of the productivity variables of FMS. This study was performed by different approaches viz. interpretive structural modelling (ISM), structural equation modelling (SEM), graph theory and matrix approach (GTMA) and a cross-sectional survey within manufacturing firms in India. ISM has been used to develop a model of productivity variables, and then it has been analyzed. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) are powerful statistical techniques. CFA is carried by SEM. EFA is applied to extract the factors in FMS by the statistical package for social sciences (SPSS 20) software and confirming these factors by CFA through analysis of moment structures (AMOS 20) software. The twenty productivity variables are identified through literature and four factors extracted, which involves the productivity of FMS. The four factors are people, quality, machine and flexibility. SEM using AMOS 20 was used to perform the first order four-factor structures. GTMA is a multiple attribute decision making (MADM) methodology used to find intensity/quantification of productivity variables in an organization. The FMS productivity index has purposed to intensify the factors which affect FMS.

  8. Modelling and analysis of FMS productivity variables by ISM, SEM and GTMA approach

    Science.gov (United States)

    Jain, Vineet; Raj, Tilak

    2014-09-01

    Productivity has often been cited as a key factor in a flexible manufacturing system (FMS) performance, and actions to increase it are said to improve profitability and the wage earning capacity of employees. Improving productivity is seen as a key issue for survival and success in the long term of a manufacturing system. The purpose of this paper is to make a model and analysis of the productivity variables of FMS. This study was performed by different approaches viz. interpretive structural modelling (ISM), structural equation modelling (SEM), graph theory and matrix approach (GTMA) and a cross-sectional survey within manufacturing firms in India. ISM has been used to develop a model of productivity variables, and then it has been analyzed. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) are powerful statistical techniques. CFA is carried by SEM. EFA is applied to extract the factors in FMS by the statistical package for social sciences (SPSS 20) software and confirming these factors by CFA through analysis of moment structures (AMOS 20) software. The twenty productivity variables are identified through literature and four factors extracted, which involves the productivity of FMS. The four factors are people, quality, machine and flexibility. SEM using AMOS 20 was used to perform the first order four-factor structures. GTMA is a multiple attribute decision making (MADM) methodology used to find intensity/quantification of productivity variables in an organization. The FMS productivity index has purposed to intensify the factors which affect FMS.

  9. [Effect of electroacupuncture on phosphorylation of NR2B at Tyr 1742 site in the spinal dorsal horn of CFA rats].

    Science.gov (United States)

    Liang, Yi; Fang, Jian-Qiao; Fang, Jun-Fan; Du, Jun-Ying; Qiu, Yu-Jie; Liu, Jin

    2013-10-01

    To observe the effect of electroacupuncture (EA) on phosphorylation of spinal NR2B at Tyr 1742 site in complete Freund's adjuvant (CFA) induced inflammatory pain rats. METHods Forty male Sprague Dawley rats were randomly divided into normal group (N group, n = 10), the model group (CFA group, n = 15), and the EA group (n = 15). The inflammatory pain model was established by subcutaneous injecting CFA (0.1 mL per rat) into the right hind paw. Paw withdrawal thresholds (PWTs) were measured before CFA injection (as the base), as well as at 24 h, 25 h, 3rd day, and 7th day after CFA injection. Phosphorylation of NR2B at Tyr 1742 site in the ispilateral spinal dorsal horn at the 3rd day post-injection were detected using immunohistochemical assay. PWTs in the CFA group were significantly lower than those of the N group at every detective time point post-injection (P CFA group at 25 h and 3rd day post-injection (P CFA group was up-regulated. Compared with the CFA group, the ratio of p-NR2B positive cells in the ispilateral spinal dorsal horn of rats showed a decreasing tendency in the EA group. EA might effectively inhibit CFA-induced inflammatory pain possibly associated with down-regulating phosphorylation of NR2B at Tyr 1742 site in the ispilateral spinal dorsal horn.

  10. Plant-synthesized E. coli CFA/I fimbrial protein protects Caco-2 cells from bacterial attachment.

    Science.gov (United States)

    Lee, Jin-Yong; Yu, Jie; Henderson, David; Langridge, William H R

    2004-11-25

    A DNA fragment encoding the cholera toxin A2 subunit (CTA2) linked to the enterotoxigenic Escherichia coli (ETEC) colony forming fimbrial antigen CFA/I was inserted into a plant expression vector containing the cholera toxin B subunit (CTB) fused to the rotavirus enterotoxin 22 amino acid epitope NSP422. Anti-CFA/I antibodies recognized a single band of approximately 72-kDa in transformed potato tuber tissue consistent with CFA/I-CTA2 and CTB-NSP4 fusion protein assembly into a cholera holotoxin-like structure. Enzyme-linked immunosorbent assay (GM1 ELISA) indicated that the CFA/I-CTA2 fusion protein bound specific GM1 ganglioside membrane receptors and made up approximately 0.002% of the total soluble tuber protein. Oral immunization of BALB/c mice with transformed tuber tissues generated anti-CFA/I serum and intestinal IgG and IgA secretory antibodies. Attachment of ETEC H10407 to enterocyte-like Caco-2 human colon carcinoma cells incubated with antiserum from immunized mice was reduced by 15% in comparison with Caco-2 cells incubated with serum from unimmunized mice. Immunogold staining of bacterial preparations revealed deposition of gold particles on E. coli H10407 fimbria incubated with immune serum but not on fimbria treated with sera from unimmunized mice demonstrating the specificity of antibodies in the immune serum for binding to CFA/I protein containing fimbria. The protection against toxic E. coli binding to Caco-2 cells generated by antisera from mice immunized with plant-synthesized CFA/I antigen demonstrates the feasibility of plant-based multi-component vaccine protection against enterotoxigenic E. coli, rotavirus and cholera, three enteric diseases that together exert the highest levels of child morbidity and mortality in economically emerging countries.

  11. Improved Dark Energy Constraints From ~ 100 New CfA Supernova Type Ia Light Curves

    Energy Technology Data Exchange (ETDEWEB)

    Hicken, Malcolm; /Harvard-Smithsonian Ctr. Astrophys. /Harvard U.; Wood-Vasey, W.Michael; /Pittsburgh U.; Blondin, Stephane; /European Southern Observ.; Challis, Peter; /Harvard-Smithsonian Ctr. Astrophys.; Jha, Saurabh; /Rutgers U., Piscataway; Kelly, Patrick L.; /KIPAC, Menlo Park; Rest, Armin; /Harvard U. /Cerro-Tololo InterAmerican Obs.; Kirshner, Robert P.; /Harvard-Smithsonian Ctr. Astrophys.

    2012-04-06

    We combine the CfA3 supernovae Type Ia (SN Ia) sample with samples from the literature to calculate improved constraints on the dark energy equation of state parameter, w. The CfA3 sample is added to the Union set of Kowalski et al. to form the Constitution set and, combined with a BAO prior, produces 1 + w = 0.013{sub -0.068}{sup +0.066} (0.11 syst), consistent with the cosmological constant. The CfA3 addition makes the cosmologically useful sample of nearby SN Ia between 2.6 and 2.9 times larger than before, reducing the statistical uncertainty to the point where systematics play the largest role. We use four light-curve fitters to test for systematic differences: SALT, SALT2, MLCS2k2 (R{sub V} = 3.1), and MLCS2k2 (R{sub V} = 1.7). SALT produces high-redshift Hubble residuals with systematic trends versus color and larger scatter than MLCS2k2. MLCS2k2 overestimates the intrinsic luminosity of SN Ia with 0.7 < {Delta} < 1.2. MLCS2k2 with R{sub V} = 3.1 overestimates host-galaxy extinction while R{sub V} {approx} 1.7 does not. Our investigation is consistent with no Hubble bubble. We also find that, after light-curve correction, SN Ia in Scd/Sd/Irr hosts are intrinsically fainter than those in E/S0 hosts by 2{sigma}, suggesting that they may come from different populations. We also find that SN Ia in Scd/Sd/Irr hosts have low scatter (0.1 mag) and reddening. Current systematic errors can be reduced by improving SN Ia photometric accuracy, by including the CfA3 sample to retrain light-curve fitters, by combining optical SN Ia photometry with near-infrared photometry to understand host-galaxy extinction, and by determining if different environments give rise to different intrinsic SN Ia luminosity after correction for light-curve shape and color.

  12. Kernel parameter dependence in spatial factor analysis

    DEFF Research Database (Denmark)

    Nielsen, Allan Aasbjerg

    2010-01-01

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

  13. Multistructure Statistical Model Applied To Factor Analysis

    Science.gov (United States)

    Bentler, Peter M.

    1976-01-01

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

  14. General and specific attention-deficit/hyperactivity disorder factors of children 4 to 6 years of age: An exploratory structural equation modeling approach to assessing symptom multidimensionality.

    Science.gov (United States)

    Arias, Víctor B; Ponce, Fernando P; Martínez-Molina, Agustín; Arias, Benito; Núñez, Daniel

    2016-01-01

    We tested first-order factor and bifactor models of attention-deficit/hyperactivity disorder (ADHD) using confirmatory factor analysis (CFA) and exploratory structural equation modeling (ESEM) to adequately summarize the Diagnostic and Statistical Manual of Mental Disorders, 4th Edition, (DSM-IV-TR) symptoms observed in a Spanish sample of preschoolers and kindergarteners. Six ESEM and CFA models were estimated based on teacher evaluations of the behavior of 638 children 4 to 6 years of age. An ESEM bifactor model with a central dimension plus 3 specific factors (inattention, hyperactivity, and impulsivity) showed the best fit and interpretability. Strict invariance between the sexes was observed. The bifactor model provided a solution to previously encountered inconsistencies in the factorial models of ADHD in young children. However, the low reliability of the specific factors casts doubt on the utility of the subscales for ADHD measurement. More research is necessary to clarify the nature of G and S factors of ADHD.

  15. Non-parametric methods – Tree and P-CFA – for the ecological evaluation and assessment of suitable aquatic habitats: A contribution to fish psychology

    Directory of Open Access Journals (Sweden)

    Andreas H. Melcher

    2012-09-01

    Full Text Available This study analyses multidimensional spawning habitat suitability of the fish species “Nase” (latin: Chondrostoma nasus. This is the first time non-parametric methods were used to better understand biotic habitat use in theory and practice. In particular, we tested (1 the Decision Tree technique, Chi-squared Automatic Interaction Detectors (CHAID, to identify specific habitat types and (2 Prediction-Configural Frequency Analysis (P-CFA to test for statistical significance. The combination of both non-parametric methods, CHAID and P-CFA, enabled the identification, prediction and interpretation of most typical significant spawning habitats, and we were also able to determine non-typical habitat types, e.g., types in contrast to antitypes. The gradual combination of these two methods underlined three significant habitat types: shaded habitat, fine and coarse substrate habitat depending on high flow velocity. The study affirmed the importance for fish species of shading and riparian vegetation along river banks. In addition, this method provides a weighting of interactions between specific habitat characteristics. The results demonstrate that efficient river restoration requires re-establishing riparian vegetation as well as the open river continuum and hydro-morphological improvements to habitats.

  16. Optical projection tomography reveals dynamics of HEV growth after immunization with protein plus CFA and features shared with HEVs in acute autoinflammatory lymphadenopathy

    Directory of Open Access Journals (Sweden)

    Varsha eKumar

    2012-09-01

    Full Text Available The vascular-stromal compartment of lymph nodes is important for lymph node function, and high endothelial venules (HEVs play a critical role in controlling the entry of recirculating lymphocytes. In autoimmune and autoinflammatory diseases, lymph node swelling is often accompanied by apparent HEV expansion and, potentially, targeting HEV expansion could be used therapeutically to limit autoimmunity. In previous studies using mostly flow cytometry analysis, we defined 3 differentially regulated phases of lymph node vascular-stromal growth: initiation, expansion, and the re-establishment of vascular quiescence and stabilization. In this study, we use optical projection tomography to better understand the morphologic aspects of HEV growth upon immunization with ovalbumin/CFA. We find HEV elongation as well as modest arborization during the initiation phase, increased arborization during the expansion phase, and, finally, vessel narrowing during the re-establishment of vascular quiescence and stabilization. We also examine acutely enlarged autoinflammatory lymph nodes induced by regulatory T cell depletion and show that HEVs are expanded and morphologically similar to the expanded HEVs in OVA/CFA-stimulated lymph nodes. These results reinforce the idea of differentially regulated, distinct phases of vascular-stromal growth after immunization and suggest that insights gained from studying immunization-induced lymph node vascular growth may help to understand how the lymph node vascular-stromal compartment could be therapeutically targeted in autoimmune and autoinflammatory diseases.

  17. Distinguishing Dispositional and Cultivated Forms of Mindfulness: Item-Level Factor Analysis of Five-Facet Mindfulness Questionnaire and Construction of Short Inventory of Mindfulness Capability

    Science.gov (United States)

    Duan, Wenjie; Li, Jinxia

    2016-01-01

    The widely used Five-Facet Mindfulness Questionnaire (FFMQ) mixes the dispositional and cultivated forms of mindfulness, thereby resulting in factor issues in previous studies. The present study distinguished the two forms of mindfulness and developed a Short Inventory of Mindfulness Capability at the item level of FFMQ. Three facets of mindfulness, namely, Describing, Acting with Awareness, and Non-judging of Experience, were assessed using community (n = 433) and student (n = 347) samples. Both meditators and non-meditators participated. Exploratory and confirmatory factor analysis (CFA) revealed a three-factor model of mindfulness with 12 items (four items per subscale). Psychometric evaluation demonstrated the solid factor structure of the measurement with high factor loadings, good internal consistency, and convergent validities. Longitudinal analysis indicated that the Acting with Awareness facet was a significant predictor of depression and anxiety symptoms 6 months later. Discussions focused on the roles of mindfulness capability on mental health as well as the relationship between them. A higher-order factor of mindfulness should be used to examine the efficacy of intervention or monitor the changes. Researchers who need to study the specific role or efficacy of each facet should calculate the scores of different facets. PMID:27667978

  18. A small RNA activates CFA synthase by isoform-specific mRNA stabilization.

    Science.gov (United States)

    Fröhlich, Kathrin Sophie; Papenfort, Kai; Fekete, Agnes; Vogel, Jörg

    2013-11-13

    Small RNAs use a diversity of well-characterized mechanisms to repress mRNAs, but how they activate gene expression at the mRNA level remains not well understood. The predominant activation mechanism of Hfq-associated small RNAs has been translational control whereby base pairing with the target prevents the formation of an intrinsic inhibitory structure in the mRNA and promotes translation initiation. Here, we report a translation-independent mechanism whereby the small RNA RydC selectively activates the longer of two isoforms of cfa mRNA (encoding cyclopropane fatty acid synthase) in Salmonella enterica. Target activation is achieved through seed pairing of the pseudoknot-exposed, conserved 5' end of RydC to an upstream region of the cfa mRNA. The seed pairing stabilizes the messenger, likely by interfering directly with RNase E-mediated decay in the 5' untranslated region. Intriguingly, this mechanism is generic such that the activation is equally achieved by seed pairing of unrelated small RNAs, suggesting that this mechanism may be utilized in the design of RNA-controlled synthetic circuits. Physiologically, RydC is the first small RNA known to regulate membrane stability.

  19. The effects of pressure on arthritic knees in a rat model of CFA-induced arthritis.

    Science.gov (United States)

    Koo, Sung Tae; Lee, Chang-Hyung; Choi, Hyeunseok; Shin, Yong Il; Ha, Ki Tae; Ye, Hanna; Shim, Hyun Bo

    2013-01-01

    Pain is influenced by weather changes under certain circumstances, and inflammatory pain in animal models is ameliorated by pressure, but the underlying mechanism of atmospheric pressure has not been clearly elucidated. To examine the effect of pressure on pain in an arthritic animal model. Controlled animal study. Laboratory animal study. Following an injection of complete Freund's adjuvant (CFA) into one side of a knee joint, 32 rats were assigned randomly to 2 groups and either placed under 1 or 2.5 atmospheres absolute (ATA) in a hyperbaric chamber for 5 hours. The pain levels were assessed daily for up to 2 weeks post-injection to determine the changes in weight bearing (WB) of the affected limbs. In addition, the levels of gelatinase, MMP-2, and MMP-9 expression in the synovial fluids of the knees were analyzed. After arthritis induction, the rats in the 1 ATA group showed reduced WB of the affected limbs (CFA injection in the 1 ATA group. However, repetitive exposure to 2.5 ATA significantly reduced this ratio in the 2.5 ATA group. Although a sufficient number of samples were used to support the hypothesis that high atmospheric pressure improves a painful condition in this study, an additional larger-scale study will be needed to confirm these findings. Exposure to elevated pressures appears to relieve arthritic pain for extended periods by reducing the inflammatory process and should be considered as a possible alternative pain-reducing therapy.

  20. A VECTOR QUANTIZATION BASED APPROACH FOR CFA DATA COMPRESSION IN WIRELESS ENDOSCOPY CAPSULE

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    A novel approach for near-lossless compression of Color Filtering Array(CFA)data in wireless endoscopy capsule is proposed in this paper.The compression method is based on pre-processing and vector quantization.First,the CFA raw data are low pass filtered and rearranged during pre-processing.Then,pairs of pixels are vector quantized into macros of 9 bits by applying block par-tition and index mapping in succession.These macros are entropy compressed by Joint Photographic Experts Group-Lossless Standard(JPEG-LS)finally.The complex step of codeword searching in Vector Quantization(VQ)is avoided by a predefined partition rule,which is suitable for hardware imple- mentation.By control of the pre-processor and VQ scheme,either high quality compression under an- filtered case or high ratio compression under filtered case can be realized,with the average Peak Sig- nal-to-Noise Ratio(PSNR)more than 43dB and 37dB respectively.Compared with the state-of-the-art method and the previously proposed method,our compression approach outperforms in compression performance as well as in flexibility.

  1. Changes in membrane lipid composition in ethanol- and acid-adapted Oenococcus oeni cells: characterization of the cfa gene by heterologous complementation.

    Science.gov (United States)

    Grandvalet, Cosette; Assad-García, Juan Simón; Chu-Ky, Son; Tollot, Marie; Guzzo, Jean; Gresti, Joseph; Tourdot-Maréchal, Raphaëlle

    2008-09-01

    Cyclopropane fatty acid (CFA) synthesis was investigated in Oenococcus oeni. The data obtained demonstrated that acid-grown cells or cells harvested in the stationary growth phase showed changes in fatty acid composition similar to those of ethanol-grown cells. An increase of the CFA content and a decrease of the oleic acid content were observed. The biosynthesis of CFAs from unsaturated fatty acid phospholipids is catalysed by CFA synthases. Quantitative real-time-PCR experiments were performed on the cfa gene of O. oeni, which encodes a putative CFA synthase. The level of cfa transcripts increased when cells were harvested in stationary phase and when cells were grown in the presence of ethanol or at low pH, suggesting transcriptional regulation of the cfa gene under different stress conditions. In contrast to Escherichia coli, only one functional promoter was identified upstream of the cfa gene of O. oeni. The function of the cfa gene was confirmed by complementation of a cfa-deficient E. coli strain. Nevertheless, the complementation remained partial because the conversion percentage of unsaturated fatty acids into CFA of the complemented strain was much lower than that of the wild-type strain. Moreover, a prevalence of cycC19 : 0 was observed in the membrane of the complemented strain. This could be due to a specific affinity of the CFA synthase from O. oeni. In spite of this partial complementation, the complemented strain of E. coli totally recovered its viability after ethanol shock (10 %, v/v) whereas its viability was only partly recovered after an acid shock at pH 3.0.

  2. A Multigroup Confirmatory Factor Analysis of the Patient Health Questionnaire-9 among English- and Spanish-speaking Latinas

    Science.gov (United States)

    Merz, Erin L.; Malcarne, Vanessa L.; Roesch, Scott C.; Riley, Natasha; Sadler, Georgia Robins

    2014-01-01

    Depression is a significant problem for ethnic minorities that remains understudied partly due to a lack of strong measures with established psychometric properties. One screening tool, the Patient Health Questionnaire-9 (PHQ-9), which was developed for use in primary care has also gained popularity in research settings. The reliability and validity of the PHQ-9 has been well established among predominantly Caucasian samples, in addition to many minority groups. However, there is little evidence regarding its utility among Hispanic Americans, a large and growing cultural group in the United States. In this study, we investigated the reliability and structural validity of the PHQ-9 in Hispanic American women. A community sample of 479 Latina women from southern California completed the PHQ-9 in their preferred language of English or Spanish. Cronbach’s alphas suggested that there was good internal consistency for both the English- and Spanish-language versions. Structural validity was investigated using multigroup confirmatory factor analysis (CFA). Results support a similar one-factor structure with equivalent response patterns and variances among English- and Spanish-speaking Latinas. These results suggest that the PHQ-9 can be used with confidence in both English and Spanish versions to screen Latinas for depression. PMID:21787063

  3. Analysis of Economic Factors Affecting Stock Market

    OpenAIRE

    Xie, Linyin

    2010-01-01

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

  4. Measuring the intrapersonal component of psychological empowerment: confirmatory factor analysis of the sociopolitical control scale.

    Science.gov (United States)

    Peterson, N Andrew; Lowe, John B; Hughey, Joseph; Reid, Robert J; Zimmerman, Marc A; Speer, Paul W

    2006-12-01

    The Sociopolitical Control Scale (SPCS) is a widely used measure of the intrapersonal component of psychological empowerment. Confirmatory factor analyses (CFA) were conducted with data from two samples to test the hypothesized structure of the SPCS, the potential effects of method bias on the measure's psychometric properties, and whether a revised version of the scale (SPCS-R) yielded improved model fit. Sample 1 included 316 randomly selected community residents of the Midwestern United States. Sample 2 included 750 community residents of the Northeastern U.S. Results indicated that method bias from the use of negatively worded items had a significant effect on the factor structure of the SPCS. CFA of the SPCS-R, in which negatively worded items were rephrased so that all statements were positively worded, supported the measure's hypothesized two-factor structure (i.e., leadership competence and policy control). Subscales of the SPCS-R were found reliable and related in expected ways with measures of community involvement. Implications of the study for empowerment-based research and practice are described, and strategies to further develop the SPCS are discussed.

  5. A New Look at the Big Five Factor Structure through Exploratory Structural Equation Modeling

    Science.gov (United States)

    Marsh, Herbert W.; Ludtke, Oliver; Muthen, Bengt; Asparouhov, Tihomir; Morin, Alexandre J. S.; Trautwein, Ulrich; Nagengast, Benjamin

    2010-01-01

    NEO instruments are widely used to assess Big Five personality factors, but confirmatory factor analyses (CFAs) conducted at the item level do not support their a priori structure due, in part, to the overly restrictive CFA assumptions. We demonstrate that exploratory structural equation modeling (ESEM), an integration of CFA and exploratory…

  6. Functional Independence Measure in Iran: A Confirmatory Factor Analysis and Evaluation of Ceiling and Floor Effects in Traumatic Brain Injury Patients

    Directory of Open Access Journals (Sweden)

    Rezaei

    2015-12-01

    Full Text Available Background The functional independence measure (FIM is one of the most important assessment instruments for motor and cognitive dependence in rehabilitation medicine; however, there is little data about its confirmatory factor analysis (CFA and ceiling/floor effects from other countries and also in Iranian patients. Objectives The aim of this study was to evaluate a two-factor model (motor and cognitive independence as latent variables and ceiling/floor effects for FIM in Iranian patients with traumatic brain injuries (TBI. Patients and Methods In this cross-sectional study, 185 subacute TBI patients were selected from emergency and neurosurgery departments of Poursina Hospital (the largest trauma hospital in northern Iran, Rasht using the consecutive sampling method and were assessed for functional independence. Results The results of this study showed that the floor effect was not observed; however, ceiling effects were observed for the FIM total score and its subscales. The confirmatory factor analysis showed that the chi-square/df ratio was 2.8 for the two-factor structure and the fit indices for this structural model including root mean square error of approximation (RMSEA = 0.099, normed fit index (NFI = 0.96, tucker lewis index (TLI = 0.97, comparative fit index (CFI = 0.97 were close to standard indices. Conclusions Although ceiling effects should be considered for rehabilitation targets, the two-factor model of FIM (motor and cognitive independence has an eligible fitness for Iranian patients with TBI.

  7. 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…

  8. Stepwise Variable Selection in Factor Analysis.

    Science.gov (United States)

    Kano, Yutaka; Harada, Akira

    2000-01-01

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

  9. Multilevel exploratory factor analysis of discrete data

    NARCIS (Netherlands)

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

    2013-01-01

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

  10. 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.

  11. Child behaviors associated with childhood obesity and parents' self-efficacy to handle them: confirmatory factor analysis of the Lifestyle Behavior Checklist.

    Science.gov (United States)

    Ek, Anna; Sorjonen, Kimmo; Nyman, Jonna; Marcus, Claude; Nowicka, Paulina

    2015-03-11

    The development of family-based programs for child weight management requires an understanding of parents' difficulties in managing children's eating and physical activity behaviors; however, knowledge about the specific behaviors that parents find most difficult to address is still limited. The Lifestyle Behavior Checklist (LBC) is an Australian instrument that assesses parents' perceptions of children's obesity-related behaviors (the Problem scale), and parents' self-efficacy in dealing with these behaviors (the Confidence scale). Our aims were 1) to examine the psychometric properties (the factor structure, internal reliability, construct and discriminative validity) of the LBC in parents of preschoolers in Sweden, using the Child Feeding Questionnaire (CFQ) as a criterion measure, 2) to study associations between the LBC and socio-demographic factors. The LBC and the CFQ (measuring parental feeding practices) were distributed to parents from 25 schools/preschools and to parents starting a childhood obesity intervention. To test the fit of the original four-factor model (misbehavior in relation to food, overeating, emotional correlates of being overweight, physical activity (24 items)) to the data, confirmatory factor analysis (CFA) was performed. Structural equation modelling was used to examine associations between the LBC and the CFQ and socio-demographic factors. In a sample of 478 parents, a five-factor structure proved best fit to data, after excluding 6 items and allowing two pairs of error terms to correlate (TLI = 0.899; CFI = 0.918; RMSEA = 0.042; SRMR = 0.055). The Confidence scale indicated unidimensionality, therefore a hierarchical CFA with 5 first order factors and one second order factor was tested showing good fit. The validity of the LBC was proven by relevant associations with the CFQ and child weight status; parental responses differed depending on child weight status. The Confidence scale was not associated with any child or

  12. 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.

  13. Factor Structure of the TOEFL® Internet-Based Test (iBT): Exploration in a Field Trial Sample. TOEFL iBT Research Report. TOEFL iBT-04. ETS RR-08-09

    Science.gov (United States)

    Sawaki, Yasuyo; Stricker, Lawrence; Oranje, Andreas

    2008-01-01

    The present study investigated the factor structure of a field trial sample of the Test of English as a Foreign Language™ Internet-based test (TOEFL® iBT). An item-level confirmatory factor analysis (CFA) was conducted for a polychoric correlation matrix of items on a test form completed by 2,720 participants in the 2003-2004 TOEFL iBT Field…

  14. Pharmacokinetic/Pharmacodynamic Relationship of Gabapentin in a CFA-induced Inflammatory Hyperalgesia Rat Model.

    Science.gov (United States)

    Larsen, Malte Selch; Keizer, Ron; Munro, Gordon; Mørk, Arne; Holm, René; Savic, Rada; Kreilgaard, Mads

    2016-05-01

    Gabapentin displays non-linear drug disposition, which complicates dosing for optimal therapeutic effect. Thus, the current study was performed to elucidate the pharmacokinetic/pharmacodynamic (PKPD) relationship of gabapentin's effect on mechanical hypersensitivity in a rat model of CFA-induced inflammatory hyperalgesia. A semi-mechanistic population-based PKPD model was developed using nonlinear mixed-effects modelling, based on gabapentin plasma and brain extracellular fluid (ECF) time-concentration data and measurements of CFA-evoked mechanical hyperalgesia following administration of a range of gabapentin doses (oral and intravenous). The plasma/brain ECF concentration-time profiles of gabapentin were adequately described with a two-compartment plasma model with saturable intestinal absorption rate (K m  = 44.1 mg/kg, V max  = 41.9 mg/h∙kg) and dose-dependent oral bioavailability linked to brain ECF concentration through a transit compartment. Brain ECF concentration was directly linked to a sigmoid E max function describing reversal of hyperalgesia (EC 50, plasma  = 16.7 μg/mL, EC 50, brain  = 3.3 μg/mL). The proposed semi-mechanistic population-based PKPD model provides further knowledge into the understanding of gabapentin's non-linear pharmacokinetics and the link between plasma/brain disposition and anti-hyperalgesic effects. The model suggests that intestinal absorption is the primary source of non-linearity and that the investigated rat model provides reasonable predictions of clinically effective plasma concentrations for gabapentin.

  15. Clinical trial to evaluate safety and immunogenicity of an oral inactivated enterotoxigenic Escherichia coli prototype vaccine containing CFA/I overexpressing bacteria and recombinantly produced LTB/CTB hybrid protein.

    Science.gov (United States)

    Lundgren, A; Leach, S; Tobias, J; Carlin, N; Gustafsson, B; Jertborn, M; Bourgeois, L; Walker, R; Holmgren, J; Svennerholm, A-M

    2013-02-06

    We have developed a new oral vaccine against enterotoxigenic Escherichia coli (ETEC) diarrhea containing killed recombinant E. coli bacteria expressing increased levels of ETEC colonization factors (CFs) and a recombinant protein (LCTBA), i.e. a hybrid between the binding subunits of E. coli heat labile toxin (LTB) and cholera toxin (CTB). We describe a randomized, comparator controlled, double-blind phase I trial in 60 adult Swedish volunteers of a prototype of this vaccine. The safety and immunogenicity of the prototype vaccine, containing LCTBA and an E. coli strain overexpressing the colonization factor CFA/I, was compared to a previously developed oral ETEC vaccine, consisting of CTB and inactivated wild type ETEC bacteria expressing CFA/I (reference vaccine). Groups of volunteers were given two oral doses of either the prototype or the reference vaccine; the prototype vaccine was administered at the same or a fourfold higher dosage than the reference vaccine. The prototype vaccine was found to be safe and equally well-tolerated as the reference vaccine at either dosage tested. The prototype vaccine induced mucosal IgA (fecal secretory IgA and intestine-derived IgA antibody secreting cell) responses to both LTB and CFA/I, as well as serum IgA and IgG antibody responses to LTB. Immunization with LCTBA resulted in about twofold higher mucosal and systemic IgA responses against LTB than a comparable dose of CTB. The higher dose of the prototype vaccine induced significantly higher fecal and systemic IgA responses to LTB and fecal IgA responses to CFA/I than the reference vaccine. These results demonstrate that CF over-expression and inclusion of the LCTBA hybrid protein in an oral inactivated ETEC vaccine does not change the safety profile when compared to a previous generation of such a vaccine and that the prototype vaccine induces significant dose dependent mucosal immune responses against CFA/I and LTB. Copyright © 2013 Elsevier Ltd. All rights reserved.

  16. 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

  17. A kernel version of spatial factor analysis

    DEFF Research Database (Denmark)

    Nielsen, Allan Aasbjerg

    2009-01-01

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

  18. Topical dura mater application of CFA induces enhanced expression of c-fos and glutamate in rat trigeminal nucleus caudalis

    DEFF Research Database (Denmark)

    Lukács, M; Warfvinge, K; Tajti, J

    2017-01-01

    BACKGROUND: Migraine is a debilitating neurological disorder where trigeminovascular activation plays a key role. We have previously reported that local application of Complete Freund's Adjuvant (CFA) onto the dura mater caused activation in rat trigeminal ganglion (TG) which was abolished by a s...

  19. Exploring the factor structure of neurocognitive measures in older individuals.

    Science.gov (United States)

    Santos, Nadine Correia; Costa, Patrício Soares; Amorim, Liliana; Moreira, Pedro Silva; Cunha, Pedro; Cotter, Jorge; Sousa, Nuno

    2015-01-01

    Here we focus on factor analysis from a best practices point of view, by investigating the factor structure of neuropsychological tests and using the results obtained to illustrate on choosing a reasonable solution. The sample (n=1051 individuals) was randomly divided into two groups: one for exploratory factor analysis (EFA) and principal component analysis (PCA), to investigate the number of factors underlying the neurocognitive variables; the second to test the "best fit" model via confirmatory factor analysis (CFA). For the exploratory step, three extraction (maximum likelihood, principal axis factoring and principal components) and two rotation (orthogonal and oblique) methods were used. The analysis methodology allowed exploring how different cognitive/psychological tests correlated/discriminated between dimensions, indicating that to capture latent structures in similar sample sizes and measures, with approximately normal data distribution, reflective models with oblimin rotation might prove the most adequate.

  20. Exploring the factor structure of neurocognitive measures in older individuals.

    Directory of Open Access Journals (Sweden)

    Nadine Correia Santos

    Full Text Available Here we focus on factor analysis from a best practices point of view, by investigating the factor structure of neuropsychological tests and using the results obtained to illustrate on choosing a reasonable solution. The sample (n=1051 individuals was randomly divided into two groups: one for exploratory factor analysis (EFA and principal component analysis (PCA, to investigate the number of factors underlying the neurocognitive variables; the second to test the "best fit" model via confirmatory factor analysis (CFA. For the exploratory step, three extraction (maximum likelihood, principal axis factoring and principal components and two rotation (orthogonal and oblique methods were used. The analysis methodology allowed exploring how different cognitive/psychological tests correlated/discriminated between dimensions, indicating that to capture latent structures in similar sample sizes and measures, with approximately normal data distribution, reflective models with oblimin rotation might prove the most adequate.

  1. What Is Rotating in Exploratory Factor Analysis?

    Directory of Open Access Journals (Sweden)

    Jason W. Osborne

    2015-01-01

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

  2. 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.

  3. Factor analysis identifies subgroups of constipation

    Institute of Scientific and Technical Information of China (English)

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

    2011-01-01

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

  4. Critical role of IFN-gamma in CFA-mediated protection of NOD mice from diabetes development.

    Science.gov (United States)

    Mori, Yoshiko; Kodaka, Tetsuro; Kato, Takako; Kanagawa, Edith M; Kanagawa, Osami

    2009-11-01

    IFN-gamma signaling-deficient non-obese diabetic (NOD) mice develop diabetes with similar kinetics to those of wild-type NOD mice. However, the immunization of IFN-gamma signaling-deficient NOD mice with CFA failed to induce long-term protection, whereas wild-type NOD mice receiving CFA remained diabetes-free. CFA also failed to protect IFN-gamma receptor-deficient (IFN-gammaR(-/-)) NOD mice from the autoimmune rejection of transplanted islets, as it does in diabetic NOD mice, and from disease transfer by spleen cells from diabetic NOD mice. These data clearly show that the pro-inflammatory cytokine IFN-gamma is necessary for the CFA-mediated protection of NOD mice from diabetes. There is no difference in the T(h)1/T(h)17 balance between IFN-gammaR(-/-) NOD and wild-type NOD mice. There is also no difference in the total numbers and percentages of regulatory T (Treg) cells in the lymph node CD4(+) T-cell populations between IFN-gammaR(-/-) NOD and wild-type NOD mice. However, pathogenic T cells lacking IFN-gammaR are resistant to the suppressive effect of Treg cells, both in vivo and in vitro. Therefore, it is likely that CFA-mediated protection against diabetes development depends on a change in the balance between Treg cells and pathogenic T cells, and IFN-gamma signaling seems to control the susceptibility of pathogenic T cells to the inhibitory activity of Treg cells.

  5. A kernel version of spatial factor analysis

    DEFF Research Database (Denmark)

    Nielsen, Allan Aasbjerg

    2009-01-01

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

  6. 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

  7. 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.

  8. Comparing factor analytic models of the DSM-IV personality disorders.

    Science.gov (United States)

    Huprich, Steven K; Schmitt, Thomas A; Richard, David C S; Chelminski, Iwona; Zimmerman, Mark A

    2010-01-01

    There is little agreement about the latent factor structure of the Diagnostic and Statistical Manual of Mental Disorders (DSM) personality disorders (PDs). Factor analytic studies over the past 2 decades have yielded different results, in part reflecting differences in factor analytic technique, the measure used to assess the PDs, and the changing DSM criteria. In this study, we explore the latent factor structure of the DSM (4th ed.; IV) PDs in a sample of 1200 psychiatric outpatients evaluated with the Structured Interview for DSM-IV PDs (B. Pfohl, N. Blum, & M. Zimmerman, 1997). We first evaluated 2 a priori models of the PDs with confirmatory factor analysis (CFA), reflecting their inherent organization in the DSM-IV: a 3-factor model and a 10-factor model. Fit statistics did not suggest that these models yielded an adequate fit. We then evaluated the latent structure with exploratory factor analysis (EFA). Multiple solutions produced more statistically and theoretically reasonable results, as well as providing clinically useful findings. On the basis of fit statistics and theory, 3 models were evaluated further--the 4-, 5-, and 10-factor models. The 10-factor model, which did not resemble the 10-factor model of the CFA, was determined to be the strongest of all 3 models. Future research should use contemporary methods of evaluating factor analytic results in order to more thoroughly compare various factor solutions.

  9. Cardamonin (2',4'-dihydroxy-6'-methoxychalcone) isolated from Boesenbergia rotunda (L.) Mansf. inhibits CFA-induced rheumatoid arthritis in rats.

    Science.gov (United States)

    Voon, Fui-Ling; Sulaiman, Mohd Roslan; Akhtar, Muhammad Nadeem; Idris, Mohamad Fauzi; Akira, Ahmad; Perimal, Enoch Kumar; Israf, Daud Ahmad; Ming-Tatt, Lee

    2017-01-05

    Boesenbergia rotunda (L.) Mansf. had been traditionally used as herbs to treat pain and rheumatism. Cardamonin (2',4'-dihydroxy-6'-methoxychalcone) is a compound isolated from Boesenbergia rotunda (L.) Mansf.. Previous study had shown the potential of cardamonin in inhibiting the release of pro-inflammatory cytokines such as tumour necrosis factor-α (TNF-α), interleukin-1β (IL-1β), and interleukin-6 (IL-6) in vitro. Thus, the possible therapeutic effect of cardamonin in the rheumatoid arthritis (RA) joints is postulated. This study was performed to investigate the anti-arthritic properties of cardamonin in rat model of induced RA, particularly on the inflammatory and pain response of RA. Rheumatoid arthritis paw inflammation was induced by intraplantar (i.pl.) injection of complete Freund's adjuvant (CFA) in Sprague Dawley rats. Using four doses of cardamonin (0.625, 1.25, 2.5, and 5.0mg/kg), anti-arthritic activity was evaluated through the paw edema, mechanical allodynia and thermal hyperalgesia responses. Enzyme-linked immunosorbent assay (ELISA) was carried out to evaluate the plasma level of TNF-α, IL-1β, and IL-6. Histological slides were prepared from the harvested rat paws to observe the arthritic changes in the joints. Behavioral, biochemical, and histological studies showed that cardamonin demonstrated significant inhibition on RA-induced inflammatory and pain responses as well as progression of joint destruction in rats. ELISA results showed that there was significant inhibition in TNF-α, IL-1β, and IL-6 levels in plasma of the cardamonin-treated RA rats. Overall, cardamonin possesses potential anti-arthritic properties in CFA-induced RA rat model. Copyright © 2016 Elsevier B.V. All rights reserved.

  10. Analysis of Ultra Linguistic Factors in Interpretation

    Institute of Scientific and Technical Information of China (English)

    姚嘉

    2015-01-01

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

  11. 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…

  12. 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....

  13. Acquiring the optimal time for hyperbaric therapy in the rat model of CFA induced arthritis.

    Science.gov (United States)

    Koo, Sung Tae; Lee, Chang-Hyung; Shin, Yong Il; Ko, Hyun Yoon; Lee, Da Gyo; Jeong, Han-Sol

    2014-01-01

    We previously published an article about the pressure effect using a rheumatoid animal model. Hyperbaric therapy appears to be beneficial in treating rheumatoid arthritis (RA) by reducing the inflammatory process in an animal model. In this sense, acquiring the optimal pressure-treatment time parameter for RA is important and no optimal hyperbaric therapy time has been suggested up to now. The purpose of our study was to acquire the optimal time for hyperbaric therapy in the RA rat model. Controlled animal study. Following injection of complete Freund's adjuvant (CFA) into one side of the knee joint, 32 rats were randomly assigned to 3 different time groups (1, 3, 5 hours a day) under 1.5 atmospheres absolute (ATA) hyperbaric chamber for 12 days. The pain levels were assessed daily for 2 weeks by weight bearing force (WBF) of the affected limb. In addition, the levels of gelatinase, MMP-2, and MMP-9 expression in the synovial fluids of the knees were analyzed. The reduction of WBF was high at 2 days after injection and then it was spontaneously increased up to 14 days in all 3 groups. There were significant differences of WBF between 5 hours and control during the third through twelfth days, between 3 hours and control during the third through fifth and tenth through twelfth days, and between 3 hours and 5 hours during the third through seventh days (P CFA injection in all groups compared to the initial findings, however, the 3 hour group showed a smaller MMP-9/MMP-2 ratio than the control group. Although enough samples were used for the study to support our hypothesis, more samples will be needed to raise the validity and reliability. The effect of hyperbaric treatment appears to be dependent upon the elevated therapy time under 1.5 ATA pressure for a short period of time; however, the long-term effects were similar in all pressure groups. Further study will be needed to acquire the optimal pressure-treatment parameter relationship in various conditions for

  14. Scalable group level probabilistic sparse factor analysis

    DEFF Research Database (Denmark)

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

    2017-01-01

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

  15. 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

  16. Hypothalamic GPR40 signaling activated by free long chain fatty acids suppresses CFA-induced inflammatory chronic pain.

    Science.gov (United States)

    Nakamoto, Kazuo; Nishinaka, Takashi; Sato, Naoya; Mankura, Mitsumasa; Koyama, Yutaka; Kasuya, Fumiyo; Tokuyama, Shogo

    2013-01-01

    GPR40 has been reported to be activated by long-chain fatty acids, such as docosahexaenoic acid (DHA). However, reports studying functional role of GPR40 in the brain are lacking. The present study focused on the relationship between pain regulation and GPR40, investigating the functional roles of hypothalamic GPR40 during chronic pain caused using a complete Freund's adjuvant (CFA)-induced inflammatory chronic pain mouse model. GPR40 protein expression in the hypothalamus was transiently increased at day 7, but not at days 1, 3 and 14, after CFA injection. GPR40 was co-localized with NeuN, a neuron marker, but not with glial fibrillary acidic protein (GFAP), an astrocyte marker. At day 1 after CFA injection, GFAP protein expression was markedly increased in the hypothalamus. These increases were significantly inhibited by the intracerebroventricular injection of flavopiridol (15 nmol), a cyclin-dependent kinase inhibitor, depending on the decreases in both the increment of GPR40 protein expression and the induction of mechanical allodynia and thermal hyperalgesia at day 7 after CFA injection. Furthermore, the level of DHA in the hypothalamus tissue was significantly increased in a flavopiridol reversible manner at day 1, but not at day 7, after CFA injection. The intracerebroventricular injection of DHA (50 µg) and GW9508 (1.0 µg), a GPR40-selective agonist, significantly reduced mechanical allodynia and thermal hyperalgesia at day 7, but not at day 1, after CFA injection. These effects were inhibited by intracerebroventricular pretreatment with GW1100 (10 µg), a GPR40 antagonist. The protein expression of GPR40 was colocalized with that of β-endorphin and proopiomelanocortin, and a single intracerebroventricular injection of GW9508 (1.0 µg) significantly increased the number of neurons double-stained for c-Fos and proopiomelanocortin in the arcuate nucleus of the hypothalamus. Our findings suggest that hypothalamic GPR40 activated by free long chain fatty

  17. Hypothalamic GPR40 signaling activated by free long chain fatty acids suppresses CFA-induced inflammatory chronic pain.

    Directory of Open Access Journals (Sweden)

    Kazuo Nakamoto

    Full Text Available GPR40 has been reported to be activated by long-chain fatty acids, such as docosahexaenoic acid (DHA. However, reports studying functional role of GPR40 in the brain are lacking. The present study focused on the relationship between pain regulation and GPR40, investigating the functional roles of hypothalamic GPR40 during chronic pain caused using a complete Freund's adjuvant (CFA-induced inflammatory chronic pain mouse model. GPR40 protein expression in the hypothalamus was transiently increased at day 7, but not at days 1, 3 and 14, after CFA injection. GPR40 was co-localized with NeuN, a neuron marker, but not with glial fibrillary acidic protein (GFAP, an astrocyte marker. At day 1 after CFA injection, GFAP protein expression was markedly increased in the hypothalamus. These increases were significantly inhibited by the intracerebroventricular injection of flavopiridol (15 nmol, a cyclin-dependent kinase inhibitor, depending on the decreases in both the increment of GPR40 protein expression and the induction of mechanical allodynia and thermal hyperalgesia at day 7 after CFA injection. Furthermore, the level of DHA in the hypothalamus tissue was significantly increased in a flavopiridol reversible manner at day 1, but not at day 7, after CFA injection. The intracerebroventricular injection of DHA (50 µg and GW9508 (1.0 µg, a GPR40-selective agonist, significantly reduced mechanical allodynia and thermal hyperalgesia at day 7, but not at day 1, after CFA injection. These effects were inhibited by intracerebroventricular pretreatment with GW1100 (10 µg, a GPR40 antagonist. The protein expression of GPR40 was colocalized with that of β-endorphin and proopiomelanocortin, and a single intracerebroventricular injection of GW9508 (1.0 µg significantly increased the number of neurons double-stained for c-Fos and proopiomelanocortin in the arcuate nucleus of the hypothalamus. Our findings suggest that hypothalamic GPR40 activated by free long

  18. Disruption of δ-opioid receptor phosphorylation at threonine 161 attenuates morphine tolerance in rats with CFA-induced inflammatory hypersensitivity.

    Science.gov (United States)

    Chen, Hai-Jing; Xie, Wei-Yan; Hu, Fang; Zhang, Ying; Wang, Jun; Wang, Yun

    2012-04-01

    Our previous study identified Threonine 161 (Thr-161), located in the second intracellular loop of the δ-opioid receptor (DOR), as the only consensus phosphorylation site for cyclin-dependent kinase 5 (Cdk5). The aim of this study was to assess the function of DOR phosphorylation by Cdk5 in complete Freund's adjuvant (CFA)-induced inflammatory pain and morphine tolerance. Dorsal root ganglion (DRG) neurons of rats with CFA-induced inflammatory pain were acutely dissociated and the biotinylation method was used to explore the membrane localization of phosphorylated DOR at Thr-161 (pThr-161-DOR), and paw withdrawal latency was measured after intrathecal delivery of drugs or Tat-peptide, using a radiant heat stimulator in rats with CFA-induced inflammatory pain. Both the total amount and the surface localization of pThr-161-DOR were significantly enhanced in the ipsilateral DRG following CFA injection. Intrathecal delivery of the engineered Tat fusion-interefering peptide corresponding to the second intracellular loop of DOR (Tat-DOR-2L) increased inflammatory hypersensitivity, and inhibited DOR- but not µ-opioid receptor-mediated spinal analgesia in CFA-treated rats. However, intrathecal delivery of Tat-DOR-2L postponed morphine antinociceptive tolerance in rats with CFA-induced inflammatory pain. Phosphorylation of DOR at Thr-161 by Cdk5 attenuates hypersensitivity and potentiates morphine tolerance in rats with CFA-induced inflammatory pain, while disruption of the phosphorylation of DOR at Thr-161 attenuates morphine tolerance.

  19. Examining the factor structure and convergent and discriminant validity of the Levenson self-report psychopathy scale: is the two-factor model the best fitting model?

    Science.gov (United States)

    Salekin, Randall T; Chen, Debra R; Sellbom, Martin; Lester, Whitney S; MacDougall, Emily

    2014-07-01

    The Levenson, Kiehl, and Fitzpatrick (1995) Self-Report Psychopathy Scale (LSRP) was introduced in the mid-1990s as a brief measure of psychopathy and has since gained considerable popularity. Despite its attractiveness as a brief psychopathy tool, the LSRP has received limited research regarding its factor structure and convergent and discriminant validity. The present study examined the construct validity of the LSRP, testing both its factor structure and the convergent and discriminant validity. Using a community sample of 1,257 undergraduates (869 females; 378 males), we tested whether a 1-, 2-, or 3-factor model best fit the data and examined the links between the resultant factor structures and external correlates. Confirmatory factor analysis (CFA) findings revealed a 3-factor model best matched the data, followed by an adequate-fitting original 2-factor model. Next, comparisons were made regarding the convergent and discriminant validity of the competing 2- and 3-factor models. Findings showed the LSRP traditional primary and secondary factors had meaningful relations with extratest variables such as neuroticism, stress tolerance, and lack of empathy. The 3-factor model showed particular problems with the Callousness scale. These findings underscore the importance of examining not only CFA fit statistics but also convergent and discriminant validity when testing factor structure models. The current findings suggest that the 2-factor model might still be the best way to interpret the LSRP. (c) 2014 APA, all rights reserved.

  20. Relative Performance Evaluation of Single Chip CFA Color Reconstruction Algorithms Used in Embedded Vision Devices

    Directory of Open Access Journals (Sweden)

    B. Mahesh

    2013-02-01

    Full Text Available – Most digital cameras use a color filter array to capture the colors of the scene. Sub-sampled (Down sampled versions of the red, green, and blue components are acquired using Single Sensor Embedded vision devices with the help of Color Filter Array (CFA[1]. Hence Interpolation of the missing color samples is necessary to reconstruct a full color image. This method of interpolation is called as Demosaicing (Demosaicking. Least-Square Luma–Chroma demulti-plexing algorithm for Bayer demosaicking [2] is the most effective and efficient demosaicking technique available in the literature. As almost all companies of commercial cameras make use of this cost effective way for interpolating the missing colors and reconstructing the original image, the demosaicking arena has become a vital domain of research of embedded color vision devices[3].Hence, in this paper ,the authors aim is to analyze ,implement and evaluate the relative performance of the best known algorithms. Objective empirical value prove that LSLCDA is superior in performance

  1. Efficient defect pixel cluster detection and correction for Bayer CFA image sequences

    Science.gov (United States)

    Tajbakhsh, Touraj

    2011-01-01

    Image sensor arrays may have defect pixels, either originating from manufacturing or being developed over the lifetime of the image sensor array. Continuous defect pixel detection and correction performing during camera runtime is desirable. On-the-fly detection and correction is challenging since edges and high-frequency image content might get identified as defect pixel regions and intact pixels become corrupted during defect pixel replacement. We propose a table-based detection and correction method which by and by fills the non-volatile table during normal camera operation. In this work we model defect pixels and pixel clusters to be stuck to fixed values or at least fixed to a narrow value range whereas the local neighborhood of these pixels indicate a normal behavior. The idea is to temporally observe the value ranges of small group of pixels (e.g. 4x4 pixel blocks) and to decide about their defective condition depending on their variability with respect to their neighbor pixels. Our method is computationally efficient, requires no frame buffer, requires modest memory, and therefore is appropriate to operate in line-buffer based image signal processing (ISP) systems. Our results indicate high reliability in terms of detection rates and robustness against high-frequency image content. As part of the defect pixel replacement system we also propose a simple and efficient defect pixel correction method based on the mean of medians operating on the Bayer CFA image domain.

  2. Broad-band properties of the CfA Seyfert Galaxies. II - Infrared to millimeter properties

    Science.gov (United States)

    Edelson, R. A.; Malkan, M. A.; Rieke, G. H.

    1987-01-01

    IR and mm observations of the 48 Seyfert 1 and 2 galaxies (SG1s and SG2s) of the CfA sample (Huchra and Berg, 1987) are reported. Data obtained (1) in the NIR using the 1.55-m reflector at Stewart Observatory and the 3-m IRTF during 1984-1986, (2) in the FIR with IRAS, and (3) at 1.3 mm using the 12-m NRAO telescope at KPNO in June 1984 are presented in extensive tables and graphs and characterized in detail. None of the objects was detected at 1.3 mm, and the IR spectra of the SG2s are found to be significantly steeper (indicating thermal emission) than those of SG1s and QSOs (nonthermal emission). Turnover in the IR emission below 100 microns (in half of the objects detected at three or more IRAS wavelengths) is shown to be consistent with an accretion disk in dust-free SG1s and with unusually warm (35-65 K) dust in SG2s. It is inferred that a 60-100-micron cool excess is masking turnover in the other SGs, so that a general association of SG nuclei with strong star formation can be confirmed.

  3. Attitude Exploration Using Factor Analysis Technique

    Directory of Open Access Journals (Sweden)

    Monika Raghuvanshi

    2016-12-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2015-06-07

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

  5. Mapping non suicidal self-injury in adolescence: Development and confirmatory factor analysis of the Impulse, Self-harm and Suicide Ideation Questionnaire for Adolescents (ISSIQ-A).

    Science.gov (United States)

    Carvalho, Célia Barreto; Nunes, Carolina; Castilho, Paula; da Motta, Carolina; Caldeira, Suzana; Pinto-Gouveia, José

    2015-06-30

    Non-suicidal self-injury (NSSI) is the deliberate, self-inflicted destruction of body tissue without suicidal intent and an important clinical phenomenon. Rates of NSSI appear to be disproportionately high in adolescents and young adults, and is a risk factor for suicidal ideation and behavior. The present study reports the psychometric properties of the Impulse, Self-harm and Suicide Ideation Questionnaire for Adolescents (ISSIQ-A), a measure designed to comprehensively assess the impulsivity, NSSI behaviors and suicide ideation. An additional module of this questionnaire assesses the functions of NSSI. Results of Confirmatory Factor Analysis (CFA) of the scale on 1722 youths showed items' suitability and confirmed a model of four different dimensions (Impulse, Self-harm, Risk-behavior and Suicide ideation) with good fit and validity. Further analysis showed that youth׳s engagement in self-harm may exert two different functions: to create or alleviate emotional states, and to influence social relationships. Our findings contribute to research and assessment on non-suicidal self-injury, suggesting that the ISSIQ-A is a valid and reliable measure to assess impulse, self-harm and suicidal thoughts, in adolescence.

  6. Evaluating the MSCEIT V2.0 via CFA: comment on Mayer et al. (2003).

    Science.gov (United States)

    Gignac, Gilles E

    2005-06-01

    This investigation uncovered several substantial errors in the confirmatory factor analysis results reported by J. D. Mayer, P. Salovey, D. R. Caruso, and G. Sitarenios (see record 2003-02341-015). Specifically, the values associated with the close-fit indices (normed fit index, Tucker-Lewis Index, and root-mean-square error of approximation) are inaccurate. A reanalysis of the Mayer et al. subscale intercorrelation matrix provided accurate values of the close-fit indices, which resulted in different evaluations of the models tested by J. D. Mayer et al. Contrary to J. D. Mayer et al., the 1-factor model and the 2-factor model did not provide good fit. Although the 4-factor model was still considered good fitting, the non-constrained 4-factor model yielded a non-positive definite matrix, which was interpreted to be due to the fact that two of the branch-level factors (Perceiving and Facilitating) were collinear, suggesting that a model with 4 factors was implausible.

  7. Public health implications of contamination of Franc CFA (XAF) circulating in Buea (Cameroon) with drug resistant pathogens

    OpenAIRE

    Akoachere, Jane-Francis Tatah Kihla; Gaelle, Nana; Dilonga, Henry Meriki; Nkuo-Akenji, Theresa K

    2014-01-01

    Background Studies in different parts of the world have implicated money as a vehicle for transmission of pathogens. Such information which is necessary to facilitate infection control strategies is lacking in many sub-Saharan countries including Cameroon. This study analyzed the Franc de la Communauté Financiere d’Afrique (Franc CFA), the currency used in Cameroon and other countries in the Central African sub-region, as a potential vehicle for transmission of pathogenic bacteria and fungi, ...

  8. Hypothalamic GPR40 Signaling Activated by Free Long Chain Fatty Acids Suppresses CFA-Induced Inflammatory Chronic Pain

    OpenAIRE

    Kazuo Nakamoto; Takashi Nishinaka; Naoya Sato; Mitsumasa Mankura; Yutaka Koyama; Fumiyo Kasuya; Shogo Tokuyama

    2013-01-01

    GPR40 has been reported to be activated by long-chain fatty acids, such as docosahexaenoic acid (DHA). However, reports studying functional role of GPR40 in the brain are lacking. The present study focused on the relationship between pain regulation and GPR40, investigating the functional roles of hypothalamic GPR40 during chronic pain caused using a complete Freund's adjuvant (CFA)-induced inflammatory chronic pain mouse model. GPR40 protein expression in the hypothalamus was transiently inc...

  9. La dynamique d'ajustement des taux de change réels dans la zone franc CFA

    OpenAIRE

    Cécile Couharde; Issiaka Coulibaly; Olivier Damette

    2012-01-01

    The aim of this paper is to analyse the adjustment process of real effective exchange rates towards their equilibrium level for the cfa zone countries over the period 1985-2007. Accordingly, we estimate a panel smooth transition error correction model in order to take into account non-linear phenomena. In particular, we show that the adjustment process of real effective exchange rates is indeed asymmetric while this asymmetry differs substantially between countries. This last result tends to ...

  10. Factorial invariance in multilevel confirmatory factor analysis.

    Science.gov (United States)

    Ryu, Ehri

    2014-02-01

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

  11. 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.

  12. Comparison of the performance of IFA, CFA, and ELISA assays for the serodiagnosis of acute Q fever by quality assessment.

    Science.gov (United States)

    Herremans, Tineke; Hogema, Boris M; Nabuurs, Marrigje; Peeters, Marcel; Wegdam-Blans, Marjolijn; Schneeberger, Peter; Nijhuis, Carla; Notermans, Daan W; Galama, Joep; Horrevorts, Anton; van Loo, Inge H M; Vlaminckx, Bart; Zaaijer, Hans L; Koopmans, Marion P; Berkhout, Hanneke; Socolovschi, Cristina; Raoult, Didier; Stenos, John; Nicholson, William; Bijlmer, Henk

    2013-01-01

    The indirect immunofluorescence assay (IFA) is considered the reference method for diagnosing Q fever, but serology is also performed by complement fixation assay (CFA) or enzyme-linked immunosorbent assay (ELISA). However, comparability between these assays is not clear, and therefore a quality assessment was performed. A total of 25 serum samples from negative controls, Q fever patients, and a serial diluted high-positive sample were analyzed in 10 Dutch laboratories. Six laboratories performed CFA, 5 performed IFA, and 5 performed ELISAs. Three international reference laboratories from Australia, France, and the USA also participated in this study. Qualitative values between laboratories using the same methods were within close range, and all 3 methods correctly identified acute Q fever patients. The IFA, ELISA, and CFA are all suitable serodiagnostic assays to diagnose acute Q fever, but the IFA remains an important tool in the follow-up of patients and in identifying patients at risk for developing chronic Q fever. Copyright © 2013 Elsevier Inc. All rights reserved.

  13. 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…

  14. Appraisal of a specific scale for quality of life (AlQoL-9) in Greek alcohol dependent individuals attending: A confirmatory factor analysis.

    Science.gov (United States)

    Pappa, A S; Ginieri-Coccossis, M; Richardson, C; Charalampi, A; Liappas, I A; Paparrigopoulos, Th

    2016-01-01

    Αlcohol abuse/dependence seriously affects quality of life (QoL). The AlQoL-9 scale, derived from the generic instrument SF-36, is the only instrument in the international literature which is specific as a measure of QoL for alcohol-dependent patients. It can provide health carers with valuable information regarding the needs of alcoholic individuals and the effects of therapeutic interventions. The aim of this study was to assess the psychometric properties of the Greek version of AlQoL-9 taking as a basis the research on the original French and English versions. A sample of 170 participants (118 males, 52 females) aged 24-74 years (mean age=48.2 years, SD=9.6) recruited from inpatient and outpatient detoxification units in different regions of Greece completed the AlQoL-9 questionnaire and the World Health Organization Quality of Life Assessment - short version (WHOQOL-BREF). The internal structure of the AlQoL-9 questionnaire was examined using confirmatory factor analysis (CFA). The associations of AlQoL-9 with sociodemographic and clinical variables were examined. The correlation coefficients between AlQoL-9 and scores on the domains of the WHOQOL-BREF questionnaire were computed as an indication of convergent validity. The average inter-item correlation between the AlQoL-9 items was 0.403. CFA supported a single factor underlying the AlQoL-9 items. Cronbach's alpha for the Greek version of the scale showed high internal consistency, 0.837, and could not be improved by omitting any item. The AlQoL-9 score showed significant associations with gender (mean 29.2, SD=6.2 for males; mean 26.1, SD=7.2 for females: p=0.004) and with comorbidity (mean 25.7, SD=7.8 with comorbidity, mean 29.5, SD=5.8 without: p=0.001). The AlQoL-9 score was significantly correlated (pGreek version of the AlQoL-9 constitutes a valid and reliable single-factor research instrument for evaluating quality of life among alcohol-dependent individuals. It is recommended to be used in

  15. Research on Appraisal System of Procurator Performance by Using High-Order CFA Model

    Directory of Open Access Journals (Sweden)

    Yong-mao Huang

    2014-01-01

    Full Text Available The prosecutor is the main body of procuratorial organs. The performance appraisal system plays an important role in promoting the work efficiency of procurator. In this paper, we establish the performance appraisal system of procurators by high-order confirmatory factor analysis method and evaluate procurators’ performance by fuzzy comprehensive evaluation method based on the 360 degrees. The results have some help to performance management of procuratorial organs.

  16. Epigenetic suppression of potassium-chloride co-transporter 2 expression in inflammatory pain induced by complete Freund's adjuvant (CFA).

    Science.gov (United States)

    Lin, C-R; Cheng, J-K; Wu, C-H; Chen, K-H; Liu, C-K

    2017-02-01

    Multiple mechanisms contribute to the stimulus-evoked pain hypersensitivity that may be experienced after peripheral inflammation. Persistent pathological stimuli in many pain conditions affect the expression of certain genes through epigenetic alternations. The main purpose of our study was to investigate the role of epigenetic modification on potassium-chloride co-transporter 2 (KCC2) gene expression in the persistence of inflammatory pain. Persistent inflammatory pain was induced through the injection of complete Freund's adjuvant (CFA) in the left hind paw of rats. Acetyl-histone H3 and H4 level was determined by chromatin immunoprecipitation in the spinal dorsal horn. Pain behaviour and inhibitory synaptic function of spinal cord were determined before and after CFA injection. KCC2 expression was determined by real time RT-PCR and Western blot. Intrathecal KCC2 siRNA (2 μg per 10 μL per rat) or HDAC inhibitor (10 μg per 10 μL per rat) was injected once daily for 3 days before CFA injection. Persistent inflammatory pain epigenetically suppressed KCC2 expression through histone deacetylase (HDAC)-mediated histone hypoacetylation, resulting in decreased inhibitory signalling efficacy. KCC2 knock-down caused by intrathecal administration of KCC2 siRNA in naïve rats reduced KCC2 expression in the spinal cord, leading to sensitized pain behaviours and impaired inhibitory synaptic transmission in their spinal cords. Moreover, intrathecal HDAC inhibitor injection in CFA rats increased KCC2 expression, partially restoring the spinal inhibitory synaptic transmission and relieving the sensitized pain behaviour. These findings suggest that the transcription of spinal KCC2 is regulated by histone acetylation epigenetically following CFA. Persistent pain suppresses KCC2 expression through HDAC-mediated histone hypoacetylation and consequently impairs the inhibitory function of inhibitory interneurons. Drugs such as HDAC inhibitors that suppress the influences of

  17. Cost analysis of continuous flight auger piles construction in Egypt

    Directory of Open Access Journals (Sweden)

    Hossam E. Hosny

    2016-09-01

    Full Text Available Continuous Flight Auger (CFA piling is widely used in the Egyptian construction industry. There is a dramatic fluctuation in pricing of executing this work package within short periods as a result of unsteady changes in supply-demand equilibrium. Consequently, there is an urgent need for the use of a scientific approach in estimating construction costs. Accordingly, it is crucial to consider the different cost elements of CFA piling construction as a step to reach an accurate and realistic cost estimate to be used by contractors in tendering. This research aims to study these cost elements based on an expert judgment, site observations and statistical analysis in order to develop an effective tool to estimate the total construction cost of the CFA piles in any future project. Expert survey was performed to draw detailed information to construct a cost breakdown structure (CBS that was used as a basis for developing the proposed cost model. The developed cost model is then validated through the application on fifty two projects. Such projects were carefully selected in different sizes, purposes and locations. Then the collected data were exposed to statistical analysis techniques. An average percentage error of 4.1% was observed upon comparing the estimated costs with the actual costs of these projects. A sensitivity analysis was then performed to recognize the most effective cost factors. The developed recommended model was used by some experienced contractors in the Egyptian market who expressed their satisfaction with the model.

  18. Factor Structure of Subjective Well-Being in Iran.

    Science.gov (United States)

    Joshanloo, Mohsen

    2016-01-01

    Subjective well-being is predominantly conceived as having 3 components: life satisfaction, positive affect, and negative affect. This article reports 2 studies that seek to investigate the factor structure of subjective well-being in Iran. One-, two-, and three-factor models of subjective well-being were evaluated using confirmatory factor analysis (CFA) and exploratory structural equation modeling (ESEM). The results of Study 1 (N = 2,197) and Study 2 (N = 207) show that whereas the 1- and 2-factor models do not fit the data well, the 3-factor model provides an adequate fit. These results indicate that the 3 components of subjective well-being constitute 3 interrelated, yet distinct, factors. The analyses demonstrate how traditional CFA and ESEM can be combined to obtain a clear picture of the measurement model of subjective well-being and generate new insights about individual items and cross-loadings needed to derive more parsimonious measures. Nuances relating to the assessment of subjective well-being in more collectivist and Muslim countries are discussed.

  19. A Two-Factor Model Better Explains Heterogeneity in Negative Symptoms: Evidence from the Positive and Negative Syndrome Scale.

    Science.gov (United States)

    Jang, Seon-Kyeong; Choi, Hye-Im; Park, Soohyun; Jaekal, Eunju; Lee, Ga-Young; Cho, Young Il; Choi, Kee-Hong

    2016-01-01

    Acknowledging separable factors underlying negative symptoms may lead to better understanding and treatment of negative symptoms in individuals with schizophrenia. The current study aimed to test whether the negative symptoms factor (NSF) of the Positive and Negative Syndrome Scale (PANSS) would be better represented by expressive and experiential deficit factors, rather than by a single factor model, using confirmatory factor analysis (CFA). Two hundred and twenty individuals with schizophrenia spectrum disorders completed the PANSS; subsamples additionally completed the Brief Negative Symptom Scale (BNSS) and the Motivation and Pleasure Scale-Self-Report (MAP-SR). CFA results indicated that the two-factor model fit the data better than the one-factor model; however, latent variables were closely correlated. The two-factor model's fit was significantly improved by accounting for correlated residuals between N2 (emotional withdrawal) and N6 (lack of spontaneity and flow of conversation), and between N4 (passive social withdrawal) and G16 (active social avoidance), possibly reflecting common method variance. The two NSF factors exhibited differential patterns of correlation with subdomains of the BNSS and MAP-SR. These results suggest that the PANSS NSF would be better represented by a two-factor model than by a single-factor one, and support the two-factor model's adequate criterion-related validity. Common method variance among several items may be a potential source of measurement error under a two-factor model of the PANSS NSF.

  20. 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...

  1. A Second Generation Nonlinear Factor Analysis.

    Science.gov (United States)

    Etezadi-Amoli, Jamshid; McDonald, Roderick P.

    1983-01-01

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

  2. Psychometric properties of the Dresden Body Image Questionnaire: A multiple-group confirmatory factor analysis across sex and age in a Dutch non-clinical sample

    Science.gov (United States)

    Scheffers, Mia; van Duijn, Marijtje A. J.; Bosscher, Ruud J.; Wiersma, Durk; Schoevers, Robert A.; van Busschbach, Jooske T.

    2017-01-01

    Background Body image has implications for psychosocial functioning and quality of life and its disturbance is reported in a broad range of psychiatric disorders. In view of the lack of instruments in Dutch measuring body image as a broad concept, we set out to make an instrument available that reflects the multidimensional character of this construct by including more dimensions than physical appearance. The Dresden Körperbildfragebogen (DBIQ, Dresden Body Image Questionnaire) particularly served this purpose. The DBIQ consists of 35 items and five subscales: body acceptance, sexual fulfillment, physical contact, vitality, and self-aggrandizement. The main objective of the present study was to evaluate the psychometric properties of the Dutch translation of the Dresden Body Image Questionnaire (DBIQ-NL) in a non-clinical sample. Methods The psychometric properties of the DBIQ-NL were examined in a non-clinical sample of 988 respondents aged between 18 and 65. We investigated the subscales' internal consistency and test-retest reliability. In order to establish construct validity we evaluated the association with a related construct, body cathexis, and with indices of self-esteem and psychological wellbeing. The factor structure of the DBIQ-NL was examined via confirmatory factor analysis (CFA). The equivalence of the measurement model across sex and age was evaluated by multiplegroup confirmatory factor analyses. Results Confirmatory factor analyses showed a structure in accordance with the original scale, where model fit was improved significantly by moving one item to another subscale. Multiple group confirmatory factor analysis across sex and age demonstrated partial strong invariance. Internal consistency was good with little overlap between the subscales. Temporal reliability and construct validity were satisfactory. Conclusion Results indicate that the DBIQ-NL is a reliable and valid instrument for non-clinical subjects. This provides a sound basis for

  3. Power spectrum, correlation function, and tests for luminosity bias in the CfA redshift survey

    Science.gov (United States)

    Park, Changbom; Vogeley, Michael S.; Geller, Margaret J.; Huchra, John P.

    1994-01-01

    We describe and apply a method for directly computing the power spectrum for the galaxy distribution in the extension of the Center for Astrophysics Redshift Survey. Tests show that our technique accurately reproduces the true power spectrum for k greater than 0.03 h Mpc(exp -1). The dense sampling and large spatial coverage of this survey allow accurate measurement of the redshift-space power spectrum on scales from 5 to approximately 200 h(exp -1) Mpc. The power spectrum has slope n approximately equal -2.1 on small scales (lambda less than or equal 25 h(exp -1) Mpc) and n approximately -1.1 on scales 30 less than lambda less than 120 h(exp -1) Mpc. On larger scales the power spectrum flattens somewhat, but we do not detect a turnover. Comparison with N-body simulations of cosmological models shows that an unbiased, open universe CDM model (OMEGA h = 0.2) and a nonzero cosmological constant (CDM) model (OMEGA h = 0.24, lambda(sub zero) = 0.6, b = 1.3) match the CfA power spectrum over the wavelength range we explore. The standard biased CDM model (OMEGA h = 0.5, b = 1.5) fails (99% significance level) because it has insufficient power on scales lambda greater than 30 h(exp -1) Mpc. Biased CDM with a normalization that matches the Cosmic Microwave Background (CMB) anisotropy (OMEGA h = 0.5, b = 1.4, sigma(sub 8) (mass) = 1) has too much power on small scales to match the observed galaxy power spectrum. This model with b = 1 matches both Cosmic Background Explorer Satellite (COBE) and the small-scale power spect rum but has insufficient power on scales lambda approximately 100 h(exp -1) Mpc. We derive a formula for the effect of small-scale peculiar velocities on the power spectrum and combine this formula with the linear-regime amplification described by Kaiser to compute an estimate of the real-space power spectrum. Two tests reveal luminosity bias in the galaxy distribution: First, the amplitude of the pwer spectrum is approximately 40% larger for the brightest

  4. 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.

  5. 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.

  6. 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.

  7. 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.

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

    Science.gov (United States)

    Stewart, David W.; Deiker, Thomas

    1976-01-01

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

  9. Full Information Item Factor Analysis of the FCI

    Science.gov (United States)

    Hagedorn, Eric

    2010-02-01

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

  10. Exploratory matrix factorization for PET image analysis.

    Science.gov (United States)

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

    2010-01-01

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

  11. Shp-1 dephosphorylates TRPV1 in dorsal root ganglion neurons and alleviates CFA-induced inflammatory pain in rats.

    Science.gov (United States)

    Xiao, Xing; Zhao, Xiao-Tao; Xu, Ling-Chi; Yue, Lu-Peng; Liu, Feng-Yu; Cai, Jie; Liao, Fei-Fei; Kong, Jin-Ge; Xing, Guo-Gang; Yi, Ming; Wan, You

    2015-04-01

    Transient receptor potential vanilloid 1 (TRPV1) receptors are expressed in nociceptive neurons of rat dorsal root ganglions (DRGs) and mediate inflammatory pain. Nonspecific inhibition of protein-tyrosine phosphatases (PTPs) increases the tyrosine phosphorylation of TRPV1 and sensitizes TRPV1. However, less is known about tyrosine phosphorylation's implication in inflammatory pain, compared with that of serine/threonine phosphorylation. Src homology 2 domain-containing tyrosine phosphatase 1 (Shp-1) is a key phosphatase dephosphorylating TRPV1. In this study, we reported that Shp-1 colocalized with and bound to TRPV1 in nociceptive DRG neurons. Shp-1 inhibitors, including sodium stibogluconate and PTP inhibitor III, sensitized TRPV1 in cultured DRG neurons. In naive rats, intrathecal injection of Shp-1 inhibitors increased both TRPV1 and tyrosine-phosphorylated TRPV1 in DRGs and induced thermal hyperalgesia, which was abolished by pretreatment with TRPV1 antagonists capsazepine, BCTC, or AMG9810. Complete Freund's adjuvant (CFA)-induced inflammatory pain in rats significantly increased the expression of Shp-1, TRPV1, and tyrosine-phosphorylated TRPV1, as well as the colocalization of Shp-1 and TRPV1 in DRGs. Intrathecal injection of sodium stibogluconate aggravated CFA-induced inflammatory pain, whereas Shp-1 overexpression in DRG neurons alleviated it. These results suggested that Shp-1 dephosphorylated and inhibited TRPV1 in DRG neurons, contributing to maintain thermal nociceptive thresholds in normal rats, and as a compensatory mechanism, Shp-1 increased in DRGs of rats with CFA-induced inflammatory pain, which was involved in protecting against excessive thermal hyperalgesia.

  12. Effect of new polyherbal formulations DF1911, DF2112 and DF2813 on CFA induced inflammation in rat model.

    Science.gov (United States)

    Nagarkar, Bhagyashri; Jagtap, Suresh

    2017-04-04

    Aim of the present study was to evaluate anti-inflammatory activity of newly developed polyherbal formulations DF1911, DF2112 and DF2813. These newly developed formulations are modifications of Dashamoola, a well known Ayurvedic formulation, along with addition of new plants. Complete Freund's adjuvant (CFA) induced inflammation in rat was used as an experimental model. Effects of the treatment in rats were monitored by physiological and biochemical parameters, histopathology and through gene expression studies. Diclofenac sodium showed maximum percentage inhibition (56.8 ± 3.5%) of paw edema followed by Dashamoola Kwatha (19.9 ± 1.8%). Among test formulations treated groups, DF1911 at 250 mg/kg bw (48.2 ± 5.4%, p CFA rats were normalized after treatment with test formulations. Results of serum markers and histopathological observations also supported the activity of formulations. Increased MDA levels in liver tissue of CFA injected animals significantly (p < 0.05) decreased by Diclofenac sodium and test formulation treated groups. DF1911, DF2112 and DF2813 showed down-regulation of IL1-β (~6.4-fold, ~5.2-fold and ~7.6-fold), IL-6 (~1.1-fold, ~1.6-fold and ~1.9-fold), TNF-α (~2.0-fold, ~4.6-fold and ~3.5-fold), and iNOS (~1.2-fold, ~1.8-fold and ~1.1-fold) in inflamed paw tissue compared to negative control group, respectively. The anti-inflammatory effects of DF1911 and DF2112 in rats were significantly higher than the Dashamoola Kwatha and are comparable to Diclofenac sodium.

  13. Iatrogenic injuries of the common femoral artery (CFA) and external iliac artery (EIA) during endograft placement: an underdiagnosed entity.

    Science.gov (United States)

    Hingorani, Anil P; Ascher, Enrico; Marks, Natalie; Shiferson, Alexander; Patel, Nirav; Gopal, Kapil; Jacob, Theresa

    2009-09-01

    Early limb occlusions following endovascular treatment of aorto-iliac aneurysmal disease is not uncommon (4%-13%). To assess whether the femoral artery entry site could potentially cause this complication, we prospectively evaluated the ipsilateral common femoral artery (CFA) and distal external iliac artery (EIA) with intraoperative duplex scans (IDS). There were 134 patients with infrarenal nonruptured abdominal aorto-iliac aneurysms treated with endografts since 2002 at our institution. Age ranged from 65 to 89 years (mean: 77 +/- 7 years). Aneuryx (n = 41), Zenith (n = 50), and Excluder (n = 43) endografts were used for repair. All procedures were performed via open exposure of the CFA. Introducer diameter varied from 12 mm to 22 mm. All patients underwent IDS of the CFA and distal EIA after repair of the arteriotomies. In 34 patients (25%), we documented intimal dissections causing severe (>70%) stenoses. Of the 271 arteries that were examined, 38 (14%) had abnormal findings that demanded intervention. These were repaired with flap excision, tacking sutures revision, or patch angioplasty (n = 36). Repeat IDS confirmed the adequacy of the repair. No statistical difference was noted if the site of larger introducer sheath and the incidence of flap formation. In addition, 10 small flaps or plaques were visualized but did not create significant stenosis. No differences were noted in the incidence of positive duplex exams between each type graft (P = .4). No early or late iliac limb occlusions were noted. Follow-up of 94% was obtained. Completion arterial duplex scans are helpful in detecting a substantial number of clinically unsuspected technical defects caused by introducer sheaths. Timely diagnosis and repair of these defects may decrease the incidence of early limb occlusion following endograft placement.

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

    Directory of Open Access Journals (Sweden)

    Saurabh Mishra

    2014-12-01

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

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

    OpenAIRE

    Steponas Jonušauskas; Agota Giedre Raisiene

    2016-01-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    1982-01-01

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

  17. Effect Factors of Liquid Scintillation Analysis

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

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

  18. Disruption of δ-opioid receptor phosphorylation at Threonine 161 attenuates morphine tolerance in rats with CFA-induced inflammatory hypersensitivity

    Institute of Scientific and Technical Information of China (English)

    Hai-Jing Chen; Wei-Yan Xie; Fang Hu; Ying Zhang; Jun Wang; Yun Wang

    2012-01-01

    Objective Our previous study identified Threonine 161 (Thr-161),located in the second intracellular loop of the δ-opioid receptor (DOR),as the only consensus phosphorylation site for cyclin-dependent kinase 5 (Cdk5).The aim of this study was to assess the function of DOR phosphorylation by Cdk5 in complete Freund's adjuvant (CFA)-induced inflammatory pain and morphine tolerance.Methods Dorsal root ganglion (DRG) neurons of rats with CFA-induced inflammatory pain were acutely dissociated and the biotinylation method was used to explore the membrane localization of phosphorylated DOR at Thr-161 (pThr-161-DOR),and paw withdrawal latency was measured after intrathecal delivery of drugs or Tat-peptide,using a radiant heat stimulator in rats with CFA-induced inflammatory pain.Results Both the total amount and the surface localization of pThr-161-DOR were significantly enhanced in the ipsilateral DRG following CFA injection.Intrathecal delivery of the engineered Tat fusion-interefering peptide corresponding to the second intracellular loop of DOR (Tat-DOR-2L) increased inflammatory hypersensitivity,and inhibited DOR-but not μ-opioid receptor-mediated spinal analgesia in CFA-treated rats.However,intrathecal delivery of Tat-DOR-2L postponed morphine antinociceptive tolerance in rats with CFA-induced inflammatory pain.Conclusion Phosphorylation of DOR at Thr-161 by Cdk5 attenuates hypersensitivity and potentiates morphine tolerance in rats with CFA-induced inflammatory pain,while disruption of the phosphorylation of DOR at Thr-161 attenuates morphine tolerance.

  19. The Temporal Experience of Pleasure Scale (TEPS: exploration and confirmation of factor structure in a healthy Chinese sample.

    Directory of Open Access Journals (Sweden)

    Raymond C K Chan

    Full Text Available BACKGROUND: The Temporal Experience of Pleasure Scale (TEPS is a measure specifically designed to capture the anticipatory and consummatory facets of pleasure. However, few studies have examined the structure of the measure in non-Western samples. The current study aimed to evaluate the factor structure and psychometric properties of the TEPS in a Chinese sample. METHODS: We administered the Chinese version of the TEPS to 2275 healthy Chinese college students. They were randomly split into two sub-samples. The first sub-sample was used for exploratory factor analysis (EFA to examine the structure of the TEPS in a Chinese sample. The second sub-sample was used as a validation sample for the identified structure from the EFA and confirmatory factor analysis (CFA was adopted. RESULTS: Results of the EFA suggested a four-factor model (consummatory contextual, consummatory abstract, anticipatory contextual, and anticipatory abstract factors instead of the original two-factor model (consummatory and anticipatory factors ascertained from Western samples in the United States. The CFA results confirmed these results in the second sub-sample. Internal consistency and test-retest stability of the TEPS factors were good. CONCLUSIONS: The TEPS has four factors among Chinese participants. Possible reasons for cultural difference and potential applications of the TEPS for cross-cultural comparison are discussed.

  20. Design and characterization of a chimeric multiepitope construct containing CfaB, heat-stable toxoid, CssA, CssB, and heat-labile toxin subunit B of enterotoxigenic Escherichia coli: a bioinformatic approach.

    Science.gov (United States)

    Zeinalzadeh, Narges; Salmanian, Ali Hatef; Ahangari, Ghasem; Sadeghi, Mahdi; Amani, Jafar; Bathaie, S Zahra; Jafari, Mahyat

    2014-01-01

    Enterotoxigenic Escherichia coli (ETEC) strains are the most common cause of bacterial diarrhea in children in developing countries and travelers to these areas. Enterotoxins and colonization factors (CFs) are two key virulence factors in ETEC pathogenesis, and the heterogeneity of the CFs is the bottleneck in reaching an effective vaccine. In this study, a candidate subunit vaccine, which is composed of CfaB, CssA and CssB, structural subunits of colonization factor antigen I and CS6 CFs, labile toxin subunit B, and the binding subunit of heat-labile and heat-stable toxoid, was designed to provide broad-spectrum protection against ETEC. The different features of chimeric gene, its mRNA stability, and chimeric protein properties were analyzed by using bioinformatic tools. The optimized chimeric gene was chemically synthesized and expressed successfully in a prokaryotic host. The purified protein was used for assessment of bioinformatic data by experimental methods.

  1. Oral Escherichia coli colonization factor antigen I fimbriae ameliorate arthritis via IL-35, not IL-27.

    Science.gov (United States)

    Kochetkova, Irina; Thornburg, Theresa; Callis, Gayle; Holderness, Kathryn; Maddaloni, Massimo; Pascual, David W

    2014-01-15

    A Salmonella therapeutic expressing enterotoxigenic Escherichia coli colonization factor Ag I (CFA/I) fimbriae protects against collagen-induced arthritis (CIA) by eliciting two regulatory T cell (Treg) subsets: TGF-β-producing Foxp3(-)CD39(+)CD4(+) T cells and IL-10-producing Foxp3(+)CD39(+)CD4(+) T cells. However, it is unclear whether CFA/I fimbriae alone are protective and whether other regulatory cytokines are involved, especially in the context for the EBI3-sharing cytokines, Treg-derived IL-35 and APC-derived IL-27, both capable of suppressing Th17 cells and regulating autoimmune diseases. Subsequent evaluation revealed that a single oral dose of purified, soluble CFA/I fimbriae protected against CIA as effectively as did Salmonella-CFA/I and found that Foxp3(+)CD39(+)CD4(+) T cells were the source of secreted IL-35, whereas IL-27 production by CD11c(+) cells was inhibited. Inquiring into their relevance, CFA/I fimbriae-treated IL-27R-deficient (WSX-1(-/-)) mice were equally protected against CIA as were wild-type mice, suggesting a limited role for IL-27. In contrast, CFA/I fimbriae-mediated protection was abated in EBI3(-/-) mice, accompanied by the loss of TGF-β- and IL-10-producing Tregs. Adoptive transfer of C57BL/6 CD39(+)CD4(+) T cells to EBI3(-/-) mice with concurrent CFA/I plus IL-35 treatment effectively stimulated Tregs suppressing proinflammatory collagen II-specific Th cells. In contrast, recipients cotransferred with C57BL/6 and EBI3(-/-) CD39(+)CD4(+) T cells and treated with CFA/I plus IL-35 were not protected, implicating the importance of endogenous IL-35 for conferring CFA/I-mediated protection. Thus, CFA/I fimbriae stimulate IL-35 required for the coinduction of TGF-β and IL-10.

  2. Computer Modeling of Sand Transport on Mars Using a Compart-Mentalized Fluids Algorithm (CFA)

    Science.gov (United States)

    Marshall, J.; Stratton, D.

    1999-01-01

    of sand comminution on Mars. A multiple-grain transport model using just the equations of grain motion describing lift and drag is impossible to develop owing to stochastic effects --the very effects we wish to model. Also, unless we were to employ supercomputing techniques and extremely complex computer codes that could deal with millions of grains simultaneously, it would also be difficult to model grain transport if we attempted to consider every grain in motion. No existing computer models were found that satisfactorily used the equations of motion to arrive at transport flux numbers for the different populations of saltation and reptation. Modeling all the grains in a transport system was an intractable problem within our resources, and thus we developed what we believe to be a new modeling approach to simulating grain transport. The CFA deals with grain populations, but considers them to belong to various compartmentalized fluid units in the boundary layer. In this way, the model circumvents the multigrain problem by dealing primarily with the consequences of grain transport --momentum transfer between air and grains, which is the physical essence of a dynamic grain-fluid mixture. We thus chose to model the aeolian transport process as a superposition of fluids. These fluids include the air as well as particle populations of various properties. The prime property distinguishing these fluids is upward and downward grain motion. In a normal saltation trajectory, a grain's downwind velocity increases with time, so a rising grain will have a smaller downwind velocity than a failing grain. Because of this disparity in rising and falling grain proper-ties, it seemed appropriate to track these as two separate grain populations within the same physical space. The air itself can be considered a separate fluid superimposed within and interacting with the various grain-cloud "fluids". Additional informaiton is contained in the original.

  3. Transcutaneous electrical nerve stimulation on Yongquan acupoint reduces CFA-induced thermal hyperalgesia of rats via down-regulation of ERK2 phosphorylation and c-Fos expression.

    Science.gov (United States)

    Yang, Lin; Yang, Lianxue; Gao, Xiulai

    2010-07-01

    Activation of extracellular signal-regulated kinase-1/2 (ERK1/2) and its involvement in regulating gene expression in spinal dorsal horn, cortical and subcortical neurons by peripheral noxious stimulation contribute to pain hypersensitivity. Transcutaneous electrical nerve stimulation (TENS) is a treatment used in physiotherapy practice to promote analgesia in acute and chronic inflammatory conditions. In this study, a total number of 114 rats were used for three experiments. Effects of complete Freund's adjuvant (CFA)-induced inflammatory pain hypersensitivity and TENS analgesia on ERK1/2 phosphorylation and c-Fos protein expression were examined by using behavioral test, Western blot, and immunostaining methods. We found that CFA injection caused an area of localized swelling, erythema, hypersensitivity to thermal stimuli, the decreased response time of hind paw licking (HPL), as well as upregulation of c-Fos protein expression and ERK2 phosphorylation in the ipsilateral spinal dorsal horn and the contralateral primary somatosensory area of cortex and the amygdala of rats. TENS on Yongquan acupoint for 20 min produced obvious analgesic effects as demonstrated with increased HPL to thermal stimuli of CFA-treated rats. In addition, TENS application suppressed the CFA-induced ERK2 activation and c-Fos protein expression. These results suggest that down-regulation of ERK2 phosphorylation and c-Fos expression were involved in TENS inhibition on CFA-induced thermal hyperalgesia of rats.

  4. FACTOR ANALYSIS OF THE ELKINS HYPNOTIZABILITY SCALE

    Science.gov (United States)

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

    2015-01-01

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

  5. ANALYSIS OF EXTERNAL FACTORS AFFECTING THE PRICING

    Directory of Open Access Journals (Sweden)

    Irina A. Kiseleva

    2013-01-01

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

  6. Lagoon Seepage Testing Report for Central Facilities Area (CFA) Sewage Lagoons at Idaho National Laboratory, Butte County, Idaho

    Energy Technology Data Exchange (ETDEWEB)

    Morrison, Bridger [Idaho National Lab. (INL), Idaho Falls, ID (United States)

    2014-09-01

    J-U-B ENGINEERS, Inc. (J-U-B) performed seepage tests on the CFA Wastewater Lagoons 1, 2, and 3 between August 26th and September 22nd, 2014. The lagoons were tested to satisfy the Idaho Department of Environmental Quality (DEQ) Rules (IDAPA 58.01.16) that require all lagoons be tested at a frequency of every 10 years and the Compliance Activity CA-141-03 in the DEQ Wastewater Reuse Permit for the CFA Sewage Treatment Plant (LA-000141-03). The lagoons were tested to determine if the average seepage rates are less than 0.25 in/day, the maximum seepage rate allowed for lagoons built prior to April 15, 2007. The average seepage rates were estimated for each lagoon and are given in Table-ES1. The average seepage rates for Lagoons 1 and 2 are less than the allowable seepage rate of 0.25 in/day. Lagoon 1 and 2 passed the seepage test and will not have to be tested again until the year 20241. However, the average seepage rate for Lagoon 3 appears to exceed the allowable seepage rate of 0.25 in/day which means the potential source for the excessive leakage should be investigated further.

  7. Factor Analysis for Spectral Reconnaissance and Situational Understanding

    Science.gov (United States)

    2016-07-11

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

  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 African Self-Consciousness Scale Scores

    Science.gov (United States)

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

    2012-01-01

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

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

    Science.gov (United States)

    French, Brian F.; Finch, W. Holmes

    2008-01-01

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

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

    Science.gov (United States)

    Frederick, Brigitte N.

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

  12. 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.)

  13. Analytic standard errors for exploratory process factor analysis.

    Science.gov (United States)

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

    2014-07-01

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

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

    Science.gov (United States)

    Schroeder, Susan; Fulton, David C.

    2015-01-01

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

  15. Analysis of Interaction Factors Between Two Piles

    Institute of Scientific and Technical Information of China (English)

    CAO Ming; CHEN Long-zhu

    2008-01-01

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

  16. Analysis of factors affecting fattening of chickens

    OpenAIRE

    OBERMAJEROVÁ, Barbora

    2013-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Naser Azad

    2013-03-01

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

  18. Configural frequency analysis as a method of determining patients' preferred decision-making roles in dialysis

    Directory of Open Access Journals (Sweden)

    Loeffert Sabine

    2010-09-01

    Full Text Available Abstract Background Numerous studies examined factors in promoting a patient preference for active participation in treatment decision making with only modest success. The purpose of this study was to identify types of patients wishing to participate in treatment decisions as well as those wishing to play a completely active or passive role based on a Germany-wide survey of dialysis patients; using a prediction typal analysis method that defines types as configurations of categories belonging to different attributes and takes particularly higher order interactions between variables into account. Methods After randomly splitting the original patient sample into two halves, an exploratory prediction configural frequency analysis (CFA was performed on one-half of the sample (n = 1969 and the identified types were considered as hypotheses for an inferential prediction CFA for the second half (n = 1914. 144 possible prediction types were tested by using five predictor variables and control preferences as criterion. An α-adjustment (0.05 for multiple testing was performed by the Holm procedure. Results 21 possible prediction types were identified as hypotheses in the exploratory prediction CFA; four patient types were confirmed in the confirmatory prediction CFA: patients preferring a passive role show low information seeking preference, above average trust in their physician, perceive their physician's participatory decision-making (PDM-style positive, have a lower educational level, and are 56-75 years old (Type 1; p 76 years old (Type 2; p p p Conclusions The method prediction configural frequency analysis was newly introduced to the research field of patient participation and could demonstrate how a particular control preference role is determined by an association of five variables.

  19. Examining Factor Structure of the Chinese Version of the PIRLS 2011 Home Questionnaire

    Directory of Open Access Journals (Sweden)

    Wai Ming Cheung

    2016-01-01

    Full Text Available The home questionnaire of the Progress in International Reading Literacy Study (PIRLS-HQ 2011 was designed to gather information from parents or primary caregivers of fourth-grade pupils on their reading literacy development related to aspects of pupils’ home lives across countries/districts. The questionnaire was translated into different languages for international comparison and research purposes. This study aims to assess the psychometric properties of the Chinese version of the PIRLS 2011 home questionnaire (PIRLS-HQCV 2011 and identify the underlying factor structure using exploratory factor analysis (EFA and confirmatory factor analysis (CFA among Chinese fourth-grade pupils in Hong Kong. A 7-factor structure model has been identified by EFA and confirmed to resemble much to the original PIRLS structure by CFA. Additional conceptually important domains have been identified which add further insights into the inconclusive results in the literature regarding the relationship between home factors and reading achievement. Implications for further studies are discussed.

  20. Housing Price Forecastability: A Factor Analysis

    DEFF Research Database (Denmark)

    Bork, Lasse; Møller, Stig Vinther

    2016-01-01

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

  1. Housing price forecastability: A factor analysis

    DEFF Research Database (Denmark)

    Møller, Stig Vinther; Bork, Lasse

    2017-01-01

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

  2. Intervention of electroacupuncture on spinal p38 MAPK/ATF-2/VR-1 pathway in treating inflammatory pain induced by CFA in rats.

    Science.gov (United States)

    Fang, Jian-Qiao; Du, Jun-Ying; Liang, Yi; Fang, Jun-Fan

    2013-03-22

    Previous studies have demonstrated that p38 MAPK signal transduction pathway plays an important role in the development and maintenance of inflammatory pain. Electroacupuncture (EA) can suppress the inflammatory pain. However, the relationship between EA effect and p38 MAPK signal transduction pathway in inflammatory pain remains poorly understood. It is our hypothesis that p38 MAPK/ATF-2/VR-1 and/or p38 MAPK/ATF-2/COX-2 signal transduction pathway should be activated by inflammatory pain in CFA-injected model. Meanwhile, EA may inhibit the activation of p38 MAPK signal transduction pathway. The present study aims to investigate that anti-inflammatory and analgesic effect of EA and its intervention on the p38 MAPK signal transduction pathway in a rat model of inflammatory pain. EA had a pronounced anti-inflammatory and analgesic effect on CFA-induced chronic inflammatory pain in rats. EA could quickly raise CFA-rat's paw withdrawal thresholds (PWTs) and maintain good and long analgesic effect, while it subdued the ankle swelling of CFA rats only at postinjection day 14. EA could down-regulate the protein expressions of p-p38 MAPK and p-ATF-2, reduced the numbers of p-p38 MAPK-IR cells and p-ATF-2-IR cells in spinal dorsal horn in CFA rats, inhibited the expressions of both protein and mRNA of VR-1, but had no effect on the COX-2 mRNA expression. The present study indicates that inhibiting the activation of spinal p38 MAPK/ATF-2/VR-1 pathway may be one of the main mechanisms via central signal transduction pathway in the process of anti-inflammatory pain by EA in CFA rats.

  3. Topical dura mater application of CFA induces enhanced expression of c-fos and glutamate in rat trigeminal nucleus caudalis: attenuated by KYNA derivate (SZR72).

    Science.gov (United States)

    Lukács, M; Warfvinge, K; Tajti, J; Fülöp, F; Toldi, J; Vécsei, L; Edvinsson, L

    2017-12-01

    Migraine is a debilitating neurological disorder where trigeminovascular activation plays a key role. We have previously reported that local application of Complete Freund's Adjuvant (CFA) onto the dura mater caused activation in rat trigeminal ganglion (TG) which was abolished by a systemic administration of kynurenic acid (KYNA) derivate (SZR72). Here, we hypothesize that this activation may extend to the trigeminal complex in the brainstem and is attenuated by treatment with SZR72. Activation in the trigeminal nucleus caudalis (TNC) and the trigeminal tract (Sp5) was achieved by application of CFA onto the dural parietal surface. SZR72 was given intraperitoneally (i.p.), one dose prior CFA deposition and repeatedly daily for 7 days. Immunohistochemical studies were performed for mapping glutamate, c-fos, PACAP, substance P, IL-6, IL-1β and TNFα in the TNC/Sp5 and other regions of the brainstem and at the C1-C2 regions of the spinal cord. We found that CFA increased c-fos and glutamate immunoreactivity in TNC and C1-C2 neurons. This effect was mitigated by SZR72. PACAP positive fibers were detected in the fasciculus cuneatus and gracilis. Substance P, TNFα, IL-6 and IL-1β immunopositivity were detected in fibers of Sp5 and neither of these molecules showed any change in immunoreactivity following CFA administration. This is the first study demonstrating that dural application of CFA increases the expression of c-fos and glutamate in TNC neurons. Treatment with the KYNA analogue prevented this expression.

  4. Upregulation of adrenomedullin in the spinal cord and dorsal root ganglia in the early phase of CFA-induced inflammation in rats.

    Science.gov (United States)

    Hong, Yanguo; Liu, Yushan; Chabot, Jean-Guy; Fournier, Alain; Quirion, Rémi

    2009-11-01

    Adrenomedullin (AM), a member of calcitonin gene-related peptide (CGRP) family, has been demonstrated to be a pronociceptive mediator [28]. This study was undertaken to investigate the role of AM in a model of complete Freund's adjuvant (CFA)-induced inflammatory pain. Injection of CFA, but not of saline, in the unilateral hindpaw produced an increase in the expression of AM-like immunoreactivity (AM-IR) in laminae I-II of the spinal cord as well as in small- and medium-sized dorsal root ganglion (DRG) neurons at 48 h. The content of AM in DRG on the side ipsilateral to CFA injection started to increase at 4 h and remained at high levels at 24 and 48 h. The selective antagonist of AM receptors, AM(22-52), administered intrathecally (i.t.) 24 h after CFA injection inhibited inflammation-associated hyperalgesia in a dose-dependent manner (2, 5 and 10 nmol). Impressively, this anti-hyperalgesic effect lasted for at least 24 h. I.t. administration of AM(22-52) (10 nmol) also reversed CFA-induced increase in AM-IR in the spinal dorsal horn and DRG. Furthermore, blockade of AM receptors abolished CFA-induced changes in the expression and content of CGRP-like immunoreactivity in these regions. Taken together, our results suggest that the upregulation of AM in DRG neurons contributes to the development of inflammatory pain, and this effect is mediated, at least in part, by enhancing the expression and release of CGRP. Blocking AM receptor downstream signaling effects using antagonists has the potential of relieving pain following the induction of inflammation.

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

    Directory of Open Access Journals (Sweden)

    de Silva Varuni A

    2011-08-01

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

  6. Starting a Conversation about Critical Frame Analysis: Reflections on Dealing with Methodology in Feminist Research

    NARCIS (Netherlands)

    Haar, M. van der; Verloo, M.M.T.

    2016-01-01

    With this article we are contributing to a conversation about Critical Frame Analysis (CFA) as a feminist research method. CFA was developed within the context of two collaborative and comparative research studies of gender equality policies in the European context, MAGEEQ (www.mageeq.net) and QUING

  7. Factors Effecting Unemployment: A Cross Country Analysis

    Directory of Open Access Journals (Sweden)

    Aurangzeb

    2013-01-01

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

  8. KYNA analogue SZR72 modifies CFA-induced dural inflammation- regarding expression of pERK1/2 and IL-1β in the rat trigeminal ganglion

    DEFF Research Database (Denmark)

    Lukács, M; Warfvinge, K; Kruse, L S

    2016-01-01

    modify the neurogenic inflammatory response in the trigeminal ganglion. METHODS: Inflammation in the trigeminal ganglion was induced by local dural application of Complete Freunds Adjuvant (CFA). Levels of phosphorylated MAP kinase pERK1/2 and IL-1β expression in V1 region of the trigeminal ganglion were...... investigated using immunohistochemistry and Western blot. FINDINGS: Pretreatment with one dose of SZR72 abolished the CFA-induced pERK1/2 and IL-1β activation in the trigeminal ganglion. No significant change was noted in case of repeated treatment with SZR72 as compared to a single dose. CONCLUSIONS...

  9. 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%.

  10. Discrepancies in Cornell Scale for Depression in Dementia (CSDD items between residents and caregivers, and the CSDD's factor structure

    Directory of Open Access Journals (Sweden)

    Wongpakaran N

    2013-06-01

    Full Text Available Nahathai Wongpakaran,1 Tinakon Wongpakaran,1 Robert van Reekum2,3 1Department of Psychiatry, Chiang Mai University, Chiang Mai, Thailand; 2Department of Psychiatry, 3Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada Purpose: This validation study aims to examine Cornell Scale for Depression in Dementia (CSDD items in terms of the agreement found between residents and caregivers, and also to compare alternative models of the Thai version of the CSDD. Patients and methods: A cross-sectional study was conducted of 84 elderly residents (46 women, 38 men, age range 60–94 years in a long-term residential home setting in Thailand between March and June 2011. The selected residents went through a comprehensive geriatric assessment that included use of the Mini-Mental State Examination, Mini-International Neuropsychiatric Interview, and CSDD instruments. Intraclass correlation (ICC was calculated in order to establish the level of agreement between the residents and caregivers, in light of the residents' cognitive status. Confirmatory factor analysis (CFA was adopted to evaluate the alternative CSDD models. Results: The CSDD yielded a high internal consistency (Cronbach's alpha = 0.87 and moderate agreement between residents and caregivers (ICC = 0.55; however, it was stronger in cognitively impaired subjects (ICC = 0.71. CFA revealed that there was no difference between the four-factor model, in which factors A (mood-related signs and E (ideational disturbance were collapsed into a single factor, and the five-factor model as per the original theoretical construct. Both models were found to be similar, and displayed a poor fit. Conclusion: The CSDD demonstrated a moderate level of interrater agreement between residents and caregivers, and was more reliable when used with cognitively impaired residents. CFA indicated a poorly fitting model in this sample. Keywords: Cornell Scale for Depression in Dementia (CSDD, factor structure

  11. Factor structure of a multidimensional gender identity scale in a sample of Chinese elementary school children.

    Science.gov (United States)

    Yu, Lu; Xie, Dong; Shek, Daniel T L

    2012-01-01

    This study examined the factor structure of a scale based on the four-dimensional gender identity model (Egan and Perry, 2001) in 726 Chinese elementary school students. Exploratory factor analyses suggested a three-factor model, two of which corresponded to "Felt Pressure" and "Intergroup Bias" in the original model. The third factor "Gender Compatibility" appeared to be a combination of "Gender Typicality" and "Gender Contentment" in the original model. Follow-up confirmatory factor analysis (CFA) indicated that, relative to the initial four-factor structure, the three-factor model fits the current Chinese sample better. These results are discussed in light of cross-cultural similarities and differences in development of gender identity.

  12. Factor Structure of a Multidimensional Gender Identity Scale in a Sample of Chinese Elementary School Children

    Directory of Open Access Journals (Sweden)

    Lu Yu

    2012-01-01

    Full Text Available This study examined the factor structure of a scale based on the four-dimensional gender identity model (Egan and Perry, 2001 in 726 Chinese elementary school students. Exploratory factor analyses suggested a three-factor model, two of which corresponded to “Felt Pressure” and “Intergroup Bias” in the original model. The third factor “Gender Compatibility” appeared to be a combination of “Gender Typicality” and “Gender Contentment” in the original model. Follow-up confirmatory factor analysis (CFA indicated that, relative to the initial four-factor structure, the three-factor model fits the current Chinese sample better. These results are discussed in light of cross-cultural similarities and differences in development of gender identity.

  13. Models of Inflammation: Carrageenan- or Complete Freund's Adjuvant (CFA)-Induced Edema and Hypersensitivity in the Rat.

    Science.gov (United States)

    McCarson, Kenneth E

    2015-09-01

    Animal models of inflammation are used to assess the production of inflammatory mediators at sites of inflammation, the processing of pain sensation at CNS sites, the anti-inflammatory properties of agents such as nonsteroidal anti-inflammatory drugs (NSAIDs), and the efficacy of putative analgesic compounds in reversing cutaneous hypersensitivity. Detailed in this unit are methods to elicit and measure carrageenan- and complete Freund's adjuvant (CFA)-induced cutaneous inflammation. Due to possible differences between the dorsal root sensory system and the trigeminal sensory system, injections into either the footpad or vibrissal pad are described. In this manner, cutaneous inflammation can be assessed in tissue innervated by the lumbar dorsal root ganglion neurons (footpad) or by the trigeminal ganglion neurons (vibrissal pad). Copyright © 2015 John Wiley & Sons, Inc.

  14. Assessing vocational outcome expectancy in individuals with serious mental illness: a factor-analytic approach.

    Science.gov (United States)

    Iwanaga, Kanako; Umucu, Emre; Wu, Jia-Rung; Yaghmaian, Rana; Lee, Hui-Ling; Fitzgerald, Sandra; Chan, Fong

    2017-07-04

    Self-determination theory (SDT) and self-efficacy theory (SET) can be used to conceptualize self-determined motivation to engage in mental health and vocational rehabilitation (VR) services and to predict recovery. To incorporate SDT and SET as a framework for vocational recovery, developing and validating SDT/SET measures in vocational rehabilitation is warranted. Outcome expectancy is an important SDT/SET variable affecting rehabilitation engagement and recovery. The purpose of this study was to validate the Vocational Outcome Expectancy Scale (VOES) for use within the SDT/SET vocational recovery framework. One hundred and twenty-four individuals with serious mental illness (SMI) participated in this study. Measurement structure of the VOES was evaluated using exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Both EFA and CFA results supported a two-factor structure: (a) positive outcome expectancy, and (b) negative outcome expectancy. The internal consistency reliability coefficients for both factors were acceptable. In addition, positive outcome expectancy correlated stronger than negative outcome expectancy with other SDT/SET constructs in the expected directions. The VOES is a brief, reliable and valid instrument for assessing vocational outcome expectancy in individuals with SMI that can be integrated into SDT/SET as a vocational rehabilitation engagement and recovery model in psychiatric rehabilitation.

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

    African Journals Online (AJOL)

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

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

    Directory of Open Access Journals (Sweden)

    Steponas Jonušauskas

    2016-06-01

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

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

    African Journals Online (AJOL)

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

  18. Meta analysis of risk factors for colorectal cancer

    Institute of Scientific and Technical Information of China (English)

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

    2003-01-01

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

  19. The Posttraumatic Growth Inventory: Factor Structure and Invariance in a Sample of Breast Cancer Patients and in a Non-Clinical Sample.

    Science.gov (United States)

    Ramos, Catarina; Leal, Isabel; Marôco, Ana Lúcia; Tedeschi, Richard G

    2016-10-03

    The Posttraumatic Growth Inventory (PTGI) is frequently used to assess positive changes following a traumatic event. The aim of the study is to examine the factor structure and the latent mean invariance of PTGI. A sample of 205 (M age = 54.3, SD = 10.1) women diagnosed with breast cancer and 456 (M age = 34.9, SD = 12.5) adults who had experienced a range of adverse life events were recruited to complete the PTGI and a socio-demographic questionnaire. We use Confirmatory Factor Analysis (CFA) to test the factor-structure and multi-sample CFA to examine the invariance of the PTGI between the two groups. The goodness of fit for the five-factor model is satisfactory for breast cancer sample (χ2(175) = 396.265; CFI = .884; NIF = .813; RMSEA [90% CI] = .079 [.068, .089]), and good for non-clinical sample (χ2(172) = 574.329; CFI = .931; NIF = .905; RMSEA [90% CI] = .072 [.065, .078]). The results of multi-sample CFA show that the model fit indices of the unconstrained model are equal but the model that uses constrained factor loadings is not invariant across groups. The findings provide support for the original five-factor structure and for the multidimensional nature of posttraumatic growth (PTG). Regarding invariance between both samples, the factor structure of PTGI and other parameters (i.e., factor loadings, variances, and co-variances) are not invariant across the sample of breast cancer patients and the non-clinical sample.

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

    Science.gov (United States)

    Anciano, D

    1986-11-01

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

  1. Determining Dimensionality of Exercise Readiness Using Exploratory Factor Analysis

    Directory of Open Access Journals (Sweden)

    Kelley Strohacker, Rebecca A. Zakrajsek

    2016-06-01

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

  2. 48 CFR 2115.404-71 - Profit analysis factors.

    Science.gov (United States)

    2010-10-01

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

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

    Institute of Scientific and Technical Information of China (English)

    2012-01-01

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

  4. Exploratory Tobit factor analysis for multivariate censored data

    NARCIS (Netherlands)

    Kamakura, WA; Wedel, M

    2001-01-01

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

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

    Science.gov (United States)

    Hogg, Nanette; Lomicky, Carol S.

    2012-01-01

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

  6. 公立医疗机构医生工作满意度结构的验证性因素分析%Confirmatory Factor Analysis of Job Satisfaction Structure of Physicians from Public Medical Institutions

    Institute of Scientific and Technical Information of China (English)

    张宜民; 冯学山

    2011-01-01

    目的 通过探讨公立医疗机构医生工作满意度的潜在因素结构,评价测量工具的结构效度.方法 自编医生工作满意度问卷(PJSQ-PMI),根据预调查探索性因素分析(EFA)结果提出假设模型,利用正式调查数据(N=1 451)进行多样本、多阶层验证性因素分析(CFA).结果 由58个原始指标组成的五因素模型Model A、A′的拟合效果不佳,而经项目组合后的简化修饰模型Model B′(含13个指标)与实际数据的拟合状态理想(GFI、NFI、CFI、IFI>0.9,RMSEA=0.075,RMR=0.024),在不同地区的样本中都获得支持;进一步构建的二阶模型Model C同样达到拟合要求(RMSEA=0.086,RMR=0.025,γ≥0.64),与Model B′的拟合卡方值之差CMIN=10.163,DF=5,P>0.05,根据简效法则接受Model C为较佳模型.结论 经EFA 与CFA相结合的多样本交叉检验显示,公立医疗机构医生工作满意度的潜在结构为简化的五因素二阶模型,表明问卷总体上具有较好的结构效度和测量稳定性.%Objective To assess construct validity of measurement tool through a probe into latent factorial structure of physicians' job satisfaction from public medical institutions. Methods Multi-sample, multi-order confirmatory factor analysis (CFA) was used in inspection of hypothesis models constructed according to the result of exploratory factor analysis(EFA). Formal data of three cities were surveyed by self-compiled PJS-PMI questionnaire. Results Though the five-factor model A&A' made of fifty-eight original indicators wasn't fitted well, the simplified model B'( including thirteen indicators)through item parceling could be supported ideally by entire sample data( GFI 、NFI、 CFI、IFI > 0. 9 ,RMSEA = 0. 075, RMR = 0. 024), and the same as by three single samples. Moreover, the second-order model C, raised on the basis of model B', could also reach the goodness-of-fit standards ( RMSEA = 0. 086, RMR = 0. 025,γ ≥ 0.64,ΔCMIN=10. 163,ΔDF=5,P>0. 05) and be

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

    Science.gov (United States)

    Simon, Merril A.; Tovar, Esau

    2004-01-01

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

  8. Oral health behavior among 25-year-old-Norwegian adults: factor structure, factorial invariance over time and trends.

    Science.gov (United States)

    Astrøm, Anne Nordrehaug

    2009-08-01

    Exploratory factor-analytical studies suggest that health behaviors are multidimensional, leading to hypotheses that such behaviors are bi- or tri-dimensional. This study applies confirmatory factor analysis (CFA), to semi-longitudinal data and provides new information about the factor structure of oral health-related behaviors among 25-year-old Norwegians. The purposes of the study were to (1) evaluate the factor structure of oral health behaviors and its invariance over time, (2) assess temporal changes in patterns of oral health behaviors and in their socioeconomic distribution between 1997 and 2007. Simple random samples of 1190 residents born in 1972 and 8000 residents born in 1982 were drawn from the populations of three counties in Western Norway in 1997 and 2007. Structured questionnaires were mailed to the eligible participants. After one reminder, 735 (58% women, response rate 62%) and 1509 (63.3% women, response rate 19%) replied. A correlated three-factor model with cross-loadings showed a better fit than a two-factor model to both the 1997 sample: chi(2)/df = 2.1, CFI = 0.95, RMSEA = 0.03 and the 2007 sample: chi2/df = 3.1, CFA = 0.95, RMSEA = 0.04. Multiple-group CFA showed an acceptable fit for the unconstrained model, CFA = 0.95, RMSEA = 0.03, and no statistically significant difference in fit between the unconstrained and constrained models (P = 0.739). Multiple binary logistic regression with three sum scores based on the behavioral factors sugar intake, drug use and oral health-enhancing behavior revealed that the odds ratios for frequent sugar intake (OR = 0.6, 95% CI: 0.5-0.8) and oral health-enhancing behavior (OR = 0.6, 95% CI: 0.5-0.7) were less in 2007 than in 1997. Drug use remained stable over time (OR = 0.9, 95% CI: 0.7-1.1). Educational differences in sugar intake observed in 1997 had leveled off in 2007. A three-factor structure fitted the data in 1997 and 2007 and the factor structure was invariant over time. This suggests that oral

  9. Validation of a five-factor model of a Chinese Mandarin version of the Positive and Negative Syndrome Scale (CMV-PANSS) in a sample of 813 schizophrenia patients.

    Science.gov (United States)

    Wu, Bo-Jian; Lan, Tsuo-Hung; Hu, Tsung-Ming; Lee, Shin-Min; Liou, Jiunn-Ying

    2015-12-01

    The Positive and Negative Syndrome Scale (PANSS) is one of the most widely used instruments for measuring the severity of schizophrenia. However, until now, there has not been a published, validated Chinese Mandarin version of the five-factor model PANSS with confirmatory factor analysis (CFA) for schizophrenic patients in Taiwan. A total of 813 subjects were recruited. Internal consistency was evaluated with Cronbach's alpha coefficient. For test re-test reliability, 57 patients were reassessed and intra-class correlation coefficients were calculated. For validity, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) using a Structured Equation Model were implemented to identify the factor model. The Cronbach's alpha coefficient was 0.928. The intra-class coefficient was 0.878 (95% CI: 0.79-0.92). The final model was composed of five factors. EFA explained a total of 64.2% of the variance. CFA indicated a good fitting model. Except for the PANSS items G7 (motor retardation), G8 (uncooperativeness), N5 (abstract thinking), and G10 (disorientation), this study found that the items loaded on these factors were similar to the consensus items published in prior studies. In summary, these findings support the Chinese Mandarin version of the PANSS as a reliable and valid instrument for the assessment of the severity of psychopathology in hospitalized, stable patients with schizophrenia. More effective and specific treatment models targeting sub-culture differences are expected to be developed in future studies. Copyright © 2015 Elsevier B.V. All rights reserved.

  10. Conditioning Analysis of Incomplete Cholesky Factorizations with Orthogonal Dropping

    Energy Technology Data Exchange (ETDEWEB)

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

    2013-08-01

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

  11. Conditioning Analysis of Incomplete Cholesky Factorizations with Orthogonal Dropping

    Energy Technology Data Exchange (ETDEWEB)

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

    2013-08-01

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

  12. Risk Factors Analysis on Traumatic Brain Injury Prognosis

    Institute of Scientific and Technical Information of China (English)

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

    2011-01-01

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

  13. Analysis on total factor productivity of Chinese provincial economy

    Institute of Scientific and Technical Information of China (English)

    GUO Qingwang; ZHAO Zhiyun; JIA Junxue

    2006-01-01

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

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

    Institute of Scientific and Technical Information of China (English)

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

    2016-01-01

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

  15. 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.

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

    Science.gov (United States)

    Strohacker, Kelley; Zakrajsek, Rebecca A

    2016-06-01

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

  17. Joint capsule treatment with enkephalin-encoding HSV-1 recombinant vector reduces inflammatory damage and behavioural sequelae in rat CFA monoarthritis.

    Science.gov (United States)

    Lu, Ying; McNearney, Terry A; Wilson, Steven P; Yeomans, David C; Westlund, Karin N

    2008-03-01

    This study assessed enkephalin expression induced by intra-articular application of recombinant, enkephalin-encoding herpes virus (HSV-1) and the impact of expression on nociceptive behaviours and synovial lining inflammation in arthritic rats. Replication-conditional HSV-1 recombinant vectors with cDNA encoding preproenkephalin (HSV-ENK), or control transgene beta-galactosidase cDNA (HSV-beta-gal; control) were injected into knee joints with complete Freund's adjuvant (CFA). Joint temperatures, circumferences and nociceptive behaviours were monitored on days 0, 7, 14 and 21 post CFA and vector treatments. Lumbar (L4-6) dorsal root ganglia (DRG) and spinal cords were immunostained for met-enkephalin (met-ENK), beta-gal, HSV-1 proteins and Fos. Joint tissues were immunostained for met-ENK, HSV-1 proteins, and inflammatory mediators Regulated on Activation, Normal T-cell Expressed and Secreted (RANTES) and cyclo-oxygenase-2, or stained with haematoxylin and eosin for histopathology. Compared to exuberant synovial hypertrophy and inflammatory cell infiltration seen in arthritic rats treated with CFA only or CFA and HSV-beta-gal, the CFA- and HSV-ENK-treated arthritic rats had: (i) striking preservation of synovial membrane cytoarchitecture with minimal inflammatory cell infiltrates; (ii) significantly improved nociceptive behavioural responses to mechanical and thermal stimuli; (iii) normalized Fos staining in lumbar dorsal horn; and (iv) significantly increased met-ENK staining in ipsilateral synovial tissue, lumbar DRG and spinal cord. The HSV-1 and transgene product expression were confined to ipsilateral lumbar DRG (HSV-1, met-ENK, beta-gal). Only transgene product (met-ENK and beta-gal) was seen in lumbar spinal cord sections. Targeted delivery of enkephalin-encoding HSV-1 vector generated safe, sustained opioid-induced analgesia with protective anti-inflammatory blunting in rat inflammatory arthritis.

  18. ANALYSIS OF RISK FACTORS IN 3901 PATIENTS WITH STROKE

    Institute of Scientific and Technical Information of China (English)

    Xin-Feng Liu; Guy van Melle; Julien Bogousslavsky

    2005-01-01

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

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

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    1981-01-01

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

  1. The factor structure of the Strengths and Difficulties Questionnaire (SDQ in Greek adolescents

    Directory of Open Access Journals (Sweden)

    Rotsika Vasiliki

    2009-08-01

    Full Text Available Abstract Background The Strengths and Difficulties Questionnaire (SDQ is a practical, economic and user-friendly screening instrument of emotional and behavioural problems in children and adolescents. This study was aimed primarily at evaluating the factor structure of the Greek version of the SDQ. Methods A representative nationwide sample of 1,194 adolescents (11 to 17 years old completed the questionnaire. Confirmatory factor analysis (CFA was conducted to assess the factor structure of the SDQ. Results CFA supported the original five-factor structure. The modification of the model provided some improvements. Internal consistency was acceptable for total difficulties, emotional symptoms and prosocial behaviour scale, moderate for hyperactivity/inattention scale and inadequate for peer and conduct problems scale. Older adolescents (aged 15 to 17 years reported more hyperactivity/inattention and conduct problems than younger ones (aged 11 to 14 years and girls reported more emotional symptoms and less prosocial behaviour problems than boys. Adolescents of low socioeconomic status (SES reported more difficulties than those of medium and high SES. Conclusion The Greek SDQ could be potentially considered as a community-wide screening instrument for adolescents' emotional and behavioural problems.

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

    Science.gov (United States)

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

    2016-09-13

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

  3. Structure of the CFA/III major pilin subunit CofA from human enterotoxigenic Escherichia coli determined at 0.90 Å resolution by sulfur-SAD phasing.

    Science.gov (United States)

    Fukakusa, Shunsuke; Kawahara, Kazuki; Nakamura, Shota; Iwashita, Takaki; Baba, Seiki; Nishimura, Mitsuhiro; Kobayashi, Yuji; Honda, Takeshi; Iida, Tetsuya; Taniguchi, Tooru; Ohkubo, Tadayasu

    2012-10-01

    CofA, a major pilin subunit of colonization factor antigen III (CFA/III), forms pili that mediate small-intestinal colonization by enterotoxigenic Escherichia coli (ETEC). In this study, the crystal structure of an N-terminally truncated version of CofA was determined by single-wavelength anomalous diffraction (SAD) phasing using five sulfurs in the protein. Given the counterbalance between anomalous signal strength and the undesired X-ray absorption of the solvent, diffraction data were collected at 1.5 Å resolution using synchrotron radiation. These data were sufficient to elucidate the sulfur substructure at 1.38 Å resolution. The low solvent content (29%) of the crystal necessitated that density modification be performed with an additional 0.9 Å resolution data set to reduce the phase error caused by the small sulfur anomalous signal. The CofA structure showed the αβ-fold typical of type IVb pilins and showed high structural homology to that of TcpA for toxin-coregulated pili of Vibrio cholerae, including spatial distribution of key residues critical for pilin self-assembly. A pilus-filament model of CofA was built by computational docking and molecular-dynamics simulation using the previously reported filament model of TcpA as a structural template. This model revealed that the CofA filament surface was highly negatively charged and that a 23-residue-long loop between the α1 and α2 helices filled the gap between the pilin subunits. These characteristics could provide a unique binding epitope for the CFA/III pili of ETEC compared with other type IVb pili.

  4. Measuring English Language Workplace Proficiency across Subgroups: Using CFA Models to Validate Test Score Interpretation

    Science.gov (United States)

    Yoo, Hanwook; Manna, Venessa F.

    2017-01-01

    This study assessed the factor structure of the Test of English for International Communication (TOEIC®) Listening and Reading test, and its invariance across subgroups of test-takers. The subgroups were defined by (a) gender, (b) age, (c) employment status, (d) time spent studying English, and (e) having lived in a country where English is the…

  5. Measuring English Language Workplace Proficiency across Subgroups: Using CFA Models to Validate Test Score Interpretation

    Science.gov (United States)

    Yoo, Hanwook; Manna, Venessa F.

    2017-01-01

    This study assessed the factor structure of the Test of English for International Communication (TOEIC®) Listening and Reading test, and its invariance across subgroups of test-takers. The subgroups were defined by (a) gender, (b) age, (c) employment status, (d) time spent studying English, and (e) having lived in a country where English is the…

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

    OpenAIRE

    Tazhibi, Mahdi; Sarrafzade, Sheida; Amini, Masoud

    2014-01-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    1982-01-01

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

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

    Science.gov (United States)

    Ferguson, Eamonn

    2001-11-01

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

  9. Intra-articular injection of Botulinum toxin A reduces neurogenic inflammation in CFA-induced arthritic rat model.

    Science.gov (United States)

    Wang, Lin; Wang, Kaile; Chu, Xiao; Li, Tieshan; Shen, Nana; Fan, Chenglei; Niu, Zhenyuan; Zhang, Xiaochen; Hu, Luoman

    2017-02-01

    Currently, administration of Botulinum toxin Type A (BoNT/A) to treat arthritic pain has promising efficacy in clinical research. However, the mechanisms underlying anti-neurogenic inflammation mediated by BoNT/A remains unclear. The aim of this study was to demonstrate the effectiveness in macro and micro levels and to explore the causal mechanism of BoNT/A. Wistar rats (n = 60) were injected with 50ul complete Freund's adjuvant (CFA) in the left ankle joint capsule to establish a model of chronic monoarthritis. Pain behaviour (Evoked pain assessment) and infrared thermal imaging testing were performed at the macroscopic level to assess the effectiveness of analgesia and anti-inflammation. Western blotting and immunofluorescence staining were used at the microscopic level in an attempt to determine the mechanisms of anti-nociceptive or anti-inflammatory effects of BoNT/A. Additionally, hematoxylin-eosin staining was also used to visualise the cartilage and the synovial degenerative conditions of arthritis. By comparing the outcome of the evoked pain test and immunofluorescence staining, there was a significant improvement in BoNT/A compared with the normal saline (NS) injected control group. In addition, thermal variations showed that the temperature of ipsilateral ankle joint increased between 1 and 2 weeks following injection of CFA, but decreased after 3 weeks (still above the contralateral side). However, the temperature showed no difference between the BoNT/A group and NS group after treatment. The expression of IL-1β or TNF-α in the ankle synovial tissue was significantly decreased in the BoNT/A group compared to the NS group (p < 0.05). Based on the HE assessment, cartilage degeneration and infiltration of inflammatory cells in the BoNT/A group was alleviated compared to the NS group after treatment. In conclusion, we proposed the hypothesis that intra-articular BoNT/A administration does play an important role in anti-neurogenic inflammation. The

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

    Science.gov (United States)

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

    2010-03-01

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

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

    Institute of Scientific and Technical Information of China (English)

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

    2008-01-01

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

  12. 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.

  13. 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.

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

    Institute of Scientific and Technical Information of China (English)

    Jing; GAO; Fang; YANG

    2013-01-01

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

  15. 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.

  16. Ranking insurance firms using AHP and Factor Analysis

    Directory of Open Access Journals (Sweden)

    Mohammad Khodaei Valahzaghard

    2013-03-01

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

  17. 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.

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

    Energy Technology Data Exchange (ETDEWEB)

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

    1989-02-01

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

  19. Higher-order models versus direct hierarchical models: g as superordinate or breadth factor?

    Directory of Open Access Journals (Sweden)

    GILLES E. GIGNAC

    2008-03-01

    Full Text Available Intelligence research appears to have overwhelmingly endorsed a superordinate (higher-order model conceptualization of g, in comparison to the relatively less well-known breadth conceptualization of g, as represented by the direct hierarchical model. In this paper, several similarities and distinctions between the indirect and direct hierarchical models are delineated. Based on the re-analysis of five correlation matrices, it was demonstrated via CFA that the conventional conception of g as a higher-order superordinate factor was likely not as plausible as a first-order breadth factor. The results are discussed in light of theoretical advantages of conceptualizing g as a first-order factor. Further, because the associations between group-factors and g are constrained to zero within a direct hierarchical model, previous observations of isomorphic associations between a lower-order group factor and g are questioned.

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

    Science.gov (United States)

    Mulaik, Stanley A.

    1987-01-01

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

  1. Cross friction algometry (CFA): Comparison of pressure pain thresholds between patients with chronic non-specific low back pain and healthy subjects.

    Science.gov (United States)

    Farasyn, Andre; Lassat, Bert

    2016-04-01

    Palpation is widely used to assess muscular sensitivity in clinical settings but still remains a subjective evaluation. This cross-sectional study assessed a newly developed cross-friction algometry making palpation measurable. The objective was to investigate the reliability of pressure pain thresholds obtained using Cross-Friction Algometry (CFA-PPTs) measured at the level of Erector spinae and Gluteus maximus central muscle parts, and to compare the CFA-PPTs between patients with chronic nonspecific low back pain (nCLBP) and matching healthy subjects. Patients presenting nCLBP to GP's and send into a Pain Center and healthy subjects recruited via university ad valvas & flyers distribution. 30 patients with nCLBP were measured for cross-friction algometry. Other evaluations consisted of the Visual Analogue Scale (VAS) and the Oswestry Disability Index (ODI). The inter- and intra-reliability were tested and found to be sufficient. The mean CFA-PPT values of the Erector spinae at levels T8, T10, L1 & L3 and the Gluteus maximus of the nCLBP group were significantly lower (p ≤ 0.001) when compared to the CFA-PPT values of the healthy group. The greatest difference (-58%) was found at L1 Erector spinae level and at the superior part of the Gluteus maximus measuring point (-59%). Within the group of patients with nCLBP it was surprising to notice that there was no significant correlation between all the reference points measured using CFA-PPTs and the outcomes of the VAS and ODI scores. With the aid of CFA, the importance of local muscular disorder in the lumbar part of the Erector spinae and Gluteus maximus in patients with nCLBP is obviously demonstrated, but also reveals the very large inter-individual differences in muscular fibrosis sensitivity and/or pain behavior in daily life. This possibly re-opens the debate on which influences can be put forward as the most important: the central or the peripheral sensitization system. Copyright © 2015 Elsevier Ltd. All

  2. Environmental cold exposure increases blood flow and affects pain sensitivity in the knee joints of CFA-induced arthritic mice in a TRPA1-dependent manner.

    Science.gov (United States)

    Fernandes, Elizabeth S; Russell, Fiona A; Alawi, Khadija M; Sand, Claire; Liang, Lihuan; Salamon, Robin; Bodkin, Jennifer V; Aubdool, Aisah A; Arno, Matthew; Gentry, Clive; Smillie, Sarah-Jane; Bevan, Stuart; Keeble, Julie E; Malcangio, Marzia; Brain, Susan D

    2016-01-11

    The effect of cold temperature on arthritis symptoms is unclear. The aim of this study was to investigate how environmental cold affects pain and blood flow in mono-arthritic mice, and examine a role for transient receptor potential ankyrin 1 (TRPA1), a ligand-gated cation channel that can act as a cold sensor. Mono-arthritis was induced by unilateral intra-articular injection of complete Freund's adjuvant (CFA) in CD1 mice, and in mice either lacking TRPA1 (TRPA1 KO) or respective wildtypes (WT). Two weeks later, nociception and joint blood flow were measured following exposure to 10 °C (1 h) or room temperature (RT). Primary mechanical hyperalgesia in the knee was measured by pressure application apparatus; secondary mechanical hyperalgesia by automated von Frey system; thermal hyperalgesia by Hargreaves technique, and weight bearing by the incapacitance test. Joint blood flow was recorded by full-field laser perfusion imager (FLPI) and using clearance of (99m)Technetium. Blood flow was assessed after pretreatment with antagonists of either TRPA1 (HC-030031), substance P neurokinin 1 (NK1) receptors (SR140333) or calcitonin gene-related peptide (CGRP) (CGRP8-37). TRPA1, TAC-1 and CGRP mRNA levels were examined in dorsal root ganglia, synovial membrane and patellar cartilage samples. Cold exposure caused bilateral primary mechanical hyperalgesia 2 weeks after CFA injection, in a TRPA1-dependent manner. In animals maintained at RT, clearance techniques and FLPI showed that CFA-treated joints exhibited lower blood flow than saline-treated joints. In cold-exposed animals, this reduction in blood flow disappears, and increased blood flow in the CFA-treated joint is observed using FLPI. Cold-induced increased blood flow in CFA-treated joints was blocked by HC-030031 and not observed in TRPA1 KOs. Cold exposure increased TRPA1 mRNA levels in patellar cartilage, whilst reducing it in synovial membranes from CFA-treated joints. We provide evidence that environmental

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

    Directory of Open Access Journals (Sweden)

    Konomi Tonogi

    2014-04-01

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

  4. Landslides geotechnical analysis. Qualitative assessment by valuation factors

    Science.gov (United States)

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

    2012-04-01

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

  5. Factor structure and psychometric properties of the European Portuguese version of a questionnaire to assess quality of life in HIV-infected adults: the WHOQOL-HIV-Bref.

    Science.gov (United States)

    Canavarro, Maria C; Pereira, Marco

    2012-01-01

    The aim of the current study was to examine the factor structure and the psychometric properties of the European Portuguese version of the World Health Organization's Quality of Life Instrument in HIV Infection (WHOQOL-HIV-Bref). Exploratory factor analysis (EFA) and confirmatory factors analysis (CFA) were conducted on self-reported WHOQOL-HIV-Bref data from 1196 HIV-positive patients, frequenting the main departments of infectious diseases in Portugal. An EFA with a randomly chosen subsample suggested a five-domain structure for the WHOQOL-HIV-Bref. CFA validated this five-domain structure in a separate subsample, but also revealed that the original six-domain model fit the data. Accordingly, it was decided to use the original factor structure. Based on the original six domain structure, the European Portuguese version of WHOQOL-HIV-Bref showed acceptable internal consistency (alpha range: 0.61-0.80 across domains). All domains (with exception of Spirituality) clearly discriminated subjects considering the CD4+ T cell count subgroups. These findings revealed additional insights about the factor structure of the WHOQOL-HIV-Bref and provided evidence in support of the original six-domain structure. This instrument showed to be a cross-culturally valid measure of quality of life, particularly useful when addressing the impact of HIV not only on physical and psychological well-being but also on several domains beyond health.

  6. Hubble Space Telescope Observations of the CfA Seyfert 2s The Fueling of Active Galactic Nuclei

    CERN Document Server

    Martini, P; Pogge, Richard W; Martini, Paul

    1999-01-01

    We present an investigation of possible fueling mechanisms operating in the inner kiloparsec of Seyfert galaxies. We analyze visible and near-infrared Hubble Space Telescope images of 24 Seyfert 2s from the CfA Redshift Survey sample. In particular, we are searching for the morphological signatures of dynamical processes reponsible for transporting gas from kiloparsec scales into the nucleus. The circumnuclear regions are very rich in gas and dust, often taking the form of nuclear spiral dust lanes on scales of a few hundred parsecs. While these nuclear spirals are found in 20 of our 24 Seyferts, we find only 5 nuclear bars among the entire sample, strongly reinforcing the conclusions of other investigators that nuclear bars are not the primary means of transporting this material into the nucleus. An estimate of the gas density in the nuclear spirals based on extinction measurements suggests that the nuclear spiral dust lanes are probably shocks in nuclear gas disks that are not strongly self-gravitating. Sin...

  7. Public health implications of contamination of Franc CFA (XAF) circulating in Buea (Cameroon) with drug resistant pathogens.

    Science.gov (United States)

    Akoachere, Jane-Francis Tatah Kihla; Gaelle, Nana; Dilonga, Henry Meriki; Nkuo-Akenji, Theresa K

    2014-01-08

    Studies in different parts of the world have implicated money as a vehicle for transmission of pathogens. Such information which is necessary to facilitate infection control strategies is lacking in many sub-Saharan countries including Cameroon. This study analyzed the Franc de la Communauté Financiere d'Afrique (Franc CFA), the currency used in Cameroon and other countries in the Central African sub-region, as a potential vehicle for transmission of pathogenic bacteria and fungi, particularly drug-resistant strains, to generate findings which could create awareness on currency contamination and serve as a guide when formulating health policies on currency. Two hundred and thirteen currency samples representing various denominations of notes and coins randomly collected from diverse sources in Buea, Cameroon were analyzed for bacteria and fungi. The sensitivity of bacterial isolates to antibiotics was tested using the disc diffusion method. The relationship between contamination and physical state, source or denomination of currency was assessed using the χ2 test. All statistics were discussed at 0.05 significance level. Two hundred (93.9%) samples were contaminated with notes (96.6%) showing higher contamination than coins (88.2%). Uncirculated (mint) samples showed no contamination. There was a significant difference (PCFA franc circulating in Buea could serve as a vehicle for transmission of drug resistant pathogenic or potential organisms and contamination could be due to currency usage and handling as mint notes were not contaminated. Hygiene practices during or after handling currency is greatly encouraged to prevent infection.

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

    Science.gov (United States)

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

    2010-03-01

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

  9. A High-Resolution Continuous Flow Analysis System for Polar Ice Cores

    DEFF Research Database (Denmark)

    Dallmayr, Remi; Goto-Azuma, Kumiko; Kjær, Helle Astrid;

    2016-01-01

    of Polar Research (NIPR) in Tokyo. The system allows the continuous analysis of stable water isotopes and electrical conductivity, as well as the collection of discrete samples from both inner and outer parts of the core. This CFA system was designed to have sufficiently high temporal resolution to detect......In recent decades, the development of continuous flow analysis (CFA) technology for ice core analysis has enabled greater sample throughput and greater depth resolution compared with the classic discrete sampling technique. We developed the first Japanese CFA system at the National Institute...

  10. 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…

  11. 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…

  12. A Factor Analysis of Barriers to Effective Listening.

    Science.gov (United States)

    Golen, Steven

    1990-01-01

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

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

    Science.gov (United States)

    Merkle, Edgar C.

    2011-01-01

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

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

    Science.gov (United States)

    Fava, J L; Velicer, W F

    1992-07-01

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

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

    Science.gov (United States)

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

    2014-09-01

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

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

    Science.gov (United States)

    Buley, Jerry L.

    1995-01-01

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

  17. Factor analysis improves the selection of prescribing indicators

    DEFF Research Database (Denmark)

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

    2006-01-01

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

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

    Science.gov (United States)

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

    2011-02-01

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

  19. 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.

  20. Factor structure of the Eating Disorder Examination Questionnaire (EDE-Q) in male and female college athletes.

    Science.gov (United States)

    Darcy, Alison M; Hardy, Kristina K; Crosby, Ross D; Lock, James; Peebles, Rebecka

    2013-06-01

    The study explored the psychometric properties of the Eating Disorder Examination Questionnaire (EDE-Q) among 1637 university students. Participants were divided into male (n=432) and female (n=544) competitive athletes, and male (n=229) and female (n=429) comparison groups comprised of individuals who had not engaged in competitive sports for at least one year. All groups were subjected to confirmatory factor analysis (CFA) to test the fit of the published factor structure in this population, and then exploratory FA (EFA). A three-factor solution was the best fit for three out of four groups, with a two-factor solution providing best fit for the male comparison group. The first factor for all groups resembled a combined Shape and Weight Concern subscale. The factor structure among male and female competitive athletes was remarkably similar; however, non-competitive athletic/low activity males appear qualitatively different from other groups.

  1. 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

  2. Probing the Effects and Mechanisms of Electroacupuncture at Ipsilateral or Contralateral ST36-ST37 Acupoints on CFA-induced Inflammatory Pain.

    Science.gov (United States)

    Lu, Kung-Wen; Hsu, Chao-Kuei; Hsieh, Ching-Liang; Yang, Jun; Lin, Yi-Wen

    2016-02-24

    Transient receptor potential vanilloid 1 (TRPV1) and associated signaling pathways have been reported to be increased in inflammatory pain signaling. There are accumulating evidences surrounding the therapeutic effect of electroacupuncture (EA). EA can reliably attenuate the increase of TRPV1 in mouse inflammatory pain models with unclear signaling mechanisms. Moreover, the difference in the clinical therapeutic effects between using the contralateral and ipsilateral acupoints has been rarely studied. We found that inflammatory pain, which was induced by injecting the complete Freund's adjuvant (CFA), (2.14 ± 0.1, p CFA injection; this expression can be further attenuated significantly in EA treatment. TRPV1 and associated signaling pathways can be prevented in TRPV1 knockout mice, suggesting that TRPV1 knockout mice are resistant to inflammatory pain. Through this study, we have increased the understanding of the mechanism that both ipsilateral and contralateral EA might alter TRPV1 and associated signaling pathways to reduce inflammatory pain.

  3. The negative affect repair questionnaire: factor analysis and psychometric evaluation in three samples

    Directory of Open Access Journals (Sweden)

    Scherer Anne

    2013-01-01

    Full Text Available Abstract Background Negative affect and difficulties in its regulation have been connected to several adverse psychological consequences. While several questionnaires exist, it would be important to have a theory-based measure that includes clinically relevant items and shows good psychometric properties in healthy and patient samples. This study aims at developing such a questionnaire, combining the two Gross [1] scales Reappraisal and Suppression with an additional response-focused scale called Externalizing Behavioral Strategies covering clinically relevant items. Methods The samples consisted of 684 students (mean age = 23.3, SD = 3.5; 53.6% female and 369 persons with mixed mental disorders (mean age = 36.0 SD = 14.6; 71.2% female. Items for the questionnaire were derived from existing questionnaires and additional items were formulated based on suggestions by clinical experts. All items start with “When I don’t feel well, in order to feel better…”. Participants rated how frequently they used each strategy on a 5-point Likert scale. Confirmatory Factor Analyses were conducted to verify the factor structure in two separate student samples and a clinical sample. Group comparisons and correlations with other questionnaires were calculated to ensure validity. Results After modification, the CFA showed good model fit in all three samples. Reliability scores (Cronbach’s α for the three NARQ scales ranged between .71 and .80. Comparisons between students and persons with mental disorders showed the postulated relationships, as did comparisons between male and female students and persons with or without Borderline Personality Disorder. Correlations with other questionnaires suggest the NARQ’s construct validity. Conclusions The results indicate that the NARQ is a psychometrically sound and reliable measure with practical use for therapy planning and tracking of treatment outcome across time. We advocate the integration

  4. 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.

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

    Directory of Open Access Journals (Sweden)

    P. N. Suresh Kumar

    2013-01-01

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

  6. Periploca forrestii Saponin Ameliorates Murine CFA-Induced Arthritis by Suppressing Cytokine Production.

    Science.gov (United States)

    Liu, Yingqin; Li, Minghui; He, Qiuhong; Yang, Xinping; Ruan, Fang; Sun, Guangchen

    2016-01-01

    Periploca forrestii Schltr. has been used as a Chinese folk medicine due to its versatile pharmacological effects such as promoting wounds and rheumatoid arthritis. However, the antiarthritic activity of Periploca forrestii saponin (PFS) and its active compound Periplocin has still not been demonstrated. Here, we evaluated the antiarthritic effects of PFS in adjuvant-induced arthritis (AIA) rats by intragastric administration at a dose of 50 mg/kg. The anti-inflammatory activities of Periplocin were also examined in LPS-induced AIA splenocytes and synoviocytes. PFS significantly ameliorated joint swelling; inhibited bone erosion in joints; lowered levels of IL-6 and TGF-β1 in AIA rat splenocyte; and reduced joint protein expression levels of phospho-STAT3 and IKKα. Using LPS-induced AIA splenocytes, we demonstrate that Periplocin suppressed the key proinflammatory cytokines levels of IL-6, IFN-γ, TGF-β1, and IL-13 and IL-22 and transcription factor levels of T-bet, GATA3, and C-Jun genes. Periplocin also suppressed LPS-induced cytokine secretion from synoviocytes. Our study highlights the antiarthritic activity of PFS and its derived Periplocin and the underlying mechanisms. These results provide a strong rationale for further testing and validation of the use of Periploca forrestii Schltr. as an alternative modality for the treatment of RA.

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

    Directory of Open Access Journals (Sweden)

    Jason W. Osborne

    2012-11-01

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

  8. Endocrine response patterns after uncontrollable experimental stress: an application of CFA

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    Matthias J. Müller

    2012-06-01

    Full Text Available According to biological stress theories cortisol increases (C+ and testosterone decreases (T- characterize uncontrollable (UC stress and the opposite pattern is observed in controllable (CON stress. The influence of CON/UC on hormone responses to a mental (d2 and a physical (E short-term stressor was tested by two-sample configural frequency analysis in a cross-over design on 74 healthy males assigned to either CON or UC conditions. Areas under the response curves of saliva C and T were computed and dichotomized (+/-. The evaluation of bivariate response patterns (C/T revealed that the combination C+T- was significantly more prevalent after UC than after CON with both stressors. The pattern C-T+ constituted a significant discrimination type between CON and UC across both stressors.

  9. Involvement of PKA-dependent upregulation of nNOS-CGRP in adrenomedullin-initiated mechanistic pathway underlying CFA-induced response in rats.

    Science.gov (United States)

    Wang, Dongmei; Ruan, Liqin; Hong, Yanguo; Chabot, Jean-Guy; Quirion, Rémi

    2013-01-01

    We have previously shown that intrathecal administration of the adrenomedullin (AM) receptor antagonist AM(22-52) produces a long-lasting anti-hyperalgesia effect. This study examined the hypothesis that AM recruits other pronociceptive mediators in complete Freund's adjuvant (CFA)-induced inflammation. Injection of CFA in the hindpaw of rat produced an increase in the expression of nNOS in dorsal root ganglion (DRG) and the spinal dorsal horn. An intrathecal administration of AM(22-52), but not the CGRP antagonist BIBN4096BS, abolished the CFA-induced increase of nNOS. Moreover, AM-induced increase of CGRP was inhibited by the nNOS inhibitors L-NAME and 7-nitroindazole in cultured ganglion explants. Addition of AM to ganglion cultures induced an increase in nNOS protein, which was attenuated by the PKA inhibitor H-89. Treatment with AM also concentration-dependently increased cAMP content and pPKA protein level, but not its non-phosphorylated form, in cultured ganglia. In addition, nNOS was shown to be co-localized with the AM receptor components calcitonin receptor-like receptor and receptor activity-modifying protein 2- and 3 in DRG neurons. The present study suggests that the enhanced activity of nitric oxide (NO) mediates the biological action of AM at the spinal level and that AM recruits NO-CGRP via cAMP/PKA signaling in a mechanistic pathway underlying CFA-induced hyperalgesia. Copyright © 2012 Elsevier Inc. All rights reserved.

  10. Anti-hyperalgesic activity of the aqueous and methanol extracts of the leaves of Pittosporum mannii Hook on CFA-induced persistent inflammatory pain.

    Science.gov (United States)

    Wandji, Bibiane Aimée; Bomba, Francis Desire Tatsinkou; Nkeng-Efouet, Pepin Alango; Piegang, Basile Nganmegne; Kamanyi, Albert; Nguelefack, Télesphore Benoît

    2017-08-29

    Previous study showed that aqueous (AEPM) and methanol (MEPM) extracts from the leaves of Pittosporum mannii have analgesic effects in acute pain models. The present study evaluates the acute and chronic anti-hypernociceptive and anti-inflammatory effects of AEPM and MEPM in a model of persistent inflammatory pain. The third day after induction of inflammatory pain by subplantar injection of 100 µL of CFA in Wistar rats, AEPM and MEPM were administered orally (75, 150 and 300 mg/kg/day) and their anti-hyperalgesic and anti-inflammatory effects were follow in acute (1-24 h) and chronic (for 14 days) treatments. At the end of the chronic treatment, oxidative stress and liver parameters were assessed. Effects of plant extracts were also evaluated on nociception induced by Phorbol 12-Myristate 13-Acetate (PMA) and 8-bromo 3',5'-cAMP (8-Br-cAMP) in mice. AEPM and MEPM significantly reversed the mechanical hyperalgesia caused by CFA in acute and chronic treatment. Moreover, AEPM and MEPM also significantly reduced the nociception caused by PMA (60%) and 8-Br-cAMP (87%). Nevertheless, AEPM and MEPM failed to inhibit the paw edema caused by CFA. Plant extracts significantly reduced the nitric oxide content in the spinal cord and the plasmatic concentration of alanine aminotransferase. MEPM also significantly increased the glutathione content in the spinal cord. AEPM and MEPM given orally are effective in inhibiting mechanical hyperalgesia in persistent inflammatory pain caused by CFA. Their mechanisms of action seem to involve an interaction with PKC, PKA and nitric oxide pathways. These extracts might be devoid of hepatotoxic effects.

  11. Transcutaneous electrical nerve stimulation attenuates CFA-induced hyperalgesia and inhibits spinal ERK1/2-COX-2 pathway activation in rats

    OpenAIRE

    Fang, Jun-Fan; Liang, Yi; Du, Jun-Ying; Fang, Jian-Qiao

    2013-01-01

    Background Transcutaneous electrical nerve stimulation (TENS) is a non-pharmacologic treatment for pain relief. In previous animal studies, TENS effectively alleviated Complete Freund’s Adjuvant (CFA)- or carrageenan-induced inflammatory pain. Although TENS is known to produce analgesia via opioid activation in the brain and at the spinal level, few reports have investigated the signal transduction pathways mediated by TENS. Prior studies have verified the importance of the activation of extr...

  12. A Study on Factors Influencing Muslim’s Consumers Preferences Towards Takaful Products In Malaysia

    Directory of Open Access Journals (Sweden)

    Kamarul Ariffin Mansor

    2015-06-01

    Full Text Available Since the enactment of the Takaful Act 1984, Malaysia’s Takaful industry has been achieving momentum and increasingly recognized as a significant contributor to Malaysia’s overall Islamic financial system. Hence, for continuing future progress in financial industry’s rapid development, Malaysian government through Bank Negara Malaysia (BNM, invites financial institution across the world to establish Takaful and re-takaful operations in Malaysia to conduct foreign currency business. Nowadays, Muslim’s consumers have the option to choose either Takaful or conventional insurance product. In addition, based on the nature of Takaful product descriptions, it has a higher preference since it is Syariah compliant which align with the Islamic regulation. However, the concept of Takaful is still vague to many people even to the Muslim because there is no proper explanation to educate them on lot of hidden advantages of it. Therefore, this study investigates the causal relationship between consumer awareness, perception and religiosity towards Muslim’s consumer preferences on Takaful product. Primary data were collected through series of questions in a questionnaire that were distributed among Muslim’s Takaful customers of selected Takaful agencies. Analysis on the collected data was performed through confirmatory factor analysis (CFA and structural equation modelling (SEM using lavaan package in R software. A CFA result show fit indices that met the recommended values criteria. In addition, the path analysis in SEM reports that two out of three independent variables are significant contributors to Muslim’s customers’ preferences towards Takaful.

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

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    Achim, Andr\\'e

    2017-01-01

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

  14. KYNA analogue SZR72 modifies CFA-induced dural inflammation- regarding expression of pERK1/2 and IL-1β in the rat trigeminal ganglion.

    Science.gov (United States)

    Lukács, M; Warfvinge, K; Kruse, L S; Tajti, J; Fülöp, F; Toldi, J; Vécsei, L; Edvinsson, L

    2016-12-01

    Neurogenic inflammation has for decades been considered an important part of migraine pathophysiology. In the present study, we asked the question if administration of a novel kynurenic acid analogue (SZR72), precursor of an excitotoxin antagonist and anti-inflammatory substance, can modify the neurogenic inflammatory response in the trigeminal ganglion. Inflammation in the trigeminal ganglion was induced by local dural application of Complete Freunds Adjuvant (CFA). Levels of phosphorylated MAP kinase pERK1/2 and IL-1β expression in V1 region of the trigeminal ganglion were investigated using immunohistochemistry and Western blot. Pretreatment with one dose of SZR72 abolished the CFA-induced pERK1/2 and IL-1β activation in the trigeminal ganglion. No significant change was noted in case of repeated treatment with SZR72 as compared to a single dose. This is the first study that demonstrates that one dose of KYNA analog before application of CFA can give anti-inflammatory response in a model of trigeminal activation, opening a new line for further investigations regarding possible effects of KYNA derivates.

  15. Early, middle, or late administration of zoledronate alleviates spontaneous nociceptive behavior and restores functional outcomes in a mouse model of CFA-induced arthritis.

    Science.gov (United States)

    Morado-Urbina, Carlos Eduardo; Alvarado-Vázquez, Perla Abigail; Montiel-Ruiz, Rosa Mariana; Acosta-González, Rosa Issel; Castañeda-Corral, Gabriela; Jiménez-Andrade, Juan Miguel

    2014-11-01

    This study was performed to evaluate whether early, middle, or late treatment of zoledronate, an approved bisphosphonate that blocks bone resorption, can reduce nociceptive behaviors in a mouse arthritis model. Arthritis was produced by repeated intra-articular knee injections of complete Freund's adjuvant (CFA). A dose-response curve with zoledronate (3, 30, 100, and 300 μg/kg, i.p., day 4 to day 25, twice weekly for 3 weeks) was performed, and the most effective dose of zoledronate (100 μg/kg, i.p.) was initially administered at different times of disease progression: day 4 (early), day 15 (middle), or day 21 (late) and continued until day 25 after the first CFA injection. Flinching of the injected extremity (spontaneous nociceptive behavior), vertical rearings and horizontal activity (functional outcomes), and knee edema were assessed. Zoledronate improved both functional outcomes and reduced flinching behavior. At day 25, the effect of zoledronate on flinching behavior and vertical rearings was greater in magnitude when it was given early or middle rather than late in the treatment regimen. Chronic zoledronate did not reduce knee edema in CFA-injected mice nor functional outcomes in naïve mice by itself. These results suggest that zoledronate may have a positive effect on arthritis-induced nociception and functional disabilities. © 2014 Wiley Periodicals, Inc.

  16. A Large Extension of the CfA Galactic CO Survey

    CERN Document Server

    Dame, T M

    2003-01-01

    The Galactic CO survey of Dame, Hartmann, & Thaddeus (2001; hereafter DHT) is composed of both large-scale unbiased surveys, mainly concentrated within 10-deg of the Galactic plane, and targeted observations of clouds at higher latitudes. Analysis of all-sky IRAS and 21 cm maps suggests that the DHT survey is nearly complete for clouds larger than ~1 deg, even though roughly half of the total area at |b| < 30 deg was not observed. In October 2001 we began a new survey of all of this unobserved area that is accessible to the northern 1.2 meter telescope, approximately 6,600 deg^2 between l = 0 deg and 230 deg, mainly in the latitude range |b| = 10-30 deg. At least 12 hours per day is being dedicated to this large project, which is sampled every 1/4-deg (every other beamwidth) to an rms sensitivity of 0.19 K at a velocity resolution of 0.65 km/s. As of May 2003, we have obtained 90,000 of the 106,000 spectra required to complete the survey. While, as expected, the new observations do not substantially ch...

  17. Analysis of the determinative factors for energy efficiency

    Directory of Open Access Journals (Sweden)

    Antonio Vanderley Herrero Sola

    2007-10-01

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

  18. Performance analysis of parallel supernodal sparse LU factorization

    Energy Technology Data Exchange (ETDEWEB)

    Grigori, Laura; Li, Xiaoye S.

    2004-02-05

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

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

    Science.gov (United States)

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

    2000-12-15

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

  20. The Finnish lapphund retinal atrophy locus maps to the centromeric region of CFA9

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    Sargan David R

    2007-07-01

    Full Text Available Abstract Background Dogs have the second largest number of genetic diseases, after humans. Among the diseases present in dogs, progressive retinal atrophy has been reported in more than a hundred breeds. In some of them, the mutation has been identified and genetic tests have allowed the identification of carriers, thus enabling a drastic reduction in the incidence of the disease. The Finnish lapphund is a dog breed presenting late-onset progressive retinal atrophy for which the disease locus remains unknown. Results In this study we mapped the progressive retinal atrophy locus in the Finnish lapphund using a DNA pooling approach, assuming that all affected dogs within the breed share the same identical-by descent-mutation as the cause of the disease (genetic homogeneity. Autosomal recessive inheritance was also assumed, after ruling out, from pedigree analysis, dominant and X-linked inheritance. DNA from 12 Finnish lapphund cases was mixed in one pool, and DNA from 12 first-degree relatives of these cases was mixed to serve as the control pool. The 2 pools were tested with 133 microsatellite markers, 3 of which showed a shift towards homozygosity in the cases. Individual genotyping with these 3 markers confirmed homozygosity for the GALK1 microsatellite only (chromosome 9. Further individual genotyping with additional samples (4 cases and 59 controls confirmed the association between this marker and the disease locus (p Conclusion The locus for progressive rod-cone degeneration is known to be close to the GALK1 locus, on the telomeric region of chromosome 9, where the retinal atrophy locus of the Finnish lapphund has been mapped. This suggests that the disease in this breed, as well as in the Swedish lapphund, may correspond to progressive rod-cone degeneration. This would increase the number of known dog breeds having this particular form of progressive retinal atrophy.

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

    Science.gov (United States)

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

    1989-01-01

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

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

    Science.gov (United States)

    Leaver, Meghan; Reader, Tom W

    2016-09-01

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

  3. Impact factors of fractal analysis of porous structure

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

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

  4. Social Support Scale (MOS-SSS: Analysis of the Psychometric Properties via Item Response Theory

    Directory of Open Access Journals (Sweden)

    Daniela Sacramento Zanini

    Full Text Available Abstract The study on social relationships that influence health, as well as the development of reliable measures to assess this construct has been highlighted in the academic literature. The aim of this study was to estimate new evidence of validity based on the internal structure and reliability of the MOS-SSS, as well as the parameters of items and participants by Item response theory. The sample consisted of 998 people (age: M = 27.18, SD = 9.90, 65.1% women from different sampling strata. Confirmatory factor analysis (CFA revealed better goodness of fit of the four-factor model when compared to factor structures shown in other Brazilian studies. The multigroup CFA demonstrated invariance of the factor model when comparing the different sampling strata. The partial credit model indicated items with mean difficulty and appropriate adjustments indices (infit/outfit and desirable reliability for the factors. The analysis of the maps indicated the tool's strengths and limitations to assess the construct.

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

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    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

  6. 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.

  7. Risk factors for progressive ischemic stroke A retrospective analysis

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

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

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

    Science.gov (United States)

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

    2014-12-14

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

  9. ANALYSIS OF FACTORS WHICH AFFECTING THE ECONOMIC GROWTH

    Directory of Open Access Journals (Sweden)

    Suparna Wijaya

    2017-03-01

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

  10. Empirical Analysis on Factors Influencing Distribution of Vegetal Production

    Institute of Scientific and Technical Information of China (English)

    Wenjie; WU

    2015-01-01

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

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

    Science.gov (United States)

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

    2017-04-25

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

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

    Institute of Scientific and Technical Information of China (English)

    TIAN Tian

    2013-01-01

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

  13. Analysis on some factors affecting MIMO in tunnel

    Science.gov (United States)

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

    2009-07-01

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

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

    Science.gov (United States)

    Adams, James M.

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

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

    Directory of Open Access Journals (Sweden)

    V. M. Sidorov

    2016-01-01

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

  16. DSM-5 posttraumatic stress disorder: factor structure and rates of diagnosis.

    Science.gov (United States)

    Gentes, Emily L; Dennis, Paul A; Kimbrel, Nathan A; Rissling, Michelle B; Beckham, Jean C; Calhoun, Patrick S

    2014-12-01

    Posttraumatic stress disorder (PTSD) is a significant problem among Iraq/Afghanistan-era veterans. To date, however, there has been only limited research on how the recent changes in DSM-5 influence the prevalence and factor structure of PTSD. To address this key issue, the present research used a modified version of a gold-standard clinical interview to assess PTSD among a large sample of Iraq/Afghanistan-era veterans (N = 414). Thirty-seven percent of the sample met DSM-5 criteria for PTSD compared to a rate of 38% when DSM-IV diagnostic criteria were used. Differences in rates of diagnosis between DSM-IV and DSM-5 were primarily attributable to changes to Criterion A and the separation of the "avoidance" and "numbing" symptoms into separate clusters. Confirmatory factor analysis (CFA) was used to compare the fit of the previous 3-factor DSM-IV model of PTSD to the 4-factor model specified in DSM-5, a 4-factor "dysphoria" model, and a 5-factor model. CFA demonstrated that the 5-factor model (re-experiencing, active avoidance, emotional numbing, dysphoric arousal, anxious arousal) provided the best overall fit to the data, although substantial support was also found for the 4-factor DSM-5 model. Low factor loadings were noted for two of the symptoms in the DSM-5 model (psychogenic amnesia and reckless/self-destructive behavior), raising questions regarding the adequacy of fit between these symptoms and the other core features of PTSD. Overall, findings suggest the DSM-5 model of PTSD is an improvement over the previous DSM-IV model of PTSD, but still may not represent the true underlying factor structure of PTSD.

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

    Science.gov (United States)

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

    2008-01-01

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

  18. An Investigation of Psychological Factors Inluencing Investment Decision Making

    Directory of Open Access Journals (Sweden)

    Hsin Hue Chang

    2014-08-01

    Full Text Available This  study  applies  a  second-order  conirmatory  factor  analysis  (CFA  approach  to investigate  psychological  factors  inluencing  individuals'  investment  decision-making.  A second-order  CFA  approach  consists  of  ive  irst-order  psychological  factors  in  terms  of mental  accounting,  regret  avoidance,  self-control,  heuristic  and  overconidence,  and  one second-order factor in terms of investment decision-making. Quantitative data was yielded by the questionnaire, and an effective sample of 752 responses was used to execute the estimation procedure.  The  results  reveal  that  there  exist  statistically  signiicant  relationships  between ive psychological factors and investment decision-making. Investors are likely to consider a product with different functions as one with different mental accounts (gains. Thus, inancial institutions  are  advised  to  provide  their  potential  customers  with  multi-function  products. Since self-control is  a  signiicant self-imposed mechanism  for  investment decision-making, inancial institutions can merchandise products that can help their customers to execute the self-imposed rules of thumb. ";} // -->activate javascript

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

    Directory of Open Access Journals (Sweden)

    Elena Mazurova

    2017-05-01

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

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

    Directory of Open Access Journals (Sweden)

    Yue ZHANG

    2012-12-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

    Belushkin, M.

    2007-09-29

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

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

    Energy Technology Data Exchange (ETDEWEB)

    Belushkin, M.

    2007-09-29

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

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

    Science.gov (United States)

    Rouder, Jeffrey N; Morey, Richard D

    2011-08-01

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

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

    Science.gov (United States)

    Clauer, U; Schäfer, J; Roder, J

    2015-06-01

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

  5. 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.

  6. 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.

  7. Association factor analysis between osteoporosis with cerebral artery disease

    Science.gov (United States)

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

    2017-01-01

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

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

    Science.gov (United States)

    Mansour, Mansour

    2015-01-01

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

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

    Directory of Open Access Journals (Sweden)

    Anna B. Costello

    2005-07-01

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

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

    Directory of Open Access Journals (Sweden)

    A. A. Solodov

    2016-01-01

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

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

    Science.gov (United States)

    Hoseinzade, Zohre; Mokhtari, Ahmad Reza

    2017-10-01

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

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

    Science.gov (United States)

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

    1997-01-01

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

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

    Science.gov (United States)

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

    2013-01-01

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

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

    Science.gov (United States)

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

    2017-01-01

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

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

    Science.gov (United States)

    Cho, Young Ae; Kim, Jeongseon

    2015-01-01

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

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

    Science.gov (United States)

    Schönbrodt, Felix D; Wagenmakers, Eric-Jan

    2017-03-01

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

  17. 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.

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

    Science.gov (United States)

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

    2017-03-01

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

  19. Psychometric item analysis and validation of the Indonesian version of the Readiness for Interprofessional Learning Scale (RIPLS).

    Science.gov (United States)

    Tyastuti, Dwi; Onishi, Hirotaka; Ekayanti, Fika; Kitamura, Kiyoshi

    2014-09-01

    Complex health care needs in developing countries are stimulating development and implementation of interprofessional education (IPE). To better understand IPE, it is necessary to develop and evaluate an educational program that focuses on interprofessional learning (IPL) in Indonesia. However, no instrument in the Indonesian language has been developed to measure attitudes toward IPL. The aim of this study is to describe the process of a cross-cultural adaptation of the Readiness for Interprofessional Learning Scale (RIPLS) in an Indonesian version including determining its reliability and validity. The study was conducted among students enrolled in medical, nursing, pharmacy and public health courses at the State Islamic University, Jakarta, Indonesia, in 2012. The completed responses to RIPLS were collected from 755 students. The psychometric properties were analyzed by both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). EFA on 18-items revealed three factors accounting for 59.9% of the total variance. CFA resulted in a three-factor model over 16 items with satisfactory reliability (alpha coefficients >0.7), construct validity and acceptable indices of goodness of fit. We conclude that this Indonesian version of RIPLS with a three-factor model over 16 items is a valid tool to measure students' attitudes toward IPL.

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

    Energy Technology Data Exchange (ETDEWEB)

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

    2012-05-15

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

  1. 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.

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

    Science.gov (United States)

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

    2012-05-01

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

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

    Science.gov (United States)

    Gosk, Jerzy; Rutowski, Roman

    2005-04-01

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

  4. 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.

  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. 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.

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

    Science.gov (United States)

    Taasoobshirazi, Gita; Bailey, MarLynn; Farley, John

    2015-11-01

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

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

    Institute of Scientific and Technical Information of China (English)

    Wang Lanhui; Cai Fei

    2003-01-01

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

  9. 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.

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

    Science.gov (United States)

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

    2017-03-01

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

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

    Science.gov (United States)

    Karteroliotis, Konstantinos; Papadimitriou, Dimitra

    2004-08-01

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

  12. 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.

  13. 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

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

    Science.gov (United States)

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

    2014-03-01

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

  15. Deconvolution-based resolution enhancement of chemical ice core records obtained by continuous flow analysis

    DEFF Research Database (Denmark)

    Rasmussen, Sune Olander; Andersen, Katrine K.; Johnsen, Sigfus Johann

    2005-01-01

    Continuous flow analysis (CFA) has become a popular measuring technique for obtaining high-resolution chemical ice core records due to an attractive combination of measuring speed and resolution. However, when analyzing the deeper sections of ice cores or cores from low-accumulation areas......, there is still need for further improvement of the resolution. Here a method for resolution enhancement of CFA data is presented. It is demonstrated that it is possible to improve the resolution of CFA data by restoring some of the detail that was lost in the measuring process, thus improving the usefulness...

  16. 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.

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

    Institute of Scientific and Technical Information of China (English)

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

    2012-01-01

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

  18. 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.

  19. The FIRO model of family therapy: implications of factor analysis.

    Science.gov (United States)

    Hafner, R J; Ross, M W

    1989-11-01

    Schutz's FIRO model contains three main elements: inclusion, control, and affection. It is used widely in mental health research and practice, but has received little empirical validation. The present study is based on factor analysis of the resources to FIRO questionnaire of 120 normal couples and 191 couples who were attending a clinic for marital/psychiatric problems. Results confirmed the validity of the FIRO model for women only. The differences between the sexes reflected a considerable degree of sex-role stereotyping, the clinical implications of which are discussed.

  20. Critical Analysis of Factors Contributing to the Formation of Interlanguage

    Institute of Scientific and Technical Information of China (English)

    赵栩

    2015-01-01

    Interlanguage is a common phenomenon in foreign language learning process.It refers to the language system which is formed in a certain period in learners' second language or foreign language learning process.In the past,behaviorist learning theory and mentalist learning theory has dominated language learning for a long period of time,but both of them have some deficiencies.This paper is to make a critical analysis on the factors contributing to the formation of interlanguage,which reflects the practical importance of interlanguage to language teaching and learning.

  1. Critical Analysis of Factors Contributing to the Formation of Interlanguage

    Institute of Scientific and Technical Information of China (English)

    赵栩

    2015-01-01

    Interlanguage is a common phenomenon in foreign language learning process.It refers to the language system which is formed in a certain period in learners’ second language or foreign language learning process.In the past,behaviorist learning theory and mentalist learning theory has dominated language learning for a long period of time,but both of them have some deficiencies.This paper is to make a critical analysis on the factors contributing to the formation of interlanguage,which reflects the practical importance of interlanguage to language teaching and learning.

  2. Factor analysis of the Caregiver Quality of Life Index-Cancer (CQOLC scale for Chinese cancer caregivers: a preliminary reliability and validity study of the CQOLC-Chinese version.

    Directory of Open Access Journals (Sweden)

    Jiaobo Duan

    Full Text Available The English version of the Caregiver Quality of Life Index-Cancer (CQOLC was translated into simplified Chinese (CQOLC-C, following cultural translation, back-translation and pretest steps. Three hundred and sixty one cancer caregivers participated in this study. Cronbach's alpha was used to assess CQOLC-C reliability. Exploratory factor analyses (EFA was used to generate two models of the measure's factor structure, and confirmatory factor analyses (CFA were used to test each model, such that the best model to explain the latent structure of the CQOLC-C was identified. EFA using different factor extraction methods yielded two models including four and eight factors. According to the CFA results, model 2 was better fit for the original study data, based on the RMSEA criterion [0.058(90% CI = 0.051-0.065], χ2 (531 = 853.92, p < 0.0001; CFI (0.96, NNFI (0.96, IFI (0.97, and NFI (0.92. We also examined the effect of removing three items on the CQOLC-C factor structure and discuss the resulting differences from other versions. These results indicate that the CQOLC-C's factor structure does not fully fit the original theorized model. This study provides preliminary support for further use of the CQOLC-C. However, the present work provides only partial support for the relevance and construct validity of the scale for Chinese caregivers.

  3. 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

  4. 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.

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

    Directory of Open Access Journals (Sweden)

    Elis Ratna Wulan

    2015-04-01

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

  6. [Confirmatory factor analysis of the short French version of the Center for Epidemiological Studies of Depression Scale (CES-D10) in adolescents].

    Science.gov (United States)

    Cartierre, N; Coulon, N; Demerval, R

    2011-09-01

    Screening depressivity among adolescents is a key public health priority. In order to measure the severity of depressive symptomatology, a four-dimensional 20 items scale called "Center for Epidemiological Studies-Depression Scale" (CES-D) was developed. A shorter 10-item version was developed and validated (Andresen et al.). For this brief version, several authors supported a two-factor structure - Negative and Positive affect - but the relationship between the two reversed-worded items of the Positive affect factor could be better accounted for by correlated errors. The aim of this study is triple: firstly to test a French version of the CES-D10 among adolescents; secondly to test the relevance of a one-dimensional structure by considering error correlation for Positive affect items; finally to examine the extent to which this structural model is invariant across gender. The sample was composed of 269 French middle school adolescents (139 girls and 130 boys, mean age: 13.8, SD=0.65). Confirmatory Factorial Analyses (CFA) using the LISREL 8.52 were conducted in order to assess the adjustment to the data of three factor models: a one-factor model, a two-factor model (Positive and Negative affect) and a one-factor model with specification of correlated errors between the two reverse-worded items. Then, multigroup analysis was conducted to test the scale invariance for girls and boys. Internal consistency of the CES-D10 was satisfying for the adolescent sample (α=0.75). The best fitting model is the one-factor model with correlated errors between the two items of the previous Positive affect factor (χ(2)/dl=2.50; GFI=0.939; CFI=0.894; RMSEA=0.076). This model presented a better statistical fit to the data than the one-factor model without error correlation: χ(2)(diff) (1)=22.14, pfactor model with correlated errors was analyzed across separate samples of girls and boys. The model explains the data somewhat better for boys than for girls. The model's overall χ(2

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

    Science.gov (United States)

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

    2016-09-01

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

  8. Increased serum IL-6 level time-dependently regulates hyperalgesia and spinal mu opioid receptor expression during CFA-induced arthritis.

    Science.gov (United States)

    Tekieh, E; Zaringhalam, Jalal; Manaheji, H; Maghsoudi, N; Alani, B; Zardooz, H

    2011-01-01

    Interleukin (IL)-6 is known to cause pro- and anti-inflammatory effects during different stages of inflammation. Recent therapeutic investigations have focused on treatment of various inflammatory disorders with anti-cytokine substances. As a result, the aim of this study was to further elucidate the influence of IL-6 in hyperalgesia and edema during different stages of Complete Freund's Adjuvant (CFA)-induced arthritis (AA) in male Wistar rats. AA was induced by a single subcutaneous injection of CFA into the rats' hindpaw. Anti-IL-6 was administered either daily or weekly during the 21 days of study. Spinal mu opioid receptor (mOR) expression was detected by Western blotting. Daily and weekly treatment with an anti-IL-6 antibody significantly decreased paw edema in the AA group compared to the AA control group. Additionally, daily and weekly anti-IL-6 administration significantly reduced hyperalgesia on day 7 in the AA group compared to the AA control group; however, there were significant increases in hyperalgesia in the antibody-treated group on days 14 and 21 compared to the AA control group. IL-6 antibody-induced increases in hyperalgesia on the 14(th) and 21(st) days after CFA injection correlated with a time-dependent, significant reduction in spinal mOR expression during anti-IL-6 treatment. Our study confirmed the important time-dependent relationship between serum IL-6 levels and hyperalgesia during AA. These results suggest that the stages of inflammation in AA must be considered for anti-hyperalgesic and anti-inflammatory interventions via anti-IL-6 antibody treatment.

  9. Effect of Mas-related gene (Mrg) receptors on hyperalgesia in rats with CFA-induced inflammation via direct and indirect mechanisms.

    Science.gov (United States)

    Jiang, Jianping; Wang, Dongmei; Zhou, Xiaolong; Huo, Yuping; Chen, Tingjun; Hu, Fenjuan; Quirion, Rémi; Hong, Yanguo

    2013-11-01

    Mas oncogene-related gene (Mrg) receptors are exclusively distributed in small-sized neurons in trigeminal and dorsal root ganglia (DRG). We investigated the effects of MrgC receptor activation on inflammatory hyperalgesia and its mechanisms. A selective MrgC receptor agonist, bovine adrenal medulla peptide 8-22 (BAM8-22) or melanocyte-stimulating hormone (MSH) or the μ-opioid receptor (MOR) antagonist CTAP was administered intrathecally (i.t.) in rats injected with complete Freund's adjuvant (CFA) in one hindpaw. Thermal and mechanical nociceptive responses were assessed. Neurochemicals were measured by immunocytochemistry, Western blot, ELISA and RT-PCR. CFA injection increased mRNA for MrgC receptors in lumbar DRG. BAM8-22 or MSH, given i.t., generated instant short and delayed long-lasting attenuations of CFA-induced thermal hyperalgesia, but not mechanical allodynia. These effects were associated with decreased up-regulation of neuronal NOS (nNOS), CGRP and c-Fos expression in the spinal dorsal horn and/or DRG. However, i.t. administration of CTAP blocked the induction by BAM8-22 of delayed anti-hyperalgesia and inhibition of nNOS and CGRP expression in DRG. BAM8-22 also increased mRNA for MORs and pro-opiomelanocortin, along with β-endorphin content in the lumbar spinal cord and/or DRG. MrgC receptors and nNOS were co-localized in DRG neurons. Activation of MrgC receptors suppressed up-regulation of pronociceptive mediators and consequently inhibited inflammatory pain, because of the activation of up-regulated MrgC receptors and subsequent endogenous activity at MORs. The uniquely distributed MrgC receptors could be a novel target for relieving inflammatory pain. © 2013 The British Pharmacological Society.

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

    Science.gov (United States)

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

    2014-02-01

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

  11. 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…

  12. Analysis of transfer reactions: determination of spectroscopic factors

    Energy Technology Data Exchange (ETDEWEB)

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

    2007-07-01

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

  13. 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…

  14. Confirmatory factor analysis of the Spanish version of the Gamblers' Beliefs Questionnaire in a sample of Argentinean gamblers

    Directory of Open Access Journals (Sweden)

    Angelina Pilatti

    2016-12-01

    Full Text Available Introduction: Cognitive distortions are related to gambling frequency and gambling severity. Having a culturally sensitive measure to assess cognitive distortions will facilitate the early detection of people who might be at risk of developing problematic gambling behaviors. The Gamblers' Beliefs Questionnaire was translated into Spanish (GBQ-S but no previous study explored the structure of the GBQ-S in a non-US sample with different levels of gambling involvement. Aim: The present study examined the factor structure of the GBQ-S in a community sample of gamblers from Argentina. It also analyzed the association between cognitive distortions and type of gambling activity and frequency of gambling behaviors and the predictive utility of the GBQ-S on gambling severity. Participants: 508 youth and adults completed the GBQ-S. Results: The CFA showed an overall acceptable fit to the data confirming the proposed two-factor model. Scores of the two GBQ sub-scales were positively and significantly correlated with scores on gambling severity. Cognitive distortions have a significant effect on gambling severity after controlling for frequency of engagement in gambling activities. Luck and perseverance, but not illusion of control, was positively related to gambling severity. Discussion: scores measured by the GBQ-S exhibit adequate psychometric properties for the accurate assessment of cognitive distortions across adults and youth from the general community of Argentina.

  15. [Analysis of predisposing factors for pancreatic fistula after pancreaticoduodenectomy].

    Science.gov (United States)

    Chen, You-yi; Sun, Bei; Jiang, Hong-chi

    2013-08-01

    To analyze the predisposing factors for pancreatic fistula after pancreaticoduodenectomy. The clinical data of 323 patients undergoing pancreaticoduodenectomy from January 2007 to March 2012 were analyzed retrospectively. There were 185 male and 138 female patients, aging from 27 to 82 years. All the patients were devided into pancreatic fistula group (n = 52) and non-pancreatic fistula group (n = 271). Twenty variables, such as age, sex, primary disease, alcohol abuse, cholangitis, bilirubin, albumin, hemoglobin, operating time, blood loss, transfusion, texture of the remnant pancreas, diameter of wirsung, drainages of pancreatic duct, specialized group which potentially affect the incidence, were analyzed by t test for continuous variables and χ(2) test for discrete variables. The variables with significance (P fistula rate was 16.1% (52/323), 7 patients died for pancreatic fistula PF. In univariate analysis, primary disease, preoperative high bilirubin level, intraoperative blood loss and transfusion, texture of the remnant pancreas, diameter of wirsung, drainages of pancreatic duct, specialized group had significant difference between two groups (χ(2) = 4.072 to 9.008, P analysis revealed that primary disease (OR = 2.091, P = 0.001), texture of the remnant pancreas (OR = 7.715, P = 0.040), diameter of wirsung (OR = 5.405, P = 0.006), pancreatic duct stent (OR = 4.313, P = 0.001) and specialized group (OR = 6.404, P = 0.006) were independent risk factors in pancreatic fistula. Primary disease, texture of the remnant pancreas, diameter of wirsung, pancreatic duct stent and specialized group are independent risk factors in pancreatic fistula. With the purpose of decreasing pancreatic fistula rate after PD, it is necessary to operate meticulously and precisely, place external pancreatic duct stent and establish pancreatic center or specialized group.

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

    Directory of Open Access Journals (Sweden)

    H Kamani

    2016-03-01

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

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

    Institute of Scientific and Technical Information of China (English)

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

    2000-01-01

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

  18. Factor Structure of the Norwegian Version of the WAIS-III in a Clinical Sample: The Arithmetic Problem

    Science.gov (United States)

    Egeland, Jens; Bosnes, Ole; Johansen, Hans

    2009-01-01

    Confirmatory Factor Analyses (CFA) of the Wechsler Adult Intelligence Scale-III (WAIS-III) lend partial support to the four-factor model proposed in the test manual. However, the Arithmetic subtest has been especially difficult to allocate to one factor. Using the new Norwegian WAIS-III version, we tested factor models differing in the number of…

  19. Analysis of Entrepreneurship barriers in Moravia-Silesian Region by VRIO and Factor analysis application

    OpenAIRE

    Šebestová, Jarmila

    2007-01-01

    The small and medium sized entrepreneurship is often considered to be as a phenomenon of our times. Why many authors dedicated their work on this field? The main reason is that SME make influence on society life and contribute to economic development of the region, where they establish their business. The same situation is in Moravia-Silesian region, where the fac-tor analysis being applied. VRIO and Porter's analysis were used to interpret clearly research findings.

  20. Factor structure of the Behavior Rating Inventory of Executive Functions (BRIEF-P) at age three years.

    Science.gov (United States)

    Skogan, Annette Holth; Egeland, Jens; Zeiner, Pål; Øvergaard, Kristin Romvig; Oerbeck, Beate; Reichborn-Kjennerud, Ted; Aase, Heidi

    2016-01-01

    The preschool period is an important developmental period for the emergence of cognitive self-regulatory skills or executive functions (EF). To date, evidence regarding the structure of EF in preschool children has supported both unitary and multicomponent models. The aim of the present study was to test the factor structure of early EF as measured by the Behavior Rating Inventory of Executive Function-Preschool version (BRIEF-P). BRIEF-P consists of five subscales and three broader indexes, hypothesized to tap into different subcomponents of EF. Parent ratings of EF from a nonreferred sample of children recruited from the Norwegian Mother and Child Cohort Study (N = 1134; age range 37-47 months) were subjected to confirmatory factor analyses (CFA). Three theoretically derived models were assessed; the second-order three-factor model originally proposed by the BRIEF-P authors, a "true" first-order one-factor model and a second-order one-factor model. CFA fit statistics supported the original three-factor solution. However, the difference in fit was marginal between this model and the second-order one-factor model. A follow-up exploratory factor analysis (EFA) supported the existence of several factors underlying EF in early preschool years, with a considerable overlap with the five BRIEF-P subscales. Our results suggest that some differentiation in EF has taken place at age 3 years, which is reflected in behavior ratings. The internal consistency of the BRIEF-P five clinical subscales is supported. Subscale interrelations may, however, differ at this age from those observed in the preschool group as a whole.

  1. 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

  2. Dispersive analysis of the scalar form factor of the nucleon

    CERN Document Server

    Hoferichter, M; Kubis, B; Meißner, U -G

    2012-01-01

    Based on the recently proposed Roy-Steiner equations for pion-nucleon scattering, we derive a system of coupled integral equations for the pi pi --> N-bar N and K-bar K --> N-bar N S-waves. These equations take the form of a two-channel Muskhelishvili-Omnes problem, whose solution in the presence of a finite matching point is discussed. We use these results to update the dispersive analysis of the scalar form factor of the nucleon fully including K-bar K intermediate states. In particular, we determine the correction Delta_sigma=sigma(2M_pi^2)-sigma_{pi N}, which is needed for the extraction of the pion-nucleon sigma term from pi N scattering, as a function of pion-nucleon subthreshold parameters and the pi N coupling constant.

  3. Theory of sampling: four critical success factors before analysis.

    Science.gov (United States)

    Wagner, Claas; Esbensen, Kim H

    2015-01-01

    Food and feed materials characterization, risk assessment, and safety evaluations can only be ensured if QC measures are based on valid analytical data, stemming from representative samples. The Theory of Sampling (TOS) is the only comprehensive theoretical framework that fully defines all requirements to ensure sampling correctness and representativity, and to provide the guiding principles for sampling in practice. TOS also defines the concept of material heterogeneity and its impact on the sampling process, including the effects from all potential sampling errors. TOS's primary task is to eliminate bias-generating errors and to minimize sampling variability. Quantitative measures are provided to characterize material heterogeneity, on which an optimal sampling strategy should be based. Four critical success factors preceding analysis to ensure a representative sampling process are presented here.

  4. 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.

  5. Statistical Analysis of Factors Affecting Child Mortality in Pakistan.

    Science.gov (United States)

    Ahmed, Zoya; Kamal, Asifa; Kamal, Asma

    2016-06-01

    Child mortality is a composite indicator reflecting economic, social, environmental, healthcare services, and their delivery situation in a country. Globally, Pakistan has the third highest burden of fetal, maternal, and child mortality. Factors affecting child mortality in Pakistan are investigated by using Binary Logistic Regression Analysis. Region, education of mother, birth order, preceding birth interval (the period between the previous child birth and the index child birth), size of child at birth, and breastfeeding and family size were found to be significantly important with child mortality in Pakistan. Child mortality decreased as level of mother's education, preceding birth interval, size of child at birth, and family size increased. Child mortality was found to be significantly higher in Balochistan as compared to other regions. Child mortality was low for low birth orders. Child survival was significantly higher for children who were breastfed as compared to those who were not.

  6. Accelerated Gibbs Sampling for Infinite Sparse Factor Analysis

    Energy Technology Data Exchange (ETDEWEB)

    Andrzejewski, D M

    2011-09-12

    The Indian Buffet Process (IBP) gives a probabilistic model of sparse binary matrices with an unbounded number of columns. This construct can be used, for example, to model a fixed numer of observed data points (rows) associated with an unknown number of latent features (columns). Markov Chain Monte Carlo (MCMC) methods are often used for IBP inference, and in this technical note, we provide a detailed review of the derivations of collapsed and accelerated Gibbs samplers for the linear-Gaussian infinite latent feature model. We also discuss and explain update equations for hyperparameter resampling in a 'full Bayesian' treatment and present a novel slice sampler capable of extending the accelerated Gibbs sampler to the case of infinite sparse factor analysis by allowing the use of real-valued latent features.

  7. [Rhabdomyolysis in a Bipolar Adolescent. Analysis of Associated Factors].

    Science.gov (United States)

    Restrepo, Diana; Montoya, Pablo; Giraldo, Laura; Gaviria, Génesis; Mejía, Catalina

    2015-01-01

    To describe a case of rhabdomyolysis associated with the use of quetiapine and lamotrigine in an adolescent treated for bipolar disorder. Description of the clinical case, analysis of the associated factors and a non-systematic review of the relevant literature. An 18 year old male, with bipolar disorder and treated pharmacologically with quetiapine and lamotrigine, after two weeks of physical activity presents with rhabdomyolysis. Quetiapine and exercise have been associated with rhabdomyolysis. The mediator mechanism of this association has not been found, although it has been established that there is neuromuscular dysfunction and an increase in sarcomere permeability. This clinical case allowed the complex interaction between antipsychotic agents and increased physical activity to be observed in a psychiatric adolescent patient, as well as the appearance of a potentially lethal medical complication. Copyright © 2014 Asociación Colombiana de Psiquiatría. Publicado por Elsevier España. All rights reserved.

  8. [Cephalometric standards of adult Greeks (Ricketts' ten factor analysis)].

    Science.gov (United States)

    Kavadia, S; Topouzelis, N; Sidiropoulou, S; Markovitsi, H; Kolokythas, G

    1989-09-01

    In this study the ten factors which compose the Ricketts' summary analysis were measured on 81 lateral skull radiographs of adult Greeks (41 males and 40 females) with normal occlusion and harmonious face to establish cephalometric standards. The mean value, standard deviation, standard error of the mean, minimum and maximum values as well as the range of each variable were found and discussed for each sex separately as well as for the whole sample. The main conclusion of the study is that adult Greeks with normal occlusion and harmonious face present: a tendency to the brachy facial vertical type, a small retroposition of the maxilla and of the lower lip and prominent and labialy proclined lower incisors.

  9. Expression analysis of TALE family transcription factors during avian development.

    Science.gov (United States)

    Coy, Sarah E; Borycki, Anne-Gaëlle

    2010-04-01

    The TALE family of homeodomain containing transcription factors consists of the Meis, Prep and Tgif, and the Pbx subfamily of proteins. Several TALE orthologues have been identified in amniotes, but no comprehensive analysis of their expression pattern during embryogenesis has been performed. Here, we report on TALE gene expression in the avian embryo. During embryonic development, Pbx genes are predominantly expressed in the neural ectoderm and paraxial mesoderm, although Pbx3 is restricted to the intermediate and lateral mesoderm, and anterior central nervous system. Members of the Meis, Prep, and Tgif subfamilies are expressed at high levels in the paraxial mesoderm, and display differential expression along the anterior-posterior and dorsoventral axes of the developing neural tube. Overall the expression patterns reported in this study are consistent with the known function of the TALE gene family in controlling early patterning of limb, neural tube and paraxial mesoderm tissues during embryogenesis.

  10. Physics Metacognition Inventory Part Ii: Confirmatory Factor Analysis and Rasch Analysis

    Science.gov (United States)

    Taasoobshirazi, Gita; Bailey, MarLynn; Farley, John

    2015-01-01

    The Physics Metacognition Inventory was developed to measure physics students' metacognition for problem solving. In one of our earlier studies, an exploratory factor analysis provided evidence of preliminary construct validity, revealing six components of students' metacognition when solving physics problems including knowledge of cognition,…

  11. 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,…

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

    Science.gov (United States)

    Kuo, Yi-Ming; Chang, Fi-John

    2010-01-01

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

  13. Electroacupuncture Attenuates CFA-induced Inflammatory Pain by suppressing Nav1.8 through S100B, TRPV1, Opioid, and Adenosine Pathways in Mice

    Science.gov (United States)

    Liao, Hsien-Yin; Hsieh, Ching-Liang; Huang, Chun-Ping; Lin, Yi-Wen

    2017-01-01

    Pain is associated with several conditions, such as inflammation, that result from altered peripheral nerve properties. Electroacupuncture (EA) is a common Chinese clinical medical technology used for pain management. Using an inflammatory pain mouse model, we investigated the effects of EA on the regulation of neurons, microglia, and related molecules. Complete Freund’s adjuvant (CFA) injections produced a significant mechanical and thermal hyperalgesia that was reversed by EA or a transient receptor potential V1 (TRPV1) gene deletion. The expression of the astrocytic marker glial fibrillary acidic protein (GFAP), the microglial marker Iba-1, S100B, receptor for advanced glycation end-products (RAGE), TRPV1, and other related molecules was dramatically increased in the dorsal root ganglion (DRG) and spinal cord dorsal horn (SCDH) of CFA-treated mice. This effect was reversed by EA and TRPV1 gene deletion. In addition, endomorphin (EM) and N6-cyclopentyladenosine (CPA) administration reliably reduced mechanical and thermal hyperalgesia, thereby suggesting the involvement of opioid and adenosine receptors. Furthermore, blocking of opioid and adenosine A1 receptors reversed the analgesic effects of EA. Our study illustrates the substantial therapeutic effects of EA against inflammatory pain and provides a novel and detailed mechanism underlying EA-mediated analgesia via neuronal and non-neuronal pathways. PMID:28211895

  14. Electroacupuncture Attenuates CFA-induced Inflammatory Pain by suppressing Nav1.8 through S100B, TRPV1, Opioid, and Adenosine Pathways in Mice.

    Science.gov (United States)

    Liao, Hsien-Yin; Hsieh, Ching-Liang; Huang, Chun-Ping; Lin, Yi-Wen

    2017-02-13

    Pain is associated with several conditions, such as inflammation, that result from altered peripheral nerve properties. Electroacupuncture (EA) is a common Chinese clinical medical technology used for pain management. Using an inflammatory pain mouse model, we investigated the effects of EA on the regulation of neurons, microglia, and related molecules. Complete Freund's adjuvant (CFA) injections produced a significant mechanical and thermal hyperalgesia that was reversed by EA or a transient receptor potential V1 (TRPV1) gene deletion. The expression of the astrocytic marker glial fibrillary acidic protein (GFAP), the microglial marker Iba-1, S100B, receptor for advanced glycation end-products (RAGE), TRPV1, and other related molecules was dramatically increased in the dorsal root ganglion (DRG) and spinal cord dorsal horn (SCDH) of CFA-treated mice. This effect was reversed by EA and TRPV1 gene deletion. In addition, endomorphin (EM) and N(6)-cyclopentyladenosine (CPA) administration reliably reduced mechanical and thermal hyperalgesia, thereby suggesting the involvement of opioid and adenosine receptors. Furthermore, blocking of opioid and adenosine A1 receptors reversed the analgesic effects of EA. Our study illustrates the substantial therapeutic effects of EA against inflammatory pain and provides a novel and detailed mechanism underlying EA-mediated analgesia via neuronal and non-neuronal pathways.

  15. Neuropeptide Y receptor-expressing dorsal horn neurons: role in nocifensive reflex and operant responses to aversive cold after CFA inflammation.

    Science.gov (United States)

    Lemons, L L; Wiley, R G

    2012-08-02

    The spinal Neuropeptide Y (NPY) system is a potential target for development of new pain therapeutics. NPY and two of its receptors (Y1 and Y2) are found in the superficial dorsal horn of the spinal cord, a key area of nociceptive gating and modulation. Lumbar intrathecal injection of (NPY) is antinociceptive, reducing hyper-reflexia to thermal and mechanical stimulation, particularly after nerve injury and inflammation. We have also shown that intrathecal injection of the targeted cytotoxin, Neuropeptide Y-sap (NPY-sap), is also antinociceptive, reducing nocifensive reflex responses to noxious heat and formalin. In the present study, we sought to determine the role of dorsal horn Y1R-expressing neurons in pain by destroying them with NPY-sap and testing the rats on three operant tasks. Lumbar intrathecal NPY-sap (1) reduced Complete Freund's Adjuvant (CFA)-induced hyper-reflexia on the 10°C cold plate, (2) reduced cold aversion on the thermal preference and escape tasks, (3) was analgesic to noxious heat on the escape task, (4) reduced the CFA-induced allodynia to cold temperatures experienced on the thermal preference, feeding interference, and escape tasks, and (5) did not inhibit or interfere with morphine analgesia. Published by Elsevier Ltd.

  16. Factor structure of health and oral health-related behaviors among adolescents in Arusha, northern Tanzania.

    Science.gov (United States)

    Astrøm, Anne Nordrehaug; Mbawalla, Hawa

    2011-09-01

    This study aimed to evaluate the factor structure of health and oral health-related behaviors and it's invariance across gender and to identify factors associated with behavioral patterns. A cross-sectional study included 2412 students attending 20 secondary schools in Arusha. Self-administered questionnaires were completed at school. Principal component analysis of seven single health and oral health-related behaviors (tooth brushing, hand wash after latrine, hand wash before eating, using soap, intake of sugared mineral water, intake of fast foods and intake of sweets) suggested two factors labeled hygiene behavior and snacking. Confirmatory factor analyses, CFA, provided acceptable fit for the hypothesized two-factor model; CFI = 0.97. Multiple group CFA across gender showed no statistically significant difference in fit between unconstrained and constrained models (p = 0.203). Logistic regression revealed ORs for hygiene behaviors of 1.5, 0.5, 1.5, 1.5 and 0.6 if being a girl, current smoker, reporting good relationship with school, access to hygiene facilities and bad life satisfaction, respectively. ORs for snacking were 1.3, 1.4, 0.4 and 0.5 if female, in the least poor household quartile, low family socio-economic status and high perceived control, respectively. The two factors suggest that behaviors within each might be approached jointly in health promoting programs. A positive relationship with school and access to hygiene facilities might play a role in health promotion. Provision of healthy snacks and improved perceived behavioral control regarding sugar avoidance might restrict snacking during school hours.

  17. 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,…

  18. 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.

  19. Weightlifter Lumbar Physiology Health Influence Factor Analysis of Sports Medicine.

    Science.gov (United States)

    Zhang, Xiangyang

    2015-01-01

    Chinese women's weightlifting project has been in the advanced world level, suggests that the Chinese coaches and athletes have many successful experience in the weight lifting training. Little weight lifting belongs to high-risk sports, however, to the lumbar spine injury, some young good athletes often due to lumbar trauma had to retire, and the national investment and athletes toil is regret things. This article from the perspective of sports medicine, weightlifting athletes training situation analysis and put forward Suggestions, aimed at avoiding lumbar injury, guarantee the health of athletes. In this paper, first of all to 50 professional women's weightlifting athletes doing investigation, found that 82% of the athletes suffer from lumbar disease symptoms, the reason is mainly composed of lumbar strain, intensity is too large, motion error caused by three factors. From the Angle of sports medicine and combined with the characteristics of the structure of human body skeleton athletes lumbar structural mechanics analysis, find out the lumbar force's two biggest technical movement, study, and regulate the action standard, so as to minimize lumbar force, for athletes to contribute to the health of the lumbar spine.

  20. Efficiency limit factor analysis for the Francis-99 hydraulic turbine

    Science.gov (United States)

    Zeng, Y.; Zhang, L. X.; Guo, J. P.; Guo, Y. K.; Pan, Q. L.; Qian, J.

    2017-01-01

    The energy loss in hydraulic turbine is the most direct factor that affects the efficiency of the hydraulic turbine. Based on the analysis theory of inner energy loss of hydraulic turbine, combining the measurement data of the Francis-99, this paper calculates characteristic parameters of inner energy loss of the hydraulic turbine, and establishes the calculation model of the hydraulic turbine power. Taken the start-up test conditions given by Francis-99 as case, characteristics of the inner energy of the hydraulic turbine in transient and transformation law are researched. Further, analyzing mechanical friction in hydraulic turbine, we think that main ingredients of mechanical friction loss is the rotation friction loss between rotating runner and water body, and defined as the inner mechanical friction loss. The calculation method of the inner mechanical friction loss is given roughly. Our purpose is that explore and research the method and way increasing transformation efficiency of water flow by means of analysis energy losses in hydraulic turbine.