There is limited research on the relationship between trauma exposure, depression, and suicidality, particularly in high-risk primary care samples. The present study aims to: 1) characterize the prevalence of suicidality, depression, and trauma exposure in this sample; 2)develop and test models of the relationships between suicidality, depression, and trauma exposure in this sample; 3) augment the selected model with key protective factors, including social support and religiosity; and 4) further elaborate the nature of religiosity as a potential protective factor using the subscales of the Attitudes toward God scale, Anger toward God and Comfort with God. Patients (n=207) in a safety net primary care clinic waiting room completed measures assessing childhood and adult trauma, depression, and suicidal ideation. Approximately half of patients in this sample report having experienced at least four traumatic events, 82.13% of individuals were in the clinical range for depression, and nearly half of the sample endorsed some level of suicidality. In the first model, trauma exposure moderated the relationship between depression and in the second model, suicidality and depression mediated the relationship between trauma exposure and suicidality. Both models were then augmented with social support, religiosity, Anger toward God, and Comfort with God. All moderated moderational and moderated mediational models were nonsignificant, though certain paths were found to be significant. Social support had some protective effects, but all three aspects of religiosity exacerbated the models tested, in contrast to existing literature. These findings may be used to encourage more extensive and nuanced assessment for suicidality.

Made available in DSpace on 2015-03-26T13:35:17Z (GMT). No. of bitstreams: 1 texto completo.pdf: 1285375 bytes, checksum: 680d8058ac46b55b4e9e7e37f9fd0e1f (MD5) Previous issue date: 2012-02-16 / Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / In this thesis, we define and analyze certain surface and volumetric properties of the aggregates generated by three one-dimensional competing thin films deposition models (all with kinetics of surface in universality class KPZ). These models represent a competition between ballistic deposition pattern and another rule dependent on the deposition model. Each of these new rules introduced in two of the three models are related to the kinetic energy of incident particles. An interesting feature of two of our models is the existence of the restructuring of the particles that were already linked in the aggregate, these processes depend on the speed of the incident particles. We show that our models exhibit the same scaling behavior observed in other competitive models. We study in the models, the variation of surface and volumetric properties in terms of a parameter F, where F is the ratio between the amount of particles that obey the ballistic deposition rule and the total amount of particles deposited. Finally, we list some properties and volumetric surface and use a scaling law to characterize the pore morphology of the aggregates generated by our three models as a function of a specific length scale. / Nesse trabalho, definimos e analisamos algumas propriedades superficiais e volumétricas dos agregados gerados através de três modelos competitivos unidimensionais de deposição de filmes finos (todos com cinética de superfície na classe de universalidade KPZ). Tais modelos representam uma competição entre a deposição balística padrão e uma outra regra de deposição dependente do modelo. Cada uma dessas novas regras que introduzimos em dois dos três modelos estão relacionadas com a energia cinética das partículas incidentes. Uma característica interessante de dois dos nossos modelos é a existência de processos de reestruturação das partículas que já estavam ligadas no depósito; tais processos dependem da velocidade das partículas incidentes. Mostramos que os nossos modelos exibem o mesmo comportamento de escala observado em outros modelos competitivos. Estudamos, em cada um dos modelos, a variação das propriedades superficiais e volumétricas em função de um parâmetro F, em que F é a razão entre a quantidade de partículas que obedecem a regra de deposição balística padrão e a quantidade total de partículas depositadas. Por fim, relacionamos algumas propriedades superficiais e volumétricas e usamos uma lei de escala para caracterizar a morfologia dos poros dos agregados gerados pelos nossos três modelos como função de um comprimento de escala específico.

yes / Thomas S. Kuhn is famous both for his work on the Copernican Revolution and his ‘paradigm’ view of scientific revolutions. But Kuhn later abandoned the notion of paradigm (and related notions) in favour of a more ‘evolutionary’ view of the history of science. Kuhn’s position therefore moved closer to ‘continuity’ models of scientific progress, for instance ‘chain-of-reasoning’ models, originally championed by D. Shapere. The purpose of this paper is to contribute to the debate around Kuhn’s new ‘developmental’ view and to evaluate these competing models with reference to some major innovations in the history of cosmology, from Copernicanism to modern cosmology. This evaluation is made possible through some unexpected overlap between Kuhn’s earlier discontinuity model and various versions of the later continuity models. It is the thesis of this paper that the ‘chain-of-reasoning’ model accounts better for the cosmological evidence than both Kuhn’s early paradigm model and his later developmental view of the history of science.

本研究旨在編製「知識創新學習環境量表」，以瞭解學習環境中知識創新氛圍的程度。透過三個獨立樣本A、B及C，分別進行探索性因素分析、驗證性因素分析及複核效化分析。樣本A（332人）以探索性因素分析獲得因素成份，結果顯示此份量表有三個因素，分別命名為「想法因素」、「自主學習者因素」及「社群因素」。其次，透過建立本量表的一系列競爭模式，以樣本B（536人）進行驗證性因素分析之評鑑，結果顯示二階單因素模式為最簡效模式，並且量表具有良好之信、效度。而樣本C（536人）則作為複核效化之分析，結果顯示二階單因素模式具有穩定性與預測力。希冀本量表能提供相關單位做為教學及研究之應用。 / The purpose of this study was to develop the Knowledge Building Environment Scale (KBES). Three independent samples was used to validte the reliability and validity of the scale. Firstly, sample A (n=332) was used to generate the factors through exploratory factor analysis. It resulted in a scale of three factors which contains ‘idea’ factor, ‘agent’ factor and ‘community’ factor. Secondly, a series of competing models was established and evaluated by confirmatory factor analysis through sample B (n=536). Comparing with several competing models, hierarchical model was found to be the most efficient model with good reliability and validity. Finally, the cross-validation was tested by sample C (n=536) for hierarchical model to confirm the stability and predictive power of this model. The KBES can provide relevant institutions as a tool for evaluating learning environments.