Validação da termografia no diagnóstico de lesões por esforços repetitivos/distúrbios osteomusculares relacionados ao trabalho

As Lesões por Esforços Repetitivos e Doenças Osteomusculares Relacionadas ao Trabalho estão caracterizadas por queixas de grande incapacidade funcional, causadas pelo uso dos membros superiores em tarefas que envolvam movimentos repetitivos. Esses distúrbios também podem ocorrer nas atividades de lazer ou no cotidiano das pessoas, especialmente quando realizadas por períodos longos, sem pausas adequadas para recuperação muscular, ou ainda, sem devido acompanhamento médico. A avaliação de doenças ocupacionais é eminentemente clínica. São raros os casos em que os exames complementares apóiam o diagnóstico médico. Diante disso, o objetivo desta pesquisa foi verificar a eficácia da técnica de Termografia no diagnóstico de LER/DORT. A amostra (n=51) foi dividida em dois grupos. Um grupo experimental (n=41) composto por 26 Taquigrafas da Assembléia Legislativa do Rio Grande do Sul e 15 digitadores da Companhia Estadual de Energia Elétrica do Rio Grande do Sul e um grupo controle (n=10) composto por participantes com outras profissões. Todos eles estavam de acordo com o que prescreve a resolução 196/96 do Conselho Nacional de Saúde. Os resultados do teste Q de Cochran mostraram diferenças estatisticamente significativas entre os 3 observadores da Termografia nas regiões dos punhos, cotovelos e ombros para o teste. Os coeficientes de concordância Kappa de cada observador no teste e reteste foram elevados. O coeficiente de concordância Kappa entre os observadores no teste mostraram que os 3 observadores estavam seguros para diagnosticar punho direito e cotovelos. Tais resultados mostram que a Termografia foi mais sensível e específica que a Ecografia e o Exame Clínico nos punhos direito e esquerdo. Assim, podemos inferir que os dados obtidos através das imagens termográficas permitiram uma melhor visualização das áreas traumatizadas nos componentes da amostra.

Estimation of random coefficients logit demand models: an application to the Brazilian fixed income fund market

Estimation of demand and supply in differentiated products markets is a central issue in Empirical Industrial Organization and has been used to study the effects of taxes, merges, introduction of new goods, market power, among others. Logit and Random Coefficients Logit are examples of demand models used to study these effects. For the supply side it is generally supposed a Nash equilibrium in prices. This work presents a detailed discussion of these models of demand and supply as well as the procedure for estimation. Lastly, is made an application to the Brazilian fixed income fund market.

The distribution of average and marginal effective tax rates in European Union member states

Macro-based summary indicators of effective tax burdens do not capture differences in effective tax rates facing different sub-groups of the population. They also cannot provide information on the level or distribution of the marginal effective tax rates thought to influence household behaviour. I use EUROMOD, an EU-wide tax-benefit microsimulation model, to compute distributions of average and marginal effective tax rates across the household population in fourteen European Union Member States. Using different definitions of ‘net taxes’, the tax base and the unit of analysis I present a range of measures showing the contribution of the tax-benefit system to household incomes, the average effective tax rates applicable to income from labour and marginal effective tax rates faced by working men and women. In a second step, effective tax rates are broken down to separately show the influence of each type of tax-benefit instrument. The results show that measures of effective tax rates vary considerably depending on incomes, labour market situations and family circumstances. Using single averages or macro-based indicators will therefore provide an inappropriate picture of tax burdens faced by large parts of the population.

Valuing emerging markets companies : new approaches to determine the effective exposure to country risk

The aim of this paper is to propose new methods to measure the effective exposure to country risk of emerging-market companies. Starting from Damodaran (2003), we propose seven new approaches and a revised CAPM for emerging markets companies. The “Prospective Lambda” represents the effective exposure according to analysts’ estimates of growth. The “Relative Lambda” relies on the firm value estimated through a relative valuation. The “Retrospective Lambda” represents the ex-post effective exposure to country risk. The “Company Effective Risk Premium” is a generalization of the Retrospective Lambda, and expresses the premium effectively requested by investors to invest in that specific company in the past year. “The Actual Lambda” and the “Company Actual Risk Premium” represent, respectively, the actual exposure to country risk of a company and the actual premium requested by investors to invest in that specific company. The “Industry Lambda” reflects the median exposure to country risk of the industry in which the company belongs. We tested our new measures of exposure to country risk on the Latin American emerging markets companies according to the classification of the MSCI Emerging Markets Latin America Index. The results confirm that the new approaches can be effectively applied by financial analysts to stable-growth companies that operate in emerging markets and to mature markets companies that operate in emerging markets, providing with a more reliable estimate of both the premium effectively requested by investors in the past and the actual premium. Applying the new approaches, the cost of equity reflects the effective exposure of a company to country risk without being over- or underestimated, as is the case with other existing approaches.

Motivating sustainable goal choices and providing effective feedback

Overconsumption of natural resources and the associated environmental hazards are one of today’s most pressing global issues. In the western world, individual consumption in homes and workplaces is a key contributor to this problem. Reflecting the importance of individual action in this domain, this thesis focuses on studying and influencing choices related to sustainability and energy consumption made by people in their daily lives. There are three main components to this work. Firstly, this thesis asserts that people frequently make ineffective consumption reduction goal choices and attempts to understand the rationale for these poor choices by fitting them to goalsetting theory, an established theoretical model of behavior change. Secondly, it presents two approaches that attempt to influence goal choice towards more effective targets, one of which deals with mechanisms for goal priming and the other of which explores the idea that carefully designed toys can exert influence on children’s long term consumption behavior patterns. The final section of this thesis deals with the design of feedback to support the performance of environmentally sound activities. Key contributions surrounding goals include the finding that people choose easy sustainable goals despite immediate feedback as to their ineffectiveness and the discussion and study of goal priming mechanisms that can influence this choice process. Contributions within the design of value instilling toys include a theoretically grounded framework for the design of such toys and a completed and tested prototype toy. Finally, contributions in designing effective and engaging energy consumption feedback include the finding that negative feedback is best presented verbally compared with visually and this is exemplified and presented within a working feedback system. The discussions, concepts, prototypes and empirical findings presented in this work will be useful for both environmental psychologists and for HCI researchers studying eco-feedback.

Modelagem matemática para o transporte de partículas sujeitas a múltiplos mecanismos de retenção

Discrepancies between classical model predictions and experimental data for deep bed filtration have been reported by various authors. In order to understand these discrepancies, an analytic continuum model for deep bed filtration is proposed. In this model, a filter coefficient is attributed to each distinct retention mechanism (straining, diffusion, gravity interception, etc.). It was shown that these coefficients generally cannot be merged into an effective filter coefficient, as considered in the classical model. Furthermore, the derived analytic solutions for the proposed model were applied for fitting experimental data, and a very good agreement between experimental data and proposed model predictions were obtained. Comparison of the obtained results with empirical correlations allowed identifying the dominant retention mechanisms. In addition, it was shown that the larger the ratio of particle to pore sizes, the more intensive the straining mechanism and the larger the discrepancies between experimental data and classical model predictions. The classical model and proposed model were compared via statistical analysis. The obtained p values allow concluding that the proposed model should be preferred especially when straining plays an important role. In addition, deep bed filtration with finite retention capacity was studied. This work also involves the study of filtration of particles through porous media with a finite capacity of filtration. It was observed, in this case, that is necessary to consider changes in the boundary conditions through time evolution. It was obtained a solution for such a model using different functions of filtration coefficients. Besides that, it was shown how to build a solution for any filtration coefficient. It was seen that, even considering the same filtration coefficient, the classic model and the one here propposed, show different predictions for the concentration of particles retained in the porous media and for the suspended particles at the exit of the media

Characterization and selection of Bacillus thuringiensis isolates effective against Sitophilus oryzae

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Variabilidade genética da raça Brahman no Brasil detectada por meio de análise de pedigree

O objetivo deste trabalho foi analisar a variabilidade genética da raça Brahman no Brasil, por meio da análise de 15.851 pedigrees. O arquivo de dados foi dividido em dois períodos: 1998-2001 e 2002-2005. A variabilidade genética foi avaliada por parâmetros baseados na probabilidade de origem do gene: número efetivo de ancestrais, número efetivo de fundadores, número efetivo de genomas remanescentes e coeficientes de parentesco e de endogamia. Os valores encontrados quanto ao número de fundadores mostraram que a população está em expansão, embora o número efetivo de fundadores tenha diminuído de um período para outro. Os resultados foram diferentes em relação ao número de ancestrais e genomas remanescentes, que apresentaram crescimento de 23% nos períodos avaliados. O coeficiente de endogamia diminuiu nos períodos estudados, porém o coeficiente de parentesco inter se cresceu. Poucos ancestrais apresentaram grande contribuição genética para a população, o que evidencia a utilização de poucos indivíduos na reprodução. A raça Brahman, no Brasil, encontra-se em expansão, caracterizada pela diminuição do coeficiente de endogamia e aumento nos números efetivos de fundadores e de genótipos remanescentes. Entretanto, a variabilidade genética da raça mostra aumento do parentesco inter se e grande concentração do patrimônio genético de poucos indivíduos na população.

Mineralogy of the clay fraction of alfisols in two slope curvatures: IV - spatial correlation with physical properties

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Results of 23 years of selection for post-weaning weight in a Caracu beef herd

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Selection for higher body weight in Nelore cattle is effective in achieving an increase of longissimus muscle area without reducing subcutaneous fat thickness

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)