901 resultados para Asymptotic behaviour, Bayesian methods, Mixture models, Overfitting, Posterior concentration
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We sequenced part of the 16S rRNA mitochondrial gene in 17 extant taxa of Pilosa (sloths and anteaters) and used these sequences along with GenBank sequences of both extant and extinct sloths to perform phylogenetic analysis based on parsimony, maximum-likelihood and Bayesian methods. By increasing the taxa density for anteaters and sloths we were able to clarify some points of the Pilosa phylogenetic tree. Our mitochondrial 16S results show Bradypodidae as a monophyletic and robustly supported clade in all the analysis. However, the Pleistocene fossil Mylodon darwinii does not group significantly to either Bradypodidae or Megalonychidae which indicates that trichotomy best represents the relationship between the families Mylodontidae, Bradypodidae and Megalonychidae. Divergence times also allowed us to discuss the taxonomic status of Cyclopes and the three species of three-toed sloths, Bradypus tridactylus, Bradypus variegatus and Bradypus torquatus. In the Bradypodidae the split between Bradypus torquatus and the proto-Bradypus tridactylus / B. variegatus was estimated as about 7.7 million years ago (MYA), while in the Myrmecophagidae the first offshoot was Cyclopes at about 31.8 MYA followed by the split between Myrmecophaga and Tamandua at 12.9 MYA. We estimate the split between sloths and anteaters to have occurred at about 37 MYA.
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Os métodos numéricos de Elementos Finitos e Equação Integral são comumente utilizados para investigações eletromagnéticas na Geofísica, e, para essas modelagens é importante saber qual algoritmo é mais rápido num certo modelo geofísico. Neste trabalho são feitas comparações nos resultados de tempo computacional desses dois métodos em modelos bidimensionais com heterogeneidades condutivas num semiespaço resistivo energizados por uma linha infinita de corrente (com 1000Hz de freqüência) e situada na superfície paralelamente ao "strike" das heterogeneidades. Após a validação e otimização dos programas analisamos o comportamento dos tempos de processamento nos modelos de corpos retangulares variandose o tamanho, o número e a inclinação dos corpos. Além disso, investigamos nesses métodos as etapas que demandam maior custo computacional. Em nossos modelos, o método de Elementos Finitos foi mais vantajoso que o de Equação Integral, com exceção na situação de corpos com baixa condutividade ou com geometria inclinada.
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A preocupação com as rotinas de manutenção normalmente está relacionada à falha de um processo ou equipamento (manutenção corretiva). O controle sistemático da manutenção e operação dos ativos é considerado um alto ponto de redução de custos e aumento da disponibilidade operacional para o planejamento estratégico. Como resultado, tem-se na área de manutenção, uma grande quantidade de métodos, software, modelos e ferramentas de gestão disponíveis. Dentre eles, dois métodos se destacam: o RCM (Reliability Centered Maintenance ou Manutenção Centrada em Confiabilidade), de origem norte-americana, e o TPM (Total Productive Maintenance ou Manutenção Produtiva Total), de origem japonesa. Desta forma, o objetivo principal deste trabalho é estudar a sistemática do planejamento estratégico e da manutenção planejada para a redução de falhas e defeitos que ocorrem em equipamentos, a partir das metodologias propostas pelos principais autores da área de planejamento estratégico e manutenção, com o intuito de propor melhorias na utilização desta ferramenta. Com base no referencial teórico (Amendola, Berndt, Coimbra, Certo, Copser, Nakajima, Mendes, Moreira, Moubray, Oliveira, Kaplan entre outros) estudado, foi possível iniciar a compreensão do planejamento da gestão da manutenção planejada da Usina Hidrelétrica de Tucuruí e suas práticas de desempenho em relação às práticas de referência e dos principais indicadores estratégicos destacados por esses autores. Esta pesquisa possibilitou avaliar que o atual procedimento adotado em Tucuruí está alinhado com todos os pensadores estudados, bastando apenas à melhor disseminação de todos os conceitos entre todos os níveis hieraquicos de planejamento e execução.
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Pós-graduação em Odontologia - FOA
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Objective: the aim of this study was to evaluate the influence of occlusal veneering material in single fixed implant-supported crowns through the 3-D finite element method. Material and methods: Four models were fabricated using the Rhinoceros 4.0, SolidWorks, and InVesalius softwares. Each model represented a block of mandibular bone with an external hexagon implant of 5 mm x 10 mm and different veneering materials including NiCr (1), porcelain (2), composite resin (3), and acrylic resin (4). An axial load of 200 N and an oblique load of 100 N were applied. Results: model (2) with porcelain veneering presented a lower stress concentration for the NiCr framework, followed by the composite resin and acrylic resin. The stress distribution to the implant and bone tissue was similar for all models. Conclusions: there is no difference of stress distribution to the implant and supporting structures by varying the veneering material of a single implant-supported prosthesis.
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Objective: the aim of this study was to evaluate the influence of occlusal veneering material in single fixed implant-supported crowns through the 3-D finite element method. Material and methods: Four models were fabricated using the Rhinoceros 4.0, SolidWorks, and InVesalius softwares. Each model represented a block of mandibular bone with an external hexagon implant of 5 mm x 10 mm and different veneering materials including NiCr (1), porcelain (2), composite resin (3), and acrylic resin (4). An axial load of 200 N and an oblique load of 100 N were applied. Results: model (2) with porcelain veneering presented a lower stress concentration for the NiCr framework, followed by the composite resin and acrylic resin. The stress distribution to the implant and bone tissue was similar for all models. Conclusions: there is no difference of stress distribution to the implant and supporting structures by varying the veneering material of a single implant-supported prosthesis.
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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The aim of this work is to discriminate vegetation classes throught remote sensing images from the satellite CBERS-2, related to winter and summer seasons in the Campos Gerais region Paraná State, Brazil. The vegetation cover of the region presents different kinds of vegetations: summer and winter cultures, reforestation areas, natural areas and pasture. Supervised classification techniques like Maximum Likelihood Classifier (MLC) and Decision Tree were evaluated, considering a set of attributes from images, composed by bands of the CCD sensor (1, 2, 3, 4), vegetation indices (CTVI, DVI, GEMI, NDVI, SR, SAVI, TVI), mixture models (soil, shadow, vegetation) and the two first main components. The evaluation of the classifications accuracy was made using the classification error matrix and the kappa coefficient. It was defined a high discriminatory level during the classes definition, in order to allow separation of different kinds of winter and summer crops. The classification accuracy by decision tree was 94.5% and the kappa coefficient was 0.9389 for the scene 157/128. For the scene 158/127, the values were 88% and 0.8667, respectively. The classification accuracy by MLC was 84.86% and the kappa coefficient was 0.8099 for the scene 157/128. For the scene 158/127, the values were 77.90% and 0.7476, respectively. The results showed a better performance of the Decision Tree classifier than MLC, especially to the classes related to cultivated crops, indicating the use of the Decision Tree classifier to the vegetation cover mapping including different kinds of crops.
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Background: The evaluation of associations between genotypes and diseases in a case-control framework plays an important role in genetic epidemiology. This paper focuses on the evaluation of the homogeneity of both genotypic and allelic frequencies. The traditional test that is used to check allelic homogeneity is known to be valid only under Hardy-Weinberg equilibrium, a property that may not hold in practice. Results: We first describe the flaws of the traditional (chi-squared) tests for both allelic and genotypic homogeneity. Besides the known problem of the allelic procedure, we show that whenever these tests are used, an incoherence may arise: sometimes the genotypic homogeneity hypothesis is not rejected, but the allelic hypothesis is. As we argue, this is logically impossible. Some methods that were recently proposed implicitly rely on the idea that this does not happen. In an attempt to correct this incoherence, we describe an alternative frequentist approach that is appropriate even when Hardy-Weinberg equilibrium does not hold. It is then shown that the problem remains and is intrinsic of frequentist procedures. Finally, we introduce the Full Bayesian Significance Test to test both hypotheses and prove that the incoherence cannot happen with these new tests. To illustrate this, all five tests are applied to real and simulated datasets. Using the celebrated power analysis, we show that the Bayesian method is comparable to the frequentist one and has the advantage of being coherent. Conclusions: Contrary to more traditional approaches, the Full Bayesian Significance Test for association studies provides a simple, coherent and powerful tool for detecting associations.