492 resultados para inferência bayesiana
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Pós-graduação em Ciências Cartográficas - FCT
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Incomplete glimpses of the philosophy of Charles Peirce (1839-1914) can frequently be found in studies about Semiotics and Information Science. Therefore, we sought to discover the theoretical and applied interrelationships between knowledge and information organization and Peirce's Semiotics and Philosophy. The aim was to discover and evaluate the contributions of Peirce's Semiotics and Philosophy to the knowledge and information organization field. The method of this study was bibliographical research. The main results were: indexing process semiotic model, semiotic knowledge organization, interaction between documentary semiotics and documentary languages, kinds of inference to the indexing process, as well as the collaboration of Peirce's pragmatism to terminology theory. Finally, we listed issues for future research.
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Pós-graduação em Agronomia (Genética e Melhoramento de Plantas) - FCAV
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Pós-graduação em Genética e Melhoramento Animal - FCAV
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Pós-graduação em Ciências Biológicas (Genética) - IBB
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Pós-graduação em Matematica Aplicada e Computacional - FCT
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Pós-graduação em Engenharia Elétrica - FEB
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Dengue virus is a major public health problem worldwide. Aedes (Stegomyia) aegypti is the main dengue vector. Since there is no specific treatment or effective vaccine, control measure is focused on vector control. It is believed that population density is higher in the warmer/rainy season than in cold/dry. The study aimed to genetically characterize population dynamics of Ae. aegypti during climatic variations. Collections were performed at least once in both periods over five years by oviposition traps at Botucatu city. The technique of TaqMan allelic discrimination was used for genetic analysis, in which SNPs from nine genes distributed on three chromosomes of the mosquito were genotyped. Bayesian analysis did not show variance on population structure over the five year period. The percentage of variation among samples in statistical analysis was low (Fst = 0.0028, p = 0.7634), furthermore the allele frequencies were constant. The results show that despite wide variation in the density of adults, population size does not vary. Therefore, there is variation in the prevalence of the species life stages: adults in warmer/rainy, and possibly eggs in cold/dry, resulting in different control strategies for each period. Moreover, estimation of population size should not consider only winged adults, but all other found life stages forms
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O impacto das atividades antropogênicas sobre o meio ambiente é um tema de grande relevância atualmente, atraindo a atenção da comunidade científica em geral, visto que essas atividades têm causado alterações significativas na qualidade da água, do solo e do ar. Dentre a ampla gama de poluentes resultantes das atividades humanas, merece destaque a classe dos metais pesados, os quais possuem propriedades tóxicas e genotóxicas, constituindo fatores de risco para o desenvolvimento de desordens neurodegenerativas, artrite e câncer nas populações expostas a estes contaminantes, bem como alterações nos ecossistemas contaminados. Neste sentido, o presente trabalho teve por objetivo avaliar o potencial citotóxico, genotóxico e mutagênico do níquel como contaminante, utilizando Allium cepa (Liliaceae) como organismo-teste, a fim de detectar possíveis efeitos deletérios em seu material genético. Estas avaliações foram feitas por meio da exposição de sementes de A. cepa a três soluções, com diferentes concentrações de níquel. Os resultados obtidos no primeiro biensaio e na repetição estão apresentados na forma de artigo científico, a ser submetido para revista especializada. O estudo dos efeitos do níquel em A. cepa foram importantes, uma vez que os dados da avaliação dos danos induzidos neste organismo modelo podem ser utilizados para a comparação com modelos animais, sendo possível assim, a inferência dos perigos aos ecossistemas e à população que está exposta a esse contaminante
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The main objective of the presented study is the development of a predictive interval type-2 fuzzy inference system in order to estimate the mortality risk for a newborn, to be used as an auxiliary tool for decision making in medical centers where there is a lack of professionals for this purpose and, afterwards, to compare its performance to a type-1 fuzzy system. The input variables were chosen due to their acquisition ‘simplicity, not involving any invasive tests, such as blood tests or other specific tests. The variables are easily obtained in the first few minutes of life: birth weight, gestational age at delivery, 5-minute Apgar score and previous report of stillbirth. Databases from the DATASUS were used to validate the model. 1351 records from the city of São José dos Campos, a mid-sized city in the São Paulo state’s countryside, were considered in this study. Finally, an analysis using the ROC curve was performed to estimate the model’s accuracy
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Pós-graduação em Ciências Biológicas (Zoologia) - IBRC
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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In this work was developed a fuzzy computational model type-2 predictive interval, using the software of the type-2 fuzzy MATLAB toolbox, the final idea is to estimate the number of hospitalizations of patients with respiratory diseases. The interest in the creation of this model is to assist in decision makeshift hospital environment, where there are no medical or professional equipment available to provide the care that the population need. It began working with the study of fuzzy logic, the fuzzy inference system and fuzzy toolbox. Through a real database provided by the Departamento de Informática do Sistema Único de Saúde (DATASUS) and Companhia de Tecnologia de Saneamento Básico (CETESB), was possible to start the model. The analyzed database is composed of the number of patients admitted with respiratory diseases a day for the public hospital in São José dos Campos, during the year 2009 and by factors such as PM10, SO2, wind and humidity. These factors were analyzed as input variables and, through these, is possible to get the number of admissions a day, which is the output variable of the model. For data analysis we used the fuzzy control method type-2 Mamdani. In the following steps the performance developed in this work was compared with the performance of the same model using fuzzy logic type-1. Finally, the validity of the models was estimated by the ROC curve
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The present work develops a fuzzy inference system to control the rotation speed of a DC motor available in Degem Kit. Therefore, it should use the fuzzy toolbox of Matlab in conjunction with the data acquisition board NI - USB - 6009, a National Instrument’s board. An introduction to fuzzy logic, the mathematical model of a DC motor and the operation of data acquisition board is presented first. Followed by the controller fuzzy model implemented using Simulink which is described in detail. Finally, the prototype is shown and the simulator results are presented