676 resultados para Vetores não-virais


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Pós-graduação em Fisiopatologia em Clínica Médica - FMB

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In this project the Pattern Recognition Problem is approached with the Support Vector Machines (SVM) technique, a binary method of classification that provides the best solution separating the data in the better way with a hiperplan and an extension of the input space dimension, as a Machine Learning solution. The system aims to classify two classes of pixels chosen by the user in the interface in the interest selection phase and in the background selection phase, generating all the data to be used in the LibSVM library, a library that implements the SVM, illustrating the library operation in a casual way. The data provided by the interface is organized in three types, RGB (Red, Green and Blue color system), texture (calculated) or RGB + texture. At last the project showed successful results, where the classification of the image pixels was showed as been from one of the two classes, from the interest selection area or from the background selection area. The simplest user view of results classification is the RGB type of data arrange, because it’s the most concrete way of data acquisition

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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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Pós-graduação em Ciências Biológicas (Genética) - IBB

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Pós-graduação em Medicina Veterinária - FMVZ

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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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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Results of educative actions on the control of vectors for dengue and leishmaniasis were evaluated by using an online semi-present course directed to teachers from Fundamental I Education level in Araçatuba-SP. 40 teachers from municipal schools located on geographical areas of town with higher occurrence of dengue and leishmaniasis cases, attended to the course, which consisted in a conceptual part directed to specific subjects such as vector borne and zoonotic diseases, responsible ownership of pets and health education and a practical phase, directed to execution and application of educative projects in the target schools. Data about the teacher’s specific knowledge, before and after the attendance to the course, were submitted to the Wilcoxon test with a 5% of significant level. The application of practical educative projects was evaluated by multiplicative actions involving target public. Tests showed statistically significant increase in the knowledge about the studied diseases (p<0.0001) after the course, especially on questions related to etiological agent, clinical symptoms on man and animals and prevention. Activities of knowledge multiplication envolved teachers and students which detected the problems and promoted education actions in their neighborhood as stage performing, group cleaning activities and elaboration and distribution of folders during a student pared. In conclusion, educative actions direct to the control of diseases vectors using a semi-present course, provides new knowledge to the teachers, impelling them to motivate their students to adopt vectors control measures and environmental cares and to sensitive the community to collaborate with control diseases.

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O Teorema de Poincaré-Bendixson é um resultado muito importante no estudo de Sistemas Dinâmicos, pois ele estabelece para quais tipos de conjunto limite as trajetórias de um campo de vetores em IR2 deve convergir. Neste trabalho vamos abordar a Funç˜ao do primeiro Retorno de Poincaré, além de discutir a estabilidade de Ciclos Limites e provar o Teorema de Poincaré-Bendixson.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)