Algoritmos genéticos e processamento paralelo aplicados à definição e treinamento de redes neurais perceptron de múltiplas camadas

ln this work, it was deveIoped a parallel cooperative genetic algorithm with different evolution behaviors to train and to define architectures for MuItiIayer Perceptron neural networks. MuItiIayer Perceptron neural networks are very powerful tools and had their use extended vastIy due to their abiIity of providing great resuIts to a broad range of appIications. The combination of genetic algorithms and parallel processing can be very powerful when applied to the Iearning process of the neural network, as well as to the definition of its architecture since this procedure can be very slow, usually requiring a lot of computational time. AIso, research work combining and appIying evolutionary computation into the design of neural networks is very useful since most of the Iearning algorithms deveIoped to train neural networks only adjust their synaptic weights, not considering the design of the networks architecture. Furthermore, the use of cooperation in the genetic algorithm allows the interaction of different populations, avoiding local minima and helping in the search of a promising solution, acceIerating the evolutionary process. Finally, individuaIs and evolution behavior can be exclusive on each copy of the genetic algorithm running in each task enhancing the diversity of populations

On rich modal logics

I thank to my advisor, João Marcos, for the intellectual support and patience that devoted me along graduate years. With his friendship, his ability to see problems of the better point of view and his love in to make Logic, he became a great inspiration for me. I thank to my committee members: Claudia Nalon, Elaine Pimentel and Benjamin Bedregal. These make a rigorous lecture of my work and give me valuable suggestions to make it better. I am grateful to the Post-Graduate Program in Systems and Computation that accepted me as student and provided to me the propitious environment to develop my research. I thank also to the CAPES for a 21 months fellowship. Thanks to my research group, LoLITA (Logic, Language, Information, Theory and Applications). In this group I have the opportunity to make some friends. Someone of them I knew in my early classes, they are: Sanderson, Haniel and Carol Blasio. Others I knew during the course, among them I’d like to cite: Patrick, Claudio, Flaulles and Ronildo. I thank to Severino Linhares and Maria Linhares who gently hosted me at your home in my first months in Natal. This couple jointly with my colleagues of student flat Fernado, Donátila and Aline are my nuclear family in Natal. I thank my fiancée Luclécia for her precious a ective support and to understand my absence at home during my master. I thank also my parents Manoel and Zenilda, my siblings Alexandre, Paulo and Paula.Without their confidence and encouragement I wouldn’t achieve success in this journey. If you want the hits, be prepared for the misses Carl Yastrzemski

Reprogramação de células-tronco mesenquimais em neurônios utilizando genes pró-neurais

A possibilidade de repor células perdidas em doenças neurodegenerativas através de transplantes com células-troncos das mais diversas fontes vem sendo amplamente estudada. As células-tronco adultas (CTA) podem ser facilmente isoladas e sua utilização na pesquisa não envolve questões éticas e religiosas. Além disso, estas células são menos propícias à transformação tumoral do que células-tronco embrionárias, outra importante fonte de células para terapias celulares. No entanto, as CTA são, em estados fisiológicos, restritas a geração de células dos seus tecidos de origem, o que poderia limitar a sua utilização. Porém, nos últimos anos, uma série de técnicas vem sendo descritas com o objetivo de reverter tais limitações. Neste trabalho, nós investigamos a capacidade das células-tronco mesenquimais adultas, isoladas de camundongos ou do cordão umbilical humano, serem induzidas a adquirir um fenótipo neuronal de forma direta, sem passar por um estágio de célula progenitora ou pluripotente, através da reprogramação genética com genes pró-neurais. Nossos resultados indicam que tanto células-tronco mesenquimais adultas murinas quanto humanas podem ser reprogramadas em neurônios após a expressão combinada de Sox2 e Ascl1 ou Sox2 e Neurog2. As células reprogramadas exibem morfologias compatíveis com o fenótipo neuronal, expressam proteínas típicas de neurônios maduros, apresentam a capacidade de gerar potenciais de ação repetitivos e formam conexões sinápticas com outros neurônios presentes no cultivo. Portanto, nosso trabalho apresenta a primeira evidência de reprogramação direta de células-tronco mesenquimais humanas em neurônios funcionais.