Estudo das características físico-químicas e biológicas pela adesão de osteoblastos em superfícies de titânio modificadas pela nitretação em plasma

SILVA, J. S. P. Estudo das características físico-químicas e biológicas pela adesão de osteoblastos em superfícies de titânio modificadas pela nitretação em plasma. 2008. 119 f. Tese (Doutorado) - Faculdade de Medicina, Universidade de São Paulo. São Paulo, 2008.

Previsão do índice bovespa por meio de redes neurais artificiais: uma análise comparada aos métodos tradicionais de séries de tempo

Forecast is the basis for making strategic, tactical and operational business decisions. In financial economics, several techniques have been used to predict the behavior of assets over the past decades.Thus, there are several methods to assist in the task of time series forecasting, however, conventional modeling techniques such as statistical models and those based on theoretical mathematical models have produced unsatisfactory predictions, increasing the number of studies in more advanced methods of prediction. Among these, the Artificial Neural Networks (ANN) are a relatively new and promising method for predicting business that shows a technique that has caused much interest in the financial environment and has been used successfully in a wide variety of financial modeling systems applications, in many cases proving its superiority over the statistical models ARIMA-GARCH. In this context, this study aimed to examine whether the ANNs are a more appropriate method for predicting the behavior of Indices in Capital Markets than the traditional methods of time series analysis. For this purpose we developed an quantitative study, from financial economic indices, and developed two models of RNA-type feedfoward supervised learning, whose structures consisted of 20 data in the input layer, 90 neurons in one hidden layer and one given as the output layer (Ibovespa). These models used backpropagation, an input activation function based on the tangent sigmoid and a linear output function. Since the aim of analyzing the adherence of the Method of Artificial Neural Networks to carry out predictions of the Ibovespa, we chose to perform this analysis by comparing results between this and Time Series Predictive Model GARCH, developing a GARCH model (1.1).Once applied both methods (ANN and GARCH) we conducted the results' analysis by comparing the results of the forecast with the historical data and by studying the forecast errors by the MSE, RMSE, MAE, Standard Deviation, the Theil's U and forecasting encompassing tests. It was found that the models developed by means of ANNs had lower MSE, RMSE and MAE than the GARCH (1,1) model and Theil U test indicated that the three models have smaller errors than those of a naïve forecast. Although the ANN based on returns have lower precision indicator values than those of ANN based on prices, the forecast encompassing test rejected the hypothesis that this model is better than that, indicating that the ANN models have a similar level of accuracy . It was concluded that for the data series studied the ANN models show a more appropriate Ibovespa forecasting than the traditional models of time series, represented by the GARCH model

Metodologias de serviços públicos de ATER: estudo em instituições do Rio Grande do Norte

Due to the appreciation of family farming by the Brazilian Federal Government, the Technical Assistance and Rural Extension was induced to restructure and act in a more participative way, culminating in the National Policy of Technical Assistance and Rural Extension (PNATER), changing the profile of technology transfer and knowledge (diffusionism) for an action that uses participatory methodologies focused on exchange of knowledge between farmers and technicians. The process of discussion of the trends of ATER brought the New ATER , with the recognition of agroecology as the main guidance. This research aimed to analyze methods of public ATER developed by institutions of Rio Grande do Norte, under the guidance of New ATER. The research is qualitative. Secondary data were collected through documental research and literature. Primary data were collected through a set of interviews applied to representatives of public institutions ATER, namely EMATER-RN, Diaconia and AACC and representatives of organizations that receive public ATER. The research showed the difficulties of EMATER-RN in implementing of New ATER due to lack of infrastructure and low adherence of the new form of technical assistance and rural extension. It was shown also that the AACC and Diaconia act with ATER through projects with implementation deadlines set, often interrupting ATER while communities are still in need of assistance