O debate sobre desigualdade de gênero no discurso de adjudicação

O presente trabalho pretende contribuir com a literatura sobre legitimidade do poder judiciário e argumentação jurídica. O estudo se vale de pesquisa empírica baseada em amostra de casos que tratam de questões relacionadas à discriminação de gênero.

Investigação numérica do desempenho de um sensor de fibra ótica de índice de refração, baseado em SPR e utilizando COMSOL multiphysics

Esta tese é dedicada aos sensores de fibra ótica especificamente aos sensores baseados no fenómeno de ressonância de plasmão de superfície, SPR (Surface Plasmon Resonance), gerados em fibras óticas com configuração do tipo “D”, para aplicação em sensores refratométricos. Numa primeira parte desta dissertação são descritos os aspetos teóricos fundamentais para a compreensão dos fenómenos de ressonância de plasmões de superfície e a sua utilização em sistemas sensores. Estes fenómenos ocorrem na superfície de interface entre metais e outros meios materiais, sendo capazes de afetar as propriedades em reflexão e transmissão de uma onda eletromagnética incidente (feixe luminoso), de uma forma que é fortemente dependente dos meios na proximidade do metal. Assim, a medição das propriedades do feixe luminoso, como por exemplo o comprimento de onda de ressonância com SPR, permite monitorizar esses meios. Numa segunda fase foi implementada a simulação destes modelos, em COMSOL Multiphysics, que permitia não só a obtenção dos espetros de transmissão dos fenómenos de ressonância de plasmões de superfície, mas também a obtenção das distribuições do campo elétrico e magnético em função das dimensões do sensor. O COMSOL permitiu também a obtenção das curvas do deslocamento do comprimento de onda ressonante, perante variações do índice de refração exterior, da espessura do metal, da espessura da bainha e da espessura de outro elemento de elevado índice de refração. A fase seguinte foi verificar que os resultados dos métodos teóricos para os diferentes parâmetros de estudo eram semelhantes aos resultados obtidos no COMSOL. Conclui-se que com este programa é possível criar novos sensores em fibra ótica, baseados em SPR, para melhorar e otimizar os parâmetros de ressonância e sensibilidade do sensor. A última fase do trabalho baseou-se na modelização de uma fibra cuja configuração seja tal que possa criar um pequeno efeito de antena e fazer com que parte da luz seja guiada para o exterior da fibra e possa interatuar com o meio externo para melhor sensibilidade.

Efeitos da composição domiciliar e da escala equivalente sobre as medidas de desigualdade de renda e pobreza no Brasil

MARIANO, J. L. ; FIGUEIREDO, ERIK A. . Efeitos da composição domiciliar e da escala equivalente sobre as medidas de desigualdade de renda e pobreza no Brasil. In: XXXVI Encontro Nacional de Economia,Salvador 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

Biologia reprodutiva da |Tainha, Mugil curema valencientes, 1836 (osteichthyes: mugilidade) nas águas costeiras do Rio Grande do Norte

The marine fish white mullet, Mugil curema Valenciennes, 1836 (Osteichthyes: Mugilidae) exhibits a wide geographical distribution, being common in the Brazilian coast and is an important component of the artisanal fisheries. The objective of this study was to investigate the reproductive biology of M. curema in the coastal waters of Rio Grande do Norte. Fish samples were captured on a monthly basis during August, 2008 to July, 2009. The fish specimens were numbered, weighed, measured, dissected and their gonads were removed, weighed, their sex and gonadal development were identified. The length-weight relationship was determined for males and females. The sex ratio, the size at first gonadal maturation and gonadosomatic index (GSI) were calculated and ovarian development was investigated using macroscopic and histological techniques. The fecundity, spawning type and the reproductive period of the species were determined. A total of 366 specimens (186 males and 180 females) were captured. The sex ratio was 1:1 and the females were heavier than males. The estimated values of the angular coefficient for both sexes suggest that the species has isometric growth. The size at which 50% of the population began the process of maturation was 25.9 cm of total length for grouped sex. The macroscopic characteristics of the ovaries showed four stages of development: immature, maturing, mature and spent. However, the microscopic characteristics of the ovaries showed five stages of development: immature, early maturing, late maturing, mature and spent. The development of oocytes indicated five phases: Chromatin-nucleolus (phase I), initial perinucleolar (phase II), final perinuclear (phase II), formation of vitelline vesicle or yolk (phase III), vitellogenic (phase IV) and complete vitellogenesis (phase V). The species has a prolonged spawning period, with two peaks coinciding with the rainy season.