Análise da variabilidade climática sobre a produtividade da soja no município de Bom Jesus (PI)

The climate is still main responsible for the variations soybean productivity (Glycine max (L.) Merrill), exerting a limiting action on these agricultural systems. The bomjesuense cerrado, this culture has proved, over the years, an increase of cultivated areas, however, productivity does not keep the same pace, going through periods of oscillations. Thus, although the crop is added to high technology, culture has great vulnerability to climatic adversities. Thus, the present study aims to analyze possible trends in meteorological variables, which can influence the soybean yield in Bom Jesus. For this purpose, different datasets were used, as follows: i) two periods of daily data (1984-2014 and 1974-2014), both obtained from the National Meteorological Institute (INMET); ii) climate normals from 1961-1990 as defined by INMET; iii) local agricultural production data of soybean-year (1997/1998 to 2012/2013) obtained from the Municipal Agricultural Production (PAM) dataset, which is management by Brazilian Institute of Geography and Statistics (IBGE). The analysis procedures included calculations of climate normals for 1984 to 2014 period and some statistical applications, as follows: i) the Wilcoxon test, used to evaluate differences between climate normals (1961 to 1990 and 1984 to 2014); ii) the Mann-Kendall nonparametric test, in order to analyze the linear trend of agrometeorological variables (rainfall, maximum temperature, minimum temperature and diurnal range of temperature; iii) cluster analysis by Ward method and the Spearman correlation test (rs) to identify the relationship between agrometeorological variable and soybean annual productivity. We adopted a statistical significance level of 5%. The results indicate changes in seasonality of the 1984-2014 climatology with respect to past climatology for all variables analyzed, except for insolation and precipitation. However, the monthly analysis of precipitation indicate negative trend during October and positive trend in December, causing a delay in start of rainy season. If this trend is persistent this result must be considered in futures definitions of the soybean crop sowing date over the region studied. With Mann-Kendall test was possible to identify positive trends with statistical significance in maximum temperature for all month forming part of soybean cycle (from November to April), which in turn tends to cause adverse effects on crop physiology, and consequently impacts on the final yield. Was identified a significant positive correlation between soybean yield and precipitation observed in March, thus precipitation deficit in this month is harmful to the soybean crop development. No statistically significant correlation was identified among maximum temperature, minimum temperature, and DTR with annual soybean productivity due these range of meteorological variables are not limiting factors in the final soybean yield in Bom Jesus (PI). It is expected that this study will contribute to propose planning strategies considering the role of climate variability on soybean crop final yield.

Análise da variabilidade da marcha de indivíduos com comprometimento articular unilateral do quadril por meio de sensores inerciais

Data variability analysis has been the focus of a number of studies seeking to capture differences of patterns generated by biological systems. Although several studies related to gait employ the analysis of variability in their observations, we noticed a lack of such information for subjects with unilateral coxarthrosis undergoing total hip arthroplasty (THA). To tackle this deficiency of information, we conducted a study of the gait on a treadmill with10 healthy subjects (30.7 ± 6.75 years old) from G1 and 24 subjects (65 ± 8.5 years old) with unilateral THA from G2. Thus, by means of two inertial measurement units (IMUs) positioned in the pelvis, we have developed a detection method of the step and stride for calculating these intervals and extract the signal characteristics. The variability analysis (coefficient of variation) was performed, taking into consideration the extracted features and the step and stride times. The average and the 95% confidence interval estimate for the average of the step and stride times to each group were in agreement with literature. The mean coefficient of variation for the step and stride times was calculated and compared among groups by the Kruskal-Wallis test with 95% confidence interval. Each component X, Y and Z of the two IMUs (accelerometer, magnetometer and gyroscope) corresponded to a variable. The resultants of each sensor, the linear velocity (accelerometers) and the instantaneous angular displacement (gyroscopes) completed the set of variables. The characteristics were extracted from the signals of these variables to check the variability in the G1 and G2 groups . There were significant differences (p <0.05) between G1 and G2 for the average of the step and stride times. The variability of the step and stride, as well as the variability of all other evaluated characteristics were higher for the group G2 (p <0.05). The method proposed in this study proved to be suitable for the measuring of variability of biomechanical parameters related to the extracted features. All the extracted features categorized the groups. The G2 group showed greater variability, so it is possible that the age and the pathological condition of the hip both contributed to this result.

Otimização de uma metodologia para análise mineralógica racional de argilominerais

VARELA, M.L. et al. Otimização de uma metodologia para análise mineralógica racional de argilominerais. Cerâmica, São Paulo, n. 51, p. 387-391, 2005.

Desenvolvimento de uma técnica para análise de desgaste em peças metálicas com o uso do ciclotron CV-28 do IEN

As técnicas nucleares, com ênfase a técnica conhecida como TLA - Thin Layer Activation, tem sido utilizada com sucesso e contribuído significativamente para o estudo de sistemas tribológicos, na análise e medição de desgaste para profundidades na ordem de grandeza de 10 µm apesar potencialmente poder aplicadas a espessuras de dezenas de milímetros. Esta limitação é intrínseca da técnica utilizada na ativação da camada superficial da peça ou elemento a ser investigado, que consiste na aplicação direta de um feixe de partículas carregadas a uma determinada energia, equivalente a máxima seção de choque do material a fim de obter uma taxa ativação constante ao longo de uma determinada espessura ou utilizando uma energia menor que este valor para se obter uma taxa ativação linear também para uma determinada profundidade de ativação. O objetivo desse trabalho é apresentar uma nova técnica que consiste na utilização de um feixe de energia superior a energia correspondente à máxima seção de choque e aplicar um elemento degradador (Roda Degradadora) como objetivo de homogeneizar a ativação superficial ao longo da espessura da amostra, possibilitando uma melhoria na precisão da análise e possibilitando ainda um maior alcance dessa camada e aumentando a gama de aplicações possíveis dessa técnica, onde por exemplo, maiores taxas de desgaste possam ser analisadas. Após o experimento e análise dos dados constatou-se que a técnica proposta melhora a linearidade da curva que representa a taxa de ativação e aumentando significativamente a profundidade analisável podendo chegar a ordem 6 x 10 µm. Em adição este trabalho reinaugura a pesquisa em aplicações nucleares no IEN - Instituto de Engenharia Nuclear com utilização de aceleradores de partículas tipo ciclotron.

A Geração de inovação na carcinicultura do RN: Uma análise a partir da imersão social

This dissertation examines the organizational innovation as a nonlinear process, which occurs in a social and political context and, therefore, socially immersed. Examines the case of shrimp in the state of RN, starting from the following problem: although the norteriograndense shrimp occupies the largest producer of farmed shrimp from Brazil, has a series of bottlenecks concerning the generation of industry innovation, concerning the social relationships and policies between the various actors in the network, whether private or public, and its consequences in terms of opportunity and limits generated for the innovative dynamics. The objective of the research is to understand how the social embeddedness of political actors affects norteriograndense shrimp within the context of structural relations, the industry generation of innovation, throughout its technological trajectory . The approach of social embeddedness balances atomised perspectives, undersocialized and oversocialized, of economic action, considering both the human capacity to act as sources of constraint, whose mechanisms are analyzed the structural and political. In methodological terms this is a case study, analyzed from the research literature, documentary and experimental. Primary data were collected through semi-structured interviews and analyzed in depth by the technique of content analysis. Was adopted a longitudinal approach, seeking to understand the phenomenon from the perspective of the subjects, describing it in an inductive process of investigation. After characterizing the sector and defining their technological trajectory, the analysis of the results followed its four stages: (1) Introduction of Technology: 1973-1980, (2) Intensification of Research: 1981-1991, (3) Technological Adaptation, 1992 -2003, (4) Technological Crisis: 2004-2009. A cross-sectional analysis along the evolutionary trajectory revealed the character of structural changes and policies over time, and implications on the generating process of innovation. Note that, the technological limit to which the sector reached requires changes in technology standards, but is more likely that the potiguar shrimp is entering a new phase of his career in technology rather than a new technological paradigm

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

Análise experimental do efeito da diversificação em carteiras de ações: a relação entre risco e quantidade de ativos sob a ótica da estratégia ingênua

The objective is to analyze the relationship between risk and number of stocks of a portfolio for an individual investor when stocks are chosen by "naive strategy". For this, we carried out an experiment in which individuals select actions to reproduce this relationship. 126 participants were informed that the risk of first choice would be an asset average of all standard deviations of the portfolios consist of a single asset, and the same procedure should be used for portfolios composed of two, three and so on, up to 30 actions . They selected the assets they want in their portfolios without the support of a financial analysis. For comparison we also tested a hypothetical simulation of 126 investors who selected shares the same universe, through a random number generator. Thus, each real participant is compensated for random hypothetical investor facing the same opportunity. Patterns were observed in the portfolios of individual participants, characterizing the curves for the components of the samples. Because these groupings are somewhat arbitrary, it was used a more objective measure of behavior: a simple linear regression for each participant, in order to predict the variance of the portfolio depending on the number of assets. In addition, we conducted a pooled regression on all observations by analyzing cross-section. The result of pattern occurs on average but not for most individuals, many of which effectively "de-diversify" when adding seemingly random bonds. Furthermore, the results are slightly worse using a random number generator. This finding challenges the belief that only a small number of titles is necessary for diversification and shows that there is only applicable to a large sample. The implications are important since many individual investors holding few stocks in their portfolios

Eficiência e razão de hedge: uma análise dos mercados futuro brasileiros de boi, café, etanol, milho e soja

This research aims to investigate the Hedge Efficiency and Optimal Hedge Ratio for the future market of cattle, coffee, ethanol, corn and soybean. This paper uses the Optimal Hedge Ratio and Hedge Effectiveness through multivariate GARCH models with error correction, attempting to the possible phenomenon of Optimal Hedge Ratio differential during the crop and intercrop period. The Optimal Hedge Ratio must be bigger in the intercrop period due to the uncertainty related to a possible supply shock (LAZZARINI, 2010). Among the future contracts studied in this research, the coffee, ethanol and soybean contracts were not object of this phenomenon investigation, yet. Furthermore, the corn and ethanol contracts were not object of researches which deal with Dynamic Hedging Strategy. This paper distinguishes itself for including the GARCH model with error correction, which it was never considered when the possible Optimal Hedge Ratio differential during the crop and intercrop period were investigated. The commodities quotation were used as future price in the market future of BM&FBOVESPA and as spot market, the CEPEA index, in the period from May 2010 to June 2013 to cattle, coffee, ethanol and corn, and to August 2012 to soybean, with daily frequency. Similar results were achieved for all the commodities. There is a long term relationship among the spot market and future market, bicausality and the spot market and future market of cattle, coffee, ethanol and corn, and unicausality of the future price of soybean on spot price. The Optimal Hedge Ratio was estimated from three different strategies: linear regression by MQO, BEKK-GARCH diagonal model, and BEKK-GARCH diagonal with intercrop dummy. The MQO regression model, pointed out the Hedge inefficiency, taking into consideration that the Optimal Hedge presented was too low. The second model represents the strategy of dynamic hedge, which collected time variations in the Optimal Hedge. The last Hedge strategy did not detect Optimal Hedge Ratio differential between the crop and intercrop period, therefore, unlikely what they expected, the investor do not need increase his/her investment in the future market during the intercrop

Classificação não-supervisionada de dados hiperespectrais usando análise em componentes independentes

No passado recente foram desenvolvidas v árias t écnicas para classi ca ção de dados hiperspectrais. Uma abordagem tí pica consiste em considerar que cada pixel e uma mistura linear das reflectancias espectrais dos elementos presentes na c élula de resolu ção, adicionada de ru ído. Para classifi car e estimar os elementos presentes numa imagem hiperespectral, v ários problemas se colocam: Dimensionalidade dos dados, desconhecimento dos elementos presentes e a variabilidade da reflectância destes. Recentemente foi proposta a An álise em Componentes Independentes,para separa ção de misturas lineares. Nesta comunica ção apresenta-se uma metodologia baseada na An álise em Componentes Independentes para detec ção dos elementos presentes em imagens hiperespectrais e estima ção das suas quantidades. Apresentam-se resultados desta metodologia com dados simulados e com dados hiperespectrais reais, ilustrando a potencialidade da t écnica.

A educação física e a dança: a abordagem estética do desporto como uma possibilidade na área da composição coreográfica, com alunos do 5º vocacional da Academia de Música de Vilar do Paraíso

Relatório Final de Estágio apresentado à Escola Superior de Dança, com vista à obtenção do grau de Mestre em Ensino de Dança.

Otimização de uma metodologia para análise mineralógica racional de argilominerais

VARELA, M.L. et al. Otimização de uma metodologia para análise mineralógica racional de argilominerais. Cerâmica, São Paulo, n. 51, p. 387-391, 2005.

Produção de quitosana a partir de resíduos de camarão: análise do processo e da operação de secagem

A quitina é encontrada principalmente nos exoesqueletos de crustáceos, insetos e na parede celular de fungos. O biopolímero quitosana é obtido através da hidrólise alcalina da quitina. A despolimerização da quitosana é realizada para se obter um produto com valores baixos de massa molecular. O uso da quitosana em diversas áreas é diretamente relacionada com a massa molecular e o grau de desacetilação do polímero. Os objetivos deste trabalho foram o estudo da cinética de secagem de quitina em camada delgada utilizando um modelo difusivo, considerando a resistência externa à transferência de massa; a determinação do comportamento da massa molecular média viscosimétrica da quitosana, durante a secagem convectiva, em camada delgada; a otimização das etapas de desacetilação e despolimerização da quitosana. A quitina foi obtida de resíduos de camarão. Os experimentos da secagem de quitina e da quitosana foram em secador de bandejas, a 60°C, sendo que para a quitina foram utilizadas duas velocidades do ar de 0,5 e 1,5 m/s. A estimativa da viscosidade intrínseca foi através da equação de Huggins e a massa molecular da quitosana foi calculada pela equação de Mark-Houwink-Sakurada. As otimizações da reação de desacetilação e despolimerização foram realizadas utilizando a metodologia da superfície de resposta. Para a reação de desacetilação foram variados o tempo e a temperatura. Para a reação de despolimerização foram analisados a concentração de ácido clorídrico, a temperatura e o tempo de reação. O modelo difusivo com difusividade efetiva variável, utilizado para analisar a secagem de quitina, apresentou concordância com os dados experimentais, onde foi observado o efeito da resistência externa à transferência de massa, quando utilizada a menor velocidade do ar. A condição ótima da reação de desacetilação para massa molecular foi observada na temperatura de 130°C em 90 min, e correspondeu a massa molecular de 150 kDa e um grau de desacetilação de 90%. A operação de secagem da quitosana causou um aumento na massa molecular média viscosimétrica de 27% e este aumento foi linear com o tempo e a umidade do polímero, apresentando duas regiões. As condições da reação de despolimerização para alcançar 50 kDa foram à temperatura de reação de 65°C, concentração de ácido clorídrico de 35% v/v. Nestas condições a cinética de despolimerização foi de pseudo-primeira ordem, apresentando duas fases.

A ideologia da encenação: uma análise dos aspectos cênico/ideológicos da encenação produzida pela indústria cultural

The research that led to this dissertation adopted a set of scenic/ideological aspects inherent to the productions of the Culture Industry as its object of research. The intellectual output of Theodor W. Adorno and Max Horkheimer underscored the approaches on this subject, since it provides the same set of scenic/ideological features to be explored because, according to the authors, scenes produced by the culture industry are linked to the dominant ideology, since they act in favor of maintaining the status quo. The first objective was the definition this set of features inherent to the scene produced by the culture industry, through the exploration of literature produced by Adorno and Horkheimer, so it was possible to define a set composed of nine elements: Construction of characters as characteristic types; Stereotypes; Naturalization of Stereotyped language; Simplistic playwriting; Reuse dramatic formula; Love and sexuality as themes of plots; Utilization of tragic element; Objetive representation; Approximation of fiction and reality. The second goal was the analysis of scene produced by the culture industry nowadays, so that it was possible to verify if any scenic/ideological aspects indicated by Adorno and Horkheimer in the mid-twentieth century were present among the productions from this beginning of the twenty-first century. Through the analysis of three soap operas produced in Brazil in 2012, it was found that the nine scenic/ideological aspects as indicated by Adorno and Horkheimer appeared in the observed productions. Additionally, a new scenic/ideological feature, not indicated by Adorno and Horkheimer is present: the merchandising

O Naturalismo e o Direito: uma análise teórica dos institutos jurídicos presentes no romance «A carne», de Júlio Ribeiro

Através dos estudos do fenômeno jurídico abordado nos textos literários, este trabalho visa analisar o romance «A carne», do escritor Júlio Ribeiro e publicado no ano de 1888, obra esta que retrata a estética da escola literária do Naturalismo e que causou polêmica na época em que foi publicada. Analisaremos o romance com base em teorias literárias e nas construções teóricas da relação entre Direito e Literatura, para estudar os institutos jurídicos narrados e discutidos em situações concretas, a exemplo do divórcio, que prejudicaram os personagens desse romance, devido à falta de uma legislação que regulamentasse o assunto, na transição do Império para a República.

Teoria da arte hacker : estética, diferença e transgressão tecnológica

Tese (doutorado)—Universidade de Brasília, Instituto de Artes, Departamento de Artes Visuais, Programa de Pós-Graduação em Arte, 2015.