190 resultados para DISTRIBUIÇÕES UNIFORMES


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The aim of this in vitro study was to comparatively evaluate the mesio and distal furcation entrance measurements of first maxillary premolar. The measurements were compared with different curette blades. A caliper was used by an examinator to acquire the measurements of root trunk (TR); 1 mm (D1) and 2 mm (D2) both below the furcation entrance. For this study Gracey, Mini Gracey, Padua Lima (PL) and Goldman Fox 4 curettes (Millenium) were selected. Measurements of DT - total distance of the active blade length, DI - width of the active blade, DM - width of the medium part of the active blade were obtained for the curettes. The measurements were obtained in both the coronary face and in the lateral face. The data TR, D1 and D2 presented normal distribution and were statistically analyzed by paired t-test. Statistically significant differences were found in the mesial root trunk region (TR) of both premolars. The mean of the measurements was greater than the distal. Mean and standard deviation were obtained, and both Gracey and Mini Gracey showed mean measurements compatible with the closer furcation entrance (D1 - 1 mm). Goldman Fox 4 showed adaptation only in the mesial face, and Padua Lima showed no access to any of the faces. Thereby it is concluded that the access of the furcation is narrow (D1). The mesial face of the root trunk (TR) showed mean measurement greater than distal face. Gracey and Mini Gracey curettes demonstrated to be compatible for both faces, mesial and distal of the first maxillary premolars studied.

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The aim of this study was to assess the occurrence of genotype-environment interaction, as well as its effects on the magnitude of genetic parameters and the classification of Nellore breeding bulls for the trait adjusted weight at 205 days (W205) on Southern Brazil. The components of (co)variance were estimated by Bayesian inference, using a linear-linear animal model in a bi-trait analysis. The proposed model for the analyses considers as random the direct additive genetic and maternal effects and residual effects, and as fixed effects the contemporary groups, sex, season of birth and weighing, and calving age as covariable (linear and quadratic effects). The a posteriori mean estimates of the direct heritabilities for W205 in the three States varied from 0.24 in Paraná (PR) to 0.34 in Santa Catarina (SC). The estimates of maternal heritability varied from 0.23 in SC and Rio Grande do Sul (RS) to 0.28 in PR. The a posteriori mean distributions of the genetic correlation varied from 0.52 between SC and RS, to 0.84 between PR and RS, suggesting that the best breeding bulls in SC are not the same as in RS.

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The aim of this note is to describe preliminary results on assessment of land use by cattle, obtained in a pilot study using Geographic Information System (GIS). The research was carried out on a semi-natural pasture in Sweden, where the geographic positions of one cow were recorded during 25 consecutive days during summer. The cow, wearing a GPS collar, was integrated in a herd of 53 Hereford cattle. Each location point registered for the animal was considered as a sampling unit (N=3,097). The spatial distribution of ground declivity, water sources, cattle tracks, and classes of woody vegetation cover (forest, grassland with trees and open grassland) were recorded. The storage, processing and data analysis were carried out using the Idrisi and GS+ softwares. Three occupation zones were identified in function of the variation in the space used by the animal, which were occupied in a cyclical pattern; with the animal moving from one zone to another in cycles of five days. It was also clear that the cattle distribution in the area was neither random nor uniform, and it was affected by environmental characteristics that act as conditioners on its distribution. These preliminary results suggest that definition of zones of occupation and the environmental conditioners are promising tools to understand the land use by cattle

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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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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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This study examined precipitation in southern Brazil based on a data set provided by the Brazilian National Water Agency, covering the period from 1976 to 2010. Data were homogenized using the R software and the Climatol subroutine, which allow completing missing data. Isohyets were drawn using the Geostatistics software to obtain a semivariogram for each analysis. There was a remarkable interannual variability in this region, with positive anomalies in the warm phase (El Nino) and negative anomalies in the cold phase (La Nina) of ENSO. Also, the responses of this variability were not uniform in the entire region, since there was variability from year to year and from event to event.

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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The objective of this paper is to verify and analyze the existence in Brazil of stylized facts observed in financial time series: volatility clustering, probability distributions with fat tails, the presence of long run memory in absolute return time series, absence of linear return autocorrelation, gain/loss asymmetry, aggregative gaussianity, slow absolute return autocorrelation decay, trading volume/volatility correlation and leverage effect. We analyzed intraday prices for 10 stocks traded at the BM&FBovespa, responsible for 52.1% of the Ibovespa portfolio on Sept. 01, 2009. The data analysis confirms the stylized facts, whose behavior is consistent with what is observed in international markets.

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Neste artigo é apresentada uma abordagem para aumentar a eficácia das Redes Neurais Artificiais de Funções de Base Radial utilizando um algoritmo de agrupamento de dados via Floresta de Caminhos Ótimos. Algumas técnicas comumente empregadas para essa tarefa, como o conhecido k-médias, requerem um determinado número de classes/agrupamentos prévio à sua execução. Embora o número de classes seja conhecido em problemas supervisionados, o número real de agrupamentos é difícil de ser encontrado, dado que uma classe pode ser representada por mais de um agrupamento. Experimentos em nove bases de dados, em conjunto com análises estatísticas, demonstraram que o classificador por Floresta de Caminhos Ótimos possui um melhor desempenho que a técnica k-médias, bem como encontra as médias das distribuições Gaussianas em posições muito similares às encontradas por este último. Entretanto, o classificador por Floresta de Caminhos Ótimos possui um custo computacional maior, dado que a sua etapa de treinamento é mais custosa que a da técnica k-médias.