162 resultados para Bayesian inference, Behaviour analysis, Security, Visual surveillance
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Pós-graduação em Genética e Melhoramento Animal - FCAV
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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With highlighted sprint ability, the racing line is important segment within the Quarter Horses breed, with huge impact on agribusiness. Theseanimals have noted morphological differences when compared to other lines within the breed, especially for larger body size proportions.The objective of this study was to estimate genetic parameters forbody measurements traitsof the racing line of the Quarter Horses breed via Bayesian inference. Here,289 animals of both sexes, registered at brazilian association of breeders (ABQM), were used. The results showed high coefficient of heritability for body length (0.74) and back-loin lenght(0.61). The heritability coefficients for height at withersand croup length were moderate (0.44 and 0.47, respectively). High genetic correlation for body length and croup length and for body length and back-loins lengthwas also observed(0.80 and 0.76, respectively). Taking into account the estimates of heritability and genetic correlations between body measurement traits, the body length and height at withers traits proved to be appropriate to provide future researches that investigate the genetic correlation between body measurements and racing performance.
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With highlighted sprint ability, the racing line is important segment within the Quarter Horses breed, with huge impact on agribusiness. Theseanimals have noted morphological differences when compared to other lines within the breed, especially for larger body size proportions.The objective of this study was to estimate genetic parameters forbody measurements traitsof the racing line of the Quarter Horses breed via Bayesian inference. Here,289 animals of both sexes, registered at brazilian association of breeders (ABQM), were used. The results showed high coefficient of heritability for body length (0.74) and back-loin lenght(0.61). The heritability coefficients for height at withersand croup length were moderate (0.44 and 0.47, respectively). High genetic correlation for body length and croup length and for body length and back-loins lengthwas also observed(0.80 and 0.76, respectively). Taking into account the estimates of heritability and genetic correlations between body measurement traits, the body length and height at withers traits proved to be appropriate to provide future researches that investigate the genetic correlation between body measurements and racing performance. Keywords: Heritability, Correlation, Length, Heigth.
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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P>In this study, Bayesian analysis under a threshold animal model was used to estimate genetic correlations between morphological traits (body structure, finishing precocity and muscling) in Nelore cattle evaluated at weaning and yearling. Visual scores obtained from 7651 Nelore cattle at weaning and from 4155 animals at yearling, belonging to the Brazilian Nelore Program, were used. Genetic parameters for the morphological traits were estimated by two-trait Bayesian analysis under a threshold animal model. The genetic correlations between the morphological traits evaluated at two ages of the animal (weaning and yearling) were positive and high for body structure (0.91), finishing precocity (0.96) and muscling (0.94). These results indicate that the traits are mainly determined by the same set of genes of additive action and that direct selection at weaning will also result in genetic progress for the same traits at yearling. Thus, selection of the best genotypes during only one phase of life of the animal is suggested. However, genetic differences between morphological traits were better detected during the growth phase to yearling. Direct selection for body structure, finishing precocity and muscling at only one age, preferentially at yearling, is recommended as genetic differences between traits can be detected at this age.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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New formularizations, techniques and devices have become the dental whitening most safe and with better results. Although this, the verification of the levels whitening is being continued for visual comparison, that is an empirical, subjective method, subject to errors and dependent of the individual interpretation. Normally the result of the whitening is express for the amplitude of displacement between the initial and the final color, being take like reference the tonalities of a scale of color commanded of darkest for more clearly. Although to be the most used scale, the ordinance of the Vita Classical (R) - Vita, according to recommendations of the manufacturer, reveals inadequate for the evaluation of the whitening. From digital images and of algorithm OER (ordinance of the reference scale), especially developed for the ScanWhite (C), the ordinance of the tonalities of the scale Vita Classical (R) was made. For such, the values of the canals of color R, G, and B of medium part average of the crowns was adopted as reference for evaluation. The images had been taken with the camera Sony Cybershoot DSC F828. The results of the computational ordinance had been compared with the sequence proposal for the manufacturer and with the earned one for the visual evaluation, carried through by 10 volunteers, under standardized conditions of illumination. It statistics analyzes demonstrated significant differences between the ordinances.
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Um modelo bayesiano de regressão binária é desenvolvido para predizer óbito hospitalar em pacientes acometidos por infarto agudo do miocárdio. Métodos de Monte Carlo via Cadeias de Markov (MCMC) são usados para fazer inferência e validação. Uma estratégia para construção de modelos, baseada no uso do fator de Bayes, é proposta e aspectos de validação são extensivamente discutidos neste artigo, incluindo a distribuição a posteriori para o índice de concordância e análise de resíduos. A determinação de fatores de risco, baseados em variáveis disponíveis na chegada do paciente ao hospital, é muito importante para a tomada de decisão sobre o curso do tratamento. O modelo identificado se revela fortemente confiável e acurado, com uma taxa de classificação correta de 88% e um índice de concordância de 83%.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Three-dimensional kinematic analysis of line of gaze, arm and ball was used to describe the visual and motor behaviour of male adolescents diagnosed with attention deficit hyperactivity disorder (ADHD). The ADHD participants were tested when both on (ADHD-On) and off (ADHD-Off) their medication and compared to age-matched normal controls in a modified table tennis task that required tracking the ball and hitting to cued right and left targets. Long-duration information was provided by a pre-cue, in which the target was illuminated approximately 2 s before the serve, and short-duration information by an early-cue illuminated about 350 ms after the serve, leaving -500 ms to select the target and perform the action. The ADHD groups differed significantly from the control group in both the pre-cue and early-cue conditions in being less accurate, in having a later onset and duration of pursuit tracking, and a higher frequency of gaze on and off the ball. The use of medication significantly reduced the gaze frequency of the ADHD participants, but surprisingly this did not lead to an increase in pursuit tracking, suggesting a barrier was reached beyond which ball flight information could not be processed. The control and ADHD groups did not differ in arm movement onset, duration and velocity in the short-duration early-cue condition; in the long-duration pre-cue condition, however, the ADHD group's movement time onset and arm velocity differed significantly from controls. The results show that the ADHD groups were able to process short-duration information without experiencing adverse effects on their motor behaviour; however, long-duration information contributed to irregular movement control.
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We propose alternative approaches to analyze residuals in binary regression models based on random effect components. Our preferred model does not depend upon any tuning parameter, being completely automatic. Although the focus is mainly on accommodation of outliers, the proposed methodology is also able to detect them. Our approach consists of evaluating the posterior distribution of random effects included in the linear predictor. The evaluation of the posterior distributions of interest involves cumbersome integration, which is easily dealt with through stochastic simulation methods. We also discuss different specifications of prior distributions for the random effects. The potential of these strategies is compared in a real data set. The main finding is that the inclusion of extra variability accommodates the outliers, improving the adjustment of the model substantially, besides correctly indicating the possible outliers.