6 resultados para 010402 Biostatistics

em Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho"


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OBJETIVO: Especificar e quantificar as principais falhas técnicas, sejam elas eletrônicas ou mecânicas, presentes em radiografias convencionais de tórax, com o intuito de melhorar a sua qualidade e reduzir a necessidade da repetição dos exames e, consequentemente, a dose recebida pelo paciente. MATERIAIS E MÉTODOS: Foram selecionadas e avaliadas por um pneumologista 897 radiografias convencionais realizadas ou em projeção posteroanterior ou lateral em cinco instituições de saúde da cidade de São Paulo. em cada uma delas foram feitas análises das falhas técnicas presentes, as quais foram classificadas de acordo com o erro técnico radiográfico pré-definido e que levou à repetição do exame. RESULTADOS: Os resultados obtidos mostraram que o posicionamento incorreto do paciente (27%), a subexposição (23%) e a superexposição (15%) foram as principais falhas que contribuíram para a repetição dos exames e que apresentaram, na matriz de coeficiente de correlação Pearson, um erro acima de 0,7%, ocasionando aumento da dose recebida pelos pacientes. CONCLUSÃO: Os resultados observados indicaram a necessidade da realização de controle de qualidade dos aparelhos de raios X, a atenção do operador do equipamento, bem como outras abordagens para esclarecer o impacto da necessidade de repetição do exame.

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In this study, the attitudes of students and teachers at the Faculty of Pharmaceutical Sciences of Araraquara (UNESP University) towards Biostatistics were assessed. The Survey of Attitudes Toward Statistics (SATS) scale was used as the measuring instrument. The reproducibility of the scale was estimated by Cohen's Kappa (κ) coefficient with linear weighting and its internal consistency by Cronbach's alpha coefficient (α). The individuals were first placed in two groups, according to their positive or negative attitude toward Statistics; then, the association of their attitude with the variables of interest was tested by the chi-squared (χ 2) test at a significance level of 5%. The sample consisted of 272 undergraduate students, 83 graduate students and 24 teachers, predominantly female (78.2%). Among the students, 67.5% participated in the scientific research initial training program. Reproducibility and internal consistency of the scale were adequate (κ=0.7093; α=0.9334). Most of the subjects (74.4%) had a positive attitude toward Statistics. Significant association was found between attitude and functional activity (p=0.0204), the course taken (p=0.0316) and effort (p=0.0002). Thus, it was concluded that the great majority of the participants had a positive attitude towards Biostatistics and that undergraduate students and those who reported good performance in Biostatistics showed a significantly higher proportion of positive attitude than the other students.

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Feathers are rich in amino acids and can be employed as a dietary protein supplement for animal feed. Microbial degradation is an alternative technology for improving the nutritional value of feathers. Other potential applications of keratinase include use in the leather industry, detergents and medicine as well as the pharmaceutical for the treatment of acne, psoriasis and calluses. A new keratinolytic enzyme production bacterium was isolated from a poultry processing plant. To improve keratinase yield, statistically based experimental designs were applied to optimize three significant variables: temperature, substrate concentration (feathers) and agitation speed. Response surface methodology demonstrated an increase in keratinolytic activity at temperature, agitation speed and substrate concentration of 26.6°C, 150 rpm and 2%, respectively. Liquid chromatography revealed the release of amino acids in the Bacillus amyloliquefaciens culture broth, thereby demonstrating the potential of feather meal in the animal feed industry. © Global Science Publications.

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Random regression models have been widely used to estimate genetic parameters that influence milk production in Bos taurus breeds, and more recently in B. indicus breeds. With the aim of finding appropriate random regression model to analyze milk yield, different parametric functions were compared, applied to 20,524 test-day milk yield records of 2816 first-lactation Guzerat (B. indicus) cows in Brazilian herds. The records were analyzed by random regression models whose random effects were additive genetic, permanent environmental and residual, and whose fixed effects were contemporary group, the covariable cow age at calving (linear and quadratic effects), and the herd lactation curve. The additive genetic and permanent environmental effects were modeled by the Wilmink function, a modified Wilmink function (with the second term divided by 100), a function that combined third-order Legendre polynomials with the last term of the Wilmink function, and the Ali and Schaeffer function. The residual variances were modeled by means of 1, 4, 6, or 10 heterogeneous classes, with the exception of the last term of the Wilmink function, for which there were 1, from 0.20 to 0.33. Genetic correlations between adjacent records were high values (0.83-0.99), but they declined when the interval between the test-day records increased, and were negative between the first and last records. The model employing the Ali and Schaeffer function with six residual variance classes was the most suitable for fitting the data. © FUNPEC-RP.

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