484 resultados para qualidade total
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Pós-graduação em Agronomia (Energia na Agricultura) - FCA
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Pós-graduação em Odontologia Preventiva e Social - FOA
Produção e qualidade do leite e da carne de caprinos anglo nubianos suplementados com óleos vegetais
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Pós-graduação em Zootecnia - FCAV
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Pós-graduação em Zootecnia - FCAV
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Pós-graduação em Medicina Veterinária - FMVZ
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Pós-graduação em Microbiologia Agropecuária - FCAV
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Pós-graduação em Zootecnia - FCAV
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Agronomia (Ciência do Solo) - FCAV
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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The X-ray fluorescence analysis (XRF) is an important technique for the qualitative and quantitative determination of chemical components in a sample. It is based on measurement of the intensity of the emitted characteristic radiation by the elements of the sample, after being properly excited. One of the modalities of this technique is the total reflection x-ray fluorescence (TXRF). In TXRF, the angle of refraction of the incident beam tends to zero and the refracted beam is tangent to the sample-support interface. Thus, there is a minimum angle of incidence that there is no refracted beam and all the incident radiation undergoes total reflection. As it is implemented in very small samples, in a film format, self-absorption effects should not very relevant. In this study, we evaluated the feasibility of using code MCNPX (Monte Carlo N - Particle eXtended), to simulate a measure implemented by the TXRF technique. In this way, it was verified the quality of response of a system by TXRF spectroscopy using synchrotron radiation as excitation beam for a simple setup, by retrieving the characteristic energies and the concentrations of the elements in the sample. The steps of data processing, after obtaining the excitation spectra, were the same as in a real experiment and included the obtaining of the sensitivity curve for the simulated system. The agreement between the theoretical and simulated values of Ka characteristic energies for different elements was lower than 1 % .The obtained concentration of the elements of the sample had high relatively errors ( between 6 and 60 % ) due mainly to lack of knowing about some realistic physical parameters of the sample , such as density . In this way, this result does not preclude the use of MCNPX code for this type of application
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Pós-graduação em Engenharia Civil - FEIS
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Introduction: Oral health can affect quality of life, and the OHIP-14 index (Oral Health Impact Profile) is useful for evaluating this impact. Objective: to investigate the impact of oral health conditions on the quality of life of patients over 50 years, assessing, initially, the consistency of the short form of the Oral Health Impact Profile index (OHIP-14). Material and method: A cross-sectional study was performed among 149 patients of two public institutions for routine dental (UNESP) and medical practice (Municipal). They were interviewed using the OHIP-14 formulary, assessing its internal consistency (Cronbach´s alpha coefficient) and the OHIP-mean (additive method). The patients were distributed according to sex, age, and education level. The comparisons of interest were made using Student´s t test at a 5% level of significance. Result: A total of consecutive patients (n = 149) participated of this study (87% response rate). Cronbach´s alpha coefficient was 0.78, denoting a good consistency of the OHIP index. The OHIP mean was 4.98. The most prevalently affected OHIP domains were dimensions of physical pain: painful aching (11.40%) and uncomfortable eating foods (21.50%). There was non-significant difference (p > 0.05) between the mean OHIP value in relation to each of gender, age, and education level. Conclusion: The OHIP-14 is a reliable instrument of assessing oral health-related quality of life, and among patients under routine practice, it was found a low impact of oral conditions on their quality of life in the studied institutions (UNESP and Municipal).
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)