294 resultados para métodos de detecção baseado em modelos


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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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The dental professionals are exposed to many risks of development of occupational diseases and the musculoskeletal disorders in the upper limbs are the most common disease. This problem may result in lower productivity and / or early retirement. Therefore, early diagnosis should be done through a reliable and valid system of risk assessment. Because of that, this study set out to conduct a review of the literature on methods of risk assessment of musculoskeletal disorders in the upper limbs in dental professionals. Conclusion: It was concluded that the available methods for assessing the risk of musculoskeletal disorders in dentistry are self-reports, observational and direct. Among these methods, the self-reports were frequently used to detect the risk of musculoskeletal disorders among dentists, dental students and professionals from the dental team. Further studies should be performed in dentistry using observational and direct methods.

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

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

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Engenharia Mecânica - FEIS

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Pós-graduação em Ciência Animal - FMVA

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Blooms of phytoplankton can be a risk to human health and aquatic biota, so the adoption of monitoring methods of phytoplankton and mechanisms for preventing its occurrence are needed. Thus, traditional monitoring methods could be more effective if complemented by approaches using the optical properties of phytoplankton pigments by means of Remote Sensing. In order to evaluate the potential of multi-scale remote sensing for detection of the phytoplankton activity, a study area was selected in Nova Avanhandava reservoir, located in the Tiete River, SP. For this analysis, hyperspectral field data and multispectral images of low and medium spatial resolution (Modis and RapidEye) were acquired and were related to indicator limnological variables of phytoplankton behavior; chlorophyll a and phycocyanin. The results show that a specific spectral band of RapidEye system (690-730 nm) allowed detect chlorophyll a and to evaluate the phytoplankton biomass, however hyperspectral data are needed to detect the phycocyanin pigment, indicative of cyanobacteria.

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