205 resultados para canela


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

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Pós-graduação em Genética e Melhoramento Animal - FCAV

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Pós-graduação em Biociências - FCLAS

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Pós-graduação em Engenharia e Ciência de Alimentos - IBILCE

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Pós-graduação em Agronomia - FEIS

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Pós-graduação em Agronomia - FEIS

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

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IDENTIFICATION OF ETHANOLIC WOOD EXTRACTS USING ELECTRONIC ABSORPTION SPECTRUM AND MULTIVARIATE ANALYSIS. The application of multivariate analysis to spectrophotometric (UV) data was explored for distinguishing extracts of cachaca woods commonly used in the manufacture of casks for aging cachacas (oak, cabretiva-parda, jatoba, amendoim and canela-sassafras). Absorbances close to 280 nm were more strongly correlated with oak and jatoba woods, whereas absorbances near 230 nm were more correlated with canela-sassafras and cabretiva-parda. A comparison between the spectrophotometric model and the model based on chromatographic (HPLC-DAD) data was carried out. The spectrophotometric model better explained the variance data (PC1 + PC2 = 91%) exhibiting potential as a routine method for checking aged spirits.

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Regional odontodysplasia is a rare and significant dental malformation. It is a dental alteration of unknown etiology, involving both mesodermal and ectodermal dental components, which present clinical, radiographic, and histologic features. This article reports a clinical case of a 10-month-old child who was diagnosed with regional odontodysplasia in the maxilla, confirmed by radiographic examination, with a follow-up of 5 years. The clinical, radiographic, and histologic features were reviewed.

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Multivariate analyses of UV-Vis spectral data from cachaca wood extracts provide a simple and robust model to classify aged Brazilian cachacas according to the wood species used in the maturation barrels. The model is based on inspection of 93 extracts of oak and different Brazilian wood species by a non-aged cachaca used as an extraction solvent. Application of PCA (Principal Components Analysis) and HCA (Hierarchical Cluster Analysis) leads to identification of 6 clusters of cachaca wood extracts (amburana, amendoim, balsamo, castanheira, jatoba, and oak). LDA (Linear Discriminant Analysis) affords classification of 10 different wood species used in the cachaca extracts (amburana, amendoim, balsamo, cabreuva-parda, canela-sassafras, castanheira, jatoba, jequitiba-rosa, louro-canela, and oak) with an accuracy ranging from 80% (amendoim and castanheira) to 100% (balsamo and jequitiba-rosa). The methodology provides a low-cost alternative to methods based on liquid chromatography and mass spectrometry to classify cachacas aged in barrels that are composed of different wood species.

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Aim: Occupational capacity evaluations have previously been subject to criticism for lacking in quality and consistency. To the authors' knowledge, there is no clear consensus on the best way to formally assess functioning within capacity evaluations. In this review we investigated different instruments that are used to assess functioning in occupational capacity evaluations. Methods: Systematic review of the literature. Results: Though several instruments that assess functional capacity were found in our search, a specific validated instrument assessing occupational capacity as part of a larger psychiatric evaluation was not found. The limitations of the existing instruments on assessing functional capacity are discussed. Conclusion: Medical experts relying on instruments to conduct functional capacity evaluations should be cognizant of their limitations. The findings call for the development and use of an instrument specifically designed to assess the functional and occupational capacity of psychiatric patients, which is also likely to improve the quality of these reports.

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Fil: Gavrila, Canela Constanza. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación; Argentina.

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Fil: Balbuena, Yamila. Universidad Nacional de La Plata. Facultad de Humanidades y Ciencias de la Educación; Argentina.