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Registros recuperados: 48 | |
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Freitas,Bheatriz S. M. de; Cavalcante,Maisa D.; Cagnin,Caroline; Silva,Richard M. da; Plácido,Geovana R.; Oliveira,Daniel E. C. de. |
ABSTRACT The objective of this work was to perform foam-mat drying of yellow mombin pulp, verifying the kinetics and mathematical modeling of the process, and characterizing the obtained product with respect to physical and chemical characteristics, compared with the fresh pulp. Foam-mat drying was carried out with the aid of the foam agent Emustab®, at temperatures of 50, 60, 70 and 80 °C. The drying data were analyzed and fitted to four mathematical models (Wang & Singh, Verma, Page and Midilli). Effective diffusion coefficient and activation energy were determined. Titratable acidity, pH, soluble solids content and vitamin C content, as well as the solubility in water of yellow mombin powder and color variance (L*, a*, b*) were analyzed in both... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Drying kinetics; Diffusion; Mathematical modeling. |
Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662018000600430 |
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Almeida,Paulo J. A. L.; Vieira,Marcus V.; Kajin,Maja; Forero-Medina,German; Cerqueira,Rui. |
A fundamental step in the emerging Movement Theory is the description of movement paths, and the identification of its proximate and ultimate drivers. The most common characteristic used to describe and analyze movement paths is its tortuosity, and a variety of tortuosity indices have been proposed in different theoretical or empirical contexts. Here we review conceptual differences between five movement indices and their bias due to locations errors, sample sizes and scale-dependency: Intensity of Habitat use (IU), Fractal D, MSD (Mean Squared Distance), Straightness (ST), and Sinuosity (SI). Intensity of Habitat use and ST are straightforward to compute, but ST is actually an unbiased estimator of oriented search and ballistic movements. Fractal D is... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Diffusion; Fractal dimension; Oriented search; Random walk; Search behaviour. |
Ano: 2010 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1984-46702010000500002 |
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Famurewa, John Alaba Victor. |
This study presents the thin layer drying behavior of unripe plantain slices (Musa paradisiaca) in a developed biomass cabinet dryer. The developed dryer provided an environment with an optimum operating temperature between 50 - 700C meant for drying agricultural materials. The use of thin layer drying mechanisms and equations contribute to better understanding of drying food materials. The thin layer drying behaviour of agricultural products was identified based on the mathematical models which describe the heat and mass transfer phenomena of the products. In order to select a suitable drying model, fourteen different thin layer drying models were fitted to experimental data. Fick’s second law was used to calculate the moisture diffusivity with some... |
Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Food Engineering Thin layer; Mathematical modelling; Diffusion; Drying biomass fuel. |
Ano: 2015 |
URL: http://www.cigrjournal.org/index.php/Ejounral/article/view/3028 |
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CHABERT,STEREN; SCIFO,PAOLA. |
Diffusion Magnetic Resonance Imaging provides images of unquestionable diagnostic value. It is commonly used in the assessment of stroke and in white matter fiber tracking, among other applications. The diffusion coefficient has been shown to depend on cell concentration, membrane permeability, and cell orientation in the case of white matter or muscle fiber tracking; yet a clear relation between diffusion measurements and known physiological parameters is not established. The aim of this paper is to review hypotheses and actual knowledge on diffusion signal origin to provide assistance in the interpretation of diffusion MR images. Focus will be set on brain images, as most common applications of diffusion MRI are found in neuroradiology. Diffusion signal... |
Tipo: Journal article |
Palavras-chave: Diffusion; Magnetic Resonance Imaging; Interpretation; Non Gaussian. |
Ano: 2007 |
URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-97602007000500003 |
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Registros recuperados: 48 | |
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