990 resultados para P(x)-laplacian Problem
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Nutrition assessment is important during chronic respiratory insufficiency to evaluate the level of malnutrition or obesity and should include body composition measurements. The appreciation of fat-free and fat reserves in patients with chronic respiratory insufficiency can aid in designing an adapted nutritional support, e.g., nutritional support in malnutrition and food restriction in obesity. The purpose of the present study was to cross-validate fat-free and fat mass obtained by various bioelectric impedance (BIA) formulas with the fat-free and fat mass measured by dual-energy X-ray absorptiometry (DXA) and determine the formulas that are best suited to predict the fat-free and fat mass for a group of patients with severe chronic respiratory insufficiency. Seventy-five patients (15 women and 60 men) with chronic obstructive and restrictive respiratory insufficiency aged 45-86 y were included in this study. Body composition was calculated according to 13 different BIA formulas for women and 12 for men and compared with DXA. Because of the variability, calculated as 2 standard deviations, of +/- 5.0 kg fat-free mass for women and +/- 6.4 kg for men for the best predictive formula, the use of the various existing BIA formulas was considered not clinically relevant. Therefore disease-specific formulas for patients with chronic respiratory insufficiency should be developed to improve the prediction of fat-free and fat mass by BIA in these patients.
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Collection : Les Maîtres du livre ; 20
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La investigación sobre el paisaje en zonas urbanas o periurbanas implica importantes limitaciones metodológicas. En el presente estudio, el trabajo se centra en un llano pre-litoral próximo a la ciudad de Barcelona, el Vallès Oriental, profundamente urbanizado en las últimas dos décadas, hecho que condiciona la recuperación de nuevos datos arqueológicos y la implementación de programas de prospección arqueológica. Asimismo, la particular topografía que presenta el llano, caracterizado por unos relieves suaves, ha obligado a adaptar la metodología del análisis arqueomorfológico a este contexto geográfico. El artículo presenta los resultados del análisis arqueomorfológico realizado, que han sido cruzados con la documentación histórica y arqueológica para caracterizar —desde una perspectiva diacrónica— la red viaria, la estructuración territorial y la evolución del poblamiento de esta área y, finalmente, determinar las dinámicas del paisaje en época romana. La investigación sobre la morfología del territorio se ha llevado a cabo a partir de un intenso trabajo de fotointerpretación y análisis de la cartografía histórica en entorno SIG, especialmente útil en un paisaje marcado por las importantes trasformaciones del medio rural. Igualmente, los datos generados en los últimos años por la investigación arqueológica han sido revisados de forma detallada, a fin de contribuir a la planificación de las prospecciones arqueológicas y arqueomorfológicas desarrolladas.
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A wide variety of whole cell bioreporter and biosensor assays for arsenic detection has been developed over the past decade. The assays permit flexible detection instrumentation while maintaining excellent method of detection limits in the environmentally relevant range of 10-50 μg arsenite per L and below. New emerging trends focus on genetic rewiring of reporter cells and/or integration into microdevices for more optimal detection. A number of case studies have shown realistic field applicability of bioreporter assays.
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Differential X-ray phase-contrast tomography (DPCT) refers to a class of promising methods for reconstructing the X-ray refractive index distribution of materials that present weak X-ray absorption contrast. The tomographic projection data in DPCT, from which an estimate of the refractive index distribution is reconstructed, correspond to one-dimensional (1D) derivatives of the two-dimensional (2D) Radon transform of the refractive index distribution. There is an important need for the development of iterative image reconstruction methods for DPCT that can yield useful images from few-view projection data, thereby mitigating the long data-acquisition times and large radiation doses associated with use of analytic reconstruction methods. In this work, we analyze the numerical and statistical properties of two classes of discrete imaging models that form the basis for iterative image reconstruction in DPCT. We also investigate the use of one of the models with a modern image reconstruction algorithm for performing few-view image reconstruction of a tissue specimen.
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Collection : Archives de la linguistique française ; 10
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Collection : Archives de la linguistique française ; 48
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Collection : Archives de la linguistique française ; 110
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Collection : Archives de la linguistique française ; 288
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Collection : Archives de la linguistique française ; 404
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Collection : Archives de la linguistique française ; 61
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Collection : Archives de la linguistique française ; 68
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Collection : Archives de la linguistique française ; 147