نتایج جستجو برای: damage indices
تعداد نتایج: 306929 فیلتر نتایج به سال:
Fermented papaya extracts (FPEs) are obtained by fermentation of papaya by Aspergillus oryzae and yeasts. In this study, we investigated the protective effects of FPEs on mammary gland hyperplasia induced by estrogen and progestogen. Rats were randomly divided into 6 groups, including a control group, an FPE-alone group, a model group, and three FPE treatment groups (each receiving 30, 15, or 5...
Present study was conducted with the objectives of determining the renal vascular resistance in dogs with diabetes mellitus and to study the correlation between the indices of renovascular resistance with glycemic status, systolic blood pressure (SBP) and proteinuria in dogs with diabetes mellitus. This study was conducted on seventeen diabetic dogs and ten apparently healthy dogs. Increa...
Numerous studies have demonstrated oxidative damage in the central nervous system in subjects with Alzheimer disease and in animal models of this dementing disorder. In this study, we show that transgenic mice modeling Alzheimer disease-PDAPP mice with Swedish and Indiana mutations in the human amyloid precursor protein (APP)-develop oxidative damage in brain, including elevated levels of prote...
Introduction: The aim of this study was to evaluate effects of 7 day glutamine supplementation on exercise-induced oxidative stress and muscle damage. Methods: Nineteen healthy, nonsmoking, young men were recruited to participate in this study. Participants were randomized in a double-blind placebo-controlled fashion into 2 groups: Glutamine (G group) (n=9) and placebo (P group) (n=10). Subj...
Understanding the influence of features in machine learning is crucial to interpreting models and selecting the best features for classification. In this work we propose the use of principles from coalitional game theory to reason about importance of features. In particular, we propose the use of the Banzhaf power index as a measure of influence of features on the outcome of a classifier. We sh...
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