نتایج جستجو برای: joint scaling test
تعداد نتایج: 1056714 فیلتر نتایج به سال:
Objective : To study the correlation between ankle and knee cartilage morphology to test the hypothesis that knee joint cartilage loss in gonarthritis can be estimated retrospectively using quantitative MRI analysis of the knee and ankle and established regression equations; and to test the hypothesis that sex differences in joint surface area are larger in the knee than the ankle, which may ex...
OBJECTIVE To study the correlation between ankle and knee cartilage morphology to test the hypothesis that knee joint cartilage loss in gonarthritis can be estimated retrospectively using quantitative MRI analysis of the knee and ankle and established regression equations; and to test the hypothesis that sex differences in joint surface area are larger in the knee than the ankle, which may expl...
Introduction & Objective: Chronic periodontitis is an inflammatory disease of the tooth supporting tissues by a specific group of microorganisms, leading to progressive destruction of the periodontal ligament. The aim of this study was to evaluate the effect of amoxicillin and metronidazole as an adjunct, after scaling and root planning in reducing pocket depth and clinical attachment loss in...
We examine the ability of radial basis functions (RBFs) to generalize. We compare the performance of several types of RBFs. We use the inverse dynamics of an idealized two-joint arm as a test case. We find that without a proper choice of a norm for the inputs, RBFs have poor generalization properties. A simple global scaling of the input variables greatly improves performance. We suggest some e...
This paper proposes a new methodology to study sequential corpora by implementing two-stage algorithm that learns time-based topics with respect scale of document positions and introduces the concept Topic Scaling, which ranks learned within same scale. The first stage documents using Wordfish, Poisson-based document-scaling method, estimate serve, in second stage, as dependent variable learn r...
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