نتایج جستجو برای: weight selection
تعداد نتایج: 656815 فیلتر نتایج به سال:
An optimum-sized dog guide weighs 18 to 32 kg and measures 53 to 64 cm in height at the withers when mature body size is attained. Effects of selection index with and without restrictions, independent trait selection, directional selection, stabilizing selection, and negative assortative mating were modeled using data from German shepherd dogs and Labrador retrievers raised by the Seeing Eye, I...
Reproductive and early life-history traits can be considered aspects of either offspring or maternal phenotype, and their evolution will therefore depend on selection operating through offspring and maternal components of fitness. Furthermore, selection at these levels may be antagonistic, with optimal offspring and maternal fitness occurring at different phenotypic values. We examined selectio...
Genetic parameters of mature weight are needed for effective selection and genetic evaluation. Data for estimating these parameters were collected from 1963 to 1985 and consisted of 32,018 mature weight records of 4,175 Hereford cows that were in one control and three selection lines that had been selected for weaning weight, for yearling weight, or for an index combining yearling weight and mu...
There has recently been great interest in applying theoretical quantitative genetic models to empirical studies of evolution in wild populations. However, while classical models assume environmental constancy, most natural populations exist in variable environments. Here, we applied a novel analytical technique to a long-term study of birthweight in wild sheep and examined, for the first time, ...
Decision matrix based methods are perhaps the most popular concept selection approaches used in industry. Although potentially effective and simple to use, they are not without drawbacks. The weighted sum approach that these methods are based on presents serious risks, because it can falsely portray some concepts as being undesirable when in reality they may even be the most desirable. Addition...
Abstract: In this paper a general methodology for minimum weight selection of structural joints is reviewed. The evaluation and selection technique is based on analytical weight formulae for structural joints including different joining technologies for which through the use of Buckinghams Pi-Theorem a complete set of dimensionless similarity parameters is derived. This formal approach offers ...
Feature-weight assignment can be regarded as a generalization of feature selection. That is, if all values of featureweights are either 1 or 0, feature-weight assignment degenerates to the special case of feature selection. Generally speaking, a number in 1⁄20; 1 can be assigned to a feature for indicating the importance of the feature. This paper shows that an appropriate assignment of feature...
INDIVIDUAL SELECTION BASED ON FEMALE PERFORMANCE ONLY WAS CONDUCTED IN FOUR LINES OF MICE: L(+) for increased litter size, W(+) for increased 6-week body weight, L(-)W(+) for a selection index aimed at decreasing litter size and increasing 6-week body weight and L(+)W(-) for a selection index aimed at increasing litter size and decreasing 6-week body weight. A fifth line (K) served as an unsele...
ارزیابی اثر داروی انروفلوکساسین بر فرایند آنژیوژنز با استفاده از مدل غشاء کوریوآلانتوئیک جنین ماکیان
چکیده به منظور ارزیابی تأثیر داروی انروفلوکساسین بر روی فرایند آنژیوژنز، تخم مرغ های نژاد راس (میانگین وزن 4±55 گرم) انکوبه شدند. در روز چهارم انکوباسیون، یک پنجره ی 5/1×1 سانتی متری در محور طولی ایجاد شد و تخم مرغ ها به دو گروه تقسیم شدند (7 تخم مرغ در هر گروه). در روز 7، انروفلوکساسین (mg/ky egg weight 10) در گروه درمان، روی پرده کوریوآلانتوئیک تلقیح شد و گروه کنترل pbs دریافت کردند. سه روز ...
The adaptive lasso is a model selection method shown to be both consistent in variable selection and asymptotically normal in coefficient estimation. The actual variable selection performance of the adaptive lasso depends on the weight used. It turns out that the weight assignment using the OLS estimate (OLS-adaptive lasso) can result in very poor performance when collinearity of the model matr...
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