Sentence examples for increased weight for from inspiring English sources

The advantage of an increased weight for an increased dominance rank amongst males has been seen in species with sexual dimorphism and aggressive competition between males, such as red deer Cervus elaphus [ 29], Alpine ibex Capra ibex [ 30] and fallow deer Dama dama [ 18].

Female offHFD maintained increased weight for a further 3 weeks, whereas blood glucose levels remained increased only for a week post weaning.

For example, higher prenatal exposure to DDE has been associated with greater male height and weight adjusted for height at puberty and increased weight for height in peri-pubertal girls [ 8].

The worsened adherence with increased weight-for-age Z-score and CD4% may reflect decreased motivation to adhere as children regain health and have fewer HIV-related symptoms.[20] The influence of age and sex on adherence was notable.

The risks associated with the variant genotypes did not increase with rising grades of obesity; for example, the risk of NHL did not incline among persons carrying the LEP −2548AA genotype with increasing weight-for-height, from normal weight (OR=1.3, 95% CI 0.9 2.0, P=0.19), through grade 1 overweight (OR=1.5, 95% CI 0.9 2.5, P=0.09), to grades 2 and 3 overweight (OR=0.9, 95% CI 0.3 2.5, P=0.88).

To allow significant perturbations within the binding pocket while preventing the peptide and protein to separate during energy minimization, the refinement step begins with decreased and increased weights for the repulsive and attractive van der Waals term in the energy function, respectively.

Looking at the dinucleotide weighting w (Fig. 8F), one can see an increased weighting for the GT dinucleotide.

Haplotype components were weighted (w) according to its mutability, increasing weight for the components with lower mutation rate.

Example "Reversing the trend of increasing weight for height in children has proven difficult.

In animal studies with high-fat feeding to increase weight for long periods followed by weight reduction, energy expenditure is reduced, suggesting that, in contrast to the effect of weight loss, weight gain may lead to a persistently changed set-point.

Then it increases weights for samples which are misclassified by learner t and reduces weights for samples which are correctly classified by t.