Sentence examples for models for fat from inspiring English sources

This approach was furthermore successfully used to develop new models for fat fractals, if successions of power-law decays are present in the scattering distributions.

Accurate prediction models for fat and total protein content in raw milk have been built on visible and short-wave near infrared spectra (400 1100 nm) of a designed sample set with systematically varied nutrient composition and homogenization degree.

Best performance of PLS prediction models for fat content revealed a coefficient of determination in prediction (R2P) of 0.87 and a root mean square error of prediction (RMSEP) of 2.71% w/w for microwave spectroscopy; in a similar manner, R2P of 0.99 and RMSEP of 0.71% w/w were obtained for NIR spectroscopy.

Models for fat mass outcomes were additionally adjusted for current childhood height.

Several mechanisms were identified in mouse models for fat-bone correlations/interactions and the potential mechanistic links between obesity and osteoporosis, for example, leptin's influence via the sympathetic nerve system [17], [18].

On the contrary, it is with evident pride that he now sets himself up as a model for fat guys with "no faces".

The model for fat loss was in linear and quadratic form, whereas the model for moisture loss was in full quadratic form.

We used the following model for fat bodies collected in 2010: where Y represents the residual from the previous model.

Albanese et al. (2002) suggested that a compartmental model for fat does not adequately capture the concentration profile of TCE in adipose tissue.

Cole et al. [ 25] reported that a heavy-tailed prior (analogous to BayesA) provided a slightly higher GEBV reliability for all nine traits than a finite locus model with heavy tails (analogous to BayesB) and higher than a linear model for fat yield, fat % and protein %.

However, based on real data from dairy cattle, VanRaden et al. [ 2] reported that the predictive ability of a nonlinear BLUP model (a heavy-tailed prior model) was considerably better than a linear BLUP model for fat percentage and protein percentage, while their predictive abilities were similar for 25 other traits.