Sentence examples for models we predicted from inspiring English sources

To show the different predictions from these models we predicted the change in body weight during total starvation for an obese 100 kg, 1.64 m tall female aged 35 (BMI=35.2).

To demonstrate the utility of these coupled growth and wood density models, we predicted the growth and wood density for stands growing at three different sites: (1) southern South Island (MAT = 8 °C); (2) northern South Island (MAT = 10 °C); and (3) North Island (MAT = 12 °C).

Averaging across these four models we predicted that the probability of Eucalyptus regeneration was highest (0.95) in relatively unmodified remnant native vegetation, that is, remnant vegetation on public land where grazing was light and the understorey was dominated by native plants.

To explore how normalization would affect the performance of the two models, we predicted target concentrations using GLAM, but beginning with the quantile normalized signal intensities used by Abdueva et al. [4] (Figure S1).

Using the first two weekly models, we predicted dengue incidence three and four weeks in advance, respectively.

From these models, we predicted WB from DBS values of 4%, 77 %, 7.5 % and 10%% and in addition, obtained 95%% prediction intervals for all days.

Finally, using sequence-threaded homology models, we predict and validate key residues essential for Fan1 activity in ICL repair.

Using the parameters estimates of the models we predict the log-ratio of RRR and RRSR as well as RRSR for sample sizes between 100,000 and 500,000 individuals and the number of SNPs between 100,000 and 500,000.

After estimating the probit model, we predicted the propensity scores and the common support region.

Applying the CFD model, we predicted the local yielding rate of nanotubes along the axis of the reactor.

Using computational modeling, we predicted the dosimetric impact of post-treatment 90Y PET/CT-guided percutaneous ablation of the portions of a tumor receiving the lowest absorbed dose.