Sentence examples for differing predictions of the from inspiring English sources

It is seen that while both models produce somewhat differing predictions of the SMA response, the difference is not dramatic enough to prefer one model to another.

Hence, the scrambled sentences task offers the opportunity to empirically investigate the nature of mechanisms steering thoughts and emotional response spontaneously and test the differing predictions of the effortful and affect heuristic models.

The per-subject, pairwise differences between best-fitting leak, computed with respect to either coherence or hazard rate, did not differ from predictions of the normative model (median ± bootstrapped SEM normalized data model difference by hazard rate = −0.003 ± 0.021, by coherence = −0.001 ± 0.050, Wilcoxon signed rank p = 0.501 and 0.292, respectively).

This differs from predictions of the simplest ideas for how stars like our Sun should form in these clusters.

In all cases, the results differ from the predictions of the classical equations of chemical kinetics.

Existing kinetic mechanisms differ in their predictions of the oxidative and pyrolysis behavior of pentane isomers.

We also used the models parametrized through the fits of the human infection data to explore how the single and two target cell models differed in their predictions of the effectiveness of antiviral treatment of influenza infections with human or avian strains.

However, these two hypotheses differ entirely in their predictions of the rate of intron gain.

c) The distribution of observed data notably differs from predictions of both models, which imply some age-dependent selection against clones and suggest that genetic diversity of natural asexual complexes may not be explained by neutral processes alone.

Two embedded-atom method potentials for Al, which mostly differ in their prediction of the generalized stacking and planar fault energies, and grain boundary (GB) energies, are used and characterized.

On the other hand, Gaussian and Weibull distributions differ in the prediction of the ceramic material to fracture, thus the selection of one probabilistic model should be in accordance with the design and working requirements of the each product under development.