Sentence examples for model predicts relatively from inspiring English sources

It is also found that the method based on the Mori–Tanaka model predicts relatively well viscoelastic properties.

Comparative results show that the present model predicts relatively accurately the evolution of void volume fraction, void aspect ratios and void rotation for different initial void shapes, void volume fractions and under different stress triaxiality levels.

The smeared model predicts relatively simple behaviour, in which the only conspicuous features are associated with coincidence effects with the two types of structural wave allowed by the partition model, and internal resonances of the air between the panels.

By contrast, for female workers, the work history model predicts relatively higher wages.

Where the Burano unit is shallow (e.g. around (E=16,mathrm{km}) in Fig. 11), the simulation model predicts relatively high temperatures very close to the ground surface.

The response gain model predicts that attentional modulation is strongest for stimuli with a high contrast, the contrast gain model predicts strongest modulation at low contrast, whereas the additive model predicts relatively constant effects across a range of contrasts once the stimulus has enough contrast to become visible.

At a national scale the model predicted relatively small effects of climate change in terms of spatially and temporally averaged means, but with significant regional variability.

Although climate change models predict relatively minor increases in temperature and precipitation in the Fort Stewart area, our models demonstrate the sensitivity of this salamander population to climate fluctuations and provide climate thresholds, below which, this population would likely not be able to recover.

For T2, the models predicted relatively larger negative changes for type 1 diabetic subjects than for control subjects (lentiform, Pinteraction = 0.013, age slopes: type 1 diabetic subjects −5.11, control subjects −3.17; thalamus, Pinteraction = 0.017, age slopes: type 1 diabetic subjects = −5.25, control subjects = −2.85).

The simulation results show that the 2D model predicts with relatively good accuracy the profile of the pressure drop and the temperature change as a function of the corrugation angle and the function of the corrugation length.

The model predicts that relatively short antibiotic-free time periods are sufficient to re-obtain low MIC-values.