Sentence examples for model interaction with from inspiring English sources

This section focuses to describe the impact of human head model interaction with mobile phone handset [8].

We focus on stochastic games, which can model interaction with an adverse environment, as well as probabilistic behaviour arising from uncertainties.

Hypernovae are produced by more than one type of event: relativistic jets during formation of a black hole from fallback of material onto the neutron star core, the collapsar model; interaction with a dense envelope of circumstellar material, the CSM model; the highest mass pair instability supernovae; possibly others such as binary and quark star model.

Our results revealed failure of the SR inhibitor polyinosinic acid to block binding of any live S. aureus strains, suggesting that SR-mediated uptake of a commercial killed fluorescent bacterial particle does not accurately model interaction with viable bacteria.

The integration of TIME Estimates into Spectrum allows for further direct model interaction with Spectrum AIM, which can help improve estimates for the total HIV mortality envelope.

According to the first model, interaction with Bim results in structural perturbation at the N- and C termini of Bax, which then translocates to mitochondria, oligomerizes on the mitochondrial outer membrane and causes MOMP.

As an application, a set of functional metamodels is proposed for dataflows (usable to model continuous behaviors), state-transition systems (usable to model discrete behaviors) and a metamodel for actions (to model interactions with a target platform and concurrent execution).

According to the group's modeling, interaction with solar radiation would have spiraled the resulting dust inward to Earth just as recorded in the ocean sediment.

However, unlike the density model, interaction terms with taxon were not significant, but interaction between ring width and the logarithmic transform of age was highly significant.

We have modelled interactions with age and included these in the final model, so our algorithm takes account of the differential effect of three key variables (family history of diabetes, body mass index, and smoking) at different ages.

From the mechanism and models interactions with high probability between the full-length EWS (or CTD) and Rpb3, between the EAD (NTD fragments) and Rpb5, and between the EAD and the heterodimer complex Rpb4/7 could be predicted.