Sentence examples for model behavior with from inspiring English sources

The user-defined DEM contact model behavior with lubrication force is tested using the coefficient of restitution of particle wall collisions and the results are compared with published data.

To determine if the starch degradation model constructed was capable of hosting multiple steady states, and to examine the variability of the model behavior with respect to variation of metabolic pool sizes external to the dynamic core, multiple simulations were run from different initial internal, and fixed external, metabolite concentrations (Tables 1 and 2).

Lastly, when looking at the estimated posterior probability of D T being consistent with one shared divergence (p(D T <0.01| B ε (S∗))), I find the same pattern of model behavior, with M D P P and M U n i f o r m inferring low probabilities across all simulations, M m s B a y e s inferring high probabilities, and M U s h a p e d inferring intermediate values.

Comparing our model behaviors with those established in Perelson et al. [10] and Rong and Perelson [11] without logistic growth, we found that their models would underestimate the number of the latently infected CD4+ T-cells, productively infected CD4+ T-cells and infectious virions.

This is achieved by introducing a specific plane inclined at angles in a specified range determined as a result of matching these models' behavior with behavior monitored in the experimental work at the suspected plane of failure for shear critical beams.

The resulting hybrid model is validated through a serial of model structure tests and model behavior tests, with the use of data collected from a PHP project in Hong Kong.

To evaluate the model behavior associated with this finding, our second hypothesis is as follows: H2o: There is a positive or neutral relationship between organizational STEM worker density and emergent model worker group size average in high-density STEM organizations.

Nevertheless, the following aspects of the model behavior agree with experimental observation.

This model behavior agrees with studies that demonstrate that MMPs are essential for cell migration through 3D ECM matrices (Ghajar et al. 2006; van Hinsbergh and Koolwijk 2008).

The supervisor makes the decision by comparing the local models' behaviors with the one of the plant and selects the controller corresponding to the best fitted model.

Then the elasto-plastic hardening model is proposed and model behavior is compared with experimental behavior of few materials.