We illustrate the capability of a low-fidelity one-dimensional two-fluid model in predicting relevant flow parameters in two-phase particulate systems accurately even under flow regimes involving counter-current flow.
The Memory for Goals model predicts that priming task-relevant information through environmental cues should aid in task resumption.
Specifically, for complex structural materials such as polymer-based nanocomposites (PNCs), there is a strong industrial demand for chemistry/physics-based models and modeling workflows able to predict relevant material properties in an accurate and reliable way.
The model predicts ash cloud trajectories, concentration at relevant flight levels, and deposit thicknesses for both regional and global domains.
Interestingly, the model predicts that CDC25A knockout enhances senescence, an outcome that could lead to a relevant target for intervention in cancer [ 49].
Further, when the robustness of steady states of the T-helper and T-cell activation networks is analyzed, we show that the SIN model predicts low robustness properties in both cases whereas the SIF model predicts more biologically relevant behavior with higher robustness.
The data and resulting model predict that biologically relevant forces may increase localized ECM proteolysis, suggesting a possible role for mechanical force in the regulation of ECM remodeling.
Thus, the demand for computational models capable of describing and predicting relevant aging phenomena to assist design and planning is increasing.
Third, the OLS regressions results are only valid within certain pre-set boundaries which is relevant because the OLS model predicting utility values outside 0.0 and 1.0.
We confirmed that age and sex are relevant variables in an explanatory model predicting fracture incidence.
