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Both models allow a study of the dependence of shape selectivity on several parameters.
The epistemic models allow a rough, knowledge-based estimation of probabilities of damage from abnormal actions.
Despite their similarities, possible world justification models allow a fine-grained analysis that is not possible with Kripke models.
Compared to numerical methods FEM/BEM these analytical models allow a quick and physically based analysis of the vibro-acoustic properties of anisotropic composite plates.
The proposed models allow a more realistic approach of the microalgae gasification process, in comparison with other models where the catalytic effect is often neglected.
Such abstractions of neural mass models allow a deeper insight into underlying dynamic and physiological mechanisms, and also allow the more efficient exploration of large scale brain dynamics in disease.
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Low-order models allow an accurate yet efficient description of this latter part.
Multi-factor models allow an asset to have not just one, but many measures of systematic risk.
Standard cloud payment models allow an explicit costing, which we took into account here through the cost function.
Moreover, these models allow an accurate description of the scale effects observed in some phenomena like micro-indentation.
This modeling approach, combining computational fluid dynamics (CFD) with biofilm models allows a systematic study of biofouling in membrane systems.
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