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A correct laminar bubble modeling is, therefore, a key step for an adequate prediction of the flow-field around airfoils and wind turbines.
The stress field resulting from a twisting moment is not correctly modeled by classical analytical theories, so numerical modeling is therefore essential.
Modeling is therefore necessary to extrapolate study findings to the longer term.
Agent-based modeling is therefore ideal for addressing complex questions regarding how hosts and pathogens navigate a complex landscape.
Kinetic modeling is therefore a more accurate method for investigating malfunctioning pathways in diseases which can be indicated by the levels of some important molecules that vary significantly from patient to patient.
Computational modeling is therefore a valuable adjunct for inference beyond these short time and space scales, providing mechanistic insight into long range/long duration phenomena such as the relationship between B cell migration patterns and the efficacy of somatic hypermutation (Kleinstein 2002; Meyer-Hermann et al. 2009; Figge and Meyer-Hermann 2011).
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The method of comparative/homology modeling was therefore applied [47].
Uptake and depuration kinetic modeling was therefore performed based on concentrations in pore water.
A growth model is therefore proposed.
The full model is therefore identified.
An appropriate modelling is therefore needed.
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