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I/O modeling is not capable of including endogenous technological progress, whereas the other ex-ante modeling methodologies are able to do so.
First, the numerical and physical CHT modeling methodologies are presented.
In the context of seismic engineering, reliable modeling methodologies are needed to represent the nonlinear dynamic behavior of structures under the effect of the seismic action.
The proposed numerical modeling methodologies are practical and reasonably predict long-term IAB behavior and response under thermal loading.
Although different modeling methodologies are available from literature to examine collision severity as related to various influencing factors, little is known on the relative merits of these alternatives.
In particular, different measures and mathematical modeling methodologies are employed in investigating human genomic diversity (e.g., Jobling et al. 2004; Barbujani et al. 2013; Kaplan and Winther 2013, 2014; Winther 2014).
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Finally, both modeling methodologies were statistically compared by the root mean square error and absolute average deviation based on the validation data set.
The interplay of systems-based design of materials with multiscale modeling methodologies is at the core of materials design.
Molecular modeling methodologies were applied to perform preliminary studies concerning the release of active agents from potentially antichagasic and antileishmanial dendrimer prodrugs.
A major advantage of GDM over other modeling methodologies is that it can fit nonlinear relationships of environmental variables to biological variation through the use of I-spline basis functions (Ferrier et al. 2007).
Finally, future development of the model and other potential areas of applicability for the modeling methodology are discussed.
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