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Each of these modeling frameworks is available for review (U.S. EPA 2009) and has been extensively evaluated (Ambrose et al. 2005; Brown et al. 2007; Knightes 2008).
As discussed in the Background section, collaboration amongst laboratory scientists working in different areas of complex biological processes and the accessibility to modeling frameworks is key to new discoveries using the systems approach.
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For nonlinear PLS models, a kernel PLS (KPLS) modeling framework is utilized.
An optimal temporal reduced order modeling framework is proposed for nonlinear dynamical systems.
An advanced DFN modeling framework is applied, accounting for fractures mechanical interactions.
An adaptive surrogate modeling framework is developed to locate the lowest reliability value within a multi-dimensional interval.
A finite element modeling framework is proposed for the sandwich composite comprising continuum damage, cohesive layers and crushable foam model with isotropic hardening for the core.
A systems modeling framework is presented, with integrates engineering criteria, life-cycle environmental data, aircraft fleet stock and fuel use models under different AM adoption scenarios.
The computable general equilibrium (CGE) modeling framework is one of the best possible ways to analyze ex ante the economic consequences of multilateral and bilateral trade agreements.
Further support for the choice of modeling framework is given by the significant correlations between the unobservables in the choice equations.
Considering the discrete ordinal nature of injury severity categories, a Mixed Generalized Ordered Response Probit (MGORP) modeling framework was developed.
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