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One DCS modeling framework involves a collection of joint sparsity models (JSMs) [5].
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Therefore, we collected and integrated multiple forms of data into a modeling framework involving flux balances of glycolysis, detailed chemical kinetics based on reaction mechanisms and parameters measured, physico-chemical constraints from thermodynamics and mass conservation, metabolic control analysis, and Monte Carlo sampling of parameter space.
The results show that the bridge information modeling framework can potentially facilitate the integration of information involved in bridge monitoring applications, and effectively support and provide services to retrieve and utilize the information.
"This study is highly valuable as it shines a bright spotlight on just how important water is for the uptake of carbon by the biosphere," says Chris Schwalm, an associate scientist at Woods Hole Research Center and an expert in global environmental change, carbon cycle sensitivity and modeling frameworks who was not involved in the study.
The aim of this paper is to present and validate a modeling framework that can be used for simulation of industrial applications involving fluid structure interaction with large deformations.
Generalised additive models provide a well suited modeling framework for uncovering trends in potentially non-linear multivariate data.
The above probabilistic modeling framework that incorporates multiple motif models can be viewed as an extension of a framework proposed in [42].
Because the CDEN is based on the MLP, nonlinear relationships, including those involving complicated interactions between predictors, can be described by the modeling framework.
The modeling framework consists of two-coupled programming models.
The NETWORK component models the metabolic network using the constraint-based modeling framework [ 3].
In addition, this modeling framework can be efficiently integrated into multiscale models.
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