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The modeling framework used is time-discrete deterministic dynamical systems, with a finite set of states for each of the variables.
Two models that share with our model the assumption that reward affects the initial state of the accumulators were considered in these papers, although the modeling framework used could not distinguish between an offset in the starting place of the accumulators per se vs. an offset in decision criteria.
The general modeling framework used in our study is as follows.
The Petri net modeling framework used in this work has been derived from the seminal work of Chaouiya et al. (2006).
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The computations were carried out in a second-moment turbulence modeling framework using a finite-volume technique.
In this study, we developed a modeling framework using a machine learning approach to predict hydrologic ratios for watersheds located in contiguous United States (CONUS) by utilizing a set of climate, soil, vegetation, and topographic variables.
In addition to item-level t tests, the correlations between teacher and student gains were tested within a multilevel modeling framework using HLM 7 (Raudenbush et al., 2011).
In this paper, LGC models, alone and combined with logistic regression models for the missing data mechanism, were fitted to the dataset in a structural equation modeling framework using Mplus software.
39, 40 All the statistical analyses were performed within a structural equation modeling framework using the Mplus statistical package Version 6.12 with the standard MAR missing data method where missing values are not imputed, but instead parameters and standard errors are estimated from all available data.
The modeling framework is used to estimate the effect of land use, land management, and ecosystem disturbance on C balance in four select vegetation types for the GDS (Fig. 1).
This modeling framework is used to deploy the engineering methodology.
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