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Dynamic model partition and adaptation-based load balancing solutions have been designed by exploiting common assumptions and model characteristics, in a user-transparent way.
Objective: To illustrate the importance of accounting for exposure model characteristics in two-stage air pollution studies, we considered a case study based on data from the Multi-Ethnic Study of Atherosclerosis (MESA).
Unlike prior reviews, we evaluated reporting of additional model characteristics in depth including testing for model fit, evaluation of convergence, adjustment for covariates or multiarm trials, the specific priors used and availability of the code and aggregated study-level data.
While prior publications focused on the evaluation and reporting of assumptions made within the models, we evaluated additional model characteristics in depth including testing for model fit, evaluation of convergence, adjustment for covariates or multiarm trials, the specific priors used and availability of the code and aggregated study-level data.
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However, these model characteristics may result in A. alba and C. betulus being the only species which are able to out-compete F. sylvatica in terms of ingrowth in the case of increasing CCF if site conditions are not considered.
The model characteristics are provided in Table 1.
General model characteristics are shown in figure 1.
While promising in theory, toxicogenomic comparisons between in vivo and in vitro models are complex due to inherent differences in model characteristics and experimental design.
An introduction to the CGE model characteristics and the data applied in the study are given in Sect. 4.
Accordingly, model characteristics play a vital role in answering the question of which hubs can be considered and to what extent.
They usually attempt to model temporal characteristics in critically warped frequency sub-bands over relatively long windows.
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