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Inputs for the micro-simulation models are derived from literature for comparison between simulation and empirical results.
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The comparison and analysis between the results of simulation and empirical formula show that the simulation is availab1e to predictive the indoor air distribution.
Part of this difference between accuracies obtained from simulation and empirical studies could be explained by the assumptions made in simulation studies on the properties of the QTL that underlie a trait, which may not completely reflect the reality.
Our simulation and empirical studies suggest that the CBPS significantly improves the empirical performance of MSMs by making the treatment assignment model more robust to misspecification.
A new theory based on analysis, simulation and empirical study challenges this predictor of success.
We also provide simulation and empirical results of the application of this procedure.
In simulation and empirical studies, GEBVs based solely on individual genotypes have been remarkably accurate.
Good correlations between simulation and experiment are evident even though empirical models for discharge coefficients and damping have been used.
In addition, by comparing on ΔP between the simulation and the empirical results, it is confirmed the empirical rules of ΔP could be applied to estimate the preliminary values of ΔP on relevant cooling structure.
It is important to note that the smallest 1% of N ^ e using Pcrit = 0.0000 determined from the 100th-ranked positive value was 4134, 5308, and 5846 when N was 10,000, 30,000, and 60,000, respectively, which revealed an anomaly between the simulation results and empirical data estimates of N ^ e.
Perturbations in hyperthermia temperature distributions associated with counter-current flow: numerical simulations and empirical verification.
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