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The resulting models successfully predicted diet-induced changes in body weight and blood glucose levels, although the predictive power for cytokines profiles was relatively poor.
Results showed that all the initial models successfully predicted SOC and TN.
Simulations with both turbulence models successfully predicted the hydrodynamics of the reactor.
The detailed models (GRIMECH3.0, & UBC MECH2.0) and 4-step models successfully predicted the combustion while global model was unable to predict any combustion reaction.
The PLS-R's most suitable models successfully predicted soil properties (R2 > 0.80; ratio of performance to deviation (RPD) > 2.0), including sand silt clay content, NH4, NO3−, and pH.
The models successfully predicted smooth specimen crack-face interference-free fatigue lives and gave reasonable estimates of the smooth specimen endurance limits of crack-face interference free tubular tests run at intermediate strain ratios (λ = 3/4, 3/2, and 3).
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It is observed that models successfully predict the relation between initial concentrations to the responses.
Transport and kinetic parameters are estimated from experiments, and both models successfully predict concentration measurements in some of the set of experiments.
The models successfully predict the creep behavior in the static loading range of 0.03 0.07 MPa, together with a retardation time distribution function, suggesting that the materials are linearly viscoelastic under the test conditions.
Although there are currently no generally accepted criteria for validating/qualifying/verifying PBPK models, the results of visual prediction check revealed that our PBPK model successfully predicted APAP PK and metabolism in adults and all pediatric age groups.
The model successfully predicted radiation types for 23 out of 24 samples, a prediction accuracy of 96%.
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