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Jackknife procedure was used to evaluate predictive capability of the models.
Optimized formulation of microspheres was prepared using optimal process variables setting in order to evaluate the optimization capability of the models generated according to IV-optimal design.
The capability of the models has been assessed by comparing the predictions associated with both low and high intensity blast cases with published experimental data.
The simulation capability of the models is validated by comparing the predicted results with measured data from experiments under same bagging testing conditions.
For the models involving empirical or fitting constants, these parameters have been calibrated against the available experimental values, thus to enhance the predicting capability of the models.
We then tested the predictive capability of the models by predicting 30-day sorption/desorption data using kinetic parameters fitted on 1-day sorption/desorption data only.
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The capability of the model is demonstrated.
The prediction capability of the model and the control efficiency are clearly shown.
Model results validate the capability of the model to predict erosion pathways causing sediment connectivity.
The capability of the model to explain the reinforcing mechanism in nanocomposites is discussed.
In addition, the predictive capability of the model equation was also found to be satisfactory.
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