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This paper validates the prediction model embedded in a model predictive controller (MPC) of variable speed limits (VSLs).
The prediction about a short experience of stressing condition is confirmed by previously published experiments (Imperato et al. 1992 , 1993, whereas the new experiment here reported validates the prediction concerning a long-lasting experience of the same stressor.
Reciprocally, this proteomic approach validates the prediction algorithms, as it allows to identifying surface proteins as potential vaccine candidates, some of them being hypothetical proteins not found before experimentally.
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Previous work validates the predictions of the here used shape optimization procedure to achieve maximum static strength.
The data in Figure 1D therefore experimentally validates the predictions made in Figures 1A-C.
However, we used Tropsha's validation test to statistically validate the prediction ability of developed model [31, 32].
Key experiments were then conducted to validate the prediction.
Rotational restraint experiments are conducted to validate the prediction equations.
Also, efforts are made to validate the prediction models with the experimental results.
To validate the prediction of the model, additional experiments in triplicate were performed with the optimized medium.
This additional sampling can be used to improve and validate the prediction model.
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CEO of Professional Science Editing for Scientists @ prosciediting.com