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Adequacy of obtained mathematical models was confirmed by ANOVA.
The accuracy of these developed models was confirmed through validations against the reported test results.
The performance of optimum RBFNN models was confirmed by independent verification test with 15 samples.
Validation of the proposed numerical models was confirmed by comparing simulated results with measured data.
Notably, the predictive power of our models was confirmed by the analysis of a large external dataset of compounds with reported activity on the central nervous system (CNS) or lack thereof.
Moreover, the superior efficacy of 14c in various carbohydrate tolerance tests in diabetic rat models was confirmed compared with acarbose, an α-glucosidase inhibitor (α-GI) widely used in the clinic.
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The above models were confirmed by all the experiments.
After statistical analysis and verification experiments, the significance and validity of the models were confirmed.
The significance and validity of the models were confirmed by statistical analysis and verification experiments.
The analytic models are confirmed to accurately reflect the SCTP behavior.
The significance and adequacy of the models were confirmed by statistical analysis and experimental verification.
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