Sentence examples for mathematical models generated from inspiring English sources

The reproduction and death rates for the visualization are based on mathematical models generated from the analysis of samples from Cape Cod.

Numerical optimization procedure using the desirability approach was used to develop an optimized formulation and thereby validate the mathematical models generated.

The close agreement of the experimental and the predicted values proved the validity and the robustness of the mathematical models generated.

The mathematical models generated in this work can be used to predict efficiency values as a function of the operating parameters: PET fiber length and percent volume of PET fiber.

Mathematical models generated using multiple linear regression analysis (MLRA) and analysis of variance (ANOVA) indicated that both the formulation variables studied exerted a significant influence (p < 0.05) on the response parameters.

P value obtained for the model was <0.001, indicating that the mathematical models generated were highly significant.

Instead of relying solely on assay development experience and intuition to improve assay sensitivity, this systematic approach takes advantage of a predictive mathematical model generated through response surface methods that defines a specific path towards greater predicted assay sensitivity.

The mathematical model generated during CCD implementation was validated by conducting experiment on given optimal medium setting.

Furthermore, simulations made with a human thymic epithelial network using the same mathematical model generated similar profiles for temporal evolution of thymocyte developmental stages.

Our mathematical model generated a QDA score for each subject and a ROC curve for determining its sensitivity and specificity for identifying patients with cancer (Fig.  5).

In order to demonstrate the applicability of spectrophores in the domain of virtual screening, mathematical models were generated from the spectrophores, and these models were subsequently used to identify compounds predicted to be inhibitory active against a particular subset of therapeutic targets.