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The model demonstrates excellent agreement with the p-y responses calculated numerically.
Furthermore, the novel model demonstrates excellent performance in terms of set-point tracking, disturbances rejection and robustness against parameters uncertainties and measurement noise.
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The final adjusted growth curve model demonstrated excellent fit.
Extensive simulations validate the analytical model, demonstrating excellent agreement with the theoretical results.
When compared with the fully coupled PBM DEM model for accuracy and computation time savings, the hybrid PBM ANN model demonstrated excellent agreement with DEM simulations at fractions of the original computational time.
The readmission model demonstrated excellent discrimination and calibration.
Our model demonstrated excellent discrimination without the need for detailed clinical data.
For women, the Medicare model demonstrated excellent discriminatory ability with an AUC of 0.88 (95% CI 0.76 0.99).
Despite this limitation, the APACHE IV calculated using the developed automatic model demonstrated excellent discrimination in predicting hospital mortality.
The model demonstrated excellent discrimination as indicated by the high average c-index and small standard deviation (c-index = 0.88 ± 0.04).
The three-factor CFA model demonstrated excellent fit in the present self-reported data: RMSEA (0.030), CFI (0.974), and WRMR (0.837) (Table 2).
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CEO of Professional Science Editing for Scientists @ prosciediting.com