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The two-class model showed very good classification accuracy (Entropy = 0.964; Posterior Class Probability = 0.994 0.987).
The developed ANN model showed very accurate prediction when compared with test data.
The results of the modified MELCOR model showed very good agreements with most of the experimental data within ±30% error.
The deformation predicted by the FE simulation incorporating the ductile damage model showed very good agreement with experimental observations.
The blood skin barrier model showed very strong results, with all of the top 5 R2 values above 0.95, which is very good.
Nevertheless, there was no revelation as regarding to a side, whether size affects innovation and which way as our model showed very weak relationship.
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But generally, the model shows very little movement since June in the most highly contested states.
The framework is general, and the current model shows very good results correlating and modeling EMC.
The calibrated model shows very good agreements between the predicted and measured hydrogen production rates.
Moreover, this solution technique for the first-order volume reaction model shows very good accuracy.
The model shows very good agreements with the FEA data for both steel materials.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com