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When a reasonable match between the numerical result and the empirical formulas was obtained, the finite element modeling could predict the state of stresses and strain within the rock that could be used for evaluation of wellbore stability.
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Our prediction model could predict the primary outcome, one-year U-RTW, in 'intermediate' and 'high' risk patients, but with less precision in 'low' risk patients.
The initial prediction result indicated that the established model could predict the hot cracking rate adequately within the range of welding parameters being used.
For a decision threshold of 0.33, sensitivity and negative predictive values were 100%, which indicated that this model could predict insignificant fibrosis with the highest accuracy.
The comparison between the SVM predictions and the CFD results showed that the SVM models could predict the numerical data with a good accuracy.
The extended model could predict the indentation loading and unloading response accurately and provided improved predictions of the residual state.
A visual predictive check per study did, however, show that the present model could predict EPS after haloperidol both in the open-label study and when used as comparator (data not shown).
Similarly, the model could predict the experimental data for nickel/zinc catalyst system well.
Both proposed models could predict bed shear stress values very close to experimental data.
The multiple linear regression equation models could predict 91.7, 90.9 and 94.8% of each response, respectively.
It was shown that that the proposed SVR model could predict the golden time accurately.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com