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The sensitivity of the model was increased by adjusting the pH value.
The accuracy of the optimal MNLR model was increased by 39%and2323% with respect to RMSE and MAE criteria using ANFIS.
Furthermore, after the inclusion of two constructs of moral norms and knowledge as additional intention predictors of the extended TPB model, the predictive power of the model was increased up to 16.4%, which is considerable.
The JF factor of the resulting optimum model was increased by 14 32% compared to that of the base model for Reynolds numbers in the range 0 ≤ ReLp ≤ 500.
When precipitation in the model was increased until it reach the change observed in the 1970s ΔP/P¯= 222%), the resulting increase in streamflow was found to closely match the 1970s hydrological change (ΔQ/Q¯= 45%).
PVPI in this model was increased to 5.6 ± 0.5 at T0 when ARDS was diagnosed (Fig. 1; Table 2), indicating high permeable (rather than hydrostatic) pulmonary edema because it was reported that a PVPI value of 3 can distinguish these two forms of pulmonary edema [24].
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Accuracy of AdaBoost.M2 model is increased when numbers of learning cycles are increased from 50 to 5000.
The results show the expected profit of SC in centralized model is increased in comparison with decentralized model.
Accuracy generally improves as the number of regions used in the model is increased.
The heat transfer rate of the optimum model compared to that of the reference model is increased by about 55%.
The model parameter estimates are usually calculated to minimize the sum of squared errors, such that the accuracy of the model is increased.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com