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This new model well predicts many aspects of experimental results.
The proposed model well predicts the global stiffness of the rope.
The model well predicts the consumption of ECH, the growth of aromatics, and the global combustion properties.
On the other hand, LES model well predicts both mean wind speed and turbulent kinetic energy since all large vortices are directly resolved by LES model.
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The comparison between the test results and predictions showed that the proposed analysis model well predicted the actual shear capacities of reinforced concrete beams while the shear design provisions such as ACI 318-14, Eurocode 2, and CSA A23.3 showed significant scatter on the predictions.
The model well predicted the deposition attachment of diverse hydrophilic membranes with different MWCO values.
Through the comparison with the test results of 201 reinforced concrete beams with stirrups exhibiting shear failure before flexural yielding, it was investigated that the developed model well predicted the actual shear strength of reinforced concrete beams with stirrups.
In the 2011 China winter-spring drought event, the statistical model well predicted the spatial extent and severity of drought nationwide, although the severity was underestimated in the mid-lower reaches of Yangtze River (MLRYR) region.
Thus, the model well predicted both geographic and temporal variation.
The inclusion of solvation in the electrochemical model well-predicts the bisulfate and sulfate adsorption potentials.
The comparison shows that the non-iterative condensation model reasonably well predicts the experimental data of Park, Siddique, and Kuhn.
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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