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Good agreement of calculated results with the reference ones in several examples indicates the robustness of the proposed method for solving fluid rigid body interaction problems.
Thus, this brief list of additional examples indicates the critical role of the deiodinases in conferring important local modulation of thyroid hormone responsiveness in vivo to permit the fulfillment of tissue-specific spatio-temporal requirements.
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Numerical examples indicate the effectiveness of the proposed neural networks.
Finally, some numerical examples indicate the accuracy of this method.
These examples indicate the need to enrich their theory of firm boundaries.
These examples indicate the influence of environmental factors on the timing of the birth seasons.
Several other examples indicate the use of multiple plots in a page, for instance the COSMOS observations and WCS Axis grid visualizations.
The examples indicate the potential of mechanistically based models for scale-up and the importance of understanding the dynamics of the granulation process.
These examples indicate the value of the approach as an accurate and stable tool for the simulation of wave propagation in general complex media.
Numerical examples indicate the performance of the convergence and stability.
Taken together, the examples indicate the desirability of allowing for monadic-predicate modifiers in a semantic representation.
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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