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Figure 4 shows that our model provides the most precise estimation among all the models.
However, our model provides a better mechanism to alleviate the staircase effects and curve-like artifacts.
Our model provides a similar ways to force gradient to be close to an approximation.
Our model provides a more accurate picture of the effectiveness of hierarchical problem solving.
Our model provides a valuable tool to unravel the pathogenesis of MLL-AF4 leukemogenesis.
Our model provides an effective way to improve the reliability of computer systems.
Our model provides the supplier and the customer increased flexibility in achieving target availability.
Our model provides the flexibility to model different kinds of dynamics in FX rate.
Third, our model provides conditions under which second-stage prices could be higher or lower than the first-stage prices.
Our model provides rationales for this phenomenon, and may explain cases of negative selection of return migrants.
Our model provides specific predictions on what additional interventions would yield a significant improvement over PI3K inhibition alone.
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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