Exact(7)
As we will see in simulation results, this assumption works well for theoretical analysis, which matches numerical results perfectly.
While this assumption works well in many practical applications, it fails to take into account unsteady chemical kinetic effects that occur at low Damköhler numbers.
We will show that this assumption works well in practice.
The alignments are imperfect and also do not cover all positions of the sequences, but we will show that this assumption works well in practice.
This assumption works well for "freezer studies," where no new participant visits occur that might cause extension of primary datasets.
This assumption works well for gardening, which typically occurs at the residence (the exact location of air pollution modeling) but less well for cycling and walking.
Similar(53)
This assumption worked relatively well in the past but in the Anthropocene it is wrongheaded.
This assumption worked fine if comparing the toxicity outcomes of young and elderly patients treated with CHOP or CHOEP chemotherapies.
Given previous work supporting this assumption for OCT data [ 6, 7] and imaging data [ 8, 9], it was not surprising that this assumption worked well.
Sometimes that assumption works to the advantage of the seller.
This extreme assumption works against finding statistically significant differences in the earnings of Indigenous and Mestizos.
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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