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Exact(8)
Modeling assumptions play an important role in modeling because they give the physical meanings of the other constraints in a model (i.e., physical phenomenon and boundary condition constraints).
Several studies presented in our review were not suitable for modeling because they did not examine incidence of diabetes across a broad range of A1C values.
A-loop residues beyond (D + 2) were excluded from modeling because they are not in close proximity to the type-II inhibitor-binding site and are often disordered, adopting an ensemble of conformations.
We give special attention to two modeling approaches: network-based modeling and multiscale modeling, because they have begun to show promise in facilitating the process of effective cancer drug discovery.
Aerosol infectivity studies of human volunteers have little information for dose-response modeling because they observed 100% of volunteers to become infected: Exposures were ≥ 16 TCID50 [ 47] and ≥ 17 TCID50 rhinovirus NIH 1734 [ 48].
We were particularly interested in the responses of those students who had not previously done mathematical modeling, because they would be most likely to be directly influenced by the experience of taking the course.
Similar(52)
Error trials in the match condition were not modeled because they were too rare (mean error rate: 5.5%).
Items 8, 10, 11, 13, and 14 were not modeled because they had too high of a "yes" response rate (e.g., greater than 80% of subjects).
(They also surveyed other women, 30 to 65, including models because they sometimes consult for modeling agencies).
This strongly suggests that most reviewers of modeling papers cannot fully evaluate the models, because they do not have the time to replicate them.
Traditional data-driven modeling methods are unable to build easily interpretable process monitoring models because they ignore the useful process knowledge.
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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