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Although no simulation study can fully exhaust all possible sources of error, our testing suggests model-based estimates of abundance trends can be fairly robust to model mis-specifications.
Importantly, our testing suggests that while clustering of networks is often motivated by the goal of predicting protein function, if new clustering approaches are evaluated with respect to function prediction, it is important to demonstrate how much, or in which circumstances, improvement is obtained over guilt-by-association approaches.
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But our test suggests that if the company were to start watering down its beer, we might not notice until we were 10 drinks in and still not drunk.
Our tests suggest that the HDes method should be preferred, because it provides a more realistic view on regionalization performance.
Because our tests suggest that lateral resolution in the studied region is not uniform, a single choice of a correlation length may be inappropriate.
No information is available on individuals who did not exit the program by June 2007, but our tests suggest that few participants were omitted for this reason.
Our tests suggest that Ripser is the best-performing library currently available for the computation of PH with the Vietoris Rips complex, and in order of decreasing performance, that Gudhi and DIPHA are the next-best implementations.
Although our tests suggest that the docking results of both models are generally similar, even when the provided default parameters are used, users should be cautious about using the all-atom model with the default parameters.
Our tests suggest that K k/K xy is optimum at 107, and the model domain with little flowline deviation near the model boundaries is 2000 m × 1000 m × 50 150 m.
Our tests suggest a single set of values for the AV parameters which are appropriate in a large number of situations: α≈0.5, β≈1 for the classical AV of Monaghan, α≈β≈0.5 for the Hernquist and Katz AV, and α≈β≈γ/2 for the Balsara AV (where γ is the adiabatic index).
While our tests suggest comparability between the two techniques, there remains the possibility that it may not remove partial volume effect thoroughly.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com