Suggestions(5)
Exact(4)
This phenomenon is in contrast with the most common correlation for polymer degradation, which predicts the existence of an asymptotic (but finite) limit to the reduced drag reduction.
An analysis of the most common correlation functionals, e.g. those introduced by Lee, Yang and Parr and by Perdew and Wang in 1991, will be also carried out.
The most common correlation was positive, and those that showed R values over 0.3 are putative Est1, Hsp70-like, RecQL, Smh6, and Rad51-like.
Given the most common correlation structure, taking four baselines and seven follow-up measures dramatically improves power compared to a single baseline and follow-up; where no baseline is taken, four follow-up measures importantly improves power; however, the marginal value of including additional measures rapidly diminishes.
Similar(55)
The first part was to compare between the extracted RS and the most common Rs correlations to determine the most accurate one.
The most common measure of correlation is the Pearson Product Moment Correlation (called Pearson's correlation for short "r").
For an agitated reactor, the most common gas holdup correlation used is as shown by (11) [ 21– 23].
The idea was to highlight the common features across cities, in order to identify the most appropriate and common correlation structure within each season.
When mosquitoes were separated into the three most common genera, the correlation was positive but not significant for Anopheles (r = 0.44, P = 0.03) and Culex (r = 0.36, P = 0.09) but negative for Mansonia (r = −0.16, P = 0,46).
Table 3 gives the most common situation of moderate correlation between baseline and follow-up measures and high correlation within measures.
This is the most common measure of statistical correlation between two datasets.
Write better and faster with AI suggestions while staying true to your unique style.
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