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Significant (P < 0.01) phenotypic correlations were either higher than 0.115 or lower than -0.115.
All subscale-to-subscale correlations were either not significant or under 0.491 as shown in Tables 5 and 6.
As these correlations were either not significant or extremely weak, they were not carried forward to the validation set for further analysis.
On the other hand, these correlations were either not significant or extremely weak in human brains as well as in chimpanzee sperms and brains (table 2).
In the path analysis, the significant correlations were either maintained as correlations or determined as direct regression paths implying suggested causal relationships.
Correlations were either determined as accuracy of prediction rp = rMP or as standardized accuracy of prediction rg = rMP/ h calibrated by the square root of heritability [ 10, 31, 32].
Similar(54)
We hypothesize that these correlations are either the result of mixing refugial lineages or differential mitochondrial haplotypes influencing energetics.
Indeed, correlations in mRNA abundance levels have similar predictive power to evolutionary correlations, with evolutionary correlations being either slightly less [ 31] or slightly more accurately predictive of interactions [ 67] depending on the details of the method used.
The parameters of the new correlation are either universal, applicable to all types of rocks, or can be determined from commonly measured petrophysical data.
A geostatistical characterization of moisture (measured as permittivity) in the subbase beneath pervious concrete indicates that significant spatial correlation is either not present or only present at very short distances (<2.5 m).
The peaks of the correlation are either positive or negative, revealing that each neuron shows an individual preference for the sniff phase.
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CEO of Professional Science Editing for Scientists @ prosciediting.com