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L. securis increased the complexity of clumps, and such complexity explained a high percentage of variability of macrofauna.
OMI analysis explained a high proportion of variance in the dataset (71.8%) and separated boreal birds along two axes associated with moisture productivity and age structural complexity gradients.
PCA indicated a high degree of association for most parameters with the first PC, which explained a high percentage (>40%) of the variation in the data, suggesting strong statistical relationships among most of the parameters in the system.
The final regression models explained a high degree of variance in predicting isokinetic shoulder flexion (R2 = 0.59) and extension (R2 = 0.67) with a subset of four and five inputs, respectively.
Variation partitioning demonstrated that the pure effect of host and topoclimate factors explained a high percentage (>80%) of the variation.
We demonstrated that a polynomial scale-invariant model explained a high proportion of MGB neurons' adaptation to the standard stimulus.
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It explained a higher in year churn in students at a range of schools.
Comorbidity with migraine explained a higher variance on the physical and pain symptoms compared to a current MDE.
The region RM314 on chromosome 6 explained a higher proportion of phenotypic variation for both leaf rolling and grain yield in drought stress conditions.
The QTL for grain yield under drought near RM8085 on chromosome 1 explained a higher phenotypic variation of 20.9 % in trial 3 of the TPE.
Within the tropical accessions, the European genotypes explained a higher diversity compared to USA accessions (H = 0.32 and H = 0.22 respectively).
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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