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The models explained most of the variation in tree mortality around the gaps during the five-year period, accounting for 60 67% of the deviance from null models.
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We developed a new method using the least absolute shrinkage and selection operator to identify which of a small set of hypothesized models explains most of the observed outcome variation.
Overall, our viscoelastic-only model explained most of the horizontal deformation in the central Tohoku district, although some differences were noted in the northern and southern areas of the district.
Although this model explained most of the data, some questions remained.
The model explained most of the variance in the post-methionine load increase in homocysteine (r = 0.69).
The post-1999 PM2.5 model explained most of the variability in monthly measured PM2.5 levels (model fit R = 0.87 and cross-validation R = 0.77).
The final model explained most of the clustering of AST at the school level as shown by the very small ICC of 0.01 (p = 0.718).
The MLP model explains most of the percolation variance in time and space without using any soil information.
With these provisos, the model explains most reports assessing the role of the poly(A) tail in miRNA-mediated repression.
The high R2 values (red) indicate that the power law model explains most of the sample variation across the entire parameter landscape (the data mimic a power law across the parameter space), despite the distribution being drawn from a two-exponential distribution.
Although this model explains most experimental results, there are some that are not consistent with this model.
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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