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The model predicted varied successional pathways for reproducing the observed structural variability of studied forests stands.
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The team's model predicted a 10%to30%0% reduction in storm intensity that varied with the overall strength of the storm.
Overall, our model predicted changes in biofluid metabolome composition due to microbe association (Fig. 2, Table 2), but the prediction accuracy varied with the compared biofluid.
His first model predicted 9,500 cases by May 24, he said.
In contrast, a serial self-terminating (SST) model predicts that R t) will vary with the relative discriminability of the target and distractor.
Because cusp location on a fully formed tooth reflects enamel knot placement and tooth size is limited by the cessation of morphogenesis, the model predicts that cusp expression varies with intercusp spacing relative to tooth size.
Our model predicts that these factors vary considerably depending on the prognostic factors of clinical T-stage, Gleason score, and patient age.
The model predicts that the cake porosity varies with distance from the filter paper, as is observed experimentally.
More generally, a parallel self-terminating model predicts that R t) will not vary as a function of distractor discriminability, and that redundant-target processing will be equally efficient in the experimental designs with and without distractors, that is, C t) and R t) will be equal (Little et al., 2015).
By contrast, the GCA model predicts relative potencies that may vary with effect level.
Figure 3C and E (model) predicts quite striking amplitude changes as the dose is varied.
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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