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We evaluate this assumption in the DSPR, because the evaluation results hold similarly for the AIL and the DO.
However, minimal objective knowledge exists to evaluate this assumption.
We evaluate this assumption by defining three time-shifted indices by modifying Eqs.
To evaluate this assumption, we compared industry-generated reports of landed catch to independent observer estimates.
To evaluate this assumption first we postulate a series of hypothesis and expectations for each locale, considering the main post-depositional agents present in them, and we evaluated if the patterns of material distributions can be explained by one or many of those processes.
A virtue of our experimental design is that it allows us to explicitly evaluate this assumption.
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Evaluating this assumption is rather controversial.
We evaluated this assumption by using a second-order conditioning procedure.
We evaluated this assumption with an analysis of the AtGenExpress Arabidopsis developmental microarray gene expression data [ 60].
Furthermore, we evaluated this assumption by examination of the biological interaction between genetic markers at locus 1p13.3 and high serum LDL-C because they contribute to the same underlying pathogenesis that leads to atherogenesis and CAD.
We evaluated this assumption looking at two factors: 1) whether members of the cliques are known to function as a module based on literature, and 2) whether the members of the cliques have shown physiological or genetic interactions in previous experiments.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com