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In the fourth example, we assess the performance of the proposed method versus the number of snapshots.
In the second example, we assess the performance of the proposed algorithm versus the number of snapshots.
In this example, we assess the results for the molecular ONH dataset, tissue ONH.
In this example, we assess the predicted utility of a nucleotide character for resolving a hypothetical four-taxon tree with an asymmetrical topology.
Using American palms (Arecaceae) as an example, we assess the extent to which Tobler's first law applies to species richness and species composition, two fundamental aspects of ecological community structure.
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For example, we assessed the health impacts of exposure to 35°C (i.e., top 1% of daily maximum temperature) for 2 or 3 consecutive days (HWDs 1 and 4), and also examined the health risk of exposure to 32.6°C (i.e., top 5% of daily maximum temperature) for up to 5 days (HWDs 8 10).
For example, we assessed the difference in the potential predictors of the RRV incidence in coastline and inland regions of Queensland using time-series regression models (Tong and Hu 2002).
For example, we assessed the properties of the high quality R7 chemistry data (termed Full 2D) in the released ONT E. coli dataset [ 6], which comprises reads derived from template and complementary strands.
For a recent example, we assessed the microbial producers of cobalamin (vitamin B12) across a wide collection of 430 metagenomes from aquatic environments by targeting a customized collection of genes specific to the cobalamin synthesis pathway [ 25].
For example, we assessed the potential misclassification of use by redefining exposure as receiving two prescriptions for therapy within a 3-month period, and redefining new user as requiring a therapy-free baseline period of 1 year.
For example, we assessed the predictive validity of the measures at baseline, but could also have assessed the predictive validity of the change values; similarly, while we used responsiveness to initial treatment as the measure, responsiveness in titration might be clinically more relevant, but would be more difficult to measure and less discriminating.
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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