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Sensory product characterizations elicited with "short" and "long" CATA questions (10 17 terms vs. 20 28 terms) were compared on a number of criteria such as frequency of CATA term use, product differences, spatial configurations (samples and terms) and task perceptions.
When down-regulated GO biological process terms were compared, 2,4DNT and 2,6DNT were more similar than other compounds (Table 7).
In order to confirm that the stiffness was still primarily increased in the direction of the instability of the environment, the ratio of the stiffness increases in the two stiffness terms were compared.
The GO terms were compared and visualized using WEGO [ 31].
The interaction terms were compared and contrasted using the Estimate and Contrast statement in Proc Mixed.
The P-values (with Benjamini correction) of GO terms were compared.
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Several time discretizations of the ODE and PDE are considered, and the resulting truncation terms are compared analytically and numerically.
The frequency of GO terms was compared between all probe sets on the HG-U133A array and probe sets within expression profile clusters.
The P-values of the HSIC terms are compared to the P-values of the linear regression on the interaction term (Fig. 4).
Enrichment of specific GO terms was compared with the background (all D. melanogaster orthologs used) using the DAVID tools (Dennis et al. 2003).
The frequency of these terms was compared to a random sample from PubMed/Medline in order to identify terms specific to nurse staffing research, which were then used to develop a sensitive, precise and balanced search strategy.
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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