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Main effects showed that growing up Black predicted CRP and hypertension elevations, despite controlling for neglect and childhood family and neighborhood poverty and their interactions.
The results of the main effects showed that the three studied factors significantly affected phenol removal by R. stricta carbon with 95%% confidence level.
Analyses of simple main effects showed pain tolerances were higher in the CNT group compared to both the CTH-S group F 1,46) = 3.77, P < 0.05, and the CTH-N group F 1,46) = 4.10, P < 0.05.
Analyses of simple main effects showed a greater decrease in pain detection thresholds during task in the CTH-S group compared with both the CNT group F 1,46) = 4.43, P < 0.05, and the CTH-N group F 1,46) = 13.98, P < 0.01.
Analyses of simple main effects showed pain ratings increased during the task in the CTH-S group compared to both the CNT group F 1,26) = 4.13, P < 0.05, and the CTH-N group F 1,24) = 13.15, P < 0.01, while overall pain ratings were higher in the CTH-S compared to the CNT group F 1,26) = 6.03, P < 0.05.
Post-hoc tests of simple main effects showed that the effect of target was significant when eight stimuli were presented, F 1, 10) = 10.45, p = 0.009, η2 = 0.511.
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Analysis of main effects shows that the oil viscosity, connate water saturation and the horizontal permeability are the 3 deciding factors in oil production.
The main effects show consistently that the percentage of international co-authors in an author team is positively related to publication success.
The numerical analysis of the results in the factorial design leads to Pareto chart of the standardized main effects shown in Fig. 1.
For the left IFG seed, we found group main effects showing stronger connectivity for nonimpaired readers between left IFG and left MTG, and left IFG and left SMA.
As the adjusted means for the main effects show, physical HRQL is lower in the presence of obesity, depressed mood, or diabetes, respectively (the pattern underlying the significant three-way interaction will be described in the next paragraph).
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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