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The experimental results analyzed by using these measures exhibit several valuable features.
However, these qualitative measures exhibit variability and must be assessed over long periods of time.
In fact, the two text-analytic measures exhibit the highest correlations (within each data set) and are more substitutable for one another than for the network measures.
For the impulsive noise removal problem (the upper two plots), both measures exhibit a broad but well-defined minimum for threshold parameters t between 3.0 and 6.5.
Among the five discriminative measures in our evaluation, LR, RL, and DR measures exhibit promising discretization performance when they are adopted in our approach.
A numerical convergence study shows that such curvature measures exhibit strong convergence in the continuum limit, when the fitting model consists of polynomials of sufficiently high degree.
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Lastly, the FTA policy measures exhibits significant effect on trade growth.
Although each of the above three measures exhibits certain potential to differentiate malicious manipulations from acceptable ones, we here combine them together to further reinforce this ability.
Regressing the individual cheating levels on subjects' gender and their intellectual achievement measures exhibited no significant differences in cheating between males and females.
In the simple bivariate results, all three measures exhibited significant rise over time, indicating that participants on average are generating larger ranges of acceleration and Wiimote perturbation during learning (see Table 1).
The results showed that, as expected, the friend group differed significantly from the random group for all these measures, exhibiting higher in-degree (Mann Whitney U test p<0.001), higher centrality (p<0.001), higher k-coreness (p<0.001), and lower transitivity (p = 0.039).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com