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By comparing these figures, we can see RTT based on P-CCR has an obvious decreasing trend, compared with the R-Caching strategy.
By comparing these figures with Fig. 3b, we can see that B and (L_C) slightly increased in both cases, and no significant differences existed between them.
By comparing these figures, it is observed that P type plays a significant role in maintaining the diffusion alive with respect to class 2 in which users' interest for the diffused information attains lower values.
By comparing these figures and Fig. 7 (the results of Music 1 with the original length), we can confirm that the separation performance of all the methods improves in proportion to the number of time frames J. Similarly to ILRMA, GGD- and t-ILRMA also suffer from the degradation of separation performance depending on the decrease of J regardless of the heavy tail property.
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By comparing these two figures, the direction estimation results of the three highlighted parts are almost the same.
By comparing these two figures, it is generally accepted that the fractured model shown in Fig. 2a is quite reasonable under certain roof conditions and approximate conditions.
By comparing these three figures, we also can see that with the increasing of comb side chain number m, the χN of DOT increases largely, which corresponds to the lower temperature to microphase separate, i.e., the system becomes more stable.
By comparing these results with that of Figure 4, it can be noted that the two proposed harmonic approaches are less sensitive to decorrelation than the spatial sampling.
By comparing these brake thermal efficiencies values of Figure 5 for 0.05% Cu Nano sample with those in Figure 8, it can be seen that increase in brake thermal efficiency at higher loads is found to be more marked.
We calculated the prevalence of drug use from "leftovers" and drugs "directly from the pharmacy" by using the Eurobarometer data and compared these figures with the same estimates in our study.
Census Bureau officials estimate the number of people undercounted and overcounted by comparing the figures from traditional census taking methods with data derived from a sample of American households.
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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