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Figure 6c represents the comparison of %degradation of methyl violet dye using different amount of photocatalyst.
Table 1 represents the comparison of Q-learning with TCP-AP and TCP ex Machina.
Figure 7 represents the comparison of convergence for best fitness value with respect to the number of iterations.
Table 5 represents the comparison of early termination conditions between the proposed method and Ismail's method [9], which is one of the state-of-the-art methods.
Here, each pair of curves (False Rejection Rate (FRR) and False Accept Rate (FAR)) represents the comparison of each compressed database against the original database.
Table 2 represents the comparison of the early termination condition between the proposed condition Cond MinSad and Ismail's method [9], which is one of the state-of-the-art methods.
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(D) Plot representing the comparison of MTSET i at different concentration (n = 4 for 0.5 mM and n = 5 for 2.5 mM) in the closed state for mutant channels R297C; histograms are the average ± s.e.m. and circles indicate data from single experiments.
* P values represent the comparison of AUC functions for the symptoms + other factors model vs. the symptom-only model.
** P values represent the comparison of AUC functions for the symptoms + factors + lung disease model vs. the symptoms + factors model.
* indicating the comparison of 1 g vs. s-μ g and ** representing the comparison of s-μ g AD vs. s-μ g MCTS.
Figures 3 and 4 represent the comparison of the female age-adjusted all-cancer incidence rate to the state rate for the years 1988–2007 by county.
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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