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In Table 2 we summarize statistics for PSNRs in Figure 4c,d and as well include results for applying PTM or HSH to each component of RGB separately: to be comparable with dimensionality of 16 for luminance and 9 for chromaticity (for each of two components), making a total of 34 dimensions, here we model R,G,B with 11D each.
To do a sanity check that these features can complement each other, we compute Kendall's coefficient of concordance based on every single DNA sample and summarize statistics over the whole dataset at hand.
Results: Here, we offer a fresh, statistical physics-based perspective focusing on the question of alignment-free comparison, in the process adapting results from 'first passage probability distribution' to summarize statistics of ensemble averaged amino acid propensity values.
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Table 2 summarizes statistics of surface water geochemical dataset.
While the former focuses on summarized statistics that depict average subjects, the latter focuses on general facts of form 'if conditions then restricted outcomes'.
The summarized statistics for individual cases demonstrated that all participants (i.e. 100%) were classified correctly.
Table 2 summarizes statistics for cause-specific hospital admissions.
Results and summarized statistics are presented in the Table.
Table 1 gives some summarizing statistics for these data sources.
Table 1 summarizes statistics for the blood lead database by year.
Table 1 summarizes statistics on contig length, GC content and other characteristics for Groups 1 3.
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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