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Table 1 presents a summary of their attributes, which were divided into four categories: (a) patient demographic attributes, (b) biomedical attributes, (c) operation-related attributes, and (d) PCA-related attributes.
Table 2 presents a summary of these attributes.
A summary of selected attributes appears in Table 1.
Table 5 contains a summary of the attributes of palliative care provision recommended by English-language national policies from OECD countries.
Table 3 presents a summary of the attribute selector techniques.
Table 9 presents a summary of the informative attributes and their ANOVA analysis results.
A summary of the delays attributed to sociodemographic criteria is shown in Table 3.
All articles and tools were reviewed in duplicate for inclusion, and a summary list of attributes was compiled.
Table 9 provides a detailed summary of attribute level algorithm performance.
A summary of all physical and landscape attributes that we evaluated is available online (Schetter 2012, pp. 55 57).> -wrap-foot> Only variables significant at P < 0.05 are shown.
While the visualization of a ranking itself is straightforward, its interpretation is not, because the rank of an item represents only a summary of a potentially complicated relationship between its attributes and those of the other items.
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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