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The results for the four AUC ROC outcome measures are shown in Fig. 1.
The relevance of the suggested similarity and convergence measures are shown.
Time-of-day weightings used in most existing noise exposure measures are shown to be less than optimal.
The scientific background, the technical methods, and the practical implementation of the recommended prevention measures are shown.
The methodology of the investigations is presented and some of the most important measures are shown in this paper.
All the measures are shown in Table 1.
Descriptive statistics for the measures are shown in Table 2.
The definitions of these measures are shown below.
The error measures are shown in Table 2.
The patterns of means for all learning measures are shown in Fig. 5 by condition.
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The allele frequencies, means and s.d.s of the measures are shown in table 1.
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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