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We also report the mean running times of these searches.
Overall, most of the trained participants had constant mean running times between 2 years.
Mean running times were 13% faster for men (P < 0.001; Table 1).
We reported the mean running times of these searches and plotted ROC curves based on the homology predictions.
Mean running times were influenced by sex, training, and the year in which the run was ran.
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Specifically, the algorithm computing E a,b) has running time poly(1/ε), and if we take explicitness to mean running time polynomial in the input length log(N), we can only hope for error which is 1/polylog(N).
In every age group, mean running time significantly increased, except for women ≥60 years.
With aging, mean running time showed only limited decline of 0.2% per year.
As a result of this increasing participation of elderly people mean running time increased, especially for untrained participants.
Significantly more men (77.7%; P < 0.001) than women and more untrained (89.7%, P < 0.001) than trained people participated With aging mean running time over 15 km increased.
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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