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In contrast to the Golden Spike dataset (Fig. 8), the performance concerning true and false positives resulting from the different normalization methods was much more comparable.
The effect of ignoring the stereochemistry information (Ch-I methods) was much greater.
It can be seen that the performance of our methods was much closer to the ALL line which represents the maximum number of malicious PDF files that can be acquired each day.
Consequently, in thinned stands, the harvester operated within stable work cycles in terms of the number of activities per single work cycle, and the difference in work times between the standard calculation method, snap-back timing PSION and the two cumulative timing methods was much smaller than that in the clear-cutting operations.
The congruence between these methods was much higher at the group level with group separation values of 95% for the relationship between MLVA and spa-sequence type grouping and 89% for that of MLVA and PFGE.
While a number of the sequence-based methods were able to report a high prediction accuracy, the results from an assessment study showed that the performance of three evaluated methods was much lower on an independent test set [ 27].
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The computer intensive methods are much better than randomized designs.
Every smuggler likes to say their methods are much more humane and professional than those of their rivals.
However the implementation of such methods is much more involved than the standard H-matrix representation.
The performance of the proposed method based on passive methods is much more appropriate than that of previous methods.
Experimental results confirm that our proposed methods are much better.
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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