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Again, don't let yourself get distracted by any of this, in this benchmarking exercise or others.
The discussion below outlines some of the technical difficulties encountered in this benchmarking effort.
In this benchmarking exercise, the participating codes all perform well for isoviscous flow, both sloping and on a horizontal plane (BM-A, B, and C; Figs. 2, 3 and 4).
In this benchmarking study, we have analyzed 24 tumors from 22 patients (Table 1) for a systematic comparison of mutation detection performance of conventional dideoxy- and pyrosequencing against one of the most sensitive sequencing technology, massively parallel sequencing [20].
In this benchmarking test, we created dummy administrative data for in-hospital services containing patient discharge summary data and medical activity logs for 20 different kinds of medications.
In this analysis, binomial regression, an approach found to be robust across a number of scenarios in this benchmarking project, and previously used for this purpose [ 37], has been applied.
Similar(52)
The values obtained in this benchmark are comparable and may serve as a reference to evaluate other friction set-ups.
We submitted in this benchmark four runs.
Hence, shape-based algorithms have a significant disadvantage in this benchmark compared to the methods relying on topological similarity.
The probe radii used in this benchmark however were increased to optimise virtual screening performance (similar to the large scaling factors used in the ElectroShape benchmark).
As can be seen in the radar plot, a very small probe radius used for screening affected the virtual screening outcome in this benchmark significantly.
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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