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In the calculation process, we set a comparison baseline for reducing computational complexity.
To fill this gap, in this work we consider publicly available datasets and perform several experiments in order to set a comparison baseline with traditional techniques.
Both of them are here analyzed from a kinetostatic point of view; in particular, two alternative transmission mechanisms, relative to the inter-finger stage, are solved, in order to set a comparison.
In order to validate the accuracy of predictions calculated with the Emboss pKa set, a comparison of this set, a more recent pKa set [22], and a structure based method (PDB2PQR/PROPKA [23]) was performed.
Since QOL among women post-surgery may not be comparable to women with intact uteri, irrespective of their prolapse status, we did not set a comparison group to assess the changes in QOL over time between the two groups.
Given the possible bias towards single-exon models in the GreenGenie2 training set, a comparison of single-exon models between gg2v3 and FGC07 was performed.
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In order to understand the results of the model, it is important to set a benchmark for comparison.
The cut-off limit was 10 U/ml, set from a comparison between 94 patients with type 1 diabetes and 98 healthy blood donors.
That's a slimmer 11.11 percent of the current corporate install base, using the same data set as a comparison point.
The generation of an ideal historical fire data set allowed a comparison among different methods of estimating fire frequency and fire cycle in terms of associated bias.
The application of each method is demonstrated using a sample wind speed data set, and a comparison of the accuracy of each method is also performed.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com