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Is this one of the examples with the lowest deviations between original and corrected correlation coefficients?
Nine structures were chosen, based on the lowest deviations from the experimental distance and dihedral restraints.
For each modified duplex, eight structures were chosen, based on the lowest deviations from the experimental distance and dihedral restraints.
To obtain an average structure, 10 emergent structures were chosen on the basis of the lowest deviations from the experimental distance and dihedral restraints and were energy minimized.
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The calculated solubility using LC models show that NRTL model presents the lowest deviation from the experimental solubility data.
The station KNYA and ISTA show the lowest deviation (~ 30%) in April and July respectively (Fig. 6a).
Despite all of that, the aforementioned results have the lowest deviation from the intensity and damage measures.
In contrast, both PSF algorithms provided the lowest deviation of SUVmean from reference SUV at SBR1 and SBR2.
However, as shown in Fig. 3b, c, GNQ gives prediction with the lowest deviation up to 753 psi.
Gamma PSD gives the lowest deviation while Gaudin Schuhmann results in the largest deviation (maxi. ∼19%, with CV=0.3) in the first half of dissolution process.
Validation analysis showed the predicted values by RSM and ANN were close to the validation values, whereas the ANN showed the lowest deviation, 2.57%, compared to the RSM.
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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