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The first is that when the model uses the level of illness as measured by SOFA scores to predict the course of hospitalized patients with CAP, the predictions are better if information is added regarding how long each patient has been in the hospital than if information is added regarding the acute (previous day) determination of whether the patient is improving or deteriorating.
The predictions are better at higher temperatures because of the temperature gradient inside the particle.
A model validity mechanism then checks if the new model predictions are better than the existing model, and if they are then the new model is utilized within the MPC.
However, the plane stress model predictions are slightly better in the ductile regions while the plane strain model predictions are better along the edge of the interface in the elastic region.
Figure 9 shows that the results based on the merged predictions are better than the results from individual methods, especially for low values of D. For instance, in the case of D = 1, both Ligsite CSC and pattern-based methods predict the binding sites that are within 1Å from the ligand for about 35% of the proteins, while the merged predictions are successful at 46% level.
At all cutoffs, species predictions are better in terms of precision and recall than gene predictions.
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In addition, other things being equal, a phonemic analysis that makes better phonetic predictions is better than one that does not.
Daily predictions were better compared to weekly predictions for all three rivers due to higher correlation within daily than weekly data.
After refinement, predictions were better than random for 86% of the cases, significantly so in 53% of all cases (p<0.05, hypergeometric distribution).
"Compatible with the predictions" is better phrasing.
Because the score was well below 0.5, both predictions were better than chance.
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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