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Parameters of the best-fit model were predicted from input variables (moisture content, screw speed, nozzle diameter and barrel temperature).
In addition, the O-H stretching frequencies of the model were predicted, in general, to have higher energies than the observed vibrational mode at 3160 cm-1 (although this error is less in the SP-GGA+U calculation, Table 3).
Both these areas of the model were predicted to contain unstructured loops.
The glycosylation sites present in the final model were predicted by using the NetOglyc server [17].
Both global and local components of the model were predicted to be fragile.
Furthermore, the binding sites of residues in the model were predicted and showed in Table 3.
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The 11-inch model is predicted to be the most popular model and will make up 60% of its marketshare.
From the regression analysis, the second-order polynomial model was predicted.
The adequacy of the model was predicted with the ANOVA (P < 0.05) and regression analysis (R 2).
Magnetic fields of a small ship model are predicted and a degaussing system is designed for reducing magnetic detection.
As can be seen GMDH model was predicted a descending trend with increasing the speed of collector, nanofiber diameter decreased, but ANN model shows different slop trend.
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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