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A numerical predicting method based on the relative motion principle and the non-inertia coordinate system is proposed to simulate the free pitching motions of supercavitating vehicles in the longitudinal plane.
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Based on such an underlying idea, the following predicted method based on chemical-chemical and protein-chemical interactions was developed.
Then the phenotype of the protein was predicted by the method based on the broken PPI network.
In this study, a segmented predict negative feedback control method, based on the advance proportional control one, is proposed and verified by experiments to overcome the shortcomings of PID temperature control.
The results were predicted using a new method based on the generalized corresponding states principle (GCSP) in which properties of two reference substances were used to predict the superheat limits of the fluids studied.
The phase change of transition metal aluminum nitride (T1−xAlxN; T: transition metal) was predicted by the band parameters method based on the concept of a localized electron theory.
It is shown that, in some cases, the features of the limit cycle flutter obtained by numerical integration can be predicted by the equivalent linearization method based on the second order asymptotic solution of the KBM method, whereas the conventional describing function method fails to do so.
In the model, the input and output data of the evaluated DMUs are predicted by the time series method based on the historical data.
Moreover, Henipavirus NTAIL and PNT are predicted to be disordered by the method based on the mean hydrophobicity/mean net charge ratio [45], whereas PMD and XD are predicted to be ordered (Fig. 3).
Our proposed method identifies a greater number of drug-CCRGs, and drug-CCRGs are much more significantly enriched in predicted drug-CRGs, compared to a method based on the correlation of gene expression and drug activity.
The predicted PPIs are evaluated using a statistical method based on the gold standard [ 16], and the results are satisfying by comparing them with the ones from the methods based on cliques.
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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