Sentence examples for are very well predicted from inspiring English sources
The phrase "are very well predicted" is correct and usable in written English
It can be used when discussing the accuracy of forecasts or predictions in various contexts, such as scientific studies, data analysis, or project outcomes. Example: "The results of the experiment are very well predicted by the theoretical model we used."
Results show that the flame front positions are very well predicted by modeling with the three mechanisms for lean and stoichiometric CH4/air flames and stoichiometric CH4/CO2/air flames.
The influence of wall shear stress, membrane length, particle size, and particle concentration on permeate flux was very well predicted.
The largest countries in terms of patent production, such as Germany and the US, have internationalization profiles that can be very well predicted based upon their sectoral composition.
Laminar flow data not only from this work but also from work from the literature is very well predicted while transitional and turbulent flow data are predicted with less accuracy, requiring improvements on predicting transition points.
As expected from the large concordance, CVP was very well predicted by FIVP in patients with intra-abdominal pressure <14 mmHg.
The threshold τ provides means for removing those chemical compounds which are dissimilar to the query compound q but their activity is very well predicted by some model.
Nevertheless, the spectral behavior and the peak position of the TH is very well predicted by our simple model.
The residual dipolar coupling measurements, which are particularly sensitive to the global shape of the molecule, were very well predicted by the dynamic 3D-structure (χ per restraint <0.5) indicating moreover that the overall shape of the molecule was correct.
For eight phenoxyalkylacetic pesticides, the rate constant kO3 was very well predicted by a two-parameter QSAR model that used EHOMO and the absolute electronegativity (EN) as predictors (r = 0.970; Table S9), but the number of data for the regression was also low.
