Sentence examples for predictions that would from inspiring English sources
Unwilling to make predictions that would come back to haunt her later, this would be Featherstone's version of a mission statement, a signal that, as she sees it, the success of the Court ultimately rests with writers.
Although Amgen is not making predictions, that would make an approval possible in 2009 or 2010.
Startups could create an end-to-end farming solution with AI predictions that would be able to move to Africa what used to be waste, for example.
Students may struggle with the predictions that would be consistent with each hypothesis, especially since the differences in the genetic similarity of mung and adzuki beans to black-eyed peas are unknown.
Sensitivity analyses further indicate that only the general properties of the employed desaturation function need to be respected to significantly reduce errors in regional drawdown predictions that would arise if the presence of the near-well gas phase was ignored.
The key challenge was to figure out what the right question was, and then to formulate a model that could both answer it theoretically and lead to predictions that would be testable through observations and experiments with real animals.
The new requirement that New York City's 24,000 restaurants prominently display letter grades for cleanliness has provoked dire predictions that would-be customers will flee when they see a big green B or dreaded yellow C in the window.
The dashed line represents the prediction that would follow from the basic (that is, no micro-processes or external shocks) urn model.
For example, a prediction that would rely on generating molecular dynamics simulations for a peptide of interest is simply not practical.
Values for AUC range from 0 to 1 where one indicates a perfect prediction, 0.5 a prediction that would be no different from random and all values less that 0.5 would indicate poor prediction [48].
Furthermore, there are ethical and legal issues associated with genetic testing and risk prediction that would need to be addressed before personalised programmes could be implemented.
