Sentence examples for predictions would benefit from inspiring English sources

As a direction for future work, this observation suggests predictions would benefit from including measurements of the social network of the voters to determine the value of F at the time of prediction rather than using an estimate based on the model.

Nonetheless, this prediction rule would benefit from further prospective validation in the future.

Neonics were first introduced in 1994 and usage increased at its fastest rate during the first decade of the 21st century, when farmland butterflies also experienced a precipitous decline, despite a doubling in conservation spending and predictions that climate change would benefit most species.

The induction of putative proapoptotic, cell cycle arrest pathways commonly occurs (IGFBP-3 and CCNG2) and may act to select apoptosis resistance pathways in vivo, and therefore a more comprehensive analysis in clinical trials may help refine predictions of those who would benefit from modulation of hypoxia and the variability in outcome even when using GLUT1.

With our results, future work should focus on the development of appropriately calibrated models for better prediction of risk, which would benefit individual counseling and cancer prevention research.

Therefore, gene prediction in pyrosequencing reads would benefit from further development of models specialized on the accurate detection of short gene fragments.

This is already being considered in the development of near-term climate predictions in real time34, which would benefit from the feedback of an increasing number of users of this rapidly evolving source of climate information.

[A1.] Despite Mr. Bush's prediction that most elderly people would benefit from the new law, federal health officials said they faced immense challenges in meeting the high expectations of Medicare beneficiaries.

Despite Mr. Bush's prediction that most elderly people would benefit from the new law, federal health officials said they faced immense challenges in meeting the high expectations of Medicare beneficiaries.

For SC2, one would have naively expected that using more data would benefit a prediction, and while not statistically significant, participants that used only protein phosphorylation data tended to rank higher than participants using protein phosphorylation data in conjunction with gene expression data (Fig. 2G).

These predictions could identify high risk groups who would benefit from screening and also aid in making treatment decisions.