Sentence examples for predictions and identify from inspiring English sources

In concert with the simulation work, the researchers will operate a physical experiment of the solar collector to test the predictions and identify other critical sensitivities.

A reliable and fast method that would test VLS predictions and identify hits could help accelerate the drug-discovery process.

Above and beyond summarizing research findings, we discuss how taxes are commonly implemented in agency models, derive empirical predictions, and identify research gaps for future tax research.

Beyond summarizing the research findings by tax types (corporate income, wage, bonus, and shareholder taxes) and research area (compensation, investments, tax avoidance, and transfer pricing), we also discuss how taxes are commonly implemented into agency models, derive empirical predictions, and identify research gaps for future tax research.

We used the 438 promoters and 464 enhancers that Won et al. reported in ENCODE region as additional filters to remove false positives of cis-module predictions and identify functional sites in the HeLa cell.

The results support the IMB model's predictions and identify modifiable and intervenable determinants of diabetes medication adherence.

Using this extensive data set we generated gene predictions and identified an extensive catalogue of potential Simple Sequence Repeats (SSR) markers.

The computational model generated subject-specific predictions and identified typical patterns of TG improvement.In this study of the effects of hemodilution, CCF-AT supplementation improved the dilution-impaired plasma TG potential in a more balanced way than either rFVIIa alone or CCF-FVII supplementation.

Maier et al. (4) used these predictions and identified through a knockout strategy a number of proteins that were essential for the transport of PfEMP1 to the surface, including members of the Plasmodium helical interspersed subtelomeric (PHIST) family.

We test this prediction and identify determinants of levels of polymorphism and rates of protein evolution using genomic data from Arabidopsis thaliana and the recently sequenced Arabidopsis lyrata genome.

Thus, defining the nature of the gene-gene and gene-environment interactions can clearly help to improve prediction and identify persons at increased risk of type 2 diabetes (36).