Sentence examples for resolution prediction from inspiring English sources

Thirdly, owing the presence of an extremely rugged fine structure at the bottom of the landscape, high resolution prediction of protein structure is likely to be more complex by many orders of magnitude than prediction of the overall fold.

The COG assignment yields a higher resolution prediction of the molecular function than a gene family assignment derived from PFAM.

phastCons elements are smaller and more numerous (1,395 elements averaging 6.7 bp in length) than mitoPopCons elements (33 elements averaging 167 bp), perhaps implying that phylogenetic data allow for higher resolution prediction than even our dense polymorphism data.

Accurate, fine spatial resolution predictions of surface air temperatures are critical for understanding many hydrologic and ecological processes.

For the geospatial modeling, we used soil profile observations (585 for SOC stocks and 153 for active-layer thickness) and environmental variables (climate, topography, land cover, and surficial geology types) and generated fine-resolution (50-m spatial resolution) predictions of SOC stocks (to 1-m depth) and active-layer thickness across Alaska.

The intrinsic resolution of the sensor planes is derived from data and used as input for track resolution predictions.

Results of the EUDET-type beam telescope performance and track resolution predictions for different telescope configurations and beam momenta are presented in the "Track resolution studies" section.

One additional complication for field validation efforts using these high resolution predictions are the current technological limitations of survey vehicles and equipment (i.e. ROVs, submersibles, drop cameras, etc).

The high-resolution prediction of protein protein docking can now create structures with atomic-level accuracy.

Kelvin K. Droegemeier, a professor of meteorology at the University of Oklahoma and an expert in high-resolution prediction, also warned of the problems that can occur when the initial estimates that form the basis for forecasts are wrong.

Because these processes act at different spatial scales, multi-scale approaches are required not only to detect the patterns of soil distribution but also to develop generic and high-resolution prediction models for the characterisation of large areas.