Sentence examples for enabling quantitative predictions from inspiring English sources

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Second, they uncover the intensity of deleterious mutation effects, enabling quantitative predictions to be made about, e.g. the evolution of recombination [ 11], of selfing [ 12], or the extinction of small populations [ 13].

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A simple mass transport-limited formation model with no adjustable parameters was implemented to enable quantitative predictions of hydrate formation rate.

Recent developments in physical and computer sciences enable quantitative predictions the kinetics of chemical reactions and thermodynamic data from first principles by multiscale modeling.

The model described in this paper is a robust tool that will enable quantitative predictions of cold spray impacts and help further optimise the process.

These properties enable quantitative predictions of Ge transport and its fractionation from similar elements (e.g. Si) in aqueous vapour liquid and supercritical fluid systems.

iOL1650-ME and iJL1678-ME enande quantitativenableictions of genome-scale proteome abundances.

Third, manual segmentation of the atlas enables organ identification and measurement in each individual 3D image, enabling quantitative organ measurement.

A genome-scale extension for C. reinhardtii has been made with the network consisting of 1,080 genes, associated with 2,190 reactions and 1,068 metabolites (named iRC1080), that enables quantitative growth prediction for a given light source, resolving wavelength and photon flux.

Recent computational models enable increasingly quantitative predictions, and examples that explain the influence of the type of polymers, polymer crystallinity, carbon nanotubes, and nanotube surface modification on the interphase properties are discussed.

Despite its simplicity, the model enables almost quantitative predictions about the effect of inhibitors of PQS biosynthesis and antagonists of their corresponding receptor PqsR.

Numerical weather prediction enables quantitative calculation of time variation for meteorological elements such as atmospheric pressure, temperature, water vapor content, amount of condensation, wind direction, and wind velocity to estimate their prospective values [1, 2].

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