Sentence examples for more quantitative predictions from inspiring English sources

The desire for more quantitative predictions motivated the development of the recently introduced Substrate Product Occurrence Ratio Calculator (SPORCalc) that identifies metabolically labile atom positions in candidate compounds.

Finally, as a longer term prospect in view of uncertainties in modeling mechanisms of cyclic slip, crack nucleation and growth, such modeling can serve to support more quantitative predictions of fatigue lifetime as a function of microstructure.

Our work makes it possible to go beyond a qualitative assessment, towards more quantitative predictions where all hypotheses are clearly stated.

This should combine the advantages of this stochastic approach with more details on the involved immune cells populations - both with regard to their role in the immune response and their contribution to persistent immune activation and viral replication - to allow for more quantitative predictions.

It was concluded that the trend of the fluxes, ranging between 47 and 300 l h−1 m−2, and rejection (−5% to −85%) match well with their position in the diagram, which opens the possibility to a more quantitative prediction of performance, and to specifically design applications based on a given membrane.

However, PLS1 and PCR were applied to design calibration set based on absorption spectra in the 250 320 nm range for 36 different mixtures of AA, DA and UA, in all cases, the PLS1 calibration method showed more quantitative prediction ability than PCR method.

Once a system model structure is in place, integration of phase I biomarker data can facilitate model refinement, resulting in more quantitative prediction of clinical efficacy and/or safety responses based on correlation with biomarker response.

While highlighting the qualitative aspects of our study, parameter estimates from in vivo data associated with resistant mutations are needed to provide more accurate quantitative predictions.

A more reliable quantitative prediction of these complex phenomena calls for a sophisticated modeling framework.

Of course, more sophisticated and biologically realistic models would have to be studied to provide more specific, potentially quantitative, predictions regarding the effects of variation of particular physiological variables due to brain disease or other factors modulating brain function.

J.B.S. Haldane, one of the founders of population genetics, countered (1964) that mathematical analysis enables evolutionary biologists to make more precise and quantitative predictions, avoiding much of the clutter and vagueness of purely verbal arguments.