Sentence examples for use of these predictions from inspiring English sources

The objective of this work is to introduce the use of the hydrophilic-lipophilic-difference (HLD) and net-average-curvature (NAC) frameworks to predict the solubilisation features of ternary phase diagrams of lecithin-linker μEs and the use of these predictions to guide the formulation of dilutable μEs.

In 1999, researchers at Lawrence Berkeley National Laboratory made use of these predictions and announced the discovery of livermorium and ununoctium, in a paper published in Physical Review Letters, and very soon after the results were reported in Science.

An important issue in establishing a correct use of these predictions is to understand how changing the threshold affects their accuracy.

The careful annotation of well-described MoRFs in terms of their sequence propensities or interaction interfaces as well as their known binding partners, and integration of these annotations with MoRF predictions, would likely improve the use of these predictions for gaining insight into IDR functionality.

These information usually make use of the prediction in the Japanese mail order industry.

Potential use of the prediction model is then discussed.

This enzymatic function could not have been inferred by using each of these prediction methods separately, nor was this function clear from sequence identity alone, as an isofunctional orthologue of either yigB or ybjI, given the sequence identities of only 17% and 5%, respectively.

In fact, it is rather obvious that if we treat the prediction of function based on each modality as an expert, then any of the popular classification methods (decision trees, boosting, and weighted majority) can in principle be used for "integration" of these predictions.

These data suggest that there is limited clinical use of these biomarkers for prediction of diabetic retinopathy.

Despite use of these markers, however, prediction of survival for each patient remains as a challenge in cardiology.

In the presented study, we make use of these new PM2.5 prediction data to study the association between long (exposure during the whole birth period and last trimester) and short term PM2.5 exposure (exposure during the last month of pregnancy) and birth weight and premature birth in eastern Massachusetts between the years 2000 2008.