Sentence examples for rigorously predict from inspiring English sources

Shifting the liquid traces with the depletion-driven dimensionless parameters (bar{lambda }_{text{m}}) and (bar{beta }_{text{m}}), the liquid analytical solution could rigorously predict the responses of natural gas reservoirs at the second decline stage.

Smeared crack finite elements models, based on the assumption of homogenised media and spread plasticity, fail to rigorously predict the actual collapse behaviour of such structures, that are generally governed by rocking and sliding mechanisms along mortar joints between stone blocks.

As a result, along with the fluid velocity distribution, the species concentration distribution in the bubble column can be rigorously predicted simultaneously.

Most predatory killers score very highly on the most rigorously tested measure to predict violence, the so-called psychopathy checklist; but many who do not commit crimes also score high.

The sintering stress, and then the shrinkage rate, are predicted rigorously from the distribution function of pore size.

The goals of this study were to: (i) compile, curate, and integrate the largest publicly available dataset of chemicals studied for their skin permeability; (ii) develop and rigorously validate QSAR models to predict skin permeability; and (iii) explore the complex relationships between skin sensitization and skin permeability.

A system exhibiting zero-one kinetics was employed, with the model comprising a set of rigorously developed population balance equations to predict monomer conversion, PSD and MWD.

Further analyses over an extended period are needed to rigorously test whether gene expression can predict the onset of PAH, and how gene expression in lSSc patients changes over time.

They have been rigorously evaluated in other settings; they predict behaviour in terms of factors amenable to change (e.g., beliefs, perceived external constraints); and they include non-volitional components that acknowledge that individuals do not always have complete control over their actions.

Moreover, Chesi et al. rigorously validated the ability of this model to predict single-agent drug activity in MM with a positive predictive value for clinical activity of 67% and a negative predictive value for clinical inactivity of 86%.

Our results show that without more rigorously generalizable results, it is very difficult to predict the amount of error in any conservation plan.