Sentence examples for enabled prediction of the from inspiring English sources

Exact(7)

Theoretical models enabled prediction of the failure loads and elucidated the contribution of each failure mode.

Observations of contaminant distributions and fracture networks from the site and a nearby mudstone exposure respectively, enabled prediction of the imminent aquifer recontamination.

Without recourse to adjustable parameters, the proposed model enabled prediction of the experimental values of (i) total two-phase total pressure drop and total liquid holdup in the trickle flow regime, (ii) frictional pressure drop in single-phase flows through packed beds, and (iii) total liquid holdup in gravity driven liquid downflow and stagnant gas through packed beds.

In fact, Ferguson Fergusonn 2010) reported that the lung absorption ka values for such drugs like terbutaline and rofleponide in rats and dogs enabled prediction of the PK profiles in humans with a reasonable degree of confidence, assuming their complete lung absorption.

The stone circles created 5,000 years ago are examples of ancient technology, which enabled prediction of the seasons and increased agricultural productivity.

These stimuli possessed statistical regularities, which enabled prediction of the visual distractor from the preceding auditory cue (Fig. 2).

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Similar(53)

People readily extract regularity in rhythmic auditory patterns, enabling prediction of the onset of the next beat.

Such knowledge would enable prediction of the likely severity of new outbreaks, or prognosis in individual cases where the viral genome sequence could be determined13,14,15,16,17,18,19.

This model enables prediction of the liquid phase composition of the ternary system using only the binary information.

The paper presents an overview of a digital approach to enable prediction of the behaviour of complex multi-component three-dimensional components in separation or assembly processes.

Simulation of the extended system enables prediction of the propagation of probabilistic uncertainties associated with the model parameters and initial conditions, and to obtain the output probability densities.

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