Sentence examples for quantified providing from inspiring English sources

Measurement uncertainties are quantified providing an input for the error-bound analysis.

Retinal thickness maps referenced against a baseline scan reliably detected focal areas of increased macular volume in active PIC lesions during symptomatic episodes, highlighting these as 'hot spots' that could be quantified, providing an objective basis for treatment decisions.

By applying a dispatch strategy that minimizes the balancing energy needs for a given storage size, the interplay between storage and balancing is quantified, providing a hard upper limit on their synergy.

This process is repeated for all groups and errors are quantified, providing an estimate of overall model accuracy.

In addition, these markers can be objectively identified and quantified, providing potential improvement to reliability in histological subjective diagnoses such as tumor grades or compared to immunohistochemical staining patterns which rely on individual interpretation of intensity and location of staining.

Third, since this algorithm utilizes a screen, rather than a selection, both enhanced and reduced affinity variants can be quantified, providing significantly more information about the binding interaction when compared to a selection that only produces a small set of the highest affinity sequences.

This study shows there are numerous ways that 2025 fuel economy targets can be met; therefore, the trade-offs quantified provide important insights on the implications of future CAFE standards.

This experimental procedure allowed the rate of replacement of Rap1 at a given locus to be quantified provided the residence time is >500 sec.

While informative, all CRR, which was used by O'Neil et al. 2010 [ 39], inflates assumed TA performance since several contigs for the same gene may be quantified while providing no information as to the total amount of each ortholog a given TA covers.

Model uncertainty needs to be quantified to provide objective assessments of the reliability of model predictions and of the risk associated with management decisions that rely on these predictions.

On the basis of Monte Carlo uncertainty propagation methods, the uncertainty of nZEB performance is quantified which provides flexibility for designers in selecting appropriate design options according to the required probability of achieving nZEB during the design stage.