Sentence examples for an understanding of the variability from inspiring English sources

The design of efficient monitoring programmes required for the assurance of offshore geological storage requires an understanding of the variability and heterogeneity of marine carbonate chemistry.

This analysis provides an understanding of the variability of the regional peak plantar pressure distributions seen within the diabetic population and serves as a guide for the preemptive assessment and prevention of diabetic foot ulcers.

It is also particularly important to develop an understanding of the variability in flow and acid discharge through storm events, as these potentially constitute the times of greatest impact with respect to acid transport.

The selection of techniques rests upon an understanding of the variability in how complex and cognitively demanding the various techniques are.

Estimating a range of exposures in a given population requires an understanding of the variability of ventilation rates in the population.

Next, given an understanding of the variability in key nodes (protein abundance) and parameters (biochemical rates), Monte Carlo simulations can be employed to simulate heterogeneity in tumor growth rates among molecular diverse tumor "clones".

Long-term knowledge of the wave climate of a potential wave energy site is essential for project planning and design, not only for an understanding of the resource variability, but also for the prediction of design wave conditions.

A modern approach to shoulder arthroplasty must incorporate an understanding of this variability to effectively reconstruct the anatomy of any particular patient.

500 simulations involving different pairings of patches and mills were used to develop an understanding of the trend and variability of possible haul distances.

This study is the most detailed and complete analysis of treatment delivered with sufficient follow-up to allow an understanding of the reasons behind variability in survival.

These probabilistic models require not only a good understanding of the variability in specimen data, but also an understanding of the microstructural sources of variability to allow scaling to component analysis.