Sentence examples for more realistic extent from inspiring English sources

A second benefit is that CRs provide more realistic extent estimates than can be derived from kriging (or largely equivalent methods such as Gauss-Markov smoothing) alone.

This study also demonstrates the benefits of including trend variables within the geostatistical model (i.e., the UK formulation) because the deterministic trends help reduce model uncertainty and result in more realistic extent estimates (Section S6 of the SI).

Metabolic control analysis (MCA) considers all the relevant properties to provide a more realistic estimation about the extent to which flux through a reaction of interest is sensitive to the action of an inhibitor [ 80 82].

These individuals, arguably, have a more realistic view of the extent of error and harm in hospitals, and if patients in the study were provided with background material about safety problems in healthcare, their attitudes towards the checklist might be stronger than those expressed here.

These modern series include smaller tumors, more mammographically detected tumors, and more realistic techniques for determining tumor extent.

Therefore, even considering the maximum extent of potential underestimation arising from our approach, our estimates appear more realistic.

To what extent must the characteristics of the situation be changed to make them more realistic?

Instead, in the present study the main objective was to assess to what extent this dose response curve is applicable when individuals are exposed to Cu in a more realistic fashion.

The extent to which pregnant women are able to reject the thin ideal and/or adopt more realistic appearance-related values during pregnancy may explain maintenance or reduction in body dissatisfaction.

Using our more realistic null model, we found that β-proteobactria including Burkholderia species suppress the RY patterns to the same extent as other bacteria (Table  2 and Supplementary Tables S2 and S9).

Future studies should assess the extent to which the models are sensible to deviations from the assumption of stationarity and the development of more realistic non-stationary models is desirable.