Sentence examples for assess variability of from inspiring English sources
The results of the conceptual framework linked to statistical trends can provide researchers, policy makers, and land managers a more comprehensive base to assess variability of watershed health and design drought management plans.
The purpose of this study was to assess variability of posture and muscle activity during work with two computer display heights and book/paper, in conjunction with a curved desk designed to provide forearm support and a traditional, straight desk.
To assess variability of measurements from the two different microscopes used, 3D images of fixed fluorescent nuclei were captured with both the confocal (mitotic imaging) and widefield (interphase imaging) stations.
The root mean square coefficient of variation (RMSCV) was determined to assess variability of repeated single TPTD measurements.
A first group of 9 animals was used for repeat injections to assess variability of FLN across animals (Table 1).
Mean amplitude of glucose excursion (MAGE) and percentage of coefficient of variance (% CV) were used to assess variability of glucose values.
This high surplus would have been vital for socio-political developments centered in the region, and highlights the importance of assessing variability of dryland field systems in discussion of their role in historical trajectories.
Finally, the clinical utility of the global noise level was shown by assessing variability of image noise across scanner models for abdominopelvic CT examinations performed in 2358 patients.
We controlled our workflow at each step; assessing variability of DNA extraction, bisulfite conversion and PCR amplification and because of such quality control we were able to identify sporadic PCR inhibition in the test set.
As sepsis is characterized by altered variability of clinical and biological signals, assessing variability of measurements was considered [ 16, 17].
Prior studies have done an excellent job assessing variability of various noncoding regions across a diversity of angiosperms, particularly the recent work of Shaw et al. (2014).
