Sentence examples for consequence of the variability from inspiring English sources

As a consequence of the variability of the mesh stiffness, statistical variations of natural frequencies are observed for critical modes (high-energy modes).

As a consequence of the variability in responses discussed above, it is a challenge to predict clinical outcomes in protocols and accurately calculate sample sizes, particularly when using an active comparator, even the gold standard methotrexate.

Indeed, according to a retrospective review on European studies [ 4], the true rate of SSI is actually unknown in Europe and is likely to have been underestimated as a consequence of the variability of data collection, surveillance methods, and type of surgical procedures that are investigated.

Consequences of the variability in copy number and function of miRNA integral to these CNVs is yet unknown.

Our data does not allow us to speculate on possible functional consequences of the variability of these telomeric piRNA clusters but they may be interesting clusters for future studies.

The use of such a conservative threshold (i.e. 30%) is a consequence of the intrinsic variability in repeat PET scans, biological variability and the need to account for inter-scanner variability and aims to reduce the number of incorrectly classified responders, albeit at the cost of sensitivity.

The lack of consistency in results is likely a consequence of the wide variability in designs and methods across studies, combined with relatively small sample sizes and the limitations of the matrices used.

Although in the current analysis, we did not find any statistically significant correlation between such trends in length-deviant and length-rigid protein superfamilies (∼30% length-rigid proteins also do function as multimers), we believe that this is a consequence of the high variability in the number of proteins in each dataset.

As a consequence of the inherent variability of these measurements, the magnitude of the estimated mortality effect is likely to be under-estimated through non-differential misclassification.

It can be noticed that error bars are bigger as the initial concentration decreases, as a consequence of the increased variability among a small population of cells [ 2].

In consequence of the allowed variability and the used naive search strategy, a very large number of motifs will be eventually found, and thus the result of the algorithm will be difficult to manage.