Sentence examples for level of drift from inspiring English sources

Also, the lateral stiffness increased and degradation of the lateral stiffness occurred at a high level of drift.

At this level of drift, while some elements go beyond the yield point in the corresponding pushover curve, non-structural components may not operate properly owing to mechanical failure or lack of amenities, such as disconnection of electricity (Behnam 2006).

The influence of each of these variables on different structural parameters such as degradation of stiffness, shear strength, displacement ductility, dissipation of energy, hysteretic damping and level of drift, was evaluated.

The results indicate appropriate and acceptable behaviour of the system even in high levels of drift.

Considering that genetic drift is a stochastic process and does not discriminate the exact nature of mutations, the degree of bias toward deletions provides an explanation to the differential responses of eukaryotes and prokaryotes to elevated levels of drift.

Problematic levels of drift would lead to a misalignment of the video and EEG for the last trial (i.e., the onset of the event in the EEG does not match with the onset of the event in the video).

The putative bottleneck in the eastern house finch population was short and the population has been rapidly growing for the last 60 years, perhaps resulting in lower levels of drift and a higher incidence of polymorphisms, albeit at low frequency.

This is apparent in the plots of Ks against both Ka and K16S, in which those bacteria subject to higher levels of drift have elevated divergence at slightly deleterious sites (Ka and K16S) relative to neutral sites (Ks).

The association between genome size and effective population size among eukaryotes has lead to the hypothesis that elevated levels of drift are the main cause of genome expansion in eukaryotes (Lynch and Conery 2003).

However, increased levels of drift appear to be correlated with genome expansion in eukaryotes but with genome contraction in bacteria, suggesting that these two groups of organisms experience vastly different mutational inputs and selective constraints.

As in method 1, we assumed that the non-CD SNPs are neutral, both when inferring the relative levels of drift separating populations' allele frequencies and when generating an empirical null distribution to calculate probabilities.