Sentence examples for variations that generate from inspiring English sources

Our statistical model incorporates various sources of variations that generate probabilistic characterization of such an association.

In LPAD the absorption of NO in bursts of laser light results in pressure variations that generate sound, which is detected by a microphone located within a photoacoustic cell.

This process is highly asynchronous with many variations that generate high standard deviations; furthermore, when values are analyzed in this way, it is not easy to find statistically significant differences.

The term 'genocopy' refers to genetic variation that generates an outcome similar to that produced by an environmental exposure [ 7].

The mechanism of variation that generates fGIs is clearly different from that typical of the core, and the presence in some islands of tRNAs, IS elements, and other conserved sequences indicates the possible facilitation of recombination with distant microbes (i.e., horizontal gene transfer [HGT]).

Rather, after testing the restrictions entailed by their local estimators, we concluded that the evidence indicated that DLR (and ADR) were arbitrarily throwing away lots of valid identifying information and potentially focusing on variation that generated biased estimates.

The DNA repair machinery also controls mutation rates that generate genetic variation in response to environmental changes.

The goal is to find out why the cases are different, to reveal the general underlying causes that generate variation.

This technique, for example, was used successfully to study the extent of variations in penicillinase genes that generate extended-spectrum β-lactamase agents (12 ).

Some mechanisms that generate variation in DNA are invoked in particular conditions (e.g., stress conditions), and produce variation that is non-random in location and/or pattern (e.g., Levy & Feldman 2004; reviewed in Jablonka & Lamb 2005, chap. 3).

That work presents a methodology based on a variation of the RRTs that generate feasible trajectories for autonomous vehicles with nonholonomic constraints in environments with obstacles.