Sentence examples for populations variability from inspiring English sources

In controlled populations, variability can be increased through directional selection.

In summary, whereas in sexual populations the variability is evenly distributed among all genotypes (whether heterozygous or homozygous), in asexual populations variability is exclusively found in specific genotypes.

Although several medical treatments have been reported for the condition, the evidence is quite difficult to interpret because of differing study methods, non-homogeneous patient populations, variability in outcome measures, and failure to control for spontaneous regrowth.

This wide variation in incidence can be attributed to differences in the definition of CIN used, differing patient populations, variability of contrast doses, variations in timing of follow-up, and different routes of contrast medium administration (intra-arterial vs. intravenous)[ 8 ].

Probable causes for these impacts are related to settlement dynamics, population variability, and land use changes.

Across the population, variability in the size of epidemics results in large-scale temporal changes in infection and disease risk that correlate poorly with age.

This paper presents an extension of the Bayesian approach to population variability analysis, which concerns the introduction of sources estimates (e.g. engineering judgment) as one of the forms of evidence used in the construction of population variability distributions.

Bayesian population variability analysis, also known as the first stage in two-stage Bayesian updating [IEEE Trans . Power Appar Syst.

Finally, using population genetics tools, we show that positive selection and admixture with Neanderthals have both contributed to shape the current population variability in the splicing landscape of the human immune response.

As such, the regulatory variants we report here, whether adaptive or not, constitute a valuable resource to explore further how AS contributes to individual and population variability in host responses to infection and immune disease susceptibility.

Sampling errors can be divided into four groups: errors originating from inherent sample variability, errors from population variability, sampling design errors, and field procedure errors.