Sentence examples for in cases of population from inspiring English sources

For neutral markers, significant negative values can be expected in cases of population expansion (Tajima 1989; Fu 1997).

The MLHKA test is relatively robust to demography given its multi-locus comparison framework [ 39]; still, while this method is conservative in cases of population expansion (i.e. for populations of African origin), population size bottlenecks might artificially result in significant p values [ 39].

Even in case of population-based studies results are inconsistent on the association between asthma and emissions from gas cooking [ 11].

This is a particularly useful property in case of populations such as frail elderly characterized by decreasing independence and multi-morbidity, potentially across different health dimensions.

Bottlenecks generate detectable genetic footprints only in cases of extreme population decline, when effective population sizes undergo a 10 1000-fold decline, or populations are reduced to a very few individuals (Ne = 10 1000-foldodecline. 2011; Peery et al. 2012).

The Mitra method, additionally, tends to overestimate the true life expectancy because of the aforementioned instability of the method in cases of strong population change.

In cases of special populations, the data can be too valuable to be discarded.

The World Health Organization (WHO) has established a system of collaborating centers known as the Radiation Emergency Medical Preparedness and Assistance Network (REMPAN) to promote radiation emergency medical preparedness, assistance, and advice to countries in cases of overexposure of populations from any source of radiation.

This significant improvement in computational time enablesthe application of model-based control approaches in real time even in case of multidimensional population balance models.

In case of the population average, curves represent the average of median values over a sample of 1,000 randomly chosen groups.

In fact, in case of large population, too strict limit for the search time can force algorithm to stop without having enough time to realize its search possibility.