Sentence examples for applying population from inspiring English sources

Applying population ecology concepts reveals five patterns of coexistence in addition to commensalism.

Researchers are applying population genetics to parasitic nematodes in order to disentangle some aspects of their life strategies, improve our knowledge about disease epidemiology, and design control strategies.

In the following sections, we discuss these aspects which we consider relevant and important for applying population models in pesticide risk assessment.

By applying population balance equations together with experimental droplet size distributions, breakage rates of droplets can be determined and this is a useful tool for understanding the product engineering in OBRs.

However, it is likely to be more appropriate than applying population norms to evaluate the effect of acute injury on health-related quality of life from the general population (Wilson et al. 2012).

Our analyses represent a first step toward applying population genetics models to a large set of QTL underlying variation in functional genomics phenotypes.

However good estimates can be obtained by applying population-genetic methods to DNA sequences [18].

Hence, applying population-weighted analyses to our models will cause estimated parameters biased and unexplainable.

By applying population-attributed fractions of cancer from smoking to 2010 national cancer incidence data, we also estimate the number of smoking-attributed cancer cases in China.

Our results demonstrate that genotyping at least 100 pre-selected animals at high density and subsequently applying population-based imputation yielded highly reliable genotypes for the analysed subset of the FV population, although Ne is comparatively large.

9 12 However, given the complexity of interpreting results obtained from modelling population patterns of screening and mortality, and the difficulties of applying population-level results to individual decision-making, there may be challenges in communicating this information, particularly given the range of estimates about the risk of overdiagnosis.