Sentence examples for stationary population from inspiring English sources

Chile is a post-transitional country evolving towards a stationary population pyramid, which may be associated with increasing preterm birth (PTB) rates.

However, during the range expansion of a previously stationary population, we observe evolution towards dispersal strategies where considerable emigration occurs well below equilibrium density.

Our results show that the violation of the stationary population assumption of the classical life table method has strong consequences for the accuracy of life expectancy estimates.

We apply this trajectory to the synthetic stationary population of each year from 1980 and 2010 (Human Mortality Database 2014) following the formulas in (Riffe et al. 2016).

6 The 1980 chronological age pattern of poor SRH is calculated from the 1980 stationary population and the same fixed time-to-death prevalence trajectory.

Growing populations are typically of younger age composition, with more weight on younger ages with lower mortality (Preston et al. 2001); their death rate in the open age interval is lower than in a stationary population with similar mortality.

To our knowledge, the TPD diagram has only appeared once in the literature, as a didactic aid in a proof of symmetry between chronological and thanatological age structure in discrete stationary populations (Villavicencio and Riffe 2016).

The estimation errors in the classical method are predominantly positive because of the worldwide growth of the elderly population in the course of demographic transition, which produced population age structures younger (of lower mortality) than the structure of stationary populations assumed in the method.

Stationary populations for one-sex and two-sex models are computed in the usual way.

Striking a balance between motile (that is, both directionally moving and oscillatory populations) and stationary populations of mitochondria may therefore be important for sustaining neuronal activity.

In this work we have used stationary populations of RNA molecules evolving in silico to investigate the relationship between the degree of adaptation of an optimized population and the value of the mutation rate promoting maximal adaptation in a short time to a new selective pressure.