Sentence examples for population track from inspiring English sources

Traditional dynamic multiobjective evolutionary algorithms usually imitate the evolution of nature, maintaining diversity of population through different strategies and making the population track the Pareto optimal solution set efficiently after the environmental change.

NHANES chemical biomarker data are primarily intended to provide references ranges for the U.S. population, track trends in chemical exposures, identify exposure disparities among population subsets, and set priorities for targeted research studies.

It is based upon parallel scoring and population tracking techniques.

Also, the susceptible population converges to zero while the removed-by-immunity population tracks asymptotically the whole population as time tends to infinity.

Starting with a cognitively characterized, unselected base population, tracking individuals longitudinally in and out of hospital settings, is essential.

However, the collection of wild seeds at our field site during the last 3 years was impeded by a greatly expanded rodent population tracking the brome grass invasion.

10 This includes the promotion of the quality goal by doctor champions; funding of non-doctor staff to carry out outreach and assist in management of the population; provision of information technology tools such as population tracking software and patient reminders; and development and dissemination of clinical guidelines.

Finch populations tracked these changes by natural selection and evolutionary responses to the main events.

In the past 10 years, the Danish model has proven invaluable for identifying pathogen reservoirs in animal populations, tracking trends of human salmonellosis, and guiding interventions (4).

These drainages were the principal course of alpine glacial growth and it is probable that Grylloblatta populations tracked suitable habitat along the periglacial edge environment of these growing glaciers.

These files permitted identification of study populations, tracking of study medication use, classification of subjects according to baseline diabetes risk factors, and ascertainment of potential diabetes and DKA cases.