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Fundamentally equivalent to previously formulated population genetics models, it mainly studies the balance between the incessant generation of deleterious mutations and natural selection favoring the fittest types.
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Among them, the Gauss-type predator prey models have been widely used to formulate population models [52 55].
It is mainly influenced by the following factors: firstly, natural growth rate of population, which is an important index for reflecting the development speed of population and formulating population plan.
Data from satellite-linked time depth recorders (STDRs) and diving archival tags have been used to describe narwhal diving behaviour and derive correction factors for submerged animals when formulating population estimates from aerial surveys [ 12- 15].
Population models are traditionally formulated as population balance equations.
To arrive at these results the authors formulated a population coding model where independent Poisson neurons have periodic one-dimensional tuning curves.
Furthermore we formulate a population version of FUNTA in the context of Gaussian processes.
In formulating the population balance, these three particle traits are represented in terms of three equivalent traits, namely, the solid volume, liquid volume and gas volume of the granules.
We formulated a structured population model with distributed parameters to identify mechanisms that contribute to gene expression noise in time-dependent flow cytometry data.
By permitting questions such as these to be formulated and answered, population geneticists have brought mathematical rigour to the theory of evolution, to an extent that would have seemed unimaginable in Darwin's day.
Accordingly, key questions were formulated using the population, intervention, comparator, and outcomes (PICO) format to define the systematic reviews, and their relevant outcomes were selected and rated.
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