Sentence examples for behavior of populations from inspiring English sources
For example, it can be used to describe the behavior of populations with hibernation periods.
Since the probability behavior of populations is evident, possibility of getting stuck in a local minimum is lower.
For the effect of these kinds of delays on the asymptotic behavior of populations, we can refer to [10, 15 19, 23 27, 34 41].
The effect of these kinds of delays on the asymptotic behavior of populations has been studied by a number of authors (see, for example, [11, 15, 20, 22 25]).
The objective of this study was to develop a computer model by introducing modifications to the renowned Penna model for biological aging, in order to evaluate the behavior of populations subjected to the effects of fragmented environments.
The emergence of translational science highlights the unifying framework that bridges the continuum of knowledge creation and deployment, converting fundamental discoveries to human application, advancing the information into clinical practice, disseminating best clinical practices into communities and, ultimately, modifying the behavior of populations to improve global health[4].
The behavior of population growth in cyclic environments for discrete time has already been analyzed.
This justification has attracted the attention of many mathematicians who are interested in studying the dynamic behavior of population models governed by differential or difference equations [19, 20].
The population density approach leading to partial differential equations is suited for very large populations of neurons; we think that mathematical studies on the qualitative behavior of population density models may help for the choice of the particular single neuron model used to describe the internal state of the neurons of the population, and give insights on the results.
An equilibrium analysis allows us to study the long-term behavior of population dynamical systems.
Those simulations give a plausible explanation that how the 'all-or-none' bistable behavior of single cell converts to observed gradual behavior of population data under noisy conditions.
