Sentence examples for population of the model from inspiring English sources

Exact(3)

Because the natural births and deaths are not balanced, that is, b k ≠ d k, the total population of the model is of an exponentially changing size.

The population of the model is divided into three subclasses, which are the HIV negative class, the HIV positive class that do not know they are infected and the HIV positive class that know they are infected.

The population of the model is divided in six classes, namely the uninfected hepatocyte, x, the drug-sensitive infected hepatocytes, (y_{s}), the drug-resistance infected hepatocytes, (y_{r}), the drug-sensitive HCV virus, (v_{s}), the drug-resistance HCV virus, (v_{r}) and the CD4+ T cells, H.

Similar(57)

Then they found the impact of herd behavior mechanism of prey population to the model system analytically.

Here, we explored the genetic diversity provided by natural populations of the model species Arabidopsis thaliana to identify potentially adaptive differences in biomass production and root morphology in response to nitrate availability.

Here we undertake such a test upon the remarkable abundance of a DNA transposon, the P element, in the proximal promoter regions of heat-shock genes in natural populations of the model organism Drosophila melanogaster [2].

Studies of wild populations of the model plant Arabidopsis thaliana have started to reveal how patterns of DNA methylation change in response to the local environment.

The proposed workflow was developed in the Irap-RMS software and comprised the following steps: construction of the structural model; construction of the geological model; population of the geological model with petrophysical parameters, and uncertainty analysis.

Hence, at a certain degree of complexity, the performance (i.e. the accurate representation of population dynamics) of the model will decrease again [14].

In the present paper, based on the work of [35], we investigate a concrete model and obtain the population dynamics of the model.

The latter utilizes knowledge of the population distribution of the model parameters for the drug.

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