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A more useful approach is to base in vitro models on time kill curves [ 12, 13] using a modelling approach where the relationship between estimated growth rates and antimicrobial concentrations is analysed by maximum-effect (E max ) models.
The numerical techniques and algorithm for coupling three models on time scale are suggested.
Since the population dynamics in the real world usually involves the hybrid discrete-continuous processes, it may be more realistic to consider population models on time scales [2].
Rather, collaboration between communities of paleoclimate and global environmental change projection is critical to enhancing the credibility of future projection, since paleoclimate provides the only means for validating climate models on time scales longer than decades.
These limitations were shown to mainly be due to the restricted spatiotemporal distribution of the Swarm data available to produce the models on time for delivery to the task force.
In recent years, some researchers studied the existence of periodic solutions for some population models on time scales under the assumption of periodicity of the parameters by using Mawhin's coincidence degree theory (see [3 7]).
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Therefore, it is interesting and important to study the following model on time scales : (1.4).
This paper deals with almost periodicity of a host-macroparasite model on time scales.
In the paper we have considered the problem of steering the state of linear time-varying control systems defined on a nonuniform model on time (i.e., on time scale) to a given target set when the control is subject to specified magnitude constraints.
Joint modeling on time to treatment was also performed with stepwise selection, with alpha values of 0.05 for entry and 0.10 for retention.
In addition, two non-stationary GEV models based on Time covariate and one stationary GEV model are also constructed.
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