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We demonstrate that this phenomenon can be modeled by coupling the population balance equation (PBE) for the cell mass distribution to the mass balance of the rate limiting substrate.
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The tissue under the EEG electrode can be modeled by coupled neuronal populations [9 11].
In general, a biological system able to present Turing instabilities can be modeled by coupled reaction diffusion equations of the form 1 2where a and h denote the spatial concentration of the activator and the inhibitor morphogens, respectively.
Regional SOC dynamics were modeled by coupling the CENTURY model and GIS databases.
A control system was modeled by coupling the 1D cycle simulation and the control logic.
The system is modeled by coupling the piezoelectric strain and structural dynamic response.
This phenomenon is modeled by coupling the population balance equation (PBE) for the cell mass distribution to the mass balance for the rate limiting substrate.
Such fluid flow systems have been modeled by coupling the Darcy Korteweg equation with the convection diffusion equation for the evolution of the solute concentration.
For waves where the wavelength is much greater than water depth, they can be modelled by coupled fluid dynamics equations known as the shallow water wave equations.
Optimal control theory is used to design laser pulses that enhance the trans cis photoisomerization of retinal, which is modeled by coupled potential curves to examine coupling effects on control mechanisms.
Nitriding of pure iron using microwave N2 H2 post-discharges is modelled by coupling kinetics of the gas phase, surface processes and solid diffusion.
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