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Based on the bilinear approximation method, we present an interval tuning bilinear approximation method to do the digital model conversion and digital redesign of sampled-data uncertain systems.
Since the delay differential equations are directly integrated without using the auxiliary procedures such as model conversion and data interpolation, most TDOCPs can be solved very conveniently under such solution framework.
The library can be used as a standalone command line tool for model conversion, and can be accessed at https://github.com/colomoto/logicalmodel.
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The integrator (Matlab and C-language versions) and the model conversion framework are available via http://www.csb.ethz.ch/tools.
According to this model, conversion of light into heat and lateral deformation of the crystalline lattice of a semiconductor takes place due to inhomogeneous absorption of light, leading to formation of periodical structure on the surface due to redistribution of point defects (interstitials and vacancies).
In the model, conversion of epithelial cells to EMT cells is enhanced by Nodal.
In this model, conversion tract lengths are assumed to be geometrically distributed (Hilliker et al. 1994).
Under this model, conversion displays a directional bias favouring the replacement of defective coding sequences with unaffected templates.
Based on the estimated kinetic parameters and on a CFB reactor model, methanol conversion and product distribution is predicted and compared with experimental data.
Experiments performed on Co and Ni promoted Mo1−xWxS2 active phases confirmed the DFT-volcano curve prediction and an increment of about 30% in HDS catalytic activity is obtained for NiMo0.5W0.5S catalysts in both model molecule conversion and gas oil treatment.
Then, with this model, the conversion and selectivity were predicted for four completely new ruthenium-carbene complexes.
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