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Five sites (86, 128, 196, 224 and 231 -numbered according to the WebLogo on Figure 1) had a high posterior probability (> 0.95) of being positively selected considering the Bayes Empirical Bayes (BEB) method as implemented on model A [ 51].
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The method combines an implemented, on-the-fly, model checking algorithm for statements in the temporal logic CTL∗ with the output of the qualitative simulation algorithm QSIM.
The model is constructed based on an experimental set up in which statics and cyclic compressive loads are implemented on a model constructed from a confocal microscopy 3D image of a stem cell.
The proposed adaptive control is implemented on the model using a Simulink interface provided in FAST.
The sponge boundary condition [28] is implemented on the model edges to avoid the edge reflections [29].
The pulses have been designed using the GRAPE algorithm and are experimentally implemented on a model protein ubiquitin (13C, 15N labeled).
Finally, the designed control strategy with different controller is implemented on a simulation model.
The proposed dynamic reference scheduling strategy was implemented on a simulation model of a passenger car Diesel engine and satisfying results were obtained.
The red lines are the scheduling results of IP model implemented on kriged resource model while blue dots are the associated risk profiles.
Control strategies have been implemented on dynamic modelling for forward velocity control.
Finally, a nonlinear controller is designed on the basis of the moment model and is implemented on the sectional model to achieve an aerosol size distribution with desired geometric average particle diameter.
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