The relative errors are mostly no more than 10%, the accuracy of mode shape angle is somewhat better than that of magnitude, and the effectiveness of model order selection is verified again.
A nonlinear high-order state space model is generated and proper orthogonal decomposition is used for model order reduction and the accuracy of the reduced model is verified.
We perform numerical simulations on the microscopic and homogenized models in order to verify the efficiency of the homogenization process in the slow smoldering regime.
Because each of these codes solves the transport and burnup problem differently, there is a need to benchmark the core models in order to verify results and identify root causes for significant differences in results between codes.
Several researchers established the protocols to generate neural progenitor/stem cells, motor neurons, oligodendrocyte progenitor cells in vitro and then transplanted these cells into various animal models in order to verify the ability to restore neuronal functions in vivo.
Several scientists have tried to generate neural progenitor/stem cells, motor neurons, oligodendrocyte progenitor cells, and olfactory ensheathing cells in vitro, and then transplant these cells into various animal models in order to verify the capability of neural function restoration in vivo.
The manifold-based reduced order model is verified using common principles from the machine-learning community.
For completeness, the MEKM solution of the two-dimensional high order model is verified through comparison with a three-dimensional Finite Element model revealing good correlation.
Electric fields and winds from observations were included in MIRE model in order to verify the Esb formation.
The MIAr was then submitted to a new evaluation using the Rasch model, in order to verify evidences of validity by means of item response process (Primi et al. 2009).
