In the IFS procedure of survival prediction model, the predicted ABC dead and GCB dead samples were merged as high-risk samples, and the predicted ABC alive and GCB alive samples were merged as low-risk samples.
In the CETS model, the predicted neuronal proportions across all permutations were virtually identical to the original predictions without in silico induced batch effects (mean R== 1 ± 1.9 × 10−6) (Fig. S4C ).
For example, in this model the predicted probability for a general journal with impact factor 4 is 0.94 with a two standard error interval of [0.66, 0.99].
Through this model, the predicted MLF generation in 2010 in Shanghai will be 7.65 million tons.
During applications of the model, the predicted curve shows good agreement with the experimental result.
In the model the predicted road inclinations and velocity regulations are considered together with the safety requirements.
In order to verify this extended model, the predicted elastic field in an advanced polymeric solar reflector is compared with FE simulation results and parametric studies are conducted to investigate the effect of geometry on the accuracy of this model.
Results showed that by using σdyn with W C model the predicted d32 changed proportionately with σdyn.
To confirm the validity of the proposed M K model, the predicted FLDs were compared with experimental results for steel sheets.
To validate the accuracy of the two-level model, the predicted current is compared with experimentally measured current for different tethering densities.
To validate the proposed model, the predicted effective stiffness of transversely isotropic composites under far field loading conditions is compared with analytical solutions.
