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The model was found to be capable of predicting the experimentally observed plastic strain-mediated mass loss profile.
The multi-scale computational model was found to be capable of predicting the fatigue response observed in experiments.
A single empirical correlation is found to be capable of predicting the experimental Nusselt numbers of both condensation and boiling flows together.
The model was found to be capable of predicting the nonlinear response and the ultimate failure modes of the tested beams.
The model was validated in a commercial scale cold store and was found to be capable of predicting the air velocity as well as product temperature with an average accuracy of 19.5% and 0.5 °C, respectively and also the simulated average total moisture loss was found to be only 0.61% water (w.b).
These potential models were found to be capable of predicting the available VLE phase diagrams of the binary subsystems: ethylene + water at 200 and 250 °C, ethylene + ethanol at 150, 170, 190, 200, and 220 °C, and ethanol + water at 200, 250, 275, and 300 °C.
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A nonlinear finite element model was also developed and found to be capable of accurately predicting the nonlinear response and the combined strength of the tested composite beams.
We found that BRmet50 was capable of predicting drug sensitivity in both models.
We find that PPInterFinder is capable of predicting PPIs with the accuracy of 66.05% on AIMED corpus and outperforms most of the existing systems.
By computer simulation, it was found that this mechanism was capable of predicting the temperature dependence of the yield stresses of NiAl composites.
The determination coefficient (R2) was found to be 0.9437, indicating that the proposed model was capable of predicting the removal of TPHs by ozonation.
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