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It was found that the predictions are reasonable for the well-studied MMA/PMMA system (although the predicted effective activation energy was poor), but the a priori predictions were in significant error for the other systems.
The quasistatic accuracy of the predicted effective permittivity is verified using an accurate analytical solution, and the superlensing effect is demonstrated for one composite NFSL setup for violet light using numerical simulations.
The predicted effective diffusivities agree well with experimental results and numerical data.
The predicted effective properties are incorporated in the proposed uni-axial model.
Results: Subject-specific predicted effective eminence morphology correlated with in vivo data (0.85≤R2≤0.99).
The predicted effective diffusivities in cement-based microstructures with different porosities are in good agreements with the experiment data.
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Based on the signaling network, we predict effective drugs that have synergistic effects combined with three drugs (Gefitinib, Paclitaxel and LY-294002) given by our clinicians.
The results can be used to predict effective properties of nanocomposites including interphase effects.
Clinical side effect annotations have been used to predict effective combinations [13], and information from multiple domains have been integrated into a Probability Ensemble Approach to predict both efficacy and adverse effects of combinations with high predictive power [14].
A size effect law taking porosity into account is proposed to predict effective elastic moduli in good agreement with experimental data up to 200 mm model size.
However, the IM scores were unable to predict effective change.
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