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Later experiments data demonstrate that the activity and stability of the catalyst can be further enhanced via copper doping, which results from the modified electronic structure of the Pt atoms and the synergistic effects of the core-shell structure.
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The adsorption experiment data demonstrates that the adsorption is a multi-molecular layer adsorption process, during which the physical adsorption takes place.
Results show a good agreement with experiment data, demonstrating that the proposed technology can predict mechanical and fracture behaviour of cementitious materials based exclusively on microstructure information.
Together with the pseudoparticle experiments, these data demonstrate that AmphoB's enhancement of IAV infection arises from it overcoming IFITM3's inhibition of viral fusion.
Experiments on real data demonstrate that, not surprisingly, success hinges on the domain: if a few attributes can support good predictions, users generate accurate classifiers, whereas domains with many high-order attribute interactions favour standard machine learning techniques.
Moreover, SASD achieves a good trade-off between image contrast and image smoothness, and our experiments on synthetic data demonstrate that it produces more accurate tensor fields from which biologically relevant metrics can then be computed.
Automatic speech recognition experiments with noisy data demonstrate that subspace-based speech enhancement can significantly increase the robustness of these systems in additive coloured noise environments.
Both simulations and experiments on real data demonstrate that the proposed algorithm outperforms the ℓ1-SVD algorithm, which exploits straightforwardly ℓ2,1 minimization, for both deterministic basis matrix and random basis matrix.
Experiments on real data demonstrate that the proposed method leads to a decrease in the reconciliation cost and the number of inferred events.
Experiments on MSTAR public data demonstrate that the proposed HPSMCF is robust for variant recognition conditions.
Experiments on MSTAR public data demonstrate that the proposed HPSMCF gets better performance than PSMCF when applied to SAR ATR.
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CEO of Professional Science Editing for Scientists @ prosciediting.com