Sentence examples for conducting features from inspiring English sources

Interlayer separation between the nanoribbons appears to have a profound impact on the conducting features of the bilayer nanoribbons, which is found to be closely related to the topology and overlap between the edge-localized π orbitals.

Furthermore, we can now resolve near-surface, moderately conducting features in the volcanic arc, probably associated with geothermal resources.

However, earlier MT studies also observed similar conducting features in the lower crust in the Son Narmada Region extending north of Narmada River (Gokarn et al., 2001).

In the original TSPA tool, we use a single source term model by assigning the same reference radionuclide inventory data for each waste package and the same shortest distance from the waste package to the MWCF (Major Waster Conducting Features) for conservatism.

This comparison seems to give a further confirmation about the role of the CN groups in the introduction of charge transport paths with improved conducting features through the single molecules.

Maestro will follow the trainee conductors over three one-hour shows as they attempt to apply their musical knowledge to conducting, featuring opera experts such as the conductors Sir Mark Elder and Sir Antonio Pappano, and the soprano Danielle de Niese.

Among the three second polymer components, POE is much preferred in actual applications as it makes PP/CNT nanocomposites super-tough while the conducting feature of the nanocomposites is retained.

Specifically, the proposed method first uses a feature-level self-representation loss function to sparsely represent each feature by other features, and then employs an ℓ2,p-norm regularization term to yield row-sparsity on the coefficient matrix for conducting feature selection.

Conventional feature selection approaches in vector spaces usually assume that a set of features are given before conducting feature selection.

Transparency is promoted by conducting feature maps and presenting all the identified facilitators in appendices.

For global pattern classifiers (Figs 2 and 3), we first conducted feature selection to maximize predictability and generalizability of SVMs.