Sentence examples for network incorporation from inspiring English sources

Epoxy network incorporation of the hybrid toughener led to a 220% increase in fracture toughness while also bringing about an increase in Young's modulus of over 20%.

And finally, can we expect a remodeling of GABAergic inputs to be a central feature also for the network incorporation of new neurons obtained via specific cell-based replacement approaches to repair adult brain circuits, for instance following local reprogramming or transplantation?

It is shown that the geopolymer network enables incorporation of transition metal ions as active centres for catalytic reactions.

Thus, this simplification of platelet PPI network by incorporation of available contextual information rapidly confirmed an integrin activation and signaling pathway and, therefore, can be used to provide insights into this and other pathways.

Swelling studies were conducted in order to probe structural changes in the gelatin network upon incorporation of the magnetite nanoparticles.

Visualization of labeled metabolites in the global metabolic network reveals incorporation of glucose-derived carbon into diverse areas of metabolism.

The expansion of laboratory network, gradual incorporation of other pathogens as per local need and resistance testing for additional antimicrobials may be necessary.

While these databases remain helpful resources, a method that is able to find structures with real biological implications in the network without incorporation of a prior bias lends itself toward a higher impact result.

With the development of software that implements novel computational methods for calculating the dynamics of large-scale rule-based representations of cellular signaling networks, it is now possible to build and analyze models that include a significant fraction of the protein interactions that comprise a signaling network, with incorporation of the site-specific details of the interactions.

Different biosynthetic platforms microorganisms naturally have different genetic backgrounds, thus presenting different levels of complexity for metabolic networks, the incorporation of different physiological characteristics, cell structural properties, and/or biological activities.

In computational models, such as neural networks, explicit incorporation of such transformation properties may be used for bypassing the need for an explicit training stage to learn corresponding invariance properties.