Sentence examples for mutual interaction with from inspiring English sources
The nodes interact indirectly through their mutual interaction with local and phononic modes of the substrate.
Readers will have a grasp of the history of these theories as well as the latest developments in them, and will see how theories change in mutual interaction with changes in the economy.
In this way, the particles could enhance the mutual interaction with the others sufficiently and heighten their search ability greatly by using the search information of the whole swarm.
The numerical results obtained here show a marked dependence of the stress and displacement wave fields on the shape of the inclusions, their material properties, number and position, as well as their mutual interaction with the incoming horizontally polarized shear (SH) waves.
It can be seen that there is no mutual interaction with the ZnO side of nanocomposite.
This indicates that the oxygen atom has a substantial mutual interaction with the d 3 orbital of the Au atom.
Habrian C, Chandrasekhara A, Shahrvini B, Hua B, Lee J, Jesinghaus R, et al. Inhibition of Escherichia coli CTP Synthetase by NADH and Other Nicotinamides and Their Mutual Interactions with CTP and GTP.
Special attention is paid to the process of urbanization through repeated destructions and the forming of cultural identity through mutual interactions with the West, both of which worked as major forces that shaped architectural developments.
Shonkoff and his colleagues made it clear a vital part of child development – the making of connections within the developing brain – occurs during the first few years after birth, driven in part by mutual interactions with care-givers, like "serve-and return" contacts, with loving parents.
The high spatial heterogeneity in biofilms and their complex mutual interactions with the environment have been described manifold (e.g. [19-21] [19-21]
High-throughput protein-protein interactions detection experiments allow nowadays a representation of the global cell functioning in terms of a network, with nodes representing proteins and edges representing the detected mutual interactions, with the goal of exploiting the properties of these networks for prediction purposes on the function of specific proteins.
