Sentence examples for multilevel networks from inspiring English sources

Different from previous studies analyzing the influence of network structure on actors' performance by using a single network perspective, this article explores the impact of multilevel networks on innovation.

Moreover, multilevel networks focusing on gene function and regulation will also enhance the ability to predict effects of genome engineering strategies that form the basis of most of the work in the emerging field of synthetic biology.

A multilevel network is developed and analytical network process (ANP) is employed.

Vergara, whose Grupo Omnilife started as a multilevel network of vendors of health products, took over Chivas in 2002.

Hence, we introduce an alternative frequentist approach, called multilevel network meta-analysis, which also allows to account for publication bias and the presence of inconsistency.

Taking a multilevel network approach, this study integrates research on the two types of networks and investigates how the knowledge network of a firm influences work-related interactions among its inventors.

The synergistic effect of MWCNT and graphene and thus obtained three dimensional high loss multilevel network architecture are thought to be the primary causes for the excellent MA performance of CGFs.

The resulting cell, called STL which is extremely compact can be programmed to realize a large number of threshold functions, many of which would require a multilevel network of conventional CMOS logic gates.

Joining a multilevel network requires the mastery of relations to recruit and retain the right people, which very few posses.

We put it into practice through an innovative, multilevel network of cooperative enterprises, based on a bottom up corporate architecture, in effect an inverted conglomerate".

Examples of syndrome and pathogen networks illustrate how multilevel network representations of the relationships between infectious syndromes, pathogens and pathogen genomes can illuminate unexpected biological similarities in disease pathogenesis and epidemiology.