Sentence examples for differentiated network from inspiring English sources

We might back a first-time fund of an experienced venture investor, but even then, we have to be convinced that he or she has a differentiated network among high-quality entrepreneurs.

The explosive growth in Internet deployment for a constantly growing variety of applications has created a massive increase in demand for network performance parameters, such as throughput, latency, and packet loss rate [1 6], which are very important for providing differentiated network services.

However, Schluter et al. [35] found a different effect of TMS on the premotor and motor areas suggesting differentiated network involved in movement selection and execution.

It has become evident that emotional speech processing is a highly complex endeavor mediated by a differentiated network of fronto-temporal, fronto-parietal cortices, the amygdala, and the basal ganglia (BG).

The differentiated network structures for skin, gut, and oral cavity were detected with a permutation P value of 0.05.

This differentiated network of fibers may have clinical relevance as a mechanical protection of the underlying bone [ 4].

These advantages are further advanced if a firm is positioned in between differentiated networks, in the so-called structural holes (Burt 1992, 2004).

The technology of television literally channeled viewers to tune into differentiated networks that presented programs at regularly-scheduled times.

The network analysis separated a group of five fish with highly developed networks from the remaining nine fish that demonstrated more naïve, less differentiated networks.

It is reasonable to suppose that the more differentiated networks reflect an immune response, while the less connected networks reflect a more stable state.

Constructing a human metagenomic network requires several sequential steps: (i) estimating pairwise similarity (or distance) measures between different taxa, (ii) adjacency matrix construction, (iii) network structure (module) detection and differentiated networks.