Sentence examples for model networks with from inspiring English sources

Four different model networks with degrees of polymerization (DP) of the linear segments between cross-links of 10, 20, 50 and 100 were prepared.

Model networks, with a well defined structure, were synthesized by reacting a commercial α,ω-divinyl poly(dimethylsiloxane) (B2) with a trifunctional cross-linker bearing silane groups (A3) and known amounts of an anionic ω-vinyl poly(dimethylsiloxane) (B1).

The relaxation behavior of a series of solvent free polyurethane model networks with variable cross-link density prepared based on different commercial diols and a diisocyanate containing component are studied by differential scanning calorimetry (DSC), dynamic-mechanical analysis (DMA) and dielectric relaxation spectroscopy (DRS).

We have compared the topological properties of our model networks with those of the TRN of yeast obtained from the different sources listed in Table 1.

Thus, to evaluate the fit of the data to the model networks, we compare the RIGs to the model networks with respect to easily computable network properties.

RIGs are compared to the corresponding model networks with respect to two graphlet-based local and five standard global network properties.

We consider the practical scenario of UDN and use random geometry tools to model network with the imperfect CSI.

Fig. 6 shows the decreasing and increasing firing rate patterns of the integrate-and-fire model network with random connection weights of various sizes (N = 1, 25, and 40 for decreasing responses; N = 1 and 10 for increasing responses).

Data was generated based on the probabilities defined by each model network, with all variables being discrete.

It is of relevance to state that while we compared the dynamics of the inferred core network with null-model networks with a random topology, we do not imply that the GRN of ancestors of S. cerevisiae had a more "random topology" than the present GRN of S. cerevisiae.

However, in our model networks, nodes with high betweenness centrality begin to appear as anisotropy is increased.