Sentence examples for models representing interaction from inspiring English sources

This paper focuses on enterprise models representing interaction aspects which are very important when modelling networked enterprises.

Simultaneously, modified thermodynamic model represented interaction between ORC and its approximate cycles such as Carnot cycle and Triangular cycle, which also provided a thermodynamic approach for application of working fluids with different molecular complexity and development of evaluation indexes in different aspects of ORC.

The rules of the model represent interactions of ligands with ERBB receptors, receptor dimerization, phosphorylation-dependent interactions of adapter proteins with receptors, the MAPK cascade downstream of Ras, PI3K signaling events that regulate phosphorylation of Akt, multiple feedback loops, and phosphorylation events that regulate the above processes.

In Kuznetsov's model, the terms representing interaction of effector and tumour cells are linear in both.

Although coupled models representing the interaction of groundwater and surface-water systems have been studied for over a century, most have focused on groundwater quantity or quality issues rather than response time.

We also replicated 58 proxy SNP-SNP models representing this interaction in the eMERGE dataset at a permutation P-value threshold of 0.05 (Additional file 5: Table S4).

These are generally built in a piecewise manner based on model systems representing interactions found in proteins and are then extended to full protein systems.

To understand the design principle behind this feed-back/feed-forward system we constructed two simple in silico models representing PCN interactions with PXR and its target gene CYP3A1 (Figure 6a), and LCA interactions with PXR, FXR and VDR, and their target genes CYP3A1, Fibrinogen B and CYP24 respectively (Figure 6b).

These approaches are often based on network models representing biological interactions.

Boolean models represented as interaction hypergraphs have a unique underlying interaction graph which can easily be derived from the logical model (by splitting the ANDs, see Klamt et al. [ 6]).

Typically, these models represent activities, interactions or other dynamic phenomena in biochemical networks.