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Various approaches [336] have been made to construct nonlinear dynamical models of the generation of a temporal shifting between possible percepts such as competition models [337], bifurcation models, ones based on neural circuitry [338], or conceptual ones [339] based on network structures [340] or on heteroclinic attractors [341].
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The least-cost pathways based on network structure were displayed under four dispersal distances in three periods.
Consequently, these algorithms treat all networks effectively as complete graphs, and are not directly amenable to complexity bounds based on network structure, such as measured by treewidth, that are well known in the finite-domain case.
For spectrum allocation, a graph-coloring scheme based on network structure is proposed in [24], where a topology-optimized allocation algorithm is used for the fixed topology which involves advance knowledge of the PU interference regions at a central network entity.
Network topological properties could efficiently explain regulatory rewiring based on network structure.
In graph theory, centrality provides a means of ranking nodes based on network structure.
Based on network topology structure, the section connecting points for any lines and corresponding detection placement in the loop are determined first.
Here we present a new algorithm based on network analysis applied exclusively on protein structures to identify critical residues.
It is worth nothing that while gene clusters tend to correspond to biological functions, the actual structures they form in the network can be mined based solely on network structure, often without the help of biological annotation data.
Networks of microfluidic channels can be constructed based on real network structures with practically any level of complexity desired.
In order to obtain good system performance and improve spectral efficiency, PC is based on various network structures such as traditional CRNs, cellular CRNs, and multiple-input multiple-output (MIMO) CRNs.
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