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It was found that it provides a very good fit to the behavior of these networks prepared by end-linking.
We complement these results with a study of other conformational properties of the polymer strands that clarify the molecular mechanisms behind the mechanical behavior of these networks.
We find that the stress strain behavior of these networks has novel features not observed in typical networks made of synthetic polymers.
Omniscient nodes are studied in [ 29, 30 ] in the context of two-source two-destination multi-layer wireless networks where they dictate the asymptotic (in terms of power) behavior of these networks.
The CN-net is designed to study the structure properties of the artificial neural networks (ANNs) while the TRG is used for verifying the dynamic behavior of these networks.
Studies on the swollen bimodal networks have validated the above conclusions since swelling of the networks will prevent the elastomeric chains from undergoing possible strain-induced crystallization during the stress strain experiments and any abnormalities in the mechanical behavior of these networks must be therefore the result of the limited extensibility of the short chains of the networks.
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Differential equations have been established to model the dynamic behavior of these regulatory networks quantitatively.
The flow behavior of these created networks is significantly different from that of traditional single or multiple planar fractures due to complex interplay of flow caused by the interconnected fractures.
To simulate the dynamic behavior of these biochemical networks, kinetic equations have to be associated with each reaction.
Based on this reasoning, we hypothesized that the antagonistic behavior of these two networks as shown in multiple fMRI studies would manifest in the inferred HMM states as an anticorrelation between the fractional occupancy time courses of these two states.
These thresholds arise due to the bistable behavior of the networks originating from the positive feedback loop between NF-κB and its target genes.
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pattern of these networks
behavior of these kids
behavior of these lesions
behavior of these polynomials
behavior of these pseudo-queens
behavior of these professionals
behavior of these muds
behavior of these multilayers
behavior of these columns
behavior of these LDHs
behavior of these derivatives
behavior of these creatures
behavior of these parameters
behavior of these opponents
behavior of these complexes
behavior of these individuals
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Justyna Jupowicz-Kozak
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