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High-performance TFTs and integrated logical circuits have also been fabricated using random networks of single-wall carbon nanotubes directly grown from CVD methods.
On the other hand, using random networks of carbon nanotubes for applications in thin-film transistors (TFTs) has recently shown great promise.
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To obtain the significance of these KOs p-values were calculated using random networks.
In searching for N,k-invariant N,k-invarianteranalyseseseveralrandom networkstudiesthe same nusedrandomodes anetworksctions as (bootstrapped) surrogates to normalize the corresponding graph measures (e.g., [18], [37], [44]).
We use "random network" hereafter to refer to a truncated power law preserving random network, unless otherwise specified.
The advantage of using random samples of metabolic networks with a specific property for our analysis is that such samples have not been subject to any of the (usually unknown) selection pressures that an organism's metabolism is subject to, and that they can form a useful reference point to ask whether any one organism's metabolic network has typical or atypical properties.
Using random in-silico networks to generate simulated gene expression data from a well defined network structure allowed systematic evaluation of the algorithm.
For performing studies using synthetic networks, we generated 3 random networks of size 10, 25 and 50 using the genenetweaver tool [ 9].
Two approaches are used to construct physically realistic random networks of tight porous media and demonstrate the relationships of formation factor permeability and permeability porosity in tight porous media.
This work focuses on improving the Quality of Service of video streaming over mobile ad-hoc networks using random NC.
The graph diffusion kernel explores the topology of the metabolic network using random walks that visit metabolites and enzymes.
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