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These two models result in different habitat configurations.
Consequently, optimization efforts basing on these impractical models result in inefficient solutions.
Erdős-Rényi and Watts-Strogatz models result in networks with almost homogeneous degree distribution.
NeuCube models result in a better accuracy of STBD classification than standard machine learning techniques.
With regard to behaviour prediction, the most frequently used uniaxial constitutive models result in similar responses.
Assembled component models result in a 12% error norm at the system level.
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Even the closest attempts by Dong Son craftsmen at imitating Chinese models resulted in original works.
A consensus from both the models resulted in 43 drugs.
The iPhone grew 15percentt overall however, thanks to older models, resulting in a net gain for iOS in general.
In some cases, update of the gene models resulted in new ID numbers in v2.0.
Communication was achieved between the two separate models, resulting in a novel multiscale modeling approach.
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