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complex system
The design and analysis of complex system neural network metamodels
      
In light of this, the myocardial matrix should not be regarded as merely a static structure, but rather, as a complex system of dynamic interactions between matrix molecules, signaling proteins, and transmembrane proteins.
      
The basic idea of the approach is the Law of Self-Similar Evolution, according to which any complex system develops self-similarly.
      
We show how reaction coordinate path lengths affect the relaxation efficiency of a complex system.
      
In this contribution the most complex system investigated so far, Eu+, is used as example to discuss the possibility of spectroscopy on superheavy elements in traps.
      
This paper aims at finding a solution to the problem aroused in complex system simulation, where a specific functional federation is coupled with other simulation systems.
      
The brittleness model of complex system based on cellular automata
      
Now the research on the complex system is a hot spot.
      
Brittleness is one of the basic characteristics of a complex system.
      
In a complex system, after one of subsystems is struck to be collapsed, the whole system will collapse.
      
The result shows that the brittleness of complex system is existent and in addition some important behavior mode of complex system brittleness has been achieved.
      
Brittleness research on complex system based on brittle link entropy
      
As the scale of complex system is growing larger and larger, interferences from internal and outer system can result in the collapse of one subsystem in a complex system.
      
Moreover, the whole complex system can collapse consequently.
      
The mechanism of collapse of complex system is due to the brittleness of complex system that is presented and argued as the basic characteristic in this paper.
      
Thus, in this complex system, observation of binding is a good predictor of the presence of catalytic activity, and failure to observe binding is a poor predictor of the absence of catalytic activity.
      
Simulation, results showed that an inhibition of polymer hydrolysis by volatile fatty acids and acetogenesis by NH3 or LCFA could be responsible for the complex system dynamics during degradation of lipid-and protein-rich wastes.
      
In such a complex system, absence of marginal effects (effects of polymorphisms considered one at a time) is insufficient to exclude the implication of a polymorphism on disease risk.
      
Retinal inputs are treated as constraints that feed into a complex system of interacting visual cortical areas and thalamic nuclei, which are concurrently imposing constraints on one another.
      
More importantly, it identified four significant, unresolved requirements issues involving complex system interfaces and unanticipated dependencies.
      
 

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