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The neurally motivated model and results have led to new insights on the nature of inference, called the "simulation semantics" hypothesis, which asserts that understanding is imaginative simulation.
That will electrically isolate adjacent sections from each other, which prevents signals from spreading throughout the model and results in very high input resistance.
The presented model and results can be used to accurately design PFCs.
The model and results are useful for improving bus service policies.
These tests were simulated with the model, and results are compared with experiment.
Furthermore, the model and results in the study can serve as references for further investigation, too.
New models are compared with the Perez model and results are discussed.
The present model and results could provide guidance for the design and operation of boilers.
Finally, the method is applied to an aircraft model and results are presented.
The model and results presented here are valuable for the design and optimization of TSRFCC technology.
Our model and results may be seen as building blocks for obtaining managerial insights.
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