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To verify the method and compare the resulting power consumption of the simulation and a real environment behavior, the method is deployed and tested on a target NFC-System.
If other tools (i.e. SNA and CRNT) can identify the possibility of a certain dynamic behavior, the method we explain in the following sections provides an essential tool to determine where this behavior might occur.
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For many current questions on transport and especially on mobility behavior, the methods of the social sciences are particularly suitable.
Aggregate behavior The methods under this category have been used to predict web content popularity based on the aggregate users' attention received early after content publication.
In practical applications, i.e. systems biology models of different sizes and behaviors, the method competes well with established integrators in solving the system equations, and it outperforms them significantly when local parameter sensitivities are evaluated.
Numerical examples illustrating the behavior of the method are presented.
Under suitable conditions on the behavior of the method, we establish global and local convergence properties.
Several test problems are computed to both verify and display the behavior of the method.
Numerical examples are presented which illustrate the behavior of the method.
We study the behavior of the method on a non linear scalar problem.
Numerical examples are presented to demonstrate the algorithms's accuracy and convergence properties, and illustrate the behavior of the method.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com