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In the simulation process, we ignore the energy dissipation of these information packages.
During the ground motion simulation process, we generated 100 different M w = 7 earthquake scenarios and also used these scenarios for the sensitivity analysis.
Because sending and receiving flow, transmission flow, and vehicle occupancy are key variables in the simulation process, we review their formulae at time interval t in advance.
After a further investigation into the simulation process, we draw the conclusion that the aeolian bedforms is a system of self-organization and hierarchy with a fractal character.
In reality, divers continuously view the survey area; however, to speed up the simulation process we set the time step to two seconds (i.e. fish were counted every two seconds), which leaves the slight possibility of fish being undetected.
For example, based on the 5598 permuted pathways in the first simulation process, we obtained the genes' correlation values of the pseudo pathways in 108 expression profiles (shortened as Table II).
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To simplify the simulation processes, we assume that the carrier frequency offset (f q ) is known.
In the case of a two-moon data set, for making simulation process simple, we take (varphi = 1), (forall m,n), (p = 1), and (F x) = vert x vert ).
It will make our simulation process very inefficient if we yield only the decoy with the lowest energy at the end of the folding simulation.
The simulation process is described as below: We set a closed population with 100,000 individuals, and 1% of them with HIV positive.
The requisite data simulation process is simulator agnostic.
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