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The failure index is calculated by Monte Carlo simulation because the external loading and the material properties have random characteristics.
The HIL simulation with a little convergence is better than the divergent simulation because the previous one can be considered to have some simulation error while the latter one could destroy the hardware.
However, fast fading and power control aspects are not considered in the simulation because the optimization problem does not consider the time-varying condition.
We do not show the coagulation-suppressed simulation because the equatorial profiles almost exactly match those seen in the nominal simulation.
In the simulation, because the channel knowledge at both transmitter and receiver is not ideal, each user will experience some residual interference.
However, we achieved only a 1% gain in sustained performance over the total simulation, because the ratio of elapsed time of the kernels to total time decreased.
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The entrapment of micro-void was visualized clearly in the simulation because of the unbalanced molecular force at the interface during encapsulation.
This is somewhat lower than the theoretical predicted value (54.71% for CGI and 83.49% for upstream 2 kb from TSS) of the simulation because of the efficiency difference between the experiment and theoretical analysis (Supplementary Table S1).
These are missing in the simulation because here the flash does not interfere with the determination of the number of bound QH.
In the simulation, because of the random signal, there are many MAE values with respect to one normalized threshold, so the average MAE should be calculated.
Intermittent asthmatics were excluded from the simulation because of the limited environmental literature on intermittent asthmatics – inclusion criteria for most epidemiology and environmental studies require having persistent asthma.
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CEO of Professional Science Editing for Scientists @ prosciediting.com