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The macroscopic FE calculation was designed to update the temperature field and simulate a high cooling rate.
To verify the signal analysis reliability and to estimate the dispersive character of the waves an algorithm for dispersive waveform calculation was designed.
The sample size calculation was designed on the assumption to detect an improvement by 20% in this primary endpoint.
The sample size calculation was designed on the assumption to detect a decrease of the local recurrence rate after one year by 20% (from 30%to10%0%) with a power of 90%.
The revised sample size calculation was designed with two-sided, α=0.05, 90% power to detect a null median TTP of 2 months and experimental median TTP of 4 months (N=108) after a 36-month accrual period and 18-month follow-up (N=92).
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But an unusual event or series of them could make the index more volatile for a period, and that is what the value-at-risk calculation is designed to show.
A class of optimal filters for image gradient calculation is designed according to Parks McClellan algorithm.
In this section, a class of 4-band symmetric biorthogonal wavelet filters for fast calculation is designed, and the corresponding wavelet filters are constructed.
The level III calculation is designed for the general case where λ is not available before the analysis.
Considering these characteristics, a fast compass alignment method based on iterative calculation is designed for SINS in this paper.
However, the traditional definition of the percentile calculation is designed only for 1-D anthropometric data estimates.
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CEO of Professional Science Editing for Scientists @ prosciediting.com