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This is because, in our simulation, the user 3 has the best channel condition so that it can achieve higher sum rate.
This phenomenon occurs because in our simulation, when α decreases, the SNR for a given β increases, counterbalancing the negative effect of the transfer function miss-specification.
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Because ECM in our simulation is not confined by physical boundaries and does not have a volume constraint, the pressure in our tumor does not change due to tumor growth.
Because in our simulations (BA and PL based calibration, and the two divergence rates 1.3% and 2.3% Myr−1) the "ucld.stdev" parameters were all <0.3 with a frequency histogram abutting 0, we chose a strict molecular clock for the analyses [51].
This is probably a conservative measure, because in our simulations we did not close a receptor for registration after an ion was bound.
Because, in our simulations, the perturbation of the morphostat gradient by the solid block creates more aberrant cells than by the perforated block, the chances for subsequent genetic and epigenetic changes may be greater with the former.
Our results on the relative abundance of planetesimals do not depend on the assumed distribution of planetesimals, because each test particle in our simulation has no gravitational force on the other particles.
Residential areas were not included in our simulation, because of missing data.
We chose VanetMobiSim in our simulation because it supports both micro-mobility and macro-mobility models [17, 18].
Because the selected signal length in our simulation is M c N c = 2000, the shift length is τ = 100 and the signal amplitude is A = 1, the theoretical value of P NZ(k) can be computed as P NZ k NZ) = A 4(N c M c − τ) = 1900 when k = k NZ = 4 from (17).
At present, this trade-off has not been accommodated in our simulation because the cell growth profile is fixed in accordance with experimental results obtained using jar fermenters [ 10].
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