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This method works even better than using the Firefox Grab and Drag add-on.
Moreover, the proposed method works even if the number of total receive antennas is larger than that of transmit antennas.
In this way our method works even if no or little information on conditional dependence is available, and can be iteratively improved as new information becomes available.
This method works even on set in stains.
This method works even if your hair hasn't been shampooed.
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The theory is somewhat conservative, and in practice the method works well even when the values of K are below the bound in (13c).
This method works with even low copies of DNA and is based on magnesium pyrophosphate turbidity detection by an inexpensive photometer for quantitative analysis.
In addition, unlike angular domain decomposition, the angular multigrid method works well even when the angular diffusion coefficient is fairly large.
When ω=μ=β=1, Nayfeh's method givers qualitatively different results from the numerical integration while our method works well even when ω=1, μ=β=3, since Nayfeh's method is based on weak non-linearities and ω=1, μ=β=3 is beyond the valid range of assumption.
It is also found that the constant filter is applicable when the signal-to-noise ratio (SNR) is high (generally above 30 dB), the filter for the time-reversed pressure gradient field of the DTR method works stably even in the situation of low SNR, and the empirical filter performs best when the SNR is above 10 dB.
This type of method works best even in difficult condition as it was the case for detecting HT originating from closely related species (Table 4) or when using a 'real' E. coli recipient genome (Table 5).
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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