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In the processing of recorded data, we first subtract the Doppler shift calculated from the orbital information and a model atmosphere from the original signal by heterodyning, thereby suppressing the frequency variation and enabling narrow-band filtering.
To minimize its adverse effect, we first subtract the lithospheric field contribution from SH degrees 16 45 of the model derived in process 2 from the scalar and vector measurements before estimating the along-track correction.
To do so, we first subtract the mean P offset from the collected raw spectra, and then divide the entire 2.4 MHz ISM band into a set of 2 MHz wide consecutive intervals (2 MHz is the largest resolution bandwidth among the considered devices, see Table 1) and perform integration over each of these intervals using the CDF toolbox.
To obtain R ^ j in this case, we first subtract mean of each factor across conditions in each row, then we take the bottom 50% of rows ranked by the total variance of centred data to calculate the correlation matrix.
For each data window, we first subtract its corresponding mean, for either the logged or the original data, and center the prior linear model around 0. Consequently, the hyperparameters θ0 and Σ0 for the NIG prior are set to (14) 0 1 2, log 10 2 0 0 1 N, 0 0, 1 0 2 0 0 2, for the log-linear (exponential) and linear models, respectively.
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To analyze the FRET data, we first subtracted the fluorescence background from the buffer alone.
To calculate non-phase-locked power changes, we first subtracted the mean ERP from each trial23.
Before computing this correlation coefficient, we first subtracted the hold period FR (from the 200 ms epoch before checkerboard cue onset).
We then normalized EEG power using Z transformation (i.e., we first subtracted the average value from the EEG data and then divided by the standard deviation across all time bins within each frequency and electrode).
To obtain the displacement waveforms, we first subtracted a constant value from each original acceleration waveform to set the onset acceleration to zero.
For analysis of the ChIP-seq data set, we first subtracted the IgG ChIP-seq data from the Rad21 ChIP-seq data and employed the MACS algorithm (1.4.0beta version) to call binding peaks.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com