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We then correct the saving potential and the cost of these technologies by a sequential pattern, by looking at which technologies enter before others based on costs.
We then correct M θ,1/σ (ω x, ω y ) by rotating counter-clockwise by − ϕ attack and scaling by σ attack about the origin, and obtain the Fourier magnitude M 0,1(ω x, ω y ) corresponding to the original watermarked image at orientation 0 and scale 1. Next, the watermark is recovered from M 0,1(ω x, ω y ) as follows.
We then correct for multiple hypothesis testing with the Benjamini-Hochberg false discovery rate procedure [28].
Here we construct a plasticity metric that is less abundance-dependent by design, and which we then correct for residual effects of protein abundance (see Methods).
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We then corrected for head movements using a 6-parameter motion correction algorithm.
We then corrected the estimated time series for vertical deformations measured by the subsidence meter to obtain the GPS/SM time series.
We then corrected for multiple testing by using the FDR.
We then corrected for the crosstalk by subtracting 0.6 from the ratio values.
We then corrected the expression data for GC content and the total number of reads.
We then corrected for the number of tissue types tested (10) using the Bonferroni adjustment (Abdi 2007).
We used 454 reads for de novo assembly of a draft sequence, which we then corrected with Illumina reads to ensure homopolymer accuracy in the final genome sequence.
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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