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In this study, the motion artifact is removed using the filter bank and the matched filter.
The title is removed using the set_plot_title command and a color bar for the image is added above the plot using the add_colorbar command.
We also find that the estimation of risk-neutral density functions and out-of-sample price forecasting is significantly improved after noise is removed using the wavelet method.
Conditioning on n is removed using the prior distribution over n: P Γ , N ( n ) = N ! n 1 ! n 2 !
The remaining noise is removed using the spatial filter from [20], which operates in wavelet domain and uses luminance to restore lost details in the corresponding depth image.
Shown are the running ground truth of the differential effect (black dotted line), the estimate when the designated number of samples is removed using the proposed pair-wise compatibility-based selection (blue line; see Section 2.2), and the estimate when the designated number of samples is removed using repeated random draws based sample selection (red line; see Section 2.4).
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Redundant reads were removed using the duplicate removal plugin in CLC.
Fine hairs were removed using the same hair removal lotion as in the ex vivo sample.
Labeling was performed at 37°C for 1 3 h and the unincorporated nucleotides were removed using the QiaQuick Nucleotide Removal kit.
Unincorporated radioactive nucleotides were removed using the QIAquick Nucleotide Removal kit (Qiagen).
PCR duplicates were removed using the samtools dedup tool.
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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