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In a sense, we only retained "quiet" times core field acceleration that, by chance, also corresponded to quiet external field conditions due to the solar minimum of activity.
For each metabolite, we only retained output identifiers with the highest confidence score out of all identifiers returned for that same metabolite.
This one-step snowball crawl returned a network of more than 38 million users; of these, we only retained users that had sent at least one message during the observation period, as well as their connections to other users that were also involved in protest-related communication.
Further, we only retained hairpins that were predicted in both organisms, i.e. on corresponding strands of aligned segments.
For those miRNAs (clustered on Xq27.3) without target recorded in the two databases mentioned above, we only retained those putative targets uniformly predicted by miRanda and miRmap 2.0.
To unclutter the map and show only the most relevant relationships per journal, we only retained the 5 strongest outbound relationships for each journal.
Furthermore, the reads of D4* have been quality filtered, so that we only retained reads in which all bases have a high quality score.
Influenza could not be confirmed by viral culture or RT-PCR in the index subjects in 6 of the 128 households; therefore we only retained 122 households for analysis of crude SARs.
In order to account for activity, we only retained variably expressed genes which were with at least 2-fold ratio variation from the mean in at least two samples, as suggested by the authors of [63].
For predictor pairs with Pearson r ≥0.9, we only retained one of the variables for the modeling [48] by selecting the variable with the strongest biological interpretability and the smallest correlation to the other predictor variables (Tables 1, 2).
We only retained the subtitle files in text-based SRT format and excluded all files in VobSub format, because the latter are image-based and require an additional optical character recognition (OCR) process to convert them into text (which certainly for Chinese characters is very error prone and needs to be proofread by humans).
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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