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While the figure is generated from the dataset on unary binding, similar graphs are obtained for the other six datasets (data not shown).
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The figure was generated from the GTOP30 digital elevation data set using GMT.
The figure was generated from the KEGG pathways using the enrichment protocol by GeneTrail tool.
The convergence rates are verified and new blowup figures are generated from the numerical experiments.
The key thing is that the proportions of black people in these figures are generated from the interaction between police decisions on whom to target and the underlying (and much greater) number of people who are involved in drug supply.
The key thing is that the proportions of black people in these figures are generated from the interaction between police decisions on whom to target and the underlying (and much greater) numbers of people who are involved in drug supply.
All figures were generated from at least three repeated experiments with similar patterns.
Clickable figures are generated from the R code with some additional calls to Python code.
Gene names and accession numbers displayed in all figures were generated from the SMD online analysis software, and accession numbers were further verified using the S.O.U.R.C.E online tool (http://genome-www5.stanford.edu/cgi-bin/source/sourceSearch).
Although we have no information about the other health conditions of patients who were hospitalized or died, these figures are generated from laboratory-confirmed outbreaks.
Part B of Figure 3 is generated from the larger dataset, which has 398 microbial species, and genomes distances were calculated based on composite distance from ComPhy.
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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