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. 2021 Feb 10;11:3463. doi: 10.1038/s41598-021-82864-3

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© The Author(s) 2021

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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Power-law distribution consists of degree and its counted number. Each state, such as HS, HW, LS and LW, has 20 samples. Plots (A), (B), (C) and (F) are the distribution before chi2 algorithm. In (B), WKY and SHR are plotted without considering the anesthesia factor, and each distribution is deduced from 40 samples. In contrast, plots (D), (E), (G), and (H) are the distribution after chi2 algorithm.