Self-Regulation of Information Complexes DNA in Hierarchy Networks of Shannon Entropy inside Living Cells

Nikolay E. Galich
{"title":"Self-Regulation of Information Complexes DNA in Hierarchy Networks of Shannon Entropy inside Living Cells","authors":"Nikolay E. Galich","doi":"10.1016/j.aasri.2014.09.020","DOIUrl":null,"url":null,"abstract":"<div><p>Are analyzed varied experimental data on DNA fluorescence inside neutrophils and other aerobic cells in flow cytometry with nanometer spatial resolution, in the large populations of cells. Fluorescence distributions, for histograms various ranks r, define classes of Good and Bad information networks DNA for good and bad health of different people, in a very dense, fractal packing of information and entropy in networks of ‘exponentially small worlds’, at variation types of positive and negative stability for information distributions. In all cells exists invariance (homeostasis) for total Shannon entropy E=lnr in hierarchy networks entropy of any scales, for any rank r. Entropy's noises form signals for self-regulation of informational homeostasis. The main reconstructions of correlations and noises, for homeostasis support, at any states of health, occur in branching distributions of central moments in the most large-scale networks of entropy, for rank r &lt;32.</p></div>","PeriodicalId":100008,"journal":{"name":"AASRI Procedia","volume":"9 ","pages":"Pages 123-130"},"PeriodicalIF":0.0000,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.aasri.2014.09.020","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"AASRI Procedia","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2212671614001206","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

Are analyzed varied experimental data on DNA fluorescence inside neutrophils and other aerobic cells in flow cytometry with nanometer spatial resolution, in the large populations of cells. Fluorescence distributions, for histograms various ranks r, define classes of Good and Bad information networks DNA for good and bad health of different people, in a very dense, fractal packing of information and entropy in networks of ‘exponentially small worlds’, at variation types of positive and negative stability for information distributions. In all cells exists invariance (homeostasis) for total Shannon entropy E=lnr in hierarchy networks entropy of any scales, for any rank r. Entropy's noises form signals for self-regulation of informational homeostasis. The main reconstructions of correlations and noises, for homeostasis support, at any states of health, occur in branching distributions of central moments in the most large-scale networks of entropy, for rank r <32.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
活细胞内Shannon熵层次网络中信息复合物DNA的自我调节
本文分析了中性粒细胞和其他有氧细胞在纳米空间分辨率流式细胞术中的DNA荧光实验数据。荧光分布,对于不同等级的直方图r,定义了不同人健康状况良好和不良的信息网络DNA的类别,在“指数小世界”网络中,在信息和熵的非常密集的分形包装中,在信息分布的正稳定性和负稳定性的变化类型中。在所有细胞中,总香农熵E=lnr存在不变性(稳态),在任何尺度的层次网络中,熵的噪声构成信息稳态自我调节的信号。在任何健康状态下,为了支持稳态,相关性和噪声的主要重建发生在最大规模熵网络中中心矩的分支分布中,对于秩r <32。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Preface Preface Preface Preface Classification of Wild Animals based on SVM and Local Descriptors
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1