{"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 <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.