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Dense Patterns, Switching, Stability and Self-Regulation in Information Networks DNA inside Living Cells

机译:在活细胞内信息网络DNA中的密集模式,切换,稳定性和自我调节

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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. Analysis of fluorescence distributions for histograms various ranks shows that exist two classes of Good and Bad networks for DNA activity, for a good and bad health of different people, with two classes of 'n' or V shaped curves for fractal correlations densely packed in twice double logarithmic scale, Here reflected two types of positive and negative trends in changes fractal dimension and stability of information distributions. All types of DNA activity packed in networks of 'exponentially small worlds'. In all cells exists invariance (homeostasis) for total Shannon entropy and self-regulation of distributions of noises entropy for support informational homeostasis. Information networks DNA in living cells are a sample for future information engineering.
机译:在纳米空间分辨率的流式细胞术中的嗜中性粒细胞和其他好氧细胞中的DNA荧光中的不同实验数据分析了多种实验数据,在细胞的大群体中。直方图的荧光分布的分析各种等级显示,对于DNA活动的良好和不良网络,对于不同人的良好和糟糕的健康,两类'N'或V形曲线用于分形相关性,伴有两次双对数刻度,这里反映了两种类型的正负趋势,改变了分形维数和信息分布的稳定性。所有类型的DNA活动包装在“指数小世界”网络中。在所有细胞中都存在于总香农熵的不变性(稳态)和支持信息稳态的噪声熵分布的自我调节。信息网络在活细胞中的DNA是未来信息工程的样本。

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