Advanced research frontiers are extended from biophysics relations on the Earth upto the discovering any type of alive matter within the whole space. Microorganisms’ motion within the molecular biology processes integrates variety of microorgnisms functions. In continuation of our Brownian motion phenomena research, we consistently build molecular-microorganisms structures hierarchy. We recognize everywhere biomimetic similarities between the particles in alive and nonalive matter. The research data are based on real experiments, without external energy impulses. So, we develop the analysis, inspired by fractal nature Brownian motion, as recognized joint parameter between particles in alive and nonalive biophysical systems. This is also in line with advance trends in hybrid submicroelectronic integrations. The important innovation in this paper is that we introduced approximation of trajectory and error calculations, using discrete mean square approximation, what cumulatively provide much more precise biophysical systems parameters. By this paper, we continue to generate new knowledge in direction to get complex relations between the particles clusters in biophysical systems condensed matter.

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离散均方近似应用于生物分子和布朗运动中的误差计算

先进的研究前沿从地球上的生物物理学关系扩展到在整个空间内发现任何类型的活物质。微生物在分子生物学过程中的运动整合了多种微生物功能。在继续我们的布朗运动现象研究的过程中，我们始终如一地构建分子微生物结构层次结构。我们到处都认识到活的和非活的物质中的粒子之间的仿生相似性。研究数据基于真实实验，没有外部能量脉冲。因此，我们在分形自然布朗运动的启发下开发了分析，作为活的和非活的生物物理系统中粒子之间公认的联合参数。这也符合混合亚微电子集成的发展趋势。本文的重要创新是我们引入了轨迹近似和误差计算，使用离散均方近似，累积提供了更精确的生物物理系统参数。通过本文，我们继续产生新的知识，以获取生物物理系统凝聚态物质中粒子簇之间的复杂关系。