From the principle of sustainable non-equilibrium to sustainable development

IF 2 4区 生物学 Q2 BIOLOGY
Dmitry Ermakov , Alexander Ermakov
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引用次数: 0

Abstract

Ervin Bauer was Hungarian and Soviet scientist, who had a short, but bright and talented life. In 1935, working at the Institute of Experimental Medicine in the USSR, he published the book «Theoretical Biology», in which he proposed an idea of a special “non-equilibrium” state of living systems and the existence of internal machineries in the organism that work against thermodynamic equilibrium and increase the organism's capacity for work. Currently, this idea is called “the principle of sustainable non-equilibrium” or “Bauer's principle”. During the repressions of the 1930s in the USSR, Bauer was executed, the book « Theoretical Biology» was banned. Currently, his works are poorly known, especially outside the post-socialist region. We believe that his ideas could help in rethinking not only the biochemistry and bioenergetics of cells and tissues of living organisms, but also biogeochemical and civilizational processes on a planetary scale.

从可持续非均衡原则到可持续发展。
埃尔文-鲍尔是匈牙利和苏联科学家,一生短暂,但才华横溢。1935 年,在苏联实验医学研究所工作的他出版了《理论生物学》一书,在书中他提出了生命系统的特殊 "非平衡 "状态,以及生物体内存在违反热力学平衡、提高生物体工作能力的内部机制的观点。目前,这一观点被称为 "可持续非平衡原理 "或 "鲍尔原理"。20 世纪 30 年代苏联镇压期间,鲍尔被处决,《理论生物学》一书被禁。目前,他的著作鲜为人知,尤其是在后社会主义地区以外。我们相信,他的思想不仅有助于重新思考生物体细胞和组织的生物化学和生物能,而且有助于重新思考地球范围内的生物地球化学和文明进程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biosystems
Biosystems 生物-生物学
CiteScore
3.70
自引率
18.80%
发文量
129
审稿时长
34 days
期刊介绍: BioSystems encourages experimental, computational, and theoretical articles that link biology, evolutionary thinking, and the information processing sciences. The link areas form a circle that encompasses the fundamental nature of biological information processing, computational modeling of complex biological systems, evolutionary models of computation, the application of biological principles to the design of novel computing systems, and the use of biomolecular materials to synthesize artificial systems that capture essential principles of natural biological information processing.
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