Maxwell displacement currents in the biophysics of nature and man

The biophysics of nature and man is analyzed based on the propagation of electromagnetic field disturbances in the form of longitudinal-transverse waves and isolated pulses. The classical continuum methodology using Maxwell displacement currents and the Prandtl boundary layer approximation is applied. An extended system of electrodynamic equations is obtained and integrated using the characteristics method. The physics of bioinformation transmission in neural networks of wildlife and humans, the biophysics of the Kirlian effect, as well as the mechanics of information dissemination in artificial intelligence systems are explained. The presented material makes it possible to fully rehabilitate classical Newtonian mechanics and provides a well-founded mathematical description of the essence of the dynamics of the human soul and mind. In general, this study returns biophysics and all science to the stable materialistic positions that dominated the study of nature from the publication of Newton’s classical principles until the end of the 19th century.

Authors

Publication Details

Journal
Priroda
Published
2025-01-01
DOI
https://doi.org/10.7868/s0032874x25050019
Citations
1
Primary Topic
Earthquake Detection and Analysis
Type
article
Field-Weighted Citation Impact
1.87
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article

Maxwell displacement currents in the biophysics of nature and man

V. M. Levin
1 citations
Priroda
Earthquake Detection and Analysis
1.87
article

Maxwell displacement currents in the biophysics of nature and man

V. M. Levin
article en
1 citations

Abstract

The biophysics of nature and man is analyzed based on the propagation of electromagnetic field disturbances in the form of longitudinal-transverse waves and isolated pulses. The classical continuum methodology using Maxwell displacement currents and the Prandtl boundary layer approximation is applied. An extended system of electrodynamic equations is obtained and integrated using the characteristics method. The physics of bioinformation transmission in neural networks of wildlife and humans, the biophysics of the Kirlian effect, as well as the mechanics of information dissemination in artificial intelligence systems are explained. The presented material makes it possible to fully rehabilitate classical Newtonian mechanics and provides a well-founded mathematical description of the essence of the dynamics of the human soul and mind. In general, this study returns biophysics and all science to the stable materialistic positions that dominated the study of nature from the publication of Newton’s classical principles until the end of the 19th century.

Priroda(5(1317))
Openalex Percentile: Top 18%
Earthquake Detection and Analysis
1.87
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