A Method of Short-Term Forecasting of Ultradian and Infradian Rhythms Based on the Recording of Fluctuations in the Rates of Radioactive Decay of Potassium-40

IF 4.033 Q4 Biochemistry, Genetics and Molecular Biology
M. E. Diatroptov, M. A. Diatroptova, S. M. Slesarev
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引用次数: 0

Abstract

Simultaneous observations of radioactivity fluctuations from the natural isotope 40K were carried out in Moscow and Ulyanovsk. It was found that the changes in the counting rate from sources in these geographical points were not simultaneous, but were synchronized according to local solar time. Based on this observation and considering that radioactivity fluctuations correlated with body temperature rhythms, a method for short-term prediction of ultradian rhythms of animal activity has been developed and confirmed. An analysis of the consistency of the dynamics of the intensity of decay fluctuations and daily growth rates of an L-929 cell culture was also carried out. It was found that the highest correlation coefficient was recorded when the indicator of proliferative activity of the culture was compared with the intensity of decay fluctuations taken over the previous day. Thus, based on data on fluctuations in the radioactive decay of 40K, which are an indicator of the biotropic factor of the environment, it is possible to make short-term forecasts of ultradian and infradian biological rhythms.

Abstract Image

Abstract Image

基于钾-40 放射性衰变率波动记录的超昼夜节律和无昼夜节律短期预测方法
摘要 在莫斯科和乌里扬诺夫斯克对天然同位素 40K 的放射性波动进行了同步观测。结果发现,这两个地理点的放射源的计数率变化不是同时发生的,而是根据当地太阳时同步变化的。根据这一观察结果,并考虑到放射性波动与体温节律相关,制定并确认了一种短期预测动物活动超昼夜节律的方法。此外,还对 L-929 细胞培养物的衰变波动强度动态与日生长率的一致性进行了分析。结果发现,当将培养物的增殖活动指标与前一天的衰变波动强度进行比较时,相关系数最高。因此,根据 40K 放射性衰变波动的数据(这是环境中生物促进因素的指标),可以对超昼夜和非昼夜生物节律进行短期预测。
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来源期刊
Biophysics
Biophysics Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
1.20
自引率
0.00%
发文量
67
期刊介绍: Biophysics is a multidisciplinary international peer reviewed journal that covers a wide scope of problems related to the main physical mechanisms of processes taking place at different organization levels in biosystems. It includes structure and dynamics of macromolecules, cells and tissues; the influence of environment; energy transformation and transfer; thermodynamics; biological motility; population dynamics and cell differentiation modeling; biomechanics and tissue rheology; nonlinear phenomena, mathematical and cybernetics modeling of complex systems; and computational biology. The journal publishes short communications devoted and review articles.
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