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Academic Journal of Environmental Biology, 2022, 3(3); doi: 10.38007/AJEB.2022.030305.

Sub Magnetic Environmental Biology based on Data Mining Algorithm

Author(s)

Mojun Du

Corresponding Author:
Mojun Du
Affiliation(s)

Communication University of China, Beijing, China

Abstract

With the development of manned space technology, the scope of human activities has expanded rapidly, and astronauts will stay in space longer and longer. Space is an extreme environment, including microgravity, cosmic radiation and sub magnetic field. There have been many reports on the effects of microgravity and cosmic rays on human body, but there are few studies on the effects of sub magnetic field on life. This paper will study and analyze the biological effect (BE) of sub magnetic environment based on data mining algorithm(DMA). Taking Chlorella as the research object, the sub magnetic field of algal cells is processed by using data mining technology, and the effects of sub magnetic field on the cell cycle and algal cell activity of Chlamydomonas reinhardtii(CR) mediated by blue light are explored. The results of the combined action of sub magnetic field and organism constitute the BE of magnetic field. Among them, the different sources of magnetic field, the size and direction of field strength, the action time, as well as the species and sensitivity of organism itself, the action position and other factors will affect the biological magnetic BE, which initially provides a reference basis for the possible BE of green algae in the process of sub magnetic field culture.

Keywords

Data Mining Algorithm, Sub Magnetic Environment, Biology, Biological Effect

Cite This Paper

Mojun Du. Sub Magnetic Environmental Biology based on Data Mining Algorithm. Academic Journal of Environmental Biology (2022), Vol. 3, Issue 3: 35-43. https://doi.org/10.38007/AJEB.2022.030305.

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