Welcome to Scholar Publishing Group

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

Sub Magnetic Environmental Biology based on Data Mining Algorithm


Mojun Du

Corresponding Author:
Mojun Du

Communication University of China, Beijing, China


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.


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.


[1] Maity S S, Tiwari P K, Pal S. An Ecoepidemic Seasonally Forced Model For The Combined Effects Of Fear, Additional Foods And Selective Predation. Journal of Biological Systems, 2022, 30(02):285-321.

[2] Inaniwa T, Suzuki M, Sato B S, et al. Effect of External Magnetic Fields on BEiveness of Proton Beams - ScienceDirect. International Journal of Radiation Oncology*Biology*Physics, 2020, 106( 3):597-603. https://doi.org/10.1016/j.ijrobp.2019.10.040

[3] Barreto A, Dias A, Duarte B, et al. BEs and bioaccumulation of gold in gilthead seabream {Spams aurata) - Nano versus ionic form. The Science of the Total Environment, 2020, 716(May10):137026.1-137026.13.

[4] Lazhar, Roubache, Kamel, et al. Elementary subdomain technique for magnetic field calculation in rotating electrical machines with local saturation effect. COMPEL, 2019, 38(1):24-45.

[5] Hossain M A, Ferdousi R, Hossain S A, et al. A Novel Framework for Recommending DMA in Dynamic IoT Environment. IEEE Access, 2020, PP(99):1-1. https://doi.org/10.1109/ACCESS.2020.3019480

[6] Muppalaneni N B, Ma M, Gurumoorthy S. [SpringerBriefs in Applied Sciences and Technology] Soft Computing and Medical Bioinformatics CNN DMA for Detecting Credit Card Fraud. 2019, 10.1007/978-981-13-0059-2(Chapter 10):85-93.

[7] Mohadab M E, Bouikhalene B, Safi S. Automatic CV processing for scientific research using DMA. Journal of King Saud University - Computer and Information Sciences, 2020, 32( 5):561-567. https://doi.org/10.1016/j.jksuci.2018.07.002

[8] Kazanidis I, Valsamidis S, Gounopoulos E, et al. Proposed S-Algo+DMA for web platforms course content and usage evaluation. Soft Computing, 2020, 24(19):14861-14883. https://doi.org/10.1007/s00500-020-04841-8

[9] Abboud Y, Brun A, Boyer A. C3Ro: an Efficient Mining Algorithm of Extended-Closed Contiguous Robust Sequential Patterns in Noisy Data. Expert Systems with Applications, 2019, 131(OCT.):172-189. https://doi.org/10.1016/j.eswa.2019.04.058

[10] Wang H, Dong L, Li M, et al. The evolution of fractionated prostate cancer radiotherapy. International Journal of Radiation OncologyBiologyPhysics, 2019, 61(1-supp-S):725-735.

[11] Jayalakshmi N, Padmaja P, Suma G J. An Approach for Interesting Subgraph Mining from Web Log Data Using W-Gaston Algorithm. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2019, 27(2):277-301.

[12] Man T, Zhukova N A, Thaw A M, et al. A decision support system for DM algorithm selection based on module extraction. Procedia Computer Science, 2021, 186(3):529-537.

[13] Yaseen A, Nazir M, Sabah A, et al. Dimensionality Reduction for Internet of Things Using the Cuckoo Search Algorithm: Reduced Implications of Mesh Sensor Technologies. Wireless Communications and Mobile Computing, 2020, 2020(2011):1-21. https://doi.org/10.1155/2020/8897026

[14] Bjrkbacka H. Atherosclerosis: cell biology and lipoproteins. Current Opinion in Lipidology, 2021, 32(1):74-75.

[15] Sanada T, Hirata Y, Naito Y, et al. original research transmission of hbv dna mediated by ceramide-triggered extracellular vesicles. Cellular & Molecular Gastroenterology & Hepatology, 2019, 3(2):272-283. https://doi.org/10.1016/j.jcmgh.2016.10.003

[16] Grossberg S. Classical and Instrumental Learning by Neural Networks. 2019, 4(1):1-0.

[17] Alexander J, Scharton-Kersten T M, Yap G, et al. Toxoplasma gondii infection induces the formation of host's nuclear granules containing poly(A)-binding proteins. Philosophical Transactions Biological ences, 2020, 352(1359):1355-1359. https://doi.org/10.1098/rstb.1997.0120

[18] Cunha V D, Gaa M, Forterre P. The expanding Asgardarchaea and their elusive relationships with Eukarya. mLife, 2022, 1(1):3-12. https://doi.org/10.1002/mlf2.12012