Review of Mathematical Modelling Techniques with Applications in Biosciences

被引:0
|
作者
Alridha A.H. [1 ]
Al-Jilawi A.S. [2 ]
Abd Alsharify F.H. [3 ]
机构
[1] General Directorate of Education, Babylon, Ministry of Education
[2] Department of Mathematics, College of Education, University of Babylon, Babylon
[3] Department of Physics, College of Science, University of Babylon, Babylon
关键词
Biological sciences applications; Differential equations; Mathematical modeling;
D O I
10.52866/ijcsm.2022.01.01.015
中图分类号
学科分类号
摘要
Modelling can provide intellectual frameworks that are necessary to translate data into knowledge. Mathematical modelling has played an important role in many applications, such as ecology, genetics, engineering, psychology, sociology, physics and computer science, in recent years. This study focused on reviewing mathematical modelling and its applications to biological systems by tracing many metabolic activities of cellular interactions on the one hand and between the spread of epidemics and population growth on the other hand. Various mathematical equations have played fundamental roles in the formation of these systems for model development procedures by describing them mathematically and establishing relationships that characterise the dynamics of a biological phenomenon. Consequently, the creation of new mathematical representations and simulation algorithms is important to the success of biological modelling initiatives. Finally, the optimisation approach performs its primary role in directing and controlling interactions by adjusting the parameters that provide the best possible result for the system. © 2022 College of Education, Al-Iraqia University. All Rights Reserved.
引用
收藏
页码:135 / 144
页数:9
相关论文
共 50 条
  • [31] AN UNDERGRADUATE BIOSCIENCES RESEARCH TECHNIQUES FACILITY
    COHEN, WD
    NOAILLES, PAH
    SERFATY, P
    WESCH, HL
    WILLIAMS, NK
    RAPS, S
    MOLECULAR BIOLOGY OF THE CELL, 1995, 6 : 647 - 647
  • [32] Review on Mathematical Modelling of Electroencephalography (EEG)
    Darbas M.
    Lohrengel S.
    Jahresbericht der Deutschen Mathematiker-Vereinigung, 2019, 121 (1) : 3 - 39
  • [33] Mathematical modelling of the composting process: A review
    Mason, IG
    WASTE MANAGEMENT, 2006, 26 (01) : 3 - 21
  • [34] A Review of Mathematical and Mechanical Modelling in Nanotechnology
    Thamwattana, N.
    Hill, J. M.
    Baowan, D.
    Cox, B. J.
    MATHEMATICS AND MECHANICS OF SOLIDS, 2010, 15 (07) : 708 - 717
  • [35] Mathematical Models for Erosion and Corrosion in Power Plants. A Review of Applicable Modelling Optimization Techniques
    Casesnoves, Francisco
    Antonov, Maksim
    Kulu, Priit
    2016 57TH INTERNATIONAL SCIENTIFIC CONFERENCE ON POWER AND ELECTRICAL ENGINEERING OF RIGA TECHNICAL UNIVERSITY (RTUCON), 2016,
  • [36] Mathematical modelling of solidification and melting: A review
    Hu, H
    Argyropoulos, SA
    MODELLING AND SIMULATION IN MATERIALS SCIENCE AND ENGINEERING, 1996, 4 (04) : 371 - 396
  • [37] A Review on Battery Modelling Techniques
    Tamilselvi, S.
    Gunasundari, S.
    Karuppiah, N.
    Rk, Abdul Razak
    Madhusudan, S.
    Nagarajan, Vikas Madhav
    Sathish, T.
    Shamim, Mohammed Zubair M.
    Saleel, C. Ahamed
    Afzal, Asif
    SUSTAINABILITY, 2021, 13 (18)
  • [38] APPLICATIONS OF MATHEMATICAL MODELLING IN ONCOLYTIC VIROTHERAPY AND IMMUNOTHERAPY
    JENNER, A. D. R. I. A. N. N. E. L.
    BULLETIN OF THE AUSTRALIAN MATHEMATICAL SOCIETY, 2020, 101 (03) : 522 - 524
  • [39] Nonmanifold geometric modelling techniques and applications
    Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao, 5 (393-399):
  • [40] Thermal turbulence modelling techniques and applications
    Schwab, JR
    TURBOMACHINERY FLUID DYNAMICS AND HEAT TRANSFER, 1997, 110 : 179 - 193