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Developing a Mathematics Curriculum for the Biosciences
PRIMUS, 2021This article describes the authors’ experiences developing and implementing an innovative curriculum connecting mathematics and the biological sciences.
Sheldon P. Gordon +6 more
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Editorial for the special issue of mathematical biosciences, BIOCOMP 2012
Mathematical Biosciences, 2013Alan Hastings +2 more
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Tutorials in Mathematical Biosciences IV
, 2008 The book offers an easy introduction to fast growing research areas in evolution of species, population genetics, ecological models, and population dynamics. The first two chapters review the concept and methodologies of phylogenetic trees; computational
Friedman, Avner
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Mathematical Models as Bioscience Educational Informatics Tools
2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2018Organizations and universities have started preparing teachers and students to use mathematical models delivered through technology for improving student's understanding of concepts, pedagogy and laboratory skill training. Bioscience education has started involving virtual laboratories as an appropriate technology to allow student's reflective learning.
Dhanush Kumar +7 more
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Journal of Biological Education, 2017
This article reports on data from a large-scale study investigating students’ mathematical transitions to higher education.
Jessica Bowyer, Ellie Darlington
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This article reports on data from a large-scale study investigating students’ mathematical transitions to higher education.
Jessica Bowyer, Ellie Darlington
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The Tikhonov Theorem in Some Models of Mathematical Biosciences
2014In this chapter we discuss some applications of the Tikhonov theorem to models presented in Chap. 1. We provide a rigorous derivation of the Allee model from a system of mass-action type population equations and discuss an SIS epidemiological model with vital processes in which the latter act on a much slower timescale than the disease. This chapter is
Jacek Banasiak, Mirosław Lachowicz
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Application of Fractional Optimal Control Problems on Some Mathematical Bioscience
2020In this chapter, the authors present a short review of a fractional-order control models, which are described by a system of fractional differential equations. Fractional derivatives describe the behaviour of dynamical systems better than classical calculus, where it can reflect the effect of memory.
Ismail Gad Ameen, Hegagi Mohamed Ali
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Mathematical Biosciences, 2015
αA 15.6 l Volume of adipose tissue A 70 kg individual with a BMI of 21.5 kg/m 2 (healthy) has an estimated body fat of 20% (1994 National Health and Nutrition Examination Study). Conversion to volume is obtained from an adipose tissue density of 0.9 kg/l. αB 5 l Volume of blood Ref. [19]. αL 1.6 l Volume of the liver Ref. [5].
Adrian C. Pratt +2 more
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αA 15.6 l Volume of adipose tissue A 70 kg individual with a BMI of 21.5 kg/m 2 (healthy) has an estimated body fat of 20% (1994 National Health and Nutrition Examination Study). Conversion to volume is obtained from an adipose tissue density of 0.9 kg/l. αB 5 l Volume of blood Ref. [19]. αL 1.6 l Volume of the liver Ref. [5].
Adrian C. Pratt +2 more
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Mathematics and biosciences: An interaction from exemplifications
In this paper, we aim to present some mathematical concepts, applied in examples related to Biosciences, for a better discussion and understanding of the interaction of these two areas. In fact, since the second half of the twentieth century, Mathematics has played an important role, and even a protagonist, in the study of Biosciences.Bárbara Garcia Brandemberg +1 more
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