Applying differentiable programming techniques and machine learning algorithms to foreign
programs requires developers to either rewrite their code in a machine learning framework …

Sheep production systems face numerous challenges, which make decision-making a
process fraught with risks and uncertainties. Modelling is a helpful tool in this respect, as it …

Our paper reviews some key concepts in chemical reaction network theory and
mathematical epidemiology, and examines their intersection, with three goals. The first is to …

In this paper, a chaos-based encryption/decryption scheme using a novel memristive Chua
oscillator to protect medical images is presented. The novel Chua oscillator is constructed by …

Some of the most common mathematical models in biology, chemistry, physics, and
engineering are polynomial dynamical systems, ie, systems of differential equations with …

Biochemical networks integrate enzyme-mediated substrate conversions with non-
enzymatic complex formation and disassembly to accomplish complex biochemical and …

Metabolism results from enzymatic-and non-enzymatic interactions of several molecules, is
easily parameterized with the dissociation constant and occurs via biochemical networks …

It is known that rank‐two bimolecular mass‐action systems do not admit limit cycles. With a
view to understanding which small mass‐action systems admit oscillation, in this paper we …

Signomials are obtained by generalizing polynomials to allow for arbitrary real exponents.
This generalization offers great expressive power but has historically sacrificed the …

Chemical reactions and diffusion are two basic mechanisms governing the dynamics of
molecules in a fluid. As such, they play a critical role in molecular communication for …