Random walks and related spatial stochastic models have been used in a range of
application areas, including animal and plant ecology, infectious disease epidemiology …

CONTEXT Digital phytosanitation is at the forefront of the Agriculture 4.0 revolution, using
digital technologies and data-driven approaches for effective pest and disease …

Abstract Background and Objective: Models of the cardiomyocyte action potential have
contributed immensely to the understanding of heart function, pathophysiology, and the …

Parameter inference and uncertainty quantification are important steps when relating
mathematical models to real-world observations and when estimating uncertainty in model …

Voltage-clamp waveforms are imposed in the patch-clamp electrophysiology technique to
provoke ion currents, the particular waveform that is used is known as the “voltage-clamp …

Parameterizing mathematical models of biological systems often requires fitting to stable
periodic data. In cardiac electrophysiology this typically requires converging to a stable …

Cardiac ventricular myocyte action potential dynamics are regulated by intricate and
nonlinear interactions between the cell transmembrane potential and ionic currents and …

Mathematical models are increasingly being relied upon to provide quantitatively accurate
predictions of cardiac electrophysiology. Many such models concern the behaviour of …

We provide details of a series of short voltage-clamp protocols designed for gathering a
large amount of information on hERG (Kv11. 1) ion channel gating. The protocols have a …

Uncertainty theory, introduced by Professor Baoding Liu of Tsinghua University in China in
2007, has lately made significant progress. It serves as an advanced and adaptable …