Mathematical Modelling with Multidisciplinary Applications (M3A)
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Systematic Characterization of HighPower ShortDuration Ablation: Insight From an Advanced Virtual Model
(2021)Highpower shortduration (HPSD) recently emerged as a new approach to radiofrequency (RF) catheter ablation. However, basic and clinical data supporting its effectiveness and safety is still scarce 
Chronic stimulation induces adaptive potassium channel activity that restores calcium oscillations in pancreatic islets in vitro
(20200401)Insulin pulsatility is important to hepatic response in regulating blood glucose. Growing evidence suggests that insulinsecreting pancreatic βcells can adapt to chronic disruptions of pulsatility to rescue this physiologically ... 
Are BrainComputer Interfaces Feasible withIntegrated Photonic Chips?
(202111)The present paper examines the viability of a radically novel idea for braincomputer interface (BCI), which could lead to novel technological, experimental and clinical applications. BCIs are computerbased systems that ... 
Quantum Face Recognition Protocol with Ghost Imaging
(202110)Face recognition is one of the most ubiquitous examples of pattern recognition in machine learning, with numerous applications in security, access control, and law enforcement, among many others. Pattern recognition with ... 
Application of Quantum Natural Language Processing for Language Translation
(20210101)In this paper, we develop compositional vectorbased semantics of positive transitive sentences using quantum natural language processing (QNLP) to compare the parametrized quantum circuits of two synonymous simple sentences ... 
Tunnelling times, Larmor clock, and the elephant in the room
(20210511)A controversy surrounding the “tunnelling time problem” stems from the seeming inability of quantum mechanics to provide, in the usual way, a definition of the duration a particle is supposed to spend in a given region of ... 
Multiscale Modelling and Simulation of Advanced Battery Materials
(2021)Development of efficient strategies for the rational design of materials involved in the production and storage of renewable energy is essential for accelerating the transition to a lowcarbon economy. To contribute to ... 
Using discrete Ricci curvatures to infer COVID19 epidemic network fragility and systemic risk
(2021)The damage of the novel Coronavirus disease (COVID19) is reaching unprecedented scales. There are numerous classical epidemiology models trying to quantify epidemiology metrics. Usually, to forecast epidemics, classical ... 
Modeling dengue immune responses mediated by antibodies: A qualitative study
(20210901)Dengue fever is a viral mosquitoborne infection and a major international public health concern. With 2.5 billion people at risk of acquiring the infection around the world, disease severity is influenced by the immunological ... 
Unveiling Interfacial LiIon Dynamics in Li7La3Zr2O12/PEO(LiTFSI) Composite PolymerCeramic Solid Electrolytes for AllSolidState Lithium Batteries
(20210623)Unlocking the full potential of solidstate electrolytes (SSEs) is key to enabling safer and moreenergy dense technologies than today’s Liion batteries. In particular, composite materials comprising a conductive, flexible ... 
A Tool for Custom Construction of QMC and RQMC Point Sets
(2021)We present LatNet Builder, a software tool to find good parameters for lattice rules, polynomial lattice rules, and digital nets in base 2, for quasiMonte Carlo (QMC) and randomized quasiMonte Carlo (RQMC) sampling over ... 
Density Estimation by Monte Carlo and QuasiMonte Carlo
(2021)Estimating the density of a continuous random variable $X$ has been studied extensively in statistics, in the setting where $n$ independent observations of $X$ are given a priori and one wishes to estimate the density from ... 
Monte Carlo and QuasiMonte Carlo Density Estimation via Conditioning
(2021)Estimating the unknown density from which a given independent sample originates is more difficult than estimating the mean, in the sense that for the best popular nonparametric density estimators, the mean integrated ... 
A multiscale networkbased model of contagion dynamics: heterogeneity, spatial distancing and vaccination
(2021)Lockdown and vaccination policies have been the major concern in the last year in order to contain the SARSCoV2 infection during the COVID19 pandemic. In this paper we present a model able to evaluate alternative lockdown ... 
What is life? A perspective of the mathematical kinetic theory of active particles
(2021)The modeling of living systems composed of many interacting entities is treated in this paper with the aim of describing their collective behaviors. The mathematical approach is developed within the general framework of ... 
Microbial production of advanced biofuels
(2021)Concerns over climate change have necessitated a rethinking of our transportation infrastructure. One possible alternative to carbonpolluting fossil fuels are biofuels produced from a renewable carbon source using engineered ... 
Computing Higher Leray–Serre Spectral Sequences of Towers of Fibrations
(20201027)The higher Leray–Serre spectral sequence associated with a tower of fibrations represents a generalization of the classical Leray–Serre spectral sequence of a fibration. In this work, we present algorithms to compute higher ... 
Critical fluctuations in epidemic models explain COVID‑19 post‑lockdown dynamics
(20210706)As the COVID19 pandemic progressed, research on mathematical modeling became imperative and very influential to understand the epidemiological dynamics of disease spreading. The momentary reproduction ratio r(t) of an ... 
A spacefractional bidomain framework for cardiac electrophysiology: 1D alternans dynamics
(2021)Cardiac electrophysiology modeling deals with a complex network of excitable cells forming an intricate syncytium: the heart. The electrical activity of the heart shows recurrent spatial patterns of activation, known as ... 
Variance Reduction with ArrayRQMC for TauLeaping Simulation of Stochastic Biological and Chemical Reaction Networks
(2021)We explore the use of ArrayRQMC, a randomized quasiMonte Carlo method designed for the simulation of Markov chains, to reduce the variance when simulating stochastic biological or chemical reaction networks with ...