Mathematical Modelling with Multidisciplinary Applications (M3A)
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Modeling Dengue Immune Responses Mediated by Antibodies: Insights on the Biological Parameters to Describe Dengue Infections
(20220318)Dengue fever is a viral mosquitoborne disease, a significant global health concern, with more than one third of the world population at risk of acquiring the disease. Caused by 4 antigenically distinct but related virus ... 
Seasonally Forced SIR Systems Applied to Respiratory Infectious Diseases, Bifurcations, and Chaos
(20220303)We investigate models to describe respiratory diseases with fast mutating virus pathogens such that after some years the aquired resistance is lost and hosts can be infected with new variants of the pathogen. Such models ... 
Hyperactivation of monocytes and macrophages in MCI patients contributes to the progression of Alzheimer's disease
(20211201)Background: Alzheimer’s disease (AD) is the most common neurodegenerative disease ultimately manifesting as clinical dementia. Despite considerable effort and ample experimental data, the role of neuroinflammation related ... 
Mathematical models for dengue fever epidemiology: a 10year systematic review
(20220215)Mathematical models have a long history in epidemiological research, and as the COVID19 pandemic progressed, research on mathematical modeling became imperative and very influential to understand the epidemiological ... 
Cross immunity protection and antibodydependent enhancement in a distributed delay dynamic model
(20220101)Dengue fever is endemic in tropical and subtropical countries, and certain important features of the spread of dengue fever continue to pose challenges for mathematical modelling. Here we propose a system of integrodifferential ... 
Effect of General CrossImmunity Protection and Antibody Dependent Enhancement in Dengue Dynamics
(20220213)A mathematical model to describe the dynamic of a multiserotype infectious disease at the population level is studied. Applied to dengue fever epidemiology, we analyse a mathematical model with time delay to describe the ... 
Deterministic and Stochastic Dynamics of COVID19: The Case Study of Italy and Spain
(20220213)In December 2019, a severe respiratory syndrome (COVID19) caused by a new coronavirus (SARSCoV2) was identified in China and spread rapidly around the globe. COVID19 was declared a pandemic by the World Health Organization ... 
Modelling Holling type II functional response in deterministic and stochastic food chain models with mass conservation
(20220301)The RosenzweigMacArthur predatorprey model is the building block in modeling food chain, food webs and ecosystems. There are a number of hidden assumptions involved in the derivation. For instance the prey population ... 
Wigner's friends, tunnelling times and Feynman's "only mystery of quantum mechanics"
(20220113)Recent developments in elementary quantum mechanics have seen a number of extraordinary claims regarding quantum behaviour, and even questioning internal consistency of the theory. These are, we argue, different disguises ... 
Spatially Extended SHAR Epidemiological Framework of Infectious Disease Transmission
(20220213)Mathematical models play an important role in epidemiology. The inclusion of a spatial component in epidemiological models is especially important to understand and address many relevant ecological and public health ... 
Stochastic facilitation in heteroclinic communication channels
(20210901)Biological neural systems encode and transmit information as patterns of activity tracing complex trajectories in highdimensional state spaces, inspiring alternative paradigms of information processing. Heteroclinic ... 
Classification of bursting patterns: A tale of two ducks
(20220120)Bursting is one of the fundamental rhythms that excitable cells can generate either in response to incoming stimuli or intrinsically. It has been a topic of intense research in computational biology for several decades. ... 
The role of mild and asymptomatic infections on COVID19 vaccines performance: A modeling study
(20211116)Introduction: Different COVID19 vaccine efficacies are reported, with remarkable effectiveness against severe disease. The so called sterilizing immunity, occurring when vaccinated individuals cannot transmit the virus, ... 
An Optimizing Method for Performance and Resource Utilization in Quantum Machine Learning Circuits
(202201)Quantum computing is a new and advanced topic that refers to calculations based on the principles of quantum mechanics. Itmakes certain kinds of problems be solved easier compared to classical computers. This advantage of ... 
Modeling and optimal control of dengue disease with screening and information
(20211127)This study presents a mathematical model for dengue transmission which quantifies two very important aspects: one, the impact of informationbased behavioural response, and the other, the segregation of infected human ... 
The topology of higherorder complexes associated with brain hubs in human connectomes
(20201201)Higherorder connectivity in complex systems described by simplexes of different orders provides a geometry for simplexbased dynamical variables and interactions. Simplicial complexes that constitute a functional geometry ... 
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 ...