3 papers
q-bio.PE2026
On a phenotype-structured Shigesada--Kawasaki--Teramoto model: Turing instability and pattern selection under fast phenotype switching
Davide Cusseddu, Gaetana Gambino, Tommaso Lorenzi
The Shigesada-Kawasaki-Teramoto (SKT) model has become a classical modelling framework for studying spatial segregation and cross-diffusion-driven pattern formation in competing po…
math-ph2026
A Damage-Driven Model for Duchenne Muscular Dystrophy: Early-Stage Dynamics and Invasion Thresholds
Gaetana Gambino, Francesco Gargano, Alessandra Rizzo +1
We introduce a spatially extended mathematical model for Duchenne muscular dystrophy based on a damage-driven paradigm, in which immune recruitment is triggered by tissue injury. T…
nlin.PS2026
Nonclassical Turing instabilities induced by superdiffusive transport in FitzHugh-Nagumo dynamics
Rossella Rizzo, Gaetana Gambino, Vincenzo Sciacca +1
We investigate diffusion-driven instabilities in a FitzHugh-Nagumo reaction-diffusion system with superdiffusive transport, modeled by fractional Laplacian operators with different…