Signal propagation in complex networks drives epidemics, is responsible for information
going viral, promotes trust and facilitates moral behavior in social groups, enables the …

In this topical review we consider stochastic processes under resetting, which have attracted
a lot of attention in recent years. We begin with the simple example of a diffusive particle …

The availability of large datasets has boosted the application of machine learning in many
fields and is now starting to shape active-matter research as well. Machine learning …

Random walk is a fundamental concept with applications ranging from quantum physics to
econometrics. Remarkably, one specific model of random walks appears to be ubiquitous …

Modern microscopic techniques following the stochastic motion of labelled tracer particles
have uncovered significant deviations from the laws of Brownian motion in a variety of …

T cell migration is essential for T cell responses; it allows for the detection of cognate antigen
at the surface of antigen-presenting cells and for interactions with other cells involved in the …

Differently from passive Brownian particles, active particles, also known as self-propelled
Brownian particles or microswimmers and nanoswimmers, are capable of taking up energy …

We provide a unified renewal approach to the problem of random search for several targets
under resetting. This framework does not rely on specific properties of the search process …

The interior of a living cell is a crowded, heterogenuous, fluctuating environment. Hence, a
major challenge in modeling intracellular transport is to analyze stochastic processes within …

In this work, we analyze the growth of the cumulative number of confirmed infected cases by
a novel coronavirus (COVID-19) until March 27, 2020, from countries of Asia, Europe, North …