Articolo in rivista

Hamiltonian equations for scale-invariant waves

We use a Hamiltonian formalism to derive equations for weakly nonlinear scale-invariant waves. We apply the results to nonlinear surface waves in elasticity and magnetohydrodynamics that satisfy nonlocal generalizations of the inviscid Burgers equation.

Autophagosome-lysosome fusion triggers a lysosomal response mediated by TLR9 and controlled by OCRL

Phosphoinositides (PtdIns) control fundamental cell processes, and inherited defects of PtdIns kinases or phosphatases cause severe human diseases, including Lowe syndrome due to mutations in OCRL, which encodes a PtdIns(4,5)P2 5-phosphatase. Here we unveil a lysosomal response to the arrival of…

Slicing black hole spacetimes

A general framework is developed to investigate the properties of useful choices of stationary spacelike slicings of stationary spacetimes whose congruences of timelike orthogonal trajectories are interpreted as the world lines of an associated family of observers, the kinematical properties of…

Transient radiative transfer in the grey case: Well-balanced and asymptotic-preserving schemes built on Case’s elementary solutions

An original well-balanced (WB) Godunov scheme relying on an exact Riemann solver involving a non-conservative (NC) product is developed. It is meant to solve accurately the time-dependent one-dimensional radiative transfer equation in the discrete ordinates approximation with an arbitrary even…

Asymptotic formulas for steady state voltage potentials in the presence of thin inhomogeneities. A rigorous error analysis

A fast and efficient deep learning procedure for tracking droplet motion in dense microfluidic emulsions

We present a deep learning-based object detection and object tracking algorithm to study droplet motion in dense microfluidic emulsions. The deep learning procedure is shown to correctly predict the droplets' shape and track their motion at competitive rates as compared to standard clustering…

A hierarchical Krylov--Bayes iterative inverse solver for MEG with physiological preconditioning

The inverse problem of MEG aims at estimating electromagnetic cerebral activity from measurements of the magnetic fields outside the head. After formulating the problem within the Bayesian framework, a hierarchical conditionally Gaussian prior model is introduced, including a physiologically…

Linux vs. OpenBSD: A Firewall Performance Test

Network firewalls filter traffic by comparing all arriving packets to a set of rules, typically in a sequential manner. This activity requires a high amount of processing time and introduces a significantly delay to the traffic. As a result, a packet filter can become a bottleneck for the…

Selection of escape mutants from immune recognition during HIV infection

We present computer simulations of the HIV infection based on a sophisticated cellular automata model of the immune response. The infection progresses following the well known three-phases dynamics observed in patients, that is, acute, silent and acquired immunodeficiency. Antigenic shift and…

Non-standard discrete rothc models for soil carbon dynamics

Soil Organic Carbon (SOC) is one of the key indicators of land degradation. SOC positively affects soil functions with regard to habitats, biological diversity and soil fertility; therefore, a reduction in the SOC stock of soil results in degradation, and it may also have potential negative effects…