Articolo in rivista

Mutation, fitness, viral diversity and predictive markers of disease progression in a computational model of HIV-1 infection

Objective: The aim of this study was to develop a computational model of HIV infection able to simulate the natural history of the disease and to test predictive parameters of disease progression. Design: We describe the results of a numerical simulation of the cellular and humoral immune response…

Lattice Boltzmann fluid-dynamics on the QPACE supercomputer

In this paper we present an implementation for the QPACE supercomputer of a Lattice Boltzmann model of a fluid-dynamics flow in 2 dimensions. QPACE is a massively parallel application-driven system powered by the Cell processor. We review the structure of the model, describe in details its…

Blood flow through a circular pipe with an impulsive pressure gradient

Superposition of Weyl solutions: Circular orbits

Over-relaxation methods and coupled Markov chains for Monte Carlo simulation

This paper is concerned with improving the performance of certain Markov chain algorithms for Monte Carlo simulation. We propose a new algorithm for simulating from multivariate Gaussian densities. This algorithm combines ideas from coupled Markov chain methods and from an existing algorithm based…

Simulating the effect of vaccine-induced immune responses on HIV infection.

The need for anti-HIV-1 vaccines is universally recognized. Although several potential vaccine formulations are being tested in clinical trials, the complexity of the viral system and the length of the experimentation required and its costs makes the goal of obtaining such a vaccine still elusive.…

A color image segmentation method as used in the study of ancient monument decay

In the Cultural Heritage area it is of fundamental importance to characterize and classify the conservation state of the materials constituting ancient monuments, in order to study and monitor their decay. Generally the decay diagnosis is provided by “naked eye” analysis done by expert…

Bootstrap AMG for Spectral Clustering

Graph Laplacian is a popular tool for analyzing graphs, in particular in graph partitioning and clustering. Given a notion of similarity (via an adjacency matrix), graph clustering refers to identifying different groups such that vertices in the same group are more similar compared to vertices…

Quantifying turbulence-induced segregation of inertial particles

Particles with different density from the advecting turbulent fluids cluster due to the different response of light and heavy particles to turbulent fluctuations. This study focuses on the quantitative characterization of the segregation of dilute polydisperse inertial particles evolving in…

Fast algorithms for the approximation of a traffic flow model on networks

New computation algorithms for a fluid-dynamic mathematical model of flows on networks are proposed, described and tested. First we improve the classical Godunov scheme (G) for a special flux function, thus obtaining a more efficient method, the Fast Godunov scheme (FG) which reduces the number…