Conveners
Session 7 B
- Sebastiano Stramaglia (Istituto Nazionale di Fisica Nucleare)
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Andrea Rapisarda (CT)20/12/2022, 15:00
We propose a novel data‐driven framework for assessing the a-priori epidemic risk of a geographical area and for identifying high‐risk areas within a country [1]. Our risk index is evaluated as a function of three different components: the hazard of the disease, the exposure of the area and the vulnerability of its inhabitants. As an application, we discuss the case of COVID‐19 outbreak in...
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Alessandro Ingrosso (The Abdus Salam International Centre for Theoretical Physics)20/12/2022, 15:25
Exploiting invariances in the inputs is crucial for constructing efficient representations and accurate predictions in neural circuits. In neuroscience, translation invariance is at the heart of models of the visual system, while convolutional neural networks designed to exploit translation invariance triggered the first wave of deep learning successes. While the hallmark of convolutions,...
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Dr Loredana Bellantuono (Università degli Studi di Bari Aldo Moro, Istituto Nazionale di Fisica Nucleare)20/12/2022, 15:45
University rankings are increasingly adopted for academic comparison and success quantification, even to establish performance-based criteria for funding assignment. However, rankings are not neutral tools, and their use frequently overlooks disparities in the starting conditions of institutions. In this research, we detect and measure structural biases that affect in inhomogeneous ways the...
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Livio Nicola Carenza (Lorentz Institute - Leiden University)20/12/2022, 16:05
It has been a long-standing mystery how complex biological structures emerge during embryonic development from such seemingly uncoordinated building blocks as cells and tissues without guidance. Recent experiments have suggested that misalignment in the collective structure of tissues –the so called topological defects– could play a fundamental guiding role in morphogenesis. Inspired by...
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Mr Massimiliano Semeraro (Università degli STudi di Bari,INFN - sezione di Bari)20/12/2022, 16:25
Over the past few years great interest arose in providing a thermodynamic description of Active Matter Systems, a class of non-equilibrium systems in which the single components are able to transform energy into self-propelled motion. A measure of the transformation efficiency is provided by the Active Work performed by active particles. The distribution of such an observable has been object...
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Francesco Chippari (LPTHE, SORBONNE UNIVERSITY and CNRS)20/12/2022, 16:45
In collaboration with M. Picco and Raoul Santachiara, we tackled the problem of weak disordered bi-dimensional Potts model at criticality.
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The aim of this study is to understand how the critical properties of the pure (P) model are modified by the addition of long-range-correlated disorder on the spin-couplings, i.e. the random-bond Potts model.
For uncorrelated or short range (SR) disorder...