Archivio della ricerca - Fondazione Bruno Kessler
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Virtual Reality in Reminiscence Therapy for Parkinson’s Disease (RETURN-VR): A Co-Design Approach.
No full text“La montagna sacra è quella che abbiamo sopra la testa”. Intervista a Matteo Melchiorre
No full textQuesta intervista con Matteo Melchiorre, storico, saggista e romanziere, ruota attorno alla rilevanza delle montagne nella vita moderna. Tra i temi discussi: i differenti significati del paesaggio montano; la sua relazione con la vita interiore delle persone; la scrittura come sacrario in cui vengono conservate le cose più importanti della vita; possibilità e impossibilità della rivolta oggi; la dialettica tra incanto e disincanto; l’abisso del tempo come sovrappiù da valorizzare nella vita degli individui e delle comunità; la natura profonda delle esperienze sacre
Science and Religion: Convergences and Divergences Through the Lens of AI-related New Religious Movements
No full textThe song (Give Me That) Old–Time Religion is the guide
that leads us through the texture of history — in the “Scopes Monkey
Trial” — in which a high school teacher, was accused of violating
the Butler Act of Tennessee, which had made it illegal to teach
darwinism and human evolution in any state–funded school. This
narrative device will allow us to become aware of how science and
religion can be part of the same divisive or unifying discourse. It is
properly the separation/convergence between science and religion
— in the discourse about new religious movements and Artificial
Intelligence (AI) — that shows how these movements can be
narrative containers of reality in which science and religion seem to
contaminate each other, and to generate the “religious–like” sense
Search for new physics in final states with semivisible jets or anomalous signatures using the ATLAS detector
No full textA search is presented for hadronic signatures of beyond the Standard Model (BSM) physics, with an emphasis on signatures of a strongly coupled hidden dark sector accessed via resonant production of a Z′ mediator. The ATLAS experiment dataset collected at the Large Hadron Collider from 2015 to 2018 is used, consisting of proton-proton collisions at √s =13 TeV and corresponding to an integrated luminosity of 140 fb−1. The Z′ mediator is considered to decay to two dark quarks, which each hadronize and decay to showers containing both dark and Standard Model particles, producing a topology of interacting and noninteracting particles within a jet known as “semivisible.” Machine learning methods are used to select these dark showers and reject the dominant background of mismeasured multijet events, including an anomaly detection approach to preserve broad sensitivity to a variety of BSM topologies. A resonance search is performed by fitting the transverse mass spectrum based on a functional form background estimation. No significant excess over the expected background is observed. Results are presented as limits on the production cross section of semivisible jet signals, parametrized by the fraction of invisible particles in the decay and the Z′ mass, and by quantifying the significance of any generic Gaussian-shaped mass peak in the anomaly region
ARG2ST at CQs-Gen 2025: Critical Questions Generation through LLMs and Usefulness-based Selection
No full textCritical questions (CQs) generation for argumentative texts is a key task to promote critical thinking and counter misinformation. In this paper, we present a two-step approach for CQs generation that i) uses a large language model (LLM) for generating candidate CQs, and ii) leverages a fine-tuned classifier for ranking and selecting the top-k most useful CQs to present to the user. We show that such usefulness-based CQs selection consistently improves the performance over the standard application of LLMs. Our system was designed in the context of a shared task on CQs generation hosted at the 12th Workshop on Argument Mining, and represents a viable approach to encourage future developments on CQs generation. Our code is made available to the research community
Introduction: A Reference Work for Hopeless and Hopeful Romantics
No full textThis is the introduction to a symposium on Charles Taylor's book “Cosmic Connections: Poetry in the Age of Disenchantment” (Cambridge, MA: 2024), which explains the relevance of the text and its place within the work of the great Canadian philosopher
On the Impact of Low-Energy Protons on the Optical Performance of Coated Optical Devices for Oblique Incidence Implementation
No full textR.f.-sputtered hafnia thin films were exposed to low energy protons. Good stability of the films was confirmed, while a dramatic change induced in the performance of coated optics was evidenced at certain incidence angles
Segmentation of Drivable Areas in GPS-Denied and Unstructured Orchard Environments
No full textAutonomous navigation in agricultural environments such as vineyards and orchards typically depends on sensor fusion, integrating GPS, inertial measurement units (IMUs), Light Detection and Ranging (LiDAR), and stereo cameras for precise navigation. However, resource-limited edge devices and environmental factors like seasonal changes or GPS signal loss underscore the need for more efficient sensing solutions that can complement current technologies and reduce measurement uncertainties. These challenges, along with economic constraints and limited technical expertise, hinder the widespread adoption of robotic systems in farming. In this work, we explore and compare various deep learning-based segmentation methods for accurately detecting drivable areas in unstructured, GPSdenied orchard environments. Particular emphasis is placed on deploying these methods to edge devices, where efficient model inference is critical. We analyze three deep learning-based segmentation methods: a lightweight DeepLabv3-inspired model and the two latest YOLO (You Only Look Once) versions for segmentation. Our results demonstrate the feasibility of deploying these models on edge devices such as NVIDIA Jetson Orin Nano and the superior performance of the YOLO models, achieving high terrain segmentation precision and season-robust real-time inference on previously unseen data
Search for emerging jets in pp collisions at √s = 13.6 TeV with the ATLAS experiment
No full text:A search for emerging jets is presented using 51.8 fb-1of proton-proton collision data ats=13.6TeV, collected by the ATLAS experiment during 2022 and 2023. The search explores a hypothetical dark sector featuring 'dark quarks' that are charged under a confining gauge group and couple to the standard model (SM) via a new mediator particle. These dark quarks undergo showering and hadronisation within the dark sector, forming long-lived dark mesons that decay back into SM particles. This results in jets that contain multiple displaced vertices known as emerging jets. The analysis targets events with pairs of emerging jets, produced either through a vector mediator,Z', in thes-channel, or a scalar mediator, Φ, in thet-channel. No significant excess over the SM background is observed. Assuming a dark pion proper decay length between 5 mm and 50 mm,Z' mediator masses between 600 GeV and 2550 GeV are excluded for quark and dark quark coupling values of 0.01 and 0.1, respectively. For a quark dark-quark coupling of 0.1, Φ mediator masses between 600 GeV and 1375 GeV are excluded. These results represent the first direct search targeting emerging jet pair production via aZ' mediator, as well as the first study of emerging jet production mediated by a scalar particle exchanged in thet-channel