Lado Kralj i Nikola Petković na suprotnim polovima humora i zazornog

"Lado Kralj and Nikola Petković: Opposite Approaches to Humor and the Abject" The article provides an analysis of two novels, one Slovenian, Ne bom se več drsal na bajerju by Lado Kralj (2022), and one Croatian, Put u Gonars by Nikola Petković (2018), with a special focus on the theme of borders. Both novels deal with the period of the Italian occupation of Yugoslav lands. In the interpretation, the border is understood in three ways: first, in the spatial sense, then as a boundary in relation to the abject (in the sense of Julia Kristeva), and finally as the implicit author’s ideological and ethical principle. The article highlights the differences between the two novels in the use of disgust as a motif, the (lack of) responsibility towards history, and the depiction of the relations between warring sides and ideologies. In line with the literary studies of memory, the analysis aims to contribute to understanding the light in which World War II is remembered in Slovenia and Croatia today, concluding that the memory of the resistance movement in Slovenia has remained an important part of the public sphere even after the 1990s, while in Croatia it has been marginalized and imbued with unease

HierArtEx: Hierarchical Representations and Art Experts Supporting the Retrieval of Museums in the Metaverse

The improvements in Virtual Reality technologies are bringing more attention to the Metaverse and the nearly unlimited experiences available there. Among these, digital museums have seen an increase in the number of yearly visitors, especially after the COVID-19 pandemics. However, no tools are available to support the user in the searching process. To this end, we start investigating the Text-to-Museum retrieval task, involving museums composed of many rooms enriched by multimedia elements affecting their relevance to the user query. To model this complex type of data, we design HierArtEx, which leverages hierarchical representations to model the whole museum, while combining generic and art-specific knowledge for capturing the visual contents of each single room. We validate its effectiveness on Museums3k, a large dataset that we collect, containing 3000 realistic museums each annotated by a description of its contents. Moreover, qualitative analyses confirm favorable results and their alignment with real user queries, while also highlighting the shortcomings of standard evaluation protocols in retrieval, as they fail to capture all relevant museums

Un approccio multi-sensore per il rilevamento 3D del complesso di Villa Florio (Persereano, Udine)

L’articolo illustra le potenzialità del rilevamento integrato multi-sensore di edifici storici, sperimentato per il vasto complesso edilizio e il parco della settecentesca Villa Florio di Persereano, nel comune di Pavia di Udine. Il processo ha integrato cinque metodologie diverse e complementari: misure topografiche con ricevitore GNSS Leica GS07 e con stazione totale Leica TCRA1103 (anche all’interno), scansioni laser terrestri con Leica BLK360 (interne/esterne), fotogrammetria SfM da drone DJI Mini3 (per le coperture) e rilevamento SLAM con Stonex X120GO (negli spazi più angusti e nel parco). Concettualmente ogni tecnica ha un proprio sistema di riferimento e l’integrazione non è immediata: grazie all’impostazione del lavoro nel datum cartografico RDN2008/UTM33N, le nuvole di punti da immagini UAV, da TLS e da SLAM sono invece già congruenti fra loro. Il ruolo chiave è dato dalle misure GNSS sui vertici della rete topografica e da quelle NRTK dell’antenna montata nel sistema SLAM. Grazie alle coordinate ENH dei punti topografici di appoggio, utilizzati sia per orientare le immagini che per georeferenziare le nuvole TLS, sono state agevolmente calcolate le roto-traslazioni delle corrispondenti nuvole di punti. Alcuni punti sono stati invece utilizzati come “punti di controllo” per verificare la precisione del bundle adjustment delle immagini UAV. Molte zone sono caratterizzate da “multi-nuvole” di punti, in alcune parti anche di tre origini diverse. Si sono distinte varie casistiche, identificando, per ognuna di esse, quale fosse la nuvola più precisa e dettagliata, operando sulle altre con roto-traslazioni locali, stimate via ICP, per migliorarne l’allineamento. La fusione delle nuvole è risultata più che soddisfacente, dimostrando l’efficacia di questo approccio multi-sensore per ottenere un rilevamento 3D completo e omogeneo, con errori centimetrici, utilizzabile per analisi strutturali, per operazioni di conservazione e per futuri interventi di restauro

Reconstructing the writing and context of a multiplication table: a new edition of P.Rain. Unterricht kopt. 311

This article introduces a new edition of P.Rain. Unterricht kopt. 311, a piece of paper containing an Arabic account recently described by Petra Sijpesteijn (on one side) and a multiplication table (the first six columns on side B and the last column on side A at right angles of the document). New reflections on the Arabic text, as well as new readings and interpretations of the Greek table, shed light on the background of the document and its writing

Measurement of top-quark pair production in association with charm quarks in proton–proton collisions at s=13 TeV with the ATLAS detector

Inclusive cross-sections for top-quark pair production in association with charm quarks are measured with proton–proton collision data at a center-of-mass energy of 13 TeV corresponding to an integrated luminosity of 140 fb−1, collected with the ATLAS experiment at the LHC between 2015 and 2018. The measurements are performed by requiring one or two charged leptons (electrons and muons), two b-tagged jets, and at least one additional jet in the final state. A custom flavor-tagging algorithm is employed for the simultaneous identification of b-jets and c-jets. In a fiducial phase space that replicates the acceptance of the ATLAS detector, the cross-sections for tt ̄+≥2c and tt ̄+1c production are measured to be 1.28−0.24+0.27pb and 6.4−0.9+1.0pb, respectively. The measurements are primarily limited by uncertainties in the modeling of inclusive tt ̄ and tt ̄+bb ̄ production, in the calibration of the flavor-tagging algorithm, and by data statistics. Cross-section predictions from various tt ̄ simulations are largely consistent with the measured cross-section values, though all underpredict the observed values by 0.5 to 2.0 standard deviations. In a phase-space volume without requirements on the tt ̄ decay products and the jet multiplicity, the cross-section ratios of tt ̄+≥2c and tt ̄+1c to total tt ̄+jets production are determined to be (1.23±0.25)% and (8.8±1.3)%

THE WEIHRAUCH LATTICE AT THE LEVEL OF Π11-CA0: THE CANTOR-BENDIXSON THEOREM

This paper continues the program connecting reverse mathematics and computable analysis via the framework ofWeihrauch reducibility. In particular, we consider problems related to perfect subsets of Polish spaces, studying the perfect set theorem, the Cantor-Bendixson theorem, and various problems arising from them. In the framework of reverse mathematics, these theorems are equivalent, respectively, to ATR0 and Π11 -CA0, the two strongest subsystems of second order arithmetic among the so-called big five. As far as we know, this is the first systematic study of problems at the level of Π11 -CA0 in the Weihrauch lattice.We show that the strength of some of the problems we study depends on the topological properties of the Polish space under consideration, while others have the same strength once the space is rich enough

Agent-Based Healthcare Chatbots for Regional System Services: A Case Study in the Friuli-Venezia Giulia Region

This paper presents an agent-based model for interacting with regional healthcare system services in the Friuli-Venezia Giulia (FVG) region. The model is designed to streamline and automate tasks traditionally managed through human intervention. We showcase its implementation on three key applications: booking medical appointments, identifying available emergency rooms, and performing question-and-answer (Q&A) interactions on medication leaflets. The system leverages autonomous agents to provide real-time responses, aiming to improve the overall performance of healthcare services

A Direct Approach to Viewing Graph Solvability

The viewing graph is a useful way to represent uncalibrated cameras and their geometric relationships: nodes correspond to cameras and edges represent fundamental matrices. By analyzing this graph, it is possible to establish if the problem is “solvable” in the sense that there exists a unique (up to a single projective transformation) set of cameras that are compliant with the given fundamental matrices. In this paper, we take several steps forward in the study of viewing graph solvability: we propose a new formulation of the problem that is more direct than previous literature, based on a formula that explicitly links pairs of cameras via their fundamental matrix; we introduce the new concept of “infinitesimal solvability”, demonstrating its usefulness in understanding real structure from motion graphs; we propose an algorithm for testing infinitesimal solvability and extracting components of unsolvable cases, that is more efficient than previous work; we set up an open question on the connection between infinitesimal solvability and solvability

Improving the Quality of Mountain Facilities: A Novel Project in the Dolomites Area

In its broadest sense, the mountain environment represents a setting useful for promoting health. This Italian project, conceived and applied in the Dolomites, aims to encourage multi-sector preventive public health policies; improve refuge hygiene; strengthen safety requirements; and implement projects aimed at promoting health. With the support of healthcare workers (HCWs) of the Prevention Department and other professionals in this field, 27 establishments in the Alpine territory have joined the project, benefiting from being recognized as a “Healthy and Safe Refuge” at the end of the quality improvement process. This process consisted of a documentary assessment, an on-site evaluation, and an assessment of analytical evidence relating to parameters investigated by both HCWs and refuge managers according to specific protocols. Data were collected from a specific database via an application to join the project and from sampling reports of parameters investigated for evaluating the quality of water intended for human consumption. The outdoor Alpine environment has recently witnessed extraordinary development and must continue to meet all health and safety requirements, especially in view of a global event—the Olympic Games—that will be hosted in the Dolomites area in 2026

Softer is Better: Tweaking Quantum Dropout to Enhance Quantum Neural Network Trainability

Quantum Machine Learning (QML) has been acknowledged for its transformative potential in enhancing computational capabilities beyond classical approaches, with Quantum Neural Networks (QNNs) emerging as one of the most promising models. Despite the advancements, the adaptation of effective optimization techniques such as batch normalization or regularization, which are well-established in classical Neural Networks, remains an ongoing challenge for QNNs.This adaptation is crucial, especially when considering the implementation of techniques like quantum dropout, which, although inspired by its classical counterpart to reduce the risk of overfitting by "deleting"certain model components during the forward step, exhibits distinct behaviours in a quantum context. This study introduces a novel approach to modulate the impact of dropout in QNNs through a technique we term Soft Dropout. Our method introduces a parameterized softening mechanism for gate eliminations, enabling a more nuanced control over the dropout process, thereby mitigating its adverse effects on the network's learning capacity, and reducing at the same time the risk of overfitting.Our experimental analysis demonstrates that softening current quantum dropout consistently enhances model performance across a spectrum of configurations. This improvement is attributed to the intrinsic properties of quantum gates, which allow for a gradual adjustment of their impact on the quantum circuit up to the identity operation. The results highlight the importance of adapting classical machine learning techniques to the quantum context, considering the unique computational model of quantum processing, potentially accelerating the adoption of QML in real-world problems