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On the characterization of fatigue resistance of PA12 lattice structures
No full textThe industrial sector is constantly exploring innovative ways to fully harness the advantages of additive manufacturing (AM) technologies. Among the many benefits of AM, design freedom stands out, enabling the production of lattice structures. These metamaterials are well-known for their tunable mechanical properties and are widely recognized for their energy absorption and lightweight characteristics across various fields. However, the widespread industrial adoption of these structures remains hindered by two significant challenges: the complex characterization of lattice structure fatigue resistance and the high manufacturing costs associated with AM products.
To address these issues, this work proposes a methodology for predicting the fatigue resistance of lattice components made from polymeric materials. The research focuses on PA12 specimens produced using the industrially relevant MJF technology, which is more cost-effective compared to its metallic counterparts. By conducting fatigue tests on bulk specimens, material characteristics are analyzed, leading to the development of an algorithm that predicts the fatigue life of lattice structures. This is achieved through an energetic approach inspired by the Average Strain Energy Density method, traditionally applied to metallic materials
LE 10 TECNOLOGIE EMERGENTI IN CHIMICA 2024
No full textPer evidenziare il contributo della chimica al progresso tecnologico, IUPAC seleziona
annualmente le “Top Ten Emerging Technologies in Chemistry”: dieci innovazioni che offrono
soluzioni rivoluzionarie alle principali sfide globali. In questo articolo, i 10 Young Observer
italiani (https://www.iupac.cnr.it/it/young-observers) presentano e discutono le tecnologie emergenti selezionate per il 2024
Modeling events and interactions through temporal processes: A survey
No full textIn real-world scenarios, numerous phenomena generate a series of events that occur in continuous time. Point processes provide a natural mathematical framework for modeling these event sequences. In this comprehensive survey, we aim to explore probabilistic models that capture the dynamics of event sequences through temporal processes. We revise the notion of event modeling and provide the mathematical foundations that underpin the existing literature on this topic. To structure our survey effectively, we introduce an ontology that categorizes the existing approaches considering three horizontal axes: modeling, inference and estimation, and application. We conduct a systematic review of the existing approaches, with a particular focus on those leveraging deep learning techniques. Finally, we delve into the practical applications where these proposed techniques can be harnessed to address real-world problems related to event modeling. Additionally, we provide a selection of benchmark datasets that can be employed to validate the approaches for point processes
Atti della Conferenza Annuale SID Società Italiana di Design - Design and Re-Search: Sources & Re-Sources -Design e Ricerca: Fonti e Risorse
No full textCrafting Europe, progetto finanziato da Creative Europe, mira a valorizzare i settori creativi tramite collaborazioni intersettoriali in otto paesi dell’Unione Europea.
Coinvolge designer e microimprese artigianali, supportati da tecnologie abilitanti fornite da esperti in digital manufacturing e interaction design. I partecipanti, riuniti in gruppi di lavoro, hanno sviluppato processi progettuali innovativi in settori artigianali di riferimento. Dopo un percorso formativo e di orientamento alle tematiche dell’innovazione in differenti ambiti produttivi, i gruppi hanno definito l’ambito progettuale, sviluppato il concept e un prototipo finale. La ricerca analizza le fonti e le risorse documentative che hanno supportato lo sviluppo del progetto nella sessione italiana, sia nella fase introduttivo-formativa del progetto, che nella fase di orientamento per lo sviluppo dei processi progettuali dei gruppi di lavoro che, quindi, nella fase di progetto del sistema-prodotto
Search for lepton-flavor-violating decays at Belle and Belle II
No full textWe present the results of a search for charged-lepton-flavor violating decays, where l− is either an electron or a muon. We combine e+e− data samples recorded by the Belle II experiment at the SuperKEKB collider (428 fb−1) with samples recorded by the Belle experiment at the KEKB collider (980 fb−1) to obtain a sample of 1.3 billion e+e− → τ+τ− events. We observe 0 and 1 events and set 90% confidence level upper limits of 0.8 × 10−8 and 1.2 × 10−8 on the branching fractions of the decay modes and, respectively. These are the most stringent upper limits to date
Smart Labels: Linking Non-Standard Shapes and Semantics in Built Heritage. The “Grotta del Fauno” case study at Villa d’Este in Tivoli
No full textIn the built heritage domains, formalizing fact and knowledge for conservation, valorisation, and enhancement of historical artifacts has attracted a growing research community.
Various methodologies are employed to objectively reproduce and depict the features of a heritage building, including both its morphological and conceptual complexity. Although traditional 3D virtual reconstruction is relatively mature, semantic enrichment and annotation approaches constitute a promising investigation path. The primary scientific challenge lies in analysing and effectively reusing large amounts of heterogeneous data across multiple disciplines beyond mere geometry. Heritage and archaeological buildings, characterized by irregular geometries, intricate ornamentation, and non-standard components, pose significant challenges to mainstream Heritage Building Information Modelling (H-BIM). Workflows typically rely on point cloud data and mesh-based modeling to capture complex geometries; however, translating these into structured BIM models is resource intensive due to the diversity of architectural elements.
To address this, the paper introduces “smart labels”—virtual BIM instances that act as connectors between high-fidelity meshes and established ontological frameworks (Built Cultural Heritage - BCH ontology) by linking pseudo-BIM databases (IFC) with semantic
knowledge bases (OWL) including topological information for a multidisciplinary, systemic analysis of phenomena. The case study of “Grotta del Fauno” inside the 16thcentury Villa d’Este in Tivoli illustrates the potential of enriched data querying to support decision-making in conservation, restoration, and structural analysis
Etica del cibo e food porn: quando il cibo diventa simulacro
No full textIl contributo analizza il rapporto tra etica e rappresentazione del cibo nella società dei media digitali, con particolare attenzione al fenomeno del food porn nei social media. In questo contesto, il cibo è influenzato più dall'aspetto visivo che dal suo valore nutrizionale, rispondendo a un bisogno di benessere più emotivo ed estetico.
Il food porn segue la scia di una tradizione visiva che va dalle nature morte del XVII secolo, passando per il cinema, fino alla pubblicità contemporanea e all'intelligenza artificiale, trasformando il cibo in un simulacro e un simbolo della società della performance. L'esperienza alimentare diventa individualistica e visiva, ma può assumere un valore etico se non degenera in comportamenti alimentari dispendiosi o dannosi
e incoraggia la condivisione e il senso di comunità. Il food porn, in questa direzione, potrebbe promuovere una nuova educazione alimentare basata sul benessere personale, compresa la salute fisica e mentale e la giustizia alimentare
Neuro-Symbolic Learning from Temporal Sequences in Safety-Critical Systems
No full textSafety-critical systems have seldom been used as an application domain for neuro-symbolic AI, despite their inherent characteristics
that combine generation and processing of raw data, coming from heterogeneous devices, with enforcement or discovery of properties,
usually encoded as rules or constraints. In this paper, we consider the task of classifying sequences of perceptual stimuli collected from
a safety-critical system, where safety-related properties are represented in the form of linear temporal logic formulae. Our preliminary
results on a benchmarking framework for temporal reasoning show that this kind of problem can be extremely challenging, for both
neural-only and temporal neuro-symbolic approaches
Analysing Economic Gain Dynamics in a P2E Metaverse: The Case of Axie Infinity
No full textThe metaverse was recently proposed as a new way for people to socialise and interact with each other and digital objects in a world malleable at users' will. Blockchain plays a big role in the current metaverse proposals because it enables keeping track of digital assets' property via NFTs. Thanks to the blockchain, metaverses like Axie Infinity, also implement a rewarding system to keep players engaged in the platform following a Play 2 Earn model. However, users interested in the economic gain dynamics of such platforms may be encouraged to find alternative ways to earn by playing the game. In this paper, we discuss the Breed 2 Earn strategy used by players in the Axie Infinity metaverse to generate profit in the game. We identify two breeding methods to create new axies (in-game creatures used to access rewards) and study their efficacy using a 2-year dataset. Our analyses confirm that the two strategies are widely used, and by exploiting the bull run market they generate profits for breeders
Toxic trace elements transport in stream sediments from the world-class Monte Amiata Hg mining district: Potential impact to the Mediterranean Sea
No full textThe spatial and temporal variability of Hg, As, and Sb contents were assessed in stream sediments across the Fiora River catchment (Italy), which drains the dismissed Monte Amiata Mining District, the 3rd largest Hg producer worldwide. Mercury, As, and Sb concentrations of samples collected in 2022 along Fiora River tributaries were compared to data collected in 1985 after mine decommissioning. In 2022, the Fiora River showed downstream magnification of Hg pollution, close to the outflow into the Mediterranean Sea. At several sampling sites, concentrations are above the Italian safety limit of 1 mg/kg (up to 3300 mg/kg). Arsenic and Sb concentrations are high in the mid-catchment tributaries (up to 84 and 79 mg/kg, respectively). The river contributes to the pollutant budget of the Mediterranean Sea, and showed low resilience to Hg pollution in the period 1985–2022, whereas for As and Sb some attenuation occurred. The mass loads of Hg, As, and Sb discharged into the Mediterranean Sea from the Fiora River are at least 0.9, 2.2, and 1.8 t/y respectively. The estimated potential sediment-bound Hg flux from the whole Monte Amiata district to the Mediterranean Sea (1.2–6.6 t/y) is in the same range of that calculated for the Idrija district, highlighting the pivotal role of the Mt. Amiata district on the Mediterranean Sea pollution