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LA CONSERVAZIONE DELL’ARCO DI AUGUSTO DI AOSTA: RESTAURO, DOCUMENTAZIONE BIM E RISCOPERTA STORICA DI UN UNICUM LAPIDEO
No full textThe restoration of the Arch of Augustus in Aosta, promoted by the Superintendence for Cultural Heritage of the Autonomous Region of Valle d'Aosta, represents an exemplary intervention that combines conservation, scientific investigation and digital innovation. The objective of the work is to preserve and enhance one of the most significant monuments of Alpine Roman times, built in honor of Augusto Imperator to celebrate the Roman victory over Salassi, and which over the centuries has become a symbol of the city's identity. The project documentation was organised with a BIM (Building Information Modelling), which allows integration between 3 D surveys, degradation mapping, diagnostic steps, interventions. This model guarantees complete traceability of restoration interventions, and constitutes a digital archive, which can be updated and functional for scheduled maintenance over time. The BIM model, developed in collaboration with the University of Brescia, included orthophotos, environmental data, structural and historical analyses, integrating them into a single accessible and interoperable information ecosystem. At the same time, historical research has experienced significant acceleration: archival analysis has led to the chronological systematization of previous interventions, from medieval times to today, with contributions from figures such as Promis, D'Andrade, Schiaparelli The stratigraphic reading of the changes – from the disappearance of the attic and inscriptions to the remakes with artificial puddinga – has become an active part of the historical narrative of the monument. Research is also continuing through new diagnostic technologies, CFD environmental modelling and microclimatic assessments, which offer an evolving image of the relationship between the monument and environment. Finally, the intervention proposes a replicable model of restoration in the Alpine context, capable of combining historical knowledge, material protection and technological innovation in a very hard climatic context
A New Dataset for Exploring Actions of Italian Football Matches
No full textWe introduce an original dataset for football analytics, adopting detailed event
and performance data from the Italian Serie A season 2022/2023. The dataset integrates information from multiple sources, including whoscored.com, understat.com, and sofifa.com, through an advanced ETL process. It includes over 8,400 shot actions with variables such as pass details, player roles, pitch coordinates, and performance indices derived via a PLS-SEM approach. Preliminary analyses highlight the potential of the dataset to uncover insights into player performance and team strategies. This resource aims to support advanced research in football analytics, including extensions to the expected goals framework and evaluations of player contributions during actions
L'utilizzo dell'intelligenza artificiale nel procedimento e nel processo tributario: alla ricerca della "Vera" evasione
No full textA Polynomial-Time Algorithm for the Probabilistic Profitable Tour Problem on a Tree
No full textThe profitable tour problem (PTP) is a well-known NP-hard routing problem that searches for a tour visiting a subset of customers while maximizing profit measured as the difference between total revenue collected and traveling costs. PTP is known to be solvable in polynomial time when special structures of the underlying graph are considered. However, the computational complexity of the corresponding probabilistic generalizations is still an open issue in many cases. In this paper, we analyze the probabilistic PTP where customers are located on a tree and need, with a known probability, for a service provision at a predefined prize. The problem objective is to select a priori a subset of customers with whom the service has to be contractualized to maximize the expected profit. We provide a polynomial-time algorithm computing the optimal solution in O(n^2), where n is the number of nodes in the tree
Autodeterminazione, paternalismo e responsabilità: l’uso primario dei dati sanitari nella relazione di cura e di fiducia fra medico e paziente.
No full textCity coordination for multi-regime interaction towards sustainability transition in urban mobility systems: an Italian case study
No full textDecarbonizing transportation is one of the most important global priorities for mitigating the consequences of climate change. Cities are key actors in the low-carbon mobility transition, as their shift towards sustainability will significantly influence the trajectory of this transition. Through a qualitative analysis of the mobility plans of all Italian provincial capitals, this study sheds light on the role of cities in coordinating multi-regime interaction within the sustainability transition of the urban mobility system. More specifically, it highlights how these institutions are working to destabilize the automobility regime, support more sustainable mobility regimes, and accelerate and stimulate niches and inter-regime niche innovations. Despite significant similarities in the instruments cities plan to implement, a cluster analysis revealed that modal split scenarios for 2030 vary substantially across cities, often reflecting baseline modal splits of different mobility regimes currently operating in the urban context. These differences may increase in the long term
BLAST: Bit-Blasting Numbers for Classical Planning (Extended Abstract)
No full textIt is well known that numeric planning can be made decidable if the domain of all numeric state variables is finite. This bounded formulation can be polynomially compiled into classical planning with Boolean conditions and conditional effects preserving the plan size exactly. However, it remains unclear whether this compilation has any practical utility. To explore this aspect, this work revisits the theoretical compilation framework from a practical perspective, focusing on the fragment of simple numeric planning. Specifically, we introduce three different compilations. The first, called one-hot, aims to systematise the current practice among planning practitioners of modelling numeric planning through classical planning. The other two, termed binary compilations, extend and specialise the logarithmic encoding introduced in previous literature. Our experimental analysis reveals that the overly complex logarithmic encoding can, surprisingly, be made practical with some representational expedients. Among these, the use of axioms is particularly crucial. Furthermore, we identify a class of mildly numeric planning problems where a classical planner, i.e., LAMA, when run on the compiled problem, is highly competitive with state-of-the-art numeric planners
The mechanics of anoikis resistance in cancer
No full textMetastatic cancer cells display a remarkable ability to resist the mechanical and biochemical challenges associated with detaching from the extracellular matrix and metastasize. A key adaptive mechanism in this process is resistance to anoikis. In this review, we explore the molecular and biophysical mechanisms that enable cancer cells to resist anoikis, with a focus on mechanotransduction. We discuss the roles of integrin signaling, the YAP/ TAZ pathway, the mechanosensitive ion channels, and actomyosin contractility in sustaining survival under mechanical stress conditions. Furthermore, we highlight the emerging contribution of soluble mediators, particularly the myokine irisin, which acts as mechanical mimetics by activating survival pathways typically triggered by matrix engagement. We also examined how mechanical heterogeneity across tumor types and metastatic routes shapes context-specific adaptation strategies. By bridging physical forces and cell survival signaling, this review underscores mechanostransduction as fundamental driver of metastatic competence and a promising target for therapeutic intervention
Functional impact of CYFIP2 RNA editing on actin regulation, axon growth, and spinogenesis
No full textCytoplasmic FMRP-interacting protein 2 (CYFIP2) is a component of the wave regulatory complex (WRC), one of the most important players in regulating cellular actin dynamics. Interestingly, the CYFIP2 transcript undergoes RNA editing, an epitranscriptomic modification catalyzed by ADAR enzymes, which leads to adenosine (A) to inosine (I) deamination. CYFIP2 editing in the coding sequence results in a K/E substitution at amino acid 320. The functional meaning of this regulation is still unknown. In this study, we aimed to investigate the potential implications of CYFIP2 RNA editing related to actin dynamics during cell differentiation, axon development and synaptogenesis in neural cells. We generated SH-SY5Y neuroblastoma cell lines in which the CYFIP2 gene has been functionally inactivated via CRISPR-Cas9 technology. CYFIP2 KO cells exhibited profound actin filament disorganization and loss of the ability to differentiate into a neuron-like phenotype. The overexpression of both the unedited (K) and edited (E) CYFIP2 isoforms restored normal abilities. Finally, we used primary neuronal cultures in which endogenous CYFIP2 was knocked down via short hairpin RNA (shRNA) technology and CYFIP2 editing variants were overexpressed. While CYFIP2-KD cells presented a decrease in axon development and spine frequency, CYFIP2-E variants increased the number of axon branches, total axon length and dendritic spine frequency compared with both CYFIP2-KD cells and CYFIP-K variants. Overall, our work reveals for the first time the functional significance of the CYFIP2 K/E RNA editing process in regulating the spread of neuronal axons during the initial stages of in vitro development and spinogenesis
Determination of lithium concentration in black mass using laser-induced breakdown spectroscopy hand-held instrumentation
No full textLithium has become one of the most strategic materials in the industry, given its wide use for the realization of efficient energy storage devices and for improving the chemical and physical characteristics of advanced ceramic and glass materials. Its widespread use in the last decades has also posed problems for its recovery and recycling, mostly from exhaust Li-ion batteries, which are mechanically treated to obtain the black mass. The black mass is a carbon-based material derived from the cathodic and anodic components of the batteries, containing several metals, as for example cobalt and nickel, along with lithium in varying quantities. Therefore, it is important to develop fast and accurate techniques for determining the black mass composition. This information is also essential for optimizing the extraction processes of lithium or other metals from the black mass. In this paper, we employ automated data processing using an Artificial Neural Network (ANN) to analyze spectra acquired from black mass equivalent materials with a commercial hand-held Laser-Induced Breakdown Spectroscopy (LIBS) instrument, enabling the determination of lithium content from a minimal set of spectral features. Additionally, we compare the results obtained for real black mass with reference values from other elemental analysis techniques. The combination of the ANN algorithm speed and robustness with the reliability of the LIBS instrument demonstrates the feasibility of accurate determination of the lithium content in black mass with a minimum treatment of the samples and on very different matrices