Archivio della ricerca - Fondazione Bruno Kessler
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Precision measurement of the B0 meson lifetime using B0→J/ψK*0 decays with the ATLAS detector
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MATCHING AND INTEGRATION OF REGISTRY AND SURVEY DATA ON THE DYNAMICS OF WORK HISTORIES: A PILOT STUDY
No full textIl problema della spiritualità atea. Questioni di metodo e di contenuto
No full textÈ ragionevole supporre che il motivo per cui molte persone oggi ricorrono volentieri a un vocabolo desueto come «spiritualità» per descrivere un loro bisogno se non primario, esistenzialmente assai significativo, sia di tipo contrastivo. È probabile, cioè, che quando pensano alla spiritualità immaginino qualcosa che sta loro molto a cuore, sebbene rimanga, per altri versi, ai margini della loro vita quotidiana e della forma di vita a cui appartengono, di cui hanno una concezione forse vaga teoricamente, ma molto precisa da un punto di vista pratico. Per evocare la teoria delle multiple realities di Alfred Schutz, se il lavoro, i soldi, i contatti costituiscono nella loro vita pubblica la paramount reality, «spiritualità» è allora l’etichetta sotto cui riconducono spontaneamente tutto ciò che non quadra con questa gerarchia di valori, diciamo così, «diurna».
È noto che per una quota significativa di persone anche la «religione» – o meglio le istituzioni religiose tradizionali – rientra oggi a pieno diritto nella «paramount reality», rappresenta cioè un elemento prosaico e non eccentrico nella loro vita. Per questo la nozione di «spiritualità atea o secolare» non suona alle loro orecchie come un ossimoro.
Nel saggio utilizzo come caso di studio la condizione degli «aspiranti montanari», il cui numero è in continua crescita in Italia (e non solo), per provare a capire se possa essere fatta rientrare almeno parzialmente nel novero delle «spiritualità atee». Per disegnare il profilo di questa spiritualità secolare mi servo in particolare del concetto di «risonanza», elaborato dal sociologo tedesco Hartmut Rosa e da lui utilizzato come strumento teorico idoneo per fare emergere i modelli innovativi di vita buona che vengono sistematicamente generati anche nella società dell’accelerazione e della saturazione.
In conclusione viene introdotta la categoria di «essenzialità» per spiegare il fascino che gli ambienti alpini esercitano su molte persone che appartengono al gruppo composito dei «laici spirituali»
Dynamic modelling of an Ammonia to Power application at high efficiency using a solid oxide fuel cell system
No full textAmmonia is a promising zero carbon and sustainable hydrogencarrier that can be used as a fuel in solid oxide fuelcells (SOFC) by offering advantages related to the ease ofstorage and the possibility of being used directly withoutan external reformer. In this study, a Modelica-baseddynamic model of an 'Ammonia to Power' (A2P) system wasdeveloped by integrating ammonia decomposition kinetics,electrochemical reactions, all the system-level componentsand the main control loops. A novel Balance of Plant (BoP)configuration is proposed, featuring a five-way heatexchanger that recovers waste heat primarily using the fuelstream as the thermal energy vector instead of air. Themodel evaluates transient responses to operationalperturbations, the behavior of the different control loops,and recirculation percentage rates to optimize systemperformance. Efficiency is calculated as the ratio of thepower output from the SOFC to the power derived from thefresh ammonia line
LeWiDi-2025 at NLPerspectives: Third Edition of the Learning with Disagreements Shared Task
Get PDFMany researchers have reached the conclusion that ai models should be trained to be aware of the possibility of variation and disagreement in human judgments, and evaluated as per their ability to recognize suchvariation. TheLeWiDi series of shared tasks on Learning With Disagreements was established to promote this approach to training and evaluating ai models, by making suitable datasets more accessible and by developing evaluation methods. The third edition of the task builds on this goal by extending the LeWiDi benchmark to four datasets spanning paraphrase identification, irony detection, sarcasm detection, and natural language inference, with labeling schemes that include not only categorical judgments as in previous editions, but ordinal judgments as well. Another novelty is that we adopt two complementary paradigms to evaluate disagreement-aware systems: the soft-label approach, in which models predict population-level distributions of judgments, and the perspectivist approach, in which models predict the interpretations of individual annotators. Crucially, we moved beyond standard metrics such as cross-entropy, and tested new evaluation metrics for the two paradigms. The task attracted diverse participation, and the results provide insights into the strengths and limitations of methods to modeling variation. Together, these contributions strengthen LeWiDi as a framework and provide new resources, benchmarks, and findings to support the development of disagreement-aware technologies
Exploring Religion and Migration Spatially in the Alpine Area: The St. Mark Romanian Orthodox Church in Trento
No full textThis chapter examines the integration of the Romanian Orthodox immigrant community in Trento, a region typical of the Alpine area in Italy. The analysis is based on the narrative of a key informant—the parish priest—and focus on the community’s search for, identification, and use of a specific place of worship. The relevance of the religious site in the settlement of the Romanian Orthodox community is discussed using the case study methodology, a qualitative research approach, and adopting a spatial perspective. Tracing the story of a religious community through the words of a privileged informant holds dual significance: on one hand, it captures and conveys the broader lived experience of the community related to the site; on the other hand, it offers a narrative that influences collective representations and the personal life-stories that accumulate over time. The findings expand on how religious sites serve as crucial venues for the community’s efforts in defining its identity, navigating cultural hybridization, achieving social inclusion, and facing the main challenges posed by an Alpine setting
Top Ten Tips Palliative Care Clinicians Should Know About the Future of Artificial Intelligence
No full textContextual Convolutions for Scalable Forward-Only Learning on Tiny Devices
No full textOn-device training on resource-constrained hardware, such as microcontrollers with limited memory and fixed-function convolutional accelerators, remains an open challenge in embedded computer vision. Standard backpropagation is often impractical due to its high memory requirements and reliance on operations unsupported by typical inference-optimized accelerators. Recent forward-only learning methods, such as Forward-Forward and PEPITA, offer lightweight alternatives by eliminating the backward pass, enabling training on ultra-low-power devices. However, these methods tend to degrade in performance on more complex tasks involving deeper networks and larger output spaces. In this work, we introduce the Contextual Convolution Block, a novel architectural module that enhances the representational capacity of forward-only networks by injecting ground truth class information during training. This allows the network to specialize convolutional kernels for specific classes without relying on gradients or weight transport. We further present an optimized implementation of this block using an im2col-based formulation, enabling efficient training on severely constrained devices. Our method significantly improves the scalability of forward-only training approaches, achieving stronger performance on complex classification tasks while preserving compatibility with embedded hardware limitations
