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A proposito del lessema gutnico sämptst
The aim of this study is to investigate the lexeme sämptst attested as a hapax legomenon in the so-called Statutes of Saint Catherine’s Guild written in Old Gutnish. On the basis of its cotext, sämptst could be considered a unique variant of the preterite participle of Old Gutnish semia sik (cf. Old Swedish sämia/sæmia sik and Old Norse semja sik/semjask), a weak verb which is well-attested in Guta lag, the longest Old Gutnish text
MonumenTo. Torino capitale, la forma della memoria
MonumenTo racconta Torino come un grande teatro della memoria, dove i monumenti sono segni attivi che hanno costruito l’identità urbana, civile e politica della prima capitale d’Italia.
Attraverso saggi incisivi e immagini potenti, il volume restituisce alla statuaria pubblica la sua funzione originaria: organizzare lo spazio, educare lo sguardo, trasmettere valori. I testi ricostruiscono la “grammatica monumentale” torinese, un sistema unico in Europa, capace di trasformare piazze, viali e accessi urbani in un racconto coerente della storia nazionale
Sound-induced motion in chimpanzees does not imply shared ancestry for music or dance
This letter is in reply to Hattori & Tomonaga (2020), who report that seven captive chimpanzees moved in response to piano sounds, more so than in silence. On this basis, they argue, "some biological foundation for dancing existed in the common ancestor of humans and chimpanzees ~6 million years ago". Music's universality suggests it has deep phylogenetic roots; understanding music-like behavior in non-human animals is therefore valuable for understanding the evolution of music. But the paper's claim of shared ancestry for music or dance is unjustified
Large eddy simulation in optimization of fan-shaped cooling holes using modal subdivision design variables
In advanced gas turbine engines, fan-shaped cooling holes are widely employed to protect turbine components from the high-temperature mainstream flow. The geometric characteristics of these holes are critical in determining the film-cooling effectiveness. Therefore, identifying an optimal hole configuration is essential to enhance thermal protection and overall cooling performance. In this study, a large eddy simulation (LES) approach was conducted to investigate the influences of surface geometry modifications on the film-cooling effectiveness and turbulent flow structures for a 7-7-7 laidback fan-shaped cooling hole (7-degree expansion angle in each direction). The cooling hole was located on a flat plate with a 30-degree injection angle, operating at a constant density and blowing ratio of 1.5. A novel modal shape parameterization technique was introduced to systematically modify the hole surface geometry, providing a compact physic-based representation of complex shape variations. Eight designed cases were generated using Latin Hypercube sampling (LHS) based on two shape parameters: mode number and mode amplitude. The area-averaged film-cooling effectiveness on the flat plate was selected as the objective function. A genetic aggregation method was adopted to construct a response surface model using the LES data. Subsequently, a multi-objective genetic algorithm (MOGA) was used to identify the optimal surface geometry. The results indicated a substantial improvement in cooling effectiveness across all modified configurations compared to the reference case. The optimized design demonstrated reduced internal turbulent fluctuations within the cooling hole and diminished flow disturbances in the interaction region with the mainstream, resulting in a 22% improvement in cooling performance-from 0.2028 to 0.2475-compared to the reference configuration
FAIR-CARE: A comparative evaluation of unfairness mitigation approaches
Bias and unfairness in Machine Learning (ML) are challenging to detect and mitigate, particularly in critical
fields such as finance, hiring, and healthcare. While numerous unfairness mitigation techniques exist, most
evaluation frameworks assess only a limited set of fairness metrics, primarily focusing on the trade-off between
fairness and accuracy. We introduce FAIR-CARE, a new open-source and robust approach that consists of an
evaluation pipeline designed for the systematic assessment of unfairness mitigation techniques. Our approach
simultaneously evaluates multiple fairness and performance metrics across various ML models. We conduct
a comparative analysis on healthcare datasets with diverse distributions—including target class, protected
attribute, and their joint distributions—to identify the most effective mitigation technique for each processing
type (pre-, in-, and post-processing). Furthermore, we determine the best-performing techniques across different
datasets, fairness metrics, performance metrics, and ML models. Finally, we provide practical insights into the
application of these techniques, offering actionable guidance for both researchers and practitioners
Quantitative Analysis of the Asymmetry of Inner Wall Film Flow in Oblique Droplet Impacts
The Rotonda of San Tomè in Almenno San Bartolomeo: Rigorous Digital 3D Survey and Data Processing for a Conscious and Sustainable Conservation
The aim of this paper is to examine the crucial role the correct of 3D Survey in the of high-quality conservation projects. A “conscious, sensitive, and controlled” application of digital acquisition systems a reality-based technologies can be particularly beneficial for documentation, conservation, and valorization, provided that these tools are rigorously integrated and combined with direct engagement with the architectural; it is an essential and irreplaceable condition rather than an ancillary one. Drawing on extensive experience in this field, the study reflects a multidisciplinary approach characterized by strong cohesion of intent and shared objectives. It seeks to highlight the advantages of integrating and proactively employing these valuable tools. To this end, the paper presents a highly relevant case study: the recent restoration of the Rotonda di San Tomè, in Almenno; this case exemplifies the adopted survey methodology and illustrates the benefits of an integrated survey program, applied both during the knowledge acquisition phase and throughout the subsequent construction phase
Cross-Linguistic Delegitimization of Women Leaders in Online Political Discourse
This study investigates how Judgement resources in online political discourse contribute to the delegitimization of two women leaders, Isabel Díaz Ayuso and Giorgia Meloni, across Spanish and Italian contexts. Drawing on Appraisal Theory, we analyze 2000 hostile replies posted on X and examine how individual Judgement categories and their co-occurring configurations index stances that undermine the political credibility, competence, and normative alignment of these leaders. The study combines qualitative appraisal annotation with quantitative analyses of category distributions, evaluative configurations, identity-salience cues, and statistical modelling. The findings reveal distinct yet partially overlapping evaluative repertoires across the two settings, highlighting how attacks on competence, morality, authenticity, and behavioral expectations are strategically combined to construct delegitimizing positions, with particularly strong effects for Tenacity-, Normality-, and Propriety-. The study contributes to research on gendered political discourse by showing how evaluative meanings are patterned, internally systematic, and contextually shaped across languages. Implications for cross-linguistic hostility research and the methodological affordances of configuration-based appraisal analysis are discusse
Creativity, the fountain of youth: Association between creativity and semantic memory networks across the lifespan
Creativity relies on the ability to make new associations between concepts stored in our semantic memory in order to create new and effective ideas in a specific context. Recent studies showed that creative people are characterized by more flexible semantic memory structures, which facilitate novel associations between concepts. On the other hand, older adults exhibit more rigid semantic memory structures and ability to access these structures, raising questions about how the relationship between semantic memory networks and creativity may change with ageing. Can creativity support a more flexible reconstruction of semantic memory network during ageing? To investigate this, 77 older adults (M = 77.8 years, SD = 4.63) and 81 younger adults (M = 20.3 years, SD = 1.71) completed four verbal production tasks (i.e., two verbal fluency and two free association tasks), from which semantic memory networks were estimated. Moreover, two divergent thinking tasks (i.e., Alternative Uses Task) were used to assess creative performance. The results showed that the typical maturation of older adults' semantic memory network is associated with a decrease in creative performance in comparison to younger adults. On the other hand, higher creative older adults exhibited preservation of their overall semantic memory flexibility in comparison to lower creative older adults, similar to lower creative young adults. Overall, this study highlights the potential protective role of creativity in supporting active ageing through its propaedeutic role in maintaining a flexible organization and access to semantic memory structures