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Cross-Attentive CNNs for Joint Specral and Pitch Feature Learning in Predominant Instrument Recognition from Polyphonic Music
No full textLa valutazione formativa inclusiva e l’Universal Design for Learning: verso un sistema educativo equo e accessibile / Inclusive formative assessment and Universal Design for Learning are key to creating a fair and accessible education system.
No full textAbstract: L’educazione contemporanea si trova ad affrontare sfide sempre più complesse legate alla diversità crescente degli studenti e delle studentesse e alla necessità di garantire pari opportunità di apprendimento per tutti. In questo contesto, la valutazione formativa inclusiva (VFI) e l’Universal Design for Learning (UDL) emergono come approcci pedagogici fondamenti per creare ambienti educativi in cui è possibile valorizzare le differenze individuali e promuovere il successo formativo di ogni studente. La valutazione formativa inclusiva rappresenta un paradigma che supera i tradizionali modelli valutativi per abbracciare metodologie che riconoscano la variabilità e la diversità dell’acquisizione degli apprendimenti. Al contempo, l’UDL offre un framework teorico di riferimento che guida la progettazione di esperienze accessibili fin dall’inizio, eliminando barriere sistemiche e promuovendo una maggiore autonomia e consapevolezza degli studenti e delle studentesse. Il presente contributo esplora in profondità questi due approcci complementari, analizzando i loro principali fondamenti teorici, le implicazioni pratiche e l’impatto trasformativo sul sistema scolastico.
Abstract: In the contemporary educational environment, there is an increasing recognition of challenges related to the growing diversity of students and the need to ensure equal learning opportunities for all. In this context, inclusive formative assessment (IFA) and Universal Design for Learning (UDL) emerge as fundamental pedagogical approaches for creating educational environments in which individual differences can be valued and the educational success of every student promoted. Inclusive formative assessment represents a paradigm shift in traditional assessment models, embracing methodologies that recognise the variability and diversity of learning acquisition. Conversely, UDL presents a theoretical framework that facilitates the design of experiences that are inherently accessible from the outset. These experiences have the capacity to eradicate systemic barriers, thereby fostering enhanced autonomy and awareness among students. The present paper explores these two complementary approaches in depth, analysing their main theoretical foundations, practical implications and transformative impact on the school system
A School-Based Intervention Program to Reduce Weight Stigma in Adolescents
No full textBackground/Objectives: Weight-based stigma represents a pervasive psychosocial challenge affecting youth worldwide, with significant implications for mental and physical health. Although school-based interventions have been suggested as effective strategies to reduce weight bias, evidence regarding their content and efficacy in real-world educational contexts remains limited. The present study aimed to evaluate the effectiveness of a school-based intervention designed to reduce internalized weight stigma among Italian adolescents. Methods: A total of 539 secondary school students (Mage = 15.91 years; SD = 1.38; 51.5% males) from 10 schools in Italy were randomly assigned to either an intervention group (61.2%, n = 330) receiving the program or a minimal intervention control group (38.8%, n = 209). The intervention integrated psychoeducational modules and activities based on cognitive dissonance theory to address maladaptive weight-related attitudes and associated psychopathological outcomes. Pre- and post-intervention assessments evaluated internalized weight bias and body dissatisfaction in both groups. Results: A significant reduction in internalized weight bias was observed among students perceiving themselves as overweight following the intervention. Additionally, a marginally significant decrease in body dissatisfaction was reported in the intervention group from pre- to post-intervention. No comparable changes were found in the control group. Conclusions: These findings suggest that incorporating cognitive dissonance-based psychoeducational content within school-based programs may be a promising approach for reducing internalized weight stigma in adolescents. Further research is warranted to refine intervention strategies, explore the mechanisms underlying the observed effects, and assess the scalability and long-term impact of such initiatives in school settings
La vita che nasce, a proposito di gestazione per altri e vincoli di solidarietà: il duttile senso di umanità
No full textCentralized and decentralized supply chains: Performance maps for comparing the cost-effectiveness of distribution network configurations
No full textOptimizing Distribution Networks (DNs) is crucial for retailers, impacting service levels and logistics costs. A key DN configuration decision is the stock deployment policy, which entails choosing between centralized, decentralized, and hybrid DNs for each Stock Keeping Unit (SKU). Choosing the stock deployment policy is complex due to many variables influencing the decision (e.g., number of customers served, SKU purchasing costs, customer demand, etc.). Moreover, this decision must be revisited whenever customer demands changes, which can be time-consuming when DN resilience is challenged by geopolitical changes, market trends, and disruptive events. Dimensional Analysis (DA), and particularly the Buckingham Theorem (BT), shows capabilities to support retailers in guiding and streamlining stock deployment decisions. After modeling the stock deployment problem in a mathematical form, BT can identify its influential variables, extract knowledge on how variables mutually interact when affecting the stock deployment performance, and aid informed decision-making on the most cost-effective policy. Accordingly, BT enables creating performance maps which compare the characteristics of different DNs and SKUs, then suggesting similar stock deployment decisions for similar (scaled) DNs and SKUs. Despite the potential utility of these performance maps, no prior study has explored BT's capabilities for stock deployment decisions. This paper bridges this gap by proposing BT to create supportive maps for multidimensional scaling, similarity analysis, and economic performance prediction across centralized, decentralized, and hybrid DNs. The resultant maps provide retailers with visual decision support tools for associating similar DNs and SKUs with optimal stock deployment policies, ultimately improving DN performance and resilience
Corporate Digital Responsibility e Sistemi di intelligenza artificiale: appunti per l’impresa
No full textA gap analysis integrating In vitro - Research in HDR interventional radiotherapy (Modern Brachytherapy): Challenges, limitations, and future directions
No full textrec. a Le stagioni dell’erudizione e le generazioni degli eruditi. Una storia europea (secoli XV-XIX), a cura di JEAN BOUTIER, FABIO FORNER, MARIA PIA PAOLI, PAOLO TINTI, CORRADO VIOLA – Bologna, Clueb («Impronte. Libri e cultura scritta. Studi e cataloghi», 2), 2024, pp. XII-827
No full textDisgusting, sustainable, odd: A study on consumers’ social representation of insect-based food and its association with TPB variables
No full textDespite their potential as sustainable protein sources, insect-based food products are facing slow acceptance by European consumers. The study investigated societal attitudes toward insect-based foods according to a survey of Italian consumers. Employing the Theory of Social Representation (SR) and the Theory of Planned Behavior (TPB) the study adopted a quali-quatitative approach to identify the interplay between cultural factors and determinants of behavioral intentions to consume insect-based foods.
The study sample (N = 380) responded to a two-part online survey: a free word association task to the stimulus “insect-based food” and a structured questionnaire of TPB variables (attitude toward insect-based food, subjective norm, perceived behavioral control, behavioral intention) and its pertinent extensions, i.e., disgust, food neophobia, and positive moral attitudes. The lexical corpus derived from free associations was analyzed with ALCESTE and the resulting lexical classes were illustrated by means of quantitative measures.
Three social representations of insect-based food, varying in their degree of abstraction/concreteness and perceived safety and effectiveness, were identified and labeled as “Simply Disgusting,” “Nutritious and Sustainable,” and “Curiosity and Caution.” Each representation was associated with a well-defined profile of participants and was clearly linked to participants' beliefs about insect-based food, the moral implications of these dietary choices, and consumers' intentions to purchase such products.
The study suggests the need for targeted interventions to address societal misconception and foster a more favorable perception of insect-based food products as viable food options in European diets. Our findings provide insights for policymakers and producers seeking to promote sustainable dietary choices
Defining myocardial fiber bundle architecture in atrial digital twins
No full textA key component in developing atrial digital twins (ADT) - virtual representations of patients’ atria — is the accurate prescription of myocardial fibers which are essential for the tissue characterization. Due to the difficulty of reconstructing atrial fibers from medical imaging, a widely used strategy for fiber generation in ADT relies on mathematical models. Existing methodologies utilize semi-automatic approaches, are tailored to specific morphologies, and lack rigorous validation against imaging fiber data. In this study, we introduce a novel atrial Laplace–Dirichlet-Rule-Based Method (LDRBM) for prescribing highly detailed myofiber orientations and providing robust regional annotation in bi-atrial morphologies of any complexity. The robustness of our approach is verified in eight extremely detailed bi-atrial geometries, derived from a sub-millimeter Diffusion-Tensor-Magnetic-Resonance Imaging (DTMRI) human atrial fiber dataset. We validate the LDRBM by quantitatively recreating each of the DTMRI fiber architectures: a comprehensive comparison with DTMRI ground truth data is conducted, investigating differences between electrophysiology (EP) simulations provided by either LDRBM and DTMRI fibers. Finally, we demonstrate that the novel LDRBM outperforms current state-of-the-art (LDRBMs and Universal Atrial Coordinates) fiber models, confirming the exceptional accuracy of our methodology and the critical importance of incorporating detailed fiber orientations in EP simulations. Ultimately, this work represents a fundamental step towards the development of physics-based digital twins of the human atria, establishing a new standard for prescribing fibers in ADT