University of Modena and Reggio Emilia
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The Relationship Between the Vaginal Microbiota and the Ovarian Cancer Microenvironment: A Journey from Ideas to Insights
No full textCreatività ed esperienza estetica. Attraversamenti dal «Reggio Emilia approach» alla «Scuola diffusa» per un nuovo apprendimento/insegnamento
No full textMonitoring technology for pest-plant interactions: The need for transdisciplinary research design
No full text: Transdisciplinary projects often fail to meet their goals due to institutional hurdles. Here are recommendations of how to achieve true transdisciplinarity in agricultural research. [Image: see text
‘Think-Leader—Think-Who?’ The Role of Motivated Closed-Mindedness and Positive Intergroup Contact on Secondary Transfer Effect
No full textPrejudicial access to leadership positions for members of groups that are perceived as counterstereotypical or unfit (i.e., women, Black people, homosexuals) for leadership positions in organisations is still a matter of concern. This cross-sectional study was conducted in Italy (a context wherein these three groups are underrepresented in leadership roles) on a sample of workers and addressed whether the outcomes of positive contact with women as managers could be extended towards secondary outgroups of Black/homosexual managers. Evidence supported the expectation that the positive target-focused outcomes of contact with women managers in participants characterised by high need for cognitive closure (NCC) would be translated into more favourable attitudes towards Black and homosexual managers not involved in the contact experience. Implications of results concerning the reduction of inequalities in the workplace and changes in individuals' mindsets were discussed. Specifically, the eventual tertiary effects of positive contact with counterstereotypical women in managerial positions in challenging high NCC individuals' mindsets, thus smoothening their tendency to be prejudice-prone, were discussed
First Evidence for Direct CP Violation in Beauty to Charmonium Decays
No full textThe CP asymmetry and branching fraction of the Cabibbo-Kobayashi-Maskawa-suppressed decay B+→J/ψπ+ are precisely measured relative to the favored decay B+→J/ψK+ using a sample of proton-proton collision data corresponding to an integrated luminosity of 5.4 fb-1 recorded at a center-of-mass energy of 13 TeV during 2016-2018. The results of the CP asymmetry difference and branching fraction ratio are ΔACPACP(B+→J/ψπ+)-ACP(B+→J/ψK+)=(1.29±0.49±0.08)×10-2, Rπ/K[B(B+→J/ψπ+)/B(B+→J/ψK+)]=(3.852±0.022±0.018)×10-2, where the first uncertainties are statistical and the second are systematic. A combination with previous LHCb results based on data collected at 7 and 8 TeV in 2011 and 2012 yields ΔACP=(1.42±0.43±0.08)×10-2 and Rπ/K=(3.846±0.018±0.018)×10-2. The combined ΔACP value deviates from zero by 3.2 standard deviations, providing the first evidence for direct CP violation in the amplitudes of beauty decays to charmonium final states
DigCompEdu 4 Inclusion: A framework for promoting teachers’ digital competences for inclusion.
No full textIl presente contributo illustra lo sviluppo e la validazione del framework DigCompEdu 4 Inclusion, un’estensione del modello europeo DigCompEdu volta a promuovere un uso critico e pedagogicamente fondato delle tecnologie digitali a supporto della didattica inclusiva. Elaborato attraverso una revisione della letteratura e validato mediante un processo empirico con un panel di esperti, il framework integra le tre dimensioni dell’Index for Inclusion e introduce quattro nuove competenze chiave per l’insegnamento inclusivo. Tale estensione risponde alle esigenze della scuola post-Covid e alle trasformazioni legate all’Intelligenza Artificiale, offrendo un modello di progettazione orientato a personalizzazione, accessibilità e autonomia degli studenti, in linea con i principi dell’UDL e dell’ICF. I risultati della validazione confermano la chiarezza, la coerenza interna e la rilevanza del modello, delineando il DigCompEdu 4 Inclusion come uno strumento teorico-operativo capace di supportare gli insegnanti nelle pratiche didattiche e nei processi di autovalutazione.This paper presents the development and validation of the DigCompEdu 4 Inclusion framework, an extension of the European DigCompEdu model, designed to promote a critical, pedagogically grounded use of digital technologies to support special education. Developed through a literature review and validated via an empirical process involving a panel of experts, the framework integrates the three dimensions of the Index for Inclusion and introduces four new key competences for inclusive teaching. This extension addresses the needs of post-Covid schooling and the profound transformations introduced by Artificial Intelligence, providing an instructional design model that promotes personalization, accessibility and student autonomy. The validation results confirm the clarity, internal coherence and relevance of the framework. DigCompEdu 4 Inclusion therefore stands as both a theoretical and operational tool that can support educators in teaching practices and self-assessment, fostering an inclusive use of digital technologies
From Policy to Practice: A Delphi Protocol on Life Projects for Autistic Adults
No full textThis study presents a research protocol employing the Delphi method to develop a consensus-based definition of the Life Project (LP) for autistic adults in the Italian context. LPs, conceived as individualized, person-centered plans, aim to promote autonomy, social inclusion, and quality of life through coordinated health and social care interventions. Despite recent legislative and policy advancements in Italy a unified operational definition and implementation framework for LPs remains lacking. The protocol outlines a three-round Delphi process engaging a panel of 50-80 experts across clinical, social, legislative, and experiential domains. The initial survey will elicit qualitative data regarding current practices, challenges, and priorities in LP development. Second and third rounds will refine emerging themes and evaluate consensus using Likert-scale ratings, with consensus defined as >= 80% agreement. Data will be analyzed through thematic and descriptive statistical methods. The study has received ethical approval from the Comitato Etico di Ateneo per la Ricerca of the University of Modena and Reggio Emilia (Protocol Approvation No. 46821; 17 March 2025). This protocol research is expected to produce a structured and actionable definition of the LP, as well as a consensus-based set of practices and principles to guide implementation. By involving stakeholders from diverse regions and disciplines, the study ensures ecological validity and responsiveness to local service delivery contexts. The outcomes aim to support LP practices across Italy and inform future research on their impact on the well-being of autistic adults
Imparare a imparare nella scuola dell’infanzia. Una ricerca esplorativa sulle concezioni e sulle pratiche educative dei docenti.
No full textOptimizing Sign Language Recognition Through a Tailored MobileNet Self-Attention Framework
No full textExplainable Artificial Intelligence for Quality Estimation of MARSIS Observations
No full textPlanetary remote sensing missions are critical for advancing our understanding of extraterrestrial systems. They operate in highly uncertain environments where reliability and resolution are not always guaranteed, often compromising data analysis and scientific outcomes. In this paper, we consider the challenging task of estimating the quality of the signal acquired by MARSIS, the subsurface sounder aboard ESA’s Mars Express mission, which aims to map the presence of liquid water beneath the Martian surface. Quality estimation has a strategic impact on the scheduling of MARSIS observations, since the radar operates with strict constraints that greatly limit the number and size of observation opportunities available per day. Thus, maximizing the quality of scheduled observations becomes a crucial factor in reducing resource utilization and increasing the coverage of the target areas in search of liquid water. To this end, in a previous research we proposed a predict-then-optimize approach, which included a neural network regressor to predict signal quality achievable by future observation opportunities, based on contextual features. In this work, we advance the methodology by applying explainable artificial intelligence techniques that allow domain experts to interpret the results, by enhancing the comprehension of the physical phenomena that have an impact on signal acquisition. Specifically, we applied a SHAP analysis to the neural network predictions and trained an Explainable Boosting Machine (EBM) to provide interpretable models. We then analyzed and compared the results with existing domain knowledge, uncovering promising new avenues for investigation and highlighting limitations in the current dataset construction