4 Contributo in Atti di Convegno (Proceeding)

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Giustizia riproduttiva e singlehood: sfidare lo stigma dell'orologio biologico

La ricerca sulle relazioni intergruppi ha esplorato stereotipi e pregiudizi legati al genere, all’orientamento sessuale, all’etnia e alla religione. Una dimensione ancora poco indagata riguarda, tuttavia, le persone single, spesso soggette a una forma di pregiudizio definita singlism—la convinzione secondo cui il benessere personale dipenderebbe da una relazione sentimentale stabile (DePaulo & Morris, 2005). Questo lavoro intende indagare come le aspettative sociali nei confronti dell...

Dall’aula al prodotto. Competenze di design del giocattolo e prefigurazioni professionali delle educatrici per l’infanzia

Il contributo descrive un’iniziativa promossa dal Corso di Laurea in Scienze dell’educazione e della formazione dell’Università di Siena nell’ambito dell’insegnamento di Gioco & Gamification per gli A.A. 2023/2024 e 2024/2025, in partnership con un’azienda tedesca di giocattoli, la Beleduc Lernspielwaren. L’iniziativa si situa nel contesto di studi e ricerche sullo sviluppo delle prefigurazioni professionali di laureate nei corsi di Laurea L-19 (Rossi & Fabbri, 2008). La tesi che ques...

Active in-service training on transversal skills: two pilot vases in STEM disciplinary teaching

Promoting gender equality in STEM disciplinary teaching and self-assessment skills in students requires transversal competences and methodologies that are usually not included in teachers' cultural background. Based on previous experiences, we implemented, in an interdisciplinary team, two in-service training courses for teachers. In one, after introducing the topic of gender and related educational issues, teachers were invited to develop a learning path to be implemented in class in the fol...

Combining specialized Sentinel-2 time series features with AlphaEarth Foundations for forest type mapping

Accurate mapping of forest types and vegetation characteristics is essential for monitoring biodiversity and forest dynamics. Traditional Deep Learning (DL) models trained on Sentinel-2 time series achieve high performance, but require extensive preprocessing and sensor-related fine-tuning. In this study, we evaluate the recently introduced AlphaEarth Foundations (AEF) embeddings, which is a global, multi-modal feature representation of the earths surface, for forest mapping in Italy. We comp...

Vascular network tracking in SLO ocular fundus images for static and dynamic parameter extraction

In this work a tracking algorithm which extracts the vascular network structure from fundus Scanning Laser Ophthalmoscope (SLO) images is presented. The tracking algorithm is based on a priori knowledge of the vessel structure. It exploits the continuity of radius, position, direction and brightness of a blood vessel and is based on a recursive strategy. First, a main vessel is tracked and its branch points on both sides are identified. Then, the tracking process is applied again to the ident...

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