https://hdl.handle.net/10807/83122 2026-07-13T05:31:53Z 2026-07-13T05:31:53Z https://hdl.handle.net/10807/341435 2026-06-30T23:18:30Z 2025-01-01T00:00:00Z

Titolo: Circular Economy Rebound Effect in the Food Sector: an Agent-based Model Autori: Francesco Bertolotti; Claudia Colicchia; Stella Viscardi; Alessandro Creazza Abstract: Food waste represents a significant challenge for the food sector, and circular economy practices can reduce the negative sustainability impacts of food waste. Nevertheless, the Circular Economy Rebound (CER) effect may diminish the effectiveness of circular practices. To explore CER in the food sector and the circumstances that trigger it, this study develops an agent-based model simulating consumer behavior in response to circular economy strategies. This method provides valuable insights into the potential impacts of circular initiatives, also offering guidance for companies aiming to adopt circular economy practices effectively.

2025-01-01T00:00:00Z https://hdl.handle.net/10807/340905 2026-06-27T00:18:13Z 2024-01-01T00:00:00Z

Titolo: Gian Giacomo Poldi Pezzoli’s international network and models for a modern museum Autori: Lavinia Maddalena Galli Abstract: This article investigates the international network of Gian Giacomo Poldi Pezzoli (1822–1879) and examines how his travels, intellectual relationships, and collecting practices shaped the creation of one of the earliest modern house museums in Europe. Drawing on newly identified archival sources—including the collector’s account book and documents from previously unexplored archives—it reconstructs Poldi Pezzoli’s cultural biography and situates his activities within the broader context of nineteenth-century European collecting. The study demonstrates that his refined taste was fostered through exchanges with leading connoisseurs, antiquarians, artists, and museum professionals, including Giovanni Morelli, Otto Mündler, Charles Eastlake, Giuseppe Molteni, and Giuseppe Bertini. Their influence is traced in the formation of his collections of Old Master paintings, decorative arts, arms and armour, and in the innovative display of these works within historically inspired period rooms. Particular attention is devoted to the impact of museums such as the Musée de Cluny and the South Kensington Museum, whose models Poldi Pezzoli creatively adapted to the Italian context. By highlighting the transnational circulation of ideas, objects, and expertise, the article argues that the Museo Poldi Pezzoli emerged not merely as a private collection but as a pioneering cultural institution that profoundly influenced subsequent museum practice in Europe and the United States.

2024-01-01T00:00:00Z https://hdl.handle.net/10807/340606 2026-06-25T00:10:28Z 2024-01-01T00:00:00Z

Titolo: Nuove indagini nel MAPOD4D GAM: acquisizioni in digitale e con diagnostica per immagini delle ossa cremate dell’urna CSPAV-D1 Autori: O. LARENTIS; F. DI MARCO; R. TAGLIORETTI; A. MAZZUCCHI Abstract: Nuove indagini nel MAPOD4D GAM: acquisizioni in digitale e con diagnostica per immagini delle ossa cremate dell’urna CSPAV-D1

2024-01-01T00:00:00Z https://hdl.handle.net/10807/340229 2026-07-12T06:58:34Z 2026-01-01T00:00:00Z

Titolo: AI-assisted task-based language teaching: EFL learners’ acquisition of collocations through ChatGPT and movie language Autori: Poli, Francesca; Morgana, Valentina Abstract: This study investigates the potential of generative artificial intelligence (AI), specifically ChatGPT primed with data from the American Movie Corpus (AMC), to support the acquisition of high- frequency spoken collocations in a general English context. Thirty-four B2-level Italian university students were randomly assigned to guided AI, unguided AI, or non-AI control conditions and completed a ten-week task-based language teaching (TBLT) programme. Eight target collocations (e.g., good thing, little problem, get home) were selected based on frequency and statistical association measures (t-score > 2; MI > 3) in the AMC. Learner output was analysed using a linear mixed-effects model to compare collocation frequency at pretest, posttest and delayed posttest. While no statistically significant differences emerged between instructional conditions, the findings point to important trends that suggest potential benefits of AI-mediated tasks. These results are interpreted with caution, given small, unequal groups and a conservative bigram operationalisation that may underestimate more flexible patterns. While the integration of corpus-informed input into AI-mediated tasks remains promising, sustained exposure, stronger focus-on-form, and broader pattern coding may be required to detect gains.

2026-01-01T00:00:00Z