Open Access

Durante il XV e XVI secolo il plurilinguismo diventa un tema rilevante nei manoscritti che circolano tra le corti e le botteghe di scrittura europee. Il contatto interlinguistico si articola nelle molteplici varietà italo-romanze diffuse nell’Italia e nella Francia medievale e rinascimentale. Il manoscritto Mscr.Dresd.Oc.56, conservato a Dresda e da collocare nel dibattito cinquecentesco, ospita la traduzione francese del Libro del Cortegiano (1528) di Baldassare Castiglione (1478-1529). Si tratta di una delle più antiche traduzioni francesi dell’opera, realizzata ancora prima della versione a stampa (1537). Nel manoscritto il presunto autore, Jacques Colin (scomparso nel 1547), non funge soltanto da mero traduttore, ma propone anche riflessioni sulla corretta resa di alcuni passi della traduzione, ad esempio a proposito di giochi di parole e modi di dire italiani e francesi. L’articolo, che prende in esame una selezione di passi tratti dal testo di partenza italiano e dalla sua traduzione francese, adotta una prospettiva filologica e linguistica contrastiva. Il contributo offre inoltre alcune considerazioni sulla riflessione linguistica svolta dal traduttore nell’ambito del processo di produzione del Mscr.Dresd.Oc.56.

Additive Manufacturing (AM), also known as rapid prototyping or 3D printing, is widely used across various industries, including medical products and automotive spare parts. The COVID-19 pandemic has further accelerated its adoption to address supply chain disruptions caused by shortages in production resources and logistics constraints. However, as AM integrates into supply chains, structural changes in nodes and data flows create new challenges in information sharing and data standardization. Ontologies have proven effective in enhancing data interoperability and improving information quality through semantic modeling. Despite this, a comprehensive approach that combines AM and logistics ontologies to address cross-domain challenges remains underexplored. This study develops an ontology-based supply chain model for AM by integrating existing AM and logistics ontologies. Using the Design Science Research Methodology (DSRM), the proposed ontology is constructed and instantiated with a sample dataset for validation. The results provide a foundational framework for improving data management and coordination in AM supply chains.

Smoking remains a prominent preventable health risk in Germany, creating a need for effective cessation interventions. Digital smoking cessation interventions (DSCIs) present promising support for individuals aiming to quit, yet their utilization and acceptance are not thoroughly understood. This study analyzes usage patterns and acceptance levels of DSCIs among smokers, occasional smokers, and former smokers in Germany, focusing on user behavior, acceptance determinants, and the influence of prescription and reimbursement status. An online questionnaire based on the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) model was administered to participants. Data were collected through recruitment via social media, email lists, counseling groups, and public postings. The responses were analyzed using SPSS. The study included 173 participants (61.85% female, 37.57% male, 0.58% diverse) with an average age of 35.28 years. They reported smoking for an average of 18.21 years and attempting cessation 3.42 times. Among respondents, 41.62% had used DSCIs, predominantly former smokers (54.17%) and women (79.17%), with the “Smoke Free” app being the most utilized intervention. Although 73.05% expressed willingness to (re)use DSCIs, actual usage showed moderate acceptance levels. Significant predictors of acceptance included willingness to pay (p  = 0.013), self-efficacy (p = 0.018), and physician prescription with clinical evidence (p = 0.019). The results highlight a rising demand for digital solutions focused on long-term smoking cessation, particularly among middle-aged women, emphasizing the need for a deeper understanding of acceptance drivers and model expansions to address healthcare dynamics.