https://repository.utm.md/handle/5014/36520 Mon, 29 Jun 2026 20:05:59 GMT 2026-06-29T20:05:59Z https://repository.utm.md/handle/5014/36649 Conferința Ştiințifică Naţională "Inovația: Factor al Dezvoltării Social-Economice" Volumul include materialele Conferinței Ştiințifice Naţionale "Inovația: Factor al Dezvoltării Social-Economice". Organizatori: Universitatea Tehnică a Moldovei, Centrul Universitar "Bogdan Petriceicu Hasdeu" din Cahul. Texte în limba engleză Thu, 01 Jan 2026 00:00:00 GMT https://repository.utm.md/handle/5014/36649 2026-01-01T00:00:00Z https://repository.utm.md/handle/5014/36648 Apple and pear by-products – sources of bioactive compounds for the food industry CICANCI, Alexandra; RUMEUS, Iurie; VÎȘCU, Irina; CECLU, Liliana; BLEJAN, Ana Maria; CORBU, Alexandru Radu; NOUR, Violeta Fruit and vegetable wastes and by-products derived from food processing industry represents nowadays, one of the most common environmental and economic problems. Huge amounts of wastes and byproducts are generated. The apple and pear pomace includes the peel, seeds, stem, cores and some edible parts, which traditionally are formed during apple processing. In recent years, researchers have established that these by-products are a valuable source of functional nutrients: phenolic compounds, pigments, dietary fibers, essential oils, enzymes, vitamins and fatty acids. Therefore, valorization and conversion of these byproducts into new reusable products can contribute to the mitigation of environmental problems and make a path towards sustainable development. Apple pomace contains ample amounts of health promoting phytochemicals, including phenolic acids, flavanols, anthocyanins, and dihydrochalcones. This work was supported by a grant of the Ministry of Research, Innovation and Digitization, CNCS – UEFISCDI, project number PN-IV-PCB-ROMD-2024-0141, within PNCDI IV and NARD 25.80013.5107.24ROMD. Thu, 01 Jan 2026 00:00:00 GMT https://repository.utm.md/handle/5014/36648 2026-01-01T00:00:00Z https://repository.utm.md/handle/5014/36647 Mapping and comparative analysis of artificial intelligence applications in the circular economy POPOVICI, Ilona The transition toward a Circular Economy (CE) requires intensive digital innovation, with Artificial Intelligence (AI) identified as a crucial accelerator for achieving sustainability in areas such as resource management and production. This study examines the global landscape of AI and Machine Learning (ML) applications in CE systems, addressing the complexity of material flows and the demand for real-time data. The specific objective is to map the latest trends, methodologies, and best practices in the integration of AI to enhance material circularity, resource efficiency, and production sustainability. This article was developed with the support of the project "AI-Empowered Innovation in Natural Science and Engineering for Circular Economy" (AI-InnoScEnCe), ref. no. 101127683, funded by the European Union through the "Horizon Europe" research and innovation programme. The views and opinions expressed are those of the author alone and do not necessarily reflect those of the European Union. The European Union cannot be held responsible for them. Thu, 01 Jan 2026 00:00:00 GMT https://repository.utm.md/handle/5014/36647 2026-01-01T00:00:00Z https://repository.utm.md/handle/5014/36646 AI-based educational platforms as a vector for cooperation and technology transfer in science and engineering for the circular economy VÎȘCU, Irina The transition to a circular economy, conceptualised as a regenerative system that minimises resource input and waste, emissions and energy leakage, requires new forms of collaboration between universities and industry, as well as graduates able to address complex sustainability and resource-efficiency challenges. AI-based educational platforms can function as shared digital infrastructures that connect scientific knowledge, real industrial data and project-based learning in science and engineering, in line with recent work on AI applications in higher education and STEM and on AI-enhanced tools for engineering education. Such platforms are particularly relevant as artificial intelligence and digitisation are increasingly recognised as key enablers of circular business models and innovation. This study examines how such platforms can act as drivers of cooperation and technology transfer for circular-economy-oriented engineering education, building on sustainable models of university–industry collaboration. This article was developed with the support of the project "AI-Empowered Innovation in Natural Science and Engineering for Circular Economy" (AI-InnoScEnCe), ref. no. 101127683, funded by the European Union through the "Horizon Europe" research and innovation programme. The views and opinions expressed are those of the author alone and do not necessarily reflect those of the European Union. The European Union cannot be held responsible for them. Thu, 01 Jan 2026 00:00:00 GMT https://repository.utm.md/handle/5014/36646 2026-01-01T00:00:00Z