http://hdl.handle.net/10453/148702 2026-04-08T01:58:02Z http://hdl.handle.net/10453/194581 Title: Biomaterial-enables targeted drug delivery for obesity: Adipose-targeted nanocarriers and tissue-specific therapies Authors: Subramaniyan, V; Sharma, D; Jeyabalan, S; Oliver, B; Dua, K; Paudel, KR; Logeshwari, B; Singh, TG Abstract: Biomaterial-enabled targeted drug delivery represents a transformative approach for treating obesity by exploiting the unique structural and metabolic characteristics of adipose tissue in vascular density, immunological composition, and thermogenic function, offering depot-specific opportunities for therapeutic intervention. Advances in nanocarrier engineering including lipid nanoparticles, polymeric nanoparticles, and liposomes now enable precise delivery of thermogenic agents, anti-inflammatory compounds, and gene modulators to adipose depots. Surface functionalization with peptides, antibodies, or glycans enhances targeting specificity toward markers such as prohibitin, VEGFR2, β3-adrenergic receptors, and macrophage-associated receptors. These engineered systems support mechanisms such as WAT browning, immunomodulation, and controlled drug release, collectively improving metabolic homeostasis. Preclinical studies using diet-induced obese mice and larger animal models have demonstrated favorable biodistribution, safety, and metabolic outcomes, supported by biomarkers including UCP1 expression, macrophage polarization, and systemic metabolic indices. Despite significant progress, challenges remain in manufacturing scalability, immunogenicity reduction, and navigating evolving regulatory requirements. Overall, adipose-targeted biomaterial platforms represent a rapidly advancing field, and this review provides a mechanistic, depot-specific, and translational framework to enhance therapeutic outcomes for obesity with strong potential to enhance therapeutic outcomes for obesity and related metabolic disorders. 2026-05-01T00:00:00Z http://hdl.handle.net/10453/194449 Title: Preparing for the Future: Aligning Engineering Competency Standards Authors: Quince, Z; Lidfors Lindqvist, A; Chen, P 2025-06-05T00:00:00Z http://hdl.handle.net/10453/194377 Title: The Dimensions of Abundance in AI-Generated Feedback Authors: Lindsay, E; Rodda, A; Lidfors Lindqvist, A; Quince, Z; Lim, M; Jiang, D Abstract: <jats:p>Feedback is an integral part of the learning process. However, delivering feedback effectively remains challenging, particularly within massified higher education systems that are characterised by large cohorts and increasingly diverse student populations. The emergence of generative artificial intelligence (GenAI) enables new ways of embedding feedback into educational offerings, some of which may be highly beneficial. In this paper, we introduce Abundant Feedback as a conceptual lens for examining the new capabilities that may be enabled by GenAI. We present a four-dimensional framework identifying the dimensions of GenAI feedback as abundance of Volume, of Availability, of Relevance and of Character. Through a systematic literature search, we describe how these dimensions manifest in recent empirical studies, and identify two educational domains, Computer Programming and Foreign Languages, as early adopters of AI-generated feedback. Beyond merely digitising existing scarce feedback processes, we discuss the emergence of new learner-driven feedback practices that are enabled by abundance, that both stimulate and demand student feedback literacy. Our multi-dimension abundance framework provides a lens, as well as the vocabulary and conceptual tools, to guide the implementation of GenAI feedback in ways that help realise the potential of artificial intelligence to enhance student learning.</jats:p> http://hdl.handle.net/10453/194224 Title: Improving Circularity in Brewing through Data Spaces: A Case Study in Carbon Footprint Allocation Authors: Buescher, J; Pohl, V; Ditterich, D; Hoffmann, F; Wöstmann, R; Müller, C; Wagstyl, D; Fochler, L; Deuse, J Abstract: This paper explores how data space based condition monitoring can enhance circular economy strategies and support sustainability in industrial production using the RIF Cyber Physical Brewhouse as a case study Data spaces characterized by sovereign interoperable and trust based data exchange enable secure collaboration across stakeholders in the value chain Drawing on a literature review and qualitative interview study within the Factory X research project the paper investigates the relevance of data spaces for sustainability from an industrial engineering perspective The conceptual framework shows how sharing timely operational and environmental data through a federated data space for Festo s industrial valve terminal can inform lifecycle decisions Two complementary services are used a RGrading service assesses circularity potential Reuse Recycle Remanufacture Refurbish while a Product Carbon Footprint PCF Management Service allocates the component s PCF based on its estimated remaining useful life A method for assigning the valve s initial PCF to the brewing process is proposed illustrating how data spaces can operationalize sustainability goals and help industrial engineers integrate environmental metrics into operational planning decisions 2026-02-02T00:00:00Z