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This thesis examines the electrification of district heating in Greater Copenhagen, focusing on how key actors perceive the system’s future and which constraints hinder the scaling of electrified district heating. It adopts a qualitative single-case study design, drawing on interviews, recordings, and reports. The analysis is informed by Large Technical Systems theory, particularly the concept of

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This thesis examines how biodiversity policy ambitions and scientific biodiversity knowledge can be translated into practical site-level actions within an industrial context. The research was conducted in collaboration with Volvo Group, specifically Volvo Trucks Tuve, focusing on biodiversity measurement methods, organisational readiness, and the development of operational biodiversity strategies.

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Only a small fraction of municipal waste is currently prepared for reuse (PfR), despite it being the prioritized waste‑treatment option in the EU Waste Hierarchy and a key contribution to slowing resource loops within the Circular Economy. Although many discarded products retain both functional and economic value, the absence of appropriate infrastructure and processes within municipal waste manag

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Early-stage sustainable fashion enterprises face a structural paradox: they are increasingly expected by funders, investors, and programme partners to demonstrate measurable environmental performance, yet the ISO-compliant Life Cycle Assessment (LCA) that rigorous measurement demands is largely inaccessible to ventures operating with small teams, limited data infrastructure, and constrained budget

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Waste Electrical and Electronic Equipment (WEEE) generation resulting from rapid digitization and increasing electronic device use poses significant environmental and public health risks, particularly in developing countries. In response, Nigeria established an Extended Producer Responsibility (EPR) programme for WEEE, which is currently being implemented. However, its effectiveness in achieving i

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This thesis investigates how modifying the initial angular momentum (AM) condition of a Milky Way-like dark matter halo affects the orbital and structural properties of its satellite subhalos. This work uses a suite of five dark-matter-only (DMO) cosmological zoom-in simulations, the VINTERGATAN-GM-AM, in which the initial AM of the Lagrangian patch is modified using the genetIC code to obtain the

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The gaseous halo around galaxies, known as the circumgalactic medium (CGM), has been inferred from observations and simulations to transition from cold chaos to hot stability (virialisation), but the road it takes is uncertain. One of the possible routes is via the ejections of energy and matter from stars, called stellar feedback, within the galaxy, providing the necessary thermal support to stab

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β Pictoris is a nearby, young planetary system hosting an edge-on oriented dust disk. It is not only the system where the first exocomets were discovered, but also the most studied exocomet system. Decades of observations since the first exocomet discovery in the 1980’s have shown spectroscopic transits of evaporating exocomets at close orbital distances to the host star. Although many observation

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This paper examines the challenges and opportunities faced bycritical agrarian scholars in and from the Global South. We arguethat despite the historical and structural limitations, the criticaljuncture of convergence of crises and renewed interest inagrarian political economies offers an opportunity for fostering adiverse research agenda that opens space for critical perspectivesabout, from and b

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The complexity of the perishable food supply chain (PFSC) and disruption vulnerability are rising gradually from technical failures, demand fluctuations, equipment failures, and labor shortages. This research emphases on how digital technologies (DT) can contribute to the resilience of these supply chains (SC), particularly when challenged with obstacles. The research employs the DEMATEL technique

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We here present an RF-DAC-based PD featuring IQ expansion, a linearization concept using segmented non-linear RF-DACs combined with increased expansion in the IQ direction. The proposed predistorter, realized within the RF-DACs themselves, is very hardware efficient, only requiring a small amount of additional hardware compared to a conventional RF-DAC. The proposed RF-DAC-based PD, realized in a

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Post-harvest losses are a significant challenge in Bhutan and Nepal, where around half and two thirds of the population rely on agriculture for their livelihoods. Traditional open-sun drying methods suffer from contamination, slow drying and weather vulnerability, contributing to losses that can reach 40%–73% for certain crops. While improved solar drying technology offers promising opportunities

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Solar drying is an effective method for food preservation; however, conventional solar dryers often suffer from limited heat transfer and non-uniform airflow, which increases drying time and reduces product quality. These limitations are largely associated with the use of flat absorbers and heat exchangers that restrict turbulence development and weaken thermal performance. To address this issue,

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Agenda 2030 för en hållbar utveckling betonar vikten av att integrera globala mål i lokal praktik, särskilt genom tvärsektoriella partnerskap. Ett sådant internationellt fokus på kvantifiering och samarbete väcker frågor om huruvida individers rättighetsanspråk kan prioriteras i lokal tvärsektoriell samverkan. Denna studie undersöker samspelet mellan social hållbarhet och mänskliga rättigheter inoThe 2030 Agenda for Sustainable Development emphasises the use of global goal-setting in local practices, particularly through cross-sector partnerships. This focus on quantification and collaboration raises questions about how such spaces shape individual right-holders’ opportunities to claim rights. This study examines the interplay between social sustainability and human rights in urban develop

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An ever increasing number of applications is starting to adopt AI/ML components to unlock advanced capabilities and functionalities that are extremely hard or even not feasible at all to implement with more traditional approaches. The cost to be paid for these advancements lies in their computational requirements, which is often so significant that dictates their offloading to dedicated powerful c