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Synergizing residual and dense architectures for fine-grained oil palm grading : a deep feature concatenation approach

Accurate grading of Oil Palm Fresh Fruit Bunches (FFB) is pivotal for maximizing agricultural yield, yet manual assessment in unstructured environments remains labor-intensive and subjective. While Convolutional Neural Networks (CNNs) offer an automated solution, the conventional strategy of scaling network depth often yields diminishing returns or overfitting on moderately sized datasets. To over

Use of literary texts in science teaching : A scoping review

Previous research in various educational areas has shown that literary texts have much to contribute through offering perspectives, contexts, and ways of presenting content. The present study has a particular focus on science education. The purpose of science education is under debate, and research as well as large-scale frameworks such as PISA increasingly highlight student agency and action comp

Summary of the International Society for Heart and Lung Transplantation (ISHLT) Consensus Conference on Graft Dysfunction within the First 72 hours after Heart Transplantation : A 10-year Update

Primary graft dysfunction (PGD), defined as ventricular dysfunction occurring within 24 hours after heart transplantation (HTx) in the absence of identifiable secondary causes, remains a major contributor to early post-transplant mortality. Over the past decade, there has been a growing understanding of the burden of PGD, the clinical relevance of PGD classification and severity grading, and effor

Unlocking Youth Empowerment through Social Innovation: A qualitative case study of the Ashoka Youth for Change programme in Belgium

This thesis investigates how the experience of founding a youth-led social-innovation project can enhance young people’s agency for sustainable development, through a qualitative single-case study of Ashoka Belgium’s 2023 Youth for Change (Y4C) programme. Grounded in a social-constructivist, abductive logic, the study uses semi-structured interviews and mobilises three strands of scholarship—Socia

The Institutional Drivers of Commercialization Efficiency

This thesis investigates how formal, national-level institutional factors shape the translation of R&D inputs into marketable innovation outputs in high- and medium-high-technology (HMHT) manufacturing. Focusing on Sweden’s persistent “innovation paradox”, high R&D intensity but comparatively modest commercialization—the study examines three institutional dimensions: domestic value added (

Opportunities and Challenges of Establishing a Startup in Portugal - Swedish Startup's Perceptions of the Business Climate in Lisbon

Abstract Title: Opportunities and Challenges of Establishing a Startup in Portugal Swedish Startup’s Perceptions of the Business Climate in Lisbon Seminar date: 28th of May 2025 Authors: Vendela Eriksson Supervisor: Tobias Karlsson Keywords: Business climate, business ecosystem, Lisbon, startup, entrepreneur, entrepreneurship Purpose: The purpose of this research is to examine the challenges and o

Trajectories and Turning Points: Swahili Agency in the Portuguese Age of Discovery

This thesis examines the extent to which Swahili agency shaped the Portuguese arrival as a turning point in East African economic history. Situating the encounter within the longue durée of Swahili integration into Indian Ocean trade networks, it aims to challenge interpretations that portray colonial contact as a purely exogenous rupture. Drawing on a bargaining-power framework, the study thus an

The Consequences of FATF Greylisting

In February 2023, South Africa was placed on the Financial Action Task Force (FATF) greylist, raising concerns about the effects of this decision on the country. Existing studies focus mainly on macroeconomic indicators and legal analysis, with little evidence on how people experience greylisting. This thesis explores how key financial, regulatory and policy stakeholders perceive the economic, reg

Computing Uncertainty: An Ethnography of Digital Decision-Making within Danish Mental Healthcare

This thesis explores the intersection of psychiatric expertise, artificial intelligence (AI), and infrastructural practices through an ethnographic study of the PERSONAE project—an initiative aiming to develop personalised, AI-driven digital treatment for depression within Danish mental healthcare. Drawing on four months of fieldwork, the analysis reveals how anticipatory logics, affective negotia

Ozonation before and after nitrogen removal: Consequences for ozone demand in light of the new urban wastewater treatment directive

Micropollutant removal is a key component of the revised Urban Wastewater Treatment Directive (UWWTD) and can be achieved with ozonation. During ozonation, the composition of the wastewater matrix and the targeted treatment level for individual micropollutants or groups of such compounds affect ozone consumption. In this work, it was hypothesized that nitrite scavenging, the point of dosing (befor

Dramaturgies of a Connecting Costume

Part of the online anthology of the artistic research project Costume Dramaturgies – The Dramaturgy of Things in Performance. The project explores the dramaturgy of things – as costume – in performance, where dramaturgy is understood as an assembly of human and nonhuman “things.”

Antibiotic use and gut microbiome composition links from individual-level prescription data of 14,979 individuals

Disruptions in gut microbiome are implicated in cardiometabolic disorders and other health outcomes. Antibiotics are known gut microbiome disruptors, but their long-term consequences remain underexplored. Here we combined individual-level data from the Swedish Prescribed Drug Register with fecal metagenomes of 14,979 adults to examine the association between oral antibiotic use over 8 years and gu

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In Charlotte Østergaard’s artistic research practice, co-creation is not merely a matter of establishing horizontal forms of collaboration between people. It is an investigation of how people, textile materials and local atmospheres mutually influence and respond to each other. Here, Charlotte Østergaard provides an insight into her current research and practice.

Vatten som resurs

Denna artikel undersöker hur vardagliga och samhälleliga föreställningar om vatten som resurs ges uttryck i Sverige i en tid av ökande klimatförändringar och andra utmaningar. Artikeln tar utgångspunkt i frågelistan Vatten som resurs (Folklivsarkivet, 2025), som är framtagen inom forskningsprojektet Gröna tjänster och värdeskapande vatten. Genom över hundra insamlade utsagor analyseras hur människ

Antecedent hypoglycaemia impairs glucagon secretion by enhancing somatostatin-mediated negative feedback control

Somatostatin, produced by pancreatic islet δ cells, is a key intra-islet paracrine factor that regulates the secretion of the glucoregulatory hormones insulin and glucagon from β cells and α cells, respectively. Here, we show that glutamate and glucagon released by α cells cooperatively activate neighbouring δ cells through AMPA and glucagon receptors, thereby enabling spatiotemporal feedback cont

Water Security in Lower Akagera, Rwanda: Climate variabilities, Water Demand, and Impact in a Drought Prone Catchment

Den torkdrabbade Östra provinsen i Rwanda upplever återkommande vattenbrist som begränsar befolkningens försörjningsmöjligheter. Denna studie undersöker säsongsvariationer i vattenanvändning, tillgång och effekter av vattenbrist i Lower Akagera-området genom en kombination av hushållsintervjuer, grundvattenövervakning och fjärranalys av dammar. Ett Normaliserat Vattenanvändningsindex utvecklThe drought-prone Eastern Province of Rwanda faces recurring water scarcity that constrains rural livelihoods. This thesis investigates seasonal water use, availability, and impacts in the Lower Akagera catchment by combining household interviews, groundwater monitoring, and remote sensing of dams. A Normalised Water Use Index (NWUI) was developed to capture seasonal groundwater abstraction and l

Anisotropic to Isotropic Reconstruction of Infant Brain MRI using Deep Learning

Användning av artificiell intelligens för att förbättra kvaliteten på MR-bilder av spädbarnshjärnan. Kliniska MR-bilder har ofta låg upplösning på grund av tids- och resursbrist på sjukhus. I det här projektet undersöks om artificiell intelligens kan användas för att förbättra upplösningen av MR-bilder - ett sätt att underlätta för både forskning och diagnostik. Magnetkameran (MR) är ett viktigtBrain magnetic resonance imaging (MRI) is an important tool for diagnosing neurological diseases and is widely used in research to study brain development and aging. However, acquiring high-resolution (HR) isotropic MRI is time- and resource-consuming, which often leads to acquisition of low-resolution (LR) anisotropic MRI instead. In recent years, deep learning has shown promising advancements in

Wireless Indoor Positioning Using Channel Charting: A Comparison of Deep and Graph Neural Networks

Indoor positioning is a challenging problem due to complex environments, signal attenuation, and multi-path effects. A promising approach to this problem is channel charting on wireless networks, where high-dimensional channel state information (CSI) is mapped into a low-dimensional latent space, which preserves spatial relationships in a self-supervised manner. Channel charting can be deep learni

Arbetsmiljöansvar i bemanningsbranschen - En undersökning av den arbetsmiljörättsliga ansvarsfördelningen mellan bemanningsföretag och kundföretag

Uppsatsen behandlar det arbetsmiljörättsliga ansvaret i bemanningsförhållanden och hur detta fördelas mellan bemanningsföretag och kundföretag. Syftet är att analysera den rättsliga regleringen av ansvarsfördelningen samt att identifiera rättsliga och praktiska utmaningar som uppstår när arbetsmiljöansvaret delas mellan flera aktörer. De centrala frågeställningarna är hur ansvaret fördelas enligt This thesis examines the allocation of occupational health and safety responsibility in temporary agency work arrangements and how such responsibility is divided between the temporary work agency and the user undertaking. The purpose is to analyse the legal framework governing this allocation of responsibility and to identify legal and practical challenges arising when occupational health and safe

Reassessing boreal wildfire drivers enables high-resolution mapping of emissions for climate adaptation

The expansive carbon reservoirs of the boreal region are becoming some of the most rapidly growing sources of greenhouse gasses under a positive feedback between intensifying fire activity and climate change. However, current regional-scale methods lack the spatial precision needed to improve understanding of the drivers of these fluxes to inform strategies aimed at maximizing landscape carbon sto