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Since the introduction of Edison’s lightbulb over one-hundred years ago, humanity has struggled to keep up with electrification for all. With global attention now aimed at sustainable energy production, the struggle becomes more complex by not only obliging energy access, but access to clean energy. The concept of microgrids has been promising for filling in the demand, but not quickly enough to m
Neonicotinoid insecticides are agonists to nicotinic acetylcholine receptors (nAChRs) in the brains of insects. At sub-lethal doses these chemicals cause behavioral abnormalities in several bee species, reducing overall fitness. nAChRs expressed in the optic lobes of insects bind neonicotinoids, thus may be involved in these behavioral changes. Here we attempted without success to visualize the pr
G protein coupled receptors (GPCRs) is the largest superfamily of membrane proteins and convert a multitude of extracellular signals and turn them into intracellular responses by binding and activating just a few G proteins. The mechanism for activation is very conserved and is likely to be similar for all GPCRs and G proteins, but how a vast amount of GPCRs selectively couple to specific G protei
2016-2018, a national user-led organization within the psychiatric field in Sweden established a partnership-based model regarding the implementation and management of peer support within psychiatric health care units. This study was based on a user-led organization and a psychiatric health care organization about to initiate such a partnership. The aim was to examine how these parties constructed
In this study, the extraction and isolation of xylan from milled oat hull materials was investigated. Alkali extraction by 2 M sodium hydroxide at 40°C overnight was applied. The yield of extracted xylan was 5%. The extracted xylan was isolated from the extraction mixture by ethanol (99.9%) after neutralization and its purity was checked, resulting in a66% pure product. The semi-purified xylan was
Tolkning och kvantifiering av strålningseffekter pga. atmosfäriska partiklar är en signifikant del av IPCC’s modellering av hur tidigare klimat förändrats och hur förändringar i framtiden kommer se ut. I den här studien vill vi strukturera och analysera observationer av huvudsakligen svavelpartiklar positionerade i stratosfären från naturliga och möjligtvis mänskliga källor, med hänvisning till va
Applied Machine Learning in Steel Industry – Examination of possible applications of machine learning for SSAB Oxelösund In modern industry there are high demands for increased resource efficiency that in part are motivated by the stronger competition on the global market, as well as by the societal necessity for a more sustainable industry. This master thesis project examines applied machine lear
Studien undersöker hur vi kan förstå AI för emotionellt- eller mentalt stöd, genom användares egna berättelser och diskussioner om denna typ av AI-användning. Syftet med undersökningen är att bidra till fördjupad sociologisk kunskap om hur användare upplever och tolkar stödet för att det ska bli meningsfullt och användbart för emotionellt- eller mentalt välbefinnande. Ämnet är fortfarande relativt
När ett nedslag gräver upp och modifierar Mars yta, genom att medföra material från djupare delar till ytan, öppnar det fönster ner till äldre geologi. Att försöka förstå ytegenskaper på Mars och hur källmaterialet beter sig vid ett nedslag kräver en metod från flera perspektiv. Tidigare forskning har främst fokuserat på ejecta och ejektamorfologi som en indikator på ytegenskaper. Däremot kan ävenWhen an impact excavates and modifies the Martian surface, by bringing deeper lying material to the surface, it opens a window into past geology. Trying to understand surface properties on Mars and how target material behaves during impact requires a multi-view approach. Previous research has focused mainly on ejecta emplacement and morphologies as a proxy for surface properties. However, interior
Dark matter remains a largely elusive phenomenon, particularly its composition. Several candidate particles have been proposed, including axions and axion-like particles (ALPs). Detection of axions and ALPs have been attempted but none so far have yielded positive results. The High Intensity Baryon Extraction and Measurement instrument (HIBEAM) at the European Spallation Source (ESS) will be used
Direct-to-Device (D2D) communication in Non-Terrestrial Networks (NTNs) enables smartphones to connect directly to satellites, extending wireless coverage beyond terrestrial networks. This thesis presents the design of a smartphone antenna optimized for NTN operation, followed by a link budget analysis and Electromagnetic Field (EMF) exposure assessment. The proposed solution is a dual-band circu
OBJECTIVE: Avacopan (AVAC), an oral selective C5a receptor inhibitor, has been approved for treatment in anti-neutrophil cytoplasmic antibody (ANCA)-associated vasculitis (AAV). Outside randomized controlled studies, real-world data are scarce. The aim of this study was to provide further insight into the clinical experience of AVAC.METHOD: We analysed data from 16 patients with severe AAV include
Accurate mapping of earthquake-damaged buildings is essential for rapid post-disaster assessment and urban recovery planning. Very high-resolution (VHR) satellite imagery enables large-scale geospatial damage detection; however, conventional convolutional neural networks (CNNs) often struggle to model complex spatial dependencies and nonlinear damage patterns efficiently. To address these limitati
The Sendai Framework for Disaster Risk Reduction (2015–2030) promotes shared responsibility as a foundational principle for effective disaster governance, emphasizing the involvement of states, communities, private actors, and civil society. However, the principle faces criticism for its conceptual vagueness and practical limitations. This paper develops and applies a structured four-dimensional f
Summary: Existing approaches to modelling antibody concentration data are mostly based on finite mixture models that rely on the assumption that individuals can be divided into 2 distinct groups: seronegative and seropositive. Here, we challenge this dichotomous modelling assumption and propose a latent variable modelling framework in which the immune status of each individual is represented along
Previous research underscores the importance of addressing biodiversity loss within environmental justice, introducing the concept of multi-species justice (MSJ) to recognise the rights and agency of non-human species. Despite its theoretical foundation, practical applications of MSJ remain underexplored. This paper contributes to operationalising MSJ in climate adaptation by exploring barriers to
