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Endocrine disrupting compounds (EDC) have the potential to seriously impact ecosystems and humans. To date, numerous techniques have been investigated for removing such contaminants from water, including biodegradation, photocatalysis, ozonation, and the Fenton process. However, these methods are expensive from the perspectives of equipment and operating costs. Herein, we investigated the use of e
Biomass residues are often considered key in a reorientation towards circular bioeconomies, both by returning organic matter and nutrients to soils and by expanding the feedstock base for fossil-free products. Different indicators are available to assess progress towards circularity, but many available indicators and assessments seem to focus on product or material circularity, and lack in coverag
The open-source parameter identification tool ADAPT (A diversely applicable parameter identification Tool) is integrated with a machine learning-based approach for start value prediction in order to calibrate a Gurson–Tvergaard–Needleman (GTN) and a Lemaitre damage model. As representative example case-hardened steel 16MnCrS5 is elaborated. An artificial neural network (ANN) is initially trained b
The identification of susceptible dust sources (SDSs) based on the analysis of effective factors (i.e. dust drivers) is considered to be one of the primary and cost-effective solutions to deal with this phenomenon. Accordingly, this study aimed to identify SDSs and delineate their drivers using remote sensing data and machine learning (ML) algorithms in a hotspot area in the Lower Mesopotamian flo
This article develops Border Work (BW) as a theoretical concept and methodological approach, underexplored in socio-legal scholar-activism, through analysing two distinct examples: Noor, who applied for protection, and her individual and collective struggle for residency and the making of a manifesto against borders. While both examples depart from feminist methodology, the differences are stark:
In this paper, we investigate a Multi-layer Aerial system for GenAI inference at the Edge (MAGE). Therein, ground user equipments (UEs) request image synthesis services from a remote base station (BS) that leverages the Latent Diffusion Model (LDM) for image generation. Multiple Unmanned Aerial Vehicles (UAVs) are deployed to serve the UEs for relaying their images and prompts to the BS. To reduce
FUTURE GEOGRAPHIES PhD course within the Swedish National Program for Research Education in Human Geography Autumn semester 2021 Course convenor: Erik Jönsson, Department of Social and Economic Geography, Uppsala University Erik.jonsson@kultgeog.uu.se Course period: Oct-Nov 2021. Credits: 7,5 ECTS Application deadline and maximum course size: Interested PhD Students must apply via e-mail to Erik J
https://www.keg.lu.se/sites/keg.lu.se/files/future_geographies_phd_course_2021.pdf - 2026-07-19
High energy use for space conditioning in residential buildings is a significant economic factor for owners and tenants, but also contributes to resource depletion and carbon emissions due to energy generation. Many existing dwellings should thus be retrofitted in order to fulfil the ambitious EU carbon emission mitigation goals by 2050. To investigate how future climate resilience can be implemen
Low temperature combustion (LTC) of high-octane number fuels in compression ignition engines offers an opportunity to simultaneously achieve high engine thermal efficiency and low emissions of NOx and particulate matter without using expensive after-treatment technologies. LTC engines are known to be sensitive to the operation conditions and combustor geometry. It is important to understand the fu
Large multiobject spectroscopic surveys require automated algorithms to optimize their observing strategy. One of the most ambitious upcoming spectroscopic surveys is the 4MOST survey. The 4MOST survey facility is a fibre-fed spectroscopic instrument on the VISTA telescope with a large enough field of view to survey a large fraction of the southern sky within a few years. Several Galactic and extr
B cells are thought to play a central role in the pathogenesis of antineutrophil cytoplasmic antibody- (ANCA-) associated vasculitis (AAV). ANCAs have been proposed to cause vasculitis by activating primed neutrophils to damage small blood vessels. We studied a cohort of AAV patients of which a majority were in remission and diagnosed with granulomatosis with polyangiitis (GPA). Using flow cytomet
Exploring the human-environment nexus and linkages between (post-conflict) political developments and environmental dimensions, this paper reflects on the development of interdisciplinary theories of environmental peacebuilding. Theories of environmental peacebuilding come from a variety of different disciplines within the social and biophysical sciences; warfare ecology (Machlis et al. , 2011), e
Background: There is limited knowledge about the perspective of patients undergoing allogeneic haematopoietic stem cell transplantation (HSCT) about having a sibling as donor. It is essential to understand the main concerns of stem cell recipients in order to enable nurses to provide person-centred care. Objectives: The study aim was to explore patients’ main concerns about having a sibling stem c
III-V semiconductor nanowires have attracted extensive research interests over the past few decades due to their unique geometry and great potential for promoting new functionalities in future electronics, light-emitting diodes and solar cells. However, in order to push this technology beyond the laboratory level, it is essential to combine it with the current Si-based semiconductor industry for a
Software Engineering activities are information intensive. Research proposes Information Retrieval (IR) techniques to support engineers in their daily tasks, such as establishing and maintaining traceability links, fault identification, and software maintenance. We describe an engineering task, test case selection, and illustrate our problem analysis and solution discovery process. The objective o
The molecular weight distribution and the viscosity of water-soluble polysaccharides isolated from carrots were investigated after different types of heat-treatment, commonly used when preparing food. The materials studied were blanched, boiled, microwaved and canned. Freezing, without any heat-treatment, was used as a reference process. The water soluble polysaccharides were isolated using two di
Digital volume correlation analysis of time-resolved X-ray microtomography scans acquired during in situ triaxial compression of Green River shale cores provided time series of 3-D incremental strain fields that elucidated evolving deformation processes by quantifying microscopic strain localization. With these data, we investigated the impact of mechanical anisotropy on microscopic strain localiz
Perovskite based photovoltaic devices are popularised by the rapid increase in their efficiencies. Understanding the fundamental physics and chemistry processes occurring upon excitation is key. We monitored the temporal evolution of the population and depopulation dynamics of various electronic states in FA0.85MA0.15PbI2.55Br0.45 by means of ultrafast transient absorption spectroscopy in the visi
