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INTRODUCTION: Amyloid-induced tauopathy drives clinical decline in Alzheimer's disease (AD). Because age and sex shape tau trajectories, defining patient-centered amyloid thresholds for tauopathy onset could facilitate pre-tauopathy AD identification and aid treatment decisions and prognosis. METHODS: By including two samples (Alzheimer's Disease Neuroimaging Initiative [ADNI, n = 301]; and 18F-AV
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
The production of fast pyrolysis bio-oil (FPBO) from secondary biomass is a promising technique for the production of liquid biofuels. However, the resulting FPBO is often viscous and chemically unstable, requiring significant upgrading while also being difficult to work with. To overcome this issue, FPBO can be hydrotreated using slurry hydrotreatment, which has a long history as a processing tec
Public procurement has the potential to serve as a strategic driver for circular economy implementation and urban sustainability transitions. Purpose: This study explores how municipalities incorporate circular requirements into construction project procurement processes. The aim is to identify practical strategies that support circular implementation in construction projects. Methodology: U
This study explores the effectiveness of combining Electrical Resistivity Tomography (ERT) and Induced Polarization (IP) for identifying internal erosion processes in embankment dams. A small-scale test dam was built in Älvkarleby, Sweden, with deliberately embedded but undisclosed defects to test monitoring capabilities. Daily ERT and IP measurements were collected during 4.5-year years, and anal
This paper presents a two-phase heuristic methodology aimed at the reconfiguration of a radial distribution network with the objective of minimizing the computational time. In the preliminary phase of the operation, all network switches are in a closed state, and it is proposed that a subsequent switch opening methodology be employed to achieve a configuration that approximates optimal radial char
Populärvetenskaplig sammanfattning: Kvävekoncentrationen i den gröna biomassan hos vegetation är involverad i många olika biokemiska processer i det terrestra ekosystemet. Till exempel så påverkar den fotosyntesen, förmultning och evaportanspirationen, för att nämna några. Därför är den också ofta en av grundparametrarna och drivkraften i olika ekosystem-modeller. Att mäta kvävehalten hos blad/barNitrogen in the green biomass of vegetation plays an important role in many biochemical processes in the terrestrial ecosystems, and often used as an input parameter to ecosystem models. It strongly influences photosynthetic rate, decomposition, and evaportanspiration, to name a few. Measuring nitrogen in field involves a lot of time and money, and it would be valuable if this part of the data col
Deforestation is one of the most significant environmental challenges, with close links to global issues such as biodiversity loss and climate change. The European Union Deforestation-free Products Regulation (EUDR) introduces rigorous due diligence obligations for companies placing forest-risk commodities and derived products on the European market, intending to halt global deforestation. Despite
Cell type deconvolution - the computational estimation of cellular composition in bulk tissue samples - is a valuable tool in cancer research for understanding immune infiltration and tissue heterogeneity. Most deconvolution algorithms infer the composition of cell types in bulk samples by modeling the observed expression data as a linear combination of reference expression profiles from each cell
Household expenditure patterns in Ukraine were explored with a focus on clustering techniques to uncover socioeconomic insights and inform policy interventions. Using an officially published Household Income Survey dataset for 2021, the research applies advanced machine learning models, including k-means, DBSCAN, and PCA, to analyze spending habits and identify household profiles with distinct exp
This thesis critically examines the Swedish ‘Security Zones’ legislation, the associated governmental discourse on organised criminality, and their implications for equality and racial justice. Through a critical discourse analysis, the thesis illustrates how the extended discretion afforded through the legislation facilitates law enforcement’s capacity for racial profiling and discrimination. It
Problem Statement: Sandvik Rock Processing is in the need for a classification tool, which can help them improve their inventory management. Currently, there are problems with inefficiencies with deficit as well as excess in inventory. The new classification shall the basis for the differentiation of service levels and facilitate a shared view on items’ importance. Purpose: The purpose of this th
This thesis explores the visual and cultural representation of worldbuilding in fantasy genre video game trailers. The focus is to find out to what extent video game trailers in the fantasy genre utilise visual tropes and cultural representations to establish an identity as fantasy video games. It is well established that game developers look for inspiration in the real world when creating new one
The availability of compensatory collective redress for GDPR violations remains an unresolved question. The issue has gained increasing importance as data protection infringements frequently affect large numbers of individuals, while existing enforcement mechanisms often fail to address such harms. This study analyses the scope of compensatory collective redress under Article 80 GDPR and the Repre
Calculation of the climate impact of buildings is becoming increasingly prevalent. In this context, understanding the comprehensive environmental impact of buildings, including fire risk, is crucial. This study investigates a method to incorporate the impact of fire risk on the climate footprint of buildings using Life Cycle Analysis (LCA). The paper focuses on several building types: single-famil
As the first domestic species, dogs likely dispersed with different cultural groups during the Late Pleistocene and Holocene. To test this hypothesis, we analyzed 73 ancient dog genomes, including 17 newly sequenced individuals sampled from East Asia to the West Eurasian Steppe spanning nearly 10,000 years. Our results indicate correlations between the ancestry of dogs and specific ancient human p
Wind generation’s growing share of Nordic electricity supply has made imbalance settlement an increasingly costly exposure for producers. Under the Nordic single-price mechanism, all residual imbalance is settled at a single imbalance price, regardless of direction, determined by the mFRR activation market. Before that price is known, the producer fixes a day-ahead position, adjusts on the continu
