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Electrochemical reactions like water-splitting or corrosion initiate at electrode-electrolyte interface, and in some cases can also be closely linked. In particular, the oxygen evolution reaction (OER) in electrolyzers and the oxygen reduction reaction (ORR) in fuel cells are not only sluggish but can also lead to severe catalyst degradation. A fundamental understanding of these processes is there

An abdominal aortic aneurysm (AAA) is defined as aortic diameter ≥30 mm measured by ultrasound. AAA prevalence increases with age and is higher in men, but has decreased during the last decades, related to lower smoking rates. Tobacco smoking, concomitant atherosclerosis, arterial hypertension, and family history are the most common risk factors. AAA has atherosclerotic, inflammatory, apoptotic, a

Combinatorial optimization is a powerful way to solve complex problems, like planning, scheduling, or hardware verification, by expressing the problem in a mathematical form using discrete variables that can be solved by general solvers. Due to major advances in algorithms for solving combinatorial optimization problems, these solvers can tackle real-world challenges efficiently. However, as solve

Background: Scintigraphy of the renal cortex with technetium-99m labelled dimercaptosuccinic acid (99mTc-DMSA) is well established in the follow-up of pyelonephritis in children. This method allows detection of focal defects of renal function, as well as measurement of the relative contribution of each kidney to total renal function - split renal function (SRF). Within nuclear medicine, the long t

Background Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental condition influenced by both genetic and environmental factors. Prenatal and perinatal exposures have been implicated in ASD etiology, but their influence may vary across clinical subgroups, including subgroups defined by co-occurring intellectual disability (ID). Methods We conducted a population-based case–control st

Throughout the past decade, neural network-based vision has been increasingly integrated into robots. It is well-known, however, that neural networks can be unreliable, especially when faced with inputs that differ from their training data. With the goal of making neural network-based vision more reliable for robotic applications, this thesis explores uncertainty estimation, and adaptability.Adapt

This paper studies cone-preserving linear discrete-time switched systems whose switching is governed by an automaton. For this general system class, we present performance analysis conditions for a broadly usable performance measure. In doing so, we generalize several known results for performance and stability analysis for switched and positive switched systems, providing a unifying perspective.

Despite substantial progress in Remote Sensing (RS)-based estimation of Water Quality Parameters (WQPs) using Machine Learning (ML) models, there remains a lack of end-to-end software that automates the entire workflow. To address this gap, this paper introduces WQEye (v1), an open-source software offering a user-friendly interface comprising six modular components: (1) Data loader; (2) RS samplin

This thesis contributes to the development of the proposed NNBAR experiment at theEuropean Spallation Source (ESS), which aims to search for free neutron-antineutron oscillations with unprecedented experimental sensitivity. Achieving this goal requires both an intense beam of cold neutrons and a detector capable of reconstructing the pionic final state expected from antineutron annihilation on a c

The development of an N-body/hydrodynamic ‘surrogate’ model of the Milky Way (MW) – a model that resembles the MW in several key aspects after many Gyrs of evolution – would be extremely beneficial for Galactic Archaeology. Here, we present four new ‘surrogate’ models, all built with the nexus framework. The simulations contain stars, dark matter and gas. Our most sophisticated model allows gas to

Background: The prevalence of urinary incontinence (UI) and fecal incontinence (FI) are conditions that increase with age. Apart from few larger studies data on prevalence and severity of UI and FI is scarce, especially among the > 80 yrs. and data of birth cohort effects is lacking. Methods: The purpose of this study was to evaluate birth cohort effects on prevalence of UI and FI in the general o

In 2021, neutron structures of oxidised and reduced human manganese superoxide dismutase were published, suggesting several unexpected features, including deprotonated glutamate, tyrosine and histidine residues and a reduced Mn ion with two hydroxide ligands. We have used quantum refinement to evaluate whether alternative interpretations of the structures are possible, comparing many structural mo

This chapter explores the intricate dynamics of transnational Shia networks and their relationship with Iran, focusing on the latter's aspiration to dominate global Shiism and the resistance it faces. It analyzes the transnational character of Shia clerical networks, which have been pivotal in political and communal mobilization since the 1950s, particularly in Iraq. Post-1979, Iran leveraged thes

Climate litigation has been on the rise since the beginning of the century. However, the increased use of intersectionality by plaintiffs to highlight their particular vulnerability to climate change and its impacts remains understudied. This paper provides a review of eleven intersectional climate litigation cases, along with insights from a focus group of key informants, to examine the role of i

Hybrid energy systems have become a promising strategy for enhancing power utilization efficiency while preserving ecology. Previous research has predominantly focused on developing models with fixed ecological constraints. However, the fixed ecological constraints overlook dynamic ecological uncertainty and its interaction with operation decisions. This study proposes adaptive operating rules for

This study applies a cost-benefit analysis methodology to evaluate the socio-economic profitability of emergency phones and portable fire extinguishers for fires in Swedish road tunnels. The benefits of each component were determined through a qualitative assessment of emergency phones and a quantitative analysis of portable fire extinguishers. The findings indicate that emergency telephones are l

A second order expansion of the eigenvalues of a parameter perturbation of Hermitian matrices is derived using matrix decomposition methods. The method developed is then applied to give a novel proof of a second order approximation of the eigenvalues of a global perturbation of Hermitian matrices first described by M. Carlsson. The result generalizes an approximation given by G.W Stewart which tre