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The Richer the Better? SES Inequalities In Cause-Specific Adult Mortality In a Long-Term Perspective: Evidence from Sweden 1813-2014

Higher socioeconomic status (SES) is associated with lower mortality. This has been confirmedusing different indicators across several geographical settings. Nevertheless, the mechanismsbehind this association are still under debate. In particular, the timing of the emergence of theSES gradient remains an open question. In this paper, we study the development of SESinequalities in cause-specific m

Vehicular Wireless Positioning – A Survey

The rapid advancement of connected and autonomous vehicles has driven a growing demand for precise and reliable positioning systems capable of operating in complex environments. Meeting these demands requires an integrated approach that combines multiple positioning technologies, including wireless-based systems, perception-based technologies, and motion-based sensors. This paper presents a compre

Platinum surface oxides govern the cathodic overpotential of the oxygen reduction reaction

The oxygen reduction reaction (ORR) on platinum is limited by a substantial overpotential, which hampers the efficiency of fuel cell technologies. While adsorbate binding energies have been widely used to explain ORR kinetics, we here illustrate a more complex role of platinum surface oxides, which are often ambiguously defined in the literature. We use operando total reflection X-ray absorption f

Following the Electrochemical Oxidation of Au(111) in Real-Time Using Surface Optical Reflectance and Total-Reflection X-Ray Absorption Spectroscopy

Under electrochemical polarization, many electrocatalysts can undergo oxidation that alters their reactivity and can lead to restructuring and dissolution. In this context, the structure-property relationships of electrocatalysts, as well as their kinetics and dynamic behaviour, are still poorly understood. This knowledge gap mainly relies on the limitations of many traditional spectroscopic and s

Color and attribute micromaps

The hardware accelerated ray-tracing pipeline presents many opportunities to implement more advanced rendering algorithms than earlier rasterization based approaches. However, one particular aspect of the pipeline still remains a bit too costly to use in practice: The AnyHit-shader. Opacity Micromaps were introduced to alleviate this issue, but the central problem of calling arbitrary shader code

Towards calibration robust: : 6DoF multi-horizon head motion prediction for EdgeXR

Accurately predicting head motion is essential for reducing motion-to-photon (MTP) latency in XR systems. However, standard evaluation practices often conflate true prediction error with residual calibration artifacts-such as global rotation bias, lever-arm offsets, or sub-frame time skews-even after alignment. These small but realistic miscalibrations can dominate reported errors and obscure the

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Om Sandra Hardings vitenskapskritiske arbeid, og hvordan dette arbeidet henger sammen med grunnforutsetninger for tredjegenerasjons forskningspolitikk.javascript:void(0);

Surface chemistry of model electrodes under electrocatalytic conditions : Developing Total Reflection X-ray Absorption Spectroscopy for operando studies

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

Medical Aspects of Abdominal Aortic Aneurysm

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

Certifying Combinatorial Optimization : A Unified Approach Using Pseudo-Boolean Reasoning

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

Functional imaging of the renal cortex with 18F-PSMA-1007 PET

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

Perinatal and maternal factors associated with Autism Spectrum Disorder

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

Uncertainty estimation for adaptable and reliable robotic vision

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

Performance analysis for cone-preserving switched systems with constrained switching

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.

WQEye (v1) : A Python-based software for machine learning-based retrieval of water quality parameters from Sentinel-2 and Landsat-8/9 remote sensing data aided by Google Earth Engine

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

Development of the NNBAR Experiment at the ESS : Design of the Second Neutron Source and Towards the Realisation of Time Projection Chamber

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