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AIMS: Diagnosing heart failure with preserved ejection fraction (HFpEF) remains challenging, particularly in older individuals. We hypothesized that machine learning (ML) approaches could improve diagnostic accuracy compared with HFpEF scores.METHODS: We evaluated the diagnostic performance of four supervised ML algorithms (random forest [RF], extreme gradient boosting [XGBoost], support vector ma
We explore mission assignment and task offloading in Open Radio Access Network (Open RAN)-enabled intelligent transportation systems (ITS), where autonomous vehicles utilize mobile edge computing for efficient processing. Existing studies often overlook mission dependencies and offloading costs, leading to suboptimal decisions. To address this, we formulate a novel optimization problem that integr
This paper examines whether and how Islamist violence affects educational content in secondary schools in Burkina Faso. We combine geocoded conflict-event data with nationwide school census data containing detailed information on teachers’ subject-specific teaching hours and mobility across schools. Using a staggered difference-in-differences design, we estimate the dynamic effects of violence on This paper examines whether and how Islamist violence affects educational content in secondary schools in Burkina Faso. We combine geocoded conflict-event data with nationwide school census data containing detailed information on teachers’ subject-specific teaching hours and mobility across schools. Using a staggered difference-in-differences design, we estimate the dynamic effects of violence on
The diagnostic accuracy of AIDOC-VO, the first commercial artificial intelligence tool for intracranial large-and medium-vessel occlusion (LVO/MeVO) detection on head-and-neck CT angiography (CTA), was evaluated in a multicenter emergency setting. A prospective diagnostic-accuracy study of 3,031 adult CT angiograms (mean age, 67.3 years ± 16.4 [SD]; 1,549 females) acquired March-July 2024 across a
The power systems of drilling rigs have changed considerably since the early days of steam driven machinery. This paper reviews that progression, from mechanical and diesel electric configurations through to modern hybrid and renewable integrated systems, with a focus on the power conversion technologies that enable each stage. Coverage includes the electrical architecture of drilling rig power sy
The healthcare systems of today are facing large challenges, with increasing amounts of patients and overworked hospital staff. Prostate cancer and Alzheimer’s disease are two of the most prevalent diseases, with incidence numbers expected to rise over the coming decade. Medical imaging plays a central role in current diagnostic procedures for these diseases, enabling the potential use of machine-
Background and Objectives – Limbic-predominant age-related TDP-43 encephalopathy (LATE) is characterized by an amnestic- and limbic-predominant phenotype, which can mimic Alzheimer disease (AD). In a memory clinic cohort, we tested whether clinical criteria for LATE can detect a clinical profile of LATE that is distinct from AD.Methods – In this retrospective examination of a longitudinal memory c
This paper explores the way in which the relationship between civil society and the state in times of populist governance can be understood from the point of view of Hartmut Rosa’s theory of resonance. We apply Hartmut Rosa’s (2019) theory about a resonant society to understand how the populist turn in politics and state-civil society relations is related to broader societal processes such as acce
As some insect groups are declining at alarming rates, accurate and automated insect monitoring is needed to prioritize habitats for conservation. The dual-band entomological Scheimpflug lidar technique is a promising candidate method for real-time insect monitoring: it allows the detection of thousands of flying insects per day at high temporal and spatial resolutions. The signals contain a pleth
Light extinction is widely used to study particles in sprays, soot-forming combustion, and multiphase reactive flows. However, quantitative interpretation of extinction signals remains challenging when particles have a sufficiently large scattering albedo, meaning that incident photons are scattered much more than they are absorbed. This is especially true when experiments involve large apertures
In this thesis we consider different tests for unit roots in the presence of structural change. We present the theory that lies behind unit roots, what we mean by structural change and try to detect the instances that “breaks” occur in the data. When performing a unit root test, when there is a structural change the results are biased toward accepting a unit root. Therefore, special care must be t
The body shows impressive control capabilities in terms of the speed and the precision with which movements can be carried out under a wide variety of circumstances. The cerebellum and brainstem nuclei, including the cuneate nucleus, are believed to play a crucial role in this control. If these control mechanisms can be unveiled, this could yield important insights in not only medicine and neuroph
In this paper, we investigate evidence of market discipline from contingent convertible (CoCo) issues. Previous research has focused on the monitoring aspect of market discipline, by testing risk sensitivity of market prices (subordinated notes and debentures (SND)) to accounting measures of bank risk. We take a similar approach using CoCo spreads and additionally use issue specific features. We a
The importance of the alluring goal of having the “perfect” or “true” information is more than visible in the financial world. In portfolio management financial correlation matrices measure the unsystematic correlations between assets e.g. stocks. Finding the true correlations between stocks would enable the creation of portfolios with less risk. In reality this information is more than hard to co
The aim of this study is to 1) describe the structure and types of associational and organizational networks within immigrant women’s community in southern Sweden Malmö, Lund and Eslöv, 2) examine how such networks facilitate Thai women’s well-being and integration by providing social supports and services, and 3) present how Thai women perceive the role of social and organizational networks in re
The reinforced composite industry is expanding. This raises the need for more sustainable resource use and waste management. A concept to combat both is circularity, creating a loop between the raw resources and the waste. Two important parts of circularity are recycling and reusing. This thesis presents literature studies on recycling, reuse and end-of-life methods for glass fibre-reinforced plas
