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Chronic obstructive pulmonary disease (COPD) and asthma are heterogeneous respiratory diseases with overlapping symptoms but distinct underlying biology. As both diseases involve dysregulated inflammatory signalling, identifying disease- and compartment-specific pathways and biomarkers could improve diagnosis and treatment. A disintegrin and metalloproteinase 17 (ADAM17) is a key sheddase that inf
Background and purpose: Stereotactic radiosurgery (SRS) requires high positional accuracy to safely deliver large doses. This study evaluated an integrated surface- and image-guided radiotherapy (SGRT-IGRT) system by analysing (1) the agreement between thermo-optical and stereoscopic X-ray positioning, and (2) the impact of intra-fractional workflows on treatment accuracy and time. Materials and m
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
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
This study focuses on the chromatographic analysis of neonicotinoid pesticides in bumblebee samples. Analyzing these residues presents significant challenges due to the complex biological matrix and the critical need for high detectability to meet regulatory limits. Furthermore, many conventional chromatographic methods are often time-consuming and rely on substantial volumes of hazardous organic
Far beyond its innocence, children and child welfare initiatives have emerged as powerful symbols in Indonesian political campaigns. This research focuses on Joko Widodo and Prabowo Subianto, showing how their use of initiatives like Smart Card and Free Lunch Program projected legitimacy and garnered votes during the 2014, 2019, and 2024 elections. It uses two main methods: reflexive thematic anal
Germanys transition to high shares of variable renewable energy (VRE) is increasingly ex-posing flaws in the country’s current electricity market design, particularly in its contin-ued use of nationally uniform wholesale pricing. This thesis investigates whether nodal pricing, where electricity prices vary locationally to reflect physical system conditions, can improve market efficiency and suppor
Steam and water chemistry is fundamental for most power generation on indus trial scale. This includes the dosing of chemicals, the monitoring of both water and steam, as well as understanding the underlying causes to diagnose eventual problems. Öresundsverket, which was designed for seasonal operation, now has to perform multiple starts per year and in meeting these demands there is a possi bilit
This thesis examines how autonomous buses are interpreted and evaluated as a potential mobility solution within a multi-level planning context involving both municipal and regional perspectives. While autonomous vehicles are often framed as a key component of future sustainable transport systems, their implementation depends not only on technological development but also on social acceptance, inst
Artificial intelligence (AI) is playing an expanding role in infectious disease surveillance and intervention planning by enabling analysis of large-scale health data. One of the key challenges in this area is to characterize transmission within households and to identify factors that influence both infectivity and susceptibility. The present study focuses on the COVID-19 pandemic, which not only
