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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
Introduction: Oesophageal resection carries significant morbidity and mortality. Artificial intelligence (AI) advances in medical research enable enhanced predictions, flexibility, and interpretability, especially for complex interactions and nonlinear relationships. Material and methods: We used a register-based case-control design nested within prospectively collected data from the Swedish Natio
Cu-based ternary catalysts often outperform their binary counterparts in the hydrogenation of CO2 to methanol. Unraveling the underlying synergistic effects among multiple components remains challenging and requires comprehensive operando characterization. In this study, we present a detailed investigation into the synergistic Cu−Zn−Zr interactions in inverse ZnZrOx/Cu catalysts, which show strong
The construction industry is a major contributor to resource consumption and waste generation in the EU, making the transition to circular construction essential. Reuse of building products is an important circular strategy, but large-scale implementation is hindered by limited market maturity and uncertainty regarding product availability. This study aims to investigate the gap between reported a
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
Blood biomarkers have the potential to revolutionize Alzheimer's disease diagnosis, offering advantages over CSF and PET due to their accessibility, scalability and cost-effectiveness. This study evaluated the effectiveness of individual plasma biomarkers, such as phosphorylated Tau (pTau) 217, as well as biomarker combinations, with a focus on the pTau 217/β-Amyloid (Aβ) 1–42 ratio to predict amy
PurposeIn the transformation to the circular economy, circular logistics nodes are becoming increasingly important to, for example, match supply and demand, coordinate flows, increase logistics efficiency and customer utility, and reduce environmental impact. The purpose of this study is to expand our theoretical understanding of the circular retail transformation and its implications for circular
This research was conducted to determine which areas in the Robat Turk watershed in Iran are sensitive to gully erosion, and to define the relationship between gully erosion and geo-environmental factors by two data mining techniques, namely, Random Forest (RF) and k-Nearest Neighbors (KNN). First, 242 gully locations we determined in field surveys and mapped in ArcGIS software. Then, twelve gully
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
BACKGROUND: Medium vessel occlusions (MeVO) can be either isolated events (primary), or secondary to thrombus migration from a large vessel occlusion to a medium-sized vessel. Outcomes following endovascular thrombectomy (EVT) in the middle cerebral artery (MCA) may differ between primary and secondary MeVOs. This study aimed to assess the association between primary/secondary MeVOs and clinical o
Background: Recurrent coarctation of the aorta (re-CoA) is a well-known although not fully understood complication after surgical repair, typically occurring in 10%–20% of cases within months after discharge. Objectives: To (1) characterize geometry of the aortic arch and blood flow from pre-discharge magnetic resonance imaging (MRI) in neonates after CoA repair; and (2) compare these measures bet
One of the main challenges as the market for fully commercial electrified vehicles quickly expands is predicting the electromagnetic interference (EMI) in traction voltage systems (TVSs) in differential mode (DM) and common mode (CM). The number of subsystems connected to vehicle TVSs is increasing, and thus, so are the electromagnetic compatibility (EMC) requirements. These requirements should ma
AI cancer detection models require calibration to attain the desired balance between cancer detection rate (CDR) and false positive rate. In this study, we simulate the impact of six types of mismatches between the calibration population and the clinical target population, by creating purposefully non-representative datasets to calibrate AI for clinical settings. Mismatching the acquisition year b
In this paper we show that OpenAI’s Large Language Model (LLM) GPT perform remarkably well when used for title and abstract eligibility screening of scientific articles and within a (systematic) literature review workflow. We evaluated GPT on screening data from a systematic review study on electric vehicle charging infrastructure demand with almost 12,000 records using the same eligibility criter
Global policies, legislation, and eco-friendly initiatives have induced the steel industry to integrate sustainable development approaches. Sustainability requires all phases from raw material sourcing to transportation to waste and carbon footprint elimination—yielding positive effects. This research employs a two-step approach in sustainability. The first phase entails conducting a systematic li
The delay between the origin of animals in the Neoproterozoic and their Cambrian diversification remains perplexing. Animal diversification mirrors an expansion in marine shelf area under a greenhouse climate, though the extent to which these environmental conditions directly influenced physiology and early organismal ecology remains unclear. Here, we use a biogeochemical model to quantify oxygen
Background Suicide attempts are common in youth and have potentially lethal outcomes. Effective treatments targeting suicide attempts are scarce. Objective To assess the feasibility and preliminary efficacy of a family-based cognitive behavioural treatment relative to an active control for youth with suicidal behaviour. Methods 30 youths (93% female; mean (SD) age=14.6 (1.5) years) residing in Swe
