Background: Brief episodes of atrial fibrillation (AF) may evolve into longer AF episodes increasing the chances of thrombus formation, stroke, and death. Classical methods for AF detection investigate rhythm irregularity or P-wave absence in the ECG, while deep learning approaches profit from the availability of annotated ECG databases to learn discriminatory features linked to different diagnosi

The oceans are increasingly polluted with plastic debris, and several studies have implicated plastic as a reservoir for antibiotic resistance genes and a potential vector for antibiotic-resistant bacteria. Bioplastic is widely regarded as an environmentally friendly replacement to conventional petroleum-based plastic, but the effects of bioplastic pollution on marine environments remain largely u

Background: Sex differences are underappreciated in the current understanding of cardiovascular disease (CVD) in association with chronic kidney disease (CKD). A hallmark of CKD is vascular aging that is characterised, amongst others, by; systemic inflammation, microbiota disbalance, oxidative stress, and vascular calcification—features linked to atherosclerosis/arteriosclerosis development. Thus,

OBJECTIVE: To study differences in pain reports between patients with ankylosing spondylitis (AS) and nonradiographic axial spondyloarthritis (nr-axSpA), and to assess how pain sensitivity measures associate with disease and health outcomes.METHODS: Consecutive patients with axial SpA (axSpA) were enrolled in the population-based SPARTAKUS cohort (2015-2017) and classified as AS (n = 120) or nr-ax

This article will discuss the influence of scale-free networks on my 1 sonata (Sélection, 5th Dutilleux International Composition Compétition, 2003) for piano. An important feature of scale-free networks is that they are regulated by a small number of important nodes/hubs that are connected to many other sites. Following a power law distribution, research has found that a majority of nodes have on

Quantitative multi-parametric MRI measurements provide reproducible metrics of the MR properties of water to characterize brain tissue. The available parameters are determined by the acquisition protocols. These commonly utilize multiple spin-echo sequences, steady-state sequences of gradient-recalled echoes at variable flip angles or echo-planar images, besides novel non-repetitive acquisitions.

Dynamic glucose-enhanced (DGE) magnetic resonance imaging (MRI) has shown potential for tumor imaging using D-glucose as a biodegradable contrast agent. The DGE signal change is small at 3 T (around 1 and accurate detection is hampered by motion. The intravenous D-glucose injection is associated with transient side effects that can indirectly generate subject movements. In this study, the aim was

This video presents what seems to be an unreported multiphonic harmonic on the vibraphone. For the vibraphone, a common technique in contemporary literature features the isolation and production of a single harmonic (h04) in the lower octave. However, through experiments by Olaf Tzschoppe (DE) and Michael Edgerton (SE) on the vibraphone, an unreported multiphonic was found on the lowest thirteen b

Identification of medical conditions using claims data is generally conducted with algorithms based on subject-matter knowledge. However, these claims-based algorithms (CBAs) are highly dependent on the knowledge level and not necessarily optimized for target conditions. We investigated whether machine learning methods can supplement researchers' knowledge of target conditions in building CBAs. Re

Objectives: Previous research suggests that governments usually gain support during crises such as the Covid-19. However, these findings are based on rating scales that only allow us to measure the strength of this support. This article proposes a new measure of how voters evaluate Prime Ministers (PM) by asking for descriptive keywords that are analyzed by natural language processing.Methods: By