Atrial fibrillation in human patients is associated with increased collagen type V and TGFbeta1.

Background And Aim: Atrial fibrosis is an important factor in initiating and maintaining atrial fibrillation (AF). Collagen V belongs to fibrillar collagens. There are, however no data on collagen V in AF.

Coronary microthrombi in the failing human heart: the role of von Willebrand factor and PECAM-1.

The recognition of microthrombi in the heart microcirculation has recently emerged from studies in COVID-19 decedents. The present study investigated the ultrastructure of coronary microthrombi in heart failure (HF) due to cardiomyopathies that are unrelated to COVID-19 infection. In addition, we have investigated the role of von Willebrand factor (VWF) and PECAM-1 in microthrombus formation.

A multimodal dataset for electric guitar playing technique recognition.

Automatically detecting the playing styles of musical instruments could assist in the development of intelligent software for music coaching and training. However, the respective methodologies are still at an early stage, and there are limitations in the playing techniques that can be identified. This is partly due to the limited availability of complete and real-world datasets of instrument playing styles that are mandatory to develop and train robust machine learning models.

Association of plasma propionate concentration with coronary artery disease in a large cross-sectional study.

Background: Microbiome has been linked to the pathogenesis of coronary artery disease (CAD) but data providing direct evidence for an association of short-chain fatty acids (SCFA) with CAD are lacking. This study aimed to evaluate the role of propionate, the most important SCFA in patients with CAD.

Methods: We performed a cross-sectional study enrolling patients admitted for invasive coronary angiography in two university hospitals in Germany.

Detecting the sources of chemicals in the Black Sea using non-target screening and deep learning convolutional neural networks.

The Black Sea is an important ecosystem, which is affected by various anthropogenic pressures, such as shipping activities and wastewater inputs from large coastal cities. Significant loads of chemical pollutants are being continuously brought in by major European rivers. This study investigated the spatial distribution of chemicals in the Ukrainian shelf (the northwestern part of the Black Sea) and their main sources.

Recognizing Emotional States Using Speech Information.

Emotion recognition plays an important role in several applications, such as human computer interaction and understanding affective state of users in certain tasks, e.g., within a learning process, monitoring of elderly, interactive entertainment etc.

pyAudioAnalysis: An Open-Source Python Library for Audio Signal Analysis.

Audio information plays a rather important role in the increasing digital content that is available today, resulting in a need for methodologies that automatically analyze such content: audio event recognition for home automations and surveillance systems, speech recognition, music information retrieval, multimodal analysis (e.g. audio-visual analysis of online videos for content-based recommendation), etc.