Association Between History of Rhythm Control Therapy and Clinical Outcomes in Atrial Fibrillation Patients With Stable Coronary Artery Disease: A Sub-Analysis of the AFIRE Trial. [PDF]
Wakatsuki D +13 more
europepmc +1 more source
Conserved and Divergent Rhythms of Crassulacean Acid Metabolism-Related and Core Clock Gene Expression in the Cactus Opuntia ficus-indica [PDF]
Izaskun Mallona +2 more
openalex +1 more source
Robust Dysarthric Speech Recognition with GAN Enhancement and LLM Correction
This study tackles dysarthric speech recognition by combining generative adversarial network (GAN)‐generated synthetic data with large language model (LLM)‐based error correction. The approach integrates three key elements: an improved CycleGAN to generate synthetic dysarthric speech for data augmentation, a multimodal automatic speech recognition core
Yibo He +3 more
wiley +1 more source
Striatal M<sub>4</sub> muscarinic receptors determine the biological rhythm of activity, with a supportive role of M<sub>1</sub> muscarinic receptors. [PDF]
Janisova K +3 more
europepmc +1 more source
IA Channels Encoded by Kv1.4 and Kv4.2 Regulate Neuronal Firing in the Suprachiasmatic Nucleus and Circadian Rhythms in Locomotor Activity [PDF]
Daniel Granados‐Fuentes +4 more
openalex +1 more source
Mimicking Life: Autonomous Oscillating Artificial Cilia Driven by Chemical Power
The synthesis and motion analysis of chemically actuated, individually autonomous artificial cilia are presented. Driven by an internal chemical reaction, the self‐driven individual cilia require no external stimuli. They undergo periodic oscillatory motion with a 3D beat pattern and exhibit chemotactic shifts, reminiscent of biological systems.
Rajata Suvra Chakrovorty +2 more
wiley +1 more source
Association of Circadian Rhythms With the Risk of Chronic Liver Disease: Findings From a Large Prospective Study. [PDF]
Yang R +11 more
europepmc +1 more source
David Pritchett +9 more
openalex +1 more source
Bio‐to‐Robot Transfer of Fish Sensorimotor Dynamics via Interpretable Model
This study demonstrates how a biologically interpretable model trained on real‐fish muscle activity can accurately predict the motion of a robotic fish. By linking real‐fish sensorimotor dynamics with robotic fish, the work offers a transparent, data‐efficient framework for transferring biological intelligence to bioinspired robotic systems.
Waqar Hussain Afridi +6 more
wiley +1 more source

