Publications by authors named "H Wo"
Introduction: Eleclazine is a highly selective late sodium current inhibitor, possibly effective in reducing ventricular fibrillation (VF) in heart failure (HF) with ischemia-reperfusion (IR) injury. The electrophysiological effects of eleclazine at therapeutic hypothermia (TH) are unknown. We investigated the effects of eleclazine in suppressing VF in failing rabbit hearts with IR injury undergoing TH.
View Article and Find Full Text PDFUnraveling the origin of Kondo-like behavior in the 3-electron heavy-fermion compound YFeGe.
Proc Natl Acad Sci U S A
September 2024
The heavy fermion (HF) state of [Formula: see text]-electron systems is of great current interest since it exhibits various exotic phases and phenomena that are reminiscent of the Kondo effect in [Formula: see text]-electron HF systems. Here, we present a combined infrared spectroscopy and first-principles band structure calculation study of the [Formula: see text]-electron HF compound YFe[Formula: see text]Ge[Formula: see text]. The infrared response exhibits several charge-dynamical hallmarks of HF and a corresponding scaling behavior that resemble those of the [Formula: see text]-electron HF systems.
View Article and Find Full Text PDFThe pursuit of discovering new high-temperature superconductors that diverge from the copper-based model has profound implications for explaining mechanisms behind superconductivity and may also enable new applications. Here our investigation shows that the application of pressure effectively suppresses the spin-charge order in trilayer nickelate LaNiO single crystals, leading to the emergence of superconductivity with a maximum critical temperature (T) of around 30 K at 69.0 GPa.
View Article and Find Full Text PDFBackground: The VICTORIA trial demonstrated a significant decrease in cardiovascular events through vericiguat therapy. This study aimed to assess the potential mechanisms responsible for the reduction of cardiovascular events with vericiguat therapy in a rabbit model of myocardial infarction (MI).
Methods: A chronic MI rabbit model was created through coronary artery ligation.
Article Synopsis
- The study investigates how AI-enabled electrocardiography models can identify left atrial enlargement (LAE) using both P-wave analysis and single-lead ECGs in patients with sinus rhythm and non-sinus rhythm.
- It analyzes data from over 382,000 patients, comparing the effectiveness of these AI models to traditional echocardiography in diagnosing LAE.
- Results indicate that AI ECG models are better at predicting future cardiovascular diseases linked to severe LAE than echocardiography, with P-waves being crucial for accurate identification.