Background Patients with severe aortic stenosis (AS) are at high risk of mortality, regardless of symptom status. Despite ...

OpenASCE (Open All-Scale Casual Engine) is a comprehensive, easy-to-use, and efficient end-to-end large-scale causal learning system. It provides causal discovery, causal effect estimation, and ...

Abstract: This letter aims to provide a general methodology for addressing forward error correction (FEC) issues in protocols. Taking the estimation of frame padding ...