Motivation: Network inference algorithms are powerful computational tools for identifying
putative causal interactions among variables from observational data. Bayesian network …

Objectives : This study sought to identify the incidence and outcome related to inappropriate
implantable cardioverter-defibrillator (ICD) shocks, that is, those for nonventricular …

Background— This study aimed to determine whether QRS morphology identifies patients
who benefit from cardiac resynchronization therapy with a defibrillator (CRT-D) and whether it …

This work demonstrated that ultrasmall gold nanoparticles (AuNPs) smaller than 10 nm display
unique advantages over nanoparticles larger than 10 nm in terms of localization to, and …

Background Pulmonary-vein isolation is increasingly being used to treat atrial fibrillation in
patients with heart failure. Methods In this prospective, multicenter clinical trial, we randomly …

Advances in nanotechnology have opened up a new era of diagnosis, prevention and
treatment of diseases and traumatic injuries. Nanomaterials, including those with potential for …

Nowadays, low‐frequency electromagnetic interference (<2.0 GHz) remains a key core
issue that plagues the effective attenuation performance of conventional absorption devices …

As a genetic experiment of nature, Williams syndrome (WS) is expressed on multiple
biological levels. Ultimately, WS presents an unusual neurobehavioral profile, affording the …

A bioinspired microhairy sensor is developed to enable ultraconformability on nonflat
surfaces and significant enhancement in the signal-to-noise ratio of the retrieved signals. The …

Background— Cardiotoxicity is a leading cause for drug attrition during pharmaceutical
development and has resulted in numerous preventable patient deaths. Incidents of adverse …