Data-driven fault diagnosis plays a key role in stability and reliability of operations in modern industries. Recently, deep learning has achieved remarkable performance in fault classification tasks.

Electrochemical impedance spectroscopy (EIS), serving as an invasive yet insightful diagnostic method, unveils a trove of status information and has been utilized in data-driven state classification.

Convincing new evidence suggests that mild hypothermia prevents intracranial hypertension and its complications in patients with acute liver failure. This Viewpoint examines available data for the ...