The authors present a case of thrombosis on the St.Jude Medical 19 aortic valve prosthesis.The diagnosis was confirmed by transthoracic and transoesofageal echocardiography, cardiac fluoroscopy Cleaning Gloves revealed restricted movement of the aortic valve prosthesis leaflet.Thrombolytic therapy was complicated with brain embolism that was succes

To address the problem that the traditional human motion attitude detection process is easy to ignore the data calibration, which leads to the problems of long running time, low accuracy and poor detection effect, a human motion target attitude detection algorithm based on semi-supervised learning in the Internet of things environment is proposed.F

Machine learning has been leveraged for image analysis applications throughout a multitude of subspecialties.This position paper provides a Islands perspective on the evolutionary trajectory of practical deep learning tools for genitourinary pathology through evaluating the most recent iterations of such algorithmic devices.Deep learning tools Deni

Forecasting the movements of stock prices is one of the most challenging problems in financial markets analysis.In this paper, we use machine learning (ML) algorithms for the prediction of future price movements using HOODIE limit order book data.Two different sets of features are combined and evaluated: handcrafted features based on the raw order

Abstract Background Stroke is a major neurological disorder often exacerbated by substance abuse, including tramadol and cannabis.Understanding the molecular mechanisms underlying stroke pathogenesis in drug users can improve diagnosis and treatment.This study explores the roles of CYP4A11, CYP2E1, miR-27b, and miR-214-3p in the pathogenesis of str