In this multicentre, prospective, observational, diagnostic accuracy study of children with suspected pulmonary embolism in ...

Importance Structured communication tools and decision aids are recommended to facilitate goals of care discussions (GOCDs) in hospitalised patients, but their impact remains unclear. Objective To ...

Sparse identification of nonlinear dynamical systems is an important project, directly addressing the physics community’s long-standing goal of data-driven discovery. Although many effective methods ...

Abstract: To address the “data silo” challenge in traffic flow data acquisition, this paper proposes a method for estimating urban road segment traffic flow from sparse vehicle trajectory data, ...

Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...

Unruptured cerebral aneurysms (UCAs) have a relatively low prevalence of ≈3%, but detection can prevent devastating consequences of subarachnoid hemorrhage. Here, we assess the performance of a ...

Airborne lidar is a technology for mapping surface spatial information and has been widely used in many areas of geospatial information disciplines. The filtering process of removing non-ground points ...

Abstract: ER diagrams have a proven track record to rep-resent data structure and relationships, in many CS problems, beyond relational databases. The ER diagram strengths are abstraction, generality, ...

Development and Validation of a Risk Tool for Predicting Severe Toxicity in Older Adults Receiving Chemotherapy for Early-Stage Breast Cancer Patients with untreated ES-SCLC were randomly assigned 1:1 ...

At present, most lane line detection methods are aimed at simple road surface. There is still no good solution for the situation that the lane line contains arrow, text and other signs. The edge left ...