In Study 1, we recruit 500 residents of the United States and record their demographics and political leaning. Participants then indicate their prior beliefs on six topics. For each topic, ...

Objectives This study aims to develop and validate a novel implicit tool to assist clinicians in resource-limited settings to promptly assess suitability for modification of solid oral dosage forms ...

Existing supply chain information security methods all suffer from the difficulty of balancing information sharing efficiency and information privacy protection. Data is prone to leakage, resulting in ...

With the rapid development of Internet of Things (IoT) technology, the demand for distributed data sharing has surged. Privacy breaches, a single point of failure ...

ABSTRACT: Our goal is to enhance matching speed which is important for image engineering. Second Partial Derivative operator in Harris corner detector is directly used to compute the similarity ...

Abstract: Robustness and accuracy are the two main challenging problems in feature-based remote sensing image registration. In this letter, a novel point-matching algorithm is proposed. An improved ...

Diagnosis of shockable rhythms leading to defibrillation remains integral to improving out‐of‐hospital cardiac arrest outcomes. New machine learning techniques have emerged to diagnose arrhythmias on ...

Introduction The French emergency department (ED) surveillance network OSCOUR transmits data on ED visits to Santé publique France (the national public health agency). As these data are collected ...

Fractures are increasingly employed in tectonic movement and earthquake risk analyses. Because fracture connectivity influences fluid flow pathways and flow rates, fractures are studied to evaluate ...

Abstract: The paper studies the problem of distributed average consensus in sensor networks with quantized data and random link failures. To achieve consensus, dither (small noise) is added to the ...