Magnetorheological (MR) fluid devices are widely used in active automotive control applications.However, MR fluid-based valve actuators are not in the limelight.This paper proposes a new flexible valve train with an MR fluid control system; the valve train can enhance the performance of internal combustion engines.A major component of this valve tr

Pedestrian detection models in autonomous driving systems heavily rely on deep neural networks (DNNs) to perceive their surroundings.Recent research has unveiled the vulnerability of DNNs to backdoor attacks, in which malicious actors manipulate the system by embedding specific triggers within the training data.In this paper, we propose a tailored

Pedestrian detection models in autonomous driving systems heavily rely on deep neural networks (DNNs) to perceive their surroundings.Recent research has unveiled the vulnerability of DNNs to backdoor attacks, in which malicious actors manipulate the system by embedding specific triggers within the training data.In this paper, we propose a tailored

IntroductionHaving to adapt to a new environment with various other challenges while completing their studies, Chinese college students experience intense stress related to the study of the English language.However, there has been little research on the serial mediating mechanism of English-learning stress on English academic performance.MethodsPre

Air Purifier Safe and efficient techniques for the live capture of carnivores are limited.In this study, we identified some of the factors that could affect the success of capturing red fox cubs with live capture traps (also known as cage traps).During a three-year period, we analysed 32 captures of 25 fox cubs (1.3 captures/fox).We assessed the im