The Internet of Things (IoT) is rapidly expanding and becoming an integral part of daily life, increasing the potential for security threats such as malware or cyberattacks.Many embedded systems (ESs), responsible for handling sensitive data or facilitating secure online activities, must adhere to stringent security standards.For instance, payment

In the past decade, research on ultrasound therapy in obstetrics and gynecology has rapidly developed.Currently, high-intensity ultrasound has been widely used in clinical practice, while low-intensity ultrasound has gradually emerged as a new trend of transitioning from pre-clinical research to clinical applications.Low-intensity pulsed ultrasound

Previous studies on prostate cancer modeling under hormonal therapy successfully fit clinical serum androgen data, under the assumption that the levels of intracellular and serum androgen are similar.However, such an assumption may not hold throughout the course of treatment.In this paper, we propose a model that directly accounts for serum androge

Widespread concern has been expressed regarding unrealistic body image and adolescent eating disorder promoting content on social media (SM) platforms.Numerous research studies have examined the impact of SM on body image as well as social vulnerability on negative mental health outcomes.Despite this, few previous studies have examined the impact o

The recommendation system based on graph neural network is the current research hotspot of data mining applications.The recommendation performance beetroot birkenstock can be improved by combining the graph neural network on the heterogeneous information network(HIN).However,the existing HIN-based recommendation methods often have problems that can