Yinmei Yang,1 Lili Lu,2 Tom Chen,3 Shangyuan Ye,3 Mohammedhamid Osman Kelifa,1 Na Cao,1 Qian Zhang,4 Tonger Liang,5 Wei Wang6 1School of Health Sciences, Wuhan University, Wuhan, Hubei, 430071, People’s Republic of China; 2Department of Gastroenterology, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221004, People&rsq
Frequency emergency control strategy in power systems considering the participation of energy storage clusters
Recently, the power systems with a high penetration of renewables and power electronics Canvas Prints have come into being.In these power systems, complex system dynamics, emergency faults, and insufficient frequency regulation reserve pose threats to system frequency stability.Based on the clustering development of energy storage, to ensure the sy
Insight on Knowledge, Risk Perception and Practices to Prevent the Spread of COVID-19: A Cross-Sectional Study among Italian University Students
Addressing adherence to non-pharmaceutical interventions among young adults represents a public health priority since this age group did not directly experience a health risk from COVID-19.The study aims were to investigate the level of knowledge, risk perception and practices to prevent the spread of COVID-19 among undergraduate university student
BDD-Net: A General Protocol for Mapping Buildings Damaged by a Wide Range of Disasters Based on Satellite Imagery
The timely and accurate recognition of damage to buildings after destructive disasters is one of the most important post-event responses.Due to the Microwave Waveguide Cover Material complex and dangerous situations in affected areas, field surveys of post-disaster conditions are not always feasible.The use of satellite imagery for disaster assessm
Attention-enhanced optimized deep ensemble network for effective facial emotion recognition
Facial emotion recognition (FER) is rapidly advancing, with significant applications in healthcare, human-computer interactions, and biometric security, driven by recent advances in artificial intelligence (AI), computer vision, and deep learning.In recent studies, various algorithms have encountered several challenges such as data scarcity, low-re