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Optimizing demand response and load balancing in smart EV charging networks using AI integrated blockchain framework.
Sci Rep
December 2024
Department of Theoretical Electrical Engineering and Diagnostics of Electrical Equipment, Institute of Electrodynamics, National Academy of Sciences of Ukraine, Beresteyskiy, 56, Kyiv-57, 03680, Kyiv, Ukraine.
The integration of Electric Vehicles (EVs) into power grids introduces several critical challenges, such as limited scalability, inefficiencies in real-time demand management, and significant data privacy and security vulnerabilities within centralized architectures. Furthermore, the increasing demand for decentralized systems necessitates robust solutions to handle the growing volume of EVs while ensuring grid stability and optimizing energy utilization. To address these challenges, this paper presents the Demand Response and Load Balancing using Artificial intelligence (DR-LB-AI) framework.
View Article and Find Full Text PDFEpidemiological insights into chronic urticaria, vitiligo, alopecia areata, and herpes zoster following COVID-19 infection: A nationwide population-based study.
J Dermatol
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Department of Ophthalmology, Otolaryngology, and Dermatology, Kyung Hee University College of Korean Medicine, Kyung Hee University Hospital at Gangdong, Seoul, Republic of Korea.
The long-term complications of coronavirus disease 2019 (COVID-19) continue to cause global concern. This study aimed to estimate the incidence and risk of chronic urticaria, vitiligo, alopecia areata, and herpes zoster following COVID-19 infection. Only participants confirmed by real-time reverse transcription-polymerase chain reaction tests to have COVID-19 were enrolled in the COVID-19 group.
View Article and Find Full Text PDFA compact and fast radio-frequency source for efficient Raman sideband cooling.
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MOE Key Laboratory of Fundamental Physical Quantities Measurement, Hubei Key Laboratory of Gravitation and Quantum Physics, PGMF and School of Physics, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan 430074, People's Republic of China.
A compact and fast radio-frequency (RF) source developed for Raman sideband cooling (RSBC) in trapped ion and cold atom experiments is presented. The source is based on direct digital synthesizer, advanced real-time infrastructure for quantum physics, and field programmable gate array. The source has a frequency switching speed of 40 ns and can output continuous μs-level time sequences for RSBC.
View Article and Find Full Text PDFInvestment strategies for sustainable safe development of Chinese coal mine employees driven by digital intelligence.
Front Public Health
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School of Economics and Management, Huainan Normal University, Huainan, China.
China's "14th Five-Year Plan" proposes the construction of a "Digital China," posing the challenge of digital transformation to coal mining enterprises. It is critical to compare the effectiveness of investing in digital devices with that of human capital. This study establishes a structural equation model based on the 'regulation-situation-behavior' theoretical framework.
View Article and Find Full Text PDFExplicit metrics for implicit emotions: investigating physiological and gaze indices of learner emotions.
Front Psychol
December 2024
Departent of Learning, Data-Analytics and Technology, Faculty of Behavioural, Management and Social Sciences, University of Twente, Enschede, Netherlands.
Learning experiences are intertwined with emotions, which in turn have a significant effect on learning outcomes. Therefore, digital learning environments can benefit from taking the emotional state of the learner into account. To do so, the first step is real-time emotion detection which is made possible by sensors that can continuously collect physiological and eye-tracking data.
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