The paper is devoted to analysis of the results of CT in 1000 patients examined in the Multibranch Research and Technology Complex "Eye Microsurgery". The specific feature of CT in this institution is that 52% of all investigations of ophthalmological patients fall to the share of eyeball abnormality and 40%--to a study of the other parts of the organ of vision. CT indications are extended for low tension glaucoma, complicated high myopia, and for monitoring the position of microsurgical implants. The use of CT in such a highly specialized medical institution as the MRTC "Eye Microsurgery" is considered indispensable.
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J Med Internet Res
January 2025
Institute for Entrepreneurship, Technology Management and Innovation (EnTechnon), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.
Background: Digital health technology (DHT) has the potential to revolutionize the health care industry by reducing costs and improving the quality of care in a sector that faces significant challenges. However, the health care industry is complex, involving numerous stakeholders, and subject to extensive regulation. Within the European Union, medical device regulations impose stringent requirements on various ventures.
View Article and Find Full Text PDFNoise Health
January 2025
School of Public Health, Anhui University of Science and Technology, Huainan, Anhui, People's Republic of China.
Objectives: This study aims to investigate the relationship between noise kurtosis and cardiovascular disease (CVD) risk while exploring the potential of kurtosis assessment in evaluating CVD risk associated with complex noise exposure in coal mines.
Methods: This cross-sectional study started in April 2021 and ended in November 2022. It involved 705 coal miners selected from 1045 participants.
Neural Comput
January 2025
Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, 200437, China
Spiking neural networks (SNNs) have attracted significant interest in the development of brain-inspired computing systems due to their energy efficiency and similarities to biological information processing. In contrast to continuous-valued artificial neural networks, which produce results in a single step, SNNs require multiple steps during inference to achieve a desired accuracy level, resulting in a burden in real-time response and energy efficiency. Inspired by the tradeoff between speed and accuracy in human and animal decision-making processes, which exhibit correlations among reaction times, task complexity, and decision confidence, an inquiry emerges regarding how an SNN model can benefit by implementing these attributes.
View Article and Find Full Text PDFChin Med J (Engl)
December 2024
Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases (NCRC-DID), Ministry of Science & Technology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing 100730, China.
ACS Appl Mater Interfaces
January 2025
Inner Mongolia Key Laboratory of Advanced Ceramic Materials and Devices, School of Materials Science and Engineering, Inner Mongolia University of Science and Technology, Baotou 014010, China.
Lead-free ceramic-based dielectric capacitors are critical in electronics and environmental safety. Nevertheless, developing ideal lead-free ceramics with excellent energy storage properties remains a challenging task for practical applications. Herein, the enhanced relaxation behavior and increased breakdown electric field are utilized to realize the high energy storage behavior of (0.
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