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Production of O' -sialon-SiC Composites by Carbon Reduction-Nitridation
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作者 Haijun Zhang Wenchao Li Xiangcong Zhong (Applied Science School, University of Science and Technology Beijing, Beijing 1 0008 3, China) 《International Journal of Minerals,Metallurgy and Materials》 SCIE EI CAS CSCD 1998年第1期26-30,共5页
The effect of temperature, soak times, carbon and addition on composites was discussed in the process ofsynthesizing O'-sialon-SiC by carbonthermal reduction-nitration from nature kaolin. It showed that the fractu... The effect of temperature, soak times, carbon and addition on composites was discussed in the process ofsynthesizing O'-sialon-SiC by carbonthermal reduction-nitration from nature kaolin. It showed that the fracturestrength (MOR) of composites sintered under certain conditions can be up to 140MPa at room temperature. Thetarget parameter optima regions with good mechanical properties of this material were also indicated by usingcomputer pattern recognition program. 展开更多
关键词 O'-sialon-SiC compostites carbonthermal reduction-nitration pattern recognition program
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Communication and Leadership Strategies for Retaining Registered Nurses: A Descriptive Phenomenological Study
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作者 Paul F. Johnson Bridgette M. Hester 《Open Journal of Medical Psychology》 2022年第3期129-157,共29页
This descriptive phenomenological study was to explore how communication and leadership influenced retention of registered nurses. The theoretical foundation of this descriptive phenomenological study is communication... This descriptive phenomenological study was to explore how communication and leadership influenced retention of registered nurses. The theoretical foundation of this descriptive phenomenological study is communication and leadership grounded in Burns theory of transformational leadership. The purpose of this study was to expand on and fill a gap in the research of how the lived experiences of nine registered nurses add to the influence communication and leadership has on retention, and to answer the following research questions. What are the lived experiences of registered nurses in the Western United States as they relate to retention when those registered nurses perceive a lack of communication? And, what are the lived experiences of registered nurses in the Western United States as they relate to retention when those registered nurses perceive a lack of leadership? The researcher interviewed nine participants working in hospitals in the Western United States. Thematic and descriptive data analysis resulted in five primary themes, transparency, cohesive workplace, passion, collaboration, and leadership. The study used transformational leadership as the primary leadership philosophy. The results of the study showed that leadership and communication can have a positive, or a negative influence on retention of registered. 展开更多
关键词 RETENTION TURNOVER Onboarding Job Stress Performance Improvement LEADERSHIP Organizational Commitment Global Nursing Job Satisfaction The Magnet recognition program
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High-accuracy dynamic gesture recognition:A universal and self-adaptive deep-learning-assisted system leveraging high-performance ionogels-based strain sensors 被引量:1
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作者 Yuqiong Sun Jinrong Huang +3 位作者 Yan Cheng Jing Zhang Yi Shi Lijia Pan 《SmartMat》 2024年第6期77-91,共15页
Gesture recognition utilizing flexible strain sensors is a highly valuable technology widely applied in human-machine interfaces.However,achieving rapid detection of subtle motions and timely processing of dynamic sig... Gesture recognition utilizing flexible strain sensors is a highly valuable technology widely applied in human-machine interfaces.However,achieving rapid detection of subtle motions and timely processing of dynamic signals remain a challenge for sensors.Here,highly resilient and durable ionogels are developed by introducing micro-scale incompatible phases in macroscopic homogeneous polymeric network.The compatible network disperses in conductive ionic liquid to form highly resilient and stretchable skeleton,while incompatible phase forms hydrogen bonds to dissipate energy thus strengthening the ionogels.The ionogels-derived strain sensors show highly sensitivity,fast response time(<10 ms),low detection limit(~50μm),and remarkable durability(>5000 cycles),allowing for precise monitoring of human motions.More importantly,a self-adaptive recognition program empowered by deep-learning algorithms is designed to compensate for sensors,creating a comprehensive system capable of dynamic gesture recognition.This system can comprehensively analyze both the temporal and spatial features of sensor data,enabling deeper understanding of the dynamic process underlying gestures.The system accurately classifies 10 hand gestures across five participants with impressive accuracy of 93.66%.Moreover,it maintains robust recognition performance without the need for further training even when different sensors or subjects are involved.This technological breakthrough paves the way for intuitive and seamless interaction between humans and machines,presenting significant opportunities in diverse applications,such as human-robot interaction,virtual reality control,and assistive devices for the disabled individuals. 展开更多
关键词 deep-learning algorithms dynamic gesture recognition human-machine interaction ionogels self-adaptive recognition program strain sensors
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