Zobrazeno 1 - 10 of 29 pro vyhledávání: '"Yuxuan Yu"'
1
Akademický článek
Direct activation of toll-like receptor 4 signaling in group 2 innate lymphoid cells contributes to inflammatory responses of allergic diseases
Autor: Li She, Hamad H. Alanazi, Yimin Xu, Yuxuan Yu, Yuzhang Gao, Shuting Guo, Qingquan Xiong, Hui Jiang, Kexin Mo, Jingwei Wang, Daniel P. Chupp, Hong Zan, Zhenming Xu, Yilun Sun, Na Xiong, Nu Zhang, Zhihai Xie, Weihong Jiang, Xin Zhang, Yong Liu, Xiao-Dong Li
Publikováno v: iScience, Vol 27, Iss 11, Pp 111240- (2024)
Summary: Group 2 innate lymphoid cells (ILC2s) are key players in type 2 immunity, but whether they can be directly activated by microbial ligands remain uncertain. In this study, we observed a positive correlation between blood endotoxin (LPS) level
Externí odkaz: https://doaj.org/article/e05621e1c2834bfea167c0ea95eab8c0
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2
Akademický článek
A Wide-Band Magnetoelectric Sensor Based on a Negative-Feedback Compensated Readout Circuit
Autor: Yang Qiu, Lingshan Shi, Longyu Chen, Yuxuan Yu, Guoliang Yu, Mingmin Zhu, Haomiao Zhou
Publikováno v: Sensors, Vol 24, Iss 2, p 423 (2024)
Magnetoelectric (ME) sensors cannot effectively detect broadband magnetic field signals due to their narrow bandwidth, and existing readout circuits are unable to vary the bandwidth of the sensors. To expand the bandwidth, this paper introduces a neg
Externí odkaz: https://doaj.org/article/418113c651dd4b84a5d7507a1da015e9
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3
Akademický článek
Freeway Traffic Congestion Reduction and Environment Regulation via Model Predictive Control
Autor: Juan Chen, Yuxuan Yu, Qi Guo
Publikováno v: Algorithms, Vol 12, Iss 10, p 220 (2019)
This paper proposes a model predictive control method based on dynamic multi-objective optimization algorithms (MPC_CPDMO-NSGA-II) for reducing freeway congestion and relieving environment impact simultaneously. A new dynamic multi-objective optimiza
Externí odkaz: https://doaj.org/article/228c731d26874db08531cc28b192d662
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6
Akademický článek
Efficient knowledge distillation for hybrid models: A vision transformer‐convolutional neural network to convolutional neural network approach for classifying remote sensing images
Autor: Huaxiang Song, Yuxuan Yuan, Zhiwei Ouyang, Yu Yang, Hui Xiang
Publikováno v: IET Cyber-systems and Robotics, Vol 6, Iss 3, Pp n/a-n/a (2024)
Abstract In various fields, knowledge distillation (KD) techniques that combine vision transformers (ViTs) and convolutional neural networks (CNNs) as a hybrid teacher have shown remarkable results in classification. However, in the realm of remote s
Externí odkaz: https://doaj.org/article/80bfd815a5c74f3d8fdf78cbfc0ef622
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