Zobrazeno 1 - 10
of 2 363
pro vyhledávání: '"LI Yanhua"'
Publikováno v:
High Temperature Materials and Processes, Vol 43, Iss 1, Pp pp. 130-149 (2024)
High-performance ceramics, especially h-BN-based ceramics, are widely used in the metallurgical field. The interface state of h-BN-based ceramic composites, including chemical reactions, molecular diffusion, and interface structure changes, will grea
Externí odkaz:
https://doaj.org/article/143d94aab5c6454ebce9922cb86ff63c
Autor:
TIAN Yixian (田忆贤), LI Wenting (李文婷), ZHAO Haijie (赵海杰), LI Jiaqi (李佳琪), XUE Ning (薛宁), CHENG Lili (程丽丽), LI Yanhua (李艳华)
Publikováno v:
中西医结合护理, Vol 9, Iss 9, Pp 219-222 (2023)
Diabetic nephropathy is one of the main common diseases in nephrology endocrinology. This paper reviews studies about comprehensive nursing interventions such as dietary guidance, exercise nursing, drug treatment, psychological nursing, traditional C
Externí odkaz:
https://doaj.org/article/8267baba16e5400b98f2b13bc47c8678
Autor:
LIANG Xuejiao (梁雪娇), WANG Ting (王婷), SONG Xiaofei (宋晓菲), LI Yanhua (李艳华), WANG Xufeng (王旭凤), ZHAO Haijie (赵海杰), HU Yiyuan (胡译元)
Publikováno v:
中西医结合护理, Vol 9, Iss 9, Pp 66-68 (2023)
The incidence of lumbar disc herniation (LDH) is increasing gradually. Surgical treatment combined with TCM physiotherapy can effectively relieve the pain of LDH patients. This paper summarized perioperative nursing management in a patient undergoing
Externí odkaz:
https://doaj.org/article/b697f9314cb14edea068a7e345a5c1bb
Autor:
WANG Ting (王婷), LI Jie (李杰), LIU Yang (刘扬), FU Jingna (付景娜), LIU Guyi (刘谷一), TIAN Yixian (田忆贤), HU Yiyuan (胡译元), ZOU Fang (邹芳), ZHAO Yu (赵瑜), WANG Xufeng (王旭凤), ZHAO Haijie (赵海杰), CHENG Lili (程丽丽), LI Yanhua (李艳华), LIANG Xuejiao (梁雪娇), MU Ziye (穆子业)
Publikováno v:
中西医结合护理, Vol 9, Iss 9, Pp 69-71 (2023)
This paper summarized the postoperative nursing management of a child with spastic cerebral palsy. The child received selective posterior rhizotomy followed by preoperative examination and preparation. In addition to the interventions on postoperativ
Externí odkaz:
https://doaj.org/article/ee2eb2dc2ba84157b5bebe19f0fba21f
Autor:
Li, Yanhua, Ouyang, Xiaocao, Pan, Chaofan, Zhang, Jie, Zhao, Sen, Xia, Shuyin, Yang, Xin, Wang, Guoyin, Li, Tianrui
Publikováno v:
AAAI2025
Open intent classification is critical for the development of dialogue systems, aiming to accurately classify known intents into their corresponding classes while identifying unknown intents. Prior boundary-based methods assumed known intents fit wit
Externí odkaz:
http://arxiv.org/abs/2412.13542
Autor:
Yu, Runlong, Qiu, Chonghao, Ladwig, Robert, Hanson, Paul C., Xie, Yiqun, Li, Yanhua, Jia, Xiaowei
This paper introduces a \textit{Process-Guided Learning (Pril)} framework that integrates physical models with recurrent neural networks (RNNs) to enhance the prediction of dissolved oxygen (DO) concentrations in lakes, which is crucial for sustainin
Externí odkaz:
http://arxiv.org/abs/2411.12973
Autor:
Lin, Fangzhou, Liu, Haotian, Zhou, Haoying, Hou, Songlin, Yamada, Kazunori D, Fischer, Gregory S., Li, Yanhua, Zhang, Haichong K., Zhang, Ziming
3D point clouds enhanced the robot's ability to perceive the geometrical information of the environments, making it possible for many downstream tasks such as grasp pose detection and scene understanding. The performance of these tasks, though, heavi
Externí odkaz:
http://arxiv.org/abs/2409.06171
Publikováno v:
Zhongguo Jianchuan Yanjiu, Vol 14, Iss 5, Pp 77-84 (2019)
[Objectives]In a marine diesel engine,the SCR reactor's NOx conversion efficiency is effected by the flow field uniformity at the inlet. In order to optimize the design of the exhaust pipeline of the diesel engine and the improve the SCR reactor's co
Externí odkaz:
https://doaj.org/article/c30f2c04d0ff46e883af88dabfe9a0a3
Enhancing diverse human decision-making processes in an urban environment is a critical issue across various applications, including ride-sharing vehicle dispatching, public transportation management, and autonomous driving. Offline reinforcement lea
Externí odkaz:
http://arxiv.org/abs/2406.14054
Autor:
Xie, Yiqun, Wang, Zhihao, Chen, Weiye, Li, Zhili, Jia, Xiaowei, Li, Yanhua, Wang, Ruichen, Chai, Kangyang, Li, Ruohan, Skakun, Sergii
Foundation models, i.e., very large deep learning models, have demonstrated impressive performances in various language and vision tasks that are otherwise difficult to reach using smaller-size models. The major success of GPT-type of language models
Externí odkaz:
http://arxiv.org/abs/2404.11797