Zobrazeno 1 - 10
of 438
pro vyhledávání: '"YU Jiawen"'
Publikováno v:
Xiehe Yixue Zazhi, Vol 15, Iss 4, Pp 764-770 (2024)
Pain is one of the most common symptoms in cancer patients. Apart from causing patients to suffer from unpleasant feelings and negative emotional experiences, uncontrolled pain may also influence patients' function and quality of life, and may be ass
Externí odkaz:
https://doaj.org/article/6fa052b224794599ab622394297db73e
Publikováno v:
Xiehe Yixue Zazhi, Vol 15, Iss 2, Pp 344-350 (2024)
Objective To investigate the occurrence of chronic postsurgical pain (CPSP) among patients with preoperative COVID-19, and further analyze the risk factors for CPSP. Methods This study was a ambispective cohort study, with subjects from a completed c
Externí odkaz:
https://doaj.org/article/51a48ddc0cd0454ea0dded0f91f598d7
Autor:
YU Jiawen, LIU Hongju, XU Yingying, BAO Yanping, SHI Jie, LIU Zhimin, ZHANG Yuelun, NING Xiaohong, HUANG Yuguang
Publikováno v:
Xiehe Yixue Zazhi, Vol 15, Iss 1, Pp 77-83 (2024)
Objective This study aimed to investigate Chinese anesthesiologists' comprehension of palliative care and their experiences with palliative sedation for patients in the end-stage of life. Methods From October to December 2021, a national cross-sectio
Externí odkaz:
https://doaj.org/article/156d167bc2d746ecb6e260d17653cc5b
Publikováno v:
IET Power Electronics, Vol 17, Iss 1, Pp 67-77 (2024)
Abstract In this paper, an open‐circuit fault‐tolerant topology of LC‐coupling hybrid active power filter (LC‐HAPF) and its control strategy are proposed at the switch level, which can greatly improve the reliability of the system. The propos
Externí odkaz:
https://doaj.org/article/dde512e0bf3242899111d8619387c2de
Publikováno v:
Zhongliu Fangzhi Yanjiu, Vol 50, Iss 2, Pp 170-174 (2023)
Objective To investigate the efficacy and safety of hypofractionated thoracic radiotherapy combined with EP chemotherapy in the treatment of limited-stage small-cell lung cancer (LS-SCLC). Methods A total of 117 patients with LS-SCLC were enrolled an
Externí odkaz:
https://doaj.org/article/0a5906d12f304b2e864397e182a3a46e
Publikováno v:
Green Processing and Synthesis, Vol 11, Iss 1, Pp 423-434 (2022)
Pruned wolfberry branches are abundant and ideal raw material for biomass carbonization. It would provide valuable guidance for optimizing the preparation conditions of biochar of pruned wolfberry branches for carbon sequestration and emission reduct
Externí odkaz:
https://doaj.org/article/d7bad0f23d1c44a4a53210999fe42ac9
Autor:
Wang, Haoran, Mai, Xinji, Tao, Zeng, Wang, Yan, Yu, Jiawen, Zhou, Ziheng, Tong, Xuan, Yan, Shaoqi, Zhao, Qing, Gao, Shuyong, Zhang, Wenqiang
Affective Forecasting, a research direction in psychology that predicts individuals future emotions, is often constrained by numerous external factors like social influence and temporal distance. To address this, we transform Affective Forecasting in
Externí odkaz:
http://arxiv.org/abs/2407.16406
Autor:
Mai, Xinji, Lin, Junxiong, Wang, Haoran, Tao, Zeng, Wang, Yan, Yan, Shaoqi, Tong, Xuan, Yu, Jiawen, Wang, Boyang, Zhou, Ziheng, Zhao, Qing, Gao, Shuyong, Zhang, Wenqiang
In the field of affective computing, fully leveraging information from a variety of sensory modalities is essential for the comprehensive understanding and processing of human emotions. Inspired by the process through which the human brain handles em
Externí odkaz:
http://arxiv.org/abs/2407.15590
Autor:
Wang, Haoran, Mai, Xinji, Tao, Zeng, Tong, Xuan, Lin, Junxiong, Wang, Yan, Yu, Jiawen, Wang, Boyang, Yan, Shaoqi, Zhao, Qing, Zhou, Ziheng, Gao, Shuyong, Zhang, Wenqiang
The contemporary state-of-the-art of Dynamic Facial Expression Recognition (DFER) technology facilitates remarkable progress by deriving emotional mappings of facial expressions from video content, underpinned by training on voluminous datasets. Yet,
Externí odkaz:
http://arxiv.org/abs/2406.16473
Autor:
Lin, Junxiong, Tao, Zeng, Tong, Xuan, Mai, Xinji, Wang, Haoran, Wang, Boyang, Wang, Yan, Zhao, Qing, Yu, Jiawen, Lin, Yuxuan, Yan, Shaoqi, Gao, Shuyong, Zhang, Wenqiang
The problem of blind image super-resolution aims to recover high-resolution (HR) images from low-resolution (LR) images with unknown degradation modes. Most existing methods model the image degradation process using blur kernels. However, this explic
Externí odkaz:
http://arxiv.org/abs/2406.16459