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901 results on '"Yang, Yongxin"'

167. Incidence of active tuberculosis in individuals with latent tuberculosis infection in rural China: follow-up results of a population-based, multicentre, prospective cohort study

Author

Kong, Wen, Chen, Cheng, Wang, Yuejin, Gong, Fengqiu, Guo, Lili, Huang, Zhonghui, Shao, Wenjuan, Sun, Ping, Xue, Chunhua, Zhu, Yiqing, Jiang, Weiping, Gui, Yaxiang, Wang, Hao, Yang, Ping, Yao, Ruiyong, Yin, Wenhua, Chao, Nong, Jiang, Tao, Qian, Baima village:Qinxiao, Shi, Hongqin, Tao, Yungen, Wu, Meiqin, Yang, Yuping, Zhang, Dongmei, Zhang, Guoxian, Wang, Jianguo, Chen, Xiaojun, Ding, Zhaosheng, Fu, Huajie, Hang, Li, Huang, Yu, Jiang, Huiping, Jiang, Huaxin, Li, Junlian, Liu, Baoxia, Pan, Lijun, Shao, Caiyun, Tan, Huixia, Tan, Qiuwei, Wang, Weizhong, Yang, Jianping, Yi, Meiqin, Yin, Qianlu, Yuan, Hua, Zhang, Weixing, Zhu, Hong, Fei, Haojun, Jiang, Liwei, Li, Wenhong, Shen, Zhaoer, Sun, Xiaomei, Tang, Wenjuan, Wang, Mingming, Wu, Jinlong, Zhang, Songqing, Zhang, Xiaozhong, Guan, Ling, Guan, Xueling, Liu, Wantong, Cui, Wei, Lei, Zhaokuan, Wang, Yongming, Yu, Yongmin, Song, Liucun, Wang, Tao, Li, Xiaolong, Luo, Jianrong, Wang, Hebin, Liu, Weiguo, Zhang, Fude, Zhang, Fang, Wang, Yongfu, Zhao, Qingna, Liu, Yinbiao, Li, Jianli, Dan, Liujie, Wang, Dakuan, Yan, Jiaoxia, Zhu, Guofu, Liu, Zisen, He, Zhoulun, Yan, Yongfen, Li, Ping, Shang, Huailiang, Heng, Baichao, Liu, Shuli, Ran, Zhe, Jiang, Kun, Zhu, Xin, Wu, Haibin, Liang, Liling, Yuan, Jianhui, Wang, Zhigang, Meng, Aijing, Wang, Jing, Guan, Xia, Yang, Jiannan, Li, Yan, Liu, Haixia, Wang, Wuying, Liu, Xinhao, Qiao, Fuke, Li, Xianmin, Zhao, Herong, Zhu, Chunyuan, Lu, Yanan, Liu, Ning, Peng, Yanan, Wan, Li, Chen, Hairui, Song, Xiaoming, Lou, Qingtao, Wang, Wei, Liu, Changshui, Zhang, Lijuan, Zhang, Zhanjiang, Yuan, Shijie, Yang, Yongxin, Chen, Suqin, Dong, Changjie, Ran, Jianguo, Wu, Weiling, Li, Zhen, Zhang, Hui, Duan, Liujia, Yang, Fan, Liu, Ying, Wang, Kun, Yan, Lina, Ma, Jiangli, Wan, Liuyan, Li, Yanfen, Wang, Han, Yuan, Bing, Du, Ruiling, Zhang, Jie, Zhang, Jingge, Li, Lin, Zhao, Aihua, Wei, Junhong, Zhao, Ning, Zhu, Yonghui, Mao, Wuyi, Luo, Qi, Huang, Zhongpu, Guo, Hongbin, Zheng, Na, Pan, Weiwei, Qin, Meng, Li, Ying, Xiao, Shanshan, Zhang, Yun, Wu, Weiying, Li, Jing, Song, Liusen, Tang, Yi, Yao, Qineng, Yang, Kunyun, Kuang, Meixiong, Bao, Changlin, Xiao, Tao, Wan, Yanping, Wan, Xiaojie, Liu, Binbin, Jiang, Tieliu, Zhang, Xiaoping, Tan, Zhen, Zhang, Xiaobing, Liu, Zhaoguo, Chen, Zhenhua, Wang, Yu, Yu, Yanyan, Dai, Saibo, Hu, PeiLei, Zhang, Chuanfang, Li, Yanhong, Gong, Dehua, Liu, Liqin, Li, Xiaohong, Ling, Jie, Shan, Xinhua, Zhang, Z huo, Deng, Haibing, Zeng, Zhengbiao, Li, Honghua, Zhou, Shuiping, Xu, Ying, Zhang, Can, Chen, Haifeng, Wang, Xiaoling, Chen, Yao, Yang, Sheng, Peng, Weiping, Sun, Huan, Liao, Hui, Xie, Xiping, Liang, Fang, Hu, Cheng, Hu, Siwei, Liu, Xinyu, Peng, Jun, Liu, Wenxin, Liu, Decheng, Liu, Wenbin, Li, Xiangmei, Guo, Hui, Wang, Wen, He, Yujue, Wang, Bo, Zhang, Yaping, Gao, Qiaofen, Zhao, Jianxi, Chen, Weitao, Li, Qing, Mu, Taojun, Liang, Qijun, Gu, Jixiu, Ma, Ling, An, Ning, Li, Junwen, Yao, Qinhua, Liang, Chengzhi, Ge, Xiuqun, Chen, Yalin, Luan, Shumao, Sun, Yanhong, Yang, Ruifang, Ma, Bin, Zhang, Suiqiang, Liang, Fusheng, Tian, Yuan, Zhang, Hongxia, Yang, Fanqin, Lu, Qifeng, Chen, Jun, Dong, Yan, Zhang, Shunsheng, Jin, Ziming, Wang, Jintao, Lan, Jianwei, Zhang, Zhanjun, Wu, Yumin, Shi, Jianlin, Shi, Zhaoping, Chen, Yan, Ding, Jianxin, An, Xiaofeng, Yang, Jun, Ling, Dongdong, Nie, Zhenzhou, Liu, Chunli, Mi, Guangyin, Ma, Jun, Guo, Jiyun, Gao, Lei, Li, Xiangwei, Liu, Jianmin, Wang, Xinhua, Lu, Wei, Bai, Liqiong, Xin, Henan, Zhang, Haoran, Li, Hengjing, Zhang, Zongde, Ma, Yu, Li, Mufei, Feng, Boxuan, Du, Jiang, Sui, Hongtao, Zhao, Rong, Su, Haoxiang, Pan, Shouguo, Shen, Fei, He, Jian, Yang, Shumin, Si, Hongyan, Cheng, Xu, Xu, Zuhui, Tan, Yunhong, Chen, Tianzhu, Xu, Weiguo, Peng, Hong, Wang, Zhijian, Zhu, Tao, Chen, Xiaoyou, Zhou, Xinhua, and Jin, Qi

Published
2017
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182. Optimisation-Based Multi-Modal Semantic Image Editing

Author

Li, Bowen, Yang, Yongxin, McDonagh, Steven, Zhang, Shifeng, Tudosiu, Petru-Daniel, Parisot, Sarah, Li, Bowen, Yang, Yongxin, McDonagh, Steven, Zhang, Shifeng, Tudosiu, Petru-Daniel, and Parisot, Sarah

Abstract

Image editing affords increased control over the aesthetics and content of generated images. Pre-existing works focus predominantly on text-based instructions to achieve desired image modifications, which limit edit precision and accuracy. In this work, we propose an inference-time editing optimisation, designed to extend beyond textual edits to accommodate multiple editing instruction types (e.g. spatial layout-based; pose, scribbles, edge maps). We propose to disentangle the editing task into two competing subtasks: successful local image modifications and global content consistency preservation, where subtasks are guided through two dedicated loss functions. By allowing to adjust the influence of each loss function, we build a flexible editing solution that can be adjusted to user preferences. We evaluate our method using text, pose and scribble edit conditions, and highlight our ability to achieve complex edits, through both qualitative and quantitative experiments.

Published
2023

186. MEDFAIR: Benchmarking Fairness for Medical Imaging

Author

Zong, Yongshuo, Yang, Yongxin, and Hospedales, Timothy M

Abstract

A multitude of work has shown that machine learning-based medical diagnosis systems can be biased against certain subgroups of people. This has motivated a growing number of bias mitigation algorithms that aim to address fairness issues in machine learning. However, it is difficult to compare their effectiveness in medical imaging for two reasons. First, there is little consensus on the criteria to assess fairness. Second, existing bias mitigation algorithms are developed under different settings, e.g., datasets, model selection strategies, backbones, and fairness metrics, making a direct comparison and evaluation based on existing results impossible. In this work, we introduce MEDFAIR, a framework to benchmark the fairness of machine learning models for medical imaging. MEDFAIR covers eleven algorithms from various categories, ten datasets from different imaging modalities, and three model selection criteria. Through extensive experiments, we find that the under-studied issue of model selection criterion can have a significant impact on fairness outcomes; while in contrast, state-of-the-art bias mitigation algorithms do not significantly improve fairness outcomes over empirical risk minimization (ERM) in both in-distribution and out-of-distribution settings. We evaluate fairness from various perspectives and make recommendations for different medical application scenarios that require different ethical principles. Our framework provides a reproducible and easy-to-use entry point for the development and evaluation of future bias mitigation algorithms in deep learning. Code is available at https://github.com/ys-zong/MEDFAIR.

Published
2023

187. Weakly Supervised Learning of Objects, Attributes and Their Associations

Author

Shi, Zhiyuan, Yang, Yongxin, Hospedales, Timothy M., Xiang, Tao, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Kobsa, Alfred, Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Nierstrasz, Oscar, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Fleet, David, editor, Pajdla, Tomas, editor, Schiele, Bernt, editor, and Tuytelaars, Tinne, editor

Published
2014
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189. Effect Mechanism of Wind Barriers on Flutter Characteristics of Closed Box Girders with Different Aspect Ratios.

Author

Yang, Yongxin, Zhu, Jinbo, Hong, Lizhu, Ge, Yaojun, Su, Rushen, Yang, Huchen, and Zhou, Rui

Subjects
BOX beams, AERODYNAMIC stability, WIND erosion, CRITICAL velocity, DERIVATIVES (Mathematics), WIND tunnels
Abstract

Wind barrier is an effective countermeasure to protect vehicles from the lateral wind on sea-crossing bridges. Previous studies focused on the sheltering efficiency of wind barriers and their effects on the aerodynamic/aeroelastic characteristics but ignored the analysis of intrinsic mechanism for dynamic stability, especially for flutter instability, which results only in a vague understanding of the role of wind barriers in flutter. Hence, this study paid attention to the effect mechanism of wind barriers on the flutter characteristics to generate a comprehensive understanding of the coupled relationship between wind barriers and the main structure. Wind tunnel experiments of closed box girders with different aspect ratios were first conducted to unearth the sensitivity of wind-barrier location, wind-barrier shape, wind-barrier porosity, and aspect ratios of main girders to flutter performance. The positive function of wind barriers was discovered, which was contrary to the common view that wind barriers had an adverse effect on streamlined structures. Then, the overall evolution of flutter process affected by wind barriers was investigated in detail from the flutter derivative contribution and modal participation. Simultaneously, local-region responses on the bridge surface to the installation of wind barriers were also studied by a proposed simplified local effect model based on surface fluctuating pressure. Also, the reason for the different influences of wind barriers was revealed according to the analysis from both overall and local levels. Wind barrier is an effective countermeasure to protect vehicles from the lateral wind on sea-crossing bridges. However, a modification of structural aerodynamic shape affected by wind barriers may have an adverse effect on aerodynamic stability, especially flutter instability. This study focuses on the wind-barrier effects on the flutter characteristics of closed box girders with different aspect ratios. The model test shows that there is no obvious positive or negative correspondence between wind barriers and structural flutter performance. If we can make full use of wind barriers, the flutter critical wind velocity can be improved by even 40%. Then, the flutter mechanism of wind barriers is investigated in detail based on the analysis of global derivatives, local derivatives, and unsteady pressure. Finally, the key flutter derivatives and the key function region of the deck surface are obtained, which may provide some references for the application of closed box girders in super long-span bridges. [ABSTRACT FROM AUTHOR]

Published
2023
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199. Advances in coatings on magnesium alloys for cardiovascular stents – A review

Author

Zhao-Qi Zhang, Jingan Li, Yang Yongxin, Shaokang Guan, and Rong-Chang Zeng

Subjects
Materials science, Biocompatibility, QH301-705.5, 0206 medical engineering, Biomedical Engineering, chemistry.chemical_element, Nanotechnology, 02 engineering and technology, Article, Corrosion, Biomaterials, Rapid endothelialization, Surface modification, Magnesium alloy, Biology (General), Cardiovascular stent, Materials of engineering and construction. Mechanics of materials, Functional properties, Mg alloys, Magnesium, 021001 nanoscience & nanotechnology, equipment and supplies, 020601 biomedical engineering, chemistry, TA401-492, 0210 nano-technology, Biotechnology
Abstract

Magnesium (Mg) and its alloys, as potential biodegradable materials, have drawn wide attention in the cardiovascular stent field because of their appropriate mechanical properties and biocompatibility. Nevertheless, the occurrence of thrombosis, inflammation, and restenosis of implanted Mg alloy stents caused by their poor corrosion resistance and insufficient endothelialization restrains their anticipated clinical applications. Numerous surface treatment tactics have mainly striven to modify the Mg alloy for inhibiting its degradation rate and enduing it with biological functionality. This review focuses on highlighting and summarizing the latest research progress in functionalized coatings on Mg alloys for cardiovascular stents over the last decade, regarding preparation strategies for metal oxide, metal hydroxide, inorganic nonmetallic, polymer, and their composite coatings; and the performance of these strategies in regulating degradation behavior and biofunction. Potential research direction is also concisely discussed to help guide biological functionalized strategies and inspire further innovations. It is hoped that this review can give assistance to the surface modification of cardiovascular Mg-based stents and promote future advancements in this emerging research field., Graphical abstract Image 1, Highlights • This article overviews the development course and present situation of Mg-based stents. • The crucial issues of limiting the clinical application of Mg-based stents are proposed in this article. • This article summarizes the recent research progress in the surface modification tactic of Mg-based stents. • The future directions of modification strategies of Mg-based stents are discussed in this article.

Published
2021

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