Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Yanxia Liu"'
Publikováno v:
Neural Networks. 142:340-350
Named entity recognition (NER) is crucial in various natural language processing (NLP) tasks. However, the nested entities which are common in practical corpus are often ignored in most of current NER models. To extract the nested entities, two categ
Autor:
Xiaoli Cheng, Yanxia Liu, Chenghui Yan, Dan Liu, Yaling Han, Xiaoxiang Tian, Haixu Song, Zhang Xiaolin
Publikováno v:
Cell Death and Disease, Vol 12, Iss 4, Pp 1-16 (2021)
Cell Death & Disease
Cell Death & Disease
Phenotype switching of cardiac fibroblasts into myofibroblasts plays important role in cardiac fibrosis following myocardial infarction (MI). Cellular repressor of E1A-stimulated genes (CREG) protects against vascular and cardiac remodeling induced b
Autor:
Zengyuan Yu, Yanxia Liu, Qingqin Chen, Yanxi Wang, Liping Meng, Shanxiu Li, Shuyi Cheng, Shaobo Qin, Bin Cheng, Yanlun Zhang, Yubin Dong, Mingchao Li, Yuhong Dong, Aiguo Zhang, Huiqing Sun, Weiling Yan
Publikováno v:
Italian Journal of Pediatrics, Vol 47, Iss 1, Pp 1-7 (2021)
Italian Journal of Pediatrics
Italian Journal of Pediatrics
Purpose Retinopathy of prematurity (ROP) is a disease that causes vision loss, vision impairment, and blindness, most frequently manifesting among preterm infants. ROPScore and CHOP ROP (Children’s Hospital of Philadelphia ROP) are similar scoring
Autor:
Liya Li, Libo Tang, Qian Jiao, Yaping Wang, Haiyan Shi, Zhipeng Liu, Yujuan Guan, Baolin Liao, Yanxia Liu, Min Xie, Linghua Li, Weilie Chen, Xi He, Chunliang Lei, Qingxin Gan, Han Zhao, Yi Cao, Yaling Shi, Yongyin Li
Publikováno v:
International Journal of Medical Sciences
Rationale: Previous studies of coronavirus disease 2019 (COVID-19) were mainly focused on cross-sectional analysis. In this study, we sought to evaluate the dynamic changes of immunological and radiographic features, and the association with the outc
Publikováno v:
Neurocomputing. 409:12-26
A critical bottleneck in pedestrian detection is the detection of small-scale pedestrians, which have low contrast and blurry shapes in images and videos. Considered that the body shape of a pedestrian is always rectangular (the height is greater tha
Publikováno v:
Neurocomputing. 411:302-312
We present a novel end-to-end deep neural network model based on graph convolutional networks for simultaneous joint extraction of entities and relations among them. Our model captures context and syntactic information from sentence by stacking a gra
Publikováno v:
Journal of Traditional Chinese Medical Sciences, Vol 7, Iss 2, Pp 133-140 (2020)
Background: Xiaoqinglong decoction (XQLD) is a classic Chinese medicinal formula that is widely used to treat allergic asthma. Recently, the use of XQLD to treat allergic asthma has inspired research to determine its mechanism of action. Because dend
Autor:
Yanxia Liu, Lina Zhang, Weiying Li, Peter Lin, Meng Gu, Xinyong Zhang, Yilin Li, Daisy Dandan Wang, Ziyu Wang, Tongmei Zhang
Publikováno v:
Cancer Letters. 469:355-366
Sustained angiogenesis and increased PD-L1 expression on endothelial and carcinoma cells contribute toward fostering an immunosuppressive microenvironment suitable for tumor growth. PD-L1+ CTCs were reported to associate with poor prognosis in NSCLC
Autor:
Haixu Song, Jiayin Li, Zhi-Wei Hou, Chenghui Yan, Xiaoxiang Tian, Yanxia Liu, Meili Liu, Dan Liu, Yaling Han
Publikováno v:
American Journal of Nephrology. 51:401-410
Background: Human cellular repressor of E1A-stimulated genes (CREG) is a secreted glycoprotein that attenuates angiotensin II-induced hypertension, alleviates myocardial fibrosis, and improves heart function. However, the role of CREG in high-salt (H
Autor:
Yutao Guo, Hao Wang, Hui Zhang, Tong Liu, Zhaoguang Liang, Yunlong Xia, Li Yan, Yunli Xing, Haili Shi, Shuyan Li, Yanxia Liu, Fan Liu, Mei Feng, Yundai Chen, Gregory Y.H. Lip, Deirdre A. Lane, Liming Wang, Jens Eckstein, G Neil Thomas, Liu Tong, Feng Mei, Liu Xuejun, Li Xiaoming, Shan Zhaoliang, Shi Xiangming, Zhang Wei, Xing Yunli, Wen Jing, Wu Fan, Yang Sitong, Jin Xiaoqing, Yang Bo, Bai Xiaojuan, Jiang Yuting, Liu Yangxia, Song Yingying, Tan Zhongju, Yang Li, Luan Tianzhu, Niu Chunfeng, Zhang Lili, Li Shuyan, Wang Zulu, Xv Bing, Liu Liming, Jin Yuanzhe, Xia Yunlong, Chen Xiaohong, Wu Fang, Zhong Lina, Sun yihong, Jia shujie, Li Jing, Li Nan, Li shijun, Liu huixia, Li Rong, Liu Fan, Ge qingfeng, Guan tianyun, Wen Yuan, Li Xin, Ren Yan, Chen xiaoping, Chen ronghua, Shi Yun, Zhao yulan, Shi haili, Zhao yujie, Wang quanchun, Sun weidong, Wei Lin, Esther Chan, Shan Guangliang, Yao Chen, Zong Wei, Chen Dandi, Han Xiang, Xu Anding, Fan Xiaohan, Yu Ziqiang, Gu Xiang, Ge Fulin
Publikováno v:
Guo, Y, Wang, H, Zhang, H, Liu, T, Liang, Z, Xia, Y, Yan, L, Xing, Y, Shi, H, Li, S, Liu, Y, Liu, F, Feng, M, Chen, Y, Lip, G Y H, MAFA II investigators & Lip, G Y H 2019, ' Mobile photoplethysmographic technology to detect atrial fibrillation ', Journal of the American College of Cardiology, vol. 74, no. 19, pp. 2365-2375 . https://doi.org/10.1016/j.jacc.2019.08.019
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
Background: Low detection and nonadherence are major problems in current management approaches for patients with suspected atrial fibrillation (AF). Mobile health devices may enable earlier AF detection and improved AF management. Objectives: This st