Zobrazeno 1 - 10
of 527
pro vyhledávání: '"Chaofeng LI"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract To accurately understand the deformation behavior of surrounding rock in the jiugongshan No.2 high ground stress tunnel and optimize construction parameters for improved efficiency, on-site monitoring was used to gather data on rock deformat
Externí odkaz:
https://doaj.org/article/d339d30302394242a704ceaa06f5440e
Autor:
Leichang Zhang, Pan Shen, Wei Ge, Wu Liao, Qinghua Luo, Chaofeng Li, Chuanyu Zhan, Xiao Yuan, Xiaonan Zhang, Xiaojun Yan
Publikováno v:
BMC Gastroenterology, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Inflammatory bowel disease (IBD), a chronic inflammatory condition, is caused by several factors involving aberrant immune responses. Genetic factors are crucial in IBD occurrence. Mendelian randomization (MR) can offer a new pers
Externí odkaz:
https://doaj.org/article/314504c5ed4d470bbffb15d8b088456b
Autor:
Wenmin Liao, Rong He, Zhonglian He, Nan Shi, Dan Li, Aihua Zhuang, Feng Gan, Ying Sun, Chaofeng Li
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e51412 (2024)
BackgroundTertiary hospitals in China are confronted with significant challenges due to limited spatial capacity and workforce constraints, leading to saturated allocation of medical resources and restricted growth in medical service provision. The i
Externí odkaz:
https://doaj.org/article/89c34462351b4bc9b028a6b02da426dd
Autor:
Meiqin Xiao, Yishu Deng, Wei Zheng, Lishu Huang, Wei Wang, Hao Yang, Danyan Gao, Zhixing Guo, Jianwei Wang, Chaofeng Li, Fang Li, Feng Han
Publikováno v:
Heliyon, Vol 10, Iss 20, Pp e38850- (2024)
Background: To enhance the accuracy of hepatocellular carcinoma (HCC) diagnosis using contrast-enhanced (CE) US, the American College of Radiology developed the CEUS Liver Imaging Reporting and Data System (LI-RADS). However, the system still exhibit
Externí odkaz:
https://doaj.org/article/445494694e224247940453cf076adead
Autor:
Lujun Shen, Yiquan Jiang, Tao Zhang, Fei Cao, Liangru Ke, Chen Li, Gulijiayina Nuerhashi, Wang Li, Peihong Wu, Chaofeng Li, Qi Zeng, Weijun Fan
Publikováno v:
Cancer Informatics, Vol 23 (2024)
Objectives: Patients with intermediate or advanced hepatocellular carcinoma (HCC) require repeated disease monitoring, prognosis assessment and treatment planning. In 2018, a novel machine learning methodology “survival path” (SP) was developed t
Externí odkaz:
https://doaj.org/article/42a116ba8d25497fb24e000bb69f976e
Autor:
Jinjin Liu, Chaofeng Li, Yan Sun, Chaohong Fu, Shuguang Wei, Xiaohua Zhang, Jie Ma, Qingxia Zhao, Yuqi Huo
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Although most people living with HIV (PLWH) receiving antiretroviral therapy (ART) achieve continuous viral suppression, some show detectable HIV RNA as low-level viremia (LLV) (50–999 copies/mL). Drug resistance mutations (DRMs) in PLWH w
Externí odkaz:
https://doaj.org/article/84eea56fdf9b492893918235ddb0472d
Autor:
Shuning DONG, Min FAN, Xiaoming GUO, Yingfeng LIU, Kang GUO, Zhongkui JI, Chaofeng LI, Xiaoyuan XUE
Publikováno v:
Meitan xuebao, Vol 49, Iss 2, Pp 902-916 (2024)
Shaanxi province is rich in coal resources and is one of the main coal-producing provinces in China, with a coal production of 746 million tons in 2022. Due to the obvious differences in geological and hydrogeological conditions in the coal mining ar
Externí odkaz:
https://doaj.org/article/014e3d20800c4abe9bd82403d8a0e01c
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Externí odkaz:
https://doaj.org/article/dbfcfbd2dca94fe9b5b3c2349499a1a6
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Isoflavonoids, the major secondary metabolites within the flavonoid biosynthetic pathway, play important roles in plant defense and exhibit free radical scavenging properties in mammals. Recent advancements in understanding the synthesis, transport,
Externí odkaz:
https://doaj.org/article/78ea5873ee624f0783f74b830b5139c2
Autor:
Xueyi Zheng, Bingzhong Jing, Zihan Zhao, Ruixuan Wang, Xinke Zhang, Haohua Chen, Shuyang Wu, Yan Sun, Jiangyu Zhang, Hongmei Wu, Dan Huang, Wenbiao Zhu, Jianning Chen, Qinghua Cao, Hong Zeng, Jinling Duan, Yuanliang Luo, Zhicheng Li, Wuhao Lin, Runcong Nie, Yishu Deng, Jingping Yun, Chaofeng Li, Dan Xie, Muyan Cai
Publikováno v:
iScience, Vol 27, Iss 3, Pp 109243- (2024)
Summary: Accurate tumor diagnosis by pathologists relies on identifying specific morphological characteristics. However, summarizing these unique morphological features in tumor classifications can be challenging. Although deep learning models have b
Externí odkaz:
https://doaj.org/article/98bab18ed8654461bee553d5ab97b2df