Zobrazeno 1 - 10
of 18 497
pro vyhledávání: '"Ziming An"'
Autor:
Siting Gao, Ziming An, Qian Zhang, Qinmei Sun, Qian Huang, Lei Shi, Wei Liu, Xiaojun Gou, Yajuan Li, Xin Xin, Qin Feng
Publikováno v:
Heliyon, Vol 10, Iss 14, Pp e34213- (2024)
Background: Non-alcoholic steatohepatitis (NASH), an escalating global health concern, is a primary factor behind cirrhosis, liver transplantation, and hepatocellular carcinoma. Effective treatments remain elusive. Danggui-Shaoyao-San (DGSY), a class
Externí odkaz:
https://doaj.org/article/b83de260d61b425da48519b537fb1f04
Publikováno v:
Nutrition & Metabolism, Vol 20, Iss 1, Pp 1-12 (2023)
Abstract Non-alcoholic fatty liver disease (NAFLD) is a chronic progressive disease that can progress to non-alcoholic steatohepatitis (NASH). Animal models are important tools for basic NASH research. Immune activation plays a key role in liver infl
Externí odkaz:
https://doaj.org/article/3b153db4763c41cdbae2fff02f3a082d
Autor:
Qian Huang, Ziming An, Xin Xin, Qinmei Sun, Siting Gao, Sheng Lv, Xiao Xu, Shuohui Yang, Fang Lu, Jie Yuan, Yu Zhao, Yiyang Hu, Ping Liu, Qin Feng
Publikováno v:
BMC Complementary Medicine and Therapies, Vol 23, Iss 1, Pp 1-8 (2023)
Abstract Background The incidence of non-alcoholic fatty liver disease (NAFLD) has been on the rise in recent years, and there are no effective drugs to treat NAFLD; therefore, effective prevention and treatment of NAFLD have become a new challenge.
Externí odkaz:
https://doaj.org/article/6b46eb45c97e48b2a4dc279979b42abf
Publikováno v:
Pharmaceutical Biology, Vol 60, Iss 1, Pp 2124-2133 (2022)
Context Qushi Huayu decoction (QHD) has been clinically used for treating non-alcoholic steatohepatits (NASH). However, little is known about the effect of QHD on fatty acid β-oxidation (FAO)-dependent lipid consumption.Objective To investigate the
Externí odkaz:
https://doaj.org/article/7325fc3a656f42d48b71a0c742679289
Autor:
Ziming An, Qiaohong Liu, Wenli Zeng, Yan Wang, Qian Zhang, Huafu Pei, Xin Xin, Shuohui Yang, Fang Lu, Yu Zhao, Yiyang Hu, Qin Feng
Publikováno v:
Hepatology Communications, Vol 6, Iss 8, Pp 1975-1986 (2022)
Abstract We used cross‐sectional and longitudinal studies to comprehensively compare hepatic steatosis measurements obtained with magnetic resonance imaging–proton density fat fraction (MRI‐PDFF) and controlled attenuated parameter (CAP) in hep
Externí odkaz:
https://doaj.org/article/d7a0a106011047719987756091095307
Autor:
Mao, Ziming, Xia, Tian, Wu, Zhanghao, Chiang, Wei-Lin, Griggs, Tyler, Bhardwaj, Romil, Yang, Zongheng, Shenker, Scott, Stoica, Ion
Recent years have witnessed an explosive growth of AI models. The high cost of hosting AI services on GPUs and their demanding service requirements, make it timely and challenging to lower service costs and guarantee service quality. While spot insta
Externí odkaz:
http://arxiv.org/abs/2411.01438
Point cloud data now are popular data representations in a number of three-dimensional (3D) vision research realms. However, due to the limited performance of sensors and sensing noise, the raw data usually suffer from sparsity, noise, and incomplete
Externí odkaz:
http://arxiv.org/abs/2411.00857
Autor:
Lin, Ziming, Han, Fang
In a landmark paper, Abadie and Imbens (2008) showed that the naive bootstrap is inconsistent when applied to nearest neighbor matching estimators of the average treatment effect with a fixed number of matches. Since then, this finding has inspired n
Externí odkaz:
http://arxiv.org/abs/2410.23525
Terahertz (THz) integrated sensing and communication (ISAC) technology is envisioned to achieve high communication performance alongside advanced sensing abilities. For various applications of ISAC, accurate environment reconstruction including geome
Externí odkaz:
http://arxiv.org/abs/2410.22852
Autor:
Li, Ziming, Zang, Qianbo, Ma, David, Guo, Jiawei, Zheng, Tuney, Liu, Minghao, Niu, Xinyao, Wang, Yue, Yang, Jian, Liu, Jiaheng, Zhong, Wanjun, Zhou, Wangchunshu, Huang, Wenhao, Zhang, Ge
Data science tasks involving tabular data present complex challenges that require sophisticated problem-solving approaches. We propose AutoKaggle, a powerful and user-centric framework that assists data scientists in completing daily data pipelines t
Externí odkaz:
http://arxiv.org/abs/2410.20424