Zobrazeno 1 - 10
of 3 584
pro vyhledávání: '"Ping Tang"'
Autor:
Min Mao, Rui Feng, Nouman Ali Khan, Li Tao, Ping Tang, Yongpeng Zhao, Jie Chen, Xin Li, Hong Zhao, Qiuyue Shi, Ling Wang, Fengjie Lyu, Muhammad Arif Asghar, Yutian He, Jing Chang, Rui Xiang
Publikováno v:
BMC Surgery, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Objective This study aimed to assess the efficacy and safety of bilateral superselective adrenal arterial embolization (SAAE) in patients with bilateral idiopathic hyperaldosteronism (IHA), a subtype of PA. Methods Ninety-eight patients with
Externí odkaz:
https://doaj.org/article/95cdbff8277a451098f46b50913e4626
Publikováno v:
Journal of Medical Case Reports, Vol 18, Iss 1, Pp 1-6 (2024)
Abstract Background Fish bone ingestion is commonly encountered in emergency department. It poses a diagnostic and therapeutic challenge particularly when it migrates extraluminally, necessitating a comprehensive and multidisciplinary approach for su
Externí odkaz:
https://doaj.org/article/8f6135f248a342d08ce725a82eb860e8
Autor:
Hao-Ming Zhou, Xin-Yu Yang, Shi-Jun Yue, Wen-Xiao Wang, Qiao Zhang, Ding-Qiao Xu, Jia-Jia Li, Yu-Ping Tang
Publikováno v:
Artificial Cells, Nanomedicine, and Biotechnology, Vol 52, Iss 1, Pp 145-155 (2024)
AbstractAlthough the gut microbial metabolites exhibit potential effects on coronary heart disease (CHD), the underlying mechanism remains unclear. In this study, the active gut microbial metabolites acting on CHD and their potential mechanisms of ac
Externí odkaz:
https://doaj.org/article/f7d0f39d8c814848baed574882d4cbed
Autor:
Xiao-Hong Yu, Xin-Ru Li, Zhi-Run Du, Yu Zhang, Yang Fei, Wen-Ping Tang, Xian-Wen Li, Qing Zhao
Publikováno v:
BMC Medicine, Vol 22, Iss 1, Pp 1-14 (2024)
Abstract Background Non-pharmacological interventions have a myriad of available intervention options and contain multiple components. Whether specific components of non-pharmacological interventions or combinations are superior to others remains unc
Externí odkaz:
https://doaj.org/article/7bf86c9c10384a4a908cdeddd79a1037
Autor:
Dong-yue Wen, Jia-min Chen, Zhi-ping Tang, Jin-shu Pang, Qiong Qin, Lu Zhang, Yun He, Hong Yang
Publikováno v:
BioMedical Engineering OnLine, Vol 23, Iss 1, Pp 1-13 (2024)
Abstract Objectives This study was designed to explore and validate the value of different machine learning models based on ultrasound image-omics features in the preoperative diagnosis of lymph node metastasis in pancreatic cancer (PC). Methods This
Externí odkaz:
https://doaj.org/article/88221f9f8fd641c6bd846a4c5a29bbc0
Publikováno v:
Advances in Climate Change Research, Vol 15, Iss 2, Pp 230-243 (2024)
The Kherlen River is the main water source for Hulun Lake, the largest lake in northern China. Due to reduced inflow from the Kherlen River, Hulun Lake experienced rapid shrinkage at the beginning of the 21st century, posing a serious threat to the e
Externí odkaz:
https://doaj.org/article/94ac8f9577584a92895bcc1c60809327
The recently discovered ferroelectricity of van der Waals bilayers offers an unconventional route to improve the performance of devices. Key parameters such as switching field and speed depend on the static and dynamic properties of domain walls (DWs
Externí odkaz:
http://arxiv.org/abs/2212.14203
Autor:
Si-yan Yan, Xin-yu Fu, Shen-Ping Tang, Rong-bin Qi, Jia-wei Liang, Xin-li Mao, Li-ping Ye, Shao-wei Li
Publikováno v:
Digital Health, Vol 10 (2024)
Aim To optimize gastric cancer screening score and reduce screening costs using machine learning models. Methods This study included 228,634 patients from the Taizhou Gastric Cancer Screening Program. We used three machine learning models to optimize
Externí odkaz:
https://doaj.org/article/49208c08c1084ea9af75d4a5eca9975f
Publikováno v:
Frontiers in Pharmacology, Vol 15 (2024)
Berberine (BBR) is a natural alkaloid, which has played an important role in the field of medicine since its discovery in the late 19th century. However, the low availability of BBR in vivo prevents its full effect. In recent years, a large number of
Externí odkaz:
https://doaj.org/article/b444d710420e4c3281be001cecb62175