Zobrazeno 1 - 10
of 2 954
pro vyhledávání: '"LIU Xudong"'
Publikováno v:
Zhongguo cuzhong zazhi, Vol 19, Iss 1, Pp 105-111 (2024)
脑梗死是全球范围内致残率和致死率较高的疾病之一，大量研究表明，远端缺血预适应（remote ischemic preconditioning，RIPC）能够显著提高靶器官对缺血的耐受程度，减小梗死面积，改善患者预
Externí odkaz:
https://doaj.org/article/227598dd22cc41b8b3f95c04b2fb89d6
Autor:
He Chuanjie, Liu Xudong
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
The rapid development of the digital economy makes the center of gravity of enterprise development accelerate from the consumer field to the production and manufacturing field, penetrating all aspects of the daily operation and management of an enter
Externí odkaz:
https://doaj.org/article/49080cfb2c0d4ef8901d2e0a79ca09b6
Publikováno v:
Zhongliu Fangzhi Yanjiu, Vol 50, Iss 3, Pp 264-270 (2023)
Objective To investigate the predictive value of preoperative fibrinogen/albumin ratio (FAR) and systemic immune inflammation index (SII) on the postoperative prognosis of patients with pancreatic ductal adenocarcinoma. Methods An ROC curve was used
Externí odkaz:
https://doaj.org/article/31ab173938df47fdab62d7ece2e14fc7
Autor:
Liu Xudong, Zhang Shuyin
Publikováno v:
E3S Web of Conferences, Vol 528, p 03013 (2024)
Reducing carbon emissions has become a common goal in today's world for the protection of the environment, and the shipping industry, as an important force in the development of global trade, will be unavoidably involved in this conversion. This rese
Externí odkaz:
https://doaj.org/article/aa8ca5ce62874584a95dc93280b7a9c5
Autor:
TONG Hang, LI Tinghao, CAO Honghao, LIU Xudong, ZHU Junlong, QIN Zijia, YIN Siwen, HE Weiyang
Publikováno v:
Di-san junyi daxue xuebao, Vol 43, Iss 23, Pp 2532-2541 (2021)
Objective To explore the potential prognostic role and value of autophagy-related lncRNA risk prediction signature in patients with bladder cancer. Methods The transcriptome data and corresponding clinical data of patients with bladder cancer were ob
Externí odkaz:
https://doaj.org/article/64a99b62313944aabfa11edf33b99606
Autor:
LI Tinghao, TONG Hang, CAO Honghao, LIU Xudong, ZHU Junlong, QING Zijia, YIN Siwen, HE Weiyang
Publikováno v:
Di-san junyi daxue xuebao, Vol 43, Iss 23, Pp 2542-2551 (2021)
Objective To explore the changes of malignant proliferation of bladder cancer cells under starvation microenvironment and its possible mechanism. Methods Bladder cancer T24 cells were divided into 2 groups: the normal group was cultured normally, whi
Externí odkaz:
https://doaj.org/article/1ab68dccd24e4d1b8dde2070f5b907e0
Publikováno v:
Hangkong gongcheng jinzhan, Vol 12, Iss 3, Pp 161-170 (2021)
The process of folding and inflating the cylindrical airbag is complicated, and there are many inconveniences in using experimental methods to study its deployment process.Two different folding methods are proposed for the cylindrical airbag and the
Externí odkaz:
https://doaj.org/article/5b9a6853a0fe430e99e216e173ccf6b1
Publikováno v:
Open Medicine, Vol 16, Iss 1, Pp 264-273 (2021)
The purpose of this study was to clarify the value of intestinal fatty acid-binding protein (I-FABP) for the early diagnosis of strangulated intestinal obstruction through a meta-analysis.
Externí odkaz:
https://doaj.org/article/0d4afa78aaa34fdbaf6eff63c1772b60
Cross-lingual Cross-modal Retrieval (CCR) is an essential task in web search, which aims to break the barriers between modality and language simultaneously and achieves image-text retrieval in the multi-lingual scenario with a single model. In recent
Externí odkaz:
http://arxiv.org/abs/2406.18254
Autor:
Anastassiou, Philip, Chen, Jiawei, Chen, Jitong, Chen, Yuanzhe, Chen, Zhuo, Chen, Ziyi, Cong, Jian, Deng, Lelai, Ding, Chuang, Gao, Lu, Gong, Mingqing, Huang, Peisong, Huang, Qingqing, Huang, Zhiying, Huo, Yuanyuan, Jia, Dongya, Li, Chumin, Li, Feiya, Li, Hui, Li, Jiaxin, Li, Xiaoyang, Li, Xingxing, Liu, Lin, Liu, Shouda, Liu, Sichao, Liu, Xudong, Liu, Yuchen, Liu, Zhengxi, Lu, Lu, Pan, Junjie, Wang, Xin, Wang, Yuping, Wang, Yuxuan, Wei, Zhen, Wu, Jian, Yao, Chao, Yang, Yifeng, Yi, Yuanhao, Zhang, Junteng, Zhang, Qidi, Zhang, Shuo, Zhang, Wenjie, Zhang, Yang, Zhao, Zilin, Zhong, Dejian, Zhuang, Xiaobin
We introduce Seed-TTS, a family of large-scale autoregressive text-to-speech (TTS) models capable of generating speech that is virtually indistinguishable from human speech. Seed-TTS serves as a foundation model for speech generation and excels in sp
Externí odkaz:
http://arxiv.org/abs/2406.02430