Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Xiufeng J"'
Autor:
Shujian Wang, Xiangyang Li, Yanzheng Ti, Xiaoning Zhang, Tao Yin, Ruibing Wang, Xiufeng Jiang, Zhikai Su, Jianwen Hao
Publikováno v:
Frontiers in Earth Science, Vol 12 (2024)
The shakedown state of the subgrade is crucial for the sustainable design and long-term stability evaluation of pavement structures. In order to characterize the plastic deformation and shakedown behavior of subgrade soil in seasonal frozen regions,
Externí odkaz:
https://doaj.org/article/6c4c1e2694ff4cc9849e7f807c68443c
Autor:
Jianwen Hao, Hongguo Wang, Xiaoning Zhang, Tao Lin, Xiufeng Jiang, Congcong Liu, Xiangyang Li
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
A large-scale series of cyclic triaxial tests were conducted to explore the evolution of the dynamic resilient modulus of silty clay for the heavy-haul railway subgrade. A novel loading sequence for measuring the dynamic resilient modulus was establi
Externí odkaz:
https://doaj.org/article/2787436c5fe44e46bffc21a1cdd44772
Autor:
Weijie Zhong, Xiaosheng Yang, Xiufeng Jiang, Zhixin Duan, Wei Wang, Zhaoliang Sun, Wanghao Chen, Wenchuan Zhang, Jie Xu, Juan Cheng, Xiaoling Yuan, Yi Li
Publikováno v:
Frontiers in Public Health, Vol 10 (2023)
BackgroundThis study explores the risk factors associated with viral shedding time in elderly Chinese patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) omicron.MethodsParticipants infected with SARS-CoV-2 omicron wer
Externí odkaz:
https://doaj.org/article/ca839e77b27745e0b4b8ed94ee979f8e
Autor:
Weijie Zhong, Xiufeng Jiang, Xiaosheng Yang, Tiantong Feng, Zhixin Duan, Wei Wang, Zhaoliang Sun, Lingyan Chen, Xin Nie, Chuanlong Zhu, Wenchuan Zhang, Yi Li
Publikováno v:
Frontiers in Medicine, Vol 9 (2022)
ObjectiveTo evaluate the efficacy of Paxlovid in treating Chinese elder patients infected with SARS-CoV-2 omicron variants.Materials and methodsWe performed a non-randomized, controlled trial in Shanghai, China. Participants infected with SARS-CoV-2
Externí odkaz:
https://doaj.org/article/aefa5407801c4d3194409cb92cc6b30e
Autor:
Bo Jia, Hongtao Yang, Zechuan Zhang, Xinhua Qu, Xiufeng Jia, Qiang Wu, Yu Han, Yufeng Zheng, Kerong Dai
Publikováno v:
Bioactive Materials, Vol 6, Iss 6, Pp 1588-1604 (2021)
Bone defects are commonly caused by severe trauma, malignant tumors, or congenital diseases and remain among the toughest clinical problems faced by orthopedic surgeons, especially when of critical size. Biodegradable zinc-based metals have recently
Externí odkaz:
https://doaj.org/article/6830cfbbcceb49999ba48c777fb9be6c
Publikováno v:
Acta Pharmaceutica Sinica B, Vol 11, Iss 5, Pp 1341-1354 (2021)
Breast cancer brain metastases (BCBMs) are one of the most difficult malignancies to treat due to the intracranial location and multifocal growth. Chemotherapy and molecular targeted therapy are extremely ineffective for BCBMs due to the inept brain
Externí odkaz:
https://doaj.org/article/6d6b83714bc54307973c7d452b175667
Akademický článek
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Publikováno v:
IEEE Access, Vol 9, Pp 46325-46338 (2021)
Recently, video scene text detection has received increasing attention due to its comprehensive applications. However, the lack of annotated scene text video datasets has become one of the most important problems, which hinders the development of vid
Externí odkaz:
https://doaj.org/article/b1f7df94a49440c2bd6ebd850409abbd
Publikováno v:
IEEE Access, Vol 8, Pp 102106-102118 (2020)
Text detection/localization, as an important task in computer vision, has witnessed substantial advancements in methodology and performance with convolutional neural networks. However, the vast majority of popular methods use rectangles or quadrangle
Externí odkaz:
https://doaj.org/article/954d271c10154b0faae392deea9e9b21
Autor:
Luxi Sun, Jinjing Liu, Xiufeng Jin, Zhimian Wang, Lu Li, Wei Bai, Yunjiao Yang, Chanyuan Wu, Wei Chen, Shangdong Xu, Jun Zheng, Wenjie Zheng
Publikováno v:
Therapeutic Advances in Chronic Disease, Vol 12 (2021)
Background: To investigate the efficacy and safety of biologics in the perioperative management of severe aortic valve regurgitation (AR) caused by Behçet syndrome (BS). Methods: We retrospectively analyzed 20 patients with severe AR caused by BS wh
Externí odkaz:
https://doaj.org/article/bc94e221c9bc4924be5b97df2ae950aa