Zobrazeno 1 - 10
of 794
pro vyhledávání: '"Shaohua XU"'
Publikováno v:
World Journal of Surgical Oncology, Vol 22, Iss 1, Pp 1-15 (2024)
Abstract Background Gallbladder and biliary tract cancer (GBTC) is a significant health burden in China, exacerbated by the rising prevalence of high body mass index (BMI). Understanding the trends and factors contributing to mortality and disability
Externí odkaz:
https://doaj.org/article/8af7f737a8df4bcd92d9e98d3d0be917
Publikováno v:
Complex & Intelligent Systems, Vol 11, Iss 1, Pp 1-19 (2024)
Abstract As a critical technology, anomaly detection ensures the smooth operation of cloud systems while maintaining the market competitiveness of cloud service providers. However, the resource data in real-world cloud systems is predominantly unanno
Externí odkaz:
https://doaj.org/article/6053aa3a9bb84cc283ac99a2664e6c2a
Autor:
Guozhang He, Yuanting Ni, Rong Hua, Huaibin Wan, Yanhui Tan, Qiwei Chen, Shaohua Xu, Yuzhong Yang, Lijun Zhang, Wei Shu, Ke-Bin Huang, Yi Mo, Hong Liang, Ming Chen
Publikováno v:
Cell Death and Disease, Vol 15, Iss 10, Pp 1-16 (2024)
Abstract Latexin (LXN) is abundant in macrophages and plays critical roles in inflammation. Much is known about macrophages in atherosclerosis, the role of macrophage LXN in atherosclerosis has remained elusive. Here, the expression of LXN in human a
Externí odkaz:
https://doaj.org/article/8751b8b27c404b2caa4353d9af3e894e
Publikováno v:
BMC Pediatrics, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Recently, the C3-epimer of 25-hydroxyvitamin D [C3-epi-25(OH)D] has become a topic of interest among 25-hydroxyvitamin D [25(OH)D] metabolites. Although it can lead to an overestimation of vitamin D storage, its relationship with
Externí odkaz:
https://doaj.org/article/680ecff6f8f94f7baa1c1898a9d3eb0c
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-19 (2024)
Abstract Load prediction tasks aim to predict the dynamic trend of future load based on historical performance sequences, which are crucial for cloud platforms to make timely and reasonable task scheduling. However, existing prediction models are lim
Externí odkaz:
https://doaj.org/article/ef97044f66df4e07981df4b436366c5e
Publikováno v:
Journal of Ovarian Research, Vol 17, Iss 1, Pp 1-19 (2024)
Abstract Background Ovarian clear cell carcinoma (OCCC) is a rare pathological histotype in ovarian cancer, while the survival rate of advanced OCCC (Stage III-IV) is substantially lower than that of the advanced serous ovarian cancer (OSC), which is
Externí odkaz:
https://doaj.org/article/57b2ef8099e64859aff77f0f8559e9c0
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-23 (2024)
Abstract Efficient allocation of tasks and resources is crucial for the performance of heterogeneous cloud computing platforms. To achieve harmony between task completion time, device power consumption, and load balance, we propose a Graph neural net
Externí odkaz:
https://doaj.org/article/45f87392e3d14021b38db598490127df
Publikováno v:
Cell Death and Disease, Vol 15, Iss 5, Pp 1-14 (2024)
Abstract CD24 is overexpressed in various tumours and considered a regulator of cell migration, invasion, and proliferation. Recent studies have found that CD24 on ovarian cancer (OC) and triple-negative breast cancer cells interacts with the inhibit
Externí odkaz:
https://doaj.org/article/302d01784d8840d0a2d79114b952934b
Autor:
Zhouwei Zhan, Bijuan Chen, Hui Cheng, Shaohua Xu, Chunping Huang, Sijing Zhou, Haiting Chen, Xuanping Lin, Ruyu Lin, Wanting Huang, Xiaohuan Ma, Yu Fu, Zhipeng Chen, Hanchen Zheng, Songchang Shi, Zengqing Guo, Lihui Zhang
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-14 (2024)
Abstract Objective The purpose of this study was to develop an individual survival prediction model based on multiple machine learning (ML) algorithms to predict survival probability for remnant gastric cancer (RGC). Methods Clinicopathologic data of
Externí odkaz:
https://doaj.org/article/693c8bf8eb3c44f490446b4d3407595a
Publikováno v:
mSystems, Vol 9, Iss 8 (2024)
ABSTRACT Modeling microbial metabolic dynamics is important for the rational optimization of both biosynthetic systems and industrial processes to facilitate green and efficient biomanufacturing. Classical approaches utilize explicit equation systems
Externí odkaz:
https://doaj.org/article/9178ede967a24e0a84a43f473719bee6