Zobrazeno 1 - 10
of 937
pro vyhledávání: '"Zhe Zhu"'
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:
Yunzhi Zou, Xiaoqiong Bao, Depei Li, Zhen Ye, Rong Xiang, Yuanzhong Yang, Zhe Zhu, Ziming Chen, Lingxing Zeng, Chunling Xue, Hongzhe Zhao, Boyuan Yao, Qilin Zhang, Zeming Yan, Zekun Deng, Jintong Cheng, Guanghao Yue, Wanming Hu, Jixiang Zhao, Ruihong Bai, Zhenhua Zhang, Aiqun Liu, Jialiang Zhang, Zhixiang Zuo, Xiaobing Jiang
Publikováno v:
Molecular Cancer, Vol 23, Iss 1, Pp 1-20 (2024)
Abstract Background Growth hormone-secreting pituitary neuroendocrine tumors can be pathologically classified into densely granulated (DGGH) and sparsely granulated types (SGGH). SGGH is more aggressive and associated with a poorer prognosis. While e
Externí odkaz:
https://doaj.org/article/dba979e7b2f845f7ac1ce87c6d9634f3
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:
Frontiers in Oncology, Vol 14 (2024)
Prostate cancer is a malignant tumor caused by the malignant proliferation of epithelial cells, which is highly heterogeneous and drug-resistant, and neuroendocrine prostate cancer (NEPC) is an essential cause of drug resistance in its late stage. El
Externí odkaz:
https://doaj.org/article/9306f1e5a6ad4af896c3f9f41cb99ca8
Publikováno v:
Journal of Cardiothoracic Surgery, Vol 19, Iss 1, Pp 1-7 (2024)
Abstract Background This study aimed to elucidate the methodology and assess the efficacy of the aortic arch inclusion technique using an artificial blood vessel in managing acute type A aortic dissection (ATAAD). Methods We conducted a retrospective
Externí odkaz:
https://doaj.org/article/4f2c0a0f26a344b18a7f4a92ac75e24e
Genomic investigation and nationwide tracking of pediatric invasive nontyphoidal Salmonella in China
Autor:
Yefang Ke, Lin Teng, Zhe Zhu, Wenbo Lu, Wenyuan Liu, Haiyang Zhou, Qi Yu, Lina Ye, Pan Zhu, Guoping Zhao, Min Yue
Publikováno v:
mLife, Vol 3, Iss 1, Pp 156-160 (2024)
Externí odkaz:
https://doaj.org/article/8a3a72a9d7cf4a0cbfdb39482ba18bfc
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Urban green space is a direct way to improve the carbon sink capacity of urban ecosystems. The carbon storage assessment of megacity green spaces is of great significance to the service function of urban ecosystems and the management of urba
Externí odkaz:
https://doaj.org/article/e1761f200cce458f94a892e0f0035c98
Publikováno v:
Heliyon, Vol 10, Iss 15, Pp e35535- (2024)
The determination of the critical sliding surface is a crucial aspect of slope stability analysis. In reality, the environment in which slopes are located is often very complex, and the sliding surfaces have different shapes. Therefore, a three-dimen
Externí odkaz:
https://doaj.org/article/db90ca9699b44846a29fd2fd0f6ac4c5
Autor:
Shao-shuo Yu, Zhe Zhu, He Fang, Yao-nan Jiang, Chen-qi Tang, Ying Shi, Lan-xia Gan, Hong-tai Tang, Hai-bo Wang, Yu Sun, Zhao-fan Xia
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract The overall picture of degloving skin and soft tissue injuries (DSTI) remains a blank space in China. Therefore, a retrospective study was designed to summarize the current situation of this injury. Patients diagnosed with DSTI hospitalized
Externí odkaz:
https://doaj.org/article/9fd60373b50747a4822ca7c953a064ce
Autor:
Radost Stanimirova, Katelyn Tarrio, Konrad Turlej, Kristina McAvoy, Sophia Stonebrook, Kai-Ting Hu, Paulo Arévalo, Eric L. Bullock, Yingtong Zhang, Curtis E. Woodcock, Pontus Olofsson, Zhe Zhu, Christopher P. Barber, Carlos M. Souza, Shijuan Chen, Jonathan A. Wang, Foster Mensah, Marco Calderón-Loor, Michalis Hadjikakou, Brett A. Bryan, Jordan Graesser, Dereje L. Beyene, Brian Mutasha, Sylvester Siame, Abel Siampale, Mark A. Friedl
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-12 (2023)
Abstract State-of-the-art cloud computing platforms such as Google Earth Engine (GEE) enable regional-to-global land cover and land cover change mapping with machine learning algorithms. However, collection of high-quality training data, which is nec
Externí odkaz:
https://doaj.org/article/2ba0fa4cdc50455882ee655169fea1c6