Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Zikang He"'
Publikováno v:
Remote Sensing, Vol 16, Iss 21, p 4072 (2024)
This study investigates and evaluates methods for the three-dimensional thermohaline reconstruction of the Arctic Ocean using multi-source observational data. A multivariate statistical regression model based on sea ice seasonal variation is develope
Externí odkaz:
https://doaj.org/article/8c427a34da4d4027ab7627e5d8725f27
Autor:
Zikang He, Hongfeng Liu, Huilin Guan, Jinli Ji, Ying Jiang, Naiwen Zhang, Zheyao Song, Xingyun Wang, Ping Shen, Huan Wang, Rongjun Cui
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
Digestive system pan-cancer is a general term for digestive system tumors including colorectal carcinoma (CRC), esophageal carcinoma (ESCA), stomach adenocarcinoma (STAD), and liver hepatocellular carcinoma (LIHC). Since the anatomical location, func
Externí odkaz:
https://doaj.org/article/809cbd7a51ca42a39febff4c460eb899
Autor:
Zikang He, Xiaojin Wang, Zhiming Yang, Ying Jiang, Luhui Li, Xingyun Wang, Zheyao Song, Xiuli Wang, Jiahui Wan, Shijun Jiang, Naiwen Zhang, Rongjun Cui
Publikováno v:
PeerJ, Vol 9, p e12114 (2021)
Cervical cancer is one of the most common malignant tumors in women, and its morbidity and mortality are increasing year by year worldwide. Therefore, an urgent and challenging task is to identify potential biomarkers for cervical cancer. This study
Externí odkaz:
https://doaj.org/article/e9e9cff6a6d04c33ac59810ef2e15672
Autor:
Jiahui Wan, Shijun Jiang, Ying Jiang, Wei Ma, Xiuli Wang, Zikang He, Xiaojin Wang, Rongjun Cui
Publikováno v:
Frontiers in Genetics, Vol 11 (2020)
Externí odkaz:
https://doaj.org/article/028c87d8c2de4432a252d20a5c9fbb2b
Autor:
Jiahui Wan, Shijun Jiang, Ying Jiang, Wei Ma, Xiuli Wang, Zikang He, Xiaojin Wang, Rongjun Cui
Publikováno v:
Frontiers in Genetics, Vol 10 (2020)
Long noncoding RNAs (lncRNAs) play important roles in the regulation of gene expression by acting as competing endogenous RNAs (ceRNAs). However, the roles of lncRNA-associated ceRNAs in oncogenesis are not fully understood. The present study aims to
Externí odkaz:
https://doaj.org/article/1e8dfbb765cf4a81ac7af5e48bd20af1
Publikováno v:
Environmental Research Letters, Vol 15, Iss 9, p 094028 (2020)
This study explores the variability of tropical cyclone (TC) intensification rates (IRs) in the postmonsoon Bay of Bengal (BoB) for the satellite period of 1980–2015. It is found that both number of rapid intensification (RI) events and magnitude o
Externí odkaz:
https://doaj.org/article/ebeee9e6ca874136895f2870a585a1ef
Autor:
SHI QI, JILI ZHANG, XINBO LUAN, JUNLIN LI, ZIKANG HE, JUNRU LONG, MENGYUN XU, PING LI, ZEPENG CHEN, JIANYU WEI, JIAN YAN
Publikováno v:
Polish Journal of Microbiology. 72:47-60
For decades chlorine dioxide has been used in water disinfection with excellent results. As the scope of application expands, chlorine dioxide has the potential for soil disinfection. We used amplicon sequencing and gas chromatography-mass spectromet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::38ac7c1824555b9028f77c7eed82c04d
https://doi.org/10.33073/pjm-2023-009
https://doi.org/10.33073/pjm-2023-009
Dynamical models used in climate prediction often have systematic errors that can bias the predictions. In this study, we utilized machine learning to address this issue. Machine learning was applied to learn the error corrected by data assimilation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9d4cd7b6c18656be90f7779d595e6eb2
https://doi.org/10.5194/egusphere-egu23-3321
https://doi.org/10.5194/egusphere-egu23-3321
Dynamical models used in climate prediction often have systematic errors that can deteriorate predictions. In this study, we work in a twin experiment framework with a reduced-order coupled ocean-atmosphere model and aim to demonstrate the benefit of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c47d7b0e3217a92665061b61cf0f08e9
https://doi.org/10.22541/essoar.167898499.91486328/v1
https://doi.org/10.22541/essoar.167898499.91486328/v1