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| 1 | An eco-environmental friendly operation: An effective method to mitigate the harmful blooms in the tributary bays of Three Gorges Reservoir显示文摘Harmful algal blooms, which frequently occur in different tributaries, have become a serious water quality problem of the Three Gorges Reservoir (TGR) since its initial filling. A three-year monitoring campaign from 2008 to 2010 was conducted to identify the controlling factors of algal blooms and effective preventive measures. The following results were obtained: 1) Layered and bidirectional currents, called intrusive density currents, dominate the tributary bays of the TGR year round; 2) continuously increasing water level can make the intruding density current shift from the middle to the surface, and surface intrusive water can reduce the surface water temperature and break the stable stratification of the tributary; 3) the appearing or fading away of algal blooms is closely associated with fluctuations in the TGR water level. Thus, the water level fluctuation patterns of different 'tide-types' may prevent the occurrence of algal blooms in the spring and summer, and the 'stair-type' tides may control autumn blooms during the impounding period. These methods were feasible and effective throughout the actual TGR's operation in 2009 2011. These patterns formed an eco-environmentally friendly operation (EEFO) to mitigate algal blooms. As an in situ treatment with easier operation and less negative impact and loss, compared with chemical and filter-feeding fish methods, the EEFO is currently considered as the most feasible remedial measure to remit the eco-environmental problems at the Three Gorges Dam (TGD). | YANG ZhengJian LIU DeFu JI DaoBin XIAO ShangBin HUANG YuLing MA Jun | 2013 | Science China(Technological Sciences)2013，56，6： | 14 |
| 2 | Hybrid Method Based on Information Gain and Support Vector Machine for Gene Selection in Cancer Classi?cation显示文摘It remains a great challenge to achieve suf?cient cancer classi?cation accuracy with the entire set of genes, due to the high dimensions, small sample size, and big noise of gene expression data. We thus proposed a hybrid gene selection method, Information Gain-Support Vector Machine(IG-SVM) in this study. IG was initially employed to ?lter irrelevant and redundant genes. Then,further removal of redundant genes was performed using SVM to eliminate the noise in the datasets more effectively. Finally, the informative genes selected by IG-SVM served as the input for the LIBSVM classi?er. Compared to other related algorithms, IG-SVM showed the highest classi?cation accuracy and superior performance as evaluated using ?ve cancer gene expression datasets based on a few selected genes. As an example, IG-SVM achieved a classi?cation accuracy of 90.32% for colon cancer, which is dif?cult to be accurately classi?ed, only based on three genes including CSRP1, MYL9, and GUCA2B. | Lingyun Gao Mingquan Ye Xiaojie Lu Daobin Huang | 2017 | Genomics, Proteomics & Bioinformatics2017，15，6： | 3 |
| 3 | 2021 Chinese consensus on the diagnosis and management of primary immune thrombocytopenia in pregnancy显示文摘Immune thrombocytopenia(ITP)is an acquired disease characterized by isolated thrombocytopenia,which is one of the most common causes of thrombocytopenia during pregnancy.Women with ITP who have severe thrombocytopenia are at an increased risk for life-threatening obstetric complications.Therefore,we established this consensus statement on the diagnosis and management of ITP during pregnancy(detailed information is available in the Supplementary File,http://gffzz16e312a87a7141a5hf9f6bx65noqp69wb.ffgz.tsg.suse.edu.cn/A978). | Zhang Xiaohui Chen Fangping Chen Xiequn Cheng Yunfeng Fang Meiyun Feng Jianming Fu Haixia Gao Hong Han Yue He Aili Hou Ming Hu Yu Huang Ruibin Huang Wenrong Jing Zhicheng Kong Peiyan Liang Aibin Liang Meiying Liu Daihong Liu Junling Liu Lin Liu Xiaowei Ma Liangming Mei Heng Ni Heyu Niu Ting Peng Jun Qiao Jianlin Ren Jinhai Song Yongping Tang Liang V Tong Tong Wang Shaoyuan Wang Xin Wang Zhao Wei Hui Wu Depei Wu Guangsheng Xu Caigang Xu Xue Xu Yajing Yang Linhua Yang Renchi Yang Tonghua Yin Chenghong Yu Li Zhang Guangsen Zhang Lei Zhang Liansheng Zhang Xi Zhao Weili Zhao Yongqiang Zhou Daobin Zhou Hu Zhou Zeping Zhu Tienan Wang Jianliu Huang Xiaojun | 2022 | Chinese Medical Journal2022，，8： | 2 |
| 4 | Clinical characteristics and long-term outcome of patients with POEMS syndrome in China显示文摘 | Li Jian Zhou Daobin Huang Zhen | | 0，，07： | 1 |
| 5 | A novel composite with highly dispersed Fe3 04 nanocrystals on ordered mesoporous carbon as an anode for lithium ion batteries 显示文摘 | Wu Feng Huang Rong Mu Daobin | 2014 | Journal of Alloys and Compounds2014，585，： | 1 |
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