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    题名 作者 年代 出处 被引量
1Projection Pursuit Cluster Model Based on Genetic Algorithm and its Application in Karstic Water Pollution Evaluation 显示文摘Wang Shunjiu Zhang Xinli Yang Zhifeng 2006International Journal of Environment and Pollution2006,28,34:1
2Projection pursuit cluster model based on genetic algorithm and its application in Karstic water pollution evaluation显示文摘WANG Shunjiu ZHANG Xinli YANG Zhifeng 2006International Journal of Environment and Pollution2006,28,34:1
3Acute Thoracic Aortic Dissection (Stanford Type B) Complicated with Acute Renal Failure显示文摘Li Li ShunJiu Zhuang ShaoHong Qi JiaSheng Cui JunWen Zhou Huaqi Zhu Wan Zhang Ming Li Weiguo Fu M. Matson S. Yamashiro 2013Case Reports in Vascular Medicine2013,,:1
4Projection pursuit cluster model based on genetic algorithm and its application in karstic water pollution evaluation显示文摘 Zhang Xinli Yang Zhifeng 2006International Journal of Environment and Pollution2006,28,34:1
5Pro- jection pursuit cluster model based on genetic algorithm and its application in karstie water pollution evaluation 显示文摘Wang Shunjiu Zhang Xinli Yang Zhifeng 2006International Journal of Environment and Pollu- tion2006,28,34:1
6Projection pursuit cluster model based on genetic algorithm and its application in Karstic water pollution evaluation显示文摘Shunjiu Wang Xinli Zhang Zhifeng Yang 2006International Journal of Environment and Pollution2006,28,34:1
7Improvement of cloud microphysical parameterization and its advantages in simulating precipitation along the Sichuan-Xizang Railway显示文摘The Sichuan-Xizang Railway is an important part of the railway network in China, and geological disasters, such as mountain floods and landslides, frequently occur in this region. Precipitation is an important cause of these disasters;therefore,accurate simulation of the precipitation in this region is highly important. In this study, the descriptions for uncertain processes in the cloud microphysics scheme are improved;these processes include cloud droplet activation, cloud-rain autoconversion, rain accretion by cloud droplets, and the entrainment-mixing process. In the default scheme, the cloud water content of different sizes corresponds to the same cloud droplet concentration, which is inconsistent with the actual content;this results in excessive cloud droplet size, unreasonable related conversion rates of microphysical process(such as cloud-rain autoconversion), and an overestimation of precipitation. Our new scheme overcomes the problem of excessive cloud droplet size. The processes of cloudrain autoconversion and rain accretion by cloud droplets are similar to the stochastic collection equation, and the mixing mechanism of cloud droplets is more consistent with that occurred during the actual physical process in the cloud. Based on the new and old schemes, multiple precipitation processes in the flood season of 2021 along the Sichuan-Xizang Railway are simulated, and the results are evaluated using ground observations and satellite data. Compared to the default scheme, the new scheme is more suitable for the simulation of cloud physics, reducing the simulation deviation of the liquid water path and droplet radius from 2 times to less than 1 time and significantly alleviating the overestimation of precipitation intensity and range of precipitation center. The average root-mean-square error is reduced by 22%. Our results can provide a scientific reference for improving precipitation forecasting and disaster prevention in this region.Xiaoqi XU Zhiwei HENG Yueqing LI Shunjiu WANG Jian LI Yuan WANG Jinghua CHEN Peiwen ZHANG Chunsong LU 2024Science China Earth Sciences2024,67,3:0
8RCDS:a right-confirmable data-sharing model based on symbol mapping coding and blockchain显示文摘The problem of data right confirmation is a long-term bottleneck in data sharing.Existing methods for confirming data rights lack credibility owing to poor supervision,and work only with specific data types because of their technical limitations.The emergence of blockchain is followed by some new data-sharing models that may provide improved data security.However,few of these models perform well enough in confirming data rights because the data access could not be fully under the control of the blockchain facility.In view of this,we propose a right-confirmable data-sharing model named RCDS that features symbol mapping coding(SMC)and blockchain.With SMC,each party encodes its digital identity into the byte sequence of the shared data by generating a unique symbol mapping table,whereby declaration of data rights can be content-independent for any type and any volume of data.With blockchain,all data-sharing participants jointly supervise the delivery and the access to shared data,so that granting of data rights can be openly verified.The evaluation results show that RCDS is effective and practical in data-sharing applications that are conscientious about data right confirmation.Liang WANG Shunjiu HUANG Lina ZUO Jun LI Wenyuan LIU 2023Frontiers of Information Technology & Electronic Engineering2023,24,8:0
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