| 1 | Experimental Study on In-situ Leaching and Electrokinetic Remediation of Composite Heavy Metal-contaminated Soil显示文摘[Objectives] This study was conducted to investigate in-situ leaching and electrokinetic combined remediation of composite heavy metal-contaminated soil.[Methods] Leaching and electrokientic combined remediation was applied to remediate artificially-simulated composite Cd,Cu,Pb,and Zn-contaminated soil.The electrokinentic remediation of the soil was carried out using EDTA and acetic acid as the eluents with electrodes placed on the top and bottom of the soil,to investigate the effects of different types and concentrations of eluents,reaction time and energization methods on the remediation.[Results]Applying electrodynamic force to the leaching remediation process achieved good removal effects of Cd,Cu,Pb,and Zn in the soil.Compared with pure leaching,the leaching and electrokinetic combined remediation saved 23.8% of EDTA consumption.EDTA showed the ability to complex heavy metals better than acetic acid,and after 10 d of reaction,the 0.1 mol/L EDTA achieved very good removal effects on Cd,Cu,Pb,and Zn from the upper and middle layers of the soil column,exhibiting removal rates of 94.4%,93.3%,91.4% and 92.8% in the upper layer and 87.2%,88.2%,83.3% and 84.6%,respectively.Compared with the conventional experiments,the intermittent energization method and the voltage-increasing method improved the removal rates of Cd,Cu,Pb and Zn by 6.3%,6.1%,5.9%and 6%,and 0.6%,0.9%,0.5% and 0.4%,respectively,and saved 46.8% and 10.3% of energy consumption,respectively.[Conclusions]The study provides reference for the remediation of composite heavy metal-contaminated soil. | Hui HAN Juan ZHAI Anwei WANG Juan LI Chengdong XU Yushan WAN | 2020 | Agricultural Biotechnology2020，9，2： | 1 |
| 2 | Electron-ion collider in China显示文摘Lepton scattering is an established ideal tool for studying inner structure of small particles such as nucleons as well as nuclei.As a future high energy nuclear physics project,an Electron-ion collider in China(EicC)has been proposed.It will be constructed based on an upgraded heavy-ion accelerator,High Intensity heavy-ion Accelerator Facility(HIAF)which is currently under construction,together with a new electron ring.The proposed collider will provide highly polarized electrons(with a po-larization of 80%)and protons(with a polarization of 70%)with variable center of mass energies from 15 to 20 GeV and the luminosity of(2–3)×1033 cm^(−2)·s^(−1).Polarized deuterons and Helium-3,as well as unpolarized ion beams from Carbon to Uranium,will be also available at the EicC.The main foci of the EicC will be precision measurements of the structure of the nucleon in the sea quark region,including 3D tomography of nucleon;the partonic structure of nuclei and the parton interaction with the nuclear environment;the exotic states,especially those with heavy flavor quark contents.In addition,issues fundamental to understanding the origin of mass could be addressed by measurements of heavy quarkonia near-threshold production at the EicC.In order to achieve the above-mentioned physics goals,a hermetical detector system will be constructed with cutting-edge technologies.This document is the result of collective contributions and valuable inputs from experts across the globe.The EicC physics program complements the ongoing scientific programs at the Jefferson Laboratory and the future EIC project in the United States.The success of this project will also advance both nuclear and particle physics as well as accelerator and detector technology in China. | Daniele PAnderle Valerio Bertone Xu Cao Lei Chang Ningbo Chang Gu Chen Xurong Chen Zhuojun Chen Zhufang Cui Lingyun Dai Weitian Deng Minghui Ding Xu Feng Chang Gong Longcheng Gui Feng-Kun Guo Chengdong Han Jun He Tie-Jiun Hou Hongxia Huang Yin Huang KrešImir KumeričKi LPKaptari Demin Li Hengne Li Minxiang Li Xueqian Li Yutie Liang Zuotang Liang Chen Liu Chuan Liu Guoming Liu Jie Liu Liuming Liu Xiang Liu Tianbo Liu Xiaofeng Luo Zhun Lyu Boqiang Ma Fu Ma Jianping Ma Yugang Ma Lijun Mao Cédric Mezrag HervéMoutarde Jialun Ping Sixue Qin Hang Ren Craig DRoberts Juan Rojo Guodong Shen Chao Shi Qintao Song Hao Sun PawełSznajder Enke Wang Fan Wang Qian Wang Rong Wang Ruiru Wang Taofeng Wang Wei Wang Xiaoyu Wang Xiaoyun Wang Jiajun Wu Xinggang Wu Lei Xia Bowen Xiao Guoqing Xiao Ju-Jun Xie Yaping Xie Hongxi Xing Hushan Xu Nu Xu Shusheng Xu Mengshi Yan Wenbiao Yan Wencheng Yan Xinhu Yan Jiancheng Yang Yi-Bo Yang Zhi Yang Deliang Yao Zhihong Ye Peilin Yin C-PYuan Wenlong Zhan Jianhui Zhang Jinlong Zhang Pengming Zhang Yifei Zhang Chao-Hsi Chang Zhenyu Zhang Hongwei Zhao Kuang-Ta Chao Qiang Zhao Yuxiang Zhao Zhengguo Zhao Liang Zheng Jian Zhou Xiang Zhou Xiaorong Zhou Bingsong Zou Liping Zou | 2021 | Frontiers of physics2021，16，6： | 1 |
| 3 | Neural network equivalent model for highly efficient massive data classification显示文摘Dear editor,Recently,neural networks(NNs)have been successfully applied to massive data classification tasks[1,2].However,there is an inconsistent problem in neural network structure and convergence[3].On one hand,under the overparameterize assumption,it requires to design a complex network to guarantee the convergence[4].On the other hand,over-parameterization makes the neural networks flexible.Therefore,the networks are difficult to obtain the global optimal solution,and may lead to over-fitting[5]. | Siquan YU Zhi HAN Yandong TANG Chengdong WU | 2023 | Science China(Information Sciences)2023，66，3： | 0 |
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