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智能电网中的电网调度技术应用研究
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作者 李林青 芮安 《电力设备管理》 2024年第12期32-34,共3页
本文探索电网调度技术在智能电网中的应用,并通过具体案例展示其解决问题的方法和效果,分析实施后的电网调度效果包括能源稳定性、经济性和环境友好性方面的改善。针对技术应用中的关键问题和挑战,讨论了数据管理与通信安全、大规模系... 本文探索电网调度技术在智能电网中的应用,并通过具体案例展示其解决问题的方法和效果,分析实施后的电网调度效果包括能源稳定性、经济性和环境友好性方面的改善。针对技术应用中的关键问题和挑战,讨论了数据管理与通信安全、大规模系统优化与协调,自适应控制与动态响应能力等方面的挑战。 展开更多
关键词 智能电网 电网调度技术 分布式能源系统 优化与集成
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Investigation of the mechanical and ballistic properties of hybrid carbon/aramid woven laminates 被引量:3
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作者 Jia-wei Bao Yang-wei Wang +2 位作者 rui an Huan-wu Cheng Fu-chi Wang 《Defence Technology(防务技术)》 SCIE EI CAS CSCD 2022年第10期1822-1833,共12页
High-performance ballistic fibers,such as aramid fiber and ultra-high-molecular-weight polyethylene(UHMWPE),are commonly used in anti-ballistic structures due to their low density,high tensile strength and high specif... High-performance ballistic fibers,such as aramid fiber and ultra-high-molecular-weight polyethylene(UHMWPE),are commonly used in anti-ballistic structures due to their low density,high tensile strength and high specific modulus.However,their low modulus in the thickness direction and insufficient shear strength limits their application in certain ballistic structure.In contrast,carbon fiber reinforced epoxy resin matrix composites(CFRP)have the characteristics of high modulus in the thickness direction and high shear resistance.However,carbon fibers are rarely used and applied for protection purposes.A hybridization with aramid fiber reinforced epoxy resin matrix composites(AFRP)and CFRP has the potential to improve the stiffness and the ballistic property of the typical ballistic fiber composites.The hybrid effects on the flexural property and ballistic performance of the hybrid CFRP/AFRP laminates were investigated.Through conducting mechanical property tests and ballistic tests,two sets of reliable simulation parameters for AFRP and CFRP were established using LS-DYNA software,respectively.The experimental results suggested that by increasing the content of CFRP that the flexural properties of hybrid CFRP/AFRP laminates were enhanced.The ballistic tests'results and the simulation illustrated that the specific energy absorption by the perforation method of CFRP achieved 77.7%of AFRP.When CFRP was on the striking face,the shear resistance of the laminates and the resistance force to the projectiles was promoted at the initial penetration stage.The proportion of fiber tensile failures in the AFRP layers was also enhanced with the addition of CFRP during the penetration process.These improvements resulted in the ballistic performance of hybrid CFRP/AFRP laminates was better than AFRP when the CFRP content was 20 wt%and 30 wt%. 展开更多
关键词 Carbon fiber Aramid fiber Hybrid composites LS-DYNA Numerical simulation
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Effects of adding sodium dichloroacetate to low-protein diets on nitrogen balance and amino acid metabolism in the portaldrained viscera and liver of pigs 被引量:2
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作者 Weizhong Sun Yunxia Li +5 位作者 Zhiru Tang Huiyuan Chen Ke Wan rui an Liuting Wu Zhihong Sun 《Journal of Animal Science and Biotechnology》 CAS CSCD 2020年第3期884-895,共12页
Background:Identifying regulatory measures to promote glucose oxidative metabolism while simultaneously reducing amino acid oxidative metabolism is one of the foremost challenges in formulating low-protein(LP)diets de... Background:Identifying regulatory measures to promote glucose oxidative metabolism while simultaneously reducing amino acid oxidative metabolism is one of the foremost challenges in formulating low-protein(LP)diets designed to reduce the excretion of nitrogen-containing substances known to be potential pollutants.In this study,we investigated the effects of adding sodium dichloroacetate(DCA)to a LP diet on nitrogen balance and amino acid metabolism in the portal-drained viscera(PDV)and liver of pigs.To measure nitrogen balance,18 barrows(40±1.0 kg)were fed one of three diets(n=6 per group):18%crude protein(CP,control),13.5%CP(LP),and 13.5%CP+100 mg DCA/kg dry matter(LP-DCA).To measure amino acid metabolism in the PDV and liver,15 barrows(40±1.0 kg)were randomly assigned to one of the three diets(n=5 per group).Four essential amino acids(Lys,Met,Thr,and Trp)were added to the LP diets such that these had amino acid levels comparable to those of the control diet.Results:The LP-DCA diet reduced nitrogen excretion in pigs relative to that of pigs fed the control diet(P<0.05),without any negative effects on nitrogen retention(P>0.05).There were no differences between the control and LP-DCA groups with respect to amino acid supply to the liver and extra-hepatic tissues in pigs(P>0.05).The net release of ammonia into the portal vein and production rate of urea in the liver of pigs fed the LP-DCA diet was reduced relative to that of pigs fed the control and LP diets(P<0.05).Conclusion:The results indicated that addition of DCA to a LP diet can efficiently reduce nitrogen excretion in pigs and maximize the supply of amino acids to the liver and extra-hepatic tissues. 展开更多
关键词 Amino acid metabolism Low-protein diet Nitrogen excretion PIG Sodium dichloroacetate
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Correlation between special brain area and blood perfusion in patients with cerebral infarction at convalescent period Feasibility for quantitative determination and estimation of learning and memory function
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作者 Lingbin Kong rui an Zhiyin Yang 《Neural Regeneration Research》 SCIE CAS CSCD 2007年第8期461-465,共5页
BACKGROUND: Presently, clinic memory scale is used to evaluate learning memory ability in most studies, and the influence of difference in measurement condition of individuals exists. OBJECTIVE: To study the correla... BACKGROUND: Presently, clinic memory scale is used to evaluate learning memory ability in most studies, and the influence of difference in measurement condition of individuals exists. OBJECTIVE: To study the correlation between regional cerebral blood flow (rCBF) perfusion and learning memory function in special brain regions of patients with cerebral infarction at convalescent period, and to try to find out a method which can quantitatively evaluate learning ability. DESIGN: Case observation, and correlation analysis. SETTINGS: Shandong Institute for Behavioral Medicine; the Affiliated Hospital of Jining Medical College. PARTICIPANTS: Totally 70 patients with cerebral infarction admitted to Department of Neurology, Jining Medical College between January 2004 and December 2005 were involved. The involved patients, 58 male and 12 female, were averaged (52±3) years, and they were all right handed. They all met the diagnosis criteria instituted by the Fourth National Conference on Cerebrovascular Disease, and were confirmed as cerebral infarction by skull CT or MRI. Informed consents of detected items were obtained from all the patients and relatives. METHODS: When the patients were at convalescent period, their learning and memory ability were measured with “ clinic memory scale (set A)”. The 18 patients whose total mark over 100 were regarded as good learning memory function group; The 23 cases whose total mark less than 70 were regarded as poor learning memory function group. RCBF of hippocampus, nucleus amygdalae, temporal cortex and prefrontal lobe of patients between two groups were measured and compared by single photon emission computed tomography (SPECT). The total scores of the 18 good learning memory patients and 23 poor learning memory patients were taken as dependent variable Y, and their rCBFs of hippocampus, nucleus amygdale, temporal cortex and prefrontal lobe respectively as independent variable X for linear correlation analysis. MAIN OUTCOME MEASURES: Correlation of rCBF in different brain regions and learning memory ability in patients with cerebral infarction. RESULTS: ①The rCBF of hippocampus, nucleus amygdale, temportal cortex and prefrontal cortex of good learning memory function group were significantly higher than those of poor learning memory function group (P 〈 0.05). ②In the good learning memory function group, rCBF of hippocampus, nucleus amygdale, temportal cortex and prefrontal cortex were significantly positively correlated with memory scale scores ( r = 0.961, 0.926, 0.954, 0.907, P 〈 0.05 ) , and also in the poor learning memory function group (r = 0.979, 0.976, 0.991, 0.953, P 〈 0.05 ) . CONCLUSION: The rCBF of hippocampus, nucleus amygdale, temportal cortex and prefrontal cortex of patients with cerebral infarction are significantly positively correlated with memory scale scores. Predicting learning memory ability of patients by quantitative determination of rCBF provides a quantitative and objective method for evaluating learning memory ability. 展开更多
关键词 HIPPOCAMPUS nucleus amygdale temporal cortex prefrontal lobe regional cerebral blood flow learning memory function RELATIVITY
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水溶液中三氯生的吸附研究进展 被引量:1
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作者 安瑞 赵庆 《日用化学工业(中英文)》 CAS 北大核心 2023年第8期945-953,共9页
三氯生(TCS)作为一种抗菌剂,在药品与个人护理产品中有着广泛的应用,已成为水环境中一种普遍存在的污染物。因其具有生物积累性、内分泌干扰效应、生殖毒性等危害,且已被证实可为某些毒性更大物质的前体,故水体中TCS的无害化处理引起了... 三氯生(TCS)作为一种抗菌剂,在药品与个人护理产品中有着广泛的应用,已成为水环境中一种普遍存在的污染物。因其具有生物积累性、内分泌干扰效应、生殖毒性等危害,且已被证实可为某些毒性更大物质的前体,故水体中TCS的无害化处理引起了广泛关注,吸附处理法去除水中的TCS具有简单、绿色、高效等优势。文章总结了不同类型吸附剂对TCS的吸附效果,分析了水体的部分参数对吸附过程可能的影响,并对吸附过程的动力学及热力学方面进行了讨论,最后对TCS吸附处理的研究方向做出了展望。总体而言,绿色、低成本、可再生吸附剂的开发应用是研究重要方向,吸附剂的改性与复合是提高吸附效果的有效方式,为了更好地应用于实际环境中TCS的处理,TCS的吸附机理及环境因素的影响机制尚需进一步研究。 展开更多
关键词 三氯生 吸附剂 吸附机理 影响因素 研究进展
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Unravel the spatio-temporal patterns and their nonlinear relationship with correlates of dockless shared bikes near metro stations 被引量:1
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作者 Zhaomin Tong Yi Zhu +3 位作者 Ziyi Zhang rui an Yaolin Liu Meng Zheng 《Geo-Spatial Information Science》 SCIE EI CSCD 2023年第3期577-598,共22页
The dockless bike-sharing system has rapidly expanded worldwide and has been widely used as an intermodal transport to connect with public transportation.However,higher flexibility may cause an imbalance between suppl... The dockless bike-sharing system has rapidly expanded worldwide and has been widely used as an intermodal transport to connect with public transportation.However,higher flexibility may cause an imbalance between supply and demand during daily operation,especially around the metro stations.A stable and efficient rebalancing model requires spatio-temporal usage patterns as fundamental inputs.Therefore,understanding the spatio-temporal patterns and correlates is important for optimizing and rescheduling bike-sharing systems.This study proposed a dynamic time warping distance-based two-dimensional clustering method to quantify spatio-temporal patterns of dockless shared bikes in Wuhan and further applied the multiclass explainable boosting machine to explore the main related factors of these patterns.The results found six patterns on weekdays and four patterns on weekends.Three patterns show the imbalance of arrival and departure flow in the morning and evening peak hours,while these phenomena become less intensive on weekends.Road density,living service facility density and residential density are the top influencing factors on both weekdays and weekends,which means that the comprehensive impact of built-up environment attraction,facility suitability and riding demand leads to the different usage patterns.The nonlinear influence universally exists,and the probability of a certain pattern varies in different value ranges of variables.When the densities of living facilities and roads are moderate and the relationship between job and housing is relatively balanced,it can effectively promote the balanced usage of dockless shared bikes while maintaining high riding flow.The spatio-temporal patterns can identify the associated problems such as imbalance or lack of users,which could be mitigated by corresponding solutions.The relative importance and nonlinear effects help planners prioritize strategies and identify effective ranges on different patterns to promote the usage and efficiency of the bike-sharing system. 展开更多
关键词 Dockless shared bikes spatio-temporal patterns machine learning transit oriented development
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Bi-level Multi-leader Multi-follower Stackelberg Game Model for Multi-energy Retail Package Optimization 被引量:1
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作者 Hongjun Gao Hongjin Pan +4 位作者 rui an Hao Xiao Yanhong Yang Shuaijia He Junyong Liu 《Journal of Modern Power Systems and Clean Energy》 SCIE EI CSCD 2024年第1期225-237,共13页
In the competitive energy market,energy retailers are facing the uncertainties of both energy price and demand,which requires them to formulate reasonable energy purchasing and selling strategies for improving their c... In the competitive energy market,energy retailers are facing the uncertainties of both energy price and demand,which requires them to formulate reasonable energy purchasing and selling strategies for improving their competitiveness in this market.Particularly,the attractive multi-energy retail packages are the key for retailers to increase their benefit.Therefore,combined with incentive means and price signals,five types of multi-energy retail packages such as peak-valley time-of-use(TOU)price package and day-night bundled price package are designed in this paper for retailers.The iterative interactions between retailers and end-users are modeled using a bi-level model of stochastic optimization based on multi-leader multi-follower(MLMF)Stackelberg game,in which retailers are leaders and end-users are followers.Retailers make decisions to maximize the profit considering the conditional value at risk(CVaR)while end-users optimize the satisfaction of both energy comfort and economy.Besides,a distributed algorithm is proposed to obtain the Nash equilibrium of above MLMF Stackelberg game model while the particle swarm optimization(PSO)algorithm and CPLEX solver are applied to solve the optimization model for each participant(retailer or end-user).Numeral results show that the designed retail packages can increase the overall profit of retailers,and the overall satisfaction of industrial users is the highest while that of residential users is the lowest after game interaction. 展开更多
关键词 Conditional value at risk(CVaR) energy retailer multi-energy retail package design multi-leader multi-follower(MLMF)Stackelberg game satisfaction
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CEPC Technical Design Report 被引量:1
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作者 Waleed Abdallah Tiago Carlos Adorno de Freitas +1111 位作者 Konstantin Afanaciev Shakeel Ahmad Ijaz Ahmed Xiaocong Ai Abid Aleem Wolfgang Altmannshofer Fabio Alves Weiming an rui an Daniele Paolo anderle Stefan antusch Yasuo Arai andrej Arbuzov Abdesslam Arhrib Mustafa Ashry Sha Bai Yu Bai Yang Bai Vipul Bairathi Csaba Balazs Philip Bambade Yong Ban Tripamo Bandyopadhyay Shou-Shan Bao Desmond P.Barber Ayse Bat Varvara Batozskaya Subash Chandra Behera Alexander Belyaev Michele Bertucci Xiao-Jun Bi Yuanjie Bi Tianjian Bian Fabrizio Bianchi Thomas Biekotter Michela Biglietti Shalva Bilanishvili Deng Binglin Denis Bodrov anton Bogomyagkov Serge Bondarenko Stewart Boogert Maarten Boonekamp Marcello Borri angelo Bosotti Vincent Boudry Mohammed Boukidi Igor Boyko Ivanka Bozovic Giuseppe Bozzi Jean-Claude Brient anastasiia Budzinskaya Masroor Bukhari Vladimir Bytev Giacomo Cacciapaglia Hua Cai Wenyong Cai Wujun Cai Yijian Cai Yizhou Cai Yuchen Cai Haiying Cai Huacheng Cai Lorenzo Calibbi Junsong Cang Guofu Cao Jianshe Cao antoine Chance Xuejun Chang Yue Chang Zhe Chang Xinyuan Chang Wei Chao Auttakit Chatrabhuti Yimin Che Yuzhi Che Bin Chen Danping Chen Fuqing Chen Fusan Chen Gang Chen Guoming Chen Hua-Xing Chen Huirun Chen Jinhui Chen Ji-Yuan Chen Kai Chen Mali Chen Mingjun Chen Mingshui Chen Ning Chen Shanhong Chen Shanzhen Chen Shao-Long Chen Shaomin Chen Shiqiang Chen Tianlu Chen Wei Chen Xiang Chen Xiaoyu Chen Xin Chen Xun Chen Xurong Chen Ye Chen Ying Chen Yukai Chen Zelin Chen Zilin Chen Gang Chen Boping Chen Chunhui Chen Hok Chuen Cheng Huajie Cheng Shan Cheng Tongguang Cheng Yunlong Chi Pietro Chimenti Wen Han Chiu Guk Cho Ming-Chung Chu Xiaotong Chu Ziliang Chu Guglielmo Coloretti andreas Crivellin Hanhua Cui Xiaohao Cui Zhaoyuan Cui Brunella D'anzi Ling-Yun Dai Xinchen Dai Xuwen Dai antonio De Maria Nicola De Filippis Christophe De La Taille Francesca De Mori Chiara De Sio Elisa Del Core Shuangxue Deng Wei-Tian Deng Zhi Deng Ziyan Deng Bhupal Dev Tang Dewen Biagio Di Micco Ran Ding Siqin Dingl Yadong Ding Haiyi Dong Jianing Dong Jing Dong Lan Dong Mingyi Dong Xu Dong Yipei Dong Yubing Dong Milos Dordevic Marco Drewes Mingxuan Du Mingxuan Du Qianqian Du Xiaokang Du Yanyan Du Yong Du Yunfei Du Chun-Gui Duan Zhe Duan Yahor Dydyshka Ulrik Egede Walaa Elmetenawee Yun Eo Ka Yan Fan Kuanjun Fan Yunyun Fan Bo Fang Shuangshi Fang Yuquan Fang Ada Farilla Riccardo Farinelli Muhammad Farooq angeles Faus Golfe Almaz Fazliakhmetov Rujun Fei Bo Feng Chong Feng Junhua Feng Xu Feng Zhuoran Feng Zhuoran Feng Luis Roberto Flores Castillo Etienne Forest andrew Fowlie Harald Fox Hai-Bing Fu Jinyu Fu Benjamin Fuks Yoshihiro Funakoshi Emidio Gabrielli Nan Gan Li Gang Jie Gao Meisen Gao Wenbin Gao Wenchun Gao Yu Gao Yuanning Gao Zhanxiang Gao Yanyan Gao Kun Ge Shao-Feng Ge Zhenwu Ge Li-Sheng Geng Qinglin Geng Chao-Qiang Geng Swagata Ghosh antonio Gioiosa Leonid Gladilin Ti Gong Stefania Gori Quanbu Gou Sebastian Grinstein Chenxi Gu Gerardo Guillermo Joao Guimaraes da Costa Dizhou Guo Fangyi Guo Jiacheng Guo Jun Guo Lei Guo Lei Guo Xia Guo Xin-Heng Guo Xinyang Guo Yun Guo Yunqiang Guo Yuping Guo Zhi-Hui Guo Alejandro Gutierrez-Rodriguez Seungkyu Ha Noman Habib Jan Hajer Francois Hammer Chengcheng Han Huayong Han Jifeng Han Liang Han Liangliang Han ruixiong Han Yang Han Yezi Han Yuanying Han Tao Han Jiankui Hao Xiqing Hao Xiqing Hao Chuanqi He Dayong He Dongbing He Guangyuan He Hong-Jian He Jibo He Jun He Longyan He Xiang He Xiao-Gang He Zhenqiang He Klaus Heinemann Sven Heinemeyer Yuekun Heng Maria A.Hernandez-ruiz Jiamin Hong Yuenkeung Hor George W.S.Hou Xiantao Hou Xiaonan Hou Zhilong Hou Suen Hou Caishi Hu Chen Hu Dake Hu Haiming Hu Jiagen Hu Jun Hu Kun Hu Shouyang Hu Yongcai Hu Yu Hu Zhen Hu Zhehao Hua Jianfei Hua Chao-Shang Huang Fa Peng Huang Guangshun Huang Jinshu Huang Ke Huang Liangsheng Huang Shuhui Huang Xingtao Huang Xu-Guang Huang Yanping Huang Yonggang Huang Yongsheng Huang Zimiao Huang Chen Huanyuan Changgi Hua Jiaqi Hui Lihua Huo Talab Hussain Kyuyeong Hwang Ara loannisian Munawar Iqbal Paul Jackson Shahriyar Jafarzade Haeun Jang Seoyun Jang Daheng Ji Qingping Ji Quan Ji Xiaolu Ji Jingguang Jia Jinsheng Jia Xuewei Jia Zihang Ja Cailian Jiang Han Ren Jiang Houbing Jiang Jun Jiang Xiaowei Jiang Xin Jiang Xuhui Jiang Yongcheng Jiang Zhongjian Jiang Cheng Jiang ruiqi Jiao Dapeng Jin Shan Jin Song Jin Yi Jin Junji Jis Sunghoon Jung Goran Kacarevic Eric Kajfasz Lidia Kalinovskaya Aleksei Kampf Wen Kang Xian-Wei Kang Xiaolin Kang Biswajit Karmakar Zhiyong Ke Rijeesh Keloth Alamgir Khan Hamzeh Khanpour Khanchai Khosonthongkee KhanchaiKhosonthongkee Bobae Kim Dongwoon Kim Mi Ran Kim Minsuk Kim Sungwon Kim On Kim Michael Klasen Sanghyun Ko Ivan Koop Vitaliy Kornienko Bryan Kortman Gennady Kozlov Shiqing Kuang Mukesh Kumar Chia Ming Kuo Tsz Hong Kwok Fran cois Sylvain Ren Lagarde Pei-Zhu Lai Imad Laktineh Xiaofei Lan Zuxiu Lan Lia Lavezzi Justin Lee Junghyun Lee Sehwook Lee Ge Lei Roy Lemmon longxiang Leng Sze Ching Leung Hai Tao Li Bingzhi Li Bo Li Bo Li Changhong Li Chao Li Cheng Li Cheng Li Chunhua Li Cui Li Dazhang Li Dikai Li Fei Li Gang Li Gang Li Gang Li Gaosong Li Haibo Li Haifeng Li Hai-Jun Li Haotian Li Hengne Li Honglei Li Huijing Li Jialin Li Jingyi Li Jinmian Li Jun Li Leyi Li Liang Li Ling Li Mei Li Meng Li Minxian Li Pei-Rong Li Qiang Li Shaopeng Li Shenghe Li Shu Li Shuo Li Teng Li Tiange Li Tong Li Weichang Li Weidong Li Wenjun Li Xiaoling Li Xiaomei Li Xiaonan Li Xiaoping Li Xiaoting Li Xin Li Xinqiang Li Xuekang Li Yang Li Yanwei Li Yiming Li Ying Li Ying-Ying Li Yonggang Li Yonglin Li Yufeng Li Yuhui Li Zhan Li Zhao Li Zhiji Li Tong Li Lingfeng Li Fei Li Jing Liang Jinhan Liang Zhijun Liang Guangrui Liao Hean Liao Jiajun Liao Libo Liao Longzhou Liao Yi Liao Yipu Liao Ayut Limphirat AyutLimphirat Tao Lin Weiping Lin Yufu Lin Yugen Lin Beijiang Liu Bo Liu Danning Liu Dong Liu Fu-Hu Liu Hongbang Liu Huangcheng Liu Hui Liu Huiling Liu Jia Liu Jia Liu Jiaming Liu Jianbei Liu Jianyi Liu Jingdong Liu Jinhua Liu Kai Liu Kang Liu Kun Liu Mengyao Liu Peng Liu Pengcheng Liu Qibin Liu Shan Liu Shidong Liu Shuang Liu Shubin Liu Tao Liu Tao Liu Tong Liu Wei Liu Xiang Liu Xiao-Hai Liu Xiaohui Liu Xiaoyu Liu Xin Liu Xinglin Liu Xingquan Liu Yang Liu Yanlin Liu Yao-Bei Liu Yi Liu Yiming Liu Yong Liu Yonglu Liu Yu Liu Yubin Liu Yudong Liu Yulong Liu Zhaofeng Liu Zhen Liu Zhenchao Liu Zhi Liu Zhi-Feng Liu Zhiqing Liu Zhongfu Liu Zuowei Liu Mia Liu Zhen Liu Xiaoyang Liu Xinchou Lou Cai-Dian Lu Jun-Xu Lu Qiu Zhen Lu Shang Lu Shang Lu Wenxi Lu Xiaohan Lu Yunpeng Lu Zhiyong Lu Xianguo Lu Wei Lu Bayarto Lubsandorzhiev Sultim Lubsandorzhiev Arslan Lukanov Jinliang Luo Tao Luo xiaoan Luo Xiaofeng Luo Xiaolan Luo Jindong Lv Feng Lyu Xiao-rui Lyu Kun-Feng Lyu ande Ma Hong-Hao Ma Jun-Li Ma Kai Ma Lishuang Ma Na Ma Renjie Ma Weihu Ma Xinpeng Ma Yanling Ma Yan-Qing Ma Yongsheng Ma Zhonghui Ma Zhongjian Ma Yang Ma Mousam Maity Lining Mao Yanmin Mao Yaxian Mao Aure lien Martens Caccia Massimo Luigi Maria Shigeki Matsumoto Bruce Mellado Davide Meloni Lingling Men Cai Meng Lingxin Meng Zhenghui Mi Yuhui Miao Mauro Migliorati Lei Ming Vasiliki A.Mitsou Laura Monaco Arthur Moraes Karabo Mosala Ahmad Moursy Lichao Mu Zhihui Mu Nickolai Muchnoi Daniel Muenstermann DanielMuenstermann Pankaj Munbodh William John Murray Jerome Nanni Dmitry Nanzanov Changshan Nie Sergei Nikitin Feipeng Ning Guozhu Ning Jia-Shu Niu Juan-Juan Niu Yan Niu Edward Khomotso Nkadimeng Kazuhito Ohmi Katsunobu Oide Hideki Okawa Mohamed Ouchemhou Qun Ouyang Daniele Paesani Carlo Pagani Stathes Paganis Collette Pakuza Jiangyang Pan Juntong Pan Tong Pan Xiang Pan Papia Panda Saraswati Pandey Mila Pandurovic Rocco Paparella Roman Pasechnik Emilie Passemar r Hua Pei Xiaohua Peng Xinye Peng Yuemei Peng Jialun Ping Ronggang Ping Souvik Priyam Adhya Baohua Qi Hang Qi Huirong Qi Ming Qi Sen Qian Zhuoni Qian Congfeng Qiao Guangyou Qin Jiajia Qin Laishun Qin Liqing Qin Qin Qin Xiaoshuai Qin Zhonghua Qin Guofeng Qu antonio Racioppi Michael Ramsey-Musolf Shabbar Raza Vladimir Rekovic Jing Ren Jirgen Reuter Tania Robens Giancarlo Rossi Manqi Ruan Manqi Ruan Leonid Rumyantsev Min Sang Ryu Renat Sadykov Minjing Sang Juan Jose Sanz-Cillero Miroslav Saur Nishil Savla Michael A.Schmidt Daniele Sertore Ron Settles Peng Sha Ding-Yu Shao Ligang Shao Hua-Sheng Shao Xin She Chuang Shen Hong-Fei Shen Jian-Ming Shen Peixun Shen Qiuping Shen Zhongtao Shen Shuqi Sheng Haoyu Shi Hua Shi Qi Shi Shusu Shi Xiaolei Shi Xin Shi Yukun Shi Zhan Shi Ian Shipsey Gary Shiu Chang Shu Zong-Guo Si andrei Sidorenkov Ivan Smiljanc Aodong Song Huayang Song Jiaojiao Song Jinxing Song Siyuan Song Weimin Song Weizheng Song Zhi Song Shashwat Sourav Paolo Spruzzola Feng Su Shengsen Su Wei Su Shufang Su Yanfeng Sui Zexuan Sui Michael Sullivan Baiyang Sun Guoqiang Sun Hao Sun Hao-Kai Sun Junfeng Sun Liang Sun Mengcheng Sunl Pengfei Sun Sichun Sun Xianjing Sun Xiaohu Sun Xilei Sun Xingyang Sun Xin-Yuan Sun Yanjun Sun Yongzhao Sun Yue Sun Zheng Sun Zheng Sun Narumon Suwonjandee Elsayed Tag Eldin Biao Tan Bo Tang Chuanxiang Tang Gao Tang Guangyi Tang Jian Tang Jingyu Tang Liang Tang Ying'Ao Tang Junquan Tao Abdel Nasser Taw fik Geoffrey Taylor Valery Telnov Saike Tian Riccardo Torre Wladyslaw Henryk Trzaska Dmitri Tsybychev Yanjun Tu Shengquan Tuo Michael Tytgat Ghalib Ul Islam Nikita Ushakov German Valencia Jaap Velthuis Alessandro Vicini Trevor Vickey Ivana Vidakovic Henri Videau Raymond Volkas Dmitry Voronin Natasa Vukasinovic Xia Wan Xuying Wan Xiao Wang anqing Wang Bin Wang Chengtao Wang Chuanye Wang Ci Wang Dayong Wang Dou Wang En Wang Fei Wang Fei Wang Guanwen Wang Guo-Li Wang Haijing Wang Haolin Wang Jia Wang Jian Wang Jianchun Wang Jianli Wang Jiawei Wang Jin Wang Jin-Wei Wang Joseph Wang Kechen Wang Lechun Wang Lei Wang Liguo Wang Lijiao Wang Lu Wang Meng Wang Na Wang Pengcheng Wang Qian Wang Qun Wang Shu Lin Wang Shudong Wang Taofeng Wang Tianhong Wang Tianyang Wang Tong Wang Wei Wang Wei Wang Xiaolong Wang Xiaolong Wang Xiaoning Wang Xiao-Ping Wang Xiongfei Wang Xujian Wang Yaping Wang Yaqian Wang Yi Wang Yiao Wang Yifang Wang Yilun Wang Yiwei Wang You-Kai Wang Yuanping Wang Yuexin Wang Yuhao Wang Yu-Ming Wang Yuting Wang Zhen Wang Zhigang Wang Weiping Wang Zeren Simon Wang Biao Wang Hui Wang Lian-Tao Wang Zihui Wang Zirui Wang Jia Wang Tong Wang Daihui Wei Shujun Wei Wei Wei Xiaomin Wei Yuanyuan Wei Yingjie Wei Liangjian Wen Xuejun Wen Yufeng Wen Martin White Peter Williams Zef Wolffs William John Womersley Baona Wu Bobing Wu Guanjian Wu Jinfei Wu Lei Wu Lina Wu Linghui Wu Minlin Wu Peiwen Wu Qi Wu Qun Wu Tianya Wu Xiang Wu Xiaohong Wu Xing-Gang Wu Xuehui Wu Yaru Wu Yongcheng Wu Yuwen Wu Zhi Wu Xin Wu Lei Xia Ligang Xia Shang Xia Benhou Xiang Dao Xiang Zhiyu Xiang Bo-Wen Xiao Chu-Wen Xiao Dong Xiao Guangyan Xiao Han Xiao Meng Xiao Ouzheng Xiao rui-Qing Xiao Xiang Xiao Yichen Xiao Ying Xiao Yu Xiao Yunlong Xiao Zhenjun Xiao Hengyuan Xiao Nian Xie Yuehong Xie Tianmu Xin Ye Xing Zhizhong Xing Da Xu Fang Xu Fanrong Xu Haisheng Xu Haocheng Xu Ji Xu Miaofu Xu Qingjin Xu Qingnian Xu Wei Xu Wei Xu Weixi Xu Xinping Xu Zhen Xu Zijun Xu Zehua Xu Yaoyuan Xu Feifei Xue Baojun Yan Bin Yan Fen Yan Fucheng Yan Jiaming Yan Liang Yan Luping Yan Qi-Shu Yan Wenbiao Yan Yupeng Yan Luping Yan Haoyue Yan Dong Yang Fengying Yang Guicheng Yang Haijun Yang Jin Min Yang Jing Yang Lan Yang Li Yang Li Lin Yang Lili Yang Litao Yang Mei Yang Qiaoli Yang Tiansen Yang Xiaochen Yang Yingjun Yang Yueling Yang Zhengyong Yang Zhenwei Yang Youhua Yang Xiancong Yang De-Liang Yao Shi Yao Lei Ye Lingxi Ye Mei Ye rui Ye rui Ye Yecheng Ye Vitaly Yermolchyk Kai Yi Li Yi Yang Yi Di Yin Peng-Fei Yin Shenghua Yin Ze Yin Zhongbao Yin Zhang Yinhong Hwi Dong Yoo Zhengyun You Charles Young Boxiang Yu Chenghui Yu Fusheng Yu Jie-Sheng Yu Jinqing Yu Lingda Yu Zhao-Huan Yu Felix Yu Bingrong Yu Changzheng Yuan Li Yuan Xing-Bo Yuan Youjin Yuan Junhui Yue Qian Yue Baobiao Yue Un Nisa Zaib Riccardo Zanzottera Hao Zeng Ming Zeng Jian Zhai Jiyuan Zhai Xin Zhe Zhai Xi-Jie Zhan Ben-Wei Zhang Bolun Zhang Di Zhang Guangyi Zhang Hao Zhang Hong-Hao Zhang Huaqiao Zhang Hui Zhang Jialiang Zhang Jianyu Zhang Jianzhong Zhang Jiehao Zhang Jielei Zhang Jingru Zhang Jinxian Zhang Junsong Zhang Junxing Zhang Lei Zhang Lei Zhang Liang Zhang Licheng Zhang Liming Zhang Linhao Zhang Luyan Zhang Mengchao Zhang Rao Zhang Shulei Zhang Wan Zhang Wenchao Zhang Xiangzhen Zhang Xiaomei Zhang Xiaoming Zhang Xiaoxu Zhang Xiaoyu Zhang Xuantong Zhang Xueyao Zhang Yang Zhang Yang Zhang Yanxi Zhang Yao Zhang Ying Zhang Yixiang Zhang Yizhou Zhang Yongchao Zhang Yu Zhang Yuan Zhang Yujie Zhang Yulei Zhang Yumei Zhang Yunlong Zhang Zhandong Zhang Zhaoru Zhang Zhen-Hua Zhang Zhenyu Zhang Zhichao Zhang Zhi-Qing Zhang Zhuo Zhang Zhiqing Zhang Cong Zhang Tianliang Zhang Luyan Zhang Guang Zhao Hongyun Zhao Jie Zhao Jingxia Zhao Jingyi Zhao Ling Zhao Luyang Zhao Mei Zhao Minggang Zhao Mingrui Zhao Qiang Zhao ruiguang Zhao Tongxian Zhao Yaliang Zhao Ying Zhao Yue Zhao Zhiyu Zhao Zhuo Zhao Alexey Zhemchugov Hongjuan Zheng Jinchao Zheng Liang Zheng Ran Zheng shanxi zheng Xu-Chang Zheng Wang Zhile Weicai Zhong Yi-Ming Zhong Chen Zhou Daicui Zhou Jianxin Zhou Jing Zhou Jing Zhou Ning Zhou Qi-Dong Zhou Shiyu Zhou Shun Zhou Sihong Zhou Xiang Zhou Xingyu Zhou Yang Zhou Yong Zhou Yu-Feng Zhou Zusheng Zhou Demin Zhou Dechong Zhu Hongbo Zhu Huaxing Zhu Jingya Zhu Kai Zhu Pengxuan Zhu ruilin Zhu Xianglei Zhu Yingshun Zhu Yongfeng Zhu Xiao Zhuang Xuai Zhuang Mikhail Zobov Zhanguo Zong Cong Zou Hongying Zou 《Radiation Detection Technology and Methods》 CSCD 2024年第1期I0003-I0016,1-1091,共1105页
The Circular Electron Positron Collider(CEPC)is a large scientific project initiated and hosted by China,fostered through extensive collaboration with international partners.The complex comprises four accelerators:a 3... The Circular Electron Positron Collider(CEPC)is a large scientific project initiated and hosted by China,fostered through extensive collaboration with international partners.The complex comprises four accelerators:a 30 GeV Linac,a 1.1 GeV Damping Ring,a Booster capable of achieving energies up to 180 GeV,and a Collider operating at varying energy modes(Z,W,H,and tt).The Linac and Damping Ring are situated on the surface,while the subterranean Booster and Collider are housed in a 100 km circumference underground tunnel,strategically accommodating future expansion with provisions for a potential Super Proton Proton Collider(SPPC).The CEPC primarily serves as a Higgs factory.In its baseline design with synchrotron radiation(SR)power of 30 MW per beam,it can achieve a luminosity of 5×10^(34)cm^(-2)s^(-1)per interaction point(IP),resulting in an integrated luminosity of 13 ab^(-1)for two IPs over a decade,producing 2.6 million Higgs bosons.Increasing the SR power to 50 MW per beam expands the CEPC's capability to generate 4.3 million Higgs bosons,facilitating precise measurements of Higgs coupling at sub-percent levels,exceeding the precision expected from the HL-LHC by an order of magnitude.This Technical Design Report(TDR)follows the Preliminary Conceptual Design Report(Pre-CDR,2015)and the Conceptual Design Report(CDR,2018),comprehensively detailing the machine's layout,performance metrics,physical design and analysis,technical systems design,R&D and prototyping efforts,and associated civil engineering aspects.Additionally,it includes a cost estimate and a preliminary construction timeline,establishing a framework for forthcoming engineering design phase and site selection procedures.Construction is anticipated to begin around 2027-2028,pending government approval,with an estimated duration of 8 years.The commencement of experiments and data collection could potentially be initiated in the mid-2030s. 展开更多
关键词 initiated EXCEEDING PRECISE
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Let the sun shine into a brighter future:an interview with Prof.Aldo Steinfeld 被引量:1
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作者 Yong Hao Wenjuan Zou rui an 《Science Bulletin》 SCIE EI CAS CSCD 2017年第16期1102-1103,共2页
Aldo Steinfeld(Ph.D.,University of Minnesota,1989)is a professor at the Department of Mechanical and Process Engineering of ETH Zurich,where he holds the Chair of Renewable Energy Carriers.He has pioneered the develop... Aldo Steinfeld(Ph.D.,University of Minnesota,1989)is a professor at the Department of Mechanical and Process Engineering of ETH Zurich,where he holds the Chair of Renewable Energy Carriers.He has pioneered the development of solar thermochemical reactor technologies for producing clean transportation fuels 展开更多
关键词 访谈录 明尼苏达大学 太阳能技术 机械工程系 光照 化学反应器 能源载体 运输燃料
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Effects of special brain area regional cerebral blood flow abnormal perfusion on learning and memory function and its molecular mechanism in rats
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作者 Lingbin KONG Zhiyin YanG +1 位作者 rui an Shouhua DING 《Frontiers in Biology》 CSCD 2008年第2期147-153,共7页
To study the effect of special brain area regional cerebral blood flow(rCBF)abnormal perfusion on learning and memory function and its molecular mechanism,64 adult male healthy Sprague-Dawley(SD)rats were randomly div... To study the effect of special brain area regional cerebral blood flow(rCBF)abnormal perfusion on learning and memory function and its molecular mechanism,64 adult male healthy Sprague-Dawley(SD)rats were randomly divided into two groups,the false operation group(control group)and the operation group(model group).After surgical operation,the operation group undertook bilateral common carotid artery permanent ligation,while the other group did not.Learning and memory function were measured by Y-maze at 4 h,8 h,24 h and 3 d after surgical operation,respectively.The rCBF of the right frontal lobe and hippocampus was also detected by the PerifluxPF model laser Doppler flowmetry,and the expressions of c-fos or c-jun or Bcl-2 and Bax were also measured by immune histochemistry S-P method accordingly.Results showed that the rCBF of the right frontal lobe and hippocampus in the operation group was significantly lower than that in the false operation group(P,0.05).The learning indexes,error number(EN),day of reach standard and total reaction time(TRT)in the operation group,were significantly higher than that in the false operation group(P,0.05).However,the initiative evasion rate in the operation group was significantly lower than that in the false operation group.The study also found that the rCBF was relatively more,the indexes(EN,the day of reach standard and TRT)relatively fewer,but the initiative evasion rate and the memory keeping rate were relatively more.The positive expression and the average absorbency of Fos and Jun in the operation group were significantly higher than that in the false operation group(P<0.05).Furthermore,Bax and Bcl-2 positive cells were all increased over time in the operation group,and the expression ratio of Bax/Bcl-2 in the operation group was significantly higher than that in the false operation group(P<0.01).In conclusion,rCBF decrease can impair the learning and memory function in rats,which may be related to the increase of the expression ratio of c-fos or c-jun or Bcl-2 or Bax in the frontal cortex and hippocampus. 展开更多
关键词 RCBF learning memory function correlation frontal lobe HIPPOCAMPUS molecular mechanism
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From Chinese Science Bulletin to Science Bulletin: celebrate the coming 50th birthday 被引量:1
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作者 Xuming Jia rui an Xiao-Ya Chen 《Science Bulletin》 SCIE EI CAS CSCD 2015年第24期2145-2150,共6页
As the only multidisciplinary journal supervised by Chinese Academy of Sciences and the National Natural Science Foundation of China,Science Bulletin will usher in its50th anniversary in 2016.A fifty-year history for ... As the only multidisciplinary journal supervised by Chinese Academy of Sciences and the National Natural Science Foundation of China,Science Bulletin will usher in its50th anniversary in 2016.A fifty-year history for a journal is always remarkable.However,the more important reason to celebrate besides the great age is:the fifty-year old journal continues to be vigorous and influential. 展开更多
关键词 下线 服务 迁移
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陈晓亚:能否办好期刊取决于大家的信心和努力
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作者 安瑞 《科学通报》 EI CAS CSCD 北大核心 2020年第23期2419-2421,共3页
陈晓亚,植物生理学家,中国科学院院士、发展中国家科学院院士,中国科学院(以下简称"中科院")分子植物科学卓越创新中心/上海植物生理生态研究所研究员、博士生导师,中科院上海辰山植物科学研究中心主任,兼任上海辰山植物园园... 陈晓亚,植物生理学家,中国科学院院士、发展中国家科学院院士,中国科学院(以下简称"中科院")分子植物科学卓越创新中心/上海植物生理生态研究所研究员、博士生导师,中科院上海辰山植物科学研究中心主任,兼任上海辰山植物园园长,主要从事植物次生代谢调控及表皮细胞发育研究. 2008年起至今担任《中国科学:生命科学》编委;2014~2017年担任Science Bulletin(《科学通报》英文版)主编, 2018年起担任顾问委员会委员. 展开更多
关键词 中国科学院院士 科学研究中心 顾问委员会 国家科学院院士 陈晓 上海辰山植物园 生命科学 植物生理生态
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王恩哥:我与Science Bulletin
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作者 邹文娟 安瑞 《科学通报》 EI CAS CSCD 北大核心 2020年第35期3993-3994,共2页
王恩哥,物理学家,中国科学院院士,第三世界科学院院士,北京大学物理学院教授,中国科学院物理研究所学术委员会主任,广东省松山湖材料实验室理事长.1999~2017年先后任中国科学院物理研究所所长、北京大学校长、中国科学院副院长.主要从... 王恩哥,物理学家,中国科学院院士,第三世界科学院院士,北京大学物理学院教授,中国科学院物理研究所学术委员会主任,广东省松山湖材料实验室理事长.1999~2017年先后任中国科学院物理研究所所长、北京大学校长、中国科学院副院长.主要从事凝聚态物理研究,在纳米新材料探索及其物性、原子尺度上的表面生长动力学以及受限条件下水的全量子化复杂形态等方面做出了具有重要影响的研究工作. 2018年起担任Science Bulletin (《科学通报》英文版)主编. 展开更多
关键词 中国科学院院士 第三世界科学院 凝聚态物理 北京大学校长 原子尺度 材料实验室 量子化 生长动力学
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