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Conceptual design report of the Super Tau-Charm Facility:the accelerator
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作者 Xiao-Cong Ai Liu-Pan An +451 位作者 Shi-Zhong An Yu Bai Zheng-He Bai Olga Bakina Jian-Cong Bao Varvara Batozskaya Anastasios Belias Maria Enrica Biagini Li-Gong Bian Denis Bodrov Anton Bogomyagkov Manuela Boscolo Igor Boyko Ze-Xin Cao Serkant Cetin Marina Chadeeva Ming-Xuan Chang Qin Chang Dian-Yong Chen Fang-Zhou Chen Hai Chen Hua-Xing Chen Jin-Hui Chen Long Chen Long-Bin Chen Qi Chen Qu-Shan Chen Shao-Min Chen Wei Chen Ying Chen Zhi Chen Shan Cheng Si-Bo Cheng Tong-Guang Cheng Lian-Rong Dai Ling-Yun Dai Xin-Chen Dai Achim Denig Igor Denisenko Denis Derkach Heng-Tong Ding Ming-Hui Ding Xiao Ding Liao-Yuan Dong Yong Du Prokhor Egorov Kuan-Jun Fan Si-Yuan Fan Shuang-Shi Fang Zhu-Jun Fang Song Feng Xu Feng Hai-Bing Fu Jun Gao Yuan-Ning Gao Zi-Han Gao Cong Geng Li-Sheng Geng Hai-Liang Gong Jia-Ding Gong Li Gong Shao-Kun Gong Sergi Gonzàlez-Solís Bo-Xing Gou Duan Gu Hao Guo Jun Guo Teng-Jun Guo Xin-Heng Guo Yu-Hui Guo Yu-Ping Guo Zhi-Hui Guo Selcuk Haciomeroglu Eiad Hamwi Cheng-Dong Han Ting-Ting Han Xi-Qing Hao Chong-Chao He Ji-Bo He Tian-Long He Xiao-Gang He Masahito Hosaka Kai-Wen Hou Zhi-Long Hou Dong-Dong Hu Hai-Ming Hu Hao Hu Qi-Peng Hu Tong-Ning Hu Xiao-Cheng Hu Yu Hu Zhen Hu Da-Zhang Huang Fei Huang Guang-Shun Huang Liang-Sheng Huang Peng-Wei Huang Rui-Xuan Huang Xing-Tao Huang Xue-Lei Huang Zhi-Cheng Huang Wang Ji Peng-Kun Jia Sen Jia Ze-Kun Jia Hong-Ping Jiang Hou-Bing Jiang Jian-Bin Jiao Ming-Jie Jin Su-Ping Jin Yi Jin Daekyoung Kang Xian-Wei Kang Xiao-Lin Kang Leonid Kaptari Onur Bugra Kolcu Ivan Koop Evgeniy Kravchenko Yury Kudenko Meike Küßner Yong-Bin Leng Eugene Levichev Chao Li Chun-Yuan Li Chun-Hua Li Hai Tao Li Hai-Bo Li Hang-Zhou Li Heng-Ne Li Hong-Lei Li Hui-Jing Li Hui-Lin Li Jia-Rong Li Jin Li Lei Li Min Li Pei-Rong Li Pei-Lian Li Ren-Kai Li Sang-Ya Li Shu Li Teng Li Tian-You Li Wei-Wei Li Wen-Jun Li Xin Li Xin-Qiang Li Xin-Bai Li Xuan Li Xun-Feng Li Yan-Feng Li Ya-Xuan Li Ying Li Yu-Bo Li Jian Liang Xiao Liang Yu Liang Ze-Rui Liang Chuang-Xin Lin De-Xu Lin Ting Lin Yu-Gen Lin Chao Liu Chao Liu Chia-Wei Liu Gang-Wen Liu Hang Liu Hong-Bang Liu Jian-Bei Liu Jian-Dang Liu Lang-Tian Liu Liang-Chen Liu Ming-Yi Liu Shu-Bin Liu Tao Liu Tian-Bo Liu Xiang Liu Xiao-Yu Liu Xin Liu Xu-Yang Liu Yan-Rui Liu Yan-Lin Liu Yan-Wen Liu Yi Liu Yuan Liu Zhan-Wei Liu Zhao-Feng Liu Zhi-Qing Liu Zi-Rui Liu Zuo-Wei Liu Cai-Dian Lu Miao-Ran Lu Peng-Cheng Lu Yu Lu Qing luo Tao luo Tao luo xiao-feng luo Hui-Hui Lv Shuo-Tian Lyu Xiao-Rui Lyu Bo-Qiang Ma Cheng-Long Ma Shao-Hang Ma Teng Ma Wen-Bin Ma Yu Meng Meng-Xu Fan Xue-Ce Miao Mauro Migliorati Catia Milardi Taisiya Mineeva Yi-Hao Mo Hector Gisbert Mullor Elaf Musa Satoshi Nakamura Alexey Nefediev Yuan-Cun Nie Kazuhito Ohmi MPadmanath Pavel Pakhlov Jian Pang Emilie Passemar Guo-Xi Pei Hua Pei Hai-Ping Peng Liang Peng Rong-Gang Ping Bernard Pire Vindhyawasini Prasad Bin-Bin Qi Zhi-Jun Qi Yi Qian Cong-Feng Qiao Jia-Jia Qin Long-Yu Qin Qin Qin Xiao-Shuai Qin Fedor Ratnikov Craig Roberts Antonio Rodríguez-Sánchez Yury Rogovsky Platon Rogozhin Pablo Roig Man-Qi Ruan Jorge Segovia Feng-Lei Shang Lei Shang Jian-Feng Shangguan Ding-Yu Shao Ming Shao Zhuo-Xia Shao Cheng-Ping Shen Hong-Fei Shen Xiao-Min Shen Zhong-Tao Shen Cai-Tu Shi Jia-Lei Shi Rui-Xiang Shi Yu-Kun Shi Zong-Guo Si Luiz Vale Silva Mikhail Skamarokha Jun-Chao Su Guang-Bao Sun Jun-Feng Sun Kun Sun Li Sun Ming-Kai Sun Rui Sun Xu-Lei Sun Jing-Yu Tang Yin-Gao Tang Ze-Bo Tang Wei Tao Valery Telnov Jia-Xiu Teng Yuriy Tikhonov Cheng-Ying Tsai Timofey Uglov Vincenzo Vagnoni German Valencia Guan-Yue Wan An-Xin Wang Bin Wang Cheng-Zhe Wang En Wang Hong-Jin Wang Jia Wang Jie Wang Jun-Zhang Wang Lei Wang Lei Wang Lin Wang Qian Wang Qian Wang Sheng-Quan Wang Sheng-Yuan Wang Shi-Kang Wang Wei Wang Wei-Ping Wang Xiang-Peng Wang Xia-Yu Wang Xiong-Fei Wang Ya-Qian Wang Yu-Ming Wang Yu-Hao Wang Zeren Simon Wang Zhi Wang Zhi-Gang Wang Zhi-Yong Wang Zi-Yu Wang Zi-Rui Wang Bing-Feng Wei Shao-Qing Wei Shu-Yi Wei Xiao-Min Wei Ya-Jing Wei Ye-Long Wei Ulrich Wiedner Jia-Jun Wu Jun Wu Qun Wu Sang Wu Xin Wu Xing-Gang Wu Xuan Wu Yong-Cheng Wu Yu-Sheng Wu Lei Xia Zhi-Gang Xiao Chun-Jie Xie Kai-Bo Xie Zi-Yu Xiong Ji Xu Lai-Lin Xu Shu-Sheng Xu Xin Xu Yue Xu Liang Yan Wen-Biao Yan Xue-Qing Yan Chi Yang Hai-Jun Yang Hong-Tao Yang Jun Yang Peng-Hui Yang Shuai Yang Tao Yang Wei-Hua Yang Xing-Hua Yang Xue-Ting Yang Yue-Ling Yang Zhen-Wei Yang Zhong-Juan Yang De-Liang Yao Zao-Chen Ye Kai Yi Li Yi Li-Xin Yin Zheng-Yun You Chen Yu Ze Yu Jing Yuan You-Jin Yuan Nefedov Yury Yi-Feng Zeng Wang-Mei Zha Ai-Lin Zhang Ding-Yue Zhang Guang-Yi Zhang Guo-Heng Zhang Hai-Yan Zhang Hao-Ran Zhang Hong-Hao Zhang Hui-Bin Zhang Jia-Lian Zhang Jian-Rong Zhang Jian-Hui Zhang Jian-Yu Zhang Jie-Lei Zhang Lei Zhang Liang Zhang Ling-Hua Zhang Lin-Hao Zhang Ning Zhang Qiu-Yan Zhang Quan-Zheng Zhang Rui Zhang Rui-Yang Zhang Shao-Ru Zhang Sheng-Hui Zhang Shu-Lei Zhang Wen-Chao Zhang Xiao-Yang Zhang Xiao-Ming Zhang Xiao-Tao Zhang Xin Zhang Xin-Hui Zhang Yan-Xi Zhang Ya-Teng Zhang Yi-Hao Zhang Yi-Fei Zhang Yu Zhang Yu Zhang Yu-Mei Zhang Zhen-Yu Zhang Zhi-Qing Zhang Zhi-Cai Zhang Jia-Yao Zhao Ming-Gang Zhao Qiang Zhao Rui-Guang Zhao Yang-Cheng Zhao Ze-Xuan Zhao Zheng-Guo Zhao Alexey Zhemchugov Bo Zheng Jing-Xin Zheng Liang Zheng Ran Zheng Xu-Chang Zheng Yang-Heng Zheng Bin Zhong Dai-Cui Zhou De-Min Zhou Hang Zhou Hao Zhou Jian Zhou Jian-Xin Zhou Qin-Song Zhou Shi-Yu Zhou Xiang Zhou Xiao-Kang Zhou Xiao-Rong Zhou Ya-Jin Zhou Yi Zhou Yi-Mei Zhou Ze-Ran Zhou Bing Zhu Jing-Yu Zhu Jing-Ya Zhu Lin Zhu Rui-Lin Zhu Xing-Hao Zhu Ying-Chun Zhu Zian Zhu Mikhail Zobov Yang Zong Bing-Song Zou Ye Zou Jian Zu 《Nuclear Science and Techniques》 2025年第12期8-177,共170页
Electron-positron colliders operating in the GeV center-of-mass range,or tau-charm energy region,have been proved to enable competitive frontier research due to several unique features.With the progress of high-energy... Electron-positron colliders operating in the GeV center-of-mass range,or tau-charm energy region,have been proved to enable competitive frontier research due to several unique features.With the progress of high-energy physics in the last two decades,a new-generation Tau-Charm factory,called the Super Tau-Charm Facility(STCF),has been actively promoted by the particle physics community in China.STCF has the potential to address fundamental questions such as the essence of color confinement and the matter-antimatter asymmetry within the next decades.The main design goals of the STCF are a center-of-mass energy ranging from 2 to 7 GeV and a luminosity surpassing 5×10^(34)cm^(−2)s^(−1)that is optimized at a center-of-mass energy of 4 GeV,which is approximately 50 times that of the currently operating Tau-Charm factory-BEPCII.The STCF accelerator has two main parts:a double-ring collider with a crab-waist collision scheme and an injector that provides top-up injections for both electron and positron beams.As a typical third-generation electron-positron circular collider,the STCF accelerator faces many challenges in both accelerator physics and technology.In this paper,the conceptual design of the STCF accelerator complex is presented,including the ongoing efforts and plans for technological research and develop-ment,as well as the required infrastructure.The STCF project aims to secure support from the Chinese central government for its construction during the 15th Five-Year Plan(2026-2030). 展开更多
关键词 Third-generation electron-positron collider Super high-luminosity Tau-charm physics Crab-waist collision scheme Touschek lifetime
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Establishment of a nested-ASP-PCR method to determine the clarithromycin resistance of Helicobacter pylori 被引量:4
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作者 xiao-feng luo Jian-Hua Jiao +5 位作者 Wen-Yue Zhang Han-Ming Pu Bao-Jin Qu Bing-Ya Yang Min Hou Min-Jun Ji 《World Journal of Gastroenterology》 SCIE CAS 2016年第25期5822-5830,共9页
AIM: To investigate clarithromycin resistance positions 2142, 2143 and 2144 of the 23 Sr RNA gene in Helicobacter pylori(H. pylori) by nested-allele specific primer-polymerase chain reaction(nested-ASP-PCR).METHODS: T... AIM: To investigate clarithromycin resistance positions 2142, 2143 and 2144 of the 23 Sr RNA gene in Helicobacter pylori(H. pylori) by nested-allele specific primer-polymerase chain reaction(nested-ASP-PCR).METHODS: The gastric tissue and saliva samples from 99 patients with positive results of the rapid urease test(RUT) were collected. The nested-ASP-PCR method was carried out with the external primers and inner allele-specific primers corresponding to the reference strain and clinical strains. Thirty gastric tissue and saliva samples were tested to determine the sensitivity of nested-ASP-PCR and ASP-PCR methods. Then, clarithromycin resistance was detected for 99 clinical samples by using different methods, including nestedASP-PCR, bacterial culture and disk diffusion. RESULTS: The nested-ASP-PCR method was successfully established to test the resistance mutation points 2142, 2143 and 2144 of the 23 SrR NA gene of H. pylori. Among 30 samples of gastric tissue and saliva, the H. pylori detection rate of nested-ASP-PCR was 90% and 83.33%, while the detection rate of ASP-PCR was just 63% and 56.67%. Especially in the saliva samples, nested-ASP-PCR showed much higher sensitivity in H. pylori detection and resistance mutation rates thanASP-PCR. In the 99 RUT-positive gastric tissue and saliva samples, the H. pylori-positive detection rate by nested-ASP-PCR was 87(87.88%) and 67(67.68%), in which there were 30 wild-type and 57 mutated strains in gastric tissue and 22 wild-type and 45 mutated strains in saliva. Genotype analysis showed that three-points mixed mutations were quite common, but different resistant strains were present in gastric mucosa and saliva. Compared to the high sensitivity shown by nested-ASP-PCR, the positive detection of bacterial culture with gastric tissue samples was 50 cases, in which only 26 drug-resistant strains were found through analyzing minimum inhibitory zone of clarithromycin. CONCLUSION: The nested-ASP-PCR assay showed higher detection sensitivity than ASP-PCR and drug sensitivity testing, which could be performed to evaluate clarithromycin resistance of H. pylori. 展开更多
关键词 Helicobacter pylori Nested-allele specific primer-polymerase chain reaction Rapid urease test Clarithromycin resistance Drug sensitivity testing
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“SERGEANTS AND SOLDIERS RULE” IN HELICAL SUBSTITUTED- ACETYLENE COPOLYMER EMULSIONS 被引量:2
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作者 Xuan Liu Ci Song +2 位作者 xiao-feng luo Wan-tai Yang 邓建平 《Chinese Journal of Polymer Science》 SCIE CAS CSCD 2013年第1期179-186,共8页
The "sergeants and soldiers rule" occurring in helical copolymer emulsions derived from an achiral monomer (M1) and a chiral monomer (M2) was observed. TEM, GPC, and 1H-NMR techniques in combination demonstrate ... The "sergeants and soldiers rule" occurring in helical copolymer emulsions derived from an achiral monomer (M1) and a chiral monomer (M2) was observed. TEM, GPC, and 1H-NMR techniques in combination demonstrate the formation of nanoparticles constituted by the copolymers. CD and UV-Vis spectra show the (co)polymer chains in the nanoparticles adopt helical structures of a predominant helicity, and the copolymers follow the "sergeants and soldiers rule" in forming helical structure. 展开更多
关键词 Sergeants and soldiers rule Helical polymer Emulsion.
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Nonpharmaceutical interventions contribute to the control of COVID-19 in China based on a pairwise model 被引量:2
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作者 xiao-feng luo Shanshan Feng +8 位作者 Junyuan Yang Xiao-Long Peng Xiaochun Cao Juping Zhang Meiping Yao Huaiping Zhu Michael Y.Li Hao Wang Zhen Jin 《Infectious Disease Modelling》 2021年第1期643-663,共21页
Nonpharmaceutical interventions(NPIs),particularly contact tracing isolation and household quarantine,play a vital role in effectively bringing the Coronavirus Disease 2019(COVID-19)under control in China.The pairwise... Nonpharmaceutical interventions(NPIs),particularly contact tracing isolation and household quarantine,play a vital role in effectively bringing the Coronavirus Disease 2019(COVID-19)under control in China.The pairwise model,has an inherent advantage in characterizing those two NPIs than the classical well-mixed models.Therefore,in this paper,we devised a pairwise epidemic model with NPIs to analyze COVID-19 outbreak in China by using confirmed cases during February 3rde22nd,2020.By explicitly incorporating contact tracing isolation and family clusters caused by household quarantine,our model provided a good fit to the trajectory of COVID-19 infections.We calculated the reproduction number R=1.345(95%CI:1.230-1.460)for Hubei province and R=1.217(95%CI:1.207-1.227)for China(except Hubei).We also estimated the peak time of infections,the epidemic duration and the final size,which are basically consistent with real observation.We indicated by simulation that the traced high-risk contacts from incubated to susceptible decrease under NPIs,regardless of infected cases.The sensitivity analysis showed that reducing the exposure of the susceptible and increasing the clustering coefficient bolster COVID-19 control.With the enforcement of household quarantine,the reproduction number R and the epidemic prevalence declined effectively.Furthermore,we obtained the resumption time of work and production in China(except Hubei)on 10th March and in Hubei at the end of April 2020,respectively,which is broadly in line with the actual time.Our results may provide some potential lessons from China on the control of COVID-19 for other parts of the world. 展开更多
关键词 COVID-19 Pairwise epidemic model Household quarantine Clustering coefficient High-risk contacts
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Modeling the early transmission of COVID-19 in New York and San Francisco using a pairwise network model 被引量:1
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作者 Shanshan Feng xiao-feng luo +3 位作者 Xin Pei Zhen Jin Mark Lewis Hao Wang 《Infectious Disease Modelling》 2022年第1期212-230,共19页
Classical epidemiological models assume mass action.However,this assumption is violated when interactions are not random.With the recent COVID-19 pandemic,and resulting shelter in place social distancing directives,ma... Classical epidemiological models assume mass action.However,this assumption is violated when interactions are not random.With the recent COVID-19 pandemic,and resulting shelter in place social distancing directives,mass action models must be modified to account for limited social interactions.In this paper we apply a pairwise network model with moment closure to study the early transmission of COVID-19 in New York and San Francisco and to investigate the factors determining the severity and duration of outbreak in these two cities.In particular,we consider the role of population density,transmission rates and social distancing on the disease dynamics and outcomes.Sensitivity analysis shows that there is a strongly negative correlation between the clustering coefficient in the pairwise model and the basic reproduction number and the effective reproduction number.The shelter in place policy makes the clustering coefficient increase thereby reducing the basic reproduction number and the effective reproduction number.By switching population densities in New York and San Francisco we demonstrate how the outbreak would progress if New York had the same density as San Francisco and vice-versa.The results underscore the crucial role that population density has in the epidemic outcomes.We also show that under the assumption of no further changes in policy or transmission dynamics not lifting the shelter in place policy would have little effect on final outbreak size in New York,but would reduce the final size in San Francisco by 97%. 展开更多
关键词 COVID-19 Social network QUARANTINE Social distance Clustering coefficient
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