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116 results on '"Yuan, Siyu"'

103. A new approach to inclusion removal using fine gas bubbles during IF steel production.

Author

Wang, Xiaofeng, Yuan, Siyu, Tang, Fuping, Yao, Weizhi, Lin, Yang, and Wang, Xu

Subjects
STEEL, CALCIUM carbonate, CHEMICAL decomposition, NOZZLES, POWDERS, METAL inclusions, METAL refining
Abstract

A new process has been developed for inclusion removal. This process involves the creation and dispersion of fine bubbles in molten steel by calcium carbonate powder injection through the nozzles of the up-snorkel in RH (Ruhstahl Hausen Process) degasser. The plant trials have been carried out in ANSTEEL and the ruling factors have been analysed. The results indicate that this novel technique is beneficial to separate the small non-metallic inclusion removal from the molten steel. Compared with the conventional inclusion removal technology, the number of the oxide inclusions can be decreased to a lower level and the inclusion becomes finer. Using this novel technology, the total oxygen in the as-cast slab can approach 6 ppm. [ABSTRACT FROM AUTHOR]

Published
2021
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106. Atomization Characteristics of Droplet and Morphologies of Arc Sprayed Ni-Al Particles and Composition Coatings

Author

Wang, Jixiao, primary, Wang, Jun, additional, Jin, Guo, additional, Wang, Li, additional, Mo, Caisong, additional, Ma, Li, additional, Li, Bairu, additional, Wang, Yongdong, additional, Shen, Hongxian, additional, Lu, Xing, additional, Lv, Yunzhuo, additional, Yuan, Siyu, additional, Zhang, Jian, additional, Huang, Yongjiang, additional, Cao, Fuyang, additional, and Sun, Jianfei, additional

Published
2019
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107. Study on the Temperature Changing Rules of U75V Rail in the Cooling Process

Author

Tong Shanhu, Jia Hao, Song Hua, Yuan Siyu, Jiang Juanjuan, Gao Mingxin, and Wang Zhongqiang

Subjects
Heavy rail cooling, Phase transition, Engineering, Computer simulation, Bending (metalworking), business.industry, Process (computing), Mechanical engineering, General Medicine, Deformation (meteorology), Temperature field, Volume (thermodynamics), Latent heat, Head (vessel), business, Engineering(all)
Abstract

Caused by the differences in volume and heat dissipation area of rail head and bottom, latent heat of phase transition releasing and other reasons, the complicated temperature changes occurs in rail head and bottom between during the cooling process, especially in solid state phase transition. In the paper, the ANSYS heat-stress couple module is adopted to carry on numerical simulation on the cooling process of 60 kg/m U75 V heavy rail. Though the post-processing result analyzed by using the post-processor module, we got the temperature changing rules for heavy rail cooling process. This paper is of great reference value for the bending deformation study in the hundred-meter heavy rail cooling processing.

Published
2011
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108. The Impacts of Emission Control and Regional Transport on PM2.5 Ions and Carbon Components in Nanjing during the 2014 Nanjing Youth Olympic Games

Author

University of Helsinki, Department of Physics, Zhou, Derong, Li, Bing, Huang, Xin, Virkkula, Aki, Wu, Haisuo, Zhao, Qiuyue, Zhang, Jie, Liu, Qiang, Li, Li, Li, Chunyan, Chen, Feng, Yuan, Siyu, Qiao, Yuezhen, Shen, Guofeng, Ding, Aijun, University of Helsinki, Department of Physics, Zhou, Derong, Li, Bing, Huang, Xin, Virkkula, Aki, Wu, Haisuo, Zhao, Qiuyue, Zhang, Jie, Liu, Qiang, Li, Li, Li, Chunyan, Chen, Feng, Yuan, Siyu, Qiao, Yuezhen, Shen, Guofeng, and Ding, Aijun

Abstract

Highly time-resolved measurements of water soluble ions, organic and elemental carbon concentrations in the particle diameter size range D-p <2.5 mu m (PM2.5) were performed at a downwind urban site in Nanjing in the western part of the Yangtze River Delta (YRD) in eastern China during the 2014 Youth Olympic Games (YOG). In this study, we discuss the impacts of emission control in Nanjing and the surrounding areas during the YOG and regional/long-range transport on PM2.5 pollution in Nanjing. The average concentrations of NO3-, SO42-, NH4+ were 12.1 +/- 9.9, 16.5 +/- 9.2, 9.0 +/- 5.4 mu g m(-3) during the YOG, and increased 34.3%, 53.7%, 43.9% after the YOG, respectively. The control of construction or on-road soil dust and control of industry led to the decrease of Ca2+ concentration by 55% and SO2 concentration by 46%. However, SO42- concentrations remained at relatively high levels, suggesting a significant impact of regional pollution to secondary fine particles in Nanjing. Strong correlations between OC and EC were observed during and after the YOG. A higher percentage (41%) of secondary organic carbon in Nanjing during the YOG periods was consistent with high potential photochemistry and low contributions from coal combustion. Lagrangian dispersion modelling results proved that the city clusters along the Nanjing and Shanghai axis were the major source region for high PM2.5 pollution in upwind Nanjing. This work shows that short-term strict control measures could improve the air quality, especially that affected by the primary pollutants; however, regional collaborative control strategy across administrative borders in the YRD is needed for a substantial improvement of air quality.

Published
2017

110. The Impacts of Emission Control and Regional Transport on PM2.5Ions and Carbon Components in Nanjing during the 2014 Nanjing Youth Olympic Games

Author

Zhou, Derong, Li, Bing, Huang, Xin, Virkkula, Aki, Wu, Haisuo, Zhao, Qiuyue, Zhang, Jie, Liu, Qiang, Li, Li, Li, Chunyan, Chen, Feng, Yuan, Siyu, Qiao, Yuezhen, Shen, Guofeng, and Ding, Aijun

Abstract

Highly time-resolved measurements of water soluble ions, organic and elemental carbon concentrations in the particle diameter size range Dp< 2.5 μm (PM2.5) were performed at a downwind urban site in Nanjing in the western part of the Yangtze River Delta (YRD) in eastern China during the 2014 Youth Olympic Games (YOG). In this study, we discuss the impacts of emission control in Nanjing and the surrounding areas during the YOG and regional/long-range transport on PM2.5pollution in Nanjing. The average concentrations of NO3−, SO42−, NH4+were 12.1 ± 9.9, 16.5 ± 9.2, 9.0 ± 5.4 μg m−3during the YOG, and increased 34.3%, 53.7%, 43.9% after the YOG, respectively. The control of construction or on-road soil dust and control of industry led to the decrease of Ca2+concentration by 55% and SO2concentration by 46%. However, SO42−concentrations remained at relatively high levels, suggesting a significant impact of regional pollution to secondary fine particles in Nanjing. Strong correlations between OC and EC were observed during and after the YOG. A higher percentage (41%) of secondary organic carbon in Nanjing during the YOG periods was consistent with high potential photochemistry and low contributions from coal combustion. Lagrangian dispersion modelling results proved that the city clusters along the Nanjing and Shanghai axis were the major source region for high PM2.5pollution in upwind Nanjing. This work shows that short-term strict control measures could improve the air quality, especially that affected by the primary pollutants; however, regional collaborative control strategy across administrative borders in the YRD is needed for a substantial improvement of air quality.

Published
2017
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111. CEPC Conceptual Design Report: Volume 2 - Physics & Detector

Author

Guimarães Da Costa, João Barreiro, Gao, Yuanning, Jin, Shan, Qian, Jianming, Tully, Christopher G., Young, Charles, Wang, Lian-Tao, Ruan, Manqi, Zhu, Hongbo, Dong, Mingyi, Ouyang, Qun, Wu, Zhigang, Deng, Zhi, Li, Yulan, Qi, Huirong, Wang, Meng, Fu, Chengdong, Yao, Wei-Ming, Grancagnolo, Franco, Liu, Jianbei, Hu, Tao, Yang, Haijun, Bedeschi, Franco, Ferrari, Roberto, Zhao, Wei, Zhu, Zian, Giacomelli, Paolo, Li, Liang, Li, Fei, Liu, Zhenan, Zhu, Kejun, Hou, Suen, Bozovic Jelisavcic, Ivanka, Li, Gang, Fang, Yaquan, Li, Qiang, Boonekamp, Maarten, Liang, Zhijun, Piccinini, Fulvio, Shi, Xin, Abbrescia, Marcello, Ahmad, Muhammad, Ai, Xiaocong, Albergo, Sebastiano, Aleem, Muhammad Abid, Alexeev, Maxim, Aliev, Malik, Altmannshofer, Wolfgang, Alves, Fábio, An, Fenfen, An, Guangpeng, An, Haipeng, An, Qi, An, Rui, Andreazza, Attilio, Anduze, Marc, Antonello, Massimiliano, Garcia Pascual, Juan Antonio, Antusch, Stefan, Arhrib, Abdesslam, Arkani-Hamed, Nima, Arndt, Kirk, Azzi, Patrizia, Azzurri, Paolo, Palmer, Robert B., Bai, Bowen, Bai, Sha, Bai, Yang, Bai, Yu, Balagura, Vladislav, Balossino, Ilaria, Ban, Yong, Barger, Vernon, Barklow, Timothy, Bartalini, Paolo, Becattini, Francesco, Bellagamba, Lorenzo, Belloni, Alberto, Bencivenni, Giovanni, Berg, J. Scott, Bernius, Catrin, Bertani, Monica, Bertella, Claudia, Bertucci, Michele, Bi, Xiaojun, Bi, Yuanjie, Bian, Ligong, Bian, Tianjian, Bianchi, Fabrizio, Bigi, Ikaros I., Biglietti, Michela, Bignami, Andrea, Bilei, Gianmario, Borgonovi, Lisa, Bortoletto, Daniela, Bortone, Alberto, Boscherini, Davide, Bosotti, Angelo, Boudry, Vincent, Braibant, Sylvie, Bramante, Joseph, Branchini, Paolo, Brient, Jean-Claude, Caccia, Massimo, Cai, Chengfeng, Cai, Hao, Cai, Wenyong, Cai, Xiao, Cai, Yiming, Cai, Yuchen, Cai, Yunhai, Cai, Zhiqiang, Cano Bret, Marc, Cao, Bo, Cao, Dewen, Cao, Jianshe, Cao, Junjie, Cao, Qing-Hong, Carloni Calame, Carlo Michel, Casanova, Raimon, Cavasinni, Vincenzo, Chai, Junying, Chai, Weiping, Chang, Ningbo, Chang, Qin, Chang, Spencer, Chang, We-Fu, Chang, Xuejun, Chang, Yuan-Hann, Chekanov, Sergei, Chen, Bin, Chen, Chunhui, Chen, Fusan, Chen, Gang, Chen, Guoming, Chen, Huan, Chen, Huirun, Chen, Lei, Chen, Liejian, Chen, Mingjun, Chen, Mingshui, Chen, Nian, Chen, Ning, Chen, Shanhong, Chen, Shanzhen, Chen, Shao-Long, Chen, Shaomin, Chen, Shenjian, Chen, Shi, Chen, Wei, Chen, Wen, Chen, Xin, Chen, Xun, Chen, Xurong, Chen, Ye, Chen, Yu, Chen, Yuan, Chen, Yuanbai, Chen, Yukai, Chen, Zhenxing, Cheng, Hao, Cheng, Hsin-Chia, Cheng, Huajie, Cheng, Jian, Cheng, Shan, Cheng, Tongguang, Cheng, Weishuai, Cheong, Sanha, Chi, Yunlong, Chiarello, Gianluigi, Chiesa, Mauro, Chiu, Wen Han, Chou, Weiren, Chu, Chungming Paul, Chu, Ming-Chung, Chu, Xiaotong, Chu, Zhaolin, Chua, Chun-Khiang, Cibinetto, Gianluigi, Ciuchini, Marco, Cobal, Marina, Cochran, James, Coelho Lopes Sa, Rafael, Cossio, Fabio, Craig, Nathaniel, Cui, Han, Cui, Hanhua, Cui, Xiaohao, Cui, Zhaoyuan, Curtin, David, D Agnolo, Raffaele Tito, Dai, Jian-Ping, Dai, Jianping, Dai, Jin, Dai, Lei, Dai, Wei, Dai, Xuwen, Curtis, Stefania, Filippis, Nicola, Lucia, Erika, Mori, Francesca, Delgado, Antonio, Demarteau, Marcel, Deng, Changdong, Deng, Wei-Tian, Destefanis, Marco, Dev, P. S. Bhupal, Di Micco, Biagio, Ding, Ran, Ding, Xuefeng, Ding, Yadong, Da Rocha Rolo, Manuel Dionisio, Domenici, Danilo, Dong, Bingbing, Dong, Chongmin, Dong, Dong, Dong, Haiyi, Dong, Jianing, Dong, Jing, Dong, Lan, Dopke, Jens, Dordevic, Milos, Dos Santos Ramos, Tiago, Draper, Patrick, Drewes, Marco, Du, Mingxuan, Duan, Guang Hua, Eklund, Lars, Eno, Sarah, Erler, Jens, Essig, Rouven, Fan, Jiji, Fan, Shenghong, Fan, Wenjie, Fan, Xiangning, Fang, Shuangshi, Fano, Livio, Farilla, Addolarata, Farinelli, Riccardo, Faus-Golfe, Angeles, Fedderke, Michael A., Felici, Giulietto, Feng, Changqing, Feng, Cunfeng, Feng, Feng, Feng, Jianxin, Feng, Jun, Feng, Tai-Fu, Fischer, Oliver, Flores Castillo, Luis Roberto, Fontanesi, Elisa, Freitas, Ayres, Frotin, M., Frugiuele, Claudia, Fu, Jinyu, Fu, Qibin, Fu, Shinian, Fuchs, Elina, Fukuda, Shigeki, Gabrielli, Emidio, Gaido, Luciano, Gan, Pingping, Gao, Jie, Gao, Jun, Gao, Wu, Gao, Yanyan, Gao, Yu, Garzia, Isabella, Gaudio, Gabriella, Ge, Shao-Feng, Geng, Chao-Qiang, Geng, Huiping, Li-Sheng Geng, Gentile, Simonetta, Giraud, J., Giudice, Gian, Godbole, Rohini M., Gong, Dianjun, Gong, Guanghua, Gong, Hui, Gong, Li, Gong, Lingling, Gori, Stefania, Gou, Quanbu, Greco, Mario, Greco, Michela, Gribanov, Sergei S., Grinstein, Sebastian, Grondin, D., Gu, Jiayin, Gu, Limin, Gu, Pei-Hong, Guidi, Vincenzo, Guo, Fangyi, Guo, Jingyuan, Guo, Jun, Guo, Lei, Guo, Xin, Guo, Yuanyuan, Guo, Zhigang, Gupta, Ramesh, Han, Chengcheng, Han, Dejun, Han, Jinzhong, Han, Liangliang, Han, Ran, Han, Ruixiong, Han, Shuang, Han, Yanliang, Han, Yubo, Hang, Yanfeng, Hao, Jiankui, Hao, Xiqing, He, Dayong, He, Hong-Jian, He, Jibo, He, Jun, He, Min, He, Xiang, He, Xianke, He, Xiaogang, He, Yangle, He, Zhenqiang, Heinemeyer, Sven, Heng, Yuekun, Hong, Daojin, Hong, Jiangliu, Hong, Yang, Hor, Yuenkeung, Hostachy, J. -Y, Hou, Qingbo, Hou, Zhilong, Hsu, Shih-Chieh, Hu, Bitao, Hu, Jifeng, Hu, Jun, Hu, Shouyang, Hu, Shuyang, Hu, Yongcai, Hu, Yu, Hu, Zhen, Hu, Zhongjun, Huang, Chao-Shang, Huang, Fapeng, Huang, Guangshun, Huang, Guo-Yuan, Huang, Jinghui, Huang, Jinshu, Huang, Junjie, Huang, Liangsheng, Huang, Rijun, Huang, Shuhui, Huang, Tongming, Huang, Tuchen, Huang, Xiaozhong, Huang, Xingtao, Huang, Xuguang, Huang, Yanping, Huang, Yongsheng, Huang, Yuyan, Huo, Ran, Ignatov, Fedor V., Iqbal, Munawar, Jackson, Paul, Javaid, Tahir, Ji, Daheng, Ji, Qingping, Ji, Xiaoli, Jia Jia, Jia, Junji, Jia, Yu, Jia, Zihang, Jiang, Jiechen, Jiang, Yun, Jiao, Jianbin, Jin, Dapeng, Jin, Mingjie, Jin, Song, Jin, Yanli, Jin, Yi, Jing, Maoqiang, John, Jaya, Jones, Tim, Ju, Xudong, Jueid, Adil, Jung, Sunghoon, Jyotishmati, Susmita, Kacarevic, Goran, Kane, Gordon, Kang, Wen, Karagoz, Muge, Kato, Chikuma, Ke, Zhiyong, Kharzeev, Dmitri, Khoze, Valentin, Kilic, Can, Kiuchi, Ryuta, Ko, Pyungwon, Kobayashi, Tetsuya, Kong, Panyu, Kong, Shibei, Kopp, Joachim, Kotwal, Ashutosh, Kozaczuk, Jonathan, Kozyrev, Evgeny A., Krasnov, Alexander, Kuflik, Eric, Kuo, Chia-Ming, Kwok, King Wai, Lagarde, Francois, Lai, Pei-Zhu, Laktineh, Imad, Lan, Boyang, Lan, Xiaofei, Lavezzi, Lia, Lee, Seung J., Lei, Ge, Leng, Yongbin, Leung, Sze Ching, Li, Bingzhi, Li, Bo, Li, Boyang, Li, Changhong, Li, Cheng, Li, Congqiao, Li, Dazhang, Li, Dikai, Li, Fengyun, Li, Gexing, Li, Guangrui, Li, Hai-Bo, Li, Haifeng, Li, Haoqing, Li, Hengne, Li, Honglei, Li, Huijing, Li, Jin, Li, Jing, Li, Jinmian, Li, Jinyan, Li, Jungang, Li, Kang, Li, Ke, Li, Li, Li, Lianming, Li, Long, Li, Mengran, Li, Minxian, Li, Peirong, Li, Peiyu, Li, Peng, Li, Qiaodan, Li, Quansheng, Li, Rui, Li, Shaopeng, Li, Shiyuan, Li, Shu, Li, Tianjun, Li, Tong, Li, Weiguo, Li, Wenjun, Li, Xiaoling, Li, Xiaomei, Li, Xiaoping, Li, Xin, Li, Xingguo, Li, Xin-Qiang, Li, Yanwei, Li, Yiming, Ying Li, Li, Ying-Ying, Li, Yufeng, Li, Zhao, Li, Zhenghua, Li, Zhihui, Li, Zhongquan, Li, Ziyuan, Liang, Chaohui, Liang, Hao, Liang, Jing, Liang, Jinhan, Liang, Zuotang, Liao, Hean, Liao, Hongbo, Liao, Jinfeng, Liao, Libo, Liao, Wei, Liao, Yi, Liao, Yunfeng, Lin, Chuangxin, Lin, Hai, Lin, Haiying, Ling, Jiajie, Ling, Pan, Lisanti, Mariangela, Liu, Ao, Liu, Baiqi, Liu, Beijiang, Liu, Bing, Liu, Bo, Liu, Dianyu, Liu, Dong, Liu, Fu-Hu, Liu, Hongbang, Liu, Hu, Liu, Jia, Liu, Jiaming, Liu, Jian, Liu, Jianfei, Liu, Jiangtao, Liu, Jie, Liu, Jindong, Liu, Kexin, Liu, Ling, Liu, Liqiang, Liu, Ming, Liu, Ning, Liu, Peilian, Liu, Qian, Liu, Qingyuan, Liu, Shubin, Liu, Shulin, Liu, Tao, Liu, Weitao, Liu, Wendi, Liu, Xiang, Liu, Xiaohui, Liu, Xin, Liu, Xuesong, Liu, Xuewen, Liu, Xuyang, Liu, Yandong, Liu, Yang, Liu, Yanlin, Liu, Yi, Liu, Yong, Liu, Yudong, Liu, Zengqiang, Liu, Zeyuan, Liu, Zhanfeng, Liu, Zhaofeng, Liu, Zhen, Liu, Zhenchao, Liu, Zhongxiu, Liu, Zuowei, Llorente Merino, Javier, Lo, Cheuk Yee, Logashenko, Ivan B., Long, Andrew, Lou, Xinchou, Low, Ian, Low, Matthew, Lu, Cai-Dian, Lu, Wei, Lu, Weiguo, Lu, Yuanrong, Lu, Yunpeng, Lu, Zhijun, Lukic, Strahinja, Luo, Mingcheng, Luo, Pengwei, Luo, Qing, Luo, Tao, Luo, Xiaofeng, Luo, Yanting, Luo, Zhenhuan, Lyu, Kunfeng, Lyu, Xiaorui, Ma, Huizhou, Ma, Kai, Ma, Lianliang, Ma, Na, Ma, Qiang, Ma, Rui, Ma, Wen-Gan, Ma, Xiao, Ma, Xiaotian, Ma, Xinpeng, Ma, Yanling, Ma, Yanqing, Ma, Yongsheng, Ma, Yue, Ma, Zhongjian, Maggiora, Marco, Magniette, Frédéric, Malamud, Ernie, Mangano, Michelangelo, Mao, Lijun, Mao, Mingling, Mao, Yajun, Mao, Yanmin, Mao, Yanyan, Martin, Adam, Martinez Outschoorn, Verena Ingrid, Matsumoto, Shigeki, Mccullough, Matthew, Mcmahon, Steve, Meade, Patrick, Mele, Barbara, Mellado, Bruce, Men, Lingling, Meng, Cai, Meng, Fanbo, Mezzadri, Giulio, Mi, Zhenghui, Michelato, Paolo, Min, Tianjue, Ming, Lei, Mittal, Monika, Molson, James, Monaco, Laura, Montagna, Guido, Morello, Gianfranco, Moretti, Mauro, Mu, Zhihui, Nanni, Jérome, Neubert, Matthias, Nicrosini, Oreste, Nie, Changshan, Nikitin, Sergei, Ning, Feipeng, Ning, Guo-Zhu, Nishu, Nishu, Niu, Yazhou, Ojalvo, Isobel, Okunev, Ivan, Ospanov, Rustem, Pagani, Carlo, Paganis, Stathes, Panareo, Marco, Pandurovic, Mila, Pang, Tong, Panizzo, Giancarlo, Paparella, Rocco, Parida, Bibhuti, Passemar, Emilie, Pei, Guoxi, Pei, Shilun, Peng, Quanling, Peng, Xiaohua, Peng, Yuemei, Petrov, Alexey, Pezzotti, Lorenzo, Pierre-Émile, Thomas, Ping, Rong-Gang, Plackett, Richard, Polesello, Giacomo, Poli Lener, Marco, Polini, Alessandro, Popov, Alexandr S., Prell, Soeren, Qi, Ming, Qian, Sen, Qian, Zhuoni, Qiao, Cong-Feng, Qiao, Yusi, Qin, Guang-You, Qin, Qin, Qin, Qing, Qin, Zhonghua, Qu, Huamin, Ramani, Harikrishnan, Ramsey-Musolf, Michael, Redaelli, Stefano, Reece, Matthew, Ren, Jing, Rischke, Dirk, Rivetti, Angelo, Roda, Chiara, Rolandi, Luigi, Rompotis, Nikolaos, Ruan, Xifeng, Ruiz, Richard, Sabbi, Gianluca, Sang, Wen-Long, Santoro, Romualdo, Sanz-Cillero, Juan J., Schlaffer, Matthias, Schmid, Frank, Schuster, Philip, Schuy, Alex, Schwaller, Pedro, Sciuto, Antonella, Sen, Tanaji, Sertore, Daniele, Sha, Peng, Shan, Lianyou, Shang, Feng, Shao, Dingyu, Shao, Jianxiong, Shashkov, Yaroslav, Shelton, Jessie, Shen, Cheng-Ping, Shen, Peixun, Shen, Qiuping, Shen, Yang, Shen, Yuqiao, Shen, Zhongtao, Shi, Can, Shi, Haoyu, Shi, Jingyuan, Shi, Liaoshan, Shi, Renjie, Shi, Yu-Ji, Shi, Yukun, Shi, Yulong, Shin, Seodong, Shipsey, Ian, Shiu, Gary, Shu, Guan, Shu, Jing, Si, Zonguo, Silvestrini, Luca, Sinyatkin, Sergey, Song, Hong, Song, Mao, Song, Weimin, Stamou, Emannuel, Stratakis, Diktys, Su, Dong, Su, Feng, Su, Shufang, Su, Wanyun, Su, Wei, Su, Yangjie, Sui, Yanfeng, Sullivan, Michael, Sun, Baogeng, Sun, Daming, Sun, Guoqiang, Sun, Hao, Sun, Junfeng, Sun, Liang, Sun, Peng, Sun, Qingfeng, Sun, Shengsen, Sun, Sichun, Sun, Tingting, Sun, Xiangming, Sun, Xianjing, Sun, Xilei, Sun, Yanjun, Sun, Yongzhao, Sundrum, Raman, Tang, Chuanxiang, Tang, Guangyi, Tang, Jian, Tang, Jiannan, Tang, Jingyu, Tang, Songzhi, Tang, Yi-Lei, Tao, Jia, Tao, Junquan, Tassielli, Giovanni, Tenchini, Roberto, Teytelman, Dmitry, Thaler, Jesse, Tian, Saike, Tian, Xingcheng, Tonelli, Guido, Tong, Xinyu, Trentadue, Luca, Tsai, Yuhsin, Tsybychev, Dmitri, Tu, Yanjun, Tweedie, Brock, Unwin, James, Verducci, Monica, Vicini, Alessandro, Videau, Henri, Viehhauser, Georg, Vivarelli, Iacopo, Vossebeld, Joost, Vukasinovic, Natasa, Wan, Xia, Wang, Biao, Wang, Bin, Wang, Binlong, Wang, Bo, Wang, Chengtao, Wang, Chengwei, Wang, Chenliang, Wang, Dayong, Wang, Dou, Wang, Fei, Wang, Feng, Wang, Gang, Wang, Haijing, Wang, Haiyun, Wang, Hui, Wang, Jian, Wang, Jianchun, Wang, Jianli, Wang, Jianxiong, Wang, Jiawei, Wang, Jie, Wang, Jin, Wang, Jing, Wang, Jinwei, Wang, Ke, Wang, Kechen, Wang, Kunfu, Wang, Liangliang, Wang, Lijiao, Wang, Linlin, Wang, Longge, Wang, Lu, Wang, Meifen, Wang, Na, Wang, Pengcheng, Wang, Qun, Wang, Qunyao, Wang, Ran, Wang, Ren-Jie, Wang, Rongkun, Wang, Shaobo, Wang, Shaozhe, Wang, Shengchang, Wang, Shuzheng, Wang, Siguang, Wang, Tianhong, Wang, Tong, Wang, Wei, Wang, Weiping, Wang, Wenyu, Wang, Xi, Wang, Xiangjian, Wang, Xiangqi, Wang, Xiaolong, Wang, Xiaoning, Wang, Xiaoping, Wang, Xin, Wang, Xingze, Wang, Xiongfei, Wang, Yan, Wang, Yaqian, Wang, Yi, Wang, Yifang, Wang, Ying, Wang, Yiwei, Wang, Yong, Wang, Youkai, Wang, Yu, Wang, Yufeng, Wang, Yuhao, Wang, Zhaofeng, Wang, Zhigang, Wang, Zhipeng, Wang, Zhiyong, Wang, Zirui, Wang, Zixun, Wang, Zongyuan, Wei, Runing, Wei, Shujun, Wei, Wei, Wei, Xiaomin, Wei, Yuanyuan, Wei, Yuqian, Wen, Shuopin, Wen, Zhiwen, Willocq, Stephane, Witte, Holger, Wu, Jinfei, Wu, Juan, Wu, Kewei, Wu, Lei, Wu, Linghui, Wu, Mengqing, Wu, Peiwen, Wu, Tianya, Wu, Wenhuan, Wu, Xi, Wu, Xiao-Hong, Wu, Xing-Gang, Wu, Xu, Wu, Xueting, Wu, Ye, Wu, Yuwen, Wu, Zhi, Xia, Wenhao, Xiang, Dao, Xiang, Qian-Fei, Xianyu, Zhong-Zhi, Xiao, Bo-Wen, Xiao, Dengjie, Xiao, Ning, Xiao, Ouzheng, Xiao, Rui-Qing, Xiao, Yu, Xiao, Zhen-Jun, Xie, Ke-Pan, Xie, Xinhai, Xie, Yuehong, Xie, Yuguang, Xie, Zongtai, Xing, Qingzhi, Xing, Zhizhong, Xiu, Qinglei, Xu, Chang, Xu, Da, Xu, Fanrong, Xu, Guanglei, Xu, Guangzhi, Xu, Haocheng, Xu, Hongge, Xu, Hongliang, Xu, Hui, Xu, Ji, Xu, Nu, Xu, Qing, Xu, Qingjin, Xu, Qingjun, Xu, Wei, Xu, Yin, Xu, Yongheng, Xu, Zijun, Xue, Wei, Yan, Bin, Yan, Jun, Yan, Liang, Yan, Mingyang, Yan, Qi-Shu, Yan, Tian, Yan, Wenbiao, Yan, Yingbing, Yang, Bingfang, Yang, Huan, Yang, Jiancheng, Yang, Jianquan, Yang, Jin Min, Yang, Jing, Yang, Junfeng, Yang, Li, Yang, Liu, Yang, Mei, Yang, Ping, Yang, Qianwen, Yang, Xingwang, Yang, Xuan, Yang, Ye, Yang, Ying, Yang, Yong, Yang, Yongliang, Yang, Yueling, Yang, Zhenwei, Yao, Weichao, Yatsenko, Elena, Ye, Hanfei, Ye, Jingbo, Ye, Mei, Ye, Qiang, Ye, Ziping, Yi, Fang, Yi, Kai, Yilun, Xue, Yin, Hang, Yin, Pengfei, Yin, Xiangwei, Yin, Ze, Yin, Zhongbao, You, Zhengyun, Yu, Boxiang, Yu, Chenghui, Yu, Chunxu, Yu, Dan, Yu, Felix, Yu, Fusheng, Yu, Lingda, Yu, Lu, Yu, Yue, Yu, Zhao-Huan, Yuan, Li, Yuan, Siyu, Yuan, Ye, Yuan, Youjin, Yuan, Zhiyang, Yue, Chongxing, Yue, Junhui, Yue, Qian, Zaib, Un-Nisa, Zhai, Jian, Zhai, Jiyuan, Zhang, Baotang, Zhang, Ben-Wei, Zhang, Bo, Zhang, Bowen, Zhang, Cen, Zhang, Chad, Zhang, 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Zhao, Yu, Zhao, Yue, Zhao, Zhengguo, Zhao, Zhen-Xing, Zhao, Zhuo, Zheng, Bo, Zheng, Hongjuan, Zheng, Liang, Zheng, Ran, Zheng, Shuxin, Zheng, Taifan, Zheng, Xuxing, Zheng, Ya-Juan, Zheng, Yangheng, Zhi, Yu, Zhong, Bin, Zhong, Yiming, Zhou, Bing, Zhou, Hai-Qing, Zhou, Hang, Zhou, Jia, Zhou, Jianxin, Zhou, Jing, Zhou, Maosen, Zhou, Nan, Zhou, Ning, Zhou, Ningchuang, Zhou, Shiyu, Zhou, Shun, Zhou, Sihong, Zhou, Siyi, Zhou, Xiang, Zhou, Yang, Zhou, Yi, Zhou, Yu-Feng, Zhou, Zusheng, Zhu, Changhe, Zhu, Chengguang, Zhu, Chenzheng, Zhu, Dechong, Zhu, Hongyan, Zhu, Hua-Xing, Zhu, Jiamin, Zhu, Jiang, Zhu, Jingya, Zhu, Jingyu, Zhu, Junjie, Zhu, Kai, Zhu, Kun, Zhu, Li, Zhu, Ruilin, Zhu, Xianglei, Zhu, Xuezheng, Zhu, Yifan, Zhu, Yingshun, Zhu, Yongfeng, Zhuang, Xuai, Zong, Hongshi, Zou, Cong, Zou, Jiaheng, Zou, Ye, Zupan, Jure, Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Laboratoire Leprince-Ringuet (LLR), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de l'Accélérateur Linéaire (LAL), Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Galaxies, Etoiles, Physique, Instrumentation (GEPI), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique Subatomique et de Cosmologie (LPSC), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Institut de Physique Nucléaire de Lyon (IPNL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE (UMR_7585)), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), CEPC Study Group, Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Sud - Paris 11 (UP11), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), and HEP, INSPIRE

Subjects
detector: technology, Higgs particle: particle source, electron positron: storage ring, [PHYS.HEXP] Physics [physics]/High Energy Physics - Experiment [hep-ex], engineering, FOS: Physical sciences, threshold: production, electron positron: annihilation, B-factory, High Energy Physics - Experiment, High Energy Physics - Experiment (hep-ex), High Energy Physics - Phenomenology (hep-ph), [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], accelerator: technology, detector: design, Particle Physics - Phenomenology, new physics, hep-ex, Z0: decay, Higgs-factory, High Energy Physics::Phenomenology, Z0: particle source, hep-ph, electron positron: colliding beams, sensitivity, CEPC, High Energy Physics - Phenomenology, tau: particle source, 240 GeV-cms, vertex: primary, Higgs particle: electroproduction, charm: particle source, High Energy Physics::Experiment, proposed experiment, numerical calculations: Monte Carlo, Z0-factory, performance, Particle Physics - Experiment
Abstract

The Circular Electron Positron Collider (CEPC) is a large international scientific facility proposed by the Chinese particle physics community to explore the Higgs boson and provide critical tests of the underlying fundamental physics principles of the Standard Model that might reveal new physics. The CEPC, to be hosted in China in a circular underground tunnel of approximately 100 km in circumference, is designed to operate as a Higgs factory producing electron-positron collisions with a center-of-mass energy of 240 GeV. The collider will also operate at around 91.2 GeV, as a Z factory, and at the WW production threshold (around 160 GeV). The CEPC will produce close to one trillion Z bosons, 100 million W bosons and over one million Higgs bosons. The vast amount of bottom quarks, charm quarks and tau-leptons produced in the decays of the Z bosons also makes the CEPC an effective B-factory and tau-charm factory. The CEPC will have two interaction points where two large detectors will be located. This document is the second volume of the CEPC Conceptual Design Report (CDR). It presents the physics case for the CEPC, describes conceptual designs of possible detectors and their technological options, highlights the expected detector and physics performance, and discusses future plans for detector R&D and physics investigations. The final CEPC detectors will be proposed and built by international collaborations but they are likely to be composed of the detector technologies included in the conceptual designs described in this document. A separate volume, Volume I, recently released, describes the design of the CEPC accelerator complex, its associated civil engineering, and strategic alternative scenarios., 424 pages

113. Fusion of FDG and FMZ PET Reduces False Positive in Predicting Epileptogenic Zone.

Author

Cai B, Jiang S, Huang H, Li J, Yuan S, Cui Y, Bao W, Hu J, Luo J, and Chen L

Abstract

Background and Purpose: Epilepsy, a globally prevalent neurological disorder, necessitates precise identification of the epileptogenic zone (EZ) for effective surgical management. While the individual utilities of FDG PET and FMZ PET have been demonstrated, their combined efficacy in localizing the epileptogenic zone remains underexplored. We aim to improve the non-invasive prediction of epileptogenic zone (EZ) in temporal lobe epilepsy (TLE) by combining FDG PET and FMZ PET with statistical feature extraction and machine learning., Materials and Methods: This study included 20 drug-resistant unilateral TLE patients (14 mesial TLE, 6 lateral TLE), and two control groups (N=29 for FDG, N=20 for FMZ). EZ of each patient was confirmed by post-surgical pathology, and one-year follow-up, while propagation zone (PZ) and non-involved zone (NIZ) were derived from the epileptogenicity index based on presurgical stereo-encephalography (SEEG) monitoring. Whole brain PET scans were obtained with dual tracers [ 18 F]FDG and [ 18 F]FMZ on separate days, from which standard uptake value ratio (SUVR) was calculated by global mean scaling. Low-order statistical parameters of SUVRs and t-maps derived against control groups were extracted. Additionally, fused FDG and FMZ features were created using arithmetic operations. Spearman correlation was used to investigate the associations between FDG and FMZ, while multiple linear regression analysis was used to explore the interaction effects of imaging features in predicting epileptogenicity. Crafted imaging features were used to train logistic regression models to predict EZ, whose performance was evaluated using 10-fold cross-validation at ROI-level, and leave-one-patient-out cross-validation at patient-level., Results: FDG SUVR significantly decreased in EZ and PZ compared to NIZ, while FMZ SUVR in EZ significantly differed from PZ. Interaction effects were found between FDG and FMZ in their prediction of epileptogenicity. Fusion of FDG and FMZ provided the best prediction model with an area under the curve (AUC) of 0.86 [0.84-0.87] for EZ vs. NIZ and an AUC of 0.79 [0.77-0.81] for EZ vs. PZ, eliminating 100% false positives in 50% of patients, and ≥80% FPs in 90% patients at patient level., Conclusions: Combined FDG and FMZ offer a promising avenue for non-invasive localization of the epileptogenic zone in TLE, potentially refining surgical planning., Abbreviations: AUC = Area under the curve; EI = Epileptogenicity index; EZ = Epileptogenic zone; FMZ = Flumazenil; GABAA = Gammaaminobutyric acid type A; NIZ = Not-involved zone; PZ = Propagation zone; SEEG = Stereo-electroencephalography; SUVR = Standard uptake value ratio; TLE = Temporal lobe epilepsy., Competing Interests: The authors declare no conflicts of interest related to the content of this article., (© 2025 by American Journal of Neuroradiology.)

Published
2025
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114. The pathogenic mechanism of monosodium urate crystal-induced kidney injury in a rat model.

Author

Li D, Li Y, Chen X, Ouyang J, Lin D, Wu Q, Fu X, Quan H, Wang X, Wu S, Yuan S, Liu A, Zhao J, Liu X, Zhu G, Li C, and Mao W

Subjects
Animals, Rats, Male, Kidney pathology, Kidney drug effects, Kidney metabolism, Kidney Diseases pathology, Kidney Diseases chemically induced, Kidney Diseases metabolism, Fibrosis, Crystallization, Creatinine blood, Uric Acid, Disease Models, Animal, Rats, Sprague-Dawley
Abstract

Objective: (MSU) crystals usually in the kidney tubules especially collecting ducts in the medulla. Previous animal models have not fully reproduced the impact of MSU on kidneys under non-hyperuricemic conditions., Methods: In the group treated with MSU, the upper pole of the rat kidney was injected intrarenally with 50 mg/kg of MSU, while the lower pole was injected with an equivalent volume of PBS solution. The body weight and kidney mass of the rats were observed and counted. H&E staining was used to observe the pathological damage of the kidney and to count the number of inflammatory cells. Masoon staining was used to observe the interstitial fibrosis in the kidneys of the rat model. Flow cytometric analysis was used for counting inflammatory cells in rats. ElISA was used to measure the concentration of serum and urine uric acid, creatinine and urea nitrogen in rats., Results: At the MSU injection site, a significantly higher infiltration of inflammatory cells and a substantial increase in the area of interstitial fibrosis compared to the control group and the site of PBS injection were observed. The serum creatinine level was significantly increased in the MSU group. However, there were no significant differences in the rats' general conditions or blood inflammatory cell counts when compared to the control group., Conclusion: The injection of urate crystals into the kidney compromised renal function, caused local pathological damage, and increased inflammatory cell infiltration and interstitial fibrosis. Intrarenal injection of MSU crystals may result in urate nephropathy. The method of intrarenal injection did not induce surgical infection or systemic inflammatory response., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Li, Li, Chen, Ouyang, Lin, Wu, Fu, Quan, Wang, Wu, Yuan, Liu, Zhao, Liu, Zhu, Li and Mao.)

Published
2024
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115. The dysregulation of immune cells induced by uric acid: mechanisms of inflammation associated with hyperuricemia and its complications.

Author

Li D, Yuan S, Deng Y, Wang X, Wu S, Chen X, Li Y, Ouyang J, Lin D, Quan H, Fu X, Li C, and Mao W

Subjects
Humans, Uric Acid metabolism, Inflammation complications, Hyperuricemia complications, Hyperuricemia metabolism, Gout drug therapy, Arthritis, Gouty drug therapy
Abstract

Changes in lifestyle induce an increase in patients with hyperuricemia (HUA), leading to gout, gouty arthritis, renal damage, and cardiovascular injury. There is a strong inflammatory response in the process of HUA, while dysregulation of immune cells, including monocytes, macrophages, and T cells, plays a crucial role in the inflammatory response. Recent studies have indicated that urate has a direct impact on immune cell populations, changes in cytokine expression, modifications in chemotaxis and differentiation, and the provocation of immune cells by intrinsic cells to cause the aforementioned conditions. Here we conducted a detailed review of the relationship among uric acid, immune response, and inflammatory status in hyperuricemia and its complications, providing new therapeutic targets and strategies., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Li, Yuan, Deng, Wang, Wu, Chen, Li, Ouyang, Lin, Quan, Fu, Li and Mao.)

Published
2023
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116. A SEIARQ model combine with Logistic to predict COVID-19 within small-world networks.

Author

Liu Q, Yuan S, and Wang X

Subjects
Humans, SARS-CoV-2, China epidemiology, Computer Simulation, COVID-19 epidemiology, Epidemics
Abstract

Since the COVID-19 epidemic, mathematical and simulation models have been extensively utilized to forecast the virus's progress. In order to more accurately describe the actual circumstance surrounding the asymptomatic transmission of COVID-19 in urban areas, this research proposes a model called Susceptible-Exposure-Infected-Asymptomatic-Recovered-Quarantine in a small-world network. In addition, we coupled the epidemic model with the Logistic growth model to simplify the process of setting model parameters. The model was assessed through experiments and comparisons. Simulation results were analyzed to explore the main factors affecting the spread of the epidemic, and statistical analysis that was applied to assess the model's accuracy. The results are consistent well with epidemic data from Shanghai, China in 2022. The model can not only replicate the real virus transmission data, but also anticipate the development trend of the epidemic based on available data, so that health policy-makers can better understand the spread of the epidemic.

Published
2023
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