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| 1 | Future Physics Programme of BESⅢ显示文摘There has recently been a dramatic renewal of interest in hadron spectroscopy and charm physics. This renaissance has been driven in part by the discovery of a plethora of charmonium-like XYZ states at BESⅢ and B factories, and the observation of an intriguing proton-antiproton threshold enhancement and the possibly related X(1835) meson state at BESⅢ, as well as the threshold measurements of charm mesons and charm baryons. We present a detailed survey of the important topics in tau-charm physics and hadron physics that can be further explored at BESⅢ during the remaining operation period of BEPCⅡ. This survey will help in the optimization of the data-taking plan over the coming years, and provides physics motivation for the possible upgrade of BEPCⅡ to higher luminosity. | M.Ablikim M.N.Achasov P.Adlarson S.Ahmed M.Albrecht M.Alekseev A.Amoroso F.F.An Q.An Y.Bai O.Bakina R.Baldini Ferroli Y.Ban K.Begzsuren J.V.Bennett N.Berger M.Bertani D.Bettoni F.Bianchi J Biernat J.Bloms I.Boyko R.A.Briere L.Calibbi H.Cai X.Cai A.Calcaterra G.F.Cao N.Cao S.A.Cetin J.Chai J.F.Chang W.L.Chang J.Charles G.Chelkov Chen G.Chen H.S.Chen J.C.Chen M.L.Chen S.J.Chen Y.B.Chen H.Y.Cheng W.Cheng G.Cibinetto F.Cossio X.F.Cui H.L.Dai J.P.Dai X.C.Dai A.Dbeyssi D.Dedovich Z.Y.Deng A.Denig Denysenko M.Destefanis S.Descotes-Genon F.De Mori Y.Ding C.Dong J.Dong L.Y.Dong M.Y.Dong Z.L.Dou S.X.Du S.I.Eidelman J.Z.Fan J.Fang S.S.Fang Y.Fang R.Farinelli L.Fava F.Feldbauer G.Felici C.Q.Feng M.Fritsch C.D.Fu Y.Fu Q.Gao X.L.Gao Y.Gao Y.Gao Y.G.Gao Z.Gao B.Garillon I.Garzia E.M.Gersabeck A.Gilman K.Goetzen L.Gong W.X.Gong W.Gradl M.Greco L.M.Gu M.H.Gu Y.T.Gu A.Q.Guo F.K.Guo L.B.Guo R.P.Guo Y.P.Guo A.Guskov S.Han X.Q.Hao F.A.Harris K.L.He F.H.Heinsius T.Held Y.K.Heng Y.R.Hou Z.L.Hou H.M.Hu J.F.Hu T.Hu Y.Hu G.S.Huang J.S.Huang X.T.Huang X.Z.Huang Z.L.Huang N.Huesken T.Hussain W.Ikegami Andersson W.Imoehl M.Irshad Q.Ji Q.P.Ji X.B.Ji X.L.Ji H.L.Jiang X.S.Jiang X.Y.Jiang J.B.Jiao Z.Jiao D.P.Jin S.Jin Y.Jin T.Johansson N.Kalantar-Nayestanaki X.S.Kang R.Kappert M.Kavatsyuk B.C.Ke I.K.Keshk T.Khan A.Khoukaz P.Kiese R.Kiuchi R.Kliemt L.Koch O.B.Kolcu B.Kopf M.Kuemmel M.Kuessner A.Kupsc M.Kurth M.G.Kurth W.Kuhn J.S.Lange P.Larin L.Lavezzi H.Leithoff T.Lenz C.Li Cheng Li D.M.Li F.Li F.Y.Li G.Li H.B.Li H.J.Li J.C.Li J.W.Li Ke Li L.K.Li Lei Li P.L.Li P.R.Li Q.Y.Li W.D.Li W.G.Li X.H.Li X.L.Li X.N.Li X.Q.Li Z.B.Li H.Liang H.Liang Y.F.Liang Y.T.Liang G.R.Liao L.Z.Liao J.Libby C.X.Lin D.X.Lin Y.J.Lin B.Liu B.J.Liu C.X.Liu D.Liu D.Y.Liu F.H.Liu Fang Liu Feng Liu H.B.Liu H.M.Liu Huanhuan Liu Huihui Liu J.B.Liu J.Y.Liu K.Y.Liu Ke Liu Q.Liu S.B.Liu T.Liu X.Liu X.Y.Liu Y.B.Liu Z.A.Liu Zhiqing Liu Y.F.Long X.C.Lou H.J.Lu J.D.Lu J.G.Lu Y.Lu Y.P.Lu C.L.Luo M.X.Luo P.W.Luo T.Luo X.L.Luo S.Lusso X.R.Lyu F.C.Ma H.L.Ma L.L.Ma M.M.Ma Q.M.Ma X.N.Ma X.X.Ma X.Y.Ma Y.M.Ma F.E.Maas M.Maggiora S.Maldaner S.Malde Q.A.Malik A.Mangoni Y.J.Mao Z.P.Mao S.Marcello Z.X.Meng J.G.Messchendorp G.Mezzadri J.Min T.J.Min R.E.Mitchell X.H.Mo Y.J.Mo C.Morales Morales N.Yu.Muchnoi H.Muramatsu A.Mustafa S.Nakhoul Y.Nefedov F.Nerling I.B.Nikolaev Z.Ning S.Nisar S.L.Niu S.L.Olsen Q.Ouyang S.Pacetti Y.Pan M.Papenbrock P.Patteri M.Pelizaeus H.P.Peng K.Peters A.A.Petrov J.Pettersson J.L.Ping R.G.Ping A.Pitka R.Poling V.Prasad M.Qi T.Y.Qi S.Qian C.F.Qiao N.Qin X.P.Qin X.S.Qin Z.H.Qin J.F.Qiu S.Q.Qu K.H.Rashid C.F.Redmer M.Richter M.Ripka A.Rivetti V.Rodin M.Rolo G.Rong J.L.Rosner Ch.Rosner M.Rump A.Sarantsev M.Savrie K.Schoenning W.Shan X.Y.Shan M.Shao C.P.Shen P.X.Shen X.Y.Shen H.Y.Sheng X.Shi X.D Shi J.J.Song Q.Q.Song X.Y.Song S.Sosio C.Sowa S.Spataro F.F.Sui G.X.Sun J.F.Sun L.Sun S.S.Sun X.H.Sun Y.J.Sun Y.K Sun Y.Z.Sun Z.J.Sun Z.T.Sun Y.T Tan C.J.Tang G.Y.Tang X.Tang V.Thoren B.Tsednee I.Uman B.Wang B.L.Wang C.W.Wang D.Y.Wang H.H.Wang K.Wang L.L.Wang L.S.Wang M.Wang M.Z.Wang Wang Meng P.L.Wang R.M.Wang W.P.Wang X.Wang X.F.Wang X.L.Wang Y.Wang Y.F.Wang Z.Wang Z.G.Wang Z.Y.Wang Zongyuan Wang T.Weber D.H.Wei P.Weidenkaff H.W.Wen S.P.Wen U.Wiedner G.Wilkinson M.Wolke L.H.Wu L.J.Wu Z.Wu L.Xia Y.Xia S.Y.Xiao Y.J.Xiao Z.J.Xiao Y.G.Xie Y.H.Xie T.Y.Xing X.A.Xiong Q.L.Xiu G.F.Xu L.Xu Q.J.Xu W.Xu X.P.Xu F.Yan L.Yan W.B.Yan W.C.Yan Y.H.Yan H.J.Yang H.X.Yang L.Yang R.X.Yang S.L.Yang Y.H.Yang Y.X.Yang Yifan Yang Z.Q.Yang M.Ye M.H.Ye J.H.Yin Z.Y.You B.X.Yu C.X.Yu J.S.Yu C.Z.Yuan X.Q.Yuan Y.Yuan A.Yuncu A.A.Zafar Y.Zeng B.X.Zhang B.Y.Zhang C.C.Zhang D.H.Zhang H.H.Zhang H.Y.Zhang J.Zhang J.L.Zhang J.Q.Zhang J.W.Zhang J.Y.Zhang J.Z.Zhang K.Zhang L.Zhang S.F.Zhang T.J.Zhang X.Y.Zhang Y.Zhang Y.H.Zhang Y.T.Zhang Yang Zhang Yao Zhang Yi Zhang Yu Zhang Z.H.Zhang Z.P.Zhang Z.Q.Zhang Z.Y.Zhang G.Zhao J.W.Zhao J.Y.Zhao J.Z.Zhao Lei Zhao Ling Zhao M.G.Zhao Q.Zhao S.J.Zhao T.C.Zhao Y.B.Zhao Z.G.Zhao A.Zhemchugov B.Zheng J.P.Zheng Y.Zheng Y.H.Zheng B.Zhong L.Zhou L.P.Zhou Q.Zhou X.Zhou X.K.Zhou Xingyu Zhou Xiaoyu Zhou Xu Zhou A.N.Zhu J.Zhu J.Zhu K.Zhu K.J.Zhu S.H.Zhu W.J.Zhu X.L.Zhu Y.C.Zhu Y.S.Zhu Z.A.Zhu J.Zhuang B.S.Zou J.H.Zou 无 | 2020 | Chinese Physics C2020，44，4： | 517 |
| 2 | Study of BESIII trigger efficiencies with the 2018 J/ψ data显示文摘Using a dedicated data sample taken in 2018 on the J/ψpeak,we perform a detailed study of the trigger efficiencies of the BESIII detector.The efficiencies are determined from three representative physics processes,namely Bhabha scattering,dimuon production and generic hadronic events with charged particles.The combined efficiency of all active triggers approaches 100%in most cases,with uncertainties small enough not to affect most physics analyses. | M.Ablikim M.N.Achasov P.Adlarson S.Ahmed M.Albrecht R.Aliberti A.Amoroso M.R.An Q.An X.H.Bai Y.Bai O.Bakina R.Baldini Ferroli I.Balossino Y.Ban K.Begzsuren N.Berger M.Bertani D.Bettoni F.Bianchi J.Bloms A.Bortone I.Boyko R.A.Briere H.Cai X.Cai A.Calcaterra G.F.Cao N.Cao S.A.Cetin J.F.Chang W.L.Chang G.Chelkov D.Y.Chen G.Chen H.S.Chen M.L.Chen S.J.Chen X.R.Chen Y.B.Chen Z.J Chen W.S.Cheng G.Cibinetto F.Cossio X.F.Cui H.L.Dai X.C.Dai A.Dbeyssi R.E.de Boer D.Dedovich Z.Y.Deng A.Denig I.Denysenko M.Destefanis F.De Mori Y.Ding C.Dong J.Dong L.Y.Dong M.Y.Dong X.Dong S.X.Du Y.L.Fan J.Fang S.S.Fang Y.Fang R.Farinelli L.Fava F.Feldbauer G.Felici C.Q.Feng J.H.Feng M.Fritsch C.D.Fu Y.Gao Y.Gao Y.Gao Y.G.Gao I.Garzia P.T.Ge C.Geng E.M.Gersabeck A Gilman K.Goetzen L.Gong W.X.Gong W.Gradl M.Greco L.M.Gu M.H.Gu S.Gu Y.T.Gu C.Y Guan A.Q.Guo L.B.Guo R.P.Guo Y.P.Guo A.Guskov T.T.Han W.Y.Han X.Q.Hao F.A.Harris H Hüsken K.L.He F.H.Heinsius C.H.Heinz T.Held Y.K.Heng C.Herold M.Himmelreich T.Holtmann Y.R.Hou Z.L.Hou H.M.Hu J.F.Hu T.Hu Y.Hu G.S.Huang L.Q.Huang X.T.Huang Y.P.Huang Z.Huang T.Hussain W.Ikegami Andersson W.Imoehl M.Irshad S.Jaeger S.Janchiv Q.Ji Q.P.Ji X.B.Ji X.L.Ji H.B.Jiang X.S.Jiang J.B.Jiao Z.Jiao S.Jin Y.Jin T.Johansson N.Kalantar-Nayestanaki X.S.Kang R.Kappert M.Kavatsyuk B.C.Ke I.K.Keshk A.Khoukaz P.Kiese R.Kiuchi R.Kliemt L.Koch O.B.Kolcu B.Kopf M.Kuemmel M.Kuessner A.Kupsc M.G.Kurth W.Kühn J.J.Lane J.S.Lange P.Larin A.Lavania L.Lavezzi Z.H.Lei H.Leithoff M.Lellmann T.Lenz C.Li C.H.Li Cheng Li D.M.Li F.Li G.Li H.Li H.Li H.B.Li H.J.Li J.L.Li J.Q.Li J.S.Li Ke Li L.K.Li Lei Li P.R.Li S.Y.Li W.D.Li W.G.Li X.H.Li X.L.Li Z.Y.Li H.Liang H.Liang H.Liang Y.F.Liang Y.T.Liang L.Z.Liao J.Libby C.X.Lin B.J.Liu C.X.Liu D.Liu F.H.Liu Fang Liu Feng Liu H.B.Liu H.M.Liu Huanhuan Liu Huihui Liu J.B.Liu J.L.Liu J.Y.Liu K.Liu K.Y.Liu Ke Liu L.Liu M.H.Liu P.L.Liu Q.Liu Q.Liu S.B.Liu Shuai Liu T.Liu W.M.Liu X.Liu Y.Liu Y.B.Liu Z.A.Liu Z.Q.Liu X.C.Lou F.X.Lu H.J.Lu J.D.Lu J.G.Lu X.L.Lu Y.Lu Y.P.Lu C.L.Luo M.X.Luo b P.W.Luo T.Luo X.L.Luo S.Lusso X.R.Lyu F.C.Ma H.L.Ma L.L.Ma M.M.Ma Q.M.Ma R.Q.Ma R.T.Ma X.X.Ma X.Y.Ma F.E.Maas M.Maggiora S.Maldaner S.Malde Q.A.Malik A.Mangoni Y.J.Mao Z.P.Mao S.Marcello Z.X.Meng J.G.Messchendorp G.Mezzadri T.J.Min R.E.Mitchell X.H.Mo Y.J.Mo N.Yu.Muchnoi H.Muramatsu S.Nakhoul Y.Nefedov F.Nerling I.B.Nikolaev Z.Ning S.Nisar S.L.Olsen Q.Ouyang S.Pacetti X.Pan Y.Pan A.Pathak P.Patteri M.Pelizaeus H.P.Peng K.Peters J.Pettersson J.L.Ping R.G.Ping R.Poling V.Prasad H.Qi H.R.Qi K.H.Qi M.Qi T.Y.Qi T.Y.Qi S.Qian W.-B.Qian Z.Qian C.F.Qiao L.Q.Qin X.S.Qin Z.H.Qin J.F.Qiu S.Q.Qu K.H.Rashid K.Ravindran C.F.Redmer A.Rivetti V.Rodin M.Rolo G.Rong Ch.Rosner M.Rump H.S.Sang A.Sarantsev Y.Schelhaas C.Schnier K.Schoenning M.Scodeggio D.C.Shan W.Shan X.Y.Shan J.F.Shangguan M.Shao C.P.Shen P.X.Shen X.Y.Shen H.C.Shi R.S.Shi X.Shi X.D Shi W.M.Song Y.X.Song S.Sosio S.Spataro K.X.Su P.P.Su F.F.Sui G.X.Sun H.K.Sun J.F.Sun L.Sun S.S.Sun T.Sun W.Y.Sun X Sun Y.J.Sun Y.K.Sun Y.Z.Sun Z.T.Sun Y.H.Tan Y.X.Tan C.J.Tang G.Y.Tang J.Tang J.X.Teng V.Thoren I.Uman B.Wang C.W.Wang D.Y.Wang H.J.Wang H.P.Wang K.Wang L.L.Wang M.Wang M.Z.Wang Meng Wang W.Wang W.H.Wang W.P.Wang X.Wang X.F.Wang X.L.Wang Y.Wang Y.D.Wang Y.F.Wang Y.Q.Wang Y.Y.Wang Z.Wang Z.Y.Wang Ziyi Wang Zongyuan Wang D.H.Wei P.Weidenkaff F.Weidner S.P.Wen D.J.White U.Wiedner G.Wilkinson M.Wolke L.Wollenberg J.F.Wu L.H.Wu L.J.Wu X.Wu Z.Wu L.Xia H.Xiao S.Y.Xiao Z.J.Xiao X.H.Xie Y.G.Xie Y.H.Xie T.Y.Xing G.F.Xu Q.J.Xu W.Xu X.P.Xu F.Yan L.Yan W.B.Yan W.C.Yan Xu Yan H.J.Yang H.X.Yang L.Yang S.L.Yang Y.X.Yang Yifan Yang Zhi Yang M.Ye M.H.Ye J.H.Yin Z.Y.You B.X.Yu C.X.Yu G.Yu J.S.Yu T.Yu C.Z.Yuan L.Yuan X.Q.Yuan Y.Yuan Z.Y.Yuan C.X.Yue A.Yuncu A.A.Zafar Y.Zeng B.X.Zhang Guangyi Zhang H.Zhang H.H.Zhang H.Y.Zhang J.J.Zhang J.L.Zhang J.Q.Zhang J.W.Zhang J.Y.Zhang J.Z.Zhang Jianyu Zhang Jiawei Zhang L.Q.Zhang Lei Zhang S.Zhang S.F.Zhang Shulei Zhang X.D.Zhang X.Y.Zhang Y.Zhang Y.H.Zhang Y.T.Zhang Yan Zhang Yao Zhang Yi Zhang Z.H.Zhang Z.Y.Zhang G.Zhao J.Zhao J.Y.Zhao J.Z.Zhao Lei Zhao Ling Zhao M.G.Zhao Q.Zhao S.J.Zhao Y.B.Zhao Y.X.Zhao Z.G.Zhao A.Zhemchugov B.Zheng J.P.Zheng Y.Zheng Y.H.Zheng B.Zhong C.Zhong L.P.Zhou Q.Zhou X.Zhou X.K.Zhou X.R.Zhou A.N.Zhu J.Zhu K.Zhu K.J.Zhu S.H.Zhu T.J.Zhu W.J.Zhu W.J.Zhu Y.C.Zhu Z.A.Zhu B.S.Zou J.H.Zou | 2021 | Chinese Physics C2021，45，2： | 33 |
| 3 | 适应体育运动干预对孤独症谱系障碍儿童视觉工作记忆的影响显示文摘孤独症谱系障碍(ASD)儿童的一个关键缺陷在于工作记忆。因此,本研究的目的在于讨论ASD儿童经过适应体育(APE)运动干预后,工作记忆能力是否能得到改善。采用视觉工作记忆的电脑程序进行测试,采用实验前后的被试间设计,测试适应体育运动干预对ASD儿童视觉工作记忆能力的影响。研究结果显示:1)APE干预可以显著改善ASD个体视觉工作记忆任务表现和视觉工作记忆能力。研究结果证实APE运动干预的有效性。适应体育运功干预可作为对于低工作记忆能力的、存在发展障碍的ASD个体的补救干预措施。2)复杂球类技能运动干预可以改善ASD个体视觉工作记忆能力。3)未来的研究应根据不同群体的认知特征,针对适应体育的学科特征,发展更多有效的运动干预内容和干预方法,手段。 | 朱瑜 许翀 万芹 郭立亚 Sean X.Cai | 2017 | 中国体育科技2017，53，3： | 13 |
| 4 | Symbol error probabilities for general cooperative links显示文摘 | A.RIBEIRO X.CAI G.GIANNAKIS | | 0，，05： | 1 |
| 5 | Regenerative cooperative diversity with path selection and equal power consumption in wireless networks显示文摘 | J.LIU K.LU X.CAI M.N.MURTHI | | 0，，08： | 1 |
| 6 | Protective effects of baicalin on ligature‐induced periodontitis in rats显示文摘 | X.Cai C.Li G.Du Z.Cao | 2007 | Journal of Periodontal Research2007，，1： | 1 |
| 7 | Measurements of the center-of-mass energies of e^(+)e^(-)collisions at BESIII显示文摘During the 2016-17 and 2018-19 running periods,the BESIII experiment collected 7.5 fb of e^(+)e^(-)collision data at center-of-mass energies ranging from 4.13 to 4.44 GeV.These data samples are primarily used for the study of excited charmonium and charmoniumlike states.By analyzing the di-muon process e^(+)e^(-)→(γISR=FSR)μ^(+)μ^(-),we measure the center-of-mass energies of the data samples with a precision of 0.6 MeV.Through a run-by-run study,we find that the center-of-mass energies were stable throughout most of the data-collection period. | M.Ablikim M.N.Achasov P.Adlarson S.Ahmed M.Albrecht R.Aliberti A.Amoroso M.R.An Q.An X.H.Bai Y.Bai O.Bakina R.Baldini Ferroli I.Balossino Y.Ban K.Begzsuren N.Berger M.Bertani D.Bettoni F.Bianchi J.Bloms A.Bortone I.Boyko R.A.Briere H.Cai X.Cai A.Calcaterra G.F.Cao N.Cao S.A.Cetin J.F.Chang W.L.Chang G.Chelkov D.Y.Chen G.Chen H.S.Chen M.L.Chen S.J.Chen X.R.Chen Y.B.Chen Z.J.Chen W.S.Cheng G.Cibinetto F.Cossio X.F.Cui H.L.Dai X.C.Dai A.Dbeyssi R.E.de Boer D.Dedovich Z.Y.Deng A.Denig I.Denysenko M.Destefanis F.De Mori Y.Ding C.Dong J.Dong L.Y.Dong M.Y.Dong X.Dong S.X.Du Y.L.Fan J.Fang S.S.Fang Y.Fang R.Farinelli L.Fava F.Feldbauer G.Felici C.Q.Feng J.H.Feng M.Fritsch C.D.Fu Y.Gao Y.Gao Y.Gao Y.G.Gao I.Garzia P.T.Ge C.Geng E.M.Gersabeck A Gilman K.Goetzen L.Gong W.X.Gong W.Gradl M.Greco L.M.Gu M.H.Gu Y.T.Gu C.Y Guan A.Q.Guo L.B.Guo R.P.Guo Y.P.Guo A.Guskov T.T.Han W.Y.Han X.Q.Hao F.A.Harris K.L.He F.H.Heinsius C.H.Heinz T.Held Y.K.Heng C.Herold M.Himmelreich T.Holtmann G.Y.Hou Y.R.Hou Z.L.Hou H.M.Hu J.F.Hu T.Hu Y.Hu G.S.Huang L.Q.Huang X.T.Huang Y.P.Huang Z.Huang T.Hussain N Husken W.Ikegami Andersson W.Imoehl M.Irshad S.Jaeger S.Janchiv Q.Ji Q.P.Ji X.B.Ji X.L.Ji Y.Y.Ji H.B.Jiang X.S.Jiang J.B.Jiao Z.Jiao S.Jin Y.Jin M.Q.Jing T.Johansson N.Kalantar-Nayestanaki X.S.Kang R.Kappert M.Kavatsyuk B.C.Ke I.K.Keshk A.Khoukaz P.Kiese R.Kiuchi R.Kliemt L.Koch O.B.Kolcu B.Kopf M.Kuemmel M.Kuessner A.Kupsc M.G.Kurth W.Kuhn J.J.Lane J.S.Lange P.Larin A.Lavania L.Lavezzi Z.H.Lei H.Leithoff M.Lellmann T.Lenz C.Li C.H.Li Cheng Li D.M.Li F.Li G.Li H.Li H.Li H.B.Li H.J.Li J.L.Li J.Q.Li J.S.Li Ke Li L.K.Li Lei Li P.R.Li S.Y.Li W.D.Li W.G.Li X.H.Li X.L.Li Xiaoyu Li Z.Y.Li H.Liang H.Liang H.Liang Y.F.Liang Y.T.Liang G.R.Liao 廖龙洲 J.Libby C.X.Lin B.J.Liu C.X.Liu D.Liu F.H.Liu Fang Liu Feng Liu H.B.Liu H.M.Liu Huanhuan Liu Huihui Liu J.B.Liu J.L.Liu J.Y.Liu K.Liu K.Y.Liu L.Liu M.H.Liu P.L.Liu Q.Liu Q.Liu S.B.Liu Shuai Liu T.Liu W.M.Liu X.Liu Y.Liu Y.B.Liu Z.A.Liu Z.Q.Liu X.C.Lou F.X.Lu H.J.Lu J.D.Lu J.G.Lu X.L.Lu Y.Lu Y.P.Lu C.L.Luo M.X.Luo P.W.Luo T.Luo X.L.Luo X.R.Lyu F.C.Ma H.L.Ma L.L.Ma M.M.Ma Q.M.Ma R.Q.Ma R.T.Ma X.X.Ma X.Y.Ma F.E.Maas M.Maggiora S.Maldaner S.Malde Q.A.Malik A.Mangoni Y.J.Mao Z.P.Mao S.Marcello Z.X.Meng J.G.Messchendorp G.Mezzadri T.J.Min R.E.Mitchell X.H.Mo N.Yu.Muchnoi H.Muramatsu S.Nakhoul Y.Nefedov F.Nerling I.B.Nikolaev Z.Ning S.Nisar S.L.Olsen Q.Ouyang S.Pacetti X.Pan Y.Pan A.Pathak A.Pathak P.Patteri M.Pelizaeus H.P.Peng K.Peters J.Pettersson J.L.Ping R.G.Ping S.Pogodin R.Poling V.Prasad H.Qi H.R.Qi K.H.Qi M.Qi T.Y.Qi S.Qian W.B.Qian Z.Qian C.F.Qiao L.Q.Qin X.P.Qin X.S.Qin Z.H.Qin J.F.Qiu S.Q.Qu K.H.Rashid K.Ravindran C.F.Redmer A.Rivetti V.Rodin M.Rolo G.Rong Ch.Rosner M.Rump H.S.Sang A.Sarantsev Y.Schelhaas C.Schnier K.Schoenning M.Scodeggio D.C.Shan W.Shan X.Y.Shan J.F.Shangguan M.Shao C.P.Shen H.F.Shen P.X.Shen X.Y.Shen H.C.Shi R.S.Shi X.Shi X.D Shi J.J.Song W.M.Song Y.X.Song S.Sosio S.Spataro K.X.Su P.P.Su F.F.Sui G.X.Sun H.K.Sun J.F.Sun L.Sun S.S.Sun T.Sun W.Y.Sun W.Y.Sun X Sun Y.J.Sun Y.K.Sun Y.Z.Sun Z.T.Sun Y.H.Tan Y.X.Tan C.J.Tang G.Y.Tang J.Tang J.X.Teng V.Thoren W.H.Tian Y.T.Tian I.Uman B.Wang C.W.Wang D.Y.Wang H.J.Wang H.P.Wang K.Wang L.L.Wang M.Wang M.Z.Wang Meng Wang W.Wang W.H.Wang W.P.Wang X.Wang X.F.Wang X.L.Wang Y.Wang Y.Wang Y.D.Wang Y.F.Wang Y.Q.Wang Y.Y.Wang Z.Wang 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K.J.Zhu S.H.Zhu T.J.Zhu W.J.Zhu W.J.Zhu Y.C.Zhu Z.A.Zhu B.S.Zou J.H.Zou | 2021 | Chinese Physics C2021，45，10： | 0 |
| 8 | Low-field, high-gradient NMR shows diffusion contrast consistent with localization or motional averaging of water near surfaces显示文摘Nuclear magnetic resonance(NMR)measurements of water diffusion have been extensively used to probe microstructure in porous materials,such as biological tissue,however primarily using pulsed gradient spin echo(PGSE)methods.Low-field single-sided NMR systems have built-in static gradients(SG)much stronger than typical PGSE maximum gradient strengths,which allows for the signal attenuation at extremely high b-values to be explored.Here,we perform SG spin echo(SGSE)and SG stimulated echo(SGSTE)diffusion measurements on biological cells,tissues,and gels.Measurements on fixed and live neonatal mouse spinal cord,lobster ventral nerve cord,and starved yeast cells all show multiexponential signal attenuation on a scale of b with significant signal fractions observed at b×Do>1 with b as high as 400 ms/um2.These persistent signal fractions trend with surface-to-volume ratios for these systems,as expected from porous media theory.An exception found for the case of fixed vs.live spinal cords was attributed to faster exchange or permeability in live spinal cords than in fixed spinal cords on the millisecond timescale.Data suggests the existence of multiple exchange processes in neural tissue,which may be relevant to the modeling of time-dependent diffusion in gray matter.The observed multi-exponential attenuation is from protons on water and not macromolecules because it remains proportional to the normalized signal when a specimen is washed with D20.The signal that persists to b×Do>1 is also drastically reduced after delipidation,indicating that it originates from lipid membranes that restrict water diffusion.The multiexponential or stretched exponential character of the signal attenuation at b×Do>1 appears mono-exponential when viewed on a scale of(b×Do)/3,suggesting it may originate from localization or motional averaging of water near membranes on sub-micron length scales.To try to disambiguate these two contributions,signal attenuation curves were compared at varying temperatures.While the curves align when normalizing them using the localization length scale,they separate on a motional averaging length scale.This supports localization as the source of non-Gaussian displacements,but this interpretation is still provisional due to the possible confounds of heterogeneity,exchange,and relaxation.Measurements on two types of gel phantoms designed to mimic extracellular matrix.one with charged functional groups synthesized from polyacrylic acid(PAC)and another with uncharged functional groups synthesized from polyacrylamide(PAM),both exhibit signal at b×Do>1,potentially due to water interacting with macromolecules.These preliminary finding motivate future research into contrast and attenuation mechanisms in tissue with low-field,high-gradient NMR。 | Nathan H.Williamson Velencia J.Witherspoon Teddy X.Cai Rea Ravin Ferenc Horkay Peter J.Basser | 2023 | Magnetic Resonance Letters2023，3，2： | 0 |
| 9 | Continuous Opinion Dynamics in Complex Networks显示文摘Many realistic social networks share some universal characteristic properties,such as the small-world effects and the heterogeneous distribution of connectivity degree,which affect the dynamics in society system,especially the opinion dynamics in society.To see this,we study the opinion dynamics of the Improved Deffuant Model(IDM)in complex networks.When the two opinions differ by less than the confidence parameterǫ(0<ǫ<1),each opinion moves partly in the direction of the other with the convergence parameterµ,which is a function of the opposite’s degree k;otherwise,the two refuse to discuss and no opinion is changed.We analyze the evolution of the steady opinion s∗as a function of the confidence parameterǫ,the relation between the minority steady opinion smin∗and the individual connectivity k,and find some interesting results that show the dependence of the opinion dynamics on the confidence parameter and on the system topology.This study provides a new perspective and tools to understand the effects of complex system topology on opinion dynamics. | L.Guo X.Cai | 2009 | Communications in Computational Physics2009，5，5： | 0 |
| 10 | Effects of Complex System Topology on the Bak-Sneppen Evolution Model显示文摘In this paper, we investigate by numerical simulations the Bak-Sneppenmodel (BSM) for biological evolution on scale-free networks (SFNs) with various degree exponents γ. We find that the punctuated equilibrium is rather robust with respect to the network topology. Furthermore, we analyze the evolution of the criticalaverage fitness h fi ∗ and the exponent τ of h fi 0 avalanche as a function of α (i.e., the degree exponent γ). Our observations indicate the dependence of evolutionary dynamicsof BSM on the complex biosystem topology. | L.Guo X.Cai | 2010 | Communications in Computational Physics2010，7，3： | 0 |
| 11 | Opinion Dynamics of Sznajd Model on Small-World Network显示文摘The society structure plays an important role in shaping the attitudes,beliefs and public opinion.For studying the role of the society structure in opinion dynamics,we analyze the Sznajd model on small-world network formed by adding shortcuts in a lattice consisting of N nodes arranged in a ring and on two-dimensional(2-D)regular lattice.Through computer simulation,we find that there exists a pseudo-phase transition from the coexistence state forφ<φ_(c) to the consensus state forφ>φ_(c),whereφ_(c) is some threshold for the shortcut densityφ,which is dependent of the complex network topology and the dimensionality of complex networks.Our observations indicate the dependence of the opinion dynamics on the complex system topology. | L.Guo X.Cai | 2009 | Communications in Computational Physics2009，6，8： | 0 |
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