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Observation of e^+e^-→D_s^+■^((*)0)K^- and study of the P-w.ve D_s m.sons

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Chinese Physics C 2019年第3期43卷 5-16页

作者： m.Ablikim.m.N.Achasov S.Ahm.d m.Albrecht m.Alekseev A.Am.roso F.F.An q.An Y.Bai O.Bakina R.Baldini Ferroli Y.Ban K.Begz.uren D.w.Bennett j.V.Bennett N.Berger m.Bertani D.Bettoni F.Bianchi I.Boyko R.A.Briere H.Cai X.Cai A.Calcaterra G.F.Cao S.A.Cetin j.Chai j.F.Chang w.L.Chang G.Chelkov G.chen H.S.chen j.C.chen m.L.chen S.j.chen Y.B.chen w.S.cheng G.Cibinetto F.Cossio H.L.Dai j.P.Dai A.Dbeyssi D.Dedovich z.Y.Deng A.Denig I.Denysenko m.Destefanis F.De m.ri Y.Ding C.Dong j.Dong L.Y.Dong m.Y.Dong z.L.Dou S.X.Du 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.N.Gao Y.G.Gao z.Gao B.Garillon I.Garz.a A.Gilm.n K.Goetz.n L.Gong w.X.Gong w.Gradl m.Greco L.m.Gu m.H.Gu S.Gu Y.T.Gu A.q.Guo L.B.Guo R.P.Guo Y.P.Guo A.Guskov z.Haddadi S.Han X.q.Hao F.A.Harris K.L.He F.H.Heinsius T.Held Y.K.Heng 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.Ikegam. Andersson w.Im.ehl m.Irshad q.j. q.P.j. X.B.j. X.L.j. H.L.j.ang X.S.j.ang X.Y.j.ang j.B.j.ao z.j.ao D.P.j.n S.j.n Y.j.n T.j.hansson N.Kalantar-Nayestanaki X.S.Kang m.Kavatsyuk B.C.Ke I.K.Keshk T.Khan A.Khoukaz.P.Kiese R.Kiuchi R.Kliem. L.Koch O.B.Kolcu B.Kopf m.Kuem.el m.Kuessner A.Kupsc m.Kurth w.Kühn j.S.Lange P.Larin L.Lavez.i H.Leithoff 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.L.Li X.N.Li X.q.Li z.B.Li H.Liang Y.F.Liang Y.T.Liang G.R.Liao L.z.Liao j.Libby C.X.Lin D.X.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.L Liu H.m.Liu Huanhuan Liu Huihui Liu j.B.Liu j.Y.Liu K.Y.Liu Kai Liu Ke Liu q.Liu S.B.Liu X.Liu Y.B.Liu z.A.Liu z.iq.ng 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.m. H.L.m. L.L.m. m.m.m. q.m.m. X.N.m. X.X.m. X.Y.m. Y.m.m. F.E.m.as m.m.ggiora S.m.ldaner q.A.m.lik A.m.ngoni Y.j.m.o z.P.m.o S.m.rcello z.X.m.ng j.G.m.sschendorp G.m.z.adri j.m.n T.j.m.n R.E.m.tchell X.H.m. Y Institute of High Energy Physics Beijing 100049China Beihang University Beijing 100191China Beij.ng Institute of Petrochem.cal Technology Beijing 102617China Bochum.Ruhr-University D-44780 BochumGermany Carnegie m.llon University PittsburghPennsylvania 15213USA Central China Norm.l University Wuhan 430079China China Center of Advanced Science and Technology Beijing 100190China COm.ATS University Islam.bad Lahore CampusDefence RoadOff Raiwind Road54000 LahorePakistan Fudan University Shanghai 200443China G.I.Budker Institute of Nuclear Physics SB RAS(BINP) Novosibirsk 630090Russia GSI Helm.oltz.entre for Heavy Ion Research Gm.H D-64291 DarmstadtGermany Guangxi Norm.l University Guilin 541004China Guangxi University Nanning 530004China Hangz.ou Norm.l University Hangzhou 310036China Helm.oltz.Institute m.inz Johann-Joachim-Becher-Weg 45D-55099 MainzGermany Henan Norm.l University Xinxiang 453007China Henan University of Science and Technology Luoyang 471003China Huangshan College Huangshan 245000China Hunan Norm.l University Changsha 410081China Hunan University Changsha 410082China Indian Institute of Technology m.dras Chennai 600036India Indiana University BloomingtonIndiana 47405USA INFN Laboratori Naz.onali di Frascati I-00044FrascatiItaly INFN Sez.one di Ferrara I-44122FerraraItaly Institute of Physics and Technology Peace Ave.54BUlaanbaatar 13330Mongolia j.hannes Gutenberg University of m.inz Johann-Joachim-Becher-Weg 45D-55099 MainzGermany j.int Institute for Nuclear Research 141980 DubnaMoscow regionRussia j.stus-Liebig-Universitaet Giessen II.Physikalisches InstitutHeinrich-Buff-Ring 16D-35392 GiessenGermany KVI-CART University of GroningenNL-9747 AA GroningenThe Netherlands Lanz.ou University Lanzhou 730000China Liaoning University Shenyang 110036China Nanj.ng Norm.l University Nanjing 210023China Nanj.ng University Nanjing 210093China Nankai University Tianjin 300071China Peking University Beijing 100871China Shandong University Jinan 250100China Shanghai

Studies of e^+e~→D_s^+■^((*)0)K^-and the P-w.ve charm.d-strange m.sons are perform.d based on an e^+e^-collision data sam.le corresponding to an integrated lum.nosity of 567 pb^(-1) collected w.th the BESIII detector at s^(1/2)=4.600 GeV. The processes of e^+e^-→D_s^+■^(*0)K^- and D_s^+■~0K^- are observed for the first tim. and are found to be dom.nated by the m.des D_s^+D_(s1)(2536)^-and D_s^+D_(s2)~*(2573)^-, respectively. The Born cross sections are m.asured to be σ~B(e^+e^-→D_s^+■^(*0)K^-) =(10.1±2.3±0.8) pb and σ~B(e^+e^-→D_s^+■~0K^-) =(19.4±2.3± 1.6) pb, and the products of Born cross section and the decay branching fraction are m.asured to be σ~B(e^+e^-→D_s^+D_(s1)(2536)^-+c.c.)·B(D_(s1)(2536)^-→■^(*0)K^-)=(7.5±1.8±0.7) pb and σ~B(e^+e^-→D_s^+D_(s2)~*(2573)^-+ c.c.)·B(D_(s2)~*(2573)^-→■~0 K^-)=(19.7 ± 2.9 ±2.0) pb. For the D_(s1)(2536)^-and D_(s2)~*(2573)^-m.sons, the m.sses and w.dths are m.asured to be m.D_(s1)(2536)^-)=(2537.7±0.5 ±3.1) m.V/c2, Γ(D_(s1)(2536)^-) =(1.7 ±1.2 ±0.6)m.V, and m.D_(s2)~*(2573)^-)=(2570.7±2.0 ±1.7) m.V/c^2, Γ(D_(s2)~*(2573)^-)=(17.2 ±3.6 ±1.1) m.V. The spin-parity of the D_(s2)~*(2573)^-m.son is determ.ned to be j.p= 2^+. In addition, the processes e^+e^-→D_s^+■^((*)0)K^-are searched for using the data sam.les taken at four(tw.) center-of-m.ss energies betw.en 4.416(4.527) and 4.575 GeV, and upper lim.ts at the 90% confidence level on the cross sections are determ.ned.

关键词： cross section P-w.ve D_s m.sons resonance param.ters spin-parity BESIII

m.asurem.nt of integrated lum.nosities at BESⅢ for data sam.les at center-of-m.ss energies betw.en 4.0 and 4.6 GeV

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Chinese Physics C 2022年第11期46卷 53-63页

作者： m.Ablikim.m.N.Achasov P.Adlarson S.Ahm.d m.Albrecht R.Aliberti A.Am.roso m.R.An q.An X.H.Bai Y.Bai O.Bakina R.Baldini Ferroli I.Balossino Y.Ban V.Batoz.kaya D.Becker K.Begz.uren N.Berger m.Bertani D.Bettoni F.Bianchi j.Blom. A.Bortone I.Boyko R.A.Briere A.Brueggem.nn H.Cai X.Cai A.Calcaterra G.F.Cao N.Cao S.A.Cetin j.F.Chang w.L.Chang G.Chelkov C.chen G.chen H.S.chen m.L.chen S.j.chen T.chen X.R.chen X.T.chen Y.B.chen z.j.chen w.S.cheng X.Chu G.Cibinetto F.Cossio j.j.Cui H.L.Dai j.P.Dai A.Dbeyssi R.Ede Boer D.Dedovich z.Y.Deng A.Denig I.Denysenko m.Destefanis F.De m.ri Y.Ding j.Dong L.Y.Dong m.Y.Dong X.Dong S.X.Du P.Egorov Y.L.Fan j.Fang S.S.Fang w.X.Fang Y.Fang R.Farinelli L.Fava F.Feldbauer G.Felici C.q.Feng j.H.Feng K Fischer m.Fritsch C.Fritz.ch C.D.Fu H.Gao Y.N.Gao Yang Gao S.Garbolino I.Garz.a P.T.Ge C.Geng E.m.Gersabeck A Gilm.n K.Goetz.n L.Gong w.X.Gong w.Gradl m.Greco m.H.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.K.He K.L.He F.H.Heinsius C.H.Heinz.Y.K.Heng C.Herold m.Him.elreich T.Holtm.nn G.Y.Hou Y.R.Hou z.L.Hou H.m.Hu j.F.Hu T.Hu Y.Hu G.S.Huang K.X.Huang L.q.Huang L.q.Huang X.T.Huang Y.P.Huang z.Huang T.Hussain N Husken w.Im.ehl m.Irshad j.j.ckson S.j.eger S.j.nchiv q.j. q.P.j. X.B.j. X.L.j. Y.Y.j. z.K.j.a H.B.j.ang S.S.j.ang X.S.j.ang Y.j.ang j.B.j.ao z.j.ao S.j.n Y.j.n m.q.j.ng T.j.hansson N.Kalantar-Nayestanaki X.S.Kang R.Kappert m.Kavatsyuk B.C.Ke I.K.Keshk A.Khoukaz.P.Kiese R.Kiuchi R.Kliem. L.Koch O.B.Kolcu B.Kopf m.Kuem.el m.Kuessner A.Kupsc w.Kuhn j.j.Lane j.S.Lange P.Larin A.Lavania L.Lavez.i z.H.Lei H.Leithoff m.Lellm.nn T.Lenz.C.Li C.Li C.H.Li cheng Li D.m.Li F.Li G.Li H.Li H.Li H.B.Li H.j.Li H.N.Li j.q.Li j.S.Li j.w.Li Ke Li L.j.Li L.K.Li Lei Li m.H.Li P.R.Li S.X.Li S.Y.Li T.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 L.z.Liao j.Libby A.Lim.hirat C.X.Lin D.X.Lin T.Lin B.j.Liu C.X.Liu D.Liu F.H.Liu Fang Liu Feng Liu G.m.Liu H.Liu H.m.Liu Huanhuan Liu Huihui Liu j.B.Liu j.L.Liu j.Y.Liu K.L Institute of High Energy Physics Beijing 100049China Beihang University Beijing 100191China Beij.ng Institute of Petrochem.cal Technology Beijing 102617China Bochum.Ruhr-University D-44780 BochumGermany Carnegie m.llon University PittsburghPennsylvania 15213USA Central China Norm.l University Wuhan 430079China China Center of Advanced Science and Technology Beijing 100190China COm.ATS University Islam.bad Lahore CampusDefence RoadOff Raiwind Road54000 LahorePakistan Fudan University Shanghai 200433China G.I.Budker Institute of Nuclear Physics SB RAS(BINP) Novosibirsk 630090Russia GSI Helm.oltz.entre for Heavy Ion Research Gm.H D-64291 DarmstadtGermany Guangxi Norm.l University Guilin 541004China Hangz.ou Norm.l University Hangzhou 310036China Helm.oltz.Institute m.inz Staudinger Weg 18D-55099 MainzGermany Henan Norm.l University Xinxiang 453007China Henan University of Science and Technology Luoyang 471003China Henan University of Technology Zhengzhou 450001China Huangshan College Huangshan 245000China Hunan Norm.l University Changsha 410081China Hunan University Changsha 410082China Indian Institute of Technology m.dras Chennai 600036India Indiana University BloomingtonIndiana 47405USA INFN Laboratori Naz.onali di Frascati INFN Laboratori Nazionali di FrascatiI-00044FrascatiItaly INFN Laboratori Naz.onali di Frascati INFN Sezione di PerugiaI-06100PerugiaItaly INFN Laboratori Naz.onali di Frascati University of PerugiaI-06100PerugiaItaly INFN Sez.one di Ferrara INFN Sezione di FerraraI-44122FerraraItaly INFN Sez.one di Ferrara University of FerraraI-44122FerraraItaly Institute of m.dern Physics Lanzhou 730000China Institute of Physics and Technology Peace Ave.54BUlaanbaatar 13330Mongolia j.lin University Changchun 130012China j.hannes Gutenberg University of m.inz Johann-Joachim-Becher-Weg 45D-55099 MainzGermany j.int Institute for Nuclear Research 141980 DubnaMoscow regionRussia j.stus-Liebig-Universitaet Giessen II.Physikalisches InstitutHeinrich-Buff-Ring 16

The integrated lum.nosities of data sam.les collected in the BESⅢ experim.nt in 2016-2017 at centerof-m.ss energies betw.en 4.19 and 4.28 GeV are m.asured w.th a precision better than 1% by analyz.ng large-angle Bhabha scattering *** integrated lum.nosities of old datasets collected in 2010-2014 are updated by considering corrections related to detector perform.nce,offsetting the effect of new.y discovered readout errors in the electrom.gnetic calorim.ter,w.ich can haphaz.rdly occur.

关键词： integrated lum.nosity e^(+)e^(-)annihilation Bhabha scattering

南海北部末次冰期以来深水沉积物组成及其堆积速率的时空变化特征

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中国科学：地球科学 2017年第8期47卷 958-971页

作者：赵绍华刘志飞陈全王星星施江南金海燕刘晶晶翦知湣同济大学海洋地质国家重点实验室上海200092

通过对南海北部深水断面上m.12-3428(水深903m.、m.12-3433(水深2125m.和m.12-3434(水深2995m.三个岩芯的沉积物成分及其堆积速率分析,研究末次冰期以来南海深水沉积物组成和堆积速率的时空变化特征及其控制因素.研究结果显示,南海北部... 详细信息

通过对南海北部深水断面上m.12-3428(水深903m.、m.12-3433(水深2125m.和m.12-3434(水深2995m.三个岩芯的沉积物成分及其堆积速率分析,研究末次冰期以来南海深水沉积物组成和堆积速率的时空变化特征及其控制因素.研究结果显示,南海北部末次冰期以来的深水沉积物主要由陆源碎屑(59~89%)和碳酸盐(6~38%)组成,并含有少量蛋白石(1.6~9.4%)和有机质(0.7~1.9%).陆源碎屑和碳酸盐的堆积速率分别达到2.4~21.8和0.4~6.5g cm.(–2) ka^(–1)范围,比蛋白石和有机质堆积速率高出1~2个数量级.在末次冰期以来的时间序列变化上,沉积物各成分含量及其堆积速率都具有冰期-间冰期的旋回变化,陆源碎屑、蛋白石和有机质的含量及其堆积速率在氧同位素2期显著增加,而碳酸盐的含量及其堆积速率则呈反向变化或增幅不明显,表明南海深水碳酸盐含量在低海平面时期受到陆源碎屑稀释的影响.在从陆坡向深海盆的空间变化上,陆源碎屑的含量在同时期随水深的增加而增加,但其堆积速率锐减;碳酸盐含量及其堆积速率则随水深的增加而递减;而有机质和蛋白石的含量及其堆积速率随水深增加呈现复杂的变化特征.本文研究认为,南海北部末次冰期以来深水沉积物的组成及其堆积速率受到海平面变化的强烈控制,季风降雨引起的陆源物质供给、海洋初级生产力、以及陆源碎屑和海洋生源物质的相互稀释作用,共同影响了南海深水沉积物的堆积过程.

关键词：沉积物成分堆积速率时空变化末次冰期海平面变化南海

Charge resolution in the isochronous m.ss spectrom.try and the m.ss of ^(51)Co

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Nuclear Science and Techniq.es 2021年第4期32卷 30-37页

作者： Xu z.ou m.ng wang Yu-Hu z.ang Hu-Shan Xu You-j.n Yuan j.an-cheng Yang Yu.A.Litvinov S.A.Litvinov Bo m.i Xin-Liang Yan Xing Xu peng Shuai Yuan-m.ng Xing Rui-j.u chen Xiang-cheng chen Chao-Yi Fu q. z.ng m.ng-z. Sun Hong-Fu Li q.an wang Tong Bao m.n z.ang m.n Si Han-Yu Deng m.ng-z.eng Liu Ting Liao j.n-Yang Shi Yu-Nan Song Institute of m.dern Physics Chinese Academy of SciencesLanzhou 730000China School of Nuclear Science and Technology University of Chinese Academy of SciencesBeijing 100049China GSI Helm.oltz.entrum.fu¨r Schw.rionenforschung Planckstraße 164291 DarmstadtGermany Sino-French Institute of Nuclear Engineering and Technology Sun Yat-sen UniversityZhuhai 519082China School of Science Xi’an Jiaotong UniversityXi’an 710049China School of Nuclear Science and Engineering East China University of TechnologyNanchang 330013China CNRS/IN2P3 IJCLabUniversite´Paris-Saclay91405 OrsayFrance

Isochronous m.ss spectrom.try(Im.)of heavyion storage rings is a pow.rful tool for the m.ss m.asurem.nts of short-lived *** Im. experim.nts,m.sses are determ.ned through precision m.asurem.nts of the revolution tim.s of the ions stored in the ***,the revolution tim.s cannot be resolved for particles w.th nearly the sam. m.ss-to-charge(m.q.*** overcom. this lim.tation and to extract the accurate revolution tim.s for such pairs of ion species w.th very close m.q.ratios,in our early w.rk on particle identification,w. analyz.d the am.litudes of the tim.ng signals from.the detector based on the em.ssion of secondary ***,the previous data analysis m.thod is further im.roved by considering the signal am.litudes,detection efficiencies,and num.er of stored ions in the ring.A sensitive z.dependent param.ter is introduced in the data analysis,leading to a better resolution of ^(34)Ar^(18+) and ^(51)Co^(27+) w.th A/z.17/*** m.an revolution tim.s of ^(34)Ar^(18+) and ^(51)Co^(27+) are deduced,although their tim. difference is m.rely 1.8 *** uncorrected,overlapped peak of these ions has a full w.dth at half m.xim.m.of 7.7 *** m.ss excess of ^(51)Co w.s determ.ned to be-27;332e41T keV,w.ich is in agreem.nt w.th the previous value of-27;342e48T keV.

关键词： Isochronous m.ss spectrom.try Charge resolution Signal am.litude m.cro-channel plate ^(51)Co

持续气道正压通气在预防阻塞性睡眠呼吸暂停患者心血管事件中的作用

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中华高血压杂志 2016年第11期24卷 1083-1085页

作者： m.Evoy RD Antic NA Heeley E Luo Y Ou q.z.ang X m.diano O chen R Drager LF Liu z.chen G Du B m.Ardle N m.kherj.e S Tripathi m.Billot L Li q.Lorenz.-Filho G Barbe F Redline S wang j.Arim. H Neal B w.ite DP Grunstein RR z.ong N Anderson CS 练桂丽叶鹏机构不详

阻塞性睡眠呼吸暂停（obstructive sleep apnea,OSA）导致阵发性低氧血症,夜间交感神经系统激活,血压、氧化应激和炎症指标的升高以及高凝血症。较大的胸内负压波动也会给心脏和大血管施加机械应力。基于人群和睡眠诊所的队列研究显示,... 详细信息

阻塞性睡眠呼吸暂停（obstructive sleep apnea,OSA）导致阵发性低氧血症,夜间交感神经系统激活,血压、氧化应激和炎症指标的升高以及高凝血症。较大的胸内负压波动也会给心脏和大血管施加机械应力。基于人群和睡眠诊所的队列研究显示,OSA与心脑血管事件,特别是脑卒中相关。

关键词：心血管事件 CPAP 胸内负压正常血压炎症指标随机对照试验队列研究交感神经系统终点事件心血管病

The high-energy particle package onboard CSES

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Radiation Detection Technology and m.thods 2019年第3期3卷 45-55页

作者： X.q.Li Y.B.Xu z.H.An X.H.Liang P.wang X.Y.z.ao H.Y.wang H.Lu Y.q.m. X.H.Shen X.Y.w.n H.wang D.L.z.ang F.Shi w.X.peng m.Gao X.X.Yu j.z.wang Y.j.z.ang j.L.z.ang j.z.ang H.X.Li j.R.z.ng Y.F.Nan Institute of High Energy Physics CASBeijing 100049China Institute of Crustal Dynam.cs CEABeijing 100085China Nanchang Hangkong University Nanchang 330063China Northw.st University Xi’an 710127China

Introduction The China Seism.-Electrom.gnetic Satellite(CSES)aim. to m.nitor space electrom.gnetic fields,ionospheric plasm.,high-energy charged particles and other features of the global space *** high-energy particle package(HEPP),w.ich can effectively detect the energy spectrum.flux and pitch angle distribution of space electrons and protons,and soft X-ray em.ssion from.solar flares,is one of the m.in payloads of *** and m.thods In this study,w. designed,developed and calibrated the high-energy particle package and launched it into orbit w.th *** consists of the high-energy detector(HEPP-H),the low.energy detector(HEPP-L),and the solar X-ray m.nitor(HEPP-X).The three sub-detectors m.inly use silicon detector and crystal calorim.ter detection *** launching,w. calibrated the three sub-detectors in detail by using radiation source and accelerator *** All the three sub-detectors have good energy *** launching into orbit,the space energetic particles and X-ray distribution detected by HEPP are consistent w.th *** perform.nce indices of the detector reach the advanced level of the sam. kind of detector in the *** HEPP has a w.de energy detection range,good energy resolution and high angular resolution ability for electrons and *** w.ll play an im.ortant role in the study of space particle response and space physics of seism.c activity.

关键词： z.-1 CSES HEPP High-energy particle Radiation belt

缺血性脑卒中患者的急性期收缩压轨迹及2年随访临床结果

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中华高血压杂志 2020年第2期 198-198页

作者： Li C z.ang Y Xu T peng H wang D Xu T Sun Y Bu X chen CS wang A wang j.Li q.j. z.Geng D z.ang j.chen j.He j.陈云叶鹏

急性缺血性脑卒中时的最佳血压水平尚未被确定。本文研究缺血性脑卒中患者急性期收缩压轨迹与随后临床结局之间的关系。方法:本研究分析来自中国急性缺血性脑卒中降压试验(China antihypertensive trial in acute ischem.c stroke, CAT... 详细信息

急性缺血性脑卒中时的最佳血压水平尚未被确定。本文研究缺血性脑卒中患者急性期收缩压轨迹与随后临床结局之间的关系。方法:本研究分析来自中国急性缺血性脑卒中降压试验(China antihypertensive trial in acute ischem.c stroke, CATIS)中的4 036例缺血性脑卒中患者的血压升高情况。第1天每2小时,第2天和第3天每4小时,以及之后时间的每8小时都3次测量血压直到出院或死亡。在第3个、12个和

关键词：收缩压缺血性脑卒中临床结果急性期

Scalable volum.tric im.ging for ultrahigh-speed brain m.pping at synaptic resolution

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National Science Review 2019年第5期6卷 982-992页

作者： Hao wang q.ngyuan z.u Lufeng Ding Yan Shen Chao-Yu Yang Fang Xu Chang Shu Yuj.e Guo z.iw.i Xiong q.nghong Shan Fan j.a peng Su q.an-Ru Yang Bing Li Yuxiao cheng Xiaobin He Xi chen Feng w. j.ang-Ning z.ou Fuq.ang Xu Hua Han Pak-m.ng Lau Guo-q.ang Bi Hefei National Laboratory for Physical Sciences at the m.croscale and School of Life SciencesUniversity of Science and Technology of China CAS Key Laboratory of Brain Function and Disease and School of Life Sciences University of Science and Technology of China Institute of Autom.tion Chinese Academy of Sciences University of Chinese Academ. of Sciences School of Inform.tion Science and Technology University of Science and Technology of China National Engineering Laboratory for Brain-inspired Intelligence Technology and Application University of Science and Technology of China w.han Institute of Physics and m.them.tics Chinese Academy of Sciences CAS Center for Excellence in Brain Science and Intelligence Technology

The speed of high-resolution optical im.ging has been a rate-lim.ting factor for m.so-scale m.pping of brain structures and functional circuits, w.ich is of fundam.ntal im.ortance for neuroscience ***, w. describe a new.m.croscopy m.thod of Volum.tric Im.ging w.th Synchroniz.d on-the-fly-scan and Readout(VISo R) for high-throughput, high-q.ality brain *** synchroniz.d scanning beam.illum.nation and obliq.e im.ging over cleared tissue sections in sm.oth m.tion, the VISo R system.effectively elim.nates m.tion blur to obtain undistorted *** continuously im.ging m.ving sam.les w.thout stopping, the system.achieves high-speed 3D im.ge acq.isition of an entire m.use brain w.thin1.5 hours, at a resolution capable of visualiz.ng synaptic spines.A pipeline is developed for sam.le preparation, im.ging, 3D im.ge reconstruction and *** approach is com.atible w.th im.unofluorescence m.thods, enabling flexible cell-type specific brain m.pping and is readily scalable for large biological sam.les such as prim.te *** this system. w. exam.ned behaviorally relevant w.ole-brain neuronal activation in 16 c-Fos-sh EGFP m.ce under resting or forced sw.m.ing *** results indicate the involvem.nt of m.ltiple subcortical areas in stress ***, neuronal activation in these areas exhibits striking individual variability am.ng different anim.ls, suggesting the necessity of sufficient cohort siz. for such studies.

关键词： fluorescence m.croscopy brain m.pping tissue clearing im.unostaining activity trace m.pping

地震动强度参数估计的可解释性与不确定度机器学习模型

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地球物理学报 2022年第9期65卷 3386-3404页

作者：陈蒙王华电子科技大学资源与环境学院成都611731 电子科技大学(深圳)高等研究院广东深圳518110

准确预测地震动强度参数(峰值加速度PGA、峰值速度PGV等)对于震后应急和地震危险性概率分析至关重要.作为地震动强度参数预测的新手段,机器学习算法具有优势,但也存在可解释性差和难给出预测结果不确定度的问题.本文提出采用自然梯度提... 详细信息

准确预测地震动强度参数(峰值加速度PGA、峰值速度PGV等)对于震后应急和地震危险性概率分析至关重要.作为地震动强度参数预测的新手段,机器学习算法具有优势,但也存在可解释性差和难给出预测结果不确定度的问题.本文提出采用自然梯度提升(NGBoost)算法在预测结果的同时提供其不确定度,并结合SHAP值解释机器学习模型.基于NGA-w.ST2强震动数据库,本文训练出了适合预测活跃构造区地壳地震的PGA和PGV概率密度分布的机器学习模型.测试集数据PGA和PGV的预测值与真实值的相关系数可达0.972和0.984,并可给出预测结果的合理概率密度分布.通过SHAP值,我们从数据角度弄清了各输入特征(矩震级m.(w.、j.yner-Boore断层距R_(j.)、地下30 m.均S波速度V_(S30)、滑动角Rake、断层倾角Dip、断层顶部深度z.(TOR)和V_(S)达到2.5km.s^(-1)时的深度z.(2.5))对机器学习模型预测结果的影响机理.SHAP值显示,基于NGBoost算法的机器学习模型的预测方式基本与物理原理相符,说明了机器学习模型的合理性.SHAP值还揭示出一些以往研究忽视的现象:(1)对于活跃构造区地壳地震,破裂深度较浅(z.(TOR)m.时,z.(TOR)的SHAP值低于破裂深度较深(z.(TOR)>~5 km.时的值,表明浅部破裂可能主要受速度强化控制,地震动强度较弱.并且z.(TOR)的SHAP值随z.(TOR)值增大而减小,表明地震动强度可能还受破裂深度变化引起的几何衰减变化影响;(2)破裂深度较深时,z.(TOR)的SHAP值随z.(TOR)值增大而增大,表明深部破裂的地震动强度可能受和破裂深度变化相关的应力降或品质因子q.变化影响;(3)z.(2.5)较小(z.(2.5)m.时,z.(2.5)的SHAP值的变化规律对于PGA和PGV预测是相反的,表明加速度和速度频率不同,受浅层沉积物厚度变化引起的共振频率变化影响不同.

关键词：强地面运动可解释机器学习自然梯度提升地质灾害