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Planning of Anti-Disaster Transformer Substation Based on nn and PSO

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Engineering（科研） 2013年第1期5卷 163-167页

作者： T. Wang Q.J. Tang X.l. Yang X.D. liu High Voltage Division Xi’an Jiaotong University Xi’an China Wenzhou Electric Power Bureau Wenzhou China

Recently, the frequent extreme natural disasters made enormous damage to the electric grid leading to blackouts. The lifeline system aiming at providing continuous power supply for the important load in extreme natural disasters was designed in that condition. In this paper, a developed model for planning of the transformer substation in lifeline system? which considered the effect of existing transformer substations, the motivated areas and punishment areas was proposed. The Hopfield nn was adopted to solve the feeders and the PSO was adopted to new the locations of the transformer substations based on the feeders. The planning result not only took fully use of the existing substation but also get the suitable location for new construction which was satisfactory.

关键词： lifeline system transformer substation Hopfield nn PSO

Parasite Genetics, the Immune Host and DNA Fingerprinting in the Identification of loci Encoding Protective Antigens of Eimeria Maxima

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Parasite Genetics, the Immune Host and DNA Fingerprinting in...

脑水肿程度对劳力性热射病患者多器官功能损害的影响

12th International Congress of Protozoology

作者： Damer P. Blake Adrian l. Smith Martin W. Shirley Institute for Animal Health Compton BerkshireRG20 7NNUK Institute for Animal Health Compton BerkshireRG20 7NNUK Institute for Animal Health Compton BerkshireRG20 7NNUK

＜正＞Many protozoan genomes are the subject of extensive sequencing projects but the identification of genes that encode antigens capable of stimulating a protective immune response remains a demanding task. The rational identification of genuinely immunoprotective gene products encoded by unsequenced genomes is even more daunting. The majority of screens for vaccine candidates protective against protozoan infection have been largely empirical, based upon the induction of an immune response rather than protection. However, consideration of the genetics of immune escape by different strains of Eimeria maxima has raised the possibility of the targeted identification of a gene （or genes） under immune

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中国中西医结合急救杂志 2018年第3期25卷 246-249页

作者：赵翠梅李庆华孙荣青刘树元吕宏迪王海伟王楠楠闫进王晶解放军第一五九医院重症医学科河南驻马店463008 郑州大学第一附属医院重症医学科河南郑州450052 解放军总医院重症医学科北京100853

目的观察不同脑水肿程度与劳力性热射病（EHS）患者多器官功能障碍综合征（MODS）的关系。方法选择2015年6月至2017年6月解放军第-五九医院重症医学科收治的EHS患者，均于发病2、24、72h应用BORN-BE无创脑水肿动态监护仪监测双侧大脑半... 详细信息

目的观察不同脑水肿程度与劳力性热射病（EHS）患者多器官功能障碍综合征（MODS）的关系。方法选择2015年6月至2017年6月解放军第-五九医院重症医学科收治的EHS患者，均于发病2、24、72h应用BORN-BE无创脑水肿动态监护仪监测双侧大脑半球电阻抗扰动系数（EIDC）以反映脑水肿程度，并根据3个时间点的均值将患者分为9＋组、10＋组、11＋组。所有患者于发病2h和72h取空腹静脉血，检测血清白细胞介素-1β（Il-1β）、肿瘤坏死因子-α（TNF-α）、-氧化氮（NO）、一氧化氮合酶（NOS）、心肌肌钙蛋白I（cTnI）、肌酸激酶同T酶（CK-MB）、肌酐（Cr）、β2-微球蛋白（β2-MG）、丙氨酸转氨酶（AlT）和天冬氨酸转氨酶（AST）活水平；记录发病72h内MODS发生情况，线性回归分析EIDC与MODS的相关性。结果124例EHS患者均为男性；平均年龄（22．10±4．43）岁；EIDC9＋组20例，EIDC10＋组61例，EIDC11＋组43例。不同脑水肿程度组患者发病2h血清Il-1β、TNF-α、NO、NOS、cTnI、CK-MB、Cr、β2-MG、AlT、AST水平比较差异均无统计学意义，发病72h各指标均明显高于发病2h时；脑水肿程度越重，各指标升高越明显[EIDC9＋组、10＋组、11＋组72hIl-1β（ng／l）分别为12．05±3，75、18．49±7．94、23．21±10．44，TNF-α（ng／l）分别为13．10±3．18、18．92±7．23、23．40±10．17，NO（μmol／l）分别为99．50±12．10、111．41±17．75、120．81±15．58，NOS（kU／l）分别为47．95±8．33、56．70±12．12、63．37±12．60，cTnI（ng／l）分别为92．75±20．92、107．20±18．96、117．30±14．53，CK-MB（U／l）分别为73．55±9．25、83．23±13．19、93．49±12．25，Cr（μmol／l）分别为165．30±9．41、176．62±9．83、180．09±10．14，13，-MG（mg／l）分别为16．45±2．68、19．07±3．68、22．05±3．93，AlT（U／l）分别为500．10±87．05、563．90±91．28、612．16±90．61，AST（U／l）分别为414．30±53．35、470．51±73．83、512．09±81．29．两两比较均P〈0．05]，MODS发生率也越高【40．00％（8／20）、65．57％（40／61）、83．72％（36／43），x2=12．199，P=0．002]。线性回归分析显示，脑水肿程度与MODS发生率呈显著正相关（R2=0．905，P=0．002）。结论EHS患者72h内脑水肿程度越重，机体炎症反应越强烈，心、肝、肾等器官损伤越严重。

关键词：热射病劳力性电阻抗扰动系数多器官功能障碍综合征脑水肿白细胞介素-1β 一氧化氮肌钙蛋白

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基于DBN模型的遥感图像分类

计算机研究与发展 2014年第9期51卷 1911-1918页

作者：吕启窦勇牛新徐佳庆夏飞国防科学技术大学计算机学院并行与分布处理国防科技重点实验室长沙410073 海军工程大学电子工程学院武汉430033

遥感图像分类是地理信息系统(geographic information system,GIS)的关键技术,对城市规划与管理起到十分重要的作用.近年来,深度学习成为机器学习领域的一个新兴研究方向.深度学习采用模拟人脑多层结构的方式,对数据从低层到高层渐进地... 详细信息

遥感图像分类是地理信息系统(geographic information system,GIS)的关键技术,对城市规划与管理起到十分重要的作用.近年来,深度学习成为机器学习领域的一个新兴研究方向.深度学习采用模拟人脑多层结构的方式,对数据从低层到高层渐进地进行特征提取,从而发掘数据在时间与空间上的规律,进而提高分类的准确性.深度信念网络(deep belief network,DBN)是一种得到广泛研究与应用的深度学习模型,它结合了无监督学习和有监督学习的优点,对高维数据具有较好的分类能力.提出一种基于DBN模型的遥感图像分类方法,并利用RADARSAT-2卫星6d的极化合成孔径雷达(synthetic aperture radar,SAR)图像进行了验证.实验表明,与支持向量机(SVM)及传统的神经网络(nn)方法相比,基于DBN模型的方法可以取得更好的分类效果.

关键词：遥感图像合成孔径雷达地物分类深度学习受限玻尔兹曼机深度信念网络

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通信兵智力水平与专业水平的关系

第四军医大学学报 2001年第12期22卷 F002-F002页

作者：朱霞刘志宏陈国民江楠楠第四军医大学航空航天医学系心理学教研室陕西西安710033 济南医学高等专科学校军事医学教研室

0 引言智力在很大程度上决定着个体的作业绩效水平［1-3］，同时也是预测个体职业成就的一个重要指标. 因此，我们试图通过对通信兵智力的测量与分析，揭示通信兵智力与专业技术水平的关系以及通信兵重要岗位人员智力与专业技术水平的... 详细信息

0 引言智力在很大程度上决定着个体的作业绩效水平［1-3］，同时也是预测个体职业成就的一个重要指标. 因此，我们试图通过对通信兵智力的测量与分析，揭示通信兵智力与专业技术水平的关系以及通信兵重要岗位人员智力与专业技术水平的关系，为最终科学地建立通信兵职业适宜性测评体系奠定必要的工作基础.

关键词：通信兵智力专业水平

Measurements of dihadron correlations relative to the event plane in Au+Au collisions at√^(S)nn=200 GeV

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Chinese Physics C 2021年第4期45卷 198-241页

作者： H.Agakishiev M.M.Aggarwal Z.Ahammed A.V.Alakhverdyants I.Alekseev J.Alford B.D.Anderson C.D.Anson D.Arkhipkin G.S.Averichev J.Balewski D.R.Beavis N.K.Behera R.Bellwied M.J.Betancourt R.R.Betts A.Bhasin A.K.Bhat H.Bichsel J.Bieleik J.Bielcikova B.Biritz l.C.Bland W.Borowski J.Bouchet E.Braidot A.V.Brandin A.Bridgeman S.G.Brovko E.Bruna S.Bueltmann I.Bunzarov T.P.Burton X.Z.Cai H.Caines M.Calderon de la Barca Sanchez D.Cebra R.Cendejas M.C.Cervantes Z.Chajecki P.Chaloupka S.Chattopadhyay H.F.Chen J.H.Chen J.Y.Chen l.Chen J.Cheng M.Cherney A.Chikanian K.E.Choi W.Christie P.Chung M.J.M.Codrington R.Corliss J.G.Cramer H.J.Crawford S.Dash A.Davila leyva l.C.De Silvat R.R.Debbe T.G.Dedovich A.A.Derevschikov R.Derradi de Souza l.Didenko P.Djawotho S.M.Dogra X.Dong J.l.Drachenberg J.E.Draper J.C.Dunlop l.G Efimov M.Elnim J.Engelage G Eppley M.Estienne l.Eun O.Evdokimov R.Fatemi J.Fedorisin A.Feng R.G.Fersch P.Filip E.Finch V.Fine Y.Fisyak C.A.Gagliardi D.R.Gangadharan A.Geromitsos F.Geurts P.Ghosh Y.N.Gorbunov A.Gordon O.Grebenyuk D.Grosnick S.M.Guertin A.Gupta W.Guryn B.Haag O.Hajkova A.Hamed l-X.Han J.W.Harris J.P.Hays-Wehle M.Heinz S.Heppelmann A.Hirsch E.Hjort G.W.Hoffmann D.J.Hofiman B.Huang H.Z.Huang T.J.Humanic l.Huo G.Igo P.Jacobs W.W.Jacobs C.Jena F.Jin J.Joseph E.G.Judd S.Kabana K.Kang J.Kapitan K.Kauder H.Ke D.Keane A.Kechechyan D.Kettler D.P.Kikola J.Kiryluk A.Kisiel V.Kizka A.G.Knospe D.D.Koetke T.Kollegger J.Konzer I.Koralt l.Koroleva W.Korsch l.Kotchenda V.Kouchpil P.Kravtsov K.Krueger M.Krus l.Kumar P.Kurnadi M.A.C.lamont J.M.landgraf S.laPointe J.lauret A.lebedev R.lednicky J.H.lee W.leight M.J.leVine C.lil l.li N.li W.li X.li X.li Y.li Z.M.li M.A.lisa F.liu H.liu J.liu T.ljubicic W.J.llope R.S.longacre W.A.love Y.lu E.V.lukashov X.luo G.l.Ma Y.G.Mai D.P.Mahapatra R.Majka O.I.Mall l.K.Mangotra R.Manweiler S.Margetis C.Markert H.Masui H.S.Matis Yu.A.Matulenko D.MeDonald T.S.McShane A.Meschanin R.Milner N.G.Minaev S.Mioduszewski A.Mischke M.K.Mitrovski B.Mohanty M.M.Mondal B.Morozov D.A.Morozov M.G.Munhoz M Argonne National laboratory Argonnellinois 60439USA Brookhaven National laboratory UptonNew York 11973USA University of Califomia BerkeleyCaliformnia 94720USA University of California DavisCalifornia 95616USA University of Califormnia Los AngelesCalifomia 90095USA Universidade Estadual de Campinas Sao PauloBrazil University of Illinois at Chicago ChicagoIlinois 60607USA Creighton University OmahaNebraska 68178USA Czech Technical University in Prague FNSPEPrague11519Czech Republic Nuclear Physics Institute AS CR 25068 Rez/PragueCzech Republic University of Frankfurt FrankfurtGermany Institute of Physics Bhubaneswar 751005India Indian Institute of Technology MumbaiIndia Indiana University BloomingtonIndiana 47408USA Alikhanov Instiute for Theoretical and Experimental Physics MoscowRussia University of Jammu Jammu 180001India Joint Institute for Nuclear Research Dubna141980Russia Kent State University KentOhio 44242USA University of Kentucky LexingtonKentucky40506-0055USA Institute of Modern Physics LanzhouChina lawrence Berkeley National laboratory BerkeleyCalifornia 94720USA Massachusetts Institute of Technology CambridgeMA 02139-4307USA Mx-Planck-Institut fir Physik MunichGermany Michigan State University East LansingMichigan 48824USA Moscow Engineering Physics Institute Moscow Russia NIKHEF and Utrecht University AmsterdamThe Netherlands Ohio State University ColumbusOhio 43210USA Old Dominion University NorfolkVA23529USA Panjab University Chandigarh 160014India PennsyIvania State University University ParkPennsylvania 16802USA Institute of High Energy Physics ProtvinoRussia Purdue University West LafayetteIndiana 47907USA Pusan National University PusanRepublic of Korea University of Rajasthan Jaipur 302004India Rice University HoustonTexas 77251USA Universidade de Sao Paulo Sao PauloBrazil University of Science&Technology of China Hefei 230026.China Shandong University JinanShandong 250100China Shanghai Institute of Applied Physics Shanghai 201800Chi

Dihadron azimuthal correlations containing a high transverse momentum(pr)trigger particle are sensit-ive to the properties of the nuclear medium created at RHIC through the strong interactions occurring between the traversing parton and the medium,*** measurements revealed a strong modification to di-hadron azimuthal correlations in Au+Au collisions with respect to ptp and d+Au *** modification in-creases with the collision centrality,suggesting a path-length or energy density dependence to the je-quenching *** paper reports STAR measurements of dihadron azimuthal correlations in mid-central(20%-60%)Au+Au collisions at√^(S)nn=200 GeV as a function of the trigger particle's azimuthal angle relative to the event plane,Ф_(s)=|Ф_(t)-ψ_(Ep)|.The azimuthal correlation is studied as a function of both the trigger and associated particle *** subtractions of the combinatorial background and anisotropic flow,assuming Zero Yield At Minimum(ZYAM),are *** correlation results are first discussed with subtraction of the even harmonic(elliptic and quadrangu-lar)flow *** away-side correlation is strongly modifed,and the modification varies withФ_(s),with a double-peak structure for out-of-plane trigger *** near-side ridge(long range pseudo-rapidity△_(η)correla-tion)appears to drop with increasingФ_(s)while the jet-like component remains approximately *** correla-tion functions are further studied with the subtraction of odd harmonic triangular flow background arising from *** is found that the triangular flow,while responsible for the majority of the amplitudes,is not sufficient to explain theφs-dependence of the ridge or the away-side double-peak *** dropping ridge withФ_(s)could be attributed to aФ_(s)-dependent lliptie anisotropy;however,the physics mechanism of the ridge remains an open *** with aФ_(s)-dependent elliptic flow,the away-side correlation structure

关键词： relativistic heavy ion collisions dihadron correlations jet-medium interactions anisotropic flow background event plane

基于nn-PID算法的变风量空调系统空气品质控制

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西北大学学报（自然科学版） 2012年第4期42卷 557-562页

作者：白燕任庆昌吕晶西安建筑科技大学理学院陕西西安710055 西安建筑科技大学土木工程学院陕西西安710055 西北大学城市与环境学院陕西西安710069

目的针对典型会议室环境,基于需求控制通风策略,对变风量中央空调系统房间空气品质控制进行研究。方法以典型的会议室环境为研究对象,分别建立空调新风系统模型及房间CO2浓度模型;设计nn-PID(神经网络-PID)算法,并进行控制与仿真;在变... 详细信息

目的针对典型会议室环境,基于需求控制通风策略,对变风量中央空调系统房间空气品质控制进行研究。方法以典型的会议室环境为研究对象,分别建立空调新风系统模型及房间CO2浓度模型;设计nn-PID(神经网络-PID)算法,并进行控制与仿真;在变风量空调实验平台上进行验证。结果所设计的nn-PID算法能有效利用神经网络训练过程,在线自整定PID参数,控制效果优于传统PID算法。结论根据室内CO2浓度变化控制新风量,能很好地适应室内CO2浓度的动态特性,提高室内空气品质。

关键词：需求控制通风室内空气品质 CO2浓度神经网络PID控制

对超声图像不同解释可能使所报告的新西兰新生儿重症监护病房中的白质损害的发生率有所不同

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世界核心医学期刊文摘（儿科学分册） 2006年第5期2卷 11-12页

作者： Harris D.l. Bloomfield F.H. Teele R.l. Harding J.E. 郭战宏 liggins Institute Faculty of Medical and Health Sciences University of Auckland Private Bag 92019 Auckland New ZealandProf

Background: The incidence of cerebral white matter damage reported to the Aust ralian and New Zealand Neonatal Network (ANZnn) varies between neonatal intensiv e care units (NICUs). Hypothesis: Differences in the capture, storage, and inter pretation of the cerebral ultrasound scans could account for some of this variation. Methods: A total of 255 infants of birth weight lly from each of the six NICUs i n New Zealand were randomly selected from the ANZnn database. Half had early cerebral ultrasound scans previously reported to ANZnn as normal, and half had scan s reported as abnormal. The original scans were copied, anonymised, and independ ently read by a panel of three experts using a standardised method of reviewing and reporting. Results: There was considerable variation between NICUs in method s of image capture, quality, and completeness of the scans. There was only moder ate agreement between the reviewers’reports and the original reports to the ANZ nn (κ0.45-0.51) and between the reviewers (κ0.54-0.64). The reviewers report ed three to six times more white matter damage than had been reported to the ANZ nn. Conclusion: Some of the reported variation in white matter damage between NI CUs may be due to differences in capture and interpretation of cerebral ultrasou nd scans.

关键词：新生儿重症监护病房(NICU) 脑白质损害新西兰发生率超声图像出生时体重澳大利亚超声检查数据库婴儿

Methods for a blind analysis of isobar data collected by the STAR collaboration

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Nuclear Science and Techniques 2021年第5期32卷 43-50页

作者： J.Adam l.Adamczyk J.R.Adams J.K.Adkins G.Agakishiev M.M.Aggarwal Z.Ahammed I.Alekseev D.M.Anderson A.Aparin E.C.Aschenauer M.U.Ashraf F.G.Atetalla A.Attri G.S.Averichev V.Bairathi K.Barish A.Behera R.Bellwied A.Bhasin J.Bielcik J.Bielcikova l.C.Bland I.G.Bordyuzhin J.D.Brandenburg A.V.Brandin J.Butterworth H.Caines M.Calderon de la Barca Sanchez D.Cebra I.Chakaberia P.Chaloupka B.K.Chan F-H.Chang Z.Chang N.Chankova-Bunzarova A.Chatterjee D.Chen J.Chen J.H.Chen X.Chen Z.Chen J.Cheng M.Cherney M.Chevalier S.Choudhury W.Christie X.Chu H.J.Crawford M.Csanad M.Daugherity T.G.Dedovich I.M.Deppner A.A.Derevschikov l.Didenko X.Dong J.l.Drachenberg J.C.Dunlop T.Edmonds N.Elsey J.Engelage G.Eppley S.Esumi O.Evdokimov A.Ewigleben O.Eyser R.Fatemi S.Fazio P.Federic J.Fedorisin C.J.Feng Y.Feng P.Filip E.Finch Y.Fisyak A.Francisco l.Fulek C.A.Gagliardi T.Galatyuk F.Geurts A.Gibson K.Gopal X.Gou D.Grosnick W.Guryn A.I.Hamad A.Hamed S.Harabasz J.W.Harris S.He W.He X.H.He Y.He S.Heppelmann S.Heppelmann N.Herrmann E.Hoffman l.Holub Y.Hong S.Horvat Y.Hu H.Z.Huang S.l.Huang T.Huang X.Huang T.J.Humanic P.Huo G.Igo D.Isenhower W.W.Jacobs C.Jena A.Jentsch Y.Ji J.Jia K.Jiang S.Jowzaee X.Ju E.G.Judd S.Kabana M.l.Kabir S.Kagamaster D.Kalinkin K.Kang D.Kapukchyan K.Kauder H.W.Ke D.Keane A.Kechechyan M.Kelsey Y.V.Khyzhniak D.P.Kikoła C.Kim B.Kimelman D.Kincses T.A.Kinghorn I.Kisel A.Kiselev M.Kocan l.Kochenda l.K.Kosarzewski l.Kramarik P.Kravtsov K.Krueger N.Kulathunga Mudiyanselage l.Kumar S.Kumar R.Kunnawalkam Elayavalli J.H.Kwasizur R.lacey S.lan J.M.landgraf J.lauret A.lebedev R.lednicky J.H.lee Y.H.leung C.li C.li W.li W.li X.li Y.li Y.liang R.licenik T.lin Y.lin M.A.lisa F.liu H.liu P.liu P.liu T.liu X.liu Y.liu Z.liu T.ljubicic W.J.llope R.S.longacre N.S.lukow S.luo X.luo G.l.Ma l.Ma R.Ma Y.G.Ma N.Magdy R.Majka D.Mallick S.Margetis C.Markert H.S.Matis J.A.Mazer N.G.Minaev S.Mioduszewski B.Mohanty I.Mooney Z.Moravcova D.A.Morozov M.Nagy J.D.Nam Md.Nasim K.Nayak D.Neff J.M.Nelson D.B.Nemes M.Nie G.Nigmatkulov T.Niida l.V.Nogach T.Nonak Christian University AbileneTX 796992 AGH University of Science and Technology FPACSCracow 30-059Poland Alikhanov Institute for Theoretical and Experimental Physics NRC"Kurchatov Institute" MoscowRussia 117218 Argonne National laboratory ArgonneIL 60439 American University of Cairo New CairoNew Cairo 11835Egypt Brookhaven National laboratory UptonNY 11973 University of California BerkeleyCA 94720 University of California DavisCA 95616 University of California Los AngelesCA 90095 University of California RiversideCA 92521 Central China Normal University Wuhan 430079 University of Illinois at Chicago ChicagoIL 60607 Creighton University OmahaNE 68178 Czech Technical University in Prague FNSPEPrague 11519Czech Republic Technische Universitat Darmstadt Darmstadt 64289Germany ElTE Eotvos lorand University Budapest 1117Hungary Frankfurt Institute for Advanced Studies FIAS Frankfurt 60438Germany Fudan University Shanghai 200433 University of Heidelberg 69120 HeidelbergGermany University of Houston HoustonTX 77204 Huzhou University Huzhou 313000 Indian Institute of Science Education and Research(IISER) Berhampur 760010India Indian Institute of Science Education and Research(IISER)Tirupati Tirupati 517507India Indian Institute Technology PatnaBihar 801106India Indiana University BloomingtonIN 47408 Institute of Modern Physics Chinese Academy of SciencesLanzhou 730000 University of Jammu Jammu 180001India Joint Institute for Nuclear Research DubnaRussia 141980 Kent State University KentOH 44242 University of Kentucky LexingtonKY 40506-0055 lawrence Berkeley National laboratory BerkeleyCA 94720 lehigh University BethlehemPA 18015 Max-Planck-Institut fur Physik 80805 MunichGermany Michigan State University East LansingMI 48824 National Research Nuclear University MEPhI MoscowRussia 115409 National Institute of Science Education and Research HBNIJatni 752050India National Cheng Kung University Tainan 70101 Nuclear Physics Institute of the CAS Rez 25068Czech Republic Ohio State University

In 2018,the STAR collaboration collected data from^(96)_(44)Ru+^(96)_(44)Ru and^(96)_(40)Zr+^(96)_(40)Zr at√^(S)nn=200 Ge V to search for the presence of the chiral magnetic effect in collisions of *** isobar collision species alternated frequently between 9644 Ru+^(96)_(44)Ru and^(96)_(40)Zr+^(96)_(40)*** order to conduct blind analyses of studies related to the chiral magnetic effect in these isobar data,STAR developed a three-step blind analysis *** are initially provided a"reference sample"of data,comprised of a mix of events from the two species,the order of which respects time-dependent changes in run *** tuning analysis codes and performing time-dependent quality assurance on the reference sample,analysts are provided a species-blind sample suitable for calculating efficiencies and corrections for individual≈30-min data-taking *** this sample,species-specific information is disguised,but individual output files contain data from a single isobar *** run-by-run corrections and code alteration subsequent to these corrections are allowed at this *** these modifications,the"frozen"code is passed over the fully un-blind data,completing the blind *** a check of the feasibility of the blind analysis procedure,analysts completed a"mock data challenge,"analyzing data from Au+Au collisions at√^(S)nn=27 Ge V,collected in *** Au+Au data were prepared in the same manner intended for the isobar blind *** details of the blind analysis procedure and results from the mock data challenge are presented.

关键词： Blind analysis Chiral magnetic effect Heavy-ion collisions