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Measurement of integrated luminosities at BESⅢ for data samples at center-of-mass energies between 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：麦迪娜 M.N.Achasov P.Adlarson S.Ahmed M.Albrecht R.Aliberti A.Amoroso 安美儒安琪白旭红白羽 O.Bakina R.Baldini Ferroli I.Balossino 班勇 V.Batozskaya D.Becker K.Begzsuren N.Berger M.Bertani D.Bettoni F.Bianchi J.Bloms A.Bortone I.Boyko R.A.Briere A.Brueggemann 蔡浩蔡啸 A.Calcaterra 曹国富曹宁 S.A.Cetin 常劲帆常万玲 G.Chelkov 陈琛陈刚陈和生陈玛丽陈申见 T.Chen 陈旭荣 X.T.Chen 陈元柏陈卓俊成伟帅初晓 G.Cibinetto F.Cossio 崔佳佳代洪亮代建平 A.Dbeyssi R.Ede Boer D.Dedovich 邓子艳 A.Denig I.Denysenko M.Destefanis F.De Mori 丁勇董静董燎原董明义董翔杜书先 P.Egorov 范玉兰方建房双世方文兴方易 R.Farinelli L.Fava F.Feldbauer G.Felici 封常青冯俊华 K.Fischer M.Fritsch C.Fritzsch 傅成栋高涵高原宁高扬 S.Garbolino I.Garzia 葛潘婷耿聪 E.M.Gersabeck A Gilman K.Goetzen 龚丽龚文煊 W.Gradl M.Greco 顾旻皓关春懿郭爱强郭立波郭如盼郭玉萍 A.Guskov 韩婷婷韩文颖郝喜庆 F.A.Harris 何凯凯何康林 F.H.Heinsius C.H.Heinz 衡月昆 C.Herold M.Himmelreich T.Holtmann 侯国一侯颖锐侯治龙胡海明 J.F.Hu 胡涛胡誉黄光顺黄凯旋黄麟钦黄麟钦黄性涛黄燕萍 Z.Huang T.Hussain N Hüsken W.Imoehl M.Irshad J.Jackson S.Jaeger S.Janchiv Q.Ji 姬清平季晓斌季筱璐吉钰瑶贾泽坤姜侯兵姜赛赛江晓山 Y.Jiang 焦健斌焦铮金山金毅荆茂强 T.Johansson N.Kalantar-Nayestanaki 康晓珅 R.Kappert M.Kavatsyuk 柯百谦 I.K.Keshk A.Khoukaz P.Kiese R.Kiuchi R.Kliemt L.Koch O.B.Kolcu B.Kopf M.Kuemmel M.Kuessner A.Kupsc W.Kühn J.J.Lane J.S.Lange P.Larin A.Lavania L.Lavezzi 雷祚弘 H.Leithoff M.Lellmann T.Lenz 李聪李翠李春花李澄李德民李飞李刚李贺 H.Li 李海波李惠静 H.N.Li J.Q.Li 李静舒李井文李科 L.J Li 李龙科李蕾李明浩李培荣李素娴栗帅迎李腾李卫东李卫国李旭红李晓玲李晓宇李紫源梁浩梁昊梁浩梁勇飞梁羽铁廖广睿廖龙洲 J.Libby A.Limphirat C.X.Lin 林德旭 T.Lin 刘北江刘春秀 D.Liu 刘福虎刘芳刘峰 G.M.Liu H.Liu 刘怀民刘欢欢刘汇慧刘建北刘佳俊刘晶译刘凯刘魁勇刘珂刘亮刘美宏刘佩莲刘倩刘树彬刘桐刘维克刘卫民刘翔刘英刘玉斌刘振安刘智青娄辛丑卢飞翔吕海江吕军光陆小玲卢宇卢云鹏卢泽辉罗成林罗民兴罗涛罗小兰吕晓睿吕翌丰马凤才马海龙马连良马明明马秋梅马润秋马瑞廷马骁妍马尧 FEMaas M.Maggiora S.Maldaner S.Malde Q.A.Malik A.Mangoni 冒亚军毛泽普 S.Marcello 孟召霞 J.G.Messchendorp G.Mezzadri H.Miao 闵天觉 R.E.Mitchell 莫晓虎 N.Yu.Muchnoi H.Muramatsu Y.Nefedov F.Nerling I.B.Nikolaev 宁哲 S.Nisar 牛艳 S.L.Olsen 欧阳群 S.Pacetti 潘祥 Y.Pan A.Pathak A.Pathak M.Pelizaeus 彭海平 K.Peters J.Pettersson 平加伦平荣刚 S.Plura S.Pogodin R.Poling V.Prasad 齐法制齐航漆红荣祈鸣齐天钰钱森钱文斌钱圳乔从丰秦佳佳秦丽清覃潇平秦小帅秦中华邱进发屈三强 Institute of High Energy Physics Beijing 100049China Beihang University Beijing 100191China Beijing Institute of Petrochemical Technology Beijing 102617China Bochum Ruhr-University D-44780 BochumGermany Carnegie Mellon University PittsburghPennsylvania 15213USA Central China Normal University Wuhan 430079China China center of Advanced Science and Technology Beijing 100190China COMSATS University Islamabad Lahore CampusDefence RoadOff Raiwind Road54000 LahorePakistan Fudan University Shanghai 200433China G.I.Budker Institute of Nuclear Physics SB RAS(BINP) Novosibirsk 630090Russia GSI Helmholtzcentre for Heavy Ion Research GmbH D-64291 DarmstadtGermany Guangxi Normal University Guilin 541004China Hangzhou Normal University Hangzhou 310036China Helmholtz Institute Mainz Staudinger Weg 18D-55099 MainzGermany Henan Normal University Xinxiang 453007China Henan University of Science and Technology Luoyang 471003China Henan University of Technology Zhengzhou 450001China Huangshan College Huangshan 245000China Hunan Normal University Changsha 410081China Hunan University Changsha 410082China Indian Institute of Technology Madras Chennai 600036India Indiana University BloomingtonIndiana 47405USA INFN Laboratori Nazionali di Frascati INFN Laboratori Nazionali di FrascatiI-00044FrascatiItaly INFN Laboratori Nazionali di Frascati INFN Sezione di PerugiaI-06100PerugiaItaly INFN Laboratori Nazionali di Frascati University of PerugiaI-06100PerugiaItaly INFN Sezione di Ferrara INFN Sezione di FerraraI-44122FerraraItaly INFN Sezione di Ferrara University of FerraraI-44122FerraraItaly Institute of Modern Physics Lanzhou 730000China Institute of Physics and Technology Peace Ave.54BUlaanbaatar 13330Mongolia Jilin University Changchun 130012China Johannes Gutenberg University of Mainz Johann-Joachim-Becher-Weg 45D-55099 MainzGermany Joint Institute for Nuclear Research 141980 DubnaMoscow regionRussia Justus-Liebig-Universitaet Giessen II.Physikalisches InstitutHeinrich-Buff-Ring 16

The integrated luminosities of data samples collected in the BESⅢ experiment in 2016-2017 at centerof-mass energies between 4.19 and 4.28 GeV are measured with a precision better than 1% by analyzing large-angle Bhabha scattering *** integrated luminosities of old datasets collected in 2010-2014 are updated by considering corrections related to detector performance,offsetting the effect of newly discovered readout errors in the electromagnetic calorimeter,which can haphazardly occur.

关键词： integrated luminosity e^(+)e^(-)annihilation Bhabha scattering

Fungal diversity notes 111-252-taxonomic and phylogenetic contributions to fungal taxa

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Fungal Diversity 2015年第6期75卷 27-274页

作者： Hiran A.Ariyawansa Kevin D.Hyde Subashini C.Jayasiri Bart Buyck K.W.Thilini Chethana Dong Qin Dai Yu Cheng Dai Dinushani A.Daranagama Ruvishika S.Jayawardena Robert Lücking Masoomeh Ghobad-Nejhad Tuula Niskanen Kasun M.Thambugala Kerstin Voigt Rui Lin Zhao Guo-Jie Li Mingkwan Doilom Saranyaphat Boonmee Zhu L.Yang Qing Cai Yang-Yang Cui Ali H.Bahkali Jie Chen Bao Kai Cui Jia Jia Chen Monika C.Dayarathne Asha J.Dissanayake Anusha H.Ekanayaka Akira Hashimoto Sinang Hongsanan E.B.Gareth Jones Ellen Larsson Wen Jing Li Qi-Rui Li Jian Kui Liu Zong Long Luo Sajeewa S.N.Maharachchikumbura Ausana Mapook Eric H.C.McKenzie Chada Norphanphoun Sirinapa Konta Ka Lai Pang Rekhani H.Perera Rungtiwa Phookamsak Chayanard Phukhamsakda Umpava Pinruan Emile Randrianjohany Chonticha Singtripop Kazuaki Tanaka Cheng Ming Tian Saowaluck Tibpromma Mohamed A.Abdel-Wahab Dhanushka N.Wanasinghe Nalin N.Wijayawardene Jin-Feng Zhang Huang Zhang Faten A.Abdel-Aziz Mats Wedin Martin Westberg Joseph F.Ammirati Timur S.Bulgakov Diogo X.Lima Tony M.Callaghan Philipp Callac Cheng-Hao Chang Luis F.Coca Manuela Dal-Forno Veronika Dollhofer Kateřina Fliegerová Katrin Greiner Gareth W.Griffith Hsiao-Man Ho Valerie Hofstetter Rajesh Jeewon Ji Chuan Kang Ting-Chi Wen Paul M.Kirk Ilkka Kytövuori James D.Lawrey Jia Xing Hong Li Zou Yi Liu Xing Zhong Liu Kare Liimatainen H.Thorsten Lumbsch Misato Matsumura Bibiana Moncada Salilaporn Nuankaew Sittiporn Parnmen AndréL.C.M.de Azevedo Santiago Sujinda Sommai Yu Song Carlos A.F.de Souza Cristina M.de Souza-Motta Hong Yan Su Satinee Suetrong Yong Wang Syuan-Fong Wei Ting Chi Wen Hai Sheng Yuan Li Wei Zhou Martina Réblová Jacques Fournier Erio Camporesi J.Jennifer Luangsa-ard Kanoksri Tasanathai Artit Khonsanit Donnaya Thanakitpipattana Sayanh Somrithipol Paul Diederich Ana M.Millanes Ralph S.Common Marc Stadler Ji Ye Yan XingHong Li Hye Won Lee Thi T.T.Nguyen Hyang Burm Lee Eliseo Battistin Orlando Marsico Alfredo Vizzini Jordi Vila Enrico Ercole Ursula Eberhardt Giampaolo Simonini Hua-An Wen Xin-Hua Chen Otto Mie Guizhou Key Laboratory of Agricultural Biotechnology Guizhou Academy of Agricultural SciencesGuiyang 550006GuizhouChina Key Laboratory for Plant Diversity and Biogeography of East Asia Kunming Institute of BotanyChinese Academy of ScienceKunming 650201YunnanChina Centre of Excellence in Fungal Research Mae Fah Luang UniversityChiang Rai 57100Thailan Département Systématique et Evolution CP 39ISYEBUMR 7205 CNRS MNHN UPMC EPHEMuséum National d’Histoire Naturelle12 Rue BuffonF-75005 ParisFrance Institute of Plant and Environment Protection Beijing Academy of Agriculture and Forestry SciencesNo.9 of Shu Guang Hua Yuan Zhong LuHaidian DistrictBeijing 10097China Microbial Drugs Helmholtz-Centre for Infection Research Inhoffenstrasse 738124 BraunschweigGermany Staatliches Museum für Naturkunde Stuttgart Rosenstein 1D-70191StuttgartGermany Institute of Microbiology Beijing Forestry UniversityPO Box 61Beijing 100083China State Key Laboratory of Mycology Institute of MicrobiologyChinese Academy of SciencesNo 31st West Beichen RoadChaoyang DistrictBeijing 100101China The Herbarium(ANDA) Universitas AndalasPadangSumatera Barat 25163Indonesia Botanischer Garten&Botanisches Museum Berlin Freie Universität BerlinKönigin-Luise-Straße 6-814195 BerlinGermany Department of Biotechnology Iranian Research Organization for Science and Technology(IROST)P.O.Box 3353-5111Tehran ***Iran Jodrell Laboratory Royal Botanic GardensKew TW93DSUK Leibniz Institute for Natural Product Research and Infection Biology Jena Microbial Resource CollectionAdolf-Reichwein-Strasse 2307745 JenaGermany Department of Botany and Microbiology College of ScienceKing Saud UniversityP.O.Box:2455Riyadh 1145Saudi Arabia The United Graduate School of Agricultural Sciences Iwate University18-8 Ueda 3 ChomeMorioka 020-8550Japan Faculty of Agriculture and Life Sciences Hirosaki University3 Bunkyo-choHirosakiAomori 036-8561Japan Department of Biological and Environmental Sciences University of GothenburgBox 461SE

This paper is a compilation of notes on 142 fungal taxa,including five new families,20 new genera,and 100 new species,representing a wide taxonomic and geographic *** new families,Ascocylindricaceae,Caryosporaceae and Wicklowiaceae(Ascomycota)are introduced based on their distinct lineages and unique *** new Dothideomycete genera Pseudomassariosphaeria(Amniculicolaceae),Heracleicola,Neodidymella and Pseudomicrosphaeriopsis(Didymellaceae),Pseudopithomyces(Didymosphaeriaceae),Brunneoclavispora,Neolophiostoma and Sulcosporium(Halotthiaceae),Lophiohelichrysum(Lophiostomataceae),Galliicola,Populocrescentia and Vagicola(Phaeosphaeriaceae),Ascocylindrica(Ascocylindricaceae),Elongatopedicellata(Roussoellaceae),Pseudoasteromassaria(Latoruaceae)and Pseudomonodictys(Macrodiplodiopsidaceae)are *** newly described species of Dothideomycetes(Ascomycota)are Pseudomassariosphaeria bromicola(Amniculicolaceae),Flammeascoma lignicola(Anteagloniaceae),Ascocylindrica marina(Ascocylindricaceae),Lembosia xyliae(Asterinaceae),Diplodia crataegicola and Diplodia galiicola(Botryosphaeriaceae),Caryospora aquatica(Caryosporaceae),Heracleicola premilcurensis and Neodidymella thailandicum(Didymellaceae),Pseudopithomyces palmicola(Didymosphaeriaceae),Floricola viticola(Floricolaceae),Brunneoclavispora bambusae,Neolophiostoma pigmentatum and Sulcosporium thailandica(Halotthiaceae),Pseudoasteromassaria fagi(Latoruaceae),Keissleriella dactylidicola(Lentitheciaceae),Lophiohelichrysum helichrysi(Lophiostomataceae),Aquasubmersa japonica(Lophiotremataceae),Pseudomonodictys tectonae(Macrodiplodiopsidaceae),Microthyrium buxicola and Tumidispora shoreae(Microthyriaceae),Alloleptosphaeria clematidis,Allophaeosphaeria cytisi,Allophaeosphaeria subcylindrospora,Dematiopleospora luzulae,Entodesmium artemisiae,Galiicola pseudophaeosphaeria,Loratospora luzulae,Nodulosphaeria senecionis,Ophiosphaerella aquaticus,Populocrescentia forlicesenensis and Vagicola vagans(Phaeosphaeriaceae),Elon

关键词： Fungi Taxonomy New genus New species Phylogeny

Intracellular distribution of amyloid beta peptide and its relationship to the lysosomal system

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Translational Neurodegeneration 2012年第1期1卷 152-158页

作者： Lin Zheng Angel Cedazo-Minguez Martin Hallbeck Fredrik Jerhammar Jan Marcusson Alexei Terman Division of Geriatric Medicine Department of Clinical and Experimental MedicineIKEFaculty of Health SciencesLinkoping UniversityLinkoping SE-58185Sweden KI-AlzheimerDisease Research center NVSNovumKarolinska InstitutetStockholm SE-14157Sweden Division of Pathology Department of Clinical and Experimental MedicineIKEFaculty of Health ScienceLinköping UniversityLinköping SE-58185Sweden Departmentof Pathology Linköping University HospitalLinkoping SE-58185Sweden Experimental Pathology Department of Clinical and Experimental MedicineIKEFaculty of Health ScienceLinkoping UniversityLinkoping SE-58185Sweden Department of Clinical Pathology and Cytology Karolinska University HospitalStockholm SE-14186HuddingeSweden

Background:Amyloid beta peptide(Aβ)is the main component of extraneuronal senile plaques typical of Alzheimer’s disease(AD)*** Aβis produced by normal neurons,it is shown to accumulate in large amounts within neuronal lysosomes in *** have recently shown that under normal conditions the majority of Aβis localized extralysosomally,while oxidative stress significantly increases intralysosomal Aβcontent through activation of *** is also suggested that impaired Aβsecretion and resulting intraneuronal increase of Aβcan contribute to AD ***,it is not clear how Aβis distributed inside normal neurons,and how this distribution is effected when Aβsecretion is ***:Using retinoic acid differentiated neuroblastoma cells and neonatal rat cortical neurons,we studied intracellular distribution of Aβby double immunofluorescence microscopy for Aβ40 or Aβ42 and different organelle *** addition,we analysed the effect of tetanus toxin-induced exocytosis inhibition on the intracellular distribution of Aβ.Results:Under normal conditions,Aβwas found in the small cytoplasmic granules in both neurites and *** minor portion of Aβwas colocalized with trans-Golgi network,Golgi-derived vesicles,early and late endosomes,lysosomes,and synaptic vesicles,while the majority of Aβgranules were not colocalized with any of these ***,treatment of cells with tetanus toxin significantly increased the amount of intracellular Aβin both perikarya and ***,we found that tetanus toxin increased the levels of intralysosomal Aβalthough the majority of Aβstill remained ***:Our results indicate that most Aβis not localized to Golgi-related structures,endosomes,lysosomes secretory vesicles or other organelles,while the suppression of Aβsecretion increases intracellular intra-and extralysosomal Aβ.

关键词： Alzheimer disease Amyloidβ-protein Colocalization Exocytosis Immunocytochemistry Lysosomes

Nanoelectromechanical Sensors Based on Suspended 2D Materials

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Research 2020年第1期2020卷 1612-1636页

作者： Max C.Lemme Stefan Wagner Kangho Lee Xuge Fan Gerard J.Verbiest Sebastian Wittmann Sebastian Lukas Robin J.Dolleman Frank Niklaus Herre S.Jvan der Zant Georg S.Duesberg Peter G.Steeneken Chair of Electronic Devices RWTH Aachen UniversityOtto-Blumenthal-Str.252074 AachenGermany AMO GmbH Advanced Microelectronic Center Aachen(AMICA)Otto-Blumenthal-Str.2552074 AachenGermany Institute of Physics Faculty of Electrical Engineering and Information TechnologyUniversität der Bundeswehr MünchenWerner-Heisenberg-Weg 3985577 NeubibergGermany Division of Micro and Nanosystems KTH Royal Institute of TechnologyMalvinas Vag 1010044 StockholmSweden Department of Precision and Microsystems Engineering Delft University of TechnologyMekelweg 22628 CD DelftNetherlands Infineon Technologies AG Wernerwerkstraße 293049 RegensburgGermany nd Institute of Physics RWTH Aachen UniversityOtto-Blumenthal-Str.52074 AachenGermany Kavli Institute of Nanoscience Delft University of TechnologyLorentzweg 12628 CJ DelftNetherlands

The unique properties and atomic thickness of two-dimensional(2D)materials enable smaller and better nanoelectromechanical sensors with novel *** the last decade,many studies have successfully shown the feasibility of using suspended membranes of 2D materials in pressure sensors,microphones,accelerometers,and mass and gas *** this review,we explain the different sensing concepts and give an overview of the relevant material properties,fabrication routes,and device operation ***,we discuss sensor readout and integration methods and provide comparisons against the state of the art to show both the challenges and promises of 2D material-based nanoelectromechanical sensing.

关键词： Sensors enable accelerometer

Navigation and Control of the PRISMA Formation： In-Orbit Experience

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Journal of Mechanics Engineering and Automation 2012年第5期2卷 312-320页

作者： Simone D'Amico Robin Larsson German Space Operations center (DLR/GSOC) Wessling 82234 Germany OHB Sweden (OHB-SE) Solna/Stockholm 17122 Sweden

This paper presents flight results and lessons learned from the Spaceborne Autonomous Formation Flying Experiment (SAFE) conducted by the German Space Operations center in the frame of the swedish PRISMA technology demonstration mission. PRISMA involves two fully autonomous formation-flying spacecraft which have been launched in June 2010 in a dawn/dusk orbit at an altitude of 750 km. SAFE represents one of the first demonstrations in low Earth orbit of an advanced guidance, navigation and control system for dual-spacecraft formations. Innovative techniques based on carrier-phase differential GPS (Global Positioning System), relative eccentricity/inclination vectors and impulsive maneuvering are validated and tuned in orbit to achieve centimeter accurate real-time relative navigation, reliable formation keeping at the meter level and flexible formation reconfiguration capabilities. The technologies demonstrated within SAFE are considered as key precursors of future distributed satellite systems for unrivaled remote sensing and space exploration.

关键词：相对导航控制系统 PRISMA 低地球轨道分布式卫星系统 Prisma 全球定位系统飞行实验

Measurement of the integrated Luminosities of cross-section scan data samples around theψ(3770)mass region

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Chinese Physics C 2018年第6期42卷 1-8页

作者：麦迪娜 M.N.Achasov S.Ahmed M.Albrecht M.Alekseev A.Amoroso 安芬芬安琪白羽 O.Bakina R.Baldini Ferroli 班勇 K.Begzsuren D.W.Bennett J.V.Bennett N.Berger M.Bertani D.Bettoni F.Bianchi E.Boger I.Boyko R.A.Briere 蔡浩蔡啸 O Cakir A.Calcaterra 曹国富 S.A.Cetin J.Chai 常劲帆 W.L.Chang G.Chelkov 陈刚陈和生陈江川陈玛丽陈平亮陈申见陈旭荣陈元柏褚新坤 G.Cibinetto F.Cossio 代洪亮代建平 A.Dbeyssi D.Dedovich 邓子艳 A.Denig I.Denysenko M.Destefanis F.De Mori 丁勇董超董静董燎原董明义豆正磊杜书先段鹏飞方建房双世方易 R.Farinelli L.Fava S.Fegan F.Feldbauer G.Felici 封常青 E.Fioravanti M.Fritsch 傅成栋高清高鑫磊高原宁高勇贵高榛 B.Garillon I.Garzia A.Gilman K.Goetzen 龚丽龚文煊 W.Gradl M.Greco 谷立民顾旻皓顾运厅郭爱强郭立波郭如盼郭玉萍 A.Guskov Z.Haddadi 韩爽郝喜庆 F.A.Harris 何康林何希勤 F.H.Heinsius T.Held 衡月昆 T.Holtmann 侯治龙胡海明胡继峰胡涛胡誉黄光顺黄金书黄性涛黄晓忠黄智玲 T.Hussain W.Ikegami Andersson M Irshad 纪全姬清平季晓斌季筱璐江晓山蒋兴雨焦健斌焦铮金大鹏金山金毅 T.Johansson A.Julin N.Kalantar-Nayestanaki X.S.Kang M.Kavatsyuk B.C.Ke柯百谦 T.Khan A.Khoukaz P.Kiese R.Kliemt L.Koch O.B.Kolcu B.Kopf M.Kornicer M.Kuemmel M.Kuessner A.Kupsc M.Kurth W.Kühn J.S.Lange M.Lara P.Larin L.Lavezzi S.Leiber H.Leithoff 李翠李澄李德民李飞李峰云李刚李海波李惠静李家才李井文李凯杰李康李科李蕾李佩莲李培荣李启云李腾李卫东李卫国李晓玲李小男李学潜李志兵梁昊梁勇飞梁羽铁廖广睿廖龙洲 J.Libby 林创新林德旭刘冰刘北江刘春秀刘栋刘殿宇刘福虎刘芳刘峰刘宏邦刘恒君刘怀民刘欢欢刘汇慧刘建北刘晶译刘凯刘魁勇刘珂刘兰雕刘倩刘树彬刘翔刘玉斌刘振安刘智青龙云飞娄辛丑吕海江吕军光卢宇卢云鹏罗成林罗民兴罗小兰 S.Lusso 吕晓睿马凤才马海龙马连良马明明马秋梅马旭宁马骁妍马玉明 F.E.Maas M.Maggiora Q.A.Malik A.Mangoni 冒亚军毛泽普 S.Marcello 孟召霞 J.G.Messchendorp G.Mezzadri 闵建闵天觉 R.E.Mitchell 莫晓虎莫玉俊 C.Morales Morales G.Morello N.Yu.Muchnoi H.Muramatsu A.Mustafa S.Nakhoul Y.Nefedov F.Nerling I.B.Nikolaev 宁哲 S.Nisar 牛顺利牛讯伊馬鹏欧阳群 S.Pacetti 潘越 M.Papenbrock P.Patteri M.Pelizaeus J.Pellegrino 彭海平彭志远 K.Peters J.Pettersson 平加伦平荣刚 A.Pitka R.Poling V.Prasad 漆红荣祁鸣齐天钰钱森乔从丰覃拈 X.S.Qin 秦中华邱进发 K.H.Rashid C.F.Redmer M.Richter M.Ripka M.Rolo 荣刚 Ch.Rosner 阮向东 A.Sarantsev M.Savrié C.Schnier K.Schoenning 单葳单心钰邵明沈成平沈培迅沈肖雁盛华义史欣宋娇娇 W.M.Song 宋欣颖 S.Sosio C.Sowa S.Spataro 孙功星孙俊峰孙亮孙胜森孙新华孙勇杰孙艳坤孙永昭孙志嘉孙振田谭雅星唐昌建唐光毅唐晓 I Tapan M.Tiemens B.Tsednee I.Uman G.S.Va Institute of High Energy Physics G.I.Budker Institute of Nuclear Physics SB RAS(BINP) the Novosibirsk State University Helmholtz Institute Mainz Bochum Ruhr-University University of Turin INFN State Key Laboratory of Particle Detection and Electronics University of Science and Technology of China Southeast University Joint Institute for Nuclear Research INFN Laboratori Nazionali di Frascati Peking University Institute of Physics and Technology Indiana University Carnegie Mellon University Johannes Gutenberg University of Mainz INFN Sezione di Ferrara the Moscow Institute of Physics and Technology Wuhan University Ankara University University of Chinese Academy of Sciences Istanbul Bilgi University the Functional Electronics Laboratory Tomsk State University University of South China Nanjing University Lanzhou University Shanghai Jiao Tong University Key Laboratory for Particle Physics Astrophysics and CosmologyMinistry of Education Shanghai Key Laboratory for Particle Physics and Cosmology Institute of Nuclear and Particle Physics Liaoning University Nankai University Zhengzhou University University of Ferrara University of Eastern Piedmont Tsinghua University Central China Normal University Beihang University University of Minnesota GSI Helmholtzcentre for Heavy Ion Research GmbH Guangxi University Nanjing Normal University KVI-CART University of Groningen Henan Normal University University of Hawaii University of Science and Technology Liaoning Shandong University University of the Punjab Uppsala University Huangshan College University of Jinan University of Muenster Justus-Liebig-Universitaet Giessen Ⅱ.Physikalisches Institut Istanbul Arel University Soochow University Sun Yat-Sen University Hangzhou Normal University Beijing Institute of Petrochemical Technology China center of Advanced Science and Technology Sichuan University Guangxi Normal University Indian Institute of Technology Madras Shanxi University Henan University of Science and Technology Zhejiang University INFN and University of Perugia Goethe

To investigate the nature of the Ψ（3770） resonance and to measure the cross section for e^＋e^-→DD, a cross-section scan data sample, distributed among 41 center-of-mass energy points from 3.73 to 3.89 GeV, was taken with the BESIII detector operated at the BEPCII collider in the year 2010. By analyzing the large angle Bhabha scattering events, we measure the integrated luminosity of the data sample at each center-of-mass energy point. The total integrated luminosity of the data sample is 76.16±0.04±0.61 pb^-1, where the first uncertainty is statistical and the second systematic.

关键词： Bhabha scattering events integrated luminosity BESⅢ

临床实践中的STAN:哥德堡市2年定期应用的结果

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世界核心医学期刊文摘（妇产科学分册） 2006年第10期2卷 13-13页

作者： Norén H. Blad S. Carlsson A. 马超 Departments of Obstetrics and Gynecology Perinatal Center Dr.

Objective: The purpose of this study was to monitor the introduction of the STAN-methodology(Noventa medical, Moelndal, Sweden). Study design: This was a prospective observational study covering the total population of deliveries at term during 2 years. Four thousand eight hundred and thirty out of 14,687 term pregnancies were monitored using the STAN S 21 fetal heart monitor and the associated clinical guidelines. Cord artery metabolic acidosis, neonatal outcome, and rates of operative deliveries for fetal distress were assessed. Results: The annual rate of STAN usage increased from 28.1%to 37.7%and was associated with a significant reduction in metabolic acidosis rate in the total population from 0.76%to 0.44%(P swedish randomized controlled trial(RCT) without increasing operative interventions for fetal distress.

关键词：临床实践 STAN 新生儿结局胎儿窘迫手术分娩足月分娩前瞻性观察代谢性酸中毒临床指南手

Concept Learning in Neuromorphic Vision Systems: What Can We Learn from Insects?

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Journal of Software Engineering and Applications 2014年第5期7卷 387-395页

作者： Fredrik Sandin Asad I.Khan Adrian G.Dyer Anang Hudaya M.Amin Giacomo Indiveri Elisabetta Chicca Evgeny Osipov EISLAB Lulea University of TechnologyLuleaSweden Clayton School of Information Technology Monash UniversityClaytonAustralia Department of Physiology Monash UniversityClaytonAustralia School of Media and Communication Royal Melbourne Institute of TechnologyMelbourneAustralia Faculty of Information Science&Technology(FIST) Multimedia UniversityMelakaMalaysia Institute of Neuroinformatics University of Zurich and ETH ZurichZurichSwitzerland Cognitive Interaction Technology Center of ExcellenceBielefeld UniversityBielefeldGermany Division of Computer Science Lulea University of TechnologyLuleaSweden

Vision systems that enable collision avoidance, localization and navigation in complex and uncertain environments are common in biology, but are extremely challenging to mimic in artificial electronic systems, in particular when size and power limitations apply. The development of neuromorphic electronic systems implementing models of biological sensory-motor systems in silicon is one promising approach to addressing these challenges. Concept learning is a central part of animal cognition that enables appropriate motor response in novel situations by generalization of former experience, possibly from a few examples. These aspects make concept learning a challenging and important problem. Learning methods in computer vision are typically inspired by mammals, but recent studies of insects motivate an interesting complementary research direction. There are several remarkable results showing that honeybees can learn to master abstract concepts, providing a road map for future work to allow direct comparisons between bio-inspired computing architectures and information processing in miniaturized “real” brains. Considering that the brain of a bee has less than 0.01% as many neurons as a human brain, the task to infer a minimal architecture and mechanism of concept learning from studies of bees appears well motivated. The relatively low complexity of insect sensory-motor systems makes them an interesting model for the further development of bio-inspired computing architectures, in particular for resource-constrained applications such as miniature robots, wireless sensors and handheld or wearable devices. Work in that direction is a natural step towards understanding and making use of prototype circuits for concept learning, which eventually may also help us to understand the more complex learning circuits of the human brain. By adapting concept learning mechanisms to a polymorphic computing framework we could possibly create large-scale decentralized computer vision system

关键词： Concept Learning Computer Vision Computer Architecture Neuromorphic Engineering Insect

Changes in different land cover areas and NDVI values in northern latitudes from 1982 to 2015

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Advances in Climate Change Research 2021年第4期12卷 456-465页

作者： XUE Shou-Ye XU Hai-Yan MU Cui-Cui WU Tong-Hua LI Wang-Ping ZHANG Wen-Xin Irina STRELETSKAYA Valery GREBENETS Sergey SOKRATOV Alexander KIZYAKOV WU Xiao-Dong Cryosphere Research Station on the Qinghai-Tibet Plateau State Key Laboratory of Cryospheric ScienceNorthwest Institute of Eco-Environment and ResourcesChinese Academy of SciencesLanzhou730000China School of Environmental and Municipal Engineering Lanzhou Jiaotong UniversityLanzhou730070China Key Laboratory of Western China's Environmental Systems(Ministry of Education) College of Earth and Environmental SciencesLanzhou UniversityLanzhou730000China Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) Zhuhai519000China University Cooperation of Polar Research Beijing100875China Southern Marine Science and Engineering Guangdong Laboratory(Guangzhou) Guangzhou511458China University of Chinese Academy of Sciences Beijing10049China School of Civil Engineering Lanzhou University of TechnologyLanzhou730050China Department of Physical Geography and Ecosystem Science Lund UniversityLundSE-22362Sweden center for Permafrost(CENPERM) Department of Geosciences and Natural Resource ManagementUniversity of CopenhagenCopenhagenDK-1165Denmark Geographical Faculty Lomonosov Moscow State UniversityMoscow119991Russia.

Climate warming leads to vast changes in the land cover types and plant biomass in the northern high-latitude *** overall trend is of shrubland and tree lines moving northwards,while changes in different land cover types and vegetation growth in response to climate change are largely ***,we selected land areas with latitudes higher than 50°N as the study *** compared the land cover type changes and explored relationships between the normalized difference vegetation index(NDVI)values of different land cover types,air temperature,and precipitation during 1982-2015 based on dynamic *** results indicated that forest and shrubland areas increased as a large area of grassland shifted to forest and *** snow/ice,tundra and grassland largely have decreased from 1982 to *** approximately 277.3×103 km2 of barren land(6.2%of the total barren land area in 1982)changed to tundra,the tundra area still decreased because some tundra shifted to forest and *** NDVI values of tundra significantly increased,but the shrubland showed a decreasing *** in the growing season(June to September)showed the largest positive correlation coefficients with the NDVI values of forest,tundra,grassland,and ***,due to shrubification processes and plant mortality in shrubland areas,the shrubland NDVI showed negative relationship with annual temperature but positively correlated with monthly *** together,although there is large room for improvement of the land cover type data accuracy,our results suggested that the land cover types in high-latitude regions changed significantly,while the NDVI values of the different land cover types showed different responses to climate change.

关键词： Air temperature Arctic Climate change Precipitation NDVI