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早期与进展期冠状动脉粥样硬化病变的鉴别:人离体心脏的CT、血管内超声和光学频域成像与组织病理学检查的系统比较

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国际医学放射学杂志 2013年第1期 61-61页

作者： P.Maurovich-Horvat C.L.Schlett H.Alkadhi M.nakano P.Stolzmann M.Vorpahl 赵健仪 Cardiac MR PET CT Program of the Department of Radiology Massachusetts General Hospital and Harvard Medical School165 Cambridge StSuite 400BostonMA 02114

目的建立冠状动脉CTA、血管内超声成像与光学频域成像(OFDI)对冠状动脉粥样硬化病变显示的离体实验模型,探讨它们对鉴别冠状动脉早期与进展期斑块的能力。材料与方法所有的实验步骤均符合地方及联邦法规与赫尔辛基宣言,并获得单位伦理... 详细信息

目的建立冠状动脉CTA、血管内超声成像与光学频域成像(OFDI)对冠状动脉粥样硬化病变显示的离体实验模型,探讨它们对鉴别冠状动脉早期与进展期斑块的能力。材料与方法所有的实验步骤均符合地方及联邦法规与赫尔辛基宣言,并获得单位伦理委员会的批准。实验取材于3个捐献心脏,共获得379个病理切片和9支冠状动脉血管,在不同检查间进行配准,对动脉粥样硬化斑块的存在和成分进行评估。对于不同检查方式在显示进展期斑块的能力,采用C统计分析方法。采用Cohenκ统计评价观察者间的一致性。结果冠状动脉CTA中正常的切面、OFDI中纤维化斑块,在病理学检查中几乎没有发现进展期病变(比值比分别为0.02和0.06;均P<0.0001)。冠状动脉CTA中发现的混合性斑块、血管内超声发现钙化斑块和OFDI发现的富脂质斑块,与进展期斑块存在明显的相关性(比值比2.49,P=0.0003;比值比2.60,P=0.002;比值比31.2,P<0.0001)。OFDI对于区分早期和进展期病变,较血管内超声和冠状动脉CTA具有更高的准确性(ROC曲线下面积分别为:0.858、0.631和0.679;P<0.0001)。OFDI和冠状动脉CTA的观察者间一致性很高(κ分别为0.87和0.85),血管内超声的一致性尚可(κ=0.66)。结论通过各种有创和无创的检查方式对离体样本的系统性和标准化比较,发现对于冠状动脉斑块特点的显示能力,冠状动脉CTA和血管内超声与斑块成分及组织学分级间具有较好的相关性,而OFDI则与后两者更为相关。本实验数据有助于确定进展期冠状动脉斑块病人的影像学检查策略。

关键词：血管内超声 CTA 冠状动脉粥样硬化 CT 进展期频域成像病变光学

Advances in tropical cyclone prediction on subseasonal time scales

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Tropical Cyclone Research and Review 2023年第2期12卷 136-150页

作者： Carl J.Schreck III Frederic Vitart Suzana J.Camargo Joanne Camp James Darlow Russell Elsberry Jon Gottschalck Paul Gregory Kurt Hansen Justyn Jackson Matthew A.Janiga Philip J.Klotzbach Chia-Ying Lee Lindsey Long Masuo nakano Kazuto Takemura Yuhei Takaya Michael J.Ventrice Zhuo Wang Cooperative Institute for Satellite Earth System Studies North Carolina State UniversityUSA European Centre for Medium-Range Weather Forecasts UK Lamont-Doherty Earth Observatory Columbia UniversityUSA Bureau of Meteorology Australia Joint Typhoon Warning Center USA Naval Postgraduate School USA Climate Prediction Center NOAAUSA hNational Research CouncilUSA U.S.Air Force USA Naval Research Laboratory USA Colorado State University USA ERT Inc.USA Japan Agency for Marine-Earth Science and Technology Japan Climate Prediction Division Japan Meteorological AgencyJapan Meteorological Research Institute Japan Meteorological AgencyJapan DRW Holdings USA University of Illinois at Urbana-Champaign USA

This review describes advances in understanding and forecasting tropical cyclone(TC)subseasonal variability during the past four years.A large effort by the scientiﬁc community has been in understanding the sources of predictability at subseasonal timescales beyond the well-known modulation of TC activity by the Madden-Julian Oscillation(MJO).In particular,the strong modulation of TC activity over the western North Paciﬁc by the Boreal Summer Intra-Seasonal Oscillation(BSISO)has been *** has also been realized in understanding the role of tropical-extratropical interactions in improving subseasonal *** addition,several recent publications have shown that extratropical wave breaking may have a role in the genesis and development of *** of multi-model ensemble data sets such as the Subseasonal to Seasonal(S2S)and Subseasonal Experiment(SubX)have shown that the skill of S2S models in predicting the genesis of TCs varies strongly among models and regions but is often tied to their ability to simulate the MJO and its *** skill in select models has led to an increase over the past four years in the number of forecasting centers issuing subseasonal TC forecasts using various techniques(statistical,statistical-dynamical and dynamical).More extensive veriﬁcation studies have been published over the last four years,but often only for the North Atlantic and eastern North Paciﬁc.

关键词： Tropical cyclones Subseasonal Forecasts Hurricanes MJO

亚洲东部森林的小气候特征：1.辐射和能量的平衡

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植物生态学报 2015年第6期39卷 541-553页

作者：谭正洪于贵瑞周国逸韩士杰夏禹九前田高尚小杉绿子山野井克己李胜功太田岳史平田竜一安田幸生中野隆志小南裕志北村兼三溝口康子廖志勇赵俊福杨廉雁中国科学院西双版纳热带植物园热带森林生态学重点实验室中国昆明650223 中国科学院地理科学与资源研究所中国北京100101 中国科学院华南植物园中国广州510650 中国科学院沈阳应用生态研究所中国沈阳110016 华大学环境学院中国台湾花莲97401 日本产业技术综合研究所环境管理技术研究部门日本筑波305-8569 京都大学农学研究科日本京都606-8501 日本森林综合研究所北海道支所日本札幌062-8516 名古屋大学生命农学研究科日本名古屋464-8601 日本国立环境研究所地球环境研究中心日本筑波305-8506 日本森林综合研究所东北支所日本岩手020-0123 日本森林综合研究所气象环境研究领域日本筑波305-8687 日本森林综合研究所关西支所日本京都612-0855 日本森林综合研究所九州支所日本熊本860-0862

森林小气候是森林植被与区域气候相互作用所形成的局地环境系统。森林小气候的研究,不仅是一项关于森林生态系统运行机理的理论研究工作,对农林业生产也具有现实的指导意义,在全球变化形势下其重要性又进一步凸显。辐射的收支、能量的... 详细信息

森林小气候是森林植被与区域气候相互作用所形成的局地环境系统。森林小气候的研究,不仅是一项关于森林生态系统运行机理的理论研究工作,对农林业生产也具有现实的指导意义,在全球变化形势下其重要性又进一步凸显。辐射的收支、能量的平衡与分配是小气候特征形成的基础。对森林辐射收支和能量分配的研究,过去主要以单站点为主,系统的区域分析十分匮乏。该文采用亚洲东部17个森林站点的实测数据,分析了生态系统的辐射收支和能量平衡,探讨了区域尺度上辐射特征量的纬度变异性及其预测关系式,建立了亚洲东部森林带典型森林生态系统的辐射和能量收支模式。所选站点以水平地带性为主,为区域分析奠定了基础。研究发现,辐射特征量具有明显的纬度依赖性,辐射特征量和纬度二者的关系可以用于相应的预测。比如,太阳辐射随着纬度的变化关系为:y=6205–42.15x(p<0.01),即纬度每上升1°,太阳辐射年总量下降42 MJ,理论最大值为6 205 MJ。净辐射的纬度趋势更加显著(r=–0.89,p<0.000 1),其线性回归关系为:y=4340–45.60x。亚洲东部森林蒸散比(EF)与降水量(P)之间的定量关系为:EF=0.7098(1–exp(–0.0026P))。通过对比不同森林带的辐射和能量模式,发现亚热带森林在辐射收支上与温带森林相近,波文比既高于温带森林,也高于热带森林,表明更多的净辐射能用于显热交换。关于亚热带森林在小气候和物质代谢方面的特殊性,值得进一步分析研究。

关键词：亚热带森林纬度地带性蒸散比太阳辐射能量分配

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Measurement of the integrated luminosity of the Phase 2 data of the Belle Ⅱ experiment

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Chinese Physics C 2020年第2期44卷 1-12页

作者： F.Abudinén I.Adachi P.Ahlburg H.Aihara N.Akopov A.Aloisio F.Ameli L.Andricek N.Anh Ky D.M.Asner H.Atmacan T.Aushev V.Aushev T.Aziz K.Azmi V.Babu S.Baehr S.Bahinipati A.M.Bakich P.Bambade Sw.Banerjee S.Bansal V.Bansal M.Barrett J.Baudot A.Beaulieu J.Becker P.K.Behera J.V.Bennett E.Bernieri F.U.Bernlochner M.Bertemes M.Bessner S.Bettarini V.Bhardwaj F.Bianchi T.Bilka S.Bilokin D.Biswas G.Bonvicini A.Bozek M.Bračko P.Branchini N.Braun T.E.Browder A.Budano S.Bussino M.Campajola L.Cao G.Casarosa C.Cecchi D.Červenkov M.-C.Chang P.Chang R.Cheaib V.Chekelian Y.Q.Chen Y.-T.Chen B.G.Cheon K.Chilikin H.-E.Cho K.Cho S.Cho S.-K.Choi S.Choudhury D.Cinabro L.Corona L.M.Cremaldi S.Cunliffe T.Czank F.Dattola E.De La Cruz-Burelo G.De Nardo M.De Nuccio G.De Pietro R.de Sangro M.Destefanis S.Dey A.De Yta-Hernandez F.Di Capua S.Di Carlo J.Dingfelder Z.Doležal I.Domínguez Jiménez T.V.Dong K.Dort S.Dubey S.Duell S.Eidelman M.Eliachevitch T.Ferber D.Ferlewicz G.Finocchiaro S.Fiore A.Fodor F.Forti A.Frey B.G.Fulsom M.Gabriel E.Ganiev M.Garcia-Hernandez R.Garg A.Garmash V.Gaur A.Gaz U.Gebauer A.Gellrich J.Gemmler T.Geßler R.Giordano A.Giri B.Gobbo R.Godang P.Goldenzweig B.Golob P.Gomis P.Grace W.Gradl E.Graziani D.Greenwald C.Hadjivasiliou S.Halder K.Hara T.Hara O.Hartbrich K.Hayasaka H.Hayashii C.Hearty M.T.Hedges I.Heredia de la Cruz M.Hernández Villanueva A.Hershenhorn T.Higuchi E.C.Hill H.Hirata M.Hoek S.Hollitt T.Hotta C.-L.Hsu Y.Hu K.Huang T.Iijima K.Inami G.Inguglia J.Irakkathil Jabbar A.Ishikawa R.Itoh M.Iwasaki Y.Iwasaki S.Iwata P.Jackson W.W.Jacobs D.E.Jaffe E.-J.Jang H.B.Jeon S.Jia Y.Jin C.Joo J.Kahn H.Kakuno A.B.Kaliyar G.Karyan Y.Kato T.Kawasaki H.Kichimi C.Kiesling B.H.Kim C.-H.Kim D.Y.Kim S.-H.Kim Y.K.Kim Y.Kim T.D.Kimmel K.Kinoshita C.Kleinwort B.Knysh P.Kodyš T.Koga I.Komarov T.Konno S.Korpar D.Kotchetkov N.Kovalchuk T.M.G.Kraetzschmar P.Križan R.Kroeger J.F.Krohn P.Krokovny W.Kuehn T.Kuhr M.Kumar R.Kumar K.Kumara S.Kurz A.Kuzmin Y.-J.Kwon S.Lacaprara Y.-T.Lai C.La Licata K.Lalwani L.Lanceri J.S.Lange K.Lautenbach I.-S.Le Beihang University Beijing 100191 Brookhaven National Laboratory UptonNew York 11973 Budker Institute of Nuclear Physics SB RAS Novosibirsk 630090 Centro de Investigacion y de Estudios Avanzados del Instituto Politecnico Nacional Mexico City 07360 Faculty of Mathematics and Physics Charles University12116 Prague Chiba University Chiba 263-8522 Consejo Nacional de Ciencia y Tecnología Mexico City 03940 Deutsches Elektronen–Synchrotron 22607 Hamburg Duke University DurhamNorth Carolina 27708 Earthquake Research Institute University of TokyoTokyo 113-0032 Forschungszentrum Jülich 52425 Jülich Department of Physics Fu Jen Catholic UniversityTaipei 24205 Key Laboratory of Nuclear Physics and Ion-beam Application(MOE)and Institute of Modern Physics Fudan UniversityShanghai 200443 II.Physikalisches Institut Georg-August-Universität Göttingen37073 Göttingen Gifu University Gifu 501-1193 The Graduate University for Advanced Studies(SOKENDAI) Hayama 240-0193 Gyeongsang National University Jinju 52828 Department of Physics and Institute of Natural Sciences Hanyang UniversitySeoul 04763 High Energy Accelerator Research Organization(KEK) Tsukuba 305-0801 J-PARC Branch KEK Theory CenterHigh Energy Accelerator Research Organization(KEK)Tsukuba 305-0801 Indian Institute of Science Education and Research Mohali SAS Nagar140306 Indian Institute of Technology Bhubaneswar Satya Nagar 751007 Indian Institute of Technology Hyderabad Telangana 502285 Indian Institute of Technology Madras Chennai 600036 Indiana University BloomingtonIndiana 47408 Institute for High Energy Physics Protvino 142281 Institute of High Energy Physics Vienna 1050 Institute of High Energy Physics Chinese Academy of SciencesBeijing 100049 Institute of Particle Physics(Canada) VictoriaBritish Columbia V8W 2Y2 Institute of Physics Hanoi Instituto de Fisica Corpuscular Paterna 46980 INFN Laboratori Nazionali di Frascati I-00044 Frascati INFN Sezione di Napoli I-80126 Napoli INFN Sezione di Padova I-35131 Padova INFN Sezione di Perugia I-06123 Perugia

From April to July 2018,a data sample at the peak energy of the T(4 S) resonance was collected with the Belle Ⅱ detector at the SuperKEKB electron-positron *** is the first data sample of the Belle Ⅱ *** Bhabha and digamma events,we measure the integrated luminosity of the data sample to be(496.3±0.3±3.0) pb-1,where the first uncertainty is statistical and the second is *** work provides a basis for future luminosity measurements at Belle Ⅱ.

关键词： luminosity Bhabha digamma Belle II

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