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Amplitude analysis of the decays D^(0)→π^(+)π^(−)π^(+)π^(−)and D^(0)→π^(+)π^(−)π^(0)π^(0)

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Chinese Physics C 2024年第8期48卷 6-33页

作者： M.Ablikim M.N.Achasov P.Adlarson O.Afedulidis X.C.Ai R.Aliberti A.Amoroso Q.An Y.Bai O.Bakina I.Balossino Y.Ban H.-R.Bao V.Batozskaya K.Begzsuren N.Berger M.Berlowski M.Bertani D.Bettoni F.Bianchi E.Bianco A.Bortone I.Boyko R.A.Briere A.Brueggemann H.Cai X.Cai A.Calcaterra G.F.Cao N.Cao S.A.Cetin j.F.Chang W.L.Chang G.R.Che G.Chelkov C.Chen C.H.Chen Chao Chen G.Chen H.S.Chen M.L.Chen S.j.Chen S.L.Chen S.M.Chen T.Chen X.R.Chen X.T.Chen Y.B.Chen Y.Q.Chen z.j.Chen z.Y.Chen S.K.Choi X.Chu G.Cibinetto F.Cossio j.j.Cui H.L.Dai j.P.Dai A.Dbeyssi R.E.de Boer D.Dedovich C.Q.Deng z.Y.Deng A.Denig I.Denysenko M.Destefanis F.De Mori B.Fang S.S.Fang W.X.Fang Y.Fang Y.Q.Fang R.Farinelli L.Fava F.Feldbauer G.Felici C.Q.Feng j.H.Feng Y.T.Feng K.Fischer M.Fritsch C.D.Fu j.L.Fu Y.W.Fu H.Gao Y.N.Gao Yang Gao S.Garbolino I.Garzia P.T.Ge z.W.Ge C.Geng E.M.Gersabeck B.Ding X.X.Ding Y.Ding Y.Ding j.Dong L.Y.Dong M.Y.Dong X.Dong M.C.Du S.X.Du z.H.Duan P.Egorov Y.H.Fan j.Fang jA.Gilman K.Goetzen L.Gong W.X.Gong W.Gradl S.Gramigna M.Greco M.H.Gu Y.T.Gu C.Y.Guan z.L.Guan A.Q.Guo L.B.Guo M.j.Guo R.P.Guo Y.P.Guo A.Guskov j.Gutierrez K.L.Han T.T.Han X.Q.Hao F.A.Harris K.K.He K.L.He F.H.Heinsius C.H.Heinz Y.K.Heng C.Herold T.Holtmann P.C.Hong G.Y.Hou X.T.Hou Y.R.Hou z.L.Hou B.Y.Hu H.M.Hu j.F.Hu T.Hu Y.Hu G.S.Huang K.X.Huang L.Q.Huang X.T.Huang Y.P.Huang T.Hussain F.H\"olzken N.H\"usken N.in der Wiesche M.Irshad j.jackson S.janchiv j.H.jeong Q.ji Q.P.ji W.ji X.B.ji X.L.ji Y.Y.ji X.Q.jia z.K.jia D.jiang H.B.jiang P.C.jiang S.S.jiang T.j.jiang X.S.jiang Y.jiang j.B.jiao j.K.jiao z.jiao S.jin Y.jin M.Q.jing X.M.jing T.johansson S.Kabana N.Kalantar-Nayestanaki X.L.Kang X.S.Kang M.Kavatsyuk B.C.Ke V.Khachatryan A.Khoukaz R.Kiuchi O.B.Kolcu B.Kopf M.Kuessner X.Kui A.Kupsc W.K\"uhn j.j.Lane P.Larin L.Lavezzi T.T.Lei z.H.Lei H.Leithoff M.Lellmann T.Lenz C.Li C.Li C.H.Li Cheng Li D.M.Li F.Li G.Li H.Li H.B.Li H.j.Li H.N.Li Hui Li j.R.Li j.S.Li K.Li L.j.Li L.K.Li Lei Li M.H.Li P.R.Li Q.M.Li Q.X.Li R.Li S.X.Li T.Li W.D.Li W.G.Li X.Li X.H.Li X.L.Li X.Y.Li Y Institute of High Energy Physics Chinese Academy of SciencesBeijing 100049China Beihang University Beijing 100191China Bochum Ruhr-University D-44780 BochumGermany Budker Institute of Nuclear Physics SB RAS(BINP) Novosibirsk 630090Russia Carnegie Mellon University PittsburghPennsylvania 15213USA Central China Normal University Wuhan 430079China Central South University Changsha 410083China China Center of Advanced Science and Technology Beijing 100190China China University of Geosciences Wuhan 430074China Chung-Ang University Seoul06974Republic of Korea COMSATS University Islamabad Lahore CampusDefence RoadOff Raiwind Road54000 LahorePakistan Fudan University Shanghai 200433China GSI Helmholtzcentre for Heavy Ion Research GmbH D-64291 DarmstadtGermany Guangxi Normal University Guilin 541004China Guangxi University Nanning 530004China Hangzhou Normal University Hangzhou 310036China Hebei University Baoding 071002China Helmholtz Institute Mainz Staudinger Weg 18D-55099 MainzGermany Henan Normal University Xinxiang 453007China Henan University Kaifeng 475004China 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 Inner Mongolia University Hohhot 010021China Institute of Modern Physics Lanzhou 730000China Institute of Physics and Technology Peace Avenue 54BUlaanbaatar 13330Mongolia Instituto de A

Using e^(+)e^(−)annihilation data corresponding to an integrated luminosity of 2.93 fb^(−1)taken at the center-of-mass energy√s=3.773 GeV with the BESIII detector,a joint amplitude analysis is performed on the decays D^(0)→π^(+)π^(−)π^(+)π^(−)and D^(0)→π^(+)π^(−)π^(0)π^(0)(non-η).The fit fractions of individual components are obtained,and large interferences among the dominant components of the decays D^(0)→a_(1)(1260)π,D^(0)→π(1300)π,D^(0)→ρ(770)ρ(770),and D^(0)→2(ππ)_(S)are observed in both *** the obtained amplitude model,the CP-even fractions of D^(0)→π^(+)π^(−)π^(+)π^(−)and D^(0)→π^(+)π^(−)π^(0)π^(0)(non-η)are determined to be(75.2±1.1_(stat).±1.5_(syst.))%and(68.9±1.5_(stat).±2.4_(syst.))%,*** branching fractions of D^(0)→π^(+)π^(−)π^(+)π^(−)and D^(0)→π^(+)π^(−)π^(0)π^(0)(non-η)are measured to be(0.688±0.010_(stat.)±0.010_(syst.))%and(0.951±0.025_(stat.)±0.021_(syst.))%,*** amplitude analysis provides an important model for the binning strategy in measuring the strong phase parameters of D^(0)→4πwhen used to determine the CKM angleγ(ϕ_(3))via the B^(−)→DK^(−)decay.

关键词： BESIII D^(0)meson decays amplitude analysis CP-even fraction

Characterization of bright betatron radiation generated by direct laser acceleration of electrons in plasma of near critical density

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Matter and Radiation at Extremes 2024年第2期9卷 26-35页

作者： j.Cikhardt M.Gyrdymov S.zähter P.Tavana M.M.Günther N.Bukharskii N.Borisenko j.jacoby X.F.Shen A.Pukhov N.E.Andreev O.N.Rosmej Faculty of Electrical Engineering Czech Technical University in Prague16627 Prague 6Czech Republic Goethe University FrankfurtMax-von-Laue-Straße 160438 Frankfurt am MainGermany GSI Helmholtzzentrum für Schwerionenforschung GmbH Planckstraße 164291 DarmstadtGermany Focused Energy GmbH Im Tiefen See 4564293 DarmstadtGermany National Research Nuclear University MEPhI Kashirskoe shosse 31115409 MoscowRussian Federation Lebedev Physical Institute RAS Leninskiy Prospekt 53119991 MoscowRussian Federation Heinrich-Heine-University Düsseldorf Universitätsstrasse 1DüsseldorfGermany joint Institute for High Temperatures RASIzhorskaya st.13Bldg.2125412 MoscowRussian Federation Moscow Institute of Physics and Technology Institutskiy Pereulok 9141700 DolgoprudnyRussia

Directed x-rays produced in the interaction of sub-picosecond laser pulses of moderate relativistic intensity with plasma of near-critical density are investigated. Synchrotron-like (betatron) radiation occurs in the process of direct laser acceleration (DLA) of electrons in a relativisticlaser channel when the electrons undergo transverse betatron oscillations in self-generated quasi-static electric and magnetic fields. In anexperiment at the PHELIX laser system, high-current directed beams of DLA electrons with a mean energy ten times higher than the ponderomotive potential and maximum energy up to 100 MeV were measured at 10^(19) W/cm^(2)laser intensity. The spectrum of directed x-raysin the range of 5–60 keV was evaluated using two sets of Ross filters placed at 0°and 10°to the laser pulse propagation axis. The differential x-ray absorption method allowed for absolute measurements of the angular-dependent photon fluence. We report 10^(13) photons/sr withenergies >5 keV measured at 0°to the laser axis and a brilliance of 10^(21) photons s^(−1) mm^(−2) mrad−2(0.1%BW)−1. The angular distributionof the emission has an FWHM of 14°–16°. Thanks to the ultra-high photon fluence, point-like radiation source, and ultra-short emissiontime, DLA-based keV backlighters are promising for various applications in high-energy-density research with kilojoule petawatt-class laserfacilities.

关键词： laser acceleration critical

Exploring a targeted approach for public health capacity restrictions during COVID-19 using a new computational model

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Infectious Disease Modelling 2024年第1期9卷 234-244页

作者： Ashley N.Micuda Mark R.Anderson Irina Babayan Erin Bolger Logan Cantin Gillian Groth Ry Pressman-Cyna Charlotte z.Reed Noah j.Rowe Mehdi Shafiee Benjamin Tam Marie C.Vidal Tianai Ye Ryan D.Martin Department of Physics Engineering Physics&AstronomyQueen's UniversityKingstonONCanada Department of Medical Biophysics Western UniversityLondonONCanada Department of Mathematics and Statistics Queen's UniversityKingstonONCanada Department of Biology Queen's UniversityKingstonONCanada Department of Electrical and Computer Engineering Nazarbayev UniversityNur-SultanKazakhstan Energetic Cosmos Laboratory Nazarbayev UniversityNur-SultanKazakhstan School of Computing Queen's UniversityKingstonONCanada Department of Biomedical and Molecular Sciences Queen's UniversityKingstonONCanada Department of Physics University of OxfordOxfordUnited Kingdom Department of Physics Stanford UniversityStanfordCAUnited States

This work introduces the Queen's University Agent-Based Outbreak Outcome Model(QUABOOM).This tool is an agent-based Monte Carlo simulation for modelling epidemics and informing public health *** illustrate the use of the model by examining capacity restrictions during a *** find that public health measures should focus on the few locations where many people interact,such as grocery stores,rather than the many locations where few people interact,such as small *** also discuss a case where the results of the simulation can be scaled to larger population sizes,thereby improving computational efficiency.

关键词： Monte-carlo Agent-based epidemic modelling COVID-19 Small business capacity restrictions Public health Basic reproductive number

Development,validation,and transportability of several machine-learned,non-exercise-based VO_(2max)prediction models for older adults

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journal of Sport and Health Science 2024年第5期13卷 611-620页

作者： Benjamin T.Schumacher Michael j.LaMonte Andrea z.LaCroix Eleanor M.Simonsick Steven P.Hooker Humberto Parada jr. john Bellettiere Arun Kumar Herbert Wertheim School of Public Health and Human Longevity Science University of California San DiegoLa JollaCA 92093USA Department of Epidemiology and Environmental Health School of Public Health and Health ProfessionsUniversity at BuffaloState University of New YorkBuffaloNY 14214USA Translational Gerontology Branch Intramural Research ProgramNational Institute on AgingNational Institutes of HealthBaltimoreMD 21225USA College of Health and Human Services San Diego State UniversitySan DiegoCA 92182USA Division of Epidemiology and Biostatistics School of Public HealthSan Diego State UniversitySan DiegoCA 92182USA University of California San Diego Moores Cancer Center La JollaCA 92093USA Computer Science and Engineering and Halicioglu Data Science Institute University of California San DiegoLa JollaCA 92093USA

Background:There exist few maximal oxygen uptake(VO_(2max))non-exercise-based prediction equations,fewer using machine learning(ML),and none specifically for older *** direct measurement of VO_(2max)is infeasible in large epidemiologic cohort studies,we sought to develop,validate,compare,and assess the transportability of several ML VO_(2max)prediction ***:The Baltimore Longitudinal Study of Aging(BLSA)participants with valid VO2_(max)tests were included(n=1080).Least absolute shrinkage and selection operator,linear-and tree-boosted extreme gradient boosting,random forest,and support vector machine(SVM)algorithms were trained to predict VO_(2max)*** developed these algorithms for:(a)the overall BLSA,(b)by sex,(c)using all BLSA variables,and(d)variables common in aging ***,we quantified the associations between measured and predicted VO_(2max)and ***:The age was 69.0±10.4 years(mean±SD)and the measured VO_(2max)was 21.6±5.9 mL/kg/*** absolute shrinkage and selection operator,linear-and tree-boosted extreme gradient boosting,random forest,and support vector machine yielded root mean squared errors of 3.4 mL/kg/min,3.6 mL/kg/min,3.4 mL/kg/min,3.6 mL/kg/min,and 3.5 mL/kg/min,*** quartiles of measured VO_(2max)showed an inverse gradient in mortality *** VO_(2max)variables yielded similar effect estimates but were not robust to ***:Measured VO_(2max)is a strong predictor of *** ML can improve the accuracy of prediction as compared to simpler approaches but estimates of association with mortality remain sensitive to *** studies should seek to reproduce these results so that VO_(2max),an important vital sign,can be more broadly studied as a modifiable target for promoting functional resiliency and healthy aging.

关键词： Cardiorespiratory fitness Prediction algorithms Epidemiology Mortality

Ground-based and additional science support for SMILE

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Earth and Planetary Physics 2024年第1期8卷 275-298页

作者： j.A.Carter M.Dunlop C.Forsyth K.Oksavik E.Donovon A.Kavanagh S.E.Milan T.Sergienko R.C.Fear D.G.Sibeck M.Connors T.Yeoman X.Tan M.G.G.T.Taylor K.McWilliams j.Gjerloev R.Barnes D.D.Billet G.Chisham A.Dimmock M.P.Freeman D.-S.Han M.D.Hartinger S.-Y.W.Hsieh z.-j.Hu M.K.james L.juusola K.Kauristie E.A.Kronberg M.Lester j.Manuel j.Matzka I.McCrea Y.Miyoshi j.Rae L.Ren F.Sigernes E.Spanswick K.Sterne A.Steuwer T.Sun M.-T.Walach B.Walsh C.Wang j.Weygand j.Wild j.Yan j.zhang Q.-H.zhang Planetary Sciences Group School of Physics and AstronomyUniversity of LeicesterUniversity RoadLeicesterLE17RHUK Rutherford Appleton Laboratory Space Science Technology Facilities CouncilOxfordshireUK School of Space and Environment Beihang UniversityBeijing 100191China Key Laboratory of Space Environment Monitoring and Information Processing Ministry of Industry and Information TechnologyBeijing 100017China Department of Space and Climate Physics UCLMullard Space Science LaboratoryHolmbury St.MaryDorkingSurreyRH56NTUK Birkeland Centre for Space Science Department of Physics and Technology.University of BergenBergenNorway Department of Physics and Astronomy University of Calgary2500 University DriveCalgaryAlbertaCanada T2N 1N4 British Antarctic Survey CambridgeUK Swedish Institute of Space Physics KirunaSweden West Highfield Campus University of SouthamptonUniversity RoadSO171BJUK Goddard Space Flight Center NASAGreenbeltMarylandUSA Athabasca University AthabascaCanada ESTEC European Space AgencyNetherlands University of Saskatchewan SaskatoonCanada The johns Hopkins University Applied Physics Laboratory LaurelMarylandUSA Swedish Institude of Space Physics UppsalaSE 75121Sweden Tongji University Shanghai 200092China Center for Space Plasma Physics Space Science Institute4765 Walnut Street Suite BBoulderColorado80301USA Polar Research Institute of China Shanghai 200136China Finnish Meteorological Institute(FMI) Finland Department of Earth and Environmental Sciences(Geophysics) Ludwig Maximilian University of Munich(LMU)MunichTheresienstr.41MunichD-80333Germany Canadian Space Agency MontrealCanada GFz German Research Centre for Geosciences PotsdamGermany Nagoya University Institute for Space Earth Environment ResearchCenter for Integrated Data ScienceNagoyaAichiJP 464-8601 Northumbria University Newcastle upon TyneTyne and WearUK NE18ST National Space Science Center Chinese Academy SciencesBeijing 100190China Arctic Geophysics University Centre in Svalbard

The joint European Space Agency and Chinese Academy of Sciences Solar wind Magnetosphere Ionosphere Link Explorer(SMILE)mission will explore global dynamics of the magnetosphere under varying solar wind and interplanetary magnetic field conditions,and simultaneously monitor the auroral response of the Northern Hemisphere *** these large-scale responses with medium and fine-scale measurements at a variety of cadences by additional ground-based and space-based instruments will enable a much greater scientific impact beyond the original goals of the SMILE ***,we describe current community efforts to prepare for SMILE,and the benefits and context various experiments that have explicitly expressed support for SMILE can offer.A dedicated group of international scientists representing many different experiment types and geographical locations,the Ground-based and Additional Science Working Group,is facilitating these *** include constructing an online SMILE Data Fusion Facility,the discussion of particular or special modes for experiments such as coherent and incoherent scatter radar,and the consideration of particular observing strategies and spacecraft *** anticipate growing interest and community engagement with the SMILE mission,and we welcome novel ideas and insights from the solar-terrestrial community.

关键词： magnetosphere ionosphere magnetosphere-ionosphere coupling ground-based experimentation SMILE conjunctions missions

临床-超声列线图预测急性缺血性脑卒中短期预后

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中国介入影像与治疗学 2024年第6期21卷 338-342页

作者：苏航周志刚李菁郑州大学第一附属医院超声科河南郑州450052 郑州大学第一附属医院放射科河南郑州450052 郑州大学第一附属医院神经介入科河南郑州450052

目的观察临床-超声列线图预测急性缺血性脑卒中(AIS)短期预后的价值。方法回顾性分析168例接受血管内介入治疗的AIS患者,根据治疗后3个月改良Rankin量表评分将其分为预后良好组(n=134)及预后不良组(n=34)。比较组间临床及超声资料,采用... 详细信息

目的观察临床-超声列线图预测急性缺血性脑卒中(AIS)短期预后的价值。方法回顾性分析168例接受血管内介入治疗的AIS患者,根据治疗后3个月改良Rankin量表评分将其分为预后良好组(n=134)及预后不良组(n=34)。比较组间临床及超声资料,采用最小绝对收缩和选择算子(LASSO)算法及Cox回归方程分析AIS短期预后的独立影响因素,以之分别构建临床、超声及临床-超声列线图模型;绘制受试者工作特征曲线,计算曲线下面积(AUC),评估各模型预测AIS短期预后的效能。结果发病至入院时间、美国国立卫生院卒中量表(NIHSS)评分、Alberta卒中项目早期CT评分(ASPECTS)、斑块时间-强度曲线强度均值(TIC-M)及峰值强度(TIC-P)和伽马拟合曲线的AUC均为AIS短期预后的独立影响因素(P均<0.05)。临床、超声及临床-超声列线图模型预测AIS短期预后的AUC分别为0.888、0.758及0.921,以临床-超声列线图模型的预测效能最高(P均<0.05)。结论临床-超声列线图可有效预测AIS短期预后。

关键词：脑卒中超声检查预后

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Determination of the number ofψ(3686)events taken at BESⅢ

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Chinese Physics C 2024年第9期48卷 8-20页

作者： M.Ablikim M.N.Achasov P.Adlarson O.Afedulidis X.C.Ai R.Aliberti A.Amoroso Q.An Y.Bai O.Bakina I.Balossino Y.Ban H.-R.Bao V.Batozskaya K.Begzsuren N.Berger M.Berlowski M.Bertani D.Bettoni F.Bianchi E.Bianco A.Bortone I.Boyko R.A.Briere A.Brueggemann H.Cai X.Cai A.Calcaterra G.F.Cao N.Cao S.A.Cetin j.F.Chang G.R.Che G.Chelkov C.Chen C.H.Chen Chao Chen G.Chen H.S.Chen H.Y.Chen M.L.Chen S.j.Chen S.L.Chen S.M.Chen T.Chen X.R.Chen X.T.Chen Y.B.Chen Y.Q.Chen z.j.Chen z.Y.Chen S.K.Choi G.Cibinetto F.Cossio j.j.Cui H.L.Dai j.P.Dai A.Dbeyssi R.E.de Boer D.Dedovich C.Q.Deng z.Y.Deng A.Denig I.Denysenko M.Destefanis F.De Mori B.Ding X.X.Ding Y.Ding Y.Ding j.Dong L.Y.Dong M.Y.Dong X.Dong M.C.Du S.X.Du Y.Y.Duan z.H.Duan P.Egorov Y.H.Fan j.Fang j.Fang S.S.Fang W.X.Fang Y.Fang Y.Q.Fang R.Farinelli L.Fava F.Feldbauer G.Felici C.Q.Feng j.H.Feng Y.T.Feng M.Fritsch C.D.Fu j.L.Fu Y.W.Fu H.Gao X.B.Gao Y.N.Gao Yang Gao S.Garbolino I.Garzia L.Ge P.T.Ge z.W.Ge C.Geng E.M.Gersabeck A.Gilman K.Goetzen L.Gong W.X.Gong W.Gradl S.Gramigna M.Greco M.H.Gu Y.T.Gu C.Y.Guan z.L.Guan A.Q.Guo L.B.Guo M.j.Guo R.P.Guo Y.P.Guo A.Guskov j.Gutierrez K.L.Han T.T.Han F.Hanisch X.Q.Hao F.A.Harris K.K.He K.L.He F.H.Heinsius C.H.Heinz Y.K.Heng C.Herold T.Holtmann P.C.Hong G.Y.Hou X.T.Hou Y.R.Hou z.L.Hou B.Y.Hu H.M.Hu j.F.Hu S.L.Hu T.Hu Y.Hu G.S.Huang K.X.Huang L.Q.Huang X.T.Huang Y.P.Huang T.Hussain F.Hölzken N.Hüsken N.in der Wiesche j.jackson S.janchiv j.H.jeong Q.ji Q.P.ji W.ji X.B.ji X.L.ji Y.Y.ji X.Q.jia z.K.jia D.jiang H.B.jiang P.C.jiang S.S.jiang T.j.jiang X.S.jiang Y.jiang j.B.jiao j.K.jiao z.jiao S.jin Y.jin M.Q.jing X.M.jing T.johansson S.Kabana N.Kalantar-Nayestanaki X.L.Kang X.S.Kang M.Kavatsyuk B.C.Ke V.Khachatryan A.Khoukaz R.Kiuchi O.B.Kolcu B.Kopf M.Kuessner X.Kui N.Kumar A.Kupsc W.Kühn j.j.Lane P.Larin L.Lavezzi T.T.Lei z.H.Lei M.Lellmann T.Lenz C.Li C.Li C.H.Li Cheng Li D.M.Li F.Li G.Li H.B.Li H.j.Li H.N.Li Hui Li j.R.Li j.S.Li Ke Li L.j.Li L.K.Li Lei Li M.H.Li P.R.Li Q.M.Li Q.X.Li R.Li S.X.Li T.Li W.D.Li W.G.Li X.Li X.H.Li X.L.Li X.z.Li Xi Institute of High Energy Physics Beijing 100049China Beihang University Beijing 100191China Bochum Ruhr-University D-44780BochumGermany Budker Institute of Nuclear Physics SB RAS(BINP) Novosibirsk 630090Russia Carnegie Mellon University PittsburghPennsylvania 15213USA Central China Normal University Wuhan 430079China Central South University Changsha 410083China China Center of Advanced Science and Technology Beijing 100190China China University of Geosciences Wuhan 430074China Chung-Ang University Seoul06974Republic of Korea COMSATS University Islamabad Lahore CampusDefence RoadOff Raiwind Road54000LahorePakistan Fudan University Shanghai 200433China GSI Helmholtzcentre for Heavy Ion Research GmbH D-64291DarmstadtGermany Guangxi Normal University Guilin 541004China Guangxi University Nanning 530004China Hangzhou Normal University Hangzhou 310036China Hebei University Baoding 071002China Helmholtz Institute Mainz Staudinger Weg 18D-55099MainzGermany Henan Normal University Xinxiang 453007China Henan University Kaifeng 475004China 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 (A)INFN Laboratori Nazionali di FrascatiI-00044FrascatiItaly(B)INFN Sezione di PerugiaI-06100PerugiaItaly(C)University of PerugiaI-06100PerugiaItaly INFN Sezione di Ferrara (A)INFN Sezione di FerraraI-44122FerraraItaly(B)University of FerraraI-44122FerraraItaly Inner Mongolia University Hohhot 010021China Institute of Modern Physics Lanzhou 730000China Institute of Physics and Technology Peace Avenue 54BUlaanbaatar 13330Mongolia Instituto de Alta Investigación Universidad de TarapacáCasilla 7DArica 1000000Chile jilin University Changchun 130012China joha

The number ofψ(3686)events collected by the BESⅢdetector during the 2021 run period is determined to be(2259.3±11.1)×10~6 by counting inclusiveψ(3686)hadronic *** uncertainty is systematic and the statistical uncertainty is ***,the numbers ofψ(3686)events collected during the 2009 and 2012run periods are updated to be(107.7±0.6)×10~6 and(345.4±2.6)×10~6,*** numbers are consistent with the previous measurements within one standard *** total number ofψ(3686)events in the three data samples is(2712.4±14.3)×10~6.

关键词： ψ(3686) inclusive process Hadronic events BESⅢdetector

中国内陆水体CO_(2)排放的主要特征及影响因素分析

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中国科学：地球科学 2024年第6期54卷 2065-2085页

作者：周婷王晓锋肖作林卿昭印李贤祥王继龙阙子亿山区生态系统碳循环与碳调控重庆市重点实验室重庆401331 重庆师范大学地理与旅游学院重庆401331 三峡库区地表生态过程重庆市野外科学观测研究站重庆405400 天津大学地球系统科学学院天津300072

内陆水体作为最活跃的生物地球化学循环场所,在全球碳循环及CO_(2)预算中具有重要作用.本研究通过整合中国境内河流、湖泊、水库CO_(2)通量(f CO_(2))的观测数据,探讨了中国内陆水体碳排放的时空格局、关键影响因素及区域贡献.结果表明... 详细信息

内陆水体作为最活跃的生物地球化学循环场所,在全球碳循环及CO_(2)预算中具有重要作用.本研究通过整合中国境内河流、湖泊、水库CO_(2)通量(f CO_(2))的观测数据,探讨了中国内陆水体碳排放的时空格局、关键影响因素及区域贡献.结果表明:中国河流、湖泊、水库fCO_(2)变异性极强,变化范围分别为-379.3~4947.6、-160.1~785.0及-74.0~1603.1mg CO_(2)m^(-2)h^(-1),中值分别为228.5、26.0和28.3mg CO_(2)m^(-2)h^(-1),河流远高于湖泊和水库;受气候条件的影响,河流与水库f CO_(2)表现为自南向北降低的趋势,珠江、长江流域最高,东北诸河最低;湖泊水体fCO_(2)表现为蒙新湖区和东北湖区略高,青藏湖区略低,东部、云贵湖区最低,湖区自然特征及人类活动导致湖泊水体初级生产的增强是造成湖区间差异的主要驱动因素;从季节模式看,河流f CO_(2)雨季高于旱季,而湖泊和水库f CO_(2)则是旱季高于雨季,温度、降水及水体初级生产等的季节分异是主要调控因素.从全国来看, pH变化是各类型内陆水体f CO_(2)分异的关键因素;同时,湖泊f CO_(2)与水体叶绿素含量及DO关系密切,而河流fCO_(2)则主要与有机碳及总氮显著相关,揭示了不同类型水体f CO_(2)的调控机制差异;河流、湖泊、水库的f CO_(2)均与水体大小有关,表现出一定的尺度效应,小型水体是排放热点;此外,大范围的城市化与农业活动增强了河流CO_(2)排放潜势,但可能减弱湖泊的排放,其对内陆水体碳排放的综合影响仍待进一步评估.基于外推法,估算中国内陆水体CO_(2)排放总量约为117.3Tg a^(-1),可能抵消我国陆地碳汇总量的4.6%~12.8%,在区域碳平衡中贡献不容小觑.

关键词：河流/湖泊/水库 CO_(2)排放通量时空特征驱动因素区域贡献

Analysis of the inflection points of height-diameter models

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Forest Ecosystems 2024年第4期11卷 414-422页

作者： Tzeng Yih Lam Mark j.Ducey Department of Forest Resources Management Faculty of ForestryThe University of British Columbia2045-2424 Main MallVancouverBCV6T 1Z4 Canada Department of Natural Resources and the Environment University of New Hampshire114 James HallDurhamNH 03824USA

The inflection point is an important feature of sigmoidal height-diameter(H-D)*** is often cited as one of the properties favoring sigmoidal model ***,there are very few studies analyzing the inflection points of H-D *** goals of this study were to theoretically and empirically examine the behaviors of inflection points of six common H-D models with a regional *** six models were the Wykoff(WYK),Schumacher(SCH),Curtis(CUR),HossfeldⅣ(HOS),von Bertalanffy-Richards(VBR),and Gompertz(GPz)*** models were first fitted in their base forms with tree species as random effects and were then expanded to include functional traits and spatial *** distributions of the estimated inflection points were similar between the two-parameter models WYK,SCH,and CUR,but were different between the threeparameter models HOS,VBR,and *** produced some of the largest inflection *** and VBR produced concave H-D curves without inflection points for 12.7%and 39.7%of the tree *** species or decreasing shade tolerance resulted in larger inflection *** trends in the estimated inflection points of HOS and VBR were entirely opposite across the ***,HOS could produce concave H-D curves for portions of the *** on the studied behaviors,the choice between two-parameter models may not *** recommend comparing seve ral three-parameter model forms for consistency in estimated inflection points before deciding on *** sigmoidal models to have inflection points does not necessarily mean that they will produce fitted curves with *** study highlights the need to integrate analysis of inflection points into modeling H-D relationships.

关键词： Concavity Forest inventory and analysis Generalized height-diameter models Growth functions Height-diameter functions Mixed-effects modeling Points of inflection Species-specific models