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Dense sampling of bird diversity increases power of comparative genomics (vol 587, pg 252, 2020)

NATURE 2021年第7856期592卷 E24-E24页

作者： Feng, Shaohong Stiller, Josefin Deng, Yuan Armstrong, Joel Fang, Qi Reeve, Andrew Hart Xie, Duo Chen, Guangji Guo, Chunxue Faircloth, Brant C. Petersen, Bent Wang, Zongji Zhou, Qi Diekhans, Mark Chen, Wanjun Andreu-Sanchez, Sergio Margaryan, Ashot Howard, Jason Travis Parent, Carole Pacheco, George Sinding, Mikkel-Holger S. Puetz, Lara Cavill, Emily Ribeiro, Angela M. Eckhart, Leopold Fjeldsa, Jon Hosner, Peter A. Brumfield, Robb T. Christidis, Les Bertelsen, Mads F. Sicheritz-Ponten, Thomas Tietze, Dieter Thomas Robertson, Bruce C. Song, Gang Borgia, Gerald Claramunt, Santiago Lovette, Irby J. Cowen, Saul J. Njoroge, Peter Dumbacher, John Philip Ryder, Oliver A. Fuchs, Jerome Bunce, Michael Burt, David W. Cracraft, Joel Meng, Guanliang Hackett, Shannon J. Ryan, Peter G. Jonsson, Knud Andreas Jamieson, Ian G. da Fonseca, Rute R. Braun, Edward L. Houde, Peter Mirarab, Siavash Suh, Alexander Hansson, Bengt Ponnikas, Suvi Sigeman, Hanna Stervander, Martin Frandsen, Paul B. van der Zwan, Henriette van der Sluis, Rencia Visser, Carina Balakrishnan, Christopher N. Clark, Andrew G. Fitzpatrick, John W. Bowman, Reed Chen, Nancy Cloutier, Alison Sackton, Timothy B. Edwards, Scott V. Foote, Dustin J. Shakya, Subir B. Sheldon, Frederick H. Vignal, Alain Soares, Andre E. R. Shapiro, Beth Gonzalez-Solis, Jacob Ferrer-Obiol, Joan Rozas, Julio Riutort, Marta Tigano, Anna Friesen, Vicki Dalen, Love Urrutia, Araxi O. Szekely, Tamas Liu, Yang Campana, Michael G. Corvelo, Andre Fleischer, Robert C. Rutherford, Kim M. Gemmell, Neil J. Dussex, Nicolas Mouritsen, Henrik Thiele, Nadine Delmore, Kira Liedvogel, Miriam Franke, Andre Hoeppner, Marc P. Krone, Oliver Fudickar, Adam M. Mila, Borja Ketterson, Ellen D. Fidler, Andrew Eric Friis, Guillermo Parody-Merino, Angela M. Battley, Phil F. Cox, Murray P. Lima, Nicholas Costa Barroso Prosdocimi, Francisco Parchman, Thomas Lee Schlinger, Barney A. Loiselle, Bette A. Blake, John G. Lim, Haw Chuan Day, Lainy B. Fuxjager, Matthew J. Baldwin, Maude W. Braun, Michael J. Wirthlin, Morgan Dikow, China National GeneBank BGI-Shenzhen Shenzhen China State Key Laboratory of Genetic Resources and Evolution Kunming Institute of Zoology Chinese Academy of Sciences Kunming China BGI-Shenzhen Shenzhen China Villum Centre for Biodiversity Genomics Section for Ecology and Evolution Department of Biology University of Copenhagen Copenhagen Denmark BGI Education Center University of Chinese Academy of Sciences Shenzhen China MOE Laboratory of Biosystems Homeostasis and Protection Life Sciences Institute Zhejiang University Hangzhou China Department of Neuroscience and Developmental Biology University of Vienna Vienna Austria Center for Excellence in Animal Evolution and Genetics Chinese Academy of Sciences Kunming China James D. Watson Institute of Genome Sciences Hangzhou China UC Santa Cruz Genomics Institute UC Santa Cruz Santa Cruz CA USA Natural History Museum of Denmark University of Copenhagen Copenhagen Denmark Center for Macroecology Evolution and Climate GLOBE Institute University of Copenhagen Copenhagen Denmark Department of Biological Sciences Louisiana State University Baton Rouge LA USA Museum of Natural Science Louisiana State University Baton Rouge LA USA Centre of Excellence for Omics-Driven Computational Biodiscovery (COMBio) Faculty of Applied Sciences AIMST University Kedah Malaysia Section for Evolutionary Genomics The GLOBE Institute Faculty of Health and Medical Sciences University of Copenhagen Copenhagen Denmark Institute of Molecular Biology National Academy of Sciences Yerevan Armenia University Museum Norwegian University of Science and Technology Trondheim Norway Center for Reproductive Medicine The 2nd Affiliated Hospital School of Medicine Zhejiang University Hangzhou China Novogene Durham NC USA Duke University Medical Center Durham NC USA The Rockefeller University New York NY USA Howard Hughes Medical Institute Chevy Chase MD USA Department of Dermatology Medical University of Vienna Vienna Austria

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Implementation Method CUSUM To Determine The Accident Prone Areas in Web Based

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Journal of Physics: Conference Series 2018年第1期1114卷

作者： Rozzi Kesuma Dinata Dahlan Abdullah H Hartono Cut Ita Erliana Berliana Kusuma Riasti Akbar Iskandar Ifit Novita Sari Nurmawati Ricardo Freedom Nanuru Lusi Dwi Putri Rosida Tiurma Manurung S. Sriadhi A A Saleh T Astari Muammar Khaddafi Department of Informatics Universitas Malikussaleh Aceh Indonesia Department of Computer Science STMIK IBBI Medan Indonesia Department of Industrial Engineering Universitas Malikussaleh Aceh Indonesia Department of Informatics Universitas Sebelas Maret Surakarta. Indonesia Department of Informatics STMIK AKBA Makassar Indonesia Departement of: Social Science Education Program Post Graduate Program Universitas Kanjuruhan Malang Malang Indonesia Faculty of industry Technique University of 45 Surabaya Indonesia Universitas Kristen Indonesia Maluku Ambon Indonesia Department of Civil Engineering Universitas Lancang Kuning Pekanbaru Indonesia Graduate Program in Scientific Psychology Universitas Kristen Maranatha Indonesia Department of Electrical Engineering Universitas Negeri Medan Indonesia Statistics Financial & Social Sciences Research Group Indonesia Department of Elementary School Teacher Education STKIP Citra Bangsa Aceh Utara Aceh Indonesia Department of Accounting Universitas Malikussaleh Aceh Indonesia

At the Unit Laka Lantas Polres Lhokseumawe determining accident-prone areas on roads in Lhokseumawe still using manual systems. Determination of accident-prone areas are less effective because the police Unit Laka Lantas Polres Lhokseumawe just using the data of the last year and had to repeatedly calculate manually accident-prone areas based on the number of human casualties. In this study the system implementation CUSUM method (Cummulative Summary) to determine the accident-prone areas designed using the web-based programming language PHP. In this system there are three processes to determine areas prone to accidents, the accident rate calculations based on the weighted severity, blacksite calculations using the Z-Score method for determining areas prone to accident blackspots and calculations using the CUSUM method to determine the critical points of an accident. The data used are secondary data obtained from the Police Unit Laka Lantas Polres Lhokseumawe years 2009-2013.

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Measurement of isolated photon-hadron correlations in sNN = 5.02 TeV pp and p-Pb collisions

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Physical Review C 2020年第4期102卷 044908-044908页

作者： S. Acharya D. Adamová A. Adler J. Adolfsson M. M. Aggarwal G. Aglieri Rinella M. Agnello N. Agrawal Z. Ahammed S. Ahmad S. U. Ahn Z. Akbar A. Akindinov M. Al-Turany S. N. Alam D. S. D. Albuquerque D. Aleksandrov B. Alessandro H. M. Alfanda R. Alfaro Molina B. Ali Y. Ali A. Alici N. Alizadehvandchali A. Alkin J. Alme T. Alt L. Altenkamper I. Altsybeev M. N. Anaam C. Andrei D. Andreou A. Andronic M. Angeletti V. Anguelov C. Anson T. Antičić F. Antinori P. Antonioli N. Apadula L. Aphecetche H. Appelshäuser S. Arcelli R. Arnaldi M. Arratia I. C. Arsene M. Arslandok A. Augustinus R. Averbeck S. Aziz M. D. Azmi A. Badalà Y. W. Baek S. Bagnasco X. Bai R. Bailhache R. Bala A. Balbino A. Baldisseri M. Ball S. Balouza D. Banerjee R. Barbera L. Barioglio G. G. Barnaföldi L. S. Barnby V. Barret P. Bartalini C. Bartels K. Barth E. Bartsch F. Baruffaldi N. Bastid S. Basu G. Batigne B. Batyunya D. Bauri J. L. Bazo Alba I. G. Bearden C. Beattie C. Bedda N. K. Behera I. Belikov A. D. C. Bell Hechavarria F. Bellini R. Bellwied V. Belyaev G. Bencedi S. Beole A. Bercuci Y. Berdnikov D. Berenyi R. A. Bertens D. Berzano M. G. Besoiu L. Betev A. Bhasin I. R. Bhat M. A. Bhat H. Bhatt B. Bhattacharjee A. Bianchi L. Bianchi N. Bianchi J. Bielčík J. Bielčíková A. Bilandzic G. Biro R. Biswas S. Biswas J. T. Blair D. Blau C. Blume G. Boca F. Bock A. Bogdanov S. Boi J. Bok L. Boldizsár A. Bolozdynya M. Bombara G. Bonomi H. Borel A. Borissov H. Bossi E. Botta L. Bratrud P. Braun-Munzinger M. Bregant M. Broz E. Bruna G. E. Bruno M. D. Buckland D. Budnikov H. Buesching S. Bufalino O. Bugnon P. Buhler P. Buncic Z. Buthelezi J. B. Butt S. A. Bysiak D. Caffarri A. Caliva E. Calvo Villar J. M. M. Camacho R. S. Camacho P. Camerini F. D. M. Canedo A. A. Capon F. Carnesecchi R. Caron J. Castillo Castellanos A. J. Castro E. A. R. Casula F. Catalano C. Ceballos Sanchez P. Chakraborty S. Chandra W. Chang S. Chapeland M. Chartier S. Chattopadhyay A. Chauvin C. Cheshkov B. Cheynis V. Chibante Barroso D. D. Chinellato S. Cho P. Chochula T. Chowdhury P. Chris Variable Energy Cyclotron Centre Homi Bhabha National Institute Kolkata India Nuclear Physics Institute of the Czech Academy of Sciences Řež u Prahy Czech Republic Johann-Wolfgang-Goethe Universität Frankfurt Institut für Informatik Fachbereich Informatik und Mathematik Frankfurt Germany Lund University Department of Physics Division of Particle Physics Lund Sweden Physics Department Panjab University Chandigarh India European Organization for Nuclear Research (CERN) Geneva Switzerland Dipartimento DISAT del Politecnico and Sezione INFN Turin Italy Centro Fermi-Museo Storico della Fisica e Centro Studi e Ricerche “Enrico Fermi ” Rome Italy INFN Sezione di Bologna Bologna Italy Department of Physics Aligarh Muslim University Aligarh India Korea Institute of Science and Technology Information Daejeon Republic of Korea Indonesian Institute of Sciences Jakarta Indonesia NRC Kurchatov Institute-ITEP Moscow Russia Research Division and ExtreMe Matter Institute EMMI GSI Helmholtzzentrum für Schwerionenforschung GmbH Darmstadt Germany Fudan University Shanghai China Universidade Estadual de Campinas (UNICAMP) Campinas Brazil National Research Centre Kurchatov Institute Moscow Russia INFN Sezione di Torino Turin Italy Central China Normal University Wuhan China Instituto de Física Universidad Nacional Autónoma de México Mexico City Mexico COMSATS University Islamabad Islamabad Pakistan Dipartimento di Fisica e Astronomia dell'Università and Sezione INFN Bologna Italy University of Houston Houston Texas United States Bogolyubov Institute for Theoretical Physics National Academy of Sciences of Ukraine Kiev Ukraine Department of Physics and Technology University of Bergen Bergen Norway Institut für Kernphysik Johann Wolfgang Goethe-Universität Frankfurt Frankfurt Germany St. Petersburg State University St. Petersburg Russia Horia Hulubei National Institute of Physics and Nuclear Engineering Bucharest Romania Westfälische Wilhelms-Universität Münster Institu

This paper presents isolated photon-hadron correlations using pp and p-Pb data collected by the ALICE detector at the LHC. For photons with |η|<0.67 and 12<pT<40 GeV/c, the associated yield of charged partic... 详细信息

This paper presents isolated photon-hadron correlations using pp and p-Pb data collected by the ALICE detector at the LHC. For photons with |η|<0.67 and 12data sets within uncertainties. This measurement constrains nuclear effects on the parton fragmentation in p-Pb collisions, and provides a benchmark for future studies of Pb-Pb collisions.

关键词： Lepton induced nuclear reactions Particle correlations & fluctuations Relativistic heavy-ion collisions

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Elliptic and triangular flow of (anti)deuterons in Pb-Pb collisions at sNN=5.02 TeV

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Physical Review C 2020年第5期102卷 055203-055203页

作者： S. Acharya D. Adamová A. Adler J. Adolfsson M. M. Aggarwal G. Aglieri Rinella M. Agnello N. Agrawal Z. Ahammed S. Ahmad S. U. Ahn Z. Akbar A. Akindinov M. Al-Turany S. N. Alam D. S. D. Albuquerque D. Aleksandrov B. Alessandro H. M. Alfanda R. Alfaro Molina B. Ali Y. Ali A. Alici N. Alizadehvandchali A. Alkin J. Alme T. Alt L. Altenkamper I. Altsybeev M. N. Anaam C. Andrei D. Andreou A. Andronic M. Angeletti V. Anguelov C. Anson T. Antičić F. Antinori P. Antonioli N. Apadula L. Aphecetche H. Appelshäuser S. Arcelli R. Arnaldi M. Arratia I. C. Arsene M. Arslandok A. Augustinus R. Averbeck S. Aziz M. D. Azmi A. Badalà Y. W. Baek S. Bagnasco X. Bai R. Bailhache R. Bala A. Balbino A. Baldisseri M. Ball S. Balouza D. Banerjee R. Barbera L. Barioglio G. G. Barnaföldi L. S. Barnby V. Barret P. Bartalini C. Bartels K. Barth E. Bartsch F. Baruffaldi N. Bastid S. Basu G. Batigne B. Batyunya D. Bauri J. L. Bazo Alba I. G. Bearden C. Beattie C. Bedda I. Belikov A. D. C. Bell Hechavarria F. Bellini R. Bellwied V. Belyaev G. Bencedi S. Beole A. Bercuci Y. Berdnikov D. Berenyi R. A. Bertens D. Berzano M. G. Besoiu L. Betev A. Bhasin I. R. Bhat M. A. Bhat H. Bhatt B. Bhattacharjee A. Bianchi L. Bianchi N. Bianchi J. Bielčík J. Bielčíková A. Bilandzic G. Biro R. Biswas S. Biswas J. T. Blair D. Blau C. Blume G. Boca F. Bock A. Bogdanov S. Boi J. Bok L. Boldizsár A. Bolozdynya M. Bombara G. Bonomi H. Borel A. Borissov H. Bossi E. Botta L. Bratrud P. Braun-Munzinger M. Bregant M. Broz E. Bruna G. E. Bruno M. D. Buckland D. Budnikov H. Buesching S. Bufalino O. Bugnon P. Buhler P. Buncic Z. Buthelezi J. B. Butt S. A. Bysiak D. Caffarri A. Caliva E. Calvo Villar J. M. M. Camacho R. S. Camacho P. Camerini F. D. M. Canedo A. A. Capon F. Carnesecchi R. Caron J. Castillo Castellanos A. J. Castro E. A. R. Casula F. Catalano C. Ceballos Sanchez P. Chakraborty S. Chandra W. Chang S. Chapeland M. Chartier S. Chattopadhyay A. Chauvin C. Cheshkov B. Cheynis V. Chibante Barroso D. D. Chinellato S. Cho P. Chochula T. Chowdhury P. Christakoglou C. H Variable Energy Cyclotron Centre Homi Bhabha National Institute Kolkata India Nuclear Physics Institute of the Czech Academy of Sciences Řež u Prahy Czech Republic Johann-Wolfgang-Goethe Universität Frankfurt Institut für Informatik Fachbereich Informatik und Mathematik Frankfurt Germany Lund University Department of Physics Division of Particle Physics Lund Sweden Physics Department Panjab University Chandigarh India European Organization for Nuclear Research (CERN) Geneva Switzerland Dipartimento DISAT del Politecnico and Sezione INFN Turin Italy Centro Fermi - Museo Storico della Fisica e Centro Studi e Ricerche “Enrico Fermi' Rome Italy INFN Sezione di Bologna Bologna Italy Department of Physics Aligarh Muslim University Aligarh India Korea Institute of Science and Technology Information Daejeon Republic of Korea Indonesian Institute of Sciences Jakarta Indonesia NRC «Kurchatov» Institute - ITEP Moscow Russia Research Division and ExtreMe Matter Institute EMMI GSI Helmholtzzentrum für Schwerionenforschung GmbH Darmstadt Germany Fudan University Shanghai China Universidade Estadual de Campinas (UNICAMP) Campinas Brazil National Research Centre Kurchatov Institute Moscow Russia INFN Sezione di Torino Turin Italy Central China Normal University Wuhan China Instituto de Física Universidad Nacional Autónoma de México Mexico City Mexico COMSATS University Islamabad Islamabad Pakistan Dipartimento di Fisica e Astronomia dell'Università and Sezione INFN Bologna Italy University of Houston Houston Texas United States Bogolyubov Institute for Theoretical Physics National Academy of Sciences of Ukraine Kiev Ukraine Department of Physics and Technology University of Bergen Bergen Norway Institut für Kernphysik Johann Wolfgang Goethe-Universität Frankfurt Frankfurt Germany St. Petersburg State University St. Petersburg Russia Horia Hulubei National Institute of Physics and Nuclear Engineering Bucharest Romania Westfälische Wilhelms-Universität Münster I

The measurements of the (anti)deuteron elliptic flow (v2) and the first measurements of triangular flow (v3) in Pb-Pb collisions at a center-of-mass energy per nucleon-nucleon collision sNN = 5.02 TeV are presented. A mass ordering at low transverse momentum (pT) is observed when comparing these measurements with those of other identified hadrons, as expected from relativistic hydrodynamics. The measured (anti)deuteron v2 lies between the predictions from the simple coalescence and blast-wave models, which provide a good description of the data only for more peripheral and for more central collisions, respectively. The mass number scaling, which is violated for v2, is approximately valid for the (anti)deuterons v3. The measured v2 and v3 are also compared with the predictions from a coalescence approach with phase-space distributions of nucleons generated by iebe-vishnu with ampt initial conditions coupled with urqmd, and from a dynamical model based on relativistic hydrodynamics coupled to the hadronic afterburner smash. The model predictions are consistent with the data within the uncertainties in midcentral collisions, while a deviation is observed in the most central collisions.

关键词： Collective flow Photon, lepton & quark production Relativistic heavy-ion collisions

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Dielectron production in proton-proton and proton-lead collisions at sNN=5.02TeV

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Physical Review C 2020年第5期102卷 055204-055204页

作者： S. Acharya D. Adamová A. Adler J. Adolfsson M. M. Aggarwal G. Aglieri Rinella M. Agnello N. Agrawal Z. Ahammed S. Ahmad S. U. Ahn Z. Akbar A. Akindinov M. Al-Turany S. N. Alam D. S. D. Albuquerque D. Aleksandrov B. Alessandro H. M. Alfanda R. Alfaro Molina B. Ali Y. Ali A. Alici N. Alizadehvandchali A. Alkin J. Alme T. Alt L. Altenkamper I. Altsybeev M. N. Anaam C. Andrei D. Andreou A. Andronic M. Angeletti V. Anguelov C. Anson T. Antičić F. Antinori P. Antonioli N. Apadula L. Aphecetche H. Appelshäuser S. Arcelli R. Arnaldi M. Arratia I. C. Arsene M. Arslandok A. Augustinus R. Averbeck S. Aziz M. D. Azmi A. Badalà Y. W. Baek S. Bagnasco X. Bai R. Bailhache R. Bala A. Balbino A. Baldisseri M. Ball S. Balouza D. Banerjee R. Barbera L. Barioglio G. G. Barnaföldi L. S. Barnby V. Barret P. Bartalini C. Bartels K. Barth E. Bartsch F. Baruffaldi N. Bastid S. Basu G. Batigne B. Batyunya D. Bauri J. L. Bazo Alba I. G. Bearden C. Beattie C. Bedda N. K. Behera I. Belikov A. D. C. Bell Hechavarria F. Bellini R. Bellwied V. Belyaev G. Bencedi S. Beole A. Bercuci Y. Berdnikov D. Berenyi R. A. Bertens D. Berzano M. G. Besoiu L. Betev A. Bhasin I. R. Bhat M. A. Bhat H. Bhatt B. Bhattacharjee A. Bianchi L. Bianchi N. Bianchi J. Bielčík J. Bielčíková A. Bilandzic G. Biro R. Biswas S. Biswas J. T. Blair D. Blau C. Blume G. Boca F. Bock A. Bogdanov S. Boi J. Bok L. Boldizsár A. Bolozdynya M. Bombara G. Bonomi H. Borel A. Borissov H. Bossi E. Botta L. Bratrud P. Braun-Munzinger M. Bregant M. Broz E. Bruna G. E. Bruno M. D. Buckland D. Budnikov H. Buesching S. Bufalino O. Bugnon P. Buhler P. Buncic Z. Buthelezi J. B. Butt S. A. Bysiak D. Caffarri A. Caliva E. Calvo Villar J. M. M. Camacho R. S. Camacho P. Camerini F. D. M. Canedo A. A. Capon F. Carnesecchi R. Caron J. Castillo Castellanos A. J. Castro E. A. R. Casula F. Catalano C. Ceballos Sanchez P. Chakraborty S. Chandra W. Chang S. Chapeland M. Chartier S. Chattopadhyay A. Chauvin C. Cheshkov B. Cheynis V. Chibante Barroso D. D. Chinellato S. Cho P. Chochula T. Chowdhury P. Chris Variable Energy Cyclotron Centre Homi Bhabha National Institute Kolkata India Nuclear Physics Institute of the Czech Academy of Sciences Řež u Prahy Czech Republic Johann-Wolfgang-Goethe Universität Frankfurt Institut für Informatik Fachbereich Informatik und Mathematik Frankfurt Germany Lund University Department of Physics Division of Particle Physics Lund Sweden Physics Department Panjab University Chandigarh India European Organization for Nuclear Research (CERN) Geneva Switzerland Dipartimento DISAT del Politecnico and Sezione INFN Turin Italy Centro Fermi - Museo Storico della Fisica e Centro Studi e Ricerche “Enrico Fermi' Rome Italy INFN Sezione di Bologna Bologna Italy Department of Physics Aligarh Muslim University Aligarh India Korea Institute of Science and Technology Information Daejeon Republic of Korea Indonesian Institute of Sciences Jakarta Indonesia NRC «Kurchatov»Institute - ITEP Moscow Russia Research Division and ExtreMe Matter Institute EMMI GSI Helmholtzzentrum für Schwerionenforschung GmbH Darmstadt Germany Fudan University Shanghai China Universidade Estadual de Campinas (UNICAMP) Campinas Brazil National Research Centre Kurchatov Institute Moscow Russia INFN Sezione di Torino Turin Italy Central China Normal University Wuhan China Instituto de Física Universidad Nacional Autónoma de México Mexico City Mexico COMSATS University Islamabad Islamabad Pakistan Dipartimento di Fisica e Astronomia dell'Università and Sezione INFN Bologna Italy University of Houston Houston Texas USA Bogolyubov Institute for Theoretical Physics National Academy of Sciences of Ukraine Kiev Ukraine Department of Physics and Technology University of Bergen Bergen Norway Institut für Kernphysik Johann Wolfgang Goethe-Universität Frankfurt Frankfurt Germany St. Petersburg State University St. Petersburg Russia Horia Hulubei National Institute of Physics and Nuclear Engineering Bucharest Romania Westfälische Wilhelms-Universität Münster Institut für

The first measurements of dielectron production at midrapidity (ηe<0.8) in proton–proton and proton–lead collisions at sNN=5.02TeV at the LHC are presented. The dielectron cross section is measured with the ALICE detector as a function of the invariant mass mee and the pair transverse momentum pT,ee in the ranges mee<3.5 GeV/c2 and pT,ee<8 GeV/c, in both collision systems. In proton–proton collisions, the charm and beauty cross sections are determined at midrapidity from a fit to the data with two different event generators. This complements the existing dielectron measurements performed at s=7 and 13 TeV. The slope of the s dependence of the three measurements is described by FONLL calculations. The dielectron cross section measured in proton–lead collisions is in agreement, within the current precision, with the expected dielectron production without any nuclear matter effects for e+e− pairs from open heavy-flavor hadron decays. For the first time at LHC energies, the dielectron production in proton–lead and proton–proton collisions are directly compared at the same sNN via the dielectron nuclear modification factor RpPb. The measurements are compared to model calculations including cold nuclear matter effects, or additional sources of dielectrons from thermal radiation.

关键词： Photon, lepton & quark production Hadron colliders High-energy accelerators & colliders

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First Observation of an Attractive Interaction between a Proton and a Cascade Baryon

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Physical Review Letters 2019年第11期123卷 112002-112002页

作者： S. Acharya D. Adamová S. P. Adhya A. Adler J. Adolfsson M. M. Aggarwal G. Aglieri Rinella M. Agnello N. Agrawal Z. Ahammed S. Ahmad S. U. Ahn S. Aiola A. Akindinov M. Al-Turany S. N. Alam D. S. D. Albuquerque D. Aleksandrov B. Alessandro H. M. Alfanda R. Alfaro Molina B. Ali Y. Ali A. Alici A. Alkin J. Alme T. Alt L. Altenkamper I. Altsybeev M. N. Anaam C. Andrei D. Andreou H. A. Andrews A. Andronic M. Angeletti V. Anguelov C. Anson T. Antičić F. Antinori P. Antonioli R. Anwar N. Apadula L. Aphecetche H. Appelshäuser S. Arcelli R. Arnaldi M. Arratia I. C. Arsene M. Arslandok A. Augustinus R. Averbeck S. Aziz M. D. Azmi A. Badalà Y. W. Baek S. Bagnasco R. Bailhache R. Bala A. Baldisseri M. Ball R. C. Baral R. Barbera L. Barioglio G. G. Barnaföldi L. S. Barnby V. Barret P. Bartalini K. Barth E. Bartsch F. Baruffaldi N. Bastid S. Basu G. Batigne B. Batyunya P. C. Batzing D. Bauri J. L. Bazo Alba I. G. Bearden C. Bedda N. K. Behera I. Belikov F. Bellini R. Bellwied V. Belyaev G. Bencedi S. Beole A. Bercuci Y. Berdnikov D. Berenyi R. A. Bertens D. Berzano L. Betev A. Bhasin I. R. Bhat H. Bhatt B. Bhattacharjee A. Bianchi L. Bianchi N. Bianchi J. Bielčík J. Bielčíková A. Bilandzic G. Biro R. Biswas S. Biswas J. T. Blair D. Blau C. Blume G. Boca F. Bock A. Bogdanov L. Boldizsár A. Bolozdynya M. Bombara G. Bonomi M. Bonora H. Borel A. Borissov M. Borri H. Bossi E. Botta C. Bourjau L. Bratrud P. Braun-Munzinger M. Bregant T. A. Broker M. Broz E. J. Brucken E. Bruna G. E. Bruno M. D. Buckland D. Budnikov H. Buesching S. Bufalino O. Bugnon P. Buhler P. Buncic O. Busch Z. Buthelezi J. B. Butt J. T. Buxton D. Caffarri A. Caliva E. Calvo Villar R. S. Camacho P. Camerini A. A. Capon F. Carnesecchi J. Castillo Castellanos A. J. Castro E. A. R. Casula F. Catalano C. Ceballos Sanchez P. Chakraborty S. Chandra B. Chang W. Chang S. Chapeland M. Chartier S. Chattopadhyay A. Chauvin C. Cheshkov B. Cheynis V. Chibante Barroso D. D. Chinellato S. Cho P. Chochula T. Chowdhury P. Christakoglou C. H. Christensen P. Christiansen T. Chujo C. Variable Energy Cyclotron Centre Homi Bhabha National Institute Nuclear Physics Institute of the Czech Academy of Sciences Johann-Wolfgang-Goethe Universität Frankfurt Institut für Informatik Fachbereich Informatik und Mathematik Lund University Department of Physics Division of Particle Physics Physics Department Panjab University European Organization for Nuclear Research (CERN) Dipartimento DISAT del Politecnico and Sezione INFN Centro Fermi—Museo Storico della Fisica e Centro Studi e Ricerche “Enrico Fermi’ Department of Physics Aligarh Muslim University Korea Institute of Science and Technology Information Yale University Institute for Theoretical and Experimental Physics Research Division and ExtreMe Matter Institute EMMI GSI Helmholtzzentrum für Schwerionenforschung GmbH Universidade Estadual de Campinas (UNICAMP) National Research Centre Kurchatov Institute INFN Sezione di Torino Central China Normal University Instituto de Física Universidad Nacional Autónoma de México COMSATS University Islamabad INFN Sezione di Bologna Dipartimento di Fisica e Astronomia dell’Università Sezione INFN Bogolyubov Institute for Theoretical Physics National Academy of Sciences of Ukraine Department of Physics and Technology University of Bergen Institut für Kernphysik Johann Wolfgang Goethe-Universität Frankfurt St. Petersburg State University Horia Hulubei National Institute of Physics and Nuclear Engineering School of Physics and Astronomy University of Birmingham Westfälische Wilhelms-Universität Münster Institut für Kernphysik Physikalisches Institut Ruprecht-Karls-Universität Heidelberg Creighton University Rudjer Bošković Institute INFN Sezione di Padova University of Houston Lawrence Berkeley National Laboratory SUBATECH IMT Atlantique Université de Nantes CNRS-IN2P3 Department of Physics University of Oslo Institut de Physique Nucléaire d’Orsay (IPNO) Institut National de Physique Nucléaire et de Physique des Particules (IN2P3/CNRS) Université de Paris-Sud Université Paris-Saclay INFN Sezione

This Letter presents the first experimental observation of the attractive strong interaction between a proton and a multistrange baryon (hyperon) Ξ−. The result is extracted from two-particle correlations of combined p−Ξ−⊕p¯−Ξ¯+ pairs measured in p−Pb collisions at sNN=5.02 TeV at the LHC with ALICE. The measured correlation function is compared with the prediction obtained assuming only an attractive Coulomb interaction and a standard deviation in the range [3.6, 5.3] is found. Since the measured p−Ξ−⊕p¯−Ξ¯+ correlation is significantly enhanced with respect to the Coulomb prediction, the presence of an additional, strong, attractive interaction is evident. The data are compatible with recent lattice calculations by the HAL-QCD Collaboration, with a standard deviation in the range [1.8, 3.7]. The lattice potential predicts a shallow repulsive Ξ− interaction within pure neutron matter and this implies stiffer equations of state for neutron-rich matter including hyperons. Implications of the strong interaction for the modeling of neutron stars are discussed.

关键词： Particle interactions

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Publisher Correction: Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes

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Nature genetics 2019年第7期51卷 1192-1193页

作者： Rainer Malik Ganesh Chauhan Matthew Traylor Muralidharan Sargurupremraj Yukinori Okada Aniket Mishra Loes Rutten-Jacobs Anne-Katrin Giese Sander W van der Laan Solveig Gretarsdottir Christopher D Anderson Michael Chong Hieab H H Adams Tetsuro Ago Peter Almgren Philippe Amouyel Hakan Ay Traci M Bartz Oscar R Benavente Steve Bevan Giorgio B Boncoraglio Robert D Brown Adam S Butterworth Caty Carrera Cara L Carty Daniel I Chasman Wei-Min Chen John W Cole Adolfo Correa Ioana Cotlarciuc Carlos Cruchaga John Danesh Paul I W de Bakker Anita L DeStefano Marcel den Hoed Qing Duan Stefan T Engelter Guido J Falcone Rebecca F Gottesman Raji P Grewal Vilmundur Gudnason Stefan Gustafsson Jeffrey Haessler Tamara B Harris Ahamad Hassan Aki S Havulinna Susan R Heckbert Elizabeth G Holliday George Howard Fang-Chi Hsu Hyacinth I Hyacinth M Arfan Ikram Erik Ingelsson Marguerite R Irvin Xueqiu Jian Jordi Jiménez-Conde Julie A Johnson J Wouter Jukema Masahiro Kanai Keith L Keene Brett M Kissela Dawn O Kleindorfer Charles Kooperberg Michiaki Kubo Leslie A Lange Carl D Langefeld Claudia Langenberg Lenore J Launer Jin-Moo Lee Robin Lemmens Didier Leys Cathryn M Lewis Wei-Yu Lin Arne G Lindgren Erik Lorentzen Patrik K Magnusson Jane Maguire Ani Manichaikul Patrick F McArdle James F Meschia Braxton D Mitchell Thomas H Mosley Michael A Nalls Toshiharu Ninomiya Martin J O'Donnell Bruce M Psaty Sara L Pulit Kristiina Rannikmäe Alexander P Reiner Kathryn M Rexrode Kenneth Rice Stephen S Rich Paul M Ridker Natalia S Rost Peter M Rothwell Jerome I Rotter Tatjana Rundek Ralph L Sacco Saori Sakaue Michele M Sale Veikko Salomaa Bishwa R Sapkota Reinhold Schmidt Carsten O Schmidt Ulf Schminke Pankaj Sharma Agnieszka Slowik Cathie L M Sudlow Christian Tanislav Turgut Tatlisumak Kent D Taylor Vincent N S Thijs Gudmar Thorleifsson Unnur Thorsteinsdottir Steffen Tiedt Stella Trompet Christophe Tzourio Cornelia M van Duijn Matthew Walters Nicholas J Wareham Sylvia Wassertheil-Smoller James G Wilson Kerri L Wiggins Qiong Yang Salim Yusuf Joshua C Bis Tomi Institute for Stroke and Dementia Research (ISD) University Hospital LMU Munich Munich Germany. Centre for Brain Research Indian Institute of Science Bangalore India. INSERM U1219 Bordeaux Population Health Research Center University of Bordeaux Bordeaux France. Stroke Research Group Division of Clinical Neurosciences University of Cambridge Cambridge UK. Department of Neurology Institute for Neurodegenerative Disease Bordeaux University Hospital Bordeaux France. Laboratory for Statistical Analysis RIKEN Center for Integrative Medical Sciences Yokohama Japan. Department of Statistical Genetics Osaka University Graduate School of Medicine Osaka Japan. Laboratory of Statistical Immunology Immunology Frontier Research Center (WPI-IFReC) Osaka University Suita Japan. Department of Neurology Massachusetts General Hospital (MGH) Harvard Medical School Boston MA USA. Laboratory of Experimental Cardiology Department of Cardiology Division of Heart and Lungs University Medical Center Utrecht University of Utrecht Utrecht the Netherlands. deCODE genetics/AMGEN Inc. Reykjavik Iceland. Center for Genomic Medicine MGH Boston MA USA. J. Philip Kistler Stroke Research Center Department of Neurology MGH Boston MA USA. Program in Medical and Population Genetics Broad Institute Cambridge MA USA. Population Health Research Institute McMaster University Hamilton Ontario Canada. Department of Epidemiology Erasmus University Medical Center Rotterdam the Netherlands. Department of Radiology and Nuclear Medicine Erasmus University Medical Center Rotterdam the Netherlands. Department of Medicine and Clinical Science Graduate School of Medical Sciences Kyushu University Fukuoka Japan. Department of Clinical Sciences Lund University Malmö Sweden. INSERM Institut Pasteur de Lille LabEx DISTALZ-UMR1167 Risk Factors and Molecular Determinants of Aging-Related Diseases Université Lille Lille France. Centre Hospitalier Université Lille Epidemiology and Public Health D

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

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Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge

arXiv

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arXiv 2018年

作者： Bakas, Spyridon Reyes, Mauricio Jakab, Andras Bauer, Stefan Rempfler, Markus Crimi, Alessandro Shinohara, Russell Takeshi Berger, Christoph Ha, Sung Min Rozycki, Martin Prastawa, Marcel Alberts, Esther Lipkova, Jana Freymann, John Kirby, Justin Bilello, Michel Fathallah-Shaykh, Hassan M. Wiest, Roland Kirschke, Jan Wiestler, Benedikt Colen, Rivka Kotrotsou, Aikaterini Lamontagne, Pamela Marcus, Daniel Milchenko, Mikhail Nazeri, Arash Weber, Marc-Andr Mahajan, Abhishek Baid, Ujjwal Gerstner, Elizabeth Kwon, Dongjin Acharya, Gagan Agarwal, Manu Alam, Mahbubul Albiol, Alberto Albiol, Antonio Albiol, Francisco J. Alex, Varghese Allinson, Nigel Amorim, Pedro H.A. Amrutkar, Abhijit Anand, Ganesh Andermatt, Simon Arbel, Tal Arbelaez, Pablo Avery, Aaron Azmat, Muneeza Pranjal, B. Bai, Wenjia Banerjee, Subhashis Barth, Bill Batchelder, Thomas Batmanghelich, Kayhan Battistella, Enzo Beers, Andrew Belyaev, Mikhail Bendszus, Martin Benson, Eze Bernal, Jose Bharath, Halandur Nagaraja Biros, George Bisdas, Sotirios Brown, James Cabezas, Mariano Cao, Shilei Cardoso, Jorge M. Carver, Eric N. Casamitjana, Adri Castillo, Laura Silvana Cat, Marcel Cattin, Philippe Cérigues, Albert Chagas, Vinicius S. Chandra, Siddhartha Chang, Yi-Ju Chang, Shiyu Chang, Ken Chazalon, Joseph Chen, Shengcong Chen, Wei Chen, Jefferson W. Chen, Zhaolin Cheng, Kun Choudhury, Ahana Roy Chylla, Roger Clrigues, Albert Colleman, Steven Colmeiro, Ramiro German Rodriguez Combalia, Marc Costa, Anthony Cui, Xiaomeng Dai, Zhenzhen Dai, Lutao Daza, Laura Alexandra Deutsch, Eric Ding, Changxing Dong, Chao Dong, Shidu Dudzik, Wojciech Eaton-Rosen, Zach Egan, Gary Escudero, Guilherme Estienne, Tho Everson, Richard Fabrizio, Jonathan Fan, Yong Fang, Longwei Feng, Xue Ferrante, Enzo Fidon, Lucas Fischer, Martin French, Andrew P. Fridman, Naomi Fu, Huan Fuentes, David Gao, Yaozong Gates, Evan Gering, David Gholami, Amir Gierke, Willi Glocker, Ben Gong, Mingming Gonzlez-Vill, Sandra Grosges, T. Guan, Yuanfang Guo, Sheng Gupta, Sudeep Han, Woo-Sup Han, Il Song Harmuth, Ko Center for Biomedical Image Computing and Analytics University of Pennsylvania PhiladelphiaPA United States Department of Radiology Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Institute for Surgical Technology and Biomechanics University of Bern Bern Switzerland Center for MR-Research University Children's Hospital Zurich Zurich Switzerland Support Centre for Advanced Neuroimaging Inselspital Institute for Diagnostic and Interventional Neuroradiology Bern University Hospital Bern Switzerland University Hospital of Zurich Zurich Switzerland Center for Clinical Epidemiology and Biostatistics University of Pennsylvania Philadelphia United States Image-Based Biomedical Modeling Group Technical University of Munich Munich Germany Icahn School of Medicine Mount Sinai Health System New YorkNY United States Leidos Biomedical Research Inc. Frederick National Laboratory for Cancer Research FrederickMD21701 United States Cancer Imaging Program National Cancer Institute National Institutes of Health BethesdaMD20814 United States Department of Neurology University of Alabama at Birmingham BirminghamAL United States Department of Diagnostic Radiology University of Texas MD Anderson Cancer Center HoustonTX United States Department of Psychology Washington University St. LouisMO United States Neuroimaging Informatics and Analysis Center Washington University St. LouisMO United States Department of Radiology Washington University St. LouisMO United States Institute of Diagnostic and Interventional Radiology Pediatric Radiology and Neuroradiology University Medical Center Rostock Ernst-Heydemann-Str. 6 Rostock18057 Germany Tata Memorial Centre Homi Bhabha National Institute Mumbai India Shri Guru Gobind Singhji Institute of Engineering and Technology Nanded India NVIDIA Santa Clara

Gliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, i.e., peritumoral edematous/invaded tissue, necrotic core, active and non-enhancing core. This intrinsic heterogeneity is also portrayed in their radio-phenotype, as their sub-regions are depicted by varying intensity profiles disseminated across multi-parametric magnetic resonance imaging (mpMRI) scans, reflecting varying biological properties. Their heterogeneous shape, extent, and location are some of the factors that make these tumors difficult to resect, and in some cases inoperable. The amount of resected tumor is a factor also considered in longitudinal scans, when evaluating the apparent tumor for potential diagnosis of progression. Furthermore, there is mounting evidence that accurate segmentation of the various tumor sub-regions can offer the basis for quantitative image analysis towards prediction of patient overall survival. This study assesses the state-of-the-art machine learning (ML) methods used for brain tumor image analysis in mpMRI scans, during the last seven instances of the International Brain Tumor Segmentation (BraTS) challenge, i.e., 2012-2018. Specifically, we focus on i) evaluating segmentations of the various glioma sub-regions in pre-operative mpMRI scans, ii) assessing potential tumor progression by virtue of longitudinal growth of tumor sub-regions, beyond use of the RECIST/RANO criteria, and iii) predicting the overall survival from pre-operative mpMRI scans of patients that underwent gross total resection. Finally, we investigate the challenge of identifying the best ML algorithms for each of these tasks, considering that apart from being diverse on each instance of the challenge, the multi-institutional mpMRI BraTS dataset has also been a continuously evolving/growing dataset. Copyright © 2018, The Authors. All rights reserved.

关键词： Tumors

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Generalized Force-and-Energy Manipulability for design and control of redundant robotic arm

Generalized Force-and-Energy Manipulability for design and c...

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IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： D. Mori G. Ishigami Data and Software Engineering Research Group School of Electrical Engineering and Informatics ITB Bandung Indonesia Department of Computer Engineering and Informatics Bandung State Polytechnics Bandung

There is a possibility of remaining indication of microorganisms on Martian subsurface and therefore, a robotic arm mounted on an exploration robot is required to dig to a certain depth and collect appropriate sample to be analyzed. However, the environment on the surface of Mars is harsh and most of all, limited power is available from the solar panel. In this paper, FEMI (Force-and-Energy Manipulability Index) is proposed to evaluate a feasible arm configuration for low energy consumption in its soil sampling operation. FEMI is calculated by the combination of an energy manipulability of an arm and an external force generated at an end effector of the arm. The FEMI derives the most feasible configuration on the joint angles of the arm for each sampling point. The usefulness of the FEMI is confirmed through a numerical simulation of a robotic arm. The simulation also presents that the FEMI can be used to obtain mechanical parameters of the arm such as link length and motor power, that are optimally-designed for a certain mission.

关键词： Robots Soil Gravity Ellipsoids Mathematical model Energy consumption

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A software system family: Learning from simple data processing to knowledge management system of research

A software system family: Learning from simple data processi...

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International Conference on Information Technology and electrical engineering (ICITEE)

作者： Inggriani Liem Transmissia Semiawan Ade Chandra Suprihanto Data and Software Engineering Research Group School of Electrical Engineering and Informatics ITB Bandung Indonesia Department of Computer Engineering and Informatics Bandung State Polytechnics Bandung

In this paper, we propose a series of applications that represent a system family for processing research data. The whole system is a model of complete data flow of "research", from data capturing, processing, until intelligent data analysis. data engineering, software engineering, Domain engineering and Ontology engineering are used for the development of the system. We also described tools and technologies to be used in building the system. The prototype of a small scale system has been built as a proof of concept of this family of system, for the domain of "research" in Indonesian context. The aim of building this prototype are: (a) to provide an architectural description prototype of a knowledge repository where Indonesian Context research as a central domain (b) to comprehend a software engineering for software system family.

关键词： Ontologies software data models Unified modeling language Prototypes software engineering Information systems

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