9 research outputs found

    The redmapper galaxy cluster catalog from DES Science Verification data

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    We describe updates to the redMaPPer algorithm, a photometric red-sequence cluster finder specifically designed for large photometric surveys. The updated algorithm is applied to 150 {{deg}}2 of Science Verification (SV) data from the Dark Energy Survey (DES), and to the Sloan Digital Sky Survey (SDSS) DR8 photometric data set. The DES SV catalog is locally volume limited and contains 786 clusters with richness lambda \gt 20 (roughly equivalent to {M}{{500c}}≳ {10}14 {h}70-1 {M}o ) and 0.2\lt z\lt 0.9. The DR8 catalog consists of 26,311 clusters with 0.08\lt z\lt 0.6, with a sharply increasing richness threshold as a function of redshift for z≳ 0.35. The photometric redshift performance of both catalogs is shown to be excellent, with photometric redshift uncertainties controlled at the {sigma }z/(1+z)~ 0.01 level for zâ‰Č 0.7, rising to ~0.02 at z~ 0.9 in DES SV. We make use of Chandra and XMM X-ray and South Pole Telescope Sunyaev--Zeldovich data to show that the centering performance and mass--richness scatter are consistent with expectations based on prior runs of redMaPPer on SDSS data. We also show how the redMaPPer photo-z and richness estimates are relatively insensitive to imperfect star/galaxy separation and small-scale star masks

    Pan-cancer analysis of whole genomes

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    Cancer is driven by genetic change, and the advent of massively parallel sequencing has enabled systematic documentation of this variation at the whole-genome scale(1-3). Here we report the integrative analysis of 2,658 whole-cancer genomes and their matching normal tissues across 38 tumour types from the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA). We describe the generation of the PCAWG resource, facilitated by international data sharing using compute clouds. On average, cancer genomes contained 4-5 driver mutations when combining coding and non-coding genomic elements; however, in around 5% of cases no drivers were identified, suggesting that cancer driver discovery is not yet complete. Chromothripsis, in which many clustered structural variants arise in a single catastrophic event, is frequently an early event in tumour evolution; in acral melanoma, for example, these events precede most somatic point mutations and affect several cancer-associated genes simultaneously. Cancers with abnormal telomere maintenance often originate from tissues with low replicative activity and show several mechanisms of preventing telomere attrition to critical levels. Common and rare germline variants affect patterns of somatic mutation, including point mutations, structural variants and somatic retrotransposition. A collection of papers from the PCAWG Consortium describes non-coding mutations that drive cancer beyond those in the TERT promoter(4); identifies new signatures of mutational processes that cause base substitutions, small insertions and deletions and structural variation(5,6); analyses timings and patterns of tumour evolution(7); describes the diverse transcriptional consequences of somatic mutation on splicing, expression levels, fusion genes and promoter activity(8,9); and evaluates a range of more-specialized features of cancer genomes(8,10-18).Peer reviewe

    Comparison of wet-mount, Wright-Giemsa and Gram-stained urine sediment for predicting bacteriuria in dogs and cats

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    This study assessed the standard urinalysis technique and sediment stain techniques as predictors of bacterial culture results for canine and feline urine. Canine (n = 111) and feline (n = 79) urine samples were evaluated using unstained wet-mount and air-dried Gram and Wright-Giemsa stained sediment; results were compared to aerobic bacterial culture. Eleven canine and 7 feline urine samples were culture positive. Unstained wet-mount and stained sediment had sensitivities of 89% and 83% and specificities of 91% and 99%, respectively. The specificity of using either stain was higher (P < 0.01) than wet-mount examination for detecting bacteriuria. There were significant differences among 3 technologists in detecting true positives (P < 0.01). Association of sediment and culture results used 112 canine and 81 feline samples. There was a negative association (P < 0.01) between lipid detection and wet-mount identification of bacteria.;Source type: Electronic(1

    Identification of genetic variants associated with Huntington's disease progression: a genome-wide association study

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    Background Huntington's disease is caused by a CAG repeat expansion in the huntingtin gene, HTT. Age at onset has been used as a quantitative phenotype in genetic analysis looking for Huntington's disease modifiers, but is hard to define and not always available. Therefore, we aimed to generate a novel measure of disease progression and to identify genetic markers associated with this progression measure. Methods We generated a progression score on the basis of principal component analysis of prospectively acquired longitudinal changes in motor, cognitive, and imaging measures in the 218 indivduals in the TRACK-HD cohort of Huntington's disease gene mutation carriers (data collected 2008–11). We generated a parallel progression score using data from 1773 previously genotyped participants from the European Huntington's Disease Network REGISTRY study of Huntington's disease mutation carriers (data collected 2003–13). We did a genome-wide association analyses in terms of progression for 216 TRACK-HD participants and 1773 REGISTRY participants, then a meta-analysis of these results was undertaken. Findings Longitudinal motor, cognitive, and imaging scores were correlated with each other in TRACK-HD participants, justifying use of a single, cross-domain measure of disease progression in both studies. The TRACK-HD and REGISTRY progression measures were correlated with each other (r=0·674), and with age at onset (TRACK-HD, r=0·315; REGISTRY, r=0·234). The meta-analysis of progression in TRACK-HD and REGISTRY gave a genome-wide significant signal (p=1·12 × 10−10) on chromosome 5 spanning three genes: MSH3, DHFR, and MTRNR2L2. The genes in this locus were associated with progression in TRACK-HD (MSH3 p=2·94 × 10−8 DHFR p=8·37 × 10−7 MTRNR2L2 p=2·15 × 10−9) and to a lesser extent in REGISTRY (MSH3 p=9·36 × 10−4 DHFR p=8·45 × 10−4 MTRNR2L2 p=1·20 × 10−3). The lead single nucleotide polymorphism (SNP) in TRACK-HD (rs557874766) was genome-wide significant in the meta-analysis (p=1·58 × 10−8), and encodes an aminoacid change (Pro67Ala) in MSH3. In TRACK-HD, each copy of the minor allele at this SNP was associated with a 0·4 units per year (95% CI 0·16–0·66) reduction in the rate of change of the Unified Huntington's Disease Rating Scale (UHDRS) Total Motor Score, and a reduction of 0·12 units per year (95% CI 0·06–0·18) in the rate of change of UHDRS Total Functional Capacity score. These associations remained significant after adjusting for age of onset. Interpretation The multidomain progression measure in TRACK-HD was associated with a functional variant that was genome-wide significant in our meta-analysis. The association in only 216 participants implies that the progression measure is a sensitive reflection of disease burden, that the effect size at this locus is large, or both. Knockout of Msh3 reduces somatic expansion in Huntington's disease mouse models, suggesting this mechanism as an area for future therapeutic investigation

    Measurement of τ

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    Jet energy measurement and its systematic uncertainty in proton–proton collisions at

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    Search for anomaly-mediated supersymmetry breaking with the ATLAS detector based on a disappearing-track signature in pp collisions at sqrt(s) = 7TeV$

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    none3019G. Aad;B. Abbott;J. Abdallah;A. A. Abdelalim;A. Abdesselam;O. Abdinov;B. Abi;M. Abolins;H. Abramowicz;H. Abreu;E. Acerbi;B. S. Acharya;D. L. Adams;T. N. Addy;J. Adelman;M. Aderholz;S. Adomeit;P. Adragna;T. Adye;S. Aefsky;J. A. Aguilar-Saavedra;M. Aharrouche;S. P. Ahlen;F. Ahles;A. Ahmad;M. Ahsan;G. Aielli;T. Akdogan;T. P. A. Åkesson;G. Akimoto;A. V. Akimov;A. Akiyama;M. S. Alam;M. A. Alam;J. Albert;S. Albrand;M. Aleksa;I. N. Aleksandrov;F. Alessandria;C. Alexa;G. Alexander;G. Alexandre;T. Alexopoulos;M. Alhroob;M. Aliev;G. Alimonti;J. Alison;M. Aliyev;P. P. Allport;S. E. Allwood-Spiers;J. Almond;A. Aloisio;R. Alon;A. Alonso;B. Alvarez Gonzalez;M. G. Alviggi;K. Amako;P. Amaral;C. Amelung;V. V. Ammosov;A. Amorim;G. AmorĂłs;N. Amram;C. Anastopoulos;L. S. Ancu;N. Andari;T. Andeen;C. F. Anders;G. Anders;K. J. Anderson;A. Andreazza;V. Andrei;M-L. Andrieux;X. S. Anduaga;A. Angerami;F. Anghinolfi;A. Anisenkov;N. Anjos;A. Annovi;A. Antonaki;M. Antonelli;A. Antonov;J. Antos;F. 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Fox;P. Francavilla;S. Franchino;D. Francis;T. Frank;M. Franklin;S. Franz;M. Fraternali;S. Fratina;S. T. French;F. Friedrich;R. Froeschl;D. Froidevaux;J. A. Frost;C. Fukunaga;E. Fullana Torregrosa;J. Fuster;C. Gabaldon;O. Gabizon;T. Gadfort;S. Gadomski;G. Gagliardi;P. Gagnon;C. Galea;E. J. Gallas;V. Gallo;B. J. Gallop;P. Gallus;K. K. Gan;Y. S. Gao;V. A. Gapienko;A. Gaponenko;F. Garberson;M. Garcia-Sciveres;C. GarcĂ­a;J. E. GarcĂ­a Navarro;R. W. Gardner;N. Garelli;H. Garitaonandia;V. Garonne;J. Garvey;C. Gatti;G. Gaudio;O. Gaumer;B. Gaur;L. Gauthier;I. L. Gavrilenko;C. Gay;G. Gaycken;J-C. Gayde;E. N. Gazis;P. Ge;C. N. P. Gee;D. A. A. Geerts;Ch. Geich-Gimbel;K. Gellerstedt;C. Gemme;A. Gemmell;M. H. Genest;S. Gentile;M. George;S. George;P. Gerlach;A. Gershon;C. Geweniger;H. Ghazlane;N. Ghodbane;B. Giacobbe;S. Giagu;V. Giakoumopoulou;V. Giangiobbe;F. Gianotti;B. Gibbard;A. Gibson;S. M. Gibson;L. M. Gilbert;V. Gilewsky;D. Gillberg;A. R. Gillman;D. M. Gingrich;J. Ginzburg;N. Giokaris;M. P. Giordani;R. Giordano;F. M. Giorgi;P. Giovannini;P. F. Giraud;D. Giugni;M. Giunta;P. Giusti;B. K. Gjelsten;L. K. Gladilin;C. Glasman;J. Glatzer;A. Glazov;K. W. Glitza;G. L. Glonti;J. Godfrey;J. Godlewski;M. Goebel;T. Göpfert;C. Goeringer;C. Gössling;T. Göttfert;S. Goldfarb;T. Golling;S. N. Golovnia;A. Gomes;L. S. Gomez Fajardo;R. Gonçalo;J. Goncalves Pinto Firmino Da Costa;L. Gonella;A. Gonidec;S. Gonzalez;S. GonzĂĄlez de la Hoz;G. Gonzalez Parra;M. L. Gonzalez Silva;S. Gonzalez-Sevilla;J. J. Goodson;L. Goossens;P. A. Gorbounov;H. A. Gordon;I. Gorelov;G. Gorfine;B. Gorini;E. Gorini;A. GoriĆĄek;E. Gornicki;S. A. Gorokhov;V. N. Goryachev;B. Gosdzik;M. Gosselink;M. I. Gostkin;I. Gough Eschrich;M. Gouighri;D. Goujdami;M. P. Goulette;A. G. Goussiou;C. Goy;S. Gozpinar;I. Grabowska-Bold;P. Grafström;K-J. Grahn;F. Grancagnolo;S. Grancagnolo;V. Grassi;V. Gratchev;N. Grau;H. M. Gray;J. A. Gray;E. Graziani;O. G. Grebenyuk;T. Greenshaw;Z. D. Greenwood;K. Gregersen;I. M. Gregor;P. Grenier;J. 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Haywood;E. Hazen;M. He;S. J. Head;V. Hedberg;L. Heelan;S. Heim;B. Heinemann;S. Heisterkamp;L. Helary;C. Heller;M. Heller;S. Hellman;D. Hellmich;C. Helsens;R. C. W. Henderson;M. Henke;A. Henrichs;A. M. Henriques Correia;S. Henrot-Versille;F. Henry-Couannier;C. Hensel;T. Henß;C. M. Hernandez;Y. HernĂĄndez JimĂ©nez;R. Herrberg;A. D. Hershenhorn;G. Herten;R. Hertenberger;L. Hervas;N. P. Hessey;E. HigĂłn-Rodriguez;D. Hill;J. C. Hill;N. Hill;K. H. Hiller;S. Hillert;S. J. Hillier;I. Hinchliffe;E. Hines;M. Hirose;F. Hirsch;D. Hirschbuehl;J. Hobbs;N. Hod;M. C. Hodgkinson;P. Hodgson;A. Hoecker;M. R. Hoeferkamp;J. Hoffman;D. Hoffmann;M. Hohlfeld;M. Holder;S. O. Holmgren;T. Holy;J. L. Holzbauer;Y. Homma;T. M. Hong;L. Hooft van Huysduynen;T. Horazdovsky;C. Horn;S. Horner;J-Y. Hostachy;S. Hou;M. A. Houlden;A. Hoummada;J. Howarth;D. F. Howell;I. Hristova;J. Hrivnac;I. Hruska;T. Hryn’ova;P. J. Hsu;S.-C. Hsu;G. S. Huang;Z. Hubacek;F. Hubaut;F. Huegging;T. B. Huffman;E. W. Hughes;G. Hughes;R. E. Hughes-Jones;M. Huhtinen;P. Hurst;M. Hurwitz;U. Husemann;N. Huseynov;J. Huston;J. Huth;G. Iacobucci;G. Iakovidis;M. Ibbotson;I. Ibragimov;R. Ichimiya;L. Iconomidou-Fayard;J. Idarraga;P. Iengo;O. Igonkina;Y. Ikegami;M. Ikeno;Y. Ilchenko;D. Iliadis;N. Ilic;D. Imbault;M. Imori;T. Ince;J. Inigo-Golfin;P. Ioannou;M. Iodice;A. Irles Quiles;C. Isaksson;A. Ishikawa;M. Ishino;R. Ishmukhametov;C. Issever;S. Istin;A. V. Ivashin;W. Iwanski;H. Iwasaki;J. M. Izen;V. Izzo;B. Jackson;J. N. Jackson;P. Jackson;M. R. Jaekel;V. Jain;K. Jakobs;S. Jakobsen;J. Jakubek;D. K. Jana;E. Jankowski;E. Jansen;H. Jansen;A. Jantsch;M. Janus;G. Jarlskog;L. Jeanty;K. Jelen;I. Jen-La Plante;P. Jenni;A. Jeremie;P. JeĆŸ;S. JĂ©zĂ©quel;M. K. Jha;H. Ji;W. Ji;J. Jia;Y. Jiang;M. Jimenez Belenguer;G. Jin;S. Jin;O. Jinnouchi;M. D. Joergensen;D. Joffe;L. G. Johansen;M. Johansen;K. E. Johansson;P. Johansson;S. Johnert;K. A. Johns;K. Jon-And;G. Jones;R. W. L. Jones;T. W. Jones;T. J. Jones;O. Jonsson;C. Joram;P. M. Jorge;J. Joseph;T. Jovin;X. Ju;C. A. Jung;V. Juranek;P. Jussel;A. Juste Rozas;V. V. Kabachenko;S. Kabana;M. Kaci;A. Kaczmarska;P. Kadlecik;M. Kado;H. Kagan;M. Kagan;S. Kaiser;E. Kajomovitz;S. Kalinin;L. V. Kalinovskaya;S. Kama;N. Kanaya;M. Kaneda;T. Kanno;V. A. Kantserov;J. Kanzaki;B. Kaplan;A. Kapliy;J. Kaplon;D. Kar;M. Karagounis;M. Karagoz;M. Karnevskiy;K. Karr;V. Kartvelishvili;A. N. Karyukhin;L. Kashif;G. Kasieczka;R. D. Kass;A. Kastanas;M. Kataoka;Y. Kataoka;E. Katsoufis;J. Katzy;V. Kaushik;K. Kawagoe;T. Kawamoto;G. Kawamura;M. S. Kayl;V. A. Kazanin;M. Y. Kazarinov;J. R. Keates;R. Keeler;R. Kehoe;M. Keil;G. D. Kekelidze;J. Kennedy;C. J. Kenney;M. Kenyon;O. Kepka;N. Kerschen;B. P. KerĆĄevan;S. Kersten;K. Kessoku;J. Keung;F. Khalil-zada;H. Khandanyan;A. Khanov;D. Kharchenko;A. Khodinov;A. G. Kholodenko;A. Khomich;T. J. Khoo;G. Khoriauli;A. Khoroshilov;N. Khovanskiy;V. Khovanskiy;E. Khramov;J. Khubua;H. Kim;M. S. Kim;P. C. Kim;S. H. Kim;N. Kimura;O. Kind;B. T. King;M. King;R. S. B. King;J. Kirk;L. E. Kirsch;A. E. Kiryunin;T. Kishimoto;D. Kisielewska;T. Kittelmann;A. M. Kiver;E. Kladiva;J. Klaiber-Lodewigs;M. Klein;U. Klein;K. Kleinknecht;M. Klemetti;A. Klier;A. Klimentov;R. Klingenberg;E. B. Klinkby;T. Klioutchnikova;P. F. Klok;S. Klous;E.-E. Kluge;T. Kluge;P. Kluit;S. Kluth;N. S. Knecht;E. Kneringer;J. Knobloch;E. B. F. G. Knoops;A. Knue;B. R. Ko;T. Kobayashi;M. Kobel;M. Kocian;P. Kodys;K. Köneke;A. C. König;S. Koenig;L. Köpke;F. Koetsveld;P. Koevesarki;T. Koffas;E. Koffeman;F. Kohn;Z. Kohout;T. Kohriki;T. Koi;T. Kokott;G. M. Kolachev;H. Kolanoski;V. Kolesnikov;I. Koletsou;J. Koll;D. Kollar;M. Kollefrath;S. D. Kolya;A. A. Komar;Y. Komori;T. Kondo;T. Kono;A. I. Kononov;R. Konoplich;N. Konstantinidis;A. Kootz;S. Koperny;S. V. Kopikov;K. Korcyl;K. Kordas;V. Koreshev;A. Korn;A. Korol;I. Korolkov;E. V. Korolkova;V. A. Korotkov;O. Kortner;S. Kortner;V. V. Kostyukhin;M. J. KotamĂ€ki;S. Kotov;V. M. Kotov;A. Kotwal;C. Kourkoumelis;V. Kouskoura;A. Koutsman;R. Kowalewski;T. Z. Kowalski;W. Kozanecki;A. S. Kozhin;V. Kral;V. A. Kramarenko;G. Kramberger;M. W. Krasny;A. Krasznahorkay;J. Kraus;J. K. Kraus;A. Kreisel;F. Krejci;J. Kretzschmar;N. Krieger;P. Krieger;K. Kroeninger;H. Kroha;J. Kroll;J. Kroseberg;J. Krstic;U. Kruchonak;H. KrĂŒger;T. Kruker;N. Krumnack;Z. V. Krumshteyn;A. Kruth;T. Kubota;S. Kuehn;A. Kugel;T. Kuhl;D. Kuhn;V. Kukhtin;Y. Kulchitsky;S. Kuleshov;C. Kummer;M. Kuna;N. Kundu;J. Kunkle;A. Kupco;H. Kurashige;M. Kurata;Y. A. Kurochkin;V. Kus;M. Kuze;J. Kvita;R. Kwee;A. Rosa;L. Rotonda;L. Labarga;J. Labbe;S. Lablak;C. Lacasta;F. Lacava;H. Lacker;D. Lacour;V. R. Lacuesta;E. Ladygin;R. Lafaye;B. Laforge;T. Lagouri;S. Lai;E. Laisne;M. Lamanna;C. L. Lampen;W. Lampl;E. Lancon;U. Landgraf;M. P. J. Landon;H. Landsman;J. L. Lane;C. Lange;A. J. Lankford;F. Lanni;K. Lantzsch;S. Laplace;C. Lapoire;J. F. Laporte;T. Lari;A. V. Larionov;A. Larner;C. Lasseur;M. Lassnig;P. Laurelli;W. Lavrijsen;P. Laycock;A. B. Lazarev;O. Dortz;E. Guirriec;C. Maner;E. Menedeu;C. Lebel;T. LeCompte;F. Ledroit-Guillon;H. Lee;J. S. H. Lee;S. C. Lee;L. Lee;M. Lefebvre;M. Legendre;A. Leger;B. C. LeGeyt;F. Legger;C. Leggett;M. Lehmacher;G. Lehmann Miotto;X. Lei;M. A. L. Leite;R. Leitner;D. Lellouch;M. Leltchouk;B. Lemmer;V. Lendermann;K. J. C. Leney;T. Lenz;G. Lenzen;B. Lenzi;K. Leonhardt;S. Leontsinis;C. Leroy;J-R. Lessard;J. Lesser;C. G. Lester;A. Leung Fook Cheong;J. LevĂȘque;D. Levin;L. J. Levinson;M. S. Levitski;A. Lewis;G. H. Lewis;A. M. Leyko;M. Leyton;B. Li;H. Li;S. Li;X. Li;Z. Liang;H. Liao;B. Liberti;P. Lichard;M. Lichtnecker;K. Lie;W. Liebig;R. Lifshitz;C. Limbach;A. Limosani;M. Limper;S. C. Lin;F. Linde;J. T. Linnemann;E. Lipeles;L. Lipinsky;A. Lipniacka;T. M. Liss;D. Lissauer;A. Lister;A. M. Litke;C. Liu;D. Liu;H. Liu;J. B. Liu;M. Liu;S. Liu;Y. Liu;M. Livan;S. S. A. Livermore;A. Lleres;J. Llorente Merino;S. L. Lloyd;E. Lobodzinska;P. Loch;W. S. Lockman;T. Loddenkoetter;F. K. Loebinger;A. Loginov;C. W. Loh;T. Lohse;K. Lohwasser;M. Lokajicek;J. Loken;V. P. Lombardo;R. E. Long;L. Lopes;D. Lopez Mateos;J. Lorenz;M. Losada;P. Loscutoff;F. Lo Sterzo;M. J. Losty;X. Lou;A. Lounis;K. F. Loureiro;J. Love;P. A. Love;A. J. Lowe;F. Lu;H. J. Lubatti;C. Luci;A. Lucotte;A. Ludwig;D. Ludwig;I. Ludwig;J. Ludwig;F. Luehring;G. Luijckx;D. Lumb;L. Luminari;E. Lund;B. Lund-Jensen;B. Lundberg;J. Lundberg;J. Lundquist;M. Lungwitz;G. Lutz;D. Lynn;J. Lys;E. Lytken;H. Ma;L. L. Ma;J. A. Macana Goia;G. Maccarrone;A. Macchiolo;B. Maček;J. Machado Miguens;R. Mackeprang;R. J. Madaras;W. F. Mader;R. Maenner;T. Maeno;P. MĂ€ttig;S. MĂ€ttig;L. Magnoni;E. Magradze;Y. Mahalalel;K. Mahboubi;G. Mahout;C. Maiani;C. Maidantchik;A. Maio;S. Majewski;Y. Makida;N. Makovec;P. Mal;Pa. Malecki;P. Malecki;V. P. Maleev;F. Malek;U. Mallik;D. Malon;C. Malone;S. Maltezos;V. Malyshev;S. Malyukov;R. Mameghani;J. Mamuzic;A. Manabe;L. Mandelli;I. Mandić;R. Mandrysch;J. Maneira;P. S. Mangeard;I. D. Manjavidze;A. Mann;P. M. Manning;A. Manousakis-Katsikakis;B. Mansoulie;A. Manz;A. Mapelli;L. Mapelli;L. March;J. F. Marchand;F. Marchese;G. Marchiori;M. Marcisovsky;A. Marin;C. P. Marino;F. Marroquim;R. Marshall;Z. Marshall;F. K. Martens;S. Marti-Garcia;A. J. Martin;B. Martin;B. Martin;F. F. Martin;J. P. Martin;Ph. Martin;T. A. Martin;V. J. Martin;B. Ma
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