12 research outputs found

    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

    The impact of non-isothermal soil moisture transport on evaporation fluxes in a maize cropland

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    The process of evaporation interacts with the soil, which has various comprehensive mechanisms. Multiphase flow models solve air, vapour, water, and heat transport equations to simulate non-isothermal soil moisture transport of both liquid water and vapor flow, but are only applied in non-vegetated soils. For (sparsely) vegetated soils often energy balance models are used, however these lack the detailed information on non-isothermal soil moisture transport. In this study we coupled a multiphase flow model with a two-layer energy balance model to study the impact of non-isothermal soil moisture transport on evaporation fluxes (i.e., interception, transpiration, and soil evaporation) for vegetated soils. The proposed model was implemented at an experimental agricultural site in Florida, US, covering an entire maize-growing season (67 days). As the crops grew, transpiration and interception became gradually dominated, while the fraction of soil evaporation dropped from 100% to less than 20%. The mechanisms of soil evaporation vary depending on the soil moisture content. After precipitation the soil moisture content increased, exfiltration of the liquid water flow could transport sufficient water to sustain evaporation from soil, and the soil vapor transport was not significant. However, after a sufficient dry-down period, the soil moisture content significantly reduced, and the soil vapour flow significantly contributed to the upward moisture transport in topmost soil. A sensitivity analysis found that the simulations of moisture content and temperature at the soil surface varied substantially when including the advective (i.e., advection and mechanical dispersion) vapour transport in simulation, including the mechanism of advective vapour transport decreased soil evaporation rate under wet condition, while vice versa under dry condition. The results showed that the formulation of advective soil vapor transport in a soil-vegetation-atmosphere transfer continuum can affect the simulated evaporation fluxes, especially under dry condition.Water Resource

    A satellite-based Standardized Antecedent Precipitation Index (SAPI) for mapping extreme rainfall risk in Myanmar

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    In recent decades, substantial efforts have been devoted in flood monitoring, prediction, and risk analysis for aiding flood event preparedness plans and mitigation measures. Introducing an initial framework of spatially probabilistic analysis of flood research, this study highlights an integrated statistical copula and satellite data-based approach to modelling the complex dependence structures between flood event characteristics, i.e., duration (D), volume (V) and peak (Q). The study uses Global daily satellite-based Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) (spatial resolution of ∌5 km) during 1981–2019 to derive a Standardized Antecedence Precipitation Index (SAPI) and its characteristics through a time-dependent reduction function for Myanmar. An advanced vine copula model was applied to model joint distributions between flood characteristics for each grid cell. The southwest (Rakhine, Bago, Yangon, and Ayeyarwady) and south (Kayin, Mon, and Tanintharyi) regions are found to be at high risk, with a probability of up to 40% of flood occurrence in August and September in the south (Kayin, Mon, and Tanintharyi) and southwest regions (Rakhine, Bago, Yangon, and Ayeyarwady). The results indicate a strong correlation among flood characteristics; however, their mean and standard deviation are spatially different. The findings reveal significant differences in the spatial patterns of the joint exceedance probability of flood event characteristics in different combined scenarios. The probability that duration, volume, and peak concurrently exceed 50th-quantile (median) values are about 60–70% in the regions along the administrative borders of Chin, Sagaing, Mandalay, Shan, Nay Pyi Taw, and Keyan. In the worst case and highest risk areas, the probability that duration, volume, and peak exceed the extreme values, i.e., the 90th-quantile, about 10–15% in the southwest of Sagaing, southeast of Chin, Nay Pyi Taw, Mon and areas around these states and up to 30% in the southeast of Dekkhinathiri township (Nay Pyi Taw). The proposed approach could improve the evaluation of exceedance probabilities used for flood early warning and risk assessment and management. The proposed framework is also applicable at larger scales (e.g., regions, continents and globally) and in different hydrological design events and for risk assessments (e.g., insurance).Statistic

    Analysis of plant root-induced preferential flow and pore-water pressure variation by a dual-permeability model

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    Vegetation can affect slope hydrology and stability via plant transpiration and induced matric suction. Previous work suggested that the presence of plant roots would induce preferential flow, and its effects may be more significant when the planting density is high. However, there is a lack of numerical studies on how planting density affects soil pore-water pressure and shear strength during heavy rainfall. This study aims to investigate the impact of plant root-induced preferential flow on hydromechanical processes of vegetated soils under different planting densities. Two modelling approaches, namely single- and dual-permeability models, were integrated with an infinite slope stability approach to simulate pore-water pressure dynamics and slope stability. Laboratory tests on soils with two different planting densities for a plant species, Schefflera heptaphylla, were conducted for numerical simulations. The single-permeability model overestimated the pore-water pressure in shallow soil and underestimated the infiltration depth. The dual-permeability model, which is able to model the effects of preferential flow, can better capture the observations of rapid increase of pore-water pressure and deeper pressure response in the vegetated soil. However, caution should be taken on the choice of pore-water pressure when using the dual-permeability model to assess the factor of safety. The dual-permeability model using the pore-water pressure in the preferential flow domain and that in the matrix domain would result in a lower and higher factor of safety, respectively.Water Resource

    Atmospheric polycyclic aromatic hydrocarbons in rural and urban areas of northern China

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    Air pollution in rural China has often been ignored, especially for the less developed west China. Atmospheric polycyclic aromatic hydrocarbons (PAHs) were measured monthly at 11 rural sites (5 rural villages and 6 rural fields) together with 7 urban stations in northern China between April 2010 and March 2011. PAH concentrations at rural village sites were similar to those in urban areas and significantly higher than those in rural fields, indicating severe contamination in rural villages. PAH concentrations in the west were similar to those in the more developed North China Plain, and higher than those along the coast. Such a geographical distribution is mainly caused by the differences in residential energy consumption and meteorological conditions, which can explain approximately 48% of the total variation in PAH concentrations. With heavy dependence on biofuel combustion for heating, seasonality in rural areas is more profound than that in urban areas. (C) 2014 Elsevier Ltd. All rights reserved.Air pollution in rural China has often been ignored, especially for the less developed west China. Atmospheric polycyclic aromatic hydrocarbons (PAHs) were measured monthly at 11 rural sites (5 rural villages and 6 rural fields) together with 7 urban stations in northern China between April 2010 and March 2011. PAH concentrations at rural village sites were similar to those in urban areas and significantly higher than those in rural fields, indicating severe contamination in rural villages. PAH concentrations in the west were similar to those in the more developed North China Plain, and higher than those along the coast. Such a geographical distribution is mainly caused by the differences in residential energy consumption and meteorological conditions, which can explain approximately 48% of the total variation in PAH concentrations. With heavy dependence on biofuel combustion for heating, seasonality in rural areas is more profound than that in urban areas. (C) 2014 Elsevier Ltd. All rights reserved

    Analytical methods for sensing of health-hazardous arsenic from biotic and abiotic natural resources

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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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Brown;H. Brown;P. A. Bruckman de Renstrom;D. Bruncko;R. Bruneliere;S. Brunet;A. Bruni;G. Bruni;M. Bruschi;T. Buanes;Q. Buat;F. Bucci;J. Buchanan;N. J. Buchanan;P. Buchholz;R. M. Buckingham;A. G. Buckley;S. I. Buda;I. A. Budagov;B. Budick;V. BĂŒscher;L. Bugge;D. Buira-Clark;O. Bulekov;M. Bunse;T. Buran;H. Burckhart;S. Burdin;T. Burgess;S. Burke;E. Busato;P. Bussey;C. P. Buszello;F. Butin;B. Butler;J. M. Butler;C. M. Buttar;J. M. Butterworth;W. Buttinger;S. Cabrera UrbĂĄn;D. Caforio;O. Cakir;P. Calafiura;G. Calderini;P. Calfayan;R. Calkins;L. P. Caloba;R. Caloi;D. Calvet;S. Calvet;R. Camacho Toro;P. Camarri;M. Cambiaghi;D. Cameron;L. M. Caminada;S. Campana;M. Campanelli;V. Canale;F. Canelli;A. Canepa;J. Cantero;L. Capasso;M. D. M. Capeans Garrido;I. Caprini;M. Caprini;D. Capriotti;M. Capua;R. Caputo;C. Caramarcu;R. Cardarelli;T. Carli;G. Carlino;L. Carminati;B. Caron;S. Caron;G. D. Carrillo Montoya;A. A. Carter;J. R. Carter;J. Carvalho;D. Casadei;M. P. Casado;M. Cascella;C. Caso;A. M. Castaneda Hernandez;E. Castaneda-Miranda;V. Castillo Gimenez;N. F. Castro;G. Cataldi;F. Cataneo;A. Catinaccio;J. R. Catmore;A. Cattai;G. Cattani;S. Caughron;D. Cauz;P. Cavalleri;D. Cavalli;M. Cavalli-Sforza;V. Cavasinni;F. Ceradini;A. S. Cerqueira;A. Cerri;L. Cerrito;F. Cerutti;S. A. Cetin;F. Cevenini;A. Chafaq;D. Chakraborty;K. Chan;B. Chapleau;J. D. Chapman;J. W. Chapman;E. Chareyre;D. G. Charlton;V. Chavda;C. A. Chavez Barajas;S. Cheatham;S. Chekanov;S. V. Chekulaev;G. A. Chelkov;M. A. Chelstowska;C. Chen;H. Chen;S. Chen;T. Chen;X. Chen;S. Cheng;A. Cheplakov;V. F. Chepurnov;R. Cherkaoui El Moursli;V. Chernyatin;E. Cheu;S. L. Cheung;L. Chevalier;G. Chiefari;L. Chikovani;J. T. Childers;A. Chilingarov;G. Chiodini;M. V. Chizhov;G. Choudalakis;S. Chouridou;I. A. Christidi;A. Christov;D. Chromek-Burckhart;M. L. Chu;J. Chudoba;G. Ciapetti;K. Ciba;A. K. Ciftci;R. Ciftci;D. Cinca;V. Cindro;M. D. Ciobotaru;C. Ciocca;A. Ciocio;M. Cirilli;M. Citterio;M. Ciubancan;A. Clark;P. J. Clark;W. Cleland;J. C. Clemens;B. Clement;C. Clement;R. W. Clifft;Y. Coadou;M. Cobal;A. Coccaro;J. Cochran;P. Coe;J. G. Cogan;J. Coggeshall;E. Cogneras;C. D. Cojocaru;J. Colas;A. P. Colijn;N. J. Collins;C. Collins-Tooth;J. Collot;G. Colon;P. Conde Muiño;E. Coniavitis;M. C. Conidi;M. Consonni;V. Consorti;S. Constantinescu;C. Conta;F. Conventi;J. Cook;M. Cooke;B. D. Cooper;A. M. Cooper-Sarkar;K. Copic;T. Cornelissen;M. Corradi;F. Corriveau;A. Cortes-Gonzalez;G. Cortiana;G. Costa;M. J. Costa;D. Costanzo;T. Costin;D. CĂŽtĂ©;R. Coura Torres;L. Courneyea;G. Cowan;C. Cowden;B. E. Cox;K. Cranmer;F. Crescioli;M. Cristinziani;G. Crosetti;R. Crupi;S. CrĂ©pĂ©-Renaudin;C.-M. Cuciuc;C. Cuenca Almenar;T. Cuhadar Donszelmann;M. Curatolo;C. J. Curtis;C. Cuthbert;P. Cwetanski;H. Czirr;Z. Czyczula;S. D’Auria;M. D’Onofrio;A. D’Orazio;P. V. M. Silva;C. Via;W. Dabrowski;T. Dai;C. Dallapiccola;M. Dam;M. Dameri;D. S. Damiani;H. O. Danielsson;D. Dannheim;V. Dao;G. Darbo;G. L. Darlea;C. Daum;W. Davey;T. Davidek;N. 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Djobava;M. A. B. Vale;A. Valle Wemans;T. K. O. Doan;M. Dobbs;R. Dobinson;D. Dobos;E. Dobson;J. Dodd;C. Doglioni;T. Doherty;Y. Doi;J. Dolejsi;I. Dolenc;Z. Dolezal;B. A. Dolgoshein;T. Dohmae;M. Donadelli;M. Donega;J. Donini;J. Dopke;A. Doria;A. Anjos;M. Dosil;A. Dotti;M. T. Dova;J. D. Dowell;A. D. Doxiadis;A. T. Doyle;Z. Drasal;J. Drees;N. Dressnandt;H. Drevermann;C. Driouichi;M. Dris;J. Dubbert;S. Dube;E. Duchovni;G. Duckeck;A. Dudarev;F. Dudziak;M. DĂŒhrssen;I. P. Duerdoth;L. Duflot;M-A. Dufour;M. Dunford;H. Duran Yildiz;R. Duxfield;M. Dwuznik;F. Dydak;M. DĂŒren;W. L. Ebenstein;J. Ebke;S. Eckweiler;K. Edmonds;C. A. Edwards;N. C. Edwards;W. Ehrenfeld;T. Ehrich;T. Eifert;G. Eigen;K. Einsweiler;E. Eisenhandler;T. Ekelof;M. Kacimi;M. Ellert;S. Elles;F. Ellinghaus;K. Ellis;N. Ellis;J. Elmsheuser;M. Elsing;D. Emeliyanov;R. Engelmann;A. Engl;B. Epp;A. Eppig;J. Erdmann;A. Ereditato;D. Eriksson;J. Ernst;M. Ernst;J. Ernwein;D. Errede;S. Errede;E. Ertel;M. Escalier;C. Escobar;X. Espinal Curull;B. Esposito;F. Etienne;A. I. Etienvre;E. Etzion;D. Evangelakou;H. Evans;L. Fabbri;C. Fabre;R. M. Fakhrutdinov;S. Falciano;Y. Fang;M. Fanti;A. Farbin;A. Farilla;J. Farley;T. Farooque;S. M. Farrington;P. Farthouat;P. Fassnacht;D. Fassouliotis;B. Fatholahzadeh;A. Favareto;L. Fayard;S. Fazio;R. Febbraro;P. Federic;O. L. Fedin;W. Fedorko;M. Fehling-Kaschek;L. Feligioni;D. Fellmann;C. Feng;E. J. Feng;A. B. Fenyuk;J. Ferencei;J. Ferland;W. Fernando;S. Ferrag;J. Ferrando;V. Ferrara;A. Ferrari;P. Ferrari;R. Ferrari;A. Ferrer;M. L. Ferrer;D. Ferrere;C. Ferretti;A. Ferretto Parodi;M. Fiascaris;F. Fiedler;A. Filipčič;A. Filippas;F. Filthaut;M. Fincke-Keeler;M. C. N. Fiolhais;L. Fiorini;A. Firan;G. Fischer;P. Fischer;M. J. Fisher;M. Flechl;I. Fleck;J. Fleckner;P. Fleischmann;S. Fleischmann;T. Flick;L. R. Flores Castillo;M. J. Flowerdew;M. Fokitis;T. Fonseca Martin;J. Fopma;D. A. Forbush;A. Formica;A. Forti;D. Fortin;J. M. Foster;D. Fournier;A. Foussat;A. J. Fowler;K. Fowler;H. 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. Griffiths;N. Grigalashvili;A. A. Grillo;S. Grinstein;Y. V. Grishkevich;J.-F. Grivaz;M. Groh;E. Gross;J. Grosse-Knetter;J. Groth-Jensen;K. Grybel;V. J. Guarino;D. Guest;C. Guicheney;A. Guida;S. Guindon;H. Guler;J. Gunther;B. Guo;J. Guo;A. Gupta;Y. Gusakov;V. N. Gushchin;A. Gutierrez;P. Gutierrez;N. Guttman;O. Gutzwiller;C. Guyot;C. Gwenlan;C. B. Gwilliam;A. Haas;S. Haas;C. Haber;H. K. Hadavand;D. R. Hadley;P. Haefner;F. Hahn;S. Haider;Z. Hajduk;H. Hakobyan;D. Hall;J. Haller;K. Hamacher;P. Hamal;M. Hamer;A. Hamilton;S. Hamilton;H. Han;L. Han;K. Hanagaki;K. Hanawa;M. Hance;C. Handel;P. Hanke;J. R. Hansen;J. B. Hansen;J. D. Hansen;P. H. Hansen;P. Hansson;K. Hara;G. A. Hare;T. Harenberg;S. Harkusha;D. Harper;R. D. Harrington;O. M. Harris;K. Harrison;J. Hartert;F. Hartjes;T. Haruyama;A. Harvey;S. Hasegawa;Y. Hasegawa;S. Hassani;M. Hatch;D. Hauff;S. Haug;M. Hauschild;R. Hauser;M. Havranek;B. M. Hawes;C. M. Hawkes;R. J. Hawkings;D. Hawkins;T. Hayakawa;T. Hayashi;D. Hayden;H. S. Hayward;S. J. 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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