Erratum to: 36th International Symposium on Intensive Care and Emergency Medicine

[This corrects the article DOI: 10.1186/s13054-016-1208-6.]

A Survey of Crowdsourcing in Medical Image Analysis

Rapid advances in image processing capabilities have been seen across many domains, fostered by the application of machine learning algorithms to "big-data". However, within the realm of medical image analysis, advances have been curtailed, in part, due to the limited availability of large-scale, well-annotated datasets. One of the main reasons for this is the high cost often associated with producing large amounts of high-quality meta-data. Recently, there has been growing interest in the application of crowdsourcing for this purpose; a technique that has proven effective for creating large-scale datasets across a range of disciplines, from computer vision to astrophysics. Despite the growing popularity of this approach, there has not yet been a comprehensive literature review to provide guidance to researchers considering using crowdsourcing methodologies in their own medical imaging analysis. In this survey, we review studies applying crowdsourcing to the analysis of medical images, published prior to July 2018. We identify common approaches, challenges and considerations, providing guidance of utility to researchers adopting this approach. Finally, we discuss future opportunities for development within this emerging domain.Web Information System

Reproductive strategies and seasonal changes in the somatic indices of seven small-bodied fishes in Atlantic Canada in relation to study design for environmental effects monitoring

Small-bodied fishes are more commonly being used in environmental effects monitoring (EEM) studies. There is a lack of understanding of the biological characteristics of many small-bodied species, which hinders study designs for monitoring studies. For example, 72 % of fish population surveys in Canada’s EEM program for pulp and paper mills that used small-bodied fishes were conducted outside of the reproductive period of the species. This resulted in an inadequate assessment of the EEM program’s primary effect endpoint (reproduction) for these studies. The present study examined seasonal changes in liver size, gonad size, and condition in seven freshwater and estuarine small-bodied fishes in Atlantic Canada. These data were used to examine differences in reproductive strategies and patterns of energy storage among species. Female gonadal recrudescence in all seven species began primarily in the 2-month period in the spring before spawning. Male gonadal development was concurrent with females in five species; however, gonadal recrudescence began in the fall in male three-spined stickleback (Gasterosteus aculeatus) and slimy sculpin (Cottus cognatus). The spawning period for each species was estimated from the decline in relative ovary size after its seasonal maximum value in spring. The duration of the spawning period reflected the reproductive strategy (single vs multiple spawning) of the species. Optimal sampling periods to assess reproductive impacts in each species were determined based on seasonal changes in ovary size and were identified to be during the prespawning period when gonads are developing and variability in relative gonad size is at a minimum

Metaverse beyond the hype: Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy

The metaverse has the potential to extend the physical world using augmented and virtual reality technologies allowing users to seamlessly interact within real and simulated environments using avatars and holograms. Virtual environments and immersive games (such as, Second Life, Fortnite, Roblox and VRChat) have been described as antecedents of the metaverse and offer some insight to the potential socio-economic impact of a fully functional persistent cross platform metaverse. Separating the hype and “meta…” rebranding from current reality is difficult, as “big tech” paints a picture of the transformative nature of the metaverse and how it will positively impact people in their work, leisure, and social interaction. The potential impact on the way we conduct business, interact with brands and others, and develop shared experiences is likely to be transformational as the distinct lines between physical and digital are likely to be somewhat blurred from current perceptions. However, although the technology and infrastructure does not yet exist to allow the development of new immersive virtual worlds at scale - one that our avatars could transcend across platforms, researchers are increasingly examining the transformative impact of the metaverse. Impacted sectors include marketing, education, healthcare as well as societal effects relating to social interaction factors from widespread adoption, and issues relating to trust, privacy, bias, disinformation, application of law as well as psychological aspects linked to addiction and impact on vulnerable people. This study examines these topics in detail by combining the informed narrative and multi-perspective approach from experts with varied disciplinary backgrounds on many aspects of the metaverse and its transformational impact. The paper concludes by proposing a future research agenda that is valuable for researchers, professionals and policy makers alike.Information and Communication Technolog

Urban stormwater management modeling and decision-making /

"Project no. 802219 (11023 GSC); Program element no. 1BB034."Report prepared by Department of Environmental Engineering Sciences, University of Florida, Gainesville, Florida.Includes bibliographical references (pages 178-185).Mode of access: Internet

Measurement of the diffractive cross-section in deep inelastic scattering

Diffractive scattering of $\gamma^* p \to X + N$, where $N$ is either a proton or a nucleonic system with $M_N~<~4$~GeV has been measured in deep inelastic scattering (DIS) at HERA. The cross section was determined by a novel method as a function of the $\gamma^* p$ c.m. energy $W$ between 60 and 245~GeV and of the mass $M_X$ of the system $X$ up to 15~GeV at average $Q^2$ values of 14 and 31~GeV$^2$. The diffractive cross section $d\sigma^{diff} /dM_X$ is, within errors, found to rise linearly with $W$. Parameterizing the $W$ dependence by the form d\sigma^{diff}/dM_X \propto (W^2)^{(2\overline{\mbox{\alpha_{_{I\hspace{-0.2em}P}}}} -2)} the DIS data yield for the pomeron trajectory \overline{\mbox{\alpha_{_{I\hspace{-0.2em}P}}}} = 1.23 \pm 0.02(stat) \pm 0.04 (syst) averaged over $t$ in the measured kinematic range assuming the longitudinal photon contribution to be zero. This value for the pomeron trajectory is substantially larger than \overline{\mbox{\alpha_{_{I\hspace{-0.2em}P}}}} extracted from soft interactions. The value of \overline{\mbox{\alpha_{_{I\hspace{-0.2em}P}}}} measured in this analysis suggests that a substantial part of the diffractive DIS cross section originates from processes which can be described by perturbative QCD. From the measured diffractive cross sections the diffractive structure function of the proton F^{D(3)}_2(\beta,Q^2, \mbox{x_{_{I\hspace{-0.2em}P}}}) has been determined, where $\beta$ is the momentum fraction of the struck quark in the pomeron. The form F^{D(3)}_2 = constant \cdot (1/ \mbox{x_{_{I\hspace{-0.2em}P}}})^a gives a good fit to the data in all $\beta$ and $Q^2$ intervals with $a = 1.46 \pm 0.04 (stat) \pmComment: 45 pages, including 16 figure

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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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. García;J. E. García 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. González 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. Gorišek;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. Hernández Jiménez;R. Herrberg;A. D. Hershenhorn;G. Herten;R. Hertenberger;L. Hervas;N. P. Hessey;E. Higón-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. Jež;S. Jézéquel;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. Kerševan;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. Kotamäki;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. Krüger;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. Levêque;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. Mättig;S. Mättig;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