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description Publicationkeyboard_double_arrow_right Article , Preprint 2020Embargo end date: 01 Jan 2020 FrancearXiv Roueff, Antoine; Gerin, Maryvonne; Gratier, Pierre; Levrier, François; Pety, Jérôme; Gaudel, Mathilde; Goicoechea, Javier,; Orkisz, Jan; De Souza Magalhaes, Victor; Vono, Maxime; Bardeau, Sébastien; Bron, Emeric; Chanussot, Jocelyn; Chainais, Pierre; Guzman, Viviana; Hughes, Annie; Kainulainen, Jouni; Languignon, David; Le Bourlot, Jacques; Le Petit, Franck; Liszt, Harvey; marchal, antoine; Miville-Deschênes, Marc-Antoine; Peretto, Nicolas; Roueff, Evelyne; Sievers, Albrecht;CO isotopologue transitions are routinely observed in molecular clouds to probe the column density of the gas, the elemental ratios of carbon and oxygen, and to trace the kinematics of the environment. We aim at estimating the abundances, excitation temperatures, velocity field and velocity dispersions of the three main CO isotopologues towards a subset of the Orion B molecular cloud. We use the Cramer Rao Bound (CRB) technique to analyze and estimate the precision of the physical parameters in the framework of local-thermodynamic-equilibrium excitation and radiative transfer with an additive white Gaussian noise. We propose a maximum likelihood estimator to infer the physical conditions from the 1-0 and 2-1 transitions of CO isotopologues. Simulations show that this estimator is unbiased and efficient for a common range of excitation temperatures and column densities (Tex > 6 K, N > 1e14 - 1e15 cm-2). Contrary to the general assumptions, the different CO isotopologues have distinct excitation temperatures, and the line intensity ratios between different isotopologues do not accurately reflect the column density ratios. We find mean fractional abundances that are consistent with previous determinations towards other molecular clouds. However, significant local deviations are inferred, not only in regions exposed to UV radiation field but also in shielded regions. These deviations result from the competition between selective photodissociation, chemical fractionation, and depletion on grain surfaces. We observe that the velocity dispersion of the C18O emission is 10% smaller than that of 13CO. The substantial gain resulting from the simultaneous analysis of two different rotational transitions of the same species is rigorously quantified. The CRB technique is a promising avenue for analyzing the estimation of physical parameters from the fit of spectral lines. 27 pages, 23 PDF figures. Accepted for publication in A&A. Uses aa latex macro
arXiv.org e-Print Ar... arrow_drop_down https://doi.org/10.48550/arxiv...Article . 2020License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert arXiv.org e-Print Ar... arrow_drop_down https://doi.org/10.48550/arxiv...Article . 2020License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2021 Denmark, Sweden, France, Netherlands, Denmark, Denmark, Sweden, United Kingdom, United Kingdom, FranceWiley NIH | Heart Failure Clinical Tr..., EC | inHForm, NIH | UCLA Clinical Translation... +10 projectsNIH| Heart Failure Clinical Trials Network ,EC| inHForm ,NIH| UCLA Clinical Translational Science Institute ,NIH| Renal Sympathetic Denervation in Congestive Heart Failure ,EC| BigData Heart ,NIH| Heart Failure Clinical Research Network Coordinating Center ,NIH| Genomics of Cardiac Arrhythmias ,NIH| SALsalate to Improve Exercise toleraNce and LVDD in T2dm-DHF (SALIENT-DHF trial) ,NIH| Heart Failure Clinical Research Network Regional Clinical Center (U10) ,NIH| Mayo Heart Failure Regional Clinical Center ,NIH| Harvard Regional Clinical Center of the NHLBI Heart Failure Network ,NIH| Mid Atlantic Heart Failure Network ,NIH| New England, New York and Quebec Regional Clinical CenterR. Thomas Lumbers; Sonia Shah; Honghuang Lin; Tomasz Czuba; Albert Henry; Daniel I. Swerdlow; Anders Mälarstig; Charlotte Andersson; Niek Verweij; Michael V. Holmes; Johan Ärnlöv; Per H. Svensson; Harry Hemingway; Neneh Sallah; Peter Almgren; Krishna G. Aragam; Géraldine Asselin; Joshua D. Backman; Mary L. Biggs; Heather L. Bloom; Eric Boersma; Jeffrey Brandimarto; Michael R. Brown; Hans-Peter Brunner-La Rocca; David J. Carey; Mark Chaffin; Daniel I. Chasman; Olympe Chazara; Xing Chen; Xu Chen; Jonathan H. Chung; William A. Chutkow; John G.F. Cleland; James P. Cook; Simon de Denus; Graciela E. Delgado; Spiros Denaxas; Alex S. F. Doney; Marcus Dörr; Samuel C. Dudley; Gunnar Engström; Ghazaleh Fatemifar; Chris Finan; Ian Ford; Francoise Fougerousse; René Fouodjio; Mohsen Ghanbari; Vilmantas Giedraitis; Franco Giulianini; John S. Gottdiener; Stefan Gross; Daníel F. Guðbjartsson; Hongsheng Gui; Rebecca Gutmann; Christopher M. Haggerty; Pim van der Harst; Åsa K. Hedman; Anna Helgadottir; Hans L. Hillege; Craig L. Hyde; Jaison Jacob; J. Wouter Jukema; Frederick K. Kamanu; Isabella Kardys; Maryam Kavousi; Kay-Tee Khaw; Marcus E. Kleber; Lars Køber; Andrea Koekemoer; Bill Kraus; Karoline Kuchenbaecker; Claudia Langenberg; Lars Lind; Cecilia M. Lindgren; Barry London; Luca A. Lotta; Ruth C. Lovering; Jian'an Luan; Patrik K. E. Magnusson; Anubha Mahajan; Douglas L. Mann; Kenneth B. Margulies; Nicholas A Marston; Winfried März; John J.V. McMurray; Olle Melander; Giorgio E. M. Melloni; Ify R. Mordi; Michael Morley; Andrew D. Morris; Andrew P. Morris; Alanna C. Morrison; Michael W. Nagle; Christopher P. Nelson; Christopher Newton-Cheh; Alexander Niessner; Teemu J. Niiranen; Christoph Nowak; Michelle L. O'Donoghue; Anjali T. Owens; Colin N. A. Palmer; Guillaume Paré; Markus Perola; Louis Philippe Lemieux Perreault; Eliana Portilla-Fernandez; Kenneth Rice; Paul M. Ridker; Simon P. R. Romaine; Carolina Roselli; Jerome I. Rotter; Christian T. Ruff; Marc S. Sabatine; Perttu Salo; Veikko Salomaa; Jessica van Setten; Alaa Shalaby; Diane T. Smelser; Nicholas L. Smith; Kari Stefansson; Steen Stender; David J. Stott; G Sveinbjörnsson; Mari Liis Tammesoo; Jean-Claude Tardif; Kent D. Taylor; Maris Teder-Laving; Alexander Teumer; Guðmundur Thorgeirsson; Unnur Thorsteinsdottir; Christian Torp-Pedersen; Stella Trompet; Danny Tuckwell; Benoit Tyl; André G. Uitterlinden; Felix Vaura; Abirami Veluchamy; Peter M. Visscher; Uwe Völker; Adriaan A. Voors; Xiaosong Wang; Nicholas J. Wareham; Peter Weeke; Raul Weiss; Kerri L. Wiggins; Heming Xing; Jian Yang; Yifan Yang; Laura M. Yerges-Armstrong; Bing Yu; Faiez Zannad; Faye Zhao; Jemma B. Wilk; Hilma Holm; Naveed Sattar; Steven A. Lubitz; David E. Lanfear; Svati H. Shah; Michael E. Dunn; Quinn S. Wells; Folkert W. Asselbergs; Aroon D. Hingorani; Marie-Pierre Dubé; Nilesh J. Samani; Chim C. Lang; Thomas P. Cappola; Patrick T. Ellinor; Ramachandran S. Vasan; J. Gustav Smith;Abstract: Aims: The HERMES (HEart failure Molecular Epidemiology for Therapeutic targetS) consortium aims to identify the genomic and molecular basis of heart failure. Methods and results: The consortium currently includes 51 studies from 11 countries, including 68 157 heart failure cases and 949 888 controls, with data on heart failure events and prognosis. All studies collected biological samples and performed genome‐wide genotyping of common genetic variants. The enrolment of subjects into participating studies ranged from 1948 to the present day, and the median follow‐up following heart failure diagnosis ranged from 2 to 116 months. Forty‐nine of 51 individual studies enrolled participants of both sexes; in these studies, participants with heart failure were predominantly male (34–90%). The mean age at diagnosis or ascertainment across all studies ranged from 54 to 84 years. Based on the aggregate sample, we estimated 80% power to genetic variant associations with risk of heart failure with an odds ratio of ≥1.10 for common variants (allele frequency ≥ 0.05) and ≥1.20 for low‐frequency variants (allele frequency 0.01–0.05) at P < 5 × 10−8 under an additive genetic model. Conclusions: HERMES is a global collaboration aiming to (i) identify the genetic determinants of heart failure; (ii) generate insights into the causal pathways leading to heart failure and enable genetic approaches to target prioritization; and (iii) develop genomic tools for disease stratification and risk prediction. Funder: Department of Medicine, Boston University School of Medicine; Id: http://dx.doi.org/10.13039/100008748 Funder: National Heart, Lung, and Blood Institute; Id: http://dx.doi.org/10.13039/100000050 Funder: Knut and Alice Wallenberg Foundation; Id: http://dx.doi.org/10.13039/501100004063 Funder: NIHR UCLH Biomedical Research Centre; Id: http://dx.doi.org/10.13039/501100012317 Funder: Skåne University Hospital; Id: http://dx.doi.org/10.13039/501100011077 Funder: Evans Medical Foundation; Id: http://dx.doi.org/10.13039/100015927 Funder: Crafoord Foundation; Id: http://dx.doi.org/10.13039/501100003173 Funder: British Heart Foundation Cardiovascular Biomedicine Funder: Swedish National Health Service
NARCIS arrow_drop_down NARCIS; ESC Heart FailureArticle . 2021NARCIS; ESC Heart FailureArticle . 2021ESC Heart Failure; Aalborg University Research PortalArticle . 2021Copenhagen University Research Information SystemArticle . 2021Data sources: Copenhagen University Research Information SystemLUMC Scholarly Publications; Leiden University Scholarly Publications Repository; NARCISOther literature type . Article . 2021License: CC BYVBN; Aalborg University Research PortalArticle . 2021NARCIS; ESC Heart FailureArticle . 2021add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu8 citations 8 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 3visibility views 3 download downloads 43 Powered bymore_vert NARCIS arrow_drop_down NARCIS; ESC Heart FailureArticle . 2021NARCIS; ESC Heart FailureArticle . 2021ESC Heart Failure; Aalborg University Research PortalArticle . 2021Copenhagen University Research Information SystemArticle . 2021Data sources: Copenhagen University Research Information SystemLUMC Scholarly Publications; Leiden University Scholarly Publications Repository; NARCISOther literature type . Article . 2021License: CC BYVBN; Aalborg University Research PortalArticle . 2021NARCIS; ESC Heart FailureArticle . 2021add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Report , Other literature type , Preprint 2018 Turkey, Italy, Italy, Germany, Portugal, Portugal, Italy, United Kingdom, Italy, Italy, Spain, Denmark, Italy, Poland, Italy, Italy, France, ItalySpringer Science and Business Media LLC Aaboud M.; Aad G.; Abbott B.; Abdinov O.; Abeloos B.; Abhayasinghe D. K.; Abidi S. H.; Abouzeid O. S.; Abraham N. L.; Abramowicz H.; Abreu H.; Abulaiti Y.; Acharya B. S.; Adachi S.; Adam L.; Adamczyk L.; Adelman J.; Adersberger M.; Adiguzel A.; Adye T.; Affolder A. A.; Afik Y.; Agheorghiesei C.; Aguilar-Saavedra J. A.; Ahmadov F.; Aielli G.; Akatsuka S.; Åkesson T. P. A.; Akilli E.; Akimov A. V.; Alberghi G. L.; Albert J.; Albicocco P.; Alconada Verzini M. J.; Alderweireldt S.; Aleksa M.; Aleksandrov I. N.; Alexa C.; Alexopoulos T.; Alhroob M.; Ali B.; Alimonti G.; Alison J.; Alkire S. P.; Allaire C.; Allbrooke B. M. M.; Allen B. W.; Allport P. P.; Aloisio A.; Alonso A.; Alonso F.; Alpigiani C.; Alshehri A. A.; Alstaty M. I.; Alvarez Gonzalez B.; Álvarez Piqueras D.; Alviggi M. G.; Amadio B. T.; Amaral Coutinho Y.; Ambler A.; Ambroz L.; Amelung C.; Amidei D.; Amor Dos Santos S. P.; Amoroso S.; Amrouche C. S.; Anastopoulos C.; Ancu L. S.; Andari N.; Andeen T.; Anders C. F.; Anders J. K.; Anderson K. J.; Andreazza A.; Andrei V.; Anelli C. R.; Angelidakis S.; Angelozzi I.; Angerami A.; Anisenkov A. V.; Annovi A.; Antel C.; Anthony M. T.; Antonelli M.; Antrim D. J. A.; Anulli F.; Aoki M.; Aparisi Pozo J. A.; Aperio Bella L.; Arabidze G.; Araque J. P.; Araujo Ferraz V.; Araujo Pereira R.; Arce A. T. H.; Ardell R. E.; Arduh F. A.; Arguin J. -F.; Argyropoulos S.; Armbruster A. J.; Armitage L. J.; Armstrong A.; Arnaez O.; Arnold H.; Arratia M.; Arslan O.; Artamonov A.; Artoni G.; Artz S.; Asai S.; Asbah N.; Asimakopoulou E. M.; Asquith L.; Assamagan K.; Astalos R.; Atkin R. J.; Atkinson M.; Atlay N. B.; Augsten K.; Avolio G.; Avramidou R.; Ayoub M. K.; Azuelos G.; Baas A. E.; Baca M. J.; Bachacou H.; Bachas K.; Backes M.; Bagnaia P.; Bahmani M.; Bahrasemani H.; Bailey A. J.; Baines J. T.; Bajic M.; Bakalis C.; Baker O. K.; Bakker P. J.; Bakshi Gupta D.; Balaji S.; Baldin E. M.; Balek P.; Balli F.; Balunas W. K.; Balz J.; Banas E.; Bandyopadhyay A.; Banerjee S.; Bannoura A. A. E.; Barak L.; Barbe W. M.; Barberio E. L.; Barberis D.; Barbero M.; Barillari T.; Barisits M. -S.; Barkeloo J.; Barklow T.; Barnea R.; Barnes S. L.; Barnett B. M.; Barnett R. M.; Barnovska-Blenessy Z.; Baroncelli A.; Barone G.; Barr A. J.; Barranco Navarro L.; Barreiro F.; Barreiro Guimarães da Costa J.; Bartoldus R.; Barton A. E.; Bartos P.; Basalaev A.; Bassalat A.; Bates R. L.; Batista S. J.; Batlamous S.; Batley J. R.; Battaglia M.; Bauce M.; Bauer F.; Bauer K. T.; Bawa H. S.; Beacham J. B.; Beau T.; Beauchemin P. H.; Bechtle P.; Beck H. C.; Beck H. P.; Becker K.; Becker M.; Becot C.; Beddall A.; Beddall A. J.; Bednyakov V. A.; Bedognetti M.; Bee C. P.; Beermann T. A.; Begalli M.; Begel M.; Behera A.; Behr J. K.; Bellagamba L.; Benchekroun D.; Benekos N.; Benjamin D. P.; Benoit M.; Berger N.; Beringer J.; Berta P.; Bessner M.; Besson N.; Bethani A.; Betti A.; Bevan A. J.; Bianchi R. M.; Biesuz N. V.; Billoud T. R. V.; Bindi M.; Biondi S.; Biswal J. P.; Blue A.; Bogavac D.; Bold T.; Bolz A. E.; Bona M.; Bortfeldt J.; Bosman M.; Bossio Sola J. D.; Bouaouda K.; Bouhova-Thacker E. V.; Boutle S. K.; Boveia A.; Brahimi N.; Brandt A.; Breaden Madden W. D.; Britton D.; Brooijmans G.; Brost E.; Broughton J. H.; Bruckman de Renstrom P. A.; Bruno S.; Bruscino N.; Buckley A. G.; Burdin S.; Burke S.; Buttar C. M.; Butterworth J. M.; Buzykaev A. R.; Cabras G.; Cai H.; Cairo V. M. M.; Cakir O.; Calafiura P.; Calandri A.; Callea G.; Calvente Lopez S.; Calvetti M.; Camarda S.; Camarri P.; Campoverde A.; Canale V.; Cantero J.; Capeans Garrido M. D. M.; Caprini I.; Caprini M.; Capua M.; Cardillo F. C.; Carli I.; Carquin E.; Carrá S.; Casado M. P.; Castillo F. L.; Castillo Gimenez V.; Castro N. F.; Caudron J.; Cavasinni V.; Cerda Alberich L.; Cerqueira A. S.; Cerri A.; Chargeishvili B.; Chelstowska M. A.; Chen C.; Chen C. H.; Chen H.; Cheng H. C.; Cheremushkina E.; Cherkaoui El Moursli R.; Chevalier L.; Chiarella V.; Chiodini G.; Chu M. C.; Chudoba J.; Chwastowski J. J.; Chytka L.; Cinca D.; Cindro V.; Citron Z. H.; Coadou Y.; Cobal M.; Coccaro A.; Coimbra A. E. C.; Colasurdo L.; Conde Muiño P.; Coniavitis E.; Corrigan E. E.; Corriveau F.; Costa M. J.; Costanzo D.; Cottin G.; Cranmer K.; Cristinziani M.; Croft V.; Crosetti G.; Cueto A.; Czodrowski P.; Dabrowski W.; Dado T.; Dahbi S.; Dallapiccola C.; Danninger M.; Dao V.; Darbo G.; Davey W.; David C.; Davidek T.; De Cecco S.; De la Torre H.; De Maria A.; De Sanctis U.; De Santis M.; De Vivie De Regie J. B.; Deliot F.; Delitzsch C. M.; Della Pietra M.; Dell’acqua A.; Delsart P. A.; Demarco D. A.; Derendarz D.; Dervan P.; Di Bello F. A.; Di Ciaccio A.; Di Ciaccio L.; Diaconu C.; Dias F. A.; Dias Do Vale T.; Dietrich J.; Dittus F.; Djama F.; Djobava T.; Doglioni C.; Doyle A. T.; Duckeck G.; Ducu O. A.; Duda D.; Duperrin A.; Duran Yildiz H.; Durglishvili A.; Dyndal M.; Dziedzic B. S.; Ellert M.; Ellinghaus F.; Ellis N.; Elsing M.; Erdmann J.; Ereditato A.; Escalier M.; Escobar C.; Estrada Pastor O.; Evans H.; Ezhilov A.; Ezzi M.; Fabbri F.; Fabiani V.; Faisca Rodrigues Pereira R. M.; Falke P. J.; Falke S.; Faltova J.; Fanti M.; Farbin A.; Farina E. M.; Farooque T.; Farrington S. M.; Fassi F.; Faucci Giannelli M.; Fawcett W. J.; Feligioni L.; Feng C.; Ferreira de Lima D. E.; Ferrere D.; Filthaut F.; Fiorini L.; Fisher W. C.; Fleck I.; Flores L. M.; Formica A.; Fox H.; Francavilla P.; Franchini M.; Franklin M.; Freund B.; Fullana Torregrosa E.; Gadow P.; Gagnon L. G.; Gamboa Goni R.; García Navarro J. E.; García Pascual J. A.; Gee C. N. P.; Genest M. 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A.; Hoya J.; Hrynevich A.; Hubaut F.; Hunter R. F. H.; Iacobucci G.; Iliadis D.; Introzzi G.; Ippolito V.; Isacson M. F.; Islam W.; Istin S.; Iuppa R.; Jackson P.; Jakobsen S.; Jakoubek T.; Jana D. K.; Jansky R.; Janssen J.; Jeanneau F.; Jeanty L.; Jia J.; Jiggins S.; Jinnouchi O.; Jon-And K.; Jones R. W. L.; Jones S. D.; Jones S.; Jorge P. M.; Jovicevic J.; Ju X.; Junggeburth J. J.; Juste Rozas A.; Kaczmarska A.; Kar D.; Karentzos E.; Karpov S. N.; Karpova Z. M.; Kay E. F.; Kazanin V. F.; Keeler R.; Kempster J. J.; Kendrick J.; Kharlamova T.; Khoo T. J.; Khramov E.; Kirk J.; Kiryunin A. E.; Klimek P.; Knue A.; Kodys P.; Koffas T.; König A. C.; Kono T.; Konoplich R.; Konstantinidis N.; Korcyl K.; Koulouris A.; Kourkoumelis C.; Kourlitis E.; Kouskoura V.; Kowalewski R.; Krasnopevtsev D.; Krauss D.; Kretzschmar J.; Kroll J.; Kruchonak U.; Kugel A.; Kukla R.; Kulchitsky Y.; Kupco A.; Kurchaninov L. L.; Kuwertz E. S.; Kuze M.; La Rosa A.; La Rosa Navarro J. L.; La Rotonda L.; Lacasta C.; Lafaye R.; Landon M. P. J.; Lange J. C.; Lapertosa A.; Lari T.; Lassnig M.; Lazzaroni M.; Leblanc M.; Lee C. A.; Lee G. R.; Lefebvre B.; Legger F.; Leight W. A.; Leisos A.; Leite M. A. L.; Leney K. J. C.; Leone R.; Leonidopoulos C.; Leroy C.; Les R.; Lester C. G.; Levchenko M.; Li B.; Li H.; Lie K.; Lin C. Y.; Lipniacka A.; Lisovyi M.; Lister A.; Litke A. M.; Little J. D.; Liu B.; Liu B. L.; Liu H. B.; Liu H.; Livan M.; Lleres A.; Llorente Merino J.; Lloyd S. L.; Lobodzinska E. M.; Loch P.; Lohwasser K.; Lokajicek M.; Longo L.; Lopez J. A.; Lorenzo Martinez N.; Losada M.; Lozano Bahilo J. J.; Luci C.; Lucotte A.; Luehring F.; Lysak R.; Macdonald C. M.; Madar R.; Madysa N.; Maeda J.; Maevskiy A. S.; Majersky O.; Makida Y.; Makovec N.; Maleev V. P.; Mamuzic J.; Mancini G.; Maneira J.; Manjarres Ramos J.; Mankinen K. H.; Manousos A.; Manzoni S.; March L.; Marcisovsky M.; Marjanovic M.; Marti-Garcia S.; Martin C. B.; Martin T. A.; Martin V. J.; Martin-Haugh S.; Marzin A.; Masetti L.; Massa L.; Massarotti P.; Mastrandrea P.; Mastroberardino A.; Masubuchi T.; Mazza S. M.; McLean K. D.; McNamara P. C.; McPherson R. A.; Meirose B.; Mellado Garcia B. R.; Mellenthin J. D.; Melo M.; Meloni F.; Mendes Gouveia E. D.; Mengarelli A.; Meoni E.; Messina A.; Mete A. S.; Mijović L.; Mikestikova M.; Millar D. A.; Mindur B.; Mistry K. P.; Mkrtchyan T.; Mogg P.; Mohapatra S.; Monk J.; Montejo Berlingen J.; Monzani S.; Morange N.; Moreno D.; Morettini P.; Morii M.; Morley A. K.; Morvaj L.; Moyse E. J. W.; Mueller F.; Mullier G. A.; Munoz Sanchez F. J.; Murray W. J.; Murrone A.; Nagasaka Y.; Nairz A. M.; Nanjo H.; Napolitano F.; Naryshkin I.; Neep T. J.; Negrini M.; Nelson M. E.; Nemecek S.; Nielsen D. S.; Nikiforou N.; Nikolopoulos K.; Nisati A.; Nishu N.; Nobe T.; Novak T.; Ntekas K.; Ocariz J.; Ochoa-Ricoux J. P.; Oda S.; Ohm C. C.; Oide H.; Okazaki Y.; Oliveira Damazio D.; Oliver J. L.; Olszewski A.; Olszowska J.; Onofre A.; Onyisi P. U. E.; Oreglia M. J.; Orestano D.; Orlando N.; Ould-Saada F.; Ozturk N.; Pachal K.; Pacheco Pages A.; Padilla Aranda C.; Palestini S.; Palka M.; Panduro Vazquez J. G.; Panizzo G.; Pasuwan P.; Pathak A.; Pedro R.; Peleganchuk S. V.; Penc O.; Perini L.; Peters K.; Petersen B. A.; Petrucci F.; Pezoa R.; Pham T.; Pianori E.; Pilkington A. D.; Pleskot V.; Poggi R.; Policicchio A.; Pollard C. S.; Ponomarenko D.; Potter C. J.; Potti H.; Poulsen T.; Poveda J.; Pralavorio P.; Primavera M.; Prince S.; Proklova N.; Prokoshin F.; Przybycien M.; Puri A.; Qian J.; Queitsch-Maitland M.; Ragusa F.; Raine J. A.; Rauch D. M.; Ravina B.; Reale M.; Rebuzzi D. M.; Redlinger G.; Reeves K.; Reichert J.; Resconi S.; Resseguie E. D.; Ricci E.; Ridel M.; Rieck P.; Rifki O.; Rimoldi A.; Ripellino G.; Rivera Vergara J. C.; Roberts R. T.; Robinson D.; Robson A.; Rocco E.; Roda C.; Rodriguez Bosca S.; Rodriguez Perez A.; Roland C. P. A.; Roloff J.; Romaniouk A.; Romano M.; Rompotis N.; Roos L.; Rosati S.; Rosbach K.; Rotaru M.; Roy D.; Rozen Y.; Rurikova Z.; Russell H. L.; Ryu S.; Ryzhov A.; Sabatini P.; Saimpert M.; Saito M.; Salazar Loyola J. E.; Salvatore D.; Salvucci A.; Sammel D.; Sanchez Pineda A.; Sankey D. P. C.; Santra A.; Sasaki O.; Sato K.; Sauvan E.; Sawyer C.; Schaefer D.; Schildgen L. K.; Schioppa E. J.; Schioppa M.; Schmidt-Sommerfeld K. R.; Schmitt C.; Schmitt S.; Schoeffel L.; Schopf E.; Schouwenberg J. F. P.; Schramm S.; Schwarz T. A.; Sciandra A.; Scornajenghi M.; Scyboz L. M.; Searcy J.; Sebastiani C. D.; Senkin S.; Serkin L.; Sessa M.; Sforza F.; Sfyrla A.; Shabalina E.; Shahinian J. D.; Shaikh N. W.; Shapiro M.; Sharma A. S.; Shi L.; Shimojima M.; Shojaii S.; Simioni E.; Simon M.; Sioli M.; Siral I.; Sliwa K.; Smirnov N.; Smirnov S. Y.; Smirnov Y.; Smirnova L. N.; Smith J. W.; Smolek K.; Smykiewicz A.; Snyder I. M.; Solovyev V.; Sommer P.; Son H.; Song W.; Sopczak A.; Sotiropoulou C. L.; Soualah R.; Sowden B. C.; Spagnolo S.; Spieker T. M.; Stabile A.; Stanecka E.; Stanislaus B.; Stark G. H.; Starovoitov P.; Stärz S.; Staszewski R.; Stevenson T. J.; Stolte P.; Straessner A.; Strandberg J.; Strizenec P.; Stucci S. A.; Stugu B.; Stupak J.; Sullivan M. J.; Sumida T.; Svatos M.; Swiatlowski M.; Sykora I.; Ta D.; Tahirovic E.; Takai H.; Tapia Araya S.; Tartarelli G. F.; Tassi E.; Taylor A. C.; Taylor A. J.; Terashi K.; Terron J.; Terzo S.; Thiele F.; Thompson A. S.; Thomson E.; Tian Y.; Ticse Torres R. E.; Tikhomirov V. O; Tisserant S.; Tokushuku K.; Tomiwa K. G.; Torró Pastor E.; Toth J.; Trigger I. M.; Trincaz-Duvoid S.; Trocmé B.; Trofymov A.; Troncon C.; Trovato F.; Truong L.; Trzebinski M.; Tsai F.; Tsuno S.; Tu Y.; Tudorache A.; Tudorache V.; Turra R.; Tzovara E.; Ughetto M.; Unal G.; Ungaro F. C.; Urquijo P.; Vadla K. O. H.; Vaidya A.; Valente M.; Valero A.; Valéry L.; Van Daalen T. R.; Van Gemmeren P.; Van Vulpen I.; Vanadia M.; Vari R.; Varvell K. E.; Vazquez Furelos D.; Veloso F.; Veneziano S.; Ventura A.; Vercesi V.; Verducci M.; Vermeulen A. T.; Vetterli M. C.; Viaux Maira N.; Vickey T.; Vickey Boeriu O. E.; Villa M.; Vincter M. G.; Vivarelli I.; Vlachos S.; von Buddenbrock S. E.; Vorobel V.; Vos M.; Vranjes N.; Vranjes Milosavljevic M.; Vukotic I.; Walder J.; Walkowiak W.; Wang A. M.; Wang C.; Wanotayaroj C.; Warburton A.; Wardrope D. R.; Watkins P. M.; Watts G.; Weber C.; Weber M. S.; Weber S. A.; Weingarten J.; Weirich M.; Weiser C.; Wenaus T.; Wengler T.; Werner M. D.; Werner P.; Whalen K.; Wickens F. J.; Wielers M.; Wiglesworth C.; Willocq S.; Winkels E.; Winklmeier F.; Winter B. T.; Wolf A.; Wolter M. W.; Wolters H.; Worm S. D.; Woźniak K. W.; Wu M.; Wu S. L.; Wu X.; Xella S.; Xi Z.; Xu D.; Xu H.; Yabsley B.; Yacoob S.; Yamaguchi D.; Yamazaki T.; Yang H. J.; Yang H. T.; Yap Y. C.; Yigitbasi E.; Yorita K.; Yu J.; Zaidan R.; Zakareishvili T.; Zakharchuk N.; Zanzi D.; Zhang D. F.; Zhang D.; Zhang F.; Zhao P.; Zhemchugov A.; Zhou B.; Zhu C. G.; Zoch K.; Zorbas T. G.;We thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; CONICYT, Chile; CAS, MOST and NSFC, China; COLCIENCIAS, Colombia; MSMT CR, MPO CR and VSC CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS, CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF, and MPG, Germany; GSRT, Greece; RGC, Hong Kong SAR, China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MNiSW and NCN, Poland; FCT, Portugal; MNE/IFA, Romania; MES of Russia and NRC KI, Russian Federation; JINR; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZS, Slovenia; DST/NRF, South Africa; MINECO, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, United Kingdom; DOE and NSF, United States of America. In addition, individual groups and members have received support from BCKDF, CANARIE, CRC and Compute Canada, Canada; COST, ERC, ERDF, Horizon 2020, and Marie Sklodowska-Curie Actions, European Union; Investissements d' Avenir Labex and Idex, ANR, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, Greece; BSF-NSF and GIF, Israel; CERCA Programme Generalitat de Catalunya, Spain; The Royal Society and Leverhulme Trust, United Kingdom. The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, the ATLAS Tier-1 facilities at TRIUMF (Canada), NDGF(Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (Netherlands), PIC (Spain), ASGC (Taiwan), RAL (UK) and BNL (USA), the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of comp Measurements of the azimuthal anisotropy in lead–lead collisions at sNN−−−√ = 5.02 TeV are presented using a data sample corresponding to 0.49 nb−1 integrated luminosity collected by the ATLAS experiment at the LHC in 2015. The recorded minimum-bias sample is enhanced by triggers for “ultra-central” collisions, providing an opportunity to perform detailed study of flow harmonics in the regime where the initial state is dominated by fluctuations. The anisotropy of the charged-particle azimuthal angle distributions is characterized by the Fourier coefficients, v2–v7, which are measured using the two-particle correlation, scalar-product and event-plane methods. The goal of the paper is to provide measurements of the differential as well as integrated flow harmonics vn over wide ranges of the transverse momentum, 0.5
CORE (RIOXX-UK Aggre... arrow_drop_down Archivio Istituzionale della Ricerca- Università del Salento; Archivio della Ricerca - Università degli Studi Roma Tre; Archivio della Ricerca - Università di Pisa; LAReferencia - Red Federada de Repositorios Institucionales de Publicaciones Científicas Latinoamericanas; European Physical Journal C: Particles and Fields; Archivio della Ricerca - Università di Roma Tor vergata; Archivio Istituzionale della Ricerca dell'Università degli Studi di Milano; Archivio della ricerca - Università degli studi di Napoli Federico II; Archivio istituzionale della ricerca - Università degli Studi di Udine; IRIS - Institutional Research Information System of the University of Trento; Archivio Istituzionale dell'Università della CalabriaArticle . 2018License: CC BYData sources: Archivio Istituzionale della Ricerca- Università del Salento; Archivio della Ricerca - Università degli Studi Roma Tre; Archivio della Ricerca - Università di Pisa; Crossref; LAReferencia - Red Federada de Repositorios Institucionales de Publicaciones Científicas Latinoamericanas; Archivio della Ricerca - Università di Roma Tor vergata; Archivio Istituzionale della Ricerca dell'Università degli Studi di Milano; Archivio della ricerca - Università degli studi di Napoli Federico II; Archivio istituzionale della ricerca - Università degli Studi di Udine; IRIS - Institutional Research Information System of the University of Trento; Archivio Istituzionale dell'Università della CalabriaRecolector de Ciencia Abierta, RECOLECTA; Dipòsit Digital de Documents de la UABArticle . 2018License: CC BYUniversidade do Minho: RepositoriUMOther literature type . 2018Data sources: Universidade do Minho: RepositoriUMGiresun University Institutional RepositoryArticle . 2018Data sources: Giresun University Institutional RepositoryArchivio della Ricerca - Università degli Studi Roma TreArticle . 2018Data sources: Archivio della Ricerca - Università degli Studi Roma TreArchivio della Ricerca - Università di PisaArticle . 2018Data sources: Archivio della Ricerca - Università di PisaRecolector de Ciencia Abierta, RECOLECTAArticleData sources: Recolector de Ciencia Abierta, RECOLECTACopenhagen University Research Information SystemArticle . 2018Data sources: Copenhagen University Research Information SystemArchivio della Ricerca - Università di Roma Tor vergataArticle . 2018Data sources: Archivio della Ricerca - Università di Roma Tor vergataHAL - UPEC / UPEM; HAL-Pasteur; HAL-Inserm; Hal-DiderotArticle . 2018add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu45 citations 45 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!visibility 30visibility views 30 download downloads 50 Powered bymore_vert CORE (RIOXX-UK Aggre... arrow_drop_down Archivio Istituzionale della Ricerca- Università del Salento; Archivio della Ricerca - Università degli Studi Roma Tre; Archivio della Ricerca - Università di Pisa; LAReferencia - Red Federada de Repositorios Institucionales de Publicaciones Científicas Latinoamericanas; European Physical Journal C: Particles and Fields; Archivio della Ricerca - Università di Roma Tor vergata; Archivio Istituzionale della Ricerca dell'Università degli Studi di Milano; Archivio della ricerca - Università degli studi di Napoli Federico II; Archivio istituzionale della ricerca - Università degli Studi di Udine; IRIS - Institutional Research Information System of the University of Trento; Archivio Istituzionale dell'Università della CalabriaArticle . 2018License: CC BYData sources: Archivio Istituzionale della Ricerca- Università del Salento; Archivio della Ricerca - Università degli Studi Roma Tre; Archivio della Ricerca - Università di Pisa; Crossref; LAReferencia - Red Federada de Repositorios Institucionales de Publicaciones Científicas Latinoamericanas; Archivio della Ricerca - Università di Roma Tor vergata; Archivio Istituzionale della Ricerca dell'Università degli Studi di Milano; Archivio della ricerca - Università degli studi di Napoli Federico II; Archivio istituzionale della ricerca - Università degli Studi di Udine; IRIS - Institutional Research Information System of the University of Trento; Archivio Istituzionale dell'Università della CalabriaRecolector de Ciencia Abierta, RECOLECTA; Dipòsit Digital de Documents de la UABArticle . 2018License: CC BYUniversidade do Minho: RepositoriUMOther literature type . 2018Data sources: Universidade do Minho: RepositoriUMGiresun University Institutional RepositoryArticle . 2018Data sources: Giresun University Institutional RepositoryArchivio della Ricerca - Università degli Studi Roma TreArticle . 2018Data sources: Archivio della Ricerca - Università degli Studi Roma TreArchivio della Ricerca - Università di PisaArticle . 2018Data sources: Archivio della Ricerca - Università di PisaRecolector de Ciencia Abierta, RECOLECTAArticleData sources: Recolector de Ciencia Abierta, RECOLECTACopenhagen University Research Information SystemArticle . 2018Data sources: Copenhagen University Research Information SystemArchivio della Ricerca - Università di Roma Tor vergataArticle . 2018Data sources: Archivio della Ricerca - Università di Roma Tor vergataHAL - UPEC / UPEM; HAL-Pasteur; HAL-Inserm; Hal-DiderotArticle . 2018add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2018 Switzerland, Italy, France, Italy, United KingdomOxford University Press (OUP) EC | OPTICON, EC | OPTICONEC| OPTICON ,EC| OPTICONAlice Zurlo; Dino Mesa; Silvano Desidera; Sergio Messina; Raffaele Gratton; Claire Moutou; Jean-Luc Beuzit; Beth Biller; Anthony Boccaletti; Mariangela Bonavita; Mickael Bonnefoy; Tanmay Bhowmik; Wolfgang Brandner; Esther Buenzli; Gael Chauvin; M. Cudel; Valentina D'Orazi; Markus Feldt; Janis Hagelberg; Markus Janson; Anne-Marie Lagrange; Maud Langlois; J. Lannier; Baptiste Lavie; C. Lazzoni; Anne-Lise Maire; Matthias Meyer; David Mouillet; S. Peretti; Clément Perrot; P. J. Potiron; Graeme Salter; T. Schmidt; E. Sissa; Arthur Vigan; Alain Delboulbé; C. Petit; Jose Ramos; F. Rigal; Sylvain Rochat;We present observations with the planet finder Spectro-Polarimetric High-contrast Exoplanet REsearch (SPHERE) of a selected sample of the most promising radial velocity (RV) companions for high-contrast imaging. Using a Monte Carlo simulation to explore all the possible inclinations of the orbit of wide RV companions, we identified the systems with companions that could potentially be detected with SPHERE. We found the most favourable RV systems to observe are: HD 142, GJ 676, HD 39091, HIP 70849, and HD 30177 and carried out observations of these systems during SPHERE Guaranteed Time Observing. To reduce the intensity of the starlight and reveal faint companions, we used principal component analysis algorithms alongside angular and spectral differential imaging. We injected synthetic planets with known flux to evaluate the self-subtraction caused by our data reduction and to determine the 5σ contrast in the J band versus separation for our reduced images. We estimated the upper limit on detectable companion mass around the selected stars from the contrast plot obtained from our data reduction. Although our observations enabled contrasts larger than 15 mag at a few tenths of arcsec from the host stars, we detected no planets. However, we were able to set upper mass limits around the stars using AMES-COND evolutionary models. We can exclude the presence of companions more massive than 25–28 MJup around these stars, confirming the substellar nature of these RV companions. Monthly Notices of the Royal Astronomical Society, 480 (1) ISSN:0035-8711 ISSN:1365-2966
Research Collection arrow_drop_down OA@INAF - Istituto Nazionale di AstrofisicaArticle . 2018Data sources: OA@INAF - Istituto Nazionale di AstrofisicaHAL - UPEC / UPEM; HAL-Pasteur; HAL-Inserm; Hal-DiderotArticle . 2018https://doi.org/10.48550/arxiv...Article . 2018License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu16 citations 16 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Research Collection arrow_drop_down OA@INAF - Istituto Nazionale di AstrofisicaArticle . 2018Data sources: OA@INAF - Istituto Nazionale di AstrofisicaHAL - UPEC / UPEM; HAL-Pasteur; HAL-Inserm; Hal-DiderotArticle . 2018https://doi.org/10.48550/arxiv...Article . 2018License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 CanadaFrontiers Media SA NIH | ARTFL LEFFTDS Longitudina..., CIHRNIH| ARTFL LEFFTDS Longitudinal Frontotemporal Lobar Degeneration (ALLFTD) ,CIHRAuthors: Spyros Papapetropoulos; Spyros Papapetropoulos; Angela Pontius; Elizabeth Finger; +16 AuthorsSpyros Papapetropoulos; Spyros Papapetropoulos; Angela Pontius; Elizabeth Finger; Virginija Karrenbauer; Virginija Karrenbauer; David S. Lynch; Matthew Brennan; Samantha Zappia; Wolfgang Koehler; Ludger Schoels; Ludger Schoels; Stefanie N. Hayer; Stefanie N. Hayer; Takuya Konno; Takeshi Ikeuchi; Troy Lund; Jennifer Orthmann-Murphy; Florian Eichler; Zbigniew K. Wszolek;A comprehensive review of published literature was conducted to elucidate the genetics, neuropathology, imaging findings, prevalence, clinical course, diagnosis/clinical evaluation, potential biomarkers, and current and proposed treatments for adult-onset leukoencephalopathy with axonal spheroids and pigmented glia (ALSP), a rare, debilitating, and life-threatening neurodegenerative disorder for which disease-modifying therapies are not currently available. Details on potential efficacy endpoints for future interventional clinical trials in patients with ALSP and data related to the burden of the disease on patients and caregivers were also reviewed. The information in this position paper lays a foundation to establish an effective clinical rationale and address the clinical gaps for creation of a robust strategy to develop therapeutic agents for ALSP, as well as design future clinical trials, that have clinically meaningful and convergent endpoints.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu22 citations 22 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2015 FrancePublic Library of Science (PLoS) Volpov, Beth L.; Hoskins, Andrew J.; Battaile, Brian C.; Viviant, Morgane; Wheatley, Kathryn E.; Marshall, Greg; Abernathy, Kyler; Arnould, John P.Y.;International audience; This study investigated prey captures in free-ranging adult female Australian fur seals (Arctocephalus pusillus doriferus) using head-mounted 3-axis accelerometers and animal-borne video cameras. Acceleration data was used to identify individual attempted prey captures (APC), and video data were used to independently verify APC and prey types. Results demonstrated that head-mounted accelerometers could detect individual APC but were unable to distinguish among prey types (fish, cephalopod, stingray) or between successful captures and unsuccessful capture attempts. Mean detection rate (true positive rate) on individual animals in the testing subset ranged from 67-100%, and mean detection on the testing subset averaged across 4 animals ranged from 82-97%. Mean False positive (FP) rate ranged from 15-67% individually in the testing subset, and 26-59% averaged across 4 animals. Surge and sway had significantly greater detection rates, but also conversely greater FP rates compared to heave. Video data also indicated that some head movements recorded by the accelerometers were unrelated to APC and that a peak in acceleration variance did not always equate to an individual prey item. The results of the present study indicate that head-mounted accelerometers provide a complementary tool for investigating foraging behaviour in pinnipeds, but that detection and FP correction factors need to be applied for reliable field application.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu50 citations 50 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2020 CanadaResearch Square Platform LLC Susan Hunter; Alison Divine; Humberto Omana; Edward Madou; Jeffrey Holmes;Abstract Background Balance and gait problems are common and progressive in dementia. Use of a mobility aid provides physical support and confidence. Yet, mobility aid use in people with dementia increases falls three-fold. An assessment tool of mobility aid safety in people with dementia does not currently exist. The objectives of this study were: 1) to develop a tool for the evaluation of physical function and safe use of a 4-wheeled walker in people with dementia, and 2) to evaluate its construct and criterion validity, inter-rater and test-retest reliability and minimal detectable change. Methods Healthcare professionals (HCP) experienced in rehabilitation of people with dementia participated in focus groups for item generation of the new tool, The Safe Use of Mobility Aid Checklist (SUMAC). The SUMAC evaluates physical function (PF) and safe use of the equipment (EQ) on nine tasks of daily life. Reliability was evaluated by HCP (n = 5) scored participant videos of people with dementia (n = 10) using a 4-wheeled walker performing the SUMAC. Inter-rater and test-retest reliability was assessed using intra-class correlation coefficients (ICC). Construct validity evaluated scores of the HCPs to a consensus HCP panel using Spearman’s rank-order correlations. Criterion validity evaluated SUMAC-PF to the Performance-Oriented Mobility Assessment (POMA) gait subscale using Spearman’s rank-order correlations. Results Three focus groups (n = 17) generated a tool comprised of nine tasks and the components within each task for physical function and safe use. Inter-rater reliability was statistically significant for SUMAC-PF (ICC = 0.92, 95%CI (0.81, 0.98), p < 0.001) and SUMAC-EQ. (ICC = 0.82, 95%CI (0.54, 0.95), p < 0.001). Test-retest reliability was statistically significant for SUMAC-PF (ICC = 0.89, 95%CI (0.81, 0.94), p < 0.001) and SUMAC-EQ. (ICC = 0.88, 95%CI (0.79, 0.93), p < 0.001). As hypothesized, the POMA gait subscale correlated strongly with the SUMAC-PF (rs = 0.84), but not EQ (rs = 0.39). Conclusions The focus groups and research team developed a tool of nine tasks with evaluation on physical function and safe use of a 4-wheeled walker for people with dementia. The SUMAC tool has demonstrated content validity for the whole scale and good construct and criterion validity for the SUMAC-PF and SUMAC-EQ. The subscores of the SUMAC demonstrated excellent to good inter-rater and test-retest reliability.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu3 citations 3 popularity Average influence Average impulse Average Powered by BIP!visibility 2visibility views 2 download downloads 12 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Preprint , Article , Other literature type 2021 France, United KingdomOxford University Press (OUP) UKRI | STFC Hertfordshire 2017 D..., UKRI | UK Involvement in LSST: P..., UKRI | DiRAC2: 100 Tflop/s HPC c... +3 projectsUKRI| STFC Hertfordshire 2017 DTP ,UKRI| UK Involvement in LSST: Phase B ,UKRI| DiRAC2: 100 Tflop/s HPC cluster procurement ,UKRI| DiRAC 2.5 Operations 2017-2020 ,UKRI| The DiRAC 2.5x Facility ,UKRI| STFC Hertfordshire 2015 DTPR. A. Jackson; Garreth Martin; Sugata Kaviraj; Marius Ramsoy; Julien Devriendt; Thomas M. Sedgwick; Clotilde Laigle; Hoseung Choi; R. S. Beckmann; Marta Volonteri; Yohan Dubois; Christophe Pichon; Sukyoung K. Yi; Adrianne Slyz; K. Kraljic; Taysun Kimm; Sébastien Peirani; Ivan K. Baldry;Low-surface-brightness galaxies (LSBGs) -- defined as systems that are fainter than the surface-brightness limits of past wide-area surveys -- form the overwhelming majority of galaxies in the dwarf regime (M* < 10^9 MSun). Using NewHorizon, a high-resolution cosmological simulation, we study the origin of LSBGs and explain why LSBGs at similar stellar mass show the large observed spread in surface brightness. New Horizon galaxies populate a well-defined locus in the surface brightness -- stellar mass plane, with a spread of ~3 mag arcsec^-2, in agreement with deep SDSS Stripe data. Galaxies with fainter surface brightnesses today are born in regions of higher dark-matter density. This results in faster gas accretion and more intense star formation at early epochs. The stronger resultant supernova feedback flattens gas profiles at a faster rate which, in turn, creates shallower stellar profiles (i.e. more diffuse systems) more rapidly. As star formation declines towards late epochs (z<1), the larger tidal perturbations and ram pressure experienced by these systems (due to their denser local environments) accelerate the divergence in surface brightness, by increasing their effective radii and reducing star formation respectively. A small minority of dwarfs depart from the main locus towards high surface brightnesses, making them detectable in past wide surveys. These systems have anomalously high star-formation rates, triggered by recent, fly-by or merger-driven starbursts. We note that objects considered extreme/anomalous at the depth of current datasets, e.g. `ultra-diffuse galaxies', actually dominate the predicted dwarf population and will be routinely visible in future surveys like LSST. 16 pages, 15 figures, Accepted for publication in MNRAS
CORE (RIOXX-UK Aggre... arrow_drop_down CORE (RIOXX-UK Aggregator)ArticleLicense: rioxx All Rights ReservedData sources: CORE (RIOXX-UK Aggregator)Oxford University Research ArchiveOther literature type . 2021License: CC BYData sources: Oxford University Research ArchiveMonthly Notices of the Royal Astronomical SocietyArticle . 2021License: OUP Standard Publication ReuseData sources: CrossrefMémoires en Sciences de l'Information et de la CommunicationPreprint . 2021https://doi.org/10.48550/arxiv...Article . 2020License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu29 citations 29 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 2visibility views 2 download downloads 7 Powered bymore_vert CORE (RIOXX-UK Aggre... arrow_drop_down CORE (RIOXX-UK Aggregator)ArticleLicense: rioxx All Rights ReservedData sources: CORE (RIOXX-UK Aggregator)Oxford University Research ArchiveOther literature type . 2021License: CC BYData sources: Oxford University Research ArchiveMonthly Notices of the Royal Astronomical SocietyArticle . 2021License: OUP Standard Publication ReuseData sources: CrossrefMémoires en Sciences de l'Information et de la CommunicationPreprint . 2021https://doi.org/10.48550/arxiv...Article . 2020License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2021 CanadaElsevier BV Aras Kayvanrad; Stephen R. Arnott; Nathan W. Churchill; Stefanie Hassel; Aditi Chemparathy; Fan Dong; Mojdeh Zamyadi; Tom Gee; Robert Bartha; Sandra E. Black; Jane M. Lawrence-Dewar; Christopher J.M. Scott; Sean P. Symons; Andrew D. Davis; Geoffrey B. Hall; Jacqueline K. Harris; Nancy J. Lobaugh; Glenda MacQueen; Cindy Woo; Stephen C. Strother;pmid: 34029737
Quality assurance (QA) is crucial in longitudinal and/or multi-site studies, which involve the collection of data from a group of subjects over time and/or at different locations. It is important to regularly monitor the performance of the scanners over time and at different locations to detect and control for intrinsic differences (e.g., due to manufacturers) and changes in scanner performance (e.g., due to gradual component aging, software and/or hardware upgrades, etc.). As part of the Ontario Neurodegenerative Disease Research Initiative (ONDRI) and the Canadian Biomarker Integration Network in Depression (CAN-BIND), QA phantom scans were conducted approximately monthly for three to four years at 13 sites across Canada with 3T research MRI scanners. QA parameters were calculated for each scan using the functional Biomarker Imaging Research Network's (fBIRN) QA phantom and pipeline to capture between- and within-scanner variability. We also describe a QA protocol to measure the full-width-at-half-maximum (FWHM) of slice-wise point spread functions (PSF), used in conjunction with the fBIRN QA parameters. Variations in image resolution measured by the FWHM are a primary source of variance over time for many sites, as well as between sites and between manufacturers. We also identify an unexpected range of instabilities affecting individual slices in a number of scanners, which may amount to a substantial contribution of unexplained signal variance to their data. Finally, we identify a preliminary preprocessing approach to reduce this variance and/or alleviate the slice anomalies, and in a small human data set show that this change in preprocessing can have a significant impact on seed-based connectivity measurements for some individual subjects. We expect that other fMRI centres will find this approach to identifying and controlling scanner instabilities useful in similar studies.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu5 citations 5 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2000 FranceElsevier BV Authors: Everett, Hazel; Hoang, C.T.; Kilakos, K.; Noy, M.;Everett, Hazel; Hoang, C.T.; Kilakos, K.; Noy, M.;Article dans revue scientifique avec comité de lecture.; Given a set of n disjoint line segments in the plane, the segment visibility graph is the graph whose $2n$ vertices correspond to the endpoints of the line segments and whose edges connect every pair of vertices whose corresponding endpoints can see each other. In this paper we characterize and provide a polynomial time recognition algorithm for planar segment visibility graphs. Actually, we caracterize segment visibility graphs that do not contain the complete graph on 5 vertices as a minor, qnd show that this class is the same as the class of planar segment visibility graphs. We use and prove the fact that every segment visibility graph contains the complete graph on 4 vertices as a subgraph. In fact, we prove a stronger result: every set of n line segments determines at least n-3 empty convex quadrilaterals.
Computational Geomet... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu7 citations 7 popularity Average influence Average impulse Average Powered by BIP!more_vert Computational Geomet... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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description Publicationkeyboard_double_arrow_right Article , Preprint 2020Embargo end date: 01 Jan 2020 FrancearXiv Roueff, Antoine; Gerin, Maryvonne; Gratier, Pierre; Levrier, François; Pety, Jérôme; Gaudel, Mathilde; Goicoechea, Javier,; Orkisz, Jan; De Souza Magalhaes, Victor; Vono, Maxime; Bardeau, Sébastien; Bron, Emeric; Chanussot, Jocelyn; Chainais, Pierre; Guzman, Viviana; Hughes, Annie; Kainulainen, Jouni; Languignon, David; Le Bourlot, Jacques; Le Petit, Franck; Liszt, Harvey; marchal, antoine; Miville-Deschênes, Marc-Antoine; Peretto, Nicolas; Roueff, Evelyne; Sievers, Albrecht;CO isotopologue transitions are routinely observed in molecular clouds to probe the column density of the gas, the elemental ratios of carbon and oxygen, and to trace the kinematics of the environment. We aim at estimating the abundances, excitation temperatures, velocity field and velocity dispersions of the three main CO isotopologues towards a subset of the Orion B molecular cloud. We use the Cramer Rao Bound (CRB) technique to analyze and estimate the precision of the physical parameters in the framework of local-thermodynamic-equilibrium excitation and radiative transfer with an additive white Gaussian noise. We propose a maximum likelihood estimator to infer the physical conditions from the 1-0 and 2-1 transitions of CO isotopologues. Simulations show that this estimator is unbiased and efficient for a common range of excitation temperatures and column densities (Tex > 6 K, N > 1e14 - 1e15 cm-2). Contrary to the general assumptions, the different CO isotopologues have distinct excitation temperatures, and the line intensity ratios between different isotopologues do not accurately reflect the column density ratios. We find mean fractional abundances that are consistent with previous determinations towards other molecular clouds. However, significant local deviations are inferred, not only in regions exposed to UV radiation field but also in shielded regions. These deviations result from the competition between selective photodissociation, chemical fractionation, and depletion on grain surfaces. We observe that the velocity dispersion of the C18O emission is 10% smaller than that of 13CO. The substantial gain resulting from the simultaneous analysis of two different rotational transitions of the same species is rigorously quantified. The CRB technique is a promising avenue for analyzing the estimation of physical parameters from the fit of spectral lines. 27 pages, 23 PDF figures. Accepted for publication in A&A. Uses aa latex macro
arXiv.org e-Print Ar... arrow_drop_down https://doi.org/10.48550/arxiv...Article . 2020License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert arXiv.org e-Print Ar... arrow_drop_down https://doi.org/10.48550/arxiv...Article . 2020License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2021 Denmark, Sweden, France, Netherlands, Denmark, Denmark, Sweden, United Kingdom, United Kingdom, FranceWiley NIH | Heart Failure Clinical Tr..., EC | inHForm, NIH | UCLA Clinical Translation... +10 projectsNIH| Heart Failure Clinical Trials Network ,EC| inHForm ,NIH| UCLA Clinical Translational Science Institute ,NIH| Renal Sympathetic Denervation in Congestive Heart Failure ,EC| BigData Heart ,NIH| Heart Failure Clinical Research Network Coordinating Center ,NIH| Genomics of Cardiac Arrhythmias ,NIH| SALsalate to Improve Exercise toleraNce and LVDD in T2dm-DHF (SALIENT-DHF trial) ,NIH| Heart Failure Clinical Research Network Regional Clinical Center (U10) ,NIH| Mayo Heart Failure Regional Clinical Center ,NIH| Harvard Regional Clinical Center of the NHLBI Heart Failure Network ,NIH| Mid Atlantic Heart Failure Network ,NIH| New England, New York and Quebec Regional Clinical CenterR. Thomas Lumbers; Sonia Shah; Honghuang Lin; Tomasz Czuba; Albert Henry; Daniel I. Swerdlow; Anders Mälarstig; Charlotte Andersson; Niek Verweij; Michael V. Holmes; Johan Ärnlöv; Per H. Svensson; Harry Hemingway; Neneh Sallah; Peter Almgren; Krishna G. Aragam; Géraldine Asselin; Joshua D. Backman; Mary L. Biggs; Heather L. Bloom; Eric Boersma; Jeffrey Brandimarto; Michael R. Brown; Hans-Peter Brunner-La Rocca; David J. Carey; Mark Chaffin; Daniel I. Chasman; Olympe Chazara; Xing Chen; Xu Chen; Jonathan H. Chung; William A. Chutkow; John G.F. Cleland; James P. Cook; Simon de Denus; Graciela E. Delgado; Spiros Denaxas; Alex S. F. Doney; Marcus Dörr; Samuel C. Dudley; Gunnar Engström; Ghazaleh Fatemifar; Chris Finan; Ian Ford; Francoise Fougerousse; René Fouodjio; Mohsen Ghanbari; Vilmantas Giedraitis; Franco Giulianini; John S. Gottdiener; Stefan Gross; Daníel F. Guðbjartsson; Hongsheng Gui; Rebecca Gutmann; Christopher M. Haggerty; Pim van der Harst; Åsa K. Hedman; Anna Helgadottir; Hans L. Hillege; Craig L. Hyde; Jaison Jacob; J. Wouter Jukema; Frederick K. Kamanu; Isabella Kardys; Maryam Kavousi; Kay-Tee Khaw; Marcus E. Kleber; Lars Køber; Andrea Koekemoer; Bill Kraus; Karoline Kuchenbaecker; Claudia Langenberg; Lars Lind; Cecilia M. Lindgren; Barry London; Luca A. Lotta; Ruth C. Lovering; Jian'an Luan; Patrik K. E. Magnusson; Anubha Mahajan; Douglas L. Mann; Kenneth B. Margulies; Nicholas A Marston; Winfried März; John J.V. McMurray; Olle Melander; Giorgio E. M. Melloni; Ify R. Mordi; Michael Morley; Andrew D. Morris; Andrew P. Morris; Alanna C. Morrison; Michael W. Nagle; Christopher P. Nelson; Christopher Newton-Cheh; Alexander Niessner; Teemu J. Niiranen; Christoph Nowak; Michelle L. O'Donoghue; Anjali T. Owens; Colin N. A. Palmer; Guillaume Paré; Markus Perola; Louis Philippe Lemieux Perreault; Eliana Portilla-Fernandez; Kenneth Rice; Paul M. Ridker; Simon P. R. Romaine; Carolina Roselli; Jerome I. Rotter; Christian T. Ruff; Marc S. Sabatine; Perttu Salo; Veikko Salomaa; Jessica van Setten; Alaa Shalaby; Diane T. Smelser; Nicholas L. Smith; Kari Stefansson; Steen Stender; David J. Stott; G Sveinbjörnsson; Mari Liis Tammesoo; Jean-Claude Tardif; Kent D. Taylor; Maris Teder-Laving; Alexander Teumer; Guðmundur Thorgeirsson; Unnur Thorsteinsdottir; Christian Torp-Pedersen; Stella Trompet; Danny Tuckwell; Benoit Tyl; André G. Uitterlinden; Felix Vaura; Abirami Veluchamy; Peter M. Visscher; Uwe Völker; Adriaan A. Voors; Xiaosong Wang; Nicholas J. Wareham; Peter Weeke; Raul Weiss; Kerri L. Wiggins; Heming Xing; Jian Yang; Yifan Yang; Laura M. Yerges-Armstrong; Bing Yu; Faiez Zannad; Faye Zhao; Jemma B. Wilk; Hilma Holm; Naveed Sattar; Steven A. Lubitz; David E. Lanfear; Svati H. Shah; Michael E. Dunn; Quinn S. Wells; Folkert W. Asselbergs; Aroon D. Hingorani; Marie-Pierre Dubé; Nilesh J. Samani; Chim C. Lang; Thomas P. Cappola; Patrick T. Ellinor; Ramachandran S. Vasan; J. Gustav Smith;Abstract: Aims: The HERMES (HEart failure Molecular Epidemiology for Therapeutic targetS) consortium aims to identify the genomic and molecular basis of heart failure. Methods and results: The consortium currently includes 51 studies from 11 countries, including 68 157 heart failure cases and 949 888 controls, with data on heart failure events and prognosis. All studies collected biological samples and performed genome‐wide genotyping of common genetic variants. The enrolment of subjects into participating studies ranged from 1948 to the present day, and the median follow‐up following heart failure diagnosis ranged from 2 to 116 months. Forty‐nine of 51 individual studies enrolled participants of both sexes; in these studies, participants with heart failure were predominantly male (34–90%). The mean age at diagnosis or ascertainment across all studies ranged from 54 to 84 years. Based on the aggregate sample, we estimated 80% power to genetic variant associations with risk of heart failure with an odds ratio of ≥1.10 for common variants (allele frequency ≥ 0.05) and ≥1.20 for low‐frequency variants (allele frequency 0.01–0.05) at P < 5 × 10−8 under an additive genetic model. Conclusions: HERMES is a global collaboration aiming to (i) identify the genetic determinants of heart failure; (ii) generate insights into the causal pathways leading to heart failure and enable genetic approaches to target prioritization; and (iii) develop genomic tools for disease stratification and risk prediction. Funder: Department of Medicine, Boston University School of Medicine; Id: http://dx.doi.org/10.13039/100008748 Funder: National Heart, Lung, and Blood Institute; Id: http://dx.doi.org/10.13039/100000050 Funder: Knut and Alice Wallenberg Foundation; Id: http://dx.doi.org/10.13039/501100004063 Funder: NIHR UCLH Biomedical Research Centre; Id: http://dx.doi.org/10.13039/501100012317 Funder: Skåne University Hospital; Id: http://dx.doi.org/10.13039/501100011077 Funder: Evans Medical Foundation; Id: http://dx.doi.org/10.13039/100015927 Funder: Crafoord Foundation; Id: http://dx.doi.org/10.13039/501100003173 Funder: British Heart Foundation Cardiovascular Biomedicine Funder: Swedish National Health Service
NARCIS arrow_drop_down NARCIS; ESC Heart FailureArticle . 2021NARCIS; ESC Heart FailureArticle . 2021ESC Heart Failure; Aalborg University Research PortalArticle . 2021Copenhagen University Research Information SystemArticle . 2021Data sources: Copenhagen University Research Information SystemLUMC Scholarly Publications; Leiden University Scholarly Publications Repository; NARCISOther literature type . Article . 2021License: CC BYVBN; Aalborg University Research PortalArticle . 2021NARCIS; ESC Heart FailureArticle . 2021add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eu8 citations 8 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 3visibility views 3 download downloads 43 Powered bymore_vert NARCIS arrow_drop_down NARCIS; ESC Heart FailureArticle . 2021NARCIS; ESC Heart FailureArticle . 2021ESC Heart Failure; Aalborg University Research PortalArticle . 2021Copenhagen University Research Information SystemArticle . 2021Data sources: Copenhagen University Research Information SystemLUMC Scholarly Publications; Leiden University Scholarly Publications Repository; NARCISOther literature type . Article . 2021License: CC BYVBN; Aalborg University Research PortalArticle . 2021NARCIS; ESC Heart FailureArticle . 2021add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Report , Other literature type , Preprint 2018 Turkey, Italy, Italy, Germany, Portugal, Portugal, Italy, United Kingdom, Italy, Italy, Spain, Denmark, Italy, Poland, Italy, Italy, France, ItalySpringer Science and Business Media LLC Aaboud M.; Aad G.; Abbott B.; Abdinov O.; Abeloos B.; Abhayasinghe D. K.; Abidi S. H.; Abouzeid O. S.; Abraham N. L.; Abramowicz H.; Abreu H.; Abulaiti Y.; Acharya B. S.; Adachi S.; Adam L.; Adamczyk L.; Adelman J.; Adersberger M.; Adiguzel A.; Adye T.; Affolder A. A.; Afik Y.; Agheorghiesei C.; Aguilar-Saavedra J. A.; Ahmadov F.; Aielli G.; Akatsuka S.; Åkesson T. P. A.; Akilli E.; Akimov A. V.; Alberghi G. L.; Albert J.; Albicocco P.; Alconada Verzini M. J.; Alderweireldt S.; Aleksa M.; Aleksandrov I. N.; Alexa C.; Alexopoulos T.; Alhroob M.; Ali B.; Alimonti G.; Alison J.; Alkire S. P.; Allaire C.; Allbrooke B. M. M.; Allen B. W.; Allport P. P.; Aloisio A.; Alonso A.; Alonso F.; Alpigiani C.; Alshehri A. A.; Alstaty M. I.; Alvarez Gonzalez B.; Álvarez Piqueras D.; Alviggi M. G.; Amadio B. T.; Amaral Coutinho Y.; Ambler A.; Ambroz L.; Amelung C.; Amidei D.; Amor Dos Santos S. P.; Amoroso S.; Amrouche C. S.; Anastopoulos C.; Ancu L. S.; Andari N.; Andeen T.; Anders C. F.; Anders J. K.; Anderson K. J.; Andreazza A.; Andrei V.; Anelli C. R.; Angelidakis S.; Angelozzi I.; Angerami A.; Anisenkov A. V.; Annovi A.; Antel C.; Anthony M. T.; Antonelli M.; Antrim D. J. A.; Anulli F.; Aoki M.; Aparisi Pozo J. A.; Aperio Bella L.; Arabidze G.; Araque J. P.; Araujo Ferraz V.; Araujo Pereira R.; Arce A. T. H.; Ardell R. E.; Arduh F. A.; Arguin J. -F.; Argyropoulos S.; Armbruster A. J.; Armitage L. J.; Armstrong A.; Arnaez O.; Arnold H.; Arratia M.; Arslan O.; Artamonov A.; Artoni G.; Artz S.; Asai S.; Asbah N.; Asimakopoulou E. M.; Asquith L.; Assamagan K.; Astalos R.; Atkin R. J.; Atkinson M.; Atlay N. B.; Augsten K.; Avolio G.; Avramidou R.; Ayoub M. K.; Azuelos G.; Baas A. E.; Baca M. J.; Bachacou H.; Bachas K.; Backes M.; Bagnaia P.; Bahmani M.; Bahrasemani H.; Bailey A. J.; Baines J. T.; Bajic M.; Bakalis C.; Baker O. K.; Bakker P. J.; Bakshi Gupta D.; Balaji S.; Baldin E. M.; Balek P.; Balli F.; Balunas W. K.; Balz J.; Banas E.; Bandyopadhyay A.; Banerjee S.; Bannoura A. A. E.; Barak L.; Barbe W. M.; Barberio E. L.; Barberis D.; Barbero M.; Barillari T.; Barisits M. -S.; Barkeloo J.; Barklow T.; Barnea R.; Barnes S. L.; Barnett B. M.; Barnett R. M.; Barnovska-Blenessy Z.; Baroncelli A.; Barone G.; Barr A. J.; Barranco Navarro L.; Barreiro F.; Barreiro Guimarães da Costa J.; Bartoldus R.; Barton A. E.; Bartos P.; Basalaev A.; Bassalat A.; Bates R. L.; Batista S. J.; Batlamous S.; Batley J. R.; Battaglia M.; Bauce M.; Bauer F.; Bauer K. T.; Bawa H. S.; Beacham J. B.; Beau T.; Beauchemin P. H.; Bechtle P.; Beck H. C.; Beck H. 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A.; Demarco D. A.; Derendarz D.; Dervan P.; Di Bello F. A.; Di Ciaccio A.; Di Ciaccio L.; Diaconu C.; Dias F. A.; Dias Do Vale T.; Dietrich J.; Dittus F.; Djama F.; Djobava T.; Doglioni C.; Doyle A. T.; Duckeck G.; Ducu O. A.; Duda D.; Duperrin A.; Duran Yildiz H.; Durglishvili A.; Dyndal M.; Dziedzic B. S.; Ellert M.; Ellinghaus F.; Ellis N.; Elsing M.; Erdmann J.; Ereditato A.; Escalier M.; Escobar C.; Estrada Pastor O.; Evans H.; Ezhilov A.; Ezzi M.; Fabbri F.; Fabiani V.; Faisca Rodrigues Pereira R. M.; Falke P. J.; Falke S.; Faltova J.; Fanti M.; Farbin A.; Farina E. M.; Farooque T.; Farrington S. M.; Fassi F.; Faucci Giannelli M.; Fawcett W. J.; Feligioni L.; Feng C.; Ferreira de Lima D. E.; Ferrere D.; Filthaut F.; Fiorini L.; Fisher W. C.; Fleck I.; Flores L. M.; Formica A.; Fox H.; Francavilla P.; Franchini M.; Franklin M.; Freund B.; Fullana Torregrosa E.; Gadow P.; Gagnon L. G.; Gamboa Goni R.; García Navarro J. E.; García Pascual J. A.; Gee C. N. P.; Genest M. 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A.; Hoya J.; Hrynevich A.; Hubaut F.; Hunter R. F. H.; Iacobucci G.; Iliadis D.; Introzzi G.; Ippolito V.; Isacson M. F.; Islam W.; Istin S.; Iuppa R.; Jackson P.; Jakobsen S.; Jakoubek T.; Jana D. K.; Jansky R.; Janssen J.; Jeanneau F.; Jeanty L.; Jia J.; Jiggins S.; Jinnouchi O.; Jon-And K.; Jones R. W. L.; Jones S. D.; Jones S.; Jorge P. M.; Jovicevic J.; Ju X.; Junggeburth J. J.; Juste Rozas A.; Kaczmarska A.; Kar D.; Karentzos E.; Karpov S. N.; Karpova Z. M.; Kay E. F.; Kazanin V. F.; Keeler R.; Kempster J. J.; Kendrick J.; Kharlamova T.; Khoo T. J.; Khramov E.; Kirk J.; Kiryunin A. E.; Klimek P.; Knue A.; Kodys P.; Koffas T.; König A. C.; Kono T.; Konoplich R.; Konstantinidis N.; Korcyl K.; Koulouris A.; Kourkoumelis C.; Kourlitis E.; Kouskoura V.; Kowalewski R.; Krasnopevtsev D.; Krauss D.; Kretzschmar J.; Kroll J.; Kruchonak U.; Kugel A.; Kukla R.; Kulchitsky Y.; Kupco A.; Kurchaninov L. L.; Kuwertz E. S.; Kuze M.; La Rosa A.; La Rosa Navarro J. L.; La Rotonda L.; Lacasta C.; Lafaye R.; Landon M. P. J.; Lange J. C.; Lapertosa A.; Lari T.; Lassnig M.; Lazzaroni M.; Leblanc M.; Lee C. A.; Lee G. R.; Lefebvre B.; Legger F.; Leight W. A.; Leisos A.; Leite M. A. L.; Leney K. J. C.; Leone R.; Leonidopoulos C.; Leroy C.; Les R.; Lester C. G.; Levchenko M.; Li B.; Li H.; Lie K.; Lin C. Y.; Lipniacka A.; Lisovyi M.; Lister A.; Litke A. M.; Little J. D.; Liu B.; Liu B. L.; Liu H. B.; Liu H.; Livan M.; Lleres A.; Llorente Merino J.; Lloyd S. L.; Lobodzinska E. M.; Loch P.; Lohwasser K.; Lokajicek M.; Longo L.; Lopez J. A.; Lorenzo Martinez N.; Losada M.; Lozano Bahilo J. J.; Luci C.; Lucotte A.; Luehring F.; Lysak R.; Macdonald C. M.; Madar R.; Madysa N.; Maeda J.; Maevskiy A. S.; Majersky O.; Makida Y.; Makovec N.; Maleev V. P.; Mamuzic J.; Mancini G.; Maneira J.; Manjarres Ramos J.; Mankinen K. H.; Manousos A.; Manzoni S.; March L.; Marcisovsky M.; Marjanovic M.; Marti-Garcia S.; Martin C. B.; Martin T. A.; Martin V. 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U. E.; Oreglia M. J.; Orestano D.; Orlando N.; Ould-Saada F.; Ozturk N.; Pachal K.; Pacheco Pages A.; Padilla Aranda C.; Palestini S.; Palka M.; Panduro Vazquez J. G.; Panizzo G.; Pasuwan P.; Pathak A.; Pedro R.; Peleganchuk S. V.; Penc O.; Perini L.; Peters K.; Petersen B. A.; Petrucci F.; Pezoa R.; Pham T.; Pianori E.; Pilkington A. D.; Pleskot V.; Poggi R.; Policicchio A.; Pollard C. S.; Ponomarenko D.; Potter C. J.; Potti H.; Poulsen T.; Poveda J.; Pralavorio P.; Primavera M.; Prince S.; Proklova N.; Prokoshin F.; Przybycien M.; Puri A.; Qian J.; Queitsch-Maitland M.; Ragusa F.; Raine J. A.; Rauch D. M.; Ravina B.; Reale M.; Rebuzzi D. M.; Redlinger G.; Reeves K.; Reichert J.; Resconi S.; Resseguie E. D.; Ricci E.; Ridel M.; Rieck P.; Rifki O.; Rimoldi A.; Ripellino G.; Rivera Vergara J. C.; Roberts R. T.; Robinson D.; Robson A.; Rocco E.; Roda C.; Rodriguez Bosca S.; Rodriguez Perez A.; Roland C. P. A.; Roloff J.; Romaniouk A.; Romano M.; Rompotis N.; Roos L.; Rosati S.; Rosbach K.; Rotaru M.; Roy D.; Rozen Y.; Rurikova Z.; Russell H. L.; Ryu S.; Ryzhov A.; Sabatini P.; Saimpert M.; Saito M.; Salazar Loyola J. E.; Salvatore D.; Salvucci A.; Sammel D.; Sanchez Pineda A.; Sankey D. P. C.; Santra A.; Sasaki O.; Sato K.; Sauvan E.; Sawyer C.; Schaefer D.; Schildgen L. K.; Schioppa E. J.; Schioppa M.; Schmidt-Sommerfeld K. R.; Schmitt C.; Schmitt S.; Schoeffel L.; Schopf E.; Schouwenberg J. F. P.; Schramm S.; Schwarz T. A.; Sciandra A.; Scornajenghi M.; Scyboz L. M.; Searcy J.; Sebastiani C. D.; Senkin S.; Serkin L.; Sessa M.; Sforza F.; Sfyrla A.; Shabalina E.; Shahinian J. D.; Shaikh N. W.; Shapiro M.; Sharma A. S.; Shi L.; Shimojima M.; Shojaii S.; Simioni E.; Simon M.; Sioli M.; Siral I.; Sliwa K.; Smirnov N.; Smirnov S. Y.; Smirnov Y.; Smirnova L. N.; Smith J. W.; Smolek K.; Smykiewicz A.; Snyder I. M.; Solovyev V.; Sommer P.; Son H.; Song W.; Sopczak A.; Sotiropoulou C. L.; Soualah R.; Sowden B. C.; Spagnolo S.; Spieker T. M.; Stabile A.; Stanecka E.; Stanislaus B.; Stark G. H.; Starovoitov P.; Stärz S.; Staszewski R.; Stevenson T. J.; Stolte P.; Straessner A.; Strandberg J.; Strizenec P.; Stucci S. A.; Stugu B.; Stupak J.; Sullivan M. J.; Sumida T.; Svatos M.; Swiatlowski M.; Sykora I.; Ta D.; Tahirovic E.; Takai H.; Tapia Araya S.; Tartarelli G. F.; Tassi E.; Taylor A. C.; Taylor A. J.; Terashi K.; Terron J.; Terzo S.; Thiele F.; Thompson A. S.; Thomson E.; Tian Y.; Ticse Torres R. E.; Tikhomirov V. O; Tisserant S.; Tokushuku K.; Tomiwa K. G.; Torró Pastor E.; Toth J.; Trigger I. M.; Trincaz-Duvoid S.; Trocmé B.; Trofymov A.; Troncon C.; Trovato F.; Truong L.; Trzebinski M.; Tsai F.; Tsuno S.; Tu Y.; Tudorache A.; Tudorache V.; Turra R.; Tzovara E.; Ughetto M.; Unal G.; Ungaro F. C.; Urquijo P.; Vadla K. O. H.; Vaidya A.; Valente M.; Valero A.; Valéry L.; Van Daalen T. R.; Van Gemmeren P.; Van Vulpen I.; Vanadia M.; Vari R.; Varvell K. E.; Vazquez Furelos D.; Veloso F.; Veneziano S.; Ventura A.; Vercesi V.; Verducci M.; Vermeulen A. T.; Vetterli M. C.; Viaux Maira N.; Vickey T.; Vickey Boeriu O. E.; Villa M.; Vincter M. G.; Vivarelli I.; Vlachos S.; von Buddenbrock S. E.; Vorobel V.; Vos M.; Vranjes N.; Vranjes Milosavljevic M.; Vukotic I.; Walder J.; Walkowiak W.; Wang A. M.; Wang C.; Wanotayaroj C.; Warburton A.; Wardrope D. R.; Watkins P. M.; Watts G.; Weber C.; Weber M. S.; Weber S. A.; Weingarten J.; Weirich M.; Weiser C.; Wenaus T.; Wengler T.; Werner M. D.; Werner P.; Whalen K.; Wickens F. J.; Wielers M.; Wiglesworth C.; Willocq S.; Winkels E.; Winklmeier F.; Winter B. T.; Wolf A.; Wolter M. W.; Wolters H.; Worm S. D.; Woźniak K. W.; Wu M.; Wu S. L.; Wu X.; Xella S.; Xi Z.; Xu D.; Xu H.; Yabsley B.; Yacoob S.; Yamaguchi D.; Yamazaki T.; Yang H. J.; Yang H. T.; Yap Y. C.; Yigitbasi E.; Yorita K.; Yu J.; Zaidan R.; Zakareishvili T.; Zakharchuk N.; Zanzi D.; Zhang D. F.; Zhang D.; Zhang F.; Zhao P.; Zhemchugov A.; Zhou B.; Zhu C. G.; Zoch K.; Zorbas T. G.;We thank CERN for the very successful operation of the LHC, as well as the support staff from our institutions without whom ATLAS could not be operated efficiently. We acknowledge the support of ANPCyT, Argentina; YerPhI, Armenia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azerbaijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and CFI, Canada; CERN; CONICYT, Chile; CAS, MOST and NSFC, China; COLCIENCIAS, Colombia; MSMT CR, MPO CR and VSC CR, Czech Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS, CEA-DRF/IRFU, France; SRNSFG, Georgia; BMBF, HGF, and MPG, Germany; GSRT, Greece; RGC, Hong Kong SAR, China; ISF and Benoziyo Center, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; NWO, Netherlands; RCN, Norway; MNiSW and NCN, Poland; FCT, Portugal; MNE/IFA, Romania; MES of Russia and NRC KI, Russian Federation; JINR; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZS, Slovenia; DST/NRF, South Africa; MINECO, Spain; SRC and Wallenberg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, United Kingdom; DOE and NSF, United States of America. In addition, individual groups and members have received support from BCKDF, CANARIE, CRC and Compute Canada, Canada; COST, ERC, ERDF, Horizon 2020, and Marie Sklodowska-Curie Actions, European Union; Investissements d' Avenir Labex and Idex, ANR, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF, Greece; BSF-NSF and GIF, Israel; CERCA Programme Generalitat de Catalunya, Spain; The Royal Society and Leverhulme Trust, United Kingdom. The crucial computing support from all WLCG partners is acknowledged gratefully, in particular from CERN, the ATLAS Tier-1 facilities at TRIUMF (Canada), NDGF(Denmark, Norway, Sweden), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (Netherlands), PIC (Spain), ASGC (Taiwan), RAL (UK) and BNL (USA), the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of comp Measurements of the azimuthal anisotropy in lead–lead collisions at sNN−−−√ = 5.02 TeV are presented using a data sample corresponding to 0.49 nb−1 integrated luminosity collected by the ATLAS experiment at the LHC in 2015. The recorded minimum-bias sample is enhanced by triggers for “ultra-central” collisions, providing an opportunity to perform detailed study of flow harmonics in the regime where the initial state is dominated by fluctuations. The anisotropy of the charged-particle azimuthal angle distributions is characterized by the Fourier coefficients, v2–v7, which are measured using the two-particle correlation, scalar-product and event-plane methods. The goal of the paper is to provide measurements of the differential as well as integrated flow harmonics vn over wide ranges of the transverse momentum, 0.5
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For further information contact us at helpdesk@openaire.eu45 citations 45 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!visibility 30visibility views 30 download downloads 50 Powered bymore_vert CORE (RIOXX-UK Aggre... arrow_drop_down Archivio Istituzionale della Ricerca- Università del Salento; Archivio della Ricerca - Università degli Studi Roma Tre; Archivio della Ricerca - Università di Pisa; LAReferencia - Red Federada de Repositorios Institucionales de Publicaciones Científicas Latinoamericanas; European Physical Journal C: Particles and Fields; Archivio della Ricerca - Università di Roma Tor vergata; Archivio Istituzionale della Ricerca dell'Università degli Studi di Milano; Archivio della ricerca - Università degli studi di Napoli Federico II; Archivio istituzionale della ricerca - Università degli Studi di Udine; IRIS - Institutional Research Information System of the University of Trento; Archivio Istituzionale dell'Università della CalabriaArticle . 2018License: CC BYData sources: Archivio Istituzionale della Ricerca- Università del Salento; Archivio della Ricerca - Università degli Studi Roma Tre; Archivio della Ricerca - Università di Pisa; Crossref; LAReferencia - Red Federada de Repositorios Institucionales de Publicaciones Científicas Latinoamericanas; Archivio della Ricerca - Università di Roma Tor vergata; Archivio Istituzionale della Ricerca dell'Università degli Studi di Milano; Archivio della ricerca - Università degli studi di Napoli Federico II; Archivio istituzionale della ricerca - Università degli Studi di Udine; IRIS - Institutional Research Information System of the University of Trento; Archivio Istituzionale dell'Università della CalabriaRecolector de Ciencia Abierta, RECOLECTA; Dipòsit Digital de Documents de la UABArticle . 2018License: CC BYUniversidade do Minho: RepositoriUMOther literature type . 2018Data sources: Universidade do Minho: RepositoriUMGiresun University Institutional RepositoryArticle . 2018Data sources: Giresun University Institutional RepositoryArchivio della Ricerca - Università degli Studi Roma TreArticle . 2018Data sources: Archivio della Ricerca - Università degli Studi Roma TreArchivio della Ricerca - Università di PisaArticle . 2018Data sources: Archivio della Ricerca - Università di PisaRecolector de Ciencia Abierta, RECOLECTAArticleData sources: Recolector de Ciencia Abierta, RECOLECTACopenhagen University Research Information SystemArticle . 2018Data sources: Copenhagen University Research Information SystemArchivio della Ricerca - Università di Roma Tor vergataArticle . 2018Data sources: Archivio della Ricerca - Università di Roma Tor vergataHAL - UPEC / UPEM; HAL-Pasteur; HAL-Inserm; Hal-DiderotArticle . 2018add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2018 Switzerland, Italy, France, Italy, United KingdomOxford University Press (OUP) EC | OPTICON, EC | OPTICONEC| OPTICON ,EC| OPTICONAlice Zurlo; Dino Mesa; Silvano Desidera; Sergio Messina; Raffaele Gratton; Claire Moutou; Jean-Luc Beuzit; Beth Biller; Anthony Boccaletti; Mariangela Bonavita; Mickael Bonnefoy; Tanmay Bhowmik; Wolfgang Brandner; Esther Buenzli; Gael Chauvin; M. Cudel; Valentina D'Orazi; Markus Feldt; Janis Hagelberg; Markus Janson; Anne-Marie Lagrange; Maud Langlois; J. Lannier; Baptiste Lavie; C. Lazzoni; Anne-Lise Maire; Matthias Meyer; David Mouillet; S. Peretti; Clément Perrot; P. J. Potiron; Graeme Salter; T. Schmidt; E. Sissa; Arthur Vigan; Alain Delboulbé; C. Petit; Jose Ramos; F. Rigal; Sylvain Rochat;We present observations with the planet finder Spectro-Polarimetric High-contrast Exoplanet REsearch (SPHERE) of a selected sample of the most promising radial velocity (RV) companions for high-contrast imaging. Using a Monte Carlo simulation to explore all the possible inclinations of the orbit of wide RV companions, we identified the systems with companions that could potentially be detected with SPHERE. We found the most favourable RV systems to observe are: HD 142, GJ 676, HD 39091, HIP 70849, and HD 30177 and carried out observations of these systems during SPHERE Guaranteed Time Observing. To reduce the intensity of the starlight and reveal faint companions, we used principal component analysis algorithms alongside angular and spectral differential imaging. We injected synthetic planets with known flux to evaluate the self-subtraction caused by our data reduction and to determine the 5σ contrast in the J band versus separation for our reduced images. We estimated the upper limit on detectable companion mass around the selected stars from the contrast plot obtained from our data reduction. Although our observations enabled contrasts larger than 15 mag at a few tenths of arcsec from the host stars, we detected no planets. However, we were able to set upper mass limits around the stars using AMES-COND evolutionary models. We can exclude the presence of companions more massive than 25–28 MJup around these stars, confirming the substellar nature of these RV companions. Monthly Notices of the Royal Astronomical Society, 480 (1) ISSN:0035-8711 ISSN:1365-2966
Research Collection arrow_drop_down OA@INAF - Istituto Nazionale di AstrofisicaArticle . 2018Data sources: OA@INAF - Istituto Nazionale di AstrofisicaHAL - UPEC / UPEM; HAL-Pasteur; HAL-Inserm; Hal-DiderotArticle . 2018https://doi.org/10.48550/arxiv...Article . 2018License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/mnras/sty1809&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu16 citations 16 popularity Top 10% influence Average impulse Top 10% Powered by BIP!more_vert Research Collection arrow_drop_down OA@INAF - Istituto Nazionale di AstrofisicaArticle . 2018Data sources: OA@INAF - Istituto Nazionale di AstrofisicaHAL - UPEC / UPEM; HAL-Pasteur; HAL-Inserm; Hal-DiderotArticle . 2018https://doi.org/10.48550/arxiv...Article . 2018License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/mnras/sty1809&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Other literature type 2022 CanadaFrontiers Media SA NIH | ARTFL LEFFTDS Longitudina..., CIHRNIH| ARTFL LEFFTDS Longitudinal Frontotemporal Lobar Degeneration (ALLFTD) ,CIHRAuthors: Spyros Papapetropoulos; Spyros Papapetropoulos; Angela Pontius; Elizabeth Finger; +16 AuthorsSpyros Papapetropoulos; Spyros Papapetropoulos; Angela Pontius; Elizabeth Finger; Virginija Karrenbauer; Virginija Karrenbauer; David S. Lynch; Matthew Brennan; Samantha Zappia; Wolfgang Koehler; Ludger Schoels; Ludger Schoels; Stefanie N. Hayer; Stefanie N. Hayer; Takuya Konno; Takeshi Ikeuchi; Troy Lund; Jennifer Orthmann-Murphy; Florian Eichler; Zbigniew K. Wszolek;A comprehensive review of published literature was conducted to elucidate the genetics, neuropathology, imaging findings, prevalence, clinical course, diagnosis/clinical evaluation, potential biomarkers, and current and proposed treatments for adult-onset leukoencephalopathy with axonal spheroids and pigmented glia (ALSP), a rare, debilitating, and life-threatening neurodegenerative disorder for which disease-modifying therapies are not currently available. Details on potential efficacy endpoints for future interventional clinical trials in patients with ALSP and data related to the burden of the disease on patients and caregivers were also reviewed. The information in this position paper lays a foundation to establish an effective clinical rationale and address the clinical gaps for creation of a robust strategy to develop therapeutic agents for ALSP, as well as design future clinical trials, that have clinically meaningful and convergent endpoints.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3389/fneur.2021.788168&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu22 citations 22 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.3389/fneur.2021.788168&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2015 FrancePublic Library of Science (PLoS) Volpov, Beth L.; Hoskins, Andrew J.; Battaile, Brian C.; Viviant, Morgane; Wheatley, Kathryn E.; Marshall, Greg; Abernathy, Kyler; Arnould, John P.Y.;International audience; This study investigated prey captures in free-ranging adult female Australian fur seals (Arctocephalus pusillus doriferus) using head-mounted 3-axis accelerometers and animal-borne video cameras. Acceleration data was used to identify individual attempted prey captures (APC), and video data were used to independently verify APC and prey types. Results demonstrated that head-mounted accelerometers could detect individual APC but were unable to distinguish among prey types (fish, cephalopod, stingray) or between successful captures and unsuccessful capture attempts. Mean detection rate (true positive rate) on individual animals in the testing subset ranged from 67-100%, and mean detection on the testing subset averaged across 4 animals ranged from 82-97%. Mean False positive (FP) rate ranged from 15-67% individually in the testing subset, and 26-59% averaged across 4 animals. Surge and sway had significantly greater detection rates, but also conversely greater FP rates compared to heave. Video data also indicated that some head movements recorded by the accelerometers were unrelated to APC and that a peak in acceleration variance did not always equate to an individual prey item. The results of the present study indicate that head-mounted accelerometers provide a complementary tool for investigating foraging behaviour in pinnipeds, but that detection and FP correction factors need to be applied for reliable field application.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1371/journal.pone.0128789&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu50 citations 50 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1371/journal.pone.0128789&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2020 CanadaResearch Square Platform LLC Susan Hunter; Alison Divine; Humberto Omana; Edward Madou; Jeffrey Holmes;Abstract Background Balance and gait problems are common and progressive in dementia. Use of a mobility aid provides physical support and confidence. Yet, mobility aid use in people with dementia increases falls three-fold. An assessment tool of mobility aid safety in people with dementia does not currently exist. The objectives of this study were: 1) to develop a tool for the evaluation of physical function and safe use of a 4-wheeled walker in people with dementia, and 2) to evaluate its construct and criterion validity, inter-rater and test-retest reliability and minimal detectable change. Methods Healthcare professionals (HCP) experienced in rehabilitation of people with dementia participated in focus groups for item generation of the new tool, The Safe Use of Mobility Aid Checklist (SUMAC). The SUMAC evaluates physical function (PF) and safe use of the equipment (EQ) on nine tasks of daily life. Reliability was evaluated by HCP (n = 5) scored participant videos of people with dementia (n = 10) using a 4-wheeled walker performing the SUMAC. Inter-rater and test-retest reliability was assessed using intra-class correlation coefficients (ICC). Construct validity evaluated scores of the HCPs to a consensus HCP panel using Spearman’s rank-order correlations. Criterion validity evaluated SUMAC-PF to the Performance-Oriented Mobility Assessment (POMA) gait subscale using Spearman’s rank-order correlations. Results Three focus groups (n = 17) generated a tool comprised of nine tasks and the components within each task for physical function and safe use. Inter-rater reliability was statistically significant for SUMAC-PF (ICC = 0.92, 95%CI (0.81, 0.98), p < 0.001) and SUMAC-EQ. (ICC = 0.82, 95%CI (0.54, 0.95), p < 0.001). Test-retest reliability was statistically significant for SUMAC-PF (ICC = 0.89, 95%CI (0.81, 0.94), p < 0.001) and SUMAC-EQ. (ICC = 0.88, 95%CI (0.79, 0.93), p < 0.001). As hypothesized, the POMA gait subscale correlated strongly with the SUMAC-PF (rs = 0.84), but not EQ (rs = 0.39). Conclusions The focus groups and research team developed a tool of nine tasks with evaluation on physical function and safe use of a 4-wheeled walker for people with dementia. The SUMAC tool has demonstrated content validity for the whole scale and good construct and criterion validity for the SUMAC-PF and SUMAC-EQ. The subscores of the SUMAC demonstrated excellent to good inter-rater and test-retest reliability.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.21203/rs.2.22127/v1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu3 citations 3 popularity Average influence Average impulse Average Powered by BIP!visibility 2visibility views 2 download downloads 12 Powered bymore_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.21203/rs.2.22127/v1&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Preprint , Article , Other literature type 2021 France, United KingdomOxford University Press (OUP) UKRI | STFC Hertfordshire 2017 D..., UKRI | UK Involvement in LSST: P..., UKRI | DiRAC2: 100 Tflop/s HPC c... +3 projectsUKRI| STFC Hertfordshire 2017 DTP ,UKRI| UK Involvement in LSST: Phase B ,UKRI| DiRAC2: 100 Tflop/s HPC cluster procurement ,UKRI| DiRAC 2.5 Operations 2017-2020 ,UKRI| The DiRAC 2.5x Facility ,UKRI| STFC Hertfordshire 2015 DTPR. A. Jackson; Garreth Martin; Sugata Kaviraj; Marius Ramsoy; Julien Devriendt; Thomas M. Sedgwick; Clotilde Laigle; Hoseung Choi; R. S. Beckmann; Marta Volonteri; Yohan Dubois; Christophe Pichon; Sukyoung K. Yi; Adrianne Slyz; K. Kraljic; Taysun Kimm; Sébastien Peirani; Ivan K. Baldry;Low-surface-brightness galaxies (LSBGs) -- defined as systems that are fainter than the surface-brightness limits of past wide-area surveys -- form the overwhelming majority of galaxies in the dwarf regime (M* < 10^9 MSun). Using NewHorizon, a high-resolution cosmological simulation, we study the origin of LSBGs and explain why LSBGs at similar stellar mass show the large observed spread in surface brightness. New Horizon galaxies populate a well-defined locus in the surface brightness -- stellar mass plane, with a spread of ~3 mag arcsec^-2, in agreement with deep SDSS Stripe data. Galaxies with fainter surface brightnesses today are born in regions of higher dark-matter density. This results in faster gas accretion and more intense star formation at early epochs. The stronger resultant supernova feedback flattens gas profiles at a faster rate which, in turn, creates shallower stellar profiles (i.e. more diffuse systems) more rapidly. As star formation declines towards late epochs (z<1), the larger tidal perturbations and ram pressure experienced by these systems (due to their denser local environments) accelerate the divergence in surface brightness, by increasing their effective radii and reducing star formation respectively. A small minority of dwarfs depart from the main locus towards high surface brightnesses, making them detectable in past wide surveys. These systems have anomalously high star-formation rates, triggered by recent, fly-by or merger-driven starbursts. We note that objects considered extreme/anomalous at the depth of current datasets, e.g. `ultra-diffuse galaxies', actually dominate the predicted dwarf population and will be routinely visible in future surveys like LSST. 16 pages, 15 figures, Accepted for publication in MNRAS
CORE (RIOXX-UK Aggre... arrow_drop_down CORE (RIOXX-UK Aggregator)ArticleLicense: rioxx All Rights ReservedData sources: CORE (RIOXX-UK Aggregator)Oxford University Research ArchiveOther literature type . 2021License: CC BYData sources: Oxford University Research ArchiveMonthly Notices of the Royal Astronomical SocietyArticle . 2021License: OUP Standard Publication ReuseData sources: CrossrefMémoires en Sciences de l'Information et de la CommunicationPreprint . 2021https://doi.org/10.48550/arxiv...Article . 2020License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/mnras/stab077&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu29 citations 29 popularity Top 10% influence Average impulse Top 10% Powered by BIP!visibility 2visibility views 2 download downloads 7 Powered bymore_vert CORE (RIOXX-UK Aggre... arrow_drop_down CORE (RIOXX-UK Aggregator)ArticleLicense: rioxx All Rights ReservedData sources: CORE (RIOXX-UK Aggregator)Oxford University Research ArchiveOther literature type . 2021License: CC BYData sources: Oxford University Research ArchiveMonthly Notices of the Royal Astronomical SocietyArticle . 2021License: OUP Standard Publication ReuseData sources: CrossrefMémoires en Sciences de l'Information et de la CommunicationPreprint . 2021https://doi.org/10.48550/arxiv...Article . 2020License: arXiv Non-Exclusive DistributionData sources: Dataciteadd ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1093/mnras/stab077&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2021 CanadaElsevier BV Aras Kayvanrad; Stephen R. Arnott; Nathan W. Churchill; Stefanie Hassel; Aditi Chemparathy; Fan Dong; Mojdeh Zamyadi; Tom Gee; Robert Bartha; Sandra E. Black; Jane M. Lawrence-Dewar; Christopher J.M. Scott; Sean P. Symons; Andrew D. Davis; Geoffrey B. Hall; Jacqueline K. Harris; Nancy J. Lobaugh; Glenda MacQueen; Cindy Woo; Stephen C. Strother;pmid: 34029737
Quality assurance (QA) is crucial in longitudinal and/or multi-site studies, which involve the collection of data from a group of subjects over time and/or at different locations. It is important to regularly monitor the performance of the scanners over time and at different locations to detect and control for intrinsic differences (e.g., due to manufacturers) and changes in scanner performance (e.g., due to gradual component aging, software and/or hardware upgrades, etc.). As part of the Ontario Neurodegenerative Disease Research Initiative (ONDRI) and the Canadian Biomarker Integration Network in Depression (CAN-BIND), QA phantom scans were conducted approximately monthly for three to four years at 13 sites across Canada with 3T research MRI scanners. QA parameters were calculated for each scan using the functional Biomarker Imaging Research Network's (fBIRN) QA phantom and pipeline to capture between- and within-scanner variability. We also describe a QA protocol to measure the full-width-at-half-maximum (FWHM) of slice-wise point spread functions (PSF), used in conjunction with the fBIRN QA parameters. Variations in image resolution measured by the FWHM are a primary source of variance over time for many sites, as well as between sites and between manufacturers. We also identify an unexpected range of instabilities affecting individual slices in a number of scanners, which may amount to a substantial contribution of unexplained signal variance to their data. Finally, we identify a preliminary preprocessing approach to reduce this variance and/or alleviate the slice anomalies, and in a small human data set show that this change in preprocessing can have a significant impact on seed-based connectivity measurements for some individual subjects. We expect that other fMRI centres will find this approach to identifying and controlling scanner instabilities useful in similar studies.
add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.neuroimage.2021.118197&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu5 citations 5 popularity Top 10% influence Average impulse Average Powered by BIP!more_vert add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/j.neuroimage.2021.118197&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2000 FranceElsevier BV Authors: Everett, Hazel; Hoang, C.T.; Kilakos, K.; Noy, M.;Everett, Hazel; Hoang, C.T.; Kilakos, K.; Noy, M.;Article dans revue scientifique avec comité de lecture.; Given a set of n disjoint line segments in the plane, the segment visibility graph is the graph whose $2n$ vertices correspond to the endpoints of the line segments and whose edges connect every pair of vertices whose corresponding endpoints can see each other. In this paper we characterize and provide a polynomial time recognition algorithm for planar segment visibility graphs. Actually, we caracterize segment visibility graphs that do not contain the complete graph on 5 vertices as a minor, qnd show that this class is the same as the class of planar segment visibility graphs. We use and prove the fact that every segment visibility graph contains the complete graph on 4 vertices as a subgraph. In fact, we prove a stronger result: every set of n line segments determines at least n-3 empty convex quadrilaterals.
Computational Geomet... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/s0925-7721(00)00009-2&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu7 citations 7 popularity Average influence Average impulse Average Powered by BIP!more_vert Computational Geomet... arrow_drop_down add ClaimPlease grant OpenAIRE to access and update your ORCID works.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.This Research product is the result of merged Research products in OpenAIRE.
You have already added works in your ORCID record related to the merged Research product.All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=10.1016/s0925-7721(00)00009-2&type=result"></script>'); --> </script>
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