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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.
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.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 Preprint , Article 2018 United KingdomCenter for Open Science AKA | Intra-Genomic Conflicts a...AKA| Intra-Genomic Conflicts and Social Decision-Making in HumansLinda C. Karlsson; Jan Antfolk; Hanna Putkonen; Sabine Amon; João da Silva Guerreiro; Vivienne de Vogel; Sandra Flynn; Ghitta Weizmann-Henelius;pmid: 30704336
Familicides have received relatively little attention in previous research and mostly appear as a byproduct in studies with broader objectives. Here, we reviewed 67 studies from 18 countries, published between 1980 and 2017, that report on familicides in which an offender killed or attempted to kill their current or former spouse/intimate partner and one or more of their biological or stepchildren. Studies were identified by a systematical literature search in PubMed, PsycINFO, and Google Scholar. Only eight studies had the specific aim of investigating familicide, while the remaining studies investigated broader phenomena (e.g., homicide-suicide) but reported on a subsample of familicide cases. We retrieved data concerning the offenders’ gender, age, and background, as well as information regarding victims and their relationship to the offender. We also retrieved contextual factors and characteristics of the offence, such as modus operandi, offence location, possible premeditation, and whether or not the offender had died by suicide in connection to the offence. Furthermore, we coded methodological aspects of the studies, such as data collection coverage and sources of information. Familicides were almost exclusively committed by men and about half of the familicide cases led to the subsequent suicide of the offender. Mental health problems, relationship problems, and financial difficulties were prevalent. Because few studies reported population base rates of the investigated characteristics, it is difficult to draw conclusions about risk factors for familicide. Future research should further investigate typologies of familicide and examine risk factors associated with different types of familicides.
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For further information contact us at helpdesk@openaire.eu35 citations 35 popularity Top 1% 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 Preprint , Article 2023Embargo end date: 01 Jan 2023arXiv Jiao, Aoran; Patel, Tanmay P.; Khurana, Sanjmi; Korol, Anna-Mariya; Brunke, Lukas; Adajania, Vivek K.; Culha, Utku; Zhou, Siqi; Schoellig, Angela P.;This paper presents Swarm-GPT, a system that integrates large language models (LLMs) with safe swarm motion planning - offering an automated and novel approach to deployable drone swarm choreography. Swarm-GPT enables users to automatically generate synchronized drone performances through natural language instructions. With an emphasis on safety and creativity, Swarm-GPT addresses a critical gap in the field of drone choreography by integrating the creative power of generative models with the effectiveness and safety of model-based planning algorithms. This goal is achieved by prompting the LLM to generate a unique set of waypoints based on extracted audio data. A trajectory planner processes these waypoints to guarantee collision-free and feasible motion. Results can be viewed in simulation prior to execution and modified through dynamic re-prompting. Sim-to-real transfer experiments demonstrate Swarm-GPT's ability to accurately replicate simulated drone trajectories, with a mean sim-to-real root mean square error (RMSE) of 28.7 mm. To date, Swarm-GPT has been successfully showcased at three live events, exemplifying safe real-world deployment of pre-trained models. Comment: 10 pages, 9 figures
arXiv.org e-Print Ar... arrow_drop_down https://doi.org/10.48550/arxiv...Article . 2023License: 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.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 . 2023License: 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 Other literature type , Article 2018CMA Impact Inc. Authors: Anna-Maria, Carvalho; Vincent, Poirier;Anna-Maria, Carvalho; Vincent, Poirier;As emergency physicians with a subspecialty in aviation medicine, we agree with Dr. Rieb’s response[1][1] to an analysis article by Kodama and colleagues[2][2] that having naloxone on board is a necessary tool to treat the increasingly common medical emergency of opioid intoxication. Some airlines
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=10.1503/cmaj.69467&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Average 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=10.1503/cmaj.69467&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 1996Springer Science and Business Media LLC Hilary H. Birks; Richard W. Battarbee; David J. Beerling; H. J. B. Birks; Stephen J. Brooks; C. A. Duigan; Steinar Gulliksen; Haflidi Haflidason; F. Hauge; Vivienne J. Jones; B. Jonsgard; M. Kårevik; Eiliv Larsen; Geoffrey Lemdahl; Reidar Løvlie; Jan Mangerud; Sylvia M. Peglar; Göran Possnert; John P. Smol; John O. Solem; I.W. Solhoy; Torstein Solhøy; Eivind Sønstegaard; Herbert E. Wright;doi: 10.1007/bf00213048
Krakenes is the site of a small lake on the west coast of Norway that contains a long sequence of late-glacial sediments. The Younger Dryas is well represented, as a cirque glacier developed in the catchment at this time. This site offers unique opportunities to reconstruct late-glacial environments from independent sources of evidence; physical evidence (glacial geomorphology, sedimentology, palaeomagnetism, radiocarbon dating), and biological evidence from the remains of animals and plants derived from both the terrestrial and aquatic ecosystems. This report describes the background to the site, and the international multidisciplinary project to reconstruct late-glacial and early Holocene environmental and climatic changes at Krakenes.
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For further information contact us at helpdesk@openaire.eu36 citations 36 popularity Average 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=10.1007/bf00213048&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article , Preprint 2022Cambridge University Press (CUP) SSHRCSSHRCAuthors: Song, Kyungchul;Song, Kyungchul;Diffusion over a network refers to the phenomenon of a change of state of a cross-sectional unit in one period leading to a change of state of its neighbors in the network in the next period. One may estimate or test for diffusion by estimating a cross-sectionally aggregated correlation between neighbors over time from data. However, the estimated diffusion can be misleading if the diffusion is confounded by omitted covariates. This paper focuses on the measure of diffusion proposed by He and Song (2022, Preprint, arXiv:1812.04195v4 [stat.ME]), provides a method of decomposition analysis to measure the role of the covariates on the estimated diffusion, and develops an asymptotic inference procedure for the decomposition analysis in such a situation. This paper also presents results from a Monte Carlo study on the small sample performance of the inference procedure.
Econometric Theory arrow_drop_down https://doi.org/10.48550/arxiv...Article . 2019License: 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.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Econometric Theory arrow_drop_down https://doi.org/10.48550/arxiv...Article . 2019License: 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=10.1017/s026646662200024x&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 2017Elsevier BV NSERCNSERCJinsheng Xiao; Liang Tong; Tianqi Yang; Pierre Bénard; Richard Chahine;Abstract In this work, lumped parameter models have been developed for hydrogen storage and purification systems based on Matlab/Simulink. Hydrogen storage systems using metal hydride has been validated by comparing simulation results with data in other literature. In order to improve the efficiency of hydrogen storage system, the effects of ambient temperature, supply pressure, outlet pressure and overall heat transfer coefficient on the hydrogen storage capacity were studied. The validated lumped parameter model was developed to simulate the performance of hydrogen purification system in assumed industrial process. In order to improve hydrogen recovery rate of purification system, the effects of solid material mass, overall heat transfer coefficient, cooling water temperature and supply pressure were taken into consideration. In general, the hydrogen recovery rate of purification system rises with the increase of solid material mass and overall heat transfer coefficient. And it can be considered as an effective way to increase hydrogen recovery rate by reducing the cooling water temperature and enhancing the supply pressure.
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.ijhydene.2016.11.060&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu26 citations 26 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 2016 United KingdomInternational Global Health Society Authors: Yoshida, Sachiyo; Wazny, Kerri; Cousens, Simon; Chan, Kit Yee;Yoshida, Sachiyo; Wazny, Kerri; Cousens, Simon; Chan, Kit Yee;pmid: 27303649
pmc: PMC4894379
Setting health research priorities is a complex and value–driven process. The introduction of the Child Health and Nutrition Research Initiative (CHNRI) method has made the process of setting research priorities more transparent and inclusive, but much of the process remains in the hands of funders and researchers, as described in the previous two papers in this series [1,2]. However, the value systems of numerous other important stakeholders, particularly those on the receiving end of health research products, are very rarely addressed in any process of priority setting. Inclusion of a larger and more diverse group of stakeholders in the process would result in a better reflection of the system of values of the broader community, resulting in recommendations that are more legitimate and acceptable. The CHNRI method, as originally proposed, took into account the importance of stakeholders and made provisions for their participation in the process. Although the involvement of a large and diverse group of stakeholders is desirable, they were not expected to propose research ideas, or score them against the set of pre–defined criteria. Because of this, the original CHNRI method proposed that stakeholders should be allowed to “weigh” pre–defined criteria and set “thresholds” for a minimum acceptable score against each criterion that would be required for a research idea to be considered a “research priority”. In choosing the stakeholders, the context of each exercise will be very important and the goals of the specific exercise should be defined before choosing an appropriate “stakeholder group”. Among stakeholders, we would expect to see those affected by the disease of interest and their family members, their carers and health workers, members of general public, media representatives interested in the topic, community leaders, representatives of the consumer groups and industry, but also potentially researchers and funders themselves. Although the latter two groups – researchers and funders – already have a different role assigned in the CHNRI process, this does not exclude them from also being stakeholders in the process [1,2]. In this paper, we aim to review and analyse the experiences in stakeholder involvement across the 50 CHNRI exercises published in the 10–year period between 2007 and 2016, the proposed approaches to involving stakeholders and their effects on the outcome of the prioritization process. One paper in the original CHNRI method series focused on involving stakeholders [3]. That paper presented practical experiences from three separate attempts to involve stakeholders that took place in 2006. The three groups approached were: (i) members of the global research priority setting network; (ii) a diverse group of national–level stakeholders from South Africa; and (iii) participants at a conference related to international child health held in Washington, DC, USA. Each group was asked to complete a short questionnaire to assess the relative importance of the five original CHNRI criteria. Different versions of the questionnaire were used with each group [3]. The results of this exercise indicated that groups of stakeholders vary in the weights they assigned to the 5 criteria, reflecting divergence in the “value” placed on each criterion by each stakeholder group. The diverse group of respondents within the priority–setting network placed the greatest weight on the criterion of “maximum potential for disease burden reduction” and the most stringent threshold on “answerability in an ethical way”. Among the attendees at the international conference on child health, the criterion of “deliverability, answerability and sustainability” was identified as the most important. Finally, in South Africa, where inequity has been a national problem historically, the greatest weight was placed on the “predicted impact on equity” criterion. This comparative analysis by Kapiriri et al. [3] effectively demonstrated that involving a wide range of stakeholders is an important goal for any research priority setting exercise. The criteria that may be of importance to funders, scientists and other technical experts involved in the process of planning and conducting the exercise may not be well aligned with the values of those who should eventually benefit from health research, or with the sentiments of wider society as a whole [3]. This is an important observation, because if the CHNRI process is conducted without regard for the broader social value or research, then it is unrealistic to expect it to fulfil its purpose of being accepted as a fair, transparent and legitimate process for setting investment priorities for health research.
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For further information contact us at helpdesk@openaire.eu27 citations 27 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!visibility 1visibility views 1 download downloads 24 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.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Article 2018 United KingdomAnnual Reviews Authors: Breen, RJ; Karlson, KB; Holm, A;Breen, RJ; Karlson, KB; Holm, A;Methods textbooks in sociology and other social sciences routinely recommend the use of the logit or probit model when an outcome variable is binary, an ordered logit or ordered probit when it is ordinal, and a multinomial logit when it has more than two categories. But these methodological guidelines take little or no account of a body of work that, over the past 30 years, has pointed to problematic aspects of these nonlinear probability models and, particularly, to difficulties in interpreting their parameters. In this review, we draw on that literature to explain the problems, show how they manifest themselves in research, discuss the strengths and weaknesses of alternatives that have been suggested, and point to lines of further analysis.
Oxford University Re... arrow_drop_down Oxford University Research ArchiveOther literature type . 2018Data sources: Oxford University Research Archiveadd 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.eu238 citations 238 popularity Top 0.1% influence Top 10% impulse Top 0.1% Powered by BIP!visibility 48visibility views 48 download downloads 0 Powered bymore_vert Oxford University Re... arrow_drop_down Oxford University Research ArchiveOther literature type . 2018Data sources: Oxford University Research Archiveadd 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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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.
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=10.48550/arxiv.2005.08317&type=result"></script>'); --> </script>
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.
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=10.48550/arxiv.2005.08317&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Preprint , Article 2018 United KingdomCenter for Open Science AKA | Intra-Genomic Conflicts a...AKA| Intra-Genomic Conflicts and Social Decision-Making in HumansLinda C. Karlsson; Jan Antfolk; Hanna Putkonen; Sabine Amon; João da Silva Guerreiro; Vivienne de Vogel; Sandra Flynn; Ghitta Weizmann-Henelius;pmid: 30704336
Familicides have received relatively little attention in previous research and mostly appear as a byproduct in studies with broader objectives. Here, we reviewed 67 studies from 18 countries, published between 1980 and 2017, that report on familicides in which an offender killed or attempted to kill their current or former spouse/intimate partner and one or more of their biological or stepchildren. Studies were identified by a systematical literature search in PubMed, PsycINFO, and Google Scholar. Only eight studies had the specific aim of investigating familicide, while the remaining studies investigated broader phenomena (e.g., homicide-suicide) but reported on a subsample of familicide cases. We retrieved data concerning the offenders’ gender, age, and background, as well as information regarding victims and their relationship to the offender. We also retrieved contextual factors and characteristics of the offence, such as modus operandi, offence location, possible premeditation, and whether or not the offender had died by suicide in connection to the offence. Furthermore, we coded methodological aspects of the studies, such as data collection coverage and sources of information. Familicides were almost exclusively committed by men and about half of the familicide cases led to the subsequent suicide of the offender. Mental health problems, relationship problems, and financial difficulties were prevalent. Because few studies reported population base rates of the investigated characteristics, it is difficult to draw conclusions about risk factors for familicide. Future research should further investigate typologies of familicide and examine risk factors associated with different types of familicides.
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.eu35 citations 35 popularity Top 1% 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 Preprint , Article 2023Embargo end date: 01 Jan 2023arXiv Jiao, Aoran; Patel, Tanmay P.; Khurana, Sanjmi; Korol, Anna-Mariya; Brunke, Lukas; Adajania, Vivek K.; Culha, Utku; Zhou, Siqi; Schoellig, Angela P.;This paper presents Swarm-GPT, a system that integrates large language models (LLMs) with safe swarm motion planning - offering an automated and novel approach to deployable drone swarm choreography. Swarm-GPT enables users to automatically generate synchronized drone performances through natural language instructions. With an emphasis on safety and creativity, Swarm-GPT addresses a critical gap in the field of drone choreography by integrating the creative power of generative models with the effectiveness and safety of model-based planning algorithms. This goal is achieved by prompting the LLM to generate a unique set of waypoints based on extracted audio data. A trajectory planner processes these waypoints to guarantee collision-free and feasible motion. Results can be viewed in simulation prior to execution and modified through dynamic re-prompting. Sim-to-real transfer experiments demonstrate Swarm-GPT's ability to accurately replicate simulated drone trajectories, with a mean sim-to-real root mean square error (RMSE) of 28.7 mm. To date, Swarm-GPT has been successfully showcased at three live events, exemplifying safe real-world deployment of pre-trained models. Comment: 10 pages, 9 figures
arXiv.org e-Print Ar... arrow_drop_down https://doi.org/10.48550/arxiv...Article . 2023License: 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.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 . 2023License: 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 Other literature type , Article 2018CMA Impact Inc. Authors: Anna-Maria, Carvalho; Vincent, Poirier;Anna-Maria, Carvalho; Vincent, Poirier;As emergency physicians with a subspecialty in aviation medicine, we agree with Dr. Rieb’s response[1][1] to an analysis article by Kodama and colleagues[2][2] that having naloxone on board is a necessary tool to treat the increasingly common medical emergency of opioid intoxication. Some airlines
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=10.1503/cmaj.69467&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu1 citations 1 popularity Average 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=10.1503/cmaj.69467&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Article 1996Springer Science and Business Media LLC Hilary H. Birks; Richard W. Battarbee; David J. Beerling; H. J. B. Birks; Stephen J. Brooks; C. A. Duigan; Steinar Gulliksen; Haflidi Haflidason; F. Hauge; Vivienne J. Jones; B. Jonsgard; M. Kårevik; Eiliv Larsen; Geoffrey Lemdahl; Reidar Løvlie; Jan Mangerud; Sylvia M. Peglar; Göran Possnert; John P. Smol; John O. Solem; I.W. Solhoy; Torstein Solhøy; Eivind Sønstegaard; Herbert E. Wright;doi: 10.1007/bf00213048
Krakenes is the site of a small lake on the west coast of Norway that contains a long sequence of late-glacial sediments. The Younger Dryas is well represented, as a cirque glacier developed in the catchment at this time. This site offers unique opportunities to reconstruct late-glacial environments from independent sources of evidence; physical evidence (glacial geomorphology, sedimentology, palaeomagnetism, radiocarbon dating), and biological evidence from the remains of animals and plants derived from both the terrestrial and aquatic ecosystems. This report describes the background to the site, and the international multidisciplinary project to reconstruct late-glacial and early Holocene environmental and climatic changes at Krakenes.
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.eu36 citations 36 popularity Average 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 2022Cambridge University Press (CUP) SSHRCSSHRCAuthors: Song, Kyungchul;Song, Kyungchul;Diffusion over a network refers to the phenomenon of a change of state of a cross-sectional unit in one period leading to a change of state of its neighbors in the network in the next period. One may estimate or test for diffusion by estimating a cross-sectionally aggregated correlation between neighbors over time from data. However, the estimated diffusion can be misleading if the diffusion is confounded by omitted covariates. This paper focuses on the measure of diffusion proposed by He and Song (2022, Preprint, arXiv:1812.04195v4 [stat.ME]), provides a method of decomposition analysis to measure the role of the covariates on the estimated diffusion, and develops an asymptotic inference procedure for the decomposition analysis in such a situation. This paper also presents results from a Monte Carlo study on the small sample performance of the inference procedure.
Econometric Theory arrow_drop_down https://doi.org/10.48550/arxiv...Article . 2019License: 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.eu0 citations 0 popularity Average influence Average impulse Average Powered by BIP!more_vert Econometric Theory arrow_drop_down https://doi.org/10.48550/arxiv...Article . 2019License: 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 2017Elsevier BV NSERCNSERCJinsheng Xiao; Liang Tong; Tianqi Yang; Pierre Bénard; Richard Chahine;Abstract In this work, lumped parameter models have been developed for hydrogen storage and purification systems based on Matlab/Simulink. Hydrogen storage systems using metal hydride has been validated by comparing simulation results with data in other literature. In order to improve the efficiency of hydrogen storage system, the effects of ambient temperature, supply pressure, outlet pressure and overall heat transfer coefficient on the hydrogen storage capacity were studied. The validated lumped parameter model was developed to simulate the performance of hydrogen purification system in assumed industrial process. In order to improve hydrogen recovery rate of purification system, the effects of solid material mass, overall heat transfer coefficient, cooling water temperature and supply pressure were taken into consideration. In general, the hydrogen recovery rate of purification system rises with the increase of solid material mass and overall heat transfer coefficient. And it can be considered as an effective way to increase hydrogen recovery rate by reducing the cooling water temperature and enhancing the supply pressure.
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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.ijhydene.2016.11.060&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu26 citations 26 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 2016 United KingdomInternational Global Health Society Authors: Yoshida, Sachiyo; Wazny, Kerri; Cousens, Simon; Chan, Kit Yee;Yoshida, Sachiyo; Wazny, Kerri; Cousens, Simon; Chan, Kit Yee;pmid: 27303649
pmc: PMC4894379
Setting health research priorities is a complex and value–driven process. The introduction of the Child Health and Nutrition Research Initiative (CHNRI) method has made the process of setting research priorities more transparent and inclusive, but much of the process remains in the hands of funders and researchers, as described in the previous two papers in this series [1,2]. However, the value systems of numerous other important stakeholders, particularly those on the receiving end of health research products, are very rarely addressed in any process of priority setting. Inclusion of a larger and more diverse group of stakeholders in the process would result in a better reflection of the system of values of the broader community, resulting in recommendations that are more legitimate and acceptable. The CHNRI method, as originally proposed, took into account the importance of stakeholders and made provisions for their participation in the process. Although the involvement of a large and diverse group of stakeholders is desirable, they were not expected to propose research ideas, or score them against the set of pre–defined criteria. Because of this, the original CHNRI method proposed that stakeholders should be allowed to “weigh” pre–defined criteria and set “thresholds” for a minimum acceptable score against each criterion that would be required for a research idea to be considered a “research priority”. In choosing the stakeholders, the context of each exercise will be very important and the goals of the specific exercise should be defined before choosing an appropriate “stakeholder group”. Among stakeholders, we would expect to see those affected by the disease of interest and their family members, their carers and health workers, members of general public, media representatives interested in the topic, community leaders, representatives of the consumer groups and industry, but also potentially researchers and funders themselves. Although the latter two groups – researchers and funders – already have a different role assigned in the CHNRI process, this does not exclude them from also being stakeholders in the process [1,2]. In this paper, we aim to review and analyse the experiences in stakeholder involvement across the 50 CHNRI exercises published in the 10–year period between 2007 and 2016, the proposed approaches to involving stakeholders and their effects on the outcome of the prioritization process. One paper in the original CHNRI method series focused on involving stakeholders [3]. That paper presented practical experiences from three separate attempts to involve stakeholders that took place in 2006. The three groups approached were: (i) members of the global research priority setting network; (ii) a diverse group of national–level stakeholders from South Africa; and (iii) participants at a conference related to international child health held in Washington, DC, USA. Each group was asked to complete a short questionnaire to assess the relative importance of the five original CHNRI criteria. Different versions of the questionnaire were used with each group [3]. The results of this exercise indicated that groups of stakeholders vary in the weights they assigned to the 5 criteria, reflecting divergence in the “value” placed on each criterion by each stakeholder group. The diverse group of respondents within the priority–setting network placed the greatest weight on the criterion of “maximum potential for disease burden reduction” and the most stringent threshold on “answerability in an ethical way”. Among the attendees at the international conference on child health, the criterion of “deliverability, answerability and sustainability” was identified as the most important. Finally, in South Africa, where inequity has been a national problem historically, the greatest weight was placed on the “predicted impact on equity” criterion. This comparative analysis by Kapiriri et al. [3] effectively demonstrated that involving a wide range of stakeholders is an important goal for any research priority setting exercise. The criteria that may be of importance to funders, scientists and other technical experts involved in the process of planning and conducting the exercise may not be well aligned with the values of those who should eventually benefit from health research, or with the sentiments of wider society as a whole [3]. This is an important observation, because if the CHNRI process is conducted without regard for the broader social value or research, then it is unrealistic to expect it to fulfil its purpose of being accepted as a fair, transparent and legitimate process for setting investment priorities for health research.
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.eu27 citations 27 popularity Top 10% influence Top 10% impulse Top 10% Powered by BIP!visibility 1visibility views 1 download downloads 24 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.
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For further information contact us at helpdesk@openaire.eudescription Publicationkeyboard_double_arrow_right Other literature type , Article 2018 United KingdomAnnual Reviews Authors: Breen, RJ; Karlson, KB; Holm, A;Breen, RJ; Karlson, KB; Holm, A;Methods textbooks in sociology and other social sciences routinely recommend the use of the logit or probit model when an outcome variable is binary, an ordered logit or ordered probit when it is ordinal, and a multinomial logit when it has more than two categories. But these methodological guidelines take little or no account of a body of work that, over the past 30 years, has pointed to problematic aspects of these nonlinear probability models and, particularly, to difficulties in interpreting their parameters. In this review, we draw on that literature to explain the problems, show how they manifest themselves in research, discuss the strengths and weaknesses of alternatives that have been suggested, and point to lines of further analysis.
Oxford University Re... arrow_drop_down Oxford University Research ArchiveOther literature type . 2018Data sources: Oxford University Research Archiveadd 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=10.1146/annurev-soc-073117-041429&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu238 citations 238 popularity Top 0.1% influence Top 10% impulse Top 0.1% Powered by BIP!visibility 48visibility views 48 download downloads 0 Powered bymore_vert Oxford University Re... arrow_drop_down Oxford University Research ArchiveOther literature type . 2018Data sources: Oxford University Research Archiveadd 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=10.1146/annurev-soc-073117-041429&type=result"></script>'); --> </script>
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.
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=10.1002/ehf2.13517&type=result"></script>'); --> </script>
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.
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=10.1002/ehf2.13517&type=result"></script>'); --> </script>
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