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Institution

Brunel University London

EducationLondon, United Kingdom
About: Brunel University London is a education organization based out in London, United Kingdom. It is known for research contribution in the topics: Large Hadron Collider & Population. The organization has 10918 authors who have published 29515 publications receiving 893330 citations. The organization is also known as: Brunel & University of Brunel.


Papers
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Journal ArticleDOI
10 Feb 2016-BMJ
TL;DR: Seventy six senior academics from 11 countries invite The BMJ ’s editors to reconsider their policy of rejecting qualitative research on the grounds of low priority.
Abstract: Seventy six senior academics from 11 countries invite The BMJ ’s editors to reconsider their policy of rejecting qualitative research on the grounds of low priority. They challenge the journal to develop a proactive, scholarly, and pluralist approach to research that aligns with its stated mission

303 citations

Journal ArticleDOI
TL;DR: In this paper, the performance of the modified system is studied using proton-proton collision data at center-of-mass energy √s=13 TeV, collected at the LHC in 2015 and 2016.
Abstract: The CMS muon detector system, muon reconstruction software, and high-level trigger underwent significant changes in 2013–2014 in preparation for running at higher LHC collision energy and instantaneous luminosity. The performance of the modified system is studied using proton-proton collision data at center-of-mass energy √s=13 TeV, collected at the LHC in 2015 and 2016. The measured performance parameters, including spatial resolution, efficiency, and timing, are found to meet all design specifications and are well reproduced by simulation. Despite the more challenging running conditions, the modified muon system is found to perform as well as, and in many aspects better than, previously. We dedicate this paper to the memory of Prof. Alberto Benvenuti, whose work was fundamental for the CMS muon detector.

303 citations

Journal ArticleDOI
TL;DR: This article explored the meaning and practice of CSR in Nigeria and found that indigenous firms perceive and practise CSR as corporate philanthropy aimed at addressing socio-economic development challenges in Nigeria.
Abstract: Drawing empirical evidence from indigenous firms, this study explores the meaning and practice of CSR in Nigeria. It was found that indigenous firms perceive and practise CSR as corporate philanthropy aimed at addressing socio-economic development challenges in Nigeria. This finding confirms that CSR is a localised and socially embedded construct, as the 'waves', 'issues' and 'modes' of CSR practices identified amongst indigenous firms in Nigeria reflect the firms' responses to their socio-economic context. It is anticipated that this paper will add to the body of knowledge on CSR, especially as it relates to Africa, which has a relatively dearth of literature on CSR; and provide some insights to multinational firms operating in Nigeria.

303 citations

Journal ArticleDOI
TL;DR: The social component of the biopsychosocial model is important to patients but not well represented in current core-sets of outcome measures, and researchers should consider social factors to help develop a portfolio of more relevant outcome measures.
Abstract: Copyright @ 2014 Froud et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.

302 citations

Journal ArticleDOI
TL;DR: Computational results using real data reveal promising performance of the proposed SBPSP model in comparison with the existing relief network in Tehran and contributes to the literature on optimization based design of relief networks under mixed possibilistic-stochastic uncertainty.

302 citations


Authors

Showing all 11074 results

NameH-indexPapersCitations
Yang Yang1712644153049
Hongfang Liu1662356156290
Gavin Davies1592036149835
Marjo-Riitta Järvelin156923100939
Matt J. Jarvis144106485559
Alexander Belyaev1421895100796
Louis Lyons138174798864
Silvano Tosi135171297559
John A Coughlan135131296578
Kenichi Hatakeyama1341731102438
Kristian Harder134161396571
Peter R Hobson133159094257
Christopher Seez132125689943
Liliana Teodorescu132147190106
Umesh Joshi131124990323
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202380
2022235
20211,532
20201,475
20191,445
20181,345