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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
01 Aug 2003-Quest
TL;DR: This article examined the influence of experience on coaching practice and found that it is experience and the observation of other coaches that remain the primary sources of knowledge for coaches, despite this, coach education and continuing professional development fail to draw effectively on this experience.
Abstract: Research over the last decade has demonstrated that it is experience and the observation of other coaches that remain the primary sources of knowledge for coaches. Despite this, coach education and continuing professional development fail to draw effectively on this experience. Using the work of Pierre Bourdieu, this paper attempts to understand how the “art of coaching” can be characterized as structured improvisation and how experience is crucial to structuring coaching practice. An examination of current coach education and assessment demonstrates that coaching practice viewed as a composite of knowledge has not specifically addressed the pervasive influence of experience on coaching practice. Drawing on experiences from the educational field, we examine how coach education and continuing professional development can utilize mentoring and critical reflection to situate learning in the practical experience of coaching.

680 citations

Journal ArticleDOI
Vardan Khachatryan1, Albert M. Sirunyan1, Armen Tumasyan1, Wolfgang Adam  +2134 moreInstitutions (142)
TL;DR: The couplings of the Higgs boson are probed for deviations in magnitude from the standard model predictions in multiple ways, including searches for invisible and undetected decays, and no significant deviations are found.
Abstract: Properties of the Higgs boson with mass near 125 GeV are measured in proton-proton collisions with the CMS experiment at the LHC. Comprehensive sets of production and decay measurements are combined. The decay channels include gamma gamma, ZZ, WW, tau tau, bb, and mu mu pairs. The data samples were collected in 2011 and 2012 and correspond to integrated luminosities of up to 5.1 inverse femtobarns at 7 TeV and up to 19.7 inverse femtobarns at 8 TeV. From the high-resolution gamma gamma and ZZ channels, the mass of the Higgs boson is determined to be 125.02 +0.26 -0.27 (stat) +0.14 -0.15 (syst) GeV. For this mass value, the event yields obtained in the different analyses tagging specific decay channels and production mechanisms are consistent with those expected for the standard model Higgs boson. The combined best-fit signal relative to the standard model expectation is 1.00 +/- 0.09 (stat) +0.08 -0.07 (theo) +/- 0.07 (syst) at the measured mass. The couplings of the Higgs boson are probed for deviations in magnitude from the standard model predictions in multiple ways, including searches for invisible and undetected decays. No significant deviations are found.

677 citations

Journal ArticleDOI
TL;DR: Trial-based cost-effectiveness studies have appeal because of their high internal validity and timeliness and improving the quality and uniformity of these studies will increase their value to decision makers who consider evidence of economic value along with clinical efficacy when making resource allocation decisions.

676 citations

Journal ArticleDOI
TL;DR: A linear matrix inequality (LMI) approach is developed to establish sufficient conditions for the RNNs to be globally exponentially stable, and the existence and uniqueness of the equilibrium point under mild conditions is proved.

671 citations

Journal ArticleDOI
TL;DR: The integrated view of the extant literature that the study presents can help avoid duplication by future researchers, whilst offering fruitful lines of enquiry to help shape research for this emerging field of social media research.
Abstract: Social media comprises communication websites that facilitate relationship forming between users from diverse backgrounds, resulting in a rich social structure. User generated content encourages inquiry and decision-making. Given the relevance of social media to various stakeholders, it has received significant attention from researchers of various fields, including information systems. There exists no comprehensive review that integrates and synthesises the findings of literature on social media. This study discusses the findings of 132 papers (in selected IS journals) on social media and social networking published between 1997 and 2017. Most papers reviewed here examine the behavioural side of social media, investigate the aspect of reviews and recommendations, and study its integration for organizational purposes. Furthermore, many studies have investigated the viability of online communities/social media as a marketing medium, while others have explored various aspects of social media, including the risks associated with its use, the value that it creates, and the negative stigma attached to it within workplaces. The use of social media for information sharing during critical events as well as for seeking and/or rendering help has also been investigated in prior research. Other contexts include political and public administration, and the comparison between traditional and social media. Overall, our study identifies multiple emergent themes in the existing corpus, thereby furthering our understanding of advances in social media research. The integrated view of the extant literature that our study presents can help avoid duplication by future researchers, whilst offering fruitful lines of enquiry to help shape research for this emerging field.

670 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