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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: Context (language use) & Large Hadron Collider. 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
TL;DR: In this paper, the authors identify the critical factors that influence the attitudes of construction workers towards safe behavior on construction sites and study these attitudes by using a research model that links three themes: safety management implementation strategies, attitudes of workers about safety and behavioural factors displayed by construction workers.
Abstract: This paper identifies the critical factors that influence the attitudes of construction workers towards safe behaviour on construction sites. It studies these attitudes by using a research model that links three themes: safety management implementation strategies, attitudes of workers about safety and behavioural factors displayed by construction workers. This model is used to frame the responses of 126 directly employed construction workers in 10 companies. Some 56 variables were identified as having a potential influence upon attitudes to safety. The initial data analysis found that 12 technical factors significantly correlated to the development of strong positive attitudes towards safety management. Second‐order analysis, using factor analysis, isolated five variables that had a major influence on safety attitudes. The five factors were: organizing for safety supervision and equipment management, industry norms and culture, attitudes to risk taking and management behaviour.

232 citations

Journal ArticleDOI
17 Oct 2012-PLOS ONE
TL;DR: It is suggested that blinding in studies using tDCS at intensities of 2 mA is inadequate, and positive results from such studies should be interpreted with caution.
Abstract: Copyright @ 2012 The Authors. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and 85 reproduction in any medium, provided the original author and source are credited. The article was made available through the Brunel University Open Access Publishing Fund.

231 citations

Journal ArticleDOI
TL;DR: In this article, the anisotropy of the azimuthal distributions of charged particles produced in √s_(NN)=2.76 TeV PbPb collisions with the CMS experiment at the LHC is studied with the event plane method, two-and fourparticle cumulants, and Lee-Yang zeros.
Abstract: The anisotropy of the azimuthal distributions of charged particles produced in √s_(NN)=2.76 TeV PbPb collisions is studied with the CMS experiment at the LHC. The elliptic anisotropy parameter, v_2, defined as the second coefficient in a Fourier expansion of the particle invariant yields, is extracted using the event-plane method, two- and four-particle cumulants, and Lee-Yang zeros. The anisotropy is presented as a function of transverse momentum (p_T), pseudorapidity (η) over a broad kinematic range, 0.3

231 citations

Journal ArticleDOI
TL;DR: It was revealed that although integrated care pathways led to improved outcomes for the health care trust there was little evidence to suggest that interprofessional relationships and communication were enhanced and key factors in discharge delays appeared to be organizational rather than professional.
Abstract: This paper reports on the evaluation stage of an action research project on interprofessional collaboration in discharge planning Findings from interviews with health care professionals working in the acute sector had revealed concerns about discharge planning and multidisciplinary teamwork In the United Kingdom the National Health Service (NHS) Plan has reinforced the need for an integrated approach to health care Effective health care integration requires effective communication, teamwork and the commitment to deliver integrated care Integrated documentation is a key strategy for enhancing interprofessional collaboration and reducing the isolation of professionals, and has been successfully implemented in a range of health care settings Presented with the concerns about the collaborative process in discharge planning, an action research strategy was chosen to bring about change in an orthopaedic ward in one London teaching hospital This paper will evaluate the implementation of an integrated care pathway with fractured neck of femurs in one London teaching hospital Care pathways facilitate the management of defined patient groups using interdisciplinary plans of care The emphasis will be on understanding whether integrated care pathways enhance and develop interprofessional collaboration and enable effective information access and flow across the professions and the organization The criteria for evaluation, forming the hypotheses of the study, were that interprofessional nonverbal and verbal communication would be enhanced and that interprofesisonal collaboration would increase Methods of evaluation used were: (i) stakeholder interviews, (ii) interprofessional audit and (iii) analysis of the variances from the integrated care pathway The evaluation revealed that although integrated care pathways led to improved outcomes for the health care trust there was little evidence to suggest that interprofessional relationships and communication were enhanced Furthermore, key factors in discharge delays appeared to be organizational rather than professional

231 citations

Journal ArticleDOI
TL;DR: A bi-criterion evolution (BCE) framework of the PC and NPC, which attempts to make use of their strengths and compensates for each other's weaknesses, making it applicable for any non-Pareto-based algorithm.
Abstract: It is known that Pareto dominance has its own weaknesses as the selection criterion in evolutionary multiobjective optimization. Algorithms based on Pareto criterion (PC) can suffer from problems such as slow convergence to the optimal front and inferior performance on problems with many objectives. Non-Pareto criterion (NPC), such as decomposition-based criterion and indicator-based criterion, has already shown promising results in this regard, but its high selection pressure may lead to the algorithm to prefer some specific areas of the problem’s Pareto front, especially when the front is highly irregular. In this paper, we propose a bi-criterion evolution (BCE) framework of the PC and NPC, which attempts to make use of their strengths and compensates for each other’s weaknesses. The proposed framework consists of two parts: PC evolution and NPC evolution. The two parts work collaboratively, with an abundant exchange of information to facilitate each other’s evolution. Specifically, the NPC evolution leads the PC evolution forward and the PC evolution compensates the possible diversity loss of the NPC evolution. The proposed framework keeps the freedom on the implementation of the NPC evolution part, thus making it applicable for any non-Pareto-based algorithm. In the PC evolution, two operations, population maintenance and individual exploration, are presented. The former is to maintain a set of representative nondominated individuals and the latter is to explore some promising areas that are undeveloped (or not well-developed) in the NPC evolution. Experimental results have shown the effectiveness of the proposed framework. The BCE works well on seven groups of 42 test problems with various characteristics, including those in which Pareto-based algorithms or non-Pareto-based algorithms struggle.

231 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