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Institution

University of Bath

EducationBath, Bath and North East Somerset, United Kingdom
About: University of Bath is a education organization based out in Bath, Bath and North East Somerset, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 15830 authors who have published 39608 publications receiving 1358769 citations. The organization is also known as: Bath University.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors present a systematic review of research on academic scientists' involvement in collaborative research, contract research, consulting and informal relationships for university-industry knowledge transfer, which they refer as academic engagement.
Abstract: A considerable body of work highlights the relevance of collaborative research, contract research, consulting and informal relationships for university-industry knowledge transfer. We present a systematic review of research on academic scientists’ involvement in these activities to which we refer as ‘academic engagement’. Apart from extracting findings that are generalisable across studies, we ask how academic engagement differs from commercialization, defined as intellectual property creation and academic entrepreneurship. We identify the individual, organizational and institutional antecedents and consequences of academic engagement, and then compare these findings with the antecedents and consequences of commercialization. Apart from being more widely practiced, academic engagement is distinct from commercialization in that it is closely aligned with traditional academic research activities, and pursued by academics to access resources supporting their research agendas. We conclude by identifying future research needs, opportunities for methodological improvement and policy interventions. (Published version available via open access)

1,589 citations

Journal ArticleDOI
01 Mar 1999-Pain
TL;DR: Cognitive-behavioural treatments based on the principle of cognitive behavioural therapy are effective and are associated with significant effect sizes on all domains of measurement.
Abstract: A computer and a hand search of the literature recovered 33 papers from which 25 trials suitable for meta-analysis were identified. We compared the effectiveness of cognitive-behavioural treatments with the waiting list control and alternative treatment control conditions. There was a great diversity of measurements which we grouped into domains representing major facets of pain. Effect sizes, corrected for measurement unreliability, were estimated for each domain. When compared with the waiting list control conditions cognitive-behavioural treatments were associated with significant effect sizes on all domains of measurement (median effect size across domains=0.5). Comparison with alternative active treatments revealed that cognitive-behavioural treatments produced significantly greater changes for the domains of pain experience, cognitive coping and appraisal (positive coping measures), and reduced behavioural expression of pain. Differences on the following domains were not significant; mood/affect (depression and other, non-depression, measures), cognitive coping and appraisal (negative, e.g. catastrophization), and social role functioning. We conclude that active psychological treatments based on the principle of cognitive behavioural therapy are effective. We discuss the results with reference to the complexity and quality of the trials.

1,544 citations

Journal ArticleDOI
TL;DR: In this article, a description of some aspects of business networks and relationships and highlights the questions that they pose for practitioners are discussed. But the authors suggest that an understanding of these questions require an appreciation of a number of paradoxes that are intrinsic to the nature of business network and draw out their managerial implications.

1,507 citations

Journal ArticleDOI
TL;DR: In this paper, a review of decision methods reported in the literature for supporting the supplier selection process is presented, based on an extensive search in the academic literature, and the proposed methods specifically accommodate for buying situations for which few or no decision models were published so far.

1,492 citations

Journal ArticleDOI
TL;DR: A new plot is described for analysing the results of kinetic experiments in which the Michaelis-Menten equation is obeyed, and provides clear and accurate information about the quality of the observations, and identifies aberrant observations.
Abstract: A new plot is described for analysing the results of kinetic experiments in which the Michaelis–Menten equation is obeyed. Observations are plotted as lines in parameter space, instead of points in observation space. With appropriate modifications the plot is applicable to most problems of interest to the enzyme kineticist. It has the following advantages over traditional methods of plotting kinetic results: it is very simple to construct, because it is composed entirely of straight lines and requires no calculation or mathematical tables; the kinetic constants are read off the plot directly, again without calculation; it may be used during the course of an experiment to judge the success of the experiment, and to modify the experimental design; it provides clear and accurate information about the quality of the observations, and identifies aberrant observations; it provides a clear indication of the precision of the kinetic constants; constructed with care, it provides unbiased estimates of the kinetic constants, the same as those provided by a computer program; it may be used to simulate results for illustrative purposes very rapidly and simply.

1,457 citations


Authors

Showing all 16056 results

NameH-indexPapersCitations
Michael Grätzel2481423303599
Brenda W.J.H. Penninx1701139119082
Amartya Sen149689141907
Gilbert Laporte12873062608
Andre K. Geim125445206833
Matthew Jones125116196909
Benoît Roux12049362215
Stephen Mann12066955008
Bruno S. Frey11990065368
Raymond A. Dwek11860352259
David Cutts11477864215
John Campbell107115056067
David Chandler10742452396
Peter H.R. Green10684360113
Huajian Gao10566746748
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202386
2022404
20212,475
20202,371
20192,144
20181,972