Institution
University of Bath
Education•Bath, 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 & Photonic-crystal fiber. The organization has 15830 authors who have published 39608 publications receiving 1358769 citations. The organization is also known as: Bath University.
Papers published on a yearly basis
Papers
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TL;DR: In this article, a study of the radiogenic and atmospherically derived inert gases in groundwaters from the Bunter Sandstone aquifer of Nottinghamshire, England, is described.
305 citations
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TL;DR: The Brief Index of Affective Job Satisfaction (BJPS) as mentioned in this paper is a short measure derived from the Brayfield and Rothe's (1951) job satisfaction index.
Abstract: This article responds to criticisms that affective job satisfaction research suffers serious measurement problems: Noncomparable measures; studies conceptualizing job satisfaction affectively but measuring it cognitively; and ad hoc measures lacking systematic development and validation, especially across populations by nationality, job level, and job type. We address these problems through a series of qualitative (total N = 28) and quantitative (total N = 901) studies to systematically develop and validate a short affective job satisfaction measure ultimately deriving from Brayfield and Rothe’s (1951) job satisfaction index. Unlike any previous job satisfaction measure, the resulting four-item Brief Index of Affective Job Satisfaction is overtly affective, minimally cognitive, and optimally brief. The new measure also differs from any previous job satisfaction measure in being comprehensively validated not just for internal consistency reliability, temporal stability, convergent and criterion-related validities, but also for cross-population invariance by nationality, job level, and job type.
304 citations
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TL;DR: In the clinical sample, parents’ catastrophic thinking about their child’s pain had a significant contribution in explaining (a) childhood illness‐related parenting stress, parental depression and anxiety, and (b) the child”s disability and school attendance, beyond the child's pain intensity.
Abstract: Numerous studies have found evidence for the role of catastrophizing about pain in adjustment to pain in both adults and children. However, the social context influencing pain and pain behaviour has been largely ignored. Especially in understanding the complexities of childhood pain, family processes may be of major importance. In line with the crucial role of pain catastrophizing in explaining adjustment and disability in adults and children, this study investigates the role of parental catastrophic thinking about their child’s pain in explaining child disability and parental distress. To study parental catastrophizing, a parent version of the Pain Catastrophizing Scale (PCS-P) was developed. An oblique three-factor structure emerged to best fit the data in both a sample of parents of schoolchildren (N = 205) and in a sample of parents of children with chronic pain (N = 107). Moreover, this three-factor structure was found to be invariant across both parent samples. Further, in the clinical sample, parents’ catastrophic thinking about their child’s pain had a significant contribution in explaining (a) childhood illness-related parenting stress, parental depression and anxiety, and (b) the child’s disability and school attendance, beyond the child’s pain intensity.
304 citations
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TL;DR: An up-to-date review of the CAPPResearch works, a critical analysis of journals that publish CAPP research works, and an understanding of the future direction in the field are provided.
Abstract: For the past three decades, computer-aided process planning (CAPP) has attracted a large amount of research interest. A huge volume of literature has been published on this subject. Today, CAPP research faces new challenges owing to the dynamic markets and business globalisation. Thus, there is an urgent need to ascertain the current status and identify future trends of CAPP. Covering articles published on the subjects of CAPP in the past 10 years or so, this article aims to provide an up-to-date review of the CAPP research works, a critical analysis of journals that publish CAPP research works, and an understanding of the future direction in the field. First, general information is provided on CAPP. The past reviews are summarised. Discussions about the recent CAPP research are presented in a number of categories, i.e. feature-based technologies, knowledge-based systems, artificial neural networks, genetic algorithms, fuzzy set theory and fuzzy logic, Petri nets, agent-based technology, Internet-based technology, STEP-compliant CAPP and other emerging technologies. Research on some specific aspects of CAPP is also provided. Discussions and analysis of the methods are then presented based on the data gathered from the Elsevier's Scopus abstract and citation database. The concepts of 'Subject Strength' of a journal and 'technology impact factor' are introduced and used for discussions based on the publication data. The former is used to gauge the level of focus of a journal on a particular research subject/domain, whereas the latter is used to assess the level of impact of a particular technology, in terms of citation counts. Finally, a discussion on the future development is presented.
304 citations
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TL;DR: To assess current trajectories towards the GPW13 UHC billion target—1 billion more people benefiting from UHC by 2023—the authors estimated additional population equivalents with UHC effective coverage from 2018 to 2023, and quantified frontiers of U HC effective coverage performance on the basis of pooled health spending per capita.
304 citations
Authors
Showing all 16056 results
Name | H-index | Papers | Citations |
---|---|---|---|
Michael Grätzel | 248 | 1423 | 303599 |
Brenda W.J.H. Penninx | 170 | 1139 | 119082 |
Amartya Sen | 149 | 689 | 141907 |
Gilbert Laporte | 128 | 730 | 62608 |
Andre K. Geim | 125 | 445 | 206833 |
Matthew Jones | 125 | 1161 | 96909 |
Benoît Roux | 120 | 493 | 62215 |
Stephen Mann | 120 | 669 | 55008 |
Bruno S. Frey | 119 | 900 | 65368 |
Raymond A. Dwek | 118 | 603 | 52259 |
David Cutts | 114 | 778 | 64215 |
John Campbell | 107 | 1150 | 56067 |
David Chandler | 107 | 424 | 52396 |
Peter H.R. Green | 106 | 843 | 60113 |
Huajian Gao | 105 | 667 | 46748 |