Institution
University of St Andrews
Education•St Andrews, Fife, United Kingdom•
About: University of St Andrews is a education organization based out in St Andrews, Fife, United Kingdom. It is known for research contribution in the topics: Population & Laser. The organization has 16260 authors who have published 43364 publications receiving 1636072 citations. The organization is also known as: St Andrews University & University of St. Andrews.
Topics: Population, Laser, Stars, Catalysis, Galaxy
Papers published on a yearly basis
Papers
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TL;DR: The ability to form polymeric chains is not shared by SUMO-1, and although all SUMO species use the same conjugation machinery, modification by SUMo-1 andsumO-2/-3 may have distinct functional consequences.
816 citations
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TL;DR: In this paper, the authors propose a partially noninformative prior structure related to a Natural Conjugate g-prior speciflcation, where the amount of subjective information requested from the user is limited to the choice of a single scalar hyperparameter g0j.
815 citations
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TL;DR: This review aims to provide a comprehensive overview of current scientific knowledge on FCR and to formulate recommendations for future research to stimulate the research and the development of targeted interventions for cancer survivors and their carers.
Abstract: Purpose
Fear of cancer recurrence (FCR) is among the most commonly reported problems and one of the most prevalent areas of unmet needs for cancer survivors and their carers. This review aims to provide a comprehensive overview of current scientific knowledge on FCR and to formulate recommendations for future research.
814 citations
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TL;DR: In this article, the authors investigated the profitability of European banks during the 1990s using cross-sectional, pooled crosssectional time-series and dynamic panel models and found that the relationship between the importance of off-balance-sheet business in a bank's portfolio and profitability is positive for the UK but either neutral or negative elsewhere.
Abstract: The profitability of European banks during the 1990s is investigated using cross-sectional, pooled cross-sectional time-series and dynamic panel models. Models for the determinants of profitability incorporate size, diversification, risk and ownership type, as well as dynamic effects. Despite intensifying competition there is significant persistence of abnormal profit from year to year. The evidence for any consistent or systematic size‐profitability relationship is relatively weak. The relationship between the importance of off-balance-sheet business in a bank’s portfolio and profitability is positive for the UK, but either neutral or negative elsewhere. The relationship between the capital‐assets ratio and profitability is positive.
813 citations
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University of Edinburgh1, Durham University2, Australian National University3, Liverpool John Moores University4, University of New South Wales5, University of Oxford6, University of St Andrews7, University of Cambridge8, California Institute of Technology9, Johns Hopkins University10, University of Leeds11, University of Nottingham12
TL;DR: In this paper, the authors presented the power spectrum of the galaxy distribution, calculated using a direct Fourier transform based technique and showed that within the k-space region 0.02 less than or similar to k less than and similar to 0.15 h Mpc(-1), the shape of this spectrum should be close to that of the linear density perturbations convolved with the window function of the survey.
Abstract: The 2dF Galaxy Redshift Survey has now measured in excess of 160 000 galaxy redshifts. This paper presents the power spectrum of the galaxy distribution, calculated using a direct Fourier transform based technique. We argue that, within the k-space region 0.02 less than or similar to k less than or similar to 0.15 h Mpc(-1), the shape of this spectrum should be close to that of the linear density perturbations convolved with the window function of the survey. This window function and its convolving effect on the power spectrum estimate are analysed in detail. By convolving model spectra, we are able to fit the power-spectrum data and provide a measure of the matter content of the Universe. Our results show that models containing baryon oscillations are mildly preferred over featureless power spectra. Analysis of the data yields 68 per cent confidence limits on the total matter density times the Hubble parameter Omega (m) h = 0.20 +/- 0.03, and the baryon fraction Omega (b)/Omega (m) = 0.15 +/- 0.07, assuming scale-invariant primordial fluctuations.
812 citations
Authors
Showing all 16531 results
Name | H-index | Papers | Citations |
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Yi Chen | 217 | 4342 | 293080 |
Paul M. Thompson | 183 | 2271 | 146736 |
Ian J. Deary | 166 | 1795 | 114161 |
Dongyuan Zhao | 160 | 872 | 106451 |
Mark J. Smyth | 153 | 713 | 88783 |
Harry Campbell | 150 | 897 | 115457 |
William J. Sutherland | 148 | 966 | 94423 |
Thomas J. Smith | 140 | 1775 | 113919 |
John A. Peacock | 140 | 565 | 125416 |
Jean-Marie Tarascon | 136 | 853 | 137673 |
David A. Jackson | 136 | 1095 | 68352 |
Ian Ford | 134 | 678 | 85769 |
Timothy J. Mitchison | 133 | 404 | 66418 |
Will J. Percival | 129 | 473 | 87752 |
David P. Lane | 129 | 568 | 90787 |