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: Advanced analysis topics covered include the use of multipliers to allow analysis of indirect surveys, the density surface modelling analysis engine for spatial and habitat modelling, and information about accessing the analysis engines directly from other software.
Abstract: Summary
1. Distance sampling is a widely used technique for estimating the size or density of biological populations. Many distance sampling designs and most analyses use the software Distance.
2. We briefly review distance sampling and its assumptions, outline the history, structure and capabilities of Distance, and provide hints on its use.
3. Good survey design is a crucial prerequisite for obtaining reliable results. Distance has a survey design engine, with a built-in geographic information system, that allows properties of different proposed designs to be examined via simulation, and survey plans to be generated.
4. A first step in analysis of distance sampling data is modelling the probability of detection. Distance contains three increasingly sophisticated analysis engines for this: conventional distance sampling, which models detection probability as a function of distance from the transect and assumes all objects at zero distance are detected; multiple-covariate distance sampling, which allows covariates in addition to distance; and mark–recapture distance sampling, which relaxes the assumption of certain detection at zero distance.
5. All three engines allow estimation of density or abundance, stratified if required, with associated measures of precision calculated either analytically or via the bootstrap.
6. Advanced analysis topics covered include the use of multipliers to allow analysis of indirect surveys (such as dung or nest surveys), the density surface modelling analysis engine for spatial and habitat modelling, and information about accessing the analysis engines directly from other software.
7.Synthesis and applications. Distance sampling is a key method for producing abundance and density estimates in challenging field conditions. The theory underlying the methods continues to expand to cope with realistic estimation situations. In step with theoretical developments, state-of-the-art software that implements these methods is described that makes the methods accessible to practising ecologists.
1,878 citations
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TL;DR: A balanced critical appraisal of the BUGS software is provided, highlighting how various ideas have led to unprecedented flexibility while at the same time producing negative side effects.
Abstract: BUGS is a software package for Bayesian inference using Gibbs sampling. The software has been instrumental in raising awareness of Bayesian modelling among both academic and commercial communities internationally, and has enjoyed considerable success over its 20-year life span. Despite this, the software has a number of shortcomings and a principal aim of this paper is to provide a balanced critical appraisal, in particular highlighting how various ideas have led to unprecedented flexibility while at the same time producing negative side effects. We also present a historical overview of the BUGS project and some future perspectives. Copyright © 2009 John Wiley & Sons, Ltd.
1,865 citations
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University of St Andrews1, University of Oldenburg2, Natural History Museum3, Naturalis4, Centre national de la recherche scientifique5, Michigan State University6, University of Lausanne7, University of Wyoming8, Queen Mary University of London9, University of Sheffield10, International Institute for Applied Systems Analysis11, University of Oslo12, University of Vienna13, University of Vermont14, University of East Anglia15, Spanish National Research Council16, University of Cambridge17, University of Konstanz18, University of Zurich19, Royal Botanic Garden Edinburgh20, Harvard University21, Autonomous University of Madrid22, Swiss Federal Institute of Aquatic Science and Technology23, Boston University24, Max Planck Society25, University of Neuchâtel26, University of North Carolina at Chapel Hill27, Lehigh University28, American Museum of Natural History29, University of Montpellier30, University of Liverpool31, Jagiellonian University32, Uppsala University33, German Primate Center34
TL;DR: A perspective on the context and evolutionary significance of hybridization during speciation is offered, highlighting issues of current interest and debate and suggesting that the Dobzhansky–Muller model of hybrid incompatibilities requires a broader interpretation.
Abstract: Hybridization has many and varied impacts on the process of speciation. Hybridization may slow or reverse differentiation by allowing gene flow and recombination. It may accelerate speciation via adaptive introgression or cause near-instantaneous speciation by allopolyploidization. It may have multiple effects at different stages and in different spatial contexts within a single speciation event. We offer a perspective on the context and evolutionary significance of hybridization during speciation, highlighting issues of current interest and debate. In secondary contact zones, it is uncertain if barriers to gene flow will be strengthened or broken down due to recombination and gene flow. Theory and empirical evidence suggest the latter is more likely, except within and around strongly selected genomic regions. Hybridization may contribute to speciation through the formation of new hybrid taxa, whereas introgression of a few loci may promote adaptive divergence and so facilitate speciation. Gene regulatory networks, epigenetic effects and the evolution of selfish genetic material in the genome suggest that the Dobzhansky-Muller model of hybrid incompatibilities requires a broader interpretation. Finally, although the incidence of reinforcement remains uncertain, this and other interactions in areas of sympatry may have knock-on effects on speciation both within and outside regions of hybridization.
1,715 citations
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TL;DR: Operation of the rechargeable Li-O2 battery depends critically on repeated and highly reversible formation/decomposition of lithium peroxide (Li2O2) at the cathode upon cycling, and it is shown that this process is possible with the use of a dimethyl sulfoxide electrolyte and a porous gold electrode.
Abstract: The rechargeable nonaqueous lithium-air (Li-O(2)) battery is receiving a great deal of interest because, theoretically, its specific energy far exceeds the best that can be achieved with lithium-ion cells. Operation of the rechargeable Li-O(2) battery depends critically on repeated and highly reversible formation/decomposition of lithium peroxide (Li(2)O(2)) at the cathode upon cycling. Here, we show that this process is possible with the use of a dimethyl sulfoxide electrolyte and a porous gold electrode (95% capacity retention from cycles 1 to 100), whereas previously only partial Li(2)O(2) formation/decomposition and limited cycling could occur. Furthermore, we present data indicating that the kinetics of Li(2)O(2) oxidation on charge is approximately 10 times faster than on carbon electrodes.
1,712 citations
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TL;DR: Improving adolescent health worldwide requires improving young people's daily life with families and peers and in schools, addressing risk and protective factors in the social environment at a population level, and focusing on factors that are protective across various health outcomes.
1,648 citations
Authors
Showing all 16531 results
Name | H-index | Papers | Citations |
---|---|---|---|
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 |