Institution
Victoria University of Wellington
Education•Wellington, Wellington, New Zealand•
About: Victoria University of Wellington is a education organization based out in Wellington, Wellington, New Zealand. It is known for research contribution in the topics: Population & Context (language use). The organization has 8148 authors who have published 24697 publications receiving 607298 citations. The organization is also known as: Victoria College & Victoria University Wellington.
Papers published on a yearly basis
Papers
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TL;DR: The use (and misuse) of GLMMs in ecology and evolution are reviewed, estimation and inference are discussed, and 'best-practice' data analysis procedures for scientists facing this challenge are summarized.
Abstract: How should ecologists and evolutionary biologists analyze nonnormal data that involve random effects? Nonnormal data such as counts or proportions often defy classical statistical procedures. Generalized linear mixed models (GLMMs) provide a more flexible approach for analyzing nonnormal data when random effects are present. The explosion of research on GLMMs in the last decade has generated considerable uncertainty for practitioners in ecology and evolution. Despite the availability of accurate techniques for estimating GLMM parameters in simple cases, complex GLMMs are challenging to fit and statistical inference such as hypothesis testing remains difficult. We review the use (and misuse) of GLMMs in ecology and evolution, discuss estimation and inference and summarize 'best-practice' data analysis procedures for scientists facing this challenge.
7,207 citations
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Joint Global Change Research Institute1, National Center for Atmospheric Research2, Victoria University of Wellington3, Electric Power Research Institute4, Netherlands Environmental Assessment Agency5, Finnish Environment Institute6, National Institute for Environmental Studies7, Met Office8, International Institute for Applied Systems Analysis9, Vienna University of Technology10, National Oceanic and Atmospheric Administration11, Stanford University12, Oak Ridge National Laboratory13
TL;DR: A new process for creating plausible scenarios to investigate some of the most challenging and important questions about climate change confronting the global community is described.
Abstract: Advances in the science and observation of climate change are providing a clearer understanding of the inherent variability of Earth's climate system and its likely response to human and natural influences. The implications of climate change for the environment and society will depend not only on the response of the Earth system to changes in radiative forcings, but also on how humankind responds through changes in technology, economies, lifestyle and policy. Extensive uncertainties exist in future forcings of and responses to climate change, necessitating the use of scenarios of the future to explore the potential consequences of different response options. To date, such scenarios have not adequately examined crucial possibilities, such as climate change mitigation and adaptation, and have relied on research processes that slowed the exchange of information among physical, biological and social scientists. Here we describe a new process for creating plausible scenarios to investigate some of the most challenging and important questions about climate change confronting the global community.
5,670 citations
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TL;DR: This review covers the literature published in 2014 for marine natural products, with 1116 citations referring to compounds isolated from marine microorganisms and phytoplankton, green, brown and red algae, sponges, cnidarians, bryozoans, molluscs, tunicates, echinoderms, mangroves and other intertidal plants and microorganisms.
4,649 citations
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02 Apr 2001TL;DR: Learning Vocabulary in Another Language Second Edition shows that by taking a systematic approach to vocabulary learning, teachers can make the best use of class time and help learners get the best return for their learning effort.
Abstract: Learning Vocabulary in Another Language Second Edition is an updated version of this key reference work in the area of second and foreign language vocabulary studies. The book provides a detailed survey of research and theory on the teaching and learning of vocabulary with the aim of providing pedagogical suggestions for both teachers and learners. It contains descriptions of numerous vocabulary learning strategies which are justified and supported by reference to experimental research, case studies, and teaching experience. It also describes what vocabulary learners need to know to be effective language users. Learning Vocabulary in Another Language Second Edition shows that by taking a systematic approach to vocabulary learning, teachers can make the best use of class time and help learners get the best return for their learning effort.
3,738 citations
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TL;DR: In this paper, the Bose-Hubbard model was used to model the phase transition from the superfluid to the Mott insulator phase induced by varying the depth of the optical potential.
Abstract: The dynamics of an ultracold dilute gas of bosonic atoms in an optical lattice can be described by a Bose-Hubbard model where the system parameters are controlled by laser light We study the continuous (zero temperature) quantum phase transition from the superfluid to the Mott insulator phase induced by varying the depth of the optical potential, where the Mott insulator phase corresponds to a commensurate filling of the lattice (``optical crystal'') Examples for formation of Mott structures in optical lattices with a superimposed harmonic trap and in optical superlattices are presented
2,873 citations
Authors
Showing all 8342 results
Name | H-index | Papers | Citations |
---|---|---|---|
Cyrus Cooper | 204 | 1869 | 206782 |
Jie Zhang | 178 | 4857 | 221720 |
Alex J. Barker | 132 | 1273 | 84746 |
Richard J. Simpson | 113 | 850 | 59378 |
Douglas R. MacFarlane | 110 | 864 | 54236 |
Alan Cooper | 108 | 746 | 45772 |
Neil Pearce | 107 | 729 | 105762 |
Richard J. K. Taylor | 91 | 1543 | 43893 |
Richard Beasley | 90 | 621 | 45696 |
Graeme Eisenhofer | 89 | 534 | 30487 |
Fred W. Allendorf | 86 | 230 | 34738 |
Peter J. Stang | 85 | 596 | 35603 |
Andrew J. Martin | 84 | 819 | 36203 |
Matt Visser | 82 | 574 | 24896 |
Santosh Kumar | 80 | 1196 | 29391 |