Institution
Macquarie University
Education•Sydney, New South Wales, Australia•
About: Macquarie University is a education organization based out in Sydney, New South Wales, Australia. It is known for research contribution in the topics: Population & Laser. The organization has 14075 authors who have published 47673 publications receiving 1416184 citations. The organization is also known as: Macquarie uni.
Topics: Population, Laser, Galaxy, Anxiety, Mantle (geology)
Papers published on a yearly basis
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TL;DR: This paper proposes an end-to-end model for infrared and visible image fusion based on detail preserving adversarial learning that is able to overcome the limitations of the manual and complicated design of activity-level measurement and fusion rules in traditional fusion methods.
251 citations
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TL;DR: Patients who received counselling showed a significantly greater mean reduction in a quantity-frequency measure of weekly alcohol consumption than controls but there were no significant differences in reduced consumption between the two intervention groups.
Abstract: Although the prevalence of heavy alcohol consumption among patients of general hospitals is well documented, no study has yet reported an effect of counselling on the ward in reducing the level of consumption among such patients after discharge. This study was designed to evaluate brief counselling to reduce alcohol consumption among male heavy drinkers identified on general hospital wards. Male patients were screened on wards of four teaching hospitals in Sydney, Australia. Identified heavy drinkers (n = 174) showing predominantly low levels of alcohol dependence were allocated to one of two forms of brief counselling (skills-based counselling or brief motivational interviewing) or to a non-intervention control group. Blind follow-up for 123 patients (71%) was carried out approximately 6 months after discharge from hospital and self-reports of alcohol consumption were compared with collateral sources of information. Patients who received counselling showed a significantly greater mean reduction in a quantity-frequency measure of weekly alcohol consumption than controls but there were no significant differences in reduced consumption between the two intervention groups. However, patients who were deemed "not ready to change" showed greater reductions if they had received brief motivational interviewing than if they had received skills-based counselling. The implications of these findings for counselling male in-patients to reduce alcohol consumption are discussed.
251 citations
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TL;DR: Two different Dirichlet multinomial topic models are extended by incorporating latent feature vector representations of words trained on very large corpora to improve the word-topic mapping learnt on a smaller corpus.
Abstract: Probabilistic topic models are widely used to discover latent topics in document collections, while latent feature vector representations of words have been used to obtain high performance in many NLP tasks. In this paper, we extend two different Dirichlet multinomial topic models by incorporating latent feature vector representations of words trained on very large corpora to improve the word-topic mapping learnt on a smaller corpus. Experimental results show that by using information from the external corpora, our new models produce significant improvements on topic coherence, document clustering and document classification tasks, especially on datasets with few or short documents.
251 citations
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University of Cambridge1, Complutense University of Madrid2, Max Planck Society3, Spanish National Research Council4, Leibniz Association5, ASTRON6, Universidade Federal de Santa Catarina7, University of La Laguna8, University of Vienna9, Centre national de la recherche scientifique10, University of Sydney11, Ruhr University Bochum12, Autonomous University of Madrid13, University of Granada14, University of Copenhagen15, University of Sheffield16, University of Missouri–Kansas City17, Earth System Research Laboratory18, Macquarie University19, University of Porto20, Kapteyn Astronomical Institute21, Heidelberg University22, National Institute of Astrophysics, Optics and Electronics23, Imperial College London24, Technical University of Lisbon25, Royal Military College of Canada26, University of St Andrews27, INAF28
TL;DR: The first public data release (DR1) of the Calar Alto Legacy Integral Field Area (CALIFA) survey is presented in this article, which consists of science-grade optical datacubes for the first 100 of eventually 600 nearby (0.005 < z < 0.03) galaxies, obtained with the integral field spectrograph PMAS/PPak mounted on the 3.5 m telescope at the Calal Alto observatory.
Abstract: We present the first public data release (DR1) of the Calar Alto Legacy Integral Field Area (CALIFA) survey. It consists of science-grade optical datacubes for the first 100 of eventually 600 nearby (0.005 < z < 0.03) galaxies, obtained with the integral-field spectrograph PMAS/PPak mounted on the 3.5 m telescope at the Calar Alto observatory. The galaxies in DR1 already cover a wide range of properties in color-magnitude space, morphological type, stellar mass, and gas ionization conditions. This offers the potential to tackle a variety of open questions in galaxy evolution using spatially resolved spectroscopy. Two different spectral setups are available for each galaxy, (i) a low-resolution V500 setup covering the nominal wavelength range 3745-7500 angstrom with a spectral resolution of 6.0 angstrom (FWHM), and (ii) a medium-resolution V1200 setup covering the nominal wavelength range 3650-4840 angstrom with a spectral resolution of 2.3 angstrom (FWHM). We present the characteristics and data structure of the CALIFA datasets that should be taken into account for scientific exploitation of the data, in particular the effects of vignetting, bad pixels and spatially correlated noise. The data quality test for all 100 galaxies showed that we reach a median limiting continuum sensitivity of 1.0 x 10(-18) erg s(-1) cm(-2) angstrom(-1) arcsec(-2) at 5635 angstrom and 2.2 x 10(-18) erg s(-1) cm(-2) angstrom(-1) arcsec(-2) at 4500 angstrom for the V500 and V1200 setup respectively, which corresponds to limiting r and g band surface brightnesses of 23.6 mag arcsec(-2) and 23.4 mag arcsec(-2), or an unresolved emission-line flux detection limit of roughly 1 x 10(-17) erg s(-1) cm(-2) arcsec(-2) and 0.6 x 10(-17) erg s(-1) cm(-2) arcsec(-2), respectively. The median spatial resolution is 3 ''.7, and the absolute spectrophotometric calibration is better than 15% (1 sigma). We also describe the available interfaces and tools that allow easy access to this first public CALIFA data at http://califa.caha.es/DR1.
251 citations
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TL;DR: A methodology for designing e‐learning experiences by matching the affordance requirements of tasks with the affordances offered by the available technologies is described, designed to be adjustable, expandable, and applied to various degrees of rigor depending on the context.
Abstract: This article presents a design methodology for matching learning tasks with learning technologies First a working definition of “affordances” is provided based on the need to describe the action potentials of the technologies (utility) Categories of affordances are then proposed to provide a framework for analysis Following this, a methodology for designing e‐learning experiences by matching the affordance requirements of tasks with the affordances offered by the available technologies is described Rather than being prescriptive, the methodology is designed to be adjustable, expandable, and applied to various degrees of rigor depending on the context An example application of the methodology is provided for illustrative purposes Une analyse des capacites – Faire correspondre les tâches d’apprentissage avec les technologies d’apprentissage Cet article presente une methodologie de conception permettant la mise en phase des tâches d’apprentissage avec les technologies d’apprentissage On fournit tout d
251 citations
Authors
Showing all 14346 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yang Yang | 171 | 2644 | 153049 |
Peter B. Reich | 159 | 790 | 110377 |
Nicholas J. Talley | 158 | 1571 | 90197 |
John R. Hodges | 149 | 812 | 82709 |
Thomas J. Smith | 140 | 1775 | 113919 |
Andrew G. Clark | 140 | 823 | 123333 |
Joss Bland-Hawthorn | 136 | 1114 | 77593 |
John F. Thompson | 132 | 1420 | 95894 |
Xin Wang | 121 | 1503 | 64930 |
William L. Griffin | 117 | 862 | 61494 |
Richard Shine | 115 | 1096 | 56544 |
Ian T. Paulsen | 112 | 354 | 69460 |
Jianjun Liu | 112 | 1040 | 71032 |
Douglas R. MacFarlane | 110 | 864 | 54236 |
Richard A. Bryant | 109 | 769 | 43971 |