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
Papers
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TL;DR: A functional architecture for music processing that captures the typical properties of modular organization is proposed, which rests essentially on the analysis of music-related deficits in neurologically impaired individuals but provides useful guidelines for exploring the music faculty in normal people, using methods such as neuroimaging.
Abstract: The music faculty is not a monolithic entity that a person either has or does not. Rather, it comprises a set of neurally isolable processing components, each having the potential to be specialized for music. Here we propose a functional architecture for music processing that captures the typical properties of modular organization. The model rests essentially on the analysis of music-related deficits in neurologically impaired individuals, but provides useful guidelines for exploring the music faculty in normal people, using methods such as neuroimaging.
683 citations
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National Center for Atmospheric Research1, Meteorological Service of Canada2, Commonwealth Scientific and Industrial Research Organisation3, Geophysical Fluid Dynamics Laboratory4, University of Reading5, Science Applications International Corporation6, Princeton University7, Bureau of Meteorology8, University of Tokyo9, Macquarie University10, Goddard Space Flight Center11, University of California, Los Angeles12
TL;DR: The Global Land-Atmosphere Coupling Experiment (GLACE) as discussed by the authors is a model intercomparison study focusing on a typically neglected yet critical element of numerical weather and climate modeling: land-atmosphere coupling strength.
Abstract: The Global Land–Atmosphere Coupling Experiment (GLACE) is a model intercomparison study focusing on a typically neglected yet critical element of numerical weather and climate modeling: land–atmosphere coupling strength, or the degree to which anomalies in land surface state (e.g., soil moisture) can affect rainfall generation and other atmospheric processes. The 12 AGCM groups participating in GLACE performed a series of simple numerical experiments that allow the objective quantification of this element for boreal summer. The derived coupling strengths vary widely. Some similarity, however, is found in the spatial patterns generated by the models, with enough similarity to pinpoint multimodel “hot spots” of land–atmosphere coupling. For boreal summer, such hot spots for precipitation and temperature are found over large regions of Africa, central North America, and India; a hot spot for temperature is also found over eastern China. The design of the GLACE simulations are described in full detai...
681 citations
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TL;DR: How adequately genetic factors are currently incorporated into population viability analysis (PVA) models used to estimate minimum viable population sizes is assessed, and population size thresholds of the IUCN Red List criteria for threatened species that were derived from genetic considerations are related.
679 citations
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TL;DR: In this article, the authors used linked terrestrial biosphere, dust source, and atmospheric transport models to simulate the dust cycle in the atmosphere for current and last glacial maximum (LGM) climates.
Abstract: Mineral dust aerosols in the atmosphere have the potential to affect the global climate by influencing the radiative balance of the atmosphere and the supply of micronutrients to the ocean. Ice and marine sediment cores indicate that dust deposition from the atmosphere was at some locations 2–20 times greater during glacial periods, raising the possibility that mineral aerosols might have contributed to climate change on glacial-interglacial time scales. To address this question, we have used linked terrestrial biosphere, dust source, and atmospheric transport models to simulate the dust cycle in the atmosphere for current and last glacial maximum (LGM) climates. We obtain a 2.5-fold higher dust loading in the entire atmosphere and a twenty-fold higher loading in high latitudes, in LGM relative to present. Comparisons to a compilation of atmospheric dust deposition flux estimates for LGM and present in marine sediment and ice cores show that the simulated flux ratios are broadly in agreement with observations; differences suggest where further improvements in the simple dust model could be made. The simulated increase in high-latitude dustiness depends on the expansion of unvegetated areas, especially in the high latitudes and in central Asia, caused by a combination of increased aridity and low atmospheric [CO2]. The existence of these dust source areas at the LGM is supported by pollen data and loess distribution in the northern continents. These results point to a role for vegetation feedbacks, including climate effects and physiological effects of low [CO2], in modulating the atmospheric distribution of dust.
679 citations
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TL;DR: Initial longitudinal evidence for the decline of adolescent’s mental health during the COVID-19 pandemic is provided, suggesting that adolescents are more concerned about the government restrictions designed to contain the spread of the virus, than the virus itself, and that those concerns are associated with increased anxiety and depressive symptoms, and decreased life satisfaction.
Abstract: The restrictions put in place to contain the COVID-19 virus have led to widespread social isolation, impacting mental health worldwide. These restrictions may be particularly difficult for adolescents, who rely heavily on their peer connections for emotional support. However, there has been no longitudinal research examining the psychological impact of the COVID-19 pandemic among adolescents. This study addresses this gap by investigating the impact of the COVID-19 pandemic on adolescents' mental health, and moderators of change, as well as assessing the factors perceived as causing the most distress. Two hundred and forty eight adolescents (Mage = 14.4; 51% girls; 81.8% Caucasian) were surveyed over two time points; in the 12 months leading up to the COVID-19 outbreak (T1), and again two months following the implementation of government restrictions and online learning (T2). Online surveys assessed depressive symptoms, anxiety, and life satisfaction at T1 and T2, and participants' schooling, peer and family relationships, social connection, media exposure, COVID-19 related stress, and adherence to government stay-at-home directives at T2 only. In line with predictions, adolescents experienced significant increases in depressive symptoms and anxiety, and a significant decrease in life satisfaction from T1 to T2, which was particularly pronounced among girls. Moderation analyses revealed that COVID-19 related worries, online learning difficulties, and increased conflict with parents predicted increases in mental health problems from T1 to T2, whereas adherence to stay-at-home orders and feeling socially connected during the COVID-19 lockdown protected against poor mental health. This study provides initial longitudinal evidence for the decline of adolescent's mental health during the COVID-19 pandemic. The results suggest that adolescents are more concerned about the government restrictions designed to contain the spread of the virus, than the virus itself, and that those concerns are associated with increased anxiety and depressive symptoms, and decreased life satisfaction.
676 citations
Authors
Showing all 14346 results
Name | H-index | Papers | Citations |
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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 |