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)
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University of Tokyo1, University of Wisconsin-Madison2, University of Toronto3, University of Kentucky4, University of Texas at Austin5, University of Washington6, University of St Andrews7, University of Portsmouth8, European Southern Observatory9, University of Nottingham10, National Autonomous University of Mexico11, University of Pittsburgh12, University of Cambridge13, New Mexico State University14, Carnegie Institution for Science15, University of Sydney16, New York University17, University of Utah18, University of Oxford19, University of California, Santa Cruz20, Max Planck Society21, École normale supérieure de Lyon22, Claude Bernard University Lyon 123, Texas Christian University24, University of Iowa25, Princeton University26, Case Western Reserve University27, University of La Laguna28, Chinese Academy of Sciences29, Academia Sinica30, University of Manchester31, Australian Astronomical Observatory32, Macquarie University33, Yale University34, Lawrence Berkeley National Laboratory35, University of Potsdam36, University of Victoria37, University of Groningen38
TL;DR: MaNGA (Mapping Nearby Galaxies at Apache Point Observatory) as discussed by the authors employs dithered observations with 17 fiber-bundle integral field units that vary in diameter from 12" (19 fibers) to 32" (127 fibers).
Abstract: We present an overview of a new integral field spectroscopic survey called MaNGA (Mapping Nearby Galaxies at Apache Point Observatory), one of three core programs in the fourth-generation Sloan Digital Sky Survey (SDSS-IV) that began on 2014 July 1. MaNGA will investigate the internal kinematic structure and composition of gas and stars in an unprecedented sample of 10,000 nearby galaxies. We summarize essential characteristics of the instrument and survey design in the context of MaNGA's key science goals and present prototype observations to demonstrate MaNGA's scientific potential. MaNGA employs dithered observations with 17 fiber-bundle integral field units that vary in diameter from 12" (19 fibers) to 32" (127 fibers). Two dual-channel spectrographs provide simultaneous wavelength coverage over 3600-10300 A at R~2000. With a typical integration time of 3 hr, MaNGA reaches a target r-band signal-to-noise ratio of 4-8 (per A, per 2" fiber) at 23 AB mag per sq. arcsec, which is typical for the outskirts of MaNGA galaxies. Targets are selected with stellar mass greater than 1e9 Msun using SDSS-I redshifts and i-band luminosity to achieve uniform radial coverage in terms of the effective radius, an approximately flat distribution in stellar mass, and a sample spanning a wide range of environments. Analysis of our prototype observations demonstrates MaNGA's ability to probe gas ionization, shed light on recent star formation and quenching, enable dynamical modeling, decompose constituent components, and map the composition of stellar populations. MaNGA's spatially resolved spectra will enable an unprecedented study of the astrophysics of nearby galaxies in the coming 6 yr.
235 citations
TL;DR: The functional failure of the FASB's Conceptual Framework is attributed to the fact that it is elaborated around a highly problematic conception of the relationship between financial accounting and economic reality.
Abstract: This paper addresses the functional failure of the FASB's Conceptual Framework. It suggests that the reason for the problems encountered by the FASB in its CF project (and those encountered in other CF projects), is that the FASB CF is elaborated around a highly problematic conception of the relationship between financial accounting and economic reality. The CF involves a process of mundane reasoning around a central incorrigible proposition of our society, that social reality exists objectively and intersubjectively. This paper draws on anthropology to show that this assumption of a concrete, objective social reality is a product of everyday reasoning such as that of the FASB members. A comparison of the FASB's reasoning about economic reality, with the reasoning of the African Azande about their poison oracle reality, shows how those two realities are both socially maintained by the same process of commonsense reasoning. A number of important implications follow which extend beyond CFs and financial accounting practices. These implications relate to the essential culture and value-dependency of logic, reasoning and rationality, and have attendant inferences for the potential role of accounting researchers in influencing society rather than merely participating in the legitimizing and reproduction of the status quo .
235 citations
TL;DR: The persistence of indigenous ontologies rooted in human systems that pre-date the creation of colonial property rights and assertions of frontier conquest and dispossession unsettles the United States as mentioned in this paper.
Abstract: . The persistence of indigenous ontologies rooted in human systems that pre‐date the creation of colonial property rights and assertions of frontier conquest and dispossession unsettles the...
235 citations
Max Planck Society1, Australian National University2, University of Sydney3, University of Ljubljana4, Uppsala University5, Stockholm University6, University of New South Wales7, Monash University8, Macquarie University9, Aarhus University10, Leibniz Institute for Astrophysics Potsdam11, University of Southern Queensland12, International Space Science Institute13, Lund University14, University of Western Australia15, Kapteyn Astronomical Institute16, University of Hertfordshire17, Swinburne University of Technology18, Johns Hopkins University19, York University20, Columbia University21
TL;DR: In this paper, the accepted manuscript version of an article which has been published in final form at https://doi.org/10.1093/mnras/stab1242
Abstract: © 2021 The Author(s) Published by Oxford University Press on behalf of the Royal Astronomical Society. This is the accepted manuscript version of an article which has been published in final form at https://doi.org/10.1093/mnras/stab1242
235 citations
TL;DR: A compartment model of honey bee colony population dynamics is developed to explore the impact of different death rates of forager bees on colony growth and development and suggests that colony failure can be understood in terms of observed principles of Honey bee population dynamics.
Abstract: Since 2006 the rate of honey bee colony failure has increased significantly. As an aid to testing hypotheses for the causes of colony failure we have developed a compartment model of honey bee colony population dynamics to explore the impact of different death rates of forager bees on colony growth and development. The model predicts a critical threshold forager death rate beneath which colonies regulate a stable population size. If death rates are sustained higher than this threshold rapid population decline is predicted and colony failure is inevitable. The model also predicts that high forager death rates draw hive bees into the foraging population at much younger ages than normal, which acts to accelerate colony failure. The model suggests that colony failure can be understood in terms of observed principles of honey bee population dynamics, and provides a theoretical framework for experimental investigation of the problem.
235 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 |