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Institution

Monash University, Clayton campus

About: Monash University, Clayton campus is a(n) based out in . It is known for research contribution in the topic(s): Population & Poison control. The organization has 21634 authors who have published 41131 publication(s) receiving 1401421 citation(s).
Papers
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Journal ArticleDOI
B. P. Abbott1, Richard J. Abbott1, T. D. Abbott2, Fausto Acernese3  +1131 moreInstitutions (123)
TL;DR: The association of GRB 170817A, detected by Fermi-GBM 1.7 s after the coalescence, corroborates the hypothesis of a neutron star merger and provides the first direct evidence of a link between these mergers and short γ-ray bursts.
Abstract: On August 17, 2017 at 12∶41:04 UTC the Advanced LIGO and Advanced Virgo gravitational-wave detectors made their first observation of a binary neutron star inspiral. The signal, GW170817, was detected with a combined signal-to-noise ratio of 32.4 and a false-alarm-rate estimate of less than one per 8.0×10^{4} years. We infer the component masses of the binary to be between 0.86 and 2.26 M_{⊙}, in agreement with masses of known neutron stars. Restricting the component spins to the range inferred in binary neutron stars, we find the component masses to be in the range 1.17-1.60 M_{⊙}, with the total mass of the system 2.74_{-0.01}^{+0.04}M_{⊙}. The source was localized within a sky region of 28 deg^{2} (90% probability) and had a luminosity distance of 40_{-14}^{+8} Mpc, the closest and most precisely localized gravitational-wave signal yet. The association with the γ-ray burst GRB 170817A, detected by Fermi-GBM 1.7 s after the coalescence, corroborates the hypothesis of a neutron star merger and provides the first direct evidence of a link between these mergers and short γ-ray bursts. Subsequent identification of transient counterparts across the electromagnetic spectrum in the same location further supports the interpretation of this event as a neutron star merger. This unprecedented joint gravitational and electromagnetic observation provides insight into astrophysics, dense matter, gravitation, and cosmology.

5,922 citations



Journal ArticleDOI
Endel Tulving1, Donald M. Thomson2Institutions (2)
TL;DR: This paper describes and evaluates explanations offered by these theories to account for the effect of extralist cuing, facilitation of recall of list items by nonlist items.
Abstract: Recent changes in prctheorclical orientation toward problems of human memory have brought with them a concern with retrieval processes, and a number of early versions of theories of retrieval have been constructed. This paper describes and evaluates explanations offered by these theories to account for the effect of extralist cuing, facilitation of recall of list items by nonlist items. Experiments designed to test the currently most popular theory of retrieval, the generation-recognition theory, yielded results incompatible not only with generation-recognition models, but most other theories as well: under certain conditions subjects consistently failed to recognize many recallable list words. Several tentative explanations of this phenomenon of recognition failure were subsumed under the encoding specificity principle according to which the memory trace of an event and hence the properties of effective retrieval cue are determined by the specific encoding operations performed by the system on the input stimuli.

4,042 citations


Journal ArticleDOI
TL;DR: The goal in this review is to survey the recent key developments and issues within ionic-liquid research in these areas, and to generate interest in the wider community and encourage others to make use of ionic liquids in tackling scientific challenges.
Abstract: Ionic liquids are room-temperature molten salts, composed mostly of organic ions that may undergo almost unlimited structural variations. This review covers the newest aspects of ionic liquids in applications where their ion conductivity is exploited; as electrochemical solvents for metal/semiconductor electrodeposition, and as batteries and fuel cells where conventional media, organic solvents (in batteries) or water (in polymer-electrolyte-membrane fuel cells), fail. Biology and biomimetic processes in ionic liquids are also discussed. In these decidedly different materials, some enzymes show activity that is not exhibited in more traditional systems, creating huge potential for bioinspired catalysis and biofuel cells. Our goal in this review is to survey the recent key developments and issues within ionic-liquid research in these areas. As well as informing materials scientists, we hope to generate interest in the wider community and encourage others to make use of ionic liquids in tackling scientific challenges.

3,752 citations


Journal ArticleDOI
G.A. Watterson1Institutions (1)
TL;DR: The distribution is obtained for the number of segregating sites observed in a sample from a population which is subject to recurring, new, mutations but not subject to recombination, and applies approximately to three population models.
Abstract: The distribution is obtained for the number of segregating sites observed in a sample from a population which is subject to recurring, new, mutations but not subject to recombination. After allowance is made for the different effective population sizes, the results apply approximately to three population models, due to Wright, Burrows and Cockerham, and Moran. Included as extreme special cases are the distributions of the number of segregating sites in the whole population and of the number of heterozygous sites in a diploid individual. Some results of Fisher, Haldane, Kimura, and Ewens concerning the means of the distributions for different models are confirmed, but the variances, and the distributions themselves, are new.

3,720 citations


Authors

Showing all 21634 results

NameH-indexPapersCitations
David R. Williams1782034138789
Yang Yang1712644153049
Lei Jiang1702244135205
Carl W. Cotman165809105323
Dongyuan Zhao160872106451
Christopher J. O'Donnell159869126278
Mark E. Cooper1581463124887
Mark J. Smyth15371388783
Graham G. Giles136124980038
Tim J Cole13682792998
Jian Li133286387131
Paul Harrison133140080539
Jie Liu131153168891
Paul Zimmet128740140376
Neville Owen12770074166
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202268
20213,410
20203,017
20192,699
20182,281
20172,310