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Institution

University of Western Australia

EducationPerth, Western Australia, Australia
About: University of Western Australia is a education organization based out in Perth, Western Australia, Australia. It is known for research contribution in the topics: Population & Poison control. The organization has 29613 authors who have published 87405 publications receiving 3064466 citations. The organization is also known as: UWA & University of WA.


Papers
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Journal ArticleDOI
TL;DR: In this article, a review of literature indicates that fertilization with inorganic and organic forms of micronutrients has a potential to increase their concentrations in grain, and that the most effective fertilization could be via soil (for Zn and, to some extent, Cu), foliarly (for Fe) and by adding fertilizers to the irrigation water (for iodine).

422 citations

Journal ArticleDOI
Maggie Tse1, Haocun Yu1, N. Kijbunchoo2, A. Fernandez-Galiana1  +207 moreInstitutions (34)
TL;DR: During the ongoing O3 observation run, squeezed states are improving the sensitivity of the LIGO interferometers to signals above 50 Hz by up to 3 dB, thereby increasing the expected detection rate by 40% and 50% respectively.
Abstract: The Laser Interferometer Gravitational Wave Observatory (LIGO) has been directly detecting gravitational waves from compact binary mergers since 2015. We report on the first use of squeezed vacuum states in the direct measurement of gravitational waves with the Advanced LIGO H1 and L1 detectors. This achievement is the culmination of decades of research to implement squeezed states in gravitational-wave detectors. During the ongoing O3 observation run, squeezed states are improving the sensitivity of the LIGO interferometers to signals above 50 Hz by up to 3 dB, thereby increasing the expected detection rate by 40% (H1) and 50% (L1).

422 citations

Journal ArticleDOI
TL;DR: A singular value decomposition leads to a set of statistically independent variables which are used in the Grassberger-Procaccia algorithm to calculate the correlation dimension of an attractor from a scalar time series as mentioned in this paper.
Abstract: A singular-value decomposition leads to a set of statistically independent variables which are used in the Grassberger-Procaccia algorithm to calculate the correlation dimension of an attractor from a scalar time series. This combination alleviates some of the difficulties associated with each technique when used alone, and can significantly reduce the computational cost of estimating correlation dimensions from a time series.

421 citations

Journal ArticleDOI
TL;DR: This article argues that work design can be a powerful vehicle for learning and development, for maintaining and enhancing employees' physical and mental health, and for achieving control and flexibility simultaneously (for example, in the form of ambidexterity); all these outcomes are important given the challenges in today's workplaces.
Abstract: Much research shows it is possible to design motivating work, which has positive consequences for individuals and their organizations. This article reviews research that adopts this motivational perspective on work design, and it emphasizes that it is important to continue to refine motivational theories. In light of continued large numbers of poor-quality jobs, attention must also be given to influencing practice and policy to promote the effective implementation of enriched work designs. Nevertheless, current and future work-based challenges mean that designing work for motivation is necessary but insufficient. This review argues that work design can be a powerful vehicle for learning and development, for maintaining and enhancing employees' physical and mental health, and for achieving control and flexibility simultaneously (for example, in the form of ambidexterity); all these outcomes are important given the challenges in today's workplaces. The review concludes by suggesting methodological directions.

420 citations


Authors

Showing all 29972 results

NameH-indexPapersCitations
Nicholas G. Martin1921770161952
Cornelia M. van Duijn1831030146009
Kay-Tee Khaw1741389138782
Steven N. Blair165879132929
David W. Bates1591239116698
Mark E. Cooper1581463124887
David Cameron1541586126067
Stephen T. Holgate14287082345
Jeremy K. Nicholson14177380275
Xin Chen1391008113088
Graeme J. Hankey137844143373
David Stuart1361665103759
Joachim Heinrich136130976887
Carlos M. Duarte132117386672
David Smith1292184100917
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023138
2022656
20215,967
20205,589
20195,452
20184,923