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Institution

Liverpool John Moores University

EducationLiverpool, United Kingdom
About: Liverpool John Moores University is a education organization based out in Liverpool, United Kingdom. It is known for research contribution in the topics: Galaxy & Population. The organization has 5700 authors who have published 19031 publications receiving 628413 citations. The organization is also known as: LJMU & Liverpool Polytechnic.
Topics: Galaxy, Population, Star formation, Stars, Redshift


Papers
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Journal ArticleDOI
TL;DR: Attention is focussed on the ROS/RNS-linked pathogenesis of cancer, cardiovascular disease, atherosclerosis, hypertension, ischemia/reperfusion injury, diabetes mellitus, neurodegenerative diseases, rheumatoid arthritis, and ageing.

12,240 citations

Journal ArticleDOI
TL;DR: Gaia as discussed by the authors is a cornerstone mission in the science programme of the European Space Agency (ESA). The spacecraft construction was approved in 2006, following a study in which the original interferometric concept was changed to a direct-imaging approach.
Abstract: Gaia is a cornerstone mission in the science programme of the EuropeanSpace Agency (ESA). The spacecraft construction was approved in 2006, following a study in which the original interferometric concept was changed to a direct-imaging approach. Both the spacecraft and the payload were built by European industry. The involvement of the scientific community focusses on data processing for which the international Gaia Data Processing and Analysis Consortium (DPAC) was selected in 2007. Gaia was launched on 19 December 2013 and arrived at its operating point, the second Lagrange point of the Sun-Earth-Moon system, a few weeks later. The commissioning of the spacecraft and payload was completed on 19 July 2014. The nominal five-year mission started with four weeks of special, ecliptic-pole scanning and subsequently transferred into full-sky scanning mode. We recall the scientific goals of Gaia and give a description of the as-built spacecraft that is currently (mid-2016) being operated to achieve these goals. We pay special attention to the payload module, the performance of which is closely related to the scientific performance of the mission. We provide a summary of the commissioning activities and findings, followed by a description of the routine operational mode. We summarise scientific performance estimates on the basis of in-orbit operations. Several intermediate Gaia data releases are planned and the data can be retrieved from the Gaia Archive, which is available through the Gaia home page.

5,164 citations

Journal ArticleDOI
TL;DR: The posterior probability of meeting the target of halting by 2025 the rise in obesity at its 2010 levels, if post-2000 trends continue, is calculated.

3,766 citations

Journal ArticleDOI
TL;DR: It is recommended that sports clinicians and researchers should cite and interpret a number of statistical methods for assessing reliability and encourage the inclusion of the LOA method, especially the exploration of heteroscedasticity that is inherent in this analysis.
Abstract: Minimal measurement error (reliability) during the collection of interval- and ratio-type data is critically important to sports medicine research. The main components of measurement error are systematic bias (e.g. general learning or fatigue effects on the tests) and random error due to biological or mechanical variation. Both error components should be meaningfully quantified for the sports physician to relate the described error to judgements regarding ‘analytical goals’ (the requirements of the measurement tool for effective practical use) rather than the statistical significance of any reliability indicators.

3,284 citations

Journal ArticleDOI
TL;DR: The Virgo Consortium's EAGLE project as discussed by the authors is a suite of hydrodynamical simulations that follow the formation of galaxies and black holes in representative volumes, where thermal energy is injected into the gas, allowing winds to develop without predetermined speed or mass loading factors.
Abstract: We introduce the Virgo Consortium's EAGLE project, a suite of hydrodynamical simulations that follow the formation of galaxies and black holes in representative volumes. We discuss the limitations of such simulations in light of their finite resolution and poorly constrained subgrid physics, and how these affect their predictive power. One major improvement is our treatment of feedback from massive stars and AGN in which thermal energy is injected into the gas without the need to turn off cooling or hydrodynamical forces, allowing winds to develop without predetermined speed or mass loading factors. Because the feedback efficiencies cannot be predicted from first principles, we calibrate them to the z~0 galaxy stellar mass function and the amplitude of the galaxy-central black hole mass relation, also taking galaxy sizes into account. The observed galaxy mass function is reproduced to ≲0.2 dex over the full mass range, 108

2,828 citations


Authors

Showing all 5809 results

NameH-indexPapersCitations
Gregory Y.H. Lip1693159171742
Nicholas J. White1611352104539
Steven Williams144137586712
James Dunlop13270168131
Dan Green129101083280
Avishay Gal-Yam12979556382
Peter Nugent12775492988
Matthew Jones125116196909
David M. Richardson11957559759
David Harvey11573894678
Paolo A. Mazzali11252041492
Robert K. Heaton11253851181
Simon P. Driver10945546299
Hans Böhringer10349443076
Chris A. Collins10239444715
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202344
2022186
20211,428
20201,574
20191,464
20181,295