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Institution

Cardiff University

EducationCardiff, United Kingdom
About: Cardiff University is a education organization based out in Cardiff, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 34188 authors who have published 82643 publications receiving 3046531 citations. The organization is also known as: University of Cardiff & University College of South Wales and Monmouthshire.


Papers
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Journal ArticleDOI
TL;DR: In this paper, an implementation structure of Industry 4.0, consisting of a multi-layered framework is described, and is shown how it can assist people in understanding and achieving the requirements of Industry 5.0.

718 citations

Journal ArticleDOI
B. P. Abbott1, Richard J. Abbott2, T. D. Abbott, Fausto Acernese3  +1157 moreInstitutions (70)
TL;DR: In this paper, the authors improved initial estimates of the binary's properties, including component masses, spins, and tidal parameters, using the known source location, improved modeling, and recalibrated Virgo data.
Abstract: On August 17, 2017, the Advanced LIGO and Advanced Virgo gravitational-wave detectors observed a low-mass compact binary inspiral. The initial sky localization of the source of the gravitational-wave signal, GW170817, allowed electromagnetic observatories to identify NGC 4993 as the host galaxy. In this work, we improve initial estimates of the binary's properties, including component masses, spins, and tidal parameters, using the known source location, improved modeling, and recalibrated Virgo data. We extend the range of gravitational-wave frequencies considered down to 23 Hz, compared to 30 Hz in the initial analysis. We also compare results inferred using several signal models, which are more accurate and incorporate additional physical effects as compared to the initial analysis. We improve the localization of the gravitational-wave source to a 90% credible region of 16 deg2. We find tighter constraints on the masses, spins, and tidal parameters, and continue to find no evidence for nonzero component spins. The component masses are inferred to lie between 1.00 and 1.89 M when allowing for large component spins, and to lie between 1.16 and 1.60 M (with a total mass 2.73-0.01+0.04 M) when the spins are restricted to be within the range observed in Galactic binary neutron stars. Using a precessing model and allowing for large component spins, we constrain the dimensionless spins of the components to be less than 0.50 for the primary and 0.61 for the secondary. Under minimal assumptions about the nature of the compact objects, our constraints for the tidal deformability parameter Λ are (0,630) when we allow for large component spins, and 300-230+420 (using a 90% highest posterior density interval) when restricting the magnitude of the component spins, ruling out several equation-of-state models at the 90% credible level. Finally, with LIGO and GEO600 data, we use a Bayesian analysis to place upper limits on the amplitude and spectral energy density of a possible postmerger signal.

715 citations

Journal ArticleDOI
TL;DR: The authors used two representative postal surveys of the UK public to measure scepticism and uncertainty about climate change; determine how scepticism varies according to individual characteristics, knowledge, and values; and examine how climate change has changed over time.
Abstract: While scientific consensus and political and media messages appear to be increasingly certain, public attitudes and action towards the issue do not appear to be following suit. Popular and academic debate often assumes this is due to ignorance or misunderstanding on the part of the public, but some studies have suggested political beliefs and values may play a more important role in determining belief versus scepticism about climate change. The current research used two representative postal surveys of the UK public to: measure scepticism and uncertainty about climate change; determine how scepticism varies according to individual characteristics, knowledge and values; and examine how scepticism has changed over time. Findings show denial of climate change is less common than the perception that the issue has been exaggerated. Scepticism was found to be strongly determined by individuals’ environmental and political values (and indirectly by age, gender, location and lifestyle) rather than by education or knowledge. Between 2003 and 2008, public uncertainty about climate change has remained remarkably constant, although belief that claims about the issue are exaggerated has doubled over that period. These results are interpreted with reference to psychological concepts of motivated reasoning, confirmation bias and ‘finite pool of worry’. Implications for communication and policy are discussed.

714 citations

Journal ArticleDOI
TL;DR: It is shown that loss of Apc acutely activates Wnt signaling through the nuclear accumulation of beta-catenin, which perturbs differentiation, migration, proliferation, and apoptosis, such that Apc-deficient cells maintain a "crypt progenitor-like" phenotype.
Abstract: Although Apc is well characterized as a tumor-suppressor gene in the intestine, the precise mechanism of this suppression remains to be defined Using a novel inducible Ahcre transgenic line in conjunction with a loxP-flanked Apc allele we, show that loss of Apc acutely activates Wnt signaling through the nuclear accumulation of β-catenin Coincidentally, it perturbs differentiation, migration, proliferation, and apoptosis, such that Apc-deficient cells maintain a “crypt progenitor-like” phenotype Critically, for the first time we confirm a series of Wnt target molecules in an in vivo setting and also identify a series of new candidate targets within the same setting

714 citations

Journal ArticleDOI
Paul M. Thompson1, Jason L. Stein2, Sarah E. Medland3, Derrek P. Hibar1  +329 moreInstitutions (96)
TL;DR: The ENIGMA Consortium has detected factors that affect the brain that no individual site could detect on its own, and that require larger numbers of subjects than any individual neuroimaging study has currently collected.
Abstract: The Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Consortium is a collaborative network of researchers working together on a range of large-scale studies that integrate data from 70 institutions worldwide. Organized into Working Groups that tackle questions in neuroscience, genetics, and medicine, ENIGMA studies have analyzed neuroimaging data from over 12,826 subjects. In addition, data from 12,171 individuals were provided by the CHARGE consortium for replication of findings, in a total of 24,997 subjects. By meta-analyzing results from many sites, ENIGMA has detected factors that affect the brain that no individual site could detect on its own, and that require larger numbers of subjects than any individual neuroimaging study has currently collected. ENIGMA's first project was a genome-wide association study identifying common variants in the genome associated with hippocampal volume or intracranial volume. Continuing work is exploring genetic associations with subcortical volumes (ENIGMA2) and white matter microstructure (ENIGMA-DTI). Working groups also focus on understanding how schizophrenia, bipolar illness, major depression and attention deficit/hyperactivity disorder (ADHD) affect the brain. We review the current progress of the ENIGMA Consortium, along with challenges and unexpected discoveries made on the way.

713 citations


Authors

Showing all 34629 results

NameH-indexPapersCitations
Rob Knight2011061253207
Stephen V. Faraone1881427140298
John J.V. McMurray1781389184502
David R. Williams1782034138789
John Hardy1771178171694
Dorret I. Boomsma1761507136353
Kay-Tee Khaw1741389138782
Anders Björklund16576984268
Edward T. Bullmore165746112463
Peter A. R. Ade1621387138051
Michael John Owen1601110135795
Gavin Davies1592036149835
Suvadeep Bose154960129071
Todd Adams1541866143110
John R. Hodges14981282709
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023139
2022769
20214,868
20204,931
20194,464
20184,379