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Institution

Keele University

EducationNewcastle-under-Lyme, United Kingdom
About: Keele University is a education organization based out in Newcastle-under-Lyme, United Kingdom. It is known for research contribution in the topics: Population & Stars. The organization has 11318 authors who have published 26323 publications receiving 894671 citations. The organization is also known as: Keele University.
Topics: Population, Stars, Health care, Galaxy, Planet


Papers
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Journal ArticleDOI
TL;DR: Digital twins as discussed by the authors is an emerging concept that has become the centre of attention for industry and, in recent years, academia and a review of publications relating to Digital Twins is performed, producing a categorical review of recent papers.
Abstract: Digital Twin technology is an emerging concept that has become the centre of attention for industry and, in more recent years, academia. The advancements in industry 4.0 concepts have facilitated its growth, particularly in the manufacturing industry. The Digital Twin is defined extensively but is best described as the effortless integration of data between a physical and virtual machine in either direction. The challenges, applications, and enabling technologies for Artificial Intelligence, Internet of Things (IoT) and Digital Twins are presented. A review of publications relating to Digital Twins is performed, producing a categorical review of recent papers. The review has categorised them by research areas: manufacturing, healthcare and smart cities, discussing a range of papers that reflect these areas and the current state of research. The paper provides an assessment of the enabling technologies, challenges and open research for Digital Twins.

739 citations

Journal ArticleDOI
TL;DR: Knee pain is an imprecise marker of radiographic knee osteoarthritis but this depends on the extent of radiography views used, and Radiographic knee OA is likewise anImprecise guide to the likelihood that knee pain or disability will be present.
Abstract: Background Studies have suggested that the symptoms of knee osteoarthritis (OA) are rather weakly associated with radiographic findings and vice versa. Our objectives were to identify estimates of the prevalence of radiographic knee OA in adults with knee pain and of knee pain in adults with radiographic knee OA, and determine if the definitions of x ray osteoarthritis and symptoms, and variation in demographic factors influence these estimates.

738 citations

Journal ArticleDOI
15 Jan 2009-Oncogene
TL;DR: GAS5 transcript levels were significantly reduced in breast cancer samples relative to adjacent unaffected normal breast epithelial tissues, suggesting that such snoRNAs form a novel family of genes controlling oncogenesis and sensitivity to therapy in cancer.
Abstract: Effective control of both cell survival and cell proliferation is critical to the prevention of oncogenesis and to successful cancer therapy. Using functional expression cloning, we have identified GAS5 (growth arrest-specific transcript 5) as critical to the control of mammalian apoptosis and cell population growth. GAS5 transcripts are subject to complex post-transcriptional processing and some, but not all, GAS5 transcripts sensitize mammalian cells to apoptosis inducers. We have found that, in some cell lines, GAS5 expression induces growth arrest and apoptosis independently of other stimuli. GAS5 transcript levels were significantly reduced in breast cancer samples relative to adjacent unaffected normal breast epithelial tissues. The GAS5 gene has no significant protein-coding potential but expression encodes small nucleolar RNAs (snoRNAs) in its introns. Taken together with the recent demonstration of tumor suppressor characteristics in the related snoRNA U50, our observations suggest that such snoRNAs form a novel family of genes controlling oncogenesis and sensitivity to therapy in cancer.

726 citations

Journal ArticleDOI
TL;DR: SIFT-MS studies include breath and urinary headspace studies of metabolites, ethanol metabolism, elevated acetone during ovulation, and exogenous compounds; and urinary infection and the presence of tumors, the influence of dialysis on breath ammonia, acetone, and isoprene, and acetaldehyde released by cancer cells in vitro.
Abstract: Selected ion flow tube mass spectrometry (SIFT-MS) is a new analytical technique for the real-time quantification of several trace gases simultaneously in air and breath. It relies on chemical ionization of the trace gas molecules in air/breath samples introduced into helium carrier gas using H(3)O(+), NO(+), and O(2) (+.) precursor ions. Reactions between the precursor ions and trace gas molecules proceed for an accurately defined time, the precursor and product ions being detected and counted by a downstream mass spectrometer, thus effecting quantification. Absolute concentrations of trace gases in single breath exhalation can be determined by SIFT-MS down to ppb levels, obviating sample collection and calibration. Illustrative examples of SIFT-MS studies include (i) analysis of gases from combustion engines, animals and their waste, and food; (ii) breath and urinary headspace studies of metabolites, ethanol metabolism, elevated acetone during ovulation, and exogenous compounds; and (iii) urinary infection and the presence of tumors, the influence of dialysis on breath ammonia, acetone, and isoprene, and acetaldehyde released by cancer cells in vitro. Flowing afterglow mass spectrometry (FA-MS) is briefly described, which allows on-line quantification of deuterium in breath water vapor.

716 citations

Journal ArticleDOI
TL;DR: The EPDS was found to have satisfactory sensitivity and specificity and it is proposed that when used in these settings it is referred to as the Edinburgh Depression Scale.

705 citations


Authors

Showing all 11402 results

NameH-indexPapersCitations
George Davey Smith2242540248373
Simon D. M. White189795231645
James F. Wilson146677101883
Stephen O'Rahilly13852075686
Wendy Taylor131125289457
Nicola Maffulli115157059548
Georg Kresse111430244729
Patrick B. Hall11147068383
Peter T. Katzmarzyk11061856484
John F. Dovidio10946646982
Elizabeth H. Blackburn10834450726
Mary L. Phillips10542239995
Garry P. Nolan10447446025
Wayne W. Hancock10350535694
Mohamed H. Sayegh10348538540
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202344
2022155
20211,473
20201,377
20191,178
20181,106