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Institution

University of Leeds

EducationLeeds, United Kingdom
About: University of Leeds is a education organization based out in Leeds, United Kingdom. It is known for research contribution in the topics: Population & Context (language use). The organization has 43481 authors who have published 101856 publications receiving 3672065 citations. The organization is also known as: Leeds University.


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TL;DR: In this article, the authors examine board effectiveness through an examination of the work and relationships of non-executive directors and suggest that traditional theoretical divisions between agency and stewardship theory, and control versus collaboration models of the board do not adequately reflect the lived experience of nonexecutive board members and other directors on the board.
Abstract: This paper examines board effectiveness through an examination of the work and relationships of non-executive directors. It is based on 40 in-depth interviews with company directors, commissioned for the Higgs Review. The paper observes that research on corporate governance lacks understanding of the behavioural processes and effects of boards of directors. Whilst board structure, composition and independence condition board effectiveness it is the actual conduct of the non-executive vis-a-vis the executive that determines board effectiveness. Data about behaviour and relationships on boards suggest that traditional theoretical divisions between agency and stewardship theory, and control versus collaboration models of the board do not adequately reflect the lived experience of non-executive directors and other directors on the board. Developing accountability as a central concept in the explanation of how boards operate effectively enables the paper to both challenge the dominant grip of agency theory on governance research and support the search for theoretical pluralism and greater understanding of board processes and dynamics. Practically, the work suggests that corporate governance reform will be undermined by prescription that supports distant perceptions of board effectiveness but not the actual effectiveness of boards.

707 citations

Journal ArticleDOI
TL;DR: An update on the current knowledge of the oral microbiome in health and disease is given and implications for modern-day oral healthcare are discussed.
Abstract: For millions of years, our resident microbes have coevolved and coexisted with us in a mostly harmonious symbiotic relationship. We are not distinct entities from our microbiome, but together we form a 'superorganism' or holobiont, with the microbiome playing a significant role in our physiology and health. The mouth houses the second most diverse microbial community in the body, harbouring over 700 species of bacteria that colonise the hard surfaces of teeth and the soft tissues of the oral mucosa. Through recent advances in technology, we have started to unravel the complexities of the oral microbiome and gained new insights into its role during both health and disease. Perturbations of the oral microbiome through modern-day lifestyles can have detrimental consequences for our general and oral health. In dysbiosis, the finely-tuned equilibrium of the oral ecosystem is disrupted, allowing disease-promoting bacteria to manifest and cause conditions such as caries, gingivitis and periodontitis. For practitioners and patients alike, promoting a balanced microbiome is therefore important to effectively maintain or restore oral health. This article aims to give an update on our current knowledge of the oral microbiome in health and disease and to discuss implications for modern-day oral healthcare.

706 citations

Journal ArticleDOI
TL;DR: It is shown that deep residual learning can predict MSI directly from H&E histology, which is ubiquitously available and has the potential to provide immunotherapy to a much broader subset of patients with gastrointestinal cancer.
Abstract: Microsatellite instability determines whether patients with gastrointestinal cancer respond exceptionally well to immunotherapy. However, in clinical practice, not every patient is tested for MSI, because this requires additional genetic or immunohistochemical tests. Here we show that deep residual learning can predict MSI directly from H&E histology, which is ubiquitously available. This approach has the potential to provide immunotherapy to a much broader subset of patients with gastrointestinal cancer.

705 citations

Journal ArticleDOI
TL;DR: A simple model for the reaction-driven propulsion of a small device is proposed as a model for (part of) a molecular machine in aqueous media that is driven by an asymmetric distribution of reaction products.
Abstract: A simple model for the reaction-driven propulsion of a small device is proposed as a model for (part of) a molecular machine in aqueous media. The motion of the device is driven by an asymmetric distribution of reaction products. The propulsive velocity of the device is calculated as well as the scale of the velocity fluctuations. The effects of hydrodynamic flow as well as a number of different scenarios for the kinetics of the reaction are addressed.

704 citations

Journal ArticleDOI
Veryan Codd1, Christopher P. Nelson1, Eva Albrecht, Massimo Mangino2, Joris Deelen3, Jessica L. Buxton4, Jouke-Jan Hottenga5, Krista Fischer6, Tõnu Esko6, Ida Surakka7, Linda Broer, Dale R. Nyholt8, Irene Mateo Leach9, Perttu Salo, Sara Hägg10, Mary K. Matthews1, Jutta Palmen11, Giuseppe Danilo Norata, Paul F. O'Reilly4, Danish Saleheen12, Najaf Amin13, Anthony J. Balmforth14, Marian Beekman3, Rudolf A. de Boer9, Stefan Böhringer3, Peter S. Braund1, Paul Burton1, Anton J. M. de Craen3, Matthew Denniff1, Yanbin Dong15, Konstantinos Douroudis6, Elena Dubinina1, Johan G. Eriksson, Katia Garlaschelli, Dehuang Guo15, Anna-Liisa Hartikainen16, Anjali K. Henders8, Jeanine J. Houwing-Duistermaat3, Laura Kananen7, Lennart C. Karssen13, Johannes Kettunen7, Norman Klopp, Vasiliki Lagou17, Elisabeth M. van Leeuwen13, Pamela A. F. Madden18, Reedik Mägi6, Patrik K. E. Magnusson10, Satu Männistö19, Satu Männistö20, Mark I. McCarthy21, Mark I. McCarthy22, Mark I. McCarthy17, Sarah E. Medland8, Evelin Mihailov6, Grant W. Montgomery8, Ben A. Oostra13, Aarno Palotie, Annette Peters, Helen Pollard1, Anneli Pouta19, Anneli Pouta16, Inga Prokopenko17, Samuli Ripatti, Veikko Salomaa20, Veikko Salomaa19, H. Eka D. Suchiman3, Ana M. Valdes2, Niek Verweij9, Ana Viñuela2, Xiaoling Wang23, Xiaoling Wang24, H-Erich Wichmann25, Elisabeth Widen7, Gonneke Willemsen5, Margaret J. Wright8, Kai Xia26, Xiangjun Xiao27, Dirk J. van Veldhuisen9, Alberico L. Catapano28, Martin D. Tobin1, Alistair S. Hall14, Alexandra I. F. Blakemore4, Wiek H. van Gilst9, Haidong Zhu23, Haidong Zhu24, Jeanette Erdmann, Muredach P. Reilly29, Sekar Kathiresan30, Sekar Kathiresan31, Heribert Schunkert, Philippa J. Talmud11, Nancy L. Pedersen10, Markus Perola19, Markus Perola7, Markus Perola6, Willem H. Ouwehand, Jaakko Kaprio, Nicholas G. Martin8, Cornelia M. van Duijn, Iiris Hovatta19, Iiris Hovatta7, Christian Gieger11, Andres Metspalu6, Dorret I. Boomsma5, Marjo-Riitta Järvelin, P. Eline Slagboom3, John R Thompson1, Tim D. Spector2, Pim van der Harst1, Nilesh J. Samani1, Nilesh J. Samani32 
TL;DR: In this paper, a genome-wide meta-analysis of 37,684 individuals with replication of selected variants in an additional 10,739 individuals was carried out to identify seven loci, including five new loci associated with mean leukocyte telomere length (LTL) (P < 5 × 10−8).
Abstract: Interindividual variation in mean leukocyte telomere length (LTL) is associated with cancer and several age-associated diseases. We report here a genome-wide meta-analysis of 37,684 individuals with replication of selected variants in an additional 10,739 individuals. We identified seven loci, including five new loci, associated with mean LTL (P < 5 × 10(-8)). Five of the loci contain candidate genes (TERC, TERT, NAF1, OBFC1 and RTEL1) that are known to be involved in telomere biology. Lead SNPs at two loci (TERC and TERT) associate with several cancers and other diseases, including idiopathic pulmonary fibrosis. Moreover, a genetic risk score analysis combining lead variants at all 7 loci in 22,233 coronary artery disease cases and 64,762 controls showed an association of the alleles associated with shorter LTL with increased risk of coronary artery disease (21% (95% confidence interval, 5-35%) per standard deviation in LTL, P = 0.014). Our findings support a causal role of telomere-length variation in some age-related diseases.

703 citations


Authors

Showing all 44104 results

NameH-indexPapersCitations
Walter C. Willett3342399413322
David J. Hunter2131836207050
Edward Giovannucci2061671179875
Richard Peto183683231434
Paul G. Richardson1831533155912
Chris Sander178713233287
Kenneth C. Anderson1781138126072
David R. Williams1782034138789
Andrew Zisserman167808261717
Michael John Owen1601110135795
Jens J. Holst1601536107858
Paul Emery1581314121293
David Cameron1541586126067
J. Fraser Stoddart147123996083
Debbie A Lawlor1471114101123
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023350
20221,010
20215,917
20205,442
20195,049
20184,747