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Institution

University of Cambridge

EducationCambridge, United Kingdom
About: University of Cambridge is a education organization based out in Cambridge, United Kingdom. It is known for research contribution in the topics: Population & Galaxy. The organization has 118293 authors who have published 282289 publications receiving 14497093 citations. The organization is also known as: Cambridge University & Cambridge.


Papers
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Journal ArticleDOI
Thomas J. Wang1, Feng Zhang2, J. Brent Richards, Bryan Kestenbaum3, Joyce B. J. van Meurs4, Diane J. Berry5, Douglas P. Kiel, Elizabeth A. Streeten6, Claes Ohlsson7, Daniel L. Koller8, Leena Peltonen9, Leena Peltonen10, Jason D. Cooper2, Paul F. O'Reilly11, Denise K. Houston12, Nicole L. Glazer3, Liesbeth Vandenput7, Munro Peacock8, Julia Shi6, Fernando Rivadeneira4, Mark I. McCarthy13, Mark I. McCarthy14, Mark I. McCarthy15, Pouta Anneli, Ian H. de Boer3, Massimo Mangino2, Bernet S. Kato2, Deborah J. Smyth7, Sarah L. Booth16, Paul F. Jacques16, Greg L. Burke12, Mark O. Goodarzi17, Ching-Lung Cheung18, Myles Wolf19, Kenneth Rice3, David Goltzman2, Nick Hidiroglou20, Martin Ladouceur, Nicholas J. Wareham7, Lynne J. Hocking16, Deborah J. Hart2, Nigel K Arden15, Cyrus Cooper15, Suneil Malik21, William D. Fraser22, Anna Liisa Hartikainen2, Guangju Zhai2, Helen M. Macdonald2, Nita G. Forouhi23, Ruth J. F. Loos23, David M. Reid24, Alan Hakim, Elaine M. Dennison25, Yongmei Liu9, Chris Power5, Helen Stevens2, Laitinen Jaana21, Ramachandran S. Vasan26, Nicole Soranzo10, Nicole Soranzo27, Jörg Bojunga28, Bruce M. Psaty3, Mattias Lorentzon7, Tatiana Foroud8, Tamara B. Harris9, Albert Hofman4, John-Olov Jansson11, Jane A. Cauley29, André G. Uitterlinden, Quince Gibson, Marjo-Riitta Järvelin, David Karasik, David S. Siscovick3, Michael J. Econs8, Stephen B. Kritchevsky22, Jose C. Florez, John A. Todd7, Josée Dupuis26, Elina Hyppönen5, Tim D. Spector27 
TL;DR: In this article, a genome-wide association study of 25-hydroxyvitamin D concentrations in 33,996 individuals of European descent from 15 cohorts was conducted to identify common genetic variants affecting vitamin D concentrations and risk of insufficiency.

1,381 citations

Proceedings Article
28 Jun 2011
TL;DR: PILCO reduces model bias, one of the key problems of model-based reinforcement learning, in a principled way by learning a probabilistic dynamics model and explicitly incorporating model uncertainty into long-term planning.
Abstract: In this paper, we introduce PILCO, a practical, data-efficient model-based policy search method. PILCO reduces model bias, one of the key problems of model-based reinforcement learning, in a principled way. By learning a probabilistic dynamics model and explicitly incorporating model uncertainty into long-term planning, PILCO can cope with very little data and facilitates learning from scratch in only a few trials. Policy evaluation is performed in closed form using state-of-the-art approximate inference. Furthermore, policy gradients are computed analytically for policy improvement. We report unprecedented learning efficiency on challenging and high-dimensional control tasks.

1,379 citations

Journal ArticleDOI
TL;DR: Direct evidence for CAF heterogeneity in PDA tumor biology is provided, providing direct evidence for disease etiology and therapeutic development in mouse and human PDA tissue.
Abstract: Pancreatic stellate cells (PSCs) differentiate into cancer-associated fibroblasts (CAFs) that produce desmoplastic stroma, thereby modulating disease progression and therapeutic response in pancreatic ductal adenocarcinoma (PDA). However, it is unknown whether CAFs uniformly carry out these tasks or if subtypes of CAFs with distinct phenotypes in PDA exist. We identified a CAF subpopulation with elevated expression of α-smooth muscle actin (αSMA) located immediately adjacent to neoplastic cells in mouse and human PDA tissue. We recapitulated this finding in co-cultures of murine PSCs and PDA organoids, and demonstrated that organoid-activated CAFs produced desmoplastic stroma. The co-cultures showed cooperative interactions and revealed another distinct subpopulation of CAFs, located more distantly from neoplastic cells, which lacked elevated αSMA expression and instead secreted IL6 and additional inflammatory mediators. These findings were corroborated in mouse and human PDA tissue, providing direct evidence for CAF heterogeneity in PDA tumor biology with implications for disease etiology and therapeutic development.

1,379 citations

Journal ArticleDOI
TL;DR: In this article, the authors argue that the Lorentz model has reached the limit of its usefulness and must be abandoned before we can make further progress in the field of physics.
Abstract: The Lorentz model of the electron as a small sphere charged with electricity, possessing mass on account of the energy of the electric field around it, has proved very valuable in accounting for the motion and radiation of electrons in a certain domain of problems, in which the electromagnetic field does not vary too rapidly and the accelerations of the electrons are not too great. Beyond this domain it will not go unless supplemented by further assumptions about the forces that hold the charge on an electron together. No natural way of introducing such further assumptions has been discovered, and it seems that the Lorentz model has reached the limit of its usefulness and must be abandoned before we can make further progress. One of the most attractive ideas in the Lorentz model of the electron, the idea that all mass is of electromagnetic; origin, appears at the present time to be wrong, for two separate reasons. First, the discovery of the neutron has provided us with a form of mass which it is very hard to believe could be of electromagnetic nature. Secondly, we have the theory of the positron— a theory in agreement with experiment so far as is known—in which positive and negative values for the mass of an electron play symmetrical roles. This cannot be fitted in with the electromagnetic idea of mass, which insists on all mass being positive, even in abstract theory.

1,378 citations

Journal ArticleDOI
TL;DR: There is convincing evidence of a modest association between DUP and outcome, which supports the case for clinical trials that examine the effect of reducing DUP.
Abstract: Context Duration of untreated psychosis (DUP) is the time from manifestation of the first psychotic symptom to initiation of adequate treatment. It has been postulated that a longer DUP leads to a poorer prognosis. If so, outcome might be improved through earlier detection and treatment. Objectives To establish whether DUP is associated with prognosis and to determine whether any association is explained by confounding with premorbid adjustment. Data Sources The CINAHL (Cumulative Index to Nursing and Allied Health), EMBASE, MEDLINE, and PsychLIT databases were searched from their inception dates to May 2004. Study Selection Eligible studies reported the relationship between DUP and outcome in prospective cohorts recruited during their first episode of psychosis. Twenty-six eligible studies involving 4490 participants were identified from 11 458 abstracts, each screened by 2 reviewers. Data Extraction Data were extracted independently and were checked by double entry. Sensitivity analyses were conducted excluding studies that had follow-up rates of less than 80%, included affective psychoses, or did not use a standardized assessment of DUP. Data Synthesis Independent meta-analyses were conducted of correlational data and of data derived from comparisons of long and short DUP groups. Most data were correlational, and these showed a significant association between DUP and several outcomes at 6 and 12 months (including total symptoms, depression/anxiety, negative symptoms, overall functioning, positive symptoms, and social functioning). Long vs short DUP data showed an association between longer DUP and worse outcome at 6 months in terms of total symptoms, overall functioning, positive symptoms, and quality of life. Patients with a long DUP were significantly less likely to achieve remission. The observed association between DUP and outcome was not explained by premorbid adjustment. Conclusions There is convincing evidence of a modest association between DUP and outcome, which supports the case for clinical trials that examine the effect of reducing DUP.

1,377 citations


Authors

Showing all 119522 results

NameH-indexPapersCitations
Albert Hofman2672530321405
Zhong Lin Wang2452529259003
Solomon H. Snyder2321222200444
Trevor W. Robbins2311137164437
George Davey Smith2242540248373
Nicholas J. Wareham2121657204896
Cyrus Cooper2041869206782
Eric B. Rimm196988147119
Martin White1962038232387
Simon D. M. White189795231645
Michael Rutter188676151592
George Efstathiou187637156228
Mark Hallett1861170123741
David H. Weinberg183700171424
Paul G. Richardson1831533155912
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023466
20222,049
202115,692
202015,352
201913,664
201812,549