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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
TL;DR: In this article, a new method for evaluating one-particle coupling coefficients in general configuration interaction calculation is presented, through repeated application and use of resolutions of the identity, two-, three-and four-body coupling coefficients and density matrices may be built in a simple and efficient way.

2,455 citations

Journal ArticleDOI
TL;DR: The Protein Data Bank is a computer-based archival file for macromolecular structures that stores in a uniform format atomic co-ordinates and partial bond connectivities, as derived from crystallographic studies.

2,453 citations

Journal ArticleDOI
TL;DR: Although the intracellular transduction of the Notch signal is remarkably simple, with no secondary messengers, this pathway functions in an enormous diversity of developmental processes and its dysfunction is implicated in many cancers.
Abstract: A small number of signalling pathways are used iteratively to regulate cell fates, cell proliferation and cell death in development. Notch is the receptor in one such pathway, and is unusual in that most of its ligands are also transmembrane proteins; therefore signalling is restricted to neighbouring cells. Although the intracellular transduction of the Notch signal is remarkably simple, with no secondary messengers, this pathway functions in an enormous diversity of developmental processes and its dysfunction is implicated in many cancers.

2,450 citations

Journal ArticleDOI
TL;DR: This work has provided a solid foundation for studying the regulation of translation initiation by mechanisms that include the modulation of initiation factor activity and through sequence-specific RNA-binding proteins and microRNAs (which affect individual mRNAs).
Abstract: Protein synthesis is principally regulated at the initiation stage (rather than during elongation or termination), allowing rapid, reversible and spatial control of gene expression. Progress over recent years in determining the structures and activities of initiation factors, and in mapping their interactions in ribosomal initiation complexes, have advanced our understanding of the complex translation initiation process. These developments have provided a solid foundation for studying the regulation of translation initiation by mechanisms that include the modulation of initiation factor activity (which affects almost all scanning-dependent initiation) and through sequence-specific RNA-binding proteins and microRNAs (which affect individual mRNAs).

2,446 citations

Proceedings ArticleDOI
10 Dec 2002
TL;DR: Algorithms developed by the author for recognizing persons by their iris patterns have now been tested in many field and laboratory trials, producing no false matches in several million comparison tests.
Abstract: The principle that underlies the recognition of persons by their iris patterns is the failure of a test of statistical independence on texture phase structure as encoded by multiscale quadrature wavelets. The combinatorial complexity of this phase information across different persons spans about 249 degrees of freedom and generates a discrimination entropy of about 3.2 bits/mm/sup 2/ over the iris, enabling real-time decisions about personal identity with extremely high confidence. Algorithms first described by the author in 1993 have now been tested in several independent field trials and are becoming widely licensed. This presentation reviews how the algorithms work and presents the results of 9.1 million comparisons among different eye images acquired in trials in Britain, the USA, Korea, and Japan.

2,437 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
Network Information
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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