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Institution

University of Toronto

EducationToronto, Ontario, Canada
About: University of Toronto is a education organization based out in Toronto, Ontario, Canada. It is known for research contribution in the topics: Population & Health care. The organization has 126067 authors who have published 294940 publications receiving 13536856 citations. The organization is also known as: UToronto & U of T.


Papers
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Journal ArticleDOI
TL;DR: The method is to use decoy states to detect eavesdropping attacks and has the best of both worlds--enjoying unconditional security guaranteed by the fundamental laws of physics and yet dramatically surpassing some of the best experimental performances reported in the literature.
Abstract: There has been much interest in quantum key distribution. Experimentally, quantum key distribution over 150 km of commercial Telecom fibers has been successfully performed. The crucial issue in quantum key distribution is its security. Unfortunately, all recent experiments are, in principle, insecure due to real-life imperfections. Here, we propose a method that can for the first time make most of those experiments secure by using essentially the same hardware. Our method is to use decoy states to detect eavesdropping attacks. As a consequence, we have the best of both worlds--enjoying unconditional security guaranteed by the fundamental laws of physics and yet dramatically surpassing even some of the best experimental performances reported in the literature.

1,805 citations

Journal ArticleDOI
09 Feb 1990-Cell
TL;DR: The genetic localization of this gene, its tissue-specific expression, and the function predicted from its sequence lead us to suggest that it represents the 11p13 Wilms' tumor gene.

1,805 citations

Proceedings Article
07 Dec 2015
TL;DR: This article used the continuity of text from books to train an encoder-decoder model that tries to reconstruct the surrounding sentences of an encoded passage, which can produce highly generic sentence representations that are robust and perform well in practice.
Abstract: We describe an approach for unsupervised learning of a generic, distributed sentence encoder. Using the continuity of text from books, we train an encoder-decoder model that tries to reconstruct the surrounding sentences of an encoded passage. Sentences that share semantic and syntactic properties are thus mapped to similar vector representations. We next introduce a simple vocabulary expansion method to encode words that were not seen as part of training, allowing us to expand our vocabulary to a million words. After training our model, we extract and evaluate our vectors with linear models on 8 tasks: semantic relatedness, paraphrase detection, image-sentence ranking, question-type classification and 4 benchmark sentiment and subjectivity datasets. The end result is an off-the-shelf encoder that can produce highly generic sentence representations that are robust and perform well in practice.

1,802 citations

Journal ArticleDOI
TL;DR: It is shown that this sequence forms part of a P–type ATPase gene (referred to here as Wc1) that is very similar to MNK, with six putative metal binding regions similar to those found in prokaryotic heavy metal transporters.
Abstract: Wilson disease (WD) is an autosomal recessive disorder of copper transport, resulting in copper accumulation and toxicity to the liver and brain. The gene (WD) has been mapped to chromosome 13 q14.3. On yeast artificial chromosomes from this region we have identified a sequence, similar to that coding for the proposed copper binding regions of the putative ATPase gene (MNK) defective in Menkes disease. We show that this sequence forms part of a P-type ATPase gene (referred to here as Wc1) that is very similar to MNK, with six putative metal binding regions similar to those found in prokaryotic heavy metal transporters. The gene, expressed in liver and kidney, lies within a 300 kb region likely to include the WD locus. Two WD patients were found to be homozygous for a seven base deletion within the coding region of Wc1. Wc1 is proposed as the gene for WD.

1,798 citations

Journal ArticleDOI
TL;DR: The results suggest that low- performing older adults recruited a similar network as young adults but used it inefficiently, whereas high-performing older adults counteracted age-related neural decline through a plastic reorganization of neurocognitive networks.

1,797 citations


Authors

Showing all 127245 results

NameH-indexPapersCitations
Gordon H. Guyatt2311620228631
David J. Hunter2131836207050
Rakesh K. Jain2001467177727
Thomas C. Südhof191653118007
Gordon B. Mills1871273186451
George Efstathiou187637156228
John P. A. Ioannidis1851311193612
Paul M. Thompson1832271146736
Yusuke Nakamura1792076160313
Chris Sander178713233287
David R. Williams1782034138789
David L. Kaplan1771944146082
Jasvinder A. Singh1762382223370
Hyun-Chul Kim1764076183227
Deborah J. Cook173907148928
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023504
20221,822
202119,077
202017,303
201915,388
201814,130