Institution
University of Toronto
Education•Toronto, 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 published on a yearly basis
Papers
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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
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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
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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
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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
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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
Name | H-index | Papers | Citations |
---|---|---|---|
Gordon H. Guyatt | 231 | 1620 | 228631 |
David J. Hunter | 213 | 1836 | 207050 |
Rakesh K. Jain | 200 | 1467 | 177727 |
Thomas C. Südhof | 191 | 653 | 118007 |
Gordon B. Mills | 187 | 1273 | 186451 |
George Efstathiou | 187 | 637 | 156228 |
John P. A. Ioannidis | 185 | 1311 | 193612 |
Paul M. Thompson | 183 | 2271 | 146736 |
Yusuke Nakamura | 179 | 2076 | 160313 |
Chris Sander | 178 | 713 | 233287 |
David R. Williams | 178 | 2034 | 138789 |
David L. Kaplan | 177 | 1944 | 146082 |
Jasvinder A. Singh | 176 | 2382 | 223370 |
Hyun-Chul Kim | 176 | 4076 | 183227 |
Deborah J. Cook | 173 | 907 | 148928 |