Institution
University of Waterloo
Education•Waterloo, Ontario, Canada•
About: University of Waterloo is a education organization based out in Waterloo, Ontario, Canada. It is known for research contribution in the topics: Population & Poison control. The organization has 36093 authors who have published 93906 publications receiving 2948139 citations. The organization is also known as: UW & uwaterloo.
Papers published on a yearly basis
Papers
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01 Sep 2015
TL;DR: This work proposes a model for comparing sentences that uses a multiplicity of perspectives, first model each sentence using a convolutional neural network that extracts features at multiple levels of granularity and uses multiple types of pooling.
Abstract: Modeling sentence similarity is complicated by the ambiguity and variability of linguistic expression. To cope with these challenges, we propose a model for comparing sentences that uses a multiplicity of perspectives. We first model each sentence using a convolutional neural network that extracts features at multiple levels of granularity and uses multiple types of pooling. We then compare our sentence representations at several granularities using multiple similarity metrics. We apply our model to three tasks, including the Microsoft Research paraphrase identification task and two SemEval semantic textual similarity tasks. We obtain strong performance on all tasks, rivaling or exceeding the state of the art without using external resources such as WordNet or parsers.
394 citations
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TL;DR: It is suggested that the spin-ice behavior in Ising pyrochlore systems is due to long-range dipolar interactions, and that the nearest-neighbor exchange in Dy2Ti2O7 is antiferromagnetic.
Abstract: Recent experiments suggest that the Ising pyrochlore magnets ${\mathrm{Ho}}_{2}{\mathrm{Ti}}_{2}{\mathrm{O}}_{7}$ and ${\mathrm{Dy}}_{2}{\mathrm{Ti}}_{2}{\mathrm{O}}_{7}$ display qualitative properties of the nearest-neighbor ``spin ice'' model. We discuss the dipolar energy scale present in both these materials and discuss how spin-ice behavior can occur despite the presence of long-range dipolar interactions. We present results of numerical simulations and a mean field analysis of Ising pyrochlore systems. Based on our quantitative theory, we suggest that the spin-ice behavior in these systems is due to long-range dipolar interactions, and that the nearest-neighbor exchange in ${\mathrm{Dy}}_{2}{\mathrm{Ti}}_{2}{\mathrm{O}}_{7}$ is antiferromagnetic.
394 citations
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TL;DR: Nengo 2.0 is described, which is implemented in Python and uses simple and extendable syntax, simulates a benchmark model on the scale of Spaun 50 times faster than Nengo 1.4, and has a flexible mechanism for collecting simulation results.
Abstract: Neuroscience currently lacks a comprehensive theory of how cognitive processes can be implemented in a biological substrate. The Neural Engineering Framework (NEF) proposes one such theory, but has not yet gathered significant empirical support, partly due to the technical challenge of building and simulating large-scale models with the NEF. Nengo is a software tool that can be used to build and simulate large-scale models based on the NEF; currently, it is the primary resource for both teaching how the NEF is used, and for doing research that generates specific NEF models to explain experimental data. Nengo 1.4, which was implemented in Java, was used to create Spaun, the world’s largest functional brain model (Eliasmith et al., 2012). Simulating Spaun highlighted limitations in Nengo 1.4’s ability to support model construction with simple syntax, to simulate large models quickly, and to collect large amounts of data for subsequent analysis. This paper describes Nengo 2.0, which is implemented in Python and overcomes these limitations. It uses simple and extendable syntax, simulates a benchmark model on the scale of Spaun 50 times faster than Nengo 1.4, and has a flexible mechanism for collecting simulation results.
394 citations
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TL;DR: In this article, a functionalized graphene oxide Nafion nanocomposites (F-GO/Nafion) are presented as a potential proton exchange membrane (PEM) replacement for high temperature PEM fuel cell applications.
Abstract: Functionalized graphene oxide Nafion nanocomposites (F-GO/Nafion) are presented as a potential proton exchange membrane (PEM) replacement for high temperature PEM fuel cell applications. The GO nanosheets were produced from natural graphite flakes by the modified Hummer’s method and then functionalized by using 3-mercaptopropyl trimethoxysilane (MPTMS) as the sulfonic acid functional group precursor. F-GO/Nafion composite membranes were fabricated by a simplistic solution casting method. Several physicochemical characterization techniques were applied to provide insight into the specific structure and morphology, functional groups, water uptake, and ionic conductivities of the membranes. Proton conductivity and single cell test results demonstrated significant improvements for F-GO/Nafion membranes (4 times) over recast Nafion at 120 °C with 25% humidity.
394 citations
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TL;DR: A recent review revealed considerable variability in blood levels of omega-3 polyunsaturated fatty acids and the very low to low range of blood EPA+DHA for most of the world may increase global risk for chronic disease as mentioned in this paper.
394 citations
Authors
Showing all 36498 results
Name | H-index | Papers | Citations |
---|---|---|---|
John J.V. McMurray | 178 | 1389 | 184502 |
David A. Weitz | 178 | 1038 | 114182 |
David Taylor | 131 | 2469 | 93220 |
Lei Zhang | 130 | 2312 | 86950 |
Will J. Percival | 129 | 473 | 87752 |
Trevor Hastie | 124 | 412 | 202592 |
Stephen Mann | 120 | 669 | 55008 |
Xuan Zhang | 119 | 1530 | 65398 |
Mark A. Tarnopolsky | 115 | 644 | 42501 |
Qiang Yang | 112 | 1117 | 71540 |
Wei Zhang | 112 | 1189 | 93641 |
Hans-Peter Seidel | 112 | 1213 | 51080 |
Theodore S. Rappaport | 112 | 490 | 68853 |
Robert C. Haddon | 112 | 577 | 52712 |
David Zhang | 111 | 1027 | 55118 |