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Institution

Carleton University

EducationOttawa, Ontario, Canada
About: Carleton University is a education organization based out in Ottawa, Ontario, Canada. It is known for research contribution in the topics: Population & Context (language use). The organization has 15852 authors who have published 39650 publications receiving 1106610 citations.


Papers
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Journal ArticleDOI
Georges Aad, B. Abbott1, Jalal Abdallah2, A. A. Abdelalim3  +3013 moreInstitutions (174)
TL;DR: In this article, detailed measurements of the electron performance of the ATLAS detector at the LHC were reported, using decays of the Z, W and J/psi particles.
Abstract: Detailed measurements of the electron performance of the ATLAS detector at the LHC are reported, using decays of the Z, W and J/psi particles. Data collected in 2010 at root s = 7 TeV are used, corresponding to an integrated luminosity of almost 40 pb(-1). The inter-alignment of the inner detector and the electromagnetic calorimeter, the determination of the electron energy scale and resolution, and the performance in terms of response uniformity and linearity are discussed. The electron identification, reconstruction and trigger efficiencies, as well as the charge misidentification probability, are also presented.

505 citations

Journal ArticleDOI
TL;DR: The findings indicate the critical factors that enable citizens to adopt e-Gov at different stages of service maturity, and public administrators and policy-makers have potential implications from the findings of the adoption behavior of e- Gov at different maturity levels.

505 citations

Journal ArticleDOI
26 Jan 2018-Science
TL;DR: Plastic waste entanglement exacerbates the risk of coral disease outbreaks and consequent damage to reefs, as well as the loss of fisheries and coastal protection, and microhabitats for reef-associated organisms and valuable fisheries will be disproportionately affected.
Abstract: Plastic waste can promote microbial colonization by pathogens implicated in outbreaks of disease in the ocean. We assessed the influence of plastic waste on disease risk in 124,000 reef-building corals from 159 reefs in the Asia-Pacific region. The likelihood of disease increases from 4% to 89% when corals are in contact with plastic. Structurally complex corals are eight times more likely to be affected by plastic, suggesting that microhabitats for reef-associated organisms and valuable fisheries will be disproportionately affected. Plastic levels on coral reefs correspond to estimates of terrestrial mismanaged plastic waste entering the ocean. We estimate that 11.1 billion plastic items are entangled on coral reefs across the Asia-Pacific and project this number to increase 40% by 2025. Plastic waste management is critical for reducing diseases that threaten ecosystem health and human livelihoods.

504 citations

Journal ArticleDOI
TL;DR: In this article, the authors study the opportunistic utilization of low-altitude unmanned aerial platforms equipped with BSs (i.e., drone-BSs) in future wireless networks and propose a drone-cell management framework benefiting from the synergy among SDN, network functions virtualization, and cloud computing.
Abstract: In cellular networks, the locations of the RAN elements are determined mainly based on the long-term traffic behavior. However, when the random and hard-to-predict spatio-temporal distribution of the traffic (load, demand) does not fully match the fixed locations of the RAN elements (supply), some performance degradation becomes inevitable. The concept of multi-tier cells (heterogeneous networks, HetNets) has been introduced in 4G networks to alleviate this mismatch. However, as the traffic distribution deviates more and more from the long-term average, even the HetNet architecture will have difficulty in coping with the erratic supply-demand mismatch, unless the RAN is grossly over-engineered (which is a financially non-viable solution). In this article, we study the opportunistic utilization of low-altitude unmanned aerial platforms equipped with BSs (i.e., drone-BSs) in future wireless networks. In particular, we envisage a multi-tier drone-cell network complementing the terrestrial HetNets. The variety of equipment and non-rigid placement options allow utilizing multi-tier drone-cell networks to serve diversified demands. Hence, drone-cells bring the supply to where the demand is, which sets new frontiers for the heterogeneity in 5G networks. We investigate the advancements promised by dronecells and discuss the challenges associated with their operation and management. We propose a drone-cell management framework (DMF) benefiting from the synergy among SDN, network functions virtualization, and cloud computing. We demonstrate DMF mechanisms via a case study, and numerically show that it can reduce the cost of utilizing drone-cells in multi-tenancy cellular networks.

504 citations

Journal ArticleDOI
TL;DR: In this article, the denominator theorem of Fomin and Zelevinsky was generalized to any cluster algebra and an algebraic realization and a geometric realization of Cat_C were given.
Abstract: Cluster algebras were introduced by S. Fomin and A. Zelevinsky in connection with dual canonical bases. Let U be a cluster algebra of type A_n. We associate to each cluster C of U an abelian category Cat_C such that the indecomposable objects of Cat_C are in natural correspondence with the cluster variables of U which are not in C. We give an algebraic realization and a geometric realization of Cat_C. Then, we generalize the ``denominator Theorem'' of Fomin and Zelevinsky to any cluster.

499 citations


Authors

Showing all 16102 results

NameH-indexPapersCitations
George F. Koob171935112521
Zhenwei Yang150956109344
Andrew White1491494113874
J. S. Keller14498198249
R. Kowalewski1431815135517
Manuella Vincter131944122603
Gabriella Pasztor129140186271
Beate Heinemann129108581947
Claire Shepherd-Themistocleous129121186741
Monica Dunford12990677571
Dave Charlton128106581042
Ryszard Stroynowski128132086236
Peter Krieger128117181368
Thomas Koffas12894276832
Aranzazu Ruiz-Martinez12678371913
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202389
2022381
20212,299
20202,244
20192,017
20181,841