Institution
University of Windsor
Education•Windsor, Ontario, Canada•
About: University of Windsor is a education organization based out in Windsor, Ontario, Canada. It is known for research contribution in the topics: Population & Argumentation theory. The organization has 10654 authors who have published 22307 publications receiving 435906 citations. The organization is also known as: UWindsor & Assumption University of Windsor.
Papers published on a yearly basis
Papers
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TL;DR: Presence of dissolved organic matter affected the mobility of PBDEs during the initial stages of the treatment process, and the total mass loading of sigma5PBDE to the Detroit River is expected to be much larger as effluent from this facility accounts for <10% of the total STP discharges to the river.
Abstract: Sewage treatment plant (STP) effluents are likely a major source of contamination for PBDEs, especially in the receiving water bodies of local aquatic environments surrounding the location of these discharges. Congeners of the pentaBDE mixture, 2,2,',4,4'-tetrabromodiphenyl ether (BDE47), 2,2,',4,4',5-pentabromodiphenyl ether (BDE99), 2,2,',4,4',6-pentabromodiphenyl ether (BDE100), 2,2,',4,4',5,5'-hexabromodiphenyl ether (BDE153), and 2,2,',4,4',5,6'-hexabromodiphenyl ether (BDE154), are of great environmental concern in North America due to their persistence, potential for bioaccumulation, and >97% use of the global production of the mixture in the region. Detailed characterization of the distribution of eight PBDE congeners (2,4,4'-tribromoDE (BDE28) and BDE47, 99, 100, 138, 153, 154, and 183) was carried out at five sites along the treatment process at an activated sludge-type secondary treatment municipal STP facility. PentaBDE mixture congeners, sigma5PBDE (sum of BDE47, 99, 100, 153, and 154) accounted for >98% of the total (sigma 8) PBDE concentration at all sites, with over 80% of the composition being BDE47 and BDE99. Presence of dissolved organic matter affected the mobility of PBDEs during the initial stages of the treatment process. About 9% of the influent mass of sigma5PBDE to the facility is estimated to be discharged into the Little River (leading to the Detroit River) with the final effluent, resulting in an estimated mass loading of approximately 0.7 kg/year. The total mass loading of sigma5PBDE to the Detroit River is expected to be much larger as effluent from this facility accounts for <10% of the total STP discharges to the river.
154 citations
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TL;DR: In this article, a review of the alloy groups which absorb large quantities of hydrogen is presented, with emphasis placed on thermodynamic and kinetic properties, activation and deactivation, poisoning effects and storage capacity.
Abstract: Metal hydrides, as energy storage media, are receiving considerable attention. The amount of literature concerning the properties of these materials has increased markedly over the past few years. In this paper, we conduct a review of the alloy groups which absorb large quantities of hydrogen. These alloy classes are designated as AB5, AB, AB2, AB3 and A2B7 and Mg-based compounds. These materials are discussed with emphasis placed on thermodynamic and kinetic properties, activation and deactivation, poisoning effects and storage capacity.
153 citations
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TL;DR: A holistic system for the recognition of handwritten Farsi/Arabic words using right–left discrete hidden Markov models (HMM) and Kohonen self-organizing vector quantization is presented.
153 citations
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TL;DR: In this article, the authors review several mechanisms that interact and contribute to the development of coastlines on oceanic island volcanoes, and how these processes evolve throughout the islands' lifetime, showing that during the emergent island stage, surtseyan activity prevails and hydroclastic and pyroclastic structures form; these structures are generally ephemeral because they can be rapidly obliterated by marine erosion.
153 citations
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TL;DR: A genetic algorithm is constructed which can search for the global optimum of an arbitrary function as the output of a feedforward network model and is allowed to evolve the type of inputs, the number of hidden units and the connection structure between the inputs and the output layers.
Abstract: This paper proposes a model selection methodology for feedforward network models based on the genetic algorithms and makes a number of distinct but inter-related contributions to the model selection literature for the feedforward networks. First, we construct a genetic algorithm which can search for the global optimum of an arbitrary function as the output of a feedforward network model. Second, we allow the genetic algorithm to evolve the type of inputs, the number of hidden units and the connection structure between the inputs and the output layers. Third, we study how introduction of a local elitist procedure which we call the election operator affects the algorithm's performance. We conduct a Monte Carlo simulation to study the sensitiveness of the global approximation properties of the studied genetic algorithm. Finally, we apply the proposed methodology to the daily foreign exchange returns.
153 citations
Authors
Showing all 10751 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jie Zhang | 178 | 4857 | 221720 |
Robert E. W. Hancock | 152 | 775 | 88481 |
Michael Lynch | 112 | 422 | 63461 |
David Zhang | 111 | 1027 | 55118 |
Paul D. N. Hebert | 111 | 537 | 66288 |
Eleftherios P. Diamandis | 110 | 1064 | 52654 |
Qian Wang | 108 | 2148 | 65557 |
John W. Berry | 97 | 351 | 52470 |
Douglas W. Stephan | 89 | 663 | 34060 |
Rebecca Fisher | 86 | 255 | 50260 |
Mehdi Dehghan | 83 | 875 | 29225 |
Zhong-Qun Tian | 81 | 646 | 33168 |
Robert J. Letcher | 80 | 411 | 22778 |
Daniel J. Sexton | 76 | 369 | 25172 |
Bin Ren | 73 | 470 | 23452 |