Institution
Clarkson University
Education•Potsdam, New York, United States•
About: Clarkson University is a education organization based out in Potsdam, New York, United States. It is known for research contribution in the topics: Particle & Turbulence. The organization has 4414 authors who have published 10009 publications receiving 305356 citations. The organization is also known as: Thomas S. Clarkson Memorial School of Technology & Thomas S. Clarkson Memorial College of Technology.
Papers published on a yearly basis
Papers
More filters
••
TL;DR: The data support a model in which induction of ER stress proteins prevents disturbances of intracellular Ca2+ homeostasis, thus uncoupling toxicant exposure from oxidative stress and cell death, and support the role of ER chaperones of the GRP family in tolerance.
376 citations
••
TL;DR: It turns out that the magnitude and the direction of the induced current depend not only on the shape of the ratchet, but also on the statistics of the fluctuations.
Abstract: Ratchetlike devices can rectify symmetric, unbiased nonequilibrium noise resulting in fluctuation-induced currents. We study some simple models to investigate the dependence of a nonequilibrium steady-state current on the characteristic features of the ratchet and the applied noise. It turns out that the magnitude and the direction of the induced current depend not only on the shape of the ratchet, but also on the statistics of the fluctuations.
372 citations
••
01 May 2008TL;DR: In this article, the authors argue that ERP implementation success is positively related with organizational culture along the dimensions of learning and development, participative decision making, power sharing, support and collaboration, and tolerance for risk and conflicts.
Abstract: This paper theorizes how leadership affects ERP implementation by fostering the desired organizational culture. We contend that ERP implementation success is positively related with organizational culture along the dimensions of learning and development, participative decision making, power sharing, support and collaboration, and tolerance for risk and conflicts. In addition, we identify the strategic and tactical actions that the top management can take to influence organizational culture and foster a culture conducive to ERP implementation. The theoretical contributions and managerial implications of this study are discussed.
370 citations
•
24 Oct 1986TL;DR: SETL improves programmer speed and pro ductivity significantly, and also enhances program clarity and readability, and the classroom consequence is that students, freed of some of the burden of petty programming detail, can advance their knowledge of significant algorithms and of broader strategic issues in program development more rapidly than with more conventional programming languages.
Abstract: The programming language SETL is a relatively new member of the so-called "very-high-level" class of languages, some of whose other well-known mem bers are LISP, APL, SNOBOL, and PROLOG. These languages all aim to reduce the cost of programming, recognized today as a main obstacle to future progress in the computer field, by allowing direct manipulation of large composite objects, considerably more complex than the integers, strings, etc., available in such well-known mainstream languages as PASCAL, PL/I, ALGOL, and Ada. For this purpose, LISP introduces structured lists as data objects, APL introduces vectors and matrices, and SETL introduces the objects characteristic for it, namely general finite sets and maps. The direct availability of these abstract, composite objects, and of powerful mathematical operations upon them, improves programmer speed and pro ductivity significantly, and also enhances program clarity and readability. The classroom consequence is that students, freed of some of the burden of petty programming detail, can advance their knowledge of significant algorithms and of broader strategic issues in program development more rapidly than with more conventional programming languages."
367 citations
••
TL;DR: The coordinated integration of aggregated plug-in electric vehicle (PEV) fleets and renewable energy sources (wind energy) in power systems is studied by stochastic security-constrained unit commitment (Stochastic SCUC) model, which minimizes the expected grid operation cost while considering the random behavior of the many PEVs.
Abstract: In this paper, the coordinated integration of aggregated plug-in electric vehicle (PEV) fleets and renewable energy sources (wind energy) in power systems is studied by stochastic security-constrained unit commitment (Stochastic SCUC) model, which minimizes the expected grid operation cost while considering the random behavior of the many PEVs. PEVs are mobile and distributed devices with deferrable options for the supply/utilization of energy at various times and locations. The increased utilization of PEVs, which consume electricity rather than fossil fuel for driving, offers unique economic and environmental opportunities, and brings out new challenges to electric power system operation and planning. The storage capability of PEVs could help power systems mitigate the variability of renewable energy sources and reduce grid operation costs. Vehicle-to-grid (V2G) enables PEVs to have bi-directional power flows once they are connected to the grid, i.e., they can either inject power to, and draw power from, the grid which adds further complexity to power system operations. PEVs signify customers' random behavior when considering their driving patterns, locational energy requirements, topological grid interconnections, and other constraints imposed by the consumers. Numerical tests demonstrate the effectiveness of the proposed approach for analyzing the impact of PEVs on the grid operation cost and hourly wind energy dispatch.
365 citations
Authors
Showing all 4454 results
Name | H-index | Papers | Citations |
---|---|---|---|
Xuan Zhang | 119 | 1530 | 65398 |
Michael R. Hoffmann | 109 | 500 | 63474 |
Philip K. Hopke | 91 | 929 | 40612 |
Sudipta Seal | 86 | 514 | 32788 |
Egon Matijević | 81 | 466 | 25015 |
Mark J. Ablowitz | 74 | 374 | 27715 |
Kim R. Dunbar | 74 | 470 | 20262 |
Maureen E. Callow | 70 | 188 | 14957 |
Igor M. Sokolov | 69 | 673 | 20256 |
James A. Callow | 68 | 186 | 14424 |
Michal Borkovec | 66 | 235 | 19638 |
Sergiy Minko | 66 | 256 | 18723 |
Corwin Hansch | 66 | 342 | 26798 |
David H. Russell | 66 | 477 | 17172 |
Nitash P. Balsara | 62 | 411 | 15083 |