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Institution

North Carolina State University

EducationRaleigh, North Carolina, United States
About: North Carolina State University is a education organization based out in Raleigh, North Carolina, United States. It is known for research contribution in the topics: Population & Thin film. The organization has 44161 authors who have published 101744 publications receiving 3456774 citations. The organization is also known as: NCSU & North Carolina State University at Raleigh.
Topics: Population, Thin film, Silicon, Gene, Poison control


Papers
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Journal ArticleDOI
TL;DR: This paper presents a review of ESSs for transport and grid applications, covering several aspects as the storage technology, the main applications, and the power converters used to operate some of the energy storage technologies.
Abstract: Energy storage systems (ESSs) are enabling technologies for well-established and new applications such as power peak shaving, electric vehicles, integration of renewable energies, etc. This paper presents a review of ESSs for transport and grid applications, covering several aspects as the storage technology, the main applications, and the power converters used to operate some of the energy storage technologies. Special attention is given to the different applications, providing a deep description of the system and addressing the most suitable storage technology. The main objective of this paper is to introduce the subject and to give an updated reference to nonspecialist, academic, and engineers in the field of power electronics.

1,115 citations

Journal ArticleDOI
TL;DR: In this paper, the time-varying zenith wet delay observed at each GPS receiver in a network can be transformed into an estimate of the precipitable water overlying that receiver.
Abstract: Emerging networks of Global Positioning System (GPS) receivers can be used in the remote sensing of atmospheric water vapor. The time-varying zenith wet delay observed at each GPS receiver in a network can be transformed into an estimate of the precipitable water overlying that receiver. This transformation is achieved by multiplying the zenith wet delay by a factor whose magnitude is a function of certain constants related to the refractivity of moist air and of the weighted mean temperature of the atmosphere. The mean temperature varies in space and time and must be estimated a priori in order to transform an observed zenith wet delay into an estimate of precipitable water. We show that the relative error introduced during this transformation closely approximates the relative error in the predicted mean temperature. Numerical weather models can be used to predict the mean temperature with an rms relative error of less than 1%.

1,112 citations

Journal ArticleDOI
TL;DR: In this article, a content analysis of 275 nonprofit organization profiles on Facebook was conducted to examine how these new social networking sites are being used by the organizations to advance their organization's mission and programs.

1,109 citations

Journal ArticleDOI
Kanchon K. Dasmahapatra1, James R. Walters2, Adriana D. Briscoe3, John W. Davey, Annabel Whibley, Nicola J. Nadeau2, Aleksey V. Zimin4, Daniel S.T. Hughes5, Laura Ferguson5, Simon H. Martin2, Camilo Salazar6, Camilo Salazar2, James J. Lewis3, Sebastian Adler7, Seung-Joon Ahn8, Dean A. Baker9, Simon W. Baxter2, Nicola Chamberlain10, Ritika Chauhan11, Brian A. Counterman12, Tamas Dalmay11, Lawrence E. Gilbert13, Karl H.J. Gordon14, David G. Heckel8, Heather M. Hines5, Katharina J. Hoff7, Peter W. H. Holland5, Emmanuelle Jacquin-Joly15, Francis M. Jiggins, Robert T. Jones, Durrell D. Kapan16, Durrell D. Kapan17, Paul J. Kersey, Gerardo Lamas, Daniel Lawson, Daniel Mapleson11, Luana S. Maroja18, Arnaud Martin3, Simon Moxon19, William J. Palmer2, Riccardo Papa20, Alexie Papanicolaou14, Yannick Pauchet8, David A. Ray12, Neil Rosser1, Steven L. Salzberg21, Megan A. Supple22, Alison K. Surridge2, Ayşe Tenger-Trolander10, Heiko Vogel8, Paul A. Wilkinson23, Derek Wilson, James A. Yorke4, Furong Yuan3, Alexi Balmuth24, Cathlene Eland, Karim Gharbi, Marian Thomson, Richard A. Gibbs25, Yi Han25, Joy Jayaseelan25, Christie Kovar25, Tittu Mathew25, Donna M. Muzny25, Fiona Ongeri25, Ling-Ling Pu25, Jiaxin Qu25, Rebecca Thornton25, Kim C. Worley25, Yuanqing Wu25, Mauricio Linares26, Mark Blaxter, Richard H. ffrench-Constant27, Mathieu Joron, Marcus R. Kronforst10, Sean P. Mullen28, Robert D. Reed3, Steven E. Scherer25, Stephen Richards25, James Mallet10, James Mallet1, W. Owen McMillan, Chris D. Jiggins6, Chris D. Jiggins2 
05 Jul 2012-Nature
TL;DR: It is inferred that closely related Heliconius species exchange protective colour-pattern genes promiscuously, implying that hybridization has an important role in adaptive radiation.
Abstract: Sequencing of the genome of the butterfly Heliconius melpomene shows that closely related Heliconius species exchange protective colour-pattern genes promiscuously.

1,103 citations

Journal ArticleDOI
12 Jun 2015-Science
TL;DR: It is suggested that a golden age of animal tracking science has begun and that the upcoming years will be a time of unprecedented exciting discoveries.
Abstract: BACKGROUND The movement of animals makes them fascinating but difficult study subjects. Animal movements underpin many biological phenomena, and understanding them is critical for applications in conservation, health, and food. Traditional approaches to animal tracking used field biologists wielding antennas to record a few dozen locations per animal, revealing only the most general patterns of animal space use. The advent of satellite tracking automated this process, but initially was limited to larger animals and increased the resolution of trajectories to only a few hundred locations per animal. The last few years have shown exponential improvement in tracking technology, leading to smaller tracking devices that can return millions of movement steps for ever-smaller animals. Finally, we have a tool that returns high-resolution data that reveal the detailed facets of animal movement and its many implications for biodiversity, animal ecology, behavior, and ecosystem function. ADVANCES Improved technology has brought animal tracking into the realm of big data, not only through high-resolution movement trajectories, but also through the addition of other on-animal sensors and the integration of remote sensing data about the environment through which these animals are moving. These new data are opening up a breadth of new scientific questions about ecology, evolution, and physiology and enable the use of animals as sensors of the environment. High–temporal resolution movement data also can document brief but important contacts between animals, creating new opportunities to study social networks, as well as interspecific interactions such as competition and predation. With solar panels keeping batteries charged, “lifetime” tracks can now be collected for some species, while broader approaches are aiming for species-wide sampling across multiple populations. Miniaturized tags also help reduce the impact of the devices on the study subjects, improving animal welfare and scientific results. As in other disciplines, the explosion of data volume and variety has created new challenges and opportunities for information management, integration, and analysis. In an exciting interdisciplinary push, biologists, statisticians, and computer scientists have begun to develop new tools that are already leading to new insights and scientific breakthroughs. OUTLOOK We suggest that a golden age of animal tracking science has begun and that the upcoming years will be a time of unprecedented exciting discoveries. Technology continues to improve our ability to track animals, with the promise of smaller tags collecting more data, less invasively, on a greater variety of animals. The big-data tracking studies that are just now being pioneered will become commonplace. If analytical developments can keep pace, the field will be able to develop real-time predictive models that integrate habitat preferences, movement abilities, sensory capacities, and animal memories into movement forecasts. The unique perspective offered by big-data animal tracking enables a new view of animals as naturally evolved sensors of environment, which we think has the potential to help us monitor the planet in completely new ways. A massive multi-individual monitoring program would allow a quorum sensing of our planet, using a variety of species to tap into the diversity of senses that have evolved across animal groups, providing new insight on our world through the sixth sense of the global animal collective. We expect that the field will soon reach a transformational point where these studies do more than inform us about particular species of animals, but allow the animals to teach us about the world.

1,096 citations


Authors

Showing all 44525 results

NameH-indexPapersCitations
Yi Cui2201015199725
Jing Wang1844046202769
Rodney S. Ruoff164666194902
Carlos Bustamante161770106053
David W. Johnson1602714140778
Joseph Wang158128298799
David Tilman158340149473
Jay Hauser1552145132683
James M. Tour14385991364
Joseph T. Hupp14173182647
Bin Liu138218187085
Rudolph E. Tanzi13563885376
Richard C. Boucher12949054509
David B. Allison12983669697
Robert W. Heath128104973171
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023160
2022652
20215,262
20205,458
20194,888
20184,522