Institution
North Carolina State University
Education•Raleigh, 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 published on a yearly basis
Papers
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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
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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
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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
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University College London1, University of Cambridge2, University of California, Irvine3, University of Maryland, College Park4, University of Oxford5, Smithsonian Institution6, University of Greifswald7, Max Planck Society8, Imperial College London9, Harvard University10, University of East Anglia11, Mississippi State University12, University of Texas at Austin13, Commonwealth Scientific and Industrial Research Organisation14, University of Paris15, University of Hawaii16, California Academy of Sciences17, Williams College18, Yale University19, University of Puerto Rico20, Johns Hopkins University21, North Carolina State University22, University of Bristol23, University of Edinburgh24, Baylor College of Medicine25, Del Rosario University26, University of Exeter27, Boston University28
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
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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
Name | H-index | Papers | Citations |
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Yi Cui | 220 | 1015 | 199725 |
Jing Wang | 184 | 4046 | 202769 |
Rodney S. Ruoff | 164 | 666 | 194902 |
Carlos Bustamante | 161 | 770 | 106053 |
David W. Johnson | 160 | 2714 | 140778 |
Joseph Wang | 158 | 1282 | 98799 |
David Tilman | 158 | 340 | 149473 |
Jay Hauser | 155 | 2145 | 132683 |
James M. Tour | 143 | 859 | 91364 |
Joseph T. Hupp | 141 | 731 | 82647 |
Bin Liu | 138 | 2181 | 87085 |
Rudolph E. Tanzi | 135 | 638 | 85376 |
Richard C. Boucher | 129 | 490 | 54509 |
David B. Allison | 129 | 836 | 69697 |
Robert W. Heath | 128 | 1049 | 73171 |