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: X-ray scattering experiments indicate that the molecular orientation at the interfaces of bulk heterojunction organic solar cells influences the cells' fill factor and short-circuit current as discussed by the authors, which is very interesting.
Abstract: X-ray scattering experiments indicate that the molecular orientation at the interfaces of bulk heterojunction organic solar cells influences the cells’ fill factor and short-circuit current.
430 citations
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University of California, Irvine1, University of Puerto Rico, Río Piedras2, North Carolina State University3, Mississippi State University4, University of Cambridge5, Harvard University6, Human Genome Sequencing Center7, University of Texas MD Anderson Cancer Center8, Duke University9, Smithsonian Tropical Research Institute10
TL;DR: The results show that the cis-regulatory evolution of a single transcription factor can repeatedly drive the convergent evolution of complex color patterns in distantly related species, thus blurring the distinction between convergence and homology.
Abstract: Mimicry—whereby warning signals in different species evolve to look similar—has long served as a paradigm of convergent evolution. Little is known, however, about the genes that underlie the evolution of mimetic phenotypes or to what extent the same or different genes drive such convergence. Here, we characterize one of the major genes responsible for mimetic wing pattern evolution in Heliconius butterflies. Mapping, gene expression, and population genetic work all identify a single gene, optix, that controls extreme red wing pattern variation across multiple species of Heliconius. Our results show that the cis-regulatory evolution of a single transcription factor can repeatedly drive the convergent evolution of complex color patterns in distantly related species, thus blurring the distinction between convergence and homology.
429 citations
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TL;DR: The authors decompose the covariances into correlations and standard deviations and the correlation matrix follows a regime switching model; it is constant within a regime but different across regimes, and the transitions between the regimes are governed by a Markov chain.
429 citations
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TL;DR: Findings derived from an eclectic mix of species that show varying levels of sociality provide the foundation for the integration of molecular biology, genomics, neuroscience, behavioural biology and evolutionary biology that is necessary for this endeavour.
Abstract: Spectacular progress in molecular biology, genome-sequencing projects and genomics makes this an appropriate time to attempt a comprehensive understanding of the molecular basis of social life. Promising results have already been obtained in identifying genes that influence animal social behaviour and genes that are implicated in social evolution. These findings — derived from an eclectic mix of species that show varying levels of sociality — provide the foundation for the integration of molecular biology, genomics, neuroscience, behavioural biology and evolutionary biology that is necessary for this endeavour.
428 citations
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TL;DR: An adaptive evolutionary planner/navigator that unifies off-line planning and online planning/navigation processes in the same evolutionary algorithm that enables good tradeoffs among near-optimality of paths, high planning efficiency, and effective handling of unknown obstacles.
Abstract: Based on evolutionary computation (EC) concepts, we developed an adaptive evolutionary planner/navigator (EP/N) as a novel approach to path planning and navigation. The EP/N is characterized by generality, flexibility, and adaptability. It unifies off-line planning and online planning/navigation processes in the same evolutionary algorithm which 1) accommodates different optimization criteria and changes in these criteria, 2) incorporates various types of problem-specific domain knowledge, and 3) enables good tradeoffs among near-optimality of paths, high planning efficiency, and effective handling of unknown obstacles. More importantly, the EP/N can self-tune its performance for different task environments and changes in such environments, mostly through adapting probabilities of its operators and adjusting paths constantly, even during a robot's motion toward the goal.
428 citations
Authors
Showing all 44525 results
Name | H-index | Papers | Citations |
---|---|---|---|
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 |