Institution
University of Nevada, Reno
Education•Reno, Nevada, United States•
About: University of Nevada, Reno is a education organization based out in Reno, Nevada, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 13561 authors who have published 28217 publications receiving 882002 citations. The organization is also known as: University of Nevada & Nevada State University.
Papers published on a yearly basis
Papers
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16 May 2016TL;DR: A novel path planning algorithm for the autonomous exploration of unknown space using aerial robotic platforms that employs a receding horizon “next-best-view” scheme and its good scaling properties enable the handling of large scale and complex problem setups.
Abstract: This paper presents a novel path planning algorithm for the autonomous exploration of unknown space using aerial robotic platforms The proposed planner employs a receding horizon “next-best-view” scheme: In an online computed random tree it finds the best branch, the quality of which is determined by the amount of unmapped space that can be explored Only the first edge of this branch is executed at every planning step, while repetition of this procedure leads to complete exploration results The proposed planner is capable of running online, onboard a robot with limited resources Its high performance is evaluated in detailed simulation studies as well as in a challenging real world experiment using a rotorcraft micro aerial vehicle Analysis on the computational complexity of the algorithm is provided and its good scaling properties enable the handling of large scale and complex problem setups
427 citations
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University of Illinois at Urbana–Champaign1, Fujian Agriculture and Forestry University2, Donald Danforth Plant Science Center3, University of Arizona4, Cold Spring Harbor Laboratory5, University of Georgia6, University of Hawaii7, University of Nevada, Reno8, University of Ottawa9, University of California10, Institut de recherche pour le développement11, University of Tennessee12, Texas A&M University13, Youngstown State University14, Kunming University of Science and Technology15, University of Adelaide16, National Taiwan University17, Oak Ridge National Laboratory18, United States Department of Agriculture19, Oklahoma State University–Stillwater20, University of Oxford21
TL;DR: The pineapple lineage has transitioned from C3 photosynthesis to CAM, with CAM-related genes exhibiting a diel expression pattern in photosynthetic tissues, providing the first cis-regulatory link between CAM and circadian clock regulation.
Abstract: Pineapple (Ananas comosus (L.) Merr.) is the most economically valuable crop possessing crassulacean acid metabolism (CAM), a photosynthetic carbon assimilation pathway with high water-use efficiency, and the second most important tropical fruit. We sequenced the genomes of pineapple varieties F153 and MD2 and a wild pineapple relative, Ananas bracteatus accession CB5. The pineapple genome has one fewer ancient whole-genome duplication event than sequenced grass genomes and a conserved karyotype with seven chromosomes from before the ρ duplication event. The pineapple lineage has transitioned from C3 photosynthesis to CAM, with CAM-related genes exhibiting a diel expression pattern in photosynthetic tissues. CAM pathway genes were enriched with cis-regulatory elements associated with the regulation of circadian clock genes, providing the first cis-regulatory link between CAM and circadian clock regulation. Pineapple CAM photosynthesis evolved by the reconfiguration of pathways in C3 plants, through the regulatory neofunctionalization of preexisting genes and not through the acquisition of neofunctionalized genes via whole-genome or tandem gene duplication.
424 citations
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TL;DR: Patients with supravalvular aortic stenosis are investigated and data suggest that mutations in the elastin gene can cause SVAS, an inherited vascular disorder that causes hemodynamically significant narrowing of large elastic arteries.
424 citations
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University of Otago1, University of Cape Town2, Laval University3, University of California, San Francisco4, University of Wisconsin-Madison5, Creighton University6, University of Arizona7, Newcastle University8, Erasmus University Rotterdam9, University of Edinburgh10, Imperial College London11, University of Leicester12, University of Amsterdam13, University of Nevada, Reno14, University of Colorado Denver15, University of Washington16, University of Aberdeen17, University of Pittsburgh18, University of Sydney19
TL;DR: The need for separate concepts of control and severity is identified, their evolution in asthma guidelines is described and a framework for understanding the relationship between current concepts of asthma phenotype, severity and control is provided.
Abstract: Concepts of asthma severity and control are important in the evaluation of patients and their response to treatment but the terminology is not standardised and the terms are often used interchangeably. This review, arising from the work of an American Thoracic Society/European Respiratory Society Task Force, identifies the need for separate concepts of control and severity, describes their evolution in asthma guidelines and provides a framework for understanding the relationship between current concepts of asthma phenotype, severity and control. "Asthma control" refers to the extent to which the manifestations of asthma have been reduced or removed by treatment. Its assessment should incorporate the dual components of current clinical control (e.g. symptoms, reliever use and lung function) and future risk (e.g. exacerbations and lung function decline). The most clinically useful concept of asthma severity is based on the intensity of treatment required to achieve good asthma control, i.e. severity is assessed during treatment. Severe asthma is defined as the requirement for (not necessarily just prescription or use of) high-intensity treatment. Asthma severity may be influenced by the underlying disease activity and by the patient's phenotype, both of which may be further described using pathological and physiological markers. These markers can also act as surrogate measures for future risk.
424 citations
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TL;DR: The acceleration of high-energy ion beams (up to several tens of mega-electron-volts per nucleon) following the interaction of short (t 1018 W˙cm-2˙μm-2) laser pulses w...
Abstract: The acceleration of high-energy ion beams (up to several tens of mega-electron-volts per nucleon) following the interaction of short (t 1018 W˙cm-2˙μm-2) laser pulses w...
424 citations
Authors
Showing all 13726 results
Name | H-index | Papers | Citations |
---|---|---|---|
Robert Langer | 281 | 2324 | 326306 |
Thomas C. Südhof | 191 | 653 | 118007 |
David W. Johnson | 160 | 2714 | 140778 |
Menachem Elimelech | 157 | 547 | 95285 |
Jeffrey L. Cummings | 148 | 833 | 116067 |
Bing Zhang | 121 | 1194 | 56980 |
Arturo Casadevall | 120 | 980 | 55001 |
Mark H. Ellisman | 117 | 637 | 55289 |
Thomas G. Ksiazek | 113 | 398 | 46108 |
Anthony G. Fane | 112 | 565 | 40904 |
Leonardo M. Fabbri | 109 | 566 | 60838 |
Gary H. Lyman | 108 | 694 | 52469 |
Steven C. Hayes | 106 | 450 | 51556 |
Stephen P. Long | 103 | 384 | 46119 |
Gary Cutter | 103 | 737 | 40507 |