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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TL;DR: In this article, a comparison between observed aerosol optical properties from the MILAGRO field campaign, which took place in the Mexico City Metropolitan Area (MCMA) during March 2006, and values simulated by the Weather Research and Forecasting (WRF-Chem) model, reveals large differences.
Abstract: . A comparison between observed aerosol optical properties from the MILAGRO field campaign, which took place in the Mexico City Metropolitan Area (MCMA) during March 2006, and values simulated by the Weather Research and Forecasting (WRF-Chem) model, reveals large differences. To help identify the source of the discrepancies, data from the MILAGRO campaign are used to evaluate the "aerosol chemical to aerosol optical properties" module implemented in the full chemistry version of the WRF-Chem model. The evaluation uses measurements of aerosol size distributions and chemical properties obtained at the MILAGRO T1 site. These observations are fed to the module, which makes predictions of various aerosol optical properties, including the scattering coefficient, Bscat; the absorption coefficient, Babs; and the single-scattering albedo, ϖ0; all as a function of time. Values simulated by the module are compared with independent measurements obtained from a photoacoustic spectrometer (PAS) at a wavelength of 870 nm. Because of line losses and other factors, only "fine mode" aerosols with aerodynamic diameters less than 2.5 μm are considered here. Over a 10-day period, the simulations of hour-by-hour variations of Bscat are not satisfactory, but simulations of Babs and ϖ0 are considerably better. When averaged over the 10-day period, the computed and observed optical properties agree within the uncertainty limits of the measurements and simulations. Specifically, the observed and calculated values are, respectively: (1) Bscat, 34.1±5.1 Mm−1 versus 30.4±3.4 Mm−1; (2) Babs, 9.7±1.0 Mm−1 versus 11.7±1.2 Mm−1; and (3) ϖ0, 0.78±0.05 and 0.74±0.03. The discrepancies in values of ϖ0 simulated by the full WRF-Chem model thus cannot be attributed to the "aerosol chemistry to optics" module. The discrepancy is more likely due, in part, to poor characterization of emissions near the T1 site, particularly black carbon emissions.
195 citations
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TL;DR: By using the combinatorial methods of synthetic substrate libraries and substrate-phage display, an optimal substrate for granzyme B that spans over six subsites was determined to be Ile-Glu-Xaa-(Asp↓Xaa)-Gly, with cleavage of the Asp→Xaa peptide bond.
195 citations
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TL;DR: In this paper, the authors developed a method that combines economic and ecological models in a dynamic and spatial analysis to evaluate land use decisions and find cost-effective alternatives for which it is not possible to do better on one objective without harming another objective.
194 citations
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TL;DR: The fuzzy classifier detects classes of image pixels corresponding to gray level variation in the various directions using an extended Epanechnikov function as a fuzzy set membership function (FSMF), which is significantly faster than the Canny algorithm.
194 citations
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Ames Research Center1, Search for extraterrestrial intelligence2, Planetary Science Institute3, University of California, Davis4, University of Arkansas5, American Museum of Natural History6, Fordham University7, University of California, Berkeley8, Kanazawa University9, Purdue University10, Istituto Nazionale di Fisica Nucleare11, Field Museum of Natural History12, University of Chicago13, University of California, Los Angeles14, California Institute of Technology15, University of California, San Diego16, University of Tokyo17, Carnegie Institution for Science18, Aix-Marseille University19, Goddard Space Flight Center20, Oak Ridge Associated Universities21, Arizona State University22, Technische Universität München23, Open University24, Kyushu University25, Brown University26, University of Nevada, Reno27, University of Western Ontario28, Meteor29, Science Applications International Corporation30, University of Maryland, College Park31, Rice University32, Lawrence Livermore National Laboratory33, University of Upper Alsace34
TL;DR: A comprehensive analysis of some of these fragments shows that the Sutter's Mill meteorite represents a new type of carbonaceous chondrite, a rare and primitive class of meteorites that contain clues to the origin and evolution of primitive materials in the solar system.
Abstract: Doppler weather radar imaging enabled the rapid recovery of the Sutter’s Mill meteorite after a rare 4-kiloton of TNT–equivalent asteroid impact over the foothills of the Sierra Nevada in northern California. The recovered meteorites survived a record high-speed entry of 28.6 kilometers per second from an orbit close to that of Jupiter-family comets (Tisserand’s parameter = 2.8 ± 0.3). Sutter’s Mill is a regolith breccia composed of CM (Mighei)–type carbonaceous chondrite and highly reduced xenolithic materials. It exhibits considerable diversity of mineralogy, petrography, and isotope and organic chemistry, resulting from a complex formation history of the parent body surface. That diversity is quickly masked by alteration once in the terrestrial environment but will need to be considered when samples returned by missions to C-class asteroids are interpreted.
194 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 |