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Institution

University of Nebraska–Lincoln

EducationLincoln, Nebraska, United States
About: University of Nebraska–Lincoln is a education organization based out in Lincoln, Nebraska, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 28059 authors who have published 61544 publications receiving 2139104 citations. The organization is also known as: Nebraska & UNL.


Papers
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Journal ArticleDOI
30 May 2003-Science
TL;DR: This work identified selenoprotein genes in sequenced mammalian genomes by methods that rely on identification of selenocysteine insertion RNA structures, the coding potential of UGA codons, and the presence of cysteine-containing homologs.
Abstract: In the genetic code, UGA serves as a stop signal and a selenocysteine codon, but no computational methods for identifying its coding function are available. Consequently, most selenoprotein genes are misannotated. We identified selenoprotein genes in sequenced mammalian genomes by methods that rely on identification of selenocysteine insertion RNA structures, the coding potential of UGA codons, and the presence of cysteine-containing homologs. The human selenoproteome consists of 25 selenoproteins.

2,096 citations

Journal ArticleDOI
26 Oct 2001-Science
TL;DR: These results help resolve debate over biodiversity and ecosystem functioning, show effects at higher than expected diversity levels, and demonstrate, for these ecosystems, that even the best-chosen monocultures cannot achieve greater productivity or carbon stores than higher-diversity sites.
Abstract: Plant diversity and niche complementarity had progressively stronger effects on ecosystem functioning during a 7-year experiment, with 16-species plots attaining 2.7 times greater biomass than monocultures. Diversity effects were neither transients nor explained solely by a few productive or unviable species. Rather, many higher-diversity plots outperformed the best monoculture. These results help resolve debate over biodiversity and ecosystem functioning, show effects at higher than expected diversity levels, and demonstrate, for these ecosystems, that even the best-chosen monocultures cannot achieve greater productivity or carbon stores than higher-diversity sites.

2,091 citations

Journal ArticleDOI
TL;DR: The CUBIC protocol modifies the linear window growth function of existing TCP standards to be a cubic function in order to improve the scalability of TCP over fast and long distance networks.
Abstract: CUBIC is a congestion control protocol for TCP (transmission control protocol) and the current default TCP algorithm in Linux. The protocol modifies the linear window growth function of existing TCP standards to be a cubic function in order to improve the scalability of TCP over fast and long distance networks. It also achieves more equitable bandwidth allocations among flows with different RTTs (round trip times) by making the window growth to be independent of RTT -- thus those flows grow their congestion window at the same rate. During steady state, CUBIC increases the window size aggressively when the window is far from the saturation point, and the slowly when it is close to the saturation point. This feature allows CUBIC to be very scalable when the bandwidth and delay product of the network is large, and at the same time, be highly stable and also fair to standard TCP flows. The implementation of CUBIC in Linux has gone through several upgrades. This paper documents its design, implementation, performance and evolution as the default TCP algorithm of Linux.

2,088 citations

Journal ArticleDOI
TL;DR: In this paper, the authors discuss the role of definitions in the understanding of the Drought Phenomenon: The Role of Definitions and the Role of Water International: Vol. 10, No. 3, pp. 111-120.
Abstract: (1985). Understanding: the Drought Phenomenon: The Role of Definitions. Water International: Vol. 10, No. 3, pp. 111-120.

2,078 citations


Authors

Showing all 28272 results

NameH-indexPapersCitations
Donald P. Schneider2421622263641
Suvadeep Bose154960129071
David D'Enterria1501592116210
Aaron Dominguez1471968113224
Gregory R Snow1471704115677
J. S. Keller14498198249
Andrew Askew140149699635
Mitchell Wayne1391810108776
Kenneth Bloom1381958110129
P. de Barbaro1371657102360
Randy Ruchti1371832107846
Ia Iashvili135167699461
Yuichi Kubota133169598570
Ilya Kravchenko132136693639
Andrea Perrotta131138085669
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202393
2022381
20212,809
20202,977
20192,846
20182,854