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Institution

University of Iowa

EducationIowa City, Iowa, United States
About: University of Iowa is a education organization based out in Iowa City, Iowa, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 49229 authors who have published 109171 publications receiving 5021465 citations. The organization is also known as: UI & The University of Iowa.


Papers
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Journal ArticleDOI
TL;DR: In this article, an experiment on ion-acoustic (IA) waves in dusty plasmas was performed in the dusty plasma device (DPD) of Xu et al. They found that the presence of negatively charged dust grains increases the phase velocity of the waves and also reduces the strength of the collisionless (Landau) damping to which the waves are subjected.

560 citations

Journal ArticleDOI
TL;DR: UbiCrawler as discussed by the authors is a scalable distributed Web crawler using the Java programming language, which has a very effective assignment function for partitioning the domain to crawl, and more in general the complete decentralization of every task.
Abstract: We report our experience in implementing UbiCrawler, a scalable distributed Web crawler, using the Java programming language. The main features of UbiCrawler are platform independence, linear scalability, graceful degradation in the presence of faults, a very effective assignment function (based on consistent hashing) for partitioning the domain to crawl, and more in general the complete decentralization of every task. The necessity of handling very large sets of data has highlighted some limitations of the Java APIs, which prompted the authors to partially reimplement them.

559 citations

Journal ArticleDOI
S. Chatrchyan, Khachatryan1, Albert M. Sirunyan, Armen Tumasyan  +2384 moreInstitutions (207)
26 May 2014
TL;DR: In this paper, a description of the software algorithms developed for the CMS tracker both for reconstructing charged-particle trajectories in proton-proton interactions and for using the resulting tracks to estimate the positions of the LHC luminous region and individual primary-interaction vertices is provided.
Abstract: A description is provided of the software algorithms developed for the CMS tracker both for reconstructing charged-particle trajectories in proton-proton interactions and for using the resulting tracks to estimate the positions of the LHC luminous region and individual primary-interaction vertices. Despite the very hostile environment at the LHC, the performance obtained with these algorithms is found to be excellent. For tt events under typical 2011 pileup conditions, the average track-reconstruction efficiency for promptly-produced charged particles with transverse momenta of p_T > 0.9GeV is 94% for pseudorapidities of |η| < 0.9 and 85% for 0.9 < |η| < 2.5. The inefficiency is caused mainly by hadrons that undergo nuclear interactions in the tracker material. For isolated muons, the corresponding efficiencies are essentially 100%. For isolated muons of p_T = 100GeV emitted at |η| < 1.4, the resolutions are approximately 2.8% in p_T, and respectively, 10μm and 30μm in the transverse and longitudinal impact parameters. The position resolution achieved for reconstructed primary vertices that correspond to interesting pp collisions is 10–12μm in each of the three spatial dimensions. The tracking and vertexing software is fast and flexible, and easily adaptable to other functions, such as fast tracking for the trigger, or dedicated tracking for electrons that takes into account bremsstrahlung.

559 citations

Journal ArticleDOI
TL;DR: The theory of purposeful work behavior as mentioned in this paper integrates higher-order implicit goals with principles derived from the Five-Factor Model (FFM) of personality and the expanded job characteristics model to explain how traits and job characteristics jointly and interactively influence work outcomes.
Abstract: The theory of purposeful work behavior integrates higher-order implicit goals with principles derived from the Five-Factor Model (FFM) of personality and the expanded job characteristics model to explain how traits and job characteristics jointly and interactively influence work outcomes. The core principle of the theory is that personality traits initiate purposeful goal strivings, and when the motivational forces associated with job characteristics act in concert with these purposeful motivational strivings, individuals experience the psychological state of experienced meaningfulness. In turn, experienced meaningfulness triggers task-specific motivation processes that influence the attainment of work outcomes. We describe testable propositions derived from the theory and discuss directions for future research.

559 citations


Authors

Showing all 49661 results

NameH-indexPapersCitations
Stephen V. Faraone1881427140298
Jie Zhang1784857221720
D. M. Strom1763167194314
Bradley T. Hyman169765136098
John H. Seinfeld165921114911
David Jonathan Hofman1591407140442
Stephen J. O'Brien153106293025
John T. Cacioppo147477110223
Mark Raymond Adams1471187135038
E. L. Barberio1431605115709
Andrew Ivanov142181297390
Stephen J. Lippard141120189269
Russell Richard Betts140132395678
Barry Blumenfeld1401909105694
Marcus Hohlmann140135694739
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023154
2022727
20214,129
20203,902
20193,763
20183,659