Institution
University of Nebraska Omaha
Education•Omaha, Nebraska, United States•
About: University of Nebraska Omaha is a education organization based out in Omaha, Nebraska, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 4526 authors who have published 8905 publications receiving 213914 citations. The organization is also known as: UNO & University of Omaha.
Papers published on a yearly basis
Papers
More filters
••
Medical University of Łódź1, Medical University of Graz2, Kuwait University3, Swiss Institute of Allergy and Asthma Research4, University of Zurich5, Charité6, Royal Perth Hospital7, Mahidol University8, Brigham and Women's Hospital9, Tan Tock Seng Hospital10, Emory University11, Johns Hopkins University12, Helsinki University Central Hospital13, National University of Singapore14, University of Barcelona15, Rutgers University16, Ajou University17, University of South Florida18, University of Genoa19, Nippon Medical School20, Ludwig Maximilian University of Munich21, Autonomous University of Madrid22, Icahn School of Medicine at Mount Sinai23, University of Nebraska Omaha24, Ruhr University Bochum25, Medical University of Vienna26, University of Cartagena27, University of Vienna28, McMaster University29, Istituto Giannina Gaslini30
TL;DR: A group of allergy experts within the World Allergy Organization (WAO), representing various continents and areas of allergy expertise, presents this report on risk associated with diagnostic and therapeutic procedures in allergology and proposes a consensus on safety requirements for performing procedures in allergy offices.
111 citations
••
TL;DR: In this article, two streams of research and theory development, resource dependence and population ecology, are combined to develop a model of the relationship between organization formation and environmental management, and the model is applied to the problem of resource allocation.
Abstract: Two streams of research and theory development, resource dependence and population ecology, are combined to develop a model of the relationship between organization formation and environmental muni
111 citations
••
24 Aug 2014TL;DR: Compared to other metrics, permanence provides a more accurate estimate of a derived community structure to the ground-truth community and is more sensitive to perturbations in the network.
Abstract: Despite the prevalence of community detection algorithms, relatively less work has been done on understanding whether a network is indeed modular and how resilient the community structure is under perturbations. To address this issue, we propose a new vertex-based metric called "permanence", that can quantitatively give an estimate of the community- like structure of the network.The central idea of permanence is based on the observation that the strength of membership of a vertex to a community depends upon the following two factors: (i) the distribution of external connectivity of the vertex to individual communities and not the total external connectivity, and (ii) the strength of its internal connectivity and not just the total internal edges.In this paper, we demonstrate that compared to other metrics, permanence provides (i) a more accurate estimate of a derived community structure to the ground-truth community and (ii) is more sensitive to perturbations in the network. As a by-product of this study, we have also developed a community detection algorithm based on maximizing permanence. For a modular network structure, the results of our algorithm match well with ground-truth communities.
111 citations
••
TL;DR: Age of acquisition ratings made on a 1-7 scale for 3,000 monosyllabic words were obtained from 32 participants across four blocks of 750 trials, indicating that participants were consistent in their ratings across blocks.
Abstract: Age of acquisition (AoA) ratings made on a 1-7 scale for 3,000 monosyllabic words were obtained from 32 participants across four blocks of 750 trials (two blocks of 750 trials were completed in each of 2 days). These results, as well as those of the regression analyses and reliability and validity measures that were originally reported in Cortese and Khanna (2007), are summarized here. Here, we also report high interblock correlations across items, indicating that participants were consistent in their ratings across blocks. The norms for the 3,000 words are important for researchers interested in word processing and may be downloaded from the Psychonomic Society’s Norms, Stimuli, and Data archive at www.psychonomic.org/archive.
111 citations
••
TL;DR: In this study, kindred evidence for linkage to chromosome 17q21 was obtained and the disease locus for a clinically distinct familial neurodegenerative disease named 'disinhibition-dementia-parkinsonism-amyotrophy complex' (DDPAC) was recently mapped to the same region of chromosome 17, suggesting that PPND and DDPAC may possibly originate from mutations in the same gene.
Abstract: Rapidly progressive autosomal dominant parkinsonism and dementia with pallido-ponto-nigral degeneration (PPND) is a neurodegenerative disorder which begins later in life (> 30 years of age) and is characterized by rapidly progressive parkinsonism, dystonia, dementia, perservative vocalizations and pyramidal tract dysfunction. The disease is observed in a large American family that includes almost 300 members in nine generations with 34 affected individuals. In this kindred evidence for linkage to chromosome 17q21 was obtained with a maximum lod score of 9.08 for the D17S958 locus. Multilocus analysis positions the disease gene in an approximately 10 cM region between D17S250 and D17S943. Notably, the disease locus for a clinically distinct familial neurodegenerative disease named 'disinhibition-dementia-parkinsonism-amyotrophy complex' (DDPAC) was recently mapped to the same region of chromosome 17, suggesting that PPND and DDPAC may possibly originate from mutations in the same gene.
111 citations
Authors
Showing all 4588 results
Name | H-index | Papers | Citations |
---|---|---|---|
Darell D. Bigner | 130 | 819 | 90558 |
Dan L. Longo | 125 | 697 | 56085 |
William B. Dobyns | 105 | 430 | 38956 |
Eamonn Martin Quigley | 103 | 685 | 39585 |
Howard E. Gendelman | 101 | 567 | 39460 |
Alexander V. Kabanov | 99 | 447 | 34519 |
Douglas T. Fearon | 94 | 278 | 35140 |
Dapeng Yu | 94 | 745 | 33613 |
John E. Wagner | 94 | 488 | 35586 |
Zbigniew K. Wszolek | 93 | 576 | 39943 |
Surinder K. Batra | 87 | 564 | 30653 |
Frank L. Graham | 85 | 255 | 39619 |
Jing Zhou | 84 | 533 | 37101 |
Manish Sharma | 82 | 1407 | 33361 |
Peter F. Wright | 77 | 252 | 21498 |