Institution
University of Wisconsin–Milwaukee
Education•Milwaukee, Wisconsin, United States•
About: University of Wisconsin–Milwaukee is a education organization based out in Milwaukee, Wisconsin, United States. It is known for research contribution in the topics: Population & Gravitational wave. The organization has 11839 authors who have published 28034 publications receiving 936438 citations. The organization is also known as: UWM & University of Wisconsin-Milwaukee.
Topics: Population, Gravitational wave, Poison control, LIGO, Health care
Papers published on a yearly basis
Papers
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TL;DR: The approach retains useful features from single-variant meta-analysis approaches and is demonstrated to use in a study of blood lipid levels in ∼18,500 individuals genotyped with exome arrays.
Abstract: The majority of reported complex disease associations for common genetic variants have been identified through meta-analysis, a powerful approach that enables the use of large sample sizes while protecting against common artifacts due to population structure and repeated small-sample analyses sharing individual-level data. As the focus of genetic association studies shifts to rare variants, genes and other functional units are becoming the focus of analysis. Here we propose and evaluate new approaches for performing meta-analysis of rare variant association tests, including burden tests, weighted burden tests, variable-threshold tests and tests that allow variants with opposite effects to be grouped together. We show that our approach retains useful features from single-variant meta-analysis approaches and demonstrate its use in a study of blood lipid levels in ∼18,500 individuals genotyped with exome arrays.
198 citations
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TL;DR: It is verified that indeed during El Niño years predictability is lower compared to La Niña years.
Abstract: We construct the networks of the surface temperature field for El Nino and for La Nina years and investigate their structure. We find that the El Nino network possesses significantly fewer links and lower clustering coefficient and characteristic path length than the La Nina network, which indicates that the former network is less communicative and less stable than the latter. We conjecture that because of this, predictability of temperature should decrease during El Nino years. Here we verify that indeed during El Nino years predictability is lower compared to La Nina years.
198 citations
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TL;DR: Phenology has emerged recently as an important focus for ecological research, primarily because of its considerable promise to address important questions in global modeling, monitoring, and climate change as mentioned in this paper.
Abstract: Phenology has emerged recently as an important focus for ecological research, primarily because of its considerable promise to address important questions in global modeling, monitoring, and climate change. Remote sensing technological developments have also contributed to phenology’s resurgence, by generating extensive biosphere-related databases that require careful calibration and interpretation. This article reviews the major objectives, accomplishments, and challenges of contemporary phenological research, concentrating on papers presented in this thematic issue of the International Journal of Biometeorology and other recent venues relevant to global change. Strategies for the continued advancement toward global change-related goals are also presented. The crucial catalyst to this potential contribution will be the systematic development of observation networks on a national and global scale during the next decade and beyond.
197 citations
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TL;DR: In this paper, the existence of a low-dimensional strange attractor has been suggested for weather observations over a time interval of 11 hours, and the results suggest that the attractor can be used to predict weather over time scales ranging from decades to hundreds of thousands of years.
Abstract: Recent work has used ideas from the theory of dynamical systems in the study of climate and weather over timescales ranging from decades to hundreds of thousands of years1–5. In this study, similar ideas are applied to weather observations over a time interval of 11 hours. The results suggest the existence of a low-dimensional strange attractor.
197 citations
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TL;DR: This article investigated the relationship between presidential campaign activities and political mobilization in the states, with specific focus on the mobilization of core constituents using data on presidential campaign visits, presidential campaign media purchases, and party transfers to the states.
Abstract: Our objective is to investigate the relationship between presidential campaign activities and political mobilization in the states, with specific focus on the mobilization of core constituents. Using data on presidential campaign visits, presidential campaign media purchases, and party transfers to the states, we highlight some interesting mobilization patterns. First, voter turnout is positively influenced by presidential campaigns, though not by all campaign activities. Second, there is some evidence that campaigns have direct effects on the participation of core partisan groups. Finally, the ability of parties to mobilize their core groups has a strong effect on state electoral success that exists over and above the direct effect of campaign activity on electoral outcomes. All in all, we see the results as strong evidence that political mobilization in general and party transfers to the states in particular are an important component for understanding campaign effects in presidential elections.
197 citations
Authors
Showing all 11948 results
Name | H-index | Papers | Citations |
---|---|---|---|
Caroline S. Fox | 155 | 599 | 138951 |
Mark D. Griffiths | 124 | 1238 | 61335 |
Benjamin William Allen | 124 | 807 | 87750 |
James A. Dumesic | 118 | 615 | 58935 |
Richard O'Shaughnessy | 114 | 462 | 77439 |
Patrick Brady | 110 | 442 | 73418 |
Laura Cadonati | 109 | 450 | 73356 |
Stephen Fairhurst | 109 | 426 | 71657 |
Benno Willke | 109 | 508 | 74673 |
Benjamin J. Owen | 108 | 351 | 70678 |
Kenneth H. Nealson | 108 | 483 | 51100 |
P. Ajith | 107 | 372 | 70245 |
Duncan A. Brown | 107 | 567 | 68823 |
I. A. Bilenko | 105 | 393 | 68801 |
F. Fidecaro | 105 | 569 | 74781 |