scispace - formally typeset
Search or ask a question
Institution

University of Wisconsin–Milwaukee

EducationMilwaukee, 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.


Papers
More filters
Journal ArticleDOI
Leslie A. Lange1, Youna Hu2, He Zhang2, Chenyi Xue2, Ellen M. Schmidt2, Zheng-Zheng Tang1, Chris Bizon3, Ethan M. Lange1, Joshua D. Smith4, Emily H. Turner4, Goo Jun2, Hyun Min Kang2, Gina M. Peloso5, Paul L. Auer6, Kuo Ping Li2, Jason Flannick7, Ji Zhang2, Christian Fuchsberger2, Kyle J. Gaulton8, Cecilia M. Lindgren8, Adam E. Locke2, Alisa K. Manning7, Xueling Sim2, Manuel A. Rivas8, Oddgeir L. Holmen9, Omri Gottesman10, Yingchang Lu10, Douglas M. Ruderfer10, Eli A. Stahl10, Qing Duan1, Yun Li1, Peter Durda11, Shuo Jiao12, Aaron Isaacs13, Albert Hofman13, Joshua C. Bis4, Adolfo Correa14, Michael Griswold14, Johanna Jakobsdottir, Albert V. Smith15, Pamela J. Schreiner16, Mary F. Feitosa17, Qunyuan Zhang17, Jennifer E. Huffman18, Jacy R Crosby19, Christina L. Wassel20, Ron Do5, Nora Franceschini1, Lisa W. Martin21, Jennifer G. Robinson22, Themistocles L. Assimes23, David R. Crosslin4, Elisabeth A. Rosenthal4, Michael Y. Tsai16, Mark J. Rieder4, Deborah N. Farlow5, Aaron R. Folsom16, Thomas Lumley24, Ervin R. Fox14, Christopher S. Carlson12, Ulrike Peters12, Rebecca D. Jackson25, Cornelia M. van Duijn13, André G. Uitterlinden13, Daniel Levy26, Jerome I. Rotter27, Herman A. Taylor28, Vilmundur Gudnason15, David S. Siscovick4, Myriam Fornage19, Ingrid B. Borecki17, Caroline Hayward18, Igor Rudan18, Y. Eugene Chen2, Erwin P. Bottinger10, Ruth J. F. Loos10, Pål Sætrom9, Kristian Hveem9, Michael Boehnke2, Leif Groop29, Mark I. McCarthy8, Thomas Meitinger30, Christie M. Ballantyne31, Stacey Gabriel5, Christopher J. O'Donnell7, Wendy S. Post32, Kari E. North1, Alexander P. Reiner4, Eric Boerwinkle19, Bruce M. Psaty33, David Altshuler7, Sekar Kathiresan7, Danyu Lin1, Gail P. Jarvik4, L. Adrienne Cupples26, Charles Kooperberg12, James G. Wilson14, Deborah A. Nickerson4, Gonçalo R. Abecasis2, Stephen S. Rich34, Russell P. Tracy11, Cristen J. Willer2 
TL;DR: This large whole-exome-sequencing study for LDL-C identified a gene not known to be implicated in LDL- C and provides unique insight into the design and analysis of similar experiments.
Abstract: Elevated low-density lipoprotein cholesterol (LDL-C) is a treatable, heritable risk factor for cardiovascular disease. Genome-wide association studies (GWASs) have identified 157 variants associated with lipid levels but are not well suited to assess the impact of rare and low-frequency variants. To determine whether rare or low-frequency coding variants are associated with LDL-C, we exome sequenced 2,005 individuals, including 554 individuals selected for extreme LDL-C (>98(th) or <2(nd) percentile). Follow-up analyses included sequencing of 1,302 additional individuals and genotype-based analysis of 52,221 individuals. We observed significant evidence of association between LDL-C and the burden of rare or low-frequency variants in PNPLA5, encoding a phospholipase-domain-containing protein, and both known and previously unidentified variants in PCSK9, LDLR and APOB, three known lipid-related genes. The effect sizes for the burden of rare variants for each associated gene were substantially higher than those observed for individual SNPs identified from GWASs. We replicated the PNPLA5 signal in an independent large-scale sequencing study of 2,084 individuals. In conclusion, this large whole-exome-sequencing study for LDL-C identified a gene not known to be implicated in LDL-C and provides unique insight into the design and analysis of similar experiments.

201 citations

Journal ArticleDOI
TL;DR: In this paper, the authors performed high-resolution magnetohydrodynamics simulations of binary neutron star mergers in numerical relativity on the Japanese supercomputer K. It is shown that a hypermassive neutron star (HMNS) formed after the merger is then subject to the nonaxisymmetric magnetorotational instability, which amplifies the magnetic field in the HMNS.
Abstract: We perform high-resolution magnetohydrodynamics simulations of binary neutron star mergers in numerical relativity on the Japanese supercomputer K. The neutron stars and merger remnants are covered by a grid spacing of 70 m, which yields the highest-resolution results among those derived so far. By an in-depth resolution study, we clarify several amplification mechanisms of magnetic fields during the binary neutron star merger for the first time. First, the Kelvin-Helmholtz instability developed in the shear layer at the onset of the merger significantly amplifies the magnetic fields. A hypermassive neutron star (HMNS) formed after the merger is then subject to the nonaxisymmetric magnetorotational instability, which amplifies the magnetic field in the HMNS. These two amplification mechanisms cannot be found with insufficient-resolution runs. We also show that the HMNS eventually collapses to a black hole surrounded by an accretion torus which is strongly magnetized at birth.

201 citations

Journal ArticleDOI
TL;DR: Research is reviewed on the impact of several contextual factors on tic expression and implications for future research and treatment development are discussed.

201 citations

Journal ArticleDOI
TL;DR: In this paper, the authors examined four explanations of corruption in American states: historical/cultural, political, structural, and bureaucratic, and found that corruption is associated with historical/culture, political forces, and government size and policies that increase bribe opportunities.
Abstract: This study is an empirical examination of political corruption in the American states. Using the number of public officials who are convicted of crimes involving corruption as the dependent variable, four explanations of corruption are examined--historical/cultural, political, structural, and bureaucratic. We find that corruption is associated with historical/cultural forces, political forces (especially turnout and party competition), and bureaucratic forces (government size and policies that increase bribe opportunities). Structural factors (e.g., campaign finance reporting requirements, centralization, direct democracy) are unrelated to the incidence of corruption. Finally, the study shows some evidence that prosecution of corrupt public officials was subject to partisan and racial targeting during the Reagan administration and racial targeting during the Carter administration.

201 citations

Journal ArticleDOI
TL;DR: It is found that, to get good agreement between theory and recent experimental measurements of H(c2), this helical structure is required, and a Josephson junction experiment is proposed that can be used to detect thishelical order.
Abstract: We consider the role of magnetic fields on the broken inversion superconductor CePt3Si. We show that the upper critical field for a field along the c axis exhibits a much weaker paramagnetic effect than for a field applied perpendicular to the c axis. The in-plane paramagnetic effect is strongly reduced by the appearance of helical structure in the order parameter. We find that, to get good agreement between theory and recent experimental measurements of H(c2), this helical structure is required. We propose a Josephson junction experiment that can be used to detect this helical order. In particular, we predict that the Josephson current will exhibit a magnetic interference pattern for a magnetic field applied perpendicular to the junction normal. We also discuss unusual magnetic effects associated with the helical order.

201 citations


Authors

Showing all 11948 results

NameH-indexPapersCitations
Caroline S. Fox155599138951
Mark D. Griffiths124123861335
Benjamin William Allen12480787750
James A. Dumesic11861558935
Richard O'Shaughnessy11446277439
Patrick Brady11044273418
Laura Cadonati10945073356
Stephen Fairhurst10942671657
Benno Willke10950874673
Benjamin J. Owen10835170678
Kenneth H. Nealson10848351100
P. Ajith10737270245
Duncan A. Brown10756768823
I. A. Bilenko10539368801
F. Fidecaro10556974781
Network Information
Related Institutions (5)
Arizona State University
109.6K papers, 4.4M citations

95% related

Pennsylvania State University
196.8K papers, 8.3M citations

95% related

University of Colorado Boulder
115.1K papers, 5.3M citations

94% related

Rutgers University
159.4K papers, 6.7M citations

93% related

University of Maryland, College Park
155.9K papers, 7.2M citations

93% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202330
2022194
20211,150
20201,189
20191,085
20181,141