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: A meta-analysis of studies of television network news showed small, measurable, but probably insubstantial coverage and statement biases as mentioned in this paper, and no significant biases were found for the newspaper industry.
Abstract: A meta-analysis considered 59 quantitative studies containing data concerned with partisan media bias in presidential election campaigns since 1948. Types of bias considered were gatekeeping bias, which is the preference for selecting stories from one party or the other; coverage bias, which considers the relative amounts of coverage each party receives; and statement bias, which focuses on the favorability of coverage toward one party or the other. On the whole, no significant biases were found for the newspaper industry. Biases in newsmagazines were virtually zero as well. However, meta-analysis of studies of television network news showed small, measurable, but probably insubstantial coverage and statement biases.
442 citations
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TL;DR: The CA-reduced GO (CA-rGO) showed a high C/O ratio (715) that is among the best rGOs prepared with green reducing reagents as discussed by the authors.
Abstract: Preparation of graphene from chemical reduction of graphene oxide (GO) is recognized as one of the most promising methods for large-scale and low-cost production of graphene-based materials This study reports a new, green and efficient reducing agent (caffeic acid/CA) for GO reduction The CA-reduced GO (CA-rGO) shows a high C/O ratio (715) that is among the best rGOs prepared with green reducing reagents Electronic gas sensors and supercapacitors have been fabricated with the CA-rGO and show good performance, which demonstrates the potential of CA-rGO for sensing and energy storage applications
440 citations
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TL;DR: A novel method to combine sensitivity encoding (SENSE), one of the standard methods for parallel MRI, and compressed sensing for rapid MR imaging (SparseMRI), a recently proposed method for applying CS in MR imaging with Cartesian trajectories is proposed.
Abstract: Both parallel MRI and compressed sensing (CS) are emerging techniques to accelerate conventional MRI by reducing the number of acquired data. The combination of parallel MRI and CS for further acceleration is of great interest. In this paper, we propose a novel method to combine sensitivity encoding (SENSE), one of the standard methods for parallel MRI, and compressed sensing for rapid MR imaging (SparseMRI), a recently proposed method for applying CS in MR imaging with Cartesian trajectories. The proposed method, named CS-SENSE, sequentially reconstructs a set of aliased reduced-field-of-view images in each channel using SparseMRI and then reconstructs the final image from the aliased images using Cartesian SENSE. The results from simulations and phantom and in vivo experiments demonstrate that CS-SENSE can achieve a reduction factor higher than those achieved by SparseMRI and SENSE individually and outperform the existing method that combines parallel MRI and CS.
439 citations
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TL;DR: A new class of single state models is defined in which presliding is elastoplastic: under loading, frictional displacement is first purely elastic and then transitions to plastic, to substantially reduce drift while preserving the favorable properties of existing models.
Abstract: For control applications involving small displacements and velocities, friction modeling and compensation can be very important. In particular, the modeling of presliding displacement (motion prior to fully developed slip) can play a pivotal role. In this paper, it is shown that existing single-state friction models exhibit a nonphysical drift phenomenon which results from modeling presliding as a combination of elastic and plastic displacement. A new class of single state models is defined in which presliding is elastoplastic: under loading, frictional displacement is first purely elastic and then transitions to plastic. The new model class is demonstrated to substantially reduce drift while preserving the favorable properties of existing models (e.g., dissipativity) and to provide a comparable match to experimental data.
438 citations
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Lawrence Livermore National Laboratory1, Los Alamos National Laboratory2, University of Houston3, Oak Ridge National Laboratory4, Lawrence Berkeley National Laboratory5, University of Arizona6, Pacific Northwest National Laboratory7, Sandia National Laboratories8, University of British Columbia9, Argonne National Laboratory10, University of Michigan11, University of Wisconsin–Milwaukee12, National Center for Atmospheric Research13, Brookhaven National Laboratory14, University of California, San Diego15, House of Representatives16, Gwangju Institute of Science and Technology17, University of California, Irvine18
TL;DR: Energy Exascale Earth System Model (E3SM) project as mentioned in this paper is a project of the U.S. Department of Energy that aims to develop and validate the E3SM model.
Abstract: Energy Exascale Earth System Model (E3SM) project - U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research; Climate Model Development and Validation activity - Office of Biological and Environmental Research in the US Department of Energy Office of Science; Regional and Global Modeling and Analysis Program of the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research; National Research Foundation [NRF_2017R1A2b4007480]; Office of Science of the U.S. Department of Energy [DE-AC02-05CH11231]; DOE Office of Science User Facility [DE-AC05-00OR22725]; U.S. Department of Energy by Lawrence Livermore National Laboratory [DE-AC52-07NA27344]; DOE [DE-AC05-76RLO1830]; National Center for Atmospheric Research - National Science Foundation [1852977];[DE-SC0012778]
437 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 |