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
TL;DR: In this article, the authors measured the mass of the MSP J0740+6620 to be ${\mathbf{2.14} + 2.09} + 0.10% credibility interval.
Abstract: Despite its importance to our understanding of physics at supranuclear densities, the equation of state (EoS) of matter deep within neutron stars remains poorly understood. Millisecond pulsars (MSPs) are among the most useful astrophysical objects in the Universe for testing fundamental physics, and place some of the most stringent constraints on this high-density EoS. Pulsar timing—the process of accounting for every rotation of a pulsar over long time periods—can precisely measure a wide variety of physical phenomena, including those that allow the measurement of the masses of the components of a pulsar binary system1. One of these, called relativistic Shapiro delay2, can yield precise masses for both an MSP and its companion; however, it is only easily observed in a small subset of high-precision, highly inclined (nearly edge-on) binary pulsar systems. By combining data from the North American Nanohertz Observatory for Gravitational Waves (NANOGrav) 12.5-yr data set with recent orbital-phase-specific observations using the Green Bank Telescope, we have measured the mass of the MSP J0740+6620 to be $${\mathbf{2}}{\mathbf{.14}}_{ - {\mathbf{0}}{\mathbf{.09}}}^{ + {\mathbf{0}}{\mathbf{.10}}}$$ M⊙ (68.3% credibility interval; the 95.4% credibility interval is $${\mathbf{2}}{\mathbf{.14}}_{ - {\mathbf{0}}{\mathbf{.18}}}^{ + {\mathbf{0}}{\mathbf{.20}}}$$ M⊙). It is highly likely to be the most massive neutron star yet observed, and serves as a strong constraint on the neutron star interior EoS. Cromartie et al. have probably found the most massive neutron star discovered so far by combining NANOGrav 12.5-yr data with radio data from the Green Bank Telescope. Millisecond pulsar J0740+6620 has a mass of 2.14 M⊙, ~0.1 M⊙ more massive than the previous record holder, and very close to the upper limit on neutron star masses from Laser Interferometer Gravitational-Wave Observatory measurements.

770 citations

Journal ArticleDOI
Roel J. W. Brienen1, Oliver L. Phillips1, Ted R. Feldpausch1, Ted R. Feldpausch2, Emanuel Gloor1, Timothy R. Baker1, Jon Lloyd3, Jon Lloyd4, Gabriela Lopez-Gonzalez1, Abel Monteagudo-Mendoza, Yadvinder Malhi5, Simon L. Lewis1, Simon L. Lewis6, R. Vásquez Martínez, Miguel Alexiades7, E. Alvarez Dávila, Patricia Alvarez-Loayza8, Ana Andrade9, Luiz E. O. C. Aragão2, Luiz E. O. C. Aragão10, Alejandro Araujo-Murakami11, Eric Arets12, Luzmila Arroyo11, Olaf Bánki13, Christopher Baraloto14, Christopher Baraloto15, Jorcely Barroso16, Damien Bonal15, René G. A. Boot17, José Luís Camargo9, Carolina V. Castilho18, V. Chama, Kuo-Jung Chao19, Kuo-Jung Chao1, Jérôme Chave20, James A. Comiskey21, F. Cornejo Valverde22, L da Costa23, E. A. de Oliveira24, A. Di Fiore25, Terry L. Erwin26, Sophie Fauset1, Mônica Forsthofer24, David W. Galbraith1, E S Grahame1, Nikée Groot1, Bruno Hérault, Niro Higuchi9, E.N. Honorio Coronado22, E.N. Honorio Coronado1, Helen C. Keeling1, Timothy J. Killeen27, William F. Laurance3, Susan G. Laurance3, Juan Carlos Licona, W E Magnussen, Beatriz Schwantes Marimon24, Ben Hur Marimon-Junior24, Casimiro Mendoza28, David A. Neill, Euler Melo Nogueira, Pablo Núñez, N. C. Pallqui Camacho, Alexander Parada11, G. Pardo-Molina, Julie Peacock1, Marielos Peña-Claros12, Georgia Pickavance1, Nigel C. A. Pitman29, Nigel C. A. Pitman8, Lourens Poorter12, Adriana Prieto30, Carlos A. Quesada, Fredy Ramírez30, Hirma Ramírez-Angulo31, Zorayda Restrepo, Anand Roopsind, Agustín Rudas32, Rafael de Paiva Salomão33, Michael P. Schwarz1, Natalino Silva, Javier E. Silva-Espejo, Marcos Silveira16, Juliana Stropp, Joey Talbot1, H. ter Steege34, H. ter Steege35, J Teran-Aguilar, John Terborgh8, Raquel Thomas-Caesar, Marisol Toledo, Mireia Torello-Raventos3, Ricardo Keichi Umetsu24, G. M. F. van der Heijden36, G. M. F. van der Heijden37, G. M. F. van der Heijden38, P. van der Hout, I. C. Guimarães Vieira33, Simone Aparecida Vieira39, Emilio Vilanova31, Vincent A. Vos, Roderick Zagt17 
19 Mar 2015-Nature
TL;DR: It is confirmed that Amazon forests have acted as a long-term net biomass sink, but the observed decline of the Amazon sink diverges markedly from the recent increase in terrestrial carbon uptake at the global scale, and is contrary to expectations based on models
Abstract: Atmospheric carbon dioxide records indicate that the land surface has acted as a strong global carbon sink over recent decades, with a substantial fraction of this sink probably located in the tropics, particularly in the Amazon. Nevertheless, it is unclear how the terrestrial carbon sink will evolve as climate and atmospheric composition continue to change. Here we analyse the historical evolution of the biomass dynamics of the Amazon rainforest over three decades using a distributed network of 321 plots. While this analysis confirms that Amazon forests have acted as a long-term net biomass sink, we find a long-term decreasing trend of carbon accumulation. Rates of net increase in above-ground biomass declined by one-third during the past decade compared to the 1990s. This is a consequence of growth rate increases levelling off recently, while biomass mortality persistently increased throughout, leading to a shortening of carbon residence times. Potential drivers for the mortality increase include greater climate variability, and feedbacks of faster growth on mortality, resulting in shortened tree longevity. The observed decline of the Amazon sink diverges markedly from the recent increase in terrestrial carbon uptake at the global scale, and is contrary to expectations based on models.

767 citations

Journal ArticleDOI
TL;DR: The 1991 General Social Survey of 745 randomly selected workers in the United States assessed the impact of family-responsive human resource policies, such as parental leave, flexible schedules, and child care assistance on organizational attachment.
Abstract: The 1991 General Social Survey of 745 randomly selected workers in the United States assessed the impact of family-responsive human resource policies, such as parental leave, flexible schedules, and child care assistance on organizational attachment. Employees who had access to family-responsive policies showed significantly greater organizational committment and expressed significantly lower intention to quit their jobs. Additionally, child care information referral had a greater impact on affective commitment among employees eligible for that benefit. The data supported the theory that offering assistance to employees in need symbolizes concern for employees and positively influences attachment to the organization. The contrasting theoretical explanation–that people are more attached to companies when they individually benefit from progressive human resource policies–received considerably less support. The practical implication of the study for human resource management professionals is that providing comprehensive family-friendly policies may have a positive impact beyond the individual employees who tap these benefits.

764 citations

Journal ArticleDOI
01 May 2010
TL;DR: The conceptual model argues that individuals' intention to disclose such information depends on their trust, privacy concern, and information sensitivity, which are determined by personal dispositions-personality traits, information sensitivity; and experience-acting as intrinsic antecedents of trust.
Abstract: Reluctance to provide personal health information could impede the success of web-based healthcare services. This paper focuses on the role of personal dispositions in disclosing health information online. The conceptual model argues that individuals' intention to disclose such information depends on their trust, privacy concern, and information sensitivity, which are determined by personal dispositions-personality traits, information sensitivity, health status, prior privacy invasions, risk beliefs, and experience-acting as intrinsic antecedents of trust. The data (collected via a lab experiment) and the analysis shed light on the role of personal dispositions. This could assist in enhancing healthcare websites and increase the success of online delivery of health services.

759 citations

Journal ArticleDOI
TL;DR: In this article, the authors provide an account of some of the important developments in the autoregressive conditional heteroskedasticity model since its inception in a seminal paper by Engle (1982).
Abstract: . The aim of this survey paper is to provide an account of some of the important developments in the autoregressive conditional heteroskedasticity (ARCH) model since its inception in a seminal paper by Engle (1982). This model takes account of many observed properties of asset prices, and therefore, various interpretations can be attributed to it. We start with the basic ARCH models and discuss their different interpretations. ARCH models have been generalized in different directions to accommodate more and more features of the real world. We provide a comprehensive treatment of many of the extensions of the original ARCH model. Next we discuss estimation and testing for ARCH models and note that these models lead to some interesting and unique problems. There have been numerous applications and we mention some of these as we present different models. The paper includes a glossary of the acronyms for the models we describe.

752 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