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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
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Journal ArticleDOI
TL;DR: In this paper, the authors investigated the impact of board diversity on the incidence of financial restatement and found that there is a negative relation between female board presence (defined as whether or not a board has at least one female director) and the likelihood of a financial restATement.
Abstract: SYNOPSIS: This paper investigates the impact of one form of board diversity on the incidence of financial restatement. More specifically, we hypothesize that there is a negative relation between female board presence (defined as whether or not a board has at least one female director) and the likelihood of a financial restatement. Our hypothesis is consistent with a female board presence contributing to the board's ability to maintain an attitude of mental independence, diminishing the extent of groupthink and enhancing the ability of the board to monitor financial reporting. Utilizing the U.S. General Accounting Office (U.S. GAO 2002) report on restatements, we construct a matched-pair sample of 278 annual (187 quarterly) restatement and 278 annual (187 quarterly) control firms. After controlling for other restatement-related factors, we find a significant association between the presence of at least one woman on the board and a lower likelihood of restatement. Our results continue to hold in annual rest...

203 citations

Journal ArticleDOI
TL;DR: This work presents a query answering procedure that takes a query Q and a set of evidence E and constructs a Bayesian network to compute P(Q¦E) .

203 citations

Journal ArticleDOI
07 Nov 2012-PLOS ONE
TL;DR: Preliminary results indicate that when used for prospective motion correction, the system enables improvement in image quality at both 3 T and 7 T, even in experienced and cooperative subjects trained to remain motionless during imaging.
Abstract: Magnetic resonance imaging (MRI) is a widely used method for non-invasive study of the structure and function of the human brain. Increasing magnetic field strengths enable higher resolution imaging; however, long scan times and high motion sensitivity mean that image quality is often limited by the involuntary motion of the subject. Prospective motion correction is a technique that addresses this problem by tracking head motion and continuously updating the imaging pulse sequence, locking the imaging volume position and orientation relative to the moving brain. The accuracy and precision of current MR-compatible tracking systems and navigator methods allows the quantification and correction of large-scale motion, but not the correction of very small involuntary movements in six degrees of freedom. In this work, we present an MR-compatible tracking system comprising a single camera and a single 15 mm marker that provides tracking precision in the order of 10 m and 0.01 degrees. We show preliminary results, which indicate that when used for prospective motion correction, the system enables improvement in image quality at both 3 T and 7 T, even in experienced and cooperative subjects trained to remain motionless during imaging. We also report direct observation and quantification of the mechanical ballistocardiogram (BCG) during simultaneous MR imaging. This is particularly apparent in the head-feet direction, with a peak-to-peak displacement of 140 m.

203 citations

Journal ArticleDOI
TL;DR: Future research that addresses these and additional environmental chemicals, including their most common routes of exposures, with accurate exposure measurement pertaining to several developmental windows, is essential to guide efforts for the prevention of the neurodevelopmental damage that manifests in autism symptoms.

203 citations

Journal ArticleDOI
TL;DR: Analysis of the evolution of trust using the case of health infomediaries shows that the structure of trust changes over time and information quality becomes the single most important antecedent in infomediary trust building in the later stages of use.
Abstract: This study explores the process by which trust evolves over time. There have been a number of studies underscoring the importance of trust in the online environment. However, most trust studies have concentrated on the initial trust, and there is little known about how trust beliefs evolve over time. The dynamics of trust are of particular importance in the use of infomediaries (online information providers), among which health infomediaries are the most important for Web consumers in dealing with their wellness and health issues. We investigate the evolution of trust using the case of health infomediaries. The examination of the temporal changes in trust was carried out through two approaches-comparative statics and dynamic analyses. The research method was laboratory experiment and the data were collected for two episodes of encounters. Two comparative statics models and one dynamic model were estimated in order to examine the parameter changes from one episode of encounter to the next as well as the dynamics of belief changes. The results of analysis show that the structure of trust changes over time and information quality becomes the single most important antecedent in infomediary trust building in the later stages of use. Furthermore, our study also indicates that satisfaction plays an important role in changing Web customers' trust beliefs. Contributions as well as research and managerial implications are discussed.

202 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
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202330
2022194
20211,150
20201,189
20191,085
20181,141