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Institution

University of Missouri

EducationColumbia, Missouri, United States
About: University of Missouri is a education organization based out in Columbia, Missouri, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 41427 authors who have published 83598 publications receiving 2911437 citations. The organization is also known as: Mizzou & Missouri-Columbia.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors examined whether the perceived higher quality of a Big 4 audit is related to auditor litigation exposure or to reputation concerns and found that it is litigation exposure rather than brand name reputation protection that drives perceived audit quality.
Abstract: Prior research suggests that Big 4 auditors provide higher quality audits in the U.S. in order to protect the firm's brand name reputation and to avoid costly litigation. In this study, we examine whether the perceived higher quality of a Big 4 audit is related to auditor litigation exposure or to reputation concerns. Specifically, we utilize an estimable proxy for financial reporting credibility—the ex ante cost of equity capital—to examine whether Big 4 auditors are perceived as providing higher quality audits (relative to non‐Big 4 auditors) in the U.S., and in the less litigious (but economically similar) environments in other Anglo‐American countries during the 1990–99 period. We find that a Big 4 audit is associated with a lower ex ante cost of equity capital for auditees in the U.S. but not in Australia, Canada, or the U.K. Our findings suggest that it is litigation exposure rather than brand name reputation protection that drives perceived audit quality.

770 citations

Journal ArticleDOI
Richard A. Gibbs1, Jeremy F. Taylor2, Curtis P. Van Tassell3, William Barendse4, William Barendse5, Kellye Eversole, Clare A. Gill6, Ronnie D. Green3, Debora L. Hamernik3, Steven M. Kappes3, Sigbjørn Lien7, Lakshmi K. Matukumalli3, Lakshmi K. Matukumalli8, John C. McEwan9, Lynne V. Nazareth1, Robert D. Schnabel2, George M. Weinstock1, David A. Wheeler1, Paolo Ajmone-Marsan10, Paul Boettcher11, Alexandre Rodrigues Caetano12, José Fernando Garcia11, José Fernando Garcia13, Olivier Hanotte14, Paola Mariani15, Loren C. Skow6, Tad S. Sonstegard3, John L. Williams16, John L. Williams15, Boubacar Diallo, Lemecha Hailemariam17, Mário Luiz Martinez12, C. A. Morris9, Luiz Otávio Campos da Silva12, Richard J. Spelman18, Woudyalew Mulatu14, Keyan Zhao19, Colette A. Abbey6, Morris Agaba14, Flábio R. Araújo12, Rowan J. Bunch4, Rowan J. Bunch5, James O. Burton16, C. Gorni15, Hanotte Olivier15, Blair E. Harrison5, Blair E. Harrison4, Bill Luff, Marco Antonio Machado12, Joel Mwakaya14, Graham Plastow20, Warren Sim4, Warren Sim5, Timothy P. L. Smith3, Merle B Thomas4, Merle B Thomas5, Alessio Valentini21, Paul D. Williams4, James E. Womack6, John Woolliams16, Yue Liu1, Xiang Qin1, Kim C. Worley1, Chuan Gao6, Huaiyang Jiang1, Stephen S. Moore20, Yanru Ren1, Xingzhi Song1, Carlos Bustamante19, Ryan D. Hernandez19, Donna M. Muzny1, Shobha Patil1, Anthony San Lucas1, Qing Fu1, Matthew Peter Kent7, Richard Vega1, Aruna Matukumalli3, Sean McWilliam5, Sean McWilliam4, Gert Sclep15, Katarzyna Bryc19, Jung-Woo Choi6, Hong Gao19, John J. Grefenstette8, Brenda M. Murdoch20, Alessandra Stella15, Rafael Villa-Angulo8, Mark G. Wright19, Jan Aerts22, Jan Aerts16, Oliver C. Jann16, Riccardo Negrini10, Michael E. Goddard23, Michael E. Goddard24, Ben J. Hayes24, Daniel G. Bradley25, Marcos V.B. da Silva12, Marcos V.B. da Silva3, Lilian P.L. Lau25, George E. Liu3, David J. Lynn25, David J. Lynn26, Francesca Panzitta15, Ken G. Dodds9 
24 Apr 2009-Science
TL;DR: Data show that cattle have undergone a rapid recent decrease in effective population size from a very large ancestral population, possibly due to bottlenecks associated with domestication, selection, and breed formation.
Abstract: The imprints of domestication and breed development on the genomes of livestock likely differ from those of companion animals. A deep draft sequence assembly of shotgun reads from a single Hereford female and comparative sequences sampled from six additional breeds were used to develop probes to interrogate 37,470 single-nucleotide polymorphisms (SNPs) in 497 cattle from 19 geographically and biologically diverse breeds. These data show that cattle have undergone a rapid recent decrease in effective population size from a very large ancestral population, possibly due to bottlenecks associated with domestication, selection, and breed formation. Domestication and artificial selection appear to have left detectable signatures of selection within the cattle genome, yet the current levels of diversity within breeds are at least as great as exists within humans.

769 citations

Journal ArticleDOI
01 Aug 1994-Spine
TL;DR: This point system can be used preoperatively to predict screw breakage when short segment, posteriorly placed pedicle screw implants are being used and select spinal fractures for anterior reconstruction with strut graft, short-segment-type reconstruction.
Abstract: Study Design.A 3 to 4 year follow-up was performed on a consecutive series of 28 patients who had three-column spinal fractures surgically stabilized by short-segment instrumentation with first generation VSP (Steffee) screws and plates and autograft fusion. The follow-up revealed 10 patients with b

767 citations

Journal ArticleDOI
TL;DR: This paper synthesizes the results, methodology, and research conducted concerning the K-means clustering method over the last fifty years, leading to a unifying treatment of K-Means and some of its extensions.
Abstract: This paper synthesizes the results, methodology, and research conducted concerning the K-means clustering method over the last fifty years. The K-means method is first introduced, various formulations of the minimum variance loss function and alternative loss functions within the same class are outlined, and different methods of choosing the number of clusters and initialization, variable preprocessing, and data reduction schemes are discussed. Theoretic statistical results are provided and various extensions of K-means using different metrics or modifications of the original algorithm are given, leading to a unifying treatment of K-means and some of its extensions. Finally, several future studies are outlined that could enhance the understanding of numerous subtleties affecting the performance of the K-means method.

765 citations

Journal ArticleDOI
15 Mar 2013-Science
TL;DR: A two-gene cluster, hgcA and hgcB, required for mercury methylation by Desulfovibrio desulfuricans ND132 and Geobacter sulfurreducens PCA are reported, consistent with roles as a methyl carrier and an electron donor required for corrinoid cofactor reduction, respectively.
Abstract: Methylmercury is a potent neurotoxin produced in natural environments from inorganic mercury by anaerobic bacteria. However, until now the genes and proteins involved have remained unidentified. Here, we report a two-gene cluster, hgcA and hgcB, required for mercury methylation by Desulfovibrio desulfuricans ND132 and Geobacter sulfurreducens PCA. In either bacterium, deletion of hgcA, hgcB, or both genes abolishes mercury methylation. The genes encode a putative corrinoid protein, HgcA, and a 2[4Fe-4S] ferredoxin, HgcB, consistent with roles as a methyl carrier and an electron donor required for corrinoid cofactor reduction, respectively. Among bacteria and archaea with sequenced genomes, gene orthologs are present in confirmed methylators but absent in nonmethylators, suggesting a common mercury methylation pathway in all methylating bacteria and archaea sequenced to date.

762 citations


Authors

Showing all 41750 results

NameH-indexPapersCitations
Walter C. Willett3342399413322
Meir J. Stampfer2771414283776
Russel J. Reiter1691646121010
Chad A. Mirkin1641078134254
Robert Stone1601756167901
Howard I. Scher151944101737
Rajesh Kumar1494439140830
Joseph T. Hupp14173182647
Lihong V. Wang136111872482
Stephen R. Carpenter131464109624
Jan A. Staessen130113790057
Robert S. Brown130124365822
Mauro Giavalisco12841269967
Kenneth J. Pienta12767164531
Matthew W. Gillman12652955835
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023120
2022532
20213,698
20203,683
20193,339
20183,182