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Institution

University of Nebraska–Lincoln

EducationLincoln, Nebraska, United States
About: University of Nebraska–Lincoln is a education organization based out in Lincoln, Nebraska, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 28059 authors who have published 61544 publications receiving 2139104 citations. The organization is also known as: Nebraska & UNL.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the diphoton decay mode of the recently discovered Higgs boson and measurement of some of its properties are reported using the entire dataset collected by the CMS experiment in proton-proton collisions during the 2011 and 2012 LHC running periods.
Abstract: Observation of the diphoton decay mode of the recently discovered Higgs boson and measurement of some of its properties are reported. The analysis uses the entire dataset collected by the CMS experiment in proton-proton collisions during the 2011 and 2012 LHC running periods. The data samples correspond to integrated luminosities of 5.1 inverse femtobarns at sqrt(s) = 7 TeV and 19.7 inverse femtobarns at 8 TeV. A clear signal is observed in the diphoton channel at a mass close to 125 GeV with a local significance of 5.7 sigma, where a significance of 5.2 sigma is expected for the standard model Higgs boson. The mass is measured to be 124.70 +/- 0.34 GeV = 124.70 +/- 0.31 (stat) +/- 0.15 (syst) GeV, and the best-fit signal strength relative to the standard model prediction is 1.14 +0.26/-0.23 = 1.14 +/- 0.21 (stat) +0.09/-0.05 (syst) +0.13/-0.09 (theo). Additional measurements include the signal strength modifiers associated with different production mechanisms, and hypothesis tests between spin-0 and spin-2 models.

486 citations

Journal ArticleDOI
TL;DR: In this article, the authors show that stock prices are more accurate when short sellers are more active, and that short sellers change their trading around extreme return events in a way that aids price discovery and reduces divergence from fundamental values.
Abstract: We show that stock prices are more accurate when short sellers are more active. First, in a large panel of NYSE-listed stocks, intraday informational efficiency of prices improves with greater shorting flow. Second, at monthly and annual horizons, more shorting flow accelerates the incorporation of public information into prices. Third, greater shorting flow reduces post-earnings announcement drift for negative earnings surprises. Fourth, short sellers change their trading around extreme return events in a way that aids price discovery and reduces divergence from fundamental values. These results are robust to various econometric specifications and their magnitude is economically meaningful.

485 citations

Journal ArticleDOI
TL;DR: A simplified and optimized version of ChIP assay is described by reducing the number of experimental steps and isolation solutions and shortening preparation times and is easy to adapt for other systems as well.
Abstract: Chromatin immunoprecipitation (ChIP) is a powerful tool for the characterization of covalent histone modifications and DNA-histone interactions in vivo. The procedure includes DNA-histone cross-linking in chromatin, shearing DNA into smaller fragments, immunoprecipitation with antibodies against the histone modifications of interest, followed by PCR identification of associated DNA sequences. In this protocol, we describe a simplified and optimized version of ChIP assay by reducing the number of experimental steps and isolation solutions and shortening preparation times. We include a nuclear isolation step before chromatin shearing, which provides a good yield of high-quality DNA resulting in at least 15 mug of DNA from each immunoprecipitated sample (from 0.2 to 0.4 g of starting tissue material) sufficient to test > or =25 genes of interest. This simpler and cost-efficient protocol has been applied for histone-modification studies of various Arabidopsis thaliana tissues and is easy to adapt for other systems as well.

485 citations

Journal ArticleDOI
TL;DR: In this paper, an integrated theoretical model relating CEO transformational leadership (TL), human-enhancing human resource management (HRM), and organizational outcomes, including subjective assessment of organizational performance, absenteeism, and average sales, is presented.
Abstract: Using a field survey and company data of 170 firms in Singapore, we tested an integrated theoretical model relating CEO transformational leadership (TL), human–capital-enhancing human resource management (HRM), and organizational outcomes, including subjective assessment of organizational performance, absenteeism, and average sales. We found that human–capital-enhancing HRM fully mediates the relationship between CEO transformational leadership and subjective assessment of organizational outcomes and partially mediates the relationship between CEO transformational leadership and absenteeism. We discuss practical and theoretical implications.

485 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigate whether audit quality is associated with the predictability of accounting earnings by focusing on analyst earnings forecast properties and find that audit quality relates positively to unobservable financial reporting reliability.
Abstract: Under the assumption that audit quality relates positively to unobservable financial reporting reliability, we investigate whether audit quality is associated with the predictability of accounting earnings by focusing on analyst earnings forecast properties. The evidence shows that analysts' earnings forecast accuracy is higher and the forecast dispersion is smaller for firms audited by a Big Five auditor. We further find that auditor industry specialization is associated with higher forecast accuracy and less forecast dispersion in the non-Big Five auditor sample but not in the Big Five auditor sample. Overall, our results suggest that high quality audit provided by Big Five auditors and industry specialist non-Big Five auditors is associated with better forecasting performance by analysts.

484 citations


Authors

Showing all 28272 results

NameH-indexPapersCitations
Donald P. Schneider2421622263641
Suvadeep Bose154960129071
David D'Enterria1501592116210
Aaron Dominguez1471968113224
Gregory R Snow1471704115677
J. S. Keller14498198249
Andrew Askew140149699635
Mitchell Wayne1391810108776
Kenneth Bloom1381958110129
P. de Barbaro1371657102360
Randy Ruchti1371832107846
Ia Iashvili135167699461
Yuichi Kubota133169598570
Ilya Kravchenko132136693639
Andrea Perrotta131138085669
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202393
2022381
20212,809
20202,977
20192,846
20182,854