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Institution

University of Houston

EducationHouston, Texas, United States
About: University of Houston is a education organization based out in Houston, Texas, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 23074 authors who have published 53903 publications receiving 1641968 citations.


Papers
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Journal ArticleDOI
TL;DR: A revised version of a paper prepared for the annual meeting of the Midwest Political Science Association, Chicago, April 1993 is presented in this paper, where the authors would like to thank Susan Scarrow, Robert Rorschneidcr, Michael Gallagher and two anonymous referees for helpful comments, Roland Cayrol.
Abstract: This is a revised version of a paper prepared for the annual meeting of the Midwest Political Science Association, Chicago, April 1993. The authors would like to thank Susan Scarrow, Robert Rorschneidcr, Michael Gallagher and two anonymous referees for helpful comments, Roland Cayrol. Andrew Appleton and Torben Worre for providing opinion poll results, and Donley Studlar for making it all possible.

328 citations

Journal Article
C. Adams1, David H. Adams2, T. Akiri3, T. Alion4  +478 moreInstitutions (66)
TL;DR: The Long-Baseline Neutrino Experiment (LBNE) as mentioned in this paper is an extensively developed plan for a world-class experiment dedicated to addressing the early evolution of our universe, its current state and its eventual fate.
Abstract: The preponderance of matter over antimatter in the early Universe, the dynamics of the supernova bursts that produced the heavy elements necessary for life and whether protons eventually decay --- these mysteries at the forefront of particle physics and astrophysics are key to understanding the early evolution of our Universe, its current state and its eventual fate. The Long-Baseline Neutrino Experiment (LBNE) represents an extensively developed plan for a world-class experiment dedicated to addressing these questions. LBNE is conceived around three central components: (1) a new, high-intensity neutrino source generated from a megawatt-class proton accelerator at Fermi National Accelerator Laboratory, (2) a near neutrino detector just downstream of the source, and (3) a massive liquid argon time-projection chamber deployed as a far detector deep underground at the Sanford Underground Research Facility. This facility, located at the site of the former Homestake Mine in Lead, South Dakota, is approximately 1,300 km from the neutrino source at Fermilab -- a distance (baseline) that delivers optimal sensitivity to neutrino charge-parity symmetry violation and mass ordering effects. This ambitious yet cost-effective design incorporates scalability and flexibility and can accommodate a variety of upgrades and contributions. With its exceptional combination of experimental configuration, technical capabilities, and potential for transformative discoveries, LBNE promises to be a vital facility for the field of particle physics worldwide, providing physicists from around the globe with opportunities to collaborate in a twenty to thirty year program of exciting science. In this document we provide a comprehensive overview of LBNE's scientific objectives, its place in the landscape of neutrino physics worldwide, the technologies it will incorporate and the capabilities it will possess.

328 citations

Journal ArticleDOI
TL;DR: This article provides a tutorial on methods for analyzing longitudinal substance use data, focusing on Poisson, zero-inflated, and hurdle mixed models, which are types of hierarchical or multilevel models.
Abstract: Critical research questions in the study of addictive behaviors concern how these behaviors change over time: either as the result of intervention or in naturalistic settings. The combination of count outcomes that are often strongly skewed with many zeroes (e.g., days using, number of total drinks, number of drinking consequences) with repeated assessments (e.g., longitudinal follow-up after intervention or daily diary data) present challenges for data analyses. The current article provides a tutorial on methods for analyzing longitudinal substance use data, focusing on Poisson, zero-inflated, and hurdle mixed models, which are types of hierarchical or multilevel models. Two example datasets are used throughout, focusing on drinking-related consequences following an intervention and daily drinking over the past 30 days, respectively. Both datasets as well as R, SAS, Mplus, Stata, and SPSS code showing how to fit the models are available on a supplemental website.

328 citations

Journal ArticleDOI
TL;DR: An overview of the epidemiology, clinical manifestations, diagnosis of, treatment of, and prognosis for unusual Mucormycetes infections (non-Rhizopus, -Mucor, and -Lichtheimia species) is provided.
Abstract: Rhizopus, Mucor, and Lichtheimia (formerly Absidia) species are the most common members of the order Mucorales that cause mucormycosis, accounting for 70 to 80% of all cases. In contrast, Cunninghamella, Apophysomyces, Saksenaea, Rhizomucor, Cokeromyces, Actinomucor, and Syncephalastrum species individually are responsible for fewer than 1 to 5% of reported cases of mucormycosis. In this review, we provide an overview of the epidemiology, clinical manifestations, diagnosis of, treatment of, and prognosis for unusual Mucormycetes infections (non-Rhizopus, -Mucor, and -Lichtheimia species). The infections caused by these less frequent members of the order Mucorales frequently differ in their epidemiology, geographic distribution, and disease manifestations. Cunninghamella bertholletiae and Rhizomucor pusillus affect primarily immunocompromised hosts, mostly resulting from spore inhalation, causing pulmonary and disseminated infections with high mortality rates. R. pusillus infections are nosocomial or health care related in a large proportion of cases. While Apophysomyces elegans and Saksenaea vasiformis are occasionally responsible for infections in immunocompromised individuals, most cases are encountered in immunocompetent individuals as a result of trauma, leading to soft tissue infections with relatively low mortality rates. Increased knowledge of the epidemiology and clinical presentations of these unusual Mucormycetes infections may improve early diagnosis and treatment.

328 citations

Posted Content
TL;DR: In this paper, the authors provide evidence on how investor valuation of derivative financial instruments differs depending upon whether the fair value of these instruments is recognized or disclosed, and they suggest that SFAS No. 133 has increased the transparency of derivatives financial instruments.
Abstract: We provide evidence on how investor valuation of derivative financial instruments differs depending upon whether the fair value of these instruments is recognized or disclosed. Expanded disclosures and accounting practices prior to SFAS No. 133 and mandatory recognition of derivative fair values after SFAS No. 133 provide a natural setting for comparing the valuation implications of recognized and disclosed derivative fair value information. This unique setting mitigates many of the research design problems with recognition versus disclosure studies. Using a sample of banks that simultaneously hold recognized and disclosed derivatives prior to SFAS No. 133, we find that the valuation coefficients on recognized derivatives are significant whereas the valuation coefficients on disclosed derivatives are not significant. Further, using a sample of banks that have only disclosed derivatives prior to SFAS No. 133 which are recognized after SFAS No.133, we find that while the valuation coefficients on disclosed derivatives are not significant, the valuation coefficients on recognized derivatives are significant. These results are consistent with the view that recognition and disclosure are not substitutes. Our findings suggest that SFAS No. 133 has increased the transparency of derivative financial instruments.

328 citations


Authors

Showing all 23345 results

NameH-indexPapersCitations
Matthew Meyerson194553243726
Gad Getz189520247560
Eric Boerwinkle1831321170971
Pulickel M. Ajayan1761223136241
Zhenan Bao169865106571
Marc Weber1672716153502
Steven N. Blair165879132929
Martin Karplus163831138492
Dongyuan Zhao160872106451
Xiang Zhang1541733117576
Jan-Åke Gustafsson147105898804
James M. Tour14385991364
Guanrong Chen141165292218
Naomi J. Halas14043582040
Antonios G. Mikos13869470204
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023111
2022440
20213,031
20203,072
20192,806
20182,568