scispace - formally typeset
Search or ask a question
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
More filters
Journal ArticleDOI
TL;DR: In this article, the authors add transaction cost variables to a set of variables previously used to predict firm mode choice and performance and find that firms selecting these "transaction cost-enhanced international entry modes" perform better than firms using other modes of entry.
Abstract: According to transaction cost theory, firms select the international mode of entry that provides the most efficient form of governance. However, previous scholarship largely neglects the impact of transaction cost variables on entry mode choice and firm performance. In this study, we add transaction cost variables to a set of variables previously used to predict firm mode choice and performance. We theorize and find that firms selecting these ‘transaction cost-enhanced international entry modes’ perform better than firms using other modes of entry. Based on our results, we conclude that ‘enhanced’ transaction cost theory appears to be normative as well as descriptive with respect to international entry mode decisions. Copyright © 2003 John Wiley & Sons, Ltd.

343 citations

Journal ArticleDOI
TL;DR: In this article, a leaky-wave analysis is used to explain the narrow-beam resonance gain phenomenon in which narrow beams may be produced from a printed antenna element in a substrate-superstrate geometry.
Abstract: A leaky-wave analysis is used to explain the narrow-beam resonance-gain phenomenon in which narrow beams may be produced from a printed antenna element in a substrate-superstrate geometry. It is demonstrated that the phenomenon is attributable to the presence of both transverse electric and transverse magnetic-mode leaky waves, that are excited on the structure. Asymptotic formulas for the leaky wave are compared with the exact patterns to demonstrate the dominant role of the leaky waves in determining the pattern. Results are presented as a function of frequency, the scan angle, and the permittivity of the superstrate. >

343 citations

Journal ArticleDOI
TL;DR: T2MR is the first fully automated technology that directly analyzes whole blood specimens to identify species without the need for prior isolation of Candida species, and represents a breakthrough shift into a new era of molecular diagnostics.
Abstract: BACKGROUND Microbiologic cultures, the current gold standard diagnostic method for invasive Candida infections, have low specificity and take up to 2-5 days to grow. We present the results of the first extensive multicenter clinical trial of a new nanodiagnostic approach, T2 magnetic resonance (T2MR), for diagnosis of candidemia. METHODS Blood specimens were collected from 1801 hospitalized patients who had a blood culture ordered for routine standard of care; 250 of them were manually supplemented with concentrations from <1 to 100 colony-forming units (CFUs)/mL for 5 different Candida species. RESULTS T2MR demonstrated an overall specificity per assay of 99.4% (95% confidence interval [CI], 99.1%-99.6%) with a mean time to negative result of 4.2 ± 0.9 hours. Subanalysis yielded a specificity of 98.9% (95% CI, 98.3%-99.4%) for Candida albicans/Candida tropicalis, 99.3% (95% CI, 98.7%-99.6%) for Candida parapsilosis, and 99.9% (95% CI, 99.7%-100.0%) for Candida krusei/Candida glabrata. The overall sensitivity was found to be 91.1% (95% CI, 86.9%-94.2%) with a mean time of 4.4 ± 1.0 hours for detection and species identification. The subgroup analysis showed a sensitivity of 92.3% (95% CI, 85.4%-96.6%) for C. albicans/C. tropicalis, 94.2% (95% CI, 84.1%-98.8%) for C. parapsilosis, and 88.1% (95% CI, 80.2%-93.7%) for C. krusei/C. glabrata. The limit of detection was 1 CFU/mL for C. tropicalis and C. krusei, 2 CFU/mL for C. albicans and C. glabrata, and 3 CFU/mL for C. parapsilosis. The negative predictive value was estimated to range from 99.5% to 99.0% in a study population with 5% and 10% prevalence of candidemia, respectively. CONCLUSIONS T2MR is the first fully automated technology that directly analyzes whole blood specimens to identify species without the need for prior isolation of Candida species, and represents a breakthrough shift into a new era of molecular diagnostics. CLINICAL TRIALS REGISTRATION NCT01752166.

343 citations

Journal ArticleDOI
TL;DR: In a series of laboratory experiments, this paper tested the influence of displaying positive, negative, and neutral emotions on negotiation outcomes and found that negotiators who displayed positive emotion, in contrast to negative or neutral emotions, were more likely to incorporate a future business relationship in the negotiated contract.

343 citations

Journal ArticleDOI
TL;DR: In intact eyes, lens-induced relative peripheral hyperopia produced central axial myopia and eliminating the fovea by laser photoablation did not prevent compensating myopic changes in response to optically imposed hyperopia.

342 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
Network Information
Related Institutions (5)
University of Texas at Austin
206.2K papers, 9M citations

95% related

University of Southern California
169.9K papers, 7.8M citations

94% related

Texas A&M University
164.3K papers, 5.7M citations

93% related

Pennsylvania State University
196.8K papers, 8.3M citations

93% related

University of California, Irvine
113.6K papers, 5.5M citations

92% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023111
2022440
20213,031
20203,072
20192,806
20182,568