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Institution

University of Oklahoma

EducationNorman, Oklahoma, United States
About: University of Oklahoma is a education organization based out in Norman, Oklahoma, United States. It is known for research contribution in the topics: Population & Radar. The organization has 25269 authors who have published 52609 publications receiving 1821706 citations. The organization is also known as: OU & Oklahoma University.


Papers
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Journal ArticleDOI
TL;DR: A meta-analysis of 54 cases testing the effectiveness of inoculation theory at conferring resistance and examining the mechanisms of the theory was conducted by as discussed by the authors, which revealed that inoculation messages to be superior to both supportive messages and no-treatment controls.
Abstract: A meta-analysis of 54 cases testing the effectiveness of inoculation theory at conferring resistance and examining the mechanisms of the theory was conducted. The analyses revealed inoculation messages to be superior to both supportive messages and no-treatment controls at conferring resistance. Additionally, the results revealed refutational same and refutational different preemptions to be equally effective at reducing attitude change. However, the data were not consistent with some predictions made in narrative reviews of inoculation. No significant increase in resistance as a function of threat or involvement was found. Further, instead of a curvilinear effect for delay on resistance, the point estimates from our meta-analysis revealed equivalent resistance between immediate and moderate delays between inoculation and attack, with a decay in resistance after two weeks.

270 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigated WUE at leaf, canopy, and ecosystem levels under increased precipitation and warming from 2005 to 2008 in a temperate steppe in Northern China, and found that increased precipitation stimulated WUEc, WUEgep and WUEnee by 17.1%, 10.2% and 12.6%, respectively, but decreased WUEl by 27.4%.
Abstract: Water-use efficiency (WUE) has been recognized as an important characteristic of ecosystem productivity, which links carbon (C) and water cycling. However, little is known about how WUE responds to climate change at different scales. Here, we investigated WUE at leaf, canopy, and ecosystem levels under increased precipitation and warming from 2005 to 2008 in a temperate steppe in Northern China. We measured gross ecosystem productivity (GEP), net ecosystem CO2 exchange (NEE), evapotranspiration (ET), evaporation (E), canopy transpiration (Tc), as well as leaf photosynthesis (Pmax) and transpiration (Tl) of a dominant species to calculate canopy WUE (WUEc 5GEP/T), ecosystem WUE (WUEgep 5GEP/ET or WUEnee 5NEE/ET) and leaf WUE (WUEl 5Pmax/Tl). The results showed that increased precipitation stimulated WUEc, WUEgep and WUEnee by 17.1%, 10.2% and 12.6%, respectively, but decreased WUEl by 27.4%. Climate warming reduced canopy and ecosystem WUE over the 4 years but did not affect leaf level WUE. Across the 4 years and the measured plots, canopy and ecosystem WUE linearly increased, but leaf level WUE of the dominant species linearly decreased with increasing precipitation. The differential responses of canopy/ecosystem WUE and leaf WUE to climate change suggest that caution should be taken when upscaling WUE from leaf to larger scales. Our findings will also facilitate mechanistic understanding of the C‐water relationships across different organism levels and in projecting the effects of climate warming and shifting precipitation regimes on productivity in arid and semiarid ecosystems.

270 citations

Journal ArticleDOI
TL;DR: In this article, the Smagorinsky subgrid model has been revised to account for grid anisotropy on the basis of energy equilibrium considerations in isotropic turbulence, and Deardorff's (1970) estimate involving an equivalent grid scale Delta(eq) = (Delta1 Delta2 Delta3) exp 1/3 is given a rigorous basis.
Abstract: The paper revises the Smagorinsky subgrid model to properly account for grid anisotropy on the basis of energy equilibrium considerations in isotropic turbulence. For moderate resolution anisotropies, Deardorff's (1970) estimate involving an equivalent grid scale Delta(eq) = (Delta1 Delta2 Delta3) exp 1/3 is given a rigorous basis. It is argued that the results obtained should be used in conjunction with the dynamic model of Germano et al. (1991) whenever the anisotropy of the test filter differs significantly from that of the basic grid.

270 citations

Journal ArticleDOI
TL;DR: Large numbers of ductal cells can be collected by ductal lavage to detect atypical cellular changes within the breast and is a more sensitive method of detecting cellular atypia than nipple aspiration, which is a safe and well-tolerated procedure.
Abstract: Background: Breast cancer originates in breast epithelium and is associated with progressive molecular and morphologic changes. Women with atypical breast ductal epithelial cells have an increased relative risk of breast cancer. In this study, ductal lavage, a new procedure for collecting ductal cells with a microcatheter, was compared with nipple aspiration with regard to safety, tolerability, and the ability to detect abnormal breast epithelial cells. Methods: Women at high risk for breast cancer who had nonsuspicious mammograms and clinical breast examinations underwent nipple aspiration followed by lavage of fluid-yielding ducts. All statistical tests were two-sided. Results: The 507 women enrolled included 291 (57%) with a history of breast cancer and 199 (39%) with a 5-year Gail risk for breast cancer of 1.7% or more. Nipple aspirate fluid (NAF) samples were evaluated cytologically for 417 women, and ductal lavage samples were evaluated for 383 women. Adequate samples for diagnosis were collected from 111 (27%) and 299 (78%) women, respectively. A median of 13500 epithelial cells per duct (range, 43-492 000 cells) was collected by ductal lavage compared with a median of 120 epithelial cells per breast (range, 10-74300) collected by nipple aspiration. For ductal lavage, 92 (24%) subjects had abnormal cells that were mildly (17%) or markedly (6%) atypical or malignant (<1%). For NAF, corresponding percentages were 6%, 3%, and fewer than 1 %. Ductal lavage detected abnormal intraductal breast cells 3.2 times more often than nipple aspiration (79 versus 25 breasts; McNemar's test, P<.001). No serious procedure-related adverse events were reported. Conclusions: Large numbers of ductal cells can be collected by ductal lavage to detect atypical cellular changes within the breast. Ductal lavage is a safe and well-tolerated procedure and is a more sensitive method of detecting cellular atypia than nipple aspiration.

270 citations

Journal ArticleDOI
TL;DR: In this paper, the authors assumed that people's preferences for their initials reflect an implicit form of self-esteem that buffers them against challenges to their self-worth, and they proposed that high selfesteem persons who demonstrated weak initials-preferences would be particularly likely to engage in compensatory self-enhancement activities.
Abstract: Consistent with recent research on initials-preferences, we assumed that people's preferences for their initials reflect an implicit form of self-esteem that buffers them against challenges to their self-worth. Accordingly, we proposed that high self-esteem persons who demonstrated weak initials-preferences would be particularly likely to engage in compensatory self-enhancement activities. Results of two studies revealed converging support for this prediction: Among people high in explicit self-esteem, those with weaker initials-preferences displayed more unrealistic optimism, stronger preferences for an excessively positive personality profile, and smaller actual-ideal self-discrepancies. Findings are discussed in terms of the distinction between secure high self-esteem—which is generally linked with psychological health—and fragile high self-esteem—which is generally associated with personal and interpersonal difficulties.

269 citations


Authors

Showing all 25490 results

NameH-indexPapersCitations
Ronald C. Kessler2741332328983
Michael A. Strauss1851688208506
Derek R. Lovley16858295315
Ashok Kumar1515654164086
Peter J. Schwartz147647107695
Peter Buchholz143118192101
Robert Hirosky1391697106626
Elizabeth Barrett-Connor13879373241
Brad Abbott137156698604
Lihong V. Wang136111872482
Itsuo Nakano135153997905
Phillip Gutierrez133139196205
P. Skubic133157397343
Elizaveta Shabalina133142192273
Richard Brenner133110887426
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202392
2022348
20212,425
20202,481
20192,433
20182,396