Institution
University at Buffalo
Education•Buffalo, New York, United States•
About: University at Buffalo is a education organization based out in Buffalo, New York, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 33773 authors who have published 63840 publications receiving 2278954 citations. The organization is also known as: UB & State University of New York at Buffalo.
Papers published on a yearly basis
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TL;DR: In this paper, a total of 91 Black, 96 White, and 35 Asian college students completed the Collective Self-Esteem Scale (CSES), as well as measures of psychological well-being (personal self-esteem, life satisfaction, depression, and hopelessness).
Abstract: A total of 91 Black, 96 White, and 35 Asian college students completed the Collective Self-Esteem Scale (CSES), as well as measures of psychological well-being (personal self-esteem, life satisfaction, depression, and hopelessness). Correlations between the Public and Private subscales of the CSES were near zero for Blacks, moderate for Whites, and strong for Asians. The membership and private subscales of the general CSES were related to psychological well-being, even when the effects of personal self-esteem on well-being were partialed out. However, when the three groups were examined separately, the relation of CSE to well-being with personal self-esteem partialed out was nonsignificant for Whites, small for Blacks, and moderate to strong for Asians. General and race-specific CSE were correlated for all three groups, although the correlations were strongest for Asians. Implications for symbolic interactionist views of the self-concept, for formulations of mental health, and for methodological issues co...
747 citations
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TL;DR: In this article, the authors examine the Twitter utilization practices of the 100 largest nonprofit organizations in the United States and find that they are better at using Twitter to strategically engage their stakeholders via dialogic and community-building practices.
Abstract: The rapid diffusion of "microblogging" services such as Twitter is ushering in a new era of possibilities for organizations to communicate with and engage their core stakeholders and the general public. To enhance understanding of the communicative functions microblogging serves for organizations, this study examines the Twitter utilization practices of the 100 largest nonprofit organizations in the United States. The analysis reveals there are three key functions of microblogging updates-"information," "community," and "action." Though the informational use of microblogging is extensive, nonprofit organizations are better at using Twitter to strategically engage their stakeholders via dialogic and community-building practices than they have been with traditional websites. The adoption of social media appears to have engendered new paradigms of public engagement.
Keywords: microblogging; Twitter; social media; stakeholder relations; organizational communication; organization-public relations; nonprofit organizations
745 citations
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TL;DR: The complete state-of-the-art techniques in the face image-based age synthesis and estimation topics are surveyed, including existing models, popular algorithms, system performances, technical difficulties, popular face aging databases, evaluation protocols, and promising future directions are provided.
Abstract: Human age, as an important personal trait, can be directly inferred by distinct patterns emerging from the facial appearance. Derived from rapid advances in computer graphics and machine vision, computer-based age synthesis and estimation via faces have become particularly prevalent topics recently because of their explosively emerging real-world applications, such as forensic art, electronic customer relationship management, security control and surveillance monitoring, biometrics, entertainment, and cosmetology. Age synthesis is defined to rerender a face image aesthetically with natural aging and rejuvenating effects on the individual face. Age estimation is defined to label a face image automatically with the exact age (year) or the age group (year range) of the individual face. Because of their particularity and complexity, both problems are attractive yet challenging to computer-based application system designers. Large efforts from both academia and industry have been devoted in the last a few decades. In this paper, we survey the complete state-of-the-art techniques in the face image-based age synthesis and estimation topics. Existing models, popular algorithms, system performances, technical difficulties, popular face aging databases, evaluation protocols, and promising future directions are also provided with systematic discussions.
743 citations
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Fred Hutchinson Cancer Research Center1, Kaiser Permanente2, University of California, Los Angeles3, University of Pittsburgh4, University of Massachusetts Medical School5, University of Minnesota6, University of Florida7, Harvard University8, University of Miami9, Ohio State University10, Emory University11, University of California, Davis12, National Institutes of Health13, University of Wisconsin-Madison14, University of Alabama at Birmingham15, Stanford University16, University of Arizona17, Northwestern University18, Wake Forest University19, University at Buffalo20, University of Iowa21, Yeshiva University22, Howard University23, Pfizer24, Brown University25, University of Washington26, Rush University Medical Center27, University of Nevada, Reno28, University of Texas at San Antonio29, University of Cincinnati30, Baylor College of Medicine31, University of North Carolina at Chapel Hill32, Wayne State University33, George Washington University34, University of California, Irvine35, University of Tennessee Health Science Center36, Medical College of Wisconsin37, Stony Brook University38, University of California, San Diego39, Rutgers University40
TL;DR: Among postmenopausal women, a low-fat dietary pattern did not result in a statistically significant reduction in invasive breast cancer risk over an 8.1-year average follow-up period, and the nonsignificant trends observed indicate that longer, planned, nonintervention follow- up may yield a more definitive comparison.
Abstract: ContextThe hypothesis that a low-fat dietary pattern can reduce breast cancer risk has existed for decades but has never been tested in a controlled intervention trial.ObjectiveTo assess the effects of undertaking a low-fat dietary pattern on breast cancer incidence.Design and SettingA randomized, controlled, primary prevention trial conducted at 40 US clinical centers from 1993 to 2005.ParticipantsA total of 48 835 postmenopausal women, aged 50 to 79 years, without prior breast cancer, including 18.6% of minority race/ethnicity, were enrolled.InterventionsWomen were randomly assigned to the dietary modification intervention group (40% [n = 19 541]) or the comparison group (60% [n = 29 294]). The intervention was designed to promote dietary change with the goals of reducing intake of total fat to 20% of energy and increasing consumption of vegetables and fruit to at least 5 servings daily and grains to at least 6 servings daily. Comparison group participants were not asked to make dietary changes.Main Outcome MeasureInvasive breast cancer incidence.ResultsDietary fat intake was significantly lower in the dietary modification intervention group compared with the comparison group. The difference between groups in change from baseline for percentage of energy from fat varied from 10.7% at year 1 to 8.1% at year 6. Vegetable and fruit consumption was higher in the intervention group by at least 1 serving per day and a smaller, more transient difference was found for grain consumption. The number of women who developed invasive breast cancer (annualized incidence rate) over the 8.1-year average follow-up period was 655 (0.42%) in the intervention group and 1072 (0.45%) in the comparison group (hazard ratio, 0.91; 95% confidence interval, 0.83-1.01 for the comparison between the 2 groups). Secondary analyses suggest a lower hazard ratio among adherent women, provide greater evidence of risk reduction among women having a high-fat diet at baseline, and suggest a dietary effect that varies by hormone receptor characteristics of the tumor.ConclusionsAmong postmenopausal women, a low-fat dietary pattern did not result in a statistically significant reduction in invasive breast cancer risk over an 8.1-year average follow-up period. However, the nonsignificant trends observed suggesting reduced risk associated with a low-fat dietary pattern indicate that longer, planned, nonintervention follow-up may yield a more definitive comparison.Clinical Trials RegistrationClinicalTrials.gov Identifier: NCT00000611
740 citations
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TL;DR: The authors defines and characterizes the construct domain of political skill and embeds it in a cognition behavior, multilevel, meta-theoretical framework that proposes how political skill operates to exercise effects on both self and others in organizations.
740 citations
Authors
Showing all 34002 results
Name | H-index | Papers | Citations |
---|---|---|---|
Rakesh K. Jain | 200 | 1467 | 177727 |
Julie E. Buring | 186 | 950 | 132967 |
Anil K. Jain | 183 | 1016 | 192151 |
Donald G. Truhlar | 165 | 1518 | 157965 |
Roger A. Nicoll | 165 | 397 | 84121 |
Bruce L. Miller | 163 | 1153 | 115975 |
David R. Holmes | 161 | 1624 | 114187 |
Suvadeep Bose | 154 | 960 | 129071 |
Ashok Kumar | 151 | 5654 | 164086 |
Philip S. Yu | 148 | 1914 | 107374 |
Hugh A. Sampson | 147 | 816 | 76492 |
Aaron Dominguez | 147 | 1968 | 113224 |
Gregory R Snow | 147 | 1704 | 115677 |
J. S. Keller | 144 | 981 | 98249 |
C. Ronald Kahn | 144 | 525 | 79809 |