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Institution

University of Tennessee

EducationKnoxville, Tennessee, United States
About: University of Tennessee is a education organization based out in Knoxville, Tennessee, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 41976 authors who have published 87043 publications receiving 2828517 citations. The organization is also known as: UTK & UT Knoxville.


Papers
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Journal ArticleDOI
TL;DR: The STSS fills a need for reliable and valid instruments specifically designed to measure the negative effects of social work practice with traumatized populations and may be used to undertake empirical investigation into the prevention and amelioration of secondary traumatic stress among social work practitioners.
Abstract: Objective: To describe the development and validation of the Secondary Traumatic Stress Scale (STSS), a 17-item instrument designed to measure intrusion, avoidance, and arousal symptoms associated with indirect exposure to traumatic events via one’s professional relationships with traumatized clients. Method: A sample of 287 licensed social workers completed a mailed survey containing the STSS and other relevant survey items. Results: Evidence was found for reliability, convergent and discriminant validity, and factorial validity. Conclusions: The STSS fills a need for reliable and valid instruments specifically designed to measure the negative effects of social work practice with traumatized populations. The instrument may be used to undertake empirical investigation into the prevention and amelioration of secondary traumatic stress among social work practitioners.

619 citations

Journal ArticleDOI
TL;DR: An introduction to the impact of click chemistry and other bioorthogonal reactions on the study of biological systems is presented and includes discussion of the philosophy behind click chemistry, the details and benefits of bioorthogsonal reactions that have been developed, and examples of recent innovative approaches that have effectively exploited these transformations.
Abstract: In recent years, a number of bioorthogonal reactions have been developed, exemplified by click chemistry, that enable the efficient formation of a specific product, even within a highly complex chemical environment. While the exquisite selectivity and reliability of these transformations have led to their broad application in diverse research areas, they have proven to be particularly beneficial to biological studies. In this regard, the ability to rationally incorporate reactive tags onto a biomolecular target and subsequently achieve high selectivity in tag derivatization within a complex biological sample has revolutionized the toolbox that is available for addressing fundamental issues. Herein, an introduction to the impact of click chemistry and other bioorthogonal reactions on the study of biological systems is presented. This includes discussion of the philosophy behind click chemistry, the details and benefits of bioorthogonal reactions that have been developed, and examples of recent innovative approaches that have effectively exploited these transformations to study cellular processes. For the latter, the impacts of bioorthogonal reactions on drug design (i.e., in situ combinatorial drug design), biomolecule labeling and detection (site-specific derivatization of proteins, viruses, sugars, DNA, RNA, and lipids), and the recent strategy of activity-based protein profiling are highlighted.

617 citations

Journal ArticleDOI
TL;DR: In this article, the controversy over using college students as subjects in applied research has been a topic of philosophical discourse and empirical investigation, and thirty-two studies are reviewed in which students and nonstudents participated as subjects under identical conditions.
Abstract: The controversy over using college students as subjects in applied research has been a topic of philosophical discourse and empirical investigation. Thirty-two studies are reviewed in which students and nonstudents participated as subjects under identical conditions. In studies reporting statistical tests of between-group differences, the preponderance of findings indicated that the experimental results differed in the two samples. By contrast, no major differences associated with the type of subject were reported in the majority of studies which did not employ statistical procedures to compare the findings in the two samples. Explanations for differences in the sample are offered, and serve as a basis for recommendations for future research.

617 citations

Book
01 Jan 1979
TL;DR: A systematic introduction to the concepts and techniques of computer image processing and recognition is presented in this paper, where the authors give an overview of such topics as image formation and perception; computer representation of images; image enhancement and restoration; reconstruction from projections; digital television, encoding, and data compression; scene understanding; scene matching and recognition; and processing techniques for linear systems.
Abstract: A systematic introduction to the concepts and techniques of computer image processing and recognition is presented. Consideration is given to such topics as image formation and perception; computer representation of images; image enhancement and restoration; reconstruction from projections; digital television, encoding, and data compression; scene understanding; scene matching and recognition; and processing techniques for linear systems.

617 citations

Journal ArticleDOI
TL;DR: In this article, an Al 0.5 CoCrCuFeNi high entropy alloy (HEA) was used to study the fatigue behavior of the Alloy and a Weibull mixture predictive model was applied to predict the fatigue data and characterize the variability seen in the HEAs.

616 citations


Authors

Showing all 42211 results

NameH-indexPapersCitations
Zhong Lin Wang2452529259003
David Miller2032573204840
Bradley Cox1692150156200
Alexander S. Szalay166936145745
J. E. Brau1621949157675
Robert Stone1601756167901
Robert G. Webster15884390776
Zhenwei Yang150956109344
Sevil Salur1471470106407
Ching-Hon Pui14580572146
Tim Adye1431898109010
Teruki Kamon1422034115633
Nicholas A. Peppas14182590533
Krzysztof Piotrzkowski141126999607
Yuri Gershtein1391558104279
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
202391
2022476
20214,532
20204,674
20194,316