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Institution

Clemson University

EducationClemson, South Carolina, United States
About: Clemson University is a education organization based out in Clemson, South Carolina, United States. It is known for research contribution in the topics: Population & Control theory. The organization has 20556 authors who have published 42518 publications receiving 1170779 citations. The organization is also known as: Clemson Agricultural College of South Carolina.


Papers
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Journal ArticleDOI
TL;DR: In this paper, a model has been developed to forecast the thermal runaway conditions and the predictions are in excellent agreement with the observed onset flash temperatures, attesting that the flash starts as a thermal runaway in at least these ZnO based systems.

203 citations

Journal ArticleDOI
TL;DR: A comparison of sportscasting on ESPN and CNN and sports reporting in The New York Times and USA Today revealed the very high degree of embedded favoritism toward men's sports and men athletes as mentioned in this paper.
Abstract: Comparison of the sportscasting on ESPN and CNN and sports reporting in The New York Times and USA Today revealed the very high degree of embedded favoritism toward men’s sports and men athletes, e...

203 citations

Journal ArticleDOI
TL;DR: Few-layer graphene materials or "carbon nanosheets" were covalently functionalized with poly(vinyl alcohol) via ester linkages, and the resulting functionalized sample became soluble, allowing solution-phase processing for various purposes such as the fabrication of polymer-carbon nanOSheets composites containing no dispersion agents or any other foreign substances.

203 citations

Journal ArticleDOI
TL;DR: In this article, the authors refine and extend the study of entrepreneurial dispositions by linking three classic hallmarks of the entrepreneur (achievement motivation, risk-taking propensity, and preference for innovation) to the goal orientations of United States and Russian entrepreneurs.
Abstract: We refine and extend the study of entrepreneurial dispositions by linking three classic hallmarks of the entrepreneur—achievement motivation, risk–taking propensity, and preference for innovation—to the goal orientations of United States and Russian entrepreneurs. The results suggest that entrepreneurial dispositions vary according to culture and the entrepreneur's primary goal for the venture. The results have important implications for theoretical development linking dispositions and entrepreneurial behavior in different settings and for entrepreneurial education and government policy.

202 citations

Journal ArticleDOI
TL;DR: The findings in this paper provide a useful guidance to the ongoing explorations for a methodology to predict radio performance at any location within a given factory floor plan and to online assess the time-variant link qualities.
Abstract: Wireless sensors have started being utilized for process monitoring in factory environments, which are typically harsh for low-power wireless communication due to their complicated layout and plentiful stationary/moving obstacles. Sensor radios available so far have been engineered for consumer-grade applications, featuring low cost, low power, and minimal radio complexity. In order to utilize such radios for factory applications, their channel characteristics and link quality must be investigated for optimal design and reliability assessment. In this paper, a series of measurements were made with IEEE 802.15.4-compliant sensor radios to study both their spatial and temporal characteristics with respect to the factory surroundings found in a university machine shop. Critical communication properties were investigated in terms of received signal strength, link quality indication, and packet error rate. It is found that received signal strength shows dependency on surrounding structures, radio link qualities with respect to received signal strength and link quality indication are stable before a grey zone is reached, and average link quality indicator serves as a better packet success rate indication than average received signal strength indication. The findings in this paper provide a useful guidance to the ongoing explorations for a methodology to predict radio performance at any location within a given factory floor plan and to online assess the time-variant link qualities.

202 citations


Authors

Showing all 20718 results

NameH-indexPapersCitations
Yury Gogotsi171956144520
Philip S. Yu1481914107374
Aaron Dominguez1471968113224
Danny Miller13351271238
Marco Ajello13153558714
David C. Montefiori12992070049
Frank L. Lewis114104560497
Jianqing Fan10448858039
Wei Chen103143844994
Ken A. Dill9940141289
Gerald Schubert9861434505
Rod A. Wing9833347696
Feng Chen95213853881
Jimin George9433162684
François Diederich9384346906
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202363
2022253
20212,407
20202,362
20192,080
20181,978