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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: There appears to be a mechanism, likely subcortical, predisposing newborns to look toward faces, and changes in preferences at 6 and 12 weeks of age suggest increasing cortical influence over infants' preferences for faces.
Abstract: Previous studies of face perception during early infancy are difficult to interpret because of discrepant results and procedural differences. We used a standardized method based on the Teller acuity card procedure to test newborns, 6-week-olds, and 12-week-olds with three pairs of face and nonface stimuli modified from previous studies. Newborns' preferences were influenced both by the visibility of the stimuli and by their resemblance to a human face. There appears to be a mechanism, likely subcortical, predisposing newborns to look toward faces. Changes in preferences at 6 and 12 weeks of age suggest increasing cortical influence over infants' preferences for faces.

337 citations

Journal ArticleDOI
TL;DR: Insight is provided into how plasmids are structured, and thus evolve, to encode the catabolism of compounds recently added to the biosphere by revealing the complete structure of a catabolic plasmid and showing that the atrazine catabolic genes are dispersed on three disparate regions of the plasmID.
Abstract: The complete 108,845-nucleotide sequence of catabolic plasmid pADP-1 from Pseudomonas sp. strain ADP was determined. Plasmid pADP-1 was previously shown to encode AtzA, AtzB, and AtzC, which catalyze the sequential hydrolytic removal of s-triazine ring substituents from the herbicide atrazine to yield cyanuric acid. Computational analyses indicated that pADP-1 encodes 104 putative open reading frames (ORFs), which are predicted to function in catabolism, transposition, and plasmid maintenance, transfer, and replication. Regions encoding transfer and replication functions of pADP-1 had 80 to 100% amino acid sequence identity to pR751, an IncPβ plasmid previously isolated from Enterobacter aerogenes. pADP-1 was shown to contain a functional mercury resistance operon with 99% identity to Tn5053. Complete copies of transposases with 99% amino acid sequence identity to TnpA from IS1071 and TnpA from Pseudomonas pseudoalcaligenes were identified and flank each of the atzA, atzB, and atzC genes, forming structures resembling nested catabolic transposons. Functional analyses identified three new catabolic genes, atzD, atzE, and atzF, which participate in atrazine catabolism. Crude extracts from Escherichia coli expressing AtzD hydrolyzed cyanuric acid to biuret. AtzD showed 58% amino acid sequence identity to TrzD, a cyanuric acid amidohydrolase, from Pseudomonas sp. strain NRRLB-12227. Two other genes encoding the further catabolism of cyanuric acid, atzE and atzF, reside in a contiguous cluster adjacent to a potential LysR-type transcriptional regulator. E. coli strains bearing atzE and atzF were shown to encode a biuret hydrolase and allophanate hydrolase, respectively. atzDEF are cotranscribed. AtzE and AtzF are members of a common amidase protein family. These data reveal the complete structure of a catabolic plasmid and show that the atrazine catabolic genes are dispersed on three disparate regions of the plasmid. These results begin to provide insight into how plasmids are structured, and thus evolve, to encode the catabolism of compounds recently added to the biosphere.

336 citations

Journal ArticleDOI
TL;DR: Both lysozyme and nisin were used in combination with EDTA in films and were evaluated for inhibition against Escherichia coli and the addition of EDTA increased the inhibitory effect of films against E. coli.

335 citations

Journal ArticleDOI
TL;DR: In this paper, the authors developed a research framework that integrates the technology acceptance model (TAM) and self-determination theory to understand how tourists use a 3D virtual world, and applied the TAM model to a virtual tourism site.
Abstract: The proliferation of the Internet and other technological innovations has transformed the structure of the tourism industry as well as affected how tourism destinations are perceived and consumed. The 3D virtual world provides opportunities for destination marketing organizations to communicate with targeted markets by offering a rich environment for potential visitors to explore tourism destinations. However, as of yet, there is little understanding about how to effectively market tourism destinations to virtual world participants who are technology users as well as potential consumers. The purpose of the present study is to develop a research framework that integrates the technology acceptance model (TAM) and self-determination theory to understand how tourists use a 3D virtual world. Primary data were obtained for this study through self-administered Web questionnaires. The data were conducted in a laboratory setting with 186 participants. This study contributes to the empirical TAM literature by applying the model to a 3D virtual tourism site. Additionally, this study provides a research framework to capture the entertainment nature of a 3D virtual world by extending the TAM to incorporate psychological elements of self-determination theory to understand consumer experience. From the perspective of tourism professionals, this study contributes to an understanding of how best to construct informative and interactive tourist destinations in 3D virtual worlds to attract potential online and real-world tourists. Copyright © 2015 John Wiley & Sons, Ltd.

334 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