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Institution

University of North Carolina at Greensboro

EducationGreensboro, North Carolina, United States
About: University of North Carolina at Greensboro is a education organization based out in Greensboro, North Carolina, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 5481 authors who have published 13715 publications receiving 456239 citations. The organization is also known as: UNCG & UNC Greensboro.


Papers
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Journal ArticleDOI
TL;DR: A computational formalization of the HCSM is described, behavioral and computational research consistent with the model is reviewed, and directions for future research on the development of executive function are suggested.
Abstract: The hierarchical competing systems model (HCSM) provides a framework for understanding the emergence and early development of executive function – the cognitive processes underlying the conscious control of behavior – in the context of search for hidden objects. According to this model, behavior is determined by the joint influence of a developmentally invariant habit system and a conscious representational system that becomes increasingly influential as children develop. This article describes a computational formalization of the HCSM, reviews behavioral and computational research consistent with the model, and suggests directions for future research on the development of executive function.

240 citations

Journal ArticleDOI
TL;DR: A real-time PCR-based assay is developed that permits rapid and specific identification of Pfiesteria complex species in culture and heterogeneous environmental water samples and will be useful for many other applications, including adaptation for field-based technology.
Abstract: Pfiesteria complex species are heterotrophic and mixotrophic dinoflagellates that have been recognized as harmful algal bloom species associated with adverse fish and human health effects along the East Coast of North America, particularly in its largest (Chesapeake Bay in Maryland) and second largest (Albermarle-Pamlico Sound in North Carolina) estuaries. In response to impacts on human health and the economy, monitoring programs to detect the organism have been implemented in affected areas. However, until recently, specific identification of the two toxic species known thus far, Pfiesteria piscicida and P. shumwayae (sp. nov.), required scanning electron microscopy (SEM). SEM is a labor-intensive process in which a small number of cells can be analyzed, posing limitations when the method is applied to environmental estuarine water samples. To overcome these problems, we developed a real-time PCR-based assay that permits rapid and specific identification of these organisms in culture and heterogeneous environmental water samples. Various factors likely to be encountered when assessing environmental samples were addressed, and assay specificity was validated through screening of a comprehensive panel of cultures, including the two recognized Pfiesteria species, morphologically similar species, and a wide range of other estuarine dinoflagellates. Assay sensitivity and sample stability were established for both unpreserved and fixative (acidic Lugol's solution)-preserved samples. The effects of background DNA on organism detection and enumeration were also explored, and based on these results, we conclude that the assay may be utilized to derive quantitative data. This real-time PCR-based method will be useful for many other applications, including adaptation for field-based technology.

239 citations

Journal ArticleDOI
TL;DR: The authors found that both emotional reactivity and emotion regulation were important predictors of at least two types of social behavior: conflict and cooperation, when accompanied by high venting or high focal-object focus.
Abstract: Fifty-six mothers and their 24-month-old toddlers were observed on two occasions in a series of laboratory procedures designed to assess relations between emotional functioning (emotional reactivity and emotion regulation) in an individual assessment and social behavior with a same-sex peer. Emotional reactivity was assessed using two frustration tasks designed to elicit distress. Emotional regulation was assessed by examining the child’s behaviors (venting, distraction, focal-object focus, self-orientation, and mother-orientation) when confronted by the two distress-eliciting tasks. Peer play behaviors were coded for social participation and peer-directed conflict (aggressive) behavior. The results indicated that both emotional reactivity and emotion regulation were important predictors of at least two types of social behavior: conflict and cooperation. Distress to frustration, when accompanied by high venting or high focal-object focus, was significantly related to conflict with peers but not when accompanied by distraction, mother-orientation or self-focused behaviors. These findings are discussed in terms of the adaptive value of emotion regulation skills in early development, and the importance of identifying the causal relations between child regulation and early social competence.

239 citations

Journal ArticleDOI
TL;DR: A content analysis of 46 early learning standards documents developed by state-level organizations and available for review in January 2005 was conducted to determine the specific areas of development addressed within the standards documents as mentioned in this paper.

239 citations

Journal ArticleDOI
TL;DR: Triple-hop distance is a useful clinical test to predict an athlete's lower extremity strength and power and was not a predictor of static balance, although further research is needed to examine its relationship with more dynamic balance tests.
Abstract: Context: Hop tests are functional tests that reportedly require strength, power, and postural stability to perform. The extent to which a triple-hop distance (THD) test measures each of th...

238 citations


Authors

Showing all 5571 results

NameH-indexPapersCitations
Douglas E. Soltis12761267161
John C. Wingfield12250952291
Laurence Steinberg11540370047
Patrick Y. Wen10983852845
Mark T. Greenberg10752949878
Steven C. Hayes10645051556
Edward McAuley10545145948
Roberto Cabeza9425236726
K. Ranga Rama Krishnan9029926112
Barry J. Zimmerman8817756011
Michael K. Reiter8438030267
Steven R. Feldman83122737609
Charles E. Schroeder8223426466
Dale H. Schunk8116245909
Kim D. Janda7973126602
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202332
2022143
2021977
2020851
2019760
2018717