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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: Exploratory mediation analyses suggested that familism and parent-adolescent conflict mediated the effects of acculturation conflicts, parent and adolescent culture-of-origin involvement, and parent U.S. cultural involvement on adolescent aggression.
Abstract: The specific aim of this investigation was to map cultural factors associated with aggressive behavior in Latino adolescents Interviews were conducted with a sample of 481 foreign- and US-born Latino adolescents living in North Carolina and Arizona Structural Equation Modeling was used to validate a conceptual model linking adolescent and parent culture-of-origin and US cultural involvement, acculturation conflicts, and perceived discrimination to family processes (familism and parent-adolescent conflict) and adolescent aggression Parent-adolescent conflict was the strongest cultural risk factor followed by perceived discrimination Familism and adolescent culture-of-origin involvement were key cultural assets associated with less aggressive behavior Exploratory mediation analyses suggested that familism and parent-adolescent conflict mediated the effects of acculturation conflicts, parent and adolescent culture-of-origin involvement, and parent US cultural involvement on adolescent aggression Implications for prevention programming were discussed

199 citations

Journal ArticleDOI
TL;DR: The utility of salivary metabolome diagnostics for oral cancer is successfully demonstrated and results suggest that metabolomics approach complements the clinical detection of OSCC and stratifies the two types of lesions, leading to an improved disease diagnosis and prognosis.
Abstract: Oral cancer, one of the six most common human cancers with an overall 5-year survival rate of <50%, is often not diagnosed until it has reached an advanced stage. The aim of the current study is to explore salivary metabolomics as a disease diagnostic and stratification tool for oral cancer and leukoplakia and evaluate the potential of salivary metabolome for detection of oral squamous cell carcinoma (OSCC). Saliva metabolite profiling for a group of 37 OSCC patients, 32 oral leukoplakia (OLK) patients and 34 healthy subjects was performed using ultraperformance liquid chromatography coupled with quadrupole/time-of-flight mass spectrometry in conjunction with multivariate statistical analysis. The OSCC, OLK and healthy control groups demonstrate characteristic salivary metabolic signatures. A panel of five salivary metabolites including γ-aminobutyric acid, phenylalanine, valine, n-eicosanoic acid and lactic acid were selected using OPLS-DA model with S-plot. The predictive power of each of the five salivary metabolites was evaluated by receiver operating characteristic curves for OSCC. Valine, lactic acid and phenylalanine in combination yielded satisfactory accuracy (0.89, 0.97), sensitivity (86.5% and 94.6%), specificity (82.4% and 84.4%) and positive predictive value (81.6% and 87.5%) in distinguishing OSCC from the controls or OLK, respectively. The utility of salivary metabolome diagnostics for oral cancer is successfully demonstrated in this study and these results suggest that metabolomics approach complements the clinical detection of OSCC and stratifies the two types of lesions, leading to an improved disease diagnosis and prognosis.

198 citations

Journal ArticleDOI
TL;DR: Weight loss of approximately 0.5 kg per week between 4 and 14 weeks post partum in overweight women who are exclusively breast-feeding does not affect the growth of their infants.
Abstract: Background The retention of weight gained during pregnancy may contribute to obesity. Lactation should promote weight loss, but weight loss is highly variable among lactating women. The risks associated with the restriction of energy intake during lactation have not been adequately evaluated. The purpose of this study was to determine whether weight loss by women during lactation affects the growth of their infants. Methods We randomly assigned 40 breast-feeding women who were overweight (defined as a body-mass index [the weight in kilograms divided by the square of the height in meters] of 25 to 30) at 4 weeks post partum either to restrict their energy intake by 500 kcal per day and to exercise for 45 minutes per day for 4 days per week (the diet-and-exercise group) or to maintain their usual dietary intake and not exercise more than once per week for 10 weeks (the control group). We measured the weight and fat mass of the women and the weight and length of the infants before, during, and at the end of ...

198 citations

Journal ArticleDOI
TL;DR: Major results from this emerging field of study of carbon nanotubes are reviewed, revealing new properties of the material itself and opening possibilities for advances in future devices.
Abstract: Carbon nanotubes (CNTs) are among the most highly studied nanomaterials due to their unique (and intertwined) mechanical and electrical properties. Recent advances in fabrication have allowed devices to be fabricated that are capable of applying a twisting force to individual CNTs while measuring mechanical and electrical response. Here, we review major results from this emerging field of study, revealing new properties of the material itself and opening possibilities for advances in future devices.

197 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