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Institution

University of North Carolina at Charlotte

EducationCharlotte, North Carolina, United States
About: University of North Carolina at Charlotte is a education organization based out in Charlotte, North Carolina, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 8772 authors who have published 22239 publications receiving 562529 citations. The organization is also known as: UNC Charlotte & UNCC.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors used a sample of posts from active Web forums for johns in 10 U.S. cities to study the attitudes and methods of johns and their interactions with sex workers.
Abstract: Academic research on prostitution focuses on the prostitute, rather than the clients, who are called johns. This limits our understanding of the methods and reasons individuals solicit sex. However, johns increasingly use computer mediated communications to discuss sex work. Their comments provide insight into the attitudes and methods of johns. This qualitative study utilizes a sample of posts from active Web forums for johns in 10 U.S. cities. The findings indicate the importance of on-line discussions for johns to identify and solicit sex workers, as well as manage external risks. Implications for law enforcement and deviance research are also discussed.

167 citations

Journal ArticleDOI
TL;DR: A review of the literature published between 1975 and 2007 on the application of time delay as an instructional procedure to teach word and picture recognition to students with severe developmental disabilities was conducted in this paper.
Abstract: A review of the literature was conducted for articles published between 1975 and 2007 on the application of time delay as an instructional procedure to teach word and picture recognition to students with severe developmental disabilities in an effort to evaluate time delay as an evidence-based practice. A total of 30 experiments were analyzed using quality indicators for single-subject design research. In general, we found that time delay was an evidence-based practice for teaching picture and sight word recognition supported by standards for evidence-based practice proposed by Horner et al. (2005). We discuss lessons learned in summarizing a body of literature to define an evidence-based practice and suggestions for better defining the practice.

167 citations

Journal ArticleDOI
TL;DR: It is demonstrated that Mo-MDSC significantly increase the frequency of ALDH1Bright CSCs in a mouse model of PC and this transformation is dependent on the activation of the STAT3 pathway, and targeting STAT3 activation may be an effective therapeutic strategy in targeting C SCs in PC.
Abstract: Pancreatic cancer (PC) mobilizes myeloid cells from the bone marrow to the tumor where they promote tumor growth and proliferation. Cancer stem cells (CSCs) are a population of tumor cells that are responsible for tumor initiation. Aldehyde dehydrogenase-1 activity in PC identifies CSCs, and its activity has been correlated with poor overall prognosis in human PC. Myeloid cells have been shown to impact tumor stemness, but the impact of immunosuppressive tumor-infiltrating granulocytic and monocytic myeloid-derived suppressor cells (Mo-MDSC) on ALDH1Bright CSCs and epithelial to mesenchymal transition is not well understood. In this study, we demonstrate that Mo-MDSC (CD11b+/Gr1+/Ly6G−/Ly6Chi) significantly increase the frequency of ALDH1Bright CSCs in a mouse model of PC. Additionally, there was significant upregulation of genes associated with epithelial to mesenchymal transition. We also found that human PC converts CD14+ peripheral blood monocytes into Mo-MDSC (CD14+/HLA-DRlow/−) in vitro, and this transformation is dependent on the activation of the STAT3 pathway. In turn, these Mo-MDSC increase the frequency of ALDH1Bright CSCs and promote mesenchymal features of tumor cells. Finally, blockade of STAT3 activation reversed the increase in ALDH1Bright CSCs. These data suggest that the PC tumor microenvironment transforms monocytes to Mo-MDSC by STAT3 activation, and these cells increase the frequency of ALDH1Bright CSCs. Therefore, targeting STAT3 activation may be an effective therapeutic strategy in targeting CSCs in PC.

167 citations

Journal ArticleDOI
TL;DR: In this article, the authors examine the tension between performance regimes and the complexity of modern governance, identifying implications and questions for research and practice, and propose a framework for performance measurement in the context of a disarticulated state.
Abstract: Much of the appeal of performance measurement is explained by its image as a simple and value-neutral way to monitor and improve government. But contemporary governance is characterized by complexity. Few public officials have the luxury of directly providing relatively simple services, the context in which performance regimes work best. Instead, they must work in the context of a disarticulated state, with policy problems that cross national boundaries and demand a multi-actor response. At the same time, traditional democratic values must be honored. This article examines the tensions between performance regimes and the complexity of modern governance, identifying implications and questions for research and practice.

167 citations

Proceedings ArticleDOI
02 Jun 2014
TL;DR: The results show that BodyBeat outperforms other existing solutions in capturing and recognizing different types of important non-speech body sounds.
Abstract: In this paper, we propose BodyBeat, a novel mobile sensing system for capturing and recognizing a diverse range of non-speech body sounds in real-life scenarios. Non-speech body sounds, such as sounds of food intake, breath, laughter, and cough contain invaluable information about our dietary behavior, respiratory physiology, and affect. The BodyBeat mobile sensing system consists of a custom-built piezoelectric microphone and a distributed computational framework that utilizes an ARM microcontroller and an Android smartphone. The custom-built microphone is designed to capture subtle body vibrations directly from the body surface without being perturbed by external sounds. The microphone is attached to a 3D printed neckpiece with a suspension mechanism. The ARM embedded system and the Android smartphone process the acoustic signal from the microphone and identify non-speech body sounds. We have extensively evaluated the BodyBeat mobile sensing system. Our results show that BodyBeat outperforms other existing solutions in capturing and recognizing different types of important non-speech body sounds.

167 citations


Authors

Showing all 8936 results

NameH-indexPapersCitations
Chao Zhang127311984711
E. Magnus Ohman12462268976
Staffan Kjelleberg11442544414
Kenneth L. Davis11362261120
David Wilson10275749388
Michael Bauer100105256841
David A. B. Miller9670238717
Ashutosh Chilkoti9541432241
Chi-Wang Shu9352956205
Gang Li9348668181
Tiefu Zhao9059336856
Juan Carlos García-Pagán9034825573
Denise C. Park8826733158
Santosh Kumar80119629391
Chen Chen7685324974
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202361
2022231
20211,471
20201,561
20191,489
20181,318