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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 examine how transformational leadership influences the implementation of performance reforms, using performance information use as a dependent variable, and develop a theoretical model that proposes that transformational leaders "set the table" for performance information using via a positive but indirect effect on two mediating factors, goal clarity and organizational culture.
Abstract: The article offers a theory of how leadership affects the implementation of management reforms. The central premise of this theory is that leadership can have important but easyto-miss indirect effects on organizational factors that shape reform outcomes. To test this question, we examine how transformational leadership influences the implementation of performance reforms, using performance information use as a dependent variable. Previous research suggests that leadership can affect how performance information is used among employees but underspecifies the theoretical mechanisms by which this influence occurs. This article develops a theoretical model that proposes that transformational leaders ‘‘set the table’’ for performance information use via a positive but indirect effect on two mediating factors, goal clarity and organizational culture. A structural equation model using selfreported performance information use as a dependent variable provides empirical evidence consistent with our theory.

342 citations

Journal ArticleDOI
26 Sep 2012-PLOS ONE
TL;DR: The results indicate that the adult CF lung microbiome is largely stable through periods of exacerbation and antibiotic treatment and that short-term compositional changes in the airway microbiota do not account for CF pulmonary exacerbations.
Abstract: Cystic fibrosis (CF) is characterized by defective mucociliary clearance and chronic airway infection by a complex microbiota. Infection, persistent inflammation and periodic episodes of acute pulmonary exacerbation contribute to an irreversible decline in CF lung function. While the factors leading to acute exacerbations are poorly understood, antibiotic treatment can temporarily resolve pulmonary symptoms and partially restore lung function. Previous studies indicated that exacerbations may be associated with changes in microbial densities and the acquisition of new microbial species. Given the complexity of the CF microbiota, we applied massively parallel pyrosequencing to identify changes in airway microbial community structure in 23 adult CF patients during acute pulmonary exacerbation, after antibiotic treatment and during periods of stable disease. Over 350,000 sequences were generated, representing nearly 170 distinct microbial taxa. Approximately 60% of sequences obtained were from the recognized CF pathogens Pseudomonas and Burkholderia, which were detected in largely non-overlapping patient subsets. In contrast, other taxa including Prevotella, Streptococcus, Rothia and Veillonella were abundant in nearly all patient samples. Although antibiotic treatment was associated with a small decrease in species richness, there was minimal change in overall microbial community structure. Furthermore, microbial community composition was highly similar in patients during an exacerbation and when clinically stable, suggesting that exacerbations may represent intrapulmonary spread of infection rather than a change in microbial community composition. Mouthwash samples, obtained from a subset of patients, showed a nearly identical distribution of taxa as expectorated sputum, indicating that aspiration may contribute to colonization of the lower airways. Finally, we observed a strong correlation between low species richness and poor lung function. Taken together, these results indicate that the adult CF lung microbiome is largely stable through periods of exacerbation and antibiotic treatment and that short-term compositional changes in the airway microbiota do not account for CF pulmonary exacerbations.

341 citations

Journal ArticleDOI
TL;DR: This article used the framework of technological pedagogical content knowledge (TPACK) to analyze findings across projects from the U.S. Department of Education's Preparing Tomorrow's Teachers to Use Technology (PT3) initiative.

340 citations

Journal ArticleDOI
TL;DR: A new efficient algorithm for Gabor-filter design is presented, along with methods for estimating filter output statistics, which typically requires an order of magnitude less computation to design a filter than a previously proposed method.

339 citations

Proceedings ArticleDOI
16 Mar 2003
TL;DR: This paper presents a brief technical introduction of the IEEE 802.15.14.4 standard and analyzes the coexistence impact of an IEEE 802-15.4 network on the IEEE802.11b devices.
Abstract: IEEE 802.15.4 is a proposed standard addressing the needs of low-rate wireless personal area networks or LR-WPAN with a focus on enabling wireless sensor networks. The standard is characterized by maintaining a high level of simplicity, allowing for low cost and low power implementations. Its operational frequency band includes the 2.4 GHz industrial, scientific and medical band providing nearly worldwide availability; additionally, this band is also used by other IEEE 802 wireless standards. Coexistence among diverse collocated devices in the 2.4 GHz band is an important issue in order to ensure that each wireless service maintains its desired performance requirements. This paper presents a brief technical introduction of the IEEE 802.15.4 standard and analyzes the coexistence impact of an IEEE 802.15.4 network on the IEEE 802.11b devices.

336 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
20211,470
20201,561
20191,489
20181,318