Institution
University of North Carolina at Charlotte
Education•Charlotte, 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 published on a yearly basis
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TL;DR: In this paper, the structure and evolution of rapidly intensifying Hurricane Guillermo (1997) were examined using airborne Doppler radar observations, showing that the strongest convective bursts were triggered by azimuthally propagating low-wavenumber vorticity asymmetries.
Abstract: The structure and evolution of rapidly intensifying Hurricane Guillermo (1997) is examined using airborne Doppler radar observations. In this first part, the low-azimuthal-wavenumber component of the vortex is presented. Guillermo’s intensification occurred in an environmental flow with 7–8 m s−1 of deep-layer vertical shear. As a consequence of the persistent vertical shear forcing of the vortex, convection was observed primarily in the downshear left quadrant of the storm. The greatest intensification during the ∼6-h Doppler observation period coincided with the formation and cyclonic rotation of several particularly strong convective bursts through the left-of-shear semicircle of the eyewall. Some of the strongest convective bursts were triggered by azimuthally propagating low-wavenumber vorticity asymmetries. Mesoscale budget analyses of axisymmetric angular momentum and relative vorticity within the eyewall are presented to elucidate the mechanisms contributing to Guillermo’s structural evol...
201 citations
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TL;DR: In this paper, the authors compared classification-based techniques (discrete data) to the use of vegetation indices (continuous data) for land cover modeling and analyses of landscape fragmentation for a study area in western Honduras.
201 citations
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TL;DR: The robustness of splicing patterns in plants is highlighted and the importance of ongoing annotation and visualization of RNA-Seq data using interactive tools such as Integrated Genome Browser is highlighted.
Abstract: Pollen grains of Arabidopsis (Arabidopsis thaliana) contain two haploid sperm cells enclosed in a haploid vegetative cell. Upon germination, the vegetative cell extrudes a pollen tube that carries the sperm to an ovule for fertilization. Knowing the identity, relative abundance, and splicing patterns of pollen transcripts will improve our understanding of pollen and allow investigation of tissue-specific splicing in plants. Most Arabidopsis pollen transcriptome studies have used the ATH1 microarray, which does not assay splice variants and lacks specific probe sets for many genes. To investigate the pollen transcriptome, we performed high-throughput sequencing (RNA-Seq) of Arabidopsis pollen and seedlings for comparison. Gene expression was more diverse in seedling, and genes involved in cell wall biogenesis were highly expressed in pollen. RNA-Seq detected at least 4,172 protein-coding genes expressed in pollen, including 289 assayed only by nonspecific probe sets. Additional exons and previously unannotated 5′ and 3′ untranslated regions for pollen-expressed genes were revealed. We detected regions in the genome not previously annotated as expressed; 14 were tested and 12 were confirmed by polymerase chain reaction. Gapped read alignments revealed 1,908 high-confidence new splicing events supported by 10 or more spliced read alignments. Alternative splicing patterns in pollen and seedling were highly correlated. For most alternatively spliced genes, the ratio of variants in pollen and seedling was similar, except for some encoding proteins involved in RNA splicing. This study highlights the robustness of splicing patterns in plants and the importance of ongoing annotation and visualization of RNA-Seq data using interactive tools such as Integrated Genome Browser.
201 citations
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TL;DR: The authors proposed a general strain theory (GST) framework for explaining prison violence and other forms of misconduct, which enriches the deprivation model by revealing three distinctive categories of strain, and incorporates the coping model in its emphasis on how social support, social capital, and human capital can blunt the effects of potentially criminogenic strains.
Abstract: Explanations of prison violence and other forms of misconduct have been dominated by three competing models: (a) the deprivation model, (b) the importation model, and (c) the coping model. We propose that these three seemingly competing models can be integrated within Agnew’s general strain theory (GST). GST enriches the deprivation model by revealing three distinctive categories of strain. GST encompasses the importation model in hypothesizing that criminal cultural values and affiliations will structure the response to the strains of imprisonment. And GST incorporates the coping model in its emphasis on how social support, social capital, and human capital can blunt the effects of potentially criminogenic strains. Finally, GST is sufficiently broad to include factors (e.g., emotions, self-control) in the explanation of prison maladjustment not covered by the three main models of prison inmate behavior. In short, GST offers a general integrated framework for reconceptualizing our understanding of prison violence and misconduct.
201 citations
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TL;DR: The authors' efforts produced a stigma scale that had promising psychometric properties and suggested good model fit, and differential item functioning analyses indicated that the 24-item scale showed potential for measurement equivalence across conditions.
Abstract: Most measures of stigma are illness specific and do not allow for comparisons across conditions. As part of a study of health-related quality of life for people with neurological disorders, our team developed an instrument to assess the stigma for people with chronic illnesses. We based item content on literature review, responses from focus groups, and cognitive interviews. We then administered the items to people with neurological disorders for psychometric testing. Five hundred eleven participants completed items of the stigma scale. Exploratory factor analysis produced two factors that were highly correlated (r = 0.81). Confirmatory factor analysis produced high standardized loadings on an overall stigma factor (0.68–0.94), with poorer loadings on the two sub-domains (−0.12 to 0.53). These results demonstrated a sufficiently unidimensional scale that corresponded with the bifactor model. Item response theory modeling suggested good model fit, and differential item functioning analyses indicated that the 24-item scale showed potential for measurement equivalence across conditions. Our efforts produced a stigma scale that had promising psychometric properties. Further study can provide additional information about the SSCI and its benefit in measuring the impact of stigma across conditions.
201 citations
Authors
Showing all 8936 results
Name | H-index | Papers | Citations |
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Chao Zhang | 127 | 3119 | 84711 |
E. Magnus Ohman | 124 | 622 | 68976 |
Staffan Kjelleberg | 114 | 425 | 44414 |
Kenneth L. Davis | 113 | 622 | 61120 |
David Wilson | 102 | 757 | 49388 |
Michael Bauer | 100 | 1052 | 56841 |
David A. B. Miller | 96 | 702 | 38717 |
Ashutosh Chilkoti | 95 | 414 | 32241 |
Chi-Wang Shu | 93 | 529 | 56205 |
Gang Li | 93 | 486 | 68181 |
Tiefu Zhao | 90 | 593 | 36856 |
Juan Carlos García-Pagán | 90 | 348 | 25573 |
Denise C. Park | 88 | 267 | 33158 |
Santosh Kumar | 80 | 1196 | 29391 |
Chen Chen | 76 | 853 | 24974 |