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: Wang et al. as discussed by the authors provided a historical review of urbanization and urban ecology in China; based on this retrospective analysis, they further identified the main characteristics of, and missing links in, China's urban ecological research; and finally they suggest future research directions.
174 citations
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TL;DR: A multiyear study on the ecology of V. vulnificus in estuarine waters of the eastern United States, employing extensive multiple regression analyses to reveal the major environmental factors controlling the presence of this pathogen, and of Vibrio spp.
Abstract: While several studies on the ecology of Vibrio vulnificus in Gulf Coast environments have been reported, there is little information on the distribution of this pathogen in East Coast waters. Thus, we conducted a multiyear study on the ecology of V. vulnificus in estuarine waters of the eastern United States, employing extensive multiple regression analyses to reveal the major environmental factors controlling the presence of this pathogen, and of Vibrio spp., in these environments. Monthly field samplings were conducted between July 2000 and April 2002 at six different estuarine sites along the eastern coast of North Carolina. At each site, water samples were taken and nine physicochemical parameters were measured. V. vulnificus isolates, along with estuarine bacteria, Vibrio spp., Escherichia coli organisms, and total coliforms, were enumerated in samples from each site by using selective media. During the last 6 months of the study, sediment samples were also analyzed for the presence of vibrios, including V. vulnificus. Isolates were confirmed as V. vulnificus by using hemolysin gene PCR or colony hybridization. V. vulnificus was isolated only when water temperatures were between 15 and 27°C, and its presence correlated with water temperature and dissolved oxygen and vibrio levels. Levels of V. vulnificus in sediments were low, and no evidence for an overwintering in this environment was found. Multiple regression analysis indicated that vibrio levels were controlled primarily by temperature, turbidity, and levels of dissolved oxygen, estuarine bacteria, and coliforms. Water temperature accounted for most of the variability in the concentrations of both V. vulnificus (47%) and Vibrio spp. (48%).
173 citations
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17 Oct 2005TL;DR: This work has developed a robust system aimed at inter-camera color consistency that consists of an iterative closed-loop calibration phase that searches for the per-camera hardware register settings that best balance linearity and dynamic range, followed by a refinement phase that computes thePer-camera parametric values for an additional software-based color mapping.
Abstract: Most multi-camera vision applications assume a single common color response for all cameras. However different cameras - even of the same type - can exhibit radically different color responses, and the differences can cause significant errors in scene interpretation. To address this problem we have developed a robust system aimed at inter-camera color consistency. Our method consists of two phases: an iterative closed-loop calibration phase that searches for the per-camera hardware register settings that best balance linearity and dynamic range, followed by a refinement phase that computes the per-camera parametric values for an additional software-based color mapping
173 citations
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TL;DR: A multilevel, multistaged model of organizational interpretation is proposed that highlights the important, but generally unacknowledged, role middle managers can play in helping organizations experience rare and unusual events richly.
Abstract: Organizations have difficulty learning from rare and unusual events because of their inability to interpret these events. Because organizations develop habitual ways of interpreting events---often top down---they can easily miss the novelty of rare and unusual events, which prevents them from experiencing events “richly.” We propose a multilevel, multistaged model of organizational interpretation that highlights the important, but generally unacknowledged, role middle managers can play in helping organizations experience rare and unusual events richly. Our model accounts for the effect of cognitive biases and hierarchical context on organizational interpretation. Because of their proximity to the interpretations of both strategic and front-line managers, middle managers can encourage divergence in interpretations of managers across hierarchical levels during early stages of the interpretation process and can blend and synthesize the divergent interpretations of managers during later stages. In this way middle managers contribute to a dynamic process of organizational interpretation in which multiple filters from throughout the organization help frame and enrich interpretations of rare and unusual events, which enables organizational learning.
173 citations
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TL;DR: A significant increase inHO‐1 on the whole organ level was noted by hemorrhagic hypotension, GSH depletion, and cobalt chloride injection, however, the distinct stress models led to a strikingly different cell‐type specific and sublobular expression pattern of HO‐1 gene expression.
173 citations
Authors
Showing all 8936 results
Name | H-index | Papers | Citations |
---|---|---|---|
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 |