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.
Topics: Population, Poison control, Health care, Visualization, Mental health
Papers published on a yearly basis
Papers
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TL;DR: In this article, the combined effects of cadmium and elevated temperature on mitochondrial function in oysters were studied in response to different Cadmium levels and temperatures in isolated mitochondria from the eastern oyster Crassostrea virginica acclimated at 15°C.
Abstract: SUMMARY Marine intertidal mollusks, such as oysters, are exposed to multiple
stressors in estuaries, including varying environmental temperature and levels
of trace metals, which may interactively affect their physiology. In order to
understand the combined effects of cadmium and elevated temperature on
mitochondrial bioenergetics of marine mollusks, respiration rates and
mitochondrial volume changes were studied in response to different cadmium
levels (0–1000 μmol l –1 ) and temperatures (15, 25
and 35°C) in isolated mitochondria from the eastern oyster Crassostrea
virginica acclimated at 15°C. It was found that both cadmium and
temperature significantly affect mitochondrial function in oysters. Elevated
temperature had a rate-enhancing effect on state 3 (ADP-stimulated) and states
4 and 4+ (representative of proton leak) respiration, and the rate of
temperature-dependent increase was higher for states 4 and 4+ than for state 3
respiration. Exposure of oyster mitochondria to 35°C resulted in a
decreased respiratory control and phosphorylation efficiency (P/O ratio)
compared to that of the acclimation temperature (15°C), while an
intermediate temperature (25°C) had no effect. Cadmium exposure did not
lead to a significant volume change in oyster mitochondria in vitro .
Low levels of cadmium (1–5 μmol l –1 ) stimulated the
rate of proton leak in oyster mitochondria, while not affecting ADP-stimulated
state 3 respiration. In contrast, higher cadmium levels (10–50 μmol
l –1 ) had little or no effect on proton leak, but
significantly inhibited state 3 respiration by 40–80% of the control
rates. Elevated temperature increased sensitivity of oyster mitochondria to
cadmium leading to an early inhibition of ADP-stimulated respiration and an
onset of complete mitochondrial uncoupling at progressively lower cadmium
concentrations with increasing temperature. Enhancement of cadmium effects by
elevated temperatures suggests that oyster populations subjected to elevated
temperatures due to seasonal warming or global climate change may become more
susceptible to trace metal pollution, and vice versa .
168 citations
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24 Aug 2014
TL;DR: This paper proposes a flexible approach based on modern portfolio theory for recommending Apps by striking a balance between the Apps' popularity and the users' security concerns, and builds an App hash tree to efficiently recommend Apps.
Abstract: With the rapid prevalence of smart mobile devices, the number of mobile Apps available has exploded over the past few years. To facilitate the choice of mobile Apps, existing mobile App recommender systems typically recommend popular mobile Apps to mobile users. However, mobile Apps are highly varied and often poorly understood, particularly for their activities and functions related to privacy and security. Therefore, more and more mobile users are reluctant to adopt mobile Apps due to the risk of privacy invasion and other security concerns. To fill this crucial void, in this paper, we propose to develop a mobile App recommender system with privacy and security awareness. The design goal is to equip the recommender system with the functionality which allows to automatically detect and evaluate the security risk of mobile Apps. Then, the recommender system can provide App recommendations by considering both the Apps' popularity and the users' security preferences. Specifically, a mobile App can lead to security risk because insecure data access permissions have been implemented in this App. Therefore, we first develop the techniques to automatically detect the potential security risk for each mobile App by exploiting the requested permissions. Then, we propose a flexible approach based on modern portfolio theory for recommending Apps by striking a balance between the Apps' popularity and the users' security concerns, and build an App hash tree to efficiently recommend Apps. Finally, we evaluate our approach with extensive experiments on a large-scale data set collected from Google Play. The experimental results clearly validate the effectiveness of our approach.
167 citations
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TL;DR: The metabolic pathways, which could potentially contribute to NO and N₂O production by AOB have been conceptually reconstructed under conditions especially relevant to engineered nitrogen-removal systems, and suggest that engineering designs that achieve low effluent aqueous nitrogen concentrations also minimize gaseous nitrogen emissions.
Abstract: Chemolithoautotrophic AOB (ammonia-oxidizing bacteria) form a crucial component in microbial nitrogen cycling in both natural and engineered systems. Under specific conditions, including transitions from anoxic to oxic conditions and/or excessive ammonia loading, and the presence of high nitrite (NO2−) concentrations, these bacteria are also documented to produce nitric oxide (NO) and nitrous oxide (N2O) gases. Essentially, ammonia oxidation in the presence of non-limiting substrate concentrations (ammonia and O2) is associated with N2O production. An exceptional scenario that leads to such conditions is the periodical switch between anoxic and oxic conditions, which is rather common in engineered nitrogen-removal systems. In particular, the recovery from, rather than imposition of, anoxic conditions has been demonstrated to result in N2O production. However, applied engineering perspectives, so far, have largely ignored the contribution of nitrification to N2O emissions in greenhouse gas inventories from wastewater-treatment plants. Recent field-scale measurements have revealed that nitrification-related N2O emissions are generally far higher than emissions assigned to heterotrophic denitrification. In the present paper, the metabolic pathways, which could potentially contribute to NO and N2O production by AOB have been conceptually reconstructed under conditions especially relevant to engineered nitrogen-removal systems. Taken together, the reconstructed pathways, field- and laboratory-scale results suggest that engineering designs that achieve low effluent aqueous nitrogen concentrations also minimize gaseous nitrogen emissions.
Abbreviations: AMO, ammonia mono-oxygenase; anammox, anaerobic ammonium oxidation; AOB, ammonia-oxidizing bacteria; BNR, biological nitrogen removal; HAO, hydroxylamine oxidoreductase; IPCC, Intergovernmental Panel on Climate Change; Nor, nitric oxide reductase; USEPA, U.S. Environmental Protection Agency
167 citations
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TL;DR: The state-of-the-art in surface texture and topography replication at micro and nano scale is described in this article, which includes replication of surfaces in polymers, metals and glass.
Abstract: The paper describes the state-of-the-art in replication of surface texture and topography at micro and nano scale. The description includes replication of surfaces in polymers, metals and glass. Three different main technological areas enabled by surface replication processes are presented: manufacture of net-shape micro/nano surfaces, tooling (i.e. master making), and surface quality control (metrology, inspection). Replication processes and methods as well as the metrology of surfaces to determine the degree of replication are presented and classified. Examples from various application areas are given including replication for surface texture measurements, surface roughness standards, manufacture of micro and nano structured functional surfaces, replicated surfaces for optical applications (e.g. optical gratings), and process chains based on combinations of repeated surface replication steps.
167 citations
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TL;DR: A comprehensive study to model the recency effect using a big data approach and two interesting findings are presented: 1) the naive models are not useful for benchmark purposes in load forecasting at aggregated level due to their lack of accuracy; and 2) slicing the data into 24 pieces to develop one model for each hour is not necessarily better than building one interaction regression model using all 24 hours together.
167 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 |