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Institution

University of Central Florida

EducationOrlando, Florida, United States
About: University of Central Florida is a education organization based out in Orlando, Florida, United States. It is known for research contribution in the topics: Laser & Population. The organization has 18822 authors who have published 48679 publications receiving 1234422 citations. The organization is also known as: UCF.


Papers
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Journal ArticleDOI
TL;DR: Landfill bioreactor technology offers important advantages in the management and treatment of municipal solid waste, including accelerated waste stabilization rates, enhanced gas production, facilitated leachate management, volume reduction and minimized long-term liability.

271 citations

Journal ArticleDOI
TL;DR: In this article, the authors use meta-analysis to examine the relationship between shared mental models (SMMs) and team process and performance and test three aspects of measurement as potential moderators: elicitation method, structure representation, and representation of emergence.
Abstract: Although shared team mental models are believed to be important to team functioning, substantial interstudy differences in the manner in which mental models are operationalized has impeded progress in this area. We use meta-analysis to cumulate 23 independent studies that have empirically examined shared mental models (SMMs) in relation to team process and performance and test three aspects of measurement as potential moderators: elicitation method, structure representation, and representation of emergence. Results indicate the way in which SMMs are measured and represented at the team level of analysis reveal meaningful distinctions in observed relationships. Specifically, shared mental model operationalization impacts the observed relationship between SMMs and team process; importantly, only methods that model the structure or organization of knowledge are predictive of process. Conversely, while the magnitude of the relationship differed across measurement method, SMMs were positively related to team performance regardless of the manner of operationalization. In summary, knowledge structure is predictive of team process, and both knowledge content and structure are predictive of team performance.

271 citations

Proceedings ArticleDOI
01 Oct 2017
TL;DR: This paper presents a simple and modularized neural network architecture, named interleaved group convolutional neural networks (IGCNets), and discusses one representative advantage: Wider than a regular convolution with the number of parameters and the computation complexity preserved.
Abstract: In this paper, we present a simple and modularized neural network architecture, named interleaved group convolutional neural networks (IGCNets). The main point lies in a novel building block, a pair of two successive interleaved group convolutions: primary group convolution and secondary group convolution. The two group convolutions are complementary: (i) the convolution on each partition in primary group convolution is a spatial convolution, while on each partition in secondary group convolution, the convolution is a point-wise convolution; (ii) the channels in the same secondary partition come from different primary partitions. We discuss one representative advantage: Wider than a regular convolution with the number of parameters and the computation complexity preserved. We also show that regular convolutions, group convolution with summation fusion, and the Xception block are special cases of interleaved group convolutions. Empirical results over standard benchmarks, CIFAR-10, CIFAR-100, SVHN and ImageNet demonstrate that our networks are more efficient in using parameters and computation complexity with similar or higher accuracy.

271 citations

Journal ArticleDOI
TL;DR: In this paper, the role of the size and shape of nanoparticles on chemisorption and catalytic performance is discussed and explained based on the existence of different atomic structures on the NP surface.

270 citations

Journal ArticleDOI
TL;DR: Emerging data supporting a neuroprotective action of SIRT3 against Alzheimer's disease, Huntington’s disease, Parkinson’S disease, Parkinsons disease, and amyotrophic lateral sclerosis are summarized.
Abstract: Caloric restriction, fasting, and exercise have long been recognized for their neuroprotective and lifespan-extending properties; however, the underlying mechanisms of these phenomena remain elusive. Such extraordinary benefits might be linked to the activation of sirtuins. In mammals, the sirtuin family has seven members (SIRT1-7), which diverge in tissue distribution, subcellular localization, enzymatic activity and targets. SIRT1, SIRT2, and SIRT3 have deacetylase activity. Their dependence on NAD+ directly links their activity to the metabolic status of the cell. High NAD+ levels convey neuroprotective effects, possibly via activation of sirtuin family members. Mitochondrial sirtuin 3 (SIRT3) has received much attention for its role in metabolism and aging. Specific small nucleotide polymorphisms (SNPs) in Sirt3 are linked to increased human lifespan. SIRT3 mediates the adaptation of increased energy demand during caloric restriction, fasting and exercise to increased production of energy equivalents. SIRT3 deacetylates and activates mitochondrial enzymes involved in fatty acid β-oxidation, amino acid metabolism, the electron transport chain, and antioxidant defenses. As a result, the mitochondrial energy metabolism increases. In addition, SIRT3 prevents apoptosis by lowering reactive oxygen species (ROS) and inhibiting components of the mitochondrial permeability transition pore. Mitochondrial deficits associated with aging and neurodegeneration might therefore be slowed or even prevented by SIRT3 activation. In addition, upregulating SIRT3 activity by dietary supplementation of sirtuin activating compounds might promote the beneficial effects of this enzyme. The goal of this review is to summarize emerging data supporting a neuroprotective action of SIRT3 against Alzheimer’s disease (AD), Huntington’s disease (HD), Parkinson’s disease (PD) and amyotrophic lateral sclerosis (ALS).

270 citations


Authors

Showing all 19051 results

NameH-indexPapersCitations
Gang Chen1673372149819
Kevin M. Huffenberger13840293452
Eduardo Salas12971162259
Akihisa Inoue126265293980
Allan H. MacDonald11992656221
Hagop S. Akiskal11856550869
Richard P. Van Duyne11640979671
Jun Wang106103149206
Mubarak Shah10661456738
Larry L. Hench10349155633
Michael Walsh10296342231
Wei Liu102292765228
Demetrios N. Christodoulides10070451093
Paul E. Spector9932552843
Eric A. Hoffman9980936891
Network Information
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202398
2022371
20213,429
20203,546
20193,315
20183,094