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2011

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Articles 10321 - 10326 of 10326

Full-Text Articles in Physical Sciences and Mathematics

Extracting Information From Functional Connectivity Maps Via Function-On-Scalar Regression, Philip T. Reiss, Maarten Mennes, Eva Petkova, Lei Huang, Matthew J. Hoptman, Bharat B. Biswal, Stanley J. Colcombe, Xi-Nian Zuo, Michael P. Milham Dec 2010

Extracting Information From Functional Connectivity Maps Via Function-On-Scalar Regression, Philip T. Reiss, Maarten Mennes, Eva Petkova, Lei Huang, Matthew J. Hoptman, Bharat B. Biswal, Stanley J. Colcombe, Xi-Nian Zuo, Michael P. Milham

Philip T. Reiss

Functional connectivity of an individual human brain is often studied by acquiring a resting state functional magnetic resonance imaging scan, and mapping the correlation of each voxel's BOLD time series with that of a seed region. As large collections of such maps become available, including multisite data sets, there is an increasing need for ways to distill the information in these maps in a readily visualized form. Here we propose a two-step analytic strategy. First, we construct connectivity-distance profiles, which summarize the connectivity of each voxel in the brain as a function of distance from the seed, a functional relationship …

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Predicting Flavonoid Ugt Regioselectivity, Arthur R. Jackson, Debra Knisley, Cecilia Mcintosh, Phillip Pfeiffer Dec 2010

Predicting Flavonoid Ugt Regioselectivity, Arthur R. Jackson, Debra Knisley, Cecilia Mcintosh, Phillip Pfeiffer

Cecilia A. McIntosh

Machine learning was applied to a challenging and biologically significant protein classification problem: the prediction of avonoid UGT acceptor regioselectivity from primary sequence. Novel indices characterizing graphical models of residues were proposed and found to be widely distributed among existing amino acid indices and to cluster residues appropriately. UGT subsequences biochemically linked to regioselectivity were modeled as sets of index sequences. Several learning techniques incorporating these UGT models were compared with classifications based on standard sequence alignment scores. These techniques included an application of time series distance functions to protein classification. Time series distances defined on the index sequences were …

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Institutional-Scale Operational Symbiosis Of Photovoltaic And Cogeneration Energy Systems, M. Mostofi, A. H. Nosrat, Joshua M. Pearce Dec 2010

Institutional-Scale Operational Symbiosis Of Photovoltaic And Cogeneration Energy Systems, M. Mostofi, A. H. Nosrat, Joshua M. Pearce

Joshua M. Pearce

Due to the negative environmental effects of fossil fuel combustion, there is a growing interest in both improved efficiency in energy management and a large-scale transition to renewable energy systems. Using both of these strategies, a large institutional-scale hybrid energy system is proposed here, which incorporates both solar photovoltaic energy conversion to supply renewable energy and cogeneration to improve efficiency. In this case, the photovoltaic reduces the run time for the cogeneration to meet load, particularly in peaking air conditioning times. In turn, however, the cogeneration system is used to provide power back up for the photovoltaic during the night …

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Ftir And Diode Laser Spectroscopy Of Isobutylene.Pdf, Trocia N. Clasp, Scott Reeve Dec 2010

Ftir And Diode Laser Spectroscopy Of Isobutylene.Pdf, Trocia N. Clasp, Scott Reeve

Scott Reeve

No abstract provided.

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An Optical Nose Approach To Explosive Detection.Pdf, Tabetha Osborn, Joshua Green, William A. Burns, Scott Reeve Dec 2010

An Optical Nose Approach To Explosive Detection.Pdf, Tabetha Osborn, Joshua Green, William A. Burns, Scott Reeve

Scott Reeve

No abstract provided.

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Clustering Algorithm Identification System Using Wavelet Transform, Philadelphia University Dec 2010

Clustering Algorithm Identification System Using Wavelet Transform, Philadelphia University

Philadelphia University, Jordan

No abstract provided.

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