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East Bay Energy Consortium Joint Committee Workshop At Bristol Town Hall, Burnside Building: Meeting Notes, April 19, 2010, East Bay Energy Consortium 2010 Roger Williams University

East Bay Energy Consortium Joint Committee Workshop At Bristol Town Hall, Burnside Building: Meeting Notes, April 19, 2010, East Bay Energy Consortium

East Bay Energy Consortium Documents

No abstract provided.


A Reproducing Kernel Hilbert Space Approach To Functional Linear Regression, Ming Yuan, T. Tony Cai 2010 University of Pennsylvania

A Reproducing Kernel Hilbert Space Approach To Functional Linear Regression, Ming Yuan, T. Tony Cai

Statistics Papers

We study in this paper a smoothness regularization method for functional linear regression and provide a unified treatment for both the prediction and estimation problems. By developing a tool on simultaneous diagonalization of two positive definite kernels, we obtain shaper results on the minimax rates of convergence and show that smoothness regularized estimators achieve the optimal rates of convergence for both prediction and estimation under conditions weaker than those for the functional principal components based methods developed in the literature. Despite the generality of the method of regularization, we show that the procedure is easily implementable. Numerical results are obtained ...


Online Learning: Random Averages, Combinatorial Parameters, And Learnability, Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari 2010 University of Pennsylvania

Online Learning: Random Averages, Combinatorial Parameters, And Learnability, Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari

Statistics Papers

We develop a theory of online learning by defining several complexity measures. Among them are analogues of Rademacher complexity, covering numbers and fatshattering dimension from statistical learning theory. Relationship among these complexity measures, their connection to online learning, and tools for bounding them are provided. We apply these results to various learning problems. We provide a complete characterization of online learnability in the supervised setting.


Learning Exponential Families In High-Dimensions: Strong Convexity And Sparsity, Sham M. Kakade, Ohad Shamir, Karthik Sridharan, Ambuj Tewari 2010 University of Pennsylvania

Learning Exponential Families In High-Dimensions: Strong Convexity And Sparsity, Sham M. Kakade, Ohad Shamir, Karthik Sridharan, Ambuj Tewari

Statistics Papers

The versatility of exponential families, along with their attendant convexity properties, make them a popular and effective statistical model. A central issue is learning these models in high-dimensions when the optimal parameter vector is sparse. This work characterizes a certain strong convexity property of general exponential families, which allows their generalization ability to be quantified. In particular, we show how this property can be used to analyze generic exponential families under L1 regularization.


False Discovery Rate Control For High Dimensional Dependent Data With An Application To Large-Scale Genetic Association Studies, Jichun Xie, Tony Cai, John Maris, Hongzhe Li 2010 University of Pennsylvania

False Discovery Rate Control For High Dimensional Dependent Data With An Application To Large-Scale Genetic Association Studies, Jichun Xie, Tony Cai, John Maris, Hongzhe Li

Statistics Papers

Large-scale genetic association studies are increasingly utilized for identifying novel susceptible genetic variants for complex traits, but there is little consensus on analysis methods for such data. Most commonly used methods include single SNP analysis or haplotype analysis with Bonferroni correction for multiple comparisons. Since the SNPs in typical GWAS are often in linkage disequilibrium (LD), at least locally, Bonferonni correction of multiple comparisons often leads to conservative error control and therefore lower statistical power. Motivated by an application for analysis of data from the genetic association studies, we consider the problem of false discovery rate (FDR) control under the ...


Improving The Crystal Ball: Consumer Consensus And Retail Prediction Markets, Carol Kaufman-Scarborough, Maureen Morrin, Greg Petro, Eric T. Bradlow 2010 Rutgers University

Improving The Crystal Ball: Consumer Consensus And Retail Prediction Markets, Carol Kaufman-Scarborough, Maureen Morrin, Greg Petro, Eric T. Bradlow

Statistics Papers

Retail buyers' forecasts, decisions, and subsequent purchases result in billions of dollars of merchandise being purchased and offered for sale by retailers around the world. However, academic research examining this decision process has been limited, and recommendations for improvement almost nonexistent. In the present study, we begin to address this issue by introducing a new approach that compares retail buyers' consensus forecasts with those from a sample of “ordinary” consumers. The potential for incorporating forecasts from ordinary consumers suggests an opportunity to create what are termed retail prediction markets, which offer significant potential to improve the accuracy of buyers’ forecasts ...


An Intelligent Data-Centric Approach Toward Identification Of Conserved Motifs In Protein Sequences, Kathryn Dempsey Cooper, Benjamin Currall, Richard Hallworth, Hesham Ali 2010 University of Nebraska at Omaha

An Intelligent Data-Centric Approach Toward Identification Of Conserved Motifs In Protein Sequences, Kathryn Dempsey Cooper, Benjamin Currall, Richard Hallworth, Hesham Ali

Interdisciplinary Informatics Faculty Proceedings & Presentations

The continued integration of the computational and biological sciences has revolutionized genomic and proteomic studies. However, efficient collaboration between these fields requires the creation of shared standards. A common problem arises when biological input does not properly fit the expectations of the algorithm, which can result in misinterpretation of the output. This potential confounding of input/output is a drawback especially when regarding motif finding software. Here we propose a method for improving output by selecting input based upon evolutionary distance, domain architecture, and known function. This method improved detection of both known and unknown motifs in two separate case ...


Perceptually Realistic Behavior Through Alibi Generation, Ben Sunshine-Hill, Norman I. Badler 2010 University of Pennsylvania

Perceptually Realistic Behavior Through Alibi Generation, Ben Sunshine-Hill, Norman I. Badler

Center for Human Modeling and Simulation

Real-time pedestrian simulation for open-world games involves aggressive behavior simplification and culling to keep computational cost under control, but it is diffficult to predict whether these techniques will become unrealistic in certain situations. We propose a method of perceptually simulating highly realistic pedestrian behavior in virtual cities in real- time. Designers build a highly realistic simulation, from which a perceptually identical “perceptual simulation” is generated. Although the perceptual simulation simulates only a small portion of the world at a time, and does so with inexpensive approximations, it can be statistically guaranteed that the results are perceptually indistinguishable from those of ...


Smart Events And Primed Agents, Catherine Stocker, Pengfei Huang, Norman I. Badler 2010 University of Pennsylvania

Smart Events And Primed Agents, Catherine Stocker, Pengfei Huang, Norman I. Badler

Center for Human Modeling and Simulation

We describe a new organization for virtual human responses to dynamically occurring events. In our approach behavioral responses are enumerated in the representation of the event itself. These Smart Events inform an agent of plausible actions to undertake. We additionally introduce the notion of agent priming, which is based on psychological concepts and further restricts and simplifies action choice. Priming facilitates multi-dimensional agents and in combination with Smart Events results in reasonable, contextual action selection without requiring complex reasoning engines or decision trees. This scheme burdens events with possible behavioral outcomes, reducing agent computation to evaluation of a case expression ...


Real-Time Evacuation Simulation In Mine Interior Model Of Smoke And Action, Pengfei Huang, Jinsheng Kang, Joseph T. Kider, Ben Sunshine-Hill, Jonathan B. McCaffrey, Desiree Velazquez Rios, Norman I. Badler 2010 University of Pennsylvania

Real-Time Evacuation Simulation In Mine Interior Model Of Smoke And Action, Pengfei Huang, Jinsheng Kang, Joseph T. Kider, Ben Sunshine-Hill, Jonathan B. Mccaffrey, Desiree Velazquez Rios, Norman I. Badler

Center for Human Modeling and Simulation

Virtual human crowd models have been used in the simulation of building and urban evacuation, but have not yet applied to underground coal mine operations and escape situations with emphasis on smoke, fires and physiological behaviors. We explore this through a real-time simulation model, MIMOSA (Mine Interior Model Of Smoke and Action), which integrates an underground coal mine virtual environment, a fire and smoke propagation model, and a human physiology and behavior model. Each individual agent has a set of physiological parameters as variables of time and environment, simulating a miner’s physiological condition during normal operations as well as ...


Spatial Isomorphisms Of Algebras Of Truncated Toeplitz Operators, William T. Ross, Stephan Ramon Garcia, Warren R. Wogen 2010 University of Richmond

Spatial Isomorphisms Of Algebras Of Truncated Toeplitz Operators, William T. Ross, Stephan Ramon Garcia, Warren R. Wogen

Math and Computer Science Faculty Publications

We examine when two maximal abelian algebras in the truncated Toeplitz operators are spatially isomorphic. This builds upon recent work of N. Sedlock, who obtained a complete description of the maximal algebras of truncated Toeplitz operators.


Dynamic Join Optimization In Multi-Hop Wireless Sensor Networks, Svilen Mihaylov, Marie Jacob, Zachary G. Ives, Sudipto Guha 2010 University of Pennsylvania

Dynamic Join Optimization In Multi-Hop Wireless Sensor Networks, Svilen Mihaylov, Marie Jacob, Zachary G. Ives, Sudipto Guha

Departmental Papers (CIS)

To enable smart environments and self-tuning data centers, we are developing the Aspen system for integrating physical sensor data, as well as stream data coming from machine logical state, and database or Web data from the Internet. A key component of this system is a query processor optimized for limited-bandwidth, possibly battery-powered devices with multiple hop wireless radio communications. This query processor is given a portion of a data integration query, possibly including joins among sensors, to execute. Several recent papers have developed techniques for computing joins in sensors, but these techniques are static and are only appropriate for specific ...


Expanding The Substantial Interactome Of Nemo Using Protein Microarrays., Beau J. Fenner, Michael Scannell, Jochen H M Prehn 2010 Royal College of Surgeons in Ireland

Expanding The Substantial Interactome Of Nemo Using Protein Microarrays., Beau J. Fenner, Michael Scannell, Jochen H M Prehn

Physiology and Medical Physics Articles

Signal transduction by the NF-kappaB pathway is a key regulator of a host of cellular responses to extracellular and intracellular messages. The NEMO adaptor protein lies at the top of this pathway and serves as a molecular conduit, connecting signals transmitted from upstream sensors to the downstream NF-kappaB transcription factor and subsequent gene activation. The position of NEMO within this pathway makes it an attractive target from which to search for new proteins that link NF-kappaB signaling to additional pathways and upstream effectors. In this work, we have used protein microarrays to identify novel NEMO interactors. A total of 112 ...


Genome-Scale Metabolic Analysis Of Clostridium Thermocellum For Bioethanol Production, Seth B. Roberts, Christopher M. Gowen, J. Paul Brooks, Stephen S. Fong 2010 Virginia Commonwealth University

Genome-Scale Metabolic Analysis Of Clostridium Thermocellum For Bioethanol Production, Seth B. Roberts, Christopher M. Gowen, J. Paul Brooks, Stephen S. Fong

Chemical and Life Science Engineering Publications

Background

Microorganisms possess diverse metabolic capabilities that can potentially be leveraged for efficient production of biofuels. Clostridium thermocellum (ATCC 27405) is a thermophilic anaerobe that is both cellulolytic and ethanologenic, meaning that it can directly use the plant sugar, cellulose, and biochemically convert it to ethanol. A major challenge in using microorganisms for chemical production is the need to modify the organism to increase production efficiency. The process of properly engineering an organism is typically arduous.

Results

Here we present a genome-scale model of C. thermocellum metabolism, iSR432, for the purpose of establishing a computational tool to study the ...


Annealing Temperature And Initial Iron Valence Ratio Effects On The Structural Characteristics Of Nanoscale Nickel Zinc Ferrite, S. Calvin, M. D. Schultz, L. Glowzenski, E. E. Carpenter 2010 Sarah Lawrence College

Annealing Temperature And Initial Iron Valence Ratio Effects On The Structural Characteristics Of Nanoscale Nickel Zinc Ferrite, S. Calvin, M. D. Schultz, L. Glowzenski, E. E. Carpenter

Chemistry Publications

Nickelzincferrite (NZFO) nanoparticles were synthesized via a reverse micelle method with a nonionic surfactant. Three different initial Fe3+/Fe2+ ratios were employed along with three different firing temperatures (200, 500, 1000 °C) to investigate the effects on the NZFO system. Extended x-rayabsorption fine structure (EXAFS) results reveal zinc loss at high annealing temperatures; at 1000 °C, the loss is nearly total for Fe3+/Fe2+ ratios other than 10:90. Annealing at 500 °C, however, appears necessary for fully incorporating the zinc and nickel into the spinel phase. The best nanoferrite was thus obtained using an initial Fe3+/Fe2+ ratio of ...


Localized Surface Plasmon Resonance Enhanced Magneto-Optical Activity In Core-Shell Fe-Ag Nanoparticles, L. Wang, K. Yang, C. Clavero, A. J. Nelson, K. J. Carroll, E. E. Carpenter, R. A. Lukaszew 2010 College of William and Mary

Localized Surface Plasmon Resonance Enhanced Magneto-Optical Activity In Core-Shell Fe-Ag Nanoparticles, L. Wang, K. Yang, C. Clavero, A. J. Nelson, K. J. Carroll, E. E. Carpenter, R. A. Lukaszew

Chemistry Publications

Metallic nanoparticles (NPs) are suitable platforms for miniaturized biosensing based on their optical and magneto-opticalproperties. It is possible to enhance the sensitivity of specific kinds of NPs by exploiting their optical and magneto-opticalproperties under suitable external magnetic field modulation. Here, the magneto-opticalproperties of Fe–Ag core-shell ferromagnet-noble metal NPs have been investigated as a function of the incident light frequency. For Fe–Ag NPs with a concentration ratio around 25:75, an optical absorption band centered at 3 eV due to localized surface plasmon resonance (LSPR) excitation is observed. A strong enhancement of the Faraday rotation is also observed, greatly ...


Dual Mode Nanoparticles: Cds Coated Iron Nanoparticles, F. N. Radwan, K. J. Carroll, E. E. Carpenter 2010 Virginia Commonwealth University

Dual Mode Nanoparticles: Cds Coated Iron Nanoparticles, F. N. Radwan, K. J. Carroll, E. E. Carpenter

Chemistry Publications

Reverse micelles can be used in a sequential fashion to make core-shell nanoparticles. Using this technique it is possible to make a magnetic quantum dot, by coating an iron core with a cadmium sulfide shell. Transmission electron microscopy indicated core-shell morphology and narrow size distribution of the obtained particles. Collectively, x-ray powder diffraction and x-ray photoelectron spectroscopy verified the presence of cadmium sulfide on the surface of the nanoparticles. Optical properties of the coated particles were demonstrated using fluorescence spectroscopy. A vibrating sample magnetometer was used to determine magnetic properties. Dual mode cadmium sulfide coatediron core-shell nanoparticles make unique candidates ...


Spectrally Tunable Magnetic Nanoparticles Designed For Distribution/Recollection Applications, Nicholas B. McDowall, James R. Wilkins, Kyler J. Carroll, Jarrod D. Edwards, Jean D. Nelson, Everett E. Carpenter, Garry P. Glaspell 2010 Virginia Commonwealth University, United States Army Engineer Research and Development Center

Spectrally Tunable Magnetic Nanoparticles Designed For Distribution/Recollection Applications, Nicholas B. Mcdowall, James R. Wilkins, Kyler J. Carroll, Jarrod D. Edwards, Jean D. Nelson, Everett E. Carpenter, Garry P. Glaspell

Chemistry Publications

The comprehensive goal of this research is the synthesis and characterization of nanomaterials that are spectrally tunable in terms of their electromagnetic signal, are robust, magnetic (allowing their piloted movement), and have the potential to be functionalized for the detection of CBRNE threats. Various chemical methods were utilized for synthesis of magnetic (iron) and luminescent rare earth (RE) components, and their mixtures. Effects of integrating an iron core into RE luminescent lattices (excited by UV, emit in the VIS) were investigated. The determination of the optimum balances between magnetic and luminescent components such that the magnetism was maximized while maintaining ...


High Magnetization Aqueous Ferrofluid: A Simple One-Pot Synthesis, Kyler J. Carroll, Michael D. Schultz, Panos P. Fatouros, Everett E. Carpenter 2010 Virginia Commonwealth University

High Magnetization Aqueous Ferrofluid: A Simple One-Pot Synthesis, Kyler J. Carroll, Michael D. Schultz, Panos P. Fatouros, Everett E. Carpenter

Chemistry Publications

A one-step polyol method was utilized to prepare a stable aqueous iron/iron oxide ferrofluid. The dried powders were characterized by x-ray diffraction, electron microscopy, x-ray absorption spectroscopy, and vibrating sample magnetometry for the determination of phase, morphology, and magnetic properties. To show its potential for imaging applications, the ferrofluid was also investigated as a magnetic resonance imaging contrast agent.


Annealing Of Amorphous Fexco100-X Nanoparticles Synthesized By A Modified Aqueous Reduction Using Nabh4, Kyler J. Carroll, Daniel M. Hudgins, L. W. Brown III, S. D. Yoon, D. Heiman, V. G. Harris, Everett E. Carpenter 2010 Virginia Commonwealth University

Annealing Of Amorphous Fexco100-X Nanoparticles Synthesized By A Modified Aqueous Reduction Using Nabh4, Kyler J. Carroll, Daniel M. Hudgins, L. W. Brown Iii, S. D. Yoon, D. Heiman, V. G. Harris, Everett E. Carpenter

Chemistry Publications

FexCo100−x nanoparticles were synthesized by aqueous reduction in iron (II) sulfate and cobalt (II) sulfate using sodium borohydride and sodium citrate. The initial concentrations of iron and cobalt were varied while maintaining an overall metal concentration of 4.60 mM. Increasing the cobalt content from 0 to 100 at. % decreased the magnetization saturation from 152 to 48 emu/g, as determined by room temperature vibrating sample magnetometry. Annealing the samples at 450 and 600 °C showed an increase in crystallite size. Powder x-ray diffraction and transmission electron microscopy was performed to determine the phases and morphology of the materials.


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