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Proceedings Of The 2009 Nrc Federal Facilities Council/James Madison University Symposium On Protecting Large Facility Complexes;, George Baker, Cheryl Wilkins 2010 James Madison University

Proceedings Of The 2009 Nrc Federal Facilities Council/James Madison University Symposium On Protecting Large Facility Complexes;, George Baker, Cheryl Wilkins

George H Baker

Large, complex facilities pose unique protection challenges involving multidisciplinary expertise and collaboration among government, academia, and the private sector. The symposium served as a forum for sharing experiences in dealing with large facility catastrophic events and risk management. The symposium was organized based on the value of interaction among different people representing diverse disciplines. In many instances, such interactions lead to solutions that would not have been developed within disciplinary stovepipes. The venue was divided into three panels addressing physical security, cyber security, and real facility case studies. We were also privileged to have three keynote speakers including Dr. Charles ...


Effect Of Different Percentages Of Adaptive Statistical Iterative Reconstruction On The Image Quality Of Low Dose 64 Slice Liver Mdct Exams, Lee Mitsumori, Orpheus Kolokythas, Kent Koprowicz, Alessio A, May Janet, Gunn M, Shuman William 2010 University of Washington - Seattle Campus

Effect Of Different Percentages Of Adaptive Statistical Iterative Reconstruction On The Image Quality Of Low Dose 64 Slice Liver Mdct Exams, Lee Mitsumori, Orpheus Kolokythas, Kent Koprowicz, Alessio A, May Janet, Gunn M, Shuman William

Kent M Koprowicz

Objective: To evaluate the effect of different percentages (0-100%) of adaptive statistical iterative reconstruction on the image quality of liver CT. Materials and Methods: Nineteen patients were scanned with a low-dose 64 slice liver CT technique where tube current modulation was set to achieve a 40% dose reduction (noise index 40) compared with a conventionalprotocol (noise index 30). A CT image reconstruction algorithm, adaptive statistical iterative reconstruction (ASIR), was applied to the raw data of the low dose scans to create image sets with 0, 30%, 50%, 70%, and 100% ASIR reconstructions. The image noise, sharpness, and diagnostic acceptability of ...


Introduction To Structural Equation Modeling, Deborah Bandalos 2010 James Madison University

Introduction To Structural Equation Modeling, Deborah Bandalos

Deborah L Bandalos

No abstract provided.


Cluster Solver For Dynamical Mean-Field Theory With Linear Scaling In Inverse Temperature, Ehsan Khatami, C. R. Lee, Z. J. Bai, R. T. Scalettar, M. Jarrell 2010 University of Cincinnati

Cluster Solver For Dynamical Mean-Field Theory With Linear Scaling In Inverse Temperature, Ehsan Khatami, C. R. Lee, Z. J. Bai, R. T. Scalettar, M. Jarrell

Ehsan Khatami

Dynamical mean-field theory and its cluster extensions provide a very useful approach for examining phase transitions in model Hamiltonians and, in combination with electronic structure theory, constitute powerful methods to treat strongly correlated materials. The key advantage to the technique is that, unlike competing real-space methods, the sign problem is well controlled in the Hirsch-Fye (HF) quantum Monte Carlo used as an exact cluster solver. However, an important computational bottleneck remains; the HF method scales as the cube of the inverse temperature, β. This often makes simulations at low temperatures extremely challenging. We present here a method based on determinant ...


Quantum Criticality Due To Incipient Phase Separation In The Two-Dimensional Hubbard Model, Ehsan Khatami, K. Mikelsons, D. Galanakis, A. Macridin, J. Moreno, R. T. Scalettar, M. Jarrell 2010 Louisiana State University

Quantum Criticality Due To Incipient Phase Separation In The Two-Dimensional Hubbard Model, Ehsan Khatami, K. Mikelsons, D. Galanakis, A. Macridin, J. Moreno, R. T. Scalettar, M. Jarrell

Ehsan Khatami

We investigate the two-dimensional Hubbard model with next-nearest-neighbor hopping, t′, using the dynamical cluster approximation. We confirm the existence of a first-order phase-separation transition terminating at a second-order critical point at filling nc(t′) and temperature Tps(t′). We find that as t′ approaches zero, Tps(t′) vanishes and nc(t′) approaches the filling associated with the quantum critical point separating the Fermi liquid from the pseudogap phase. We propose that the quantum critical point under the superconducting dome is the zero-temperature limit of the line of second-order critical points.


Reducing The Impact Of Ethnic Tensions On Economic Growth – Economic Or Political Institutions?, Atin Basu Choudhary, Jim Bang, Michael Reksulak 2010 Virginia Military Institute

Reducing The Impact Of Ethnic Tensions On Economic Growth – Economic Or Political Institutions?, Atin Basu Choudhary, Jim Bang, Michael Reksulak

Atin Basu Choudhary

We use a standard growth regression model and show that ethnic tensions reduce per capita growth rates. We also find evidence that “good” economic and political institutions improve per capita growth rates. More importantly, good economic institutions mitigate the effect of ethnic tensions on per capita growth while good political institutions do not. Consequently, it is foremost capitalist freedom that promotes peace and development.


The Costs Of Residential Water Scarcity In Cyprus: Impact Of Climate Change And Policy Options, Theodoros Zachariadis 2010 Cyprus University of Technology

The Costs Of Residential Water Scarcity In Cyprus: Impact Of Climate Change And Policy Options, Theodoros Zachariadis

Theodoros Zachariadis

This paper presents an assessment of the costs of water scarcity in Cyprus, today and in the next twenty years, accounting also for the effect of projected climate change in the region. We focus on the residential sector, accounting also for tourism and industry. Using a simple demand function we first compute total scarcity costs in Cyprus for the entire period 2010¡V2030 for three scenarios of future water demand. Our central estimate shows that the present value of total costs due to water shortages in this period will amount to 72 million Euros (at 2009 prices), and if future ...


Idaho Bird Observatory: Research, Education, Conservation - 24/7, Elise Faike 2010 Selected Works

Idaho Bird Observatory: Research, Education, Conservation - 24/7, Elise Faike

Jay D. Carlisle

The Idaho Bird Observatory’s Lucky Peak bird monitoring station atop the foothills overlooking Boise is unique. During fall migration, it’s the only place in western North America that hosts some form of songbird or raptor research all day and all night—for downright fun 24/7!


Understanding The Scalability Of Bayesian Network Inference Using Clique Tree Growth Curves, Ole J. Mengshoel 2010 Carnegie Mellon University

Understanding The Scalability Of Bayesian Network Inference Using Clique Tree Growth Curves, Ole J. Mengshoel

Ole J Mengshoel

One of the main approaches to performing computation in Bayesian networks (BNs) is clique tree clustering and propagation. The clique tree approach consists of propagation in a clique tree compiled from a BN, and while it was introduced in the 1980s, there is still a lack of understanding of how clique tree computation time depends on variations in BN size and structure. In this article, we improve this understanding by developing an approach to characterizing clique tree growth as a function of parameters that can be computed in polynomial time from BNs, specifically: (i) the ratio of the number of ...


2010 Pacific Undergraduate Research And Creativity Conference (Purcc) Full Program, Pacific Undergraduate Research and Creativity Conference (PURCC) 2010 University of the Pacific

2010 Pacific Undergraduate Research And Creativity Conference (Purcc) Full Program, Pacific Undergraduate Research And Creativity Conference (Purcc)

Pacific Undergraduate Research and Creativity Conference (PURCC)

No abstract provided.


Household Compost In Rock Island, Scott J. Fick 2010 Augustana College - Rock Island

Household Compost In Rock Island, Scott J. Fick

Tredway Library Prize for First-Year Research

No abstract provided.


Peerless Forming Die Test Press: Hydraulic Motion Control System, Gary Atchison 2010 Indiana University - Purdue University Fort Wayne

Peerless Forming Die Test Press: Hydraulic Motion Control System, Gary Atchison

Computer and Electrical Engineering Technology & Information Systems and Technology Senior Design Projects

No abstract provided.


"Green" Water Heater Upgrade: Using Insteon Electronic Control Systems, Brad McCleary 2010 Indiana University - Purdue University Fort Wayne

"Green" Water Heater Upgrade: Using Insteon Electronic Control Systems, Brad Mccleary

Computer and Electrical Engineering Technology & Information Systems and Technology Senior Design Projects

No abstract provided.


Electric Induction Heating For Hot Water System, Jeremy Yoder 2010 Indiana University - Purdue University Fort Wayne

Electric Induction Heating For Hot Water System, Jeremy Yoder

Computer and Electrical Engineering Technology & Information Systems and Technology Senior Design Projects

No abstract provided.


Arc Fault Sensing Device: Residential Testing Scenario, Jason A. Bender 2010 Indiana University - Purdue University Fort Wayne

Arc Fault Sensing Device: Residential Testing Scenario, Jason A. Bender

Computer and Electrical Engineering Technology & Information Systems and Technology Senior Design Projects

No abstract provided.


A Hybrid Genetic Algorithm For The Student-Aware University Course Timetabling Problem, Ernesto Ferrer Queiros Nunez 2010 Macalester College

A Hybrid Genetic Algorithm For The Student-Aware University Course Timetabling Problem, Ernesto Ferrer Queiros Nunez

Mathematics, Statistics, and Computer Science Honors Projects

Traditionally, academic institutions schedule courses using constraints that ensure that instructors and courses do not overlap in available rooms and time periods; students' planning needs are rarely taken into account. This problem becomes particularly acute for students in liberal arts institutions, because they have multiple graduation requirements in addition to their chosen academic program. My research builds on the University Course Timetabling Problem (UCTP) to include students' scheduling needs. This approach to the UCTP problem uses a combination of a genetic algorithm and case-based reasoning.

To improve the performance of the genetic algorithm, I use a group-based genetic algorithm to ...


College Of Engineering Senior Design Competition Spring 2010, University of Nevada, Las Vegas 2010 University of Nevada, Las Vegas

College Of Engineering Senior Design Competition Spring 2010, University Of Nevada, Las Vegas

Senior Projects (COE)

Each student in his or her senior year chooses, plans, designs, and prototypes a product in this required element of the curriculum. The senior design project encourages the student to use everything learned in the engineering program to create a practical, real-world solution to an engineering challenge.

A highlight of the year-long senior design project is the senior design competition. This competition, which usually takes place the week before finals each semester, helps focus the senior students on increasing the quality and potential for commercial application for their design projects.

Judges from local industry evaluate the projects on innovation, commercial ...


Joint Fire Science Program – Lake Mead National Recreation Area Revegetating Burned Arid Lands: Identifying Successful Native Species Using Trait And Competition Analysis: Quarterly Progress Report, Time Period: January 1 — April 30, 2010, Margaret N. Rees 2010 University of Nevada, Las Vegas

Joint Fire Science Program – Lake Mead National Recreation Area Revegetating Burned Arid Lands: Identifying Successful Native Species Using Trait And Competition Analysis: Quarterly Progress Report, Time Period: January 1 — April 30, 2010, Margaret N. Rees

Fire Science

  • Article entitled “Competitive Hierarchy of Native Desert Plants with Red Brome (Bromus rubens): Towards Identifying Invasion-Reducing Species" was submitted to the Invasive Plant Science and Management journal
  • Maintained nursery plots and added installment of nitrogen treatment.
  • Took measurements in nursery (competition) plots and harvested biomass.


Effective Theory Approach To The Spontaneous Breakdown Of Lorentz Invariance, Christian Armendariz-Picon, Alberto Diez-Tejedor, Riccardo Penco 2010 Department of Physics, Syracuse University, Syracuse, NY

Effective Theory Approach To The Spontaneous Breakdown Of Lorentz Invariance, Christian Armendariz-Picon, Alberto Diez-Tejedor, Riccardo Penco

Physics

We generalize the coset construction of Callan, Coleman, Wess and Zumino to theories in which the Lorentz group is spontaneously broken down to one of its subgroups. This allows us to write down the most general low-energy effective Lagrangian in which Lorentz invariance is non-linearly realized, and to explore the consequences of broken Lorentz symmetry without having to make any assumptions about the mechanism that triggers the breaking. We carry out the construction both in flat space, in which the Lorentz group is a global spacetime symmetry, and in a generally covariant theory, in which the Lorentz group can be ...


Financial Time Series Forecasting With Machine Learning Techniques: A Survey, Bjoern Krollner, Bruce Vanstone, Gavin Finnie 2010 Bond University

Financial Time Series Forecasting With Machine Learning Techniques: A Survey, Bjoern Krollner, Bruce Vanstone, Gavin Finnie

Information Technology papers

Stock index forecasting is vital for making informed investment decisions. This paper surveys recent literature in the domain of machine learning techniques and artificial intelligence used to forecast stock market movements. The publications are categorised according to the machine learning technique used, the forecasting timeframe, the input variables used, and the evaluation techniques employed. It is found that there is a consensus between researchers stressing the importance of stock index forecasting. Artificial Neural Networks (ANNs) are identified to be the dominant machine learning technique in this area. We conclude with possible future research directions.


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