Physical Sciences and Mathematics Commons^™

Meson Mass Decomposition From Lattice Qcd, Yi-Bo Yang, Ying Chen, Terrence Draper, Ming Gong, Keh-Fei Liu, Zhaofeng Liu, Jian-Ping Ma

Physics and Astronomy Faculty Publications

Hadron masses can be decomposed as a sum of quark and glue components that are defined through hadronic matrix elements of QCD operators. The components consist of the quark mass term, the quark energy term, the glue energy term, and the trace anomaly term. We calculate these components for mesons with lattice QCD for the first time. The calculation is carried out with overlap fermion on 2+1 flavor domain-wall fermion gauge configurations. We confirm that ~50% of the light pion mass comes from the quark mass term and ~10% comes from the quark energy; whereas, for the ρ meson, the …

Cost-Availability Curves For Hierarchical Implementation Of Residential Energy-Efficiency Measures, Roman Villoria-Siegert, Philip Brodrick, Kevin P. Hallinan, Robert J. Brecha

Physics Faculty Publications

Historical residential electricity data and natural gas consumption data were collected for, respectively, 1,200 and 178 residences in a small town in the USA. These data were merged with local building and weather databases, and energy consumption models were developed for each residence, revealing substantial variation in heating and cooling intensity. After estimating approximate physical building characteristics, energy profiles for each residence were calculated, and savings from adoption of the most cost-effective energy-efficiency measures for each residence were estimated. Effectively, we wish to leverage commonly available data sets to infer characteristics of building envelopes and equipment, without the need for …

Gaussian Weighted Neighborhood Connectivity Of Nonlinear Line Attractor For Learning Complex Manifolds, Theus H. Aspiras, Vijayan K. Asari, Wesam Sakla

Electrical and Computer Engineering Faculty Publications

The human brain has the capability to process high quantities of data quickly for detection and recognition tasks. These tasks are made simpler by the understanding of data, which intentionally removes redundancies found in higher dimensional data and maps the data onto a lower dimensional space. The brain then encodes manifolds created in these spaces, which reveal a specific state of the system. We propose to use a recurrent neural network, the nonlinear line attractor (NLA) network, for the encoding of these manifolds as specific states, which will draw untrained data towards one of the specific states that the NLA …

A Robust Fringe-Adjusted Joint Transform Correlator For Efficient Object Detection, Paheding Sidike, Vijayan K. Asari, Mohammad S. Alam

Electrical and Computer Engineering Faculty Publications

The fringe-adjusted joint transform correlation (FJTC) technique has been widely used for real-time optical pattern recognition applications. However, the classical FJTC technique suffers from target distortions due to noise, scale, rotation and illumination variations of the targets in input scenes. Several improvements of the FJTC have been proposed in the literature to accommodate these problems. Some popular techniques such as synthetic discriminant function (SDF) based FJTC was designed to alleviate the problems of scale and rotation variations of the target, whereas wavelet based FJTC has been found to yield better performance for noisy targets in the input scenes. While these …

2015 (Spring), University Of Dayton. Department Of Mathematics

Colloquia

Abstracts of the talks given at the 2015 Spring Colloquium.

Garbage Collector, Greg Lohrman, Alexis Zakala

Computer Science Undergraduate

No abstract provided.

Network Inventory Application, Aaron M. Resch, Matthew Begley

Computer Science Undergraduate

No abstract provided.

Saberlytics Software Suite, Dylan Hallagan, Cody Thomas

Computer Science Undergraduate

No abstract provided.

Superhero Camp, Ben Fennell, Matthew Czajka

Computer Science Undergraduate

No abstract provided.

Sawmill Slough Preserve Expansion Proposal 2015, Unf Environmental Center, Unf Sustainability Committee

Professional Presentations

The Sawmill Slough Preserve is a living laboratory which not only promotes student and faculty research and education, but also, serves as a safe harbor and protects a unique biodiversity within a developing urban island environment. Many students choose UNF not just for the academic environment, but for the surrounding natural environment as well. The natural habitats and wildlife that reside on campus foster education and greatly enhance the experience of UNF students. The recommended expansion areas are fundamental in fulfilling the mission of the Preserve to encourage natural biodiversity, and the values of the University, such as “community engagement” …

2015 Annual Research Symposium Abstract Book, Trinity College, Hartford Connecticut

Science Symposia Abstracts

2015 annual volume of abstracts for science research projects conducted by students at Trinity College

Bytes Of Π, Spring 2015, Department Of Mathematics, Bridgewater State University

Department of Mathematics Newsletter

No abstract provided.

Evaluating Animal Agriculture Impacts On Water Quality: Data Gaps In West Central Minnesota Case Study, Ed Brands

Environmental Studies Publications

Balancing the economic and food system contributions of animal agriculture with negative impacts such as water quality degradation has been a recurring question in Minnesota and other agricultural states (e.g., Iowa and North Carolina). Over the past 15 years significant federal- and state-level changes in the regulation of animal feeding operations (AFOs) and associated practices have attempted to improve water quality. The impacts of these changes are unclear; therefore, the main purpose of this project was to evaluate policies designed to protect water quality from manure runoff and spills within the context of a manageable geographic area. Project work was …

Developing Beginner-Friendly Programming Error Messages, Aaron D. Lemmon, Emma Sax, Paul A. Schliep

Undergraduate Research Symposium 2015

The motivation for our work is to introduce a recently developed programming language, Clojure, in a beginner computer science (CSci) class at the University of Minnesota, Morris. Clojure is an industryaccepted programming language that provides significant benefits for beginner programmers, such as focus on a functional approach to programming which, in UMM experience, provides a good foundation for subsequent CSci curriculum. Learning Clojure in an introductory class opens opportunities for students to collaborate on numerous worldwide projects, as well as take advantage of improvements in modern computing hardware. However, Clojure is challenging to use because of its complicated handling of …

Synthetic Methods Of Cts And Czts Nanocrystals, Rachel R. Bohling, Michael M. Davis, Blake J. Gerold, Ted M. Pappenfus

Undergraduate Research Symposium 2015

The synthesis of various morphologies of copper zinc tin sulfide (Cu2ZnSnS4) and copper tin sulfide (Cu2SnS3) nanocrystals were explored to find a more energy efficient synthesis. Reactions were all carried out at 220°C under either inert atmospheres or normal conditions. Variations in synthetic methods included reaction time and solvents used. Products were analyzed with powder X-Ray diffraction and compared to simulated powder patterns of zincblende and wurtzite nanocrystals. The synthesis of CTS nanocrystals required the reaction to be heated to 220°C overnight under an inert atmosphere. The reaction used for the synthesis of CZTS nanocrystals required less energy and only …

Modification Of Mof-5 Hydrostability For Peptide Absorption Studies, Margareta E. Nivision, Zachary L. Mensinger

Undergraduate Research Symposium 2015

Metal-organic frameworks (MOFs) are an intriguing class of hybrid materials that consist of infinite crystalline lattices formed by metal ions bridged by organic linkers. Their porous interiors have highly variable properties, depending on the metal ions and linkers used. To date, MOFs have primarily been examined for uses such as gas separation and storage and catalysis, but recently researchers have described the adsorption of proteins and peptides, such as cytochrome C and a trypsin digest of bovine serum albumin, in MOF pores. The MOF pore provides a stable, ordered environment in which to isolate and characterize peptides. Our research thus …

Aquatic Macroinvertebrate Diversity Within An Urbanized Gradient, Brian E. Lovejoy Jr., Jacob Torres

Urban Watershed Project

No abstract provided.

Topological Manifolds, Grant Wilson

Thinking Matters Symposium Archive

Topological Manifolds are abstract spaces that locally resemble Euclidean space. For example, consider a round globe and a flat map. The map is a 2-dimensional representation of a 3-dimensional space. Given any point on the globe we can find a corresponding position on the map, and vice versa. This correspondence is called a chart. With a sufficient number of charts, we can describe the whole space. Such a collection of charts is called an Atlas. It is possible to construct different Atlases for the same space, allowing us to move from one chart, to the space, to another chart. This …

An Outdoor Classroom To Improve The Student Experience And Connect The Community, Chelsea Malacara

Thinking Matters Symposium Archive

An opportunity to learn outdoors unites students to their surroundings and closes the gap between human and nature. Outdoor spaces contribute to ecological literacy and are critical to a well-rounded education. The University of Southern Maine community places emphasis on environmental stewardship through classroom instruction and campus projects. The Gorham campus has 9 acres of wooded area plus unused greenspace. I am proposing the construction of an outdoor classroom. The proposal will include interviews from various stakeholders, a site assessment, and a digital and 3D model of the outdoor classroom that will be created per the Site Planning and Design …

Remote Sensing Of Beachrock And Other Geomorphological Indicators Of Sea-Level Rise On Lesvos, Greece, Frankie St. Amand

Thinking Matters Symposium Archive

While research has shown the possibility of seafloor mapping at depths of up to 30m, a number of factors restrict exploration of bathymetry such as pixel size, sun azimuth, season, water turbidity and suspended sediments, as well as seafloor topography13. Though the 30m composite images of Lesvos were able to penetrate shallow water to expose submerged features, pixel size prevented mapping of beachrock outcrops because they couldn’t be differentiated from other sediments or underwater features. Higher resolution aerial images enabled accurate beachrock mapping. These images were obtained by a helicopter but increasingly, remote drones are a cost effective way of …

Accuracy Of Optical Character Recognition Software Google Tesseract, Joshua A. Suitter

Thinking Matters Symposium Archive

Tesseract is an open-source OCR (Optical Character Recognition) softwareengine originally developed by HP between 1985 and 1995, it is now sponsored by Google Projects (Google Tesseract). While Tesseract is known as one of the most accurate free OCR enginesavailable today, it has numerous limitations that dramatically affect its performance; its ability to correctly recognize characters in a scan or image. During my research I have found that certain fonts are accepted more than others, and font size, spacing, and image quality all play a role in how Tesseract performs. In this project, I will also be looking into Wolfram’s Mathematica …

An Investigation To Remotely Sense Mineral Leeching Through Soils, Paul C. Shaffer

Thinking Matters Symposium Archive

Satellite data on Earth's surface provide a wealth of information on landscape conditions. I use Landsat data to determine an important geologic process that influences the composition of the soils. My project focusses on the experimental hypothesis that we can use plant vigor as a proxy to document mineral washing downslopes through soils. I constructed a Normalized Difference Vegetation Index (NDVI) composite image from Landsat data to help assess vegetation heath in my target location - a national park south of Mount St. Helens. This location was selected because of its steep inclines, dense undisturbed vegetation, and fertile soils. It …

The Truman Show: Scalable Generation Of Artificial Network Traffic For Cyber Security Research, Adam Wirth

Thinking Matters Symposium Archive

Network traffic generation is a key component of the creation of a network simulation environment. In order to create a realistic simulation of a large scale network in action, it is necessary to have a large volume of user traffic. Past methods for providing user traffic, such as hiring users to manually generate traffic, or recording existing traffic of an active network, provide limited control. Managing and directing users is time consuming, and using existing traffic is restricted by recorded conditions. The Truman Show project provides an infinitely adjustable alternative by utilizing agent based modeling of individual users. An agent …

Inside Out: Properties Of The Klein Bottle, Andrew Pogg, Jennifer Daigle, Deirdra Brown

Thinking Matters Symposium Archive

A Klein Bottle is a two-dimensional manifold in mathematics that, despite appearing like an ordinary bottle, is actually completely closed and completely open at the same time. The Klein Bottle, which can be represented in three dimensions with self-intersection, is a four dimensional object with no intersection of material. In this presentation we illustrate some topological properties of the Klein Bottle, use the Möbius Strip to help demonstrate the construction of the Klein Bottle, and use mathematical properties to show that the Klein Bottle intersection that appears in ℝ3 does not exist in ℝ4. Introduction: Topology

Affect And Online Privacy Concerns, David Charles Castano

CCE Theses and Dissertations

The purpose of this study was to investigate the influence of affect on privacy concerns and privacy behaviors. A considerable amount of research in the information systems field argues that privacy concerns, usually conceptualized as an evaluation of privacy risks, influence privacy behaviors. However, recent theoretical work shows that affect, a pre-cognitive evaluation, has a significant effect on preferences and choices in risky situations. Affect is contrasted with cognitive issues in privacy decision making and the role of affective versus cognitive-consequentialist factors is reviewed in privacy context.

A causal model was developed to address how affect influences privacy concerns and …

Partition Density Functional Theory, Jonathan R. Nafziger

Open Access Dissertations

Partition density functional theory (PDFT) is a method for dividing a molecular electronic structure calculation into fragment calculations. The molecular density and energy corresponding to Kohn Sham density-functional theory (KS-DFT) may be exactly recovered from these fragments. Each fragment acts as an isolated system except for the influence of a global one-body 'partition' potential which deforms the fragment densities. In this work, the developments of PDFT are put into the context of other fragment-based density functional methods. We developed three numerical implementations of PDFT: One within the NWChem computational chemistry package using basis sets, and the other two developed from …

The Effect Of Macromolecular Crowding On The Structure Of The Protein Complex Superoxide Dismutase, Ajith Rathnaweera Rajapaksha Mudalige

Open Access Dissertations

Biological environments contain between 7 - 40% macromolecules by volume. This reduces the available volume for macromolecules and elevates the osmotic pressure relative to pure water. Consequently, biological macromolecules in their native environments tend to adopt more compact and dehydrated conformations than those in vitro. This effect is referred to as macromolecular crowding and constitutes an important physical difference between native biological environments and the simple solutions in which biomolecules are usually studied.^ We used small angle scattering (SAS) to measure the effects of macromolecular crowding on the size of a protein complex, superoxide dismutase (SOD). Crowding was induced using …

Overcoming Uncertainty For Within-Network Relational Machine Learning, Joseph J. Pfeiffer

Open Access Dissertations

People increasingly communicate through email and social networks to maintain friendships and conduct business, as well as share online content such as pictures, videos and products. Relational machine learning (RML) utilizes a set of observed attributes and network structure to predict corresponding labels for items; for example, to predict individuals engaged in securities fraud, we can utilize phone calls and workplace information to make joint predictions over the individuals. However, in large scale and partially observed network domains, missing labels and edges can significantly impact standard relational machine learning methods by introducing bias into the learning and inference processes. In …

Ergodic Properties Of Countable Extensions, Samuel Joshua Roth

Open Access Dissertations

First, we study countably piecewise continuous, piecewise monotone interval maps. We establish a necessary and sufficient criterion for the existence of a non-decreasing semiconjugacy to an interval map of constant slope in terms of the existence of an eigenvector of an operator acting on a space of measures. Then we give examples, both Markov and non-Markov, for which the criterion is violated. ^ Next, we establish a criterion for the existence of a constant slope map on the extended real line conjugate to a given countably piecewise monotone interval map. We require the given interval map to be continuous, Markov, …

Architectural Techniques To Extend Multi-Core Performance Scaling, Hamza Bin Sohail

Open Access Dissertations

Multi-cores have successfully delivered performance improvements over the past decade; however, they now face problems on two fronts: power and off-chip memory bandwidth. Dennard's scaling is effectively coming to an end which has lead to a gradual increase in chip power dissipation. In addition, sustaining off-chip memory bandwidth has become harder due to the limited space for pins on the die and greater current needed to drive the increasing load . My thesis focuses on techniques to address the power and off-chip memory bandwidth challenges in order to avoid the premature end of the multi-core era. ^ In the first …