Digital Commons Network^™

A Novel Microfluidic Enrichment Technique For Carbonylated Proteins, Bryant C. Hollins

Doctoral Dissertations

Proteins are the building blocks of cells in living organisms, and are composed of amino acids. The expression of proteins is regulated by the processes of transcription and translation. Proteins undergo post-translational modifications in order to dictate their role physiologically within a cell.

Not all post-translational modifications are beneficial for the protein or the cell. One type of post-translational modification, called carbonylation, irreversibly places a carbonyl group onto an amino acid residue, most commonly proline, lysine, arginine, and threonine. This modification can have severe consequences physiologically, including loss of solubility, loss of function, and protein aggregation.

Carbonylated proteins have commonly …

Educator's Perceptions Of The Implementation And Effectiveness Of Response To Intervention Measures, Sheila Stepp Nugent

Doctoral Dissertations

The purpose of this study was to investigate teachers' and administrators' perceptions of the implementation and effectiveness of Response to Intervention (RTI) strategies in their schools. The study used a mixed-methods research design. Data were collected through multiple-choice and open-ended surveys administered to elementary English language arts general education teachers, special education teachers in Kindergarten through fifth grade, and administrators in seven elementary schools. Quantitative data were analyzed using the Mann-Whitney U and Kruskal-Wallis Analysis of Variance of Ranks. Qualitative data were analyzed by the researcher to determine similarities and differences among the written responses. All data were gathered during …

Adaptive Grid Based Localized Learning For Multidimensional Data, Sheetal Saini

Doctoral Dissertations

Rapid advances in data-rich domains of science, technology, and business has amplified the computational challenges of "Big Data" synthesis necessary to slow the widening gap between the rate at which the data is being collected and analyzed for knowledge. This has led to the renewed need for efficient and accurate algorithms, framework, and algorithmic mechanisms essential for knowledge discovery, especially in the domains of clustering, classification, dimensionality reduction, feature ranking, and feature selection. However, data mining algorithms are frequently challenged by the sparseness due to the high dimensionality of the datasets in such domains which is particularly detrimental to the …

Oscillator-Based Neuronal Modeling For Seizure Progression Investigation And Seizure Control Strategy, Wu Chen

Doctoral Dissertations

The coupled oscillator model has previously been used for the simulation of neuronal activities in in vitro rat hippocampal slice seizure data and the evaluation of seizure suppression algorithms. Each model unit can be described as either an oscillator which can generate action potential spike trains without inputs, or a threshold-based unit. With the change of only one parameter, each unit can either be an oscillator or a threshold-based spiking unit. This would eliminate the need for a new set of equations for each type of unit. Previous analysis has suggested that long kernel duration and imbalance of inhibitory feedback …

Real-Time Analysis Of Brain Tumor Cell Dynamics: Novel Thermoelectric Detection Of L-Glutamate And Cell Metabolism Using Microfluidics, Siva Mahesh Tangutooru

Doctoral Dissertations

This study describes the design, fabrication and applications of a novel thermoelectric microfluidic bio-sensor. The bio-sensor is used for real time detection of the L-glutamate (L-glu) dynamics and metabolism for brain tumor cells immobilized in a microfluidic device. The microfluidic device is fabricated using a polymer/glass laminating technique (Xurography). An antimony-bismuth thin-film thermopile (primary sensing element) is integrated to the microfluidic device. The brain tumor cells are immobilized over the thermopile covering measuring and reference junctions of the thermopile using a poly-l-lysine coating layer. L-glutamate oxidase (L-GLOD) is immobilized over the measuring junctions of the thermopile prior to the immobilization …

Low Power Data Acquisition For Microimplant Biometric Monitoring Of Tremors, Tania Khanna '01

Doctoral Dissertations

In recent years, trends in the medical industry have created a growing demand for implantable medical devices. In particular, the need to provide doctors a means to continuously monitor biometrics over long time scales with increased precision is paramount to efficient healthcare. To make medical implants more attractive, there is a need to reduce their size and power consumption. Small medical implants would allow for less invasive procedures, greater comfort for patients, and increased patient compliance. Reductions in power consumption translate to longer battery life. The two primary limitations to the size of small medical implants are the batteries that …

Ads/Cft In String Theory And M-Theory, Daniel R. Gulotta '03

Doctoral Dissertations

The AdS/CFT correspondence is a powerful tool that can help shed light on the relationship between geometry and field theory.

The first part of this thesis will focus on the construction of theories dual to Type IIB string theory on AdS₅ x Y⁵, where Y⁵ is a toric Sasaki-Einstein manifold. This thesis will introduce a consistency condition called "proper ordering" and demonstrate that it is equivalent to several other previously known consistency conditions. It will then give an efficient algorithm that produces a consistent field theory for any toric Sasaki-Einstein Y⁵.

The second part …

Reliability Models For Hpc Applications And A Cloud Economic Model, Thanadech Thanakornworakij

Doctoral Dissertations

With the enormous number of computing resources in HPC and Cloud systems, failures become a major concern. Therefore, failure behaviors such as reliability, failure rate, and mean time to failure need to be understood to manage such a large system efficiently.

This dissertation makes three major contributions in HPC and Cloud studies. First, a reliability model with correlated failures in a k-node system for HPC applications is studied. This model is extended to improve accuracy by accounting for failure correlation. Marshall-Olkin Multivariate Weibull distribution is improved by excess life, conditional Weibull, to better estimate system reliability. Also, the univariate …

The Study Of Pt Dependence Of Dijet Azimuthal Decorrelations In Proton-Proton Collision At Center Of Mass Energy = 7 Tev, Ramasudhakar Dhullipudi

Doctoral Dissertations

The transverse momentum (pT) dependence of azimuthal decorrelations in dijet events is studied with data collected, at an integrated luminosity of [special characters omitted] dt = (36 ± 4) pb−1, from collisions between protons at a center of mass energy of [special characters omitted] = 7 TeV using the ATLAS detector at the Large Hadron Collider. The results of the analysis of jets in a central rapidity of |y| < 0.8 and pT in the range 60 GeV < pT < 1200 GeV are presented. A new observable RΔ&phis;, defined as the fraction of the total dijet cross section corresponding to a particular range of …

Study Of Jet Transverse Momentum And Jet Rapidity Dependence Of Dijet Azimuthal Decorrelations With The Dø Detector, Kiran Chakravarthula

Doctoral Dissertations

In a collision experiment involving highly energetic particles such as hadrons, processes at high momentum transfers can provide information useful for many studies involving Quantum Chromodynamics (QCD). One way of analyzing these interactions is through angular distributions. In hadron-hadron collisions, the angular distribution between the two leading jets with the largest transverse momentum (pT) is affected by the production of additional jets. While soft radiation causes small differences in the azimuthal angular distribution of the two leading jets produced in a collision event, additional hard jets produced in the event have more pronounced influence on the distribution of …

Event Shapes In Proton-Proton Collisions At Center Of Mass Energy = 1.96 Tev, Scott Atkins

Doctoral Dissertations

This dissertation presents the analysis of nine different event shapes measured in high energy pp¯ collisions. An event shape can be defined as an event-based quantity that measures how the final energies are distributed in the final event. This analysis will test strong interactions as described by Quantum Chromodynamics (QCD), through their implementation in different Monte Carlo-based models. Each of the event shapes provides information about the flow of energy in QCD events and about the hadronic final states that occur in pp¯ particle collisions, thus allowing the study of the dynamics of QCD multijet events. Any deviation of an …

Effects Of Gender Composition Of Target And Sender Dyads On The Tendency To Infer Lies, Byron J. Simoneaux

Doctoral Dissertations

Lying is so common in human behavior that some have labeled it a social skill. Despite the ubiquity of lies, humans have consistently been found to be poor lie detectors. Attempts have been made to improve the accuracy of human lie detection. Unfortunately, the most successful training only improves accuracy slightly above the level of chance. Because of its importance to society, considerable effort has been aimed at developing methods to help determine when people are lying. Researching how and why humans infer that another person is lying has the potential to advance the understanding of lie detection. Researchers have …

The Effects Of Training In Self-Regulated Learning And Achievement Orientations In Lower Socioeconomic Elementary Students, Ashley N. Carroll

Doctoral Dissertations

Previous research has explored the development of the self-regulated learner. The majority of these studies have focused on high school and college students (Hofer & Yu, 2003). This study explored this concept at the elementary school level with lower socioeconomic students. This study was designed to determine the effectiveness of a short intervention teaching self-regulatory and metacognitive learning strategies to these elementary students. The researcher designed a learning intervention for fifth-grade students that included various cognitive strategies and study skills. The intervention group was compared to a control group of fifth-graders. The students' self-efficacy, self-regulation, and achievement orientation were assessed …

Nanowire Giant Magnetoresistance Thin Films For Magnetic Sensors, Bryan Cox

Doctoral Dissertations

This dissertation details a novel method to fabricate magnetic sensors using nanowire giant magnetoresistance (GMR) thin films. In 1988, Albert Fert and Peter Grünberg both independently discovered a new physical phenomenon called GMR. GMR is a quantum mechanical effect found in thin film materials that are composed of alternating nanoscale ferromagnetic and non-magnetic conductive layers. When a GMR material is in the presence of a magnetic field, a change in electrical resistance is observed. The GMR effect has been utilized to produce magnetic sensors that have been used in a variety of applications, such as computer hard drive read heads, …

Numerical Simulation Of Nanopulse Penetration Of Biological Matter Using The Adi-Fdtd Method, Fei Zhu

Doctoral Dissertations

Nanopulses are ultra-wide-band (UWB) electromagnetic pulses with pulse duration of only a few nanoseconds and electric field amplitudes greater than 105 V/m. They have been widely used in the development of new technologies in the field of medicine. Therefore, the study of the nanopulse bioeffects is important to ensure the appropriate application with nanopulses in biomedical and biotechnological settings. The conventional finite-difference time-domain (FDTD) method for solving Maxwell's equations has been proven to be an effective method to solve the problems related to electromagnetism. However, its application is restricted by the Courant, Friedrichs, and Lewy (CFL) stability condition that confines …

The Relationship Between Teacher Absenteeism And Fourth-Grade Student Mathematical Achievement, Charles Michael Brouillette

Doctoral Dissertations

Within public schools throughout the United States, an emphasis has been placed on improving education for all students. In turn, this has resulted in legislators and policymakers placing an emphasis on assessing student learning and holding the education community accountable. In this study, the researcher examined one variable in the accountability effort: teacher absenteeism. The major purpose of this study was to examine the relationship between teacher absenteeism and fourth-grade student mathematical achievement.

Data for this study were generated from nine school districts located in northern Louisiana. Data consisted of attendance records of fourth-grade teachers and student performance on the …

Examining The Effects Of Fear Of Failure, Self-Efficacy And Gender Role Conflict In Male And Female Engineering Students, Krista L. Nelson

Doctoral Dissertations

The field of engineering continues to have significantly fewer women engineers than men. Engineering has long been considered to be a male dominated career, with fewer women receiving bachelor's degrees in engineering and gaining employment in the engineering field. The present study was an attempt to determine influencing factors that discourage women from pursuing engineering as an educational and career choice. The current study examined gender role conflict, self-efficacy, and fear of failure as potential factors influencing women's preferences to pursue an engineering degree. Both male and female genders were participants in the research to determine gender differences for these …

Mathematical Modeling Of Pipeline Features For Robotic Inspection, Yang Gao

Doctoral Dissertations

Underground pipeline systems play an indispensable role in transporting liquids in both developed and developing countries. The associated social and economic cost to repair a pipe upon abrupt failure is often unacceptable. Regular inspection is a preventative action that aims to monitor pipe conditions, catch abnormalities and reduce the chance of undesirable surprises. Robots with CCTV video cameras have been used for decades to inspect pipelines, yielding only qualitative information. It is becoming necessary and preferable for municipalities, project managers and engineers to also quantify the 3-D geometry of underground pipe networks. Existing robots equipped specialized hardware and software algorithms …

The Relationship Between Personality And Forgiveness Of Sexual Infidelity In Marriage, Karen Suggs Roper

Doctoral Dissertations

Discovery of sexual infidelity is often accompanied by a strong desire for infidelity relevant information (Peluso, 2007). This study explored how information and conceptualization of situational factors affects forgiveness in a spouse who discovers the extramarital sexual activity of his or her spouse. The current study focused on knowledge of details and how such knowledge affected rumination and motivations of revenge, avoidance, and benevolence. Popular literature currently promotes a process of healing that begins with a revelation of the details associated with the extramarital behaviors of the offending spouse. A unique objective of this study was consideration of the specific …

Near-Optimal Scheduling And Decision-Making Models For Reactive And Proactive Fault Tolerance Mechanisms, Nichamon Naksinehaboon

Doctoral Dissertations

As High Performance Computing (HPC) systems increase in size to fulfill computational power demand, the chance of failure occurrences dramatically increases, resulting in potentially large amounts of lost computing time. Fault Tolerance (FT) mechanisms aim to mitigate the impact of failure occurrences to the running applications. However, the overhead of FT mechanisms increases proportionally to the HPC systems' size. Therefore, challenges arise in handling the expensive overhead of FT mechanisms while minimizing the large amount of lost computing time due to failure occurrences.

In this dissertation, a near-optimal scheduling model is built to determine when to invoke a hybrid checkpoint …

Fabrication And Characterization Of Hybrid Energy Harvesting Microdevices, Zhongcheng Gong

Doctoral Dissertations

In this dissertation, a hybrid energy harvesting system based on a lead zirconate titanate (PZT) and carbon nanotube film (CNF) cantilever structure has been designed, fabricated and studied. It has the ability to harvest light and thermal radiation energy from ambient energy and convert them to electricity.

The proposed micro-scale energy harvesting device consists of a composite cantilever beam (SU-8/CNF/Pt/PZT/Pt) which is fixed on a silicon based anchor and two electrode pads for wire bonding. The CNF acts as an antenna to receive radiation energy and convert it to heat energy and then transfer to the whole cantilever structure. The …

Failure Prediction For High-Performance Computing Systems, Narate Taerat

Doctoral Dissertations

The failure rate in high-performance computing (HPC) systems continues to escalate as the number of components in these systems increases. This affects the scalability and the performance of parallel applications in large-scale HPC systems. Fault tolerance (FT) mechanisms help mitigating the impact of failures on parallel applications. However, utilizing such mechanisms requires additional overhead. Besides, the overuse of FT mechanisms results in unnecessarily large overhead in the parallel applications. Knowing when and where failures will occur can greatly reduce the excessive overhead. As such, failure prediction is critical in order to effectively utilize FT mechanisms. In addition, it also helps …

The Engineering Design Process As A Model For Stem Curriculum Design, Krystal Sno Corbett

Doctoral Dissertations

Engaging pedagogics have been proven to be effective in the promotion of deep learning for science, technology, engineering, and mathematics (STEM) students. In many cases, academic institutions have shown a desire to improve education by implementing more engaging techniques in the classroom. The research framework established in this dissertation has been governed by the axiom that students should obtain a deep understanding of fundamental topics while being motivated to learn through engaging techniques. This research lays a foundation for future analysis and modeling of the curriculum design process where specific educational research questions can be considered using standard techniques. Further, …

The Search For An Optimal Means Of Determining The Minmax Control Parameter Using Sensitivity Analysis, John Teye Brown

Doctoral Dissertations

The use of computational methods for design and simulation of control systems allows for a cost-effective trial and error approach. In this work, we are concerned with the robust, real-time control of physical systems whose state space is infinite-dimensional. Such systems are known as Distributed Parameter Systems (DPS). A body whose state is heterogeneous is a distributed parameter. In particular, this work focuses on DPS systems that are governed by linear Partial Differential Equations, such as the heat equation. We specifically focus on the MinMax controller, which is regarded as being a very robust controller. The mathematical formulation of the …

A Failure Index For High Performance Computing Applications, Clayton F. Chandler

Doctoral Dissertations

This dissertation introduces a new metric in the area of High Performance Computing (HPC) application reliability and performance modeling. Derived via the time-dependent implementation of an existing inequality measure, the Failure index (FI) generates a coefficient representing the level of volatility for the failures incurred by an application running on a given HPC system in a given time interval. This coefficient presents a normalized cross-system representation of the failure volatility of applications running on failure-rich HPC platforms. Further, the origin and ramifications of application failures are investigated, from which certain mathematical conclusions yield greater insight into the behavior of these …

The Relationship Between Personality Traits, Coping Resources, And Burnout In North Louisiana Secondary School Teachers, Angela Kennedy

Doctoral Dissertations

The purpose of this study was to investigate sources of resistance to burnout in secondary teachers. For the purpose of this study secondary teachers were defined as teachers employed in grades 9-12 with 0-5 years of teaching experience employed in north Louisiana schools. Sources of resistance to burnout was researched in three investigative steps: (a) the relationship between levels of burnout and personality traits, (b) the relationship between levels of burnout and coping resources, and (c) the relationship between burnout and aspects of the job. The study sample consisted of 139 participants from nine identified north Louisiana parishes.

When testing …

The Effect Of Distinguished Educators On Academic Gain Of Louisiana Academically Unacceptable Schools, Ruby C. Scroggins

Doctoral Dissertations

The purpose of this study was to examine the degree of academic growth of Academically Unacceptable schools in Louisiana which have been assigned a Distinguished Educator. Distinguished Educators are external change agents who are placed in Academically Unacceptable schools in Louisiana. The data were generated from the Louisiana Department of Education. The study investigated if English Language Arts (ELA) and mathematics scores significantly increased in schools which were assigned a Distinguished Educator. School Performance Scores for third, fourth, and fifth grades were examined to determine growth, as well. The ex post factodesign study consisted of different school configurations which …

Development Of An Elementary School Background Noise, Amanda L. Mccann

Doctoral Dissertations

The deleterious effects of noise on hearing, comprehension, and academic development have been widely studied. In an effort to accurately observe the effects of noise on specific listening environments, researchers have relied on commercially available forms of background noise. However, these commercially available recordings only contain adult speech and background noises associated with adult environments. A commercially available form of background noise that represents the sounds associated with elementary and middle schools are not readily available. Given that much effort has gone into examining the effects of background noise on classroom performance, it would appear prudent that a background noise …

Mechanism Of Sps Acceleration In A Peg Containing Copper Plating Bath, Ashleigh Kreider

Doctoral Dissertations

Deposition of copper in Through Silicon Vias (TSVs) is achieved by addition of organic compounds, which act as suppressors and accelerants to copper electroplating solutions. The focus of this study is on the acceleration effect of bis-(3-sodiumsulfopropyl) disulfide (SPS) which is believed to go through an electrochemical reaction to form sodium 3-mercapto-1-propanesulfonate (MPS), the effective accelerant. The accelerant is believed to operate by forcing the suppressor off the copper surface through competitive adsorption. The kinetics of MPS adsorption onto copper was studied by addition of MPS to solutions containing the suppressor molecule, polyethylene glycol (PEG), under constant overpotential and measurement …

Liquefaction And Ring Shear Device, Julian A. Sandoval

Doctoral Dissertations

Liquefaction flow slides triggered by earthquakes or heavy rainfall in saturated granular soils have produced great damage in landslide-prone areas worldwide. A major aspect that needs more study is how the 'residual strength' remaining in the liquefied material evolves at the high strain levels imposed as the slide progresses. Strength of liquefied granular soils is usually studied in the lab by means of the triaxial test, since the strains required to trigger liquefaction are low, compared with those observed after it has been produced. More sophisticated devices are necessary in order to apply the high strains and shear strain rates …