Physical Sciences and Mathematics Commons^™

The Crash Consistency, Performance, And Security Of Persistent Memory Objects, Derrick Alex Greenspan

Graduate Thesis and Dissertation 2023-2024

Persistent memory (PM) is expected to augment or replace DRAM as main memory. PM combines byte-addressability with non-volatility, providing an opportunity to host byte-addressable data persistently. There are two main approaches for utilizing PM: either as memory mapped files or as persistent memory objects (PMOs). Memory mapped files require that programmers reconcile two different semantics (file system and virtual memory) for the same underlying data, and require the programmer use complicated transaction semantics to keep data crash consistent.

To solve this problem, the first part of this dissertation designs, implements, and evaluates a new PMO abstraction that addresses …

Mesmerizing Moon Mysteries: Unraveling The Compositions Of Irregular Mare Patches (Imps) Using Remote Observations, Nicholas G. Piskurich

Graduate Thesis and Dissertation 2023-2024

Compositional characterization of lunar surface features informs our understanding of the Moon's thermal and magmatic evolution. We investigated the compositions of hypothesized volcanic features known as irregular mare patches (IMPs) and their surroundings to constrain formation mechanisms. We used six datasets to assess the composition of 12 IMPs: 1) Moon Mineralogy Mapper (M³) derived spectral parameters (e.g., band center positions, shapes), 2) Lunar Reconnaissance Orbiter (LRO) Diviner Radiometer Experiment (Diviner) measured Christiansen feature (CF) position, 3) SELENE (Kaguya) Multiband Imager (MI) FeO abundance, 4) Clementine 5-band (Ultraviolet/Visible)-derived FeO abundance, 5) LRO Wide Angle Camera (WAC) TiO₂ abundance, …

Optical Seed Development For Yb-Fiber Laser, James G. Brutus

Graduate Thesis and Dissertation 2023-2024

Master Oscillator Power Amplifiers (MOPA) are laser systems that utilize a seed and pump amplification system to boost the output power of high-quality lower power seeding signals. MOPAs can generate high gain while avoiding many of the nonlinearities that negatively affect resonance-based lasers that are known to feature higher internal intensities. Additionally, MOPAs provide an easy alternative to the construction of novel laser technologies for higher output power as they can be easily combined with existing laser sources to amplify their output power.

This thesis outlines the design of an ytterbium-doped fiber laser (YDFL), featuring a MOPA architecture. The YDFL …

The Case For Photothermal Spectroscopy In The Future Of Planetary Science Missions, Christopher T. Cox

Graduate Thesis and Dissertation 2023-2024

Optical PhotoThermal InfraRed (O-PTIR) is a relatively new spectroscopy method for studying materials. It produces transmission-like spectra using a remote reflectance technique that is rapid, requires little sample preparation, and is well-suited for the technique to be adapted for a space flight instrument. The method involves a tunable pulsed IR laser creating a photothermal effect on the surface of a material and measuring the distortion of a probing visible laser in the same region of the sample, which can be obtained at sub-micron spatial resolutions. A measurement campaign was performed utilizing Photothermal Spectroscopy Corporation's O-PTIR instrument, mIRage®. In this campaign, …

Visual Experience Enhancement In Augmented Reality Displays, Qian Yang

Graduate Thesis and Dissertation 2023-2024

In the dynamic arena of display technology, augmented reality (AR) displays represent a pivotal advancement, seamlessly bridging the digital and physical worlds. This dissertation delves into the realm of AR display technologies, spotlighting the challenges and limitations of current systems, including transparent and near-eye displays, and proposes innovative solutions to enhance user experience and display performance. With a focus on overcoming issues such as diffraction-induced image blur, the trade-off between resolution and field of view (FoV) in near-eye displays, and FoV constraints in waveguide-based displays, this research introduces new evaluation methods, optimization techniques, and system designs. First, the dissertation presents …

Validating Machine And Human Decision-Making In Forensic Fire Debris Analysis, Frances A. Whitehead

Graduate Thesis and Dissertation 2023-2024

This work presents a background on the chemical complexity of fire debris analysis, including an ever-present matrix of pyrolysis products as the catalyst that led to the creation of the National Center for Forensic Science's Fire Debris Database. A selection of these 1,000+ casework-relevant ground truth samples was used to create two newly proposed analyst workflows to connect the current method of categorical reporting with evaluative reporting practices reflective of the strength of the evidence. Both workflows use linear sequential unmasking to help mitigate bias, a discrete scoring system for quantification of the analysis, and receiver operating characteristic (ROC) curves …

Dual Frequency Comb Mid-Ir – Thz Spectroscopy, Dmitrii Konnov

Graduate Thesis and Dissertation 2023-2024

The optical frequency comb is a coherent light source whose spectrum consists of hundreds of thousands perfectly equidistant narrow frequency components and precisely expressed in just two radio frequencies. Even though optical frequency combs were developed 25 years ago, that led to the Nobel Prize in Physics 2005, only recently there was a significant progress in generating broadband optical frequency combs in the mid-infrared. These achievements became possible due to the development of new types of robust fiber and solid-state lasers and the efficient downconverting of their frequencies through different techniques based on advanced nonlinear crystals. In this dissertation, I …

Human Visual Search Performance For Close Range Detection Of Static Targets From Moving Sensor Platforms, Jennifer Hewitt

Graduate Thesis and Dissertation 2023-2024

Search models based on human perception have been developed by military researchers over the past few decades and have both military and commercial applications for sensor design and implementation. These models are created primarily for static imagery, and accurately predict task performance for systems with stationary targets and stationary sensors, if the observer is given infinite time to make targeting decisions. To account for situations where decisions must be made on a shortened time scale, the time-limited search model was developed to describe how task performance evolves with time. Recent variations of this model have been made to account for …

Enhancing Scanning Tunneling Microscopy With Automation And Machine Learning, Darian Smalley

Graduate Thesis and Dissertation 2023-2024

The scanning tunneling microscope (STM) is one of the most advanced surface science tools capable of atomic resolution imaging and atomic manipulation. Unfortunately, STM has many time-consuming bottlenecks, like probe conditioning, tip instability, and noise artificing, which causes the technique to have low experimental throughput. This dissertation describes my efforts to address these challenges through automation and machine learning. It consists of two main sections each describing four projects for a total of eight studies.

The first section details two studies on nanoscale sample fabrication and two studies on STM tip preparation. The first two studies describe the fabrication of …

Advancing Policy Insights: Opinion Data Analysis And Discourse Structuring Using Llms, Aaditya Bhatia

Graduate Thesis and Dissertation 2023-2024

The growing volume of opinion data presents a significant challenge for policymakers striving to distill public sentiment into actionable decisions. This study aims to explore the capability of large language models (LLMs) to synthesize public opinion data into coherent policy recommendations. We specifically leverage Mistral 7B and Mixtral 8x7B models for text generation and have developed an architecture to process vast amounts of unstructured information, integrate diverse viewpoints, and extract actionable insights aligned with public opinion. Using a retrospective data analysis of the Polis platform debates published by the Computational Democracy Project, this study examines multiple datasets that span local …

Thermosensitive Phosphors As Optical Temperature Sensors In Extreme Environments, Marcos Ramon Imer Rocha Pita

Wayne State University Dissertations

Luminescent temperature sensors offer unique advantages over thermocouples and pyrometers for applications in extreme environments such as operando wall temperature mapping of combustion engines. A refractory oxide host doped with an optically active ion has the potential to afford a thermosensitive phosphor with a well-defined temperature response in such extreme environments. However, the design of thermosensitive phosphors with targeted temperature sensitivity and spatial resolution in the operational temperature range of interest has been hindered by the inability to rationally select host–activator pairs. A major scientific question is what crystal-chemistry features a low thermal conductivity oxide must possess to afford a …

Verifying And Analyzing Ultra-Compact X-Ray Binaries Via Reflection Spectroscopy, David Louis Moutard

Wayne State University Dissertations

A low-mass X-ray binary (LMXB) is a compact object, such as a neutron star (NS) or black hole (BH), which is accreting material from a stellar companion via a process called Roche-lobe overflow. An ultra-compact X-ray binary (UCXB) is a subset of these systems defined by a shorter orbital period (< 80 minutes, compared to the hours to days seen in LMXBs). This shorter orbital period implies that the companion is more compact than a main sequence type star, often being a white dwarf (WD). These systems are important to study, as the compact nature of both objects in a tight orbit produces low frequency gravitational waves that will affect the next generation of multi-messenger astronomy. By observing UCXBs we can help to understand every facet of these unique systems before such missions begin. Over the course of this dissertation, we study a NS-WD UCXB called 4U 0614+091 and a NS UCXB candidate called SLX 1735-269. The primary method used to study these systems is a process called reflection modeling. This process involves collecting X-ray spectra, and modeling various components; a thermal contribution from the NS, non-thermal contribution from an X-ray corona surrounding the compact object, and sometimes thermal contributions from the accretion disk itself when necessary. These make up the standard continuum for an LMXB, but an additional component is applied which accounts for photons from the corona illuminating the disk and being reprocessed by the elements therein. These elements differ between UCXBs and LMXBs, as UCXBs tend to have an overabundance of oxygen with respect to solar, while being nearly devoid of hydrogen, resulting in a unique feature in the low-energy band. We use this fact to attempt to verify the UCXB nature of SLX 1735-269 by comparing reflection models applied to the data. These models contain different chemical abundances, with some designed for standard LMXBs with a main sequence companion and another designed specifically for UCXBs with a WD companion. We find that it is more likely that the source is ultra-compact in nature, but our timing analysis yields no orbital period, so we can not verify this beyond the indirect evidence of abundances. We also use this method to analyzea series of observations of 4U0614+091, which is a confirmed UCXB. This source varies in flux quasi-periodically over the course of a few days. By capturing the source at various stages along this flux evolution and modeling the reflection, we find that the inner disk appears to move away from the NS at the lowest flux state. This is analogous to what is seen in BH LMXB systems, and explains an apparent anti-correlation in the flux of the illuminating corona and that of the reflected emission, as the accretion disk is physically further from the illuminating source. Finally, we focus on a long term analysis of the same source, taking 51 archival spectra and modeling them with a UCXB reflection abundances. We find the source in different states throughout the course of these observations, which allows us to study how certain reflection parameters change as the source varies overall. We find that our results are consistent with the X-ray corona moving closer to the NS during high flux states, where the bulk of the emission is at low energies. This unique subset of sources can help us understand accretion at various scales by drawing comparisons to more massive black hole counterparts.

Density Functional Studies Of Molecular Separation And Charge Transport, Timothy Quainoo

Wayne State University Dissertations

This thesis presents a series of studies which can be grouped majorly into two sections both focusing on the utilization of density functional theory techniques; Molecular electronics and Molecular separation. Molecular electronics has been anticipated to hold a great future as it seeks to apply molecular building blocks in the creation of electronic components. On the other hand, the utilization of mild conditions in chemical processes is geared toward the major goals of green chemistry as it produces less waste and is cost-effective. Thus, this dissertation tackles and answers some of the unanswered questions in literature by using theoretical methods …

Design And Synthesis Of Aminoglycoside-Based Heparan Sulfate Mimetics For Structure-Activity Relationship Studies Of Heparan-Binding Proteins, Joseph Wakpal

Wayne State University Dissertations

Cancer remains a formidable challenge in modern medicine, demanding innovative approaches and treatments. Among the emerging strategies, inhibiting heparanase and fibroblast growth factor 2 (FGF2) has garnered considerable attention in recent years. This dissertation presents a novel approach to designing and synthesizing a diverse library of heparan sulfate (HS) mimetics derived from aminoglycosides to study their binding to two heparin-binding proteins involved in cancer development and metastasis. Heparanase cleaves HS polysaccharide chains in the extracellular matrix (ECM) and is a regulator of aggressive tumor behavior. Clinical studies have illustrated that aberrant heparanase expression correlates with increased tumor size, amplified tumor …

An Approach To Multidimensional Discrete Generating Series, Svetlana S. Akhtamova, Tom Cuchta, Alexander P. Lyapin

Mathematics Faculty Research

We extend existing functional relationships for the discrete generating series associated with a single-variable linear polynomial coefficient difference equation to the multivariable case.

Diagnostic In Neuroimaging: A Comparative Study Of Deep Learning And Traditional Approaches, Amina Issoufou Anaroua

Data Science and Data Mining

In the realm of medical diagnostics, precise classification of brain tumors is pivotal. This study conducts a comprehensive comparative analysis of a Convolutional Neural Network (CNN) against traditional machine learning models, Logistic Regression (LR) and Support Vector Machines (SVM) on a dataset of MRI scans for multi-class brain tumor classification. The CNN, tailored for image recognition, is evaluated alongside LR and SVM, which have established benchmarks in classification tasks. The investigation reveals that the traditional models hold their ground in terms of precision and interpretability, with the SVM, in particular, achieving remarkable accuracy. However, the CNN distinguishes itself by demonstrating …

Improving The Accuracy Of Software Models Using Refinement And Mutation Testing, Ana Jovanovic

Computer Science and Engineering Dissertations - Archive

Writing correct software models is important in today’s society. Unfortunately, software development is an error-prone task that frequently leads to buggy software. That is why users, both novices and experts, make use of additional techniques and tools to make software more reliable and correct. One of the languages that proposes a solution to this is Alloy. Alloy is a declarative language based on first order logic. Its main advantage is the ability to describe complex systems using concise formal logic. To verify the model and its properties, Alloy uses the Alloy Analyzer, an SAT-based verification tool that supports fully automatic …

Understanding Social Dynamics In Toxic Conversations And Public Health Intervention Acceptance On Social Media, Ana Aleksandric

Computer Science and Engineering Dissertations - Archive

Social media is now central to daily life, offering users a space to share content and opinions. However, these platforms also facilitate the spread of hate speech and misinformation, which can negatively impact public health. This dissertation develops methodologies to analyze social media data for insights that could inform health interventions. The research first examines user responses to toxic content, focusing on behavioral and emotional reactions, as well as group dynamics and bystander effects in toxic interactions. Another key focus is public opinion toward health interventions, particularly COVID-19 vaccination, using geolocated posts and analyzing factors such as race, ethnicity, and …

Living Datasets: Towards Data-Centric Ai Explainability And Bias Mitigation, Akib Zaman

Computer Science and Engineering Dissertations - Archive

Benchmark datasets are critical to the evolution of AI efforts yet often embed unintended biases that influence the models that drive human-AI interactions. A deeper inspection and awareness of data is needed to understand the biases datasets may contain. In this dissertation, I introduce the Tag-and-Release method, inspired from wildlife research, that treats data as an organism and examines how different environments (i.e., CNNs) select for unique traits or characteristics that ultimately impact data's survival. Using the canonical MNIST handwritten digit dataset as a case study, I describe how the Tag-and-Release method can be used to analyze how dataset imbalance …

Sustainable Additive Manufacturing Of Polysulfone Membranes For Liquid Separations, Brian Leonard, Harrison Loh, David Lu, Ebuka A. Ogbuoji, Isabel Escobar, Konstantinos Sierros, Oishi Sanyal

UK CARES Faculty Publications

Membranes serve as important components for modern manufacturing and purification processes but are conventionally associated with excessive solvent usage. Here, for the first time, a procedure for fabricating large area polysulfone membranes is demonstrated via the combination of direct ink writing (DIW) with non-solvent induced phase inversion (NIPS). The superior control and precision of this process allows for complete utilization of the polymer dope solution during membrane fabrication, thus enabling a significant reduction in material usage. Compared to doctor blade fabrication, a 63% reduction in dope solution volume was achieved using the DIW technique for fabricating similarly sized membranes. Cross …

Temperature-Dependent Stress–Strain Behavior Of Amorphous And Crystalline P3ht, Kehinde H. Fagbohungbe, Connor P. Callaway, Chad Risko

UK CARES Faculty Publications

The scalable commercialization of organic electronics wherein p-conjugated polymers serve as the semiconductors hinges on precise control of the material electronic, redox, optical, and mechanical properties, which are each highly influenced by local and long-range morphology. Here, we undertake atomistic molecular dynamics (MD) simulations at three temperatures (150 K, 300 K, and 400 K) to assess the morphological and mechanical response of bulk poly(3-hexylthiophene) (P3HT), a representative homopolymer of interest as an organic semiconductor (OS). As P3HT is a semicrystalline polymer, we characterize mechanical properties for both amorphous and crystalline P3HT models to derive insights into structure–property relationships, including Young’s …

Tapped In: The Rise Of Mobile Malware, Chrystofuer Davenport

Cybersecurity Undergraduate Research Showcase

As the world of technology continues to evolve and become more advanced with our life, so do the dangers and threats that are determined to hinder that development. Malware continues to be a danger to internet surfers or people with access to technology. At first it was an issue that existed only with computers but since the evolution of smartphones in the early twenty-first century, mobile devices have been a target for multiple malware viruses. It’s important to be aware of what different viruses are capable of doing and how to avoid them when they are encountered. Even though computers …

Solutions To The Kaluza-Klein Field Equations, Abel Eshete

All Graduate Theses, Dissertations, and Other Capstone Projects

This Alternate Paper Plan explores Kaluza-Klein theory, a multidimensional framework designed to unify Einstein’s gravitational field theory and Maxwell’s electromagnetic field theory. The objectives of this research can be summarized in two key areas: The first objective is to present a comprehensive introduction to the compactified Kaluza-Klein theory. The second aim involves the application of differential geometry, specifically E ́lie Cartan’s tetrad formalism, to derive exact solutions in two distinct scenarios: a. A Levi-Civita spacetime, b. A general spherical system. Furthermore, Lagrangian and Hamiltonian formalism are utilized to define stability conditions and describe gravitational lensing and Precession of Perihelion within …

Changes In Values And Perception Of Life: Natural Disaster Devastates A Mountain Community, Sharifullah Baig, Abida Begum

Professional Development Centre, Gilgit

The mountain communities of Karakorum and the Himalayas in Pakistan are frequently experiencing climate change-induced natural disasters, which are inflicting irreparable losses to their generation's old value system and socio-economic life. Focusing on the value system, this small-scale study explored the change in values and perceptions of a disaster-affected mountain community about natural hazards and its implications for their future lives. Twenty participants from the affected community, including local political activists, religious leaders, teachers, and youth activists, were thoroughly interviewed. The study explored significant deviations from their traditional values of connectedness to each other and with their ancestors' land. The …

Evaluating The Impacts Of Microplastics On The Soil Biochemical Environment And Cherry Tomato (Solanum Lycopersicum) Productivity, Kenny Famakinwa

All Graduate Theses, Dissertations, and Other Capstone Projects

Microplastics are a global contaminant with serious consequences for ecosystems and human health, yet their effects on terrestrial soil and plants are poorly understood. We conducted the systematic research to reveal the impact of polyethylene microplastics (PE MPs), polypropylene (PP) MPs and Mixture of PE + PP, size (0.1 – 1 vs 2 – 3.5 mm), concentration (1% vs 5%) on soil biochemical and physiochemical of tomato (Solanum lycopersicum L) health. The results showed that the addition of MPs resulted in elevated soil pH, particularly at 5% concentration and size 2 – 3.5mm. There was a remarkable 30.6 – 47% …

Probable Extirpation Of The Jackrabbit (Lepus Californicus) From Arkansas, D.B. Sasse

Journal of the Arkansas Academy of Science

The black-tailed jackrabbit (Lepus californicus) was first documented in Arkansas during the modern era in Franklin County in 1927. Over the next few decades records were reported from multiple counties in northwest Arkansas and the species was locally common in Benton, Crawford, and Washington counties in the 1950s. The last Arkansas record documented in the scientific literature was from 1968 and since then there have only been three credible reports, with the last being from the late 1980s. The Arkansas Game and Fish Commission solicited reports of jackrabbits from the public and failed to find evidence of them from a …

Ultrastructure Of The Biflagellated Spermatozoon In The Western Siren, Siren Nettingi (Caudata: Sirenidae), Using Scanning Electron Microscopy, S.E. Trauth

Journal of the Arkansas Academy of Science

I investigated the ultrastructure of the biflagellated spermatozoon of the Western Siren, Siren nettingi, using scanning electron microscopy from salamanders collected in northeastern Arkansas. My primary goal in this study was to reveal the general morphology of the distinctive sperm cell components (two axonemes, two undulating membranes, and two axial fibers), which run nearly the entire length of the spermatozoon. These remarkable gamete structures are found in members of the salamander family Sirenidae and do not conform to spermatozoal ultrastructure of any other salamander species. Moreover, the biflagellated sperm are the end product of an extraordinary assemblage of complex maturation …

History And Distribution Of The Wood Stork (Mycteria Americana) In Arkansas, R. Tumlison, L. Serviss

Journal of the Arkansas Academy of Science

Wood Storks (Mycteria americana) were thought to be common visitors to Arkansas in the early 1900s, but observations declined mid-century. Surveys of citizen science data and other online sources indicate that numbers of unique observations and total counts of birds have increased since 2000. Storks do not breed here, but have been reported in 34 of 75 counties, and appear mostly in August and September. Birds apparently originate from Mexico. Number of observations have increased since 2016, but many of those observations include only a few birds rather than larger flocks.

An Annotated Checklist Of The Camel Crickets (Insecta: Orthoptera: Rhaphidophoridae) Of Arkansas, H.W. Robison, C.T. Mcallister

Journal of the Arkansas Academy of Science

A total of 14 native species of camel crickets and one introduced taxon representing three genera (Ceuthophilus, Phrixocnemis, and Diestrammena) of the orthopteran family Rhaphidophoridae, are herein reported from Arkansas. The most diverse genus was Ceuthophilus, with 13 native species, while Phrixocnemis had one native species, and Diestrammena, formerly Tachycines, was represented by one introduced species. This updated checklist is intended to be of use to entomologists, naturalists, professional biologists, and resource managers in evaluating the biodiversity of Arkansas. State distributional maps are provided for each species listed by county, and habitats are discussed in which each species was taken …

Fish Leeches Of Arkansas, D.J. Richardson, W.E. Moser, C.T. Mcallister, S.P. Lawson, H.W. Robison

Journal of the Arkansas Academy of Science

Recent collection within Arkansas greatly enlarges the knowledge concerning hosts and distributions of fish leeches within the state. The natural history of the 6 species of fish leeches known from Arkansas (Placobdella montifera, Placobdella pediculata, Cystobranchus klemmi, Cystobranchus verrilli, Myzobdella lugubris, and Myzobdella reducta) is reviewed and updated and molecular data are provided.