Digital Commons Network^™

Drop Wetting And Sliding On Soft, Swollen Elastomers, Zhuoyun Cai

Theses and Dissertations--Chemical and Materials Engineering

Soft, slippery surfaces have gained increasing attention due to their wide range of potential applications, for example in self-cleaning, anti-fouling, liquid collection, and more. One design approach in creating slippery surfaces is using a swollen elastomer, which is a polymer network swollen with a lubricant. This type of surface may be beneficial for longer-term use than standard lubricant-infused surfaces, and provides a versatile surface with tunable mechanical properties. Hence, understanding the physics of soft surface interactions is important for fundamental soft matter physics, biomaterials, adhesives, and coatings. This research experimentally investigates wetting on soft infused networks, with the aim of …

Effects Of Confinement On Ionic Liquids And Deep Eutectic Solvents For The Design Of Catalytic Systems, Electrochemical Devices, And Separations, Andrew Drake

Theses and Dissertations--Chemical and Materials Engineering

Confinement of ionic liquids (ILs) and deep eutectic solvents (DESs) within mesoporous materials such as silica helps to control the local environment within the pores for applications such as catalysis, electrochemistry, and absorption. Silica thin films with 2.5 and 8 nm pores and micron-sized silica particles with pore diameters of 5.4 and 9 nm were synthesized to study the effect of nanoconfinement on ILs 1-butyl-3-methylimidazolium hexafluorophosphate ([BMIM][PF₆]), 1-butyl-3-methylimidazolium chloride ([BMIM][Cl]), and DESs reline and ethaline (choline chloride and urea or ethylene glycol). Silica thin films with vertically aligned, well ordered, and accessible pores were synthesized via the evaporation-induced …

Practical Ai Value Alignment Using Stories, Md Sultan Al Nahian

Theses and Dissertations--Computer Science

As more machine learning agents interact with humans, it is increasingly a prospect that an agent trained to perform a task optimally - using only a measure of task performance as feedback--can violate societal norms for acceptable behavior or cause harm. Consequently, it becomes necessary to prioritize task performance and ensure that AI actions do not have detrimental effects. Value alignment is a property of intelligent agents, wherein they solely pursue goals and activities that are non-harmful and beneficial to humans. Current approaches to value alignment largely depend on imitation learning or learning from demonstration methods. However, the dynamic nature …

Emerging Hues: Essays From The Teneral Stage, Lucy Jayes

Theses and Dissertations--English

This collection of essays features work created and revised over two years in the Masters of Fine Arts in Creative Writing Program. They reflect a period of intense evolution in the author’s life and delve into topics of modern-day motherhood and cycles of intimate partner violence.

Myth, Mockery, & Misery: An Evolution Of Disillusion In Modern-War Expression, Richard W. Halkyard

Theses and Dissertations--English

Industrialization in 19th-Century America yielded a regrettable by-product: the modernization of warfare. Mass armies, technological innovation, and unprecedented rates of industrial productivity prompted the creation of machines designed to inspire fear, increase destructive capability, and inflict mass-death. The modernization of warfare altered forever the way war was experienced and represented literarily. Authors who attempted to represent the Civil and Spanish-American Wars, as well as World War I, articulated modernized warfare with a disillusionment which stems from the tragically dehumanizing effects of mechanical violence on an industrial scale. Myth, Mockery, & Misery argues that as far back as 1862, romantic idealization …

Field Tests Of A Uav-Compatible Spectrometer To Evaluate Its Suitability For Detailed Soil Radon Potential Mapping, Alexandria Briahnne Thomas

Theses and Dissertations--Earth and Environmental Sciences

As part of ongoing research on radionuclide mapping and radon hazard characterization, field tests were performed to evaluate the suitability and limitations of a UAV-compatible gamma spectrometer. To date, this data set includes completed stationary data collection, mobile ground collection, multi-level UAV flights over a known material transition, as well as redundant ground and multi-level UAV data collection over a relatively uniform area. Total counts were used as a measure of soil radionuclide levels for our data collected above background. Although our test sites were in regions underlain by bedrock with high indoor radon levels, uranium counts were barely above …

Applications Of Digital Terrain Modeling To Address Problems In Geomorphology And Engineering Geology, Sarah Johnson

Theses and Dissertations--Earth and Environmental Sciences

This dissertation uses digital terrain modeling and computational methods to yield insight into three topics: 1) evaluating the influence of glacial topography on fluvial sediment transport in the Teton Range, WY, 2) integrating regional airborne lidar, UAV lidar, and structure from motion photogrammetry to characterize decadal-scale movement of slow-moving landslides in northern Kentucky, and 3) applying machine learning methods to surficial geologic mapping.

The role of topography as a boundary condition that controls the efficiency of fluvial erosion in the Teton Range, Wyoming, was investigated by using existing lidar data to delineate surficial geologic units, geometrically reconstruct the depth to …

Picturing The Future City: Digital Mediation And Creative Placemaking, Jessica Mccallum Breen

Theses and Dissertations--Geography

Creative placemaking is an arts-oriented community development policy that focuses on the potential for art, artists, and cultural organizations to generate social, economic, and cultural vibrancy in their communities and is a primary tool of culture-led (re)development practices (Markusen & Gwada, 2010). Despite the focus of creative placemakers on the local impacts of their work, creative placemaking is more than local, it is both translocal and transcalar. In this dissertation, I examine the role that digital mediation plays in creative placemaking and how it makes visible these translocal and transcalar connections. I begin by outlining a methodology for tracing replicated …

Property Protocols And The Spatial Relations Of Real Estate Technologies, Ian Spangler

Theses and Dissertations--Geography

The dissertation contributes to our understanding of the technologically mediated, professionally managed social relations of private property, and specifically, their consequences for housing and home. I analyze standards and protocols for real estate data transfer, such as the multiple listing service, arguing that these standards play an increasingly important role in how real estate capital authenticates property relations. Focusing on technologies that leverage these standards in order to manage, exchange, and marketize housing, I show how standards often derive from moral values grounded in rubrics of white upper-class masculinity and national border-making. In making this argument, I draw on interviews, …

‘A Category Of Their Own’: Quantitative Methods In The Use Of Pile-Sort Data In Perceptual Dialectology, Zachary Ty Gill

Theses and Dissertations--Linguistics

The purpose of this study is to investigate how Mississippi Gulf Coast Creoles perceive language differences in their home area. A pile-sort task was carried out in which respondents were given stacks of cards with local communities written on them and instructed to stack together the regions where people “talk the same.” Once the piles were made, the fieldworker discussed their sortings with the respondents. The stacks were analyzed by means of a hierarchal agglomerative cluster analysis and non-parametric multidimensional scaling with k-means cluster analysis overlays to extract the perceived dialect areas. The groupings reveal that respondent strategies are based …

Perceptual Dialectology Of Tulsan Speakers Of English, Andrew Carter

Theses and Dissertations--Linguistics

The present study analyzes new interviews from fifteen Tulsan speakers of English and maps produced by draw-a-map tasks. The interviews and subsequent map tasks were conducted over the course of the winter of 2021 for the purpose of this thesis and have been analyzed for folk linguistic information about the perceptions of Tulsa and the rest of the state. The study finds that Tulsan speakers hold similar dialectal perceptions about both their own city and other locations as their fellow Oklahomans, and also provides evidence of a deteriorating faith among Tulsans in the existence of the northern-southern dialectal divide compared …

Substrate Selection And Effector Gating In The Helicobacter Pylori Cag Type Iv Secretion System, Mackenzie E. Ryan

Theses and Dissertations--Microbiology, Immunology, and Molecular Genetics

Helicobacter pylori is a recognized carcinogen and gastric colonization by strains that harbor the cag type IV secretion system (1) is the strongest known risk factor for stomach malignancy. Gastric adenocarcinoma is the fourth leading cause of cancer-related deaths world-wide ( > 700,000 deaths annually), with H. pylori directly contributing to the development of more than one million new cases of cancer per year accounting for 5.5% of all malignancies. H. pylori exploits cag T4SS activity to alter the mucosal microenvironment by delivering diverse immunostimulatory cargo into target gastric epithelial cells. Currently, the mechanisms by which the cag T4SS …

Statistical Intervals For Neural Network And Its Relationship With Generalized Linear Model, Sheng Yuan

Theses and Dissertations--Statistics

Neural networks have experienced widespread adoption and have become integral in cutting-edge domains like computer vision, natural language processing, and various contemporary fields. However, addressing the statistical aspects of neural networks has been a persistent challenge, with limited satisfactory results. In my research, I focused on exploring statistical intervals applied to neural networks, specifically confidence intervals and tolerance intervals. I employed variance estimation methods, such as direct estimation and resampling, to assess neural networks and their performance under outlier scenarios. Remarkably, when outliers were present, the resampling method with infinitesimal jackknife estimation yielded confidence intervals that closely aligned with nominal …

Tolerance Intervals For Various Regression Models, Xitong Zhou

Theses and Dissertations--Statistics

Among statistical intervals, confidence intervals and prediction intervals are well-known and commonly used. In many applications, the problem becomes finding an interval that covers at least a certain proportion $P$ of the population for a characteristic of interest with a specified confidence level $(1-\alpha)$. And such interval is named a $P$-content, $(1-\alpha)$-confidence Tolerance Interval (TI). The topic of the dissertation is the utility of tolerance intervals for various regression models. We begin with a discussion of tolerance intervals for linear and nonlinear regression models. We then propose a bootstrap method of constructing TIs for Tobit regression to deal with censored …

Finite Mixtures Of Mean-Parameterized Conway-Maxwell-Poisson Models, Dongying Zhan

Theses and Dissertations--Statistics

For modeling count data, the Conway-Maxwell-Poisson (CMP) distribution is a popular generalization of the Poisson distribution due to its ability to characterize data over- or under-dispersion. While the classic parameterization of the CMP has been well-studied, its main drawback is that it is does not directly model the mean of the counts. This is mitigated by using a mean-parameterized version of the CMP distribution. In this work, we are concerned with the setting where count data may be comprised of subpopulations, each possibly having varying degrees of data dispersion. Thus, we propose a finite mixture of mean-parameterized CMP distributions. An …

Effectiveness Of A Long-Acting Cocaine Hydrolase In Metabolizing Cocaine And Its Physiologically Active Metabolites, Linyue Shang

Theses and Dissertations--Pharmacy

Cocaine is a widely abused, hepatotoxic drug without an FDA-approved pharmacotherapy specific for cocaine addiction or overdose. Cocaine-induced toxicity in animals and humans is due to its multiple physiological effects on the central nervous system, cardiovascular system, etc. The toxicity of cocaine is highly complex, as its metabolites also contribute to the toxicity. Notably, the combination of cocaine and alcohol is common among drug users and can produce additional metabolites. Some of the metabolites are more toxic than cocaine itself. Hence, to develop an ideal therapeutic candidate, the candidate should not only account for cocaine but should also detoxify other …

Self-Assembled Ternary Polypeptide Nanoparticles With Improved Biostability For Drug Delivery In Cancer Therapy, Preye Mike Agbana

Theses and Dissertations--Pharmacy

Cancer remains a real and present threat to global health. In the United States, according to cancer statistics, almost 40% of people will be diagnosed with cancer at some point in their lifetime. Conventional chemotherapy has become the mainstay for cancer treatment option. However, chemotherapeutic agents are plagued with problems such as poor aqueous solubility, chemical degradation, Bio instability, and off-site toxicity due to non-specificity. New drug modalities are needed to tackle the ever-growing burden on cancer. In recent times, the promise of nanotechnology has aided to develop drug delivery vehicles to facilitate the administration of potent chemotherapeutics. Nanoformulations such …

Bioinformatic Analysis Of Proteomic And Genomic Data From Nsclc Tumors On Prognostic And Predictive Factors Of Immunotherapy Treatment, Mark Wuenschel

Theses and Dissertations--Pharmacy

Recent lung cancer research has led to advancements in molecular immunology, resulting in development of small molecule inhibitors, or immune checkpoint inhibitors, that propagate an anti-tumor T cell response. Despite increased overall and progression-free survival with reduced adverse effects compared to traditional chemotherapy, treating advanced stage lung adenocarcinoma patients remains non-curative, and evidence of non-responders or tumor recurrence to immune checkpoint inhibitor therapy is growing. Also, compared to traditional chemotherapy, there is a lower percentage of patients who respond to small molecule inhibitors. In this analysis of proteomic and genomic data from The Cancer Proteome Atlas and Global Data Commons …

Investigation Of Folate-Poly(Glutamic Acid)/Polyethylenimine/Dna Complexes For In Vitro Gene Delivery, Caleb Akers

Theses and Dissertations--Pharmacy

Gene therapy is currently being studied as a treatment for a variety of indications, including cancer, infectious disease, and cardiovascular diseases, among others. While many of the early treatments in the field involved the use of viral delivery methods, various safety, ethical, and financial concerns limit the potential uses of this methodology. As such, more recent research has focused on developing non-viral delivery platforms to alleviate some of the issues inherent in viral delivery. Recently, the release of the COVID-19 vaccines from Pfizer and Moderna represents a promising use of non-viral delivery as both utilized a lipid-based delivery vector.

Despite …

New Tools For Biocatalysis: Studies On The Carminomycin 4-O-Methyltransferase Dnrk, Elnaz Jalali

Theses and Dissertations--Pharmacy

Methyltransferases (MTs) are ubiquitous enzymes commonly involved in biosynthesis and regulation. The fundamental goal of this thesis was to explore the permissive nature of methyltransferases and leverage this unique biocatalytic feature to develop a new platform for chemoselective intramolecular cyclization reactions. To realize this ambitious goal, this thesis project set out to probe the substrate specificity of multiple natural product tailoring enzymes (MTs and glycosyltransferases), identify model substrates common to multiple such tailoring enzymes and subsequently establish multi-enzyme tandem reactions that would set the stage for a subsequent chemoselective intramolecular cyclization reaction. Chapter One highlights current state of the art …

Clustering Hospital Performance Using Group-Based Multi-Trajectory Modeling With Singular Bayesian Information Criterion, Gaixin Du

Theses and Dissertations--Epidemiology and Biostatistics

Hospital performance is complex and patient-experience oriented. Currently, the Centers for Medicare and Medicaid Services (CMS) evaluate hospitals yearly with a single score of one to five ("Star Rating") using composite measures from five domains. However, a single composite score cannot fully describe it, and alternative measures should be considered. Healthcare quality improvement needs long-term data to validate effectiveness. Group-based multi-trajectory modeling (GBMTM) estimates probabilities of latent group membership based on longitudinal profiles from multiple outcomes. We use GBMTM to identify groups of hospitals with similar performance in SAS PROC TRAJ.

We downloaded Medicare-eligible hospitals (N=5,111) that provided patient care …

Maternal Occupation And Pediatric Brain Cancer In Kentucky, Mary Elizabeth Begley

Theses and Dissertations--Epidemiology and Biostatistics

Pediatric brain cancer is a rare and potentially deadly diagnosis that affects children in Kentucky at a higher incidence than those nationally. Limited exposures in children early in life to warrant the development and progression of brain cancer point to the role parental exposures experienced in the period prior to conception and throughout pregnancy may play in its development. Many of these exposures may be experienced through occupation.

Data on a subset of pediatric brain cancer cases in Kentucky was compared to all cases diagnosed in the state from 1995 to 2019. Survey data of the study sample was collected …

Prediction Of Dynamic Subsidence In The Proximity Of Longwall Panel Boundaries, Jesus David Romero Benitez

Theses and Dissertations--Mining Engineering

The development of mining subsidence has a dynamic character, and it is related to the mining rate and a time coefficient. Reliable prediction of dynamic deformations is important when planning to undermine important structures that cannot account for large relative deformations and or large horizontal strains. This thesis discusses subsidence development for a number of points over a retreating longwall panel in the eastern US. The prediction points are at different distances from the excavation rib and, therefore, present a different response in terms of dynamic movements. Final movements, i.e., measurements after the panel was fully extracted, were used to …

Assessment Of Air Overpressure From Blasting Using Computational Fluid Dynamics, Cecilia Estefania Aramayo

Theses and Dissertations--Mining Engineering

Air overpressure is a shock wave that occurs when explosives detonate and travel through the air. This can cause damage and annoyance in mining blasts, making it a significant concern for the surroundings of the operation. Currently, the cube root scale distance is used to predict air overpressure, but this method has limitations. To accurately determine air overpressure behavior, a new method is needed. Computational fluid dynamics (CFD) is a reliable and advanced technique that can simulate and solve complex physical problems, including the behavior of air overpressure. In this thesis, two techniques, the bursting balloon, and total pressure boundary, …

Parallel Real Time Rrt*: An Rrt* Based Path Planning Process, David Yackzan

Theses and Dissertations--Mechanical and Aerospace Engineering

This thesis presents a new parallelized real-time path planning process. This process is an extension of the Real-Time Rapidly Exploring Random Trees* (RT-RRT*) algorithm developed by Naderi et al in 2015 [1]. The RT-RRT* algorithm was demonstrated on a simulated two-dimensional dynamic environment while finding paths to a varying target state. We demonstrate that the original algorithm is incapable of running at a sufficient rate for control of a 7-degree-of-freedom (7-DoF) robotic arm while maintaining a path planning tree in 7 dimensions. This limitation is due to the complexity of maintaining a tree in a high-dimensional space and the network …

Attrition Study Of Copper-Supplemented Iron-Based Oxygen Carrier For Chemical Looping Combustion, Neng Huang

Theses and Dissertations--Mechanical and Aerospace Engineering

Chemical looping combustion (CLC) is a promising technology that can mitigate the carbon emissions for power generation. The cost of oxygen carriers (OCs) impedes the scale up of CLC. Compared to synthetic iron-based OCs, red mud (RM), an abundant iron-based solid waste from industry, is a cost-effective choice due to its intrinsic inclusion of both inert and catalytic phases that are crucial for CLC. It was anticipated that the addition of copper oxide to RM using a mechanical mixing method that can be easily scaled up would enhance both reactivity and oxygen transport capacity (OTC), and the heat of reaction …

Utilization Of Uncrewed Aircraft Systems Towards Investigating The Structure Of The Atmospheric Surface Layer, Loiy Al-Ghussain

Theses and Dissertations--Mechanical and Aerospace Engineering

This study presents two approaches to investigate the surface-layer structure during the morning transition using uncrewed aircraft systems. The first approach employs three uncrewed aircraft systems- each equipped with a single multi-hole probe- simultaneously measuring horizontal transects were partnered with a fourth measuring vertical profiles during two consecutive mornings as part of the 2017 Collaboration Leading Operational Unmanned Aerial System Development for Meteorology and Atmospheric Physics (CLOUDMAP) measurement campaign near Stillwater, Oklahoma, U.S.A. Data were analyzed to extract time-dependent single-point statistics of kinematic and thermodynamic variables from the uncrewed aircraft systems. In addition, an approach is presented by which multi-point …

Mechanical Energy Harvester For Powering Rfid Systems Components: Modeling, Analysis, Optimization And Design, Alireza Babaei

Theses and Dissertations--Mechanical and Aerospace Engineering

Finding alternative power sources has been an important topic of study worldwide. It is vital to find substitutes for finite fossil fuels. Such substitutes may be termed renewable energy sources and infinite supplies. Such limitless sources are derived from ambient energy like wind energy, solar energy, sea waves energy; on the other hand, smart cities megaprojects have been receiving enormous amounts of funding to transition our lives into smart lives. Smart cities heavily rely on smart devices and electronics, which utilize small amounts of energy to run. Using batteries as the power source for such smart devices imposes environmental and …

Multiscale Modeling Of Cardiac Growth And Baroreflex Control, Hossein Sharifi

Theses and Dissertations--Mechanical and Aerospace Engineering

The heart functions within a complex system that adapts its function to any alteration in loading via several mechanisms. For example, the baroreflex is a short-term feedback loop that modulates the heart's function on a beat-to-beat basis to control arterial pressure. On the other hand, cardiac growth is a long-term adaptive response that occurs over weeks or months in response to changes in left ventricular loading. Understanding the mechanisms that drive ventricular growth and biological remodeling is critical to improving patient care. Multiscale models of the cardiovascular system have emerged as effective tools for investigating G&R, offering the ability to …

Anisotropic Material Behavior Of 3d Printed Fiber Composites, Jordan Garcia

Theses and Dissertations--Mechanical and Aerospace Engineering

Literature has shown that 3D printed composites may have highly anisotropic mechanical properties due to variation in microstructure as a result of filament deposition process. Laminate composite theory, which is already used for composite products, has been proposed as an effective method for quantifying these mechanical characteristics. Starting with the analysis of comparing the printing orientation of premanufactured carbon fiber reinforced filament, the mechanical properties of 3D printed objects were examined. The mechanical properties changed not only as a result of machine choice, but how the sample is oriented along the printing bed. The analysis continued with looking at the …