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Remediation Impacts Metal Concentrations And Metal Tolerant Bacteria In Soils Of The Missouri Tri-State Mining District, Ophelia R. Pettington

Graduate Theses/Dissertations

After over 100 years of Zn and Pb mining in the Tri-State mining district (TSMD), former mines continue to be sources of metals. Metal contaminated soils can be remediated using plant-microbe interactions. Plants manipulate their microbiome and recruit microbes to increase metal tolerance. Remediating bacteria are site-specific and identifying native microbes can accelerate remediation efforts. Studies relating microbes and metal concentrations in remediated areas in the TSMD are scarce. I collected root and bulk zone soils associated with Andropogon virginicus from remediated and non-remediated sites in Webb City, MO. I used 16S rRNA gene amplicon sequencing to evaluate the bacterial …

Heterogeneous Robots Cooperation Via Multi-Agent Reinforcement Learning, Rehab Uddin Shawon

Graduate Theses/Dissertations

Enabling heterogeneous robots with diverse capabilities, roles, and task responsibilities to coordinate effectively in complex, dynamic environments remains a fundamental challenge in autonomous multi-robot systems. Multi-Agent Reinforcement Learning (MARL) provides a promising framework for decentralized cooperation. However, most existing MARL approaches assume homogeneous agents or fixed single-task settings and suffer significant performance degradation as the number of robot and task types increases. This thesis presents a scalable shared-policy MARL framework that allows heterogeneous robots to learn specialized behaviors for individual, sequential, and collaborative tasks involving temporal and spatial dependencies through a single neural policy. I first embed robot identity directly …

Climate Change In Gilgit-Baltistan: Satellite-Based Land Use/Land Cover Change Detection, Socio-Economic Dimensions, And Adaptation Strategies, Ali Muhammad

Graduate Theses/Dissertations

Climate change is increasingly transforming the cryosphere, hydrology, and human landscape of Gilgit-Baltistan, a highly climate-sensitive mountain region in northern Pakistan. This thesis investigates these transformations through satellite-based land use/land cover (LULC) change detection in four representative tehsils of Gilgit-Baltistan—Ali Abad, Gilgit, Nagar, and Sikander Abad—selected to span a gradient of human pressure and cryospheric exposure within the region. Using summer, cloud-free (< 10%) imagery from USGS Landsat 7 (2000) and Landsat 8 (2025), it conducts a multi-temporal comparison of environmental and socio-spatial change. After atmospheric correction and band compositing, the imagery is classified in ArcGIS Pro into six classes—Water, Barren land, Vegetation, Snow, Glacier, and Built-up—using a Support Vector Machine (SVM) classifier, with Maximum Likelihood Classification and Random Forest also tested but found less suitable for the final workflow. The analysis detects a pronounced reduction in mapped glacier-class area alongside a comparatively stable snow class, together with built-up expansion, while examining how temperature, precipitation, tourism, and population dynamics relate to observed LULC transitions. The results reveal a pattern of cryospheric decline and urban growth, with implications for water availability, ecological stability, hazard exposure, and settlement pressure. By integrating geospatial change detection with climatic and socio-economic interpretation, the thesis moves beyond mapping to explain interacting environmental and human drivers of landscape transformation and provides a reproducible remote-sensing baseline for monitoring land-surface change in heterogeneous mountainous terrain. It recommends integrated water-resource management, climate-resilient land-use planning, watershed and glacier monitoring, and sustainable tourism governance, supporting evidence-based decision-making by the Government of Gilgit-Baltistan and organizations working on climate adaptation, disaster risk reduction, and sustainable regional development.

Advancing Hate Speech Detection: Binary And Multiclass Approaches From Traditional Methods To Parameter-Efficient And Ontology-Guided Language Models, Mahmoud Abusaqer

Graduate Theses/Dissertations

The widespread proliferation of hate speech on social media platforms poses significant challenges for content moderation and user safety, requiring automated systems that are simultaneously accurate, efficient, and capable of fine-grained distinctions. This thesis investigates hate speech detection through five published manuscripts organized into two complementary threads: binary detection (hateful vs. non-hateful) and multiclass detection across demographic targeting categories. The binary thread progresses from a broad 38-model baseline spanning traditional machine learning, deep learning, and transformer architectures (where RoBERTa reaches 91.48% accuracy and CatBoost remains competitive at 88.60%) to parameter-efficient adaptation, in which Low-Rank Adaptation (LoRA) of large language models …

Synthesis And Characterization Of The New G3 Family Of Organoantimony(V) Cyanoximates, Thao Trang Phan

Graduate Theses/Dissertations

Bacterial infections pose a serious threat to humans by developing resistance, rendering antibiotics ineffective. Of the 12 antibiotics recently approved since 2017, 10 belong to an already existing class. Various resistance mechanisms, such as reduced drug uptake, active efflux, drug inactivation, and target modification, can significantly reduce the efficacy of entire classes of antibiotics. Discovering novel strategies to overcome diverse mechanisms of resistance and improve therapeutic efficacy is in high demand. Inorganic compounds with organic ligands (both complexes and organometallics) represent a new class of compounds against which antimicrobial resistance has not yet been established. Recently, we discovered two series …

Strict Scrutiny And The Viewpoint Continuum, A.G. Harmon

Scholarly Articles

Consider the following instances: A cell phone photograph picturing a man's left kneecap. A statement that the speaker thinks, "The name Josiah is really cool." A woman who runs her bicycle over a business owner in order to gain celebrity and increase attention for her new podcast. An intentional lie told to acquire a job. A student who insists on answering his math exam questions in runic symbols.

At one point or another, American courts have considered the merits found in favor of instances similar to these and other like circumstances as amounting to "viewpoints." As such, they …

The Constitutional Significance Of The First American Pope: The Promise Of Listening In An Era Of Mutual Suspicion, Derek A. Webb

Scholarly Articles

Pope Leo XIV has focused a good deal of writing and speaking in the first year of his pontificate on the theme of listening, dialogue, and bridgebuilding. For Leo, listening, dialogue, and creating harmony across diverse perspectives where possible are at the heart of the Christian life. But his reflections on these themes, while rooted in theology, are aimed at a wider audience, going well beyond the church community, and addressing philosophical issues of universal human concern. Indeed, the first American pope happens to be highlighting certain ideals regarding dialogue that, while perhaps forgotten today, are central to the American …

Engineering Broiler Efficiency Through Modern Infrastructure Design And Precision Control, Chris Travers

Proceedings of the Arkansas Nutrition Conference

These proceedings describe a modern, innovative broiler site in South Africa constructed with the following objectives in mind: Scale, Energy Efficiency, Precision Environmental Control with AI Integration, and Off-Grid Power Autonomy.

Guide To: Conferences. Brigham-Kanner Property Rights Conference, Wolf Law Library Archives

Collection Guides & Finding Aids

No abstract provided.

Attenuation Of Cardiac Dysfunction In The Collagen-Induced Arthritis Mouse Model Mediated By A Reactive Aldehyde Species Inhibitor, Wenxian Zhou, Hannah J. Johnson, Michael J. Duryee, Ali Namvaran, Aradhana Thapa, Cole Blasing, Amy J. Nelson, Engle E. Sharp, Carlos D. Hunter, Bryan T. Hackfort, Bryant England, Tate M. Johnson, Daniel R. Anderson, Adam Lazorchak, Robert G. Bennett, Jill A. Poole, Keshoer R. Bidasee, Geoffrey M. Thiele, Ted R. Mikuls

Journal Articles: Cellular & Integrative Physiology

Individuals with rheumatoid arthritis (RA) experience increased risk of heart failure. Malondialdehyde-acetaldehyde (MAA) adducts are overexpressed and co-localize with citrullinated (CIT) proteins in RA myocardium. This study investigated whether reactive aldehyde species (RASP) inhibitors prevent MAA formation in vitro and attenuate cardiac dysfunction in a collagen-induced arthritis (CIA) mouse model. Among eight RASP inhibitors screened, ADX-246 demonstrated the greatest inhibition of MAA formation in vitro. Mice with early CIA (week 5) exhibited elevated levels of myocardial MAA adducts, myocardial inflammation, and reduced ejection fraction, but normal cardiac collagen deposition and diastolic function vs. control. By weeks 10-12, mice with chronic …

Promptable Segmentation For Adaptive And Data-Efficient Medical Image Analysis, Tyler Ward

University of Kentucky Doctoral Dissertations

Image segmentation is a fundamental task in computer vision. While segmentation models have traditionally been trained in a fully-supervised manner, recent approaches have leveraged large-scale pre-training and prompting mechanisms to great effect. However, the performance of such approaches often degrades when applied to domain-specific tasks like medical image analysis. A major reason for this lies is that these models are trained on large, labeled datasets of natural images, which have drastically different characteristics compared to medical images, limiting the generalizability of the methods when applied to medical data. This dissertation presents several data-efficient, adaptive, and promptable medical image segmentation models. …

Engineering Plga Nanoparticle Size To Modulate Immune Responses After Spinal Cord Injury, Daniel J. Kolpek

University of Kentucky Doctoral Dissertations

Spinal cord injury is a severe and debilitating condition that often results in lifelong complications, including paralysis. Many of these chronic outcomes are driven by a sustained inflammatory response at the injury site, which limits tissue regeneration and functional recovery. As a result, therapeutic strategies that modulate this immune response have gained significant interest. Polymer based nanoparticle therapies have emerged as a promising approach due to their ability to interact with and influence immune cell behavior. Importantly, the physicochemical properties of nanoparticles can be precisely tuned to optimize these effects. Among these properties, size has been shown to influence key …

Multiscale Modeling Of The Thermomechanical Behavior Of Polymeric And Molecular Organic Semiconductors, Kehinde H. Fagbohungbe

University of Kentucky Doctoral Dissertations

Organic semiconductors, derived from π-conjugated polymers and molecules, enable the development of deformable, stretchable and flexible electronics due to their tunable redox, optical, electronic and mechanical properties. However, an informed understanding of how multi-scale morphological characteristics of the polymeric and molecular semiconductors influence bulk properties that contribute to electronic and optical performance, especially under operational thermal and mechanical stresses, remains incomplete. This lack of understanding poses a challenge to scalability and commercialization of organic electronics. This dissertation develops and deploys computational modeling approaches, particularly atomistic molecular dynamics (MD) simulations, to investigate the multiscale morphological behavior of these synthetic semiconducting materials …

Non-Invasive Digital Restoration Of Damaged Photographic Film Negatives, Ankan Bhattacharyya

University of Kentucky Doctoral Dissertations

Physical restoration of damaged photographic film causes more damage. Also, existing non-invasive digital restoration of film negatives does not produce print-quality optical images. Instead, they produce X-ray projections, which are not the same as optical projections. This thesis addresses these problems and establishes a framework that can digitally restore old, damaged films without the need to open them physically. Virtual Unwrapping is an existing pipeline that has proven itself over the last couple of decades to work on unopenable papyrus scrolls, like the Herculaneum Scrolls. This thesis utilizes the concept of virtual unwrapping to restore damaged photographic film negatives. Due …

The Power Of A Picture: Building Visual Depictions Of The Eppm Bolstering Sunscreen Application Motivation, Ansley M. George

University of Kentucky Doctoral Dissertations

This study investigates visual depictions of efficacy skin cancer health risk messages. Using Witte's Extended Parallel Processing Model (EPPM) and existing literature on fear appeals and visual persuasion as a theoretical framework, the study aims to explore how self and response efficacy imagery impacts individuals' perceptions of health risk messages in the context of skin cancer prevention when emphasizing specific principles of design. Formative research was employed via qualitative photo sorts and participants were exposed to an assortment of images depicting efficacy in the context of skin cancer prevention where they discussed why they felt they were or were not …

An Ethical Analysis Of International Graduate Student Workers' (Igsws) Employment Vulnerability, Adeola F. Oladeji

University of Kentucky Doctoral Dissertations

International graduate student workers (IGSWs) occupy a distinctive position within U.S. higher education as students, employees, and temporary visa holders. Their academic progress, financial support, and legal authorization to remain in the United States are often closely intertwined, creating dependencies that heighten their vulnerability to exploitation, unequal treatment, and institutional power imbalances. Although previous scholarship has documented these challenges from empirical, legal, and policy perspectives, comparatively little attention has been given to universities' ethical responsibilities toward IGSWs.

This dissertation examines how U.S. higher education institutions should fulfill their ethical responsibilities to international graduate student workers. Grounded in Dewey's pattern of …

Proactive Safety Reasoning In Human-Robot Collaboration In Disassembly Through Llm-Augmented Stpa And Fmea, Morteza Jalali Alenjareghi, Fardin Ghorbani, Samira Keivanpour, Yuvin Adnarain Chinniah, Sabrina Jocelyn

Études primaires

Disassembly tasks in human–robot collaboration (HRC) environments present safety challenges due to hazardous materials, control system variability, and physically demanding operator tasks. To address these challenges, we propose an AI-augmented risk assessment framework integrating System-Theoretic Process Analysis (STPA) and Failure Mode and Effects Analysis (FMEA). This framework is implemented in four configurations: Term Frequency– Inverse Document Frequency (TF-IDF), Fine-tuned Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and RAG with a structured Knowledge Graph (KG) built from safety standards. The system supports real-time, standards-compliant safety reasoning by generating interpretable, context-specific recommendations. We evaluate these configurations across GPT-3.5 TURBO, GPT-4o, GPT-4.1, and …

A Scalable Magnetic Field Mapping Approach For Pouch-Type Lithium-Ion Batteries, Luiz G.C. Melo, Chun H. Law

Études primaires

Ensuring safety in energy storage systems increasingly relies on advanced diagnostic tools, among which magnetic field mapping plays a critical role. This work aims to develop and validate a high-sensitivity magnetic field sensor array for accurate field mapping and preliminary battery diagnostics. We present a 4 × 4 array of magnetic sensors integrated with a calibration procedure to ensure accurate output. The system was experimentally tested by characterizing the magnetic field generated by two planar copper conductors. Finite element simulations were performed for comparison and validation. Experimental measurements exhibited strong agreement with the simulation results, confirming the reliability of the …

Advancing Greenhouse Air Filtration: Biodegradable Nanofiber Filters With Sustained Antimicrobial Performance, Amirali Bajgholi, Reza Jafari, Alireza Saidi

Études primaires

Air quality management in greenhouses is critical to safeguarding plant health and occupational safety, yet conventional filtration methods often fall short in performance and sustainability. These enclosed environments are prone to the accumulation of bioaerosols, including fungi, bacteria, pollen, and dust particles, which can compromise crop productivity and pose health risks to workers. This review explores recent advancements in air filtration technologies for controlled environments such as greenhouses, where airborne particulate matter, bioaerosols, and volatile organic compounds (VOCs) present ongoing challenges. Special focus is given to the development of filtration media based on electrospun nanofibers, which offer high surface area, …

Lumbosacral Orthosis Can Improve Postural Control In Older Adults With Chronic Low Back Pain, Régis M.-L. D'Assomption, Christian Lariviere, Hakim Mecheri, Suzy Ngomo, Rubens A. Da Silva

Études primaires

Background

Older adults with chronic low back pain may report poor postural control and increased fall risks. Possible key mechanisms are altered lumbar spine proprioception, stiffness and mobility, which could be enhanced through lumbar stabilization approaches. The purpose of this study was thus to evaluate the immediate effects of two lumbar stabilization approaches on postural control measures, namely a lumbosacral orthosis and the abdominal drawing-in maneuver.

Methods

57 older adults (> 65 yrs): 22 with chronic low back pain and 35 healthy controls performed two trials (30 s) of a semi-tandem balance task on a force platform, while three experimental …

Rendering Knowledge Graphs From Aerospace Dentistry Processes For Clinical Decision Support Systems, Muhammad Tuan Amith, Jessica Vu, Serena Hou, Vinu Sista, Yang Gong, Ronak Shah, Ana C Neumann

Faculty, Staff and Student Publications

NASA and commercial space flight companies expect to make long-term missions into deep space with the Artemis project and Mars mission. Health care in deep space is a priority as the missions require limited crew and equipment to accommodate astronauts' needs. Analyzing the probable clinical procedures and workflows for this setting is needed to ensure quality care and safety. This paper introduces Business Process Modeling and Notation (BPMN) and OWL2-based modeling to represent aerospace dental workflows for low-earth orbit and potential deep space missions. We developed BPMN process models and created ontology-based knowledge graph representations for individual dental procedures using …

A User-Friendly Graphical User Interface For Paw Touch Classification In Rodent Cylinder Testing, Tyler R Johnson, Katherine D Zerefos, Dawn M Taylor

Faculty, Staff and Student Publications

In unilateral rodent models of disease or injury, deficits are induced in only one side of the body, allowing the difference in right versus left limb usage to serve as a metric of disease/injury severity and recovery with various treatments. Unilateral rat models are commonly used for conditions such as Parkinson’s disease (via the neurotoxin 6-hydroxydopamine, 6-OHDA), stroke, and traumatic brain injury, as well as cervical spinal cord injury and peripheral nerve damage. The ‘cylinder test’ has been used for over two decades as a reliable metric of asymmetry in forelimb usage. In this test, videos are taken of the …

The Performance Of Machine Learning Algorithms In Predicting Under-Five Anaemia In Tanzania, Henry Ofori Duah, Derrick Nyantakyi Owusu, Godwin G. Duah, Paul Shidende

College of Nursing Faculty Research and Publications

Aim

Anaemia in children under five remains a major public health concern, contributing significantly to global child morbidity and mortality. With the rise of machine learning (ML), novel opportunities exist to model and predict anaemia more effectively. This study aimed to evaluate and compare the performance of five ML algorithms in predicting anaemia among under-five children in Tanzania.

Methods

We conducted a secondary data analysis using the 2017 Tanzania Malaria Indicator Survey (TMICS). The dataset (n = 5906) was randomly split into training (70%) and test (30%) sets. Five ML algorithms, Linear Discriminant Analysis (LDA), Logistic Regression, Random Forest (RF), …

Polysemicolon; Novice Programmers And Java Keywords, Briana C. Bettin

Michigan Tech Publications

Most industrial programming languages leverage the English language for reserved keywords – words which a program compiler recognizes as specific execution commands. The divide between expert and novice programmers showcases an intriguing middle-ground by which the polysemy of many keywords becomes revealed. This essay explores a sampling of the multitude of keyword interpretations that a novice programmer may derive from the Java language’s syntactic style and keywords specifically, and how the polysemy of both “English” and “code” meanings to these terms affects the novice-expert programmer transition.The transition from novice to expert, and the mapping of the career of metaphor to …

Large Aerosol Particles Favor Haze Conditions Through Limitations On Water Budget And Activation Kinetics, Hamed F. Sadi, Ernie Lewis, Kadja Flore Gali, Fan Yang, Jesse Anderson, Suryadev Pratap Singh, Jae Min Yeom, Will Cantrell, Raymond Shaw

Michigan Tech Publications

Experiments in the Pi Convection‐Cloud Chamber conducted by systematically changing the diameter of injected dry aerosol particles while holding the temperature difference constant demonstrate that dry diameter strongly influences the onset of haze‐dominated conditions. Two factors contribute: the system becomes water‐limited, resulting in reduction of supersaturation by growing aerosol particles to the activation diameter; and the activation process becomes kinetically limited. Dry aerosol diameter exerts a strong influence on activation time, with a power‐law exponent of 9/2. Kinetically limited activation occurs when the ratio of the activation and droplet residence times is greater than unity. The findings demonstrate that a …

Equity And Justice In Water Pricing And The Effects On Water Distribution System Management, Brian Barkdoll

Michigan Tech Publications

Equity regarding access to potable water is paramount. Municipal Water Distribution Systems supply potable water to users and are essential to public health. To find the optimal price of water to maximize utility revenue and allow changes to the system components for capital and maintenance expenditures, network modeling was performed for 15 real MDWSs. A new power-law price-usage elasticity curve, entitled the Power Law Elasticity Function (PLEF), was used that allowed for various users, both high- and low-income, and a non-discretionary level of usage. It was found that: (1) the maximum profit was obtained when the price was approximately 0.8 …

An Educational Intervention On Mutual Goal Setting For Hospital Nurses: A Mixed-Methods Study, Teresa Jerofke-Owen, Kristi Opper, Joseph Beiler, Maharaj Singh

College of Nursing Faculty Research and Publications

Background:

Including patients in mutual goal setting is one mechanism to personalize care delivery and improve patient outcomes.

Objective:

The purpose of this study was to examine the impact of a nurse educational intervention about mutual goal setting on nurse engagement and self-efficacy for goal setting and the nurse/patient experience of goal setting.

Methods:

During this explanatory, sequential mixed-methods study, nurse engagement in goal setting and goal quality was assessed through chart audits 1-month pre-intervention (n = 173) and 1 and 3-months (n = 144, n = 137) post-intervention. Nurse self-efficacy was measured with the Appraisal Inventory Tool. Patient experience …

Beyond Numbers: Bridging Statistical Significance And Clinical Relevance In Healthcare Research, Maharaj Singh, Waheeda Khan, Mehreen Fatima

College of Nursing Faculty Research and Publications

Objective: This study aims to bridge the gap between statistical significance and clinical relevance using rigorous statistical methodologies applied to simulated healthcare data, thereby enhancing the translational value of research outcomes for patient‑centered care. Methods: A synthetic dataset representing 10,000 patients was generated, and descriptive statistics were applied to compare two treatment groups. Binary outcomes were predicted using both a logistic regression model and a neural network. Two‑tailed tests with a significant level of 0.05 were employed, utilizing SAS version 9.4 and IBM SPSS Statistics, Version 29.0 (IBM Corp., Armonk, New York, United States of America). Results: The simulated dataset …

Centered A Story Of Family And Compassion In The Face Of Parkinson's Disease, Savannah Hill

Graduate Studies Theses and Dissertations 2026

Centered is a three-dimensional (3D) animated short film that explores the topic of parental illness and how families must respond with compassion and adaptability when loved ones face mental or physical challenges. The story is inspired by the director’s own experience with her father’s diagnosis of Parkinson’s Disease when she was in high school. The main characters, a father and daughter, must navigate the father’s changing needs after his diagnosis by prioritizing their connection and adapting to his new physical challenges. In the film, they do this through the creation of pottery. The imperfect, handmade design style of the film …

Physical Activity And Health Outcomes In Children With Dyslexia During Summer Versus School Months, Tina J. Glatz

Graduate Studies Theses and Dissertations 2026

Children in the United States continue to experience rising rates of overweight and obesity. Children with learning disabilities are twice as likely to have obesity than typically developing peers, partly due to difficulties with motor skills and behavior regulation. The purpose of this study was to examine and compare differences in health outcomes and physical activity (PA) during summer versus school months in children with dyslexia, using a within- subject study design.

At three timepoints (May, August, December 2025), children’s height, weight, and fitness were measured via a portable stadiometer, dual-frequency foot-to-foot bioelectric impedance device, and Progressive Aerobic Cardiovascular Endurance …