Digital Commons Network^™

Ecological Elemental Homeostasis And Stoichiometric Shifts: Biotic Responses To Ionic And Viral Stress, Samuel Anthony Tooru Dias

Graduate Theses and Dissertations

Anthropogenic activities are reshaping the elemental composition of freshwater ecosystems, often creating stoichiometric imbalances that influence the growth, physiology and interactions of aquatic organisms. Ecological stoichiometric theory (EST) provides a framework for examining these changes by linking organismal elemental regulation to broader ecosystem processes. While traditionally focused on elements, such as carbon (C), nitrogen (N), and phosphorus (P), emerging stressors highlight the need to expand this framework to be more elementally inclusive for the examination of novel interactions. My dissertation integrates abiotic (salinization) and biotic stressors (viral infection) into an EST framework to evaluate how these factors alter elemental regulation …

Contextual Embedding Using Machine Learning For Cybersecurity: Access Control And Application, Thanh Bui

Graduate Theses and Dissertations

Access control is a well-established challenge in cybersecurity, with significant research focused on enhancing system autonomy and accuracy across various scenarios. Access control rules can be designed based on users’ roles, attributes, or relationships requesting access to specific resources. However, despite their benefits, these models still require human oversight. As systems expand and grow, it becomes increasingly complex for administrators to maintain precise access control rules, often necessitating extensive system updates or even a complete overhaul. This dissertation introduces a novel approach that leverages contextual embedding for user information to enable the system to autonomously authorize user requests for resources. …

Unraveling Nucleation Mechanisms In Membrane Distillation: A Molecular Dynamics And Enhanced Sampling Approach, Nazanin Abbasi

Graduate Theses and Dissertations

Membrane distillation offers a promising route for desalination but remains limited by salt scaling, where mineral crystals nucleate and grow in concentrated brines. To inform strategies that mitigate scaling, this thesis investigates homogeneous nucleation in supersaturated aqueous NaCl solutions using molecular dynamics and enhanced sampling techniques. Several collective variables (CVs) are tested to capture the early stages of ion aggregation and crystal formation, including ion–ion coordination number, dehydration, and bond orientational order parameters Q₄ and Q₆. Enhanced sampling techniques, such as metadynamics and umbrella sampling, are employed to overcome the high free energy barriers associated with the formation of critical …

Using Color And Fluorescent Spectrometry As A New Rapid Cleaning Verification Method In Poultry Processing Plants, Clark Griscom

Graduate Theses and Dissertations

The poultry industry is expected to be growing at 3% in the total global market with the U.S. being the largest producer of poultry meat. Poultry processing plants are expected to produce 140 birds per minute with the potential of up to 175 birds per minute to meet the market demand. With the growing market and need for faster production, maintaining food safety needs to be a priority to ensure the safety of consumers. Over 9.9 million foodborne illness cases are reported each year in the United States. A change in food safety is needed, and one area lacking is …

When The Grid Goes Dark: A Digital Forensics Study Of Industrial Control System Cyberattacks, Katie Kettler

Graduate Theses and Dissertations

Industrial Control Systems (ICS) and Operational Technology (OT) maintain the grid, ensure water safety, and keep transportation running. Because they influence nearly every aspect of daily life, these systems have become prime targets for cyberattacks. The need for this research arises from the fact that when ICS and OT systems are compromised, the consequences go beyond data loss, and they can directly disrupt communities and endanger public safety. This thesis introduces digital forensics fundamentals and explains how investigations in ICS environments differ from those in traditional IT environments. This work then examines major attacks, including Stuxnet, the Ukrainian Grid Attacks …

Volume Status Detection With Integral Pulse Frequency Modulation Model Of Peripheral Venous Pressure, Jeremiah Rhys Wimer

Graduate Theses and Dissertations

This thesis studies the effectiveness of utilizing a modified integral pulse frequency modulation (IPFM) algorithm to synthesize peripheral venous pressure (PVP) waveforms for the detection of several physiological conditions using logistic regression. PVP waveforms are collected from 18 human patients and 4 porcine subjects. Human data are used to train models for determining the hypovolemic status of the patient, while the porcine data are used to train models for determining level of anesthesia and detecting internal hemorrhaging. In the human dataset, the waveforms collected from the 18 patients are classified into two groups according to serum chloride levels: resuscitated (≥100 …

Design Of Phase Shifter And True Time Delay Gan Mmics For High-Temperature Ku-Band Applications, Michael Lee Thompson

Graduate Theses and Dissertations

This thesis presents the design, implementation, and high-temperature characterization of Gallium Nitride (GaN) monolithic microwave integrated circuits (MMICs) developed for beamforming and phased-array systems operating in the Ku-band (12-14 GHz). Two integrated circuits were designed: a 3-bit digital phase shifter and a 3-bit true time delay (TTD), both optimized for high linearity, low insertion loss, low phase error, and stable operation at elevated temperatures up to 300°C. Developing both a phase shifter and a TTD enabled a direct comparison of their beamforming performance and the evaluation of beam squint effects over frequency, a critical factor in wideband array design. The …

Next-Generation Salmonella Inactivated Vaccine Platforms And Phytobiotic-Modulated Immune Responses In Poultry, Santiago Uribe Diaz

Graduate Theses and Dissertations

Here, a comprehensive understanding of immune responses triggered by either a multimeric CD40 receptor-agonistic DNA aptamer-based or mannosylated chitosan-based Salmonella Enteritidis inactivated vaccine platforms, along with phytobiotic supplementation as an immune modulatory strategy in response to Salmonella lipopolysaccharides, is presented. This dissertation supports the development of next-generation Salmonella vaccine platforms that simultaneously stimulate both protective cell-mediated and humoral immune responses, while indicating the potential immunomodulatory effects of phytobiotics supplementation to reduce the immunological impact of Salmonella lipopolysaccharides in chickens. The first chapter describes that both vaccine platforms administered in broiler chickens initiated local inflammatory responses, recruiting heterophils and macrophages from …

High Test-Retest Reliability Of Nucleus Accumbens Activity During Reward Anticipation, Nathaniel Bouton

Graduate Theses and Dissertations

Recent research has questioned the reliability of Functional Magnetic Resonance Imaging (FMRI). The findings suggest poor test-retest reliability of FMRI measures across brain areas and tasks, and specifically in subcortical brain areas during reward-related tasks. Further, data from the Adolescent Brain Cognitive Development (ABCD) study showed low reliability and low stability of the fitted coefficients from whole-brain regression analyses of the Monetary Incentive Delay (MID) task. However, optimizing methods might improve reliability, for example: (1) acquiring single-band rather than multi-band FMRI sequences, (2) extracting raw activity rather than fitted coefficients, and (3) honing analyses to target brain areas during specific …

Un-Imagining The Anglo Southwest And The Impossibility Of Trans-Scription, Lynnette M. Maphies

Art & Art History ETDs

This thesis is an interrogation of the Anglo Southwest as a problematic and persistent regional and national construct. I propose that the Anglo Southwest emerged at a pivotal moment in the late nineteenth century during which Americanist approaches to geography, anthropology, and the arts, were being shaped to define the region and determine the production and distribution of knowledge. This resulted in an Anglo view of the Southwest as uninhabited, silent, and imaginary, which omitted the actuality of silencing Native voices, cultural appropriation, and the taking of resources and land. Army surgeon and amateur ethnographer Washington Matthews (1843–1905) serves as …

Dolphins ‘Orient-Against-Current’: Foraging In Dredged Channels, Eliza M.M. Mills, Sarah Piwetz, Dara N. Orbach

Marine Science

Bottlenose dolphins (Tursiops sp.) are opportunistic foragers with global distributions that utilize diverse feeding tactics based on environmental factors, habitat features, prey behavior, group dynamics, and genetics. We describe a unique foraging tactic regularly observed in the confluence of dredged shipping channels with high anthropogenic disturbance, and explore potential abiotic (temporal, tidal, habitat) drivers of the behavior. A shore-based digital theodolite was used from 2021 to 2022 to observe common bottlenose dolphins (T. truncatus) foraging within a current in a technique we term Orient-Against-Current (OAC). During OAC, dolphins position themselves facing into the flow of a current, swimming at a …

Fisheries Research Report No. 363 : South-West Freshwater Angling: Estimates Of Participation, Effort And Catch For 2024/25, Claire B. Smallwood, Karina L. Ryan, Eva Lai

Fisheries Research Reports

South-West Freshwater Angling (SWFA) in Western Australia is a licensed fishery primarily targeting the Brown Trout (Salmo trutta) and Rainbow Trout (Oncorhynchus mykiss), which are stocked in selected dams and rivers, as well as the introduced Redfin Perch (Perca fluviatilis) and the native Freshwater Cobbler (Tandanus bostocki). Since 2000/01, annual phone-recall surveys have been undertaken using the SWFA licence database as the sampling frame. This monitoring provides information to understand the fishery and support future management decisions. For the first time, data are reported by basin for different waterbody types (public dams, rivers) as well as for specific key fishing …

June 30, 2023: Resurrections And Bad Omens Of A Nadir Court, Zamir Ben-Dan

UC Law Constitutional Quarterly

June 29, 2023 was monumental for racial justice advocates and scholars; the U.S. Supreme Court issued a major decision that eviscerated affirmative action while declaring itself a vanguard of racial equality. The Court’s race-related juridical activities on the following day, June 30th, received far less attention. On June 30, 2023, the Court denied certiorari in five cases directly implicating race. Those denials of certiorari generated five opinions, two concurring in the denial and three dissenting from denial. These five opinions should have created as much buzz as the Court’s affirmative action decision the day prior; examined together, they tell a …

The Role Of Procedural Due Process In Equal Protection And Affirmative Action Analysis: The Narrowly Tailored Prong, Simona Grossi

UC Law Constitutional Quarterly

The Supreme Court’s decision in Students for Fair Admissions v. Harvard College marked the end of affirmative action as traditionally practiced in higher education admissions, forcing universities to seek alternative legal pathways for fostering diversity. At the same time, the Trump administration’s executive orders targeting DEI initiatives have exacerbated the legal uncertainty, raising critical questions about how institutions can preserve fairness in admissions while withstanding both judicial and political scrutiny.

This article argues that Procedural Due Process—when read in conjunction with Equal Protection—provides a constitutionally sound and structurally fair framework for admissions policies that align with strict scrutiny while preserving …

Mechanisms Of Underwater Treadmill Walking In Persons With Brain Injury (Stroke And Cerebral Palsy), Oluwaseye Paul Odanye

Theses, Dissertations, and Student Creative Activity

People with brain injuries, like stroke, and children experiencing cerebral palsy (CP), tend to experience gait alterations and walking impairments due to injuries to regions of their brains. These impairments negatively affect the ability of affected individuals to function appropriately within their communities, necessitating task-specific gait training, such as underwater treadmill (UT) walking. UT walking is an intervention that leverages the buoyancy and hydrodynamic drag characteristics of water to the advantage of its users. Currently, there is no established baseline principle for applying UT walking mechanisms for rehabilitation.

This dissertation focused on investigating the mechanisms for UT use in persons …

Hypercalcemia Of Down Syndrome., Seth Lmb, Melissa Litao, Nasreen Talib, Jacob M. Redel

Manuscripts, Articles, Book Chapters and Other Papers

We present a case of hypercalcemia in a 12-month-old female with Down syndrome. The patient presented with significant weight loss (810 g since her 6-month visit) and severe growth failure (weight 5.8 kg, -4.5 SDs). Laboratory evaluation revealed severe hypercalcemia with appropriately suppressed PTH and 1,25-hydroxyvitamin D levels. Renal ultrasound confirmed medullary nephrocalcinosis. After excluding common etiologies, the patient was diagnosed with hypercalcemia of Down syndrome, also termed Abnormal Calcium, Calcinosis, Creatinine in Down syndrome. Treatment with intravenous fluids, calcitonin, and transition to a low-calcium formula (Calcilo XD) normalized serum calcium levels. The patient maintained normal calcium levels on restricted …

2025-12-01 Course Proposal / Course Suspension / Deletion Forms, Morehead State University. Faculty Senate., University Graduate Committee.

Faculty Senate Records

Course proposal, suspension, and deletion forms approved on December 1, 2025 by the University Graduate Committee.

Asymptote, Aybuke Yilmazer

Theses

Asymptote is a short film that is an expression of mankind’s emotional consumption through confusing love with sex. This film is a frame-by-frame hand-drawn animation that combines digital and analog techniques. It was produced between August 2024 and April 2025, and its music was re-produced in August 2025. This paper is a written declaration of the motives and intentions of the director, Aybuke Yilmazer, in making this film, and analyzes the filmmaking process. The text of the thesis is in third person except for the self-evaluation section.

These Yellow Stars Of Ours, Vinh Hong Nguyen

Theses

These Yellow Stars of Ours is an experimental documentary that traces the intertwined histories of Thaun and Nam Nguyen as they flee war-torn Vietnam, fall in love, and build a life in Western New York. Through their accounts and those of their two sons, the film explores the complexities of generational trauma and the ongoing experience of bicultural straddling—the negotiation between inherited Vietnamese identity and the shaping influence of an American upbringing. The project examines how trauma, memory, and cultural displacement circulate across generations, shaping identity in both visible and invisible ways. Methodologically, the film is structured around the conceptual …

Early Diabetes Prediction Using Machine Learning: A Comparative Study Of Classification Models, Ahmed Abdelqadir Bawazir

Theses

The current dissertation investigates the application of machine learning in diabetes prediction at early stages through a comparison of the performances of three classification models, including Logistic Regression, Decision Tree, and Random Forest. Inspired by the increased and spread cases of diabetes worldwide, the research objective is to facilitate early diagnosis by providing interpretable and accurate predictive models. Based on Pima Indians Diabetes Dataset containing 768 clinical records, the research implemented data preprocessing including KNN imputation and outlier processing, feature scaling, and formation of interaction features. Quantitative and comparative approach was made to train and test the models based on …

Assessing The Impact Of Gis Data Inaccuracies On Urban Infrastructure, Majid Aldashti

Theses

Urban infrastructure delivery is a complex process influenced by project type, spatial distribution, stakeholder coordination, and data quality. This thesis examines the application of Microsoft Power BI, a no-code visual analytics tool, as a means to analyze performance patterns in urban projects and inform decision-making in smart city governance. The study uses a structured secondary dataset simulating over 600 infrastructure projects across various departments and neighborhoods. By transforming raw data into an interactive dashboard, the research explores relationships between delay rates, customer satisfaction, budget compliance, and technology adoption. The analysis revealed that project categories such as metal furniture and police …

Three Forks, Virginia Van Enckevort

Theses

Three Forks is a thesis drama series about a 19th-century woman sent West to live with her estranged family in Muscogee, a lawless town where justice bends to power and survival means learning the game — or being buried by it. As we follow our lead, Eleanor Davis, out West and eventually her settlement into town, we gain a look into her new world, one where tribal council contend with encroaching U.S. jurisdiction and where settlers, freedmen, and railroad men jostle for influence in a town on the brink of statehood. The many fabled stories and myths about the West …

Machine Learning Approaches For Predicting And Preventing Vehicle Theft, Hamad Almutawa

Theses

This study develops a data-driven framework for predicting vehicle theft using machine-learning techniques applied to a comprehensive crime dataset containing demographic, spatial ,and operational policing variables. The dataset, sourced from publicly available crime records, included 9,712 cases and 30 variables, with minimal missing data and balanced class distribution. After performing extensive preprocessing—including outlier analysis, missing-value imputation, categorical encoding, feature selection, and correlation testing—four supervised classification models were implemented: Logistic Regression, Random Forest, Support Vector Machine, and a Neural Network. Bivariate statistical tests, including Chi-square and Mann–Whitney U, revealed significant relationships between theft occurrence and factors such as crime area, luxury …

Advancements In Ml Via Efficient Generative Modeling, Robust Domain Adaptation, And Explainable Multimodal Retrieval, Prasanna Reddy Pulakurthi

Theses

The rapid evolution of AI heightens the need for learning systems that are efficient, robust, and explainable. This dissertation advances these three pillars through innovations in classification, generative modeling, domain adaptation under data-scarce conditions, and multimodal retrieval. Collectively, the methods reduce dependence on large, labeled datasets, improve adaptability under distribution shifts, enable deployment on resource-constrained platforms, and enhance interpretability. For classification, the Iterative Maximum Likelihood Classifier (IMLC) recasts regularized maximum likelihood training as a fixed-point contraction with convergence guarantees, enabling faster and more stable optimization. Results on synthetic data and MNIST validate its efficiency. For generative models, we introduce Parametric …

Trust Calibration In Human-Ai Teaming: Within-Session Dynamics, Transparency, And Performance Effects, Mohamed Ahmed Aljaziri

Theses

Trust plays a decisive role in the effectiveness of human-AI teams, particularly in tasks that depend on coordinated decision-making under uncertainty. While prior research acknowledges that trust in automation is dynamic, current work provides limited insight into how trust evolves within an interaction, what causes it to become miscalibrated, and how transparency affects these processes. This thesis examines trust calibration in a controlled 2-D grid-world search-and-rescue environment, where 54 participants collaborated with an AI teammate presented through four communication modes based on the Ability, Benevolence, and Integrity (ABI) framework. The study uses secondary analysis of experimental data to observe: (1) …

Practice?, Pei Chen

Theses

3D animation is a combination of art and technique. Art serves to convey your perspective, express beauty, tell stories, and more. However, to accomplish these goals, we need solid technical support. Only by paying attention to both, can we achieve excellent results. The title of this film is “Practice?”, which is a deliberate pun. On one hand, "practice" refers to the martial arts training sequences of the character, during which his master provides guidance, intervenes in his movements, and progressively increases the difficulty. On the other hand, "practice" also symbolizes my own artistic and technical experimentation—exploring and refining skills in …

The Environmental Impact Of Rapid Construction In Australia, Ahmad Alsubousi

Theses

This research examines the degrading effect of the high-rate of construction in Australia especially on the generation of waste, effectiveness of policies to be applied regarding waste and sustainability implication. The research utilizes regression analysis, clustering, and forecasting based on ARIMA with data provided by National Waste Report (2006 07 to 2022 23) to analyse the magnitude and the factors affected by construction and demolition (C&D) waste that ended up being the major factor of overall waste production in Australia. Findings depict an observable upward trend in C&D waste along with landfill use and variations in the performance of waste …

Physics Meets Data: Merging Physics-Based Methods With Deep Learning To Model Complex Systems, Maryam Toloubidokhti

Theses

Accurate modeling of complex systems is crucial in domains such as healthcare, where personalized diagnosis and treatment planning are essential. Traditional physics-based models provide structured, theoretically grounded insights but are often computationally intensive and constrained by simplified assumptions that limit adaptability to patient-specific conditions. In contrast, data-driven models are computationally efficient and capable of capturing complex patterns, yet they often lack interpretability and fail to incorporate essential physical principles, reducing robustness and generalization. This disconnect between mechanistic understanding and computational practicality presents significant challenges in critical applications such as healthcare, where both physical accuracy and real-time performance are vital. To …

The Role Of Technology In Modernizing Prison Management Systems, Essa Anwahi

Theses

This thesis examines the role of technology in modernizing prison management systems and improving operational efficiency, security, and decision-making. It explores how digital technologies and data analytics can address challenges in traditional prison management, such as inefficient processes and limited data utilization. The study highlights the potential of technology-driven solutions to enhance system performance and support more effective management practices within correctional facilities.

Predicting Employee Attrition With Machine Learning: Data-Driven Strategies For Enhancingworkforce Retention, Ali Almheiri

Theses

In this research, the dual prediction and prescription model is developed and validated so that this model can not only predict employee turnover risk, but it also proposes the appropriate retention interventions, which apply across industries. On the basis of the IBM HR Analytics Attrition dataset (n=1,470), we preprocessed demography, job and satisfaction variables and trained three machine-learning classifiers, Random Forest, Logistic Regression and XGBoost to predict voluntary turnover. XGBoost model recorded the best discrimination (AUC=0.87), sensitivity (0.76), and specificity (0.81), which signifies strong predictive power. Analysis of feature-importance was conclusive with time, rate of frequent business travel and compensation …