Comparative Machine Learning Models For Disease Risk Prediction, Mercy Mawusi Agbley

Theses, Dissertations and Capstones

Accurate prediction of disease outcomes is crucial for improving clinical decision-making and enabling early intervention. This study compares the performance of various statistical and machine learning models for clinical risk prediction using two healthcare datasets: diabetic retinopathy and heart disease. The models assessed include Logistic Regression, LASSO, k-Nearest Neighbors (KNN), Support Vector Machines (SVM), Neural Networks, Random Forests, Gradient Boosting Machines (GBM), and a stacked ensemble model. Prior to modeling, datasets were split into train and test sets. Standardization was applied to numeric features whilst categorical features were one-hot encoded. These transformations were later applied to the test set. Principal …

The Link Fantastic: Detecting And Linking Simulated, Nongravitationally-Accelerating Objects With The Rubin Observatory Pipeline, Ellie White

Theses, Dissertations and Capstones

Rubin Observatory’s Legacy Survey of Space and Time (LSST) is poised to revolutionize our understanding of the Solar System. After only a few months of regular operations, Rubin has already discovered over 11,000 new Solar System bodies, and is projected to discover millions more. With discoveries pouring in, and with the development of moving object detection pipelines for routine observing, one key question is: how effectively can Rubin detect and identify objects with anomalous trajectories? The answer is of interest not only for natural bodies in our Solar System, but also in the search for technosignatures, which could be identified …

Spatial Temporal Modeling Of Infectious Disease Patterns In Texas, Robert E. Lashbrook

Earth & Environmental Sciences Theses

The Texas Department of State Health Services monitors numerous notifiable conditions statewide, including Campylobacter, Salmonella, Shiga toxin-producing Escherichia coli (STEC), Rabies, and West Nile virus (WNV). Given the substantial health, economic, and public health burden associated with these conditions, improving prediction is an important step toward reducing their overall impact. This study evaluated whether external demographic, social, climate, and environmental data could improve prediction of county-year disease activity across Texas. County level data was analyzed using supervised machine learning models, including linear regression, ridge regression, multilayer perceptron, random forest, XGBoost, as well as K-means clustering to identify broader …

Chaotic Complexity: Order And Chaos In Works Of Cage, Xenakis And Boulez, Levi Graham

Music Theses

My thesis explores specific applications of chaos theory in contemporary twentieth-century music and analyzes the relationship between order and chaos in their creation. I will do this by referencing the levels of chaos presented by Katherine Hayles and categorized by Judith Lochhead. These levels of chaos include “Expressive Chaos,” “Denotative Chaos,” and “Ontological Chaos,” which provide a framework for grouping expressions of chaos in music.  I will analyze works of John Cage, Iannis Xenakis and Pierre Boulez through the lens of these types of chaos, with a particular focus on “Ontological Chaos,” which describes chaos as both dependent on and …

Investigating The Viability Of Fully Online Asynchronous Physics Instruction In Formal Education, Clifton W. Massey-Noel

Physics Dissertations

In this dissertation we present results from two consecutive investigations into the fully online asynchronous modality in Physics Education. We first discuss the efficacy of a fully online asynchronous section of Modern Physics held in Fall 2024. The asynchronous section is compared with four prior partially-flipped sections of the same class, two of which were held in-person, and two of which were held synchronously online. Results suggest that all three modalities can be made to be about equally as effective. We also discuss the efficacy of a fully online asynchronous section of Calculus-Based Introductory Mechanics held in Fall 2025. The …

Proposed Design Approach Of Bolted Cruciform Stiffened End-Plate Connections And Bolted Circular Flange Plate Connections Under Combined Loading For Enhanced Economy And Performance, Cesar E. Aguirre

Civil Engineering Dissertations

This research will deliver a substantive contribution to the advancement of design practice for bolted circular flange connections and cruciform stiffened end-plate connections — critically evaluating existing approaches, identifying their limitations, and proposing evidence-based design frameworks that enhance structural performance, predictability, and safety across relevant engineering applications.In addition provide economical benefits.

A Hybrid Response Surface Methodology And Machine Learning Framework For Quantifying Effects Of Physicochemical Parameters On Pfas Distribution, Harsh V. Patel, Jazmin Green, Hyoshin Park, Stephanie Luster-Teasley Pass, Renzun Zhao

Engineering Management & Systems Engineering Faculty Publications

Predicting PFAS adsorption across diverse adsorbents and environmental matrices remains challenging because adsorbent physicochemical properties, PFAS molecular descriptors, and operational conditions simultaneously influence adsorption. This study develops and evaluates a unified hybrid modeling framework that integrates Response Surface Model (RSM) with machine-learning algorithms to quantify how six key variables, surface area, Log K_ow, pH_pzc, pK_a, log dose, and log-initial concentration, affect PFAS distribution coefficients (Log K_d). A data set of more than 1000 adsorption observations spanning 15 PFAS compounds, multiple adsorbent types, and a broad operational range was compiled and preprocessed using …

The Lie Group Basis Of Neuronal Membrane Architecture: Why The Hodgkin–Huxley Equations Take Their Form, Robert Melendy, Daniel Blue

Faculty Publications - Department of Electrical Engineering and Computer Science

The Hodgkin–Huxley equations have successfully described neuronal excitability for over seventy years, yet their mathematical structure remains empirically justified rather than theoretically explained. Why are gating variables bounded between 0 and 1? Why does sodium conductance depend on m³h rather than other combinations? Why does potassium depend on n⁴? Why do all rate functions contain exponential voltage dependencies? Why are the kinetics first-order? We demonstrate that these structural features arise naturally from three fundamental physical symmetries governing ion channel dynamics: the compactness of conformational state space, the scaling invariance of membrane conductance, and temporal translation invariance. …

Advancing Lipidomics Through Fluoroalcohol-Induced Multiphase Fractionation And Orthogonal Lc×Lc–Ms Detection, Md Al Amin

Chemistry & Biochemistry Dissertations

Comprehensive characterization of the lipidome remains a significant analytical challenge due to the immense structural diversity, wide dynamic range, and complex physicochemical continuum of lipid species. Conventional extraction methods, such as those by Bligh–Dyer and Folch, and one-dimensional liquid chromatography (1D-LC) often fail to resolve this complexity, leading to chromatographic overlap, severe ion suppression, and limited coverage of low-abundance or highly hydrophobic species. This dissertation addresses these bottlenecks by establishing a separation-driven analytical framework that integrates novel fluoroalcohol-induced multiphase systems (FAiTPS) with orthogonal multidimensional liquid chromatography–mass spectrometry (LC×LC–MS).

The core of this research is the development and physicochemical characterization of …

The Effects Of Parental Involvement On A Child’S Educational Success, Samson Ghirmai

All Electronic Theses and Dissertations

The accessibility of education has opened doors for children to pursue interests and be prepared for their transition into adulthood. Education is a resource that opens doors, but it has been found that there are gaps in achievement. This opens the conversation on possible solutions to reduce this gap. Schools have been developing new systems and strategies to increase parental involvement, determining this as a possible solution towards bridging the gap. The purpose of this study is to determine whether the solution towards the achievement gap is identifying strategies to get parents more involved in their child's education. Research determined …

Equitable Grading: Practices, Challenges, And Implementation, Hannah Lauree Jacott

All Electronic Theses and Dissertations

Grading methods in K-12 education have remained largely unchanged over the past century. As schools consider revisiting grading policies, multiple factors influence the success and sustainability of reform efforts, particularly because grades serve conflicting purposes for various stakeholders. This thesis investigates traditional grading practices, reviews literature on equitable grading frameworks, and evaluates both existing and proposed grading practices in relation to the purpose of grading and principles of grading equity. The literature suggests that many commonly used grading practices, such as the inclusion of nonacademic behaviors and reliance on percentage-based systems, may reduce the accuracy and consistency of grades as …

Crispr Transgenic Clytia Hemisphaerica As A Vector For Toxin Delivery In A Zebrafish Melanoma Model, Theodore G. Paz

Theses, Dissertations and Culminating Projects

The jellyfish Clytia hemisphaerica has the potential to be used in cancer therapies with the discovery of potential active toxin target regions to be modified for use. The program Venomix is a Uniprot-based database that was utilized in this experiment to generate likely flagged hit regions using Clytia hemisphaerica CDS files run against its database of terrestrial toxins (Furuno et al., 2003; Macrander et al., 2018). By themselves they are indeterminate as to whether they are active toxin region hits (Macrander et al., 2018). With further analysis such as toxin homology in closely related, annotated marine taxa and accounting for …

Evaluating Benthic Macroinvertebrate Communities In Streamside Management Zones In Private, Working Forests, Haley Vaglienti

College of Graduate Studies: Theses & Dissertations

Forestry operations can alter riparian vegetation and increase sediment and nutrient inputs to streams, affecting water quality and aquatic biota. Forestry best management practices (BMPs) including streamside management zones (SMZs) are designed to mitigate those effects by reducing sediment delivery and moderating temperature, flow, and nutrient regimes. We assessed ecological integrity at 24 intermittent stream sites with SMZs in private, working forests across the Piedmont and Southeastern plains of Georgia. At each site, we conducted physical habitat evaluations and characterized benthic macroinvertebrate assemblages. Sites represented a gradient of habitat conditions, SMZ widths, and pine stand ages, allowing for comparisons of …

Arts Cures: A Business Plan For Integrating Art As A Biometric Tool For Sensory Wellbeing In Commercial Ecosystems, Xinuo Zhang

MA Projects

In an era of heightened connectivity and data-driven metrics, modern society faces a crisis of sensory impoverishment and emotional disconnection. While technology quantifies human experience, it often fails to address the visceral need for authentic feeling. This business plan proposes "Arts Cures," a venture that repositions art from a passive commodity to an active, systemic solution for well-being. By leveraging insights from neuroscience, design theory, and existential philosophy, Arts Cures develops a suite of B2B and B2C services that integrate art as functional, biometric-responsive infrastructure. Our core offerings include AI-driven sensory pods for real-time emotional regulation, data-informed curatorial services for …

Becoming Art Itself: A Study On The Generative Logic And Discursive Structure Of Disability Art Incubation Institutions, Gonghui Lu

MA Theses

This study employs “Becoming” as its core analytical concept to examine how disability art incubation institutions operate at the intersection of contemporary art history and social systems as mechanisms that continuously generate both art and subjectivity. Building on Deleuze’s philosophy of becoming and Guattari’s notion of the rhizome, the study constructs a generative model linking art, institutions, and discourse. Through comparative analysis of international cases, it discusses the shift in disability art from a representational logic to a generative logic, and the dynamic oscillation between deterritorialization and reterritorialization within institutional practices. The study argues that disability art should not be …

Corporate Patronage In Art And Education: A Case Study Of Bloomberg's Interventions, Xiaojun Tian

MA Theses

This study focuses on the application of corporate sponsorship in the fields of art and education, delving deep into the interventions and cases made by Bloomberg L.P. in these two domains. Corporate sponsorship for the arts acts as a significant display of Cultural Corporate Social Responsibility (CSR), not only fostering diversity in the production of art institutions and artists but also having a profound effect on the educational sector. Utilizing case study methodology, this research deconstructs key projects and activities funded by Bloomberg, encompassing support for exhibitions and public art projects, as well as various initiatives aimed at art education, …

Metabolic Syndrome Beyond Diagnostic Criteria: Population-Scale Integrative Metabolomics Characterization, Marwa Talal

Theses and Dissertations

Background: Metabolic syndrome (MetS) is a complex cluster of interrelated metabolic abnormalities associated with elevated cardiometabolic risk. While diagnosis is based on well-established five clinical criteria, these may overlook early or atypical metabolic alterations. Large-scale metabolomic profiling offers an opportunity to identify biochemical signatures of MetS beyond diagnostic bias and to evaluate their relative importance across different presentations of the syndrome.

Methods: Data from 117,147 UK Biobank participants were analyzed in a cross-sectional design. High-throughput NMR quantified 75 circulating metabolites, for. Univariate analyses, MetS subtype stratification, and elastic net models with SHAP interpretation were applied to assess feature …

Forecasting Future Adoption Rates Of Agroecological Innovations Using Machine Learning: Perspectives From Burkina Faso’S 45 Provinces From 2010 To 2020, Theodore Nikiema, Pamela Giselle Katic, Issaka Abdou Razakou Kiribou, Sylvain Kpenavoun Chogou, Eugene C. Ezin

All Rsif Scholars' Publications

Implementation of agroecological innovations tends to be long-term processes, with the practices of one year often linked to those of previous years. However, previous studies have focused on understanding drivers of adoption at farm level, with adoption measured at a point in time. In this study, we use a decade of panel data from the Permanent Agricultural Survey in Burkina Faso from 2010 to 2020 and machine learning approaches, to model adoption rates of agroecological innovations at the provincial level as an autoregressive process. This modeling approach allows us to exploit the time series nature of our dataset to forecast …

Assessment Of The Life Cycle Of Photovoltaic Solar Technologies For Sustainable Energy Transitions: Implications For Climate Policy And Low-Carbon System Integration, Wakiang Emile Latchiba, Sebastian Waita, Robert Krueger, Julius M. Mwabora

All Rsif Scholars' Publications

The rapid expansion of photovoltaic (PV) deployment demands integrated environmental and economic evaluation of emerging technologies. This study compares crystalline silicon (c-Si), perovskite, and hybrid perovskite-silicon tandem PV systems using a cradle-to-grave Life Cycle Assessment (LCA) combined with Techno-economic Analysis (TEA) to measure environmental impacts, resource efficiency, and cost performance. Environmental indicators include life cycle greenhouse gas emissions, total energy demand, water use, and overall impact, while economic performance is assessed through levelized cost of electricity (LCOE). Sensitivity analysis explores the effects of energy payback time (EPBT), material efficiency, and perovskite stability. Results show manufacturing as the main hotspot, contributing …

Optimizing Machine Learning Algorithms Through Hyper-Parameter Tuning For Accurate Rice Yield Forecasting In North-East, Nigeria. International Journal Of Agricultural And Statistical Sciences, Ezra Daniel Dzarma, Guy Degla, Theophile Komlan Dagba, Nyor Ngutor

All Rsif Scholars' Publications

Accurate prediction of rice yield is crucial for strengthening food security and improving agricultural decisionmaking in North-East Nigeria, where production systems are constrained by fluctuating input use and environmental variability. This study applies four machine learning algorithms: Random Forest (RF), Extreme Gradient Boosting (XGB), Support Vector Regression (SVR), and K-Nearest Neighbours (KNN)to model rice yield using five primary farm inputs: Labour (B), Fertilizer (F), Herbicides (H), Seeds (S), and land (L)area. All models were optimized through hyper-parameter tuning to ensure reliable performance. The results show that SVM and XGB produced the strongest predictive accuracy, with RF achieving an RMSE of …

Evaluating Quahog (Mercenaria Mercenaria) Nursery Methods And Production Costs To Support Diversification Of Maine’S Fisheries And Aquaculture Sector, Hannah G. Wolf

Honors Theses

Populations of wild and farmed quahogs in Maine are expanding, driven by warming waters, declining soft-shell clam populations, and the need to diversify fisheries. The Northern quahog (Mercenaria mercenaria) is a potential species to diversify Maine’s marine sector, as its geographical range is expanding, and they appear more resistant to green crab predation. Enhancing wild quahog stock provides economic and social advantages for both the aquaculture and wild harvest industries. However, there is limited understanding about the commercial viability of producing quahog seed on existing farms for wild shellfish enhancement in Maine. This research, part of a larger NOAA …

Assessing Medical Professionalism In Future Physicians: A Nationwide Perspective From Saudi Arabia, Jawad S Albashri, Waad I Barnawi, Abdullah F Albukhari, Ahmed S Albashri, Abdullah S Algarni, Khalid Alzahrani, Ramy Samargandi

Health Professions Education

Background:

Medical professionalism is a core competency in medical education and a cornerstone of professional identity formation. In Saudi Arabia, where medical education is rapidly expanding under Vision 2030, limited nationwide evidence exists on professionalism among medical students.

Methods:

A cross-sectional study was conducted from October to November 2024 using the validated Learners’ Attitudes on Medical Professionalism Scale (LAMPS). A convenience sample of 1,234 students from the 2nd–6th years across all five regions and both governmental and private universities completed the survey. LAMPS scores were compared by academic year, gender, GPA, region, and university type using Mann-Whitney U …

The Impact Of Rti On Ninth Grade Reading Success, James Dailey

Murray State Theses and Dissertations

Graduation rates are an important component of a school’s progress report card, published by the state’s department of education.  Ensuring that students have the resources and supports that they need in order to be successful is paramount to a school’s ability to provide quality educational services for their students.  Research published by the Center for High School Success (2020) indicates that students entering their freshman year of high school are twice as likely to drop out of school for being academically behind compared to their peers. For students to receive the support that they need to help them close their …

Exploring Pedagogical Content Knowledge Of Experienced Teachers In Agricultural Animal Reproduction: A Grounded Theory, Amanda Wooditch

Murray State Theses and Dissertations

Teaching agricultural animal reproduction requires a specialized integration of scientific content knowledge and instructional strategies, conceptualized as Pedagogical Content Knowledge (PCK). While PCK has been widely studied in other disciplines, research on its development and application in agricultural education has been limited. This qualitative study utilized grounded theory methodology to explore the PCK of experienced high school agriculture teachers in Georgia as they taught animal reproduction.

Twenty educators, each with a minimum of eight years of classroom experience, participated in the study through semi-structured interviews, lesson artifacts, and memos. Analysis, guided by Gess-Newsome’s (2015) Model of Teacher Professional Knowledge and …

Influences On Student College-Major Decision And Satisfaction Rate Among Students In The School Of Agriculture, Danielle Shafer

Murray State Theses and Dissertations

The purpose of this study was to determine the factors that influence students to choose agriculture majors and agriculture careers and measure the level of satisfaction with their major based on these influences. There are many factors that influence students to choose a major in college and college-major satisfaction. These influences and satisfaction with major may have an impact on a student’s decision to choose a college career path. Some of the influences mentioned in studies are family, friends, educators, extension programs, clubs, financial, and recruitment efforts. The degree to which each of these influence students may depend on the …

Utilizing Cte Programs To Bridge The Expectations Gap Between Academia And Entrance Into The Global Workforce, Jose M. Gaspar

Murray State Theses and Dissertations

The purpose of this study was to examine whether completing high school Career and Technical Education (CTE) coursework, completing foreign language coursework, or participating in community college CTE programs predicted higher levels of postsecondary degree attainment. The study was designed to better understand how academic and technical pathways function within the P–20 system and how these pathways shape student perceptions and long-term educational outcomes. Participants in the study included individuals who had completed some level of postsecondary education and provided information on their high school and community college coursework experiences. Findings indicated that students who participated in both academic and …

International Teacher Attrition: A Qualitative Meta-Synthesis Through The Job Demands-Resources Framework, Lakeysha Rena Joseph Toliver

Murray State Theses and Dissertations

Abstract

Teacher attrition has emerged as a persistent crisis for workforce sustainability across international education systems. This crisis is threatening instructional continuity and deepening inequities that extend across the P-20 continuum. A substantial amount of research has been conducted on teacher attrition in individual countries worldwide. Isolated national studies rarely shed light on the structural patterns driving educators out of the profession, leaving policymakers without a clear cross-contextual understanding of why teachers leave. This qualitative meta-synthesis examined how the interaction between occupational demands and institutional supports shapes teacher attrition across international education contexts, using the Job Demands-Resources (JD-R) framework to …

Scalable Transfer Of Dna Origami–Directed Nanoparticle Arrays Onto Functional Surfaces Using Thermal Release Tape, Yuwei Zhang, Chikadibia Genevieve Edward, Ethan Keuhn, Shelley D. Minteer, Risheng Wang

Chemistry Faculty Research & Creative Works

Precise integration of DNA origami nanostructures onto functional substrates is essential for advancing electronics, photonics, and biosensing. However, most surface-assembly methods are highly sensitive to substrate type, limiting their broader applications. Here, we introduce a thermal release tape (TRT)-assisted transfer method that enables efficient, large-area printing of DNA origami-guided gold nanoparticle (AuNP-DNA origami) arrays from mica onto diverse surfaces. The method relies on differential adhesion: AuNP-DNA origami arrays form strong electrostatic and hydrogen-bonding interactions with 3-aminopropyltriethoxysilane (APTES)-functionalized receiver substrates, while the TRT adhesive weakens upon heating to 120°C, allowing release from the tape. Using this approach, well-ordered AuNP-DNA origami arrays …

Evaluation Of A Novel Re-Crosslinkable Preformed Particle Gel For Conformance Control In Ultra-High Temperature Reservoirs, Yanbo Liu, Tao Song, Caleb Kwasi Darko, Thomas P. Schuman, Mingzhen Wei, Baojun Bai

Chemistry Faculty Research & Creative Works

Preferential fluid flow remains a major challenge in subsurface energy production and gas storage operations, resulting in excessive water production in mature oil fields, reduced heat extraction in geothermal reservoirs, and low sweep and storage efficiency in CO₂-EOR projects. Polymer gels are widely used to mitigate high-permeability channels; however, conventional systems exhibit limited plugging efficiency and short lifetimes in ultra-high-temperature reservoirs due to poor thermal stability. This study presents a novel ultra-high-temperature-resistant preformed particle gel (UHT-PPG) developed for conformance control in reservoirs with temperatures of 150–275 °C and severe super-K or channeling problems. The material was evaluated in …

Progression Toward Terminal Oxidation Of Starch Via Hybrid Organic–Enzymatic Bioanode For Renewable Carbohydrate Conversion, Adam Milam, Jose Intano, Shelley D. Minteer

Chemistry Faculty Research & Creative Works

The performance of starch-based biofuel cells is fundamentally limited by inefficient utilization of the fuel's inherent energy density. Sequential oxidation of carbohydrate fuels, such as glucose, the monomeric unit of starch, using minimal catalyst systems has therefore emerged as a promising strategy to improve biofuel cell efficiency. Here, we extend a previously reported three-catalyst, organic–enzymatic glucose oxidation cascade to polymeric carbohydrate fuels by integrating enzymatic starch depolymerization with downstream electrochemical oxidation. To our knowledge, this represents the first demonstration of a defined hybrid organic–enzymatic cascade designed to drive progression of starch-derived glucose equivalents toward terminal oxidation using a minimal catalyst …