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The Role Of Math Anxiety – And Associated Support Mechanisms And Strategies – In The Academic Success Of Stem College Students, William Jacob Tschume
The Role Of Math Anxiety – And Associated Support Mechanisms And Strategies – In The Academic Success Of Stem College Students, William Jacob Tschume
Theses and Dissertations
Math anxiety has been widely documented as a barrier to student success, yet its role within institutional student success frameworks – particularly in gateway STEM courses – remains underexamined. The purpose of this quantitative study was to examine the relationship between math anxiety, academic support mechanisms, and academic performance among undergraduate STEM students enrolled in a gateway mathematics course at a large, public, research-intensive university. Guided by the Debilitating Anxiety Model, student success frameworks, Social Cognitive Career Theory, and equity-oriented perspectives, this study addressed three research questions: (1) how student demographic characteristics relate to levels of math anxiety, (2) the …
Exploring The Effect Of Students' Exclusionary Discipline On Their Academic Achievement In A Rural High School., Danya Turner
Exploring The Effect Of Students' Exclusionary Discipline On Their Academic Achievement In A Rural High School., Danya Turner
Theses and Dissertations
The purpose of this quantitative study was to examine the extent to which exclusionary discipline practices, specifically in-school suspension and out-of-school suspension, are associated with academic achievement among high school students. More specifically, the study investigated the relationship between students’ exclusionary discipline days and performance on Mississippi Academic Assessment Program (MAAP) assessments in Algebra I, Biology, English II, and U.S. History. The study was guided by the Opportunity to Learn (OTL) framework, which emphasizes the importance of access to instructional time for student academic success. Archival discipline and assessment data were collected from a rural public high school in east-central …
Integrating Augmented Reality Visualizations Into Data Science Notebooks Using Microsoft Hololens 2, Derek Willis
Integrating Augmented Reality Visualizations Into Data Science Notebooks Using Microsoft Hololens 2, Derek Willis
Theses and Dissertations
Data-science notebooks support iterative analysis but are limited to two-dimensional (2D) displays. This work presents an approach to extend such environments with rapid augmented reality (AR) visualization while preserving conventional 2D workflows. An opensource R package was developed to convert notebook objects into three-dimensional (3D) models, export them in the Graphics Language Transmission Format (glTF), and transfer directly to a Microsoft HoloLens 2 via a USB connection for viewing in the native 3D Viewer application. The proposed workflow eliminates manual conversion and transfer steps required by earlier methods. A user study employing a post-session questionnaire indicated that participants found the …
Assessing The Relationship Between Subsurface Geology And Surficial Geomorphology: Remotely Predicting Geologic Features And Geohazards Using An Elevation-Trained Machine Learning Algorithm In The Northern Gulf Of Mexico, Allison L. Wing
Theses and Dissertations
This thesis evaluates the capacity to predict subsurface geologic features and submarine landslide susceptibility using surficial geomorphology derived from bathymetric elevation data in the Northern Gulf of Mexico. Quantitative geomorphic variables including slope, curvature, aspect, rugosity, geomorphons, and Bathymetric Position Index were generated from 30-meter digital elevation models and used as explanatory variables in presence-only Maximum Entropy models. Known locations of faults, pockmarks, mud volcanoes, hydrocarbon seeps, and landslides (particularly intact scarps) were used to train and validate predictive models through k-fold cross validation. Model performance was assessed using omission rates and AUC values. Results demonstrate that specific geomorphic signatures, …
Feasibility-Aware Deep Reinforcement Learning For Sustainable Timber Procurement Under Hurricane Demand Uncertainty, Jarod Wright
Feasibility-Aware Deep Reinforcement Learning For Sustainable Timber Procurement Under Hurricane Demand Uncertainty, Jarod Wright
Theses and Dissertations
The timber supply chain connects landowners and mills to provide wood products but faces challenges from stochastic demand, seasonal variations, and disruptions such as hurricanes. Fur- thermore, sustainability concerns like transportation emissions create trade-offs in procurement. This study proposes a feasibility-aware Deep Reinforcement Learning framework for sustainable timber procurement and inventory control under joint demand–hurricane uncertainty. We develop a stochastic mathematical model capturing mill-landowner interactions, seasonal demand, hurricane- driven pricing, and carbon emissions. The problem is formulated as a constrained Markov decision process and solved using Proximal Policy Optimization with a feasibility-enforcing layer. A Mississippi-based case study with 2,100 landowners …
Wildfire Risk Mitigation Methods To Enhance The Resilience Of Power Systems, Fasiha Zainab
Wildfire Risk Mitigation Methods To Enhance The Resilience Of Power Systems, Fasiha Zainab
Theses and Dissertations
The resilience of the power system has become increasingly important in recent years and needs to be further enhanced in the future under wildfire conditions. A major concern is the two-way interaction between power systems and wildfires: power systems can ignite wildfires and be disrupted by them. Power system-induced wildfires occur when electrical components, particularly transmission lines, ignite fires due to faults exacerbated by extreme weather conditions. The presence of uncertainties, especially those related to unpredictable weather conditions, makes it difficult to handle and can significantly increase the risk of wildfire. Furthermore, these ignitions not only threaten public safety and …
Beyond English: Auditing And Mitigating Cross-Lingual Data Contamination In Multimodal Large Language Models, Pavan Dharma Adapa
Beyond English: Auditing And Mitigating Cross-Lingual Data Contamination In Multimodal Large Language Models, Pavan Dharma Adapa
Theses and Dissertations
This thesis extends data contamination auditing for multimodal large language models to multilingual settings. Using LLaVA 1.5 and a high-fidelity French parallel dataset derived from ScienceQA, the study evaluates how performance changes when identical image-question pairs are translated from English to French. The resultsshow a substantial cross-lingual performance decline and frequent flips from correct English predictions to incorrect French predictions, indicating that benchmark performance can depend heavily on memorized English-specific patterns rather than stable multimodal reasoning. To address this weakness, the thesis introduces an inference-time mitigation strategy based on perturbation ensembling and cross-lingual consistency aggregation. The proposed method reduces instance-level …
Enhancing Professional Development Opportunities For Mississippi Early Childhood Education Technology Students, Sheri H. Anders
Enhancing Professional Development Opportunities For Mississippi Early Childhood Education Technology Students, Sheri H. Anders
Theses and Dissertations
This capstone project examined professional development opportunities for early childhood students enrolled in Early Childhood Education Technology (ECET) programs in Mississippi. Grounded in Situated Learning Theory and aligned with the National Association for the Education of Young Children (NAEYC) Professional Standards and Competencies, this study used a desk-based systematic literature review to examine how ECET students engage in professional development during preparation, how standards-aligned experiences support preparedness and professional identity development, and what barriers limit access to meaningful opportunities. Findings indicate that professional development during preparation is often informal and inconsistent; however, participation in professional communities such as conferences, coaching, …
Machine Learning-Based Decision Support Models With Applications In Postsecondary Education, Marco Paolo Anglesio
Machine Learning-Based Decision Support Models With Applications In Postsecondary Education, Marco Paolo Anglesio
Theses and Dissertations
This dissertation investigates the deployment of machine learning methodologies in an industrial engineering framework for the development of advanced decision support systems in the context of enrollment management. Drawing on techniques from educational data mining, the research addresses three key phases in the lifecycle of traditional and non-traditional students. First, it analyzes student retention using predictive classification models designed to identify individuals at elevated risk of attrition. Second, it employs temporal convolutional networks for time series forecasting, estimating aggregate enrollment levels over highly variable, finite planning horizons on the basis of partially observed data and using an asymmetric loss function. …
Institutional Predictors Of Overall Retention And Graduation Rates For Black Male Students At Public Two-Year Colleges In The Southeastern United States, Jonathan Larry Armstrong
Institutional Predictors Of Overall Retention And Graduation Rates For Black Male Students At Public Two-Year Colleges In The Southeastern United States, Jonathan Larry Armstrong
Theses and Dissertations
This quantitative, cross-sectional, non-experimental study examined institutional characteristics associated with retention and graduation outcomes at public two-year colleges in the Southeastern United States. Using data from the Fall 2023 Integrated Postsecondary Education Data System (IPEDS), the study analyzed institutional student–faculty ratio, core expenditures per full-time equivalent (FTE) student, and academic support expenditures per FTE as predictors of institutional full-time fall-to-fall retention rates for all students and 150% graduation rates for Black male students. Descriptive statistics indicated substantial variation across institutions in spending and student outcomes. Simple linear regression analyses revealed no statistically significant relationships between student–faculty ratio or core expenditures …
On The Bias And Variance Of The Plug-In Estimator For Generalized Shannon’S Entropy, Shirli Salihaj Arndt
On The Bias And Variance Of The Plug-In Estimator For Generalized Shannon’S Entropy, Shirli Salihaj Arndt
Theses and Dissertations
This dissertation analyzes the bias and variance of the plug-in estimator for generalized Shannon’s entropy. The setting is discrete data where observations take categorical values and the statistical object of interest is a probability distribution on an alphabet of possible outcomes. In such problems, entropy provides a relabeling-invariant summary of dispersion, but estimation can be challenging when the number of possible outcomes is large relative to the sample size. In addition, on some countably infinite alphabets, the classical Shannon entropy may diverge, motivating alternative entropy-like targets. Generalized Shannon’s entropy is defined by applying Shannon entropy to an escort reweighting of …
Community Development Professionals’ Perceptions Of Agritourism In Mississippi, Emma Jane Berry
Community Development Professionals’ Perceptions Of Agritourism In Mississippi, Emma Jane Berry
Theses and Dissertations
Agritourism has emerged as a strategy for supporting rural economies, strengthening community identity, and increasing agricultural literacy. Although prior research has examined agritourism operators and visitors, limited attention has been given to the perceptions of community development professionals who influence local planning and program support. The purpose of this qualitative exploratory study was to examine community development professionals’ perceptions of agritourism’s role in community development, economic growth, and agricultural literacy in Mississippi. Guided by Social Exchange Theory, data were collected through two semi-structured virtual focus groups with 12 professionals representing Extension, tourism, economic development, and Main Street organizations. Data were …
An Evaluation Of Mississippi’S Policy For Identifying And Exiting Targeted Support And Improvement (Tsi) And Additional Targeted Support And Improvement (Atsi) Schools, Christopher A. Burrow
An Evaluation Of Mississippi’S Policy For Identifying And Exiting Targeted Support And Improvement (Tsi) And Additional Targeted Support And Improvement (Atsi) Schools, Christopher A. Burrow
Theses and Dissertations
The Every Student Succeeds Act (ESSA) requires states to identify schools for improvement based on overall performance and the performance of student subgroups. While substantial research has examined CSI schools, limited attention has been given to state policies governing the identification and exit of TSI and ATSI schools. This project evaluates Mississippi’s policy for identifying and exiting TSI and ATSI schools to determine whether the system appropriately identifies underperforming subgroups, promotes sustained improvement, and aligns with ESSA's equity-focused intent. Guided by the policy analysis triangle framework, the study employed a desk-based secondary data analysis of Mississippi’s publicly available state and …
Determining Agricultural Literacy Proficiency Of Extension Professionals And Primary Volunteers In Mississippi, Molly Campbell
Determining Agricultural Literacy Proficiency Of Extension Professionals And Primary Volunteers In Mississippi, Molly Campbell
Theses and Dissertations
The development of agricultural literacy is a lifelong process, moving from gaining agricultural knowledge to communicating with others to applying to societal issues, and extends beyond the formal classroom. The Mississippi State University Extension Service has the ability to reach various audiences through educational programming, making them a potential catalyst for change in increasing agricultural literacy across the state. The study aims to determine the agricultural literacy levels of Extension professionals and primary volunteers in Mississippi and the factors potentially influencing these levels. Twenty-nine Extension professionals and eleven primary volunteers completed a survey of demographic questions and the Judd-Murray Agricultural …
Regional Variability In Tornado Tracks: A Gis-Based Study Of Surface Roughness And Land Cover Differences Between The Lower Midwest And Southeast United States, Joshua Morgan Dison
Regional Variability In Tornado Tracks: A Gis-Based Study Of Surface Roughness And Land Cover Differences Between The Lower Midwest And Southeast United States, Joshua Morgan Dison
Theses and Dissertations
Throughout the years, much research has been dedicated to the physical processes leading to tornadogenesis and tornado decay. Much of this research is centered around the inner workings of the supercell itself. Recent studies are now showing that tornadogenesis and decay processes may be generated by interactions with the Earth’s surface. This study examines longtrack tornadoes from 2001-2016 in the southeast and lower Midwest regions of the United States. Utilizing the National Land Cover Database (NLCD) and American Meteorological Society / Environmental Protection Agency / Regulatory Model (AERsurface) surface roughness values, efforts are made to see if statistical significance is …
Evaluating The Spray Patterns Of Boomless Spray Nozzles At Increasing Application Speeds, Thomas Hayden Duncan
Evaluating The Spray Patterns Of Boomless Spray Nozzles At Increasing Application Speeds, Thomas Hayden Duncan
Theses and Dissertations
Boomless nozzles have been largely ignored in spray studies, resulting in limited understanding of their spray patterns and how they are affected by operating parameters. A study was conducted to evaluate the effect of application speed on the performance of four boomless nozzles. Dyed water was applied to Kromekote® paper to assess spray distribution based on coverage data at three speeds, and MSMA was applied to a mixed turf stand to evaluate the effect of speed on performance. Overlap simulations were done to evaluate how uniformity could be improved, and nozzle performance was compared to manufacturer claims. Spray patterns of …
Rethinking Social Disorganization In Rural America: Persistent Poverty, Institutional Fragility, And Crime, Addison Finch
Rethinking Social Disorganization In Rural America: Persistent Poverty, Institutional Fragility, And Crime, Addison Finch
Theses and Dissertations
Social Disorganization Theory (SDT) links structural disadvantage to crime through mechanisms such as residential instability, weakened social networks, and reduced informal social control in urban neighborhoods. Less is known about whether these mechanisms operate similarly in persistently poor rural communities where disadvantage is enduring rather than destabilizing. This study examines whether variation in poverty intensity predicts county-level crime in nonmetropolitan, persistently poor counties in Kentucky and Tennessee from 2016 to 2023. A balanced county-year panel (N = 344) integrates incident-based crime data with measures of poverty intensity and institutional capacity. Pooled ordinary least squares models with year fixed effects and …
Evaluation And Mitigation Of Bias And Toxicity In Open-Source Large Language Models Using Crows-Pairs And Bold, Sai Harika Gade
Evaluation And Mitigation Of Bias And Toxicity In Open-Source Large Language Models Using Crows-Pairs And Bold, Sai Harika Gade
Theses and Dissertations
This thesis evaluates bias and harmful language generation in five open-source language models and tests practical mitigation methods that do not require retraining. Two masked models are assessed with a sentence-pair benchmark for stereotype preference, and three generative models are assessed with a prompt-based benchmark for harmful continuations across demographic domains. The study uses a unified experimental workflow to compare model behavior, summarize differences across bias categories, and measure changes after intervention. Results show that the masked models favor stereotypical content above a random baseline, while the generative models usually produce low average toxicity but still show uneven risk across …
Investigating Teacher Cognition Of Teaching Spatial Thinking Among Middle And High School Stem Teachers: A Knowledge, Belief, And Attitude Perspective, Jonathan Grant Harris
Investigating Teacher Cognition Of Teaching Spatial Thinking Among Middle And High School Stem Teachers: A Knowledge, Belief, And Attitude Perspective, Jonathan Grant Harris
Theses and Dissertations
Spatial thinking is a critical cognitive ability that supports learning and problem solving across science, technology, engineering, and mathematics (STEM) disciplines. Despite extensive research highlighting the importance of spatial thinking in STEM achievement and career success, limited research has examined STEM teachers’ cognition of spatial thinking or developed instruments to measure it. The purpose of this study was to investigate middle and high school STEM teachers’ cognition of spatial thinking, including their perceived pedagogical content knowledge (PCK) of spatial thinking, self-efficacy beliefs about teaching spatial thinking, and attitudes toward spatial thinking as a critical component of STEM learning and achievement. …
Adaptive Channel Switching For Contention Resolution, Shafqat Hasan
Adaptive Channel Switching For Contention Resolution, Shafqat Hasan
Theses and Dissertations
Contention resolution is a fundamental problem in distributed computing, where multiple devices compete to transmit over a shared channel without centralized coordination. Classical models typically assume a single always-available channel and focus on minimizing makespan. However, modern wireless systems increasingly operate under spectrum-sharing frameworks in which access to high-capacity spectrum is opportunistic and may be interrupted by higher-priority users. These settings introduce new challenges, including asymmetric channel speeds, adversarially scheduled evictions, and non-trivial switching costs. In this thesis, we study contention resolution in a dual-channel model consisting of a slow, always-available channel and a faster channel subject to adversarially scheduled …
A Research-Informed Wellness Guide For Creating A Culture Of Educator Wellness And Retention In Schools, Anthony L. Herbert
A Research-Informed Wellness Guide For Creating A Culture Of Educator Wellness And Retention In Schools, Anthony L. Herbert
Theses and Dissertations
Teacher attrition in high-poverty K–12 schools continues to undermine instructional continuity, organizational stability, and educational equity. While compensation and accountability pressures contribute to turnover, emerging research identifies workload intensity, emotional exhaustion, and the absence of systemic wellness supports as central drivers of burnout and departure decisions. The purpose of this capstone project is to develop a research-informed wellness guide designed to assist site-based leaders in embedding educator wellness within school systems as a strategic approach to improving teacher retention. This study addresses the question: What leadership strategies and school-level practices does the research recommend for creating supportive, wellness-centered environments in …
Developing And Evaluating U.S. Army Bridging For Ship Simulation, Jacob C. Hodges
Developing And Evaluating U.S. Army Bridging For Ship Simulation, Jacob C. Hodges
Theses and Dissertations
This research investigates the intricacies of ship simulation and developmental processes for integrating wet gap crossing capabilities into a simulated environment. The US Army Mark III Bridge Erection Boat (BEB) and Improved Ribbon Bridge (IRB) were modeled in commercial off the shelf (COTS) and Government Co-Owned (GCO) navigation software suites to determine their performance capabilities and limitations. Each model was constructed using naval architecture concepts to accurately capture their hydrostatic and hydrodynamic effects before being validated against available performance data and expert elicitation from expert US Army watercraft operators. Models were configured and tested in simulated river flows with current …
Exclusionary Disciplinary Composition Outcomes: Schools With High African American Enrollments And Schools With Low African American Enrollments, Darrell A. Jones
Exclusionary Disciplinary Composition Outcomes: Schools With High African American Enrollments And Schools With Low African American Enrollments, Darrell A. Jones
Theses and Dissertations
Racial disparities in exclusionary disciplinary outcomes remain consistently documented across United States public schools, with African American (AA) students disproportionately represented in in-school suspension (ISS) and out-of-school suspension (OSS) outcomes. The purpose of this quantitative comparative study was to examine whether statistically significant differences existed between (a) the percentage of students receiving ISS who were AA and (b) the percentage of students receiving OSS who were AA in selected Mississippi public high schools with high AA enrollment (≥70%) and low AA enrollment (≤30%) during the 2022–2023 and 2023–2024 academic years. The study utilized archival, publicly available, school-level discipline and enrollment …
Accelerating Defensive Cyber Operations Via Unsupervised Log Clustering And Automated Regex Template Synthesis, Charles Matthew Jones
Accelerating Defensive Cyber Operations Via Unsupervised Log Clustering And Automated Regex Template Synthesis, Charles Matthew Jones
Theses and Dissertations
Modern Security Operations Centers (SOCs) ingest millions of log entries per day, but manual parsing does not scale to the volume, heterogeneity, and rapid evolution of log formats. This dissertation investigates whether unsupervised clustering can automate the generation of candidate field-extraction templates while remaining deployable in production and feasible under realistic runtime and memory constraints. The central research question asks whether a machine-learning-assisted pipeline that proposes extraction templates for security engineer review—relative to reproducible human-authored baselines such as hand-written regular expressions—can measurably improve rule-set deployability and corpus-scale extraction quality. Improvement is quantified using four applicability metrics: Coverage Rate (CR), Exclusive …
A Pedagogically Effective Conceptual Framework For The Resilience Of Unit Test Suites To Refactoring, Daniel Paul Knight
A Pedagogically Effective Conceptual Framework For The Resilience Of Unit Test Suites To Refactoring, Daniel Paul Knight
Theses and Dissertations
Unit test suites are intended to support safe and efficient source code refactoring, yet in practice they can hinder rather than help when tests are tightly coupled to implementation details. Such non-resilient tests require frequent co-evolution, consume valuable engineering time, and may disincentivize beneficial code improvements. While concepts such as passive and active resilience, test smells, and technical debt have been studied individually, they have not been integrated into a single actionable framework, nor has their pedagogical value been systematically evaluated. This dissertation introduces a novel conceptual framework for the resilience of unit test suites to refactoring, grounded in resilience …
Low-Dimensional Metal Halides For Light-Emitting Diodes (Leds): Photophysical Aspects And Device Engineering, Udara Madushanka Kuruppu Kuruppu Achchige Don
Low-Dimensional Metal Halides For Light-Emitting Diodes (Leds): Photophysical Aspects And Device Engineering, Udara Madushanka Kuruppu Kuruppu Achchige Don
Theses and Dissertations
In recent years, low-dimensional metal halides have garnered significant interest due to their exceptional optical properties. This dissertation focuses on the structural, optical, and photophysical properties of both lead-based and lead-free low-dimensional metal halides and investigates their applications in light-emitting diodes. In Chapter II, the nature of Mn2+ doping in two-dimensional (2D) lead halide perovskites is discussed. 2D perovskites show strong excitonic and dielectric confinement due to their quantum well structures. Introducing optically active Mn²⁺ dopant ions into these 2D perovskites further enhances their optical properties and promotes energy transfer from the host to the Mn²⁺ dopants, resulting in dual …
Parhsom: A Novel Parallel Hierarchical Self-Organizing Map Implementation, Rebekah E. Lane
Parhsom: A Novel Parallel Hierarchical Self-Organizing Map Implementation, Rebekah E. Lane
Theses and Dissertations
The digital age has completely transformed the way that information is processed and stored, which makes cybersecurity a crucial field of research. Cybersecurity contains many different domains, but this work focuses on Intrusion Detection Systems (IDSs). Within the literature, Hierarchical Self-Organizing Maps (HSOMs) have been used to create trustworthy, explainable, and AI-based IDSs. However, HSOMs are trained sequentially, which means that training HSOMs on large datasets is slow. This work presents a novel parallel HSOM architecture, called parHSOM. The purpose of this research is to investigate the effect that parallel computation has on the HSOM training time. parHSOM is tested …
Assessment Of Local Ecological Knowledge, Oyster Predation, And Habitat Function To Improve Management Of Nearshore Habitats, Cynthia Evelyn Marie Lupton
Assessment Of Local Ecological Knowledge, Oyster Predation, And Habitat Function To Improve Management Of Nearshore Habitats, Cynthia Evelyn Marie Lupton
Theses and Dissertations
Coastal ecosystems along the northern Gulf of Mexico are ecologically and economically vital yet increasingly threatened by environmental change, habitat degradation, and knowledge gaps that complicate restoration and management efforts. This dissertation integrates social and ecological approaches to improve understanding of predator dynamics, stakeholder perceptions, and habitat function related to nearshore habitats. Thereby, providing information that can inform adaptive management and restoration in the region through addressing three overarching objectives: 1) evaluate stakeholder perceptions of oyster (Crassostrea virginica) predation and management practices; 2) quantify environmental and habitat factors influencing oyster drill (Stramonita haemastoma complex) abundance; and, 3) assess the influence …
Harmonic Response Analysis Of Asymmetric Double-Wishbone Suspension Systems For Amphibious Vehicle Stability, Harper K. Mccraw
Harmonic Response Analysis Of Asymmetric Double-Wishbone Suspension Systems For Amphibious Vehicle Stability, Harper K. Mccraw
Theses and Dissertations
Amphibious vehicles in the surf zone face severe hydrodynamic forcing, yet their internal suspension dynamics remain under-characterized. This research quantifies the non-linear dynamic response of an asymmetric double-wishbone suspension under regular wave impact. Using a physical model in a wave flume and a Qualisys motion-capture system, global rigid-body roll angles were processed through a decoupled kinematic numerical framework to isolate time-domain strut displacements. To evaluate stability, the data was transformed into the frequency domain to calculate Total Harmonic Distortion (THD). Results indicate that all test configurations exhibited significant non-linearity, primarily driven by mechanical clipping as struts reached their physical travel …
Using Seafloor Geomorphology, Classification Schema, And Spatial Analysis To Predict Geologic Structures, With Applications For Mars, Emma Morgan
Theses and Dissertations
This study evaluated whether seafloor geomorphology can be used to predict subsurface fault locations along the Cascadia continental margin and explored whether such relationships can be transferred to Mars. Geomorphological classification schemas such as geomorphons, bathymetric position index (BPI), slope, rugosity, aspect, and curvature were derived from seafloor bathymetry data and used as predictor variables in maximum entropy (MaxEnt) models developed separately for Pre-Pleistocene, Pleistocene, Quaternary, and active fault datasets. Model performance ranged from AUC = 0.62 to 0.67, showing moderate predictive skill, with younger fault systems exhibiting stronger geomorphic associations. A secondary analysis showed a weaker but detectable relationship …