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The Correlation Between Perceptual Abilities And The Acquisition Of Non-Native Consonant Clusters, Hope Emma Nielson
The Correlation Between Perceptual Abilities And The Acquisition Of Non-Native Consonant Clusters, Hope Emma Nielson
Theses and Dissertations
A common approach in the study of speech motor learning is to have speakers learn to produce clusters of consonants that do not occur in their native language. This study investigated the relationship between auditory or speech perceptual abilities and the initial acquisition of non-native stop-stop consonant clusters. Sixty young adult participants (56 female, four male) were administered a gap detection test and a speech-in-noise test to assess their innate perceptual skills. The participants then performed a nonsense-word repetition task featuring non-native consonant clusters in the initial position. The participants' spoken productions of the nonwords were recorded and analyzed acoustically …
Vigor: Virtual Intelligence For Gaze Observation And Representation, Meherun Nesa Shraboni
Vigor: Virtual Intelligence For Gaze Observation And Representation, Meherun Nesa Shraboni
Theses and Dissertations
Eye tracking in modern XR head-mounted displays can capture high-frequency gaze data at 90–120 Hz, generating thousands of samples within a single 30-second interaction. At the same time, the XR market has grown to millions of active users worldwide, with major platforms such as Meta investing heavily in eye-tracking-enabled devices. Despite this large-scale adoption and data availability, most applications still rely on hand-controller input, with gaze either processed offline or reduced to a simple pointing signal. As a result, the majority of temporally rich gaze information remains unused in real-time interaction, limiting system responsiveness, reducing interaction fidelity, and preventing effective …
Injectable, In Situ Forming Peptide Nanofiber Reinforced Composite Hydrogels For Age-Related Macular Degeneration, Shambhavi Bagewadi Ms
Injectable, In Situ Forming Peptide Nanofiber Reinforced Composite Hydrogels For Age-Related Macular Degeneration, Shambhavi Bagewadi Ms
Theses and Dissertations
Cell therapy for age-related macular degeneration (AMD) is limited by the absence of a functional substrate such as Bruch’s membrane (BM), which is critical for retinal pigment epithelial (RPE) cell survival and integration. Although preformed substrates have been explored, their implantation can disrupt the fragile retinal architecture, compromise ocular immune privilege and increase infection risk. To address these limitations, an injectable hydrogel capable of forming in situ was developed. The hydrogel consists of thiol-modified hyaluronic acid (HA-SH) and polyvinyl alcohol (PVA). Peptide nanofibers were incorporated to enhance structural reinforcement. Three self-assembling peptides - RADA-16, GAGA and GAGA-YIGSR were designed and …
The Reliability Of Yolo Object Detection On The Amd Versal In A Proton Radiation Environment, Jacob D. Brown
The Reliability Of Yolo Object Detection On The Amd Versal In A Proton Radiation Environment, Jacob D. Brown
Theses and Dissertations
Object detection is an important operation for satellites to be able to perform, and in outer-space missions it is crucial that machine learning models perform inference on satellite images accurately and reliably. Where size, weight, power, and other constraints exist, meeting this goal for accurate and reliable object detection is challenging. Additionally, soft errors caused by radiation further disrupt and degrade the operation of object detection in satellites. This thesis studies the performance of a deep learning model on an embedded device, the AMD Versal, in the presence of soft errors. The well-known and high-performing YOLO convolutional neural network was …
Power Consumption Prediction And Energy Forecasting Using Machine Learning Models, Sheik Mohideen Shah S Mr
Power Consumption Prediction And Energy Forecasting Using Machine Learning Models, Sheik Mohideen Shah S Mr
Theses and Dissertations
Power consumption trends are essential to be identified in the energy grid areas to analyze the utilization, deficiency, and the measures to be taken for an effective and comfortable usage of energy. There are two scenarios in which the power consumption can be analyzed, namely identification and prediction. Identification deals with the post-utilization analysis of energy trends, whereas prediction deals with prior analysis of various factors of energy utilization, including the cost, supply details, shortages, and the need for new energy resources. In the existing models, the power consumption-related data are collected through smart meters, and the energy forecasting methods …
The Effects Of Phonetic Knowledge And Bilingualism On The Acquisition Of Non-Native Consonant Clusters, Kylie Wakley
The Effects Of Phonetic Knowledge And Bilingualism On The Acquisition Of Non-Native Consonant Clusters, Kylie Wakley
Theses and Dissertations
Speech motor learning involves the production of new sounds or sound sequences. This study investigated how explicit phonetic knowledge and bilingualism affect how individuals acquire sound sequences that do not occur in English, or non-native consonant clusters. Sixty adults with typical speech, aged between 18 and 27 years, participated in the experiment. The researcher recruited participants into four groups based on their phonetic background (experienced or not) and language background (monolingual, bilingual). The participants produced stop-stop and fricative-nasal clusters in the initial position of nonsense words across six practice blocks. The duration of each cluster was measured, which in English …
Multimodal Analysis Of Content Drift And Algorithmic Bias In Youtube Recommendations, Mert Can Cakmak
Multimodal Analysis Of Content Drift And Algorithmic Bias In Youtube Recommendations, Mert Can Cakmak
Theses and Dissertations
Recommendation systems play a major role in shaping how users encounter information on digital platforms, yet their influence often unfolds through sequences of recommended content rather than isolated outputs. This dissertation investigates recommendation bias on YouTube by examining how recommendation pathways evolve across long-form videos and YouTube Shorts. Focusing on politically sensitive narratives, including the China–Uyghur conflict, the South China Sea dispute, and Taiwan’s 2024 presidential election, the dissertation develops a unified framework for understanding how recommendation systems reshape exposure across platform formats. Using an audit-based and multimodal methodology, the dissertation combines controlled recommendation collection, topic and relevance analysis, emotion …
The Impact Of Response Latency On Perceived Level Of Intelligence And Likability Of Autistic Speakers, Brinley Atkinson
The Impact Of Response Latency On Perceived Level Of Intelligence And Likability Of Autistic Speakers, Brinley Atkinson
Theses and Dissertations
The purpose of this study was to examine how turn-taking latency and speaker or listener gender affect the perceived intelligence and likability of the speaker across autistic speakers. In addition, the overarching goal of this research is to help speech-language pathologists (SLPs) better provide support and strategies to autistic individuals to improve their social and professional lives. Neurotypical English speakers (20 male and 20 female) were recruited to listen to a series of conversational speech samples collected from a group of eight autistic adults (four male and four female). In each sample, autistic individuals responded to a series of everyday …
Functional And Structural Lesion Network Mapping: Insights Into Acquired Brain Injury And Insomnia, Kathleen Erekson Rugh
Functional And Structural Lesion Network Mapping: Insights Into Acquired Brain Injury And Insomnia, Kathleen Erekson Rugh
Theses and Dissertations
Insomnia disorder is the most reported sleep disorder and can negatively affect daily functioning. Acquired brain injuries can lead to insomnia disorder. Limited research has explored a causal link between brain networks and insomnia symptoms in this population. This study replicated a lesion network mapping methodology of an insomnia study (Helquist et al., 2024) and extended it to examine structural networks linked to insomnia symptoms in individuals with acquired brain injuries. Traced lesions (N =44) were used as seed regions to compare against normative functional and structural network data. For functional analyses, we used resting state fMRI scans from a …
Crisis Preparedness And Confidence Levels In Faculty & Staff At Rowan University, Paige Bathurst
Crisis Preparedness And Confidence Levels In Faculty & Staff At Rowan University, Paige Bathurst
Theses and Dissertations
This study examined faculty and staff confidence and preparedness in responding to crisis situations at Rowan University. As higher education institutions face an increasing range of emergencies, understanding how employees perceive their readiness is essential for strengthening institutional crisis management efforts. Using a quantitative research design, data were collected through an anonymous online survey distributed to all faculty and staff. The survey measured participants’ confidence across multiple crisis scenarios, perceptions of preparedness and response competency, and participation in crisis-related training. A total of 135 participants completed the survey, and descriptive statistics, including mean confidence and agreement scores, were used to …
Real-Time Instruction Internalization For Large Language Models, Brenden Smith
Real-Time Instruction Internalization For Large Language Models, Brenden Smith
Theses and Dissertations
For the end user, Large Language Models (LLMs) are programs that process natural language inputs into natural language outputs. In popular usage, this tends to take the form of conversation: a user asks a question, provides information, or gives instructions, and the LLM (hopefully) replies in a manner we would expect of an informed and compliant person. While convenient and intuitive for users, this natural conversational format encourages the misconception that LLMs are learning from conversations, when they do not. This work presents the benefits and practicality of a language model paradigm that meets this user expectation -- that is, …
The Normative Evolution Of Political Crime In Egyptian Criminal Law 1881 – 1981, Anas Sayed Elkorashy
The Normative Evolution Of Political Crime In Egyptian Criminal Law 1881 – 1981, Anas Sayed Elkorashy
Theses and Dissertations
This thesis examines the historical evolution of the Egyptian criminal justice system's approach to managing political opposition. It employs the concept of "political crime" as a heuristic for analyzing the prosecution of dissent, despite the absence of a statutory definition within the legal system. By situating these practices within the broader context of political conflict, the study traces how criminal law has been used to manage rivalry and neutralize perceived threats to the state. Drawing on Fraenkel’s theory of the "Dual State," the thesis argues that modern Egyptian criminal justice has developed through a distinctive dual structure. The research distinguishes …
Patterns Of Molecular Evolution Driving Reproductive And Genomic Processes In Sauropsids, Taylor Green
Patterns Of Molecular Evolution Driving Reproductive And Genomic Processes In Sauropsids, Taylor Green
Theses and Dissertations
Sexual reproduction is an important driver of genetic diversity and speciation through such forces as selection, mutation, and drift. Sauropsids are an appropriate clade to study shared molecular drivers of sexual and genomic evolution due to their genome architecture, sex determination mechanism (SDM) plasticity, and large syntenous genomic regions. Using comparative phylogenetic methods, I identify predictable patterns of selection in meiotic recombination genes and clade-specific drivers of recombination rate evolution. Then, leveraging whole genome sequencing, I demonstrate that American alligator genomes are characterized by an ancient loss of genetic diversity driven by drift and historic inbreeding. I also generate a …
From Natural Language To Cryptographic Protocol Specifications: Evaluating Llms For Cpsa Generation, Martin Duclos
From Natural Language To Cryptographic Protocol Specifications: Evaluating Llms For Cpsa Generation, Martin Duclos
Theses and Dissertations
Formal verification can prove the security properties of cryptographic protocols, but translating natural language specifications into formal models requires specialized expertise, limiting the broader adoption of formal verification methods. This dissertation investigates whether large language models (LLMs) can lower this barrier by automatically generating Cryptographic Protocol Shapes Analyzer (CPSA) models from natural language protocol specifications. We evaluate three complementary strategies for improving LLM-based CPSA code generation through systematic experimentation across 104 protocols and 15 language models. First, we analyze prompt engineering and find that moderate structured guidance yields the most accurate outputs, while excessive prompt complexity degrades performance. Second, we …
An Exploration Of The Experiences Influencing The Trajectory Of Black Women Mid-Level Managers Into Senior-Level Administration At Predominantly White Institutions, Christine Hampton Jackson
An Exploration Of The Experiences Influencing The Trajectory Of Black Women Mid-Level Managers Into Senior-Level Administration At Predominantly White Institutions, Christine Hampton Jackson
Theses and Dissertations
This qualitative study explored the experiences of Black women in mid-level, non-faculty management roles at public Predominantly White Institutions (PWIs) in the Southeastern United States, with a focus on how these experiences influence their pathway into senior-level administrative positions. Grounded in Black Feminist Thought, the research utilized narrative inquiry to center the voices of Black women, recognizing their lived experiences as valuable and often underrepresented sources of knowledge in higher education leadership literature. Three research questions guided the study: (1) What experiences do Black women consider the most significant in their trajectory from mid-level manager to senior-level administrator at Predominantly …
Investigating The Evolution Of Shear Failure In Cross Laminated Timber (Clt) Transverse Layer Using Acoustic Emission, Harika Undadi
Investigating The Evolution Of Shear Failure In Cross Laminated Timber (Clt) Transverse Layer Using Acoustic Emission, Harika Undadi
Theses and Dissertations
Cross-laminated timber (CLT) is susceptible to rolling shear failure in the transverse layers. This study evaluated the rolling shear failure in southern pine (Pinus spp.) and yellow poplar (Liriodendron tulipifera) CLT panels using block shear, delamination, and interlaminar shear tests. Acoustic emission (AE) monitoring was integrated with video recording to capture structural damage while loading. The results showed rolling shear failure as the dominant failure mode in the transverse layer. The AE energy and the load-displacement curve were classified into stages і) deformation stage with negligible AE signals (elastic behavior); ⅱ) crack propagation stage with increased AE signals; and ⅲ) …
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 …
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 …
Delayed Timing Of Spring Application Of Nitrogen In Corn, Elizabeth Mae Worley
Delayed Timing Of Spring Application Of Nitrogen In Corn, Elizabeth Mae Worley
Theses and Dissertations
Application timing of nitrogen (N) fertilizer within the corn growing season can be crucial to crop nutrient uptake and availability. A lack of region-specific timing recommendations may result in inefficient fertilizer use and inconsistent yield responses. The objectives of this study were to determine how late in the growing season a first and second N fertilizer application can be pushed until corn yield is impacted and investigate whether Growing Degree Days (GDDs) should be used as better estimate of timing for N application than calendar date or growth stage. First applications were able to be delayed until V4-V6 growth stages …
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, …
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 …
Design And Uncertainty Methodology In High Efficiency Filtration Media Testing, Jeremy Andrei Adriano
Design And Uncertainty Methodology In High Efficiency Filtration Media Testing, Jeremy Andrei Adriano
Theses and Dissertations
Electrospun nanofiber media are being developed as potential alternatives to conventional HEPA filtration materials due to their small fiber diameters and tunable microstructures. To support future testing of these materials, the Small-Scale Test Stand (SSTS) at the Institute for Clean Energy Technology (ICET) requires modifications to ensure accurate and repeatable aerosol filtration measurements. Electrospun filters introduce challenges including fragile media structures and uncertain filtration efficiencies that may allow particle penetration to downstream instrumentation. This work evaluates adaptations to the SSTS design to support testing of electrospun filtration media. In addition, an uncertainty framework for aerosol measurements obtained using a Scanning …
Impacts Of Structural Design On Oyster Survival And Predation In Restored Oyster Reefs, Jaden Akers
Impacts Of Structural Design On Oyster Survival And Predation In Restored Oyster Reefs, Jaden Akers
Theses and Dissertations
Restoration efforts are critical to ensure healthy oyster populations, but the high cost and marginal success rate of many restoration efforts demonstrates the need to evaluate alternative oyster reef restoration designs and strategies. To address this issue, I conducted a paired field and mesocosm study to assess the influence of structural design on oyster survival and predation. Results of the field portion of this study showed that oyster survival was greatest in short and bed-level (i.e., sitting on the sea bottom) reef designs. When assessing how design features impact oyster drill activity, elevated reefs (i.e., elevated above the sea bottom) …
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. …
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 …
How Did A Pandemic Impact Park Usage Among The Older Adult Populations In Memphis, Tn?, Katherine Barlow
How Did A Pandemic Impact Park Usage Among The Older Adult Populations In Memphis, Tn?, Katherine Barlow
Theses and Dissertations
During COVID-19 older adults’ populations were a vulnerable demographic, and through a review of existing literature it was determined that there is limited research about park and outdoor space use during COVID-19 by older adults. This research seeks to address these gaps by examining how a pandemic impacted park usage among the older adult population (age 60+) in Memphis, TN at Shelby Farms Park. This study examines the comparison of park use during (2020-2023) and after (2023-present) COVID-19. A mixed methods approach was employed. Wilcoxon Signed Rank test was run to analyze the survey data and a significant statistical difference. …
Assessing Differences In The Frequency And Severity Of Osteoarthritis On The Mandibular Condyles Between Males And Females At Tell Abraq, Brittany C. Brown
Assessing Differences In The Frequency And Severity Of Osteoarthritis On The Mandibular Condyles Between Males And Females At Tell Abraq, Brittany C. Brown
Theses and Dissertations
Tell Abraq, a Bronze and Iron Age site in the United Arab Emirates, was a center of trade and cultural expansion during the Umm an-Nar period (2700–2100 BCE). Its multichambered tombs contain large, commingled burials, reflecting increasing sedentism and agricultural practices. This study examines mandibular osteoarthritis (OA) to explore lived experience and biomechanical stress. A total of 138 adult mandibles were analyzed for sex and OA severity. Results show generally mild and infrequent OA, though preservation limited analysis. Sex estimates suggested more gracile morphologies than previously identified. No strong sex-based differences in OA were observed. Overall, findings highlight the impact …
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 …
Characterization Of Water Quality In The Mississippi Sound Using In-Situ And Satellite Observations, William Elliott Butler
Characterization Of Water Quality In The Mississippi Sound Using In-Situ And Satellite Observations, William Elliott Butler
Theses and Dissertations
The Mississippi Sound is a highly productive estuary facing increasing pressures from natural disasters, oil spills, freshwater inflows, and coastal urbanization, yet it remains insufficiently monitored. In this study, key water quality parameters were quantified at 25 stations across the Mississippi Sound from 2024-2025 and integrated with Sentinel-3 satellite imagery retrievals to generate monthly turbidity maps from 2016-2025. Peak turbidity (~10 FNU) and TSS (~20 mg/L), reduced Secchi depth (~100 cm) and conductivity (~20,000 μS/cm), were observed from late winter to early summer; these conditions varied in fall and early spring. Colored dissolved organic matter was moderate, while chlorophyll-a 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 …