Digital Commons Network^™

Neural Patterns Of Self-Efficacy And Resulting Changes After Cognitive Rehabilitation In Mild Traumatic Brain Injury, Emma N. Tribbey

Theses

Mild traumatic brain injury (mTBI) often leads to cognitive impairments, which can significantly affect recovery outcomes. Although there are many different interventions available for individuals with mTBI, evidence-based research has indicated that cognitive rehabilitation programs can lead to significant improvement in psychological symptoms as well as psychosocial and vocational functioning in mTBI. Additionally, clinical research has identified a construct, self-efficacy, or the belief in one's capacity to achieve goals, that may play a critical role in further improving cognitive rehabilitation outcomes. Current research examining self-efficacy and cognitive rehabilitation in mTBI has found that higher self-efficacy is associated with greater treatment …

Moonstorm In The Mainstream Or On The Margins?: Constellating St. Louis Lesbian Rhetorics From The Archives, Aurora Blanchard

Theses

Combining rhetorical analysis, oral history collection, and archival study, this multi-genre research project explores lesbian feminist organizing in the 1970s. Moonstorm was a St. Louis lesbian feminist magazine that operated in the 1970s and 1980s. The sample in this research project focuses on the issues of Moonstorm published between 1973 and 1977. Issues of Moonstorm are available for viewing in the archives of the State Historical Society of Missouri. Building on V. Jo Hsu’s theory of constellating, the poems and stories found in Moonstorm serve as sites of both contested and unconditional belonging for modern LGBTQ+ activists. Constellating, specifically in …

Colloidal Control Via Micellar Solutions, Timothy F. Niper

Theses

Mesoscale colloids composed of polyoctahedral silsesquioxanes (POSS) are promising candidates for the self-assembly of hierarchical structures as a continuum of size and morphology can be readily synthesized. However, there are substantial challenges in creating customized colloids that exhibit specific structural features, programmable binding, and stimuli responsiveness. Here, we explore a novel route to gain structural and directable control of these colloids by pairing them with thermoresponsive, polymeric micelles. These polymeric micelles cannot only swell the interstices of oligomeric colloidal droplets with the accuracy provided by the well-defined polymer micellization transition, but also act as absorbable colloidal depletants—a new class of …

Vigilante Justice Violence In Ghana: Does A Visible Police Force Reduce Support For Instant Justice?, John Ampomah

Theses

Vigilante justice remains a persistent issue in Ghana, with a significant portion of Ghanaians subscribing to it to address their grievances. While existing research has examined the social and cultural drivers of vigilante justice in Ghana, the role of visible police presence (i.e., police station and police patrol) on vigilante justice has received limited attention. This study seeks to add to the literature by exploring the relationship between visible police presence and support for vigilante justice by drawing on Black’s (1983) Self-Help Theory. First, I argue that a visible police force directly reduces public support for vigilante justice and indirectly …

Investigating The Impact Trichoderma Virens On Maize Phytohormones During Drought, Salt, And Cold Stress, Kathryn Spencer

Theses

Abiotic stresses are becoming increasingly frequent and severe due to climate change, leading to significant reductions in crop yields. Though sessile, plants are not defenseless. They can invite plant-growth promoting microbes to colonize their rhizosphere and help reprogram their chemical defense systems. Through these partnerships, plants can more rapidly and robustly recover from environmental stressors compared to those grown in isolation. In this study, the role of the beneficial microbe Trichoderma virens in phytohormone production was explored in maize, a globally important staple crop, under drought, salt, and cold stress, with or without microbial inoculation. Using a liquid chromatography mass …

The Impacts Of Water Lily Invasion And Removal On Wetland Ecosystem Function, Vanessa R. Baker

Theses

Colonization by native and non-native invasive plants is considered a primary reason for the failure of wetland restoration and creation projects. We investigated the impact of invasion and subsequent removal of Nymphaea odorata (white water lily) in two permanently flooded wetlands in Western New York State. Long-term grazer exclusion experiments at these sites demonstrated that selective grazing by herbivores, such as waterfowl, reduced emergent vegetation and overall plant diversity, simultaneously facilitating N. odorata expansion. This interaction ultimately promoted a negative feedback to waterfowl use of the wetlands because of the lack of open water space. To evaluate potential remediation options, …

A Computational Framework For Investigating Novel Bacterial Conjugation Inhibitors, Serena Tuytschaevers

Theses

Antimicrobial resistance (AMR) is a major global threat, contributing to an estimated 700,000 deaths annually. One of the main ways that AMR genes spread among bacteria is through conjugation. Therefore, it is crucial to develop conjugation inhibitors (COINs) to combat AMR. Shared characteristics between known COIN molecules are a hydrophobic tail, unsaturations, and a polar head. Considering these characteristics and accounting for the efficacy of 2-hexadecynoic acid and Tanzawaic Acids (TZAs) low toxicity, we designed a new set of TZA analogs. The predicted protein target of previously identified COINs is TrwD, an ATPase in the type IV secretion system (T4SS). …

Examining The Influence Of Sports Nutrition Counseling On Collegiate Athletes, Jenelle Leon Saravia

Theses

This study explored the influence of nutrition counseling provided by registered dietitian nutritionists (RDNs) on collegiate athletes’ dietary behaviors, knowledge, and perceptions of nutrition. A mixed-methods approach was employed, incorporating qualitative interviews with 15 athletes from six sports across four schools. Participants reflected on their counseling experiences, focusing on its impact on their nutritional habits, health, and athletic performance. Quantitative data, including a one-sample t-test on recommendation scores, revealed a mean score of 6.73 (SD = 0.46) on a 7-point scale, indicating consistently high satisfaction with nutrition counseling. Thematic analysis identified five themes: Influence of Counseling, Behavioral Changes, Self-Reported Understanding …

Application Of Science And Technology Studies To Global Medical Device Donation Policy, Jolie Crunelle

Theses

In low and middle income countries, the World Health Organization estimates that nearly 80% of medical devices and equipment are procured through donation (WHO 2000). While these donations have the potential to play a critical role in the recipient communities’ health, the donated devices sometimes fall short of their potential due to improper use or lack of support—despite the existence of a variety of guidelines and regulations for medical equipment donations. While conducting volunteer biomedical equipment technician work in Guatemala and Uganda, I came to notice the disparity between the guidelines and the reality on the ground. This study aims …

Animating The Mechanism Of Action Of The Novel Glioblastoma Vaccine Survaxm, Sheila Figel

Theses

Glioblastoma (GBM) is a deadly type of malignant brain tumor affecting over 11,000 people in the United States each year. Treatment options for GBM are limited, with the majority of patients receiving surgery and chemoradiation, and surviving around 15 months. New therapies are desperately needed. A novel peptide vaccine, SurVaxM, has shown promise in phase I and II clinical trials, and is currently under investigation in a Phase IIb trial (the “SURVIVE” trial) for newly diagnosed GBM. As SurVaxM moves closer to FDA approval, there is a need for education about the agent and how it works. In order to …

Basking In Abundance: Distribution And Abundance Of Alabama Map Turtles (Graptemys Pulchra) In The Upper Coosa River, Abigail Wilkins

Theses

The Alabama Map Turtle (Graptemys pulchra) is one of the least studied species of turtle in the United States. Little is known about the species distribution and abundance within the northeastern portion of its range. The aim of this study is to determine the distribution of G. pulchra in the Upper Coosa River drainage as well as estimate population sizes for G. pulchra at 6 sites accessible in the Upper Coosa River Drainage. I used a variety of methods (e.g., rapid assessment surveys, trapping, mark-resight population estimates) to determine the presence and abundance of the species in the Upper …

Enhancing Pedestrian Safety Around Jacksonville State University: A Gis-Based Perception And Crash Analysis, Husain O. Alegimenlen

Theses

This study uses a Geographic Information Systems (GIS) based approach to assess pedestrian safety around Jacksonville State University (JSU) by combining vehicle crash data with perception surveys from 111 pedestrians and 97 drivers. The research identifies high-risk areas, explores contributing factors, and recommends targeted safety improvements.

A total of 209 geocoded crash records (2021 to 2024) were analyzed using Kernel Density Estimation (KDE) and hotspot analysis in ArcGIS Pro. Crash clusters appeared along Pelham Road North and Mountain Street, marking key vehicular risk zones. Three major pedestrian danger areas were found: (1) Nisbet Street NW and Cardinal Lane NW, (2) …

Flood Risk Assessment In Humanitarian Contexts: A Remote Sensing And Gis Methodology Applied To Nyarugusu Refugee Camp, Tanzania, Carolyne Vincent Mbirika

Theses

Flooding is a global challenge, with effects mostly experienced in developing countries due to insufficient data for effective flood risk assessment and management. Refugee settlements are particularly vulnerable to flooding due to their remote locations, high population density, and temporary shelters, necessitating flood susceptibility mapping to effectively mitigate risks and minimize damage prior to flooding events. This study assessed flood susceptibility in the Nyarugusu refugee camp, Tanzania, through Multi-criteria Decision Analysis (MCDA) and Analytical Hierarchy Process using remote sensing and Geographic Information Systems (GIS) approaches. The flood susceptibility map that resulted from this process categorizes flood-prone areas into three classes: …

A High-Efficiency Ldo Regulator With Adaptive Psrr And Transient Enhancements, Daniel Zeznick

Theses

Reliable power delivery is essential for all computing systems, particularly those operating with limited or constrained energy sources, such as batteries. Power management circuits must provide energy efficiency, stability, and resilience to disturbances to support accurate and consistent system performance. This thesis presents a high-efficiency low-dropout (LDO) regulator featuring adaptive power supply rejection ratio (PSRR) and transient response enhancement techniques. By leveraging adaptive analog design strategies, the proposed regulator dynamically boosts performance at high load currents, maintaining optimal efficiency across the full load range while circumventing key trade-offs inherent to conventional LDO architectures. The design incorporates several novel circuit techniques …

Adaptive Reuse Of Abandoned Schools, Dayana Williams

Theses

This thesis investigates the adaptive reuse of abandoned school buildings in economically declining communities, mainly focusing on how these transformations can contribute to sustainable community revitalization. The research highlights Columbus, Ohio, where school closures and grade realignments threaten to leave many school properties vacant, especially in minority neighborhoods. This adaptive reuse strategy presents an opportunity to address issues such as urban decay, resource efficiency, and social equity by repurposing these buildings into multifunctional community assets. The study adopts a multi-method approach, including literature reviews, case study analysis, and community needs assessments, to identify best practices and critical challenges in adaptive …

An Ultra-Low-Power, Area-Efficient All-Analog Trojan With Temporal Power Supply Triggering, Roberto Ramos-Brito

Theses

With the rapid expansion of the Internet of Things and rising concerns over intellectual property protection, hardware security has become increasingly vital—particularly in defending against hardware trojans. While much of the existing research targets digital trojans, analog hardware trojans remain largely unexplored, presenting unique opportunities for developing innovative attack vectors and mitigation strategies. This thesis introduces a novel all-analog temporal trojan that functions entirely within the analog domain. The design incorporates power supply noise detection and charge-accumulator techniques to enable precise control over attack execution and payload delivery. It also leverages novel circuit techniques to reduce power and area overhead, …

Human-Aware Reinforcement Learning For Adaptive Human-Robot Teaming, Saurav Singh

Theses

The rise of Industry 5.0 has shifted robotic systems toward human-centric design, emphasizing collaboration between humans and machines. While collaborative robots (cobots) are equipped with sensors for safety, they typically overlook human internal states such as fatigue, stress, and workload—factors that significantly impact performance. This lack of awareness limits their ability to adapt and collaborate effectively, particularly in dynamic, real-time environments where human conditions fluctuate. This thesis introduces a novel framework that integrates human internal states into robot decision-making to enhance human-robot collaboration. This research leverages reinforcement learning (RL) to develop methods that enable robots to adapt their behavior based …

Implementation Of Machine Learning To Predict Cable Failures In Electrical Networks, Sultan Bader Albahri

Theses

Electrical networks are critical infrastructures that power industries, businesses, and households. Among their key components, electrical cables play a vital role in ensuring uninterrupted power distribution. However, cable failures due to aging, environmental factors, mechanical stress, and load imbalances pose significant challenges, leading to outages, financial losses, and reputational damage. Traditional maintenance approaches, which rely on periodic inspections and reactive repairs, have proven inadequate in preventing unexpected failures. In response to this challenge, predictive maintenance using Machine Learning (ML) has emerged as an effective solution. This research focuses on developing an ML-based predictive model to forecast cable failures in Dubai …

Color Constancy In Virtual Environments With Head-Mounted And Flat-Panel Displays Across Different Illuminants And Lightness Levels, Andrea Avendano Martinez

Theses

Virtual reality (VR) is commonly used as a tool for enhancing immersion within virtual environments, with one of its primary goals being to approximate real-world perception as closely as possible. In everyday life, variations in lighting conditions significantly influence how colors are perceived across different times and settings. However, the human visual system compensates for these changes, maintaining relatively stable color perception; a phenomenon known as color constancy. This process is driven by chromatic adaptation, the visual system’s adjustment to changes in illumination. Despite the growing use of VR, little research has explored how color constancy operates in virtual environments …

This Night, Roshni Jayakrishnan Nair

Theses

"This Night" is a 2D animated Graduate Thesis Film. The story centers on a devout elderly woman who receives a vision foreshadowing her departure from life. Guided by this vision, she embarks on a profound journey. In her garden, she plucks a hibiscus and offers it to the deities in her home. As she prays with closed eyes, she envisions her hibiscus offering reaching the temple doors. Recognizing this as her sign to depart, she resolves to set out on her journey to meet the goddess at the temple. Plucking another hibiscus to carry with her, a sudden gust of …

Implementation And Dissemination Of The 'About Eating' Program: Evaluating Participant Engagement, Usability, And Module Interest, Justin Konrad Walker

Theses

Abstract Background: Online nutrition education can improve food choices among underserved populations. The About Eating New York (AENY) program is a web-based, self-paced series of modules designed to enhance nutritional literacy, resource management, and confidence in healthy eating. Leveraging dissemination and implementation (D&I) science, AE partnered with community organizations across New York’s ten fiscal regions to extend its reach. Methods: This study analyzed secondary data from the AENY dissemination effort. Participants were recruited via social media and community organizations. Pre- and post-program surveys and end-of-lesson surveys assessed demographics, engagement, and perceptions of usability. Quantitative analyses included descriptive statistics, t-tests, ANOVAs, …

The Use Of Robotic Surveillance In The Uae In 2035: Balancing, Innovation, Regulation, And Privacy, Oasha Yousuf Almohier

Theses

This research explores the future of robotic surveillance in the United Arab Emirates (UAE) by 2035, aiming to balance innovation, regulatory oversight, and privacy protection. It investigates the intersection of national security objectives, ethical AI governance, and public trust within the UAE’s rapidly advancing smart city and law enforcement environments. The focus areas include regulatory gaps in current AI laws, ethical concerns such as data privacy and algorithmic bias, and the societal perception of AI-powered surveillance systems. The background of this study stems from the UAE’s ambition to lead in AI deployment, especially within public security initiatives such as autonomous …

Detecting Compromised Hardware Integrity With Machine Learning In Multicore Processors, Alexander Beekman

Theses

Due to the globalization of the Integrated Circuits (IC) manufacturing process, the trust surrounding hardware reliability has become compromised through methods such as injection of malicious hardware (including hardware trojans), hardware backdoors, IP theft, and counterfeit hardware. This thesis will focus on the issue of counterfeit hardware. As the complexity of modern day hardware has increased, detecting counterfeits has become increasingly difficult. Current methods of physical and electrical inspection are limited in both depth and size limitations. Physical inspections are only useful for identifying counterfeits that manifest physically, while electrical testing requires expensive and extensive setups. Computational evaluation of all …

Enhancing In-Car Interaction: Analyzing Deaf And Hard-Of-Hearing Drivers’ Usage, And Interaction With Voice-Controlled In-Car Infotainment System, Sanskriti Kumar

Theses

Voice Control Interface is a technology that allows users to use spoken language to interact with a system. The system is capable of speech recognition where the user can input a command, the system understands and executes the commands, and gives an output through text and/or speech. Voice Control Interfaces (VCIs) have become an ubiquitous technology, from public information kiosks to personal computer devices and intelligent virtual assistant devices. The technology is constantly evolving and improving with the intentions to make life easier, however, research has revealed unique challenges VCIs pose for Deaf and hard-of-hearing (DHH) users due to reliance …

Ferroelectric Field-Effect Transistors In Analog Applications: Demonstrated In Time-Domain Neuromorphic Computing Cells, Jacob O'Donnell

Theses

In response to diminishing improvements from transistor scaling, the semiconductor field has shifted its focus to architectural innovation and emerging device technologies. Ferroelectric field-effect transistors (FeFETs) are non-volatile memory elements which offer new opportunities for energy-efficient computing, particularly in compute-in-memory (CIM) architectures. This thesis presents a novel FeFET-based computing cell integrated into a time-domain (TD) computing architecture. The proposed design is evaluated using a device model derived from experimental data and compared with competing non-volatile memory implementations. Results demonstrate improvements in area efficiency and performance, highlighting the potential of the FeFET cell for next-generation TD-CIM systems.

Beyond The Food: A Scoping Review Of Avoidant/Restrictive Food Intake Disorder (Arfid)'S Comorbidities, Nutrition, And Growth Outcomes, Emily Szewczyk

Theses

Objective A scoping review design was chosen for this study to appropriately assess and understand the knowledge on ARFID and to identify psychological or developmental comorbidities, growth outcomes, and nutrient deficiencies and/or excesses in children and adolescents. Introduction Avoidant/Restrictive Food Intake Disorder (ARFID) is a relatively new eating disorder, characterized by the DSM-5 in 2013.1 Individuals with ARFID exhibit selective eating due to lack of interest in eating food, sensory sensitivity, or a fear of possible vomiting or choking.2 The malnutrition seen in individuals with ARFID can result in physical health complications including weight loss, malnutrition, growth delay, decreased bone …

On Studying Transformer Networks For Volume-To-Surface Registration Of Inhomogeneous Soft Bodies For Liver Laparoscopy, Michael Adam Young

Theses

An important practical consideration in laparoscopic liver surgery is the limited visual information relative to open surgery. In laparoscopic interventions, the surgeon’s view of the liver surface is generally limited to the scene provided by a single scope with a narrow field-of-view. This limits the ability to navigate towards internal lesions previously identified through pre-procedural imaging. Surgical navigation during laparoscopy could be enhanced by registration of full preoperative liver models derived from pre-procedural imaging scans onto the partial laparoscopic view of the liver. This entails both a rigid registration to match the liver surface view to the preoperative volume, as …

Network-On-Chip Packet Obfuscation And Encoding For Hardware Trojan Mitigation, Sydale John Ayi

Theses

Networks-on-Chip (NoCs) represent a transformative advancement in System-on- Chip (SoC) communication architectures, addressing the scalability and performance limitations of traditional bus-based systems. The increasing reliance on NoCs in modern SoCs has raised security concerns, particularly in untrusted fabrication environments. This thesis investigates the vulnerabilities posed by malicious hardware Trojans and untrusted IP cores, such as reverse engineering, misdirection attacks, and brute-force decryption. To counter these threats, the study introduces a robust security framework leveraging encoding and obfuscation techniques. Hamming codes are employed to detect and correct errors, ensuring data integrity and correcting misdirection attacks. Discrepancies between codewords and data words …

A Bayesian Belief Networks Approach To Prioritize Road Safety Mitigation Measures For Eco-Mobility Modes, Fatmah Mohamed Alyammahi

Theses

This study presents an innovative decision-making approach that enables the prioritization of road safety measures for eco-mobility users—pedestrians, cyclists and light-electric micromobility riders—in Abu Dhabi. The analysis uses 2032 eco-mobility crash records (1016 pedestrian, 567 bicycle, 449 e-scooter) from 2020-2023 supplied by Abu Dhabi Police and the Department of Municipalities and Transport. A supervised Bayesian Belief Network (BBN) was constructed around six empirically estimated variables: visibility, predictability, road curvature, obstructions, lighting and speed limit. Maximum-likelihood conditional-probability tables were derived from the cleaned dataset; Beta priors were applied only where cell counts were sparse. Ten conventional machine-learning models—including Random Forest, Gradient …

Continuous Professional Development (Cpd) For Inclusive Education In Uae Schools: Current Practices And In-Service Teachers’ Preferences, Hafsa Khaled Aishan

Theses

Professional development serves as a driving force in empowering teachers within inclusive education settings. The purpose of this study was to investigate the perspectives of both general and special education teachers about the effectiveness of currently implemented professional development practices. Data were collected using explanatory mixed-methods design, which included a questionnaire and semi-structured interviews. This method was utilized to improve the depth of research through the integration of quantitative and qualitative data. The combination of these two methods strengthens validity, reduces bias, and increases reliability. Non-probabilistic purposive sampling method was employed to collect the data as a total of 115 …