Digital Commons Network^™

Power At Sea Develop Phase, Jake Lauer, Isabella Heinemann, Bailey Gargasz, Zachery Boyer

Mechanical Engineering

This project develops a renewable, wave-powered charging system designed to extend the mission duration of Autonomous Underwater Vehicles by eliminating the need for frequent manual battery replacement. Building upon a prior oscillating water column prototype from the CONCEPT phase, the team redesigned and tested an improved system capable of converting wave-induced air motion into electrical power using a Wells turbine. Key enhancements include doubling the column diameter to increase displaced air volume, integrating a flared inlet and bi-directional nozzle to improve airflow, and selecting corrosion-resistant materials suitable for long-term deployment in marine environments. Multiple prototypes were constructed and evaluated through …

"None Of This Is Normal": The Golden Age Of Legal Bribery, James J. Sample

Hofstra Law Review

No abstract provided.

Legislation Is Hot: Reforming The Troubled Teen Industry In California, Jaclyn Ragusa

Hofstra Law Review

No abstract provided.

Quasi-Poisson Analogs Of Regular Poisson Varieties, Casen Thompson

All Graduate Theses and Dissertations, Fall 2023 to Present

Let G be a complex semisimple linear algebraic group with 𝐶 a conjugacy class of parabolic subgroups of G. In previous work, Dr. Crooks defines 𝑢_𝐶→ B_𝐶 , a universal flat family of a fine Hamiltonian Lagrangian G-bundles over 𝐶, and shows that 𝑢_𝐶 is a family of regular Poisson varieties. This manuscript introduces a natural candidate for a quasi-Poisson analog of Dr. Crooks’s construction, 𝑢_𝐶, using the framework of quasi-Poisson geometry established by Alekseev, Kosmann-Scwarzbach, and Meinrenken. It will be shown that this proposed quasi-Poisson analog indeed has a valid quasi-Poisson structure and …

"Please Put The Phone Down!": Self-Determination Theory Applied To Parental Social Media Mediation, Benjamin A. Dolowich

Dissertations

The majority of adolescents and young adults use social media (Chaddock, 2024; Coyne et al., 2013). Parents are faced with the challenge of considering the role social media may play in their children’s lives (Valkenburg et al., 2013). Using self-determination theory as a framework (Deci & Ryan, 2000), we investigated psychological needs as one mechanism connecting parental social media mediation strategies with well-being and emotional distress in a sample of young adults. Participants were 244 undergraduate students who completed online questionnaires. The results highlighted that controlling styles of parental social media mediation have an association with emotional distress. Psychological needs …

Reduced Mediators Released By Cyanobacteria During Exoelectrogenesis Detected Using Differential Pulse Voltammetry, Laura T. Wey, Monica Brachi, Yagut Allahverdiyeva, Shelley D. Minteer

Chemistry Faculty Research & Creative Works

Cyanobacteria generate electrical current through exoelectrogenesis (extracellular electron transfer) downstream of photosynthesis, yet the identity of the endogenous redox mediator(s) responsible remains unresolved. Here, we apply differential pulse voltammetry (DPV) to detect and characterise redox-active species released by Synechocystis sp. PCC 6803 under illumination. To enable sensitive detection, we developed an electrolyte intermediate between BG11 (Blue-Green-11) growth medium and MOPS (3-(N-morpholino)propanesulfonic acid) buffer that minimises background electrochemical interference while maintaining short-term cellular functionality. DPV revealed multiple light-enhanced oxidation peaks (0.1–0.65 V vs. saturated calomel electrode (SCE)) that were not resolvable using cyclic voltammetry, providing evidence that cyanobacteria release reduced compounds …

Generative Ai Adoption And Solvers' Popularity On Supply-Driven Crowdsourcing Platforms: The Dual Role Of Price Signals, Zimeng Zhu, Carol Hsu, Fiona Fui-Hoon Nah, Na Liu

Research Collection School Of Computing and Information Systems

Purpose – We investigate the effect of solvers’ adoption of Generative AI (GenAI) on their popularity in a supply-driven crowdsourcing platform. We also examine the impact of price signals as well as their heterogeneous impact based on the solvers’ membership duration on the platform. Design/methodology/approach – Our analysis focuses on solvers who adopt GenAI for design-related gigs on the supply-driven crowdsourcing platform. By combining propensity score matching (PSM) with multi-period difference-in-differences (DID), we examine how GenAI adoption impacts solvers’ popularity and how price signals affect this main effect. Findings – Our findings reveal that solvers who adopt GenAI tend to …

Artificial Intelligence (Ai) For Social Innovation In Health Education: Promoting Health Literacy Through Personalized Ai-Driven Learning Tools – A Systematic Review, Dina Mansour Tbaishat, Maha Waleed Elfadel

All Works

Background: Artificial Intelligence (AI) is transforming health education by enabling personalized, adaptive, and scalable approaches that may enhance aspects of health literacy. Despite rapid adoption, comprehensive synthesis of AI tools’ impact on health literacy as social innovation is limited. Understanding these effects guides educators, developers, and policymakers in designing potentially effective, inclusive, and ethical AI interventions. This review examines generative AI models, chatbots, and adaptive learning systems in supporting health literacy globally. Methods: A systematic review was conducted following PRISMA guidelines. Literature was identified primarily through PubMed/Medline, Scopus, and ScienceDirect. Connectedpapers.com was used exclusively as a citation chasing tool, performing …

Radio Frequency Tagging–Enabled Patient Monitoring: Integrating Mobility Tracking With Early Warning Systems For Enhanced Safety, Ahed Abugabah, Prashant Kumar Shukla, Piyush Kumar Shukla, Abhishek Dwivedi

All Works

Ensuring patient safety in healthcare environments requires continuous monitoring systems capable of identifying early warning signs of clinical risk. Traditional surveillance methods often fail to capture meaningful patterns in patient movement, limiting their ability to prevent incidents such as falls, prolonged immobility, or unnoticed health deterioration. Radio Frequency Tagging technology has been increasingly adopted for real-time patient tracking; however, existing systems are generally limited to location detection and lack predictive insights into patient behaviour. To overcome these limitations, this study presents a Radio Frequency Tagging-based patient monitoring framework that integrates mobility tracking with an early warning mechanism to enable proactive …

Understanding Chatbot-Assisted Collaborative Learning Among Female Undergraduate Students, Mohammad Amin Kuhail, Ahmed Shuhaiber, Sinan Salman, Nazik Alturki

All Works

Computer programming can be daunting for beginners due to complex concepts and syntax. Traditional teaching methods, while engaging through gamification and active learning, often lack personalized approaches. Recent advancements in artificial intelligence (AI), particularly large language models (LLMs), present new possibilities for personalized and interactive learning environments. This study introduces a chatbot-assisted collaborative learning environment (CCLE) that leverages an LLM (GPT-4) to enhance collaborative programming education. The CCLE enables real-time guidance and collaboration through natural language interactions, allowing students to work together on programming tasks, edit code collaboratively, and engage with both peers and the educational chatbot. We conducted an …

An Advanced Healthcare System With An Automated Vit Model For Dermoscopic Skin Cancer Identification, Ahed Abugabah, Prashant Kumar Shukla, Suchi Mishra, Abhishek Dwivedi

All Works

Early and reliable diagnosis of skin cancer from dermoscopic images remains challenging due to class imbalance, subtle inter-class variations, lesion boundary ambiguity, and illumination inconsistency, which can degrade the robustness of conventional convolutional neural networks (CNNs). To address these limitations, this study proposes an automated smart healthcare framework for dermoscopic skin cancer diagnosis using an Enhanced Vision Transformer (E-ViT) that improves global-context modeling through self-attention while strengthening fine-grained lesion representation learning. Unlike standard ViT configurations, the proposed architecture integrates multi-scale patch embedding and attention refinement to better capture border irregularities and color–texture heterogeneity that are critical for melanoma discrimination. Furthermore, …

Fair And Explainable Educational Recommendations With A Hybrid Graph-Gru Framework, Edmund Evangelista, Syed M.Salman Bukhari

All Works

Artificial Intelligence (AI) recommender systems are increasingly used in education to personalize learning and help students navigate large collections of digital learning resources. However, many existing approaches emphasize predictive accuracy over fairness, robustness, diversity, and transparency. This creates an important educational challenge. The students with limited participation histories may receive less reliable support, while highly popular resources may dominate recommendation lists and limit access to other useful learning materials. To address this challenge, this study aims to develop and evaluate a responsible educational recommender framework that supports personalized learning resource navigation while making recommendation behavior more fair, stable, diverse, and …

Large Language Models In Nlp: Evolution, Architectural Trends, And Open Challenges, Haseeb Javed, Babar Shah, Farman Ali, Daehan Kwak

All Works

The rise of Large Language Models (LLMs) has transformed how Natural Language Processing (NLP) and its subdomains are approached. Recent technological advancements have driven this transformation. This study offers researchers a detailed overview of LLMs, comparing them with traditional rule-based systems, statistical techniques, machine learning, neural networks, and the rise of transformer-based architectures. From a wider perspective, language models such as GPT, BERT, T5, PaLM, and LLaMA have facilitated the transformation of entire sectors, including healthcare and business, due to their highly scalable nature. Despite their wide range of applications, LLMs face numerous challenges, such as output biases, limited interpretability, …

Weathering The Divide: Social Determinants, Neighborhood Context, And Systemic Lupus Erythematosus Among African American Women, Vanessa Cl Morman

Electronic Theses and Dissertations

Background: Systemic lupus erythematosus (SLE) disproportionately affects African American women and contributes to racial health disparities in the United States. Although genetic susceptibility influences disease risk, growing evidence suggests that social determinants of health (SDOH), including neighborhood conditions, structural racism, and socioeconomic disadvantage, contribute to disease development and progression. Epigenetic mechanisms may provide a biological pathway linking adverse social conditions to chronic disease disparities. This dissertation examined the influence of SDOH on SLE disparities through evidence synthesis and empirical investigation to inform public health practice and policy.

Methods: This integrated learning experience consisted of three complementary manuscripts. Aim 1 was …

Beyond Symptoms: Examining Perinatal Mental Health Care Among Black, Indigenous And People Of Color With Polyendocrine Metabolic Ovarian Syndrome, Vinaya Thomas

Electronic Theses and Dissertations

Perinatal mood and anxiety disorders (PMADs) are as a public health concern in the United States. Individuals from minoritized racial/ethnic groups face a significantly elevated risk of maternal morbidity, mortality, mental health disorders, and associated adverse outcomes. Emerging studies also reveal a higher likelihood of experiencing perinatal mental health concerns in individuals with polycystic ovarian syndrome (PCOS), currently known as polyendocrine metabolic ovarian syndrome (PMOS). People who identify as Black, Indigenous, or a person of color (BIPOC) face unique healthcare challenges given the added structural and social burdens. This online survey study aimed to 1) understand the relationship between PMOS …

Computational Studies Of Triplet State Formation In Zinc Dipyrrin Complexes, Reuben Kwabla Adigbli

Electronic Theses and Dissertations

Zinc dipyrromethene complexes are promising earth-abundant photosensitizers due to their strong visible-light absorption and tunable excited states. To rationally design them for photocatalysis and photodynamic therapy, a molecular-level understanding of triplet-state formation is needed, but details of intersystem crossing remain unclear. To study the effect of π-extension, we synthesized an indole-substituted zinc dipyrrin complex: the dipyrromethane ligand was prepared from indole and mesitaldehyde, oxidized to the dipyrromethene, then coordinated with zinc. DFT and TD-DFT calculations determined ground and excited-state geometries and energies in different solvents, modeled absorption spectra, and visualized charge distributions. The results show how solvent polarity shifts energies …

An Assessment Of Accessibility And Affordability Of Inpatient Psychiatric Care In Tennessee, Kailee Havrda

Electronic Theses and Dissertations

Introduction: Access to mental health has seen changes over the past decade, but little research and attention have been given to access to inpatient psychiatric facilities. Inpatient psychiatric care is crucial for patients experiencing mental health emergencies who need immediate access to care. Gaps in spatial accessibility, affordability, and the access and assessment process were identified due to a lack of available information in the field.

Methods: Secondary data from the Tennessee Department of Health were used to assess financial accessibility through payer source charges and patient encounters, as well as through mapping of inpatient psychiatric facilities and conducting drive …

Kinesiology Department Chairs’ Perceptions Of Their Training And Preparation, Kason O’Neil

Electronic Theses and Dissertations

Department chairs are responsible for leading academic departments in higher education.  These individuals regularly make important decisions regarding such things as managing faculty and academic programming, overseeing budgets, and supporting student needs. Despite these responsibilities, many people become department chairs without receiving formal leadership training. This study explored how kinesiology department chairs across the United States viewed their preparation for the role and the importance of leadership training. A total of 111 department chairs completed an online survey about their background, previous training, and the importance of training for different administrative responsibilities. The results showed that most chairs had little …

Tennessee General Education Preschool Teachers’ Perceptions Of Their Preparedness To Teach Young Children With Disabilities, Misty M. Moody

Electronic Theses and Dissertations

Under the Individuals with Disabilities Education Act (IDEA), local education agencies (LEAs) must educate young children with disabilities in the least restrictive environment (LRE) while ensuring opportunities to learn alongside their non-disabled peers. As inclusive opportunities for preschool-aged children with disabilities continue to expand, general education preschool teachers play an important role in providing instruction that meets the diverse needs of all children. However, limited research has examined general education preschool teachers’ perceptions of their preparedness to teach young children with disabilities, particularly in Tennessee.

This qualitative study explored Tennessee general education preschool teachers’ perceptions of their preparedness to teach …

Toward Optimizing Fruit Production In Utah Soils: Apple Salt Tolerance Screening And Tart Cherry Fertility Management, Kaitlin Dabbs

All Graduate Theses and Dissertations, Fall 2023 to Present

Fruit production in Utah can be challenging due to local climate and soil conditions. Tart cherries and apples are major fruit crops in Utah, and improvements to these cropping systems would be beneficial for farmers and local consumers. Two experiments were conducted to evaluate desired improvements for these crops. The first study looked for salt tolerance in ten new apple rootstocks. Salty soils can be found throughout the state limiting the land suitable for apple production. When grown in salty soils apple trees often have reduced growth and production potential. A specialized drip irrigation system was constructed in a greenhouse …

Cascaded Pid Control Of A Passive Bio-Inspired Rotating Empennage Aircraft, Zachary T. Jenkins

All Graduate Theses and Dissertations, Fall 2023 to Present

This thesis presents an autopilot for a Bio-Inspired Rotating Empennage (BIRE) aircraft. Most airplanes control yaw using a vertical stabilizer and a moving rudder, a design that has stayed essentially unchanged for nearly a century but adds weight, drag, and surface area to the aircraft. The BIRE removes the vertical tail entirely and instead allows the horizontal tail to rotate about the body x-axis of the airplane; tilting the horizontal tail produces a yaw force, doing the job of a rudder. This thesis first develops a controller for the BIRE where the empennage angle is commanded directly, then extends …

International Aid And Post-Conflict Recovery In The Western Balkans, R. Mary Wall

All Graduate Theses and Dissertations, Fall 2023 to Present

After violent conflicts end, communities often receive international support to help rebuild their governments and economies. This study asks whether aid targeted toward physical reconstruction and institutional reform produces measurable outcomes in those areas. 

Examining five Western Balkans countries between 2000 and 2021, the study finds that infrastructure aid is associated with improved access to clean water and reductions in displaced populations, while aid directed toward strengthening government institutions shows no measurable association with improvements in government effectiveness within the same period. These findings suggest that in the years immediately following conflict, physical reconstruction produces more observable improvements than institutional …

Efficacy And Engagement In Digital Acceptance And Commitment Therapy: A Meta-Analysis And Investigation Of Mechanisms, Korena S. Klimczak

All Graduate Theses and Dissertations, Fall 2023 to Present

Digital mental health interventions offer a more accessible, affordable, and flexible option for mental health support. These apps and websites draw from the same therapeutic models as face-to-face therapy, but are available on demand at a fraction of the cost. In exchange, digital formats give up the personal relationship, accountability, and scheduled structure that keep people connected to treatment. This places a greater burden on users to stay involved on their own, and as a result, engagement is widely believed to be the main bottleneck limiting the impact of digital mental health care.

This dissertation examined engagement in digital programs …

The Willing And The Compelled: How Power And Place Shape Human-Bison Coexistence In Poland And The United States, Patrick Orville Kelly

All Graduate Theses and Dissertations, Fall 2023 to Present

Wildlife recovery programs depend not just on animals, but on how people feel about living with them. The degree to which people accept the disruptions wildlife brings to their lives, known as social tolerance, can determine whether a recovery program succeeds or fails, yet it remains understudied and underapplied in management plans. This dissertation studies how people in Poland and the western United States feel about living with the two living species of bison, the largest land animals in Europe and North America. In Poland, we surveyed 242 residents living at different distances from European bison habitat. Surprisingly, the most …

Scalable Quality Assessment Of Ground Motion Records Via Interpretable Deep Learning Architectures, Ali Montazeri Namin

All Graduate Theses and Dissertations, Fall 2023 to Present

Earthquake engineers rely on accurate recordings of ground shaking to design safe and resilient buildings. However, sorting through thousands of these recordings to find the reliable ones and throwing out those ruined by sensor errors or background noise is traditionally done by hand. Because modern seismic networks collect massive amounts of earthquake data every day, this manual checking process is much too slow. To fix this, researchers are turning to artificial intelligence to automatically check the quality of these recordings.

While artificial intelligence offers a fast solution, there are limitations. These computer models can become massive and expensive to run, …

Physics-Data-Hybrid Modeling And Control For Vtol Aircraft, Samantha Dawn Burton

All Graduate Theses and Dissertations, Fall 2023 to Present

Vertical takeoff and landing (VTOL) aircraft are hybrid aircraft having both a helicopter flight mode and a fixed-wing plane flight mode. The objective of this dissertation is to examine and evaluate a new approach, physics-data-hybrid (PDH), for VTOL aircraft modeling and control. The PDH approach combines traditional, physics-based methods (Newtonian mechanics) with data driven methods (a machine learning technique called a Koopman operator model) to create an efficient and accurate modeling and control framework—mitigating the disadvantages of the purely physics-based and purely data-driven methods. The PDH approach is used to model scenarios when the VTOL aircraft transitions between helicopter mode …

Training General Educators To Collect Antecedent-Behavior-Consequence Data Using Behavioral Skills Training, Mckenna Larsen

All Graduate Theses and Dissertations, Fall 2023 to Present

Many schools use a three-tiered system to meet the needs of individual students. General education teachers are often not given the training to provide the supports they are expected to provide. Evidence shows that when interventions meet the need the student is trying to communicate, these interventions are more effective. This research looked at the effects of training that involved modeling, practice, and feedback, also known as Behavior Skills Training (BST), on general education teachers’ ability to collect data on students’ behavior. It also looked at how teaching educators to collect data influenced their belief in their ability to handle …

From Solitons To Chaos: Nonlinear Dynamics Of The Time-Fractional Modified Regularized Long-Wave Equation, Samsun Nahar Ananna, Chunhui Lu, Abdulla Al Mamun, Md Al Amin Meia, Nur Hasan Mahmud Shahen

School of Mathematical & Statistical Sciences Faculty Publications

This study investigates the nonlinear wave structures and complex dynamical behavior of the time-fractional modified regularized long-wave (mRLW) equation through an integrated analytical, numerical, and dynamical framework, with particular emphasis on connecting localized wave formation with perturbation-induced nonlinear dynamics. Within the adopted fractional framework, a Hirota-type bilinear approach is employed to construct one-wave, two-wave, three-wave, lump, one-lump–one-soliton, and one-lump–one-stripe structures, whose numerical consistency is subsequently examined using the Modified Variational Iteration (MVI) method through graphical comparisons and L 2 and L ∞ error norms. The periodically perturbed mRLW system is further investigated using phase portraits, Lyapunov exponents, bifurcation diagrams, Poincaré …

Just Energy Transition To A Low-Carbon Economy In The Arctic: The Case Of Alaska, Jus Tavcar

Arctic and Northern Studies

Increasingly, government jurisdictions are finding ways to reduce carbon use within their boundaries, but different locations use varied tactics to create low-carbon economies. Furthermore, not all cities, states, or nations focus on the issue of inequity and the need for justice in the transition, so that the transition costs are not far higher for already marginalized groups. Using Alaska, an Arctic petrostate, as a case study, my research question is: What form of a just energy transition best fits the needs of Alaska’s communities struggling with the impacts of climate change? To answer this question, my research is grounded in …

Exploring Competitive Dynamics Between Pseudomonas Baetica And Salmonella In A Polymicrobial System, Braxton E.M. Stout

Electronic Theses and Dissertations

The global rise in antimicrobial resistance has catalyzed a greater focus on polymicrobial research aimed at characterizing microbial interactions and uncovering new therapeutic strategies. Though it has long been of interest, environmental soil-derived bacteria remain largely under-represented in research and thus uncharacterized in this field. This project aimed to identify soil microbes that display inhibitory mechanisms to potential nosocomial pathogens. Soil sample S1S3-2 displayed inhibitory phenotypes toward numerous bacteria and was identified as Pseudomonas baetica. In both planktonic and biofilm growth, P. baetica was able to inhibit Salmonella arizonae through a contact-dependent and temperature-dependent manner. Screening of a transposon insertion …