Digital Commons Network^™

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 …

The Association Between Cyber Behaviors And Hedonic And Eudaimonic Well-Being: The Moderating Role Of Personality Traits, Areej Elsayary, Juan Calmaestra, Mercedes Gómez-López

All Works

The increasing integration of digital technologies into everyday life has intensified engagement in various cyber behaviors, raising important questions about their relationship with individuals' well-being. This study examined the associations between online moral disengagement, problematic internet use (compulsive internet use), benign and toxic disinhibition, cyberaggression, and cybervictimization with both hedonic and eudaimonic well-being among emerging adults in the United Arab Emirates. Furthermore, it explores the moderating role of personality traits in these associations. Data were collected from 671 emerging adults (46.8% women) aged 18–29 years (M = 22.56; SD = 3.04). Results showed that cybervictimization and cyberaggression exhibited the strongest …

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 …

Engineering Sulfur Concrete Mixes: A Data-Driven Approach To Aggregate Packing And Binder Efficiency, Vasilia Al Khaldi, Abdel Hamid I. Mourad, Maisa El Gamal

All Works

Processing window (mass loss < 3%). A first-order, order-of-magnitude carbon-footprint estimate—presented with explicit caveats rather than as a full life-cycle assessment—indicates that replacing Portland cement with by-product sulfur is the dominant contributor to a substantial reduction in embodied CO₂ per cubic metre relative to equivalent-strength Portland cement concrete. The valorization of steelmaking by-products aligns with circular economy principles, enabling high-performance, recyclable, and low-carbon construction materials without chemical binder modification.

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, …

Anticipatory Governance And Leadership For Ai Implementation In Higher Education: A Scoping Review, Sandra Baroudi

All Works

As the education sector attempts to address rapid changes caused by Artificial Intelligence (AI), it becomes crucial to examine approaches to leadership at the organizational and system levels. This scoping review explores how anticipatory models of governance are conceptualised and operationalised globally within higher education settings in the context of AI-related transformations. Using a scoping review design, academic and grey literature published between 2020 and 2025 was searched across Scopus, EBSCOhost, ERIC, Google Scholar, and ProQuest. Nineteen sources were selected based on clear inclusion and exclusion criteria and analysed thematically. Findings revealed that while AI offers promising opportunities to transform …

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 …

Helixcross – Design And Development Of An Ai-Powered Cross-Examination Simulation For Forensic Expert Testimony Training, Mark Barash, Bruce Budowle

Faculty Research, Scholarly, and Creative Activity

Forensic testimony is where science meets the courtroom, and it is one of the critical forensic skills taught largely by apprenticeship. An examiner who overstates a match, mishandles a probability, or cannot support a method under direct or cross-examination can weaken the evidence in precisely the cases that rely on it. Yet in most forensic laboratories, testimony preparation remains largely informal, mentor-dependent, and unscalable. Consequently, many practitioners first face rigorous cross-examination at trial. To address this gap, HelixCross, an alpha-stage, publicly accessible, prompt-engineered large language model (LLM) agent, was developed. It uses retrieval-augmented generation (RAG) to simulate defense counsel cross-examination …

Leveraging Mammal Mycophagy To Determine Environmental Drivers Of Truffle Diversity, Brittany Hartsock

Electronic Theses and Dissertations

Many mycorrhizal fungi are hypogeous (truffle-forming), producing underground fruiting bodies. Studying truffles is inherently challenging due to their hidden nature. However, mycophagous mammals provide a unique opportunity to study hypogeous fungi because they rely on truffles as a food source. Although several truffle species have recently been described in the southern Appalachian region, their fruiting patterns remain poorly understood. To address this, we quantified truffle richness and spore loads from 670 Peromyscus scat samples collected across 42 sites spanning an environmental gradient during 2024 in the Blue Ridge Mountains of East Tennessee. We found that truffle richness and spore abundance …

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 …

Phytochemical And In-Vitro Cytotoxic Analyses Of Flavonoid Species Isolated From Chromolaena Leivensis, Luke A. Bryant

Electronic Theses and Dissertations

As a leading cause of death worldwide, cancer and its treatments remain a primary source of interest among researchers. Modern studies are looking into bioselective cytotoxicity to create new chemotherapies that do not have the same harsh side effects as those we use today. Natural product research has a promising future for the development of such treatments. Specifically, polar flavonoids may be the key to a bioselective treatment. Such flavonoid species are native to plants, often within flower petals or within the body. A natural antioxidant, they are designed not to harm healthy cells. This study focuses on the plant …

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 …

Instructional Coaching And Teacher Self-Efficacy, Ryan E. Rarick

All Graduate Theses and Dissertations, Fall 2023 to Present

Instructional coaching is one way schools help teachers grow in their practice, but it is not always clear how frequently coaching should occur. This study looked at whether teachers’ confidence was related to the support they received from instructional coaches and how often that support occurred. 

The study included 252 teachers in the Early Years Enhancement (EYE) program, including first-, second-, and third-year teachers, as well as experienced teachers who were new to their district. Overall, teachers who reported stronger coaching support also tended to report higher confidence in their teaching. This connection was strongest for first-year and third-year teachers, …

Balancing Root-Zone Oxygenation And Rhizosphere Stability: The Impact Of Aeration And Hypoxia On Hydroponic Plant Growth, Christian D. Baker

All Graduate Theses and Dissertations, Fall 2023 to Present

As the global population and food demand continue to increase, growers must look to innovative and sustainable methods for plant cultivation. Hydroponics is a popular method of sustainable plant cultivation where plant roots are suspended over a liquid nutrient solution. Hydroponics uses less water compared to traditional agriculture because there is no evaporation or solution runoff. It also maximizes land use, requires fewer pesticides and herbicides, and enables year-round cultivation in controlled environments. However, indoor hydroponic systems rely on artificial lighting, which has higher energy costs than traditional farming methods. Optimizing growing conditions is therefore critical to ensure long-term economic …

Pieces Solving A Puzzle: Emerging Roles And Cross-Field Analogies During A Distributed Epistemic Game, Jenna Matthews

All Graduate Theses and Dissertations, Fall 2023 to Present

In an effort to describe why some problems can’t be solved, a character compared them to a cubic meter of platinum - a block so dense that all the people who could squeeze around it still couldn’t lift it off the ground. In the same way, these problems simply can’t have enough people gathered around and communicating about them - and so they remain unsolved.

This research looks at the first Polymath Project (2009) as an example of a distributed epistemic game to examine how groups engage with complex problems. and without a locally omniscient individual. In this setting of …

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 …