Digital Commons Network^™

Exploring The Relationship Between Grit, Burnout, And Academic Success Among First-Year Osteopathic Medical Students During Fundamentals Of Anatomic Science I Course, Heather Guzik

Graduate Theses and Dissertations

Burnout is a significant issue among healthcare professionals. Burnout refers to the mental, emotional, and physical exhaustion that can develop throughout one’s career or studies. It can affect professionalism and patient care (National Academies of Sciences, Engineering, and Medicine: National Academy of Medicine, 2019). Studies have shown that burnout begins early in an individual's medical education and can increase throughout their training (Voltmer et al., 2021). It has been suggested that students with a high level of Grit may exhibit some resistance to burnout (Jumat et al., 2020; Lee et al., 2022). This noncognitive trait measures a person’s ability to …

Nanoparticle Iron Based Catalysts For Clean Water And Other Applications, Shelby Lynn Foster

Graduate Theses and Dissertations

This dissertation explores the development, characterization, and application of iron-based catalysts for environmental remediation and energy generation. The research focuses on Fe-based nanomaterials for water purification, electrochemical ammonia production, and ethanol oxidation enhancement. The first section of the dissertation investigates the removal of water contaminants using nickel-iron (NiFe) bimetallic nanoparticles. Various NiFe ratios were synthesized and tested for their efficiency in degrading the azo dye (Orange G), with lower Ni content formulations achieving 80–99% dye removal within 60 minutes. Results show that changing the molar ratio of nickel to iron caused different removal rates, as well as the extent of …

Photochemical And Electrochemical Assessment Of Uio-66-Nh₂/G-C₃N₄ Thin-Film Heterostructures As Potential Candidates For Hydrogen Evolution: An Experimental Study Augmented By Dft Insights, Nour Abou Seada, Maryam Glal Elmahgary, Sameh O Abdellatif, Khalid Kira

Biochemical Engineering

The global shift towards carbon-neutral energy systems has catalyzed an intensified focus on sustainable hydrogen production, with photo and electrochemical water splitting emerging as a particularly promising pathway. This study elucidates the design, simulation, and synthesis of advanced photo and electrocatalytic materials tailored for the hydrogen evolution reaction (HER), concentrating on heterostructures formed by zirconium-based metal-organic frameworks (MOFs)—specifically, UiO-66 and its amine-functionalized derivative, UiO-66-NH₂—in conjunction with graphitic carbon nitride (g-C₃N₄). Employing density functional theory (DFT) simulations, we pre-screened the electronic properties of the MOFs, revealing that amine functionalization significantly narrows the bandgap and optimizes band alignment, thereby enhancing photocatalytic activity. …

From Imaging To Impact: A Multi-Disciplinary T32 Program Framework And Initial Insights For Training In Image-Guided Cancer Therapy, Kari J Brewer Savannah, Stephen Y Lai, Clifton D Fuller, Kristy K Brock

Faculty, Staff and Student Publications

As multi-disciplinary image-guided assessment and therapies become increasingly important for precision oncology, the need for comprehensive training opportunities that effectively prepare the next generation of clinician-scientists and scientists is evident. We present an innovative, evidence-based research training framework that integrates the following critical features: 1) intentional and personalized mentoring and career development, 2) immersive research in image-guided cancer therapy, 3) strategic mentored clinical exposure, 4) structured didactic learning and professional development opportunities, and 5) mentored grant writing. Designed to foster scientific rigor, translational thinking, and multi-disciplinary collaboration, the Image-Guided Cancer Therapy T32 Training Program (IGCT-T32) aims to prepare postdoctoral fellows …

Validation And Proposed Expansion Of The Data-Driven D Region Model, Kevin M. Watson

Theses and Dissertations

Predicting ionosphere effects on radio wave propagation is critical for communications and over-the-horizon radar systems. The D region is challenging to model for several reasons, one of which is chemical complexity. Ion density changes during sunrise/sunset introduce substantial uncertainty in electron density profiles (EDPs). The Data Driven D Region (D3R) model solves electron densities through an ion chemistry model and assimilates relevant space weather inputs. This study evaluates D3R against the Faraday International Reference Ionosphere (FIRI) and measurements using Very Low Frequency (VLF) propagation paths. Space weather event impacts on D3R EDPs are evaluated during the disturbed period from 8-12 …

Investigating The Impact Of Forest Vegetation On Nuclear Weapon Prompt Radiation Energy Deposition, Paul A. Clement

Theses and Dissertations

This work seeks to answer the unstudied questions “Does a layer of vegetation impact the prompt radiation energy deposition in the soil from an atmospheric nuclear detonation?” and “If yes, by how much?” A new methodology was developed to repeatably automate and streamline a process of generating a three-dimensional geometry for subsequent radiation transport simulations and statistical analysis. The methodology streamlined three diverse applications: a three-dimensional mesh generator, a radiation transport simulation code, and a sensitivity analysis & uncertainty quantification software. The methodology was tested by simulating the quantitative influence that vegetation has on changing the energy deposition into the …

A Review Of The United States' Long Term War Support Capabilities In The Indo-Pacific Command Region, Brian J. Mullin Jr.

Theses and Dissertations

This study examines U.S. maritime transportation readiness in the Indo-Pacific, highlighting fleet age, mariner shortages, shipyard decline, and port vulnerabilities. It also considers contested logistics and technological threats. Recommendations include fleet recapitalization, mariner pipeline growth, port diversification, and defensive upgrades. The study concludes that secure sea line assumptions are outdated and calls for greater resilience, with follow-on efficiency analysis proposed for ports and ships.

Automation Of Lcmc Logistics Processes: A Delphi Approach, Kline M. Alt

Theses and Dissertations

As the U.S. Air Force confronts growing complexity in system acquisition, the implementation of digital models in system design and logistics process management allows the incorporation of digital tools and the possibility for automation of portions of logistics processes. This thesis investigates where these technologies can be most effectively integrated within the Air Force Life Cycle Management Center logistics enterprise (AFLCMC). Using a three round Delphi study, AFLCMC logistics subject matter expert (SME) opinions were solicited from program-level senior logisticians, program managers to identify high-need areas, key success factors, and potential barriers to adoption. Quantitative consensus from Likert-scale and ordinal …

Supporting Employed Informal Caregivers, Michele Dinman, Natalie Galucia, Cal J. Halvorsen

Harvey A. Friedman Center for Aging

More than 53 million Americans are informal caregivers. These family members, friends, and acquaintances provide social, medical, transportation, and other support to individuals because of illness or disability without getting paid. Additionally, at least 2 million grandparents, not counting other kinship caregivers, provide care for children who cannot remain with their parents.1

Neurologists' Perspectives On Sudep Communication: A Comparative Study Across Five European Countries, Rohit Shankar

Peninsula Medical School

Objectives: The leading cause of epilepsy mortality is Sudden unexpected death in epilepsy (SUDEP). National and international guidelines recommend that people with epilepsy are counseled on SUDEP risk at the point of diagnosis or at the earliest opportunity. This study compares neurologist views from five European countries on attitudes and relevance of SUDEP communication. Methods: A cross-sectional online survey of 17 Likert questions using validated themes was circulated via different ILAE and/or equivalent organizations using a non-discriminatory exponential snowballing technique, leading to a non-probability sampling. Data were analyzed using descriptive statistics, Kruskal–Wallis, Chi-square, and Fisher's exact tests. Significance was accepted …

The Immeasurable Value Of Plankton To Humanity, Maria Grigoratou, Susanne Menden-Deuer, Abigail Mcquatters-Gollop, George Arhonditsis, Luis Felipe Artigas, Sakina-Dorothée Ayata, Dalida Bedikoğlu, Beatrix E Beisner, Bingzhang Chen, Claire Davies, Lillian Diarra, Owoyemi W Elegbeleye, Jason D Everett, Tatiane M Garcia, Wendy C Gentleman, Rodrigo Javier Gonçalves, Tamar Guy-Haim, Svenja Halfter, Jana Hinners, Richard R Horaeb, Jenny A Huggett, Catherine L Johnson, Maria T Kavanaugh, Ana Lara-Lopez, Christian Lindemann, Celeste López-Abbate, Monique Messié, Klas Ove Möller, Enrique Montes, Frank E Muller-Karger

School of Biological and Marine Sciences

Plankton, a diverse group of aquatic organisms, make Earth livable, regulate aquatic life, and provide benefits to human societies such as access to clean water, food security, and well-being. They also support economies and inspire biotechnological innovations. This article aims to raise awareness of the value of plankton to humanity and serves as an informative guide for aquatic professionals, policymakers, and anyone interested in plankton. We present the value of plankton across six themes of human interest: biogeochemistry; ecology; climate; the evolution of science; economy; and culture, recreation, and well-being. Guided by the 2022 Intergovernmental Science-Policy Platform on Biodiversity and …

Improving Hospital 30-Day Readmission Rates Through Post-Discharge Follow-Up Phone Calls, Maureen R. Wright

DNP and Student Works

Background: Thirty-day hospital readmissions compromise patient safety, increase mortality risk, and impose financial penalties on hospitals. Ineffective discharge education and care transitions leave patients vulnerable after discharge. Evidence shows that post-discharge follow-up calls within 24–72 hours can identify risks early and reduce preventable readmissions.

Purpose: This Doctor of Nursing Practice (DNP) project aimed to reduce 30-day hospital readmission rates by implementing post-discharge follow-up telephone calls guided by the Agency for Healthcare Research and Quality (AHRQ) Re-Engineered Discharge (RED) Toolkit.

Methods: Registered nurses conducted structured follow-up calls within 24–72 hours of discharge from the medical-surgical unit, reviewing health status, medications, appointments, …

Robust Ai Solutions For Financial Markets Through Generative Modeling, Dynamic Graph Learning, And Reinforcement-Based Portfolio Optimization, Jingyi Gu

Dissertations

Financial markets are inherently uncertain and dynamic, driven by complex factors such as macroeconomic signals, investor sentiment, and evolving inter-asset relationships. While machine learning has advanced financial modeling, existing approaches often fall short in addressing the real-world intricacies of finance. This dissertation confronts two critical challenges, human-driven stochasticity and risk-intensive decision-making under real-world trading constraints, while seizing a pivotal opportunity, the structural dynamics of evolving financial systems. These elements are foundational to advancing robust and practical financial intelligence.

To this end, this dissertation develops a unified framework for robust financial modeling and decision-making. The framework is architected as a progressive, …

Large-Scale Graph Algorithms And Applications With An Emphasis On Fintech Data, Fuhuan Li

Dissertations

Graph algorithms are essential analytical tools with applications spanning cybersecurity, biology, social media, and increasingly, financial technology (FinTech). The complex and interconnected nature of financial data, particularly in cryptocurrency networks, presents unique opportunities for graph-based analysis in fraud detection and anomaly identification.

This dissertation presents the design and implementation of scalable graph algorithms tailored for large-scale networks, with particular emphasis on FinTech applications. The primary contributions include: (1) novel cover-edge based triangle counting algorithms that significantly reduce computational overhead through breadth-first search preprocessing, achieving substantial speedups over traditional methods and dramatic communication reduction in distributed settings, (2) optimized parallel implementations …

Bodipy-Based Photocages For The Controlled Release Of Hydrogen Sulfide And Persulfides, Yanmei Li

Dissertations

Reactive sulfur species (RSS) such as hydrogen sulfide (H2S) and hydropersulfides (RSSH) are crucial mediators in a variety of physiological and pathological processes. Their regulatory roles span from maintaining cellular redox balance to influencing signaling pathways critical for homeostasis and stress responses. This dissertation investigates H2S and RSSH as biologically important molecules and explores the development of boron-dipyrromethene (BODIPY)-based photocages for its controlled, light-triggered release. Given H2S and RSSH's critical role in redox regulation and cellular protection, achieving spatiotemporal control over its delivery is essential for both therapeutic and research applications. BODIPY scaffolds offer favorable photophysical properties, including visible-light activation …

Reduced Order Models Of Hydrodynamically Interacting Flapping Wings, Jose Pabon

Dissertations

Fish schools exhibit a collective behavior and self-organization that is mediated by hydrodynamic interactions between individual fish. However, the long-time evolution of hydrodynamically interacting collectives is challenging to investigate due to the persistent influence of long-lived vortical structures, and the high-resolution requirements of direct numerical simulation at large Reynolds numbers. Reduced-order models have therefore played an important role in theoretical investigations of collectives of swimming bodies. The main results detailed herein are several new reduced-order models of swimmers that self-propel by flapping, i.e., by executing a prescribed periodic rigid body motion. The models are extensions of a discrete-time dynamical system …

Optimizing Hip And Knee Assistance For Walking And Sit-To-Stand Transitions: An Intrinsic Muscle Mechanics Based Predictive Approach, Neethan Ratnakumar

Dissertations

As the global population ages, the demand for wearable assistive technologies continues to rise, driven by their potential to enhance mobility and independence in older adults. Effectively designed controllers for lower-limb exoskeletons to assist sit-to-stand (STS) and walking are crucial for delivering efficient, safe, and comfortable assistance during daily activities. Traditionally, controller optimization involves biomechanical modeling and user-specific customization. Musculoskeletal simulations play a central role in this process by providing insights into human-exoskeleton interaction dynamics, thereby informing and refining control strategies.

This work presents a simulation-driven approach for developing exoskeleton controllers for walking and STS using two distinct methods: optimal …

Developing An Instrument To Measure Teacher Attitudes Toward Multilingual Pedagogies, Lauren H. Ramers

Dissertations

In an increasingly globalized world, substantial numbers of multilingual learners occupy K–12 and higher education spaces bringing diverse linguistic resources that, when intentionally and appropriately leveraged, can significantly enhance English language learning outcomes. Multilingual pedagogies, which honor and build upon students' full linguistic repertoires, are essential for fostering equitable and inclusive learning environments. This quantitative exploratory study investigated teachers' attitudes toward multilingual teaching with the goal of developing a reliable survey instrument—the Multilingual Pedagogy Scale (MPS)—to measure how teachers perceive language learning in multilingual classrooms and what they report doing in their classrooms.

First, a review of the research helped …

Racial Identity And Belonging Among Asian American Undergraduate Students In The Midwest, Seema M. Dahlheimer

Dissertations

Asian American students are often deemed overrepresented in higher education, leading to inequities in admissions, scholarships, and student support. This perception feeds and is fed by the model minority stereotype, which characterizes Asian Americans as hard-working and high-achieving and creates intense pressure to succeed academically (Poon et al., 2016). In addition, Asian American college students often experience racism and xenophobia, which can undermine their sense of belonging on campus. However, in the Midwest, where their immigration is more recent and conversations about race are often framed in terms of Black and white, Asian Americans often feel invisible and othered (Lee, …

Braingenebot: A Framework For Variant Prioritization And Generative Pretrained Transformer-Informed Interpretation Across Polygenic Risk Score Studies, Gang Qu, Nitesh Enduru, Xinyi Liu, Xiaoqian Jiang, Zhongming Zhao

Faculty, Staff and Student Publications

Polygenic risk scores (PRS) are widely used to assess genetic susceptibility in Alzheimer's disease (AD) research. However, the rapid expansion of PRS studies has led to dataset-specific biases-stemming from factors like population makeup, genotyping methods, and analysis pipelines-that result in inconsistent variant prioritization and limit generalizability and reproducibility. To address these challenges, we propose a transductive learning framework that integrates multiple PRS datasets for more robust risk variant prioritization, incorporating genome-wide association study (GWAS) priority scores as biologically informed priors. Additionally, we introduce BrainGeneBot, an AI-driven tool leveraging generative pretrained transformers with retrieval-augmented generation technology to streamline genomic analyses in …

Learning How To Interview For Qualitative Research, Kathryn Roulston, Brigette A. Herron, Caprial Farrington

The Qualitative Report

A key component of qualitative methods coursework has been the interview assignment, which typically prepares scholars to conduct in-person, individual, and open-ended interviews. This study examined what novice researchers did and learned during an interview assignment in an introductory qualitative methods course. Interview transcripts and reflections from 12 graduate students who enrolled in an online or face-to-face section of the course were analyzed. Findings review students’ reflections on the process of conducting the interview project, beginning with the preparation phase, what they discussed concerning how the interviews transpired and their experiences of the transcription process. The article reports on how …

Exploring Technology-Enhanced Learning: A Comparative Study Of Online And Offline Interactive Practices In The Iranian Higher Education System, Naser Rashidi, Mohamad Reza Farangi, Ali Hosseini

The Qualitative Report

This study explored how interactive teaching and learning are enacted through technology-enhanced methods in Iran’s higher education system. Using an exploratory qualitative design, it investigated the pedagogical strategies employed by instructors and examined whether these practices align with the principles of Technology-Enhanced Learning (TEL) across online and in-person contexts. Data were collected through the analysis of 263 class reports and 37 semi-structured interviews with university instructors. Thematic analysis using MAXQDA revealed six cohesive and interpretive themes: fostering human connection, empowering student voices, learning as dialogue, adaptive teaching, multimodal engagement, and feedback as dialogue. These themes reflect a holistic view of …

Preparation, Development, And Refinement Of The Interview Protocol In Qualitative Research, David C. Coker, Adebowale Akande

The Qualitative Report

Interview protocols are by far the most common method utilized in qualitative research data collection. Novice and experienced researchers, from working on dissertations to grant proposals or other publications, often lack detailed interview design methods, as many educational programs do not require specific coursework on interview protocols and question development. To improve qualitative research, we make a proposal to incorporate an interdisciplinary approach that operationalizes three stages: preparation, development, and refinement. Preparation involves mapping the extant literature to define broad, narrow, and focused topics to write actionable standards, goals, and objectives. Development uses instructional design and educational psychology to construct …

Patient Education On Conversion From Oral Art/Prep To Long-Acting Injectable (Lai) To Improve Patient Treatment Adherence, Marnel Reina Mae M. Hernandez

Doctor of Nursing Practice Final Manuscripts

Patient Education on conversion from oral ART/PrEP to Long-Acting Injectable (LAI) improves patient adherence.

Marnel Reina Mae Hernandez, MSN, RN

Joseph, F. Burkard, DNSc, CRNA, EBP-C

Background: Long-acting injectables (LAI) have been shown to be equally effective in viral load suppression. Implementing nurse led educational interventions in the use of oral treatment to LAI will address if LAI prescriptions can improve adherence and patient retention. Despite the availability of LAI for ART (antiretroviral treatment) and PrEP (pre-exposure prophylaxis for HIV) patients continue to have a low appointment adherence which can impact adherence and overall viral detectability. LAIs will continue to …

Compensation, Horizontal Diffusion, And Bottom-Up Pathways: State Climate Policies In The United States And Australia, Ian Bailey, Roger Karapin

Publications and Research

Recent years have seen growing interest in subnational governments as arenas of climate governance, but limited systematic research exists on the extent, conditions, or pathways through which subnational climate policies can influence, or compensate for deficits in, national policies. This article addresses this gap by examining options for states to influence climate policy in the United States and Australia, two countries where federal governments have made limited progress in developing national climate policies. As an analytical framework, it conceives a typology of state government approaches to climate policy that distinguishes among compensating, horizontal diffusion, and bottom-up pathways. It then uses …

Science And Superheroes: Um Researcher Speaks At Comic-Con, Clara Turnage

University of Mississippi News

OXFORD, Miss. – Marine biologist Tamar Goulet has shared her love of science and curiosity in classrooms and professional conferences around the world. This summer, she joined George Lucas, Queen Latifah and Ryan Gosling to bring that love to the stages of San Diego Comic-Con International.

No Trade Wars Without Taxation -Who's To Blame, And What Comes Next?, Domenico Imparato, Reuven S. Avi-Yonah, Doron Narotzki

Law & Economics Working Papers

As tariff policy once again shapes U.S. trade strategy, this article makes a foundational claim: trade wars are, at their core, tax wars. Against the backdrop of escalating economic tensions with the United States’ trade partners, this article argues that tariffs cannot be understood apart from the fiscal architecture that sustains them. What appears to be protectionism often masks deeper structural asymmetries in the U.S. tax system.

The discussion proceeds through three interrelated dimensions: reshoring production, promoting fair trade, and raising revenue. In each, the interaction between tariffs and the tax system reveals deeper distortions. U.S. export mechanisms such as …

A Comparison Of A Hyper-Heuristic And An Ea On The Portfolio Optimisation Problem, Rahul Soni, Matthew Craven, David Walker

School of Engineering, Computing and Mathematics

We analyse a selection hyper-heuristic (SHH) and NSGAII for the multi-objective cardinality constrained portfolio optimisation problem, an NP-hard problem addressing the asset allocation trade-off between return and risk under constraints of the number of assets. We evaluated the performance of the SHH and NSGA-II for cardinality constraints K = {2, 5}. Our results are competitive with those of NSGA-II.

Utilizing Simulation Training To Understand Maternal Cardiac Arrest Precipitated By Amniotic Fluid Embolism: A Quality Improvement Project, Erica L. Wright, Megan L. Tiernan, Michael W. Neft, Paige Spagiare, Erica Coffin

Doctor of Nurse Anesthesia Practice (DNAP) Manuscripts

Background and Problem: Maternal cardiac arrest precipitated by amniotic fluid embolism is among the leading direct causes of death among laboring women (Enomoto et al., 2022). Because it presents suddenly without any immediate apparent cause and lacks specific diagnostic tests, frontline obstetric caregivers must be vigilant, competent, and prepared to handle this potentially catastrophic emergency. Coordination among multiple disciplines is paramount since two lives, not just one, are at risk. Unfortunately, the rarity of maternal cardiac arrest significantly limits opportunities for staff to learn how to identify and manage these events successfully. Method: This quality improvement project established a simulation-based …

Charles Coughlin: Conspiratorial Radicalization And The Making Of A Fascist, Rachel D. Thompson

Graduate Masters Theses

This paper traces the radicalization of Father Charles Coughlin, a radio populist radio preacher from the 1930s who is most well known today for the extreme anti-Semitism and fascist tendencies which defined the later parts of his career. It seeks to determine why Father Coughlin became a fascist, as well as examining how much of his fascism was evident in his earlier years. Major areas of focus include: 1) A conspiratorial anti-Communist worldview that would align Coughlin with right-wing authoritarianism and was present from his early days. 2) His ascent to becoming a national figure as a populist radio preacher …