Investigating Global Lightning Observed From Ground And Space, And Its Relationship To Solar Activity, Megan Diane Mark

Theses and Dissertations

The extremes of lightning, specifically lightning with long-lasting continuing currents and lightning with extremely high peak currents, are investigated from both ground- and space-based observations. Additionally, the potential solar influence on lightning is investigated on large spatial scales.

Continuing currents may occur following the impulsive flow of current during a cloud-to-ground (CG) return stroke and are usually low amplitude (from a few amperes to a few kiloamperes) and long duration (several to hundreds of milliseconds). Remotely estimating their duration from the electromagnetic fields measured by existing ground-based lightning locating systems (LLSs) is not possible, but some space-based lightning detection systems …

University Of Tennessee At Chattanooga Faculty Handbook, 2025 August 1, University Of Tennessee At Chattanooga. Office Of Academic Affairs, University Of Tennessee At Chattanooga. Faculty Senate

University of Tennessee at Chattanooga Faculty Handbooks

Governance, policies, guidelines, services, and resources managed by and for the faculty at the University of Tennessee at Chattanooga.

Misinformation, Disinformation, And The Erosion Of Institutional Trust: The Role Of Social Media In Democracy, Andres Murillo

International Studies (MA) Theses

In recent years, social media-driven misinformation and disinformation have helped erode public trust in democratic institutions. This thesis examines how constant exposure to false online content correlates with declining confidence in democracy and evaluates the roles of platforms, influencers, and mechanisms. Using a convergent mixed-methods design, this thesis pairs a quantitative survey with a qualitative analysis of three disinformation case studies: the 2020 U.S. election and the “Stop the Steal” movement, the Rohingya crisis in Myanmar crisis, and Russian denial of wartime atrocities in their invasion against Ukraine. Drawing on classical and modern propaganda theories (Lasswell, Herman & Chomsky, RAND’s …

Layer-Wise Prediction Of Overhang-Related Geometric Deviation In Metal Additive Manufacturing With Conditional Generative Adversarial Networks, Himal Sapkota

Theses

Ensuring dimensional precision in parts with complex overhangs is a significant concern in Metal Additive Manufacturing (MAM), as undetected geometric deviations can compromise functionality and reliability. This research introduces a Conditional Generative Adversarial Network (cGAN), specifically the Pix2Pix framework, to predict layer-wise geometric deviations in Laser Powder Bed Fusion (LPBF) printed parts with overhang geometries using paired 2D CAD slices and corresponding X-ray Computed Tomography (XCT) based ground truth images. A key innovation is using RGB color-coded CAD slices to encode overhang angle information, enhancing feature distinction and prediction accuracy compared to non-color-coded inputs. Eighteen Pix2Pix models were trained across …

Evaluating Ai Language Models In Ophthalmic Question Answering For Primary Care, Charis C. Hodges, Brenton T. Bicknell, Robert G. Tauscher

Heersink School of Medicine Student Presentations

No abstract provided.

A Qualitative Interpretative Meta-Analysis Of The Experiences Of Women Under Community Supervision, Gifty Kinful

Research Papers

Research reveals that women parolees or probationers encounter both challenges and support systems as they navigate their reintegration into the community. More specifically, most women returning from prison and those on probation are released into a society of stigma where access to housing, employment, education, transportation, and healthcare services is either severely limited or nonexistent. These serious obstacles can undermine their ability, motivation, and desire to succeed while on probation or parole. Support systems may be more or less available and effective. The qualitative literature on women under community supervision is large but to our knowledge, the diverse studies have …

Linking Chronic Kidney Disease To Incident Heart Failure And Adverse Cardiac Remodeling Through The Plasma Proteome: The Aric Study, Leo F Buckley, Pranav Dorbala, Victoria Lamberson, Brian L Claggett, Yue Ren, Morgan E Grams, Josef Coresh, Kunihiro Matsushita, Ryan T Demmer, Ruth F Dubin, Rajat Deo, Peter Ganz, Christie M Ballantyne, Ron C Hoogeveen, Bing Yu, Amil M Shah

Faculty, Staff and Student Publications

Background: Investigation of circulating plasma proteins may reveal insights into molecular pathways that contribute to the development of heart failure (HF) among people with chronic kidney disease.

Objectives: The authors aimed to identify circulating kidney function-related plasma proteins that are associated with the risk of incident HF.

Methods: The authors studied participants of the ongoing longitudinal ARIC (Atherosclerosis Risk In Communities) study. Relative plasma concentrations of 4,697 unique proteins were measured with the use of an aptamer assay (Somalogic). Each protein was tested for associations with estimated glomerular filtration rate (eGFR), log-transformed urine albumin-to-creatinine ratio (UACR), and incident HF by …

Insights Into The Radiation Chemistry Of Flash Radiation Therapy, Alan E. Lopez Hernandez

Dissertations and Theses (Open Access)

Purpose: FLASH radiation therapy (FLASH-RT) is an emerging modality that delivers radiation at ultra-high dose rates (UHDR) and has shown consistent normal tissue sparing while preserving tumor control compared to conventional RT—a phenomenon termed the FLASH effect. Despite promising results, the mechanisms behind the FLASH effect remain unclear. Many hypotheses point to radiolytic interactions, but experimental validation is limited. This work aims to develop a robust experimental platform to evaluate the relationship between radiolytic species production and physical beam parameters relevant to FLASH-RT, alongside dosimetry tools for reliable UHDR beam characterization.

Methods: A beam collector (BC) Faraday cup detector was …

Resolving Intra-Tumoral Heterogeneity Of Breast Cancer Using Single-Cell Multi-Omics, Yun Yan

Dissertations and Theses (Open Access)

Breast cancer is a highly heterogeneous disease characterized by diverse genetic, transcriptional, and epigenetic landscapes. Understanding how intra-tumoral heterogeneity (ITH) influences therapeutic response and drives tumor evolution remains a central challenge in cancer biology. Here, we leverage single-cell multi-omics technologies to dissect the cell states and gene expression programs underlying breast cancer heterogeneity, with a focus on triple-negative breast cancer (TNBC) and estrogen receptor-positive (ER+) breast cancer.

In the first part, we applied single-cell RNA sequencing and spatial transcriptomics to profile over 400,000 cells from 101 treatment-naïve TNBC patients. We identified 4 archetypes at the patient level and 13 metaprograms …

Use Of The Protein Misfolding Cyclic Amplification For Food Safety And Drug Discovery, Maria R. Benavente Garcia-Huidobro

Dissertations and Theses (Open Access)

Prion diseases are fatal neurodegenerative disorders caused by the misfolding of the normal prion protein (PrP^C) into its infectious form (PrP^Sc). While the zoonotic potential of chronic wasting disease (CWD) remains uncertain, the presence of prions in food products raises public health concerns. Additionally, therapeutic strategies for prion diseases remain limited. This thesis presents a methodological exploration of the Protein Misfolding Cyclic Amplification (PMCA) technique to address these challenges in two key areas: (1) detecting CWD prions in processed meats subjected to common cooking procedures, and (2) identifying potential anti-prion compounds through a high-throughput PMCA adaptation. …

Facilitating The Clinical Translation Of Flash Radiotherapy Through Dosimetry Development And Beam Parameter Optimization, Kevin Liu

Dissertations and Theses (Open Access)

Advisory Professor: Emil Schüler, PhD

Radiation therapy (RT) is a crucial component of curative cancer therapy, with a majority of cancer patients in the United States receiving RT as part of treatment. The goal of RT is to maximize the therapeutic index in curing disease while minimizing any associated normal-tissue complications¹. Recently, ultra-high dose-rate (UHDR) RT (mean dose rates ≥40 Gy/s for a total duration of ≤200 ms) has been reported to selectively spare normal tissues and organs while maintaining an isoeffective tumoricidal effect compared to conventional (CONV) dose rate RT in a variety of in vivo preclinical …

Predicting Genetic Interactions Using Functional Interaction Networks, Iulia Veronica Gheorghe

Dissertations and Theses (Open Access)

Mapping genetic interactions is central to understanding cellular systems and identifying therapeutic vulnerabilities, particularly in the context of cancer. Among these interactions, synthetic lethality, where simultaneous loss of two genes is lethal but loss of either alone is tolerated, offers a powerful framework for selectively targeting tumor-specific dependencies. In model organisms like S. cerevisiae, comprehensive double-knockout screens have revealed detailed genetic interaction maps, enabling systems-level insights into pathway structure, gene function, and cellular organization. Replicating this achievement in human cells, however, is complicated by the scale and complexity of the human genome. Recent advances in genome-wide CRISPR knockout screening have …

Structural Functional Investigation Of Hap40, Amanda M. Solbach

Dissertations and Theses (Open Access)

STRUCTURAL FUNCTIONAL INVESTIGATION OF HAP40

Amanda Marie Solbach

Dissertation Advisor: Sheng Zhang, Ph.D.

Huntington’s disease (HD) is a devastating neurodegenerative disorder caused by an expanded CAG trinucleotide repeat in the Huntingtin (HTT) gene, resulting in a mutant huntingtin (mHTT) protein with an elongated polyglutamine tract. While the genetic basis of HD is well established, the mechanisms underlying mHTT toxicity and its impact on cellular function remain incompletely understood. Recent discoveries implicate Huntingtin-associated protein 40 (HAP40) as a critical regulator of HTT stability and intracellular function. However, the physiological and pathological significance of this interaction has not been fully explored.

This …

Modeling Renal Anomalies Associated With Li-Fraumeni Patients: A Novel Role For P53 In Kidney Development, Alejandra Davilavaladez

Dissertations and Theses (Open Access)

Li-Fraumeni syndrome (LFS) is a heritable disorder caused by germline mutations in the TP53 gene that result in an increased risk of cancer. The TP53 tumor suppressor gene regulates cell division and prevents the accumulation of cells that may become cancerous. LFS patients are susceptible to various types of cancers, including osteosarcoma, soft tissue sarcoma, acute leukemia, and adrenal cortical tumors, as well as breast and brain cancer. Additionally, these patients have an increased risk of developing kidney, stomach, colon, pancreas, esophagus, lung, and gonadal germ cell cancers. Prior studies indicate that p53 is involved in kidney development. However, there …

Long-Chain Fatty Acids Promote Candida Albicans Gut Colonization By Restructuring The Fungal Cell Surface, Musfirat Shubaita

Dissertations and Theses (Open Access)

Long-chain fatty acids promote Candida albicans gut colonization by restructuring the fungal cell surface

Musfirat Shubaita, BS

Advisory Professor: J. Christian Perez, Ph.D.

The yeast Candida albicans is a facultative anaerobe residing in the human digestive tract. Although fungal genetic determinants of mammalian host colonization have been identified, little is known about signals and molecules in the intestinal environment that influence C. albicans proliferation. Previously unpublished data from the Perez lab showed that oleic acid, one of the most abundant long-chain fatty acids in nature, promotes C. albicans colonization of the murine intestine. The goal of this research is to …

Microbial Metabolite Regulation Of Microglial Ahr Signaling In Alzheimer’S Disease, Ghalya E. Alrousan

Dissertations and Theses (Open Access)

Introduction: Alzheimer’s disease (AD) is a progressive neurodegenerative disorder characterized by amyloid-β plaque accumulation, neuroinflammation, and cognitive decline. Recent evidence suggests that systemic factors, particularly the gut microbiota and its metabolites, play a significant role in shaping brain immune responses, including microglial activation. However, the mechanisms linking gut dysbiosis to microglial dysfunction in AD are poorly understood. The aryl hydrocarbon receptor (AHR), a ligand-activated transcription factor responsive to tryptophan metabolites, has recently gained attention as a key regulator of neuroinflammation and microglial function. I hypothesize that the loss of beneficial microbial AHR ligands, specifically indole derivatives, during aging and AD …

The Effects Of A Tier 2 Intervention On The Behavior Of Elementary School Students Participating In Second Step: Enhancing A Schoolwide Social-Emotional Learning Curriculum, Charlotte Annalee Kennington

Theses and Dissertations

After reviewing the current research literature on the effects of social-emotional learning (SEL) on the behavior of elementary-age children, it was clear that there was limited research data on the effects of Tier 2 interventions designed to augment the effects of schoolwide SEL programs. Specifically, to what extent could a brief, group-delivered intervention improve the academic engagement, problem behavior, and socially appropriate comments of fifth-grade students receiving schoolwide SEL through Second Step in a traditional public school? Three fifth-grade students were recruited to participate in this study who all engaged in frequent problem behavior during Second Step lessons and throughout …

Internal Funding Newsletter, Academic Year 2024-2025, Office Of Research And Creative Activity, University Of Nebraska At Omaha

Internal Funding Newsletters

The University of Nebraska at Omaha is committed to educating people of the world and the Office of Research and Creative Activity is proud to contribute to UNO?s exceptional education, groundbreaking research, and the life-long success of students and alumni. UNO innovates for the public good through pragmatic and impactful research and discovery. This year's programs provided over $750,000 in awards for students and faculty. These projects included recording a new album of music for a saxophone, flute, and piano trio, understanding college campus bicycle theft, studying student perceptions of the difficulty of organic chemistry concepts, evaluating a therapy program …

Revolutionizing Digital Privacy Education For Older Adults: Enhanced Interventions And Ai-Assisted Learning Strategies, Heba Aly

All Dissertations

As older adults increasingly engage with digital platforms, they face unique privacy risks stemming from limited digital literacy, reduced trust in AI technologies, and constrained access—especially in rural or underserved communities. While digital tools offer benefits like social connection and information access, current privacy education efforts often neglect the needs of older adults. This dissertation addresses this gap by developing, testing, and refining digital privacy education interventions tailored for older adults, with a focus on trust, personalization, and AI-assisted learning.

Study 1 evaluates multiple instructional modalities across age groups, revealing older adults prefer structured videos and interactive tutorials, while younger …

A Study On The Propagation And Exploitation Of Structured Light In Underwater Turbulence, Jaxon P. Wiley

All Dissertations

The development and optimization of optical systems will play a pivotal role in the continued exploration and exploitation of the world’s underwater environments. These systems offer advantages in many sectors, and includes applications in areas such as high-speed communication, advanced sensing and imaging, and environmental characterization and monitoring. Underwater environments offer a plethora of challenges, however, and mitigating these obstacles remains an arduous task. In this work, the inherent advantages of structured light are leveraged to optimize optical system performance through non-ideal underwater conditions. Additionally, fundamental relationships between the generation of specified structured modes and their interactions with complex environments …

Multiple View Neural Regression Of A Facial Shape Model, Xiang Li

All Dissertations

Creating re-topologized 3D facial meshes is a critical step in high-quality facial animation pipelines, yet it remains a labor-intensive and time-consuming task. Traditional approaches typically rely on multiview stereo reconstruction and specialized photometric environments to acquire accurate geometric and reflectance data under controlled conditions. This dissertation presents work toward more efficient capture of production-ready meshes including (1) developmental aspects of VarIS, a custom-designed light sphere capable of capturing high-resolution stereo geometry and reflectance maps—including diffuse, specular, and normal components under programmable illumination; (2) a study of the effects of camera parameters on automatic 2D and 3D landmarking methods, (3) methods …

Designing Multilingual (Maker) Spaces: Exploring The Intersections Of Play, Posthumanism, And Pre-Kindergarten, Victoria G. Pennington

All Dissertations

In this dissertation, I explore the posthuman play literacies of multilingual makerspaces with four-year-olds, emphasizing the need for such a study while situating my arguments within the existing literature and outlining my methodological approach. Chapter One critiques the public 4-year-old kindergarten systems, arguing institutionalized cultural and linguistic ideologies restrict multilingual learners’ (MLs) opportunities for meaning-making. I draw on the raciolinguistic perspective (Flores & Rosa, 2015) and its intersection with a posthumanist paradigm (Braidotti, 2013), framing my research questions as lines of inquiry to guide the study. Key posthumanist literacies concepts are defined, highlighting the entanglement of literacies, discourses, materials, and …

More Than Numbers: Interrogating The Instructional Capacity Of Middle School Mathematics Teachers, Yashica R. Latimer

All Dissertations

This study examines how middle school mathematics teachers conceptualize and enact culturally responsive mathematics teaching (CRMT) within a district-supported professional learning initiative. Guided by the CRMT framework developed by Aguirre and Zavala (2013), the research explores how instructional decision-making intersects with equity-focused pedagogy.

Two central questions inform the study: (1) How do middle school mathematics teachers interpret and apply CRMT principles in their classroom practice? (2) What specific instructional strategies do teachers use to integrate cultural responsiveness into their instruction?

Using a qualitative multiple-case study design, data were collected from three teachers participating in a professional learning group called MORE …

Exploring The Effects Of Remote Work On Leadership Pipelines: With A Focus On Professional Women And Minorities, Mark S. Andrekovich

All Dissertations

I analyzed data from five U.S.-based companies to understand how remote work models affect leadership advancement. Using Role Congruity, Status Characteristics, and Intersectionality theories, I analyzed five hypotheses about the impact of remote work on leadership pipelines. Two of the five hypotheses were supported, revealing bias patterns rather than issues related to remote work. For instance, white employees had greater access to remote work opportunities than non-white employees, who had fewer promotions despite similar performance scores. Contrary to expectations, I found that remote work does not inherently affect promotional advancements. Via a post hoc analysis, I found that hybrid professionals …

Accurate Temporal Integration Schemes For Nonlinear Adsorption Problems, Evan D. Butterworth

All Dissertations

We consider a nonlinear transport problem to model the chromatography process of high-capacity multimodal membranes. Robust and efficient algorithms that simulate these bioseparation processes are critical to developing therapeutics for various chronic illnesses and infectious diseases. However, much of the current methodology focuses on stabilization and linearization techniques, often implementing low-order time-discretizations and linearized adsorption, resulting in inefficiencies and inaccuracies in the numerical solution. Utilizing Rothe's method, we develop various time-discretization schemes coupled with the finite element method to solve the fully implicit problems. Stability and solvability results are presented for several methods. Through multiple high-level software implementations paired with …

Towards Securing Ai Systems: Investigating Threats In Multimodal Autonomous Driving & Rag Systems, Saket Sanjeev Chaturvedi

All Dissertations

Artificial Intelligence (AI) systems have become central to high-stakes applications such as autonomous driving and language-based decision support. As their deployment accelerates, ensuring the security and trustworthiness of these systems becomes paramount. Among the most stealthy and potent threats are backdoor attacks, where models behave as expected under normal conditions but exhibit malicious behavior when triggered by specific inputs, either digital or physical.

This thesis investigates novel backdoor and adversarial vulnerabilities across two emerging classes of AI architectures: (1) multimodal 3D object detection systems that fuse LiDAR and camera data, and (2) Retrieval-Augmented Generation (RAG) systems that pair large language …

Exploring Teacher Decision-Making Based On 4k Children’S Emotional Observations And Narratives: A Multiple Case Study, Keith Johnston

All Dissertations

The benefits of quality social-emotional instruction in early childhood programs are well established. The crux of delivering these benefits lies in teacher social-emotional decision-making in early childhood classrooms. While there is scant research on the topic, there is evidence that decentralizing social-emotional decision-making can help teachers achieve better outcomes by including families and other early childhood professionals, using data to inform decisions, and reviewing research. The current study is a multi-case qualitative analysis of two 4K teachers from a child development center in the South Carolina Upstate. It describes how the two subjects use social-emotional decision-making to support their students’ …

Constructing Code-Based Zero-Knowledge Proofs Leveraging Generic Errors And Bounded Vectors, Freeman Slaughter

All Dissertations

Quantum computing is developing at an expeditious rate, and once fully scalable quantum computers become realized, classical cryptographic systems face obsolescence. This approaching peril has prompted a paradigm shift away from pre-quantum cryptography and towards post-quantum primitives, such as those that arise from the field of coding theory. Among these, zero-knowledge proofs have emerged as a dynamic tool instrumental in constructing quantum-resilient digital signature schemes.

We being by introducing HammR, a pre-quantum zero-knowledge proof protocol designed to verify Hamming weight and entry constraints of error vectors, and comprehensively establish its security. Subsequently, we extend HammR to the multi-party computation setting, …

Teacher Efficacy In Reading Intervention: The Role Of Coaching And Professional Development In Foundational Literacy, Susan S. Chapman

All Dissertations

This Dissertation in Practice utilized improvement science methods to increase teacher self-efficacy in foundational reading practices and to address the oral reading fluency (ORF) challenges of elementary students who consistently score below proficiency. Rooted in Bandura’s theory of self-efficacy and the Active View of Reading, the study aimed to build teacher confidence in delivering foundational reading instruction while improving student ORF rates. A Plan-Do-Study-Act (PDSA) cycle was implemented with second-grade teachers and targeted the following aim: increase ORF by 12 words correct per minute (wcpm) for students receiving Tier 3 intervention over an eight-week cycle. Coaching, using the student-centered coaching …

Online Multiobjective Optimization, Kristen Joyce

All Dissertations

Online optimization (OO) is an iterative process of decision making under uncertainty. At every step, a decision is made before the outcome of this decision is known. For the online optimization model, the objective function is unknown at the time the decision is being made. It is very likely that the taken decision is not optimal, so the decision maker incurs a loss, called regret, in every iteration. The goal of the online optimization algorithm is to compute a decision at every step so that the overall regret cost is minimized. In particular, the average regret produced by an ideal …