Digital Commons Network^™

Hearing All The Colors: Stories Of Engagement From Teachers' Perspectives, Carolyn Allison

Theses and Dissertations

This qualitative case study documented four high school English II End of Course teachers' stories about student engagement in the classroom. Students of color, in particular, have been maligned for underperformance on state-mandated tests. Instead of focusing on the despairing headlines and data, this study focused on how teachers follow the state standards and district curriculum guides to increase success. The teachers' authentic voices on student engagement shine through their stories. Student engagement is not a one-size-fits-all scenario which these teachers prove.

The teachers' stories served as the data for this study. The data was viewed through the lens of …

Apathy Or Agency: Exploring Civic Engagement With Ap Psychology Students, Regina Dilley

Theses and Dissertations

Sensing my high school students’ apathy toward civic engagement, I used a community of inquiry framework to address this problem of practice. Through mixed-methods action research, I explored participants’ perspectives on community, civic engagement, and their involvement in both spheres. A community of inquiry framework was the foundation for my research questions, and as I collected data, I launched an intervention based upon my findings. Although the results of this study were not statistically significant and are not generalizable, I collected a wealth of survey, interview, and reflection data from 48 students across two classes. Analysis grounded in my observations …

A Neuro-Symbolic Ai Approach To Scene Understanding In Autonomous Systems, Ruwan Tharanga Wickramarachchige Don

Theses and Dissertations

Effectively understanding scenes requires a unified representation of scene data and background knowledge. A neuro-symbolic AI approach to scene understanding leverages such a unified representation to enable advanced expression, inference, and labeling of scenes, improving the perception of autonomous systems.

Scene understanding remains a central challenge in the machine perception of autonomous systems. It requires the integration of multiple sources of information, background knowledge, and heterogeneous sensor data to perceive, interpret, and reason about both physical and semantic aspects of dynamic environments. Current approaches to scene understanding primarily rely on computer vision and deep learning models that operate directly on …

Expenditures Of Title I Funds To Maximize Student Performance, Cornethia Danielle Pressley

Electronic Theses and Dissertations

This mixed methods case study investigates how Title I funds are allocated and perceived in relation to student achievement in six rural elementary schools in the southeastern United States. Drawing on the Distributive Justice Theory by John Rawls, the study explored the perspectives of three principals and three instructional coaches regarding the effectiveness of Title I expenditures in improving outcomes for economically disadvantaged students. Quantitative data from school report cards (2019-2023), Title I expenditure plans, and SC-Ready English Language Arts assessment scores were analyzed alongside qualitative data from semi-structured interviews about the expenditures.

Findings revealed that expenditures most strongly associated …

2025 July - Tennessee Monthly Climate Report, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Monthly Reports

Hi All,

The main story for July was the high heat and humidity that spread across the state for the second half of the month. Most counties in the state saw at least 1 day with a heat advisory or extreme heat warning issued by the National Weather Service due to a combination of high temperatures and humidity that sent heat index values above advisory/warning criteria. The western half of the state saw higher heat index values and were impacted by the heat wave for a longer period of time than the eastern half of the state. Some part of …

Graph Convolutional Networks Enable Fast Hemorrhagic Stroke Monitoring With Electrical Impedance Tomography, J. Toivanen, V. Kolehmainen, A. Paldanius, A. Hänninen, A. Hauptmann, Sarah J. Hamilton

Mathematical and Statistical Science Faculty Research and Publications

Objective: To develop a fast image reconstruction method for stroke monitoring with electrical impedance tomography with image quality comparable to computationally expensive nonlinear model-based methods. Methods: A post-processing approach with graph convolutional networks is employed. Utilizing the flexibility of the graph setting, a graph U-net is trained on linear difference reconstructions from 2D simulated stroke data and applied to fully 3D images from realistic simulated and experimental data. An additional network, trained on 3D vs. 2D images, is also considered for comparison. Results: Post-processing the linear difference reconstructions through the graph U-net significantly improved the image quality, resulting in images …

Advanced Study Of Nickel-Titanium Alloy: Effects Of Point Defects On Mechanical And Thermodynamic Properties, Diego Armando Juarez Rosales

Open Access Theses & Dissertations

High-throughput first-principles calculations of point defects are emerging as a powerful tool to accelerate materials discovery in applications [1]. Substitutional, antisite, and vacancy defects can play an important role in the mechanical and thermal properties of intermetallic alloys [2]. In this present work I compute the thermal and mechanical properties of shape-memory alloy nickel-titaniun (NiTi) in the B19â?? martensitic and B2 austenitic phases from molecular dynamics (MD), using a second nearest neighbor (2NN) modified embedded atom method (MEAM) [3] classical potential in the temperature range from 200K to 600K and composition range from 45 atomic percent to 55 atomic percent …

Sepsis: I Can Catch Your Lies – A New Paradigm For Deception Detection, Anku Rani, Dwip Dalal, Shreya Gautam, Pankaj Gupta, Vinija Jain, Aman Chadha, Amitava Das, Amit P. Sheth

Publications

Deception is the intentional practice of twisting information. It is a nuanced societal practice deeply intertwined with human societal evolution, characterized by a multitude of facets. This research explores the problem of deception through the lens of psychology, employing a framework that categorizes deception into three forms: lies of omission, lies of commission, and lies of influence. The primary focus of this study is specifically on investigating only lies of omission. We propose a novel framework for deception detection leveraging NLP techniques. We curated an annotated dataset of 876,784 samples by amalgamating a popular large-scale fake news dataset and scraped …

Future-Proofing Careers: Unlocking The Potential Of Ai-Driven Digital Badges, Harika Rao

Faculty and Staff Publications & Presentations

This poster explores the transformative role of AI-driven digital badges and microcredentials in addressing the urgent need for adaptable, workforce-ready graduates in an era of rapid technological change. By offering personalized, stackable, and industry-aligned credentials, higher education institutions can empower learners with just-in-time skills that traditional degree programs often fail to provide. This poster highlights how AI can support granular competency assessment, flexible online delivery, and lifelong learning pathways, enabling students to showcase evidence of skill mastery in ways that are both affordable and scalable.

Advances In Noninvasive Imaging For Detecting Radiation-Induced Lung Injury (Rili), Austen Nissen, Said H. Audi, Anne V. Clough, Brian Fish, Amit Joshi, Meetha Medhora, Jason Walter Sidabras, Heather A. Himburg

Biomedical Engineering Faculty Research and Publications

Purpose: Dr. Richard Hill performed pioneering work in the field of radiation-induced normal tissue injury to the lung including noninvasive imaging studies aimed at identifying imaging biomarkers of radiation-induced lung injury (RILI). RILI is a life-threatening toxicity of radiation exposure relevant to both cancer patients undergoing thoracic radiation therapy (RT) and victims of accidental radiation exposure. The ability to detect RILI noninvasively has the potential to guide treatment planning for RT and, in the case of victims of acute radiation exposures, inform the decision to start mitigative therapies. As part of this special issue of IJRB honoring Dr. Hill’s many …

Non-Traditional Socio-Environmental And Geospatial Determinants Of Alzheimer's Disease-Related Dementia Mortality, Skanda Moorthy, Jean-Eudes Dazard, Zhuo Chen, Ruby Charak, Shruthika Palanivel, Salil Deo, Sadeer G. Al-Kindi, Sanjay Rajagopalan

Psychological Science Faculty Publications

Importance

Design

Worldline Modeling Of Ultra-Intense Lasers For N-Photon Scattering Processes, I. Ahumada, P. Copinger, J. P. Edwards, K. Rajeev

School of Engineering, Computing and Mathematics

The modeling of present and future ultra-intense lasers demands techniques that go beyond the standard diagrammatic approach to non-perturbatively fully capture the effects of strong fields. We illustrate the first-quantized path integral representation for strong-field quantum electrodynamics as a means of accessing the laser being treated as a background field, which is treated without recourse to perturbation theory. We examine an all-multiplicity construction for N-photon scattering processes for complex scalars and spinors, showing compact Master Formulae for tree-level scattering. Several background fields are considered, including plane waves, impulsive parallel propagation waves, non-null fields, and homogeneous fields (constant-crossed fields) with low-energy …

Sph Simulation Of Isothermal Sloshing In A Circular Tank: A Ccp-Wsi Blind Test Study, Jiaxin Chen, Yong Yang, Martyn Hann, Robert Rawlinson-Smith, Munira Raji, Deborah Greaves

School of Engineering, Computing and Mathematics

This study delves into the complex sloshing dynamics in a circular tank, a critical challenge for applications like aerospace and marine systems, as part of the CCP-WSI Blind Test Series 5. Leveraging the GPU-accelerated SPH-based DualSPHysics code, we uncover unique resonant and nonlinear wave behaviours under horizontal and vertical excitations. Key findings include significant free-surface amplifications and symmetry-breaking effects at resonance. Sensitivity analysis of dimensionality, viscosity, and resolution highlighted SPH's adaptability for highly nonlinear flows, establishing it as a powerful tool for tackling intricate fluid-structure interactions.

Being And Becoming In The Algorithmic Age, Bernard E. Harcourt

Faculty Scholarship

To change the world: the prerequisite, most often, is to change our experience of the world, to experience the world differently, to be shaken to our foundations, to have one’s sense of self shattered. That is a process of both being and becoming. In order to turn that process in our favour, in this age of artificial intelligence, it will be crucial to transform data and algorithms into bits of justice.

An Efficient Detection And Deep Clustering Based Pipeline For Reliable Rodent Ultrasonic Vocalization Analysis, Sabah S. Anis

Theses and Dissertations

Ultrasonic vocalizations (USVs) are critical for understanding rodents' emotional states and social behaviors. However, manual analysis of USVs is time-consuming, subjective, and prone to errors. This thesis presents an automated pipeline that addresses these challenges by performing efficient USV detection and clustering. The proposed approach significantly reduces the time and effort needed to analyze USV data while improving accuracy and reproducibility.

To address this gap, we introduce ContourUSV, a five-step pipeline for USV detection. First, it begins with generating spectrograms from audio recordings, which are then pre-processed to enhance the contrast between USVs and background noise. Key steps include median …

Post-Selection Inference In Regression Models, Qinyan Shen

Theses and Dissertations

This dissertation develops new methodology for valid statistical inference following model selection in various regression settings. We first consider the logistic regression model for a binary response that can only be observed at the group level, as in group testing, and is subject to testing error. With the true responses only partially observed, we employ the expectation-maximization (EM) algorithm to account for missing information in the response data and simultaneously conduct variable selection using the LASSO-penalized log-likelihood function. After variable selection, we extend an existing post-selection inference method based on the polyhedral lemma \parencite{lee2016exact} to make inferences on selected covariates, …

Methods And Applications For Bayesian Semiparametric Survival Analysis, Zile Zhao

Theses and Dissertations

Survival analysis is a cornerstone of biomedical and clinical research and plays an important role in fields as diverse as engineering, actuarial science, and sociology. In this dissertation, we develop new semiparametric Bayesian methodology for three problems from survival analysis: 1) adjustment for treatment crossover in randomized controlled trials (RCTs), 2) multilevel modeling of clustered survival outcomes when the cluster size is also informative, and 3) divide-and-conquer Bayesian inference for massive survival data. Our methods are semiparametric in the sense that we assume the covariates have a linear effect with regard to the log-hazard or the log- survival time; however, …

Quinone-Mediated Extracellular Electron Transfer In Escherichia Coli During Glucose Oxidation Metabolism, Megan Danielle Whisonant

Theses and Dissertations

The growing global demand for energy, ongoing reliance on fossil fuels, and increasing water pollution from industrial and anthropogenic sources present significant environmental challenges. In response to these issues, renewable and sustainable energy sources offer substantial potential for reducing dependence on fossil fuels and ensuring access to clean water. Microbial electrochemical systems (MESs) have emerged as promising, eco-friendly solutions for energy-efficient wastewater treatment and bioremediation. A key challenge in MESs development is facilitating effective electron transfer between microorganisms and electrode surfaces. The first chapter of this thesis discusses the fundamentals of MES types, explains mechanisms of extracellular electron transfer, and …

Action Research Integrating Heggerty’S Phonemic Awareness Instruction For Transfer Into Third-Grade Writing, Jennifer Elizabeth Jones

Theses and Dissertations

Writing requires the ability to encode phonemes to separate sounds to spell. Students who are mystified by print often find writing a laborious task. This action research investigated the impact of Heggerty's Bridge the Gap phonological instruction on third grade writing development, specifically focusing on elaboration. Recognizing that strong phonological foundations are crucial for both reading and writing success, this study addressed the gap in phonological instruction found in upper elementary grades. The research questions guided the research: What is the impact of phonological awareness instruction on third-grade students’ elaboration domain in writing? 2.) What are the third-grade students' perceptions …

The Potential Importance Of Microenvironment On Polymer Bound Chemical Reagents, Nathan Joseph Halsteter

Theses and Dissertations

In this thesis will provide a brief history of polymer bound reagents, their uses, and advancements. The importance of polymer microenvironments will be explored using a model kinetic resolution reaction utilizing polymer bound reagents to observe how changes in a polymer’s microenvironment effects the yield and selectivity of a reaction. It was found that there are copious factors that affect polymer bound reagents, and no direct conclusion could be drawn from the study.

Reactivity Of Redox-Active Carboranyl Diphosphines And Carboranyl Diphosphoniums: Metal-Free Pathways For Small Molecule Activations And Transformations, Amanda Lynn Humphries

Theses and Dissertations

Transition metal catalysis has been an integral part of synthetic chemistry for its ability to selectively activate strong substrate bonds, promoting numerous crucial transformations. Despite their utility, the precious metals that are often employed in these catalytic reactions suffer from several drawbacks (including high toxicity, low natural abundance, high costs, and low sustainability), increasing the motivation to design suitable metal-free alternatives. Towards this end, several ambiphilic main-group systems have been devised to show metal-like reactivity, such as carbenes, borylenes, and Frustrated Lewis Pairs. This manuscript will describe the ambiphilic reactivity of carborane-based phosphorus compounds, highlighting the unique metallomimetic reactivity that …

Characterizing Dissolved Organic Matter Composition In A Southeastern United States Watershed, Gwendolyn Marcelette Hopper

Theses and Dissertations

Dissolved organic matter (DOM) has important roles in many biogeochemical cycles. DOM is primarily composed of dissolved organic carbon (DOC), nitrogen, and phosphorus, and the processing of DOM is important for nutrient regulation and carbon cycling. In the coastal plains of the southeastern United States, there are many rivers and streams known as “blackwaters” with exceptionally high concentrations of chromophoric dissolved organic matter (CDOM) leached from terrestrial soils, coinciding with a region experiencing some of the nation’s highest rates of development. As changes in land use and climate continue to occur, DOM composition from natural to anthropogenically impacted systems can …

Determination Of Structure-Function Relationships In Hybrid Catalysts On Metal Oxide Supports, Joseph John Kuchta

Theses and Dissertations

Transition metal catalysis has revolutionized chemical synthesis, enabling efficient and selective transformations critical to the pharmaceutical, agricultural, and materials industries. However, traditional methods often rely on expensive, non-sustainable metals and harsh reaction conditions that generate significant waste. This dissertation explores a series of innovations aimed at bridging the gap between homogeneous and heterogeneous catalysis through the development of hybrid catalysts. These systems combine the molecular precision of homogeneous catalysts with the stability and practicality of heterogeneous supports, offering a pathway to more sustainable and scalable catalytic processes.

The first area of focus investigates nickel-based hybrid catalysts as a cost-effective and …

‘If You Design For The Future To Treat Of Witches:' Diabolic Service Magicians, Astrologers, And Witchcraft In John Dunton's Athenian Mercury, 1690-1697, Lauren Rebecca Rowe

Theses and Dissertations

Originating in the print stands of seventeenth-century London, the Athenian Mercury enjoyed a nearly miraculous seven-year run time as the most well-known and successful anonymous question and answer periodical of its time. Conceptualized and produced by bookseller John Dunton, the Mercury existed as an interface for intellectual discourse readily accessible to men and women. Kept entirely anonymous on the part of the author and reader, the intellectually curious could write questions to the Mercury and receive answers in turn on a vast variety of subjects twice a week. Aside from the more expected queries on science, love, mathematics, and religion, …

A Study Of Ci3t Implementation: Middle School Ela Teachers' Perceptions Of Tier 1 Academic Practices On Student Performance, Martha Kathryn Jenkinson

Theses and Dissertations

The purpose of this mixed methods action research study was to understand teachers’ perceptions of Ci3T tier 1 academic practices following the first year of implementation. Tier 1 instruction, delivered primarily by classroom teachers, is meant to meet the needs of a majority of students. Understanding teachers’ perceptions of program implementation, as well as reviewing student data to seek impacts of Ci3T on student learning, are important considerations when deciding how to improve the system. This study focused on the experiences and perceptions of English Language Arts teachers and Special Education teachers who work in ELA classes.

Data were gathered …

Hardware Accelerated Simulation Of Buck Converters Using Physics-Informed Neural Networks, James Clayton Crews

Theses and Dissertations

Physics-informed neural networks (PINNs) are an emerging machine learning method for learning the behavior of physical systems described by governing differential equations. Dc-dc power-electronic converters are used in a variety of industry applications such as motor drives or power supplies where real-time simulation is critical for control and safety. This thesis investigates physics-informed machine learning as an approach to develop a real-time digital twin for dc-dc power converters. Traditional numerical integration methods are used to approximate discretized behavior, and the results are compared with a trained PINN model. Modern ML frameworks (such as PyTorch and TensorFlow/Keras) are used to quickly …

The Impact Of Social Emotional Learning (Sel) Lessons On Students’ Mental Health Surrounding Standardized Testing, Margaret Denning

Theses and Dissertations

This qualitative action research examined the emotional impacts of standardized testing on 4th and 5th graders and the effects of targeted social-emotional learning lessons in a Title 1 school. Pre- and post-intervention data were gathered through surveys (Children’s Test Anxiety Scale) and focus group interviews. By employing thematic and narrative analysis, findings revealed significant initial cognitive anxiety, physical symptoms, and difficulties in self-regulation. Following the SEL intervention, the data indicated that students exhibited improved emotional resilience, reduced anxiety symptoms, and enhanced coping skills. Although the SEL interventions enhanced overall emotional well-being, anxiety was not fully eliminated. This study highlights the …

Explorations In Extremal Combinatorics: Graph Spectra, Codegree Squared Sum Of Hypergraphs And Lin-Lu-Yau Ricci Curvature, George Henry Brooks

Theses and Dissertations

This dissertation explores a variety of extremal problems in spectral graph theory, hypergraph Tur\'an theory in the $\ell_2$-norm, and Lin-Lu-Yau Ricci curvature. We begin by studying the maximization of linear combinations of eigenvalues in relation to the adjacency matrix of a graph. For a graph $G$ on $n$ vertices, we order its eigenvalues $\lambda_1 \geq \dots \geq \lambda_n$. First, we study a generalization of the maximum spread. Specifically, we consider the $(i,j)$-spread, defined as $\lambda_{i+1}-\lambda_{n-j}$, and aim to maximize that quantity over all simple graphs on $n$ vertices. We establish asymptotic bounds for all $i,j\geq 0$ and identify infinitely many …

Developing Mathematical Thinking And Reasoning For Students With Disabilities Through Professional Learning Communities, Dawn Pilotti

Theses and Dissertations

Professional learning communities (PLCs) are designed to improve learning outcomes for all students through educator collaboration. Guided by systems theory and supported by social cognitive, social practice and change theories, this longitudinal participatory action research study explored the development of an interdepartmental PLC, and its impact on mathematics teachers’ practices and students’ performance. Additionally, this study explored the relationship between participation in the PLC and participants’ collective efficacy. The study was conducted at a school for students with learning disabilities. The PLC included Grade 5 and Grade 6 mathematics teachers, occupational therapists, speech and language pathologists, a mathematics specialist, reading …

Mo Isotopes In The Aleutian And Costa Rican Arcs: Source Variability And Juvenile Crust Formation, Ekaterina Rojas Kolomiets

Theses and Dissertations

Chemical and physical transfer between the surface, lithosphere and asthenosphere at subduction zones leads to arc magmatism and continental crust (CC) production. Subduction zones magmas and associated volcanic products sample a variety of magmatic sources that contribute to their chemical compositions in various proportions. This dissertation contributes to the study of subduction zones magmatism by assessing the relative role of subduction inputs (sediments, altered oceanic crust – AOC – and serpentinite) as flux agents in the arc magmatism and in CC formation in subduction zones under the scope of Mo isotope systematics.

I present the first Mo isotope analyses form …