Digital Commons Network^™

Mutual Coupling Reduction Techniques In Transverse-Electric-Mode And Hybrid-Mode Microstrip Patch Antenna Arrays, Matthew A. Adams

Dissertations

When the elements of an antenna array are closely spaced, the electromagnetic coupling between them can distort the radiation patterns of the individual elements and change their input impedances, causing significant degradation in the array’s performance. Numerous mutual coupling reduction methods exist in the current literature, each of which allows array elements to be closely spaced while being well-isolated from each other. This dissertation investigates mutual coupling reduction techniques for microstrip patch antenna arrays utilizing elements that excite the fundamental transverse electric (TE) mode. First, a mutual coupling reduction method inspired by the TE-mode microstrip patch cavity model is proposed …

Developing The Leadership Competency Of Critical Thinking In College Students: A Quasi-Experimental Mixed Methods Study At A Small Christian College, Norberto Restrepo

Dissertations

Our world of constant change and complex challenges requires citizens who know how to exercise higher-order thinking skills, and individuals who have developed their metacognitive abilities to a higher extent are better prepared to perform effectively as leaders. This quasi-experimental mixed methods study employed a pre and posttest design to determine whether the critical thinking skills of students at Hartland College could be improved over the course of a one quarter ten week term through the use of biblical worldview instructional approaches such as biblical worldview development, faith learning integration, and deep Bible study that had critical thinking activities embedded …

Relationship Between Financial Literacy And Financial Behavior Among Seventh-Day Adventist Full-Time Pastors In The North American Division Of The Seventh-Day Adventist Church, Edwin G. Romero

Dissertations

Problem

This investigation intended to examine the relationship between the financial literacy components of full-time pastors and their financial behavior components. Many pastors struggle with their finances and often retire unprepared due to having inaccurate or incomplete knowledge of relevant financial information and planning strategies.

Method

This study adopted a quantitative, descriptive, and correlational approach to investigate the financial and demographic characteristics of pastors. The questionnaire completed by participants was the financial literacy questionnaire developed by Stella et al. (2020), which helped measure general financial literacy among full-time pastors, and the Financial Management Behavior Scale (FMBS) developed by Xiao (2008) …

Assessment Of The Level Of Relevancy Of Theological Education In The Chinese Context, Jacky Yeung

Dissertations

Problem

The contextualization of theological education has been a topic of academic discussion for many years with scholars exploring various angles related to this subject. Despite the ongoing need for contextualized theological education, an assessment of its relevancy in the Chinese setting has not been extensively studied. This dissertation aims to fill this research gap by assessing the relevancy of Adventist theological education in China and providing recommendations for improvement.

Method

The study employs a mixed-method approach, combining both quantitative and qualitative research methods to gain a comprehensive understanding of the issue. The quantitative stage involves a survey administered to …

Talk Like An Egyptian: Egyptian Influence And Appropriation In The Book Of Exodus, Dorian W. Alexander

Dissertations

Problem

It is an inarguable truth that ancient Egypt has left a legacy upon world culture. However, the one area of Egyptian influence and legacy that remains to be studied in greater scholarship is the Bible. While many have made observations in effort to detract from and even outrightly refute any Egyptian influence on the Bible, one merely need read through any number of passages in the Bible (particularly the Old Testament) to witness just how large of an imprint is made upon it by ancient Egypt.

Method

Within just the limits of the book of Exodus alone, one finds …

Deciphering The Source Of Escherichia Coli In Urinary Tract Infections: A Comparative Metagenomic Analysis Of The Female Urogenital Microbiome, Alexis Annabel Avalos

Dissertations

In 2019, there was a 140.19% increase in deaths due to urinary tract infections (UTIs) compared to 1990, worldwide. One of the common uropathogens known to associate with UTIs in females is Escherichia coli. The prevailing belief is that E. coli in the bladder originates in the rectum, passing its way from the perineal, to the vagina, and finally into the bladder. Known as the Fecal-Perineal-Urethral (FPU) hypothesis, this “origin story” has been supported by several studies that have relied on genotyping or serotyping isolates collected from the bladder and rectum. Most notably, culturing isolates from samples has been central …

Selecting For Lysis In A Temperate Phage Population, Haley Atkins

Dissertations

The ongoing evolutionary arms race between bacteria and bacteriophages (phages) is a prime example of Red Queen hypothesis, where continuous adaptation drives survival. This study focuses on Escherichia coli-infecting temperate phages, which dominate natural environments and contribute to bacterial resistance mechanisms. Despite their prevalence, temperate phages are less suited for phage therapy due to their lysogenic life cycle, where they integrate into bacterial genomes instead of lysing the host. In contrast, obligately lytic phages, which directly lyse bacterial cells, are ideal for therapeutic use but occur less frequently in nature. This research aims to select for lytic behavior in temperate …

What Makes A Teacher A Teacher: A Philosophical Approach Aligned With Plato, Sojung Kim Hinterkopf

Dissertations

This thesis investigates how contemporary U.S. educational accountability policies—namely No Child Left Behind (NCLB) and Race to the Top (RttT)—redefine the role of teachers through a compliance-oriented lens. Moving beyond logistical and emotional impacts, this study applies Plato’s Allegory of the Cave as a philosophical framework to uncover the intellectual and ethical constraints imposed on educators. Through qualitative document analysis of federal policy texts, three metaphorical themes—shackles, shadows, and enlightenment—emerged to represent how teachers are bound by data-driven mandates, compelled to perform surface-level success, and yet still retain the potential to guide students toward deeper intellectual engagement. The findings reveal …

“What’S Happening In The Gulf Of Maine?”: Middle School Students’ Engagement In Climate Science Through Data Visual Representation And Reflections, Grace Ocular

Dissertations

This study examined how middle school students engaged with science concepts while working with data visualizations during a field trip learning experience. Fifty-one teams of 2–4 students from 35 schools participating in the LabVenture program were video- and audio-recorded. Students completed two activities: one using a frequency table of marine species illustrating threats to Maine’s lobster population, and another using maps depicting changes in Gulf of Maine sea surface temperature. After each activity, students annotated the visualization, discussed their claims, and recorded short reflections. Transcripts were coded for science-related talk, and annotations and gestures were also analyzed. Findings indicate that …

Learning Paradigms For Rhythm Detection And Generation Using Mathematical Models, Biophysical And Artificial Neural Networks, Prianka Bose

Dissertations

Humans possess an inherent ability to recognize evenly-spaced rhythms, known as isochronous rhythms, owing to the brain's predisposition to entrain to external auditory stimuli with regular temporal intervals. The central focus of this research is to understand how the brain learns and retains rhythmic time intervals in the context of music. This dissertation studies rhythm detection and generation through mathematical models, biophysical networks, and artificial neural networks, addressing both isochronous and non-isochronous patterns.

A primary focus of the thesis is on isochronous rhythms. In particular, given a perturbation to an isochronous rhythm such as a tempo change or phase shift …

Pushing The Boundaries Of Large Language Models: Innovations And Limitations In Nlp, Finance, And Mathematics, A M Muntasir Rahman

Dissertations

Large Language Models (LLMs) have emerged as transformative tools across a spectrum of domains, yet their practical deployment reveals a blend of remarkable potential and notable limitations. This research explores innovative methodologies to extend the capabilities of LLMs while addressing critical challenges in their evaluation and application. By leveraging rule-based approaches, the in-context learning capabilities of LLMs, and human-in-the-loop validation across three focused studies, this research introduces robust strategies for dataset synthesis, model enhancement, and model assessment in three distinct domains: natural language processing, financial sentiment analysis, and mathematical reasoning

The first study proposes an efficient data augmentation framework, EASE, …

Game-Based Learning With Augmented Reality, Kantida Nanon

Dissertations

Augmented Reality (AR) technology provides an effective and controllable learning environment, especially for complicated, potentially dangerous, or critical content. Effective implementation of interaction and platforms for educational tools can maximize learner engagement and optimize the learning experience. This dissertation explores the potential of AR technology to enhance learning experiences across multiple platforms and subject areas, particularly within chemistry and mathematics. The dissertation is grounded in the field of Human-Computer Interaction (HCI) and explores the potential of AR to increase learner engagement, improve learning outcomes, and transform traditional pedagogical practices.

The dissertation is divided into two parts. The first part examines …

First-Principles Study Of Ferroelectric Properties And Co2 Reduction Reaction Capabilities In Two-Dimensional Monolayers And Heterostructures, Mo Li

Dissertations

Two-dimensional (2D) materials hold significant potential for CO₂ reduction reactions (CO₂RR) due to their high surface-to-volume ratio. However, achieving high selectivity for desired products and overcoming limitations posed by scaling relationships remain challenging. Recent studies suggest that ferroelectric (FE) materials with switchable out-of-plane polarization (OOP) can effectively tune the adsorption behavior, thermodynamics, and kinetics of CO₂RR, offering promising solutions to these challenges. Using density functional theory (DFT) and the Berry phase approach, this work expands the family of 2D ferroelectrics by theoretically identifying Y₂CO₂, Y₂CS₂, and Sc …

Determination Of Electrochemical Parameters For Predicting Reaction Mechanism And Algorithmic Approaches To Pain Assessment, Huize Xue

Dissertations

This dissertation introduces novel advancements in electrochemical kinetics and pain assessment, structured into two main parts. The first part focuses on the comprehensive analysis of the kinetic and mechanistic aspects of electrochemical reactions, utilizing a combination of experimental techniques and simulation methods. A new software tool, Envismetrics, was developed using Python to facilitate the analysis of complex electrochemical data, including cyclic voltammetry (CV), chronoamperometry (CA), and hydrodynamic voltammetry (HDV). The software was rigorously tested and validated with well-characterized redox systems such as the ferricyanide/ferrocyanide couple, dimethylamine borane (DMAB), and Per- and Polyfluoroalkyl Substances (PFAS). It was successfully used to determine …

Ensemble Learning Models For Large-Scale Time Series Forecasting In Supply Chain, Minjuan Zhang

Dissertations

Machine learning and AI techniques are transforming supply chain forecasting, driven by the expanding availability of data assets. These advanced methods offer powerful opportunities to optimize management processes, reduce operational costs, and enhance strategic decision-making, which is crucial for enterprise success. However, conventional statistical approaches, such as Autoregressive Integrated Moving Average Models (ARIMA), dynamic regression, and Unobserved Component Models (UCMs)—which have long dominated time series forecasting—often fall short in accuracy and scalability. These traditional models face limitations in batch processing, handling large-scale data, addressing uncertainty-induced disruptions, and synchronizing demand-supply scenarios.

To address these challenges, a novel class of AI-powered ensemble …

Machine Learning Methods For Pattern Recognition Analysis Of Genomic And Molecular Data, Kuang Du

Dissertations

While immune therapies achieve remarkable success in treating various cancers, only a subset of patients achieves a durable clinical response, and many exhibit innate or acquired resistance. Precision medicine aims to tailor treatments to individual patients based on specific biological markers, ensuring that each patient receives the therapy most likely to be effective. Predictive biomarkers and gene signatures offer potential for more personalized treatment strategies by identifying patients likely to benefit. Recent studies suggest that gene signatures, comprising sets of genes, hold predictive value for certain clinical variables. Typically derived from biological expert knowledge, these signatures demonstrate substantial predictive potential, …

Knowledge Diffusion In Networks Of Artificial Learners, Ehsan Beikihassan

Dissertations

The dissertation draws inspiration from the topic of peer learning in the social sciences and the study of information dissemination and knowledge diffusion in network science. In particular, it introduces and studies a setting involving a population or network of artificial learners, with the objective of optimizing aggregate performance measures under constraints on training resources. In this context, natural knowledge diffusion processes in networks of interacting artificial learners are studied. The term "natural" refers to processes that emulate human peer learning, where the internal state and learning processes of students remain largely opaque, and the main degree of freedom lies …

Interactive Visualization Workflows For Mitigating Analytical Uncertainty, Kaustav Bhattacharjee

Dissertations

This dissertation takes a process-centric and stakeholder-first perspective for handling analytical uncertainty: the form of uncertainty that confronts data analysts' insight-generation processes in high-consequence decision-making scenarios. The cost of an incorrect decision when data is used for movie recommendations as opposed to when personal data is used to drive insights or when data-driven modeling is used to drive real-time decisions for maintaining the health of a grid are vastly different in terms of consequences. This dissertation looks at analytical uncertainty in two real-world scenarios: i) how sensitive information leakage can be prevented during the open data release process with data …

Visual Analytic Techniques For Interpretable Algorithmic Ranking Systems, Jun Yuan

Dissertations

Rankings have a profound impact on the increasingly data-driven society. From leisurely activities like the movies to watch, the restaurants to patronize; to highly consequential decisions, like making educational and occupational choices or getting hired by companies— these are all driven by sophisticated yet mostly opaque algorithmic rankers. A small change in how these rankers order the data items can have profound consequences, like deterioration of the prestige of a university or a job applicant missing out on being on the list of the top candidates for an organization. These scenarios necessitate data-driven and human-centered innovation to make rankers accessible, …

Crowd-Sourced Learning For Computer Graphics Applications, Yunhao Zhang

Dissertations

Computer Graphics (CG) revolves around virtual content creation using computational methods, spanning applications from games to visual effects. Typically, the creation of CG content is led by expert practitioners who guide computational algorithms towards satisfactory results. Thus, creating CG content often requires manual iterations encompassing algorithm design, parameter tuning, and aesthetic feedback. This work investigates how to leverage crowd-sourcing to streamline such creation processes, focusing on animation and simulation. In animation, a novel crowd-sourcing framework is proposed for combat animation, enabling users to analyze motion similarities, and retrieve matching motions using novel crowd-sourced motion features. Such features enable quantifying previously …

Beyond Average Effects In Education Research Syntheses: Explaining Heterogeneity Of Concept Mapping Research In Science Education Through Meta-Regression Modeling, Aaron Wenger

Dissertations

Contemporary education research seeks causal inferences in order to guide policy and practice. Often well-controlled quasi-experimental and experimental designs are used as they are very useful for supporting and contextualizing causal inferences. Nevertheless, individual studies, even high-quality, resource-intensive randomized controlled trials, are not able to establish generalized claims. Because primary studies vary over dozens of variables (e.g., grade, subject, duration) simply conducting additional primary studies cannot change this. Furthermore, the informal assessments of primary studies common in literature reviews are unable to resolve certain challenges (e.g., publication bias) that are described in the emerging field of meta-research. These challenges require …

A Phenomenological Study To Determine How Expert Avid Teachers Use Collaboration To Strengthen Student Metacognition And Student Self-Efficacy And Determine When It Occurs, Megan Hernandez

Dissertations

Purpose: The purpose of this phenomenological study was to determine how expert AVID teachers from the California Central Valley describe the use of collaboration to strengthen student metacognition and self-efficacy and how they describe the evidence that indicates metacognition and self-efficacy are occurring.

Methodology: Five Central California school districts were chosen to conduct the phenomenological study on expert AVID teachers. One to two AVID teachers from each of the five school districts were chosen in the study for eight participants. The expert AVID teachers were chosen for having at least five years of experience teaching AVID and being up to …

Discovering The Process Of Reasonable Academic Accommodations For Pre-Licensure Nursing Students With Learning Disabilities, Amy Yarbrough

Dissertations

The purpose of this study was to explore the process by which nursing faculty make reasonable academic accommodations for students with learning disabilities in the classroom setting. Nursing students with identified learning disabilities require academic accommodations to facilitate their success. The process of reasonable academic accommodations for nursing students with learning disabilities has not been examined within nursing education literature. Clarification is necessary regarding this process to promote student success and inclusive learning environments within nursing education. Constructivist grounded theory methods as described by Charmaz (2014) guided data collection and analysis. The accommodation processes with categories were identified. The emergent …

Examining Teachers’ Experiences In Fostering Social-Emotional Learning After Returning To In-Person Instruction In The Midst Of The Covid-19 Pandemic, Rosario Grajeda

Dissertations

Purpose: This qualitative phenomenological study examines how middle school teachers in Riverside County, California, support the social-emotional learning (SEL) needs of students as students returned to in-person instruction after the COVID-19 pandemic. Methodology: This qualitative study explores how Riverside County middle school teachers addressed students' social and emotional needs upon returning to in-person learning after COVID-19. Twelve teachers from local public middle schools (grades 6-8) participated in semi-structured interviews, answering ten questions. Data from interviews and artifacts were transcribed and analyzed using NVIVO software to identify recurring themes related to the study questions. Findings: The shared experiences of participants and …

More Than Just A Grade: Factors Influencing Secondary Students’ Engagement With Digital Feedback, Mandy Prior

Dissertations

The increasing use of technology in secondary education has shifted teacher feedback practices to digital environments. While digital feedback offers many promising affordances, the factors that influence how students engage with and use digital feedback are not well understood. Previous research indicates that digital feedback poses unique challenges for engagement. New paradigm feedback models seek to identify processes and actions that promote feedback engagement. However, these models require further study in digital and pre-higher education contexts. This qualitative single-case study investigated the factors influencing secondary students' engagement with digital feedback. Data included 24 student interviews conducted across four grade levels …

Acquisition Of English By Additional Language Learners In Inquiry-Based Classrooms Within International Baccalaureate Primary Years Program Schools, Valerian Goguadze

Dissertations

Many International Baccalaureate (IB) Primary Years Programme (PYP) schools provide English instruction to all students. The program has grown worldwide with a significant enrollment of students who speak a first language other than English, necessitating the need for an English as an Additional Language (EAL) curriculum. The IB’s philosophy of language acquisition is deeply integrated into its documents, school policies, and classroom practices. Consequently, all IB teachers, not just those who teach additional languages, are expected to have a basic understanding of how to teach English. Despite IB’s supportive-inclusive policies, EAL learners continue to face challenges in learning English.

There …

Impact Of Disciplinary Literacy Pedagogy On Student Historical Content Learning: A Mixed Methods Research Study, Jeffrey Mayr

Dissertations

This study sought to assess if a disciplinary literacy (DL) teaching intervention could increase student historical content learning. The purpose of this study was to help make recommendations for usage of DL teaching strategies in the future. DL is a new and promising teaching strategy that has a multitude of research-backed benefits. However, DL adoption has been hampered by a lack of clarity on if DL can improve student content learning and test scores. This study used mixed methods methodology. Quantitative assessment was utilized for a quasi-experimental pre- and post-test design to assess the impact of a two-week DL teaching …

Comparing Student Outcomes Related To The Implementation Of The 3de Program, Amanda Burks

Dissertations

This study examines the impact of the 3DE program on ninth-grade student achievement in a Title I high school in Metro Atlanta. The 3DE program is a cohort-based model that utilizes interdisciplinary teaching paired with case study methodology; the program aims to support students as they make the difficult transition from middle to high school. This study focuses on two research questions, comparing the academic achievement of students in the 3DE program with those in the broader ninth grade population, measured by their scores on the Algebra I end of course (EOC) exam as well as the ninth-grade literature EOC. …

The Impact Of Verbal Discourse On General And Special Education Students In The Ninth Grade Algebra I Classroom, Lauren Raschen

Dissertations

The purpose of this research study was to determine if there was a difference in using verbal discourse methods in the Foundations of Algebra/Algebra I for the general and special education population.  This study was done in the collaborative classroom where the results of general education and special education students were compared.  The researcher also compared the results of the verbal discourse formative assessments to determine which type of verbal discourse made the greatest impact of conceptual understanding of mathematical operations using a quantitative study.  The data was collected for two formative assessments and compared using the multiple linear regression …

Examining The Relationship Between Textbook Formats, Students’ Self-Efficacy And Academic Performance In Higher Education, Anthony Eya

Dissertations

Ideally, educators would have sufficient data to understand how textbook formats (Ebook and Pbook) can transform negative student behaviors resulting from low self-efficacy to improve their academic performance (Alegre, 2014; Masa’deh et al., 2022). The problem driving this study is the lack of empirical data on the relationship between textbook format, student self-efficacy, academic performance, and behavioral factors that undermine student success in a self-regulated learning environment (Masa’deh et al., 2022). Also, there is a need for data that could inform strategies for solutions to poor student self-efficacy regarding textbook type and low academic performance (Alegre, 2014). This study used …