Digital Commons Network^™

Demonstration And Assessment Of Dark Field And Phase X-Ray Computed Tomography, Wadiah Hamed Allahyani

Electronic Theses & Dissertations (2024 - present)

Conventional computed tomography produces a 2D slice or 3D image from multiple conventional images to avoid overlapping structures and increase visualization of the internal features of the object. A set up, macro controls and processing for computed tomography was created for the Center for X-ray Optics for the first time, and demonstrated in this work. Adding differential phase contrast to conventional x-ray images highlights edges. Two more channels of information, dark field and integrated phase, improve the contrast and increase the signal-to-noise ratios of the image. Combining these channels with computed tomography is an important development. This work is the …

Investigation Of Electromigration Stresses Of Advanced Node Conductors Through Pulsed Power Behavior, Mohd Mueen Ul Islam Mattoo

Electronic Theses & Dissertations (2024 - present)

The microelectronics industry continues to put a heavy focus on preventing electromigration (EM) failures at advanced node conductors. The continuous scaling coupled with higher operating current densities further accentuate the problem. Most of the electromigration testing in the industry is performed with DC currents to evaluate the electromigration reliability of metal interconnects. However, most of the real-world applications operate using a pulsed current rather than a constant direct current. EM testing with pulsed direct current (PDC) show interesting results with how the current induced stress gradient evolves in absence of the electromigration driving force. It is generally assumed that the …

Tapping A Hidden Resource In Classrooms: Peer Interactions And Their Role In Language, Literacy, And Disciplinary Literacy Practices Among Adolescent English And Non-English Learners, Jina Byeon

Electronic Theses & Dissertations (2024 - present)

This qualitative case study examines how peer interactions among six seventh-grade English Learners (ELs) and non-ELs serve as both a context for and a method of developing adolescents' literacy and disciplinary literacy practices. Data sources include two semi-structured interviews with each student and their four classroom teachers, student and teacher ethnographic interviews, 300 hours of classroom observations (in English Language Arts, Social Studies, Math and Science, English as a New Language Tutorial), and student-generated artifacts (e.g., worksheets).

Through the application of iterative and thematic data analysis, three key themes were identified: 1) adolescents' interactions with their peers fostered a supportive …

Stratospheric Variability And Its Relationship To Cold Air Outbreaks In The United States, Paul T. Panhans

Electronic Theses & Dissertations (2024 - present)

Only since the early 2000s, has there been a growing body of work linking extreme winter temperature anomalies to the variability of the Northern Hemisphere stratospheric polar vortex (SPV). However, the understanding behind stratosphere-troposphere coupling and cold air outbreaks (CAOs) remain occasionally contradictory in the literature, making it difficult to properly articulate societal risks. Studies often focused on broad stratospheric influences, but this research directly compared stratospheric variability according to their respective tropospheric impacts. This dissertation filled a knowledge gap, as there has yet to be a comprehensive analysis to quantify the differences in stratospheric variability with and without CAOs …

A Dynamically Adapting Forecast Cone Based On Ensemble Spread, Michael N. Barletta

Electronic Theses & Dissertations (2024 - present)

Dynamically based ensemble prediction systems have gained considerable attention because they can provide a greater range of possible forecast outcomes and quantify the uncertainty in forecasts. In turn, forecasters can convey clearer messages to the public on the range of forecast scenarios and display inherent uncertainty in weather forecasts, which can be difficult to do with deterministic forecasts. Although global ensemble prediction systems have demonstrated skill in their probabilistic track predictions, the information contained within them is not always fully utilized beyond the mean forecast and standard deviation (i.e., spread). One way that these ensembles could be better employed is …

Further Results On Learning Quantum Measurement Classes: Quantum Pac Model For Povm Hypothesis Classes, Arka Prabha Das

Electronic Theses & Dissertations (2024 - present)

This thesis investigates the problem of learning from quantum systems, where each example consists of a quantum state paired with a classical outcome. The task centers on choosing an effective measurement rule from a fixed set to enable accurate prediction of the classical outcome from the quantum state. A central focus lies in understanding whether joint measurement strategies that cannot be separated into local operations offer a real benefit in terms of the number of examples needed for successful learning. We examine conditions under which a non-separable measurement within a given hypothesis class achieves strictly better sample complexity bounds compared …

Enhancing Crispr-Cas12a Activity Through Guide Rna Methylation, Hilal Dagci

Electronic Theses & Dissertations (2024 - present)

CRISPR-Cas12a is a rapidly evolving technology for improved gene editing in cells, as well as in vivo. The system, consisting of Cas12a nuclease and approximately 40-nt long guide RNA (gRNA), can efficiently recognize and cut genomic double-stranded DNA (dsDNA). Chemical modifications to the gRNA can potentially improve its dsDNA binding and enhance Cas12a-mediated nuclease activity. In this work, 5-methyl cytidine (m5C) and N6-methyl adenosine (m6A) were explored to improve the binding between gRNA and target DNA. Phosphoramidites of m5C and m6A were used to construct a library of gRNAs using solid phase RNA synthesis. Tm studies were carried out …

A Comparison Of College Readiness Among Adult And Traditional-Age College Students, Oxana Rosca

Electronic Theses & Dissertations (2024 - present)

This dissertation examines age-based differences in college readiness by comparing newly enrolled adult undergraduates (age 24 and older) with traditional-age undergraduates at two public institutions: a large online university serving primarily working adults and a residential research university serving primarily younger students. The study uses secondary data from 5,447 incoming students who completed the Diagnostic Assessment and Achievement of College Skills (DAACS) Reading and Mathematics assessments between May 2022 and May 2023. The primary goal was to test whether adult and traditional-age students differ in reading and mathematics readiness after adjusting for background characteristics.

Multistage bifactor and unidimensional two-parameter logistic …

Andrews University Fall 2025 Enrollment And Rankings Report, Anthony Bosman

Faculty Publications

No abstract provided.

Book Review Of Philosophical Fragments As The Poetry Of Thinking: Romanticism And The Living Present By Luke Fischer, Michael Vater

Philosophy Faculty Research and Publications

No abstract provided.

The Great Scrape: The Clash Between Scraping And Privacy, Daniel J. Solove, Woodrow Hartzog

Faculty Scholarship

Artificial intelligence (AI) systems depend on massive quantities of data, often gathered by “scraping”—the automated extraction of large amounts of data from the internet. A great deal of scraped data contains people’s personal information. This personal data provides the grist for AI tools such as facial recognition, deep fakes, and generative AI. Although scraping enables web searching, archiving of records, and meaningful scientific research, scraping for AI can also be objectionable and even harmful to individuals and society.

Organizations are scraping at an escalating pace and scale, even though many privacy laws are seemingly incongruous with the practice. In this …

A Proposed Ehrenfeucht-Fraïssé Game Model For Natural Language Processing Generative Adversarial Networks, Don Li

Anthós

Large Language Models (LLM’s) (e.g., ChatGPT) constitute both a significant research area and commercial application of AI. Current major LLM’s are built on Generative Pre-Trained Transformer (GPT) neural network architecture to perform natural language processing (NLP) tasks. Generative Adversarial Network (GAN) is another popular neural network architecture, which leverages a zero-sum game between constituent neural networks within the architecture to train the GAN, and is widely used for visual data applications. This article proposes a new GAN architecture for NLP: an EF-GAN whose underlying algorithm uses Ehrenfeucht–Fraïssé (EF) games, a game-theoretic approach from model theory to determine elementary equivalence of …

Retrenchment By Division: The New Law And Politics Of Parental Rights, Mary Ziegler, Maxine Eichner, Naomi Cahn

Faculty Publications

For the past century, the Supreme Court has repeatedly affirmed the importance of parents’ rights to direct their children’s upbringing and education. Yet suddenly the rhetoric of parental rights is being used to ground a broad range of claims on issues such as what can be taught in public schools, when minors can access gender-affirming care, or who will be punished for helping minors travel for abortion care. Why have parental-rights claims surged so visibly in contemporary law and politics? And are all the new arguments made under the banner of parental rights equally rooted in constitutional precedent?

This Article …

A Patent System For Temple Grandin, Andrew Chin

Faculty Publications

This article explores the intersection of neurodiversity and innovation through the lens of Temple Grandin’s contributions to livestock handling systems and her philosophical alignment with the U.S. patent system. Drawing on cognitive research by Simon Baron-Cohen, archaeological insights from Penny Spikins, and personal reflections, I argue that autistic cognitive styles—characterized by heightened “folk physics” aptitudes and visual thinking—have historically driven technological progress. Grandin’s patented inventions, motivated by sensory-based empathy for animals, exemplify how neurodivergent inventors seek to embed their conceptions of ethical utility into the nation’s technological infrastructure. The article critiques modern patent litigation trends, advocating instead for a system …

Reinforcement Learning-Based Dynamic Field Exploration And Reconstruction Using Multi-Robot Systems For Environmental Monitoring, Thinh Lu, Divyam Sobti, Deepak Talwar, Wencen Wu

Faculty Research, Scholarly, and Creative Activity

In the realm of real-time environmental monitoring and hazard detection, multi-robot systems present a promising solution for exploring and mapping dynamic fields, particularly in scenarios where human intervention poses safety risks. This research introduces a strategy for path planning and control of a group of mobile sensing robots to efficiently explore and reconstruct a dynamic field consisting of multiple non-overlapping diffusion sources. Our approach integrates a reinforcement learning-based path planning algorithm to guide the multi-robot formation in identifying diffusion sources, with a clustering-based method for destination selection once a new source is detected, to enhance coverage and accelerate exploration in …

Association Between Risk Factors And Major Cancers: Explainable Machine Learning Approach, Xiayuan Huang, Shushun Ren, Xinyue Mao, Sirui Chen, Elle Chen, Yuqi He, Yun Jiang

Faculty Research, Scholarly, and Creative Activity

Background: Cancer is a life-threatening disease and a leading cause of death worldwide, with an estimated 611,000 deaths and over 2 million new cases in the United States in 2024. The rising incidence of major cancers, including among younger individuals, highlights the need for early screening and monitoring of risk factors to manage and decrease cancer risk. Objective: This study aimed to leverage explainable machine learning models to identify and analyze the key risk factors associated with breast, colorectal, lung, and prostate cancers. By uncovering significant associations between risk factors and these major cancer types, we sought to enhance the …

Reinforcement Learning Methods For Assistive And Rehabilitation Robotic Systems: A Survey, Mojtaba Sharifi, Shreesh Tripathi, Yun Chen, Qiang Zhang, Mahdi Tavakoli

Faculty Research, Scholarly, and Creative Activity

Advancements in robotic systems aimed at improving mobility for individuals with disabilities have required more sophisticated control and navigation methods. Traditional control approaches often lack the complexity and adaptability needed for the high-dimensional nature of human activities. Consequently, reinforcement learning (RL) has emerged as a dynamic and effective framework for managing robotic actions in complex and unpredictable human environments. This article reviews the integration of RL in robotic systems for enhancing the mobility of individuals with disabilities, addressing the limitations of traditional control methods in complex and unpredictable environments. We critically analyze various RL algorithms, discussing their advantages and challenges …

A Qualitative Study: Supports Enabled By K-8 School Leaders To Bolster The Success Of Teachers In Their Mathematics Departments, Elizabeth A. Mercurio

Theses and Dissertations--Educational Leadership Studies

Despite decades of national policy efforts and reforms, mathematics achievement in public education in the United States, particularly in urban areas, remains persistently low, underscoring the critical need for effective leadership and targeted professional development to maximize student learning. There is limited research on the leadership approaches of building-level school leaders who have effectively strengthened mathematics departments and enhanced teacher capacity to improve student achievement. This qualitative study employed semi-structured interviews with building-level school leaders who have demonstrated success in fostering highly effective mathematics instruction to examine the leadership styles of effective urban school leaders and their use of professional …

Path-Goal Leadership Dynamics In Advanced Manufacturing Dual Credit Career And Technical Education (Cte) Classrooms In Connecticut, Kyle R. Pepin

Theses and Dissertations--Educational Leadership Studies

This dissertation examined the adaptive instructional leadership practices of instructors teaching dual credit career and technical education (CTE) classes in Connecticut, particularly in advanced manufacturing technologies (AMT). The study drew on survey responses from a broader group of course instructors and a purposeful sample of six instructors and six adult students who participated in semi-structured interviews. All instructors taught dual credit classes in partnership with Connecticut State Community College in hands-on manufacturing, engineering, or similar workshop environments designed to prepare high school aged students for careers and develop practical, job-ready skills in settings that closely replicate industry conditions. This under-researched …

Optimizing The Challenge: A Study On Promoting Intrinsic Motivation In Youth Physical Activity, Fan Zhang Dr.

Theses and Dissertations--Kinesiology and Health Promotion

This study investigates the intricate relationship between intrinsic motivation and various factors within the context of physical education (PE) among high school students. Drawing upon Self-Determination Theory as a conceptual framework, the study aims to unravel the influence of perceived challenge, perceptions towards physical activity (PA) during PE, personal characteristics, gender differences, PA levels, and their interactions on students' intrinsic motivation in PE.

A quantitative approach was adopted, utilizing surveys including the Challenge Scale, Intrinsic Motivation Inventory, Relatedness Scale, and Physical Activity Questionnaire for Adolescents. Data was collected from a convenience sample of 92 high school students from Great Crossing …

Rasch Model Utilization Towards Developing An Instrument For Measuring Creative Drive, David W. Stenulson

Theses and Dissertations--Educational Policy Studies and Evaluation

Creativity is commonly assessed across undergraduate programs as a graduation requirement. However, a considerable amount of literature suggests that creativity is a complex, multidimensional construct, and more efficient ways of assessing it should be explored with multiple measures representing different creative aspects. This exploratory pilot study sought to take steps in developing a supplemental instrument designed to measure creative drive, a theoretical construct with predictive potential for future creative output. In order to gain a greater understanding of the nature of creative drive and gauge accuracy of initial thinking in terms of item writing, the Creative Drive Assessment (CDA), a …

Scholars And Schisms: A History Of Antebellum Conflicts Over Slavery At Central Kentucky Liberal Arts Colleges, Wyatt M. Driskell

Theses and Dissertations--Educational Policy Studies and Evaluation

This dissertation explores how debates about slavery impacted constituents at four early liberal arts colleges (Berea, Centre, Georgetown, and Transylvania) in antebellum central Kentucky. In addition to focusing on how these colleges participated in, responded to, and helped shape regional debates over slavery, this study also explores how college leaders’ consideration of slavery was intertwined with religion, politics, and the financial pressures inherent in operating a 19th-century institution of higher education. From archival research, I argue that these constituents were not passive participants in this process. In addition to considering slavery from religious, moral, or political perspectives, leaders advanced positions …

From Engagement To Clarity: Understanding Career Exploration Activities And Their Influence On Career Clarity Among High School Students, Odunayo O. Omotilewa

Theses and Dissertations--Education Sciences

This study examined the associations between career exploration activities and career clarity among high school students in the U.S.A. Using data from the 2022 Program for International Student Assessment, collected from a national sample of 15 to 16-year-olds across 154 schools, the researcher first identified student and school factors associated with engaging in career exploration. The study then examined the influence of these activities on career clarity. Specifically, the analysis focused on internships, job shadowing, job fairs, career counseling, completing career questionnaires, researching careers and colleges online, attending college tours, and financing information, and on the level of engagement in …

Implementation Of Project-Based Instruction In Statistics Higher Education Courses, Jennifer A. Daddysman

Theses and Dissertations--Education Sciences

Project-based instruction is an instructional methodology based in constructivism that aligns with recommendations from the American Statistical Association for teaching statistics, including incorporating real-world data and examples, collaboration, and scaffolding (GAISE College Report ASA Revision Committee, 2016; GAISE Steering Committee, 2024; Krajcik & Blumenfeld, 2005; Tishkovskaya & Lancaster, 2012). This study examined current use of project-based instruction in United States higher education courses in statistics and the supports for and challenges to implementing this type of instruction.

This study used qualitative research methodology in the integrative pedagogy and diffusion of innovation frameworks. Voluntary response surveys were distributed via two sections …

Examining How Well High School Geometry Students Learn Concepts Of Three-Dimensional Figures Using A Project-Based Instructional Strategy, Lenora A. Mcgrath

Theses and Dissertations--Education Sciences

This paper examines how well the introduction of an integrated approach, namely, Project-based Instruction (PBI), which uses real-world contexts to investigate problems, leads to improved academic performance and student motivation in a 9^th Grade Geometry class studying three-dimensional figures and their properties. The experimental group worked through the researcher-designed unit that included mini-lessons, six benchmark lessons, and the design and creation of a final product to address the driving question of the unit. The comparison group experienced a normative teaching strategy designed by the classroom teacher. An explanatory sequential mixed methods design was chosen for the proposed study to …

Investigating The Psychometric Properties Of A Set Of Local Stem Literacy Instruments In Rasch Model, Lijun Shen

Theses and Dissertations--Educational Policy Studies and Evaluation

This study investigates the psychometric features of the See Blue STEM literacy inventories (SBSTEMs, including the elementary version SB-E and the middle school version SB-M) to determine their validity in measuring STEM literacy. Using data from elementary and middle school students participating in the See Blue STEM camp in 2019 and 2021-22, this research employed the Rasch Partial Credit Model (PCM) to analyze item-level performance and identify DIF items across various demographic subgroups (race, gender, free-lunch status, and potential first-generation status) and camp delivery modes (online versus in-person). Results indicated that both the elementary (SB-E) and middle school (SB-M) versions …

“Hard To Rememeber, Then Hard To Forget:” A Qualitative Exploration Into The Attitudes And Lived Experiences Of Black People With Black Names, Destin L. Mizelle

Theses and Dissertations--Educational, School, and Counseling Psychology

Naming practices within the Black American community are vibrant and deeply rooted in cultural traditions and shared values. Much like other ethnic groups, these names tell stories, reflect heritage, and connect individuals to their community, making each choice meaningful and significant. However, due to the systemic effects of anti-Blackness, Black Americans often have a complex relationship with their names. While previous research has primarily utilized quantitative methodologies focusing on the negative associations and consequences of having a Black name, this study aims to amplify the voices of Black people who possess Black names. Using reflexive thematic analysis, this qualitative study …

From Disciplinary Enthusiasm To Soulless Tasks: Norms Behind Computing Educators' Emotion Display, Virginia Grande, Päivi Kinnunen, Matthew Barr, Anne Kathrin Peters, Mihaela Sabin, Matilde Sánchez-Peña, Ethel Tshukudu

Faculty Research, Scholarly, and Creative Activity

Computing educators' emotion display is regulated by various norms and conventions. These (unwritten) rules affect which emotions educators feel comfortable expressing to different extents when students can perceive such displays. We draw on emotions and norms literature to investigate higher education computing educators' perceptions of what kinds of norms they have as criteria when considering which emotions they are (not) comfortable showing when teaching. Based on the qualitative content analysis of 22 interviews with computing educators from seven countries, we present various–sometimes connected or conflicting–norms that influence emotion display. These norms comprise moral, national, societal, professional, and affiliation norms that …

Understanding High School Students’ Identities In Stem Through Video Elicitation, Andrea N. Perrin

Theses and Dissertations--Science, Technology, Engineering, and Mathematics (STEM) Education

Understanding how high school students develop their STEM identities is essential for creating inclusive and engaging learning environments that foster persistence in STEM fields. This qualitative study explores the experiences of high school seniors in an engineering capstone course within a diverse Midwestern high school, utilizing video elicitation as the primary research method. Through video interviews, transcript reviews, and thumbnail selections, students provided firsthand insights into their evolving STEM identities, sense of belonging, and the factors influencing their persistence in engineering.

Findings reveal that social interactions, autonomy in learning, hands-on experiences, and real-world applications of engineering concepts shape students' STEM …

Examining The Professional Noticing Skills, Attitudes Toward Mathematics, And Elementary Math Content Knowledge Of Preservice Elementary School Teachers Through The Noticing Numeracy Now Intervention, Johnathan T. Rogers

Theses and Dissertations--Science, Technology, Engineering, and Mathematics (STEM) Education

Abstract: This quasi-experimental study examined the impact of the Noticing Numeracy Now intervention, an intervention focused on professional noticing of children’s conceptual development in whole number and arithmetic reasoning, on preservice elementary teachers’ professional noticing skills, attitudes toward mathematics, and elementary math content knowledge. This study was based off of a previous study and intervention created by Molly Fisher, Jonathan Thomas, Edna Schack, Cindy Jong and Janet Tassell. This study used a video-based professional noticing module, consisting of four lessons, situated in the pedagogies of practice framework. Within this study, 10 students (all preservice elementary teachers) at Kentucky State University …