Digital Commons Network^™

Investigating The Role Of Humic Acid In The Adsorption Mechanics Of Acetaminophen On Potassium Persulfate-Aged Polyethylene Terephthalate (Pet), Andrew Littleton, Maria Danielle Garrett, Phd

SPARK Symposium Presentations

Pharmaceutical contaminants such as acetaminophen (APAP) are showing a rising presence in aquatic environments, where their interactions with microplastics (MPs) can potentially modulate natural degradation mechanisms. Concurrent presence of the two substances has been shown to potentiate increase their individual harmful effects. This study investigates whether oxidative aging and humic-acid surface modification of PET microplastics influence APAP adsorption.

In this study, UV-aging was reproduced using an iron (II)-activated potassium persulfate (Fe(II)-KPS) oxidation system. Aqueous dissolved organic matter (DOM) is simulated using multi-hour exposure to humic acid. The MPs are then removed from the solution to examine adsorption mechanisms. While most …

Urbanization And The Giant Pacific Octopus, Beau Taylor, Darlene Panvini, Graydon Williams

SPARK Symposium Presentations

Urbanization and the Giant Pacific Octopus 

Our project is incorporating scientific research and a creative component into one by writing a chapter for a children’s science book. In this chapter, we are sharing the research and results of ecologist Eliza C. Heery and her fascinating work on the giant Pacific Octopus. We are analyzing how these predators are affected by the process of urbanization. More specifically, we are looking to answer the question of whether urbanization affects how and where a marine predator lives. To do this, we are writing a narrative from the perspective of our chosen ecologist, Eliza …

Finding Affordable Alternatives: A Similarity-Based Beauty Product Duplication, Jessica Tran

SPARK Symposium Presentations

The beauty and skincare market offers thousands of products that often promise similar benefits while varying widely in price. Many consumers search for “dupes,” or lower-cost alternatives to high-end products, but finding them typically requires time-consuming research or unreliable online recommendations.

This project develops an AI/ML-based recommendation system that identifies similar beauty products using their ingredient compositions. Using a dataset of over 8,000 Sephora products, the system analyzes ingredient lists and product features to measure similarity and suggest potential alternatives. By combining similarity scores with pricing information, the model can highlight products that deliver comparable formulations at a lower cost. …

Assessment Of Doxorubicin And Etoposide Effects On Cardiotoxicity Using Daphnia Magna As A Model Organism​, Jacob P. Bealle, Andrea Florian

SPARK Symposium Presentations

Chemotherapeutic agents such as doxorubicin and etoposide are widely used in cancer treatment but are known to produce cardiotoxic side effects that can limit their clinical use. Doxorubicin has been strongly associated with dose-dependent cardiac damage, and etoposide has also been reported to produce cardiotoxic effects although the cardiotoxic effects of etoposide are not as well studied. Daphnia magna is a useful model organism for cardiotoxicity studies because its transparent body allows direct observation of heart rate and provides a living system for detecting physiological responses to exposure. The purpose of this study was to investigate the cardiotoxic effects of …

Potential Environmental Triggers Of Goodpasture's Disease And The Role Of The Sulfimine Crosslink, Colton S. Miller, Andrea Florian, Elena Pokidysheva

SPARK Symposium Presentations

Goodpasture’s syndrome (GP) is an autoimmune disorder that primarily affects kidneys and lungs. The main issue for patients with Goodpasture's syndrome is the binding of autoantibodies to the glomerular basement membrane (GBM), which hinders the filtration of blood. A key characteristic of Goodpasture's syndrome is the presence of autoantibodies that target the NC1 domain of the α345 isoform of type IV collagen, a crucial component of the GBM that provides structural support and is critical for filtration function. Sulfilimine bonds crosslink the collagen IV NC1 hexamers, contributing to the stabilization of these structures. A recent clinical case of recurring Goodpasture's …

Hope Is An Act, Not A Wish: An Autoethnographic Journey Of Reimagining Disability As A Catalyst For Playing With Possibility, Creativity, And Innovation Within Liminal Spaces, Jennifer Salerno

Doctor of Education

This dissertation aimed to challenge and move beyond unjust social norms related to individual ability and independence, finding such norms based on a fictitious ideal of human capacity. Instead, an ethic of interdependence, such as encompasses the natural world, is defined and promoted in turn. People with disabilities are considered deficient and marginalized because they deviate from ableist norms (Flynn, 2020). They face significant barriers to establishing and maintaining relationships with nature as a result of ability expectations around how bodies should look and behave in the natural world (Wolbring & Lisitza, 2017). People with disabilities covet normality and the …

“We Learned So Much More About Each Other”: Strengthening Student-Educator Relationships Through Culturally Affirming Practices, Ashley R. Routhier

Doctor of Education (Ed.D.)

School connectedness serves as a powerful lever for positive student outcomes. Specifically, student-educator relationships provide well-documented benefits, acting as a protective factor against adverse experiences. However, building and maintaining these relationships remains a complex challenge influenced by site-specific conditions. This challenge is further intensified when accounting for diverse cultural and racial backgrounds. Utilizing an improvement science framework, this qualitative study examined educators’ perceptions as they facilitated culturally affirming social and emotional lessons in a pre-existing advisory block at a magnet high school. Findings indicate that factors at every level of the system shape student-educator relationships. Policies emerged as a critical …

J Am Coll Dent 2026 92 3

Journal of the American College of Dentists

The Journal of the American College of Dentists (JACD) publishes scholarly articles, editorials, essays, and reflections addressing the ethical, professional, and social dimensions of dentistry. The Journal serves as a forum for advancing ethics, professionalism, leadership, and excellence within the dental community. By fostering dialogue across disciplines and perspectives, JACD provides readers with insights that encourage ethical, professional practice, lifelong learning, and service to the public, reinforcing dentistry’s commitment to advancing oral healthcare and the common good.

Response To Intervention: Impact On Academic Achievement, Lisa Cisneros

Education Theses and Dissertations

The purpose of this study was to examine the application of improvement science within education as a structured framework for strengthening the implementation of Multi-Tiered Systems of Support (MTSS) and Response to Intervention (RTI) to improve elementary students’ reading outcomes. Grounded in the six guiding principles of improvement science: problem-specific, focus, variability acknowledgment, system recognition, evaluation, and systematic inquiry learning. This study applied a Design-Based Implementation Research (DBIR) methodology and practical insights. The study emphasized the utilization of the Plan-Do-Study-Act (PDSA) cycle as a trial-and-learning methodology to instigate continuous improvement in educational practices. Using a mixed-methods design across two years …

Evaluation And Impact Of 4th Grade Writing Instruction And Intervention, Sasha R. Smith

Education Theses and Dissertations

The implementation of Texas's redesigned State of Texas Assessments of Academic Readiness (STAAR) introduced extended constructed response (ECR) items that required students to demonstrate reading comprehension through written responses. At the study site, fourth-grade students consistently demonstrated stronger reading comprehension than writing performance, revealing a gap in their ability to communicate understanding using evidence-based written responses. The purpose of this Improvement Science Dissertation in Practice was to evaluate the implementation and impact of a systems-based instructional intervention designed to improve fourth-grade students' performance on constructed response writing tasks through increased instructional coherence and explicit writing instruction. This embedded mixed-methods case …

Building Improvement Capacity In School Improvement Planning, Jennifer E. Garcia

Education Theses and Dissertations

This improvement science dissertation examined how school teams used improvement science routines to strengthen planning and implementation in school improvement. The study focused on two California schools designated for Additional Targeted Support and Improvement (ATSI) or Comprehensive Support and Improvement (CSI) for multiple years. Although both teams developed School Plans for Student Achievement (SPSAs), they demonstrated minimal sustained improvement, suggesting limitations to their underlying improvement processes. Using an improvement science methodology, informed by design-Based research, this study investigated how structured improvement practices, such as root cause analysis, driver diagrams, and Plan-Do-Study-Act (PDSA) cycles, supported schools in developing more inquiry-driven improvement …

The Impact Of Leadership Skills On Pbl Group Dynamics, Jaime W. Burke Hicks

Education Theses and Dissertations

This Improvement Science Dissertation in Practice examined the role of intentional leadership instruction in addressing persistent challenges in Project-Based Learning (PBL) group dynamics within a middle school setting. The Problem of Practice centered on students’ inconsistent demonstration of leadership behaviors, including communication and accountability, which limited the effectiveness of group work despite prior exposure to PBL structures. This study was conducted at a university-affiliated public charter school in East Texas, where PBL serves as a core instructional model.

Guided by an Improvement Science framework and structured through a Plan-Do-Study-Act (PDSA) cycle, this study employed a mixed-methods embedded design to evaluate …

Bias Across The Data Lifecycle: Data Governors’ Perceptions In Land-Grant Higher Education, Shauna N. Mcclure, Lisa Lambert Snodgrass

Journal of Higher Education & Student Affairs

Higher education institutions increasingly rely on artificial intelligence (AI)-enabled tools and predictive analytics to inform decisions in areas such as admissions, student success, and resource allocation. This reliance heightens the need for data governance frameworks that address the policies, processes, and technologies governing student data. Data governors shape how institutional data are collected, interpreted, and used, yet existing approaches often assume that data are neutral, overlooking how bias can become embedded and compounded across the stages of the data lifecycle. This exploratory study investigates whether data governors perceive implicit bias as present across these stages. Using a quantitative survey, we …

Existential Reasoning Within The Framework Of Multiple Intelligences, C. Branton Shearer

International Journal of Transpersonal Studies Advance Publication Archive

This article investigates the concept and construct validity of the proposed existential intelligence (Gardner, 1999). Thinking about fundamental existential issues such as death and the meaning of life is a valued human cognitive activity, but does this qualify as a distinct form of intelligence with coherence, structural integrity, measurability, and independence according to Gardner’s criteria? A more accurate framing for this construct may be existential reasoning—a type of cognition that seems likely to be a precursor to, subcomponent of, or parallel with the construct of wisdom. Data from the Scale for Existential Thinking (Allan & Shearer, 2012) are reviewed. …

Correlates Of Truancy Among Somali High School Students In Minnesota, Aisha Abdi

All Graduate Theses, Dissertations, and Other Capstone Projects

Truancy remains a significant challenge in schools today. Somali high school students’ truancy is specifically more prevalent. There is limited research on cultural factors that correlate with absenteeism within this population, and this quantitative study examined these factors. Acculturation, student employment, religious commitment, and perceived discrimination were the four key factors examined to inform the study. The sampled population were 16 high school students in grades 9 to 12 from two high schools within the Twin Cities metropolitan area of Minnesota. The student participants completed the Stephenson Multigroup Acculturation Scale (SMAS), Child Perceived Discrimination Questionnaire (CPDQ), and researchers’ constructed surveys …

Sociolinguistic Challenges To The Academic Inclusion Of Latin American Immigrants Of Legal Age And Spanish In High Schools In Minnesota: A Qualitative Study On The Learning Of English As A Second Language, Geanella Margarita Ochoa Veloz

All Graduate Theses, Dissertations, and Other Capstone Projects

This research analyzes and exposes the experiences of Latin American adult migrants who, having recently arrived in the United States, have resumed their studies in high schools in the State of Minnesota as a strategy to learn the English language by immersion. The study was based on the contributions of the sociology of migration and the sociology of education, which, incorporating as a methodological strategy “the case study” combined with “the life story”, managed to collect and share reflections regarding the barriers faced by migrants during the process of adaptation and insertion into American society, thus adopting a critical approach. …

The Second Minimum Size Of A Finite Subspace Partition, Esmeralda Năstase, Papa Sissokho

Faculty Publications – Mathematics

Let V = V (d, q) denote the vector space of dimension d over Fq . A subspace partition P of V , also known as a vector space partition, is a collection of nonempty subspaces of V such that each nonzero vector of V is in exactly one subspace of P. Motivated by applications of minimum blocking sets and maximal partial t-spreads, Beutelspacher (Geom Dedic 9:425– 449, 1980) determined in a lemma the minimum possible size δ(d) over all (nontrivial) subspace partitions of V . In Heden et al. (Des Codes Cryptogr 64:265–274, 2012) and N˘astase …

Second And Fifth Graders’ Changes In Strategies For Integer Addition, Mahtob Aqazade, Laura Bofferding

Faculty Publications – Mathematics

Research on integer addition often attributes students’ performance to their grade level while ignoring the role of prior whole number knowledge in influencing their learning difficulties. To explore whether these difficulties are related to their grade level or persistence in using rules based on their whole-number experiences, we first paired three second-grade students with three fifth-grade students who had similar integer addition strategies on their pretest. Then, we compared their strategy changes and performance after small-group sessions and whole-class activities around integer addition (i.e., instructional intervention). Although all pairs gained from the pretest to posttest, one fifth grader still relied …

Connected Fair Detachments Of Hypergraphs I, Amin Bahmanian

Faculty Publications – Mathematics

Let G be a hypergraph whose edges are colored. An (α, n)-detachment of G is a hypergraph obtained by splitting a vertex α into n vertices, say α1, . . . , αn , and sharing the incident edges among the subvertices. A detachment is fair if the degree of vertices and multiplicity of edges are shared as evenly as possible among the subvertices within the whole hypergraph as well as within each color class. In this paper we solve an open problem from the 1970s by finding necessary and sufficient conditions under which a k-edge-colored hypergraph …

Algorithmic Trading In Idiosyncratic-Payoff Markets: A Multi-Agent System For On-Chain Prediction Contracts, Saif Aldeen A.K. Agha

CMC Senior Theses

This thesis documents the design, deployment, and forward-test evaluation of an evolutionary multi-agent algorithmic trading system on Polymarket, the largest decentralized prediction market. The system pairs a locally-hosted 72-billion-parameter language model with a gradient-boosted statistical filter and an evolutionary selection mechanism that maintains a population of approximately 500 autonomous trading agents. Each agent generates a probability estimate for an event, compares it to the prevailing market price, and trades the resulting disagreement.

The central empirical exercise estimates a panel regression of trade-level profit on the absolute disagreement between the agent's probability estimate and the market price, controlling for agent identity, …

Goods, Practices, Excellence, And The Law: Steps To An Internal Theory Of Value, Rowan Gray

CMC Senior Theses

Practices are the coherent and complex social activities we spend much of our lives engaging in. This category encompasses everything from figure skating to wine-tasting to friend relationships. We gain immense value from participating in practices, and philosophers have articulated a number of accounts for where the value emerges from and how we can best experience it. Many of these theories are ‘externalist’, because they posit that value is incidental to practices and emerges from outside of them.

In contrast, this thesis will argue that the value in practices is internal to each practice. The value comes from each practice’s …

Interpretable Sample Uncertainty Measures For Ranked-Choice Election Polls, Jason Liang

CMC Senior Theses

Polling results from traditional single-choice plurality elections are readily interpretable. Simple frequentist population parameters are estimated, including each candidate’s total support and the size of the front runner's lead. If the point estimate for the size of the front runner's lead exceeds the margin of error of the lead, we can conclude that the poll shows a statistically significant front runner. However, the interpretability of these population statistics disappears when applied to ranked-choice voting elections. Because ballots rank multiple candidates and candidates are eliminated in rounds, simple population-wide parameters are not well-defined. In RCV elections, a candidate’s ability to win …

Bridging The Knowledge-Practice Gap In Breast Cancer Awareness: A Nationwide Online Cross-Sectional Kap Study Among Adult Females In Nigeria, Madinat Hassan, Taofeek Tope Adegboyega, Bilkisu Usman Farouk, Sunday Zeal Bala, Rachael Olufunmilayo Oduyemi, Kazeem Owolabi, Munir Sani, Miracle Uwa Livinus, Hannatu Usman Ayuba, Sadiq Hassan, Ifeyinwa Maureen Okeke, Abednego Shekari, Murtala Jibril

Chemistry & Biochemistry Faculty Publications

Background and Aims

Breast cancer (BCa) is a major cause of cancer morbidity and mortality among women in Nigeria, with late presentation contributing to poor outcomes. This study assessed knowledge, attitudes, and willingness to perform breast self-examination (BSE) among adult females in Nigeria and examined associated factors.

Methods

We conducted a descriptive cross-sectional online survey between February 16 and April 30, 2024. A structured, pretested questionnaire was disseminated through digital platforms, yielding 711 consenting adult female respondents from all six geopolitical zones. Knowledge, attitude, and willingness-to-perform-BSE measures were analyzed using descriptive statistics, linear regression, and binary logistic regression. Associations were …

Conference Schedule, Georgia Southern University

National Youth Advocacy & Resilience Conference

2026 Conference Schedule

Training Set Augmentation And Biology-Aware Harmonization Improve Radiomic Models For Lung Cancer Prediction In Indeterminate Nodules, Claire Huchthausen, Menglin Shi, Gabriel De Sousa, James Larner, Einsley Janowski, Jonathan Colen, Krishni Wijesooriya

Data Science Faculty Publications

CT radiomics-based machine learning has potential to predict lung cancer in pulmonary nodules (PNs) earlier than standard-of-care methods. Low malignancy rates in early-development PNs and variable image acquisition hinder development of radiomic models for diagnosing these PNs. To address these challenges, we augmented training using later-development PNs and harmonized for acquisition effects. We examine early-development benign and malignant PNs (n = 106) below the sensitivity of standard-of-care diagnosis. Classifiers predicting malignancy performed near chance when trained on ComBat-harmonized radiomic features from only early-development PNs. We then augmented training with later-development benign and malignant PNs (n = 225). We evaluated whether …

Students' Perception Of Generative Ai-Assisted Collaborative Argumentation, Jinhee Kim, Seongryeong Yu, Rita Detrick, Liangjie Fan, Na Li

STEMPS Faculty Publications

The rapid scaling of generative artificial intelligence (GenAI) technology presents opportunities for personalised learning experiences and facilitates collaborative learning, including collaborative argumentation (CA). However, empirical research examining students' perceptions of GenAI-assisted CA within classroom contexts remains limited. This study explored university students' experiences with GenAI-assisted CA through in-depth interviews with 36 students following a CA activity using a ChatGPT4-embedded argumentation platform developed by the research team. Findings indicate that students viewed GenAI as serving multiple roles, including tool, facilitator, teaching assistant and machine buddy. Students perceived that GenAI-assisted CA could empower task performance and create a collaborative learning environment. Meanwhile, …

Blens: Biomedical Literature Extraction And Scoring System, Tyler J. Simone

Honors Theses and Capstones

Systematic reviews and meta-analyses represent the gold standard for evidence synthesis in healthcare, yet their manual execution remains labor-intensive, time-consuming, and vulnerable to human bias. With the exponential growth of biomedical literature, traditional literature screening and analysis has become increasingly unstable and noncomprehensive. This thesis presents the development and validation of an automate literature gathering and review system that integrates multiple scientific databases through a unified desktop application. The platform combines APIs from PubMed (NCBI Entrez), ClinicalTrials.gov, bioRxiv and medRxiv to enable simultaneous, standardized searching across peerreviewed and preprint sources. Built in Python with a PySide6 graphical interface, this standalone …

Zero-Shot Segmentation Of Estuary Mudflats Using The Segment Anything Model, Jaren Unzen

Honors Theses and Capstones

Estuary mudflats are ecologically sensitive environments that require consistent monitoring. Traditional satellite-based classification workflows are often constrained by the high cost and labor-intensive nature of manual data annotation. This study evaluates the utility of Segment Anything Model 3 (SAM 3), a foundational computer vision model, to automate mudflat segmentation without domain-specific fine-tuning. By leveraging the model’s text-prompting capabilities alongside specialized pre- and post-processing techniques, we generated segmentation masks in a zero-shot framework. Our approach achieved an F1- score of 0.51, demonstrating the inherent challenges of spectrally complex coastal features. Despite this, the results highlight a promising pathway for adapting large-scale …

Investigating A Nanoparticle-Assisted Approach For Localized Strain Engineering In Two-Dimensional Materials, Skye Martichuski

Honors Theses and Capstones

This work investigated a fabrication strategy for inducing localized nanoscale deformation and strain in transferred MoS2 flakes using gold nanoparticle-coated substrates as a potential platform for strain engineering in two-dimensional materials. Substrate type, nanoparticle concentration, drying conditions, cleaning procedures, and flake transfer methods were investigated using optical microscopy and atomic force microscopy (AFM). Au-coated SiO2 substrates produced improved nanoparticle coverage compared to bare SiO2, while passive air drying yielded the most favorable nanoparticle distributions. Salt crystals introduced during passive drying were successfully removed with a gentle deionized water rinse, and a 50% diluted gold nanoparticle suspension provided improved particle spacing …

Stall Detection In Hydraulic Excavator Operations Using Heuristics And Machine Learning: A Case Study, Mateo Fernando Montenegro Defaz, Kwame Awuah-Offei, Yixiang Gao

Mining Engineering Faculty Research & Creative Works

This work aims to develop a reliable algorithm for stall detection during excavator digging by analyzing key operational variables such as velocity and angular displacements from machine monitoring data. The work develops and validates a heuristic algorithm to detect stalling events and trains a support vector machine classification algorithm to distinguish between "normal" digging cycles and cycles with stalling. This work is a novel attempt at using a classification algorithm to categorize digging cycles into normal and those with stalling events based on machine monitoring data alone. The developed classification algorithm achieved a sensitivity of 100%, indicating it correctly identified …