Digital Commons Network^™

Spring 2025 Graduate Portfolio, Alex Billman

Graduate Research Papers

History is more than a mere chronicle of events; it is a dynamic tapestry woven from a multitude of experiences, cultures, and narratives that shape our collective past. My philosophy of history is rooted in the belief that understanding history is essential for comprehending the present and envisioning the future. As a passionate historian with a focus on Iowa's rich and diverse history, I am driven by a commitment to uncovering the stories that have shaped this region and its people. My approach to history is both analytical and empathetic, aiming to bring to light the voices and perspectives that …

Graduate Portfolio, Cody Miller

Graduate Research Papers

No abstract provided.

Adverse Childhood Experiences And Healthcare Access, Kyla M. Frost

Graduate Research Papers

The purpose of this study was to examine the relationship between adverse childhood experiences (ACEs) and healthcare access, and ACEs and healthcare access among people of color. The current study is a secondary data analysis of the 2023 Behavioral Risk Factor Surveillance System (BRFSS) data collected by the Centers for Disease Control and Prevention. A disproportionate stratified sample (DSS) design and a simple random sample design were used to collect data. The current study examined 48,865 participants who completed ACEs through telephone surveys. The results showed a statistically significant negative relationship between ACEs and healthcare access. The results also showed …

Parenting Support Groups Outcomes, Christina Howell

Graduate Research Papers

According to the American Psychological Association 48% of parents find their stress to be completely overwhelming as compared to 26% of other adults. Sixty percent of parents struggle to focus, and 41% of parents report feeling so stressed that they cannot function (American Psychological Association (APA), 2024). In this study three questions are addressed 1) Are Online parenting support groups successful at supporting caregivers and children? 2) What are the outcomes for caregivers and their children when their caregivers participate in parenting support groups? 3) Are parenting support groups successful at supporting caregivers who have experienced trauma? The findings of …

Recovery Rate For Adolescents With Concussions That Participate In Aerobic Exercise, Katrina Cooper

Graduate Research Papers

No abstract provided.

Intellectual And Developmental Disabilities As A Risk For Child Maltreatment, Maddie Hawley

Graduate Research Papers

The purpose of this study is to examine the relationship between intellectual and developmental disabilities (IDDs) and child maltreatment. Data from the 2022 National Child Abuse and Neglect Data System (NCANDS) from the state of Minnesota was analyzed. The sample was made up of 38,083 reports of child maltreatment, where the average age of the child was 7.66 years. 51.2% of the children in the sample were female, and White children comprised the largest portion of the sample at 39.6%. Results of this study showed that children with IDDs are at an elevated risk of child maltreatment compared to typically …

Impacts Of Sexual Assault On Mental Health In Adolescents, Nicole Trip

Graduate Research Papers

The current study focuses on the impacts of forced sexual activity on mental health among high school students. This study is a secondary data analysis, using the 2023 Youth Risk Behavior Surveillance System (YRBSS), which is nationally representative data collected by the Centers for Disease Control and Prevention (CDC). A total of 19,945 high school students with an average age of 15.89 years, and about half of the students were White and male. This study found that experiences of sexual assault are associated with increased depression and suicidal ideation. This study also found that female youth experienced a higher level …

Adverse Childhood Experiences And Chronic Health Conditions In Black Individuals, Emily K. Etringer

Graduate Research Papers

The purpose of this study is to examine the relationship between Adverse Childhood Experiences (ACE) and chronic health conditions among Black individuals of different genders. The study employs quantitative research methods and utilizes secondary data analysis on the 2023 Behavioral Risk Factor Surveillance System (BRFSS) collected by the Centers for Disease Control and Prevention. Data was analyzed using descriptive statistics, including frequency, percent, mean, standard deviation, range, and inferential statistics, such as correlation analyses, independent groups t-tests, ANOVA, and Chi-square tests. This research revealed a statistically significant finding that Black individuals with an ACE score of 4+ have more chronic …

Survivors Of Childhood Sexual Abuse: The Impact Of Social Support, Cultural Background, And Early Interventions, Alysha Haaland

Graduate Research Papers

Childhood sexual abuse (CSA) is a critical public health issue that leaves enduring psychological, emotional, and social impacts on survivors. This paper examines the interrelated roles of social support, cultural background, and early interventions in promoting long-term resilience and recovery, with a particular focus on male and culturally diverse survivors. Grounded in Trauma and Resiliency Theory, this literature review highlights key protective factors—including emotional, informational, and instrumental support—while exploring how cultural norms, religious beliefs, and systemic stigma shape survivors’ coping strategies and access to care. The paper also evaluates the effectiveness of early interventions such as trauma-focused cognitive behavioral therapy, …

Black Girls In School: The Harmful Effects Of Dehumanization And Disciplinary Inequities, Annika Peterson

Graduate Research Papers

Black girls in the U.S. experience dehumanization through adultification and sexual objectification that impact disciplinary practices in the education system. Adultification stereotypes Black girls as more mature, less innocent, and less in need of protection, which results in harsher disciplinary actions and limited empathy from educators. At the same time, sexual objectification reinforces harmful perceptions of Black girls' sexuality and culpability in their sexual violence victimization. The “Jezebel” and “Angry Black Woman” stereotypes continue to influence how Black girls are perceived as either hypersexual or aggressive. These biases and stereotypes contribute to disproportionate disciplinary measures, particularly subjective infractions like “defiance” …

Police Interactions On Adverse Mental Health Outcomes Within Black Communities, Anessa Smith

Graduate Research Papers

This study examines the relationship between police interactions and psychological distress among Black adults, contributing to existing research on systemic racism and mental health disparities. Utilizing secondary data analysis, the 2023 California Health Interview Survey (CHIS), this study focuses on the analysis of a nationally representative, address-based sample of non-institutionalized Black adults residing in California, with a sample size of 1,009. The study examines associations between the number of police stops over a three-year period and psychological distress by gender. Findings indicate that a higher frequency of police stops is significantly associated with increased psychological distress. However, no statistically significant …

Sexual And Bystander Sexual Harassment Experiences Among Part-Time Female Employees: Testing An Interactive Model, Erin Powers

Graduate Research Papers

The current research investigated the impact of sexual and bystander harassment on work-related attitudes, work behaviors, and psychological health. Participants included 314 females who worked part-time at their organization. All participants individually completed a computer administered Workplace Experiences Survey assessing various aspects of their work environment including personal and bystander harassment experiences, work-related attitudes (supervisor, coworker, and work satisfaction), work behaviors (work and job withdrawal), and psychological well-being. It was predicted that both direct sexual harassment and bystander harassment experiences would be associated with more negative work attitudes, greater withdrawal behaviors, and poorer psychological health, with bystander harassment moderating the …

Using Analysis Of Teaching And Assessment Practices To Revise Implementation Of A Force Unit In An 8th Grade Science Course, Caleb Christine

Graduate Research Papers

One thing I have noticed from my fellow teachers is a desire to improve how we teach and to engage our students in active learning. As a new teacher I have that same desire. Accomplishing my goal of being an effective teacher while also improving how the material is presented requires an approach that includes evaluating not only how the students are performing, but also how they are responding to my instruction.

I used self reflection journals to keep track of how I was presenting material in my classroom. I also collected information from completion of ungraded assignments and investigations. …

The Impacts Of A Problem-Based Learning Unit On Computational Thinking Skills In A 7th Grade Lego Robotics Classroom, Madison Beeler

Graduate Research Papers

The primary focus of this study was to determine what impact problem-based learning (PBL) has on developing computational thinking skills, self-efficacy, and earth science understanding in a middle school robotics classroom. Twenty-eight students took part in a 36-day instructional unit based on the 5E Learning Cycle. Students explored Martian geology, analyzing rock data collected by the Perseverance rover mission to make connections between landforms, integrating Earth science with computational thinking tasks. Pre and post-test data assessed growth of computational thinking and self-efficacy. Statistical analysis showed significant growth in student self-efficacy, while gains in computational thinking were not statistically significant. Students …

Strategic Planning And Capacity Growth In Nonprofit Organizations, Rebecca Snapp

Graduate Research Papers

The following is a literature review of the relationship between strategic planning and capacity building in nonprofit organizations. The review specifically examines barriers to strategic planning and capacity building in the areas of environment, leadership, and funding, as well as elements of organizational readiness for strategic planning with the goal of supporting nonprofit organizations as they work to circumvent these barriers.

Mapping Learning In Higher Education: The Embedding Content Across Academic Programmes Toolkit, John Pierce, Mary Beades, Andrew Shields

Publications

The growing diversification of teaching roles in higher education and the siloed nature of semesterised programmes can inhibit quality teaching and learning. This paper introduces the Embedding Content Across Academic Programmes Toolkit (ECAAPT), a practical model for mapping and tracking embedded content across modules, semesters, and years within higher education programmes that can ease the administrative burden of curricular mapping and change on academics teaching in the sector. Originally developed with a focus on tracking student academic literacies, this model has also been adapted and shown value in mapping and tracking other content, such as graduate attributes, feedback, assessment strategies, …

Do Adhd Symptoms Enhance College Students’ Creativity And Entrepreneurial Self-Efficacy?, Jorge Sebastian Montesinos

Dissertations and Theses @ UNI

Despite years of research focused on impairment, it is possible that attention deficit/hyperactivity disorder (ADHD) may be beneficial in some ways. Past studies have analyzed ADHD’s potential benefits to creativity and entrepreneurship, but the majority have either been underpowered or have had mixed results. In an attempt to add clarity to these potential ADHD-related strengths, the present study explored the relation between symptoms of ADHD, creative achievement, and entrepreneurial self-efficacy (ESE). The current study was a survey of emerging adult college students from multiple U.S. universities. The purpose of this study was to explore relations between symptoms of ADHD and …

Broiler Breeders Today: Feather Development And Nutrition, Justina Caldas

Proceedings of the Arkansas Nutrition Conference

The broiler industry in the US has observed a consistent decline in fertility and hatchability, particularly the past 5 years. There are numerous managerial and nutritional approaches to optimize the pullet and subsequent mature broiler breeder, and these proceedings focus on feathering. Moreover, these proceedings examine the quantity and quality of broiler breeder plumage as affected by both pullet and hen nutrition.

The Effect Of Mitochondrial Disease On The Eyes And Possible Treatments With An Emphasis On Leber Hereditary Optic Neuropathy, Olivia Chambers

Honors Program Theses

Mitochondrial diseases are a diverse group of genetic disorders that impair cellular energy production, often leading to multisystem complications, including vision loss. This thesis explores how mitochondrial dysfunction impacts ocular health, with an emphasis on Leber Hereditary Optic Neuropathy (LHON), a disorder caused by point mutations in mitochondrial DNA affecting Complex I of the oxidative phosphorylation pathway. Through an extensive literature review, this research examines the mechanisms by which mitochondrial mutations damage retinal ganglion cells and evaluates current and emerging treatment approaches. Pharmacological therapies, such as idebenone and other quinone analogs, demonstrate limited but promising results in stabilizing early-stage vision …

Citizen-Centric Building Energy Retrofits: Understanding And Supporting Citizens As Occupants, Participants, Decision-Makers, And Learners In Home Energy Retrofits, Nikhil Singh Yaduvanshi

Civil Engineering Dissertations - Archive

Residential building retrofits remain significantly under-adopted despite substantial technological advances, economic incentives, and policy efforts, creating a critical gap between technical potential and actual implementation in achieving climate goals. Assessment of citizen involvement in building retrofit processes plays a critical role in formulating effective home retrofit program designs to ensure maximum adoption rates and avoid energy waste. Although, existing retrofit programs and decision-making models recognize the importance of citizen involvement, the extent of citizen capabilities and the effects of citizen-centered approaches on retrofit adoption and building performance has not been comprehensively examined. The adoption and success of retrofit programs depends …

Assessment Of The Feasibility Of Utilizing Plastic Waste In Infrastructure To Promote Circular Economy In Bangladesh, Md Lutfor Rahman

Civil Engineering Dissertations - Archive

This study presents a comprehensive assessment of municipal solid waste (MSW) and plastic waste characterization across Bangladesh, with a focus on circular economy opportunities and the long-term economic viability of plastic road. Using on-site waste characterization data for 13 major cities from four geographic zones of Bangladesh —Northwest, Northeast, Southwest, and Southeast—the research identifies food waste as the dominant component of the national waste stream (67.3%), followed by plastic (12.4%), textiles (7.8%), and paper (4.7%). Among plastics, low-density polyethylene (LDPE) overwhelmingly dominates (89.7%), highlighting the continued prevalence of single-use flexible plastics.

A life cycle cost analysis (LCCA) was conducted comparing …

Implementation And Performance Evaluation Of Plastic Road Mix Design In Parking Lot, Ishraq Faruk

Civil Engineering Dissertations - Archive

The uncontrolled proliferation of plastic waste has emerged as a global environmental crisis, with high-density polyethylene (HDPE) constituting a substantial fraction of the waste stream due to its extensive use in packaging and its resistance to degradation. In parallel, asphalt pavements particularly in urban infrastructure such as parking lots experience accelerated deterioration from raveling, rutting, and cracking as a result of thermal cycling, repetitive loading, and inadequate drainage. These converging challenges present an opportunity for innovative, circular-economy-based sustainable pavement technologies that simultaneously improve surface durability and mitigate plastic waste accumulation.

This research investigates the full-scale implementation and monitoring of HDPE …

Transforming Lives For Eternity: 2024-2025 Year End Summary, Southern Adventist University

Strategic Plans

Southern Adventist University's Strategic Plan Year End Summary for the year 2024-2025.

Deep Learning For Irish Garden Bird Identification: Exploring The Role Of Cnn-Lstm In Video-Based Recognition, Antonina Dolynenko

ICT

Bird populations are widely used as indicators of ecosystem health, but traditional monitoring based on manual observation is labour-intensive and difficult to scale. Recent advances in deep learning and low-cost edge hardware offer new opportunities for automated, real-time bird identification in gardens and other local habitats. This thesis investigates whether video-based deep learning models can reliably classify common Irish garden birds from short motion-triggered clips and how temporal modelling compares to image-based models.

A primary dataset of 20-second clips was collected in a private garden in Ireland using a Raspberry Pi with a high-resolution camera and a YOLO-based trigger to …

A Comparative Analysis Of The Performance Of Customised And Pre-Trained Convolutional Neural Networks In The Classification Of Facial Expressions., Guilherme Soares Da Costa

ICT

Facial expression recognition (FER) is a highly relevant problem in the field of computer vision, with applications in various areas. Although this topic has made significant progress in recent years with deep learning, facial expression recognition continues to face significant challenges when faced with a noisy, imbalanced database, and low-resolution images, as is the case with the widely used FER2013 database. This work investigates the usability of different approaches based on Convolutional Neural Networks (CNNs) for the task of facial expression classification.

First, a custom CNN was developed and trained from scratch, using FER2013 as database. Subsequently, three well-known pre-trained …

Exogenous Variables In Time Series Forecasting During Economic Volatility: A Cross-Sector And Cross-Crisis Evaluation., Orla Kavanagh

ICT

Economic disruptions pose challenges for time series forecasting, but also offer opportunities to evaluate the value of exogenous information. This study investigates the role of external indicators during the COVID-19 pandemic and the 2025 U.S. tariff shock, using data from Dell (technology) and Boeing (aerospace/manufacturing). ARIMA, SARIMA, and LSTM models were tested with candidate exogenous variables. Results indicate that the benefit of external signals is highly context-dependent: sector, disruption type, and forecast horizon all influence effectiveness. LSTM models generally excel at longer horizons with exogenous inputs, while ARIMA-based models perform better short-term. Findings emphasize that careful variable selection, ongoing evaluation, …

Understanding Model Behaviour And Interpretability In Time Series Forecasting: A Deep Dive Into Lstm And Gru With Xai Techniques., Federico Ariton

ICT

Time-series forecasting is widely used in data analytics, yet the interpretability of deep learning models remains a key challenge. This study compares Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) models using a dual interpretability framework that combines attention mechanisms and SHAP analysis. Two feature sets were evaluated across assets with different volatility regimes: Solana and Shiba Inu (high volatility), Bitcoin (moderate volatility), and Apple (low volatility). Results show that autoregressive features achieved the lowest forecasting errors, while volatility- and momentum-based indicators provided stronger interpretability. GRU performed best in moderate-volatility conditions, whereas LSTM demonstrated more consistent performance across varying …

Blood Flow Restriction, Tendon Hypertrophy, And Strength Gain In The Biceps Brachii, Tonya M. Parker, Samuel Corbin, Matthew R. Feeback, Bailey Wilks, Andrew Lowe, Noelle Kaminski

Open Access Publishing Support Funded Articles

Introduction: Blood flow restriction (BFR) can improve muscular strength under lower loads versus traditional resistance training. Little research has been completed on the upper extremity and almost no targeted research on BFR and the tendon. Therefore, we aim to investigate the effects of BFR on the biceps brachii muscle and tendon compared to traditional resistance training.

Methods: Randomized controlled trial of healthy participants over seven weeks of completing bicep curls. Participants were randomly allocated to the BFR or control group (C). Ultrasound measurement of the tendon occurred at baseline, midpoint, and completion of study, while adjusted one repetition maximum (Adj1RM) …

Simulación Clínica En La Formación De Psicólogos Organizaciones: Burnout Y Acoso Laboral, Patricia Vizuete Escobar, Sara Uceda Gutiérrez, Esther Martínez Miguel, Irene Morueco Moreno

Capítulos de libros

No abstract provided.

Enhancing Fake News And Rumor Detection Using Metadata, Context, And User Interaction With A Hybrid Gcn-Transformer., Lucas Romulo Zuin Gigli

ICT

The increasing influence of social media has significantly impacted how news spreads among users, making the detection of misinformation, including fake news and rumours, a critical task. Previous research has explored content-based and metadata-driven approaches, while recent advancements have leveraged Graph Neural Networks (GNNs) such as GCNs, GATs, and SAGE to analyse user interactions and propagation patterns. This thesis investigates the effectiveness of a Hybrid Graph-Transformer Convolutional Neural Network (GCN-Transformer) for fake news detection, combining graph-based learning with Transformer attention mechanisms. Through in-depth data analysis and advanced detection techniques, this model aims to enhance predictive performance and mitigate the spread …