Digital Commons Network^™

Attention Deficits & The Biological Foundations Of Effective Learning Strategies, Matthew Scribner

Celebrating Scholarship and Creativity Day (2018-)

This capstone project will conduct a focused literature review on learning strategies for individuals with Attention Deficits Disorders. The project will explore various study strategies and modifications that have been found effective in improving learning outcomes for individuals with ADHD. Specifically, the project will delve into the neurobiological mechanisms underlying ADHD, focusing on how impairments in attention, executive function, and working memory might affect learning. It will also explore how specific modifications to study techniques can help mitigate these challenges and enhance learning outcomes. My interest in this topic stems from both my academic background as a teaching assistant in …

Performance Optimization Of A 1:10 Scale Radio-Controlled Car Through Aerodynamic And Mechanical Enhancements, George Kerner

Celebrating Scholarship and Creativity Day (2018-)

Changes in the performance of a 1/10 scale radio-controlled car due to various mechanical and aerodynamic modifications were investigated. The car’s mechanical performance was evaluated by measuring lap times on custom figure-eight and oval tracks to assess handling. A straight 60-foot track was used to measure acceleration times. Mechanical modifications included a low-center-of-gravity chassis, a higher power motor, and wider street tires to optimize suspension, drivetrain, and grip. Aerodynamic enhancements included the integration of front and rear spoilers, a diffuser, and an undertray all designed using Autodesk Fusion. All aerodynamic components were 3D printed and mounted to the vehicle for …

Positive Impact Of Mangroves On Periwinkle Snail (Littoraria Angulifera) Population Size, Anna Jones, Eva Kolbow, Lucy Petschel, Morgan Stone

Celebrating Scholarship and Creativity Day (2018-)

Mangroves play a crucial role as shoreline aquatic nurseries and provide infrastructure along bodies of water to protect inland areas from extreme weather and storm surges. Mangroves also provide a secure habitat for animals, and trap and filter pollutants. Their stilt roots provide shelter for fish species and are critical to the survival of many small species that use this ecosystem. We investigated mangrove periwinkle snail populations on the red mangrove species (Rhizophora mangle). Data was collected along Pigeon Creek, San Salvador Island, Bahamas in March 2025. We hypothesized that there is a relationship between mangrove density and snail population …

The Effect Of Anthropogenic Sound On Foraging Behavior In Bluegill Sunfish (Lepomis Macrochirus), Dayna Wiley

Celebrating Scholarship and Creativity Day (2018-)

Anthropogenic noise can have adverse effects on fish populations. High-amplitude noise can cause hearing damage and interfere with essential behaviors, including feeding, migration, and reproduction. Studies suggest that fish regularly exposed to boat noise in lakes exhibit different behavioral responses compared to populations in quieter environments. Bluegill sunfish (Lepomis macrochirus) were collected via angling from a “Quiet Lake” (Lake Sagatagan, Collegeville, MN) with no motor use, and a “Loud Lake” (Upper Spunk Lake, Avon, MN) with frequent motor use. Bluegill foraging behavior was examined in response to daily playback of motorboat traffic. Bluegill (n = 5 individuals per trial; n …

Understanding The Need For Gender Inclusiveness: A Case Study In Kolkata, India, Nilasree Dutta

All-Inclusive List of Electronic Theses and Dissertations

The research focuses on examining the status of women in the selected Wards of Kolkata, India: Ward 59, 64, 65, 66, and 69. Three indicators are used to evaluate the status of women: education, nutrition, and religion. Data for this study was collected with the help of a Kolkata-based Non-Governmental Organization (NGO) named Ek Tara. A complete questionnaire with open-ended and closed-ended questions was followed to conduct the survey. 353 households were interviewed to obtain the data. Several statistical analyses have been conducted using STATA software to address research hypotheses. To assess the nutritional status of women, hand grip strength …

Faculty Perception Of Lean Thinking In Higher Education, Mikhail Shilov

All-Inclusive List of Electronic Theses and Dissertations

There are many challenges that higher education institutions (HEI) are facing that include rising cost of education, reduction in student population, competition from other universities and alternative educational platforms, as well as reduction in public confidence. To stay competitive, HEIs could utilize performance improvement methods that have been proven to be advantageous in manufacturing and other industries, and one of these methodologies is Lean. Application of Lean in higher education is still in the early stages of development, the methods have been mostly used to improve administrative processes, but not as much in the core educational processes, teaching and research. …

Examination Of The Relationships Between Religious Or Atheistic Belief Certainty And Mental Health Outcomes, Christopher S. Percifield

All-Inclusive List of Electronic Theses and Dissertations

Perceived meaning in life is considered to be an outcome of one’s efforts to create and sustain a sense of subjective understanding and purpose in the world. Meaning-making researchers have historically emphasized the role of religious worldviews as fundamental structures through which meaning-making attempts can be guided. Often, researchers have suggested that religious beliefs offer unique benefits for physical and psychological well-being for religious believers compared to non-believers. Archival data was analyzed across two separate waves, and significant correlates of aspects of meaning in life, belief certainty, and psychological well-being were identified. Perceived meaning and peace and mitigation of lapses …

After The Game: Comparing Career-Readiness Attitudes Between First-Generation And Continuing-Generation Student-Athletes, Heidi J. Robinson

All-Inclusive List of Electronic Theses and Dissertations

Successfully transitioning from college to a career requires skills, experience, and knowledge. Specific student populations face increased challenges in accessing campus career resources that promote readiness for post-graduate employment. Among these vulnerable populations are student athletes and first-generation college students. While both student groups stand to gain increased professional success because of their college experiences, college-to-career barriers are well-documented. These challenges include access to and awareness of career-readiness resources, and career preparation and exploration opportunities. More information about the career readiness of an adjacent student group, first-generation student athletes, is needed. Students who experience the intersectionality of being both a …

Applause, Anonymous

Touche Ross Publications

No abstract provided.

From Volunteer To Member Of The Church Body: How Meaningfulness, Self-Regulation, And Fairness Relate To Giving Of Time And Treasure, Billy J. Johnson

Doctoral Dissertations and Projects

Churches rely almost exclusively on volunteers and committed members to fulfill their mission. With decreasing engagement and financial support among churchgoers, there is a need to understand what motivates volunteers to give their time and resources. This nonexperimental quantitative correlational study examined the relationships between church volunteers’ self-regulation, perceptions of meaningfulness, and fairness, with their reported level of internalization of the local church’s mission, evidenced by their giving behaviors. Utilizing data collected from 86 church volunteers on self-report measures, all validated from previous research and adapted to church context, correlational analyses showed no significant relationship between giving of time and …

Effects Of Domestic Violence On Third-Grade Students' Academic And Behavioral Performance, Leah N. Gordone

Doctoral Dissertations and Projects

The purpose of this quantitative, causal-comparative study was to investigate the relationship between witnessing domestic violence and third-grade students' academic performance and behavioral conduct, with a focus on gender differences. Additionally, the study explored the connection between exposure to domestic violence and English Language Arts achievement. The research involved 280 third-grade students and parents at the Boys & Girls Clubs of America in southwestern Georgia. Participants were part of social-emotional learning programs. Data collection included parent observation surveys, end-of-grade test scores (using the Georgia Milestones End-of-Grade assessment), and a child survey (the Violence Exposure Scale for Children – Revised). The …

Profilicity And Self-Identity: Finding One’S Authentic Self Within A Social Media-Filtered World, Stacey Renee Meads

Doctoral Dissertations and Projects

This phenomenological qualitative case study explored how young Christian adults construct their identities when influenced by external factors such as social media using the theoretical framework of profilicity. The study took place in Philadelphia, Pennsylvania. The location was a church setting, the mainstay of the youth adult group activities, and the site was approved to conduct the case study. The participant group was the young adult group. The church is the mainstay for all the participants. Designated rooms were identified to permit anonymity and confidentiality. No other meetings or church activities were scheduled during the allotted times for this case …

Culturally Responsive Trauma Informed Care: Understanding The Lived Experiences Of Black Young Adult Military Connected Dependents With The Military's Child And Adolescent Behavioral Health Service, Chenille Renee Johnson

Doctoral Dissertations and Projects

The purpose of this transcendental phenomenological study is to understand the lived experiences of Black young adult military-connected dependents and their involvement with the military’s child and adolescent behavioral health service while growing up in the military. This study is steered by resiliency and understanding of culturally competent and trauma-informed care. In this study participants will be chosen by utilizing criterion sampling which will allow participants to be selected based on specified criteria of identifying as Black, growing up in the military lifestyle, having a parent in the military while they were under the age of 18, and having encounters …

Exploring Teachers' Experiences Developing Adaptive Learning Systems With High-Stakes Testing Requirements: A Transcendental Phenomenological Study, Brian J. Le Fevre

Doctoral Dissertations and Projects

The theory that guided this study was Bandura’s self-efficacy theory, which was utilized to relate to teachers’ beliefs about engaging in behaviors influenced by high-stakes testing. A transcendental methodology was used for the study design as the study aimed to explore teachers’ shared experiences while bracketing my previous experiences. The sample population consisted of second- to sixth-grade teachers who instructed subjects who were assessed by high-stakes testing in the Southeastern United States. Data was collected using interviews, focus groups, and journal prompt responses. Following data collection, the data was coded and analyzed to develop the essence of the shared experiences …

Evaluating Faults Detection And Their Impact On Photovoltaic (Pv) Modules, Mohammad Ahmed Almasoum

Theses

Photovoltaic (PV) modules are critical to the transition toward renewable energy, offering a sustainable solution for global power generation. However, faults in PV modules significantly reduce energy output, increase maintenance costs, and compromise system reliability. Traditional fault detection methods, while useful, often lack the precision and efficiency required for real-time applications, leading to prolonged downtime and revenue losses. Machine learning (ML) offers a promising approach for detecting and classifying faults in PV modules with greater accuracy and speed. This study evaluates fault detection techniques in PV modules and their impact on operational efficiency, focusing on machine learning-based classification models. A …

Through Legitimate Dissent, The Supreme Court Repairs Itself, Afnaan A. Qureshi

Theses

The decisions of the Supreme Court of the United States, along with its reasoning, influence the direction and scope of historical events. Through an analysis of landmark dissents from four of the worst Supreme Court decisions, Curtis’ dissent in Dred Scott v. Sandford (1857), Harlan’s dissent in Plessy v. Ferguson (1896), Holmes’ dissent in Abrams v. United States (1919), and Murphy’s dissent in Korematsu v. United States (1944), we can take steps towards catalyzing its self repair by stepping away from digital echo chambers and engaging in legitimate dissent. The four cases marked turning points in the efforts to protect …

Glue Laminated Timber: A New Way Of Framing The Residential Architecture Of Upstate New York To Improve Thermal Performance & Energy Use Intensity, Griffin Jones

Theses

This thesis addresses the issue present within the current construction techniques for the residential architecture of Upstate New York. Modern platform framing has long been the dominant fashion for constructing homes in the United States, however the nature of this construction is instilled with the issue of thermal bridging, where the wood studs and structure allow heat to escape due to gaps in the continuous insulation. This study proposed a new way of framing residential architecture for the upstate region of New York, relying on glue-laminated timber (GLT) to replace dimensional sawn lumber. GLT has increased structural strength and stability …

Resonating Patterns: Adaptive Resonance Theory And Self-Organizing Maps, Meeti Dixit

Theses

Adaptive Resonance Theory (ART) represents a powerful neural network architecture designed to address the stability-plasticity dilemma. Its primary objective is to enable rapid learning without compromising retention. ART embodies characteristics of self-organization and self-stabilization, distinguishing it from traditional neural networks. Unlike error-based learning prevalent in conventional models, ART employs competitive learning mechanisms. One of the distinguishing features of ART is its involvement in hypothesis testing, a departure from the approach of deep learning. This capability allows ART to learn dynamically in real-time environments. Over time, various ART models have emerged that cater to different types of data, such as binary …

Enhancing Influence Estimation In Gradient Boosted Decision Trees Through Hierarchical Analysis, Anurag Choubey

Theses

This report presents a novel influence function for gradient-boosted decision trees (GBDTs), a widely-used class of predictive models. Influence estimation aims to quantify how individual training samples affect a model’s predictions, offering valuable insights for model debugging, data quality analysis, and in- terpretability. Existing influence functions for GBDTs—such as LeafInfluence, LeafInfluenceSP, and BoostIn—have shown varying degrees of success, with BoostIn currently recognized as the state-of-the-art in terms of estimation quality and computational efficiency. In this work, we propose BoostInLCA, a new influence function that extends BoostIn by incorporating information from non-leaf nodes via the Lowest Common Ancestor (LCA) path, thereby …

Beyond The Badge: Predicting Military Employee Attrition In The Police Force, Alia Abdulla Alhajji

Theses

This study explores the issue of employee attrition within the military police force, with a focus on predicting which employees are at risk of leaving. Attrition in law enforcement is costly and disruptive, especially in roles that require long training periods and operational readiness. The research specifically targets the internal organizational factors influencing turnover in military police environments and aims to leverage machine learning models to support the early identification of high-risk individuals. Guided by the CRISP-DM framework, the study followed a structured process across six stages: business understanding, data exploration, preparation, modeling, evaluation, and insight generation. A simulated dataset …

Under The Mask: Labeling And Self-Perception In Augmented Reality, Ruiyuan Guo

Theses

Under the Mask is a speculative AR experience that critically explores how social labels shape both perception and self-perception in everyday life. The project reimagines augmented reality not as a technological novelty, but as a conceptual mirror—a way to visualize how identity is continuously negotiated in social space. Users interact with two distinct labeling functions: when they assign a tag to themselves, it becomes visible to everyone, symbolizing the ways in which self-identification enters public discourse. In contrast, when users label others, those tags remain private—visible only to the individual user—highlighting how our assumptions primarily influence our own vision, not …

Classification Of Linear Systems Of Equations For Quantum Computing Implementation, Mark Danza

Theses

Drawing nearer to an error-corrected era of quantum computing, it is necessary to understand the suitability of certain post-NISQ algorithms for practical problems. One of the most promising, applicable, and yet difficult to implement in practical terms is the Harrow, Hassidim and Lloyd (HHL) algorithm for linear systems of equations. An enormous number of problems can be expressed as linear systems of equations, from machine learning to fluid dynamics to electrical circuit analysis. However, in most cases, HHL will not be able to provide a practical, reasonable solution to these problems. This work seeks to determine whether problems can be …

Instrapix – An Image-Based Digital Audio Workstation Design, Dan Qiao

Theses

InstraPix, a UI project designed by Dan Qiao, is groundbreaking image-and-audio conversion software and a digital audio workstation (DAW). enables bidirectional conversion between images and sound, opening new creative possibilities. With powerful image processing tools, it allows users to directly use pictures as audio sources, shaping unique sonic compositions. InstraPix also supports sound presets, VST plugins, and note editing, allowing seamless integration with other instruments. This all-in-one audio workstation could mark the beginning of a new era where music can be created entirely from images. Assigning images significant importance in audio production and minimizing the middle steps, it breaks the …

Meaningfulness As An Avenue To Eudaimonic Well-Being In Remote Workers, Ashley Hofflander

Doctoral Dissertations and Projects

This quantitative study examined the relationship between the perception of meaningful work (MW) and eudaimonic well-being (EW) in remote workers, its predictive capacity, and the mediating roles of autonomy, competence, and relatedness. Using the Work and Meaning Inventory (Steger et al., 2012), the Psychological Well-Being Scale (Ryff, 1989), and the Basic Psychological Needs at Work Scale (Ryan & Deci, 2000), data was collected and analyzed through Pearson correlation, simple regression, and mediation analysis using the PROCESS macro for SPSS. Results revealed a significant positive relationship between MW and EW (r = .56, p < .001), with MW significantly predicting EW (R² = .316, F(1,113) = 52.23, p < .001). Competence was found to mediate this relationship (β = .625, p < .001), while autonomy (β = .481, p = .425) and relatedness (β = .454, p = .274) did not demonstrate significant mediation effects. The study extends Ryff’s Psychological Well-Being Model and Self-Determination Theory by emphasizing competence as a key mediator in remote work settings. Practically, the findings highlight the importance of fostering MW through purpose-driven job design and providing remote workers with the necessary training, resources, and feedback to enhance competence and improve well-being.

Spectator 2025-05-01, Editors Of The Spectator

The Spectator

No abstract provided.

Illinois State University, One Hundred And Sixty-Sixth Annual Commencement, May 2025, Illinois State University

Commencement Programs

Illinois State University

One Hundred and Sixty-Sixth Annual Commencement

May 2025

Evidence For Distal Bolide Impact And Tsunami Deposits In The Upper Atlantic Coastal Plain Of Moore County (North Carolina, Usa) Generated By The Eocene Chesapeake Bay Bolide Impact, G. Robert Ganis, Ralph H. Willoughby, David J. Cicimurri, G. Richard Whittecar, Steven J. Hageman

OES Faculty Publications

Beds interpreted as Eocene bolide-generated impact and tsunami deposits occur at Paint Hill in the Upper Atlantic Coastal Plain of Moore County, North Carolina, USA. These strata, herein named the Mount Helicon Formation, consist of four distinct beds comprising about one meter of total section. Bed 1 (the basal bed) is approximately 43 cm thick and consists of sandy carbonaceous clay with carbon glass and rock fragments and contains 14-18 parts per billion (ppb) iridium (interpreted as bolide impact ejecta). Bed 2 is approximately 9 cm thick and consists of non-cohesive silt-size particles and loosely bound sand-size accretionary lapilli-like masses …

Intellimad: A Framework For Secure Machine Learning Models Evaluation And Fine-Tuning In Federated Setting, Dmitrii Korobeinikov

Theses

In contemporary artificial intelligence (AI) appli- cations, Machine Learning (ML) models are core components enabling AI-driven functionalities, yet selecting and fine-tuning a model and its hyperparameters remains challenging. ML model architecture, as well as key model training parameters, such as the number of training epochs, batch size, and learning rate, are highly dependent on both the dataset modalities and the specific task resolved in a particular application. More sophisticated execution setups may require determination of additional environment-related parameters, such as identifica- tion of computational capabilities required for execution of a particular AI-driven task, or discovery and establishment of desired security-related …

Back To The Basics: Extracellular Protein Interaction Networks Of The Human Infant Immune System, Mavis Amity Irwin

Theses

Datamining without an age filter proves challenging, especially when searching for direct data from human infants. Although online databases provide immune interaction networks, they often lack information about the age of data sources, resulting in categorizations as age-unspecified. This limitation underrepresents the physiology of naïve immune systems in infants, particularly since full-term infant immunity transitions to an adult-like phenotype between 24 and 30 months of age. This study aims to reconstruct an age-specific immune interaction network for full-term infants by integrating literature-based evidence with existing online database content. A list of 60 extracellular protein candidates involved in immune responses was …

Developing Meld-Accelerated Molecular Dynamics Protocols To Simulate The Binding Of The P53-Derived Ligand To The Mdm-2, X Protein, Maria Ciko

Theses

In this study, we focus on developing computational methods to predict protein-ligand binding affinities, with applications in peptide drug discovery. Molecular Dynamics (MD) simulations can capture the complex conformational behavior of proteins, but their high computational cost limits their efficiency. MELD, or Modeling Employing Limited Data, is a Bayesian approach that integrates external information to accelerate sampling of low- energy, high-probability conformations. Building on previous work by Morrone et al., which successfully applied MELD to P53-MDM2 complexes, we hypothesize that we can effectively compute the relative binding affinities while reducing steric clashes and mitigating the effect of slowed diffusion on …