Digital Commons Network^™

The Lens Of Farmers: Understanding Culture To Improve Occupational Therapy Care, Allison Marie Stephani

Occupational Therapy Capstones

Introduction: Accessible healthcare is essential for farmers due to their limited available time and hazardous job duties (Hildebrand et al., 2019; Hopkins et al., 2023; Salmon et al., 2025; U.S. Department of Agriculture, 2023). Due to the high incidence of injuries that occur within the profession, it is crucial that farmers seek appropriate healthcare services to address these concerns. However, a significant barrier for seeking healthcare assistance is the limited cultural competence among healthcare professionals in understanding the unique needs within farming communities (Gordon et al., 2024; Hildebrand et al., 2019; Hopkins et al., 2023; Purc-Stephenson et al., 2024). The …

Future Mining: Learning For Safety And Security, Md Sazedur Rahman, Mizanur Rahman Jewel, Sanjay Madria

Computer Science Faculty Research & Creative Works

Mining industry is rapidly transforming into an AI-driven cyber-physical ecosystem where safety and operational reliability depend on robust perception, resilient communication, trustworthy distributed intelligence and continuous monitoring of miners and equipment. Real-world mining environments impose severe constraints like poor illumination, dust, occlusion, GPS-denied conditions, irregular underground topologies, and intermittent connectivity. These factors degrade perception quality, disrupt situational awareness, impair trajectory prediction and weaken the reliability of distributed learning systems. Emerging cyber-physical threats, including backdoor triggers, sensor spoofing, label-flip attacks and poisoned model updates, further jeopardize operational safety, particularly as mines increasingly adopt autonomous vehicles, humanoid assistance, and federated learning for …

Dynamic Hub-Aware Knowledge Distillation For Efficient Traffic Flow Forecasting, Xiangjie Kong, Can Shu, Wenchao Weng, Zhenzhen Zhao, Guojiang Shen, Lei Wang, Sajal K. Das

Computer Science Faculty Research & Creative Works

Real-time traffic forecasting acts as a critical enabling service for IoT-driven Intelligent Transportation Systems (ITS). While existing Spatiotemporal Graph Neural Networks (STGNNs) achieve superior forecasting accuracy, their intensive computational complexity and high latency create a deployment bottleneck for resource-constrained IoT edge devices. To address this resource-accuracy mismatch, we propose a novel framework termed Dynamic Hub-Aware Knowledge Distillation (DHKD). Unlike traditional uniform distillation paradigms, DHKD introduces a topology-aware strategy to transfer knowledge from a complex teacher to a lightweight Spatiotemporal Multi-Layer Perceptron (STMLP) student model. Specifically, we design a dynamic hub-aware gating (DHAG) mechanism that adaptively identifies time-varying pivotal sensing nodes …

Digital Twin Freshness Maximization In Edge Computing, Jing Li, Jianping Wang, Weifa Liang, Quan Chen, Sajal K. Das, Xiaohua Jia

Computer Science Faculty Research & Creative Works

Mobile Edge Computing (MEC) shifts powerful computing resource provisioning from remote powerful data centers to the edge of core networks. Meanwhile, Digital Twin (DT) has surfaced as a promising technology to provide comprehensive and dynamic descriptions of physical objects in cyberspace with bidirectional and real-time interactions. Moreover, Internet of Things (IoT) devices have contributed abundant, heterogeneous and continuous data from interconnected devices to the explosion of DTs. With technologies evolution, there is an increasing necessity to address the freshness of both DT states and DT data, through timely synchronizations between DTs and their objects in a highly dynamic IoT environment. …

Feddot: Defending Federated Learning Against Overwhelming Targeted Attacks, Priyesh Ranjan, Ashish Gupta, Federico Coro, Sajal K. Das

Computer Science Faculty Research & Creative Works

Federated Learning (FL), which facilitates collaborative model training and protects users' privacy, has drawn great interest from the research community. With FL, participants train their models on local data and submit the corresponding updates for aggregation to a server. While concealing the identities of the participants, FL may attract adversaries in order to hamper the underlying model. In this paper, we propose an FL framework, FedDOT, to defend against adversaries performing targeted attacks. FedDOT incorporates two powerful defense algorithms, Maximum Spanning Tree based attacker detection (MSTAD) and Densest graph-based attacker detection (Density-AD), which leverage correlation between weight updates and graph …

Utility-Preserving Federated Graph Learning With Dual-Perspective Fairness, Renqiang Luo, Huafei Huang, Shuo Yu, Fengqi Yu, Feng Xia, Sajal K. Das, Chengqi Zhang

Computer Science Faculty Research & Creative Works

Fairness-aware federated graph neural networks (FedGNNs) necessitate consideration of both the server and the clients. However, fairness-aware methods struggle to enhance dual-perspective (i.e., server and clients) fairness without sacrificing utility due to the distributed learning framework. As a consequence, the utility sacrifices of fairness-aware graph learning methods are even exacerbated in federated frameworks. In this work we propose F3GL, a dual-perspective fairness federated graph learning method that enhances both global (for the server) and local fairness (for clients) while preserving utility. Through theoretical analysis, we delineate the similarity between original sensitive features and those after convolution under different spectra. Our …

Escher: Efficient And Scalable Hypergraph Evolution Representation With Application To Triad Counting, S. M. Shovan, Arindam Khanda, Sanjukta Bhowmick, Sajal K. Das

Computer Science Faculty Research & Creative Works

Higher-order interactions beyond pairwise relationships in large complex networks are often modeled as hypergraphs. Analyzing hypergraph properties such as triad counts is essential, as hypergraphs can reveal intricate group interaction patterns that conventional graphs fail to capture. In realworld scenarios, these networks are often large and dynamic, introducing significant computational challenges. Due to the absence of specialized software packages and data structures, the analysis of large dynamic hypergraphs remains largely unexplored. Motivated by this gap, we propose ESCHER, a GPU-centric parallel data structure for Efficient and Scalable Hypergraph Evolution Representation, designed to manage largescale hypergraph dynamics efficiently. We also design …

(2026) Desegregating The Community Of Inquiry In Philosophy For / With Children: A Dialogue On Racism, Maughn Rollins Gregory, Darren Chetty

Collected Papers of Maughn Rollins Gregory

This dialogical article examines persistent challenges in engaging racism, colonialism, and white supremacy within the theory and practice of Philosophy for/with Children (P4/wC). Framed as a mutual interview between two long-standing colleagues, the dialogue revisits formative encounters in the P4/wC community and situates them within broader intellectual traditions, including American pragmatism, deliberative democracy, and Africana philosophy. Drawing on personal experience, archival material, and critical scholarship, the authors interrogate the metaphilosophical assumptions underpinning the “community of inquiry,” particularly its commitments to reasonableness, consensus, and democratic dialogue. Concepts such as the “gated community of inquiry,” white ignorance, nonideal theory, and insurrectionist ethics …

(2026) Three Traditions Of Philosophical Dialogue, Maughn Rollins Gregory

Collected Papers of Maughn Rollins Gregory

This chapter distinguishes and interrelates three major traditions of philosophical dialogue: inquiry, political, and contemplative. Inquiry dialogue, exemplified by the “community of philosophical inquiry,” emphasizes collaborative reasoning aimed at forming the most reasonable judgments about contested concepts. Political dialogue, exemplified by the story circle, shifts the focus toward democratic transformation, highlighting how discourse is shaped by power, ideology, and the need for emancipatory critique and action. Contemplative dialogue, exemplified by lectio divina, foregrounds self-awareness, ethical disposition, and attentive presence as conditions for meaningful exchange. Across these traditions, dialogue is presented as a normative practice that simultaneously cultivates the self and …

To Kill And Let Suffer: The Incompatibility Of The Death Penalty And Medical Aid In Dying, And The Necessity For A Fundamental Right To Life, Nicholas Stackhouse

Dickinson Law Review (2017-Present)

Currently, the Supreme Court holds that the death penalty is constitutional and that a person has no right to Medical Aid in Dying, resulting in a legal environment in which a person can unwillingly be put to death while simultaneously having no ability to end their own life if terminally ill and in pain. The conclusion drawn from the Supreme Court’s decisions means that death row inmates who wish to end their lives have a greater right to die than law-abiding citizens. This state of affairs is untenable and contradictory to the founding principles of the United States. This Comment …

From Privacy To Profit: The Evolution Of Name, Image, And Likeness Rights And The Revolution In College Athletics Toward Collegiate Capitalism, Donald M. Remy

Dickinson Law Review (2017-Present)

The story of Name, Image, and Likeness (NIL) rights in American law is one of adaptation, transformation, and ultimately, revolution. What began as a modest recognition of personal dignity in the late 19th century has evolved into a multibillion-dollar framework that has fundamentally altered the landscape of college athletics. The journey from Samuel Warren and Louis Brandeis’s seminal articulation of the “right to be let alone” to the June 2025 approval of the House v. NCAA¹ settlement represents not merely a doctrinal evolution but a profound shift in how American society conceptualizes the relationship between identity, commerce, and fair …

Name, Image, Likeness And The Great American Pastime, Barbara Lauriat

Dickinson Law Review (2017-Present)

The ability of high-profile athletes to commercialize name, image, and likeness (NIL) rights is at the center of many current controversies about the future of college sports in the United States. This Article describes how what we call NIL protection— largely based on publicity rights doctrines developed in the mid-20th century—is historically recent, conceptually unstable, and insufficiently scrutinized, even though it now underwrites major entertainment markets in sports. Just as baseball is a sport particularly identified with the United States, there is also a peculiarly American approach to the protection of persona. Using baseball as the central case study, the …

Losing Your Driver’S License; Just What The Doctor Ordered?, Shawna Traver

Dickinson Law Review (2017-Present)

Having a medical scare or living with a chronic medical condition is a common experience for many people in the United States. But should you go to a doctor in Pennsylvania and tell them of your condition or experience, a little-known law may force the doctor to report you to the Pennsylvania Department of Transportation— without your knowledge. Once the report is received, the Department can recall your license. You can attempt to restore your license by attending a hearing, though you are fighting an uphill battle. Essentially, Pennsylvania drivers may be blindsided by a license recall merely because they …

Reimagining Emily Dickinson And Rupi Kaur’S Techniques For A Contemporary Creative Portfolio, Julia S. Gearing

ENG 490 Senior Seminar Capstone

This thesis combines literary analysis and creative practice to examine how notorious poet Emily Dickinson and up and coming Rupi Kaur have shaped the genre of poetry over time and can influence a novice writer, such as myself. Through close reading and analysis of Dickinson and Kaur’s work this thesis identifies key stylistic and thematic elements and uses my findings to influence original poetry, with the goal of experimenting and expanding upon the use of craft within my writing. This project demonstrates how critical analysis of other successful authors can inform creative expression and broaden the literary realm.

Neighborhood Deprivation Associated With Impaired Sit-To-Stand Performance In Middle-Aged And Older Adults: A Cross-Sectional Analysis With Clinical Implications, Kenneth Harrison, Silvia Campos-Vargas, Brandon M. Peoples, Keven G. Santamaria-Guzman, David T. Redden, Michael A. Samaan, Jaimie A. Roper

Kinesiology and Health Promotion Faculty Publications

Background: Socioeconomic factors significantly influence health outcomes in older adults, yet their impact on specific aspects of mobility remains unclear. This study investigates the relationship between area-level socioeconomic disadvantage and mobility health in older adults.

Methods: We conducted a cross-sectional study of 110 community-dwelling older adults recruited and collected using voluntary response sampling at eight health fairs across rural Southeast Alabama in 2022–2024 (60 ± 16 years, 80% female). Area-level socioeconomic status was measured using the Area Deprivation Index (ADI), a validated composite measure of neighborhood disadvantage. Mobility was assessed using the Instrumented Timed Up and Go (iTUG) test and …

Forward Chaining And Emotion Regulation: Exploring The Effects Of Forward Chaining On Emotion Regulation Skills, Celoine Akouri

Masters Essays

Emotion dysregulation places the quality of life for individuals with autism spectrum disorder (ASD) at risk. The current research on emotion regulation teaching strategies after emotion recognition training is limited. This study explored the effectiveness of forward chaining on teaching emotion regulation skills to an adult with ASD who engaged in a long history of self- injurious, property destruction, and screaming behaviors. The emotion regulation intervention used forward chaining procedures to teach a three-step sequence of behaviors to the participant in their adult day program setting using a multiple baseline across time design. The results showed that as the participant’s …

Horizontal Gene Transfer And Reciprocal Chimerism In Compactonostoc (Nostocales, Cyanobacteriophyta) With Evidence For Two New Species In The Genus., Daniel Al Fatayri

Masters Essays

The genus Nostoc has long been known to be polyphyletic, and recent taxonomic work has segregated several Nostoc-like lineages into new genera, including Compactonostoc. Until now, Compactonostoc shennongjiaensis was the only described species in the genus. In a survey of biological soil crusts from Santa Catalina Island (California, USA), we isolated two Nostoc- like strains that phylogenetically affiliate with Compactonostoc. A polyphasic approach based on morphology, 16S rRNA gene phylogeny, 16S–23S ITS secondary structure, and cloned ribosomal operons revealed that each strain harbors two highly divergent ribosomal operon types. One operon (Type 2) is closely related to C. shennongjiaensis and …

Guideline For A Burnout Bundle For Nurses In Psychiatric Mental Health Units, Festus Irabor

Doctor of Nursing Practice (DNP) Scholarly Projects - Archive

Abstract

Problem: Burnout among nurses, especially in psychiatric mental health units, significantly impacts both their well-being and the quality of patient care. Despite its severity, with approximately 30% of nurses worldwide affected and contributing to a 31.5% nurse turnover rate (Ge et al., 2023), there are limited formal guidelines specifically targeting nurse burnout prevention in the mental health setting. The issue is particularly acute in the United States, where 91.1% of psychiatric nurses report experiencing burnout, compared to 79.9% of other healthcare professionals (Anger et al., 2024). In the local unit 38.05% have experienced burnout.

Purpose: The PICOTS for this …

Iron Deficiency And Iron Deficiency Anemia: Inconsistent Screening Practices And Delayed Result Processing In Children 12-18 Months, Madonna J. Mahoney Marshall

Doctor of Nursing Practice (DNP) Scholarly Projects - Archive

Introduction:

Iron deficiency and iron deficiency anemia in children aged 12 to 18 months are prevalent conditions that, if not identified and treated early, are associated with adverse neurodevelopmental outcomes.

Purpose:

This quality improvement project evaluated the impact of a standardized screening and follow-up protocol on laboratory result retrieval, provider review, and caregiver follow-through in a military pediatric clinic.

Method:

A pre-post intervention design guided by the Plan-Do-Study-Act framework was implemented over 11 weeks and included staff education, standardized workflows, and caregiver outreach.

Results:

The intervention improved laboratory completion and caregiver follow-up rates; however, sustainability was limited by staffing constraints …

Caught In The Web: The Resolution Of The Internet Service Provider Contributory Copyright Infringement Split, Olivia F. Johnson

Cybaris®

No abstract provided.

Beyond Full Fine-Tuning: The New Playbook For Adapting Deep Neural Networks, Cristian S. Mcgee

Honors Undergraduate Theses

Fine-tuning is the process of teaching and specializing a pre-trained neural network on a downstream task. Fine-tuning is a rapidly growing topic in artificial intelligence domains; however, many fine-tuning endeavors are highly specialized without a coherent framework connecting them. This work presents a unified perspective on fine-tuning methods and performance metrics. Our perspective organizes the methods in terms of how they are applied to fine-tuning. This framework showcases methods that (i) update effective subspaces of the pre-trained model, (ii) change the adaptation optimization procedure, and (iii) alter the representations of the embedded input. Additionally, we present unconventional metrics such as …

Noninvasive Monitoring Techniques: The Use Of Scat-Sourced Dna And Camera Traps To Monitor Mammalian Carnivore Species At The Ucf Arboretum, Zachary Montealegre

Honors Undergraduate Theses

The 800-acre University of Central Florida Arboretum Natural Lands functions as a conservation area, recreational space, and research site, making it essential to understand the ecological community it supports. Traditional wildlife monitoring methods such as mark-recapture and blood sampling can be effective but may stress animals or disrupt natural behaviors. To minimize these impacts, this study used non-invasive techniques, specifically scat-based DNA analysis and camera trapping, to assess carnivore species' presence. Two ecologically similar sites within the Arboretum were selected. Suspected carnivore scat was collected twice weekly over two months using both structured and opportunistic sampling. DNA was extracted, amplified, …

On Bended Knee: A Legal Analysis Of Colin Kaepernick’S Grievance And The Broader Implications Of Activism In Professional Sports, Ayoka Smith

Student Works

No abstract provided.

A Mixed-Methods Cross-Cultural Analysis Of Trust, Parenting, And Well-Being Of Emerging Adults In The United States And Romania, Matthew Bucaloiu

Honors Theses

Trust is linked to emerging adults’ higher well-being. To our knowledge, few studies explore U.S. and Romanian emerging adults’ trust in others and their parents and their relationships to dimensions of parenting and well-being. This mixed-methods project examines cross-cultural differences and similarities in the relationships between trust, parenting dimensions, and well-being in two countries. With self-report quantitative data from 152 U.S. and 233 Romanian emerging adults, Study 1 found positive correlations between general trust dimensions, trust in mothers and fathers, parental care, and well-being, while psychological control was negatively correlated with trust and well-being. Multiple regression analyses revealed that for …

Constructing Descriptive Representation: A Study Of Contemporary Political Figures In The United States, Emma Zalewski

Honors Theses

Political representation in the United States depends not only on who the officeholders are, but on how they publicly perform identities such as gender, race, class, religion, and profession in ways that shape trust and legitimacy. Existing work on descriptive representation and performativity explains why shared identities matter, but it often treats identity too much like a fixed demographic category rather than a strategic and audience-sensitive rhetorical practice, leaving the question of how politicians actually deploy identity across different political settings unexplored. This project addresses that gap by showing that identity claims are best understood as deliberate performances that vary …

Un-Determining The Overdetermined Body: Anorexia Nervosa And Selfhood In What I Lost By Alexandra Ballard, Maddalena (Maddy) R. Grieco

Honors Theses

This thesis examines the intersection between young adult fiction and anorexia nervosa through the lens of Alexandra Ballard’s 2017 novel, What I Lost. The fictional space of the novel interacts with the larger trends of American culture and society, forming a connection between the external world and the protagonist’s personal experience with anorexia nervosa. Specifically, this thesis explores three external forces–the fashion industry, the transmission of generational ideals and habits, and the institutional recovery center–that are mapped onto the site of the female body, resulting in the expression of anorexia nervosa. The following chapters detail each external influence, respectively, …

Deep Learning Approaches For Voltammetric Analysis Of Coffee, Ryan Koes

Honors Theses

This thesis investigates deep learning approaches for voltammetric analysis of brewed coffee using a low-cost electrochemical system and screen-printed electrodes (SPEs). Traditional analytical methods, such as high-performance liquid chromatography (HPLC) and gas chromatography-mass spectrometry (GC-MS), provide precise quantification of key compounds but require expensive instrumentation and specialized expertise, limiting accessibility. While SPEs offer a more accessible alternative, they yielded poor results with traditional processing; however, when combined with a neural network, the system proved more effective. In experiments with 132 coffee samples, mean errors for caffeine, CGA, and TDS predictions were 52.98 ppm, 70.48 ppm, and 0.08%, respectively. These findings …

Sedimentology, Paleontology, And Depositional Environments Of The Upper Devonian Lock Haven Formation In West Burlington Quarry, North-Central Pa, Michael Harman

Honors Theses

The Upper Devonian Lock Haven Formation in north-central Pennsylvania preserves evidence of significant climactic and evolutionary transitions, including the fin-to-limb transition and initial arborescence. The formation contains abundant sedimentary features, palynomorphs, trace fossils, and fish body fossils, making it crucial for reconstructing these paleoenvironments. However, integrated studies on the Lock Haven Formation are rare. This study characterizes the depositional environments, ichnology, paleontology, and age of the Lock Haven Formation. A recent exposure at the Insinger-Ward West Burlington Quarry reveals three middle to early late Famennian lithofacies associations (FAs). FA1 consists of red sandstone, shale, and mudstone containing rhizoliths (deeply penetrating …

Origins Of Musical Preferences: Infants' Responses To Sung Vocal Timbre, Hayley Leopold

Honors Theses

Understanding the origins of aesthetic preferences remains an important question in psychology, particularly in domains such as music where both biological constraints and cultural learning play important roles. While adults exhibit consistent preferences for certain musical features, including aspects of vocal quality or timbre, it remains unclear whether these preferences reflect early-developing perceptual biases or emerge through experience. The present study addresses this question by adopting a developmental paradigm previously used in the visual domain to examine whether infants’ responses to music align with adult aesthetic evaluations.

Twenty three infants between 8 and 12 months of age participated in a …

Utilizing Computer Modeling To Optimize Electric Fields Within Xenon Time Projection Chambers, Miles Meloni

Honors Theses

XENONnT is a physics experiment designed with the goal of detecting dark matter particles. The detector is a time projection chamber; a series of charged electrodes creates an electric field, surrounding a central body filled with liquid and gaseous xenon. Photomultiplier tubes (PMTs), positioned on either end of the chamber, serve to detect light signals. We seek to minimize the root mean square of the electric field norms experienced by the PMTs. This quantity corresponds to the variance in the electric field observed by the PMTs. Establishing a consistent electric field is important to maintaining these sensitive components. The electric …