Digital Commons Network^™

Introduction Of Occupational Therapy Into A Suburban Supportive Housing Organization, Madeline Kuntz

Occupational Therapy Capstones

Abstract: Unhoused individuals experience compounded barriers beyond housing access and are often underserved within occupational therapy practice. This doctoral capstone project partnered with a nonprofit residential program to develop a research-informed onboarding manual grounded in the holistic occupational therapy framework, Model of Human Occupation (MOHO, O’Brien, 2017). The manual was designed to clarify expectations of the supportive housing program, address diverse resident needs, and promote independence as the organization expands. Development was informed by a comprehensive literature review and informal needs assessment of the organization, identifying anticipatory barriers and supports commonly experienced prior to program entry. Key areas of need …

Expanding Access To Hand Therapy In Rural Wyoming Through Telehealth, Cheyenne Rose Thompson

Occupational Therapy Capstones

Individuals living in rural Wyoming experience significant barriers to accessing specialized hand therapy services, including geographic isolation, limited availability of certified hand therapists, and inconsistent healthcare infrastructure, resulting in delayed rehabilitation and reduced functional outcomes (Hirth et al., 2022; Rural Health Information Hub, 2025). Although telehealth has emerged as a potential solution to improve access, challenges related to clinician training, safety, and adaptation of interventions to virtual environments persist (Feldhacker et al., 2022; Morris, 2024). The purpose of this scholarly project was to develop an evidence-based telehealth hand therapy program to improve access to upper extremity rehabilitation services in rural …

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 …

A Firm’S Operational Risk: Data Set And Empirical Evidence, Vivek Astvansh, Joseph J. Simpson

International Business and Entrepreneurship Faculty Publications

Problem definition: A firm’s stakeholders would benefit from a quantitative measure of the managerial disclosure of its operational risk and the implications of this disclosure. However, a quantitative and scalable measure of a firm’s disclosed operational risk is unavailable. Thus, the firm’s stakeholders remain unaware of its disclosed operational risk and the risk’s implications. Methodology/results: U.S. law requires a public firm to textually disclose its operational and nonoperational risks in Item 1A of its annual report (i.e., Form 10-K). We train 64 transformer models on U.S. public firms’ Item 1A text to score 131,920 firm-years (16,959 firms, 2005 to 2024) …

Making Words Count: Computational Linguistics In Management Research, Joseph J. Simpson, Richard A. Hunt, David M. Townsend, Judy Rady, Elham Asgari, Mohammad Rady, Daniel J. Beal

International Business and Entrepreneurship Faculty Publications

In recent years, a rapidly growing number of management scholars are using computational linguistics (CL) to analyze vast corpora of naturally occurring organizational language. Yet the rapid adoption of CL methods has outpaced the development of shared standards for linking theoretical constructs, linguistic data, and computational measurement. We synthesize 353 articles published in leading management journals for 2013–2025, identifying four recurring challenges shaping the credibility of CL-based research: misalignment between constructs and textual corpora, unnecessary model complexity, the opacity of large language model workflows, and insufficient transparency in reporting. Building on these patterns, we develop four integrative design principles—construct-language fit, …

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 …

Dollar Challenger? Cbdcs, Complexities, And Monetary Hegemony, Heng Wang

Research Collection Yong Pung How School Of Law

Digitalization is transforming the architecture of the international monetary system, reshaping how currencies function and financial infrastructures evolve. Among the significant developments are central bank digital currencies (CBDCs)—new digital forms of national currencies. While CBDCs promise benefits such as efficiency, they also generate relational, technological, legal, and governance complexities that would profoundly affect the global financial landscape. Against this backdrop, a compelling question arises: will CBDCs, particularly cross-border CBDCs, challenge U.S. dollar dominance?

To address this, this Article adopts a forward-looking approach to examine three interrelated crucial questions: what makes CBDCs complex? What governance complexity is likely to arise? Will …

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 …

(2026) Maughn Rollins Gregory Curriculum Vitae (Short Version), Maughn Rollins Gregory

Collected Papers of Maughn Rollins Gregory

No abstract provided.

(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 …

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 …

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.

Beyond Amateurism: The Evolving Role Of Sports Agents In The Nil Era, Madison Taylor

Student Works

No abstract provided.

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 …

A Comparison Of Using Token Economy With Differential Reinforcement Procedures In Increasing Compliance In Children With Autism, Jada Keyes

Masters Essays

Compliance, or engaging in an adult-delivered instruction, is a prerequisite skill for following daily routines in school-aged children. Noncompliance, engaging in any other behavior than the directed activity or task, is a common barrier among children with Autism Spectrum Disorder (ASD). Behavioral interventions, such as token economy and differential reinforcement, have been implemented to increase compliance among children with ASD. However, limited research has compared the effectiveness of combining token economy with different types of differential reinforcement interventions. Thus, this study compared the effects of using token economy with differential reinforcement of alternative behavior (DRA) versus differential reinforcement of other …

Comparative Analysis Of Serum-Free Culture Conditions On Cell Proliferation And Extracellular Vesicle Production By Adipose-Derived Stem Cells, Ayna Ghulldu

Honors Undergraduate Theses

Adipose-derived stem cells (ADSCs) are promising candidates in regenerative medicine due to their proliferative capacity, self-renewal, and secretion of extracellular vesicles (EVs) that mediate intercellular communication. Serum-free media has been increasingly explored for MSC culture as it eliminates xenogeneic components, improving human therapeutic suitability. However, comparative evaluation of distinct serum-free formulations on ADSC proliferation and EV output simultaneously remains limited. This study compares a serum-containing medium to three proprietary serum-free media prototypes differing in composition, including the presence or absence of extracellular matrix proteins, to inform the optimization of culture conditions for clinical use. Proliferation, EV characteristics, and gene expression …

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.

Examining The Results Of Revolutions In The Third World: A Case Study Of The Iranian, Libyan, And Nicaraguan Revolutions, Noah A. Mohammedelamien

Honors Undergraduate Theses

This thesis examines the post-revolutionary trajectories of Libya, Iran, and Nicaragua to explain why some Third World revolutionary projects preserve and use elements of their founding ideology while others fragment, personalize, or diffuse over time. Rather than focusing on the causes of revolution alone, it analyzes the durability of religious-socialist ideological continuity after revolutionary upheaval. Using a (MDSD) comparative historical and institutional approach grounded in primary and secondary sources, the study evaluates five key dimensions across the cases: religious-socialist ideological fusion, religious elite loyalty, popular religious mobilization, institutional embedding of ideology, and external pressure. The findings suggest ideological continuity is …

Are Courts Developing A Consistent Standard For Sanctioning Attorneys Who Misuse Genai In Legal Filings?, Natalia Borges

Honors Undergraduate Theses

This thesis examines whether Florida courts are developing an emerging statewide standard governing attorney use of generative artificial intelligence in litigation and whether this trend supports the need for formal statewide codification. This study addresses growing concerns about fabricated citations, unverified legal research, attorney sanctions, and inconsistent disclosure practices as generative artificial intelligence becomes integrated into legal drafting and research. This research reviews the Florida Rules regulating the Florida Bar, ethics guidance on generative AI, Florida procedural certification requirements, disciplinary actions, and administrative orders from Florida judicial circuits that require disclosure and verification of artificial intelligence use in court filings. …

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 …

A Web-Based Wizard-Of-Oz Platform For Collaborative And Reproducible Human-Robot Interaction Research, Sean O'Connor

Honors Theses

The Wizard-of-Oz (WoZ) technique is widely used in Human-Robot Interaction (HRI) research, but two persistent problems limit its effectiveness: existing tools impose technical barriers that exclude non-engineering domain experts (the Accessibility Problem), and the fragmented landscape of robot-specific implementations makes interaction scripts difficult to port across platforms (the Reproducibility Problem- concerning execution consistency and portability, not third-party replication). Through a literature review, I identified three design principles to address both: a hierarchical specification model, an event-driven execution model, and a plugin architecture that decouples experiment logic from robot-specific implementations. I realized these principles in HRIStudio, an open-source, web-based platform providing …