Digital Commons Network^™

Analysis Theories On Artificial Intelligence, Chatgpt, Data Science, And Metaverse: The Case Of Digital Medicine, Yin Yang, Xingyun Liu, Jorge Luis Cuyubamba Dominguez, Yuan Fang, Wen Xie, Bairong Shen, Keng Siau

Research Collection School Of Computing and Information Systems

Healthcare organizations are increasingly adopting digital technologies, with Artificial Intelligence (AI), Data Science, and the metaverse driving significant advancements in smart healthcare. Al facilitates personalized medicine and efficient drug development, while Data Science enables predictive analytics and big data management, enhancing patient outcomes and healthcare quality. The metaverse introduces immersive training and telemedicine platforms, revolutionizing patient engagement and healthcare research. This study conducts' a scoping review of 6,171 articles, analyzing the transformational impact of AI, ChatGPT, Data Science, and the metaverse on healthcare. It highlights the benefits and risks of these technologies, identifies research gaps in their application within the …

Towards Secure Program Partitioning For Smart Contracts With Llm’S In-Context Learning, Ye Liu, Yuqing Niu, Chengyan Ma, Ruidong Han, Wei Ma, Yi Li, Debin Gao, David Lo

Research Collection School Of Computing and Information Systems

Smart contracts are highly susceptible to manipulation attacks due to the leakage of sensitive information. Addressing manipulation vulnerabilities is particularly challenging because they stem from inherent data confidentiality issues rather than straightforward implementation bugs. To tackle this by preventing sensitive information leakage, we present PARTITIONGPT, the first LLM-driven approach that combines static analysis with the in-context learning capabilities of large language models (LLMs) to partition smart contracts into critical (privileged) and normal codebases, guided by a few annotated sensitive data variables. We evaluated PARTITIONGPT on 18 annotated smart contracts containing 99 sensitive functions. The results demonstrate that PARTITIONGPT successfully generates …

Dystop: Dynamic Staleness Control And Topology Construction For Asynchronous Decentralized Federated Learning, Yizhou Shi, Qianpiao Ma, Yan Xu, Junlong Zhou, Ming Hu, Yunming Liao

Research Collection School Of Computing and Information Systems

Federated Learning (FL) has emerged as a potential distributed learning paradigm that enables model training on edge devices (i.e., workers) while preserving data privacy. However, its reliance on a centralized server leads to limited scalability. Decentralized federated learning (DFL) eliminates the dependency on a centralized server by enabling peer-to-peer model exchange. Existing DFL mechanisms mainly employ synchronous communication, which may result in training inefficiencies under heterogeneous and dynamic edge environments. Although a few recent asynchronous DFL (ADFL) mechanisms have been proposed to address these issues, they typically yield stale model aggregation and frequent model transmission, leading to degraded training performance …

Revisiting The Canonicalization For Fast And Accurate Crystal Tensor Property Prediction, Haowei Hua Hua, Jingwen Yang, Wanyu Lin, Pan Zhou

Research Collection School Of Computing and Information Systems

Predicting the tensor properties of crystalline materials is a fundamental task in materials science. Unlike single-value property prediction, which is inherently invariant, tensor property prediction requires maintaining O(3) group tensor equivariance. Such equivariance constraint often requires specialized architecture designs to achieve effective predictions, inevitably introducing tremendous computational costs. Canonicalization, a classical technique for geometry, has recently been explored for efficient learning with symmetry. In this work, we revisit the problem of crystal tensor property prediction through the lens of canonicalization. Specifically, we demonstrate how polar decomposition, a simple yet efficient algebraic method, can serve as a form of canonicalization and …

Understanding Wage Theft: Beyond The Numbers Through Community Practice, Lived Experience, And Research, André Simões Da Silva, Lenita Reason, Cristina Araujo Brinkerhoff

Gastón Institute Publications

Wage theft is a widespread form of labor exploitation that disproportionately affects immigrant and other vulnerable workers. This report examines the scope and impact of wage theft in Massachusetts by analyzing case data from the Brazilian Worker Center (BWC) alongside wage and labor enforcement data from the Massachusetts Attorney General’s Office (AGO). The analysis demonstrates how wage theft affects immigrant workers across industries, with particularly high numbers of cases in construction, cleaning, and hospitality. The data also reveal significant gaps in the reporting and enforcement of wage violations, particularly among domestic workers, whose cases are likely substantially underrepresented in available …

Social Support, Trauma And Neurophysiological Stress, Devon S. Glicken

UNF Graduate Theses and Dissertations

Traumatic life experiences and the prolonged effects of stress can negatively impact an individual’s mental and physical health. Hyperreactivity to acute stressors can often be seen in individuals with anxiety, depression, and suicidal ideations, conditions commonly observed with endocrine dysfunction. How do traumatic experiences, particularly experiences related to military affiliation, influence stress responses and feelings of burdensomeness and thwarted belongingness? This study predicted (1) that military-affiliated individuals (and those with PTSD symptomology and high perceived life stress) will have heightened neurophysiological responses to minor levels of acute stress compared to individuals without military-affiliations (and those without PTSD symptomology or high …

What They Learn, What They Use:  A Narrative Inquiry Into Teacher Candidates’ Application And Perceptions Of Their Professional Learning Experiences, Shaundricka Medlock

UNF Graduate Theses and Dissertations

The landscape of teacher preparation is shifting toward clinically rich, practice-based models designed to bridge the longstanding gap between theoretical coursework and the realities of classroom teaching. Despite these reforms, many teacher candidates continue to face challenges in transferring what they learn in teacher preparation programs into effective instructional practice. This disconnect raises concerns about the coherence, responsiveness, and equity of current clinical preparation models, particularly in their ability to prepare future educators for diverse and high-need learning environments. This narrative inquiry study explores how elementary teacher candidates experience and apply professional learning experiences during a year-long internship in a …

Energy-Efficient Security For Narrowband Iot Using Blockchain And Ep-Cumac, Hafizullah Kakar

UNF Graduate Theses and Dissertations

The Narrowband Internet of Things (NB-IoT) continues to expand but faces challenges such as cryptographic overhead and energy consumption. Security frameworks such as blockchain and Energy-Performance Cumulative Message Authentication Codes (EP-CuMAC) rely heavily on SHA-256, which is not optimized for energy-limited devices.

This work unifies two complementary approaches, a hybrid blockchain-based NB-IoT framework and an EP-CuMAC-based framework, by engineering their cryptographic core with an Energy Complexity Model-optimized SHA-256 (ECM-SHA256). ECM applies parallel memory-bank mapping and block-level access optimization to reduce redundant power usage while preserving algorithmic integrity.

Experimental evaluation on identical Intel DDR3 systems using pyRAPL shows energy savings of …

Novice Teachers' Perceptions Of Clinical Experience And Their Preparedness To Teach In High-Need Urban Schools, Robin D. Renelus

UNF Graduate Theses and Dissertations

This hermeneutic phenomenological study examined novice teachers’ perceptions of how clinical experiences in a teacher preparation program prepared them to teach in high-need urban schools. The study included 12 novice teachers with three or fewer years of teaching experience who completed their clinical experience at the same university in Northeast Florida. Data were collected using Seidman’s (2019) three-interview approach, which explored participants’ backgrounds, day-to-day teaching experiences, and reflections on their sense of preparedness. Data were analyzed to develop textural descriptions of what participants experienced and structural descriptions of how those experiences were shaped (Moustakas, 1994).

Participants described clinical experiences as …

From Preparation To Practice: A Study Of Assistant Principals After Completion Of An Aspiring Assistant Principal Preparation Program, Mallory L. Mcconnell

UNF Graduate Theses and Dissertations

Leadership programs and readiness in schools, particularly those in Florida, is well studied. However, few studies have investigated how current assistant principals who have completed Clay County District School’s Aspiring Assistant Principal Program describe their experiences, believe the program has prepared them for the realities of school leadership, or identify the most impactful elements that have supported their leadership development. This case study seeks to collect foundational research knowledge by analyzing data from the program, participants, and key facilitators. Using a sampling of current assistant principals who have completed the Aspiring Assistant Principal Program, this research examines the results in …

Growth And Dielectric Characterization Of Epitaxial Sr1-Xmgxtio3 Thin Films, Richard Badu

UNF Graduate Theses and Dissertations

Complex oxide materials with ferroelectric ground states remain promising candi dates for next-generation high-capacitance and nonlinear microelectronic applica tions. One of those materials is SrTiO3 (STO). However, STO is an incipient fer roelectric with anomalously high dielectric permittivity at low temperatures. STO crystals possess a highly polarizable lattice that is sensitive to even small amounts of impurities. Substituting Mg into the STO matrix is predicted to induce a corre lation between ferroelectric and relaxor behavior. In this thesis, we demonstrated the growth of a series of epitaxial STO and Sr1-xMgxTiO3 thin films using molec ular beam epitaxy. The surface evolution …

Genetic Diversity Of Cryptosporidium Species In New York State, Kimberly A. Mergen

Electronic Theses & Dissertations (2024 - present)

The knowledge regarding Cryptosporidium infections in New York State (NYS) is severely lacking in two ways: 1) there are currently no NYS-based data regarding the subtypes of Cryptosporidium parvum and Cryptosporidium hominis, which are the two most prevalent species that infect humans and 2) information regarding uncommon Cryptosporidium species that infect the New York population is also unavailable. Filling these gaps concerning this pathogenic parasite would provide a substantial amount of information when considering public health, outbreak investigations, and prevention measures. Therefore, improving Cryptosporidium subtype and species surveillance in NYS will aid in prevention and control efforts as well …

Studies Towards Chemical Synthesis Of Homogeneous Prion Glycoprotein, Baotong Tian

Electronic Theses & Dissertations (2024 - present)

Prion diseases are fatal neurodegenerative disorders initiated by conformational misfolding of the prion protein (PrP), which generates pathogenic conformers that propagate via templated conversion and accumulate as aggregates. Glycosylation can modulate the PrP folding energy landscape, thereby biasing folding trajectories and the distribution of resulting conformational states. Bank vole PrP contains two N-linked glycosylation sites, and disentangling the contributions of site occupancy versus glycan structure requires homogeneous, site-defined glycoforms. In contrast, biosynthetic expression typically produces heterogeneous glycoform ensembles due to multistep Golgi processing, precluding independent control of glycan identity at each site. Here we report a chemical synthesis strategy of …

Lifting The Political Fog: People, Power, And Antislavery Politics In Upstate New York, 1848-1861, Nicholas Thony

Electronic Theses & Dissertations (2024 - present)

This work details the ascendance of the political antislavery movement in upstate New York, focusing on the roles a diverse array of actors played in constructing an unlikely Republican coalition of conservatives, reformers, black New Yorkers, nativists, prohibitionists, and abolitionists in the years preceding the Civil War. In weaving together the parallel and inextricable stories of powerful newspaperman Thurlow Weed, female reformers like Susan B. Anthony and Elizabeth Cady Stanton, and black communities across the state, I argue the success of the political antislavery movement resulted from their combined efforts. Thurlow Weed was one of the most important politicians of …

Llevándolas Con Calma: Latin American Migrant Worker Parenthood And Covid-19, Anthony J. Stronach

Electronic Theses & Dissertations (2024 - present)

We have yet to fully understand what Latino migrant worker parents -a population invisible in many ways to much of society- have undergone since the onset and as a result of the COVID-19 health crisis. As such, grounded in the experiences and words of eleven migrants, this dissertation demonstrates (1) the shifting parameters of migrant parenthood during and after the pandemic, (2) how migrant working parents navigated such unprecedented times, and (3) their reflections as they looked back upon such experiences. These experiences include more than merely what happened to them; they encompass their thoughts, their emotions, their memories, their …

Initial Development Of Contextualized Social-Emotional Learning Assessment Tool For The Indonesian School, Nisrina Nurika Agustin

Electronic Theses & Dissertations (2024 - present)

As social-emotional learning (SEL) becomes increasingly integrated into the Indonesian national curriculum, a significant gap remains regarding culturally grounded tools to measure student progress. Current assessments often rely on Western-centric frameworks that prioritize individualistic traits over the collectivist values—such as communal harmony and the 5S tradition—prevalent in Indonesian schools. This study aimed to develop and provide initial item generation for a localized SEL assessment tool for primary school students (Grades 1–3). Utilizing a Deductive Qualitative Analysis (DQA) design, the research drew upon the CASEL framework for structural alignment while employing inductive methods to ensure cultural relevance. Data were collected through …

Constructing The Political “Other”: Affective Polarization And Cross-Ideological Portrayals On Instagram, Amanda M. Novellin

Electronic Theses & Dissertations (2024 - present)

Instagram has frequently been characterized by users as a platform that permits the circulation of hostile and adversarial political content due to comparatively limited moderation practices. In January 2025, Meta CEO Mark Zuckerberg announced changes to content moderation policies on Facebook and Instagram, including the removal of third-party fact-checking mechanisms. These platform-level changes further reshaped the political information environment in which online discourse occurs. However, even prior to these policy changes, Instagram had established itself as a prominent space for highly polarized political expression across the ideological spectrum.

This thesis examines how political polarization in the United States is reflected …

January 2026 News Releases, University Of Montana--Missoula. Office Of University Relations

University of Montana News Releases, 1928, 1956-present

No abstract provided.

A Proposed Conceptual Framework For Assessing Quality Of Life In The United Arab Emirates: Application To Ras Al Khaimah Emirate, Aaesha Saif Al Shehhi

Dissertations

Quality of Life (QoL) has become a central concern in urban planning and sustainable development, particularly in rapidly transforming contexts such as the United Arab Emirates. This dissertation proposes and empirically validates a comprehensive framework for assessing urban QoL, with a focused application to the Emirate of Ras Al Khaimah. A mixed-methods approach integrates objective indicators and residents' subjective perceptions, aligned with national strategies including UAE Vision 2030, the National Strategy for Wellbeing 2031, and UAE Centennial 2071.

The methodology combines Geographic Information Systems (GIS), the Analytic Hierarchy Process (AHP), and statistical analyses to evaluate seven key sectors: environment, infrastructure …

Human Vaccine Hesitancy Spillover In The Field Of Veterinary Medicine: A Systematic Narrative Review Of Impacts And Veterinary Responses, Allison Schimpf

HEAL Project Outputs

Human vaccine hesitancy spillover in the veterinary field is a relatively new concept that has gained traction since the COVID-19 pandemic. Concerns about vaccine safety have increased among pet owners leading to questions about the potential impacts of reduced vaccination and how veterinarians can address these attitudes. A systematic search strategy following PRISMA 2020 guidelines was used with 3 different databases to collect peer-reviewed research articles from 2022 until now. The initial search yielded 376 articles for review and 11 were included after screening. Articles were analyzed using a narrative review format. Results showed that pet owners are more vaccine …

Health Empowerment And Learning (Heal) Data Needs And Assets Assessment, Kayla Gurganus, Amelia Hartley

HEAL Project Outputs

From October 2025 through March 2026, HEAL conducted interviews with health organization and local health department (LHD) staff to learn about the data environment and activities involving data. This report summarizes the project process and results, focusing on common challenges and needed skills identified by interviewees. The primary challenges identified by LHDs and health organizations relate to coordination and navigation, timely access and data sharing, communicating data, and staffing and funding. The necessary skills and resources interviewees shared relate to technical assistance, skills and capacity building, and staffing. The report concludes with a menu of services that the HEAL team …

Wherefore Art Thou Competitors? How Situational Affordances Help Differentiate Among Prosocials, Individualists, And Competitors, Y. Liu, A.W. Stivers, R.O. Murphy, N.J. Van Doesum, J. Joireman, M. Gallucci, E. Aharonov-Majar, U. Athenstaedt, L. Bai, R. Böhm, N.R. Buchan, X.-P. Chen, K.B. Dumont, J.B. Engelmann, Li, Norman P., H. Euh, S. Fiedler, J. Friesen, S. Gächter, C. Garcia

Research Collection School of Social Sciences

The Triple Dominance Measure (choosing between prosocial, individualistic, and competitive options) and the Slider Measure (“sliding” between various orientations, for example, from individualistic to prosocial) are two widely used techniques to measure social value orientation, that is, the weight individuals assign to own and others’ outcomes in interdependent situations. Surprisingly, there is only moderate correspondence between these measures, but it is unclear why and what the implications are for identifying individual differences in social value orientation. Using a dataset of 8021 participants from 31 countries and regions, this study revealed that the Slider Measure identified fewer competitors than the Triple …

Artificial Intelligence, Fundamental Motives, And Evolutionary Mismatch, Amy J. Lim, Jose. C. Yong, Edison Sora Tan

Research Collection School of Social Sciences

In recent years, the intersection of artificial intelligence (AI) and psychology has garnered unprecedented attention, particularly following the advent of generative AI tools in 2022. These tools, capable of producing human-like text, images, and even deepening our understanding of cognitive processes, have not only captured the public imagination but also sparked new concerns and debates within the psychological community. While AI has been a subject of research for decades, the emergence of its generative capabilities has truly thrust AI into the spotlight. This article explores how these advancements are reshaping our understanding of human cognition and behavior, as well as …

Active Synchronous Participation In Online University Courses: Areview, María Dolores Rueda Montero

Capítulos de libros

This work explores the nature of synchronous active participation in online university education, focusing on its pedagogical value, challenges, and effective design strategies. While asynchronous learning dominates online higher education due to flexibility, the literature consistently highlights its limitations in engagement, motivation, and social connection. Synchronous active participation can compensate for these constraints by fostering social presence, sustained attention, and real-time interaction, especially when it is intentionally designed and facilitated. This study examines key themes such as webcam use, multimodal participation, community building, instructional design, and instructor digital competence. Findings show that non-use of cameras often reflects privacy, anxiety, or …

Creating A Social Media Campaign, Alexa Capeloto

Open Educational Resources

Students research an issue related to social good and apply visual, news, and digital literacy skills to design an original image and a proposed social media campaign.

Writing To Different Audiences For Different Purposes, Kim Liao

Open Educational Resources

Students research a recent technology and write three pieces for different audiences: an informational guide for nonexperts, an analytical memo for professionals, and a public-facing op-ed. They revise these pieces into a portfolio and reflect on how their writing choices serve each audience and purpose.

Toxicology Case Study Model, Ana Pego

Open Educational Resources

Graduate students apply laboratory skills to an authentic forensic toxicology case by interpreting evidence, recommending analytical methods, and presenting a critical group assessment.

Ultrafast Vibrational Dynamics In Important Wide-Bandgap Semiconductors, Dielectrics And Energetic Materials, Dinusha Madushanka Senarathna

Open Access Dissertations

This dissertation applies time-resolved coherent anti-Stokes Raman scattering (tr-CARS), to measure ultrafast vibrational dynamics in technologically important solid-state and van der Waals molecular systems. The central goal is to use time-domain Raman methods to resolve mode-specific phonon and vibrational dephasing processes with high temporal precision, high spectral selectivity, and sufficient experimental flexibility to probe materials ranging from wide-bandgap semiconductors and oxide crystals to energetic molecular crystals. Across the work, I show that carefully designed tr-CARS measurements can access vibrational lifetimes from hundreds of femtoseconds to several picoseconds, enabling direct observation of decay pathways, relaxation mechanisms, and dispersion effects that shape …

Challenges And Best Practices For The Development Of Coastal Hazard Decision Support Tools, Noah Hallisey

Open Access Dissertations

There is growing interest in developing Decision Support Tools (DSTs) supporting emergency managers and other decision-makers during coastal storm events. Yet many tools fail to inform decision-making due to challenges associated with their development and transition into operational tools for real-time decision-making. This dissertation investigates these challenges and offers best practices for their development and implementation for real-world decision-making through a literature review, interviews with subject matter experts in the United States, and a real-world case study.

Manuscript 1 reviews existing published literature to understand whether and how tool developers are incorporating emergency managers in the development of DSTs and …

Information Asymmetry: A Configurational Perspective In Buyer-Supplier Relationships, Soode Vaezinejad

Open Access Dissertations

Information asymmetry in buyer-supplier relationships has been linked to several influencing factors. However, these factors are often examined in isolation, limiting understanding of their synergistic effects. Grounded in agency theory, signaling theory, and transaction cost economics, this study adopts a configurational perspective to examine which combinations of factors lead to high information asymmetry. Using a three-part study design, we first conduct a systematic literature review to identify relevant factors, which are then refined and prioritized through a Delphi study. Building on this foundation, fuzzy-set Qualitative Comparative Analysis (fsQCA) is applied to survey data from 385 buyer managers to uncover equifinal …