Digital Commons Network^™

Blockchain As A Digital Coordination Infrastructure For Project Management: A Systematic Review And Integrative Framework, Cherie Bakker Noteboom, Sai Neelima Seru, Aravindh Sekar

Journal of International Technology and Information Management

Blockchain technology has gained increasing attention as a digital infrastructure capable of improving transparency, trust, and coordination in complex, multi-organizational project environments. However, existing research on blockchain-enabled project management remains fragmented and industry-focused, providing limited guidance for organizational adoption and integration. This study addresses this gap through a systematic literature review of 29 peer-reviewed studies, following PRISMA guidelines, to examine how blockchain capabilities are incorporated into project management practices across industries and maturity stages.

Grounded in Resource-Based View and Coordination Theory, the analysis employs a feature-to-process mapping approach to link six core blockchain capabilities—decentralization, transparency, immutability, smart contracts, traceability, and …

Hydroponics In The Classroom: Cultivating Plants, Captivating Young People, Stacy A. Adams, Christian Stephenson, Theresa James, Kim Todd

Department of Agronomy and Horticulture: Faculty Publications

Few students take the initiative to pursue coursework beyond that required for progression to graduation. Limited are opportunities that connect educational content to industry application, potentially inspiring young people towards impactful careers. The United States government has emphasized the importance of STEM education to ensure national security and to maintain economic competitiveness globally. STEM education is not a defined discipline but an approach for building knowledge through application and engagement. Developing and managing a hydroponics prototype provides numerous opportunities for embedding STEM content into a fun and interactive project. This poster provides inspiration for constructing a simple deep water culture …

Values-Based Behavioral Frameworks As Contributors To Organizational Culture In Higher Education: A Literature Review, David J. Park Do

Posters

Colleges and universities almost universally publish statements of institutional values, yet a gap often persists between those stated values and the regularly observed behaviors. This review examines how that gap relates to culture in higher education institutions and specifically explores how translating values into observable behaviors contributes to organizational culture. This literature review used a structured, criteria-guided approach to source identification, selecting sources against three constructs: 1) institutional adoption of values-based behavioral frameworks, 2) organizational culture in higher-education settings, and 3) the perceptions through which organizational members perceive culture. The resulting corpus of 40 sources spans organizational culture scholarship, virtue …

Habitar Lo Vivo, Sara Sánchez-Herrera Cubero

Grado en Diseño de Interiores

The project proposes a Centre for Research into Cognitive Development based on the principles of biophilia, understood as the natural connection between humans and nature. Based on an analysis of the existing building, a rational, modular steel structural system has been developed which contrasts with the organic and sensory dimension of the biophilic design, creating a dialogue between the artificial and the natural. The building is completely hollowed out whilst retaining its structure and façade—as the skeleton and skin of the rationalist movement—and this modular steel structure is incorporated; thanks to its own strength, it can easily create spaces. The …

Comúnia, María Sanjurjo Sánchez

Grado en Diseño de Interiores

COMÚNIA stems from a desire to reinterpret the day center as an extension of everyday life. Moving away from clinical or institutional settings, the project proposes a domestic, warm, and familiar environment—an architectural space that supports individuals with early-stage Alzheimer’s without constantly reminding them of their condition. The design draws inspiration from the interplay between homes and the neighborhood square, viewing these areas as settings for social interaction, autonomy, and shared memories. Each floor represents a different way of experiencing the day: the main floor functions like a town square—a space for socializing and activity; the upper floor offers a …

Efficient And Fair Resource Unit(Ru) Allocation Methods For The Ofdma Mechanism Under Ieee 802.11ax, Yang Yu

Doctoral

The IEEE 802.11ax standard was approved in February 2021. This standard allows users to access different channel bandwidths to transmit their packets under the Orthogonal Frequency Division Multiple Access (OFDMA) mechanism. As the number of Internet users and the number of Internet applications increase, the allocation of channel resources has been a challenge in WLANs. Different types of applications, such as real-time video conferencing, online gaming and large-scale data transfers, generate different requirements in terms of throughput, latency and reliability. Consequently, the diversity in users’ channel bandwidth demands is increasing. Under the OFDMA mechanism, the packets can be allocated into …

Sharing Patient-Generated Health Data With Electronic Health Record: A Standardised Provenance And Context-Rich Information Model And Clinician Evaluation, Abdullahi Abubakar Kawu

Dissertations

With the advent of Patient-Generated Health Data (PGHD) through wearable, mobile, and home monitoring systems, there is immense potential for ongoing monitoring and patient engagement. But integrating PGHD with Electronic Health Record (EHR) is challenged by sub-optimal support for contextual metadata and its relevant elements, lack of semantic interoperability among disparate systems, poor knowledge regarding the factors that impact clinician acceptance, and absence of globally agreed standards for data exchange. This thesis explores how contextually relevant patient-generated health data can be shared with EHRs through a FAIR standardized information model that ensures semantic and syntactic interoperability.

The study addresses six …

Potential Of Crispr/Cas9 Genome Engineering For Biofuel Production From Economically Relevant Algae, Sundram Kumar, Ankur J. Phillips, Bashir Adelodun, Francesco Di Maria, Suresh Sundaramurthy, Tarun Pal

Arusha Climate and Environmental Research Centre

The worldwide energy demand continues to rise, while reliance on fossil fuels remains unsustainable due to global warming, declining reserves and rising oil prices. This has intensified the search for renewable alternatives. Among these, microscopic algae have emerged as a promising feedstock for third-generation biofuels. Owing to their rapid biomass productivity, high lipid content and ability to generate diverse bioproducts, microalgae offer distinct advantages over terrestrial plants. Lipids derived from algae can be converted into biodiesel, while their biomass yields valuable co-products such as carbohydrates, proteins and polyunsatu- rated fatty acids (FAs). These attributes position algae as critical contributors to …

Enhancing Urban Resilience In Ariha City, Syria: Integrating Active And Passive Climate Adaptation Strategies, Rania Rushdy Moussa, Ayham Ahmed Karoum

Architectural Engineering

Ariha City in Syria faces urgent challenges for post-war reconstruction, including damaged infrastructure and environmental pollution resulting from the conflict. Enhancing urban resilience has become a priority to ensure sustainable recovery and mitigate the ongoing environmental impacts. This study investigates how combining traditional passive design strategies with modern active technological systems can strengthen urban resilience in this context. A two-phase methodology was employed. In the first phase, a field assessment examined existing urban conditions through site surveys, spatial analysis, and documentation of passive and active resilience strategies in both the historic center and new growth areas. In the second phase, …

Optimizing Energy Efficiency In Educational Buildings Through Facade Material Selection, Rania Rushdy Moussa, Malak Ayman, Khloud Khalid

Architectural Engineering

Facade material selection is crucial for improving building performance and reducing environmental effect, as evidenced by the growing demand for sustainable architectural solutions, especially in educational institutions. The use of typical, non-sustainable facade materials in Egyptian educational buildings is a major cause of the country's high energy consumption, poor indoor air quality, and rising carbon emissions. This research explores the possibility of using cuttingedge facade materials to promote sustainability in Egyptian university buildings in order to close this crucial gap. The study incorporates a mixed-methods approach and begins with a qualitative theoretical review that includes a thorough literature analysis. A …

Visual Analytics For Interpretable Quantum Computing, Shaolun Ruan

Dissertations and Theses Collection (Open Access)

Quantum computing has entered a stage of increasing practicality. Many quantum hardware vendors such as IBM, Rigetti, Honeywell, and IonQ now enable experiments on real devices in the Noisy Intermediate-Scale Quantum (NISQ) era. These platforms show computational advantages in domains such as optimization, machine learning, and materials science. However, they remain limited by hardware noise and the absence of human-interpretable information. Existing visual metaphors, such as the Bloch Sphere for single-qubit states or circuit schematics for algorithm design, struggle to convey multi-qubit entanglement or measurement probabilities in ways accessible to human reasoning. Likewise, the rise of variational quantum circuits and …

Constrained Reinforcement Learning: From Single-Agent Safety To Multi-Agent Coordination, Hao Jiang

Dissertations and Theses Collection (Open Access)

Real-world decision-making systems such as autonomous driving and largescale ride-pooling must operate under strict safety and resource constraints. Traditional Reinforcement Learning (RL) methods, while powerful in simulation, often fail to guarantee such constraints, limiting their real-world deployment. The fundamental challenge lies in integrating constraint satisfaction with long-term reward optimization, especially when outcomes are stochastic and interdependent across multiple agents.

This dissertation advances the field of Constrained Reinforcement Learning (CRL) from both single-agent safety and multi-agent coordination perspectives. In the single-agent setting, we introduce a Reward Penalty framework that augments the state space with cumulative cost and penalizes only trajectories that …

Improving Pid Control With Bayesian Optimization For Adversarially Robust Federated Learning, Adrian Pena, Sergei Chuprov, Raman Zatsarenko, Leon Reznik

Computer Science Faculty Publications

Federated Learning (FL) often suffers from unstable convergence and reduced robustness under non-IID data and malicious attacks. In this paper, we present FedPIDAvg_tuned, a control-theoretic aggregation framework for improving stability and adversarial robustness in FL. In particular, our approach combines a server-side Proportional–Integral–Derivative (PID) controller with Bayesian optimization to tune controller gains for different data and attack conditions. The PID controller regulates global model updates through feedback on loss dynamics, providing adaptive scaling that improves stability and convergence. The tuned gains are applied within a trust-weighted trimmed-mean mechanism to remove adversarial or outlier updates. Using the Flower framework, we evaluate …

Redefining Educational Technology: A Critical Collaborative Inquiry, Aras Bozkurt, Helen Crompton, Robert Farrow, Agnes Kukulska-Hulme, Jon Dron, Richard West, Agnieszka (Aga) Palalas, Matth Bower, Junhong Xiao, Ahmed Tlili, Danah Henriksen, Angelica Pazurek, Henk Huijser, Thomas K. F. Chiu, Petar Jandrić, Katy Jordan, John Curry, Royce Kimmons, Mutlu Cukurova, Thomas Reeves, Gwo-Jen Hwang, Peter Shea, Jason Lodge, Martin Weller, Davy Ng, Tutaleni Iita Asino

STEMPS Faculty Publications

Educational technologists have not settled on a fixed definition of the field and likely never will. However, attempting to define the field helps to understand the epistemological meanings that shape what the field sees, values, and considers worth pursuing. Through a critical historical review spanning over a century, alongside theoretical engagement with the concepts of entanglement and distributed agency, this paper identifies three key insufficiencies in current educational technology frameworks. These are the persistence of an instrumental-facilitative paradigm that treats technology as a resource deployed by human agents; the theoretical dissolution of the pedagogy-technology dichotomy that existing definitions have not …

Co-Curricular Science Experiences Support Undergraduate Students' Science Gpa, Degree Completion, Workforce Entry, And Motivation, Lisa Linnenbrink-Garcia, Tony Perez, Stacy J. Priniski, Sharlyn Ferguson-Johnson, John Keane, Alexandra Lee, Kristy A. Robinson, You-Kyung Lee, Goun Choi, Matthew J. Schell, Danielle N. Berry, Rochelle Schwatz-Bloom

STEMPS Faculty Publications

Science co-curricular experiences (SciXP)-such as research experiences and internships-are a common, yet understudied, strategy to enhance undergraduates' science career pursuit. Using a doubly robust method to account for initial differences in science motivation, academic readiness, and career intentions, we investigated whether SciXP participation across four years of college predicted undergraduates' (N = 1984) science achievement, career persistence, and motivation at the end of college and after graduation. Participation in science co-curricular experiences was positively associated with science GPA, earning a science degree, being in a more science-intensive career one to two years post-graduation, and viewing science as important and useful …

Nanoparticle Carriers Enhance The Prophylactic Antiviral Effects Of Dsrna In Vitro And Ex Vivo, Shayne Oberhoffner, Stephanie Dewitte-Orr, Starla Richardson, Leah Haile, Dominique Daniels, Erin Cooper, Aizah Ijaz, Janet Velasquez Perez, Mathilde Peruzzi, Bertrand Collet, Paul Craig, Kristof Jenik

Theses and Dissertations (Comprehensive)

Aquaculture now outpaces traditional capture fisheries as the world population and demand for sustainable protein sources increases. Wild and farmed species are increasingly susceptible to pathogen spread as global temperatures rise and stocking densities increase. Despite the devastating losses experienced by aquaculture due to viral infections, there remain few effective prophylactic antiviral therapeutics. Long double-stranded (ds)RNA is a uniquely viral molecule produced by nearly all viruses during their replication cycle, and its detection by salmonids like rainbow trout (Oncorhynchus mykiss) and chinook salmon (Oncorhynchus tshawytsha) leads to the establishment of a defensive antiviral state. Previous in vitro studies demonstrated a …

Science Fiction Cinema And The Technological Sublime: Spectacle And The Infinite From Early Cinema To Digital, David Jackson Dr.

Theses and Dissertations (Comprehensive)

This dissertation examines how science fiction cinema constructs and reimagines the technological sublime in the twentieth century: the experience of awe, terror, and admiration provoked by human-made power and scale. Drawing on the philosophical foundations of the sublime in Edmund Burke and Immanuel Kant and extending through Leo Marx’s and David E. Nye’s theorization of the technological sublime, I propose an aesthetic mode in which representation inflected with affect translates technological spectacle into examinations of humanity’s role and agency in the face of overwhelming technologized worlds and in some cases, even the universe itself.

Through three distinct historical periods …

Implementation Of A 3-Dimensional Hydrodynamic Numerical Model On A Large Northern Lake, Kirin Lorente

Theses and Dissertations (Comprehensive)

Climate change is impacting high latitude regions disproportionately more than those at a lower latitude. With polar lakes being highly sensitive to changes in the climate, shifts in lake ice dynamics and hydrodynamics are indicators of such changes in regional and global climates. These changes impact future seasons in a positive feedback loop, where changes in winter ice cover impact open water nutrients levels and lake thermal structure. This highlights the importance for long-term monitoring. Despite the abundance of lakes distributed across Northern Canada, there has been limited research conducted on these sentinels of climate change.

Specifically, Great Bear Lake …

Cognitive Load Classification Using Functional Near-Infrared Spectroscopy, Pratham Shah

Theses and Dissertations (Comprehensive)

This thesis investigates the classification of cognitive load using functional near-infrared spectroscopy (fNIRS) signals recorded during an N-back working memory task. The study introduces a novel short-channel correction layer designed to suppress superficial physiological noise adaptively, addressing limitations of traditional General Linear Model (GLM) based regression. A single participant dataset comprising 69 validated sessions was analyzed using both conventional machine learning and deep learning approaches. Traditional classifiers: Linear Discriminant Analysis (LDA), Support Vector Machines (SVM), Random Forests, and Gradient Boosting were first evaluated using statistical features (mean, variance, peak, and slope). Among these, Gradient Boosting achieved the highest accuracy (55.6%), …

A Novel Federated Llm Framework For Distributed Traffic Modelling In Intelligent Transportation Systems, Seerat Kaur

Theses and Dissertations (Comprehensive)

Intelligent transportation systems (ITS) depend on accurate traffic prediction to support congestion management, infrastructure planning, and real-time operational decisions. Despite substantial progress in data-driven forecasting, several challenges continue to limit practical deployment: traffic data is distributed across independent regional authorities, making centralized aggregation infeasible, standard federated aggregation strategies ignore traffic-specific characteristics that meaningfully affect model quality, and existing models produce only numerical outputs without interpretable reasoning that urban planners can act upon. This thesis addresses these challenges through four contributions that collectively advance privacy-preserving, explainable, and scalable traffic forecasting.

The first contribution provides a systematic review of 129 peer-reviewed publications, …

Taylorkan-Vit: Parameter-Efficient Vision Transformers For Medical Image Classification, Kaniz Fatema, Dr. Emad Mohammed, Dr. Sukhjit Singh Sehra

Theses and Dissertations (Comprehensive)

Effective and interpretable classification of medical images remains a critical challenge in computer-aided diagnosis, particularly in data-scarce and resource-constrained clinical settings where traditional deep learning models prove impractical. This study addresses the fundamental barrier to Vision Transformer adoption in medical imaging—massive parameter counts and data requirements—through a systematic two-phase methodology. Phase 1 evaluates three spline-based Kolmogorov–Arnold Network (KAN) variants to identify the optimal nonlinear approximation function for parameter-efficient medical image classification: SBTAYLOR-KAN (B-splines with Taylor series), SBRBF-KAN (B-splines with Radial Basis Functions), and SBWAVELET-KAN (B-splines with Morlet wavelets). Comprehensive experiments across brain MRI, chest X-rays, and tuberculosis datasets—without any image …

Memory Effects In Many-Body Systems, Jeffrey Beckstrand

Master's Projects

This thesis investigates memory effects in many-body systems through the MoriZwanzig Formalism for projected dynamics of a Hamiltonian System which yields the Generalized Langevin Equation (GLE). The GLE is a stochastic differential equation (SDE) that studies the dynamics of observables under the effects of many other observables in the system. Although satisfying, the GLE has a term called the Memory Kernel that encodes the past of the system and introduces a computational challenge by introducing a non-Markovian property to the equation. The kernel is often approximated by introducing a delta function, which simplifies the computation, but at the loss of …

Modeling Sealed Deck Construction In Collectible Card Games Using Learning-To-Rank Approach, Michael Dinh Nguyen

Master's Projects

Artificial intelligence has demonstrated strong performance in complex decision-making domains such as chess and Go, motivating research into its application for games with even richer rules and combinatorial complexity. In collectible card games like Magic: The Gathering, deck construction from a constrained card pool is a critical and challenging task that requires evaluating card strength, synergy, and resource balance. This project explores whether machine learning, specifically learning-to-rank (LTR), can effectively model these human decision processes to construct competitive decks in a sealed format. The results found here can also be applicable to other areas of note, such as sports drafting …

Multi-Agent Path Planning And Optimization Using Q-Learning, Chirag Rudresh

Master's Projects

Robot navigation in a multi-agent setting requires a balance between safety and efficiency, especially in dense environments. In these two-dimensional spaces, the scope for geometric errors is much less and could lead to collisions or immobility. This project proposes to address the navigation task using a two-phase path planning pipeline that combines reinforcement learning and convex optimization in a scalable and robust manner. The first phase consists of generating diverse collision-free paths using a Q-learning agent that is trained on a visibility graph representation of the environment. The discretization of the environment using waypoint-based graphs allows the agent to train …

Rapid Urbanization Reduces Genetic Diversity And Increases Genetic Differentiation Of A Lynx Spider Oxyopes Sertatus In Central Taiwan, Ying-Yuan Lo, Chi Wei, Wan-Jyun Chen, Chung-Ping Lin

Biological Sciences Faculty Publications

Urbanization is a dominant force driving destructive and irreversible changes of natural habitats in modern times. While the effects of urbanization on community composition and phenotypic responses are well-documented, its influence on genetic diversity and population structure remains understudied, particularly for invertebrates in subtropical regions. This study tested the hypothesis that urbanization reduces genetic diversity and increases population differentiation in the lynx spider Oxyopes sertatus, a common foliage-dwelling spider in Taiwan. We sampled 245 individuals from 17 sites distributed along an urban-rural gradient and quantified urbanization intensity using land-use composition at both landscape (4 km²) and local (0.25 km²) …

Evaluating Species At Risk In Data-Limited Fisheries: A Productivity-Susceptibility Analysis For Marine Aquarium Fish, Gabrielle A. Baillargeon, Alice A. Wynn, Jemelyn Grace P. Baldisimo, Michael F. Tlusty, Andrew L. Rhyne

Biological Sciences Faculty Publications

The marine aquarium trade (MAT) is a significant global industry harvesting millions of wild-caught, live coral reef fishes for public and private aquaria markets in the United States and Europe annually, while supporting fisher livelihoods in the Indo-Pacific. This diverse and species-rich trade is considered data-limited, creating barriers to quantifying the current and future socio-ecological sustainability of the fishery. We present a revised and expanded productivity–susceptibility analysis (PSA) that serves as a holistic risk assessment to estimate the vulnerability of marine aquarium fish to overfishing. Our global analysis includes 306 species that are actively in trade. Improvements to the PSA …

Brilliance In The Margins: An Exploration Of The Lived Experience Of Black Women Faculty In Stem, Mykella C. Mitchell

West Chester University Graduate Theses, Dissertations, and Final Projects

This qualitative research study explores the lives of Black women STEM faculty at Ivy and Ivy+ institutions. The existing literature reveals a distinct gap in research as it pertains to this demographic, due to the limited number of Black women who hold faculty positions and the limited research that centers their voices. This study intentionally centered the voices of Black women scholars using portraiture, which helped to avoid the creation of deficit‑based stories. Furthermore, this research was guided by the conceptual frameworks of whiteness as smartness and meritocracy. Portraits were created from the lives of six tenured and tenure‑track Black …

Legislating Equity: A Qualitative Policy Analysis Of Healthcare Access And Health Literacy In Medically Underserved Communities In New Jersey, Korlu Y. Howard

West Chester University Graduate Theses, Dissertations, and Final Projects

Access to healthcare has always been a major policy challenge in the United States and contributes to ongoing disparities. Reform efforts have focused on expanding insurance coverage, yet less attention has been focused on whether the healthcare system is navigable. This study examines three New Jersey statutes using Kingdon’s Multiple Streams Framework and the Health Equity Framework. The purpose of this examination is to better understand how statutory language shapes healthcare access. The findings show that access is primarily structured through coverage requirements, procedural protections, and established legal rights. At the same time, these systems often involve added complexity, requiring …

Connecting Classroom Physics To Real-World Research: A Citizen Science Approach In Ap Physics 1, Heather M. Landgarten

West Chester University Graduate Theses, Dissertations, and Final Projects

Advanced Placement (AP) Physics 1 emphasizes evidence-based reasoning, quantitative modeling, and scientific inquiry. However, secondary science instruction often remains focused on procedural problem solving and standardized assessment rather than authentic scientific practice. This study examined the integration of citizen science projects into an AP Physics 1 curriculum to provide students with authentic research experiences while reinforcing physics concepts during the post-AP examination instructional period.

Using a classroom-based mixed-methods pre–post design, students participated in citizen science activities through publicly available research platforms, including Zooniverse. Students collected and classified authentic scientific data, analyzed real-world datasets, developed research questions, compared observations with theoretical …

The Role Of Technology In Education: Friend Or Fiend?, Michaela A. Morgan

West Chester University Graduate Theses, Dissertations, and Final Projects

In this paper we will be examining the role of educational technology in the United States through a critical lens with the purpose of arguing that the growing dependence on EdTech, standardized testing, and data-driven instruction has contributed to the privatization, dehumanization, and inequity of public education. Drawing from critical pedagogy, sociocultural theory, and educational research both recent and decades prior. In my paper I explore how technology in schools often functions less as a liberatory tool and more as a mechanism of surveillance, commodification, and control. We consider the historical roots of educational inequality, including eugenics, meritocracy, and colonial …