Digital Commons Network^™

Explainable Ai For Liver Transplant Survival Prediction: Integrating Immunological Mismatch Features, Sourab Shaik

Honors Projects

Liver Transplantations are crucial treatment for end-stage liver disease. However, a persistent deficit of donor organs necessitates maximizing the utility of each available graft to minimize failure rates. We evaluated whether donor–recipient molecular immunogenicity metrics - Electrostatic and Hydrophobic Mismatch Scores (HMS/EMS) and eplet-based counts - improve post–liver-transplant survival prediction. The analytic cohort comprised adult, first time, single-organ deceased-donor transplants drawn from Scientific Registry of Transplant Recipients; follow-up was truncated at five years, and the endpoint was all-cause graft failure (earliest of graft failure or death; otherwise, censored). HLA variables were derived via high- resolution conversion and molecular mismatch computations …

Strategies For Improving Supported Employment Services For Adults With Intellectual And Developmental Disabilities, Janelle Latoya Bailey

Walden Dissertations and Doctoral Studies

There is a growing need for supported employment services and improved programming among people with intellectual/developmental disabilities (I/DD). The research question for this study was; what are human service staff and administrators’ experiences and perceptions of what is working well in supported employment programs, and how to improve the services offered to adults with I/DD in a northeastern county? The tenets of Kurt Lewin’s change model form the theoretical framework for the study, to serve as a foundation for effective change. A force field analysis approach was used to gather narrative written data from open ended questionnaire responses to grasp …

The Artificial Intelligence (Ai) Economy In The Mountain West, 2025, Dre Boyd-Weatherly, Sean Curry, Krish Sharma, Kristian Thymianos, William E. Brown Jr.

Economic Development & Workforce

This fact sheet reports on the artificial intelligence (AI) readiness of five Mountain West metropolitan statistical areas (MSAs): Phoenix-Mesa-Chandler, AZ; Salt Lake City-Murray, UT; Denver-Aurora-Centennial, CO; Las Vegas-Henderson-North Las Vegas, NV; and Albuquerque, NM. Using data from the Brookings Institution's “Mapping the AI Economy” report, the MSAs are benchmarked based on their overall population, employment, talent, adoption, and innovation.

Unsaturated Fatty Acid Oil-Based Microdroplets: A Promising Novel Class Of Microdroplets, Ramiz S. Alejilat

Seton Hall University Dissertations and Theses (ETDs)

Droplet-based microfluidics has rapidly advanced numerous fields, including chemistry, biology, materials science, medicine, food science, and cosmetics. In these systems, fluorocarbon oil combined with fluorinated surfactants is the preferred medium for fluid encapsulation, offering exceptional stability and biocompatibility essential for sensitive biological and chemical processes. However, growing concerns about the environmental and biological risks associated with fluorinated chemicals have prompted a search for alternatives.

This study is the first to explore the use of unsaturated fatty acids derived from emu oil for microdroplet formation. We characterized droplet formation based on flow rates and the presence non-fluorinated surfactant at a certain …

Developing Accessible Narrative-Based Stem Learning Software For K-6 Braille Display Users, Dylan Ravel, Daniel Tsivkovski, Brandon Foley, Maryam Etezad, Franceli Cibrian, Ariel Han, Rajeev Joshi

Student Scholar Symposium Abstracts and Posters

This research develops a free, accessible web application that enables K-6 students who are blind or visually impaired (BVI) to learn STEM concepts using refreshable braille displays. Currently, most online learning tools are not designed for BVI students, creating a significant educational barrier.

The application interfaces with commercial braille displays and uses narrative-based learning to make STEM content approachable and engaging. By presenting material as interactive stories, students can connect with concepts while developing braille reading skills. The curriculum design prioritizes accessibility through the Accessible Rich Internet Applications (ARIA) standards and screen reader support.

The goal is to provide BVI …

Fall 2025 Student Scholar Symposium Abstract Volume, Chapman University Center For Undergraduate Excellence

Student Scholar Symposium Abstracts and Posters

No abstract provided.

Computational Molecular Docking Of Fluorinated Morphine Derivatives For Improved Pain Management, Mirabella Romano, Emily Chen

Student Scholar Symposium Abstracts and Posters

The opioid epidemic impacts 60 million people worldwide every year. Morphine, a commonly prescribed opioid, binds to the μ-opioid receptor (MOR) in the body via protonation of its tertiary amino group and the MOR. An unfortunate side effect of this binding process is its non-selectivity in both peripheral and central tissues. While activation within inflamed peripheral tissues results in pain relief, activation within central tissues results in the unwanted and addictive side effects of opioids. Because there is a discrepancy in pH between healthy (central) and inflamed (peripheral) tissue, selective binding within the inflamed tissues could provide pain relief without …

Understanding Daily Habits Affect On Mood: A Semester-Long Wellness Analysis, Alexis Caitlin Sweeney

Student Scholar Symposium Abstracts and Posters

This research aims to track and assess lifestyle and personal health behaviors over a semester in order to gain a better understanding of how daily routines impact overall well-being. Ten variables are being monitored, including weight, caffeine intake, sleep duration, napping, exercise frequency, homework hours, Instagram screen time, vitamin use, practicing miles, and mood evaluations on a 5-point scale. I intend to identify trends and relationships between these factors through consistent data collection throughout the semester, such as the effects of sleep and caffeine on mood, motivation, and productivity.

As a student-athlete and health science major, this initiative gives me …

Bridging Machine Learning And Islamic Scholarship: A Study In Hadith Translation And Similarity Analysis, Asiyah R. Speight

Student Scholar Symposium Abstracts and Posters

Translation of Islamic religious texts poses unique challenges requiring both linguistic and theological expertise. This study explores the application of neural machine translation (NMT) models to Arabic-English hadith translation while analyzing semantic similarity patterns across different human translations. Using the complete Sahih Bukhari corpus (7,550 hadiths) as the primary dataset, we adopt a dual approach combining transfer learning and comprehensive neural network analysis to demonstrate the critical impact of corpus size on model performance.

First, we fine-tune a pre-trained MarianMT Arabic-English translation model on the full Sahih Bukhari corpus, comparing models trained on 40 hadiths versus 7,550 hadiths. Performance is …

A Generative Ai Pipeline For Rare Road Scenario Augmentation From Existing Training Datasets, Debarghya Goswami

Electronic Theses and Dissertations 2020 - Present

Autonomous Vehicle (AV) systems have the potential to transform the transportation ecosystem significantly by improving safety and accessibility. One of the core components of any AV is a real-time object detection system. It helps an AV localize its position in the surrounding environment and perform tasks such as maneuver planning and obstacle detection. To make a deep-learning-based object detection system safe and robust, it must be trained on diverse and rare scenarios that can occur in road conditions. However, it is expensive and time consuming to manually create training datasets containing rare road objects or conditions. Synthetic training data can …

Decoding The Chameleon Game, Tri Dang '25, Hieu Tran, Brian T. Howard, Sutthirut Charoenphon, Dat Nguyen '25

Student Research

The Chameleon game is a challenging word association activity where players are given a secret word and must respond with words relevant to that secret word. It requires strategic thinking and deduction. The Chameleon must cleverly guess the secret keyword in this game while avoiding suspicion. Our research aims to create an advanced artificial intelligence (AI) model that can play the Chameleon game from both perspectives: as the Chameleon and as a Human. This AI is designed to guess secret keywords based on the information provided by the players, choose the best strategies to avoid detection as the Chameleon, identify …

Efficient Routing For Software-Defined Wireless Sensor Networks: A Naïve Bayes Approach, Amine Tcherak, Samia Loucif, Mohamed Ould Khaoua

All Works

Wireless Sensor Networks (WSNs) form the backbone of Internet of Things (IoT) applications. Software-Defined Networking (SDN) is an emerging networking paradigm that extends the lifetime of WSNs by transferring the resource-intensive routing task from sensor nodes to a centralized controller. However, many SDN-based routing schemes for WSNs employ inefficient algorithms at the controller. Traditional shortest-path methods often create traffic imbalances across neighboring nodes, while Reinforcement Learning (RL)-based approaches typically generate excessive control traffic. Both issues accelerate energy depletion and reduce network lifetime. Moreover, existing algorithms frequently overlook critical factors, such as buffer occupancy, when selecting relay nodes, which can lead …

The Nature And Distribution Of Road Sediment Contaminants In The Greater Las Vegas, Nevada Area, K. J. Gokey, M. Gillis, Kenneth L. Brown, N. Renkes, C. L. Mcleod, M.P.S. Krekeler

Geology and Environmental Geoscience Faculty Publications

Road sediment is an underutilized medium in the investigation of environmental pollution, yet it serves as both a source and sink for a wide array of pollutants. In urban areas especially, contaminants present within road sediment have the potential to pose human health risks depending on the abundance, chemical, and physical nature of these contaminants as well as the duration (i.e. acute or chronic) of exposure. Las Vegas, Nevada is currently one of the fastest growing urban areas in the United States and is therefore a prime location for the investigation of potential environmental contaminants and pollutants in road sediment. …

Viability Of Widely Used Encryption Schemes In Drone Transmission, Emanuel Yasir Nelson

Cybersecurity Undergraduate Research Showcase

This paper presents throughout research on the security issues related to drone transmission. These topics were addressed and explained, in particular the aspects relating to cybersecurity, for utmost clarity. These include threats and vulnerabilities, drone transmission the impact of encryption on latency, and the details of the encryption methods AES-128, AES-256, and ChaCha20 that were used in the experiment described in the paper. Each encryption method performance was measured and outputted by the Python code developed and used in the experiment. Afterwards, the performance of each method was analyzed in relation to their decryption time, encryption time, end to end …

Artificial Intelligence In Higher Education: Opportunities And Challenges, Maytha Al-Ali, Adam Marks, Jasur Umirzokov, Noura Metawa

Iraqi Journal for Computer Science and Mathematics

While AI is often presented as a panacea for the challenges facing higher education, there is limited empirical evidence supporting its effectiveness in improving student learning and institutional performance. This gap between expectation and reality emphasizes the need for rigorous research, realistic goal-setting, and careful planning to ensure that AI technologies deliver on their promises in higher education. This study contrasts the potential utilization of AI technologies in Higher Education from the literature, against actual utilization in universities. The study also investigates the key barriers of AI implementation in higher education. This study uses a mixed-research methods approach, including case …

Retracted: Ai-Driven Flood Prediction, Monitoring, And Warning Systems: Design, Evaluation, And Simulation, Abdel Rahman A. Alkharabsheh, Lina M. Momani

Iraqi Journal for Computer Science and Mathematics

The Climate is becoming increasingly unpredictable, while the incidence of extreme weather is on the rise — both are contributing to surging global demand for advanced flood forecasting and monitoring services. This paper introduces an AI-powered Flood Monitoring and Warning System (FMWS) through an IoT sensor network, scalable real-time data analytics, and Machine Learning (ML) models to enhance the accuracy of prediction, risk analysis, and early warning dissemination in the notified areas. Hydrological and meteorological data would be collected by an ultrasonic sensor, a radar sensor, and a pressure sensor interfacing via GSM/GPRS, Wi-Fi, LoRa, or satellite network links. Machine …

Technology Use In Elementary Music Education: A Scoping Review, David T. Casali

Journal of the Association for Technology in Music Instruction

The purpose of this scoping review was to look at how music technology has been used in the elementary music classroom from 2020 to April 2025. Uses of technology were organized using the Substitution, Augmentation, Modification, and Redefinition (SAMR) model (Puentedura, 2006). Only articles that both described how technology was used and what the learning process looked like were included. A total of 26 articles met the criteria for inclusion. Multiple uses of technology across the four levels of the SAMR were represented from 14 different countries. An article from each of the four SAMR levels is described in depth …

Global-Local Method For Poroelasticity Problems With Localized Pressure Effects, Hemantha Kunwar

Math Department Colloquium Series

In many poroelasticity applications, pressure effects are confined to a small region, making it inefficient and possibly unnecessary to solve the full system across the entire domain. Instead, we propose to solve the poroelasticity problem locally, where pressure effects are significant, and use a simpler linear elasticity model elsewhere. This creates a coupled elasticity–poroelasticity problem with transmission conditions. To solve this coupled problem, we propose a new non-intrusive global–local algorithm that iteratively solves the elasticity problem in the entire (global) domain and the poroelasticity problem only in a local domain, ensuring proper transmission conditions across the interface. This approach, which …

Show, Don't Tell: Looking For New/Old Strategies For Assessing Design Work, Kristina Andersen, Joep Frens, Janet Yi-Ching Huang

IASDR Conference Series

Design education is centered on making and reflecting, as a way to `work through' the process of becoming a designer. To do this, we rely on project-based learning that often culminates in reports alongside demonstrations and show-and-tell. Over the years, we have seen an increased reliance on language to validate student design ideas, and written reflections have become a way of assessing learning. With Generative AI becoming more widespread, such deliverables risk becoming less reflective or even meaningless. At the same time, some of our students treat written reflections as a necessary evil to be done on the eve of …

Teaching Design In The 21st Century: New Studio Pedagogies For Emerging Challenges, Wonjoon Chung

IASDR Conference Series

The rapid integration of artificial intelligence (AI) and other advanced technologies is driving a new paradigm shift in design education, calling for a re-examination of traditional studio pedagogies. This paper argues that current design curricula, often constrained by rigid academic schedules and a focus on polished final deliverables, inadvertently foster a fear of failure and discourage the iterative, exploratory processes that are essential for creativity. To address these systemic issues, this paper proposes a pedagogical framework that reconceptualizes the design studio as a space for cultivating creative confidence, adaptability and resilience in the face of uncertainty. Drawing on Edward de …

Co-Creating Futures Of Communication: Three-Phase Speculative Co-Design With Adults Of The One-Child Generation, Ines Ziyou Yin, Xinjun Miao, Yirong Jiang, Yijun Yin, Kin Wai Michael Siu

IASDR Conference Series

Traditional linear models of human communication inadequately address emotional and social dynamics in everyday contexts. This study explores speculative futures of interpersonal communication through research through design (RtD) paradigm, integrating participatory co-creation, speculative design, role-playing, and Generative Artificial Intelligence (GenAI). Situated within the socio-cultural context of China’s one-child generation in the Greater Bay Area (GBA), the research transcends linear transmission metaphors in existing information communication technologies (ICTs) to address subtle interpersonal needs among friends. The study adopts a three-phase methodology, including a co-design workshop to generate speculative scenarios, designer-AI collaboration to refine scenarios, and a role- playing session to generate …

Gameful Experiences In Vr Game: Comparison Between Eye-Gazing And Controller Interaction, Gong Zhengya, Nurmela Petra, Colley Ashley, Georgiev Georgi V., Häkkilä Jonna

IASDR Conference Series

As virtual reality (VR) technology continues to advance, researchers are exploring new interaction methods to enrich players’ gameful experiences. While handheld controllers remain the standard input device, emerging alternatives, such as eye-gazing, offer novel and potentially more engaging ways to interact within VR environments. This study examines how different interaction methods—traditional handheld controllers versus eye-gazing—affect players’ experiences during gameplay. A VR game was developed to support both input methods, and 22 participants engaged with the game under both conditions. Their experiences were assessed across multiple dimensions, such as playfulness, immersion, and competition. The results revealed significant differences in two gameful …

Xrecycle: A Gamified Xr System For Enhancing Youth Engagement And Learning In Plastic Recycling, Yuhao Li, Mingming Wang, Hanzhe Bao, Yuhao He, Tiantian Lo, Henry Duh

IASDR Conference Series

This study proposes XRecycle, a physical-digital (phygital) gamified system that integrates extended reality (XR) technologies with game-based learning mechanisms to address challenges in engaging youth in plastic recycling within high-density cities like Hong Kong. The system merges tangible devices made from locally recycled plastics with immersive virtual environments, forming a multi- layered framework of main tasks, side quests, and reward feedback. A mixed-method study with 20 participants validated the system ’ s effectiveness in enhancing circular literacy and sustaining behavioral motivation. Quantitative results revealed significant improvements in knowledge retention and engagement. Qualitative feedback suggested that participants were particularly drawn to …

"The Limbs That I Built": Understanding In Co-Creation Human Augmentation Design And User-Driven Testing, Keren Zhang, Kin Wai Michael Siu, Yijia Jiang, Shiyu Liu, Huiyi Zhang

IASDR Conference Series

Current co-creation design research on human augmentation technologies focuses primarily on restoring functions for individuals with disabilities, overlooking the increasing potential demand for augmentation among ordinary users. To bridge this research gap, this study combined speculative design with user co-creation workshops to examine the practical implications and behavioural impacts of supernumerary robotic limbs (SRLs) on everyday users. Initial questionnaires and interviews (n=42) revealed considerable user interest, particularly regarding upper limb and back augmentations. Based on these insights, we collaboratively developed two prototypes: the 'Mirror Hand', which enhances grasp capabilities by mirroring finger movements, and the 'Third Akimbo', a robotic arm …

Who Designs, Who Teaches, Who Knows? Negotiating Co-Creation With Visually Impaired Children, Anqi Rong, Nina Hansopaheluwakan-Edward

IASDR Conference Series

This article examines how co-creation reshapes roles, power relations, and material practices in the design of tactile learning resources for visually impaired children (VIC). Drawing on Cultural-Historical Activity Theory (CHAT) and interviews, prototyping sessions, and observations in Chinese educational settings, the study highlights three under explored dimensions of co-creation: (1) the recalibration of power from hierarchical expertise to fluid, reciprocal collaboration, (2) the active agency of tactile materials as non-human co-authors, and (3) the cultural-technical hybridity that enables design innovations to scale within broader educational and policy landscapes. Contrary to top-down or purely technological approaches, findings reveal that effective co-creation …

Uncovering Usability Problems Of A Hospital Online Appointment Platform: Insights From Hierarchical Task Analysis And Cognitive Walkthrough, Yongsheng Tan, Yu-Hsiu Hung, Ching-Yi Yau

IASDR Conference Series

To date, online appointment platforms (OAPs) have achieved widespread adoption within healthcare systems. While they offer significant convenience, they also present considerable challenges during use, particularly for inexperienced novice users or individuals who did not grow up in the internet era. Therefore, identifying usability issues within these online systems and analyzing their attributes and potential impact is essential. This study employed the Hierarchical Task Analysis (HTA) and Cognitive Walk through (CW) evaluation methods to analyze usability problems in an OAP. First, HTA was utilized to decompose the OAP process into a series of executable tasks. Subsequently, CW was applied to …

Metacognitive Cycle Design Based On Aigc And Science Exploration Autonomous Games, Li Yi, Yanfei Xu

IASDR Conference Series

OBJECTIVE: This study aimed to explore the facilitating effect of AI-generated content (AIGC)–assisted science exploration autonomous games on children’s metacognitive development, to propose a metacognitive cycle design, and to verify its effectiveness through experimental methods. METHODS: The study was conducted with 60 five-year-old children in a public kindergarten in Hunan Province, China. The experimental group received a science exploration autonomous game with AIGC assistance and a metacognitive cycle design intervention, while the control group played regular autonomous games only. Quantitative and qualitative methods were used to measure and analyze changes in children’s metacognitive levels. RESULTS: The metacognitive ability of the …

Designing Led Expressions In An Interactive Ai Product, Jounghyuna Kim, Kwanmyung Kim

IASDR Conference Series

As AI is increasingly integrated into everyday products, LED expressions offer a compact and intuitive channel for communication. While LEDs are widely used as simple indicators, their expressive potential remains under explored in design research. This study aims to investigate how LEDs can be designed to convey various types of messages more expressively and communicatively. To this end, we adopted a three-step research process based on a design methodology: (1) design ideation workshop to collect possible messages and their corresponding expression, (2) creating LED expression GIF animations following the design guidelines, and (3) an online survey to evaluate the appropriateness …

Co-Designing Tools For Dialogic Learning: Insights From The "Datafy" Project, Yu-Yu Liu, Maja Dybboe, Johanne Birkkjær Bjerrum, Johannes Ellemose, Christian Dindler

IASDR Conference Series

This study presents a co-design process for developing tools that foster critical data literacy in K–12 education through dialogic learning opportunities. Adopting a research-through-design approach, we explore how teachers and interdisciplinary researchers can co-create con textually grounded, pedagogy- informed learning artefacts. In this paper, we document the co-design process, describe the resulting artefacts, and report classroom observations involving 40 students and two teachers using these tools in a primary school. Our findings highlight: (i) how artefact-enabled dialogic learning opportunities shaped children’s learning experiences and (ii) the process and outcomes of interdisciplinary co-design with teachers. Our results underscore the value of …

The Emergence Of Cultural Signals In Typographic Systems, César Arturo Puertas, Juan Alfonso De La Ros

IASDR Conference Series

This paper explores how through visual analysis of contemporary design of typographic systems in Colombia, it is possible to create a custom framework for clustering and analysis to help recognize the possible emergence of cultural signals of colonised communities and cultural groups. Based on that framework we described these signals in four categories: Abstracted indigenous heritage (cultural revival); hybrid graphic vernacular (vernacular typography); Indigenous linguistic forms (direct linguistic revival); and hybrid cultural abstraction (indirect linguistic revival). We argue that local/regional type design and typography are increasingly serving as a medium of cultural resistance (intentional or unintentional), where designers engage with …