Digital Commons Network^™

Fraud Detection And Explanation In Medical Claims Using Gnn Architectures, Reem Muhammad, Dina Tbaishat, Amril Nazir, Seif Yacoub, Mustafa Abdulrazek, Mohamed Ahmed Abo El-Enen, Ahmed T. Sahlol

All Works

This paper addresses the critical challenge of fraud detection in medical insurance claims-a pervasive issue causing significant financial losses in healthcare-using Graph Neural Networks (GNNs). Given the intricate nature of healthcare data, traditional fraud detection methods do not inherently capture the complex relationships and patterns among different entities. We explore the potential of GNNs to effectively identify fraudulent claims by modeling the interactions among various entities-such as patients, healthcare providers, diagnoses, and services-as a heterogeneous graph. We employ two state-of-the-art heterogeneous GNN architectures, HINormer (Heterogeneous Information Network Transformer) and HybridGNN, along with a modified homogeneous GNN, RE-GraphSAGE (GraphSAGE Graph Sample …

Assessment And Management Of Albuminuria In Adults, Sophie E. Claudel, Debasish Kar, Azeem Majeed, Pamela S. Burgwinkle, Ashish Verma

Peninsula Medical School

No abstract provided.

The Current Of Anxieties: Ghosts And Capital For The Liminal Bride In Hiroko Oyamada’S The Hole, Maliha Kabir

Electronic Theses and Dissertations

This thesis offers a reading of Hiroko Oyamada’s The Hole as discourse surrounding modern neoliberalism’s dissolution and transformation of boundaries between socio-political domains, such as the public/private, and its consequent effects on individual subjectivity and interpersonal relationships. Within the novella’s depictions of the mundane, I also seek to argue that Oyamada’s employment of the liminal, through distortions of space and time, is used to depict the precarity of marginalization as an always present force due to the pervasiveness of capitalism, but purposefully hidden to maintain security in illusion.

Re: Conditional Approval Letter For The Final Butte Mine Waste Repository Geotechnical Investigation Work Plan (Dated November 14, 2025), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Ai-Generated Content In Cross-Domain Applications: Research Trends, Challenges And Propositions, Jianxin Li, Liang Qu, Taotao Cai, Zhixue Zhao, Nur Al Hasan Haldar, Aneesh Krishna, Xiangjie Kong, Flavio Romero Macau, Tanmoy Chakraborty, Aniket Deroy, Binshan Lin, Karen Blackmore, Nasimul Noman, Jingxian Cheng, Ningning Cui, Jianliang Xu

Research outputs 2022 to 2026

Artificial Intelligence Generated Content (AIGC) has rapidly emerged with the capability to generate different forms of content, including text, images, videos, and other modalities, which can achieve a quality similar to content created by humans. As a result, AIGC is now widely applied across various domains such as digital marketing, education, and public health, and has shown promising results by enhancing content creation efficiency and improving information delivery. However, there are few studies that explore the latest progress and emerging challenges of AIGC across different domains. To bridge this gap, this paper brings together 16 scholars from multiple disciplines to …

Variation In Corneal Biomechanical Properties Following Continuous Cross-Linking Treatment, Daniela Oehring, Chenhao Zhao, Xinyu Yao, Yewei Zhao, Fangjun Bao, Ahmed Elsheikh, Hongjiang Wu, Jiahui Zon, Xuanya Tong, Lan Yang, Xiaofei Zhou, Ying Li, Yanjie Shen, Yufeng Ye, Shihao Chen, Jia Qu, Qinmei Wang

School of Health Professions

BackgroundThis retrospective study aimed to evaluate the ecacy of transepithelial accelerated corneal cross-linking when applied separately (transEpi ACXL) or combined with phototherapeutic keratectomy (transPTK ACXL) in keratoconic eyes using biomechanical parameters.MethodsThe study included eyes with progressive keratoconus treated with either continuous transEpi ACXL or transPTK ACXL with 6 months of follow-up. The following parameters were assessed preoperatively and 6 months postoperatively: biomechanically corrected intraocular pressure (bIOP), maximum and mean keratometry (Kmax and Km), minimum and central corneal thickness (MCT and CCT), corneal coma, best-corrected visual acuity (BCVA), deformation amplitude ratio at the apex and 2 mm nasal/temporal (DAR2), integrated inverse …

“It Haunts Me Still”: Exposure To Potentially Morally Injurious Events In First Responders, Miranda Worthen, Shira Maguen, Soma De Bourbon

Faculty Research, Scholarly, and Creative Activity

Moral injury is a biopsychosocial, behavioral, and spiritual consequence that may occur for individuals in high-risk occupations after acting, failing to prevent, or witnessing events that go against their deeply held morals or values. While there has been extensive research on the types of events that may lead to moral injury for veterans, and a growing literature on healthcare workers, limited research has explored the experiences of first responders. This study builds on a multi-year participatory action research study with a large fire department in northern California aimed at understanding and mitigating moral injury among first responders. The present article …

An Analysis Of Diagnostic Metabolomic Profiles Associated With Hepatotoxicity During Childhood All Induction Therapy, Emily J Mason, Anna M Crain, Michael E Scheurer, Philip J Lupo, Karen R Rabin, Olga A Taylor, Marley Roberts, John P Woodhouse, Ashley Chavana, Kathleen Ludwig, Laura Klesse, Kenneth Heym, Timothy Griffin, Rodrigo Erana, Juan Carlos Bernini, M Monica Gramatges, Joanna S Yi, Sandi L Pruitt, M Brooke Bernhardt, Hong Zhu, Steven D Mittelman, Van Huynh, Etan Orgel, Jeremy M Schraw, Austin L Brown

Faculty, Staff and Students Publications

Hepatotoxicity is a well-documented complication of induction chemotherapy for acute lymphoblastic leukemia (ALL), but our understanding of its biological mechanisms is limited. We identified 314 patients with ALL (aged 1-19 years) treated at Texas Children’s Hospital (2008-2019) with diagnostic bone marrow plasma available for metabolomic profiling: 234 for discovery and 80 for replication. Hepatotoxicity during induction was defined as follows: (1) transaminitis: grade ≥3 aspartate aminotransferase or alanine aminotransferase or (2) conjugated hyperbilirubinemia: conjugated bilirubin (c.bili) >3 mg/dL. Untargeted profiling detected 519 metabolites. Adjusted odds ratios (aORs) for each metabolite were calculated with logistic regression, accounting for sex, age, body …

Turning Patients' Open-Ended Narratives Of Chronic Pain Into Quantitative Measures: Natural Language Processing Study, Raquel Norel, Jennifer Gewandter, Zhengwu Zhang, Anika Tahsin, Chadi G Abdallah, John Markman, Zhiyao Duan, Guillermo Cecchi, Paul Geha

Faculty, Staff and Students Publications

Background: Subjective report of pain remains the gold standard for assessing symptoms in patients with chronic pain and their response to analgesics. This subjectivity underscores the importance of understanding patients' personal narratives, as they offer an accurate representation of the illness experience.

Objective: In this pilot study involving 20 patients with chronic low back pain (CLBP), we applied emerging tools from natural language processing (NLP) to derive quantitative measures that captured patients' pain narratives.

Methods: Patients' narratives were collected during recorded semistructured interviews in which they spoke about their lives in general and their experiences with CLBP. Given that NLP …

Hemorrhage-Related Maternal Morbidity Of Secondary Compared To Primary Postpartum Hemorrhage, Matthew R Carroll, Sarah Tounsi, Jessica L Gerard, Susan M Leong-Kee, Laurie S Swaim, Mark A Turrentine

Faculty, Staff and Students Publications

Objectives: To compare a composite hemorrhage-related maternal morbidity in individuals with secondary to primary postpartum hemorrhage and treatment interventions utilized.

Methods: A retrospective case-control study of deliveries complicated by secondary postpartum hemorrhage was performed at a tertiary care center. To estimate a clinically relevant increase of 50 % in the composite maternal hemorrhage-related maternal morbidity (35-53 % absolute increase) in individuals with secondary postpartum hemorrhage, a correlation coefficient of 0.2, at an 80 % power with a p < 0.05 with a two-sided test would require 95 individuals with secondary postpartum hemorrhage be matched to 95 individuals with a primary postpartum hemorrhage. Logistic regression analysis was used to evaluate the outcome of the composite of hemorrhage-related maternal morbidity.

Results: From January 2018 through December 2022, 33,026 deliveries occurred, and 94 individuals were identified that were admitted with secondary postpartum hemorrhage, …

Hemolysis Detection Using The Gem 7000 At The Point Of Care In A Pediatric Hospital Setting: Does It Affect Outcomes?, Ridwan B Ibrahim, Nazmin Bithi, Charlene Hernandez, Hanna Uhrova, Brandy D Recio, Sridevi Devaraj

Faculty, Staff and Students Publications

No abstract provided.

Nivolumab Plus Ipilimumab Induce Hyper-Progression In Renal Medullary Carcinoma: Results Of A Phase Ii Trial And Preclinical Evidence, Melinda Soeung, Xinmiao Yan, Ciro Zanca, Jing Qian, Menuka Karki, Fei Duan, Hania Khan, Li Zhang, David H Peng, Mariah Williams, Rong He, Ziheng Chen, Luigi Perelli, Jianfeng Chen, Rebecca S Tidwell, Pankaj K Chauhan, Courtney N Le, Truong N A Lam, Nirjar Bhattacharya, Rutvi Shah, I-Lin Ho, Jason P Gay, Caroline C Carrillo, Ningping Feng, Kang Le, Guang Gao, Teresa L Perry, Faika Mseeh, Yongying Jiang, Quanyun A Xu, Niki Marie Zacharias, Rahul A Sheth, Tharakeswara K Bathala, Priya Rao, Najat C Daw, Durga N Tripathi, Cheryl L Walker, Mohammad M Mohammad, Jianhua Zhang, Guangchun Han, Yanshuo Chu, Ruiping Wang, Minghao Dang, Enyu Dai, Fuduan Peng, Yunhe Liu, Akshaya Jadhav, Wenhua Lang, Claudio A Arrechedera, Leticia Campos Clemente, Edwin R Parra, Hsinyi Lu, Cara L Haymaker, Ignacio I Wistuba, Andrew Futreal, Andrea Viale, Michael J Soth, Philip Jones, Joseph R Marszalek, Timothy Heffernan, Giulio F Draetta, Nizar M Tannir, Jianjun Gao, Linghua Wang, Giannicola Genovese, Pavlos Msaouel

Faculty, Staff and Students Publications

Therapeutic options for patients with renal medullary carcinoma (RMC) are limited. Here we report the results of a phase II clinical trial (NCT03274258) of anti-PD1 nivolumab plus anti-CTLA4 ipilimumab in patients with RMC, with objective response rate as primary outcome. Enrollment was halted for futility at a prespecified interim analysis as all 10 treated patients experienced rapid disease progression. 5/10 met radiological criteria for hyperprogression and median progression-free survival (secondary outcome) was 1.38 months (95% confidence interval: 1.28, 1.60). In a post-hoc single-cell RNA sequencing analysis, data from patients with RMC before and after nivolumab plus ipilimumab treatment indicated that …

Access To Healthy And Nutritious Food In Utah: Results From The 2024 Utah Wellbeing Survey, Heather H. Kelley, Palak Gupta, Courtney G. Flint

All Current Publications

Every Utahn, regardless of income, ZIP code, race, age, or health status, deserves reliable access to affordable, nutritious, and culturally meaningful food. Yet, too many communities across the state face persistent barriers that limit their ability to eat well and live healthy lives. This fact sheet reviews results of a 2024 Utah State University (USU) Extension needs assessment that identified food and nutrition security as a high-priority issue in Utah. It explores the current landscape, identifies key challenges, and outlines strategic opportunities for USU Extension and its partners to enhance food security statewide.

Preserve The Harvest: Canning Goat Meat At Home, Callie Adams, Andrea Schmutz

All Current Publications

Due to its lean composition and nutritional profile similar to those of other tested meats, goat is well-suited for pressure canning. Follow USDA and Utah State University (USU) Extension altitude guidelines. This fact sheet provides guidelines for selecting high-quality meat, using proper equipment, and adhering to tested methods. Home canners can safely preserve goat meat and enjoy its benefits year-round.

Leaping Between Branches: Hybridisation And The Tangled Evolutionary History Of True Lemurs, Giacomo Mercuri, Giovanni Merici, Kyle Kai-How Farh, Lukas F K Kuderna, Jeffrey Rogers, Tomàs Marques-Bonet, Giuseppe Donati, Riccardo Percudani, Cristian Capelli

Faculty, Staff and Students Publications

The true lemurs (genus Eulemur) are a genetically diverse and spatially widespread group of species inhabiting most of Madagascar's forests. Including 12 recognized species, the genus can be divided into four major evolutionary groups: E. rubriventer, E. mongoz, the Brown Lemur Species Complex (BLSC), and the coronatus-macaco-flavifrons complex (CMFC), although monophyly for the CMFC is not always supported. Recent genome-based studies highlighted topological and chronological differences between nuclear and mitochondrial phylogenies of true lemurs, which could be explained by events of hybridisation. In order to reconstruct the evolutionary history of the genus, we test for gene-flow between Eulemur clades using …

Persistent Ifn-Γ Signaling In Acquired Resistance To Pd-(L)1 Blockade In Nsclc, Vasisht Karri, Samir Dalia

Student Publications

Immune checkpoint inhibitors targeting programmed cell death protein 1 (PD-1) and programmed cell death ligand 1 (PD-L1) have transformed the therapeutic landscape of non-small cell lung cancer (NSCLC), producing durable responses in a subset of patients. Yet for most, clinical benefit is undermined by the development of acquired resistance (AR), a phenomenon that continues to limit the long-term success of immunotherapy. Recent analyses have drawn attention to persistent interferon-γ (IFN-γ) signaling as a paradoxical hallmark of AR: a cytokine typically associated with effective antitumor immunity that, when chronically engaged, sustains immune dysfunction. In this commentary, we synthesize existing literature to …

Prospective Sars-Cov-2 Additional Vaccination In Immunosuppressant-Treated Individuals With Autoimmune Diseases In A Randomized Controlled Trial, Meggan Mackay, Alfred Hj Kim, Et Al.

2020-Current year OA Pubs

BACKGROUND: Individuals with autoimmune diseases (AD) on immunosuppressants often have suboptimal responses to COVID-19 vaccine. We evaluated the efficacy and safety of additional COVID-19 vaccines in those treated with mycophenolate mofetil/mycophenolic acid (MMF/MPA), methotrexate (MTX), and B cell-depleting therapy (BCDT), including the impact of withholding MMF/MPA and MTX.

METHODS: In this open-label, multicenter, randomized trial, 22 participants taking MMF/MPA, 26 taking MTX, and 93 treated with BCDT who had suboptimal antibody responses to initial COVID-19 vaccines (2 doses of BNT162b2 or mRNA-1273 or 1 dose of AD26.COV2.S) received an additional homologous vaccine. Participants taking MMF/MPA and MTX were randomized (1:1) …

The Double-Edged Sword: Polarized Stakeholder Engagement With Corporate Sociopolitical Activism And Its Downstream Effects On Brand Performance, Mithila Guha, Daniel Korschun, Trina Larsen Andras

Faculty Research, Scholarly, and Creative Activity

This study explores how stakeholder reactions to corporate sociopolitical activism (CSA) on ‘X’ influence brand engagement and stock performance. Our research shifts focus from corporate messaging to stakeholder-driven conversations, demonstrating that CSA’s impact extends beyond brand statements and is shaped by public discourse. We analyze both direct replies to brand-authored CSA posts and organic user-initiated discussions, where consumers engage brands using hashtags and mentions. Using data from the 2022 humanitarian crisis in Ukraine, we examine 41,358 targeted user posts referencing 159 publicly traded brands’ CSA engagement. Sentiment analysis and topic modeling of 1,322 brand tweets, 39,578 replies, and stock data …

Towards A Generalized And Optimized Apriori Approach, Artem Abdikov

Master's Theses

Apriori is a machine learning algorithm developed in 1994 by R. Agrawal and R. Srikant for association rule mining purposes. This family of algorithms takes transactional data and analyzes relationships between variables in large datasets. The typical output of such algorithms is a prediction that if users choose item X, it is highly likely that they will also choose item Y. Apriori is known to be a robust algorithm and is used by many large companies in order to analyze user tendencies and even make recommendations. Although Apriori is a powerful algorithm, its original implementation is known to have limitations, …

Changing Perspectives In California: A Transformative Culture Exchange For Stockholm University And Sonoma State University Criminology Students, Bryan Burton, Sofie Hellmer, Vida Wåhlmark, Hope Ortiz, Diana Grant

csuglobalaction

From June 13 to 20, 2024, Sonoma State University (SSU) hosted 16 criminology students from Stockholm University (SU) for an educational and cultural exchange. Five SSU undergraduate “student ambassadors” participated, representing California and SSU while assisting the Swedish students. Surveys indicated the exchange was a meaningful academic and cultural experience for all participants. The Swedish students deepened their understanding of the U.S. criminal justice system through presentations by criminologists and discussions with practitioners on issues such as policing and prison reform. They also gained broader perspectives on California and the United States through interactions with SSU ambassadors and visits to …

Gc-0258 Safecircle:​ Ai And Micro-Radar-Based Remote Monitoring For Patients With Ad/Adrd​, Awan-Ur- Rahman, Soarov Borty, Shakib Quddus

C-Day Computing Showcase

Alzheimer's disease and related dementias (AD/ADRD) is an irreversible and degenerative neurological condition that severely impacts neurons, resulting in cognitive decline and memory loss. This study explores a mHealth system, including a SafeCircle iOS prototype, a novel solution that combines artificial intelligence with cutting-edge micro-radar technology. The platform offers a variety of features, including management of patient and caregiver profiles, real-time alerts in case of emergencies, emergency contact lists, one-touch SOS support, sharing of live locations, and recording of unusual events in video. It is a responsive and reliable care assistant that optimizes patient safety while reducing caregiver burden.

Grm-0267 Learned Heuristics For Efficient A* Search: Improving Pathfinding In Combinatorial Pathfinding Problems, Jamia Jackson

C-Day Computing Showcase

This work proposes a learned heuristic framework designed to improve planning efficiency in deterministic pathfinding tasks. Building on the classic 8-puzzle as an initial test domain, supervised models were trained to approximate heuristic values and guide node ordering during A* search. The proposed approach focuses on modifying and enhancing traditional heuristics such as Manhattan distance by incorporating learned corrections that reduce search depth and node expansions. Experimental results show that the learned heuristic consistently improves search efficiency over standard baselines. Although this evaluation began with the 8-puzzle, the framework establishes a foundation for scaling to significantly larger and more practical …

Grp-0200 Tadps: Thrashing-Aware Dynamic Priority Scheduler For Virtual Memory Systems, Nasim Ahmed

C-Day Computing Showcase

Modern operating systems use multiprogramming and virtual memory to run multiple programs efficiently. When memory demand is high, excessive page swapping causes thrashing, degrading performance. This work introduces a thrashing-aware dynamic priority scheduler (TADPS) that uses page fault frequency to guide CPU scheduling. Processes with high page faults get lower priority, allowing others to progress efficiently. Tests under different memory pressures show that this approach improves CPU use, throughput, and stability compared with baseline schedulers such as FCFS and RR. Specifically, TADPS maintained superior throughput and efficiency, and consistently lower average turnaround time than FCFS and RR.

Grp-0197 Evaluating The Ability Of Llms To Interpret, Optimize And Translate Llvm Ir, Reuven Mueller

C-Day Computing Showcase

This study investigates whether modern state-of-the-art Large Language Models (LLMs) can interpret, optimize, and translate low-level intermediate representations (IR) used in compilers and binary translation software. We evaluate LLM performance on LLVM IR across three tasks: 1) interpreting the underlying algorithmic behavior, 2) identifying missed optimization opportunities, and generating improved IR variants, 3) Translating IR between AArch64 and x86-64 targets. To ensure correctness, all LLM generated IR is checked using a validation pipeline that verifies its syntax, structural correctness, compiles it into machine code, and executes it on randomized test data. Early results show that LLMs can perform non-trivial IR …

Grp-0176 A Comparative Analysis Of Traditional Virtual Machines And Micro Virtual Machines, Tasnim Akter Onisha

C-Day Computing Showcase

Virtualization technologies form the backbone of modern cloud and serverless platforms, but the balance between performance efficiency and strong isolation remains a key research challenge. Using a comparative literature based methodology, benchmark data from empirical studies are synthesized and normalized across four metrics: startup latency, memory footprint, isolation strength, and scalability. The findings show that traditional VMs such as KVM and Xen provide robust, formally verified isolation but incur higher boot times and memory usage, whereas Micro VMs like Firecracker and Kata Containers achieve lower latency (often < 125 ms) and smaller memory footprints (5–30 MB) while preserving VM-level isolation. Overall, Micro VMs deliver near container responsiveness with VM-grade security, making them suited for serverless and edge environments. As a future direction, this study highlights the need for scalable, formally verified Micro VM architectures for next-generation cloud systems.

Grp-0165 Reinforcement Learning For Latency-Aware Priority Boosting In Linux Completely Fair Scheduler, Joseph Natter

C-Day Computing Showcase

Tail latency remains a persistent challenge in Linux’s Completely Fair Scheduler (CFS), particularly when short, latency-sensitive jobs compete with longer ones. Traditional boosting heuristics improve tail latency but require manual tuning and generalize poorly across workloads. This project evaluates whether a reinforcement-learning (RL) controller can dynamically apply priority boosts more effectively than fixed heuristics. Using a discrete-event Python simulator modeled after CFS, this project compares baseline CFS, heuristic boosting, and PPO-based learned boosting under mixed workloads. Results show that while heuristics achieve the lowest absolute latency, RL achieves competitive tail-latency reduction with significantly better fairness and adaptability. A state-space study …

Grp-0161 Predicting The Linux Scheduler’S Next Move With Transformers, Amirmohammad Naddaf Shargh

C-Day Computing Showcase

We study whether deep learning can help the Linux CFS, which makes fair scheduling decisions without using historical behavior and may preempt tasks that are near completion. We adopt a dataset and baseline LSTM from earlier work and introduce a Transformer model to explore predictive scheduling. We train both on real scheduling traces to learn the next selected task and timing trends, and evaluate them using task classification accuracy and direction accuracy. Our results show that the LSTM remains the stronger baseline and captures CFS patterns more effectively than our Transformer model in this comparison under identical conditions for fairness.

Grp-0160 Quantum Anonymous Notification Protocol, Nitin Jha, Prateek Paudel

C-Day Computing Showcase

The scalability of current quantum networks is limited due to noisy quantum components and high implementation costs, thereby limiting the security advantages that quantum networks provide over their classical counterparts. Quantum Augmented Networks (QuANets) address this by integrating quantum components in classical network infrastructure to improve robustness and end-to-end security. To enable such integration, Quantum Anonymous Notification (QAN) is a method to anonymously inform a receiver of an incoming quantum communication. Therefore, several quantum primitives will serve as core tools, namely, quantum voting, quantum anonymous protocols, quantum secret sharing, etc. However, all current quantum protocols can be compromised in the …

Grp-21187 Adaptive Sched_Deadline On Linux For Robotic-Arm Control, Zhiguo Liu

C-Day Computing Showcase

Industrial robot arms often run 500–1000 Hz control loops on general-purpose Linux. Most cycles are on time, but rare long scheduling delays can cause visible end-effector jitter, force spikes, and unstable insertion behavior. Static tuning of priorities and budgets cannot fully remove these long-tail outliers without wasting CPU. This work asks whether a lightweight adaptive layer on top of SCHED_DEADLINE can reduce high-percentile latency while keeping good utilization.

Grp-21186 A Safe Vision-Guided Robotic Injection Control Framework Based On Reinforcement Learning, Zhiguo Liu

C-Day Computing Showcase

This project presents a modular vision-guided robotic framework for safe deltoid intramuscular injection. An external YOLO-based detector localizes the deltoid region and outputs a 3D injection point in the robot base frame. In NVIDIA Isaac Sim, a simulated myCobot 280 arm receives this point, and a deep reinforcement learning policy generates a safe approach pose under kinematic and safety constraints, while a deterministic controller executes the final straight-line insertion and withdrawal. A safety supervisor monitors target validity, joint limits and distance to a simplified arm model, triggering immediate stop and retraction when unsafe conditions arise.