Digital Commons Network^™

Privacy-Preserving Federated Learning With Optimized Ensemble Weighting And Knowledge Distillation For Covid-19 Detection From Non-Iid Medical Imaging Data, Richard Annan, Hong Qin, Robert Newman, Madhuri Siddula, Letu Qingge

Computer Science Faculty Publications

Medical imaging enables rapid and accurate diagnosis of COVID-19, with CT scans proving especially effective. However, data privacy concerns limit collaborative model development across hospitals. To address this issue, we introduce a novel federated learning framework. It is referred to as Independent Knowledge Distillation with post-Ensemble Federated Learning (IKDEFL). Differential Privacy (DP) is integrated into the framework to improve privacy guarantees. Three DP mechanisms are evaluated. These include Fixed Gaussian, Gaussian Adaptive, and Tree Adaptive. The evaluation has been conducted on heterogeneous and Non-Independent and Identically Distributed (Non-IID) datasets. These datasets reflect real-world hospital scenarios. Results show that IKDEFL significantly …

Attf-Gnn: An Attention-Based Multi-Omics Graph Neural Network With Modality Learning For Disease Subtyping, Sovon Chakraborty, Eleni Adam, Terry Stilwell, Harold Riethman, Desh Ranjan, Pratip Rana

Computer Science Faculty Publications

We propose AttF-GNN, an attention-based graph fusion strategy for diseases classification and subtyping. In multiomics analysis, not all types of molecular data are equally relevant for disease subtyping and considering all modalities equally may obscure discriminative signals and limit the effectiveness of predictive models by overlooking modality-specific contributions. Therefore, we design an attention-based multimodal GraphSAGE framework that can automatically emphasize the modalities providing the most relevant information for classification. At first, we have constructed three graphs using mRNA, RNA-seq and DNA methylation modalities, and train each omics with individual GraphSAGE encoders. Next, a unified intersection graph is formed using an …

An Investigation Of Federated Gnns Under Aggregation, Data Poisoning, And Differential Privacy For Icu Length-Of-Stay Prediction, Shakib Mahmud Dipto, Soumya Banerjee, Sandip Roy, Ahmad F. Al Musawi, Preetam Ghosh, Sachin Shetty, Pratip Rana

Computer Science Faculty Publications

Accurate prediction of ICU Length of Stay (LoS) is essential for clinical decision-making and healthcare resource management. Graph Neural Networks (GNNs), such as GraphSAGE, offer a natural fit by capturing patient data from Electronic Health Records (EHRs) through graph structures. However, the distributed and sensitive nature of this data raises both privacy and legal concerns regarding the aggregation and training of GNN models. This additionally leads to issues with data imbalance and model robustness. In this study, we perform an analysis of the Federated Graph Neural Network (GNN-FL) framework to enable decentralized learning on EHRs derived from the MIMIC-III dataset. …

Isotropic Shrinkage Of Patterned Vacancies Enables Three-Dimensional Nanoprecise Metastructures For Visible Light Applications, Quansan Yang, Gaojie Yang, Takahiro Nambara, Hiroyuki Kusaka, Yuichiro Kunai, Alex C. Matlock, Corban Swain, Brett Pryor, Yannick Salamin, Daniel Oran, Hasindu Kariyawasam, Ramith Hettiarachchi, Dushan Wadduwage, Marin Soljačić, Peter T. C. Soflaei, Edward S. Boyden

Computer Science Faculty Publications

Three-dimensional metastructures with nanoscale feature sizes exhibit unique properties compared with structures with larger feature sizes, but are difficult to fabricate. Here we introduce implosion carving (ImpCarv), a method for photopatterning vacancies of complex geometry throughout materials, followed by isotropic shrinkage (>10-fold). ImpCarv works by photoactivating sensitizers to generate reactive oxygen species that cleave a swollen hydrogel at defined points, followed by controlled shrinkage via dehydration. ImpCarv creates three-dimensional metastructures where the refractive index of each point throughout a material can be specified with nanoscale precision via material presence or absence. By leveraging refractive index programmability for precise phase …

Toward A Centralized Cross Domain Database For Reproducibility And Replicability Studies, Rochana R. Obadage, Sarah Rajtmajer, Jian Wu

Computer Science Faculty Publications

Reproducibility and replicability (R&R) are structural properties of scientific knowledge, yet existing R&R evidence remains fragmented across domains and initiatives. We present an ongoing effort to develop a centralized, cross-domain database of R&R studies that links published works to their corresponding R&R attempts and supporting assessments. Bibliographic metadata and title-based matching through scholarly indexing services identify canonical records and persistent identifiers. A heuristic, uncertainty-aware matching algorithm supports intra-source and inter-source deduplication, complemented by manual review of ambiguous cases. A unified schema accommodates heterogeneous assessment frameworks and records original studies, R&R studies, assessments, aggregated summaries, and source provenance. The database currently …

Replicatorbench: Benchmarking Llm Agents For Replicability In Social And Behavioral Sciences, Bang Nguyen, Dominik Soós, Qian Ma, Rochana R. Obadage, Zack Ranjan, Sai Koneru, Timothy M. Errington, Shakhlo Nematova, Sarah Rajtmajer, Jian Wu, Meng Jiang

Computer Science Faculty Publications

The literature has witnessed an emerging interest in developing and evaluating AI agents for automated assessment of research claims in scientific papers. Existing benchmarks focus primarily on the computational aspect of this task, testing agents' ability to reproduce or replicate research outcomes when having access to the code and data. This setting, while foundational, (1) fails to capture the inconsistent availability of new data for replication as opposed to reproduction, and (2) lacks ground-truth diversity by focusing exclusively on fully reproducible or replicable papers, thereby failing to evaluate an agent's ability to identify non-replicable research. Furthermore, most benchmarks only evaluate …

Attention-Based Multi-Omics Fusion For Drug Synergy Prediction, Kusal Debnath, Pratip Rana, Preetam Ghosh

Computer Science Faculty Publications

Drug combination therapy in disease management gained popularity in the last few decades. Computational modeling of such combinations is an active area of research in the drug discovery domain. While earlier approaches solely emphasized on the structural features of participating drugs for designing synergistic models, they lack other crucial factors directly linked with drug administration - omics expressions. As differential omics expression is a downstream consequence of the administered drug combinations, utilizing such expressions while designing synergistic models promises robust and dynamic modeling. In this work, we propose SynergyLM that fuses multi-omics features with drug embeddings to build an omics-aware …

Exploring The Relationship Between Bmi Classification And Levels Of Food Noise, Edmarie Billosillo

Loma Linda University Research Reports

Rising rates of obesity in the United States necessitates an understanding of the multitude of factors that contribute to it. Recently, “food noise” has emerged as a topic of interest in this space. The current survey-based observational study aimed to understand the relationship between Body Mass Index (BMI) and levels of food noise. The results indicate a significant association between BMI and food noise levels and a connection between a history of disordered eating and food noise levels. Additionally scores on the Food Noise Questionnaire (FNQ) and the Food Cravings Questionnaire - Trait – reduced (FCQ-R-r) were found to be …

Comparing Perceived Ideal Protein Intake In Plant-Based Versus Meat-Based Diet Consumers, Gysel Avendano, Saya Iwanaga

Loma Linda University Research Reports

High-protein diets have gained significant popularity in both social media and public discussion and more recently, a significant rise in protein consumption has been observed. Existing research has reported differences in actual protein intake across dietary patterns, with animal-based diets generally associated with higher total protein intake compared to plant-based diets. This growing focus on protein raises important questions about perceived ideal protein intake and the factors that shape it.

The primary objective is to compare perceived ideal protein intake among Southern California adults consuming meat-based versus plant-based diets. Additionally, we explored the influence of protein-related knowledge, beliefs, values, information …

Investigating The Impact Of Seed Cycling On Menstrual Regularity, Dysmenorrhea, And Premenstrual Symptoms, Victoria Llerena, Sumrite Aeri

Loma Linda University Research Reports

Menstrual irregularities and dysmenorrhea are common in reproductive-age women and can affect quality of life. This study examined whether seed cycling could improve menstrual health in women with irregular cycles or menstrual discomfort. In this single-arm intervention study, women aged 18 - 45 consumed flax and pumpkin seeds during the follicular phase and sesame and sunflower seeds during the luteal phase for three menstrual cycles. Cycle length and symptoms were tracked monthly using smartphone health apps and the Menstrual Health Symptom Questionnaire (MHSQ). Sixteen participants completed the study. Repeated measures across baseline and 1-, 2-, and 3-month follow-ups were analyzed …

Preoperative Patient Sentiment Is Associated With Postoperative Outcomes In Adult Spinal Deformity Surgery, Ross J. Gore, David Mazur-Hart, Mohan K. Sunkara, Aaqib Ali, Qizar Ali, Christopher J. Lynch, Christopher Ames

Center for Secure and Intelligent Critical Systems (CSICS) Publications

Study Design: Prospective observational pilot study of adult spinal deformity surgery patients.

Objective: To determine whether preoperative patient sentiment, quantified using a 21-class valence scale extending the CARP paradigm implemented through an offline Large Language Model, predicts postoperative outcomes.

Summary of Background Data: Predicting adult spinal deformity surgery outcomes remains challenging with traditional clinical and radiographic parameters alone. Although patient psychological factors and expectations significantly influence postoperative satisfaction and quality of life, systematic approaches to capture these factors are underdeveloped. Offline Large Language Models offer scalable, privacy-preserving psychological risk stratification.

Materials and Methods: We prospectively enrolled 18 patients undergoing adult …

The Emerging Social Media Water Cooler? Motivations For Reddit Use In A Niche League, Jan Boehmer, Brendan O'Hallarn

Communication & Theatre Arts Faculty Publications

Social media play a key role in sport marketing—with athletes, teams, and leagues directly engaging with their audiences. While Facebook, Instagram, and Twitter have received much attention in the sport marketing and communication literature, research on Reddit is scant. This is particularly noteworthy, as the platform is growing rapidly and promises utility for users with nonmainstream interests to find and engage with each other. This study employs a uses and gratifications approach to investigate how prevalent Reddit use is among fans of the United Football League (UFL), what motivates users to engage with the platform, and whether Reddit use leads …

Stages Of Being Foreign As Portrayed In Daughter Of Keltoum And Lost Birds, Fran Hassencahl

Communication & Theatre Arts Faculty Publications

In this paper, I use the intercultural communication model, The Stages of Being Foreign, developed by anthropologist Oberg (1960) and modified by Gullahorn & Gullahorn (1963), Lewis & Jungman (1986), and Ward, Bochner, and Furnham (2001) to explain the experience of culture shock. This model describes the stages that individuals experience when they leave, either voluntarily or involuntarily, their home country/culture and must adapt to a new culture. These stages as described by Oberg are a preliminary stage (a spectator stage), an increasing participation stage, the pit of the culture shock stage, the adaptation stage, and for some migrants a …

Preoperative Patient Sentiment Is Associated With Postoperative Outcomes In Adult Spinal Deformity Surgery, Ross J. Gore, David Mazur-Hart, Mohan K. Sunkara, Aaqib Ali, Qizar Ali, Christopher J. Lynch

Center for Secure and Intelligent Critical Systems (CSICS) Publications

Study Design:

Prospective observational pilot study of adult spinal deformity surgery patients.

Objective:

To determine whether preoperative patient sentiment, quantified using a 21-class valence scale extending the CARP paradigm implemented through an offline Large Language Model, predicts postoperative outcomes.

Summary of Background Data:

Predicting adult spinal deformity surgery outcomes remains challenging with traditional clinical and radiographic parameters alone. Although patient psychological factors and expectations significantly influence postoperative satisfaction and quality of life, systematic approaches to capture these factors are underdeveloped. Offline Large Language Models offer scalable, privacy-preserving psychological risk stratification.

Materials and Methods:

We prospectively enrolled 18 patients undergoing adult …

Cybersecurity Center For Offshore Wind Energy (Final Project Round), Sachin Shetty

Center for Secure and Intelligent Critical Systems (CSICS) Publications

This project establishes a Cybersecurity Center for Offshore Wind Energy with the objective of designing and operating a cyber-physical testbed for wind energy farms (WEFs) that enables comprehensive cybersecurity research. The testbed incorporates a Supervisory Control and Data Acquisition (SCADA) system connected to turbine models via industrial-grade programmable logic controllers (PLCs) and remote terminal units (RTUs). It supports side-channel data acquisition, implementation and analysis of various cyberattack scenarios, and development of attack detection, mitigation, and best-practice guidance tailored to wind energy systems. During the project, the team expanded the number and fidelity of mathematical turbine models (MTMs), integrated these models …

Multisystem Predictors Of Dynamic Gait Stability Across Fall Risk In Older Adults, Ashwini Kulkarni, Neda Moghim, Ross Gore, Soumya Banerjee, Christopher K. Rhea, Brittany Samulski

Rehabilitation Sciences Faculty Publications

Gait stability arises from interactions between physiological, cognitive, and psychological systems, yet these domains are often assessed in isolation. This study examined multisystem predictors of anteroposterior margin of stability during walking (MoSAP) in community-dwelling older adults. Of 340 participants, 143 were retained after data quality screening (105 females; age: 70.8 ± 7.8 years). Participants completed the Physiological Profile Assessment (PPA), cognitive testing using Montreal Cognitive Assessment (MoCA), fear-of-falling evaluations using Modified Falls Efficacy Scale (MFES) and a biomechanical gait assessment during preferred and fast speeds. Participants were stratified into four PPA-based fall-risk groups: low, mild, moderate, and high risk. MoSAP …

Navigating Technology In The Secondary Ela Classroom: Written By Teachers For Teachers, David M. Grant, Alexandra Parham, Ashley Webb, Kimberly Cavalier, Erin Neebel, Amber Schouten

Faculty Book Gallery

This collection is a digital project of dedicated teacher-scholars who met in the summer of 2025 as part of the University of Northern Iowa’s graduate program in Teaching English in the Secondary Schools (TESS). Using the theoretical lens of multiliteracies, developed by the New London Group in the 1990s, students examined the impacts of several electronic and digital technologies on their students and their teaching, especially Artificial Intelligence, or A.I. Through fiction, nonfiction, and discussion, students considered the changes, the challenges, and the opportunities these technologies held. Most importantly, they investigated what these developments meant for their teaching, their districts, …

A Snapping Surprise, Brian Chan Do, Elliot L Busch Dpm, Megan Ferderber Md

Fellows and Residents

No abstract provided.

Crisis-Related Digital Media Exposure And Youth Mental Health: A Dose-Response Meta-Analysis, Emmanuel Annor Md, Laticia Womack, Ritu Sidgal, Venkata S. Lokireddy Md, Dhanalakshmi Ramasamy Md

Fellows and Residents

No abstract provided.

Developing A Portable Ultrasound Quick Guide To Enhance Point-Of-Care Training In Primary Care, Gurpreet Bharaj Md, Solomon Saul Do

Fellows and Residents

No abstract provided.

The Kidney Connection: Sepsis In Hospitalized Lupus, Muhammad Usman Zafar Md, Syeda Haris Mustafa Zaidi Md, Ansar Aziz Md, Sejal Lakhani Do, Courtney Hill Do

Fellows and Residents

No abstract provided.

More Than Just A Sprain? Investigating Weakness And Reported Instability After Knee Trauma, Bradley Rivotto Do

Fellows and Residents

No abstract provided.

Beyond Hereditary Xerocytosis: Chronic Hemolysis Due To A Non‑Classic Piezo1 Variant With Sickle Cell Trait As A Potential Modifier, Daniel Üblagger Md, Emily Jacobson, Beamon Agarwal Md, Phd, Jacob Troutman Do

Fellows and Residents

No abstract provided.

Crypto Exchanges In Market Regulation, Yesha Yadav

Vanderbilt Law Review

The cryptocurrency market has proven notoriously challenging to regulate despite a decade during which it has gained in economic size, sophistication, and cultural impact. Even as repeated crises have left ordinary savers wiped out, regulation has shown itself to be woefully absent as a means of mitigating risks ex ante or helping cover the cost of damage ex post. This Article looks to break this deadlock by proposing a tried-and-tested solution: It argues that regulators should task crypto exchanges with providing oversight as self-regulatory organizations of the crypto market in which they play an anchoring role. It offers three supporting …

Presidential Immunity: Before And After Trump, Thomas P. Schmidt

Vanderbilt Law Review

'All the officers of government," the Supreme Court said long ago, "from the highest to the lowest, are creatures of the law, and are bound to obey it." Despite that ringing and categorical language, however, the Court has held that the President-the "highest" and most powerful of all government officers-is "immune" from judicial oversight in several respects. Indeed, when the Court held last Term that former presidents are presumptively immune from criminal prosecution for officials acts, the dissenters warned: '`n every use of official power, the President is now a king above the law."

This Article unpacks the various presidential …

Final Annual Operations And Maintenance (O&M) Report: Butte Treatment Lagoon (Btl) System – 2023, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

2024 Annual Operations And Maintenance Report 2024 Bres Annual Summary Report For Work Completed In Quadrant 4, Butte-Silver Bow Department Of Reclamation And Environmental Services

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Voyage Of Injustice: The Socioeconomic Exploitation In The Cruise Industry, Tarissa L. Peterson

Vanderbilt Journal of Transnational Law

No abstract provided.

2024 Annual Operations And Maintenance Report - 2024 Bres Annual Summary Report For Work Completed In Quadrant 4, Butte-Silver Bow Department Of Reclamation And Environmental Services

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

A Phenomenological Analysis Of Sense Of Belonging Among Community College Educators, Muhammad Owais Aziz

EVMS School of Health Professions Theses & Dissertations

This phenomenological study explored the complex phenomenon of sense of belonging (SB) among diverse health professions educators (HPEs) and non-health professions educators (non-HPEs) at a Canadian community college. SB, as a dynamic construct shaped by an individual's perception of being valued and respected, is influenced by personal preferences and by complex interactions with the individual's surroundings. To better understand SB and foster a more inclusive environment for diverse educators, it is necessary to investigate SB among these educators. This qualitative study used eleven semi-structured interviews and seven steps of data analysis. The results of this study can inform strategies, policies, …