Digital Commons Network^™

Graph Convolution Neural Network And Deep Q-Network Optimization-Based Intrusion Detection With Explainability Analysis, Kelvin Mwiga, Mussa Dida, Leandros Maglaras, Ahmad Mohsin, Helge Janicke, Iqbal H. Sarker

Research outputs 2022 to 2026

As networks expand in size and complexity, coupled with an exponential increase in intrusions on network and IoT systems, this leads to traditional models failing to capture increasingly intricate correlations among network components accurately. Graph Convolution Networks (GCNs) have recently acquired prominence for their capacity to represent nodes, edges, or entire graphs by aggregating information from adjacent nodes. However, the correlations between nodes and their neighbours, as well as related edges, differ. Assigning higher weights to nodes and edges with high similarity improves model accuracy and expressiveness. In this paper, we propose the GCN-DQN model, which integrates GCN with a …

Machine Learning-Based Upscaling Of Rock Permeability From Pore Scale To Core Scale: Effect Of Training Dataset Size And Sub-Core Volumes, Yaotian Guo, Fei Jiang, Takeshi Tsuji, Yoshitake Kato, Mai Shimokawara, Lionel Esteban, Mojtaba Seyyedi, Marina Pervukhina, Maxim Lebedev, Ryuta Kitamura

Research outputs 2022 to 2026

Permeability characterizes the capacity of porous formations to conduct fluids, thereby governing the performance of carbon capture, utilization, and storage (CCUS), hydrocarbon extraction, and subsurface energy storage. A reliable assessment of rock permeability is therefore essential for these applications. Direct estimation of permeability from low-resolution CT images of large rock samples offers a rapid approach to obtain permeability data. However, the limited resolution fails to capture detailed pore-scale structural features, resulting in low prediction accuracy. To address this limitation, we propose a convolutional neural network (CNN)-based upscaling method that integrates high-precision pore-scale permeability information into core-scale, low-resolution CT images. In …

Software Engineering In The Age Of Coding Agents: Failure Modes And Rejection Patterns, Mahd Mohd Hindi

Theses

This thesis investigates the real-world behavior of LLM-driven coding agents that generate code changes and submit pull requests (PRs) to public software repositories. As these tools evolve from autocomplete-style assistants into more autonomous agents, their contributions increasingly interact with socio-technical review processes (human reviewers, bots, CI/CD gates, and project norms). The thesis focuses on understanding why agent-generated PRs are accepted or rejected and what these outcomes reveal about current agent limitations in practical development workflows.

The main objective of this thesis is to systematically characterize rejection patterns and failure modes of agent-generated pull requests in real repositories. Specifically, the thesis …

Joint Capacity Allocation And Job Assignment Under Uncertainty, Peng Wang, Yun Fong Lim, Gar Goei Loke

Research Collection Lee Kong Chian School Of Business

We study a multi-period joint capacity allocation and job assignment problem. The goal is to simultaneously allocate resources across J different supply nodes and assign jobs from I different demand origins to these J supply nodes, so as to maximize the reward for matching or minimize the cost of failure to match. We consider three features: (i) supply is replenishable after some random time, (ii) demand is random, and (iii) demand can wait and needs not be fully fulfilled immediately. Such problems emerge in many service management settings such as fleet re-positioning for car-sharing, and patient management in healthcare. We …

Mermaids In Pools: Ex-Situ Conservation As A Cornerstone For Sirenian Management Worldwide, D. N. Castelblanco-Martínez, E. A. Ramos, A. Alvarez-Alemán, F. L. N. Attademo, L. J. Cabrias-Contreras, D. Caicedo-Herrera, S. S. Landeo-Yauri, F. O. Luna, Miriam Marmontel, J. Sanchez, Carlos J. Silva, Vera Da Silva, Diogo Londero Da Silva, A. A. Mignucci-Giannoni

Faculty Publications

No abstract provided.

Training To The Tech: Fostering The Ethical Adaptation To And Adoption Of Emerging Technologies In The Practice Of Law, Raymond H, Brescia

Fordham Law Review

No abstract provided.

Law's Penal-Professional World Order, Pilar Margarita Hernández Escontrías

Fordham Law Review

The attorney discipline regime has been propagandized as a necessary mechanism to police poor attorney conduct to protect the public. According to this myth, professional associations investigate attorney misconduct and impose sanctions, thus protecting the “noble profession” from attorneys who would tarnish its reputation. Violations of ethics rules lead to investigation, prosecution, and punishment by the state bar. In structure and language, state bars and judicial officers replicate the state in their use of disciplinary frameworks and regimes.

The self-regulating bar is a form of punitive governance used by the state to control entry into and expulsion from the profession. …

“No Further Discussion Necessary”: Compliance As Professionalism In Legal Education, Sarah J. Schendel

Fordham Law Review

No abstract provided.

Shaq Koyok, Indigenous Storytelling, And Puppetry As Resistance, John Kilburn, Ivan Tacey, Emily Tacey

School of Art, Design and Architecture

Shaq Koyok is an Orang Asli indigenous Malaysian artist and activist. Following his keynote talk at the Illustration and the Paper Artefact conference, Ivan Tacey and John Kilburn met with Shaq to discuss how he uses puppetry in his artivist practice.

Towards Automated Assessment Of Students Self-Explanations In Code Comprehension, Jeevan Chapagain

Electronic Theses and Dissertations Archive

The field of computer science faces a significant challenge in meeting the growing demand for skilled graduates, despite increasing interest in CS education. A persistent gap between supply and demand is partly attributed to high attrition rates of 30-40% (or higher) in introductory CS courses (CS1 and CS2). While various interventions have been proposed, the scalable assessment of students’ understanding of programming concepts remains a critical challenge, particularly in the context of code comprehension exercises. This dissertation addresses the challenge of automated assessment in code comprehension by developing and evaluating novel approaches for analyzing students’ self-explanations of program code. We …

A Multi-Dimensional Analysis Of Household Food Waste In The Republic Of Ireland: Drivers, Patterns, And Impacts, Courage Yaw Krah

Doctoral

Despite growing research on consumer food waste, existing efforts have fallen short of achieving meaningful reductions. This challenge has primarily been attributed to the complex behavioural and demographic diversity within populations, reflected in varying practices of food acquisition, storage, preparation, and disposal. In addition, there is a limited understanding of the broader impacts of discarded food, particularly the environmental, economic, and nutritional losses. This results in an oversimplified view of HFW and leads to less effective intervention strategies. An integrated assessment that incorporates environmental, nutritional, and economic consequences can provide a more holistic representation of the problem and support the …

Your Face As Property: Ip Strategies Beyond Right Of Publicity, Nick Cipriani

Cardozo Arts & Entertainment Law Journal (AELJ) Blog

During the Second Industrial Revolution, the source of goods became more important than ever as railroads expediated travel and access to goods across the United States. Today, the United States is in the midst of its third industrial revolution, a digital revolution fueled by silicon and microchips. This digital revolution is unlike the previous two industrial revolutions because biometrics have become commodities. The technologies and goods coming out of the digital revolution are multifaceted. First, they provide a physical good through appliances that allow for communication and shopping, among other things, across geographic borders. Second, they function as a service …

Unveiling The Experiences And Unmet Needs: A Qualitative Exploration Of Undocumented Immigrants Residing In Kansas, Carol Meza, Pedro Hernandez, Alicia Hawley-Bernardez, Christopher Bakke, Staci P. Wolfe

School of Social Work Faculty Publications

Undocumented immigrants in the United States (US) face numerous barriers to accessing services such as healthcare, employment, and social services due to their status. While media and immigration policy focus on the U.S. border states, significant populations of undocumented immigrants exist throughout the U.S. Using qualitative analysis of 20 personal accounts, this study examines their experiences in a Midwestern state through utilizing a strengths-perspective, which emphasizes individual and community assets. Recurrent experiential themes included problems with persistent racism, discrimination, housing, employment, health care, and mental health challenges, while undocumented immigrants demonstrate remarkable resilience. These findings suggest that they can benefit …

Weaponizing Nature, Naturalizing Violence: Anthropologies Of Ecofascism, Chloe Ahmann, Mona Bhan, Alexandra Coțofană, Radhika Govindrajan, Julia Leser, Zeynep Oguz, Yuka Suzuki, Noah Theriault

All Works

After decades of denial and obstruction, the global Right is increasingly willing to acknowledge that climate change is a threat to lives and lifeways everywhere. Moreover, some seize on the specter of ecological collapse to advance fascistic politics. Mass shootings by White men who propose that eliminating racialized people will ease environmental pressures—including in Christchurch and El Paso—have been the most spectacular manifestations of this shift. But close observers note kindred shifts at borders and in boardrooms all across this planet, as far-right groups work not merely to “save the earth” but to save it for specific people, and from …

Optimizing And Fortifying Ai Software Through The Lens Of Artifact Synthesis, Jieke Shi

Dissertations and Theses Collection (Open Access)

Artificial Intelligence (AI) has transformed the software landscape, ushering in a new era of intelligent systems that increasingly shape our daily lives. This transformation is evident in various domains, including Software Engineering (SE), where Large Language Models (LLMs) support many development tools, and control systems, where self-driving cars and autonomous drones rely on deep learning models for real-time decision-making. These AI systems are collectively referred to as AI software, with the former categorized as AI4SE software (AI for Software Engineering) and the latter as AI4Control software (AI for Control). As AI software becomes central to modern computing infrastructure, its reliability …

The Impact Of Corporate Social Responsibility On Employees' Work Attitudes And Behaviors, Qian Yuan

Dissertations and Theses Collection (Open Access)

Why do some new employees voluntarily leave within a short period after joining a corporation, while others do not? Drawing on information asymmetry theory and adverse selection theory, this dissertation argues that information asymmetry and adverse selection between job seekers and firms before organizational entry, or during the job search process, are important reasons for new employees’ short-term voluntary turnover. Because corporate social responsibility (CSR) can provide people with information about a firm’s capabilities, willingness, and intentions, this dissertation proposes that firms’ CSR activities can provide job seekers with information about various aspects of the firm. In doing so, CSR …

The Impact Of Job Demands On Work And Family Outcomes Among Healthcare Workers In China: The Moderating Effect Of Gender And Professional Identity Integration (G-Pii) And Communal Orientation, Wei Zhou

Dissertations and Theses Collection (Open Access)

Long work hours, emotional strain, and stress are just a few of the high demands placed on healthcare workers in China, which have led to occupational burnout, tension between job and family, and worse health. This research investigates the relationship between job demands and burnout via the lens of the Job Demands-Resources model and social identity theory, work-family balance, subjective well-being, and career commitment among Chinese healthcare workers. We focus on the moderating roles of gender and professional identity integration (G-PII) and communal orientation. In a two-wave investigation, 317 medical professionals from different Chinese hospitals took part. Hierarchical regression studies …

How Product Innovation And Process Innovation Impact Product Performance, Wei Wang

Dissertations and Theses Collection (Open Access)

In an increasingly competitive global market characterized by accelerating technological iteration and rapidly evolving consumer demands, innovation has become a critical means for firms to adapt to dynamic changes and achieve competitive advantage. Grounded in dynamic capabilities theory and the resource-based view, this study empirically investigates the mechanisms through which product innovation and process innovation affect product performance, drawing on survey data from 215 products. It further examines the mediating role of product flexibility and the moderating effect of product positioning. The results indicate that both product innovation and process innovation have a significant positive impact on product performance. Product …

A Study On The Relationship Between Traffic Spillover And Rental Rates Of Shopping Centre Stores Based On Consumer Movement Data, Hongjun Zhang

Dissertations and Theses Collection (Open Access)

This study is based on consumer movement trajectory data and examines the relationship between traffic spillover among stores within shopping centres and their rent ratios, responding to the practical limitation that traditional rental pricing mechanisms often overlook the dynamic structure of customer flows. Using micro-level consumer movement data and store rental data from three shopping centres in Shenzhen, Nanjing, and Chongqing, this paper constructs a store transition network reflecting customer movements between stores. Social network analysis is employed to measure stores’ network influence indicators (such as degree centrality, betweenness centrality, and structural holes) as well as traffic spillover indicators derived …

Securing Ai Models Against Backdoors, Jailbreaks, And Prompt Injections, Myat Min Nay

Dissertations and Theses Collection (Open Access)

Deep neural networks (DNNs) and large language models (LLMs) in safety-critical settings face a family of related threats: an adversary can corrupt training so a hidden trigger flips a model’s behavior (backdoor), craft inference-time inputs that override safety alignment (jailbreaks) or smuggle in task-overriding instructions (prompt injections), or steer the model’s stance on whole concepts (semantic inconsistencies). Current defenses address each of these in isolation. This dissertation argues they admit a unified treatment through a shared diagnostic design principle: a matched perturbation, probing, or operating condition exposes a method-specific diagnostic signal in the model’s internal computation or observable behavior, and …

Microstructural Evolution Of Zirconium Diboride Irradiated With 5–10 Mev Au Ions At Room Temperature And 570 °C, Narrie Loftus, José Olivares, Miguel Crespillo, Esther Enríquez Pérez, Jeremy Watts, Eric W. Bohannan, Gregory Hilmas, William Fahrenholtz, Joseph Graham

Materials Science and Engineering Faculty Research & Creative Works

Zirconium diboride was irradiated with 5 MeV Au^2 + , 7 MeV Au⁴⁺ and 10 MeV Au³⁺ ions at room temperature and 570 °C to doses from 1 to 8 displacements per atom (dpa). Grazing incidence X-ray diffraction (GIXRD) analysis revealed no secondary phase formation. Rietveld analysis of the GIXRD data indicated an accumulation of microstrain at low dpa and room temperature. Dislocations observed in transmission electron microscopy (TEM) cross-sections are likely the main contributor to the microstrain. High dpa and high-temperature samples exhibit lower lattice distortion than lower dpa samples, suggesting the presence of enhanced defect …

A Software Package For Generating Robust And Accurate Potentials Using The Moment Tensor Potential Framework, Josiah Roberts, Biswas Rijal, Simon Divilov, Jon Paul Maria, William G. Fahrenholtz, Douglas E. Wolfe, Donald W. Brenner, Stefano Curtarolo, Eva Zurek

Materials Science and Engineering Faculty Research & Creative Works

We present the Plan for Robust and Accurate Potentials (PRAPs), a software package for training and using moment tensor potentials (MTPs) in concert with the Machine Learned Interatomic Potentials (MLIP) software package. PRAPs provides an automated workflow to train MTPs using active learning procedures, and a variety of utilities to ease and improve workflows when utilizing the MLIP software. PRAPs was originally developed in the context of crystal structure prediction, in which one calculates convex hulls and predicts low energy metastable and thermodynamically stable structures, but the potentials PRAPs develops are not limited to such applications. PRAPs produces two potentials, …

Superhard Refractory High-Entropy Diborides, M. D. Hossain, N. S. Mcilwaine, N. O. Marquez-Rios, A. C. Feltrin, V. Chawla, R. A. Mayanovic, W. G. Fahrenholtz, D. Penumadu, E. Zurek, D. W. Brenner, D. E. Wolfe, S. Divilov, H. Eckert, S. Curtarolo

Materials Science and Engineering Faculty Research & Creative Works

Using first-principles calculations and companion experimental validations, we demonstrate that the valence electron concentration (VEC) can be used to self-consistently parameterize the bonding characteristics of high-entropy diborides (HEBs) and in turn predict their mechanical properties. When VEC is 10.0 per formula unit (f.u.), HEBs enter the superhard category where Hv>40GPa because bonding states are optimally filled to resist shear deformation. Conversely, above or below a VEC of 10.0, the hardness decreases due to the filling of antibonding or the emptying of bonding states of the HEBs, respectively. This result is supported by analyses of the electronic structure, bonding, antibonding, …

Warrior Bot, Relational Bot, Blameworthy Bot: How A Student Design Team Anthropomorphize Their Combat Robot Creations, Daniel Burton Shank, Frederick F. Sunkpal, Nova Lee Young, Karli Hoerstkamp, David Wright, Merilee A. Krueger, Carleigh J. Davis

Psychological Science Faculty Research & Creative Works

How do robot designers anthropomorphize their own creations? Because robot designers have the ability to alter the robot, identify as its creator, and understand their robot's internal makeup, their process of anthropomorphism and its outcomes may be different from that of the typical robot user. We investigate this research question in the domain of combat robots, where anthropomorphism is critical to decision-making, communication, and trust in high-stakes, high-emotion combat situations faced by robot-soldier teams. We conducted an in-depth case study of a university's student-led Combat Robotics Design Team over the design, construction, testing, and competition phases for their competitive combat …

Understanding Human Arm Stiffness Modulation In Overground Phri: The Roles Of Kinematics, Perturbation, And Trunk Sway, Mohsen Mohammadi Beirami, Sambad Regmi, Devin Michael Burns, Yun Seong Song

Psychological Science Faculty Research & Creative Works

This study examines human arm kinematics during overground physical human-robot interaction (pHRI). Previous work showed humans adjust arm stiffness with changing trajectory uncertainty, but the roles of arm kinematics and muscle activation remained unclear. Building on a preliminary study, we analyzed arm movements with more participants (10 individuals) to achieve more reliable findings and examined two potential influences that arose in the preliminary study: the robot's perturbation effect (a brief hand push) and left-to-right trunk sway. Using a linear mixed-effects model, we evaluated the effects of participant, block, and trajectory condition on arm angles. Results showed minimal kinematic contribution to …

Data To Accompany "Test-Retest Reliability And Internal Consistency Of The Occupational Resilience Measure (Orm 1.0)", Bernard A. Muriithi, Milan Bimali, Kara Gore

Occupational Therapy Faculty Scholarship

Data to accompany upcoming paper published in The Human Occupation and Wellbeing Journal titled "Test-retest reliability and internal consistency of the Occupational Resilience Measure (ORM 1.0)"

A Mineralogical And Geochemical Characterization Of The Amo Meteorite, Karinn Johnson '27, Kenneth Brown, Chad Byers, Thomas Grier

Annual Student Research Poster Session

Meteorites provide a wealth of information about solar system evolution, planetary formation and differentiation, and provide clues to the origins of water and life on Earth. On December 10th, 2024 (4:04 EST), a meteor fall was observed approximately 50 km west of Indianapolis, over the small town of Amo, Indiana (Hendricks County). Several pieces of the meteor ranging from about 1g to >60kg were recovered. A local Greencastle, IN resident collected a 1451.3g sample, of which a 7.5g piece was donated to DePauw University for detailed textural, mineralogical, and geochemical characterization using stereomicroscopy, scanning electron microscopy (SEM), energy-dispersive spectroscopy (EDS), …

Expanding Public Health Insurance To Parents: Effect On Parents' And Children’S Well-Being, Michelle Marcus, Xuan Zhang

Research Collection School Of Economics

Expanding public health insurance to parents may not only improve parental outcomes but also have spillover effects on their children. This paper leverages the natural experiment of the Affordable Care Act (ACA) to estimate the causal effects of expanding public health insurance to low-income parents on their well-being and that of their children. Using a difference-in-differences model and data from the 2010–2017 National Health Interview Surveys, we observe significant improvements in health care access, increased health care utilization, reduced financial burdens, and slight improvements in health status among low-income parents. For children in Medicaid expansion states, we find reductions in …

Iowa Waste Reduction Center Newsletter, March 2026, University Of Northern Iowa. Iowa Waste Reduction Center.

Iowa Waste Reduction Center Newsletter

Contents:

--- Welcome, IWRC Advisory Committee
--- Growing Iowa’s Composting Movement to National Leadership
--- Diane Albertson Memorial Scholarship
--- P2 Green Brewery Webinar Registration is Now Open
--- Potential Hazards of Lithium-Ion Batteries in Landfills

Bridging 2d And 3d Computational Modeling Of Vacuum Arc Remelting: Capturing Rotating Arc Dynamics In Axisymmetric Simulations, Zilong Zhang, Elaheh Dorari, Ramesh Minisandram, Shakarjee Krishnamoorthi, Lang Yuan

Faculty Publications

Computational modeling of the Vacuum Arc Remelting (VAR) process has been developed to provide a deeper physical and metallurgical understanding and assist in the manufacture of defect-free ingots. While fully 3D, time-resolved arc models capture arc–melt interactions with high fidelity, their high computational cost makes 2D steady arc models still the preferred option in industrial applications. In this study, a multi-physics VAR model, which accounts for magnetohydrodynamics, heat transfer, fluid dynamics, and melting/solidification, was established in ANSYS Fluent for Alloy 718 in 3D with a rotating arc. It was validated against measured melt pool morphology. A new 2D axisymmetric oscillating …