Digital Commons Network^™

Exploiting Underground Mine Topology For Resilient Concurrent Lora Mesh Emergency Communications: Architecture, Protocol Design, And Performance Analysis, Hilary Kelechi Anabi, Samuel Frimpong, Muhammad Azeem Raza

Mining Engineering Faculty Research & Creative Works

Underground mine emergencies compromise fixed communication infrastructure exactly when situational awareness is most critical for effective rescue operations. Existing LoRa mesh protocols fail in underground mines because they ignore the structured topology of tunnel networks, specifically the waveguide effect along straight galleries, severe signal discontinuity at junctions, and the dead-end geometry of working faces. This paper presents the Topology-Aware Concurrent LoRa (TACL) mesh protocol, in which each node autonomously infers its structural role from local RF observations and packet header information, without GPS, pre-loaded mine maps, or central coordination. Role classification resolves the contender estimation problem (Formula presented.) left open …

Golden And Silver Dark Sirens For Precise H0 Measurement With Hetdex, Yixuan Dang, Ish Gupta, Robin Ciardullo, Erin Mentuch Cooper, Shiksha Pandey, Dustin Davis, Surhud More, Rachel Gray, Hsin Yu Chen, Daniel J. Farrow, Caryl Gronwall, Donghui Jeong, Shun Saito, Donald P. Schneider

Physics Faculty Research & Creative Works

Gravitational waves (GWs) from compact binary coalescences are standard sirens that provide a direct measure of the source's luminosity distance, enabling an independent measurement of the Hubble constant (H0). While a bright siren—a GW event with an identified electromagnetic (EM) counterpart—provided the first such constraint, most detections, currently dominated by black hole mergers, lack EM signatures. A measurement of H0 is still possible with these dark sirens by statistically associating GW events with galaxies in existing catalogs based on the sky localization. In this work, we explore the potential of two subsets of dark sirens categorized by their localization precision: …

Tracking Continuous Non-Differentiable Trajectories In Euler–Lagrange Systems With Continuous Dynamics, Nilay Kant

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Tracking controllers for Euler–Lagrange systems are designed under the assumption that reference trajectories are continuous, and at least twice differentiable with respect to time. However, this assumption precludes several use cases, such as when a robot end-effector must track a path with corners at constant speed. This paper introduces the control design for tracking continuous but non-differentiable trajectories in fully actuated Euler–Lagrange systems that have continuous-time dynamics. The proposed controller combines a continuous feedback law with impulsive inputs, that are intermittently applied at the instants of non-differentiability. A Lyapunov stability analysis establishes global exponential convergence of the tracking error to …

Evaluation Of The Effect Of Vibration On Signal Reflection In Coaxial Cable Connectors For Vibration Sensing In Aircraft Structures And Systems, Saidanvar Esanjonovich Valiev, Anthony C. Okafor, Jeremiah J. Rittenhouse, Daniel S. Stutts, Jie Huang

Mechanical and Aerospace Engineering Faculty Research & Creative Works

This paper investigates the effects of vibration on signal reflection (S11) in aerospace data transmission line (ADTL) and commercial data transmission line (DTL) connectors for their alternative use as vibration sensors. The impact of vibration on the S11 signal was investigated on five ADTL and four DTL connectors at six vibration frequencies (20 Hz, 40 Hz, 80 Hz, 160 Hz, 320 Hz, and 640 Hz) and four vibration accelerations (0.5G, 1 G, 2 G, and 4G). The experiment was conducted using a split-plot design with a cable type assigned as the main-plot factor, with vibration frequency and acceleration as subplot …

Pso-Style Social Influence In An Ant Colony Algorithm For Continuous-Domain Optimization, Ashraf M. Abdelbar, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

ACOR is a well-established Ant Colony Optimization (ACO) algorithm for continuous-domain optimization. In this paper, we propose an extension (which we call ACOR∗) in which several fundamental modifications are made to ACOR's solution construction process, including the incorporation of a social influence mechanism borrowed from Particle Swarm Optimization (PSO). Our modifications to the ACOR algorithm are intended to promote search diversity and combat premature convergence. We experimentally evaluate our proposal in the context of training feedforward neural networks for classification using 65 widely used datasets from the University of California Irvine (UCI) repository, as well as the optimization of several …

Multiplexed Fabry-Pérot High-Temperature Sensing Based On Dispersive Microwave-Photonic Frequency-Time Domain Analysis, Ruimin Jie, Chen Zhu, Bohong Zhang, Koustav Dey, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

We propose and experimentally demonstrate a multiplexed high-temperature Fabry-Pérot (FP) fiber sensing system interrogated by dispersive microwave-photonic frequency-time domain analysis (DM-FTDA). In the proposed architecture, incoherent broadband probing light is modulated by radio-frequency (RF) signals and then reflected by a parallel network of hollow-core photonic crystal fiber FP (HCPCF-FP) sensors. A chirped fiber Bragg grating provides strong dispersion to map the composite FP spectral response into a well-defined microwave transfer function. Unlike conventional optical Fourier-domain multiplexing that requires deliberate cavity-length allocation, the proposed approach achieves multiplexing via delay-dominated discrimination. Distinct delay fibers are assigned to each sensor branch, and an …

Rode: Linear Rectified Mixture Of Diverse Experts For Food Large Multi-Modal Models, Pengkun Jiao, Xinlan Wu, Bin Zhu, Jingjing Chen, Chong-Wah Ngo, Yu-Gang

Research Collection School Of Computing and Information Systems

Large Multi-modal Models (LMMs) have significantly advanced a variety of vision-language tasks. The scalability and availability of high-quality training data play a pivotal role in the success of LMMs. In the realm of food, while comprehensive food datasets such as Recipe1M offer an abundance of ingredient and recipe information, they often fall short of providing ample data for nutritional analysis. The Recipe1M+ dataset, despite offering a subset for nutritional evaluation, is limited in the scale and accuracy of nutrition information. To bridge this gap, we introduce Uni-Food, a unified food dataset that comprises over 100,000 images with various food labels, …

Benchmarking Gaslighting Negation Attacks Against Multimodal Large Language Models, Bin Zhu, Yinxuan Gui, Huiyan Qi, Jingjing Chen, Chong-Wah Ngo, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Multimodal Large Language Models (MLLMs) have exhibited remarkable advancements in integrating different modalities, excelling in complex understanding and generation tasks. Despite their success, MLLMs remain vulnerable to conversational adversarial inputs. In this paper, we systematically study gaslighting negation attacks—a phenomenon where models, despite initially providing correct answers, are persuaded by user-provided negations to reverse their outputs, often fabricating justifications. We conduct extensive evaluations of state-of-the-art MLLMs across diverse benchmarks and observe substantial performance drops when negation is introduced. Notably, we introduce the first benchmark GaslightingBench, specifically designed to evaluate the vulnerability of MLLMs to negation arguments. GaslightingBench consists of multiple-choice …

Not Too Early, Not All At Once: Design Tensions In Ai-Mediated Self-Disclosure In Online Dating, Pei-Hua Tsai, Tianyi Zhang, Emran Bin Elias Poh, Anthony Tang, Yung-Ju Chang

Research Collection School Of Computing and Information Systems

Online dating relies on self-disclosure, yet initial conversations are fragile: users must navigate uncertainty around timing, boundaries, and reciprocity with little shared context. While advances in AI raise the possibility of mediating disclosure, how such support might reshape the experience of early-stage relational disclosure remains underexplored. We conducted 29 semi-structured interviews to examine how daters envision AI-mediated self-disclosure in online dating. Our findings surface recurring design tensions rather than simple opportunities or risks. Participants welcomed guidance that could pace disclosure, support reflection, and reduce social awkwardness, but stressed preserving agency and authorship. They valued interpretive assistance for sense-making of ambiguous …

Language Embeddings Meet Shallow Autoencoders, Rodrigo Alves, Vojtěch Vančura, Pavel Kordík, Antoine Ledent

Research Collection School Of Computing and Information Systems

Shallow autoencoders are appealing recommenders due to their simplicity, scalability, and competitive retrieval quality, but they struggle in strict cold-start settings where new items have no interactions. We propose an inductive shallow autoencoder that leverages item side information (language embeddings) by fixing the decoder to item features and learning only an encoder in the same semantic space. To prevent trivial self-reconstruction without enforcing a hard zero diagonal, we introduce diagonal gating: a leave-one-item-out objective that blocks the self-copy shortcut only for the item being updated while retaining context from the rest of the user history. An alternating-style optimization trains the …

Sok: Understanding Zkvm: From Research To Practice, Guomin Yang, Yunbo Yang, Yuejia Cheng, Haibo Tang, Bingsheng Zhang, Kui Ren

Research Collection School Of Computing and Information Systems

Zero-knowledge virtual machine (zkVM) is a powerful infrastructure for proving the correctness of a program execution with a succinct proof, attracting significant interest from researchers, developers, and users. It has been widely used in applications such as blockchain rollups, privacy-preserving machine learning, and off-chain computation. As the field grows, a wide range of zkVMs have been proposed. However, they adopt different choices in instruction formats, trace layouts, and proving backends, which results in a highly heterogeneous design landscape and makes it difficult to understand the relations among these systems.To bridge this gap, we provide a comprehensive study of zkVMs that …

Anatomical Domain Shifts: Test-Time Heterogeneous Adaptation For 3d Human Pose Prediction, Qiongjie Cui, Pan Zhou, Jingjing Chen, Na Zhao

Research Collection School Of Computing and Information Systems

The research frontier in human pose prediction (HPP) is advancing toward continual test-time adaptation (TTA), where models must self-adapt to dynamic test distributions. To date, the homeostatic continual TTA remains the sole viable solution, which isolates the model parameters and update domain-sensitive ones. Despite mitigating full-body domain gaps, human anatomical heterogeneity (domain shifts often localize to specific regions) is ignored. This anatomical-agnostic approach forces uniform parameter adaptation across kinematically distinct segments, causing: over-adaptation of stable regions and under-adaptation of shift-prone articulations. To address it, we introduce TT-HA, a novel Test-Time Heterogeneous Adaptation that implicitly estimates domain changes for anatomical segments, …

Enhancing Pointing Gestures Of Non-Hmd Users In Asymmetric Collocated Mixed Reality Collaboration, Nam-Dang Vo, Van-Vinh Thai, Anthony Tang, Khanh-Duy Le

Research Collection School Of Computing and Information Systems

A common collocated group setting in mixed-reality (MR) collaboration is a person wearing a MR headset (HMD user) and presenting MR contents to audiences who are not provided with such specialized devices (Non-HMD users). In this setting, while Non-HMD users can view the MR environment shown on a large physical display, it still remains challenging for the HMD user to interpret their pointing gesture when they spatially refer to objects in the MR environment. To address this, we designed and evaluated two pointing techniques—SCREEN and SCREEN+SPACE—that support Non-HMD users in referring to MR content. Screen pointing allows users to refer …

Happycal: Designing Text And Image-Based Supports For Savouring Positive Work Experiences, Molly Stewart, Minghao Cai, Anthony Tang, Sam Liu, Chris Mosunic, Sowmya Somanath

Research Collection School Of Computing and Information Systems

Savouring positive work experiences can promote positive affect and well-being at work, yet there is limited guidance on how digital applications can support workers to engage in savouring. We developed HappyCal, a work-focused savouring application offering two forms of savouring support: text-based, a common modality in workplace reflection tools, and images, a largely unexplored approach in work-related savouring. We conducted an exploratory qualitative study where participants (N=36) used HappyCal over five days and engaged in savouring through either a text-only modality (n=17) or text input paired with image output (n=19). We found that (1) participants in both groups reported heightened …

How Do Machine Learning Models Change?, Joel Castaño, Rafael Cabañas, Antonio Salmerón, David Lo, Silverio Martínez-Fernández

Research Collection School Of Computing and Information Systems

The proliferation of Machine Learning (ML) models and their open source implementations has transformed AI research and applications. Platforms like Hugging Face (HF) enable this evolving ecosystem, yet a large-scale longitudinal study of how these models change is lacking. This study addresses this gap by analyzing over 680,000 commits from 100,000 models and 2,251 releases from 202 of these models on HF using repository mining and longitudinal methods. We apply an extended ML change taxonomy to classify commits and use Bayesian networks to model temporal patterns in commit and release activities. Our findings show that commit activities align with established …

Collaboration In Context: The Present And Future Of Coordinated Care For New Mexico's Military-Connected Population, Zachary Bridgewater, Vincent Delsignore, Mary Rachel Keville, Lisa Marie Murray

Institute for Veterans and Military Families

With the support of the New Mexico State Legislature, the D’Aniello Institute for Veterans and Military Families (IVMF) led a multi-phase project to design a coordinated care system for New Mexican service members, veterans, and their families. In the project’s first phase, the IVMF conducted a landscape assessment to understand the needs of the military-connected community and examined the viability of a coordinated care system for the state. Key findings included strong support for coordinated care amongst veteran serving organizations, a fragmented service landscape across the state, structural barriers to care caused by rurality and geographic concentrations of resources, and …

A Fiftieth Year Retrospective On The 1976 Mw 7.5 Motagua Earthquake In Guatemala, Grant Clark, Trenton Mcenaney, Jeremy Maurer, Andreas Eckert, Stephen S. Gao, Omar G. Flores, Robin Yani, Tina Niemi, Christoph Grützner, Francisco Gomez, Jonathan Obrist-Farner

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

On 4 February 1976, an Mw > 7:5 earthquake ruptured ∼240 km of the Motagua fault in Guatemala, causing ∼23,000 fatalities. This event provided evidence for the fault's role as a major transform boundary between the North American and Caribbean plates. Field observations, seismological analyses, and postseismic studies helped constrain fundamental aspects of the 1976 earthquake mechanics and the spatial complexity of the rupture. This event opened a window for studies documenting past deformation along this plate boundary across multiple spatial and temporal scales. Five decades of research have established this earthquake as an important event for understanding strike-slip ruptures along …

Kolonialisme Iklim Dan Tercerabutnya Pengetahuan Ekologi Tradisional: Sosio-Bioekonomi Sebagai Reorientasi Epistemologis, Viky Arthiando Putra

Antropologi Indonesia

Abstract The global climate change has brought with it a growing stack of conceptual proposals – from green economy to bioeconomy – each presenting itself as a non-extractive economic alternative. Unfortunately, these conceptual claims continue to reproduce colonial logic that subordinates local knowledge. The loss of Traditional Ecological Knowledge (TEK) is not merely an ecological setback: it is a systematic epistemological violence – a product of climate colonialism operating within the architecture of global green programs. This article traces the discourse of green economy, analyzes the loss of TEK as an epistemological problem, and proposes a socio-bioeconomy reorientation as a …

A Hybrid Approach To Phishing Email Detection: Leveraging Machine Learning And Large Language Models, Hessa Shamal Biri

Theses

Phishing attacks have reached a new level of sophistication through the deployment of large language models by attackers. The current AI-generated threats defeat existing detection systems which base their operation on past data. The thesis presents a hybrid system for phishing email detection which combines real email data with synthetic LLM-created samples to enhance traditional machine learning classifiers performance. The study created a hybrid dataset of 20,627 emails by combining 18,631 real messages from the Kaggle Email Classification Dataset with 1,996 synthetic emails. The synthetic emails were generated using four large language models LLaMA-3, Falcon, LLaVA, and Mistral to capture …

Exploring The Fidelity Of Resistance Training Interventions In Regional, Rural, And Remote Cancer Care: A Systematic Scoping Review, Christopher W. Rowe, Nicolas H. Hart, Julia Carlino, James Murray

Research outputs 2022 to 2026

Resistance-based exercise interventions are an integral part of supportive cancer care, though their high quality and high-fidelity implementation with people with cancer living in non-metropolitan locations is challenging. This systematic scoping review aimed to identify how exercise prescription principles and measures of fidelity are reported in resistance-based exercise interventions delivered to people with cancer living in regional, rural and remote areas. A systematic scoping review was conducted in accordance with the PRISMA-ScR guidelines. Five electronic databases were searched (MEDLINE/PubMed, Embase, CINAHL, SCOPUS and SportDiscus) for peer-reviewed studies published in English, that delivered a resistance-based exercise intervention to adult cancer survivors …

4‑H Efforts Toward Demographic Representation, 1980–2025: A State‑Of‑The‑Art Review (Part 1), Jeremy Elliott-Engel, Jeff Wayne Howard

Journal of Youth Development

This state-of-the-art review synthesizes 45 years of scholarship (1980–2025) to assess how effectively the 4-H program has worked to serve a demographically representative youth population. Drawing on academic and gray literature (n=99) sources, the review traces 4-H’s evolution from its segregated land grant origins to contemporary efforts focused on access, equity, inclusion, and belonging. It documents progress in culturally responsive programming and national diversity, equity, inclusion (DEI) initiatives while highlighting persistent disparities in participation and benefit distribution. The review identifies effective strategies, enduring structural barriers, and areas where research and practice remain limited, offering a comprehensive foundation for understanding 4-H’s …

Hydroxamate Formation In The Lipopeptide Containing Siderophore Taiwachelin, Aaron J. Gringer, Kernen P. Agwaza, Isabel Da Fonseca, Pablo Sobrado

Chemistry Faculty Research & Creative Works

Cupriavidus taiwanensis is a nitrogen-fixing bacterium found in root nodules of the invasive tropical weed Mimosa pudica . C. taiwanensis has been shown to grow in environments contaminated with heavy metals such as Pb, Cu, and Cd. Taiwachelin, a recently identified siderophore produced by C. taiwanensis , is an iron chelator that contains a hydroxamate functional group for metal binding. In its biosynthesis, a flavin-dependent N-monooxygenase (NMO) was predicted to hydroxylate l -ornithine, leading to formation of the metal binding hydroxamate moiety. Here, we report the cloning, expression, and biochemical characterization of this enzyme, herein referred to as CtNMO. CtNMO …

Forest Fire Governance And Regional Environmental Politics In Southeast Asia: A Bibliometric Analysis, Agung Wicaksono, Data Wardana, Hendry Andry, Rio Yusri Maulana

Jurnal Wacana Politik

Forest fires remain one of the most persistent environmental governance challenges in Southeast Asia, generating significant ecological, economic, social, and political consequences, including transboundary haze pollution. Despite the growing body of literature on forest fire management, a comprehensive understanding of the intellectual structure and development of forest fire governance research in the region remains limited. This study aims to map and analyze the evolution, thematic structure, collaboration patterns, and intellectual foundations of forest fire governance research in Southeast Asia using a bibliometric approach. Bibliographic data were collected from the Scopus database, resulting in a final dataset of 644 publications after …

The Colonial Borders Within: Racial Profiling, Language, And Civil Juries, Jasmine Gonzales Rose

Faculty Scholarship

This Article builds on the scholarship of Kevin R. Johnson, whose work has long illuminated how immigration law and constitutional doctrine have enabled the subordination of Latines through racial profiling,2 language discrimination,3 and exclusion from civic institutions, like juries.4 His analyses of juror exclusion and the importance of a diverse judiciary underscore how the composition of civil and criminal factfinders shapes both recognition of harm and the remedies afforded.5 Long before the current period of intensified, abusive immigration enforcement, his scholarship traced the historical roots of these practices, examined their contemporary manifestations, and revealed the ways in which the law …

Ai In Healthcare: Regulatory Guidelines And Judge-Made Negligence Principles For Ai Implementers, Gary K. Y. Chan

Research Collection Yong Pung How School Of Law

The use of artificial intelligence (AI) in healthcare may, notwithstanding its potential benefits, result in harm to patients from allegedly negligent acts or omissions by hospitals and medical doctors. In such circumstances, how should the principles in the tort of negligence (duty of care, breach, causation, remoteness of damage, and defences) respond to AI innovations in healthcare? In particular, how may the standard of care expected of hospitals and medical doctors be informed by regulatory guidelines? We refer to case law precedents and regulatory guidelines on the roles and responsibilities of doctors and hospitals as AI implementers. Importantly, they prompt …

International Advice, Mature Democracies And The Venice Commission, Maartje De Visser

Research Collection Yong Pung How School Of Law

The aim of this article is to explore the role and practice of constitutional advice-giving as it relates to mature democracies. More precisely, this article considers how the Venice Commission – the official advisory body for constitutional matters of the Council of Europe – exercises its mandate vis-à-vis such democracies through the delivery of country-specific Opinions, based on a close reading of all such Opinions rendered between 2002 and 2024. It examines the substantive focus of those Opinions, the way they engage with constitutional experiences elsewhere, as well as the tone of the assessment and the approach taken in formulating …

Social Exclusion Cues And Collective Action Motivation In Environmental Campaigns: The Buffering Role Of Social Support, Hwan-Ho Noh, Warren B. Chik

Research Collection Yong Pung How School Of Law

This study examines the influence of social exclusion cues on public engagement with environmental campaigns on social media, focusing on how such cues affect advertising attitudes and collective action motivation. Across two experimental studies, we investigated whether low engagement metrics, such as a small number of likes, function as symbolic exclusion cues that reduce perceived public support. The results indicate that social exclusion cues negatively affect advertising attitudes and collective action motivation, ultimately decreasing the intention to engage with the campaign. However, the presence of social support cues, which signal sustained public interest and social endorsement, effectively mitigated these negative …

Response To Kodali Et Al., “Hailey-Hailey Disease: A Review And An Approach To Management”, Christina Tolete, Teresa Duong, Adam Friedman, Leonardo Tjahjono

Department of Medicine Faculty Papers

No abstract provided.

Alara+: Summit On Radiation And Orthopedic Risks In Fluoroscopic Laboratories: Endorsed By Acc, Acvp, Ase, Hrs, Scai, Sir, Snis, Svin, And Svs, Arash Salavitabar, Amit N. Vora, Dorothea Altschul, J. Fritz Angle, Chelsea Ballinger, Andrew Bojanowski, Anna E. Bortnick, Kyle Bugg, Emily Carpenter, Robert E. Foster, Joanna Ghobrial, Matthew Glogoza, Atul Gupta, James B. Hermiller, A. Kyle Jones, Summer L. Kaplan, Steven J. Kraus, Omar Khalique, Andrea Klein, Nick Morse, Preethi Ramchand, David G. Rizik, Lucy M. Safi, Cheryl C. Schultz, Kamala P. Tamirisa, R. Jay Widmer, Kristi Wilson, Jonathan X. Fang, Arnold Seto, Robert F. Riley

Department of Neurosurgery Faculty Papers

Occupational radiation exposure has a clear association with long-term health effects and has a particular impact on women, trainees, and supporting staff. There is a reliance on limited, traditional radiation protection and nonergonomic equipment, which carries associated orthopedic injury rates with adverse impacts on both individual career trajectories and health systems, and with significant challenges to widespread implementation of enhanced radiation protection devices. During the 2025 Society for Cardiovascular Angiography & Interventions Scientific Sessions in Washington, DC, a multidisciplinary Think Tank summit was convened and included representatives from multiple stakeholders, including other professional societies, advocacy groups, and industry partners. The …

Genetic Ancestry-Concordant Ceramide Metabolism And Response To Androgen Receptor Pathway Inhibition In Metastatic Castration-Resistant Prostate Cancer, Sean Piwarski, Lauren Howard, Morgan Paul, Nick Bachelder, Bonnie Lacroix, Angela Clayton, Donna Allen, Julie Kephart, Andrew Armstrong, Steven Patierno, Daniel George, Terry Hyslop, Jennifer Freedman

Department of Pharmacology, Physiology, and Cancer Biology Faculty Papers

BACKGROUND: The authors observed differences in response between Black and White patients with metastatic castration-resistant prostate cancer (mCRPC) who were treated prospectively with androgen receptor pathway inhibition (ARPI) in the Abi Race and PANTHER studies. In addition, genetic ancestry-related single nucleotide variants in ceramide metabolism genes were associated with the time to prostate-specific antigen progression in the Abi Race study. For this report, the authors analyzed ceramide metabolites and their association with response to ARPI treatment in the Abi Race and PANTHER studies.

METHODS: Fasting serum levels were obtained from 22 Black patients and 22 White patients in the Abi …