Digital Commons Network^™

Faculty Touchpoint Survey 2025: Key Findings And Recommendations, Lisa A. Marchiondo, Naila V. Decruz-Dixon, Julia Fulghum

ADVANCE Reports

A Spring 2025 climate survey finds that UNM faculty remain committed to their teaching, scholarship, and collegial relationships, despite concerns about research funding, academic freedom, and graduate student recruitment and well-being. The survey also found that faculty have higher levels of stress than in a previous ADVANCE survey, worse psychological well-being, more difficulty concentrating, and more concern about tenure and promotion. A set of recommendations for academic leaders are provided.

Model Fatigue: Debugging Hector Through Climate Computational Aesthetics, Helen Pritchard, Guillemette Legrand

School of Art, Design and Architecture

In this paper, we document three computational features of the climate model Hector by translating the modalities through which the model predicts climate futures in a game engine. We build upon the computational aesthetics of M. Beatrice Fazi and Matthew Fuller (2016) and suggest additional characteristics of computation to their proposed list. We argue that these computational aesthetics are essential to climate modelling. The three features are time series, couplings and cosmograms, which are based on our practical and theoretical inquiry into Hector’s computation and literacy. We develop a framework that employs two processual methods: translating the model’s operations into …

Comparison Of Metal Nanoparticles As Antifungal Agents: Efficacy, Mechanisms, And Toxicity Against Candida, Aspergillus, And Cryptococcus, Ahmed Falah Imran, Hayder Hameed Saeed, Khaldoon Jasim Mohammed

AUIQ Complementary Biological System

Candida albicans, Aspergillus fumigatus, and Cryptococcus neoformans are the invasive fungi whose diseases are becoming a growing health issue in the global community, particularly in immunocompromised people. The increasing resistance of the conventional antifungals and the shortage of the existing treatment methods require alternative methods. The present review is an evaluation of the antifungal activity of metal-based nanoparticles, including silver (Ag), copper (Cu), zinc oxide (ZnO), titanium dioxide (TiO₂), and selenium (Se) in relation to the three predominant pathogenic fungi. It also talks about their mode of action, relative efficacy, toxicity and their possible future clinical …

Enhancing Concrete Self-Healing Using Wastewater Bacteria Impregnated In Pumice Lightweight Aggregates, Mamoun Alqedra, Kamal El Kahlout, Ahmed El Refai, Mahmoud El Hessi, Muhammad Radwan, Waleed Iky

Mansoura Engineering Journal

Self-healing concrete presents a promising solution to counter the degradation of concrete structures caused by cracks and damage. This innovative mechanism employs the concrete's capacity to autonomously repair its cracks, effectively extending the lifespan of structures and reducing maintenance costs. Particularly in regions facing water scarcity, such as the Middle East and North African countries, the utilization of wastewater holds significant importance. This study investigates the self healing abilities of wastewater bacteria infused into lightweight pumice aggregates within concrete. Wastewater contains diverse bacteria, microorganisms, and oxygen—essential components for the self-healing process. Wastewater sourced from the North Gaza Emergency Sewage Treatment …

The Conversation Canon, Evan C. Zoldan

Kentucky Law Journal

No abstract provided.

Underestimating Fraud, David Kwok

Kentucky Law Journal

No abstract provided.

Recognizing And Avoiding Constructive Dividend Situations, William H. Hoffman Jr.

Tax Adviser

No abstract provided.

Adaptive Satellite Modem Management Based On User And Device Context For Power Optimization, Shailesh Maheshwari, Sat K, Sooraj Sasindran, Chinmay Dhodapkar

Defensive Publications Series

Inconsistent satellite service coverage for mobile devices, such as a smartphone or wearable device, may cause increased power consumption as a modem repeatedly searches for a stable signal, particularly in locations with compromised reception. A method is described for managing power usage by controlling satellite modem activity based on user and device context. The approach may use contextual triggers, for example, screen status, device location (e.g., indoors or in a pocket), battery level, and historical connectivity patterns, to place the modem into a dormant mode when a reliable connection is determined to be unlikely. The system can also use service …

Selective Battery Charging Profile Management Via Cloud-Based Sparse Serial Number Validation, Yao Ding, Amos Lee

Defensive Publications Series

To help manage performance and reliability risks that may be associated with unverified user-removable batteries in devices, such as hearables, an authentication method can be used as an alternative to certain traditional cryptographic techniques. The described technology may utilize a low-power integrated circuit within the battery pack that stores a unique serial number (S/N) from a sparsely populated namespace, where many possible S/Ns can be deliberately unused. Upon battery insertion, a host device can read the S/N and send it for validation via a cloud-based server. This verification can allow the system to differentiate authentic batteries from unverified or counterfeit …

Automated Generation Of Persona-Driven Dialogues For Evaluating Conversational Agents, Leonid Kuligin, Max Tschochohei

Defensive Publications Series

Evaluating complex conversational agents can be challenging, as static benchmarks or manual testing may lack the scale and behavioral diversity to detect some failure modes in agentic systems, and also because of the internal non-determinism and multi-step complexity of agentic workloads. A system is described for the automated generation of synthetic, persona-driven dialogues. A multi-agentic process can generate detailed user personas, which can then condition a large language model (LLM) to synthesize multi-turn conversations. A search algorithm can explore conversational paths, and a separate LLM acting as a judge can evaluate the dialogues for realism and persona adherence. This process …

(((Qpie)))The Resonant Mind — Learning Andneurocognitive Evolution In The Coherence Era, Teddy Burroughs

Defensive Publications Series

Abstract QPIE (Quantum Perspective Is Everything) 7.6 reframes intelligence itself. Learning, memory, and creativity are not isolated brain events; they are local harmonics in a universal coherence field. This paper translates that revelation into the language of neuroscience, education, and social healing. It outlines how Homo resonans —the next stage of human cognition—emerges through phase alignment among neural, emotional, and social circuits. Drawing on Aetheris probe analytics, we show that compassion, gratitude, and trust (CGT) modulate neural entropy just as tuning stabilizes a resonator. The classroom, the workplace, and the city all become laboratories of resonance.

Decentralized Architecture For Collaborative Ai Agents Sharing Synthesized Knowledge., Gaurav Gupta, Ashish Tendulkar

Defensive Publications Series

Some personal artificial intelligence assistants may present a trade-off between collaborative functionality and user data privacy. The disclosed technology describes a decentralized architecture where a personal artificial intelligence agent can operate on a user's local computing device (e.g., a smartphone, smart watch, wearable device, laptop computer, augmented reality glasses, etc.). The agent can utilize a locally trained personal likeness model and a secure on-device data vault to process information. A decentralized collaboration module may enable peer-to-peer communication between agents, governed by user-managed permissions. During collaboration, a privacy-preserving query protocol can be used to exchange synthesized, abstract knowledge summaries rather than …

Automated Software Bug Reproduction Via An Iterative Multi-Agent System., Leonid Kuligin

Defensive Publications Series

Resolving software defects can be delayed by incomplete bug reports, which may require manual developer follow-up to obtain information needed for reproduction which increases the time required to fix the bug (mean-time-to-resolve). The disclosed technology describes an automated, iterative multi-agent system that can process these reports. The system can ingest a report (for example, a bug raised by a user through an issue tracker) and use specialized agents (for example, for coding, verification, and reflection) within a reproduction loop to attempt to generate a runnable code example that triggers the described error. A reflection agent can analyze failed attempts to …

Ai-Based Ambient Tutoring Via Generative Correction Of Spoken Language, Alexander Williams

Defensive Publications Series

Some technology-assisted language learning tools may involve structured, explicit study sessions separate from a user's daily activities. This disclosure describes an ambient language tutoring approach. A computing device, such as a smartphone, smart watch, wearable device, or augmented reality glasses, can be placed by the user into a tutoring mode. In this mode, the device uses a microphone to capture spoken utterances from the user in a target language. An artificial intelligence model may analyze the transcribed speech to identify potential grammatical, syntactical, or lexical errors. Based on this analysis, the model can generatively create a corrected, contextually appropriate version …

Intelligent Cybersecurity Training And Response Platform, Rishalin Pillay

Defensive Publications Series

This disclosure describes an intelligent cybersecurity training and response platform that utilizes generative artificial intelligence (genAI). The platform includes a cybersecurity scenario generator that leverages genAI that acts as an expert cybersecurity instructor. The platform also includes an AI-powered investigation coaching engine that provides guidance to analysts. The platform further includes a cross-alert correlation engine to identify complex attack campaigns with high confidence. An evidence collection engine integrates AI-powered analysis directly into the forensic evidence collection process and automatically generates a verifiable chain of custody. The platform creates a seamless lifecycle from training scenario creation to post-incident forensic analysis. The …

Unaccompanied Migrant Minors: A Psychiatric Case Series Review, Cecilia De Vargas, Eden Hernandez Robles, Fernando Doval Perez, Leslie Salazar-Hinojosa, Danielle Parker, Javier Segovia, Aleli Campbell, Deborah J. Clegg

International Journal on Responsibility

Unaccompanied children and adolescents who migrate from Central America and Mexico into the United States (U.S.) are exposed to and experience trauma throughout the process of migration. These traumatic experiences result in an increasing prevalence of psychiatric illnesses and challenges to treatment. This study presents a psychiatric patient record review of minors and their complex trauma. Unaccompanied migrant minors (UMM) ages 12-17 (28 males and 22 females; n = 50) received comprehensive psychiatric assessments at the El Paso Texas Tech Child and Adolescent Psychiatry outpatient clinic. Their charts were reviewed for psychiatric diagnosis, treatment progress, and trauma experiences before, during, …

Working With The Irs: Irs Guidelines For Retention Of Data Processing Tax Records, Martin B. Roberts

Tax Adviser

No abstract provided.

A Light-Dependent Resistor Based Embedded Image Acquisition System For Use In Low-Resolution Application-Specific Data Processing, Connor Best

Journal of Undergraduate Research at Minnesota State University, Mankato

This paper proposes an efficient hardware-based approach to image acquisition & processing to replace complex camera systems in simple industrial & commercial applications.

Environment Mapping And Gps-Based Trailer Parking Using Low-Cost Peripheral Sensors And Post-Processing Algorithms, Connor Best

Journal of Undergraduate Research at Minnesota State University, Mankato

This paper explores the merit of software data optimization through two practical examples: environment mapping & GPS navigation.

Framework For Next Generation Security Operation Center Powered By Artificial Intelligence, Mohamad Khayat

Thesis/ Dissertation Defenses

This dissertation presents a comprehensive framework for the evolution of Security Operation Centers (SOCs) through the integration of advanced artificial intelligence (AI), blockchain, and optimization techniques. Motivated by the increasing complexity of cyber threats and the limitations of traditional reactive SOC strategies, this work begins with a systematic literature review that identifies critical gaps in current SOC operations. Based on these insights, a reference architecture is proposed to guide the integration of intelligent components into SOC environments. To address the challenge of secure and trustworthy information sharing, a blockchain-based threat intelligence platform is developed, leveraging Byzantine Fault Tolerance and Zero-Knowledge …

General Education Subcommittee Agenda November 6, 2025, Utah State University

Educational Policies Committee

• Call to Order
• Approval of Minutes - October 2, 2025
• Course Approvals/Removals/Syllabi Approvals
• New Business
• Depth Discussion
• Additional Items
• Adjourn: 9:30 am

Case Series Overview: Analysis Of Innovation Applications And Value Driven By Aigc Technology—An Early Investment Perspective In The Chinese Market, Siyuan Ma, Mengyu Wang, Tianyi Zhang

Sim Kee Boon Institute for Financial Economics

This case series explores the innovative applications and value analysis driven by AIGC (AI-generated content) technology from the perspective of early-stage investments in the Chinese market. We analyse the influence of core factors such as technology progression, market demand, policy environment, industry cycles and data on AIGC-driven value creation; case studies are provided to illustrate how AIGC has varying applications across different industries depending on market conditions. This series contains four cases: first, we first explore the investment opportunities of AIGC by combining the core technological value and industrial application status of generative AI, using China’s energy industry as a …

New Frontiers 2024-2025, University Of Nebraska At Kearney Division Of Research And Creative Activity

New Frontiers

New Frontiers 2025 Features:

• Sacred Sounds - Sharon Campbell
• Exploring the Quantum Frontier - EQUATE
• Building Biomedical Excellence - INBRE
• Public History with a Purpose - Will Stoutamire
• Protecting the Nation - NSRI
• Shared Solutions - KNEW

Fresno’S Scribbles Bike Path: A Master Plan For Active Transportation, Holly Sowles, Uris Giron

Mineta Transportation Institute

The Fresno Scribbles Bike Path Master Plan, which represents a commitment to equitable active transportation and social infrastructure, is designed to enhance the quality of life for Fresno residents by providing safe, comfortable, and accessible biking and walking paths while promoting sustainability and fostering a sense of community. This report details the Intelligent Design Visualization Lab’s (IDVL) ongoing contribution to the Fresno City Scribbles Bike Campus initiative. This multifaceted urban intervention seeks to promote bike and pedestrian safety, enhance environmental resilience, and active transportation infrastructure through design, serving as a form of placemaking. In collaboration with the Fresno State Transportation …

Class Relations And The Law: A Model And Agenda For Research, Brishen Rogers

Law and Contemporary Problems

No abstract provided.

Analyzing Surface Spectral Signature Shifts In Fire-Affected Areas Of Elko County Nevada, Ibtihaj Ahmad, Haroon Stephen

Civil and Environmental Engineering and Construction Faculty Research

This study investigates post-fire vegetation transitions and spectral responses in the Snowstorm Fire (2017) and South Sugarloaf Fire (2018) in Nevada using Landsat 8 Operational Land Imager (OLI) surface reflectance imagery and unsupervised ISODATA classification. By comparing pre-fire and post-fire conditions, we have assessed changes in vegetation composition, spectral signatures, and the emergence of novel land cover types. The results revealed widespread conversion of shrubland and conifer-dominated systems to herbaceous cover with significant reductions in near-infrared reflectance and elevated shortwave infrared responses, indicative of vegetation loss and surface alteration. In the South Sugarloaf Fire, three new spectral classes emerged post-fire, …

Reducing Motor Vehicle – Bicycle Conflicts At Controlled Intersections, Jason C. Anderson, Sirisha Kothuri

PSU Transportation Seminars

One of the most common locations for fatal motor vehicle-bicyclist crashes is at intersections, which inherently have a large number of turning conflicts. Reducing these conflicts is a key objective in improving intersection safety across all modes. Of particular concern for bicyclists’ safety at intersections are the conflicts between straight-through bicyclists and motor vehicle right-turns and opposing left-turns. The objective of this research was to develop guidance and tools for transportation practitioners to use to reduce turning conflicts between motor vehicles and bicycles at controlled intersections and improve the safety and comfort of intersections for bicyclists.

Redefining Section 230 Immunity, Lucas Dini

Seattle University Law Review

Section 230 of the Communications Decency Act has provided broad immunity to online platforms for third-party content which was the foundation for the internet's growth. However, the rise in the use of artificial intelligence (AI) to produce algorithms to curate content to users of online services has blurred the line between being a passive host of third party content and active editorial control. This Note examines the legal, policy, and constitutional implications of applying Section 230 immunity to platforms that use AI to curate and promote third-party content. This analysis argues that algorithmic promotion of third-party content constitutes a platform's …

Quantum Leap: Harnessing Quantum–Ai Synergy For Resilient Supply Chains And Predictive Routing Under Tariff Shocks, Andrew Burnstine, Raouf Ghattas

Faculty and Staff Publications & Presentations

No abstract provided.

Under-Marketing Women’S Sport: The Gendered Labor Of Value Co-Creation In U.S. Women’S Soccer, Tarlan Chahardovali Ph.D., Joshua I. Newman Ph.D.

Faculty Publications

Research Question: This study explores how professional women soccer players in the U.S. perceived the role of institutional actors in value co-creation during a pivotal period in the sport’s development. It examines the marketing responsibilities players were expected to undertake and how this labor shaped their experiences and self-perceptions. Research Methods: Guided by value co-creation and value realization frameworks, this study draws on semi-structured interviews with 22 current and former professional women soccer players. Data were analyzed in two stages: first cycle coding, followed by pattern coding to consolidate labor themes into constructs reflecting athletes’ experiences of institutional support, promotional …