Digital Commons Network^™

Indigenous Community Research Opportunities, Sharon Hausam, Aaron M. Canter

Faculty Publications

This is a working paper produced as part of National Science Foundation project #2115169, “Transforming Rural-Urban Systems: Trajectories for Sustainability in the Intermountain West,” known as the “Intermountain West Transformation Network” (TN), led by the University of New Mexico with institutional partners at three additional universities in New Mexico, two in Arizona, and one each in Utah, Colorado, and Washington. The TN’s Indigenous and Tribal engagement was supported through a contract with Dr. Sharon Hausam, additional work by Aaron M. Canter, coordination with Dr. Lani Tsinnajinnie, and an Advisory Committee on Indigenous Information Needs primarily comprised of Indigenous representatives in …

Opportunities For Leadership In Indigenous And Tribally Engaged Research At The University Of New Mexico, Sharon Hausam

Faculty Publications

This is a working paper produced as part of National Science Foundation project #2115169, “Transforming Rural-Urban Systems: Trajectories for Sustainability in the Intermountain West,” known as the “Intermountain West Transformation Network” (TN), led by the University of New Mexico with institutional partners at three additional universities in New Mexico, two in Arizona, and one each in Utah, Colorado, and Washington. The TN’s Indigenous and Tribal engagement was supported through a contract with Dr. Sharon Hausam, additional work by Aaron M. Canter, coordination with Dr. Lani Tsinnajinnie, and an Advisory Committee on Indigenous Information Needs primarily comprised of Indigenous representatives in …

Examples And Evaluation Of Sustainability Research With Tribes, Aaron M. Canter, Sharon Hausam

Faculty Publications

This is a working paper produced as part of National Science Foundation project #2115169, “Transforming Rural-Urban Systems: Trajectories for Sustainability in the Intermountain West,” known as the “Intermountain West Transformation Network” (TN), led by the University of New Mexico with institutional partners at three additional universities in New Mexico, two in Arizona, and one each in Utah, Colorado, and Washington. The TN’s Indigenous and Tribal engagement was supported through a contract with Dr. Sharon Hausam, additional work by Aaron M. Canter, coordination with Dr. Lani Tsinnajinnie, and an Advisory Committee on Indigenous Information Needs primarily comprised of Indigenous representatives in …

A Thickness-Invariant Origami Robot With Integrated Actuation And Multimodel Locomotion, Larry L. Howell, Davis Wing, Nathan Usevitch, Sam Bridge, William Bowler

Faculty Publications

ABSTRACT Origami robots possess the potential for advanced reconfigurability in various contexts and environments. This paper describes and demonstrates the function of an origami robot following a thickness-invariant version of the Yoshimura tessellation. This thickness-invariance allows for the simple folding pattern to be expanded vertically, allowing all robotics components to be housed within the panels of the robot without impacting the functional relationships between folds of the pattern, or requiring other, more complex forms of thickness accommodation. The mathematics and engineering to create such a robot are presented to enable the use of these techniques in creating other origami-based robots. …

Healer Or Human? How Online Physician Reviews Guide Patient Choice, Shabnam Azimi, Sina Ansari, Ignacio Luri, Atefeh Yazdanparast

Faculty Publications

Online reviews increasingly guide physician choice, yet it remains unclear whether content emphasizing a physician's competence (technical skills) or benevolence (prioritizing patients' welfare over self‐interest) more strongly influences patients' decisions. Integrating a field study of 12,351 physician reviews with two online experiments, we distinguish two dimensions of review effectiveness: how helpful readers find a review, and how confident they feel about the choice it informs. We show that competence‐ and benevolence‐focused content influences these outcomes through distinct mechanisms. Benevolence‐focused reviews receive higher helpfulness evaluations because caring behaviors are easier to describe in concrete, vivid language and because naturalistic review platforms …

Ai-Powered Resume Screening, Sang Suh, Numery Zaber

Faculty Publications

Traditional resume screening is manual, slow, and susceptible to bias, and it struggles to keep pace with today’s application volumes. This paper presents a dual-engine, AI-powered resume screening system designed for transparency and reproducibility. The primary (classical) pipeline encodes resumes and job descriptions using Sentence-BERT (SBERT), computes a resume–job match score via cosine similarity, classifies candidates into 25 job categories using XGBoost, and provides model interpretability through SHAP. In parallel, a prompted large language model (LLM) baseline (GPT-4o/4o-mini) outputs a match score and predicted category for comparative analysis. A Streamlit-based interface integrates both engines to support recruiter workflows and human-in-the-loop …

Evaluating The Suitability Of Commercial Off-The-Shelf Software Radio Peripheral Front-Ends For High-Fidelity Satnav Monitoring Applications, Mark J. Carroll, Sanjeev Gunawardena, Timothy I. Machin, Christine M. Schubert Kabban, Joseph J. Rushanan

Faculty Publications

Signal quality monitoring is an essential portion of the Global Positioning System (GPS) enterprise. Through monitoring, accuracy and normality are achieved for each satellite and signal. GPS users rely on this information from monitoring stations to ensure safe and successful operation. Traditional monitoring has been performed with hardware receivers or custom radio frequency front-ends. These receivers have known and measured impacts on the distortions of the received signal. This research aims to elucidate and quantify the amount of distortion introduced by the front-ends of general-purpose commercial off-the-shelf software-defined radio (SDR) peripherals. Monitoring stations outfitted with SDRs are more flexible and …

Instructional Slides From Molten Salt Electrochemistry Symposium (Moses) 2026, Devin Rappleye, Carlos Mejia, Alex Peroff

Faculty Publications

This instructional slide set was developed for the 2026 Molten Salt Electrochemistry Symposium (MoSES) as an introduction and review of fundamental electrochemical concepts and methods used in molten salt systems. The material is intended for students, researchers, and practitioners seeking to better understand and interpret electrochemical measurements in high-temperature molten salts.

Topics include electrochemical thermodynamics, kinetics, mass transfer, electrode potentials, cyclic voltammetry, chronopotentiometry, chronoamperometry, square-wave voltammetry, electrochemical impedance spectroscopy (EIS), and common approaches for analyzing electrochemical data. Emphasis is placed on building physical intuition, understanding underlying assumptions, recognizing common experimental artifacts, and connecting electrochemical signals to real chemical and transport …

Observations On Recurrent Loss In The Neural Network Model Of A Partial Differential Equation: The Advection–Diffusion Equation, Jonah A. Reeger

Faculty Publications

A growing body of literature has been leveraging techniques of machine learning (ML) to build novel approaches to approximating the solutions to partial differential equations. Noticeably absent from the literature is a systematic exploration of the stability of the solutions generated by these ML approaches. Here, a recurrent network is introduced that matches precisely the evaluation of a multi-step method paired with a collocation method for approximating spatial derivatives in the advection–diffusion equation. This allows for two things: (1) the use of traditional tools for analyzing the stability of a numerical method for solving PDEs and (2) bringing to bear …

Property Tables For Thermally Perfect Gases At Low Pressure, Travis J. Moore, Matthew R. Jones

Faculty Publications

Tables giving gas properties at low pressure enable the efficient analysis of processes in which the gas is approximated as thermally perfect but not calorically perfect. In addition to specific enthalpy and specific internal energy, thermally perfect gas tables include special functions that depend only on temperature—relative pressure and relative specific volume. These functions may be used to determine pressure, volume, and temperature of thermally perfect gases undergoing hypothetical isentropic processes. However, the definitions of these functions included in widely used thermodynamics textbooks are vague, inconsistent, or incorrect. The intent of this work is to discuss common inaccuracies in the …

Terrestrial Gamma‐Ray Flash Following Intense Negative Return Stroke Observed With Bimap‐3d, Daniel P. Jensen, David M. Smith, Xuan-Min Shao, Jeff L. Lapierre, Jeffrey M. Chaffin

Faculty Publications

We report ground‐based observations of a terrestrial gamma‐ray flash (TGF) associated with a strong negative cloud‐to‐ground lightning strike (‐CG) which occurred near Los Alamos National Laboratory (LANL) in New Mexico, USA. Gamma photons were detected by the Terrestrial High‐energy Observations of Radiation (THOR) instrument, developed at the University of California, Santa Cruz, which has been hosted at LANL since 2022. Simultaneous measurements were also made with the 3‐Dimensional Broadband Interferometric Mapping and Polarization (BIMAP‐3D) system, which includes 3D lightning mapping, two fast antennas, and an additional plastic scintillator. Additional field change waveforms were obtained from the Earth Networks Total Lightning …

Toward A Private Law Of Intimates' Obligations, Emily J. Stolzenberg

Faculty Publications

When former cohabitants ask courts to distribute property at the end of a nonmarital relationship, they usually lose—even when the partners were as economically intertwined as spouses. Family law scholars have traditionally criticized these cases in terms of longstanding gendered ideas about family relationships. This Article proposes a complementary account at the intersection of feminist and private law theory: that the law of voluntary obligations is not adequately developed to protect intimates’ cooperation. Although marital status law aims to safeguard thick cooperation between spouses and contract law captures a range of more market-based cooperation, for historically contingent reasons, little doctrine …

Religious Bias In Llms Is Significantly Understudied, Sheryl Carty, Nancy Fulda, Walter Reade

Faculty Publications

In the earlier years of development of LLMs, it was relatively easy to prompt an LLM to respond with toxic or biased statements about religion. Subsequent improvements in frontier models addressed many of the issues of bias and toxicity in general, including against religion. At the same time, the adoption and usage of these models has grown exponentially. Small and implicit biases, therefore, have a magnified overall impact. In this paper, we (1) briefly review previous efforts to measure religious bias in LLMs, (2) show, by reviewing over 12,000 papers dealing with bias in LLMs, that religious bias has been …

Regulating Manipulative Design Is Not Preempted By Cda 230 Or The First Amendment, Brett Frischmann, Peter Ormerod

Faculty Publications

For over two decades, there has been a heated debate among legal scholars, activists, judges, and others about the scope of Section 230 of the Communications Decency Act. A persistent theme in those debates has been hyperbolic claims about the necessity of immunity from state laws for digital tech platforms and fearmongering that anything less than maximum immunity will destroy the Internet.

This Article argues that states retain considerable discretion to regulate digital platforms’ design and engineering decisions. We argue that manipulation, engineered behavior, and even habituation and normalization of engineered behavior by digital platforms are content-agnostic harms attributable to …

The Hope College Department Of Biology: The First 50+ Years, Christopher C. Barney

Faculty Publications

The Hope College Department of Biology was founded in 1899 with the appointment of the first Professor of Biology at Hope, Samuel Mast. During the first 50+ years of the Biology Department, there were eight total faculty members in the department, including Frances Koeman, the first female faculty member in the natural sciences. Four faculty members, Mast, Frank Patterson, Oscar Thompson, and Teunis Vergeer were primarily responsible for developing the department’s curriculum and programs, with Mast and Vergeer also carrying out published research. The department was housed primarily in Van Raalte Hall and the Science Building (now Lubbers Hall) for …

Upper Mora River Corridor Plan. Path To Social And Economic Recovery. A Working Paper, José A. Rivera Ph.D

Faculty Publications

The Working Paper outlines a plan for the Upper Mora River Corridor as a path to the social and economic recovery of the watershed and its communities in the Mora Valley of New Mexico in the aftermath of the year 2022 wildfires. The first section of the plan includes an historical overview of the traditional gristmills of northern New Mexico and places where a few of them are preserved and still standing. The next section goes into detail as to the early commercial mills situated along the upper Mora River Corridor with a focus on the four remaining mills: the …

Comparative Analysis Of Task Scheduling In Multi-Tier Fog-Cloud Computing: From Classical Approaches To Greedy Multi-Objective Optimization, Zafril Rizal M. Azmi, Najmul Haque, Saydul Akbar Murad

Faculty Publications

Fog computing extends cloud services to the network edge, enabling low-latency processing for time-sensitive applications. However, scheduling complexity significantly increases due to heterogeneous resources, dynamic workloads, and strict Quality-of-Service (QoS) constraints. Although numerous scheduling techniques have been proposed, existing studies often assess only a narrow subset of algorithms or rely on offline metaheuristics unsuitable for real-time environments. This paper presents a comprehensive comparative evaluation of twelve scheduling algorithms, including five classical, one heuristic, and six metaheuristic-inspired approaches, within a realistic 20-node multi-tier fog-cloud topology. Across 1,365 experiments spanning seven utilization levels, we analyze each algorithm’s deadline adherence, load distribution, and …

#Metoo Vs. Anti-Dei, Nicole Porter

Faculty Publications

Nine years ago, the entire country was talking about the #MeToo movement, which can be credited with the unseating of hundreds of powerful men and changing the way we talk about and address sexual harassment in the workplace. In 2026, continued progress of the #MeToo movement might be threatened by a new movement-the Trump Administration's attack on Diversity, Equity, and Inclusion (DEI) initiatives. This article discusses the ways in which the #MeToo movement conflicts with the anti-DEI movement. Specifically, it addresses how employers will respond to pressure to dismantle DEI programs, offices, and training, and how those responses will affect …

Atomistic Simulations Of Crystallographic Anisotropy And Defects In Shock Loading, Benjamin P. Helman, Andre Archer, Logan Nagy, Samuel C. Wagers, Douglas E. Spearot, Adib J. Samin

Faculty Publications

The impact of crystallographic orientation, select grain boundaries, and vacancies on the shock response of aluminum was investigated using molecular dynamics simulations. Shock loading in the [001], [011], and [111] directions was explored, revealing anisotropic behavior in shock speed, generated dislocation density, and melting. The Hugoniot elastic limit (HEL) in the [100], [110], and [111] directions were calculated as 18.7 GPa, 17.8 GPa, and 22.5 GPa, respectively. These results were found to be an order of magnitude larger than the uniaxial compressive yield strengths computed at high strain rate using an affine loading scheme. Metastable melting in the [011] and …

Navigating The Cocoon: An Interpretative Phenomenological Analysis Of Mothers’ Experiences Of Seeking Diagnosis And Services For Children With Disabilities In Insular Rural American Samoa, Elizabeth Cutrer, Ocean K. Akau, Lorena Seu, Isabel Medina Hull, G. E. Kawika Allen, Ofa H. Kanuch, Cameron W. H. Hee, Melia Fonoimoana Garrett

Faculty Publications

This study examines how mothers raising children with disabilities in American Samoa experience the processes of seeking diagnosis, navigating special education, and advocating for services within an insular rural context. American Samoa, an unincorporated U.S. territory located 2600 miles from Hawaiʻi with a population under 50,000, represents a case of what we term insular rurality—a condition in which the structural disadvantages of rurality are intensified by oceanic isolation, territorial governance, and colonial history. Data were collected through three focus groups with fifteen mothers whose children hold a range of disability diagnoses, with a card sort activity at the outset of …

Digitize And Discard: A Campaign For Sustainable Av Stewardship, Cory L. Nimer, Ben Harry, Abby Beazer, Miya Jensen, Michael F. Gates

Faculty Publications

Archives and libraries face growing preservation challenges from aging audiovisual collections due to carrier degradation and playback equipment obsolescence. As the media becomes more difficult to access, its archival value decreases, leading to questions about its ongoing storage. One proposed solution has been to digitize and discard the original media, preserving the recordings as digital masters with derivative files for public access. The suggestion to reformat audiovisual materials raises questions for cultural heritage professionals, and each stakeholder group may have its own concerns. Yet as media capture and digital preservation technology improve, to maintain our program’s sustainability, we have begun …

Generation Of Khz-Rate Complex-Structured Liquid Targets For Relativistic Laser–Plasma Interactions, Michael L. Dexter, Stephen J. Hageman, Gregory Ngirmang, Kyle D. Frische, Joseph Snyder, John T. Morrison, Enam A. Chowdury, Anil K. Patnaik

Faculty Publications

With the rise of high repetition rate ultra-intense laser systems, there is a need for solid density targets to study relativistic laser–plasma interactions that can operate at the same repetition rate. Flowing liquid targets are attractive because they are self-replenished, debris free, cost effective and easy to use. Liquid targets have been used for high-repetition rate (up to kHz rate) generation of electrons, protons, x rays, and neutrons by our group and elsewhere. In this Letter, we demonstrate a kHz-rate generation of a variety of dynamically shaped complex-structured targets from the interaction of a 10¹⁶ W/cm² focused laser …

Analysis And Machine Learning Adaptation Of A Cognitive Model For Human Memory, Trevor Cross, Aihua W. Wood

Faculty Publications

In this paper, we use the Duolingo SLAM dataset to analyze several cognitive models of second language acquisition and develop new approaches for enhanced performance. In particular, we consider the Predictive Performance Equation and some of its underlying power laws. Leveraging insights from machine learning, we develop simple one-feature models as building blocks for combined models that match or in certain cases outperform the existing models at much reduced computational cost. In addition, a neural network with one fully connected hidden layer is constructed that outperforms all other models on sufficiently large datasets.

Boiling Flow Estimation For Aero-Optic Phase Screen Generation, Jeffrey W. Utley, Gregery T. Buzzard, Charles A. Bouman, Matthew R. Kemnetz

Faculty Publications

Aero-optic effects due to turbulence can reduce the effectiveness of transmitting light waves to a distant target. Methods to compensate for turbulence typically rely on realistic turbulence data, which can be generated by i) experiment, ii) high-fidelity computational fluid dynamics (CFD), iii) low-fidelity CFD, and iv) autoregressive methods. However, each of these methods has significant drawbacks, including monetary and/or computational expense, limited quantity, inaccurate statistics, and overall complexity. By contrast, the boiling flow algorithm is a simple, computationally efficient model that can generate atmospheric phase screen data with only a handful of parameters. However, boiling flow has not been widely …

Active Learning Of Constraint Boundaries Using Expected Magnitude Of Incorrectness And Neural Networks, Atticus Beachy, Ramana V. Grandhi

Faculty Publications

This research proposes an acquisition function for constraint boundary identification, with applications to hypersonic air vehicles. Hypersonic vehicles endure extreme thermal loads caused by aerodynamic heating, resulting in a strong coupling between structural performance and aerothermodynamics. However, modeling coupled system behaviors requires simultaneous consideration of both aerodynamic and structural design variables, increasing the dimensionality of the design trade space and the difficulty of accurately modeling the constraints. Several active learning schemes have been proposed to accelerate identification of the composite feasible region that satisfies all constraints. Some of these require integrating the surrogate model over the entire design space with …

Main-Chain Ion-Pair Polybenzimidazole Membranes Enabling Reduced-Temperature Ht-Pemfc Operation (Down To 120°C), Brian C. Benicewicz, Huina Lin

Faculty Publications

Proton exchange membrane (PEM) fuel cells are promising for clean and efficient energy conversion across diverse applications. High-temperature PEM fuel cells (HT-PEMFCs) using phosphoric acid (PA)-doped polybenzimidazole (PBI) can operate up to 200°C, but at lower temperatures, water-induced PA loss often leads to performance degradation and reduced durability. In this work, we present a new class of main-chain ion-pair PBI membranes by integrating the imidazolium-biphosphate ion-pair units directly into the PBI backbone. This design results in membranes with high acid content, stronger acid-polymer interactions and stabilized acid retention. In single-cell tests, the Im+-PBI15-3 wt.% exhibits peak power densities of 0.79 …

Matching Two Long Interferometric Pathlengths Using Low Temporal Coherence Light For Finding Hong–Ou–Mandel Dip, Keith A. Wyman, Noah S. Everett, Anil K. Patnaik

Faculty Publications

Hong–Ou–Mandel (HOM) dip from a biphoton source in a two-photon interferometer provides a myriad of quantum tools for quantum communication and sensing. But the stringent requirements for spatial coherence between the photon pair makes it prohibitively difficult to observe high-fidelity HOM dip in long-distance free-space implementations, e.g., for the photon pairs involved in quantum communication need to match the two path lengths within a few 10 s of micron because of the short coherence width of the two-photon wave-packet. While many techniques for the pathlength balancing of two interferometric arms have been studied and applied extensively, such balancing is further …

A Global Internal Tide Modeling Framework For Improving Satellite Observations Of Fine-Scale Ocean Circulation, Badarvada Yadidya, Brian K. Arbic, Edward D. Zaron, Jay F. Shriver, Maarten C. Buijsman, Eric P. Chassignet, Loren Carrère, Michel Tchilibou

Faculty Publications

Small-scale oceanic eddies and filaments mediate the vertical exchange of heat and carbon within the global ocean. The Surface Water and Ocean Topography (SWOT) mission resolves these features through wide-swath interferometry, but internal tides often mask these observations. Non–phase-locked internal tides present special difficulty because they vary with the evolving ocean background. We show that this chaotic variability can be predicted. We use a data-assimilative ocean forecast model to resolve the mesoscale environment and separate tidal signals from the broader circulation. The model captures the organized structure of these incoherent waves in the independent SWOT measurements. Correcting for the total …

Winddensity-Mbir: Model-Based Iterative Reconstruction For Wind Tunnel 3d Density Estimation, Karl J. Weisenburger, Gregery T. Buzzard, Charles A. Bouman, Matthew R. Kemnetz

Faculty Publications

Experimentalists often use wind tunnels to study aerodynamic turbulence, but most wind tunnel imaging techniques are limited in their ability to take non-invasive three-dimensional (3D) density measurements of turbulence. Wavefront tomography is a technique that uses multiple wavefront measurements from various viewing angles to non-invasively measure the 3D density field of a turbulent medium. Existing methods make strong assumptions, such as a spline basis representation, to address the ill-conditioned nature of this problem. We formulate this problem as a Bayesian, sparse-view tomographic reconstruction problem and develop a model-based iterative reconstruction algorithm for measuring the volumetric 3D density field inside a …

White Matter Microstructure Of Sensorimotor Projection Fibers In Chronic Low Back Pain, John R. White, Jennifer M.C. Vendemia, Zachary Baty, Sheri Silfies, Stephen A. Coombes

Faculty Publications

Introduction: 

Chronic low back pain (cLBP) is linked to altered cortical sensorimotor structure and function, yet white matter microstructure in sensorimotor projection fibers remains poorly characterized. Objective: To address this gap, we used diffusion MRI to comprehensively characterize sensorimotor projection fibers in 44 patients with cLBP and 41 matched healthy controls.

Methods: 

We estimated an array of microstructural measures, including fractional anisotropy (FA), extracellular free water fraction (FW), free water–corrected FA (fwcFA), and neurite orientation dispersion and density imaging (NODDI) metrics.

Results: 

General linear models identified significantly higher FA and fwcFA and lower orientation dispersion index (ODI) in cLBP vs …