Digital Commons Network^™

Methods For Tagging Whale Sharks: Insights Into Performance And Best Practices With A Focus On Clamp Attachments, Freya C. Womersley, Sofia Green, Alberto Garcia-Baciero, Ronan Conlon, Amy L. Jeffries, Matt J. Waller, Sara S. Ratão, Nuno Queiroz, Pedro Afonso, Gonzalo Araujo, Adam Barnett, Christine Barry, Michael L. Berumen, Farukhkha Bloch, Ginevra Boldrocchi, Camrin D. Braun, Ryan Caillouet, Constance Chapman, Jesse E.M. Cochran

Faculty Publications

Background: Biologging and telemetry have transformed our understanding of marine megafauna movement ecology. Yet, methodological constraints continue to limit data quality and deployment duration. Devices recording whale shark (Rhincodon typus) behaviours and movements have been used for decades, but they remain challenging to deploy and vary in success. Recently, spring-loaded clamp-based systems have emerged as one of the most widely used approaches to attach electronic tags to the fins of this globally endangered species. Currently, however, no consensus guidelines exist as to how to optimise this approach, potentially leading to continued underperforming deployments limiting analysis potential. Here, we synthesise experiences …

Genai And The Self Represented Litigant, Kristen Clarke Kellems, Kristen Clarke Kellems, Kristen Clarke Kellems

Faculty Publications

Generative AI is making it easier for self-represented litigants to produce polished legal documents, but easier filing does not necessarily lead to better outcomes. This presentation examines how AI may expand access to courts while increasing weak filings, early dismissals, and burdens on the legal system.

The session reviews attorneys’ duties of technological competence, confidentiality, supervision, and citation verification. It also distinguishes general-purpose AI from legal research tools. Using a Utah third-party custody and guardianship problem, the presentation compares several tools based on statutory accuracy, legal comprehension, treatment of case law, and completeness. The results show that identifying controlling cases …

Tax Exceptionalism After Loper Bright, Conor Clarke, Noah Hertz Marks

Faculty Publications

In this article, the authors consider what Loper Bright means for the relevance of Mayo Foundation and National Muffler as well as its broader implications for agency-specific deference, and they examine older case law that can be helpful post-Loper Bright.

Equal Goals, Unequal Standards: The Policy Debate On Goalpost Dimensions In Women’S Football, Tarlan Chahardovali, Johan Rewilak Ph.D.

Faculty Publications

This study critically examines proposals to reduce goalpost sizes in women’s football; a debate often framed as a practical adjustment to accommodate physiological differences between male and female goalkeepers. Using data from men’s and women’s professional English football within two distinct periods (1951–1975 and 2011–2025), we investigate whether differences in goalkeepers’ height, gender and training are associated with variations in goals conceded. Our findings reveal that taller goalkeepers concede fewer goals; however, this relationship is U-shaped and this benefit diminishes beyond a certain point. We also find that improved coaching and investment, proxied by additional training via national team selection, …

The Evolution Of Reliability Methods For Nondestructive Evaluation (Nde): From Probability Of Detection (Pod) Conception To Contemporary Practices, Christine E. Knott, Jennifer Brown, John Aldrin, Christine M. Schubert Kabban

Faculty Publications

Nondestructive evaluation (NDE) methods are powerful tools for detecting and characterizing flaws in structural components, but their reliability must be evaluated before they can be used in critical applications. For more than 50 years, probabilistic and statistical methods have been used effectively to estimate reliability by describing an NDE system’s Probability of Detection (POD) for flaws of realistic sizes. The POD methods used by the USAF and NASA, like Hit/Miss, Signal-Response (â vs. a), and Point Estimate method (PEM, a.k.a. 29/29) have evolved, alongside newer approaches like Limited Sample POD (LS-POD) method, and Model Assisted Probability of Detection …

Karhunen-Loève Modes For Coherent Arrays, Jack E. Mccrae, Santasri R. Bose-Pillai, Steven T. Fiorino

Faculty Publications

The optimal modes for correcting atmospheric turbulence on coherent arrays are determined. These Karhunen-Loève modes are eigenvectors of a covariance matrix. Creating this covariance matrix requires knowledge of the power spectrum of the turbulence, the aperture geometry, and a basis set for the matrix. The Kolmogorov power law is ordinarily chosen here for the turbulence spectrum. By choosing the phase on each array subaperture element minus the phase averaged over all subapertures as this basis, infinite values in the variances and covariances can be avoided. The piston mode of the whole array, which would otherwise also be infinite, is thus …

Evaluating A Dual-Beacon Hartmann Turbulence Profiling Technique Using Wave Optics Simulations, Benjamin C. Wilson, Matthew Kalensky, Santasri Bose-Pillai, Jack E. Mccrae

Faculty Publications

Resolving how optical turbulence varies along a propagation path remains a key challenge for designers of free-space optical propagation systems. Instruments such as scintillometers and differential image motion monitors are commonly used, but only provide path-integrated turbulence estimates. Point sensors provide localized estimates of turbulence strength and can be used to generate path-resolved profiles when an array of point sensors are distributed along the optical path. However, this approach can be costly and complex to deploy in certain environments. Alternatively, a single point sensor can be mounted on a mobile platform that collects data while traversing the optical path, although …

Appellate Oral Argument In The Federal Courts Of Appeals: A Vestige Of The Past, Or A Vital Check On Intuitive Decision-Making?, Jessica K. Webb

Faculty Publications

No abstract provided.

Development Of Robust Ratio Linear Fitting Method Of Temperature And Emissivity Separation For High-Temperature Data, Mitchell Manzardo, Michael L. Dexter, Shannon R. Young, John Bowlan, Anthony L. Franz

Faculty Publications

Accurate temperature and emissivity separation from thermal infrared radiance is essential for characterizing materials under high-temperature laboratory conditions. Existing temperature and emissivity separation methods have largely been developed for multispectral remote sensing applications, where long atmospheric path lengths require extensive atmospheric compensation. In contrast, the current work considers hyperspectral laboratory measurements acquired over a short optical path, where atmospheric effects are comparatively small but increased measurement uncertainty remains within portions of the measured spectrum. The ABB MR304 FTIR spectrometer used in this study exhibits reduced optical transmission below approximately 2.5 μm, producing increased measurement uncertainty within the spectral region containing …

Effective Visibility In The Infrared Bands, Peter L. Dean-Erlander, Steven T. Fiorino, Ronald G. Driggers

Faculty Publications

Visibility is an atmospheric metric for the comparison of terrestrial imaging conditions and locations. A limitation of visibility is that it is defined for the visible spectrum only, and there is no simple infrared equivalent. This study compares three reflective infrared wavebands: near-IR (NIR), shortwave IR (SWIR), and extended shortwave IR (eSWIR), to the visible band across a global set of cities to develop three rule-of-thumb functions for IR effective visibility. To accomplish this, a radiometric sensor model is combined with the Laser Environmental Effects Definition and Reference (LEEDR) software package to calculate the visibility of a black-and-white contrast target …

An Atmospheric Optical Turbulence Structure Parameter Measurements System Based On Direct Ri Sensing Using High-Resolution Fiber-Optic Sensors, Matej Njegovec, Simon Pevec, Vedran Budinski, Boris Macuh, Melissa K. Beason, Denis Onlagic

Faculty Publications

The paper presents a method to characterize the refractive index structure parameter (C_n²) associated with optical turbulence directly. The characterization system is based on miniature, high‑resolution, all‑fiber refractive index (RI) sensors. The refractive index sensors employ open‑path, low‑finesse Fabry–Perot interferometers that are approximately 8 mm long and 200 μm in diameter. The active part of the interferometers is made of ultra‑low‑expansion glass, which eliminates the influence of thermal expansion on the refractive index measurements. The proposed refractive index sensor, operating in a differential configuration, achieved a resolution of 2×10^-9 RIU using a custom‑designed spectral interrogation system …

Enhancing A Mid-Wave Infrared Fourier Transform Hyperspectral Imager For Explosions, James T. Stofel, Kody A. Wilson, Martin Larivière-Bastien, Anthony L. Franz, Michael L. Dexter

Faculty Publications

Capturing reliable hyperspectral imager data at a meaningful frame rate for explosions and other fast-changing scenes is not possible in the mid-wave infrared region under traditional sensor operating configurations and processing techniques, which typically have frame rates on the order of 0.5–2.0 Hz. To combat these shortcomings, the scene acquisition parameters were tailored for explosions and a new method for processing optical signatures of fast transient scenes with Fourier-transform infrared hyperspectral imagers was developed. For this technique, the instrument was first configured to collect asymmetric interferograms while optimizing the number of measurement points on the short side of the interferogram. …

Modeling Formation Of Turbulent Sporadic-E Clouds Using Realistic Wind Data, Aaron M. Schinder, Kenneth S. Obenberger, Jorge L. Chau, Juan M. Urco, Matthias Clahsen, Benjamin F. Akers, Daniel J. Emmons

Faculty Publications

A high resolution two-dimensional multi-fluid model of sporadic-E layers was developed and driven with physically realistic mesosphere, lower thermosphere (MLT) winds measured over Albuquerque, New Mexico. The realistic E-region winds are produced by the HYdrodynamic Point-wise Environment Reconstructor (HYPER) model that ingests meteor derived wind observations from a Spread-spectrum Interferometric Multistatic meteor radar Observing Network (SIMONe) system combined with the Navier-Stokes equations to provide high resolution three-dimensional wind fields over time. Sporadic-E dynamics are simulated using both realistic winds from HYPER as well as idealized hyperbolic tangent windshears to compare and contrast. Overall, the model shows greater inhomogeneity and irregularity …

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 …

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 …

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 …

Recommendations For Conducting Ethical Network Research, Francisca Ortiz Ruiz, Paola Tubaro, José Luis Molina, Jennifer Watling Neal, Raffaele Vacca, Jana Diesner, Jimi Adams, Michelle Birkett, Jenny Godley, Juniper Lovato, Michael Schönhuth, Laura Teves, Michael Zimmer

Faculty Publications

Ethical considerations in social network studies are grounded in the general principles of human subjects’ research, including avoidance of harm, promotion of justice, equitable distribution of burdens and benefits, respect for human dignity, and protection of confidentiality. To help navigate these challenges, this article presents recommendations for conducting ethical network research, developed by a multi-disciplinary and multi-national working group. The article is divided in three main sections where there are certain recommendations identified for each one of them: data collections, use, and availability. Discovering how others addressed and solved problems can be a way for all of us to improve …

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 …

Relationships Between Shared Group Properties: Theory, Measurement, Estimation, And Adjustment, Mark A. Maltarich, Paul D. Biese, Nichelle C. Carpenter

Faculty Publications

Teams researchers, meta-analysts, and others often study relationships between group-level constructs measured by aggregating individual-level variables, but it is well-known that group-mean correlations are influenced by individual-level relationships. We review multilevel issues and current practices in estimating and adjusting group-mean associations. We give special attention to comparisons across levels of analysis, and to adjustments for estimating population parameters. A Monte Carlo simulation study indicates that the two most commonly used adjustments in meta-analysis are ineffective in estimating population-based effect sizes. They frequently overestimate true relationships, sometimes severely. Indeed, simulations show that common adjustments move estimates away from population values in …

An Abundant Lack Of Introspection, Jonathan Adler

Faculty Publications

In this review Jonathan Adler critiques Abundance authors Klein and Thompson's analysis of how regulation is holding back progress in decarbonization, America's housing supply crisis, and innovation. While agreeing with the authors' assessment that regulation policy is hampering efforts in these areas, Adler objects to the book's proposals for improving regulatory bottlenecks, arguing the authors of Abundance refuse to acknowledge the role of market institutions in creating abundant supply or to admit the fault in their assumption that the failures of centralized government decision making can be repaired while maintaining centralized government decision making.

This abstract has been constructed from …

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 …

From Centrality To Sustainability: How Connected Boards Shape Waste Management Outcomes, Irfan Haider Shakri, Anh Tuan Nguyen, Fnu Pratima

Faculty Publications

The escalating climate crisis has elevated waste management from an operational concern to a critical issue of corporate governance. However, the role of board connectedness in shaping firms' waste practices remains largely unexplored. Drawing on resource dependency and social capital theories, this study examines how board network centrality influences waste management practices. Employing pooled OLS on 4948 firm- year observations from US- listed firms during 2004–2023, we find that higher board connectedness leads to a significant reduction in waste generation. Economically, a one standard deviation increase in DEGREE centrality is associated with a 3.4% decrease in total waste generation. Our …

Assessing Planetiq Gnss-Ro Ionospheric Electron Density And Tecusing Ground-Based Ionosondes And Cosmic-2, Mohammed Alheyf, Mohamed S. Yamany, Ibrahim F. Ahmed

Faculty Publications

Radio occultation (RO) has become a key technique for monitoring the ionosphere by deriving electron density (Ne) profiles and total electron content (TEC) from GNSS signals. This study assesses the newly deployed PlanetiQ GNOMES constellation by validating its ionospheric Ne profiles and profile-based TEC against collocated measurements from ionosondes and the COSMIC-2 mission under both quiet and disturbed geomagnetic conditions. Data matching for the statistical validation uses conservative spatial thresholds of less than 1◦ in latitude and longitude and temporal limits of 30 min for ionosondes and 1 hfor COSMIC-2, supported by a dedicated sensitivity analysis, whereas storm-time case studies …

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 …

Mapping The Tar Vrna Interaction With Hiv-1 Integrase, Jian Sun, Rahul Yadav, Tolga Catmakas, Luke Fisher, Nicholas C. Fitzkee, Jacques J. Kessl

Faculty Publications

A series of critical interactions within the viral core between viral RNA (vRNA) and HIV-1 Integrase (IN) has previously been reported. In these studies, contact points between vRNA and IN were identified using RNA-seq and MS-based protein foot-printing approaches. Several IN amino acids located in its C-terminal domain (CTD) were found to be essential for vRNA binding, and their alanine substitution severely impacted the correct morphogenesis of the mature viral core. Here, we have used the TAR element to extend these studies by performing a comprehensive mapping of the interaction by deploying RNA crosslinking and NMR methodologies. Together, these approaches …

Phenome-Wide Association Study Of P2rx7 Identifies Schizophrenia And Mood Disorders As Primary Associated Phenotypes, Ling Zhu, Qiao Mao, Zhixiong Luo, Bin Chen, Yong Zhang, Xiaowei Lu, Ping Liu, Jiawu Ji, Xiaoping Wang, Kesheng Wang Phd, Ma, Bs, Xinghua Pan, Yuping Cao, Na Liu, Jennifer Luo, Lingjun Zuo, Zhiren Wang, Xingguang Luo, Xiaoyun Guo

Faculty Publications

Objectives: P2RX7 has been implicated in bipolar disorder, major depressive disorder, schizophrenia, anxiety disorders, Alzheimer's disease, and Parkinson's disease. However, the specificity and comparability of these as sociations remain unclear. This study aimed to systematically evaluate multiple neuropsychiatric disorders to identify those most robustly associated with P2RX7.

Methods: We analyzed 1861 imputed SNPs spanning the P2RX7 gene in 1,087,925 individuals from 72 inde pendent cohorts across 18 neuropsychiatric disorders. SNP-disease associations were assessed within each cohort, followed by meta-analysis and false discovery rate (FDR) correction to identify significant disease-risk variants. P2RX7 mRNA and protein expression across tissues or cells …

Panda-Plus-Bench: A Clinical Benchmark For Evaluating The Robustness Of Ai Foundation Models In Prostate Cancer Diagnosis, Joshua L. Ebbert, Dennis Della Corte

Faculty Publications

Artificial intelligence foundation models are increasingly deployed for prostate cancer Gleason grading, where GP3/GP4 distinction directly impacts treatment decisions (active surveillance vs. intervention). However, these models may achieve high validation accuracy by learning specimen-specific artifacts rather than generalizable biological features, limiting real-world clinical utility. We introduce PANDA-PLUS-Bench, a curated benchmark dataset derived from expertly annotated prostate biopsies designed specifically to quantify this failure mode. The benchmark comprises nine carefully selected whole slide images from nine unique patients containing diverse Gleason patterns, with non-overlapping tissue patches extracted at both 512 × 512 and 224 × 224-pixel resolutions across eight augmentation conditions. …