Digital Commons Network^™

Experience Therapy: How Service Experiences Regulate Everyday Negative Affect, Chang Ma Ph.D., Jae Eun Park, Alei Fan, Laurie Wu

Faculty Publications

In today's fast-paced and high-pressure society, maintaining emotional well-being requires effective strategies for managing everyday negative affect. This research examines the role of service experiences in reducing negative affect and introduces experience therapy as a novel strategy for affect regulation. Through a series of studies, we assess the effectiveness of experience therapy and investigate how different service experiences—varying in levels of personal effort involvement and social involvement—contribute to negative affect regulation. The findings demonstrate that experiences requiring high personal effort and social involvement are particularly effective in alleviating negative affect, especially among emotionally stressed individuals. These effects are mediated, respectively, …

The Historical Persistence Of Working-Class Culture: How Laborers Created The Ethical Foundation Of Western Civilization, Kenneth Atkinson

Faculty Publications

This article highlights four historical events that shape our present: the world’s first industrial strike in ancient Egypt to protest workers’ health and safety; working-class efforts to improve labor conditions during the Roman Republic and Middle Ages through strikes and the creation of guilds; the social justice activism of the prophets of Western religions (all working-class folks!); and the creation of the selfie and the transition from a culture of character to our present obsession with celebrities and individualism that began during the Renaissance. Each case highlights unique features of working-class culture, working class reactions to societal changes, and the …

Does Patient History Influence Capsular Contracture? An Exploratory Analysis With Machine Learning, Thomas M. Johnstone, Daniel Najafali, Jennifer K. Shaw, Justin M. Camacho, Chancellor Johnstone, Rahim S. Nazerali, Gordon K. Lee

Faculty Publications

Background: Capsular contracture (CC) is a frequent and distressing complication of breast augmentation and reconstruction. Although numerous patient-, surgical-, and implant-related risk factors have been proposed, reliable population-level predictors remain inconsistent across studies. This study evaluates whether administrative medical history, as encoded by ICD and CPT codes, contains sufficient predictive signal to identify patients at risk for CC using machine learning. Methods: Patients were queried from the MerativeTM MarketScan® Research Databases from 2003 to 2017 with CPT codes for implant-based breast reconstruction and augmentation. ICD codes were then used to identify all events and conditions of a patient’s history. Hyperparameter-tuned …

Backscattering By Particles Of Sizes <0.2 Μm In Seawater, Xiaodong Zhang, Yuanheng Xiong

Faculty Publications

We measured the angular scattering functions at 517 nm in different size fractions, including bulk and very small particles (VSP for diameters <0.2 μm), in a variety of waters ranging from coasts to open oceans and from surface to depths as deep as 3,000 m. The measurements revealed a strong covariation in backscattering between VSP and bulk particle populations. The fractional contribution by VSP decreases from 60% in clear oceanic water where bulk particle backscattering coefficient bbp is on the order of 0.001 m⁻¹ to <2% in turbid coastal water where bbp ∼0.1 m⁻¹. An empirical model is developed (r² = 0.89) to estimate bbp for VSP from the bulk bbp, which can now be routinely obtained from satellite observations.

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. …

The Meaning And Measurement Of Unrealised Fertility: A Comparison Of Measures Among Women Ages 40-49 In The United States, Kathleen Broussard

Faculty Publications

Unrealised fertility – when people fall short of their childbearing goals – is inconsistently defined and measured, leading to wide variation in estimates of its prevalence and implications for health and well-being. Using a nationally representative sample of U.S. women aged 40–49, this study compares four potential approaches to measurement, finding prevalence estimates that range from 3.5% to 22.4% across indicators. Multivariable logistic regression models reveal that the social and reproductive health correlates of unrealised fertility also vary according to the selected indicator. Improved measures of unrealised fertility are needed to inform our understanding of fertility barriers, including who is …

The Lawyer Is In!: Copyright Litigation Over Time, Ellen Amatangelo, Marissa Bischoff, Morgan Capitan, Jack Newman

Faculty Publications

This presentation is an overview of copyright litigation that has affected libraries. The session provides a hands-on look at specific cases and how they have affected and changed library work over time. A lawyer from the BYU Copyright Office provides commentary on each case and librarians discuss the impact of these cases on library policy. This helps to alleviate librarians' fear of copyright and legislation and provides guiding principles for the future.

This session was hosted by the Copyright Education Roundtable and presented at the Utah Library Association 2026 Annual Conference.

Operational Responsibility In Ai Governance: A User-Centric Liability Framework, Zhengyang Chen

Faculty Publications

Who bears responsibility when artificial intelligence systems cause harm? This question has become central to AI ethics and governance. Most existing approaches focus on developers, yet this faces serious practical and theoretical problems. Drawing on tort law, agency law, and philosophy of technology, this paper argues that AI should be understood as an instrument whose outputs remain the responsibility of human operators rather than developers. We call this 'user-centric governance.' Placing accountability with deployers promotes public trust by creating clear lines of responsibility, a concern that governance approaches have often overlooked. It preserves democratic accountability by keeping human actors answerable …

The Impact Of Dispatch Weight Restrictions On Derivative Aircraft Propulsion Technology Evaluation, Timothy T. Takahashi

Faculty Publications

This paper arises from an ARPA-E-sponsored project seeking design opportunities to retrofit existing aircraft with hybrid electric propulsion systems. Engineers typically configure aircraft to fly a given payload over a long range, which is subject to field performance constraints. In practice, operators fly transport aircraft (civilian and military) in a manner where dispatch consciously trades payload and/or range to enable safe operations to and from short runways. This work describes a simple yet novel analytical process suitable for inclusion in conceptual design or technology portfolio trade study evaluations to assess the impacts of weight-restricted dispatch upon usable payloads. We find …

Radio Frequency Resonate And Fire (Rf-Raf) Neurons Supporting Device Classification, David L. Weathers, Michael A. Temple, Brett J. Borghetti

Faculty Publications

Radio Frequency Fingerprinting (RFF) enables passive physical-layer device authentication by exploiting unintentional hardware variations in wireless transmitters. Neuromorphic implementations are attractive, given their potential for low-latency, energy-efficient inference capability under Size, Weight, and Power (SWaP) constraints at the edge. A new RFF capability is demonstrated here using recently introduced Radio Frequency Resonate-and-Fire (RF-RAF) neurons and eight WirelessHART devices. Performance is evaluated for RF-RAF-generated fingerprints against the established Gabor Transform (GTX) baseline using three classifier architectures: Random Forest (RndF), Convolutional Neural Network (CNN), and a Time-Incremented Spiking Neural Network (TI-SNN). The results show that RF-RAF fingerprints achieve an average classification accuracy …

Pioneering Change: Digital Reformatting For Sustainable Av Stewardship, Cory Nimer, Ben Harry, Abby Beazer, Miya Jensen, Michael Gates, Karen Glenn

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 …

Inconsistencies Emerge Between Regional And Local-Scale Water Security Metrics At Military Installations, Abigail Birnbaum, Michael L. Berg, Caitlin Grady, Daniel J. Weeks, Christopher M. Chini

Faculty Publications

Recent United States federal policy for military installations has emphasized the importance of developing a standardized approach for water security assessment to monitor changes in water resources and the ability for an installation to meet both its civilian and mission needs. For military installations in the United States, these assessments must consider demands both inside and outside the installation’s fence line, as regional resources are required to meet mission readiness. Focusing on physical water scarcity, this study compares four water security metrics with unique formulations and spatial resolutions, including an installation-scale metric and multiple regional metrics defined for either baseline …

Visual Cues In Online Education: How Emojis In Asynchronous Instructor Communication Strengthen Emotional And Behavioral Outcomes, Minseong Kim, Tami L. Knotts, Nancy D. Albers, Karen E. James

Faculty Publications

Online learning environments often lack nonverbal cues that support relational communication between instructors and students, making it difficult to establish emotional connection and trust. This study examines how emojis, as affective visual cues, influence instructor credibility, emotional attachment, trust, and responsible behavior in asynchronous online education. A scenario-based experiment was conducted with 297 undergraduate students who were randomly assigned to view an instructor email either with or without emojis. Participants subsequently evaluated the instructor’s credibility (expertise, trustworthiness, and likeability), as well as their emotional attachment, trust, and anticipated responsible behavior. The results indicate that emojis significantly enhance perceived likeability, which …

Systematic Reviews Across Disciplines: Comparing Quality And Publication Practices, Megan Bresnahan, Eugenia Opuda

Faculty Publications

As the publication of systematic reviews has proliferated across the sciences in the past decade, librarians have a role in helping researchers select the appropriate type of review, providing best practice guidelines, and under-standing variations in disciplinary practices for evidence synthesis. Using a title-abstract search filtered by 10 research areas in the Web of Science, we collected a sample of 100 systematic reviews from a range of disciplines, including “Fisheries,” “Forestry,” “Health Care Sciences & Services,” and “Veterinary Sciences.” Our analysis of this data explores to what extent these articles include the basic components of a systematic review and adhere …

Analysis Of Approximations In Flash Thermal Diffusivity Measurements Using High‑Fidelity Simulations, Tage T. Burnett, Jakob G. Bates, Matthew R. Jones, Christopher R. Dillon, John Tencer

Faculty Publications

Thermal diffusivity is an important material property for understanding and characterizing transient behavior in many heat transfer applications. This study investigates the accuracy and approximations of inverse mathematical models for measuring thermal diffusivity of materials via the widely used Flash Method. High-fidelity simulations of the Flash Method in copper, silicon carbide, silicon, and glass were performed as numerical experiments and included physics such as in-depth absorption, radial conduction, and surface convection. Data from those numerical experiments were used to estimate material thermal diffusivity using seven traditional and new inverse models. Parker’s original model had relative errors 𝜖< 5% when the approximations it makes were enforced in numerical experiments. Newer models performed well even when experimental restrictions were relaxed. Models that include radial heat conduction were capable of accurately measuring thermal diffusivity (𝜖< 1%) when a Gaussian energy source was used. Models with radial conduction and in-depth material absorption of the laser source could calculate thermal diffusivity for semi-transparent materials such as silicon (𝜖< 1%) and even transparent materials like glass (𝜖< 10%). Convective losses from the material’s front surface had a negligible impact on measurements except for very low thermal diffusivity materials. Using temperatures from many locations of the test material’s surface increased resilience to noise, reducing the distribution of thermal diffusivity measurements by more than an order of magnitude. The models developed in this study could enable a more relaxed Flash Method experimental setup that maintains thermal diffusivity accuracy and extend the utility of the Flash Method to semitransparent materials.

Institutional Silence And The Governance Of Women College Athletes’ Reproductive Autonomy In The United States, Tarlan Chahardovali, Molly Harry Ph.D., Emily S. Mann Ph.D.

Faculty Publications

This study examines how women college athletes understand their pregnancy-related rights and protections and how institutional communication – or its absence – shapes reproductive autonomy within college sport. Guided by a reproductive justice framework, it conceptualizes pregnancy as a site of reproductive governance shaped by institutional policies, norms, and silences within performance-oriented sport organizations. The analysis draws on semi-structured interviews with 25 women college athletes from various NCAA Division I institutions in the United States, conducted between September 2023 and July 2024 in the post-Dobbs legal context, and uses reflexive thematic analysis to examine athletes’ knowledge of Title IX and …

Ai Need Not Make One Slothful, Roy A. Kaelin Jr

Faculty Publications

As National Louis University seeks to plan and advance its way amid the potential perils and pitfalls of so-named artificial intelligence, one finds that with reasonable workflows and guard rails, the use of AI proposes both potential promise and prospect, to assist and augment the natural intelligence that students and teachers bring to the classroom, encouraging them to pursue STEM-related activities with the preparation and deployment of focused and directed AI-bots. This paper presents examples and a case study of that directed and focused approach, the incremental lessons learned to date, and a proposed path to advance worthwhile AI …

Increasing Pride Skills For Child Engagement Using Cdi-Only Ipcit With Children With Autism Spectrum Disorder, Jordan T. Etherington, Zachary C. Labrot, Emily R. Defouw, Brad Dufrene, Brittany D. Garza, Amarah Sweaks, Briley Newcomb

Faculty Publications

Many children with autism spectrum disorder (ASD) display elevated levels of challenging behaviors and decreased social engagement. Parent Child Interaction Therapy (PCIT) may help children with ASD increase rates at which they engage and interact with their caregivers. Existing barriers to treatment completion, including high attrition and travel time and costs, may be ameliorated by delivering PCIT virtually (iPCIT) and setting attainable mastery criteria. This study utilized a multiple baseline design across three caregiver-child dyads with ASD to determine whether an iPCIT protocol affected caregivers’ use of positive engagement skills, children’s engagement, and children’s challenging behaviors. Results demonstrated increased and …

Wrky Transcription Factors: Integral Regulators Of Defence Responses To Biotic Stress In Crops, Dongjiao Wang, Ruize Zhang, Wenhui Zou, Yuanyuan Zhang, Wanying Zhao, Tingting Sun, Qibin Wu, Zheng Qing Fu, Youxiong Que

Faculty Publications

Crops are continually challenged by biotic stresses, including fungal, bacterial and viral pathogens and insect pests, which cause substantial yield and quality losses worldwide. WRKY transcription factors constitute a plant-specific and functionally diverse family that is central to immune regulation. Recent advances in genomic resources and multi-omics approaches have accelerated the identification and functional characterisation of WRKYs in crops. This review summarises the structural features and classification of WRKY genes and their genome-wide distribution across crop species. It also synthesises WRKY-centred regulatory modules that mediate resistance to major classes of biotic stress. In antifungal defence, WRKYs reinforce pattern- and effector-triggered …

Measurements And Scaling Of Ion Propulsion Impulse During Driven Magnetic Reconnection, Fatima Ebrahimi, Nicholas A. O'Gorman, Kush Maheshwari, Jongsoo Yoo, Alexandre Sainterme, Hantao Ji

Faculty Publications

Impulse scaling during magnetic reconnection, the magnetic energy conversion to kinetic energy, via direct Mach probe measurements in Magnetic Reconnection Experiment is examined. Ion exhaust velocity and impulse scalings with reconnecting magnetic field during the push phase of driven reconnection are presented. The outflows and impulse measurements are compared with global MHD simulations. Both measurements and simulations reveal a favorable scaling, greater than linear, of impulse with reconnecting field. These scaling results establish that magnetic reconnection could be utilized for plasma propulsion.

Examining The Psychometric Structure Of An Instrument To Measure Students’ Interests And Motivation In Science Learning: Factor Analysis And Measurement Invariance, Fuhui Tong, Shifang Tang, Zhuoying Wang, Beverly J. Irby

Faculty Publications

In this study, we examined the psychometric properties (reliability, validity, and underlying factor structure) and measurement invariance of a researcher-developed instrument: Motivated Strategies for Science Learning (MSSL). Data were collected from 2765 fifth-grade students across [state withheld] school districts. Results from exploratory and confirmatory factor analyses suggested satisfactory psychometric properties of MSSL. We further identified strong evidence to support configural, metric, scalar, and strict invariance across school location groups (i.e., rural and non-rural), confirming that the instrument can accurately capture the construct of science learning motivation among fifth-grade students from both rural and non-rural Texas schools. The study provides the …

Climate Change And The Reconfiguration Of Arctic Access, Charles H. Norchi, Amanda H. Lynch

Faculty Publications

The Arctic is warming faster than any other region on Earth, with surface air temperatures increasing at a rate nearly four times the global average.1 This amplification of global change has been reshaping the Arctic for decades, altering sea ice extent and thickness, snow regimes, permafrost stability, and hydrological systems. Against this backdrop, a persistent narrative has taken hold that the diminishing cryosphere2 is setting the table for opportunity: opening the Arctic to navigation, development, and exploitation. But this thaw renders the Arctic neither benign nor uniformly accessible. The region remains frozen for most of the year, dark for months …

Sheets Of Spectral Data Of Stokes Waves In Weakly Nonlinear Models, Benjamin F. Akers, Ryan Creedon

Faculty Publications

We study the spectral stability of small-amplitude Stokes waves in a family of weakly nonlinear, unidirectional models of the form u_t + Lu + (u²)_x = 0. We introduce a perturbation method to expand the spectral data in wave amplitude near flat-state eigenvalue collisions, with the ratio of the colliding modes as a free parameter. This yields sheets of spectral data whose slices at fixed amplitude give isolas of instability. The same perturbation framework treats both high-frequency and Benjamin--Feir instabilities, extends to discontinuous dispersion relations (including the Akers--Milewski equation), and, for the first time, provides an …

Libraries And Librarians Get After Participatory Science, Catherine Wong, Megan Bresnahan

Faculty Publications

No abstract provided.

Temperature Determination And Scene Change Artifact Mitigation When Using Fourier-Transform Spectroscopy On Targets With Time-Varying Temperature, Kody A. Wilson, Michael L. Dexter, Benjamin F. Akers, Anthony L. Franz

Faculty Publications

Fourier-transform spectroscopy is a widely used technique for determining the spectral and thermal properties of a target. However, target temperature variations during measurement can compromise the spectral accuracy. Temperature fluctuations induce oscillations superimposed on the target spectrum. These oscillations, referred to as scene-change artifacts, degrade the spectral accuracy. The literature is divided, with theoretical predictions suggesting negligible artifacts and growing experimental evidence reporting significant artifacts. This paper presents a theory and experimental validation of scene-change artifacts originating from target temperature variations. Traditionally, the interferogram offset is assumed to be constant, an invalid assumption for a changing scene. The error is …

Characterizing The Unique Chemical Imprint Of On-Axis, Lower-Temperature Hydrothermal Flow To The Deep Ocean (Southern East Pacific Rise, 16.5°–18.0°S), Laura E. Moore, Randelle M. Bundy, Joseph A. Resing, Scott M. White, Tamara Baumberger, Peter N. Sedwick, Nathaniel J. Buck, Anson M. Antriasian, Isaac Keohane

Faculty Publications

In addition to high-temperature vents, lower-temperature flow (LTF) (< 300°C) is abundant along mid-ocean ridges and contributes globally-important fluxes of heat and water along with largely-unconstrained geochemical influences on the ocean. We examined the impact of on-axis LTF on the chemical composition of the overlying water column (< 40 m above seafloor) along the 16.5°–18.0°S sector of the ultrafast-spreading southern East Pacific Rise using autonomous underwater vehicle Sentry surveys and conductivity-temperature-depth rosette casts. LTF sites were typically spatially isolated from high-temperature systems and imparted unique chemical signatures to the overlying ocean. Water column samples impacted by LTF exhibited low particulate iron:sulfur ratios and high methane: total-dissolvable manganese ratios, whereas samples influenced by high-temperature venting exhibited opposite trends. We confirmed that LTF imparts a distinct and measurable chemical signature to the water column, independent from high-temperature vents. Isolated, on-axis LTF will be important to consider when assessing hydrothermal circulation impacts upon ocean biogeochemistry.

Impact Of Collodion Thickness On Fission Track Generation Within Lexan Employed For Nuclear Forensic Analyses, Ryan K. Chapman, Zachary P. Meisel, Abigail A. Bickley

Faculty Publications

We report results from a computational study of fission track damage within a Lexan substrate caused by ²³⁵U suspended within a collodion film of varied thickness. MCNP6.3 was used to model energy deposition and displacements per atom within a Lexan film coated by a film of collodion, located within the air-filled 6 inch dry tube of a TRIGA reactor. The collodion layer was varied between 20 and 100 μm thickness, resulting in an 8.8% difference in energy deposition and 12% difference in displacements-per-atom within the Lexan substrate. These findings indicate that collodion adhesive thickness has a moderate impact on …

Tunable Shock And Vibration Damping In Metal Laser Powder Bed Fusion Components Via Controlled Post-Print Compaction Of Particle Damper Cavities, Joud N. Stame, Yanzhou Fu, Samuel Roberts, Austin Downey, Tianyu Zhang, Lang Yuan, Daniel Kiracofe

Faculty Publications

Components manufactured by Laser Powder Bed Fusion (LPBF) can incorporate particle dampers (PDS) by retaining unfused powder within internal pockets, providing inherent vibration suppression without added mass or separate damping components. This study investigates the damping performance of such LPBF-integrated PDs through two complementary approaches: (1) quantifying the effect of post-printing volume compression on energy absorption by mechanically indenting the damper pocket, and (2) evaluating how variations in particle packing density influence the dynamic response under both sinusoidal and transient impulse excitation. Experimental results from shaker and shock testing demonstrate that increased packing density, whether by compression or tighter confinement, …

Comparison Of Anomaly Detection Methods On Event-Based Vision Sensor Data In A High Noise Environment, Will Johnston, Anthony L. Franz, Shannon R. Young, Rachel Oliver, Zachary Theis, Brian Mcreynolds, Michael L. Dexter

Faculty Publications

Event-based vision sensors (EVSs) provide unique frequency analysis opportunities due to their event data output and high temporal resolution. Anomaly detection methods used in hyperspectral analysis can be used on the event frequency spectra to detect targets. However, the introduction of a strong, flickering interfering source can reduce the EVS sensitivity and obscure targets of interest. Previous work presented a method showing that targets could still be detected through an overwhelming source using frequency analysis, background suppression, and statistical filtering. This paper extends that research and compares the ability of five different eigenanalysis anomaly detection methods (principal component background suppression …

Changes In Depression, Eating, Sleep, And Emotion Regulation In Air Force Rotc Cadets After The 12-Wk Star Training Program, Antonella V. Schwarz, Hunter Haynes, Sheena Puleali’I, Jacob Mota, Molly F. Johnson, Maria G. Kaylor, Andrew Addison, Robyn Braun-Trocchio, Austin J. Graybeal

Faculty Publications

Introduction: – Reserve Officer Training Corps (ROTC) cadets must balance collegiate demands with military preparation, leaving them vulnerable to psychological stressors. While structured strength and conditioning (S&C) programs enhance physical readiness, their impact on psychological health in cadet populations remains unclear. This study evaluated changes in depression, eating behaviors, sleep quality, and emotion regulation during a 12-wk S&C program. Methods: – Forty-nine U.S. Air Force ROTC cadets (21 female, 28 male; age: 20 ± 2 yr; body mass index: 24.2 ± 4.4 kg·m⁻²; body fat %: 27.1 ± 9.0%) completed the Supporting Tactical Athlete Readiness (STAR) program, a …