Digital Commons Network^™

Fostering Belonging Through Library Descriptions, Nicole Lewis, Sharolyn Swenson, Katie Yeo, Karen Glenn

Faculty Publications

In late 2023, the BYU Library adopted its Inclusive Metadata Policy as part of its commitment to fostering a campus culture of belonging. This policy reflects the Statement on Belonging, which affirms that we “value and embrace the variety of individual characteristics, life experiences and circumstances, perspectives, talents, and gifts of each member of the community and the richness and strength they bring to our community.”[1] Catalogers and archival processors at the library are engaging in practices of cultural humility to ensure that the language and frameworks we use to describe people, communities, and histories are inclusive and respectful. …

Dilute Magnetic Impurity-Induced Effective Phonon Magnetic Moment In Fe-Doped Monolayer Mos2, Hussam Mustafa, Gaihua Ye, Cynthia Nnokwe, Mengqi Fang, Mohamed Kandil, Abdullah Al-Mahboob, Kai Wu, Andrew James Stollenwerk, Timothy E. Kidd, Paul M. Shand, Jerzy T. Sadowski, Eui Hyeok Yang, Yinong Zhou, Rui He, Wencan Jin

Faculty Publications

Realization of large effective phonon magnetic moment in monolayer MoS2 has established an important route for exploring intriguing magnetic phenomena in a nonmagnetic material. The sizable coupling between the orbital transition and the circularly polarized phonon results in the large effective phonon magnetic moment. In this work, using magneto-Raman spectroscopy, we investigate substitutional doping of magnetic atoms as a tuning knob of the electronic and phononic properties of MoS2. We show that Fe-doping polarizes the spin of the conduction bands and introduces a localized Fe band underneath the conduction band. As a result, an additional orbital transition between the Mo …

An Event-Based Time-Incremented Snn Architecture Supporting Energy-Efficient Device Classification, David L. Weathers, Michael A. Temple, Brett J. Borghetti

Faculty Publications

Recent advances in Radio Frequency (RF)-based device classification have shown promise in enabling secure and efficient wireless communications. However, the energy efficiency and low-latency processing capabilities of neuromorphic computing have yet to be fully leveraged in this domain. This paper is a first step toward enabling an end-to-end neuromorphic system for RF device classification, specifically supporting development of a neuromorphic classifier that enforces temporal causality without requiring non-neuromorphic classifier pre-training. This Spiking Neural Network (SNN) classifier streamlines the development of an end-to-end neuromorphic device classification system, further expanding the energy efficiency gains of neuromorphic processing to the realm of RF …

Who Gets Stitches? The Effects Of Rewarding Whistleblowers And Protecting Their Identity On Subsequent Willingness To Work With Others, Ryan D. Sommerfeldt

Faculty Publications

Companies are strongly encouraged to implement whistleblowing programs to help detect and deter misconduct in organizations, but whistleblowers often face ostracism as their coworkers are less willing to work with them (the whistleblower effect). Rewarding the whistleblower and protecting the whistleblower’s identity are two highly recommended features of whistleblowing programs that aim to encourage reporting. Across two experiments, I examine the spillover effects of these whistleblowing program features on how willing employees are to work with their coworkers after reporting occurs. I find that providing a reward to the whistleblower exacerbates the whistleblower effect, leading employees to work even less …

Examining The Effects Of Firearm Lethality And Aggressors’ Intentions To Kill On Injurious Firearm Violence At American Schools: A Research Note, Brent R. Klein, Cory Schnell, Steven M. Chermak, Joshua D. Freilich

Faculty Publications

This study examined firearm lethality and aggressors’ lethal intent on injurious fatal and nonfatal school shootings using data from The American School Shooting Study, which covers 329 school shootings in the United States from 1990 to 2016. We developed a new multidimensional construct for measuring shooters’ determination to kill and examined firearm characteristics while considering confounding factors. We identified 11 distinct categories of shooters’ intent, with most showing a strong desire to kill. Both intent and weapon lethality significantly impacted school shooting homicides. Overall, we recommend that prevention and theoretical models should address both factors.

Machine-Learning-Assisted Discovery Of Lattice Dynamics Signatures Of Sodium Superionic Conductors, Ogheneyoma Aghoghovbia, Riccardo Rurali, Mohammed Al-Fahdi, Joshua Ojih, De-En Jiang, Ming Hu

Faculty Publications

Sodium superionic conductors are key to the development of all-solid-state sodium batteries. Discovery of new superionic conductors has traditionally relied on insights from material defect chemistry and the transition/hopping theory, while the role of lattice vibrations, i.e., phonons, remains underexplored. We identify key lattice dynamics signatures that govern ionic conductivity by analyzing the phonon mean squared displacement (MSD) of Na+ ions. By high-throughput screening of a dataset of 3903 Na-containing structures, we establish a strong positive correlation between phonon MSD and diffusion coefficients, providing a quantitative correlation between lattice dynamics and ion transport. To accelerate this discovery, we incorporate …

Fluorinated Electrolytes For Lithium–Sulfur And Beyond-Lithium Metal–Sulfur Batteries, Avinash Raulo, Saheed Lateef, Hunter Mcray, Kaushek Rahul Ilancheran, Fabio Albano, Golareh Jalilvand

Faculty Publications

Metal–sulfur batteries, particularly lithium–sulfur (Li–S) systems, have attracted significant attention due to their high theoretical energy densities, low cost, and sustainability benefits arising from sulfur’s abundance and non-toxicity. Despite extensive research, their practical deployment remains limited by persistent challenges such as polysulfide shuttling and metal anode degradation, which collectively lead to poor coulombic efficiency and limited cycle life. These issues are further intensified in emerging systems employing sodium, potassium, magnesium, calcium, and siliconbased anodes. Fluorinated electrolytes have emerged as a promising approach to address these limitations. Fluorination enhances oxidative stability, suppresses polysulfide dissolution, promotes stable solid–electrolyte interphase (SEI) formation, and …

Effect Of Vitamin D Supplementation During Pregnancy And Lactation On The Development Of Infants Born To Tanzanian Women Living With Hiv: A Secondary Analysis Of A Randomised Controlled Trial, Temiwunmi Shobanke, Alfa Muhihi, Nandita Perumal Phd, Nzovu Ulenga, Fadhlun M. Alwy Al-Beity, Christopher P. Duggan, Wafaie W. Fawzi, Karim P. Manji, Christopher R. Sudfeld

Faculty Publications

Background Infants born to pregnant women living with HIV (WLHIV) are at greater risk for morbidity and mortality and may also have poorer developmental outcomes as compared with infants who are not exposed to HIV. Nutrition interventions in pregnancy may affect developmental outcomes.

Objectives This study evaluated the effect of maternal vitamin D supplementation on infant development outcomes.

Design We conducted a secondary analysis of a randomised, triple-blind, placebo-controlled trial of maternal vitamin D supplementation from June 2015 to October 2019.

Setting Antenatal care clinics in Dar es Salaam, Tanzania.

Participants Pregnant WLHIV and their offspring.

Interventions Daily 3000 IU …

On Good Terms: Pathways To Decolonizing Science-Appropriated Indigenous Terminologies In Arctic Research, Stanislav Saas Ksenofontov, Vera Kuklina, Alexander Kholodov, Andrey Petrov

Faculty Publications

Many western scientific disciplines adopted Indigenous Knowledge and terminology without deference to or understanding of the original meanings and values attached to Indigenous terms and concepts. This form of scientific appropriation has become a serious barrier to efforts of decolonizing Arctic research. The notion of Alaas is an example of such appropriation by the western science-based system of Indigenous knowledge about human–nature relations. This paper aims to discuss the term Alaas as it is conceptualized in both western science and Indigenous knowledge. The paper will explore the development of “alas” as an international permafrost science term and Alaas as an …

Effects Of Ethics And Culture On One's Trust In Cryptocurrencies: An Inter-Country Configurational Analysis, Arif Perdana, W. Eric Lee, Chu Yeong Lim, Gary Pan, Poh Sun Seow

Faculty Publications

The characteristics of cryptocurrencies, such as decentralization, fluctuation, and anonymity, have often raised ethical concerns about their impact on privacy, cybersecurity, prosperity, and liberty. With an increased awareness of the potential consequences, it is essential to address how, in the face of ethical challenges, and together with one's unique cultural values, various influences may affect the issue of trust toward cryptocurrencies. From an inter-country perspective, this study examines how ethical elements and cultural dimensions can interact to influence trust. In particular, we examine the ethical and cultural aspects of trust formation among cryptocurrencies’ users in the three predominant countries of …

Microarchitectural Malware Detection Via Translation Lookaside Buffer (Tlb) Events, Cristian Agredo, Daniel F. Koranek, Christine M. Schubert Kabban, Jose R. Gutierrez Del Arroyo, Scott R. Graham

Faculty Publications

Prior work has shown that Translation Lookaside Buffer (TLB) data contains valuable behavioral information. Many existing methodologies rely on timing features or focus solely on workload classification. In this study, we propose a novel approach to malware classification using only TLB-related Hardware Performance Counters (HPCs), explicitly excluding any dependence on timing features such as task execution duration or memory access timing. Our methodology evaluates whether TLB data alone, without any timing information, can effectively distinguish between malicious and benign programs. We test this across three classification scenarios: (1) A binary classification problem involving distinguishing malicious from benign tasks, (2) a …

Occulation Observations With Event-Based Vision Sensors [ Poster ], Rachel Oliver, Paul Rickerhauser, Brian Mcreynolds

Faculty Publications

Event-based vision sensors (EVS) offer exceptional change detection capabilities due to their asynchronous and independent pixels which record binary events with changes in their photocurrent. The resulting address event representation data is a sparse timeseries list.

Impression Motivations And Mental Health In Collegiate Athletes And Musicians: The Benefits Of Promoting Virtues, Mary L. Inman, Olufemi A. Oluyedun, Erin Moran, Brendyn Mroz, Madison Mccreery

Faculty Publications

This study identifies two key impression-management motivations that arise in public settings: promoting virtues and preventing harm to one’s image. We explored their impact on mental health—specifically, socially-based perfectionism and depressive symptoms. Drawing from regulatory-focus theory, we predicted promotion motivations would predict strong mental health, prevention motivations would predict poor mental health, and promotion motivations would buffer against the negative effects of prevention motivations. Collegiate athletes and musicians (N = 262) completed validated measures of impression motivation, perfectionism, and depressive symptoms. Results revealed that athletes reported lower levels of perfectionism and depressive symptoms than did musicians. Across both groups, …

Wave Intensity Analysis With Exercise Identifies Impairments In Pulmonary Hypertension, Christopher G. Lechuga, Farhan Raza, Mitchel J. Colebank, Claudia E. Korcarz, Jens C. Eickhoff, Naomi C. Chesler

Faculty Publications

Wave intensity analysis provides a novel approach to understanding the dynamic interactions between the right ventricle and pulmonary vasculature, particularly in pulmonary hypertension, a condition characterized by elevated pulmonary arterial pressures and vascular remodeling. This prospective study used wave intensity analysis to evaluate right ventricular and pulmonary vascular mechanics in 22 participants with pulmonary hypertension (including precapillary, isolated postcapillary, and combined pre/postcapillary pulmonary hypertension), and three without pulmonary hypertension. Forward and backward compression and decompression waves were quantified at rest and during incremental exercise (25, 50, and 75 W). Relationships between metrics of wave intensity analysis, hemodynamics, right ventricular function, …

Resolution Of Physics And Deep Learning-Based Protein Engineering Filters: A Case Study With A Lipase For Industrial Substrate Hydrolysis, Spencer Gardiner, Peter Dollinger, Filip Kovacic, Jörge Pietruszka, Daniel Ess, Karl-Erich Jaeger, Gunnar F. Schröder, Dennis Della Corte

Faculty Publications

Computational enzyme design remains a powerful yet imperfect tool for optimizing biocatalysts, especially when targeting non-natural substrates. Using design tools we investigated Pseudomonas aeruginosa LipA, a lipase with a flexible lid domain crucial for substrate binding and turnover, aiming to enhance its hydrolysis of the industrially relevant substrate Roche ester. We generated an initial set of single-point mutations based on structural proximity to the active site and evaluated their effects using a computational pipeline integrating molecular dynamics (MD) simulations, density functional theory (DFT) calculations, and ensemble-based energy scoring. While we identified several active variants, attempts to rank them by activity …

Binding Of A [2fe-2s] Cluster Drives Dimerization Of Ferric Uptake Regulator (Fur) In Escherichia Coli, Fatemeh Najafi, Aidan G. Purcell, Finbar H. Homes, Huangen Ding

Faculty Publications

The ferric uptake regulator (Fur) is a global transcription factor that reversibly binds an iron-sulfur [2Fe-2S] cluster via the cysteine residues (site 3) in response to elevation of intracellular free Fe content in Escherichia coli. Here, we report that when E. coli Fur is expressed in E. coli cells grown in M9 medium supplemented with Fe or zinc (Zn), purified Fur binds a [2Fe-2S] cluster or Zn(II), respectively. While apo-form Fur is a monomer and has no DNA-binding activity, both the [2Fe-2S] cluster-bound Fur and the Zn(II)-bound Fur are homodimers and have a similar binding activity for the DNA sequence …

From Cocaine To Avocados: Criminal Market Expansion And Violence, Chelsea Estancona Ph.D., Lucía Tiscornia

Faculty Publications

Most of what we know about organized criminal violence comes from research on illicit narcotics markets. Yet criminal groups also fight to capture markets for licit commodities, as evidenced by Sicilian lemons and Mexican avocados. When do organized criminal groups violently expand into markets for licit goods? We argue that rapid increases in the share of a good’s export value create opportunities for immediate profit and future market manipulation. These opportunities lead to violence as groups expand their territorial holdings and economic portfolio. We provide subnational evidence of our mechanism using data on avocado exports from Mexico, and address reverse …

Profit Shifting And The States: A Short Primer, David Gamage

Faculty Publications

This essay argues that corporate profit shifting remains one of the most significant challenges for U.S. state tax systems. Multinational enterprises continue to shift billions in profits to offshore tax havens, eroding state tax bases, distorting market competition, and forcing a greater reliance on more regressive taxes. We contend that the dominant "water's-edge" combined reporting method used by most states is structurally inadequate to combat modern profit-shifting techniques, which primarily involve the manipulation of intangible assets. The recent transformation of federal tax law (from GILTI to NCTI) and the global adoption of the OECD's Pillar 2 minimum tax framework create …

Out Of The Vacuum: The Effect Of Tax Liability Changes On Compliance In The Presence Of Withholding Position And Group Affiliation, Chelsea Rae Austin, Donna Bobek Schmitt, Spenser G. Seifert

Faculty Publications

Prior research has established that tax liability increases lead to decreased compliance. However, tax liability changes do not happen in a vacuum. Notably, prior research has also identified a withholding phenomenon: individuals in a tax due position are less compliant than those in a refund position. Additionally, tax law changes are often enacted in politically polarized environments. We examine how three factors—tax liability changes, withholding position, and group affiliation—combine to influence individuals' tax compliance decisions. Our experimental results show that a tax increase is universally experienced as a loss, even when coupled with a tax refund and enacted by an …

Physical Function And Pain As Predictors Of Movement Behaviors In Adults With Arthritis, Scott Jamieson, Sarah Wilcox Phd, Chih-Hsiang Yang Ph.D., Ye Sil Kim Phd, Christine Pellegrini Ph.D.

Faculty Publications

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Event-Based Sensor Noise Modeling For Space-Based Space Domain Awareness, Rachel Oliver, Brian Mcreynolds, Dmitry Savransky

Faculty Publications

Building off the foundation of a physics-based end-to-end model for event-based vision sensors (EVS) observing resident space objects (RSOs), we apply new techniques to model realistic low-light sensor noise. While previous approaches simulate memorized current leakage and apply temporal noise models, our methods improve on these approaches and additionally account for current-following noise as an event source. These improvements are key components for accurate event-generating simulators which can advise requirements and concepts of operations for dedicated event-based Space Domain Awareness (SDA) architectures. The EVS pixel’s independent and asynchronous recording of changes in photocurrent produces data with high temporal resolution and …

A C++ Library For Turbulent Mixing Simulation Using Hierarchical Parcel Swapping (Hips), Masoomeh Behrang, Tommy Starick, Heiko Schmidt, David O. Lignell

Faculty Publications

Turbulence models are crucial for simulating flows at all scales, capturing both large-scale structures and small-scale mixing. Software libraries that implement such models should support modular integration, customization, and scalability across different simulation frameworks. This paper presents Hierarchical Parcel Swapping (HiPS), a C++ library documented with Doxygen and available on GitHub. HiPS supports both mixing and reactions and can be used as a standalone model or as a subgrid model in CFD simulations. The code includes examples for users to run it as a standalone model. Additionally, considerations for using it as a subgrid model are provided.

Magnetic Nanoparticles Tethered With Zn–Dpa For The Removal Of Bacteria From Red Blood Cell Suspension, Tochukwu P. Okonkwo, Rajendra P. Gautam, Jacob B. Limburg, Breckin L. Forstrom, Bowen J. Houser, Aaron Rappleyea, Tyler P. Green, Joseph P. Talley, Alexander D. Daum, Stacey J. Smith, Karine Chesnel, William G. Pitt, Roger G. Harrison

Faculty Publications

Bacterial infections continue to drive the need for more effective and rapid methods for bacterial analysis. To address this, magnetic nanoparticles (MNPs) have emerged as promising tools, especially when their surfaces are modified with bacteria binders. The bis-zinc–dipicolylamine (Zn–DPA) complex is known for its broad affinity to bacteria. We have synthesized MNPs via a thermal decomposition method, encapsulated them in silica, modified their surface with Zn–DPA, and tested their ability to remove bacteria. The MNPs retain their superparamagnetic properties and crystallite structure after being encapsulated. The MNPs coated with silica and Zn–DPA effectively bind and remove both Gram-positive and Gram-negative …

Analyzing Lf/Vlf Lightning Waveforms To Estimate D-Region Electron Density Profiles, William R. Smith, Erin H. Lay, Kyle E. Fitch, Daniel J. Emmons

Faculty Publications

Lightning waveforms in the low frequency (LF; 30–300 kHz) and the very low frequency (VLF; 3–30 kHz) bands can be exploited to produce data-driven ionospheric D-region electron density profile (EDP) estimates with significantly higher spatial and temporal coverage than previously available. The lightning waveforms used in this paper are signals detected in the LF/VLF of negative cloud-to-ground lightning by the Earth Networks Total Lightning Detection Network. Each waveform contains a ground wave and a time-delayed ionospheric reflection. The time delay between the ground wave and ionospheric reflection has previously been used to estimate a single specular reflection altitude, where LF/VLF …

Time Series Changes Of Surficial Sediments On Eastern Ship Shoal, Louisiana Shelf, Adam Gartelman, Kehui Xu, Brian J. Roberts, David Samuel Johnson, Madison Liotta

Faculty Publications

Ship Shoal, a large transgressive sand body on the Louisiana continental shelf, is a critical sediment source for coastal restoration. This study evaluates spatial and temporal variability in sediment grain size, percents organic matter (%OM), and carbonate (%CO3) across the shoal crest (REF), Caminada Dredge Pit (CAM), and Terrebonne Dredge Pit (TER). Sediment samples were collected between 2020 and 2022 using box cores and analyzed for grain size, %OM, and %CO3, with temporal and spatial patterns assessed through statistical comparisons, correlation analyses, and random forest regression models. Results show that dredged areas act as sinks for fine-grained, organic-rich sediments, with …

A Comparison Of Characteristics Of Infilling Sediments In Three Mud-Capped Dredge Pits On The Louisiana Continental Shelf, Wenqiang Zhang, Kehui Xu, Chaochen Jia, Adam Gartelman, Omar Alawneh, Navid Jafari, Colin Herke, Madison Liotta, Samuel J. Bentley

Faculty Publications

Due to high sedimentation rate up to ~1 m/year, mud-capped dredge pits (MCDP) are often considered natural laboratories for studying sedimentary processes, slope stability and the impacts of dredging activities on marine environments. Although many studies have been performed on the Louisiana shelf, there is a lack of high spatial resolution research covering the eastern, central and western Louisiana shelf to comprehensively investigate sediment infilling. Eighteen vibracores were collected from the Peveto Channel dredge pit (PC), Raccoon Island dredge pit (RI) and Sandy Point dredge pit (SP), and more than 1300 samples were analyzed to study the spatial variation in …

Recovery Of Benthic Macroinfauna Six Years After Dredging, David Samuel Johnson, Manisha Pant, Andrew Nemeth, Emelie Foster, Adam Gartelman, Stacy Calhoun-Grosch, Kehui Xu, Brian J. Roberts, James Nelson

Faculty Publications

In soft-sediment communities, benthic macroinfauna can recover quickly (sometimes < 1 year) from dredging. However, it’s unclear how recovery is influenced if dredging dramatically changes abiotic factors. We determined recovery of benthic macroinfauna from dredging on a sandy shoal (Ship Shoal, Louisiana, USA), six years after dredging. Because the dredged area infilled with mud instead of sand and changed local abiotic conditions, we hypothesized that the benthic community had not recovered. Our results support this hypothesis. Although the dredged community had, on average, 160% greater density and 170% greater macroinfaunal biomass than the reference community, these increases were driven by the opportunistic and seasonally variable dwarf clam, Mulinia lateralis. Community structure differed starkly between the regions. Haustoriid amphipods and amphioxus (Branchiostoma floridae) dominated the reference community. However, these taxa were largely absent from the dredged community, which was dominated by opportunistic species such as M. lateralis and the fringe-gilled mudworm Paraprionospio pinnata. Community differences were largely driven by bottom-water dissolved oxygen and sediment grain size. Our results suggest that the dredged areas are still in a transitional phase of recovery after six years – dominated by opportunistic, hypoxia-tolerant species. Our results suggest that abiotic factors such as grain size and hypoxia are important in structuring benthic communities and their recovery rates. Thus, to achieve faster recovery of the biological community, dredging should be conducted in a way that minimizes long-term impacts on abiotic conditions.

A Test Of The Abundant-Center Hypothesis For Stream Fishes, Matthew L.W. Zink, Brandon K. Peoples, Julian D. Olden, Lily M. Thompson, William K. Annis, Stephen R. Midway

Faculty Publications

The abundant-center hypothesis (ACH) provides a conceptual model for predicting range-wide distributions of species abundance, suggesting that abundance peaks in the center of the geographic range and declines towards range edges. Empirical studies testing the ACH and its subsequent derivations predominantly occurred in terrestrial systems and reported mixed support. Moreover, none of these models consider the possibility of multiple geographic areas of elevated abundance (which we refer to as ‘abundant cores'). Naturally dispersal limited species may exhibit multiple abundant cores, requiring refinement of the ACH. We used fish species abundances from 29 206 community monitoring surveys and weighted geospatial kernel …

Dsm-5 Based Algorithms For The Autism Diagnostic Interview-Revised For Children Ages 4–17 Years, Linnea A. Lampinen, Shuting Zheng, Lindsay Olson, Vanessa H. Bal, Audrey E. Thurm, Amy N. Esler, Stephen M. Kanne, So Hyun Kim, Catherine Lord, China Pareneau, Kerri P. Nowell, Jane E. Roberts, Nicole Takahashi, Somer L. Bishop

Faculty Publications

Background: The Autism Diagnostic Interview, Revised (ADI-R) is a caregiver interview that is widely used as part ofthe diagnostic assessment for Autism Spectrum Disorder (ASD). Few large-scale studies have reported the sensitivityand specificity of the ADI-R algorithms, which are based on DSM-IV Autistic Disorder criteria. Kim and Lord (Journalof Autism and Developmental Disorders, 2012, 42, 82) developed revised DSM-5-based toddler algorithms, which areonly applicable to children under 4 years. The current study developed DSM-5-based algorithms for children ages4–17 years and examined their performance compared to clinical diagnosis and to the original DSM-IV-basedalgorithms. Methods: Participants included 2,905 cases (2,144 ASD, 761 …

The Efficacy And Usability Of Motivational Interviewing Just-In-Time Trainings For Youth Mentors, Mackenzie J. Hart, Samuel Mcquillin, Aidyn Iachini, Daniel K. Cooper, Mark D. Weist

Faculty Publications

Using youth mentors to deliver evidence-based psychosocial services has been proposed to increase the reach of treatments, in part given the affordability and ubiquity of mentors in youth settings. Further, tests of mentor-delivered motivational interviewing (MI) have shown increases in youth mentees' academic performance and wellbeing. Yet, traditional methods of training mentors to use MI can be costly and time-consuming. Previous work has suggested the value of asynchronous, brief, just-in-time training (JITT) to help offset these challenges; however, MI JITT for mentors has not yet been formally evaluated. As such, here, we report on a preliminary study of MI JITT …