Digital Commons Network^™

Examining The Impact Of Young Children’S Motor Development On Inhibitory Control And Social Skills, Ali S. Brian Ph.D., Shea E. Ferguson, Angie Starrett Ph.D., Emily Kallis, J. Ross Ramsey

Faculty Publications

Background/Objectives: Understanding how motor and cognitive development may contribute to prosocial behavior is essential for supporting whole-child development in early learning settings. Early childhood education settings are well-positioned to address these concerns through integrated approaches that support the whole child. Research exploring the mechanisms that link developmental domains remains limited, especially regarding how motor development may influence social outcomes through cognitive processes such as inhibitory control. Thus, the purpose of this study was to examine whether gains in motor skills were associated with prosocial behaviors indirectly through improvements in inhibitory control. Methods: Preschoolers (N = 238; Mage = 66.61, SD …

Switching Speed Limits In Electrically Driven Vo2 Structural Mott–Peierls Transition, Henry Navarro, Ivan K. Schuller, Yimei Zhu

Faculty Publications

No abstract provided.

Challenges, Stressors, And Resilience Resources Experienced By Older Black Women In Rural South Carolina Throughout The Covid-19 Pandemic, Arielle N'Diaye, Camryn Garrett, Sarah Wilcox Phd, Bankole Olatosi Ph.D., Xiaoming Li Ph.D., Shan Qiao Ph.D.

Faculty Publications

Background

Resilience has been established as a protective factor against mental health challenges (e.g., anxiety, depression). From an intersectional perspective, the stressors experienced by Black women living in rural communities are likely to have been exacerbated during the COVID-19 pandemic. This study aims to identify the challenges and stressors experienced and the resilience resources available to and relied upon by rural, Black women, during the pandemic.

Methods

Individual, in-depth, structured interviews (n = 24) were conducted among Black women living in rural South Carolina, recruited by local community health workers, from January to April of 2024. All interviews were recorded, …

Supplementary Table 3. Colostrum Fatty Acid Yield (G) For Cows Supplemented –40 Meq/Kg Dm Dcad Diet +/- 23 G/D Nicotinic Acid Or –80 Meq/Kg Dm Dcad Diet +/- 23 G/D Nicotinic Acid For 28 D Prepartum, Tess Stahl, J. Kraft, Sarah Allen, Peter S. Erickson

Faculty Publications

No abstract provided.

Supplementary Table 1. Fatty Acid Methyl Esters (% Of Colostrum) For Cows Supplemented –40 Meq/Kg Dm Dcad Diet +/- 23 G/D Nicotinic Acid Or –80 Meq/Kg Dm Dcad Diet +/- 23 G/D Nicotinic Acid For 28 D Prepartum, Tess Stahl, J. Kraft, Sarah Allen, Peter S. Erickson

Faculty Publications

No abstract provided.

A New Highly Oxygen-Deficient And Cubic Pr3Zro8-Δ For Intermediate-Temperature Thermochemical Production Of Oxygen And Hydrogen, Jiaxin Lu, Yongliang Zhang, Luhong Chen, Yan Chen, Ke An, Yasser Shoukry, Xinfang Jin, Zhi-Hao Wang, Sai Mu, Kevin Huang

Faculty Publications

Two-step thermochemical cycles offer a clean route for hydrogen and oxygen production but are typically limited to high temperatures exceeding 1500 °C. Lowering operating temperatures would enable the use of alternative heat sources such as industrial waste heat. Here, we report Pr₃ZrO₈ as a new enabling material for efficient intermediate-temperature redox cycling, with thermal reduction at 900 °C in argon and steam oxidation at 400 °C. Pr₃ZrO₈ adopts a face-centered cubic structure similar to CeO₂ but exhibits significantly greater oxygen deficiency, achieving average oxygen and hydrogen fluxes of 331.7 and 70.3 µmol·g-1, respectively, …

Supplementary Table 2. Colostrum Fatty Acid Content (%) For Cows Supplemented –40 Meq/Kg Dm Dcad Diet +/- 23 G/D Nicotinic Acid Or –80 Meq/Kg Dm Dcad Diet +/- 23 G/D Nicotinic Acid For 28 D Prepartum, Tess Stahl, J. Kraft, Sarah Allen, Peter S. Erickson

Faculty Publications

No abstract provided.

Trends In Self-Reported Responses To Nutrition Facts Labels Before And After Nutrition Labeling Policy Implementation: A Comparison Of Adults In The United States And Mexico, Jim Thrasher Ph.D., Ma, Ms, Victor Vilalobos, Dai Fang, Alejandra Jáuregui, Alejandra Contreras-Manzano, Rachel Davis Ph.D., Lana Vanderlee, Christine M. White, Rachel B. Acton, James W. Hardin, Edward A. Frongillo Jr. Ph.D., Simón Barquera, David Hammond

Faculty Publications

Background

Objectives

Methods

Exploring The Links Between Bullying Victimization And Suicidal Ideation For Secondary Students With Disabilities: The Mediating Role Of Mental Health, Christopher M. Claude, Nicholas A. Gage, Araba M. Amissah, Chad Rose Ph.D., Dennis A. Kramer

Faculty Publications

Bullying victimization is a well-established risk factor for adverse mental health outcomes, including suicidal ideation, yet less is known about the mechanisms linking these experiences for students with disabilities. Using data from the Georgia Student Health Survey (N = 356,292 high school students across 496 schools), this study examined differences in bullying victimization, mental health difficulties, and suicidal ideation by Individualized Education Program (IEP) status and tested direct, mediated, and moderated pathways among these constructs. Students with IEPs reported higher levels of bullying victimization, mental health difficulties, and suicidal ideation compared to peers without IEPs, although effect sizes were …

Craft Meets Code: Digital Pathways For Fine Press Collections, Nicole Lewis, Brooke Farnsworth

Faculty Publications

Fine press books embody a unique blend of artistry and craftsmanship, yet their rich material and bibliographic details often remain locked in specialized catalogs or physical archives. This project explores how integrating fine press information into Wikidata—a global, linked open data platform—can preserve and amplify the cultural significance of these works in a digital context. Using the BYU Library’s fine press holdings, we’re modeling presses, printers, and editions within Wikidata’s semantic framework, creating opportunities for discovery, visualization, and computational analysis that respect the material heritage of the book arts.

The presentation will highlight:

•        Utilizing library holdings to compile a …

Digital Twin Enabled Robot Collision Detection Using Time Series Forecasting, Fadi El Kalach, Mojaba A. Farahani, Philip Samaha, Thorsten Wuest, Ramy Harik

Faculty Publications

The advent of Industry 4.0 has reshaped modern manufacturing, driven by breakthroughs in cutting-edge technologies. A key example is the widespread deployment of sensors, which capture and transmit large volumes of operational data. This data surge has fueled the development of advanced Artificial Intelligence (AI) applications, enhancing manufacturing intelligence and efficiency. A key enabler of such intelligence is Time-Series Forecasting (TSF), which leverages historical data to predict future trends and events, thereby providing actionable insights for proactive decision-making. In parallel, Digital Twin (DT) technology has gained significant prominence due to its capacity for bidirectional communication with physical manufacturing systems, enabling …

Approaching Lower Bound Of Lattice Thermal Conductivity By Simultaneously Suppressing Diagonal And Off-Diagonal Phonon Contributions, Alejandro David Rodriguez, Riccardo Rurali, Changpeng Lin, Joshua Ojih, Mohammed Al-Fahdi, G. Jeffrey Snyder, Ming Hu

Faculty Publications

Pushing the intrinsic lattice thermal conductivity (LTC) in crystalline materials to lower bounds is crucial for fundamental materials research towards emerging technologies including thermoelectric energy conversion and thermal management in both hypersonic aircraft and next-generation turbine systems. However, in the ultralow LTC regime ( <  1 Wm-1K-1), the competition between propagative (particle-like) and coherent phonons—arising from off-diagonal components—poses a significant challenge in further reducing LTC. We perform quantitative analysis of 4700 materials using density functional theory (DFT), spanning all crystallographic groups, to elucidate the interplay between diagonal and off-diagonal phonon contributions. We identify a critical balance between these transport mechanisms, where intermediate phonon lifetimes ( ~ 1 ps) and slow group velocities ( ~ 1 km/s) collectively suppress both contributions, enabling ultralow LTC. Results from a large dataset of 31,058 structures by machine learning models strongly resemble the DFT trends of two-channel phonon transport. Leveraging these models, we screen 25,882 additional materials and confirm their properties with DFT, identifying 12 candidates with ultralow room-temperature LTC—including a record-low value of 0.132 Wm-1K-1. Our large-scale analysis reveals fundamental insights into dual-channel phonon transport, enabling rational design of ultralow LTC materials and accelerating the discovery of advanced phononic crystals with tailored thermal transport properties.

Uranium Chemical Compound Classification Using Sub-Images And Statistical Machine Learning For Nuclear Forensics, Lee C. Lambert, Brett J. Borghetti, Abigail A. Bickley

Faculty Publications

Uranium particle analysis from Scanning Electron Microscope (SEM) imagery is a crucial tool in nuclear forensics. The particle morphology lexicon proposed by Tamasi et al. in J Radioanal Nucl Chem 307, 1611–1619 (2016) follows a standardized, manual identification process to identify particle morphology features. The present work seeks to mirror this methodology using computer feature selection from the scikit-image Python library rather than human classification. Using a random forest classifier, a 56% overall uranium true positive classification accuracy (a 39.6% balanced classification accuracy) was achieved on a test set outperforming a naïve (chance) model by 48%. The methodology introduced splits …

Analysis Of The Potential Of Urban Surfaces For Energy Use By Applying Solar Energy Or Green Roofs, Kristin Dietrich, Jose Ambrosini, Fabio Capra-Ribeiro, Juan Raul Massipe Hernandez, Alberto Tama Franco, Fernando Mayor-Vitoria

Faculty Publications

Renewable energy is rapidly increasing in importance in the energy mix in many countries worlwide. They are a key part of the energy transition to more sustainable energy systems. Green roofs are multi-layered systems covered with plants, grasses or turf that are placed on terraces and roofs of different types. Energy savings and reduced urban heat-island effects are among the most notable benefits of green roofs. Traditionally, green roofs and photovoltaic (PV) or solar-thermal installations have been competing systems, but several studies and actual installations have shown that synergistic effects predominate. For example, vegetation has a cooling effect on green …

A Transcriptional Program Associated With Neurotransmission In The Living Human Brain, Alexander W. Charney, Lora E. Liharska, Eric Vornholt, Alissa Valentine, Anina Lund, Alice Hashemi, Ryan C. Thompson, Terry Lohrenz, Jessica S. Johnson, Nicole Bussola, Esther Cheng, You Jeong Park, Salman Qasim, Alisha Aristel, Lillian Wilkins, Kimia Ziafat, Hannah Silk, Lisa M. Linares, Brendan Sullivan, Claudia Feng, Beniamino Hadj-Amar Ph.D.

Faculty Publications

At the foundation of neurotransmission, and by extension at the foundation of brain function, are coordinated programs of gene expression involving many thousands of genes. These programs are poorly defined in humans because most modern studies that characterize human brain gene expression use tissue obtained in the postmortem state when neurotransmission and brain function have ceased. Here, to advance knowledge of the gene expression programs at the foundation of neurotransmission in the human brain, gene expression was characterized in 130 prefrontal cortex (PFC) samples obtained from participants of the Living Brain Project (LBP) during neurosurgical procedures in conjunction with intracranial …

Survival On Image Regression With Application To Partially Functional Distributional Representation Of Physical Activity, Rahul Ghosal, Sunwoo Emma Cho, Marcos Matabuena

Faculty Publications

Technological advancements in wearable devices and medical imaging often lead to high-dimensional physiological signals in the form of images or surfaces. To address these data structures, we develop a novel survival on image regression model with a specific focus on partially functional distributional representation of wearable data. The existing approaches for functional data and survival outcomes have been primarily developed for uni-dimensional functional predictors. Drawing on recent developments in distributional data analysis, we model temporally varying distributional patterns of physical activity (PA) as a partially functional distributional predictor within a semiparametric Cox model framework. We use tensor product splines to …

Environmental Chemicals And Maternal Depression During And After Pregnancy: A Scoping Review, Pengfei Guo, Yunyue Shi, Cindy Nguyen, Haoran Zhuo, Tormod Rogne, Zeyan Liew

Faculty Publications

Purpose of Review

There is increasing evidence that several environmental exposures may pose a risk for depression, including maternal depression. We conducted a scoping review of epidemiological evidence regarding maternal exposure to environmental chemicals and perinatal depression.

Recent Findings

We searched PubMed, Embase, Web of Science, Dimensions, and Scopus, and summarized the findings from 27 articles that examined environmental chemical exposures and maternal depression. Studies of ambient air pollutants (N = 11) showed exposure to NO₂ and PM10 to be most consistently associated with antenatal or postnatal depression. Studies of endocrine-disrupting chemicals, including phthalates (n = 6), …

Evaluation Of The Consistency Of A Speech Verification System With Human Raters In Early Literacy Screening Assessments, Yaacov Petscher, Jennifer O'Sullivan, Hugh W. Catts, Ashley Edwards, Lisa Fitton Ph.D., Ccc-Slp

Faculty Publications

This study investigates the use of a speech verification system (SVS) technology, a form of automatic speech recognition (ASR), in the assessment of children's reading skills. Despite the growing integration of ASR systems in educational assessment, significant challenges persist, particularly due to the acoustic, pronunciation and dialectal variability inherent in children's speech. Our research evaluated the consistency between human rater (HR) and speech verification system (SVS) scores produced from SoapBox Labs across three linguistic tasks—phoneme blending, expressive vocabulary and word reading. Results reveal variability in agreement rates, with SVS showing lower consistency with human raters in phonologically complex tasks like …

Evaluation Of The Consistency Of A Speech Verification System With Human Raters In Early Literacy Screening Assessments, Yaacov Petscher, Jennifer O'Sullivan, Hugh W. Catts, Ashley Edwards, Lisa Fitton Ph.D., Ccc-Slp

Faculty Publications

This study investigates the use of a speech verification system (SVS) technology, a form of automatic speech recognition (ASR), in the assessment of children's reading skills. Despite the growing integration of ASR systems in educational assessment, significant challenges persist, particularly due to the acoustic, pronunciation and dialectal variability inherent in children's speech. Our research evaluated the consistency between human rater (HR) and speech verification system (SVS) scores produced from SoapBox Labs across three linguistic tasks—phoneme blending, expressive vocabulary and word reading. Results reveal variability in agreement rates, with SVS showing lower consistency with human raters in phonologically complex tasks like …

Limit Theorems For Andrews’ Restricted Overpartitions, Tapas Bhowmik, Alex Cao, Jack Frew, John Lehman, Wei-Lun Tsai

Faculty Publications

The study of overpartitions in recent years has been used to great effect in various fields, including hypergeometric series, q-series identities, and mathematical physics. We investigate the limiting distributions of the number of parts in a family of overpartitions of n,  introduced by Andrews, where parts are counted with two different weights. Using Andrews’ identities and the saddle-point method, we establish two central limit theorems (CLTs) for the number of parts as n → ∞, corresponding to these weightings. We also derive explicit formulas for the mean and variance in each case.

Assessing Working Musicians’ Perspectives Of Need And Barriers Regarding Lay Harm Reduction Efforts For Substance-Related Harm In South Carolina, Sarah Grace Frary

Faculty Publications

Background

Harm Reduction (HR) approaches applied to substance use aim to decrease the toxic consequences of overdose. The addition of xylazine and benzodiazepines to fentanyl, the primary opioid in the US drug supply, increases the likelihood of overdose. Likewise, adding fentanyl to other popular substances, such as cocaine and methamphetamine, has further driven the exponential increase in opioid and stimulant overdoses. Engaging lay community members in HR efforts may help to combat the overdose crisis. Substance use is common in live music settings, and working musicians may be uniquely positioned within “the scene” – individuals who populate specific cultural niches …

International Society Of Sports Nutrition Position Stand: Effects Of Dietary Antioxidants On Exercise And Sports Performance, Drew E. Gonzalez, Broderick L. Dickerson, Brandon M. Roberts, Jennifer A. Kurtz, Adam M. Gonzalez, Matthew J. Mcallister, Jeffrey L. Heileson, Richard J. Bloomer, Shawn M. Arent, Darren G. Candow, Jeffrey R. Stout, Karen A. Hecht, Bill Campbell, Chad M. Kerksick, Douglas Kalman, Jose Antoino, Richard B. Kreider

Faculty Publications

Following a comprehensive review, the International Society of Sports Nutrition (ISSN) has developed an official position on the role of dietary antioxidants in exercise and sport. Antioxidants play a complex, context-dependent role in vivo; they can facilitate recovery from exercise but may also hinder training adaptations when consumed at supraphysiological doses. While endogenous antioxidant systems can effectively maintain redox balance, dietary sources, particularly whole foods, can help mitigate excessive oxidative stress following intense/heavy training or inadequate recovery. The influence of dietary antioxidants depend on timing, dosage, type, and individual factors. The ISSN’s official position encompasses the following: (1) Redox balance …

Vegetation Enhances Nitrogen Removal In Stormwater Ponds In Coastal South Carolina, Darcy Perin, Annie Bourbonnais

Faculty Publications

Coastal development and the increase in impervious surfaces lead to greater stormwater volumes, a key contributor to nonpoint source pollution. Stormwater ponds are generally highly efficient in eliminating particle-bound nutrients, such as phosphorus, but are often much less effective at removing dissolved nutrients, like nitrogen. Excess inorganic nitrogen can lead to coastal eutrophication, harmful cyanobacterial blooms, and coastal hypoxia. However, inorganic nitrogen can be removed from the environment through several different microbially facilitated processes. This research aims to estimate the rates of nitrogen removal (i.e., by denitrification), the net N₂ fluxes, and internal recycling (DNRA) across the sediment-water interface …

On-Orbit Correction Of Ecostress Radiances By Comparison With Iasi Hyperspectral Sounders, David S. Wethey, Sarah A. Woodin, Jorge Vazquez-Cuervo

Faculty Publications

Radiance data from ECOSTRESS (ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station), which is the first of a planned virtual constellation of wide-swath ultra-high-resolution thermal satellites, were used to test the concept of on-orbit cross-calibration based on the Global Space-based Inter-Calibration System (GSICS) with the Infrared Atmospheric Sounding Interferometer (IASI) as the reference. Validation of the results was performed using comparisons of corrected ECOSTRESS radiances with strictly independent data from IASI and the Cross-Track Infrared Sounder (CrIS) and with RTTOV radiative transfer simulations of clear-sky observations in iQuam (the NOAA in situ sea surface temperature quality monitor database). ECOSTRESS has …

Transformative Technology And Shortening The Statute Of Limitations Applicable To Taxpayers, Jay A. Soled, Leslie Book

Faculty Publications

When it comes to submitting tax returns and paying taxes, most taxpayers understand the nature of their civic duties and do so dutifully, if not willingly. However, many taxpayers fail to grasp why the IRS has such an elongated time period—namely, three years— to audit their tax returns and propose an assessment. Indeed, when the IRS exercises its oversight authority, records may no longer be available, and memories may be dulled.

Since the original institution of the three-year tax assessment limitations period nearly a century ago, tremendous technological strides have been made. Indeed, over ninety percent of income tax returns …

Artemisinin Partial Resistance Mutations In Zanzibar And Tanzania Suggest Regional Spread And African Origins, 2023, Sean V. Connelly, Julia G. Muller, Mohamed Ali, Billy E. Ngasala, Wahida Hassan, Bakari Mohamed, Kyaw L. Thwai, Jacob M. Sadler, Jacob Marglous, Abebe A. Fola, Abdallah Zacharia, Shija J. Shija, Safia Mohammed, Dominick C. Msolo, Hamza Said, Editruda E. Peter, Melic Odas, Isaack J. Rutha, Mwanaidi Nwange, Karamoko Naire, Shazia Ruybal-Pesántez, Robert Verity, Rebecca Crudale, Varun Goel, Barbara B. Choloi, Anders Björkman, Jeffrey A. Bailey, Jessica T. Lin, Jonathan J. Juliano

Faculty Publications

Artemisinin partial resistance, driven by Plasmodium falciparum K13 mutations, threatens malaria control. Zanzibar is vulnerable to artemisinin partial resistance spread but lacks recent molecular surveillance. We sequenced samples in Zanzibar and mainland Tanzania collected from 2022 to 2024. K13 mutations were found in 2 of 1440 participants (P441L, A675V) in Zanzibar and 6 of 3762 (R561H, P441L) in mainland Tanzania. Based on whole genome sequencing data, K13 mutations appear to be of African origin with regional spread. Frequent parasite importation appears to maintain partner drug mutation frequencies similar to the mainland, where artemether-lumefantrine selects for mutations favoring artesunate-amodiaquine sensitivity. Ongoing …

Ichps Special Issue Introduction, Donna Coffman, Recai M. Yucel

Faculty Publications

No abstract provided.

Integrating Future Factory-To-Factory (F2f) Manufacturing Through System Of Systems Engineering (Sose): A Framework For Capability Beyond Constituent Systems, Polinpapilinho F. Katina, Hengtao Tang Ph.D., Anouar Hallioui

Faculty Publications

System of Systems Engineering (SoSE) is an emerging discipline focused on the design, integration, and evolution of metasystems—composed of multiple autonomous yet interdependent systems. These systems of systems (SoS) offer capabilities that exceed those of any individual constituent systems by enabling synergistic coordination, interoperability, and dynamic adaptation across diverse operational contexts. This study pursued three primary objectives: (i) to examine the role of integration in enabling emergent capabilities beyond those of individual systems, (ii) to explore SoSE as a framework for orchestrating Future Factory-to-Factory (F2F) Manufacturing, and (iii) to assess the implications of SoSE to address volatile, uncertain, complex, and …

Intravascular Ultrasound Is More Accurate Than Angiography In Arteriovenous Vascular Access Lesions, James W. Decker, Dima Banihani, Curtis Honshideler, Saran Lotfollahzadeh, David Jasen Wu Wong, Alik Farber, Jeffrey J. Siracuse, Najia Idrees, Laura Dember, Mohammad Bader, Suvranu Ganguli, Vijaya Kolachalama, Tarek Shazly

Faculty Publications

Background:

Conventional angiography remains the standard diagnostic modality for arteriovenous (AV) access dysfunction in hemodialysis patients, but its geometric accuracy is limited. Intravascular ultrasound (IVUS) offers superior lesion detection, yet its absolute measurement accuracy remains uncertain. Using three-dimensional (3D) printed vascular conduits as reference standards, we assessed the accuracy of IVUS versus angiography, hypothesizing that complex conduit geometry, quantified by Gaussian curvature, would exacerbate angiographic error.

Methods

Clinically relevant AV access geometries were modeled with computer-aided design (CAD) and fabricated using 3D printing. Lumen diameters were measured by contrast angiography and IVUS and compared with CAD dimensions. Conduit geometry was …

Us Federal Budgets And Federal Employee Job Satisfaction, Nathan Favero, Carla Flink, Tingli Qu

Faculty Publications

Researchers have long studied how organizational budgets relate to performance, but how do employees themselves experience the effects of budgetary decisions? Given widespread attention to political dysfunction in US federal budgeting, conventional wisdom holds that employees are negatively affected by budgetary uncertainty (volatility, delays, and stop-gap measures). We test how budget size and uncertainty are associated with US federal employee attitudes using survey and archival data from 2005 to 2020. Results provide some evidence that employee job satisfaction improves with enhanced funds, but there is little to no support for the notion that budgetary uncertainty influences federal employees' job satisfaction.