Digital Commons Network^™

New Avenues For |Δb=2| Processes Beyond Neutron-Antineutron Oscillations, Arnau Basi Beneito, Svjetlana Fajfer, Alexey A. Petrov

Faculty Publications

We explore baryon-number-violating (|∆B| = 2) processes beyond the well-known neutron-antineutron (n-n̄) oscillations, focusing on the Λ-Λ̄ system. The presence of a strange quark in the Λ baryon introduces a new set of six-quark operators roughly of the form (uds)², which are different from the (udd)² operators responsible for n-n̄ oscillations. Using the Standard Model Effective Field Theory (SMEFT), we classify all dimension-9 operators that cause |∆B| = 2  transitions and study their UV completions mediated by exotic scalar fields with trilinear interactions. We demonstrate that …

Efficient Energy-Stable Discontinuous Galerkin Schemefor The Non-Isothermal Cahn–Hilliard–Navier–Stokestwo-Phase Fluid Flow System, Guang-An Zou, Meiting Wang, Kejia Pan, Yin Yang, Xiaofeng Yang

Faculty Publications

In this article, we propose a novel numerical framework for the non-isothermal Cahn–Hilliard–Navier–Stokes two-phase flow system, which couples the incompressible Navier–Stokes equations, the Cahn–Hilliard phase-field equation, and the heat transport equation to capture temperature-dependent two-phase flow dynamics. The pro-posed scheme achieves three major advances: (i) unconditional energy stability through a combined scalar auxiliary variable (SAV) and zero-energy-contribution (ZEC) approach, (ii) linearity and full decoupling of all variables while using a second-order temporal discretization, and (iii) efficient implementation via discontinuous Galerkin (DG) spa-tial discretization together with a second-order projection method for the Navier–Stokes equations. We rigorously prove the unconditional energy stability …

Ulk4 And Cdkn2a Polymorphisms Influence The Risk Of Developing Monoclonal Gammopathy Of Undetermined Significance, José Manuuel Sánchez-Maldonado, Angelica Macauda, Antonio José Cabrera-Serrano, Hauke Thomsen, Murat Güler, Rob Ter Horst, Bethany Van Guelpen, Pavel Vodicka, Stefano Landi, Subhayan Chattopadhyay, Pelin Ünal, Lucía Ruiz-Durán, Delphine Casabonne, Hartmut Goldschmidt, Istemi Serin, María Carretero-Fernández, Elena Cabezudo, Fernando Reyes-Zurita, Alyssa I. Clay-Gilmour, Et. Al.

Faculty Publications

Monoclonal gammopathy of undetermined significance (MGUS) is a necessary precursor condition to multiple myeloma (MM). Given the role of autophagy in modulating MM risk, we investigated whether genetic variation in autophagy-related genes influences susceptibility to MGUS. We analyzed the association of 34,042 common autophagy-related single nucleotide polymorphisms (SNPs) with MGUS across six independent cohorts, five from Europe and one from North America, comprising 2317 MGUS cases and 282,358 controls. We also assessed their impact on immune parameters, including absolute counts of 91 blood-derived immune cell subsets and 103 circulating immunological proteins. Meta-analysis revealed a genome-wide significant association between the ULK4 …

A Collostructional Approach To The Concealed Passive Construction In English, Rok Sim, Jungsoo Kim

Faculty Publications

This study investigates the English concealed passive construction (CPC), as in the car needs washing, using authentic corpus data. While previous research has explored certain aspects of the CPC, little attention has been given to strongly associated matrix verbs (or verb types) and interactions between matrix verbs (or verb types) and other elements of the construction. To address these issues, we apply three types of collostructional analysis, and our findings indicate that no single, straightforward pattern emerges with respect to real-life grammatical properties of the CPC. We then show that the well-known distinction between raising and control constructions, formalized …

Rural–Urban Differences In Cognitive Outcomes Among Older Adults: The Roles Of Falls And Depressive Symptoms, Ayse Malatyali, Tom Cidav, Lisa A.K. Wiese, Jian Zou, Monique J. Brown Ph.D., Mph, Junfeng Ma, Breno S. Diniz, Ladda Thiamwong

Faculty Publications

Background: Older adults with Alzheimer’s Disease and Related Dementias (ADRD) experience a higher risk of falls. However, research lacks evidence on the effect of fall exposure on cognitive impairment and dementia. We investigated the association of falls and depressive symptoms with cognitive impairment and dementia in a nationally representative sample. Methods: We analyzed data from 6221 participants (age ≥ 65) in the Health and Retirement Study (HRS) from the 2018–2020 waves, using Multinomial logistic regression models. Measures included the HRS health status questionnaire, HRS cognition scale, and the Center for Epidemiological Studies Depression scale. Results: Prevalence of fall exposure across …

Rural–Urban Differences In Cognitive Outcomes Among Older Adults: The Roles Of Falls And Depressive Symptoms, Ayse Malatyali, Tom Cidav, Lisa A.K. Wiese, Jian Zou, Monique J. Brown Ph.D., Mph, Junfeng Ma, Breno S. Diniz, Ladda Thiamwong

Faculty Publications

Background: Older adults with Alzheimer’s Disease and Related Dementias (ADRD) experience a higher risk of falls. However, research lacks evidence on the effect of fall exposure on cognitive impairment and dementia. We investigated the association of falls and depressive symptoms with cognitive impairment and dementia in a nationally representative sample. Methods: We analyzed data from 6221 participants (age ≥ 65) in the Health and Retirement Study (HRS) from the 2018–2020 waves, using Multinomial logistic regression models. Measures included the HRS health status questionnaire, HRS cognition scale, and the Center for Epidemiological Studies Depression scale. Results: Prevalence of fall exposure across …

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

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 …

Cognitive And Emotional Conflict Control Among Children Affected By Parental Hiv/Aids In China, Huihui Wang, Juan Liu, Danfeng Wen, Wan Zhao, Xiaoming Li Ph.D., Junfeng Zhao

Faculty Publications

Background: Children affected by parental HIV/AIDS constitute a particularly vulnerable population, often facing heightened risks in psychosocial adaptation due to family disruption, social stigma, and resource deprivation. However, the characteristics of their executive functions, particularly the core component of conflict monitoring, remain unclear.

Methods: The present study compared the performance of children affected by parental HIV/AIDS (n=32) to a control group (n=32) on a cognitive conflict and emotional conflict face-word Stroop task.

Results: The results of the cognitive Stroop task demonstrated that both groups showed better performance in congruent stimuli compared to incongruent stimuli (86.20% vs.67.30%; 568.43ms vs.586.04ms). In the …

Impediments To Transforming The Healthcare Delivery System: Shifting The Paradigm From Provider Centric To Patient Centric, Elizabeth A. Regan, Manasa Devi Chinta

Faculty Publications

Introduction: 

Stated aims for digital healthcare transformation frequently cite goals for better coordinated patient-centric systems. However, despite advances in medical science, digital technologies, health policies, and billions of dollars invested over the past 25 years, most healthcare providers are far from fully realizing the demonstrated benefits of today's digital technologies for improving patient care. Sharing information across healthcare systems remains challenging. Problems with fragmentation, quality, inequities, and rising costs of care delivery persist. A recent study of 1,026 U.S. hospital systems found that only 15.8 percent achieved a digital maturity level needed to provide digitally enabled healthcare services to better …

Korean Words In The Oed: Race, Gender, And The Modern English Speaker, Elaine W. Chun

Faculty Publications

This article examines representations of the Modern English Speaker of Korean (MESK) in the Oxford English Dictionary (OED), as lexicographers listened to and documented the language of this figure over the past century. I show that, until the early twenty-first century, the most salient type of MESK was the Koreanist, a white, masculine expert on and translator of Korean, the language of a racial other. By contrast, more recent Korean entries, influenced by the global spread of hallyu, have invoked the Korea Fan, a figure that potentially unsettles longstanding ideologies of language, race, and gender. I …

Hybrid Cnn–Gru-Based Demand–Supply Forecasting To Enhance Sustainability In Renewable-Integrated Smart Grids, Süleyman Emre Eyimaya, Necmi Altin

Faculty Publications

The rapid integration of renewable energy sources in smart grids has introduced significant uncertainty in both power generation and consumption patterns, posing challenges to environmental, economic, and operational sustainability. Accurate short-term forecasting of energy demand and supply is essential for achieving optimal scheduling, grid stability, and resilient operation in renewable-integrated power systems. This study proposes a hybrid deep learning framework combining Convolutional Neural Networks (CNN) and Gated Recurrent Units (GRU) for intelligent joint demand–supply forecasting in smart grids. The model was developed and implemented in MATLAB using real-world datasets comprising electricity consumption, photovoltaic (PV) generation, temperature, and irradiance variables. Comparative …

Impact Of Suaahara, An At-Scale Multisectoral Nutrition Programme, On Health Workers’ Maternal And Child Health, And Nutrition Knowledge And Skills In Nepal, Deependra K. Thapa, Edward A. Frongillo Jr. Ph.D., Shalini Suresh, Ramesh P. Adhikari, Bhim Pun, Karuna L. Shakya, Raj Mandal, Subir K. Kole, Kenda Cunningham

Faculty Publications

Suaahara, an at-scale multisectoral nutrition programme in Nepal, aimed to advance knowledge and skills of frontline health workers to improve the quality of nutrition and health services at health facility and community levels. This study assessed the impact of Suaahara interventions on knowledge and skills of health facility workers and Female Community Health Volunteers (FCHVs). The study used a quasi-experimental design in which four Suaahara intervention districts were compared with pair-matched comparison districts. One health facility worker and three FCHVs from each survey cluster were included. Baseline survey consisted of 93 health facility workers (2015) and 118 FCHVs (2012), and …

Exposure To Suaahara Ii Interventions And Knowledge Of Maternal And Child Nutrition And Health Among Mothers, Grandmothers, And Male Household Heads: An Association Study In Nepal, Shalini Suresh, Edward A. Frongillo Jr. Ph.D., Deependra K. Thapa, Ramesh P. Adhikari, Subir K. Kole, Femila Sapkota, Manisha Laxmi Shrestha, Kristine Garn, Pooja Rana Pandey, Indra Kshetri, Dipak Sharma, Kenda Cunningham

Faculty Publications

Suaahara was a USAID-funded multi-sectoral integrated nutrition program that aimed to improve the nutritional status of children under the age of five and their mothers in Nepal. The program included multiple interventions targeted to mothers and children, as well as other caregivers. Caregiver knowledge of optimal nutrition and health practices among household members is an important driver of healthy child and maternal nutrition behaviors. This study investigates the associations between exposure to Suaahara interventions and knowledge of maternal and child nutrition and health practices among mothers (n =, grandmothers (n =, and male household heads (n =. Linear and logistic …

Demography And Dispersal Influence The Relationship Between Habitat Suitability And Population Density, Cleber Ten Caten, Tad Dallas

Faculty Publications

A central goal of ecology is to understand spatial patterns of species densities. Habitat suitability estimates from species distribution models (SDMs) could be used to represent species density and overcome the scarcity of density data. However, there is mixed evidence that habitat suitability is a reliable descriptor of density, and it is suggested that local dynamics affect the relationship between habitat suitability and density. We simulated population dynamics for 200 virtual species considering different combinations of factors (demographic stochasticity, dispersal, and intraspecific competition) that affect population sizes and SDMs were trained using different sets of environmental predictors to evaluate when …

Levers Of Default: Can The President Unilaterally Alter The Terms Of The National Debt?, Lev E. Breydo, Nathan B. Oman

Faculty Publications

The inviolability of America’s $30 trillion debt is a cornerstone of global markets and the U.S. economy. This Essay identifies a critical loophole: the President’s underappreciated power to dramatically change its legal structure—and argues that Congress should act to prevent a potential catastrophe.

The Essay details, for the first time in the literature, the arcane legal architecture underpinning America’s sovereign borrowings. Our analysis finds that although the President lacks authority to change the terms of outstanding debt retroactively, the President can accomplish similar goals by issuing new debt instruments that embed unprecedented powers. In surprisingly short order, a determined Executive …

Transfer Learning Neural Networks For Nuclear Forensic Image Morphology Using Image Splitting Techniques, Niko A. Petrocelli, Lee C. Lambert, Brett J. Borghetti, Abigail A. Bickley

Faculty Publications

Manual morphological analysis of actinide particles from scanning electron microscope (SEM) imagery is a critical component of nuclear forensics but is prone to significant inter-analyst variability. To address this challenge, this work develops and evaluates an automated classification method using deep learning. We introduce a methodology based on partitioning 1906 SEM images, representing 13 classes of uranium compounds, into smaller patches for analysis. Three convolutional neural network (CNN) architectures of increasing complexity were compared: a custom baseline CNN, a simple transfer learning model using ResNet50v1, and a complex model featuring hierarchical feature extraction and a spatial attention mechanism built upon …

Online Age Gating: An Interdisciplinary Evaluation, Noah Apthorpe, Brett Frischmann, Yan Shvartzshnaider

Faculty Publications

The recent surge in regulation seeking to establish age-based governance online is part of a decades-long attempt to establish online zoning. It is driven by active development of technologies to estimate or verify user age based on various characteristics of users, their credentials, or their activities. However, these developments have heightened prevailing concerns that online age gating technology will inevitably be abused and misused to cause a variety of privacy harms and rights infringements. This paper examines this ongoing debate by bridging technical and legal scholarship to explore the current state of online age-based governance. We discuss the current legal …

Using The Misinformation Exposure-Trust Framework For Audience Segmentation: Predicting Covid-19 Vaccine Hesitancy Among U.S., Jing Zeng, Jinxu Li, Nan Yu, Xi Cui, Anli Xiao Ph.D.

Faculty Publications

This study examines whether individuals’ exposure to and trust in COVID-19 vaccine misinformation can be used to segment audiences and explain variations in vaccine hesitancy and health beliefs. Using k-means clustering, a survey of 819 U.S. college students (March–May 2021) identifies four subgroups based on combinations of high or low misinformation exposure and trust: misinformation-shielded (low exposure, low trust), misinformation-vulnerable (low exposure, high trust), misinformation-resistant (high exposure, low trust), and misinformation-accepting (high exposure, high trust). These subgroups differ significantly in political ideology, vaccine hesitancy, and health beliefs. The misinformation-shielded subgroup reports more liberal views, lower hesitancy, and higher perceived efficacy, …

Effect Of Hdl Disk And Ldl Dimer Presence On Lipoprotein Particle Number Determination And Subclassification, Zsuzsanna Kuklenyik, Anna A. Ivanova, Lauren E. Drinkard, David M. Schieltz, Jeffrey I. Jones, Kevin Bierbaum, Christopher A. Toth, Michael S. Gardner, Bryan A. Parks, Michael Andrews, Jennifer D. Kusovschi, Jack A. Sultan, Antony Lehtikoski, Jon C. Rees, Wanda I. Santana, Victoria Connor, Eric Leszynski, Robert W. Mcgarrah Iii, Mark A. Sarzynski Facsm, William E. Kraus, John R. Barr

Faculty Publications

High-density and low-density lipoproteins (HDL and LDL) are established analytical targets for diagnosis and risk stratification of numerous chronic diseases. This study investigates potential sources of bias in lipoprotein particle counting (HDL-P and LDL-P), focusing on the most atheroprotective small-HDL and most pro-atherogenic small-LDL. Plasma samples were fractionated using asymmetric-flow field-flow fractionation (AF4), coupled with hydrodynamic size measurement and comprehensive liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis of each fraction. Concentration-size profiles were deconvoluted into 10 HDL and 8 LDL Gaussian subspecies. Molecular volume ratios were used to evaluate proposed particle models, providing evidence for the presence of s-HDL disk and …

Examining The Impact Of Young Children’S Motor Development On Inhibitory Control And Social Skills, Ali S. Brian, Shea E. Ferguson, Angie Starrett, 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 …

Post-Fire Inspection, Material Testing, Repair, And Field Load Testing Of A Full-Scale Concrete Box Girder Bridge: Delta Bridge Case Study, Ahmed S. Eisa, Hilal Hassan, Mohamed A. Badran, Ayman El-Zohairy

Faculty Publications

Bridges are critical components of transportation networks, and fire accidents can significantly impair their structural integrity, leading to safety risks and major economic losses. This study presents a comprehensive inspection, materials testing, repair, and field load testing program for a full-scale concrete box girder bridge (Delta Bridge, Alexandria, Egypt) following a fire exposure on two spans. A total of 28 concrete core samples were extracted and tested, revealing average compressive strengths of 48.50 MPa (slab), 53.90 MPa (web), and 45.88 MPa (columns), representing moderate reductions of approximately 8.5%, 7.9%, and 10.8%, respectively, relative to the original in situ concrete strength …

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 …

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 …

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 …

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 …

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 …

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 …