Digital Commons Network^™

Effects Of Asphalt Or Concrete On Dynamic Wireless Power Transfer, Yuou Peng, Daniela Wolter Ferreira Touma

Shelby Hall Graduate Research Forum Posters

Dynamic Wireless Power Transfer (DWPT) allows measurements should be done for 100 kHz and 77 kHz. electrical energy to be transferred wirelessly to a moving object, and it also possesses the ability to charge vehicles continuously while they are traveling down a specially equipped road.

A method of embedding the coils in the surface course shows that all coils achieve more than 54 kW of power at an efficiency of 95% in the power transmission evaluation. Advantage: Ability to charge vehicles continuously while they are traveling down a specially equipped road. Objective: Investigation of physical and structural feasibility of embedding …

Cellebrite Reliability In Digital Forensics, Christina Huynh

Shelby Hall Graduate Research Forum Posters

Forensic tools like Cellebrite are commonly used in court to gather and interpret raw data for evidence. Cellebrite does not only collect data but creates and interprets the artifacts of data to create a scene of the process it has been through. With this, evidence can be influenced by software designs and not just the data on the mobile device. Courts and police use Cellebrite to gather evidence and reconstruct it to create an easily readable dataset. These tools lack reproducibility, transparency, integrity, and chain of evidence command. Cellebrite is often used in court and by police without further vetting …

Brain Computer Interfaces: Enhancing Low-Cost Eeg Performance Through Deep, Anwar Rassoul

Shelby Hall Graduate Research Forum Posters

The field of Brain Computer Interfacing (BCI) has traditionally been confined to clinical and research environments due to the high cost and complexity of medical-grade EEG systems. However, the emergence of low-cost hardware exemplified has catalyzed a shift toward accessible, portable BCI applications. While these devices lower the barrier to entry for developers and researchers, they often suffer from a lower signal-to-noise ratio (SNR). This increased noise makes it difficult to extract the clean neural signatures required for high-accuracy control, particularly when operating in non-shielded, real-world environments.

This research focuses on Steady-State Visually Evoked Potentials (SSVEP), a robust BCI paradigm …

Algorithm For Detecting Luks2-Encrypted Containers In Forensic Images, Nicholas Flynn, Michael Black

Shelby Hall Graduate Research Forum Posters

As technology becomes increasingly integrated into daily life, the way in which society interacts with digital content continues to rapidly change. Though there is growth in advancements that help the average user, there is a similar upward trend in crimes committed involving a computer. Figure 1 illustrates the growth in research across many disciplines of digital forensics reflecting the demand for tools which can combat a wide variety of cyber crimes.In the past two decades, with a massive spike since 2017, there has been much literature produced in response to this demand. It can be inferred from the Federal Bureau …

Improving Consensus In Blockchain, Nelson Navas

Shelby Hall Graduate Research Forum Posters

Called the 4th industrial revolution, Industry 4.0 is the latest paradigm for implementing industrial applications. This new approach relies heavily on increased automation, smart machines, human-machine interaction, AI, and telecommunications. Industry 4.0 applications introduce the idea of the smart factory. The integration of information technology (IT) and operational technology (OT) is a key factor that promotes efficiency in the supply chain. All this is predicated in the generation, sharing, and storage of large quantities of data and transactions to facilitate management, traceability, and control of industrial processes. Increased reliance on interconnectedness causes cybersecurity challenges. Access to machinery, infrastructure, IT systems, …

Machine Learning On The Edge: Performance And Security Evaluation Of Cnn Implementations In Embedded Systems, Krista Stacey

Shelby Hall Graduate Research Forum Posters

Embedded systems increasingly integrate Machine Learning (ML) for real-time decision-making across loT, infrastructure, and critical systems. However, ecosystems differ significantly in: Latency, Throughput, Energy use, Accuracy of Models Security exposure. Most research evaluates performance or security, not both together. There is a need for a unified cross-platform performance-security evaluation framework

Trophic Structure And Mercury Bioaccumulation In Walleye And Yellow Perch In The Upper And Lower Red Lake Basins, Marissa Pribyl

Biology Graduate Theses

Mercury is a persistent global contaminant that biomagnifies through aquatic food webs, with dietary and environmental factors serving as the primary drivers of accumulation in fishes. Trophic structure and methylmercury dynamics in Walleye (ogaa; Sander vitreus) and Yellow Perch (asaawens; Perca flavescens) were investigated in the Upper and Lower Red Lake basins in Red Lake, Minnesota, during 2024-2025. Diets of Walleye and Yellow Perch were assessed through stomach dissections, and tissue samples from both species were analyzed for total mercury concentrations. Additional analyses included shiners (gigoozens; Notropis spp., Hudsonius spp.) along with a variety of freshwater fish and …

Fare-Free Public Transportation: A Systematic Review Of Outcomes, Joseph S. Lightner, Nancy Ziegler, Tyler Prochnow, Sammi Ford, Jordan A. Carlson, Mallory Moon, Jannette Berkley-Patton, Steven Chesnut, Amanda Grimes

Manuscripts, Articles, Book Chapters and Other Papers

Introduction

Methods

Wayne E. Sabbe Arkansas Soil Fertility Studies 2025, Nathan A. Slaton

Arkansas Agricultural Experiment Station Research Series

Rapid technological changes in crop management and production require that the research efforts be presented in an expeditious manner. The contributions of soil fertility and fertilizers are major production factors in all Arkansas crops. The studies described within will allow producers to compare their practices with the university’s research efforts. Additionally, soil-test data and fertilizer sales are presented to allow comparisons among years, crops, and other areas within Arkansas.

Comparison Of Analytical Techniques From The Extraction Of Bioactive Compounds From Kratom, Curry, Ginger, And Turmeric, Riley Bruno

Honors Program: Senior Projects (Public)

Plants, herbs, and spices have been used as medicines for thousands of years. Early civilizations often attributed healing properties of plants to magical or divine forces. However, as chemistry and analytical technology advanced between the 16th and 18th centuries, scientists began to understand that bioactive compounds within the plants actually caused these effects. Today, natural products remain extremely important in drug discovery. As the number of newly developed synthetic drugs declines, there has been renewed interest in identifying biologically active molecules from plants. Bioactive molecules are a group of diverse chemical compounds that stimulate a response in living tissues. The …

Reliving 10 Years Old: Descriptive Insights Into Retro Gaming, Nick Ballou, Nick Bowman, T. Hakman, Andrew Przybylski

Media Studies - All Scholarship

As video games and players age, some are drawn to retro titles, operationalized here as games from the 1970s–early 2000s. This trend has sparked growing interest among researchers and the games industry in areas such as consumer behavior, nostalgia, and well-being. However, little is known about naturalistic retro gaming—who plays them, and what time periods players revisit. We analyze 1,099 players’ logged session histories on Nintendo Switch classic consoles (e.g., Nintendo Entertainment System, Nintendo 64), totaling 13,000 hr. We find that retro gaming increases with age until around 40; that people tend to revisit consoles popular when they were 5–13 …

Dyadic Respiratory Sinus Arrhythmia Outcomes For Mothers And Their Children: Long-Term Follow-Up Of A Randomized Controlled Trial Of Brief Parenting Interventions, Abigail Sullivan, Sophia Eisenberg Garcia, Maria Kinsey, Komal Brown, Rong Bai, Melissa Mcternan, Seth J. Scholer, Ron Prinz, Julia Fleckman, Stacy Drury, Catherine A. Taylor

Student Publications [Scholarly]

This study was part of a longitudinal follow-up of a 3-armed randomized controlled trial designed to test the effects of two brief parenting interventions, Play Nicely (PN) and Triple P-Level 2 (TP2), to a usual care control on parenting outcomes. Female caregivers with an identified index child (Mage = 3.7 years, standard deviation [SD] = 1.7) were recruited through women, infants, and children (WIC) clinics in the greater New Orleans region. At a long-term (Myears = 5 years, SD = 0.9) follow-up assessment, respiratory sinus arrhythmia (RSA) was assessed for a subset of these mother–child dyads during three dyadic interaction …

Statistical Methods In Aging Research: Improving Current Practices And Embracing Emerging Approaches, Deependra K Thapa, Erik S Parker, Mounika Kandukuri, Xi Rita Wang, Thirupathi R Mokalla, Olivia C Robertson, Wasiuddin Najam, Andrew E Teschendorff, Andrew W Brown, John R Speakman, Yisheng Peng, Bernard S Gorman, Heping Zhang, Luis-Enrique Becerra-Garcia, Colby J Vorland, David B Allison

Faculty, Staff and Students Publications

Aging research relies on varied statistical methods, and applying these methods appropriately is important for scientific rigor. However, proper use of these statistical techniques is a challenge. We discuss two categories of statistical methods in aging research: (a) emerging methods requiring further validation, including techniques to examine compression of morbidity, maximum lifespan, immortal time bias, molecular aging clocks, and treatment response heterogeneity, and (b) classic and existing methods needing reconsideration and improvement, such as stepwise regression, generalized linear models, methods for accounting for clustering and nesting effects, methods for testing for group differences, methods for mediation …

Testing And Evaluation Of Generative Large Language Models In Electronic Health Record Applications: A Systematic Review, Xinsong Du, Zhengyang Zhou, Yifei Wang, Ya-Wen Chuang, Yiming Li, Richard Yang, Wenyu Zhang, Xinyi Wang, Xinyu Chen, Hao Guan, John Lian, Pengyu Hong, David W Bates, Li Zhou

Faculty, Staff and Students Publications

Background: The use of generative large language models (LLMs) with electronic health record (EHR) data is rapidly expanding to support clinical and research tasks. This systematic review characterizes the clinical fields and use cases that have been studied and evaluated to date.

Methods: We followed the Preferred Reporting Items for Systematic Review and Meta-Analyses guidelines to conduct a systematic review of articles from PubMed and Web of Science published between January 1, 2023, and November 9, 2024. Studies were included if they used generative LLMs to analyze real-world EHR data and reported quantitative performance evaluations. Through data extraction, we identified …

Educating To Exhaustion: Intention To Leave Among Us Full-Time Nursing Faculty, Jacqueline Christianson, Kathryn J. Malin, Jessica Leiberg, Lisa M. Grabert, Stephanie E. Moser, Jessica L. Zemlak

College of Nursing Faculty Research and Publications

AIM 

The aim of this study was to examine the relationships between work efforts and rewards with intention to leave and burnout among full-time nurse educators.

BACKGROUND 

The nursing faculty shortage is a contributor to the nursing shortage. Poor balance between work efforts and rewards may contribute to intention to leave.

METHOD 

A cross-sectional survey of US nurse faculty examined work efforts, rewards, burnout, and intention to leave. Structural equation modeling was used to evaluate the relationships among variables.

RESULTS 

Among 588 participants, efforts and rewards both had significant effects on burnout. Burnout and rewards had significant effects on intention …

Incidence Of Cancers Among Children Living With Hiv In Malawi After Widespread Availability Of Antiretroviral Therapy: A Population-Based Study, Casey L Mcatee, Fatsani Manase, William Kamiyango, Jimmy Villiera, Mark Zobeck, Joseph Mhango, Allison Silverstein, Samuel Maloya, Apatsa Matatiyo, Eluness Simwela, Honour Mhango, Desire Hellings, Brigid O'Brien, Claudia Wallrauch, Tom Heller, Matthew Painschab, Kate Westmoreland, Atupele Mpasa, Rizine Mzikamanda, Nmazuo Ozuah, Joseph Lubega, Nader Kim El-Mallawany, Carl E Allen, Michael E Scheurer

Faculty, Staff and Students Publications

Purpose: Few data describe the modern epidemiology of pediatric HIV-associated cancers in sub-Saharan Africa, home to over 80% of the world's children living with HIV. This study evaluated the incidence of cancers among these children over 15 years after widespread antiretroviral therapy (ART) adoption in Malawi.

Methods: We conducted a retrospective population-based cohort study leveraging multiple independent data sources comprehensive of all cancer diagnoses among children living with HIV in Northern and Central Malawi between 2010 and 2024. HIV-associated cancers were defined as those cancers with well-established epidemiologic associations with HIV. Cumulative incidence and average annual percent change were estimated …

Comparing Observed With Self-Reported Hand Hygiene Adherence Among Bedside Nurses And Physicians At Two Hospitals In The United States, Prathit A Kulkarni, M Todd Greene, Sanjay Saint, Karen E Fowler, Serene Jacob, Laura Dillon, Michelle Espiritu, Nathan Houchens, Huberta T Cozart, Barbara W Trautner

Faculty, Staff and Students Publications

Background: Hand hygiene is a core component of infection prevention in healthcare settings. One potential reason for lack of adherence to recommended hand hygiene practices is erroneous self-perception. We aimed to compare perceptions about hand hygiene compliance with objective data.

Methods: Direct observations of hand hygiene performance by nurses and physicians during typical workflow in inpatient general medicine wards were conducted from 12 September 2022 to 27 October 2022 at two academic Veterans Affairs medical centers. Participants were surveyed regarding perceptions about their hand hygiene performance relative to recommended practices.

Results: Among nurses, hand hygiene was performed in 1,397/3,690 (37.9%) …

Childhood Maltreatment And Deviations From Normative Brain Structure: A Mega-Analysis Of 3711 Individuals From The Enigma Major Depressive Disorder And Enigma Posttraumatic Stress Disorder Working Groups, Jacklynn M. Fitzgerald

Psychology Faculty Research and Publications

Background. Childhood maltreatment (CM), encompassing abuse and neglect, is highly prevalent and associated with elevated risk for major depressive disorder (MDD), posttraumatic stress disorder (PTSD), and other related conditions. However, the extent to which neuroanatomical alterations in MDD and PTSD are attributable to CM is uncertain.

Methods. Here, we analyzed CM and whole-brain magnetic resonance imaging (MRI) data from 3711 participants in the ENIGMA (Enhancing Neuro Imaging Genetics through Meta Analysis) MDD and PTSD Working Groups (25 sites; mean age = 33.3 ± 13.0 years; 59.9% female). Normative modeling estimated deviation z scores for 14 subcortical volume, 68 cortical thickness …

Exploring The Potential Of Generative Artificial Intelligence In Enhancing Computational Thinking In Digital Literacy And Computer Science Education, Simone Elias, Richard Brutti, Linda Wilson-Jones

Journal of Research Initiatives

This conceptual article examines resources for facilitating computational thinking (CT) in Massachusetts schools within the context of the Digital Literacy and Computer Science (DLCS) Curriculum Framework. It advances an argument for the ethical, intentional, and educator supervised integration of computational thinking resources and generative artificial intelligence to support inclusive, developmentally appropriate, and student-centered learning environments. The analysis suggests that although no single resource may fully address the breadth of DLCS standards, their coordinated use may strengthen scaffolding, differentiation, personalization, and meaningful engagement with computational thinking concepts. Within this framework, generative artificial intelligence is understood as a supportive instructional tool, while …

Large Language Models For Bioinformatics, Wei Ruan, Yanjun Lyu, Jing Zhang, Jiazhang Cai, Peng Shu, Yang Ge, Yao Lu, Shang Gao, Yue Wang, Peilong Wang, Lin Zhao, Tao Wang, Yufang Liu, Luyang Fang, Ziyu Liu, Zhengliang Liu, Yiwei Li, Zihao Wu, Junhao Chen, Hanqi Jiang, Yi Pan, Zhenyuan Yang, Jingyuan Chen, Shizhe Liang, Wei Zhang, Terry Ma, Yuan Dou, Jianli Zhang, Xinyu Gong, Qi Gan, Yusong Zou, Zebang Chen, Yuanxin Qian, Shuo Yu, Jin Lu, Kenan Song, Xianqiao Wang, Andrea Sikora, Gang Li, Xiang Li, Quanzheng Li, Yingfeng Wang, Lu Zhang, Yohannes Abate, Lifang He, Wenxuan Zhong, Rongjie Liu, Chao Huang, Wei Liu, Ye Shen, Ping Ma, Hongtu Zhu, Yajun Yan, Dajiang Zhu, Tianming Liu

Faculty, Staff and Student Publications

With the rapid advancements in large language model technology and the emergence of bioinformatics-specific language models (BioLMs), there is a growing need for a comprehensive analysis of the current landscape, computational characteristics, and diverse applications. This survey aims to address this need by providing a thorough review of BioLMs, focusing on their evolution, classification, and distinguishing features, alongside a detailed examination of training methodologies, datasets, and evaluation frameworks. We explore the wide-ranging applications of BioLMs in critical areas such as disease diagnosis, drug discovery, and vaccine development, highlighting their impact and transformative potential in bioinformatics. We identify key challenges and …

Spatial Profiling Reveals Distinct Molecular And Immune Evolution Of Mouse Lung Adenocarcinoma Precancers With Or Without Carcinogen Exposure, Bo Zhu, Muhammad Aminu, Pingjun Chen, Jian-Rong Li, Chuanpeng Dong, Chenyang Li, Yanhua Tian, Shao-Wei Lu, Hong Chen, Chenxi Ma, Xin Hu, Jie Ye, Andrew Y Liu, Beibei Huang, Frank R Rojas, Parra Cuentas Edwin Roger, Ou Shi, Monique B Nilsson, Alissa Poteete, Khaja B Khan, Wei Lu, Luisa M Solis Soto, Junya Fujimoto, Cara Haymaker, Ignacio I Wistuba, Zhubo Wei, Linghua Wang, Don L Gibbons, Ken Chen, Alexandre Reuben, Jason M Schenkel, John V Heymach, Chao Cheng, Jia Wu, Jianjun Zhang

Faculty, Staff and Student Publications

Tumor evolution involves genetic, transcriptional, and phenotypic alterations that shape cancer cell behavior and interactions with the microenvironment. While single‐cell technologies have advanced our understanding of this process, spatial dynamics remain incompletely characterized. Here, whole‐exome sequencing (WES), imaging mass cytometry (IMC), and spatial transcriptomics (ST) were integrated to study molecular evolution and immune responses in two lung adenocarcinoma (LUAD) mouse models: a genetically engineered model (129S4/Sv‐KrasLSL‐G12D, termed 129S4 K) and a carcinogen‐induced precancer model (129S4 U). Compared to 129S4 K, 129S4 U tumors exhibited higher mutational, neoantigen but lower copy number variation (CNV) burdens at matched developmental timepoints, consistent with …

Physical Activity In Osteosarcoma Patients During And Post Therapy: A Single Site Prospective Observational Study, Elysia R Cohen, Clark Andersen, Karen Moody, Maria C Swartz, Michael C Robertson, Alakh Rajan, Theresa Honey, Sandra Lugo, Grace Waterman, Keri Schadler

Faculty, Staff and Student Publications

PURPOSE: Osteosarcoma is the most common primary bone tumor in childhood and adolescence. Many patients face long-term impairments in their mobility and function after treatment, leading to a decrease in their quality of life. Exercise has been shown to improve functional recovery and improve quality of life in patients with cancer, though data specific to children with osteosarcoma are sparse. Exercise has also been shown to be feasible in patients undergoing chemotherapy, with numerous potential benefits to health and quality of life. To design the most effective exercise interventions for children and adolescents with osteosarcoma, we must first understand the …

Impact Of Intra- And Interfractional Motion On The Dose Distribution And Urinary Adverse Events For Magnetic Resonance-Guided Prostate Cancer Radiotherapy, Shu Xing, Sarah Burleson, Xiao Tan, Qijie Huang, Nima Hassan-Razein, Chengcheng Gui, Ergys Subashi, Himanshu Nagar, Victoria Brennan, Neelam Tyagi

Faculty, Staff and Student Publications

Purpose: To evaluate the impact of intra- and interfractional motion on dose distribution and clinical outcome in prostate magnetic resonance (MR)-guided adaptive radiotherapy.

Methods: Seventy-six patients were treated with five-fraction stereotactic radiotherapy on a 1.5 T MR linear accelerator. Cine MR images were acquired during treatment and exported to a motion monitoring research package, to generate motion traces in the anterior-posterior (AP), superior-inferior (SI) and left-right (LR) directions. Planned dose distributions were shifted according to motion trace to reconstruct intrafraction motion-blurred dose. Intrafraction motion-blurred doses were deformably registered to fraction one motion-blurred dose to obtain interfraction accumulated dose. The impact …

An Adp Getaway Service, Not An Atp Tank: Insights Into The Phosphagen System In Neurons, Madeline P Marques, Kartik Venkatachalam

Faculty, Staff and Student Publications

No abstract provided.

Tourniquet Tester, Tyler Offerman, Thuy Nguyen, Ryan Ly, Cody Hoeptner

Biomedical Engineering

The Tourniquet Tester is a device intended to be used as a standardized testing device for tourniquets. Due to the lack of a standard testing device for testing tourniquets that can produce accurate and reproducible results, it is difficult to test the efficacy of tourniquets currently being sold on the market. A standard testing device that can produce consistent and reproducible results would allow tourniquet manufacturing companies to properly test the efficacy of their product and develop proper guidelines and directions for users of the product. Medical professionals and military personnel who may use tourniquets in their line of work …

Babycheck, Ayla V. Campbell, Eleanor M. Tweedy

Biomedical Engineering

The BabyCheck project was created to design and test a device that can collect a small blood sample from the fetal scalp during labor. The goal is to reduce uncertainty when fetal heart rate tracings are unclear, especially in Category II cases where it can be difficult for clinicians to decide the safest next step. Current monitoring methods either rely on interpreting heart rate patterns or use more invasive procedures to gather biochemical information. BabyCheck was designed to provide a simpler and more controlled way to collect a small blood sample that could help guide these decisions.

The final prototype …

Jaundease Phototherapy Vest Test Plan, Sujay Panthulu, Jasdev Banwait, Gwynn Moss, Solomon M. Fernandez

Biomedical Engineering

Neonatal hyperbilirubinemia is a common condition affecting more than 60% of newborns, caused by an excess buildup of bilirubin in the blood due to the liver’s limited ability to process it efficiently [1]. The standard treatment involves hospital-based phototherapy, where infants are placed in incubators under blue light to break down bilirubin in the skin. Although effective, this approach requires infants to remain under the lights for 12–18 hours per day, often with eye protection, and separated from their parents—disrupting early bonding and potentially contributing to toxic stress that can impact neurological and emotional development [2]. While at-home phototherapy solutions …

Improving Cellular Retention And Distribution To Promote Arteriogenesis In A Mouse Model Of Chronic Arterial Occlusion, Nancy Huang

Biomedical Engineering

Peripheral Arterial Occlusive Disease (PAOD) affects millions of people in the United States, creating pain, discomfort, and limited mobility due to restricted blood flow from obstructed arteries. While current treatments include lifestyle changes and revascularization procedures, these options are often insufficient or inaccessible because of procedural pain and socioeconomic barriers. In some cases, this can lead to critical limb ischemia and amputation as a last resort. Increasing blood flow to the extremities by enhancing collateral vessel growth, a biological process called arteriogenesis, with cell-based therapies can redirect blood flow around obstructions and has potential to mitigate and treat the effects …

Iud Insertion Pain Management, Sandhya Sridhar, Olivia Armas, Lucy Campochiaro

Biomedical Engineering

This project focuses on developing an atraumatic cervical stabilization device that serves as a modern alternative to the traditional tenaculum used during IUD insertion procedures. Current devices rely on sharp metal prongs that pierce the cervix and often cause significant pain and bleeding. The goal of this project is to design a device that provides the same stability and control for clinicians while eliminating the need to puncture cervical tissue. The device is intended to be used by gynecologists, nurse practitioners, physician assistants, primary care physicians, or any medical professional performing an IUD insertion. The device is intended to be …

Cpap Belly Prevent, Alek Corpuz, Emma Hoffman, Danielle Tran

Biomedical Engineering

Neonates with low gestation periods often face complications such as respiratory distress syndrome, or RDS, which increases risk for complications such as necrotizing enterocolitis. Use of bCPAP helps facilitate regular breathing, but can also force air into the stomach and consequently cause abdominal distention. Clinicians currently use an already inserted feeding tube to vent the accumulated air, however this interrupts the feeding process.

The PreVent device was developed to allow for simultaneous feeding and venting. The dual function minimizes interruptions to NICU nurse workflow and improves capability to relieve abdominal distention before the onset of adverse complications.