Digital Commons Network^™

Machine Learning And Multisensor Data Fusion For Forest Above Ground Biomass Estimation In Arkansas, Abdullah Al Saim, Mohamed Aly

Geosciences Faculty Publications and Presentations

Forests are essential for biodiversity conservation, climate change, natural education, scientific research, and carbon sequestration. This study uses machine learning-based Random Forest (RF) regression to estimate the Above Ground Biomass (AGB) of the Ozark and Ouachita forests at a 10-meter resolution by combining data from Sentinel-2, Sentinel-1, and GEDI (Global Ecosystem Dynamics Investigation) on Google Earth Engine. The RF model included 34 out of 154 variables representing topographical, spectral, and textural factors demonstrating strong correlations with measured biomass. The RF model showed strong performance with R-squared and RMSE values of 0.95 and 18.46 for the training dataset and 0.75 and …

The Modern Sisyphus Blows Leaves: Attitudes And Impacts Regarding Leaf Litter Removal On A Suburban Campus, A. C. Nony, M. R. Mcclung, M. L. Reid

Journal of the Arkansas Academy of Science

Leaf litter habitat disruption in suburban spaces stems from the prevalence of “lawn culture,” that is, the accepted societal norm that land immediately surrounding humans or meant for human recreational use should be clean, tidy, controlled, and aesthetically pleasing, above other considerations. When leaf litter on residential and recreational lawns is cleared, it removes vital habitat for organisms of several taxa, especially species that rely on litter as a moisture and temperature-controlled substrate for overwintering. We administered an opinion survey to students, staff, and faculty at Hendrix College, a highly residential and suburban campus in Conway, Arkansas, to assess views …

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.

Effects Of Varying Ph, Temperature, And Sucrose Concentration On The Activity Of Invertase Enzyme, B. Rainwater, S. Pratihar

Journal of the Arkansas Academy of Science

The purpose of this research is to study the factors that affect the enzymatic activity of invertase, extracted from baker’s yeast, on hydrolysis of sucrose in aqueous medium. Invertase, a glycoprotein, is an enzyme in the glycoside hydrolase family. It catalyzes the hydrolysis of sucrose producing equimolar mixture of a-D-glucose and b-D-fructose. Invertase shows high affinity for the substrate, and is capable of both cleaving the glycosidic linkage in sucrose and transferring ab-D-O-fructofuranoside residue to an acceptor substrate. (Toledo et al. 2019). A detailed mechanism of the action of invertase was postulated by Shall et al. (Shall et al. 1971). …

Whose Water Is It, Anyway? Federalism And Texas V. New Mexico, Bryon Louk

Arkansas Law Review

When a problem erupts between two states, interstate compacts provide a solution without the need for a nationwide decision. Rather than waiting for federal consensus, the states can, with Congressional approval, compact to solve their problems. However, the Supreme Court’s decision in Texas v. New Mexico (Texas II) has threatened interstate compacts, ignored principles of federalism, and overextended its original jurisdiction. It has allowed the United States to force Texas and New Mexico to keep fighting over a compact, even when the states have resolved their issues on their own.

First, this Comment will describe the legal background of compact …

Ethics Of Artificial Intelligence For Lawyers: That Is The Sound Of Inevitability: Legislatures And Regulators Step In, Cliff Mckinney

Arkansas Law Notes

In The Matrix, the evil artificial intelligence entity, Agent Smith, corners the human hero, Neo, on the subway tracks. Agent Smith says, “You hear that Mr. Anderson? . . . That is the sound of inevitability. . . .” And if there is one thing that is inevitable, it is that regulations will quickly develop around the way that we interact with and utilize artificial intelligence.

No matter how innovative or disruptive artificial intelligence may be, lawmakers and regulators will not allow it to operate unchecked. Congress recently elected not to impose a moratorium on state regulation, and California has …

A Runtime-Adaptive Transformer Neural Network Accelerator On Fpgas, Ehsan Kabir, Jason D. Bakos, David Andrews, Miaoqing Huang

Electrical Engineering and Computer Science Faculty Publications and Presentations

Transformer neural networks (TNN) excel in natural language processing (NLP), machine translation, and computer vision (CV) without relying on recurrent or convolutional layers. However, they have high computational and memory demands, particularly on resource constrained devices like FPGAs. Moreover, transformer models vary in processing time across applications, requiring custom models with specific parameters. Designing custom accelerators for each model is complex and time-intensive. Some custom accelerators exist with no runtime adaptability, and they often rely on sparse matrices to reduce latency. However, hardware designs become more challenging due to the need for application-specific sparsity patterns. This paper introduces ADAPTOR, a …

One-Step Purification Of A Bioactive Pak1-Derived Peptide, Djamali Muhoza, Emily P. Esquivel, Stacy R. Hunter, Pateince S. Okoto, Thallapuranam K.S. Kumar, Paul D. Adams

Chemistry & Biochemistry Faculty Publications and Presentations

The serine/threonine kinase PAK1 serves as a mediator of cytoskeletal reorganization and cancer-related signaling downstream of the small GTPases. Due to the challenges in purifying PAK1 complexes, a 46-residue peptide from PAK1, is widely used to study PAK1-Cdc42 signaling. Traditionally, this purification involved multi-step chromatography of recombinant GST-PBD46 complexes, yielding approximately 1 mg per 1.5 L culture. In this study, a 30 min heat treatment step after thrombin cleavage was used to precipitate GST while leaving pure PBD46 in solution. This step eliminated the need for further affinity and size-exclusion chromatography steps. This improved protocol produces proteins with a 6.5-fold …

Evaluating Groundwater-Surface Water Interactions At Selected Streams In The Mississippi River Valley Alluvial Aquifer, Usa, And Comparison To Regional Potentiometric Surfaces, Joshua Michael Blackstock, Oladipo S. Obembe, Aaron Shew, Phillip Hays, Phillip R. Owens, Christopher D. Delhom

Geosciences Faculty Publications and Presentations

Field measurements of groundwater-surface water interactions (GWSW) are critical for quantifying stream leakage, but are often limited in availability. In the Mississippi River Valley alluvial aquifer (MRVAA), USA, GWSW interactions are often inferred through interpolated potentiometric surfaces, which can provide information on GWSW changes through time, but are often limited in spatial resolution. Field measurements of GWSW interactions were conducted at several locations and compared with potentiometric surfaces using objectively calculated cell sizes. The potentiometric surfaces showed similar regional-scale groundwater-flow patterns irrespective of grid cell size. Field measurements of GWSW interactions exhibited a broader range of gaining and losing conditions …

First Arkansas Records Of The True Bugs Lasiochilus Hirtellus (Hemiptera: Heteroptera: Lasiochilidae) And Physopleurella Mundula (Anthocoridae)., S. W. Chordas Iii, R. Tumlison

Journal of the Arkansas Academy of Science

We report 2 uncommon species of true bugs (Hemiptera: Heteroptera), Lasiochilus hirtellus (Lasiochilidae) and Physopleurella mundula (Anthocoridae), for the first time from Arkansas. This includes the first report of the family Lasiochilidae for Arkansas. Both species were captured in UV light traps set in Clark County. We discuss identification, provide digital images of the voucher specimens and include updated distribution maps (north of Mexico) for both species. With the addition of these 2 species, there are now a total of 7 anthocorid species, among the 3 bug families Lasiochilidae, Anthocoridae and Lytocoridae, known for Arkansas.

Undergraduate Catalog Of Studies, 2025-2026, University Of Arkansas, Fayetteville

Undergraduate Catalog of Studies

No abstract provided.

Graduate Catalog Of Studies, 2025-2026, University Of Arkansas, Fayetteville

Graduate School Catalog of Studies

No abstract provided.

Ovipositional Behavior Of The Twig Girdler (Cerambycidae: Oncideres Cingulata) On Stems Of Mockernut Hickory (Carya Tomentosa) In Arkansas, R. Tumlison, L. Serviss

Journal of the Arkansas Academy of Science

The Twig Girdler (Cerambycidae: Oncideres cingulata) is a long-horned beetle that girdles stems of certain species of trees to prepare a habitat for its offspring. The stems eventually die, break, and fall from the tree, but the beetle usually had already laid its eggs within the stems. Eggs are laid singly, almost always at growth rings or leaf bases. Because the space for the young to develop is finite, laying too many eggs could cause reproductive failure and too few eggs would be suboptimal. We hypothesized that the female laying eggs should be able to evaluate the stem and …

Motivational Systems In Education That Encourage Academic Achievement And Student Leadership, Hannah Lockhart

2026 Research Poster Competition

This research investigates the role of motivational systems in education and their impact on students’ academic achievement, leadership development, and overall engagement following the implementation of school-based motivational frameworks. Grounded in an expanded review of educational and psychological literature, this study builds upon substantial evidence demonstrating that motivation is a critical determinant of both academic performance and personal development. While prior research consistently establishes positive correlations between student motivation and achievement, there remains a notable gap in empirical examination of how specific motivational systems are implemented in school contexts and how they function across diverse student populations. Drawing upon established …

Monitoring Long-Term Water Quality Benefits Of Urban Stream Restoration, Kira Burnett

2026 Research Poster Competition

Urbanization without conscious environmental planning can result in the degradation of stream ecosystems. This tends to result in urban stream syndrome, which is often characterized by increased sediment and nutrient concentrations, decreased biodiversity, more frequent flash flooding, and overall water quality degradation. As such, stream restoration practices are often implemented to address urban stream syndrome. Commonly used restoration practices include applying natural channel design to stabilize eroding stream banks and establishing diverse streamside vegetation to filter pollutant inputs. However, the benefits of restoration are not often quantified due to a lack of post-restoration monitoring, making it challenging to determine what …

Developing Bioassays For Detection Of Residual Herbicides In Compost, Esther Moore

2026 Research Poster Competition

Developing Bioassays for Detection of Residual Herbicides in Compost, the use of synthetic herbicides has dominated the field of agricultural production for over a century. While synthetic herbicide use has resulted in an undeniable boost in agricultural productivity, risks such as environmental degradation and reduced yield of non-target plant species must be considered. Key among these risks is compost contamination, especially from persistent herbicides. After these herbicides are applied, they are absorbed by growing vegetation, consumed by herbivores, passed through the digestive tract, and reintroduced into soil manure based compost. Even after this process, chemicals in such herbicides can remain …

Modeling The Development Of Keyhole Passage Morphology, Charlotte Boehme

2026 Research Poster Competition

Cave passage morphology is an important indicator of the hydrological conditions under which a cave passage was formed. Keyhole passages are a commonly occurring type of passage morphology that consists of a round, wide top with a smaller canyon incised in the bottom of the passage. These passages typically indicate a shift from fully water-filled to partially water-filled conditions. There are multiple mechanisms by which such a transition can occur, and little is understood about which of these mechanisms is most common, or whether aspects of keyhole passage morphology may indicate the primary formation mechanism. CaveCHAMP is a physically based …

Optimizing Microscale Tesla Valve Design For Enhanced Efficiency For Filtering And Sorting Bacteria, Brian Ewalt

2026 Research Poster Competition

Invented by Nikola Tesla in 1920, a Tesla valve is a passive check valve with no moving parts but showing diodicity for fluids (i.e., allowing fluids to flow easily in one direction but not in the other). Tesla valves have demonstrated remarkable versatility across a range of scientific fields. Recently, a study conducted at the University of Arkansas showed that these conduits exhibited diodicity for bacteria in the absence of fluid flows (Rogers et al. 2023), serving as proof of concept for applying microscale Tesla valves for filtering and sorting bacteria and microorganisms in biomedical settings. However, the design of …

Chronostratigraphy Using Stable Carbon Isotopes Of The Elliot Formation, South Africa, Aidan Del Pino

2026 Research Poster Competition

The Elliot Formation in South Africa preserves a fossil-bearing record spanning the Late Triassic–Early Jurassic, a time marked by significant environmental changes related to the Central Atlantic Magmatic Province (CAMP) and the end-Triassic extinction event. Despite its importance, the Elliot Formation remains poorly constrained due to limited chronostratigraphic markers. Chronostratigraphy is the branch of geology that correlates and dates rock units in time, allowing researchers to arrange these rock units into a chronological sequence. Globally, the Triassic–Jurassic boundary is characterized by a pronounced negative carbon isotope excursion linked to CAMP volcanism and the end Triassic extinction event. This C-isotope excursion …

Temporal Variational Graph Autoencoder For Influenza Evolution, Soumya Chauhan

2026 Research Poster Competition

Frequent mutations in influenza virus surface proteins can increase infectivity while evading human and vaccine immunity, causing seasonal epidemics. The CDC annually evaluates thousands of virus strains to predict mutated sequences likely to be dominant in the next season, which creates a need for methods that better capture how viral mutations evolve over time. In this study, we represent influenza protein sequences as a network-like graph, creating connections if sequences are collected a week apart and only differ by one mutation. This method explicitly considers time information as part of the evolution, while other existing methods analyze mutated sequences without …

Stream Education: How It Can Enrich The Expansion Of Social-Emotional Learning., Madalyn Menke

2026 Research Poster Competition

This research project investigates the implementation of a STREAM Education curriculum – integrating science, technology, reading/writing, engineering, arts/humanities, and mathematics, with a group of fourteen elementary-aged students. The study explores how the intentional inclusion of Reading and the Arts within a traditional STEM framework - guided by the Collaborative for Academic, Social, and Emotional Learning (CASEL framework - can enrich students’ social-emotional wellbeing and engagement in learning. In partnership with SOAR Afterschool Care, an eight-week instructional project was implemented in which students read What Do You Do with an Idea? by Kobi Yamada as a central text. The book served …

Uav-Based Sensor Integration For In-Situ Lake Water Quality Monitoring, Alec Campbell

2026 Research Poster Competition

Current water quality assessment methods rely heavily on manual sampling and laboratory analysis, which are time-consuming and difficult to perform in remote or hazardous environments. In surface water monitoring, spatial and temporal resolution is often constrained by labor, access, and logistical limitations of manual sampling programs. This research aims to develop a drone-based system for real-time, in situ lake water quality monitoring. To address these challenges, the project focuses on integrating multiple water quality sensors, including oxidation-reduction potential (ORP), pH, electrical conductivity (EC), turbidity, and a multispectral spectrometer, into a compact, UAV-compatible design capable of collecting spatially referenced data. Methods: …

Flair- Flow-Level Anomaly Intrustion Recognition, Joseph Dumond

2026 Research Poster Competition

Industrial control systems (ICS) and industrial Internet of Things (IIoT) networks support critical infrastructure such as power generation, water treatment, and manufacturing. As these systems become more connected, they are increasingly exposed to cyber threats. However, many existing intrusion detection approaches rely on detailed packet inspection or supervised machine learning techniques that require labeled attack data and extensive tuning, making them difficult to deploy in real industrial environments.ICS networks typically generate highly regular and predictable communication patterns due to periodic control logic and deterministic device behavior. Because of this structure, abnormal or malicious activity often appears as a disruption to …

When Relevant Isn’T Readable: Evaluating Cognitive Accessibility In Search, Kaija Frierson

2026 Research Poster Competition

According to the World Health Organization, more than one billion people worldwide experience some form of disability. Many of them may affect cognitive processing and reading comprehension rather than vision or mobility, which creates barriers when accessing written information online. Web search is a critical modern literacy skill used for learning, decision-making, and everyday problem solving, yet most search systems are designed with the assumption that all users can process complex written language equally. As a result, people with dyslexia, other cognitive disabilities, low literacy levels, or who are English language learners may struggle to access relevant information even when …

P4 Driven Data Plane Analytics For Industrial Control Network Security, Haden Fowler

2026 Research Poster Competition

Industrial control systems manage critical infrastructure such as power grids, water treatment plants, and manufacturing facilities. These systems rely on specialized network protocols to send measurements and commands between sensors, controllers, and operator workstations. Protecting these networks from cyberattacks is essential because a successful intrusion could disrupt services that millions of people depend on daily. Most current security monitoring approaches analyze copies of network traffic after it has already passed through the system. This delay means that malicious commands may reach their targets before any alarm is raised. More importantly, when alerts do occur, operators often lack the evidence needed …

Solidfit: A Decentralized Mobile Health-Tracking App Using Personal Online Data Stores (Pods), Evan Meyers

2026 Research Poster Competition

Personal fitness data is increasingly collected through mobile applications, yet most current systems store this information in centralized platforms that limit user control, long-term ownership, and data portability. This project addresses the question of whether a decentralized data model can be used to support everyday fitness tracking while preserving user autonomy and privacy. As individuals become more aware of how their health data is collected and shared, there is a growing need for systems that allow users to retain ownership of their personal information without sacrificing usability or functionality.This research presents SolidFit, an Android-based fitness tracking application designed around the …

Crispr-Cas9 Unleashed: Gene-Slicing Adventures In The Cancer Battlefield, Shivakuma Sonnaila, Shilpi Agrawal

Chemistry & Biochemistry Faculty Publications and Presentations

Cancer, a global health menace, continues to pose significant challenges in terms of incidence and mortality, necessitating innovative therapeutic strategies. Despite existing treatments, the limitations persist, prompting a quest for novel approaches. The emergence of immunotherapy marked a transformative era in solid tumor treatments, yet its efficacy is constrained by adverse effects. Concurrently, the integration of advanced technologies into cancer treatment explores the vast potential residing at the molecular level through gene analysis and manipulation. This review articulates the role of state-of-the-art genome editing technology, notably clustered regularly interspaced short palindromic repeats (CRISPR-Cas9), in overcoming the constraints of immunotherapy for …

Forecasting Inland Waterway Container On Barge Volume: A Machine Learning Approach Using Economic Features, Fan Bu, Heather Nachtmann

Industrial Engineering Faculty Publications and Presentations

This study presents a machine learning approach to predict Container-on-Barge (COB) volume in Inland Waterway Transportation (IWT) systems, focusing exclusively on using economic features as predictors. Five machine learning models were trained using European economic features to forecast COB volume, while historical COB volume was used solely for validation and hyperparameter tuning. Among these models, the convolutional neural network combined with long short-term memory (CNN-LSTM) exhibited superior performance, achieving a mean absolute percentage error (MAPE) of 1.08% when forecasting eight consecutive quarters of COB volume in Europe. The results demonstrate the feasibility of accurately forecasting COB volume using economic features. …

Temperature Variability And Its Effect On Seasonal Yield Of Rice In Bangladesh: A Long-Term Trend Assessment, Md. Abdullah Al Mamun, Md. Abdur Rouf Sarkar, Mou Rani Sarker, Andrew M. Mckenzie, Sheikh Arafat Islam Nihad, Akbar Hossain

Agricultural Economics and Agribusiness Faculty Publications and Presentations

Bangladesh, an agriculturally reliant and climate-vulnerable country, requires real-time quantification of climatic variables, such as temperature, to sustain food security. However, the effects of spatial and temporal temperature variations on rice productivity across seasons remain underexplored. Our study addresses this gap by analyzing temperature data from 35 meteorological stations (1970-2020) using parametric and nonparametric methods. The Mann-Kendall test revealed a pronounced increase in minimum temperatures compared to maximum temperatures, particularly during the monsoon season. K-means clustering identified four seasonal station clusters, revealing that rising minimum temperatures positively influenced Aus rice yields in seven regions, while temperatures above 35 degrees C …

Synthesis And Characterization Of Copper Nanoparticles: A Laboratory Experiment For Undergraduate Physical Chemistry, Jonathan Batey, Deborah Okyere, Sarah York, Feng Wang, Jingy Chen

Chemistry & Biochemistry Faculty Publications and Presentations

Nonprecious metal nanoparticles have been the subject of intensive research, due to their potential applications in promoting sustainability. This integrated laboratory experiment is designed to provide undergraduate students with hands-on experience in synthesizing and characterizing nonprecious metal nanoparticles, specifically copper nanoparticles. The experiment consists of three sections, each tailored to teach a unique aspect of nanochemistry. Section 1 focuses on the air-free synthesis of copper nanoparticles using a solution-based method with an emphasis on understanding their plasmonic properties and how oxidation impacts them. Section 2 explores the quantitative analysis of copper, where students apply crystal field theory to understand the …