Digital Commons Network^™

React: Recognize Every Action Everywhere All At Once, Naga Venkata Sai Raviteja Chappa, Pha Nguyen, Page Daniel Dobbs, Khoa Luu

Electrical Engineering and Computer Science Faculty Publications and Presentations

In the realm of computer vision, Group Activity Recognition (GAR) plays a vital role, finding applications in sports video analysis, surveillance, and social scene understanding. This paper introduces Recognize Every Action Everywhere All At Once (REACT), a novel architecture designed to model complex contextual relationships within videos. REACT leverages advanced transformer-based models for encoding intricate contextual relationships, enhancing understanding of group dynamics. Integrated Vision-Language Encoding facilitates efficient capture of spatiotemporal interactions and multi-modal information, enabling comprehensive scene understanding. The model’s precise action localization refines joint understanding of text and video data, enabling precise bounding box retrieval and …

Digital Catharsis Or Harmful Exposure? A Thematic Analysis Of Self-Directed Violence Reddit Posts, Lindsay A. Lundeen, John R. Mccall, Amanda Sams Bradshaw, Erika L. Leblanc, Lizy Humphrey

Counseling, Leadership, and Research Methods Faculty Publications and Presentations

Many feel uncomfortable discussing self-directed violence with individuals in their social circle, often leading to concerned posts on social media. Previous studies address self-harm, suicide, and nonsuicidal self-injury; however, minimal literature combines suicide and nonsuicidal self-injury to explore common themes representing self-directed violence. This study identified themes from suicide and self-harm subreddit communities, with themes common to each subreddit comprising themes of self-directed violence. Using 1,989 Reddit posts from suicide and self-harm communities, we employed an inductive thematic analysis to explore how users discussed self-directed violence within anonymous online communities. Ultimately, the impact of using Reddit for discussion of self-directed …

Tectono-Sedimentary History Of The Upper Cedar Mountain Formation, Central Utah, Usa, Ryan T. Tucker, M. Ryan King, Michael T. Mohr, Ray K. Renault, James L. Crowley, Jack W. Fekete, Peter J. Makovicky, Lindsay E. Zanno

Geosciences Faculty Publications and Presentations

Current investigations into the Albian–Cenomanian sedimentary record within the Western Interior have identified multiple complex tectono-sedimentary process–response systems during the ongoing evolution of North America. One key sedimentary succession, the upper Cedar Mountain Formation (Short Canyon Member and Mussentuchit Member), has historically been linked to various regionally and continentally significant tectonic events, including Sevier fold-and-thrust deformation. However, the linkage between the Short Canyon Member and active Sevier tectonism has been unclear due to a lack of high-precision age constraints. To establish temporal context, this study compares maximum depositional ages from detrital zircons recovered from the Short Canyon Member with that …

Arkansas Corn And Grain Sorghum Research Studies 2023, Jason Kelley, Travis Faske

Arkansas Agricultural Experiment Station Research Series

The 2023 edition of the Arkansas Corn and Grain Sorghum Research Studies Series includes research results on topics pertaining to corn and grain sorghum production, including weed, disease, and insect management; economics; irrigation; agronomics; soil fertility; mycotoxins; cover crop management; and research verification program results. Our objective is to capture and broadly distribute the results of research projects funded by the Arkansas Corn and Grain Sorghum Board. The intended audience includes producers and their advisors, current investigators, and future researchers. The Series serves as a citable archive of research results.

Exploring The Effects Of An Alfalfa Leaf-Derived Adsorbent On Microbial Community, Ileal Morphology, Barrier Function, And Immunity In Turkey Poults During Chronic Aflatoxin B1 Exposure, Maria De Jesus Nava-Ramirez, Jing Liu, Juan Omar Hernandez-Ramirez, Xochitl Hernandez-Velasco, Juan D. Latorre, Alma Vazquez-Duran, Guolong Zhang, Roberto Señas-Cuesta, Sergio Gomez-Rosales, Andressa Stein, Billy M. Hargis, Guillermo Tellez-Isaias, Abraham Mendez-Albores, Jesus A. Maguey-Gonzalez

Poultry Science Faculty Publications and Presentations

This article follows-up on our recently published work, which evaluated the impact of the addition of an alfalfa leaf-derived adsorbent in the aflatoxin B₁ (AFB₁)-contaminated diet in regard to the production parameters, blood cell count, serum biochemistry, liver enzymes, and liver histology of turkey poults. This paper presents complementary results on microbial community, ileal morphology, barrier function, and immunity. For this purpose, 350 1-day-old female turkey poults were randomly distributed into five groups: (1) Control, AFB₁-free diet; (2) AF, AFB₁-contaminated diet at 250 ng/g; (3) alfalfa, AFB₁-free diet + 0.5% ( …

Identifying And Training Deep Learning Neural Networks On Biomedical-Related Datasets, Alan E. Woessner, Usman Anjum, Hadi Salman, Jacob Lear, Jeffrey T. Turner, Ross Campbell, Laura Beaudry, Justin Zhan, Lawrence E. Cornett, Susan Gauch, Kyle P. Quinn

Computer Science and Computer Engineering Faculty Publications and Presentations

This manuscript describes the development of a resources module that is part of a learning platform named 'NIGMS Sandbox for Cloud-based Learning' https://github.com/NIGMS/NIGMS-Sandbox. The overall genesis of the Sandbox is described in the editorial NIGMS Sandbox at the beginning of this Supplement. This module delivers learning materials on implementing deep learning algorithms for biomedical image data in an interactive format that uses appropriate cloud resources for data access and analyses. Biomedical-related datasets are widely used in both research and clinical settings, but the ability for professionally trained clinicians and researchers to interpret datasets becomes difficult as the size and …

Analyzing The Incidence, Survival, And Demographic Trends Of B-Cell Prolymphocytic Leukemia, Kingsley Nnawuba, Ifeani Uche, Samantha Robinson, Obed Asare, Tochukwu Nzeako, Anup Kumar Trikannad Ashwini Kumar, Hannah Jensen

Mathematical Sciences Faculty Publications and Presentations

Background: B-cell prolymphocytic leukemia (B-PLL) is a rare disease, consisting < 1% of mature B-cell malignancies. B-PLL is often refractory to chemotherapy, with a median survival of 3 years. Due to its rarity, no large cohort studies exist elucidating outcomes.

Methods: All B-PLL patients >15 years were identified in the National Cancer Institute’s Surveillance, Epidemiology, and End Results (SEER) database between 2000-2020. Statistical analysis explored demographic variables like age; categorized as adolescent or young adult (AYA) and adults. In adults, differences in survival due to factors such as sex, race/ethnicity, household income, rurality, and age categorized in 10-15 year buckets was analyzed.

Results: B-PLL patients were predominantly white (78%), over 40 years (96%) and mostly residing in metropolitan areas (90%). Interestingly, the AYA cohort were mostly female (70%). 35% of …

Understanding And Tuning Magnetism In Layered Ising-Type Antiferromagnet Fepse3 For Potential 2d Magnet, Rabindra Basnet, Taksh Patel, Jian Wang, Dinesh Upreti, Santosh Karki Chhetri, Gokul Acharya, Md Rafique Un Nabi, Joshua Sakon, Jin Hu

Chemistry & Biochemistry Faculty Publications and Presentations

Recent developments in 2D magnetic materials have motivated the search for new van der Waals magnetic materials, especially Ising-type magnets with strong magnetic anisotropy. Fe-based MPX₃ (M = transition metal, X = chalcogen) compounds such as FePS₃ and FePSe₃ both exhibit an Ising-type magnetic order, but FePSe₃ receives much less attention compared to FePS₃. This work focuses on establishing the strategy to engineer magnetic anisotropy and exchange interactions in this less-explored compound. Through chalcogen and metal substitutions, the magnetic anisotropy is found to be immune against S substitution for Se whereas …

Elementary Teachers' Self-Efficacy And Its Role In Stem Implementation, Caroline Buechel, Michael K. Daugherty, Vinson Carter, Emine Sahin Topalcengiz

Curriculum and Instruction Faculty Publications and Presentations

To equip students with 21st-century skills, teachers must have both deep STEM content knowledge and the confidence to implement and teach appropriate STEM content. Many elementary teachers have inadequate STEM background knowledge, low confidence, and STEM self-efficacy for implementing STEM in the classroom; as a result, teachers' classroom practices are affected. The study examined how elementary teachers perceive their ability to implement STEM in the classroom. The STEM Efficacy Survey was sent to a randomized pool of 100 elementary educators, and 18 of them agreed to participate in the study. This instrument was designed to elicit responses related to the …

On Laudenbach-Type Exact Sequences, Jorge Andres Robinson Arrieta

Graduate Theses and Dissertations

Laudenbach proved that the mapping class group of the connected sum of $n$ copies of $S^2 \times S^1$ is an extension of $\text{Out}(F_n)$ by a finite group. Brendle, Broaddus and Putman proved that this exact sequence splits. We provide an explicit section $s$ of this split exact sequence. Given a locally finite graph $\Gamma$, Udall proved that the mapping class group of the doubled handlebody associated to $\Gamma$ is an extension of $\map(\Gamma)$ by a possibly infinite direct product of $\Z_2$, and proved that this exact sequence splits. We provide an explicit formula for this section $s$ of $\Psi$ restricted …

Carbon-Based Nanocomposite Membranes For Membrane Distillation: Progress, Problems And Future Prospects, Chhabilal Regmi, Yuwaraj K. Kshetri, S. Ranil Wickramasinghe

Chemical Engineering Faculty Publications and Presentations

The development of an ideal membrane for membrane distillation (MD) is of the utmost importance. Enhancing the efficiency of MD by adding nanoparticles to or onto a membrane’s surface has drawn considerable attention from the scientific community. It is crucial to thoroughly examine state-of-the-art nanomaterials-enabled MD membranes with desirable properties, as they greatly enhance the efficiency and reliability of the MD process. This, in turn, opens up opportunities for achieving a sustainable water–energy–environment nexus. By introducing carbon-based nanomaterials into the membrane’s structure, the membrane gains excellent separation abilities, resistance to various feed waters, and a longer lifespan. Additionally, the use …

Impact Of Non-Thermal Plasma Generated Using Air And Nitrogen On Functional Properties Of Milk Protein Dispersions, Nikitha Modupalli, Md Mahfuzur Rahman

Food Science Faculty Publications and Presentations

This study focuses on improving the functionalities of milk protein concentrate (MPC) using a nonthermal plasma jet and plasma-activated water (PAW) with atmospheric air and nitrogen as source gases. The 5% and 10% MPC dispersions were directly treated with a plasma jet, and PAW was used to make the MPC dispersions. The dispersions were analyzed for changes in protein structure and functional properties. The treatment altered the secondary structure of MPC protein structure by increasing β-components and changing the order of random coils. The solubility of the PAW-treated 5% protein dispersions doubled due to plasma-induced modification of hydrophilic and covalent …

Cellular Energy Cycle Mediates An Advection-Like Forward Cell Flow To Support Collective Invasion, Jian Zhang, Jenna Mosier, Yusheng Wu, Logan Waddle, Paul V. Taufelele, Wenjun Wang, Heng Sun, Cynthia A. Reinhart-King

Biomedical Engineering Faculty Publications and Presentations

Collective cell migration is a model for nonequilibrium biological dynamics, which is important for morphogenesis, pattern formation, and cancer metastasis. The current understanding of cellular collective dynamics is based primarily on cells moving within a 2D epithelial monolayer. However, solid tumors often invade surrounding tissues in the form of a stream-like 3D structure, and how biophysical cues are integrated at the cellular level to give rise to this collective streaming remains unclear. Here, it is shown that cell cycle-mediated bioenergetics drive a forward advective flow of cells and energy to the front to support 3D collective invasion. The cell division …

Defect-Free Nanowelding Of Bilayer Snse Nanoplates, Jing-Rong Ji, John W. D. Villanova, Salvador Barraza-Lopez, Stuart S. P. Parkin, Kai Chang

Physics Faculty Publications and Presentations

Nanowelding is a bottom-up technique to create custom-designed nanostructures and devices beyond the precision of lithographic methods. Here, a new technique is reported based on anisotropic lubricity at the van der Waals interface between monolayer and bilayer SnSe nanoplates and a graphene substrate to achieve precise control of the crystal orientation and the interface during the welding process. As-grown SnSe monolayer and bilayer nanoplates are commensurate with graphene's armchair direction but lack commensuration along graphene's zigzag direction, resulting in a reduced friction along that direction and a rail-like, 1D movement that permits joining nanoplates with high precision. This way, molecular …

Perspectives On Modifiable Spatiotemporal Unit Problems In Remote Sensing Of Agriculture: Evaluating Rice Production In Vietnam And Tools For Analysis, Brad G. Peter, Joseph P. Messina, Victoria Breeze, Cadi Y. Fung, Abhinav Kapoor, Peilei Fan

Geosciences Faculty Publications and Presentations

Measuring agricultural productivity is a multiscale spatiotemporal problem that requires multiscale solutions. In Vietnam, rice comprises a substantial portion of the cultivated area and is a major export crop that supplies much of the global food system. Understanding the when and where of rice productivity is vital to addressing changes to yields and food security, yet descriptive summarizations will vary depending on the spatial or temporal scale of analysis. This paper explores rice trends across Vietnam over a 19-year period, giving specific attention to modifiable spatiotemporal unit problems by evaluating productivity across multiple time periods and administrative levels. A generalizable …

A Cost-Effective Enzyme Kinetics And Inhibition Model For Biochemistry Education And Research, Lauren Vandee, Alyssa Teague, Taylor East, Kim Rhona Jacinto, Macie Carter, Jacey Totty, Paul D. Adams, Djamali Muhoza

Chemistry & Biochemistry Faculty Publications and Presentations

Enzyme kinetics and inhibition studies are crucial in biochemistry education and research. Conventional methods often require expensive equipment and reagents, potentially limiting their accessibility in limited resource settings. Our approach sought to develop a cost-effective experimental design for studying enzyme kinetics and inhibition. Lactase was chosen as a protein model and its activity was investigated by measuring glucose production from lactose hydrolysis. In the study, commercially available lactase pills were used as an enzyme source, while milk was used as a substrate. Instead of scientific equipment, glucometers were used to measure lactase activity. Enzyme kinetics were evaluated using Michaelis–Menten and …

Northwest Arkansas Education Report Card 2023, Sarah Mckenzie, Josh Mcgee, Charlene Reid, Christine L. Magness

Education Report Card

The goal of this report is to help parents, school personnel, community members, and policy makers understand how effectively the students in their community are being served by public schools. The past two years have been difficult for families, teachers, and students, but despite the challenging context, Northwest Arkansas students are demonstrating greater growth in achievement and earning higher scores on the ACT Aspire than are the students in the state overall. Schools in NWA also received higher School Quality and Student Success scores and graduate a greater percentage of high school students.

Pulaski County Education Report Card 2023, Sarah Mckenzie, Josh Mcgee, Charlene Reid, Christine L. Magness

Education Report Card

The goal of this report is to help parents, school personnel, community members, and policy makers understand how effectively the students in their community are being served by public schools. The past few years have been difficult for families, teachers, and students, and throughout the challenging context, Pulaski County students demonstrated growth in achievement on the Act Aspire that was similar to students across the state, but are performing below the state average in achievement, graduation rates, and School Quality and Student Success scores.

Diet Specialization Mediates Drivers Of Cucurbita Herbivory In A Semi-Arid Agroecosystem, Hannah L. Gray, Nicholas A. Ivers, Elizabeth Lopez, Brad G. Peter, Scott D. Longing, Magarita M. Lopez-Uribe, Shalene Jha

Geosciences Faculty Publications and Presentations

Herbivory is a major fitness pressure for plants and a key driver of crop losses in agroecosystems. Dense monocultures are expected to favor specialist herbivorous insects, particularly those who primarily consume crop species; yet, levels and types of herbivory are not uniform within regional cropping systems. It is essential to determine which local and regional ecological factors drive variation in herbivory in order to support functional agroecosystems that rely less on chemical inputs. Crops in the genus Cucurbita host a suite of both generalist and specialist herbivores that inflict significant damage, yet little is known about the relative contribution of …

Fabrication Of Binary Metal–Organic Frameworks Of Ni–Mn@Zifs(Cox·Zn1−Xo) Decorated On Cf/Cuo Nanowire For High-Performance Electrochemical Pseudocapacitors, Ali Momeni Abkahraki, Ali A. Ensafi

Chemistry & Biochemistry Faculty Publications and Presentations

Herein, metal–organic frameworks (MOFs) derived nanoflower-like based binary transition metal (Ni–Mn) are successfully fabricated by a simple synthesis method. The fabricated nanoflower-like structure displays a unique nanoflower-like architecture and internal porous channels constructed by MOF coated on CuO/CF/ZIFs (Co_x·Zn_1−xO) substrate, which is beneficial for the penetration of electrolyte and electron/ion transportation. The as-prepared CF/CuO/ZIFs (Co_x·Zn_1−xO)@BMOF(Ni–Mn) electrode materials present significant synergy among transition metal ions, contributing to enhanced electrochemical performances. The as-prepared CF/CuO/ZIFs (Co_x·Zn_1−xO)@BMOF(Ni–Mn) hybrid nanoflower-like display a high specific capacity of 1249.99 C g⁻¹ at 1 A …

Spatial Targeting Of Irrigation Development And Water Resource Management To Mitigate Vector-Borne Disease, April Frake, Brad Peter, Grivin Chipula, Joseph Messina

Geosciences Faculty Publications and Presentations

Scaling irrigated agriculture is a global strategy to mitigate food insecurity concerns. While expanding irrigated agriculture is critical to meeting food production demands, it is important to consider how these land use and land cover changes (LULCC) may alter the water resources of landscapes and impact the spatiotemporal epidemiology of disease. Here, a generalizable method is presented to inform irrigation development decision-making aimed at increasing crop production through irrigation while simultaneously mitigating malaria risk to surrounding communities. Changes to the spatiotemporal patterns of malaria vector (Anopheles gambiae s.s.) suitability, driven by irrigated agricultural expansion, are presented for Malawi's rainy and …

Looking For The Oldest Diatoms, Karolina Brylka, Sylvain Richoz, Andrew J. Alverson, David J. Conley

Biological Sciences Faculty Publications and Presentations

Paleontological observations of ancient flora and fauna provide powerful insights into past diversity and relationship dynamics between organisms and their environments. Diatoms are globally distributed protists that influence major biogeochemical cycles and sustain oceanic food webs. The fossil diatom record extends 120 million years back to the Early Cretaceous where rare deposits were discovered worldwide and are occasionally represented by diverse communities. However scarce, the taxonomic richness and geographical spread of these diatom communities suggest prior evolutionary events and therefore earlier deposits. To complement the existing fossil information and to discover diatom deposits predating 120 Ma, we examined 33 study …

Effects Of Plc At Work In Arkansas On Academic Outcomes, Sarah Mckenzie, Kate Barnes, Charlene Reid

Policy Briefs

This study evaluates the impact of Solution Tree’s Professional Learning Communities (PLC) at Work model on the academic achievement and growth of students in Arkansas schools. It provides the first large-scale evaluation of the PLC at Work model’s effectiveness in improving student academic outcomes. Using publicly available data from the Arkansas Department of Education (ADE), the analysis uses a two-stage matching process and an event study framework to determine the effectiveness of PLC at Work across six cohorts. The findings hold significant implications for policymakers, educators, and researchers interested in leveraging professional development to enhance educational practices and student outcomes. …

Professional Learning Communities And Student Outcomes: A Quantitative Analysis Of The Plc At Work Model In Arkansas Schools, Kate Barnes, Sarah Mckenzie

Arkansas Education Reports

This study evaluates the impact of the Professional Learning Communities (PLC) at Work model on student achievement and growth in Arkansas schools. Implemented through a partnership between the Arkansas Department of Education and Solution Tree, the program promotes collaborative professional development among educators. Using a matching process and an event study framework, we analyze longitudinal data on student performance in English Language Arts (ELA) and mathematics from multiple cohorts of schools.

The overall results reveal mixed outcomes. While no statistically significant improvements were observed in overall student achievement or growth, there were concerning trends for economically disadvantaged students. This subgroup …

Electric Vehicle Usage Patterns In Multi-Vehicle Households In The Us: A Machine Learning Study, Vuban Chowdhury, Suman Kumar Mitra, Sarah Hernandez

Civil Engineering Faculty Publications and Presentations

Electric vehicles (EVs) play a significant role in reducing carbon emissions. In the US, EVs are mostly owned by multi-vehicle households, and their usage is primarily studied in the context of vehicle miles traveled. This study takes a unique approach by analyzing EV usage through the lens of vehicle choice (between EVs and internal combustion engine vehicles) within multi-vehicle households. A two-step machine-learning framework (clustering and decision trees) is proposed. The framework determines the preferred trip category for EV use and captures the effects of household attributes, driver attributes, built-environment factors, and gas prices on EV use in multi-vehicle households. …

Hatt-Flow: Hierarchical Attention-Flow Mechanism For Group-Activity Scene Graph Generation In Videos, Naga Venkata Sai Raviteja Chappa, Pha Nguyen, Thi Hoang Ngan Le, Page Daniel Dobbs, Khoa Luu

Electrical Engineering and Computer Science Faculty Publications and Presentations

Group-activity scene graph (GASG) generation is a challenging task in computer vision, aiming to anticipate and describe relationships between subjects and objects in video sequences. Traditional video scene graph generation (VidSGG) methods focus on retrospective analysis, limiting their predictive capabilities. To enrich the scene-understanding capabilities, we introduced a GASG dataset extending the JRDB dataset with nuanced annotations involving appearance, interaction, position, relationship, and situation attributes. This work also introduces an innovative approach, a Hierarchical Attention–Flow (HAtt-Flow) mechanism, rooted in flow network theory to enhance GASG performance. Flow–attention incorporates flow conservation principles, fostering competition …

Photodegradation Of Microplastics Through Nanomaterials: Insights Into Photocatalysts Modification And Detailed Mechanisms, Yiting Xiao, Yang Tian, Wenbo Xu, Jun Zhu

Biological and Agricultural Engineering Faculty Publications and Presentations

Microplastics (MPs) pose a profound environmental challenge, impacting ecosystems and human health through mechanisms such as bioaccumulation and ecosystem contamination. While traditional water treatment methods can partially remove microplastics, their limitations highlight the need for innovative green approaches like photodegradation to ensure more effective and sustainable removal. This review explores the potential of nanomaterial-enhanced photocatalysts in addressing this issue. Utilizing their unique properties like large surface area and tunable bandgap, nanomaterials significantly improve degradation efficiency. Different strategies for photocatalyst modification to improve photocatalytic performance are thoroughly summarized, with a particular emphasis on element doping and heterojunction construction. Furthermore, this review …

Settingsorder Article Reprints Open Accesseditor’S Choicearticle Exploring The Impact Of Spray Process Parameters On Graphite Coatings: Morphology, Thickness, And Tribological Properties, Adedoyin Abe, Josue A. Goss, Min Zou

Mechanical Engineering Faculty Publications and Presentations

This study explores, through a full factorial experimental design, the effects of graphite concentration and spray flow rate on the morphology, thickness, and tribological performance of graphite coatings for potential tribological applications. Coatings were applied to rough substrates using varying concentrations and flow rates, followed by analysis of their morphological characteristics, roughness, thickness, coefficient of friction (COF), and wear behavior. The results revealed distinct differences in the coating morphology based on flow rate, with low-flow-rate coatings exhibiting a porous structure and higher roughness, while high-flow-rate coatings displayed denser structures with lower roughness. A COF as low as 0.09 was achieved, …

Simulation Of Linear And Cyclic Alkanes With Second-Order Møller–Plesset Perturbation Theory Through Adaptive Force Matching, Alexei Nikitin, Feng Wang

Chemistry & Biochemistry Faculty Publications and Presentations

Predicting ensemble properties, such as density and heat of vaporization, of small hydrocarbons is challenging due to the dispersion-dominated weak interactions between these molecules. With the adaptive force matching (AFM) method, the bonded and short-range nonbonded interactions are fitted to second-order Møller–Plesset perturbation theory (MP2) references computed with the def2-TZVP basis set. The dispersion is modeled using symmetry adapted perturbation theory (SAPT) at MP4 accuracy using the def2-TZVPD basis set. A new charge matrix decomposition technique is described to obtain partial charges in AFM. Although the models developed do not have any empirical parameters, several properties of the resulting models …

A Multi-Tiered Mentoring Community Approach To Research Experiences For Local Students From Disadvantaged And Underrepresented Minority Backgrounds, Thomas Mckean, Lashall Bates, Gary Bates, Jacquelyn D. Wiersma-Mosley, S. Ranil Wickramasinghe

Chemical Engineering Faculty Publications and Presentations

Introduction: A research and mentoring program was developed to provide local first-generation students, students returning to school after a professional experience, and underrepresented minority students resources and relationships to guide them toward a STEM degree from a four-year university.

Methods: A multi-tiered mentoring community was formed including direct mentoring from graduate students and faculty advisors, peer mentoring among undergraduate students from different colleges and universities, and high school students to increase the accessibility of research opportunities for this demographic. Local students were recruited from Northwest Arkansas Community College and Upward Bound to combine community college and high school students in …