Digital Commons Network^™

Bringing Worlds Together: How Social Studies Teachers Make Content Meaningful, Harley A. Payne

Honors College Theses

Secondary educators in social studies classes face the challenge of maintaining the attention of dozens of students during instruction, often on content that seems irrelevant or unimportant. Educators must find ways to emphasize that the content their students are disinterested in is useful and crucial for their development into adults. Research suggests that bridging the gap between the classroom and the real world improves classroom engagement (Cooper, 2014; Tagliaferro, 2012). Students who are engaged and exert more effort in class derive academic benefits, such as placement in advanced pathways and increased test scores (Carbonaro, 2005). Civics education and the inclusion …

Morphology, Phylogeny And Distribution Of Scaeurgus (Cephalopoda: Octopoda) In Southeast Pacific Seamounts, Sergio A. Carrasco, Christian M. Ibáñez, Andrea I. Varela, Jan M. Tapia-Guerra, Erin E. Easton, Javier Sellanes

School of Earth, Environmental, & Marine Sciences Faculty Publications

Octopuses of the genus Scaeurgus inhabit upper bathyal benthic habitats and are composed of five recognized species. In this study, we conducted morphological and molecular phylogenetic analyses of two individuals of Scaeurgus and provided additional field observations of the genus in seamounts of the Nazca and Salas y Gómez ridges (southeast Pacific Ocean) over the last six years. Specifically, two specimens of Scaeurgus were collected at 234 m depth in 2019 during the EPIC oceanographic cruise onboard the R/V Mirai (JAMSTEC, Japan), and five other specimens were video recorded at depths between 210 and 340 m during three oceanographic expeditions …

Sex-Specific Differences In Lung Mitochondrial Function And Injury In Rats Exposed To Hyperoxia, Taheri Pardis, Abraham G. Taye, Devanshi D. Dave, Elizabeth R. Jacobs, Guru Prasad Sharma, Anne V. Clough, Ranjan K. Dash, Said H. Audi

Mathematical and Statistical Science Faculty Research and Publications

Hyperoxia is both an essential therapy and a contributor to lung injury in acute respiratory distress syndrome. We hypothesized that adult female rats are relatively protected from hyperoxia-induced acute lung injury (HALI) compared with males and that this protection is associated with sex-dependent differences in lung mitochondrial bioenergetics and H₂O₂ production. Adult rats were exposed to room air (normoxia) or hyperoxia (>95% O₂) for up to 60 h. Lung injury was assessed by pleural effusion, lung wet weight, pulmonary vascular filtration coefficient (K_f), histologic injury scores, and cleaved caspase-3 (CC3) staining. …

Cloud-Based Lightweight Spatiotemporal Deep Learning Sign Language Recognition Model With Digital Twin Avatar, Mohammed Zuhair Abduljabbar

Thesis/ Dissertation Defenses

This dissertation proposes a full framework for sign language recognition (SLR). This study introduces Meta AI concept and a cloud-based framework that integrates a spatial detection and recognition model for sign language alphabet, and a spatiotemporal Transformer model for word-level SLR. The framework design also integrates a 3D digital twin that acts as a sign language interpreter on real time enhancing user friendliness and human computer interaction with the system. The major focus is finding the balance between performance accuracy and computation complexity efficiency starting with the framework communication between AI agents and the SLR models and digital twin efficiency. …

Dna Barcoding Of Eight Freshwater Fish Species (Order Siluriformes) From The River Ravi, Pakistan, Hafiz Muhammad Ashraf, Hafiz Abdullah Shakir, Muhammad Irfan, Shaukat Ali, Chaman Ara, Noor Khan, Muhammad Khan, Abdul Qadir, Muhammad Zafar Saleem

Karbala International Journal of Modern Science

Pakistan's freshwater bodies host significant fish species, but molecular identification is still in its infancy, necessitating the use of morphological and molecular DNA barcoding techniques. The study confirmed the species of the order Siluriformes found in the River Ravi, Pakistan, using DNA extracted from muscle tissue, sequenced for the COI gene, and obtained accession and Barcode Index Numbers from GenBank and BOLD databases. In the BLAST search, identities ranged from 99.23–100% and 99.52–100% in the GenBank and BOLD databases, respectively. The study revealed that the Kimura 2-Parameter genetic distance increased from lower to higher taxonomic levels: within species (0.00%) < within genus (15.17%) < within family (19.77%). The study estimated average nucleotide differences (104.964) and nucleotide diversity (0.16099) but found Tajima's neutrality test to be statistically insignificant. The neighbor-joining tree displayed closely linked species under a node, whereas divergent species were grouped under distinct nodes. The COI gene-based DNA barcoding aids in Pakistan's fish resource inventory, monitoring, and management, providing valuable input for traditional methods.

Eco-Assisted Ultrasonic Synthesis, Characterization, And Electrical Conductivity Study Of Polyaniline/ Silica@Fe3o4 Q1 Nanocomposites, Ali Salim Shaway, Kholoud Dham Khamkheem, Jawad Kadhim Abaies, Athra G. Sager

Karbala International Journal of Modern Science

وفي هذه الدراسة الصوتية، أصبحت السيليكا المُنتجة بأكسيد الحديد (Fe₃O₄) ومركبات نانوية قائمة على البولي أنيلين مُطعّم بنسبة 5-15% من السيليكا المُعزز للحديد (Fe₃O₄). وأكملت نهائيا ماء أنيلين والمركبات العلمية المتنوعة الارتباط باستخدام تقنيات FT-IR وUV-Vis وXRD وSEM وTEM. وأحدثت نتائج XRD أن حجم جسيمات البولينج أنيلين الناي (PANI) يبلغ 55.5. مكثف هذا الحجم إلى 45.2 عند تطعيم بولي أنيلين بنسبة 15% وزناً من السيليكا المُغلفة بأكسيد الحديد (Fe₃O₄) مُحضّرة بطريقة جيدة بشكل جيد، مما يميل إلى التمدد بشكل ثابت في تشكيل المركب المتباين المنظم. ضاقت النطاق البصري من 3.2 إلى 2.5 إلكترون فولت مع زيادة نسبة المطعّم، مما يشير …

Assessing Environmental Changes Before And After The 2018 Kilauea Eruption In Leilani Estates, Hawaii, Rokeya Akter Liza

Scholars Week

The 2018 Kilauea eruption in Hawaii significantly impacted the natural landscape, especially in the Leilani Estates region. The aim of this study was to analyze and compare the environmental conditions of before and after eruption by applying remote sensing techniques. Landsat 8 satellite imagery was used for two different time periods as before the eruption (February 2018) and after the eruption (March 2019). ERDAS Imagine was used to process these images to evaluate the changes in vegetation and land cover. The Normalized Difference Vegetation Index (NDVI) was calculated for both pre- and post-eruption images to evaluate vegetation changes. Higher NDVI …

Monitoring Of Dissolved Calcium Levels In Creeks, Embayment, And Kentucky Lake Waters In Western Kentucky, Majeda Dalloul

Scholars Week

In order to reduce the economic and ecological impacts of aquatic alien species, studies are warranted across major taxonomic groups, geographic regions, and habitat types. This study addressed the dissolved calcium levels in Kentucky Lake and their implications for one of the top-ranked invasive species, the zebra mussel, and its colonization.  Zebra mussels (Dreissena polymorpha) are well known for their “biofouling” capabilities, costing billions of dollars (for northeastern and midwestern states) in their removal from industrial, public, and power plant water supply lines. Calcium is one of the essential elements that contribute to the growth and reproduction of zebra …

Angular And Distance Estimation In Multi‑Antenna Wireless Communication Systems, Pouria Zand, Sunil Kumar

Defensive Publications Series

Precise distance estimation between a primary computing device and a pair of wireless earbuds is often limited by the unreliability of Received Signal Strength Indicator (RSSI) methods. This disclosure describes a method for a coordination framework for distance and orientation estimation using Bluetooth® Channel Sounding (CS). In this method, a secondary earbud acts as a passive listener to phase‑based ranging (PBR) exchanges between the primary device and a primary earbud. By sharing configuration parameters (e.g., timing and pseudorandom seeds) the secondary earbud sniffs signal exchanges to enable the primary device to mathematically calculate secondary distance measurements. Additionally, dual‑band operation is …

Verifying Mutations In Arabidopsis Thaliana Gene Apetala3, Michelle Wang, Tara Phelps-Durr, Hazel Frans

SACAD: Scholarly Activities

The purpose of this research is to verify the mutation in the Arabidopsis thaliana APETALA3 (AP3) gene. By sequencing DNA, we confirmed the presence of an extra guanine in the mutant AP3 gene. These findings support that further investigation is needed into how the AP3 gene affects flower development in Arabidopsis thaliana.

Recognition For Banana Ripeness Based On Improved Yolov 11n, Hu Lirui, Wang Jiaxing, Hu Zekun

Food and Machinery

[Objective] To improve the efficiency of recognition for banana ripeness. [Methods] A method for recognizing banana ripeness is developed based on improved YOLOv 11n. A modified polarized self-attention mechanism is introduced into YOLOv 11n to enhance the feature extraction capability of the backbone network across various banana distribution scenarios. The original upsampling is replaced with a module of content-aware reassembly of features, which enlarges the receptive field to more effectively aggregate contextual information. Scylla intersection over union (SIoU) is adopted as the new bounding box loss, which calculates the vector angle between ground truth and predicted boxes to better address …

Thermoacoustic Effects Of A Variable Equivalence Ratio In A Single Element Methane Combustor, Carter Green

Doctoral Dissertations and Master's Theses

Combustion instability is one of the leading factors in limiting the progress and innovations of liquid rocket engines and power plants. Under certain operating conditions, unsteady heat release and acoustic wave interactions can couple and lead to instabilities, such as self-sustaining pressure oscillations, that can lead to reduced combustor performance and potentially hardware damage. In this project, the thermoacoustic effects of controlling the equivalence ratio of a single-element natural gas combustor were modeled and analyzed. The project used Fidelity Pointwise for meshing, ANSYS Fluent for modeling, ERAU VEGA HPC for computing, and MATLAB for acoustic analysis. A numerical model of …

Threat-Analysis Oriented Digital Twinning Of Ml-Powered Future Autonomous Weapon Systems, Thomas Neubert

Doctoral Dissertations and Master's Theses

Warfare is undergoing a rapid transformation with the integration of artificial intelligence (AI) and machine learning (ML) into autonomous weapon systems (AWS) for perception, decision support, and control. As these systems become more software-defined, their cyber attack surface expands across sensing, communications, autonomy logic, and human-machine interfaces. As human oversight diminishes, ensuring the cybersecurity, resilience, and reliability of these systems becomes critical to mission success. This thesis investigates how a digital twin-driven threat modeling framework that integrates system-centric analysis with adversary-informed methodologies can support structured cybersecurity vulnerability evaluation and defensive strategy development associated with ML-powered AWS. First, the study analyzes …

Development And Effectiveness Of Spatial Learning Module To Enhance The Students’ Spatial Reasoning, Mathematics Problem-Solving, And Higher-Order Thinking Skills, Rizky Oktaviana Eko Putri

Student Works (2020-2029)

The primary aim of this study is to develop a mathematics learning module that utilizes spatial reasoning as an intervention for learning, which is called the Spatial Learning- Integrated Mathematics (SLIM) learning module. The SLIM learning module is expected not only to enhance the quality of mathematics education but also to support students’ spatial reasoning, problem-solving abilities, and higher-order thinking skills (HOTS). This objective is based on the understanding that teachers, as learning designers, must ensure students achieve their educational goals. Teachers should offer various forms of innovative teaching, including learning modules, enabling students not only to reach their learning …

Re: Comment Letter For Butte Priority Soils Operable Unit Draft Leak Detection Monitoring Plan (Dated February 2026), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

A Hybrid Xfem-Ml Framework For High-Fidelity, Rapid Fracture Prediction In Cortical Bone: From Microstructure To Clinical Translation, Noor T. Al-Sharify, Ammar Fadhil Hussein Al-Maliki, Ahmed Ali Farhan Ogaili, Abdul-Rasool Kareem Jweri, Alaa Abdulhady Jaber, Luttfi A. Al-Haddad

Mesopotamian Journal of Computer Science

This paper proposes a hybrid computational model, which combines the eXtended Finite Element Method (XFEM) with machine learning (ML) to forecast the fracture behavior of cortical bone while maintaining microstructural fidelity. It has created a parametric dataset of about 450 three-dimensional XFEM models of single-edge notched bend (SENB) specimens, including important μ-structure features (e.g., osteon orientation, cement line properties, interfacial connectivity, etc.). Based on these simulations, 47 quantitative descriptors were obtained, and these were used to model supervised ML models, namely, Random Forest and Artificial Neural Networks, to estimate fracture load. The Random Forest model demonstrated exceptional predictive performance (R …

Fort Hays State University Tiger Weekly, April 03, 2026, University Relations

Tiger Weekly Newsletters

No abstract provided.

The Expanding Digital Border: Ai, Surveillance, And The Fight For Justice, James Chesser

Immigration and Human Rights Law Review

As artificial intelligence transforms the mechanisms of immigration control, the modern border has become a digital filter—one governed less by geography and more by code. This Article examines the legal, technical, and ethical implications of AI-driven systems now central to global border enforcement, including biometric surveillance, algorithmic risk scoring, and predictive profiling. It explores how states use these technologies not only to manage irregular migration, but to compete for global talent—constructing migration regimes that reward capital and compliance while eroding transparency, due process, and equality.

Through an international and comparative lens, the piece highlights the expansion of algorithmic decision-making across …

Synthesis And Hydrothermal Evaluation Of Poly(Styrene Phosphonate) For Conformance Control In Geothermal Reservoirs, Sara Mccauley

Miners Solving for Tomorrow Research Conference

As atmospheric carbon dioxide levels continue to rise, geothermal energy has emerged as a promising energy alternative to fossil fuels. A barrier to widespread implementation and energy production efficiency is macro-heterogeneity of the rock matrix. Cracks, void spaces, and flow conduits divert fluid flow away from unswept portions of the geothermal reservoir and can cause cooling of the reservoir. Flow heterogeneity has been treated in oil reservoirs by injecting hydrogel particles that travel preferentially to ultra-high permeability zones and selectively block fluid flow in these regions. We are applying polymer hydrogels that withstand hydrothermal conditions of 225 up to 275°C …

Adaptive Parallel Downloader For Large Genomic Datasets, Rasman Mubtasim Swargo

Miners Solving for Tomorrow Research Conference

Modern next-generation sequencing (NGS) projects routinely generate terabytes of data that researchers download from public repositories such as SRA and ENA. Existing download tools typically employ static concurrency settings, leading to inefficient bandwidth utilization and prolonged download times under dynamic network conditions. We introduce FastBioDL, a parallel downloader for large biological datasets with an adaptive concurrency controller. FastBioDL frames downloading as an online optimization problem, using a utility function and gradient descent to adjust the number of concurrent socket streams during runtime. This approach maximizes throughput while minimizing resource overhead. Evaluations on public genomic datasets show that FastBioDL achieves up …

Introducing Gridtrees For Streaming, Scalable Hierarchical Data Visualization, Nathan Tibbetts

Miners Solving for Tomorrow Research Conference

File browsing in the consumer sphere has seen very little advancement in recent years, although attempts have been made to improve upon it. With the goal of multi-level visual file browsing in mind, we present a prototype GridTree, a dynamic, recursive, stable, spatial layout data structure based on subdividing grids, represented as a hierarchy of maps whose granularity increases with depth. We motivate this work with characteristics we have identified as important for viability of a multi-level file-browser, which have become our design goals. We touch on the underlying logic of a GridTree and identify its complexity. We briefly discuss …

Thermal Mirage: Towards Robust Thermal Perception Via Gan-Guided Diffusion, Nuzaer Omar

Miners Solving for Tomorrow Research Conference

Thermal object detection systems are critical for safety sensitive applications due to their reliability under adverse conditions. However, existing robustness evaluations in thermal domain primarily focuses on physical or sensor-level perturbations, overlooking vulnerabilities from semantically realistic scene and object manipulations. We introduce Thermal Mirage, a generative framework that leverages GAN-guided diffusion to expose weaknesses in thermal detectors through controlled object and context level perturbations. Our approach learns class-conditional thermal priors via a GAN and uses diffusion to transform object appearances into ambiguous or low-saliency patterns. Simultaneously, a context module degrades scene conditions by simulating harsher night environments. Integrated with a …

Robust Federated Learning With Strategic Adversaries, Manoj Twarakavi

Miners Solving for Tomorrow Research Conference

Federated Learning (FL) leverages the intelligence of untrusted distributed devices through collaborative training. This makes the training process susceptible to malicious behavior. Existing defense mechanisms largely consider an adversary who attacks a proactive FL server without any adaptability. However, they overlook the presence of a strategic adversary. To address this challenge, our work proposes a Robust Game-theoretic framework where the adversary is both strategic and is equipped with the capability of performing large-scale poisoning attacks.

Harnessing Wavefront Shaping Control For Sensing Applications, Pablo Jara

Miners Solving for Tomorrow Research Conference

Diffuse optical tomography (DOT) and functional near-infrared spectroscopy (fNIRS) enable deep, non-invasive sensing in biological tissue but are fundamentally limited by the photon budget - most injected light is lost to scattering before reaching the detector. Wavefront shaping (WFS) can enhance signal strength inside scattering media via interference, but the conventional diffusion-based sensitivity model breaks down under coherent illumination. We develop a microscopic theory of optical sensitivity that captures interference effects neglected by diffusion theory. We prove analytically that the microscopic and diffusive descriptions coincide under random illumination and identify WFS strategies that enhance sensitivity beyond this limit. The maximum …

Variational Data Assimilation With Steepest Descent Method For Coupled Time-Dependent Stokes-Darcy Model With Bjsj Interface Condition, Yafang Hei

Miners Solving for Tomorrow Research Conference

Variational data assimilation (VDA) determines the initial condition of a dynamical system by minimizing the mismatch between model predictions and observed data. This work studies VDA for the time-dependent Stokes–Darcy system with the BJSJ interface condition. The problem is formulated as a PDE-constrained optimization problem, and the first-order optimality system is derived using the Gâteaux derivative and adjoint variables. A steepest descent method is applied for efficient computation. Spatial and temporal discretizations are carried out using the finite element method and backward Euler scheme, respectively. Numerical results confirm accuracy and convergence.

Dispersive Shock And Rogue Waves In Two-Dimensional Quantum Droplets, Farhana Bristy

Miners Solving for Tomorrow Research Conference

Quantum droplets, are liquid type configurations stabilized by the balance between attractive mean-field interactions and repulsive quantum fluctuations. They provide highly flexible platforms for the quantum simulation of hydrodynamic phenomena using ultracold gases. Here, we explore the nonlinear quantum dynamics of two-dimensional quantum droplets under Riemann initial conditions. The steepness of the latter facilitates the emergence of radially symmetric dispersive shock waves (DSWs) when quantum fluctuations dominate. In particular, the ensuing DSWs travel from the potential edges toward the center where they collide and through their interference high amplitude spatially localized rogue wave structures emerge. In contrast, tuning the interactions …

Distributed Control Plane For Cross-Silo Federated Learning, Rabin Pandey

Miners Solving for Tomorrow Research Conference

Cross-silo federated learning (FL) trains shared models across geographically distributed institutions without centralizing raw data, but its reliance on wide-area networks makes round completion time highly sensitive to heterogeneous link conditions, congestion, and straggler clients. Existing SDN-based FL frameworks address this through centralized traffic engineering, an approach that breaks down when silos span independent administrative domains where no single entity can maintain complete, timely network knowledge. We replace the centralized control plane with a fully distributed overlay in which each silo gateway operates as an equal peer, continuously probing local links, exchanging EWMA-smoothed metrics via bounded gossip, and computing least-cost …

Transition Metal Chalcogenide As Multifunctional Biosenser To Detect Neurochemicals, Amitav Sen

Miners Solving for Tomorrow Research Conference

The development of highly sensitive real-time sensing platforms for selectively detecting dopamine (DA) and norepinephrine (NE) is of significant clinical importance since these are closely associated with several neurodegenerative disorders. Herein, we report copper telluride (Cu₂Te) nanostructure as a bifunctional electrocatalyst for the simultaneous detection of dopamine and norepinephrine. Cu₂Te exhibits excellent electrocatalytic activity toward both DA and NE oxidation, as demonstrated by detailed electrochemical measurements. High sensitivities of 24 and 40 µA cm⁻² µM⁻¹ for DA and NE, respectively, were obtained with a wide linear detection range of 10–200 nM and low limit of detection (LOD), 31 nM for …

Leveraging Artificial Intelligence For Transformative Education: Challenges And Recommendations, Papia Bawa

Journal of Research Initiatives

The sheer force with which GPT models are inundating business, education and economic fields speaks to its ability to not only transform the ways in which we interact and act but also disrupt these ways. This systematic literature review applies the PSALSAR method to synthesize findings from 72 articles on AI applications in education, emphasizing its transformative potential across various domains. AI is transforming personalized learning by customizing content and feedback to individual needs, addressing challenges like data privacy and ethical concerns. It enhances administrative efficiency through automation and data-driven decision-making, improving institutional performance while managing biases and maintaining human …

Application Of The Tridiagonal Representation Approach And The J Matrix Method Of Scattering In Theoretical Physics, Tunde Joseph Osunmusanmi

Thesis/ Dissertation Defenses

This dissertation investigates the application of the Tridiagonal Representation Approach (TRA) to linear systems and introduces, for the first time, an extension of the J-matrix method of scattering to nonlinear phenomena. The TRA provides an algebraic framework for solving second-order linear ordinary differential equations by combining algebraic structure with the analytical properties of orthogonal polynomials and special functions. Computationally, the method benefits from efficient numerical techniques for tridiagonal matrices. Within the TRA, solutions of differential equations, including the Schrödinger equation, are expressed as convergent expansions in square-integrable basis functions chosen to yield a tridiagonal representation of the differential operator. This …