Digital Commons Network^™

Ur-166-204 Multi-User Stem Learning Experience Powered By Llm Conversational Agents, Devon Haynes, Chance Boecker, Oliver Haggard

C-Day Computing Showcase

While Extended Reality (XR) provides experiential and interactive foundations for STEM education, current storytelling and narrative-driven applications often lack responsive nonplayer characters (NPCs), limiting interactive potential through pre-scripted stories. Additionally, despite the growth of Large Language Model (LLM) integration in XR, limited research explores the combined use of multi-user XR systems and conversational Artificial Intelligence (AI) to facilitate real-time, adaptive instruction. This project seeks to address these gaps by 1) Developing a narrative-driven STEM learning XR prototype that incorporates synchronous multi-user interaction and an embedded LLM-driven conversational agent and 2) Exploring the effectiveness of combining these technologies to improve learning …

Grp-01-196 Topological Drift Predicts Epidemic Instability, Charles Fanning

C-Day Computing Showcase

We study whether changes in contact-network topology predict transitions into high-risk epidemic periods across several classical empirical proximity network datasets. We use temporal graph learning with persistent homology-based topological signals and evaluate large-outbreak risk using SIR simulations to test whether topological drift serves as an early warning signal for epidemic instability.

Grp-148-223 Uncertainty-Guided Conservative Propagation For Robust Coronary Artery Segmentation, Huan Huang, Chen Zhao

C-Day Computing Showcase

Coronary artery segmentation plays a key role in cardiovascular disease analysis, yet existing methods often produce fragmented and structurally inconsistent vessels in challenging regions. We propose an uncertainty-guided conservative propagation (UGCP) framework that improves segmentation reliability by allowing high-confidence regions to guide uncertain ones through controlled information propagation under a conservation principle. This mechanism enhances structural continuity while preventing unstable updates. Experiments on Coronary CT Angiography (CCTA) and Invasive Coronary Angiography (ICA) datasets demonstrate improved segmentation accuracy and topology preservation. Additional evaluations on other vascular datasets further suggest the generalizability of the proposed approach.

Grm-157-180 Precision Engineering: Using Ai To Design Nanoparticles That Target Malignant Cells, Rakshak Gurung, Nino Tkabladze

C-Day Computing Showcase

The challenge of predicting nanoparticle distribution remain a significant hurdle in nanomedicine. This research presents a computational framework for the inverse design of nanoparticles, utilizing ML models to optimize drug delivery systems for tumor targeting. By analyzing the relationship between nanoparticle compositions and biological accumulation, the model identifies optimal configurations to maximize therapeutic efficacy. The results demonstrate that AI-driven inverse design can significantly streamline the development of precision nanocarriers, reducing the need for exhaustive experimental trials.

Spot Scanning Proton Beams Characterization Via Plastic Scintillator Detector, Saad Bin Saeed Ahmed

Electronic Theses and Dissertations

In spot scanning proton therapy, the machine steers magnetically a narrow pencil beam across the target volume, delivering highly conformal dose distributions layer by layer. As beam size is very small, this introduces a dosimetry problem. The beam is dynamic and the dose gradients are steep — conditions that push conventional ionization chambers beyond their reliable operating range. Plastic scintillation detectors offer a potential solution. Their sub-millimeter active volumes avoid the volume-averaging effects over larger chambers, and their very high temporal resolution making real-time monitoring feasible. This thesis characterizes the Blue Physics plastic scintillation detector in spot scanning proton fields …

Graph Theoretical Modeling Of Self-Assembling Dna Of The Double Cone Graph, Philiffe Tebalan, Evan Burns

Rose-Hulman Undergraduate Mathematics Journal

The unique properties of double-stranded DNA molecules make DNA a valuable structural material with which to form nanostructures, and the field of DNA nanotechnology is largely based on this premise. By modeling nanostructures with discrete graphs, efficient DNA self-assembly becomes a mathematical puzzle. These nanostructures have wide-ranging applications, such as containers for the transport and release of nano-cargos, templates for the controlled growth of nano-objects, and in drug-delivery methods. This research centers around exploring graph theoretical and combinatorial properties of DNA self-assembly to optimize the nanostructure construction for the Double Cone Graph.

A Masked-Perturbation Model For Destabilization Security Games In Feedback Systems, Gabriel Michael Perry

Theses and Dissertations

In this thesis, we present a mathematical formulation for increasing cyberphysical system security. This model allows a system administrator to use assumptions about exposed signals to derive defense strategies meant to mitigate the system's vulnerability to feedback perturbation attacks. We begin with a survey of game theory with the goal of building the concepts of resource and security games. We then introduce our model, which is a security game; targets in this game are exposed signals in the model map of the system, and resources are perturbed or introduced dynamical relationships between these signals. This formulation, called the masked-perturbation model, …

Vanadium’S Journey From Essential Trace Metal To Emerging Environmental Pollutant In The Anthropocene Era, Tanu Arora, Nivedita Agnihotri, Mohammad Azam

Turkish Journal of Chemistry

Vanadium, previously considered a minor trace element, is gaining global environmental attention due to its expanding applications in metallurgy, energy storage, catalysis, and agriculture. With this rise in its industrial and technological uses, however, anthropogenic emissions of vanadium into the atmosphere, soils, and water bodies have also escalated. Unlike many heavy metals, vanadium exhibits complex redox behavior, primarily existing as V(IV) and V(V) species, which significantly impacts its environmental mobility, bioavailability, and toxicity. Vanadium exhibits complex behavior that necessitates an integrated research approach to better understand its various roles in scientific fields. This review summarizes the current knowledge on vanadium’s …

Investigation Of The Enzyme-Inhibitory, Antibacterial, And Anticancer Properties Of Metal Phthalocyanines, Meryem Topal, Fevzi̇ Topal, Firat Yilmaz, Esra Bulut Atalay, Ümi̇t Muhammet Koçyi̇ği̇t, Emre Güzel

Turkish Journal of Chemistry

In this study, the enzyme inhibitory, antibacterial, and anticancer activities of a phthalonitrile derivative and its metal phthalocyanines (Pcs; indium, zinc, copper, cobalt, and manganese; 1–6) were investigated. The cobalt and manganese Pcs were synthesized for the first time in this study. The inhibitory activities of the symmetric Pcs, which were expected to interact with acetylcholinesterase (AChE) and butyrylcholinesterase (BChE) via their 4-(isopropylbenzyl)oxy substituents through host–guest interactions, were investigated. More selective inhibition of AChE than BChE was observed for these compounds. For AChE, CoPc was identified as the most potent inhibitor (IC50 = 14.81 nM), whereas for BChE, InPc was …

Nucleophilic Cyclization Of N-Propargylated Pyrazole-5-Carboxylates: Synthesis Of Pyrazolo[1,5-A]Pyrazin-4(5h)-One Derivatives, Meli̇k Firat Mengeş, Meltem Tan Uygun

Turkish Journal of Chemistry

Cyclization reactions are among the most important and widely used methods for synthesizing biologically active fused heterocyclic compounds. In the present study, pyrazolopyrazinone derivatives (10a–i) were synthesized from N-propargylated pyrazoles via nucleophilic cyclization with hydrazine hydrate under a nitrogen atmosphere. Nuclear magnetic resonance (NMR) spectral analyses confirmed that ring closure proceeded in a manner consistent with the formation of a six-membered pyrazinone moiety. In addition, the pyrazolotriazepinone derivative 15c was synthesized using an alternative approach. In this method, substitution with chloroacetone was first carried out, followed by ring closure with hydrazine hydrate, affording a seven-membered triazepinone system. Comparison of the …

The Synthesis And Evaluation Of Thioxothiazolidin-4-One Compounds As Pim Kinase Inhibitors, Kelly Malzewski

Master's Theses (2009 -)

The Proviral integration site for Moloney Murine Leukemia virus (PIM) kinases belongs to the family of serine/threonine kinases consisting of three isoforms; PIM1, PIM2, PIM3. PIM kinase is involved in multiple cellular processes through the phosphorylation of several proteins within the JAK/STAT pathway, leading to cell proliferation, apoptosis inhibition, cell migration, transcription, and energy metabolism. However, disruption or overexpression of PIM within the cycle can have negative, tumorigenesis effects with increased fatality rates. Currently, there are no FDA approved PIM kinase inhibitors available for specific cancer target therapies, despite the growing need and high demand research interests. It is widely …

Model Unification: A Systematic Approach For The Cluster Expansion, Kolten Barfuss

Theses and Dissertations

A systematic approach for model unification of cluster expansion models is developed and demonstrated. The method builds on previous work with the Manifold Boundary Approximation Method (MBAM) to identify supremal models. The work is motivated by the exercise of unifying cluster expansion models – characterized by Π matrices – for two binary alloys that share one atomic species to form a model for the ternary alloy. The result is the Supremal Π Algorithm, a systematic unification algorithm that relies on an MBAM-informed understanding of models and on the singular value decomposition. The algorithm yields ΠΛ, a Π matrix for the …

Histopathology Image Classification Using Machine Learning, Mohammed H. Alali

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Histopathology image classification is a critical component of cancer diagnosis. However, the gigapixel scale of Whole-Slide Images (WSIs) and the high variability in tissue staining and scanner quality across medical centers present significant computational challenges. This dissertation proposes a comprehensive machine learning framework to address these challenges, bridging the gap between theoretical models and practical clinical deployment.

First, to manage the massive dimensionality and noise inherent in WSIs, this research develops a robust feature extraction methodology. The pipeline implements a stringent tile filtering technique to eliminate physical artifacts and resolve severe class imbalances. It integrates ConvNeXt alongside an attention-based pooling …

Computational And Experimental Analysis Of Oleanolic Acid As An Allosteric Activator Of Sirt1, Emrah Sariyer, Eda Dokumacioğlu, Hati̇ce İskender

Turkish Journal of Chemistry

Sirtuin 1 (SIRT1) is a member of the sirtuin protein family and the biological effects of SIRT1 encompass various areas such as the ageing process, metabolism regulation, and cellular stress response. SIRT1 activators are compounds that enhance the activity of SIRT1 enzyme. These activators can be natural or synthetic compounds and have the potential to provide health benefits by augmenting the biological effects of SIRT1. Oleanolic acid (OA) is a triterpenoid compound that has antiinflammatory, antioxidant, and glucose and lipid metabolism-regulating properties naturally found in many plants. The aim of the present study was to investigate the effect of OA …

Templating Effect Of Neutral Dithiane Ligands On The Self-Assembly Of Cationic Au(I)-Phosphine Units, Farzane Osanlou, Abdollah Neshat, Mohammad Reza Yousefshahi, Vaclav Eigner, Michal Dusek, Shahram Seidi

Turkish Journal of Chemistry

The interactions between the dinuclear Au(I) precursor (dppm)Au2Cl2 and neutral sulfur-containing dithianes (specifically 1,3- and 1,4-dithiane) were examined in the presence of NH₄PF₆. Although these sulfur-based ligands were initially employed to facilitate the formation of mixed phosphine/sulfur Au(I) complexes, single-crystal X-ray diffraction analysis revealed the unexpected generation of multinuclear Au(I) assemblies exclusively coordinated by phosphine ligands. When 1,3-dithiane was present, a trinuclear Au(I) complex was isolated, characterized by a central four-coordinate Au(I) center exhibiting a distorted see-saw geometry, flanked by two terminal Au(I) centers with T-shaped coordination environments. Importantly, the dithiane ligand did not coordinate directly to the gold centers …

Sensitive Stripping Voltammetric Determination Of An Anthracene–Isatin Schiff Base In Biological Samples, Gökçe Öztürk, İrem Gökgöz, Emi̇ne Arslan, Eli̇f Şi̇şman, İnci̇ Seli̇n Doğan, Di̇lek Kul, Fatma Ağin

Turkish Journal of Chemistry

​In the present study, the electrochemical behavior and quantitative determination of the Schiff base 3-[(anthracen-2-yl)imino]-5-nitro-1,3-dihydro-2H-indol-2-one (ANT) were investigated for the first time using voltammetric techniques at a glassy carbon electrode. The effects of solvent composition, pH, and scan rate on the redox behavior of ANT were systematically evaluated. The compound exhibited an irreversible oxidation process governed by adsorption-controlled kinetics. Quantitative analysis was conducted using differential pulse stripping voltammetry (AdS-DPV) and square-wave stripping voltammetry (AdS-SWV) under optimized conditions. Both methods exhibited linear responses over the concentration range of 0.2–8.0 μM, with limits of detection of 0.0366 μM and 0.0433 μM for …

Robust Thermodynamic Analysis Of Flexible Protein-Ligand Binding Using Statistical Mechanics, Mitchell Dulaney

Create@State

Understanding how proteins bind small molecules is essential for accurate computational modeling of biological systems. However, calculating binding free energy (delta G), enthalpy (delta H), and entropy (delta S) becomes unreliable when proteins are flexible, and ligands are between multiple binding positions. This motion causes traditional computational methods to produce inconsistent thermodynamic values.

A computational workflow was implemented that included docking to predict likely binding positions, molecular dynamics simulations to sample how the protein and ligand move over time, and statistical mechanics analysis to calculate thermodynamic quantities. A new theoretical framework was developed and implemented in a custom program to …

Synthesizing Fluorescent 3,4-Dihydropyrimidin-2(1h)-Ones Using A One-Pot Synthesis Reaction, John R. Griggs

Create@State

In medical and pharmaceutical practices, Biginelli (3,4-dihydropyrimidin-2(1H)-ones) products have a number of potential uses due to their anticancer and anti-inflammatory properties.  In addition, they are a possible treatment for acquired immunodeficiency syndrome (AIDS). These compounds can be further modified to exhibit fluorescent properties. However, before using them in medicinal studies, it is useful to establish a procedure that can easily be modified and is synthetically accessible to allow for further optimization. The experiment was performed using the Biginelli compounds as a substrate, along with a variety of aromatic aldehydes and acids. After obtaining the products and purifying them with vacuum …

Synthesis And Characterization Of Thiazole Derivatives As Potential Antitumor Agents, Kaylee Leddy

Create@State

Melanoma is the 5th most common cancer in both men and women in the USA. It originates in melanocytes, which make the melanin pigment that gives skin its color. While treatable in early stages, melanoma becomes nearly incurable once metastasized. Thiazole derivatives have been recognized in many pharmaceutical classes including anticancer, antimicrobial, antimalarial, anti-tuberculosis, and diuretics. They have long been researched for their natural pharmacological properties and have shown potential to inhibit melanoma cell growth. In this study, catechol-substituted thiazole derivatives were synthesized using the Hantzsch-Thiazole synthesis. A total of 13 novel compounds were made using 2-chlorodihydroxyacetophenone with various catechol-substituted …

Understanding The Relationship Between Morphometric Indices Of The Eleven Point River And Sediment And Nutrient Transport, Karimot Shobowale, Jennifer Bouldin

Create@State

Objective: To evaluate how watershed characteristics impact sediment transport and water quality parameters.

Inc3vits Model: A Hybrid Architecture To Accelerate And Reduce Complexity For The Deepvariant Model For Variant Calling, Mustafa Al-Saffar, Sura Z. Al Rashid

Karbala International Journal of Modern Science

Deep learning has revolutionized genomic variant calling, yet the computational cost of current systems continues to limit scalability. We present a controlled efficiency study of DeepVariant-style pileup architectures under identical training and inference conditions, comparing architectural downsizing with a hybrid CNN–local attention design. Inc3ViTs pairs a streamlined InceptionV3 stem with a lightweight local attention head based on patch tokenization and windowed self-attention, enabling a direct comparison with a CNN-only reduced Inception baseline. Across whole-genome and whole-exome short-read datasets, Inc3ViTs reduces training time by ~40–50% and reduces inference runtime relative to the original DeepVariant. The CNN-only baseline indicates that most speedups …

Swosu Research And Scholarly Activity Fair 2026, Swosu Office Of Sponsored Programs

SWOSU Research and Scholarly Activity Fair Programs

On behalf of the University Research and Scholarly Activity Committee (URSAC) and the Office of Sponsored Programs (OSP) at Southwestern Oklahoma State University, we are pleased to welcome you to the Thirty-Fourth SWOSU Research and Scholarly Activity Fair.

Uptake And Fate Of Silver And Zinc Engineered Nanoparticles In Maize Under Single And Binary Dosing Soil Ecosystems, Lei Xu, Qingbo Yang, Xingmao Ma, Honglan Shi, John Yang, Hu Yang, Samira Mahdi, Ying Wang, Young Shin Jun

Chemistry Faculty Research & Creative Works

Recent agricultural applications of engineered metallic nanoparticles (ENPs) have raised concerns about their uptake and fate in plants. To understand this critical issue, this study investigated the fate and uptake of silver (Ag) and zinc oxide (ZnO) ENPs in maize (Zea mays L.) after single or binary ENP exposure in soil. Results indicated that both Zn and Ag elemental concentrations in roots increased with increasing ENP dosage. Ag NPs in the tissues were detected, but not Zn NPs. Ag NP concentration was 3 times higher in the roots than in the shoots at low Ag NP dosing, while Ag NP …

Impact Of Climate Change On Agricultural Production In The North China Plain And Adaption Strategies, Yanjun Shen, Ying Guo, Chuanwei Zhang, Yaning Chen

Bulletin of Chinese Academy of Sciences (Chinese Version)

Over the past century, global warming has posed significant challenges to the North China Plain (NCP), a core region for grain production, where resource-induced water scarcity now coincides with complex meteorological disasters. In recent years, the NCP has exhibited new climatic characteristics, notably the transition from a “warm-dry” to a “warm-wet” pattern accompanied by asymmetric warming, leading to an increased frequency of extreme events such as droughts, abrupt dry-flood alternations, and temperature extremes. These shifts pose a grave threat to regional grain stability. Currently, critical gaps remain in the understanding of the underlying disaster mechanisms, as well as in predictive …

Accelerating Marine Science And Technology Innovation Under Great Power Competition: Challenges And Recommendations, Qingbin Guo, Yongsha Xiong, Shifang Sun

Bulletin of Chinese Academy of Sciences (Chinese Version)

Against the backdrop of intensifying great-power competition, the core issues of global technological competition and cooperation are increasingly converging on the marine domain. The oceans are progressively becoming a critical strategic sphere for national development and security. At present, China is steadily advancing towards its goal of becoming a maritime power, achieving historic leaps in technological innovation such as shipbuilding and deep-sea exploration. Nevertheless, the path ahead for China’s marine science and technology innovation will inevitably face severe international circumstances and competition from established global maritime powers. Based on a review of global and Chinese progress in marine science and …

Construction Of China’S Marine Protected Area System In 15th Five-Year Plan, Ke Duan, Danhong Chen, Keqiang Li, Limin Han, Zhengyan Liu, Dongliang Lu, Xiulin Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The establishment of the marine protected area (MPA) system constitutes a critical component of the national initiative to comprehensively advance the development of a nature reserve system centered on national parks. This study explores on domestic and international development trends from aspects such as conservation strategies, international policies, high seas protection, and development trends. It also sorts out and analyzes the construction status of marine protected area systems in China and the United States. Centering on issues in China related to spatial layout, management systems, policies and laws, scientific research support, high seas governance, and land-sea management, the study puts …

The Impact Of State And Federal Policies On Academic Researchers: Findings From A National Survey, Dylan Ruediger, Chelsea Mccracken, Jonathan Barefield

Copyright, Fair Use, Scholarly Communication, etc.

Key findings

● State and federal policies targeting divisive concepts or DEI are shaping research agendas at scale and across disciplines. Twenty percent of all respondents, and 29 percent of researchers working in states with divisive concepts or similar laws, reported having avoided certain research topics because of state laws and policies.

● Eight percent of respondents representing a wide range of disciplines reported having had a federal grant cancelled in 2025.

● Eleven percent of respondents reported that federal and state policies restricting research activities are compelling them to seek employment out of state, to leave the academy, or …

Impacts Of Climate Change On Agricultural Production And Adaptation Strategies In Northeast China, Ming Jiang, Aizhen Liang, Peng Qi

Bulletin of Chinese Academy of Sciences (Chinese Version)

As the “stabilizer” of national food security, Northeast China is highly sensitive to climate change. Over the past 60 years, the regional temperature has risen significantly at a rate of 0.034℃/a, which is much higher than the global average of 0.0074℃/a. The improvement of thermal resources has driven a significant northward expansion of high-yield and heat-demanding crops, such as maize and rice. Nevertheless, increased warming has enhanced evapotranspiration demand, which, combined with the expansion of planting scales, has led to a 19.8% increase in agricultural irrigation water consumption over the past 20 years, resulting in a prominent contradiction between supply …

Fairhiveframes-1k: A Public Fair Dataset Of 1265 Annotated Hive Frame Images With Preliminary Yolov8 And Yolov11 Baselines, Vladimir Kulyukin, Reagan Hill, Aleksey Kulyukin

Computer Science Faculty and Staff Publications

In precision apiculture, the portable digital camera is a cost-effective sensor for capturing hive images or videos used to quantify different colony variables. Openly accessible, well-annotated, interoperable cell-level image datasets are still the exception rather than the norm. This shortage constitutes a major barrier to AI-driven approaches aimed at automating image-based comb analysis. In this article, we present FAIRHiveFrames-1K, a publicly available dataset of 1265 annotated hive frame images (1920 × 1080 PNG) designed to facilitate research in AI-intensive image-based comb analysis automation. The dataset, derived from a 2013–2022 U.S. Department of Agriculture–Agricultural Research Service multi-sensor research reservoir, includes 124,669 …

The Digital Neuron: Neural Cellular Automata For Neural–Symbolic Translation, Nicole Assenza

SMU Data Science Review

A neural cellular automata (NCA) architecture, referred to as Pluto’s NCA, was developed to characterize bilateral communication and semantic reciprocity between symbolic representations and a spatially distributed update field. The architecture employs an encoder–automata–decoder pipeline that maps symbolic inputs into a multichannel state field and reconstructs them through agreement-driven attractor convergence within a stable semantic attractor landscape. System behavior was evaluated under controlled perturbations, including rhythmic desynchronization, graded ablations, correlated and independent noise, and percolation-based structural degradation. Quantities such as Agreement(t), internal coherence Aᵢ(t), the recovery time constant τ, and the critical percolation threshold pc were measured to assess stability, …