Digital Commons Network^™

A Systems Analysis Of Autonomous Uav Swarm Spraying For Precision Agriculture, Ryker Davis

Graduate Theses and Dissertations

The application of Unmanned Aerial Vehicles (UAVs) in civilian sectors, particularly for precision agriculture and targeted aerial spraying, has rapidly evolved from passive monitoring to advanced, autonomous, multi-agent coordination. While deploying UAV swarms offers a promising solution to the payload and battery endurance limitations of single drone operations, realizing field-scale coverage introduces significant logistical and safety challenges. To evaluate the trajectory and viability of swarms, this study synthesizes bibliometric trends, operational simulation, and safety reporting analysis. First, because physical testing of complex swarms poses financial and safety risks, we developed an agent-based and discrete event simulation to evaluate autonomous spraying …

Design And Modeling Of A Robotic Manipulator For Agricultural Explorations, Trent Thomas Powell

Graduate Theses and Dissertations

This thesis focuses on the modeling, design, and early testing of a spherical revolute revolute prismatic (RRP) robotic manipulator for probe based applications. The system is motivated by agricultural grain probing, where a probe is positioned over a truck bed and inserted into the grain to collect samples as trucks enter storage facilities, ports, hubs, or transfer points. A spherical RRP configuration is useful for this type of task because it provides a large accessible workspace while maintaining a relatively simple mechanical structure. A model based design approach is used to develop the system, beginning with forward and inverse kinematics …

Monitoring And Short-Term Forecasting Of Atmospheric Air Pollutants Using Deep Neural Networks, Prasanjit Dey

Dissertations

Accurate forecasting of near-surface atmospheric air pollutants such as PM2.5, NO2, SO2, CO, and O3 remains a critical scientific and societal challenge. This difficulty arises from several factors, including nonlinear pollutant dynamics, sparse ground monitoring net works, heterogeneous satellite observations, and strong cross-pollutant interdependencies. Substantial advances have been achieved in temporal deep learning, probabilistic modeling, satellite-based estimation, physics-informed methods, and foundation models. However, these paradigms have largely evolved in isolation. As a result, existing systems are often station-dependent or pollutant-specific and optimized for a single forecasting task. This limits their robustness and generalizability across regions and heterogeneous data regimes.

This …

Improved Pbs Algorithm For Multi-Agent Path Planning Based On Conflict Guidance And Punishment Mechanism, Jinbao Zhang, Jianlin Mao, Chengze Qian, Guimi Sun, Kaixin Tong

Journal of System Simulation

Abstract: To address the bottleneck in which the priority-based search (priority-based search, PBS) algorithm for multi-agent path planning easily falls into conflict loops and generates invalid node expansions in complex scenarios, an improved algorithm based on conflict guidance and a punishment mechanism (improved PBS multi-agent path finding algorithm based on conflict guidance and punishment mechanism, CGP-PBS) was proposed. A conflict-guided node expansion mechanism was constructed; in high-level search, it comprehensively evaluated path cost and the number of conflicts, preferentially expanded child nodes with high potential for conflict resolution, and delayed the expansion of high-conflict nodes, thereby effectively compressing the search …

Nitrogen Use Efficiency Of Rice Expressing Arabidopsis Thaliana Dreb1a Gene, Yanis Anetha Vasquez Valdes

Graduate Theses and Dissertations

Rice is a globally consumed crop and feeds more than half of the world’s population. Nitrogen (N) fertilization is required for increasing rice crop production and yield, but producers often overuse N fertilizers, exceeding plant uptake capacity. Around 40% of the applied N is lost through volatilization and denitrification to the environment, causing algal bloom formation, greenhouse gas emissions, and water pollution. Therefore, improving nitrogen use efficiency (NUE) in rice has become a principal objective to achieve sustainable agriculture. NUE is a complex trait in rice that coordinates three processes: nitrogen uptake, transport and assimilation, which together support photosynthesis, biomass …

Evaluation Of Thresholds For Adult Tarnished Plant Bug, Lygus Lineolaris (Beauvois), In Thryvon® Cotton, William Anderson Fletcher

Graduate Theses and Dissertations

Tarnished plant bug (TPB) is the most economically damaging insect pest of Mid-South cotton. TPB reduces yield is reduced by damaging squares, terminal growth, and small bolls, resulting in reduced yield. Currently, cotton grown in the Mid-South averages 1-6 insecticide applications per year for control of TPB. The introduction of ThryvOn® cotton technology provides a new management strategy for TPB control. ThryvOn® technology produces the Bacillus thuringiensis (Bt) protein Mpp51Aa2, which has insecticidal activity on TPB. A field study was conducted at five locations in 2024 and seven locations in 2025 across the Mid-South to evaluate different threshold levels for …

Review And Experimental Demonstration Of The Concrete Maturity Method For Early Opening Of Arkansas Pavements, Chase Dykema

Graduate Theses and Dissertations

Many Department of Transportation (DOT) specifications across the United States require a minimum time to gain strength for concrete pavements before they can be opened to construction equipment or traffic. This period is anywhere from three to seven days. However, concrete pavements can often be opened earlier as long as a minimum required strength is attained. With the development of modern pavement mixes, this strength can often be achieved well before the required curing period has passed. Allowing contractors to open pavements earlier increases construction efficiency. One nondestructive method of proving a pavement has achieved the required strength is the …

A Proposed Typology Of Nos Empirical Research: Trends And Implications, Maryam Saberi, Noushin Nouri, William F. Mccomas

Teaching and Learning Faculty Publications

Nature of Science (NOS) is a vital school subject with extensive publication record including results from many empirical investigations. This project examined the range, nature, and trends in empirical NOS studies from six major science education research journals over a recent 25-year period with additional recent data. Using systematic literature review techniques (SLR) and subsequent qualitative methods, we developed a comprehensive typology of empirical NOS articles. Ten categories emerged: Teaching NOS to students; Teaching NOS to teachers; Teachers’ NOS classroom practices and knowledge transfer; NOS assessment development and application; Analyses of textbooks and science curricula; Relationships between NOS knowledge and …

Analysis Of Inhibitor Supply Control Systems To Prevent Hydrate Formation In A Low-Temperature Gas Separation Unit And A Method For Solving The Problem, Shakhzod Nurmuhammadovich Amirov Mr, Erkin Xxx Uljayev

Technical science and innovation

The article examines and analyzs patents, published scientific works, and currently used scientific and practical methods and devices for regulating the parameters of the low-temperature separation process in production. However, the conducted analysis showed that one of the main causes of hydrate formation in the device is the lack of continuous comprehensive control over parameters such as the pressure of the inhibitors supplied to the injectors at each stage and the moisture content of the total gas, i.e., the moisture content of the total gas at the system inlet, the gas temperature at the device outlet, and the pressure and …

Understanding How Fire Impacts Soil Carbon And Nutrient Cycling: Toward Standardized Reporting Of Fire Metrics For The Integrated Plant-Soil System, Julia B. Gaudinski, Kate Wilkin, Jasquelin Peña, Mary Ellen Miller, Margaret S. Torn

Faculty Research, Scholarly, and Creative Activity

Fire events impact soil carbon (C) and nutrient stocks immediately due to combustion of biomass and organic matter and set up additional post-fire changes to ecosystem inputs and losses. The literature on this topic is expanding rapidly as large and intense wildfires are increasingly affecting communities globally. However, many of these studies do not describe initial post-fire soil conditions adequately or consistently, nor do they link the impacts of fire on C and nutrient cycling to key soil properties and soil inputs, stocks and fluxes. Here we conduct a systematic analysis of 56 review- papers published in 2010 or later …

Towards Reliable Large Language Models For Cyber Threat Intelligence, Md Tanvirul Alam

Theses

Cyber Threat Intelligence (CTI) helps security analysts respond to evolving threats, but the evidence it draws on is often scattered across noisy reports, advisories, and threat descriptions. Large language models (LLMs) provide a flexible interface for security analysis, yet reliable use requires grounding their outputs in source evidence, domain schemas, and CTI standards. We address this problem through structured threat representation, task-specific evaluation, and verifier-guided post-training. First, we study how unstructured CTI reports can be converted into structured threat knowledge. We develop an ontology-guided extraction framework that normalizes attack patterns, extracts typed entities and relations, and constructs a threat intelligence …

How Cultural Homogeneity Couples With Organizational Climate In Public School Environments, Steven R. Peterson

All-Inclusive List of Electronic Theses and Dissertations

This quantitative study examines how cultural homogeneity influences teachers’ perceptions of school climate in Indiana public schools. Grounded in systems thinking and organizational theory, the study analyzes how shared values and norms shape teachers’ responses to leadership practices and stakeholder demands. Data were collected from educators using the School Culture Survey and a custom scenario-based climate instrument capturing reactions to organizational challenges. Statistical analyses explored relationships between cultural homogeneity and teachers’ perceptions of stability, workload, and adaptive capacity. Results indicate that alignment in key cultural dimensions—particularly Collaborative Leadership—significantly shapes climate experiences, while overall homogeneity alone does not predict workload pressures. …

Development Of Medical Device For Hypovolemic Assessment Using Peripheral Venous Pressure, Connor J. Breshears

Graduate Theses and Dissertations

Accurate assessment of intravascular volume status remains challenging because traditional measurements such as heart rate, blood pressure, physical examination findings, and laboratory values may be subjective, delayed, or insensitive to early volume loss. Peripheral venous pressure (PVP) waveform analysis provides a potential approach for minimally invasive volume-status monitoring because PVP waveforms can be acquired from peripheral venous access and may contain frequency-domain information related to cardiac activity, respiratory modulation, vascular coupling, and intravascular filling. This thesis presents the development and evaluation of a proof-of-concept embedded prototype for PVP waveform acquisition and volume-status classification. The system integrates a Millar MEMS pressure …

Coupled Effects Of Sub-Atmospheric Pressure And Surface Structures On Pool Boiling Performance And Hysteresis Pathways, Mohammad Ishraq Hossain

Graduate Theses and Dissertations

The increasing power density of microelectronics has created a need for cooling technologies capable of maintaining low operating temperatures. Sub-atmospheric pool boiling of water is promising because reducing saturation pressure lowers the boiling temperature, enabling two phase cooling within electronics-relevant temperature limits. However, reduced pressure also affects CHF, HTC, and post-CHF recovery. In this work, pool boiling experiments were conducted on flat copper, microchannel copper, and micro-pin-fin copper surfaces over 10–100 kPa to examine the coupled effects of pressure and surface structure. CHF and HTC increased with pressure, while structured surfaces enhanced both relative to flat copper. Surface structure dominated …

Fugue State: The Body Politic Of Identity Theatre, Sean Patrick Ryan

Graduate Theses and Dissertations

This paper will cover my approach as an actor and a creator in two separate productions during my time at the University of Arkansas. The first is a solo theatre piece that I devised under the tutelage of Michael Landman. This work, Half Brother, is a piece of theatre that takes an abstract approach to exploring the familial and psychological ripples that can occur in the life of a queer person when a parental unit takes on a political and religious identity that is oppositional to the LGBTQ community. It exposes the effect this transformation has on the child, their …

Advancing Imbalanced Classification Through Representation Learning, Morteza Mohammady Gharasuie

Computer Science Theses & Dissertations

Real-world datasets frequently exhibit severe class imbalance, where certain categories are significantly underrepresented relative to others, leading standard empirical risk minimization to bias learning toward majority classes and degrade performance on minority categories. This dissertation addresses imbalanced classification across both structured tabular data and long-tailed visual recognition by developing methods that improve representation learning and decision reliability under skewed distributions. For tabular data, it introduces Conditional Probability Representation (CPR), a target-based encoding framework that embeds feature–label relationships directly into the representation space, enhanced by a progressive feature upgrading mechanism for semi-supervised settings and a class-frequency–aware extension that improves robustness to …

A Language Model’S Capability To Make Reasoned Decisions In Administrative Law, Robert Diab

Dalhousie Law Journal

This paper calls into question a common set of assumptions about the use of artificial intelligence in administrative law in Canada. While some assume that AI (AI) may be useful for assisting a decision-maker where core rights are affected, the prevailing view is that it cannot be relied upon to make final decisions, due mainly to functional limitations: AI cannot give reasons and its outcomes are fraught with bias and opacity that cannot be overcome. The prevailing view, however, took shape in response to earlier, more limited forms of AI. Large language models can be used in a way that …

Ai-Powered Synthetic Biology: Current Situation, Challenges, And Future Perspectives, Izem Olcay Sahin, Nuriye Gokce, Duygu T. Yildirim, A. Baki Yildirim, Hilal Akalın, Donald Martin, Tommaso Beccari, Oscar Vicente, Iza Radecka, Fideline Tchuenbou-Magaia, Robert S. Marks, Ratnesh Lal, Satya Prakash, Adam Mechler, Mario Petrov Milkov, Svetlana Fotkova Georgieva, Ilia Iliev, Kosi Gramatikoff, Ed Judge, Milica Markovic, Radka Kaneva, Galina Aleksieva Yaneva, Nadya Vasileva Agova, Nikoleta Dobromirova Ivanova, Mariya Kiryakova Tsvetkova, Ivelin Rosenov Iliev, Michel Salzet, Kisung Ko, Michele Maffia, Chiara Coppola, Matteo Bertelli

Research Outputs: 2025-Present

Synthetic biology has evolved from a set of engineering aspirations to an operationally sophisticated discipline, and artificial intelligence (AI) is its fastest-growing accelerant. This review traces that convergence across six interlocking domains: systems-level biological modeling, de novo protein engineering, metabolic and microbial programming, multi-omics data integration, regulatory element design, and clinical translation. For each domain, we survey established results, integrate findings from 2010–2026 literature, and articulate the trajectories that will define the next decade. Emerging themes include physics-informed neural networks for mechanistically constrained biological modeling, drug design, and federated learning architectures that allow global omics collaboration without centralizing sensitive data, …

Nb–Zr Interdiffusion In The (Hf,Ta,Ti,Nb)B2–(Hf,Ta,Ti,Zr)B2 High-Entropy Boride System, Ana C. Feltrin, Yue Zhou, Stefano Curtarolo, Gregory E. Hilmas, William G. Fahrenholtz

Materials Science and Engineering Faculty Research & Creative Works

Niobium (Nb) presents a challenge for achieving homogeneous solid solutions in high-entropy boride and carbide ceramics. In this work, we synthesized (Hf,Ta,Ti,Zr)B₂ (Zr-HEB) and (Hf,Ta,Ti,Nb)B₂ (Nb-HEB) ceramics by boro/carbothermal reduction, followed by densification via spark plasma sintering (SPS). Diffusion couples were prepared to investigate the interdiffusion behavior of Nb and zirconium (Zr) in these complex systems at temperatures between 2000°C and 2200°C. Aside from Nb and Zr, the other elements exhibited no significant concentration gradient across the diffusion interface. Nb exhibited lower diffusion coefficients ((Formula presented.) Nb = 1.7 x 10⁻¹⁷–1.2 x 10⁻¹⁶ m^{2 …}

Neural Network Technologies In The Automatical Control Systems Of Absorption Process For Pureficating Natural Gas, Abdishukurov Maqsudovich Shavkat Mr, Xuecheng Li Li Xuecheng Mr

Technical science and innovation

Analysis of methods and algorithms for synthesizing adaptive control systems for technological processes based on the neural network approach is carried out in this search. The stages of mathematical modeling of complex technological processes using neural network technology were considered. Additionally, an algorithm for solving the interpolation and extrapolation problem that arises in the training process a neural network to control system was proposed. At the final stage of this article, algorithms based on neural network technology are synthesized for the control system for the parameters of the technological process of natural gas purification by absorption

The Challenge: Magazine For The Center For Gifted Studies (No. 60 Summer 2026), Julia Link Roberts

Gifted Studies Publications

Magazine created by and about the WKU Center for Gifted Studies.

Midweek Memo, Georgia Southern University

Midweek Memo

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Artificial Intelligence Based Predictive Simulation And Decision-Support Framework For Full Scale Wastewater Treatment Systems, Muhammad Hassnain, Cameron Veal, Sarada M.W. Lee, Muhammad Rizwan Azhar

Research outputs 2022 to 2026

Full scale wastewater treatment plants (WWTPs) generate extensive sensor and laboratory datasets that remain challenging to translate into real-time operational insight, while increasing hydraulic variability, energy constraints, tightening effluent regulations, and events such as sensor faults, hydraulic shocks, and effluent-quality excursions require predictive decision-support tools beyond conventional mechanistic modelling. This study presents a full-scale, industry-deployed artificial intelligence (AI) framework integrating machine learning (ML), simulation, and operational boundary definition across a nitrogen-removal WWTP in Australia. Up to nine years of high-frequency online instrumentation data (≤419,000 records per target; 5–30 min resolution) and ~3000 laboratory samples were used to train and evaluate …

Optimal Co2 Storage Interval In Heterogeneous Tight Formation: Implications For Long-Term Carbon Sequestration, Yujie Yuan, Yuxin Cao, Emad A. Al-Khdheeawi, Maxim Lebedev, Zhenjiang You, Reza Rezaee, Stefan Iglauer, Lai Chang Zhang, Zhuo Feng

Research outputs 2022 to 2026

The efficiency of CO2 geo-sequestration relies heavily on the storage capacity and sealing integrity of the heterogeneous strata. Tight formations offer substantial advantages for long-term CO2 geological storage, however, the stratigraphic variability and lithological heterogeneity introduce substantial uncertainty in real-world engineering applications. Particularly, for tight formations with pronounced heterogeneous lithologies, traditional methods oversimplify their impact on CO2 geo-sequestration. To address this challenge and identify the most effective intervals for CO2 geo-sequestration, we investigated the middle Permian Lucaogou Formation (P2l) in the Jimusar Sag, Junggar Basin, Northwest China, a region known for its strong lithological heterogeneity. By integrating multi-scale analytical techniques, …

Sliding Mode Control In Grid-Tied Inverters: Techniques, Applications, And Future Directions, Taimoor Muzaffar Gondal, Asma Aziz, Daryoush Habibi, Iftekhar Ahmad

Research outputs 2022 to 2026

Sliding mode control (SMC) has emerged as a robust and adaptive strategy for grid-tied inverters. It has unique attributes which make it an appropriate control choice under increasingly complex power systems. However, there are a limited number of review articles which comprehensively explore the true potential of SMC for grid-tied inverter applications. This systematic review has been structured to explore SMC techniques with respect to certain challenges, i.e., stability challenges, unbalanced conditions, low inertia scenarios, and harmonics distortion. The classification of various SMC techniques is presented with respect to their control law and sliding surfaces design. The comparative analysis indicates …

A Comparative Evaluation Of Experimentally Validated Finite Element Modeling Strategies To Simulate Compression-After-Impact Behavior Of Multidirectional Cfrp Laminates With Barely Visible Impact Damage, Niildiip Chandraa, Vinh Tung Le, Arief Yudhanto, Abhendra K. Singh, Douglas E. Smith

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Abstract The finite element-based approaches to predict compression-after-impact (CAI) performance of carbon fiber reinforced polymer (CFRP) subject to a low-velocity impact rely on assumptions about compressive failure mechanisms within the barely visible impact damage (BVID). Comprehensive evaluations of finite element (FE) models concerning accuracy, efficiency, and validity with respect to experimental tests are limited. This study explores several finite element-based approaches developed in ABAQUS Explicit to predict the residual strength and related compressive failure mechanisms of multidirectional CFRP laminates. Drop-weight impact experiments followed by CAI tests employing 3D Digital Image Correlation (DIC) were used to validate our FE models by …

Tailoring Crushing Responses Of Hexagonal Crash Box Filled With Additively Manufactured Lattice Structures By Assessing The Influence Of Material Parameters, L. D. Lumanauw, A. Jusuf, M. H. Jarwadi, L. Gunawan, T. Sebaey, A. Yudhanto

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Hexagonal crash boxes offer superior crashworthiness compared to other cross-sectional geometries, and their performance can be further enhanced by integrating additively manufactured lattice fillers. This study investigates the quasi-static crushing behavior of hexagonal crash boxes filled with hexagonal close-packed (HCP) lattice structures fabricated via stereolithography (SLA). Finite element models developed in ABAQUS/Explicit, validated against quasi-static compression experiments, show discrepancies below 5%, indicating that polymeric lattice fillers provide modest performance gains, achieving a crushing force efficiency (CFE) of 20%–25%. Replacing polymeric lattices with metallic fillers, namely 316L stainless steel and Ti–6Al–4V titanium alloy, substantially increases energy absorption, with Ti–6Al–4V delivering the …

Nascent Titanium-/Silicon-Containing Particle Formation In Corona-Discharge-Assisted Combustion, Chanakya Bagya Ramesh, Frank Daoru Han, Yang Wang

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Adding plasmas to a flame has been shown to introduce high concentrations of charges, ions, and radicals to the said flame. This technique of adding plasma to a flame is called plasma-assisted combustion (PAC), and this addition has been shown to make a flame more stable and efficient. At the same time, PAC has also been shown to alter particle formation during combustion. Here, we investigate the effect of a high-frequency (∼21 kHz) alternating current (AC) corona discharge on particle formation and growth in a premixed flame, especially at the initial stages (with particle sizes below 10 nm). We first …

Sachi Prasad Ray-Chaudhuri: Drosophila Genetics And Mutagenesis In Indian Science, Rajiva Raman, Awadhesh Jha

School of Biological and Marine Sciences

This article summarizes the scientific contributions of Professor Sachi Prasad Ray-Chaudhuri and his unwavering commitment to advancing research and teaching in mutagenesis and genetics in post-independence India, following his postgraduate training in the United Kingdom under the mentorship of Professor H. J. Muller. His contributions in basic mutagenesis, radiation protection, animal cytogenetics, and population genetics using a range of model and native species laid the foundation of scientific research in India in these contemporary fields. This played a pivotal role in advancing genetics and biological sciences in India at a time when scientific infrastructure and resources were limited. He also …

Laser Interstitial Thermal Therapy Enhances Bidirectional Blood-Brain Barrier Permeability In Glioblastoma, Ryan T Cleary, Yiwei Fu, David Giles, Jinyun Yuan, Diogo P Moniz Garcia, Danny Palmer, Rowland H Han, Timothy Woodiwiss, Alicia B Yang, Dimitrios Mathios, Hong Chen, Albert H Kim

2020-Current year OA Pubs

BACKGROUND: Laser interstitial thermal therapy (LITT) is a minimally invasive treatment for glioblastoma that increases blood-brain barrier (BBB) permeability. However, the mechanisms and spatiotemporal features of this effect remain unclear. It is also unknown whether LITT promotes release of circulating tumor DNA (ctDNA).

METHODS: Using our previously developed LITT mouse model, we employed single-cell RNA-sequencing (scRNA-seq) to investigate gene expression changes in endothelial cells following LITT in the naive mouse brain. Brains were also harvested at multiple time points to assess LITT effects on tight junction (TJ) integrity and transcytosis via immunofluorescence and transmission electron microscopy. Human glioblastoma tissues were …