Digital Commons Network^™

Harnessing Ml And Iiot For Traceability In Continuous Production Systems: A Conceptual Framework, Kholoud M. Abdelaal

Theses and Dissertations

In the era of rapid technological advancement, the manufacturing sector faces increasing pressure to leverage emerging technologies to enhance operational efficiency and minimize waste. In this context, traceability plays a pivotal role, as it provides complete visibility of processes and products throughout manufacturing systems, enabling them to identify areas for improvement and take corrective actions accordingly. Additionally, traceability ensures compliance, supports product recalls, provides a clear understanding of the system’s performance, and enables fact-driven decision-making in multiple aspects of the manufacturing system. Although the broad spectrum of traceability applications in batch production-based plants, traceability remains challenging to achieve in continuous …

A Virtual-Reality-Based Dental Simulator For Endodontics With Automated Formative Feedback, Yousef Salah Abo El Ela

Theses and Dissertations

Advancements in virtual reality (VR) and haptic technology are transforming the landscape of medical and dental education, offering new avenues for safe, immersive, and repeatable training experiences. Within dentistry, endodontics presents unique challenges for preclinical education due to anatomical complexity, limited access to extracted teeth, ethical concerns, and the shortcomings of conventional plastic models. Despite endodontics specific plastic teeth being available, they fall short of replicating the hardness of real extracted teeth, are relatively costly compared to generic plastic teeth, and are ultimately a disposable item which makes them inadequate as a sustainable long-term solution. Extracted teeth do a much …

A Computational Study Of The Chemomechanics Of Paracetamol Polymorphs: Towards Improving Drug Tabletability, Karim Nader Samra

Theses and Dissertations

The mechanical properties of pharmaceutical crystals are of great importance in tablet manufacturing. Also, knowing the mechanical properties of different polymorphs of the same crystal can reduce the overall production cost. In this study, computational work was done via performing density functional theory calculations on 3 paracetamol crystal polymorphs Form I, II, and III. Understanding the chemical bonding helps in predicting the key elastic properties for different crystallographic directions. In Form II, lattice vector C is dominated with the intermolecular hydrogen bond OH…O giving it the stiffest Young Modulus and the least Poisson’s ratio. Then comes the A-Axis which contains …

Ai-Driven Stratified Modeling For Early Liver Disease Detection: A Comparative Study Of Ensemble And Conventional Machine Learning Classifiers, Ghadeer Murtadha Ali, Ali Aqeel Hadi, Mustafa Abdulkareem Abbas, Abdullah Alkarar Mohammad, Ahmed Fadhil Abdulhussein

AUIQ Technical Engineering Science

Background: Early prediction of liver disease remains challenging in routine clinical diagnostics due to the multifactorial nature of hepatic dysfunction and the limited discriminative capacity of conventional laboratory-only assessments.

Objective: This study aims to develop and rigorously evaluate a robust machine learning framework for binary liver disease classification, emphasizing predictive stability, diagnostic balance (sensitivity–specificity), and statistical reproducibility across repeated experiments.

Methodology: A structured dataset of 1,700 records with 11 features representing demographic, behavioral, genetic, and clinical determinants was used to train and compare five supervised models: CatBoost, AdaBoost, Random Forest, Support Vector Machine (SVM), and Decision Tree. Performance was assessed …

Human-Machine Communication: Complete Volume. Volume 12

Human-Machine Communication

This is the complete volume of HMC Volume 12.

A Modular Llm Approach To Argument Extraction In Philosophical Texts, Nate Miller

Masters Theses

Engaging with philosophical works is a rewarding but demanding task that challenges both human readers and computational systems designed to extract arguments from dense philosophical reasoning, and although large language models (LLMs) have made substantial progress in argument extraction, the most advanced models are often costly to run. As a result, there is growing interest in determining if multi-agent pipelines that divide a task into smaller stages can reduce cost while maintaining or improving performance.

This study investigates a modular multi-agent approach for extracting arguments from philosophical texts using LLMs, and compares its performance, cost, and runtime to both single-agent …

Enhancing Sustainable Cooling Solutions: Investigating Spot Radiant Cooling Systems Performance And Influence On Indoor Comfort In Hot Climates, Norhane Eldeeb, Ahmed Ahmed Fikry, Abbas Mohamed Elzafarany, Ehab El Shazly, Hinar Abo El-Maged

HBRC Journal

In hot climates, demand for effective sustainable cooling strategies to maintain comfort is high. Nevertheless, conventional radiant cooling systems are often hindered by condensation risks and complex control requirements in partially occupied spaces. To address these challenges, at top inlet conditions of approximately 26°C and 50% Relative Humidity) RH (, three-dimensional CFD simulations validated against the 1.405 kW reference case of Shin et al. were performed to quantify the effect of installation height and panel geometry on spot radiant cooling performance. Lowering the flat CRCP from 2.6 m to 2.2 m reduced volume averaged air temperature (T_a) …

Leveraging Blockchain Technology In Mining Supply Chain Management: Vietnam Coal Mining Case Study, Thu Hang Nguyen, Nguyen Trung Tuan, Hong Anh Le

Journal of Sustainable Mining

The global economy heavily relies on the mining industry for essential resources such as coal, oil, gas, and metal ores. However, the intricate nature of mining operations poses significant challenges in supply chain management (SCM). This research investigates how blockchain technology can address these challenges within mining supply chain management (MSCM). Through a systematic review of existing research and projects, a conceptual blockchain model is proposed to improve mining supply chains’ transparency, traceability, efficiency, and sustainability, specifically focusing on coal supply chain management in Vietnam. The model integrates distributed ledgers, smart contracts, IoT devices, identity management, and consensus mechanisms to …

The Risc-V Fpga (Rvfpga) Teaching Package, Daniel Chaver, Sarah Harris, Luis Pinuel, Olof Kindgren, Zubair Kakakhel, Chris Owen, Jose I. Gomez-Perez, Fernando Castro, Katzalin Olcoz, Julio Villalba-Moreno, Alexander Grinshpun, Freddy Gabbay, Luke Seed, Rui Duarte, Manuel Lopez, Oscar Alonso, Robert Owen

Electrical & Computer Engineering Faculty Research

RISC-V is a free and open-standard ISA based on RISC principles, allowing anyone to design, manufacture, and sell RISC-V chips and software. Its flexibility and growing ecosystem have made it popular in research, education, and industry, increasing the need for educational materials. This paper provides an in-depth description of the RVfpga course, which offers a solid introduction to computer architecture using the RISC-V instruction set and FPGA technology. It focuses on providing hands-on experience with real-world RISC-V cores, the VeeR EH1 and EL2 cores, developed by Western Digital and hosted by ChipsAlliance. The course targets students and educators in computing-related …

An Improved United-Atom Potential For Molecular Dynamics Simulation Of Saturated Properties Of N-Alkanes, Wazih Tausif, Jordan Hartfield, Alex George, Zhi Liang

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Multiple united-atom (UA) potential models have been developed in the literature to reproduce experimental saturated properties of n-alkanes using Monte Carlo simulations. When these UA potentials are employed in molecular dynamics (MD) simulations, MD simulations often give relatively poor predictions of saturated properties of n-alkanes, particularly the saturated vapor densities, due to the challenges in accurate calculation of long-range intermolecular forces beyond the cutoff distance in an inhomogeneous system. In this work, a new set of UA Lennard-Jones (LJ) interaction parameters for n-alkanes is proposed to reproduce the saturated properties, including saturated liquid and vapor densities (ρ_f and ρ …

Recent Advances Toward Damage-Tolerant 3d-Printed Titanium Alloys: Alloy Design Perspective, Saeid Alipour, Arezoo Emdadi, Ju Li

Materials Science and Engineering Faculty Research & Creative Works

Twenty-year uninterrupted endeavor of titanium alloys printing has opened up a new paradigm in metal additive manufacturing (AM) to fabricate engineering components with required strength–density–corrosion combinations. Despite the remarkable advances in titanium AM, controlling the grain structure to print the parts with engineered microstructures, tailored mechanical properties, and minimum anomalies remains challenging. Numerous approaches have been implemented to address this challenge, such as printing parameter control, post-AM heat treatments, and thermomechanical processing. In addition to the aforementioned conventional approaches, novel techniques have been proposed that require employing hybrid manufacturing or developing the printer itself. One of the novel pathways in …

Iron-Involved Orr Electrocatalysts Under The Lens Of In-Situ/Operando Mössbauer Spectroscopy, Sumbal Farid, Jun-Hu Wang

Journal of Electrochemistry

Exploring cost-effective and efficient catalysts for oxygen reduction reaction (ORR) poses a significant challenge, especially in the pursuit of alternatives to precious metals like platinum. Significant advancements have driven electrochemists to develop efficient ORR catalysts using abundant materials, particularly iron (Fe)-based, known for their exceptional performance in ORR. While the crucial function of Fe in boosting ORR catalytic activity is recognized, the connection between material attributes and catalytic performance remains enigmatic. Understanding the dynamic processes involved in oxygen electrocatalysis is paramount for designing precious-metals-free ORR electrocatalysts. Mössbauer spectroscopy stands out as a powerful technique for deciphering the structural characteristics of …

Carbon Supported Octahedral Ptni Nanoparticles (Oct-Ptni/C) As A Cathode Catalyst For Proton Exchange Membrane Fuel Cells (Pemfcs) With Improved Activity And Durability, Zi-Wei Feng, Hai-Zhong Chen, Xiao Duan, Ling Tang, Yun-Kun Zhao, Long Huang

Journal of Electrochemistry

Proton exchange membrane fuel cells (PEMFCs) are considered as a promising renewable power source. However, the massive commercial application of PEMFCs has been greatly hindered by their high expense and less-satisfied performance mainly due to the sluggish oxygen reduction reaction (ORR) kinetics even on state-of-the-art Pt catalyst. Octahedral PtNi nanoparticles (oct-PtNi NPs) with excellent ORR activity in a half-cell have been widely studied, while their performance in membrane electrode assembly (MEA) has much less reported. Herein, we investigated the MEA performance using the carbon supported oct-PtNi NPs (oct-PtNi/C) as the cathode catalyst. Under the mild acid washing condition, the surface …

Understanding Mobility Limitations And Public Transportation Accessibility For People With Disabilities, Jada Meria Stringer

ETDs from 2020-2029

Mobility for people with disabilities (PWDs) depends on both the availability of transportation and public services and the accessibility of these systems. The presence of public transportation systems does not ensure usability. Vehicles, infrastructure, and the built environment must be designed to accommodate diverse physical, sensory, cognitive, and other needs. PWDs must also be able to navigate public buildings and surrounding spaces safely and comfortably. This thesis examines mobility limitations for PWDs in India and the United States, focusing on accessibility along the full mobility chain. A review of existing literature provides context on accessibility policies, design standards, and the …

Biomineralization Of Low Temperature Plasma(Ltp) Modified Polymeric Biomaterials And Scaffolds, John Patrick Bradford

ETDs from 2020-2029

Bio-integration, specifically osseo-integration of bone implants and scaffolds, are vital for the success of implants and bone tissue engineering (BTE). Calcification can be defined as the deposition of calcium compounds as either calcium phosphate(CaP) minerals consisting of hydroxyapatite(HAP) or CaP salts. The significance of the variety of phases of CaP is that mature bone matrix is composed of 65% CaP mineral. Many investigators have attempted to model the natural matrix by producing materials containing calcium phosphate in both amorphous CaP or in the more crystalline HAP form, with biomaterials (both synthetic and biological). Biomimetic CaP formation is a sign of …

Amino Acid Pet Tracers For Cancer Imaging And Response Assessment, Ugur Akca

ETDs from 2020-2029

Triple-negative breast cancer (TNBC) and high-grade glioma (HGG) pose significant diagnostic and therapeutic challenges due to their aggressive biology and the limitations of [¹⁸F]FDG PET, which suffers from nonspecific uptake in inflammatory tissues, complicating differentiation of viable tumor from treatment-related effects. Computed Tomography, while strong for structural changes, has limited soft tissue contrast for distinguishing tumor from inflammation, and Magnetic Resonance Imaging, despite superior soft tissue resolution, struggles with differentiating active tumor from post-treatment changes like edema or necrosis due to nonspecific enhancement. These challenges highlight the necessity for complementary and advanced imaging strategies for improved diagnosis and monitoring. This …

Bidirectional Effects Of Transcutaneous Auricular Vagus Nerve Stimulation On Insomnia And Brain Health In Breast Cancer, Melissa Van Trang Do

ETDs from 2020-2029

Breast cancer remains the most frequently diagnosed cancer among women worldwide, with over 2.3 million new cases annually. While advances in treatment have improved survival, many women continue to suffer from persistent insomnia, fatigue, anxiety, depression, and cognitive dysfunction that collectively impair quality of life and recovery. These interrelated symptoms share common biological underpinnings, including autonomic dysregulation, vagal withdrawal, and chronic inflammation. Transcutaneous auricular vagus nerve stimulation (taVNS) is a non-invasive, bioelectronic therapy that modulates afferent vagal pathways via auricular branches of the vagus and trigeminal nerves. By engaging central autonomic and neuroimmune circuits, including the nucleus tractus solitarius and …

Systemic Drug Delivery In Pigs Using Biodegradable Microneedle Patches, Katherine A. Miranda-Munoz, Tsungcheng Tsai, Jacy Riddle, Ke He, Lee Blaney, Jeremy Powell, Jorge Almodovar

Biomedical Engineering Faculty Publications and Presentations

Transdermal microneedle systems offer a minimally invasive strategy for systemic drug delivery in veterinary medicine. In this study, biodegradable microneedle patches composed of polyvinyl alcohol, collagen, and chitosan were evaluated in pigs for the delivery of two model compounds, fluorescein isothiocyanate-dextran (FITC-dextran, 4 kDa) and flunixin meglumine (FLU). Patches were applied to the ear and neck to assess the influence of anatomical site on systemic absorption. FITC-dextran delivered via a single 50 mg patch on the neck achieved approximately 1.2-1.4-fold higher plasma concentrations than oral administration and ear-applied patches, demonstrating enhanced uptake from vascularized regions. FLU patches applied to the …

Mechanical Performance Evaluation Of Natural Composites Recycled Hemp Rice Bag Reinforced With And Without Silicon Carbide Particles, Gaber A. Elawadi, A. S. Fayed

Mansoura Engineering Journal

Significant progress has been made in the development of natural fiber-reinforced composite materials, owing to their potential to enhance mechanical properties while offering a greener and more sustainable alternative to traditional materials. These materials combine superior ecological benefits with enhanced mechanical performance. This study examines how recycled hemp fiber bags, including recycled hemp fibers obtained from rice hemp fiber bags, affect the mechanical characteristics of unreinforced and reinforced composites. Four composite systems were fabricated and tested: (1) HFR (randomly chipped recycled hemp fiber bags–epoxy composite), (2) HFB (continuous recycled hemp fiber bag–epoxy composite), (3) HFR SiC (randomly chipped recycled hemp …

V-22 Osprey Proprotor, Derek Krieger, Carson Running

Mechanical Engineering Student Publications

This paper covers an aerodynamic analysis of the Boeing Bell V-22 Osprey proprotor blade by utilizing thin-airfoil theory (TAT) and lifting-line theory (LLT). The primary focus is how the coefficient of lift and induced drag respond to changes in the angle of attack of the proprotor blades. The proprotor blade is modeled as a finite wing based on the NACA 63-212 airfoil. The wing has a geometric twist of -35 degrees from root to tip. The theories used to evaluate the blade design are limited by the assumption of incompressible, inviscid flow. The results of the analysis indicate that lift …

An Improved Model Of Trans-Critical Ch4 And Co2 Adsorption In Coals Based On Monolayer Adsorption And Adsorption Potential Theories, Song Xuemei, Zhang Kun, Sang Shuxun, Ma Mengya, Liu Huihu, Xu Hongjie

Coal Geology & Exploration

Objective and Method Adsorbed phase density represents a key parameter for determining gas adsorption capacity in coals. Using bituminous coal samples from the Huainan and Huaibei mining areas in Anhui Province, this study carried out high-pressure isothermal adsorption experiments of CO₂ and CH₄ at temperatures of 24 ℃, 36 ℃, and 48 ℃. In combination with the quantitative characterization of pore structures in coals using low-temperature liquid nitrogen adsorption (LNA) experiments and mercury intrusion porosimetry (MIP), this study analyzed the high-pressure trans-critical CH₄ and CO₂ adsorption processes in coals. Meanwhile, based on the Gibbs excess adsorption, …

Research Advances And Prospects Of Geologic Co2 Sequestration Models, Hu Chenlin, Dong Cheng, Sang Shuxun, Tang Yong, Li Xin, Zhang Bin, Zhao Lingfeng

Coal Geology & Exploration

Background The urgent need to respond to global climate change and to achieve carbon neutrality is driving geologic CO₂ sequestration technology to be increasingly large-scale, safe, and intelligent. Since the CO₂ sequestration process involves multi-physical field coupling, the engineering feasibility and long-term safety of CO₂ sequestration heavily rely on the capacity of numerical models to perform accurate characterization of complex subsurface processes. Therefore, establishing a model system, covering the entire process consisting of injection, migration, sequestration, and monitoring, that is suitable for various geobodies for CO₂ sequestration has emerged as a foundation for the engineering application …

Fuzzy Pi Controller For Frequency Control Of A Diesel-Pv-Battery-Based Islanded Ac Microgrid, M. S. Elborlsy, Ramadan M. Mostafa, Hossam E. Keshta, Mohamed A. Ghalib

Mansoura Engineering Journal

Effective management of modern electrical grids requires intelligent and adaptable control mechanisms to effectively balance power supply and demand, particularly in times of significant disturbances. Microgrids predominantly harness renewable energy sources (RES), which are inherently variable, for electricity generation. However, due to these fluctuations, conventional control systems often struggle to optimize performance under diverse operational conditions. This study addresses the need for improved frequency regulation in isolated AC microgrids (MGs) by proposing a fuzzy PI (FPI) controller capable of dynamically adjusting control strategies to accommodate disturbances such as three-phase faults, sudden changes in load, and variations in solar irradiance. A …

The Role Of Side-Chain Length And Counterion Mediation On Dimerization Of Rigid Sphere-Rod Amphiphiles: A Molecular Dynamics Investigation, Mesfin Tsige, Tianbo Liu, Javad Tamnanloo, Abdol Hadi Mokarizadeh

University Research

Rigid sphere-rod amphiphiles (RSRAs) comprising a Keggin polyoxometalate (POM) headgroup and an oligofluorene rod with different side chain lengths (C2, C6, C10, C16, are the number of carbon atoms per side chain) were probed by all-atom molecular dynamics in THF/water mixtures (15 and 33 vol % THF) with tetrabutylammonium (TBA+) counterions to elucidate the molecular origins of dimerization. Despite strong Keggin-Keggin electrostatic repulsion, stable dimers form through a synergy of (i) hydrophobic rod/side-chain interaction that strengthens with side-chain length and (ii) counterion-mediated attraction by TBA+, which localizes near the Keggins to screen electrostatic repulsion. Packing evolves from near-parallel rods for …

Exploring The Reduction Of Runway Incursions Through Training, Vasilios (Billy) Constaintine Metallinos

Journal of Aviation Technology and Engineering

Runway incursions are prevalent aviation safety issues that result in adverse outcomes. The focus of this qualitative case study was exploring the reduction of runway incursions through training for pilots. Applying social cognitive theory (SCT) provided this study with a theoretical underpinning. Conducting interviews and a focus group with 17 participants allowed for the collection of enough data and resulted in identifying the importance of training in preventing runway incursions. Based on the thematic analysis conducted, it was identified that evidence-based, scenario-based, and continuous training can be used to reduce runway incursions caused by pilot deviations. The results contribute to …

Advanced Control Strategy For Photovoltaic Dc Microgrids Using Model Predictive Control With Rl Filter Enhancement, Yagub Suleymanov

Student Theses and Dissertations

This thesis presents the modeling and control of a photovoltaic (PV)-based DC microgrid using MATLAB/Simulink. A DC–DC converter with a buck stage is employed to perform a better maximum power point tracking (MPPT) and voltage regulation from PV panel. Predictive control method (MPC) algorithm will be employed, which offers faster transient response and reduced oscillations compared to traditional techniques. Considering the existing works, this study introduces an additional RL filter branch to further improve the stability of the regulated DC bus voltage combining MPC method and Incremental Conductance Maximum Power Point Tracking (IC-MPPT) algorithm. To ensure stable operation of the …

Ai-Driven Automatic Fault Detection Systems: Revolutionizing Modern Smart Grids, Aravind Sanikommu

Student Theses and Dissertations

The increasing complexity of current power systems, resulting from the integration of distributed generators and renewable energy sources, necessitates intelligent and adaptive fault detection schemes. Traditional protection using impedance and phasor analysis is usually weak when operating in nonlinear and transient operating conditions. Consequently, the tools of Data-driven fault classification and decision-making have gained strength under artificial intelligence (AI) and machine learning (ML) to improve grid reliability. This thesis is a proposal of an automatic fault detection and classification system based on AI applied to a smart mini-grid setting built in MATLAB/Simulink. A complete set of voltage and current data …

Direct Solar-Energy Powered Hydrothermal Treatment To Promote Biomethane Production From Anaerobic Digestion Of Rice Processing Waste, Kainat Rahnuma

Student Theses and Dissertations

Hydrolysis is a slow and energy-intensive process and a rate-limiting step in anaerobic digestion (AD). This research investigates performance strategies for integrating hydrothermal treatment (HT) with AD. HT-AD systems were less economically viable than AD-only options because of the high energy consumption of HT. Therefore, we used solar energy to conduct HT via either solar cookers or solar panels. The HT method significantly improved digestion performance, reducing the lag phase from 60 to 24 h, and increasing overall yield. Hydrothermally treated rice, rice bran, and rice hulls produced 22,932 mL, 13,136 mL, and 1283 mL, respectively. However, untreated rice, rice …

Angular Scanning Method For Efficient Maximum Power Point Tracking, Saikot Hossain Dadon

Student Theses and Dissertations

The Photovoltaic System (PV) is one of the widely used sources of renewable energy. There are various control mechanisms to manipulate the PV system. However, one of the major control mechanisms is Maximum Power Point Tracking (MPPT) to extract the maximum power from the solar panel. The solar power is intermittent and stochastic in nature due to the unpredictable sunlight exposure to the solar panel and temperature variance throughout the day and year. Consequently, the PV module does not run at Maximum Power Point (MPP) naturally; therefore, an MPPT controller is utilized so that the solar panel runs in the …

Fostering Engineering Identities And Attitudes Through Place-Conscious Learning Introduction, Rebekah Hammack, Miracle Moonga, Nicholas Lux, Paul Gannon

Journal of Pre-College Engineering Education Research (J-PEER)

Limited research focuses on how participating in place-conscious engineering affects students’ engineering identities and attitudes toward engineering. This explanatory sequential mixed methods study investigated the effect of engaging elementary school students in place-conscious engineering activities on their engineering identities and attitudes toward engineering. Twenty fourth grade students enrolled in a rural elementary school in the northwestern United States completed two place-conscious engineering activities: (1) after a local wildfire polluted the air with smoke and made it unhealthy for breathing, students designed and built air filters to prevent smoke from entering the homes of affected families residing in a nearby community, …