Digital Commons Network^™

Microwave Calcination Techniques For Electrode And Electrolyte Powders In Fuel Cells, Logan Scott Proud

Graduate Theses, Dissertations, and Problem Reports (ETD)

This work investigates microwave-assisted calcination as a rapid, energy-efficient alternative to conventional resistive heating for the synthesis of complex oxide powders used in solid oxide electrochemical cells. Ce₀.₉Gd₀.₁O₁.₉₅ (GDC10) and La₀.₆Sr₀.₄Co₀.₂Fe₀.₈O₃–δ (LSCF6428) were synthesized via solid-state and co-precipitation routes to evaluate the influence of precursor chemistry and dielectric behavior on microwave coupling, reaction kinetics, and powder characteristics. Calcination was performed in single-mode and multimode microwave systems using a silicon carbide/alumina susceptor–insulation package to ensure controlled high-temperature processing. A parametric study examining ramp rate, sample size, and temperature revealed that microwave processing reduced calcination time to ~1 hour compared to >21 …

Ai-Driven Prediction And Reconstruction Of Missing Cased-Hole Logs For Improved Well System Understanding, Samuel Avilez Martinez

Graduate Theses, Dissertations, and Problem Reports (ETD)

Well logging is a fundamental technique in formation evaluation providing continuous, real-time measurements of geological and petrophysical properties within a well. Through the systematic analysis of well logs, engineers and geoscientists can accurately determine critical formation characteristics, including porosity, permeability, lithology, and fluid composition. Well logging is fundamental for making informed decisions and reducing uncertainties in the exploration and development of oil and gas reservoirs.

Despite its significance, the acquisition of reliable well log data in oil and gas wells is often compromised by various operational, mechanical, and formation-related challenges, as well as pressure, fluid, and equipment constraints. In high-risk …

Simulation Optimization Of Intermodal Freight Transportation Under Disruptions, Israt Humayra

Graduate Theses, Dissertations, and Problem Reports (ETD)

Rapid growth in freight transportation in modern supply chains has led to increased operational costs, congestion, and severe environmental impacts, especially greenhouse gas emissions. Combining different modes, such as highway, railway, and waterway, intermodal transportation could thus offer considerable benefit to improve efficiency, sustainability, and resilience. However, most existing planning approaches rely on simplified assumptions, fixed schedules, and average cost estimates, making them less relevant to dealing with real-world uncertainties and disruptions. This study develops a simulation-optimization framework for intermodal freight transportation under disruption. We develop a mixed-integer programming model to represent an intermodal logistics planning framework on a multi-layered …

Data-Driven Methodologies For Mapping Cultural Heritage: The Case Of The National Coal Heritage Area, West Virginia, Usa, Hossain Mohammad Nahyan

Graduate Theses, Dissertations, and Problem Reports (ETD)

The objective of this dissertation was to develop a comprehensive, data-driven spatial framework for characterizing the complex cultural landscape of the National Coal Heritage Area (NCHA) in West Virginia. By transitioning away from traditional, heuristic spatial mapping, this research integrates advanced spatial statistics, machine learning, and GIS-based methodologies to objectively quantify the physical, visual, and cultural dimensions of the post-mining environment. The research is structured around three interconnected empirical studies, each addressing a specific scale of the Landscape Character Assessment (LCA) framework to support heritage conservation and sustainable spatial planning. The first paper focused on landform classification, developing an automated …

The Xpdirc Concept For Next-Generation Dirc Detectors, R. Dzhygadlo, J. Datta, K. Dehmelt, A. Deshpande, T. K. Hemmick, Md. I. Hossain, C. E. Hyde, Y. Ilieva, G. Kalicy, W. J. Llope, P. Nadel-Turonski, C. Schwarz, J. Schwiening, N. Shankman, J. Stevens, N. Wickramaarachchi, C. Woody

Physics Faculty Publications

The next-generation DIRC (xpDIRC) represents a novel detector geometry concept currently being developed for advanced particle identification systems in high-energy physics experiments. Building upon the high-performance DIRC (hpDIRC) designed for the ePIC detector at the Electron-Ion Collider, the xpDIRC introduces a hybrid optical architecture that combines enhanced focusing optics, a wide plate light guide, and a compact expansion volume. Comprehensive Geant4 simulations demonstrate that the xpDIRC hybrid geometry achieves state-of-the-art performance in π/K separation across the entire range of operation.

The Ocean Is Not A Machine: A Feminist Media Analysis Of Oceanographic Models, Simulations, And Futures, Clarissa Chevalier

Study of Women, Gender, & Sexuality: Faculty Publications

This article examines how scientific and artistic representations and technologies shape ocean futures. Dominant Western oceanography frequently engages mechanistic metaphors that conceptualize the ocean as a machine, pump, or carbon sponge. This way of visualizing the ocean, guided by the logics of control and quantification, shapes contemporary remote sensing, modeling, and prediction technologies. Alternative approaches to oceanographic representation, including Indigenous, anticolonial, Black feminist, and artistic approaches, offer critical counterweights to destabilize the authority granted to mechanistic oceanographic representations. Ocean simulations and scale models are infrastructures through which ocean futures are rendered and presented in multidimensional space. Through a comparative media …

Likelihood-Based Inference For Random Networks With Changepoints, Daniel Cirkovic, Tiandong Wang, Xianyang Zhang

Mathematical and Statistical Science Faculty Research and Publications

Generative, temporal network models play an important role in analyzing the dependence structure and evolution patterns of complex networks. Due to the complicated nature of real network data, it is often naive to assume that the underlying data-generative mechanism itself is invariant with time. Such observation leads to the study of changepoints or sudden shifts in the distributional structure of the evolving network. In this paper, we propose a likelihood-based methodology to detect changepoints in undirected, affine preferential attachment networks where, upon introduction, a new node selects one old to attach to with probability proportional to its degree. In particular, …

Ambulatory Monitoring Of Biomarkers For Enhanced Recovery, Lucas Abrahamian, Gurman Dhami

Bioengineering Senior Theses

Oxidative stress, an imbalance of reactive oxygen species and antioxidants, serves as both a marker and progressor of several chronic and degenerative diseases. These conditions create a major global health burden, accounting for significant cost and deaths. The prevalence of oxidative stress–driven diseases highlights the need for improved strategies to detect the imbalance before irreversible damage occurs. However, despite its major role in disease progression, oxidative stress is typically assessed using static, invasive, or laboratory methods. These approaches are poorly suited for continuous monitoring and fail to serve high-risk groups, such as patients with a family history of disease or …

Development Of In Vitro Hydrogel Blood Clots, Xiomara Garcia, Jasmine Urbina, Sapna Wolf

Bioengineering Senior Theses

Deep Vein Thrombosis (DVT) affects up to almost one million individuals in the United States annually and can lead to life-threatening complications, such as a pulmonary embolism. DVT occurs when a thrombus composed of platelets and fibrin forms within deep veins, obstructing blood flow. Current treatments include anticoagulants, thrombolytics, inferior vena cava filters, and balloon catheter procedures. However, the development and testing of these medical devices heavily rely on animal blood models due to physiological similarities in coagulation, raising ethical concerns and limitations related to cost, scalability, and sustainability. This project proposes a synthetic, in vitro alternative using agarose and …

Evidence For A Spectral Break Or Curvature In The Spectrum Of Astrophysical Neutrinos From 5 Tev To 10 Pev, Karen Andeen

Physics Faculty Research and Publications

We report improved measurements of the all flavor astrophysical neutrino spectrum with IceCube by combining complementary neutrino samples in two independent analyses. Both analyses show evidence of a harder spectrum at energies below  ∼30  TeV compared to higher energies where the spectrum is well characterized by a power law. The spectrum is better described by a log parabola or a broken power law, the latter being the preferred model. Both, however, reject a single power law over an energy range 5 TeV–10 PeV with a significance  >4⁢𝜎, providing new constraints on properties of cosmic neutrino sources.

Black Hole Spectroscopy And Tests Of General Relativity With Gw250114, Jaclyn (Jax) Sanders

Physics Faculty Research and Publications

The binary black hole signal GW250114, the loudest gravitational wave detected to date, offers a unique opportunity to test Einstein’s general relativity (GR) in the high-velocity, strong-gravity regime and probe whether the remnant conforms to the Kerr metric. Upon perturbation, black holes emit a spectrum of damped sinusoids with specific, complex frequencies. Our analysis of the postmerger signal shows that at least two quasinormal modes are required to explain the data, with the most damped remaining statistically significant for about one cycle. We probe the remnant’s Kerr nature by constraining the spectroscopic pattern of the dominant quadrupolar (ℓ=m=2) …

Navigating Technology In The Secondary Ela Classroom: Written By Teachers For Teachers, David M. Grant, Alexandra Parham, Ashley Webb, Kimberly Cavalier, Erin Neebel, Amber Schouten

Faculty Book Gallery

This collection is a digital project of dedicated teacher-scholars who met in the summer of 2025 as part of the University of Northern Iowa’s graduate program in Teaching English in the Secondary Schools (TESS). Using the theoretical lens of multiliteracies, developed by the New London Group in the 1990s, students examined the impacts of several electronic and digital technologies on their students and their teaching, especially Artificial Intelligence, or A.I. Through fiction, nonfiction, and discussion, students considered the changes, the challenges, and the opportunities these technologies held. Most importantly, they investigated what these developments meant for their teaching, their districts, …

Sun Valley’S 2025 World Cup Downhill Course Improves Dick Durrance’S 1939 Course, And Recaptures The Excitement Of The Classic Harriman Cup Races, John W. Lundin

Works by Local Authors

In early October 2024, the Sun Valley Resort received final approval to host the Audi

F.I.S. Ski World Cup Finals between March 22-27, 2025. Twenty five men and 25 women from

30 countries will compete in all four Alpine skiing disciplines - slalom, giant slalom, downhill

and super-G.

Finite Element Analysis Of Oxygen Transport In Tissue And Capillaries With A Second Order Metabolic Consumption, Vikash Ramcharitar, Sreedhara Rao Gunakala, Reddappa Bandi, Donna M. G. Dyer, Jagdesh Ramnanan

Mansoura Engineering Journal

This study presents a numerical investigation into the oxygen transport through a Krogh-type capillary-tissue model with second-order tissue metabolism. The governing non-linear equations are solved by implementing a Galerkin finite element method with a fixed-point iteration scheme. The resulting code and solution algorithm were successfully validated against available analytical solutions for zeroth- and first-order kinetics, showing very good agreement. Numerical simulations indicated, that under the parameters investigated, relative to zeroth- and first-order kinetics, a second-order metabolism leads to less overall oxygen consumption within the tissue phase. This yields higher oxygen partial pressures at the outer tissue boundary and higher oxygen …

Experimental Investigation And Optimization Of Process Parameters Affecting The Compressive And Flexural Strength Of Epoxy Concrete For Machine Tool Structure By Using Taguchi Method, Amitkumar C Gohil, Hardik G. Chothani

Mansoura Engineering Journal

The structural performance of machine tool is strongly influenced by rigidity and damping characteristic; however, conventional material such as grey cast iron and steel exhibits limitation in achieving an optimal balance between weight, strength and vibration damping. The necessitates the development of alternative material with improved performance. In this study epoxy concrete is investigated as a potential material for machine tool structure, focusing on its compressive strength and flexural strength. A systematic experimental approach based on Taguchi method (L25 orthogonal array) was employed to optimize key process parameter, including resin contain, aggregate size, sand proportion, shaking time and curing duration. …

Combating Pressure Injuries In Critical Care: A Dnp Project On Nursing Education And Prevention Strategies In The Icu, Tijuana M. Johnson

Doctor of Nursing Practice Projects

Hospital-acquired pressure injuries (HAPIs) are preventable complications that significantly increase patient morbidity, mortality, length of stay, and healthcare costs, particularly in intensive care units (ICUs). At a rural 146-bed hospital, the ICU pressure injury rate of 1.17 per 1,000 discharges exceeded the national benchmark of 0.58 per 1.000 discharges, identifying a critical gap in prevention practices. This Doctor of Nursing Practice (DNP) project aimed to improve ICU nurses' knowledge of pressure injury prevention and reduce unit-based educational intervention grounded in Patricia Benner’s Novice to Expert Theory and implemented using the Plan-Do-Study-Act (PDSA) quality improvement framework.

A pre-and post-intervention design was …

Improving Overall Morale Of Nurses By Implementing A Serenity Room, Ruth B. Clarke-Johnson

Doctor of Nursing Practice Projects

Nursing, while a highly respected profession grounded in research and scientific practice, continues to face persistent challenges related to staff retention and morale. Key contributors include burnout related to high workloads, challenging staffing ratios, lack of supportive leadership, and an aging workforce. Together, these factors hinder healthcare organizations’ ability to sustain a stable and experienced staff. The implementation of a serenity or relaxation room is supported by growing evidence highlighting its positive effects on nurse morale and stress reduction. A review by Mileski et al. (2022) found wellness spaces significantly reduced burnout, emotional exhaustion, and stress while improving resilience, job …

Insurance And Chapter 11 Bankruptcy: Is The Insurance Neutrality Doctrine Dead?, Mikaela Deleon

Emory Bankruptcy Developments Journal

Insurers have traditionally been denied “party in interest” status under the Bankruptcy Code due to the longstanding insurance neutrality doctrine. The insurance neutrality doctrine prevents insurers from challenging a chapter 11 bankruptcy plan as a section 1109(b) “party in interest” if the plan does not increase the insurance company’s liability from pre-bankruptcy levels. If none of their rights or obligations were impacted by the plan, insurance companies were previously left without a means to challenge a proposed reorganization plan. As a result, insurance companies providing liability insurance to corporations stricken with mass tort lawsuits ran the risk of becoming the …

Using A Record Player Inspired Probe System To Investigate Adhesion And Friction Of Tire Rubber At Micrometer Length Scales, Kyle J. Galigher, Brendan Schmitt

Williams Honors College, Honors Research Projects

We will be using the principles behind how a record player turns physical grooves into electrical signals to develop a device that can be used to measure the surface of tires. The device will be capable of measuring the surface roughness of rubber samples from both new and worn tires, in order to compare the differences between them. It will be operable at varying speeds, and will produce electrical signals that correspond to the bumps along the surface of the rubber. The design will be carried out and optimized with the use of SolidWorks modeling, finite element analysis, motion analysis, …

Hvac Design And Calculations, Sarah Walters, Sarah Beyea

Williams Honors College, Honors Research Projects

This project studies Heating, Ventilation, and Air Conditioning (HVAC) systems for a car dealership located in Seguin, Texas. The building construction and architectural drawings were provided by EPIC Engineering Group. Comprehensive load calculations were done on the building in order to calculate necessary airflows throughout the building. Three possible HVAC design solutions were compared: Rooftop Units (RTUs), rooftop units paired with Variable Air Volume (VAV) Terminals with electric reheat, and Variable Refrigerant Flow (VRF) paired with a Dedicated Outdoor Air Unit (DOAS). Energy modeling was completed to compare the utility costs and energy consumption of each system. A comprehensive weighted …

Made On Mars: Design And Manufacturing Of Structural Polymer-Regolith Composites, Pailey M. Vitale

Williams Honors College, Honors Research Projects

Human exploration of Mars is constrained by harsh environmental conditions and the prohibitive cost of transporting materials from Earth. Long-term sustainability requires the local production of mechanical and structural components using resources available on Mars, thereby minimizing payload mass. This project investigates polymer–regolith composites derived from atmospheric CO₂ and mineral-rich regolith as a pathway toward in-situ manufacturing. These composites, when compatible with additive manufacturing, could replace imported plastics, enable on-demand fabrication, and support closed-loop recycling systems. The objective is to design and evaluate polymer–regolith composites that maintain mechanical integrity and environmental resistance under Martian conditions, including extreme temperature swings, radiation …

Active Altitude Control For High Powered Rockets, Henry Allen, Jason Secora, Charles Williams, Donavon Sanchez, Caleb Nedoma

Williams Honors College, Honors Research Projects

The International Rocket Engineering Competition (IREC) is the premier collegiate high power rocketry competition in the world hosted by the Experimental Sounding Rocket Association (ESRA). The Akronauts Rocket Design team has been competing in IREC since 2015 and have won several awards. The main goal of IREC is to launch a rocket to a specified altitude of 10k, 30k, or 45k ft while carrying a payload and successfully recover with little to no damage.

The control of a typical high-powered rocket is purely passive; the center of pressure of the rocket must be behind the center of gravity with respect …

Energy Efficient Windows Using Pvme, James S. Bronstrup

Williams Honors College, Honors Research Projects

This Honors Project aims to improve window energy efficiency using the thermoplastic polymer PVME (polyvinyl methyl ether), which displays temperature-dependent transparency that can be adjusted by mixing it with water and salt to reduce heat transfer through a window. The objective is to determine the optimal PVME water-salt ratios for placement inside a windowpane, evaluate energy savings compared to a traditional argon-filled window, and compare estimated costs. A small-scale model will test different concentrations for various climates, with heat transfer measured by temperature indicators via a LabQuest. Building on research by Yang Zhou at Nanyang Technological University, who used a …

Interpretable Deep Learning Reveals Spatiotemporal Mri Features Of Brain Aging That Align With Neurodegeneration, Nikhil N. Chaudhari, Owen M. Vega, Phoebe Imms, Jaron M. Kawamura, Nahian F. Chowdhury, Tamara Jafar, Andrei Irimia, Kenneth Spicer, Crystal Flynn Longmire, Jacobo Mintzer, Yaneicy Gonazalez Rojas, V. Sotelo, William Hu, Floyd Jones, Amy Saklad, Sudha Seshadri, Amy Boegel, Sydni Jenee Hill, Paul Newhouse, Rebecca Long, Campbell Long, Arthur Williams, Allison Acree, Olga Brawman-Mintzer, Chelsea Reichert, Vita Pomara, Raymundo Hernando, Nunzio Pomara, Skieff Acothley, Nadeen Elayan, Micah Ellis Slaughter

Neurology Faculty Publications

Cortical thinning and atrophy are hallmarks of brain aging that have been characterized using magnetic resonance imaging (MRI). Brain aging involves many neuroanatomic features whose effects on brain structure remain unexplored. To address this challenge, we trained interpretable deep neural networks (DNNs) to estimate brain age (BA) from T₁-weighted (T₁w) MRI. By identifying MRI features unapparent to humans, DNNs can find aging-related structural alterations above and beyond cortical thickness and atrophy. Using a novel approach to DNN interpretability, we mapped brain aging progression in 25,539 cognitively normal UK Biobank adults aged 45–83 years. Cortical aging is …

Microscopic Insights On Shear Rheology Of Polyampholyte Ionomers Via Molecular Simulations, Kyle Vonscio

Williams Honors College, Honors Research Projects

Ionomers are polymers that contain a small fraction of charged groups. The ionic attraction of charged groups allows ionomers to act similarly to crosslinked polymers. Depending on the strength of electrostatic interactions and structure of the ionomers, different dynamics and rheological responses can be observed. With moderate attraction between ions, these noncovalent crosslinks can be broken when heated, allowing ionomers to flow and show the strength of a crosslinked network at low temperatures. Nonequilibrium molecular dynamics (NEMD) simulations will be performed under shear in the xy-plane and the macroscopic rheology and conformation of the polyampholyte ionomer will be determined. The …

A 1d Symmetric Interior Penalty Discontinuous Galerkin Solver In Rust, William Aey

Williams Honors College, Honors Research Projects

This honors project will build a 1D Symmetric Interior Discontinuous Galerkin (SIPDG) solver in Rust for Stum-Liouville type problems such as the Poisson equation, with Robin, Dirichlet, and Neumann boundary conditions. The work will cover the full pipeline: starting from the strong form of the PDE, deriving the DG weak form, implementing element and interface operators, and assembling or apply the discrete operator. Rust's safety and concurrency (e.g, via Rayon) will be used to explore serial and parallel performance. A test-driven development approach will be used to maintain a strong suite of tests. The project will result in a documented …

Determining Critical Micelle Concentrations Of Standard Surfactants And Rhamnolipids, Kathryn E. Kunz

Williams Honors College, Honors Research Projects

My proposed project will study the critical micelle concentration (CMC) of rhamnolipids using the pendant-drop and drop-weight methods. First, the critical micelle concentrations of ionic and nonionic common surfactants will be tested. Sodium Dodecyl Sulfate (SDS) will be used as an ionic surfactant and Tween 20 will be used as a nonionic surfactant. The critical micelle concentrations will be determined using the pendant-drop and drop-weight methods. The experimental results from the standard surfactants compared to their accepted values will be tested to assist with determining a more suitable approach. Completing the tests will provide a better understanding of critical micelle …

Ai-Based Porosity Detection In Babbitt Bore Turning, Kaylee Leggett, Hannah Adams Gemmell, Kaisa Shingleton

Williams Honors College, Honors Research Projects

For this project, an external company reached out to the University of Akron requesting assistance with defect detection during their vertical turning operations. As babbitt is removed in a vertical turning process, it occasionally reveals defects, mainly porosity, which can lead to costly downstream failures of the part. Current inspection techniques involve use of dye penetrant, which is time consuming, labor intensive, unergonomic, and a source of human error. The goal of the project is to create an alternative inspection method using an AI-based machine-learning model. After the turning operation, a camera is deployed to perform an in-place inspection, taking …

From Curiosity To Code: Using Ai As A Tool For Phenomenon-Based Chemistry Teaching, Allie M. Chambers

Williams Honors College, Honors Research Projects

In recent years, there has been an increased emphasis on integrating phenomena-based learning into science classrooms. This instructional approach engages students with real-world events that make scientific concepts more understandable and gives the students a personal connection to their education. However, implementing phenomena-based instruction proves to be a challenge to novice and veteran educators alike.

This project explores, through the lens of an education student, the struggle of implementing phenomena events. Starting with reflections on how lessons can be revised/ constructed to involve a phenomena event and a personal comparison of the difficulty of integrating these events without and with …

Design New Stage For Vacuum Pin On Disk, Miranda Boyd

Williams Honors College, Honors Research Projects

For my senior design project, I am redesigning the moving stage for the vacuum pin-on-disk test used in the Akron Engineering Tribology Lab. This system is used to evaluate bearings and lubricants for aerospace applications under controlled vacuum conditions. The current stage design limits flexibility when adjusting for different testing parameters, so my goal is to develop a new movable stage that allows for varying weights and loads to be applied accurately and safely. The redesigned stage will improve test efficiency, adaptability, and precision, ensuring the system can accommodate a wider range of experimental conditions and materials while maintaining compatibility …