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Zirconium Carbide Based Materials For Extreme Aerospace Environments, Nathaniel Hyman Blatt

Doctoral Dissertations

This research focuses on the processing and properties of zirconium carbide-based materials to promote their use in extreme environment aerospace applications, including nuclear thermal propulsion and hyper sonics. Several carbide systems including ZrC, ZrC-Mo cermets, (Zr, Nb)C, and a high entropy carbide were developed. The ZrC-Mo cermet was studied extensively to understand the effect of starting carbide grain size on the final microstructure, composition, elastic moduli, hardness, fracture toughness, room and elevated temperature flexural strength, thermal diffusivity, electrical resistivity, thermal expansion coefficient, and thermal conductivity. It was shown that heat transport in the cermets was dominated by the ZrC phase …

Essays On Accelerated Failure Time Models For Recurrent Event Data, Emmanuel Masavo Djegou

Doctoral Dissertations

Recurrent event data arise in many fields such as medicine, reliability, insurance, and economics, where the same event may occur repeatedly for a subject. Accelerated Failure Time (AFT) models provide an intuitive framework for relating covariates to event times and offer a useful alternative to proportional hazards models, allowing direct prediction of event timing under right censoring. However, existing AFT extensions for recurrent events, such as accelerated gap time (AGT) models, often fail to account for interventions between events and may not capture complex temporal patterns.

In this work, we first propose a class of semiparametric AGT models incorporating an …

Machine Learning Based Automation Of Pcb Pdn Design And Optimization, Haran Manoharan

Doctoral Dissertations

The rapid increase in power density and stringent power-integrity requirements in modern System-on-Chip (SoC) platforms have made Power Delivery Network (PDN) design an increasingly complex, multi-stage challenge. Critical decisions must be made both during pre-layout planning, such as stackup configuration, power-plane geometry, and early decoupling capacitor (decap) budgeting, and during post-layout refinements. Traditional heuristic and evolutionary optimization techniques struggle with scalability, require extensive manual iteration, leading to long runtimes and limited adaptability across varying board configurations. To address these challenges, this work proposes a unified reinforcement-learning-driven framework for automated PDN synthesis and decap optimization that spans both pre-layout and post-layout …

Advancing Coal Rib Support Design Through The Integration Of Field Studies And Numerical Simulations, Alper Kirmaci

Doctoral Dissertations

Coal rib stability remains a major safety concern in U.S. underground coal mines, with rib failure-related injuries and fatalities still occurring. A key challenge is the lack of a standardized methodology for designing rib support systems that can address varying geological conditions. As a result, many mines rely on trial-and-error or traditional practices, leading to inconsistent designs. This research aims to develop a systematic methodology for rib support design to improve coal rib stability in U.S. mining operations.

The study consists of: i) field monitoring in active room-and-pillar coal mines, ii) in-situ pull-out tests on coal ribs, iii) numerical model …

Critical Parameters Controlling Oxide Scale Formation And Hydro-Descaling Efficiency During Steelmaking, Tochukwu Princewill Ojiako

Doctoral Dissertations

In modern steelmaking, cast slabs are exposed to high-temperature oxidizing environments during secondary cooling, reheating, and hot rolling, resulting in the formation of multilayer oxide scales on the steel surface. These scales interact with mold-flux residues originating from the casting process (CC). The morphology, chemistry, and adhesion of oxide scale strongly influence its removability during high-pressure hydraulic descaling and ultimately determine the surface quality of hot-rolled products. However, the mechanistic relationship between oxide scale evolution, scale-steel interfacial structure, and hydraulic descaling performance remains poorly understood.

This dissertation investigates oxide scale formation, modification, and removal in low-carbon thin-slab steels produced by …

Accelerating Circular Economy Transition For A Sustainable Built Environment: A Systems-Based Framework, Radwa Walid Yassin Eissa

Doctoral Dissertations

"The Circular Economy (CE) has gained momentum as a transformative framework for steering the construction value chain towards greater sustainability. However, this transition requires shifts in production and consumption patterns, adoption of circular business models, and the replacement of linear practices. Despite growing interest, CE adoption in construction faces persistent challenges, including sectoral fragmentation, lack of integrated governance frameworks, and limited coordination among stakeholders. This dissertation aims to accelerate the CE transition in the built environment through a multi-scale, interdisciplinary approach spanning five modules: (1) Module 1 develops a construction value chain-structured portfolio of CE strategies and assesses their implementation; …

Assessment Of Simulation Software Used For Cubesat Gnc Verification And Validation By University Research Teams, Alexander Taiyo Newett

Masters Theses

As the growth in university satellite teams continues, along with the greater trend in the small satellite market, the need for a guidance, navigation, and control verification and validation pipeline suitable for these young and inexperienced teams becomes evident. Much of the mathematical theory and software implementation of GNC concepts are large hurdles for teams largely composed of undergraduate students.

Many software packages exist that can help these teams achieve GNC verification and validation. If the learning curves of these software packages can be overcome, new satellite teams have the opportunity to better build and test GNC algorithms that are …

Public Preferences And Trade-Offs In Critical Mineral Mining Development In The United States, Bamidele Joseph Ajiga

Masters Theses

Rising demand for battery-critical minerals has increased U.S. mining efforts, but projects often face public opposition. There is limited work on how individuals in affected regions evaluate trade-offs between economic and environmental risks.

This research applies a discrete choice experiment to examine individual preferences for proposed battery-critical minerals mining projects in Missouri, Minnesota, and Idaho. 1908 respondents evaluated hypothetical mining projects defined by jobs, state tax revenue, the proportion of tailings reprocessed, groundwater impacts, and surface water impacts, under gold and silver versus battery-critical mineral framings.

Conditional and mixed logit models were used to assess the importance of attributes, demographic …

Calcium Based Carbon Negative Fillers And Additives: Effects On Hydration And Performance Of Low-Carbon Cement Systems, Smita Bhowmick Shithi

Masters Theses

Cement production is a major source of global CO₂ emissions creating an urgent need for carbon-negative fillers and functional additives that lower clinker use while maintaining cement performance. This thesis investigates the effects of organic mineral salts as fillers and additives on cement hydration, fresh properties, compressive strength and pore structure. In the first study, ordinary Portland cement (OPC) was partially replaced with calcium carbonate or calcium oxalate to enable a direct comparison under controlled particle size distribution (PSD). Rheology, flowability, hydration kinetics, phase evolution, mechanical performance and water absorption were evaluated. Calcium carbonate promoted early hydration through nucleation and …

Developing Discharge Estimation Algorithm Using Low-Cost Velocity Sensor And Machine Learning, Barkha Gautam

Masters Theses

Accurate river discharge estimation is essential for flood forecasting, water resources management, and hydraulic decision-making; however, continuous discharge records are unavailable at many river locations. Traditional stage-discharge rating curves are widely used but their reliability may decrease when channel conditions change or flow conditions vary rapidly. This study develops and evaluates Long Short-Term Memory (LSTM) models for discharge prediction using 15-minute time-series data from river monitoring stations in Missouri. Two model configurations, a baseline stage-only model and an enhanced stage-plus-velocity model, are developed and evaluated independently at two river sites to determine whether the inclusion of surface velocity improves discharge …

Examination Of Laser Microwelding As A Technique For The Repair Of Steel Castings, Allan John Woldow

Masters Theses

"Metal castings have long been plagued with minor defects caused by various process and design conditions. Commonly, minor defects are not seen until after machining operations have been completed, and by the time they are identified, they cannot be salvaged in a manner that is structurally sound and does not have other detrimental effects on the product. Detrimental effects may include warping from high heat input in traditional welding, warping from reheat treatment, oxidation of machined surfaces, microstructural anomalies, and reduced mechanical properties. Micro laser welding has the potential to provide a solution to these issues by providing a low …

Validating A Low-Cost Radio Frequency Characterization Framework For Development-Grade Software-Defined Radios In Short-Duration Cubesat Missions, Thomas Wayne Francois

Masters Theses

Software-defined radios (SDRs) and CubeSat platforms have reduced the cost and complexity of space-based communication systems, enabling broader participation in satellite missions. While low-cost radio hardware is increasingly accessible, the ability to characterize and validate its performance remains constrained by the high cost and limited access to traditional RF test equipment. This disparity creates a challenge for small satellite development teams, which must characterize communication-system technical performance with limited access to laboratory-grade instrumentation.

This thesis presents a low-cost RF characterization framework for assessing key radio-frequency performance metrics using readily available hardware and measurement techniques. The approach integrates frequency translation, SDR-based …

Sources Of Tensions In Ai Adoption For Organ Procurement Organizations, Amaneh Babaee

Masters Theses

"Although medical AI systems have promise, the healthcare system has not fully integrated them for improved organizational operations. Studies have been conducted to identify root causes for this hesitancy without targeting a specific domain in healthcare. This generalization can be enhanced for the nuanced or domain-specific factors that offer practical insights to organizations leader. In this thesis, I focus on the factors and sources of tensions in AI adoption in transplant system, which is highly regulated but encourages innovation. Applying the Extended Technology, Organization, Environment (TOE) framework, 10 interviews were conducted at Organ Procurement Organizations (OPOs).

Although not always technically …

Aura-Visionpose: Creating Datasets For Vision-Based Pose Estimation, Mohanad Alameer

Masters Theses

"Spacecraft rendezvous is an integral part of many orbital missions, including active space debris removal (ADR) and in-orbit servicing, assembly, and manufacturing (ISAM). Traditionally, rendezvous missions rely mainly on manual ground-based control to perform rendezvous and docking. While this can be effective on an individual basis, it becomes less practical at scale. Autonomous vision-based methods can reduce reliance on human control, and may improve scalability, response time, and reduce the possibility of human error for both ADR and ISAM. This work lays the necessary groundwork for developing a machine learning (ML) model for autonomous rendezvous by creating a labeled image …

Near-Field Scan Method For Radiated Susceptibility Analysis And The Design And Optimization Of A Miniaturized Spiral Antenna For Ultra-Wideband Applications, Mckennan Edward Starkey

Masters Theses

"The work presented in this thesis consists of two separate topics. The first topic is a new method for the characterization of radiated susceptibility of electronic devices, while the second topic is on antenna design. The first topic proposes an approach to experimentally determine locations within an electronic system that are well coupled to external far-field radiators. This method is performed by using a differential magnetic field probe to sweep across the target device while measuring the total radiated power (TRP) produced by the device in a mode stirred tent. Scan locations where the TRP is larger than the background …

Transformer-Based Language Models For Bitcoin Market Prediction And Interpretation, Erich Gozebina

Masters Theses

"In the context of a Master's thesis in applied mathematics, this work investigates compact transformer-based language models as an instrument for Bitcoin-related predictions and decision support. The work connects three topics: the structure of the Bitcoin system and its data, the mathematical and algorithmic foundations of deep autoregressive transformers, and the design of practical training pipelines for financial applications. On this foundation, a reproducible ETL pipeline for Bitcoin data is developed and two forecasting experiments are conducted with the compact language model nanochat. The first experiment approaches the prediction of next-day price movements through autoregressive next-token generation based on structured …

Castrip Process Technology: Non-Grain Oriented (Ngo) Si Steels Extension And Carbide-Free Bainitic (Cfb) For Flat Products, Naram Naidu Meesala

Masters Theses

"This research explores the development of advanced steel grades manufactured through Castrip® twin-roll thin strip casting technology, with particular attention to non-grain-oriented electrical Si-Steels (NGOES) and carbide-free bainitic (CFB) steels. The Castrip® process offers a near-net-shape route for producing thin steel strips, which greatly decreases the number of processing stages, lowers energy demand, and reduces carbon dioxide emissions when compared with traditional steel production methods.

In the NGOES part of the study, several industrial Fe–Si steel compositions were cold rolled to final thicknesses ranging from 0.35 mm to 0.15 mm. These materials were then exposed to short-duration continuous annealing at …

Structured Decomposition And Efficient Adaptation For Scientific Data Movement: From Transfer Concurrency To Genomic Data Acquisition, Rasman Mubtasim Swargo

Masters Theses

"The end-to-end performance of scientific data movement is increasingly limited not by raw network capacity but by whichever resource along the path is momentarily slowest, a bottleneck that no single static configuration can track. This thesis argues that the right response is to decompose each problem along the resource or workflow axis where bottlenecks vary, adapt only the genuinely dynamic control variables at runtime, and make that adaptation efficient through utility-guided or offline-learned control rather than expensive online search. The thesis develops this principle through four systems of widening scope. AutoMDT decomposes a transfer by operation, assigning separate concurrency levels …

Moth Assemblages Of Fort Leonard Wood, Missouri, Kimberly Anne Steese

Masters Theses

"Moths (Lepidoptera) are ecologically important insects that function as herbivores, pollinators, prey resources, and indicators of ecosystem integrity. Despite their ecological significance, moth communities in the Missouri Ozarks remain poorly documented, particularly within military-managed landscapes. This thesis examined patterns of moth diversity, assemblage structure, and environmental drivers at Fort Leonard Wood (FLW), Missouri, while also assessing the distribution and genetic diversity of species within the genus Papaipema.

Field surveys were conducted from 2019 through 2021 across prairie, savanna, forest, and restoration habitats at FLW using UV bucket traps, sheet trapping, and targeted larval surveys. Across all sampling efforts, 29,116 individual …

Dean's Update, January 2026, Neil W. Schluger

SOM Dean's Research Newsletter

No abstract provided.

Caterpillar's Spatial Metamorphosis: Heavy Equipment Manufacturing In The 21st Century, Utkarsh Kumar, Michael L. Dougherty

Faculty Publications – Sociology and Anthropology

Caterpillar Inc., the world's largest heavy equipment manufacturer, grew rapidly in the 20th century before a crisis of overproduction in the early 1980s threatened its survival. In response, it launched the $2.8 billion “Plant with a Future” (PWAF) program, a sweeping material and ideological overhaul that remade the firm for the post-Fordist global economy. This article advances three interventions. First, it shows how post-Fordism as a spatial and ideological project emphasized decentralization, accountability, and customer orientation, which helped legitimize and institutionalize corporate restructuring. Second, it demonstrates that flexibilization operated as a spatial strategy, implemented through four interrelated processes: bureaucratic restructuring, …

Student Perceptions Of The Learning Environment In A Hospital School Program, Hannah Buck

Brehm Scholars Research

Most research related to hospital school programs has focused on adult perspectives (e.g., teachers, administrators, parents, and clinical staff) rather than on the perspectives of hospitalized students. This study examined the education-related perspectives of hospitalized K–12 students (N = 10) who had engaged with the C.S. Mott Children’s Hospital School Program in Ann Arbor, Michigan. Participants completed one semi-structured interview and two short surveys. Sessions were audio-recorded, transcribed, in vivo coded, and thematically analyzed. Despite the challenges associated with hospitalization, participants generally reported equal or greater enjoyment of in-hospital schooling compared to non-hospital schooling. Survey responses revealed that higher …

Communication Sciences And Disorders Faculty Perspectives On Collaborating With Students As Instructional Partners, Bryanna Cosman

Brehm Scholars Research

Student-faculty partnerships, such as instructional partnerships, have been shown to benefit both students and faculty members who engage in them. This form of collaboration does not commonly occur at public, comprehensive universities, especially in the field of Communication Sciences and Disorders (CSD). The purpose of this study was to understand the perspectives of CSD faculty on collaborating with students as instructional partners (IP), as there is limited research on it. IPs are students who have successfully taken a class in the recent past, attend the course in a subsequent semester, and meet after each class with the professor to discuss …

Comparing Us Medicare Coverage Options As A Contributing Mechanism To Sticking Or Switching To An Insurance Plan, Lisa M. Grabert, Brian J. Miller, Kathryn L. Wagner

College of Nursing Faculty Research and Publications

Background

In 2025, the US Medicare program is expected to spend over $1.1 trillion taxpayer dollars. A growing trend in the US Medicare program is more beneficiaries electing a private insurer, referred to as Medicare Advantage (MA), to manage their care. Since 2023, a slight majority of Medicare beneficiaries have elected to enroll in MA, yet little is understood about the mechanisms that drive beneficiaries toward their choices.

Methods

Our objective was to examine the association between comparing coverage options and ‘switching’ or ‘sticking’ with Fee-for-Service (FFS) Medicare or Medicare Advantage (MA). We conducted a panel study, using data from …

Real-World Use Of Theophylline In Critically Ill Patients With Sinus Pauses: A Case Series, Muhammad Ali Elahi, Hamza Jalal, William Frick, Bryan D Kraft

2020-Current year OA Pubs

BACKGROUND: A sinus pause is is defined as a delay in sinus node depolarization exceeding 3 s following atrial depolarization. In patients with pauses greater than 5 s accompanied by hemodynamic compromise, the primary treatment is permanent pacemaker (PPM) implantation. However, in the presence of an active infection, alternative strategies such as temporary transvenous pacing or pharmacologic agents may be more appropriate. This report highlights the use of theophylline as a non-invasive therapeutic option in two patients with asymptomatic sinus pauses who had contraindications to PPM placement.

CASES: Patient A was a 74-year-old woman with a history of pulmonary arterial …

Who Seeks Help? Characteristics Of Doctors Accessing Mental Health Support In England: 4-Year National Review, Rohit Shankar

Peninsula Medical School

BackgroundMental health difficulties affect the well-being of doctors and compromise the delivery of healthcare. However, large-scale data on doctors’ mental health needs are limited.AimsDescribe patterns of self-referrals for mental health support among doctors in England and explore associations with demographic factors, speciality, neurodevelopmental and mental health indicators.MethodObservational study using data from doctors who self-referred for mental health difficulties to a national service in England over a 4-year period. Logistic regression was used to explore associations between speciality and mental health indicators.ResultsOf the 16 815 doctors who self-referred during the study period, 80% were under the age of 49 and 70.6% …

Does In-Bed Cycling Delivered Within 48 Hours Of Mechanical Ventilation, Reduce The Occurrence Of Delirium In Critically Ill Patients: A Mixed-Methods Feasibility Randomised Controlled Trial Protocol, Jacqueline Bennion, Mark Hudson, Mary Hickson, Victoria Allgar, Bridie Kent, David Mcwilliams, Daniel Martin

Peninsula Medical School

Background: Delirium is a severe neuropsychiatric clinical state presenting as an acute onset of cognitive deficits. Patients receiving invasive mechanical ventilation (IMV), have the highest incidence (50%–80%) of delirium amongst patients admitted to intensive care units. Preliminary data indicates that early mobilisation is associated with reduced delirium in critically ill patients. However, definitive evidence is lacking. Current practice varies due to many barriers to patients, who require IMV, receiving early mobilisation interventions. In-bed cycling may address some of these barriers. This research aims to evaluate the feasibility and acceptability of early in-bed cycling to reduce delirium in critically ill patients. …

Microbial Collagenase Activity Is Linked To Oral–Gut Translocation In Advanced Chronic Liver Disease, Shen Jin, Aurelie Cenier, Daniela Wetzel, Bethlehem Arefaine, Mar Moreno-Gonzalez, Marilena Stamouli, Merianne Mohamad, Mariia Lupatsii, Emilio Ríos, Sunjae Lee, Ane Zamalloa, Shilpa Chokshi, Adil Mardinoglu, Saeed Shoaie, Naiara Beraza, Vishal C. Patel, Melanie Schirmer

Peninsula Medical School

Microbiome perturbations are associated with advanced chronic liver disease (ACLD), but how microorganisms contribute to disease mechanisms is unclear. Here we analysed metagenomes of paired saliva and faecal samples from an ACLD cohort of 86 individuals, plus 2 control groups of 52 healthy individuals and 14 patients with sepsis. We identified highly similar oral and gut bacterial strains, including Veillonella and Streptococcus spp., which increased in absolute abundance in the gut of patients with ACLD compared with controls. These microbial translocators uniquely share a prtC gene encoding a collagenase-like proteinase, and its faecal abundance was a robust ACLD biomarker (area …

Enhancing Offshore Wind Resource Assessment Through Neural Network-Based Hf Radar Data Analysis, Nikolas Martzikos, Matthew Craven, David Walker, Daniel Conley

School of Engineering, Computing and Mathematics

The increasing demand for offshore wind energy underscores the need for accurate wind speed estimation to support the design and operation of offshore wind farms. High-Frequency Radar (HFR), a widely used remote sensing technology in oceanographic research, offers promising potential for wind resource assessment, particularly in areas where conventional measurements are limited. This study explores the application of artificial neural networks (ANNs) for offshore wind speed prediction using HFR-derived data, addressing key challenges in model development and training. A key feature of this approach is the use of a decade-long dataset from the Celtic Sea, off the southwest UK coast, …

Patient And Practitioner Workshops For An Intellectual Disabilities And Epilepsy Neuropsychiatric Genetic Research Database Register: Ethical Dilemmas For Study Design, Rohit Shankar, Jon Allard, Dannielle Bilkey, Brendan Mclean, Pamela Bowman, Chloe Staples, Lance Watkins, Anna Simpson, Elizabeth Boardman, Sarah Mitchell, Sarah Lennard

Peninsula Medical School

BackgroundThere is a need for more research studies focussed on People with ID (PwID) and Epilepsy and for the design of these studies to be shaped by this complex and vulnerable population and those who care for and support them.AimsTo develop understanding as to how a future NHS genetic research database register for PwID and Epilepsy should be conducted in a way which is inclusive, suitable and appropriate for them, their carers and the NHS settings where the research would be undertaken.MethodsThree workshops were completed with 17 formal participants: (1) PwID and Epilepsy (n2); (2) carers of PwID and Epilepsy …