Digital Commons Network^™

A Fault-Tolerant Exchange-Coupled Spin-Ensemble Qubit At Elevated-Temperatures, Aniruddha Chakraborty

Theses and Dissertations

This thesis introduces a novel qubit architecture: the ferromagnetic exchange-coupled spin ensemble qubit (E-qubit), designed to address the noise-induced instability. In this work, the time evolution of the ensemble’s density matrix is studied using the Liouville–von Neumann equation. To benchmark against a single-spin qubit, the gate fidelity of an E-qubit is computed in the presence of thermal noise. Coherence time is also analyzed under identical thermal condition and a linear scaling is observed with qubit size . The results show that, at 6 K , the gate fidelity error (0.7 % ) of the seven- spin ensemble is an order …

Collaborative Robots For The Automation Of Additive Manufacturing Workflows, Logan Schorr

Theses and Dissertations

Collaborative robots have the potential to transform the world, being easier to program, safer around humans, and far cheaper than their industrial counterparts. This makes them uniquely qualified to operate autonomously in environments where the presence of humans is necessary, either as an operator themselves or as observers of active processes. One of the fields where collaborative robots have significant opportunity for utility is in metal additive manufacturing, in which near net-shape parts can be autonomously fabricated using materials like stainless steel, titanium, or nickel super-alloys. These processes, especially laser powder bed fusion and directed energy deposition, use a fine …

Modeling Synergistic Effects Of Integrin And Tgf-Β Signaling In Epithelial Mesenchymal Transition, Prerak Thakkar

Theses and Dissertations

The induction of Epithelial Mesenchymal Transition (EMT) is initiated by a

number of protiens and growth factors, one of which is the profibrotic cytokine Trans-

forming Growth Factor β (TGF-β). Within the extracellular matrix (ECM), TGF-β

is found in a latent, inactive form bound to proteins such as fibronectin (FN). For

TGF-β to contribute to EMT induction, it has to be extracted from the latent com-

plexes into a soluble form. This soluble, activated TGF-β can then bind to receptors

on the cell membrane, which causes the transduction of signals that begin EMT. Re-

search has shown that the release …

Strength Imbalances And Shoulder Pain In Manual Wheelchair Users Stratified By Age Of Spinal Cord Injury/Disorder (Sci/D) Onset, Ashlyn M. Jones

Theses and Dissertations

Introduction The majority of manual wheelchair users (MWUs) with spinal cord injury or disorder (SCI/D) develop shoulder pain. In adults with SCI/D, there is evidence that upper limb strength imbalances are associated with shoulder pain. However, strength imbalances may indicate protective compensatory strategies, and other factors may be important contributors to pain. Currently, personalized prevention and management of pain is limited, little is known about joint strength imbalances and pain in children who use manual wheelchairs, and the effect of the age of SCI/D onset is poorly understood. The purpose of this study was to assess the effect of age …

Developing Bioinformatics Expertise Through The Annotation Of The Gut Microbiome Of Odontotaenius Disjunctus, Keidra E. Carter

Theses and Dissertations

Next-generation sequencing (NGS) technologies have revolutionized biological research by generating unprecedented volumes of genomic data, necessitating advanced bioinformatics tools and specialized expertise to fully interpret complex microbial communities. This study outlines an integrated workflow to characterize the gut microbiome of the wood-feeding beetle Odontotaenius disjunctus. Prokka is employed for functional annotation to identify protein-coding genes and other genomic features, while Kaiju is used for taxonomic classification. DIAMOND is then applied to locate and validate the taxonomic assignments generated by Kaiju by aligning sequences within the contigs to a comprehensive protein database, proGenomes. Functional analysis revealed that the contigs encode proteins …

Machine Learning-Driven Optimization For Utility-Scale Quantum Optimization, Bao Tran

Theses and Dissertations

Hard combinatorial optimization problems, often mapped to Ising models, promise potential solutions with quantum advantage but are constrained by limited qubit counts in near-term devices. We present an innovative quantum-inspired framework that dynamically compresses large Ising models to fit available quantum hardware of different sizes. Thus, we aim to bridge the gap between large-scale optimization and current hardware capabilities. Our method leverages a physics-inspired GNN architecture to capture complex interactions in Ising models and accurately predict alignments among neighboring spins (aka qubits) at ground states. By progressively merging such aligned spins, we can reduce the model size while preserving the …

Swarming Segregation: Leveraging Swarm Intelligence And Regionalization As Instruments For School District Desegregation, Jeffrey Wooten

Theses and Dissertations

Even after Brown led to the South briefly having the most diverse schools in the nation, schools throughout the Northeast have remained the most segregated in the nation for decades. While federal jurisprudence has made compelling desegregation pursuant to the Equal Protection Clause more challenging, New Jersey has a particularly favorable landscape to address severe segregation. With a highly diverse, densely populated public enrollment, favorable state constitutional precedent, and a history of successfully compelling desegregation, New Jersey is fertile ground exploring regional desegregation. Scholars, judges, and even plaintiffs in ongoing litigation (Latino Action Network v. N.J.) have called for New …

Occupational Therapy Interventions For Health, Safety, & Wellbeing In Farmers And Ranchers With Disabilities: ​ A Systematized Review, Trinity Edwards, Lauren Klone, Madilynn Edwards, Emily Morse, Danielle Westmark, Stacy Smallfield, Molly Whitlow

Student Systematized Reviews: Occupational Therapy

Objective: This systematized review synthesizes evidence on occupational therapy (OT) interventions that enhance health, safety, and participation of agriculture workers with disabilities, advancing evidence-based, context-specific approaches in OT practice.

Abstract: Background: Farmers and ranchers have higher rates of injury, disability, and chronic conditions than the general population. These challenge their health and lifestyle (National Institute for Occupational Safety and Health, 2024; Miller & Aherin, 2018; Desai et al., 2022).

Purpose: To determine the effectiveness of interventions within the scope of OT at improving safety, health, and well-being amongst agricultural workers with disabilities.

Design: We performed a systematized review of peer-reviewed …

Interventions To Improve Functional Use Of Hemiplegic Upper Extremity Post-Stroke: A Systematized Review, Brieana R. Dean, Sarah N. Wamsley, Halle Clary, Max W. Granstrom, Danielle Westmark, Bridgette Quinn, Stacey Smallfield, Molly Whitlow

Student Systematized Reviews: Occupational Therapy

Purpose: Stroke is a leading cause of long-term disability with upper limb hemiplegia, significantly limiting participation in daily life (Lee & Howe, 2024; Long et al., 2020). This systematized review was conducted to address interventions within the scope of OT used to improve functional use of hemiplegic UE for adults post-stroke. Design: A systematized review protocol was used with inclusion criteria of full-text, English-language articles addressing rehabilitation interventions for hemiplegic UEs post-stroke containing participants ranging from ages 18-85. A medical librarian at the McGoogan Health Sciences library conducted a search across multiple databases for articles meeting the criteria for the …

Using Preformed Particle Gels To Control Transport In Geothermal Reservoirs: Mathematical Modeling, Philip Winterfeld, Baojun Bai, Yu Shu Wu

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

We are developing swellable Preformed Particle Gels (PPG), which can control preferential fluid and heat flow through fracture networks to increase the performance of EGS reservoirs. Part of this development is a mathematical model and numerical simulator to simulate PPG treatments by considering coupled thermal-hydraulic-mechanical effects, and gel swelling kinetics and plugging efficiency, from which an optimized gel treatment design and operation can be achieved. The starting point for our mathematical model is the TOUGH2-CSM formulation and code. The TOUGH2-CSM fluid and heat flow formulation is based on the TOUGH2 one for multiphase, multicomponent, and multi-porosity systems, with the latter …

Predictive Modeling For Optimal Gel Treatment Design In Brownfields Using Ensemble Machine Learning And Data Upsampling Via Generative Ai, Munqith Aldhaheri, Baojun Bai, Mingzhen Wei

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Efficiently designed gel treatments play a vital role in extending the lifespan of brownfields through rejuvenating oil production. Recently, a three-mode mathematical methodology named the VCR approach has been proposed for designing effective treatments. To optimize this approach, it is crucial to determine the appropriate design mode systematically rather than relying solely on the intuitive judgments of field operators. This study introduces an advanced methodology for predicting the optimal design type of gel treatments using 12 reservoir and production variables. The methodology integrates ensemble machine-learning (EML) models with historical data from 65 field projects across 11 countries (1985-2020). The Random …

Identifying Potential Risk Areas Close To The Oil And Gas Pipelines Due To Subsidence In Qazvin Plain, Mahmoud Rajabi, Sanaz Vajedian, Ryan Smith, Neil Grigg, Hossein Nahavandchi, Mehdi Goli

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Surface displacement caused by natural and anthropogenic activities poses a significant risk to subsurface pipelines, particularly in areas experiencing subsidence. Stress and strain induced by deformation can lead to pipeline buckling and potential vulnerability. This study applies a multidisciplinary approach integrating interferometric synthetic aperture radar (InSAR) deformation analysis, well data, and geological context to assess the risk to oil and gas pipelines in Iran's Qazvin plain. The focus is on evaluating the impact of an unconfined aquifer, which has a lower risk of subsidence compared to a confined aquifer, on pipeline infrastructure. We analyzed multitemporal Sentinel-1 data collected between 2014 …

Individual Design Task Final Report Security Design, Ciarrah Bell

Honors Academy

"The Environmental Services Campus project is a comprehensive development designed to support the City of Springfield’s Environmental Services operations, with a focus on functionality, sustainability, and safety. The campus includes administrative office space, staff parking, a maintenance vehicle garage, and educational facilities aimed at community outreach. A component of the project is establishing site-wide security that not only protects personnel and assets but also integrates seamlessly with the architectural and environmental goals of the facility.

The primary focus of the Security IDT is the development and implementation of a comprehensive security strategy for the entire site. This includes designing and …

Time To Reassess: Campus Programming In The First Six Weeks And Its Impact On Belonging For First-Time Students, Joe Smith

Masters Theses

Research has shown that a student’s first six weeks of college have a strong impact on the rest of their college experience. Because of this, institutions concentrate programming efforts in the first six weeks of the academic year to increase the likelihood of positive outcomes for their first-time students. However, little research has been done on this topic in recent years. This quantitative study sought to examine first-time student event attendance in the first six weeks of the academic year and its impact on sense of belonging, which has been shown to be an important factor of the college experience. …

Enhancing Sunflower Regeneration: Molecular And Genetic Insights From Helianthus Eggertii, Owen West

Masters Theses

In vitro plant regeneration, particularly through organogenesis and somatic embryogenesis, is essential for plant transformation and crop improvement, especially in recalcitrant species like sunflower. In this study, we explore the genetic and molecular mechanisms underlying regeneration in Helianthus eggertii, a wild sunflower species with high regeneration potential. Global gene expression profiling, conducted using Oxford Nanopore sequencing across multiple time points and genotypes, identified sixty-three core differentially expressed genes (DEGs) critical to regeneration. These DEGs are associated with critical biological processes such as cell proliferation, transcriptional regulation, and photosynthesis. Among them, a sunflower WUSCHEL-related homeobox transcription factor (WOX4) showed preferential expression …

Spatiotemporal Variability In Invasive Carp Spawning Activity In Two Midwestern River Basins, Braden A. Whisler

Masters Theses

Across the United States, fisheries managers and agencies continue to battle the spread of invasive bigheaded carp (Hypophthalmichthys spp.). Although previous research has identified environmental parameters such as temperature and flow to be triggers of spawning activity, many of these studies focus on larger rivers, rarely focusing on the specific thresholds or timing of when a spawning event takes place. I utilized the differing hydrology of the Illinois and Wabash Rivers and their tributaries to examine the differences in environmental parameters needed to trigger bigheaded carp reproduction. Three mainstem sites and three tributaries of both basins were sampled …

Characterization Of The Solid-State Bonding For Simulated Charge And Seam Welds In The Porthole Die Extrusion Process, Randall L. Bowers

Theses and Dissertations--Chemical and Materials Engineering

The isothermal (ISO-T) compression configuration is ideal for utilizing as a material input of flow stress at temperature and strain rate in models of the porthole die extrusion process due to the isothermal nature of the test. Micro-tensile testing was conducted to validate the solid-state welding integrity of the ISO-T samples at various temperatures and strain rates. Results of the mechanical testing were correlated with fractography and microstructural evaluations of the welds to confirm bonding behavior. Both clean interface conditions and oxidation and lubrication layers were evaluated to simulate the difference of seam and charge welds in the process. Results …

Computational Modeling Of The Heat Treatment Of White Oak Bound For Spirit Maturation, Kate E. Mclarney-Popham

Theses and Dissertations--Chemical and Materials Engineering

Maturation of distilled spirits in white oak barrels is a long standing practice known to have great impact on spirit character. Much of this impact can be controlled by the thermal modification of the barrel, since thermal degradation of the wood determines what wood compounds are available to interact with the spirit during maturation. In this work, a computational model for the thermal degradation of wood was developed and, with flavor compound data from literature, was used to investigate the effect of heat treatment on lignin-derived flavor compounds. The computational model in this work accounted for three solid species, three …

The Optimization And Manufacturing Scale-Up Of Polymeric Membranes Using Eco-Friendly Solvents, David Lu

Theses and Dissertations--Chemical and Materials Engineering

Polymeric membranes have become a prominent technology applied in water filtration due to the lower cost, energy input, and simpler manufacturing process relative to other separation technologies. However, the environmental impact of polymeric membrane fabrication remains a hindrance due to the use of hazardous solvents derived from fossil fuels (e.g., DMAc, NMP, DMF) that pose a risk to the environment and human health. Whereas recent studies have demonstrated the proof-of-concept of polymeric membrane derived from eco-friendly solvents, the next steps of optimizing and upscaling the production of these membranes remains understudied and a gap between lab-scale studies and the path …

Combinatorial Thin Film Approach To Accelerate Materials Discovery: Development Of Nanoporous And Bulk Multi-Principal Element Alloys, Tibra Das Gupta

Theses and Dissertations--Chemical and Materials Engineering

Multi-principal element alloys (MPEAs) have garnered significant attention in materials science due to their potential for exhibiting a combination of desirable properties stemming from their unique configurational entropy. While early research focused on equiatomic compositions, recent studies have indicated that non-equiatomic MPEAs may offer superior mechanical performance. However, the identification of optimal non-equiatomic compositions remains challenging due to the vast compositional space and the reliance on time-consuming and computationally expensive methods. This dissertation presents a combinatorial thin film approach as a rapid and efficient strategy for discovering two types of materials: nanoporous and bulk MPEAs.

The first study explores the …

Microstructural Characterization Of Complex Metal Alloy Systems With A Focus On Electron Microscopy, Alexandra Allamon

Theses and Dissertations--Chemical and Materials Engineering

Multi-principal element alloys (MPEAs)/high-entropy alloys (HEAs) are a class of materials that provide novel and superior combinations of properties, with promise for use in challenging application areas that many of the current established materials cannot fit. With a higher number of constituent elements, many of the newly created alloys are compositionally complex in nature, known to contain combinations of relatively soft FCC phases, hard BCC phases, and, in some cases, even harder intermetallic phases. Microstructural study of these new materials is essential to understanding the enhanced properties they may possess, but their complexity can make this study much more challenging …

Ion Hydration In Bulk And Nanoconfined Water: Insights From Machine Learning Force Fields, Zachary D. Baker

Theses and Dissertations--Chemical and Materials Engineering

Understanding ionic hydration remains a central challenge in physical chemistry and materials science, as the interactions between ions and water molecules govern diverse phenomena ranging from electrolyte transport to selective ion separation. While experimental techniques have provided invaluable insights into solvation energetics and coordination numbers, they often lack atomistic resolution, particularly under nanoscale confinement where direct measurement becomes infeasible. Molecular dynamics (MD) simulations can bridge this gap; however, conventional classical force fields are limited by their simplified, fixed functional forms and empirical parameterization, whereas ab initio molecular dynamics (AIMD) achieves higher accuracy at the expense of severe computational cost and …

Understanding The Influence Of Applied Magnetic Field On Aluminum Alloys: Implications On Strength, Precipitate Development And Diffusion Of Solutes, Damilola David Alewi

Theses and Dissertations--Chemical and Materials Engineering

The processing of certain metals and alloys under magnetic fields presents a promising yet underexplored frontier for controlling microstructure alongside improving physical and mechanical properties. Magnetic fields can be strategically applied at different stages of materials processing, from melting and solidification to subsequent heat treatments to achieve targeted properties in materials. Although magnetic fields have been found to aid changes in microstructural evolution and phase equilibria in ferrous materials, there is limited application of this technique in non-ferrous material systems. This dissertation aims at contributing to the understanding of the influence of magnetic field on the mechanical properties and solid-state …

Modelling Leaching Using C-S-H Solid Solutions: Applied Sciences, Niall Holmes, Mark Tyrer

Research Outputs: 2025-Present

Leaching from cement can lead to a loss in performance and durability and can also have an environmental impact. Therefore, it is an important aspect to consider when new cements are being developed and where concrete is to be placed that could lead to the contamination of groundwater. Calibrated thermodynamic models can provide very useful predictions in a matter of seconds for any cement-based material. However, such models need to include accurate representations of the solid-solution nature of the C-S-H gels that are included for the incongruent dissolution of calcium and silica. This study presents the calibration of a thermodynamic …

Board # 377: Improving Graduation Outcomes In Stem: Preliminary Results From The Rise Scholars S-Stem Program, William John Palm

Engineering, Computing & Construction Management Faculty Publications

The S-STEM funded RISE Scholars Program examines the effects of engaging undergraduate students in a structured practice of science communication on their academic performance, persistence, and graduation in a STEM field. The program includes a weeklong summer bridge experience intended to develop incoming students’ curiosity, introduce science communication, and build community within the cohort; two STEM communication courses (on public speaking and science writing); and a variety of co-curricular activities with STEM and communication themes. This paper presents preliminary results on 4-year graduation outcomes. Data on academic performance and progress, as well as incoming student characteristics, were obtained from university …

Numerical Simulation And Group Homework In A Second-Year Dynamics Course, Matthew Stein

Engineering, Computing & Construction Management Faculty Publications

Roger Williams University engineering faculty believe that properly preparing students to use modern engineering tools is best accomplished through integration into coursework throughout the four-year curriculum. But this is challenging in practice, as engineering courses are already packed with essential technical content and any encumbrance to delivering this material is unwelcome. The author’s engineering mechanics course (Dynamics) is an effort to satisfy the conflicting goals of building technical skills while delivering complex content. This paper describes a multi-year effort to integrate solid modeling into the course by requiring numerical validation of symbolic solutions to homework problems. Working in homework groups, …

Artificial Intellectual Property, Daniel J. Gervais

Vanderbilt Law School Faculty Publications

The year is 2031. You just got up. Your smartwatch has registered the movement, and the coffee maker is on. After your shower, you pick up your phone or read the latest news on the New York Times app on your VR goggles or palm. Except for a few remaining columnists, the news is all written by AI machines. At work, you are responsible for a report on a new product for your company, and you use Al to design the product and prepare the pitch, including the visuals and text of your presentation to the C-suite. The Al system …

Molecular Characterization Of Leptin Gene In Sheep (Ovis Aries), Shahenda M. Hegazy, Mohamed Fouda, Ahmed Ateya, Huda A. El Emam

Mansoura Veterinary Medical Journal

INTRODUCTION: Advances in molecular genetic techniques have simplified the process of identifying individual differences at the DNA level. Genetic polymorphisms at candidate genes controlling economic features have recently drawn a lot of scholarly attention due to their potential as a tool for genetic selection and the identification of evolutionary linkages in livestock. OBJECTIVE: This work aimed to detect nucleotide sequence variants in Lep gene as genetic markers for growth and heat tolerance traits in Barki and Abudeleik sheep using PCR-DNA sequencing approach in search of single nucleotide polymorphisms (SNPs). METHODS: 30 female ewes, 15 of each breed (Barki and Aboudeleik) …

Blending Ai And Human Performance To Engage Students, Meg Gravil, Linda Gassaway

Pedagogicon Conference Proceedings

Human-powered avatars were used in an adolescent development class to engage college students and meet course objectives. Students participated in mixed-reality simulations working with middle-school parents and a small group of teenagers. Student feedback on the use of this technology was mixed and offered suggestions for future classroom implementation.

Artificial Intelligence And Its Use By Students In A Professional Program, Shirley P. O'Brien, Sara Brito, Steven Shisley

Pedagogicon Conference Proceedings

Artificial intelligence emerged as a blessing and a curse in higher education. An overview of the topic and how the presenters implemented and incorporated the Scholarship of Teaching and Learning into an assignment is highlighted. Student voice adds to the perspective enhancing engagement and learning, preparing students for future employment.