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Utility Of Model-Based And Probabilistic Approaches For Rocket Engine Affordability : Exemplified On The Rs-25 Engine, Shreyas Lakshmipuram Raghu Jan 2026

Utility Of Model-Based And Probabilistic Approaches For Rocket Engine Affordability : Exemplified On The Rs-25 Engine, Shreyas Lakshmipuram Raghu

Dissertations

Rocket engine development has historically relied on test–fail–fix (TFF) methodologies to uncover structural and fatigue deficiencies under representative operating conditions. While effective, TFF is inherently costly and schedule-intensive, often revealing life-limiting behavior late in the development lifecycle. The increasing use of additive manufacturing (AM) amplifies this challenge by introducing material property scatter and process-induced variability. Without explicit early treatment of uncertainty, these effects can increase reliance on physical testing and drive additional TFF cycles. This work presents a reliability-driven life-consistent design-bounding framework intended as an early lifecycle decision-support tool to assess and mitigate TFF risk. Although material variability is inherently …


Quantitative Metabolomics And ¹³C-Enrichment Analysis Of The Effects Of Fat10 Overexpression On Serum And Hepatocytes, Emily C. Hunt Jan 2026

Quantitative Metabolomics And ¹³C-Enrichment Analysis Of The Effects Of Fat10 Overexpression On Serum And Hepatocytes, Emily C. Hunt

Dissertations

Metabolic dysfunction-associated steatotic liver disease (MASLD), formerly known as nonalcoholic fatty liver disease, is associated with obesity and type 2 diabetes, and as the prevalence of these conditions increases, the incidence of MASLD is expected to rise. However, the mechanisms that underlie the development of MASLD are complex and incompletely understood. Previous work from our group has indicated that the human leukocyte antigen-F adjacent transcript (Fat10) is overexpressed in the LEW.1WR1 rat model, which develops features of MASLD. The objective of this work was to quantify metabolites associated with MASLD in response to Fat10 overexpression. To achieve this end, we …


Traces Of Time, Martina Valdovinos Jan 2026

Traces Of Time, Martina Valdovinos

Digressions: Literary & Art Journal

No abstract provided.


Rna-Micelles As Self-Assembling Structures For Efficient Co-Delivery Of Synergistic Sirna And Nucleoside Analogues To Treat Crc Lung Metastasis, Kai Jin, Piotr G. Rychahou, Daniel W. Binzel, B. Mark Evers, Peixuan Guo Jan 2026

Rna-Micelles As Self-Assembling Structures For Efficient Co-Delivery Of Synergistic Sirna And Nucleoside Analogues To Treat Crc Lung Metastasis, Kai Jin, Piotr G. Rychahou, Daniel W. Binzel, B. Mark Evers, Peixuan Guo

Markey Cancer Center Faculty Publications

SiRNA has been widely studied in cancer gene silencing over the last 25 years. However, few siRNA-based therapeutics have been approved by the FDA. An RNA-micelle platform provides a powerful therapeutic tool through simple one-step, high-yield production that is capable of efficient colorectal cancer lung metastasis treatment, a current lethal condition with a short survival rate post-diagnosis. Here, it is reported that the use of RNA-micelles co-carrying siRNA and nucleoside analogues to completely inhibit lung metastasis of colorectal cancer (CRC). The major advantage of the RNA-micelle is the successful co-delivery of siRNA and chemotherapeutic agent in a single delivery vehicle …


Eef2k Promotes Immune Evasion In Melanoma Via Cyclin D1–Mediated Stabilization Of Pd-L1, Yijie Ren, Darby J. Ballard, Anil Kumar, Andy F. Song, Mitiksha Gupta, Xiaofang Xiong, Xingcong Ren, Jugal Kishore Das, Jin-Ming Yang, Jianxun Song Jan 2026

Eef2k Promotes Immune Evasion In Melanoma Via Cyclin D1–Mediated Stabilization Of Pd-L1, Yijie Ren, Darby J. Ballard, Anil Kumar, Andy F. Song, Mitiksha Gupta, Xiaofang Xiong, Xingcong Ren, Jugal Kishore Das, Jin-Ming Yang, Jianxun Song

Markey Cancer Center Faculty Publications

Eukaryotic elongation factor 2 kinase (eEF2K) is a stress-responsive regulator of protein synthesis implicated in melanoma progression, but its role in tumor immune evasion remains poorly defined. We investigated how eEF2K influences programmed death ligand 1 (PD-L1) expression through modulation of Cyclin D1. We analyzed gene expression and dependency datasets from The Cancer Genome Atlas and the Cancer Dependency Map. Protein–protein interactions were assessed by co-immunoprecipitation. Cyclin D1 was inhibited pharmacologically with palbociclib. Immune responses were evaluated in murine B16-OVA and human A2058 melanoma models using flow cytometry and immunohistochemistry after genetic or pharmacologic modulation of eEF2K and Cyclin D1. …


Targeting Rsk2 Reverses Endocrine Resistance In Er-Positive Breast Cancer Via Inhibiting The C-Myc–Erbb4 Signaling Pathway, Ting Jiang, Shilong Jiang, Yueying Cheng, Xiaohui Yu, Zonglin Chen, Hang Li, Shijun Cao, Zhongyuan Xiang, Ruigang Zhao, Wenjun Yi, Jinming Yang, Yan Cheng Jan 2026

Targeting Rsk2 Reverses Endocrine Resistance In Er-Positive Breast Cancer Via Inhibiting The C-Myc–Erbb4 Signaling Pathway, Ting Jiang, Shilong Jiang, Yueying Cheng, Xiaohui Yu, Zonglin Chen, Hang Li, Shijun Cao, Zhongyuan Xiang, Ruigang Zhao, Wenjun Yi, Jinming Yang, Yan Cheng

Markey Cancer Center Faculty Publications

Endocrine therapy remains a major adjuvant treatment for estrogen receptor (ER)-positive breast cancer, yet its clinical efficacy is frequently compromised by primary or acquired resistance, leading to tumor recurrence and poor prognosis. In this study, we identified RSK2 (p90 ribosomal S6 kinase 2) as a critical mediator of endocrine resistance in ER-positive breast cancer. Analysis of publicly available datasets and our clinical samples revealed that high expression of RSK2 is associated with unfavorable outcomes in patients treated with endocrine therapy. RSK2 overexpression confers resistance to both tamoxifen and fulvestrant, two commonly used ER antagonists. We show that RSK2 is upregulated …


Landfalling Hurricanes : Impacts Of Urban Growth On Rainfall And Flooding And Advances In Ai-Based Forecasting, Ankur Kumar Jan 2026

Landfalling Hurricanes : Impacts Of Urban Growth On Rainfall And Flooding And Advances In Ai-Based Forecasting, Ankur Kumar

Dissertations

Hurricanes remain among the most destructive natural hazards, producing widespread impacts through extreme rainfall, flooding, and damaging winds. Rapid urbanization in coastal regions further amplifies these risks by modifying land surface characteristics and increasing population, while accurately forecasting hurricane evolution remains a major challenge. This dissertation addresses these challenges through three interconnected research objectives focusing on urbanization-induced hurricane modification, hydrological response, and AI-based hurricane forecasting. The first objective investigates how incremental multi-decadal urban growth modifies hurricane rainfall distribution and rainband evolution during Hurricane Harvey (2017). Convection-permitting WRF simulations demonstrate that realistic urban growth alters boundary-layer structure, storm-relative inflow, convective organization, …


Thermodynamics Of Bubble-Through Liquid-Core Nuclear Thermal Rockets, Dakota John Santana Jan 2026

Thermodynamics Of Bubble-Through Liquid-Core Nuclear Thermal Rockets, Dakota John Santana

Dissertations

Liquid-Core Nuclear Thermal Rockets (LNTR) were originally investigated in the 1960s. Exploratory efforts have thus far been relegated to preliminary models that illustrate proof-of- concept or identify theoretical limits. Collectively they would report ranges for 𝐼𝑠𝑝 between 1000 −2000 𝑠 and thrust-to-weights between 0.5 −6. This work expands a model for the Bubbler class of LNTRs into an engineering model suitable for design exploration and system model integration. Bubblers use centrifugal force to trap molten fissile fuel while bubbling propellant radially inward to cool structural members and achieve temperatures >4500 𝐾. The Bubbler model detailed herein, dubbed Fornax, expands the …


A Guideline To Address Barriers To Mental Health Treatment Experienced By Law Enforcement Officers, Jacqueline Estrella Jan 2026

A Guideline To Address Barriers To Mental Health Treatment Experienced By Law Enforcement Officers, Jacqueline Estrella

Doctor of Nursing Practice (DNP) Scholarly Projects

Problem: Law enforcement officers are exposed to repeated trauma on the job that may negatively affect their mental health. Officers may avoid seeking mental health treatment due to police culture, stigma, and other barriers which may increase risks for suicide, absenteeism, and maladaptive coping.

Objectives: Develop an evidenced-based guideline to address barriers law enforcement officers face in seeking mental health treatment.

Methods: The National Quality Measures Clearinghouse (NQMC) Domain Framework was used to guide a literature review to identify best practices suitable for a guideline. Articles were graded for strength based on the John Hopkins Nursing Evidence Based Practice (JHNEBP) …


Diffusion Of Excitons In Thin Films Of Quantum Dots, Dustin Roberts Jan 2026

Diffusion Of Excitons In Thin Films Of Quantum Dots, Dustin Roberts

Dissertations

Quantum dots are heavily used in modern devices, such as consumer television screens, lasers, medical sensors, solar cells, and quantum computing. Their tunability and photo-stability make them candidates for a variety of applications which formerly required either dyes or significant amounts of band structure engineering. Despite all of the current and active applications, there is a gap in the current literature with regards to how energy is transported through thin films of quantum dots, and what methods may be used to control transport direction and range. The goal of this dissertation is to help fill those gaps, towards the end …


The Global Privacy Frontier: Bridging User Expectations And Ai In Mental Health Technology, Salauddin Ahmed, Mohammad Asaduzzaman Jan 2026

The Global Privacy Frontier: Bridging User Expectations And Ai In Mental Health Technology, Salauddin Ahmed, Mohammad Asaduzzaman

Student Publications

This study examines privacy concerns in AI-driven mental health apps through the lens of Communication Privacy Management (CPM) theory, utilizing qualitative research of consumer opinions on Google Play Store. It explores how global consumers articulate privacy concerns, experience boundary turbulence in online conversations, and exhibit culturally oriented privacy expectations in this high-stakes emerging tech arena. Results indicate that users are most likely to voice concerns about control and transparency of data, with ambiguous privacy policies raising suspicion. Boundary turbulence narratives, e.g., improper use of data, are most directly related to loss of trust and app abandonment, highlighting critical challenges for …


Moréteau On Law, Language & Heritage, Agustin Parise, Mariano Vitetta, Michel Séjean Jan 2026

Moréteau On Law, Language & Heritage, Agustin Parise, Mariano Vitetta, Michel Séjean

All Scholarship

No abstract provided.


Monopolizing The Harvest: Corporate Influence And Regulatory Gaps In Global Seed Governance, Mia Mahmudur Rahim Jan 2026

Monopolizing The Harvest: Corporate Influence And Regulatory Gaps In Global Seed Governance, Mia Mahmudur Rahim

Vanderbilt Journal of Transnational Law

No abstract provided.


Numerical Analysis And Simulation Of Enhanced Performance In Nanowire Cds/Cdte Solar Cells: A Pathway To Greater Than 25% Efficient Cdte Solar Cell, Riasad Badhan Jan 2026

Numerical Analysis And Simulation Of Enhanced Performance In Nanowire Cds/Cdte Solar Cells: A Pathway To Greater Than 25% Efficient Cdte Solar Cell, Riasad Badhan

Theses and Dissertations--Electrical and Computer Engineering

This Thesis finds a pathway to a significantly high-efficient CdTe based solar cell by demonstrating and harvesting the advantages of a nano-structure configuration in CdTe based solar cells. Nanowire CdS window layer and the “control”, planar CdS window layer films were fabricated in the laboratory and compared for their optical transmission and other characteristics affecting the performance of the CdS-CdTe solar cell. Numerical simulations were performed for a comparative evaluation of the embedded nanowire CdS-CdTe solar cell device and the traditional planar CdS-CdTe solar cell device. Experimentally measured spectral transmission of nanowire CdS film was used in the simulation environment. …


Robotizing Complex Welding Processes Through Imitation Learning And Generative Models From Human Demonstration, Yue Cao Jan 2026

Robotizing Complex Welding Processes Through Imitation Learning And Generative Models From Human Demonstration, Yue Cao

Theses and Dissertations--Electrical and Computer Engineering

Arc welding processes demand real-time adaptive control that current robotic systems cannot achieve autonomously. This dissertation develops a systematic framework to robotize complex welding by learning from human demonstration, integrating generative modeling, physics-informed reconstruction, and model-based imitation learning. First, human--robot collaboration systems are established for both Gas Tungsten Arc Welding (GTAW) and Double-Electrode Gas Metal Arc Welding, combining robotic teleoperation with virtual reality interfaces to capture high-quality operator demonstrations. Second, a physics-informed neural network framework reconstructs complete molten pool flow fields from high-speed imaging, enriching process understanding beyond direct sensor observation. Third, generative models, including a hybrid latent variational autoencoder …


Strain-Induced Nonvolatile Domain Switching And Tunable Elastic Modulus In Ba1-Xsrxtio3 Membrane By Phase-Field Simulation., Laveeza Ahmad Jan 2026

Strain-Induced Nonvolatile Domain Switching And Tunable Elastic Modulus In Ba1-Xsrxtio3 Membrane By Phase-Field Simulation., Laveeza Ahmad

Material Science and Engineering Dissertations

Ferroelectrics underpin a broad spectrum of technological applications due to its switchable ferroelectric polarization and the associated electro-mechanical responses under electrical, optical, thermal, and mechanical stimuli. Recent advancement in membrane technology offers new opportunities to tune ferroelectric polarizations via mechanical strains at relatively large magnitude and scale. However, its influence on the tunability of mechanical responses of the membrane remains underexplored. Herein, we developed a phase-field model for free-standing Ba1-xSrxTiO3 ferroelectric membranes with stress-free boundary conditions on top/bottom surfaces and achieved strain-induced nonvolatile ferroelectric domain switching in the membrane. It is discovered that a …


Challenges And Applications Of Fine-Grained Temporal Action Understanding: Modeling Temporal Granularity And Data Efficiency, Halil I. Helvaci Jan 2026

Challenges And Applications Of Fine-Grained Temporal Action Understanding: Modeling Temporal Granularity And Data Efficiency, Halil I. Helvaci

Theses and Dissertations--Electrical and Computer Engineering

Fine-grained Temporal Action Segmentation (TAS) has become a cornerstone of video understanding, offering dense frame-level predictions essential for clinical assessment, surgical skill evaluation, and human-computer interaction. While TAS methods have delivered strong results on coarse-grained benchmarks, two fundamental challenges persist: (1) global attention mechanisms dilute boundary information critical for subsecond precision, a phenomenon we term the temporal granularity bottleneck, and (2) dense frame-level annotation remains prohibitively expensive, with most datasets requiring exhaustive labeling of lengthy untrimmed videos. These challenges are particularly pronounced in medical domains, where sub-second primitives define clinical outcomes while expert annotation remains scarce. In this dissertation, we …


Design Of Energy-Efficient, Scalable, And Flexible Tensor Processing Architectures With Electro-Photonic Integrated Circuits, Oluwaseun Alo Jan 2026

Design Of Energy-Efficient, Scalable, And Flexible Tensor Processing Architectures With Electro-Photonic Integrated Circuits, Oluwaseun Alo

Theses and Dissertations--Electrical and Computer Engineering

In recent years, artificial intelligence has achieved remarkable success across domains such as computer vision, natural language processing, and scientific computing. This progress has been driven largely by advances in deep learning, particularly deep neural networks (DNNs), including convolutional neural networks (CNNs) and transformer-based models. While these models deliver unprecedented accuracy, often surpassing human performance, their computational complexity continues to grow rapidly due to multibillion- and trillion-parameter designs. As model sizes and deployment scales expand, the demand for energy-efficient and high-throughput hardware accelerators has intensified. Conventional electronic platforms based on CPUs, GPUs, ASICs, and FPGAs are increasingly constrained by the …


Learning-Enabled Methods For Optimal, Constrained, And Fault-Tolerant Robot Motion Planning, Charles L. Clark Jan 2026

Learning-Enabled Methods For Optimal, Constrained, And Fault-Tolerant Robot Motion Planning, Charles L. Clark

Theses and Dissertations--Electrical and Computer Engineering

Safe and efficient motion planning is a core requirement for robots operating in complex real-world environments, yet traditional model-based approaches struggle to simultaneously achieve computational efficiency, solution optimality, and the ability to handle complex constraints and potential hardware failures. This dissertation investigates how neural networks, as general purpose function approximators, can be leveraged in both traditional and novel ways to overcome these limitations and advance beyond what purely model-based methods can offer. Three distinct contributions are presented. First, a new motion planner is developed that uses ReLU neural networks to decompose the configuration space into linear cost regions, enabling existing …


Advancing Edge Intelligence: Strategies For Improving Machine Learning On Embedded Devices, Prakash Dhungana Jan 2026

Advancing Edge Intelligence: Strategies For Improving Machine Learning On Embedded Devices, Prakash Dhungana

Theses and Dissertations--Electrical and Computer Engineering

Artificial intelligence (AI) has demonstrated tremendous success in handling complex tasks across multiple domains, a leap largely attributed to complex deep neural network (DNN) architectures. However, the increasing demand for real-time processing, low latency, limited connectivity, and enhanced privacy necessitates edge intelligence, where computation is performed directly on resource-constrained embedded devices rather than relying on cloud infrastructures. While optimized TinyML techniques such as pruning, quantization, and neural architecture search (NAS) have made edge deployment feasible by significantly reducing computation and memory demands, achievable performance remains severely limited by hardware constraints. Furthermore, models deployed in highly dynamic real-world environments suffer from …


Life Story Work With A Person Living With Dementia: From Theory To Practice In The Informal Setting, Laura M. Fortenberry Ms Jan 2026

Life Story Work With A Person Living With Dementia: From Theory To Practice In The Informal Setting, Laura M. Fortenberry Ms

Master's Projects

When a family member is diagnosed with dementia, care often replaces relationships. Family members other than the primary caregiver question how they can help and contribute to care. Life story work (LSW) provides a way for family other than the primary caregiver to support care. While the approach results in a life story product (memory book, memory box, even a digital memoir), the process of having helpful conversations to create the person’s life story matters as much as the product. It enhances relationships and communication between the person with dementia and the LSW facilitator. The sense of wellbeing is improved …


App-Uh-Latch-Uh, Sarah B. Moore Jan 2026

App-Uh-Latch-Uh, Sarah B. Moore

Master's Projects

This capstone project focuses on my personal experiences with the Appalachian dialect. Using scholarship as the background of the writing, I composed a series of creative nonfiction scenes from my life to foreground what could be revealed for K-12 teachers, administrators, and anyone interested in linguistic justice or about the Appalachian dialect and education. Then, I created a guide for teachers, detailing ways to better respond to prejudice against dialect and to create a sense of linguistic justice within the classroom. Throughout the project, it became increasingly clear that, while a vast amount of research exists about dialects and English …


Philosophical System Of General T-Continuity As The Base Of Culture-Space Economics, Victor L. Tonn Jan 2026

Philosophical System Of General T-Continuity As The Base Of Culture-Space Economics, Victor L. Tonn

Faculty and Staff - Articles & Papers

This paper presents a holistic philosophical system based on systric forms, operational transformors, and T-Continuity, aiming to establish cultural foundations for Type I and II Economies. Culture-space economics bridges Earth and space, initiating universal economics for the Great Space Era. The Comprehensive Universe (『SELF』) comprises three systems supporting mutual-central, micro-private, and macro-collective economies. Humanity’s spaceward journey advances T-Continuity, with human creativity—not just technology—as the primary driver, offering hope for cosmic peace through ideal cultural-spatial economies. This paper presents a holistic philosophical system based on systric forms, operational transformors, and T-Continuity, aiming to establish cultural foundations for Type I and II …


Impacts Of Spatial Intensity Policies On Jakarta Property Prices, Stevanus J. Manahampi, M. Halley Yudhistira Jan 2026

Impacts Of Spatial Intensity Policies On Jakarta Property Prices, Stevanus J. Manahampi, M. Halley Yudhistira

Jurnal Ekonomi dan Pembangunan Indonesia

This study examines the effects of floor area ratio (FAR) and building coverage ratio (BCR) on property prices in Jakarta. Using a hdonic price mdel with data from property listings and a geographical information system (GIS) analysis, it explores how these regulations influence values across regions and property types, accounting for access to amenities and infrastructure. Results show FAR lowers prices in dense areas like Central Jakarta but raises them in less developed regions like East Jakarta. BCR effects are mixed, positive where infrastructure is strong but negative where it is weak, underscoring the need for context-specific urban planning.


Strafford County 2025 Annual Report Of The Commissioners, Treasurer, Other County Officers, And The Strafford County Delegation For The Year Ending December 31, 2025, Strafford County Representatives Jan 2026

Strafford County 2025 Annual Report Of The Commissioners, Treasurer, Other County Officers, And The Strafford County Delegation For The Year Ending December 31, 2025, Strafford County Representatives

Strafford County, NH Annual Reports

This is an annual report for 2025 containing vital statistics for Strafford County in the state of New Hampshire.


Caring For The Commons: Craft Against Plastic, Cecilia Saez Jan 2026

Caring For The Commons: Craft Against Plastic, Cecilia Saez

Graduate Student Portfolios, Professional Papers, and Capstone Projects

My aim in this Civic Engagement Project (CEP hereafter) is twofold. On the one hand, it has been an attempt to explore theoretically the contradiction between individual action and its (oftentimes non-existent) effects on the large scale of things (on a societal and environmental level). I looked at how this tension plays out on a practical level, attending particularly to the issue of single-use plastic pollution. In this regard, the project unfolded in the following practical way:  I organized and lead two workshops in which participants create reusable tote bags from old t-shirts, encouraging them to reduce reliance on single-use …


Lecture Notes On Cloud Computing (Ver. Winter 2026), Jun Li Jan 2026

Lecture Notes On Cloud Computing (Ver. Winter 2026), Jun Li

Open Educational Resources

This collection of lecture notes provides a comprehensive technical foundation for modern cloud computing, spanning from physical infrastructure to high-level application patterns. The text explores how warehouse-scale computers and virtualization transformed traditional data centers into flexible, on-demand resource pools characterized by elasticity and a pay-as-you-go economic model. Detailed chapters examine core architectural components, including Kubernetes orchestration, serverless computing (FaaS), and distributed key-value stores like Dynamo. The sources also emphasize the critical nature of fault tolerance, utilizing techniques like erasure coding and replication to manage the statistical inevitability of hardware failure. Security and management are addressed through frameworks like the Shared …


Generative Ai Peer Tutoring To Support Peer-Reviewed Source Identification And Evaluation, Rae Mair, Michelle Kelley, Taylar Wenzel, Andrea C. Borowczak, Yuqing Li, Mike Borowczak Jan 2026

Generative Ai Peer Tutoring To Support Peer-Reviewed Source Identification And Evaluation, Rae Mair, Michelle Kelley, Taylar Wenzel, Andrea C. Borowczak, Yuqing Li, Mike Borowczak

Faculty Scholarship and Creative Works

This chapter explores the design and evaluation of a generative artificial intelligence peer tutor prompt to support college students in identifying and evaluating peer-reviewed sources for academic research. Grounded in literature on peer tutoring, Socratic dialogue, and AI-supported learning, the authors describe an iterative prompt engineering process designed to transform large language models (LLMs) into Socratic-style peer tutors capable of scaffolding student reasoning without completing tasks for them. Five guiding criteria for an effective peer tutor shaped development and evaluation: cognitive congruence, step-by-step guidance, avoiding giving answers, adaptability to student level, metacognitive transparency, and following assignment directions. Across multiple human-centered …


Wright State University Magazine, 2026, Wright State Alumni Association And Wright State Foundation Jan 2026

Wright State University Magazine, 2026, Wright State Alumni Association And Wright State Foundation

Wright State University Magazine

Fifty-two page issue of the Wright State University Magazine. This magazine is published once a year and focuses on news related to Wright State alumni, faculty, staff, and friends of the university.


Growing With Purpose: An Organizational Life Cycle Analysis Of Capacity, Strategy, And Client Centered Practices, Jackie Robinson Brock, Stacy Wilson, Yadira Guerrero-Adams Jan 2026

Growing With Purpose: An Organizational Life Cycle Analysis Of Capacity, Strategy, And Client Centered Practices, Jackie Robinson Brock, Stacy Wilson, Yadira Guerrero-Adams

Doctor of Education Capstones

Single parent families and the costs associated with child care are on the rise. The burden of single parenthood and child care costs is not limited to financial strain; emotional and psychological stressors create an additional “burden of care” (Ha et al., 2015) that is a significant factor in single-parent households. The capstone project team worked with a Virginia-based nonprofit dedicated to supporting middle income single parent families experiencing an undue burden of financial hardship amid rising child care costs. The capstone project team used an improvement science approach (Hinnant-Crawford, 2020), parallel convergent mixed methods, design, and the organizational life …