Digital Commons Network^™

Increasing The Number Of Injections Per Cycle In A Gasoline Compression Ignition Strategy: An Experimental Study, Joshua Murray

All Theses

Gasoline Compression Ignition (GCI) is an advanced compression ignition strategy which utilizes the high octane number of gasoline to improve diesel soot and NOx emissions by enabling partially premixed injections of fuel. GCI work in the literature typically uses single, double, or triple injection strategies, with higher numbers of injections noted for their ability to achieve low MPRRs, improved soot and NOx emissions, and higher efficiency. Thus, this study extends the literature by evaluating quadruple and quintuple injection strategies for continued improvement in engine efficiency and emissions.

The experiments in this work are conducted on a heavy-duty Detroit Diesel DD13 …

Exercise-Induced Muscle Damage As A Model For Exploring The Effects Of Pain On Gait, Sydney Savage

All Theses

Persistent gait asymmetry following anterior cruciate ligament reconstruction (ACLR) is a recognized contributor to post-traumatic knee osteoarthritis, yet the independent role of pain in driving altered movement patterns remains poorly understood due to confounding factors inherent to clinical populations. This study used exercise-induced muscle damage (EIMD) as a controlled experimental model to isolate the effects of musculoskeletal pain on gait, independent of kinesiophobia, structural damage, and proprioceptive disruption. Eighteen healthy adults underwent unilateral eccentric calf-raise protocols to induce delayed onset muscle soreness (DOMS), with gait assessed at baseline, 48 hours, and 168 hours post-exercise using bilateral inertial measurement units. Outcomes …

Beyond The Interface: Human Perceptions Of Generative-Ai Chatbots As Conversational Partners, Browning W.E. Blair

All Theses

Generative AI (gen-AI) chatbots are becoming embedded in everyday communicative life, yet it remains unclear whether users perceive these systems as socially reciprocative conversational partners. Therefore, this study examines how young adults understand and interact with gen-AI chatbots, focusing on perceptions of conversational partnership, anthropomorphism, politeness, discomfort, and technical understanding. Guided by the CASA framework, Media Equation Theory, and the uncanny valley hypothesis, this study employed four semi-structured, online focus groups with 15 undergraduate students and recent college graduates in the United States. Findings indicate that participants did not broadly perceive gen-AI chatbots as conversational partners in the interpersonal sense. …

The Invisible Toll: Black College Women And The Intersection Of Academic Stress, Rest Deficiency And Exhaustion At Clemson University, Jomya Ford

All Theses

Leisure has been an under-explored aspect of Black women’s lives in higher education, particularly within predominantly white institutions (PWIs), where limited culturally relevant opportunities and racialized isolation shape daily experiences. Constraints around rest, rooted in racism and gendered expectations, continue to influence how Black college women navigate academic pressure, deficiency narratives, and exhaustion. Guided by intersectionality, this qualitative study draws on semi‑structured interviews with Black undergraduate and graduate women at a PWI to explore how cultural upbringing, institutional climates, and internalized expectations shape their definitions and practices of rest. Findings show that while participants recognize rest as necessary, they rarely …

Design And Development Of A Perfusable Hydrogel Platform With Bioprinted Human-Endothelialized Microvascular Channels, Calvin A. Chernyatinskiy

All Theses

We developed an integrated bioprinting and perfusion platform to generate vascularized hydrogel constructs that support perfusable microchannel networks. Multiple hydrogel formulations, sacrificial ink systems, device geometries, and perfusion conditions were systematically evaluated to optimize print fidelity, mechanical stability, and cellular compatibility. Internally gelling alginate–calcium carbonate hydrogels were identified as a robust matrix, providing tunable gelation kinetics and structural stability during embedded printing. In parallel, Pluronic F-127 fugitive ink enabled reliable fabrication of continuous hollow channels due to its shear-thinning behavior and efficient post-print removal.

The finalized platform integrates stereolithographically fabricated perfusion chambers with extrusion-based bioprinting to produce three-dimensional, perfusable vascular …

Micro-Solar Kiln Design: A Cost-Effective Approach For Small Landowners To Produce Higher Quality Lumber, Bart Swecker

All Theses

Small-scale and hobby sawmill operators increasingly seek low-cost methods for drying lumber to moisture contents suitable for interior use, yet conventional kiln systems are often impractical due to capital cost, power requirements, and operational complexity. While air drying remains common at small scales, many operators require a controlled finishing step to improve dimensional stability and product value. Solar kilns offer an intermediate solution between air drying and conventional kilns; however, most published designs and performance data focus on systems with capacities far larger than those typically used by small-scale operators. Consequently, limited guidance exists for micro-scale solar kilns, particularly under …

Characterizing The Molecular Response Of Embryonic Zebra Finch To Acute Sound Playback, Saidat O. Adeniran-Obey Miss

All Theses

Auditory stimuli are important cues that influence developmental plasticity in animals and are important for development and adaptation to an ever-changing environment. In the zebra finch (Taeniopygia guttata), there is evidence of adaptive developmental reprogramming in response to a prenatal ‘heat call’. Embryos exposed to this heat call exhibit changes in growth rate post-hatch, increased heat resistance, and enhanced reproductive success at maturity. However, it has long been assumed that embryonic zebra finches cannot respond to sound due to the immaturity of their auditory system. These findings raise the critical question of whether late-stage zebra finch embryos can, …

Bayesian Assembly Tool For Intelligent Digital Twin Selection, Shishir Sharma

All Theses

Digital twins can be used for system performance optimization, health monitoring, predictive maintenance, and investigating system anomalies. A ground vehicle digital twin may be assembled using representations of the subsystem models (tires, suspension system, powertrain, etc.) of different fidelity. Lower fidelity Digital Twins have relatively simpler design and physics, hence are generally computationally less expensive, but may not represent the physical system accurately. On the contrary, higher fidelity Digital Twins are generally more precise in their ability to represent the physical system, but due to complexity, are usually computationally more demanding. This thesis describes the application of Bayesian Classification within …

Depicting Cultural Nuance Through Level Design, Sydney A V Fleming

All Theses

As the audience for gaming grows and expands, gamers consistently crave new stories that are interesting and that immerse them. The ability of gamers to relate to the characters is solely dependent on conscious choices made by developers. For the story to be enjoyable and immersive, It helps to understand the character’s motivation. Why would they act this way? Would they make this choice? Understanding a character culturally is a step in the right direction to gaining this needed understanding. Conveying culture respectfully in games is always a challenge. The goal of this project is to use the Unreal Engine …

Development Of Low-Cost Triaxial Force Sensor For Measurement Of Human-Exoskeleton Interaction Forces, Hamdan Khan Sarvathullah

All Theses

Contemporary research suggests that shear force is a major contributor to discomfort and pressure injury. However, the variation of shear forces during human-exoskeleton interaction dynamics is a highly unexplored field. The high cost of commercial triaxial force sensors may be a major factor in the notable lack of research in this field. Therefore, in this paper, we present a low-cost, 3D-printed triaxial force sensor designed specifically to measure the triaxial interaction forces between an exoskeleton and its user. The triaxial force sensor uses Carbon-Black/Silicone Rubber (CB/SR) strings to measure shear forces, whereas the normal force is measured with a Force …

Exploration Of Real-Time Power Electronic Simulation On Amd Npu, Shouyu Du

All Theses

The rapid electrification of the automotive and data center sectors has created a critical demand for high-fidelity, real-time simulation of complex power electronic systems. While Hardware- in-the-Loop (HIL) simulation on Field-Programmable Gate Arrays (FPGAs) is the current industry standard, it presents significant challenges regarding development complexity and memory limita- tions. This dissertation investigates the feasibility of utilizing Neural Processing Units (NPUs)— specifically the AMD AI Engine (AIE) XDNA2 architecture—as a novel platform for real-time, deterministic circuit simulation. This study establishes a comprehensive automated modeling framework based on graph theory and Massarini’s method to derive linear state-space representations for arbitrary circuit …

Identification, Pathogenicity, And Fungicide Sensitivity Of Itersonilia Perplexans Associated With Petal Spot Of Gerbera Cut Flowers In Colombia, Matheus Beger

All Theses

Petal diseases significantly affect gerbera cut flower production, as minor visual damage renders flowers unmarketable. Among those pathogens causing petal spots, Itersonilia perplexans affects some Asteraceae plants. However, this pathogen's impact on Colombian gerbera remains poorly studied. This study was designed to fill four gaps: molecular identification of Colombian isolates, confirmation of pathogenicity, standardized culture media, and fungicide sensitivity data. Four objectives were pursued: (i) isolate and identify the causal agent through sequencing the Internal Transcribed Spacer, Small Subunit and Large Subunit from the rDNA; (ii) evaluate pathogenicity on detached gerbera petals; (iii) identify optimal culture media for I. perplexans …

Implementation Of A Local Llm Serving System For Agentic Ai, Zhiheng Ni

All Theses

This thesis presents a system that allows large AI models to run directly on personal devices instead of relying on cloud servers. Recent advances in artificial intelligence, especially large language models (LLMs), have made it possible to build powerful applications such as chatbots, coding assistants, and intelligent agents. However, most of these systems run in the cloud, which raises concerns about privacy, latency, and cost.

To address these issues, this work develops a local AI serving system that runs efficiently on a specialized hardware component called a Neural Processing Unit (NPU). The system provides a unified interface that supports multiple …

Developing Aero-Floating Treatment Wetland (Aeroftw) Scaffolds: A Non-Plastic Alternative To Conventional Plastic-Based Ftws, Ada C. Montoya Gomez

All Theses

This research was conducted to explore the possibility of constructing floating treatment wetlands (FTWs) without using plastic materials. FTWs are floating platforms that hold plants on the water’s surface, letting roots dangle within the water column, to help remove contaminants from contaminated water, especially in stormwater ponds. Many conventional FTWs are made with plastic components, such as mats and plastic cup containers, which can release microplastics into the environment over time. The goal of this project was to design and test a new type of FTW that does not depend on plastics to support FTW flotation. The study took place …

Energetic Eutectics: An Experimental And Computational Investigation On Explosive Deep Eutectic Solvents, Connor J. Parker

All Theses

This study reports on the incorporation an extreme gradient boosting (XGBoost) machine learning strategy tailored to identifying potential high-energy, insensitive explosive deep eutectic solvents. 1,1-diamino-2,2-dinitroethylene (FOX-7) was investigated as the explosive of interest in our eutectic modeling. The resulting predictions highlighted a wide range of binary compositions demonstrating significant depression from the FOX-7 melting temperature with >70% probabilities of formation. Subsequent computational investigation into select mixtures provided underlying stabilization energies and optimized mixture geometries, which were then assessed experimentally with near simulant compounds oxalyldihydrazide and 1-methyl-3- nitroguanidine replacing FOX-7.

Experimental results with these chosen simulants did not demonstrate classical eutectic …

Ai-Powered Insights In Pediatric Nephrology: Current Applications And Future Opportunities., Arwa Nada, Yamen Ahmed, Jieji Hu, Darcy K. Weidemann, Gregory H. Gorman, Eva Glenn Lecea, Ibrahim A. Sandokji, Stephen Cha, Stella Shin, Salar Bani-Hani, Sai Sudha Mannemuddhu, Rebecca L. Ruebner, Aadil Kakajiwala, Rupesh Raina, Roshan George, Rim Elchaki, Michael L. Moritz, The American Society Of Pediatric Nephrology Quality Improvement And Artificial Intelligence (Aspn Qi/Ai) Interest Group

Manuscripts, Articles, Book Chapters and Other Papers

Artificial intelligence (AI) is rapidly emerging as a transformative force in pediatric nephrology, enabling improvements in diagnostic accuracy, therapeutic precision, and operational workflows. By integrating diverse datasets-including patient histories, genomics, imaging, and longitudinal clinical records-AI-driven tools can detect subtle kidney anomalies, predict acute kidney injury, and forecast disease progression. Deep learning models, for instance, have demonstrated the potential to enhance ultrasound interpretations, refine kidney biopsy assessments, and streamline pathology evaluations. Coupled with robust decision support systems, these innovations also optimize medication dosing and dialysis regimens, ultimately improving patient outcomes. AI-powered chatbots hold promise for improving patient engagement and adherence, while …

Mechanistic Investigation Of Arsenic Removal From Drinking Water Using Metal–Organic Frameworks And Granular Activated Carbon, Mousa Almousa

Theses and Dissertations

Arsenic contamination in groundwater represents a critical environmental and public health challenge due to its high toxicity and widespread occurrence in natural aquifers. Chronic exposure to arsenic, even at trace levels, is associated with severe health effects, including skin lesions and increased cancer risk. Conventional treatment technologies, such as adsorption using activated carbon or metal oxides, often suffer from limited selectivity, regeneration difficulty, and reduced efficiency under varying pH conditions. Therefore, developing advanced sorbent materials with high capacity, selectivity, and structural stability is essential for addressing arsenic pollution in decentralized water systems.Metal–organic frameworks (MOFs) have recently emerged as promising materials …

Variable Selection Via Penalized Logistic Regression For Binary Classification, Gloria Antwi-Boasiako

Theses and Dissertations

In this study, we developed some hybrid estimators for variable selection in logistic regression by integrating the sparse local gradients (SLG) with some existing variable selection methods such as LASSO, Elastic net, SCAD, and MCP. The goal is to retain the flexibility of penalized likelihood estimation while improving the stability and interpretability of the selected model.

The finite-sample performance of the proposed methods is examined through a Monte Carlo simulation study covering low-, moderate-, and high-dimensional settings under different levels of predictor correlation. The simulation results show that incorporating SLG screening generally leads to more controlled model sizes and fewer …

Geochemical Modeling Of Co2 Sequestration In Saline Aquifer: Broom Creek Saline Aquifer, Lawrence Chima Asouzu

Theses and Dissertations

Geological carbon sequestration in deep saline aquifers is widely regarded as a critical technology for mitigating anthropogenic CO₂ emissions. This dissertation presents a formation-specific, kinetically constrained reactive transport modelling study of CO₂ storage performance in the Broom Creek Formation, a quartz- and feldspar-dominated saline aquifer in the Williston Basin, North Dakota.

A high-resolution geological model was constructed in Petrel using well logs, well tops, and Sorensen’s permeability correlation, then exported via RESCUE file into CMG GEM for dynamic reactive transport simulation. The base-case scenario involved injection of CO₂ at 15 MMScf/day for one year, followed by 199 years of post-injection …

Non-Terrestrial Colonial Security And Critical Contingency Operations, Augustine Gabriel Wesley Batten

Theses and Dissertations

Since the turn of the century, the dependence of state functionality and capability on cyber infrastructure has grown exponentially, resulting in an equally expanding list of means to exploit this dependency. Cyberattacks have demonstrated the ability to target the space industry and critical infrastructure beyond our atmosphere. The potential damage this growing threat can bring is what this research aims to prepare for and mitigate. The purpose of this research is to determine cyber-attack indicators and develop responses designed to mitigate the effects of worst-case scenarios. It is important to understand that this study included a theoretical scenario to address …

Studying The Hidden Heat: A Theoretical Approach To Better Understanding The Thermal Conditions Of The Yellowstone Volcano In Wyoming, Usa, Daniel Burke Brunson

Theses and Dissertations

Using the spatiotemporal record of the 2.1–0 Ma ignimbrite flare-up of the Yellowstone Plateau Volcanic Field (YPVF) as a proxy for batholith formation at depth, this dissertation develops and applies the Finite Difference Heat Flow Simulation (FDHFS) program to model crustal thermal evolution beneath the supervolcano. FDHFS, a modular C++ numerical simulator, solves the transient heat equation incorporating variable thermal conductivity, radiogenic heat production, and directional advection in three-dimensional Cartesian grids. Validation against analytical benchmarks and seafloor-spreading analogs confirms its fidelity for combined conduction-advection processes in heterogeneous crustal settings.

High-resolution volume–time analysis of major ignimbrite pulses (Huckleberry Ridge, Mesa Falls, …

Safety Assurance In A Collegiate Flight Program With Safety Management Systems (Sms): A Mixed-Methods Approach To Evaluating Safety Risk Control Effectiveness, Erin Dunker

Theses and Dissertations

This study examined safety assurance and the effectiveness of safety risk controls within a collegiate flight training program operating under a Safety Management System (SMS). Using a mixed-methods approach, the research integrated quantitative survey data with organizational safety performance data to evaluate how safety risk controls function across operational domains. A survey instrument, the Collegiate Aviation Safety Risk Control Effectiveness Scale (CASRICES), was developed and validated to measure perceptions of safety risk control effectiveness among respondents using Exploratory Factor Analysis (EFA), Reliability, and Construct Validity Analyses.

The EFA supported a three-factor structure consisting of Pilot Training Risk Controls, Safety Reporting …

Strengthening Teacher Retention Through Strategic Onboarding, Stacey Eger-Converse

Theses and Dissertations

The United States education system is currently facing a critical staffing crisis characterized by dwindling enrollment in teacher preparation programs and alarming rates of voluntary attrition. Each school year, school districts report difficulties filling certified positions. This cycle of departure incurs staggering fiscal costs and creates a "recursive loop" where high turnover leads to lower student performance and community dissatisfaction, which further drives teacher exits. While most new teachers participate in induction programs, districts continue to lose approximately half of their new hires, suggesting that current support structures are insufficient. This research addresses a significant gap in the literature: the …

Critical Minerals Recovery From Oil And Gas Fields Produced Water In The Bakken Formation, North Dakota, Md Jakaria

Theses and Dissertations

The growing demand for critical minerals essential to clean energy technologies presents an opportunity to transform oilfield produced water (PW) – traditionally treated as waste – into a valuable resource. This dissertation investigates the recovery potential of lithium, salts, and other critical elements from produced water in the Bakken Formation, North Dakota, and evaluates the economic feasibility of integrating such recovery processes into existing petroleum operations. Comprehensive geochemical analyses were conducted on samples collected throughout the Bakken, revealing total dissolved solids (TDS) ranging from 46,815 to 327,714 ppm and lithium concentrations exceeding 200 ppm in several wells, indicating economically recoverable …

Biomanufacturing Of Carbon-Based Fuel & Chemical Products And Beccus Solutions For De-Carbonization In Texas And The Gulf Coast, Darrell Mayon

Theses and Dissertations

This research investigates the integration of advanced biomanufacturing technologies and Bioenergy with Carbon Capture, Utilization, and Storage (BECCUS) systems to decarbonize fuel and chemical production in Texas and the Gulf Coast. The region, which leads the United States in petroleum refining, petrochemical manufacturing, and CO₂ transportation infrastructure, represents both a major source of greenhouse gas emissions and a strategic opportunity for large scale carbon mitigation. While bio-based chemicals such as bioisoprene are technically feasible and demonstrate significantly lower life cycle greenhouse gas intensities compared to fossil based counterparts, their commercial deployment remains constrained by economic and systemic barriers. The central …

Thriving Within Digital Learning Courses: Examining The Influence Of Interactions In Kinesiology Undergraduate Students, Jimmy J. Morin

Theses and Dissertations

The expansion of online and hybrid education has reshaped higher education, particularly in applied fields such as kinesiology that emphasize hands-on learning. Despite this growth, limited research has examined how specific interaction types (academic, social, and deeper life) contribute to student thriving in digital environments. This dissertation explored how interactions with faculty, staff, and peers influence holistic student success in online and hybrid kinesiology programs utilizing a three-paper dissertation approach to address this gap through complementary methods. Paper 1 synthesizes existing literature on student interactions and thriving in digital learning contexts. Paper 2 uses one-way ANOVA and ANCOVA to examine …

A Privacy-Preserving, Ai-Driven Framework For Bathroom Activity Monitoring And Health Recommendation In Elderly Care, Collins Poku Obeng

Theses and Dissertations

The rapid aging of the global population necessitates scalable, non-invasive solutions, for monitoring Activities of Daily Living (ADLs) to detect early signs of health decline. This thesis presents a novel, end-to-end framework for monitoring bathroom activities—specifically bathing, toileting, and oral hygiene—using wearable sensors, machine learning and Agentic Artificial Intelligence (AI). The research addresses three critical gaps: the lack of granular activity recognition in privacy-sensitive spaces, the need for personalized health insights without manual logging, and the cybersecurity risks inherent in deploying AI in healthcare. First, algorithms utilizing wearable humidity and accelerometer sensor data were developed to classify hygiene behaviors with …

Numerical Investigation Of Plume–Surface Interactions Using Automated Adaptive Mesh Refinement, Fahim Shahriyar

Theses and Dissertations

This work presents a numerical investigation of plume–surface interactionsusing the Direct Simulation Monte Carlo (DSMC) method, coupled with the devel opment of an automated adaptive mesh refinement (AMR) framework for rarefied flow simulations. A two-dimensional axisymmetric configuration is used to simulate the impingement of a rarefied exhaust plume on a flat surface under vacuum condi tions representative of experimental test facilities. Surface pressure, shear stress, and heat flux induced by plume impingement are computed and compared with published experimental and numerical results to validate the DSMC approach. To address the strong mesh sensitivity and computational inefficiency associ ated with uniform …

Reducing Structural Barriers In Teacher Preparation: An Improvement Science Study Of A Year-Long Residency Model In Rural Nevada, Brian Zeiszler

Theses and Dissertations

Teacher shortages in Nevada, particularly in rural school districts, have been exacerbated by structural barriers within teacher preparation programs that limit candidate progression to graduation and licensure. This study examines the Teacher Education Program (TEP) at Great Basin College (GBC) as a case to identify these barriers and evaluate the implementation of a year-long teacher residency model as a strategy for improvement. Guided by institutional theory, situated learning theory, and constructivism, this study conceptualizes candidate challenges as systemic rather than individual, focusing on how program structures influence access, persistence, and readiness for licensure.Using a qualitative-dominant mixed-methods case study design, Artifact …

Evaluating Bawaslu’S Sigaplapor For Electoral Justice In Indonesia’S 2024 Election, Nur Hidayat, Muhtar Muhtar

Jurnal Wacana Politik

This article assesses the effectiveness of the Election Violation Handling and Reporting Information System (SiGapLapor) operated by Indonesia’s Election Supervisory Body (Bawaslu) as a case of digitalising electoral oversight. Using a qualitative-exploratory case study, the research draws on document analysis (regulations, internal reports, and SiGapLapor web statistics) and semi-structured interviews and focus group discussions with election supervisors and ICT managers. Findings indicate that SiGapLapor works reasonably well as an administrative registry and an internal reporting tool, but remains weak as a participatory public complaints mechanism and as an instrument of electoral justice. Key constraints include a non-user-centred interface, predominantly manual …