Digital Commons Network^™

Viral And Host Cell Determinants Of Resistance To Complement-Mediated Killing During Parainfluenza Virus Type 5 Infection, Jenna R. Aquino

Graduate Studies Theses and Dissertations 2026

RNA viruses are a major global public health concern due to high mutation rates, zoonotic potential, and immune evasion. Parainfluenza virus 5 (PIV5) can establish persistent infections (PIs) despite encountering innate immune responses, including the complement (C′) system. RNA virus replication produces defective interfering particles (DIPs) containing truncated defective viral genomes (DVGs) that depend on standard (STD) virus for replication. DVGs are increasingly detected in natural infections and modulate type I interferon (IFN-I), but their role in the C′ system is unclear. We investigated how DVGs affect C′-mediated lysis during PIV5 infection using real-time in vitro cell viability assays. C′ …

Learning-Based Optimization For Collaborative Truck-Drone Routing And Scheduling, Ahmad A. Bany Abdelnabi

Graduate Studies Theses and Dissertations 2026

Modern delivery networks increasingly rely on innovative technologies such as drones working alongside trucks to meet rising demands for fast and efficient last–mile transportation. Hybrid truck–drone delivery offers strong potential, but its effectiveness depends on careful synchronization between trucks and drones. Although drones provide fast, direct travel, their limited endurance and the need to coordinate launch and recovery with trucks create tightly coupled routing and scheduling interactions. Poor dispatch decisions can cause truck waiting, reduce parallelism, and increase mission completion time. These challenges motivate decision frameworks that explicitly model synchronization and develop scalable methods for coordinated truck–drone operations. This dissertation …

Restoring Digital Trust: Decentralized Frameworks For Identity, Consent, And Media Provenance, Raghu N. Avula

Graduate Studies Theses and Dissertations 2026

Digital platforms are deeply embedded in modern society through centralized network architectures. As online interactions transition to the physical world handling sensitive data, user privacy and cryptographic security require enhancement beyond traditional limits. This dissertation presents a decentralized “Tri-Layer Trust Architecture” that leverages Verifiable Trust Registries, Cryptographic Binding, and Edge Verification to prioritize data sovereignty and local authentication. To demonstrate the architecture’s applicability across distinct operational environments, we implement three solutions: (1) Verifiable Presence for peer-to-peer ride-sharing via D-RideX, which encrypts biometric data on physical hardware (TEEs) and Soulbound Tokens (SBTs) to prevent impersonation without cloud database exposure; (2) Verifiable …

Understanding The Potential Biogeochemical Effects Of Alternative Restoration Materials: A Study Of Basalt And Other Materials, Cadie L. Barnes

Graduate Studies Theses and Dissertations 2026

Concern over the effects of microplastics on estuarine ecosystems and public health has prompted many restoration practitioners to switch from plastic materials to more “natural” substrates. These natural (BESE-biopolymer, cement-jute structures) and non-plastic (basalt fiber) materials should not contain harmful substances; however, their chemical composition is unknown. Natural materials may degrade faster in subtropical environments and release nutrients into surrounding waters, which is concerning for eutrophic restoration areas. Basalt fiber bags, made from melted basalt rock spun into fibers, have not been evaluated for biogeochemical impacts within estuaries. To address this knowledge gap, two field experiments and two laboratory experiments …

An Integrated Framework For Last-Mile Delivery Optimization Using Reinforcement Learning And Social Media-Based Traffic Prediction In Underdeveloped Megacities, Vasanth Bhat

Graduate Studies Theses and Dissertations 2026

Supply chain management has become increasingly critical as transportation costs rise and urban delivery systems place additional pressure on already congested networks. Last-mile delivery—the movement of goods from distribution centers to end users—represents the most expensive and operationally complex segment of the logistics process, particularly in underdeveloped megacities characterized by unpredictable traffic, limited infrastructure, and sparse real-time data. This dissertation proposes an integrated framework for optimizing last-mile delivery in such environments by combining social media–based traffic intelligence, machine learning, and deep reinforcement learning. The framework leverages unstructured, real-time data from social media platforms to enhance traffic prediction and incorporates these …

Investigation Of Exotic Phenomena In Topological Quantum Materials, Iftakhar Bin Elius

Graduate Studies Theses and Dissertations 2026

he First Quantum Revolution established quantum mechanics as the foundation of modern physics, enabling transformative technologies such as semiconductors, lasers, and transistors through prin-ciples of quantization, wave-particle duality, and uncertainty. The ongoing Second Quantum Rev-olution harnesses entanglement, superposition, and coherence to advance quantum computation, communication, simulation, and sensing. Central to this endeavor is the study of quantum mate-rials hosting novel electronic structures and emergent phases, including topological insulators and Dirac, Weyl, and nodal-line semimetals. In this thesis, using angle-resolved photoemission spec-troscopy (ARPES), transport measurements, and density functional theory (DFT) calculations, we investigate three classes of materials: (i) magnetic topological semimetals, …

Computational Modeling Of Bubble Dispersion In Alginate Hydrogel Foams For Radiologically Equivalent Biomedical Phantoms, Godson N. Brako

Graduate Studies Theses and Dissertations 2026

The foaming of hydrogels presents a promising strategy for tailoring mechanical and radiological properties to replicate biological soft tissues for biomedical phantoms. Achieving uniform and predictable void fraction distributions in alginate hydrogel foams remains a challenge due to the complex interplay between bubble dynamics, matrix rheology, and interfacial forces during the pre-gelation aeration stage. This thesis develops a Computational Fluid Dynamics framework using the transient Eulerian two-fluid approach to predict void fraction distribution in alginate hydrogel precursor solutions aerated by air injection through a bottom nozzle. The objective is to use the framework for design of the foaming system to …

Examining Team Leader Visual Dynamics And Team Performance In Pediatric Emergency Simulations, Annamarie Brosnihan

Graduate Studies Theses and Dissertations 2026

Pediatric medical emergencies are dynamic, high-intensity clinical situations that demand coordinated interdisciplinary actions for optimal patient outcomes. Effective teamwork and leadership are critical, especially during the preparatory phase. Here, team leaders define task goals, assign individual roles, and maintain situational awareness. This phase directs attention, organizes team dynamics, and ensures medical interventions are deployed properly. Medical simulations provide a unique opportunity to capture dynamic leadership behaviors in a controlled low-stakes environment using multimodal data, such as eye tracking, to gain insight into team leader cognitive processes (i.e., attention allocation and information processing). Prior research suggests that leaders who visually attend …

The Bite Model And Multi-Level Marketing: How Monat Propagates, Lilly D. Cheung

Graduate Studies Theses and Dissertations 2026

This study aims to understand how MONAT Global Corp, a Multi-Level Marketing (MLM) company, utilizes rhetoric that aligns with Steven Hassan’s BITE Model of Authoritarian Control. Hassan is a cult expert and cult survivor whose work primarily explains undue influence and thought control with BITE representing Behavior, Information, Thought, and Emotional control. The MLM MONAT is a haircare brand that operates through a recruitment-and-sales-based hierarchy, in which sellers sign up and work under one another in a layered marketing structure. To meet quotas and maintain ranks, representatives will use rhetorical strategies to recruit new sellers beneath them in their ‘downline’ …

Detonability Limits Of Liquid Fuel Cloud, Khaoula Chougag

Graduate Studies Theses and Dissertations 2026

Detonation-based propulsion systems are of significant interest owing to their high thermodynamic efficiency, rapid energy release, and favorable entropy production relative to deflagration-based systems. Liquid fuels offer practical advantages in storage and volumetric energy density, making them attractive candidates for next-generation detonation engines. This dissertation investigates the detonability characteristics of liquid hydrocarbon fuel clouds through three interconnected studies conducted in a turbulent shock-tube environment using high-speed imaging and pressure diagnostics. The first study maps the detonability limits of monodisperse n-dodecane clouds by systematically varying droplet diameter (5-50 μm) and O₂/N₂ oxidizer composition at equivalence ratios spanning ϕ = 0.8-2.0. Results …

Detection And Discrimination Of Targets In Infrared Imagery, Adam T. Cuellar

Graduate Studies Theses and Dissertations 2026

Automated infrared (IR) imagery analysis is essential for persistent surveillance, defense, and security, yet it remains difficult when sensors move and when unknown objects appear. This dissertation addresses two fundamental problems: (1) detecting small moving targets amid platform-motion induced parallax and (2) distinguishing between known stationary targets and out-of-distribution (OOD) objects.   For detecting moving targets while the platform itself is in motion, auxiliary Global Positioning System and Inertial Navigation System data are combined with image analysis. Direction Cosine Matrices from calibrated inertial measurements enable sub-pixel frame alignment unattainable with purely image-based registration. The stabilized sequence is processed by a Reed–Xiaoli …

A Framework For Optimizing Creep Model Parameters From Conventional And Accelerated Creep Tests, William D. Day

Graduate Studies Theses and Dissertations 2026

The demand for efficiency in power generation and propulsion requires higher firing temperatures and reduced cooling air consumption which raises metal temperatures. This makes simplistic creep evaluations, such as Larson-Miller and Orr-Sherby-Dorn parameters, inadequate. Finite element analysis (FEA) must simulate primary and secondary creep, predict failure, and provide design guidance. Gas turbine components, expected to last over 100,000 hours, often require extrapolation of limited test data for new materials. It is essential that robust creep simulations be developed efficiently, accurately, and effectively use limited test data.

This dissertation describes an optimized framework for efficient creep testing and rapid construction of …

Temperature And Speciation Measurements Of Aluminum-Laden Detonation Flows Via A Three-Color Wavelength Modulation Spectroscopic Sensor, Marc B. Etienne

Graduate Studies Theses and Dissertations 2026

Tunable diode lasers are widely used and are known to be great options for continuous wave lasing applications. Because of their stability and spectral selectivity, they have become an important diagnostic tool for modern combustion research. Previous combustion research, particularly those focused on solid and hybrid rocket systems, have shown that the interaction of aluminum with a reacting flow can greatly affect the dynamics and the thermochemical properties of the surrounding gas, therefore understanding the effects of aluminum-laden flows is critical for the advancement of these propulsion systems. However, due to the high degree of optical interference, high temperatures, and …

Cylinder Wake Stability Effects Of Passive Forebody Modification And Active Harmonic Actuation, Matt Duran

Graduate Studies Theses and Dissertations 2026

This dissertation investigates the manipulation of global and three-dimensional instabilities in the wake of a circular cylinder through two separate flow control methods. This study first focuses on the influence of attached leading edge forebodies as a form of passive flow control designed to introduce upstream streamline curvature, where the curvature takes the form of a concave and convex case. We demonstrate that for both cases this induced curvature significantly modifies the primary instability, which suppresses periodic vortex shedding (Von Kármán vortex street). We found an increase in critical Reynolds number of 56.6 and 60.1 for the concave and convex …

Privacy-Preserving Matrix Computations Using Homomorphic Encryption With Applications In Ai, Yang Gao

Graduate Studies Theses and Dissertations 2026

Homomorphic encryption (HE) enables computation directly on encrypted data, offering strong privacy guarantees for sensitive applications. Despite its promise, the practical adoption of HE remains limited by high computational overhead and inefficient support for fundamental operations such as matrix multiplication, sparse computation, and secure retrieval.

This dissertation addresses these challenges by developing efficient and scalable methods for privacy-preserving computation under HE. First, it presents HEGMM, a framework for secure general matrix multiplication that reduces redundant computation and improves efficiency through optimized data layouts. Second, it introduces the Compressed Sparse Sorted Column (CSSC) format for sparse matrix-vector multiplication (SpMV), enabling efficient …

Entre Dos Mundos: A First-Generation Cuban American's Journey Through Identity And Memory, Alessandra M. Gonzalez

Graduate Studies Theses and Dissertations 2026

ENTRE DOS MUNDOS (translated as “between two worlds”) explores the complexities of growing up as the eldest daughter in a Cuban American immigrant family and the tensions of navigating life between cultures. Set in Miami, the collection blends lyrical and prose poetry to examine cultural identity, diaspora, intergenerational memory, and the emotional landscape of young adulthood. Through personal narrative and historical context, ENTRE DOS MUNDOS traces the speaker’s coming-of-age amid the inherited stories of her family’s escape from Cuba and the lingering effects of displacement. The section “Yo” focuses on the psychological challenges of adolescence and early adulthood, reflecting on …

Predicting Safety And Mobility Parameters Based On Comprehensive Analytics Of Connected Vehicle Data, Lei Han

Graduate Studies Theses and Dissertations 2026

Traffic safety and mobility remain critical challenges for modern transportation systems. The emergence of connected vehicle (CV) data offers unprecedented opportunities to capture microscopic, non-aggregated driving dynamics to support precise and finer-grained traffic safety and mobility research. This dissertation develops a comprehensive CV data–driven analytical framework to advance traffic safety and mobility research across multiple roadway contexts, including intersections, segments, freeways, and urban arterial networks. For traffic safety, this research extracts both longitudinal and lateral risky driving behaviors from CV trajectories and integrates them with macro-level roadway, traffic, and visual environment features. A spatial machine learning framework is proposed for …

Benchmarking And Advancing Heterogeneous Data Reasoning With Large Language Models, Yebowen Hu

Graduate Studies Theses and Dissertations 2026

Large language models (LLMs) increasingly face complex real-world tasks requiring complex reasoning over heterogeneous inputs, including text, numbers, and structured data. This dissertation first investigates the capability boundaries of LLMs under such scenarios. Through the MeetingBank and SportsMetrics benchmarks, we show that while LLMs exhibit linguistic fluency, they struggle with factual accuracy, information density, and quantitative cross-referencing in meeting summarization and sports analysis. Using DecipherPref, a pair-wise evaluation framework grounded in the Bradley-Terry-Luce model, we further probe LLMs' inherent preferences for information-rich and lengthy inputs, and we identify critical deficiencies in financial decision-making through DeFine, where models lack precise insight …

Computational Methods For Rna 3d Structure Classification And Structural Motif Discovery, Nabila Shahnaz Khan

Graduate Studies Theses and Dissertations 2026

Non-coding RNAs perform diverse and essential cellular functions, and the study of RNA structures is expanding rapidly. The growing volume of RNA 3D structures highlights the need for efficient computational methods to identify recurring structural motifs, which are often conserved and critical to RNA function. However, the complexity and redundancy of RNA structures in existing databases pose significant challenges for motif discovery and structural analysis. To address these challenges, this dissertation presents three complementary computational approaches. First, a non-redundant RNA structural dataset, RNA-NRD, was developed to systematically reduce redundancy in RNA structural data and provide a reliable foundation for downstream …

Early-Time/High-Frequency Electromagnetic Induction Sensing For Minimal-Metal And None-Metallic Subsurface Targets, Michele Louise Maxson

Dartmouth College Ph.D Dissertations

Conventional electromagnetic induction (EMI) systems operate within the quasi-static regime, where measurements are dominated by conduction currents and are primarily sensitive to highly conductive targets and bulk soil properties. As a result, these systems exhibit limited sensitivity to low-conductivity and layered media, such as permafrost, composite materials, and minimum-metal landmines, where diagnostically relevant information resides in early-time/high-frequency electromagnetic responses, generally above 100 kHz. This limitation reflects a mismatch between conventional EMI system design and the underlying target physics, restricting the ability of standard EMI approaches to resolve fine-scale non-metallic subsurface structure.

In this thesis, I investigate early-time/high-frequency sensitivity as a …

Deep Learning Assisted Time-Resolved Optical Imaging For Surgical Guidance And Radiotherapy, Shiru Wang

Dartmouth College Ph.D Dissertations

Image-guided therapy enables clinicians to monitor treatment progress, verify accurate delivery, and make immediate adjustments. Among various imaging modalities available for this purpose, optical imaging techniques offer distinct advantages for real-time guidance through their non-ionizing nature and high temporal resolution. However, light propagation in biological tissue fundamentally limits these imaging modalities by obscuring spatial information and introducing noise artifacts. These physical constraints make it hard to accurately interpret subsurface structures and compromise the reliability of real-time guidance.

This thesis develops deep learning methods to overcome these limitations in two distinct optical imaging modalities. The first approach aims to improve time-of-flight …

Ice Stream Formation, Activation, And Evolution, Logan E. Mann

Dartmouth College Ph.D Dissertations

While the Greenland and Antarctic ice sheets deform as slow viscous fluids, ice streams are regions of ice that flow several orders of magnitude faster than the surrounding ice ridges. Ice streams form the primary drainage networks for ice sheets and are currently responsible for the majority of discharge from the West Antarctic Ice Sheet. Many catchments like the Siple Coast of West Antarctica display a complex array of flow morphologies that are not primarily determined by bed topography. Instead, flow is primarily governed by thermal conditions along the bed and in shear margins that lead to rapid till deformation. …

Generative Ai And The Purpose Of Legal Scholarship, Michael L. Smith

Faculty Articles

What does generative artificial intelligence mean for the future of legal scholarship? The topic has been the talk of the town around academic watercoolers. Some legal scholars have tried their hand at producing legal scholarship using generative Al. The accompanying commentary is varied, but advocates for the technology suggest that generative Al may become a common tool for legal scholars, leaving those who refuse to adapt at a severe disadvantage.

In this article, I contemplate a world in which legal scholars routinely use generative Al to produce academic writing. I argue that an instrumental view of legal scholarship's value-a view …

Perceptions Of Georgia Elementary School Administrators Toward Elementary Agricultural Education, Addie Tucker

Murray State Theses and Dissertations

Elementary agricultural education (EAE) is a growing component of K-12 agricultural education, yet limited research exists on how school leaders perceive its value. The purpose of this study was to explore the perceptions of Georgia elementary school administrators regarding the implementation and value of EAE programs. Specifically, this study examined elementary principals’ and district superintendents’ views on the benefits, effectiveness, and value of EAE. A descriptive research design was used. Georgia elementary principals and district superintendents with active EAE programs during the 2025-2026 academic year were surveyed in the fall of 2025. The sample consisted of 18 principals and 18 …

Beyond The Classroom: The Continuing Impact Of Brown V Board On Equitable Access To Career And Technical Education For Historically Underrepresented Students, Shannon Hood

Murray State Theses and Dissertations

Using a qualitative phenomenological design grounded in Critical Race Theory (CRT) and Culturally Relevant Pedagogy (CRP), this study examined how institutional structures, instructional practices, and community and industry partnerships shape equitable access, engagement, and outcomes in secondary Career and Technical Education (CTE) programs serving students from historically marginalized backgrounds. Semi-structured interviews were conducted with thirteen participants, including educators, administrators, and industry partners engaged in secondary CTE implementation. Thematic analysis identified recurring patterns related to leadership decision-making, instructional relevance, culturally responsive teaching practices, relational trust and advocacy, and authentic work-based learning (WBL) experiences. Findings indicate that equitable participation in CTE extends …

Career And Technical Education Readiness Trends Across Kentucky High Schools And Workforce Regions: A Longitudinal Analysis, Brittany Forgey

Murray State Theses and Dissertations

Career and Technical Education (CTE) has become an increasingly important component of Kentucky’s educational accountability system and workforce development initiatives. Despite expanded emphasis on career readiness and technical skill attainment, limited research has examined long-term trends in CTE readiness across Kentucky public high schools. The purpose of this quantitative, non-experimental, longitudinal study was to examine trends in CTE readiness indicators from 2011 through 2025. Human Capital Theory and Social Capital Theory provided the conceptual framework. Publicly available data from the Kentucky Department of Education School Report Card, KYStats, Supplemental Career and Technical Education reports, and other Kentucky Department of Education …

Immigration Judges: The Unfortunate Bellwether For Declining Federal Public-Sector Labor Rights, Hon. Mimi Tsankov

California Western International Law Journal

No abstract provided.

No Ghost In The Machine: Doubting Ai Ensoulment, Bálint Békefi

Faith and Philosophy: Journal of the Society of Christian Philosophers

No abstract provided.

Can Ai Perform Inductive Bible Study? A Case Study And Implications For Applying Ai In Biblical Studies, Shishou Chen

The Journal of Inductive Biblical Studies

This article explores the potential of employing generative AI in biblical studies, focusing on Chat GPT’s strengths and limitations to perform Inductive Bible Study (IBS). Using the Parable of the Sower (Matt 13:3b–9) as a case study, the author evaluates Chat GPT’s ability to carry out core IBS tasks, including division and the identification of Major Structural Relationships (MSRs) in Matthew and in Matthew 13, as well as interpreting Matt 13:3b–9. The study concludes that ChatGPT can serve as a valuable research assistant but cannot replace human scholars. It also proposes a responsible human-AI collaboration model, explores pedagogical applications, and …

The Journal Of Inductive Biblical Studies

The Journal of Inductive Biblical Studies

No abstract provided.