Digital Commons Network^™

A Modular Simulation Environment And B-Spline Trajectory Generation Methods For Multi-Agent Uav Systems, Landon D. Shumway

Theses and Dissertations

Multi-agent UAV systems present a complex challenge requiring solutions to numerous subproblems. This research addresses two key issues: simulation testing and path planning. A modular simulation environment is developed, enabling users to run diverse mission scenarios with heterogeneous UAV teams and to implement custom dynamic models and guidance laws. Additionally, two novel B-spline trajectory generation methods are proposed. The first generates time-synchronized B-spline paths for UAVs with arbitrary initial and final states in 2D space, accommodating scenarios where agents must follow predetermined speed profiles. The second guidance method converts spline paths between MINVO, Bézier, and non-uniform B-spline representations, leveraging the …

The Effect Of Personalized Profiles On Generating Customized Content In Artificial Intelligence Augmentative And Alternative Communication Devices, Rachel Johnson

Theses and Dissertations

With advancements in artificial intelligence (AI), several augmentative and alternative communication (AAC) devices have begun incorporating AI with the purpose of accelerating and improving message transmission for users. The results have shown that AI can significantly reduce a user's keystrokes, but the generated responses may lack personalization. The objective of this study was to investigate whether integrating a personalized profile containing user information enhances the perceived accuracy and personalization of AI generated messages. Various methods of collecting profile information and differing levels of information within the profile were evaluated. One hundred eighty-one neurotypical English-speakers with no history of language disorder …

Compliant Mechanisms For Scalable Systems And Precision Deployment, Jared Rodney Hunter

Theses and Dissertations

Compliant mechanisms offer advantages in precision applications where size, scaling, and environmental effects render traditional mechanisms inadequate or likely to fail. However, designing compliant mechanisms and integrating them into larger, more complex systems remains a challenging problem. This thesis presents work that addresses this issue with analytical models and experiments on flat springs, scalable compliant mechanisms, and origami arrays. Storing and releasing energy in tiny, flat compliant mechanisms opens the door for the design of innovative actuators and products in space-constrained situations. Scaling compliant mechanisms allows novel systems to be made that can operate across scales. By designing for scalability …

Modeling And Simulation Of Tensegrity Structures With Continuous Cables, Austin R. Brown

Theses and Dissertations

This thesis presents a novel approach for modeling and simulating tensegrity structures with continuous cables. A Python-based simulation framework package was developed to address limitations in existing tensegrity modeling software, particularly the inability to model cables passing through multiple nodes. The framework utilizes virtual work methods to solve for equilibrium configurations of 2D, 2.5D and 3D tensegrity systems. Key features include: • A YAML-based input system for easy definition of tensegrity topologies. • Algorithms for handling continuous cables spanning multiple nodes. • Optimization techniques to find stable equilibrium states. • Capability to simulate 2.5D structures wrapped around cylindrical surfaces. • …

Developing Indicators For Comprehensive Evaluation Of Equity In Transportation Systems, Ruqaya Emad Alfaris

Theses and Dissertations

Achieving transportation equity is essential for social inclusion, access to opportunities, and reducing disparities. However, traditional evaluation methods are often fragmented and fail to capture equity’s multidimensional nature. This dissertation develops a comprehensive framework for creating indicators to evaluate transportation equity effectively. It begins with a literature review to comprehend the theoretical background, followed by expert interviews highlight gaps in current evaluation practices. Statistical modeling and machine learning analysis was conducted to first explore indicators’ impact on transportation equity, and then investigate transportation safety disparities in underserved communities. Findings from literature review, interview with professionals, and analysis results are used …

The Role Full-Time Faculty Play In Retaining Students With New Initiatives Implemented By The Administration: A Qualitative Case Study, Kenyatta Collins

Theses and Dissertations

This qualitative study explored the role full-time faculty play in supporting student retention within the context of new administrative initiatives at a New Jersey community college. Grounded in the framework of faculty as institutional agents, the research investigated how faculty understood their role, engaged with retention efforts, and perceived their alignment with institutional goals. Data were collected through semi-structured interviews with full-time faculty involved in or impacted by retention initiatives. Thematic analysis revealed that while faculty were committed to student success, they experienced limited involvement in the development and communication of these initiatives. Participants expressed a need for consistent communication, …

Mechanisms Underlying Estrous Cycle-Dependent Changes In Incubated Cocaine Craving, Erin Elizabeth Wannen

Theses and Dissertations

Cues associated with cocaine use are one of the most common relapse triggers and understanding what promotes cue-induced cocaine craving and relapse is a critical question in the field. Human studies have shown that these measures are impacted by fluctuations in ovarian hormone levels, as higher levels of estradiol promote cue-induced cocaine craving in women while higher levels of progesterone reduce craving in both sexes. Enhanced or incubated cue-induced cocaine seeking or craving also changes across the rodent reproductive (estrous) cycle as levels of estradiol and progesterone fluctuate, with enhanced seeking behavior observed during the estrus stage of the cycle. …

Engineered Peptide Biomaterials And Synthetic Transmembrane Receptors For Native And Programmable Cell Interactions, Matthias Recktenwald

Theses and Dissertations

Peptide-functionalized biomaterials enable cell-material interactions through peptide-induced activation of native and synthetic receptors. This dissertation expands the clinical potential of biomaterials by harnessing native and synthetic receptor-peptide interactions. Key advancements include: (1) developing a novel method to functionalize rigid biomaterials with peptides, (2) designing antimicrobial peptide-modified hydrogels and plastics, (3) functionalizing hydrogels with N-cadherin peptides to improve stem cell manufacturing, and (4) engineering synthetic mammalian transmembrane receptors that initiate non-native intracellular responses to peptide-ligands. Using thiol-norbornene click chemistry, we functionalized rigid plastics and soft hydrogels using therapeutic peptides with spatial and temporal control. While advances in synthetic biology have enabled …

Couples And Pornography: A Dyadic Latent Profile Analysis Of Romantic Partners And Pornography Use, Michelle E. Haddock Edwards

Theses and Dissertations

Research on the outcomes of pornography use for romantic couples has been extensive yet inconclusive. Studies have examined pornography use in a wide variety of contexts, leading to a wide variety of outcomes and well-being. The current study uses latent profile analysis to account for many contextual factors at once, dyadic data to examine the perspective of both partners simultaneously, and a range of individual and relational well-being outcomes to understand how different relational pornography use patterns lead to well-being. Results provided evidence for six unique profiles of couples based on pornography use patterns (personal use frequency, perceived partner use …

New Student Orientation Programs: Understanding The Perceptions And Experiences Of First-Generation Community College Students, April J. Catching

Theses and Dissertations

This study examines first-generation community college students' perceptions of New Student Orientation programs. The research questions focus on specific aspects of students' experiences and transitions to gain an understanding of their perspectives. The objective is to see if there is a connection between what researchers ascertain are the most valuable experiences for new students and what students feel and perceive while enrolled in their first semester of college. Qualitative data was collected to provide targeted insights for improving orientation programs and practices. The research questions focused on understanding specific aspects of students’ orientation experiences and their impact on their college …

Enhancing Gpr Reliability For Concrete Infrastructure: Integrating Signal Processing And Deep Learning For Defect And Corrosion Assessment, Priyam Chowdhury

Theses and Dissertations

This research addresses the critical issue of deteriorating civil infrastructure by utilizing GPR integrated with advanced signal processing and machine learning. Employing the Conquest 100 system, four concrete slab configurations were tested: multi-layer rebar with defects, single- and double-layer rebar setups, varied rebar spacing, and pre-corroded rebars (0–30% mass loss). GPR B-scans collected over 3–60 days demonstrated that detection accuracy varied significantly with curing time, structural complexity, and moisture levels. A custom-developed Python script surpassed EKKO_Project software in rebar localization, achieving lower position errors (0.4–0.7 inches compared to 0.5–1.25 inches). Notably, the amplitude of GPR signals unexpectedly increased with corrosion …

Heat Pumps And Sustainable Building Operations: An Analysis Of Energy Efficiency, Emissions, And Life Cycle Costs, Mahdiyeh Zafaranchi

Theses and Dissertations

Heating, ventilation, and air conditioning (HVAC) systems are a major contributor to energy demand. Heat pump technologies, particularly Ground Source Heat Pumps (GSHPs) and Air Source Heat Pumps (ASHPs), have emerged as key solutions to reduce energy use worldwide. However, their adoption is challenged by economic, operational, and environmental trade-offs. This dissertation develops a comprehensive framework for evaluating the energy efficiency, lifecycle emissions, and cost-effectiveness of GSHP and ASHP systems in sustainable building operations. Through advanced energy modeling, lifecycle assessments (LCA), and lifecycle cost (LCC) analyses, this research provides data-driven insights to optimize heat pump system selection. This study is …

Incorporating Propensity Score Weighting And Nonresposne Adjustments Into Complex Survey Data With Survival Outcomes, Xinrui Shi

Theses and Dissertations

Propensity score weighting (PSW) plays a key role in minimizing confounding in observational research, especially when estimating treatment effects for time-to-event outcomes. However, its integration into survey data with complex design – particularly data with multiple stage sampling and censoring – remains underexplored. One significant challenge in such settings is the presence of nonresponse, which can introduce additional bias and complicate the use of standard weight adjustments. Moreover, there has been limited study on how PS weights can be effectively combined with nonresponse weighting adjustments in complex survey data that include survival outcomes. This dissertation aims to extend current methodologies …

The Development Of The Disclosed Reasons Of Partners' Premature Discontinuation In Couple Therapy Questionnaire (Dropped-Ct), Luca Codeca'

Theses and Dissertations

Premature discontinuation from couple therapy presents a substantial challenge for clients, therapists, and society. Inconsistent data on the frequency and reasons for premature discontinuation may be attributed to a lack of methodological rigor in assessing the phenomenon. This study addresses this gap by developing the Disclosed Reasons Of PrEmature Discontinuation in Couple Therapy Questionnaire (DROPPED-CT), a comprehensive instrument designed to assess the reasons why couples prematurely discontinue therapy. Utilizing a mixed-method approach, the DROPPED-CT was developed through the integration of qualitative and quantitative data. The questionnaire demonstrates strong potential for enhancing the consistency of construct operationalization and improving the comparability …

Study Of Capital And Operation Costs For Reverse Osmosis Desalination Plants, Habiba Mahdy Mohamed

Theses and Dissertations

Desalination is a progressively common solution to supply freshwater in numerous parts of the globe where this resource falls short. Among all desalination techniques, seawater reverse osmosis (SWRO) is the most globally prevalent technology. Evaluating a desalination technology's cost-effectiveness is essential to ensure a well-designed plant can be implemented successfully and within an acceptable budget. In the Egyptian context, where water scarcity heightens the urgency of effective resource allocation, economic indicators such as capital expenditure (CAPEX) and operational expenditure (OPEX) are pivotal in shaping policy and planning decisions. Adopting this integrated financial perspective ensures that desalination projects are not only …

Unseen Burdens: Exploring Gender Disparities In Infertility Experience And Depressive Symptoms, Khiara Cardoza Brown

Theses and Dissertations

This study examines how experiences with infertility relate to mental health outcomes among newly married U.S. couples, emphasizing gender differences and the potential moderating role of gender attitudes. Using data from 3,137 individuals in a nationally representative sample, three Actor-Partner Interdependence Models were estimated: first assessing actor and partner effects of infertility on depressive symptoms and subsequently incorporating gender attitudes as moderators. Results indicated a significant actor effect for wives, where infertility was associated with higher levels of depressive symptoms, and this association was significantly stronger for wives than for husbands. No significant effects were found for husbands' infertility and …

The Case For Visual Art In Overcoming The Double Empathy Problem, Katelyn Milea Rose Nilson

Theses and Dissertations

A person's cognitive environment--made up of their thoughts, experiences, and tendencies--can affect how they empathize with others. Those with significantly different cognitive environments, such as autistic and neurotypical individuals, may have a difficult time empathizing with one another. This study aimed to facilitate empathy between the two groups by aligning their cognitive environments through discussion about visual art. Five autistic neurotypical dyads completed three discussion sessions where they observed and journaled about a piece of art, discussed their thoughts with each other, and filled out a questionnaire about their experience. All participants also completed a post-study interview. Data from questionnaires, …

A Multiple Case Study On Cisgender Women Experiences In Electrical And Computer Engineering And Computer Science Majors, Alena Marie Degeorge

Theses and Dissertations

Gender disparities are found in Science, Technology, Engineering, and Math (STEM) education because of gender norms and stereotypes that project the ideology that men are better at those subjects than women. Women who pursue a college education in STEM encounter barriers that influence them to switch to a non-STEM-related major making them part of the leaky pipeline. This case study examines the experiences that junior and senior cisgender women have while pursuing an electrical and computer engineering or computer science degree and how they overcome barriers they encounter to continue their educational pursuits in a Computer Science and Engineering (CSE) …

Understanding The Perceptions Of Campus Racial Climate Of Black Undergraduate Students At A Pwi, Solana Reyes

Theses and Dissertations

The study explores the perceptions of Black undergraduate students regarding the racial climate at a predominantly white institution (PWI). Utilizing quantitative methodologies, the research examines how Black students experience and interpret interactions, institutional policies, and campus culture as they navigate spaces often characterized by racial homogeneity. Key areas of focus include feelings of belonging, exposure to microaggressions, access to culturally relevant resources, and the role of peer and faculty support in shaping these experiences. Findings reveal a complex interplay of support and alienation, with participants reporting both affirming and discriminatory experiences. Many students highlighted the significance of student-led cultural organizations …

Investigating Solvent Effects On Crystallization Kinetics, Ibrahim Joel

Theses and Dissertations

The use of crystallization for separation is not a recent phenomenon. However, the development of efficient crystallization processes is continually being challenged by the complexity and high cost of new drug substances, coupled with stringent regulatory requirements, which add to the uncertainty surrounding drug launches by pharmaceutical enterprises. Accurate characterization of crystallization kinetics is a key step in crystallizer design, which can be influenced by several factors, including process conditions, scale, and the measurement techniques used for tracking particle evolution. These factors often lead to inconsistencies between kinetic studies, hindering rapid implementation within industrial contexts. This thesis presents a case …

From Lists To Infinite Scroll: A Comparative Analysis Of Youtube’S Two Recommendation Algorithms, Selimhan Dagtas

Theses and Dissertations

As social media platforms increasingly dominate information consumption, the role of recommendation algorithms in determining user experience has grown both in complexity and impact. This thesis investigates the behavioral patterns and algorithmic preferences embedded within YouTube’s recommendation systems, comparing long- form videos with the rapidly growing category of short-form content, YouTube Shorts. Through a combination of automated data collection, engagement metric analysis, emotional sentiment detection, and toxicity assessment, this study analyzes the evolution of content over successive recommendation depths. Using a controlled digital environment, the research explores how content recommendations change in response to user behavior, including varying watch times …

Exploring Soft Polymeric Nanoparticles For Targeted Biomolecule Delivery In Plant Cells, Mohammad Rashid

Theses and Dissertations

Safe and efficient agricultural practices require innovative technologies. Nanotechnology offers promising solutions for advancing plant agriculture by enabling the targeted delivery of biomolecules such as agrochemicals and nucleic acids. This study focuses on developing a safe nanotechnological approach for delivering molecules of interest into plant cells. We investigated the ability of four types of polymeric nanoparticles such as Polyethylene glycol N, Nʹ-dibutylethylenediamine (PEG-DB), Polyethylene glycol 2-pyrrolidin-1-yl-ethyl-amine (PEG-PY), Polyethyleneimine (PEI), Arabinoxylan (AX)+, and Zein+ to form conjugates with plasmid DNA (pDNA). Our findings confirm that plant-derived cationic nanopolymers, AX+ and Zein+, effectively bind negatively charged pDNA (pGFPGUSPlus) carrying a GFP reporter …

Equiangularity From Compatible Orthobiangularity, Tyler J. Myers

Theses and Dissertations

An equiangular tight frame (ETF) is an equal norm sequence of vectors in a Hilbert space whose coherence achieves equality in the Welch bound. Such sequences necessarily have minimal coherence and thus are, in some sense, as "spread out" in space as possible. ETFs have a variety of applications, such as compressed sensing and waveform design. The main problem in the study of ETFs is determining the pairs (D, N) for which an ETF with N vectors in a D-dimensional space exists. Real ETFs are moreover equivalent to a special subset of a well-studied class of graphs known as strongly …

Constraining Nuclear Data Uncertainty Requirements For The 19F(A, N)22Na Reaction For Non-Proliferation Applications, Tyler R. M. Smith

Theses and Dissertations

This thesis explores the requirements on nuclear data uncertainties needed for the use of the ¹⁹F(α, n)²²Na reaction for nuclear non-proliferation applications. An overview of how neutrons are produced from alpha decays in a UF₆ medium is discussed. Calculation demonstrate the role nuclear data uncertainties effect the neutron yield and energy spectra as a function of enrichment.

Isotope Production Modeling In Sodium-Cooled Fast Reactors, Aaron W. Burkhardt

Theses and Dissertations

The accurate prediction of isotopic compositions in Sodium-Cooled Fast Reactors (SFRs) is essential for nuclear forensic analyses and international nuclear treaty monitoring, particularly with the increased global deployment of Generation-IV reactors. This research developed and validated a detailed computational model tailored specifically to the Prototype Fast Breeder Reactor (PFBR), employing advanced Monte Carlo neutron transport methods, sophisticated burnup modeling, and variance reduction techniques. Validation against empirical data from the Experimental Breeder Reactor-II confirmed the model’s accuracy, producing a comprehensive database of isotopic compositions across 301 assembly locations and 580 isotopes through the reactor’s initial operation and equilibrium cycle. The model …

Rotating Scatter Mask System Optimization Study For Determining Optimal Image Recreation, Seth L. Grover

Theses and Dissertations

The Rotating Scatter Mask (RSM) system is a radiation imaging technology currently limited by the mask design and governing identification algorithm parameters. To optimize the RSM design, Dakota—an optimization software—was integrated with a ray tracing code that simulates particle interactions with the RSM detector, and with the Locally Competitive Algorithm (LCA), which reconstructs the source image based on the ray tracing code’s Detector Response Matrix (DRM). Since the original ray tracing code was developed in MATLAB, it was translated into Python to improve compatibility with both Dakota and LCA. The Python version of the ray tracing code was then integrated …

Contract Quality Feature Extraction Using Llm, Aaron C. Washington

Theses and Dissertations

This study explored the potential insights generated from linguistic complexity measurements and large language model (LLM) based assessments on the quality of contract documents. By combining structured True/False prompts with log-probability analysis and ambiguity scoring, the study introduced novel contract-quality assessment methods. Results support a feature-driven approach to contract evaluation, one that offers automated, scalable insights for triaging risk and improving drafting practices. These assessment methods contribute to the growing field of legal natural language processing by offering modular tools for effective contract analysis.

Fused-Silica Microelectromechanical Systems For Relative Gravimetry, Ethan Doerstling

Theses and Dissertations

Gravimeters are devices that measure gravitational acceleration which can be used by the United States Air Force (USAF) in the areas of navigation and remote sensing. Fused-silica microelectromechanical systems (MEMS) devices offer capabilities to make inexpensive relative gravimeters with higher thermal stability than common silicon devices while maintaining good gravitational sensitivity. The fused-silica devices in this research were designed, simulated, fabricated, and tested to observe their performance as gravimeters. The devices exhibit properties of highly sensitive accelerometers but the current designs do not qualify as gravimeters. This study provides information to improve the sensitivity and stability of these fused-silica MEMS …

Leveraging Large Language Models (Llms) For Automated Generation Of Sysml V2 State Machines In Guidance, Navigation, And Control (Gnc) Systems, Andrea Louise Ames

Theses and Dissertations

Modern defense systems continue to grow in complexity, placing increasing pressure on engineering workflows to be faster and more adaptable. While Model-Based Systems Engineering (MBSE) with the emerging SysML v2 standard provides a framework for capturing system behavior, its practical use is often limited by the expertise and time required for manual modeling. This research investigates whether large language models (LLMs) can help overcome that barrier by automatically generating SysML v2 state machines from Guidance, Navigation, and Control (GNC) textual inputs. Three LLM Flowise-based models were developed and evaluated: the Structured Transformation Model (STM), which uses a structured extraction and …

In Vitro Evaluation Of A Novel Computationally Designed Anticancer Peptide In Ovarian Cancer Cell Models, Basma A. Shaala

Theses and Dissertations

Ovarian cancer remains one of the leading causes of cancer-related mortality among

women, highlighting the need for novel therapeutic agents with improved selectivity and

reduced toxicity. Anticancer peptides (ACPs) have emerged as promising candidates

due to their ability to selectively target cancer cells. In this study, the anticancer activity

of a computationally designed ACP was evaluated in vitro using the SKOV-3 ovarian

cancer cell line, with HEK cells employed as a non-cancerous control.

Cell viability was assessed using the MTT assay, and cytotoxicity was further confirmed

by the trypan blue exclusion method. Apoptosis and necrosis were analyzed using

Annexin V-FITC/Propidium …