Digital Commons Network^™

Spin State Of Positronium In Two Dimensions, Emille Bryant

Theses and Dissertations

We investigate the spin state of the electron-positron system positronium to determine experimental criteria that can identify a positronium anyon. Anyons have been posited to be the basis for a truly fault-tolerant quantum computer, but they have not been indisputably observed in experimental systems. Through the analysis of the fully relativistic symmetry group of fermions and bosons in three dimensions, we investigate the symmetry of its subgroups to determine that positronium in two dimensions behaves as a scalar with respect to rotations. We conclude that positronium in two dimensions has an arbitrary relative spin orientation of annihilation photons and only …

Designing An Experiment To Create And Evaluate Behavioral Changes In Air Force Pilots' Fuel Efficiency, Jackson Macias

Theses and Dissertations

Fuel represents over 70% of the logistical resupply demand within the Department of Defense, with the United States Air Force accounting for most of that consumption. While prior fuel efficiency efforts have primarily focused on technical upgrades, this research explores how behavioral interventions can influence pilot decision-making and operational energy outcomes. Using the Theory of Planned Behavior (TPB) as a guiding framework, this study investigates the effects of targeted behavioral strategies on pilots’ attitudes, subjective norms, perceived behavioral control, intentions, and actual fuel-efficient behaviors. A quasi-experimental design was applied through a controlled pilot study using simulator flights. Six participants were …

Implementing Lean Principles To Enhance Warehouse Operations At King Abdulaziz Air Base(Kaab): A Case Study Of Royal Saudi Air Force (Rsaf), Saleh A. Alghamdi

Theses and Dissertations

The Royal Saudi Air Force (RSAF) relies on efficient logistics to sustain readiness. At King Abdulaziz Air Base, warehouse receiving inefficiencies caused delays and waste. This study used Lean principles and a six-month time–motion analysis, with Pareto and Fishbone tools, to identify 55% waste in dead pile and 75% in palletized shipments. Standard times of 5.98 and 6.55 minutes were set. Key recommendations include SOPs, cross-training, forklift certification, layout redesign, and RFID. Lean adoption could save 100+ labor hours and $4,000 annually, improving safety, accuracy, and mission readiness.

Trends And Predictive Modeling Of Real Estate Prices In Major Saudi Arabia Cities, Meshal S. Aldahas

Theses and Dissertations

his research examines historical trends and explanatory modeling of real estate prices in major Saudi cities, with a focus on Riyadh, Jeddah, and Dammam. Using a mixed-methods approach, the study integrates quantitative data from 2010–2023, including housing and macroeconomic indicators, with qualitative insights drawn from over 320 survey responses that captured consumer sentiment on affordability, job security, and housing policies. A combination of descriptive statistics, ARIMA and Exponential Smoothing techniques was applied to detect long-term patterns, seasonal variations, and market shocks. Predictive modeling was conducted using Linear Regression, Decision Trees, and Neural Networks, with results showing that job security consistently …

Modeling, Control, And Learning For Whole-Body Manipulation With Large-Scale Soft Robots, Curtis C. Johnson

Theses and Dissertations

This dissertation addresses the challenge of enabling soft robots to perform contact-rich manipulation tasks by overcoming limitations in hardware, modeling, control, and learning. First, we present hardware advancements with PneuDrive, a pneumatic control system for actuating soft robots. We also introduce Baloo, a hybrid soft-rigid robotic torso which achieves a single-arm payload capacity of 19.3 kg and robust whole-body grasping capabilities. We also develop a full-body tactile sensing system enabling piezoresistive sensor arrays to cover large areas (1 square meter) with over 8000 distributed sensing points. Second, we focus on developing tractable dynamic models based on the Recursive Newton-Euler algorithm …

An Antioxidant Approach To Ameliorate The Effects Of Radiation And Chemotherapy On Cognition, Raymond Anan Otoo

Theses and Dissertations

Acute Lymphoblastic Leukemia (ALL) is a hematologic malignancy that primarily affects children and young adults. While advancements in treatment—including chemotherapy and cranial irradiation—have significantly improved 5-year survival rates in children to nearly 90%, radiation-induced cognitive impairment (RICI) remains a persistent and debilitating side effect. The brain, particularly the hippocampus, is highly susceptible to radiation-induced oxidative stress and inflammation. In the treatment of ALL, the combined use of chemotherapy and radiotherapy contributes to a heightened oxidative burden, exacerbating the risk of cognitive dysfunction. Although previous studies have linked radiation exposure to neurocognitive decline, the molecular mechanisms underlying RICI and chemotherapy-induced cognitive …

The Relationship Between Effort Cost Decision Making, Consummatory/Anticipatory Pleasure, And Health Behaviors In Schizotypy, Adriann Lai

Theses and Dissertations

Motivational and hedonic deficits are not well studied in schizotypy as they relate to health behaviors. Nonclinical undergraduate participants (n= 247) completed self-report measures and a behavioral task (EEfRT) that assessed effort cost decision making. Social anhedonia was positively associated with increased effort but simultaneously reduced responsiveness to increasing rewards, indicating inefficient effort allocation. Consummatory pleasure was the more relevant hedonic predictor of effort, rather than anticipatory pleasure. In exploratory analyses, higher positive schizotypy scores were significantly associated with greater consummatory pleasure, while disorganized schizotypy was unrelated to pleasure indices or effort performance. In secondary hypothesis analyses, all schizotypy traits …

Exploring The Effects Of Culturally Relevant Pedagogy On Literacy Achievement, Sarah Fisher

Theses and Dissertations

This study examined the impact of culturally relevant pedagogy and how multicultural mentor texts could support a third grade student who has been identified as a struggling reader over the course of six weeks. This study was guided by these research questions: What happens when a struggling reader receives culturally relevant pedagogy? How does culturally relevant instruction impact engagement in literacy? What specific literacy skills improve based on culturally relevant instruction? The findings indicate that the student who participated in this study demonstrated growth in engagement and higher order comprehension skills.

Rethinking The Red Zone: Risk Factors Of College Student Dating Violence Victimization During The Fall Semester, Alexandra Nicoletti

Theses and Dissertations

College students experience dating violence (DV) victimization at alarmingly high rates, which is associated with a variety of negative outcomes (Brewer & Thomas, 2019; Choi et al., 2017; Leemis et al., 2022). To implement effective prevention programming, it is important to understand the risk factors associated with DV victimization on college campuses. Further, college students report the highest rates of one type of DV victimization—sexual victimization—during the fall semester, also known as the “red zone” (Carey et al., 2018, Cranney, 2015). This study utilized the socioecological model to understand which individual-, relationship-, and community-level risk factors were associated with DV …

Development Of Novel Small Molecules As Potential Anti Cancer Agents, Robert John Chitren

Theses and Dissertations

This doctoral thesis explores the discovery and characterization of two novel small molecules, designated as KS100 and (R,S’)-MNF, with potential anti-cancer properties. The study encompasses a comprehensive investigation into the molecular mechanisms underlying the anti-cancer effects of these compounds, as well as their therapeutic potential in preclinical models. These findings highlight the potential of KS100 and (R,S’)-MNF as lead candidates for cancer therapy, paving the way for further preclinical development and clinical translation.

Cultivating Climate And Culture: New Jersey Principals' Use Of Sel In Pk-12 Schools, Michelle Papa

Theses and Dissertations

The purpose of this qualitative, intrinsic case study is to explore how PK-12 principals in New Jersey perceive their approaches to leadership through their own social and emotional learning (SEL). With growing demands placed on school leaders, the study examines how principals integrate the five SEL competencies (self-awareness, self- management, social awareness, relationship skills, and responsible decision-making) into their leadership practices to positively impact school climate and culture. Through semi- structured interviews and document analysis, ten principals revealed that SEL is not only essential for student and staff well-being but also central to their own leadership development. Findings indicate that …

Analytical Characterization Of Artemisinin And Its Derivatives Using High Performance Liquid Chromatography, Electrochemistry Reduction, And Fluorescence, Faraja Ombwayo

Theses and Dissertations

Artemisinin and derivatives were subjected to 37°C and room temperature conditions. When HPLC-UV analysis of both conditions was performed, there were differences in both conditions which suggested that artemisinin and derivatives degrade at 37°C. When artemisinin was electrochemically reduced, new peaks were generated and LC-MS analysis of the reduced artemisinin indicated that either new molecules or molecular reorganization was formed. These electrochemical reduction molecules (products) were deemed analogous to the artemisinin reduction occurring in-vivo after oral administration. Fluorescence analysis of artemisinin and derivatives were performed in the presence of dipyridamole. Dipyridamole intensity was observed to decrease when artemisinin or its …

Aligning Novice Special Educators Classroom Practices, Mentoring Support, And Needs With Discrit Classroom Ecology, Kaitlyn Stillwagon

Theses and Dissertations

This multiple case study investigates the alignment of novice special educators’ classroom practices, mentoring supports, and expressed needs with DisCrit Classroom Ecology. Situated in a large, urban city in the Northeast United States, this study centers the experiences of novice special educators and their mentors to examine this alignment to uncover gaps and best practices for improved mentoring support for novice special educators. Data were collected through semi-structured interviews, classroom artifacts, and teacher reflection journals. Thematic analysis using both deductive and inductive coding revealed that novice special educators demonstrated emerging entry points toward DisCrit aligned practices, particularly in the use …

Engineering Protein Linkers For Optimized Telsam-Darpin Fusion And Crystallization With Electric Field-Based Polymer Orientation, Maria Jose Pedroza Romo

Theses and Dissertations

Fusing a variant of the sterile alpha motif domain of the human translocation ETS leukemia protein (TELSAM) to a protein of interest significantly enhances crystallization and diffraction quality. TELSAM is a pH-dependent, polymer-forming crystallization chaperone that, when covalently fused to a protein, forms a well-ordered crystal lattice. However, the success of this method depends on two factors: 1) the design of the linker connecting TELSAM to the target protein, which influences both crystal packing and target orientation, and 2) the prevention of TELSAM polymer flipping, a phenomenon that disrupts lattice periodicity and impairs structure determination. To address the first challenge, …

Cost-Effectiveness Model For Reservoir Sediment Management Economics, Connor Ronald Hale

Theses and Dissertations

Reservoir sediment deposition poses a challenge to sustainable water supplies around the world. Sediment management has proven to be an expensive endeavor. Two models have been developed to guide economic analysis for reservoir sediment management, namely the Reservoir Sediment Economics Model (RSEM) and the Reservoir Conservation Model 2 (RESCON 2). While these are helpful tools for benefit-cost prefeasibility studies, they rely heavily on sometimes elusive estimations of the benefits of water supply. In this study, a new method for economic analysis is proposed that foregoes benefit-cost analysis in favor of a cost-effectiveness approach. The Sediment Management Cost-Effectiveness Model ranks sediment …

Oxidation Resistance And Osmotic Energy Harvesting Applications Of Reduced Graphene Oxide Forward Osmosis Membranes, Michael Appiah-Kubi

Theses and Dissertations

Reduced graphene oxide (RGO) forward osmosis (FO) membranes have emerged as promising candidates for efficient wastewater management and osmotic energy harvesting, due to their enhanced chemical stability and superior FO performance for low-energy waste brine treatments, such as volume reduction of oxidative chromium brine for cost-effective disposal. This dissertation first examines the oxidation resistance of RGO forward osmosis membranes against chromate Cr (VI). Our findings reveal that both the water flux and the reverse salt flux of RGO membranes are suppressed, accompanying an enhanced reverse flux selectivity after exposure to an acidic medium of Cr (VI) (pH 2.0-7.0). Meanwhile, the …

Satellite-Based Identification Of Mesoscale And Submesoscale Eddies And Fronts In The Gulf Of Mexico, Ethan Cruz

Theses and Dissertations

Mesoscale and submesoscale processes in the Gulf of Mexico (GoM) are fundamental in shaping the region’s physical and biogeochemical ocean dynamics. Advances in high-resolution satellite observations now allow detailed detection of submesoscale (< 25 km radius) and mesoscale eddies and ocean fronts, which drive heat, nutrient, and carbon fluxes. This dissertation integrates two complementary investigations: (1) a comparison of eddy-tracking algorithms: Contour Tracing (CT) and Temperature Thresholding (TT), applied to Optimum Interpolation Sea Surface Temperature (OISST, 1/4°) and Operational Sea Surface Temperature and Ice Analysis (OSTIA, 1/20°) products; and (2) a comparative evaluation of three ocean front detection algorithms: Canny Edge Detection (Canny), the Cayula–Cornillon Algorithm (CCA), and the Belkin–O’Reilly Algorithm (BOA), across multiple satellite-derived parameters, including sea surface temperature (SST), sea surface salinity (SSS), chlorophyll-a (Chl-a), and altimetry-derived absolute dynamic topography (ADT). The eddy-tracking analysis shows that the higher-resolution OSTIA consistently detected more eddies than OISST, with TT performing best during winter when SST gradients were strongest. The front detection analysis, incorporating datasets from the Surface Water and Ocean Topography (SWOT) and Plankton, Aerosol, Cloud, Ocean Ecosystem (PACE) missions, was evaluated under diverse conditions, including flood and drought periods, Loop Current phase changes, and extreme weather events. A machine learning–based Gaussian Mixture Modeling (GMM) approach was also developed, providing a novel framework for dynamic front detection. By benchmarking traditional and machine learning methods, this integrated study identifies optimal algorithm–dataset combinations for resolving submesoscale and mesoscale features in the GoM, with applicability to other regions.

Köppen-Geiger Climate Effects On F-15 Readiness Spares Package Parts, Maximus A. Fan

Theses and Dissertations

Readiness Spares Packages (RSP) are critical to deployed operations. Future demands of the Air Force require squadrons to operate in different climate environments from home stations. RSPs can sustain aircraft maintenance operations for up to 30 days. Currently, failure rates of parts within the RSP are assumed to be constant. This research aims to explore whether there is a difference in F-15 RSP failure rates when Koeppen climate classifications are taken into effect. The Koeppen-Geiger system classifies area climates based on the geography, elevation, and location. The history of operations and diversity of F-15 locations make the aircraft an ideal …

Acoustic Characterization And Modeling Of Heated Supersonic Tactical Jet Aircraft And Launched Rockets, Logan Troy Mathews

Theses and Dissertations

Understanding and accurately modeling the acoustic sources and propagation of high-intensity tactical jet aircraft and rocket noise is essential for vehicle design, environmental impact assessment, and mitigation strategies. Despite progress in the understanding of these sources, significant challenges persist in both predictive modeling and noise mitigation. This dissertation advances both the characterization of full-scale supersonic tactical jet aircraft noise sources and the development of modern empirical prediction models for rocket launch noise. Across multiple measurement campaigns and modeling efforts, the work integrates advanced array signal processing, high-fidelity field measurements, and improved empirical methods to expand the physical understanding of source …

Magnetic Ordering And Dynamics In Assemblies Of Magnetite Nanoparticles Throughout The Superparamagnetic Transition, Johnathon Michael Rackham

Theses and Dissertations

Magnetic nanoparticles are used in nanotechnologies and biomedical applications, such as drug targeting, hyperthermia treatment, MRI contrasting agents, and bio-separation of compound solutions. Magnetite (Fe3O4) nanoparticles stand to be effective in these roles due to the non-toxic nature of magnetite and its strong magnetization. To this end, a greater understanding of the magnetic behavior of the individual magnetite nanoparticles is needed when a collection of them is used. This research seeks to discover the local magnetic ordering and dynamics of fluctuations of ensembles of magnetite nanoparticles at various stages of the magnetization process, throughout the superparamagnetic blocking transitions, and for …

Re-Engaging Driver Attention Using Chatgpt: A Multimodal Study On Stress Impact And Driving Performance, Alaa Zaki Elfiqi

Theses and Dissertations

Driving is considered a complex task that requires continuous focus and attention from the driver. Driving performance can also be impacted by changes in the driver’s stress level. However, limited research explores methods to address this challenge. With the current advances in Large Language Models (LLMs) and their ability to engage in human-like interaction, this study investigates the potential of using ChatGPT, designed to speak Egyptian Arabic, in re-engaging driver attention under different driving scenarios for low-stress and high-stress conditions within a virtual reality (VR) environment driving simulator. Drivers were asked to follow a leading car into two scenarios with …

Evaluating Adjustment And Proficiency Disparities In Virtual Reality, Mohammad Jahed Murad Sunny

Theses and Dissertations

The rapid integration of VR in various application domains necessitates a deeper understanding of how levels of user experience impact user performance and task efficiency. This study investigates the relationship between experience with VR, expertise in 3d computer gaming, and physiological skills across multiple performance metrics, such as task-completion time, task load, accuracy, manipulation speed, and related spatial requirements. In a comprehensive analysis of multiple levels of VR experience and 3d computer-game expertise, we identified key trends that indicate increased experience in both domains significantly enhances task efficiency while at the same time reduces perceived workload and improves task accuracy. …

Exposure To Zinc Oxide Nanoparticles Reveals A Death Resistance Mechanism In Dictyostelium Discoideum, Zoya Nadeem Faruqui

Theses and Dissertations

Zinc oxide nanoparticles (ZnO NPs) are very versatile due to their multifunctional properties including unique physicochemical and antimicrobial characteristics. They are widely utilized across various fields such as biomedical, industrial fields, environmental remediation, and agriculture. Therefore, their cytotoxic effects on biological systems necessitate a deeper understanding of the cellular responses to nanoparticle exposure. This project primarily investigates the impact of ZnO NPs on the model organism Dictyostelium discoideum AX4 (social amoeba) which has not been examined before unlike a vast variety of organisms in the literature. The cytotoxic effects of ZnO NPs on Dictyostelium discoideum AX4 cells are compared with …

The Impact Of Interactive Read-Alouds On Students’ Literacy Development, Kaitlyn Hill

Theses and Dissertations

This thesis examined how multicultural interactive read-alouds support first-graders’ literacy skills and cultural awareness. Multicultural literature was used to conduct interactive read-alouds to first-grade students. A look across all data sources suggested three main themes that occur throughout the research study. These themes included student engagement and questioning, making connections by experiencing culture through an authentic lens, and developing cultural awareness and empathy for those who are different. It was evident that incorporating multicultural literature into classroom instruction had a positive impact on students’ literacy development and cultural awareness. The data suggested that these multicultural texts supported the students’ development …

Mitigating Ultrasonic Attack On Drones Using Meta-Material Acoustic Resonators, Corey Thomas Churgin

Theses and Dissertations

The purpose of this research was to reproduce ultrasonic attacks on consumer drone gyroscopes and mitigate the attacks using specifically designed meta-material acoustic resonators. Drones use a Micro Electrical Mechanical Systems (MEMS) Gyroscope for collecting flight data, due to the mechanical nature of these gyroscopes they are susceptible to being resonated at specific frequencies. For these MEMS gyroscopes the majority have a resonance frequency in the ultrasonic range, making attack imperceptible by humans. (1) A Laser Doppler Vibrometer was used to accurately measure the frequency which affects the drone’s gyroscope. (2) To mitigate the effects of the attacks acoustic resonators …

Registered Nurses' Autism Knowledge And Preparedness To Care For Autistic Patients, Bronte Elisa Weissman

Theses and Dissertations

Autistic individuals frequently report negative experiences during healthcare interactions and numerous provider-level barriers to accessing quality care, including stereotyping, perceived lack of autism knowledge, challenges with communication, and insufficient accommodations. Reports of healthcare providers’ experiences caring for autistic patients in the U.S. have largely come from physicians, who endorse inadequate training, resources, and practical guidelines. Although patients spend far more time with nurses than other healthcare providers, registered nurses (RNs)’ perspectives on caring for autistic patients in the U.S. are largely unknown and autism-focused trainings for nurses are minimal. In the current study, a survey was nationally disseminated to a …

Transition And Instability Characteristics Of The Separated Shear Layer Formed At Low Reynolds Number Over Three-Dimensional Irregular Rough Surface, Ganesh Kt Mr

Theses and Dissertations

The present experimental work investigates the effects of irregularly roughened surfaces and imposed streamwise pressure gradients on the topological, transitional, and instability characteristics of the laminar separated shear layer (SSL). Experiments are conducted in the low-speed wind tunnel for 𝑅𝑒𝑡=30000, based on the thickness of the airfoil model, t, and freestream turbulence intensity, fst = 0.8%. The airfoil model used in this study features a semicircular leading edge followed by a constant-thickness flat portion and a pitchable trailing-edge flap. Test conditions include two rough surfaces: sandblasted (SB) and sand-deposited (SD), and flap deflections: 𝛽=−30° and 𝛽=+30°, imposing adverse (APG) and …

A Contemporary Approach For Exploring The Influence Of Detoxification And Standardization Of Traditional Metallopharmaceutical Product Pharmacological And Toxicological Aspects, Malarvizhi K

Theses and Dissertations

Polyherbomineral formulation possess unique medicinal properties due to the presence of metals and minerals as integral part, as processed in addition to specific herbals. There is an increased interest in metallopharmaceuticals in clinical and research areas, because of their immense therapeutic efficiency towards multiple diseases and evidence for non-toxic claim. Sivanar Amirtham is one of the polyherbomineral Siddha medicine recommended for the treatment of various respiratory diseases and other ailments including antidote therapy for poisonous bites. The present research work attempted for standardization of Sivanar Amirtham preparation as per the traditional standard protocols (including the detoxification process of raw materials) …

Magnetic Molecularly Imprinted Polymers For Quercetin Adsorption: Fabrication, Characterization, And Application, Vinitha Ug

Theses and Dissertations

A highly selective Magnetic Molecularly Imprinted Polymer (MMIP) was developed for the detection and purification of Quercetin. The Density Functional Theory was utilized for the selection of suitable monomers based on binding energy interaction between quercetin and monomers (Acrylamide, Acrylonitrile, Methacrylic Acid). From computational studies, Acrylamide was selected as a suitable monomer for the synthesis of MMIP. Under ultrasound irradiation both quercetin and naringin imprinted materials MMIP-Q and MMIP-N were fabricated.

Compared to ultrasound-assisted synthesis, Microwave Synthesis provides uniform heat transfer throughout the reaction solution, which enables uniformity in the size of synthesised material, increases the yield of material and …

Design And Development Of Deep Learning Based Generic Platform For Promoting Precision Agriculture, Srilakshmi A

Theses and Dissertations

Precision agriculture also referred as precision farming or smart farming, is an innovative approach to agricultural management that leverages technology and data to optimize various aspects of the farming process. This approach aims to make farming more effective, sustainable, and profitable by affording farmers with the application tools and information they need to make more informed decisions.

Precision agriculture combines elements of agriculture, technology, and data science to enhance crop production, and resource utilization. Precision agriculture techniques can be highly effective in leaf disease detection within crop fields. Machine learning has been developed incredibly across multiple domains and shown it …