Digital Commons Network^™

Modeling Steady-State Navier-Stokes Flow Using Structure-Preserving Truncated Hierarchical B-Splines, Daira Sofia Velasco Vega

Theses and Dissertations

Accurate simulation of incompressible steady-state fluid flow is critical for engineering applications where mass conservation, numerical stability, and geometric fidelity are essential. This thesis develops and analyzes a structure-preserving isogeometric framework for steady-state incompressible Navier"“Stokes simulations using truncated hierarchical B-splines (THB-splines). By leveraging divergence-conforming spline spaces designed to keep the fluid's divergence exactly zero based on the mathematical de Rham complex, this method ensures the fluid remains incompressible everywhere without needing extra stabilization techniques. The use of THB-splines allows the mesh to be refined locally in areas where the flow changes sharply. It still keeps the solution smooth and ensures …

Selenium Nanoparticles Synthesized By Pulsed Laser Ablation In Liquids For Antimicrobial Applications, Tina Hesabizadeh

Theses and Dissertations

This study aimed to synthesize selenium nanoparticles (Se NPs) by Pulsed Laser Ablation in Liquids (PLAL) and investigate their antibacterial and biological effects, particularly their impact on cell viability and related biological responses. Spherical amorphous Se NPs were produced by irradiating a selenium target using a combination of bottom- and top-ablation protocols. After autoclaving, the amorphous Se NPs were converted into trigonal Se NPs. Se NPs were characterized by using Scanning Electron Microscopy (SEM), Transmission Electron Microscopy (TEM), and Fourier Transform Infrared Spectroscopy (FTIR). The biological effects of Se NPs were quantitatively assessed through evaluations of cell viability and associated …

Secure Frameworks For User Motion Data In Virtual Reality, Jayasri Sai Nikitha Guthula

Theses and Dissertations

Virtual Reality is an innovative technology transforming industries such as gaming, healthcare, and remote collaboration. The increasing deployment of these systems results in the continuous collection of telemetry data, including motion patterns, hand gestures, and spatial interactions. This data is valuable for enhancing user experiences and optimizing system performance. However, it also introduces significant privacy risks. Unlike traditional digital footprints, motion data captures fine-grained physical behaviors that can be linked to individual users, making anonymization ineffective in preventing re-identification.This research introduces secure frameworks for user motion data in virtual reality, each proposed framework addressing privacy preservation from a different angle. …

Transformation With Genes To Improve Lipid Production And Barcoding To Identify Unknown Algal Species, Michelle T. Rada

Theses and Dissertations

With the rising demand for alternative fuels, algal-based biofuels are a promising, sustainable source that meets commercial interest while producing lower greenhouse gas emissions compared to fossil fuels. This thesis explored two studies, evaluating microalgae for their future potential in lipid yield for biofuel production.

The first study involved developing a cost-efficient electroporation protocol that allowed for the genetic transformation of Chlamydomonas reinhardtii using the pChlamy_4 vector, which supports future cloning of genes to enhance lipid production. Parameters affecting DNA uptake and integration into algal genomes were studied: the effect of cell density, the settings of the electroporation device, and …

Pre-Service Teachers’ Perceptions Of Creativity In Education, Merve Topak-Jamsran

Theses and Dissertations

This study examined the relationship between pre-service teachers’ self-reported creativity and their appreciation for students’ creative characteristics. The researcher replicated Kettler et al.'s (2018) "Teacher Perceptions of Creativity in the Classroom" study of in-service teachers. Specifically, the relationship among pre-service teachers’ creative self-efficacy, self-reported personal creativity, perceived importance of promoting creativity, and their preference for student characteristics in the classroom was investigated. Data were gathered using a web-based questionnaire e-mailed to pre-service teachers in educational preparation programs in a southern U.S. state. The study sample were 92 pre-service teachers who had completed at least one practicum or who were currently …

Math Information Retrieval From Images Via Formula Extraction, Vector Embedding, And Multimodal Llm-Based Question Answering, Angel Wheelwright Crawford

Theses and Dissertations

Math Information Retrieval (MIR) aims to revolutionize the retrieval of math information by addressing the challenges in representing, retrieving, and producing highly specialized math content. In order to develop a robust MIR system, designers must be able to process math equations (MEs) to a format that different systems can use, which is difficult due to various formats math information are stored in, including visual images and document texts. To improve the usage of math information in varied forms for people who are learning and utilizing math, we propose three different methods of handling ME data. The first method is a …

Study Of Anomalous Variations In Seismic And Non-Seismic Parameters Using Machine Learning Techniques To Develop The Earthquake Forecasting Model In The Himalayan Belt, Senthil Kumar M

Theses and Dissertations

Understanding and forecasting earthquakes is not just about science it’s about saving lives, even as the dynamic and hidden nature of Earth's tectonic processes makes this an intricate challenge. The Himalayan belt is one of the most seismically active regions globally due to the collision of the Indian and Eurasian tectonic plates. Investigating this region is essential for understanding highly complicated tectonic mechanisms and reducing substantial hazards posed to millions of people by persistent and intense seismic events. This study aims to enhance forecasting methodologies by applying machine learning techniques while dealing with the inherent challenges of geological complexity and …

Design And Investigation Of Triarylamine Functionalized Luminophores For Multi-Functional And Stimuli-Responsive Applications, Sasikala R

Theses and Dissertations

Organic solid-state fluorescent materials have garnered attention over many decades in virtue of their contribution in the development of LED devices and biomedical applications. Nevertheless, the potential of fluorescent molecules in device applications was underused due to aggregation-caused quenching (ACQ) effect. The ACQ effect commonly quenches the organic molecules fluorescence intensity in the aggregated or condensed state, which can significantly influence their performance in practical applications.

The organic polyaromatic fluorophores exhibit strong fluorescence in the solution state. After culmination of years of work, Prof. Tang’s research group discovered a new phenomenon of aggregation-induced emission (AIE) in the fluorescence molecules constructed …

Performance Analysis Of University Wifi Using 802.11e Information Elements, Douglas Christopher Hales

Theses and Dissertations

Wireless networks, including IEEE 802.11 (WiFi), continue to become more important for many uses, including university classrooms. Factors that impact the performance of these networks have changed greatly over time, with increased scale at which they are used, and growing dependence of latency sensitive applications. In order to better understand the performance of current WiFi networks, a methodology was created to capture and analyze beacon frames with optional 802.11e information elements (IE), using Quality of Service enhanced Basic Service Set or QBSS load (channel utilization) and station count. This methodology is able to collect channel use more frequently than many …

Incorporating Industry-Standard Technical Writing Into A Materials Testing Laboratory, Caleb Levi Head

Theses and Dissertations

The fluid analysis and materials testing laboratories are crucial for engineering students to learn experimental procedures and data interpretation. Engineers spend a significant portion of their workday on report writing, yet many feel their undergraduate education did not adequately prepare them for this task. At the University of Arkansas at Little Rock, students were given an industry-influenced lab report template to expand their knowledge of the necessary information required in technical writing, thereby teaching and improving their technical writing skills actively. These reports were evaluated qualitatively and quantitatively against previous submissions over two semesters in the mechanical engineering fluids and …

Algorithmic Optimization Of Filter Bank: Harnessing Rapid Convergence And Its Applications, Keerthana B Ms

Theses and Dissertations

A novel optimization framework is proposed for the design of both uniform and non-uniform filter banks, aimed at improving the accuracy and computational efficiency of biomedical signal classification tasks, with a particular emphasis on the detection of sleep disorders and Alzheimer’s disease.The proposed algorithm is grounded in multirate signal processing theory and aims to achieve Near Perfect Reconstruction (NPR) with minimal computational overhead. The process begins with the optimization of a uniform cosine-modulated filter bank (CMFB), achieved through iterative frequency-domain analysis and parameter tuning. This is followed by the derivation of a non-uniform filter bank via selective merging of bandpass …

Algorithmic Optimization Of Filter Bank: Harnessing Rapid Convergence And Its Applications, Keerthana B

Theses and Dissertations

A novel optimization framework is proposed for the design of both uniform and non-uniform filter banks, aimed at improving the accuracy and computational efficiency of biomedical signal classification tasks, with a particular emphasis on the detection of sleep disorders and Alzheimer’s disease. The proposed algorithm is grounded in multirate signal processing theory and aims to achieve Near Perfect Reconstruction (NPR) with minimal computational overhead. The process begins with the optimization of a uniform cosine-modulated filter bank (CMFB), achieved through iterative frequency-domain analysis and parameter tuning.

This is followed by the derivation of a non-uniform filter bank via selective merging of …

Granulocyte-Colony Stimulating Factor Effects On The Mesolimbic Dopamine Circuitry And Adaptations With Chronic Ethanol Exposure, Rachel Ji-Hyae Campbell

Theses and Dissertations

The mesolimbic dopamine (DA) system contributes to reward and reinforcement learning for ethanol (EtOH). The nucleus accumbens (NAc) receives DA input from the ventral tegmental area (VTA) encoding rewarding information. Acute EtOH increases NAc DA levels, and this DA response is attenuated with chronic EtOH exposure. Furthermore, chronic EtOH results in reduced DA release, increased DA clearance and presynaptic D2-type auto-receptor sensitization. Further research into EtOH-induced neural adaptations that modulate NAc DA release is explored herein, including changes in cholinergic interneurons (CIN), which are known regulators of DA transmission. One potential class of regulators are immune related cytokines, that can …

Source Characterization From Near-Field Acoustic Intensity On Moving Launch Vehicles, Carson F. Cunningham

Theses and Dissertations

Rocket launches generate extremely high acoustic levels, particularly in the low-frequency range, posing risks to both launch vehicle integrity and surrounding infrastructure. This thesis investigates the use of near-field acoustic intensity measurements to localize sound sources on moving launch vehicles, with a focus on characterizing source behavior during the early phases of liftoff. Using data from the Antares 230 NG-19 mission, acoustic pressure was recorded at multiple stations surrounding the pad, and the Phase and Amplitude Gradient Estimator (PAGE) method was employed to compute intensity vectors as a function of frequency and time. Signal processing parameters were systematically evaluated, including …

A Predictive Framework For Early Detection And Personalised Monitoring Of Parkinson’S Disease Using Artificial Intelligence And Large Language Models, Priyadharshini S

Theses and Dissertations

Parkinson’s Disease (PD) is a multifaceted and progressive neurodegenerative disorder that presents a spectrum of motor and non-motor symptoms. Early and accurate diagnosis is essential for effective disease management and improved patient outcomes, yet remains clinically challenging due to symptom overlap and diagnostic limitations. This thesis proposes a comprehensive and interpretable artificial intelligence (AI)-driven diagnostic framework that aims to transform the early detection, personalised monitoring, and treatment recommendation process for PD. The proposed solution integrates deep learning, radiomics, evolutionary optimisation, and large language models (LLMs), ensuring a highly accurate and clinically adaptable system.

The research begins by analysing T2-weighted 3D …

Advancing Eye-Gaze Writing Systems With Computer Vision, And Dynamic Text Suggestions, Walid Abdallah Shobaki

Theses and Dissertations

Eye gaze writing, a novel interaction modality, has the potential to revolutionize communication for individuals with limited mobility. In our research, we investigated the deep learning algorithms efficiency for real-time eye gaze writing. We have compared many algorithms' performance in many computer vision areas, such as object detection in which we used first YOLOv8, the second algorithm SSD, and the third algorithm is Faster R-CNN, the second computer vision area is the image segmentation in which we used DeepLab and U-Net, and the last computer vision area is self-supervised learning we have used SimCLR algorithm. By evaluating these models on …

Design & Development Of Efficient Biometric Authentication And Key Agreement Schemes For Wireless Body Area Network, Aarthi S

Theses and Dissertations

Wireless Body Area Networks (WBANs) play a vital role in continuous health monitoring, where sensitive biometric and physiological data must be protected from privacy breaches and emerging quantum-based threats. Conventional security mechanisms are often inadequate due to resource constraints, scalability issues, and vulnerability to advanced attacks. To address these challenges, this research proposes a lightweight, scalable, and future-proof security framework tailored for WBAN applications, focusing on secure communication, privacy preservation, and quantum resilience.

An anonymous Certificate-Based Signcryption–Mutual Authentication and Key Agreement (CBS-MAKE) protocol is introduced to secure extra-body communications while ensuring patient anonymity. The protocol integrates Elliptic Curve Cryptography with …

A Machine Learning Approach To Quantitative X-Ray Diffraction Analysis, Spencer Snow Chandler

Theses and Dissertations

X-ray Powder Diffraction (XRPD) is a powerful method in material sciences that gives insights into the atomical and crystallographic structure of a material, revealing information into the material's properties and suitability for industrial and scientific application. In geology, XRPD analysis is frequently leveraged to identify and quantify the present mineral phases in an unknown mixture. Despite it's widespread use, interpreting XRPD patterns requires highly-specialized knowledge, making the analysis largely dependent upon the background experience of the analyst. To assist experts, computational methods have been developed over the years. Some of these techniques involve fitting diffraction patterns using pseudo-Voigt functions, which …

Approximating Transport Maps Using Minibatch Optimal Transport Plans, Dawson Collins

Theses and Dissertations

Optimal Transport theory (OT) has gained much attention in the past decades due to its rich mathematical content and striking connections to other areas of math. It has also naturally found a place in data science as a way to compare and transform probability measures. Unfortunately, there remain significant computational burdens that restrict its effectiveness in large-scale data regimes. In this thesis, we consider Minibatch Optimal Transport (MiniOT), which breaks up the task of computing the optimal transport plan between datasets into several smaller tasks of computing the optimal transport plan between minibatches of the datasets. After obtaining the minibatch …

The Role Of The Cytosolic Chaperonin Cct In The Folding And Assembly Of G Protein Complexes, Mikaila I. Sass

Theses and Dissertations

All organisms depend on cellular signaling pathways to dictate cell growth, responses to stimuli, and all other cellular functions necessary to maintain health and survival. Many of these signals rely on G protein coupled receptors (GPCRs) and their associated heterotrimeric G proteins for signal detection and transduction. To perform this function, the three subunits of the G protein must be assembled after synthesis on the ribosome. This process requires additional proteins called molecular chaperones to assist in folding of the subunits and assembly into the G protein heterotrimer. Among these chaperones, the cytosolic chaperonin CCT plays an essential role in …

A New Approach To Stability Of Delay Differential Equations With Time-Varying Delays Via Isospectral Reduction, Quinlan Leishman

Theses and Dissertations

Understanding how time delays impact the stability of a delay differential equation is important for modeling many natural and technological systems that experience time delays. Here we introduce a new stability criterion for delay-independent stability of these equations, called intrinsic stability, showing global exponential stability for a large class of nonautonomous nonlinear systems. Our approach is able to incorporate bounded time-varying delays, including those with certain types of discontinuities. The approach we take to prove this result is novel, associating the delay differential equation with a sequence of finite-dimensional matrices of increasing size and using the graph-theoretic technique of isospectral …

Math 112 At Byu: Student Averages On Various Exam Questions, Makayla Mcleod

Theses and Dissertations

In Math 112 at BYU, exams play a crucial role in evaluating students' understanding of the course content. Traditionally, these exams are a combination of multiple-choice and free-response questions, with the latter serving as a means to assess a student's thought process while solving problems. Will students perform as well on a multiple-choice exam? Or will students' averages be higher on free-response exams? In this thesis, we test 7 hypotheses related to these questions to provide more insight into the answer. We examine other factors that may affect students' averages, including various Calculus 1 topics, modes of questioning, and difficulty …

Examining Enrollment Populations At A Predominantly White Research Institution In The Northeast United States, Terrence Calvin Harris

Theses and Dissertations

This qualitative critical race case study investigates the underrepresentation of Black and Latinx students at Heister University, a predominantly White public research institution in the Northeastern United States. Despite its location near two diverse cities and its reputation as an affordable, high-quality university, its student body remains disproportionately White. This study explores whether admissions and recruitment policies, either overtly or covertly, contribute to systemic barriers limiting access for students from minoritized groups. Using Critical Race Theory and Colorblindness Ideology, the research examines the intersection of race, policy, and institutional practice through interviews policy reviews, demographic data. Findings reveal that “inclusive” …

The Construction Of Ph- And Temperature-Responsive Drug Delivery Systems Based On Metal Organic Frameworks And Phase Change Materials, Wanying Wei

Theses and Dissertations

In this study, core-shell microparticles were synthesized using coaxial electrospray techniques, with Zeolitic Imidazolate Framework-8 encapsulating either Rhodamine B or Doxorubicin in the core. ZIF-8 is a material well regarded for its effectiveness in drug delivery systems. Phase change materials are composed of a 4:1 mixture of lauric acid and stearic acid in the shell. The PCM chosen has a melting point close to physiological body temperature. The structural morphology and thermal stability of the microparticles were confirmed using Scanning Electron Microscopy, X-ray Diffraction, Differential Scanning Calorimetry, Thermogravimetric Analysis, and Infrared Spectroscopy. The release of the drug was influenced by …

Enhancing Employment Readiness Of Information Technology (It) Professionals Of India - A Talent Refactoring Approach, Lakshminarayanan K.V

Theses and Dissertations

The Indian Information Technology (IT) sector is undergoing significant transformation due to the adoption of Industry 4.0 technologies such as Artificial Intelligence, Internet of Things, cloud computing, and cyber-physical systems. These changes have redefined workforce expectations, shifting employment readiness from mere technical competence to a holistic combination of adaptability, behavioral attributes, and continuous learning capabilities. In this context, the study proposes a Talent Refactoring Framework to address employability in a rapidly evolving VUCA–BANI environment by integrating organizational, career-oriented, and individual dimensions.

A review of existing literature reveals notable gaps in understanding employment readiness as an ecosystemic and psycho-social construct, particularly …

Non-Invasive Near-Field Microwave Sensors For Industrial Internet Of Things Applications, Abirami K

Theses and Dissertations

The industrial sector has been revolutionized by Industrial Revolution 4.0 with the advent of the Internet of Things (IoT) which integrates the physical environment using smart sensors and Artificial Intelligence (AI) mechanisms. This demands the design of smart sensors and actuators to improve the quality of services in Industrial IoT (IIoT). The sensor design using the microwave resonating principle has attracted the research and industrial community for portable, non-invasive, non-destructive and hygienic means to evaluate the quality of substances in the food and farming industry. The microwave planar sensor has advantages in terms of low footprint, low cost, and ease …

Synthesis And Evaluation Of Novobiocin Analogues As Potential Inhibitors Of Polymerase Theta Polθ In Dna Damage And Repair, Mohammed Essam Albuhluli

Theses and Dissertations

Killing tumors while leaving normal cells unharmed is the goal of precision cancer therapy, a challenging feat that is enabled by targeting tumor-specific vulnerabilities [1]. Targeting Polθ potentiates PARP inhibitors (PARPi) in specifically killing homology-directed repair (HDR)-deficient tumor cells and re-sensitize PARPi resistant tumor cells [1]. The induced essentiality between Polθ and HDR-deficiency underscores the value of Polθ as a therapeutic target in the context of tumors with HDR genetic mutations [1]. The helicase-like domain (HLD) is a super family 2 (SF2)-type domain with DNA-dependent ATPase activity [1]. We previously discovered that the antibiotic NVB acts as an inhibitor of …

Seeding Science: Exploring Impacts From Interdisciplinary Project-Based Learning Experiences On Preservice Teachers Science Teaching Self-Efficacy, Kathryn Ruth Madden

Theses and Dissertations

Early childhood and elementary education preservice teachers often report having limited firsthand experiences in constructivist, inquiry-based science instruction. This can be a factor in contributing to nervous or anxious feelings about teaching science to young learners. To address this critical problem, this study explored the impact of interdisciplinary project-based learning (PBL) experiences on preservice teachers' selfefficacy. The study extended over six weeks of the preservice teachers' science methods courses. The early childhood participants engaged in interdisciplinary PBL by designing and exploring schoolyard gardens. The elementary participants investigated the local saltmarsh ecosystem focusing on the plants and animals. The PBL experiences …

Autism Care Continuum: Exploring Specialty Services Across The Lifespan Within U.S. Academic Medical Centers, Alexis Khuu

Theses and Dissertations

Autistic people—particularly adults—experience high rates of co-occurring mental health problems and often report unmet service needs. Although several barriers to accessing quality care are well-documented, the broader landscape of autism-specific services across the lifespan remains under-researched. This two-part thesis aimed to address this gap by examining the availability of autism-specific services, as well as patterns in service utilization and associated costs, among autistic children and adults. The first study employed a systematic web-scraping protocol and data extraction procedure to identify and characterize autism specialty services offered by U.S. academic medical centers. This work revealed a general lack of autism specialty …

The Digital Forum: A Pedagogical Approach To Teaching College English Composition, Thomas Edward Plichta

Theses and Dissertations

This action research study focused on the identification of ways to improve the curriculum of freshman Writing Intensive Seminars using an innovative multimodal pedagogical methodology, the Digital Forum, in addition to formal papers and in-class writing. The research examined a Writing Intensive Seminar with approximately 20 students; There were two Research Questions for the present study. RQ1: How does the incorporation of the Digital Forum as a pedagogical approach in college freshman writing classes influence students' levels of behavioral, cognitive, and emotional engagement? RQ2: How does the incorporation of Digital Forums in freshman English Composition courses affect the quality of …