Digital Commons Network^™

Hegemonic Microtonality: Decolonizing The Soundscape Of Music Theory Pedagogy, Ash K. Wetty

Honors Theses

This thesis examines how Western music theory pedagogy—long organized around tonal and twelve-tone equal-temperament frameworks—structures both what is taught and how students are trained to listen. Through a literature review tracing the historical construction of tonal universality in undergraduate curricula, the project argues that dominant models of music theory reproduce broader epistemic hierarchies inherited from Western conservatory traditions. Situating these histories within my own experience as a student navigating institutional listening norms, the thesis combines critical self-reflection with ethnographic research conducted across five liberal arts institutions, including the CBB consortium and JanPlan research at Wesleyan University and Amherst College. Rather …

Near And Dear: How Proximity To Amenities Shapes Land Value In Maine, William Kopans

Honors Theses

Residential land values reflect the benefits of accessibility to amenities as well as the costs associated with commercial activity. This trade-off is particularly important in Maine, a predominantly rural state where most households rely on automobiles to access employment, retail, and civic amenities. Drawing on hedonic theory, I analyze how households value proximity to public and private amenities located within downtowns and shopping centers. Using parcel-level transaction data from ATTOM combined with amenity data from OpenStreetMap, I construct a novel approach that differentiates downtown and shopping center clusters across the state. The findings demonstrate that properties located immediately adjacent to …

Metamorphosed Components In Cv Chondrites Camel Donga 003 And Camel Donga 040 As Evidence For Varying Degrees Of Metamorphism Within The Parent Body, Kathryn E. Stone

Honors Theses

The CV carbonaceous chondrites are a group of primitive stony meteorites that record early solar-system evolution processes. They are typically of low metamorphic grade, though some metamorphosed CVs have recently been found. Two CV chondrite breccias, Camel Donga 003 (CD 003) and Camel Donga 040 (CD 040) consist of multiple lithologies. CD 003 consists of three lithologies, one of which – Lithology C – has been metamorphosed to petrologic type ~3.7 (Alevy et al. 2025). CD 040 consists of two lithologies, one of which is metamorphosed to petrologic type 3.7 (Dunn and Alevy, 2024; Dunn et al. unpublished). Both samples …

Three-Photon Rydberg Eit Lineshape Analysis In Rubidium, Jackson Lake

Honors Theses

Electromagnetically Induced Transparency detection of high-lying Rydberg states in room-temperature rubidium vapor was investigated using a four state ladder-type excitation scheme with light provided by three External Cavity Diode Lasers (ECDLs) at 780 nm, 776 nm, and 1266 nm. This detection technique was studied by characterizing the lineshape parameters of the EIT transmission peak, specifically the height, width and area of the transparency window as functions of the dressing and coupling laser powers. With the goal of characterizing the linewidth of the transmission signal, a confocal etalon was built and implemented in the optical setup to perform frequency calibration of …

Enumerating Matrices Of A Given Order Over Finite Fields, Thor Richard Gabrielsen

Honors Theses

This thesis derives a generating function that describes the matrices of a given multiplicative order over finite fields of a given order assuming that the order of a field is not a divisor of the desired order of the matrix. This is done by using the power series known as the cycle index derived from the rational canonical form. This index can be factored, and using the fact that the minimal polynomial divides some polynomial of the form x^k − 1 we can show that the minimal polynomial is squarefree. This sufficiently restricts the form of the rational canonical form …

Analyzing Rydberg Atoms Of Rubidium At Room Temperature: Applying Electromagnetically Induced Transparency, Bridger Stiles

Honors Theses

This thesis describes an experimental exploration of electromagnetically induced transparency (EIT) in atoms of 85Rb using a new MOGLabs external cavity diode laser. A two-step ladder technique of EIT was applied using a 5S_1/2→5P_3/2 probe transition and 5P_3/2→nD_5/2 coupling transitions. Significant apparatus tuning was done, including developing a reliable procedure of regulating frequency and scanning the coupling laser over a sufficient mode-hop free range. A Doppler-reduced technique was applied by counter-propagating the probe and coupling beams through the Rb vapor cell. EIT signals were collected at various probe and coupling laser powers to analyze changes in signal size and linewidth. …

Optimizing Marketing Campaigns To Maximize The Response Rate For A Supermarket Using Machine Learning Techniques, Alia Almansoori

Theses

Supermarkets must improve their marketing tactics at a time of changing consumer behavior and increasing competition in the retail industry. Engaging the wide and sophisticated consumer base of today's supermarkets is difficult using traditional methods. This proposal presents a data-driven approach using cutting-edge machine learning methods to enhance supermarket marketing strategies. The main goal is to increase the response rate of marketing initiatives, which will improve consumer engagement and ultimately increase revenue. Additional primary objectives are customer segmentation and targeting, predictive modeling, personalization, ongoing performance monitoring, and ROI evaluation. The current problem centers around personalization and accuracy. Due to the …

Literacy Intervention At The Middle Level: A Mixed-Methods Examination Of The Implementation Of Thinking Maps, Ashley Chantal Choice

Theses and Dissertations

This study examined the implementation of Thinking Maps® as a literacy instructional intervention for students in grades four and five. Using an explanatory sequential mixed-methods design, the study investigated the effect of Thinking Maps® on student achievement, changes in students’ literacy-related work products, and teachers’ perceptions of the strategy. The study was conducted at a rural Title I elementary school in the southeastern United States and included nine teachers and 150 students across English language arts, mathematics, science, and social studies during an eight-week intervention period. Quantitative data included unit pretest and posttest scores from standards-aligned assessments and teacher perception …

Mastering Enterprise Networks (3rd Ed), Mathew J. Heath Van Horn

OER Main

Mastering Enterprise Networks, is a comprehensive guide to building, defending, and attacking enterprise networks. It covers a wide range of topics, from network fundamentals to advanced security concepts. The book is well-organized and easy to follow, making it a valuable resource for both beginners and experienced network professionals.

One of the strengths of this book is its focus on hands-on learning. The book includes 50 chapters of labs that allow readers to practice the concepts they have learned. These labs are a great way to reinforce your understanding of enterprise networks while developing practical skills.

This book covers security from …

Gradient-Based, Post-Optimality Sensitivity Analysis With Respect To Parameters Of State Equations, Gene Hou, Jonathan Degroff

Mechanical & Aerospace Engineering Faculty Publications

Design optimization is a computational tool that can enable a designer to investigate the effectiveness of a design concept in an organized format. However, this design process requires the design variables, constraints, and objective function to be properly defined and expressed in mathematical forms. Post-optimality analysis thus becomes a necessary step to investigate different variations in the problem formulation and parameters to ensure that optimization produces a stable and trustworthy outcome. One efficient way to achieve this aim is to compute the local derivative of the optimized objective function with respect to the optimization problem parameters, such as bounds on …

Uncertainty-Aware Estimation, Planning, And Control For Tracking Multiple Drifting Patches In Flow Fields, Daniel O. Akanji, Krishnanand N. Kaipa, Cong Wei

Mechanical & Aerospace Engineering Faculty Publications

In this study, we present a replay-based framework for uncertainty-aware persistent tracking of multiple advected surface patches using an autonomous marine vehicle operating in spatiotemporal-varying currents. The method combines three components: local flow estimation, covariance-aware patch-boundary propagation with intermittent boundary fusion, and mission-level scheduling over multiple patches. Each patch is represented by a polygonal boundary, whose vertices are propagated through the estimated flow field while carrying per-vertex covariance, thereby quantifying uncertainty growth during advection. A flow-aware gain-scheduled linear quadratic regulator (LQR) was designed to shape the desired surge speed to take advantage of favorable currents. When the vehicle services a …

Influence Of Motion Artifacts On Instantaneous Frequency Based Heart Rate Variability Of Arterial Pulse Signals Measured By A Tactile Sensor: An Analytical Study, Mamun Hasan, Zhili Hao

Mechanical & Aerospace Engineering Faculty Publications

Objective: Heart rate variability (HRV), quantified via the instantaneous frequency (IF) of arterial pulse signals, is a key indicator of cardiovascular (CV) regulation. This study presents a theoretical and experimental investigation of how motion artifacts (MA) influence IF-and thus HRVmeasured with a tactile sensor, emphasizing underlying mechanisms rather than population-level validation. Approach: Building on a previously developed single-degree-of-freedom (SDOF) model of the tissue-contact-sensor (TCS) stack between the sensor and the artery, MA is represented as low-frequency baseline drift and time-varying system parameters (TVSP) of the TCS stack. Analytical expressions quantify the effect of MA on the IF of each harmonic …

Mechanical-Medical Convergence In Heart Failure: Artificial Intelligence, Finite-Element Modeling, And 3d Printing For Diagnosis And Prognosis, Quazi Noor E. Sabrina, Quazi Md Zobaer Shah, Quazi Noor E. Sohela, Md Mahabub Hasan Mousum, Md. Moyeen Uddin Chisty, Quazi Md. Akbar Shah

Mechanical & Aerospace Engineering Faculty Publications

Heart failure remains a leading cause of global morbidity and mortality, yet routine clinical indices often miss the regional biomechanical disturbances that drive progression and shape treatment response. This State-of-the-Art review examines how finite-element (FE) modeling, additive manufacturing, and artificial intelligence (AI) are converging to improve the diagnosis, phenotyping, procedural planning, and prognostic assessment of heart failure (HF). Although these technologies have matured in structural heart disease and transcatheter intervention research, their greatest translational potential may lie in HF, where patient-specific ventricular remodeling, myocardial stress–strain heterogeneity, valve-ventricular coupling, and device-tissue interaction are incompletely captured by conventional clinical indices. We synthesize …

Code-Net++: An Attention-Guided Deep Learning Framework With Grad-Cam-Based Explainability For Covid-19 Detection Using Chest X-Ray Images, Fareesa Amina, Dr Krishnanaik Vankdoth

Mansoura Engineering Journal

Chest radiograph imaging has emerged as a practical and scalable diagnostic modality for respiratory diseases, including COVID-19. However, accurate discrimination of COVID-19 manifestations from other pulmonary abnormalities remains challenging because of low contrast, imaging noise, and overlapping radiographic patterns. This work presents CODE-NET++, an enhanced attention-guided deep learning framework with Grad-CAM-based explainability for reliable COVID-19 detection using chest X-ray images. The proposed framework integrates adaptive trilateral filtering for image enhancement, Reverse Edge Attention Network (RE-Net) for lesion-aware segmentation, and an Enhanced LinkNet architecture with dilated convolutions for multiscale feature extraction and classification. Grad-CAM-based explainable artificial intelligence visualization is incorporated to …

The Effect Of Second-Order Slip In Hydromagnetic Eyring-Powell Flow: A Bvp4c Study, Ch. Maheswari, B. Naga Lakshmi, G. Dharmaiah, R. Mohana Ramana, B. Reddappa

Mansoura Engineering Journal

The steady-state Eyring–Powell boundary layer fluid flow past a moving surface is examined, considering various parameter implications. These include the wall mass transfer parameter (0.5  C   2.0), the magnetic field parameter (5  Mn 20), the velocity ratio parameter (0.1  λ1  0.7), Eyring-Powell fluid parameters (0.5 K 2 & 0.1 E 0.4), as well as the first-order velocity slip (0.1 γ 1.1) and second-order velocity slip (0.1 δ  0.4). By employing appropriate similarity transformations, the PDEs are reduced to a set of non-linear ODEs, which are subsequently solved using the bvp4c numerical technique and, an implication of key factors on shear …

A Hybrid Object Detection And Temporal Attention Framework For Intelligent Video Surveillance, Sudheer Reddy Bandi, Eswari Vanaparthi, Yakshini Edapalli, Roshan Kavuri

Mansoura Engineering Journal

The rapid growth of urban areas has greatly heightened the need for smart video surveillance systems that can automatically process extensive amounts of CCTV footage. Traditional surveillance methods largely depend on human monitoring, which is not only inefficient but also susceptible to human mistakes, especially in intricate and crowded environments. To tackle these issues, this paper introduces a combined object detection and temporal attention for intelligent video surveillance that concurrently analyzes spatial and temporal data from video streams. The proposed system analyzes real-time CCTV footage utilising a multi-pathway frame extraction technique that includes slow, fast, and full-frame sampling to capture …

University Of Central Florida Graduate Catalog, 2025-2026, University Of Central Florida

UCF Catalogs

No abstract provided.

Objective Assessment In Experiential Learning Contexts, Lily M. Brutger

All Electronic Theses and Dissertations

Experiential learning is widely recognized as a powerful approach to education; however, empirical evidence demonstrating its effectiveness remains limited. This gap in the literature is due less to the value of experiential learning itself than to the challenges of assessing learning within experiential contexts. Drawing on the foundational experiential learning theories of Kolb (1984) and Joplin (1981), as well as contemporary research on assessment validity and practice, this paper examines the relationship between assessment and experiential learning. It argues that purposeful, objective assessment is essential for maximizing student learning and supporting the credibility of experiential education. The paper synthesizes current …

Ai-Supported Socratic Questioning And Instructional Scaffolding: Effects On Student Comprehension, Reshma John

All Electronic Theses and Dissertations

This literature review examines how the intentional use of artificial intelligence (AI) designed for Socratic questioning and instructional scaffolding affects students' comprehension of course content. The literature suggests that AI is most likely to support comprehension when it prompts students to explain their reasoning, respond to guided questions, reflect on their understanding, and receive support adapted to their needs. In contrast, systems that primarily provide direct answers may encourage overreliance and mask gaps in students' understanding. Overall, the educational value of AI depends less on its availability and more on how it is designed and implemented.

Radical-Based Oxidative Pretreatment Enhances Biofuel Production From Lignocellulosic Biomass Via Hydrothermal Liquefaction, João Vitor Dos Santos, Louis C. Bondurant, Patrick G. Hatcher

Chemistry & Biochemistry Faculty Publications

The sustainable production of biofuels from lignocellulosic biomass is a central goal in the transition to low-carbon energy systems. However, hydrothermal liquefaction (HTL), a promising thermochemical conversion pathway, is constrained by the high oxygen content and complex aromatic structure of lignin, which lowers bio-oil quality. Here, we used a model system of brown-rot-degraded white oak (Quercus alba) to test whether radical-based oxidative pretreatment could enhance HTL performance by converting lignin into more aliphatic intermediates. Oxidation was performed under simulated Fenton conditions using fixed Fe(II) (60 ppm) and two hydrogen peroxide concentrations (3 and 8 M), resulting in extensive lignin depolymerization …

Twenty-One Years Of Global Atmospheric Chlorine Inventories From Atmospheric Chemistry Experiment Fourier Transform Spectrometer (Ace-Fts) Measurements, N. Raymond, P. Bernath, C. Boone, M. P. Chipperfield

Chemistry & Biochemistry Faculty Publications

We present atmospheric chlorine inventories over 21 years (2004-2024) and five latitude bands (82-60°N, 60-30°N, 30°N-30°S, 30-60°S, 60-82°S) across altitudes from the surface up to 61 km. These inventories were calculated using the Atmospheric Chemistry Experiment-Fourier Transform Spectrometer (ACE-FTS) version 5.3 retrievals of the volume mixing ratios (VMRs) of 13 chlorine-containing species. Of these, five are product gases: HCl, HOCl, ClONO₂, COClF, COCl₂, and eight are source gases: CCl₄, CH₃Cl, CFC-11 (CCl₃F), CFC-12 ( CCl₂F₂), CFC-113 (CClF₂CCl₂F}), HCFC-22 (CHF₂Cl), HCFC-141b ( C₂H₃Cl₂F), and HCFC-142b (C₂H₃}Cl₂F). Where necessary, ACE-FTS data were supplemented with data from the TOMCAT 3-D chemical transport model, …

Scanning Electron Microscopy As A Potential Tool For Distinguishing Charcoal From Dark, Oxidized, Biomass, João Vitor Dos Santos, Aleksandar I. Goranov, Lais Gomes Fregolente, Joao Marcos De Lima-Faria, Diego Stefani Teodoro Martinez, Patrick G. Hatcher

Chemistry & Biochemistry Faculty Publications

Condensed aromatic carbon (ConAC) is widely used as a proxy for organic materials derived from biomass burning. However, recent evidence shows that ConAC can be also formed through nonpyrogenic oxidative processes. This study presents a proof-of-concept investigation using scanning electron microscopy (SEM) to distinguish charcoal from dark, ConAC-rich materials produced by ambient oxidation of biomass. Pine wood exposed to long-term iron-mediated oxidation was compared with unaltered wood and a controlled laboratory-generated charcoal reference. Conventional geochemical analytical methods, including benzenepoly(carboxylic acid) (BPCA) analysis, Fourier transform–ion cyclotron resonance–mass spectrometry (FT-ICR-MS), solid-state 13C nuclear magnetic resonance (NMR) spectroscopy, and elemental analysis, confirmed substantial …

Teachers' Perceptions And Professional Uses Of Artificial Intelligence In Education, Lexie Coartney

Masters Theses

This study explores Illinois teachers’ perceptions and professional uses of artificial intelligence (AI) in education. A mixed methods approach was implemented, including a survey completed by 137 Illinois teachers and four interviews. The research questions examined teachers' perceptions of AI, their professional use of AI, and their approach to students’ use of AI. Findings concluded that participants generally hold positive perceptions of AI, especially its time-saving abilities and being supportive, while also holding concerns including reliability, accuracy, and ethical issues. Results showed that 77% (n = 106) of teachers use AI tools mostly for lesson planning, creating assessments, differentiation, …

Elementary General Education Teachers' (Tk–1) Experiences Implementing Inclusive Practices For Students With Disabilities, Emily Ruth Engelson

Dissertations

Purpose: The purpose of this qualitative multi-case study was to examine the challenges elementary general education teachers (TK–6) face, including confidence and skills, when working to successfully include students with disabilities in their classrooms. The study also sought to identify the most valuable professional development experiences, the role of grade-level collaboration in building teachers' capacity, and the administrative support and resources that contribute to teachers' success in including students with disabilities.

Methodology: This qualitative multi-case study employed semi-structured interviews with six TK–first grade general education teachers in Orange County, California, each with at least one year of experience including a …

Practices Alternative Education Principals Use To Create An Infinite Mindset In Their Schools To Inspire Extraordinary Results, Renee Gates

Dissertations

Purpose: The purpose of this phenomenological study was to explore and describe how exemplary alternative education principals perceive the practices of Simon Sinek’s Infinite Mindset Framework are embedded within their organizations to inspire the achievement of extraordinary results. A further purpose of this study was to understand the organizational supports and barriers these exemplary leaders perceive affect the development of an infinite mindset.

Methodology: Interviews were used to explore and describe how exemplary alternative high school principals perceive the five practices of Sinek’s Infinite Mindset are embedded within their organizations. The study is intended to contribute to and extend current …

The Role Of Academic Vocabulary Instruction In Supporting Secondary English Learners' Science Proficiency, Chue Seng Her

All Electronic Theses and Dissertations

This literature review examines the extent to which academic vocabulary instruction influences secondary English learners’ (ELs’) science proficiency. Science learning requires students to interpret complex texts, engage in academic discourse, and construct evidence-based explanations using discipline-specific language, which may present challenges for ELs. This review provides an overview of research on language demands in science and instructional approaches that support vocabulary development. Findings indicate that academic vocabulary plays a critical role in students’ ability to comprehend scientific content, participate in discourse, and communicate reasoning effectively. Instructional approaches such as explicit vocabulary instruction, scaffolding, discourse-based strategies, reciprocal teaching, cognitive strategy instruction, …

Mechanical Property Evaluation Of Paper Die Materials In Explosive Forming, Higa Yoshikazu, Kadena Hisashi, Shimojima Ken, Iyama Hirofumi

ASEAN Journal on Science and Technology for Development

This study investigates the feasibility of using paper materials as substitutes for molds in explosive forming by systematically evaluating their mechanical properties. Tensile tests were conducted on three paper types differing in thickness and internal fiber structure, using a custom-designed gripping tool. Specimens were prepared in multiple orientations to account for anisotropic behavior. Results indicate that coated paper, exhibiting the highest specific tensile strength and energy absorption per unit basis weight, is the most suitable for formability. In contrast, thick paper, characterized by the lowest specific tensile energy absorption, offers the best dimensional accuracy. Anisotropy was observed in matte and …

Systematic Approaches To Characterizing Vulnerabilities And Enhancing Robustness Of Text And Vision-Language Models, Poojitha Thota

Computer Science and Engineering Dissertations

The proliferation of artificial intelligence (AI) across critical domains, including news summarization, privacy-policy analysis, and medical decision support, has raised growing concerns about the security and robustness of these systems against adversarial manipulation. This dissertation investigates adversarial robustness in generative AI by addressing three key research goals: (1) characterizing adversarial vulnerabilities across generative models, (2) developing systematic defenses to improve the robustness of generative models, and (3) designing deployment-time safeguards for securing LLM interactions.

Towards the first goal, we characterize adversarial vulnerabilities across text-based and multimodal systems. In abstractive text summarization, we show that inference-time perturbations can exploit lead bias …

Soil Respiration Drivers And Challenges In A Changing Environment, Olivia Rae Haas

Theses, Dissertations and Culminating Projects

This study aims to understand post agricultural forested soils (sandy loam, silt loam, and loam) and the influences that drive carbon sequestration and soil respiration flux. Duke Farms in Hillsborough NJ, has historically been utilized as an agricultural zone for farming a variety of crops. Currently the area is protected with a focus on environmental conservation and restoration of the land. This includes getting a better understanding of the forested portions of the property. Understanding the quality of forested areas is vital as they have the potential to act as a carbon sink which can mitigate the effects of climate …

Designing An Approach To Developing Students' Symbol Sense For The Derivative In Calculus, Laura E. Weinstein

Theses, Dissertations and Culminating Projects

Students often struggle to connect the conceptual meaning of the derivative with the symbolic structures of Leibniz (dy/dx) notation. Although symbol sense has been described as the coordination of mathematical concepts, signs, and objects, little is known about how instruction can purposefully support students in developing symbol sense for the derivative. This study addresses this gap by designing and examining a learning approach aimed at helping students construct the relational structures underlying derivative notation. Using design research methodology, the study engaged intact algebra, precalculus and calculus classes in a suburban New Jersey high school across iterative cycles of design, implementation, …