Digital Commons Network^™

Experimental Material Analysis And Load Monitoring Of Polyurethane–Steel Belts Subjected To Static And Cyclic Dynamic Loading: Implications For Continuous Mooring Line Systems In Wave Energy Converters, Youssef Mohamed

Electronic Theses and Dissertations 2020 - Present

This study experimentally investigates the mechanical and viscoelastic behavior of a steel-cord-reinforced polyurethane synchronous belt capable of withstanding continuous cyclic loading as a potential compliant mooring element for WEC applications. Quasi-static and cyclic tensile tests were conducted to characterize the belt's mechanical response. The quasi-static determined that the belt behaved as a stiff, low-strain tensile member. Under approximately 100 kgf, the belt extended by about 0.107mm over a 250mm gauge length, apparent tensile modulus of 5.41GPa, an axial rigidity of 2.44MN, and an equivalent line stiffness of 9.75MN/m. Cyclic tensile testing showed high dynamic stiffness with stiffness-transfer ratio of 0.924. …

Butte Priority Soils Operable Unit Final 2024 Unreclaimed Sites Sampling: Ur-46 Site Evaluation Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Supporting Students’ Self-Efficacy And Motivation In The Mathematics Classroom, Audrie H. Cox

Masters Projects

This project examines the role of mathematics self-efficacy in supporting student motivation, engagement, and achievement in secondary mathematics classrooms. Through a review of current research, the project identifies instructional practices that strengthen students' confidence in their mathematical abilities, including formative assessments, meaningful feedback, supportive teacher-student relationships, and opportunities for productive struggle. Drawing on these findings, a professional development workshop session was developed to equip secondary mathematics teachers with practical, research-based strategies that promote positive mathematics self-efficacy and improve overall classroom instruction. By translating research into actionable teaching practices, this project aims to support more confident, motivated, and successful mathematics learners.

An Interpretable Remote Sensing–Machine Learning Framework For Wildfire Soil Burn Severity Prediction In The Northwestern United States, Subhankar Das, Mariana Dobre, Roger Lew, Sarah A. Lewis, Erin S. Brooks, Peter R. Robichaud, Anurag Srivastava, Mary E. Miller, Alex M. Watanabe, Marta Basso

Michigan Tech Publications

Background: Although soil burn severity (SBS) is traditionally mapped post-fire, pre-fire predictive approaches remain limited despite their potential to identify areas at risk of soil degradation, runoff and erosion. Aim: To develop a large-scale model for predicting post-fire SBS from pre-fire conditions at ~30 m spatial resolution. Methods: A harmonized dataset of 62 wildfires (2018–2024) was used to build machine learning (ML) frameworks based on Random Forest, eXtreme Gradient Boosting (XGBoost), and Light Gradient Boosting Machine (LightGBM), using pre-fire vegetation, climate, soil–terrain and anthropogenic predictors. Performance was evaluated using five-fold cross-validation (CV), leave-one-fire-out (LOFO) validation and independent testing on 2025 …

Ucf Libraries 2026 Faculty Research Showcase, Thomas R. Caswell, Patrick D. Green, Rae Mair, Yuqing Li, Athena Hoeppner, Sai Deng, Jeanne Piascik, Nokimul Hasan Arif, Peter Spyers-Duran, Tina Buck

Faculty Scholarship and Creative Works

The University of Central Florida (UCF) Libraries’ Faculty Research Showcase is an annual tradition that celebrates the scholarly achievements, research, and creative work of library faculty.

The 2026 Showcase took place on August 4, 2026, and features six engaging presentations covering a diverse range of topics:

• Thomas Caswell – UCF Libraries Faculty Scholarship: Growth & Impact

• Patrick Green – Making Moves: A Cross-Institutional Presentation on Library Skill Transference

• Rae Mair & Yuqing Li – Generative AI as Peer Tutor: Designing & Evaluating a Prompt to Support Source Identification & Evaluation

• Athena Hoeppner – Have you ever …

Collective Trauma And Systemic Negligence: Exploring South Korean Disasters Through Media And Cultural Narratives, Jung H. Hyun, Eunae Han

Trauma Counseling and Resilience

Disaster trauma often occurs at multiple levels, with the systemic level highlighting its collective impact on survivors. Betrayal trauma, inflicted by trusted individuals or institutions including the government, further compounds this experience. Drawing on historical and contemporary challenges in modern Korean history and recognizing their collective impact on the Korean population, this paper examines Korean betrayal trauma stemming from disasters, introduces a new concept of political betrayal trauma, and explores how media can serve as a tool for healing. Through a fictional case study, this paper illustrates how collective cultural narratives support both survivors and the broader society in validating …

System And Method For Green Energy-Aware Traffic Engineering Path Computation, Rajeev Anand, Abhishek Garg, Jaiesh Thapar

Defensive Publications Series

This disclosure presents a distributed control-plane mechanism that enables green energy-aware Traffic Engineering (TE) path computation in IS-IS and OSPF-TE networks. A router configured as renewable-energy-powered advertises a new Green Energy Capability sub-TLV in its TE advertisements. Routers in the same IGP domain learn this attribute and build a green-aware topology map. A tunnel-level policy can then constrain TE path computation to green-enabled nodes only. The mechanism is backward compatible and does not require an external controller.

Budol-Budol Time: A Perspective From The Global South On Generation Z’S Digital Status Consumption Through An Interactive Video, Luis Angelo Francisco Lopa, Kateleen Claire Malabag Gonzales, Jaedon Tongol Santos Jats

DLSU Arts Congress Conference Proceedings

This research critiques the contemporary digital landscape, as social media influencers shape Gen Z's consumer behavior, often driving "status overconsumption," the repetitive purchase of trending goods to enhance social standing. The study investigates the complex relationship between social media exposure and consumption patterns among affluent Gen Z (ages 13 to 28) in Laguna, Makati, Taguig, and Quezon City, Philippines. Its objective is to address the environmental consequences of these behaviors, including excess waste and carbon emissions from production and related industries, which consumers often overlook. Grounded in social comparison and status consumption theories, the research utilizes a sequential mixed-methods triangulation …

Atomos Komiks - Making Learning Fun With Science Entertainment, Jerome Aizpuro Suplemento Ii, Julius Noah Hernandez Sempio

DLSU Arts Congress Conference Proceedings

With portable digital devices imposing themselves on the already precarious attention span of the Filipino youth, and with raising concerns about degrading literacy of schoolchildren, it is imperative to find creative and entertaining means to inspire the young studentry to engage in dedicated educational materials. This paper explains the methods being used by a small group of artists, scientists and writers to create content for “science entertainment” in comics format. By combining principles of conceptual compression, knowledge indexing and low-elaboration persuasion techniques to develop knowledge “anchors”, the team aims to generate participatory engagement among readers and stimulate their cognitive innovation. …

Vetiver Phytoremediation Of Nitrate-Rich Munition Wastewater: Biomass Valorization Within A Circular Economy Framework, Arash Aliasghar, Rupali Datta, Zhiming Zhang, Christos Christodoulatos, Dibyendu Sarkar

Michigan Tech Publications

Industrial munition facilities generate nitrate-rich wastewater that requires effective and sustainable treatment before discharge. While vetiver grass (Chrysopogon zizanioides)-based phytoremediation has shown promise in nitrogen removal, most studies have been limited to small-scale experiments under low nitrogen concentrations, providing limited guidance for system-level design under elevated loading. This study evaluates a greenhouse-scale phytoremediation system using vetiver grass to treat wastewater containing 1000 mg N/L nitrate and 50 mg/L COD. Plant coverage densities of 2%, 4%, and 6% (w/v) were assessed to quantify optimum density as a design parameter for optimizing nitrate removal. A 6% coverage achieved the highest efficiency, reducing …

Comparing Principal Component Analysis And Sequential Fusion Deeponet With Varying Dataset Size For Design Space Exploration Of Hypersonic Flow, J. Dallan Trentman

Theses and Dissertations

Design space exploration and optimization of hypersonic vehicles is costly due to the difficulty of producing high fidelity CFD simulations in the hypersonic domain. Reduced order modeling can allow for design optimization at a fraction of the computational cost. This paper investigates the amount of training data required to produce an accurate Reduced Order Model. A PCA based ROM is developed and compared to a Sequential Fusion DeepONet by comparing model prediction accuracy, training time, and prediction time, across dataset sizes from 25 samples to 1024 samples. These models are applied to 2D hypersonic CFD simulations of the Orion reentry …

Resonant Shock Plate Simulation And Prediction Using Modal Substructuring, Harrison C. Denning

Theses and Dissertations

Aerospace structures such as rockets can experience various shock events during flight, such as stage separation or impacts. These shock events can expose components inside the rocket to large accelerations and stresses which in turn can damage the parts. Shocks are often simulated in the lab using a resonant shock plate test. Resonant shock plate testing is often used to qualify aerospace parts, as it can mimic the shocks experienced during launch and stage separations. However, during the course of development, both the definition of the shock environment and the design of the subcomponent tend to change, so that multiple …

Rfsoc Based Ground Penetrating Radar For Detection And Avoidance Of Underground Utilities, Brady Bowerbank

Theses and Dissertations

Preexisting underground utilities present a considerable danger to underground boring projects. Gas and electrical lines can be damaged, leading to major economic impact and even loss of life. While maps of underground utilities exist, they are not always accurate and gas and electrical lines can shift over time, necessitating tools to accurately detect utilities so that crews can steer the machines away from any possible danger. In this thesis, the design of a new frequency-modulated continuous-wave (FMCW) ground penetrating radar (GPR) is outlined. The design of a lightweight, flexible radar is demonstrated using the CASPER FPGA framework with an operating …

Isoperimetric Soft Robots, Mihai Stanciu

Theses and Dissertations

This thesis presents two advances in isoperimetric soft robotic trusses that improve their performance, modularity, and configurability. The first contribution introduces a large-scale modular robotic truss designed as a lightweight, reconfigurable structure for lunar applications. The system consists of inflatable fabric tubes routed through motorized roller units and interconnected by a newly developed spherical joint that enables multiple robotic triangles to connect at a common vertex. The resulting truss can be assembled into structures beyond a single octahedron while retaining compact stowage when deflated and untethered operation after initial inflation. Experimental validation demonstrates modular assembly, long-term pressure retention, load-bearing capabilities …

Contributions Of Arginine And Nitrosative Stress To Huntington’S Disease Progression, Ian D. Gaudet

Electronic Theses and Dissertations 2020 - Present

Neuroinflammation is a well-established component of Huntington's disease (HD) pathogenesis, yet the intricate molecular mechanisms that govern this process remain a topic of ongoing research and debate. This dissertation elucidates a novel pathway linking arginine metabolism and nitrosative stress to core HD pathology. We found that the arginine transporter SLC7A2 is selectively upregulated in various HD cellular models and patient samples. Our findings reveal that this upregulation drives an overactive inflammatory response, leading to abnormally high inducible nitric oxide synthase (iNOS) induction and subsequent nitric oxide (NO) production, which causes excessive protein nitrosylation and an increase in mitochondrial fragmentation.

To …

Evaluation Of Mechanical Properties And Seal Strength Of Medical Packaging Materials Before And After Supercritical Co₂ Sterilization, Camila Madriz Pizarro

Theses

The sterilization of medical devices is critical in the prevention of infections in healthcare settings. Ethylene oxide (EtO), gamma irradiation, and steam sterilization have been the standard sterilization processes in healthcare settings, where the packaging system remains the most important barrier between the sterilized instrument/device. Safety concerns and regulatory pushback on conventional sterilization methods have pushed for further research on new sterilization techniques. Among the emerging sterilization technologies, one candidate that has garnered considerable attention is Supercritical CO2 sterilization. However, there is a lack of literature to support the compatibility between scCO2 and common medical packaging materials. The present study …

Thermophysical Property Studies: 1. Thermodynamic Consistency For Associating Compounds 2. Autoignition Temperature, Cassandra Jane Guffey

Theses and Dissertations

Accurate thermophysical property data are essential for the design, optimization, and safe operation of chemical processes. Properties such as vapor pressure, enthalpy of vaporization, heat capacity, density, and autoignition temperature--which are among the properties studied in this work--are required for equipment sizing, process simulation, hazard assessment, and economic evaluation. A major focus of this dissertation is the application of multi-property thermodynamic consistency techniques to compounds that exhibit strong vapor-phase association. These methods improve confidence in recommended property values by enforcing rigorous thermodynamic relationships among ideal-gas heat capacity, liquid heat capacity, vapor and liquid densities, vapor pressure, and enthalpy of vaporization. …

Multi-Omic Analysis Of Molecular Changes In Haloferax Volcanii Biofilm Development, Joshua Koller

Theses

Biofilms are the predominant lifestyle of microorganisms and offer protection against environmental stress. Archaeal biofilm development remains poorly understood relative to its bacterial counterpart, and the fundamental differences between these two domains prevent direct extrapolation from bacterial models. To address this gap, we used quantitative proteomics and transcriptomics to characterize the molecular changes accompanying biofilm formation and maturation in the model archaeon Haloferax volcanii. Protein and transcript abundance were measured across seven conditions spanning both lifestyles and multiple timepoints, with glycosylated proteoforms quantified as entities distinct from their unmodified counterparts, covering both established biofilm-associated structures and newly identified candidates. Known …

Assessing The Impact Of Knowledge-Based Planning On Dosimetric Performance In Adaptive Prostate Sbrt Planning, Kayla Kenny

Masters Projects

Daily adaptive prostate stereotactic body radiation therapy (SBRT) is now feasible with advances in adaptive radiotherapy and automated optimization. However, the dosimetric quality of Ethos Intelligent Optimization Engine version 2 (IOE v2) automated plans may vary because optimization is based on user-defined templates rather than patient-specific dose guidance. This retrospective study evaluated whether integrating RapidPlan knowledge-based planning (KBP)–derived optimization objectives into the Ethos IOE v2 adaptive planning workflow improved dosimetric quality for prostate SBRT. Fifteen intact prostate SBRT patient datasets were evaluated. For each patient, three plans were generated: a baseline Ethos IOE v2 reference plan (Ref), a plan incorporating …

Toroidal Plasmonic Nanodimers For Enhanced Near-Infrared Emission In Heterostructured Inp Quantum Dots, Arda Gülücü, Emre Ozan Polat

Turkish Journal of Physics

Near-infrared (NIR) emitters operating in the 650--900 nm spectral range are highly attractive for imaging and sensing in turbid media. However, cadmium-free InP-based quantum dots (QDs) often exhibit limited brightness owing to nonradiative recombination pathways and inefficient photon outcoupling. In particular, heterostructured InP QDs may possess band alignments that induce partial spatial separation of charge carriers, thereby reducing the electron-hole wavefunction overlap. This characteristic modifies the intrinsic recombination dynamics and increases the sensitivity of their emission to the surrounding photonic environment. Here, we investigate silver toroidal plasmonic nanoantenna dimers (Ag TPNDs) using finite-difference time-domain (FDTD) simulations as a geometry-tunable platform …

Mathematics Anxiety And Academic Performance In Mathematics, Bradley Vandermissen

Masters Projects

Mathematics anxiety represents a psychological barrier that negatively impacts student academic performance and self-efficacy across all educational levels. Many secondary mathematics students experience physiological stress, self-doubt, and reduced working memory efficiency when encountering mathematical tasks, often leading to disengagement or an over-reliance on artificial intelligence (AI as a learning shortcut rather than an educational tool. Despite the widespread nature of this issue, educators frequently lack the formal training and practical pedagogical strategies necessary to identify, manage, and alleviate mathematics anxiety within their classrooms. Rooted in Bandura’s Social Cognitive Theory, this project addresses the underlying cognitive and biological components of mathematics …

Bdelloid Rotifers Harbor A Voltage-Gated Proton Channel With Distinct Mechanistic Features, Liang Yan, Chiara Boschetti, Liang Hong

School of Biological and Marine Sciences

Bdelloid rotifers are renowned for their extraordinary resilience. They can survive desiccation and long-term freezing and revive once favorable conditions return. Such remarkable survival abilities suggest that the evolution of specialized molecular adaptations sustain pH homeostasis under extreme environmental stress. In the present study, we identify and functionally characterize an isoform of the voltage-gated proton channel (Hv) from the bdelloid rotifer Adineta ricciae, which we name ArHv2. Unlike its paralog ArHv1 and human Hv1 that activate only at positive membrane potentials and contribute modestly to proton extrusion under normal conditions, the ArHv2 activates even at negative potentials, enabling rapid and …

Ensemble Learning Framework For Predicting Close Proximity Tire–Pavement Noise On Expressways, Woo Young Cho, Jin Hwan Kim, Guk Gon Song, Kyungnam Kim, Youngguk Seo

Faculty Articles

Traffic noise is a critical public health concern affecting millions of highway users and adjacent residents worldwide. In response, many transportation agencies have adopted functional surface materials to reduce noise at the source on pavement, but assessing their effectiveness remains expensive and logistically challenging. Close Proximity (CPX) testing quantifies tire-pavement noise but requires specialized equipment costing $50,000-$126,000 and is limited to existing pavement, preventing proactive noise assessment during pavement design. This study develops machine learning models to predict CPX noise levels from readily available pavement characteristics, eliminating the need for costly tests during design and planning phases. To train and …

A Semantic Data Management Framework For Uncertainty Quantification In Synchrotron Diffraction Pattern Analysis, Ayorinde E. Olatunde, Ozan Dernek, Erika I. Barcelos, Roger H. French, Anirban Mondal

Student Scholarship

Advancements in technology have enabled scientists and engineers in the synchrotron science domain to generate high-dimensional data. To conduct a machine learning study on these data, an analyst undergoes multiple analytical stages, including dimensionality reduction, predictive modelling, and uncertainty quantification (UQ).

To ensure reproducibility in science, it is necessary to document the semantic relationships among the stages of the analysis to enable provenance, interoperability, and knowledge reuse. In this work, we present a Semantic Data Management (SDM) framework rooted in FAIR principles that provides ontologies for UQ workflows. We illustrate the application of UQ ontology in synchrotron diffraction pattern analyses …

Tubuh Yang Mengingat (The Body Remembers): Ecology, Ritual, And Embodied Memory In Contemporary Cirebon Mask Performance, Prameswari Mrajabwana

Theses and Dissertations

Tubuh yang Mengingat (The Body Remembers) is a single-channel, site-specific performance film set across coastal and extractive landscapes in Cirebon, West Java, Indonesia. Reinterpreting the five transformations of Cirebonese mask dance—Panji, Pamindo, Rumyang, Tumenggung, and Kelana—the project examines how colonial extraction, ecological deterioration, and systems of social regulation continue to shape embodied experience materially and somatically. Drawing from Karen Barad’s concept of intra-action and Stacy Alaimo’s notion of trans-corporeality, the work approaches body, land, technology, and history as relationally entangled rather than separate entities. Through live biodata sonification generated from environmental sensors and bodily movement, the film establishes …

Delirious Pink, Reuben Gordon

Theses and Dissertations

How to enliven a tradition as accomplished as painting? With the spirit of New York City and the techniques of Abstract Expressionism and Color Field painting as my backbone, I look to my friends, lovers, and fellow artists to form a thesis defined by love, color, feeling, and individuality.

Revised Draft Final Butte Mine Waste Repository Operation And Maintenance (O&M) Plan, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Wendi Kraemer V. Township Of Rostraver

2026 Decisions

USDC for the Western District of Pennsylvania

Final Bpsou Unreclaimed Sites: Ur-46 Remedial Action Work Plan (Rawp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Generative Ai In Transportation Analytics: Foundations, Deep Generative Models, And Practical Use Cases, Samrad Babaee, Mohsen Naghdi, Ali Mansouri, Abdolmajid Erfani

Michigan Tech Publications

Generative artificial intelligence (Gen-AI) is rapidly reshaping transportation analytics by enabling data synthesis, uncertainty modeling, and decision-oriented reasoning under sparse and complex conditions. This study presents a systematic, use-case-driven review of 142 empirical transportation studies published between 2018 and August 2025, synthesizing how Gen-AI has been adapted, evaluated, and integrated into real transportation workflows. This study distinguishes two dominant model families, deep generative models and foundation models, and show that they serve fundamentally different yet increasingly complementary roles: the former addressing data scarcity and distributional learning, and the latter enabling reasoning, coordination, and decision support. Through bibliometric analysis, topic modeling, …