Open Access. Powered by Scholars. Published by Universities.®

Digital Commons Network™

Open Access. Powered by Scholars. Published by Universities.®

Discipline
Institution
Keyword
Publication Year
Publication
Publication Type
File Type

Articles 52051 - 52080 of 1114133

Full-Text Articles in Entire DC Network

Networked Multi-Agent Deep Reinforcement Learning Framework For The Provision Of Ancillary Services In Hybrid Power Plants, Muhammad Ikram, Daryoush Habibi, Asma Aziz May 2025

Networked Multi-Agent Deep Reinforcement Learning Framework For The Provision Of Ancillary Services In Hybrid Power Plants, Muhammad Ikram, Daryoush Habibi, Asma Aziz

Research outputs 2022 to 2026

Inverter-based resources (IBRs) are becoming more prominent due to the increasing penetration of renewable energy sources that reduce power system inertia, compromising power system stability and grid support services. At present, optimal coordination among generation technologies remains a significant challenge for frequency control services. This paper presents a novel networked multi-agent deep reinforcement learning (N—MADRL) scheme for optimal dispatch and frequency control services. First, we develop a model-free environment consisting of a photovoltaic (PV) plant, a wind plant (WP), and an energy storage system (ESS) plant. The proposed framework uses a combination of multi-agent actor-critic (MAAC) and soft actor-critic (SAC) …

Go to article

Using Machine Learning To Detect Vault (Anti-Forensic) Apps, Michael N. Johnstone, Wencheng Yang, Mohiuddin Ahmed May 2025

Using Machine Learning To Detect Vault (Anti-Forensic) Apps, Michael N. Johnstone, Wencheng Yang, Mohiuddin Ahmed

Research outputs 2022 to 2026

Content hiding, or vault applications (apps), are designed with a secondary, often concealed purpose, such as encrypting and storing files. While these apps may serve legitimate functions, they unequivocally present significant challenges for law enforcement. Conventional methods for tackling this issue, whether static or dynamic, prove inadequate when devices—typically smartphones—cannot be modified. Additionally, these methods frequently require prior knowledge of which apps are classified as vault apps. This research decisively demonstrates that a non-invasive method of app analysis, combined with machine learning, can effectively identify vault apps. Our findings reveal that it is entirely possible to detect an Android vault …

Go to article

Interventions To Improve Timely Cancer Diagnosis: An Integrative Review, Rosann T Cholankeril, Daniel R Murphy, Hardeep Singh, Andrea Bradford May 2025

Interventions To Improve Timely Cancer Diagnosis: An Integrative Review, Rosann T Cholankeril, Daniel R Murphy, Hardeep Singh, Andrea Bradford

Faculty, Staff and Students Publications

Cancer will affect more than one in three U.S. residents in their lifetime, and although the diagnosis will be made efficiently in most of these cases, roughly one in five patients will experience a delayed or missed diagnosis. In this integrative review, we focus on missed opportunities in the diagnosis of breast, lung, and colorectal cancer in the ambulatory care environment. From a review of 493 publications, we summarize the current evidence regarding the contributing factors to missed or delayed cancer diagnosis in ambulatory care, as well as evidence to support possible strategies for intervention. Cancer diagnoses are made after …

Go to article

Generating Training Events For Building Cyber-Physical Security Skills, Avanthika Vineetha Harish, Kimberly Tam, Kevin Jones May 2025

Generating Training Events For Building Cyber-Physical Security Skills, Avanthika Vineetha Harish, Kimberly Tam, Kevin Jones

School of Engineering, Computing and Mathematics

As the threat of cyber attacks increases, the cyber security sector continues to train professionals as one form of mitigation. Gamification and infrastructure like cyber ranges have been proven useful in training cyber security specialists to detect and react to cyber-attacks in information technology. However, a subset of all digital threats target cyber-physical systems, not just information systems, and these threats have been growing rapidly in recent years. While those threats are increasing, training specific to cyber-physical threats is not growing as quickly as information technology training solutions. While cyber ranges are useful for training and supporting events like cyber …

Go to article

College Readiness In Mathematics Related To Student Academic And Belonging Mindsets, Tabitha Sherrell May 2025

College Readiness In Mathematics Related To Student Academic And Belonging Mindsets, Tabitha Sherrell

Electronic Theses and Dissertations

My quantitative study investigated the differences and correlations between students’ academic (growth vs. fixed) mindsets and belonging mindsets when enrolled in a college-level mathematics course or enrolled in both the college-level mathematics and learning support mathematics courses. The study was conducted at a Tennessee community college in the Fall 2021 semester. Sixty-two students completed the paper survey, which consisted of 17 items that measured academic (growth vs. fixed) and belonging mindsets and included demographic items (age and gender) and ACT mathematics scores. I conducted independent t-tests to find any significant differences between academic (growth vs. fixed) mindset scores and belonging …

Go to article

Mathematics Outcomes For Career And Technical Students Enrolled At A Community College In East Tennessee, Malissa Trent May 2025

Mathematics Outcomes For Career And Technical Students Enrolled At A Community College In East Tennessee, Malissa Trent

Electronic Theses and Dissertations

The primary purpose of this study was to compare the success of college-ready and academically underprepared community college students in a college-level math course designed for career and technical programs. A non-experimental two-group comparative design with existing data examined differences in academic metrics based on participation in a corequisite learning support mathematics course. The study used a sample size of 1070 students from a community college in East Tennessee who were enrolled in a college-level Trigonometric Applications course between the fall of 2015 and the spring of 2024. Due to a lack of prior academic preparation, 500 of these students …

Go to article

Digital Revival: The Role Of Social And Streaming Media In The Resurgence Of Appalachian Country Music, Jacob Cody Powers May 2025

Digital Revival: The Role Of Social And Streaming Media In The Resurgence Of Appalachian Country Music, Jacob Cody Powers

Electronic Theses and Dissertations

This study investigates the role of digital media, specifically social media, and streaming platforms, in the resurgence of Appalachian country music. In recent years, niche music genres have found new life through online platforms, which offer unique avenues for discovery, engagement, and community building. Using a mixed methods approach, this research combines quantitative survey data and qualitative thematic analysis to explore how audiences discover Appalachian country music on platforms such as TikTok, YouTube, and Spotify. A cross-sectional survey was distributed to college students and social media users, collecting responses on participants' digital engagement habits, platform preferences, and motivations for exploring …

Go to article

Car Price Prediction Using Machine Learning: Analyzing The Dvm-Car Dataset, Yaman Abu Ghareebaih May 2025

Car Price Prediction Using Machine Learning: Analyzing The Dvm-Car Dataset, Yaman Abu Ghareebaih

Electronic Theses and Dissertations

The objective of this study is to predict car prices using machine learning models and the DVM-CAR dataset, which includes over 1.4 million images and car specifi- cations from 899 car models. Key factors such as mileage, engine power, and year of registration were analyzed for their correlation with car prices. Extensive data cleaning was performed, including filling missing values, identifying outliers, and normalizing numerical variables. Discrete variables like car make and body type were encoded using one-hot encoding. Linear relationships were analyzed with Multiple Logistic Regression, and Random Forest models were used for nonlinear patterns. Model performance was evaluated …

Go to article

Development Of A Portable Electroencephalogram With Display, Seth D. Davis May 2025

Development Of A Portable Electroencephalogram With Display, Seth D. Davis

Electronic Theses and Dissertations

In this experiment, the goal was to design, build, and test an Electroencephalogram (EEG) circuit that would then be paired with a touchscreen display as a portable unit for use in Schizophrenic research at East Tennessee State University at the Quillen College of Medicine. The requirements for this prototype denoted that the device had to be able to obtain a signal from two electrodes placed on the head of an individual with a third attached to the ankle as a ground, amplify and filter the signal, and display the results on a touchscreen display for recording and analyzing. The circuit …

Go to article

Metastatic Medulloblastoma Remodels The Local Leptomeningeal Microenvironment To Promote Further Metastatic Colonization And Growth, Alexander Bahcheli, Randy Van Ommeren, Kyle Juraschka, Maria Vladoiu, Winnie Ong, Bryn Livingston, Pasqualino De Antonellis, Michelle Ly, Borja López Holgado, Olga Sirbu, Shahrzad Bahrampour, Hyun-Kee Min, Jerry Fan, Carolina Nor, Abhirami Visvanathan, Jiao Zhang, Hao Wang, Lei Qin, Ning Huang, Jonelle Pallotta, Tajana Douglas, Esta Mak, Haipeng Su, Karen Ng, Kevin Yang Zhang, Craig Daniels, Calixto-Hope G Lucas, Charles G Eberhart, Hailong Liu, Tao Jiang, Faiyaz Notta, Vijay Ramaswamy, Jüri Reimand, Marco Gallo, Jeremy N Rich, Xiaochong Wu, Xi Huang, Michael D Taylor May 2025

Metastatic Medulloblastoma Remodels The Local Leptomeningeal Microenvironment To Promote Further Metastatic Colonization And Growth, Alexander Bahcheli, Randy Van Ommeren, Kyle Juraschka, Maria Vladoiu, Winnie Ong, Bryn Livingston, Pasqualino De Antonellis, Michelle Ly, Borja López Holgado, Olga Sirbu, Shahrzad Bahrampour, Hyun-Kee Min, Jerry Fan, Carolina Nor, Abhirami Visvanathan, Jiao Zhang, Hao Wang, Lei Qin, Ning Huang, Jonelle Pallotta, Tajana Douglas, Esta Mak, Haipeng Su, Karen Ng, Kevin Yang Zhang, Craig Daniels, Calixto-Hope G Lucas, Charles G Eberhart, Hailong Liu, Tao Jiang, Faiyaz Notta, Vijay Ramaswamy, Jüri Reimand, Marco Gallo, Jeremy N Rich, Xiaochong Wu, Xi Huang, Michael D Taylor

Faculty, Staff and Students Publications

Leptomeningeal metastases are the major source of morbidity and mortality for patients with medulloblastoma. The biology of the leptomeningeal metastases and the local tumour microenvironment are poorly characterized. Here we show that metastasis-associated meningeal fibroblasts (MB-MAFs) are transcriptionally distinct and signal extensively to tumour cells and the tumour microenvironment. Metastatic cells secrete platelet-derived growth factor (PDGF) ligands into the local microenvironment to chemotactically recruit meningeal fibroblasts. Meningeal fibroblasts are reprogrammed to become MB-MAFs, expressing distinct transcriptomes and secretomes, including bone morphogenetic proteins. Active bone morphogenetic protein signalling and co-implantation of tumour cells with MB-MAFs enhances the colonization of the leptomeninges …

Go to article

Nature Meets Nurture: How Sustainable Design Can Cultivate Urban Renewal Along Commonwealth Ave. In Gary New Duluth, Katerina Kroska May 2025

Nature Meets Nurture: How Sustainable Design Can Cultivate Urban Renewal Along Commonwealth Ave. In Gary New Duluth, Katerina Kroska

Landscape Architecture Theses

This project reimagines a downtown corridor in the Gary-New Duluth neighborhood, transforming it into a vibrant, pedestrian-friendly streetscape that fosters community connectivity and economic vitality. Historically defined by the rise and fall of the U.S. Steel Duluth Works plant, the area has struggled with fragmented land use, low-density development, and vehicle-dominated streets. In response, the design introduces a multi-layered public plaza system that activates underutilized spaces, creating a network of walkable, human-scaled environments. Curvilinear streets slow traffic, enhancing pedestrian and cyclist safety, while green infrastructure promotes ecological health. Inspired by Jan Gehl's principles of protection, comfort, and delight, the corridor …

Go to article

Sliding Window Method For Simulating Action Potentials In Axons, Hayden Reed May 2025

Sliding Window Method For Simulating Action Potentials In Axons, Hayden Reed

Honors Theses

ABSTRACT Hodgkin and Huxley’s nonlinear partial differential equations model the excitation and propagation of action potentials in neurons, and there have been numerous attempts at finding the best numerical solution method. This thesis proposes a novel approach to solving these equations: the Sliding Window method, in which a fixed sub-interval is found through capturing the signal’s head and tail. The system is then solved on the sub-interval instead of the entire interval. Using the Sliding Window technique also involves implementing the backward and forward Euler methods and the finite difference method. It will be demonstrated that, in utilizing the Sliding …

Go to article

Investigating Self-Healing Mechanisms In Host-Pathogen Interactions: A Literature Review Of Macrophage Functions In Tuberculosis, Blessing Savusa May 2025

Investigating Self-Healing Mechanisms In Host-Pathogen Interactions: A Literature Review Of Macrophage Functions In Tuberculosis, Blessing Savusa

Open Access Theses & Dissertations

Tuberculosis (TB) remains a leading cause of mortality, particularly in underdeveloped regions. Mycobacterium tuberculosis (Mtb) is regarded as one of the most successful pathogens due to its ability to evade host immunity and persist within granulomas. Macrophages are the first-line host defenders that engulf Mtb into phagosomes, which initiates lysosomal activity for degradation. However, the virulence factor of Mtb is able to inhibit phagolysosome fusion. The host immune system forms granulomas to contain the mycobacterium at the site of inflammation. This, in turn, causes a necrotic state and causes tissue damage from the prolonged inflammation. Studies suggest that the host's …

Go to article

Impact Of Magnetic Fields On Cosmic Ray Density In Molecular Clouds, Byron Jesus Encinas Velazquez May 2025

Impact Of Magnetic Fields On Cosmic Ray Density In Molecular Clouds, Byron Jesus Encinas Velazquez

Open Access Theses & Dissertations

We investigate the effects caused by Cosmic Rays (CRs) in a Molecular Clouds (MCs) environment and the effects of varied magnetic field configurations in the core (r = 1 Pc ) of a MC. We take as initial conditions for the interstellar medium a product of various supernova explosions as injected initial perturbation and observe the evolution during the timescale of ~4.5 Myrs. We compute the CR reduction factor R as a measure of the density of a distribution of particles traveling with a guiding center along randomized field lines near the core and discuss their impact on the ionization …

Go to article

A Profile Wald Test In M-Estimation, Reagan Kesseku May 2025

A Profile Wald Test In M-Estimation, Reagan Kesseku

Open Access Theses & Dissertations

Despite the growing popularity of machine learning-based inference, classical statistical inference remains highly relevant in modern data science due to its interpretability and theoretical rigor. Among its core tools, the likelihood ratio test, Wald test, and score test are foundational methods for hypothesis testing within the maximum likelihood framework. Although these tests are asymptotically equivalent under regularity conditions, each offers distinct advantages depending on the context, computational demands, and the availability of parameter estimates. In this dissertation, we introduce a fourth method, the Profile Wald Test (PWT), within the broader M-estimation framework. The PWT is based on profile estimators of …

Go to article

Advancing Additive Manufacturing For Extreme Environments Through Simulated Microgravity Printing, Laura Nayeli Molina May 2025

Advancing Additive Manufacturing For Extreme Environments Through Simulated Microgravity Printing, Laura Nayeli Molina

Open Access Theses & Dissertations

Additive Manufacturing (AM) holds significant potential for space exploration by enabling on-demand fabrication of components, reducing payload costs, and enhancing mission adaptability. However, microgravity introduces challenges in thermal regulation, material deposition, and structural integrity. This research explores the feasibility of submerged AM using neutral buoyancy in silicone oil to simulate microgravity conditions on Earth. A 3D printer was modified for submerged operation, with samples printed under three conditions: no oil (ambient air), submerged in oil, and simulated microgravity at varying temperatures. Mechanical tests, fracture surface analysis, and density measurements were performed to evaluate tensile strength, surface adhesion, and dimensional stability. …

Go to article

From Text To Utility: Distance-Aware Contrastive Learning For Detection-Ready And Shareable Malware Descriptions, Ivan Alejandro Montoya Sanchez May 2025

From Text To Utility: Distance-Aware Contrastive Learning For Detection-Ready And Shareable Malware Descriptions, Ivan Alejandro Montoya Sanchez

Open Access Theses & Dissertations

The rapid rise of sophisticated malware variants poses significant challenges for cybersecurity analysts, particularly due to the scarcity of data on newly emerging threats. Due to privacy, legal, and operational constraints, malware samples are often not shareable; instead, organizations publish cyber threat intelligence (CTI) in natural language. However, these reports are typically unstructured and inconsistent, limiting their utility in machine learning (ML) models. This thesis explores whether high-fidelity, shareable threat intelligence can be automatically generated from structured malware behaviors to supplement ML models when direct access to malware samples is limited. Two central questions are addressed:(i) How can descriptions be …

Go to article

Digital Twin Use Case At El Paso International Airport, Matyas Mori May 2025

Digital Twin Use Case At El Paso International Airport, Matyas Mori

Open Access Theses & Dissertations

This thesis explores the potential of implementing Digital Twin technology in airports, with a concrete use case at the Innovation Factory at El Paso International Airport. The Digital Twin model was developed using project documentation and LiDAR scanning, resulting in point cloud datasets that served as the foundation for further analysis. A comparison was conducted between reality-captured data and the model created from project documentation, highlighting the presence of noise in the field data. This analysis revealed key challenges and identified opportunities to enhance efficiency through automation. Instead of relying on a resource-intensive manual process to clean point cloud datasets …

Go to article

Towards Mitigation Of The Light Network Load Performance Penalty Of The Network Link Outlier Factor (Nlof), Jaime Merin Guzman May 2025

Towards Mitigation Of The Light Network Load Performance Penalty Of The Network Link Outlier Factor (Nlof), Jaime Merin Guzman

Open Access Theses & Dissertations

Detecting and localizing faults in communication networks is critical to maintaining reliable and efficient network operations. The Network Link Outlier Factor with Most Likely Link (NLOF: MLL) algorithm has demonstrated its potential to automate this task but suffers from significant performance degradation under low network load conditions, where limited network flow data reduces its ability to localize faults. This thesis proposes and evaluates the performance of a synthetic traffic generation algorithm to be used with NLOF:MLL. This algorithm strategically injects synthetic flows that supplement the insufficient real network flows, thereby improving NLOF:MLL's performance under low-load conditions. Specifically, we select network …

Go to article

Hidden Layer Reshaping On Convolutional Neural Network, Alan Delgado May 2025

Hidden Layer Reshaping On Convolutional Neural Network, Alan Delgado

Open Access Theses & Dissertations

Artificial Intelligence (AI) technologies have become really popular in recent years. From ChatGPT to Tesla cars, many applications can benefit from these type of technologies. Automotive, healthcare, biomedical, cybersecurity, finances, and retail are some of the fields that take advantage of it. It has been seen that AI can solve complex problems, but there is still work to be done to optimize it. A deep learning neural network (DLNN) tries to simulate how a human brain operates. These DLNNs are made up of artificial neurons which are connected by weight that are modified when the network is trained. These networks …

Go to article

Development Of Porous Separators For Lithium-Ion Batteries Via 3d Printing And Thermally Induced Phase Separation, Abraham Enchinton May 2025

Development Of Porous Separators For Lithium-Ion Batteries Via 3d Printing And Thermally Induced Phase Separation, Abraham Enchinton

Open Access Theses & Dissertations

Additive manufacturing processes allow the development of custom-shape rechargeable batteries, but research in custom filaments for fused deposition modeling (FDM) of battery separators has remained limited until now. This study discusses the development and optimization of a composite thermoplastic filament feedstock to 3D print separator membranes. A number of post-processing steps - leveraging the thermally induced phase separation (TIPS) of the composite filament - are introduced in tandem with FDM to promote microporosity formation through the removal of the sacrificial diluent phase within 3D printed samples. Three distinct compositions of varying polymer/diluent ratios were developed and thoroughly investigated through thermogravimetric …

Go to article

Tailoring Functional And Sensing Properties Of Polymer-Ceramic Composites Via 3d Printing, Alexis Lopez May 2025

Tailoring Functional And Sensing Properties Of Polymer-Ceramic Composites Via 3d Printing, Alexis Lopez

Open Access Theses & Dissertations

Section 1.1. Abstract This chapter investigates the use of direct ink write (DIW) additive manufacturing to control grain orientation in non-toxic barium titanate (BTO) ceramics by blending spherical and platelet-shaped particles in the ink. A series of inks containing 0–40 wt.% BTO platelets were formulated with poly(vinyl alcohol), polyethylene glycol, poly(acrylic acid-co-maleic acid), and ammonium hydroxide to ensure printability and homogeneous dispersion. Cylindrical specimens (20 mm × 3 mm) were printed using a Hyrel 30M DIW system and subjected to de-binding (650 °C, 2 h) followed by a two-step sintering schedule (T₁: 1200–1350 °C; T₂: 700–850 °C; 24 h dwell). …

Go to article

Charging Infrastructure Needs For Electric Trucks In Texas, Katerina Jilkova May 2025

Charging Infrastructure Needs For Electric Trucks In Texas, Katerina Jilkova

Open Access Theses & Dissertations

This thesis focuses on the design of a methodology for determining the optimal location of charging stations for heavy-duty electric trucks. The work focuses primarily on long-distance trips that require charging the truck battery outside cities, where the range of charging stations is not extensive. In addition to design the algorithm, the thesis also focuses on implementing the algorithm on a specific case - the implementation of charging stations in the I-10 Freeway corridor between El Paso and San Antonio. The output of the work is not only a description of the procedure, but also an application to a real …

Go to article

Navigating The Transition: Hispanic High School Graduates' Experiences With Eight-Week College Semesters, Jonathan Nickerson May 2025

Navigating The Transition: Hispanic High School Graduates' Experiences With Eight-Week College Semesters, Jonathan Nickerson

Open Access Theses & Dissertations

This study explored the transition from high school to higher education within the context of eight-week academic semesters for Hispanic students. Utilizing Interpretative Phenomenological Analysis (IPA) and grounded in Schlossberg's Transition Theory, the research investigates the lived experiences of Hispanic high school graduates navigating accelerated college courses. The students faced challenges such as time management, transportation, and financial constraints, they also exhibit resilience and adaptability. The eight-week semester format was generally perceived positively, offering flexibility and fostering a sense of achievement.

Go to article

Investigation Of High-Frequency Electron Spin Dynamics In The Kagome-Lattice Ymn6sn6 Crystal, Lovia Ofori May 2025

Investigation Of High-Frequency Electron Spin Dynamics In The Kagome-Lattice Ymn6sn6 Crystal, Lovia Ofori

Open Access Theses & Dissertations

Kagome magnetic crystals received a great deal of research attention in the recent past for their intriguing magnetic properties. Recently, YMn6Sn6 (Y166) has shown to exhibit several nontrivial magnetic phases (such as the Distorted Spiral (DS) phase, Transverse Conical Spiral (TCS) phase, Fan-like (FL) phase and the Forced-Ferromagnetic (FF) phase) and complex magnetic interactions. In this work, we employed very high-frequency electron paramagnetic resonance (VHF-EPR) spectroscopy to investigate the local microscopic magnetic interactions of Mn ions in the Kagome Crystal Y166 to better understand the new observed magnetic phases. Particularly, we studied the temperature-dependent EPR behavior at variable very-high microwave …

Go to article

A Numerical Study Of Self-Assembling Amphiphilic Systems, Joshua Albert Sackey May 2025

A Numerical Study Of Self-Assembling Amphiphilic Systems, Joshua Albert Sackey

Open Access Theses & Dissertations

Mixing processes in ternary mixtures involve immiscible fluids such as oil and water, and a surface-active molecule called surfactant. These physical processes find applications in various fields, including enhanced oil recovery, drug delivery design systems, and the formulation of cleaning products. Even though this process has several applications, the mathematical models describing it and the numerical methods solving it are not well understood. The underlying mathematical model is a nonlinear initial-boundary value problem involving sixth-order derivatives and belongs to the class of sixth-order Cahn-Hilliard equations. Authors Sharma and Tierra recently proposed a numerical method to approximate its solutions in two …

Go to article

Leveraging Publicly Available Data To Identify Candidate Intersections For Tactical Urbanism Efforts Using Geospatial Analysis, Luisa Maria Venegas May 2025

Leveraging Publicly Available Data To Identify Candidate Intersections For Tactical Urbanism Efforts Using Geospatial Analysis, Luisa Maria Venegas

Open Access Theses & Dissertations

Urban strategies and countermeasures to increase pedestrian safety in low-density neighborhoods have been proposed by the Federal Highway Administration. Often municipalities have limited resources and would like to have a strategy to achieve maximum impact per dollar spent, as is the case in El Paso. El Paso's urban landscape is a mix of urban, residential, and commercial in the exurbs of the city. Most of El Paso consists of low-density industrial land, commercial strips, and residential development. A scalable and transferable approach was developed to identify intersections that have the potential to reduce traffic-related fatalities and increase pedestrian safety through …

Go to article

De Novo Design Of Ablative Polymers For Aerospace Thermal Protection Systems Through An Integrated Ai-Theory-Experiment Approach, Rene Damaso Boisseau May 2025

De Novo Design Of Ablative Polymers For Aerospace Thermal Protection Systems Through An Integrated Ai-Theory-Experiment Approach, Rene Damaso Boisseau

Open Access Theses & Dissertations

Novolac phenolic resin (NPR) is a widely used polymeric ablative material (PAM) for thermal protection systems (TPS) due to its high thermal decomposition temperature (TD, 500â?¯Â°C) and char yield (YC, 55â?¯wt%). However, its drawbacks (including high thermal conductivity, low mechanical properties and water uptake) prompt the need for improved PAMs. This study explores the pyrolysis behavior and char-forming capabilities of NPR and a potential alternative PAM, poly(1,6-dimethyl phenol) (PPO), through both theoretical and experimental approaches. A graph neural network (GNN) was developed to predict structure-property relationships, revealing that benzyl group positioning and oxygen atom placement significantly influence YC. PPO's para-positioned …

Go to article

Generative Ai For 3d Printed Antenna Design, Jennifer Ann Chavez May 2025

Generative Ai For 3d Printed Antenna Design, Jennifer Ann Chavez

Open Access Theses & Dissertations

This research explores the integration of generative artificial intelligence (AI) with a physics-informed particle swarm optimizer (PSO) to develop 3D printable microstrip patch antennas. A neural network was trained on a dataset of microstrip patch antenna geometries and their corresponding performance metrics: return loss and gain. The PSO used a fitness function prioritizing low return loss in potential antennas, eventually yielding novel antenna geometries with parasitic components. 3D printing constraints were also hard coded into the framework, thus preventing any geometries being generated that cannot be fabricated. When simulated using Ansys HFSS, the AI generated microstrip patch antennas exceeded the …

Go to article

The Depths Of Horror: Exploring The Manifestation Of Fear In The Natural World, Jordan Eugene Easley May 2025

The Depths Of Horror: Exploring The Manifestation Of Fear In The Natural World, Jordan Eugene Easley

Open Access Theses & Dissertations

The horror genre is uniquely powerful in that it is one of the only hands of fiction with the ability to reach off the page and follow you. The feeling of fear originally formed in the confines of a scary story can lie dormant in the reader after the story has finished and be resurfaced later by a related trigger. On a late night after work walking through a deserted car garage, home alone in the middle of a storm, or stumbling into an abandoned hospital, the reader is imbued with an ability to detect a threat that was previously …

Go to article

First Prev Next Last