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A Neuroimmune Circuit Mediates Chemo Brain Pathology, Daniel Ahmadi

McKelvey School of Engineering Graduate Student Theses & Dissertations

Chemotherapeutic agents, while effective in targeting malignant tumors, often reduce the patients’ quality of life by inducing fatigue, pain, and motivational deficits. These symptoms are collectively referred to as “chemo brain.” The mechanisms underlying these adverse effects, and specifically whether fatigue and motivational impairments share a common etiology, remain poorly understood. The neural–immune substrates of these symptoms remain obscure, in part because standard preclinical regimens either bypass key systemic signals or introduce local toxicity confounds. Here, I establish and validate a three‑day, low‑dose intravenous cisplatin protocol that avoids peritoneal inflammation and severe renal injury yet produces robust, reversible fatigue and …

A Study Of The Impact Of Balancing, Geometric Transformation, Generative Networks, And Roi Techniques In Eye Diseases Classification, Sghaira Hareb Alnuaimi

Theses

Automatic detection of ocular diseases helps medical professionals efficiently identify eye disorders, reduce diagnostic errors, and accelerate diagnoses to prevent blindness. Deep learning has been successfully utilized in various fields, including medical image classification. However, in spite of these advancements, challenges remain in ocular disease classification.

The objective of this work is to address these challenges using data processing, data augmentation in combination with Region of Interest (ROI) techniques. Medical datasets often suffer from scarcity, imbalance, and low-quality images, leading to inaccurate classification. To mitigate these issues, we utilize the ODIR dataset, which contains 7,000 labelled training images for both …

Kinetic Growth Rate Analysis Of Coelastrella Sp. In Aquaculture Wastewater., Rob Skarvan

Master of Engineering Theses

The demand for sustainable food and energy production continues to rapidly rise. Utilizing aquaculture wastewater as microalgae growth medium is a potential opportunity for nutrient recycling and industrial symbiosis, but more research is required to understand how best to design and scale-up a dual-purpose facility. This study investigates the growth of Coelastrella sp. in aquaculture wastewater compared to industry-standard growth medium BG-11 and modified tap water as controls. Though cell size and pigment density varied throughout media, aquaculture wastewater performed very comparably to BG-11 as a microalgae culture broth.

The Monod equation can model Coelastrella sp. growth based …

Minimizing Secondary Spinal Cord Injuries With Hypertonic Saline., Francisco A. Cortez-Thomas

Master of Engineering Theses

Spinal cord injury (SCI) disrupts white matter, causing periaxonal swelling, axonal degeneration, and impaired function. To examine vascular edema’s role, we developed a 3Dprinted dual-compartment imaging chamber to mimic and manipulate interstitial and vascular fluid dynamics in real time. We hypothesized that hypertonic saline (HTS) in the "vascular" chamber would osmotically shift fluid from the periaxonal space and preserve myelinated fibers after SCI. Using two-photon excitation microscopy, we imaged myelin and axons ex vivo in Thy1^YFP+ transgenic mice following C5 contusive SCI and assessed three clinically relevant HTS concentrations versus normal saline for their effectiveness in mitigating periaxonal swelling …

Selecting Green Wall Adoption Best Solutions Using Optimization: Addressing Barriers And Maximizing Benefits, Samar Nadeem

Theses and Dissertations

This research explores the potential of green walls as a sustainable solution to mitigate urban challenges and align with global climate change objectives. Despite their ecological and social benefits, green wall implementation faces significant barriers, hindering their adoption. Consequently, this study aims to develop a comprehensive framework to identify the obstacles, propose feasible solutions, and provide actionable strategies for promoting green walls. This framework incorporates an optimization model specifically designed for government-led solutions, evaluating their feasibility based on administrative feasibility, community acceptance, technical feasibility, industrial acceptance, and long-term adoption potential. By quantifying and prioritizing solutions based on their cost, feasibility, …

Gene Mutation And Chemotherapy Response In Azoxymethane Induced Colorectal Tumors, Maya M. Vance

Biomedical Engineering Undergraduate Honors Theses

Colorectal cancer research is a field of increasing importance as disease prevalence continues to increase over time. In looking at the origin of the disease, a driver gene known as p53 is of particular interest for its role in the stimulation of the mutated Wnt pathway. Developing as a missense-type mutation, this gene that ordinarily functions as a tumor suppressor is investigated as a gene of interest for tumor development. In this study, a mouse model was used to examine the development of colorectal cancer with a total of n=34 samples, including n=9 tumors and n=25 colons. The concentration of …

Characterizing Human Mobility Patterns In Saudi Arabia Using Cellular Data, Meshal Alnefaie

Theses and Dissertations

The study analyzes human mobility in Saudi Arabia. Using crowd-source data, Riyadh mobility is analyzed to find trends and highlight mobility patterns of individuals in Riyadh. Then, the mobility of Riyadh is compared with that of Jeddah and Dammam in a similar data collection and analysis. Four mobility metrics are utilized: Number of Visited Locations (NLOC), Number of Unique Locations (NULOC), Radius of Gyration (RGYR), and Distance Traveled (DTRV). The results show interesting outcomes about individuals in the three cities. Although these cities are far from each other, they observe the same mobility patterns. These findings have the potential to …

Car Damage Detection Using Deep Learning, Rahul Varma Indukuri Sr.

Electronic Theses, Projects, and Dissertations

Growing vehicle usage has resulted in a notable increase in road accidents, so it is imperative to have effective systems for identifying and evaluating vehicle damage. This work aims to create a computer vision and deep learning-based automated car damage detection system. This project's main goal is to develop a model that, using visual cues, can categorize car photos as either damaged or undamaged.

The algorithm operates in two steps: first, determining whether the picture features an automobile; then, it classifies the state of the car—damaged or undamaged. We thus employ the InceptionV3 model for damage classification and the MobileNet …

Mechanistic Investigation Of Ring-Opening Polymerization Of Polycaprolactone Using Tin(Ii) Catalysts: Ligand Effects And Biomedical Applications, Eva-Larue M. Barber

Honors Scholar Theses

This research explores the mechanistic aspects of ring-opening polymerization (ROP) of ε-caprolactone (CL) to produce polycaprolactone (PCL), a biodegradable polymer widely used in biomedical applications. The study investigates how light exposure and catalyst concentration influence polymerization efficiency, using tin(II) 2-ethylhexanoate [Sn(Oct)₂] as the catalyst in a non-polar toluene solvent at 90 °C. Reactions were conducted under either ambient light or black light bulb (BLB) illumination, with monomer-to-catalyst ratios of 1:1 and 200:1.

Proton nuclear magnetic resonance (¹H NMR) spectroscopy was used to analyze conversion efficiency by tracking the disappearance of monomer signals and appearance of characteristic PCL peaks. Results revealed …

Evaluating Structural Response Of Steel I-Girder Bridges Under Different Support Conditions: Construction Loading In Skewed Straight And Thermal Loading In Horizontally Curved Configuration, Bikesh Sedhain

Theses and Dissertations

Skewed and horizontally curved steel I-girder bridges are commonly designed and constructed to connect existing roadways and navigate obstacles in densely populated areas. However, these bridges can introduce significant challenges to bridge design and analysis, including complex lateral movements and torsional effects. Simplified support representation techniques that are commonly adopted in analysis and design may not accurately capture these effects, which lead to potential misestimations of bridge responses. This research aims to evaluate skewed and curved steel I-girder bridges for complicated loading and support conditions – skewed integral abutment bridges were studied during pre-composite deck placement and horizontally curved bridges …

Vibration-Based Algorithm For Diagnostic And Prognostic Condition Monitoring Of Railroad Bearings And Wheels, Jeffery Ray Pams

Theses and Dissertations

Bearing and wheel failure accounts for the majority of equipment-related train derailments on US railroads. Current wayside monitoring systems have been insufficient in the prevention of catastrophic derailments prompting the rail industry to explore the possible integration of onboard condition monitoring systems into their rail operations. The University Transportation Center for Railway Safety (UTCRS) in partnership with Hum Industrial Technology, Inc., has developed a wireless onboard system intended for the condition monitoring of railroad bearings and wheels. This thesis presents the development, evaluation, and implementation of an algorithm designed to be used in conjunction with these systems to provide railroad …

Evaluating The Role Of Electrostatic Forces In The Adsorption Of Perfluoroalkyl Substances To Granular Activated Carbon, Thomas A. Mccall

All Theses

In response to new drinking water regulations announced by the EPA in 2024, many municipalities will need to monitor concentrations and implement new treatments to address PFAS, a class of anthropogenic organic contaminants. A leading technology for this application is GAC adsorption due to its familiarity and availability. The adsorption of four PFAS species (PFBA, PFBS, PFOA and PFOS) to Calgon Filtrasorb400 (F400) was evaluated for a range of pH and ionic strength conditions to investigate the role of electrostatic interactions in adsorption capacity. These PFAS are all strong acids, so pH was used as a control for GAC surface …

Graph Based Deep Reinforcement Learning Aided By Transformers For Multi-Agent Cooperation, Michael S. Elrod

All Theses

Mission planning for a fleet of cooperative autonomous drones in applications that involve serving distributed target points, such as disaster response, environmental monitoring, and surveil- lance, is challenging, especially under partial observability, limited communication range, and uncertain environments. Traditional path-planning algorithms struggle in these scenarios, particu- larly when prior information is not available. To address these challenges, I propose an innovative framework that integrates Graph Neural Networks (GNNs), Deep Reinforcement Learning (DRL), and transformer-based mechanisms for enhanced multi-agent coordination and collective task ex- ecution. My approach leverages GNNs to model agent-agent and agent-goal interactions through adaptive graph construction, enabling efficient …

Gene Editing Combined With Apap Diet-Mediated Selection In A Ldlr-/- Mouse Model Of Familial Hypercholesterolemia, Pramita Suresh

All Theses

Cell-based gene therapy has garnered significant interest in treating familial hypercholesterolemia (FH), an autosomal co-dominant disorder characterized by elevated low-density lipoprotein cholesterol (LDL-C) levels. However, achieving a therapeutic threshold level of engraftment of gene-modified cells is a significant hurdle. In FH, as in most liver diseases, the transplantation of healthy gene-modified hepatocytes does not result in a selective advantage for the healthy hepatocytes over native hepatocytes for clonal expansion in the liver. In FH, as in most liver diseases, the transplantation of healthy gene-modified hepatocytes does not provide a selective advantage for the healthy hepatocytes over native hepatocytes regarding clonal …

Tracing Wave Induced Flow Field Surrounding Reef Balls, Alexis Scheele

Theses and Dissertations

This study aims to explore the wave-induced flow dynamics around Reef Ball models using dye tracing techniques. Reef Balls are hemispherical artificial reefs with a hollow center and cavities throughout each face, they are designed in this manner to enhance coral reef restoration. Reef Balls rely on wave energy and current motion to facilitate water circulation and nutrient exchange within and surrounding their structure. To understand how wave action influences flow patterns around these artificial reefs, a scaled model experiment was designed to simulate real-world conditions. The experiments were conducted in the wave flume at Florida Institute of Technology’s Surf …

Effects Of Different Blue Light Conditions On Saos-2 Cell Viability, Differentiation, And Mineralization, Jamielyn Alcantara Jarvis

Theses and Dissertations

Photobiomodulation (PBM) is a low-intensity light therapy that uses non-ionizing forms of energy to induce a directed cellular response. Prior work has investigated the effects of blue light exposure at energy densities ranging from 1 J/cm2 to 10 J/cm2 on osteogenic differentiation of human gingival mesenchymal stem cells (hGMSCs), human dental pulp stem cells (hDPSCs), and stem cells from the apical papilla (SCAPs) and shown promising outcomes at 4 J/cm2 and then having a detrimental impact at higher energy densities. One key caveat in prior studies is that the blue light energy density was modulated by changing the light exposure …

Improving Home Security Through User Centered Device Positioning, Lalith Nadipalli

Theses and Dissertations

In today’s world, where technology is advancing rapidly and security threats are becoming more complex, the need for effective home safety measures is more critical than ever. Homeowners are increasingly turning to a variety of smart devices, such as smoke detectors, carbon monoxide detectors, and security cameras, to protect their living spaces against potential dangers like burglary, fire, and environmental hazards. These devices offer essential protection, acting as both early warning systems and visual surveillance tools. However, their effectiveness largely hinges on how well they are placed within the home. Proper placement of these safety devices ensures that they provide …

The Impact Of System Transparency On Perceived System Reliability, Perceived System Usability, And Information Clarity In Self-Driving Car Systems, Uditkumar Nair

Theses and Dissertations

In human-computer interaction (HCI), the development of autonomous vehicle (AV) technology has created new difficulties, especially in building user confidence as well as understanding of system functioning. The effect of system transparency on user- centered outcomes, such as perceived usability, perceived system reliability, and information clarity, is examined in this thesis. In order to evaluate their experiences in both ordinary and high-stakes driving situations, participants engaged with both system- transparent user interfaces (TUIs) and non-transparent user interfaces (NTUIs) across a number of experimental scenarios. In order to assess how well each interface conveyed system logic and actions, the study included …

Advancing Precision And Autonomy In Agriculture And Medical Imaging Through Ai And Computer Visions, Tan-Hanh Pham

Theses and Dissertations

Deep learning has revolutionized numerous fields by enhancing precision, automation, and decision-making capabilities. This dissertation explores its applications in agriculture and medical image processing, introducing novel methodologies to improve accuracy and efficiency in these domains. These fields hold critical societal importance -- agriculture underpins global food security and sustainability, while medical imaging drives advancements in diagnostics and personalized healthcare, both benefiting significantly from data-driven innovations. In agriculture, deep learning is applied to precision spray systems through droplet analysis. Specifically, a generative model is designed to create synthetic droplet images, addressing the challenge of limited training samples, which are expensive …

Use Of Pushed-In Pencel Pressuremeter Test For Shallow Foundation Design In Florida Fine Sands, Brhane Weldeanenya Ygzaw

Theses and Dissertations

A comprehensive evaluation was conducted on the performance, consistency, and practical application of various in-situ geotechnical testing methods for predicting the settlement and bearing capacity of shallow foundations in Florida’s fine sands. The methods assessed include the Standard Penetration Test (SPT), Cone Penetration Test (CPT), Dilatometer Test (DMT), pushed-in PENCEL Pressuremeter Test (PPMT), and the pre-bored TEXAM Pressuremeter Test. A dual approach controlled indoor testing at the FDOT State Materials Office (SMO) and field investigations at three representative sites (Kingsley, Trenton, and the UCF research site), formed the experimental foundation.

Over thirty settlement prediction techniques and thirteen bearing capacity estimation …

Cross-Dataset Fairness Evaluation Of Transformer-Based Sentiment Models, Sara Zuiran

Theses and Dissertations

With the growing exploration of Natural Language Processing (NLP) systems in decision-making environments, it is essential to evaluate technical and ethical aspects of the dataset and the NLP model to improve fairness. To assess fairness, the thesis examines demographic imbalances in sentiment classification models by evaluating transformer-based models fine-tuned on the Stanford Sentiment Treebank version 2 dataset (SST-2) against the demographically annotated Comprehensive Assessment of Language Model dataset (CALM). This work identifies performance disparities in sentiment prediction across demographic groups by examining sensitive attributes such as gender and race. The study evaluates both the RoBERTa and MentalBERT transformer models using …

Blink-Related Brainwaves As Digital Biomarkers For Cognition Assessment During Complex Tasks, Lexine Carmlixa Sibert-Jolissaint

Theses and Dissertations

Blink-related oscillations (BROs) are neurophysiological responses observed in electroencephalography (EEG) following spontaneous blinking, reflecting the brain processing of new visual information. Prior research has demonstrated BRO responses across various cognitive states, such as resting, cognitive loading, and sensory stimulation, highlighting their potential as a non-invasive biomarker of brain function. We conducted the first investigation of BRO responses during a verbal fluency (VF) task, which is a complex, dynamic task state combining memory, visual perception, executive function, and language processing. Using publicly available EEG data from 22 healthy adults, we measured BRO responses over the left anterior frontal region corresponding to …

How Do Parents Influence Female Students' Engineering Trajectory?, Niloufar Bayati, Cameron Denson

Journal of Research in Technical Careers

Using the Parental Socialization Framework, this research provides a detailed analysis of how early STEM exposure, parental confidence in abilities, and gender-neutral upbringing contribute to the development of STEM identities among women. Employing a hermeneutic phenomenological approach, six undergraduate women engineering majors were interviewed in-depth about their parents' influence on their STEM pathways. The findings reveal that parents' high academic expectations, confidence in their daughters' abilities, verbal and non-verbal encouragement, and early STEM opportunities are pivotal in steering female participants toward engineering. The study also underscores the importance of creating a gender-neutral environment that allows girls to explore and develop …

Sensor Data Fusion For Air Quality Monitoring, Mirna Hesham

Theses and Dissertations

Since traditional air quality monitoring methods often rely on geographically sparse and costly air quality monitoring stations, image-based air quality method- ologies are recently offering a compelling alternative that utilizes images from sources like satellites, traffic cameras, and even smartphones to monitor pollution levels by using estimation models, image-processing techniques, and deep-learning models. In this thesis, we first conduct a systematic review, in which we categorize and discuss the existing literature work. Moreover, we introduce a novel, multi- modal dataset designed to address the limitations of existing datasets, which are restricted in size, geographical coverage, and fixed-scene imagery, impeding the …

An Msbe–Driven Advanced Air Mobility Post–Disaster Response System, Olabode A. Olanipekun

Graduate Theses and Dissertations (2019 - present)

In this work, an overarching conceptual design model towards the realization of a proposed Advanced Air Mobility Post–Disaster Response System (AAMPDR system) was explored through the focal lenses of systems thinking (ST), socio–technical systems (STS) and model–based systems engineering (MBSE) paradigms. Initially aimed at providing intervention for casualties and aerial support to emergency rescue workers on the ground in the event of a hurricane disaster around the Gulf shore of the Mobile bay area, Mobile city, AL., the scope of this research subsequently expanded to include a global outlook. Thereafter, culminating in the development of a generalized AAMPDR system model …

Designing Hmi And Scada Laboratory Work For Engineering Students, Julianne Barteck

Undergraduate Honors Theses

Human-machine interfaces are, essentially, the user interfaces used to monitor industrial facility machines and systems, which makes them a common industry tool in engineering. At East Tennessee State University, while human-machine interfaces are briefly covered in lecture and graduate students have set up some basic hands-on work, there exist no formal lab work for students on the topic. This thesis explores the literature surrounding the design of labs for a STEM or engineering-specific university class, and applies the recommendations and methods within that literature to design two laboratory guides on human-machine interfaces. These labs are intended to be implemented in …

Personalized Model Of Cardiac Fibroblast Signaling Using Patient-Specific Data, Elizabeth A. Schuler

Chemical Engineering Undergraduate Honors Theses

Heart disease is the leading cause of death worldwide for both men and women, and cardiac fibroblasts are critical to heart form and function. Essential roles of cardiac fibroblasts include cell-cell communication, cell-cell signaling, and synthesizing and degrading the extracellular matrix (ECM), which controls structural support and tissue repair of the heart. Abnormal fibroblast signaling can lead to negative impacts, including fibrosis, impaired heart function, and inflammation. A computational model of cardiac fibroblast signaling on Netflux and MATLAB software was adapted and utilized to determine the effect of patient-specific levels of cytokines, hormones, growth factors, peptides, and membrane tension on …

The Augmentation Of A Solar Panel Lab For The Chemical Engineering Curriculum To Introduce Sustainability Principles, Lane A. Wilkins

Chemical Engineering Undergraduate Honors Theses

Photovoltaic solar cells are utilized in solar panels to convert sunlight into usable electricity. Since the energy derived from solar panels produces far less greenhouse gas than typical fuels such as coal and natural gas do, it is considered a clean source of energy and is vital to sustainability efforts. Sustainability is often defined by three pillars: environmental, social, and economical. Solar energy incorporates each of these pillars into its process, allowing it to be an effective tool to teach sustainability to students. A previously written lab that employs solar panels focused on the efficiency of converting light into electricity. …

Evaluating Fly-Ash As A Sustainable Solution For Contaminant Removal From Wastewater, Calyn Wisdom

Chemical Engineering Undergraduate Honors Theses

Access to clean and safe water is an escalating global concern due to the persistent presence of toxic contaminants in aquatic environments. Among these, synthetic dyes and per- and polyfluoroalkyl substances (PFAS) represent two distinct yet significant classes of pollutants, both posing serious environmental and public health risks. Dyes in water contribute to intense coloration, elevated chemical and biological oxygen demand (COD and BOD), reduced light penetration, and disruption of aquatic ecosystems, with potential health risks to humans upon exposure. PFAS, often termed "forever chemicals," are synthetic organofluorine compounds associated with a range of adverse health effects, including endocrine disruption, …

Engaging Future Engineers: Utilizing Ai-Generated Video To Promote The Chemical Engineering Profession, Madeline G. Mondebello

Chemical Engineering Undergraduate Honors Theses

The expected incline of the chemical engineering profession faces a growing need to attract the next generation of prospective students. This research explores the use of artificial intelligence (AI) software to create an innovative form of media fit for secondary school and early college outreach. The pre- and post-video questionnaires were taken by a voluntary population comprised of high school students, college students, and parents. Overall, the feedback received was generally positive but indicated that the AI avatars and the lip-sync discrepancies may disrupt the video more than enhance it. In the future, a larger population will be surveyed to …