Auburn Theses and Dissertations: Recent submissions
Now showing items 1-20 of 9911
Caught in the Feed: Linking Social Media Body Consciousness, Interoceptive Sensibility, and Disordered Eating
(2025-12-12)
The rise of social media has been linked to adverse mental health outcomes, including disordered eating symptoms. This study investigates the role of appearance-related social media consciousness (ASMC) in contributing to ...
An Investigation into Neural Radiance Fields for Spray Reconstructions
(2025-12-12)
Two phase impinging injector sprays were reconstructed using the novel view synthesis method, Neural Radiance Fields. This reconstruction technique is applied to injector sprays of two geometries, pentad and triplet, at ...
Adaptive Hybrid Bayesian Optimization and Dimension Based Blocking for Hyperparameter Tuning
(2025-12-12)
The exponential growth in machine learning model complexity has rendered traditional hyper-
parameter optimization methods, such as grid and random search, computationally intractable
due to the curse of dimensionality. ...
Developing a Framework to Estimate RAP Binder Performance Grade and Assess Stockpile Variability Without Extraction
(2025-12-12)
The current method for qualifying Reclaimed Asphalt Pavement (RAP) involves the extraction and recovery of its binder using chemical solvents such as Trichloroethylene (TCE). However, TCE poses significant environmental ...
Viral Evolution of Newcastle Disease Virus from Waterfowl in Chicken Embryos with and without Maternal Antibodies
(2025-12-12)
Low pathogenic Newcastle disease viruses (LoNDVs) circulate widely among wild aquatic birds and occasionally spill over into domestic poultry. To investigate how these viruses adapt to chickens, LoNDV isolates from wild ...
Unintended innovation consequences of skirting the environmental regulation: Evidence from the food processing industry in China
(2025-12-12)
This paper uses China’s 2016 Pollutant Discharge Permits System (PDPS) to evaluate its impact on innovation in the food processing industry. We begin by exploring the entry and exit decisions of food processing firms. The ...
Classification and Uncertainty Quantification of Multivariate Functional D
(2025-12-12)
Functional data—data observed continuously over time, space, or other domains—arise in numerous modern applications such as biomedical signal analysis, handwriting and speech recognition, and remote sensing. With advances ...
Studying Influenza Immune Imprinting in the Porcine Model
(2025-12-12)
Influenza A viruses (IAVs) are seasonal respiratory pathogens that cause significant morbidity and mortality each year, as well as incur large economic costs. Seasonal vaccination is effective in the prevention of severe ...
Bayesian Inference for Longitudinal Data with Envelope Models
(2025-12-12)
Longitudinal studies play a crucial role in biomedical research, such as monitoring chronic
diseases like osteoarthritis. Repeated measures over time enable the tracking of disease pro-
gression and treatment effects. ...
Astrocytic Regulation of Glutamate Homeostasis in the Central Nervous System: From Mechanistic Insights to Therapeutic Interventions
(2025-12-12)
Extracellular glutamate homeostasis is tightly regulated to maintain synaptic stability, and its disruption underlies diverse pathologies of the central nervous system. Here, we investigated two distinct conditions, ...
A Sequential Convex Programming Chance-Constrained Covariance-Steering Approach to Robust Low-Thrust Trajectory Optimization
(2025-12-12)
This dissertation reviews and presents a computational framework for robust spacecraft trajectory optimization under uncertainty, advancing beyond deterministic methods to ensure mission reliability in low-thrust interplanetary ...
Divisive or Real Life? Undergraduate Black Students’ Perceptions of Anti-DEI Legislation at 1862 HWPI Land-Grants in the Deep South
(2025-12-12)
This critical narrative study examined undergraduate Black students’ perceptions of anti-DEI legislation at 1862 historically and predominantly white land-grant institutions (HPWI) in the Deep South. The purpose of this ...
Hydrological and Water Quality Dynamics under Land Use Change in Intensively Managed Agricultural Watersheds: Integrated Approaches for Sustainable Water and Land Management
(2025-12-12)
Land use and land cover changes in agriculturally intensive regions are increasingly recognized as critical drivers of hydrological and water quality dynamics, driven by rising global food demand. In South America, the ...
Enhanced Final State Resolution for Atomic Data from R-matrix with Pseudostates Calculations and Collisional Radiative Modeling for He, Si+, and W2+ with Applications to Plasma Diagnostics
(2025-12-12)
Fusion reactors based on magnetic confinement are a promising potential source of clean energy. The understanding of these plasma environments is greatly assisted by the use of accurate atomic data in plasma modeling and ...
Recycling polyolefin-based multilayer plastic packaging: polyolefin blend reclamation with improved performance through microcrystalline cellulose compatibilization
(2025-12-11)
Polyolefins are versatile and widely used synthetic polymers but also significantly contribute to the accumulation of plastic waste. Two of the most used polyolefins, polypropylene (PP) and polyethylene (PE) have similar ...
Detection of GPS Spoofing Using Post-Correlation Frequency Component Estimation
(2025-12-11)
This dissertation presents a new GPS spoofing detection method, Correlator Residual Frequency (CRF) detection, which is based on frequency-domain maximum likelihood estimation of differences between the receiver's correlator ...
Adaptation and Plasticity in Damselfishes (genus Abudefduf) separated by the Central American Isthmus
(2025-12-11)
Marine ecosystems are characterized by having substantial differences in abiotic conditions at small spatial scales. The organisms that are exposed to these variable environments must have the capacity to respond to the ...
Federated Reinforcement Learning across Heterogeneous Environments
(2025-12-11)
Federated Reinforcement Learning (FRL) provides a powerful paradigm for enabling multiple agents to collaboratively learn decision-making policies while preserving data privacy.
Despite its growing potential, FRL faces ...
Intelligent Systems for Urban and Natural Environments: Advanced Deep Learning for Traffic Signal Control and Bioacoustics Analysis
(2025-12-11)
This dissertation explores the use of advanced deep learning frameworks to address complex problems in two main areas: intelligent transportation systems and bioacoustics. By leveraging modern architectures such as deep ...
Combining Deep Learning with Physics-based Modeling for Improved Remote Sensing-based Evapotranspiration and Land Surface Temperature Estimates
(2025-12-11)
Evapotranspiration (ET) and land surface temperature (LST) are critical variables for understanding land-atmosphere interactions and are widely used for climate monitoring, agriculture, disaster response, and urban planning. ...