Testing The Utility Of The Three Good Things Intervention For Cannabis Misuse Among College Students, Paige Morris

LSU Doctoral Dissertations

College students experience high rates of cannabis use and use-related problems. Existing brief online interventions for cannabis misuse among college students do not significantly reduce cannabis use and use-related problems relative to control conditions. This may be due to limited consideration of the role of affect, given that cannabis is frequently used for managing affect, especially among individuals with greater depression and social anxiety. The present study sought to improve the efficacy of brief online interventions for cannabis misuse among college students by testing the efficacy of the Three Good Things (3GT; Seligman et al., 2005) intervention, a daily exercise …

Essays On Stablecoins’ Stability, Ravi Joshi

LSU Doctoral Dissertations

In this dissertation, I present three independent essays that contribute to the literature on stablecoins, the run-on stablecoin (Terra), and the information narrative surrounding the run. The first essay offers a comprehensive overview of the stablecoin ecosystem, the structural frictions that challenge peg maintenance, and the evolving regulatory landscape governing stablecoin issuance and use. In the second essay, I investigate the collapse of the TerraUSD (UST) algorithmic stablecoin and provide evidence that the collapse mimicked a run by demonstrating liquidity shortages on centralized exchanges. I show that Terra’s arbitrage mechanism broke on May 7, 2022, and that sustained price deviations …

Characterization Of The Role Of Rsd-6, A Tudor Domain Protein, In Antiviral Rnai Pathway In Caenorhabditis Elegans, Krishna Prasad Dahal

LSU Doctoral Dissertations

RNA interference (RNAi) triggered by virus produced dsRNA intermediate offers robust innate immunity against invading viruses in plants, insects and animals. Caenorhabditis elegans has been extensively used as a model organism to study host virus interaction. Recently, a forward genetic screen identified RNAi spreading deficient-6 (RSD-6), a Tudor domain protein, as a key component in antiviral RNAi pathway against Orsay virus in C. elegans but its contribution in the pathway remained unclear. Here, we generated a rsd-6 null allele using CRISPR-Cas9 genome editing, crossed it with other known RNAi mutants and analyzed Orsay virus replication in them and in combination …

Ai-Based Object Detection And Risk Identification For Enhanced Construction Site Safety, Mahdi Bonyaniakbarabadi

LSU Master's Theses

Recent advancements in computer vision for construction site safety have encountered significant hurdles, especially in the nuanced tasks of object detection and the identification of unsafe worker behaviors. These challenges are often exacerbated by complex and cluttered backgrounds, wide variations in object scale, and inconsistent image quality. While existing methodologies have utilized attention mechanisms to analyze spatial and temporal features, they frequently neglect the benefits of adaptive sampling and channel-wise feature adjustments, thereby failing to exploit potential spatiotemporal redundancies. This thesis introduces a two-pronged approach to address these limitations. First, we propose the Optimized-Position Network (OP-Net), a novel architecture for …

Adaptive Multi-Agent Reinforcement Learning For Electric Vehicle Charging Optimization Under Dynamic Traffic Conditions, Shaghayegh Rabbanian

LSU Master's Theses

Electric vehicle (EV) charging optimization is a critical challenge in sustainable transportation. This study focuses on three fundamental questions: (1) when is the best time to charge an EV, (2) where is the optimal charging location, and (3) how should charging be planned considering navigation and routing decisions. Our primary objective is to determine the optimal time and location for EV charging while accounting for key factors such as real-time traffic conditions, spatial distribution of charging stations, and EV-specific attributes such as state of charge (SOC), driving range, and efficiency. To develop a robust and adaptive EV charging recommendation system, …

The Operational Performance Of Buildings In A Humid Subtropical Climate: Insights From Empirical Data And Assessment Models, Oluwafemi Awolesi

LSU Master's Theses

This thesis evaluates the operational performance of residential and non-residential buildings in a humid subtropical climate, emphasizing Indoor Environmental Quality (IEQ) and energy performance through empirical data and assessment models. Motivated by the increasing need for integrated sustainability evaluations, this study combines a systematic review with multi-method field investigations to advance understanding in this domain. The systematic review critically analyzed 99 case study articles, identifying dominant IEQ assessment methodologies and highlighting methodological inconsistencies that hinder cross-study comparability. Emerging computational approaches, although promising, remain underutilized. The review advocates for standardized, climate-responsive, and feedback-oriented evaluation frameworks. Field investigations assessed IEQ and energy …

Patterns And Processes Behind Secretive Marshbird Movement, Abundance, And Distribution Across Southeastern Louisiana, Leah Moran

LSU Doctoral Dissertations

Restoration and conservation of coastal Louisiana hinges on understanding the patterns and processes underlying habitat heterogeneity on the landscape and therefore the species that inhabits this region, including secretive marshbirds. Elusive in nature, this guild of birds has evolved under dynamic hydroperiods, and myriad plant communities present within wetlands. Only recently, however, has research focused on the role of hydrologic dynamics and vegetative structure and distribution on abundance, movement and detection of marshbirds, specifically within southeastern Louisiana. This study aimed to quantify the ecological patterns and processes, particularly hydrologic processes and landscape structure, driving breeding secretive marshbird movement, abundance and …

Be Mindful: Examining A Brief Mindfulness Intervention On Educator Well-Being, Oceann S. Gittens

LSU Doctoral Dissertations

Teaching is currently rated as one of the topmost stressful occupations. Concerningly, chronic levels of stress can lead to poor mental and physical health, occupational burnout, and teacher attrition; all of which have a negative impact on student outcomes. Mindfulness-based interventions (MBIs) are commonly used to combat occupational stress by enhancing educator well-being. There is compelling evidence to support these types of interventions with teachers. However, the length of many MBIs may make them prohibitive for the average educator to participate in them. The literature suggests that a briefer format may be just as effective at reducing stress, but more …

Operator Information Quantities Of Semigroups Associated With Functions Of The Number Operator, Ryo Inayoshi, Kimiaki Saito

Journal of Stochastic Analysis

In this paper, we present recent developments on the operator information quantity acting on white noise functionals. In particular, we give a stochastic expression of the operator information quantity of a semigroup generated by some function of the number operator through a white noise delta distribution centered at an infinite dimensional Ornstein-Uhlenbeck process.

Efficient Small Tool Detection In Construction Via Lightweight Deep Neural Networks, Maryam Soleymani

LSU Master's Theses

Construction sites are dynamic and inherently hazardous environments, where small hand tools—although essential—pose serious safety risks due to their frequent use, portability, and tendency to be misplaced or dropped. This study introduces a novel and lightweight deep learning-based architecture, Lightweight Small Tool Detection (LSTD), specifically designed for fast detection of small tools in unstructured and challenging construction environments. Recognizing that small object detection remains a persistent limitation in existing computer vision models, particularly under poor lighting or cluttered backgrounds, LSTD integrates advanced modules for enhanced feature extraction, fusion, and classification. It achieves notable improvements in accuracy, recall, and computational efficiency …

Investigating The Relationships Among Suspended Sediment Concentration, And Marsh Edge Erosion In Barataria Bay, La, Lily Vowels

LSU Master's Theses

Barataria Bay, Louisiana, USA exhibits a unique microtidal, wind-driven hydrodynamic climate where extensive levee infrastructure throughout Louisiana has starved Barataria Bay and similar interdistributary bays of the historic levels of terrigenous sediment import. This has contributed to extreme coastal wetland loss in Louisiana. This project seeks to understand how hydrodynamic and meteorological conditions are linked to sediments’ fate after erosion from the marsh edge. Specifically, this project seeks to differentiate the roles of wave resuspension and marsh edge erosion (MEE) in sediment dynamics in Barataria Bay. An acoustic wave and current profiler (AWAC) was used to capture hydrodynamic conditions, and …

Environmental, Social, And Molecular Regulation Of Foraging Behavior In The Formosan Subterranean Termite, Arjun Khadka

LSU Doctoral Dissertations

Foraging is a critical activity in social insects, essential for resource acquisition and colony sustenance. In termites, this behavior is shaped by environmental, social, and genetic factors, yet the underlying regulatory mechanisms remain poorly understood. In this study, we examined how environmental food and moisture availability, and the age of termites affected foraging activities, along with the molecular regulation of foraging in the Formosan subterranean termite, Coptotermes formosanus, using a combination of behavioral assays, transcriptomics, and molecular biology approaches. First, we demonstrate that food and moisture deprivation (FMD) significantly affects foraging, with termites under deprivation conditions exhibiting increased foraging …

Shock Induced Droplet Aerobreakup For Newtonian And Non-Newtonian Fluids, James Leung

LSU Doctoral Dissertations

This research investigates shock-induced aerodynamic breakup (aerobreakup) of fluids with different stress-strain behaviors. The central hypothesis is that shear stress from highspeed gas flow manifests differently depending on a fluid’s strain response, influencing droplet breakup morphology, fragment size distribution, and drag-induced acceleration. To test this, experiments and simulations were performed on μm–mm sized droplets of Newtonian (water) and shear-thinning fluids (nanofluids or xanthan gum). Two experimental setups were used: an open-ended shock tube and a closed conventional shock tube. In the openended setup, a normal shock impacts a stationary droplet held by an acoustic levitator. Droplet breakup and gas dynamics …

From Devices To The Cloud: Digital Forensics In The Changing Social Media Landscape, Joseph Brown

LSU Master's Theses

This thesis presents a comprehensive digital forensic analysis of emerging and alternative social media platforms, including Truth Social, Threads, Bluesky, Nextdoor, and Neighbors. These platforms, which range from politically aligned alt-tech networks to hyperlocal neighborhood apps, present unique forensic challenges and security vulnerabilities. Across all case studies, established forensic techniques were applied using a hybrid methodology combining mobile device analysis, network traffic monitoring, and API interrogation. Findings include the discovery of plaintext credentials, session tokens, and other sensitive artifacts, particularly in platforms with weaker security postures such as Truth Social, Bluesky, Nextdoor, and Neighbors. Threads, by contrast, demonstrated greater resilience …

Rethinking Green Building Development Through Policy And Operational Metrics: Insights From Baton Rouge And Beyond, Oluwafemi Awolesi

LSU Doctoral Dissertations

This dissertation explores the challenges and opportunities associated with the development, adoption, and performance of green buildings in regions with relatively low certification uptake, drawing insights from Baton Rouge and its parish system as a case study. It addresses three primary research questions: (1) How can the adoption rate of green buildings be enhanced? (2) How do certified buildings perform compared to their non-certified counterparts? (3) What operational metrics can be applied to better evaluate building performance in the future?

Using a mixed-methods approach, the study examines stakeholder perceptions in East Baton Rouge, Louisiana, investigates energy performance, indoor environmental quality, …

Investing In Change: Understanding The Motivations And Impact Of Young Black Alumni Donors To Pwis In The South, Evante C. Topp

LSU Doctoral Dissertations

Researchers have historically overlooked Black philanthropy in higher education discourse, particularly in relation to predominantly White institutions (PWIs). This phenomenological study explored the lived experiences, motivations, and giving behaviors of young Black alumni who donate to PWIs in the American South. Using critical race theory (CRT) and the philanthropic mirroring model as guiding frameworks, in this study I examined the intersections of racial identity, institutional engagement, and alumni giving

Through in-depth interviews with twelve participants aged 30–40, five key themes emerged: (1) undergraduate experiences as a catalyst for philanthropy, (2) philanthropy as both a monetary investment and a demand for …

Empirical Analysis Of Incentivized Energy Assessment Recommendations And Iiot Cost-Effectiveness In U.S. Smes, Fatemeh Ghafari

LSU Master's Theses

The industrial sector in the United States accounted for 33% of total energy consumption in 2022. Small and medium-sized enterprises (SMEs), which comprise 99.9% of U.S. businesses present a critical opportunity for energy efficiency improvements. Although energy audits provide actionable Assessment Recommendations (ARs) to reduce consumption, high implementation costs remain a key barrier to adoption.

While prior studies have explored rebate programs, most are limited to residential and commercial sectors or focus narrowly on specific technologies or geographic areas for the industrial sector. The objective of this study is to empirically investigate the “Incentivized Assessment Recommendation” (IAR) trends and to …

Novel Tools And Datamining Techniques To Visualize And Interpret Historical Sugarcane Datasets, Zachary A. Taylor

LSU Master's Theses

Heritable genetic variation is an essential raw ingredient of variety development programs. This variation is acted upon via selection by identifying elite progeny that can be utilized agronomically or exploited as parents. Sugarcane breeders are tasked with creating optimal genetic variation through crossing. Prior knowledge of pedigree and parental performance allows breeders to discern which crosses to prioritize, since the time to make crossing decisions and the space to evaluate tens and thousands of progenies are both limited resources in sugarcane variety development programs. In this project, we have updated and validated the U.S. sugarcane pedigree …

Super-Resolution Stimulated X-Ray Raman Spectroscopy, Kai Li, Christian Ott, Marcus Agåker, Phay J. Ho, Gilles Doumy, Alexander Magunia, Marc Rebholz, Marc Simon, Tommaso Mazza, Alberto De Fanis, Thomas M. Baumann, Jacobo Montano, Nils Rennhack, Sergey Usenko, Yevheniy Ovcharenko, Kalyani Chordiya, Lan Cheng, Jan Erik Rubensson, Michael Meyer, Thomas Pfeifer, Mette B. Gaarde, Linda Young

Faculty Publications

Propagation of intense X-ray pulses through dense media has led to the observation of phenomena such as atomic X-ray lasing^1,2, self-induced transparency³ and stimulated X-ray Raman scattering (SXRS)⁴. SXRS has been long predicted as a means to launch and probe valence-electron wavepackets and as a building block for nonlinear X-ray spectroscopies^5,6. However, experimental observations of SXRS to date^4,7,8 have not provided spectroscopic information, and theoretical modelling has largely implemented hard-to-realize phase-coherent attosecond pulses. Here we demonstrate SXRS with spectroscopic precision, that is, detection of valence-excited states in neon with a near Fourier-limited …

Protecting Cultural Heritage In A Changing Climate: A Risk Assessment Model For Galleries, Libraries, Archives, And Museums In Florida, United States, Emily E. Fisher

LSU Master's Theses

The aim of this research is to develop a climate threat risk assessment scale for galleries, libraries, archives, and museums within the State of Florida. Current research neglects the localized impact of tropical cyclones, inland flash flooding, and exposure to SLR on cultural institutions. Tropical cyclone events bring in flooding, intense wind speeds, and power outages which affect these institutions. Tropical cyclone data from the National Hurricane Center are used to represent historical wind occurrence. Finally, flash flood warning data are used to represent the flooding likelihood in each county. Each threat is assessed individually across Florida counties. The range …

Maternal Hyperleptinemia Alters Placental Transcriptome And Progesterone Regulation Without Affecting Early Equine Fetal Growth, Lucinda L. Thorburn

LSU Master's Theses

While consequences of equine obesity are well defined, the extent to which persistent hyperleptinemia and accompanying leptin (Lep) resistance affect the fetal-maternal environment warrants further exploration. This study compared endocrine, fetal, placental, and uterine parameters during early pregnancy (through day 70) in mares with elevated leptin versus normal leptin (NL) concentrations. Fourteen mares were classified as either NL (n = 6; Lep 0.9 ± 0.3 ng/mL), moderate leptin (ML; n = 4; Lep 3.0 ± 0.3 ng/mL), or high leptin (HL; n = 4; Lep 5.8 ± 0.7 ng/mL) based on annual plasma leptin. Mares were artificially inseminated and induced …

Evaluation Of Diy Pest Management Strategies For The German Cockroach (Blattella Germanica) In The Presence Of Vitamin K Precursors And Synthetic Amorphous Silica, Mohamed S. Shaik

LSU Master's Theses

The German cockroach, Blattella germanica (Linnaeus) is a globally distributed indoor dwelling pest of medical concern. Insecticides are the preferred method of cockroach management due to their low cost, quick action, and availability. However, after continuous use, the development of insecticide resistance has emerged as a challenge for the pest management industry to effectively eliminate German cockroaches. Integrated pest management (IPM) is a sustainable framework which includes the use of glue board traps, vacuuming, in combination with different insecticide formulations such as sprays, gel or dust baits, and insecticide rotation has been successful for the management of German cockroaches. This …

Dose Characterization Of Galactic Cosmic Rays In The Human Brain: A Phits-Based Study With A Segmented Anatomical Phantom, Shanice N. Manning

LSU Master's Theses

Astronauts aboard the International Space Station (ISS) are chronically exposed to a complex space radiation environment composed of galactic cosmic rays (GCR), solar particles, and Earth's trapped radiation. These high-energy particles interact with spacecraft shielding, producing secondary particles that can penetrate inside and deposit energy in sensitive tissues. Although animal studies have been useful in assessing space radiation risks, anatomical and physiological differences limit their applicability to human anatomy especially neuroanatomy. To address this gap, we developed a computational framework to model radiation dose distribution within the human brain using Monte Carlo simulations in Particle and Heavy Ion Transport code …

Retrospective Study And Predictive Modeling Of The Impact Of Social Determinants Of Health On Sepsis Outcomes, Mwembezi Aaron Nyelele

LSU Doctoral Dissertations

Sepsis, a life-threatening organ failure caused by the body’s abnormal and harmful response to an infection, remains a major global and national health challenge. In the United States, it contributes significantly to hospital mortality and imposes a substantial economic burden, with billions spent annually on treatment. Early diagnosis is difficult due to the nonspecific nature of sepsis symptoms, often leading to delays in care and poorer outcomes. As the incidence and severity of sepsis rise, identifying factors that influence outcomes is increasingly critical. Emerging research has shown that Social Determinants of Health (SDOH), including economic stability, education, neighborhood and built …

Quasistatic Peridynamics, Existence Of Unique Solution In The Presence Of Damage, Nuwanthi N. Samarawickrama

LSU Doctoral Dissertations

A mathematical model for damage propagation based on nonlocal potentials is developed within the framework of peridynamics. This model is applied to simulate damage evolution in cyclically loaded structures. By neglecting inertial effects, a well-posed quasistatic formulation for cyclic loading is obtained.\\ The resulting equation is expressed as a nonlocal and nonlinear integral operator that couples damage evolution to the deformation field.\\ This coupling occurs through the product of a damage factor and the derivative of a force potential. The damage factor ranges between zero and one, where one represents undamaged material and zero indicates complete damage.\\ It serves to …

Digital Forensics And Ai: Artifact Analysis And Using Ai In The Forensics Domain, Clinton Joel Walker

LSU Doctoral Dissertations

Digital Forensics (DF) is a field of forensic science focusing on the acquisition, authentication, and analysis of digital evidence while maintaining integrity of that data. DF analysts use forensic tools to parse large volumes of data for investigations and depend on them for identification of pertinent digital evidence in vast amounts of data. Keeping up with innovations and ever-expanding data volumes is a constant challenge for these investigators. The prevalence of Artificial Intelligence (AI) in everyday computing is rapidly expanding, with the use of Machine Learning (ML) and Large Language Models (LLM)s becoming increasingly commonplace. Innovations in technology bring new …

Role And Electrophysiological Properties Of Sexually Dimorphic Oxytocin Receptor Expressing Neurons In The Anteroventral Periventricular Nucleus Of The Female Mice, Armita Abdollahi Govar

LSU Doctoral Dissertations

Oxytocin is a neurohypophyseal hormone that plays a crucial role in regulating mother-infant bonding and maternal behavior. Oxytocin modulates sex-specific parental behaviors by binding to the oxytocin receptor (OXTR)-expressing neurons in the brain. This study investigates the sexually dimorphic OXTR neurons in the anteroventral periventricular nucleus (AVPV) to understand how oxytocin modulates behavior in females. Specifically, we explored the behavioral roles, neural projections, and intrinsic electrophysiological characteristics of these neurons in the female mice. Using immunohistochemistry revealed that the number of OXTR-expressing neurons was enhanced in postpartum females compared with virgin females, suggesting that these neurons are involved in female-specific …

Broken Rituals: Contending Gods And Sacred Cows In Religious Racial Reconciliation And Race Relations, Ewart E. Forde

LSU Doctoral Dissertations

Race remains one of the most important determinants of a host of sociological outcomes despite claims that social characteristics such as class matter more. For example, racial inequalities are apparent in educational outcomes and regarding to asset-ownership. Perhaps the most troubling evidence of persistent racial inequities is the killing of Black people by law enforcement officials or civilians while they are engaged in such mundane activities, such as jogging in a neighborhood or selling compact discs (CDs). In the aftermath of these unnatural killings, there are often calls for racial reconciliation, faith based racial reconciliation. In times where it appears …

Towards Leveraging Social Media Data For Fostering Collaborations Among Non-Profits, Monazil Chowdhury

LSU Doctoral Dissertations

Nonprofit organizations serve a crucial role in tackling a wide range of significant social, environmental, and economic issues. But it is often hard to get a clear picture of their work because their information is spread out and it is difficult to see how they are collaborating. To address this issue we developed a web-based tool to collect scattered data—from a variety of sources, such as the IRS, social media, and the Census, into one easy-to-use resource. The tool begins by taking IRS records and geocoding each nonprofit’s physical address With its coordinates. It then retrieves census tract information from …

A Performance Guide To Christos Hatzis’ Songs On Poems By Sappho, Maria E. Thomas

LSU Doctoral Dissertations

Abstract

Christos Hatzis’ Three Songs of Poems by Sappho (1999) represents a compelling yet understudied contribution to contemporary art song repertoire. This study examines Hatzis’ settings of Sappho’s Fragments 1, 16, and 44, offering both scholarly analysis and practical performance guidance to make the cycle more accessible to singers and scholars. Through musical and textual analysis, this project reveals how Hatzis bridges ancient Greek lyric poetry with modern compositional techniques. The study demonstrates his innovative approach to word painting, rhythmic flexibility, and extended tonality, showing how these elements honor Sappho’s intimate first-person voice while creating a distinctive 20th-century art song …