Digital Commons Network^™

Bridging Morphology And Materiality: Ai-Assisted Sustainable Design Of Song Dynasty Embroidery Using Lora And Stable Diffusion, Yu Huang, Tianyuan Deng, Xiaofen Ji

LSU Fashion and AI x Policy Symposium

No abstract provided.

Novel Abietane Derivatives: Evaluation Of Therapeutic Potential Against Triple Negative Breast Cancer, Sydney Lawson, Fatima Rivas

Distinguished Undergraduate Researcher Program

Of the estimated 2.3 million women globally who will be diagnosed with breast cancer this year, nearly 25% will be diagnosed with the triple negative breast cancer (TNBC) subtype. Because TNBC lacks specific targets present in other breast cancers, conventional selective treatments are ineffective making TNBC more difficult to treat. TNBC is the most lethal subtype of breast cancer in women and causes approximately 150,000 deaths annually, highlighting the critical need for effective therapeutics. Therefore, our aim is to identify new potential therapeutic agents for TNBC.

The abietane natural product family is a group of tricyclic diterpenoids which have been …

Relearning Language: A Meta-Analysis Of Syntactic Priming In Aphasia, Ally Miller, Willem Van Boxtel

Distinguished Undergraduate Researcher Program

Background: Despite the importance of grammatical skills for participation
in daily life, treatments for sentence–level abilities in aphasia
are comparatively scarce. The psycholinguistic paradigm of syntactic
priming has recently been advanced as a potential assessment and
treatment for grammatical skills, and existing evidence on priming in
aphasia is highly promising. Nevertheless, a comprehensive analysis of
the strength of priming effects in aphasia, as well as treatment components
which might amplify these effects, has not been reported.
This meta–analysis synthesizes existing findings on syntactic priming
in aphasia, aiming to provide a comprehensive picture of priming
effects and their potential application for …

Quantifying Uncertainty In Landscape Evolution And Provenance Analysis: Insights From Statistical And Numerical Modelling, Vivian Carmello Grom

LSU Doctoral Dissertations

Landscape evolution models (LEMs) and detrital zircon provenance are widely used to investigate Earth surface processes, yet both face challenges related to quantifying model behavior and interpreting sedimentary signals under realistic, heterogeneous conditions. This thesis addresses these challenges through analysis and case studies that develop and apply new approaches for analyzing landscape dynamics and assessing uncertainties in sediment provenance.

Chapter 1 introduces a quantitative framework for evaluating LEM outputs using Shannon Entropy, Moran’s I, and Geary’s C. Applied to simulations with steady uplift, periodic uplift, spatially variable uplift, and a timeseries of DEMs, these metrics capture spatial organization and information …

Satellite-Mediated Quantum Clock Synchronization: Towards Precise Timing At A Global Scale, Sage B. Ducoing

LSU Doctoral Dissertations

Accurate timekeeping is essential for scientific and technological advancements, particularly in areas of communication, networking, navigation, and high precision measurements. While many methods of time resolution are already established using classical resources, they fail to combine high precision outcomes with large-scale implementations. Additionally, numerous quantum networking architectures using satellite-assisted methods have demonstrated quantum communication on scales exceeding ground-based methods. For these reasons, we propose the use of a time synchronization method by which pairs of highly time-correlated photons are exchanged between clocks on satellites and clocks on Earth, al- lowing users to reconstruct the time offsets between their clocks. This …

Cache-Conscious Sparse Matrix Dense Matrix Multiplication On Gpus, Haoqiang Guo

LSU Doctoral Dissertations

Over the past decade, high-performance deep learning has evolved into a critical research domain, driven by the demand for efficient models and high inference throughput. Deep learning architectures have shifted from stacked convolutional layers to transformer-based models, while pruning techniques and graph-structured data have established sparse matrix–dense matrix multiplication (SpMM) as a fundamental kernel—particularly in graph neural networks (GNNs). Modern GPUs, with their massive parallelism and high-bandwidth memory, offer immense potential for accelerating these workloads. While SpMM implementations using the compressed sparse row (CSR) format remain common to avoid conversion overhead, preprocessing-based methods have recently demonstrated superior potential. In GNN …

Supporting Best Practices In Family Engagement: Our Week Of The Young Child Experience, Michelle Fazio Brunson, Faith S. Birdwell, April Giddens

Spark! Innovations in Early Childhood Education: A Research-to-Practice Journal for Educators

Family engagement is a collaborative process where early childhood professionals, families, and children build positive, goal-oriented relationships. Incorporating family engagement into preschool programs is not merely beneficial but essential for promoting holistic child development in programs where children feel safe, cared for, and secure. In this article, we share the benefits of effective family engagement activities for families with young children and describe how we celebrated the National Association for the Education of Young Children's 2025 Week of the Young Child.

Using Food As A Fun And Effective Teaching Tool In Preschool, Kelly Furr, Melani Duffrin, Eugene A. Geist

Spark! Innovations in Early Childhood Education: A Research-to-Practice Journal for Educators

Food is one of the most engaging, hands-on materials for preschool classrooms. This article highlights research from the Food FAN Academy (Furr, 2023), which demonstrates how food can be used as a teaching tool across early childhood learning environments. Practical strategies are provided for preschool teachers, including detailed lesson plans that connect to early math, science, literacy, and social development. The article emphasizes the importance of using everyday materials, cultural inclusivity, and active learning methods to promote curiosity, health awareness, and foundational skills in young learners.

Equity-Aware Natural Hazards Resilience Assessment And Improvement Of Road Networks, Naqib Mashrur

LSU Doctoral Dissertations

As climate change intensifies the frequency and severity of hurricanes, the resulting flood events pose escalating threats to transportation infrastructure and community well-being. This dissertation addresses the intersection of flood resilience, network connectivity, and social equity by integrating principles from network analysis, equity planning, and disaster resilience. The research begins by examining the social dimensions of accessibility loss during hurricane-induced flooding. Spatial and demographic analysis reveals that Native American and Hispanic populations in the case study region experience the most significant reductions in access to essential service facilities, highlighting inequities in systems.

Investigating a region southern Louisiana road network demonstrates …

Nonlinear Proudman Resonance Under Moving Atmospheric System, Chunyan Li

Faculty Publications

A nonlinear theoretical model with an exact solution is developed to critically examine the Proudman resonance problem. In this framework, a moving atmospheric pressure system forces a wave governed by the square of the wave Froude number (n=F²). Proudman’s classical linear solution, although widely cited, diverges to infinity at resonance (n=1), limiting its physical realism. This work extends the linear regime into the nonlinear by solving the governing equations exactly. The resulting solution remains finite at resonance. The first-order approximation recovers Proudman’s solution, while the second-order approximation already yields a finite resonant response—providing a more accurate and physically …

Sunburned Plankton: Ultraviolet Radiation Inhibition Of Phytoplankton Photosynthesis In The Community Earth System Model Version 2, Joshua Coupe, Nicole S. Lovenduski, Luise S. Gleason, Michael N. Levy, Kristen Krumhardt, Keith Lindsay, Charles Bardeen, Clay Tabor, Cheryl Harrison, Kenneth G. Macleod, Siddhartha Mitra, Julio Sepúlveda

Faculty Publications

Ultraviolet (UV) radiation can damage DNA and kill cells. We use laboratory and observational studies of the harmful effect of UV radiation on marine photosynthesizers to inform the implementation of a UV radiation damage function for phytoplankton photosynthesis in a modified version of the Community Earth System Model version 2 (CESM2-UVphyto). CESM2-UVphyto is capable of simulating UV inhibition of photosynthesis among modeled phytoplankton and ocean column penetration of UV-A, UV-B, and UV-C radiation. We conduct a series of simulations with CESM2-UVphyto using the Marine Biogeochemistry Library (MARBL) ecosystem model to understand the sensitivity of phytoplankton productivity to UV radiation. Results …

Computational Data Analysis, Kathryn S. Biles

LSU Master's Theses

Data science has emerged as a cornerstone of innovation, shaping an ever-expanding range

of professional careers. As technology advances and the volume of data expands expo-

nentially, the ability to extract meaningful insights from data has become indispensable

across industries. Far from representing a single career path, data science enables profes-

sionals in nearly every domain to make informed decisions, optimize systems, and drive

innovation. Yet, many high school students and incoming college freshmen have limited

exposure to data science fundamentals or the career opportunities they unlock. This is

the gap that Computational Data Analysis, a high school-level curriculum I …

Predictions Of The Nancy Grace Roman Space Telescope Galactic Exoplanet Survey. Iii. Detectability Of Giant Exomoons Of Wide-Separation Giant Planets, Matthew Lastovka, B. Scott Gaudi, Samson A. Johnson, Matthew T. Penny, Eamonn Kerins, Nicholas J. Rattenbury

Faculty Publications

The Nancy Grace Roman Space Telescope (Roman) will conduct a Galactic Exoplanet Survey to discover bound and free-floating exoplanets using gravitational microlensing. Roman should be sensitive to lenses with mass down to ∼0.02 M⊕, or roughly the mass of Ganymede. Thus, the detection of moons with masses similar to the giant moons in our solar system is possible with Roman. Measuring the demographics of exomoons will provide constraints on both moon and planet formation. We conduct simulations of Roman microlensing events to determine the effects of exomoons on microlensing light curves, and whether these effects are detectable with Roman. We …

Effects Of Code Scaffolding In Increasing Student Confidence In Programming Cryptography, John Denny

LSU Master's Theses

Cryptography is essential for secure communications, and new threats require more students willing to program and interact with cryptographic systems. Previous research is focused on tools for teaching these systems at a high level, teaching through attacks against these systems, and proper use of these systems in software development. In this paper, we seek to design a workshop to use scaffolded Python code to teach how these cryp- tographic systems are designed. We explore the use of code scaffolding for students to program an example implementation of the McEliece crypto- graphic system to build confidence in working with these systems. …

Uav Remote Sensing For Assessment Of Conservative Management Practices In Maize-Soybean Cropping System, Aakriti Poudel

LSU Master's Theses

Sustainable agriculture practices promote cover cropping, which enhances nutrient management and impacts subsequent crop productivity in field crop rotations. Precision agriculture technology, particularly Unmanned Aerial Vehicle (UAV) remote sensing, enables a detailed evaluation of crop management. The studies were conducted in a maize-soybean rotation system with winter cover cropping and fallow management. The maize experiment investigated the effect of nitrogen application rates and cover cropping, using UAV-derived Normalized Difference Red-Edge (NDRE) to monitor crop performance. NDRE effectively captured the N response and the effect of cover cropping across growth stages, particularly during mid-season (55-81 DAP), where it showed a strong …

Practical Real-Time Permanent Magnet Energy Spectrometer Using A Diode Array For Therapeutic Electron Beam Tuning And Quality Assurance, Mason W. Heath

LSU Doctoral Dissertations

Purpose: Develop a practical, real-time permanent magnet electron energy spectrometer and evaluate it for beam tuning and quality assurance (QA) of therapeutic electron beams.

Methods: Aim 1: A 0.55 T permanent magnet was coupled to Sun Nuclear SRS MapCHECK® PC boards, providing two interlaced diode arrays. Detector response, R_meas(z_diode) versus diode position z_diode, was extracted from raw diode array readings, correcting for diode sensitivity and other factors. Using Monte Carlo (MC) computed, monoenergetic detector response functions, a curve-fitting algorithm extracted the energy spectrum, from R_meas(z_diode). The energy spectra for 7-20 …

Determining The 17f(Α,P)20ne Reaction Rate For Application In Type I X-Ray Bursts, William Braverman

LSU Doctoral Dissertations

The ¹⁷F(α, p)²⁰Ne reaction has been identified as an alternate pathway for breakout from the hot-CNO cycle that can be important in some X-ray burst scenarios. The ¹⁷F(α, p)²⁰Ne reaction rate was previously determined through a parameterized exponential S-factor with a large enhancement from thermally-excited states based on statistical models with large uncertainties. We have measured the time-inverse ²⁰Ne(p,α)¹⁷F cross section at center-of-mass energies ranging from 5.50 to 7.10 MeV using an activation method with a proton beam on a neon gas cell. Coincident detections of 511-keV γ-rays, resulting from electron-positron …

Exploring Runtime Evolution In Android: A Cross-Version Analysis And Its Implications For Memory Forensics., Babangida Bappah

LSU Master's Theses

Userland memory forensics has become a critical component of smartphone investigations and incident response, enabling the recovery of volatile evidence such as deleted messages from end-to-end encrypted apps and cryptocurrency transactions. However, these forensics tools, particularly on Android, face significant challenges in adapting to different versions and maintaining reliability over time due to the constant evolution of low-level structures critical for evidence recovery and reconstruction. Structural changes, ranging from simple offset modifications to complete architectural redesigns, pose substantial maintenance and adaptability issues for forensic tools that rely on precise structure interpretation. Thus, this paper presents the first systematic study of …

Versatile Nitration Of Bodipy Dyes Using No₂Bf₄: Effects Of Nitro Substituents On Spectroscopic And Self-Assembly Properties, Caroline Sarange Gwaro

LSU Master's Theses

This study explores the regioselective nitration of BODIPY dyes at the 2, 3- and 2,6-positions using nitronium tetrafluoroborate (NO₂BF₄), offering a high-yielding and mild synthetic route. The introduction of nitro groups significantly alters the dyes’ photophysical and self-assembly properties. Mono-nitrated BODIPYs exhibit hypsochromic shifts in absorption and emission spectra, increased dipole moments, enhanced Stokes shifts, and reduced molar absorptivity. In contrast, di-nitrated analogs show bathochromic shifts and decreased dipole moments in both ground and excited states. Spectroscopic characterization was performed using UV-vis and fluorescence spectroscopy, supported by density functional theory (DFT) calculations. Self-assembly behavior was investigated in polar (acetonitrile) and …

Establishing A Framework Of Best Management Practices For Sustainable Water Quality: Integration Of Technology And Remote Sensing, Mason L. Marcantel

LSU Master's Theses

Water quality security is a complex management issue that is constantly challenged by factors of seasonal variability in climate change, urban population growth, and agricultural intensification. These factors warrant the need for innovative technological adaptations to management practices that integrate remote monitoring, predictive modeling, and sustainable resource utilization. This study establishes a framework for sustainable water quality practices through the integration of remote sensing technology for urban wastewater treatment and agricultural irrigation systems. This dual-site research study explores seasonal water quality dynamics and technological interventions to create a more proactive approach to water quality security.

In the first study, water …

Detection Of Sweet Potato Feathery Mottle Virus Infection Via Remote Hyperspectral Imaging, Clayton Blake

LSU Master's Theses

In sweetpotato, global production exceeds 90 million tons annually, yet yields are threatened by numerous pathogens, including the potyvirus sweet potato feathery mottle virus (SPFMV). Virus infections can reduce yields by 25–40%, but surveillance is hampered by asymptomatic infections and the labor-intensive nature of detection. Hyperspectral imaging (HSI), combined with machine learning (ML), offers a promising pathway to scalable, non-destructive detection; however, studies focused on virus infection in sweetpotato remain limited.

This study demonstrates the feasibility of ML-enabled HSI for SPFMV detection under greenhouse conditions via a curated spectral library of two commercial cultivars, 'Beauregard' and 'Orleans', and the biological …

Narratives Of Vietnamese Teachers: Exploring Existential Givens Of Freedom, Meaning, And Isolation, Huy D. Nguyen

LSU Doctoral Dissertations

Drawing on Yalom’s framework of existential givens, this study explores how Vietnamese teachers experience existential freedom, existential isolation, and life meaningfulness. The notion of experience serves as the conceptual and interpretive foundation through which participants articulate these existential dimensions. Three participants were selected, and data were collected from online journal entries, vignette responses, and semi-structured interviews. Methodologically, it adopts intuitive inquiry as both conceptual lens and analytic process, integrating multiple modes of knowing and embodied understanding to explore how teachers imagine, experience, and interpret their work. To deepen interpretation, narrative structuring was incorporated to reveal the emotional and relational textures …

Effects Of Hydrological Connectivity On Created Marsh Sustainability, Katie Swann

LSU Master's Theses

While efforts are being made to curb the high rate of coastal land loss in Louisiana, and even to restore ecosystem services and functions, it is generally accepted that restoration of these areas and functions is not a one-to-one value. It may take decadal time scales to reach efficient functional processing of nutrients and carbon storage rates, which may never reach true capacity comparable to similar naturally-organized systems. Although it is imperative to preserve these areas, restoration of ecosystem services and biogeochemical processes of coastal wetlands are preferable to future without action scenarios. Effectively directing the use of the limited …

User Privacy In The Digital Playground: An In-Depth Investigation Of Facebook Instant Games, Sideeq Bello

LSU Master's Theses

Amid growing concerns over data privacy in web and mobile applications, this study aims to assess the privacy mechanisms in instant games on Facebook, a platform with approximately 3.03 billion monthly active users and a substantial repository of personal data. Instant Games have become increasingly popular due to their ease of access and social integration features. Investigating these games can provide insights into privacy mechanisms and practices, thereby informing the development of more fair, compliant, and user privacy-centric gaming experiences. Thus, this study proposes an integrated analytical framework that leverages a combination of descriptive, memory, and network analysis techniques to …

Sustainable Robotic Construction: A Computational Particle Packing Approach For The Development Of Sustainable, Low-Cement 3d Printable Materials, Aranya Aumit Paul

LSU Master's Theses

Construction 3D Printing (C3DP) holds great potential for automated construction but faces key challenges, including the high Portland cement content of its printing materials. The high cement content raises material costs, causes shrinkage and thermal cracking, and increases its carbon footprint. This study introduces a novel hybrid computational pipeline that combines image based automated gradation analysis with 2D stochastic particle packing simulation, to design low-cement printable materials with minimal experimental testing. The image-based gradation system achieved a mean absolute error under 3.64% across six fine and coarse aggregate types. The particle packing simulation demonstrated an average error of less than …

Chplx: The Hpx Solution For Bridging Chapel And C++, Shreyas Swanand Atre

LSU Master's Theses

Historically, domain scientists faced steep learning curves due to low-level programming models and fragmented tooling. Between 2003 and 2008, Cray, now part of HPE, introduced the Chapel language as part of DARPA’s High Productivity Computing Systems (HPCS) program. Today, Chapel remains under active development and is used across research and production projects. In parallel, the STE||AR Group has advanced C++-based parallel programming through HPX, a standards-conforming runtime that provides lightweight tasking, futures, and distributed execution while abstracting much of the algorithmic “heavy lifting.” Yet for many domain scientists, C++ presents a steeper learning curve than Chapel. To close this complexity …

A Bdg Inequality For Stochastic Volterra Integrals, Alexandre Pannier

Journal of Stochastic Analysis

We establish Burkholder-Davis-Gundy-type inequalities for stochastic Volterra integrals with a completely monotone convolution kernel, which may exhibit singular behaviour at the origin. When the supremum is taken over a finite interval, the upper bound depends linearly on the Lγ-norm of the kernel, for any γ > 2. We demonstrate the utility of this inequality in quantifying the pathwise distance between two stochastic Volterra equations with distinct kernels, with a particular emphasis on the multifactor Markovian approximation. For kernels that decay sufficiently fast, we derive an alternative inequality valid over an infinite time interval, providing uniformin- time bounds for mean-reverting stochastic Volterra …

Modeling The Effects Of Temperature And Resource Quality On The Outcome Of Competition Between Aedes Aegypti And Aedes Albopictus And The Resulting Risk Of Vector-Borne Disease, Emma Beck, Lauren Beuerle, Patt Martin, Regan Stambaugh, Rebeca De Jesús Crespo, Michael A. Robert, Suzanne L. Robertson

Faculty Publications

The community composition of vectors and hosts plays a critical role in determining risk of vector-borne disease transmission. Aedes aegypti and Aedes albopictus, two mosquito species that both transmit the viruses that cause dengue, chikungunya, and Zika, share habitat requirements and compete for resources at the larval stage. Ae. albopictus is generally considered a better competitor under many conditions, while Ae. aegypti is able to tolerate higher temperatures and is generally a more competent vector for many pathogens. We develop a stage-structured ordinary differential equation model that incorporates competition between the juvenile stages of two mosquito populations. We incorporate experimental …

Introducing A Markov Chain-Based Time Calibration Procedure For Multi-Channel Particle Detectors: Application To The Superfgd And Tof Detectors Of The T2k Experiment, S. Abe, H. Alarakia-Charles, I. Alekseev, C. Alt, T. Arai, T. Arihara, S. Arimoto, A. M. Artikov, Y. Awataguchi, N. Babu, V. Baranov, G. Barr, D. Barrow, L. Bartoszek, L. Bernardi, L. Berns, S. Bhattacharjee, A. V. Boikov, A. Blanchet, A. Blondel, A. Bonnemaison, S. Bordoni, M. H. Bui, T. H. Bui, F. Cadoux, S. Cap, A. Cauchois, J. Chakrani, P. S. Chong, A. Chvirova, P. Collard, M. Danilov, C. Davis

Faculty Publications

Inter-channel mis-synchronisation can be a limiting factor to the time resolution of high performance timing detectors with multiple readout channels and independent electronics units. In these systems, time calibration methods employed must be able to efficiently correct for minimal mis-synchronisation between channels and achieve the best detector performance. We present an iterative time calibration method based on Markov Chains, suitable for detector systems with multiple readout channels. Starting from correlated hit pairs alone, and without requiring an external reference time measurement, the method solves for fixed per-channel offsets, with precision limited only by the intrinsic single-channel resolution. A mathematical proof …

On Tight (K,ℓ)-Stable Graphs, Xiaonan Liu, Zi Xia Song, Zhiyu Wang

Faculty Publications

For integers (Formula presented.), a graph (Formula presented.) is (Formula presented.) -stable if (Formula presented.) for every (Formula presented.) with (Formula presented.). A recent result of Dong and Wu states that every (Formula presented.) -stable graph (Formula presented.) satisfies (Formula presented.). A (Formula presented.) -stable graph (Formula presented.) is tight if (Formula presented.); and (Formula presented.) -tight for some integer (Formula presented.) if (Formula presented.). In this paper, we first prove that for all (Formula presented.), the only tight (Formula presented.) -stable graphs are (Formula presented.) and (Formula presented.), answering a question of Dong and Luo. We then prove that …