Digital Commons Network^™

Probabilistic Well-Posedness For The Nonlinear Wave Equation On B2 × T, Aynur Bulut

Faculty Publications

We establish probabilistic well-posedness results for the subcubic nonlinear wave equation, posed on the domain B2 × T, with randomly chosen initial data having radial symmetry in the B2 variable, and with vanishing Dirichlet boundary conditions on ∂B2 × T.

Historic Breeding Practices Contribute To Germplasm Divergence In Leaf Specialized Metabolism And Ecophysiology In Cultivated Sunflower (Helianthus Annuus), Jordan A. Dowell, Alan W. Bowsher, Amna Jamshad, Rahul Shah, John M. Burke, Lisa A. Donovan, Chase M. Mason

Faculty Publications

Premise: The use of hybrid breeding systems to increase crop yields has been the cornerstone of modern agriculture and is exemplified in the breeding and improvement of cultivated sunflower (Helianthus annuus). However, it is poorly understood what effect supporting separate breeding pools in such systems, combined with continued selection for yield, may have on leaf ecophysiology and specialized metabolite variation. Methods: We analyzed 288 lines of cultivated H. annuus to examine the genomic basis of several specialized metabolites and agronomically important traits across major heterotic groups. Results: Heterotic group identity supports phenotypic divergences between fertility restoring and cytoplasmic male-sterility maintainer …

Combined Toxicity Of Multi-Walled Carbon Nanotubes And Cu2+ On The Growth Of Ryegrass: Effect Of Surface Modification, Dose, And Exposure Time Pattern, Wenwen Xie, Cheng Peng, Weiping Wang, Xiaoyi Chen, Jiaqi Tan, Wei Zhang

Faculty Publications

The escalating release of multi-walled carbon nanotubes (MWCNTs) into the environment has raised concerns due to their potential ecotoxicological impacts. However, their combined phytotoxicity with heavy metals such as copper (Cu) is still unclear. This study investigated the individual and combined toxic effects of MWCNTs (MWCNT, MWCNT-OH, and MWCNT-COOH) and Cu²⁺ on ryegrass (Lolium multiflorum), uniquely considering different addition orders. The results show that Cu severely inhibited the growth of ryegrass while MWCNTs exhibited a hormesis effect on ryegrass. When MWCNT and Cu were combined, the malondialdehyde (MDA) content in ryegrass showed a 32.39% increase at 20 mg/L MWCNT …

The Roles Of Vicarious Trauma Exposure And Perceived Social Support In Codeine Syrup Misuse Among Black Men Living In Prisons, Jardin Dogan-Dixon, Shawndaya S. Thrasher, Shemeka Thorpe, Paris Wheeler, Danelle Stevens-Watkins

Faculty Publications

Using General Strain Theory, this study investigates the effects of vicarious trauma exposure and perceived social support on nonmedical codeine syrup misuse among Black incarcerated men nearing community re-entry. Data were drawn from the Helping Incarcerated Men project, a study examining mental health, substance misuse, and human immunodeficiency virus (HIV) risk behaviors among Black men living in prisons who were within 180 days of release. A total of 200 Black men self-reported demographics (i.e., age and length of incarceration after age 18), vicarious trauma exposure (e.g., ever witnessing an assault with a weapon and a sudden accidental death), perceived social …

Cultural Predictors Of Self-Esteem Among Black Women With Criminal Justice Involvement And Herpes Simplex Virus, Natalie Malone, Jardin N. Dogan-Dixon, Shemeka Thorpe, Shawndaya S. Thrasher, Paris Wheeler, Danelle Stevens-Watkins, Carrie B. Oser

Faculty Publications

Black women have disproportionately alarming HSV-2 infection rates yet receive little attention in sexual health literature. Using a strengths-based resilience framework, this study sought to determine culturally relevant protective predictors of self-esteem for Black women who are justice-involved and have HSV-2. The authors conducted secondary data analysis on data from the “Black Women in the Study of Epidemics (B-WISE) Project,” a longitudinal prospective study investigating health disparities and health services utilization among Black women with justice involvement. At baseline, N = 151 Black women with HSV-2 who were incarcerated or on probation completed survey measures assessing self-esteem, ethnic identity affirmation …

Comprehensive Structural Study Of Lanthanide(Iii) Chloride Hydrates: [Recl3·Xh2o (Re = La–Nd, Sm–Lu; X = 6, 7)], Thimira Kandabadage, Beau Legnon, Sviatoslav Baranets

Faculty Publications

A comprehensive crystallographic study is presented of the complete series of rare-earth(III) chloride hydrates. Early lanthanides form dimeric [(H2O)7RE(μCl)2RE(H2O)7]⁴⁺ binuclear complexes in which each RE atom (RE = La³⁺, Ce³⁺) is coordinated by seven H2O molecules and two bridging inner-sphere chloride ions. Di-μ-chlorido-bis[heptaaqualanthanide(III)] tetrachloride, [(H2O)7RE(μ-Cl)2RE(H2O)7]Cl4, crystallizes in the triclinic space group P1. Heavier lanthanides exhibit monomeric [RECl2(H2O)6]⁺ units where each RE atom (RE = Pr³⁺, Nd³⁺, Sm³⁺–Lu³⁺) is coordinated by six H2O molecules and two inner-sphere chloride ions. Hexaaquadichloridolanthanide(III) chlorides, [RECl2(H2O)6]Cl, adopt the monoclinic space group …

Precision Synthesis Of Conjugated Polymer Films By Surface-Confined Stepwise Sonogashira Cross-Coupling, Sang Gil Youm, Mitchell T. Howell, Chien Hung Chiang, Lu Lu, Neepa M.K. Kuruppu Arachchige, John F. Ankner, Joseph Strzalka, Yaroslav Losovyj, Jayne C. Garno, Evgueni E. Nesterov

Faculty Publications

Thin films of poly(arylene ethynylene)-conjugated polymers, including low-energy-gap donor–acceptor polymers, can be prepared via stepwise polymerization utilizing surface-confined Sonogashira cross-coupling. This robust and efficient polymerization protocol yields conjugated polymers with a precise molecular structure and with nanometer-level control of the organization and the uniform alignment of the macromolecular chains in the densely packed film. In addition to high stability and predictable and well-defined molecular organization and morphology, the surface-confined conjugated polymer chains experience significant interchain electronic interactions, resulting in dominating intermolecular π-electron delocalization which is primarily responsible for the electronic and spectroscopic properties of polymer films. The fluorescent films demonstrate …

Venomcap: An Exon-Capture Probe Set For The Targeted Sequencing Of Snake Venom Genes, Scott L. Travers, Carl R. Hutter, Christopher C. Austin, Stephen C. Donnellan, Matthew D. Buehler, Christopher E. Ellison, Sara Ruane

Faculty Publications

Snake venoms are complex mixtures of toxic proteins that hold significant medical, pharmacological and evolutionary interest. To better understand the genetic diversity underlying snake venoms, we developed VenomCap, a novel exon-capture probe set targeting toxin-coding genes from a wide range of elapid snakes, with a particular focus on the ecologically diverse and medically important subfamily Hydrophiinae. We tested the capture success of VenomCap across 24 species, representing all major elapid lineages. We included snake phylogenomic probes in the VenomCap capture set, allowing us to compare capture performance between venom and phylogenomic loci and to infer elapid phylogenetic relationships. We demonstrated …

Characterization Of Health And Safety Resources For Athletes With Sickle Cell Trait At Ncaa Institutions, Susan W. Yeargin, Courtney M. Meyer, Rebecca M. Hirschhorn, Abbi D. Lane, Shawn M. Arent, Clint R. Haggard

Faculty Publications

Yeargin, SW, Meyer, CM, Hirschhorn, RM, Lane, AD, Arent, SM, and Haggard, CR. Characterization of health and safety resources for athletes with sickle cell trait at NCAA institutions. J Strength Cond Res 38(11): 1967-1973, 2024 - The purpose of this study was to report the prevalence of student-athletes with sickle cell trait (SCT), determine which screening practices are most commonly used, describe the health and human performance services provided to athletes, and ascertain if differences between National Collegiate Athletic Association (NCAA) designations or divisions exist. A cross-sectional survey design was used to query healthcare administrators regarding SCT resources at their …

The Sec Spanish Consortium: Foundations For Linguistic Gratuity And Language Documentation Among Latinx Populations In New Destination Communities Of The U.S. South, Stephen Fafulas, Chad Howe, Rafael Orozco, Alicia Cipria, Erin O’Rourke, Nina Moreno, Matthew J. Van Hoose

Faculty Publications

Latinx populations in the USA have grown steadily in recent decades, with significant increases taking place in “new destination communities” of the U.S. South. The focus of our paper is to highlight opportunities for working with these populations, including traditional sociolinguistic ethnographies and community-engaged research. We highlight an initiative named “The SEC Spanish Consortium” which is an interinstitutional collaboration centered on scholarship and service involving Latinx populations in new destination communities of the U.S. South. We show that ongoing and future scholarly work in the U.S. South can act as a mechanism for documenting these emerging Latinx communities while simultaneously …

Storm-Driven Tree Exposure And Geomorphic Change: Predicting The Distribution Of Preserved Late Pleistocene Tree Stumps On The Outer Alabama Continental Shelf, Kelli L. Moran, Kehui Xu, Jeffrey Obelcz, Kristine L. Delong, Kendall Fontenot, Carl A. Reese, Grant L. Harley, Douglas Jones, Alicia Caporaso

Faculty Publications

The Alabama Underwater or Drowned Forest is a well-preserved Late Pleistocene (dated to 72–56 ± 8 ka, 2σ) terrestrial landform on the northern Gulf of Mexico continental shelf that provides geomorphic and ecosystem information rarely preserved during the glacial intervals. Stumps of bald cypress (Taxodium distichum (L.) Rich.) trees were exposed in ∼18 m of water following Hurricane Ivan in 2004. This research investigates geomorphic changes to the Mississippi-Alabama-Florida (MAFLA) sand sheet, which presents as shore-oblique Holocene sand ridges, and the exposure and burial of tree stumps following the passage of Hurricane Sally in 2020 using repeat sidescan and bathymetric …

Editorial Introduction: Policy Actors, Dynamics, And Developments—New Insights From Process Theories And Methodological Applications, Geoboo Song, Gwen Arnold, Melissa K. Merry, Davor Mondom, Ben Galloway, Briana Huett, Camille Gilmore, Saba Siddiki, Holly L. Peterson, Creed Tumlison, Heasun Choi, Meerim Seiitova

Faculty Publications

No abstract provided.

Precision Bottlebrush Polymers: Synthesis, Characterization, And Structure-Property Relationship, Nduka D. Ogbonna

LSU Doctoral Dissertations

Bottlebrush polymers, a type of non-linear polymer characterized by densely grafted side chains on a linear backbone, offer a versatile platform for material design due to their unique thermomechanical and rheological behavior. Addressing the grand challenge of achieving structural precision for bottlebrush polymers remains crucial because traditional disperse mixtures are plagued with batch variability, limiting our ability to control their functions, and correlate theoretical predictions with experiments. To date, narrow-dispersity bottlebrush polymers remain highly heterogeneous, as they are typically synthesized from disperse linear building blocks.

To address this longstanding challenge of structural heterogeneity in brush polymers, the primary objective of …

Prediction Of Individual Weight Loss Using Supervised Learning: Findings From The CalerieTm 2 Study, Christina Glasbrenner, Christoph Höchsmann, Carl F. Pieper, Paulina Wasserfurth, James L. Dorling, Corby K. Martin, Leanne M. Redman, Karsten Koehler

Clinical Research Faculty Publications

Background: Predicting individual weight loss (WL) responses to lifestyle interventions is challenging but might help practitioners and clinicians select the most promising approach for each individual. Objective: The primary aim of this study was to develop machine learning (ML) models to predict individual WL responses using only variables known before starting the intervention. In addition, we used ML to identify pre-intervention variables influencing the individual WL response. Methods: We used 12-mo data from the comprehensive assessment of long-term effects of reducing intake of energy (CALERIETM) phase 2 study, which aimed to analyze the long-term effects of caloric restriction on human …

Learning Problems Related To Stochastic Differential Equations, Jinpu Zhou

LSU Doctoral Dissertations

Stochastic differential equations (SDEs) are essential for modeling systems influenced by both deterministic dynamics and random fluctuations, with applications in a wide variety of disciplines. This thesis develops a Bayesian framework for nonparametric learning in SDEs, addressing key challenges in inference, particularly when dealing with complex systems and incomplete data. The thesis begins by establishing a theoretical foundation in optimization over Hilbert spaces, including a generalized representer theorem to address infinite-dimensional optimization problems encountered in nonparametric inference. Building on this, we introduce a Bayesian framework with shrinkage priors to learn drift functions from high-frequency data. Bayesian approach incorporates low-cost sparse …

Deephive: A Reinforcement Learning Approach For Automated Discovery Of Swarm-Based Optimization Policies, Eloghosa Ikponmwoba, Opeoluwa Owoyele

Faculty Publications

We present an approach for designing swarm-based optimizers for the global optimization of expensive black-box functions. In the proposed approach, the problem of finding efficient optimizers is framed as a reinforcement learning problem, where the goal is to find optimization policies that require a few function evaluations to converge to the global optimum. The state of each particle within the swarm is defined as its current position and function value within a design space, and the particles learn to take favorable actions that maximize the reward, which is based on the final value of the objective function. The proposed approach …

Research Gaps And Priorities For Quantitative Microbial Risk Assessment (Qmra), Kerry A. Hamilton, Joanna Ciol Harrison, Jade Mitchell, Mark Weir, Marc Verhougstraete, Charles N. Haas, A. Pouyan Nejadhashemi, Julie Libarkin, Tiong Gim Aw, Kyle Bibby, Aaron Bivins, Joe Brown, Kara Dean, Gwyneth Dunbar, Joseph N.S. Eisenberg, Monica Emelko, Daniel Gerrity, Patrick L. Gurian, Emma Hartnett, Michael Jahne, Rachael M. Jones, Timothy R. Julian, Hongwan Li, Yanbin Li, Jacqueline Mac Donald Gibson, Gertjan Medema, J. Scott Meschke, Alexis Mraz, Heather Murphy, David Oryang, Emmanuel De Graft Johnson Owusu-Ansah, Emily Pasek, Abani K. Pradhan

Faculty Publications

The coronavirus disease 2019 pandemic highlighted the need for more rapid and routine application of modeling approaches such as quantitative microbial risk assessment (QMRA) for protecting public health. QMRA is a transdisciplinary science dedicated to understanding, predicting, and mitigating infectious disease risks. To better equip QMRA researchers to inform policy and public health management, an Advances in Research for QMRA workshop was held to synthesize a path forward for QMRA research. We summarize insights from 41 QMRA researchers and experts to clarify the role of QMRA in risk analysis by (1) identifying key research needs, (2) highlighting emerging applications of …

Computational Modeling Of Tool-Rock Frictional Contact With Anisotropic Damage, Yaneng Zhou, George Z. Voyiadjis

Faculty Publications

The mechanism of frictional contact is investigated between a blunt tool and quasi-brittle rocks with anisotropic damage. A recently developed anisotropic elasto-plastic-damage model is further validated using experimental results under monotonic and cyclic loadings for rocks and concrete. A finite element model of tool-rock frictional contact is validated by analytical results in the two asymptotic regimes of an elastoplastic rock. The mesh sensitivity is reduced using a fracture energy-based method for anisotropic damage. The tool-rock frictional contact is predominantly controlled by three dimensionless parameters: η, ξ, and ζ, which characterize elastoplasticity, brittleness, and anisotropic damage, respectively. The newly introduced damage …

Development Of Multifunctional Wood Composites With Integrated Phase Change Materials For Enhanced Thermal Management, Self-Healing, And Sustainability., Emmanuel Igbokwe

LSU Master's Theses

Abstract

This study focused on incorporating self-healing, flame retardancy, and energy harvesting capabilities into the wood composite to contribute to more sustainable and energy-efficient building practices. Oriented strand board has been widely used as sheath for roofing or dry walls in residential buildings. Residential buildings account for a large portion of energy consumption. Therefore, an oriented strand board with energy harvesting capability is highly desired. Additionally, flame retardancy and damage self-healing and end-of-life recycling are also critical features for buildings.

In this study, we prepared a novel oriented strand board by constructing sandwich structures. The face sheets of the sandwich …

Addressing Knowledge Gaps In Disease Epidemiology And Detection Of Fungicide Resistance In Cercospora Leaf Blight Of Soybean, Stephanie Karen Ramos

LSU Master's Theses

Cercospora leaf blight (CLB) has been the primary foliar disease impacting the soybean crop in the mid-South for over a decade. A poor understanding of disease epidemiology and the prevalence of fungicide resistance have added complexity to management efforts. Recent findings suggest that airborne conidia play a significant role in the outbreak of CLB. We investigated the relationship between weather variables and conidial release using multi-site, multi-year spore trapping data. The findings confirm that C. cf. flagellaris is the dominant CLB pathogen, contributing significantly more conidia than C. cf. sigesbeckiae and C. kikuchii in soybean fields across Arkansas, Mississippi, …

Digital Agriculture Approaches: Uav-Based N Monitoring And Machine Learning For Maize Yield Prediction, And N Response Assessment Across Rice Varieties, Rejina Adhikari

LSU Master's Theses

Sustainable agriculture is essential for addressing global challenges such as food security, environmental degradation, and climate change while ensuring high productivity and resource conservation. Precision agriculture technologies, like UAV-based remote sensing and advanced sensors, offer tools to monitor real-time crop health, soil conditions, and nutrient levels, aiding in informed decision-making and resource optimization. In this research, field trials were conducted in maize and rice to assess the effectiveness of NDRE (Normalized Difference Red Edge) obtained from UAV-based remote sensing for nitrogen management. For maize, the study demonstrated that NDRE accurately assessed nitrogen levels during critical growth stages, with yields ranging …

Redefining The Art Songs Of Maude Valérie White, Sarah C. Rees

LSU Doctoral Dissertations

Maude Valérie White (1866-1937) was an English composer during the Victorian Era. Her main output was in the genre of art song, of which she wrote more than two hundred during her life. Her music was very popular at the height of her career around 1880-1890, but fell out of favor with the general public in line with the general reaction against Victorian art and ideals. This written document focuses on the life of Maude Valérie White contextualized within the ideals of Victorian womanhood. It will explore the development of her musical style through eight song analyses: The Devout Lover, …

Eastern Baccharis Control In Newly Planted Wetland Reserve Programs, Lucas Stamper

LSU Doctoral Dissertations

The Lower Mississippi Alluvial Valley is a high-priority region for restoration of bottomland hardwood forests. Restoration of these forests is facilitated through conservation easement programs, such as the Conservation Reserve Program (CRP) and the Wetland Reserve Program (WRP), which focus on retiring marginal agriculture land and restoring bottomland hardwoods. A prominent issue that reduces hardwood establishment success is the failure to suppress competing vegetation, like eastern baccharis (Baccharis halimifolia L.), that aggressively colonize a site after seedlings are planted. Eastern baccharis is a frequent woody invader of disturbed bottomland sites throughout northeast Louisiana. There are few chemical options for …

Determining The Impact Of Lethal Temperature And Relative Humidity When Combined With Various Insecticide Classes Against A Bed Bug (Cimex Lectularius) Population., Bandana Shrestha

LSU Master's Theses

Common bed bugs (Cimex lectularius) are obligatory blood-feeding pests that have adapted well to survive in challenging environmental conditions. Known for their high tolerance to dehydration, low water loss, and high critical thermal maximum, they have become difficult to manage. Environmental factors, particularly temperature and humidity, play a significant role in their survival. However, with growing resistance to insecticides, integrated pest management (IPM) strategies are now essential for effective bed bug control. A key strategy in IPM involves combining insecticides with heat treatments. This method aims to overcome the limitations of heat treatment alone, as bed bugs may …

Do #Blm At The Plantation: A Study Of Plantation Tourism After The Racial Reckoning Of 2020, Denetria N. Lee

LSU Master's Theses

Following the murder of George Floyd at the hands of Minneapolis police officer Derek Chauvin, the widespread public protest of racial injustice created a groundswell that prompted corporate and media responses, so much so that by the end of the summer of 2020, it seemed as if "Black Lives Mattered" everywhere and to everyone. Public response incentivized subsequent corporate response in financial pledges and other commitments to racial justice initiatives until 2020, which became known as the year that America confronted racism or the racial reckoning of 2020. While the public demanded acknowledgment of the many forms of contemporary racial …

Exploring The Efficacy Of Transcutaneous Auricular Vagal Nerve Stimulation On Post-Stroke Aphasia: A Single-Subject Design Study, Aswathy Anakkathil Pradeep

LSU Doctoral Dissertations

Background: Anomia or word-retrieval difficulty is a common long-term language impairment for individuals with post-stroke aphasia. Several behavioral interventions like semantic feature analysis (SFA) have shown positive results in naming outcomes, but continue to face difficulty in generalizing the treatment effects to untreated items. With recent advancements in technology, researchers are developing newer neuromodulation devices that aim at promoting neuroplasticity and neural reorganization in post-stroke individuals. Transcutaneous auricular vagal nerve stimulation (taVNS) is a relatively new technology that aims at stimulating the auricular branch of the vagal nerve to promote neuroplasticity. Studies have shown taVNS to potentially facilitate positive improvements …

Evaluating Viability, Developmental Competence, And Chromatin Configurations Of Cryopreserved Equine Oocytes, Tricia Adams

LSU Doctoral Dissertations

Assisted reproduction technology and the use of specialized laboratories have increased in the horse breeding industry over the last decade. This expansion has highlighted the inability to routinely cryopreserve oocytes and preserve female genetics. Oocyte vitrification, a cryopreservation process, continues to be characterized as an experimental procedure in horses. The goal of this dissertation was to evaluate the viability, developmental competence, and nuclear structures of cryopreserved equine oocytes to illuminate potential areas of improvement in the vitrification process. Oocytes were collected from abattoir derived ovaries and exposed to either varying lengths of in vitro maturation (IVM) or pretreated with a …

The Structure, Oxidation States, And Energetics Of Co Nanoparticles On Ceo2(111): An Stm And Dft Study, Md Saeedur Rahman, Nishan Paudyal, Linze Du Hill, Jing Zhou, Ye Xu

Faculty Publications

Co nanoparticles (NPs) dispersed on ceria have been widely studied as active catalytic materials for many industrially relevant reactions. The detailed nature of such particles and the factors affecting their interaction with ceria remain to be better understood. In this study, a very low coverage (∼0.02 ML) of Co is deposited on a model CeO2(111) thin-film surface and is examined using scanning tunneling microscopy (STM) and X-ray photoelectron spectroscopy (XPS). The Co NPs that nucleate on terrace sites grow with coverage in this range to a maximum size of ca. 40 Co atoms, with an average diameter and height of …

Resource Harvesting For Parallel Functions In Serverless Workflows, Peiman Fotouhi

LSU Master's Theses

In the rapidly evolving landscape of cloud computing, serverless architectures have gained attention for their scalability and cost-effectiveness. This thesis aims to introduce a novel approach to maximize resource utilization in serverless environments through the concept of harvesting idle resources within Directed Acyclic Graph (DAG)-based workloads. Our proposed solution targets resource harvesting at parallel stages by utilizing Machine Learning models to accurately harvest or accelerate serverless functions. Additionally, we present a scheduling algorithm specifically designed to address the unique requirements of DAG workloads in cloud environments.

The framework leverages dynamic resource allocation techniques to identify and exploit idle resources within …

Cp Decomposition Initialization Schemes For Speeding-Up Of Convolutional Neural Networks, Mollee M. Swift

LSU Master's Theses

While machine learning and convolutional neural networks (CNNs) are making strides, a persistent effort remains to optimize classification techniques and target redundancies from a large number of parameters naturally present in CNNs. While CNNs have become more accessible across machine learning, the aim is to make their use optimal for central processing unit (CPU) schemes with varying degrees of computational power. Tensor decomposition methods, specifically canonical polyadic (CP) decomposition, look to reduce parameters by compressing specific layers in a CNN. However, they have certain inconsistencies, and their full potential remains untouched as decomposition research is endless, with many facets one …