Social Stories To Shape Impulsive Behaviors To Increase Self-Regulation In Preschoolers, Caroline Claire Hargrave

LSU Master's Theses

ABSTRACT

BACKGROUND: Students need to be able to self-regulate their behavior within the classroom, thus not interrupting instruction and keeping the classroom running smoothly. Self-regulation is a critical skill children need to succeed in multiple aspects of life. Poor self-regulation skills can lead to challenges academically as well as socially. Contrary to self-regulation is impulsivity, which surrounds not thinking before doing. Impulsivity is a common factor seen within the preschool setting, which surrounds multiple behavior variations deemed unsuitable for classroom learning. Previous research indicates that social stories can be implemented within the classroom to decrease inappropriate behaviors in preschoolers with …

Silent Period Versus Selective Mutism In Young Bilingual Children: A Case Study, Blake Alley

LSU Master's Theses

Intro: It is difficult to distinguish between typical bilingual communication behaviors and those of monolinguals with communication disorders. One difficulty is distinguishing between a silent period and selective mutism. A silent period refers to a relatively brief period of time during which a bilingual refuses to speak in unfamiliar language contexts. Selective mutism refers to a refusal to speak for a long period of time in any language context. The purpose of this study is to disentangle selective mutism from a silent period for a 4 year 10-month-old Spanish English bilingual female.

Methods: This study will include questionnaires, and seven …

Impact Of Glufosinate On Sugarcane Yield And Yield Components When Applied Post-Directed And Its Efficacy In Controlling Emerged Itchgrass (Rottboellia Cochinchinensis), Warner R. Simon

LSU Master's Theses

Weed control is extremely important in the Louisiana sugarcane (Saccharum spp.) industry, as it is a perennial crop that grows back after each harvest. Fields are kept weed free using mechanical and chemical methods to prevent weed-crop competition and further establishment of weed populations. The weed itchgrass (Rottboellia cochinchinensis) has become problematic for Louisiana sugarcane producers. Sometimes, itchgrass can still emerge after farmers have made a pre-emergence (PRE) herbicide application. These weeds are usually controlled using the herbicide paraquat dichloride (paraquat) in post-emergence (POST) directed applications. In recent year, 2016-2024, the United States Environmental Protection Agency …

The Design, Construction, And Testing Of Mrna Vaccine Against Equine Herpes Virus, Bhawana Devkota

LSU Master's Theses

Equine Herpesvirus-1 (EHV 1) is a worldwide significant pathogen that causes respiratory illness, abortion, and neurological disorders in equine. Current vaccines, including live attenuated, inactivated, and subunit platforms, do not prevent viral latency, mucosal shedding, or cross-strain immunity, requiring alternative approaches. To address these gaps, this project explores the design, synthesis, and in vitro testing of an mRNA vaccine targeting immunogenic EHV 1 glycoprotein (gB, gC, gD, gG, and gM). Epitopes were computationally predicted using the Immune Epitope Database (IEDB), codon-optimized for Bos taurus, and cloned into pUCIDT vectors using SP6/T7 promoters. In vitro transcription (IVT) used nucleotide modifications …

Improving The Stability And Selectivity Of Methane Dry Reforming Catalysis Through Active Site And Process Tuning, Jonathan Lucas

LSU Doctoral Dissertations

Dry reforming of methane (DRM) is a potential industrial solution to greenhouse emissions whereby CH₄ and CO₂ are reacted on a transition metal catalyst to produce syngas, a feed stock for higher value chemical products. Ni can be used as the catalyst for DRM replacing the high cost and low abundance noble metals (Pt, Pd, Rh). However, the harsh process conditions of DRM (T > 700°C, P of 1-10 bar) readily deactivate Ni through coking and sintering. Ni supported on reducible oxides, specifically CeO₂ and CeO₂-ZrO₂ (CZO), have been widely studied to combat the rapid …

Bayesian Network-Based Framework To Uncover Social Inequities In Flood Risk: Application To East Baton Rouge Parish, Louisiana, Fuad Hasan

LSU Master's Theses

Regional flood risk assessment requires understanding the complex interplay of sociodemographic, socioeconomic, hydrogeologic, built environment, and climatic variables that impact flood vulnerability. Traditional studies often focus on large-scale units, overlooking localized variations and disproportionate exposure within populations. To address these gaps, a methodological framework of flood risk assessment using the Bayesian network was proposed and applied to East Baton Rouge Parish, Louisiana, for the August 2016 flood event to identify relationships between flood risk variables at the housing unit level. Flood exposure representativeness (FER) was determined using the Bayesian network's inference capabilities to identify over- or under-represented groups. This study …

Desired Student Learning Outcomes For Middle School Agricultural Education: A Modified Delphi Study, Jacob P. Englin

LSU Doctoral Dissertations

Middle school agricultural education programs across the U.S. have continued to increase, but modern systems have failed to provide support for the preparation of middle school agricultural education teachers. For instance, middle school teachers have expressed concern regarding the development and implementation of middle school agricultural curriculum. In response, this investigation sought to identify learning outcomes related to agricultural content, technical skills, and career readiness for middle school agricultural education. A modified, three-round modified Delphi study was used to identify these learning outcomes. The expert panelists consisted of 19 middle school agricultural education teachers who completed a teacher certification program …

Variation In Response To Phosphorus Among Sweetpotato (Ipomoea Batatas L.) Cultivars, Jeffrey Cole Denis Gregorie

LSU Doctoral Dissertations

Phosphorus (P) is essential for plant growth and is often a major limiting nutrient in agriculture. In sweetpotato (Ipomoea batatas), studies on the role of P on storage root yield have been limited because of the lack of response and inconsistent results across cultivars and years. Growing evidence shows that current phosphate (Pi) fertilizer rates can be reduced while maintaining productivity. Newly published molecular evidence shows differential expression of phosphate starvation response genes among sweetpotato cultivars, further supporting the hypothesis of cultivar-specific Pi sensitivity. The research herein sought to characterize root system architecture and yield response to Pi …

Erratum: Correction: Soil Contamination By Environmentally Persistent Free Radicals And Dioxins Following Train Derailment In East Palestine, Oh (Environmental Science. Processes & Impacts (2025) 27 3 Doi: 10.1039/D4em00609g.), Myron L. Lard, Sarah E. Eichler, Peng Gao, Kuldeep Singh, Joseph D. Ortiz, Robert L. Cook, Slawomir Lomnicki, Stephania A. Cormier, Jennifer Richmond-Bryant

Division of Basic Science Faculty Publications

Correction for 'Soil contamination by environmentally persistent free radicals and dioxins following train derailment in East Palestine, OH' by Myron L. Lard et al., Environ. Sci.: Processes Impacts, 2025, https://doi.org/10.1039/d4em00609g.

In The Thick Of It, Mark T. Leavens

LSU Master's Theses

In this exhibition, In The Thick Of It, my paintings and sculptures serve as a visual diary of my experience moving to and navigating life in Louisiana. Through art, I document this new landscape and atmosphere, capturing my evolving emotional state, shifting focus, and emerging ideas. As an outsider, the process of discovery introduces layers of tension, curiosity, and fragmentations in my paintings. The spaces within my paintings reflect a constant flux, mirroring the ongoing adjustments to Louisiana’s cultural cues, history, and environment. The complexity of this rich yet challenging place permeates my art, creating dynamic, layered compositions that echo …

An Interdisciplinary Analysis Framework For Found Object Experimental Music, Erin Demastes

LSU Doctoral Dissertations

Found object experimental music consists of compositions and performances created with objects not intended for musical performance. Found objects can range from appliances and household items to power tools and consumer products to souvenirs and heirlooms. Although these objects are used with the intent of creating musical compositions, new characteristics that are not found in traditional music emerge. One major characteristic that differentiates found object music from traditional music is that the objects have inherent cultural associations and meaning outside of their use in the composition. While an analysis of the sonic structures and scores of found object experimental music …

The Metaphysics Of Frank Herbert's Dune And God Emperor Of Dune: On Time And Language, Garrett J. Busshart

LSU Doctoral Dissertations

This dissertation studies the metaphysics of time and rhetoric in the science fiction novels Dune (1963) and God Emperor of Dune (1981) by Frank Herbert. The first chapter critiques the protagonist’s sense of temporality, an ideology in which the future consists of multiple possible choices while each decision of one forecloses a still larger set. Jean-Pierre Dupuy calls this a “supermarket” model of temporality, as if the future were a contingent-free menu of possibilities a subject is free to pick between. My assertion is that this sense of temporality—the Western norm—matches the protagonist’s, Paul Atreides’s, rhetoric. In disclosing Paul’s sense …

An Operator Information Quantity Of A Semigroup And Associated Differential Equations, Kimiaki Saito, Ryo Inayoshi

Journal of Stochastic Analysis

No abstract provided.

Investigating Spatial Mapping Of Lipid And Protein Alterations Within Cells And Tissues Using Raman Microspectroscopy, Elnaz Sheikh

LSU Doctoral Dissertations

The progression of various diseases is associated with alterations in the microenvironment of cells, consisting of a variety of metabolites like lipids and proteins. It is well known that lipids and proteins are potential biomarkers for indicating alterations within the cell microenvironment induced by disease, and various methods are frequently used for their examination. To understand the chemical composition and spatial distribution of constituents in tissues and cells, confocal Raman spectroscopy and microscopy, as non-destructive tools, have shown potential for monitoring abnormalities at the cellular level with high resolution and can facilitate detection through targeting multiple biomarkers. The application of …

Examining The Role Of Cognition And Late-Life Treatment Resistant Depression On Everyday Functioning, Ashlyn Runk

LSU Master's Theses

The capacity to complete instrumental activities of daily living (IADL) is essential to older adults maintaining their ability to age in place and is influenced by factors including depression and cognition. There is evidence to suggest that depression and cognition influence each other in their relationship with everyday functioning. However, much of this work has been done in samples with low overall levels of depressive symptoms. The goal of the current study was to examine these relationships in older adults with a history of moderate to severe treatment resistant depression and determine if the relationship between executive functioning and everyday …

Layer-Dependent Spin-Resolved Electronic Structure Of Ferromagnetic Triple-Layered Ruthenate Sr4ru3 O10, Prosper Ngabonziza, Jonathan D. Denlinger, Alexei V. Fedorov, Gang Cao, J. W. Allen, G. Gebreyesus, Richard M. Martin

Faculty Publications

High-resolution angle- and spin-resolved photoemission spectroscopy (ARPES) of the triple-layered ruthenate Sr4Ru3O10 reveals features of the electronic structure that extend our understanding of the layered strontium ruthenates. The spectra near the Fermi energy are very different from the nonmagnetic analogues Sr2RuO4 and Sr3Ru2O7 with distinct Fermi surfaces for wide electronlike minority spin bands around the zone center and narrow holelike majority spin Fermi surface contours around the zone corners. The most dramatic results are two narrow spectral peaks ∼30 meV below the Fermi level, a spin-minority holelike band at the Brillouin zone center, and a spin-majority saddle-band van Hove singularity …

The Product Formula Of Multiple Stochastic Integrals With Respect To The Poisson Space Noise, Yuh-Jia Lee, Hsin-Hung Shih

Journal of Stochastic Analysis

No abstract provided.

American Option Pricing Using Generalised Stochastic Hybrid Systems, Evelyn Buckwar, Sascha Desmettre, Agnes Mallinger, Amira Meddah

Journal of Stochastic Analysis

No abstract provided.

About Fixed Points Of Quantum Channels, Raffaella Carbone

Journal of Stochastic Analysis

No abstract provided.

Ec2vec: A Machine Learning Method To Embed Enzyme Commission (Ec) Numbers Into Vector Representations, Mengmeng Liu, Xialong Ni, J. Ramanujam, Michal Brylinski

Faculty Publications

Enzyme commission (EC) numbers play a vital role in classifying enzymes and understanding their functions in enzyme-related research. Although accurate and informative encoding of EC numbers is essential for enhancing the effectiveness of machine learning applications, simple EC encoding approaches suffer from limitations such as false numerical order and high sparsity. To address these issues, we developed EC2Vec, a multimodal autoencoder that preserves the categorical nature of EC numbers and leverages their hierarchical relationships, resulting in more meaningful and informative representations. EC2Vec encodes each digit of the EC number as a categorical token and then processes these embeddings through a …

Induced-Minor-Closed Classes Of Matroids, James Dylan Douthitt

LSU Doctoral Dissertations

A graph is chordal if every cycle of length at least four has a chord. In 1961, Dirac characterized chordal graphs as those graphs that can be built from complete graphs by repeated clique-sums. Generalizing this, we consider the class of simple GF(q)-representable matroids that can be built from projective geometries over GF(q) by repeated generalized parallel connections across projective geometries. We show that this class of matroids is closed under induced minors and characterize the class by its forbidden induced minors, noting that the case when q=2 is distinctive. Additionally, we show that the class of GF(2)-chordal matroids coincides …

A Case For The Original Setting Of Rachmaninoff’S Piano Sonata No. 2, Op. 36, Alexias L. Ferrer

LSU Doctoral Dissertations

This document aims to examine both the original 1913 and revised 1931 settings of Sergei Rachmaninoff’s Piano Sonata No. 2 Op. 36, and to present a case in favor of the lesser-known 1913 rendition of the piece as the more definitive setting of the work. The study begins with historical background information on the work and shows how the piece originated from a mature composer at the most productive period in his life and contrasts this to the historical background of the work’s revision. In a deeper analysis of form and content, the positives and negative qualities of each version …

Best Practices: Running Focus Groups With Young Children, H. Colleen Sinclair

Reports

The practice guide provides general recommendations for conducting focus groups with elementary school children in the United States. The guide was assembled with the intention of gathering students' experiences with math, particularly their use of digital learning tools in the classroom. Researchers provide practical and easy-to-follow recommendations for qualitative inquiry with groups of young students.

Infrared Laser Ablation Of Biomolecules From Formalin-Fixed Tissue, Blessing Chisom Egbejiogu

LSU Doctoral Dissertations

In the research described in this dissertation, a high-precision infrared laser ablation microsampling method was utilized for spatially resolved proteomic and lipidomic analyses of formalin fixed paraffin embedded (FFPE) tissue, a widely used archival sample in biomedical research. Despite its extensive use, FFPE tissue presents challenges for proteomic analysis due to protein cross-linking and modifications introduced during fixation, which can hinder extraction and identification. Developing a streamlined high-resolution method to recover biomolecules from FFPE samples is critical for advancing biomarker discovery, retrospective studies, and multi-omics research. To address these challenges, this study employs an infrared (IR) laser ablation microdissection system …

Trans-Arg: Predicting Antibiotic Resistance Genes With A Transformer-Based Model And Pretrained Protein Language Model, Mohd Manzar Abbas, Amit Ranjan, Aixin Hou, Supratik Mukhopadhyay

Faculty Publications

Antibiotic resistance presents an emerging challenge to global health by reducing the efficacy of antibiotics administered to treat bacterial infections. Traditional approaches for detecting antibiotic resistance genes (ARGs) involve alignment-based sequence similarity techniques, which are time-consuming and resource-intensive. This signifies the necessity for developing advanced computational methods to detect ARGs early. To address this challenge, we introduce Trans-ARG, a novel multi-head attention transformer-based model designed to predict potential ARGs. Our approach leverages the pretrained ESMFold model to extract embeddings from protein sequences, capturing intricate structural and functional information. Protein sequences labelled as ARG or non-ARG were used as the dataset. …

Kg-Dta: A Knowledge Graph-Based Meta-Path Learning Framework To Predict Drug-Target Binding Affinity, Amit Ranjan, Adam Bess, Md Saiful Islam Sajol, Magesh Rajasekaran, Chris Alvin, Supratik Mukhopadhyay

Faculty Publications

Drug target affinity (DTA) prediction is essential at different phases of drug discovery and virtual drug screening. However, traditional wet lab experiments are time and resource-intensive owing to the complex interactions within the vast biological and chemical spaces. Computational methods have proven their potential to predict DTA, but none have considered the association of drugs and proteins to capture the complex interactions in the biological network between drugs and proteins. To address this, we propose a novel framework leveraging knowledge graph-based meta-path learning (KG-DTA) to enhance DTA prediction. First, we construct a weighted heterogeneous network of drugs and proteins that …

Negotiating Home In The Long Poem: Amatoritsero Ede’S Transpatiality, Mathias Iroro Orhero

Faculty Publications

In this paper, I argue that Amatoritsero Ede uses the long poem to negotiate the idea of home in an African diasporic context. As a form that carries the implications of length, time, and space, the long poem has been used by poets to interrogate the way we structure the world and to deconstruct grand narratives. The figure of the Black immigrant is one that destabilizes grand narratives of nationalism. This makes the form important in its capacity to ask important questions about nation and tradition even as it transgresses them. As a writer from the Niger Delta, a marginal …

High-Resolution Model Intercomparison Project Phase 2 (Highresmip2) Towards Cmip7, Malcolm J. Roberts, Kevin A. Reed, Qing Bao, Joseph J. Barsugli, Suzana J. Camargo, Louis Philippe Caron, Ping Chang, Cheng Ta Chen, Hannah M. Christensen, Gokhan Danabasoglu, Ivy Frenger, Neven S. Fučkar, Shabeh Ul Hasson, Helene T. Hewitt, Huanping Huang, Daehyun Kim, Chihiro Kodama, Michael Lai, Lai Yung Ruby Leung, Ryo Mizuta, Paulo Nobre, Pablo Ortega, Dominique Paquin, Christopher D. Roberts, Enrico Scoccimarro, Jon Seddon, Anne Marie Treguier, Chia Ying Tu, Paul A. Ullrich, Pier Luigi Vidale, Michael F. Wehner, Colin M. Zarzycki

Faculty Publications

Robust projections and predictions of climate variability and change, particularly at regional scales, rely on the driving processes being represented with fidelity in model simulations. Consequently, the role of enhanced horizontal resolution in improved process representation in all components of the climate system continues to be of great interest. Recent simulations suggest the possibility of significant changes in both large-scale aspects of the ocean and atmospheric circulations and in the regional responses to climate change, as well as improvements in representations of small-scale processes and extremes, when resolution is enhanced. The first phase of the High-Resolution Model Intercomparison Project (HighResMIP1) …

Sensitivity Of Spatial And Temporal Precipitation Patterns To Aerosol Loadings During An Extreme Precipitation Event, Wenjia Cao, Robert V. Rohli, Paul W. Miller

Faculty Publications

Aerosols are important modulators of the precipitation-generating process, with their concentrations potentially affecting the precipitation process in extreme events. Existing literature suggests that, through microphysical processes, additional aerosols lead to a larger number of smaller cloud droplets, which eventually redistributes the latent heat and the precipitation process. This research addresses the question of how sensitive the spatial and temporal patterns of heavy precipitation events are to aerosol concentration. National Centers for Environmental Prediction (NCEP) Global Data Assimilation System (GDAS) final (FNL) data were used as input to the Weather Research and Forecasting (WRF) model, to simulate the case study of …

Developing A Southern Ocean Marine Ecosystem Model Ensemble To Assess Climate Risks And Uncertainties, Kieran Murphy, Denisse Fierro-Arcos, Tyler Rohr, David Green, Camilla Novaglio, Katherine Baker, Kelly Ortega-Cisneros, Tyler D. Eddy, Cheryl S. Harrison, Simeon L. Hill, Patrick Eskuche-Keith, Camila Cataldo-Mendez, Colleen M. Petrik, Matthew Pinkerton, Paul Spence, Ilaria Stollberg, Roshni C. Subramaniam, Rowan Trebilco, Vivitskaia Tulloch, Juliano Palacios-Abrantes, Sophie Bestley, Daniele Bianchi, Philip Boyd, Pearse J. Buchanan, Andrea Bryndum-Buchholz, Marta Coll, Stuart Corney, Samik Datta, Jason D. Everett, Romain Forestier, Elizabeth A. Fulton, Vianney Guibourd De Luzinais, Ryan Heneghan

Faculty Publications

Climate change could irreversibly modify Southern Ocean ecosystems. Marine ecosystem model (MEM) ensembles can assist policy making by projecting future changes and allowing the evaluation and assessment of alternative management approaches. However, projected changes in total consumer biomass from the Fisheries and Marine Ecosystem Model Intercomparison Project (FishMIP) global MEM ensemble highlight an uncertain future for the Southern Ocean, indicating the need for a region-specific ensemble. A large source of model uncertainty originates from the Earth system models used to force FishMIP models, particularly future changes to lower trophic level biomass and sea-ice coverage. To build confidence in regional MEMs …