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Connections Between Interglacial Variation And Lithological Variability Within Midland Basin Permian Shale Rocks In Martin County, Texas, Helen Rice Hammon Apr 2022

Connections Between Interglacial Variation And Lithological Variability Within Midland Basin Permian Shale Rocks In Martin County, Texas, Helen Rice Hammon

LSU Master's Theses

The Upper Pennsylvanian (323.2–289.9 Ma) and Lower Permian (289.9-251 Ma), (Wolfcamp and Spraberry formations) interval of the Midland Basin, West Texas, contains a mixed succession of shale, carbonate, and siltstone/sandstone lithofacies that accumulated in a deep-water marine environment under variable hydrographic restrictions. The heterogenous stratigraphy found in the Wolfcamp and Spraberry formation was formed in response to variations in sea level and a transition from a glacial to an interglacial climate during the Early Permian. These fluctuations left behind alternating beds of mudstone and carbonate, interwoven with thin sandstone beds. Because the Wolfcamp and Spraberry formations are highly heterolithic, it …


New Synthetic Reactions Enabled By Protected Oxyallyl And Amidoallyl Cations, Binod Nepal Apr 2022

New Synthetic Reactions Enabled By Protected Oxyallyl And Amidoallyl Cations, Binod Nepal

LSU Doctoral Dissertations

This dissertation entails design and development of two new synthetic methodologies made possible through the generation of cationic species, namely oxyallyl and amidoallyl cations. Chapter 1 involves literature survey on generation and trapping of oxyallyl cations. Mostly known for cycloaddition reactions with these elusive species, the most recent approach of direct nucleophilic capture of oxyallyl cations are discussed. Apt design of substrates and reaction conditions by Kartika Group to access a-electrophilic carbon towards the synthesis of a variety of value-added compounds, i.e., 1,4- and 1,6-dicarbonyls, carbazoles, densely substituted pyrroles and furans are elaborated.

Chapter 2 focuses on our discovery of …


Computer Science At Community Colleges: Attitudes And Trends, Trenton W. Dawson Apr 2022

Computer Science At Community Colleges: Attitudes And Trends, Trenton W. Dawson

LSU Doctoral Dissertations

This study aimed to understand the identity and attitude of students enrolled in computer science (CS) or programming-related course at community colleges nationwide. This study quantitatively evaluation data for estimating the relationships between students’ identity and attitudes toward computer science with prior programming experience and other demographic factors. I distributed the survey to community college faculty of computer science programs nationwide. Questions for this study were adapted from the Computing Attitude Survey developed by Weibe, Williams, Yang, & Miller (2003). Using two robust quantitative statistical methodologies, I investigated the correlations and predictability of previous programming experience, gender, race, and age …


A Deep Reinforcement Learning Approach With Prioritized Experience Replay And Importance Factor For Makespan Minimization In Manufacturing, Jose Napoleon Martinez Apr 2022

A Deep Reinforcement Learning Approach With Prioritized Experience Replay And Importance Factor For Makespan Minimization In Manufacturing, Jose Napoleon Martinez

LSU Doctoral Dissertations

In this research, we investigated the application of deep reinforcement learning (DRL) to a common manufacturing scheduling optimization problem, max makespan minimization. In this application, tasks are scheduled to undergo processing in identical processing units (for instance, identical machines, machining centers, or cells). The optimization goal is to assign the jobs to be scheduled to units to minimize the maximum processing time (i.e., makespan) on any unit.

Machine learning methods have the potential to "learn" structures in the distribution of job times that could lead to improved optimization performance and time over traditional optimization methods, as well as to adapt …


Tuning Properties Of Topological Insulators: An Ab-Initio Approach, Karunya Shailesh Shirali Apr 2022

Tuning Properties Of Topological Insulators: An Ab-Initio Approach, Karunya Shailesh Shirali

LSU Doctoral Dissertations

This thesis develops a first-principles based approach to explore the tuning of topological properties of the tetradymite topological insulators. We begin by setting up a framework to systematically obtain the bulk and surface properties of topological insulators, treating the structural and electronic properties on an equal footing. We determine a consistent method for including the van der Waals interactions, which are responsible for the weak coupling between sets of atomic layers in this family of layered materials, which is important in obtaining accurate structural properties. We obtain close agreement with experimental values for both the bulk and surface states.

To …


Anticipating Stochastic Integrals And Related Linear Stochastic Differential Equations, Sudip Sinha Apr 2022

Anticipating Stochastic Integrals And Related Linear Stochastic Differential Equations, Sudip Sinha

LSU Doctoral Dissertations

Itô’s stochastic calculus revolutionized the field of stochastic analysis and has found numerous applications in a wide variety of disciplines. Itô’s theory, even though quite general, cannot handle anticipating stochastic processes as integrands. There have been considerable efforts within the mathematical community to extend Itô’s calculus to account for anticipation. The Ayed–Kuo integral — introduced in 2008 — is one of the most recent developments. It is arguably the most accessible among the theories extending Itô’s calculus — relying solely on probabilistic methods. In this dissertation, we look at the recent advances in this area, highlighting our contributions. First, we …


Improving Memory Forensics Capabilities On Apple M1 Computers, Raphaela Santos Mettig Rocha Apr 2022

Improving Memory Forensics Capabilities On Apple M1 Computers, Raphaela Santos Mettig Rocha

LSU Master's Theses

Malware threats are rapidly evolving to use more sophisticated attacks. By abusing rich application APIs such as Objective-C’s, they are able to gather information about user activity, launch background processes without the user’s knowledge as well as perform other malicious activities. In some cases, memory forensics is the only way to recover artifacts related to this malicious activity, as is the case with memory-only execution. The introduction of the Rosetta 2 on the Apple M1 introduces a completely new attack surface by allowing binaries of both Intel x86 64 and ARM64 architecture to run in userland. For this reason it …


Our Stories Light The Way: A Phenomenological Study Exploring The Experiences Of Black Women Stem Graduates From Predominantly White Institutions, Raeshan Davis Apr 2022

Our Stories Light The Way: A Phenomenological Study Exploring The Experiences Of Black Women Stem Graduates From Predominantly White Institutions, Raeshan Davis

LSU Doctoral Dissertations

Grounded in a conceptual framework informed by Social Cognitive Career Theory, Intersectionality, and Community Cultural Wealth, this study explored the experiences of 17 Black women who graduated from STEM undergraduate programs at predominantly White institutions (PWIs). Utilizing a qualitative study approach provided rich, detailed insights into the internal and external contributors at play in the lives of the Black women who successfully navigated their STEM undergraduate programs at PWIs. Through the exploration of their individual and collective experiences, this study illuminated four major themes: (1) asserting one’s sense of belonging in the pursuit of a STEM career, (2) the value …


Seismic Inversion And Modeling For Improving Earthquake Hazard Assessment, Rasheed Ajala Apr 2022

Seismic Inversion And Modeling For Improving Earthquake Hazard Assessment, Rasheed Ajala

LSU Doctoral Dissertations

The substantial research and the uncertain timeline to achieve deterministic earthquake prediction make the ground-shaking estimation of realistic earthquake scenarios a helpful approach in seismic hazard assessment. The accuracy of these computations depends on having structural subsurface models with good representations of sedimentary basins, fault zones, and crustal heterogeneity. We develop higher resolution seismic models for the Coachella Valley in Southern California and Indo-Burma. These areas have rising populations, expanding infrastructure, and highly anticipated disruptive earthquakes. We utilize data from recent seismic deployments and newly developed seismic imaging algorithms and the techniques of travel time tomography, wave propagation simulation, and …


Rethinking The Design Of Online Professor Reputation Systems, Haley Tatum Apr 2022

Rethinking The Design Of Online Professor Reputation Systems, Haley Tatum

LSU Master's Theses

Online Professor Reputation (OPR) systems, such as RateMyProfessors.com (RMP), are frequently used by college students to post and access peer evaluations of their pro- fessors. However, recent evidence has shown that these platforms suffer from major bias problems. Failing to address bias in online professor ratings not only leads to negative expectations and experiences in class, but also poor performance on exams. To address these concerns, in this thesis, we study bias in OPR systems from a software design point of view. At the first phase of our analysis, we conduct a systematic literature review of 23 interdisciplinary studies on …


Gps Observations Of Subsidence In South Louisiana Over Seasonal And Sub-Seasonal Timescales Associated With Hydrologic Loading, Nicholas Schuler Apr 2022

Gps Observations Of Subsidence In South Louisiana Over Seasonal And Sub-Seasonal Timescales Associated With Hydrologic Loading, Nicholas Schuler

LSU Master's Theses

Louisiana’s primary environmental concern is arguably coastal wetland loss due to high subsidence rates, previously estimated to range from 1-14 mm/yr across much of the coast. Spatially and temporally varying strong short-term and seasonal components of deformation associated with changes in hydrologic loading throughout the year can give information about the elastic properties of the shallow crust, having implications for better understanding long-term subsidence trends across the region. Therefore, we quantify and characterize vertical deformation that occurs on annual to sub-annual timescales across southeast Louisiana. Vertical deformation is evaluated using publicly available daily GPS positions from 2016–2020 at 16 stations …


A Street-Based Simulation Approach To Evaluating Crime Theories And Deterrence Efficacy In Baton Rouge, Louisiana, Shaun Edward Williams Apr 2022

A Street-Based Simulation Approach To Evaluating Crime Theories And Deterrence Efficacy In Baton Rouge, Louisiana, Shaun Edward Williams

LSU Doctoral Dissertations

Criminology of place and deterrence strategy evaluations share separate yet similar paths towards incorporating microgeographic units of analysis within deterrence strategies. These transitions have been underway since Weisburd’s 2015 criminology of place work and Kennedy’s 1997 Ceasefire publication for deterrence strategy evaluation. Rather than purely theoretical or practical challenges serving as agents of change, scale appropriateness can arguably be pinpointed as the foundation for change in both areas. Microplace offers improved insight into the study of crime and place dominated by areal designs. This status quo has hampered evaluation but has not slowed the flow of resources to support strategy …


Synthesis, Characterization, And Photo-Reactivity Studies On Mo(Vi) Dioxo Complexes For C-H Activation And O-Atom Transfer, Saeed Fosshat Apr 2022

Synthesis, Characterization, And Photo-Reactivity Studies On Mo(Vi) Dioxo Complexes For C-H Activation And O-Atom Transfer, Saeed Fosshat

LSU Doctoral Dissertations

Metal oxos are important intermediates in various chemical transformations that include electron transfer, proton-coupled electron transfer (PCET) and and O-atom transfer. Various extent of π-bonding from the oxo ligands to the central metal causes changes in nucleophilicity and overall reactivity of these species. Several factors can influence the electronic structure of the M=O bonds such as central metal oxidation state, geometry, ancillary ligands and spin state of the metal. A general strategy to increase the reactivity of metal oxos is to use electron rich metal centers that are less oxophilic. As a result of this, extensive amount of research has …


Practical Considerations And Applications For Autonomous Robot Swarms, Rory Alan Hector Apr 2022

Practical Considerations And Applications For Autonomous Robot Swarms, Rory Alan Hector

LSU Doctoral Dissertations

In recent years, the study of autonomous entities such as unmanned vehicles has begun to revolutionize both military and civilian devices. One important research focus of autonomous entities has been coordination problems for autonomous robot swarms. Traditionally, robot models are used for algorithms that account for the minimum specifications needed to operate the swarm. However, these theoretical models also gloss over important practical details. Some of these details, such as time, have been considered before (as epochs of execution). In this dissertation, we examine these details in the context of several problems and introduce new performance measures to capture practical …


A New Perspective On A Polynomial Time Knot Polynomial, Robert John Quarles Apr 2022

A New Perspective On A Polynomial Time Knot Polynomial, Robert John Quarles

LSU Doctoral Dissertations

In this work we consider the Z1(K) polynomial time knot polynomial defined and
described by Dror Bar-Natan and Roland van der Veen in their 2018 paper ”A polynomial time knot polynomial”. We first look at some of the basic properties of Z1(K), and develop an invariant of diagrams Ψm(D) related to this polynomial. We use this invariant as a model to prove how Z1(K) acts under the connected sum operation. We then discuss the effect of mirroring the knot on Z1(K), and described a geometric interpretation of some of the building blocks of the invariant. We then use these to …


Performing Memory Forensics For Object Recovery From Android Application Memory, Sneha Sudhakaran Apr 2022

Performing Memory Forensics For Object Recovery From Android Application Memory, Sneha Sudhakaran

LSU Doctoral Dissertations

The analysis of application-specific behavior has become an increasingly important technique in cyber forensics and incident response. The ability to determine the precise actions taken by a user can be the difference between a successful analysis and one that fails to meet its goals. The precise actions includes URLs visited, files downloaded, messages sent and received, images viewed, and data accessed. Evidence extraction from application memory at runtime is an effective solution to successfully extract valuable objects allocated by each application, and it is evident that there is a need for more Android forensics analysis tools that support recovering evidence …


Effects Of Engagements And Presentation Order In Informal Science Presentations, William Henry Katzman Apr 2022

Effects Of Engagements And Presentation Order In Informal Science Presentations, William Henry Katzman

LSU Doctoral Dissertations

Science museums conduct presentations for their audiences to attract and educate visitors, yet research on presentations has primarily concentrated on whether individual presentations were effective. This mixed-methods, quasi-experimental study looks at how the presenter’s mental and physical engagements within a presentation affects audience members by altering sociocultural context of the presentation.

Physical engagements involve asking audience members to physically participate, while mental engagements involved asking audience members to make predictions prior to observing a demonstration. Audiences were given presentations containing: 1) Both mental and physical engagements, 2) Physical engagements only, 3) Mental engagements only or 4) No engagements (control).

This …


General Stochastic Calculus And Applications, Pujan Shrestha Apr 2022

General Stochastic Calculus And Applications, Pujan Shrestha

LSU Doctoral Dissertations

In 1942, K. Itô published his pioneering paper on stochastic integration with respect to Brownian motion. This work led to the framework for Itô calculus. Note that, Itô calculus is limited in working with knowledge from the future. There have been many generalizations of the stochastic integral in being able to do so. In 2008, W. Ayed and H.-H. Kuo introduced a new stochastic integral by splitting the integrand into the adaptive part and the counterpart called instantly independent. In this doctoral work, we conduct deeper research into the Ayed–Kuo stochastic integral and corresponding anticipating stochastic calculus.

We provide a …


The State Of Agricultural Mechanics In The Preparation Of School-Based Agricultural Education Teachers, Tyler Granberry Apr 2022

The State Of Agricultural Mechanics In The Preparation Of School-Based Agricultural Education Teachers, Tyler Granberry

LSU Doctoral Dissertations

Agricultural mechanics has become a primary subject area for school-based agricultural education (SBAE). However, despite a long history and high prevalence in SBAE, preservice and in-service SBAE teachers have frequently expressed concerns regarding teaching agricultural mechanics. Research from the early 21st century documented the characteristics of preservice SBAE teacher training in agricultural mechanics on a national level. However, more recent studies have suggested that the agricultural mechanics training requirements for preservice SBAE teachers have changed. The purpose of this study was to compare the level of agricultural mechanics preparation of preservice SBAE teachers between 2000 and 2021. To accomplish this, …


Advanced Communication And Sensing Protocols Using Twisted Light And Engineered Quantum Statistics, Michelle L. Lollie Apr 2022

Advanced Communication And Sensing Protocols Using Twisted Light And Engineered Quantum Statistics, Michelle L. Lollie

LSU Doctoral Dissertations

Advanced performance of modern technology at a fundamental physical level is driving new innovations in communication, sensing capability, and information processing. Key to this improvement is the ability to harness the power of physical phenomena at the quantum mechanical level, where light and light-matter interactions produce technological advancement not realizable by classical means. Theoretical investigation into quantum computing, sensing capability beyond classical limits, and quantum information has prompted experimental work to bring state-of-the-art quantum systems to the forefront for commercial use. This dissertation contributes to the latter portion of the work. A set of preliminaries is included highlighting pertinent physical …


Sediment Buffering And Recycling On An Annual To Centennial Scale Along The Mississippi River, Nikki E. Neubeck Apr 2022

Sediment Buffering And Recycling On An Annual To Centennial Scale Along The Mississippi River, Nikki E. Neubeck

LSU Master's Theses

Although the Mississippi River and its tributaries have been investigated for many years, the alteration of the river through dams, levees, and diversions has affected how sediment is transported from source to sink (>103 y). Previous provenance research using detrital zircon U-Pb dating indicates a slow transport time from source-to-sink, but recent anthropogenic alterations of the river may potentially diminish the transportation time of heavy minerals due to an increase in flow efficiency. The objective of this study is to analyze the degree of buffering and recycling of Mississippi River sediment over a range of short time scales, …


Shocking: Using Machine Learning Techniques To Nowcast Lightning Strikes From Station Level Data, Michael D. Broussard Apr 2022

Shocking: Using Machine Learning Techniques To Nowcast Lightning Strikes From Station Level Data, Michael D. Broussard

LSU Master's Theses

Lightning strikes are incredibly common and potentially hazardous. Lightning can lead to loss of life, property damage, or can trigger other hazardous events like wildfires. They are also the result of incredibly complex physical processes in the atmosphere, making it challenging to predict strikes. However, given the extensive data and robust analytical techniques available, machine learning methods could be used to establish data relationships between lightning strikes and ground-level atmospheric measurements. Such a model could be used to provide any surface-based weather station with a method for predicting incoming strikes, making it easier to avoid the potentially hazardous effects of …


Characterizations Of Certain Classes Of Graphs And Matroids, Jagdeep Singh Apr 2022

Characterizations Of Certain Classes Of Graphs And Matroids, Jagdeep Singh

LSU Doctoral Dissertations

``If a theorem about graphs can be expressed in terms of edges and cycles only, it probably exemplifies a more general theorem about matroids." Most of my work draws inspiration from this assertion, made by Tutte in 1979.

In 2004, Ehrenfeucht, Harju and Rozenberg proved that all graphs can be constructed from complete graphs via a sequence of the operations of complementation, switching edges and non-edges at a vertex, and local complementation. In Chapter 2, we consider the binary matroid analogue of each of these graph operations. We prove that the analogue of the result of Ehrenfeucht et. al. does …


Bat Habitat Use And Activity In Forests Of Central Louisiana, Jane M. Kunberger Apr 2022

Bat Habitat Use And Activity In Forests Of Central Louisiana, Jane M. Kunberger

LSU Master's Theses

In the southeastern U.S., where forests are the primary land cover type and trees are often harvested for production purposes, understanding how forestry practices influence bat distributions is critical for bat conservation and management. It is also important for researchers to quantify and report variation in the performance of automated recordings units (ARUs) used to survey for bats because several key features of ARUs (e.g., microphone sensitivity, triggering thresholds) can influence an ARUs ability to detect bat calls. My goals were (1) to examine the influence of forest management practices on seasonal bat species occurrence and activity in central Louisiana, …


Seneca Falls, Hannah Rice Apr 2022

Seneca Falls, Hannah Rice

Honors Capstones

No abstract provided.


New Aspects Of Optical Coherence And Their Potential For Quantum Technologies, Nathaniel Robert Miller Apr 2022

New Aspects Of Optical Coherence And Their Potential For Quantum Technologies, Nathaniel Robert Miller

LSU Doctoral Dissertations

Currently, optical technology impacts most of our lives, from light used in scientific measurement to the fiber optic cables that makeup the backbone of the internet. However, as our current optical infrastructure grows, we discover that these technologies are not limitless. Astronomers find themselves unable resolve stars that are too close to one another. Meanwhile, the internet is always under threat as our computer technology improves and more complex ways to break encryption emerge, threatening our personal information and infrastructure. However, our current optical technology functions on classical principles, and can be easily improved by incorporating our knowledge of quantum …


Competitive Sorption And Transport Of Heavy Metals In Soil And Mn Oxide-Coated Sand, Joshua Tyler Padilla Apr 2022

Competitive Sorption And Transport Of Heavy Metals In Soil And Mn Oxide-Coated Sand, Joshua Tyler Padilla

LSU Doctoral Dissertations

This study investigated the competitive sorption of Ni, Pb, and Zn as well as synergistic interactions between Ni and phosphate (P) in soils and Mn oxide-coated sand. During stirred-flow experiments, the sorption of heavy metal cations by Olivier soil was mutually reduced when applied simultaneously. When applied consecutively, the cation of higher affinity was able to displace the cation of lower affinity from the soil surface, however, no evidence for the reverse case was observed. A novel general exchange kinetics model was able to correctly describe such displacement. Competition between Ni and Zn mutually increased mobility in Olivier and Windsor …


A Numerical Investigation Of Flood And Sediment Dynamics Over The Coastal Watersheds During Hurricane Events, Dongxiao Yin Apr 2022

A Numerical Investigation Of Flood And Sediment Dynamics Over The Coastal Watersheds During Hurricane Events, Dongxiao Yin

LSU Doctoral Dissertations

Landfalling tropical cyclones can cause catastrophic floods and sediment disturbance over the coastal watersheds. This study aims to unravel the contribution of different processes to hurricane-induced flooding, to assess the uncertainties in flood modelling and forecasting, and to advance the techniques in sediment simulation over coastal watersheds during hurricanes.

First, I examined the hydrometeorology and hydrology of Hurricane Florence (2018) induced inland flooding. My results suggest that the slow motion in combination with the “L-shaped” path was the most distinctive feature of the hurricane that incurred catastrophic and widespread rainfall and flooding over the Cape Fear River Basin (CFRB).

Second, …


Investigation Of Groundwater Depletion And Leveel Underseepage With Unstructured-Grid Modeling Approach, Ye-Hong Chen Apr 2022

Investigation Of Groundwater Depletion And Leveel Underseepage With Unstructured-Grid Modeling Approach, Ye-Hong Chen

LSU Doctoral Dissertations

Unstructured grid is a tessellation of geometric shapes in irregular patterns that provides flexibility in grid design for groundwater modeling. However, groundwater modeling is mostly developed with uniform grid tessellation and layer, which could simplify model structure or cause expensive computational costs in high-resolution simulations. Unstructured grid incorporates non-uniform horizontal and non-uniform vertical discretizations providing the capability to replicate complex hydrostratigraphy, capture geologic features that are crucial for groundwater flow simulation, and reduce computational costs while maintaining a high resolution for areas of interest. This study contains three parts to investigate unstructured-grid approach on constructing high-fidelity groundwater models, comparisons with …


Unavoidable Structures In Large And Infinite Graphs, Sarah Allred Apr 2022

Unavoidable Structures In Large And Infinite Graphs, Sarah Allred

LSU Doctoral Dissertations

In this work, we present results on the unavoidable structures in large connected and large 2-connected graphs. For the relation of induced subgraphs, Ramsey proved that for every positive integer r, every sufficiently large graph contains as an induced subgraph either Kr or Kr. It is well known that, for every positive integer r, every sufficiently large connected graph contains an induced subgraph isomorphic to one of Kr, K1,r, and Pr. We prove an analogous result for 2-connected graphs. Similarly, for infinite graphs, every infinite connected graph contains an induced subgraph …