Digital Commons Network^™

Effects Of Mature Recombinant Gdf9 And Bmp15 On In-Vitro Maturation Of Bovine Oocytes And Subsequent Embryo Development And Effects Of Antioxidants On Blastocyst Re-Expansion Rates, Jamie Thompson

Master's Theses

In-vitro produced embryos (IVP) differ greatly from in-vivo derived embryos (IVD) in gene expression, metabolism, development, and cryotolerance which limit the widespread use of this technology. In-vitro maturation (IVM) is one of the most important components for successful in-vitro embryo development. Growth differentiation factor 9 (GDF9) and bone morphogenetic protein 15 (BMP15) have been found to be essential during oocyte maturation and thus female fertility. These proteins are oocyte secreted factors (OSFs) and are produced with pro- and mature protein regions where the pro-regions are thought to aid in protein folding and dimerization where heterodimerization the two proteins has been …

Understanding The Flow Dynamics Of The Pearl River, Ms, Through Hydrodynamic Modeling, Nahruma Mehzabeen Pieu

Master's Theses

The Pearl River brings fresh water and nutrients into Lake Borgne regulating conditions for oyster growth in estuarine waters. However, there are no flow measurement stations installed on East Pearl or West Pearl either at the river outlets or after the upstream bifurcation of the Pearl. This study aims to model the Lower Pearl River to understand the flow dynamics in the major branches, and to determine the final outflow distribution into the Mississippi Sound, aiming to improve river forcing for ocean models studying estuarine dynamics of the Mississippi Sound.

Synthetic meandering bathymetry with updated banks is developed and applied …

A Novel Approach To Extending Music Using Latent Diffusion, Keon Roohparvar, Franz J. Kurfess

Master's Theses

Using deep learning to synthetically generate music is a research domain that has gained more attention from the public in the past few years. A subproblem of music generation is music extension, or the task of taking existing music and extending it. This work proposes the Continuer Pipeline, a novel technique that uses deep learning to take music and extend it in 5 second increments. It does this by treating the musical generation process as an image generation problem; we utilize latent diffusion models (LDMs) to generate spectrograms, which are image representations of music. The Continuer Pipeline is able to …

Experimental Characterization And Computer Vision-Assisted Detection Of Pitting Corrosion On Stainless Steel Structural Members, Riley J. Muehler

Master's Theses

Pitting corrosion is a prevalent form of corrosive damage that can weaken, damage, and initiate failure in corrosion-resistant metallic materials. For instance, 304 stainless steel is commonly utilized in various structures (e.g., miter gates, heat exchangers, and storage tanks), but is prone to failure through pitting corrosion and stress corrosion cracking under mechanical loading, regardless of its high corrosion resistance. In this study, to better understand the pitting corrosion damage development, controlled corrosion experiments were conducted to generate pits on 304 stainless steel specimens with and without mechanical loading. The pit development over time was characterized using a high-resolution laser …

Integrative Analyses Of Genomic And Metabolomic Data Reveal Molecular Mechanisms Associated With Uterine Disease Traits In Transitioning Dairy Cattle, Leanna C. Sanchez, Mohammed Abo-Ismail, Daniel Peterson, Fernando Campos-Chillon

Master's Theses

The metritis complex (MC), characterizing post-partum uterine diseases in dairy cattle has negative implications on animal welfare, production efficiency, and the economic stability of the dairy industry. The studies in this thesis aimed to investigate the genetic architecture of the metritis complex and identify genomic regions and metabolites associated with the development of MC. Thereby enhancing our understanding of the biological pathways and molecular mechanisms involved in the pathophysiology of MC during the transition period in Jersey and Holstein dairy cattle.

Chapter 2 sheds light on the previous work done on MC. The goals of this review were to (1) …

Beyond The Clinic: Modified Internet-Delivered Parent-Child Interaction Therapy, Terreca Cato

Master's Theses

Children who attend Head Start children are at increased risk for emotional and behavioral disorders. A variety of systemic factors contribute to their increased risk for problematic developmental outcomes. Parent-Child Interaction Therapy (PCIT) is an evidence-based intervention for improving positive parenting skills and children’s outcomes. This study included a multiple baseline design across participants and tested the effects of Internet-Delivered Parent-Child Interaction Therapy (I-PCIT) on improving Head Start mothers’ use of the Effective Commands that are part of the Parent Directed Interaction component of PCIT. Seven total mothers were recruited to participate in this study. Four mothers did not complete …

Assessing Dynamics And Trends Of Co2 Flux On The Louisiana Shelf, Claire Mcguire

Master's Theses

The Gulf of Mexico on an annual timescale acts as a sink for ­CO₂. Previous studies have investigated regional-scale trends in the Gulf based on model output. In our investigation of the northern Gulf of Mexico, and especially the area surrounding the Louisiana delta, we found different trends compared with previous studies of the open ocean Gulf and broader shelf region. Predictions of global patterns of the ocean CO₂ cycle require regional studies of unique areas like the Louisiana Shelf. The Louisiana Shelf is a shallow system, has input from river systems, experiences seasonal hypoxia, and is …

Estimation Of Quantitative Genetic Parameters Of The Eastern Oyster (Crassostrea Virginica) In The Gulf Of Mexico, Heather King

Master's Theses

The decline of natural oyster reefs in Gulf of Mexico (Gulf) states has stimulated the development of aquaculture to support the industry and restoration programs. Gulf habitats feature diverse salinity environments that may require oysters bred for habitat-specific optimal genetic characteristics. In this work, genetic parameters for performance in habitats with different salinity were estimated. In September 2020, 102 males and 102 females sourced from 17 natural reefs across the northern Gulf were bred according to 2 males x 2 females non-overlapping factorial crossing designs, resulting in 204 full and half sibs. All families were pooled after fertilization according to …

Social Anxiety And Relational Aggression In The Peer Relationships Of College Women, Summer Boggs

Master's Theses

Relational aggression (i.e., a type of aggression in which the aggressor harms others by damaging their relationships, reputation, and/or feelings of social acceptance) is common among emerging adults and has been linked to several adverse correlates. Research on relational aggression among college students has found some evidence that it is positively associated with social anxiety; however, the specific components of social anxiety and the possible mechanisms through which this relationship may operate are unclear. The current study examined the relationship between social anxiety and relational aggression among college women (N = 292), focusing on fear of negative evaluation (FNE) …

Predictive Ability Of A 3d Body Scanning Mobile Application For Metabolic Health Risk, Caleb Brandner

Master's Theses

There is an increasing prevalence of obesity within the US and rising rates of metabolic syndrome among those aged 20-39 concurrent with a decrease in the reception of primary care. Limitations to healthcare including access, cost, and availability, highlighting the need for simple, efficient, and accessible cardiometabolic health risk screening. Given the surge in smartphone ownership over the last decade, this study sought to determine the predictive ability of a mobile 3D-optical (3DO) body composition assessment application in determining metabolic health risk. A total of 62 participants (female: 36) underwent traditional anthropometric measurements, 3DO body scanning using a smartphone application, …

A Minor Place: A Short Story Collection, Nathaniel Pyle

Master's Theses

In this collection, characters often face interior struggles such as past lives, abusive upbringings, dead partners, and relationship struggles. A Minor Place concerns loneliness and existentialism set with a melancholy, southern gothic setting. Characters toil with their psychological state within a shared and collective universe of the unknown. The characters found within A Minor Place deal with sensitive issues such as loss, isolation, and overcoming their difficulties. A Minor Place implements narratives to showcase a "minor” tonality and coloration and style to accompany this titular minor place.

Genetic Population Structure And Effective Number Of Breeders In Systems Across The Range Of The Gulf Sturgeon, Jacob Zona

Master's Theses

Gulf sturgeon (Acipenser oxyicnhus desotoi) are a large, anadromous fish belonging to an ancient lineage that diverged as early as 400 MYA. Overfishing for meat and caviar during the early 1900’s reduced their range and abundance and continued habitat destruction and mortality have limited their ability to recover, leading to their listing under the Endangered Species Act. This study uses genetic techniques to determine the effective number of breeders for multiple spawning groups of Gulf sturgeon in river systems across their range to set a baseline for tracking reproductive success of the species. Accompanying genetic information relevant to …

Refactoring Dependency Loading And Standardizing Factory Patterns In The Horizon Simulation Framework, Jack W. Kelly

Master's Theses

The Horizon Simulation Framework (HSF) is an open-source community driven mod- eling and simulation tool developed over 15 years by a lineage of Cal Poly graduate students. The tool excels in its flexibility to model an assortment of complex systems, with prebuilt modeling elements available for the simulation of space missions. A high-level simulation tool like HSF lends itself to an agile development cycle as system constraints can be quickly identified through day in the life simulation of the modeled system. The objective of the work presented in this thesis is to refactor the way in which several modeling elements …

Range-Doppler Map Processing Chain For Marine Radar On Fpga Of An Rfsoc, Nickolas W. Ogilvie

Master's Theses

To improve the accuracy and resolution of the measurements, radar systems employ increasingly complex, resource-intensive signal processing, larger bandwidths, and higher carrier frequencies. However, implementing these improvements requires more expensive, complex electronics that are larger and use more power. Using RFSoC (Radio Frequency System on Chips) in radars can address these challenges. By combining processors, an FPGA (Field Programmable Gate Array), and RF data converters into a single integrated circuit, RFSoCs allow for radar electronics that are physically smaller, use less power, and are simpler to design. As using RFSoCs to perform RF data conversion for radars has been already …

Implementation Of Log4net And Parametric Modeling Within The Horizon Simulation Framework, Evan Andrew Droz

Master's Theses

Creating system models and simulations allow for rapid, iterative analysis of spacecraft mission performance. This design methodology provides opportunities for improvement before allocating resources towards further physical spacecraft development. Horizon Simulation Framework (HSF) is a system evaluation tool that can be used for the assessment of spacecraft mission performance, subject to mission targets, constraints, and spacecraft design. Specific subsystems are defined for a unique mission case and are evaluated through a Day-in-the-Life (DITL) scenario simulation. Valuable information can be derived from failed attempted mission-related events, highlighting shortcomings in subsystem capabilities. Further information can be unveiled by assessing possible system sensitivity …

Enhancing Telecom Churn Prediction: Adaboost With Oversampling And Recursive Feature Elimination Approach, Long Dinh Tran

Master's Theses

Churn prediction is a critical task for businesses to retain their valuable customers. This paper presents a comprehensive study of churn prediction in the telecom sector using 15 approaches, including popular algorithms such as Logistic Regression, Support Vector Machine, Decision Tree, Random Forest, and AdaBoost.

The study is segmented into three sets of experiments, each focusing on a different approach to building the churn prediction model. The model is constructed using the original training set in the first set of experiments. The second set involves oversampling the training set to address the issue of imbalanced data. Lastly, the third set …

Play Area Utilization Optimization For Room-Scale Exploration Of Virtual Worlds, Chase Vanderzwan

Master's Theses

Virtual Reality (VR) opens up new possibilities for developers to create immersive worlds and experiences. While it’s possible to craft unique and engaging interactive environments with unprecedented realism, the virtual world is constrained by the real one. Current approaches to player navigation in VR applications include joystick controls, teleportation, and motion-based movement. While these methods are effective in certain scenarios to overcome real-world limitations, my research introduces a novel approach that leverages room scale-based movement, with portals, to traverse a given VR world. This work presents algorithms that accurately predict the percentage of play area utilized, and rules to implement …

Analyzing Robustness Of An Agent Based Model On Action Potentials In Cardiac Tissue, Marion Jon Zollinger Lara

Master's Theses

An agent based model (ABM) is a computational model with ``agents'' that interact with each other in an ``environment.'' This paper analyzes a particular ABM simulating individual ions in cardiac tissue, with the goal of modelling the strength and consistency of the electrical signals needed for a healthy heartbeat. We build several frameworks based on work by M. A. Yereniuk and S. D. Olson to demonstrate robustness of the original model. We conclude a moderate level of robustness using those frameworks, through a combination of proofs and empirical evidence.

Learning The Game: Implementations Of Convolutional Networks In Automated Strategy Identification, Cameron Klig

Master's Theses

Games can be used to represent a wide variety of real world problems, giving rise to many applications of game theory. Various computational methods have been proposed for identifying game strategies, including optimized tree search algorithms, game-specific heuristics, and artificial intelligence. In the last decade, systems like AlphaGo and AlphaZero have significantly exceeded the performance of the best human players in Chess, Go, and other games. The most effective game engines to date employ convolutional neural networks (CNNs) to evaluate game boards, extract features, and predict the optimal next move. These engines are trained on billions of simulated games, wherein …

Suppression Of National Identities: Ukrainian And Baltic Cultures In The Soviet Union, Jonathan H. Mastman

Master's Theses

This thesis defines the formation and consummation of Soviet Bolshevism as another imperialist force rather than its stated objective of freeing the people of the United Soviet Socialist Republics from the clutches of an inequitable elite. Through the policies and objectives of the Soviet government the workers and citizens of Ukraine and the Baltic republics were not liberated or given autonomy over their lives and labor, as Marxist-Leninism would have them believe. I review the Russification efforts found first in the Tsarist Russian Empire and then continued by Soviets in the nature of pursuing or denying cultural, political, and economic …

Mmf-Drl: Multimodal Fusion-Deep Reinforcement Learning Approach With Domain-Specific Features For Classifying Time Series Data, Asmita Sharma

Master's Theses

This research focuses on addressing two pertinent problems in machine learning (ML) which are (a) the supervised classification of time series and (b) the need for large amounts of labeled images for training supervised classifiers. The novel contributions are two-fold. The first problem of time series classification is addressed by proposing to transform time series into domain-specific 2D features such as scalograms and recurrence plot (RP) images. The second problem which is the need for large amounts of labeled image data, is tackled by proposing a new way of using a reinforcement learning (RL) technique as a supervised classifier by …

Implementation Of Topology Optimization Into The Mechanical Design Process, Nolan Clapp

Master's Theses

Topology Optimization is a lightweighting method based on finite element analysis that produces a part with optimum material distribution in the design space. Results from topology optimization often have organic shapes and curves that are difficult if not impossible to machine with traditional subtractive manufacturing methods. This paper analyzes the implementation of the Solidworks® Topology Optimization add-in into the mechanical design process and discusses required postprocessing to ensure manufacturability of the optimized part though a case study on two example parts. Results of traditional optimization, topology optimization and “selective” optimization (optimization using the results from topology optimization to selectively remove …

Effects Of Intertidal Position On The Response To Oxygen And Desiccation Stress In The Common Acorn Barnacle, Balanus Glandula, Megan M. Dotterweich

Master's Theses

Sessile invertebrates in the rocky intertidal experience intermittent periods of air exposure due to tidal flux, presenting risks of temperature extremes, hypoxia, nutrient limitation, and most dangerously, desiccation. Microscale variation in severity and frequency of these risks is widely dependent on vertical position within the intertidal zone. Common acorn barnacles (Balanus glandula) have a wide vertical distribution in the intertidal, creating large differences in microhabitat between the highest and lowest individuals in the population. This study set out to explore whether tidal position dependent differences exist in the response to oxygen and desiccation stress in B. glandula. …

Statistical Uncertainty Of The Ignition Time, Burning Rate, And Extinction Characteristics Of Engineered Timber Products, Jacob David

Master's Theses

The characterization of flammability parameters such as time to ignition, mass loss rate (MLR), and extinction criteria is critical for understanding ignition and burning behavior of timber products. These parameters, often determined with bench scale experiments, have previously been presented in literature. However, standard test methods generally use relatively low trial quantities (e.g., n=3) which can potentially cause large variation in reported values. This study investigates the influence of trial quantity on observed statistical variation in key flammability metrics for timber products (e.g., ignition time, peak MLR, MLR at extinction). Using a conical heater, 100 repeat trials were conducted …

Development Of Wiskott-Aldrich Syndrome Knock Out Protocol For Drug Substance Assay Development, Julia C. Hanna

Master's Theses

Wiskott-Aldrich Syndrome (WAS) is a rare X-linked primary immunodeficiency affecting approximately 1 in 100,000 live XY births in North America and is caused by a mutation to the WAS gene which is expressed across hematopoietic lineages. The WAS protein (WASp) plays a role in regulating actin polymerization. On a cellular level, there are a variety of effects of a lack of WASp or expression of a dysfunctional WASp protein for patients including issues with migration, adhesion, chemotactic response, phagocytosis, activation, and proliferation across different cell types in addition to reduced platelet size and output. This can lead to several systematic …

Deep Learning Recommendations For The Acl2 Interactive Theorem Prover, Robert K. Thompson, Robert K. Thompson

Master's Theses

Due to the difficulty of obtaining formal proofs, there is increasing interest in partially or completely automating proof search in interactive theorem provers. Despite being a theorem prover with an active community and plentiful corpus of 170,000+ theorems, no deep learning system currently exists to help automate theorem proving in ACL2. We have developed a machine learning system that generates recommendations to automatically complete proofs. We show that our system benefits from the copy mechanism introduced in the context of program repair. We make our system directly accessible from within ACL2 and use this interface to evaluate our system in …

Development Of A Low-Cost Acoustic Gauge For Simultaneous Tide And Wave Measurement, Alexander Kalman Dunn

Master's Theses

High-quality tide and wave data are essential in a variety of fields including coastal engineering, climate science, disaster response, and recreational activities. Accurate data are publicly accessible from government organizations such as the National Oceanic and Atmospheric Administration (NOAA), however the high costs associated with deploying and maintaining their high accuracy gauges results in a deficit of localized data. Commercial gauges available starting at $2,000 are still expensive for local agencies and individual users to deploy and maintain. These commercial options can also be limited in their scope, accuracy, or ease of use. In this thesis, a low-cost acoustic gauge …

Examining The Use Of A Network Bypass To Circumvent Data Diodes Within Industrial Control Systems, Bryce Molesh

Master's Theses

Our modern world relies upon large scale industrial plants, that are manged by Industrial Control Systems (ICS), to provide critical services such as electricity, water, or waste processing. Over time, these systems have been increasingly connecting outdated systems to modern internet technology to provide additional functionality such as real-time monitoring while also enabling operators to conduct modern business analytics. Thus, these plants offer a potential target for attackers. Recently, such attacks on Industrial Control Systems have increased in number with well publicized attacks such as Stuxnet and TRISIS. To protect against such attacks while also modernizing their networks, Industrial Control …

Constraint-Driven Open-World Scene Generation, Hunter Borlik

Master's Theses

We introduce an alternative method for open-world scene generation. In this thesis, Graph-based Wave Function Collapse (GWFC) is integrated with Space Colonization Algorithm (SCA) and used to place objects in an unstructured 3D environment. This combined algorithm, Space Colonization Graph-based Wave Function Collapse (SC-GWFC), leverages the constraint-based capabilities of GWFC and the ability of SCA to populate arbitrary 3D volumes. We demonstrate that objects of variable scale can be successfully used with SC-GWFC. Since this algorithm is run in an interactive environment, we demonstrate iterative modifications to a partially complete scene and incorporate PCG into a scene editing process. As …

Groups Of Non Positive Curvature And The Word Problem, Zoe Nepsa

Master's Theses

Given a group $\Gamma$ with presentation $\relgroup{\scr{\scr{A}}}{\scr{R}}$, a natural question, known as the word problem, is how does one decide whether or not two words in the free group, $F(\scr{\scr{A}})$, represent the same element in $\Gamma$. In this thesis, we study certain aspects of geometric group theory, especially ideas published by Gromov in the late 1980's. We show there exists a quasi-isometry between the group equipped with the word metric, and the space it acts on. Then, we develop the notion of a CAT(0) space and study groups which act properly and cocompactly by isometries on these spaces, such groups …