Digital Commons Network^™

Reducing Scope 3 Emissions By Investing In Regenerative Agriculture In Supply Chains, Stephanie Cain

Master's Theses

The agricultural industry has an opportunity to shift to a more sustainable practice that helps restore vital topsoil, improve water quality, reduce environmental impact, and sequester atmospheric carbon into the vast soil carbon pool. However, to implement these practices at considerable scale, agricultural producers require access to resources and capital they rarely have and can be difficult to acquire. As a company, investing in regenerative agriculture in supply chains can lead to reduced Scope 3 emissions, more resilient supply chains, and better marketability as an investment fund, an employer, and a brand. Insetting regenerative agriculture can protect supply chains against …

Food For Thought: The Effects Of Feeding On Neurogenesis In The Ball Python, Python Regius, Hannah F. Bow

Master's Theses

Pythons are a well-studied model of postprandial physiological plasticity. Consuming a meal has been shown by past work to evoke a suite of physiological changes in pythons and elicit one of the largest documented increases in post-feeding metabolic rates relative to resting values. However, little is known about how this plasticity manifests in the brains of ball pythons, Python regius. Previous work using the cell-birth marker 5-bromo-12’-deoxyuridine (BrdU) has shown that cell proliferation in the python brain increases six days following meal consumption. This study aimed to confirm these findings and build on them in the long term by …

Predicting Location And Training Effectiveness (Plate), Erik Rolf Bruenner

Master's Theses

Abstract Predicting Location and Training Effectiveness (PLATE)
Erik Bruenner

Physical activity and exercise have been shown to have an enormous impact on many areas of human health and can reduce the risk of many chronic diseases. In order to better understand how exercise may affect the body, current kinesiology studies are designed to track human movements over large intervals of time. Procedures used in these studies provide a way for researchers to quantify an individual’s activity level over time, along with tracking various types of activities that individuals may engage in. Movement data of research subjects is often collected through …

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Autonomous Attitude Consensus For Nanosatellite Formations In Leo, Laird J. Mendelson

Master's Theses

Consensus strategies are examined as a possible approach to achieving attitude alignment for a large, close-proximity formation of nanosatellites in low earth orbit (LEO). An attitude-only distributed consensus approach is selected for further consideration due to its comparatively low data transmission requirements. The convergence of a connected network of satellites to the attitude agreement subspace under this control law is shown using a Lyapunov stability approach with a set of idealizing assumptions. A moderate-fidelity simulation demonstrates the performance of the control law under realistic conditions that violate those assumptions. Particular emphasis is placed on the conditions that arise from the …

Detecting Coherent Transport Structures In Ocean Surface Flows, Leah Hoogstra

Master's Theses

Ocean surface transport plays a critical role in marine ecosystems, influencing the complex spatiotemporal patterns of both marine species and pollutants. The theory of Lagrangian coherent structures (LCSs) aims to identify fundamental patterns within time-dependent, nonlinear fluid flows. LCSs are material surfaces that act as dividing lines which fluid does not cross for a relevant period of time. LCS theory is still under active development, and there are multiple proposed ways to mathematically determine an LCS. Each proposed mathematical definition aims to capture the same physical properties, and some capture those properties more successfully and consistently than others. Here we …

Neural Tabula Rasa: Foundations For Realistic Memories And Learning, Patrick R. Perrine

Master's Theses

Understanding how neural systems perform memorization and inductive learning tasks are of key interest in the field of computational neuroscience. Similarly, inductive learning tasks are the focus within the field of machine learning, which has seen rapid growth and innovation utilizing feedforward neural networks. However, there have also been concerns regarding the precipitous nature of such efforts, specifically in the area of deep learning. As a result, we revisit the foundation of the artificial neural network to better incorporate current knowledge of the brain from computational neuroscience. More specifically, a random graph was chosen to model a neural system. This …

Wasm-Pbchunk: Incrementally Developing A Racket-To-Wasm Compiler Using Partial Bytecode Compilation, Adam C. Perlin

Master's Theses

Racket is a modern, general-purpose programming language with a language-oriented focus. To date, Racket has found notable uses in research and education, among other applications. To expand the reach of the language, there has been a desire to develop an efficient platform for running Racket in a web-based environment. WebAssembly (Wasm) is a binary executable format for a stack-based virtual machine designed to provide a fast, efficient, and secure execution environment for code on the web. Wasm is primarily intended to be a compiler target for higher-level languages. Providing Wasm support for the Racket project may be a promising way …

Analyzing Tortuosity In Patterns Formed By Colonies Of Embryonic Stem Cells Using Topological Data Analysis, Jackie Driscoll

Master's Theses

Pluripotent stem cells have been observed to segregate into Turing-like patterns during the early stages of Dox-inducible hiPSC differentiation. In this thesis, we de- velop a tool to quantify the tortuosity in the patterns formed by colonies of pluripo- tent stem cells using methods from topological data analysis. We use clustering techniques and the mapper algorithm to create simplicial complexes representing samples of cells and detail a method of evaluating the tortuosity of these complexes. We use the resulting persistence landscapes and their associated norms to evaluate experimental data and simulated data from an agent based model. This thesis finds …

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 …

Neural Compression Inference Accelerator: A Cost And Energy-Effective Alternative To Conventional Machine Learning Inference Methods, Matthew Wallace

Master's Theses

Recent developments in machine learning and artificial intelligence have sparked an influx of workloads that require specialized computer hardware for cloud services. The hardware running machine learning models predominantly consists of graphics processing units (GPUs) and tensor processing units (TPUs). However, these com- ponents are expensive for cloud services to purchase, costly for customers to rent, prone to price spikes, and energy-intensive. In this research we show that both cloud services and customers would benefit from utilizing field programmable gate arrays (FPGAs) to alleviate the aforementioned challenges. An FPGA can be configured as a machine learning accelerator, operating similarly to …

California's Native Trees And Their Use In The Urban Environment, Camille Pawlak, Natalie Love, Jennifer Yost, Andrew Fricker, Jacqueline Doremus, Matthew Ritter

Master's Theses

California’s urban forest is composed of both native and non-native species. These trees improve the quality of life of urban residents and mitigate the effects of climate change by buffering local microclimates. A species’ native status is often defined at the scale of the state’s political boundaries, which doesn’t reflect its actual native range. Here we define the list of 95 tree species native to California, create digital range maps for each species, provide native species lists for every city in California, and analyze trends in native tree species in the state’s urban areas. We found that California’s urban areas …

Solving The Cable Equation, A Second-Order Time Dependent Pde For Non-Ideal Cables With Action Potentials In The Mammalian Brain Using Kss Methods, Nirmohi Charbe

Master's Theses

In this thesis we shall perform the comparisons of a Krylov Subspace Spectral method with Forward Euler, Backward Euler and Crank-Nicolson to solve the Cable Equation. The Cable Equation measures action potentials in axons in a mammalian brain treated as an ideal cable in the first part of the study. We shall subject this problem to the further assumption of a non-ideal cable. Assume a non-uniform cross section area along the longitudinal axis. At the present time, the effects of torsion, curvature and material capacitance are ignored. There is particular interest to generalize the application of the PDEs including and …

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, …

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 …

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.

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 …

The Effect Of Adding Mango To A Breakfast Meal On Glycemic And Satiety Responses And Next Meal Energy Consumption, Natalie R. Ramos

Master's Theses

Spikes in blood glucose (BG) result in adverse health consequences in people with and without diabetes. This study aimed to compare the BG and satiety responses of adding mango or sugar to a high glycemic load (HGL) breakfast. A randomized, controlled trial (cross-over design) was conducted with 18 participants. Participants consumed cornflakes and almond milk (Control), control plus 34gm added sugar (ASug), or added mango (AMango) with 34gm carbohydrate. BG was determined at fasting, 15, 30, 60, 90, 120min postprandial; satiety was rated with a visual analog scale at each time point. At 120min, subjects consumed a snack of hummus …

Investigation Of Placement Of Polyethylenimine Within Thin Film Composite Reverse Osmosis Membranes For Enhanced Anti-Fouling Properties, Taylor F. Austin

Master's Theses

Fresh water scarcity is an alarming issue for communities across the globe. The development of water recycling and reuse technologies has become crucial in expanding the limited water resources. Reverse osmosis (RO) is among the key processes that can treat wastewater to meet potable water reuse standards. Despite the advancements in RO membrane technologies, many challenges persist regarding the operation and maintenance of RO membranes, such as membrane fouling. Extensive research investigations have focused on developing RO membrane modifications to combat the decreased performance due to fouling. Polyethylenimine (PEI) is a promising polymer used for enhancing the anti-fouling properties of …

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) …

Southern Sea Otter (Enhydra Lutris Nereis) Fur Morphology, Thermal Function, And Buoyancy Across Ontogeny, Kate Riordan

Master's Theses

Sea otters (Enhydra lutris) have the densest fur of any animal, and the hairs function to trap a layer of air that is used for insulation. When a sea otter is born, it has a natal pelage (baby fur), and sea otters eventually molt that fur and replace it with a pelt resembling the adult fur. Sea otter fur is composed of 3 types of hairs: underhairs, intermediate hairs, and guard hairs. Sea otters are more susceptible to the negative effects of oiling from oil spills compared to other marine mammal species because they solely rely on fur …

Class F Power Amplifier And Doherty Power Amplifier Design, Shreyansh Suman

Master's Theses

The main goal of this thesis is to design and fabricate a power amplifier suitable for entry in IMS 2023 High Efficiency Power Amplifier Student Design Competition. Power amplifier design requires multiple design tradeoffs, for example, efficiency and linearity are the two main conflicting design parameters that require careful tradeoff to ensure optimum performance. Two prototypes are designed and fabricated for the competition: Class F operating at 1.5 GHz and Doherty Power Amplifier designed for an operating frequency of 3 GHz. Both prototypes meet the minimum requirement for qualifying in the IMS 2023 HEPA SDC. Class F power amplifier designed …

Distributed Control Of Servicing Satellite Fleet Using Horizon Simulation Framework, Scott Plantenga

Master's Theses

On-orbit satellite servicing is critical to maximizing space utilization and sustainability and is of growing interest for commercial, civil, and defense applications. Reliance on astronauts or anchored robotic arms for the servicing of next-generation large, complex space structures operating beyond Low Earth Orbit is impractical. Substantial literature has investigated the mission design and analysis of robotic servicing missions that utilize a single servicing satellite to approach and service a single target satellite. This motivates the present research to investigate a fleet of servicing satellites performing several operations for a large, central space structure.

This research leverages a distributed control approach, …

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 …

Reconstructing Identity: Carlton Burgan, Patient Zero In The Development Of Plastic Surgery, Civil War Through World War I, Teresa M. George

Master's Theses

Plastic surgery has played an integral role in helping people achieve societal expectations of appropriate physical appearance since its inception. Through the story of Carlton Burgan, a Union soldier during the American Civil War, who suffered severe facial trauma by mercury poisoning, this thesis hopes to reconstruct the conversation around plastic surgery’s origins as it is influenced by societal standards of the day. Specifically, this thesis argues that the seminal moments leading to plastic surgery being seen as a worthwhile medical specialty was during the Civil War, not World War I as so many scholars have put forth. Violent acts …

The Temporal Evaluation Of Mouthfeel And Retronasal Sensations In Red Wines From The Central Coast Of California, Emily S. Stoffel

Master's Theses

Time-based sensory analysis techniques capture the dynamic retronasal and mouthfeel sensations in wines. It is important to understand how common winemaking practices and popular varietals impact the retronasal and mouthfeel profile as consumers tend to judge wine quality based on the taste, flavor, and mouthfeel of a wine. Three time-based sensory analysis methods were utilized with the objective to understand the effect of five commonly applied winemaking techniques (blending, varietal choice, fermentation temperature, cap management, and stem addition) on the dynamic retronasal and mouthfeel profile of six different varietals (Merlot, Malbec, Petite Sirah, Pinot noir, Grenache, and Tannat) grown on …

Marine Protected Areas And Oceanographic Variability: Impacts On Blue Rockfish (Sebastes Mystinus) And The Human Dimensions Of Collaborative Fisheries Research, Erin M. Johnston

Master's Theses

Fishing pressure and environmental variability are two of the most impactful drivers of fish populations worldwide. It is critical to effective management to understand the intersection between the two and how each may affect fish population dynamics, especially for exploited nearshore species like rockfishes (Sebastes spp.). This is especially true as models indicate that global climate change will dramatically increase the frequency and severity of large-scale oceanographic perturbations. We were interested in whether we could detect changes in relative abundance of nearshore rockfishes relative to large-scale oceanographic events using a broad-scale index like the Multivariate Ocean Climate Indicator …

Solving Supersonic Flows Using The Method Of Integral Relations In Python, Eddie Hsieh

Master's Theses

This thesis presents a modern approach to the Method of Integral Relations implemented in the Python programming language. This work is based on South's reports on solving supersonic conical flows and Belotserkovskii's publications on solving supersonic flows over blunt bodies. The Python SciPy library is extensively used in this thesis. A root finder module is used to perform South's solution process, and the Runge-Kutta ODE solver with dense output is implemented to replicate Belotserkovskii's solution process. The implementation of Python makes the development efficient and serves as an open-source framework for future work to build on. This work focuses on …

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 …