Digital Commons Network^™

Lichens Of Ultramafic Rocks: A Multidisciplinary Approach To Understanding The Ecology Of An Understudied Organism In A Well-Studied System, Michael Mulroy

Master's Theses

Lichens are among the most prominent and successful life forms of metal-rich habitats, including ultramafic rocks and soils; however, research on lichens of ultramafic habitats is limited, especially on the North American continent. A review of the published literature on lichens of ultramafic substrates in North America yielded a total of 437 lichen species reported from ultramafic rocks and soils. Lichen assemblages of ultramafic substrates vary in composition and are dominated by acidophytic (low pH preferring) taxa with a minor, but consistent, basiphytic (high pH preferring) component. Species lists from ultramafic habitats in different geographic regions varied widely, suggesting that …

Efficacy Of Biofungicides And Their Application Timing In Managing Botrytis Bunch Rot Of Wine Grape, Marco A. Fernandez

Master's Theses

Botrytis bunch rot (BBR), caused by Botrytis cinerea, leads to a severe reduction of quality and yield in wine grapes (Vitis vinifera). A field study to determine the best BBR management strategy was conducted in 2021 and 2022 in Santa Maria, CA using ‘Chardonnay’, a BBR susceptible wine grape cultivar. Three biofungicides were evaluated: Actinovate® AG, Regalia®, and Serenade® ASO. The efficacy of these three biofungicides was compared with fungicide programs composed of commonly used synthetic fungicide(s) or combinations of commonly used synthetic and biofungicides. For each biofungicide, three application timings were evaluated: 7-day interval, 14-day interval, and by an …

The Implications Of Sexual Assault Awareness On Sexual Overperception Bias, Zach Buckner

Master's Theses

Heterogeneity has recently emerged in research investigating men’s overperceptions of women’s sexual receptivity, namely that such overperceptions are less robust than previously considered. Various social movements (e.g., #MeToo) could be a modern-day contextual factor that has reduced men’s tendency toward overperception. In this study, participants viewed hypothetical information regarding sexual assault perpetration committed by men or women (or control information) before rating opposite-sex targets on perceived sexual interest in them and reporting individual differences in just and dangerous world. The results indicate that individuals who hold stronger beliefs in an unjust world are more sensitive to perceived threats from potential …

I Was Looking For God: A Study Of Wehrmacht Personnel And Their Personal Relationships With Religion, Christopher Bishop

Master's Theses

The Wehrmacht was Germany’s fighting force in the field during World War II. Its brutality and discriminatory practices rivaled that of the Nazi paramilitary and police units dispatched alongside them in newly conquered areas during this conflict. Coming from a society that was not at all unfamiliar with Christianity, some within the Wehrmacht related to Christianity in some form and attempted to use it to either justify actions or make sense of the world around them.

While considerable scholarship exists on the Nazi Party’s relationship to Christianity as a convenient propaganda tool for both soldier and civilian alike, the historiography …

Heat Flux Dynamics And Seasonal Variability In Morro Bay, California, Mikaela Romanini

Master's Theses

There is a growing need to better understand the dynamics of small and medium Mediterranean low-inflow estuaries (LIEs), which is addressed here by characterizing a heat budget and associated heat transfer processes. A one-dimensional deterministic model was developed from the advection-diffusion equation and applied to Morro Bay, CA using 15-minute water property (temperature, salinity, pressure) and meteorological (wind speed and direction, air temperature, relative humidity, air pressure, irradiance) data collected over a two-year period (2020 – 2021). Seasonal variability is observed in meteorological components, water temperature, and salinity. There is strong seasonal variability in head-mouth temperature and salinity differences. Temperature …

Time-Domain Evaluation Of Atmospheric Ducting Effects On X-Band Propagation Over Water, Jack A. Gallegos

Master's Theses

The marine atmospheric boundary layer (MABL) is the region of atmosphere that interacts with the ocean surface. The atmospheric variability (i.e. temperature and relative humidity) in this region can result in rapid changes in the refractive index with increasing height from the sea surface. The complex region can result in non-standard propagation of electromagnetic (EM) waves beyond the horizon under atmospheric ducting conditions. However, when ducting layers are not present, EM waves are limited to line-of-sight transmission. Atmospheric ducting research is typically conducted using radio frequencies in the X-band (around 8-12 GHz) due to its impact on performance of marine …

Reinforcement Learning Framework For The Unreal Engine, Justin B. Wheeler

Master's Theses

This dissertation addresses the need for using machine learning-based methods rather than traditional rule-based methods for controlling non-playable characters (NPCs). The goal of the Reinforcement Learning Framework for the Unreal Engine is to enable game development studios to create, train, and more easily implement smarter, more compelling AI characters in major video game releases. The framework contains three distinct software libraries: an Unreal Engine reinforcement learning library whose purpose is to enable Unreal Engine levels to act as reinforcement learning environments, a python library which provides convenient abstractions and implementations to the reinforcement learning process, and a flexible connection system …

Racketframes: A Dataframe Implementation For The Racket Programming Language, Shubham Kahal

Master's Theses

The DataFrame is a powerful table-like data structure used frequently in Data Science, the in-demand and innovative field focused on the extraction of valuable insights from data. Typically, datasets are not perfect upon collection and need to be prepared so that the resulting dataset is useful for statistical analysis. A DataFrame API supports optimized methods such as, selecting, aggregating and filtering rows, columns, and cells as well as renaming row and column labels. It also supports methods for normalizing data, merging data, adding new columns and labelling missing data among numerous other features. An API to work with tabular data …

Modeling Daily Fantasy Basketball, Martin Jiang

Master's Theses

Daily fantasy basketball presents interesting problems to researchers due to the extensive amounts of data that needs to be explored when trying to predict player performance. A large amount of this data can be noisy due to the variance within the sport of basketball. Because of this, a high degree of skill is required to consistently win in daily fantasy basketball contests. On any given day, users are challenged to predict how players will perform and create a lineup of the eight best players under fixed salary and positional requirements. In this thesis, we present a tool to assist daily …

Exploration Of Semi-Supervised Learning For Convolutional Neural Networks, Nicholas Sheffler

Master's Theses

Training a neural network requires a large amount of labeled data that has to be created by either human annotation or by very specifically created methods. Currently, there is a vast abundance of unlabeled data that is neglected sitting on servers, hard drives, websites, etc. These untapped data sources serve as the inspiration for this paper.

The goal of this thesis is to explore and test various methods of semi-supervised learning (SSL) for convolutional neural networks (CNN). These methods will be analyzed and evaluated based on their accuracy on a test set of data. Since this particular neural network will …

Psf Sampling In Fluorescence Image Deconvolution, Eric A. Inman

Master's Theses

All microscope imaging is largely affected by inherent resolution limitations because of out-of-focus light and diffraction effects. The traditional approach to restoring the image resolution is to use a deconvolution algorithm to “invert” the effect of convolving the volume with the point spread function. However, these algorithms fall short in several areas such as noise amplification and stopping criterion. In this paper, we try to reconstruct an explicit volumetric representation of the fluorescence density in the sample and fit a neural network to the target z-stack to properly minimize a reconstruction cost function for an optimal result. Additionally, we do …

Analysis And Usage Of Natural Language Features In Success Prediction Of Legislative Testimonies, Marine Cossoul

Master's Theses

Committee meetings are a fundamental part of the legislative process in which
constituents, lobbyists, and legislators alike can speak on proposed bills at the
local and state level. Oftentimes, unspoken “rules” or standards are at play in
political processes that can influence the trajectory of a bill, leaving constituents
without a political background at an inherent disadvantage when engaging with
the legislative process. The work done in this thesis aims to explore the extent to
which the language and phraseology of a general public testimony can influence a
vote, and examine how this information can be used to promote civic …

Trajectory-Tracking Control Of The Ball-And-Plate System, Dominic E. Riccoboni

Master's Theses

The Mechatronics group in the Mechanical Engineering department of Cal Poly is interested in creating a demonstration of a ball-and-plate trajectory tracking controller on hardware. The display piece will serve to inspire engineering students to pursue Mechatronics and control theory as an area of study. The ball-and-plate system is open-loop unstable, underactuated, and has complicated, nonlinear equations of motion. These features present substantial challenges for control - especially if the objective is trajectory tracking. Because the system is underactuated, common nonlinear trajectory tracking control techniques are ineffective. This thesis lays out a theoretical foundation for controlling the hardware.

Several important …

Simple Open-Source Formal Verification Of Industrial Programs, Christopher Disney Peterson

Master's Theses

Industrial programs written on Programmable Logic Controllers (PLCs) have become an essential component of many modern industries, including automotive, aerospace, manufacturing, infrastructure, and even amusement parks. As these safety-critical systems become larger and more complex, ensuring their continuous error-free operation has become a significant and important challenge. Formal methods are a potential solution to this issue but have traditionally required substantial time and expertise to deploy. This usability issue is compounded by the fact that PLCs are highly proprietary and have substantial licensing costs, making it difficult to learn about or deploy formal methods on them.

This thesis presents the …

The Vertic Clay Flora Of The San Joaquin Desert: Niche, Competition & Floral Mosaics On A Novel Substrate, Emma R. Fryer

Master's Theses

Plant communities that occur on edaphically heterogeneous landscapes are ideal systems for exploring questions of niche and community assembly. Species with affinity for harsh substrates often have well-defined edaphic niches and are ideal models for testing ecological and evolutionary theory. While plants on substrates such as serpentine and gypsum have received much attention, those on other harsh substrates, including on vertic clay soils, have gone unstudied. Vertic clay soils are both chemically and physically challenging to plant establishment and productivity. Plant communities associated with vertic clay soils of the San Joaquin Desert appear to have a distinctive mosaic pattern of …

Structural Design, Modeling, And Analysis Of The Wing For A World Speed Record-Breaking Turbo-Prop Racing Airplane, Joseph C. Hammond

Master's Theses

The Cal Poly SLO Turbo-Prop Racer (TP Racer) is a vehicle in development with the goal to break the world record for fastest turbo-prop aircraft measured over a 3-kilometer strip. This thesis presents the structural design, modeling, and analysis of the wing of Cal Poly SLO TP Racer. Methodology behind analyzing the wing is presented through finite element modeling elements and a mesh study. This is followed by development of structure through geometry and laminate estimations. The wing structure estimates and loading conditions are then modeled in FEMAP. Initial estimates are analyzed and reviewed – overbuilt, underbuilt, and incorrectly modeled …

Our Pearls Matter: Pcos Through The Lens Of Women Of Color And White Women, Kimberley Sheri Miles

Master's Theses

The prevalence of PCOS is increasing and due to the associated health complications, it is important to understand how higher-risk populations (women of color) cope with said condition. Analyzing current symptom management and treatment could help develop more practical resources and treatment strategies to help improve healthcare expectations and quality of life.

Ten women aged 22-38 with PCOS participated in comprehensive individual interviews with goal-oriented, semi-structured questions. A 27-question survey was also completed. Sampling was continued until data saturation was reached. The data was analyzed using the grounded theory technique which codes emergent themes with keywords and phrases which ultimately …

Finding The Middle Zone; Redefining Spirituality Through Contemporary American Literature, Mickey Mcpoland

Master's Theses

In this essay, I investigate the intersection of post-postmodern literature and postsecular thought. I examine Jonathan Franzen’s novel Crossroads (2022) as a means to examine a religious conception of goodness and how goodness becomes rooted in what we worship. I also look to Infinite Jest and “Good People” by David Foster Wallace. The latter illuminates the conflict between traditional forms of worship and contemporary calls to worship one’s own desires, which results in stagnation, frigidity, and indecisiveness. Characters follow their internal compass, which leads them only further away from a sense of stability. Franzen’s work shows what replaces traditional religious …

Examining The Effect Of Positive Greetings At The Door On Student Academic Engagement And Disruptive Behavior, Abigail Lawson

Master's Theses

Positive Greetings at the Door (PGD) is a proactive classroom management strategy designed to assist students’ transitioning from a non-academic environment (e.g., physical education, lunch, hallway) to an academic environment (e.g., classroom instruction). PGD can prepare students to engage in academic behavior (e.g., sitting in seat, working on-tasks) and avoid engaging in nonacademic/disruptive behavior, thereby delaying the start of classroom instruction. Such disruptive behavior can lead to teacher frustration, which may contribute to a negative classroom environment. The current study used a concurrent multiple baseline design to assess the effects of PGD (Cook et al., 2018) on academically engaged behavior …

A New Fire Initialization Method For Operational Coupled Fire-Atmosphere Models: Assimilation Of Infrared Perimeters And Satellite Detections, Kathleen Nicole Clough

Master's Theses

For coupled fire-atmosphere forecast models, such as WRF-SFIRE, the method used to initialize wildfire within the model can greatly impact meteorological, fire, and smoke extent forecasts. A well-constructed ignition process must be integrated within models to assure the atmospheric component of the model is not destabilized by excessive heat flux released during ignition and realistic fire-induced atmospheric circulation is established. Two ignition methods are tested on the 2020 Creek fire. Analyses indicate a gradual perimeter ignition with selective “masking”, fuel removal, provides the best results in terms of resolving the fire-induced vertical circulation and fire spread, and is thus preferred …

Trophic Ecology And Mercury Concentrations Of Canary Rockfish (Sebastes Pinniger) In The California Current System, Michaela M. Melanson

Master's Theses

Canary rockfish are a profitable fishery resource that has failed and successfully recovered in the 21st century. This study aimed to evaluate their trophic ecology through stomach content and stable isotope analysis and relate these to their mercury concentrations, biological traits, and environmental conditions. Canary rockfish consume mostly krill and teleosts with their geographic location affecting the proportion of prey items, suggesting regional environmental effects: chlorophyll-a, relief, port, and depth impact dietary choices. Mean ??13C values (-17.18 ± 0.54) significantly increased in individuals residing in deeper depths, higher latitudes, higher productivity, and higher temperatures, and in sexually mature individuals. Mean …

Evaluating The Effect Of Resveratrol On Sirt1 With Different Peptide Substrates, Yujin Hur

Master's Theses

SIRT1 is an NAD+-dependent lysine deacetylase that is involved in many important cellular pathways. The protein has an extended N-terminal domain that seems to play a role in regulating its activity. Sirtuin Activating Compounds (STACs) are allosteric activators, such as resveratrol, that regulate the activity of SIRT1. STACs bind to the N-terminal STAC Binding Domain (SBD) in SIRT1. Past literature has found that SIRT1 activity can be increased, decreased, or remain unchanged by resveratrol depending on the identity of the peptide substrate. The goal of this study is to clarify the mechanism for substrate-specific allosteric regulation by resveratrol. The interactions …

Reconstructing Auditory Evoked Cortical Response With Fewer Trials, Zoey Y. Zhang

Master's Theses

Auditory evoked fields (AEF) paradigm is a common research tool to study human auditory responses by using Magnetoencephalography (MEG), a neuroimaging tool. AEF paradigm requires repetition over many trials to achieve adequate signal-to-noise ratio (SNR), but Autistic children and some other populations cannot tolerate prolonged exam time due to various reasons. To address these challenges, this project uses a novel machine learning algorithm, Champagne with baseline noise learning, to reconstruct AEF data with fewer trials (80%, 60%, 40%, 20%) but produce the same results as using all AEF trials (100%). The results show that this novel machine learning algorithm can …

Homelessness And Taphonomy: A Multidisciplinary Study, Chloë Angst

Master's Theses

In this thesis, I present multidisciplinary research applicable to deceased unhoused individuals in urban San José, California. I present the problem of homelessness through a “hybrid collectif,” a conceptual framework that encompasses the factors that drive homelessness in life and death. I use taphonomic methodology to examine the problem of homelessness in this urban region by experimentation with porcine carcasses in simulated death scenarios. I utilize total body score (TBS), accumulated degree days (ADD), and predictive entomological species identification to examine decomposition trends. I also introduce “human survival scavenging” as an agent of decomposition, provide an account of ecological succession …

An Analysis Of Fire-Induced Conditions During Large Wildfires And Within Steep Canyons, Justin Mirabilis Haw

Master's Theses

For this study, fire-induced winds from a wind-driven fire (Thomas Fire) and a plume dominated fire (Creek Fire) were analyzed. Then, the small-scale fire-induced circulations within steep canyons were examined. This study used two different WRF-SFIRE simulations, one without the fire present, and the other with fire. The fire-induced conditions were calculated by subtracting a given variable from the “No Fire Run” from the “Fire Run” (Fire - No Fire). Wind speed and geopotential height fields were analyzed to assess spatial and temporal variability. Furthermore, cloud water mixing ratio, precipitation, and fuel moisture were analyzed for the Creek Fire to …

Accident Prediction On E-Bikes Using Computer Vision, Rohith Puvvala Subramanyam

Master's Theses

Micro Mobility refers to small, confined pace range, and lightweight modes oftransportation, which include e-Bikes and e-Scooters. Micro Mobility riders are prone to harm and deadly injuries on city streets. Statistics show that on average 27 out of 82 (33%) humans, in the United States get injured every day in e-motorcycle injuries, which is rapidly increasing as compared to previous years. The current accident prediction strategies have been rather technically complicated to be incorporated onto micromobility vehicles which are lighter in weight and smaller in size. Current strategies bring key challenges to light. First, as micro-mobility vehicles are small and …

You’Re Dying Up There, Ryan H. Smith

Master's Theses

YOU’RE DYING UP THERE is a feature-length dramatic screenplay about Bob Nash, a struggling stand-up comedian, whose sole focus, after discovering he has stage IV lung cancer, becomes headlining The Comedy Store in Los Angeles. This feature length dramatic screenplay serves as a meditation for how to write an anti-hero, as well as an exploration of the emotional depths of the traditional harlequin role. By stripping away much of the joke-heavy presence that the main character resides in as a public persona, the audience can explore both the depression he experiences and the loathsome qualities he possesses. Nash convinces his …

Spatiotemporal Dynamics And Biogeochemical Responses In A Tidally Restricted Moro Cojo Slough, Ryan Chiu

Master's Theses

Four years of observational data for Moro Cojo Slough (MCS), a Mediterranean climate estuary in central California, linked anthropogenic nutrient loading and hydrological modifications to a shift in net ecosystem metabolism (NEM) that differs from the characteristic net heterotrophic behavior of most estuarine systems. A lack of precipitation and limited flushing during the dry seasons, as evidenced from hypersaline waters, contribute to high ecosystem respiration rates that drove NEM to nearly balanced or net autotrophic. During the wet seasons, increased runoff and nutrient loading due to precipitation elevated primary production rates within MCS, characterizing the system as net autotrophic. Box …

Deep Learning In Ai Medical Imaging For Stroke Diagnosis, James Mario Guzman

Master's Theses

Enhancing medical imaging stroke diagnosis applications with artificial intelligence (AI) tools to determine lesion volume, location and clinical metadata is vital toward guiding patient treatment and procedure. A major hardship in developing stroke diagnosis AI tools is the scarcity of publicly available clinical 3D stroke datasets. Through working with Johns Hopkins University, University of Michigan’s ICPSR data repository and SJSU research, we gained access to potentially the largest 3D MRI stroke dataset with clinical metadata annotated by neuroradiologists known as ICPSR 38464. With the ICPSR 38464 dataset recently being available through institutional review board (IRB) approval or exemption, we were …

Cirrus Microphysical Properties And The Controlling Factors Using A Machine Learning Approach, Derek D. Ngo

Master's Theses

Cirrus clouds are located at high altitudes and are composed of ice crystals. The unique location of cirrus clouds and their large variability in-cloud microphysical properties allow them to have either warming or cooling effects on Earth’s surface and affect the Earth’s energy budget on a global scale. The examination of cirrus radiative effects is further complicated by multiple factors affecting their formation and evolution, including the effects of thermodynamic, dynamic, aerosol, and chemical tracer variables. In this work, we developed a composite aircraft-based in-situ observation dataset based on seven National Science Foundation (NSF) and five NASA flight campaigns that …