Digital Commons Network^™

Ml Model To Better Identify Instances Of Bullying Faced By Members Of The Lgbtq+ Community, Arslan Bisharat

Master's Theses

Cyberbullying poses a significant threat to online communities, with the LGBTQ+ community facing disproportionately higher rates of harassment. While existing cyberbullying detection systems have made progress in identifying general instances of online harassment, they often fail to capture the nuanced and context-dependent nature of LGBTQ+-targeted bullying. This thesis presents a novel approach to this challenge by developing SpectrumNet, an LGBTQ+-centric transformer-based model for cyberbullying detection. Our research was conducted in two phases. In Phase 1, we evaluated the effectiveness of pre-trained transformer models (RoBERTa, BERT, and GPT-2) in identifying LGBTQ+-related cyberbullying. Building on these findings, Phase 2 introduced SpectrumNet which …

The Influence Of Maternal Size/Age Effects On The Physiological Responses Of Adult Female Gopher Rockfish (Sebastes Carnatus) To Ocean Acidification And Hypoxia, Dylan H. Sarish

Master's Theses

Climate change is rapidly reshaping the chemistry of the ocean. Fishes living in California coastal waters are experiencing increased ocean acidification and hypoxia (OAH) due to more frequent and intense upwelling. Nearshore rockfish may be particularly threatened by these conditions due to their long generational times. However, it is unknown how OAH may impact maternal physiology and reproduction in these viviparous fish. To understand the physiological effects of OAH during gestation, adult female gopher rockfish, Sebastes carnatus, were exposed to a variety of combined OAH stress treatments during different gestational stages. Routine metabolic rate (RMR), maximum metabolic rate (MMR), blood …

The Radical Oxidation Of Hydroxyacetone: An Insight Into The Reaction Mechanism And Potential Tetraoxide Intermediates, Edward Buck

Master's Theses

This thesis presents the reaction of hydroxyacetone, a common volatile organic compound (VOC), with chlorine radicals in the presence of oxygen. Chapter one explores VOCs and their specific reactions and how tetraoxide intermediates could be formed from them. Chapter two analyses the experimental and computational methods used and the key theoretical concepts behind these methods. Experimental data was collected using multiplexed photoionization mass spectrometry at the Advanced Light Source Chemical Transformations Beamline, Lawrence Berkeley National laboratory. This data is combined with theoretical data using the CBS-QB3 composite method to determine the key reaction intermediates and mechanisms.

The main chapter of …

Connecting Through Screens: A Case Study On Student Engagement In Online Esol Classes In The Post Pandemic Era, Meral Kacar

Master's Theses

The sudden shift to emergency online education during the global pandemic affected various academic fields, including English language teaching. While many schools faced challenges, some successfully implemented online educational programs. Despite the large impact of the global pandemic on education, there is limited research that examines the effectiveness of online ESOL programs with a focus on the key factors that contribute to student engagement. This thesis explores the factors contributing to effective online ESOL instruction, focusing on fostering engagement and improving teaching practices in the post-pandemic era. The study for this thesis employs an instrumental case study methodology, focusing on …

Closed Domain Question Answering With Language Models: Application Of Retrieval-Augmented Generation And Parameter Efficient Fine-Tuning In Healthcare, Aaron Cummings

Master's Theses

Dementia care presents significant challenges for informal caregivers, particularly in managing behavioral symptoms that affect over 90% of individuals with Alzheimer’s Disease and Related Dementias (ADRD) during the moderate-to-severe stages. These symptoms, including agitation, wandering, and repetitive activities, impose emotional and physical burdens on caregivers, often exacerbated by a lack of reliable, accessible, and personalized resources. Non-pharmacological interventions, while evidence-based, are underutilized due to knowledge gaps and the inefficiency of traditional training and information retrieval methods.

This research explores the adaptation of large language models (LLMs) to address these challenges by developing a framework for closed-domain Question Answering (QA) systems, …

Design, Synthesis, And Nmr-Guided Characterization Of A Targeted Covalent Inhibitor-Like Molecule Against Ivyp1 From P. Aeruginosa, Samuel Taylor Moore

Master's Theses

Multi-drug resistance poses a serious threat to future generations and historical antibiotic pipelines; consequently, the medical and economic burdens associated with treating multidrug-resistant bacteria are substantiated. In this context, P. aeruginosa (PA) emerges as one of the most significant healthcare challenges, being a leading cause of resistance-associated mortality worldwide. Despite modern efforts to combat these poor outcomes, drug-resistant cases continue to rise, and the need for novel antibiotic treatment is apparent. To this end, we investigated relevant resistance mechanisms and past antibiotic targets within PA, and in doing so, we identified relationships between peptidoglycan biology and a periplasmic protein, Inhibitor …

Design And Testing Of A Prototype Prosthesis For Pediatric Upper-Limb Transradial Amputees To Provide Adjustable Size And Modular Characteristics, Paul Heli

Master's Theses

This study was conducted to develop a financially accessible body-powered upper-limb prosthetic socket that can be adjusted to maintain fit and function for a growing child with a transradial amputation. The main objectives of the study were to design, manufacture, and test a device that was comfortable, functional, affordable, and adjustable. The socket was designed to be comfortable using global variables controlling the computer-aided design (CAD) model size with user-specific measurements. Comfort was also incorporated using shape-forming of the socket for specific residual limb features. The device was designed to perform the two main functions of suspension, or attachment to …

Perceptual Hash Based Content Matching, Nicholas Daniel Chenevey

Master's Theses

The proliferation of video content and AI generated imagery has introduced a number of new challenges in content identification and verification. The ability to trace content back to its source has become a critical problem as video content increases both naturally and synthetically through AI generation. This thesis provides the design, analysis, and experimental verification for a perceptual hash based framework aimed at addressing these challenges. Perceptual hashing is a method for encoding the visual content of images into compact and easily comparable binary strings. This process is used as the foundation for content matching in videos and source verification …

The Integration And Validation Of A Class 3b Laser For Stereo Particle Imaging Velocimetry, Jensen Lam

Master's Theses

Particle Imaging Velocimetry (PIV) is a laser flow diagnostic measurement technique used to measure spatial and temporal velocity fields. In an effort to promote experimental aerodynamic research, specifically an entry point for students to learn Particle Imaging Velocimetry, an in-house Class 3B laser PIV system was developed and its experimental results were verified with a Class 4 laser. Both systems were integrated on the Cal Poly Water Tunnel Laboratory. The work emphasizes the application of lasers controlled by a micro-controller to perform microsecond-based pulses and integrating a newly-developed device with an old system consisting of software, cameras, and synchronizers. The …

An Investigation Into The Use Of Amateur Astronomy Equipment For Optical Orbit Determination Using A Mobile Telescope Platform, Johan C. Govaars

Master's Theses

The process of optical orbit determination has long been in the domain of large organizations and stationary observatories with highly specialized scientific equipment. This thesis seeks to determine not only if satellites can be captured regularly using purely commercial-off-the-shelf (COTS) equipment, but also if initial orbit determinations can be made using that data. Moreover, the use of a mobile telescope platform allows users to circumvent the restrictions of fixed observatories such as low horizon viewing restrictions or existing light pollution.

A completely COTS setup was utilized that included an 8-inch Celestron NextStar 8SE telescope with an f/6.3 focal reducer and …

Generating A Novel Legislator Organization Score, Brandon Lin

Master's Theses

Ever since the 2010 Citizens United v. FEC, corporations and organizations have been able to contribute expenditures and resources into political legislators and campaigns. It has become apparent over the years that organizations can excise significant influence in direct ways to influence campaigns across the United States. During this period, Digital Democracy has collected large amounts of data pertaining to legislative bill information, voting patterns, and donations on behalf of the California public to raise awareness. Digital Democracy has also released its own scoring system that compares the amount of aligning votes between a legislator and an organization. However, this …

Cross-Training Effects: The Impact Of Ballet Instruction On Athletes' Physical Attributes And Performance, Erin Lane

Master's Theses

This thesis, titled "Cross-Training Effects: The Impact of Ballet Instruction on Athletes' Physical Attributes and Performance," investigates the influence of ballet training on the physical attributes and overall performance of athletes across various sports. Recognizing the historical use of ballet to enhance flexibility, strength, balance, and precision in its own training, this study focuses on the examination of the effects of ballet as a cross-training method. By employing a mixed-methods research design, the study involved 11 female participants from diverse athletic backgrounds who engaged in structured ballet instruction over six weeks. Quantitative assessments measured changes in flexibility, balance, speed, and …

Exploring The Impact Of Using Mirrors Versus Not Using Mirrors In An Intermediate High School Dance Class, Melanie Monnich

Master's Theses

The purpose of the study was to understand the use of mirrors vs. not using mirrors in the high school classroom. This thesis also expanded on research done in the last twenty years regarding students' relationship to the mirror and how educators could better use or not use the mirror in the classroom. The researcher asked five essential questions that guided this thesis:

Q1 How does using mirrors vs. not using mirrors affect a student's body image in a high school dance class?

Q2 Is it necessary to always use mirrors in the classroom as a learning tool for students? …

Crafting Affective Engagement: The Impact Of Choreography And Design Choices On Audience's Emotional Experience In Dance Performances, Amy Morton

Master's Theses

This thesis explored how the engagement level of dance spectators influenced the lasting impressions they retain from a performance and whether these impressions can expand and sustain audience interest in dance. The purpose of the study was to identify the most engaging elements of an aerial dance concert. The study emphasized the significance of creating choreography that evokes emotional responses to advocate for dance education, community engagement, and the preservation of the art form. By examining a site-specific aerial dance concert, this research identified the elements that captivated audiences, particularly the contrast between aerial and ground-based performances.

The research addressed …

Social Justice In Dance: The Exploration Of Dance As A Tool For Promoting, Recognizing And Influencing Change, Michelle O'Konis Linnehan

Master's Theses

The purpose of this study was to prove that dance could be used as a platform for representation and to foster change within the community and beyond. This purpose aligned with the goal, which was to measure the impact of a structured choreographic curriculum on student engagement with social justice topics. The goal of this study was to answer the following research questions:

Q1 Can dance be a tool in promoting social justice?

Q2 How will students in the classroom respond to an integrated social justice theme through dance and production components?

Q3 How will these topics be interpreted to …

Counting Catalan: An Experimental Evaluation Of The Mixing Time For The Triangulation Markov Chain, Roy Gotlieb

Master's Theses

Monte Carlo Markov chains (MCMCs) are used in many areas as a way to model a system’s behavior. By running a probabilistic simulation on a system’s state space, we can estimate properties of the system that could be untenable to directly compute. It is of interest to determine how quickly a Markov chain mixes\textemdash that is, settles into its stationary distribution. One such chain is induced by taking a binary search tree and performing a rotation or flip on one of its edges. We know that this chain eventually settles into the uniform distribution, but the time complexity bounds on …

Ephemeral Legacy, Allison Hall

Master's Theses

Recently, my thoughts have centered on the problem of legacy. How do we forge bonds with other humans? What happens on an interpersonal level when these humans pass away, or when we pass, and they continue in life? How do queer spaces consistently offer deeper phenomena of interpersonal legacies; how does death operate as generational catalyst? I am particularly interested in putting these questions in the context of queer spaces. In queer culture, kinship is formed in ways that break from typical western notions of kinship. Despite being incoherent to western notions of family, queer bonds are extremely strong (Bradway …

Investigation Of Social Networks Upon Academic Performance And Mental Health, Rachel Izenson

Master's Theses

It has been shown that computing students have a statistically significantly lower overall sense of belongingness compared to other science students. A sense of community is important for many reasons. For example, there are studies that show that a student's sense of belonging correlates with improved academic performance. Our research aims to analyze the sense of belonging among computing students at Cal Poly San Luis Obispo through a network science lens. We surveyed for their sense of belonging, as well as their social network, to understand how friendships impact one's sense of belonging. When student responses were split by gender, …

Exploring The Impact Of Dance Arts Integration On General Education Teaching Practices: Insights Into Classroom Environment, Planning, Instruction, And Assessment, Sara Kessler-Kennon

Master's Theses

The purpose of this research study was to explore the impact of dance arts integration facilitation on teaching practices by emphasizing classroom environment, planning, instruction, and assessment. The researcher created the following four essential questions to guide the study:

Q1 How does incorporating movement-based arts integration alter classroom environment, student behavior, student engagement, and inclusivity of students with various abilities and diverse backgrounds?

Q2 How does incorporating movement-based arts integration impact the general educators' planning time, process, style, and understanding? Does the general educator feel as though they can effectively incorporate movement-based arts integration without collaborating with a dance educator? …

Body Positivity Via Costuming Performances In Grades Nine Through Twelve Dance, Kacey Valentine O'Keeffe

Master's Theses

This thesis explored the impact of body image and self-esteem on high school dancers and the pivotal role of dance educators in fostering a positive environment during concert preparations. The purpose of this research study was to determine if there was a correlation between promotion of health and wellness from dance educators and body positivity among high school dancers. The following research questions were addressed in this study:

Q1 What positively contributes to a dancers’ self-esteem and body image?

Q2 What is an effective solution for costume fitting methods to be used by dance educators while keeping their dancers’ safety …

Cutting Mechanisms And Control Systems Required For Precision Cutting With An Autonomous Lettuce Harvester, Aidan V. Fischer

Master's Theses

43% of California’s vast land is consumed for agricultural production to feed the United States and other nations Lettuce production alone brought in over $3 billion in 2022 in California. Most of the lettuce today is still harvested by hand using large groups of seasonal laborers; however, this has become increasingly difficult with an immigrant labor shortage. The objective of this study was to design a low-cost autonomous lettuce harvester prototype and evaluate the performance of the harvester capable of harvesting romaine lettuce preciously on a raised bed.

The harvester is equipped with an electrohydraulic control system that is used …

Juvenile And Subadult Gulf Sturgeon (Acipenser Desotoi) Use Of The Pascagoula River Estuary, Sarah Stovall

Master's Theses

Gulf Sturgeon (GS) are an anadromous species currently listed as “Threatened” under the Endangered Species Act. They reside in habitats across the northern Gulf of Mexico including coastal rivers, estuaries, and marine waters, making annual migrations between freshwater and marine habitats for spawning/summer resting and feeding, respectively. Since past studies prioritize adult movement, understanding how and when juvenile and subadult GS use the Pascagoula River estuary (PRE), a complex, bifurcated river delta federally designated as critical habitat is necessary to improve conservation efforts. My thesis assessed juvenile and subadult GS use of the PRE across four years (2020-2024) by analyzing …

Increasing Pride Skills For Child Engagement Using Ipcit With Children With Autism Spectrum Disorder, Jordan Etherington

Master's Theses

Many children with autism spectrum disorder display elevated levels of problem behaviors, such as aggression and defiance, in addition to symptoms characteristic of autism, such as deficits in social communication and interaction. Parent Child Interaction Therapy (PCIT) is a behavioral parent training program designed to improve problem behavior in young children by teaching parents to use skills that reinforce appropriate behaviors. In addition, the interactive nature of PCIT may help children with autism increase the rates at which they engage and interact with their caregivers. There are many barriers to treatment completion in PCIT, including high attrition rates due to …

Just Deserts: The Moral Foundations Of Antagonistic Personality In Social Aggression, Summer Steely

Master's Theses

Social aggression is associated with adverse psychosocial consequences such as anxiety, depression, isolation, reciprocal violence, and suicidality (Zhu et al., 2024). Psychopathic personality traits and moral deficits have been linked to antisocial behavior, including social aggression; however, the role of moral value systems and trait moral disengagement in the context of social aggression is less clear. A more granular analysis of their utility may illuminate new pathways toward intervention. To advance this goal, the present study explored the relationships between the values of Moral Foundations Theory and social aggression among college students (N = 301). Two moral foundations (i.e., care …

Nature-Based Solutions For Flood Risk Mitigation: Mapping And Hydrological Modeling In An Under-Resourced Urban Area On The Mississippi Gulf Coast, Jennifer Makenzie Holifield

Master's Theses

Flooding is the most frequent and costly disaster in the United States, affecting people disproportionately based on environmental, societal, and economic limitations. Through stakeholder engagement, open-access research, and nature-based solutions (NBS), ecology and hydrology can be bridged with local-scale politics to raise awareness of local issues and form strong interdisciplinary bonds. I approached nature-based equity from a ground front, in which I engaged with local stakeholders and city officials to gain insight and calibration on flooding experiences and flooding presence within Moss Point, MS. This engagement helped calibrate GIS models, from which, I found that the flooding hazards of Moss …

Modeling Hourly Storm Surges Using Deep Learning Techniques, Md Abu Zafor

Master's Theses

Storm surges cause coastal flooding, one of the most devastating coastal hazards. Accurate modeling of storm surges is essential for predicting and mitigating these impacts. Traditional approaches model surges at individual tide gauges and often focus on daily time scales, leading to data redundancy and limiting their ability to capture sub-daily variability. This study addresses these limitations using deep learning (DL) algorithms to model hourly surges simultaneously at multiple tide gauges along the U.S. East Coast and Gulf of Mexico. Three algorithms, Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), and a hybrid ConvLSTM are employed to model surges using …

Fight At The Museum: An Ethnographic Study Investigating Staff And Volunteers At Wwii Museums And Memorials, Miranda Noland

Master's Theses

Museums are places where events of the past can be explained, appreciated, and understood. While efforts are often taken to provide a neutral position in the presentation of complicated and emotional historical events, there may exist external pressure to present a more overtly nationalist narrative to please a particular audience or group of funders (Fujitani 1997). This creates a conflict of interest with respect to fair, accurate, and/or honest representation (White 1997b) for museum staff to navigate.

The goal of this thesis is to investigate stories that museums are permitted to tell within the context of Japanese and American narratives …

Real-Time Network Simulations For Ml/Dl Ddos Detection Using Docker, Luis D. Garcia

Master's Theses

As the integration of artificial intelligence (AI) within cybersecurity continues to

grow, machine learning (ML) and deep learning (DL) models are increasingly used to

detect cyber attacks. However, these models are rarely evaluated in real-time attack

scenarios to see how subtle changes from the real networking environment can affect

their predictions. To address this issue, we propose a scalable, platform-independent

Docker testbed specifically designed for simulating real-time Distributed Denial of

Service (DDoS) attack scenarios that allows researchers to deploy and evaluate their

pre-trained, ML and DL detection models. Our framework is simple to configure

and can run across Intel and …

Practical Model Of A Labview Controlled Active Magnetic Bearing On A Bently Rotor Kit Validated With Matlab And Msc Adams, Luis Herrera-Delgado

Master's Theses

This thesis aimed to model a rotor supported by an active magnetic bearing (AMB). The magnetic force equation due to a single electromagnet was first derived which served as the basis of AMB modeling. The finalized model utilized Matlab, Simulink, and MSC Adams to simulate a rotor supported by an AMB. Matlab and Simulink were used to model the AMB control system and actuator output. MSC Adams was used to capture the dynamics of a flexible rotor. This model was verified by comparing the model’s simulated vibration to real vibration data measured from a modified Bently Nevada rotor kit equipped …

The Application Of Generative Ai For Sketch-To-Image Conversion, Jeremy J. Kozlowski

Master's Theses

Sketches have historically been the primary way to identify individuals when images are unavailable. Most commonly, this appears in a police investigation, where the police release a sketch to the public in an attempt to find a suspect. However, sketches occasionally do not provide much detail due to the limitations of both the witness and the artist. A poor sketch greatly hinders the public’s ability to identify someone, decreasing the chances they will be found. To improve upon this inefficient way of identifying individuals, we propose a new pipeline that leverages deep generative artificial intelligence models to create detailed images …