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Full-Text Articles in Entire DC Network
Depth-Dependent Effects Of Disturbance On Reproductive Output And Growth Of Giant Kelp (Macrocystis Pyrifera), Roxanne-Alexa Amalia Garibay
Depth-Dependent Effects Of Disturbance On Reproductive Output And Growth Of Giant Kelp (Macrocystis Pyrifera), Roxanne-Alexa Amalia Garibay
Master's Theses
Understanding the resilience of foundation species to disturbance, such as the canopy-forming giant kelp (Macrocystis pyrifera), is crucial as these species support diverse communities by provisioning habitat and nutrients. This study investigated sublethal effects of biomass loss on reproductive traits and the recovery of vegetative biomass following simulated disturbance at shallow and deep sites in Stillwater Cove, central California. Initial baseline morphometrics revealed that depth significantly influenced total frond length and blade density but did not predict other vegetative or reproductive biomass metrics. A manipulative experiment varying type and intensity of disturbance—from canopy removal to full frond culls—demonstrated a decoupled …
The Moderating Role Of Flexible Work Styles On The Relationship Between Relational Identification And Affective Organizational Commitment, Justine Lee
Master's Theses
The purpose of this study was to explore the moderating role of flexible work styles (in-person, hybrid, and remote) on the relationship between relational identification and affective organizational commitment (AOC). The study utilized an online survey to collect data from 69 respondents. The results demonstrated that although relational identification and AOC were related, this relationship was not moderated by flexible work styles. The three different work styles of in-person, hybrid, and remote work did not show differing affects for a subordinate’s relational identification and the strength of their AOC. The results emphasize that organizations can foster strong relational identification to …
A Closer Look At The Relationship Between Workplace Harassment And Negative Workplace Behavior: The Mediating Role Of Revenge Cognitions And The Moderating Role Of Fear Of Internal Threat, Keely L. Sinclair Smith
A Closer Look At The Relationship Between Workplace Harassment And Negative Workplace Behavior: The Mediating Role Of Revenge Cognitions And The Moderating Role Of Fear Of Internal Threat, Keely L. Sinclair Smith
Master's Theses
The purpose of the current study was to provide a closer look at the relationship between workplace harassment and negative workplace behavior by investigating the mediating role of revenge cognitions and the moderating role of fear of internal threat, a novel construct that included both formal and informal organizational sanctions. A sample of 103 employees from a variety of occupational backgrounds participated in the study by completing an online survey. Results of the simple mediation analysis showed that workplace harassment was positively related to negative workplace behavior, and revenge cognitions fully mediated this relationship. In other words, employees who experienced …
Accessibility Fairness Practices In Ai Applications For People With Disabilities, Megan Gross
Accessibility Fairness Practices In Ai Applications For People With Disabilities, Megan Gross
Master's Theses
Advancements in artificial intelligence (AI) improve the lives of people every day with tools like the auto-captioning of videos, improved screen-reader capabilities, and advanced mobility control through speech. However, are all groups of people benefiting from AI or are some being overlooked and left out? Although AI tools made for people with disabilities (PWDs) have improved their lives, AI for the general population generally ignores the experiences of PWDs, making them unable to interact with and benefit from technology. This research evaluates ChatGPT and Gemini in Gmail for usability fairness and analyzes how current regulations and development processes fail to …
Adaptive Task-Driven Lidar Point Cloud Compression For Autonomous Driving, Su Hyun Kim
Adaptive Task-Driven Lidar Point Cloud Compression For Autonomous Driving, Su Hyun Kim
Master's Theses
Autonomous-driving systems generate large LiDAR point clouds, but compression can damage the sparse object-support structure needed by 3D detectors even when reconstructions appear visually plausible. This thesis asks whether adaptive LiDAR compression can preserve downstream detection better than uniform compression by allocating more fidelity to detector-relevant regions. The main study builds a mask-aware range-image codec with an encoder-decoder bottleneck, an importance head, and an adaptive quantization variant. It compares this adaptive variant package with a confirmed masked uniform baseline under one fixed RangeDet evaluation surface and one fixed KITTI validation subset. Two supporting studies bound the result: a projection-reconstruction PointPillars …
A Socio-Ecological Study Of Coyote And Human Interactions In San Francisco Bay Open Space Preserves, Zhiyi Zhou
A Socio-Ecological Study Of Coyote And Human Interactions In San Francisco Bay Open Space Preserves, Zhiyi Zhou
Master's Theses
Urban open space preserves support both intensive recreation and wildlife, but the information on carnivore activity and visitor perceptions is limited. This study combined camera-trap monitoring and on-site visitor surveys to evaluate activity patterns of medium- to large-bodied mammals and perceptions of coyotes at Windy Hill and Rancho San Antonio Open Space Preserves (South San Francisco Bay Area). From October 2024 to July 2025, thirteen cameras recorded 213,681 photo events; detections were standardized as detections per 1,000 camera-hours. Ten mammal species and two avian species were detected, including four focal carnivores: coyote (Canis latrans), bobcat (Lynx rufus), mountain lion (Puma …
Hill, Patricia Evridge, San Jose State University
Hill, Patricia Evridge, San Jose State University
Emeritus and Retired Faculty Biographies
University of Texas at Dallas, Humanities, Emphasis in History, Ph.D. 1990
University of Texas at Dallas, Humanities, Emphasis in History, M.A. 1984
Southern Methodist University, History Major; Spanish Minor, B.A. 1979
Lifetime Texas Teaching Credential Grades 6 through 12, History and Spanish, 1980
Early Failure Detection In Web Navigation Agents Via Closed Sequential Pattern Mining, Sergio Talavera
Early Failure Detection In Web Navigation Agents Via Closed Sequential Pattern Mining, Sergio Talavera
Master's Theses
LLM-based web navigation agents fail on the majority of tasks while consuming substantial computational resources before failure becomes apparent. This thesis investigates whether closed sequential pattern mining on the first K steps of agent execution traces can predict task failure early enough to enable meaningful computational savings with interpretable justification. We develop a two-phase system: an offline pipeline that symbolizes agent traces, extracts K-step prefixes, mines closed patterns via BIDE+, and ranks them by failure precision; and an online detector that matches live executions against the resulting pattern library. We evaluate on 1,544 MiniWoB++ traces across three open-weight language models …
Impacts Of Physical Extremes On The Reproductive Output And Dispersal Of Stephanocystis Osmundacea, Jessica J. Franks
Impacts Of Physical Extremes On The Reproductive Output And Dispersal Of Stephanocystis Osmundacea, Jessica J. Franks
Master's Theses
Population replenishment is vital for species survival and depends on reproductive output and recruitment success. Many marine organisms rely on both short- and long-distance dispersal to sustain and expand their populations. Marine dispersal involves microscopic or planktonic stages that are influenced by currents, physical processes, and biological traits such as planktonic duration and sinking behavior. Depth and light gradients affect primary producer growth, impacting reproduction, especially in morphologically plastic seaweeds. This study examined how depth-related factors influence reproductive morphology, reproductive output, and dispersal of the subtidal brown seaweed Stephanocystis osmundacea in central California. Using field, lab, and computational methods, depth-driven …
Data Augmentation For Vision-Language-Action Models: Bridging Vision And Language, Miaosen Zhou
Data Augmentation For Vision-Language-Action Models: Bridging Vision And Language, Miaosen Zhou
Master's Theses
This thesis focuses on real-time task execution and object detection for autonomous robots through dataset augmentation. We propose a data augmentation approach to address dataset imbalance in Vision-Language-Action (VLA) models across both image and text modalities during the fine-tuning process. The proposed method takes an image as input and generates a structured textual description using a prompt engineering strategy to augment the textual input. The generated augmented text includes key elements such as the task goal, scene description, reasoning, and execution plan, along with other relevant contextual information. This enriched representation improves the quality of the training data and supports …
Spatial Heterogeneity And Temporal Trends Of California Extreme Heat Using High-Resolution Earth System Model Simulations, Eleni Konstantelos
Spatial Heterogeneity And Temporal Trends Of California Extreme Heat Using High-Resolution Earth System Model Simulations, Eleni Konstantelos
Master's Theses
Extreme heat threatens California’s diverse landscapes and populations through intensifying and geographically shifting patterns. This study examined the temporal trend and spatial heterogeneities of California’s extreme heat for 1994–2015. The analysis was based on the fully coupled Energy Exascale Earth System Model version 2 (E3SMv2), specifically its 25-km regionally refined configuration. While the Desert/Inland region exhibited the highest number of days ≥ 35 °C and the highest heatwave severity, Central Valley showed the fastest increase in the number of days ≥ 35 °C and heatwave events, as well as the fastest increases of days exceeding various heat index thresholds over …
Investigating Learning In Immersive Virtual Reality, Andrew Negrette
Investigating Learning In Immersive Virtual Reality, Andrew Negrette
Master's Theses
Students often struggle with learning challenging subjects throughout their education. This also tends to lead to lower enjoyment and science self-efficacy for learning. Some subjects may be better represented in 3-dimensional spaces utilizing immersive virtual reality (IVR). Recently, IVR headsets have become more accessible and affordable and therefore are in wider use. The purpose of this study was to investigate whether differences in science selfefficacy, enjoyment, presence and knowledge retention exist between IVR and controls on an ocean acidification lesson. I predicted that participants taking the lesson in IVR would score higher compared to a laptop on all measures, due …
Error-Tolerant Metric Dimension, Leander Ten Hoff
Error-Tolerant Metric Dimension, Leander Ten Hoff
Master's Theses
Metric dimension is a graph parameter that measures the smallest distance-based unique coordinate system on a graph. Fault-tolerant metric dimension is a variant that requires redundancy. Inspired by this idea, we propose and investigate a new variant we call error-tolerant metric dimension. We first prove some fundamental results to gain familiarity with this more complex variant. Then, we use these tools to study relative behaviors of error-tolerant metric dimension. We prove explicit computations for simple graph families, including bipartite complete graphs and paths. Finally, we extend extremal results from previous papers on metric dimension, including a full correction of an …
Probabilistic Metric Dimension, Kyle Worley
Probabilistic Metric Dimension, Kyle Worley
Master's Theses
The metric dimension of a graph G is the smallest number of unique vertices (often called “marked vertices” or “landmarks”) such that each vertex has a unique distance to the marked vertices. If a set of vertices S ⊆ V (G) when marked gives all vertices unique distances, it is called a resolving set. Hence if G is a graph with a resolving set S, then for all v, u ∈ V (G) there exists s ∈ S such that d(v, s) ̸= d(u, s). The metric dimension dim(G) = min(|S|). Two widely studied variants exist, one where edges are …
The Relationship Between Foliations Of The Plane, Kaplan Diagrams, And Non-Hausdorff 1-Manifolds, Monique Justine Howe
The Relationship Between Foliations Of The Plane, Kaplan Diagrams, And Non-Hausdorff 1-Manifolds, Monique Justine Howe
Master's Theses
In this paper we seek to explain the relationship between foliations of the plane, Kaplan diagrams, and simply connected non-Hausdorff 1-manifolds with countable basis that are orientable with an ordering on branch points. We will walk the reader through the definitions of all of these objects, and provide examples with a focus on the motivating example of the Reeb foliation. This paper will describe and define the known bijection from the set of foliations of the plane, F, to the set of Kaplan diagrams, K, its inverse, and the one-to-one map from F to the set of simply connected non-Hausdorff …
Monoids With K-Strictly Local Geodesic Languages, William M. Hong
Monoids With K-Strictly Local Geodesic Languages, William M. Hong
Master's Theses
A paper by Gilman, Hermiller, Holt and Rees (2011) prove that a group G finitely generated by X is virtually free if and only if the language of geodesics words in G over X is k-strictly local if and only if the word problem is context-free. If M is a monoid finitely generated by X, we define Γu(M,X) to be the underlying, undirected graph of Γ(M,X). We prove that if the language of geodesics in Γu(M,X) based at the identity is k-strictly local, then the monoid and semi-group word problems are context-free.
Rewriting The Calculus 3 Workshop At San José State University, Moorea Lippert
Rewriting The Calculus 3 Workshop At San José State University, Moorea Lippert
Master's Theses
Calculus 3 at San José State University is a very important course for any student pursuing a STEM degree. However, the course is very challenging, so the university offers a supplemental workshop course for Calculus 3 students. Unfortunately, this workshop has not aligned with modern research in math education. This thesis documents efforts to recreate the workshop to better align with this modern research.
Fermat's Last Theorem Over Quadratic Number Fields, Richie Tay
Fermat's Last Theorem Over Quadratic Number Fields, Richie Tay
Master's Theses
Fermat’s Last Theorem states that the equation xn + yn = zn has no nontrivial integer solutions for n ≥ 3. While the rational case is completely solved, the situation over quadratic number fields is not as straightforward. For some exponents nontrivial solutions exist, while for others they do not. This thesis studies Fermat-type equations over quadratic number fields, combining classical methods with more modern techniques from the theory of elliptic curves. The thesis first reviews the rational cases n = 2, n = 3, n = 4, then develops the necessary background on quadratic number fields, including rings of …
Rational Non-Euclidean Triangles And Elliptic Curves, Tyler Morales
Rational Non-Euclidean Triangles And Elliptic Curves, Tyler Morales
Master's Theses
We say a triangle △ is rational if its side lengths are rational. For a geometry of constant curvature κ, we say △ is a rational triangle if the generalized tangents of its side lengths are rational. We are able to parameterize rational triangles having the same inradius and semiperimeter on an plane curve, write a bijection between the rational points on this curve and triples of side lengths, and show that this curve is an elliptic curve. Then, we write a general transformation for our plane curve to short Weierstrass form to compute ranks and add points easily using …
The Moderating Effect Of Pay Satisfaction On The Relationship Between Generational Differences And The Desire For Meaningful Work, Mia J. Kottgen
The Moderating Effect Of Pay Satisfaction On The Relationship Between Generational Differences And The Desire For Meaningful Work, Mia J. Kottgen
Master's Theses
The modern workforce is increasingly generationally diverse, with generational cohorts such as Baby Boomers, Generation X, Millennials, and Generation Z differing in their work values and attitudes. Prior research suggests that meaningful work may be experienced differently across generations and that workplace factors, such as pay satisfaction, may influence these differences. However, few studies have examined generational differences in the desire for meaningful work while also considering workplace influences. The purpose of the present study was to examine the relationship between generational identity and the desire for meaningful work, and whether pay satisfaction moderates this relationship. A survey was administered …
The Process Of Workplace Creativity Spillover To Improving Personal Relationships, Kaushik Ram
The Process Of Workplace Creativity Spillover To Improving Personal Relationships, Kaushik Ram
Master's Theses
There is substantial research on how work and non-work experiences are closely intertwined, with workplace experiences often spilling over to shape individuals’ relationship dynamics. Despite this, creativity, an increasingly valued skill in the workplace, remains largely overlooked in spillover research. Drawing on broaden-and-build theory, this study examined whether creative process engagement would be positively associated with romantic relationship satisfaction, both directly and indirectly through creative self-efficacy (CSE), conceptualized as a transferable personal resource built through positive experiences. Additionally, it investigated whether supervisor praise would moderate the relationship between creative process engagement and CSE to examine the role managers have in …
The Relationship Between Imposter Syndrome And Organizational Citizenship Behaviors: The Moderating Role Of Gender, Sakina I. Read
The Relationship Between Imposter Syndrome And Organizational Citizenship Behaviors: The Moderating Role Of Gender, Sakina I. Read
Master's Theses
Prior research consistently shows that imposter syndrome is associated with a wide variety of negative psychological and work-related outcomes such as stress, burnout, and lower job satisfaction. However, other research suggests that individuals with higher levels of imposter syndrome may engage in compensatory behaviors such as increased effort and discretionary helping for impression management purposes. Additionally, research has found that women tend to report higher levels of imposter syndrome and higher engagement in organizational citizenship behaviors (OCBs) than men, suggesting a gender difference in both variables. The present study sought to examine the relationship between imposter syndrome and OCBs and …
The Great Return In Higher Education: Employee Perspectives Survey, Tonya P. Person
The Great Return In Higher Education: Employee Perspectives Survey, Tonya P. Person
Master's Theses
The COVID-19 pandemic transformed traditional workplace structures across higher education, accelerating the adoption of hybrid and remote work arrangements. In the post-pandemic period, as universities implement or refine mandatory return-to-office (RTO) policies, understanding employee perspectives remains critical for informed decision-making. The present exploratory study investigated staff experiences with hybrid work, anticipated reactions to a five-day in-office mandate, and preferences for future work models within a large public university. Data were collected from 155 university staff members through a 12-item survey assessing perceived benefits of hybrid work, expected impact of a mandatory in-office requirement, and preferred work arrangements when given a …
Remote Reality: Exploring The Outcomes Of Psychological Contract Breach On Telecommuting Employees, Karen L. Ng
Remote Reality: Exploring The Outcomes Of Psychological Contract Breach On Telecommuting Employees, Karen L. Ng
Master's Theses
The purpose of this study was to investigate the relationship between psychological contract breach (PCB) and attitudinal outcomes, specifically job satisfaction, organizational commitment, and turnover intent, within the telecommuter population. Results of an online survey administered to 213 participants revealed strong support of all hypotheses: PCB was negatively associated with job satisfaction and organizational commitment and positively associated with turnover intent. Exploratory analyses revealed moderating effects of remote work frequency and organizational tenure with PCB and attitudinal outcomes. High-frequency remote workers and longer-tenured employees showed stronger negative reactions to PCB, indicating their amplified vulnerability to breaches. Age and gender showed …
Match Made In Ml: Developing Compatibility Relationships In Evidential Reasoning Approaches With Machine Learning, Ella Jolie Thomas
Match Made In Ml: Developing Compatibility Relationships In Evidential Reasoning Approaches With Machine Learning, Ella Jolie Thomas
Master's Theses
The presented expectation maximization informed evidential reasoning model extends the ability of the evidential reasoning calculus to support decision making by integrating an adaptive model learning capability. Compatibility relationships in Evidential Reasoning models are traditionally built by human domain experts. This process is labor-intensive, especially for large and complex models. Additionally, when new data becomes available, compatibility relationships must be reconstructed. Using machine learning and the expectation maximization algorithm, it is demonstrated that compatibility relationships can be constructed that learn relationships between domain knowledge that is used to make decisions. Using drug development as a domain of application, a traditional …
Interpretable Wellness Prediction From Passive Wearable Sensor Data Using Large Language Models, Cheng-Huan Yu
Interpretable Wellness Prediction From Passive Wearable Sensor Data Using Large Language Models, Cheng-Huan Yu
Master's Theses
This thesis presents a unified framework for multi-target wellness prediction using passive wearable sensor data and large language models (LLMs). The study integrates two complementary paradigms: prompt-based regression and representation-driven classification. In the first stage, structured wearable representations derived from daily physiological signals are used to prompt LLMs to predict stress, fatigue, sleep quality, and readiness. Two input representations are evaluated: statistical summaries and hybrid inputs combining statistical summaries with raw sensor values. To improve interpretability and prediction consistency, the second stage introduces a representation-centric classification framework in which wearable signals and wellness targets are discretized into categorical levels. Multiple …
Moral: Multimodal Reasoning For Autonomous Language Models With Sensor-Grounded Spatial Bev Rendering, Ambarish Govindarajulu Kaliamurthi
Moral: Multimodal Reasoning For Autonomous Language Models With Sensor-Grounded Spatial Bev Rendering, Ambarish Govindarajulu Kaliamurthi
Master's Theses
Autonomous-driving vision-language models describe scenes fluently but reason poorly about metric, safety-critical spatial relationships because they do not read sensor geometry in a grounded way. This thesis presents MoRAL (Multimodal Reasoning for Autonomous Language Models), a two-stage fine-tuning pipeline that teaches a compact 2-billion-parameter VLM to decode a physics-encoded Bird’s Eye View (BEV) representation – LiDAR distance as color, object class as cluster shape, radar Doppler velocity as directional wedges – and then trains it to reason over that representation for driving decisions. Stage 2 then fine-tunes on 57,696 teacher-generated chain-of-thought examples across eight question types, using Cosmos-Reason2-8B as teacher …
Superresolution Spectroscopy Of Atomically Thin Semiconductors And Moiré Heterostructures, Chien-Chu (Charity) Wei
Superresolution Spectroscopy Of Atomically Thin Semiconductors And Moiré Heterostructures, Chien-Chu (Charity) Wei
Master's Theses
Atomically thin semiconductors and moir’e heterostructures provide an important platform for studying quantum phenomena shaped by reduced dimensionality, interlayer coupling, strain, and local structure. In MoS2, the transition from bulk to monolayer form changes the material from an indirect to a direct band gap, while stacked and strain-engineered systems can produce spatially varying moir’e potentials on nanometer length scales. Because these effects are highly localized, conventional far-field optical spectroscopy is often limited in its ability to resolve them directly. This thesis explores superresolution vibrational spectroscopy as a route toward probing local behavior in atomically thin semiconductors and moir’e heterostructures. Far-field …
Effects Of Variable Light On Sexual Competition In Kelp Species, Jaycee Lanza
Effects Of Variable Light On Sexual Competition In Kelp Species, Jaycee Lanza
Master's Theses
As foundation species, kelps significantly influence the structure and composition of their surrounding habitat by modifying environmental conditions, including light levels, currents, nutrient availability, sedimentation, and seawater chemistry. Light, in particular, is a critical resource that varies greatly within kelp forests, affecting kelp reproductive processes such as gametogenesis, fertilization, and recruitment, which are vital to population persistence. Biological factors, such as density-dependent competition for resources and sexual competition with other kelps, can also affect such processes. To understand how environmental variables influence kelp populations, it is crucial to recognize their combined effects. This study investigated the impacts of light levels …
The Zeal Instruction Set Architecture, Joseph A. Gerani
The Zeal Instruction Set Architecture, Joseph A. Gerani
Master's Theses
The Instruction Set Architecture of a CPU (Central Processing Unit) determines what type of instructions the CPU is able to understand, how those instructions are encoded, and what it should output upon receiving those instructions as input. There are currently three popular ISAs meant for the consumer market: x86, RISC-V, and ARM, as well as a fourth that mostly now exists in the server market by the name of Power. One of the most important parts of an ISA is for engineers to be able to understand it and make use of it. If an ISA is too complicated, nobody …