Digital Commons Network^™

Characterizing Metabolic Changes In Cancer Cells After Treatment With An Extract Created From Walnuts, Codey Y. Huang

Master's Theses

Cancer cells undergo metabolic reprogramming to meet the energy and metabolite demands of constant proliferation. Originally observed as the Warburg Effect, where cancer cells are more glycolytically active, recent research has shown that cancer cells can also utilize oxidative phosphorylation to meet these demands, better known as metabolic flux. Previous work from our lab showed that treatment with a Walnut Extract (WE) induced cell death in MDA-MB-231 and HeLa cells by destabilizing the mitochondrial outer membrane potential, suggesting that the extract may be able to impact oxidative phosphorylation. The aim of the current research was to further characterize the impact …

Advancing Understanding Of The Relationship Between Tropical Cyclogenesis And Precipitation In A High-Resolution Model, Hananeh Jafary

Master's Theses

This study evaluates the relationship between tropical cyclone (TC) genesis, also known as tropical cyclogenesis, and precipitation in forecasts produced by the Basin-scale Hurricane Weather Research and Forecasting (HWRF-B) model. Pre-TC (PTC) forecasts from HWRF-B were produced during the 2017-2020 hurricane seasons in the North Atlantic and eastern North Pacific. In PTC forecasts, various precipitation characteristics, including rate, and coverage, were compared for different forecast outcomes of signal detection: hits, misses, false alarms, and correct rejections. Moreover, differences in radar reflectivity, mid-tropospheric moisture, and vertical wind shear (VWS) were studied and compared for developing (i.e., underwent cyclogenesis) and non-developing PTCs. …

Doppler Lidar Observations Of The Wildfire Environment: Applications For Monitoring Downslope Wind Events And Prescribed Fires, Alan C. Huston

Master's Theses

Extreme wildfire activity is often associated with downslope windstorms which cause fires to spread rapidly. To limit the potential for a utility-caused ignition, Public Safety Power Shutoffs (PSPS) can be used preemptively during predicted wind events. The timing of when winds might mix down to the surface and impact the power grid infrastructure is difficult to predict due to the interaction of the atmosphere with complex terrain. To improve the spatial and temporal accuracy of wildfire mitigation during PSPS events, the deployment of a mobile Doppler LiDAR was used to monitor the vertical structure and evolution of two downslope wind …

Inverse Association Between Yogurt Consumption And Metabolic Syndrome Prevalence In United States Adult Males, But Not In Females Or In The Total Population: Nhanes 2017-2018, Diana K. Lee

Master's Theses

Metabolic syndrome (MetS) is prevalent in the United States (US) population andconcerns lie in related chronic diseases and financial burdens. To mitigate MetS, modifying the diet is a possible solution. Yogurt is known for its nutrient density and is a possible health food. The growing interests in yogurt and the growing concerns for MetS are met with the gap of unraveling the yogurt consumption status and MetS prevalence in the US. We evaluated the association between yogurt consumption and MetS using the National Health and Nutrition Examination Survey (NHANES) 2017-2018 and Food and Nutrient Database for Dietary Studies data. The …

"For Better Or Worse": Imagining Innovation In Smart City Municipal Design, Kevin M. Kochever

Master's Theses

The smart city concept recently (ca. 2010) emerged as a corporate-led system-as-a-service (SaaS) tool to meet city needs of accessibility and efficiency. I looked at three Western cities—Reykjavík, San José, and Toronto—to discover what it meant for city managers to meet municipal needs by embracing smart initiatives. Senior-level city managers, consultants, and technologists invoked vocabularies of smartness and innovation, adopting Internet of Things (IoT) and artificial intelligence (AI) as tools to facilitate human resource and service efficiency needs. I found persistent ambiguity in how city managers described and measured outcomes for city smartness. I also found stakeholders used smartness to …

An Investigation Of The Relationship Of Wave Intensity And Byssal Thread Strength Of The Mussel Mytilus Californianus, Felicia M. Miller

Master's Theses

The intertidal zone is a stressful environment with one of the main stressors being the fluctuation of wave energy over time and space. A structural adaptation employed by mussels living within the intertidal zone is byssal threads that aid in attachment while dealing with various levels of wave exposure. The California mussel, Mytilus californianus, lives in extremely wave exposure conditions, which makes it a great study species to assess the relationship between wave intensity and byssal thread strength. In this study, Mytilus californianus were collected from two locations in the Monterey Bay, each with a predicted wave exposed site and …

Quaternary Geologic Slip Rates For The Northern Rodgers Creek Fault, Near Windsor, Ca, Alianora Walker

Master's Theses

New Quaternary geologic slip rates were determined for the northern Rodgers CreekFault at two sites near Windsor, CA. Slip rates were determined through Quaternary mapping and geochronologic dating, specifically in situ cosmogenic 10Be, and infrared stimulated luminescence dating. At the Shiloh Ranch Regional Park site, a terrace dated to ~3.2 ka – 7.9 ka and offset 18 m – 45 m yielded a preliminary slip rate of 6.1 mm/yr ± 4.5 mm/yr. At the Foothill Regional Park site, an older Quaternary terrace and a younger alluvial fan deposit are reconstructed with source drainages across the fault. Reconstructing the ~68.8 ka …

Acoustic Lens Design Using Machine Learning, Wei-Ching Wang

Master's Theses

This thesis aims to contribute to the development of a novel approach and efficient method for the inverse design of acoustic metamaterial lenses using machine learning, specifically, deep learning, generative modeling, and reinforcement learning. Acoustic lenses can focus incident plane waves at the focal point, enabling them to detect structures non-intrusively. These lenses can be utilized in biomedical engineering, medical devices, structural engineering, ultrasound imaging, health monitoring, etc. Finding the global optimum through a traditional iterative optimization process for designing the acoustic lens is challenging. It may become infeasible due to high dimensional parameter space and the compute resources needed. …

Autonomous Vehicle Testing Using A Model-Based Approach, Muslim Razi

Master's Theses

Autonomous vehicles (AVs) offer advantages in many different industries which isleading to an increase in their adoption. Testing and conducting quality assurance on the complex systems are crucial in ensuring safety and reliability. The main challenges with AV testing include modeling diverse scenarios which an AV can encounter in the real world. Compared to real-world testing, simulators provide an efficient and versatile alternative for AV testing. SVL Simulator is one such simulator that integrates with Baidu’s Apollo AV platform. In this paper, a model-based testing framework utilizing semantic trees and 3D test tables is used to model driving scenarios into …

Historic Ohlone Resource Distribution Within The Alameda Creek Watershed, Naseem Fazeli

Master's Theses

The Alameda Creek watershed is located within the ancestral homeland of the Muwekma Ohlone Tribe of the San Francisco Bay Area. Their ancestors historically utilized a variety of plants for food, medicine, ceremonies, and building materials, with their understanding of the value of the plants based on traditional ecological knowledge (TEK). The arrival of Spanish, and later Anglo/American, colonists beginning in the mid-18th century introduced urbanization and European agricultural practices, which have degraded wildlands and impacted species richness and diversity. As interest in environmental restoration has been increasing in recent decades, the present-day Muwekma Ohlone Tribe has an opportunity to …

No Association Between Macronutrient Intake And Body Composition Indices In Collegiate Athletes, Bryan Singharaj

Master's Theses

A scarcity of literature follows the relationship between macronutrient intake and bodycomposition indices within an athletic population. Therefore, the primary aims of the present study were to evaluate the relationship between the percent intake of carbohydrates, dietary fat, and protein with fat-free mass percentage (FFM %), fat mass percentage (FM %), fat mass index (FMI), and lean mass index (LMI). In addition, a secondary objective was to determine if there were any sex differences in the relationship between macronutrient intake and body composition indices. A total of 58 San José State University student-athletes from multiple sports were included in the …

An Empirical Assessment Of Environmental Variable Combinations For Use In Fire Weather Forecasts, Daniel Sunvold

Master's Theses

Predicting high fire danger conditions is paramount to mitigating the impacts caused by wildfires. Such warning systems as red flag warnings (RFWs) and the National Fire Danger Rating System (NFDRS) utilize atmospheric and fuel moisture properties to warn public and government entities about conditions that may lead to the ignition or rapid growth of wildfires. In this study, we use high-resolution reanalysis and wildfire growth data from 2003-2020 in California to test a variety of different variables to determine if a more viable variable combination exists that could be used to create a better warning index which would allow for …

Amplifying Testimonios Of Latino Male Student Success, Jilian Gómez

Master's Theses

The purpose of this qualitative counternarrative ethnographic study was to explore the success stories and lived experiences of six Latino male students, utilizing an asset-based approach and consideration of intersectional identity, cultural wealth, and contextual settings. This asset-based theoretical framework, the Latino Male Student Success Paradigm, was developed and used to contextualize the Latino male students' testimonios of their experiences and how they advanced their academic success. A semi-structured interview protocol was used to invite testimonios from the research participants, which included discussions about their academic success. The testimonios provided insight into what facilitated their resiliency when facing adversity within …

Black, Green, And Young: A Case Study Assessing Implementation And Outcomes Of An Environmental Science, Technology, Engineering And Math Curriculum For Youth In West Oakland, California, Ashari A. Taylor-Watson

Master's Theses

Environmental racism plagues low-income communities of color through exposure to environmental hazards, and the youth are most vulnerable. Environmental science, technology, engineering, and math (E-STEM) curriculums promoted as tools for corrective justice. Using a West Oakland, California Boys and Girls Club as a case study, I first describe the environmental awareness, attitudes, and actions of a group of six- to 13-year-old, predominantly African - American, children from this low-income community. I then examine the possible impacts of an E-STEM curriculum on participants, and I identify staff- and researcher-identified challenges to its implementation. During the study, the cohort experienced a heightened …

Environmental Influences On Large Daily Wildfire Growth In California, Holt S. Hanley

Master's Theses

Wildfires have become a major environmental, social, and economic problem in California. The consequences can be especially detrimental when they exhibit behavior like very large daily growth (an individual fire burning >10,000 acres over a 24-hour period). Environmental conditions influencing the risk of large daily growth include weather variables such as temperature, wind, relative humidity, and precipitation; fuel variables such as type, loading, availability, and moisture content; as well as topographic variables such as slope, aspect, elevation, and shape. However, there remains great uncertainty in the importance of these variables relative to each other and the existence of any threshold …

Co-Composted Biochar Improves Dry-Farmed Tomato Productivity In The Santa Clara Valley, Ca, With No Change In Soil Microbiology, Duncan A. Keller

Master's Theses

California is a globally important site for agricultural production, but the state is currently suffering from an unprecedented drought. One strategy to conserve water is dry farming, where growers cache moisture in the soil from off-season rain or early-season irrigation for crops to use throughout the growing season. Some California growers have dry-farmed tomatoes for decades. Recently, some have begun adding co-composted biochar (COMBI) to boost productivity and stimulate soil microbiology, particularly arbuscular mycorrhizal fungi. To the best of my knowledge, no field research on dry-farmed tomato systems currently exists, let alone on the effects of COMBI amendments on yield, …

Deformation History Of The Pasayten Fault Zone, North Cascades, Washington And British Columbia, Natasha Budimirovic

Master's Theses

The Pasayten fault extends ~250 km from Washington to British Columbia (BC), roughly following the controversial, paleomagnetically defined “Baja BC” boundary. This study investigated the deformation history of the Pasayten fault zone through mapping contacts, measuring orientations of foliations, lineations, and folds, and examining kinematic indicators in the northern segment in BC and in the southern projection of the fault in Washington. In the northern area, the ~110-105 Ma Pasayten fault separates the Jurassic-Cretaceous Methow basin from the Middle Jurassic to mid-Cretaceous Eagle Plutonic Complex and Permian Eastgate-Whipsaw metamorphic belt to the northeast. Structural orientations and kinematic indicators in outcrops …

Evaluating Schizochytrium Sp. As An Alternative Ingredient In Fish-Free Feeds For Sablefish (Anoplopoma Fimbria) Aquaculture, Katherine A. Neylan

Master's Theses

Alternative feeds for marine finfish aquaculture are critical for the sustainable expansionof the aquaculture industry. Fish that are farmed for human consumption are often carnivorous; therefore, the industry uses wild-caught forage fish as a primary ingredient in feeds in the form of fishmeal and fish oil. As the aquaculture industry grows, it is important to identify alternative feed ingredients with high omega-3 polyunsaturated fatty acid (PUFA) concentrations. This study was designed to test a microalga, Schizochytrium sp., as an alternative feed ingredient for sablefish (Anoplopoma fimbria) using six test diets. The first diet (+FM+FO) contained both fishmeal and fish oil. …

Balancing Berkeley: A Case Study Exploration Of Black Student Experiences At Elite Universities, Sha Quasha Y. Morgan

Master's Theses

A qualitative study examining the individual and personal definitions of college success from the perspective of Black students at predominantly White and elite institutions. Using students from the University of California, Berkeley as a snapshot of the larger institutional context, this thesis centers the experiences of Black undergraduate students to discuss equity and student success. The university’s written texts, reports and survey results were examined regarding diversity and interpreted to reveal patterns in subtext and narrative about commitments to success and compared to that of the students’ experiences. Emergent themes included: isolation and sense of belonging, race relations including intra …

A Risc-V Matrix Multiplier Using Systolic Arrays, Miao Wang

Master's Theses

Many modern day applications can be solved with the usage of machine learning, which involves training a computer to learn on large amounts of data without direct programmer guidance. Conventional computers typically use normal general purpose central processing units, though more specialized tasks may take advantage of more parallel hardware such as graphics processing units. In the pursuit of increased performance to facilitate increasingly more complex machine learning models, researchers in both academia and industry look towards field-programmable gate arrays and application specific integrated circuits for their needs. Various implementations, both theoretical and practical, exist across a wide variety of …

Acoustic Cloak Design Using Generative Modeling And Reinforcement Learning, Linwei Zhuo

Master's Theses

Metamaterials are engineered composites that can exhibit acoustic, electromagnetic, elasto-dynamic and mechanical properties that are not found in natural materials Due to the complexity of the target objective functions, it is difficult to find the globally optimized solutions in the inverse design of metameterials. This thesis proposes and outlines two model, a gradient-based optimization method combined with generative networks (2D-GLOnets) and a reinforcement learning (RL) model, that can find the optimized metamaterial structures across a wide range of parameters. By perturbing the positions of each cylindrical scatterer in a planar configuration, 2D-GLOnets and the RL model with Deep Deterministic Policy …

Examining Communibiology During Adrenal Stress Scenario Training In Feminist Self-Defense: An Experimental Study, Daniel A. Van Hook

Master's Theses

In communication episodes featuring heightened stress, interactions that are perceived as threatening and evoke a sense of powerlessness often predict a cycle of victimization. Meanwhile, social interactions which affirm safety and agency amidst stress foster empowerment. This study utilized Hoplology, which studies stress inoculation against aggression and posttraumatic stress, and Communibiology, the study of neurobiology as an antecedent and outcome of communication, to explore (a) whether Adrenal Stress Scenario Training in Feminist Self-Defense (ASST-FSD) produces a physiological response to promote stress inoculation, (b) how anxiety impacts physiological response, and (c) reports of mental toughness. A 4-day ASST-FSD training pilot study …

The Influence Of Aerosols On Ice And Mixed-Phase Clouds Based On In-Situ Observations And Cam6 Simulations, Flor Vanessa Maciel

Master's Theses

Clouds have a large impact on Earth’s radiation budget, and although there is aconsiderable amount of research on them, there are still uncertainties concerning how thermodynamics, dynamics, and aerosol indirect effects impact their microphysical properties. The lack of observational analysis on cirrus and mixed-phase cloud controlling factors, i.e., temperature, relative humidity, vertical velocity, and aerosol number concentrations, limits our understanding of how these properties impact their microphysical properties and, therefore, complicates how they are simulated within climate models. With seven flight campaigns funded by the National Science Foundation (NSF) and five funded by the National Aeronautics and Space Administration (NASA), …

Hard Real-Time Linux On A Raspberry Pi For 3d Printing, Alvin Nguyen

Master's Projects

The project presents how a Raspberry Pi with hard real-time enabled Linux can control stepper motors to operate the kinematics of a 3D (three-dimensional) printer. The consistent performance of the Raspberry Pi with the PREEMPT-RT (real-time) patch can satisfy real hard-time requirements for 3D printing kinematics, without introducing dedicated microcontrollers. The Klipper 3D printer firmware enables one of the Raspberry Pi processors to act as the Klipper MCU, the primary controller for the hardware components. This project introduces a software implementation of the control logic for controlling the stepper motors, which utilizes the PCA9685 pwm driver and TB6612 motor drivers …

A Program Evaluation Of The Town Of Woodside, Plumas County Fire Safe Council, And Mountain Communities’ Fire Safe Council Defensible Space Projects, Mandeep Gill

Master's Projects

California is one of the most fire-prone regions in the world, with every passing year becoming more hazardous. With a tremendous amount of loss and damage occurring every year due to wildfires, property owners must prepare their homes and structures to withstand fires as much as possible. The best way to achieve this is by building and retrofitting homes with fire-resistant materials and creating defensible space around the property (Cal Fire, n.d.). Although it is the best way to protect one’s property, it is often times difficult for property owners to do so because of financial or physical limitations, or …

Gesture Recognition Using Neural Networks, Ashwini Kurady

Master's Projects

The advances in technology have brought in a lot of changes in the way humans go about their lives. This has enhanced the significance of Artificial Neural Networks and Computer Vision- based interactions with the world. Gesture Recognition is one of the major focus areas in Computer Vision. This involves Human Computer Interfaces (HCI) that would capture and understand human actions. In this project, we will explore how Neural Network concepts can be applied in this challenging field of Computer Vision. By leveraging the latest research for Gesture Recognition, we researched on how to capture the movement across different frames …

Contextualized Vector Embeddings For Malware Detection, Vinay Pandya

Master's Projects

Malware classification is a technique to classify different types of malware which form an integral part of system security. The aim of this project is to use context dependant word embeddings to classify malware. Tansformers is a novel architecture which utilizes self attention to handle long range dependencies. They are particularly effective in many complex natural language processing tasks such as Masked Lan- guage Modelling(MLM) and Next Sentence Prediction(NSP). Different transfomer architectures such as BERT, DistilBert, Albert, and Roberta are used to generate context dependant word embeddings. These embeddings would help in classifying different malware samples based on their similarity …

Predicting Externally Visible Traits From A Dna Sample For Law Enforcement Applications, Niraj Pandkar

Master's Projects

A large majority of crimes such as homicides, sexual assaults and missing person cases are not solved within a reasonable timeframe and become cold cases. The ability to predict visual appearance and ancestry from a DNA sample will provide an unprecedented advancement in such criminal investigations. DNA based prediction of craniofacial features, phenotypes and ancestry can be used to reduce the pool of candidates onto which to perform further investigations. To achieve the above goal, it is first essential to substantiate, model and measure the intrinsic relationship between the genomic markers and phenotypic features. The first step is to standardize …

Generative Adversarial Networks For Image-Based Malware Classification, Huy Nguyen

Master's Projects

Malware detection and analysis are important topics in cybersecurity. For efficient malware removal, determination of malware threat levels, and damage estimation, malware family classification plays a critical role. With the rise in computing power and the advent of cloud computing, deep learning models for malware analysis has gained in popularity. In this paper, we extract features from malware executable files and represent them as images using various approaches. We then focus on Generative Adversarial Networks (GAN) for multiclass classification and compare our GAN results to other popular machine learning techniques, including Support Vector Machine

(SVM), XGBoost, and Restricted Boltzmann Machines …

Faking Sensor Noise Information, Justin Chang

Master's Projects

Noise residue detection in digital images has recently been used as a method to classify images based on source camera model type. The meteoric rise in the popularity of using Neural Network models has also been used in conjunction with the concept of noise residuals to classify source camera models. However, many papers gloss over the details on the methods of obtaining noise residuals and instead rely on the self- learning aspect of deep neural networks to implicitly discover this themselves. For this project I propose a method of obtaining noise residuals (“noiseprints”) and denoising an image, as well as …