Digital Commons Network^™

Mindset Matters: The Relations Between Growth Mindset And Academic And Career Variables Among First-Generation College Students, Dillon Harper

Master's Theses

Can altering the perception of failure change future performance? Growth Mindset (GM) has been investigated for several decades, and studies have indicated that altering the way people perceive failure can impact certain levels of performance like academic achievement. The individual who endorses a GM views a challenge or failure not as a defeat and submission of inability, but a recognition that further growth, persistence, and effort are required to accomplish the desired task. This project aimed to understand more about first generation college students (FGCS) who endorse a growth mindset. Specifically, the intention of the study was to understand how …

The Impact Of Formal Education, Specialized Training, And Offense Type On Perceptions Of Employability: Can Bias Toward Hiring A Person With A Criminal History Be Mitigated?, Rheanna Standridge

Master's Theses

Gaining employment for returning citizens has been shown to reduce recidivism and contribute to a successful community reintegration. Yet, many employers remain skeptical when it comes to hiring formerly incarcerated job candidates for a variety of reasons. Though hesitations are often related to assumptions about a person’s dangerousness, there remain legitimate reasons, such as limited formal education and basic skills, that prevent returning citizens from finding work. Further, previous research suggests that hiring decisions are confounded by offense type, even if an employer would otherwise consider a person with a criminal history. Thus, it is unclear whether returning citizens’ level …

Transient Thermal Response Of Tissues Surrounding An Implanted Medical Device During Inductive Charging, Peter C. Leboeuf

Master's Theses

Inductive charging as a means of power delivery to implanted device is becoming more commonplace as increasingly sophisticated implants with higher power requirements enter clinical use. When such devices undergo inductive charging, losses within the system result in dissipated heat that must be absorbed by the surrounding tissue. The skin-mounted primary antenna and components within the implanted device such as the metal casing, battery, and secondary antenna are all susceptible to temperature increase during a charging cycle. Heating of this kind must be considered when designing modern implants utilizing this mode of power transfer in order to safeguard surrounding tissues …

Effects Of Intertidal Position On The Capacity For Anaerobic Metabolism And Thermal Stress Response In The Common Acorn Barnacle, Balanus Glandula, Kyra Anderson

Master's Theses

Intertidal habitats are characterized by dynamic, tidally-driven fluctuations in abiotic and biotic factors. Many of the environmental stressors that vary across the intertidal (e.g., temperature, oxygen, food availability, predation pressure) are strong drivers of metabolic rate in ectotherms. As such, we predicted that there may be pronounced differences in the metabolic and stress physiology of conspecific sessile invertebrates occupying at different relative tidal heights. The common acorn barnacle Balanus glandula represents an ideal model organism in which to investigate the possibility of tidal height-dependent physiological differences, owing to their wide distribution in the intertidal zone and their eurytolerant nature. In …

Integration Of Electrical Impedance Spectroscopy For Multichannel Cell Culture Measurement, Conard Chan

Master's Theses

ELECTROCHEMICAL IMPEDANCE SPECTROSCOPY (EIS) has been widely used to study the electrical properties of biological material due to its non-invasive nature and experimental reliability. However, most of the precision impedance analyzers used in EIS only provide single- or two-channel measurements which are inadequate for larger-scale multiplexed measurements, such as those found in modern microfluidic cell culture experiments. The Biomedical Microsystems Laboratory has developed a 16-channel cell culture platform with integrated electrode arrays for monitoring cell growth and electrical properties (i.e., the so-called “electrical phenotype”). In this paper, a system consisting of a 16-channel solid-state analog multiplexer (MUX)paired with a low-cost, …

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 …

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 …

Synthesis And Characterization Of Ruthenium Complexes And Their Potential And Photosensitizers For Photodynamic Therapy, Keit Dine

Master's Theses

Cancer is one of the leading causes of death in the world with over 10 million people dying of the disease every year. Inorganic complexes supported by platinum metal centers are often used in cancer treatment. However, these complexes lack selectivity for tumor cells. As such, other alternatives to platinum have been explored. Ruthenium (Ru) complexes are one of the most promising candidates due to their ability to be used as photosensitizing drugs in photodynamic therapy. Herein, we report the design, synthesis, and characterization of two novel ruthenium-based complexes. One compound is a Ru(II) homoleptic complex, while the other is …

Randomness Distillation To Improve Key Quality For Context-Based Authentication Schemes, Jackson West

Master's Theses

Context-based authentication is a method for transparently validating another device’slegitimacy to join a network based on location. Devices can pair with one another by continuously harvesting environmental noise to generate a random key with no user involvement. However, there are gaps in our understanding of the theoretical limitations of environmental noise harvesting, making it difficult for researchers to build efficient algorithms for sampling environmental noise and distilling keys from that noise. This work explores the information-theoretic capacity of context-based authentication mechanisms to generate random bit strings from environmental noise sources with known properties. Using only mild assumptions about the source …

An Analysis Of Thermal Comfort Perception In Cal Poly's Math & Science Building, Pouria Ali Fariborzi

Master's Theses

Since Americans, on average, spend approximately 90% of their time indoors according to the EPA, it is crucial to provide room occupants with the best, most comfortable, and healthiest possible environment, which is known as Indoor Environmental Quality (IEQ). This thesis aims to identify how we can provide comfortable learning environments to improve student success. To determine the best possible environment for occupants, a model of the Math & Science Building was developed, validated, and modified using DesignBuilder. In addition, we compared thermal comfort surveys to actual measured conditions for some classrooms. Analysis indicates that students prefer a cooler thermal …

Growth Of Condition-Related Knowledge Among Youth With Spina Bifida: Associations With Neurocognitive Functioning And Self-Management Skills, Olivia Emery Clark

Master's Theses

Spina bifida (SB) is a congenital birth defect that may involve physical, medical, and neuropsychological complications due to central nervous system malformation (Copp et al., 2015). Ambulation problems, bladder and bowel dysfunction, and hydrocephalus require daily medical management tasks, including catheterization, bowel program management, and skin checks to avoid secondary complications. While self-management skills are typically gained during adolescence, executive dysfunction in SB may complicate gains (Dennis et al., 2006; Greenley, 2010). Indeed, evidence in other chronic conditions suggests that adolescent executive dysfunction is linked to poorer medical self-management. Condition-related knowledge has been identified as an important basis of medical …

Coordination Protocols For Verifiable Consistency In Distributed Storage Systems, Ashwin Ramaswamy

Master's Theses

Achieving consistency in a highly available distributed storage system has been formally proven to be an impossible task when the system faces network partitions and faulty processes. The complexity is exacerbated when the system allows concurrent processes to send transactions to all the other servers and coordinate the consistent commitment of different transactions. In the event of a partition, each server may allow clients to request updates involving the current state of the data, which makes achieving replicated consistency challenging. To solve the inconsistency problems, several consensus protocols are used, but have strict requirements in order to make progress and …

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. …

Characterization Of The Ch Addition Product From Meta- And Ortho-Xylene + Ch Reaction And Direct Experimental Observation Of The Tetrabromine Cluster Br4 Using Synchrotron Photoionization Mass Spectrometry, Rory R. Mcclish

Master's Theses

This thesis is centered on the use of a unique gas-phase spectroscopy technique to characterize products and elucidate reaction mechanisms. Experiments were carried out at the Chemical Dynamics Beamline 9.0.2 of the Advanced Light Source located at the Lawrence Berkeley National Laboratory in Berkeley, CA. Computational work was performed on the scientific supercomputer at USF to supplement experimental findings. Chapter 1 contextualizes the work spurred in response to the deleterious interactions of anthropogenic emissions on Earth’s climate. Chapter 2 describes the theoretical manipulations foundational to the experimental design and interpretation. Chapter 3 delves into the physical details of the experimental …

Blue Red Hackenbush Spiders, Ravi Cho

Master's Theses

One of the goals of Combinatorial Game Theory is to find provable winning strategiesfor certain games. In this paper, we give winning strategies for certain spider positions played using the rules of Blue Red Hackenbush and a variant. Blue Red Hackenbush and its variants are played on a graph of a bLue and Red edges that are connected to a vertex called the ground. We will represent the ground as a horizontal black line. In this paper, we study spider graphs played under two different variants: Blue Red Hackenbush and Reverse Blue Red Hackenbush. Both variants are played by two …

Linear Inverse Problems And Neural Networks, Jasjeet Dhaliwal

Master's Theses

We investigate two ideas in this thesis. First, we analyze the results of adaptingrecovery algorithms from linear inverse problems to defend neural networks against adversarial attacks. Second, we analyze the results of substituting sparsity priors with neural network priors in linear inverse problems. For the former, we are able to extend the framework introduced in [1] to defend neural networks against ℓ0, ℓ2,and ℓ∞ norm attacks, and for the latter, we find that our method yields an improvement over reconstruction results of [2].

Sparse Coding For Data Augmentation Of Hyperspectral Medical Images, Rojin Zandi

Master's Theses

Hyperspectral imaging presents detailed information about the electromagneticspectrum of an object in three dimensions. The significant point about the hyperspectral images is that it contains tens or hundreds of spectral layers, which provide precise data about the composition of the studied material. Therefore, hyperspectral images have been popular in many fields of study, such as medical diagnostic imaging. Speed and precision are key points to save human life in disease diagnosis, and applying machine learning techniques to medical hyperspectral images helps answer this need. Convolutional neural networka are one of the most popular machine learning methods for classifying medical images. …

An Examination Of Factors Predicting Academic Engagement And Commitment Among Science, Technology, Engineering, And Mathematics Students: The Moderating Role Of Gender, Tasanee S. Thienpothong

Master's Theses

The purpose of the present study was to examine the role of gender on the relationships between the predictor variables (i.e., sense of belonging, grit, and support systems) and academic engagement and commitment to major among science, technology, engineering, and mathematics (STEM) students. Specifically, this study proposed that gender would act as a moderator of these relationships such that the relationships between the predictor variables and the outcome variables would be stronger for women than for men in STEM. A total of 254 undergraduates from a university in Northern California participated in an in-person survey. Although results did not show …

Map-Gan: Unsupervised Learning Of Inverse Problems, Brandon S. Campanella

Master's Theses

In this paper we outline a novel method for training a generative adversarial network based denoising model from an exclusively corrupted and unpaired dataset of images. Our model can learn without clean data or corrupted image pairs, and instead only requires that the noise distribution is able to be expressed analytically and that the noise at each pixel is independent. We utilize maximum a posteriori estimation as the underlying solution framework, optimizing over the analytically expressed noise generating distribution as the likelihood and employ the GAN as the prior. We then evaluate our method on several popular datasets of varying …

Triangular Cosserat Point Element Method For Reducing Soft Tissue Artifact: Validation And Application To Gait, Jake Edward Deschamps, Stephen Klisch

Master's Theses

Human motion capture technology is a powerful tool for advancing the understanding of human motion biomechanics (Andriacchi and Alexander, 2000). This is most readily accomplished by applying retroreflective markers to a participant’s skin and tracking the position of the markers during motion. Skin and adipose tissue move independently of the underlying bone during motion creating error known as soft tissue artifact (STA), the primary source of error in human motion capture (Leardini et al., 2005).

(Solav et al., 2014) proposed and (Solav et al., 2015) expanded the triangular Cosserat point element (TCPE) method to reduce the effect of STA on …

An Analysis Of Camera Configurations And Depth Estimation Algorithms For Triple-Camera Computer Vision Systems, Jared Peter-Contesse

Master's Theses

The ability to accurately map and localize relevant objects surrounding a vehicle is an important task for autonomous vehicle systems. Currently, many of the environmental mapping approaches rely on the expensive LiDAR sensor. Researchers have been attempting to transition to cheaper sensors like the camera, but so far, the mapping accuracy of single-camera and dual-camera systems has not matched the accuracy of LiDAR systems. This thesis examines depth estimation algorithms and camera configurations of a triple-camera system to determine if sensor data from an additional perspective will improve the accuracy of camera-based systems. Using a synthetic dataset, the performance of …

Best Practices To Build Relationships Between Students With Exceptionalities And General Education Students In A Unified Dance Class, Charlotte Cook

Master's Theses

The goal of this study was to analyze various studies or curriculums, which included both general education students and students with exceptionalities to find best practices to build relationships in a unified dance class. For this study the researcher analyzed ten pieces of literature which focused on inclusive movement classes. These sources included five studies and five curriculums. More specifically, the researcher created the following essential questions to examine sources which included students with and without exceptionalities. Q1: What strategies and activities best foster growing relationships in a unified dance class? Q2: What creative dance content best fosters building of …

Community Perspective: How Participating In The Nutcracker Enhances Student Motivation And Growth In Socioeconomically Depressed Public Schools, Angelina Burleigh

Master's Theses

This research study exclusively focused on performing arts dance programs in socioeconomically depressed public schools. It is the belief of this researcher that providing dance within a framework of the dance standards affords students with the opportunity to truly experience the art of dance, since they not only received the chance to learn good technique from a highly qualified educator, but they are also provided with choreographic and performance opportunities which allow them to communicate a story, express feelings, or emotions through movement to discover their imaginative abilities. The goal of this study was to examine how dance education impacts …

Barriers To Dance Education: An Exploration Into The Beliefs Of Dance Educators And Non-Dance Familiars On Dance And Its Place In The Public-School System, Brianna Michelle Miller

Master's Theses

The purpose of this study was to investigate differing views on the value of dance and its place within the public-education system. The researcher crafted three research questions to guide her research:

Q1 What barriers or objections exist when it comes to incorporating dance within the public-school setting? Q2 What discrepancies exist between the viewpoints of dance educators and non-dance familiars when it comes to dance and its value within the public education system? Q3 What specific steps can be taken to highlight the importance of dance education in the public-school setting?

Nine dance educators and twelve non-dance familiars completed …

Adapting Single-View View Synthesis With Multiplane Images For 3d Video Chat, Anurag Venkata Uppuluri

Master's Theses

Activities like one-on-one video chatting and video conferencing with multiple participants are more prevalent than ever today as we continue to tackle the pandemic. Bringing a 3D feel to video chat has always been a hot topic in Vision and Graphics communities. In this thesis, we have employed novel view synthesis in attempting to turn one-on-one video chatting into 3D. We have tuned the learning pipeline of Tucker and Snavely's single-view view synthesis paper — by retraining it on MannequinChallenge dataset — to better predict a layered representation of the scene viewed by either video chat participant at any given …

A New Curriculum: Supporting Social Emotional Learning Using Mindfulness Motivated Choreography In High School, Whitney Haslam Warner

Master's Theses

The purpose of this study was to investigate the ways in which a mindfulness-based curriculum would inform and effect creative, choreographic, and performance processes, as well as the effectiveness of serving as a social-emotional learning teaching tool in a high school dance classroom. Based on the results of this study, findings showed that implementing a mindfulness‑based curriculum, alongside connecting movement explorations, created an increase in the depth and breadth of student-created movement. Through this study, 37 student participants practiced mindfulness alongside correlating movement explorations to create movement for a culminating dance concert. Participants reported an increased sense of calm, focus, …

Plant Disease Detection Through Convolutional Neural Networks: A Survey Of Existing Literature, Best Practices, And Implementation, Kevin Label

Master's Theses

In the United States alone, common diseases spread among plants account for billions of dollars lost in crop yield each year. This issue is exacerbated in countries with less infrastructure to defend against crop epidemics, and can lead to famine and forced migration. Farmers can seek the help of plant pathology experts to defend against diseases and detect crop irregularities early on. However, access to experts can be difficult, and even those trained in the field may miss symptoms before it is too late. To assist in early disease detection, a number of papers have been released on the potential …

Privacy-Aware And Hardware-Based Accleration Authentication Scheme For Internet Of Drones, Tom Henson

Master's Theses

Drones are becoming increasingly present into today’s society through many different means such as outdoor sports, surveillance, delivery of goods etc. With such a rapid increase, a means of control and monitoring is needed as the drones become more interconnected and readily available. Thus, the idea of Internet of drones (IoD) is formed, an infrastructure in place to do those types of things. However, without an authentication system in place anyone could gain access or control to real time data to multiple drones within an area. This is a problem that I choose to tackle using a Field Programmable Gate …

A Multigrid Homotopy Method For Computing Eigenfunctions Of Differential Operators With Two-Dimensional Heterogeneity, Chelsea Drum

Master's Theses

In this thesis, we develop an accurate algorithm for computing the smallest eigenvalues of the self-adjoint spatial differential operator for the two-dimensional heat equation with a piecewise constant coefficient and periodic boundary conditions. The piecewise constant coefficient is created by the discontinuity of the diffusivity coefficient across the interfaces between two or more heterogeneous materials. Our method involves the combination of the well-known Inverse Iteration with a multigrid homotopy.