Digital Commons Network^™

Protein Structural Changes Of Envelope Glycoprotein In Human Immunodeficiency Virus Type 1, Abigail S. Bridges

Chemistry & Biochemistry Undergraduate Honors Theses

The envelope glycoprotein (Env), present on the viral surface of human immunodeficiency virus type 1 (HIV-1) facilitates host cell infection, making it a critical target for immune responses and vaccine development. Env is able to transition through three prevalent prefusion conformational states, state-1 (pre-triggered), state-2 (closed), and state-3 (open). By transitioning through these conformation states, Env can successfully evade immune responses and initiate viral entry into the host cell. This study uses molecular dynamics (MD) simulations to analyze the conformational dynamics of the mature, cleaved Env glycoprotein in the state-2 conformation (PDB ID: 4ZMJ). Simulations were conducted with five replicates, …

Molecular Insights: Advances In Single Molecule And Single Particle Detection For Analysis Of Chemical, Physical, And Biological Phenomena, James Ethan Batey

Chemistry & Biochemistry Undergraduate Honors Theses

This thesis is focused on recent advancements made in the field of chemical imaging, optical microscopy, and recent developments that have improved spatial, temporal, or spectral resolution or have made certain techniques more accessible and cost effective for their wider adoption. This thesis is organized based on the systems of interest we studied with each new technique. Although, it is important to note that many of the methods here can be used with a multitude of systems even if not explicitly mentioned. The first chapter of this thesis will discuss the current state of chemical imaging, common terminology, and important …

From Basel (1989) To Busan (2024): Developments And Contradictions In The Global Plastic Waste Trade, Megan E. Hughes

Honors Theses

In 1989, the international community convened in Basel to adopt groundbreaking, legally binding legislation on the transboundary movement of hazardous waste. Plastic waste was notably absent from the initial Basel Convention due to the perceived economic value in plastic recycling despite social, economic, and environmental harms. Consequently, the transboundary sale of plastic waste for recycling– known as the Global Plastic Waste Trade (GPWT)– has proceeded largely unregulated, enabling unsustainable plastic consumption while exacerbating environmental justice divides between developed and developing nations. Recent commitments in the GPWT, such as the European Commission Circular Economy Action Plan (2015), China’s National Sword policy …

Using Gaussian Process Regression To Learn Thermodynamic Equations Of State With Uncertainty Quantification, Austen T. Lee

Chemical Engineering Undergraduate Honors Theses

This study investigates the use of derivative-informed Gaussian Process (GP) models to estimate thermodynamic behavior across temperature and density by building a Helmholtz-based equation of state. Argon, a stable monatomic gas, was chosen as a case study within the vapor region. The GP model was trained using values of experimentally measurable properties found by taking first and second derivatives of the original potential function. Results show that while the GP model offered uncertainty quantification and informed thermodynamic behavior, it predicted values that deviated from the ground truth depending on the property. The model exhibited high confidence in regions with substantial …

Modeling Cell Buildup And Release In An Ultrafiltration Cartridge, Holiday B. Derosier

Chemical Engineering Undergraduate Honors Theses

While membrane filtration has improved greatly and has been incorporated into many modern practices, there isn’t much data on material exchange in and out of the lumen and how that effects the overall efficiency of the process. This data may help to accurately measure the reliability and efficiency of a filtration membrane system, which can lead to improvements in filtration sustainability, process lifespan, and product quality.

This project aims to model the material balance within a perfusion bioreactor ultrafiltration system in MATLAB, with a focus on bioreactors and cell buildup and release from the lumen. The results of this study …

Engaging Future Engineers: Utilizing Ai-Generated Video To Promote The Chemical Engineering Profession, Madeline G. Mondebello

Chemical Engineering Undergraduate Honors Theses

The expected incline of the chemical engineering profession faces a growing need to attract the next generation of prospective students. This research explores the use of artificial intelligence (AI) software to create an innovative form of media fit for secondary school and early college outreach. The pre- and post-video questionnaires were taken by a voluntary population comprised of high school students, college students, and parents. Overall, the feedback received was generally positive but indicated that the AI avatars and the lip-sync discrepancies may disrupt the video more than enhance it. In the future, a larger population will be surveyed to …

Natural History Models For Lung Cancer: A Scoping Review, Renu Sara Nargund, Sayaka Ishizawa, Maryam Eghbalizarch, Paul Yeh, Seyyed Mostafa Mousavi Janbeh Saray, Sara Nofal, Yimin Geng, Pianpian Cao, Edwin J Ostrin, Rafael Meza, Martin C Tammemägi, Robert J Volk, Maria A Lopez-Olivo, Iakovos Toumazis

Faculty, Staff and Student Publications

Introduction: Natural history models (NHMs) of lung cancer (LC) simulate the disease's natural progression providing a baseline for assessing the impact of interventions. NHMs have been increasingly used to inform public health policies, highlighting their utility. The objective of this scoping review was to summarize existing LC NHMs, identify their limitations, and propose a framework for future NHM development.

Methods: We searched MEDLINE, Embase, Web of Science, and IEEE Xplore from their inception to October 5, 2023, for peer-reviewed, full-length articles with an LC NHM. Model characteristics, their applications, data sources used, and limitations were extracted and narratively synthesized.

Results: …

Final Butte Priority Soils Operable Unit (Bpsou) Unreclaimed (Ur) Sites: Ur-35 Remedial Action Work Plan (Rawp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

2022 Annual Operations And Maintenance Report 2022 Bres Annual Summary Report For Work Completed In Quadrant 2, Butte-Silver Bow Department Of Reclamation And Environmental Services

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Optimizing And Training An Svm-Based Breast Cancer Tumor Classifier, Kevin Lopatka

Master's Theses

With advancements in technology, turning to machine learning has become a popular choice for aiding clinicians in the diagnoses of breast cancer malignancies. While the neural networking approach has been vetted thoroughly, this work aims to take advantage of traditional machine learning techniques; mainly support vector machine learning and the optimizing of feature extraction. The discrete-wavelet transform is used in the feature extraction stage of machine learning. Previous works that use this feature extraction technique are analyzed and expanded upon by utilizing a variety of different wavelets as well as other color-spaces with the goal of achieving higher result metrics …

Enhanced Post-Capture Automatic White Balance For Srgb Images, Eric Huang

Master's Theses

Automatic white balancing (AWB) aims to correct color casts caused by varying illumination conditions, typically assuming access to RAW sensor data. However, many real-world applications involve only sRGB images that have already been processed by in-camera pipelines. In these cases, traditional AWB algorithms often underperform due to the nonlinear transformations done by these pipelines.

This thesis builds upon a data-driven color correction framework introduced by Afifi et al. that relies on RGB-UV histograms and learned color transforms. A revised automatic white balancing (AWB) framework that improves both color accuracy and runtime efficiency is proposed. A fallback routine is implemented to …

Unintended Consequences: How Direct Cash Payments To Families Experiencing Poverty Lowered Child Poverty Rates In The United States, Wayne Dunn

Electronic Theses, Projects, and Dissertations

Child poverty has adverse effects for the children who experience it and it has long term social and economic consequences into adulthood. This policy analysis looks at the policy choices America has made in addressing child poverty and what effects, if any, those policies have had. After reviewing traditional in-kind policy options for addressing child poverty, this article focuses on the decreases in the child poverty rate that occurred with the passage of pandemic era legislation that provided direct cash assistance to all Americans. Because the assistance programs only happened in two consecutive years and were terminated at the end …

Social Media Use In Health Education: National Children's Dental Health Month Social Media Toolkit, Jazmin Pelayo

Electronic Theses, Projects, and Dissertations

National Children's Dental Health Month (NCDHM) was created by the American Dental Association and is celebrated annually by local oral health programs all around the country. The celebration began as a one-day event on February 8, 1949, expanded to a week-long observance in 1955, and was later extended to a month-long celebration in 1981. Today local oral health programs celebrate NCDHM in a variety of ways but the one I will be focusing on is a social media tool kit. A social media tool kit consists of videos or posts that are posted on different platforms such as the www.smilesbc.org …

Student Mental Health And Student Engagement In Higher Education: Identifying The Mechanisms, Sailesh Maharjan

Electronic Theses, Projects, and Dissertations

Students’ mental health is critical for their personal and educational engagement, particularly among First Generation College Students (FGCSs). There is a growing need in higher education to openly discuss mental health challenges, emphasizing the importance of understanding available resources and campus culture in influencing student well-being. Adopting a salutogenic perspective, this study highlights the necessity of viewing student mental health as an ongoing process rather than a one-time task. In this context, the study examines the relationship between student mental health and overall engagement in higher education, specifically focusing on the roles of a sense of belonging, psychological flexibility, and …

Effectiveness Of A Southern California School District’S Wellness Center Evidenced-Based Practices On Push Factors In Latinx Students, Leslie Abarea, Yeraldin Ismerio

Electronic Theses, Projects, and Dissertations

This scoping literature review proposal explores the effectiveness of a Southern California School District’s wellness center evidenced-based practices on push factors that impact Latinx students. Push factors such as low grades, low test scores, poor behavior, absenteeism, and suspensions/expulsions expose Latinx youth to mental health issues that influence academic success. By analyzing existing research on wellness center approaches, evidenced-based practices, culturally responsive practices, and academic support, this scoping literature review proposal would aim to assess the impact these practices have on student academic success. This proposed study would have the intent of assisting this school district to create an evaluation …

Predicting Late Deliveries In International Healthcare Logistics Using Machine Learning Models, Jeevan Sai Gali

Electronic Theses, Projects, and Dissertations

The healthcare supply chain plays a pivotal role in ensuring the timely delivery of essential medical supplies, particularly during global crises such as the COVID-19 pandemic. However, this critical system is often plagued by inefficiencies and disruptions caused by factors such as inadequate infrastructure, natural disasters, geopolitical tensions, and variability in vendor performance. These challenges underscore the need for advanced methodologies to enhance supply chain resilience and operational efficiency. This culmination experience project explores the integration of machine learning models and external variables, such as the Logistics Performance Index (LPI), to optimize lead-time predictions and mitigate risks in global healthcare …

Urban-Rural Dynamics And Dui Fatalities In The Inland Empire: A Neural Network Analysis Of Traffic Safety Disparities, Armando Ceja-Lua

Electronic Theses, Projects, and Dissertations

This study examines the disproportionately high traffic fatality rates in California's Inland Empire region through neural network analysis of over 500,000 accidents (2013-2022). We argue that the Inland Empire's unique hybrid urban-rural landscape creates a multiplicative risk environment unlike other California regions. Our analysis reveals that San Bernardino County's fatality rate (1.920 per 100 million VMT) significantly exceeds neighboring regions, with alcohol-impaired driving fatalities (0.586) substantially higher than California's average (0.390). Neural network models (92% validation accuracy) identify pedestrian-involved collisions (correlation value 0.164) and alcohol involvement (0.075) as the strongest predictors of fatality in urban areas, while rural crash patterns …

Understanding The Impact Of Ransomware On Biotechnology, Tswvyim Vang

Electronic Theses, Projects, and Dissertations

Biotechnology encompasses the use of research on both biology and technology to create products that can advance in areas such as healthcare and agriculture. Because of the technology and products that arise from the use of biotechnology, the industry is especially targeted by cyber-attacks. A prominent type of cyber-attack that is utilized by cyber criminals on biotechnology is ransomware. The goal of this project is to determine the impact of ransomware on biotechnology. The research questions posed are: Q1) What are real examples of ransomware attacks that have occurred on biotechnology companies and what patterns can be identified by these …

Numalyze: Numerical Analysis Web Application, Dev Kapupara

Electronic Theses, Projects, and Dissertations

Numalyze is an online platform that allows users to run and apply different numerical methods in real time. The application is built using Python and the Flask web framework. It provides an interface where users input mathematical functions and parameters to see the results for root-finding and integration methods, and to also perform reductions on matrices. By using a light-weight web framework and self-coded algorithms which removes dependency on massive external libraries—this application connects theoretical concepts to their practical implementation. It enables students and researchers to visualize the series of steps that each algorithm takes to compute results. Moreover, the …

Reading Music: An Interdisciplinary Method To Analyzing Songs, Matthew King

Electronic Theses, Projects, and Dissertations

In growing times of hardship for education in the music space, I believe there needs to be a more user-friendly approach to evoking meaning from sonics. Researchers have shared the difficulties in teaching music-analysis skills in recent years, and I argue that, through more accessible means, a meaning-making process in music can be learned, and utilized in analyzing songs. This thesis explores the ways in which music and literature can be intertwined and made meaning through an interdisciplinary analysis of King Gizzard & the Lizard Wizard’s song “Flamethrower.” In this thesis, I am arguing that musical works can and should …

Effectiveness Of Mental Health Interventions Amongst Parents With Child Welfare Involvement, Clarisa Grano

Electronic Theses, Projects, and Dissertations

This study explores the effectiveness of mental health interventions provided by child welfare agencies to parents involved in the child welfare system. By employing a mixed-methods approach, the research aims to assess intervention outcomes, identify barriers to service utilization, and provide qualitative insights into parents' experiences with mental health services. The quantitative component will gather data on mental health outcomes through structured surveys, while the qualitative component will explore the lived experiences of parents through semi-structured interviews. Findings from this study will contribute to the development of culturally competent interventions and inform policy changes that address systemic inequities in mental …

Constructing Binary Encoding Matrices From Joined Graphs, Joshua Avalos

Electronic Theses, Projects, and Dissertations

Codes and technology are part of our daily lives and allow the modern world to function, and for us to have conveniences in our lives such as smartphones that can be used to privately call people on the other side of the planet, and for secure access to the internet. In this thesis we will explore the construction of binary codes created by vertex-edge incidence matrices of planar graphs. The Hamming (7,4) code was an incredible code that allowed the detection and correction of errors after receiving them through a transmission. We will explore the possibility of the creation of …

Explainable Ai (Xai) For A Machine Learning Heart Disease Prediction Model, Sai Abhishek Sanchula

Electronic Theses, Projects, and Dissertations

Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, necessitating the development of accurate and interpretable machine learning (ML) models for early diagnosis and risk assessment (World Health Organization, 2021). While ML algorithms such as logistic regression, decision trees, support vector machines (SVM) (Cortes & Vapnik, 1995), and deep learning models (LeCun et al., 2015) have demonstrated high predictive accuracy, their adoption in clinical practice is hindered by their black-box nature (Rudin, 2019). Explainable AI (XAI) techniques, including SHapley Additive Explanations (SHAP) (Lundberg & Lee, 2017), Local Interpretable Model-agnostic Explanations (LIME) (Ribeiro et al., 2016), and feature importance analysis …

Optimizing Lightweight Authentication Protocols For Enhancing Security In Resource-Constrained Iot Devices, Anuj Jayeshbhai Naik

Electronic Theses, Projects, and Dissertations

IoT devices are increasingly being used in critical applications such as smart cities, healthcare, and industrial systems. However, due to their limited processing power, memory, and energy, traditional authentication methods are not suitable in these resource-constrained scenarios. To construct and evaluate a lightweight authentication system for such devices, this study incorporates secure, efficient cryptographic techniques. The following are the research questions: Q1) How can a hybrid lightweight authentication protocol that includes ECC and AES be used to safely and successfully link resource-constrained IoT devices? Q2) How can nonce-based challenge-response approaches to protect against replay threats be used to create lightweight …

On Bed Posture Recognition Using Deep Learning With Pressure Sensors, Farheen Akhter Ms

Electronic Theses, Projects, and Dissertations

In healthcare applications such as disease prevention, sleep quality evaluation, and patient monitoring, bed posture recognition is essential. Using pressure sensor arrays placed on top of or embedded in mattresses, this study investigates the application of deep learning models for non-invasive posture classification. Although they have been widely employed, traditional machine learning approaches like support vector machines (SVM) and k-nearest neighbors (KNN) sometimes struggle with feature extraction and real-time performance necessitating considerable processing resources. I implemented a model using conventional approaches to get over these restrictions, then fine-tuned it using the following deep learning architectures for bed posture recognition: ResNet-50, …

Usage And Engagement Patterns Of Students In Online Learning Platforms, Sumalatha Panja

Electronic Theses, Projects, and Dissertations

Online leaning platforms play an important role in this modern education world by providing flexible and diverse learning opportunities. This study investigates the most engaged online learning platform and the pattern by which the students are mostly attracted to a particular platform by focusing on enrollments, duration, price and completion rate of each course across different platforms. The research questions asked in this paper are: (Q1) What are the most engaged online learning platforms by students? (Q2) What are emerging patterns of engagement of students in online learning platforms? The dataset which is used for answering these questions is being …

Effect Of Counseling On Stem Student Gpa At A Community College: A Quasi-Experimental Longitudinal Case Study, Alexander Beechko

Electronic Theses, Projects, and Dissertations

The persistent under-representation and academic attrition of first-generation and underrepresented minority (URM) students in science, technology, engineering, and mathematics (STEM) disciplines present a critical challenge for institutions of higher education—particularly community colleges, which function as a primary access point for these populations. As the United States continues to face a growing demand for a diverse and skilled STEM workforce, it is imperative to identify and implement interventions that support the academic success and retention of these students. This dissertation examines the role of academic counseling as a potentially impactful support mechanism, analyzing its relationship with academic performance among STEM students …

Voicing The Margins: Contemporary Chicana Autobiographical Writing, Veronica Morales

Electronic Theses, Projects, and Dissertations

Chicana literature's emphasis on personal and collective narratives provides an essential critique of societal norms and injustices, illustrating how the intersections of gender, ethnicity, and class shape the lived experiences of Mexican American women in a rapidly changing world. This study analyzes nonfiction autobiographical narratives by three Chicana writers—Ana Castillo, Cherrie Moraga, and Sandra Cisneros—and the historical contexts of their production and reception. These texts focus on different aspects of Chicanismo, and when placed in conversation with each other they illuminate the multifaceted experiences of Chicanas from diverse backgrounds. All three writers have become well established in Chicana studies and …

Meta-Analysis Of Leadership Styles And Mental Health Management Strategies For University Leaders, Justin P. Mckinstry

Electronic Theses, Projects, and Dissertations

In this culminating project, a multiple-case study approach was used to investigate the impact of different leadership styles and their effects on mental health in the higher education sector. The research questions are: RQ1: What leadership styles in the past have positively affected employees' mental health at this higher education institution? RQ2: What leadership styles in the past have hurt employees' mental health at this higher education institution that caused a toxic work environment? Three real-world cases out of seventeen were selected and analyzed. The findings care RQ1: The transformational leader boosts and contributes to overall job satisfaction and well-being. …

Artificial Intelligence In Modern Game Development, Karan Raval

ART 108: Introduction to Games Studies

Artificial intelligence has transformed the landscape of game development in ways early pioneers could only imagine. In my project I explore four major phases of AI evolution: classical AI methods, the rise of machine learning, the advent of transformer architectures, and a spirited debate about whether transformers truly think. To illustrate these shifts I use examples like MYCIN, which helped doctors decide treatments, and Deep Blue, which beat a world chess champion. You’ve probably lost track of time exploring an open world that adapts to your choices, right? That sense of immersion is powered by AI behind the scenes. From …