Digital Commons Network^™

Using Generative Ai For Tutoring Data Science, Yusra Khalid

Theses

A large increase in the use of Generative AI has been observed in the last few years. Data science is also a rapidly growing field with a high demand for skilled professionals. The goal of this thesis is to explore the potential of Generative AI, specifically ChatGPT, in facilitating data science education. The focus is on how ChatGPT can be used as a tutor to help solve practical exercises. The capabilities of Generative AI were explored along with the comparison of a few different models in terms of data science. Exploratory analysis was conducted to compare Generative AI models and …

Classification Of Linear Systems Of Equations For Quantum Computing Implementation, Mark Danza

Theses

Drawing nearer to an error-corrected era of quantum computing, it is necessary to understand the suitability of certain post-NISQ algorithms for practical problems. One of the most promising, applicable, and yet difficult to implement in practical terms is the Harrow, Hassidim and Lloyd (HHL) algorithm for linear systems of equations. An enormous number of problems can be expressed as linear systems of equations, from machine learning to fluid dynamics to electrical circuit analysis. However, in most cases, HHL will not be able to provide a practical, reasonable solution to these problems. This work seeks to determine whether problems can be …

Sales Opportunities Lead Qualification In B2b Market, Hajar Hussain Ahli

Theses

This thesis addresses the challenge of inefficient lead qualification in the business-to-business (B2B) market by applying machine learning techniques to predict the likelihood of winning a sales opportunity. Using a real-world dataset of over 78,000 records and 17 variables, the study aims to improve how sales teams identify and prioritize high-conversion leads. A thorough data preparation process was conducted, including handling of missing values, outlier detection, and under-sampling to resolve class imbalance between won and lost opportunities. After thorough data cleaning, preprocessing, and under-sampling to address class imbalance, five machine learning models were developed: Logistic Regression, Random Forest, Neural Network, …

Instrapix – An Image-Based Digital Audio Workstation Design, Dan Qiao

Theses

InstraPix, a UI project designed by Dan Qiao, is groundbreaking image-and-audio conversion software and a digital audio workstation (DAW). enables bidirectional conversion between images and sound, opening new creative possibilities. With powerful image processing tools, it allows users to directly use pictures as audio sources, shaping unique sonic compositions. InstraPix also supports sound presets, VST plugins, and note editing, allowing seamless integration with other instruments. This all-in-one audio workstation could mark the beginning of a new era where music can be created entirely from images. Assigning images significant importance in audio production and minimizing the middle steps, it breaks the …

A Remote Sensing-Based Evaluation Of Road And Electricity Infrastructure Expansion Effects On Development In Sub-Saharan Africa, Tunmise Ibukun Raji

Theses

Sub-Saharan African countries consistently rank low on human development indicators despite decades of international aid and domestic investment. To address these challenges, governments across the region are allocating substantial portions of their national budgets to infrastructure expansion, viewing it as a catalyst for accelerated socio-economic development. However, given severely constrained budgets, these nations often face trade-offs between infrastructure development and investment in other important sectors such as healthcare and education. This highlights the need for infrastructure investments to deliver their anticipated benefits. This dissertation examines the relationship between infrastructure development and socio-economic development in Sub-Saharan Africa, with a particular focus …

Developing Meld-Accelerated Molecular Dynamics Protocols To Simulate The Binding Of The P53-Derived Ligand To The Mdm-2, X Protein, Maria Ciko

Theses

In this study, we focus on developing computational methods to predict protein-ligand binding affinities, with applications in peptide drug discovery. Molecular Dynamics (MD) simulations can capture the complex conformational behavior of proteins, but their high computational cost limits their efficiency. MELD, or Modeling Employing Limited Data, is a Bayesian approach that integrates external information to accelerate sampling of low- energy, high-probability conformations. Building on previous work by Morrone et al., which successfully applied MELD to P53-MDM2 complexes, we hypothesize that we can effectively compute the relative binding affinities while reducing steric clashes and mitigating the effect of slowed diffusion on …

Data-Driven Prediction Of Vehicle Residual Value In The Uae Automotive Industry, Meera Al Hashmi

Theses

In this master’s thesis, machine learning methods are applied to predict the residual value of a vehicle, focusing on the problem of estimating the vehicle’s price after sale. The research addresses some of the most important drivers of depreciation which include market segmentation, country, region-specific details, transmission type, and some numerical values obtained through factor analysis. This is very important to the automotive industry, leasing businesses, and financial institutions. The data was collected from the open-source online marketplace Dubizzle and contains 25 variables and 62,922 cases. The initial data posed notable challenges as there were non-standardized feature values, incomplete data …

Predicting The Probability Of Crime Related Danger In Los Angeles, Joshua Oghenetega Okpako

Theses

This thesis examines the use of advanced machine learning to predict crime danger in Los Angeles, where 2023 violent crime rates (503 per 100,000) surpass the national average (363.8 per 100,000). Rooted in theories like social disorganization and victim vulnerability, it addresses the lack of combined victim-centric modeling by focusing on three questions: (1) Do blended ensemble models outperform individual models in predicting crime danger? (2) Can unsupervised learning techniques enhance supervised models’ accuracy through label generation or augmentation? (3) How can we interpret accurate machine learning models' decision-making processes? Using historical crime data from Los Angeles (2020–2025) and various …

Innovating Criminal Justice: Predictive Analytics For Effective Recidivism Management, Dina Ali Haidar

Theses

Recidivism—the tendency of previously convicted individuals to reoffend—poses significant challenges to criminal justice systems worldwide. In the United States, a study by the Bureau of Justice Statistics revealed that approximately 68% of released prisoners were rearrested within three years, and 83% within nine years (Bureau of Justice Statistics, 2018). These high rates underscore systemic deficiencies in rehabilitation processes and resource allocation. Traditional risk assessment tools often rely on static factors, failing to account for the dynamic and individualized nature of reoffending risks. This limitation highlights the need for innovative, data-driven methodologies to enhance offender management strategies. This study proposes a …

Modelling And Optimization Of A Desiccant Cooling System For Industrial Applications In Dubai, Ahmad Ababneh

Theses

The study examines the modelling and optimization of solar-assisted desiccant cooling systems (SADCS) specifically designed for industrial applications in Dubai. Four system configurations were evaluated under Dubai's extreme climate using TRNSYS 18 simulation software: classic ventilation, variable percentage recirculation, ventilation with a sensible heat exchanger that utilizes exhaust air to preheat the feed of the auxiliary heating air, and recirculation with a sensible heat exchanger that also utilizes exhaust air for preheating the auxiliary heating air feed. A parametric study comprising 60 simulation cases was performed, examining variations in desiccant wheel effectiveness, airflow rates (3–5 ACH), regeneration temperatures (50–80 °C), …

Modelling And Load Frequency Control (Lfc) Design Of Microgrid Frame-Worked As Technological Norm To Multi Energy System (Mes), Mekonnen Shewarega Worku

Theses

In today's world, the trend of using renewable energy sources as an alternative energy source is becoming more and more common due to various driving factors, such as energy scarcity (fossil fuel depletion, etc.) and environmental issues (carbon footprint). This trend is leading to a steady increase in the penetration of renewable energy sources (RESs) through microgrid (MG), which is formed from combination of various distribution energy sources (DERs). The inherent intermittent nature of RESs coupled with abrupt load changes can instigate sustained frequency fluctuations and can keep the frequency deviation out of the allowable range that leads to an …

Crafting Human-Ai Collaborative Analysis For Usability Evaluations, Emily Kuang

Theses

In the rapidly evolving domain of human-computer interaction (HCI), ensuring a high-quality user experience (UX), which encompasses all aspects of a user’s interaction with an interface, is critical to the success and adoption of technology. Central to this is the concept of usability: the degree to which an interface can be effectively, efficiently, and satisfactorily used by its intended audience. Usability testing is a key method for uncovering usability problems, relying on structured evaluations involving real users. However, traditional approaches to analyzing usability test recordings—where UX evaluators observe user behavior and verbalizations while taking notes—are labor-intensive and prone to human …

Proactive Approach To Identify And Mitigate Cybersecurity Threats In Smart Building Using Ai, Shayma Abdulla Alhayyas

Theses

Smart buildings form a cornerstone of modern urban development. The integration of Internet of Things (IoT) devices in buildings has revolutionized facility management, improving system intelligence and user experience. However, these smart devices also introduce cybersecurity challenges and risks. The initiative "Identifying and Mitigating Cybersecurity Threats in Smart Building using AI" focuses on leveraging advanced artificial intelligence (AI) to address and mitigate cybersecurity threats within smart buildings. This study integrates predictive analytics, deep learning, and machine learning to identify and prevent cyberattacks, protecting sensitive data and networked IoT devices. By analyzing previous attack patterns, network behaviors, and potential vulnerabilities, this …

Investigating The Performance Variation For Graphene-Based Field-Effect Transistor, Tzu-Jung William Huang

Theses

As silicon CMOS technology approaches its scaling limits, two-dimensional (2D) materials such as graphene offer promising alternatives due to its atomically thin material property and high carrier mobility. Graphene field-effect transistors (GFETs) are especially suited for high-frequency and RF applications; however, large-scale integration is hindered by substantial device-to-device variability. Primary contributors include inconsistent graphene transfer, contact resistance, poor dielectric interfaces, and underlying substrate topography. This work presents a comparative study of three GFET architectures to address variability: (a) raised Al gate with 15 nm Al2O3, (b) raised Al gate with monolayer hexagonal boron nitride (hBN), and (c) recessed Al gate …

Steering Through Change: How Aging Eyes And Stroke-Induced Vision Loss Affect Driver Control, Arianna P. Giguere

Theses

Imaging system engineers could greatly benefit from understanding how biological systems have evolved to solve difficult imaging problems. In this thesis, we study how the human visual system has evolved to address the complex task of visually-guided steering, particularly as a person ages and experiences a prevalent type of vision loss from stroke called cortical blindness (CB) that results in the loss of one quarter to one half of the visual field. In a series of three studies, we test the hypothesis that the effects of CB on vision and steering extend beyond those that accompany healthy aging, and we …

Capturing Community Memory: A Juxtaposition Of Oral History And Historic Building Preservation, Eliot Gavin

Theses

Preserving local history has always been a challenge for small communities. Traditional preservation methods like historic building preservation can be costly and take a lot of time for local historical societies. These historic sites are important to the culture of the local citizens and deserve to be saved. Using The Castle on the Hill in Dansville, New York, as a case study, oral histories will be captured to explore the role of oral history in preservation. The Castle on the Hill plays an important role in shaping Dansville’s identity as a town. In the past, the Castle has served as …

Interplay Between Skeletal Muscle Catabolism And Remodeling Of Arteriovenous Fistula By Yes-Associated Protein 1 (Yap1) Signaling, Yongdong Wu, Tae Hoon Lee, Owen H Cheng, Eric K Peden, Qingtian Li, Jun Wang, Fengzhang Huang, Marites P Melancon, David Sheikh-Hamad, Tao Wang, Luan Truong, William E Mitch, Ming Liang, Jizhong Cheng

Faculty, Staff and Student Publications

Key Points:

1. Atrophied muscle–derived myostatin stimulated mesenchymal stem cell differentiation and adverse arteriovenous (AV) fistula remodeling through yes-associated protein 1 (YAP1) activation.

2. Treatment with myostatin peptibody inhibited muscle wasting and blocked mesenchymal stem cell activation and AV fistula fibrosis.

3. A light-sensitive drug-release strategy was engineered for the periadventitial delivery of verteporfin to improve AV fistula patency.

Background: Arteriovenous (AV) fistulas are the preferred access for dialysis but have a high incidence of failure. The aim of this study was to understand the crosstalk between skeletal muscle catabolism and AV fistula maturation failure.

Methods: Skeletal muscle metabolism and AV fistula maturation …

Overlapping Clinical Phenotypes In Patients With Primary Ciliary Dyskinesia Or Activated Phosphoinositide 3-Kinase Delta Syndrome, Adam J Shapiro, Eveline Y Wu, Deborah J Morris-Rosendahl, Kenneth N Olivier, Sharon D Dell, Scott D Sagel, Cullen M Dutmer, Ricardo A Mosquera, Markus Rose, Michael G O'Connor, Chi A Ma, Gulbu Uzel, Timothy J Vece, Maimoona A Zariwala, Michael R Knowles, Margaret W Leigh, Stephanie D Davis, Thomas W Ferkol

Faculty, Staff and Student Publications

Primary ciliary dyskinesia and activated phosphoinositide 3-kinase delta syndrome type 1 present similarly, with recurrent respiratory infections and reduced nasal nitric oxide levels. When diagnostic confirmation of primary ciliary dyskinesia with genetic testing and/or ciliary electron microscopy is inconclusive, activated phosphoinositide 3-kinase delta syndrome type 1 and other inborn errors of immunity must be investigated.

Incorporating Recycled And Repurposed Plastic Into 100% Reclaimed Asphalt Pavement, Basant Bhatt

Graduate Theses and Dissertations (2019 - present)

The increasing awareness of sustainability in the asphalt industry has driven the use of recycled materials like reclaimed asphalt pavement (RAP) and waste plastic. This study examines the incorporation of recycled polypropylene (rPP), recycled high-density polyethylene (rHDPE), and recycled low-density polyethylene (rLDPE) at 0.3%, 0.6%, and 0.8% dosages into 100% RAP, along with the warm mix asphalt additive Evotherm® P25. Laboratory tests were conducted to evaluate the mechanical and durability performance of the modified asphalt mixtures while rutting and fatigue life were evaluated using mechanistic-empirical (ME) analysis in PerRoad software. Both plastic type and dosage had a statistically significant impact …

A Theoretical Model Of Participatory Team Science Training, Angela E. Jordan

Graduate Theses and Dissertations (2019 - present)

BACKGROUND: Teams have long been used to address major scientific and societal problems, and interdisciplinary teams are understood to be the best approach to complex systems-based problems like climate change. Engaged research collaborations incorporating community members as equal partners in research projects are recognized as both a means of advancing equity and justice in research, and also of improving the success of research translation by developing solutions with community use-value. The science of team science (TS) and community-engaged research (CEnR) have emerged as scholarly disciplines, with attempts to define competencies, skills, functioning, and success. A growing body of literature in …

Legacy Liabilities For Oil And Gas Wells Under The Mineral Leasing Act, Martin Lockman, Ashwin Murthy, Romany M. Webb

Sabin Center for Climate Change Law

The federal government is the largest landowner in the United States. The bulk of federal land is controlled by the Bureau of Land Management (“BLM”), an agency within the Department of the Interior (“DOI”) that manages more than 245 million acres or approximately 10% of the land in the United States. Below the ground, BLM’s authority reaches even further. In total, BLM controls around 700 million acres of minerals — 30% of the onshore mineral resources in the United States, spanning an area larger than Argentina. The enormous scale of oil and gas production on federal land has created a …

The Benefits Of Different Graphic Design Elements And What Satisfies Consumers, Kathryn R. Marston

Honors Theses

This thesis investigates the principles, elements, methodologies, and emerging trends of website design. It has a focus on user experience and design elements such as color, shape, and fonts. As websites have evolved from being a place to share information to a place where goods are bought and sold, design directly impacts the satisfaction of the consumer using the website. This study explores the connection between graphic design and user experience elements and satisfaction of consumers.

The research uses qualitative research to discover the impact of graphic design elements of a website including color scheme, button shapes, and font styles …

Highly Pathogenic Avian Influenza Outbreak Preparedness In The United States: A Scoping Review, Emma J. Gurley

Honors Theses

In order to gauge preparedness for an outbreak of highly pathogenic avian influenza (H5N1) in the United States, a scoping review of the current literature was conducted. This process involved (1) identifying the research question, (2) identifying studies relevant to the topic, (3) selecting studies for inclusion (4) charting the data, and (5) analyzing and reporting the final data. Ultimately, seventeen studies were deemed appropriate for examination within this scoping review and several key themes were identified. The results emphasize the importance of adopting a One Health approach, the key role that vaccination may well play in preventing the spread …

Design And Evaluation Of Antibody-Conjugated Microneedle Patch For Early Mrsa Biomarker Detection, Kylee Marie Pop, Alexis Richie, Nicholas Jenkins, Andrew Holmes

Honors Theses

Post-operative orthopedic surgical site infections (SSIs), specifically those caused by methicillin resistant Staphylococcus aureus (MRSA), present a significant clinical challenge due to delayed detection, increased morbidity, and current rising healthcare costs. Early detection of infection remains limited due to the current methods of diagnosis, which consist of observation of the surgical site and laboratory infrastructure for conformation of infection. To combat these issues, my team and I have designed and evaluated a minimally invasive microneedle diagnostic patch that continuously monitors for the presence of MRSA-associated biomarker PBP2a in interstitial fluids around surgical site incisions. Upon antigen detection, a colorimetric response …

Groundwater Storage Dynamics In Abu Dhabi Emirate Using In-Situ And Grace Data, Tala Jalal Maksoud

Theses

Water scarcity presents a significant challenge to the sustainable development; especially in arid regions like Abu Dhabi Emirate. Addressing concerns over nonrenewable aquifer depletion, caused by agricultural expansion and lifestyle advancements, has, therefore, become crucial in such regions. This thesis investigates Groundwater Storage (GWS) dynamics in Abu Dhabi Emirate by integrating satellite data from the Gravity Recovery and Climate Experiment (GRACE) with in-situ data from 257 wells over two decades (2002-2022), employing GIS and RS technologies. The main aim of this study is to provide a comprehensive approach to evaluate GWS dynamics considering multiple perspectives including: dealing with missing datasets, …

A High Resolution Photographic Guide For Identifying Fiddler Crabs From The Shores Of The Atlantic Ocean, Abby Hutchins

Undergraduate Student Work

This project created a comprehensive, high-resolution photographic guide for identifying the 23-known species of fiddler crabs inhabiting the coastal regions of Europe, East Africa, North America, the Gulf of Mexico, the Caribbean, and South America. The primary objective is to produce clear, detailed images that highlight key morphological features necessary for accurate species identification. These images will serve as an accessible reference for educators, students, and scientists involved in biodiversity studies, ecological monitoring, and conservation efforts. It will be available to the general public world-wide, at the ScholarWorks web page by the University of Northern Iowa’s Rod Library, https://scholarworks.uni.edu/fiddlercrabs/ By …

Empirically Exploring The Physical Realizability Of Adversarial Examples, Ruoyao Wen

McKelvey School of Engineering Graduate Student Theses & Dissertations

The development of autonomous vehicles (AVs) has been accelerated by advancements in deep neural networks (DNNs), which power the complex perception systems necessary for safe and efficient real-world navigation. However, as AVs increasingly integrate into public transportation networks, the robustness of their perception systems against potential vulnerabilities is critical. Among these threats, adversarial attacks—particularly through the use of adversarial patches—pose significant risks. These patches are carefully crafted perturbations designed to mislead DNNs, potentially compromising AV safety by causing incorrect object recognition or misclassification.

While extensive research has demonstrated high attack success rates for adversarial patches in controlled digital environments, their …

Compartmental Disaggregation: Bridging Simulation And Sampling Methods For Synthetic Population Data Generation, Dylan Mack

McKelvey School of Engineering Graduate Student Theses & Dissertations

As agent-based models (ABMs) grow increasingly widespread in public health, their associated challenges have become all the more significant. Lauded for their ability to capture population heterogeneity, nonlinear dynamics, and emergent behaviors, disease ABMs are also computationally expensive and often require detailed inputs that describe each agent at the individual-level, known as synthetic population data. Current approaches for synthetic population data generation generally fall into one of two categories: sampling or simulation. These methods are both feasible only under restricted conditions and suffer from challenges surrounding data availability and computing power. This thesis proposes compartmental disaggregation, an intermediate method for …

Catalyst To Connection: Addressing Social Isolation Through Youth Workshop, Julia Nichols

Capstone Projects and Master's Theses

Social isolation is a silent, yet extreme issue that many people in the United States are facing everyday that bleeds into many aspects of an individual’s life. In order to address this issue within the community, Safe Families for Children Monterey Bay implemented this capstone project. Safe Families for Children Monterey Bay is a preventative measure organization that works to help support families in crisis in order to keep children out of the foster care system and families together. The community served by this agency are primarily single-parent families with children who are facing social isolation. The purpose of the …

Impact Of Afterschool Programs On Students; Social Development And Emotional Learning, Natalie B. Harper

Capstone Projects and Master's Theses

Afterschool programs are described as activities that are organized and structured outside of the regular school day where there is a time where there is no academic pressure and, therefore, is a time with the potential to enhance social-emotional skills development and learning. The capacity to genuinely implement social emotional learning (SEL) programs that are hindered by difficulties in staff training and turnover, in addition to funding. This senior capstone project explores the impact of afterschool programs on students' social and emotional learning at a Monterey Bay charter school, especially in their ability to impact peer and teacher relationships, ultimately …