Digital Commons Network^™

Understanding The Properties Of Repair Protein P26 For Dry-State Preservation Of Biological Materials., Hannah Skaggs

College of Arts & Sciences Senior Theses

The preservation of complex biological materials in the frozen state has been well established and plays a critical role in the advancement of clinical applications and the pharmaceutical industry. Cryopreservation of complex biological materials has several clinical applications, including vaccine preservation, bone marrow transplants, cell therapeutics, and increasing the shelf life of red blood cells (RBCs) for transfusion. However, many challenges are present, including the use of toxic protective agents and the financial burden of maintaining extremely low temperatures between 193.15 and – 77.6 K (Parihar, Kumar et al. 2023). Lyophilization, or freeze-drying, presents an opportunity to mitigate such challenges. …

The First Of Its Kind--The Impact Of Wher-Am And Wdia In Postwar Memphis Radio., Emily Stucky

College of Arts & Sciences Senior Theses

In 1947, WDIA Memphis became the first radio station in the U.S. to switch to programming featuring only Black performers and announcers. Eight years later in 1955, WHER-AM became the first all-female radio station in the country, also originating in Memphis, Tennessee. This thesis will discuss the ways WHER and WDIA have both contributed to and reflected social change movements between 1947 and 1970, from civil rights to feminism. Substantive sources include media perceptions of both stations through local newspapers, interviews with early participants, and various secondary scholarship on the impact of both stations. Ultimately, I argue that Memphis’s racialized …

Recombinant Expression And Purification Of Porphyromonas Gingivalis Tyrosine Kinase 1 In Escherichia Coli., Laura K. Hanna

College of Arts & Sciences Senior Theses

The goal of this study was to optimize the expression and purification of Porphyromonas gingivalis Tyrosine Kinase 1 (Ptk1) in recombinant Escherichia coli containing the plasmids Gro_ESL and Ptk1, with a His₆ tag_, to obtain a highly pure protein sample. Various experimental conditions were tested to determine the most effective parameters for protein expression and purification, including adjustments in induction timing, buffer composition, and purification techniques.

Optimal protein expression was achieved when cells were induced at an optical density (OD) of 0.3 to 0.4. β-D-1-thiogalactopyranoside (IPTG), which activates the lac operon, was used to induce Ptk1 expression. A …

Efficacy Of Mitophagy Inhibition As A Potentiating Agent For Conventional Chemotherapy, Morghan Relich, Shelby Bess

Biomedical Engineering Undergraduate Honors Theses

Cancer is a result of uncontrolled growth and reproduction of cells. Damaged or abnormal cells grow and multiply when they should not and in turn the cells continue to proliferate and metastasize. Malignant cells rely on functional mitochondria for proliferation, metastasis, and survival. These mitochondria maintain a functional mitochondrial network through a quality control mechanism called mitophagy. Mitophagy is a conserved intracellular process to maintain quality control and remove damaged mitochondria.

Previous research has been done to examine the effects of mitophagy in tumor cells, as well as the effects of mitophagy inhibition. One focus of current research has been …

Graduate List - May 2025, University Of Nebraska At Omaha

Commencement Lists

No abstract provided.

Chhatrapati Shivaji Maharaj International, Sahit Liyanage

A Midwestern Review: A Magazine of the Arts and Issues at DePauw University

Sahit Liyanage is a Freshman at DePauw University. He is yet to declare a major, but it will be either English Writing or a double major in English Writing and Biology. He enjoys wildlife photography, boxing and badminton.

The Ethics And Legality Of Artificial Intelligence Artwork: A Vulnerability Theory Analysis, Gayatri Rajamony

Computer Science Honors Theses

No abstract provided.

A Deep Dive Into Integrals: From Riemann, Stieltjes, Lebesgue To Henstock–Kurzweil, Sydney C. Johnston

Math Honors Theses

Integration theory is broadly concerned with the existence of solutions to definite integrals over closed subintervals of the real line, and its power lies in the various techniques of integration, which enable integration of successively broader classes of functions. In this work, we establish a self–contained theory of integration in the sense of Riemann, Riemann–Stieltjes, Lebesgue, and Henstock–Kurzweil. Notably, our work utilizes the theory of Lebesgue integration developed by P. J. Daniell, which does not rely on measure theory and thus remains accessible at the undergraduate level. Our incentive for such an approach is to improve equitable access to advanced …

U.S. Options Exchange-Traded Funds: Performance Dynamics And Managerial Expertise, Elroi Hadad, Davinder K. Malhotra, Robert Mcleod

School of Business Faculty Papers

This study examines the performance dynamics of U.S. options exchange-traded funds (ETFs), whose investment strategy involves options contracts. Analyzing monthly returns data from February 2014 to April 2023, we evaluate the risk-adjusted performance, volatility, and market sensitivity of U.S. options ETFs relative to U.S. and global equities. Using Carhart's four-factor model, we find that U.S. options ETFs yield lower monthly returns than those of U.S. equities but outperform global equities, suggesting potential diversification benefits. While U.S. options ETFs underperformed during the COVID-19 pandemic, they demonstrated resilience thereafter, offering higher rewards for downside risk. We also find that managerial expertise may …

Do Sports Events Affect Public Education? Evidence From Omaha, Nebraska, Wes Wasserburger

Economics Honors Theses

Omaha, Nebraska, hosted the United States Olympic Swimming Trials for the first time in 2008. This paper investigates the impact of this local stimulus on educational quality, as measured by expenditures per student and the pupil-teacher ratio. A two way fixed effects estimator, an event study regression, and a synthetic control estimator are used to demonstrate that hosting the Olympic Trials reduced educational quality in Omaha. Potential mechanisms and alternative explanations for this educational impact are discussed. This paper proves that a local economic stimulus, particularly a large-scale sporting event, does not enhance educational quality. More broadly, these results illuminate …

Advancing Efficiency Of Unstructured Mesh Processing With Localized Data Structures, Guoxi Liu

All Dissertations

Unstructured meshes are widely used to represent complex shapes and data in visualization tasks, such as medical imaging, engineering design, and geometric modeling. However, their unevenly distributed elements make them memory-intensive and time-consuming to process, especially as mesh sizes grow. This research focuses on improving the efficiency of processing large unstructured meshes by reducing memory usage and speeding up computations. This doctoral dissertation introduces three methods to address these challenges. The first approach divides the mesh into smaller partitions and processes it piece-by-piece, reducing memory requirements by up to 10 times. The second approach uses the processor's parallel computing capabilities …

Sidewindings, Jeff Marvel

Graduate Thesis Collection

A memoir cataloguing the impacts of my late-onset Type 1 diabetes diagnosis at the age of 26, in which I attempt to realize the ways in which my sense of self, and sense of the world around me, has been altered or disfigured by this hardly-visible disease.

Evaluation Of Escherichia Coli Lithium Binding Properties, David Andrew Gonzalez

Theses (2016-Present)

Lithium is a commonly used element in everyday items such as batteries, electronics and industrial applications. With the common use of lithium comes the problem of what to do with lithium waste. This problem calls for the need of an efficient environmentally friendly recovery process. This study investigates the potential of Escherichia coli for lithium biosorption in aqueous solutions. Although the roles of copper and Bacillus coagulans were initially explored for comparative biosorption potential, they were not used in experimental trials. This study explores the potential of E. coli and its potential for lithium biosorption in water solutions. Lithium chloride …

Level Of Fidelity Adaptation Of Structural Models To Support In-Space Servicing, Assembly, And Manufacturing (Isam), Maximilian Manuel Rothblatt

Open Access Theses & Dissertations

In-space servicing, assembly, and manufacturing (ISAM) operations increasingly rely on digital twin technology to perform predictive structural analysis in resource-constrained environments. A key challenge in deploying structural finite element analysis (FEA) within a digital twin lies in determining mesh fidelity settings that balance simulation accuracy with computational efficiency. This thesis presents the development of a MATLAB-based adaptive mesh refinement framework designed to identify optimal FEA mesh parameters prior to integration into a digital twin system.

The tool iteratively refines mesh resolution across faces, edges, and vertices based on von Mises stress distribution and convergence behavior. Termination criteria are governed by …

Finding Bert Errors By Clustering Activation Vectors, William B. Andreopoulos, Dominic Lopez, Carlos Rojas, Vedashree P. Bhandare

Faculty Research, Scholarly, and Creative Activity

The non-linear nature of deep neural networks makes it difficult to interpret the reason behind their output, thus reducing verifiability of the system where these models are applied. Understanding the patterns between activation vectors and predictions could give insight as to erroneous classifications and how to identify them. This paper explains a systematic approach to identifying the clusters with the most misclassifications or false label annotations. For this research, we extracted the activation vectors from a deep learning model, DNABERT, and visualized them using t-SNE to decode the reason behind the results that are produced. We applied K-means in a …

Aircraft Routing And Crew Pairing Solutions: Robust Integrated Model Based On Multi-Agent Reinforcement Learning, Chengjin Ding, Yuzhen Guo, Jianlin Jiang, Wenbin Wei, Weiwei Wu

Faculty Research, Scholarly, and Creative Activity

Every year, airlines invest considerable resources in recovering from irregular operations caused by delays and disruptions to aircraft and crew. Consequently, the need to reschedule aircraft and crew to better address these problems has become pressing. The airline scheduling problem comprises two stages—that is, the Aircraft-Routing Problem (ARP) and the Crew-Pairing Problem (CPP). While the ARP and CPP have traditionally been solved sequentially, such an approach fails to capture their interdependencies, often compromising the robustness of aircraft and crew schedules in the face of disruptions. However, existing integrated ARP and CPP models often apply static rules for buffer time allocation, …

How To Use Social Media And Artificial Intelligence To Promote Mental Health Among Chinese And Chinese American College Students In The U.S., Ni Zhang, Jingru Guan, Terry Zou, Tianqin Shi, Kaikai Liu

Faculty Research, Scholarly, and Creative Activity

This study explored the potential of using social media and artificial intelligence (AI) to tackle language and cultural barriers in order to promote mental health among Chinese and Chinese American college students. Ten bilingual (Chinese Mandarin and English) focus group sessions were conducted over Zoom with 26 Chinese and Chinese American students at a university on the west coast of the United States between October 2023 and February 2024. Thematic analysis of the focus group meeting transcripts was conducted via deductive coding and then inductive selection of quotes on Google Document and Nvivo. Social media provides a platform for providing …

Back To The Basics: Extracellular Protein Interaction Networks Of The Human Infant Immune System, Mavis Amity Irwin

Theses

Datamining without an age filter proves challenging, especially when searching for direct data from human infants. Although online databases provide immune interaction networks, they often lack information about the age of data sources, resulting in categorizations as age-unspecified. This limitation underrepresents the physiology of naïve immune systems in infants, particularly since full-term infant immunity transitions to an adult-like phenotype between 24 and 30 months of age. This study aims to reconstruct an age-specific immune interaction network for full-term infants by integrating literature-based evidence with existing online database content. A list of 60 extracellular protein candidates involved in immune responses was …

Methods Of Quantum Circuit Simulation: A Comprehensive Comparative Analysis, Anthony Peter Bacchetta

Theses

The advent of quantum computing has ushered in a new era of computational capabilities, promising to solve problems that were previously intractable for classical computers. Quantum circuit simulation is an essential aspect of harnessing the potential of quantum algorithms, and understanding quantum systems. This thesis presents an exploration and comparative analysis of various methods used in the simulation of quantum circuits, aimed at providing a comprehensive understanding of their strengths, weaknesses, and practical applications. This starts with a dive into the foundational concepts of quantum circuits, quantum gates, and the fundamental principles underlying quantum computation. Quantum circuit simulation emphasizes the …

Innovative Solutions For Data Accessibility: Utilizing Synthetic Data In Dewa Operations, Saif Khalid Alshahin

Theses

Smart‑meter data are pivotal to modern demand‑side management and predictive maintenance, yet strict confidentiality rules at Dubai Electricity and Water Authority (DEWA) hinder internal access. Synthetic data generated by Generative Adversarial Networks (GANs) offers a promising privacy‑preserving alternative, potentially unlocking analytics without exposing customer information. This study assesses the ability of three GAN variants—vanilla GAN, Tabular GAN (TGAN), and Conditional Tabular GAN (CTGAN)—to replicate real consumption patterns. A publicly available \emph{Smart Meters in London} daily dataset comprising 3.51 million records was utilised. After exploratory data analysis (EDA) and cleansing, identifier (\texttt{LCLid}) and date (\texttt{day}) variables were removed, leaving seven numerical …

Towards Vision Intelligence-Based Liver Surgery, Zixin Yang

Theses

Despite advancements in surgical interventions, modern procedures still heavily rely on surgeons' expertise, requiring extensive training while maintaining limited accuracy. Although image guidance systems have been developed, “GPS-like” surgical navigation systems have yet to become standard practice due to their high costs and accuracy limitations. This thesis aims to enhance surgical navigation and mitigate some of its current limitations by leveraging vision intelligence: integrating image processing, modeling, and computer vision to extract rich, underlying information from images. The key to achieving these improvements lies in improving surgical perception, which involves understanding the spatial relationships between the endoscopic camera, surgical instruments, …

Intellimad: A Framework For Secure Machine Learning Models Evaluation And Fine-Tuning In Federated Setting, Dmitrii Korobeinikov

Theses

In contemporary artificial intelligence (AI) appli- cations, Machine Learning (ML) models are core components enabling AI-driven functionalities, yet selecting and fine-tuning a model and its hyperparameters remains challenging. ML model architecture, as well as key model training parameters, such as the number of training epochs, batch size, and learning rate, are highly dependent on both the dataset modalities and the specific task resolved in a particular application. More sophisticated execution setups may require determination of additional environment-related parameters, such as identifica- tion of computational capabilities required for execution of a particular AI-driven task, or discovery and establishment of desired security-related …

Cart To Doorstep, Giridhar Yadav Nazarapur

Electronic Theses, Projects, and Dissertations

Due to hectic schedules and long working hours, many people find it challenging to allocate time for traditional shopping in today's fast-paced world. This often leads to a preference for online shopping, as it provides convenience and flexibility. However, despite its benefits, online shopping still lacks a seamless experience where customers can easily access a wide range of products, manage their shopping preferences, and make hassle-free payments—all from the comfort of their homes. To address this, the "Cart to Doorstep" project was developed. This web application aims to create an efficient and user-friendly online shopping platform that streamlines the shopping …

Virtual Makeup And Technology Integration, Vishwa Bhatt

Electronic Theses, Projects, and Dissertations

The Virtual Makeup Streamlit application presents an advanced approach to digital cosmetic try-on by allowing users to apply makeup to their facial images in real time. This project uses computer vision and web technologies to create an interactive and user-friendly platform that capitalizes on the increasing popularity of virtual try-on solutions in the cosmetics industry.

At its core, the system uses effective facial detection and semantic segmentation techniques to recognize and separate facial areas such as lips and hair. Techniques such as U-Net and Resnet, and Midepipe are used to create accurate segmentation masks, which are essential for accurate makeup …

Experimental Study Of Process Parameter Effects On Internal Defects In Titanium Coaxial Wire-Based Laser Metal Deposition, Remy Mathenia, Braden Mclain, Todd Sparks, Frank Liou

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Wire-based laser metal deposition is an additive manufacturing process that can be used in the efficient manufacturing of complex structures. This paper utilizes a three-beam coaxial laser wire system to explore the effect of process parameters on the resultant deposition density. The reduction in or elimination of defects is important to the mechanical properties of the additively manufactured material and the widespread adoption of additive manufacturing processes. In this work, two-bead-wide walls were deposited under varying experimental conditions, including the traverse feed rate and workpiece illumination proportion. A method for calculating the bead pitch and layer height increment based on …

Racial Bias In Ai: The Impact Of Discriminative Algorithms On Minority Communities, Morgan A. Jones

FCRH Honors Program Theses

With the rise of generative AI infiltrating many areas of our everyday lives, it's essential to acknowledge how AI can be trained on discriminatory data. When these AI systems are trained with information that is racist, they produce answers that possess a racial bias, which further perpetuates and enforces the systemic inequalities that minorities experience. Prior research discusses that racial bias is a problem in the use of AI and provides case studies on how racial bias has been enacted in large-scale projects. However, this research does not explain or acknowledge the long-term effects of racial bias on minorities. This …

Impact Of Altering Gut Microbiota With Multinutrient Supplementation On Neuropsychiatric Symptoms In Attention Deficit/Hyperactivity Disorder, Benjamin Hinkle

Physician Assistant Scholarly Project Papers

Attention-Deficit/Hyperactivity Disorder (ADHD) is a prevalent neuropsychiatric condition affecting children, often characterized by inattention, hyperactivity, and impulsivity. Recent evidence suggests a potential link between gut microbiota composition and neuropsychiatric disorders, including ADHD, through the gut-brain axis (GBA). A literature review of studies published between 2017 and 2024 explores the efficacy of multinutrient interventions on influencing gut microbiota to treat the core symptoms of ADHD in children ages 6-12 years old. Findings indicate that multinutrient supplementation may modulate gut microbiota and subsequently impact neuropsychiatric symptoms, offering a promising adjunctive treatment for ADHD. However, variability in study methodologies and small sample sizes …

The Comparison Of Once Daily Insulin And Once Weekly Insulin In Patients With Diabetes Mellitus, Carly Gilbertson

Physician Assistant Scholarly Project Papers

Diabetes mellitus is a chronic metabolic disorder characterized by hyperglycemia resulting from defects in insulin secretion, insulin action, or a combination of both. The purpose of this literature review is to determine if patients with diabetes mellitus taking once weekly insulin injections compared to once daily insulin injections offer the same, or better, effectiveness at lowering their HbA1c. This is critical in the management and progression of the disease. The electronic databases PubMed, Clinical Key and Embase were searched and there were 92 articles found. Inclusion criteria included articles published within the past 5 years, randomized clinical trials and meta-analysis. …

Mixing-Controlled Compression Ignition Of Ethanol Using Exhaust Rebreathe At A Low-Load Operating Condition—Single Cylinder Experiments In A Heavy-Duty Diesel Engine, Tyler Johnston, Jared Zeman, Adam Dempsey

Mechanical Engineering Faculty Research and Publications

As pollutant emissions regulations in the heavy-duty sector become further stringent, the energy requirements in this sector continue to increase. Due to the high-power density and operating period requirements within this sector, full electrification is challenging. A viable solution to meet the stringent requirements for criteria pollutant and greenhouse gas (GHG) emissions is the use of low carbon renewable fuels. Low carbon renewable fuels are desirable due to their lower carbon content per unit energy compared to conventional fossil diesel fuel. However, implementing some low carbon renewable fuels in the heavy-duty sector poses challenges due to their low reactivity and …

Pollination Synchrony Along A Great Lakes Thermal Gradient, Joe Armstrong

Biology Theses

Pollination is an essential mutualistic interaction between plants and animals. Often agricultural crops rely on successful pollination to provide profitable and nutrient rich harvests. Successful pollination requires synchrony between flowers and pollinators. Western New York with its proximity to the Great Lakes has benefited as a Climate refugia; however, recent climate change and increased temperature variation have threatened regional fruit crops. In this thesis, I explored the synchrony between native pollinators, non-native pollinators, and apple flowering along a coastal to inland gradient for farms in Niagara County. I measured temperature, evaluated apple flower phenology, and harvested pollinators during the Spring …