Digital Commons Network^™

Analytics Insights From Text: Machine Learning, Ai, And Sentiment Analysis On Beige Books, Charlie Smith

Graduate Theses and Dissertations (2019 - present)

Business analytics is about drawing actionable insights from data. These distinct but connected essays represent a novel approach to explore how natural language processing (NLP) advances and machine learning can transform unstructured text data into actionable conclusions. Essay 1 provides a broad framework. Essay 2 strengthens the sentiment analysis with the most recent artificial intelligence methodologies for capturing nuanced sentiment in complex texts. Essay 3 applies those insights to forecast recessions using topics that can be readily interpreted and applied.

The research demonstrates how these methodologies can be applied to enhance understanding of the same dataset, Beige Books. Published by …

Prescription For Progress: A Retention Plan To Heal The Dying Nurse Workforce, Margaret Curd

Senior Honors Theses

The United States is currently facing an unprecedented nursing shortage which stems from many variables, including a lack of clinical rotation sites for students, increased burnout among current nurses, and a growing retiring workforce. Rising nurse turnover rates negatively impact patient outcomes, which should concern all levels of management. One specific hospital facing such an impact is Advocate Christ Medical Center in Oak Lawn, Illinois. This thesis seeks to address their substandard staffing ratios in an extensive, holistic strategic retention plan. Metrics for proving the plan’s success are provided alongside a discussion of proper calculations for each.

Comparative Analysis Of Regression And Random Forest Models For Player Performance Prediction In The Mls, Joshua Clement Madeti

Senior Honors Theses

Advanced technology and analytics have transformed the world and have benefited several industries throughout, the sport industry being one of them. Data is constantly generated during sports and requires post-game or post-season analysis which is crucial to team and player success. In this paper, the researcher will focus on the impact of analytics on soccer and soccer players. With over three billion active fans, soccer is the most famous sport in the world yet, when it comes to analytics, it is lagging. The thesis includes a comparative study of multiple linear regression and random forest regression to explore whether these …

A Gamified Mobile App For Learning Linguistics: Applying Software Design And Thinking To Educational Engagement, Michael J. Rourke

Honors College Theses

This thesis explores how mobile app technologies—particularly gamification, adaptive learning algorithms, and user-centered UI/UX design—can be used to make linguistics education more accessible and engaging. Drawing on recent scholarship in educational technology and human-computer interaction, I developed a React Native-based mobile application that introduces users to core linguistic concepts such as phonetics, syntax, and semantics through interactive mini-games. The academic component of this thesis synthesizes research on best practices in educational app design and documents the full design and development process. The project demonstrates how creative computer science work can be informed by scholarly literature while producing a functional tool …

Assessing The Professional Development Needs Of Traditionally And Alternatively Certified Career And Technical Education Teachers In Virginia, Natalie Ferand, Bradley Bowen, D. Brett Milliken

Journal of Research in Technical Careers

The Virginia Department of Education allows for various paths to teacher licensure. Teachers may graduate from an approved teacher preparation program or obtain a teaching license through alternative pathways. This study identified the professional development needs of traditionally and alternatively certified CTE teachers in Virginia by administering a statewide survey. The participants were divided into three groups: alternatively certified CTE teachers (Group 1), traditionally certified teachers in a non-CTE area and then received a CTE endorsement (Group 2), and traditionally certified teachers in CTE (Group 3). By comparing how teachers from each of these certification pathways reported their level of …

How Do Parents Influence Female Students' Engineering Trajectory?, Niloufar Bayati, Cameron Denson

Journal of Research in Technical Careers

Using the Parental Socialization Framework, this research provides a detailed analysis of how early STEM exposure, parental confidence in abilities, and gender-neutral upbringing contribute to the development of STEM identities among women. Employing a hermeneutic phenomenological approach, six undergraduate women engineering majors were interviewed in-depth about their parents' influence on their STEM pathways. The findings reveal that parents' high academic expectations, confidence in their daughters' abilities, verbal and non-verbal encouragement, and early STEM opportunities are pivotal in steering female participants toward engineering. The study also underscores the importance of creating a gender-neutral environment that allows girls to explore and develop …

School-Based Agricultural Educators’ Educational Technology Integration Self-Efficacy And Technological Pedagogical Content Knowledge: A Relational Study, Macey Kleinjan, Brooke L. Thiel, Adam Marx

Journal of Research in Technical Careers

The purpose of this study was to assess the relationship between school-based agricultural education (SBAE) teacher Technological Content Knowledge, Pedagogical Content Knowledge, and Technological Pedagogical Knowledge and teachers’ technology integration self-efficacy through the use of TPACK and the Intrapersonal Technology Integration Scale (ITIS). In-service SBAE teachers from four upper-Midwest states were surveyed to assess their current self-efficacy related to the integration and utilization of the educational technology available in their classroom and curriculum. According to the findings of this study, SBAE teachers are using educational technology in their classrooms and curriculum daily but are only slightly confident in their ability …

Structural Vibration Analysis Of The Multi Mission Radioisotope Thermoelectric Generator (Mmrtg) On The Martian Surface, Christopher Brown

Master's Theses

A Multi-Mission Radioisotope Thermoelectric Generator (MMRTG) is a radioisotope power system designed for use within both planetary atmospheres and the vacuum of space. A radioisotope power system uses a radioisotope fuel source which generates heat that is then converted into electricity by the system’s thermocouples. These generators are used as a power source on space missions with very long service durations. MMRTGs have a required usage lifespan of roughly fourteen years, therefore the system must withstand stressors without suffering significant structural damage that would affect their functionality.

It is important to take into consideration that MMRTGs house radioactive materials; therefore, …

Montana Kaimin, May 1, 2025, Students Of The University Of Montana, Missoula

Montana Kaimin, 1898-present

Student newspaper of the University of Montana, Missoula.

Elliptic Curves And Their Applications In Cryptography, Mercedes Danange Moll

Theses

This thesis explores the mathematical foundations and cryptographic applications ofelliptic curves. To understand elliptic curves, we start by introducing group theory, ring theory, and field theory. Then, we dive into elliptic curves, their algebraic structure, and the group law defined on their points. We then examine elliptic curves over finite fields, leading to the discrete logarithm problem and key cryptographic applications such as Weil Pairings, the Diffie-Hellman key exchange, Digital Signature Algorithm, and Elliptic Curve Digital Signature Algorithms. Using the theory and its application, this thesis highlights the significance of elliptic curves in modern cryptography.

Particle-Based High-Fidelity Interface Tracking Algorithms, Taiyuan Zhang

Dartmouth College Master’s Theses

Accurate interface tracking is essential in simulating multiphase flows, material deformation, and other physical phenomena involving evolving geometries. In this thesis, we present an adaptive dual-particle representation for high-fidelity interface tracking. By combining two types of particles—feature particles and sample particles—we construct an implicit representation that captures fine geometric details. This representation is evolved explicitly using a velocity flow field, enabling accurate and adaptive tracking of dynamic interfaces. We further propose a particle level set method on the flow map, leveraging the state-of-the-art accuracy of particle-based advection. By integrating this approach with the particle level set framework, we achieve fourth-order …

Innovative Methods For The Design And Analysis Of Phase Ii Clinical Trials, Feng Tian

Dissertations and Theses (Open Access)

Drug development has become increasingly time-consuming, costly, and risky in recent years. There is significant potential for improving clinical trial designs, particularly for phase II trials, which play a critical role in the drug development process. Innovative methods are especially necessary for addressing key challenges in phase II trials in terms of dose-ranging study, patient population selection, and decentralized clinical trials (DCTs). This dissertation presents a comprehensive set of methodologies that address these critical issues with three projects. The first project introduces a Bayesian adaptive dose-ranging design that integrates both efficacy and toxicity data to evaluate each dose comprehensively. The …

Dual-Criterion Dose Finding Designs For Phase I Clinical Trials, Yunlong Yang

Dissertations and Theses (Open Access)

The primary objective of Phase I oncology trials is to assess the safety and tolerability of novel therapeutics. Conventional dose escalation methods identify the maximum tolerated dose (MTD) based on dose-limiting toxicity (DLT). However, as cancer therapies have evolved from chemotherapy to targeted therapies, these traditional methods have become problematic. Many targeted therapies rarely produce DLT and are administered over multiple cycles, potentially resulting in the accumulation of lower-grade toxicities, which can lead to intolerance, such as dose reduction or interruption. To address this issue, we proposed dual-criterion designs that find the MTD based on both DLT and non-DLT-caused intolerance. …

Automated Radiotherapy Treatment Planning For Breast Cancer: A Robust To Ol For Global Deployment, Hana Baroudi

Dissertations and Theses (Open Access)

Breast cancer incidence continues to rise worldwide, particularly in low- and middle-income countries, where limitations in resources already constrain access to timely care. Radiotherapy is a cornerstone of breast cancer management, proven to significantly lower both recurrence and mortality. However, a growing shortage of radiation staff worldwide threatens the prompt delivery of these treatments.This thesis proposes an automated solution to address the limited accessibility of radiotherapy planning in breast cancer management by developing an end-to-end automated treatment planning model and evaluating its performance and limitations across diverse patient populations.

An automated contouring model was trained using data from 104 whole-breast …

Development Of Lineal Energy Spectrum-Based Biological Effects Models For Protons, Joseph M. Decunha, Fada Guan, David Grosshans, Zhongxing Liao, Dragan Mirkovic, Oleg Vassiliev, Radhe Mohan

Dissertations and Theses (Open Access)

In this dissertation, methods are developed and described to allow for the rapid calculation of microdosimetric spectra (specifically, lineal energy) for protons. SuperTrack, a GPU-accelerated tool for calculation of microdosimetric spectra was developed and is capable of computing lineal energy spectra up to 5000x faster than using Geant4 directly. Proton lineal energy spectra generated by SuperTrack are indistinguishable from those generated by Geant4. With SuperTrack, large libraries of lineal energy spectra for monoenergetic protons spanning 0-300 MeV have been developed. The proton lineal energy spectra calculated by SuperTrack have been compared to experimental measurements made by a tissue equivalent proportional …

Novel Statistical Methods For Mediation Analysis With High-Dimensional Omics Mediators, Zhichao Xu

Dissertations and Theses (Open Access)

Mediation analysis is a widely used statistical method for examining how molecular traits, such as gene or protein expression, act as intermediaries linking an exposure to a health outcome. For example, it can help explain how smoking affects disease risk through molecular changes. The rapid progress in high-throughput omics profiling technologies and large-scale epidemiology consortia, such as the Trans-Omics for Precision Medicine (TOPMed) program from the National Heart, Lung and Blood Institute (NHLBI) and UK Biobank, now has resulted in an extensive accumulation of genomic data for biomedical research and analysis. At the same time, it poses significant methodological challenges, …

Identifying And Characterizing Transition Cells In Developmental Processes From Scrna-Seq Data, Yuanxin Wang

Dissertations and Theses (Open Access)

During the development of multicellular organisms, individual cells make distinct decisions about their cell types and states. Understanding the molecular mechanisms underlying cellular state transitions at different developmental stages provides deep insights into physiology, morphology and the etiology of diseases. Single-cell RNA-sequencing (scRNA-seq), which is widely used to study complex cell states and dynamic gene expression patterns, enables us to investigate molecular mechanisms of cellular state transitions. Currently, however, computational tools available for identifying cellular states and state transitions remain limited.

Although trajectory-based methods such as Monocle and Slingshot assume that state transitions generate continuous expression profiles, they cannot distinguish …

Incidence Of Metabolic Syndrome From Atypical Antipsychotic Therapy In Schizophrenia Patients, Indah K. Utami, Yasinta Rakanita, Dea A. Tompa, Niluh P. Dewi

Pharmacology and Clinical Pharmacy Research

Schizophrenia is a psychiatric disorder impacting behavior, emotions, and communication. Atypical antipsychotics are increasingly prescribed due to their significant reduction of both positive and negative symptoms and low risk of extrapyramidal side effects (EPS) in schizophrenia patients. However, long-term effects of atypicals may include weight gain, insulin resistance, and hyperglycemia. This study was conducted in Palu, Madani General Hospital, and Anutapura General Hospital. It used a prospective cross-sectional design with a sample of 40 outpatient participants who received monotherapy or combination therapy with clozapine, olanzapine, and risperidone for more than three months. Blood samples were collected to determine the presence …

Student Performance And Course Modality: The Relationship Between Outcomes, Modality, And Course Subject, Olivia Baxley

Electronic Theses and Dissertations

The purpose of this quantitative study was to identify if a significant relationship existed between teaching modality and student performance outcomes while also considering the factor of course subject being taught during the 2021-2023 academic years. Three courses were included in the research: Math 1630 Finite Mathematics, English 1010 Composition I, and Biology 1110 General Biology. Each of the three courses are introductory level courses in the math, English, and science subject. The study also included statistical analysis on gender as related to student performance outcomes.

The findings presented of this research showed a significant relationship between teaching modality and …

The Food Truck: A Multi-Product Newsvendor With Trans-Shipment Cost, Samuel Ajibola

Electronic Theses and Dissertations

The Newsvendor Problem is a key model in supply chain management that focuses on determining the optimal order quantity to minimize costs under uncertain demand. This thesis introduces the Food Truck Problem, an extension of the Newsvendor model that incorporates nonlinear transshipment costs for inventory transportation. In this context, a Food Truck must determine the optimal stock levels for multiple products while minimizing costs related to stock shortages, excess inventory, and transportation. Unlike traditional Newsvendor models, our approach explicitly considers a quadratic transshipment cost, which necessitates the use of Lagrangian duality and Karush-Kuhn-Tucker (KKT) conditions for analysis. Moreover, we apply …

Stock Pitch: Robinhood Markets (Hood), Morgan Cole

Undergraduate Honors Capstone Projects

This capstone project presents an in-depth analysis and valuation of Robinhood Markets Inc. (NASDAQ: HOOD). Robinhood Markets is a revolutionary fintech platform aiming to democratize finance and investing.

The company was founded in 2013 in Menlo Park, California by Vladimir Tenev and Baiju Bhatt. The co-founders created an intuitive mobile trading platform and were the first to offer commission-free trading. Robinhood has opened the door to investing to a new demographic through the easy-to-use mobile app, the ability to buy and sell fractional shares (this makes purchasing shares of companies with high share prices accessible to more individuals), in-app financial …

Investigation Into The Effectiveness Of G-C3n4 For The Degradation Of Indigo Dye In Aqueous Solution Via Electrocatalysis, Rolando R. Barron Jr

Theses and Dissertations

Indigo dye (IUPAC 2-(3-hydroxy-1H-indol-2-yl)indol-3-one) is one of the most used dyes in the textile industry worldwide with more than 40,000 tons produced each year. It can elicit adverse physiological responses in humans including vomiting, diarrhea, and other gastrointestinal conditions, and it is toxic in large amounts. There is also evidence to suggest that indigo is a teratogen and genotoxic in aquatic life. Environmentally, the enormous amount of indigo used in the textile industry has caused rivers and waterways to run blue as well as severely impacting aquatic and plant ecosystems. The chemicals used in its synthesis are also …

Fairness And Robustness In Decentralized Federated Learning, Kaichuang Zhang

Theses and Dissertations

Federated Learning (FL) has emerged as a privacy-preserving paradigm that allows multiple clients to collaboratively train a machine learning model without sharing raw data. However, traditional FL relies on a central server for model aggregation, which introduces a single point of failure and makes the system vulnerable to server-side attacks or breakdowns. To address these limitations, Decentralized Federated Learning (DFL) has been proposed, eliminating the need for a central server and enhancing system resilience. Despite these advantages, DFL faces critical challenges related to fairness and robustness, especially under non-i.i.d. data distributions and adversarial conditions. In this thesis, we propose a …

Climate Change And The Field Of Farm Labor In The Lower Rio Grande Valley, Texas, Cody Richard Mortell

Theses and Dissertations

Farm workers in the United States are often vulnerable to adverse impacts of climate change, particularly extreme heat. This study explores farm workers’ climate change perceptions (CCP) as a mediating force in climate adaptation. Using latent class analysis, in-person survey data (n=404) from Lower Rio Grande Valley, TX (2024) and NOAA data were analyzed. Results were interpreted using Bourdieu’s field analysis framework and his notions of capital and symbolic power. Findings include: a social hierarchy with three latent classes of workers based on economic, cultural, social, and symbolic capital, which statistically significantly affected CCP. Workers in higher structural positions were …

Art And Effort, Saul Gabriel Dominguez Ii

Theses and Dissertations

Since childhood I questioned living and my life itself. I wondered the extent of our own free will since people live to cry, to hate, to think they’ve been born simply to die. I use philosophers and some contemporary fiction to portray a lens of living where we must romanticize the present, rather than an uncertain future, and remove the idea that there is a reason for our living. This method of present thinking is a characteristic of a life-well lived. The manuscript will largely be told from my point of view, a young aspiring author with limited experience, through …

Spin Coater Design With Pid Algorithm Using Polynomial Regression Approach And Bias Tuning For Tio2 Deposition Process, Geo Surya Andika, Nofrijon Sofyan, Donanta Dhaneswara, Akhmad Herman Yuwono

Journal of Materials Exploration and Findings

The thin-film deposition technique using spin coating offers a cost-effective alternative to Chemical Vapor Deposition (CVD) and Physical Vapor Deposition (PVD). The spin-coating process requires precise control of the motor drive system to ensure that the rotational speed, measured in rotations per minute (RPM), aligns with the set point and remains stable. This study presents the design and development of a spin coater prototype to achieve uniform thin-film deposition. The control method employed utilizes a Proportional-Integral-Derivative (PID) algorithm, incorporating a polynomial approach with bias tuning. The PID control was chosen to achieve stable operation in a non-linear system. The performance …

Nonlinear Control System Design And Hardware Testing Of An Overactuated Multicopter, William A. Wearren

Graduate Theses and Dissertations (2019 - present)

For the concept of Urban Air Mobility to be implemented into everyday life, the safety of passengers, bystanders, and surrounding infrastructure needs to be held paramount [1]. In previous work done at the University of South Alabama Facility for Aerospace Systems and Technology (FAST) lab, a reconfigurable control law was derived and tested on a scratch built multicopter [2]. The goal of the control law was to stabilize an X8 model multicopter in the event of motor outages [2]. The control law was tested on a simulated model and flight tested on a small-scale X8 multicopter to verify the effectiveness …

Autonomous Control Of A Hybrid Unmanned Aerial Towed System On A Moving Platform, Zachary M. Miller

Graduate Theses and Dissertations (2019 - present)

With tethered rotor drones being more popular for aerial surveillance, moving platforms for tethered drones are being researched. However, these systems require constant power to the rotor drones for stabilization. With this difficulty in power consumption, a hybrid drone solution is presented. The hybrid drone is similar to an airplane, with quadcopter motors attached for stabilization and thrust when not moving.

The controller for the hybrid drone was tested and verified in simulation. The simulation of the system was built in Fortran and consists of a driver, a tether, and a hybrid drone. The driver was modeled after a generic …

Comparison And Evaluation Of Overlay And Leveling Binder In Traffic Circle Construction, Pratik Neupane

Graduate Theses and Dissertations (2019 - present)

Traffic circles play a vital role in managing traffic flow and ensuring safety, yet their unique traffic conditions make them prone to early cracking and deformation. This study evaluated the performance of overlay and leveling binder asphalt mixtures for a reconstructed traffic circle at the University of South Alabama, using plant-mixed laboratory-compacted (PMLC) specimens. Volumetric analyses were performed to determine maximum specific gravity (Gmm), bulk specific gravity (Gmb), and air voids content. Laboratory tests were conducted on both the overlay and leveling binder layers using indirect tensile cracking test (IDEAL-CT) and indirect tensile rutting test (IDEAL-RT) to assess cracking tolerance …

Integrated Capillaric Sensors And Design Of Sensor Systems For Human Movement Analysis Using Skin-Mountable Patches, Hudson Gasvoda

Engineering Ph.D. Theses

This thesis presents the development and integration of capillaric strain sensors (CSSs) for human movement recognition. CSSs operate by detecting volume changes in closed microfluidic networks in response to linear strain, offering tunable directionality and sensitivity. By adopting strategies from electrical digital circuits, CSSs were configured in OR and AND logic gate arrangements, enabling simplified movement recognition without extensive computational resources. Digital image correlation techniques were employed to map strain fields, facilitating accurate predictions of sensor responses. Skin-mounted CSS patches as small as 3 × 3 mm² demonstrated effective human movement detection, highlighting their potential in wearable technology applications.

Building …