Digital Commons Network^™

Intrinsic And Extrinsic Drivers Of Bioaerosol Decay: Investigating Pathogen Stability Of Bacteriophage Ms2, Sin Nombre Virus, And Sars-Cov-2 In Simulated Environments, Elizabeth A. Klug

Theses & Dissertations

The threat posed by a virus as a bioaerosol depends largely on its stability under various environmental conditions (relative humidity (RH), sunlight, ozone, etc.). This stability is typically studied through aerosol decay—how the virus' viability changes over time when exposed environmental conditions. The Goldberg rotating drum, a widely used tool for studying bioaerosols, has been the basis of such research (Goldberg et al., 1958). However, it has significant limitations, including an inability to measure initial pathogen infectivity loss and the use of small sample volumes. Additionally, it does not answer the question of what intrinsic factors (lipids, proteins, nucleic acids) …

Feasibility Analysis For The Implementation Of An Anaerobic Digestion System In The City Of Pittsburgh, Pa, Gianna L. Kolencik

Electronic Theses and Dissertations

The current study is investigating the feasibility of an anaerobic digestion system

in Pittsburgh, Pennsylvania, at the old State Correctional Institute (SCI-Pittsburgh)

located at 1922 Westhall St. This location is immediately upstream of the Allegheny

County Sanitary Authority (ALCOSAN) along the Ohio River. Municipal solid waste

from ALCOSAN may be used as the main form of feedstock. ALCOSAN produced

roughly 36,500 tons of dry sludge in the reporting year 2023-2024. Based on the volume

of dry sludge from ALCOSAN it is estimated that an anaerobic digestion system could

yield approximately 29,930,000 kWh of energy, which is enough to power over …

Creasing In Thick Hemispherical Shells As A Model For Foveal Formation, Indigo Skye Peppard

Undergraduate Honors Theses

This research experimentally investigates creasing behavior on the inner surface of hemispherical shells with the ultimate goal of modelling the formation of the foveal pit, a sharp surface deformation present in the retina of the eye of many animals. Creasing is a phenomenon observed in hyperelastic materials and is characterized by sharply localized surface deformations that appear at ~35% compressive strain. The foveal pits of anoles (small iguanian lizards) are funnel-shaped and resemble creases when cut along the central axis. Furthermore, during foveal pit formation the anole eye contracts around 35% along this same axis. Given these similarities we believe …

A Modified Sir Model Used To Investigate The Relationship Between Congenital And Adult Syphilis, Kaleesta R. Waysman

Honors Thesis

A complex SIR model integrating the relationship between adult and congenital syphilis was developed. The goal of the project was to determine the specific population(s) or control strategies that should be enforced, altered, or removed to decrease the number of children experiencing clinical sequelae due to congenital syphilis. Early clinical sequelae include hydrops fetalis, preterm birth, central nervous system infection, hepatosplenomegaly, hyperbilirubinemia, cholestasis, hemolytic anemia, snuffles, osteochondritis, and lesions or rashes in the palms and soles. Late clinical sequelae include interstitial keratitis, hearing loss, Hutchinson teeth, saber shins, Clutton joints, mulberry molars, and saddle nose. After implementing real-world data into …

Evolving Enemy Behavior In Video Games, Hermie H. Adams Iii

Honors Theses

The video game I developed for my senior project lacked complex and engaging enemy artificial intelligence. The standard implementations of AI systems such as finite state machines and behavior trees felt like side-steps rather than innovative solutions. Upon seeing the 'magic' of machine learning in perfecting games such as Snake, Super Mario, and Flappy Bird, I was inspired to seek my answer in the field of evolutionary computation. However, my challenge differed in that the problem space would be defined by dynamic player strategies, making it not well-defined or static. As such, my evaluations are based on enemies exhibiting emergent …

Prevalence Of Well Water Contaminants In Georgia From 2010-2022, Angelique B. Willis, Suhasini Ramisetty-Mikler, Christine E. Stauber, Uttam Kumar Saha

Journal of the Georgia Public Health Association

Background: Safe, reliable, and clean drinking water sources are a basic necessity. More than 1.7 million individuals rely on private wells for drinking water in Georgia and are confronted with water quality challenges stemming from chemical contamination as private wells are not under mandated regulations as public water supplies. In Georgia, previous studies suggested that the variation of soil and rock in a physiographic province (region) plays an essential role in the quality of private well water. There is a need to understand the distribution of these chemical contaminants above the federal Maximum Contaminant Level (MCL) and how different geologies …

Impact Of Unconventional Gas Extraction On Tributaries Of Tenmile Creek, Greene County, Pennsylvania: A 12-Year Perspective, Christian L. Beall

Electronic Theses and Dissertations

Much of southwestern Pennsylvania has been central to a rapid increase in development for unconventional natural gas extraction in the past two decades. The continued monitoring of streams over their lifetime as extraction sites is pivotal to understanding the effects of fracking on local waterways and their ability to provide for wildlife and human use. Here, using multiple indices of biotic integrity (IBI), I perform analyses of fish and macroinvertebrate communities as well as water chemistry on two streams, Bates Fork (with shale wells) and Fonner Run (without), as part of a follow-up to work performed there from 2010-2012. Fish …

Bridging Cattle Farming And Technology: The Development Of Moomanager, Matthew Hayes

Honors College Theses

Small-scale cattle producers face persistent challenges in adopting digital tools for herd management, often due to barriers such as limited digital literacy, software complexity, and poor alignment with practical workflows. Existing literature highlights the potential benefits of mobile applications in agricultural contexts, yet adoption rates remain low among smaller operations. This thesis investigates how a streamlined, mobile-first application can address these adoption barriers while supporting essential farm management tasks. The study details the design and development of MooManager, a mobile application built with React Native and Supabase and structured around core features such as cattle tracking, beef sales logging, and …

Synthesis Of Sensitive Oligodeoxynucleotides Containing Acylated Cytosine, Adenine, And Guanine Nucleobases, Komal Chillar, Rohith Awasthy, Marina Tanasova, Shiyue Fang

Michigan Tech Publications

Background/Objective: Oligodeoxynucleotides (ODNs) containing base-labile modifications such as N4-acetyldeoxycytidine (4acC), N6-acetyladenosine (6acA), N2- acetylguanosine (2acG), and N4-methyoxycarbonyldeoxycytidine (4mcC) are highly challenging to synthesize because standard ODN synthesis methods require deprotection and cleavage under strongly basic and nucleophilic conditions, and there is a lack of ideal alternative methods to solve the problem. The objective of this work is to explore the capability of the recently developed 1,3-dithian-2-yl-methoxycarbonyl (Dmoc) method for the incorporation of multiple 4acC modifications into a single ODN molecule and the feasibility of using the method for the incorporation of the 6acA, 2acG and 4mcC modifications into ODNs. Methods: …

Architecture Of Pseudomonas Aeruginosa Glutamyl-Trna Synthetase Defines A Subfamily Of Dimeric Class Ib Aminoacyl-Trna Synthetases, Michael K. Fenwick, Stephen J. Mayclin, Steve Seibold, Amy E. Derocher, Sandhya Subramanian, Isabelle Q. Phan, David M. Dranow, Donald D. Lorimer, Ariel B. Abramov, James M. Bullard

School of Integrative Biological & Chemical Sciences (Formerly Dept. of Chemistry)

The aminoacyl-tRNA synthetases (AaRSs) are an ancient family of structurally diverse enzymes that are divided into two major classes. The functionalities of most AaRSs are inextricably linked to their oligomeric states. While GluRSs were previously classified as monomers, the current investigation reveals that the form expressed in Pseudomonas aeruginosa is a rotationally pseudosymmetrical homodimer featuring intersubunit tRNA binding sites. Both subunits display a highly bent, “pipe strap” conformation, with the anticodon binding domain directed toward the active site. The tRNA binding sites are similar in shape to those of the monomeric GluRSs, but are formed through an approximately 180-degree rotation …

Detection, Analysis, And Modeling Of Time-Scale Separated Modulatory Brain Dynamics: Methods And Applications In Neurocritical Care, Maren Elizabeth Loe

McKelvey School of Engineering Graduate Student Theses & Dissertations

Clinical monitoring of patients with neurological disease generates large volumes of data, including electrophysiology (e.g. EEG), heart rate, blood pressure, and other physiological measures. The use of these data to generate actionable prognostic measures is a long-held goal in clinical neurophysiology. In this regard, the use of engineering theory, including signal processing methods and computational modeling paradigms, is providing new ways of interpreting neurological data and yielding new insights into brain mechanisms and disease pathophysiology. This research focuses on the analysis and modeling of aberrant brain dynamical phenomena that occur over hours-long temporal epochs. Particularly, we consider time-scale separated electrophysiological …

System Security Foundations For Ai-Enabled Systems, Yuhao Wu

McKelvey School of Engineering Graduate Student Theses & Dissertations

AI is being deployed broadly, from conventional computing systems like IoT systems to more advanced agentic systems. It is shifting from being a specialized component responsible for specific functions to becoming the core of agentic systems, where it drives autonomous decision-making and task execution. These AI-enabled systems bring tremendous benefits. For example, large language models can interpret user intent, select appropriate tools, and access data to complete tasks with minimal human guidance. However, they also introduce new security, privacy, and safety risks. These risks arise not only from the models themselves but also from the broader system design and integration. …

Butte Priority Soils Operable Unit (Bpsou) 2025 Monthly Progress Report. Consent Decree For The Butte Priority Soils Operable Unit. Civil Action No. Cv 89-039-Bu-Seh, Josh Bryson

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Bayesian Statistics: Origins And Applications, Evelyn Pulla

Publications and Research

Bayesian Statistics applies Bayes' Theorem to update beliefs through new evidence. In this project, I explored how Bayesian Statistics applies into real supporting decision-making under uncertainty. By solving problems using data, I was able to realize how prior knowledge and evidence collaborate to make better conclusions. The project also demonstrates how Bayesian reasoning corrects our intuition to make decisions based on logical reasoning. Through this project, I was able to learn why using probability to make informed decisions matters both in science and real life.

Challenges Us Study Abroad Students Face When Acculturating To A Foreign Food Environment, Sydney C. Davis

Honors Theses

Studying abroad presents a unique opportunity for college students to immerse themselves in new cultures, including experiencing different food environments and dietary customs. However, adapting to a foreign food culture can pose various challenges that impact students’ overall health, eating behaviors, and study abroad experiences. The purpose of this study to develop a survey instrument designed to investigate the extent to which U.S. study abroad students embrace, accept, and face challenges with different aspects of Italian food culture, using the Social Ecological Model (SEM) as a guiding framework. Initial survey items were developed with information obtained from focus group discussions …

Monitoring Mangrove Dynamics And Evaluating Future Afforestation Potential In The Egyptian Red Sea, Rasha M. Abou Samra, Mansour Almazroui, Wenzhao Li, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Mangrove forests are vital for ecosystem services and coastal management but face stressors from anthropogenic activities and climate change. This study estimates the extent and afforestation potential of mangroves along the Egyptian Red Sea coast from 1984 to 2022 using NDVI derived from Landsat-5 and Sentinel-2 data in Google Earth Engine. Aboveground biomass (AGB), belowground biomass (BGB), carbon (C) stock, and CO₂ sequestration potential were evaluated using Sentinel-2 and elevation data. Future afforestation suitability (2020–2050) under SSP2-4.5 and SSP5-8.5 scenarios was assessed with the MaxEnt model. Mangrove area increased from 0.95 km² in 1984 to 1.46 km^{2 …}

Identification Of Subtypes Of Post-Stroke And Neurotypical Gait Behaviors Using Neural Network Analysis Of Gait Cycle Kinematics, Andrian Kuch, Nicolas Schweighofer, James M. Finley, Alison Mckenzie, Yuxin Wen, Natalia Sánchez

Physical Therapy Faculty Articles and Research

Gait impairment post-stroke is highly heterogeneous. Prior studies classified heterogeneous gait patterns into subgroups using peak kinematics, kinetics, or spatiotemporal variables. A limitation of this approach is the need to select discrete features in the gait cycle. Using continuous gait cycle data, we accounted for differences in magnitude and timing of kinematics. Here, we propose a machine-learning pipeline combining supervised and unsupervised learning. We first trained a Convolutional Neural Network and a Temporal Convolutional Network to extract features that distinguish impaired from neurotypical gait. Then, we used unsupervised time-series k-means and Gaussian Mixture Models to identify gait clusters. We tested …

Evaluating Predictive Models For Predicting Total Score Of Beef Carcasses, Emmanuel Forson

Electronic Theses and Dissertations

The beef industry plays a vital role in global agriculture, with carcass quality and consumer preference being key determinants of market success. This thesis examines predictive modeling techniques for estimating the Total Score of beef carcasses, a composite measure representing yield and quality, primarily used by the Nebraska Cattlemen Association. Using data from the Nebraska Cattlemen’s Foundation Retail Value Steer Challenge (2000–2023), the study compares the performance of First Order Multiple Linear Regression (MLR) with three machine learning techniques: K-Nearest Neighbors (KNN), Random Forest, and Gradient Boosting Machine (GBM).

The analysis focuses on six key predictors: Hot Carcass Weight, Back …

Microplastic Concentrations Within The Winyah Bay River Plume, Daniel C. Haughie

Honors Theses

In the last 20 years, microplastics have become a significant concern for ecosystem and public health. The buoyancy and method of introduction makes river plumes a likely repository for microplastic accumulation. A river plume is a bulge of fresher water that expands radially from the mouth of an estuary, with distinct lines called fronts at the leading edge of the plume. A front is a region of convergence between the fresher plume water and the saltier ocean water. The density differences between the two water masses may create an easily identifiable color and salinity gradient. These fronts often allow for …

Re: Comment Letter For The 2022 Butte Priority Soils Operable Unit (Bpsou) Groundwater Compliance Evaluation (Dated March 10, 2025), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Comment Letter For The 2023 Butte Priority Soils Operable Unit (Bpsou) Groundwater Compliance Evaluation (Dated March 10, 2025), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Acknowledgement Letter For The Final Blacktail Creek Groundwater Hydraulic Control System Pre-Design Investigation Evaluation Report (Dated February 27, 2025), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Nifuroxazide And 4-Hydroxybenzhydrazone Derivatives As New Antiparasitic (Trypanosoma Cruzi And Leishmania Mexicana) And Anti-Mycobacterium Tuberculosis Agents, Timoteo Delgado-Maldonado, Diana V. Navarrete-Carriola, Lenci K. Vazquez-Jimenez, Alma D. Paz-Gonzalez, Baojie Wan, Scott Franzblau, Othman Mueen Mohammed, Lorena Rodríguez-Páez, Charmina Aguirre-Alvarado, Debasish Bandyopadhyay

School of Integrative Biological & Chemical Sciences Faculty Publications

Background/Objectives: Nifuroxazide (Nfz) is a drug that has been used as a scaffold for designing antimicrobial and antiparasitic agents. This study aimed to synthesize and evaluate in vitro of Nfz and twenty-five 4-hydroxybenzhydrazone derivatives as potential anti-Trypanosoma cruzi, anti-Leishmania mexicana, and anti-Mycobacterium tuberculosis agents.

Methods: The compounds were synthesized by condensing 4-hydroxybenzhydrazide with appropriate aldehydes in acidic conditions and structurally confirmed by spectroscopic techniques. All compounds were evaluated in vitro against T. cruzi strains (NINOA and A1), L. mexicana (M379 and FCQEPS strains), and M. tuberculosis (H37Rv strain), followed by enzymatic assays against T. cruzi …

Using A Pharmacokinetic Model To Design And Evaluate An Early Ctdna Biomarker For Response To Targeted Therapy, Aaron Li

Spora: A Journal of Biomathematics

Early prediction of response to therapy or lack thereof can help physicians plan treatment more efficiently. Biomarkers based on circulating tumor DNA (ctDNA) are promising. However, biomarkers beyond direct comparison to baseline have not been thoroughly explored. We develop a model for ctDNA shedding under targeted therapy that incorporates pharmacokinetics. Using a simulated cohort of virtual patients with varied parameters, we define and analyze a biomarker based on ctDNA samples at baseline, 12 hours, and 24 hours after initiation of treatment. The biomarker identified patients who would achieve partial or complete response with high sensitivity and specificity and was able …

Amplifying Climate Action: San Diego’S Climate Action Plan (Cap) Dashboard, San Diego Regional Climate Collaborative, Courtney Chinn, Marius Van Dongen

San Diego Regional Climate Collaborative

The City of San Diego boasts a strong tourism and recreation industry, partly attributed to the City’s temperate climate. In recent years, extreme weather events tied to climate change have led to an even stronger focus on mitigation and resilience. In 2015, the City adopted a Climate Action Plan (CAP), which was most recently updated in 2022. The CAP established the goal for the community to reach net zero emissions by 2035. In the fall of 2024, to boost the efforts of the CAP, the City of San Diego published their online Climate Action Plan platform, the CAP Dashboard. The …

Understanding California’S 2025 Energy Code, San Diego Regional Climate Collaborative, Caroline Stillitano

San Diego Regional Climate Collaborative

California’s 2025 Energy Code is set to take effect in January 2026. Triannual updates to the Energy Code advance the state’s clean energy and climate resilience goals. For 2025, key updates include expanded heat pump requirements, electric-ready requirements, enhanced ventilation standards, and updated solar and battery storage regulations. These updates aim to reduce greenhouse gas emissions, lower energy costs, and improve public health in California. This case study outlines the main components of the 2025 updates to the California Energy Code (Title 24, Part 6), highlights expected impacts, and identifies financial incentives and programs available to support compliance and facilitate …

Optimizing Information Security In Cloud Environments: A Risk Management Approach And Guide For Enterprise Cloud Security, Joshua Olusegun Oyeniyi, Oluwashina Akinloye Oyeniran

Journal of Cybersecurity Education, Research and Practice

In recent years, cloud computing has become increasingly integral to organizational operations due to its scalability, accessibility and cost effectiveness in managing data and resources. However, the rise in security threats and attacks on cloud environments necessitates having robust measures in place to protect data confidentiality, integrity and availability. This paper presents an optimized approach to cloud information security management by reviewing the current threat landscape, evaluating key risk management frameworks, and provided practical solutions for enhancing enterprise cloud security. The study examined three leading cloud security frameworks: the Cloud Controls Matrix (CCM) known for its cloud-specific controls, the NIST …

Two-Sample Bi-Directional Causality Between Two Traits With Some Invalid Ivs In Both Directions Using Gwas Summary Statistics, Siyi Chen

School of Public Health Faculty Publications

Mendelian randomization (MR) is a widely used method for assessing causal relationships between risk factors and outcomes using genetic variants as instrumental variables (IVs). While traditional MR assumes uni-directional causality, bi-directional MR aims to identify the true causal direction. In uni-directional MR, invalid IVs due to pleiotropy can violate assumptions and introduce biases. In bi-directional MR, traditional MR can be performed separately for each direction, but the presence of invalid IVs poses even greater challenges. We introduce a new bi-directional MR method incorporating stepwise selection (Bidir-SW) designed to address these challenges. Our approach leverages public genome-wide association study (GWAS) datasets …

Re: Comment Letter For The Butte Priority Soils Operable Unit (Bpsou) Draft Final Residential Metals Abatement Program (Rmap) Quality Assurance Project Plan (Qapp) (Non-Residential Parcels And Residential Daycares) (Dated February 26, 2025), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Weak Formulation For Solving Inverse Problems In Reproducing Kernel Hilbert Spaces (With Applications To Learning Dynamical Systems), Victor William Rielly

Dissertations and Theses

We combine numerical and machine learning techniques to present a general framework for solving inverse problems using vector valued reproducing kernel Hilbert spaces in a variational formulation. We present this framework in two papers. In the first paper, we present an original state-of-the-art method derived in the context of our general framework for learning dynamical systems. In the second paper, we generalize the method from our first paper to arrive at the framework for solving inverse problems. Then we apply our general framework to the task of learning dynamical systems. In both papers we consider numerous applications of our methods …