Physical Sciences and Mathematics Commons^™

Geomorphic Evolution Of St. Augustine Inlet, St. Johns County, Florida, Kristen Becker

Theses and Dissertations

Tidal inlets interrupt longshore sediment transport, influencing adjacent beach morphology and allowing the exchange of water and sediment between the open oceans and protected back barrier bay. Inlets evolve through a combination of natural processes and are highly dynamic zones where sediment exchanges cause shifting shoreline positions nearby and create new morphological features. Barrier islands/beaches that are close in proximity to inlets evolve and are an important natural feature that dissipates wave energy and protects inland areas. Both natural and anthropogenic processes that affect barrier islands will be investigated during this study, including storm activity, waves, wind, water level, and …

Are There Neurological Impacts Of Exposure To A Burned Wildfire Site As It Recovers?, Rubye Strickland

Undergraduate Honors Theses

Wildfires are increasing with climate change, making the human health implications of exposure to burned soils an essential area of research. Metals associated with fire-impacted soils can be inhaled or accidentally ingested by surrounding communities, causing health risks. Several studies have evaluated the health impact of wildfires, but few have done so from a neurological perspective. This study explores metal changes in burned soils over time as a site naturally recovers from wildfire and how these changes may impact human neurological health. Soil samples were collected from the burned area 0, 3, 6, 9, and 12 months after the fire. …

Climate- And Land-Use Change Impacts On Ecosystem Services Provided By Prairie Pothole Wetlands, Alina Mullins

Master's Projects and Capstones

Prairie pothole wetlands are a type of depressional, isolated wetland that can be found in the glaciated landscape of the mid-central United States and portions of southern Canada, also referred to as the Prairie Pothole Region (PPR). The region is consistently recognized for its historic production and support of migratory waterfowl populations among other types of mammals and invertebrates largely due to the variability in pothole wetlands water levels and vegetative structure. Isolated from other waterbodies and lacking surface water connections, the hydrology of prairie pothole wetlands is influenced by the region’s continental climate. Historically, the region receives much of …

And Climate Justice For All

DePaul Magazine

DePaul is taking its environmental sustainability and equity prowess to the next level through its Just DePaul and President's Sustainability Committee initiatives that incorporate a climate action plan and student voices. Plus, community partnership courses that involve students in environmental action and justice efforts.

Big Tech To Utilize Nuclear Reactors For Powering Data Center Expansion And Fighting Climate Change, Raymond Depaul

Capstones

Amazon is advancing its goal for carbon-free energy by investing in Small Modular Reactors (SMRs) through partnerships with X-energy, Energy Northwest, and Dominion Energy. These compact nuclear reactors will provide clean energy to power Amazon’s data centers and other operations, with expected benefits for energy resilience and community jobs. The SMR projects will add substantial power capacity to regions like the Pacific Northwest and Virginia, supporting Amazon’s target of net-zero carbon operations by 2040. The current project looks into the adverse effects these agreement may have on the environment, and how big tech companies' historical environmental interactions may come into …

La Creatividad En Peligro: Como La Inteligencia Artificial Es Un Reto Para Los Artistas., Nathaly Cisneros

Capstones

Los artistas digitales han creado obras maestras que nos han dejado sin aliento con sus pinceles digitales, lápices y pinturas. Desde retratos que parecen saltar de la pantalla hasta paisajes que nos transportan a mundos desconocidos, su arte ha sido una fuente constante de inspiración.

Pero en los últimos años, una nueva fuerza ha comenzado a cambiar el juego. La inteligencia artificial ha estado avanzando a pasos agigantados y ahora se perfila como una amenaza para el futuro de los artistas digitales. ¿Qué significa esto para el arte y la creatividad?

Link: https://docs.google.com/document/d/1xe8UxDMekX_SwiIppyt_JppK8M-lB-YWNWGyeyShlJM/edit?usp=sharing

Advanced Models For Linking Process In Data Washing Machine, Bushra Sajid

Theses and Dissertations

Entity Resolution (ER) is a critical process in data integration and quality improvement that identifies and links multiple records referring to the same real-world entity. As data volumes and heterogeneity increase, traditional ER methods face new challenges, prompting research into more advanced techniques. The Proof-of-Concept Data Washing Machine (DWM), developed under the NSF DART Data Life Cycle and Curation research theme, aims to automatically detect and correct data quality errors through unsupervised entity resolution. Recent research focuses on enhancing DWM's effectiveness by replacing rule-based methods with machine learning and deep learning approaches, particularly in the linking process. Deep learning models, …

Design And Synthesis Of Bimetallic Catalyst And Multifunctional Peptide Catalysis For Organic Synthesis And Synthesis Of Proteolysis Targeting Chimeras (Protacs) For Sphk1 And Sphk2, Mariur Rodriguez Moreno

Theses and Dissertations

In the first part of this dissertation (chapters 1-4) we discuss the development of bimetallic and monometallic palladium complexes scaffolded on 2-phosphinoimidazole ligands and their application to cross-coupling reactions. Specifically, we discovered a bimetallic Pd(II) dimer that performs a tandem arylation/annulation reaction to produce naphthalene products from aryl iodides and ketones (Chapter 2). We then show that bimetallic Pd(II) and Pd (I) complexes have different activity in different transformations and that the starting oxidation state of our catalysts is important for reactivity (Chapter 3). For example, we demonstrate that our Pd(I) dimer is much more active in Buchwald- Hartwig amination …

Using Supervised Learning To Predict The Band Rank Of Braids, Juliana Moraes

Undergraduate Honors Theses

Supervised learning has emerged as a powerful tool for solving complex classification problems across various domains, including mathematical structures. In the realm of braid theory, an intriguing challenge involves determining the number of bands in a mathematical braid, which is crucial for understanding braid complexity and its applications. This thesis introduces an approach leveraging supervised learning to tackle this problem. Using different representations of a braid (namely braid words and Lawrence-Krammer representations), we train a supervised learning model to predict the number of bands in a given braid. The approach involves constructing a labeled dataset of braids with known band …

A Supervised Machine Learning Statistical Design Of Experiment Approach To Modeling The Barriers To Effective Snakebite Treatment In Ghana, Eric Nyarko, Edmund F. Agyemang, Ebenezer Kwesi Ameho, Louis Agyekum, José María Gutiérrez, Eduardo Alberto Fernandez

School of Mathematical & Statistical Sciences Faculty Publications

Background

Snakebite envenoming is a serious condition that affects 2.5 million people and causes 81,000–138,000 deaths every year, particularly in tropical and subtropical regions. The World Health Organization has set a goal to halve the deaths and disabilities related to snakebite envenoming by 2030. However, significant challenges in achieving this goal include a lack of robust research evidence related to snakebite incidence and treatment, particularly in sub-Saharan Africa. This study aimed to combine established methodologies with the latest tools in Artificial Intelligence to assess the barriers to effective snakebite treatment in Ghana.

Method

We used a MaxDiff statistical experiment design …

Butte Priority Soils Operable Unit (Bpsou) Final Bpsou Insufficiently Reclaimed Sites Belle Of Butte (Bres No. 8 & Ur-39) Remedial Action Work Plan (Rawp) Request For Change Ir- 2024-Ra-01, Revision 1, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

The Implementation Of Artificial Intelligence In University Classrooms: Perspective And Applications, Erika Grodzki, Gary Carlin, Stefanie Powers, Hung Chum Kao

Faculty and Staff Publications & Presentations

This study examined the integration of Artificial Intelligence (AI) in university classrooms, focusing on its benefits, challenges, and the diverse perspectives of academic faculty. While AI was widely embraced in disciplines like animation and design for enhancing creativity and efficiency, traditional fields remained cautious due to concerns about academic integrity and its impact on critical thinking. By analyzing literature and case studies, the presentation highlighted AI’s transformative potential in higher education, fostering dialogue on its strategic adoption to balance innovation with ethical and pedagogical considerations.

Intramolecular Styryl Diels-Alder (Isda) Reaction For Synthesizing Derivatives Of Anticancer Lignans, Kriti Shrestha

Theses and Dissertations

Intramolecular Styryl Diels-Alder (ISDA) cycloaddition reactions are used widely in synthesizing complex natural products. They help synthesize polycyclic cores and form new chiral centers in the molecule. Among such natural products, lignans are considered important biomedical molecules due to their numerous pharmacological properties, such as antitumor, hepatoprotective, insecticidal, antifungal, antihypertensive, sedative, antioxidant, and antiparasitic. Numerous researchers have published their work in trying to synthesize different lignans for medicinal purposes. However, the lignans are challenging to synthesize because of their complex tetralin cores. This project focuses on synthesizing the polycyclic core for the analogs of anti-cancer compounds with ISDA reaction. The …

Unmanned Aerial Systems (Uas) Image Preprocessing To Reduce Artifacts And Improve Geometric Registration When Generating Orthophoto Mosaics And 3d Models, Eddie Ironsmith

Electronic Theses and Dissertations

Drones can now be used to quickly collect imagery data in a highly automated way; however, individual images must be combined to form an orthomosaic or 3-Dimentional (3D) model using photogrammetry software. Currently, the existing software may generate erroneous output in the form of artifacts or positional errors caused by homogeneous areas, light reflections, object movement between photos, or sub-optimal algorithms. The goal of this research was to develop preprocessing algorithms that would filter movement (or other time or position-based differences) and areas of homogeneity. The hypothesis is that filtering these parts of the image would reduce artifacts and improve …

Identifying Fecal Contamination Sources In The Grand Bay National Estuarine Research Reserve, Amanda M. Free

Theses and Dissertations

The Grand Bay National Estuarine Research Reserve (GNDNERR) has a history of elevated fecal coliform counts. However, the source of the contamination is not well understood. According to past sanitary surveys, there has been a history of malfunctioning residential septic systems and inadequate wastewater treatment in the upper watershed. Feral hogs (Sus scrofa) and birds are also abundant in the estuary and could be potential contributors to elevated fecal coliform levels. To better understand the temporal and spatial variation of fecal coliforms in the GNDNERR and inform oyster reef management, eight sites within the GNDNERR watershed were sampled monthly for …

A Comprehensive Performance Evaluation Of Proprietary And Open-Source Language Models In Closed And Open-Domain Tasks, Abhilash Kanduri

Theses and Dissertations

As the field of Natural Language Processing (NLP) continues to evolve, evaluating the performance of both proprietary and open-source language models has become increasingly critical. This research provides a comprehensive analysis of proprietary models like GPT-3.5 Turbo, GPT-4, and GPT-4 Turbo, alongside open-source models such as FLAN-T5, GPT-Neo, and GPT-2. By leveraging traditional metrics like ROUGE and BLEU, as well as custom metrics including ReGrAde, Contextual Precision, and Faithfulness, the study evaluates these models across closed-domain tasks (e.g., factual question-answering) and open-domain tasks (e.g., creative writing and brainstorming). The proprietary models excelled in structured, fact-based tasks, while the open-source models …

Synergistic Adsorption Of Pb (Ii) From Aqueous Solution Using Calcined Biochar-Bentonite Clay Hybrid, Azeezat Faderera Abdul-Raheem

Theses and Dissertations

The biochar-bentonite clay hybrid was prepared by coprecipitation with the goal of producing a material that can remove Pb (II) from aqueous solutions effectively. Incorporating bentonite clay onto the Douglas fir biochar (DFB-BTC) surface significantly improved the adsorption capacity by introducing more active sites, strengthening the structural properties, and promoting strong adsorbate interactions. The point of zero charge of the adsorbent was slightly higher than that of the pristine DFBC. All sorption experiments were performed at pH 5, and the system obeyed the Langmuir adsorption isotherm. The highest Langmuir adsorption capacities observed at 298, 308, and 318 K were 48, …

Algal Community Investigations: Present Day To Year-2100 For Mississippi Lakes And The Western Mississippi Sound, Emma Madison Tucker

Theses and Dissertations

Algae play a key role in the aquatic environment as primary producers; however, they can form harmful algal blooms that are detrimental to the aquatic environment, people, and even the economy. It is generally believed that climate change will influence future algal blooms. The first study estimated algae community in three freshwater locations in Mississippi, Desoto Lake, White’s Creek Lake, and Columbus Lake, and one saline location, Western Mississippi Sound, using modern and new tools of the autonomous surface vessel, FlowCam, and EcoTaxa. From those results and leading into the second study was the application of four climate scenarios on …

Fisheries Management In Mississippi State-Operated Fishing Lakes: A Review And Look To The Future, Hayden Gregory Funk

Theses and Dissertations

The Mississippi Department of Wildlife, Fisheries and Parks currently manages 18 State Lakes and 17 State Park Lakes to provide public fishing opportunities. My goal was to conduct a comprehensive analysis of monitoring and management activities in State Lakes to enhance understanding of lake dynamics, further develop existing management initiatives, and identify alternative avenues for effective management. To achieve this objective, I have undertaken a comprehensive examination and synthesis of the historical background pertaining to State Lakes and conducted an analysis of pertinent data regarding lake characteristics such as the physical and chemical attributes of the lakes, the features of …

Impact Of Cascading Optical Processes On Spectroscopic Quantification Of Absorption And Scattering Properties Of Samples, Pathum Dilshan De Silva Wathudura

Theses and Dissertations

Light absorption and scattering are fundamental properties of matter, particularly significant in nanoscale materials. This study explores how cascading optical processes affect the experimental measurement of absorption and scattering intensities, along with scattering depolarization, in samples containing absorbers and scatterers. The experimental UV–vis spectrum results from the combination of absorption and scattering extinction spectra. However, the maximum measurable extinction may be limited by forward scattered light. Light absorption decreases the intensity of scattered light and influences scattering depolarization. While scattering can reduce absorption along the optical path to the detector, sufficient absorption of the scattered light may counterbalance this effect, …

Analysis Of Cortical Evoked Auditory Response Detection In Adults Using Machine Learning, Pranavi Beerelli

Theses and Dissertations

This study focuses on the use of machine learning (ML) techniques to automate the detection of Cortical Evoked Auditory Responses (CEARs), which are key in understanding how the auditory cortex processes sound stimuli. Traditionally, analyzing these auditory responses has relied on manual interpretation by audiologists, a process that can introduce variability and human error, particularly in complex cases. To address this challenge, the research utilizes advanced deep learning models, including Convolutional Neural Networks (CNNs), Long Short Term Memory (LSTM) networks, and Bidirectional LSTM (BiLSTM) architectures, to analyze Electroencephalography (EEG) data and classify the presence or absence of auditory responses automatically. …

Investigations Of Guayule Resin As A Wood Protectant, Queen Aguma

Theses and Dissertations

Wood products are subject to deterioration by numerous processes, as a biological material. Today, a significant area of preservative development is the utilization of existing plant residues that have water-repelling, antibacterial, antifungal, and insecticidal properties as components of wood protectants. Parthenium argentatum, known as guayule (wy-oo-lee), is a promising wood protectant due to its resin. However, the resin's complicated chemical, physical, and solvent-resistant properties make it difficult to use. The primary goal of this study was to eliminate the use of any solvent and rely on thermal modification only to fractionate usable compounds from guayule resin. Utilizing heated dialysis and …

An Open-Source, Student-Centric Approach To The Cyber Kill Chain, Justin Lane Wooten

Theses and Dissertations

The cybersecurity landscape demands professionals with practical skills and a deep understanding of attack methodologies. However, many institutions face significant challenges in providing comprehensive cybersecurity education due to the high costs associated with commercial tools and platforms. This thesis presents a student-centric, open-source curriculum for teaching the Cyber Kill Chain, designed to bridge the gap between theoretical knowledge and real-world application while addressing the financial constraints faced by many educational institutions. Our approach leverages freely available tools and hands-on exercises to cover each phase of the Cyber Kill Chain, emphasizing ethical considerations and collaborative learning. We detail the curriculum development …

Multi-Cloud Identity Security Utilizing Self-Sovereign Identity, Morgan Lee Reece

Theses and Dissertations

With the increasing use of multi-cloud environments, security professionals face challenges in configuration, management, and integration due to uneven security capabilities and features among providers. As a result, a fragmented approach toward security has been observed, leading to new attack vectors and potential vulnerabilities. Other research has focused on single-cloud platforms or specific applications of multi-cloud environments. Therefore, there is a need for a holistic security and vulnerability assessment and defense strategy that applies to multi-cloud platforms. This dissertation explores risk and vulnerability analysis to identify attack vectors from software, hardware, and the network, as well as interoperability security issues …

Deep Learning - Based Automated Detection And Classification Of Foreign Materials In Poultry Using Color And Hyperspectral Imaging, Rohini Maram

Theses and Dissertations

This thesis explores the use of Deep learning for detection and classification of small foreign materials (FMs) in poultry meat using color and hyperspectral imagery (HSI). The study employs You only look once (YOLO) object detection models on color images for precise localization, and one-dimensional convolutional neural network (1D CNN), two-dimensional convolutional neural network (2D CNN) was used on HSI (600 – 1700 nm) for classification. Twelve different FMs commonly known as polymers including PVC, PET, LDPE and HDPE, were examined using 52 color and 52 hyperspectral images. Four YOLO models (v5x, v7x, v8x, v10x) were implemented, trained, tested and …

Improved Vector Pruning For Partially Observable Markov Decision Processes, Thomas Jonathan Bowman

Theses and Dissertations

Exact dynamic programming algorithms for planning problems that are represented as partially observable Markov decision processes rely on a subroutine that removes, or ``prunes", dominated vectors from sets of vectors that represent piecewise-linear and convex value functions. The classic vector pruning subroutine solves one linear program per vector, where the number of variables is equal to the size of the state space and the number of constraints is equal to the number of vectors shown so far to be undominated. Thus, its scalability is limited not only by the number of linear programs it solves, but especially by their size. …

Engineering Functionalized Nanomaterials For Targeting And Ablating Biofilms On Surfaces, Dhanush Lakmal Yapa Amarasekara

Theses and Dissertations

Biofilms on both the surface and interior of medical devices pose major challenges, including hindering device performance and serving as infection sources. These biofilms form a protective layer around bacteria, shielding them from the body’s immune system and antibiotics. This makes infections difficult to treat, as the bacteria within the biofilm are resistant to both antibiotics and immune defenses. Additionally, biofilms can induce inflammation and irritation in nearby tissues, leading to further health complications. Antibiotic resistance raises concerns about the emergence of multi-drug resistant (MDR) pathogens. MDR infections are difficult to treat, leading to prolonged hospital stays and the need …

Discrimination The Roles Of Anthropogenic Greenhouse Gases And Aerosols On Tropical Cyclone Frequency From Downscaling Cmip6 Models, George Gyabaah

Theses and Dissertations

Tropical cyclones (TCs) are devastating disasters, yet predicting their future activity remains highly uncertain. To better understand the impacts of different anthropogenic forcings, specifically greenhouse gases (GHG) and aerosols on the TCs, I downscaled the single forcing experiments of 11 CMIP6 models in the Columbia HAZard Model (CHAZ). This analysis focused on changes in the distribution of the North Atlantic (ATL) and Western North Pacific (WNP) basins and explored the shift in environmental variables that drive them. We then used the formulation of the genesis component of CHAZ as a constraint to quantify the relative contribution of each predictor relative …

Exploring Single Particles Through Optical Trapping And Advanced Laser Spectroscopy Techniques, Haifa Hassan Alali

Theses and Dissertations

This dissertation explores the innovative integration of optical trapping (OT) with advanced laser spectroscopy techniques to investigate the physicochemical properties of single particles from a variety of atmospheric aerosols, such as bioaerosols, terrestrial dust, and extraterrestrial dust. Each technique offers unique insights, significantly enhancing our understanding of these critical atmospheric components. The first work focuses on employing OT in conjunction with cavity ringdown spectroscopy (OT-CRDS) to measure the single-particle extinction of interplanetary dust particles at ultraviolet wavelengths (~308 nm). This method allows for the stable trapping of individual dust particles in air, facilitating precise characterization with minimal external interference. Our …

Biothermodynamics Of Metal And Dna Coordination To The Pneumococcal Transcription Factors Adcr, Scza, And Copr, Alexander James Cutright

Theses and Dissertations

ransition metals are micronutrients that play critical roles in all forms of life, acting as stabilizing ions, catalytic centers, and as signaling ions. Due to their importance, classes of biomolecules have been designed with the sole purpose of regulating their intracellular concentrations. One group of which are transcription factors, which regulate intracellular metal concentration by activating or repressing transcription, dependent on metal availability. The activation of transcription factors by metal availability can be attested to conformational changes that are governed by both dynamics and thermodynamics. Due to the influential nature of transcription factors, their activity and activation mode have become …