Physical Sciences and Mathematics Commons^™

Gpu-Accelerated Community Detection: Performance Comparison Of Networkx And Cugraph, Venkata Satyanarayana Pulaparthi

Masters Projects

Community detection in complex networks is an essential process in the field of network science, offering insights into the underlying structure and functionality of interconnected systems. As the scale and complexity of networks grows, traditional CPU-based methods for community detection struggle to keep pace, leading to the exploration of GPU-accelerated solutions.

This project investigates the implementation of the Louvain algorithm for community detection using GPU-accelerated computing via the CuGraph library. By comparing it too traditional CPU based methods implemented with NetworkX, this study examines performance improvements, scalability, and applicability across real-world datasets. Two networks were used for experimentation: Zachary’s Karate …

3d Game: Enhancing Game Ai With Machine Learning, Nicholas William English

Masters Projects

Machine learning (ML) and artificial intelligence (AI) are terms that are often used synonymously, but they are ever-so slightly different. Machine learning is really a subset of artificial intelligence and involves creating an algorithm so that a computer can learn patterns. Artificial intelligence extends machine learning with the goal to go beyond pattern recognition by having a computer that is capable of mimicking human intelligence. Video games often use the term AI in reference to the bots or non-playable characters (NPCs) that players may interact with. Generally, these bots do not actually implement AI, nor do they use ML, but …

Theory And Algorithms To Learn, Propagate, And Exploit Uncertainty For Stochastic Optimal Control Of Dynamical Systems, Vignesh Sivaramakrishnan

Electrical and Computer Engineering ETDs

Non-Gaussian uncertainty frequently arises in learning and control problems involving stochastic dynamical systems, particularly in autonomous vehicles, UAVs, satellites, and robotics. In this dissertation, we propose a new framework that leverages characteristic functions that provides a frequency-domain representation of random variables. The dissertation is structured into three key areas. First, we address model-based stochastic optimal control for linear systems with non-Gaussian noise, demonstrating that characteristic functions can be used to enforce chance constraints and control systems toward desired distributions. Second, we explore data-driven stochastic control, utilizing empirical characteristic functions to handle systems with unknown disturbances. In addition, we derive several …

Operations On Submodules With The Multiplicative And Quotient Properties, Jiekai Pang

Mathematics & Statistics ETDs

Inspired by the works of Petro, Epstein, Vassilev, and Morre, this thesis aims to study the generalized definitions of the semiprime operation, weakly prime operation, and standard closure operation on rings, that is, the multiplicative operation, weakly multiplicative operation, and standardly multiplicative operation on submodules. Then, we will use Matlis duality to induce the dual notions of these definitions on submodules of Matlis-dualizable Artinian modules. In order to understand the dual notion of the standardly multiplicative operation, that is, the standardly quotient operation, we will classify the operations on the injective hull of residue field of the ring K[[x,y]]/(xy) which …

An Energy Resource Management For Cluster Based Iohv Supported By Fog Computing, Ahmed Jawad Kadhim

Karbala International Journal of Modern Science

Internet of Hybrid Vehicle Networks (IoHV) is a network generated by merging the Internet with a Hybrid Vehicular Ad-Hoc Network (H-VANET). In IoHV, various types of electric and fuel vehicles create tasks. However, executing several tasks by electric vehicles affects their lifetime because they suffer from energy limitation issues which is one of the IoHV challenges. On the other hand, fuel vehicles and fog nodes have unlimited energy and can be used to execute most tasks of electric vehicles quickly. In this paper, we produce a new Energy Resource management Technique for IoHV called ERTH that aims to offload the …

Effect Of Temperature And Rhenium Content In Precipitates On Dispersion Hardening Of Tungsten, Yulia R. Sharapova, Arseny M. Kazakov, Elena A. Korznikova, Alexandr Zinovev, Dmitry Terentyev, Sergey V. Dmitriev

Karbala International Journal of Modern Science

Tungsten (W) is being developed as a plasma-facing material for fusion reactors, where it is subjected to MeV neutron irradiation, low-energy helium isotope particles, and high temperatures. These conditions lead to the formation of point defects, dislocation loops, voids, and transmutation into rhenium (Re) and osmium (Os), which form precipitates that significantly impact dislocation motion and increase hardness. This study uses molecular dynamics modeling to examine the interaction between an edge dislocation and Re-rich particles of various stoichiometries, specifically coherent bcc-phase particles and noncoherent σ-phase precipitates. Results show that shear stress increases by approximately 20-40% with larger particle size (3-5 …

Gauss-Lobatto Method For Nuclear Reactivity Calculation, Daniel Suescún-Díaz, Luis E. Cardoso-Páez, Diego Peña-Lara

Karbala International Journal of Modern Science

In this paper, we introduce a novel approach to numerical solving for nuclear reactivity using the inverse equation of point kinetics as a model. Our method leverages the Gauss-Lobatto quadrature, incorporating multiple time steps and nodes derived from Legendre polynomials of varying orders. To enhance the accuracy of the differential component of the inverse equation, we employed a differential scheme based on the Gauss-Lobatto quadrature nodes. To address fluctuations in neutron population density, we implemented a second-order low-pass Butterworth filter with a minimal window length of M = 3 samples. Through extensive numerical simulations, we assessed the precision of our …

Calculation And Statistical Analysis Of Wins Above Replacement, Joshua Taylor

Departmental Honors & Graduate Capstone Projects

The Wins Above Replacement (WAR) statistic in Major League Baseball is a prominent metric used to estimate player value by quantifying all aspects of play in terms of wins added to a baseball team. We will use R to calculate WAR for all players from 1871 to 2012 and use data from those years to construct multivariate predictive models to attempt to estimate WAR for players from 2013 to 2024. We find strong correlations between predicted and actual WAR values for most models, with the exception of the polynomial predictive model for non-qualified pitchers.

Karst Hydrologic Memory Supplements Streamflow During Dry Periods In Snow-Dominated, Mountainous Watersheds, Hyrum Tennant, Bethany T. Neilson, Devon Hill, Dennis L. Newell, James P. Evans, Seohye Choi, James P. Mcnamara, Nathaniel Ashmead, Tianfang Xu

Geosciences Faculty Publications

Analysis of PRISM and SNOTEL station data paired with USGS streamflow gage data in the western United States shows that, in snow-dominated mountainous watersheds, streamflow regimes differ between watersheds with karst geology and their non-karst neighbours. These carbonate aquifers exhibit a spectrum of flow paths encompassing karst conduits, including large fractures or voids that transmit water readily to springs and other surface waters, and matrix flow paths through soils, highly fractured bedrock, or porous media bedrock grains. A well-connected karst aquifer will discharge a large portion of its accumulated precipitation to surface water via springs and other groundwater flow paths …

Evaluating The Usefulness Of Geochronometers In The Packsaddle Domain For Refining The Timing Of Metamorphism Via High-Resolution Petrography, Enchanted Rock State Natural Area, Llano Uplift, Texas, Haylee Vike

Electronic Theses and Dissertations

The Llano uplift, central Texas, exhumes Mesoproterozoic rocks with a complex history of metamorphism, deformation, and magmatism. There are three recognized metamorphic events related to the Grenville orogeny (~1.3-0.9 Ga). The timing of these metamorphic events is not well resolved due to past methods, technology, and lack of published geologic context for many of the current dates. These current time constraints on metamorphic timing could be further refined through modern geochronologic and petrochronologic methods.

A majority of U-Pb zircon dates from the Valley Spring (~1366-1232 Ma), Coal Creek (~1326-1275 Ma), and Packsaddle (~1257-1215 Ma) domains are interpreted as crystallization ages …

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, …

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.

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 …

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 …

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.

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 …

Key Epigenetic And Signaling Factors In The Formation And Maintenance Of The Blood-Brain Barrier, Spiros L Blackburn, Nitin Tandon, Hrishikesh Lokhande, Pierre D Mccrea, Emery H Bresnick, Pramod K Dash, Devin W Mcbride, Arif Harmanci, Lalit K Ahirwar, Dania Jose, Ari C Dienel, Hussein A Zeineddine, Sungha Hong, Peeyush Kumar T

Faculty, Staff and Student Publications

The blood-brain barrier (BBB) controls the movement of molecules into and out of the central nervous system (CNS). Since a functional BBB forms by mouse embryonic day E15.5, we reasoned that gene cohorts expressed in CNS endothelial cells (EC) at E13.5 contribute to BBB formation. In contrast, adult gene signatures reflect BBB maintenance mechanisms. Supporting this hypothesis, transcriptomic analysis revealed distinct cohorts of EC genes involved in BBB formation and maintenance. Here, we demonstrate that epigenetic regulator's histone deacetylase 2 (HDAC2) and polycomb repressive complex 2 (PRC2) control EC gene expression for BBB development and prevent Wnt/β-catenin (Wnt) target genes …

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 …

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 …

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 …

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 …

Analysis Of Positive Solutions For Classes Of Nonlinear Boundary Value Problems, Bandar Alreshidi

Theses and Dissertations

In this dissertation, we study the existence and uniqueness of positive solutions for classes of nonlinear boundary value problems. In the first study, we the ��-superlinear case, we prove the existence of a large positive solution when a parameter is small and if, in addition, the reaction term satisfies a concavity-like condition at the origin, the existence of two positive solutions for a certain range of the parameter. In the ��-sublinear case, we establish the existence of a large positive solution when a parameter is large. We also investigate the number of positive solutions for the general ��-Laplacian with nonlinear …