Physical Sciences and Mathematics Commons^™

From Bobcat To Bursts: Multi-Messenger Constraints On Supermassive Black Holes And Binaries, Jessica Sydnor

Graduate Theses, Dissertations, and Problem Reports (ETD)

Supermassive black hole binaries (SMBHBs) are a natural consequence of hierarchical galaxy formation and evolution. When galaxies merge, their central supermassive black holes (SMBHs) are expected to form bound pairs that evolve from kiloparsec to sub-parsec separations under the influence of dynamical friction, stellar scattering, and gas dynamics. Ultimately, these SMBHs reach the regime where gravitational wave emission dominates and drives the final inspiral and coalescence. Understanding the formation, evolution, and observational signatures of SMBHBs is critical to advancing multi-messenger astrophysics, particularly in the era of pulsar timing arrays (PTAs) and the upcoming Laser Interferometer Space Antenna (LISA), which opens …

Investigating The Biology, Hypovirulence, And Pathogenicity Of Three Canker-Causing Phytopathogenic Fungi In The Cryphonectriaceae And Cytosporaceae On American Chestnut (Castanea Dentata) And Oaks (Quercus Spp.) In The Eastern U.S., Danielle N. Mikolajewski

Graduate Theses, Dissertations, and Problem Reports (ETD)

American chestnut (Castanea dentata) and various oak species (Quercus spp.) are impacted by several economically important canker pathogens in the fungal order Diaporthales, namely Cryphonectria parasitica and Endothia gyrosa (Cryphonectriaceae). Cytospora canker caused by several closely related fungi in the fungal genera Cytospora and Valsa (Cytosporaceae) have also been implicated in causing canker diseases of Quercus and Castanea in Asia, Europe and North America. The impacts of C. parasitica on American chestnut have been exhaustively studied and it’s impacts on various oak hosts have also been broadly investigated and reported. Endothia gyrosa has …

Optical Measurements Of Magnetic Fields In Low-Temperature Plasmas Via Quantum Spectroscopy, Tyler James Gilbert

Graduate Theses, Dissertations, and Problem Reports (ETD)

Accurate characterization of the magnetic field strength and direction within a plasma is increasingly important as experiments attempt to probe the physics of plasmas at kinetic scales. Non-perturbative laser-based diagnostics which are spatially and temporally localized—such as laser-induced fluorescence (LIF) and Thomson scattering for the measurement of ion and electron distribution functions, respectively—are increasingly relied on for measurements in laboratory plasmas. This work seeks to develop a spatially and temporally localized non-perturbative laser-based diagnostic for the measurement of magnetic fields in laboratory-relevant plasmas. Two such techniques are investigated here: Zeeman-split LIF and quantum beat spectroscopy (QBS).

Zeeman-split LIF measures the …

Determination Of Spatial Origin Of Striations On Fired Projectiles, Kaitlin A. Dolan

Graduate Theses, Dissertations, and Problem Reports (ETD)

Firearms examination has been a mainstay of Forensic Science for over a century. One of the principal assessments performed by firearm examiners is the comparison of fired projectiles to a suspect firearm. The AFTE theory of identification, as it pertains to firearms and toolmarks, supports the basis that the barrel of a firearm will impart class and individualizing characteristics onto the fired projectile. The characteristics are developed by the interaction of the projectile surface with the lands of the barrel. Features on the lands, which are incidental to the process of manufacturing, dictate the characteristics observed on the fired projectile. …

Simulation Of Annpet For Neural Network Training And System Performance Benchmarking, Pete Martone

Graduate Theses, Dissertations, and Problem Reports (ETD)

Monte Carlo (MC) simulations are often used to provide insight into complex physical phenomenon. They can generate realistic results without the necessity to construct costly and complex apparatus. The ultimate value of these simulations depend on how accurately the physics can be modeled and if a sufficient volume can be produced to account for statistical variance. In medical imaging device development, MC simulations of Positron Emission Tomography (PET) scanners have typically been used to model the performance of new systems. The imaging group in the Department of Radiology have developed a unique detector design for a pre- clinical PET scanner …

Rational Design Of Small Molecules Targeting Mitochondrial Redox Proteins, Matheus Barbosa Belchior

Graduate Theses, Dissertations, and Problem Reports (ETD)

Reactive oxygen species play a crucial role in many cellular processes. Despite being a natural byproduct of cellular metabolism, overexpression of these species causes damage to the cell, leading to cell dysfunction. Central to the regulation of these highly reactive molecule is the mitochondria. Impairment in its function has been associated with oxidative stress within the cell. Herein, a ligand-based and structure-based approach to design new small molecules to inhibit mitochondrial redox proteins associated with oxidative stress and reactive oxygen species. In the first project two molecules were synthesized and characterized as potential monoamine oxidase B inhibitors. Results showed two …

Applications Of Deep Learning For Optimizing Fingerphoto And Latent Fingerprint Biometrics, Amol Sanjay Joshi

Graduate Theses, Dissertations, and Problem Reports (ETD)

Fingerprint-based biometric recognition remains one of the most dependable and widely adopted approaches for identity verification due to its permanence and distinctiveness. Recent advancements in mobile and contactless imaging have extended fingerprint acquisition beyond controlled environments into unconstrained, real-world conditions through fingerphotos, contactless fingerprint images captured by digital or smartphone cameras. While this paradigm shift enhances accessibility and user convenience, it introduces significant technical challenges. Variations in illumination, focus, and motion blur often degrade ridge patterns, making accurate feature extraction and matching more difficult. Similarly, in forensic applications, latent fingerprints, incomplete or smudged prints lifted from surfaces, pose unique challenges …

Weakly Reversible Deficiency Zero Realizations Of Polynomial Dynamical Systems, Neal Ryan Buxton

Graduate Theses, Dissertations, and Problem Reports (ETD)

Weakly reversible, deficiency zero (WR0) systems form a large class of polynomial ODEs modeling chemical reaction networks. Their behavior is exceptionally stable: they have unique positive steady states, which are locally asymptotically stable (they are also conjectured to be globally asymptotically stable). This powerful result (the Deficiency Zero Theorem) applies to a large class of high dimensional, nonlinear polynomial dynamics, and is independent of the choice of parameters in the model. In this dissertation we present two algorithms that expands the scope of the Deficiency Zero Theorem to:

1. Networks with WR0 realizations, i.e. networks that are not necessarily WR0 …

Novel Phenomena In Chiral And Disordered Crystals, Zachary Louis Romestan

Graduate Theses, Dissertations, and Problem Reports (ETD)

The concept of symmetry is central to our understanding of the physical world. Core symmetries—comprising time reversal, charge conjugation, spatial inversion, and rotation—are integral in maintaining essential conservation laws. They also play a critical role in the manifestation of new quantum phases that arise when these symmetries are disrupted. At the heart of contemporary research in condensed matter physics is the exploration of how basic symmetries interact with material imperfections. This examination delves deeply into the ways that inherent symmetrical properties and structural anomalies within materials influence each other, providing crucial insights into the field. This dissertation presents an investigation …

Navigating Together: The Conav Testbed And Framework For Benchmarking Cooperative Localization, Rohith Boyinine, Jayanth Ammapalli, Anusna Chakraborty, Rajnikant Sharma, Kevin Brink, Clark N. Taylor

Faculty Publications

This paper presents CoNaV, a comprehensive framework for creating a multi-vehicle cooperative localization (CL) testbed designed to support the benchmarking, development, and deployment of cooperative navigation algorithms. Given the essential role of CL in improving localization accuracy for both defense and civilian applications, CoNaV provides a robust environment for rigorously validating algorithms under real-world conditions. By establishing a benchmark for CL algorithms, CoNaV lays a foundation for advancing research into more sophisticated and distributed CL solutions. This framework highlights the potential of cooperative navigation to enhance multi-vehicle operations and offers a scalable, practical approach for future developments in CL technology.

Estimating The Gender Wage Gap: A Comparative Analysis Of Different Estimators, Xinran Zhang

Mathematics, Statistics, and Computer Science Honors Projects

The gender wage gap between males and females has been well studied by labor economists. We take a multi-prong approach to evaluate three estimators —a regression-imputation estimator, a weighting estimator, and a doubly robust estimator—in estimating the gender wage gap. Using the Panel Study of Income Dynamics, we conduct an empirical study of the estimators’ performances. In a simulation study, we evaluate the properties of estimators and study whether bootstrapping is an appropriate measure of the uncertainty of each estimator. The findings show that while the estimators provide different results, the doubly robust estimator provides reliable and consistent results under …

Optical Properties Of Rare Earth Doped Molybdenum Trioxide Thin Films, Jessica Fink

Graduate Theses/Dissertations

This study aims to investigate the optical properties of Dy-doped MoO₃ thin films. MoO₃ is a transition metal oxide that is wide band gap semiconductor. As a transition-metal oxide, it has been widely studied for its tunable properties. However, there is little literature on the subject of Dysprosium doped MoO₃, and none found as of now on thin film Dy-MoO₃ . This indicates that this topic is at best under reported, and thin film Dy-MoO₃ possesses a certain novelty. Unlike most transition metal oxides, undoped MoO₃ has a negligible crystal field splitting. This is due to the electron vacancy of …

Synthesis And Characterization Of Doped Rare-Earth Zinc Alloys, Partha Das

Graduate Theses/Dissertations

Rare-Earth-Zinc (RE-Zn) alloys doped with manganese represent a promising class of materials with diverse applications in magnetic, electronic, and thermoelectric devices. These alloys hold significant potential owing to the unique combination of rare-earth elements' properties with the versatility of zinc, augmented by manganese doping. In this study, I present the successful synthesis of ErMn_0.2Zn_11.8 alloys, achieved through self-flux method. The synthesized crystals were characterized using electron dispersive spectroscopy (EDS) and single crystal X-ray diffraction (XRD). Additionally, magnetic measurements were performed to investigate the magnetic properties. Future plans include DFT calculations and comparison study between Rare-Earth-Zinc alloys with …

Cyber Warfare And The Future Of Conflict, Victor A. Mercado

Graduate Theses/Dissertations

This thesis examines whether cyber warfare now poses a more immediate threat to U.S. national security than weapons of mass destruction (WMD). Cyber operations have become a dominant instrument of contemporary conflict, with malicious actors operating in a persistent “grey zone” that blurs traditional boundaries between war and peace. These operations target military and civilian entities, both directly and often as collateral damage due to the uncontrollable nature of cyber threats. WMDs, despite their catastrophic destructive potential, remain largely constrained by established deterrence frameworks.

The evolving nature of cyber warfare warrants comparison to WMD effects and impact, as cyber capabilities …

The Response Of Tropopause Phenomena To Stratospheric Variability: Rossby Wave Breaking And Tropopause Polar Vortices, Cameron R. Paquette

Electronic Theses & Dissertations (2024 - present)

Variability in the high-latitude wintertime stratospheric flow, often referred to as the stratospheric polar vortex, can precede anomalous conditions in tropospheric flow on subseasonal-to-seasonal (S2S) timescales and impact surface weather. The range of stratospheric impacts on tropospheric conditions range from shifts in the North Atlantic storm tracks, formation of cold spells, and development of extreme precipitation. Impacts of stratospheric variability are known to persist for up to 60 days, providing ample windows of opportunity in forecasting on S2S timescales. This dissertation focuses on the stratospheric impacts on tropopause-level processes, such as Rossby wave breaking (RWB) events and tropopause polar vortices …

Final Horseshoe Bend Effluent Line (Hbel) Discharge Structure Surface Enhancements Work Plan, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Machine Learning Predicting Acute Pain And Opioid Dose In Radiation Treated Oropharyngeal Cancer Patients, Vivian Salama, Laia Humbert-Vidan, Brandon Godinich, Kareem A Wahid, Dina M Elhabashy, Mohamed A Naser, Renjie He, Abdallah S R Mohamed, Ariana J Sahli, Katherine A Hutcheson, Gary Brandon Gunn, David I Rosenthal, Clifton D Fuller, Amy C Moreno

Faculty, Staff and Student Publications

Introduction: Acute pain is common among oral cavity/oropharyngeal cancer (OCC/OPC) patients undergoing radiation therapy (RT). This study aimed to predict acute pain severity and opioid doses during RT using machine learning (ML), facilitating risk-stratification models for clinical trials.

Methods: A retrospective study examined 900 OCC/OPC patients treated with RT during 2017-2023. Pain intensity was assessed using NRS (0-none, 10-worst) and total opioid doses were calculated using morphine equivalent daily dose (MEDD) conversion factors. Analgesics efficacy was assessed using combined pain intensity and total MEDD. ML predictive models were developed and validated, including Logistic Regression (LR), Support Vector Machine (SVM), Random …

The Taylor Resolution Over A Skew Polynomial Ring, Luigi Ferraro, Desiree Martin, W. Frank Moore

School of Mathematical & Statistical Sciences Faculty Publications

Let k be a field and let I be a monomial ideal in the polynomial ring Q = k[x1, . . . , xn]. In her thesis, Taylor introduced a complex which provides a finite free resolution for Q/I as a Q-module. Later, Gemeda constructed a differential graded structure on the Taylor resolution. More recently, Avramov showed that this differential graded algebra admits divided powers. We generalize each of these results to monomial ideals in a skew polynomial ring R. Under the hypothesis that the skew commuting parameters defining R are roots of unity, we prove as an application that …

Predicting Human Steering From Optic Flow Using Deep Convolutional Neural Networks, Katie E. Bernard

Honors Theses

Human driving is a complex visuomotor task and the specific visual clues that guide it remain under investigation. While prior research has emphasized gaze-based strategies such as the Tangent Point and Future Path hypotheses, recent evidence highlights the potential role of optic flow, the visual motion pattern perceived during self-movement, as critical to steering ability. This thesis explores whether raw optic flow alone can support accurate predictions of human steering behavior. We trained a convolutional neural network to map optic flow vector fields to steering angles in a virtual reality driving simulation. The dataset, collected by Giguere et al., included …

Microbial Degradation Of Kelp-Derived Dissolved Organic Matter In The Context Of Carbon Sequestration, Sophia N. Riazi-Sekowski

Honors Theses

Kelp, or brown algae, is an emerging form of ocean-based biological carbon dioxide removal, converting dissolved CO2 into organic molecules via photosynthesis. The export of detritus and dissolved organic carbon (DOC) from coastal beds to beyond the continental shelf contributes to carbon sequestration, especially through the microbial production of refractory DOC (RDOC). The influence of microbial degradation on kelp-derived DOC is not yet well understood, contributing to inconsistency in carbon sequestration estimates. This study utilizes dark bottle incubations of both blades and holdfasts from two farmed kelp species in the Gulf of Maine — Saccharina latissima and Saccharina angustissima — …

Optimizing Radial Interfaces For Eye-Movement Authentication On Smartphones, Trey V. Tuscai

Honors Theses

Radial authentication interfaces offer privacy-preserving, calibration-free eye-movement authentication. While their effectiveness has been demonstrated on large displays, their performance on smartphones remains underexplored. This study investigates seven radial interface configurations on the iPhone 13, varying the number of radial indicators and password lengths to examine trade-offs between accuracy, security, and entry time. Through a controlled eye-tracking experiment with 27 participants, we evaluate each configuration’s performance and collect user prioritizations of the three factors. Our findings reveal that shorter passwords with fewer indicators improve speed and accuracy but reduce security, while longer configurations enhance security at the cost of usability. Based …

Local Limit Theorems On Finitely Generated Abelian Groups, Yutong Yan

Honors Theses

In this thesis, we classify the pointwise behavior of finite-range random walks on finitely generated abelian groups in terms of local limit theorems. Random walks are central objects of research in probability theory, and the theory has found applications in statistics, physics, and even card shuffling. One significant topic in this line of study is random walks on finitely generated groups. Starting from the pioneering work of G. Pólya and H. Kesten, random walks on finitely generated groups have been studied extensively. However, many notable results on the subject (local limit theorems, for example) make assumptions about periodicity and irreducibility …

Co-Creation, Interpretations And Engagement With A Movement-Based Symbol For Climate Justice: A Qualitative Inquiry, Kai Reimer-Watts

Theses and Dissertations (Comprehensive)

The climate crisis demonstrates with complete clarity the need for massive systems-level changes towards far more sustainable societies. Global and local emissions need to decline rapidly to mitigate intensifying climate breakdown, accompanied by climate and sustainability solutions, to secure a far more stable, safe, and just future for all people and all life. Within these changes, engaging in our communities is essential to support and co-create broader solutions to help advance more sustainable societies, reduce negative impacts of a changing climate, and to move towards cultures and systems that recognize natural limits and centre care for people and planet.

‘Climate …

Draft Final Butte Priority Soils Operable Unit (Bpsou) Unreclaimed Sites: Ur-03 Site Remedial Action Work Plan (Rawp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

The Use Of Lidar In The Study Of Terrain Ruggedness Of Tsunami Inudation Areas At Grewingk Lake And Taan Fiord, Alaska Usa, Shannon P. Mckinnion

All Master's Theses

ABSTRACT

THE USE OF LIDAR IN THE STUDY OF TERRAIN RUGGEDNESS OF TSUNAMI INUDATION AREAS AT GREWINGK LAKE AND TAAN FIORD, ALASKA USA

by

Shannon Patricia McKinnion

In order to test the hypothesis that lidar technologies can detect possible changes in terrain ruggedness due tsunami inundation within a designated area, digital elevation models (DEM) were generated from lidar data for two sites with known tsunami inundation— Grewingk Lake, Alaska and Taan Fiord, Alaska. Cobbles and boulders in these locations were examined using existing terrain ruggedness tools in ArcHydro— Terrain Ruggedness Index (TRI) and Vector Ruggedness Measurement (VRM). The average values …