Digital Commons Network^™

Key Processes Involved In The Vortex Alignment Of Sheared Tropical Cyclones, Luis O. Hernandez

Electronic Theses & Dissertations (2024 - present)

Tropical cyclones (TCs) are challenging to forecast when under vertical wind shear (VWS). VWS tilts a TC’s vortex, creating asymmetries in its structure that impedes intensification. Although work has been done to conceptualize and understand how TCs evolve under shear and how they axisymmetrize and intensify, vortex alignment remains a complex and unresolved topic. The goal of this study is to assess what physical processes are important to tilt reduction and how these processes evolve in weak TCs. Using the Hurricane Analysis Forecast System Model-B (HAFS-B) 2.1, a case study on two storms, Hurricane Earl (2022) and Hurricane Lee (2023) …

An Evaluation Of Current And Future Extreme Precipitation Events In The South American Altiplano Using Convective-Permitting Model Simulations, Karen R. Conron Chamberlain

Electronic Theses & Dissertations (2024 - present)

Extreme precipitation events in the South American Altiplano present significant hazards to communities in the Andean region, yet their future characteristics under anthropogenic climate change remain uncertain because of complex terrain and limitations of course-resolution climate models. This study evaluates the ability of South America Affinity Group Weather Research and Forecasting (SAAG-WRF) model with 4-km grid-spacing to reproduce 2000-2015 temperature, precipitation, and extreme precipitation events over the Altiplano. Examination of projected future changes is completed using the SAAG-WRF pseudo global warming (WRF PGW) simulation representing an approximately 3°C warmer global climate. The historical/control simulation (WRF CTL) was evaluated against DECADE …

From Written Curriculum To Classroom Practice: Teacher Supplementation In The Teaching Of American Slavery In Florida And New York, Matthew T. Maloof

Electronic Theses & Dissertations (2024 - present)

This study examined how K–12 public school teachers in Florida and New York perceived the adequacy of curriculum standards and instructional materials for teaching American slavery, how they responded when those materials were perceived as limited, and how the standards and materials aligned with Shuster’s (2018) Ten Key Concepts for Teaching American slavery. Using a qualitative multi-method design, the study combined qualitative survey research with document analysis. Teachers’ open-ended survey responses were analyzed through a Modified Grounded Theory approach, while curriculum standards and instructional materials were analyzed in relation to Shuster’s framework. The final sample included 41 teachers, including 20 …

On Quantum Processes And The Epistemic Constraints, Varun Immanuel Premkumar Immanuel

Electronic Theses & Dissertations (2024 - present)

This doctoral dissertation on the foundations of quantum theory tells the story of a conceptual protagonist I have called “Epistemic Constraint.” Here, epistemic constraints are the definite, intersubjectively agreeable, ordinary-language conditions under which experiments are described.

The usual formulation of the quantum measurement problem, which I call the Schrodingerian measurement problem, has the structure of an anomaly: if we take quantum theory at face value, we expect no definite values, and yet we see definite values in experiments. The responses to this problem have been either to solve it or to dissolve it. These responses, which have taken the form …

Drivers Of Extreme Streamflow During A Snowmelt-Enhanced Heavy Rainfall And Atmospheric River Event In The Catskill Mountains Of New York, Christopher A. Gilberti

Electronic Theses & Dissertations (2024 - present)

This study uses atmospheric reanalysis, precipitation and snow water equivalent (SWE) analyses, mesonet observations, and streamflow records to examine the impact of an atmospheric river storm that produced heavy rainfall and snowpack ablation across the Catskill Mountains of New York on 24–25 December 2020. Earlier in December, an antecedent storm produced SWE values in the Catskills above the 90^th percentile for that point in the season. The atmospheric river event followed with strong southerly warm-air advection ahead of an anomalously deep trough, temperatures and dewpoints that exceeded 10°C, and heavy orographically enhanced rainfall and rapid snowmelt. Sensible heat fluxes …

The Predictability And Verification Of Precipitation From Landfalling Tropical Cyclones Using An Object-Based Framework, Melissa Piper

Electronic Theses & Dissertations (2024 - present)

Precipitation from landfalling tropical cyclones (TCs) poses a significant risk to life and property in both coastal and inland communities. Early warning systems can help mitigate the impacts of TC-induced flooding; however, this requires accurate quantitative precipitation forecasts (QPFs). Forecasting precipitation from landfalling TCs is a challenge, as the intensity, duration, and location of precipitation can be dependent on numerous storm-related and environmental factors. Previous studies have attempted to identify and correct NWP model deficiencies and reduce forecast uncertainty by applying traditional and advanced verification metrics to TC QPF. However, these studies have mostly used gridpoint verification metrics, limited samples …

The Ellipsoidal Principal Semi-Axis Geometry Of The Solution To An Ivp For A Matrix Diffusion Pde, Brandon M. Fox

Electronic Theses & Dissertations (2024 - present)

We analyze the underlying geometry of the solution to an IVP for a matrix diffusion PDE. We first derive the fundamental solution to the PDE. We then determine the unique solution to the IVP. From there, we begin analyzing its underlying geometry. We first observe that the geometry exhibits an ellipsoidal nature. Furthermore, we observe that it is described by the principal semi-axis geometry of the ellipsoids associated with the solution. This conclusion follows from applying the Principal Axis Theorem to the associated ellipsoids to establish their principal semi-axis geometry, as governed by the eigenstructure of the matrix. This thesis …

Weather-Related Road Condition Detection Using Co-Developed Machine Learning Methods, Carly Sutter

Electronic Theses & Dissertations (2024 - present)

Transportation agencies make critical operational decisions during hazardous weather events, including assessment of road conditions and resource allocation. In this study, machine learning models are developed to provide additional support for the New York State Department of Transportation (NYSDOT) by automatically classifying road conditions across the state. Convolutional neural networks and random forests are trained on NYSDOT roadside camera images and weather data to predict road surface conditions. This task draws critically on a labeled dataset of 22,000 camera images containing six road surface conditions (severe snow, snow, wet, dry, poor visibility, and obstructed) generated from an iterative hand-labeling process …

On The City-Scale Energy Balance Under Electrification And Renewable Generation: The New York City Case, Nour Elgalad

Electronic Theses & Dissertations (2024 - present)

Integration of renewable resources to meet the growing energy demand of dense urban regions is becoming a global priority under decarbonization mandates. This study contributes to these ongoing efforts by assessing the feasibility of using locally deployable urban renewable resources, namely offshore wind in the New York Bight region and rooftop photovoltaic (PV) systems over New York City, to meet the electricity demand of the city, and the grid vulnerabilities that emerge, during two contrasting extreme-weather periods: the intense heatwave of June 2025 and a fully electrified winter cold snap in January 2018. A unified, meteorologically driven modelling framework, based …

Improving Modeling Of Corrosion Products In The Primary Circuit Of Light Water Reactors Through The Experimental Determination Of Crud Characteristics, Sri Saravana Konganapuram Narasimma Bharathi

Electronic Theses & Dissertations (2024 - present)

High-temperature water flowing through the coolant circuits in pressurized water reactors (PWRs) creates a harsh environment, deteriorating these materials. This corrosion results in the formation of oxide layer(s) primarily composed of nickel ferrites, iron oxides, nickel oxides, and other nickel-iron-chrome spinel oxides. Being exposed to fluid with high flow rates and pressure, these oxide layers can be eroded, resulting in particulate fouling due to the release of corrosion products (Chalk River Unidentified Deposits, CRUD) into the coolant circuit. When CRUD subsequently deposits on fuel surfaces, it negatively affects the fuel performance (heat transfer and fuel failure); in addition, the particles …

Essays On Financial Econometrics And Macro-Financial Forecasting, Zhendong A. Li

Electronic Theses & Dissertations (2024 - present)

The first chapter proposes an innovative supervised learning technique for dimension reduction and forecasting financial and macroeconomic time series in the presence of weak factors that can undermine the effectiveness of traditional Principal Component Analysis (PCA). This approach employs double or multiple supervised learning procedures and is termed ``Supervised Scaled Principal Component Analysis'' (SsPCA). Initially, each predictor is scaled using its predictive slope on the target forecast variable, giving more weight to those with stronger predictive abilities and less to those with weaker ones. Subsequently, utilizing the scaled predictors, we intelligently identify the most informative subset for prediction. This involves …

Bloodstain Pattern Analysis And The Gatekeeping Role Of Canadian Courts, Sara Gordon

All Faculty Publications

Despite its long history of admission throughout North America, there appears to be no published Canadian case subjecting bloodstain pattern analysis to the special scrutiny Canadian law demands for novel or contested scientific evidence. Instead, courts have admitted the evidence based largely on the training and experience of forensic examiners, taking it for granted that the field is sufficiently reliable. However, the application of the White Burgess framework reveals that there are serious and severe concerns about the underlying scientific validity of the technique which should render it generally inadmissible. At Stage One of White Burgess, bloodstain pattern analysis fails …

Hepatitis C Among Persons Who Inject Drugs In New York State: Progress Towards Elimination, Meredith A. Barranco

Electronic Theses & Dissertations (2024 - present)

Background: Hepatitis C virus (HCV) infection is one of the leading causes of liver disease in the United States (US) and worldwide. In the United States today, HCV is transmitted primarily through injection drug use (IDU) and therefore disproportionately impacts persons who inject drugs (PWID), a population with a range of complex social and health needs. HCV is not vaccine-preventable but can be cured in over 90% of cases with an 8–12-week course of daily direct-acting antiviral (DAA) medication. Since approval of curative medications in 2014, various jurisdictions have developed plans to eliminate HCV. In 2021, the New York State …

Analysis Of The Thermodynamic Variables Associated With Hawaiian Extreme Precipitation Using The Fraction Of Attributable Risk (Far), Matthew J. Sinnenberg

Electronic Theses & Dissertations (2024 - present)

The Hawaiian Islands experience extreme maxima in precipitation that vary spatially, by season, and in response to different teleconnection patterns. Due to the islands’ unique geography, they are not well-resolved by global climate models, necessitating a focused assessment to identify  climatological trends. In this study, a probability-based analysis was conducted on regionally averaged thermodynamic variables relevant to the formation of extreme events. The primary objective was to evaluate whether changes in the occurrence of extreme conditions have occurred and to understand how the El Niño-Southern Oscillation (ENSO) influences these occurrence rates.

Hourly data from ERA5 spanning 1980-2019 were resampled to …

Nanostructured Cathode Catalysts For Aem Electrolysis: From Catalyst Design To Degradation And Hydrogen Dynamics, Yamini Kumaran

Electronic Theses & Dissertations (2024 - present)

Anion exchange membrane water electrolysis (AEMWE) presents a promising pathway toward cost-effective and sustainable hydrogen production by integrating the chemical robustness of alkaline systems with the compact, zero-gap design of proton exchange membrane electrolyzers. However, the widespread implementation of AEMWE is limited by the availability of highly active and durable platinum-group-metal (PGM)-free catalysts and by an incomplete understanding of their degradation behavior under realistic operating conditions.

This dissertation focuses on the development, characterization, and mechanistic investigation of nanostructured MoNi₄–MoO₂-based electrodes for efficient and stable hydrogen generation under alkaline and membrane-integrated environments. MoNi₄–MoO₂ nanorods …

Advancing Periodic Time Series Analysis: Application, Bias Assessment, And Optimal Window Selection In The Variable Bandpass Periodic Block Bootstrap Method, Yanan Sun

Electronic Theses & Dissertations (2024 - present)

Time series analysis is essential for understanding long-term patterns, periodic behavior, and underlying correlations in complex datasets. The periodically correlated (PC) time series is a type of time series where the correlation structure repeats over fixed intervals. The Variable Bandpass Periodic Block Bootstrap (VBPBB) has recently been proposed as a resampling method that preserves PC structures through the use of periodogram, bandpass filters, and block bootstrap resampling. Although promising, VBPBB remains underutilized, and its limitations have not been fully examined. This dissertation advances both the application and methodological development of the VBPBB.

The first project applies the VBPBB to a …

Applications Of Machine Learning For Evaluating Downward-Coupled Stratosphere-Troposphere Interactions And Subseasonal Forecasts Of Opportunity, Elena M. Fernandez

Electronic Theses & Dissertations (2024 - present)

Wintertime stratospheric dynamics provide key information for understanding atmospheric teleconnections and improving subseasonal-to-seasonal (S2S) predictions on timescales of two weeks to two months. Periods of enhanced predictability, often referred to as forecasts of opportunity, arise from large-scale teleconnected variability, within which the stratosphere serves as an important precursor for tropospheric states, such as near-surface temperatures. While traditional diagnostics of downward coupled stratosphere-troposphere interactions typically rely on zonal-mean representations of wind and geopotential height, this dissertation presents an alternative vortex-centric framework through metrics that capture the daily geometric and dynamical evolution of the stratospheric polar vortex. The proposed stratospheric …

Time Series Decomposition And Forecasting Of Alzheimer’S Disease Mortality Using A Kolmogorov-Zurbenko Filter, Jack D. Farrell

Electronic Theses & Dissertations (2024 - present)

Alzheimer’s disease mortality has substantially risen in recent history, placing a significant burden on public health infrastructure and highlighting the need for improved analytical methods to better understand mortality data patterns and offer reliable predictions. Time series methods often struggle to balance both accuracy and interpretability, which hinders the ability to gather meaningful insights from time series data. To address these limitations, this study applies the Kolmogorov-Zurbenko (KZ) filter to monthly U.S. Alzheimer’s mortality data spanning from 1999 to 2023 and decomposes the series into long-term trend, seasonal, and noise components on a logarithmic scale. Long-term trend accounts for 86.49% …

Neural Network Transceiver For Ltv Mimo Channels, Iresha Amarasekara

Electronic Theses & Dissertations (2024 - present)

Eigenfunctions are commonly employed to characterize kernels in various data-driven analyses. In machine learning, eigenfunction decomposition typically relies on Mercer's theorem, which assumes kernel symmetry. However, this condition is often unmet in communication systems, where channel kernels are asymmetric due to differences in downlink and uplink propagation environments. The High-Order Generalized Mercer's Theorem (HOGMT) provides a systematic approach for decomposing multidimensional asymmetric kernels into eigenfunctions. To address the complexity of eigen-decomposition, this work introduces a baseline neural network (NN) framework HNET. The HNET framework is further enhanced by incorporating the augmented Lagrangian method (ALM) to explicitly enforce orthogonality constraints. This …

Learning - Augmented Stochastic Model Predictive Control For Adaptive Battery Energy Storage Operation Under Net Load Uncertainty, Muhammad Amad Asif

Electronic Theses & Dissertations (2024 - present)

Battery energy storage systems play a critical role in enabling reliable operation of power systems with high penetration of renewable energy. However, optimal control of BESS is challenging due to uncertainty in net load and electricity prices. Deterministic MPC, which relies on point forecasts, can perform suboptimally under forecast errors. SMPC addresses this limitation by incorporating uncertainty through scenario-based optimization. Nevertheless, its performance depends on fixed objective parameters, particularly the cycling penalty, which governs the trade-off between economic cost and battery utilization. This thesis develops a learning-augmented SMPC framework for battery control under net load uncertainty. The proposed approach integrates …

Schelling & Spinoza, Michael Vater

Philosophy Faculty Research and Publications

Schelling is notorious for having a fluid vision of systematic philosophy and its methods. In an age where philosophy is expected to result in one or two books, not years of discussions with students and colleagues--and certainly not a distillation of one’s way of life--Schelling’s thought has been called protean or restless, or in Hegel’s snarky verdict “an education pursued in public.” The same could be said of Socrates. But there is a truth in these comments; it is difficult to find in fifty-six years of publications, addresses and abandoned manuscripts the single argument that is Schelling’s philosophy. What provokes …

Enhancing International School Implementation Capacity: Supporting Contextualized Learning At An International Baccalaureate School In China, Christopher J. Hayden Iv

Theses and Dissertations--Educational Leadership Studies

International schools allocate substantial resources to implement progressive curricular innovations; however, the advantages offered by these developments are contingent on their effective execution within classroom settings. This mixed methods action research (MMAR) study examined the implementation of the International Baccalaureate (IB) Global Context (GC) Strategy in the Middle Years Programme (MYP) at an international school in China and asked how the school might strengthen its capacity to enact this and similar innovations. Following a sequential MMAR design, a reconnaissance phase combined a whole-staff survey (n=87) with qualitative interviews to diagnose the individual, organizational, and contextual factors shaping implementation. Analyses identified …

Test-Retest Reliability And Validity Of The Gas Exchange Threshold, Erik Ryan Snell Mr.

Theses and Dissertations--Kinesiology and Health Promotion

Theoretically, the gas exchange threshold (GET) demarcates the moderate and heavy intensity domains, whereby exercise performed at and below the GET results in a change in oxygen consumption ([ΔVO₂] ≤ 200 mL), and exercise above the GET results in a slow component (ΔVO₂ > 200 mL). This study examined the reliability and validity of the GET. 14 subjects performed two maximal graded exercise tests (GXTs) to determine the GET and its reliability. The minimal difference (MD = 21W) was applied to determine the GET above (GET_+MD) and below (GET_-MD) power outputs for 30 min …

Are Multiple-Choice And Open-Ended Assessments Consistent In Predicting Science Achievement? Multivariate Multilevel Evidence From Chinese Students And Schools, Quan Wu

Theses and Dissertations--Education Sciences

A multivariate multilevel model was developed and applied to secondary data from a large-scale science assessment of Grade 8 students in China to examine the consistency between multiple-choice and open-ended formats of assessment in predicting science achievement at the student and school levels. The sample included 44,534 students from 159 schools across two regions. Multivariate multilevel results indicated a moderately positive consistency between the two formats at the student level and a strongly positive consistency at the school level; these consistencies were stable across regions and did not depend on student and school characteristics. The findings have important practical implications …

Effects Of Yoga And Mindfulness On Emotional Regulation, Behavior, And Teacher Burnout, Sara E. Smith

Theses and Dissertations--Education Sciences

This dissertation comprises three studies that examine the effects of physical activity, yoga, and mindfulness interventions on students' emotional regulation, behavior, and academic outcomes in rural Kentucky schools. These studies as a whole contribute to understanding how movement-based and mindfulness practices can enhance social-emotional and academic well-being in schools.

The first study describes the effects of classroom-based physical activity on student achievement and social-emotional well-being. Forty-five elementary students participated in a 6-week intervention with two 7-minute movement breaks per day. Results indicated statistically significant improvements in Reading (t(44) = 2.55, p < .001, d = .38), Math (t(44) = 4.63, p < .001, d = .69), and social-emotional competence (t(44) = 3.67, p < .001, d = .55). These findings demonstrate that brief, structured physical activity can meaningfully enhance academic and emotional outcomes when implemented by classroom teachers.

The second study shows the effects of a five-week …

Exploring High School Students’ Learning Interests And Information Sources On Viruses And Covid-19, Sahar Alameh, James W. Keck, Elizabeth Loh, Lin Xiang, Scott M. Berry, Anna G. Hoover, Abigail Knapp, Savannah Tucker

Science, Technology, Engineering, and Mathematics (STEM) Education Faculty Publications

This study investigates high school students’ health-information seeking behaviors related to COVID-19 and viruses in a rural area of the south-central United States, and how these behaviors relate to students’ knowledge, perceptions, and learning interests. Survey data were collected from 83 students in Spring 2023, during the post-pandemic period, as part of a STEM and public health unit. Drawing on frameworks from Health Information-Seeking Behavior and student interest, the study examines students’ COVID-19 information sources, how these sources relate to their knowledge about viruses and their perceptions of COVID-19, and the specific topics about which they were most interested in …

A Historical Case Study Of The Effects Of The Coordinate Interagency Partnership Regulating International Students (Cipris) System And The Student Exchange Visitor Information System (Sevis) On Foreign Students Coming To The United States For Higher Education From 1990 To 2008, M. Ann Livingstone

Theses and Dissertations--Educational Policy Studies and Evaluation

The United States has welcomed foreign scholars and students since 1774, but their numbers increased dramatically after World War I, and again after World War II, as America became a world power leader and interest in the United States and its educational system and technological developments grew internationally. The Immigration and Naturalization Service (INS) was set up to oversee immigrants, visitors, and nonimmigrants who included students and diplomatic staff and families. This study deals with the changing laws and responsibilities of the INS during the period 1990 to 2008 to track foreign students in higher education, specifically with the introduction …

Beyond Teaching: Black And Hispanic Calculus Students Describe Interactions With Faculty, Kevin A. Palencia Infante, Ricela Feliciano-Semidei, Alcibiades Bustillo-Zarate, Ke Wu

Faculty Articles, Papers, and Other Scholarship

The experiences of underrepresented minority (URM) students in science, technology, engineering, and mathematics (STEM) programs provide valuable insights into improving their retention and academic achievement. This study investigates how Black and Hispanic calculus students describe faculty-student interactions. Four students participated in a demographic survey and follow-up interviews, sharing their experiences with calculus learning. Using thematic coding guided by validation theory, the data revealed instructors’ academic practices that either validated or invalidated students’ participation in calculus classes. These practices include cultivating in-class conceptual support, promoting collaborative learning spaces, demonstrating out-of-class academic availability, acknowledging and integrating diverse student experiences, and encouraging metacognitive …

Digital Technologies And Calculus: Students’ Peaks And Pits, Ricela Feliciano-Semidei, Kevin A. Palencia Infante, Alcibiades Bustillo-Zarate

Faculty Articles, Papers, and Other Scholarship

Understanding calculus students’ perspectives can provide valuable insights into their learning needs and help develop strategies to enhance persistence in STEM programs. Numerous studies have shown that the use of digital technologies (DT) influences student engagement, motivation, and mathematics achievement. In this project, we explored students’ perspectives on using DT in calculus. We interviewed eight calculus students from a midwestern doctorate-granting institution in the United States and used thematic analysis informed by the didactical tetrahedron, accounting for internal and external factors that may influence the teaching and learning process. Students reflected on their use of technology, identifying various benefits, including …

Bringing Pandemic Science To The Classroom: Building Public Health Capacity At A Rural Kentucky High School, Sahar Alameh, Anna G. Hoover, James W. Keck, Scott M. Berry, Sagan Goodpaster, Savannah Tucker, Ashley Goodin

Science, Technology, Engineering, and Mathematics (STEM) Education Faculty Publications

In response to the COVID-19 pandemic, a multidisciplinary team at the University of Kentucky developed an interdisciplinary science, technology, engineering, and mathematics and environmental health unit—the Wastewater Assessment for Coronavirus in Kentucky: Implementing Enhanced Surveillance Technology (WACKIEST) Unit—for high school students in summer 2022. This case study outlines the WACKIEST Unit, which focused on wastewater surveillance and COVID-19, the obstacles faced during development and recruitment, and implementation of the WACKIEST Unit in conjunction with a rural wastewater surveillance initiative. The unit was implemented in spring 2023 at a rural high school in Kentucky, spanning 12 days and engaging 190 students. …