Digital Commons Network^™

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. …

Predicting Student Academic Performance Using Behavioural And Parental Engagement Data From Learning Management Systems, Saeed Alfalasi

Theses

This paper explores how behavioral, academic, and parental engagement data provided within the xAPI-Edu-Data dataset can be used to predict the academic performance of students when training on machine learning models with supervised learning. Due to the developing demands of the data-driven initial selection of the learners under risk, the study will create a valid and explainable predictive model that can consider the most significant factors of student success in Learning Management System (LMS). The research is based on behavioral engagement and self-regulation learning theories; the observations included in the analysis of student interaction, i.e. resource usage, classroom engagement and …

Crypto Exchanges In Market Regulation, Yesha Yadav

Vanderbilt Law Review

The cryptocurrency market has proven notoriously challenging to regulate despite a decade during which it has gained in economic size, sophistication, and cultural impact. Even as repeated crises have left ordinary savers wiped out, regulation has shown itself to be woefully absent as a means of mitigating risks ex ante or helping cover the cost of damage ex post. This Article looks to break this deadlock by proposing a tried-and-tested solution: It argues that regulators should task crypto exchanges with providing oversight as self-regulatory organizations of the crypto market in which they play an anchoring role. It offers three supporting …

Availability And Utilization Of School Library Resources And Its Impacts On The Academic Excellence Of Secondary School Students In Edo State., Iyobosa Ewere Mrs., Ben Asuquo, Glory Mbah Mrs.

Library Philosophy and Practice (e-journal)

The study examines availability, and utilization of school library resources and its impacts on the academic excellence in secondary school libraries in Edo state. The descriptive survey research was adopted for the study. The population of the study was 2162 senior secondary school students from Idia Girls’ College, Boiling Point Academy and UNIBEN Demonstration Secondary School. The sampling techniques used for the study was Random Sampling Technique, a total of 216 respondents was used as the sample size representing 10% of the total population. A well structured questionnaire was designed and distributed to respondents .A total of 216 copies of …

Likelihood-Based Inference For Random Networks With Changepoints, Daniel Cirkovic, Tiandong Wang, Xianyang Zhang

Mathematical and Statistical Science Faculty Research and Publications

Generative, temporal network models play an important role in analyzing the dependence structure and evolution patterns of complex networks. Due to the complicated nature of real network data, it is often naive to assume that the underlying data-generative mechanism itself is invariant with time. Such observation leads to the study of changepoints or sudden shifts in the distributional structure of the evolving network. In this paper, we propose a likelihood-based methodology to detect changepoints in undirected, affine preferential attachment networks where, upon introduction, a new node selects one old to attach to with probability proportional to its degree. In particular, …

Efficient Preservation Of Old Methane-Derived Organic Carbon In Deep-Sea Surface Sediments, Rui Bao, Yangli Che, Mingzhi Liu, Naiyu Zhang, Yang Zhou, Lihua Dong, Shen Li, Owen A. Sherwood, Min Yu, Zongheng Chen, Shengxiong Yang, Nan Wang, Longhai Zhu, Jiawang Chen, Mutai Bao, Haoshuai Li, Luonan Chen, Weifeng Wu, Haiyue Ma, David J. Burdige

OES Faculty Publications

Methane released from the subseafloor is significantly attenuated during upward migration, yet the preservation of methane-derived organic carbon (OC) in global deep-sea sediments remains poorly understood. Here, we measured carbon isotopes coupled with temperature-ramped analyses on various methane seepage sediments. Our results reveal a correlation between the radiocarbon (¹⁴)C) content in deep-sea surface sediments and sulfate-methane transition depth. Notably, our findings suggest that a substantial amount of (¹⁴)C-depleted OC may originate from deep-seated methane and is efficiently preserved in surface seepage sediments. We propose that the efficient OC preservation is related to microbial-mediated aggregate formation at the seawater-sediment interface, where …

Differences In Sideerophore Production During The Growth Of Phytoplankton In Southern Ocean Incubation Experiments Under High- And Low-Iron Conditions, Randelle M. Bundy, Kristen N. Buck, Bethany D. Jenkins, P. Dreux Chappell, Daniel J. Repeta, Alexa Sterling, Shannon M. Yang, Laura Holland, Léo Mahieu, Laura E. Moore

OES Faculty Publications

Iron is an important micronutrient required by marine microorganisms. The Southern Ocean is an ecosystem where primary production is limited by the availability of iron, but how microorganisms in this region adapt to low-iron conditions or respond to episodic iron inputs is understudied. We tested how external iron additions would impact bacterial production of siderophores during phytoplankton growth using shipboard incubation experiments under a range of iron conditions. Similar heterotrophic bacteria communities and phytoplankton biomass were observed whether iron was added from the continental margin or as inorganic iron. Under both high- and low-iron conditions, the heterotrophic bacteria community remained …

The Distribution Of A-Numbers Of Hyperelliptic Curves In Characteristic Three, Derek Garton, Jeffrey Lin Thunder, Colin Weir

Mathematics and Statistics Faculty Publications and Presentations

In this paper we present a new approach to counting the proportion of hyperelliptic curves of genus g defined over a finite field Fq with a given a-number. In characteristic three this method gives exact probabilities for curves of the form Y 2 = f(X) with f(X) ∈ Fq[X] monic and cubefree, probabilities that match the data presented by Cais et al. in previous work. These results are sufficient to derive precise estimates (in terms of q) for these probabilities when restricting to squarefree f. As a consequence, for positive integers a and g we show that the nonempty strata …

Numerics: A .Net Library For Numerical Computing, Statistical Analysis, And Risk Assessment, C. Haden Smith, Woodrow L. Fields, Julian Gonzalez, Sadie Niblett, Brennan Beam, Brian Skahill

Mathematics and Statistics Faculty Publications and Presentations

Numerics is a free and open-source numerical computing library for .NET, developed by the U.S. Army Corps of Engineers Risk Management Center (USACE-RMC). The library provides 43 univariate probability distributions with L-moment and maximum likelihood parameter estimation, eight Markov Chain Monte Carlo (MCMC) samplers for Bayesian inference, bootstrap uncertainty quantification, bivariate copulas, optimization algorithms, and numerical methods for integration, differentiation, root finding, and linear algebra. Numerics targets engineers, scientists, and analysts working in infrastructure risk assessment, flood frequency analysis, and Monte Carlo simulation within .NET-based enterprise systems. The library supports .NET 8.0 through 10.0 and .NET Framework 4.8.1 and is …

Application Of Heron's Formula, Hidefumi Katsuura

Faculty Research, Scholarly, and Creative Activity

We apply Heron's formula to obtain a generalized Ptolemy's theorem, to prove Euler's formula for the volume of a tetrahedron, and to prove Klain's theorem on reversible tetrahedra. After that, we prove triangle inequalities derived from a tetrahedron, find an inequality on the circumradius of a tetrahedron, find a volume expression of an isosceles tetrahedron, and give a condition for four points in the space to be co-planar.

Legal Ethics Of Ai Snake Oil: Navigating The Hype, Harm, And Hope Of Legal Ai, Drew Simshaw

Scholarly Works

This paper argues that the legal ethics of AI extend far beyond competence and hallucinations. It shows how AI often functions as a mirror, exposing deeper ethical questions about institutional incentives, lawyer wellbeing, access to justice, and AI's broader social and environmental impacts.

Access To Digital Health Technologies: Personalized Framework And Global Perspectives, Sanjiv M Narayan, Mina K Chung, Demilade Adedinsewo, Luisa C C Brant, Leslie L Davis, David Duncker, Jennifer L Hall, Janet K Han, Carolyn S P Lam, Eldrin Lewis, Joseph Loscalzo, Manlio F Márquez, Vasiliki Rahimzadeh, Fatima Rodriguez, Prashanthan Sanders, Emma Svennberg, Kenneth Stein, Mintu Turakhia, Clyde Yancy, Antonis A Armoundas

Center for Medical Ethics and Health Policy Staff Publications

The emergence and rapid adoption of digital health technologies (DHT) present unprecedented opportunities to democratize and reduce disparities in health care by monitoring health and disease at the point of care in all patients. However, limited access to DHT is becoming a major obstacle to realizing these goals. Access to DHT is influenced not only by well-recognized social determinants of health, but also by digital determinants of health, such as digital literacy and the need for broad access to digital infrastructure, as well as commercial and economic factors. Addressing these challenges and designing unbiased systems of care are essential to …

An Empirical Framework For Evaluating Semantic Preservation Using Hugging Face, Nan Jia, Anita Raja, Raffi Khatchadourian

Publications and Research

As machine learning (ML) becomes an integral part of high-autonomy systems, it is critical to ensure the trustworthiness of learning-enabled software systems (LESS). Yet, the nondeterministic and run-time-defined semantics of ML complicate traditional software refactoring. We define semantic preservation in LESS as the property that optimizations of intelligent components do not alter the system's overall functional behavior. This paper introduces an empirical framework to evaluate semantic preservation in LESS by mining model evolution data from HuggingFace. We extract commit histories, $\textit{Model Cards}$, and performance metrics from a large number of models. To establish baselines, we conducted case studies in three …