Digital Commons Network^™

Exploring Workforce Attrition In Early Childcare Sector Using Data Segmentation, Machine Learning And Artificial Neural Networks., Anna Fontani-Tankovska

ICT

This research presents a framework of workforce attrition exploration based on integration of data segmentation, feature selection and classification models. K-prototypes clustering and generation-based segmentation are applied to create data subsets processed using logistic regression, random forest, naïve Byes, and artificial neural networks. By segmenting data, this study aims at enhancing models classification capacity. To address data imbalance and improve models ability to identify minority class, synthetic minority oversampling technique (SMOTE) and adaptive synthetic sampling approach (ADASYN) are applied, with average recall rate improving from 0.39 to 0.61 (SMOTE) and 0.50 (ADASYN). Feature selection using Recursive Feature Elimination with SVC …

Predicting Monthly Weather Anomalies In Ireland: A Comparative Study Of Machine Learning And Deep Learning Models., Fiona Behan

ICT

Abstract

This study investigates the application of statistical, machine learning, and deep learning methods to detect monthly weather anomalies in Ireland between 1960-2024. Climate variability is intensifying globally, increasing the urgency for accurate detection of unusual weather events. Using publicly available data from Met Eireann provided by the CSO PxStat Open Data Portal, the research applied comprehensive preprocessing including Bayesian Ridge iterative imputation, temporal and seasonal feature engineering, and ensemble statistical anomaly labelling based on z-score, interquartile range, and rolling residual analysis. Four models were developed and evaluated: Isolation Forest, XGBoost, Long Short Term Memory networks, and Gated Recurrent Units, …

Investigating The Effectiveness Of Traditional Vs Hybrid Time Series Models In Operational Planning., Cristina Priolo

ICT

This study conducts a systematic comparison of traditional and hybrid time series forecasting models for operational planning in a SaaS company, using large multichannel, multilanguage datasets aggregated at six-hour intervals. Classical models (ARIMA, SARIMA, ETS) are evaluated against hybrid models (ARIMA-ANN, SARIMA-ANN, ETS-ANN) to assess their ability to capture both linear and nonlinear patterns. Forecasts over a three-month horizon were evaluated using RMSE, MAE, and MAPE, with hyperparameter optimization applied to all models. Results show that hybrid models, particularly ARIMA-ANN and SARIMA-ANN, outperform traditional models in predicting volatile and high-volume data, while traditional models remain competitive for stable datasets. These …

Theory And Applications Surrounding Markov Chains, Joseph J. Quisito Jr., Gallean Brown, Elijah Yoder

Capstone Showcase

This capstone project explores the Markov Chain – a mathematical model used to describe systems that transition between states based on probabilities. It begins by introducing the fundamental concepts, including transition matrices, state classifications, and stationary distributions. The paper then applies Markov Chain theory to real-world scenarios, such as simulating Snakes and Ladders games, predicting soccer match outcomes for Manchester United, and generating texts from movie lines. Finally, it discusses key findings, challenges, and potential areas for future research in the field.

Streamlining The Data Mining Process Through Ai-Driven Prompt Templates, Mia Montevirgen, Drew Yan, Clara Lu, Laurent Shen, Weihong Ni

Capstone Showcase

With the increasing use and relevancy of AI in the world, this project aims to harness the power of AI, specifically ChatGPT, to streamline the process of data mining workflows. By developing custom prompt templates, this project seeks to utilize OpenAI API to assist with key data mining tasks, including data understanding, importing, and cleaning. This approach aims to increase workflow speed, reproducibility, and accessibility in data mining projects. The effectiveness of these prompt templates is evaluated by applying them to diverse datasets and assessing their impact on accuracy, efficiency, and reproducibility. Overall, the project highlights the potential to use …

The Impact Of Behavior Skills Training On Secondary Math Teachers’ Use Of Evidence Based Classroom Management Strategies, Molly E. Jouflas, Kimberly Dean Dr., Peggy Hickman Dr.

Capstone Showcase

School-Wide Positive Behavior Interventions and Supports (SW-PBIS) is a research-based approach that improves student engagement, behavior, and school culture, primarily in elementary schools, but is growing in secondary schools. Secondary teachers often resist SW-PBIS due to perceptions that it’s meant for younger students and the belief that high schoolers should already know socially appropriate behavior. One significant barrier to its implementation is the lack of time and space for effective teacher training at the secondary level (Estrapala et al., 2021; Swain-Bradway et al., 2015). Behavior skills training (BST), derived from applied behavior analysis, has proven effective in training educators to …

Ai Art And U.S. Copyright Decisions: What The U.S. Can Do Differently Than China And The E.U. To Efficiently Promote Balance Between Ai Innovation And Copyright Regulation, Adam Pycior

Loyola University Chicago International Law Review

The rapid development of Artificial Intelligence ("Al") in recent years has spurred a plethora of discussions concerning ethical boundaries, government regulations, and more. Thaler v. Perlmutter highlights a unique one: the challenging question of if, and how, AI generated artworks may be copyrightable. The court denied copyright to plaintiff Stephen Thaler's work "A Recent Entrance to Paradise" generated by his AI system, "The Creativity Machine," holding that autonomously generated works cannot be copyrighted under the existing precedent. However, the court failed to answer, though it acknowledged, the pressing question as to the degree of human input necessary to copyright such …

The Importance Of Astronomy: Practical And Fundamental Aspects, Bailey N. Rossetti

Integrated Studies

Astronomy is both a field that answers fundamental theories and questions about our universe, while also advancing practical innovations that are used today. Astronomy analyzes questions about life beyond planet Earth and explores how planets, galaxies, and stars form. From early stargazers who only depended on stars for timekeeping and navigation to new advances in telescopes and space missions, astronomy has deepened the knowledge of humans for centuries. Astronomy has also supplied us with ways to track time, make calendars, and use navigation such as GPS systems. Beyond expanding discoveries, astronomy created technologies with wide-ranging features-- including medical imaging, satellite …

Price Sensitivity In The Secondhand Market: An Analysis Of Consumer Behavior On Ebay, Reyna Kleemeier

Scripps Senior Theses

The secondhand market is rapidly expanding, driven by growing consumer interest in sustainable consumption and economic value. This thesis examines consumer price sensitivity within the online resale market. Using a unique dataset of eBay clothing transactions, I employ an OLS regression model to analyze price elasticity of demand across various categories of new and used goods. I find that used goods exhibit characteristics of Veblen goods, where higher prices correlate with increased demand, suggesting that consumers perceive elevated prices as signals of rarity, quality, or exclusivity. My results highlight the nuanced dynamics of online resale markets, where consumer behavior is …

Spatial Vulnerability Towards Flooding And Mitigation Of Three Coastal Cities: Charleston, South Carolina | Passaic City, New Jersey| Virginia Beach, Virginia, Kory Abbott

All Graduate Theses, Dissertations, and Other Capstone Projects

This meta-analysis investigates the impact of flooding on three coastal communities along the Atlantic Coast: Charleston, South Carolina; Passaic City, New Jersey; and Virginia Beach, Virginia. One goal of this paper is to determine the adequacy or inadequacy in the flood mitigation responses of these communities so that future actions can be taken to improve flood mitigation measures. Another goal is to consider whether the cities experience environmental injustice in terms of flooding mitigation. This paper draws from governmental documents, news reports, local experiences, updated storm management systems, and scholarly articles. The methodology used in this meta-analysis is as follows: …

Precision Bootstrap Studies Of Fermions And Stress Tensors In Conformal Field Theories, Matthew Stephen Mitchell

Yale Graduate School of Arts and Sciences Dissertations

Conformal field theories (CFTs) describe a wide variety of scale-invariant phenomena. As CFTs are tightly constrained by symmetry, unitarity, and self-consistency, it is possible to compute rigorous bounds on their observables by translating these constraints into a semidefinite programming problem. This approach, known as the numerical conformal bootstrap, has been used to great success in recent years, and has produced the tightest bounds to-date on the critical exponents of 3d Ising and O(N) models. In this work, we conduct bootstrap studies of spinning operators in several CFTs.

First, we present a numerical bootstrap analysis of the critical 3d Gross–Neveu–Yukawa models, …

Same Dynamics, Different Graph: Exploring Correlations, Similarities, And Renormalization Of Dynamics On Networks Using Temporal Distance Theory, Matthew Hockenbrock

Master’s Theses

Analyzing dynamics that take place on graphs (networks) is fundamental to modern network theory, with applications spanning biology, social networks, and engineering systems. A significant body of research exists that considers the similarity and scaling of network topologies. However, understanding how dynamic behavior varies across different graph topologies - particularly how signals propagate and dynamic behaviors scale between small and large networks - remains a significant challenge.

To address this challenge, this thesis presents a comprehensive framework to analyze how dynamic signals propagate and scale on network topologies using temporal distance theory. Three research goals were accomplished. First, a …

On The Applicability Of Generating Pathological Speech Data Using Large Language Models, Caroline Hopkins

SURF Posters 2025

Pathological speech data is scarce in Speech-Language Pathology (SLP). Synthetic data, thus, is an appealing alternative. It extends the amount of usable data without the risk for privacy concerns that naturally occurring data may bring. In this work, a collection of Large-Language-Model-based methods for generating synthetic pathological speech data are studied. Human experts in SLP as judges delivered negative opinions on the quality of the synthetic data generated by a variety of prompt engineering methods. From the judgements, the resulting data was found to be weak in reflecting the characteristics of the target disorders. Further research will involve fine-tuning the …

Moore Graphs, Trevor Saxton

Williams Honors College, Honors Research Projects

A Moore graph is a simple regular graph, with n vertices, degree d, and diameter k, that satisfies the Moore bound: n = 1 + d (d − 1)k − 1 d − 2 . There are graphs for which the bound is met and in which existence and uniqueness are known. For k = 2 it is known that the Moore bound is achieved for d = 2, 3, 7, with the case of d = 57 conjectured to exist. For k = 3 the bound is achieved for only d = 3 [5]. Due to the construction of …

Analysis Of Sled Dog Biomechanics, Natalie Bender

Williams Honors College, Honors Research Projects

This paper is an analysis of data collected by Dr Rachel Olson and her team. The data was collected from the same set of sled dogs before and after training for the Iditarod race. The goal of this paper is to draw conclusions on whether the gait of sled dogs’ change with fitness level. The data was cleaned in R to find the average peak for forelimb joint angles per run for each dog. The data was analyzed with 3 different ANOVAs – one including both the shoulder and carpus, one for just the shoulder, and one for just the …

Time Series Modeling Of Akron Air Quality Index (Aqi) Data, Mason Yurich

Williams Honors College, Honors Research Projects

With the increase in population and industrialization around the world, climate has become a major concern for many researchers. One measure that has drawn much interest is air quality. There are available resources that track the Air Quality Index (AQI) in most large cities, but there is a general lack of information regarding Air Quality forecasts, even for one day in the future. This project aims to find a useful statistical model for representing and predicting the AQI measure in Akron, Ohio over time. By using historical air quality data from the United States Environmental Protection Agency and AQI.in, an …

Geochronology And Geomorphology Of The Brule Spillway Of Glacial Lake Duluth, Madeline Josephine Laaksonen

All Graduate Theses, Dissertations, and Other Capstone Projects

During the Late Pleistocene and Early Holocene, a series of dyssynchronous advances and retreats resulted in the evolution of the Upper St. Croix River Valley. Proglacial lakes forming at the margins of the retreating ice within the Lake Superior Basin and subsequent multiple drainage events through the Brule Spillway have also drastically shaped the landscape. As a result, the Brule Spillway and broader St. Croix River valley presents an important case study to spillover processes occurring in proglacial landscapes and the reorganization of regional drainage networks and creation of a new hydrogeomorphic regime. While prior literature on the Spillway exists, …

Advancing The Characterization Of Geophysical Signals Through Array Processing And Artificial Intelligence, Miro Ronac Giannone

Earth Sciences Theses and Dissertations

In geophysics, seismic and infrasound observations are routinely employed to constrain the nature and origin of events. Seismoacoustics, as a discipline, is built upon the simultaneous detection and integrated analysis of these data types. This joint approach is critical not only for advancing scientific understanding but also for supporting global monitoring efforts in hazard mitigation and nuclear explosion treaty verification. The data analyzed in this dissertation were recorded by array deployments, which consist of multiple sensors arranged in predetermined configurations to enhance signal detection, resolve directionality, and quantify waveform coherence. Leveraging these array recordings, I introduce novel approaches which combine …

The Signal Of Airplane Combustion In Soil At A Small Airport In Ohio, Rachel Engels

Williams Honors College, Honors Research Projects

Leaded gas has been banned for automobile use in the interest of public health since 1996. However, leaded gas is still used for small piston aircraft so the engine can run safely. To investigate potential environmental impacts of leaded gas, 90 soil samples were taken from around a small airport in Ohio. Soil elemental composition was measured by X-ray fluorescence (XRF), soil organic content determined by Loss-on-Ignition (LOI), and soil ferrimagnetic content measured by magnetic susceptibility. There is an unmistakable airplane fuel combustion signal in the soil at the ends of the runway, where aircraft wait to take off on …

Integrating Oral Health Into Diabetes Patient Education, Lindsey Van, Jeztine Clavecillas, Queena Chae

Doctor of Nursing Practice Projects

No abstract provided.

Oral Hygiene In Hospitalized Patients: Why Nursing Education Matters, Jieun Jugao, Jordan Cusick

Doctor of Nursing Practice Projects

Daily oral care for non-ventilated acute care patients significantly reduces hospital-acquired pneumonia (NV-HAP), dementia risk, reduces length of stay, and enhances patient well-being. Sustaining these outcomes requires ongoing patient-centered education to reinforce adherence and optimize long-term care practices.

Insights On The Cranial Anatomy And Osteohistology Of Cyonosaurus, Alexander Acker

Dissertations

This study investigates the cranial anatomy and life history of the small-bodied gorgonopsian Cyonosaurus. Previous research on gorgonopsians has disproportionately focused on larger members of the clade, leaving smaller forms relatively understudied. This gap has led to several unresolved questions, the most pressing of which concerns gorgonopsian ontogeny. Specifically, it remains unclear whether small-bodied gorgonopsians represent genuinely diminutive adult individuals or juveniles of larger species. The specimen NHCC LB1087 presents an ideal opportunity to address this issue and gain new insights into the biology of small-bodied gorgonopsians. The first chapter focuses on cranial anatomy. Due to the specimen’s preservation, many …

Soil Phosphorus Retention In A Palustrine Wetland Chronosequence Of The Northern Mississippi Embayment, Cora Lee Aossey

Theses and Dissertations--Plant and Soil Sciences

The USDA NRCS Agricultural Conservation Easement Program Wetland Reserve Easements is focused on converting marginal agricultural lands to wetlands to restore hydrologic function and enhance wetland habitat. There is a gap in knowledge of how phosphorus (P) dynamics develop as these wetlands are converted from row crops to wetland vegetation over time. Recently converted wetlands have the potential to develop into P sinks. In this study, a chronosequence of former farmlands converted to forested palustrine wetlands in the northern Mississippi Embayment was used to evaluate the potential mobility of P post-conversion. Three soil depth intervals were analyzed for water-soluble P, …

Enhancing Faculty Self-Efficacy In Student Retention Through Teas Reading Comprehension Score Education, Katina A. Ennis

Doctor of Nursing Practice Projects

Student retention remains a persistent challenge for Associate Degree in Nursing (ADN) programs, with significant implications for the nursing workforce amid a national shortage. Faculty self-efficacy in interpreting and utilizing academic readiness data, particularly ATI TEAS reading comprehension scores, is often limited, leading to missed opportunities for early intervention. This Doctor of Nursing Practice (DNP) quality improvement project evaluated whether a targeted educational intervention could enhance faculty self-efficacy in using TEAS reading comprehension scores to support at-risk students and improve retention strategies.

The project employed a quantitative pre- and post-intervention design using the validated Teacher’s Sense of Efficacy Scale (TSES) …

Engagement In Practice: Partnering With Communities To Address Nuisance Flooding Challenges, Carol L. Considine, Mujde Erten-Unal, Dalya Ismael, Luka Alandra Hamal-Serenity, Farzaneh Soflaei

Engineering Technology Faculty Publications

Many communities are already experiencing the impacts of climate change that disrupt their daily lives. In Coastal Virginia, these impacts take the form of nuisance and stormwater flooding caused by sea level rise and changes in precipitation. Coastal Virginia has one of the highest relative sea level rise rates on the Atlantic Coast and the regional planning district commission recommends that Atlas 14 rainfall intensity, duration, and frequency curves be increased by 20% to account for changes in rainfall. The Coastal Community Design Collaborative (CCDC), a partnership between Hampton University Architecture and Old Dominion University Engineering & Technology, has had …

Secure Federated Learning Via Neural Cryptography With Homomorphic Operations, Espen Sele, Ferhat Ozgur Catak, Jungwon Seo, Murat Kuzlu

Engineering Technology Faculty Publications

This study examines neural cryptography with homomorphic operations as an alternative secure aggregation method for federated learning (FL). It proposes a novel neural cryptographic system supporting homomorphic addition on fixed-point encrypted data, and consisting of three networks, namely (1) an encryption network (Alice), (2) a homomorphic network (HO), and (3) a decryption network (Bob), along with an adversarial Eve network. Using the MNIST dataset, the proposed Neural Homomorphic Operation System (NHOS) is evaluated against a plaintext baseline and the CKKS scheme, a widely used public-key homomorphic encryption method. The results show that the proposed NHOS approach offers a satisfying performance, …

Teacher Professional Development Related To Emergent Bilinguals: Teacher Perceptions And Experiences, Courtney Simko

Master's Theses and Doctoral Dissertations

As of 2021, the National Center for Education Statistics reports that there are 5.3 million students whose first language is one other than English, or are emergent bilinguals (EBs), in the United States. If teachers are not prepared adequately, they are not able to meet the needs of students appropriately. The following study sought to determine whether or not public school elementary teachers in Southeastern Michigan felt prepared to teach EBs, as well as their perceptions of the training they received. This information is important, as it is necessary to identify gaps in professional learning by determining whether teachers feel …

Agentic Ai Systems In Professional Domains: A Probabilistic Framework For Role Suitability And Legal Accountability, Matthew Veach

Master's Theses and Doctoral Dissertations

This thesis presents a cross-sector analysis of agentic AI systems deployed in STEM, education, healthcare, and enterprise domains, with a focus on role suitability, orchestration maturity, and legal accountability. It introduces the Bounded Agentic Suitability Envelope, a dual-bound scoring framework that evaluates deployment viability using weighted assessments of agent capability and decomposed role complexity. Through case studies from Fujitsu, Cleveland Clinic, Carnegie Learning, and Duolingo, the thesis demonstrates measurable gains in efficiency, personalization, and compliance. It argues for an augmentation-first strategy, preserving human roles in high-context domains while enabling targeted replacement in low-complexity workflows. To mitigate risk, the thesis formalizes …

Southern Adventist University Adult Degree Completion Catalog 2024-2025, Southern Adventist University

Catalog, Adult Degree Completion

Southern Adventist University's adult degree completion catalog for the academic year 2024-2025.

The Environmental Cost Of Intelligence: Regulating The Climate Impact Of Artificial Intelligence, Emilee Calvin

Colorado Environmental Law Journal

No abstract provided.