Digital Commons Network^™

The Influence Of Composition On Porosity And Strength In Planetary Analog Saline Ices, Tara C. Tomlinson

Dartmouth College Ph.D Dissertations

This thesis investigates how composition influences the physical structure and mechanical behavior of saline ice, with implications for both terrestrial sea ice and the ice shells of ocean worlds such as Europa and Enceladus. This is done through a multi-pronged approach of both numerical modeling and laboratory experiments. Modeling results re- veal that small-scale parameter variations in porosity, permeability, and permeability fac- tor may produce large discrepancies when extrapolated to planetary scales, underscoring the need for improved experimental constraints on pore connectivity and thermochemical conditions. Laboratory analyses show that while total porosity is relatively uniform with depth, it varies strongly …

Reward Representation Learning, Gregory M. Hyde

Dartmouth College Ph.D Dissertations

The \emph{Markov decision process} (MDP) has long served as the canonical model for sequential decision-making. However, it assumes that the reward function is Markov with respect to a given state representation---an assumption that often does not hold in practice. Instead, agents typically only perceive streams of observations and actions and must infer the latent structure according to which reward unfolds over time. From this perspective, reward prediction is initially non-Markov, reflecting a mismatch between the agent's current representation and the underlying structure of the environment.

In this thesis, we advance the view that reward is not simply a signal to …

Engineering Translational Biosensing Tools Forparkinson’S Disease, Mercedes Terry

Theses and Dissertations

Parkinson’s disease is a progressive neurodegenerative disorder characterized by motor dysfunction and early cognitive decline. Diagnosis and monitoring remain largely symptom-driven, relying on clinical scales that capture disease only after significant neurodegeneration has occurred. These assessments are inherently subjective, episodic, and insensitive to early-stage pathology, limiting both timely diagnosis and the ability to track disease progression or therapeutic response. The lack of objective, quantitative biomarkers for both molecular pathology and cognitive impairment remains a major barrier to advancing precision medicine approaches in Parkinson’s disease. This dissertation approaches Parkinson’s disease from two complementary fronts: molecular detection of alpha-synuclein pathology and quantitative …

Machine Learning Applications For Numerical Simulation Of Co2 Sequestration, Adeboye Kayode Adeyinka

Theses and Dissertations

Global CO2 emissions significantly exceed the capacity of planned sequestration projects. Among subsurface storage sites, deep saline aquifers offer the largest theoretical capacity because they occur naturally across most sedimentary basins. However, major geological uncertainties, such as permeability variations and sand continuity, complicate these projects due to sparse well data. Consequently, analyzing CO2 sequestration projects in saline aquifers require robust reservoir simulation which are unfortunately, computationally complex with long runtimes, presenting severe bottlenecks for extensive risk assessment.

Machine learning algorithms can overcome these limitations by drastically reducing computational runtimes, enabling rapid scenario testing and optimization. Despite this potential, existing literature …

The Motivations Of Adult Piano Students In The Republic Of Korea, Eunsong Kim

Theses and Dissertations

Adult participation in piano study has increased in recent years; however, relatively little research has examined how adult learners initiate and sustain long-term engagement. This qualitative study explored the process through which adult piano students develop and maintain motivation over time and how sustained piano study becomes integrated into their everyday lives. Data was collected through semi-structured interviews with five adult piano students in the Republic of Korea and analyzed using thematic analysis to identify recurring patterns in their experiences. The findings revealed that initial motivation was shaped by childhood musical memories, the search for a personal sanctuary, and the …

Technology-Supported Literacy Instruction In Elementary Classrooms (K-5): Perspectives Of Student Teachers In Western Kentucky, Ila B. Shirrell

Honors College Theses

The use of technology in elementary classrooms (kindergarten–fifth grade) has increased significantly with the goal of enhancing instruction. Additionally, educational technology is being used to improve literacy skills, reading recovery, and comprehension. This study examined how technology supports literacy development and instruction in elementary classrooms by drawing upon the perspectives of current student teachers. Student teachers from Murray State University, placed in third through fifth grade classrooms in Western Kentucky, were interviewed. The interviews assessed how technology was used for literacy instruction, including the extent of its effectiveness and potential challenges. Responses were transcribed and analyzed. The themes of evidence-based …

Algorithmic Resilience Memory: Designing Agentic Ai Systems For Organizational Learning And Climate-Crisis Adaptation, Harsha Sammangi, Aditya Jagatha, Navyasri Maddukuri

Research & Publications

Climate disruption has become a persistent organizational condition rather than an episodic event, yet most information systems designed to support organizational resilience treat each disruption as an isolated incident. Existing digital resilience platforms, disaster recovery systems, and AI-driven decision support tools lack the capacity to accumulate, encode, and reuse organizational knowledge across successive climate-related crises. This paper introduces Algorithmic Resilience Memory (ARM), a novel IS construct defined as an AI-enabled organizational capability through which agentic AI systems sense climate-related disruptions, encode prior organizational responses, preserve decision rationale, generate contextually adaptive recommendations, and reconfigure future actions through structured outcome feedback. Drawing …

An Autohistoria-Teoría Of A Pasifika Neptantlera, Belinda 'Ofakihevahanoa Fotu

All Graduate Theses and Dissertations, Fall 2023 to Present

This study was an autohistoria-teoría, a type of autoethnography, where I focused on my writing process as a Pasifika researcher creating a middle- grade fiction. As the researcher, my questions delved into how I engage in writing for a majority-culture dominated publication house in a Western-world writing genre while maintaining the cultural significance of the ancient Pasifika mythologies I reproduced and recontextualized in the novel. The research site was my writing process, and the data gathered came from the variety of ways I navigated cultural stimuli specific to writing the novel. The outcome engaged with the specific way Pasifika (and …

Evaluating The Feasibility, Acceptability, And Preliminary Efficacy Of An Online Acceptance And Commitment Therapy Program To Improve Dietary Quality In Highly Stressed Adults, Francesca M. Knudsen

All Graduate Theses and Dissertations, Fall 2023 to Present

Stress can negatively affect both mental and physical health, which can increase the risk for chronic illness. When people feel stressed, they may also find it harder to make healthy food choices, which can further impact their health. Despite this, there are limited treatments designed to help people improve their dietary quality while managing stress. Acceptance and commitment therapy (ACT) is an evidence-based psychological approach that helps people respond more effectively to difficult thoughts and emotions while behaving in ways that are aligned with their personal values. This study tested whether a brief, online ACT-based program, combined with coaching phone …

Relaxed Convex Approximation For Optimal Control In Cislunar Space, Jondavid K. Hertzel

All Graduate Theses and Dissertations, Fall 2023 to Present

This thesis develops a method of optimal control for a spacecraft in the region between the Earth and the Moon known as cislunar space. The optimal control method is developed through a modern optimization technique called “convex relaxation” to achieve a formulation that can be reliably solved by numerical computation tools. The primary research objective is to evaluate the efficacy of this method in accommodating the physical thrust constraints of a spacecraft. This approach is tested in simulation with an unstable halo orbit around the Moon in the circular restricted three-body problem (CR3BP) model. The simulation incorporates realistic disruptions from …

Characterizing Metabolic Flux Of Plant Secondary Metabolites From Diverse Animal-Source Foods To Humans, Muhammad Ahsin

All Graduate Theses and Dissertations, Fall 2023 to Present

There is a popular saying: “You are what you eat.” But does this also mean, “You are what your food eats”? This dissertation explores that question by examining how farming practices shape the nutritional quality of meat—and what, if anything, those differences mean for the people who consume it. While modern livestock production and nutrition research often emphasize protein and fat, this work tests the idea that animals function as biological mediators, linking soil and plant conditions to human diets through the chemical composition of meat and milk. To evaluate this hypothesis, we tracked health-relevant plant compounds— phytonutrients—across the soil–plant–animal–human …

A Mixed-Methods Investigation Of Physician Compassion In Consultations For Chronic Primary Pain, Sarah Daehler

All Graduate Theses and Dissertations, Fall 2023 to Present

Chronic primary pain refers to physical pain that has no apparent organic cause, cannot be explained by another condition, and has associated psychological distress or functional impairment. Chronic primary pain is common and can significantly interfere with functioning, including occupational or social functioning. Research has shown that physicians struggle to treat this population, with many physicians reporting feeling unequipped and many patients feeling that their physicians are unhelpful and dismissive. Compassion may play a key role in improving these difficult interactions. The present study analyzed a sample of 99 participants with chronic pain and 100 healthy controls to learn more …

Effects Of Subsurface-Drip-Irrigation On Alfalfa Evapotranspiration In The Intermountain West, Namuna Dhakal

All Graduate Theses and Dissertations, Fall 2023 to Present

Alfalfa is one of Utah’s most important crops, but it is also the largest agricultural consumer of water. Because the state faces frequent droughts and growing pressure on limited water supplies, farmers and water managers are increasingly interested in irrigation systems that could reduce water use. Subsurface drip irrigation (SDI), which delivers water directly to plant roots through buried drip lines, has shown promising results in other regions, where it often reduces water consumption and increases yield. However, little research has evaluated SDI under Utah’s unique climate, soils, and high-elevation valleys.

This study compared an SDI system with a traditional …

Counterfactual Explanations For Time Series Through Local Pattern Mining And Generative Models, Omar Bahri

All Graduate Theses and Dissertations, Fall 2023 to Present

Machine learning systems increasingly make decisions that affect people’s lives, from medical diagnoses to loan approvals. When these systems analyze time series data—sequences of measurements collected over time, such as heart rhythms or sensor readings—users need to understand why a particular prediction was made. Counterfactual explanations address this need by answering “what-if” questions: what would need to change in the input for the system to make a different prediction? 

This dissertation develops methods for generating counterfactual explanations specifically designed for time series data. Time series often contain distinctive local patterns—short subsequences that distinguish one class from another. For example, a …

Longing For Home, Ryker Eggenberger

All Graduate Theses and Dissertations, Fall 2023 to Present

This thesis is a collection of creative nonfiction essays examining what it means to belong. Multiple factors of belonging are explored, including belonging in human relationships, belonging to oneself, and feeling a sense of belonging to a physical place. Each essay contains three cohesive narratives—called “strands”—which are woven together to form a single essay. These strands include the author’s personal experiences, site visits conducted by the author, and various research topics. The personal experiences explore the author’s relationship to belonging contextualized by his pure obsessive-compulsive disorder. The site visits recount the author’s experiences in natural and community-oriented places. The research …

A Survey On Digital Reading Materials And Personal Study Of Christian Religious Texts, Teancum Price

All Graduate Theses and Dissertations, Fall 2023 to Present

Religion, including reading from religious texts such as scriptures, are a part of the daily lives of many people. Modern technology has influenced the way that this religious reading takes place, but its effects have not yet been studied. Existing research of the effects of technology on reading focus on topics such as reading comprehension, but the study of religious texts is often focused on achieving a religious experience, so the existing research does not capture the whole scope of these changes. In our study, we surveyed two universities (Utah State University and Abilene Christian University) to ask individuals how …

Numerical Investigation On Lightning Survivability And Residual Strength Of Scarf-Patched And Z-Pinned Cfrp Composites, Logan Hales

All Graduate Theses and Dissertations, Fall 2023 to Present

Carbon fiber reinforced polymer (CFRP) composites are critical in aerospace applications yet remain vulnerable to lightning strikes due to orthotropic electrical conductivity and poor thermal resistance. Over the past decades, lightning-strike damage in pristine CFRP has been extensively investigated. However, the response of damaged and subsequently repaired laminates remains poorly understood, raising concerns about the structural integrity of repaired aircraft. This study aims to develop a sequentially coupled thermo-structural modeling framework to quantify how two common composite repair strategies (scarf patching and z-pinning), along with patch size, pin material, and configuration, influence lightning-induced damage and the residual flexural strength of …

The Spiritual Crisis In American Higher Education, Varun Soni

eJournal of Public Affairs

Editor’s note. The following is transcribed from a presentation by Varun Soni during the 2024 Public Affairs Conference at Missouri State University.

Accessibility On Campus: How Universal Design Can Make A Difference, Samantha Wittenberg

Honors Projects

This research is meant to showcase how survey those who self-identify as having a disability so see how feedback they provide can help guide changes to make to the Maurer Center on Bowling Green State University’s campus. By utilizing principles found in Universal Design, much of the feedback was able to be applied. Much of what was found are small modifications to help with general accessibility such as visualization to help with navigation.

Odor Vs. Direction Prioritization In Shelter Navigation By The Whip Spider Phrynus Marginemaculatus, Aiden Barno, Daniel D. Wiegmann, Verner Peter Bingman, Sidney Tyler Ley

Honors Projects

Arthropod navigation is known to rely on a variety of multisensory strategies, yet the prioritization of these cues in whip spiders remains poorly understood. This study examined whether Phrynus marginemaculatus prioritizes olfactory cues or idioethic directional cues when the two cues directly conflict with one another. Twelve subjects were trained to associate a shelter with both a specific odor (geraniol or 1‑hexanol) and a consistent directional movement (left or right) from the release site. In a subsequent test trial, odor and direction were dissociated, and subjects’ time spent in front of each shelter was used to determine an association index …

Comparative Fatigue Analysis Of Cf-Pla Metamaterial Bone Plates For Orthopaedic Fixation, Ani Daniel, Hamed Bakhtiari, Barun K. Das, Muhammad Aamir, Majid Tolouei-Rad

Research outputs 2022 to 2026

Bone plates are widely used in orthopaedic surgery to stabilise fractured bones and support healing following traumatic injuries or osteotomies. However, conventional metallic bone plates suffer from stress shielding and stiffness mismatch with bone, which can hinder optimal healing. Additive manufacturing enables the incorporation of novel metamaterial architectures into polymer-based implants to enhance mechanical properties. The fatigue behaviour of these implants during the healing period is critical to ensuring their structural integrity and long-term performance. In this study, the compressive fatigue performance of fused deposition modelling (FDM)-printed carbon fibre-reinforced polylactic acid (CF-PLA) bone plates were investigated. Four metamaterial structures—tetrachiral, re-entrant, …

May 2026, Office Of Research

Research Update

No abstract provided.

A Generative Ai Method For Minority Class Handling In Anomaly Detection With Drift And Explainability Analysis, Kelvin J. Mwiga, Mussa A. Dida, Ahmad Mohsin, Iqbal H. Sarker

Research outputs 2022 to 2026

Artificial Intelligence, particularly machine learning (ML) algorithms, plays a crucial role in detecting cyberattacks, including anomalies and intrusions. However, machine learning models trained on imbalanced cybersecurity datasets often struggle to accurately detect minority data instances and potential threats, thereby weakening overall system security. Despite extensive research, a persistent challenge is the inadequate explanation for model predictions concerning minority data classes. This study aims to address these limitations by developing a generative AI-based approach to manage minority classes in anomaly detection, incorporating concept drift handling and explainability analysis. We introduce an over-sampling technique, CGGReaT, designed to enhance the presence of minority …

Prevention Of Dementia Using Mobile Phone Applications (Prodemos) – A Health-Economic Cost-Utility Analysis In People Aged 55–75 Years With Low Socio-Economic Status, Ron Handels, Marieke Hoevenaar-Blom, Manshu Song, Carol Brayne, Eric Moll Van Charante, Fiona E. Matthews, Junfang Xu, Linus Jönsson, Nicola Coley, Rachael Brooks, Xuening Jian, Tingting Qin, Youxin Wang, Wei Wang, Edo Richard, Anders Wimo

Research outputs 2022 to 2026

Introduction We aimed to explore the potential incremental cost-effectiveness of the PRODEMOS coach-supported mobile health intervention for primary prevention of dementia versus standard of care provided to people aged 55–75 years with low socio-economic status (SES) in the United Kingdom (UK), and any SES in China. Methods 12–18-month PRODEMOS trial (ISRCTN15986016) efficacy outcomes on hypertension, obesity, hypercholesterolemia, physical inactivity and smoking were extrapolated to lifetime impact on dementia onset, myocardial infarction, stroke and death using a health-economic open-source simulation model. Results Simulated outcomes showed dementia cases were avoided (UK = -206 (-658 to 281), China = -140 (-456 to 205) …

A Survey Of Privacy-Preserving Federated Learning For Intrusion Detection Systems, Thomas Bunko, Michael N. Johnstone, Wencheng Yang, Ben A. Scott

Research outputs 2022 to 2026

Intrusion detection systems (IDS) monitor and detect malicious activity and unauthorized access that may compromise systems. Traditional IDS approaches send data to a central server for analysis, raising privacy concerns as data owners lose control over security. Federated Learning (FL) offers a privacy-preserving alternative by allowing local devices to process their data and generate models without sharing raw data. These local models are aggregated centrally to form a comprehensive model with performance comparable to centralized systems. This paper reviews FL-based IDS research, and is the first review paper to focus on privacy-preserving techniques collectively known as privacy-preserving Federated Learning (PPFL) …

Cities And Climate Change, Matthias Roth, Enric Aguilar, Winston T. L. Chow

Research Collection College of Integrative Studies

We are pleased to present this special virtual collection of articles, highlighting the multifaceted interactions between cities, local climates, and global anthropogenic climate change. Climate change and urbanisation are the two global megatrends that transform human life and, at the same time, directly impact each other. Urban areas have the highest density of human populations and experience altered atmospheric conditions due to anthropogenic modification of natural physical settings and extra emissions of air pollutants and trace gases. One of the most obvious examples of climate modification due to humans is the urban heat island (UHI). This phenomenon describes urban regions, …

Miserly Thinking: Understanding The Factors Shaping Public Support Towards Project Wolbachia In Singapore, Shirley S. Ho, Agnes S. F. Chuah, Fiona J. W. Goh, Nova Mengxia Huang, Mengxue Qu, Hye Kyung Kim, Sonny Rosenthal

Research Collection College of Integrative Studies

Project Wolbachia is a vector control method that releases male Wolbachia-infected Aedes mosquitoes to curb dengue transmission in Singapore. While research has primarily focused on its efficacy, few studies have examined public opinion. This study draws upon the cognitive miser model and scientific literacy model to examine the factors shaping public support for Project Wolbachia. A nationally representative door-to-door survey was conducted in Singapore (N = 1,000) using multi-stage stratified random sampling. Our findings revealed that while knowledge about Project Wolbachia explains public support, laypeople may often rely on cognitive shortcuts, such as value predispositions, media attention, and pre-existing perceptions, …

Public Pool Usage As Adaptation Against Urban Heat, Stefan Borsky, Eric Fesselmeyer

Research Collection College of Integrative Studies

This paper examines the relationship between urban heat and outdoor public pool usage. Using attendance data from all 53 outdoor public pools in New York City, we analyze nonlinear effects of heat on pool usage across socioeconomic contexts. Pool attendance rises sharply with heat, especially in low-income neighborhoods where alternative coping options are likely limited. We also find that public pools reduce heat-related emergency medical service calls. Our findings highlight the need for equitable investment in blue infrastructure to enhance urban climate resilience and demonstrate how this type of adaptive infrastructure can play a critical role in managing urban heat.

Walking The Thermal Landscape: Modeling Ecophysiological Responses Of Ecotherms To Marine Heatwaves, Andrew Robert Villeneuve

Doctoral Dissertations

Climate change is accelerating the frequency of extreme heat events in the world’s oceans. These heatwaves can pose critical challenges for marine organisms, especially ectotherm foundation species who have experienced increasingly frequent and severe mass mortality events (MMEs). Predicting when, where, and to what extent populations experience heat-induced mortality is a critical knowledge gap in our ability to anticipate, mitigate, and recover from catastrophic MMEs. Here, I test the application of physiological nonlinear thermal tolerance landscapes (TTLs) and dynamic tolerance algorithms to translate dynamic heatwave events into ectotherm mortality predictions. In chapter 2, I conducted a simulation exploration of how …

Dignity And The Free Press, Erin C. Carroll

Georgetown Law Faculty Publications and Other Works

As American institutions wither and die, those who believe in their importance must reflect and rebuild. One institution worthy of sustained attention is the free press. Divorced from government by design, the press can benefit from efforts to reinvigorate and reinvent it in ways that institutions more directly under the federal government’s thumb cannot. To best undertake these efforts, we need a richer understanding of why a free press is vital. Articulating the values that underlie the need for this institution is necessary not only to build the most robust free press, but also to best exercise our freedoms as …