Digital Commons Network^™

Contrastive Representation Learning For Highly Imbalanced Multivariate Time Series With Extreme Instance Strategy, Onur Vural

All Graduate Theses and Dissertations, Fall 2023 to Present

Time series data refers to a sequence of data points collected or recorded at regular time intervals. In many fields including space weather, healthcare, and finance, predicting events from such data is crucial because these predictions can help protect infrastructures, improve healthcare outcomes, and forecast financial trends. However, one challenge in working with time series data is the presence of rare events, which are often underrepresented in the data. This imbalance makes it difficult for traditional prediction methods to provide accurate results, as they tend to focus more on the more frequent events and overlook the rare ones. To tackle …

Second Nature: Nurturing Stewardship Through Ecological Presence, Tyler Hansen

All Graduate Theses and Dissertations, Fall 2023 to Present

Environmental education is essential for preparing students to address today’s ecological challenges. However, many educational approaches focus primarily on individual behavior (e.g., personally conserving water) rather than broader systemic solutions. This research highlights that gap through a review of environmental education and introduces a new framework for designing and evaluating environmental education. This framework aims to help students explore their relationship with the environment in locally relevant and place-based ways. By applying this framework in rural Hawaii, this study examines how students perceive their roles within ecological systems and compares different curricular approaches to see how students’ understanding evolves. This …

Lidar Scene Reconstruction Using Imagery And Frame Overlap From A Texel Camera, Blake Chamberlain

All Graduate Theses and Dissertations, Fall 2023 to Present

A small unmanned aerial vehicle (sUAV) can be used to reconstruct a large area of terrain by capturing 3D scans, consisting of LiDAR point clouds and an overlaid image, and combining the scans together. Forming a complete 3D scene using texel image data (fused LiDAR and digital image scans) from an entire flight can be computationally prohibitive on low-cost hardware, so combining registering scans is done using a streaming method which processes the scans in consecutive chunks. Depending on the flight pattern, matching points in the scene may be visible from scans which were not captured around the same time, …

Managing For Disturbance: Trade-Offs Associated With Population Resilience And Ecosystem Size, Ellie Wallace

All Graduate Theses and Dissertations, Fall 2023 to Present

Populations can recover from and withstand disturbance through characteristics such as reproduction and maintaining large abundances. While these traits are beneficial to native species conservation, they can simultaneously challenge effective invasive species management. Effective invasive species control requires sufficient efforts to overcome a population's ability to recover from disturbance, such as harvest. My dissertation aimed to address how the size of an invasive population and its ability to recover from disturbance impact a suite of invasive species control methods, including those that (1) target mainly larger and older individuals (i.e., mechanical removal), (2) target all sizes of individuals (i.e., targeted …

Irrigation Performance Connection To Water Quality In Big Creek, Sena Bildim

All Graduate Theses and Dissertations, Fall 2023 to Present

Due to new technologies and improved water management strategies, sprinkler irrigation systems are becoming more common in Utah and nearby areas. These systems are generally thought to be more efficient, but their effects on water quality are not well understood. This study focuses on the Big Creek watershed, which flows into Bear Lake—an area where water quality concerns are increasing.

The purpose of this research was to explore how different irrigation systems—sprinkler and surface—affect both water use and water quality. Field tests were conducted to measure how evenly water was applied and how efficient each system was. Water and soil …

Investigating Stability Of Cone-Derived Hypersonic Waverider Vehicles Via Design Space Exploration, Adam S. Weaver

All Graduate Theses and Dissertations, Fall 2023 to Present

It may come as no surprise that man-made objects flying at 5, 10, or even 25 the speed of sound (termed hypersonic) are difficult to design, inefficient in flight, and expensive to deploy. Most hypersonic vehicles are effectuated in ballistics, which simplify aerodynamic considerations owing to their fixed trajectory. However, maneuverable hypersonic vehicles can revolutionize commercial flight, national defense, and space travel. One candidate for such missions are waverider vehicles. Waverider vehicles cruise on a cushion of air generated by its own shock wave, essentially enjoying extra lift without any extra drag penalties (which are usually inherent to extra …

Increasing The Spatial Resolution Of Snow Hydrology Data And Augmenting Existing Hydrology Monitoring Networks Using Low-Cost Snow Sensing Stations, Braedon Dority

All Graduate Theses and Dissertations, Fall 2023 to Present

Snow is a crucial part of the water cycle, especially in mountainous regions where melting snow provides water for millions of people. However, accurately measuring how much water is stored in snow is challenging. Current monitoring networks, such as the snowpack telemetry (SNOTEL) network in the western United States, provide valuable data, but have gaps in coverage and are expensive to operate and expand. This research explores a more affordable way to improve snow measurements by designing and testing low-cost snow sensing stations. These stations use open-source datalogger and software technology along with research-grade sensors to measure important snow variables. …

Blind Construction Of A Party Check Matrix For Arbitrary Linear Block Codes, Aaron J. Womack

All Graduate Theses and Dissertations, Fall 2023 to Present

Communication systems are systems in which a transmitter sends data across a channel to a receiver. In any modern communication system, Forward Error Correction (FEC) is used to detect and correct errors that occur during transmission. As communication systems have developed over the years, many FEC algorithms have been proposed. Each FEC algorithm has parameters that can be selected based on the needs of the communication system. Typically, the transmitter and receiver are both aware of the FEC parameters, but in some cases the receiver may not know how the transmitter encoded its message. In this case, the receiver must …

Toward Whole-Person Fit Assessment: Integrating Interests, Values, Skills, Knowledge, And Personality Using The Occupational Information Network (O*Net), Zihan Liu, Kevin A. Hoff, Chu Chu, Frederick L. Oswald, James Rounds

Research Collection Lee Kong Chian School Of Business

Measuring person–occupation fit serves many important purposes, from helping young people explore majors and careers to helping jobseekers assess fit with available jobs. However, most existing fit measures are limited in that they focus on single individual difference domains without considering how fit may differ across multiple domains. For example, a jobseeker might be highly interested in a job, yet not possess the requisite skills or knowledge to perform the job well. The current research addresses this issue by evaluating an integrative set of person–occupation fit assessments that measure 88 fit dimensions across five domains: vocational interests, work values, knowledge, …

Culturally Responsive Trauma Informed Care: Understanding The Lived Experiences Of Black Young Adult Military Connected Dependents With The Military's Child And Adolescent Behavioral Health Service, Chenille Renee Johnson

Doctoral Dissertations and Projects

The purpose of this transcendental phenomenological study is to understand the lived experiences of Black young adult military-connected dependents and their involvement with the military’s child and adolescent behavioral health service while growing up in the military. This study is steered by resiliency and understanding of culturally competent and trauma-informed care. In this study participants will be chosen by utilizing criterion sampling which will allow participants to be selected based on specified criteria of identifying as Black, growing up in the military lifestyle, having a parent in the military while they were under the age of 18, and having encounters …

Researching Research Leaders: A Qualitative, Phenomenological, Transcendental Study Of University Institutional Official Relations With Stakeholders Using The Competing Values Framework, Sara Grano

Doctoral Dissertations and Projects

The purpose of this qualitative, phenomenological, transcendental exploratory study was to understand institutional officials’ (IO) lived relational leadership experiences with internal and external stakeholders with competing values in U.S. research universities. The competing values framework guided the study to investigate IOs’ lived experiences when relating to diverse stakeholders in research universities. The central research question asked was what are the experiences of IOs in research universities when practicing relational leadership with diverse stakeholders with competing values? Ten participants were recruited for this qualitative study using the purposeful sampling and then snowball method of recruiting. The elite participants had experience serving …

A Novel Macroscale Model For Deformation Twinning In Magnesium Alloys, Daniel S. Kenney

Doctoral Dissertations and Projects

The characterization of deformation twinning in magnesium alloys is evaluated with macroscale modeling to predict material behavior and microstructure evolution with Internal State Variables (ISVs). Twinning in magnesium presents key challenges with constitutive modeling at the macroscale where the large number of grains with individual slip/twin must be generalized. This research proposes the Kearns factor (Kearns, 1965) as a method for quantifying the crystallographic texture associated with twinning and shows how the change in Kearns factors is associated with tension-compression asymmetry, anisotropic yielding and hardening, and anisotropic lateral strains. The material model developed in this work proposes a second rank …

Climate Prediction As An Adaptive Force-Multiplier: Reasons For Hope In A Rapidly Changing World, Matthew D. Laplante

All Graduate Theses and Dissertations, Fall 2023 to Present

It's not unreasonable to feel pessimistic about our future under climate change. But "believing the science" doesn't require you to accept that we are headed toward apocalypse. It is true that human-caused climate change is real, it is underway, and our societies face many increased risks because of it. But that's just part of what climate science tells us about our future world. This same field is responsible for the recent and rapid development of tools and techniques that permit the identification of patterns in our oceans and atmosphere that will aid us in making increasingly accurate predictions about climate—the …

Game Changing Education: Empowering High School Stem Teachers To Teach Engineering Using Games, Leslie Brown

All Graduate Theses and Dissertations, Fall 2023 to Present

In response to the Next Generation Science Standards (NGSS) released in 2013, there was a nationwide push for K-12 schools to include engineering concepts in science classrooms. However, there is an overall lack of teacher preparedness and training towards engineering topics as shown by common engineering misconceptions. To improve this issue, I initiated a qualitative study to describe the strategies and attitudes of high school science, technology, engineering, and mathematics (STEM) teachers that have implemented game-based, engineering activities into their classroom. Game-based learning is an instructional framework that utilizes game-like elements in a classroom and was used in this study …

Water Use By Irrigated Turfgrass And Connections To Climate And Biophysical Processes, Karem Meza

All Graduate Theses and Dissertations, Fall 2023 to Present

Urbanization and limited water supply and storage result in imbalanced urban water budgets. Quantification of water use becomes important in urban landscapes because urban turfgrass requires a significant amount of water and competes with other urban requirements. Evapotranspiration (ET) plays a crucial role in determining irrigation needs. Credible measurements and spatial estimates of urban turfgrass ET are needed for urban water management. However, these have not been addressed in urban landscapes in arid and semiarid regions. Despite estimating spatial urban turfgrass ET, turfgrass quality linked to ET has not been widely evaluated. Due to different environmental conditions, the driving forces …

Novel Horticultural Approaches For Reduced Gravity And Controlled Environment Agriculture, Sarah Elizabeth Schreck

All Graduate Theses and Dissertations, Fall 2023 to Present

On July 16, 1969, Apollo 11 achieved the first successful moon landing, marking a significant milestone in human space exploration. This historic moment effectively ended the space race between the United States and the Soviet Union, and since then, countries around the world have continued to advance their space programs. While the space race has evolved, the next major challenge lies in sending humans to Mars—a journey that could take 6 to 9 months each way, presenting numerous challenges, including the critical issue of nutritional sustainment for the crew.

This thesis addresses key aspects of a broader effort to support …

Determining The Structure And Function Of Type Iv-A Anti-Crisprs, Olivine Redman

All Graduate Theses and Dissertations, Fall 2023 to Present

Bacteria face a constant existential threat in the form of infection by viruses along with other forms of mobile genetic elements, such as bacteriophage and transposable elements. To survive, bacteria and other prokaryotes have evolved various immune systems to evade these would-be invaders. One such immune system is the CRISPR-Cas system, an adaptive immune system able to record the genetic signature of invading viruses in order to recognize and destroy them should they be encountered again in the future. In this thesis I present data that sheds light on the mechanism of one particular subtype of CRISPR-Cas systems: the type …

Here Be Dragons: The Barriers Of Korean American Female Leaders In Secondary Schools, Joyce A. Kim

Dissertations

In K-12 public schools, there is a shortage of Korean American women in school leadership roles at the secondary level. This phenomenological study explores the contributing factors to this lack of representation, how institutions can recruit and retain Korean American female leaders, and how school systems can better support them. This study examines the leadership experiences of eight Korean American women. It utilizes the socio-political contexts of Korean patriarchy, the Model Minority Myth, and mentorship to help frame the problem of existing barriers. This study explores the following questions: What factors hinder Korean American women in school leadership? What structural …

Applications Of Microscopy In Neuroscience: A Review Of Imaging And Analysis Techniques, Natasha Mayorga

Harriet L Wilkes Honors College Theses 2020 - Present

Advancements in microscopy and computational analysis have revolutionized the way neuroscientists study the brain at the molecular and cellular levels. In neuroscience research, microscopy techniques have evolved to enable detailed molecular labeling and visualization, generating insight into neuronal morphology and operational dynamics. These highly capable imaging techniques are essential for investigating how neurons interact and form networks, as well as how various molecular markers behave in response to stimuli or during disease processes. Moving beyond qualitative insight, the development of computational analysis methods for microscopy has enabled scientists to draw quantifiable conclusions from their image data. In the context of …

Whole-Brain Mapping Of Neuronal Interleukin-1 Tpe 1 Receptor In The Mouse Brain, Gabriella Maxey

Harriet L Wilkes Honors College Theses 2020 - Present

The pro-inflammatory cytokine interleukin-1 (IL-1) has diverse functions within the brain such as facilitating memory and regulating sleep, yet is linked to various psychopathological disorders including depression, anxiety, and PTSD. The IL-1 type 1 receptor (IL-1R1) is the sole receptor of IL-1 and is predominantly expressed on non-neuronal cell types in the brain; however, the existence of IL-1R1 on neurons has been debated due to inconsistent mapping attempts. Here, we generated a specific atlas of neuronal IL-1R1 (nIL-1R1) distribution throughout the brain in global and glutamatergic-neuron-specific IL-1R1 reporter mice. Using immunohistochemical labeling and the QUINT workflow, we show nIL-1R1 is …

The Effects Of Micromanagement Behavior On Employee Turnover Intention In Hybrid And Remote Work Environments, Christopher S. Mendoza

Doctoral Dissertations and Projects

The existing literature extensively documents the prevalence of micromanagement in traditional organizational structures. However, there is a notable gap in research regarding its impact on daily operations within non-traditional work environments, such as hybrid and remote settings. The purpose of this study was to examine the relationship between micromanagement and turnover intention in these evolving workplace models. A sample of 25 participants who had experienced micromanagement in hybrid and remote work environments was selected for this study, with no additional selection criteria imposed. Findings indicated that 24 participants experienced declines in morale, directly contributing to increased turnover intention. Furthermore, financial …

Nursing Faculty Experiences Of Teaching Dementia Care: A Transcendental Phenomenological Study, Jeannie Simpson

Doctoral Dissertations and Projects

The purpose of this phenomenological study was to explore the experiences of nursing faculty teaching dementia care to nursing students in Texas. The theory guiding this study was Kolb’s experiential learning theory as it offers a structured framework for examining how experiences lead to learning. This theory also introduced the concept of the Experiential Educator profile, specifically delineating the role of educators in facilitating knowledge acquisition (Kolb, 2014). This study bridged the gap in existing literature regarding the experiences of nursing faculty in teaching dementia care to nursing students and provided a comprehensive look at dementia education in nursing schools. …

Cytotoxicity And Surface Area Analysis Of Silver Nanoparticles Encapsulated In Liposomes, Pvp, And Bsa: Effects On Caco-2 And U251 Cells, Rita Byrne, Vinayak Sharma, Bilal Javed, Muhammad Zia Ul Haq, Ahmed Barhoum, Furong Tian

Research Outputs: 2025-Present

No abstract provided.

Credentials, Audrey Ickes

A Midwestern Review: A Magazine of the Arts and Issues at DePauw University

Audrey Ickes is a Senior English-Writing major and History and Communications double minor. Flip to page 31 to see the rest of her credentials or page 23 to find out why she writes whether she likes to or not.

The Importance Of Optimising Performance Within Retrofit Programmes, Seamus Harrington, Mark Mulville

Conference Papers

Ireland’s Climate Action Plan details a roadmap of measures that seek to achieve net-zero target carbon emissions by 2050. In this context, Ireland has introduced the National Retrofitting Scheme (NRS) which has set a goal of retrofitting c. 30% of existing dwellings to a Building Energy Rating (BER) of B2 by 2030. The route to attaining this rating is dependent on the current specification and configuration of each individual property, therefore it can promote the adoption of retrofit techniques that achieve the required BER rating as opposed to focussing on optimisation of dwelling performance. The pre-cursor to the NRS was …

Comprehensive Global Data Set Of Uniformly Processed Shear-Wave Splitting Measurements, Jonathan Wolf, Thorsten W. Becker, Edward Garnero, Kelly H. Liu, John D. West

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Seismic anisotropy can inform us about convective flow in the mantle. Shear waves traveling through azimuthally anisotropic regions split into fast and slow pulses, and measuring the resulting shear-wave splitting provides some of the most direct insights into Earth's interior dynamics. Shear-wave splitting is a constraint for path-averaged azimuthal anisotropy and is often studied regionally. Global compilations of these measurements also exist. Such compilations include measurements obtained using different data processing methodologies (e.g., filtering), which do not necessarily yield identical results, and reproducing a number of studies can be challenging given that not all provide the required information, for example, …

Felt Obligation, Knowledge Sharing And Innovation Performance: The Role Of Team Performance Goal Orientation, Zenan Wen

Dissertations and Theses Collection (Open Access)

In today’s dynamic work environment, individual innovation is vital for organizational success. While knowledge sharing is a recognized driver of innovation, less is known about the internal motivational forces that compel employees to share knowledge. Drawing on the role identity theory, this research examines how felt obligation—a normative motivation, whereby individuals, based on their perceived role identities, believe they should care about organizational goals and contribute to them—encourages knowledge sharing and subsequently enhances innovation performance. Furthermore, I theorize that this relationship is strengthened in teams with higher performance goal orientation (TPGO), where norms and expectations regarding performance excellence amplify the …

Optimizing Fulfillment Operations For Online Retailing, Yujie Sun

Dissertations and Theses Collection (Open Access)

This thesis investigates order fulfillment operations for online retailing. Order fulfillment encompasses the entire process of receiving, processing, and delivering customer orders. The rapid growth of e-commerce has heightened the demand for efficient fulfillment operations. This thesis explores strategies for optimizing order fulfillment in three scenarios. The first scenario studies cellular bucket brigade, a method for coordinating workers in an assembly line or order-picking environment to improve workflow efficiency. The second scenario investigates zone picking, serial bucket brigades and cellular bucket brigades with hand-off times. The third scenario focuses on autonomous robotic systems within package sortation centers.

Chapter 2 investigates …

Research On The Structural Antecedents And Contingencies Of Fluid Team Performance, Xiaodong Zhang

Dissertations and Theses Collection (Open Access)

In response to rapidly evolving markets and the pursuit of organizational agility, fluid teams—characterized by dynamic membership and flexible structures—have become prevalent as a key organizational form for addressing complex tasks and uncertainty. However, inherent challenges such as frequent member mobility and multiple project participation pose significant management difficulties and performance risks, including project delays and cost overruns, particularly evident in China's fintech sector. While existing research has begun examining fluid teams, systematic investigation into their structural antecedents and performance mechanisms—especially their contingencies across contexts—remains limited.

The study examines structural antecedents and contingencies of fluid team performance through a mixed-methods …

Tailoring Transformer-Based Deep Learning For Code Generation And Translation, Imam Nur Bani Yusuf

Dissertations and Theses Collection (Open Access)

Software is increasingly pervasive in modern society, making the effective translation of human intent into code essential. Novice programmers often struggle with domain-specific code due to limited background knowledge, while experienced developers face challenges in maintaining evolving largescale codebases. Traditional pattern-based approaches address these issues, but such approaches are task-specific and require significant adaptation for different tasks. Transformer-based models offer a more flexible alternative, as the same architecture can be tailored for diverse programming tasks.

This dissertation investigates how Transformer-based models can be customized for various code generation and translation tasks. First, it introduces Transformer-based approaches that assist end-users with …