Digital Commons Network^™

Effects Of Novel Dopamine D4 Receptor-Targeted Compounds On Locomotor Activity And Anxiety-Like Behavior In Male And Female Sprague Dawley Rats, Samantha Alyse Walkow, Noah A. Ivak, Daniel Chandler, John Tkaczynski, Thomas M. Keck, Comfort A. Boateng, Eleni Papadopoulos, Barry D. Waterhouse, Rachel L. Navarra

Rowan-Virtua Research Day

The consequences of modulating subtypes of G protein coupled dopamine receptors are broadly studied for their role in decision making behavior, specifically in situations involving uncertain risk and reward. The actions of dopamine D4 receptors (D4Rs) on these complex processes are the least understood, particularly due to a lack of available compounds with suitable selectivity for D4Rs. Further, current research often fails to evaluate how modulating specific dopamine receptor subtypes may affect locomotor activity and anxiety-like behavior as confounding factors prior to assessing their function in behavioral assays of higher order decision making. The goal of the current study was …

Usage Of Natural Language Processing And Deep-Learning Techniques On Thematic Apperception Tests To Predict Big Five Personality Traits, Blayten Jones

Electrical Engineering and Computer Science Undergraduate Honors Theses

The usage of personality as a method of behavioral prediction and outcomes of success has grown considerably over the last few decades. This project explores predicting user personality profiles via the Big Five personality index through the integration of advanced natural language processing techniques as well as neural networks. Using a dataset provided by Dr. James W. Pennebaker, participants analyze an image—formally referred to as a thematic apperception test—and write a thorough paragraph describing the details. This free-form text, along with their personality test results, is captured in a structured dataset. Many deep-learning and machine learning models have been used …

A Novel Approach To Attention-Based Models In Image Completion: Weighted Spatial-Attention Using Radial Distance, Tyler D. Kuper

Electrical Engineering and Computer Science Undergraduate Honors Theses

Humans infer missing visual information by focusing on spatial relationships in the context of their surroundings. Machine learning aims to replicate this skill through image completion, a fundamental task in current computer vision research. While advances in self-attention layers have recently enhanced generative machine learning models for text, these mechanisms still currently lack the capability to handle sparse image completion efficiently. We introduce a distance-based attention mechanism that uses radial-based weights to efficiently reconstruct an image. We compare this attention mechanism with self-attention and a fully connected network on an image completion task using the MNIST dataset. Our results show …

Fairness In Recommender Systems: Balancing Bias In Academic Paper Selection, Zachary Bergin

Electrical Engineering and Computer Science Undergraduate Honors Theses

Bias in academic paper selection remains a consistent issue, even within processes designed to promote fairness, such as double-blind peer review, bias stays persistent. In this paper we investigate demographic bias while particularly focusing on racial bias in the process of selecting academic papers and explore the impact of fairness aware recommender systems on the demographic parity. To build an effective system our focus is on the Special Interest Group on Computer Human Interaction (SIGCHI) a pillar in the community, we develop a neural network-based recommender system that uses real demographic data collected by other systems withing the context of …

Ddos Detection And Mitigation Using Multiple Programmable Switches For Industrial Network Security, Seth Howard

Electrical Engineering and Computer Science Undergraduate Honors Theses

Given the exponential growth in our infrastructure’s reliance on digital systems and large interconnected networks to operate, cybersecurity efforts have not been able to keep up with vulnerabilities attackers can exploit. Specifically, their reliance on industrial network protocols in Supervisory Control and Data Acquisition (SCADA) systems. These protocols are great in terms of the functionality they provide, but are severely lacking in terms of security, leaving the networks vulnerable to cyberattacks. One of the more common protocols, Distributed Network Protocol 3 (DNP3), is particularly vulnerable to Denial-of-Service type attacks. In this work we explore the use of P4-based programmable networks …

Synthetic Dataset Generator To Assist In Training Of Multilayer Perceptron Based Neural Network, Megan Leach

Electrical Engineering and Computer Science Undergraduate Honors Theses

Synthetic dataset generation attempts to solve the issue of needing large datasets to train models and observe behaviors in both a cost and time effective way. This project aims to highlight the value of synthetic data creation and how it was useful when training a neural network model by creating a synthetic dataset generator for a specific model in order to evaluate its behavior in difference scenarios. The model that was used in this project was created to select high-quality papers while maximizing the diversity of authors based on race, gender, and country characteristics, essentially mimicking a review process. The …

Leveraging P4 Programmable Switches For Resilient Operation And Design Of Phasor Measurement Unit Networks, Eva Casto

Electrical Engineering and Computer Science Undergraduate Honors Theses

The power grid utilizes a device called the phasor measurement unit (PMU), allowing power system administrators to remotely monitor and manage the state of the grid in Wide Area Monitoring Systems (WAMS). The advantages of PMUs – such as fine-grained, time-synchronized measurements and efficient, decentralized monitoring – are what make them key devices in the power grid. However, PMU technology also comes with new threats of the digital age, like malfunctions and cyberattacks, which can result in missing and faulty measurements that compromise power grid observability. P4 programmable networks can be used to detect faulty PMU data in a decentralized, …

Automation Programming For Uhv-Cvd Growth Of Group Iv Materials, William Hay

Electrical Engineering and Computer Science Undergraduate Honors Theses

The automation programming of a UHV-CVD reactor for group IV materials was performed. The reactor was programmed to perform all the necessary functions for a Germanium (Ge) growth with little response from the user. The overall goal was to fix an Argon purge program to clean out the process chamber of gases and create an Excel output program to ease any work on the user. There were also general fixes and address name changes that occurred throughout the program. Then, a one step and two step growth of a Ge material was formed in a UHV-CVD reaction for analysis. Germanium …

Defect Characterization Of Sic Schottky Barrier Diode Using Deep Level Transient Spectroscopy, Zachary I. Mccoy

Electrical Engineering and Computer Science Undergraduate Honors Theses

The aim of this project is to use deep level transient spectroscopy (DLTS) to energetically evaluate defects by using the carrier concentration dependence on temperature and where these carriers may experience deviation from standard predictions. These defects become apparent through multiple C-V measurements that are swept through a temperature range. By analyzing trends with respect to temperature, the defects can be energetically “located,” and thus identified. This identification can help streamline semiconductor material manufacturing/growth because DLTS identifies potential defect causes by providing data to characterize semiconductor mid-band defects. DLTS can assess nearly all parameters associated with traps/defects including density, thermal …

Design, Simulation, And Testing Of Planar Transformer For Smart Green Power Node (Sgpn) Isolation Using Ansys, Brooke Scott

Electrical Engineering and Computer Science Undergraduate Honors Theses

The goal of this project was to design and simulate a small, high-frequency, planar, ferrite-core transformer which can be used in a variety of applications, the most relevant of which is photovoltaic (PV) converter systems, which often require bulky transformers to function properly. The current research involved several processes: (1) Understanding and designing a tutorial for the use of Ansys software to aid in the efficient development and modeling of transformers, (2) designing and simulating a planar transformer in Ansys to be used in a solar converter, specifically the Smart Green Power Node (SGPN), and (3) testing the planar transformer …

Investigation And Characterization Of Silicon Carbide Power Mosfets, Vincent Hassman

Electrical Engineering and Computer Science Undergraduate Honors Theses

As engineers constantly seek to make solar power systems smaller, cheaper, and more efficient, technological enhancements in the electronics that run them are required. One of the most fundamental electronic components of any solar system is the inverter, which takes DC current from the solar cell and turns it into AC current that is supported by the grid. This is done with metal oxide semiconductor field effect transistors (MOSFETs). Through more advanced MOSFET technology, inverters can switch at a higher frequency, increasing efficiency and reducing size and cost.

MOSFET performance can be enhanced by swapping the traditional silicon substrate with …

The Effectiveness Of Science Instruction With Digital Simulations In Elementary Settings For Quantitative Sensemaking, Joelle Prate

Education (PhD) Dissertations

The importance of elementary science education is well-documented, but many challenges persist, including a lack of time, space, and materials needed for students to have hands-on lab experiences. As a result, many students in California are falling behind, with less than one-third of all fifth graders meeting or exceeding standards in standardized test reporting. This study sought to employ single-case design methods and combine the best practices in sensemaking approaches with virtual simulations to determine whether these practices would provide effective intervention and improve students’ blended math and science sensemaking abilities at the qualitative and quantitative levels, as well as …

The Next Generation Of Free Expression Scholarship: A Very Short Manifesto (In Memory Of Fred Schauer), Mark Tushnet

William & Mary Bill of Rights Journal

This Manifesto begins with a discussion of the accomplishments of the prior generation of free expression scholarship. The core of the Manifesto starts with a description of the idea of epistemic authority and draws upon Leiter’s analysis to show its importance in free expression theory. It emphasizes, with Leiter, that epistemic authority is relational: between and among epistemic authorities, and between such authorities and “ordinary” citizens (that is, those who aren’t near the core of an epistemic community that, as a collective, defines the community’s core and boundaries).

That discussion is followed by a description of challenges to the idea …

Resilience In The Face Of Climate Change: Exploring The Ecophysiology, Adaptation, And Conservation Of Mytilus Edulis In The Gulf Of Maine, Mackenzie J. Arnott, Justin Baumann

Standard Theses

The Gulf of Maine is among the fastest-warming marine environments globally, facing rapid increases in temperature and ocean acidification. These stressors jeopardize the Blue Mussel, Mytilus edulis, a foundational species vital for maintaining biodiversity, water quality, and coastal economies. This research investigates the resilience and vulnerability of M. edulis under combined thermal and acidification stressors, with a focus on thresholds of physiological breakdown. Key findings reveal critical thermal limits (>25°C) and pH thresholds (<7.3) beyond which metabolic, immune, and shell formation processes deteriorate. Conservation strategies such as selective breeding, habitat protection, and adaptive management are essential to ensure the survival of this keystone species in a changing climate.

Navigating The Tides Of Change: Girls’ Experiences In Scouts Bsa, Alexandra Rush, Olivia Kochis, Beth Belanger, Jennifer Brown Urban, Miriam R. Linver

Journal of Youth Development

On February 1, 2019, Boy Scouts of America officially accepted girls into its signature program (ages 11–18) and changed its name to Scouts BSA. This historic shift provided a novel opportunity for researchers to investigate the experiences of some of the first 13 girls to enter this traditionally all-boy space and examine how participation influenced sense of self and purpose. A qualitative phenomenological approach was adopted to explore girls’ experiences and perceptions and meanings they constructed, using secondary data consisting of 38 transcribed interviews from all 13 girls. Girls ranged in age from 12–18 years old (M = 13.72, SD …

Modeling Buprenorphine Treatment Discontinuation In Opioid Use Disorder – Predictors And Disparities Using Statistical And Machine Learning Approaches, Wanru Guo

Dissertations and Theses (Open Access)

Background: Opioid Use Disorder (OUD) remains a major public health crisis in the U.S., and while buprenorphine is an effective treatment, early discontinuation undermines its impact. Existing statistical and machine learning (ML) models often overlook key social and healthcare-related predictors and fail to capture subgroup disparities, limiting their utility for equitable intervention design. This study addresses these gaps using a nationwide, longitudinal dataset and a two-stage modeling approach focused on disparity identification. Methods: We analyzed buprenorphine treatment episodes for OUD from the IQVIA Pharmetrics Plus database (2006–2023), defining discontinuation as episodes lasting under 180 days. A Cox proportional hazards model …

3d Bioprinting Of Hydrogel Scaffold Skin Equivalents For Cosmetic And Drug Testing, Allison Reno

All Dissertations

Tissue engineering scaffolds are a crucial element of generating larger 3D tissue equivalents for modeling and clinical grafting. Currently, much of scaffold technology has not been significantly updated since the introduction of manually pipetted hydrogels and electrospun fiber scaffolds. Both of these approaches have their advantages and disadvantages, but neither utilize emerging biofabrication techniques such as advanced 3D bioprinting and plotting. In addition to more precision in the outer geometries of the scaffold, the use of bioprinting also introduces the ability to shape hydrogels into very intricate porous inner patterns within the outer geometries. This allows for the design of …

Statistical Designs For Learning User Preference And Experience, William S. Fisher

All Dissertations

For any organization, designing a new product or planning the features of a new service is a complex decision-making process which depends on understanding its users' preferences and the experiences they have with prototypes of the new product or service. Design of experiments (DOE) offers a framework to aid in the modeling and collection of data to learn user preferences and experiences to facilitate this decision-making process. Questions such as ``which of our newly proposed products is preferred most by our customers" and ``which version of our new service results in the highest monthly revenue" can be readily addressed by …

Hickory Street Square Revitalization, Spencer Knight, Grace Dungan, Tim Kula, Evan Lauritsen, Lindsey Mennenga

Honors Program: Senior Projects (Public)

The Hickory Street Square Revitalization Project seeks to transform a central public space in Sidney, Nebraska into a dynamic, community-oriented area that supports local events, economic activity, and cultural heritage. The project addresses six core objectives: 1) convertible street design, 2) parking lot reconfiguration, 3) public amenities, 4) event flexibility, 5) lighting and signage, and 6) old electric plant renovation. A conceptual design was developed by the design team (S.T.E.E.L. Sentinel Solutions) by synthesizing the most effective features of three preliminary alternatives, shaped further through community feedback and evolving project constraints. The final project design minimizes disruption to existing activity …

Monthly Salary Report, May 2025, Eastern Michigan University

EMU Salary Reports

No abstract provided.

Novel Chloroviruses With Unique Glycans On Their Major Capsid Proteins, Cayden J. Homolka

Honors Program: Senior Projects (Public)

Chloroviruses, of the family Phycodnaviridae, are large, dsDNA viruses with a genome of 290 to 410 kb. These virus genomes are so large that they are classified as “giant viruses”. Within this genome, up to 16 tRNAs and 330 to 450 proteins are encoded. Among the massive amounts of genes and proteins are unique carbohydrate synthesis/metabolism genes, which are responsible for the glycosylation of chloroviruses major capsid proteins. In most viruses, these proteins are glycosylated by the host enzymes located in the endoplasmic reticulum. Instead, Chloroviruses encode their own glycosylation machinery; essentially decorating themselves. Furthermore, these chlorovirus glycans are unlike …

Improvement Of Hanford Waste Vitrification Algorithms With Machine Learning, Uncertainty Quantification, And Gradient-Based Optimization, Lagrande L. Gunnell

Theses and Dissertations

Over 200 million liters of nuclear waste is stored in tank farms in Hanford, Washington, USA. An ongoing effort to immobilize non-solid nuclear waste is through waste vitrification, where waste is mixed and melted with glass-forming chemicals (GFCs) to form a waste glass. Algorithms to determine the ideal mixing recipes are formalized as constrained optimization problems to maximize waste loading in the glass product, with constraints on several properties of the glass melt and final product. These properties are on the glass melt, such as viscosity, electrical conductivity, and corrosion rates, as well as the final glass product, such as …

I-630: Divisive Connection, Jacob A. Key

Architecture Undergraduate Honors Theses

The United States’ highway infrastructure provides ease of access to and through cities and towns across the nation. For many of us, this system of interconnected infrastructure is little more than a means of wayfinding with easy access via plentiful exits to just about anywhere along their footprint. This study peels back this veneer of excess and access to relay an uncomfortable truth: these highways have been and continue to be weapons of segregation and White Supremacy, afflicting millions nationwide with mental and physical health issues, restricted mobility, and further restricted access to social mobility in a nation already rife …

Stories From El Dorado: An Exploration Of Art, Design, And Community Belonging, Madison Harper

Architecture Undergraduate Honors Theses

This project examines the history and cultural impact of the downtown arts district in El Dorado, Arkansas through a series of interviews with local community members conducted in February 2025. El Dorado is a city in Southwest Arkansas popularly known as “Arkansas’ first boomtown.” Since the discovery of oil in the area in 1921, El Dorado saw a rapid rise in population from 3,000 residents to nearly 30,000 residents. This rise in population brought in a desire for more entertainment, which led to the development of cultural institutions including the “new” Rialto Theater built in 1929 on top of the …

Evaluating Ai As A Design Tool In Architectural Workflows: Exploring Its Effectiveness In Addressing Design Problems And Integrating Into Studio Processes, Seth S. Cutlip

Architecture Undergraduate Honors Theses

This paper examines the integration of AI imaging tools into traditional analog workflows within architecture studios. This looks specifically at the early conceptual design phase and examines, through a research through design approach, how AI imaging tools like Comfyui and Krita can support ideation, material exploration, and spatial composition. This approach will be remaking design exercises from a prior architectural studio, the study critically evaluates the effectiveness of AI tools in addressing design problems, enhancing workflow efficiency, and supporting creative agency. The findings show both the generative potential and the limitations of these AI imaging tools. This emphasizes the need …

John Leonard Jordan (Course 13), Nick Jordan

Documents

No abstract provided.

One-To-One Chromebook Best Practices In Secondary-Level English Language Arts Classrooms, Jonathan M. Cook

All-Inclusive List of Electronic Theses and Dissertations

This hermeneutic phenomenological study aims to examine the lived experiences of secondary-level English Language Arts (ELA) teachers to better understand what, if any, best practices exist for the use of one-to-one Chromebooks in these teachers’ classrooms. Seventeen participants agreed to be interviewed for this study. All participants had at least two years of teaching experience and at least two years of Chromebook experience. Interviews took place over Zoom and were digitally recorded. Five common themes emerged from these collected data: 1) the importance of training; 2) the frequently problematic oversight from administrators; 3) the overall lack of innovation in classroom …

The Inequitable Impacts Of Sea Level Rise: How East Palo Alto Serves As Both A Warning And Beacon Of Hope For Coastal Communities, Justin Capone

UC Law Environmental Journal

As sea level rise and coastal flooding continue to threaten communities globally, the impacts on shoreline residents will not be distributed equally. Projections of physical damage do not account for other environmental and socioeconomic contexts that overlap to disproportionately burden the most vulnerable communities. East Palo Alto, a city that regularly suffers from destructive flooding, is at high monetary and social risk from sea level rise due to a history of racially discriminatory practices that contributed to residents’ current socioeconomic disadvantage. This inequity poses a distinct environmental justice issue, requiring adaptation strategies that place the city’s environmental burden within past …

Quantifying Freshwater Salinization Impacts On Nitrate Removal Via Denitrification In Urban Streams, Brynnen Beck

Crop, Soil and Environmental Sciences Undergraduate Honors Theses

As the urban world expands, the construction of impervious surfaces increases erosion and runoff into nearby streams. Urbanization also adds waste from human activity into the environment. One of these wastes is runoff from road salt application in winter months, which can increase stream salinization and interfere with other important ecological processes, such as denitrification. Therefore, the objective of this study was to compare nitrate removal via denitrification between two urban streams to understand the role of road salts in freshwater salinization. We compared conductivity measurements between the streams to see how background conductivity (a proxy for salinity) influences resilience …

Development And Validation Of A Computational Fluid Dynamics Model Using Wind Tunnel Experiments, Savanah G. Godwin

Chemical Engineering Undergraduate Honors Theses

A gas release computational fluid dynamics model was developed and validated using a previous wind tunnel experiment conducted by Daniel Williams. This simulation was modeled using CHEM software, and based on experimental conditions used in the University of Arkansas’ Chemical Hazard Research Center’s wind tunnel. These include ultra-low wind speeds, working in the atmospheric boundary layer, and using finite release durations with a neutrally buoyant gas. The simulation was developed in two phases: inflow and release. The inflow phase consisted of the development of the atmospheric boundary layer. The data from the simulation aligned well with the wind tunnel data. …