Digital Commons Network^™

Studies Of Pathways To T2d And Interventions Through A Dynamical System Model., Rafiqul Islam

Electronic Theses and Dissertations

Existing mathematical models investigating the progression of type 2 diabetes (T2D) over time primarily focus on glucose, insulin, β-cell mass, and other related factors, while often omitting fatty acids (FA) as an explicit variable—despite FA being a major energy source for the body. There exists a complex network of dynamical interactions among glucose, insulin, FA, and β-cell mass. To gain deeper insights into the metabolic dynamics and pathophysiology of T2D, it is essential to incorporate FA into such models. In this study, we extend the classic Topp’s GIβ model by explicitly incorporating FA and exploring its interactions with glucose, insulin, …

Thermal Characterization Of Lithium-Ion Batteries Under Fast Charging Conditions Using Infrared Imaging., Gowthaman Punithakumar

Electronic Theses and Dissertations

Lithium-ion batteries are widely used across various industries due to their long lifespan, high energy density, low self-discharge rate, and absence of memory effect. However, fast charging of Li-ion batteries can cause problems like lithium plating, mechanical damage, and overheating. Temperature plays a key role in battery performance. Measuring temperature accurately is important to improve battery life, efficiency, and safety. However, accurately measuring a battery's internal temperature remains challenging, and the appropriate measurement method depends on factors like range, accuracy, resolution, and cost. Choosing the right temperature measurement method depends on range, accuracy, resolution, and cost. In this study, we …

First Specimen-Based Record Of Barbonymus Schwanefeldii (Bleeker, 1854) (Teleostei: Cyprinidae) From Laguna De Bay, Philippines, Kent Elson S. Sorgon, Marjorie Juliana L. Martinez, Andrei Justin F. So, Mariko Franccesca R. Aboganda, Jazreen Nicole G. Parungo, Aeris Johanne G. Poricallan, Keona Tiffany B. Prieto, Mellissa Jewel S. Magday, Alexa Charlize Dc Geronimo, Ma. Vianca Julia E. Anupol, Derreck O. De Leon

Biology Faculty Publications

The introduction of non-native fish species in the freshwater ecosystems of the Philippines presents a clear threat to native ichthyofauna, making verified reports of such introductions all the more critical. Through the examination of a collected specimen and anecdotes from fisherfolk and social media, we present here the first records of the occurrence of the tinfoil barb, Barbonymus schwanefeldii (Bleeker, 1854), in Laguna de Bay, Luzon Island, Philippines. This represents the addition of another non-native fish species in this lake, which is increasingly becoming dominated by non-native and invasive fishes that have been intentionally or accidentally introduced. Monitoring landed fish …

Investigating Factors That Influence Rural Student Degree Attainment At Urban Institutions., Kevin Kelleher Buckley

Electronic Theses and Dissertations

Decades of research have shown that rural students attend college at rates lower than their non-rural peers. When they do attend college, they tend to stay closer to home. Considering that over two-thirds of higher education institutions in the United States are in urban areas, this presents two challenges—rural students limit their options for where to attend college, and urban institutions face difficulty attracting and retaining rural students. Very little quantitative research is available that explains what may make a rural student more likely to be successful at an urban institution or if the geographic origin of a student plays …

Applying Residence Time Distribution Theory To Coronary Thermodilution Curves., Jacob Michael Miller

Electronic Theses and Dissertations

Cardiovascular diseases remain the leading cause of death worldwide and coronary microvascular dysfunction is one cardiovascular disease which is particularly challenging to diagnose and treat. Coronary thermodilution is a widely used, invasive procedure to evaluate microvascular function by generating physiological indices such as coronary flow reserve and the index of microvascular resistance. Although commonly cited as an indicator dilution method in the cardiovascular literature, current coronary thermodilution techniques lack rigorous application of the accompanying mathematical framework, thereby leaving potentially valuable diagnostic information unexploited. This study bridges that gap by demonstrating the equivalence between indicator-dilution theory and residence time distribution theory …

Bayesian Model Updating Of Structural Parameters Using Temperature Variation Data., Ujjwal Adhikari

Electronic Theses and Dissertations

Physical digital twins have now emerged as a technology in structural health monitoring and other domains of structural modeling. A Finite Element Model can be a tool for digital twin technology in conjunction with measured physical data. Developing an accurate digital model requires the integration of various parameters to replicate the real structure; however, temperature is dynamically changing, resulting in difficulty in the identification of structural parameters. Typically, temperature is considered noise or filtered out. Limited research has addressed the physics-based model using temperature variation related to structural modal properties. Finite Element Model Updating (FEMU) is a typical inverse problem-solving …

Near-Earth Object (Neo) Surveyor Development: Challenges And Opportunities In Support Of Planetary Defense, G. Loftus, B. Carlsen, P. Scott, S. Backlund, L. Reinhart, T. Martin, T. Hoenes, R. Burgon, S. Ashby, J. Peterson, B. Lamborn, J. Bowman

Space Dynamics Laboratory Publications

The Near-Earth Object (NEO) Surveyor mission is a key element in our future planetary defense portfolio, which will survey our solar system in the infrared to discover and characterize asteroids and comets.

The mission is designed to detect, track, and characterize small bodies throughout our solar system. By United States Congress mandate, NASA must discover more than 90% of all asteroids and comets that are larger than 140 meters in diameter and could potentially impact Earth. NEO Surveyor will provide critical decision support for stakeholders who must assess the risks of NEO impacts to Earth and identify potential mitigation strategies. …

Development Of Soil Water Characteristic Curves Through Control Of Relative Humidity, Lauren E. Johnson, Julia I. Loshelder, Richard A. Coffman

Civil Engineering Undergraduate Honors Theses

The relationship between soil suction and soil water content in unsaturated soil mechanics is important but can be difficult to measure. The objective of the research described herein was to develop soil water characteristic curves (SWCC) from relative humidity values by incorporating the use of glycerin-water mixtures. Glycerin-water mixtures can be used to achieve different relative humidity levels by varying the concentration of glycerin within the mixture. The relative humidity created by each mixture was measured with a relative humidity sensor, and the relative humidity values and Kelvin’s equation were used to compute the total suction.

Soil water characteristic curves …

Relating Strength, Time, And Temperature For Bcsa Cement Concrete Using The Maturity Method, Daniel M. Passarelli

Civil Engineering Undergraduate Honors Theses

Belite calcium sulfoaluminate (BCSA) cement is an extension of CSA cement technology designed to provide early setting times and rates of strength gain with reduced environmental impact compared with portland cement. However, its application in the field of structural concrete is widely unexplored. To that end, this paper details research conducted at the University of Arkansas Civil Engineering Research and Education Center (CEREC) exploring the rates of strength gain in concrete samples created using BCSA cement relative to various temperatures and ages. Following the practices outlined in ASTM C1074, the maturity method, compression strength tests were conducted on the aforementioned …

Remaining Life Analysis Of Pipeline Gas With Extreme Value Theory, Rony Prayitno Simeon, Eddy Sumarno Siradj, Tedi Kurniawan

Journal of Materials Exploration and Findings

Energy and chemical companies use pipelines to transfer oil, gas, and other materials from one place to another, within and between their plants. Pipeline integrity is an important concern because pipeline leakage could result in serious economic or environmental losses. Some research has applied to understand the effect of extrapolation value of the minimum thickness of pipeline by using the Extreme Value Theory. In this research, both statistical models and Extreme Value methods were applied and developed for the reliability of the pipeline by assuming the constant corrosion rate and deviation due to measuring devices were neglected. The research obtained …

Integrity Assessment Of Shipping Line Pipelines Using Risk-Based Analysis To Determine Risk And Maintenance Strategies, Ade Ratih Anggraini, Dwi Marta Nurjaya

Journal of Materials Exploration and Findings

Pipeline Shipping Lines X, Y & Z are classified as critical infrastructure, being the only transportation through the crude oil lifting from P and R location to the transfer station in NM Area. To maintain the workflow of the Shipping Line, integrity assessments and risk evaluation are required to ensure the operational and safety. Anomalies were found by analysing inspection, monitoring, and repair data, while the pipelines' future integrity was assessed by calculating the remaining life. Risk-Based Analysis (RBA), which is a modification of Kent Muhlbaeur's method, is employed to conduct the risk assessment using the Probability of Failure (POF) …

Characteristics Of Carbonaceous Materials Synthesized From Palm Oil Empty Fruit Bunch Waste Using Ferrocene Catalyst, Ahmad Nabil Shahab, Adinda Izzatul Islam, Afif Wardana, Ilham Nur Dimas Yahya, Ary Yanuar Tri Amalia, Nofrijon Sofyan, Donanta Dhaneswara

Journal of Materials Exploration and Findings

The synthesis of carbonaceous materials for reduced graphene oxide (rGO) precursors using oil palm empty fruit bunches waste as a carbon source offers a sustainable solution for waste management in the palm oil industry while delivering high-performance materials. The oil palm empty fruit bunches were carbonized, followed by acid washing, pyrolysis with ferrocene (8%, 12%, and 16% variations), and ultrasonication to produce rGO. The structural, electronic, and morphological properties of the rGO were analyzed using various characterization techniques. The band gap values decreased with increasing ferrocene concentration, from 1.14 eV (8%) to 1.06 (16%), indicating enhanced electronic conductivity. XRD analysis …

Assessment Of H2s-Induced Cracking Susceptibility In Steam Line Pipes And Weld Zones During Geothermal Well Construction, Riene Kaelamanda Pragitta, Yudha Pratesa

Journal of Materials Exploration and Findings

The susceptibility of steam line pipes, especially in the HAZ (heat-affected zone) and weldment areas, to hydrogen sulfide in the geothermal industry is crucial to understand from the early stages, particularly during construction. The combination of tensile stress from residual stresses after welding and metallurgical phase transformation makes the joint areas vulnerable to sulfide stress cracking. This condition becomes even more extreme when the equipment operates during the well stimulation phase. This research assesses the severity of H₂S-induced cracking using NACE MR0175 and ISO 15156-1 standards, focusing on the effects of pH and partial pressure of H₂S (p_{H₂S …}

Unemployed Negativity: Fragments On Philosophy, Politics, And Culture, Jason Read Phd

Faculty, Staff, and Alumni Books

Unemployed Negativity is a blog kept by Jason Read for over eighteen years. During that time, it has been a reflection on everything from the films of Jordan Peele to the relevance of Marxist criticism for contemporary society. It has reflected on such cultural transformations as the lasting legacy of Shark Week to the rise of conspiracy theories in contemporary politics. In doing so it has persisted in one central aim, to make philosophy a living reflection on the present rather than a contemplation of the past. This is a collection of its best posts, revised and expanded for publication.

Cultivated Meat: A New Frontier For Hungry Cell Culture Engineers, Robert D. Kiss

Cell Culture Engineering XIX

Please click Additional Files below to see the full abstract

Autonomous Process Development For Cell Culture Processes, Nandita Vishwanathan, Thomas Vuillemin, Jean-Marc Bielser, Chethana J Gadiyar, Claudio Mueller, Michael Sokolov, Nico Cruz

Cell Culture Engineering XIX

Please click Additional Files below to see the full abstract

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 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 …