Digital Commons Network^™

Acetaminophen’S Contribution To Autism And Adhd From A Mitochondrial Perspective, Stephanie G. Chu

Senior Honors Theses

The CDC reported that one in 36 children were identified with autism in 2020, a 22% increase from 2018 and a 98% increase from 2010. Simultaneously, ADHD diagnoses increased 36% from 2003 to 2016-2019. Despite this surge, their etiologies remain largely unknown. However, numerous studies document higher incidences of mitochondrial abnormalities in affected individuals. Additionally, acetaminophen has been implicated in these disorders in longitudinal studies and murine models. This paper is a compilation of literature aiming to present a novel theoretical framework for acetaminophen-induced mitochondrial damage in utero. It focuses on a toxic metabolite of acetaminophen, N-acetyl-p-benzoquinone imine, and its …

How Extreme Rainfall And Failing Dams Unleashed The Derna Flood Disaster, Ayman Mokhtar Nemnem, Ahad Hasan Tanim, Audrika Nahian, Sadik Khan, Erfan Goharian, Jasim Imran

Faculty Publications

On September 11, 2023, Storm Daniel unleashed unprecedented rainfall over the Wadi Derna watershed, triggering one of the most devastating floods in modern history, striking Derna, a coastal city in Libya. This study reconstructs the disaster using an integrated modeling approach that combines satellite imagery, hydrologic, hydraulic, and geotechnical simulations, machine learning, eyewitness accounts, and digital elevation data to assess the impact of cascading dam failures. Our findings reveal that the region’s dams, even if structurally sound, would have provided minimal protection against the extreme runoff. However, their failure unleashed a destructive surge wave, amplifying the disaster’s magnitude and devastation. …

Characterization Of A Magnetically Contained Hot Filament Plasma Source With A Wide-Sweeping Langmuir Probe, Jonas Rowan

Doctoral Dissertations and Master's Theses

Ionospheric plasma research in the Space and Atmospheric Instrumentation Laboratory’s Space Plasma Chamber has been hindered by the lack of a suitable plasma diagnostic instrument and understanding of its hot-filament plasma source. This thesis describes efforts made to remedy both problems. A wide-range Sweeping Langmuir Probe was developed with a ±35 V sweeping range to fully analyze ion and electron saturation regions in the entire IV curve. A method was derived to estimate the chamber source’s filament temperatures. The new Langmuir probe was integrated into a refurbished automated system designed in Python to measure plasma parameters for various chamber conditions, …

Solar Sailing Adaptive Control Around The Earth-Moon Lagrange Point L4 For Stellar Observations, Luis Mendoza Zambrano

Doctoral Dissertations and Master's Theses

To expand our knowledge about the influence of the Sun in the cislunar region, as well as our understanding of shocks due to Coronal Mass Ejections and large coronal magnetic reconnection, a solar sailing approach is proposed to separately capture lunar occultations and observe the solar corona from L₄ of the Earth-Moon system. Single and multiple shooting techniques are described along with a pseudo arc-length continuation method for preliminary orbit design. Periodic orbits in the vicinity of L₄ are obtained in the context of the Earth-Moon circular restricted three-body problem (CR3BP) and the Sun-Earth-Moon bi-circular restricted four-body problem …

Satellite Reorientation Using Reinforcement Learning Under Unknown Attitude Failure, Matthew Willoughby

Doctoral Dissertations and Master's Theses

This study presents a reinforcement learning (RL) approach for reestablishing communication with deep-space satellites under unknown attitude determination and control system (ADCS) failures. When traditional fault-tolerant control methods cannot restore signal, the proposed RL controller acts as a last-resort measure by autonomously reorienting the satellite’s antenna toward Earth while charging the battery via solar panels. A generic reward function, designed for the RL-based method, enables the controller to adapt to diverse failure scenarios, including severe actuator noise, misalignment, and complete actuator failure. Simulations are conducted in the Basilisk environment and trained with the tonic framework and demonstrate ranging capabilities of …

May 2025 Faculty Senate Packet, University Of Nebraska At Kearney Faculty Senate

Faculty Senate Packets

No abstract provided.

Symmetry Induced Pairing In Dark Excitonic Condensate At Finite Temperature, Adham Alkady, Anatoly Kuklov

Publications and Research

Bose Einstein condensate of dark intervalley excitons must be inherently multi-component because of crystalline symmetries. Since valleys hosting such excitons are separated by large quasi-momenta, a minimal inter-component Josephson-type coupling can only be established between pairs of excitons from the time-reversed valleys. As a result, a paired condensate can emerge at finite temperature, that is, the off-diagonal order exists for the pairs from the time-reversed valleys, while the individual valleys are disordered. This prediction follows from the elementary mean field analysis regardless of the dimensionality. However, as Monte Carlo simulations show, no such a phase exists in 3D crystals. Instead, …

Mapping The Key Players In Kawasaki Disease; Role Of Inflammatory Genes And Protein-Protein Interactions, Wael Hafez, Feras Al-Obeidat, Asrar Rashid, Afsheen Raza, Nouran Hamza, Nesma Ahmed, Marwa M. Abdeljawad, Raziya Kadwa, Abdelhameed Elmesery, Muneir Gador, Dina Khair, Gihan Zina, Fatema Abdulaal, Mina Wassef Girgiss, Maha Abdelhadi, Ahmed Abdelrahman, Mahmad Anwar Ibrahim, Mohamed El Sherbiny

All Works

Background: Kawasaki disease (KD) is a complex acquired condition characterized by systemic blood vessel inflammation that primarily affects children under five years of age. It is clinically diagnosed as a syndrome, making it susceptible to misdiagnoses. Severe complications such as myocardial damage and coronary artery abnormalities can be fatal; thus, early diagnosis is critical for preventing disease progression. Currently, no specific diagnostic test can distinguish KD from viral or bacterial infections. Additionally, the molecular mechanisms underlying the disease remain unclear, hindering the development of targeted therapies. Objective: This study aimed to identify the genetic patterns and molecular mechanisms associated with …

Two-Sample Bi-Directional Causality Between Two Traits With Some Invalid Ivs In Both Directions Using Gwas Summary Statistics, Siyi Chen

School of Public Health Faculty Publications

Mendelian randomization (MR) is a widely used method for assessing causal relationships between risk factors and outcomes using genetic variants as instrumental variables (IVs). While traditional MR assumes uni-directional causality, bi-directional MR aims to identify the true causal direction. In uni-directional MR, invalid IVs due to pleiotropy can violate assumptions and introduce biases. In bi-directional MR, traditional MR can be performed separately for each direction, but the presence of invalid IVs poses even greater challenges. We introduce a new bi-directional MR method incorporating stepwise selection (Bidir-SW) designed to address these challenges. Our approach leverages public genome-wide association study (GWAS) datasets …

Soft Modular Robots: From Modular Tensegrity Structures To Bioinspired Sea Robots, Luyang Zhao

Dartmouth College Ph.D Dissertations

The rapid advancement of robotics necessitates systems capable of adapting to complex, unstructured environments. Soft robots, with their flexibility and compliance, excel in delicate interactions, making them ideal for medical applications and search-and-rescue missions. Modular robots, on the other hand, offer reconfigurability, enabling diverse task-specific adaptations in dynamic settings. Despite their individual advantages, the integration of soft and modular robotics remains underexplored. This proposal aims to develop soft modular robots that combine the adaptability of soft robotics with the versatility of modularity. These systems will be capable of autonomously transitioning between locomotion, manipulation, and infrastructure assembly across land, water, and …

Re: Comment Letter For The Butte Priority Soils Operable Unit (Bpsou) Draft Final Residential Metals Abatement Program (Rmap) Quality Assurance Project Plan (Qapp) (Non-Residential Parcels And Residential Daycares) (Dated February 26, 2025), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Student Engagement In Ela Choice-Based Core Curriculum: A Case Study Of The Dramatic Writing For Film, Television, And Theater Course, Brian Thomas Clements

Dissertations

This paper describes a case study examining student feelings towards engagement in choice-based core ELA courses and teacher feelings towards student engagement specifically within the Dramatic Writing for Film, Television, and Theater course offered in the state of Georgia. The context of this study focuses on the impact that student agency, choice, and voice have on student engagement from their own perspective and how Invitational Education Theory connects to this impact and the course itself. The case study examines the course, its students, and teachers in two schools in a large, suburban metro Atlanta school district. Through interviews and observations, …

Using Iready To Support Math Intervention After The Covid-19 Pandemic, Marvin Prather

Dissertations

The purpose of this study is to research the use of iReady for assisting in growing MAP RIT scores at STEAM Elementary School. This study will use quantitative methods. An ex post facto research design will be used with a causal-comparative approach, which means that a study will investigate potential cause-and-effect relationships between variables by examining existing groups or conditions that have already occurred, without actively manipulating any factors, essentially looking at “after the fact” to see if differences between groups can be linked to a potential causal variable The study examined the effect of the i-Ready Math program on …

Improving The Reproducibility Of Deep Learning Software: An Initial Investigation Through A Case Study Analysis, Nikita Ravi, Abhinav Goel, James C. Davis, George K. Thiruvathukal

Computer Science: Faculty Publications and Other Works

The field of deep learning has witnessed significant breakthroughs, spanning various applications, and fundamentally transforming current software capabilities. However, alongside these advancements, there have been increasing concerns about reproducing the results of these deep learning methods. This is significant because reproducibility is the foundation of reliability and validity in software development, particularly in the rapidly evolving domain of deep learning. The difficulty of reproducibility may arise due to several reasons, including having differences from the original execution environment, incompatible software libraries, proprietary data and source code, lack of transparency, and the stochastic nature in some software. A study conducted by …

Perspectives On Using Multimedia In Social Studies For Student Engagement In Marginalized Youth: A Case Study, Dorrian Swinger

Dissertations

Abstract

Marginalized youth are currently facing an academic crisis in schools. Research has shown that marginalized youth are statistically more likely to drop out of school and not graduate from high school (defined as the academic crisis in this study). One reason for these high drop-out rates is disengagement in what is taught and how content is delivered in school. When students cannot relate or connect to their studies, it causes disengagement and uninterest in school. The disengagement can lead to a lack of academic success, which creates negative motivation to drop out of school. The more marginalized youth are …

An Endangered Profession: Elevating The Lived Experiences Of Current And Retired Black Teachers In Georgia To Confront Retention Challenges And Reimagine The Legacy Of Teaching, Thelma Sharese Colbert

Dissertations

Black teachers have always played a critical role in shaping the educational journeys and cultural identities of students of color, yet their presence in U.S. public schools continues to decline. This study investigates what compels Black/African American educators to remain in the profession despite systemic barriers, racism, and marginalization. It centers the voices of Black/African American teachers in Georgia, a state with a long and complex history of educational inequity.

Ten participants, all self-identified Black/African American educators with at least three years of experience, shared their lived experiences through semi-structured interviews, pre-interview surveys, and observational field notes. Participants were recruited …

The Impact Of Flipped Classroom With Active Learning Model Of Instruction In Teaching Stoichiometry In Chemistry Among Black And Brown Students, Lawrence Femi Akintokun

Dissertations

Students pursuing professions in STEM sometimes encounter difficulties in General Chemistry, a semester-long foundational subject. A fundamental subject in this course is stoichiometry, which pertains to the mathematical connections between elements and compounds in chemical processes. This fundamental notion is essential for comprehending advanced chemistry subjects, although it may provide challenges for students because of its dependence on algorithms and prior knowledge. Research has predominantly concentrated on the conceptualization of stoichiometry through models endorsed by educators, rather than on student involvement. This project sought to investigate the interactions of Black and Brown students with essential stoichiometry ideas in General Chemistry …

Real-Time System Availability For Cyber-Physical Systems, Jinwen Wang

McKelvey School of Engineering Graduate Student Theses & Dissertations

Cyber-physical systems (CPSs), such as autonomous vehicles, are increasingly being deployed. The sensing, control, and actuation loop in CPSs must complete within strict timing constraints. Missing a real-time deadline can lead to catastrophic consequences, as CPSs continuously interact with the physical world. This highlights the importance of real-time system availability (i.e., timely execution) in CPS tasks, going beyond traditional security goals that primarily focus on confidentiality and integrity. From a security perspective, two factors affect real-time system availability. First, attackers with access to hardware resources in CPSs may disrupt the execution timing of real-time tasks. Second, the deployment of security …

Hidden Scientists/Hidden Creatives Exhibition 2025, Con Kennedy, Niamh Ann Kelly, Claire Wynne, Jesus Maria Frias, Steve Meaney

Research Outputs: 2025-Present

Hidden Scientists/Hidden Creatives is an annual exhibition about underrepresented women in STEM and Design.

The students from the TU Dublin School of Art and Design, TU973 B.A. (hons) Visual Communication Design, completed this assignment in their Design and Career Management module.

This year, all the students who participated in this module are Erasmus students from our international partners. This international cohort joined us from IADE - Universidade Europeia - Faculdade de Design, Tecnologia e Comunicação da Universidade Europeia, Lisbon, Portugal and Escuela de Arte San Telmo, Malaga, Spain.

This exhibition ran from 6-9 May 2025, East Quad Atrium, TU Dublin, …

Vanadyl Phthalocyanine As A Low-Temperature/Low-Pressure Catalyst For The Conversion Of Fructose To Methyl Levulinate, Juan Luna, Mataz Alcoutlabi, Elizabeth M. Fletes, Helia Magali Morales, Jason Parsons

School of Integrative Biological & Chemical Sciences Faculty Publications

In this study, a vanadyl phthalocyanine was synthesized and characterized using XRD, FTIR, and XPS, confirming the successful metalation of the phthalocyanine ring. XRD analysis showed the vanadyl phthalocyanine crystallized in the P-1 crystal lattice, with unit cell parameters a = 12.058 Å, b = 12.598 Å, and c = 8.719 Å, and the lattice angels were 96.203°, 94.941°, and 68.204°. FTIR spectroscopy supported the metalation by the disappearance of the N-H stretch of the non-metalated phthalocyanine. The vanadyl phthalocyanine was tested as a heterogenous catalyst for the conversion of fructose into methyl levulinate in H2SO4–methanol and HCl–methanol systems. The …

First-Order And Second-Order Adjoint Method And Stochastic Approximation For Inverse Problems, Adrian Heldt

Theses

We present a unified framework for estimating stochastic parameters in general variational problems. This nonlinear inverse problem is formulated as a stochastic optimization problem using the output least-squares (OLS) objective, which minimizes the discrepancy between observed data and the computed solution. A key challenge in OLS-based formulations is the efficient computation of first- and second-order derivatives of the OLS functional, which depend on the corresponding derivatives of the parameter-to-solution map—often costly and difficult to evaluate, especially in stochastic settings. To address this, we develop a rigorous computational approach based on first- and second-order adjoint methods for inverse problems governed by …

Weak Formulation For Solving Inverse Problems In Reproducing Kernel Hilbert Spaces (With Applications To Learning Dynamical Systems), Victor William Rielly

Dissertations and Theses

We combine numerical and machine learning techniques to present a general framework for solving inverse problems using vector valued reproducing kernel Hilbert spaces in a variational formulation. We present this framework in two papers. In the first paper, we present an original state-of-the-art method derived in the context of our general framework for learning dynamical systems. In the second paper, we generalize the method from our first paper to arrive at the framework for solving inverse problems. Then we apply our general framework to the task of learning dynamical systems. In both papers we consider numerous applications of our methods …

Handwritten Digit Recognition Using Machine Learning, Dipok Deb

Data Science and Data Mining

Handwritten Digit Recognition (HDR) remains a fundamental benchmark in pattern recognition and machine learning due to its practical applications and inherent classification challenges posed by diverse handwriting styles. This study investigates and compares two classical statistical classifiers—Gaussian Naive Bayes (GNB) and Linear Discriminant Analysis (LDA)—to recognize the digits from the MNIST dataset. Both models assume underlying normality in feature distributions and offer computational efficiency, making them suitable for high-dimensional input such as image pixels. Using 60,000 training and 10,000 test samples, we evaluate model performance through accuracy, precision, recall, F1 score, and confusion matrices. The results reveal that while GNB …

Clustering Dataset Using K-Mean Clustering, Dipok Deb

Data Science and Data Mining

Clustering is a fundamental technique in unsupervised machine learning, widely applied in various domains such as pattern recognition, data segmentation, and anomaly detection. This study evaluates the performance of the K-Means clustering algorithm on multiple benchmark datasets, including low-dimensional, high-dimensional, and imbalanced datasets. The clustering results are assessed using four key evaluation metrics: Mean Squared Error (MSE), Adjusted Rand Index (ARI), Normalized Mutual Information (NMI), and Silhouette Score. Experimental results demonstrate that K-Means performs effectively on datasets with well-separated clusters, particularly in high-dimensional spaces, where it achieves near-perfect clustering accuracy. However, its performance deteriorates in datasets with overlapping clusters and …

Precision Hinges For Origami Space Arrays, Jake Sutton, Trevor Carter, Davis Wing, Brooklyn Clark, Fisk Lundgreen, Spencer Magleby, Mark Stephen, Nathan Usevitch, Larry L. Howell

Utah Space Grant Consortium

Optical satellite performance improves with increased surface area, which enhances light capture and sensor input. Deployable array mechanisms allow satellites to remain compact during launch and expand in orbit. This study focuses on designing passive hinges in rigid-panel origami-based deployable satellites for optical applications. A novel kinematic coupling method is developed, incorporating magnets, compact Lamina Emergent Torsional (LET) joints, and principles from Maxwell couplings. This system autonomously achieves precise alignment without motorized actuation reducing complexity. The design process involved iterative testing of ten two-panel hinge prototypes to identify the most effective designs. These were integrated into a degree-four vertex pattern …

Reconstruction Of Cad Models Into Analysis-Ready Single Trimmed Surfaces With Aerospace Applications, Rebecca Rasmussen, Royce Pablo Harline, Kendrick Shepherd

Utah Space Grant Consortium

Classical methods by which computer-aided design (CAD) geometries are represented for both design and analysis involve meshing. However, the current process of converting a CAD model into an analysis-suitable surface mesh takes a significant amount of time and labor [23, 4, 18], results in a faceted representation of the original smooth geometry, and generates representations that are prohibitively expensive for use in high-order explicit dynamics computations [35, 9].

This research focuses on accurately and efficiently rebuilding given CAD surfaces or meshes, such as shell-like components of aeronautical structures or automotive vehicles, into smooth, single trimmed spline surface approximations (rather than …

Call For Manuscripts, Michele J. Koomen, Thomastine Sarchet-Maher, Jessica Williams

Journal of Science Education for Students with Disabilities

No abstract provided.

Poly(2-Methyl 1-Pentene Sulfone) (Pmps) As A Potential Oxidation Retardant For Aluminum Mirrors For Space Telescopes, Kira Sand, Matthew Clarkson, Morgan Peterson, David Allred

Utah Space Grant Consortium

The reflectivity of aluminum mirrors, essential for capturing high-quality far-ultraviolet (FUV) images in space telescopes, is compromised by oxidation caused by exposure to Earth's atmosphere. Barrier coatings like magnesium fluoride can protect aluminum but still permit slow oxidation over time. To address this, we propose using photodegrading polymer films, which depolymerize under UV light in a vacuum, as a protective coating for aluminum mirrors until they exit Earth's atmosphere. Our research focuses on Poly(2-methyl 1-pentene sulfone) (PMPS), which depolymerize when exposed to ultraviolet light in vacuum, ensuring stability until reaching space.

Multiple Wavepacket Decomposition Of F404 Engine Military Jet Noise, Tyce W. Olaveson, Kent L. Glee

Utah Space Grant Consortium

Jet noise sources are challenging to measure directly due to the extreme environment. Inverse methods, such as acoustic beamforming, using data collected near these sources can be used to construct equivalent source models that accurately describe the acoustic radiation. However, generating these models for a complex source can require thousands of parameters for a complete description. To address this challenge, a multiple wavepacket decomposition is introduced, reducing the source model into a set of analytic wavepackets, which recreate the full-rank model. This paper provides an overview of the decomposition procedure and applies it to acoustic data collected near a T-7A-installed …

Bistatic Continuous Wave Radar Using Sdrs, Matthew Finger

Utah Space Grant Consortium

This paper describes a research project at Weber State University (WSU) to create a small-scale passive-bistatic radar (PBR) using a low-cost software-defined-radio (SDR). SDRs have improved (in terms of performance versus cost) to where an affordable, low-power, receive-only radar system may be used in suitable RF environments.

The initial effort will generate a PBR testbed. Controlled measurement campaigns will validate radar-signal processing algorithms using two-dimensional geometries with a controllable transmitted signal. Follow-on research will integrate a two-element phased-array antenna at the receive SDR.