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The Mythic Circle #47

The Mythic Circle

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Editors' Introductions

The Mythic Circle

No abstract provided.

Syllabus Checklist, Kimberly S. Ervin

All Faculty Scholarship

The syllabus checklist is a resource created by the Faculty Development and Innovation Center (FDIC) that can serve as a guide to Eastern Illinois University (EIU) faculty in developing well-structured and informative course syllabi for a course in any modality (face-to-face, online, and/or hybrid). Using this checklist will help ensure that your syllabus not only meets university standards but also effectively communicates the course's expectations and structure to learners. A well-crafted syllabus is a crucial aspect of transparent and efficient teaching, fostering a positive learning environment and setting clear expectations for both faculty and learners.

Diverse Cell Types Establish A Pathogenic Immune Environment In Peripheral Neuropathy, Julie Choi

Arts & Sciences Graduate Student Theses and Dissertations

Neuroinflammation plays a complex and context-dependent role in many neurodegenerative diseases. We identified a key pathogenic function of macrophages in a mouse model of a rare human congenital neuropathy in which SARM1, the central executioner of axon degeneration, is activated by hypomorphic mutations in the axon survival factor NMNAT2. Macrophage depletion blocked and reversed neuropathic phenotypes in this sarmopathy model, revealing SARM1-dependent neuroimmune mechanisms as key drivers of disease pathogenesis. In this study, we investigated the impact of chronic subacute SARM1 activation on the peripheral nerve milieu using single cell/nucleus RNA-sequencing (sc/snRNA-seq). Our analyses reveal an expansion of immune cells …

Segmentation And Memory In Interactive, Inferential Events, Ata Baris Karagoz

Arts & Sciences Graduate Student Theses and Dissertations

Though everyday life is continuous, people tend to understand and remember experiences as discrete events separated by boundaries. Event segmentation theory (EST) (Zacks et al., 2007) describes these event boundaries as being driven by prediction error. People have an internal model of how an event unfolds, uses this to form predictions, and then places a boundary when a new model is necessary. Prior studies suggest that episodic memory is enhanced for information occurring near event boundaries, though less is known about these effects in interactive environments. To assess this, I designed an experimental paradigm where participants uncover changes in the …

Emotions And Narrative In Sophocles' Fragmentary Tragedies "Tyro" (A’ And B’) And "Tereus", Maria Eugenia Bonaparte Gimenez

Arts & Sciences Graduate Student Theses and Dissertations

The purpose of this master’s thesis is to explore the possibility of gaining a better understanding of Sophocles’ fragmentary tragedies by taking emotions into consideration. I focus on three of those plays, Tereus, and Tyro A’ and B’, and put them in relation to the mythological narratives from which they derived, as well as other examples of reception. By considering the basic narrative patterns of the myth and their rendering in different media alongside emotional scripts, we can support or challenge existing hypotheses about these fragmentary plays. At the conclusion of this study, I demonstrate that emotions have …

Summer Symposium 2025, Student Inquiry And Research (Sir)

IMSAloquium Event Booklets

For nearly four decades, IMSA has worked to advance the human condition through educational innovation. The Summer Symposium is our annual showcase for the research projects that were conducted in IMSA’s experiential learning programs between May and August. These programs include Student Inquiry and Research (SIR), IN2 Business Internships, and the Student Research and Experiential Learning Opportunity (SRELO) program.

What Is Lost When Time Is Saved: Drawing In Collaboration With The Urban Periphery, Carmen Ribaudo

MFA in Visual Art

I pay attention to the overlooked spaces where land and industry meet, prompting me to wonder what can be gleaned in the oily and cracked urban periphery. With a focus on my hometown St. Louis, this industrial city is my subject matter. And so, I draw in a neighborhood bisected by a highway. I animate with sand near the river confluence on land preserved after a historic flood. I make my own bricks in this Brick City, setting up in locations of former terra cotta clay mines. I sit in the tension of what author Michael Martone calls the “midwestern …

Structure And Function Of Type 1 Pilus Assembly Machinery In Uropathogenic Escherichia Coli, Ryan Bitter

Arts & Sciences Graduate Student Theses and Dissertations

Gram-negative bacteria produce chaperone-usher pathway (CUP) pili, which are extracellular adhesive protein fibers critical for host-pathogen interactions. An outer-membrane usher protein, together with a periplasmic chaperone, assembles thousands of pilin subunits into a pilus fiber. Each pilus is tipped by an adhesin that mediates host and tissue tropisms by binding to receptors with stereochemical specificity. Type 1 pili expressed by uropathogenic Escherichia coli (UPEC) are essential virulence factors in urinary tract infections (UTIs) and facilitate attachment to mannosylated glycoproteins on bladder epithelial cells. Although type 1 pili have been extensively studied, critical gaps remain in our understanding of the molecular …

Unveiling Mysteries Of The Universe: Axions, Sterile Neutrinos, And Curvatons, Takuya Okawa

Arts & Sciences Graduate Student Theses and Dissertations

The Standard Model of particle physics and cosmology is amazingly successful in describing our universe, from at present to even tracing back to just one second after its birth. Yet, it is known to be incomplete. For instance, (i) more than four-fifths of matter in the universe is unknown, (ii) quantum chromodynamics is unnaturally of CP-preserving nature, (iii) the universe produced baryonic particles by nearly equal but slightly larger amount compared to anti-baryonic particles, and (iv) the physics at very early times is not understood yet. This thesis first briefly summarizes the Standard Model of particle physics and cosmology, and …

Advancing Anomaly Detection With Robust And Graph-Based Learning Methods: From Support Vector Data Description To Graph Neural Networks., Emil Agbemade

Graduate Thesis and Dissertation post-2024

Anomaly detection is crucial across various domains, particularly in handling highly skewed datasets where only normal operating conditions are available for training. To effectively identify abnormal events, specialized one-class classifiers have been developed. This dissertation explores robust and scalable anomaly detection methods, focusing on enhancing support vector techniques to accommodate complex data structures like graphs. The first study introduces the Robust Support Vector Data Description (RSVDD) model, which improves standard SVDD by incorporating a rescaled hinge loss function, making it more resistant to outliers. Using a half-quadratic optimization method, RSVDD dynamically adjusts the influence of each data point, leading to …

Supervised Topic Modeling For Scientific Texts: Bayesian Shrinkage Methods And Domain-Specific Applications In Forensics And Online Aggression Sciences, Amir Alipour Yengejeh

Graduate Thesis and Dissertation post-2024

Topic modeling has become a powerful tool for analyzing large-scale textual corpora across scientific domains. However, traditional unsupervised approaches like Latent Dirichlet Allocation (LDA) often produce redundant or weakly informative topics, limiting their interpretability and predictive utility. This dissertation presents a dual-track study that advances the field of interpretable topic modeling and domain-specific text analysis by (1) quantitatively analyzing research trends in Cyber Aggression and Abuse (CAA), and (2) developing a supervised topic selection framework for forensic science literature.

In the first part, we apply LDA to a corpus of 2,309 journal abstracts on CAA sourced from the Web of …

The Relationship Between Academic Advising And The Academic Success Of First-Generation, First Time In College Students, Nina Leonard

Graduate Thesis and Dissertation post-2024

Students navigate a variety of challenges that impact their success. As of 2024, Florida uses a myriad of metrics to predict retention rates. Studies have highlighted a relationship between students’ Year 2 retention and 4-year graduation rates. Recently, a large, urban university made significant investments in academic advising. The increased funding was influenced by a shift to gain a preeminent designation in the state. This study sought to determine what relationship, if any, academic advising had on student academic success. Quantitative analysis concluded that academic advising was connected to increased institutional grade point averages, retention to the second year, and …

Achievement In Performing Arts At Title I Schools In Florida: A Case Study On The Impact Of Administrative Leadership And Financial Decisions On Student Performance, Mario L. Ford

Graduate Thesis and Dissertation post-2024

Researchers have established that the leadership strategies of a principal can directly impact student achievement, though it has not been clearly stated how that occurs (Cox & Mullen, 2023). This single-case instrumental study investigates the financial and administrative priorities of a principal at a Title I high school in Florida and the impact they have on the Music Performance Assessment (MPA) ratings of band, chorus, and orchestra programs at the district level. Additionally, the purpose of this case study is to provide insight into how the principal at a Title I high school whose performing arts programs have a trend …

Exploring The Experiences Of Women Of Color High School Principals - An Investigation Into The Factors That Influence Their Longevity, Carmen Morales

Seton Hall University Dissertations and Theses (ETDs)

The underrepresentation of women of color in high school principal positions remains a persistent issue in educational leadership. This qualitative multi-case study explores the lived experiences of veteran women of color high school principals in northern New Jersey, investigating the factors that contribute to their longevity in the role. Through semi-structured interviews, document analysis, and observations, this study examines the intersectionality of race and gender in leadership, the barriers these women have encountered, and the strategies they have employed to sustain their leadership over time.

The findings highlight key themes, including the influence of mentorship and professional networks, the role …

Teacher Perceptions Of Instructional Coaching Impacts On Instructional Practice And Student Learning, Alpaslan Ozdogan

Seton Hall University Dissertations and Theses (ETDs)

This exploratory study investigates the role of instructional coaching in elementary education through the lens of teacher perceptions, with a focus on its influence on professional development, instructional methodology, educator well-being, and student academic achievement. The research pivots around four key questions examining the perceived impact of instructional coaches on:

1. Teachers' professional growth within elementary educational settings.
2. The evolution of instructional strategies and classroom practices.
3. The emotional and mental well-being of educators.
4. The academic performance and learning outcomes of students.

A narrative research approach was adopted, collecting and analyzing data through elementary teacher surveys, in-depth interviews with both teachers and …

Exploring Different Metal-Oxide Cathode Materials For Structural Lithium-Ion Batteries Using Dip-Coating, David Petrushenko, Thomas Burns, Paul Ziehl, Ralph E. White, Paul T. Coman

Faculty Publications

In this study, a selection of active materials were coated onto commercially available intermediate modulus carbon fibers to form and analyze the performance of novel composite cathodes for structural power composites. Various slurries containing polyvinylidene fluoride (PVDF), active material powders, 1-methyl-2-pyrrolidone (NMP) and carbon black (CB) were used to coat carbon fiber tows by immersion. Four active materials—lithium cobalt oxide (LCO), lithium iron phosphate (LFP), lithium nickel manganese cobalt oxide (NMC), and lithium nickel cobalt aluminum oxide (NCA)—were individually tested to assess their electrochemical reversibility. The cells were prepared with a polymer separator and liquid electrolytes and assembled in 2025-coin …

Revisiting Android Permission Evolution Through Temporal Analysis: A Data-Driven Study Of Behaviors And Implications, Ali Al Kinoon

Graduate Thesis and Dissertation post-2024

Malicious applications continue to pose significant privacy and security risks within the Android ecosystem, often exploiting user permissions and obscuring data collection practices behind opaque privacy policies. To address these challenges, this dissertation presents a comprehensive framework for enhancing Android app security through dataset construction, permission behavior analysis, and privacy policy classification. The framework systematically investigates key issues such as dataset fidelity, permission misuse, model performance, and the alignment between declared and actual data practices. Through a combination of empirical analysis and machine learning techniques, this work advances the development of more transparent and secure mobile applications. The first part …

Analyzing The Global Changes In The Seasonal Cycle Of Sea Level, Storm Surge, And Ocean Waves, Amanda Barroso

Graduate Thesis and Dissertation post-2024

Changes in the seasonal cycle of extreme sea level components can modulate the flooding risk along coastlines. This dissertation evaluates the changes in and potential co-occurrence of the seasonal cycles of mean sea level, storm surge, and ocean waves. Seasonal cycles characterize the generally expected climate conditions throughout the year with distinct high and low patterns. These regular and predictable cycles have shown non-stationarity in some locations across the globe. This means the timing of the expected peak may shift to occur earlier or later. Shifts in the timing of the maximum sea level impact coastlines with increased risk of …

Numerical Evaluation Of A Novel Transpiration Cooling Scheme For Use In Dynamic Control Of Atmospheric Entry System, Caroline J. Anderson

Graduate Thesis and Dissertation post-2024

Future space exploration missions require sustainable, efficient thermal protection systems for atmospheric entry, instead of disposable ablative shields. Transpiration cooling has interest as a long studied method but never used for missions to date, prompting further study to address concerns of flow transition downstream. In consideration of additional need for aerodynamic maneuvering for greater landing accuracy, a novel asymmetric scheme of transpiration cooling is presented as a method of using onboard coolant to meet entry trajectory maneuvering requirements. This numerical study creates a coupled model of vehicle-scale flow domain and material-scale thermal response to converge on accurate vehicle surface values.

Design And Development Of A Laser Diagnostic System For Ammonia And Nox Measurements In A Toroidal Jet Stirred Reactor At Atmospheric Pressure, Marzuqa Ahmed

Graduate Thesis and Dissertation post-2024

The need for more sustainable fuel alternatives in the modern aircraft industry is growing. SAF is the current sustainable fuel in use, but still produces harmful carbon emissions. A promising alternative to SAF is ammonia, which produces zero carbon emissions. By decomposing ammonia (NH₃) into its constituents of N₂ and H₂ using a chemical catalyst, a hydrogen-ammonia fuel mix is created. H₂/NH₃ mixtures still have the desired characteristic of burning without carbon emissions, but are less reactive than pure hydrogen. Additionally, ammonia is a widely used compound, so infrastructure already exists for production, …

Morphology, Evolution And Host-Driven Convergence In Ichneumonidae (Hymenoptera, Ichneumonoidea), Davide Dal Pos

Graduate Thesis and Dissertation post-2024

Understanding the functional and evolutionary significance of morphology is fundamental to interpreting the tree of life. In recent years, emerging tools have enabled broad-scale analysis of discrete morphological data and facilitated the study of entire phenomes, helping to re-establish morphology as a central component of evolutionary research. These advances allow us not only to examine individual traits in detail but also to compare them across taxa and explore their evolutionary trajectories. This approach is particularly critical when studying hyperdiverse groups that exhibit both high levels of morphological convergence and complex life cycles intricately tied to host use. A prime example …

Scalable Embedded Parallel System With Implementation Of Multi-Node Encryption, Binh Pham

Graduate Thesis and Dissertation post-2024

The advancements in artificial intelligence (AI) and other innovative technologies promote a demand for high-performance processing systems, underscoring the importance of parallel computing. As a result, the application of parallel systems has spread across various domains. Most of the existing parallel systems are implemented on Field-Programmable Gate Arrays (FPGAs), which require complex designs and adjustments from the user and are often costly despite some performance benefits. This work explores an alternative approach by implementing a parallel system with a distributed memory protocol on affordable and commercially available microcontroller platforms to provide a scalable and cost-effective system. The proposed parallel system …

Marine Ecosystem Services Disruption And Social Violence, Rafael Hurtado-Valdivieso

Graduate Thesis and Dissertation post-2024

Over the past century, human activities have profoundly altered ocean and coastal ecosystems, significantly impacting communities whose livelihoods depend on these environments. This dissertation explores how disruptions in marine ecosystem services contribute to the emergence of social violence in coastal communities, with a specific focus on the Colombian Caribbean. While prior research suggests a potential link between environmental degradation and conflict, empirical evidence remains limited and inconclusive. This study addresses that gap through a multi-method, interdisciplinary approach that integrates environmental science, political science, and computational modeling to examine the mechanisms linking ecosystem disruption to social violence.

The research follows a …

Bridging Data Gaps And Forecasting Challenges In Water Quality Monitoring Using Deep Learning, Rohan Gudla

Graduate Thesis and Dissertation post-2024

Reliable water quality monitoring is critical for protecting public health and enabling sustainable environmental management. However, high rates of missing data often exceed 40% due to sensor failures and operational disruptions severely undermine the utility of environmental monitoring systems. To address this challenge, this thesis presents a three-stage deep learning framework designed to enhance the accuracy and resilience of water quality forecasting. First, a Bidirectional Long Short-Term Memory model with Attention and Autoencoder Modules (BiLSTM-AAM) is introduced to impute long, irregular gaps in multivariate time series. Applied to real-world data from the St. Lucie River Basin, the model achieved a …

Enhancing Intelligent Transportation Systems: Scalability, Emulation, And Applications Of V2x Communication For Connected And Autonomous Vehicles, Ghayoor Shah

Graduate Thesis and Dissertation post-2024

The integration of Vehicle-to-Everything (V2X) communication is a key advancement for Connected and Autonomous Vehicles (CAVs), enhancing the safety, efficiency, and intelligence of modern Intelligent Transportation Systems (ITS). While Autonomous Vehicles (AVs) rely heavily on onboard sensor data for situational awareness, they remain limited in non-line-of-sight scenarios, which can lead to critical driver errors and accidents. V2X communication extends this awareness by enabling real-time exchange of information beyond sensor range, improving decision-making and reducing collisions.

Two primary V2X technologies are Dedicated Short-Range Communication (DSRC) and Cellular-V2X (C-V2X). While DSRC, based on IEEE 802.11p, was initially prominent in research, C-V2X, standardized …

Accurate And Efficient Orbit Probability Approximation Framework For Space Situational Awareness, Pugazhenthi Sivasankar

Graduate Thesis and Dissertation post-2024

Uncertainty Propagation in astrodynamics has gained importance in space situational awareness (SSA) problems such as space debris tracking, collision avoidance, and Cislunar operations. In this dissertation, the technique of Orbit Probability Approximation (OPA) is developed. OPA propagates orbital uncertainty using Liouville’s theorem with different functional approximations. First, OPA is formulated with Chebyshev polynomials to propagate the uncertainty on a geocentric planar orbit problem and then validated using two sources of satellite data: GRACE navigation data from the Jet Propulsion Laboratory (JPL) database, and FireOPAL ground-based observer provided by Lockheed Martin. In this validation process, OPA propagates uncertainty without using any …

Computational Approaches For Rna Structural Motif Analysis: Similarities, Variations, And Spatial Relationships, Md Mahfuzur Rahaman

Graduate Thesis and Dissertation post-2024

The three-dimensional structures of RNA play a critical role in understanding their functions. One way to study the RNA 3D structure is by analyzing recurrent segments within the loop regions of RNAs, known as RNA structural motifs. These motifs can be grouped into families based on their structural features. However, the inherent structural diversity presents challenges in characterizing the similarities, variations, and spatial relationships within RNA motif families. This dissertation presents three computational methods that together provide a comprehensive framework for RNA structural motif analysis. First, RNAMotifComp establishes and visualizes relational networks among structural motif families. By analyzing instances of …

From Failure To Fidelity: Enabling Scalable Sim2real Lidar Perception Through Realistic Digital Twins, Muhammad Shahbaz

Graduate Thesis and Dissertation post-2024

LiDAR technology plays a key role in enabling intelligent perception across urban systems. Its ability to capture accurate 3D data regardless of lighting conditions makes it well-suited for applications in autonomous vehicles, traffic monitoring, security, and privacy-aware smart city infrastructure, offering advantages over camera-based systems in depth, precision, and reliability. However, scaling deployment faces substantial challenges due to the time, effort, and cost of gathering and labeling LiDAR data used to train and test perception algorithms. This dissertation addresses these challenges by tracing a comprehensive research trajectory from early failures to a successful, fidelity-driven solution. Initially, (1) it explores transfer …

American Muslim Women’S Experiences With Pregnancy And Childbirth In The United States Healthcare System, Salema Mohamed

Graduate Thesis and Dissertation post-2024

Muslim women adhere to specific religious beliefs and practices, which can inform their healthcare decisions and requirements during pregnancy and childbirth. Despite an increase in the Muslim population in the U.S., there is currently limited research on Muslim women's maternity care and experiences. To address the gaps in knowledge, this study explored Muslim women’s experiences with pregnancy and childbirth in the U.S. Data consists of interviews from 20 Muslim women who had pregnancy and childbirth in the U.S. A thematic analysis was used to analyze and report the findings. The findings revealed that modesty was a significant concern during pregnancy …