Digital Commons Network^™

Ecosystem Of The Loch Ness Monster, Ava Bauch, Cami Mayo, Sean Savage

OER Materials

This lesson plan provides an engaging interdisciplinary learning experience for fourth-grade students by combining language arts and science through the theme of the Loch Ness ecosystem. Using the 5E instructional model students build understanding of ecosystems, food webs, and informational text comprehension. The lesson aligns with standards focused on making inferences with text evidence and constructing arguments about how plants and animals use structures for survival, growth, and reproduction. Students begin by analyzing an image of the Loch Ness Monster and discussing what they see, think, and wonder. This introductory activity activates prior knowledge from earlier lessons while encouraging curiosity …

Film For Jeanette, Brice Goldberg

Theses and Dissertations

Film for Jeanette is an experimental documentary concerning grief, memory, and what remains of those who have left this physical plane. The film paints the portrait of my late sister, Jeanette Lee Goldberg, who died in a car accident when she was 19. What begins as a memorial becomes a celebration of her life and an exploration into the complexities of her character that led to her death. Jeanette’s story is told through interviews with family members, while the visuals, created with various alternative 16mm film techniques, depict my own journey through the filmmaking process. I was only 3 when …

Digitalisation In The Voluntary Sector: An Empirical Study On The Determinants Of It Acceptance, Deniz Dogu

School of Engineering, Computing and Mathematics Theses

Digitalisation represents a major societal trend that drives economic and social trans-formation by increasingly embedding digital information and communication techno-logies (ICT) into processes, interactions, and everyday activities across all domains of life. However, the voluntary sector has yet to fully embrace ICT. The extent to which volunteers integrate digital tools depends on factors such as technical infrastructure and willingness to adopt IT. Research in this area remains limited, and findings are often difficult to transfer across different national contexts. This PhD research addresses the gap in understanding IT acceptance in volunteering, using Germany as a case study. A comprehensive literature …

Optimisation Of Application Distribution For Heterogeneous Multi-Access Edge Computing Environments, Harald Frank

School of Engineering, Computing and Mathematics Theses

Mobile networks have evolved from pure transport networks for voice, text andimage data to multifunctional data processing platforms. This goes hand in handwith the change from manufacturer-dependent, hardware-based systems tovirtual infrastructure environments based on standard systems.This paradigm shift creates completely new possibilities for functionalities andservices which was not able with the old architecture. On the other hand, theongoing development of the mobile networks with its virtual platforms generatesnew challenges which must be analysed and solved.While the demands on the new functionalities and services are increasing, theend-user device also become more powerful. The combination of end-userdevice mobility, limited resources at the …

Towards An Evaluation Of The Business Value Of Ai: A System Dynamics Approach, Ganesh Sankaran

School of Engineering, Computing and Mathematics Theses

In the early 2010s, when Artificial Intelligence (AI) emerged from the latest "winter" of disillusionment, discussions about its use in decision-making tended to be dichotomous: humans or AI. More recently, consensus has shifted toward a complementary humans-and-AI perspective, recognising that augmentation, not substitution, is the more appropriate frame for AI's role in the foreseeable future. This shift foregrounds the challenge of evaluating outcomes in collaborative decision-making contexts.The thesis proposes a simulation-based framework, drawing on system dynamics, to evaluate whether complex, time-varying interactions between humans and AI agents result in collectively rational behaviour. The framework extends the observation of dynamic complexity …

Applications Of Evolutionary Algorithms In Wind Farm Layout Optimisation, Pawel Manikowski

School of Engineering, Computing and Mathematics Theses

The transformation from fossil fuels to renewable energy is gaining momentum. Countries worldwide are investing significant funds and resources in this shift. The motivations for this change include political, environmental, and social factors, among others. In the UK, which is surrounded by the ocean and experiences strong winds, offshore wind farms are seen as the most viable source of renewable energy. It is anticipated that by 2030, all electricity in the UK will be generated by wind turbines. Hence, the optimisation of the wind farm layouts is the desired direction of research in the UK.In Chapter 3, we discussed the …

The Composition Of Gases From A Diffusion Flame Above Longleaf Pine Needle Fuel Beds, David R. Weise, Thomas H. Fletcher, Timothy J. Johnson, Weimin Hao, Russell G. Tonkyn, Catherine A. Banach, Javier Palarea-Albaladejo, Mahsa Alizadeh, Stephen Baker

Faculty Publications

The gas and tar composition of a wildland fire diffusion flame from longleaf pine needles is currently relatively unmeasured and more data are needed to fill in the gap between pyrolysis data and smoke plume data, thus improving physical and chemical modeling of wildland smoke formation. A pilot experiment to measure light gas and tar composition of such a flame is described for three flame zones: persistent flame (flame base), intermittent flame, and smoke plume. Flame gases from 24 experimental fires were collected in canisters and analyzed for CO2, CO, H2, CH4, and C2 to C7 hydrocarbon gases. Other light …

Efficiently Stowed Flashers With Uniform-Thickness Panels Based On Non-Developable Origami, Larry L. Howell, Robert J. Lang, Specer P. Magleby, Davis Wing

Faculty Publications

We present the mathematical construction of a deployable flasher pattern with near-uniform nonzero thickness in the deployed form and efficient face-to-face packing in the stowed form. We demonstrate its fabrication, deployment, and stowage. The results facilitate the design and manufacture of deployable systems with panels whose substantial thickness is dictated by the end application, with particular utility for space systems.

2026 Spring Commencement, Georgia Southern University

Commencement Programs

No abstract provided.

Reframing Narratives, Reclaiming Futures: Antiracist School Counseling And Black And Brown Girls In Stem, Renae D. Mayes, Lia D. Falco, Shontell Zenon, Dequindre Hughes, Yijia Chen, Lydia Ross, Medha Dalal

Journal of College Access

Black and Brown girls often have educational experiences that stifle their career aspirations, especially in STEM fields. These experiences can be exacerbated by educators who misunderstand and refuse to recognize their STEM potential, thus limiting their opportunity to build STEM identities. School counselors can disrupt these experiences through antiracist practices that cultivate homeplace and joy for Black and Brown girls to heal and grow while working to address harmful policies and practices. In this paper, authors discuss how school counselors can specifically use antiracist school counseling practices to support Black and Brown girls in STEM as a part of multi-tiered …

Assessing Flood Resilience In West Virginia Communities: Integrating Physical, Institutional, Socioeconomic, And Environmental Dimensions, Anahita Mahmoudi

Graduate Theses, Dissertations, and Problem Reports (ETD)

Flooding is one of the most frequent and damaging natural hazards in the United States, with impacts expected to intensify under changing climate conditions. In regions such as West Virginia, complex terrain, development patterns along river corridors, and socioeconomic disparities contribute to elevated flood risk. Traditional approaches to flood risk assessment often focus on single dimensions of vulnerability or rely on binary floodplain maps, which do not fully capture the spatial variability and multidimensional nature of flood resilience.

This dissertation develops an integrated, community-scale framework for assessing flood resilience in West Virginia by combining physical, environmental, institutional, and socioeconomic dimensions …

Bridging Physics-Based Modeling And Machine Learning To Predict Material Behavior: Applications In Fatigue Crack Growth And Dielectric Property Characterization, Ansan Pokharel

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation integrates physics-based modeling with machine learning (ML) to predict how materials behave under complex thermal and mechanical conditions. A key innovation of this work is the use of finite element analysis (FEA) to supplement experimental data. This approach creates more diverse and representative synthetic datasets, helping to reduce the limitations and biases that arise when training ML models solely on experimental measurements. The research focuses on two applications: improving the prediction of fatigue properties in superalloys and estimating temperature-dependent, high-frequency dielectric properties relevant to microwave-based chemical processing.

In the first study, low-cycle fatigue experiments were performed on the …

Statistical Analysis Of Evidence In Criminal Cases, Giuliana Leon Carrillo

Graduate Theses, Dissertations, and Problem Reports (ETD)

Ideally, the evaluation of relevant forensic evidence must corroborate the hypotheses that the prosecution and/or the defense holds regarding the commitment of a crime. Therefore, optimal forensic evidence would be the one that can be found all the time under the same circumstances, and cannot be found otherwise, making the forensic scientist able to evaluate this evidence given the hypotheses provided. Nevertheless, this is hard to find, as ideal evidence being only a concept.

In this project, the probabilistic interpretation of relevant forensic evidence investigated in criminal cases with the aid of Wigmore charts and Bayesian networks was proposed. Using …

A Digital Calibration Source For 21 Cm Cosmology Telescopes, Kalyani Balkrishna Bhopi

Graduate Theses, Dissertations, and Problem Reports (ETD)

Precise calibration of radio telescope beams and gains is a central requirement for 21 cm intensity mapping experiments, which aim to measure large scale cosmological structure through the redshifted emission line of neutral hydrogen. Bright astrophysical foregrounds dominate the sky at these frequencies, and separating them from the cosmological signal demands precise control over instrumental systematics, particularly the telescope beam and its frequency-dependent response. Existing aerial calibration sources are incoherent broadband emitters, detectable only as total power. They provide no direct phase information and suffer from poor sensitivity in low signal-to-noise regimes.

We present the Precision Emitter for 21cm Array …

Global Weak Solutions Of Optical Variational Wave System, Shahrazad Hamed Alnafie

Graduate Theses, Dissertations, and Problem Reports (ETD)

                                                       ABSTRACT

                   Global Weak Solutions of Optical Variational Wave System

                                        Shahrazad Hamed Mahal Alnafie

The coupling of a variational wave equation with Maxwell’s equations gives rise to the optical variational wave system, a hyperbolic PDE system that models the director field of the nematic liquid crystals. This system presents unique analytical challenges that have not been addressed in the existing literature. In this dissertation, we study the one-dimensional case of this system.

We establish the global existence of conservative weak solutions to the associated Cauchy problem. The hyperbolic system is derived using the energy variational method. Through a sequence of suitable …

A New Parsimony-Based Method For Reconstructing Sequences Of Developmental Events And Estimating Rates Of Intraspecific Variation, With Applications To Trilobites, Alexander Benjamin Bradley

Graduate Theses, Dissertations, and Problem Reports (ETD)

Ontogenetic Sequence Analysis (OSA) is a method for reconstructing multiple sequences of abrupt phenotypic transformations (developmental events) for sampled populations of any kind of organism. It makes use of cladistic parsimony software to produce a network, or graph, whose vertices represent unique phenotypes at different stages of maturity (“semaphoronts”) and whose edges describe the developmental events occurring between semaphoronts. It is a powerful tool for constraining the range of developmental variation possible for a given species and generating sample statistics capable of identifying both the most common and the outlier ontogenetic sequences. However, OSA has seen little use since its …

Swarm Of One: Self-Organization In Multicellular Robots, Trevor Riley Smith

Graduate Theses, Dissertations, and Problem Reports (ETD)

Designing robots traditionally relies on centralized, top-down methods that constrain adaptability and resiliency, producing systems optimized for specific tasks. However, such systems often fail in complex environments, such as extraterrestrial, disaster, or natural settings, where designers cannot foresee every scenario a robot may encounter. Achieving autonomy in these contexts requires robots that are resilient and capable of adapting to the unknown. Multicellular organisms exhibit this adaptability through self-organization, where complex structures and behaviors emerge from local interactions among their cells. Such organisms can be viewed simultaneously as a single entity and a swarm of cooperating cells, i.e., a Swarm-of-One.

This …

Development Of Novel Methods For Investigative Leads In Firearm And Explosive Related Incidents, Addio Joseph Fiordigigli Jr.

Graduate Theses, Dissertations, and Problem Reports (ETD)

Criminal outbreaks and gun violence persist as a multifaceted global crisis, marked by escalating rates of homicide, suicide, and terrorism that destabilize communities and strain public resources. The proliferation of illicit firearms and homemade explosive devices, along with the complexity of modern criminal networks, necessitates innovative scientific tools to strengthen preventive intelligence operations and ensure that the legal process is grounded in physical evidence. More efficient detection of traces left behind at a crime scene can help prevent further harm or injury from follow-up attacks. This study aims to develop and evaluate new triage methods for characterizing gunshot residues (GSR) …

New Fossil Mygalomorph Spiders (?Idiopidae, Pycnothelidae) From The Lower Cretaceous Crato Formation Of Brazil, Elis Maria Gomes Santana

Graduate Theses, Dissertations, and Problem Reports (ETD)

The infraorder Mygalomorphae represents one of the earliest-diverging lineages of spiders, but its fossil record remains sparse relative to the modern diversity of the group. This is a reflection of both ecological and preservational biases, such as the predominantly fossorial habits of many mygalomorphs and the strong bias of the spider fossil record toward amber deposits. Compression fossils from rock deposits are therefore especially important for documenting the evolutionary history of the group. Here, two new mygalomorph fossils from the Lower Cretaceous Crato Formation, Araripe Basin (Brazil) are described. The first specimen is tentatively referred to ?Idiopidae based on male …

Development And Validation Of A Multi-Output Neural Network-Based Virtual Temperature Sensor For Electric Vehicle Thermal Management, Dalton Michael Wiggins

Graduate Theses, Dissertations, and Problem Reports (ETD)

Battery electric vehicles (BEVs) rely on accurate thermal management to ensure component performance, efficiency, safety, and long-term durability. Critical propulsion system components, including electric motors and high-voltage battery packs, are commonly monitored using physical temperature sensors. However, these sensors increase system cost, introduce additional hardware complexity, and may be impractical for directly measuring temperatures at critical internal locations. Virtual temperature sensors (VTSs) provide a software-based alternative by estimating component temperatures using readily available vehicle operating data.

This research presents the development and validation of a long short-term memory (LSTM) neural network-based virtual temperature sensor capable of simultaneously estimating the motor …

Multiphysics Modeling Of Microwave-Assisted Calcination Of Soec Perovskite Precursors, Hongwei Liu

Graduate Theses, Dissertations, and Problem Reports (ETD)

The calcination of precursor powders is a critical step in the synthesis of solid oxide electrolysis cells (SOECs), where phase purity and microstructural control directly influence electrochemical performance. Conventional calcination methods are energy-intensive and time-consuming, often requiring prolonged high-temperature processing. In this thesis, microwave-assisted calcination is investigated as an alternative approach to enable rapid, energy-efficient processing of SOEC per- ovskite precursor powders. Microwave heating offers distinct advantages, including volumetric and selective heating, reduced processing times, and improved energy utilization compared to con- ventional thermal methods. A multiphysics modeling framework is developed, which integrates electromagnetic wave propagation, governed by Maxwell’s equations, …

Computer Vision Methods For Rfi Segmentation In Radio Astronomy, Yechan Kweon

Graduate Theses, Dissertations, and Problem Reports (ETD)

Radio Frequency Interference (RFI) increasingly contaminates the radio astronomy spectrum, often exceeding astronomical signal amplitudes by 50–70 dB. Reliable detection and mitigation are therefore essential for studies of faint transient phenomena such as pulsars and fast radio bursts (FRBs). Existing practical methods including Spectral Kurtosis (SK), Median Absolute Deviation (MAD), and SumThreshold perform well in many settings but depend on assumptions about the RFI environment and data statistics, limiting their effectiveness for weak, broadband, or nonstationary interference.

We develop a transform based RFI detection method that requires no prior knowledge of the RFI origin or type. The method operates on …

Semantic-Weighted Lidar–Camera Slam For Robust Mapping In Vegetation-Rich Environments, David Aigbovboise Akhihiero

Graduate Theses, Dissertations, and Problem Reports (ETD)

Many LiDAR odometry and SLAM methods are lightweight and effective, but they assume that all LiDAR point returns are equally reliable. In practice, this assumption is often violated in vegetation rich or semi transparent environments, where in a single beam footprint, LiDAR beams may intersect multiple scattering surfaces like leaves, branches or glass. These ambiguities in returns produces probabilistic or biased range measurements that violate the assumptions of most geometric registration frameworks and can lead to drift and inconsistency.

To address this challenge, this dissertation proposes a semantic-weighted LiDAR-camera SLAM framework that integrates class dependent weights into a front-end LiDAR …

Essays On Public Policy, Labor Markets, And Regional Economics, Toby Heaney

Graduate Theses, Dissertations, and Problem Reports (ETD)

This dissertation consists of three empirical essays examining how economic and political outcomes respond to changes in public policy, information, and local economic conditions. Across the three studies, the dissertation applies empirical methods to questions in political economy, economic forecasting, and regional economics, with particular attention to how the effects of economic shocks and policy changes vary across individuals, markets, and geographic areas.

The first essay examines the role of policy salience in electoral outcomes. Building on rational-choice and median-voter models, it argues that voters may respond disproportionately to policies that impose concentrated and highly visible costs, even when those …

Comparing Unet And Hrnet For Geomorphic Feature Extraction From Digital Terrain Model-Derived Land Surface Parameters, Behnam Solouki

Graduate Theses, Dissertations, and Problem Reports (ETD)

Automated extraction of geomorphic features from high spatial resolution terrain data is important for environmental monitoring, geohazard assessment, and landscape change analysis. This study compares two convolutional neural network architectures, UNet and High-Resolution Network (HRNet), for semantic segmentation of mine benches and sinkholes from lidar-derived digital terrain models and land surface parameters. Mine benches represent anthropogenic, elongated, stepped landforms associated with historic surface mining, whereas sinkholes are natural, compact depressions common in karst terrain. Three terrain-derived input layers were used: square-root-transformed slope, broad-scale topographic position index, and fine-scale annulus topographic position index. Models were trained using five training sample sizes, …

Timing, Spectral, And Single-Pulse Properties Of Radio Pulsars, Evan Francis Lewis

Graduate Theses, Dissertations, and Problem Reports (ETD)

Radio pulsars are highly magnetized, rapidly rotating neutron stars which emit beams of radio waves from their magnetic poles. Their incredible rotational stability allows for their use in a variety of high-energy astrophysical studies, though the details of their internal structure and emission mechanisms are still unknown. We use observations of a cross-section of the pulsar population in order to investigate the nature of their evolution, their emission properties, and their environments.

First we derive timing solutions for three pulsars discovered through their sporadic single pulses. It was possible to obtain timing solutions through a set of single-pulse times of …

Unsuccessful? Universal Human Rights And The United Nations: Russian Imperialism In Ukraine And The Post-Udhr International System, Sofiia Novytska

Graduate Theses, Dissertations, and Problem Reports (ETD)

Human universality has always stood as a controversial subject and remains politically contentious today. Following the humanitarian crisis of World War II, the international community was determined to protect the integrity and dignity of people worldwide by developing the United Nations’ Universal Declaration of Human Rights. However, universal human rights were not invented by the Declaration and were already conceptually established in global ancient thought, further evolved into Early Modern scholarship, and later paved the way for modern humanitarian frameworks. The UDHR was not universally well-received, and was criticized for its revolutionary legal character, postcolonial contestation, and practical ambiguity. The …

Statistical Quality Control: A Bayesian Framework, Jakia Jaber Tunal

College of Graduate Studies: Theses & Dissertations

In many industries, it is important to assess whether a machine or system is operating within acceptable limits or has gone out of control. This project applies Bayesian statistics to monitor a process over time and detect changes in its behavior. First, initial data are collected to understand the system’s typical performance and to form a starting prior distribution. As new observations arrive over time, the prior is updated through Bayesian inference, combining past information with incoming data. This iterative updating creates a continuous monitoring framework that adapts as more evidence becomes available. When the updated results suggest that the …

Evaluating Source Material And Seed Propagation Techniques For Spartina Alterniflora To Enhance Salt Marsh Restoration In Coastal Georgia, Maygan Palacios

College of Graduate Studies: Theses & Dissertations

Salt marshes provide critical ecosystem services, including carbon sequestration, flood attenuation, and habitat for diverse aquatic and terrestrial species. Despite their ecological importance, these habitats are increasingly threatened by anthropogenic activities and rising sea levels. To protect and restore salt marshes and their ecosystem services, restoration efforts using living shorelines (LS) have become more common. Along the Eastern and Gulf coasts of the United States, the native grass Spartina alterniflora is commonly used in LS installations for its key role in salt marsh food webs, resilience to abiotic stress, and ability to stabilize and build sediment. Previous studies have documented …

Sedimentological And Geochemical Investigation Of The Origin Of Upper Pennsylvanian Black Shales, East-Central Appalachian Basin, Tyler Hickey

Graduate Theses, Dissertations, and Problem Reports (ETD)

In the east-central Allegheny foreland basin, laminated black shales overlying Upper Pennsylvanian Glenshaw Fm. coal seams record paleoenvironmental conditions associated with the termination of peat swamp deposition before, during, and after the Carboniferous Coal Forest Collapse (CCFC), a major paleobotanical evolutionary event during the Late Paleozoic Ice Age (LPIA) that contributed to extinction of lepidodendrons near the Desmoinesian-Missourian boundary (~306 Ma). Previous investigations of the CCFC commonly implicate an episode of aridification during intensification of LPIA glaciation that stressed the lepidodendrons beyond their ecological tipping point; however, the cause of this aridification is unclear. An investigation of Glenshaw Fm. black …