Digital Commons Network^™

The Fischer-Tropsch Process For Diesel Synthesis: A Literature Review, Mayanne W. Beach

GS4 Student Scholars Symposium

Currently, the global energy grid and economy is highly dependent on crude oil, coal, and other non-renewable "fossil fuels". This dependence poses a variety of problems. The consumption of fossil fuels contributes to global warming and environmental pollution, and access to these fuels is often mired in geopolitical conflict. These roadblocks have driven a growing interest in researching the production of renewable fuels. One such production method is the Fischer-Tropsch (FT) process for renewable synthesis of diesel from syngas. This review explores the FT process in detail, describing the mechanism, selectivity factors, product composition, and byproducts. The various choices of …

Assessment Of Airborne Cultural Fungi Indoors And Outdoors In A Rural Veterinary Clinic, Elena Ortez, Oluwatosin Jegede, Dorothy Seybold, Daeshjea Mcgee, Atin Adhikari, Ally Holmes

GS4 Student Scholars Symposium

Background and Objectives: Veterinary clinics can inadvertently release and propagate bacteria through several mechanisms, primarily due to contaminated surfaces, insufficient cleaning protocols, and, in some instances, direct transmission from infected animals or staff. Given that these clinics are high-traffic environments, they can serve as hotspots for clinic-acquired infections if rigorous hygiene practices are not upheld. This study evaluated airborne bacterial concentrations in different areas of a veterinary clinic compared to outdoor ambient air by calculating the indoor-to-outdoor ratios.

Methods: Airborne culturable bacterial samples were collected using a Biostage Impactor across eight internal zones including waiting areas, treatment rooms, and wards …

Ai-Powered Quantum Sensing For Non-Invasive Diabetes Monitoring System, Anichur Rahman, Airin Afroj Aishi, Md Shohel Rana

GS4 Student Scholars Symposium

Diabetes is a common disease prevalent among a large population of the world, requiring continuous monitoring of blood glucose levels to prevent severe complications of the disease. Currently, continuous glucose monitoring technologies often use invasive and minimally invasive sensors that are not only uncomfortable for the patient but also limit the usability of the device. This project aims to explore cutting-edge technology for continuous glucose monitoring through the fusion of artificial intelligence techniques and novel quantum sensing technologies. A novel framework is proposed for the fusion of machine learning techniques with novel quantum-inspired sensing techniques to improve the accuracy of …

Leveraging Agentic And Generative Ai For Intelligent Global Market Analysis, Anichur Rahman, Airin Afroj Aishi, Md Shohel Rana

GS4 Student Scholars Symposium

Global financial markets produce enormous amounts of structured and unstructured data on a per-second basis. The data is comprised of economic data, news feeds, social media data, and geopolitical data. Traditional approaches to financial market analysis have difficulties integrating these data sources and adapting to the changing global environment. This project aims to create a novel framework for autonomous financial market intelligence using Agentic AI and Generative AI technologies. Agentic AI is an emerging technology that allows for the creation of autonomous decision-making agents. The agents can be programmed to continuously monitor and analyze data sources, detect emerging trends, and …

How Is The Use Of Ai Impacting Nursing Students Education?, Lorna H. Strain

GS4 Student Scholars Symposium

The use of Artificial Intelligence (AI) in education is rapidly increasing and reshaping how nursing students learn and engage with content. This thesis proposal takes a look at the impact of AI on the education of nursing students and explores students' perceptions of its use in their learning and education. As AI becomes more prevalent, many students are using it for study aids and content personalization, while schools are using it in simulations and textbook platforms. Many recognize its benefits, such as enhanced critical thinking, improved accessibility of materials, and more immersive learning. Concerns persist around ethical use, academic integrity, …

Comprehensive Characterization Of Lake Floor Sediments, Clarks Hill Lake, Southeastern Usa., Oluwatunmise Emmanuel Akanmu

GS4 Student Scholars Symposium

Oluwatunmise Akanmu¹, Aguinaldo Silva², Jéssica Franzon Cruz Santo³, Edward L. Lo^1,4

¹School of Earth, Environment, and Sustainability, Georgia Southern University

2Faculty of Engineering, Federal University of Mato Grosso do Sul

3Faculty of Data Science, SENAI São Paulo

4Institute of Water and Health, Georgia Southern University

Sediment geochemistry plays a fundamental role in regulating nutrient availability, cycling organic matter, and moderating primary productivity in aquatic systems. The Clarks Hill Lake (J. Strom Thurmond Reservoir) is a temperate reservoir filled in 1952 along the Savannah River, which forms the Georgia–South Carolina state line. The …

Machine Learning-Based Defect Identification Using Resonant Ultrasonic Spectroscopy, Abigail Richard

GS4 Student Scholars Symposium

Resonant ultrasonic spectroscopy (RUS) is a common non-destructive testing (NDT) technique that is used for quality assessment of the parts and components in various applications. RUS is performed by exciting samples by an external load and capturing its vibrational frequencies to be analyzed and find irregularities to classify parts. RUS has been investigated to test additively manufactured Inconel 718 samples for the feasibility of accurate quality assessment. Frequency and amplitude data was collected, transformed using z-score normalization and then analyzed using different classification algorithms. Machine learning algorithms has been deployed for defect classification of good and bad samples. These findings …

Project Akira: Data Mining And Merging, And Training A Custom-Built Gpt To Produce Therapist-Like, Ethically Coherent Responses, Rocco Moore, Joshua Farara

GS4 Student Scholars Symposium

Numerous artificial intelligence GPT models are trained on various language dataset types, including ethical and mental health dialogue, to produce ethically coherent responses, and these datasets are opened and merged together via the efficient processes of data mining and data merging. To explore how companies such as OpenAI and Microsoft achieve these goals, we implemented our own custom-built GPT, named AkiraGPT, which has recently and historically had issues generating ethical responses, simulating self awareness, and has sometimes generated incomprehensible, contextually irrelevant responses. In addition to that, AkiraGPT would sometimes have it's responses be "cut off." 

Our goal with our research …

2026 Conference Program, Georgia Southern University

GS4 Student Scholars Symposium

Conference Program

Neurosplit: Differentiating Adhd And Early Alzheimer’S Using Eeg Biomarkers, Nithish Kumar Navaneethakrishnan

GS4 Student Scholars Symposium

Electroencephalography (EEG) is a powerful and noninvasive technique of neurophysiological recording and biomarkers of cognitive impairment. Attention Deficit Hyperactivity Disorder (ADHD) and Alzheimer's Disease (AD) are two extreme poles of the neurological impairment: one developmental and one degenerative, but they have similar behavioral and cognitive traits that make it more difficult to distinguish them. The paper provides a comparative model of distinguishing the EEG patterns of ADHD and Early Alzheimer's Disease based on spectral analysis and feature learning using deep learning. The methodology includes strict preprocessing, such as band-pass filtering, segmentation, and normalization, estimation of power spectral density, and calculation …

2026 Conference Program, Georgia Southern University

GS4 Student Scholars Symposium

Conference Program

The Mosaic, Georgia Southern University

George-Anne Media Group: Newsletters & Magazines

No abstract provided.

Midweek Memo, Georgia Southern University

Midweek Memo

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The George-Anne Daily, Georgia Southern University

George-Anne Media Group: Newsletters & Magazines

No abstract provided.

Messages From The Provost, Georgia Southern University

Messages from the Provost

• Message from the Provost
• Where Care Meets Impact
• Where Students Lead
• Where Innovation Takes Flight

The Mosaic, Georgia Southern University

George-Anne Media Group: Newsletters & Magazines

No abstract provided.

Midweek Memo, Georgia Southern University

Midweek Memo

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Precision Or Invasion? Mapping The Personalization Paradox, Shyamala N. Chalakudi, Gnana Bharathy

Journal of Applied Marketing Theory

AI-driven personalization has transformed consumer engagement, yet existing research offers no systematic way to determine when personalization shifts from helpful to intrusive. Current research and models explain privacy concerns or expectancy violations but do not measure the point at which personalization triggers user discomfort, creating the personalization paradox. This study introduces the Discomfort Threshold Assessment & Measurement (DTAM) framework, a conceptual model that identifies and evaluates this threshold by integrating Dual Process Theory, Expectation Violation Theory, and Privacy Calculus Theory. DTAM distinguishes between affective discomfort reactance and cognitive discomfort reactance and outlines how these constructs could, in future empirical studies, …

Navigating The Ai Classroom: Integrating Ai In Education For Enhanced Learning And Career Readiness, Katryna M. Johnson

Journal of Applied Marketing Theory

This study employs an innovative approach by integrating AI and human endeavors in the research process. The examination provides a literature review and theoretical frameworks for integrating AI in education, focusing on three key stakeholder groups: students, faculty, and institutions. The analysis explores the benefits and challenges of AI in the classroom from each group’s perspective. The paper emphasizes hands-on AI experience for marketing students to remain competitive. The paper provides practical tips and suggestions for using AI in marketing classes and creating an institutional environment to support long-term AI growth. Additionally, the study presents widely used AI tools in …

Integrating Artificial Intelligence Into Marketing Education: A Conceptual Framework For Curriculum Enhancement, Aisha Ghimire, Gallayanee Yaoyuneyong

Journal of Applied Marketing Theory

This paper introduces a Constructivist–Experiential GenAI Integration Framework to embed Generative AI (GenAI) across undergraduate marketing curricula. Grounded in constructivist and experiential learning theories, the framework positions GenAI as a learning partner, through hands-on, reflective, and ethically informed learning. Discipline-specific vignettes illustrate how GenAI can enhance marketing courses through accessible and scalable activities that align with diverse class sizes, institutional resources, and delivery modes. By leveraging freely available GenAI platforms, the model promotes inclusivity while cultivating AI literacy, ethical reasoning, and strategic agility. The paper concludes with recommendations for empirical validation and cross-institutional collaboration to ensure that GenAI-driven marketing education …

Midweek Memo, Georgia Southern University

Midweek Memo

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Beyond The Launch: Designing Integrated Marketing Communications Across The Publishing Lifecycle, Philip J. Boutin Jr.

AMTP Proceedings 2026

This paper advances a lifecycle view of integrated marketing communications for book publishing and specifies a practical model beyond launch. We present the Lifecycle IMC in Publishing (L-IMC) framework with four layers—strategic capability, orchestration, phased execution (pre-launch, launch, post-publication), and measurement/learning—grounded in evidence on carryover, cross-media complementarity, discoverability, and the creator economy. Seven propositions predict that lifecycle consistency, coordinated post-publication activity, metadata priming, creator–title fit with clear disclosures, network-aware seeding, continuous testing, and reserved reinforcement budgets improve visibility, conversion, and returns. Design principles include codified message architecture and governance, a vetted creator bench, managed discoverability, sequencing high-trust signals before conversion …

Experiential Learning In Marketing Education: Student Reflections In A Client Based Project, Samit Chakravorti

AMTP Proceedings 2026

This paper explores student experience with a client based project in an upper division marketing class and its impact on development of work readiness skills, learning and satisfaction with the course. The client was a local small business food cooperative. Student reflection papers submitted at the end of the project were content analyzed based on preset categories to understand the impact of the project on the outcome variables. Analysis shows that for most students the project was interesting, relevant but challenging, increased their satisfaction and enjoyment of the course, and positively impacted learning of profession specific and foundational work ready …

Ai-Based Multi-Dimensional Coding Of Cancel Culture: Opportunities And Limits Of Llm-Based Categorization, Sairah Abraham, T. Andrew Poehlman

AMTP Proceedings 2026

Large-scale qualitative coding is a bottleneck in marketing research, especially for complex, multi-level phenomena like corporate cancel culture. This paper uses over 100 well-known cancellation events as a testbed to evaluate whether GPT can act as a reliable, low-cost “independent rater” for rich categorical schemes. We develop a multi-dimensional coding framework (trigger locus, controversy source, social issue, moral foundation, and target level) and implement a staged GPT pipeline: zero-shot prompts benchmarked against human “gold standard” coders, scaled to larger samples, then extended with few-shot prompting and fine-tuning for harder constructs such as moral foundations. We compare GPT variants and roles, …

A Model For Professional Organization Membership Support: Trust, Commitment, Membership Value, And Relationship Quality Commitment, Shawn F. Clouse, Nader H. Shooshtari, Simona Stan, Liz Kohl

AMTP Proceedings 2026

Members of professional associations join these organizations for reasons that include benefits and services to members, advocacy and lobbying on behalf of members and their interests, networking opportunities, and a sense of community and identification with fellow association members. Members are likely to commit to the association and remain as members to the extent they are satisfied with what the association provides and if they perceive the benefits to exceed the costs (not just monetary) of membership. This survey of members of a professional association investigates the relationship between trust, relationship quality commitment, membership dues value and commitment (normative, affective, …

When Faces Do Not Help: Visual Design And Engagement For B2b Technology Brands On Instagram, Ali Jamei, Sima Sabahi

AMTP Proceedings 2026

Firms increasingly use visual content on social media to connect with customers, yet most evidence on what drives engagement comes from consumer or personal contexts. This study examines how simple visual features in Instagram photos posted by B2B technology brands relate to engagement, interpreted through processing fluency. The dataset contains 600 photos from 30 B2B technology brands. For each image, we record likes and comments, collect brand and post level metadata, and use Microsoft Azure computer vision tools to detect faces, classify their age group and gender, and identify the dominant background color. Negative binomial models show that the presence …

Transactional Platforms Under Goal Duality: Managing Tensions With Coordination Strategies, Nikolina Koporcic, Vesna Damnjanovic, Johan Frishammar, Vinit Parida

AMTP Proceedings 2026

While traditional transaction platforms like Airbnb emphasize economic value creation, some emerging platforms increasingly strive to pursue both economic and social goals. Balancing these dual goals creates tensions, especially in resource-constrained contexts, requiring innovative coordination strategies. Drawing on collective action theory and platform literature, we investigate how four start-up platforms pursuing dual goals manage these tensions. Using case study data from 64 interviews and extensive secondary sources, we identify six core tensions related to mission, user inclusion, scalability, operational control, community engagement, and stakeholder communication. We demonstrate how three key coordination strategies—framing, convening, and multivocality—help alleviate these tensions. Our study …

Consumer Insights About Wood Pellets And The Heating Industry, Marlana Krug, Camille Gagnon, Harrison Synder, Ashton Rounsley

AMTP Proceedings 2026

This study investigates consumer purchasing behaviors and decisions within the wood pellet and heating industry with a focus on Central Pennsylvania. Research examined the decisions behind heating sources, pellet retailers, and pellet vendors. These findings are focused on understanding the purchasing habits of consumers, preferred retailers, and other considerations that influence pellet choice. Gaining an understanding of these purchasing choices and heating options is essential for improving marketing strategies. The Customer Engagement Theory served as the theoretical framework for this research, while the survey used quantitative questions to conduct and gather data on household decision-making.  Overall, the findings highlight the …

Deploying Root-Cause Analysis (Rca) Agents: An Implementation Blueprint For Ai-Augmented Marketing Analytics, Seojoon Oh

AMTP Proceedings 2026

Artificial intelligence is widely adopted in marketing, yet many organizations struggle to translate analytical outputs into timely action. This paper presents a practitioner-oriented blueprint for deploying root-cause analysis (RCA) agents within AI-augmented marketing analytics systems. We propose a three-layer reference architecture—semantic data layer, autonomous RCA agent, and action layer—that enables continuous anomaly detection, causal diagnosis, explanation generation, and recommendation delivery. Through simulated e-commerce use cases, we demonstrate how RCA agents identify performance disruptions such as email engagement declines and checkout failures, and translate diagnostic findings into actionable guidance. Beyond system design, we outline organizational workflows, trust-building validation loops, scalability pathways …

On The Extreme Complexity Of Certain Nearly Regular Graphs, Gregory P. Constantine, Gregory C. Magda

Theory & Applications of Graphs

The complexity of a graph is the number of its labeled spanning trees. It is demonstrated that the seven known triangle-free strongly regular graphs are graphs of maximal complexity among all graphs of the same order and degree; their complements are shown to be of minimal complexity. A generalization to nearly regular graphs with two distinct eigenvalues of the Laplacian is presented. Conjectures and applications of these results to biological problems on neuronal activity are described.