Digital Commons Network^™

Deconstructing Digital Disinformation: Social Media Data Preparation And Analysis For Healthcare Research, Russell W. Cantrell, Matt Campbell

Shelby Hall Graduate Research Forum Posters

The spread of medical misinformation poses significant threats to public health, healthcare system stability, and the quality of patient care. Our research examines misinformation targeting the U.S. healthcare system. It uses a mixed-methods approach that includes social media data analysis, surveys of practicing nurses, and agent-based simulation. This poster focuses on the initial phase, which attempts to detect potential misinformation and disinformation by analyzing patterns in social media posts and user account behaviors. A detailed account of the data preparation process lays the groundwork for examining how disinformation operates online. This phase draws on the Pushshift repository, which offers historical …

Detecting Sensor Data Manipulation, Ricky Green, Michael Black

Shelby Hall Graduate Research Forum Posters

The integration of Information Technology (IT) and Operational Technology (OT) have made OT devices vulnerable to threats that have been successfully exploited with devastating results. Many modern techniques for hardening and securing enterprise IT systems are either incompatible with OT components in an Industrial Control System (ICS), reduce the efficiency of processes, or are prohibitively expensive to implement. Research in the area of ICS security focuses on a top-down approach, such as intrusion prevention by securing the perimeter of the network at layers 3 – 5 of the Purdue model by hardening IT systems. This approach is useful in Enterprise …

Calibration Of Time-Domain Impedance Probe (Tdip) To Investigate Space Plasma Dynamics During Periods Of Ionospheric Instability, Piyas Chowdhury, Soumyajit Dey, Edmund A. Spencer

Shelby Hall Graduate Research Forum Posters

The traditional Plasma Impedance Probe (PIP) is popular for diagnosing parameters of the ionospheric plasma to study the space environment. However, the resolution of data measurements of existing PIP instruments, operating at higher frequencies, limits the analysis to studying the plasma features at electron scales. Studying plasma ion parameters is essential to understanding the ionospheric instability growth rates. This can only be accomplished by operating a diagnosing instrument at lower frequencies corresponding to ion scales. A recently developed Time Domain Impedance Probe (TDIP) is implementable for fast moving spacecraft using a time domain approach. The instrument has higher measurement resolution …

Brain Computer Interfaces: Enhancing Low-Cost Eeg Performance Through Deep, Anwar Rassoul

Shelby Hall Graduate Research Forum Posters

The field of Brain Computer Interfacing (BCI) has traditionally been confined to clinical and research environments due to the high cost and complexity of medical-grade EEG systems. However, the emergence of low-cost hardware exemplified has catalyzed a shift toward accessible, portable BCI applications. While these devices lower the barrier to entry for developers and researchers, they often suffer from a lower signal-to-noise ratio (SNR). This increased noise makes it difficult to extract the clean neural signatures required for high-accuracy control, particularly when operating in non-shielded, real-world environments.

This research focuses on Steady-State Visually Evoked Potentials (SSVEP), a robust BCI paradigm …

Detecting Sophisticated Cyberattacks On Public Water Infrastructure, Ayrton Purdy

Shelby Hall Graduate Research Forum Posters

From around the globe, malicious actors continually probe critical infrastructure assets for weaknesses. Their backgrounds, goals, and motives may vary, but the purpose of their attacks is the same: to damage, undermine, or exploit the functionality of these assets [2]. At a fundamental level, critical infrastructure is any essential system and asset vital to national security. Critical infrastructure includes assets such as power, transportation, telecommunications, water and wastewater systems (WWS), and many more [3].

Ai Driven Assessment For Clinical Scenarios, Sudhanshu Tarale, Bhushan Lohar, Ninad Pandit

Shelby Hall Graduate Research Forum Posters

Beta 1 captured granular data to validate the system’s ability to measure clinical thoroughness and deliver real-time feedback. Data collection formally approved by the USA IRB (Protocol 25 037; #22849172).

Aurora – Autonomous Urban & Rural Optimization And Resilience Architecture, Ninad Pandit

Shelby Hall Graduate Research Forum Posters

Problem statement: Undetected systemic “leaks” within large-scale food distribution networks result in severe post-harvest perishable losses and critical nutrient degradation.

Algorithm For Detecting Luks2-Encrypted Containers In Forensic Images, Nicholas Flynn, Michael Black

Shelby Hall Graduate Research Forum Posters

As technology becomes increasingly integrated into daily life, the way in which society interacts with digital content continues to rapidly change. Though there is growth in advancements that help the average user, there is a similar upward trend in crimes committed involving a computer. Figure 1 illustrates the growth in research across many disciplines of digital forensics reflecting the demand for tools which can combat a wide variety of cyber crimes.In the past two decades, with a massive spike since 2017, there has been much literature produced in response to this demand. It can be inferred from the Federal Bureau …

Improving Consensus In Blockchain, Nelson Navas

Shelby Hall Graduate Research Forum Posters

Called the 4th industrial revolution, Industry 4.0 is the latest paradigm for implementing industrial applications. This new approach relies heavily on increased automation, smart machines, human-machine interaction, AI, and telecommunications. Industry 4.0 applications introduce the idea of the smart factory. The integration of information technology (IT) and operational technology (OT) is a key factor that promotes efficiency in the supply chain. All this is predicated in the generation, sharing, and storage of large quantities of data and transactions to facilitate management, traceability, and control of industrial processes. Increased reliance on interconnectedness causes cybersecurity challenges. Access to machinery, infrastructure, IT systems, …

Temporal Eclectic Rule Extraction: Exploring Trustworthy Explainable Artificial Intelligence For Recurrent Neural Networks, Micah Israel

Shelby Hall Graduate Research Forum Posters

Enhancing temporal neural network interpretability can greatly increase the effectiveness of Intrusion Detection Systems (IDS). While explainable Deep Neural Networks (DNN) have been researched heavily in the literature for intrusion detection, explainable temporal neural networks lack the same attention. Current state-of-the-art XAI techniques rely on black-box surrogate explainers, which attempt to generate post-hoc explanations without valuable information inside the model's hidden neurons. To address this, this proposal introduces a novel white-box XAI method, Temporal Eclectic Rule Extraction (TERE), which is designed to provide explainable rules directly from temporal models. TERE aims to enhance decision transparency in IDS by offering interpretable …

Machine Learning On The Edge: Performance And Security Evaluation Of Cnn Implementations In Embedded Systems, Krista Stacey

Shelby Hall Graduate Research Forum Posters

Embedded systems increasingly integrate Machine Learning (ML) for real-time decision-making across loT, infrastructure, and critical systems. However, ecosystems differ significantly in: Latency, Throughput, Energy use, Accuracy of Models Security exposure. Most research evaluates performance or security, not both together. There is a need for a unified cross-platform performance-security evaluation framework

Real-Time Simulation Analysis Of V2g Technique For Demand Response Using Survey Based Data Approach, Joseph Bentil

Shelby Hall Graduate Research Forum Posters

The demand of energy in the world concerning the power industry keeps growing even with the introduction of EVs. Traditional based demand response relies on load shedding and energy storage systems. However, EVs with their battery pack can serve as mobile energy storage systems for grid services.

Development of data-driven microgrid model using survey based vehicle data to evaluate V2G and demand side management strategies to improve grid services and test emerging artificial-based control algorithms.

Peaks Island Star : March 2026, Vol. 46, Issue 3, Service Agencies Of The Island

Peaks Island Star, 2026

The Peaks Island Star is the newsletter of the island's service agencies and other community news.

Trophic Structure And Mercury Bioaccumulation In Walleye And Yellow Perch In The Upper And Lower Red Lake Basins, Marissa Pribyl

Biology Graduate Theses

Mercury is a persistent global contaminant that biomagnifies through aquatic food webs, with dietary and environmental factors serving as the primary drivers of accumulation in fishes. Trophic structure and methylmercury dynamics in Walleye (ogaa; Sander vitreus) and Yellow Perch (asaawens; Perca flavescens) were investigated in the Upper and Lower Red Lake basins in Red Lake, Minnesota, during 2024-2025. Diets of Walleye and Yellow Perch were assessed through stomach dissections, and tissue samples from both species were analyzed for total mercury concentrations. Additional analyses included shiners (gigoozens; Notropis spp., Hudsonius spp.) along with a variety of freshwater fish and …

Corporate Labor Violations: Do Ceos’ Public Charity Affiliations Matter?, Mariem Khalifa, Mehdi Khedmati, Mohammed Aminu Sualihu, Alfred Yawson

All Works

We examine the impact of CEOs’ public charity affiliations on corporate labor violations and find that public-charity-affiliated CEOs have a lower likelihood of engaging in labor violations than their non-affiliated peers. In a disaggregated analysis, we find the result to be driven primarily by wage and hour violations. This finding is validated when we compare changes in wage and hour violations around different types of CEO turnover. We further identify the promotion of a positive corporate culture and an increase in labor-related expenditures as the main channels through which CEOs’ public charity affiliations affect wage and hour violations. In addition, …

Evolving Landscape Of Respiratory Infections And Amr In The Uae: A 12-Year Nationwide Study Of Regional Burden, Epidemiologic Trends And Policy Implications, Madikay Senghore, Jens Thomsen, Najiba M. Abdulrazzaq, Wei Chen, Eveline Kaambo, Stefan Weber, Fouzia Jabeen, Godfred Antony Menezes, Carole Ayoub Moubareck, Dean B. Everett, Abiola Senok

All Works

Objectives This study characterizes the epidemiological trends and resistance profiles of respiratory tract infections (RTIs) in the United Arab Emirates (UAE) from 2010 to 2022, aiming to inform national control strategies. Method We conducted a retrospective observational study of RTI cases across 345 UAE healthcare settings using data from the national surveillance network. Pathogen identification and resistance profiling were performed using advanced diagnostics and standardized antimicrobial susceptibility testing, in accordance with Clinical and Laboratory Standards Institute (CLSI) guidelines. Results Lower respiratory tract infections (LRI) comprised most cases (73.1%; n = 100,856), including 6416 due to Mycobacterium tuberculosis , while upper …

From Farm To Plate: Q-Analysis Of Consumer Requirements In Blockchain-Based Agri-Food Supply Chains, Pouyan Jahanbin, Stephen C. Wingreen, Ravishankar Sharma, Arnob Zahid

All Works

Blockchain platforms have revolutionized the food industry by establishing a more trustworthy supply chain. By providing a secure and open record of all transactions, blockchain technology helps improve food safety. This reassures consumers who may wish to ensure that products are guaranteed to meet certain dietary or nutritional standards. However, the adaptability of existing supply chains and consumers' full adoption of such systems remains a gap in scholarly research. This field study employs Q-methodology to explore the concourse of requirements and priorities of food consumers in blockchain-based agri-food supply chains. Abductive reasoning is utilized to elaborate on the subjective perspective …

Exploring Preservice Teachers’ Design Thinking Mindset In A Technology-Enhanced Active Learning Environment For Stem Courses, Areej Elsayary

All Works

This study explores how a technology-enhanced active learning environment, supported by interactive technologies, may influence preservice teachers’ perceptions of their design thinking (DT) mindsets in interdisciplinary STEM courses. Using a blend of digital tools and the design thinking process, the research aimed to engage students in activities that promote key DT traits, including managing uncertainty, empathy, mindfulness, collaboration, learning orientation, and creative confidence. Ninety-four preservice teachers from an early childhood education program in a UAE university participated, receiving two weeks of intensive training on digital tools (e.g., Genially, Canva, PowToon, AR/VR apps), concluding in earning an Apple Teaching Certificate. These …

Generative Ai For Text-To-Video Generation: Recent Advances And Future Directions, Kadhim Hayawi, Sakib Shahriar

All Works

Text-to-video (T2V) generation has recently emerged as a transformative technology within the field of generative AI, enabling the creation of realistic, temporally coherent videos based on natural language descriptions. This paradigm provides significant added value in many domains such as creative media, human-computer interaction, immersive learning, and simulation. Despite its growing importance, systematic discussion of T2V is still limited compared with adjacent modalities such as text-to-image and image-to-video. To alleviate the scarcity of discussions in the T2V field, this paper provides a systematic review of works published from 2024 onward, consolidating fragmented contributions across the field. We survey and categorize …

2026-03-01 Caudill Connection, Morehead State University. Caudill College Of Arts, Humanities And Social Sciences.

Caudill Connection

Caudill Connection newsletter for March of 2026.

The Filamentous Ultrastructure Of The Popz Condensate Is Required For Its Cellular Function, Daniel Scholl, Tumara Boyd, Andrew P Latham, Alexandra Salazar, Asma M A M Khan, Steven Boeynaems, Alex S Holehouse, Gabriel C Lander, Andrej Sali, Donghyun Park, Ashok A Deniz, Keren Lasker

Duncan NRI Faculty and Staff Publications

Biomolecular condensates have key roles in regulating cellular processes. Yet, the relationship between atomic features and condensate function remains poorly understood. We studied this relationship using the polar organizing protein Z (PopZ). Here, we revealed hierarchical assembly of PopZ into a filamentous condensate by integrating cryo-electron tomography, biochemistry, single-molecule techniques and molecular dynamics simulations. The PopZ helical domain drives filamentation and condensation, while the disordered region inhibits them. Phase-dependent conformational changes prevent interfilament contacts in the dilute phase and expose client-binding sites in the dense phase. Perturbing filament formation in vitro alters the dynamics of scaffold and client proteins and …

Non-Synaptic Function And Localization Of Syntaxin-Binding Protein 1 In A Mouse Model Of Stxbp1-Related Epileptic Encephalopathy, Tao Yang, Rajat Banerjee, Yamei Deng, Sheetal Jahagirdar, Joo Hyun Kim, Wu Chen, Mingshan Xue, Alexey I Nesvizhskii, Michael D Uhler, Jack M Parent, Yu Wang

Duncan NRI Faculty and Staff Publications

Objective: De novo mutations in the syntaxin-binding protein 1 (STXBP1), encoded by STXBP1, are among the most prevalent causes of variable neurodevelopmental disorders, including epileptic encephalopathy, developmental delay, and movement disorders. Although STXBP1 has been proposed as a critical presynaptic protein controlling synaptic vesicle exocytosis, clinical phenotypes also suggest that its biological function could be more diverse.

Methods: The expression pattern of STXBP1 was studied using immunostaining in vitro and in vivo. Synaptosome isolation was performed to investigate the synaptic and non-synaptic localization of STXBP1 in the brain. STXBP1 immunoprecipitation followed by mass spectrometry (MS) was conducted to identify protein …

Montana Residents’ Attitudes Towards Tourism – 2025, Carter Bermingham, Megan Schultz, Jayce Beck

Institute for Tourism and Recreation Research Publications

Montana residents maintain a broadly positive outlook on tourism, with 66% agreeing that tourism's benefits outweigh its drawbacks and 72% recognizing the economic value of state-supported tourism promotion. However, resident sentiment remains nuanced: 45% report concerns about overcrowding, and fewer than half (36%) believe increased tourism would improve their personal quality of life — a trend consistent across four consecutive years.

Regional divides are pronounced. Communities near high-visitation destinations such as Glacier National Park and Yellowstone National Park express greater skepticism toward tourism growth, while lower-visitation regions, including Central Montana, Southeast Montana, and Missouri River Country, hold more favorable views …

Beyond Artifacts And Fossils: Exploring The Contributions And Socioeconomic Impacts Of Montana’S Museums And Paleontological Tourism, Emma Keinath-Lopez, Elena Bigart, Glenna Hartman, Kara Grau, Ava Worbets, Melissa Weddell

Institute for Tourism and Recreation Research Publications

This study explores how Montana’s museums, including those along the Montana Dinosaur Trail, influence communities, economies, and visitor experiences in a post-pandemic environment. Through mixed methods—511 visitor surveys at 44 museums and 18 interviews with museum professionals— this research provides a holistic understanding of museum operations, visitor motivations, and community impacts.

Creating A News Literate Journalism: A Metacognitive Model For Journalism Practice, Patrick R. Johnson

College of Communication Faculty Research and Publications

This article introduces News Literate Journalism, a metacognitive approach that redefines news literacy as a professional competency. Drawing on interviews with 30 journalists and grounded in news literacy and educational psychology, I argue that ethical, adaptive journalism relies on reflection, regulation and critical reasoning. These behaviors, though embedded in journalistic routines, are often overlooked. The approach presents a new framework for journalism education and practice, one that promotes transparency, fosters trust and supports democratic resilience.

Age-Specific Concentrations And Seroprevalence Of Antibodies Against Salmonella Enteritidis (O:9) And Salmonella Typhimurium (O:4,5) Across Three Sites In Kenya., Esther Muthumbi, Sean Elias, Alfred Mwanzu, Agnes Mutiso, Perpetual Wanjiku, Cecilia Mbae, Godfrey Bigogo, Jennifer Verani, Stefan Flasche, Samuel Kariuki

Population Health, East Africa

Background Seroprevalence studies can indicate the age distribution of first infection with nontyphoidal Salmonella and estimate the rate of infection by age.

Method We collected 1254 paired samples of serum and stool from healthy children and adults in Kilifi, Nairobi, and Siaya counties in Kenya, areas of low, medium, and high incidence of invasive nontyphoidal Salmonella disease, respectively. We quantified the age- and site-specific geometric mean concentrations (GMCs) of IgG and IgA antibodies against S Enteritidis O-antigen (O:9, serogroup D) and S Typhimurium O-antigen (O:4,5, serogroup B) using an in-house standardized enzyme-linked immunosorbent assay. Serum concentrations were estimated against a …

Implementation And Acceptability Of A Community Based Intervention For Cervical Cancer Screening Amongst Women Of Reproductive Age In Kiambu County, Kenya, Redempta Mutisya, Eliphas Gitonga, Molly Maundu, Rosebella Iseme

Population Health, East Africa

Objective In Kenya, cervical cancer is the top cause of cancer deaths and second most prevalent cancer among women aged 15–44. Despite the existence of screening programs, only 13.8% of women participate, with nearly 50% diagnosed late. Lack of knowledge and embarrassment is linked to low uptake. Post-intervention, uptake of screening and acceptability of SMS prompts and self-sampling were evaluated.

Methods Women (18+ years), who had never screened, were randomly chosen from a pre-existing database. They received either usual care (notification of availability of screening services at public health facility), text education, or interactive in-person sessions with self-sample training.

Results …

Serotype-Specific Pneumococcal Invasiveness: A Global Meta-Analysis Of Paired Estimates Of Disease Incidence And Carriage Prevalence, Katherine Gallagher, Fredrick Odiwour, Christian Bottomley, John Ojal, Aisha Adamu, Esther Muthumbi, Eunice Kagucia, Laura Hammitt, Sergio Massora, Betuel Sigaúque

Population Health, East Africa

Background Serotype-specific estimates of pneumococcal invasiveness used in pneumococcal carriage transmission models to predict changes in disease incidence post-vaccination are largely derived from high-income settings. We conducted a systematic review of carriage prevalence and invasive pneumococcal disease (IPD) incidence to calculate case–carrier ratios (CCRs) in different income settings.

Methods We conducted a systematic search of MEDLINE, Embase, and Global Health databases on March 14, 2022, to identify publications on pneumococcal carriage prevalence or IPD incidence; we requested individual-level data from authors of relevant texts. Serotype-specific CCRs, calculated as IPD incidence divided by carriage prevalence, were pooled across settings using random …

Awarded Research Grants As A Pathway To Sustainable Development Goals, Maha Inam, Salim S. Virani, Melaine D'Cruze, Veronica Robi, Peter Gatiti, Anil Khamis

Population Health, East Africa

The United Nations Sustainable Development Goals (SDGs) are a set of global goals that provide an agenda for sustainable growth and development across all sectors and disciplines. However, the contribution of academic institutions from the developing world towards the SDGs has not received adequate attention from the scientific community. A review of all the awarded grants in 2022 and 2023 at an international academic institution was conducted. The objectives outlined in the grant proposals were used to map the SDGs accordingly. A quantitative frequency analysis was conducted to tabulate the results. A total of 293 grants obtained in 2022 and …

Stepreg: A Comprehensive And Intuitive R Package For Stepwise Regression Analysis, Junhui Li, Kai Hu, Xiaohuan Lu, Cesar B. Sotelo, Sushmita Nayak, Michael A. Lodato, Wenxin Liu, Lihua Julie Zhu

Student Publications [Scholarly]

Stepwise regression remains widely used for model selection, yet the field lacks a comprehensive, well-documented tool that supports diverse model families and selection strategies, implements multiple information criteria, and addresses overfitting and post-selection inference. We present StepReg, an R package that unifies stepwise selection across linear, generalized linear (e.g., logistic, Poisson, Gamma, negative binomial), and Cox models, supporting forward, backward, bidirectional, and best-subset search under various information criteria. StepReg also supports multivariate multiple linear stepwise regression, enabling simultaneous modeling of multiple dependent variables. Users can explore multiple strategies and information criteria within a single function call, and optionally combine them …