Digital Commons Network^™

Post-Ukraine Fallout: How Azerbaijan’S Break With Russia Reflects The Strategic Consequences Of A Weakened Kremlin, Hasan Alisoy

Journal of Strategic Security

This article analyzes how Russia’s declining power, accelerated by its military overextension in Ukraine, triggered a historic rupture in Russia–Azerbaijan relations, culminating in the 2025 Yekaterinburg incident. It argues that the deaths of two Azerbaijani citizens in Russian custody—and the retaliatory actions taken by Baku—did not cause the diplomatic collapse, but rather crystallized a long-term realignment rooted in Azerbaijan’s post-conflict assertiveness and Russia’s unraveling regional leverage. Drawing on the 2024 downing of an Azerbaijani airliner by a Russian missile, the premature withdrawal of Russian peacekeepers from Karabakh, and Azerbaijan’s evolving alliance with Türkiye, the article positions this realignment within a …

The Digital Radical: Online Extremism, Propagation, And Terror By Design's Strategic Implications For Homeland Security, Hunter Lacroix, Shevach Berkovits

Journal of Strategic Security

The 'lone wolf' figure has long been central to counterterrorism analysis, representing the trajectory from non-participant to self-directed actor aligned with extremist causes. Traditional frameworks emphasizing in-person networks or online exposure, however, fail to capture the transformation of radicalization in the algorithmic age. The Arab Spring demonstrated the mobilizing power of digital platforms, yet movements like ISIS later weaponized these networks to provide ideology, belonging, and identity to dislocated populations. This article introduces the concept of the Digital Radical—an individual who transitions from passive consumer to active propagator of extremist narratives, sustaining and expanding radical ecosystems in a symbiotic …

Sheinbaum’S Dilemma: Mexico’S Security Choices After Fto Designation, Ghaleb Krame, John P. Sullivan, Magdalena Garcia

Journal of Strategic Security

The US designation of six Mexican cartels as Foreign Terrorist Organizations (FTOs) marks a pivotal shift in bilateral security relations, compelling Mexico to navigate a complex strategic landscape. This study uses game-theoretic modeling, scenario analysis, and Nash equilibria to evaluate three possible responses by the administration of Claudia Sheinbaum: (1) Total Subordination—fully aligning with US counter-cartel efforts, (2) Covert Subordination—secretly integrating US support while maintaining a public stance of sovereignty, and (3) Strategic Resistance—rejecting US intervention in favor of an independent security approach.

New evidence on US-side border corruption and clearer definitions of key terms (joint cross-border operations, intelligence fusion …

Redbird Scholar, Vol. 11, No. 2 (Spring 2026), Illinois State University, Office Of The Vice President For Research And Graduate Studies

Redbird Scholar

No abstract provided.

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 …

Artificial Intelligence For Better Inclusive Higher Education: A Study Of A Private University In Cairo, Shereen Ismail

Theses and Dissertations

This study explores how artificial intelligence (AI) tools relate to accessibility for visually impaired students in Egyptian higher education, focusing on University Y in Cairo. Grounded in the Social Model of Disability and Universal Design for Learning, it examines visually impaired students’ lived experiences of AI mediated access and the institutional conditions that shape these experiences. A qualitative phenomenological design was used, with semi-structured interviews conducted with visually impaired undergraduate students and key staff involved in assistive technology, teaching and learning, and student wellbeing; data were analyzed thematically. The findings indicate that participants experience AI tools (e.g., chatbots, transcription and …

Assessing Shifts In Leadership Language: A Comparative Study Of The Aacc Competencies For Community College Leaders, Bethany A. Siehr

Educational Leadership & Workforce Development Theses & Dissertations

Leadership competency frameworks are widely used in community colleges to guide hiring, professional development, and succession planning. However, little is known about how leadership expectations evolve within these frameworks over time or how revisions reflect shifts in what the field values as legitimate leadership preparation. This study examined longitudinal change in the American Association of Community Colleges (AACC) Competencies for Community College Leaders across four editions published in 2005, 2013, 2018, and 2022.

Using a structured comparative document analysis, the study applied an extraction grid, a modification classification framework, and the Semantic Aspect Scale to identify additions, deletions, augmentations, separations, …

Electromyography, Prosthetic Properties, And Running Biomechanics In Recreationally Active Persons With Lower Extremity Amputation, Paige M. Agnew

Rehabilitation Sciences Theses & Dissertations

Lower extremity loss affects nearly 150,000 individuals in the United States yearly yielding extreme health care costs annually. Typically, prosthetic devices are prescribed for 5-8 years despite known changes to an individual’s gait as time progresses. Patients can expect to undergo approximately 8-12 weeks of gait retraining to improve their comfort and efficiency. Biomechanical changes occur when running with a specific running prosthetic including considerable biomechanical and neuromuscular interlimb asymmetries and alterations in loading patterns. The purpose of this dissertation was to investigate the biomechanical demands for lower extremity prosthesis users during running. The first study synthesized peer reviewed evidence …

Microstructural And Thermal Studies Of Niobium On Copper Fabricated By Sputtering And Multicharged Ion Deposition, Md Obidul Islam

Electrical & Computer Engineering Theses & Dissertations

Niobium-coated copper (Nb/Cu) superconducting radiofrequency (SRF) cavities are a promising alternative to bulk niobium cavities for next-generation particle accelerators due to their reduced material cost and superior thermal conductivity of the copper substrate. However, cavity performance is fundamentally limited by the microstructural quality of sputtered Nb films and thermal transport across the Nb/Cu interface. Reduced thermal diffusivity in thin films and high interfacial thermal resistance contribute to localized heating and performance degradation under high RF fields. This dissertation addresses these challenges through a combined experimental and methodological investigation of thermal transport in Nb thin films, focusing on interface engineering using …

A Theoretical Framework For Recursion In Complex System Governance, Gilbert Goddin

Engineering Management & Systems Engineering Theses & Dissertations

The purpose of this research was to construct an original theoretical framework for understanding recursion in Complex System Governance (CSG), grounded in the propositions and axioms of systems theory and management cybernetics. This framework addresses a research gap for cybernetic recursion relating to the governance of complex systems. Leveraging the CSG framework (Keating & Katina, 2019; Keating, 2022), holonic principles (Koestler, 1970; Mella, 2009), management cybernetics (Beer, 1979; Beer, 1984; Beer, 1995), and metacybernetics (Yolles, 2021; Yolles & Fink, 2015c; Yolles & Frieden, 2021), recursion is theorized as a governable capability, whereby metasystemic governance anticipates emerging complexity and purposefully regulates …

Fabrication Of Flexible Laser-Induced Graphene-Based Non-Enzymatic Glucose Sensor For Diabetes Management, Reagan Aviha

Electrical & Computer Engineering Theses & Dissertations

This research focuses on developing a flexible non-enzymatic glucose sensor to address the issues of cost, stability, and limited sensitivity associated with enzymatic glucose sensors. Regular monitoring of glucose levels is required to manage the global health challenge of diabetes. The sensor is built on a cost-effective, durable, flexible, conductive, and high-surface-area substrate acting as a scaffold for modification with easily tunable and electroactive species to enhance glucose detection. The electroactive materials used are zinc oxide (ZnO), palladium (Pd) and platinum (Pt). Laser-induced graphene (LIG) is created by laser engraving. ZnO, Pd and Pt are electrochemically deposited and optimized based …

Optimization Of Niobium Film For Particle Accelerators And Quantum Applications, Bektur Abdisatarov

Electrical & Computer Engineering Theses & Dissertations

Niobium (Nb) films play a central role in superconducting technologies used in particle accelerators and superconducting quantum circuits. Optimizing the physical properties of Nb films is therefore critical for improving both radiofrequency (RF) performance in superconducting radiofrequency (SRF) cavities and coherence in superconducting qubits. This thesis investigates the relationship between Nb film microstructure, impurity content, and electromagnetic response across these two application domains.

For particle accelerator applications, we studied Nb films deposited using high-power impulse magnetron sputtering (HiPIMS) with DC bias onto a 1.3 GHz elliptical SRF cavity. Nb film cavities exhibit a pronounced medium-field Q-slope, limiting their achievable accelerating …

Personality Predictors Of Cybersecurity Vulnerability: Insights From Self-Reports And Stimulated Threat Scenarios, Saroja Roy Grandhi

Psychology Theses & Dissertations

In this cyber dependent and enabled era, understanding the role of human factors in digital security is essential. This study investigates the relationship between Big-Five personality traits and cybersecurity behaviors by examining both self-reported and stimulated behaviors in security threat scenarios. Participants completed validated questionnaires to report their personality traits, cybersecurity practices and engage in task-based stimulations to capture behaviors such as phishing detection, password creation, and response to security alerts. The study tested whether higher conscientiousness, openness, and agreeableness would be associated with stronger cybersecurity practices and smaller discrepancies between self-reported and observed behaviors. And, whether greater extraversion and …

Comparing The Risk And Return Characteristics Of Ai Exchange-Traded Funds To Benchmark Stock Market Etfs, Aryan Malhotra

Honors Theses

Artificial intelligence exchange-traded funds (AI ETFs) have expanded rapidly as investors seek targeted exposure to firms developing or benefiting from AI technologies. This study compares the performance of 50 AI ETFs with two broad-market ETFs, SPY (S&P 500) and RSP (equal-weight S&P 500), from January 2018 to January 2026. AI ETFs exhibit higher expense ratios and strong correlations with both benchmarks, reflecting their concentration in large-cap technology stocks. Over the full sample, AI ETFs generated higher cumulative returns but with substantially greater volatility. Sub-period analysis further decomposes the post-COVID period into pre-ChatGPT (April 2020–November 2022) and post-ChatGPT (December 2022–January 2026) …

The Racialized Treadmill Of Robotic Agriculture: Colonial Legacies, Legal Exceptionalism, And Labour Control, Vasanthi Venkatesh

Canadian Journal of Law and Technology

The title of this paper draws on two historical meanings of the word ‘‘treadmill”. First, it references the economic concept of the ‘‘agricultural technology treadmill”, which describes how technological advances in farming lead to market consolidation, pushing smaller producers out while benefiting agribusiness oligopolies. Second, it invokes the literal treadmill, which was invented in 1818 as a punitive labour technology and a ‘‘rational” tool to discipline racialized and indentured labourers in colonial plantations. By connecting these two threads in agricultural technology — economic domination and racialized labor control — this paper examines how robotics and automation in modern agriculture perpetuate …

To Smile Or Not To Smile? What Policymakers Need To Know About The Interplay Between Expressive Robotics And Public Perception, Adeline Schneider, Waseq Billah, Naomi T. Fitter

Canadian Journal of Law and Technology

The growing presence of autonomous delivery robots (ADRs) in public spaces has introduced new challenges regarding public perception, safety, and policy regulation. While ADRs provide a convenient, contactless delivery solution, there has been little research exploring how their design influences public acceptance and regulatory concerns. This study investigates the impact of expressive robotic features on perceptions of ADRs through a between-subjects online survey comparing two ADR models: the expressive Dax robot and the more widely deployed Starship robot. Participants answered questions about the robots’ expressivity and policy-relevant perceptions surrounding the robot. Findings showed a mix of enhancements from added robot …

Interoperable Ai Regulation, Jennifer Raso

Canadian Journal of Law and Technology

This article explores ‘‘interoperability” as a new goal in AI regulation in Canada and beyond. Drawing on sociotechnical, computer science, and digital government literatures, it traces interoperability’s conceptual genealogy to reveal an underlying politics that prioritizes harmony over discord and consistency over plurality. This politics, the article argues, is in tension with the distinct role of statutory law (as opposed to regulation) in a democratic society. Legislation is not simply a technology through which one achieves the smooth operation of governance. Rather, legislation is better understood as a ‘‘boundary object”: an information system through which members of different communities make …

Game Face: Legal Tackle On Facial Recognition And Privacy Rights At Nfl Games, Shanthi E. Senthe

Canadian Journal of Law and Technology

The unprecedented rapid uptake of facial recognition technology (‘‘FRT”) in commercial and public spaces for data capture and surveillance has entrenched every aspect of our daily lives from mundane tasks, such as grocery store shopping to family and experiential moments, such as participation in spectator sports. As such, the rapid adoption and integration of FRT into sports security is reshaping aspects of sporting events and fan experiences, often without adequate consideration of privacy and ethical implications. Professional sports leagues, specifically the NFL, are in the process of adopting the use of this type of technology to enhance security measures, streamlining …

Ai-Assisted 3d Pre-Visualization: Streamlining Animatics For Filmmakers, Nishit Thapa

Honors Theses

Pre-visualization is a core part of film pre-production. Creators use it to test blocking, lighting, camera movement, and spatial relationships before committing to a shot. Despite this, three-dimensional pre-visualization remains out of reach for many entry-level filmmakers, as the software is expensive and takes substantial time to learn.

Recent AI developments have produced generative systems capable of creating highly re-alistic imagery and video from text prompts. These systems open new possibilities for visual sto-rytelling but are not built for the iterative, hands-on process that pre-visualization requires, where creators must adjust scene parameters, camera logic, and spatial configurations throughout.

This thesis …

Sustainable Finance: An Analysis Of Climate-Resilient Infrastructure Investments, Ngan Trat

Honors Theses

Changes in climate conditions are reshaping our environments and impacting ecosystems. A product of these changes is worsening climate events, and for Mississippi, that means increasingly frequent, high-intensity storms and floods. Its immediate and residual effects can range from disruptive to destructive. Mississippi and its communities are highly vulnerable to the effects of intense natural disasters, and there is a discrepancy between the need for climate-resilient infrastructure investments and the state’s fiscal capabilities to finance the research and construction of such projects. This paper will evaluate existing cases of climate-resilient infrastructure in effect through a sustainable finance lens and identify …

Digital Preservation Policies In University Libraries: A Content Analysis, Ramsey Mcmanus

Honors Theses

In an increasingly digital world, libraries continue to expand their digital collections. As these collections grow, librarians must work to ensure that these digital materials remain accessible over time. Having clearly articulated digital preservation policies helps libraries define their preservation commitments and establish guidelines for preservation actions. This study examines how university libraries approach digital preservation through their policies, focusing on those that are publicly available and accessible online. The content of these policies is evaluated against commonly recognized elements of digital preservation planning, including preservation scope, metadata practices, integrity checking, storage redundancy, and format migration. These criteria are derived …

Quantifying The Antifungal Properties Of Bacteria Using Cotton Strips, Lily Lofton

Honors Theses

Many bacteria have been known to have antifungal properties. Research has begun to determine how these bacteria can be used to protect cotton and other cellulose-rich textiles. In the present study, standardized cotton strips were inoculated with two different bacterial consortia that have exhibited anti-fungal properties. These strips were then inoculated with the melanized cellulolytic fungi, Chaetomium globosum and Rhinocladiella similis. Similarly, some cotton strips were also inoculated with a non-melanized fungus, Rhodotorula toruloides, which is also thought to be cellulolytic. The tensile strength of cotton strips was measured along with the ergosterol concentrations (fungal biomass) for each cotton strip …

Evaluating The Environmental Parameters Impacting Spawning Movement Of Gulf Sturgeon (Acipenser Desotoi) In The Bouie River System., Olivia St. Germain

Honors Theses

The anadromous Gulf Sturgeon (Acipenser desotoi) is federally listed as “threatened” and is natal to seven rivers from Louisiana to Florida. Only one spawning reach for Gulf Sturgeon natal to the Pascagoula River has been verified via the collection of eggs and larvae; a reach of the lower Bouie River. This reach is anthropogenically modified by four gravel mining formations, hereafter referred to as pits. The greater depths associated with this area have prompted previous researchers to suggest that Gulf Sturgeon may over-summer in pit formations instead of migrating to downstream holding areas in the Pascagoula River after spawning. The …

Utilizing A Brief Experimental Analysis To Examine Therapeutic Interventions On Math Anxiety And Math Fact Fluency In School-Age Children, Erin Simon

Honors Theses

This study utilized a brief experimental analysis (BEA) to examine the effects of taped problems (TP) alone and in combination with brief therapeutic interventions on math fact fluency and math anxiety in elementary-aged students with language disorders. Math anxiety was assessed pre- and post-intervention using the Early Elementary School Abbreviated Math Anxiety Scale (EES-AMAS), a standardized measure for examining math anxiety levels in young students, and math fact fluency was measured using 2-minute Curriculum-Based Measurement (CBM) probes. Results indicated that TP-only was associated with improvements in digits correct per minute (DCPM) for most participants; further, the addition of therapeutic interventions …

Tuning And Performance Of Pid Controlled Low Complexity Systems, Timothy Evans

Honors Theses

Proportional integral derivative (PID) controllers are used for precise position and orientation control in systems such as autonomous underwater vehicles (AUVs). This project supports the University of Southern Mississippi’s (USM) Robotics Club’s RoboSub AUV effort by developing, troubleshooting, and manually tuning PID controllers to characterize tracking performance and settling time across systems of increasing complexity. Initially, the project hypothesized that tracking performance would be reduced and settling times would increase as system complexity advanced from one degree-of-freedom (DOF) to two DOF. However, prior research was found that suggests that for small disturbances around an equilibrium state, separate PID-controlled DOFs can …

Optimizing Auv Perception For Competitive Underwater Robotics: Analyzing Performance And Simplicity Of Machine Vision Hardware, Joseph King

Honors Theses

Underwater robotics is a growing field with many practical applications, such as pipeline and offshore structure monitoring, deep sea mining, mine reconnaissance/removal, and marine environmental monitoring. USM’s Robotics Club will participate in the international RoboSub competition, where student-led teams build autonomous underwater vehicles (AUVs) that perform a variety of tasks within a pool requiring camera-based object detection. This project analyzes affordable hardware and software options for providing machine vision to USM’s future RoboSub AUV. The performance of an ESP32-CAM microcontroller, Raspberry Pi 5, and Jetson Orin Nano single-board computers running FOMO and YOLO object detection models was compared. These models …

Deep Learning-Based Automated Pneumonia Detection From Chest X-Rays: A Comparative Study Of Custom Cnn And Transfer Learning Architectures, Ahmed Sajim

Honors Theses

Pneumonia is a leading global cause of mortality, claiming approximately 2.5 million lives an-nually and placing exceptional diagnostic pressure on radiologists in resource-limited settings. Manual interpretation of chest X-ray (CXR) images is time-consuming, subject to inter-observer variability, and limited by radiologist availability. This thesis presents a systematic investiga-tion into deep learning-based automated pneumonia detection comparing five convolutional neural network (CNN) architectures: a custom-designed 2D CNN and four pretrained transfer learning models—ResNet, DenseNet, MobileNet, and VGG19.

A targeted data augmentation pipeline addresses the severe class imbalance in the Kag-gle Chest X-Ray Pneumonia dataset, expanding the Normal class from 1,583 to 9,495 …

The Digital Dilemma: Social Media’S Influence On Children’S Well-Being In Developing Nations: A Systematic Literature Review, Hilal Hamed Al Busaidi, Ayman Al Shukri, Moosa Al Shukaili, Yahya Al Niyadi, Adil H Al Kindi

Journal of Educational and Psychological Studies

Social media has become an integral part of the lives of teenagers and children, particularly in developing countries. Though it opens avenues for communication and expression, it also plays a serious role in mental health. This paper conducts a systematic literature review (SLR) of published studies from 2015 to 2025, utilizing the databases of PubMed, Scopus, and Web of Science, to assess the impact of social networking sites on the mental health of children’s populations in low- and middle-income countries. The review identifies three concern areas: cyberbullying, increased anxiety and depression rates, and socioeconomic factors’ effects. Literature suggests that adolescents …

Short-Term Electricity Price Forecasting With Constrained Regressors, Mucun Sun, Li Zhang, Yifeng Gao

Computer Science Faculty Publications

The volatility of electricity price presents a challenge to market participants as their decision-making process are highly depend on the accuracy of price forecasts. However, there is growing empirical evidence of increasing price volatility and price spikes in electricity markets as a result of variable renewable energy generation, extreme weather events, and other factors. The distribution shift caused by spikes in electricity price data differentiates the forecasting tasks from other renewable energy sources. Moreover, the observations may be compromised by cyberattacks and thus not available in the testing phase. To this end, we propose a Similarity-Enhanced Electricity Decomposition Forecasting model …