Digital Commons Network^™

Predictive Computational Arbitrage And Dynamic Resource Allocation In Heterogeneous Networks, Aura Yavary

Defensive Publications Series

A system and method for dynamic allocation of computing resources across local and remote environments based on task complexity and resource availability are described. The approach involves evaluating an input using a probe model to determine a difficulty score and complexity tags. Based on this evaluation, the system isolates the input into individual semantic shards for processing across a heterogeneous network of computational targets. A compute bill of materials is generated to optimize cost and quality, matching specific shards with appropriate models, quantization precision levels, energy limits, and hardware targets. The architecture includes a semantic atomizer for parsing inputs, a …

Harmonic Vector Equilibrium: A Unified Integer-Based Framework For Control, Navigation, And Communication On The Cuboctahedral Matrix, Olexandr Lozovyi

Defensive Publications Series

This disclosure presents an integer-based spatial and phase control framework (HVE) designed for embedded systems and actuators. The method replaces conventional floating-point arithmetic and 360-degree metrics with a base resolution of L = 27720. This metric, being the Least Common Multiple (LCM) of integers 1 through 12, guarantees exact integer division for complex mechanical gear ratios and spatial subdivisions.

The framework eliminates progressive floating-point phase drift and provides a computationally lightweight, pure-integer control law suitable for resource-constrained microcontrollers. The mathematical principle is inherently scalable to higher-precision systems (32/64-bit) for cross-disciplinary applications, including Magnetic Resonance Imaging (MRI) spatial encoding, non-invasive neuromodulation …

Zenbrain: A Neuroscience-Inspired 7-Layer Memory Architecture For Autonomous Ai Systems (V5), Alexander Bering

Defensive Publications Series

TECHNICAL DISCLOSURE: ZenBrain — A Neuroscience-Inspired 7-Layer Memory Architecture for Autonomous AI Systems (v5)

This disclosure describes ZenBrain, a memory architecture for AI agents that integrates fifteen neuroscience models into seven distinct memory layers (working, short-term, episodic, semantic, procedural, core, cross-context).

Version 5 adds the Predictive Memory Architecture (PMA): six new biologically motivated components for neuromodulated memory lifecycle management. These include a four-channel NeuromodulatorEngine (dopamine/norepinephrine/serotonin/acetylcholine dynamics), a prediction-error-gated ReconsolidationEngine, TripleCopyMemory with divergent decay dynamics (fast/medium/deep copies with logarithmic deep-copy consolidation), a four-dimensional PriorityMap with amygdala fast-path, a StabilityProtector (NogoA/HDAC3 analog for memory protection), and a MetacognitiveMonitor for bias detection.

New …

When How We Teach Is What We Teach: Teacher Educators As Instructional Models For Novice Teachers, William Waychunas

Journal of Educational Research and Practice

Teacher education programs have struggled to overcome the apprenticeship of observation, or the tendency for preservice teachers (PSTs) to replicate the traditional or problematic forms of teaching from their K–12 experience. However, the field tends to assume that PSTs draw only on instructional models from K–12, overlooking higher-education instructors such as professors, other faculty, and teacher educators as sources of pedagogical inspiration and guidance. This study uses data from a longitudinal investigation tracing the development of nine secondary social studies teachers to focus on how the modeling and demonstration of practice within coursework by teacher educators shaped PSTs’ understanding, impressions, …

Complex Systems Mapping Of Fiscal Growth Dynamics At Strategic Maritime Chokepoints Using Time-Series Slopes, Rahul Balamurugan, Preethi Nanjundan, Avichal Sharma

Northeast Journal of Complex Systems (NEJCS)

This study examines how maritime and trading states allocate public resources between defence, health, and economic growth around three strategic chokepoints the Strait of Malacca, the Strait of Hormuz, and the Suez Canal. The analysis extends the classic “guns versus butter” framing by treating defence and health spending as co-evolving components of an interconnected fiscal-growth system. Using World Development Indicators data (1999-2024), trend slopes are estimated for military spending (% of GDP), healthcare spending (% of GDP), and GDP growth (annual %). Two derived indicators are computed, a defence-to-health slope ratio (military slope/health slope) and a fiscal-balance proxy (health slope …

Arum–D Nexus: Adaptive Reflexive Urban Metabolism For Complex Construction And Demolition Waste Governance In Bengaluru, Talat Naaz, Rosewine Joy

Northeast Journal of Complex Systems (NEJCS)

Urban material systems exhibit nonlinear dynamics governed by feedback, adaptation, and emergent coupling among institutions, markets, and behaviors. Construction and demolition (C&D) waste in Bengaluru is a great example of such complexity, where fragmented regulation, informal actors, and digital asymmetries coalesce into unstable waste flows and resource leakages. This study conceptualizes Bengaluru’s C&D waste system as a Complex Adaptive System (CAS), where institutional, market, behavioral, and metabolic subsystems co-evolve through nonlinear feedback interactions. A meta-analysis of secondary literature combined with benchmarking of government datasets is used to evaluate two key complexity indicators, i.e., response speed and feedback density. The advancement …

Contractualizing Corporate Governance, Jonathan C. Lipson, Eli Alexander Evans

University of Miami Law Review

The relationship between fiduciary duty and contract has never been clear. The law of fiduciaries has long constrained discretionary control of other people’s property, notably in corporate governance, where directors owe a corporation duties of care and loyalty. Yet, contract has also had the capacity to modify these duties in important—but uncertain—ways because neither body of law contains a meta-rule specifying which would “trump” in the event of conflict. Uncertainty was rarely problematic, however, because directors lacked the power to fully contract away their control of the corporation or their concomitant fiduciary duties.

This has changed in the past thirty …

Artificial Intelligence Assisted Evaluation Of Fungicide Efficacy In Acorn Squash, Olivia Grace Daniels

ASPIRE 2026

Powdery Mildew is a common fungus that infects a multitude of plants. This project will be working with Podosphaera Xanthii, the fungal pathogen that causes powdery mildew in cucurbits. Cucurbitaceae is a plant family that includes squash, pumpkins, melons and watermelons. Powdery mildew ends up significantly reducing the plants yield and infection causes an economic loss for growers which poses a great threat to the farmer’s lively hood. Powdery mildew is also extremely contagious and spreads rapidly to nearby plants. It can be absolutely decimating to populations. So there has been a push to find methods to control the spread …

Rising Numbers, Rising Risks: Population, Growth, And Natural Disasters, Sophia Becker-Toro, Yu Ouyang

Midwest Social Sciences Journal

How does population size and growth affect the risk of natural disasters? On October 7, 2024, before Hurricane Milton makes landfall in the Tampa Bay area, Tampa Mayor Jane Castor issues a dire warning to affected citizens: “I can say without any dramatization whatsoever. If you choose to stay in one of those evacuation areas, you’re going to die.” While there is an extensive literature which focuses on the impact of climate change and/or natural disasters, there is a dearth of works on how population affects the risks of natural disasters. As both the frequency and severity of storms and …

Multiple-Valued Quantum Automata For Robotics, Yuchen Huang

Dissertations and Theses

This dissertation introduces a new type of quantum automata, their encoding and circuit realization. I concentrate on possible applications in robotics. Several methods and application of quantum automata and quantum circuit-based controllers for elementary robotic systems, with a focus on humanoid robot motion, emotion, and behavior generation are illustrated in detail. The research introduces several novel methodologies that bridge quantum computing principles with robotic control, aiming to overcome the limitations of classical deterministic and probabilistic approaches.

The dissertation first presents a quantum-circuit-based framework for generating non-repetitive and expressive (e)motions in a humanoid robot actor, using superposition and entanglement to produce …

2026 Library Award Winners, University Of Dayton

University Libraries Blog Archive

Congratulations to Lilly Lowe, Maggie Romano and Stacy Ngo.

Ai Exposure And The Future Of Work: Tasks, Skill Demand, And Education, Erik Vasilauskas, Michael Horrigan

External Papers and Reports

No abstract provided.

Executive Committee - Agenda, 04/07/2026, Academic Senate

Academic Senate Agendas

No abstract provided.

An Llm-Based Agentic Network Traffic Incident-Report Approach Towards Explainable-Ai Network Defense, Chia Hong Chou, Arjun Sudheer, Younghee Park

Faculty Research, Scholarly, and Creative Activity

Traditional intrusion detection systems for IoT networks achieve high classification accuracy but lack interpretability and actionable incident-response capabilities, limiting their operational value in security-critical environments. This paper presents a graph-based multi-agent framework that integrates ensemble machine learning with Large Language Model (LLM)-powered incident report generation via Retrieval-Augmented Generation (RAG). The system employs a three-phase architecture: (1) a lightweight Random Forest binary pre-detection, achieving 99.49% accuracy with a 6 MB model size for edge deployment; (2) ensemble classification combining Multi-Layer Perceptron, Random Forest, and XGBoost with soft voting and SHAP-based feature attribution for explainability; and (3) a ReAct-based summary agent that …

Ai Method For Classification Of Diagnosis Of Near-Infrared Breast Lesion Images, Kaiquan Chen, Fangyang Shen, Honggang Wang, Zhengchao Dong, Jizhong Xiao, Ming Ma, Afroza Aktar, Christopher Chow, Wenxiong Zhang

Publications and Research

In near-infrared optical breast lesion screening and diagnosis systems, high-speed four-dimensional scanners can dynamically acquire tens of thousands of lesion images within a five-minute period. Currently, manual computer annotation is required to generate standard samples from these scanned breast lesion images, a process that depends heavily on physicians with clinical expertise. On average, a single physician can annotate only approximately ten samples per working day. As a result, this process is time-consuming and labor-intensive, and the collected samples often suffer from low accuracy, large variability, and limited diagnostic reliability. Several AI-based annotation tools, such as QuPath, HALO AI™, and X-AnyLabeling, …

Correlation Between Ftir Fingerprint Spectra And Inhibition Of Α-Glucosidase Activity Of Andrographis Paniculata Using Partial Least Squares Regression Analysis, Mohamad Rafi, Stevanus Stevanus, Zuhelmi Aziz, Retti Hanggia Anggela, Agus Saputra

Chimica et Natura Acta

Andrographis paniculata has been used empirically by people as traditional medicine to treat diabetes. In this study, we correlated the FTIR spectra and α-glucosidase inhibition by using chemometrics analysis to obtain a functional group from the metabolite present in A. paniculata herb exhibited α-glucosidase inhibitory activity. A. paniculata herb powder was extracted using water, ethanol, ethyl acetate, and n-hexane using ultrasonication method. The dried extract obtained was then measured for its FTIR spectra and determined for α-glucosidase inhibitory activity. Absorbance data from the FTIR spectra of A. paniculata herb extracts were used as a principal component analysis (PCA) variable for …

Green Synthesis And Characterization Of Silver Nanoparticles Using Dadap Serep (Erythrina Lithosperma) Leaves Extract As A Bioreductor, Fairuz Hammad Albahi, Suyatno Sutoyo, Tukiran Tukiran

Chimica et Natura Acta

Silver nanoparticles (AgNPs) had been widely applied in various fields such as health, food, environment, catalysts, optics, and electronics. The synthesis of silver nanoparticles can be carried using a bottom-up method using by bioreductants derived from natural extracts (green synthesis). This study aims to describe the green synthesis of silver nanoparticles using a bioreductants from dadap serep (E. lithosperma) leaves extract and to determine its characteristics. The synthesis was carried out by varying the volume ratio of dadap serep leaves extract to silver nitrate solution at ratios of 1: 1, 1: 2, 1: 3, and 1: 4, followed by optimization …

Evaluating Pathways Into Health Care Among Healthcare Students In Virginia, Olivette Burroughs

Doctoral Dissertations and Projects

The purpose of this study was to evaluate gaps in healthcare training that lead to healthcare access inequalities and the role of the pathway programs' effectiveness in the pathway process in Virginia. The problem addressed in this study was to assess how healthcare education pathway programs impact access to care in rural and underserved areas of Virginia. The study used the qualitative health belief model by Hochbaum, Rosenstock, Kegeles, and Leventhal to examine pathway program participants' beliefs and perceptions, and the grounded theory by sociologists Barney Glaser and Anselm Strauss, to establish theoretical relationships. The rationale for the study was …

Music Teachers’ Perceptions And Actual Effects Of Youth Orchestra Participation On Students’ Playing Ability, Erika J. Pierce

Doctoral Dissertations and Projects

Despite research demonstrating a significant correlation between social and academic development with participation in a youth orchestra, few studies have examined whether participation directly affects students’ note-reading skills, the accuracy of pitch production, and musical expression. This information matters because students often join a youth orchestra to develop these and other playing skills beyond what school programs and private lessons teach. This applied research study examined youth orchestra participation by comparing teachers’ perceptions with demonstrated performance outcomes on middle school students’ development in note-reading, pitch production accuracy, and musical expression. This study analyzed rubric-scored student performance recordings alongside teacher survey …

The Predictive Influence Of Management Leadership Styles On Employee Retention In The Aerospace And Defense (A&D) Industry In Northern Virginia, Shawn M. Hall

Doctoral Dissertations and Projects

This fixed-design quantitative study evaluates the predictive influence of management leadership styles on employee retention within the Aerospace and Defense (A&D) industry in Northern Virginia. Addressing a critical decline in industry retention that impacts organizational productivity and profitability, the research utilizes a post-positivist paradigm to analyze data (N = 773) from participants across seven major A&D organizations. The study measures four primary constructs: Intent to Stay, Management Leadership Styles, Job Satisfaction, and Leader Support. A hierarchical multiple regression analysis was performed to isolate the predictive power of leadership style after controlling for demographic factors, including age, gender, role, and years …

A Phenomenological Study Of The Experiences Of Higher Education Faculty Towards Inclusion Of Racial And Ethnic Minority Students With Disabilities, Aimee Grace Regala

Doctoral Dissertations and Projects

The purpose of this transcendental phenomenological study was to describe the lived experiences of higher education faculty toward the inclusion of racial and ethnic minority students with disabilities at a historically Black college and university in the mid-Atlantic region in the United States. The theory guiding this study was Alexander Astin's input-environment-outcome (I-E-O) model. Transcendental study captured the essence of higher education faculty's experiences in implementing inclusive practices for racial and ethnic minority students with disabilities. Data were collected through in-depth interviews, observations, and focus group interviews. Data were analyzed through epoché, phenomenological reduction, and imaginative variation to answer the …

Oxygen Under Pressure: A Comparative Study Of Maximal Oxygen Uptake In Firefighters And Civilians, Jordan N. Hunt

Doctoral Dissertations and Projects

The purpose of this study aimed to investigate and compare V̇O2max levels between firefighters and age-matched individuals from the general population. This study used a quantitative, comparative, cross-sectional design to assess differences in directly measured V̇O2max with a breath-by-breath portable analyzer between firefighters and matched civilians, determine the percentage of firefighters meeting NFPA recommended fitness thresholds, and examine the accuracy of estimated V̇O2max values. A total sample size of 52 participants (26 per group) participated in this study. Firefighters exhibited significantly higher directly measured V̇O2max and V̇O2peak than age-, sex-, and BMI-matched individuals from the general population. Firefighters in this …

Instructors' Lived Experiences Of Using Authentic Assessments In College Calculus Courses Across The United States: A Phenomenological Study, Christy Hart Kains

Doctoral Dissertations and Projects

The purpose of this transcendental phenomenological study was to describe the lived experiences of instructors with authentic assessments in college calculus courses across the United States. The theory guiding this study was Astin’s student involvement theory, which provided a framework to study the involvement of students in higher education. The central research question for this study was: What are the lived experiences of instructors who utilize authentic assessments in college calculus courses across the United States? This study used a qualitative design following the transcendental phenomenological approach of Moustakas. The sample included 12 instructors from two-year and four-year colleges in …

Samson As Judah/Israel: Parallelism And Metaphor In Judges 13–16, Roy A. Scorup

Doctoral Dissertations and Projects

This dissertation argues that the Samson narrative in Judges 13–16 functions as a metaphorical parallel to Israel and Judah. By employing rhetorical criticism methodology, this study will trace the parallelism between Samson and the twin nations of Israel and Judah and analyze the unique flourishes and oddities that are replete in the account, which largely serves to advance this metaphor.

The parallels between Samson and his nation are striking, tracing a shared trajectory from divinely appointed origins, chronic rebellion, and ultimate decline. While many scholars have noted a strong parallelism between Samson and the Israelite nations, aside from Greenstein’s “The …

Disability Laws: An Instrumental Case Study Exploring Staff Capacity To Support Incarcerated Juveniles With Disabilities In The Mid-Atlantic Region, Jennifer L. Howarth Mira

Doctoral Dissertations and Projects

The purpose of this instrumental case study was to explore how juvenile detention staff are prepared to understand and comply with disability laws when working with incarcerated juveniles with disabilities. The theory guiding this study was Bandura’s social learning theory as it suggests a person’s environment can be directly influenced by themselves or by others. The central research question this study investigated was: How are juvenile detention staff prepared to understand and comply with disability laws when working with incarcerated juveniles with disabilities? This qualitative study included 11 staff members employed in mid-Atlantic juvenile detention centers with at least six …

The Lived Experiences Of Secondary Algebra Teachers Working With Students With Math Anxiety: A Phenomenological Study, Chanly Kong Henderson

Doctoral Dissertations and Projects

The purpose of this hermeneutic phenomenological study was to understand the lived experiences of working with students with math anxiety in algebra classrooms for secondary math teachers at the Sunflower School District in the Western United States. The study was guided by attentional control theory, which explains how anxiety disrupts attention and working memory. The central research question was: What are the lived experiences of secondary math teachers working with students with math anxiety in algebra classrooms? Ten participants were selected through purposeful sampling. Data were gathered through semi-structured interviews, focus group interviews, and a journal prompt, and were manually …

Exploring Mathematics Faculty Perceptions Of Instructional Design In Ai-Integrated Tools: A Phenomenological Study, Taylor Victoria Moreau

Doctoral Dissertations and Projects

The purpose of this transcendental phenomenological study was to explore the lived experiences of higher education mathematics faculty implementing artificial intelligence tools in their classrooms. The theory that guided this study was Piaget’s cognitive learning theory, which emphasizes that learners absorb knowledge by building upon previous understandings and experiences. The central research question guiding this study is: What are the lived experiences of mathematics faculty in higher education who utilize AI tools to support instructional design in their classrooms? Purposeful sampling was used to recruit full-time or visiting mathematics faculty members from four-year colleges and universities in the eastern United …

A Hermeneutic Phenomenological Study Exploring Leadership Styles That Support Teacher Retention In Christian Secondary Schools, Jeremy T. Thomas

Doctoral Dissertations and Projects

The purpose of this hermeneutic phenomenological study was to understand the leadership styles of school administrators that influence teacher retention for secondary Christian school teachers, in a southeastern coastal state. The theory guiding this study was Avolio’s full-range leadership model, which provides the background to understanding how leadership styles of school administrators influence the retention rate of their teachers. The central research question was: What are the retention experiences of secondary Christian school educators who attribute their persistence to the leadership styles of school administrators? Data was collected from 11 secondary Christian school teachers to explore the persistence experiences of …

Professional Development In West Virginia's Rural Public Schools Relating To Secondary Math Teacher Retention: A Phenomenology Through The Lens Of Andragogy, Tanya L. Cooper

Doctoral Dissertations and Projects

The purpose of this qualitative transcendental phenomenological study was to explore the perceptions of factors related to professional development that influence the retention of secondary math teachers in West Virginia’s rural public schools. The theory guiding this study was adult learning theory, specifically Knowles’ andragogy, as it explains the perceptions of secondary math teachers from their perspective as adult learners. The Central Research Question was: What are rural secondary math teachers’ perceptions of factors related to professional development that influence retention? This phenomenological study was conducted in rural areas of West Virginia, examining the perceptions of ten secondary math teachers …

Biting Hurts: A Transcendental Phenomenological Study Of Childcare Stakeholders’ Experience When Toddlers Bite In North Texas, Sarah Elizabeth Borszich

Doctoral Dissertations and Projects

The purpose of this transcendental phenomenological study was to describe the lived experiences of participating in decision-making responses following biting incidents for key childcare stakeholders at licensed childcare centers in Northeast Texas. At this stage in the research, lived experiences of participating in decision-making responses following biting incidents were generally defined as integrated processes, perceptions, or actions taken by childcare stakeholders when engaging in decision-making after a biting incident in a childcare setting. The theories guiding this study were social cognitive theory (Bandura, 1986) and sociocultural theory (Vygotsky, 1978). The central research question was: What are the lived experiences of …