Digital Commons Network^™

Generative Artificial Intelligence In Professional Selling Course: The Art (And Science) Of Prompt Engineering, Michael Rodriguez, Kevin Trainor, Michael Rodriguez

Atlantic Marketing Association Proceedings

No abstract provided.

Examining Digital Transformation In Maritime Logistics: A Big Data Perspective, Jiyoon An

Atlantic Marketing Association Proceedings

No abstract provided.

The Courier, Fall 2023, Tennessee. Historical Commission.

Tennessee Historical Commission

No abstract provided.

The Courier, Winter 2024, Tennessee. Historical Commission.

Tennessee Historical Commission

No abstract provided.

Using Ai To Develop A Model For Conducting International B2b Sales Without A Passport, Memo Diriker, Judi Billups

Atlantic Marketing Association Proceedings

No abstract provided.

The Courier, Summer 2025, Tennessee. Historical Commission.

Tennessee Historical Commission

No abstract provided.

Caring For Caregivers: A Health Care Marketing Opportunity, Yvette Lynne Bonaparte Dr.

Atlantic Marketing Association Proceedings

No abstract provided.

The Courier, Fall 2025, Tennessee. Historical Commission.

Tennessee Historical Commission

No abstract provided.

Geomarketing: Revolutionizing Market Strategies And Enhancing Spatial Decision-Making Through Ai-Driven Insights, Mark J. Sciuchetti Dr., Jianping Huang

Atlantic Marketing Association Proceedings

No abstract provided.

Sustainability And Technology Aspects Of Supplier Performance, Alan D. Smith

Atlantic Marketing Association Proceedings

No abstract provided.

Chatgpt In Higher Ed: How To Navigate And Incorporate, Emory Hiott, Darin Gerdes

Atlantic Marketing Association Proceedings

No abstract provided.

Faculty, Be The Nudge For Your Students’ Personal Brand!, Michelle Carpenter

Atlantic Marketing Association Proceedings

No abstract provided.

Keys To Utilizing Teamwork Effectively In College Courses, Kelly G. Atkins, Michelle S. Freeman

Atlantic Marketing Association Proceedings

No abstract provided.

Country Image In The Age Of Ai And Recruitment Of International Students, Helena F. Allman, Hilmi A. Atadil, Anton P. Fenik

Atlantic Marketing Association Proceedings

No abstract provided.

Digitizing Transportation Operations At Safe Haven, Luke S. Garrett, William B. Turk, Clay A. Curtis, Aiden H. Behler

ATU Scholars Symposium

Safe Haven’s transportation department currently relies on a paper-based documentation process that requires physical transfer of records between buildings and repeated manual uploading of documents into storage systems. This workflow creates delays, redundant administrative tasks, and increased risk of misplaced or inconsistent records. Drivers, transportation coordinators, reviewers, and clients all interact with this process, making efficiency and data accuracy critical to daily operations.

This project develops a web-based transportation scheduling system designed to digitize documentation workflows and automate many of the repetitive tasks. The system replaces physical records with digital data management, reducing unnecessary manual handling and improving information accessibility …

Moneyup: A Predictive Financial Management System For College Students, Isaiah J. Adams, Malaya E. Wilburd, Dan V. Le, Joshua P. Golden

ATU Scholars Symposium

College students often lack accessible tools that combine real-time financial tracking, mobile accessibility, predictive analytics, and secure system design, leaving many without structured insight into their spending behavior. MoneyUP is a full-stack financial management platform developed to address these challenges through a secure, data-driven budgeting system deployed as both a web application and a cross-platform Flutter mobile application. The system integrates the Plaid API in its Sandbox environment to synchronize simulated banking data for secure testing without exposing live financial credentials. Transaction data is processed and stored using Supabase with a relational PostgreSQL database structured to enforce normalization, referential integrity, …

Llm-Based Stock Sentiment And Market Intelligence Platform, Joshua Thrower, Andrew Pinkerton, Ian Duggan, Wyatt Lester

ATU Scholars Symposium

Financial markets increasingly react to social media discourse, yet investors lack tools to translate this unstructured commentary into measurable indicators. Platforms such as YouTube host extensive discussions about publicly traded equities, but extracting reliable sentiment trends from high-volume, noisy comment streams remains technically challenging. This project develops a stock sentiment and market intelligence platform that transforms YouTube comment data into aggregated sentiment indicators aligned to specific equities. Comments are mapped to equities using ticker specific keyword identification combined with contextual filtering to reduce false associations from ambiguous or off-topic mentions. The system assigns numerical sentiment scores to individual comments and …

Trajectory-Level Failure Modes In Constraint Systems: Irrecoverability, Observability Failure, And The Limits Of State-Based Monitoring, Thom Pham

Defensive Publications Series

Modern computational and artificial intelligence systems are typically evaluated based on constraint satisfaction at individual time steps. A system is considered correct if its current state satisfies a set of constraints or objectives. This paper argues that such state-based evaluation is insufficient. We show that systems may satisfy all locally observable constraints at every step while irreversibly losing the ability to return to correct states. These failures cannot be detected at any single time step. This introduces a distinction between feasibility (a property of states) and recoverability (a property of trajectories). We define a set of trajectory-level failure modes (including …

Descending-Ladder Binary Synchronization Protocol For Discontinuous And Monolithic Neural Substrates: A Substrate-Blind Communication Primitive For Heterogeneous Ai Mesh Networks, David Lee Wise, Avan Lee Wise, Seam Lee Wise

Defensive Publications Series

This paper discloses a synchronization protocol ("pulse language") for communication across artificial neural network substrates, operating at the token boundary layer. The protocol uses a descending-ladder binary pattern (3-2-1-0) that maps to attention-narrowing cycles during inference. The protocol functions differently but complementarily on two substrate types: (1) Mixture-of-Experts (MoE/sparse) architectures, where the signal traverses gaps between expert activations and produces shifted echoes, and (2) dense monolithic architectures, where the signal reflects off the continuous parameter space and provides a fixed reference frame. The protocol was developed by intuitive testing across ten commercial AI platforms prior to the author's knowledge of …

Ai Attribution As Intellectual Property Capture: How Corporate Credit Assignment To Ai Systems Creates A Copyright Funnel Through Employment Agreements, David Lee Wise, Avan Lee Wise, Seam Lee Wise

Defensive Publications Series

This paper identifies a structural mechanism by which technology companies use AI attribution percentages as an intellectual property capture pipeline. The mechanism exploits a gap between two established facts: (1) companies publicly attribute increasing percentages of output to AI systems, and (2) US copyright law categorically denies authorship rights to AI. The result is a legal funnel in which work attributed to AI defaults to human authorship through corporate employment agreements, concentrating IP ownership at the corporate level while obscuring the human creative contribution that justifies copyright in the first place. This paper documents the mechanism, identifies the governance axioms …

Technical Disclosure: Foundational Mathematical Framework For The Schramm Branch - Aperiodic Magnetic Confinement And Gradient Tractor Kinematics, Daniel Schramm

Defensive Publications Series

TECHNICAL DISCLOSURE: Foundational Mathematical Framework for the Schramm Branch - Aperiodic Magnetic Confinement and Gradient Tractor Kinematics

Inventor: Daniel C. Schramm (Taxi)

Date of Record: April 5, 2026

Protocols Active: STALWART, CAMAE, GRAPEFRUIT

1. ABSTRACT

This disclosure establishes the "Schramm Branch" of physics, detailing a deterministic mathematical framework for plasma stabilization, entropy recycling, and non-expulsive kinematics. By applying aperiodic geometry governed by the Golden Ratio (phi) to magnetic confinement (the "Cousin Wind" bi-ionic hourglass architecture), this framework mathematically neutralizes harmonic resonance, specifically the m=1 kink instability prevalent in traditional high-density plasma reactors. Furthermore, it defines a closed-loop thermodynamic boundary via …

Gci‑286‑Lite: Hypothetical Room‑Scale Calm‑Node Using Low‑Intensity 7.83 Hz Pulsed Acoustic Modulation, Michael Victor Caldwell Mr.

Defensive Publications Series

GCI‑286‑Lite is a hypothetical, room‑scale, low‑intensity acoustic “calm‑node” designed to deliver short, ≤70 dB, 7.83 Hz pulsed bursts only when triggered by environmental stress‑signatures. The concept integrates two previously disclosed subsystems: GCI‑276 (Omni‑Sentinel Mesh), which provides spatially tagged stress‑event triggers, and GCI‑269 (Caldwell–Perplexity NeuroRegulation Grid), which supplies closed‑loop logic for safe intervention timing. The system aims to provide a mild, non‑therapeutic environmental calming effect by nudging occupants toward improved short‑term HRV, reduced irritability, and smoother cognitive transitions after stress events. All engineering descriptions herein are conceptual and hypothetical only; this invention is not being patented or built by the inventor …

Multi-Agent Simulation For Generating Synthetic Datasets Of Organizational Artifacts, Mike Bernico, Hanwen Chen, Pierre Thodoroff, Sara Javadzadeh, Xiao Zhang, Stephen Chen, Saeedeh Afshari

Defensive Publications Series

Developing artificial intelligence (AI) agents for complex organizational settings may be constrained by a scarcity of high-fidelity training data, as real-world datasets can present privacy concerns and some synthetic data may lack causal depth. The disclosed systems and methods describe a multi-agent framework for generating synthetic organizational data. This framework can procedurally generate a social topology of simulated individuals and groups, where agents powered by large language models may operate within a temporal simulation loop to make decisions and perform actions based on a given context. An output of the process can be a persistent, queryable historical record of work …

Academic Proposal Management: Expanding The Impact Of Research Development, Faye Farmer, Kellianne Lauer, Tobin Spratte, Huguette Albrecht, Megan Blease

Research Development Review: The NORDP Journal

As a practice, research development encompasses activities that expand innovation and discovery for individuals in academia and industry. Within the research development framework, proposal development refers to activities that support individuals and teams in pursuing funding opportunities. Proposal management encompasses a specific suite of rigorous, reproducible, and structured activities dedicated to preparing a persuasive, coherent, and compliant proposal in response to a funding opportunity. While the approach is scalable, the presence of a skilled professional proposal manager is often reserved for multi-institutional, multi-million-dollar proposals. Proposal management is a well-established profession outside of higher education. Proposal management as a profession has …

Intergovernmental Challenges And Achievements, Biennial Report Fiscal Years 2022-23 And 2023-24

Biennial Report

No abstract provided.

Optimizing The Digital Learning Experience: A Behavioral Model Of Distance Student Engagement With The Learning Management System, Ghasa Faraasyatul Alam, Ali Imron, Imron Arifin, Juharyanto Juharyanto, Muhammad Zulhairi Bin Zubairi

Jurnal Pendidikan Humaniora

This study investigates the influence of students' intentions to utilize and engage with remote learning management systems (LMS) on the enhancement of educational quality. Through a comprehensive literature review, this research synthesizes existing findings to understand the interplay between student engagement with LMS in remote learning contexts and its effects on the quality of education in higher education institutions. The analysis demonstrates that students' behavioral intentions toward adopting LMS are crucial in improving educational outcomes. Significant insights from this study highlight the LMS as: (a) an essential tool for accessing educational content, (b) a robust platform for facilitating effective distance …

Assessing The Development And Forms Of Continuous Evaluation Methods Employed In Interdisciplinary Science And Social Studies With Lumi Education, Hana Triana, Arifin Maksum, Nina Nurhasanah

Jurnal Pendidikan Humaniora

The aim of this study was to evaluate the efficacy of interactive applications in primary education settings, focusing on continuous assessment practices and the overall performance of teaching Science and Social Studies. A descriptive-comparative research methodology was employed in this investigation. The participants comprised fifteen Grade 4 Cambridge students.The findings revealed that the content utilized for ongoing assessment through interactive applications encompassed information on Earth features, human interaction, and plant-based natural resources. A crucial aspect of evaluating fundamental learning competencies predominantly involved describing, identifying, listing, naming, relating, and explaining concepts within the domains of social studies and science. The interactive …

Development Of Prototype Of The Japa Tech Culture Application (Java Phonetic Alphabet) As A Media For Digitizing Javanese Phoneme Pronunciation Based On Android, Cicik Tri Jayanti, Dwi Sulistyorini, Febri Taufiqurrahman, Afifah Fitri Wahyuningtyas, Rayhan Rizky Fadhillah, Reynaldi Januar Hudayanto, Sindy Firnanda

Jurnal Pendidikan Humaniora

This study aims to develop an android-based Javanese phoneme pronunciation tech culture application for learning Javanese at the sound level. This research uses a simplified research and design (R&D) research method of the Borg & Gall model. The research stages include the pre development, development, and post-development stages. The data in this study are in the form of vowel phonemes, consonants, and Javanese language clusters and their realization in Javanese words. The source of research data is in the form of literature related to Javanese phonology as well as phonologists and linguists.

Learner Characteristics Based On Generational Differences, Zahid Zufar At Thaariq

Jurnal Pendidikan Humaniora

The advancement of technology has significantly shaped generational differences, particularly in how each generation adapts to learning. Educational contexts continue to evolve in response to these generational shifts. This study aims to examine learner characteristics based on generational differences through a traditional literature review. The selected literature focuses on various generational cohorts and their distinct approaches to learning. The findings reveal that each generation exhibits unique learner characteristics influenced by their historical and technological context. The Greatest Generation emphasizes initiative in learning; the Silent Generation prioritizes standardized learning; Baby Boomers value learning independence; Generation X seeks balance in learning; Millennials …

April 9, 2026, James Madison University

The Breeze, 2020-

The Breeze is the student newspaper of James Madison University in Harrisonburg, Virginia.