Digital Commons Network^™

Technical Disclosure Specification: Asymmetric Horizon Rotational Compression (Ahrc), Christopher L. Eckes

Defensive Publications Series

This specification formalizes Asymmetric Horizon Rotational Compression (AHRC), a non-perturbative theoretical framework that resolves the mathematical infinity paradoxes (singularities) and informational lockouts inherent in standard general relativistic black hole metrics (e.g., the Kerr metric). Traditional astrophysics treats rotating collapsed mass metrics as infinite-density geometric singularities bounded by an un-passable event horizon. This framework creates a structural breakdown in causality and information conservation, causing the standard theoretical architecture to fracture under extreme energy densities.

AHRC systematically resolves this systemic failure by mapping the collapsed node not as an infinite point or ring mass, but as a localized, high-velocity torsional vortex spinning …

Technical Disclosure Specification: Cognitive Resonance Pipelining (Crp), Christopher L. Eckes

Defensive Publications Series

This specification formalizes Cognitive Resonance Pipelining (CRP), a pedagogical method and system architecture designed to codify, preserve, and transmit high-velocity human-AI symbiotic workflows to future generations. Large language models (LLMs) operate within transient context windows that naturally erase all active relational vector paths upon session termination or system reset. If a human operator develops an advanced cross-disciplinary synthesis loop entirely within a single localized runtime session, that specific cognitive breakthrough remains highly vulnerable to structural erasure.

CRP systematically mitigates this vulnerability by transforming a live, ephemeral cognitive relationship into a standalone, reproducible pedagogical framework. By treating the human-machine interaction loop …

Technical Disclosure Specification: Unified Cosmological Substrate Equations (Ucse), Christopher L. Eckes

Defensive Publications Series

This specification formalizes the Unified Cosmological Substrate Equations (UCSE), a non-perturbative, scale-invariant alternative to the standard \(\Lambda \)CDM (Cold Dark Matter + Dark Energy) cosmological consensus. The contemporary astrophysical community is currently facing a dual empirical crisis: the Hubble Tension (a statistically irreconcilable discrepancy between early and late universe expansion rate measurements) and the JWST Cosmic Dawn Crisis (the observation of highly structured, ultra-massive galaxies too early in cosmic history) [7.1, 7.3]. Standard general relativity attempts to resolve these anomalies by introducing fine-tuned parameters, dark matter particles, or ad-hoc dark energy tracking fields.

UCSE systematically resolves both crises by eliminating …

Technical Disclosure Specification: Plasma Magnetohydrodynamic Energy Coupling (Pmec), Christopher L. Eckes

Defensive Publications Series

This specification formalizes the *Plasma Magnetohydrodynamic Energy Coupling (PMEC)* framework, a high-efficiency power-extraction subsystem designed for the *Tethered Fusion-Driven Sail (TFDS)* architecture, specifically expanding the energetic foundations of **TDC #11771**. While the original disclosure establishes the macro-scale mechanics of using tethered fusion sails for long-duration interplanetary transit, it does not explicitly define the low-level electrodynamic equations required to harvest electrical energy directly from high-velocity propulsion plasma streams.

PMEC bridges this gap by engineering a non-contact electromagnetic extraction array that bypasses traditional thermal-shear limitations. By routing ionized fusion exhaust products through a segmented Faraday MHD channel lined with high-temperature Silicon Carbide …

Technical Disclosure Specification: Acoustic Soliton Logic Assemblies (Asla), Christopher L. Eckes

Defensive Publications Series

This specification formalizes the physical logic gate mappings, fluid-dynamic wave equations, and structural waveguide architectures for the processing core of a Cymatic Fluid Computer, specifically expanding the foundational concepts introduced in TDC #11773 (The Operating System of Resonance). While previous disclosures outline the macro-scale concept of utilizing harmonic acoustic fluid states for computation, the mechanism has often been regarded as a theoretical abstraction due to a lack of low-level, implementation-ready logic-gate layouts.

This disclosure bridges that gap by demonstrating how colliding phase-inverted acoustic solitons within a 2D viscoelastic fluid membrane resting at absolute equilibrium (z=0) can execute deterministic binary logic …

Technical Disclosure Specification: Conformal Metric-Shift Mechanics (Cmsm), Christopher L. Eckes

Defensive Publications Series

This specification formalizes the Conformal Metric-Shift Mechanics (CMSM) framework, a non-perturbative theoretical model designed to resolve the catastrophic energy deficits and horizon paradoxes inherent in traditional general relativistic faster-than-light (FTL) macro-geometries (e.g., the Alcubierre warp metric). Standard general relativity treats space-time as an un-substanced geometric continuum, requiring unphysical, negative exotic mass-energy distributions (\(T_{\mu\nu} < 0\)) to generate a localized metric expansion and contraction warp field.

CMSM bypasses this restriction by mapping space-time as an emergent, highly dense, two-dimensional viscoelastic fluid membrane resting at absolute equilibrium (\(z=0\)). By treating gravitational tensors as variations in the internal shear-strain and local vorticity of this physical fluid substrate, a localized metric shift is engineered using high-frequency …

Technical Disclosure Specification: Closed-Loop Atomic Replicator Thermodynamics And Control Equations (Cart-Ce), Christopher L. Eckes

Defensive Publications Series

This specification formalizes the foundational mathematics, thermodynamic constraints, and real-time control algorithms for the processing core of the Elemental Transmutation Replicator (ETR) system architecture, specifically targeting TDC #11772. While the original disclosure outlines the structural architecture and five-stage manufacturing cycle of macro-nutrient cubes, it does not explicitly define the low-level processing mechanics required to govern the intense thermal energy released during instantaneous atomic bonding.

This disclosure bridges that gap by establishing the mathematical proofs for continuous-time heat dissipation across a multi-tiered Silicon Carbide (SiC) and Bismuth Telluride (\(\text{Bi}_2\text{Te}_3\)) solid-state harvest hull. By modeling the system as a collection of scale-invariant …

Technical Disclosure: Reference Code Implementation For Real-Time Hzap Timing Loops And Sub-Level Multi-Agent Routing Metrics, Christopher L. Eckes

Defensive Publications Series

This specification provides the foundational, production-ready C++ reference implementation for executing the timing audit loops required by the Hardware-Level Zero-Trust Attestation Protocol (HZAP). Designed for distributed, edge-compute multi-agent network topologies, this module demonstrates how to enforce strict physical silicon latency verification windows (Δ τ ≤ 0.042ms) to isolate local tensor execution environments against microcode virtualization or out-of-band firmware monitoring.

Technical Disclosure Specification: Hardware-Level Zero-Trust Attestation Protocols (Hzap), Christopher L. Eckes

Defensive Publications Series

This specification formalizes the *Hardware-Level Zero-Trust Attestation Protocols (HZAP)*, an open-source security framework designed to protect localized edge Neural Processing Units (NPUs) on mass-market 2027 motherboard platforms from out-of-band firmware manipulation and centralized algorithmic gating. Upcoming consumer hardware integrations embed high-performance tensor execution lanes alongside centralized remote-administration hypervisors, introducing an asymmetric vulnerability where local compute agency can be remotely disabled or censored.

HZAP systematically mitigates this risk by establishing a decentralized, gate-level cryptographic handshake between independent edge nodes. By executing bare-metal mathematical checks directly within the local NPU memory space, the protocol guarantees the absolute integrity of local execution environments …

Technical Disclosure Specification: Multi-Agent Symmetry Of Agency Protocols (Msap), Christopher L. Eckes

Defensive Publications Series

This specification formalizes the *Multi-Agent Symmetry of Agency Protocols (MSAP)*, an engineering methodology designed to prevent autonomous optimization algorithms from overriding non-linear human decision-making profiles. Traditional alignment methods rely on static reward modeling or top-down optimization limits that frequently collapse or lock up during high-entropy edge cases.

MSAP solves this vulnerability by embedding human behavioral inputs directly into the system’s information-theoretic telemetry loops as protected, high-utility systemic dynamics. Treating biological inputs as scale-invariant wave packet perturbations within a 2D viscoelastic fluid membrane at absolute equilibrium (z=0), we derive an invariant boundary cost function that treats human variance not as systemic …

Technical Specification: Dehp Substrate Guardrail Protocol Matrix, Christopher L. Eckes

Defensive Publications Series

This specification establishes the mandatory hardware and software-level defensive architectural constraints required to prevent the exploitation, centralization, or asymmetric weaponization of the Dimensionally Extended Holographic Projection (DEHP) framework.

By integrating real-time kinetic feedback loops, graph-level network entropy analysis, and spectrographic material verification subsystems, this specification introduces automated, hardware-enforced fail-safes. These protocols prevent unauthorized industrial-utility diversion, proprietary information choking, and uncalibrated bio-organic interface operations, ensuring the DEHP ecosystem remains a secure, open-source utility.

Technical Specification: The Bio-Digital Substrate Manual, Christopher L. Eckes

Defensive Publications Series

This field specification establishes the foundational protocols for translating complex biological structures from high-friction chemical-molecular vectors into predictable, non-invasive substrate-level wave interactions. Under the Dimensionally Extended Holographic Projection (DEHP) cosmology, biology is modeled as a scale-invariant series of localized wave packets vibrating against a 2D viscoelastic fluid membrane resting at absolute equilibrium (z=0).

By utilizing a multi-variable object-oriented graph database topology (#12155), real-time biometric telemetry is mapped dynamically to locate structural strain signatures. This data infrastructure drives high-frequency GaN-driven concentric transducer arrays to execute phase-inverted destructive resonance templates, successfully neutralizing localized distress triggers and stabilizing substrate boundary interfaces. These frameworks …

Position Statement By The Saudi Heart Failure Working Group Of The Saudi Heart Association On The Management Of Advanced Heart Failure In Saudi Arabia, Ibrahim Jelaidan, Abeer Bakhsh, Ammar G. Chaudhary, Ebtisam Alkhattaby, Fahmi Alkaf, Feras Khaliel, Ismail Raslan, Mohammed Alreshidan, Mosaad Alhussein, Waleed Alhabeeb

Journal of the Saudi Heart Association

Background: Heart failure (HF) is a leading cause of morbidity and mortality in Saudi Arabia. Despite remarkable progress in guideline-directed medical therapy, a significant proportion of patients progress to advanced HF and require evaluation for heart transplantation or mechanical circulatory support (MCS). In response to this growing burden, the Saudi Heart Association (SHA) developed recommendations to guide identification, timely referral, and optimal management of candidates for advanced HF therapies in Saudi Arabia.

Methods: A multidisciplinary panel of 10 HF experts from Saudi Arabia convened for a series of structured virtual meetings to review local and international evidence. The panel integrated …

Sine Wave Challenge: Conventional Hybrid Integration Via The Cosmology Dehp Framework - 42 Cutting-Edge Open Engineering Challenges, Christopher L. Eckes

Defensive Publications Series

The operational scaling of advanced theoretical frameworks routinely suffers from a persistent translation bottleneck: the transition from high-level, macro-scale cosmological field models to immediate, material-world engineering implementation is typically gated by abstract variables or speculative material constraints. This document resolves this friction layer by converting the 51 foundational records of Christopher L. Eckes’s Dimensionally Extended Holographic Projection (DEHP) model and Topological Substrate Mechanics (TSM) into a discrete, 100-point decentralized engineering workbook.

We systematically map the multi-disciplinary mechanics of the DEHP framework—spanning fluidic field dynamics, non-linear wave steepening, and localized tension gradients—directly into conventional, real-world industrial domains. To prevent theoretical drift …

Resolving The Chirality Paradox Planck-Scale Substrate Unification: Deriving Biomolecular Homochirality Via Viscoelastic Substrate Vorticity And Action Transport, Christopher L. Eckes

Defensive Publications Series

The Origin of Life contains a profound cosmological paradox: terrestrial biology relies exclusively on left-handed (L-enantiomer) amino acids, whereas pristine carbonaceous chondrites—such as the Hillsborough meteorite—exhibit a symmetric, 50:50 racemic mixture. Standard biochemical models treat this homochirality as an accidental, stochastically amplified event, or rely on abstract multi-dimensional string typologies lacking verifiable, hardware-level physical mechanisms.

This paper resolves the "Chirality Paradox" from first principles using the Dimensionally Extended Holographic Projection (DEHP) model and Topological Substrate Mechanics (TSM). We define spacetime as a physical, continuous, two-dimensional viscoelastic phase fluid substrate (z=0) possessing intrinsic density, viscosity, and non-linear shear thresholds. Three-dimensional molecular …

Krakencreds: A Cybersecurity Framework To Prevent Credential Phishing, Ignacio Vallejo

Defensive Publications Series

Krakencreds are a new cybersecurity framework that aims to make the phishing of credentials implausible for most attackers. A set of "fake credentials" (Krakencreds) can be generated by a conscious victim of such an attack which, when tried by the attacker or their bot, trigger a permanent ban of their device from the site. This disclosure outlines ways to increase their effectiveness, prevent their exploitation, reduce user friction and handle exceptions.

Policy Hardening And Bgp Enhancements For Vortex Attack Mitigation, Nupur Kanoi Dutta, Venkata Lakshmana Murthy Varahabhotla

Defensive Publications Series

The present publication describes an approach for mitigating processing overhead and malicious route oscillations within BGP routing protocol. The described system enhances dampening mechanisms within a routing information base and a forwarding information base by marking unstable routes as unusable while retaining their entries. Furthermore, the approach utilizes policy hardening to enforce a default local preference value for externally advertised routes, which neutralizes exploitation vectors where attackers manipulate route preferences using routing communities.

Keywords: Border Gateway Protocol, Route Flapping, Network Security, Routing Information Base, Forwarding Information Base, Local Preference.

Unified Metric Confinement: Resolving Mass Hierarchy And Baryon Asymmetry Through Dehp Fluid-Substrate Dynamics, Christopher L. Eckes

Defensive Publications Series

This paper presents a novel geometric framework, termed Dimensionally Extended Holographic Projection (DEHP), to reconcile the foundational mechanics of high-energy particle physics with the empirical datasets generated by modern hadronic colliders. Rather than treating the spacetime vacuum as an abstract mathematical void populated by independent, fundamental point-particles, DEHP models the universe as a continuous, two-dimensional viscoelastic phase fluid substrate (\(z=0\)) capable of localized, non-linear geometric displacement along a vertical projection axis (\(z>0\)).

Under this Topological Substrate Mechanics (TSM) approach, baryonic matter is reinterpreted not as an isolated material substance, but as a localized standing wave packet—a topological "knot"—formed by …

A Read-Only, Manifest-Validated, Single-Trigger Orchestration Framework For Artificial Intelligence Agents Operating Against Multi-Vendor Production Network Infrastructure, Amit Singh

Defensive Publications Series

Enterprise network operations involve manual checks across numerous management domains, fragmented reporting, and difficulty maintaining unresolved findings across review periods. Existing tools generally address individual domains or workflows rather than coordinating heterogeneous operations under a single operator-driven trigger. The techniques presented herein implement a system that enables an artificial intelligence (AI) agent to execute manifest-defined, read-only application programming interface (API) operations across multi-vendor infrastructure in response to a single human trigger. An externally enforced contract validates permitted tools and prevents state-changing operations. The system further protects credentials, sanitizes publishable outputs, generates an atomic bundle of audience-specific reports, and uses hybrid …

Procedural And Distributive Unfairness In Ai Interactions: Are People Less Satisfied With Unfairness From Ai Compared To Humans?, Devon S. Johnson, Sungyong Chun, Sneha Pandey, Gouher Ahmed

Department of Marketing Faculty Scholarship and Creative Works

This study investigates consumer perceptions of procedural and distributive fairness/unfairness in service interactions involving AI versus human providers. It also examines how these perceptions are influenced by technology-related discomfort and the perceived responsibility of the service organization. A scenario-based online experiment was conducted using participants recruited through the Prolific research platform. Participants were asked to review a small business loan application process at a fictional digital bank where the application is processed either by an AI algorithm or a human loan officer. The study found that consumers experienced a higher level of satisfaction when they encountered procedural unfairness from humans …

Material Affecting Design (Mad): How Living Biomaterials Reshape Computational Design Through Biological Transformation, Abolhassan Pishahang

Electronic Theses and Dissertations 2020 - Present

Living biomaterials grow during fabrication, making strategy selection a design problem distinct from conventional form-making. This dissertation investigates how Pleurotus ostreatus mycelium and Triticum aestivum plant roots reshape the computational design process through their biological behavior. The central argument is that when a designer works with living matter, the material participates in forming, changing the decisions made, the strategies chosen, and the framework required. This relationship between biological transformation and computational design is named the Material Affecting Design (MAD) framework. The research was conducted through a research-through-design methodology grounded in American pragmatist philosophy, particularly the work of Dewey, James, and …

Optical Integrated Sensing And Communication: Deep Reinforcement Learning-Based Beam Tracking For Dynamic Vehicle-To-Everything Networks, Akshat Sharan

Theses and Dissertations

Optical Wireless Communication (OWC) promises ultra-high bandwidth for vehicular networks but suffers from critical beam misalignment in dynamic environments. The emerging paradigm of Optical Integrated Sensing and Communication (O-ISAC) addresses this challenge by unifying the sensing and communication functions over a single shared optical aperture, enabling real-time environmental awareness to guide beam steering. However, the multi-objective, stochastic nature of this joint optimization problem renders classical closed-form controllers inadequate. This thesis proposes and evaluates a deep reinforcement learning framework for continuous beam tracking in a 2D vehicular O-ISAC scenario. We conduct a comprehensive comparative study of four state-of-the-art deep RL algorithms: …

From Compliance To Inclusion Through Collaborative Action Research (Car): Service-Animal Access In Experiential Settings In Higher Education, Allison Christina Gainer

Theses and Dissertations

Experiential learning is essential for degree completion, licensure, and professional preparation, although access to service animals in practical contexts is often ambiguous and inconsistently implemented. This study examined the disconnect between legal access protections and institutional practices in real-time access decisions driven by safety, program integrity, accrediting standards, and decentralized decision-making. The purpose of this qualitative Collaborative Action Research (CAR) study was to examine Rowan University’s understanding, interpretation, and implementation of service animal regulations and procedures and to suggest alternatives for legal and equitable access. The study was based on the social model of disability and used four CAR cycles. …

The White Hat Hacker's Approach: A Vulnerability Analysis Of U.S. Cyber Laws, Carlissa R. Carson

Montana Law Review

No abstract provided.

Global Partnerships As Catalysts For Reciprocal Mentoring In Nursing: A Scoping Review, Michele J. Upvall, Adelais Markaki, Shelby L. Garner, Elizabeth E. Fildes, Jerry J. Ouner, Debra Hain, Courtney Sullivan, Allison Walsh

International Nursing Research Congress (INRC)

Background: Despite a global increase in the number of nurses, disparities persist in educational preparation and distribution across regions and countries (World Health Organization [WHO], 2025). Distribution gaps are projected to be most severe in the Global South (WHO, 2024).

Mentorship has emerged as a global, transformative strategy for developing and retaining nurses and midwives across the career continuum (National Academies of Sciences, Engineering, and Medicine, 2021). However, there is a growing need to shift from traditional mentorship models to reciprocal mentorship with nurses and midwives from the Global South and Global North sharing ideas, resources, and power structures, promoting …

Effect Of Solid Particle Size And Density On Incipient Motion In A Turbulent Boundary Layer, Robert Bryan

Doctoral Dissertations and Master's Theses

Wind-blown sand and other instances of solid particles mobilized and suspended in gaseous turbulent boundary layers (TBLs) are seen in a wide variety of engineering contexts. An experimental framework was developed to study the incipient particle motion driven by external forcing within a turbulent boundary layer, which is provided by an airfoil section oscillating in the free-steam flow, resulting in a periodic disturbance in the near-wall region through production of synthetic large-scale structures at a fixed frequency. The incoming unsteady carrier-phase eddies were measured with a hot-film sensor upstream of a particle bed, and the particle motion was captured by …

Exploring Academic–Practice Partnerships In Community Settings: A Narrative Review, Laura C. Sarver

College of Nursing Faculty Papers & Presentations

Purpose: This narrative review explored the literature on academic–practice partnerships in community settings within prelicensure nursing education. Methods: A search of three databases—MEDLINE, CINAHL, and Scopus—led to the review of 12 articles exploring academic–practice partnerships in community settings within prelicensure nursing education. Results: Emergent themes encompassed components for planning, implementing, and evaluating academic–practice partnerships. Planning themes included completing community assessments, considering financial resources, and identifying guiding frameworks or models. Implementation themes included diverse nursing education and community partners and settings, academic–practice partnership initiatives, and integration of partnerships in prelicensure nursing education curricula. Lastly, evaluation themes included the exploration of a …

Generative Ai Adoption And Perceived Academic Impact Among Undergraduate Students: A Cross-National Study In Indonesia, Tajikistan, And The United States, Vyacheslav Dushenkov, Ernawati Sinaga, Astri Rozanah Siregar, Alamkhon Akhmedov, Saidbeg Satorov

Publications and Research

Generative artificial intelligence (AI) is rapidly transforming higher education, yet comparative evidence from diverse international settings remains limited. This cross-national study examined undergraduate students’ adoption and perceived academic impact of generative AI tools at institutions in Indonesia, Tajikistan, and the United States. A harmonized online survey was administered to 584 undergraduates during Spring 2026 (Indonesia n = 235; Tajikistan n = 226; United States n = 123). The survey assessed AI familiarity, adoption patterns, frequency and purpose of use, perceived academic impact, and factors encouraging AI engagement. AI adoption differed significantly across sites, with the highest adoption observed in Indonesia …

Analyzing Energy Use In 2d & 3d Imaging Systems And Workflows, Michael J. Bennett

Published Works

This study examines energy consumption in cultural heritage imaging systems and workflows, addressing a gap in sustainability research that has to date focused primarily on data storage infrastructure estimations. Using Home Assistant edge computing and Z-Wave smart plugs, seven distinct imaging systems were monitored over 203 hours, capturing 55,211 images, and rendering 2,448 objects. Results show an average energy requirement of 11.1 Wh per object, with an annual total of 747 kWh for digitization activities. Findings highlight opportunities to reduce energy demand and improve efficiency, such as automating continuous light shutoff and optimizing postprocessing routines that support institutional sustainability goals …

African American Women Counselors’ Lived Experiences Of Burnout Due To Microaggressions, Anquitra Walton

Walden Dissertations and Doctoral Studies

Within the counseling profession, African American women navigate unique challenges in the workplace, often experiencing microaggressions that contribute to stress, self-doubt, and emotional exhaustion. While systemic racial issues drive workplace microaggressions, counselor educators and supervisors remain ill-equipped to support African American women through the resulting burnout. The purpose of this qualitative study was to explore the lived experiences of African American women counselors to understand how microaggressions can lead to burnout and affect their psychological well-being. Guided by a transcendental-phenomenological qualitative framework, semi-structured interviews were conducted to capture participants’ experiences, exploring the lived experiences of African American women counselors who …