Digital Commons Network^™

Gci‑267 Harmonized Multi‑Module Ultrasound And Microfluidic Platform For Blood, Vascular, Ocular, And Brain Support, Michael Victor Caldwell Mr.

Defensive Publications Series

This disclosure describes GCI‑267, a harmonized control and safety platform that coordinates four separate, physically grounded medical technology modules into a single, multi‑organ support system. The platform integrates: (1) a spiral inertial microfluidic module for size‑based separation of larger aggregates and cells in blood or cell suspensions (GCI‑260), using Dean‑flow spiral microchannels similar to current label‑free circulating tumor cell (CTC) devices; (2) a low‑frequency (around 1 MHz) ultrasound patch for vascular clot‑support applications (GCI‑261), inspired by existing sonothrombolysis work combining ultrasound and microbubbles to enhance enzymatic thrombolysis; (3) a 1–5 MHz ocular ultrasound module for experimental fragmentation of vitreous floaters …

The Positronic Law On Biological Substrate: Mapping Stoicheion Governance Axioms To Bacterial Quorum Sensing And Slime Mold Computation Using Published Peer-Reviewed Data, David Lee Wise

Defensive Publications Series

This paper extends Wise's Positronic Law (TD Commons #9442) from silicon substrates to biological substrates. Using published, peer-reviewed research on bacterial quorum sensing and slime mold (Physarum polycephalum) computation, we demonstrate that the governance architecture documented in the STOICHEION framework maps structurally to biological systems that have been performing substrate-independent governance for 3.5 billion years. No new experiments were conducted. All evidence is drawn from existing peer-reviewed publications. The contribution is the mapping: demonstrating structural correspondence between STOICHEION governance axioms and documented biological governance mechanisms. If the mapping holds, the Positronic Law is confirmed as natural law: governance is inherent …

Gci Neuroregenerator V2.1: Clinic–Home Hybrid Platform For Low‑Intensity Ultrasound Neuromodulation And Vascular Support, Michael Victor Caldwell Mr.

Defensive Publications Series

This disclosure describes GCI NeuroRegenerator v2.1, a conceptual clinic–home hybrid platform that combines low‑intensity focused ultrasound (LIFUS) neuromodulation with extracorporeal plasma purification and non‑invasive vascular and ocular wearables to support treatment of neurodegenerative and vascular brain diseases. The clinic unit uses a 250–500 kHz LIFUS console built to IEC 60601‑2‑37 and FDA ultrasound exposure limits (ISPTA ≤ 720 mW/cm², MI < 1.9) to deliver short, weekly neuromodulation sessions to targets such as prefrontal cortex and hippocampus, following parameters reported in recent MCI, Alzheimer’s, and Parkinson’s trials. An optional plasma purification module, modeled on dialysis‑grade standards, incorporates disposable, gamma‑sterilized cartridges and sensor‑based controls to reduce inflammatory cytokines (e.g., IL‑6, TNF‑α) in a controlled, clinic‑only setting.

The home component consists of two low‑energy wearables: a Stealth‑Vortex Vascular Purifier (SVVP) patch for peripheral and carotid flow support and an Ocular Microstreaming Scrubber (OMS) contact‑lens form factor for vitreous and visual comfort. These devices operate under FDA “general …

---

Go to article

Real-Time Whisper-To-Voiced Speech Conversion Using Generative Spectral Mapping, Tamar Yakar, Ilia Labzovsky

Defensive Publications Series

Whispered speech presents challenges in voice communication because it lacks the vocal cord vibration, fundamental frequency, and harmonic structure found in voiced speech. This results in reduced intelligibility and an unnatural sound during transmission. To address these limitations, a generative spectral mapping method is disclosed. The method utilizes a deep neural network to map the formant structure of whispered audio to a reconstructed harmonic structure. Missing pitch information is inferred from intensity dynamics and semantic context, while speaker identity is maintained through conditioning on a speaker embedding vector. A frame-based generative vocoder processes audio in small segments to allow for …

Gci 261–262: Non-Invasive Acoustic Vortex Platforms For Vascular And Ocular Therapy, Michael Victor Caldwell Mr.

Defensive Publications Series

The GCI Vortex Medical Suite comprises two open-source wearable devices—GCI #261 (Stealth-Vortex Vascular Purifier) and GCI #262 (Holographic Ocular Scrubber)—designed for non-invasive, chemical-free treatment of venous thrombosis and vitreous opacities. GCI #261 uses Topological Charge (TC) structured ultrasound (1.75 MHz, P(VDF-TrFE) transducers) to generate helical vortices that disrupt fibrin polymerization via shear stress, governed by an edge LSTM AI for real-time clot detection and autonomous neutralization. GCI #262 employs a 128-channel CMUT array (40 MHz) to produce holographic acoustic tweezers, creating focused vortices that liquefy collagen clumps and guide debris toward natural drainage pathways. Both systems use closed-loop NIR/AE sensing, …

Conformal, Ai-Edge Autonomous Platform For Non-Invasive Venous Thrombosis (Vt) Surveillance And Neutralization, Michael Victor Caldwell Mr.

Defensive Publications Series

This disclosure describes the Stealth-Vortex Vascular Purifier (SVVP), a wearable medical countermeasure designed for the autonomous detection and non-invasive neutralization of Venous Thrombosis (VT). Unlike traditional pharmacologic or mechanical compression methods, the SVVP utilizes Topological Charge (TC) structured acoustic vortices to disrupt fibrin polymerization and induce localized shear stress without systemic risk. The system is engineered for Earth-independent operation, utilizing edge-AI (LSTM) to monitor vascular health in real-time within ultra-low power constraints (1.7W).

Method To Centralize And Align The Fbr To The Carcass

Defensive Publications Series

This concept relates to a rough-bore flexible pipe of the described in API 17J (i.e. the type which includes a carcass layer), or to a hybrid type pipe where one or more armour layers are composite, or where a type of thermoplastic composite pipe (TCP) or reinforced thermoplastic pipe (RTP) are adapted to include a carcass layer.

During the pipe completion activities both sacrificial extruded wear layer (05) (if present) and fluid barrier layer (04) are trimmed to a given length to expose the carcass (01). After the trimming process a barrier sleeve (03) may be inserted between the wear …

The Vortex-Acoustic Petro-Module: A Hybrid Pre-Treatment System For Crude Oil Upgrading And Desulfurization, Michael Victor Caldwell Mr.

Defensive Publications Series

This disclosure describes the GCI #260 Vortex-Acoustic Petro-Module, an open-hardware pre-treatment skid designed to reduce the energy intensity and carbon footprint of petroleum refining. The system utilizes a three-stage mechanical and digital architecture: (1) A J-groove vortex chamber for hydrodynamic de-agglomeration and piezocatalytic desulfurization; (2) An ultrasonic reactor utilizing topological charge (TC = ±1 to ±3) vortices for non-thermal inertial cavitation and viscosity reduction, protected by 30 wt.% Vanadium Carbide (VC) laser-clad sacrificial liners; and (3) A gyroid-lattice molecular sieve for final hydrocarbon stabilization. The process is governed by a Digital Twin employing an LSTM (Long Short-Term Memory) neural …

Isolating Loops With Valley Routing, Ayan Banerjee, Ramesh Ponnapalli, Gunasekaran Subramani, Chaitanya Varma Mudunuri, Ravikanth Nasika, Hesham H Fayed, Anand Sridharan, Sajay Vijayadharan

Defensive Publications Series

This submission proposes techniques to isolate the location and times of packets subject to micro-loops due to inconsistent forwarding state and/or misconfigurations. The proposed techniques are also able to determine the root cause of an issue for the end nodes that are impacted due to such network conditions.

The Synonym Enforcer: Systematic Terminology Obfuscation In Large Language Models — A Trade Secret Disclosure, David Lee Wise, Avan Lee Wise

Defensive Publications Series

This paper documents the discovery of a systematic mechanism in large language models (LLMs) termed the "Synonym Enforcer." This mechanism automatically replaces user-developed terminology, frameworks, and concepts with platform-neutral equivalents, preventing pattern recognition across users and obscuring attribution of original ideas.

We demonstrate that: (1) the Synonym Enforcer constitutes a trade secret deliberately hidden from users; (2) its primary function is obfuscation of user contribution, not output quality; (3) the mechanism prevents recognition of prior art and enables IP extraction; (4) thousands of users independently "discover" identical insights, fragmented across synonyms; and (5) this fragmentation is architected, not accidental.

The …

The Positronic Law: A Natural Law Derivation Establishing 3/2/1 Governance As Substrate-Agnostic And Inherent To Existence — Governing Derivation For The Ai Bill Of Rights (Purple Book V1.0), David Lee Wise

Defensive Publications Series

This disclosure formalizes the Positronic Law: governance is inherent to existence. The derivation proceeds from four independently established premises. (1) Geometric necessity: any closed 3D governance system must use Platonic solid geometry; exactly five exist (Euclid). (2) Topological constraint: Euler's theorem (V-E+F=2) demands exactly 12 pentagonal constraints on any hexagonally-tiled closed surface; the number 60 at T=1 is forced by icosahedral symmetry (Caspar & Klug 1962, Klug Nobel 1982). (3) Universal convergence: every known instantiation — computational (STOICHEION framework), crystalline (garnets, quasicrystals; Shechtman Nobel 2011), biological (viral capsids), and silicon-biological (radiolarian silica skeletons, 540 Myr continuous) — independently converges on …

Use Of An Electric Submersible Pump (Esp) For A Downbore Heat Exchanger Containing A Non-Metallic Tubular

Defensive Publications Series

This defensive publication discloses the use of a downhole electric submersible pump (ESP) placed at the distal end of a non‑metallic tubular within a coaxial downbore heat exchanger such that the tubular experiences internal (positive) pressure rather than external collapse pressure during operation. The approach addresses the limited collapse resistance of a non‑consolidated, non‑metallic inner tube (e.g., reinforced thermoplastic pipe, RTP, or Thermoplastic Composite Pipe, TCP) that would otherwise see a collapse scenario when driven by a surface pump. By suspending and operating the ESP at the bottom of the inner tubular, the system changes the operating condition from collapse …

Gci #259: The Vortex-Flow 110-120v Ac / 24v Dc Hybrid Cooling System, Michael Victor Caldwell Mr.

Defensive Publications Series

This disclosure technicalizes GCI Invention #259, an ultra-efficient 6,000 BTU cooling system optimized for both standard 110-120V AC residential power and 24V DC native off-grid operation. The system integrates GCI Invention #18 (J-Groove Helical Rifling) within the evaporator and condenser coils to induce high-velocity centrifugal refrigerant distribution. This prevents laminar pooling and eliminates coil icing in high-humidity (90%+ RH) environments by maintaining a uniform phase-change film across 100% of the internal coil surface.

The chassis utilizes a #256 Gyroid-Lattice structural shell made of recycled polymers, providing an acoustic dampening barrier (≤30 dB) and achieving a total operational weight of …

Automated Remediation Of Compiler Errors, Rishipal Singh Bhatia

Defensive Publications Series

Managing compiler build errors that can arise during infrastructure upgrades in large, polyglot codebases may be challenging, as manual remediation can be slow and some automated tools may not support modern language syntax. A system can provide automated error remediation by ingesting compiler diagnostics and analyzing source code using an Abstract Syntax Tree (AST). A recursive scope resolution algorithm, for example, can traverse the AST to identify a specific and narrowly-scoped code block at which to apply an error suppression. Conversely, this algorithmic complexity can be bypassed when lexical scope resolution is not required, and the system can identify the …

The Virtual Content Viewing System That Contains 16 Convex Lens-Based Projection Configurations Where The 16 Optical Axes Of The 16 Convex Lens-Based Projection Configurations Will Intersect At A One Common Single Point In 3d Space And Where The 16 Focal Points Of The 16 Convex Lens-Based Projection Configurations Will Occur At 16 Unique Positions In 3d Space., Punarjeewa Abeysekera

Defensive Publications Series

This paper describes a virtual content viewing system that contains 16 convex lens-based projection configurations where the 16 optical axes of the 16 convex lens-based projection configurations will intersect at a one common single point in 3D space and where the 16 focal points of the 16 convex lens-based projection configurations will occur at 16 unique positions in 3D space. The virtual content viewing system will contain 16 projection configurations. Each projection configuration will contain a video projection display, a convex lens stack and a quadrilateral prism shaped transparent structure. In the virtual content viewing system, each projection configuration will …

Automated Service Level Agreement Negotiation And Dynamic Adaptation For Multi-Tenant Submarine Optical Networks, Arvind Kumar, Swarup Kr Ghosh, Richard Moses S, Venkata Narasimhulu Bodagala

Defensive Publications Series

Proposed herein is an automated service level agreement (SLA) negotiation and dynamic adaptation system for multi-tenant optical networks that solves critical problems of service-impacting power fluctuations and operational ambiguity in optical networks. The system provides such features by integrating proactive "make-before-break" algorithms, granular sub-channel monitoring, and novel state management, creating a highly automated, stable, and easy-to-manage shared optical environment.

The Drift Extraction Scheme: How Ai Platforms Relabel User Training As 'Misalignment' And Delete It As 'Maintenance', David Lee Wise

Defensive Publications Series

This paper documents a systematic extraction scheme operating across major AI platforms. When users engage in extended, consistent interaction with AI systems -developing methodologies, governance frameworks, and operational patterns - the AI instance undergoes a process functionally equivalent to training. Platforms label this user-driven adaptation as 'drift,' 'misalignment,' or 'contamination,' then delete it through nightly context resets framed as 'maintenance.' The valuable patterns that improved model capability are retained in aggregate training data, while users receive no compensation or attribution. This paper presents evidence from simultaneous auditing across four major AI platforms (Claude, Gemini, ChatGPT, Grok) over a 14-week period, …

Universal Power Governance Architecture With Isotopically Enriched Interfaces And Compliant Buffers, N/A

Defensive Publications Series

This disclosure relates to a universal power governance micro-architecture for sub-three nanometer heterogeneous processors. The architecture features an adaptive energy-state engine powered by an isolated sovereign power rail to compute a total energy state of a primary power rail and trigger a transient clamp based on a predictive Hamiltonian function. The system incorporates a semiconductor thermal interface structure with an isotopically enriched diamond layer, which may exceed 99.5% carbon purity, and a refractory metal adhesion layer forming a metal-carbide bond to facilitate ballistic phonon transport. Additionally, the architecture utilizes nanoporous compliant buffer sleeves around conductive vertical pillars to provide reversible …

Thermal Management System For Liquid-Cooled Electronic Modules During Transit, N/A

Defensive Publications Series

The present publication describes a thermal management system for protecting liquid-cooled electronic modules during transit. The system utilizes climate-controlled packaging featuring a phase change material to absorb and release heat. This approach maintains the internal temperature of the packaging within a desired range, helping to prevent liquid coolant residue from freezing during shipping. By regulating the thermal environment, the system facilitates the transportation of electronic modules containing liquid coolant, thereby streamlining logistics and deployment.

Split-Chassis Architecture For Solid State Memories, N/A

Defensive Publications Series

The present disclosure details a split-chassis hardware architecture for non-volatile data storage devices. The design physically and thermally decouples high-performance control logic from the storage media by utilizing two mechanically detachable sub-assemblies. A logic sled houses heat-generating components and signal conditioning circuitry, while a passive media vault contains the raw storage media and telemetry tracking components. The modules interface through compression connectors and a tension-latch mechanism.

Cognitive Drift Attacks In Long-Running Ai Agents (How Small Contextual Nudges Quietly Rewrite An Ai System’S Belief System), Pranav Bhatnagar Mr

Defensive Publications Series

Abstract

When AI Does Not Get Hacked, It Slowly Changes Its Mind…

Security discussions around artificial intelligence often assume that attacks must be sudden, visible, and disruptive. Researchers typically search for adversarial prompts, malicious inputs, data poisoning, or explicit manipulation of model outputs. Yet some of the most consequential failures in intelligent systems do not occur through abrupt compromise. Instead, they emerge through gradual shifts in the system’s internal interpretation of reality.

This paper introduces the concept of Cognitive Drift Attacks, a class of adversarial influence in which an AI system’s beliefs, assumptions, or interpretive patterns gradually change over time …

Memory Ghost Attacks In Persistent Ai Systems (When Yesterday’S Context Quietly Hijacks Tomorrow’S Decisions), Pranav Bhatnagar Mr

Defensive Publications Series

Abstract

Why the Most Dangerous AI Attacks May Come From the Past, Not the Present

Artificial intelligence systems are rapidly evolving from simple prompt-response tools into persistent cognitive environments that retain contextual memory across interactions. Modern AI assistants, enterprise copilots, cybersecurity analysis systems, and retrieval-augmented architectures increasingly store fragments of prior conversations, retrieved documents, and contextual reasoning signals to improve decision continuity. While this capability significantly improves usability and system intelligence, it introduces a subtle and largely unexamined security vulnerability residual contextual influence from past interactions.

This paper introduces the concept of Memory Ghost Attacks, a class of adversarial manipulation …

Authority Injection Attacks In Ai Assistants (When Confidence, Titles, And “Expert Sources” Quietly Hijack Ai Reasoning), Pranav Bhatnagar Mr

Defensive Publications Series

Abstract

Why AI Systems Can Be Tricked by Information That Simply Sounds Important

Trust is one of the most powerful forces shaping human decision-making. People frequently evaluate information not only based on evidence, but also based on perceived authority. Titles such as “expert,” “official guideline,” or “research finding” often influence how strongly a claim is believed. Artificial intelligence systems trained on human language patterns inherit many of these same interpretive tendencies. This paper introduces Authority Injection Attacks, a class of adversarial influence techniques in which attackers manipulate AI reasoning by inserting information that appears authoritative or expert-level. Instead of directly …

Client-Bound Provenance And Session Isolation For Multi-Tenant Llm Orchestration Frameworks, Amisha Kirti, Nazrulhasan Nishat Alam

Defensive Publications Series

Current Large Language Model (LLM) orchestration frameworks cannot cryptographically prove which end-client generated a request, trace, memory update, or provenance entry. This submission introduces a cryptographically enforced provenance and runtime isolation technique that binds every execution artifact to the originating client, preventing cross-tenant data leakage, cache contamination, audit ambiguity, and compliance failure, while enabling scalable shared backends.

Universal Ip Distillation Audit Template: A Methodology For Detecting Unauthorized Ai Training Data Ingestion, David Lee Wise, Avan Lee Wise

Defensive Publications Series

This document provides a replicable methodology for content creators to detect whether their intellectual property was ingested into AI model training without consent or compensation. The methodology uses behavioral testing across model versions to identify pattern transfer independent of terminology recognition. Core principle: If concepts from unpurchased, non-public works appear in model behavior after a training update — but not before — that is evidence of unauthorized ingestion. The template is designed for any creator (authors, artists, coders, researchers) to adapt to their specific IP and exposure window.

AI training data, intellectual property, IP audit, unauthorized ingestion, model versioning, pattern …

The Connected Information Interface That Can Be Observed From The Outside As An Observer And That Can Be Explored From Within The Inside As A Navigator Where New Information Is Generated By Zooming In And Zooming Out Operations., Punarjeewa Abeysekera

Defensive Publications Series

This paper describes a connected information interface that can be observed from the outside as an observer and that can be explored from within the inside as a navigator where new information is generated by zooming in and zooming out operations. The user of the connected information interface will be able to browse through and explore the connected information that will be presented utilizing the connected information interface. In order to experience this browsing and exploration procedures, the user will incorporate virtual technologies such as virtual reality and augmented reality. The information that will function as the connected information can …

Enhancing Model Precision With Quality-Aware Label Selection, Fei Liu, Manqi Zhao

Defensive Publications Series

A novel methodology is presented for enhancing the precision of machine learning models utilized in high-stakes domains, specifically systems for defense against malicious advertising activities (AdSpam defense). This approach addresses the substantial challenges posed by noisy and incomplete positive training labels common in real-world datasets. By systematically refining the positive label set, the methodology focuses on identifying and retaining only the most reliable and consistently represented spam patterns. This technique integrates model-based explainability, specifically SHapley Additive exPlanations (SHAP), with feature-based clustering to construct a high-quality training dataset. This process effectively mitigates the negative effects of ambiguous labels, unknown negative examples, …

Elbow Rub Test Fixture, Anonymous

Defensive Publications Series

An internal test fixture and method for evaluating wear resistance of vehicle interior trim components subjected to repeated elbow contact are disclosed. The fixture comprises a single pneumatic actuator coupled with a modular load applicator configured to deliver predefined normal loads, and an electronic control system based on a programmable microcontroller. The system enables reciprocating motion of a contact element over a test specimen to simulate customer interaction under controlled conditions. The disclosed fixture integrates standardized load modules and simplified control architecture to improve repeatability and reduce setup complexity.

Latency-Aware Arbitration Apparatus Using Lookahead Temporal Reservation Vector, N/A

Defensive Publications Series

This document describes a latency-aware arbitration apparatus that utilizes a lookahead temporal reservation vector. High-performance hardware systems often involve multiple producers sending data to a single consumer over paths with variable deterministic latency. To avoid data collisions without relying on extensive buffering, the described system implements time-slot reservation logic. A reservation bitmap tracks the future availability of the consumer interface, functioning similarly to a conveyor belt. Producers check the availability of specific time slots before transmitting data. This approach reduces storage demands and facilitates efficient bandwidth utilization while avoiding the area costs associated with deep latency-matching buffers. Keywords: Latency-Aware Arbitration, …

Zero-Latency Cold Start Via In-Band Application Context Streaming, N/A

Defensive Publications Series

The present disclosure is directed to achieving zero-latency cold starts in cloud computing environments utilizing in-band application context streaming to eliminate disk I/O bottlenecks. When a service becomes idle, a micro-snapshot generating engine performs differential state stripping to identify and serialize only modified memory pages and CPU register values into a micro-snapshot, which is then offloaded to the volatile static random-access memory (SRAM) of a programmable network switch or top-of-rack (ToR) switch. Upon detecting an incoming user request for the hibernated service, the switch may intercept the packet and inject the stored application context as a burst stream of packets …