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Therepairer_Vol36no2_Feb1931

The Repairer

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Therepairer_Vol36no1_Jan1931

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Therepairer_Vol35no12_Dec1930

The Repairer

No abstract provided.

Therepairer_Vol35no11_Nov1930

The Repairer

No abstract provided.

Therepairer_Vol35no10_Oct1930

The Repairer

No abstract provided.

Therepairer_Vol35no9_Sept1930

The Repairer

No abstract provided.

Therepairer_Vol35no8_Aug1930

The Repairer

No abstract provided.

Therepairer_Vol35no6_Jun1930

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No abstract provided.

Therepairer_Vol35no5_May1930

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Therepairer_Vol35no4_Apr1930

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Quantum‑Enhanced Wearable Diagnostic Device, Bala Surya Kiran Rumpavalasa, Sumedha Ghuliani

Defensive Publications Series

Current medical diagnostics for systemic pathologies, which may rely on periodic and invasive clinical procedures, create a gap where sub-cellular shifts may progress undetected until physical symptoms manifest. Existing wearable biometric devices evaluate macro-level physiological lagging indicators and may lack the sensitivity to detect underlying atomic or chemical drivers of disease. Further, internal electromagnetic interference within consumer electronics may disrupt high-sensitivity quantum probes. This disclosure describes a computing device (the “device”) that utilizes a system-in-package containing synthetic diamond enriched with nitrogen-vacancy centers. A nested mu-metal shield encases the hardware to create a quiet zone, which allows the device to perform …

Optical And Inertial Tracking For Extended Reality, Sumukh A. Shevde, Sudeep Chauhan

Defensive Publications Series

This document describes techniques for a system that pairs a wearable device, such as a smartwatch or fitness tracker, with an Extended Reality (XR) device such as an XR headset, Virtual Reality (VR) headset, Augmented Reality (AR) glasses, or Head-Mounted Display (HMD), to improve how the XR device tracks hand movements. Typically, XR devices may use cameras and computer vision for tracking, but this optical tracking may decrease in accuracy when hands are out of view, such as behind a user’s back or under a desk. In some examples, the XR device includes a calibration loop that uses optical data …

Predictive Physical Hardware Actuation Via Llm-Based Semantic Code Analysis, Tamar Yakar, Ilia Labzovsky

Defensive Publications Series

Reactive autoscaling systems may cause performance degradation and thermal issues when deploying new code, as such systems often scale resources based on lagging indicators. A system can address this by integrating a large language model (LLM) into a continuous integration/continuous deployment pipeline. Before deployment, the system analyzes the semantic and structural impact of codebase modifications by processing code diffs and abstract syntax tree deltas, which can be augmented with historical telemetry data. The LLM then generates a resource delta prediction vector to quantify anticipated physical demands, such as central processing unit cycles and thermal output. This prediction may enable a …

Non-Reciprocal Osmotic Rectifier Operating At The Landauer Limit For Water Desalination, Donevin Frownfelter

Defensive Publications Series

A non-reciprocal osmotic rectifier for water desalination operating at the Landauer Limit (W ≥ k_B T ln 2) is disclosed. The system replaces conventional pressure-driven reverse osmosis with Lorentz-force ion separation using 256 REBCO superconducting gates arranged in a breathing double-torus topology around a fused silica microfluidic spine.

https://doi.org/10.5281/zenodo.20012002

https://orcid.org/my-orcid?orcid=0009-0008-7546-6952

Water channels are machined with aperiodic widths scaling by the golden ratio f(n) = 1.618mm · φⁿ to eliminate resonant turbulence. A nanoporous graphene-vortex membrane (σ_g = 178) with matching aperiodic porosity provides mass separation without Euclidean distortion. Unidirectional flow is enforced by orthogonal fluid gates that reflect any reverse …

Mobile Municipal Organic Waste Refinery & Pelletization System, Michael Victor Caldwell Mr.

Defensive Publications Series

This system is a modular municipal organic waste processing platform that converts bagged wet food waste into stabilized fertilizer pellets using a staged mechanical and thermal process:

1. Mechanical shredding

2. Screw-press dewatering

3. Exhaust-driven thermal stabilization (mobile)

4. Controlled belt drying (fixed plant)

5. Nutrient reintroduction loop

6. Ring-die pelletization

The system is designed to minimize landfill diversion load, reduce biological decomposition during transport, and produce standardized fertilizer pellets using lignin-based binding without chemical additives.

Recipient-Specific Watermarking Of Query Results For Live And Api-Delivered Structured Data, Aaron Burton

Defensive Publications Series

Recipient-specific watermarking of query results applies a per-recipient signal to the rows returned from a query, an API endpoint, or a streaming feed, so that structured data delivered as live query responses, rather than as static files, carries an attribution signal that survives normal analytical use. The watermark is embedded in the response payload at the moment the query is answered, and is keyed to the recipient identity associated with the request. When a later-observed copy of the data appears to have originated from the producer, the producer can match residual signals in the copy against the recipient keys it …

Confidential Computing Hosted Watermarking And Verification Of Structured Datasets, Aaron Burton

Defensive Publications Series

Confidential computing hosted watermarking applies and later verifies recipient-bound watermarks on a structured dataset entirely inside a trusted execution environment or a multi-party data clean room, so that the producer's source data is not exposed to the verifier and the verifier's signals are not exposed to the producer. The enclave receives the source dataset, the recipient identity, and the watermark policy, produces a recipient-bound watermarked variant whose carriers are visible only to the enclave, and later, given a suspected derivative, evaluates whether the derivative carries signals consistent with any registered recipient, all without decrypting the source dataset outside the enclave.

Boundary-Time Recipient-Specific Watermarking For Cross-Account Structured Data Sharing, Aaron Burton

Defensive Publications Series

Boundary-time recipient-specific watermarking applies a per-recipient watermark to a structured dataset at the moment the dataset is exposed across a cross-account sharing boundary, where a producer makes a hosted table or view visible to one or more recipient accounts without copying the underlying data. A transformation layer interposed between the producer's source objects and the recipient-visible binding produces a distinct watermarked variant for each recipient, without modifying the source schema or the recipient's tooling. Each recipient reads what appears to be a normal binding, while the producer retains the ability to attribute any later-found copy of the data to a …

Zenbrain: A Neuroscience-Inspired 7-Layer Memory Architecture For Autonomous Ai Systems (V7), Alexander Bering

Defensive Publications Series

ZenBrain is an open-source memory architecture for autonomous AI systems implementing seven distinct memory layers inspired by cognitive neuroscience: working, short-term, episodic, long-term, procedural, core, and predictive memory. A unified MemoryCoordinator integrates fifteen validated neuroscience mechanisms — nine foundational algorithms (vmPFC-coupled FSRS spaced repetition with prediction-error gating, two-factor synaptic Hebbian dynamics for knowledge graphs, simulation-selection sleep consolidation modeling hippocampal replay, Bayesian confidence propagation, compositional context embeddings, spectral knowledge-graph health monitoring, context-adaptive information-bottleneck budgeting, dual-process chain-of-thought consolidation, and iMAD selective debate) and six Predictive Memory Architecture (PMA) components: NeuromodulatorEngine (dopamine/norepinephrine/serotonin/acetylcholine tonic levels with phasic prediction-error bursts and opponent-process dynamics), ReconsolidationEngine (memory …

The Composite Optical System That Contains A Polygonal Composite Light Ray Deviating System And A Composite Cuboidal Light Ray Projection System., Punarjeewa Abeysekera

Defensive Publications Series

This paper describes a composite optical system that contains a polygonal composite light ray deviating system and a composite cuboidal light ray projection system. The entire composite optical system consists of a polygonal composite light ray deviating system and a composite cuboidal light ray projection system. And in the entire composite optical system, the polygonal composite light ray deviating system will be positioned on top of the composite cuboidal light ray projection system. The polygonal composite light ray deviating system will consists of a collection of individual lens elements that are collectively configured in an adjacent manner. In addition to …

Gci #301 — Ariadne Heart-Shield (V5.3), Michael Victor Caldwell Mr.

Defensive Publications Series

This disclosure presents a passive vascular interface device designed to condition hemodynamic and biochemical boundary conditions at vascular anastomoses. The system utilizes controlled multi-helical flow guidance, compliance-matched materials, and anti-fouling nitric oxide-active surfaces to reduce disturbed flow, leukocyte adhesion probability, and thrombotic activation at the graft junction.

The device does not prevent immune recognition but instead modifies the local microenvironment to reduce the physical and biochemical conditions required for inflammatory amplification. A full preclinical validation pathway is defined, including computational modeling, benchtop testing, ex vivo validation, and large-animal studies.

Recursive Constraint Topology Engines: A Non-Canonical Architecture For Scalable General Intelligence Beyond Agentic Paradigms, Johny Manuel-Devadoss, Deepthi Prasad

Defensive Publications Series

We propose Recursive Constraint Topology Engines (RCTE), a class of intelligence systems in which cognition emerges not from agents, policies, or explicit reward optimization, but from continuously deforming constraint manifolds in a high-dimensional semantic phase space. Unlike agent-based systems, RCTE replaces "actors" with constraint fields that self-interact, self-negate, and self-stabilize through topological recursion.

The key hypothesis is that general intelligence arises when a system ceases to represent knowledge as symbolic objects or policies, and instead operates entirely on evolving inconsistency surfaces whose geometry encodes reasoning itself.

This architecture is designed to:

• eliminate discrete agent decomposition

• remove centralized planners and shared …

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Context-Sovereign Hypergraph Meshes For Autonomous Socio-Computational Systems, Johny Manuel-Devadoss, Deepthi Prasad

Defensive Publications Series

This paper introduces Context-Sovereign Hypergraph Meshe, a next-generation computational substrate designed to replace static knowledge representations and linear context aggregation systems with continuously evolving, causally grounded, multi-agent decision topology. Unlike prior systems that model information as either retrieval artifacts or relational graphs, CSHM encodes decision reality as a living, self-updating hypergraph of probabilistic intent, constraint propagation, and irreversible state transitions.

This is designed to resolve three structural limitations in current AI-native enterprise systems:

1. Context collapse under high-dimensional retrieval
2. Loss of causal traceability in multi-agent workflows
3. Static system-of-record boundaries incompatible with adaptive autonomy

The proposed architecture enables persistent, self-healing knowledge-state environments …

Gci Spark Plug Extension Vortex Adapter: A Universal Passive Pre-Chamber Ignition System Standard, Michael Victor Caldwell Mr.

Defensive Publications Series

This disclosure presents the GCI Spark Plug Extension Vortex Adapter, a universal bolt-on passive pre-chamber ignition system designed to improve combustion efficiency, stability, and lean-burn capability in spark-ignited internal combustion engines. The system integrates a compact pre-chamber extension between the spark plug and cylinder head, enabling high-energy jet ignition through controlled pressure buildup and directional discharge.

The design is structured as a dual-family architecture (Light and Heavy variants) to accommodate differences in engine displacement and load conditions. A three-axis tuning framework—pre-chamber volume, jet flow area, and discharge aggression—is introduced to standardize optimization across engine platforms.

Key engineering features include a …

A Zero-Data Paradigm For Autonomous Llm Agent Evolution Via Tool Interaction, Johny Manuel-Devadoss

Defensive Publications Series

Current LLM agents exhibit limited capacity for sustained self-improvement without external data or retraining. Existing approaches—such as reflective memory systems, self-generated tasks, and recursive agent rewriting—demonstrate incremental gains but remain bounded by static representations and brittle feedback loops . This paper introduces Chrono-Semantic Self-Distillation (CSSD), a novel architecture in which agents restructure their internal reasoning space through temporally layered tool interactions, forming emergent meta-representations that function as synthetic priors. The system enables continuous performance improvement without additional datasets, gradient updates, or external supervision.

Gci‑30 — Shop‑Realistic Vortex Jet‑Ignition Spark Plug, Michael Victor Caldwell Mr.

Defensive Publications Series

The GCI‑30 is a manufacturable, cost‑realistic jet‑ignition spark plug featuring a 0.25 cc vortex pre‑chamber, six adjustable louvers (20°–35°), and a steel Spider‑Web electrode plated with 25–50 µm silver.

It is designed as a drop‑in retrofit for 9.8–10.5:1 compression engines and provides stable lean‑burn ignition, improved flame‑kernel formation, and thermal survivability up to 850 °C for 5,000 cycles.

This disclosure includes complete fabrication instructions, geometry, materials, CFD requirements, test procedures, and expected performance targets so any engineering team can build and validate a prototype.

Integrated Zero-Heat Neural Interface (Izhni): Trl-4 Multiphysics Thermal–Fluidic–Mechanical Architecture For Low-Power Neural Interface Heat Management, Michael Victor Caldwell Mr.

Defensive Publications Series

The Integrated Zero-Heat Neural Interface (IZHNI) is a conceptual TRL-4 engineering architecture defining a coupled thermal–fluidic–mechanical system designed to manage localized electronic heat loads (~250 mW) in extreme spatial constraint environments relevant to neural interface technologies.

This disclosure does not describe a medical device or implantable system, but rather a simulation-ready and benchtop-testable thermal management framework intended for independent validation in non-biological environments.

The system integrates three coupled subsystems: (1) anisotropic thermal biasing layers that preferentially direct heat flow, (2) parallel microfluidic heat extraction channels operating in a low-Reynolds chaotic advection regime, and (3) a mechanically compliant substrate designed to …

Vortex-Inertial Magnetic Blood-Plasma Purifier, Michael Victor Caldwell Mr.

Defensive Publications Series

This Vortex-Inertial Magnetic Blood-Plasma Purifier disclosure describes a continuous-flow, non-clogging system for the selective enrichment and extraction of biomarkers from blood plasma. The device integrates inertial microfluidic separation, magnetophoretic transport, and an open-cell gyroid lattice trapping mechanism into a unified architecture. Whole blood is first processed through a spiral microfluidic manifold operating in the Dean-flow regime to achieve passive separation of cellular components, producing a plasma stream with reduced hematocrit. Target biomarkers are captured using aptamer-functionalized superparamagnetic nanoparticles and transported via magnetophoretic drift within a controlled magnetic field gradient. These particles are subsequently immobilized within a high-surface-area gyroid lattice incorporating …

Process For The Preparation Of Lazertinib Mesylate, Anonymous

Defensive Publications Series

The present publication provides a process for the preparation of N- [5- [[4- [4- [(dimethyl amino) methyl]-3-phenyl-1H-pyrazol-1-yl] pyrimidin-2-yl] amino]-4-methoxy-2-(morpholin- 4- yl) phenyl] acrylamide mesylate represented by the following structural Formula I.

Technical Disclosure: An Ai-Assisted Construction Document Authoring System Comprising A Process-Resident Tool Server, A Two-Tier Correction Propagation Mechanism, And An Autonomous Visual Quality Control Method, Eric Michael Chrabot, Charles Barrett Eastwood

Defensive Publications Series

Disclosed is an AI-assisted construction document authoring system in which a large language model (LLM) agent operates in conjunction with a computer-aided design (CAD) application to author drawings autonomously. The system addresses three problems that prior approaches do not adequately resolve: insufficient tool-surface depth for production-grade CAD authoring, lack of transactional integrity in multi-step authoring operations, and the inability to adapt model behavior to firm-specific drawing conventions without retraining.

The system comprises four interoperating components. First, a process-resident tool server is loaded into the CAD application's address space and exposes a plurality of named authoring endpoints to the LLM agent …