Digital Commons Network^™

Therepairer_Vol37no10_Oct1932

The Repairer

No abstract provided.

Therepairer_Vol37no1_Jan1932

The Repairer

No abstract provided.

Therepairer_Vol36no9_Sept1931

The Repairer

No abstract provided.

Therepairer_Vol36no2_Feb1931

The Repairer

No abstract provided.

Therepairer_Vol36no1_Jan1931

The Repairer

No abstract provided.

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 …

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.

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 …

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.

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 …

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 …

Framework For Autonomous Agent Resilience Via Self-Correcting Execution Loops, Michael Kochera

Defensive Publications Series

Autonomous agents in complex workflows can be unreliable, potentially failing due to semantic errors, for example, incorrect tool usage, model hallucinations, or malformed outputs, which may not be addressed by some system-level fault tolerance methods. A resilient agent framework can introduce self-correction loops at the individual agent-execution level. The framework may operate by intercepting and validating an agent's actions; if a failure is detected, it can provide structured, context-aware feedback, enabling the agent to use in-context learning to self-correct and retry its immediate task. This approach improves the reliability of autonomous agents by helping to resolve semantic errors, reducing a …

Tool State Tracking And Steering For Multi-Turn Large Language Model Interactions, Victor Carbune, Florian Hartmann

Defensive Publications Series

Interactions between large language models and external tools in multi-turn conversations often face limitations due to the black-box nature of many tools. Because tool behaviors can change or may not be fully captured during model training, the model may struggle to accurately track tool states or effectively refine outputs across multiple exchanges.

An inference-time technique is disclosed to model tool behavior and track state transitions. The method involves monitoring tool inputs and outputs during a conversation to build a representation of the tool’s state. Reflection steps are integrated into the reasoning process to evaluate how a tool is being invoked …

Asynchronous Execution Of Large Language Model Tool Calls Via Partial Argument Decoding, Florian Hartmann, Victor Carbune

Defensive Publications Series

Tool calls in large language models are traditionally issued only after all arguments are fully decoded. This sequential process results in increased latency, particularly for tools requiring multiple parameters where some arguments are not immediately necessary for initial execution steps. This disclosure describes a method for the asynchronous execution of tool calls through partial argument decoding. Tools are decomposed into sub-tasks to identify the specific order and timing for each argument requirement. The model is trained to generate arguments in this optimized sequence. During inference, tool execution is initiated as soon as the first required arguments are decoded. Parallel processing …

Purpose Fine-Tuned Large Language Model For End User Application Detection, Rajasekar Subramanian, Divyansh Sharma, Praveen Voonna, Koushik Padavalli Gowrish

Defensive Publications Series

Accurate network application classification is essential for quality of service, security, and regulatory compliance, yet traditional Deep Packet Inspection (DPI) approaches struggle with encrypted traffic, scalability, and evasion vulnerability, while existing machine learning approaches lack explainability and require costly retraining.  To address these challenges, the techniques presented herein implement AppLLM, a system that combines structured Chain-of-Thought (CoT) training with Low-Rank Adaptation (LoRA)-based fine-tuning to enable protocol-aware, explainable classification.  By embedding domain-specific reasoning into training data and system prompts, supporting dual-mode inference for latency optimization, and integrating directly into the Vector Packet Processing (VPP) data plane, AppLLM delivers accurate, low-latency classification …

The Picture Exchange Communication System (Pecs) As A Functional Form Of Low-Technology Aided Augmentative And Alternative Communication (Aac): A Systematic Review, Faith K. Curran

Pacific Journal of Health

This systematic literature review was completed with the aim of investigating the functionality of the low-technology aided Augmentative and Alternative Communication (AAC), Picture Exchange Communication System (PECS). In this review, functionality was defined by how successful AAC users used PECS. Fifteen peer reviewed primary sources which were published between 2020 and 2025 were selected to provide a current and relevant analysis. There was not enough current research to support the use of PECS across various functions of language. However, PECS is mainly used for one to two language functions, object requesting and commenting. Further research studying the success rates of …

Therepairer_Vol33no12_Dec1928

The Repairer

No abstract provided.

Therepairer_Vol33no9_Sept1928

The Repairer

No abstract provided.

Therepairer_Vol33no8_Aug1928

The Repairer

No abstract provided.

Therepairer_Vol33no2_Feb1928

The Repairer

No abstract provided.

Therepairer_Vol30no2_Feb1925

The Repairer

No abstract provided.

Kafr Kama: The Marble Finds, Anastasia Shapiro

Qadum: Journal of Excavation Reports from Israel

The study of 127 marble fragments from the excavation of the Umayyad building at Kafr Kama revealed that most of the samples are made of Proconnesian marble and originally belonged to panels that likely decorated a church demolished by the earthquake of 749 CE. The collapse of the building caused the breakage of the panels, which then became spolia. They were marked and reshaped into small geometric forms, such as octagons or trapezoids measuring up to 20–30 cm. Given that no completed items were found, the studied assemblage probably represents the workplace of a stonemason active in Umayyad-period Kafr Kama.

Foreword: Raising Our Voices, Together, Lauren Sudeall

Vanderbilt Social Justice Reporter

No abstract provided.

Let’S Break Chains: Ending Solitary Confinement In Prisons, Charlotte Kim

Vanderbilt Social Justice Reporter

No abstract provided.

Band-Aid Over A Bullet Hole: The Lack Of Mental Health Care In Women’S Prisons And The Culture That Perpetuates It., Deborah, Julie, Karli Tellis, Misty, Olivia Hatch, Sara Manian

Vanderbilt Social Justice Reporter

No abstract provided.