Digital Commons Network^™

Detection Of Breath, Phonation And Cough Sounds Using Sound Feature Vectors And Artificial Neural Networks By Calculating Lung Forced Vital Capacity With Mobile Infrastructures, Edmond Hajrizi

International Journal of Business and Technology

Objective: In this study, it is aimed to calculate the tidal volume capacity with mobile infrastructures and to determine the O2 and CO2 values from breath, phonation and cough sounds with the help of artificial neural networks using voice feature vectors. In addition, it is aimed to develop a method that will enable computation of forced expiratory volume via mobile devices.

Materials and Methods: Since sound disease diagnosis is basically a classification problem, tidal volume classification is considered as a pattern recognition problem. Our automatic O2 and CO2 classification study as a pattern recognition function includes three subcomponents; Identifying and …

Strategic Internationalization Of A Moroccan Family Business: Richbond’S Expansion Across Africa, Essbaa Elmehdi

Audio & Video by Faculty: Webinars, interviews, documentaries, etc...

Research Questions and Objectives

Family businesses from emerging markets are increasingly pursuing regional expansion and strategic internationalization to diversify their activities, increase resilience, and reduce dependency on domestic markets. This research centers on Richbond, a distinguished Moroccan family-owned enterprise specializing in manufacturing and consumer goods, which has systematically developed a sophisticated internationalization strategy spanning both African regional markets and global economic landscapes. The study aims to provide a comprehensive analytical exploration of the processes, strategic considerations, and organizational dynamics that support Richbond's progressive business expansion. Specifically, the research seeks to address the following critical research questions:

• What motivational factors …

The Impact Of Family Governance Mechanisms On Conflict In Moroccan Family Businesses, Hiba Birgach

Audio & Video by Faculty: Webinars, interviews, documentaries, etc...

Purpose: This study explores the impact of family governance mechanisms on conflicts among family members in Moroccan family businesses. It aims to identify the main sources of intra-family conflict and assess how governance practices contribute to their mitigation.

Design/methodology/approach: The research adopts a qualitative, exploratory approach based on semi-structured interviews conducted with leaders of ten Moroccan family businesses. This method allowed for an in- depth understanding of both conflict dynamics and governance practices specific to the Moroccan cultural and entrepreneurial context.

Findings: The study reveals that key sources of conflict include divergence of interests, role conflict, successor incompetence, shared management …

Real-Time Preferred Agent Availability Predictions For Enhanced Contact Center Routing, Rajarathinam Chidambaram, Jibin George, Gururaj B T, Riyad Ottayil, Anil Kumar M L

Defensive Publications Series

A novel system and techniques are presented herein for intelligent contact center call routing that leverages a multi-factor, real-time predictive model using live transcript analysis, call complexity, agent historic performance, and scheduling data. When a customer is waiting and their preferred agent is predicted to become available imminently, the system dynamically calculates and applies an optimal wait extension to enable a more meaningful and efficient connection. This approach optimizes routing by combining agent availability forecasting with customer preference and contextual data, resulting in improved call resolution, reduced average handling time, and enhanced customer satisfaction.

Llm-Powered Agents For Context-Aware Validation Of Code And Configurations, Peng Chen

Defensive Publications Series

Enforcing complex, team-specific software development rules that are beyond the scope of some static analysis tools can present challenges, and manual review for such rules may be slow and error-prone. The described techniques may address these challenges by employing automated agents powered by large language models within a code review workflow. These agents can be configured with natural language prompts that codify domain-specific knowledge and complex validation logic. When triggered by a code change, an agent can analyze the modification and its relationship to other relevant files in the codebase. This method can provide automated, inline feedback on adherence to …

Time-Series Forecasting Using Dynamic Covariates From Text-Based Event Extraction, Leonid Kuligin, Thomas Zettl

Defensive Publications Series

Computer-implemented time-series forecasting systems, such as those executing on a server or distributed computing platform, may have difficulty anticipating demand volatility caused by real-world events due to a potential reliance on historical quantitative data. This disclosure relates to systems and methods for adjusting short-term forecasting by processing unstructured text data, for instance from news articles, to identify and quantify events that could influence future demand. A data processing pipeline can use a large language model to extract event descriptions, generate numerical embeddings for those events, and aggregate them into structured features. These features can then be integrated as dynamic covariates …

Solid State Forms Of 2-[4-[[(2r)-2-Ethoxy-3-[4-(Trifluoromethyl) Phenoxy]Propyl]Thio]-2-Methylphenoxy]Acetic Acid Lysine And Processes For Preparation Thereof

Defensive Publications Series

ABSTRACT

Title of the invention: Solid state forms of 2-[4-[[(2R)-2-ethoxy-3-[4-(trifluoromethyl) phenoxy]propyl]thio]-2-methylphenoxy]acetic acid lysine and processes for preparation thereof

The present invention relates to solid state forms of 2-[4-[[(2R)-2-ethoxy-3-[4-(trifluoromethyl)phenoxy]propyl]thio]-2-methylphenoxy]acetic acid lysine and processes for preparation thereof.

The present invention further relates to 2-[4-[[(2R)-2-ethoxy-3-[4-(trifluoromethyl)phenoxy]propyl]thio]-2-methylphenoxy]acetic acid L-arginine represented by the following structural formula-1a and process for preparation thereof.

Formula-1a

The Generative Asset Pipeline: "Live Code Assets" And Local Inference Orchestration, Matthew D. Judson

Defensive Publications Series

Disclosed is a Generative Asset Pipeline for NLE environments. The core innovation is the definition of "Live Code Assets"—executable code modules (e.g., React components, R3F scenes, .tsx files) treated as primary media primitives on the timeline. The NLE rendering engine includes a runtime for executing these modules. The system features "Dynamic Module Loading and Automatic Control Surfaces": it inspects the code asset (e.g., via Zod schema extraction) to identify parameters and automatically generates a visual control interface (Inspector Panel), allowing non-coders to manipulate the asset. The pipeline integrates local AI inference engines (e.g., ComfyUI) via the "Flow Workspace," orchestrated as …

The Agentic Nle Interface: System-Wide Copilot With "Rag On The Timeline" And Direct Tool Execution, Matthew D. Judson

Defensive Publications Series

Disclosed is an Agentic NLE Interface featuring a "System-Wide Copilot" with deep context awareness and direct tool execution capabilities. The core innovation is "RAG on the Timeline," a local Retrieval Augmented Generation pipeline focused on the NLE timeline state (OTIO). The application continuously vectorizes the OTIO state (structure, metadata, semantic content) into a local vector database. This enables the AI Copilot to understand the project context and answer semantic queries ("Find the shot where..."). The RAG pipeline integrates Vision-Language Models (VLMs) for analyzing current frame pixel data. The Copilot functions as an agent with access to executable tools mapped to …

"Live Otio": Decentralized Nle Timeline Synchronization Via Opentimelineio And Rga Crdt Mapping, Matthew D. Judson

Defensive Publications Series

Disclosed is a method for decentralized, real-time synchronization of Non-Linear Editor (NLE) timelines by mapping the OpenTimelineIO (OTIO) schema to Conflict-Free Replicated Data Types (CRDTs). The core innovation is the specific application of the Replicated Growable Array (RGA) algorithm (e.g., via Automerge) to manage the temporal sequence of clips in an OTIO Track. RGA avoids array indices, instead using persistent UUIDs and relative positioning ("Insert Clip B after UUID-A"). This mathematically guarantees convergence and solves the "index shifting" problem inherent in concurrent timeline edits, enabling offline-capable collaboration without central servers. The system defines a direct isomorphism between OTIO components and …

The "Neo-Nle" Hybrid Architecture: Unifying Generative Ai Synthesis And Deterministic Media Assembly, Matthew D. Judson

Defensive Publications Series

Disclosed is the "Neo-NLE" (Next-Generation Non-Linear Editor) architecture, a hybrid system unifying traditional deterministic video assembly workflows with generative AI synthesis within a decentralized, local-first framework. The core innovation is the seamless integration of "Assembly Workspaces" (optimized for deterministic playback) and "Generative Workspaces" (for AI synthesis and code execution) within a single application. Both layers operate on a shared, decentralized data fabric (KTKN-OS/Automerge), enabling real-time interaction between generated assets and the assembly timeline. The architecture mandates a Local-First implementation, ensuring zero-latency interaction and data sovereignty, with P2P synchronization eliminating centralized cloud reliance.

Project Chimera: Real-Time Disaster Resilience Simulation Platform (Digital Twin), Matthew D. Judson

Defensive Publications Series

Disclosed is Project CHIMERA, a real-time simulation platform (Digital Twin) for testing the resilience of decentralized infrastructure (DePIN) during disaster scenarios.10 The integrated simulation engine combines high-fidelity geospatial data (DEM) with real-time environmental simulations (e.g., hurricanes) and infrastructure failures (power outages). The core innovation is the high-fidelity simulation of decentralized network dynamics (e.g., ChurchMesh/LoRa), including accurate RF propagation physics based on terrain, node failures, and dynamic message routing. The platform functions as a strategy evaluation tool, scoring infrastructure deployment strategies based on Coverage, Uptime, and Cost Efficiency within the simulated disaster.

Churchmesh Communicator: Dedicated E-Ink Mesh Messaging Device Architecture, Matthew D. Judson

Defensive Publications Series

Disclosed is the hardware architecture for the ChurchMesh Communicator, a dedicated, ultra-low-power mesh messaging device. The invention details the specific integration of components optimized for long-range, resilient communication: an ESP32-S3 MCU, an E-Ink display (for sunlight readability and zero static power draw), a physical QWERTY keyboard, and an SX1262 LoRa module (10km+ range). The architecture is optimized for 2+ week battery life. The firmware (ESP-IDF + LVGL) utilizes novel power management techniques, including E-Ink partial refresh optimization and aggressive deep sleep modes, waking only on keyboard interrupt or incoming LoRa message. The device integrates "KTKN-Lite" for decentralized synchronization.

Ktkn-Vault: Decentralized Password Management With Device-Specific Encryption Keys, Matthew D. Judson

Defensive Publications Series

Disclosed is KTKN-Vault, a decentralized P2P password management system. The core innovation is the elimination of the traditional "Master Password" vulnerability in favor of "Device-Specific Encryption Keys." The vault is encrypted using keys stored exclusively in the device's secure hardware module (e.g., Secure Enclave, TPM) and accessed via biometric authentication (e.g., Face ID, WebAuthn). The encrypted vault data is synchronized across devices via a private KTKN-OS Space. While the data is replicated P2P, it remains inaccessible without the specific hardware keys on authorized devices, ensuring that compromising one device or password does not compromise the vault.

Ktkn-Drive: P2p File Synchronization With Crdt-Based Version History, Matthew D. Judson

Defensive Publications Series

Disclosed is KTKN-Drive, a P2P file synchronization system utilizing KTKN-OS. The core innovation is the use of CRDTs (Conflict-Free Replicated Data Types, e.g., Automerge) to manage file state, version history, and conflict resolution, eliminating reliance on central servers (e.g., Dropbox). Changes to files and metadata are recorded as commutative operations in a CRDT log. This enables automatic, conflict-free merging of concurrent edits made offline and provides a complete, immutable version history. Files are synchronized via private KTKN-OS Spaces shared between the user's devices.

Ktkn-Cal: Decentralized Calendar Scheduling Via Selective Availability Disclosure, Matthew D. Judson

Defensive Publications Series

Disclosed is KTKN-Cal, a decentralized, P2P calendar scheduling system. The core innovation is "Selective Availability Disclosure," enabling users to share availability slots without revealing their full calendar details, addressing the privacy failures of centralized tools (e.g., Calendly). The system analyzes the local calendar and generates a list of available slots, which are shared P2P. When a meeting is booked, a new KTKN-OS Space is created between participants. Booking details are stored within this shared, encrypted Space, ensuring decentralized coordination and E2E encryption.

Meshtalk: A Decentralized, Identity-Agnostic Messaging Protocol Over Ktkn-Os, Matthew D. Judson

Defensive Publications Series

Disclosed is MeshTalk, a decentralized, E2E encrypted messaging protocol utilizing KTKN-OS that eliminates reliance on central servers and phone numbers. The core innovation is the replacement of centralized identity providers with cryptographic identities managed by KTKN-OS . Users create self-sovereign identities and establish connections by sharing keys directly (e.g., QR codes). Each conversation (direct or group) is implemented as an independent KTKN-OS Space, with messages stored as encrypted CRDT documents within the Space's database. This ensures E2E encryption and P2P replication directly between participants. The protocol is transport-agnostic, supporting integration with low-bandwidth mesh networks (e.g., LoRa).

Ktkn-Hub: Decentralized Git Hosting Via Ktkn-Os/Automerge And Isomorphic-Git, Matthew D. Judson

Defensive Publications Series

Disclosed is KTKN-HUB, a peer-to-peer (P2P) Git hosting platform utilizing decentralized storage (KTKN-OS) and CRDTs. The core innovation is the direct mapping of the Git object model into the KTKN-OS data fabric. Git objects (Commits, Trees, Blobs) are stored as immutable KTKN-OS documents. Crucially, Git References (Branches, Tags) are implemented as mutable CRDTs (Conflict-Free Replicated Data Types). This enables concurrent updates (pushes) without conflicts, guaranteeing mathematical convergence when peers reconnect. The system implements a novel filesystem adapter (KTKN-FS) that bridges the isomorphic-git library to the KTKN-OS backend, enabling Git operations without a traditional POSIX filesystem.

The Bifurcated Data Protocol Architecture (Spikensl/Vtc-Ktkn), Matthew D. Judson

Defensive Publications Series

Disclosed is a "Bifurcated Data Protocol Architecture" for sovereign systems that separates data handling into distinct Static ("The Library") and Dynamic ("The Nervous System") domains. Both domains utilize the H.265 video codec for transport/storage but exploit entirely different codec properties through distinct protocols: SpikeNSL and VTC-KTKN. The novelty lies in the simultaneous, distinct utilization of H.265 properties within a unified system. SpikeNSL (Dynamic) uses direct Luma/Chroma mapping to exploit the codec's efficiency with data sparsity. VTC-KTKN (Static) uses visual tokens (QR codes) to exploit the codec's temporal redundancy of static structures (Inter-Frame Prediction). This unified codec framework minimizes the hardware …

Deterministic Data Synthesis Pipeline For Multimodal Ai Training (The Trueos-Ktkn Data Engine), Matthew D. Judson

Defensive Publications Series

Disclosed is a system for generating "Golden Master" training datasets for Multimodal Vision-Language-Action (VLA) models. The core innovation is a "Deterministic Render-Capture Loop" that decouples simulation time (simTime) from wall-clock time. The system advances the simulation by a fixed delta ($\Delta t$), renders the state, and captures the frame using WebCodecs, timestamping it with simTime regardless of actual render duration. This guarantees a mathematically perfect framerate and perfect synchronization between video frames and telemetry logs, eliminating the frame drops and jitter inherent in real-time screen recording. The pipeline is orchestrated within the TrueOS/Electron shell, managing the simulation backend (e.g., Python …

The Porcupine Protocol: Automated Defensive Publication And Algorithmic Jurisprudence, Matthew D. Judson

Defensive Publications Series

Disclosed is the Porcupine Protocol, an automated system for generating and publishing industrial-grade defensive prior art using Local LLMs. The core innovation is the "Algorithmic Jurisprudence" engine (the "Recipe" algorithm), which automates the strategic decision to "File vs. Publish vs. Refactor." The algorithm calculates a Publication Score ($S_{Pub}$) based on weighted variables: Novelty, Detectability, Incumbent Risk, and Abstractness. It applies filters grounded in legal precedents: the "Alice" filter (Alice Corp. v. CLS Bank) assesses abstractness; the "Akamai" filter (Akamai v. Limelight) assesses divided infringement defense potential; and the "Porcupine" trigger initiates publication if $S_{Pub}$ exceeds a threshold. The Local LLM …

Stratospheric-Terrestrial Hybrid Mesh Network (Churchmesh & Winch Data Mule Protocol), Matthew D. Judson

Defensive Publications Series

Disclosed is a hybrid network topology combining terrestrial LoRa mesh nodes with stratospheric Aerostat Data Mules. The terrestrial layer (ChurchMesh) utilizes ultra-efficient hardware (RAK4631/nRF52840) for 10-14 day autonomy and the Meshtastic ROUTER_LATE configuration to prevent packet storms. The core innovation is the "Winch Data Mule Protocol" (the "Yo-Yo" maneuver) for bridging Line-of-Sight gaps using Tethered Aerostats. The aerostat collects data at low altitude (~200ft), then the winch releases it to high altitude (~2,000ft) to gain LOS ("Virtual Ionosphere") and transmit stored bundles. The aerostat then winches back down. This mechanical data muling conserves airborne battery and minimizes weather exposure and …

The Civic Swarm Protocol: Bio-Inspired Decentralized Container Orchestration, Matthew D. Judson

Defensive Publications Series

Disclosed is the Civic Swarm Protocol, a decentralized, P2P container orchestration platform designed for adversarial environments. It replaces centralized control planes (e.g., Kubernetes) with bio-inspired swarm algorithms and a "Jellyfish" architecture. The system utilizes daemonless runtimes (Podman/WasmEdge). The core innovation is "Stigmergic Coordination" via Digital Pheromones stored in a DHT. System state (Intensity/Decay) is managed using CRDTs with "Lazy Decay," where obsolescence is calculated on read, eliminating the need for a central garbage collector. Scheduling utilizes the Artificial Bee Colony (ABC) algorithm (pull-based foraging), and routing uses Ant Colony Optimization (ACO). Security is enforced by the "Rugby Protocol," a decentralized …

Morphogenetic Aiops (The Ktkn Regulator): Physics-Based Anomaly Detection And Homeostatic Control, Matthew D. Judson

Defensive Publications Series

Disclosed is the KTKN (Katechon) Regulator, a homeostatic AI for detecting precursor signals of failure in complex distributed systems using non-linear dynamical systems theory. The system detects Critical Slowing Down (CSD) by monitoring rising Variance and Autocorrelation. The core innovation is the definition and mitigation of "D-Term Tension," a novel failure mode where the Derivative term of a PID controller fights the system's natural CSD, interpreting noise as a trend and causing violent collapse (Hopf Bifurcation). The KTKN Regulator detects this tension (correlation coefficient $r > 0.7$) and intervenes by disabling the D-term to prevent collapse. The system utilizes Active Inference …

Dendro-Version Control (Dvc): Biomimetic Visualization Of Distributed State And Security, Matthew D. Judson

Defensive Publications Series

Disclosed is Dendro-Version Control (DVC), a visualization system that maps the properties of distributed version control (DAGs) and CRDTs (Automerge/KTKN) to the biological anatomy of trees. Implemented using React Three Fiber (R3F), the system provides a "Living HUD" for project health. The core innovation is the mapping of data consensus to tree physiology: stable, globally replicated code ("Canonical Truth") is rendered as dense "Heartwood" using Volumetric Raymarching; recent development is "Sapwood"; and the active frontier is the "Cambial Layer." Security vulnerabilities and technical debt are visualized using the CODIT (Compartmentalization of Decay in Trees) model as "Rot." The P2P data …

The Trueos/Aether Shell: A Sovereign "App Browser" Architecture For Local-First Orchestration, Matthew D. Judson

Defensive Publications Series

Disclosed is the architecture for TrueOS/Aether, a desktop-class Integrated Development Environment (IDE) designed as a sovereign "App Browser" for orchestrating complex, local-first applications. The architecture utilizes the Electron framework, prioritizing rendering consistency and robust local process management. The core innovation is the "Native Child Process Orchestration" mechanism, where the Electron Main Process natively spawns heavy local backends (e.g., Python AI environments like ComfyUI) as direct OS child processes. This bypasses the serialization bottlenecks of traditional IPC bridges, enabling high-throughput communication via mechanisms like ZeroMQ or shared memory. The architecture guarantees a deterministic rendering environment by bundling a specific Chromium version, …

Vtc-Ktkn (Visual Token Compression - Katechon): Optimized Implementation And Integration, Matthew D. Judson

Defensive Publications Series

Disclosed is VTC-KTKN (Visual Token Compression - Katechon), an optimized implementation of visual token storage protocols within the TrueOS sovereign architecture. While the core concept of encoding static data into visual tokens (QR codes) and compressing them using video codecs (H.265) by exploiting temporal redundancy is known art (see: olow304/memvid), VTC-KTKN details novel improvements for archival integrity and edge-retrieval. Innovations include the mandatory use of QR Code Level H Error Correction (ECC) to guarantee data recovery against compression artifacts and bit-rot, and the utilization of a Product Quantized (PQ) FAISS index to reduce the RAM footprint of the search index, …

Novel Solid State Forms Of (S)-(2-(5-Chloro-4-Methyl-1h-Benzo[D]Imidazol-2-Yl)-2-Methylpyrrolidin-1-Yl)(5-Methoxy-2-(2h-1,2,3-Triazol-2-Yl)Phenyl)Methanone And Processes For The Preparation Thereof

Defensive Publications Series

The present disclosure relates to novel solid state forms of (S)-(2-(5-chloro-4-methyl-1H-benzo[d]imidazol-2-yl)-2-methylpyrrolidin-1-yl)(5-methoxy-2-(2H-1,2,3-triazol-2-yl)phenyl)methanone compound of formula-1 and processes for preparation thereof.

Formula-1

Spikensl (Spiking Neural Signal Language) For "No-Compile" Behavioral Transmission, Matthew D. Judson

Defensive Publications Series

A method and system for transmitting real-time software behavior and control signals by mapping dynamic system states to the native compression channels of the H.265 (HEVC) video codec. The protocol, termed "SpikeNSL," treats the video frame as a raster plot of spiking neurons. The Luma (Y) channel encodes the "Spike Train" of system events (sparse binary activations), while the Chroma (U/V) channels encode contextual state transitions. This mapping exploits the temporal redundancy and sparsity optimizations of H.265 to achieve bandwidth efficiencies of 50-100x compared to traditional serialization (e.g., MQTT/gRPC) for sparse event streams. The system further enables "No-Compile" behavioral replication, …

Wireless, Fully-Sealed Coxswain Audio Transmission System With Modular Boat Electronics, Wireless Charging, And No Exposed User-Side Electrical Connections, Glenn R. Engel

Defensive Publications Series

This defensive publication describes a fully sealed, wireless coxswain audio communication system designed for rowing shells, eliminating all exposed electrical connectors commonly found in traditional cox box systems. The solution integrates a waterproof wearable headset with digital MEMS microphone(s), a Bluetooth LE Audio transmitter, and Qi-based inductive charging within a connector-free housing. A boat-mounted receiver/amplifier module wirelessly receives audio, drives existing speaker wiring, and supplies inductive power to portable components. An optional detachable user-interface module provides visual feedback, system control, and additional charge-sharing capability through wireless power exchange. The system architecture enables complete wireless communication among all user-handled components, reducing …