Digital Commons Network^™

Physical Oracles And The Instrumental Status Of The Terrestrial Biosphere, Volodymyr Kotegov

Defensive Publications Series

This document develops a general instrumental framework for evaluating physical systems that function as oracles — systems capable of generating high-dimensional observations on the actual physics of the universe, exhibiting substantial computational irreducibility, and producing data in measurement bases not yet fully formalized by the agent. Within this framework the terrestrial biosphere is analysed as the strongest currently known Slow Oracle.

Humanistic, ethical, and sentimental considerations are excluded. Evaluation proceeds solely in terms of expected utility, option value under residual uncertainty, basis diversity rent, thermodynamic opportunity cost, and resistance to model collapse. The central claim is that, while residual uncertainty …

Caldwell Hermes‑Awh V1.0 High‑Flux Enthalpy‑Recycling Modular Extraction System Open-Hardware, Build-And-Test Atmospheric Water Harvester For Low-Humidity Environments, Michael Victor Caldwell Mr.

Defensive Publications Series

Caldwell HERMES‑AWH is a modular, solar-regenerated atmospheric-water-harvesting system designed for low-to-moderate relative humidity, nominally 15–35% RH. The design addresses the major practical bottlenecks of conventional sorption-based atmospheric water harvesting: slow water-vapor diffusion into thick sorbent beds, adsorption heat that reduces uptake, poor thermal uniformity during regeneration, loss of desorbed vapor, incomplete condensation recovery, and low daily cycle count.

The system uses multiple thin structured sorbent cassettes, each carrying a 0.5–2.0 mm active sorbent layer on a thermally conductive backplane. Cassettes operate in sequential modes: ambient-air adsorption, thermal preconditioning, closed solar-thermal regeneration, vapor recovery and condensation, and cooling/reset. The system maintains …

System And Method For Statistical Modeling And Automated Lifecycle Refresh Detection Of Digital Media Assets, Manisha Arora, Yassine Idrissi, Bruno Caforio

Defensive Publications Series

A data-driven, statistically rigorous analytical framework is disclosed for determining performance decay and optimizing the replacement timing of digital media assets (such as images and videos) in digital media campaigns. The system ingests campaign-level and asset-level metrics on a daily basis and extracts high-dimensional visual and semantic embedding vectors from the media assets using a deep neural network feature extractor. A visual taxonomy is constructed by clustering similar assets into visual archetypes using K-Means clustering, allowing for aggregate fatigue analysis within specific thematic content clusters. The statistical decay engine fits a non-linear saturation model (e.g., a Hill function S-curve) to …

C++ Iterator Hardening Via Restriction Of Scripting Engine And Inter-Process Communication Execution, Kentaro Hara

Defensive Publications Series

Memory safety flaws, such as use-after-free vulnerabilities, are caused when collection structures are modified during active iteration loops. Modifications to an active collection structure are sometimes induced by unexpected execution of a scripting language engine or an inter-process communication mechanism, whereby dangling iterators are produced. To mitigate these flaws, a thread-local counter mechanism is disclosed. A counter within thread-local storage is modified across iterator lifecycle operations, including construction, copy construction, move construction, assignment, and destruction. Within a rendering process, execution of a scripting language engine is blocked via a process termination if a non-zero value is held within the counter. …

Caldwell W2g‑Vt V2.1 — Continuous Waste‑To‑Gasoline Refinery Using Molten‑Salt Cavitation Depolymerization, Halogen Scrubbing, Dual‑Bed Zsm‑5 Swing Catalysis, Venturi Ultra‑Fast Spray Quench, Ultrasonic Anti‑Fouling, Steam‑Stripped Heavy Bottoms, Optical Cavitation Feedback & Vortex‑Tube Instrument Cooling, Michael Victor Caldwell Mr.

Defensive Publications Series

This research project develops and validates a continuous‑flow waste‑to‑gasoline refinery capable of converting mixed waste plastics and organics into high‑octane gasoline (C₅–C₈, 91–95 RON) at 1.0 kg/s throughput.

The system integrates:

• Molten‑salt depolymerization (NaNO₃/KNO₃ at 450°C)

• Phoenix‑Cracker hydrodynamic cavitation (from your TDCommons inventions)

• Arachne‑NTC optical cavitation sensors (TDCommons)

• CaO/MgO halogen scrubbing

• Dual‑bed ZSM‑5 swing catalytic reactor

• Venturi direct‑contact spray quench (0.12 s)

• 28 kHz ultrasonic anti‑fouling

• Steam‑stripped heavy bottoms

• Vortex‑tube instrument cooling

• Light‑gas oxygen purge

• Fractionation and internal energy recovery

This document provides the full research theory, experimental plan, system diagrams, operating parameters, integration notes, and validation methodology required to …

Aquila-X 3.0: Modular High-Throughput Mobile Potable-Water Factory With Adaptive Pretreatment, Parallel Production Trains, Seawater Energy Recovery, Multi-Grade Outputs, And Concentrate-First Residual Management Research Conceptual Invention, Michael Victor Caldwell Mr.

Defensive Publications Series

AQUILA-X 3.0 is a transportable, modular, multi-barrier water-production platform designed to produce more independently verified potable water per deployable system than conventional mobile RO plants while maintaining safe operation, source-specific treatment, practical energy demand, maintainability, redundancy, and complete residual accountability.

The system does not depend on one miracle component. Its capacity comes from:

• Selecting the shortest safe treatment route for each characterized source.

• Removing grit, solids, oil, algae, and foulants before fine membranes.

• Using multiple independently isolatable production trains.

• Avoiding high-pressure RO when freshwater does not need desalination.

• Using dedicated high-pressure SWRO equipment and energy recovery when seawater does need …

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Notification String Optimization Using Reinforcement Learning And Llms, Sumit Kumar Jha, Ishan Gambhir, Shubham Kumawat

Defensive Publications Series

Current approaches to avoid the drop in engagement with notifications have a high overhead, are slow to roll out, and lack content personalization. This disclosure describes techniques, implemented with user permission, to automatically select and manage content for push notifications with an automated closed-loop self-healing personalized architecture. The approach can be implemented with a Contextual Multi-Armed Bandit (CMAB) Reinforcement Learning (RL) model with reward signals configured to trigger a Large Language Model (LLM) to generate, validate, and inject fresh personalized notification strings in the content pool. The pipeline to generate structured content to replace previously pushed notification content can be …

Vt‑Tce V1.0 — Standalone Buildable Disclosure Vortex‑Tube Thermal Conditioning Engine A Passive Hot/Cold Separation Thermal‑Conditioning System For Remote Energy Installations, Michael Victor Caldwell Mr.

Defensive Publications Series

VT‑TCE v1.0 is a builder‑ready, open‑hardware, standalone thermal‑conditioning engine based on:

• vortex‑tube hot/cold separation

• passive thermal routing

• synthetic‑coolant compatibility

• hot‑stream buffering

• cold‑stream electronics/sensor cooling

It is designed for remote energy installations, providing:

• cold‑stream electronics cooling

• hot‑stream thermal buffering

• auxiliary heat routing

• passive thermal stabilization

This version contains no external invention references and is fully buildable and testable by engineering teams.

Self-Exhausting Fleet-Level Failure Pattern Detection Via Persistent Graph Coloring And Human-In-The-Loop Validation, Nilay Gupta, Wayne W Chen

Defensive Publications Series

Techniques are proposed herein for detecting and validating recurring failure patterns across a fleet-scale corpus of causal event graphs. A pattern-discovery engine groups taxonomy-normalized node labels and categories, computes support as the number of distinct incident graphs containing a pattern, and classifies retained patterns into new taxonomy categories and known but unvalidated patterns. Engineers confirm or reject ranked patterns through a human-in-the-loop workflow. Confirmed patterns are recorded in a persistent validated-pattern registry that is structurally independent of the graph index and reapplied after index rebuilds. The registry acts as a partial graph coloring and active-learning oracle: future discovery operates on …

Context-Aware Multimodal Generative Copilot And Cross-Surface Discovery Engine For Automotive Passenger Displays, Richa Gupta

Defensive Publications Series

This disclosure describes an operating-system-level passenger copilot, also referred to as an in-car assistant, passenger companion, or media helper, for vehicles equipped with passenger displays, rear-seat entertainment screens, or secondary displays. The system coordinates video screen image capture (frame ingestion), voice isolation (seat-isolated routing), cross-device watch history syncing (watch graph synchronization), and on-screen landmark navigation (point of interest extraction) to enhance the in-vehicle entertainment experience without distracting the driver. When a user taps an on-screen icon or speaks into a dedicated microphone, the vehicle operating system captures a video frame, screenshot, or image from a streaming video application. A multimodal …

System For Providing Playback-Synchronized Contextual Content To A Secondary Device, Aritri Chakraborty, Himank Airon, Ayushi Goyal

Defensive Publications Series

Obtaining contextual information for content on a primary display can disrupt a viewing experience or involve fragmented manual searches on a separate device. Systems and methods are described that can address this by synchronizing a secondary computing device (e.g., a smartphone, tablet, or wearable device) with a primary display. The primary device may broadcast synchronization data, such as a content identifier and a playback timestamp, to a companion application on the secondary device. This application can then query a backend system to retrieve pre-processed, time-coded metadata corresponding to a specific moment in the media. This process can provide context-aware information …

Edge-Based Causal Analysis For Remediating Micro-Temporal Resource Congestion, Ajit Singh

Defensive Publications Series

Systems and methods are described for mitigating micro-temporal resource congestion in multi-tenant computing environments, where conventional schedulers may not effectively resolve sub-second interference. A decentralized control plane can operate at the node level, using local probabilistic profiling to generate compressed summaries of system behavior. A causal analysis engine can then calculate a correlation coefficient to attribute performance degradation in a affected workload to the resource consumption of a potential source workload. The system can handle analysis edge cases, such as resource saturation, and can employ a return-on-investment framework to select a remediation action, for example, throttling the source, boosting the …

Dynamic And Granular Source Attribution For Structured Content, Hugo Navarrete, David Fengyu Ke

Defensive Publications Series

Systems for presenting structured content, such as lists, can face challenges in providing clear source attribution. Placing a single citation at the end of a list may create a disconnect between a specific claim and its source, potentially making verification difficult for a user. To address this, techniques are described for a system that can dynamically place attribution markers within the content. This system can analyze properties, such as list length, nesting depth, and source mapping, to apply a rules-based strategy, for example, inserting citations on a per-item or sectional basis. The system can then modify the content to insert …

Mandate Lifecycle Extensions For Agentic Payment Credentials, Matthew T. Kirby

Defensive Publications Series

Autonomous AI agents, including large language model (LLM) agents, increasingly originate payment authorization requests under stored, cryptographically signed mandates derived from natural-language instructions. Existing frameworks verify machine-enforceable constraints — amount, payee, merchant — at transaction time; existing art separately teaches similarity-based transaction screening, single-use transaction-linked authorization credentials, decoupled out-of-band authentication, versioned credential supersession with freshness proofs, and attested display of transaction details. No reference teaches the lifecycle coupling specified here: (1) suspending a payment authorization request when a similarity score between a salted, committed embedding of the natural-language instruction — bound into the signed mandate with a pinned scoring stack …

Multi-Agent Pipeline For Category-Specific Factuality Calibration Using Conformal Inference, Chenyin Gao, Jiaqian Yu, Aniruddha Rao

Defensive Publications Series

A challenge in deploying generative models can be the occurrence of factual inaccuracies, particularly when attempting to maintain consistent reliability across diverse information categories. A disclosed technology describes a multi-agent pipeline that can quantify and calibrate the factual reliability of generated content. The system may operate as a black-box process where specialized agents can parse source material, generate categorized claims, and score their correctness. An evaluator agent can then apply category-specific conformal inference to filter claims that may not meet a defined statistical confidence level. This approach can provide a mechanism to manage the factuality of model outputs by providing …

Fdms‑2.0 — Field‑Domain Multi‑Sensor Mapper & Environmental State Observatory A Synchronized, Multi‑Physics Environmental Measurement And Anomaly‑Detection Instrument For Scientific Research, Structural Monitoring, Wildfire Precursor Detection, Hvac Diagnostics, And Multi‑Domain Environmental Mapping., Michael Victor Caldwell Mr.

Defensive Publications Series

FDMS‑2.0 is an open‑hardware, FPGA+ARM‑based environmental observatory capable of simultaneously measuring eight physics domains:

• Thermal

• Acoustic

• Infrared

• Vibration

• Optical spectral

• Airflow

• Electromagnetic field

• Low‑frequency EM antenna

All domains are sampled in parallel, timestamped at microsecond resolution, and fused into a unified environmental frame. FDMS‑2.0 establishes a baseline environmental model, computes an Environmental Stability Index (ESI), and detects anomalies only when multiple physics domains deviate simultaneously, eliminating false positives.

FDMS‑2.0 is fully buildable using off‑the‑shelf components, reproducible wiring, open firmware, and compact ASCII diagrams. It integrates optionally with other Caldwell research inventions (CMHRE‑Ω1.0, CUDRE‑1.0, VETI‑4.0, MMRA‑2.0, ONRS‑2.0, VMR Titan‑2.0, CNG‑Loop, URES‑2.0) …

Automatic Elevation Brake And Fall-Safety Locking Mechanism For Height-Adjustable Patient Support Tables, Anonymous

Defensive Publications Series

Described herein is an automatic fall-safe braking system for a height-adjustable patient support table that uses a scissor-lift mechanism for elevation. The disclosed system integrates a braking mechanism into the table elevation structure to automatically prevent unintended downward motion when operating power is removed or an unsafe condition occurs. The purpose is to prevent uncontrolled table descent during sudden power loss or service operations, without requiring any manual intervention from an operator or service engineer. The system mounts a braking mechanism directly on a scissor shaft. In some embodiments, the braking mechanism comprises a spring-set, electromagnetically released brake mounted directly …

Semantic Consistency Verification For Hedged Ai Inference Requests, Durga S. Kala, Tomer Rabani, Chenming Cao, Sreekanth Kanichetty, Sowmya Mothekani

Defensive Publications Series

A method includes receiving, in response to a common input transaction, a first inference response generated by a first inference stack and a second inference response generated by a second inference stack. The method includes generating a first vector embedding based on semantic content of the first inference response and a second vector embedding based on semantic content of the second inference response. The method includes determining a divergence measure between the first vector embedding and the second vector embedding. The method includes determining whether the divergence measure satisfies a semantic consistency criterion. The method includes, in response to determining …

An Integrated, Doctor-Reinforced Ai Healthcare Ecosystem:, Amey Krishna Solkar

Defensive Publications Series

Here's the abstract from DP-2026-HLTH-001:

"This publication discloses an integrated, not-for-profit healthcare technology ecosystem comprising seven complementary AI-assisted subsystems: (1) an AI clinical intake and differential-diagnosis assistant, (2) a generic and accessible medicine alternative finder, (3) an AI-coordinated emergency transport dispatch layer, (4) a personalized food and nutrient deficiency analysis system, (5) a crowd-sourced food adulteration and quality repository, (6) a mental health longitudinal outcomes research engine, and (7) a drug and food combinatorial hypothesis engine. The subsystems share patient context, a common outcome dataset, and a unified governance model under which artificial intelligence operates in a strictly supervised, doctor-reinforcing …

Autonomous Cryogenic Two-Stage In-Loop Sealing Of Microdefects Using Circulating Nanocapsulated Agents (Actis), Volodymyr Kotegov

Defensive Publications Series

Operation of large-scale cryogenic installations—particle accelerators, fusion reactors, space propulsion stages and quantum systems—demands continuous maintenance of leak-tightness in coolant and liquefied-gas circulation loops. Conventional methods for locating and repairing microleaks through intergranular pores of structural materials and microcracks in welded joints require complete shutdown of equipment, prolonged thermal recovery of isolated sectors and external mechanical intervention.

This publication presents a method of Autonomous Cryogenic Two-Stage In-Loop Sealing (ACTIS) in which the working cryogenic fluid itself serves as the carrier medium for functional nanocapsules. The ACTIS method relies on thermodynamic, mechanical, and electro-inductive triggers operating in a dual-stage sequence. Upon …

On-Chain Reconstruction Of Ipfs Content Identifiers From Evm-Resident Content-Addressed Data, Ryley Ohlsen, Lindsay Gilbert, Mathew Etre

Defensive Publications Series

A method for computing, entirely within an EVM-compatible smart contract, the IPFS content identifier (CID) that corresponds to data already stored on-chain in a content-addressed form. The method reconstructs canonical IPFS UnixFS / dag-pb DAG structures from on-chain bytes under a fixed import profile and derives a CIDv1 that is byte-identical to what an off-chain IPFS implementation would compute for the same content under the same profile — without any off-chain computation, oracle, or trusted party.

Awh‑Ω4.0 — Adaptive Hyper‑Arid Atmospheric Water Engine Open‑Hardware Research Invention For Hyper‑Arid Atmospheric Water Harvesting With Modular Mof Cartridges, Solar Regeneration, Closed Vapor Condensation, And Radiative Cooling License: Cern‑Ohl‑P V2.0 (Open Hardware, No Patents), Michael Victor Caldwell Mr.

Defensive Publications Series

AWH‑Ω4.0 is a builder‑ready, research‑mode atmospheric water engine designed for hyper‑arid climates (3–15% RH). It uses metal–organic framework (MOF) sorbents (MOF‑303, MOF‑801, and future composites) to adsorb water vapor from extremely dry air, then regenerates the sorbent using solar thermal energy and a thermal battery, routing desorbed vapor through a closed condenser loop to produce liquid water.

The system is explicitly engineered as an open‑hardware research platform, not a commercial product. It defines:

• Full geometry and dimensions for sorbent cartridges, intake, condenser, and thermal subsystems.

• Exact MOF mass per cartridge and structured contactors to minimize pressure drop.

• Nighttime adsorption / …

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Autonomous In-Loop Sealing Of Microdefects In Cryogenic Systems Of Particle Accelerators, Fusion Reactors And Space Technology Using Circulating Nanocapsulated Agents, Volodymyr Kotegov

Defensive Publications Series

Operation of large-scale cryogenic installations—particle accelerators, fusion reactors, space propulsion stages and quantum systems—demands continuous maintenance of leak-tightness in coolant and liquefied-gas circulation loops. Conventional methods for locating and repairing microleaks through intergranular pores of structural materials and microcracks in welded joints require complete shutdown of equipment, prolonged thermal recovery of isolated sectors and external mechanical intervention.

This publication presents a method of autonomous in-loop sealing in which the working cryogenic fluid itself serves as the carrier medium for functional nanocapsules. The method relies on thermodynamic, barometric, mechanical and electro-inductive triggers. When the nanostructured suspension passes through a microdefect into …

Method And System For Dynamic Trust Orchestration In Payment Networks, Pranjal Gautam, Sakshi Goyal, Divya Jain

Defensive Publications Series

A method (500) for dynamic trust orchestration in payment networks is provided. The method (500) includes receiving (505) data pertaining to a payment event associated with a payment transaction occurring within a payment network, identifying (510) a plurality of entities associated with the payment event from the received data. The method (500) further includes configuring (515) a relationship graph at a graph database with nodes representing the plurality of entities and edges representing relationships among the plurality of entities. The method (500) further includes extracting (520), transaction features, historical features, lifecycle features, and graph-context features from the relationship graph. The …

Automated Analysis Of Advertising Coverage Gaps And Taxonomic Expansion Opportunities, N/A

Defensive Publications Series

An inefficiency in digital advertising may arise when campaigns do not cover a range of products on an advertiser's digital properties (e.g., a website or mobile application), a discrepancy that can be challenging to identify manually. Systems and methods are described that may act as an orchestration engine to programmatically address such discrepancies. A system can programmatically harvest inventory from an advertiser's digital property, retrieve active campaign data from an advertising account, and map both data sets to a common taxonomy to identify potential coverage gaps. The system may also enrich these findings with external market data and suggest semantically …

Dynamic Adaptation Of In-Memory Data Structures For Session-Specific Workloads, Abirami Sukumaran

Defensive Publications Series

Systems and methods are described for a polymorphic in-memory data store that can dynamically adapt its physical structure on a per-session basis. Some applications may experience performance bottlenecks from rigid, static in-memory data structures that may not be well-suited for certain dynamic workloads. The described technology can analyze real-time indicators, such as incoming data patterns and executed query types, to help determine a suitable memory layout. An adaptive engine can then transition the physical representation of the data between different formats, such as key-value, columnar, document, or vector-indexed structures. This approach may allow the in-memory data representation to align with …

Mitigating High Central Processing Unit (Cpu)-Induced Link Aggregation Control Protocol (Lacp) Flapping In Large-Scale Bundles, Anthoni Rajanikanth Jasti

Defensive Publications Series

Large-scale data center and enterprise networks frequently employ Link Aggregation Control Protocol (LACP) to aggregate multiple physical interfaces for redundancy and bandwidth. However, high central processing unit (CPU) utilization can disrupt LACP operations, causing interface flapping and network instability, especially when fast LACP timers and many virtual local area networks (VLANs) are configured. A mitigation technique is proposed herein that uses the LACP Out-of-Sync bit to coordinate interface unbundling during high-CPU events, thereby reducing repeated timer-driven flapping and supporting orderly recovery.

Architectural And Mathematical Foundations Of Transform Coding In Image Compression: From Multiresolution Wavelet Pyramids To Hardware-Accelerated Discrete Wavelet Transform Silicon Engines, Gopi K. Tummala

Defensive Publications Series

As distributed compute platforms and high-resolution imaging pipelines scale, uncompressed raw visual data presents a severe transmission bandwidth and memory storage wall. A 24-bit 1024 × 1024 uncompressed frame consumes 3.0 MB of storage, requiring over 7 minutes to transmit across legacy 64 Kbit/s ISDN channels, whereas a 10 : 1 compression reduces this footprint to 300 KB and sub-6-second latencies. This research paper presents a comprehensive mathematical, algorithmic, and microarchitectural evaluation of foundational transform coding paradigms—spanning Discrete Cosine Transform (DCT), Karhunen-Lo`eve Transform (KLT), Fractal Iterated Function Systems (IFS), Spline Regularization, and Multiresolution Discrete Wavelet Transforms (DWT). We formulate the …

Numerical Validation Of An Aperiodic Bi-Ionic Magnetic Nozzle Architecture For High-Field (48.38 T) Continuous Electromagnetic Acceleration., Daniel Schramm

Defensive Publications Series

This disclosure details the multi-physics finite element verification and structural co-optimization of a continuous-operation, meter-scale electromagnetic propulsion architecture. The design utilizes a bi-ionic, aperiodic golden-ratio magnetic nozzle configuration. Computational evaluation confirms structural, thermal, and electrical viability under a continuous 48.38 Tesla field at a 1 Megawatt load.

Key closed-loop validation metrics include:

• Structural Containment: Implementation of a 32% CuNb/high-strength metal interleaving fraction successfully attenuates peak local magnetic stresses (1.630 GPa), yielding a secure 1.40x safety margin against an 80.0 MPa epoxy delamination threshold.

• Electrical Viability: The co-optimized winding pack sustains an engineering current density of 227.5 A/mm², maintaining the critical …

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Ccwe‑Ω4.0 — Unified Atmospheric‑Hydrodynamic‑Plasma Clean‑Water Engine A Builder‑Ready, Multi‑Physics Pfas/Microplastic Mineralization Reactor For Global Deployment, Michael Victor Caldwell Mr.

Defensive Publications Series

The CCWE‑Ω4.0 is a fully integrated, open‑hardware clean‑water engine designed to permanently destroy PFAS, microplastics, pathogens, hydrocarbons, and recalcitrant contaminants using a unified multi‑physics architecture. Unlike conventional filtration systems that trap contaminants on media, CCWE‑Ω4.0 performs true molecular mineralization, eliminating toxic waste streams entirely.

CCWE‑Ω4.0 integrates:

• Atmospheric water harvesting (GCI #272 Hyper‑Arid MOF Engine)

• Hydrodynamic cavitation (VMR Titan‑2.0)

• Acoustic vortex concentration (Vortex Sentinel AV‑1)

• Cold‑plasma PFAS destruction (Sentinel‑AV‑1‑2.0)

• Gyroid thermal buffering (Forgecell Prime‑2.0)

• Gyroid cooling & resilience (UGCRM‑1.0)

• Multi‑modal resonance mapping (MMRA‑2.0)

• Cognitive multi‑physics stabilization (CMRS‑1)

• Thermoacoustic gradient amplification (CRFG‑1R‑2.0)

• Atmospheric resonance alignment (ARPN‑2.0)

• Hydrology mapping (GRHN‑2.0)

• Off‑grid energy harvesting …

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