Digital Commons Network^™

Per-User Kv Cache With Active User Windowing And Tiered Memory Placement For Billion-Scale Llm Recommendation, Anonymous

Defensive Publications Series

Techniques manage per-user attention key-value (KV) caches for large language model (LLM) recommendation serving at very large user scale. A cache manager maintains activity windows to bound the number of users whose KV cache tensors are retained. KV caches for users active within a hot window are stored in GPU high-bandwidth memory at higher precision, while KV caches for users active within a warm window are stored in host RAM in a more compact quantized format. Entries are demoted from the hot tier to the warm tier after a hot inactivity threshold using quantization, promoted back to the hot tier …

Modular Protocol Bridge Band For Enabling Certified Smartphone Communication In Neural Interface Wearables, Anonymous

Defensive Publications Series

A replaceable wearable band includes an embedded protocol bridge module that enables certified smartphone communication for a wearable core device. The band carries a wired interface that provides power and data between the wearable core device and the protocol bridge module. The protocol bridge module includes an authentication coprocessor and a dual-mode Bluetooth system-on-chip and translates between a wired-device protocol and a certified accessory communication protocol carried over Bluetooth Classic to a smartphone. The wearable core device interacts with the protocol bridge module as a wired peripheral without implementing the certified accessory protocol. In some embodiments, the protocol bridge module …

Multi-Agent Ai System For Human-In-The-Loop Document Packet Verification, Bhavani Sankar Sikakolli, Kalyan Konidala, Pinkesh Badjatiya, Yogesh Indoria, Gourabdip Ghosh, Siddhant Kurmi, Aryan Singh, Tilottama Basu, Farhan Rawani, Sangram Mohite

Defensive Publications Series

Verification of document packets for regulatory compliance may rely on manual review, which can be inefficient and susceptible to error. Some automated tools may not adequately compare data across diverse structured forms and unstructured evidence within a packet. A multi-agent artificial intelligence system can use specialized agents, which may leverage large language models, to automate processes such as the ingestion, classification, extraction, and validation of information. The system can employ a configurable source-of-truth hierarchy and multi-tiered matching logic to validate data. A human-in-the-loop mechanism can present flagged discrepancies or unverified fields to a human specialist for review and adjudication. This …

The Substrate Pushback Principle: Replacing Particle Dark Matter With Holographic Confinement Fields, Christopher L. Eckes

Defensive Publications Series

This paper introduces the Substrate Pushback Principle, a theoretical framework that replaces particle-centric dark matter models with an emergent informational cosmology. Instead of introducing hypothetical ultra-light bosons, we demonstrate that galactic dark matter halos can be modeled as non-local confinement fields generated by the holographic limits of spacetime. By mapping the baryonic stress-energy tensor to an information-load metric bounded by Bekenstein limits, we show that high-density galactic cores trigger an inward, geometric stabilization pressure from the spacetime substrate. This computational surface tension inherits the exact macroscopic wave mechanics of contemporary Fuzzy Dark Matter (FDM) models. Furthermore, by defining the substrate's …

Global Research Institutions Most Likely To Build & Test The Caldwell Open‑Hardware Portfolio (2026 Edition) A Cross‑Domain, Field‑Indexed, Search‑Optimized Directory For Universities, Engineering Labs, Medical Centers, Atmospheric Networks, Space Agencies, And Applied‑Physics Research Groups, Michael Victor Caldwell Mr.

Defensive Publications Series

The Caldwell Open‑Hardware Portfolio contains more than 300 publicly available, builder‑ready inventions across energy harvesting, water systems, food resilience, medical bio‑acoustics, atmospheric science, space systems, materials engineering, compute infrastructure, and disaster‑resilience technologies. All inventions listed in this directory are open‑hardware, non‑patented, and publicly accessible on the Technical Disclosure Commons (TDC) under the author name “Michael Victor Caldwell.”

This disclosure is designed to maximize global discoverability, increase institutional downloads, improve AI‑driven indexing and recommendation, enhance search‑engine visibility, support prototype development and laboratory testing, and connect inventions to research programs across multiple domains. The directory uses semantic indexing, cross‑domain keyword clustering, and …

Spatially Modulated Wavefront Quantum Key Distribution With Non-Local Quantum Zeno Dynamic Phase-Collapse (Geometric Wavefront Scytale With Entanglement-Triggered Self-Immolation), Johny Manuel-Devadoss, Jayden Johnson

Defensive Publications Series

This disclosure describes a method and system for securing free-space Quantum Key Distribution (QKD) against intercept-and-resend, quantum cloning, and wide-aperture phase-matching attacks by employing multi-spatial mode quantum states combined with real-time, non-local phase collapse. Rather than encoding cryptographic keys in conventional linear single-photon streams, the system distributes information across the Orbital Angular Momentum (OAM) and radial phase profiles of a macroscopic, spatially sculpted wavefront through a dynamically varying Topological Transposition matrix, M(t). This approach renders the encoded information inherently orthogonal to conventional linear eavesdropping apertures while enabling high-dimensional quantum state encoding.

To protect against partial interception and coherent cloning attempts, …

Informational Exomemory Cosmology: Dark Energy As The Semiclassical Landauer Erasure Cost Of Horizon Microstates, Christopher L. Eckes

Defensive Publications Series

This paper presents a rigorous theoretical framework—Informational Exomemory Cosmology (IEC)—that derives Dark Energy entirely as an emergent, thermodynamic byproduct of cosmic information processing. Rather than postulating a fundamental scalar field or an intrinsic vacuum energy density (\(\rho _{\text{vac}}\)), we model the three-dimensional (3D) cosmic volume as a holographic projection governed by a global, invariant two-dimensional (2D) boundary: the Cosmological Future Causal Horizon.

Every localized physical interaction inside the bulk updates the quantum configuration state of the universe. Because the ultimate future horizon features a strict Bekenstein-Hawking memory capacity, the universe must continuously clear its cache of obsolete microstates to maintain …

Are Combat Athletes Different Sleepers? A Pittsburgh Sleep Quality Index-Based Comparative Survey Across Athletic Populations, Zofia Tkocz, Małgorzata Hołda Dr, Michał Spieszny, Adam Zając, Robert Trybulski, Aleksandra Filip-Stachnik

Baltic Journal of Health and Physical Activity

Background: Sleep plays an important role in athletic performance, recovery, and cognitive function. The aim of this study was to compare sleep quality and selected sleep-related  variables in combat sports athletes and athletes from other sport disciplines . Materials and Methods: Ninety-eight competitive athletes participated in the study, including 52 combat sports athletes and 46 athletes  representing other sport disciplines. Sleep quality was assessed using the modified Pittsburgh Sleep Quality Index (PSQI) with a weekly recall period, global PSQI score and additional  variables, such as sleep duration, sleep latency, and habitual sleep-wake times, were analyzed using general linear models adjusted …

Milan Kundera As A Representative And A Theorist Of World Literature, Lucija Mandić

CLCWeb: Comparative Literature and Culture

The article traces the evolution of Milan Kundera’s notion of world literature across his career, contextualizing his writings within major historical events, including the so-called liberalization of Czechoslovakia in the 1960s, the post-1989 transition of the former Soviet bloc, and the turn of the millennium. Throughout the years, but particularly after his own immigration to France in 1975, Kundera consistently tied the notion of world literature with that of Central Europe to emerge with a conceptual framework that enabled him to position (semi-)peripheral European literatures within the Western canon. In his influential 2005 essay “Die Weltliteratur,” Kundera ultimately reframed the …

Against Pleonexia: Auerbach, World Literature, And The End Of History, Simon During

CLCWeb: Comparative Literature and Culture

Erich Auerbach’s essay on world literature, written in the early postwar period, has become central to our understanding of the field. This essay contextualizes Auerbach on world literature by approaching it through his larger project, which it thinks about in relation to scholars rarely considered in this context. These scholars are the French literary historians and critics Hippolyte Taine and Remy de Gourmont, and the German historical sociologist Alexander Rüstow. To place Auerbach at an intersection of these very different figures turns out to be illuminating. It both enlarges our sense of him and helps us better understand why he …

Small Nations, Big Debates: Empowering The Slovenes As A Subject Of World History In The Critical 1930s, Marko Juvan

CLCWeb: Comparative Literature and Culture

The article looks at how Slovene intellectuals and writers in the 1930s attempted to redefine the role of a small nation within the world-system in the face of global economic crisis, authoritarianism, imperialism, and the threat of fascist expansion. Three central interventions are examined in detail: firstly, Josip Vidmar’s culturalist defense of Slovenia as a nation defined by its intellectual and artistic achievements, which is contrasted with Edvard Kardelj’s Marxist reinterpretation of the Slovene national question as part of a broader anti-imperialist struggle; secondly, Anton Ocvirk’s peripheral model of comparative literary history, which emphasizes the creative contribution of small literatures …

Beyond The Great Wall: Zheng Zhenduo’S “Unification” Of World Literature At The Juncture Of China’S May Fourth And Post-World War I Era, Wenxin Liang

CLCWeb: Comparative Literature and Culture

This article examines Chinese literary scholar Zheng Zhenduo’s 1922 essay “A View on the Unification of Literature” (Wenxue de tongyiguan 文學的統一觀) as a counter-narrative to both imperial isolationism and post-World War I nationalist fragmentation. Writing at the intersection of China’s May Fourth Movement and the global post-war crisis, Zheng developed a theory of world literature that challenged both Goethean Eurocentrism and the compartmentalization of comparative literary studies. Through systematic analysis of Zheng’s theoretical writings, editorial projects, and pioneering work on folk literature (suwenxue 俗文學), this article demonstrates that Zheng’s project of “the unification of literature” operated on three …

Reconsidering Karl Marx’S Concept Of World Literature, Kenneth Cheng

CLCWeb: Comparative Literature and Culture

It is widely assumed that Karl Marx and Friedrich Engels regarded world literature as an epiphenomenal product of the capitalist world market, and therefore as a symptom of rather than potential cure to the crisis of modern society. However, this conflicts with the fact that they designated the Communist Manifesto itself as a world-literary production—the joint work of communists of various nationalities—and opposed it to the national limitations of German socialist literature. This article challenges existing interpretations by outlining how Marx and Engels incorporated the humanistic idealism of the Goethean Weltliteratur tradition into the theoretical framework of historical materialism. It …

A Robust Hybrid Security Framework: Integrating Multi-Layered Text Encryption With Barcode-Based Steganography, Mohamed Sayed, Talaat M. Wahbi, Farooq Abdalwahab Haboub

BAU Journal - Science and Technology

The widespread use of the Internet is causing increasing security concerns regarding online communications. One method for achieving secure communication between authorized parties is steganography. We herein employ multilevel technologies, including compression, encryption, barcoding, and steganography to secure a secret text message. Type I multilevel steganography is used with a two-level setup. The first level uses enhanced least significant bit (secure LSB-L1) image steganography; the output is a stego-image file, the cover is an image file, and the secret data in this level is English text. The output from the first level is encrypted using the RSA algorithm, and the …

Optimize Optical Properties Of Cdte Solar Cell For Pv Applications, Mabrouk Hassan Arhoma

BAU Journal - Science and Technology

In order to to develop thin film heterojunction solar cells, CdTe is one of the most promising absorber materials cells. Electrodeposition CdTe materials solar cell are being focused by Several key researchers. This is due to its direct energy band gap and its high absorption coefficient and the best efficiency obtained for a small-area. In this work CdTe films were electrochemically deposited from aqueous solutions. Different preparative parameters such as growth voltage and heat treatment conditions were optimized. The CdTe layers were deposited at 655, 665, 675, 685 and 695 mV vs SCE. Material characterization were carried out using optical …

Recent Advances In Phosphatidylinositol Phosphate Kinases (Pipks) And Their Inhibitors, Mengxia Sun, Jian Hu, Xuefei Huang

BAU Journal - Science and Technology

Phosphatidylinositol phosphate kinases (PIPKs) are an important class of enzymes in humans, which produce lipid signaling molecules playing central roles in pathogenesis of diseases such as cancer, neurodegenerative diseases, and viral infection. Consequently, they are attracting increasing attention as drug targets for disease treatment. This review summarizes the functions of the PIPK family enzymes and highlights recent efforts on designing novel inhibitors against PIPKs. These advances are extensively discussed to stimulate interest in this field and promote further development of highly potent and selective inhibitors for innovative therapeutic applications.

Unmasking Twitter Bots: An Applied Machine Learning Approach, Rayane El Raba’A, Layal Abu Daher

BAU Journal - Science and Technology

The rapid growth of social networks has led to increased challenges, such as fraud, cyberbullying, and the spread of automated accounts (bots). Detecting anomalies within these networks is essential to maintaining security and trust. This study explored machine learning algorithms: Random Forest, XGBoost, Support Vector Machine (SVM), and Logistic Regression for anomaly detection in social networks, specifically focusing on Twitter bot identification, By applying AI-driven data mining techniques to a dataset of 37,438 Twitter bot accounts dataset, the research evaluates the effectiveness of these models in detecting unusual patterns. XGBoost achieved the highest accuracy (84.9%), with an ROA_AUC of 0.87, …

Emerging Technologies For Safety Risks Management On Nigerian Road Construction Projects, Ranti Taibat Adebiyi, Mujidat Olubola Babalola, Richard Olushola Olupeka, Ganiyu Amuda Yusuf, Lukman Olarewaju Olorunoje, Amina Damola Amuda

BAU Journal - Science and Technology

High level of safety risk on road construction projects remains a major concern for all industry stakeholders, as safety of workers is paramount to achieving project success. Managing construction safety requires a more comprehensive approach. New technologies have recently emerged to enhance construction safety. This study examines the level of adoption and barriers to the implementation of these technologies in safety risk management on road construction sites in Lagos, Nigeria, with a view to improving the safe delivery of the road projects. A questionnaire was designed and administered to two engineers and one worker randomly selected on each of sixty-one …

Enhanced E-Commerce Recommendation Experience With Collaborative Sentiment Analysis And Ranked Content-Based Filtering, Sandi El Zein, Farah Hamze, Amani Merhi, Lynn Noureddine, Lama Affara

BAU Journal - Science and Technology

The rise of online shopping has made informed purchasing decisions increasingly difficult, as consumers face an overwhelming number of product choices and struggle to manually evaluate specifications and user reviews. This paper presents an AI-powered, sentiment-aware product recommendation tool that effectively aligns user preferences with real-world customer feedback from online reviews. The proposed system utilized Instruct ABSA deep learning models for feature extraction and DeBERTa-v3 for sentiment analysis to turn reviews into interpretable scores that would nominate optimal products. An interactive Rasa-based chatbot interface, TopPickAI, was developed to give a seamless user experience, educate users on product features, and conversationally …

Afforestation Strategies In Semi-Arid Mediterranean Ecosystems: Experimental Evidence From Chmistar, Lebanon, Ahmad Saker, Mohammad Saleh, Wael Mostafa, Safaa Baydoun, Jamilah Borjac, Dalia El-Badan

BAU Journal - Science and Technology

The success rate of broadleaf tree growth in semi-arid Mediterranean environments is reduced in afforestation operations constrained by water scarcity, shallow soil depth, and intense competition from herbaceous vegetation. This study, conducted between 2022 and 2024 in Chmistar, East Lebanon, using a completely randomized block design, aimed to evaluate the impact of three planting broadleaf trees techniques (traditional digging pits , hoedad tools, and auger digging) and four effective vegetation control (herbicide application, mowing,  mulching, and no control) on the early growth of three native broadleaf tree species (Pistacia palaestina, Quercus calliprinos, and Quercus infectoria ).

The …

Progressive Contextual Augmentation Of Digital Media Using Implicit Prompts, Ashwin Goyal, Nick Staubach

Defensive Publications Series

Automatically surfacing content from media libraries can be highly useful, enabling users to effortlessly discover relevant contextual information and related data without having to perform manual searches. However, current methods usually require users to manually search for information, or rely on rigid rules that fail to capture the user's specific, current context. This disclosure describes techniques that automatically provide contextual information about media in a user’s library without requiring explicit prompts from the user. Media content items in a user’s gallery are weighted for their importance to the user. The metadata and content of an image (or other content item) …

Gci‑Universal Resonant Energy Stack (Ures/Mmra/Grhn V1.0) A Three‑System Open‑Hardware Architecture For Replacing Conventional Solar Panels With Multi‑Modal Resonant Energy Harvesting License: Cern‑Ohl‑P (Permissive) No Patents. No Secrets. No Photos. Builder‑Ready., Michael Victor Caldwell Mr.

Defensive Publications Series

This unified disclosure presents three interoperable energy systems designed to evolve and replace conventional solar panels:

URES v1.0 — Universal Resonant Energy Skid  

1. A retrofit system that upgrades existing solar panels using Arachne Smart‑Skin, TEHL, vortex cooling, and APR AI.

MMRA v2.0 — Multi‑Modal Resonant Array  

1. A next‑generation resonant panel built on Arachne Gyroid Lattices, multi‑spectrum capture, and integrated vortex cooling.

GRHN v1.0 — Global Resonant Harvesting Network  

1. A frontier system using CMRS‑1, Ariadne’s Braid, Omni‑Vortex stacks, and environmental resonance harvesting.

All three systems include:

• BOMs

• ASCII diagrams

• safe build guidance

• prototype testing protocols

• viability percentages

• improvement estimates

• cross‑invention integration

The Dimensionally Extended Holographic Projection Model (Dehp), Christopher L. Eckes

Defensive Publications Series

This framework presents a qualitative cosmological model exploring the universe as an emergent three-dimensional (3D) projection originating from a foundational two-dimensional (2D) information boundary. By redefining time as a function of geometric distance from this source boundary, the model offers a unified, intuitive perspective on dark energy, dark matter, and gravitational singularities that aligns with modern holographic and braneworld concepts.

The Metric Confinement Principle: Non-Perturbative Quantum Gravity Without Fundamental Gravitons, Christopher L. Eckes

Defensive Publications Series

This paper introduces a novel, non-perturbative quantum cosmological framework wherein gravity is treated strictly as a macroscopic, non-fundamental, emergent phenomenon. The foundational degrees of freedom reside entirely on a dual-state, non-gravitational 2D spatial substrate (the boundary layer) containing opposing potential valences. Crucially, this framework postulates the non-existence of the graviton as a fundamental force-carrier particle. What macroscopically manifests as gravitational attraction in the projected 3D bulk is reinterpreted as a state of perpetual geodesic translation driven by how the 3D metric tensor topologically filters the underlying dual-state substrate information. By introducing the Metric Confinement Principle, this framework ensures absolute consistency …

Master Project Architecture: Systems Engineering Framework For An Autonomous, Thermally Integrated, Relativistic Interstellar Platform, Christopher L. Eckes

Defensive Publications Series

This technical disclosure presents the overarching design, interface standards, and operational lifecycle framework for the Autonomous Hive-Mind Sensor Probe (AHSP). The AHSP is a building-scale (60-meter length, approximately 500-metric-ton dry mass), non-biological, modular spacecraft chassis optimized for autonomous, multi-decade interstellar transit at relativistic velocities (\(0.05c - 0.1c\)).

By eliminating the severe mass, volume, and atmospheric shielding constraints associated with biological life-support systems, the AHSP architecture reallocates its structural mass budget to create an entirely unified, self-sustaining thermodynamic and computational ecosystem. This master architecture coordinates six highly integrated technical disclosures and one long-range theoretical supplement, establishing a non-siloed spaceflight platform where …

System And Method For Cryptographically Verifying Autonomous Agents In Merchant Transaction System, Sumit Kumar Roy, R V. Vighnesh, Apurba Pandey, Komaljot Kaur

Defensive Publications Series

ABSTRACT

A system for cryptographically verifying autonomous agents in merchant transaction systems includes a verification server configured to receive a transaction request from a terminal agent in a multi-agent delegation chain. The verification server parses a delegation chain manifest from the transaction request, wherein the delegation chain manifest comprises a linked list of signed hop records, each hop record capturing a delegation event from a delegator to a delegate. The verification server verifies, for each hop record in the delegation chain manifest, a delegator signature against a public key retrieved from an agent registry. The verification server verifies a hash …

Gci Universal Wildfire Conversion Skid (Uwcs‑1 / Uwsm‑1) An Open‑Hardware Retrofit Architecture For Converting Existing Water‑Carrying Fleets Into Wildfire Suppression Assets, Michael Victor Caldwell Mr.

Defensive Publications Series

This disclosure defines a builder‑ready, open‑hardware retrofit system that converts existing commercial, industrial, agricultural, mining, municipal, and military water‑carrying trucks into wildfire‑capable suppression units using a bolt‑on skid module.

The GCI Universal Wildfire Conversion Skid (UWCS‑1 / UWSM‑1) integrates:

• A vortex–thermoacoustic hybrid pump delivering 150–300 GPM at 250–400 PSI with pump‑and‑roll and dirty‑water drafting

• A VMR‑derived drafting and debris‑separation manifold for ponds, lakes, pools, canals, and reservoirs

• A fire‑rated discharge manifold with VETI‑3.0 vortex ejector nozzle integration for long‑range, coherent water jets

• Optional crew‑protection and monitoring modules based on CIWFRS, CORES, and GCI Vortex Sentinel (AV‑1)

• A power and control …

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Gci‑501 Tornado Resonance‑Detection & Early‑Action Module (Trd‑Eam) V1.0 Open‑Hardware Tornado Early‑Warning Device, Michael Victor Caldwell Mr.

Defensive Publications Series

The Tornado Resonance‑Detection & Early‑Action Module (TRD‑EAM) is a standalone, open‑hardware tornado‑warning device that uses:

• ARPN infrasonic sensing

• pressure‑wave harmonics

• vorticity resonance detection

• temperature inversion sensing

• humidity‑wave detection

• EM field anomaly detection

• multi‑node coherence

• CICIS tornado logic

• ADEP tornado alert packets

to provide 10–30 minutes of tornado precursor warning.

TRD‑EAM is designed to be:

• printed on any 3D printer

• assembled with basic tools

• powered by TEHL (no batteries)

• flashed with open firmware

• deployed anywhere

• tested tomorrow

This module is the physical tornado‑warning device that completes GCI‑500.

Gci‑400 Arg‑Cm V1.0 — Atmospheric Resonance‑Guided Climate Modulation Network, Michael Victor Caldwell Mr.

Defensive Publications Series

The Atmospheric Resonance‑Guided Climate Modulation Network (ARG‑CM) is a fully open‑hardware, distributed system that uses real‑time atmospheric resonance sensing (ARPN) to predict moisture waves, trigger uplift, seed clouds, and coordinate atmospheric‑water harvesting in order to cool local and regional climates and reduce heat‑wave intensity.

ARG‑CM integrates:

• GCI‑322 ARPN v1.1 — Atmospheric Resonance‑Prediction Network

• Phoenix‑Water Engine (GCI‑268) — Atmospheric water harvester

• VAR (GCI‑280) — Vortex Atmospheric Reclamator

• CIFRS‑N v4.0 — Food‑Water‑Energy Nexus

• OSM v4.0 — Omni‑Sentinel Mesh

• TEHL‑v1.0 — Thermal‑Energy Harvesting Loop

• Sanitized Block — Structural housing

• CICIS — Compute and control backbone

This disclosure provides everything needed for engineers to …

Gci‑322 Arpn V1.1 — Atmospheric Resonance‑Prediction Network, Michael Victor Caldwell Mr.

Defensive Publications Series

The Atmospheric Resonance‑Prediction Network (ARPN) is a distributed, self‑powered, open‑hardware atmospheric sensing mesh designed to detect pre‑storm infrasonic resonance, pressure‑wave anomalies, and multi‑physics atmospheric signatures in real time. ARPN replaces numerical weather prediction (NWP) with direct physical sensing using a gyroid‑lattice resonant cavity, PVDF piezoelectric membranes, multi‑physics sensors, and a low‑power mesh network based on Ariadne’s Braid (GCI‑286) and CICIS.

Each ARPN node is battery‑less, powered by the Thermal‑Energy Harvesting Loop (TEHL‑v1.0), hardened using the Sanitized Block composite, and deployable via GCI‑320 Swarm Recovery & Pelletization. The system integrates seamlessly with CIFRS‑N, Phoenix‑Water, VAR, CIWFRS, and the broader Caldwell ecosystem. …