Digital Commons Network^™

Computer Vision Camera Sensor With Embedded Ai Features And Imu For Ultra-Low Power Adaptive Device Management, Anonymous

Defensive Publications Series

A computer vision camera sensor module includes an image sensing element, embedded AI processing, and an inertial measurement unit (IMU) to support ultra-low power always-on operation and adaptive device management. The sensor executes AI algorithms locally to analyze visual data and IMU motion data, detect user activity and environmental change, and select among tracking modes including 3-DoF tracking for sedentary activity and 6-DoF tracking for standing or walking. Based on detected meaningful change, the sensor autonomously maintains other device sensors or cameras in standby or triggers their activation, while avoiding wake-up of a backend processor for decision-making. The module may …

Cross-Platform Agent Contamination Detection And Containment, Anonymous

Defensive Publications Series

Cross-platform agent contamination detection and containment is disclosed for autonomous agents that operate across multiple recommendation platforms while sharing preference memory. Preferences are stored with structured provenance metadata identifying an origin platform and interaction context, optionally including cryptographic signatures, confidence tiers, influence tracking, and quarantine status. Cross-platform monitoring computes temporal and categorical correlation metrics, including influence scoring and causality-oriented tests, to determine whether acquisition on one platform predicts behavior change on another. When suspected contamination is detected, affected preferences are quarantined with platform-differentiated influence control, optionally including recursive quarantine of influenced preferences, while enabling independent local verification and cross-verification to …

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 …

Dynamic Multi-Space Agent Rotation For Persistent Ai Assistants In Rotating Operational Roles, Anonymous

Defensive Publications Series

A single persistent AI agent operates across multiple operator-dedicated communication spaces and switches which space it actively serves according to external rotation schedule data. The agent maintains a unified domain knowledge base that persists across rotations and separate per-user profiles that customize behavior per operator. At rotation boundaries, the agent automatically generates a shift summary for an outgoing operator, stores open issue context into the unified domain knowledge base, switches active output routing to an incoming operator’s space, loads the incoming operator’s profile, sends a welcome briefing including open issues and recent patterns, and activates monitoring in the new space. …

Pipelined Asynchronous Prefetch With Decoupled Fill Queues And Completion-Order Processing For Storage-Backed Embedding Tables, Anonymous

Defensive Publications Series

Techniques are described for prefetching embeddings from SSD-backed storage using a decoupled pipeline. Cache misses are identified by a caller thread and enqueued to a miss queue. A dedicated reader stage dequeues misses, issues asynchronous multi-key storage reads, and forwards completed results individually to a fill queue in completion order rather than request order. A dedicated cache filler stage dequeues fill entries and inserts embedding values into one or more caches, optionally selecting fill work using a priority policy that accounts for urgency (e.g., embeddings awaited by a forward pass), access frequency, and batch position. The reader stage may adapt …

Multi-Organ Living Donor Matching System Using Social Graph Embedding With Donation-Aware Bias And Heuristic Medical Compatibility Scoring, Anonymous

Defensive Publications Series

A computer-implemented platform matches living organ donors with recipients using self-reported profile data and social-network data. A request is routed by organ type to kidney, liver, or bone marrow logic. A Friend2Vec graph embedding model constructs a weighted social graph, performs biased random walks, and trains a Skip-Gram network to produce user embeddings. Friend2Vec adds a donation-aware bias parameter that preferentially traverses edges associated with successful donation events. Embeddings are fused with medical and geographic attribute vectors using a learned fusion layer with layer normalization. A multi-layer perceptron predicts P(Donation | Donor, Recipient) from concatenated donor and recipient embeddings, their …

Gpu-Storage I/O Isolation For Distributed Embedding Training Systems, Anonymous

Defensive Publications Series

A GPU-storage I/O isolation architecture is described for distributed embedding training with SSD-backed embedding tables. Storage-related callbacks are registered using a host function launch mechanism that holds a GPU driver mutex only during enqueue, allowing blocking key-value store reads to execute on a CPU thread without stalling other CUDA streams. SSD read completions are delivered through a condition-variable-backed fill queue that wakes a filler thread without polling. Cache eviction is overlapped with prefetch using a double-buffer eviction manager that alternates buffers across training steps while a background thread writes dirty entries back to SSD. A stream isolation scheduler assigns dedicated …

Distributed Cache Coherence Protocol For Tiered Embedding Storage Across Multi-Node Training Systems, Anonymous

Defensive Publications Series

A multi-node training system uses tiered embedding storage with a high-bandwidth memory cache and local persistent storage on each node. Each node maintains a probabilistic cache directory, such as a Bloom filter, that encodes identifiers of cached embedding rows and periodically exchanges the directory with peer nodes, optionally using delta updates. Upon a local cache miss, a fetch decision engine consults received directories to identify candidate peers and selects between a one-sided RDMA read from a peer’s cache and a local persistent-store read based on estimated costs and load limits. Remotely retrieved embeddings are accepted subject to a staleness threshold …

Ai-Driven Runtime Software Adaptation With Ai Judge Validation And Sandboxing, Mira Leung

Defensive Publications Series

Static, pre-compiled software applications can be rigid, limiting their ability to provide dynamic, personalized user experiences and often requiring slow, resource-intensive update cycles. A system is described that can enable software to adapt its functionality or user interface at runtime. The system may utilize an architecture of artificial intelligence (AI) agents to generate code or configuration modifications based on high-level goals. A feature of this system can be an automated validation loop where an AI-based judge evaluates these modifications against a governance corpus of rules for security and correctness. Approved modifications can then be executed within a sandboxed environment in …

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 …

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 …

Automated Service Case Triage Using Real-Time Sentiment And Sensitivity Analysis, Parnika Singhal, Deep Raithatha

Defensive Publications Series

Systems and methods are described to address potential challenges in enterprise service management that can arise from delayed feedback and manual case routing. A described technology can utilize a processing pipeline to perform near real-time analysis of service interactions. This pipeline can ingest text-based communication data, sanitize it to remove personal information, and apply a computational linguistic model to classify user sentiment and identify predefined sensitive topics. Based on this analysis, a system may enable automated workflows, for example, the intelligent routing or escalation of cases that meet certain sentiment or sensitivity criteria. The system can also provide real-time sentiment …

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, …

Regarding World(S): A Review Of Elisha Cohn’S Milieu: A Creaturely Theory Of The Contemporary Novel (2025) And Daniel Wright’S The Grounds Of The Novel (2024), Katarzyna Bartoszyńska

CLCWeb: Comparative Literature and Culture

No abstract provided.

World Literature According To Its Poster Children, Jernej Habjan

CLCWeb: Comparative Literature and Culture

Some of the most influential pronouncements on world literature have been made by the kind of authors who are most likely to emerge as representatives of world literature once we agree on a definition, including Goethe, the young Marx, Tagore, Gorky, Hesse, Kundera, and the distinguished signatories of the manifesto for a world-literature in French. Breaking out of this vicious circle by referring to the authority of pure theorists of world literature is not the solution, as this would only pull us into a new vicious circle where most of these theorists would mostly remind us of the names that …

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 …

The Proletarian Moment In World Literature, Anna Björk Einarsdóttir

CLCWeb: Comparative Literature and Culture

During the interwar period (1918–1939), an international literary movement emerged in relation to internationalist and socialist politics and political struggles. Writers around the world saw themselves as contributors to a new proletarian moment within the historical unfolding of world literature. This movement was international, and writers situated on the peripheries of both the capitalist core and the emerging socialist world looked toward revolutionary Russia and other centers of the socialist world. This paper focuses on three such authors, the American Richard Wright, the Argentinian Roberto Arlt, and the Icelander Halldór Laxness. During the interwar period, all three were involved in …

Zheng Zhenduo And The Problem Of Priority In World Literature, Daniel M. Dooghan

CLCWeb: Comparative Literature and Culture

This essay investigates how Zheng Zhenduo (郑振铎 1898–1958) developed a theory of world literature in response to threats to China both politically from without and culturally from within. Centered on an analysis of his 1922 article “A View on the Unification of Literature” (Wenxue de tongyiguan 文學的統一觀), the essay argues that although Zheng believed like many of his contemporaries in the transformative effects of reading world literature in translation, that does not constitute the entirety of his theorization of world literature. Instead, he accepted the first-move advantage of other national literatures in defining both world literary standards and literature …

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 …

World Literature: From Perpetual War To Perpetual Peace (And Back Again), Sándor Hites

CLCWeb: Comparative Literature and Culture

In this article, I address the relationship between world literature theories and questions of peace and war. I argue that the genesis of the concept of world literature in the 1790s was informed by profound transformations, in political theory, of the issue of the relevance and meaning of war and peace and their public perception. Theorists such as Wieland, Novalis, Jean Paul, and Fichte offered their concepts in response to the French Revolutionary and Napoleonic Wars, adjusting them to shifting frontlines and the change of military fortune. Goethe’s notion of Weltliteratur already reflected on the geopolitics of the post-Napoleonic age, …

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 …

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, …

Can Gingival Crevicular Fluid Help In Diagnosing Pulp Inflammation? A Systematic Review, Wael Kassamany, Roula Abiad

BAU Journal - Science and Technology

This review aims to find if there’s a positive correlation between biological markers detected in human gingival crevicular fluid and pulp inflammation.

An electronic search of three databases; PubMed, EBSCOhost and Google Scholar was conducted using the keywords “tooth or teeth or pulp” AND “gingival crevice fluid or gingival crevicular fluid” for English articles published between the year 1990 and 2026. Information regarding study design, patients age range and gender distribution, sampling method used, types of biomarkers studied, assay test used, and key findings of each article were extracted and analyzed.

Biomarkers studied were substance P “SP”, neurokinin A “NKA”, …

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 …

Fostering Employee Creativity Through Leader Support: The Moderating Role Of Curiosity In Saudi Smes, Badr J. Alharbi

Scientific Journal of King Faisal University: Humanities and Management Sciences

This study investigates the pivotal role of supportive leadership in fostering individual creativity within the burgeoning Small and Medium-sized Enterprise (SME) sector of Saudi Arabia. In alignment with the innovation-driven mandate of Saudi Vision 2030, this research explores how leader support for creativity interacts with employee curiosity to enhance innovative output. By adopting a quantitative approach, data were synthesized from 145 employees across 27 SMEs within Riyadh's high-growth technology and communications industry. The findings underscore that leadership support is not merely a passive backdrop but a dynamic catalyst that significantly amplifies both curiosity and creative performance. Specifically, the analysis reveals …

Perceived Effects Of Summer Enrichment Program Training On Teachers' Instructional Practices, Amra Mohammed

Scientific Journal of King Faisal University: Humanities and Management Sciences

This study examined whether teaching experience in the Summer Enrichment Program (SEP) was associated with K–12 teachers' self-reported instructional practices. The sample included 34 teachers, 22 with prior SEP experience and 12 without, who completed the Instructional Practices Survey. Hierarchical multiple regression analysis was used to test whether SEP experience predicted instructional practice ratings after controlling for years of general teaching experience. Results indicated that SEP experience was not significantly associated with variance in self-reported instructional practices, and years of teaching experience showed little independent relationship with the reported practices. Descriptive analyses revealed very similar mean scores for teachers with …

Self-Updating Media Collections Using Query Embeddings, Ashwin Goyal, Nick Staubach

Defensive Publications Series

Media library applications allow users to organize their media such as photos and video into collections. Dynamic, self-updating collections are implemented in some applications, but are limited to narrow criteria such as a particular person label, a particular object type, etc. Current dynamic collection generation mechanisms do not support complex natural language criteria that a user may want to express, e.g., “all my photos after a workout; include screenshots from my fitness tracker.” This disclosure describes techniques that use a large language model (LLM) or other suitable model to transform complex user-specified criteria into a vector representation. Media assets in …

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) …