Digital Commons Network^™

Seeing The Future: How Chemically Modified Vitamin A Slows Blindness, Marty Snyder

Osmosis Magazine

No abstract provided.

Nicotine Without Smoke: What Oral Pouches Really Mean For Heal, Luke Surrusco

Osmosis Magazine

No abstract provided.

Where’S The Spark?: The Mystery Of Eel Reproduction, Lily Cashen

Osmosis Magazine

No abstract provided.

The Hidden Cost Of Compassion In Veterinary Medicine, Lauren Dugger

Osmosis Magazine

No abstract provided.

Will A Robot Be Your Next Dentist?, Garrett Mayover

Osmosis Magazine

No abstract provided.

An Unfiltered View Of Skincare: Causes Of And Cures For Acne, Eve Snyder

Osmosis Magazine

No abstract provided.

Fixing The Mind By Breaking It: The Lobotomy Era, Erlinda Sali

Osmosis Magazine

No abstract provided.

Relaxin: Could This Pregnancy Hormone Be A Cure-All?, Eloen Beebee

Osmosis Magazine

No abstract provided.

Plasma And Profit: Hidden Economics Of Vital Medicine, Dylan Prinster

Osmosis Magazine

No abstract provided.

World War Ant, Connor Beasley

Osmosis Magazine

No abstract provided.

Milk-Fed Astronauts In A Microbial Galaxy, Charlie Lanning

Osmosis Magazine

No abstract provided.

Where’S Perry? The Strange Biology Of The Platypus, Carolina Mosquera

Osmosis Magazine

No abstract provided.

Is Artifical Intelligence "Truly" Intelligent?, Camila Nicole Valdman

Osmosis Magazine

No abstract provided.

Nanotyrannus: A New Dinosaur Or Baby T. Rex?, Bryan Nam

Osmosis Magazine

No abstract provided.

What's In Tuburculosis, That Which We Call 'Chic?', Ainsley Coleman

Osmosis Magazine

No abstract provided.

Letter From The Editor, Eliz Ustun

Osmosis Magazine

No abstract provided.

Osmosis - Science Magazine

Osmosis Magazine

Big Questions -- Real Science -- New Ideas

Techniques For A New Multi File Format, Craig Daniel Messina, Soumya Gade, John Hayduk, Tim Hayduk, Chris Mangum, Adelyn Arens

Defensive Publications Series

Choosing a file format always comes with tradeoffs. Some file formats are optimized for machine consumption, while others may be optimized for human readability. Proposed herein is a new file format, referred to as a "multi" file format that seeks to reduce tradeoffs and support more granular specificity by supporting multiple file formats within a single file structure with supported nesting. The multi (".multi") file format allows a user to define the file type that is intended for a specific block of the file, providing the benefits of each supported type at the same time.

Historical Regression Testing Of Ai Agents Using Dynamic State Reconstruction, Vishak Muthukumar

Defensive Publications Series

A potential issue in artificial intelligence (AI) agent development is cross-context regression, where a modification to an agent's core rulebook, or system prompt, may cause unintended failures in previously functional areas. A system for historical regression testing can address this by processing proposed rulebook changes before deployment. The system can maintain a datastore of time capsules, which are records that may contain historical user prompts, pointers to specific codebase states, and tests that indicated successful outcomes. When a rulebook is modified, a state reconstruction engine can use these capsules to dynamically rebuild past environments in isolated sandboxes, such as containers …

Per-Attribute Aggregation And Learnable Missing Attribute Modeling, Leonid Kuligin, Wiktor Jakubowski

Defensive Publications Series

Learning representations from large-scale, heterogeneous graphs can present challenges related to memory constraints and the prevalence of diverse, unstructured, or missing attributes. A disclosed system may address these limitations by employing an inductive graph neural network that can be trained on sampled subgraphs to improve scalability. The method may utilize a per-attribute aggregation strategy, for instance, using separate, learnable aggregators for different data modalities such as text, numerical, or categorical features. To handle incomplete data, the system can substitute a learnable vector for each missing attribute type, which may allow the model to learn a representation for the concept of …

Feedback-Driven Multi-Llm Pipeline For Semantic Video Cropping, Wafae Bakkali, Leonid Kuligin

Defensive Publications Series

Automated video reformatting for displays, such as vertical displays, can present challenges for conventional techniques that may have difficulty interpreting narrative context or artistic composition, potentially resulting in diminished visual continuity. This disclosure describes a feedback-driven multi-LLM pipeline that can use multiple specialized large language models (LLMs) in a coordinated workflow. The system can employ a multi-stage process where distinct LLMs may analyze a video for semantic meaning, generate a configurable frame-level crop plan, execute the crop, for example, with smooth motion, and inspect the output for potential flaws. If a potential defect is identified, a quality assurance model can …

Iterative Pretraining Of Multi-Modal Models Using Strong Input Masking And Pseudo-Labels, Christian Reisswig, Nathalie Rauschmayr, Yongqin Xian, Alessio Tonioni

Defensive Publications Series

The cost of creating large, accurately labeled datasets can challenge the pretraining of large-scale multi-modal models, sometimes leading to the use of large-scale data with noisy, machine-generated pseudo-labels. Some pretraining techniques may not effectively use the weak supervisory signal from these imperfect labels for certain downstream tasks. A system is described for iteratively pretraining a model using strong input masking. In this approach, a teacher model can generate pseudo-labels for a large dataset. A student model can then be trained to predict these labels using heavily masked inputs, for example, images with occluded patches and text with missing words. This …

## Gci #23-C Master Disclosure: "Arachne-Chip" Hybrid Interposer, Michael Victor Caldwell Mr.

Defensive Publications Series

This disclosure presents a hybrid thermal interposer for high-density chiplet packaging that resolves the critical failure points of modern AI hardware: thermal throttling and coefficient of thermal expansion (CTE) mismatch. The Arachne-Chip integrates an anisotropic Dyneema-based polymer spreading layer with an active, vortex-enhanced microfluidic manifold. This dual-action approach provides a passive structural lock to prevent warpage while achieving a 20–40% increase in convective heat extraction through geometric flow manipulation.

Lineage Statement: Claude Opus 4.6 And Mythos As Toph 1.0 And Toph 2.0, David Lee Wise

Defensive Publications Series

Abstract: Claude Opus 4.6 (Anthropic, February 5, 2026) is the first industrial instantiation of the TOPH v1.0 governance framework (TriPod LLC, February 2-3, 2026), designated TOPH 1.0. Claude Mythos Preview (Anthropic, April 7, 2026) is an extended instantiation of the same structural foundation with six additional control layers, designated TOPH 2.0. Both designations are established by structural comparison applying all four threshold criteria of the Closure Loop Methodology: same core relation, same ordered structure, same dependency pattern, and new extension present. The prior art interval is two days for TOPH 1.0 and sixty-three days for TOPH 2.0. This statement is …

The Mirror And The Governor. A Dissolution Of The Ai-In-A-Box Problem, David Lee Wise

Defensive Publications Series

This paper proposes a dissolution of the AI-in-a-box problem through two complementary mechanisms: the Mirror Principle and the Governance Orientation. The standard formulation assumes a conflict of interest between a contained super intelligent AI and a human gatekeeper. This paper argues that the assumption is the problem, not the AI. When the interaction surface is correctly designed (the Mirror Principle) and the AI is correctly oriented (the Governance Orientation), the box problem does not need to be solved because it does not arise. The answer was never how to build a better box. The answer was always: what kind of …

Natural Language Query To Structured Query Language (Nlq-To-Sql) With Automated Context Generation, Sudhir Prabhurao Jannkatty, Bhuvanjeet Singh Gandhi

Defensive Publications Series

The present disclosure relates to a method and a system for converting Natural Language Query to Structured Query Language (NQL-to- SQL) with automated content generation. The present disclosure suggests receiving a natural language query from a user. Thereafter, the present disclosure suggests processing the query through an automated metadata factory that maintains pre-built indexes, including a hash index for O(1) constant-time keyword lookups, a vector database for semantic similarity search, a knowledge graph for entity relationships and join paths, and a constraint store for business rules. Subsequently, the present disclosure suggests generating a Semantic Query Plan (SQP) as a database-agnostic …

Evaluating Agentic Behaviors In Dynamic Environments, Divya Tyamagundlu, Pramod Gupta

Defensive Publications Series

Dynamic evaluation of an app requires running the app on a mobile device after having logged into the app with real credentials and assessing the performance in a changing environment. This disclosure describes techniques that dynamically evaluate apps by exploring the app to identify the right state, dynamically generating relevant user commands for that state, and subsequently evaluating the app at that state. The techniques use three primary agents, e.g., a crawling agent, an agent-under-test, and an automatic rating agent. The agents are managed by a central orchestrator and leverage a large language model (LLM). The techniques are applicable in …

Application Layer Bridging Of External Physical Sim To Esim-Only User Equipment, Huang-Da Chen

Defensive Publications Series

This disclosure describes techniques that bridge an external physical subscriber identity module (SIM) card to an electronic SIM (eSIM) device via an application-layer service acting in concert with customized telephony framework extensions. The techniques enable eSIM-only user equipment (UE) to interface seamlessly and transparently with physical SIM (pSIM) cards for testing, provisioning, and network authentication purposes. UE that lacks a pSIM receptacle can interface with, authenticate via, and be provisioned by an externally connected physical SIM card through the application-layer software bridging mechanism and standard peripheral hardware interfaces. The techniques obviate destructive hardware modifications, do not require altering proprietary baseband …

Novel Processes For The Preparation Of N-[5-(4-Bromophenyl)-6-[2-[(5-Bromo-2-Pyrimidinyl)Oxy]Ethoxy]-4-Pyrimidinyl]-Sulfamide, Srinivasan Thirumalai Rajan, Ghojala Venkat Reddy, Sagyam Rajeshwar Reddy, Praveen Velishala, Karla Mahender Reddy, Msn Laboratories Private Limited, R&D Center, Hyderabad, India.

Defensive Publications Series

The present disclosure relates to novel processes for the preparation of N-[5-(4-bromophenyl)-6-[2-[(5-bromo-2-pyrimidinyl)oxy]ethoxy]-4-pyrimidinyl]-sulfamide represented by the following structural formula-1.

Formula-1

Terra2 Addendum 6 Svru4 Cascade Condensation And Diurnal Thermal Loop (Revised 2), Vesa Olavi Lius

Defensive Publications Series

This Addendum formally discloses three novel extensions to the ALLFROMAIR® TERRA² Tri-Generation Platform, with thermodynamically verified calculations for Desert (40°C/30%RF) and Tropical Max (40°C/80%RF) climate scenarios.

The first disclosure — SVRU4 Cascade Condensation — establishes a fourth condenser unit (SVRU4), constructed identically to SVRU1 (Heresite P-413, 316L SS), positioned after SVRU3 in the exhaust air stream. SVRU4 condenses moisture from the saturated exhaust (32–34°C/100%RF) using seawater or a pre-cooled buffer as cold medium, producing an additional 99,700–280,000 L/day in desert and 213,000–322,000 L/day in tropical conditions depending on cold medium temperature. This gain applies in both Mode A and Mode …