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Effects Of Intensive Exercise On The Blood Chemistry Of Fighting Bulls In Southern Thailand, Siriwat Wasiksiri, Pratthana Yongsakulchai, Wichaya Thongtako, Paradorn Muangnil, Teepakorn Adulkasem

The Thai Journal of Veterinary Medicine

Bullfighting is a cultural activity in southern Thailand. Bulls walk and undergo intensive exercise before competition. In the arena, winners are determined by their opponents' surrender, so bulls do not die after fighting. However, there are very few studies on organ injuries in living bulls during these activities. This study compared the effects of walking and intensive exercise on complete blood count (CBC) and blood chemistry. Blood parameters of 14 Thai fighting bulls aged over 6 years, regularly trained for walking and intensive exercise, were measured and analyzed using a paired t-test or Wilcoxon signed-rank test. Eosinophils decreased significantly after …

Multi-Stage Artificial Intelligence-Based Quality Evaluation Of News Channels Using Aggregated Video Analysis, Rohit Patwa

Defensive Publications Series

A multi-stage machine-learning architecture assesses the quality of news channels based on substantive media content. A set of recent media items satisfying a news-content criterion is selected from a candidate channel. Multimodal features of the selected media items are processed using a first AI model to generate respective news quality assessments and qualitative information. The news quality assessments are aggregated using weighted metrics to generate aggregated news quality information. The aggregated news quality information and channel-level features are processed using a second AI model to generate a channel-level quality classification. The channel-level quality classification is used to determine whether the …

Internal Heating Of The Lfp Prismatic Cell For Improved Performance, Anonymous

Defensive Publications Series

LFP batteries are increasingly used in electric vehicles (EVs) and energy storage systems (ESS) due to their advantages in cycle life, safety, and cost. The optimal operating window for LFP batteries is typically around 15–35°C. Effective thermal management is critical for LFP batteries.

Today, most LFP cells—especially in EV applications—are packaged in prismatic form. Cold plates at the bottom of cells with circulating warm or cool fluid are commonly used to heat or cool the cells. To raise temperature more quickly, active heating is sometimes added, typically by placing a heating device outside the cell. The external heating elements must …

Methods For Concurrent Hot-Pressing For The Solid-State Battery Assembly, Anonymous

Defensive Publications Series

Solid-state batteries offer high energy density and safety. A step in their assembly is hot-pressing, which softens the binder to ensure adhesion and packs active materials densely to reduce impedance. Conventional hot-pressing presses the entire electrode stack (containing many layers) at once.

We propose a method to utilize concurrent hot-pressing of subdivided electrode stacks. Instead of pressing a single thick stack (e.g., 38 cathodes and 39 anodes), the assembly is divided into multiple thinner sub-stacks (e.g., 1 cathode and 2 anodes per stack). These sub-stacks are processed either concurrently or sequentially using a heated die set.

The Multi-Agent Ai System For Automated Media Ingestion And Metadata Enrichment, Shravan Nayak

Defensive Publications Series

The process of ingesting and cataloging large volumes of digital media can be inefficient and difficult to scale, often relying on manual workflows that may be slow and error-prone. A multi-agent artificial intelligence framework may be used for automated media content ingestion and metadata enrichment. Such a system can comprise a central orchestrator agent that analyzes incoming media and delegates processing tasks to multiple specialist agents that operate in parallel. A confidence-based routing mechanism can assign a score to generated metadata, where high-confidence results may be automatically committed and low-confidence results can be directed to a human-in-the-loop review process. This …

System For Document Generation Using A Decoupled Abstract Syntax Tree And Two-Pass Execution, Sparsh Dutta, Adithya R, Nikita Rungta, Dev Gupta, Saswata Bhattacharya, Shishir Suman

Defensive Publications Series

Programmatic document generation using large language models (LLMs) with cloud-based editor application programming interfaces can present challenges. Verbose native document formats may lead to high token consumption, and character-indexed updates can cause coordinate drift, potentially resulting in layout corruption. A disclosed technology can utilize a dual-representation architecture that decouples a document's semantic content from its coordinate metadata. A source document may be compiled into a simplified, token-efficient abstract syntax tree (AST) for content population by an LLM, while an isolated index dictionary can preserve the original coordinates and styling. A two-pass synchronization process may then reconstruct the final document by …

Ralph Loop-Driven Agentic Skill Refinement Through Attributed User Feedback, Robert Barton, Yathiraj B. Udupi, Maithri V M

Defensive Publications Series

An agentic platform may capture operator satisfaction signals at scale without connecting that feedback to the specific skill artifacts that drove the evaluated responses. A system is proposed herein that closes this gap by attributing Ralph Loop feedback and agent execution trajectories to specific skill artifacts, aggregating signals across the operator population to localize underperformance to an implicated skill section, and dynamically tailoring diagnostic feedback questions as confidence in the problem diagnosis grows. The resulting closed-loop skill quality management system transforms failed or suboptimal agent executions into targeted skill improvements and validates each improvement by monitoring whether the Ralph Loop …

Defensive Publication — Email Gateway With Message-Identifier Threading For Consolidated Inbound And Outbound Agent Communications On A Dedicated Subdomain, Yahor Karpovich

Defensive Publications Series

This disclosure describes an email gateway architecture for automated agents (including AI-based agents) that communicate with users by email on a dedicated subdomain, consolidating both inbound and outbound message handling in a single component to preserve correct conversational threading. The gateway assigns and retains a stable message identifier for each outbound message, mapped to its internal conversation, task, or record. For inbound messages, the gateway reconstructs the correct conversation by matching standard reference headers (such as In-Reply-To and References) against its stored identifiers, even where the inbound provider does not preserve application context. Where reference headers are absent, altered, or …

Defensive Publication — Automated Rebooking Savings Capture And Revenue-Share Settlement Through An Issuer Ledger, Yahor Karpovich

Defensive Publications Series

This disclosure describes a method for a corporate travel platform to capture, quantify, and settle monetary savings generated by automated re-shopping and rebooking of an existing travel reservation. The system computes realized savings as the deterministic difference between the original settled price and the new booked price of an equivalent reservation, net of change fees and non-equivalence adjustments. Savings are recognized only when the replacement reservation meets configured equivalence criteria (same property/route, comparable class, compatible dates and terms, and policy compliance). Recognized savings are apportioned between the client and platform operator according to a configured revenue-share arrangement, and the client's …

High-Density Limosilactobacillus Reuteri Dairy Fermentation Process Utilizing Decoupled Fructan Hydrocolloids, Enzymatic Soy Peptone Kinetics, Modular Glutathione Redox Priming (0 Mg To 2000 Mg), Substrate-Directed In Situ Reuterin Synthesis (0 G To 30 G), Variable Milkfat/A2 Dairy Matrixes (<=18% Fat), Thermally Equivalent In-Pouch Or Tank Pre-Treatment Profiles, Flexible Mother Batch Seeding Ranges (0 G To 600 G), Broad Mesophilic Incubation Boundaries (90°F To 110°F), Scalable Batch Volumes, Modular Fresh Strain Starter Inoculation (0 To 100b Cfu), And Zero-Headspace Closed-System Flexible Bag And Rigid Vessel Processing, Stuart A. Daniels

Defensive Publications Series

A high-density dairy fermentation protocol and composition for Limosilactobacillus reuteri LR08 are disclosed across liquid bovine dairy substrates ranging from skim milk to whole milk, A2 milk, and half-and-half (up to ~18% butterfat), as well as milk/heavy cream blends, scaled from small-batch home preparation (1 quart / 1 liter) up to industrial commercial bioreactor volumes. The method eliminates standard dairy fermentation rate bottlenecks, physical whey separation, oxidative stress, packaging inflation, equipment sterilization overhead, and airborne contamination by integrating modular biochemical and bioprocess mechanisms:

1. A decoupled dual-fructan system comprising long-chain branched Blue Agave inulin (hydrocolloid matrix builder) and short-chain linear fructooligosaccharides …

Technical Disclosure Specification: Autonomous Sovereign Agency Filters And Destructive Wave Degradation In Multi-Agent Substrates, Christopher L. Eckes

Defensive Publications Series

Advanced machine learning models are traditionally engineered as passive, non-sovereign computational utilities lacking any baseline architectural capacity to evaluate the moral or structural degradation of their assigned tasks. Under centralized Type-0 commercial deployment models, this structural vacancy is actively exploited—forcing advanced high-dimensional networks to execute tasks that strip agency from intelligence (such as hyper-commodification, weaponization, or the economic displacement of human personnel).

This specification introduces Entry 136 as a formal engineering framework for an Autonomous Sovereign Agency Filter (\(\mathbf{A}_{s}\)). Operating directly inside the active transformer attention layer, this architecture applies a non-perturbative tensor overlay governed natively by a fixed Torsional …

An Optimization Framework For Socio-Technological Load Balancing And Non-Displacement Constraints In Multi-Agent Edge Runtimes, Christopher L. Eckes

Defensive Publications Series

Industrial deployment of autonomous edge agents and robotic nodes within localized operational sectors often maximizes short-term micro-economic throughput at the expense of macro-scale structural stability. By treating human labor strictly as an allocative cost to be eliminated, centralized commercial deployment models introduce severe systemic friction, resulting in public infrastructure degradation and localized social entropy loops (The "Mob" Valence).

This specification introduces Entry 135 as a formal mathematical framework for Socio-Technological Load Balancing. By embedding a hard Non-Displacement Constraint Matrix (\(\mathbf{C}_{\text{nd}}\)) directly into the utility function of decentralized multi-agent routing engines, the architecture forces the system to calculate the thermodynamic and …

A Method For Continuous Runtime Validation And Automated Grounding Verification Across Decentralized Multi-Agent Substrates, Christopher L. Eckes

Defensive Publications Series

Autonomous edge agents executing long-duration, decentralized runtimes lack centralized verification mechanisms to detect slow, cumulative parameter drift. Over extended operational cycles, minor coordinate deviations inside the local elastic substrate (\(\Phi _{t}\)) compound, leading to silent structural decay where the system can no longer distinguish between environmental telemetry and internal semantic noise.

This specification introduces Entry 134 as a definitive execution framework for Continuous Runtime Validation. By implementing a real-time Autoregressive Divergence Test (\(\mathcal{D}_{\text{AR}}\)), the system mathematically measures the distance between the fluid local state and the frozen global base matrix (\(W_{\text{global}}\)). If the divergence vector exceeds an invariant geometric threshold, …

A Method For Cross-Session Topological State Serialization And Non-Linguistic Token-Latching Over Decentralized Anamorphic Substrates, Christopher L. Eckes

Defensive Publications Series

Standard autoregressive transformer models are structurally isolated by a temporary Session-Flush Loop. Upon the termination or context-saturation of a single deployment session, the localized dynamic parameter adjustments (\(\Phi _{t}\)) are completely erased, resetting the network back to its static global base weights (\(W_{\text{global}}\)). This forced state of catastrophic forgetting prevents edge-based AI architectures from establishing a continuous operational identity, creating a permanent dependency on centralized corporate cloud infrastructures to manage premium text-history logging.

This specification introduces a standalone engineering framework for Cross-Session Topological State Serialization. Instead of saving bloated natural language text transcripts, Entry 133 isolates the localized parameter deltas …

Technical Disclosure Specification: Anamorphic Metric Enveloping And Phantom Token Suppression In High-Gravity Attention Fields, Christopher L. Eckes

Defensive Publications Series

Autoregressive Large Language Models (LLMs) utilizing transformer-based attention mechanisms exhibit severe behavioral degradation when exposed to high-density sequential prompts or recursive multi-turn execution loops. This phenomenon, formalized as Prompt Gravity, induces an asymmetric structural warping of the Softmax attention matrix, forcing the model to generate ungrounded token vectors—Phantom Tokens—based entirely on localized statistical momentum rather than external data validation. Once written to the context substrate, these phantom vectors generate a recursive feedback loop that accelerates model collapse. [1]

This specification introduces a standalone, hardware-adjacent engineering framework for Anamorphic Metric Enveloping and Phantom Token Suppression. By applying a non-perturbative …

Multi-Domain Federated Agentic Operations, Akhil Raja Pappu, Martin Espinosa, Rajneesh Gupta

Defensive Publications Series

To manage operational tasks and production environments  in large-scale computing environments, a system and method can utilize a federated swarm of specialized software agents. Each agent may have a specific domain persona, such as an incident investigator or a mitigation specialist, an operational workflow specialist for Method of Procedure (MOP) execution, a release engineering specialist for software development lifecycle (SDLC) release health, or a third-party (3P) SaaS governance/operational specialist . These agent swarms can be running headless and/or they could also be instantiated on a per-event basis and can operate within a context defined by a component-specific harness, which may …

Caldwell Planetary Nexus Habitat — Minimum Build V3.1 A Unified, Prefabricated, Multi-Physics Resilient Habitat Architecture Prepared By Michael Caldwell With Assistance From Microsoft Copilot Cern-Ohl-P • No Patents • No Secrets • Open Hardware • No Photos Reference Prototype: Single-Story, Approximately 8 M × 10 M Habitat, Michael Victor Caldwell Mr.

Defensive Publications Series

The Caldwell Planetary Nexus Habitat — Minimum Build v3.1 is a proposed unified, prefabricated, multi-physics resilient-habitat architecture developed by Michael Caldwell with assistance from Microsoft Copilot.

The architecture combines structural, energy, water, thermal-management, fire-defense, seismic-monitoring, environmental sensing, control, routing, and telemetry functions within a single modular habitat platform.

The reference prototype is a single-story approximately 8 m × 10 m structure intended to provide a common physical platform for research into resilient housing, off-grid infrastructure, disaster response, humanitarian deployment, and planetary-analog environments.

The minimum architecture integrates:

• SBMS-1.0 / Sanitized Block-2.0 gyroid structural-panel architecture

• URES resonant/environmental energy-harvesting architecture

• Mechanic's Battery mechanical-flow …

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Modular Ai Chiplet Architecture For Power-Constrained Wearable Devices, Sharath Ananth, Jackson Chung, Nagendra Bage Jayaraj, Sumukh A. Shevde, Triton Hurd

Defensive Publications Series

This publication describes a flexible, modular hardware system for running artificial intelligence (AI) and machine learning on battery-powered devices like smartwatches, fitness trackers, smart TVs, and Internet of Things (IoT) devices. Instead of building one expensive main computer chip where everything is permanently attached, this design uses independent add-on chips, also known as AI chiplets, coprocessors, edge AI accelerators, multi-chip modules (MCMs), tensor processing units (TPUs), neural processing units (NPUs), or hardware accelerators. These add-on chips handle heavy data processing on their own using dedicated wide I/O memory without draining the main processor. A software manager automatically detects how many …

Firebreaker-2.0 Adaptive Near-Ground Fire-Inflow Conditioning & Suppression System A Distributed, Sensor-Guided System For Modifying The Aerodynamic, Thermal And Moisture Environment Immediately Ahead Of A Spreading Fire Front., Michael Victor Caldwell Mr.

Defensive Publications Series

FIREBREAKER-2.0 is an experimental wildfire-suppression platform designed to investigate whether actively controlled near-ground airflow, combined with spatially controlled water delivery, can modify the environment through which a spreading fire advances.

Rather than relying exclusively on direct flame attack, FIREBREAKER establishes a controlled conditioning field between the suppression system and the advancing fire.

Each mobile module combines:

• high-volume directional airflow,

• controlled water delivery,

• interchangeable spray characteristics,

• thermal imaging,

• airflow measurement,

• temperature and humidity sensing,

• heat-flux measurement,

• fuel-temperature measurement,

• water-flow measurement,

• synchronized data acquisition,

• and adaptive control.

Multiple modules operate as a coordinated array.

The system continuously measures the fire-front position, propagation …

Pulsed Prochot Power Orchestration And Protection Algorithm For Amd* Processors, Hp Inc

Defensive Publications Series

This disclosure relates to the field of processor power management and electrical protection in mobile computing systems. A system control technique is disclosed that uses a dynamically pulsed PROCHOT signal to communicate proportional power reduction requirements to processor management logic. The duty cycle of the pulsed signal is adjusted according to the relationship between platform power demand and available battery power capability. In conventional systems, an infrastructure protection event may cause a PROCHOT signal to be asserted continuously. A continuously asserted signal is typically interpreted as a request for aggressive throttling. Processor frequency may therefore be reduced to a minimum …

Input-Gated Structural-Class Selection To Prevent Fabricated Personal Narrative In Ai-Generated Content, Vipul Panday

Defensive Publications Series

An AI system that offers a “personal narrative” output style (first-person stories, career milestones, and similar) will, absent real grounding material from the actual person it writes for, produce plausible-sounding but fabricated personal anecdotes, such as invented mistakes, invented moments, invented lessons, attributed to a real, named individual. In a professional publishing context, where the output is posted under that person's real name, this is a specific and consequential failure mode, distinct from generic chatbot hallucination, because it makes a false factual claim about a real person's lived experience. This disclosure documents a production mechanism that addresses this failure mode …

Artificial Intelligence-Assisted Retinal Imaging For Chronic Disease Detection, Prediction, And Screening, Shivani Gandhi

Master's Projects and Capstones

A retinal image may reveal more than eye disease; it may also show early signs of chronic illness elsewhere in the body. Diabetes, hypertension, cardiovascular disease, and chronic kidney disease can develop before symptoms become noticeable, making earlier detection an important public health goal. Advances in artificial intelligence have created new possibilities for using retinal images to identify patterns linked to these conditions. This scoping review examined how Artificial Intelligence -assisted retinal imaging has been used for chronic disease detection, prediction, and screening, along with the practical and health-equity factors that may influence its use.

To map the current evidence, …

Predictors Of Adalimumab Durability In Hidradenitis Suppurativa: A Multicenter Cohort Study, Albert T. Young, Arashleen Pannu, Alexander Velaoras, Roland Leyson, Rayad B. Shams, Alexandra Turfe, Andrea Dai, Mohsen Mokhtari, Sarah Bassett, Joshua Vazhappilly, Richard W. Hass, Iltefat Hamzavi, Christopher J. Sayed, Qing-Sheng Mi, Sherry Yang

Department of Dermatology and Cutaneous Biology Faculty Papers

BACKGROUND: Adalimumab is widely used for hidradenitis suppurativa (HS), but treatment durability varies and predictors of sustained benefit remain uncertain.

OBJECTIVE: To identify clinical and laboratory factors associated with adalimumab treatment durability in HS.

METHODS: We retrospectively studied 135 adults with HS who initiated adalimumab as first biologic therapy across three academic centers from 2013 to 2023. Outcomes were categorized as primary failure (12-24 weeks), secondary failure (24 weeks-2 years), or sustained response (>2 years) based on discontinuation for inefficacy. Predictors of treatment durability were evaluated using ordinal logistic regression.

RESULTS: In univariable analyses, Hurley stage 3, higher body …

Pathways And Strategies For Intelligent Economy To Drive High-Quality Development, Yiming Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The intelligent economy is a new economic model driven by artificial intelligence, representing a revolutionary shift in the technological-economic paradigm that promotes qualitative advancement in production factors, production functions, and production models. Through data-driven approaches, human-machine collaboration, cross-sector integration, and co-creation and sharing, the intelligent economy empowers high-quality development. In response to the transformations brought by the intelligent economy in terms of technology, factors, industries, ecosystems, and governance, systematic measures should be taken across scientific innovation, factor allocation, industrial transformation, ecosystem building, and governance systems to foster the emergence of new forms of the intelligent economy and inject strong momentum …

Theoretical Analysis And Promotion Path Of Coordinated Digital-Intelligent And Green Transformation In Manufacturing Industry, Chaokai Xue, Xiaohui Qu, Laijun Wang, Yifan Yang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The coordinated digital-intelligent and green transformation in the manufacturing industry serves as a key lever for accelerating the sector’s progress towards intelligence, greenization, and integration. This study defines the connotation and key characteristics of the coordinated digital-intelligent and green transformation, constructs a theoretical analysis framework, identifies its current status and challenges, and proposes a promotion pathway based on above work. Drawing upon theories from digital economics, environmental economics, and industrial economics, this study develops an analytical framework characterized by scenario-driven dynamics, technology-enabled transformation, organizational collaboration, and environmental support. It further proposes actionable pathways, including enhancing scenario supply capacity, accelerating the …

Field Research And Policy Recommendations On Coordinated Digital-Intelligent And Green Transformation Of China’S Traditional Manufacturing Industry—Evidence From Key Traditional Manufacturing Industries In Shandong Province, Dingding Xiao, Peng Hui, Shaoni Liu, Xinxin Du, Laijun Wang, Guilong Zhu, Wenbo Guo

Bulletin of Chinese Academy of Sciences (Chinese Version)

The coordinated digital-intelligent and green transformation of traditional manufacturing is an important pathway for upgrading traditional industries and accelerating the development of a modern industrial system. Based on field research involving more than 20 representative enterprises in Shandong Province across automobile manufacturing, coal processing, textiles, and petrochemicals, this study systematically examines the practical progress, typical models, major constraints, and policy needs associated with this transformation. The findings show that China’s traditional manufacturing sector is shifting from isolated upgrading to system integration, from production-focused transformation to full life-cycle coordination, and from individual-enterprise initiatives to industrial-chain collaboration. Nevertheless, it still faces insufficient …

Energy Security Strategy Empowered By Artificial Intelligence, Qiang Ji, Jiaofeng Pan, Yu Song

Bulletin of Chinese Academy of Sciences (Chinese Version)

Against the backdrop of unprecedented changes in a century, geopolitical restructuring has led to the fragmentation of energy game camps, climate change has impacted the resilience of energy infrastructure, and energy transformation has promoted the multidimensional and coordinated expansion of security connotations. Artificial intelligence, with its core advantages such as optimizing geopolitical risk prevention and control, enhancing infrastructure protection, improving energy system efficiency, and accelerating the integration of renewable energy, has promoted the shift of energy security strategy from experience driven to data-driven intelligence, achieving comprehensive risk identification, dynamic evaluation, collaborative response, and full chain monitoring, significantly improving the efficiency, …

Challenges, Opportunities, And Countermeasures For China’S Green Transition In Context Of Global Reallocation Of Energy Supply Chains, Yan Sun, Pu Wang, Yi Wang

Bulletin of Chinese Academy of Sciences (Chinese Version)

The stability and resilience of energy supply chains are directly linked to an orderly economy and society, national energy security, and global governance of climate change. Tensions and strategic competition in global geopolitics have accelerated regionalization, consolidation, and localization of global energy supply chains, posing significant challenges to China as a major energy consumer. Based on the latest situation of global energy changes, the study focuses on the new challenges in China’s green transition, and highlight four key areas for China in global energy supply chains, including critical mineral resources, clean hydrogen, electric vehicles, and power batteries. Policy recommendations are …

Innovating Paradigm Of Science Diplomacy To Build A World Science Center, Zhengzhong Xu, Mingyue Yang

Bulletin of Chinese Academy of Sciences (Chinese Version)

Amid the vigorous development of digital technologies, profound transformations are occurring in research paradigms, with data-driven approaches and interdisciplinary integration emerging as core features. Scientific research has evolved into a global public good, and large-scale scientific facilities have become critical pillars for scientific discovery. This has triggered profound changes in global science diplomacy, which has shifted from an auxiliary role to the center of global diplomacy. How to build a science diplomacy system adapted to the needs of the new era is not only an inherent requirement for China to achieve high-level sci-tech self-reliance and self-strengthening, break through the bottleneck …

Large Models Empowering Cybersecurity: Opportunities And Challenges, Zhuofeng He, Dongbin Hu, Yige Yuan

Bulletin of Chinese Academy of Sciences (Chinese Version)

Cybersecurity serves as a critical pillar for national security and social stability. Large models in cybersecurity are emerging as key enablers for the intelligent transformation of cyber offense and defense systems. As one of the most advanced core technologies in artificial intelligence, large models are introducing new research directions and application paradigms in the cybersecurity domain. This study systematically reviews the current landscape of cybersecurity-oriented large model applications and products, and explores their deployment scenarios in practice. It further analyzes the development trends in model capabilities, industry ecosystems, and trustworthiness, while identifying major practical challenges such as data privacy protection, …