Digital Commons Network^™

Gci‑V3.1: Multimodal Acoustofluidic Platform For Deformability‑Based Particle Sorting And Focused Mechanical Neutralization, Michael Victor Caldwell Mr.

Defensive Publications Series

GCI‑v3.1 introduces a modular, multimodal acoustofluidic platform designed to investigate how rigid and elastic micro‑ and nano‑scale structures respond to controlled mechanical forces. The system integrates four independently testable physics modules—(1) inertial–Dean flow deformability sorting, (2) surface‑acoustic‑wave (SAW) boundary‑layer conditioning, (3) cavitation‑driven differential damage probability, and (4) adaptive harmonic energy localization—into a unified materials‑interaction research scaffold. Each module is validated through simulation‑ready parameters, dimensionless transport metrics, and fabrication‑ready microfluidic and acoustic hardware specifications.

The platform exploits measurable contrasts in Young’s modulus, acoustic impedance, inertial lift, and phonon‑coupling behavior to mechanically differentiate rigid particles from elastic ones without …

Universal Co-Packaged Copper Interconnect Footprint, N/A

Defensive Publications Series

A universal footprint for co-packaged copper interconnects facilitates compatibility across diverse mating interfaces on a single substrate design. By utilizing a common physical footprint, various interconnect products can interface with the same substrate without committing to a single proprietary design. This approach allows system integrators to scale hardware deployments while maintaining flexibility in sourcing interconnect components.

Keywords: Co-packaged copper, interconnect, universal footprint, substrate design, mating interface, elastomeric interposer, compliant tail, micro-LGA socket.

Hardware Implementation Of An Adaptive Acknowledgment Request Mechanism With Rate Limiting In A Reliable Transport Protocol Offload Engine, N/A

Defensive Publications Series

This publication describes a hardware-based approach for an adaptive acknowledgment request mechanism with rate limiting within a reliable transport protocol offload engine. The approach aims to balance low upper layer protocol operation latency and timely congestion feedback against the overhead of excessive acknowledgment packets.

Keywords include acknowledgment request, rate limiting, reliable transport protocol, offload engine, upper layer protocol, congestion control, and packet sequence number.

Framework For Autonomous Agent Resilience Via Self-Correcting Execution Loops, Michael Kochera

Defensive Publications Series

Autonomous agents in complex workflows can be unreliable, potentially failing due to semantic errors, for example, incorrect tool usage, model hallucinations, or malformed outputs, which may not be addressed by some system-level fault tolerance methods. A resilient agent framework can introduce self-correction loops at the individual agent-execution level. The framework may operate by intercepting and validating an agent's actions; if a failure is detected, it can provide structured, context-aware feedback, enabling the agent to use in-context learning to self-correct and retry its immediate task. This approach improves the reliability of autonomous agents by helping to resolve semantic errors, reducing a …

Error Type Aware Deduping For Genai/Ml Workloads On Computational Accelerators, N/A, N/A

Defensive Publications Series

The present disclosure is directed to an error-aware deduplication system and method for high-performance computational accelerators, such as application specific integrated circuits (ASICs), graphics processing units (GPUs), and other hardware accelerators, particularly those supporting generative artificial intelligence (GenAI) and machine learning (ML) workloads. The present disclosure introduces a smart filtering mechanism that evaluates the specific types of errors occurring within a deduplication period. By prioritizing error severity over chronological order, the system can ensure that high-priority failures, such as hardware (HW) errors, are surfaced even if they are preceded by filtered or less significant events. The disclosure details two primary …

Local Replication With Internet Group Management Protocol Snooping, N/A, N/A

Defensive Publications Series

The present disclosure is directed to multicast scalability in cloud networking environments by shifting packet replication from a central gateway to individual physical hosts. In high-density hosting scenarios where multiple virtual machine (VM) endpoints reside on a single machine, conventional gateway replication saturates shared, single-threaded reorder processors, leading to performance degradation and packet drops. An approach may implement an internet group management protocol (IGMP) snooping agent on each host to intercept join and leave messages, enabling the maintenance of a per-group mapping of local subscribers. This allows the multicast gateway to transmit only a single copy of a packet to …

Signaling Router Maintenance To Bgp Peers Using A Novel Bgp Message, N/A, N/A

Defensive Publications Series

The present disclosure is directed to signaling a planned maintenance event between peering network devices, utilizing a specialized routing protocol message. A first network device may generate a maintenance notification message that includes a unique message-type code, a maintenance-type field, and an anticipated-duration field. The maintenance type field may specify a category of maintenance, such as a “Software upgrade” or a “User-initiated”, while the duration field may indicate an estimated time for session re-establishment. This message may also include a textual description field for additional context like reboot for maintenance type field “User-initiated”. The first network device may transmit the …

Personalized Offline Tool Implementation For Large Language Models Via Usage Grounding, Victor Carbune, Florian Hartmann

Defensive Publications Series

Large language models often utilize external tools through programming interfaces to solve complex tasks. While small language models can be executed on local devices, the associated tools typically reside on remote servers, which prevents offline functionality and introduces latency. A method is disclosed for porting online tools to local implementations by grounding the porting process in specific user usage patterns. Actual tool usage is monitored to record a distribution of inputs and outputs. Based on this recorded distribution, simplified tool variants are synthesized using techniques such as zero-shot prediction, few-shot learning, or the generation of local executable code. These alternative …

Tool State Tracking And Steering For Multi-Turn Large Language Model Interactions, Victor Carbune, Florian Hartmann

Defensive Publications Series

Interactions between large language models and external tools in multi-turn conversations often face limitations due to the black-box nature of many tools. Because tool behaviors can change or may not be fully captured during model training, the model may struggle to accurately track tool states or effectively refine outputs across multiple exchanges.

An inference-time technique is disclosed to model tool behavior and track state transitions. The method involves monitoring tool inputs and outputs during a conversation to build a representation of the tool’s state. Reflection steps are integrated into the reasoning process to evaluate how a tool is being invoked …

Asynchronous Execution Of Large Language Model Tool Calls Via Partial Argument Decoding, Florian Hartmann, Victor Carbune

Defensive Publications Series

Tool calls in large language models are traditionally issued only after all arguments are fully decoded. This sequential process results in increased latency, particularly for tools requiring multiple parameters where some arguments are not immediately necessary for initial execution steps. This disclosure describes a method for the asynchronous execution of tool calls through partial argument decoding. Tools are decomposed into sub-tasks to identify the specific order and timing for each argument requirement. The model is trained to generate arguments in this optimized sequence. During inference, tool execution is initiated as soon as the first required arguments are decoded. Parallel processing …

Purpose Fine-Tuned Large Language Model For End User Application Detection, Rajasekar Subramanian, Divyansh Sharma, Praveen Voonna, Koushik Padavalli Gowrish

Defensive Publications Series

Accurate network application classification is essential for quality of service, security, and regulatory compliance, yet traditional Deep Packet Inspection (DPI) approaches struggle with encrypted traffic, scalability, and evasion vulnerability, while existing machine learning approaches lack explainability and require costly retraining.  To address these challenges, the techniques presented herein implement AppLLM, a system that combines structured Chain-of-Thought (CoT) training with Low-Rank Adaptation (LoRA)-based fine-tuning to enable protocol-aware, explainable classification.  By embedding domain-specific reasoning into training data and system prompts, supporting dual-mode inference for latency optimization, and integrating directly into the Vector Packet Processing (VPP) data plane, AppLLM delivers accurate, low-latency classification …

The Picture Exchange Communication System (Pecs) As A Functional Form Of Low-Technology Aided Augmentative And Alternative Communication (Aac): A Systematic Review, Faith K. Curran

Pacific Journal of Health

This systematic literature review was completed with the aim of investigating the functionality of the low-technology aided Augmentative and Alternative Communication (AAC), Picture Exchange Communication System (PECS). In this review, functionality was defined by how successful AAC users used PECS. Fifteen peer reviewed primary sources which were published between 2020 and 2025 were selected to provide a current and relevant analysis. There was not enough current research to support the use of PECS across various functions of language. However, PECS is mainly used for one to two language functions, object requesting and commenting. Further research studying the success rates of …

Therepairer_Vol33no12_Dec1928

The Repairer

No abstract provided.

Therepairer_Vol33no11_Nov1928

The Repairer

No abstract provided.

Therepairer_Vol33no10_Oct1928

The Repairer

No abstract provided.

Therepairer_Vol33no9_Sept1928

The Repairer

No abstract provided.

Therepairer_Vol33no8_Aug1928

The Repairer

No abstract provided.

Therepairer_Vol33no7_July1928

The Repairer

No abstract provided.

Therepairer_Vol33no6_June1928

The Repairer

No abstract provided.

Therepairer_Vol33no5_May1928

The Repairer

No abstract provided.

Therepairer_Vol33no4_April1928

The Repairer

No abstract provided.

Therepairer_Vol33no3_March1928

The Repairer

No abstract provided.

Therepairer_Vol33no2_Feb1928

The Repairer

No abstract provided.

Therepairer_Vol33no1_Jan1928

The Repairer

No abstract provided.

Therepairer_Vol32no12_Dec1927

The Repairer

No abstract provided.

Therepairer_Vol32no11_Nov1927

The Repairer

No abstract provided.

Therepairer_Vol32no10_Oct1927

The Repairer

No abstract provided.

Therepairer_Vol32no9_Sept1927

The Repairer

No abstract provided.

Therepairer_Vol32no8_Aug1927

The Repairer

No abstract provided.

Therepairer_Vol32no7_July1927

The Repairer

No abstract provided.