Digital Commons Network^™

Vacuum-Indicator Ribbon Gasket For Bail-Type Glass Jars With Integrated Machine-Vision Inspection Capability, William Heublein

Defensive Publications Series

A one-piece or two-piece food-grade silicone gasket for bail-type (hinge-top, flip-top, clamp-lid) glass jars incorporates an integrated cross-diameter ribbon element with a central elliptical aperture. The ribbon element functions as a mechanically deflectable, optically readable vacuum-integrity indicator readable from above the sealed jar by top-down machine-vision inspection systems.

In the preferred embodiment, the ribbon is intentionally asymmetric: the two halves on opposite sides of the aperture have different widths, producing a differential bending stiffness. Under vacuum, the ribbon deflects upward into the recessed inner volume of the glass lid, and the aperture undergoes measurable lateral centroid displacement along the ribbon …

Electronic Device Placement Via Three-Dimensional Space Reconstruction, Ruofei Du, Mahdi Tayarani Najaran

Defensive Publications Series

Difficulties are encountered when determining placements for electronic devices to ensure coverage of a physical space. A framework for visualizing coverage and suggesting device quantities through three-dimensional space reconstruction is described. Live camera and depth data from portable electronic devices are utilized to generate a digital representation of an environment. A transformer-based neural network is employed to determine device poses and quantities based on the reconstructed space and semantic attributes. Coverage areas, areas without coverage, and unmonitored hazard zones are depicted in real-time, maintaining alignment as a device is physically reoriented. A data-driven approach for deploying equipment such as cameras, …

Method For Active Aligning A Microdisplay To A Freeform Lightguide, Ozan Cakmakci, Weicheng Lai, Christian Lizarazu, David Karr

Defensive Publications Series

Techniques are described for aligning a display element relative to an optical component using image-based measurements and model-driven estimation.  One or more image-derived metrics, such as a modulation transfer function (MTF) and/or geometric characteristics including feature displacement or distortion, are evaluated as a function of alignment parameters including translational and rotational degrees of freedom.  A set of measurements may be obtained by sampling the metric or metrics at selected positions, and a model of the metric may be constructed or updated using measurement data and prior information, for example derived from simulation or calibration.  An alignment configuration associated with improved …

Modulized Binocular Display System, Che-Wei Liu, Yi Qin, Claire Guo, Thomas Hoekman

Defensive Publications Series

An adjustment mechanism is provided to connect a left lens and a right lens of smart glasses such as glasses that can include a head-mounted display (HMD), a heads-up display (HUD), or an augmented reality (AR) overlay. The adjustment mechanism allows modification of the relative orientation of the left lens and the right lens to support stereoscopic imagery. Orientation of the left lens or the right lens is adjusted using a gearbox system that allows modification of a corresponding display angle (or incoming angle) of light representing a stereoscopic image that is overlaid with the passthrough images of the real …

Phase‑Aligned Predictive Audio Modulation Utilizing Biomechanical Telemetry And Asymmetric Compute, Nikita Agarwal

Defensive Publications Series

Current physiological audio‑feedback systems may rely on reactive media adjustments (e.g., track skipping, uniform time‑stretching), which can disrupt user immersion or introduce acoustic phase distortion. This publication describes a predictive audio modulation system that dynamically isolates and modulates individual instrumentation layers within an active audio track. The system utilizes a machine learning model to anticipate pacing deviations based on cardiovascular exertion and topographical data. To improve synchronization, the system phase‑locks audio transients to biomechanical footstrikes using an inertial measurement unit (IMU). Further, the system employs an asymmetric computing architecture to dynamically balance computational loads between a primary wearable device and …

Adjustable Floating Multi-Material Seal For Charging Port Light Rings

Defensive Publications Series

This article describes a multi-material floating seal system for vehicle charging port light rings designed to compensate for assembly tolerances. The system comprises a rigid primary housing, a flexible intermediate seal with a bellows-like 'V' profile, and a rigid retention ring with snap features. By snapping directly onto the charging inlet, the intermediate seal allows the assembly to 'float' relative to the vehicle body, ensuring consistent fit-and-finish and a robust barrier against water and debris across three axes of variation.

Solid Forms Of Inaxaplin, Processes For Preparation, And Pharmaceutical Compositions Thereof, Prashanth Venukathala, Venukathala Prashanth

Defensive Publications Series

The present invention relates to the field of pharmaceutical sciences and material chemistry. More particularly, the invention relates to novel solid forms of the apolipoprotein L1 (APOL1) inhibitor Inaxaplin, including a novel crystalline form, an amorphous form, novel solvates, and amorphous solid dispersions (ASDs). The invention further provides cost-effective, industrially scalable processes for their preparation and pharmaceutical compositions containing them for treating kidney diseases.

Ambient Cognitive‑Clearance System (Accs V4.0): A Zero‑Wearable, Non‑Contact, Sleep‑Synchronized Glymphatic Modulation Platform For Dementia Prevention And Cognitive Health, Michael Victor Caldwell Mr.

Defensive Publications Series

The Ambient Cognitive‑Clearance System (ACCS v4.0) is a non‑contact, zero‑wearable, room‑scale device designed to support cognitive health by enhancing sleep quality, autonomic stability, and glymphatic clearance — the brain’s natural waste‑removal system.

Unlike wearable neuromodulation, ultrasound helmets, or extracorporeal systems, ACCS v4.0 requires no physical contact, no user compliance, and no medical infrastructure.

The system uses contactless sensing (radar, thermal, acoustic) to detect sleep stages and respiration, and delivers low‑intensity, air‑coupled acoustic/ultrasonic pulses, 40 Hz diffuse light, sub‑audible gamma acoustics, and micro‑airflow cues — all synchronized to the user’s natural physiology.

This document provides full engineering specifications, regulatory considerations, consumer …

Solid State Forms Of Nurandociguat, Prashanth Venukathala, Venukathala Prashanth

Defensive Publications Series

The present invention relates to solid-state forms of Nurandociguat, a soluble guanylate cyclase (sGC) stimulator, including novel crystalline polymorphs, amorphous forms, co-crystals, and solid dispersions. The invention further relates to processes for their preparation, pharmaceutical compositions comprising the same, and their therapeutic use.

Becds V2.0 — Bilateral Ear‑Canal Closed‑Loop Dementia Support System, Michael Victor Caldwell Mr.

Defensive Publications Series

This disclosure describes a non‑invasive, ear‑based neuromodulation system for dementia support. It uses bilateral ear‑canal devices to:

• Sense autonomic state (heart rate, HRV surrogate, temperature, motion).

• Capture ambient sound (TV, conversation, music).

• Deliver gentle electrical and acoustic stimulation in a closed loop to support arousal stability, calm, and engagement.

It is intended as a supportive system, not a cure or neuron‑regrowth therapy.

Cognitive Fabric Os (Cfos), Johny Manuel-Devadoss, Jayden Jack Johnson

Defensive Publications Series

Modern infrastructure orchestration is approaching a fundamental architectural limit. Most existing systems—whether container orchestrators, HPC schedulers, cloud control planes, or GPU resource managers—still operate using largely reactive models. They rely on predefined resource declarations, queue-driven scheduling, and short-term optimization logic to manage increasingly complex environments.

That model worked well when infrastructure was relatively predictable. It does not hold up in the era of hyperscale AI training, sovereign compute requirements, globally distributed inference systems, autonomous scientific computing, and energy-constrained data centers. Infrastructure today is no longer static. It is dynamic, geographically fragmented, thermally sensitive, economically constrained, and continuously changing in real …

Adaptive Communication Interface With Vocal Identity Persistence, Purvam Pujari

Defensive Publications Series

The User Experience Challenge: During real-time audio calls, severe background noise or strict social constraints often force the sender to abandon live speech. Currently, users must either endure broken, unintelligible audio or abruptly terminate synchronous calls—destroying conversational flow and stripping away the sender's personal vocal presence from the receiver.

The Technical Solution: This disclosure introduces an on-device AI voice bridge to preserve the sender's uninterrupted vocal presence. The system continuously monitors the call's audio quality at the sender's terminal using multidimensional acoustic measurements. The interface executes a graceful handover to a synthesized stream when environmental noise …

Anti-Theft Protection Enabling Secure Mode On Optical Pluggable Modules, Emanuele Giacometti, Gilberto Loprieno

Defensive Publications Series

Proposed herein is a comprehensive anti-theft mechanism for optical pluggable modules used in network equipment. The solution introduces a "Secure Mode" that binds each optical pluggable module to specific network equipment using cryptographic authentication and encryption techniques. Key exchange methods, secure channel establishment, and authenticated command protocols are used to ensure that stolen modules cannot be reused or resold, unless proper credentials are provided or the module is securely reset by authorized personnel. Several implementation options are presented, addressing a range of hardware capabilities, all aiming to protect customers' hardware investments and network integrity.

Method, System, And Computer Program Product For Difficulty-Driven Temporal Adaptation Of Direct Preference Optimization, Ziwei Wu, Rashidul Islam, Yiwei Cai

Defensive Publications Series

Methods, systems, and computer program products are provided for difficulty-driven, temporal adaption of direct preference optimization of a large language machine learning model. An example method includes receiving pairs of responses associated with text prompts, determining a probability margin score for a pair of responses, computing a measure of semantic similarity associated with the pair of responses, computing a difficulty score for the pair of responses based on the probability margin score, computing a time-dependent temperature parameter for the pair of responses based on a minimum time-dependent temperature parameter, a maximum time-dependent temperature parameter, a time parameter associated with training …

The Cross-Session Learning In Automated Bug Repair Via A Reflective Knowledge Feedback Loop, Huang Xia, Ting Liu, Yulong Zhang, Zhixian Yan, Ke Huang, Paul Zhou, Jialin Yu

Defensive Publications Series

Automated bug repair agents may operate in isolated sessions and can lack a memory of past engagements, which may lead to repeating failed strategies and inefficient workflows. A self-improving framework can use a reflective knowledge feedback loop to address potential inefficiencies. Following a bug-fixing attempt, for example, a reflection phase can analyze the session to extract structured, reusable knowledge, such as dead ends, learnings, and fix patterns. This knowledge may then be categorized and stored in a persistent, indexed repository for retrieval during subsequent tasks. This process can facilitate learning from experience across sessions, which may reduce the repetition of …

Dual-Axis Scoring For Automated Synthesis Of Operational Architectures, Hariprasad Rengarajan, Rahul Jindal

Defensive Publications Series

Some workflow automation systems may evaluate tasks based on a single dimension of logical feasibility, which may not account for human-centric factors and can potentially lead to suboptimal automation strategies. A system may utilize a dual-axis scoring engine to analyze discrete operational tasks along both a cognitive complexity axis and a relational sensitivity axis. Based on a resulting two-dimensional score, each task can be mapped to an execution authority protocol that suggests an appropriate level of automation. An algorithmic synthesis module may then restructure the operational process by applying a library of execution patterns, such as parallelizing independent tasks. This …

Method To Support Distributed And Modular Non-Access Stratum (Nas) Architecture For Improving Network Scalability And Resiliency, Ravi Shekhar, Dishant Parikh

Defensive Publications Series

Techniques are described for a distributed and modular Non-Access Stratum (NAS) architecture in which NAS processing is offloaded from an Access and Mobility Management Function (AMF) to one or more NAS agents. The NAS agents enable direct communication between network functions and user equipment, reducing dependence on the AMF for signaling and scaling. This architecture improves scalability, resiliency, and signaling efficiency, lowers latency, and helps avoid centralized bottlenecks and single points of failure in next-generation networks.

Network Agent Policy Language (Napl), Sebastian Jeuk, Katrin Simon, Jan Haasch

Defensive Publications Series

Proposed herein is a Network Agent Policy Language (NAPL) that provides a declarative policy language and a nine-component enforcement architecture for governing the actions of autonomous artificial intelligence (AI) agents operating on network infrastructure. As AI agents gain the ability to invoke network management Application Programming Interfaces (APIs), configuration tools, and telemetry interfaces in real time, existing policy frameworks designed for human operators or stateless access control cannot express or enforce the governance rules that network operations require. NAPL addresses this issue by introducing network-domain semantics directly into policy authoring, enabling operators to write governance rules using primitives such as …

Solid State Forms Of Simepdekinra, Prashanth Venukathala, Venukathala Prashanth

Defensive Publications Series

The present invention relates to novel solid state forms of Simepdekinra Specifically, the disclosure provides crystalline forms, amorphous forms, co-crystals, and amorphous solid dispersions of Simepdekinra, along with methods for their preparation, characterization, and use in pharmaceutical compositions.

Integrated Methane And Co₂ Emissions Reduction Framework Via Agricultural Transformation, Industrial Methane Valorization, And Profitable Waste-To-Resource Conversion, Amey Krishna Solkar

Defensive Publications Series

This defensive publication describes an integrated framework designed to reduce global anthropogenic methane emissions by over 50% and achieve significant net CO_{2} drawdown. The system shifts climate remediation from reliance on subsidies to self-sustaining, profit-generating operations by embedding commodity production within three core sectors. * **Agricultural Transformation**: Replaces high-methane cattle and paddy farming with integrated aquaculture, agroforestry, and vertical farming. It features a self-regulating nitrogen cycle using co-cultivated *Azolla* and *Lemna* (duckweed) to fix nitrogen and sequester carbon. * **Fossil Fuel Valorization**: Targets oil and gas methane emissions by capturing vented gas for onsite catalytic conversion into high-value commodities, including …

Methanol-Ethanol-Water Blends, Christophe Barro, Christoph J. Engelbrecht

Defensive Publications Series

The disclosure provides a method and fuel injection system for operating large internal combustion engines. It enables fuel flexibility by allowing an engine originally configured for a first main fuel, such as methanol, to operate on a different second main fuel, such as ethanol.

Key aspects of the disclosure include:

• Heating Value Matching: The engine receives a mixture of the second main fuel and an additive, typically water. The system controls the additive quantity to ensure the mixture's heating value remains within ±10% of the first main fuel's heating value.

• Dynamic Control: Because the lower heating value cannot always be …

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Privacy-Preserving Vpn With Zero Knowledge Proofs (Zkps), Niranjan M M, Medini Narasimha Bailkeri

Defensive Publications Series

Traditionally, VPN (both RA-VPN and S2S-VPN) uses username/password (eg., with EAP, RADIUS etc.), certificates, PSK, mac-address, auth-token etc., for authentication and later extended with Multi-Factor Authentication.

In general, to prove (especially as part of authentication), usually user need to reveal some of the information. The sharing of such information can reveal the identity, in-turn reveal the privacy information of the user. Hence we need a method, where-in user can prove that, they know the secret without even transmitting it. Such method should enhance privacy by having no password leaks, no key sharing, resistant to MITM attacks etc.,

Similarly, for the …

Solid State Forms Of Naperiglipron, Prashanth Venukathala, Venukathala Prashanth

Defensive Publications Series

The present invention relates to the field of pharmaceutical chemistry, specifically to novel solid-state forms of Naperiglipron. More particularly, the invention relates to a novel crystalline form, an amorphous form, and novel cocrystal forms (Nicotinamide, Citric Acid, and Succinic Acid) of Naperiglipron, and processes for their preparation showing enhanced solubility and physical stability.

Solid-State Forms Of Muvalaplin, Prashanth Venukathala, Venukathala Prashanth

Defensive Publications Series

The present invention relates to novel solid-state forms of Muvalaplin, including crystalline polymorphs, amorphous forms, and co-crystals, processes for their preparation, and their use in pharmaceutical compositions.

Amorphous Form Of Admilparant, Prashanth Venukathala, Venukathala Prashanth

Defensive Publications Series

The present invention relates to the field of pharmaceutical sciences, particularly to a novel amorphous form of Admilparant, processes for its preparation, and its pharmaceutical compositions with improved solubility and bioavailability.

Non‑Invasive Posterior Acoustic‑Vortex Clamp For Macular Drug Delivery (Poav‑Clamp V1.0), Michael Victor Caldwell Mr.

Defensive Publications Series

The POAV‑Clamp v1.0 is a non‑invasive, temple‑mounted, dual‑band ultrasound platform designed to enhance the penetration of topically applied macular therapeutics into the posterior segment of the eye. The system uses low‑frequency ultrasound to transiently increase posterior scleral permeability, combined with mid‑frequency vortex‑mode acoustic fields to induce vitreous micro‑streaming and directional transport toward the macula. When applied immediately after eye‑drop dosing, the POAV‑Clamp creates a front‑to‑back transport gradient that may significantly increase macular drug levels without injections. This disclosure is released as open, non‑patented, and free for global research, enabling any qualified laboratory or academic group to prototype, test, and validate …

Open Amd Delivery Testbed (O‑Amd‑Dt V1.0), Michael Victor Caldwell Mr.

Defensive Publications Series

O‑AMD‑DT v1.0 is a fully open, modular, benchtop‑only testbed for evaluating drug penetration into posterior ocular analogs under ultrasound stimulation.

The system uses standardized, layered ocular phantom cartridges with microfluidic sampling ports, enabling quantitative measurement of drug transport through cornea, sclera, and choroid/retina analogs.

The platform integrates capabilities from UAAP v1.0, GCI‑267, GCI‑v3.1, VMR v2.5‑T “Titan”, and VABR‑v2.0, providing acoustic control, microfluidic sampling, and nano‑/micro‑carrier preparation.

This disclosure includes complete mechanical blueprints, phantom construction methods, ultrasound coupling geometry, microfluidic architecture, assembly instructions, and test protocols, enabling any laboratory to fabricate and use the system.

Non‑Invasive Ultrasound‑Enhanced Macular Drug Delivery Platform (Onrs‑Amd V1.0), Michael Victor Caldwell Mr.

Defensive Publications Series

ONRS‑AMD v1.0 is a fully open, build‑ready, non‑invasive macular drug‑delivery platform using low‑intensity focused ultrasound, acoustic vortex field shaping, and a periocular drug/gel reservoir to drive therapeutic molecules across the cornea, sclera, and choroid toward the macula.

The system uses a 12‑element ultrasound ring with independent phase control, programmable delivery modes, and integrated safety logic.

This disclosure provides complete mechanical blueprints, electronics, firmware logic, assembly steps, phantom testbeds, validation protocols, and safety requirements, enabling any research group to fabricate and test the system without licensing barriers.

Multi-Layer Agentic Manifold For Autonomous Recursive Economic Threat Modeling And Dynamic Baseline Normalization, N/A, N/A

Defensive Publications Series

Cybersecurity risk analysis often faces challenges integrating diverse financial and engineering data to quantify economic threat and may rely on probabilistic models. Additionally, static risk baselines may not adapt to evolving system environments and threat landscapes, resulting in outdated assessments. A multi-layered autonomous agentic system, the cyber threat and risk quantification agentic manifold (CRAM), is presented to address these challenges. The system autonomously ingests and correlates heterogeneous financial and engineering data to generate a revenue at risk (RAR) model that performs deterministic computations without relying on probabilistic inputs. For dynamic baseline normalization, a drift normalization agent continuously recalibrates risk baselines …

Dynamic Gateway Assignment For A Programmable Core In Any-G Networks, Anthony Maswan Fajri, Anders Askerup

Defensive Publications Series

Described herein is a Session Management Function Management Function (SMF-MF) that can provide a unified, intelligent system for optimizing performance across Any-G networks. By leveraging subscriber-level data and real-time network analytics, the SMF-MF can enable AI-driven load balancing and seamless session management while significantly reducing signaling overhead. The disclosed architecture may provide a centralized and future-ready approach to gateway selection that bridges operational differences between Long-Term Evolution (LTE) and Fifth Generation (5G) environments.