Digital Commons Network^™

Decoupled Pricing And Fulfillment Arbitrator For Multi-Destination Agentic Commerce Systems, Richa Gupta

Defensive Publications Series

A decoupled pricing and fulfillment arbitrator extends the Universal Commerce Protocol (UCP) to maintain volume-based discounts for e-commerce orders shipped to multiple destinations. The system operates through a two-phase cryptographic handshake, where the arbitrator first validates the total item quantity in a cart to secure a global price lock from a merchant’s application programming interface (API). The arbitrator then atomizes the single order into multiple, concurrent fulfillment requests, one for each distinct shipping address. By embedding a cryptographic bulk token into each parallel request, the arbitrator instructs the merchant’s system to bypass standard single-destination validation rules and apply the pre-approved …

Cpeven‑Ω2.0 Caldwell Planetary Environmental Verification & Early‑Warning Network, Michael Victor Caldwell Mr.

Defensive Publications Series

CPEVEN‑Ω2.0 is a fully open, modular, multi‑physics environmental measurement and verification architecture designed for global deployment. It integrates reference‑grade sensors, distributed open nodes, multi‑physics correlation, artifact detection, uncertainty‑aware fusion, satellite/model comparison, source attribution, and experimental technology validation into one unified system.

CPEVEN‑Ω2.0 is not a sensor.

It is not a weather station.

It is not a model.

It is not a prediction engine.

It is a planetary environmental verification network that preserves raw measurements, validates experimental technologies, correlates multi‑domain signals, and produces reproducible environmental intelligence.

Every module is open hardware.

Every interface is documented.

Every measurement is traceable.

Every experimental …

Selective Bookmarking And Curated Export Of Conversational Ai Message Turns To External Documents And Notebooks, Richa Gupta

Defensive Publications Series

In multi-turn conversations with conversational artificial intelligence, details established in earlier turns are prioritized less than more recent turns as a session grows longer, and locating or reusing valuable content from within a long conversation typically requires scanning the full transcript or manually copying individual passages. This disclosure describes a message-anchoring and bookmarking approach in which each conversational turn is assigned a persistent identifier. A cited identifier is used to isolate and prioritize the corresponding turn, while unrelated conversational content is masked from further processing. Selected turns are additionally flagged through a bookmarking control, and the flagged turns are compiled, …

Dynamic Ir-Drop Prediction For Analog-Mixed-Signal Blocks Using A Two-Stage Graph Network Architecture, Prateek Pendyala

Defensive Publications Series

Dynamic IR-drop verification, the analysis of transient supply voltage sag caused by currents in resistive supply metal, can become a simulation bottleneck for analog-mixed-signal (AMS) blocks.  Layout-dependent current profiles may demand long transient simulation runs, and a custom analog power delivery network (PDN) lacks the structured grid routing found in digital designs.  A prediction method addresses these limitations in two stages.  A first stage applies graph attention layers to a circuit graph once per circuit and caches the resulting static embedding.  From the cached static embedding, a recurrent waveform predictor forecasts transient supply currents without graph operations in a time-stepping …

Remote Control Using Render Buffer Accessibility Extraction, Inductively Powered Electrophoretic Keycaps, And An Ultra-Wideband Pointing Latch, Stenal P. Jolly

Defensive Publications Series

Streaming applications on a smart television often render an interface into a single hardware-accelerated graphics surface.  A native accessibility engine may treat that surface as one opaque node, and printed remote keycaps do not follow the content on screen.  A remote control system addresses these limitations by extracting geometry and text directly from a graphics processing unit (GPU) render buffer of a host computing device.  The system rebuilds a virtual accessibility tree once per render frame.  Compact per-key updates travel over a low-energy wireless link to electrophoretic keycap displays, and inductive power regulation holds each keycap display at a steady …

Routability-Aware Decoupling Capacitor Insertion Using Trial-Route Lookups And Linear Programming, Prateek Pendyala

Defensive Publications Series

Dynamic IR drop, a transient loss of supply voltage proportional to current (I) and resistance (R), can erode timing margins on advanced process nodes.  Decoupling capacitors (decaps) inserted near cells with high switching activity can suppress the drop.  The regions that need decaps, however, tend toward heavy routing congestion, so a newly placed decap can trigger detailed routing design rule violations (DRVs).  An example routability-aware method selects decap locations and bounded cell moves through a linear program built from measured routing data.  The method models cell currents as rectangular envelopes over binned time, computes a missing charge from a charge …

A Load-Bearing, Fluid-Mediated Robotic Joint Architecture Combining Variable-Geometry Friction Interlocks With Passive Multi-Stage Granular Jamming Inside A Tensegrity Compression Frame, Volodymyr Kotegov

Defensive Publications Series

This paper describes the QUINTO-CMC modular articulation architecture, built to hold high structural loads in contaminated or corrosive operating environments while cutting static holding power to a minimal telemetry-only draw. The system replaces high-maintenance, actively powered joints with an unpowered, field-replaceable cartridge that locks mechanically under zero electrical load. The physical joint module weighs no more than 1.75 kg. Static holding draw is limited to 18–25 W for telemetry and monitoring alone — the mechanical lock itself needs no electrical power. Three kinematically uncoupled passive locking layers trigger in sequence during pressure drops or sudden fluid loss. The primary retention …

Two‑Phase Trust‑Region Constraint Programming With Dynamic Bounds Scaling For Macro Legalization And Alignment, Vijayavelu S, Amit Saluja, Surya Barik, Arijit Hazra

Defensive Publications Series

Legalizing a mixed‑size layout that holds large hard macro blocks together with millions of standard cells becomes difficult at advanced technology nodes, where mismatched technology grids and zero‑slack boundaries leave narrow room for movement.  Prior approaches bound macro movement with one static displacement limit, so a tight limit can leave macros out of alignment and a loose limit can deadlock a discrete engine.  Disclosed is a two‑phase method that separates legalization from alignment.  A first phase carries hard feasibility rules without an alignment objective and returns a legal coordinate set.  A bounds scaling module then sizes a search window for …

Contention-Based Write Pulse Modulation On A Replica Timing Path For Process-Tolerant Sram Write Operations, Abhishek Dalal, Ayush Kulshrestha, Ajith K. P, Guru Shamanna, Akash Jha

Defensive Publications Series

Write margins in a static random-access memory (SRAM) array shift with semiconductor process variation, and the shift grows severe at the slow-NMOS/fast-PMOS (SF) corner, where a strong pull-up network inside a storage cell resists an overwrite.  A raised supply voltage widens that mismatch gap further.  A write pulse modulation method addresses the problem by coupling a contention circuit to the dummy bitline of a replica timing path.  The contention circuit holds an active pull-up against a dummy pull-down network, so the discharge rate of the dummy bitline follows the local ratio of PMOS drive to NMOS drive.  Reset logic ends …

Explainable Ai-Governed Namespace Capability Risk Brokerage With Kernel-Enforced Operation Leases, Bharat Kumar Putta

Defensive Publications Series

A security architecture is proposed herein for controlling privileged actions by artificial intelligence (AI) agents and automated workloads across operating-system, container, cluster, and tenant namespaces. The architecture evaluates cumulative capability risk and issues narrowly scoped, short-lived operation leases. Each lease is cryptographically bound to the requesting workload, target object, operation arguments, namespace context, policy version, and a human-auditable explanation, and is verified by the operating-system kernel at the moment of execution. By replacing broad standing privileges and application-layer allow decisions with explainable, context-sensitive least privilege, the architecture reduces the time-of-check-to-time-of-use gap, supports immediate invalidation when relevant context changes, and creates …

Method And System For Consumer-Specific Attribute Filtering In Distributed Message Brokers, Soumendra Kumar Mishra, Mansi Singh, Ravi Shanker Kumar Sinha, Amitabh Ranjan, Katyayani Kiranmayee Kolluru, Sumit Kumar

Defensive Publications Series

A system for consumer-specific attribute filtering in a distributed message broker environment is provided. The system includes an attribute subscription registry configured to store a consumer identifier, a topic identifier, and a list of permitted attribute paths for each consumer. The system includes a producer interface configured to publish a canonical message payload containing a plurality of attributes to a message broker, compute an Attribute Location Index during serialization that maps each attribute name to byte offset boundaries within a serialized message body, and attach the Attribute Location Index as a message header. The system includes the message broker configured …

Rule Based Pre-Execution Validation Of Financial Transactions With Generative Anomaly Explanations, Shalini Jha, Farhan Rawani, Bhaskar Mangalampalli, Alba Campus, Sanhitha Seerapu, Millie Martin, Arib Shan, Tilottama Basu, Amogh Badugu, Sai Krishna, Ramya Karyampudi

Defensive Publications Series

Financial transaction processing systems, for example in payroll, can face challenges where validation is reactive, leading to the late discovery of complex discrepancies after payments are executed. A system and method are described for pre-execution validation of financial transactions. The system can function as a validation layer that applies business rules to batches of transaction data using techniques such as set-based processing. This approach can identify potential anomalies across large datasets before execution. For detected anomalies, a generative model can produce a human-readable explanation detailing a potential rule violation and the associated data. This pre-execution identification and contextualization of potential …

Continuous Dimension Extraction For Semantic Product Organization, Nathan Grabaskas

Defensive Publications Series

Systems for organizing products on digital commerce platforms can be limited by rigid taxonomies that may not capture nuanced attributes, and some high-dimensional vector representations can lack interpretability. A computational framework can transform product information into a semantically organized and navigable space. The framework can encode products into high-dimensional vectors and then employ two parallel processes. One path may use clustering algorithms and generative language models to group products into labeled sub-archetypes. A second path may use non-linear dimensionality reduction followed by an iterative principal component analysis to extract and label continuous trade-off axes from the data. The resulting clusters …

Steering Generative Ai Responses By Predicting User Intentions Using Slms And Behavioral Telemetry, Rachit Mathur, Payal Shah

Defensive Publications Series

Current conversational AI systems rely on monotonic streaming, requiring users to wait for complete responses before correcting misinterpretations. This disclosure describes a bifurcated dual-dispatch architecture that steers generative AI outputs mid-stream. By pairing a localized Small Language Model (SLM) shadow parser with a high-capacity frontier LLM, the system dynamically analyzes real-time client-side behavioral telemetry - including keystroke dwell times, backspace mutation ratios, and paste metadata to predict user intent and cognitive friction. When volatile semantic nodes or potential intent mismatches are detected, the SLM executes pre-emptive mitigations by tuning inference hyperparameters (such as temperature) or surfacing non-blocking, inline "intent chips" …

Spectrum, Volume 57, Issue 1, Sacred Heart University

Newspapers (Obelisk & Spectrum)

Highlights include: Doctor of Medical Science Program Founded by SHU Alum -- SHU Dining is on Fire–Literally -- Spectrum Receives National Recognition -- FIJI Finds a Home at Sacred Heart -- Script to Stage: TheatreFest 2026 -- New Conference, New Competition

Fall 2026 Environmental Sciences Seminar Series, Jingyan Huang, Jingyan Huang

NRESS Seminars

This seminar presents a game-based social simulation of emergency response to water contamination, in which large language model (LLM) agents represent stakeholders with diverse roles, information, incentives, and constraints.

Through unfolding crisis scenario, the simulation explores how communication, coordination, and decision making shape collective outcomes under uncertainty. In this seminar, I will discuss the game’s design, the use of LLMs to model social interaction, and opportunities and limitations for research, training, and practical policy experimentation.

Harvest And Retting Method Alter The Composition Of Hemp Fiber For High Performance Concrete, Abigail Lazier, Jennifer Macadam, Srishti Banerji, Bruce Bugbee

Plants, Soils and Climate Student Research

Recently, the use of natural fibers in place of polymer fibers in high performance concrete has been explored for improved mechanical properties (including reduced spalling) and greater sustainability. This project aims to recycle biomass waste produced by the medical cannabis industry by using it in concrete. We have designed and conducted multiple studies to determine efficient methods for fiber harvest and processing from our in-house medical cannabis waste. Harvest method, (including fresh harvest and defoliation or physically induced senescence), storage condition, ( 4 C or 25 C), and processing technique, (mechanical or biological) were trialed. Additionally, we used standard forage …

Non-Gradient Quaternion Training Matrix Modifications For Color-Image Distillation, Tahsin Shahnewaz, Megdam Ahmed Chowdhury, Nikolay Metodiev Sirakov

Student Publications

This paper develops a new multi-stage image distillation method that combines two well known techniques. In the first stage, our method creates a matrix from all training images. In the next stage, it adapts a modified principal component analysis (M-PCA) approach to transform the training matrix. In the third stage, Singular Value Decomposition (SVD) fur ther refines the training-image matrix through low-rank reconstruction and controlled row selection. In the fourth stage, rotation of small 2 ×2 matrix blocks on the entire left singular matrix is conducted. The upper m (user-selected number) rows of the reconstructed matrix are selected and transformed …

Lsab Minutes September 2026, Shawna Battle, Maryke H. Barber

WRL Newsletters

No abstract provided.

Artificial Intelligence Use Disclosure Student Rubric, Maxwell Gray, Nicole Bungert

Library Tools and Learning Resources

No abstract provided.

Artificial Intelligence Use Disclosure Student Log, Maxwell Gray, Nicole Bungert

Library Tools and Learning Resources

No abstract provided.

Artificial Intelligence Use Guidelines, Maxwell Gray, Nicole Bungert

Library Tools and Learning Resources

No abstract provided.

Cv: Martha Wilkins (Elementary Education), Martha Wilkins

Education Department Faculty Curricula Vitae

No abstract provided.

Lindenwood Digest, September 16, 2026, Lindenwood University

Lindenwood Digest

• Event & Date: The Lindenwood University Employee Digest was published on September 16, 2026, announcing the President's Town Hall on September 16, 2026, and the Fall Business Ethics Panel on October 1, 2026.

• Geographic Grounding: Documented events take place at Scheidegger Theater and Dunseth Auditorium in Harmon Hall, Lindenwood University, St. Charles, Missouri.

• Key Honorees/Awards: Director of Operations and Engineering of Mane Media Productions Brandon McKinney received Q2 recognition for broadcast engineering support; Senior Professor of Psychology Dr. Rebecca Foushee received Q2 recognition for providing independent research materials to biology students; Associate Professor of Art and Design Joe Weber received …

Una Magazine, Office Of Alumni Relations- University Of North Alabama

Documents

"50 Golden Years"-UNA Magazine, Spring 1999

Welcome To Our Charity Bazaar, Leslee Thorne-Murphy, Maggie Kopp

Faculty Publications

Catalog for the 2017-2018 exhibit at L. Tom Perry Special Collections, BYU Library. Charity bazaars were a product of a massive nineteenth-century philanthropic undertaking in the United Kingdom, as private citizens attempted to respond to the social ills created by a rapidly industrializing economy. Bazaars combined the entertainment value of a social gathering and the fun of a town fair, with the moral earnestness of philanthropic work. Typically organized by women, these bazaars offered handmade goods for sale, raising funds for numerous local and national charitable causes. The exhibit showcases the history and print culture of the charity bazaar, from …

Research And Innovation Update, September 17, 2026, Office Of The Vice President For Research And Innovation

Office of Research, Economic Engagement and Outreach

No abstract provided.

Testarticlesep16tu1, Abdul Rizwan

Research Outputs: 2025-Present

No abstract provided.

The Current - Volume 37 Issue 02, Nova Southeastern University

Student Newspapers

No abstract provided.

Newsletter, September 2026, Cedar Oaks Guild

Cedar Oaks Guild Newsletter

No abstract provided.