Digital Commons Network^™

Operational Evaluation Platform And Automated Maturity Scoring System For Partner Ecosystems, Harmony Murphy

Defensive Publications Series

An operational evaluation platform and automated scoring system provide centralized tracking, real-time value calibration, and multi-tier growth scaling across third-party partner ecosystems. The platform ingests manual user inputs and programmatic data streams into a unified workspace, eliminating data duplication while calculating weighted capability scores. Dual scorecard configurations enable internal account benchmarking and external partner enablement. An integrated maturity framework evaluates partner capabilities across four technical pillars—measurement and insight, media and personalization, creative and content, and operational data integration—classifying partners into distinct developmental stages to trigger automated, real-time recommendation updates. Keywords: operational evaluation platform, partner maturity framework, real-time calibration, automated intelligence, …

Telemetry- And Intent-Encoded Routed Expert Fabric, Dennis Lanov, Charles Fleming

Defensive Publications Series

A system is proposed herein for distributing artificial intelligence (AI) inference across endpoint, edge, and cloud tiers. The system routes each semantic portion of a request only to an execution tier permitted by enterprise policy. A local model processes the request first, and intent, local-model confidence, and live network and compute telemetry determine whether selected portions remain local or are promoted with compressed intermediate state. Promoted results are verified before acceptance, and observed outcomes are used to improve future routing and expert placement.

Multi-Tenant Traffic Disambiguation With Tenant-Indexed Ipv6 Addresses, Rashmi Garg, Jerome Tollet, Benoit Ganne, Anil Kumar Kainikara, Arthur De Kerhor

Defensive Publications Series

Proposed herein is a stateless mechanism for disambiguating overlapping private Internet Protocol version 4 (IPv4) traffic from multiple tenants by synthesizing Internet Protocol version 6 (IPv6) addresses that encode both tenant or virtual routing and forwarding (VRF) identity and the original IPv4 source address. Shared downstream gateways, including virtual private network (VPN), zero trust network access (ZTNA), Internet Protocol Security (IPsec), and cloud gateways, can receive native IPv6 traffic with globally unique source addresses without modification to understand tenants, VRFs, or overlay networks. Because the mapping is algorithmically reversible from the IPv6 address itself, return traffic can be translated back …

“System And Method For Privacy-Preserving Federated Fraud Embedding Centroid Aggregation Across Visa Network Members Without Raw Transaction Data Sharing”, Durga S Kala, Jun Xu, Tanner Kumar Barcelos, Ankana Sonowal, Yidong Fu

Defensive Publications Series

Computer-implemented fraud intelligence sharing systems and methods for detecting fraudulent transactions across a network while preserving member privacy are disclosed. Each network member generates transaction embeddings from confirmed fraudulent transactions, clusters the embeddings, and computes local cluster centroids representing fraud patterns. Differential privacy noise is applied locally to the centroid vectors, including dimension-wise noise and noise scaling based on cluster size, such that smaller clusters receive greater obfuscation. Only the privacy-protected centroid vectors are transmitted to a central aggregator, which computes aggregated network centroids using weighted contributions based on factors such as cluster size and confidence. The aggregated centroids are …

Buffering And Splicing Audio For Transcription, David Kogan

Defensive Publications Series

This disclosure describes techniques for improving speech-to-text transcription and speaker labeling (also known as diarization or voice recognition) when an audio recording exceeds a transcription model's processing limit or context window. A computing system may buffer received audio into segments, using a target duration or a conversation-termination signal to determine segment length, and select segment boundaries at pauses in speech when a conversation spans multiple segments. To establish continuity across segments, the computing system may prepend a portion of a preceding segment to a subsequent segment, causing the transcription model to independently transcribe the portion of overlapping audio. The computing …

Detecting Transcription Errors Using Parallel Model Outputs, David Kogan, Lawrence Au, Libin Sun

Defensive Publications Series

This disclosure describes techniques for detecting and mitigating large mistakes, often called block errors, in automated speech-to-text (STT) or voice recognition machine-generated transcriptions. A computing system may transcribe audio (such as creating closed captions or meeting notes) using a primary artificial intelligence (AI) transcription model and, in parallel, a secondary transcription model. In one implementation, the secondary transcription model is a computationally less expensive model that may provide a “checksum” or verification signal for the primary transcription model. The computing system may tokenize and align the resulting transcriptions side-by-side to identify regions containing unusually large insertions or deletions. Such regions …

Agentic Games Testing And Exploration, Grant Chieh-Hsiang Yang, Raymond Leo Buse, Danie Jalova, Xun Gong, Michael Sheely, Faith Chan, John Kim, Vaibhav Rastogi

Defensive Publications Series

Creating a game application has become faster and easier with the advancements of artificial intelligence; however, game testing and quality assurance have advanced at a much slower pace. This publication describes techniques to combat the widening gap between game creation and quality assurance by utilizing an agentic framework for automated game QA and autonomous game testing to assure the quality of game applications in a scalable, efficient, and cost-effective format. Described techniques may enable the reconstruction of a pseudo view-hierarchy (or DOM reconstruction) from game graphical user interface images using UI crawling and computer vision testing, identify and utilize specified …

Solid Dispersion Of 4-[(2r,3s,4s,5r)-3-(3,4-Difluoro-2-Methoxyphenyl) -4,5-Dimethyl-5-(Trifluoromethyl)Oxolane-2-Amido]Pyridine-2-Carboxamide, Msn Laboratories Private Limited, R&D Center, Srinivasan Thirumalai Rajan; Sagyam Rajeshwar Reddy; Rajashekar Kommera; Venkata Subbaiah Batchanaboina; Savarala Triveni

Defensive Publications Series

The present invention relates to a solid dispersion of 4-[(2R,3S,4S,5R)-3-(3,4-difluoro-2-methoxyphenyl)-4,5-dimethyl-5-(trifluoromethyl)oxolane-2-amido]pyridine-2-carboxamide

Anonymous Purchase Commitment With Optional Public Account Binding: Verifiable First-Hand Purchase Claims On A Public Ledger, Takuya Ogura

Defensive Publications Series

A method for letting readers, and AI agents acting for readers, distinguish real first-hand purchase accounts from fabricated ones without revealing buyer identity. Each paid purchase is recorded on a blockchain as a commitment computed as plain SHA-256(nonce || buyerId), so the buyer can open and verify their own record with a single hash on any machine, without the chain's SDK or the seller's cooperation; the identity was measured on chain to match an externally computed digest byte for byte. Separately, a buyer who chooses to speak publicly can attach a plaintext account handle to one purchase as a second, …

A Graph-Based Infrastructure Change Modeling System With Dependency-Aware Risk Propagation For Pre-Deployment Failure Prediction, Utkarsh Bhardwaj, Shivank Awasthi

Defensive Publications Series

Modern Continuous Integration and Continuous Deployment (CI/CD) systems rely predominantly on static analysis and deterministic rules, rendering them incapable of forecasting emergent risks arising from complex infrastructure interactions. This reactive approach frequently fails to prevent production incidents caused by non-obvious dependencies between code, configuration, and infrastructure. This paper proposes a novel Artificial Intelligence for IT Operations (AIOps) system that models cloud infrastructure as a topological dependency graph. We introduce the concept of a "Delta Graph" ($\Delta G$), which explicitly represents the structural and attribute changes between a currently deployed state ($t_0$) and a proposed state ($t_1$). By utilizing a Graph …

An Improved Process For The Preparation Of An Orexin Receptor Antagonist, Lee Pharma Limited

Defensive Publications Series

The present disclosure relates to (S)-(2-(5-chloro-4-methyl-1H-benzo[d]imidazol-2-yl)-2-methylpyrrolidin-1-yl) (5-methoxy-2-(2H-1,2,3-triazol-2-yl) phenyl) methanone hydrochloride, is represented by following structural formula (1).

The present disclosure relates to a process for the preparation of an intermediate of compound of formula (1), the intermediate is represented by following structural formula (2).

The present disclosure relates to a process for the preparation of an intermediate of compound of formula (1), the intermediate is represented by following structural formula (5).

The present disclosure relates to a process for the preparation of an intermediate of compound of formula (1), the intermediate is represented by following structural formula (6).

A Scientometric And Comparative Study Of Igg4-Related Disease Research By Rheumatologists And Stomatologists, Kailiu Wu

Articles in Press

No abstract provided.

Co-Infection With Herpes Simplex Virus Type 1 And Aggregatibacter Actinomycetemcomitans Disrupts Oral Epithelial Barrier Integrity And Enhances Viral Amplification Via P38 Mitogen-Activated Protein Kinase Activation - An In Vitro Study, Shan-Ling Hung

Articles in Press

No abstract provided.

Ephemeral Secrets Runtime For Kubernetes Workloads, Ananya Verma, Raouf Khan

Defensive Publications Series

Ephemeral Secrets Runtime For Kubernetes Workloads

ABSTRACT

The present disclosure relates to a system for ephemeral secrets runtime in Kubernetes workloads which includes an ephemeral secrets runtime system configured to receive a request from a Kubernetes workload for accessing a protected downstream resource, collect Kubernetes-workload identity attributes and runtime trust signals associated with the Kubernetes workload, generate a unified trust context by aggregating the collected identity attributes and runtime trust signals, evaluate the unified trust context against authorization policies to determine credential issuance parameters, generate a short-lived credential based on the credential issuance parameters, cryptographically bind the short-lived credential to …

A Multi-Stage Low-Voltage Electromagnetic Compatibility (Emc) Filter Topology For Powertrain Inverters

Defensive Publications Series

A multi-stage low-voltage (LV) electromagnetic compatibility (EMC) filter topology independently suppresses common-mode (CM) and differential-mode (DM) high-frequency noise in automotive e-powertrain inverters. The circuit implements structural staging combined with damping resistors to enable frequency-specific noise attenuation. By partitioning the filter into three distinct DM stages and two distinct CM stages, the architecture allows precise, independent tuning across low, middle, and high-frequency spectrums without causing negative resonance or affecting adjacent bands.

Method And System For Subscription-Based Tokenization With Dynamic Payment Instrument Switching, Alok Roy

Defensive Publications Series

The present disclosure provides a payment network system configured to generate a subscription token representing a subscription-level payment identity for a recurring payment relationship between a customer and a merchant. A mapping engine stores a mapping that associates the subscription token with a merchant identifier, a customer mobile identifier, and a payment card credential. The subscription token is returned to the merchant system and stored as a recurring payment identifier. During a recurring payment transaction, a transaction resolution engine receives a transaction request including the subscription token and resolves the subscription token to an active payment card credential based on …

Advanced Control Method For Magnetic Bearings In High-Speed Shaft Systems

Defensive Publications Series

Active magnetic bearing (AMB) systems applied in high-speed turbomachinery and compressors are subject to severe internal and external dynamic forces that induce structural resonances and vibrations. Standard state-feedback approaches rely heavily on high plant model fidelity and require extensive calibration time, while remaining vulnerable to model-mismatch state disturbances caused by in-controller parameter uncertainties. This proposed solution discloses an advanced control method that integrates an Input Disturbance Observer (IDO) methodology with an Iterated Linear-Quadratic (ILQ) state-feedback controller. The framework dynamically estimates and counteracts external loads and model-mismatch discrepancies directly within the magnetic bearing force domain. This design eliminates the need for …

Profile Detection For Seat Adjustment, Anonymous

Defensive Publications Series

This invention fixes a memory seat issue that occurs when a key fob (or Phone As Key) is shared among users. Normally, the seat auto-adjusts to a saved position linked to the key fob, but if a different-sized person uses it, the seat still moves incorrectly, causing discomfort. The invention detects this occupant mismatch by using the driver facing camera and prevents unwanted repositioning.

The Future Of Transit, Adam Cohen

Mineta Transportation Institute

Public transit agencies are adapting to a post-pandemic operating environment characterized by hybrid work, more dispersed travel demand, workforce constraints, and persistent fiscal pressures. This perspective paper examines how transit agencies, such as the Santa Clara Valley Transportation Authority (VTA), can strengthen ridership while improving the financial sustainability and long-term resilience of its transit system. The analysis synthesizes peer-reviewed research, government and industry reports, publicly available data, transit agency case studies, and expert interviews with thought leaders. The findings indicate that reliability, travel time, frequency, and customer experience remain fundamental drivers of transit use, but that traditional peak-oriented service planning …

What If God Is Safer Than You Think?, Anna Bennett

The Main Thing Devotional

“O Lord, You have searched me and known me… You go before me and follow me. You place Your hand of blessing on my head,” Psalm 139:1,5, NLT.

Emergency Departments And The Return Of Vaccine-Preventable Diseases: Closing The Preparedness Gap, Eve A. Spear, Steven J. Spear

URGENT Matters

No abstract provided.

Mmu: 09/21/26-09/27/26, Student Bar Association

Monday Morning Update

This Week @ NDLS

Mass Times

Commons Daily Menu

Saint of the Week

General Announcements

Changes In Physical Activity And Sleep In Relation To Reductions In Body Weight And Cholesterol Levels Among Adults With Ptsd, Jeffery Kibler, Karla Patricia Molina Valenzuela, Shalynn Murphy, Claudia Ocholski, Valeria Rangel Cunha, Dania Dabbagh, Blaise Desautels, Alexis B. Tola, Mindy Ma

Faculty Articles

There is evidence of strong relationships between posttraumatic stress and cardiovascular disease (CVD) risk. Interventions focused on healthy behaviors may promote CVD risk-reduction in posttraumatic stress disorder (PTSD). The present study includes analysis of the associations among key outcomes from an intervention study of a cognitive behavioral healthy lifestyle intervention in PTSD, treated as an adjunct to standard trauma therapy. Specifically, we examined whether changes in physical activity and sleep efficiency were associated with changes in body weight and cholesterol. The health behavior intervention is conducted in 12 weekly sessions and includes four overlapping modules (physical activity, nutrition, sleep, and …

Participant Recruitment And Retention In Studies Investigating Pregnancy-Related Pelvic Girdle Pain: A Methodological Systematic Review, Jasmine Darley, Bradley Halliday, Jill Shawe, Joanne Hosking, Zoe Hoare, Jennifer Freeman

School of Nursing and Midwifery

BackgroundRecruiting and retaining participants for clinical trials is a common and well-documented challenge, with particular complexity in perinatal populations which are historically underrepresented in health research. Recruitment and retention are known to be shaped by context-specific factors, yet no systematic review has examined these processes within the clinical domain of pregnancy-related pelvic girdle pain (PPGP), a common and potentially debilitating condition affecting around one in five women in the UK.ObjectiveThis methodological systematic review aimed to summarise participant recruitment and retention in clinical trials investigating PPGP across four objectives: (1) to identify methods of recruitment and retention; (2) to assess the …

Ndls Communicator: Week Of 09.21.26, Notre Dame Law School

NDLS Communicator

The Latest News

• Indiana Court of Appeals Affirms New Trial for Notre Dame Exoneration Justice Clinic Client Jason Hubbell
• Notre Dame Law School’s Religious Liberty Clinic, Bellwether International, and Lantos Foundation publish report reviewing campaign that contributed to release of prisoner of conscience

Student News

• 3L Dan Mohr
• J.S.D. candidate Pavithra Rajendran

Faculty Briefs

• Derek Muller
• Nicole Stelle Garnett and John A. Meiser
• Jeffrey Pojanowski
• Roger Alford
• Mary Ellen O'Connell
• Rick Garnett
• Andrew Torrance
• Dennis Wieboldt

Events

• Law & Economics Workshop: Stephan Wernicke, Humboldt University of Berlin Delaware in the European Union? EU Inc. – A New European Corporate Legal …

Showcasing Student Scholarship: Digitalcommons@Uri And Pressbooks, Julia Lovett

Faculty Learning Day 2026

Would your students like to publish their scholarship beyond the classroom? In this session, participants will learn how to utilize DigitalCommons@URI, our institutional repository, for sharing and preserving student research projects. We will also look at Pressbooks, a tool for both creating new content and discovering existing open educational resources. Finally, we will touch on how faculty can utilize these tools for faculty scholarship.

Spectator 2026-09-19, Editors Of The Spectator

The Spectator

No abstract provided.

Nightside Electron Precipitation Patterns As Observed By Elfin And Cirbe Cubesats, Kun Zhang, Anton V. Artemyev, Xinlin Li, Xiao-Jia Zhang, Vassilis Angelopoulos, Yang Mei, Zheng Xiang, Niklas Grimmich

Publications

The rapidly expanding fleet of low-altitude CubeSats equipped with energetic particle detectors brings new opportunities for monitoring the dynamics of the radiation belt and near-Earth plasma sheet. Despite their small sizes, CubeSats can carry state-of-the-art instruments that provide electron flux measurements with finer energy resolution and broader energy coverage, compared to conventional missions such as POES satellites. The recently launched CIRBE CubeSat measures 250–6,000 keV electrons with extremely high energy resolution, however, CIRBE typically only measures locally-trapped electrons and cannot directly measure the precipitating electrons. This work aims to develop a technique for identifying indications of nightside precipitation using the …

Rhythm-Predictive Power Management For Ai Fabric Network Elements, Fernando Calabria, Juan Alcaide, Nebojsa Kosanovic

Defensive Publications Series

A system is proposed herein for rhythm-predictive power management in artificial intelligence (AI) fabric network elements. The system learns the periodicity of AI training workloads from port counters local to a network device, predicts idle and busy windows, and schedules per-port power transitions so a port can enter a reduced-power state during a predicted idle interval and return to full capability before the next burst arrives. The mechanism requires no job, collective, scheduler, or external-controller knowledge. Confidence gating limits predictive action to ports with established periodicity and returns a port to reactive or always-on behavior when prediction confidence falls. By …

Multi-Source Artifact Enrichment And Validation For Automated Defect-Signature Detection, Ramesh Babu Radhakrishnan, Amrit Tickoo, Praveen Kumar Tarikere Nagaraj, Mohan Sai Vara Prasad Pedavala, Venkat Krishnamurthy

Defensive Publications Series

A system is proposed herein for converting an unstructured software defect record into a standalone executable detection program that can determine, through read-only operation, whether a live deployment is exposed to the defect. The system performs a staged transformation that derives root-cause and exposure criteria, assesses the availability of required telemetry, enriches missing artifacts from trusted sources, generates detection logic under schema constraints, and validates and repairs the resulting program. A large language model (LLM) assists selected stages, while source grounding, reusable helper routines, multi-stage review, and bounded execution costs produce a reliable operational result. The program can then execute …