Digital Commons Network^™

Autonomous In-Loop Sealing Of Microdefects In Cryogenic Systems Of Particle Accelerators, Fusion Reactors And Space Technology Using Circulating Nanocapsulated Agents, Volodymyr Kotegov

Defensive Publications Series

Operation of large-scale cryogenic installations—particle accelerators, fusion reactors, space propulsion stages and quantum systems—demands continuous maintenance of leak-tightness in coolant and liquefied-gas circulation loops. Conventional methods for locating and repairing microleaks through intergranular pores of structural materials and microcracks in welded joints require complete shutdown of equipment, prolonged thermal recovery of isolated sectors and external mechanical intervention.

This publication presents a method of autonomous in-loop sealing in which the working cryogenic fluid itself serves as the carrier medium for functional nanocapsules. The method relies on thermodynamic, barometric, mechanical and electro-inductive triggers. When the nanostructured suspension passes through a microdefect into …

Novel Process For The Preparation Of Lazertinib Mesylate, Msn Laboratories Private Limited, R&D Center, Hyderabad, India, Srinivasan Thirumalai Rajan, Sagyam Rajeshwar Reddy, Mohammad Rafee Shaik, Buvanagiri Ajay Kumar

Defensive Publications Series

Novel Process for the preparation of Lazertinib Mesylate The present invention relates to a novel process for the preparation of N-[5-[[4-[4-[(dimethylamino) methyl]-3-phenylpyrazol-1-yl]pyrimidin-2-yl]amino]-4-methoxy-2- morpholin-4-yl phenyl]acrylamide or a salt thereof, which is referred to as Lazertinib, represented by the following structural formulae

Formula-I

Method And System For Dynamic Trust Orchestration In Payment Networks, Pranjal Gautam, Sakshi Goyal, Divya Jain

Defensive Publications Series

A method (500) for dynamic trust orchestration in payment networks is provided. The method (500) includes receiving (505) data pertaining to a payment event associated with a payment transaction occurring within a payment network, identifying (510) a plurality of entities associated with the payment event from the received data. The method (500) further includes configuring (515) a relationship graph at a graph database with nodes representing the plurality of entities and edges representing relationships among the plurality of entities. The method (500) further includes extracting (520), transaction features, historical features, lifecycle features, and graph-context features from the relationship graph. The …

Automated Analysis Of Advertising Coverage Gaps And Taxonomic Expansion Opportunities, N/A

Defensive Publications Series

An inefficiency in digital advertising may arise when campaigns do not cover a range of products on an advertiser's digital properties (e.g., a website or mobile application), a discrepancy that can be challenging to identify manually. Systems and methods are described that may act as an orchestration engine to programmatically address such discrepancies. A system can programmatically harvest inventory from an advertiser's digital property, retrieve active campaign data from an advertising account, and map both data sets to a common taxonomy to identify potential coverage gaps. The system may also enrich these findings with external market data and suggest semantically …

Dynamic Adaptation Of In-Memory Data Structures For Session-Specific Workloads, Abirami Sukumaran

Defensive Publications Series

Systems and methods are described for a polymorphic in-memory data store that can dynamically adapt its physical structure on a per-session basis. Some applications may experience performance bottlenecks from rigid, static in-memory data structures that may not be well-suited for certain dynamic workloads. The described technology can analyze real-time indicators, such as incoming data patterns and executed query types, to help determine a suitable memory layout. An adaptive engine can then transition the physical representation of the data between different formats, such as key-value, columnar, document, or vector-indexed structures. This approach may allow the in-memory data representation to align with …

Speculative Resource Pre-Warming Based On Partial Agent Output, Sarita A. Joshi, Lavi Nigam

Defensive Publications Series

In multi-agent systems, such as those organized as directed acyclic graphs, cold-start initialization latency at transitions between agent nodes can create performance bottlenecks. This delay can occur when a system waits for an upstream agent to complete its task before preparing resources for the subsequent downstream agent. The described systems and techniques can address this by implementing speculative resource pre-warming. A system can monitor the partial output of an active upstream agent to extract a routing fingerprint and predict the likely next agent in the workflow. Based on this prediction, computational resources for the downstream agent, such as models and …

Mitigating High Central Processing Unit (Cpu)-Induced Link Aggregation Control Protocol (Lacp) Flapping In Large-Scale Bundles, Anthoni Rajanikanth Jasti

Defensive Publications Series

Large-scale data center and enterprise networks frequently employ Link Aggregation Control Protocol (LACP) to aggregate multiple physical interfaces for redundancy and bandwidth. However, high central processing unit (CPU) utilization can disrupt LACP operations, causing interface flapping and network instability, especially when fast LACP timers and many virtual local area networks (VLANs) are configured. A mitigation technique is proposed herein that uses the LACP Out-of-Sync bit to coordinate interface unbundling during high-CPU events, thereby reducing repeated timer-driven flapping and supporting orderly recovery.

Architectural And Mathematical Foundations Of Transform Coding In Image Compression: From Multiresolution Wavelet Pyramids To Hardware-Accelerated Discrete Wavelet Transform Silicon Engines, Gopi K. Tummala

Defensive Publications Series

As distributed compute platforms and high-resolution imaging pipelines scale, uncompressed raw visual data presents a severe transmission bandwidth and memory storage wall. A 24-bit 1024 × 1024 uncompressed frame consumes 3.0 MB of storage, requiring over 7 minutes to transmit across legacy 64 Kbit/s ISDN channels, whereas a 10 : 1 compression reduces this footprint to 300 KB and sub-6-second latencies. This research paper presents a comprehensive mathematical, algorithmic, and microarchitectural evaluation of foundational transform coding paradigms—spanning Discrete Cosine Transform (DCT), Karhunen-Lo`eve Transform (KLT), Fractal Iterated Function Systems (IFS), Spline Regularization, and Multiresolution Discrete Wavelet Transforms (DWT). We formulate the …

Verified-Email Household Principals With Hash-Only Calendar-Feed Capabilities And Atomic Rotation-Based Revocation, Joel Kandy

Defensive Publications Series

A multi-tenant activity-registration platform resolves a household (“family”) account's data by

verified email address alone — with no claim or migration step — and derives from that account a

single aggregated calendar-feed capability URL whose bearer token is stored server-side only as a

domain-prefixed cryptographic hash. Revocation of the feed URL is never a separate operation: it

occurs atomically as a side effect of either (a) re-copying the feed link, which always re-mints the

token, or (b) any change to the account's verified email identity, which nulls the stored hash. The

feed endpoint is served with Cache-Control: private so that …

Time-Division Multiplexing And Adaptive Connection Adjustment In Pipeline Arrays, Jinhui Wu

Defensive Publications Series

This paper describes a time-division multiplexing implementation of Pipeline Arrays. Through TDM and
BRAM-based state management, a limited number of physical Pipelines support a larger number of
Pipeline instances. Each Pipeline instance maintains independent energy state management with automatic
deactivation upon energy depletion. This paper also describes state replication and migration methods,
adaptive adjustment of connection relationships, sparse connection storage and query methods, energy
state propagation and influence calculation, as well as statistical metric collection and event detection. The
above solutions are described in a parametric manner, and relevant parameters can be adjusted according
to actual requirements.

Numerical Validation Of An Aperiodic Bi-Ionic Magnetic Nozzle Architecture For High-Field (48.38 T) Continuous Electromagnetic Acceleration., Daniel Schramm

Defensive Publications Series

This disclosure details the multi-physics finite element verification and structural co-optimization of a continuous-operation, meter-scale electromagnetic propulsion architecture. The design utilizes a bi-ionic, aperiodic golden-ratio magnetic nozzle configuration. Computational evaluation confirms structural, thermal, and electrical viability under a continuous 48.38 Tesla field at a 1 Megawatt load.

Key closed-loop validation metrics include:

• Structural Containment: Implementation of a 32% CuNb/high-strength metal interleaving fraction successfully attenuates peak local magnetic stresses (1.630 GPa), yielding a secure 1.40x safety margin against an 80.0 MPa epoxy delamination threshold.

• Electrical Viability: The co-optimized winding pack sustains an engineering current density of 227.5 A/mm², maintaining the critical …

  ---

  Go to article

Ccwe‑Ω4.0 — Unified Atmospheric‑Hydrodynamic‑Plasma Clean‑Water Engine A Builder‑Ready, Multi‑Physics Pfas/Microplastic Mineralization Reactor For Global Deployment, Michael Victor Caldwell Mr.

Defensive Publications Series

The CCWE‑Ω4.0 is a fully integrated, open‑hardware clean‑water engine designed to permanently destroy PFAS, microplastics, pathogens, hydrocarbons, and recalcitrant contaminants using a unified multi‑physics architecture. Unlike conventional filtration systems that trap contaminants on media, CCWE‑Ω4.0 performs true molecular mineralization, eliminating toxic waste streams entirely.

CCWE‑Ω4.0 integrates:

• Atmospheric water harvesting (GCI #272 Hyper‑Arid MOF Engine)

• Hydrodynamic cavitation (VMR Titan‑2.0)

• Acoustic vortex concentration (Vortex Sentinel AV‑1)

• Cold‑plasma PFAS destruction (Sentinel‑AV‑1‑2.0)

• Gyroid thermal buffering (Forgecell Prime‑2.0)

• Gyroid cooling & resilience (UGCRM‑1.0)

• Multi‑modal resonance mapping (MMRA‑2.0)

• Cognitive multi‑physics stabilization (CMRS‑1)

• Thermoacoustic gradient amplification (CRFG‑1R‑2.0)

• Atmospheric resonance alignment (ARPN‑2.0)

• Hydrology mapping (GRHN‑2.0)

• Off‑grid energy harvesting …

  ---

  Go to article

Multi-Probe Dehp Validation Protocols For Jwst, Euclid, And Roman Space Telescope Telemetry Data, Christopher L. Eckes

Defensive Publications Series

Modern cosmological observations are encountering acute foundational tensions within the standard ΛCDM framework. These include the 5σ Hubble Tension, anomalously mature galaxy populations at high redshifts (z > 10) revealed by the James Webb Space Telescope (JWST), and large-scale cosmic anisotropy dipoles detected in radio and infrared surveys. This white paper presents a formal empirical framework to evaluate the Dimensionally Extended Holographic Projection (DEHP) model against these anomalies. By treating space-time as an emergent bulk generated by a two-dimensional boundary information layer, DEHP treats cosmic expansion as a manifestation of viscoelastic substrate mechanics rather than an intrinsic vacuum metric expansion. We …

Token Prediction Using Grammar Estimation, Shivam Mohan

Defensive Publications Series

A system for token prediction using grammar estimation includes a sequence intake component configured to receive a token sequence and organize the token sequence into ordered progression units retaining positional and temporal structure. A context conditioning component associates the token sequence with contextual dimensions comprising user-specific interaction patterns, session-local behavior, and environmental state. A grammar estimation component maintains a state-transition graph comprising states representing progression conditions inferred from observed token behavior and transitions accumulating evidence of how token sequences evolve. A state merge component computes a merge score for state pairs based on token co-occurrence frequency, similarity of transition neighborhoods, …

Adaptive Real-Time Ml Monitoring, Drift Detection, Cross-Environment Psi, And Hyperscale Authorization For Multi-Rail Payment Fraud Prevention, Durga S. Kala, Jun Xu, Ankana Sonowal, Yidong Fu

Defensive Publications Series

A computer-implemented system for monitoring machine learning model input feature health in a payment transaction authorization network. The system includes a distributed audit log extraction pipeline configured to ingest ML model scoring event records, filter records by model identifier and issuer processor affiliate identifier, and flatten nested JSON request and response structures into columnar format. The system includes a transaction-type partitioning module configured to split the flattened dataset into per-transaction-type subsets corresponding to different authorization pathways. The system includes a numerical feature statistics engine configured to compute distributional statistics for numerical scoring features. The system includes a population stability index …

Adaptive Media Interruption Placement Using Causal Analysis Of Audience Engagement, Joanna Piega, David Lepkowski, Szymon Socha

Defensive Publications Series

A challenge in the field of digital media distribution relates to static interruption placements, such as advertisements, which may be determined without considering evolving audience engagement data. This approach can result in interruptions during periods of low viewer interest, potentially increasing session abandonment. Systems and methods are described that can address this by utilizing a quasi-experimental statistical framework to analyze audience engagement data. The framework may compare viewer abandonment rates between sessions where an interruption was presented and sessions where an interruption was not presented for the same temporal location. This comparison can yield a causal abandonment penalty metric for …

System For Automated Cross-Feed Auditing Of E-Commerce Product Data, N/A

Defensive Publications Series

In multi-channel e-commerce, merchants may utilize separate product data feeds, for instance, for online and local inventory, which can lead to data conflicts and inconsistencies that may not be detected by single-feed validation checks. A system for automated, cross-feed auditing can address these potential issues. The system can integrate and cross-reference data from multiple sources, including online, local, and historical data repositories, to create a more comprehensive view of product data. It may use analytical modules to identify price or availability discrepancies between feeds, diagnose reasons for suppressed promotional badging based on time-series rules, and suggest missing product attributes based …

Autonomous Orchestration Of Trend-Driven Advertising Using Semantic Product Matching, Jasbeer Arora, Anurag Tripathi, Gurvinder Singh

Defensive Publications Series

Digital advertising may be challenged by latency in manual workflows and a semantic gap between fast-moving cultural trends and structured product data, potentially resulting in missed commercial opportunities. A described system can address these challenges using an automated, multi-agent orchestration workflow. For example, a surveillance agent can identify breakout trends from various data streams, such as social media feeds or search queries. These trends may then be semantically expanded using a large language model. The expanded description can be converted into a vector embedding to perform a similarity search against a vector database of a product catalog, which may identify …

Michael Blauser V. Caleb Quimby

2026 Decisions

USDC for the Western District of Pennsylvania

Hudson Hospital Opco Llc V. Cigna Health And Life Insurance Co

2026 Decisions

USDC for the District of New Jersey

Connecting Families Through Cash Transfers And An Enabling Environment In Colombia, Mexico, And The Philippines: A Qualitative Study, Johanna K P Greeson, John Gyourko, Sarah Wasch, Kristin Mallory, Lory Fehlig, Cesar Jácome, Nestor David Lara Yanes, Fátima Areli Ruiz Gutiérrez, Dennis Guamos, Adele R. Lehman

Faculty Scholarship

Nearly 700 million people worldwide live in extreme poverty, and almost half of the world’s population lives below the poverty line. Cash transfer programs are increasingly used to address poverty’s effects on family well-being, yet less is known about how families experience programs that combine cash transfers with peer-driven mutual aid. Children International’s (CI) Community Independence Initiative (CII) provides conditional cash transfers and promotes family-led goal setting, mutual support, and shared learning. This qualitative study explored how families in Colombia, Mexico, and the Philippines experienced CII and made meaning of its material and relational components. We conducted focus groups with …

Turning Titan Photo And Social Media Recap: Welcoming The Class Of 2030 To The Titan Family, Emily Bollinger

Press Releases 2020-2029

No abstract provided.

Noyce Program Provides Iwu Stem Students With Mentorship And A National Teaching Community, Emily Bollinger

Press Releases 2020-2029

No abstract provided.

Midweek Memo, Georgia Southern University

Midweek Memo

• Applaud 
• Remember 
• Share 
• Experience 
• Around the Nest

Hospital Charity Care And Medical Debt Among Low-Wage Workers In The United States, Mathieu Despard, Stephen Roll, Eva Stahl, Camila Salvagno, Ruth Lande

Center for Social Development Research

With one in five low-wage workers reporting medical or dental debt they cannot afford to pay, financial assistance programs (also known as charity care) are an important resource. Federal law requires nonprofit hospitals to offer such programs, but evidence suggests that workers experience administrative burdens in learning about and applying for the assistance. Drawing upon data from the Workforce Economic Inclusion and Mobility (WEIM) survey, this brief presents findings on associations between the characteristics of low-wage workers and their experiences with financial assistance programs. The brief also shares examples of how hospital policies and patients’ needs may not align, presenting …

Do Nonprofit Ratings Help Donors Make Better Decisions?, Ashraf Haque

Center for Policy Research

Nonprofit organizations depend on donations to fulfill their missions, but donors choosing among 1.8 million U.S. public charities often lack the time or capacity to evaluate which organizations are actually performing well. This brief summarizes findings from a study that used a five-year panel dataset of over one million nonprofit-year records from GuideStar (2014–2018) to examine how transparency seal ratings affect donation behavior. The author finds that having any GuideStar seal increases donations by about 7% compared to having no seal, and that platinum-rated nonprofits receive 34% more in donations than unrated organizations, regardless of actual organizational quality. Donors do …

Oregon State Rank Assessment For Schweinitz's Cyperus (Cyperus Schweinitzii), Nora Dunkirk

Institute for Natural Resources Publications

Oregon state conservation status assessment for Schweinitz's cyperus (Cyperus schweinitzii) using NatureServe methodology, 2026.

Insights Into Longevity And Virus-Driven Adaptation From Myotis Bat Genomes, Juan M. Vazquez, M. Elise Lauterbur, Saba Mottaghinia, Léa Gaucherand, Sarah Maesen, Michael Singer, Sarah Villa, Melanie Bucci, Devaughn Fraser, Genavieve Gray-Sandoval, Zeinab R. Haidar, Melissa Han, William Kohler, Tanya Lama, Et Al

Biological Sciences: Faculty Publications

The genus Myotis is one of the largest clades of bats, and it exhibits some of the most extreme variation in lifespans among mammals, alongside unique adaptations to viral tolerance and immune defence^1–3. Here, to study the evolution of these phenotypes, we generated cell lines and near-complete genome assemblies for eight closely related Myotis species. Using genome-wide screens of positive selection, analyses of structural variation and functional experiments in primary cells, we identify patterns of adaptation contributing to longevity, cancer resistance and viral interactions. We demonstrate distinct modes of adaptation to DNA and RNA viruses compared with all …

Uncovering The Genetic Landscape Of Pediatric Hearing Loss Along The Texas–Mexico Border, Desiree Lanehart, Michelle Gray, Roberta Sierra, Camille Maldonado, Daniel Brooks, Hongzheng Dai, Aaly Rahimtoola, Sandy Magallan, Alberto Allegre, Lori Berry

School of Medicine Publications

Children in Health Professional Shortage Areas (HPSAs), including the US border regions, experience delays in the diagnosis of hereditary hearing loss (HL), driven primarily by limited access to specialized genetic services. Although approximately 60% of congenital HL has a genetic etiology, many affected children in these communities remain undiagnosed, delaying timely intervention. Project GIVE is an NIH-funded virtual genomics program that expands access to genome sequencing (GS) for children with undiagnosed multisystemic conditions along the Texas–Mexico border in the Rio Grande Valley (RGV) and El Paso regions of Texas, USA. Children (0–18 years) with suspected rare diseases were referred by …

Citizen Science As A Long-Term Environmental Baseline: Assessing Impacts Of A Small Dam Removal In Montana, Usa, Bethany Blakey, Natalie Bursztyn

Watershed Sciences Student Research

As dam removals increase in frequency across Europe and North America, most research has focused on the impact of larger dam removals, despite the removal of small dams being much more common. There are hundreds of small dams in Montana, USA, and this research investigates impacts on stream ecology and morphology using citizen science data collected over eight years spanning before and after a 2020 small dam removal in Rattlesnake Creek. We analyzed pebble count grain size distributions and aquatic macroinvertebrate biotic indices from 2017 to 2024 to assess changes in sediment transport and macroinvertebrate population as well as evaluate …