Digital Commons Network^™

Transforming Healthcare With Ai: The Illusion Of Control, Garrett L. Heaney

PNHA Review

Artificial intelligence is a new technology that has paved a path into the future for our healthcare sectors. This technology uses machine learning methods and big data to conduct its intended purpose within its designated parameters; however, researchers and consumers have experienced unintended outcomes. Artificial intelligence is deployed throughout our daily lives, so our society looks at this immense responsibility superficially. As organizational leaders experience short-sighted tunnel vision and push for innovative artificially intelligent programs, they do not realize the potential severe dangers.

This paper argues for a graded approach to studying and implementing artificially intelligent machines in healthcare. Our …

The Thank-All-Nearby Primitive: One-Tap Anonymous Gratitude Transfer To Everyone Nearby Over Bluetooth Low Energy Proximity, Thon Ly

Defensive Publications Series

We specify a one-tap broadcast operation for anonymous peer-to-peer value transfer to every co-present, human-verified recipient within Bluetooth Low Energy (BLE) proximity, optionally carrying money or time, in which each recipient receives a verifiable receipt and the sender receives no exportable record. The recipient set is resolved by physical co-presence rather than account lookup: devices advertise rotating, unlinkable proximity beacons, with ultra-wideband ranging and peer-to-peer nearby-connection APIs as optional substrates, and the platform learns only that two devices were in range, never absolute location. Components: (1) sender authentication by a per-action passkey signature, within a proof-of-humanity layer attesting a distinct …

Respiratory Biofeedback Coupled To Ai-Mediated Contemplative Guidance: A Wearable Closed-Loop Breathing Sensor With Adaptive Audio Meditation Guidance, Thon Ly

Defensive Publications Series

This disclosure specifies a closed-loop respiratory biofeedback system: a chest-worn wearable respiration sensor (respiratory inductance plethysmography, with inertial and acoustic alternatives) streams breathing rate, depth and rhythm, in privacy-preserving form, to an AI meditation-guidance agent, which returns adaptive audio guidance to the wearer in real time. The device also renders the breath visibly, as ambient light modulated to the breathing cycle, so the practitioner receives continuous external feedback and the guidance agent receives a live physiological signal rather than self-report.

Three aspects are disclosed as prior art: (I) the integrated closed loop — sensor, on-device processing, guidance agent grounded in …

Aura-Gated Anonymous Mate-Selection: Online Dating Matching Gated On A Verified Record Of Prosocial Giving, With Mutual Anonymous Opt-In, Thon Ly

Defensive Publications Series

We specify an online dating matching system in which discovery is gated on a reputation built from anonymous gratitude records instead of photographs, and a match fires only on mutual anonymous interest between users verified as real humans. The reputation (termed "aura") aggregates thank-you acknowledgments a user has received from many nearby verified strangers over a long period; no individual acknowledgment is read, and it changes only a user's ordering in a local anonymous pool, never anyone's obligation to respond. No photographs appear in discovery. The match trigger requires each of two users to independently and anonymously give time to …

The Time-Locked Gift Tag: Qr- And Nfc-Addressed Gift Labels With Scheduled Reveal Of The Message, The Sender And A Pledge Of Time, Thon Ly

Defensive Publications Series

We specify a QR- or NFC-addressed physical gift label that replaces a handwritten gift tag with a scanned, time-locked reveal: the sender, recipient and message fields are each independently sealed and released at a chosen date or occasion. Scanned before that moment, a web page shows the structure of the gift (which sealed fields exist, with a countdown) but not their content; re-scanning the label at or after the moment unlocks the fields without an app install. Beside the message, the label carries a pledge of the giver's own time to the recipient, rendered as an offer of presence with …

Provenance-Carrying Retrieval: Hash, Timestamp And Source Binding For Retrieval-Augmented Generation, Thon Ly

Defensive Publications Series

We specify a retrieval-augmented generation (RAG) response format in which every document a retrieval server returns to a language model carries a provenance envelope binding the served text to a cryptographic hash of a named, fetchable source file, at least one timestamp independent of the server (an RFC 3161 time-stamp authority, an OpenTimestamps Bitcoin anchor, or a transparency log), and, where available, a persistent identifier (DOI). The envelope also carries a scope statement declaring what the hash covers relative to the served text (whole source, excerpt, or derived rendering), an explicit "no anchor" statement rather than silence when none exists, …

The Reciters' Protocol: Content Integrity Verification, Completeness Manifests And Variant-Preserving Text Retrieval Transposed From Oral Canon Transmission, Thon Ly

Defensive Publications Series

This disclosure specifies content integrity verification and provenance mechanisms for text retrieval systems that serve quoted passages to machine readers, transposed from a multi-recension oral canon transmitted for roughly two millennia without an authoritative copy (the Pāli Buddhist canon).

A conformance endpoint accepts a claimed quotation, compares it with the served multi-recension corpus, and returns one of a closed set of dispositions on the claim, including a conforming variant with its witness, each paired with a prescribed next action and by construction none on the claimant; closed disposition sets are anticipated by OCSP; the composition is disclosed. A separated completeness …

Offshore Ai Data Center Platform — Version 2.0 (Oadc-P V2.0) Self-Sustaining Marine Compute Infrastructure With Closed-Loop Resource Recovery, Ocean Plastic Feedstock, And Maritime Ai Revenue, Michael Victor Caldwell Mr.

Defensive Publications Series

OADC-P v2.0 is an offshore platform hosting 10–100 MW of AI compute that:

• Generates its own power from proven offshore wind + wave + solar

• Cools chips directly with seawater via vortex-enhanced TPMS cores

• Produces fresh water as a marketable revenue product (RO + condensation)

• Collects and converts ocean plastic debris into backup fuel (CIMFR-1.0)

• Processes brine concentrate into mineral products (near-zero discharge)

• Is future-proofed for quantum AI compute via deep cold seawater precooling

• Serves maritime AI inference to the shipping industry at 1–5 ms latency

The result is a platform whose non-compute revenue streams (water + ocean plastic fuel …

Timing-Aware Path Computation And Clock Selection For Ptp In Sr-Mpls And Srv6 Based Networks Using Flex-Algo, Anonymous

Defensive Publications Series

Disclosed is a framework for timing-aware path computation and clock source selection for Precision Time Protocol transport in Segment Routing networks. New IS-IS node and link sub-TLVs advertise timing quality into the routing control plane, the node sub-TLV carrying constant time error, telecom clock type, and clock class, and the link sub-TLV carrying packet delay variation. A dedicated Flexible Algorithm instance for PTP backhaul uses cumulative constant time error as its optimization metric and excludes any link whose packet delay variation exceeds a configured threshold. A prefix segment identifier or SRv6 locator mapped to that algorithm, anchored on the grandmaster …

Automatic Discovery And Refinement Of Tool Catalogs From Conversational Data, Joshua Huang, Steve Yuan, Bryan Horling, Mahdi Zafarmand

Defensive Publications Series

Systems and methods are described for generating a tool catalog for conversational agents from historical conversation data, which can address challenges associated with manual catalog creation. The described technology can use a multi-stage process that may begin with a discovery engine, which could leverage a large language model, to analyze conversations and extract potential tools with their respective inputs and outputs. A subsequent refinement stage can employ a critic-actor architecture to iteratively identify and address potential logical issues in the extracted catalog, such as duplicate functions or unresolved parameter dependencies. This process can result in a dependency-aware tool catalog with …

Tranche-Based Datacenter Deployment Using Temporary Life-Safety Barriers And Secure Access Tunnels, N/A

Defensive Publications Series

A large multi-row data hall is divided, both logically and physically, into tranches. The tranches are bounded by temporary barriers that separate an active tranche serving customers from an adjacent construction tranche inside the same hall. Each tranche receives its own electrical lineup and cooling capacity, built to production standards. The delivered tranche maintains full life safety and security, while the remaining unfinished spaces operate under relaxed requirements, so capacity reaches the customer in proportion to build progress rather than only after the full hall is complete. The temporary barriers incorporate penetration panels that pass cable tray, piping, and other …

System And Method For Asynchronous Network Simulation Telemetry, Topological Environment Remediation, And Generative State-Machine Security, N/A

Defensive Publications Series

An automated, state-aware network orchestration and evaluation platform provides asynchronous security exercise assessment and environment management. The platform initializes isolated virtual guest environments by executing guest agent software that dynamically generates unique boot-time cryptographic artifacts and sends them to a centralized evaluation engine to dynamically compile a grading rubric. User submissions are evaluated using a dual-pipeline generative language model configured with a strict schema contract that concurrently determines semantic equivalence and detects structural anomalies or prompt injection attempts. Trainee progression across simulation objectives is tracked using a topological directed acyclic graph that triggers automated hypervisor commands to mutate guest environment …

An Experimental-Verification Program For The Corpus Mechanisms Of The Register Of Anticipated Ai Failure Modes, Volodymyr Kotegov

Defensive Publications Series

Companion document to the Register of Anticipated AI Failure Modes.

Purpose: to turn each of the register's 12 domains from a general statement that "experimental verification is needed" into a concrete, honestly bounded plan — stating what is testable now, by what means, at what stage, and what is categorically not testable by a small group at present.

Program design: (1) each proposed experiment carries an explicit evidence-class label, separating results that can move a domain’s Mapping status from results that only confirm a mechanism’s internal logic in isolation; (2) Phase 0 is limited to the one item in this …

Register Of Anticipated Ai Failure Modes, Volodymyr Kotegov

Defensive Publications Series

This register collects twelve classes of AI failure that are documented today, in published research or in reproducible experiments, at a level of generality above any single system in the author's corpus. It exists because the author's own architecture documents — Verifiable Trust, the Charter of Procedural Standing, GVAA, BRAA, Physical Oracles, and the Local Multi-Scale Contour specification — each address a subset of these failure classes from within their own scope, and no one of them shows how the classes interact across system boundaries.

The existence of this register reduces the probability that a failure class is simply forgotten. …

Method And System For Multi-Model Consensus Embedding Based Authorization In Payment Transactions, Durga S. Kala, Jun Xu, Benjamin Nativi, Om Pande

Defensive Publications Series

A method (500) for multi-model consensus embedding based authorization in payment transactions includes receiving (505) an authorization request associated with a payment transaction, obtaining (510) a plurality of outputs from a plurality of models, determining (515) inter-model relationship characteristics among the plurality of outputs including agreement, disagreement, partial consensus, or decision divergence, generating (520) a multi-model consensus embedding comprising a vector representation of a joint inference state associated with the payment transaction, storing (525) the atomic transaction record in memory (135), determining (530) a transaction risk assessment during processing of a real-time transaction authorization requests based on the atomic transaction …

Real-Time Predator Detection And Child-Centered Intervention In Multi-Platform Messaging: A System Architecture, Aubrey L. Douglas

Defensive Publications Series

We describe a system for detecting adult predatory behavior directed at minor users across five mobile messaging platforms (Discord, Instagram, Snapchat, SMS/MMS, Roblox) via on-device passive capture on the minor's own Android device. The system introduces three novel techniques not previously documented in either academic literature or commercial parental-monitoring products: (1) cross-platform stylometric fingerprinting that links blocked adult accounts to newly-created accounts by writing style rather than platform identifiers; (2) in-context grooming pedagogy delivering real-time named-tactic warnings to the child at the moment of manipulation, using non-punitive framing and one-tap protective action; and (3) three-stream ingestion with concealment-as-evidence semantics, where …

Offshore Ai Data Center Platform — Version 3.0 (Oadc V3.0) Self-Sustaining Marine Compute & Ecosystem Intelligence Infrastructure Closed-Loop Resource Recovery + Planetary Early-Warning Node, Michael Victor Caldwell Mr.

Defensive Publications Series

OADC v3.0 is a single offshore platform that is simultaneously:

1. A 10–100 MW AI compute facility (seawater-cooled, renewable-powered)

2. A planetary early-warning node (seismic, tsunami, contamination, marine heatwave)

3. A marine ecosystem management system (eDNA census, whale collision prevention, IUU enforcement, coral bleaching prediction)

4. A resource recovery plant (fresh water, ocean plastic → fuel, brine minerals)

5. A maritime AI service provider (1–5 ms inference to shipping and fishing)

No existing platform on Earth performs more than two of these five functions. The closest analogs — China's HiCloud Shanghai UDC (24 MW, May 2026), Panthalassa Ocean-3 (wave-powered, $1B valuation), Seatrium/Mocean 30 MW FDC, …

Dynamic Exposure Weighting Based On Motion Heat Map Analysis, Adam Grant Mccauley

Defensive Publications Series

Proposed herein is a motion-adaptive automatic exposure (AE) system that dynamically reshapes an image signal processor (ISP) weighting table using aggregate motion heat maps. Motion data accumulated over a configurable temporal window identifies high-activity regions, such as roadways or crosswalks, and converts those regions into higher exposure weights, while static regions such as sky or water receive lower weights. A minimum baseline weight remains in low-activity regions to preserve forensic visibility if an unexpected event occurs. Unlike center-weighted, spot, matrix, or object-detection-based metering, the system learns where activity occurs without requiring classification of a person, vehicle, package, or other object. …

Analysis Of Factors Affecting Pharmaceutical Supply Chain Performance In Private Hospital “X” Surabaya, Yuliana Yuliana, Dewi Sri Surya Wuisan

International Conference on Business and Management Research (ICBMR)

This study investigates the effect of six key factors on pharmaceutical supply chain performance (PSCP) at Private Hospital “X” in Surabaya: inventory level control, demand forecasting, supply chain flexibility, supply chain integration, supply chain visibility, and information sharing. A quantitative approach was applied using a questionnaire survey in April 2025, with 187 medical and non-medical staff meeting the inclusion criteria. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM), complemented by Importance-Performance Map Analysis (IPMA) and Prediction-Oriented Segmentation (PLS-POS). Results show that all factors positively and significantly influence PSCP (p < 0.05), with inventory level control being the most dominant (β = 0.336), followed by supply chain visibility (β = 0.224). IPMA identifies inventory level control and demand forecasting as high importance–high performance, while supply chain visibility shows high performance but lower perceived importance. These findings align with the Resource-Based View (RBV), highlighting the strategic value of integrated internal resource management. The study recommends enhancing pharmaceutical supply chain systems to improve hospital efficiency, adaptability, and sustainability.

Modeling Urban Heat Island Mitigation Strategies In Egyptian Cities Using Envi-Met, Islam M. Gaber, Abbas M. Hassan, Tarek Elkashef, Ola A. Gad, Ahmed M. Abdo, Abdelrazek Elkomy

HBRC Journal

Mitigation techniques for urban heat islands (UHI) have emerged as a critical concern for global urban environmental sustainability. Passive cooling employing cool materials and/or urban greening has shown to be the most effective strategy for mitigating the impacts of UHI. This latter method, however, is relatively new in the literature of urban environmental studies, and research on it is still limited, particularly for cities in hot-dry climatic zones. This study aims to investigate the possibility of improving albedo rates and adopting urban greening measures, such as greening building roofs, roadways, and walkways, in several Egyptian cities located in various climatic …

Greenwavetransformer: A Lightweight Forecast-Driven Control Framework Toward Sustainable Data Center Management, Esraa Monzer Alqasmy, Nizar Nouri Alhafez

Baghdad Science Journal

Cloud computing continues to consume increasing amounts of energy, adding to operating costs and making sustainability and service reliability harder to maintain. Resource management, however, is still largely reactive in many systems: decisions are made after workload or renewable-energy conditions have already changed, with little use of what is likely to happen next. GreenWaveTransformer is designed around this gap. It combines a wavelet-based Transformer with an offline reinforcement-learning (RL) controller so that resource-management decisions can be informed by expected operating conditions rather than by the current state alone. A discrete wavelet transform is used to represent nonlinear and nonstationary workload …

Fostering Translational Nursing Research Through Academic-Health System Partnerships, Monique Bouvier, Sharon Sonenblum

International Nursing Research Congress (INRC)

Nursing research often presents a disconnect between academic inquiry and the immediate needs of frontline clinical practice. Funding cycles can delay addressing emergent patient care challenges, and academically driven research questions may not always yield direct, value-added solutions for nursing workflows. To mitigate this gap, we initiated a novel program designed to foster collaboration between academic researchers and frontline clinical staff, facilitated by a clinically-based nurse scientist.

This initiative strategically brings academics to the point of care to gain firsthand insights into pressing clinical problems, and conversely, convenes clinical experts with academic counterparts to articulate real-world research priorities. This collaborative …

Effectiveness Of Pancreatic Cancer Screening In High-Risk Elderly Individuals In Florida, Adeleke A. Aromolaran

Walden Dissertations and Doctoral Studies

Routine preventive care supports early identification and management of health conditions among adults at high risk for pancreatic cancer. Evidence is limited regarding socioeconomic and health care access factors associated with engagement in routine preventive care among Florida adults aged 65 years and older at high risk for pancreatic cancer. The purpose of this quantitative cross-sectional correlational study was to examine these associations among this population. The health belief model served as the theoretical framework. Secondary data from the 2022 Florida Behavioral Risk Factor Surveillance System were analyzed for N = 4,032 participants using two multivariable binary logistic regression models …

Butte Priority Soils Operable Unit Final Reclamation Improvement Field Sampling And Investigation Plan: Bres No. 75 – National Dump, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Butte Priority Soils Operable Unit Final Reclamation Improvement Field Sampling And Investigation Plan: Bres No. 160s – Syndicate Pit Dumps, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Multi-Solution Ternary Grover’S Algorithm For Logic-Based Quantum Machine Learning With Pseudo-Kronecker Reed–Muller Form Minimization, Sophia Lee, Ali Al-Bayaty, Marek Perkowski

Electrical and Computer Engineering Faculty Publications and Presentations

Optimization problems in machine-learning (ML) applications can be computationally challenging for classical methods, particularly when they involve large, unstructured search spaces. Quantum computing offers a promising approach to combinatorial optimization by utilizing quantum superposition and amplitude amplification. This paper presents a new methodology using logic-based quantum machine learning (QML) as a complete framework for employing a multi-solution ternary Grover’s algorithm to minimize incomplete binary functions represented by Pseudo-Kronecker Reed–Muller (PKRO) expansions, consistent with Occam’s razor principle. Unlike previous quantum approaches based on Kronecker Reed–Muller (KRO) or fixed-polarity Reed–Muller (FPRM) representations, our work introduces the first Grover-based optimization framework for PKRO …

A Systematic Approach For Controlling Tem Sample Thicknesses, Monte Kozell

Physics Faculty Publications and Presentations

Historically, TEM prep has been an artisan craft without a systematic workflow that ensures quantified control over TEM sample thickness. Over- and under-thinning is a significant problem in the TEM prep process. A direct measurement process was demonstrated to control the final thickness of the TEM lamella. Final lamella thickness was controlled by directly measuring lamella thickness in real time using a 10–15 kV SEM while performing secondary electron imaging at the mill position, allowing for (human-mediated) closed-loop processing. We demonstrated the utility of this technique by systematically thinning five TEM samples to discretely target thicknesses ranging from 100 nm …

Epidemic Dynamics Under Pulse Population Exchange, Hannah Kravitz, Christina Durón, Moysey Brio

Mathematics and Statistics Faculty Publications and Presentations

Many epidemiological models assume either closed populations or continuous demographic turnover. We consider an intermediate setting in which exchange occurs through discrete pulses. In this paper, we introduce a population-conserving compartmental epidemiological model with pulse population exchange at a set of prescribed times. At each pulse, a fraction of the population in each compartment is replaced by a combination of susceptible and immunized individuals. In contrast to typical pulse birth or pulse vaccination models where only a single compartment undergoes a pulse population change, the pulses in this model have competing effects: removing infectious individuals reduces the force of infection, …

Retraction Notice To "Hydrogen Recovery, Cleaning, Compression, Storage, Dispensing, Distribution System And End-Uses On The University Campus From Combined Heat, Hydrogen And Power System" [International Journal Of Hydrogen Energy 39 (2014) 647-653], Tarek A. Hamad, Abdulhakim A. Agll, Yousif M. Hamad, Sushrut Bapat, Mathew Thomas, Kevin B. Martin, John W. Sheffield

Engineering Management and Systems Engineering Faculty Research & Creative Works

This article has been retracted: please see Elsevier policy on Article Correction, Retraction and Removal (https://www.elsevier.com/about/policies-and-standards/article-withdrawal). This article has been retracted at the request of the Editor.

September 24, 2026, The Daily Mississippian

Daily Mississippian (all digitized issues)

No abstract provided.