Digital Commons Network^™

Unlocking Faculty Potential: A Quasi-Experimental Study Of Coaching And Academic Performance In Health Care Settings, Amanda Woods Herron, Katelyn J. Cavanaugh, Michelle Figliuolo Deveau, Courtney L. Holladay

Advances in Cancer Education and Quality Improvement

As faculty in academic medicine face mounting demands to excel in clinical care, research, teaching, and administrative responsibilities, interventions that support professional sustainability are increasingly critical. Coaching has emerged as a promising developmental strategy within health care leadership, yet its impact on research and clinical outcomes in academic medical centers remains underexplored. This quasi-experimental study evaluated the effectiveness of a coaching program using intentional change theory (ICT) as a conceptual framework. ICT emphasizes sustainable personal transformation through alignment between the ideal self and professional goals. We examined a sample of 189 coached clinical faculty and 200 matched peers who had …

Why Should A Data-Driven Cancer Center Prioritize Well-Being?, Peter Pisters

Advances in Cancer Education and Quality Improvement

No abstract provided.

The Future Of Wellness In Health Care, Jennifer Bickel

Advances in Cancer Education and Quality Improvement

No abstract provided.

Validating A Predictive Model Of Nurse Burnout Using Integrated Data Sources, Shahin Davoudpour, Mahesh Vaidyanathan, Rinad S. Beidas, Hannah Mulroe, Elliott Brandon, Matthew Lloyd, Gabrielle M. Olson, Mallika Pandey, Daniel Blumenthal, Baljash Cheema, Gaurava Agarwal

Advances in Cancer Education and Quality Improvement

Objective: To evaluate an integrated machine learning model using routinely collected organizational data to identify nurses at increased risk for burnout.

Background: Health care worker burnout directly threatens patient safety, quality of care, and workforce stability. Although nurses experience significantly higher burnout rates than physicians and face distinct operational stressors (eg, staffing shortages, continuous bedside care demands), most predictive modeling efforts have focused on physicians. Current approaches to identifying burnout typically rely on voluntary surveys, but advances in data science and machine learning have created new opportunities to move beyond self-reported measures.

Methods: This retrospective observational study included 1,177 nurses …

Actualizing Leaders To Inspire A Group Network (Align): Feasibility And Pilot Of Implementing A Commensality Group Program For Leaders In A Pediatric Healthcare Setting, Thomas B. Ayres, Kristin Ray, Angela Myers

Advances in Cancer Education and Quality Improvement

Background: Leadership behaviors in pediatric health care settings are strongly linked to leader burnout, professional fulfillment, and self-care in addition to influencing their teams. Despite their pivotal role, leaders often face substantial emotional burdens associated with their roles. Commensality groups, defined as small, recurring gatherings centered around shared meals and structured discussions, have emerged as a promising approach to enhancing connection, community, and resilience among health care professionals. A gap in the literature regarding commensality groups is understanding the mechanism of this well-being intervention. Our hypothesis is that commensality groups act as resource caravans and provide psychosocial resources to health …

Cookies Crumble: Reimagining Internet Personal Jurisdiction Post Briskin V. Shopify, Gabriel Wherley

University of Cincinnati Law Review

No abstract provided.

Birthright Citizenship Deserves Universal Injunctions, Jin Lim

University of Cincinnati Law Review

No abstract provided.

Punishing Homelessness: An Analysis Of Criminalizing Outdoor Sleeping, Maggie Hazelbaker

University of Cincinnati Law Review

No abstract provided.

Turning The Page Backward: Reconciling The Current Circuit Split On Whether The First Amendment Can Be Used To Challenge Modern Book Banning, Stella Brocker

University of Cincinnati Law Review

No abstract provided.

The More You Know, The More You Realize You Don't Know: The Impact Of Loper Bright On Traditional Notions Of Judicial Philosophy, Benjamin Baioni

University of Cincinnati Law Review

No abstract provided.

From Pickering To Participation: Rebalancing Speech And Equality In Government Employment, Madeline Pendleton, David Schultz

University of Cincinnati Law Review

Public employees occupy a uniquely precarious position in American constitutional law. They retain First Amendment rights as citizens while simultaneously operating within institutional hierarchies that may legitimately regulate their expression. Title VII and the Fourteenth Amendment’s Equal Protection Clause protect them from discrimination, yet the doctrinal frameworks designed to safeguard them often pull in opposite directions. This Article examines the resulting doctrinal confusion, arguing that the intersection of the Pickering/Garcetti framework governing public employee speech with Title VII’s hostile work environment doctrine and the Equal Protection Clause’s intent requirement has generated genuine uncertainty about the scope of constitutional protection—uncertainty that …

Modular Securities Regulation, Anita K. Krug

University of Cincinnati Law Review

Securities regulation is not supposed to look like corporate law, yet in the market for interval and tender-offer funds, it increasingly does. The SEC’s modern exemptive practice for these registered investment vehicles—funds that offer periodic liquidity while investing in less-liquid strategies—is doing more than granting individualized relief. In effect, it is transforming the Investment Company Act’s closed-end structural constraints from mandatory architecture into conditional defaults that permit product modularity (particularly in terms of multiple share classes and distribution and servicing fees) when paired with governance and disclosure safeguards. The result is a distinctly corporate-governance-like move in federal securities regulation: The …

An Analysis Of The Increasingly Popular Evidentiary Objection That "The Opposing Expert Has 'Cherry-Picked' The Information Supporting Their Opinion"—An Objection That Is At Once Colorful And Dangerous, Edward J. Imwinkelried

University of Cincinnati Law Review

No abstract provided.

Bending The Arc: The Long Fight For, Over, And With Justice, Jon Hanson, Lica Porcile, Dean A. Strang

University of Cincinnati Law Review

No abstract provided.

Systems And Methods For Price Matching Through Payment Dispute Flows, Deepak Tomar

Defensive Publications Series

Systems and methods for price matching through payment dispute flows are provided. A request to initiate a price match is received from a consumer for a transaction made using a payment credential issued by an issuing bank. The issuing bank generates a price match dispute message and transmits the price match dispute message through a payment network to an acquirer associated with a merchant of the transaction. The merchant is notified of the price match dispute, and a response to the price match dispute is received from the acquirer or the merchant. The response indicates either agreement with the requested …

System, Method, And Computer Program Product For Routing A Machine Learning Inference Request To A Model Version Based On Properties Of A Format-Preserving Encrypted Identifier Without Decryption, Hao Qin, Ruiyang Xia

Defensive Publications Series

The present disclosure provides a method, a system, and a computer program product for routing machine learning inference requests based on properties of a format-preserving encrypted identifier without performing decryption. The method comprises receiving a transaction request containing an identifier encrypted using format-preserving encryption, wherein the encrypted identifier preserves the format and length of the original identifier. The method includes extracting a prefix portion of the encrypted identifier without performing decryption and without accessing cryptographic key material. The method includes matching the extracted prefix against a pre-computed routing table that maps encrypted prefixes to machine learning model versions, wherein the …

Account-Context-Affinity Routing For Transformer-Based Payment Authorization With Key-Value Cachestate Freshness As A Routing Signal, Durga S. Kala, Tomer Rabani, Benjamin Nativi

Defensive Publications Series

The present disclosure provides a method and a system for account-context-affinity routing in a distributed transformer inference grid. The method includes recording, by a cache state monitor embedded in each inference stack, KV cache hit and miss events for each account bucket and determining a rolling hit rate for each account bucket over a sliding window. The method includes aggregating the rolling hit rates from the inference stacks into a preference matrix mapping account buckets and inference stacks to hit rates and publishing a snapshot of the preference matrix to a routing signal bus. The method includes receiving an authorization …

Cryptogram Key Scheme Migration For A Device Token, Yuexi Chen

Defensive Publications Series

The present disclosure provides a method and a system for migrating a cryptogram key scheme of a device token. The method comprises detecting that a device associated with the device token is migrated to a second key scheme and determining whether an issuer associated with the device token is migrated to the second key scheme. The method includes provisioning a single token key of the second key scheme where the issuer is migrated and provisioning a first token key of a first key scheme in an active state together with a second token key of the second key scheme in …

Si Compute Lease™: Supply Of Ai Computing Conditioned On Live Certification, In Which Chips, Cloud Capacity And Site Time Are Provided Under Expiring Leases Checked Against A Neutral Registry, Lapses Follow A Graded Ladder With Notice, Cure And Appeal, Accelerators Enforce Their Own Lease, Essential Services Are Protected, And Stolen Or Diverted Hardware Is Refused, Edward D. H. Wang

Defensive Publications Series

This disclosure describes how suppliers of AI computing, such as makers of AI accelerators, cloud providers and operators of computing sites, can make their supply conditional on the safety of the AI systems it serves, without having to judge their customers' businesses themselves. Computing is supplied under expiring leases. Each lease names the customer, the AI systems it serves by their lifelong identifiers, the amount and kind of computing, and an expiry, and is renewed only while those systems hold live certification in a neutral public registry, issued by accredited bodies under a published standard. The supplier checks the registry …

Trusted Gen Ai Analytics Using Semantic Graph Grounding And Grain-Safe Query Validation, Srishti Jaiswal, Anshul Hedau

Defensive Publications Series

A computer-implemented system and method to generate trusted analytics result from a natural-language business query. Business-intent elements represented by the query are mapped to semantic objects in a semantic data graph representing business entities, approved relationships, measures, dimensions, filters, and aggregation-grain metadata. Before generation of an executable query, one or more candidate semantic query plans are generated over the semantic data graph. A validation engine validates relationship-path correctness, measure compatibility, aggregation-grain safety, ambiguity, policy constraints, and fanout or double-counting risk. Validated plans may be ranked using confidence scores, and clarification may be requested when materially different interpretations remain. A selected …

Automated Counterfactual Pair Mining In Payment Artificial-Intelligence Systems, Durga S. Kala, Om Pandey, Tanner Barcelos, Benjamin Nativi, Jun Xu

Defensive Publications Series

A system and method for identifying counterfactual transaction pairs in a payment artificial-intelligence system. An atomic embedding vector associated with a query transaction is selected, and an inference embedding vector index is queried to retrieve transaction records whose embeddings satisfy a similarity criterion. Outcome metadata associated with the retrieved records is compared with an outcome of the query transaction. A retrieved transaction having a divergent outcome is paired with the query transaction as a counterfactual transaction pair. An embedding distance between the pair members indicates decision-boundary proximity. The pair may be stored in a counterfactual-pair registry and used for decision …

Universal Food Stabilizer, Peter Stevenson

Defensive Publications Series

Introducing a multi-functional, universally non-allergenic additive framework that meets Capex and NPAT requirements

Combatting Cyber Warfare, Peter Stevenson

Defensive Publications Series

This paper offers a regulatory behavior for news services that leverages Reinsurance providers as a means to giving news an equivalent metric to Moody's and Standard & Poors methods of measuring debt risk in corporations. Whilst not a all encompassing metric it provides service users with a knowledge of the trustworthiness of their preferred news source.

Prompt-Bound Credential Mediation With Drift-Aware Boundary Amendment For Ai Agents, Chad Patterson, Rajarshee Dhar, David Hanes, Ram Mohan Ravindranath

Defensive Publications Series

A system is proposed herein for bidirectional drift-aware amendment of a signed, versioned task boundary governing an artificial intelligence (AI) agent’s interactions with protected tools. A mediation plane checks an agent-proposed request against the active boundary before tool execution and checks actual returned records and fields against the same boundary before delivery to the agent. When either check detects a deviation, the request or returned data is held and a dimension-specific delta is generated. A verified human may deny, approve, or approve with conditions. Approved conditions are compiled into an enforceable boundary version before the held interaction proceeds. A temporary …

K17 Addendum 1: Signed-Attestation Rosters, Sponsor-Admitted Merkle Rosters And A Freeze Escape For A Utxo-Chained Stack Machine, Jerry D. Chan

Defensive Publications Series

This addendum to the K17 disclosure (Technical Disclosure Commons, October 20, 2026) describes three mechanisms for a stack machine whose suspended process lives in one unspent transaction output. First, a signed-attestation roster: the machine pays a fixed contributor, such as the owner of a sensor node, for a reading the contributor signed, whichever third party relays it, by checking a Rabin signature under a key whose hash is held in write-protected memory, and by paying the contributor's own payout address ahead of the relayer's reward; members can vouch new members in by signature. Second, a sponsor-admitted Merkle roster: the roster …

System For Personalized Commerce Using Multimodal Outcome Gap Analysis, Serline S. Coelho

Defensive Publications Series

Systems for connecting users with products in audiovisual content, such as videos or images, can have limitations in assisting a user to replicate a holistic outcome, for example an entire room design, which may result in fragmented or redundant product suggestions. A described system can perform multimodal analysis of content to generate a structured model of a desired outcome. This outcome model may then be compared against a model of the user's current state, which can be derived from user-authorized data sources (e.g., images of a user's environment, purchase history), to identify an outcome gap of missing products. A commerce …

Changing Computing Resource Limits For Camera-Based Motion Tracking, Parth Agrawal, Ryan Christopher Dutoit

Defensive Publications Series

Camera-based motion tracking systems, which fuse camera images and inertial measurement unit data to estimate a position and orientation of a device, can experience performance bottlenecks on resource-constrained platforms due to processing a statically defined number of visual constraints. A dynamic, map-aware framework can allocate a visual constraint budget at runtime. When a map is available, the framework may evaluate a quality of the map and choose to use map-based tracking features instead of standard motion-tracking measurements. A budget for persistent feature tracking landmarks may optionally remain fixed. This approach can reduce a total number of processed constraints. Modifying a …

Scroll-Activated Advertisement Dismissal, Yang Zhao, Clyde Li, Megana Belagutti, Alan Ruthazer, Emory Mcdowell

Defensive Publications Series

The technology described herein is directed to a scroll-activated dismissal mechanism for full-screen advertisements that links the close function of an advertisement (“ad”) to user interaction. When a scrollable ad is displayed, its close button is initially disabled and becomes active only after the user scrolls to a predetermined point, such as the end of the ad content. Visual cues inform the user of the scrolling requirement to enable the button. This ad format presents information-detailed content, including product descriptions, images, video, and reviews, within a single scrollable feed. The experience can be structured as a multi-stage journey, presenting an …

Self-Improving Multi-Ai Agent System For Impact-Aware Infrastructure Configuration Remediation, Arica Schivonne Jackson, Sushma Mahadevaswamy, Sree Gowri Addepalli, Barry Qi Yuan

Defensive Publications Series

A self-improving multi-agent artificial intelligence (AI) system is proposed herein for impact-aware infrastructure configuration remediation across cloud, on-premises, network-fabric, container, and hybrid environments. The system builds a temporally weighted identity and dependency graph (TIDG) from telemetry and large language model (LLM)-extracted relationships, uses a graph neural network (GNN) to predict the operational blast radius of a proposed change, and routes each finding to one of four simulation tiers. Every tier emits a normalized per-principal good-actor impact vector. Independent security, reliability, cost, and compliance evaluators use that vector in an adversarial governance gate. Accepted changes advance through telemetry-gated observe, canary, progressive-ring, …

Secure, On-Device Financial Aggregation And Autonomous Liquidity Management, Thirumagal Dhivya Subramanian

Defensive Publications Series

Systems for personal financial management may centralize data on remote servers, which can expose sensitive information, such as user credentials and personal messages, to potential security vulnerabilities. Described systems and techniques provide for a financial management architecture that can operate locally on a user's client device (e.g., a smartphone, smart watch, wearable device, or augmented reality glasses). The architecture may utilize on-device listeners to capture unstructured financial alerts, and a lightweight, on-device large language model may parse these alerts to extract structured transaction data. A predictive analytics engine can then forecast cash flow to calculate a suggested liquidity value for …