Digital Commons Network^™

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. …

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, …

September 24, 2026

The Breeze, 2020-

No abstract provided.

Discourse Of Open Party Contestation In Jemaah Tarbiyah In Indonesia, Gili Argenti, Caroline Paskarina, Nani Darmayanti, Nandang Alamsah Deliarnoor

Jurnal Wacana Politik

Factionalization in Indonesian political parties is commonly explained by elite rivalry, coalition choices, or clientelistic interests, leaving intra-party conflict over the meaning of ideology less well explained. This article asks how the discourse of an open party constructs and reveals ideological contestation within Jemaah Tarbiyah and how that contestation contributed to the emergence of the Gelora Indonesia Party. Using Teun A. van Dijk's critical discourse analysis (CDA), the study integrates textual analysis, social cognition, and social context. The empirical material consists of in-depth interviews with 20 purposively selected actors from PKS, GARBI, Gelora, and related Tarbiyah networks, together with party …

Fear, Threat, And Google Searches: Examining Ideological Shifts Using Big Data, Erin M. Cerasaro

Master's Theses

In their review of research on factors that affect political conservatism, Jost et al. brought together research from several theoretical viewpoints. This produced a model of psychological needs and motives in individuals which react with stimuli that make them feel fearful and threatened (F/T), increasing adherence to conservative ideology. While some research supports these claims, evidence shows that in some contexts these variables increase ideological polarization overall, but may also have a greater impact on conservative attitudes specifically. Researchers have had difficulty in investigating these relationships in naturalistic settings due to an inability to manipulate events that precipitate this ideological …

Gregory Hartmann V. Brian Chudzik

2026 Decisions

USDC for the Eastern District of Pennsylvania

Toxic Plants In Zimbabwe: The Lantana Camara Species, Frank Kapungu, Cecilia Masvingwe

Poisonous Plant Research (PPR)

Lantana camara is a major invasive plant species in Zimbabwe. Its toxic effects pose a threat to livestock production, biodiversity, and development. A survey was carried out throughout the country to investigate the distribution of L. camara in Zimbabwe and assess the extent of its spread. Identification was done by toxicologists with the support of an experienced botanist from the National Herbarium of Zimbabwe. The location of the plants was identified using a portable Garmin eTrex® 10 Handheld GPS navigation device., and the coordinates were recorded. Quantum Geographic Information System (QGIS) was used to plot the map. L. camara was …

Plagiarism Myths And Realities: From Classic Misconceptions To The Age Of Ai, Suhasini Kotcherlakota

Instructional Materials: College of Nursing

Plagiarism remains a serious academic and research-integrity concern for students, researchers, and health professionals alike. This brief resource addresses common misconceptions about plagiarism, including its prevalence, who commits it, the limits of detection software, and text recycling. It also examines how generative AI has changed questions of authorship, attribution, and detection, and offers evidence-based clarifications drawn from publication-ethics guidance, federal research-misconduct regulations, and educational policy.

Spartan Daily, September 24, 2026, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2026

Volume 167, Issue 15

Listening To The Society Of Yeager Scholars: An Interpretive Companion For Institutional Memory And Strategic Reflection, Brian A. Hoey

Publications of the Honors College at Marshall University

Listening to the Society of Yeager Scholars is an interpretive companion for institutional memory and strategic reflection. Rather than offering a definitive history of the Society of Yeager Scholars or prescribing its future direction, the document reads the Society as an institution with a culture—one shaped over nearly four decades through educational purposes, relationships, traditions, expectations, and changing interpretations of what the Society is and should be.

Drawing on early oral histories, Alison Gerlach’s history of the Society’s first thirteen years, contemporary accounts, institutional records, strategic-planning materials, and sustained institutional experience, the document identifies recurring ways participants have understood the …

Assignment 1: Recipe Blog, Kylie E. Quave

Kylie Quave, First Year Writing: Food Archaeology for Civic Engagement

No abstract provided.

Exploring Sub-Saharan African Immigrants’ Perceptions Of The American Criminal Justice System, Martin B. Kalala

Walden Dissertations and Doctoral Studies

This qualitative phenomenological study explored sub-Saharan African immigrants’ perceptions of the United States criminal justice system, including law enforcement, courts, and correctional institutions. Despite the significant and growing presence of sub-Saharan African immigrants in the United States, their perspectives remain underrepresented in criminal justice research. Grounded in critical race theory and informed by a narrative inquiry lens, this study sought to understand how race, immigrant status, and cultural background shape perceptions of fairness, trust, and legitimacy within the justice system. Data were collected through semi-structured interviews with 21 sub-Saharan African immigrants residing in the United States. The data were analyzed …

Strategic Effort For Employee Retention In The Financial Industry, Gail Nichole Flores

Walden Dissertations and Doctoral Studies

Failure to properly retain financial industry employees can cause a chain reaction of detrimental issues, including financial consequences, high turnover rates, and vulnerabilities to an organization’s overall health and success in the industry. Financial industry leaders may struggle to maintain an appealing organization for current and prospective employees, hindering their ability to retain talent profitably and sustainably and gain a competitive advantage in the financial industry. The purpose of this qualitative pragmatic inquiry project was to identify and explore effective strategies that financial industry leaders use to retain employees and remain profitable and sustainable. Using Herzberg’s two–factor theory of motivation, …

Implementation Of The Trojan Sex Chromosome Approach In The San Juan River: Investigation And Validation Of Feminization Methods For Channel Catfish, Chad Teal

Funded Research Records

No abstract provided.

Online Humiliation And Audience Responsibility In Adolescent Media Literacy Education, Author Information Removed

JMLE Submissions Open for Review

Online humiliation raises an educational problem that extends beyond identifying harmful messages: audience participation can make another person's embarrassment socially rewarding. This essay develops an argument for teaching responsibility for reactions and redistribution. Five student quotations reported in a Ghanaian doctoral manuscript illustrate tensions between recognition, joking, unwanted exposure and silent disagreement. They inform a conceptual discussion rather than a new analysis of focus-group transcripts. Drawing on scholarship on adolescent peer relations, bystander behaviour and media literacy, the essay distinguishes interpreting a message from judging what one's participation does to others. It proposes a classroom sequence using fictional exchanges to …

Hybrid Deep-Machine Learning For Butterfly Species Image Classification, Maha A. Rajab, Wisal Hashim Abdulsalam, Firas A. Abdullatif, Tole Sutikno

Baghdad Science Journal

Classifying butterfly species is crucial in biodiversity studies and environmental monitoring. However, manual classification is often a laborious process that requires specialized expertise and is prone to error, especially when species have similar visual characteristics. To address these drawbacks, this paper presents a hybrid approach that combines machine learning with deep learning for feature extraction. To enhance the visibility of important features, preprocessing techniques such as background removal and binarization are applied to butterfly images. Feature extraction was performed using the SqueezeNet convolutional neural network, pretrained on the ImageNet dataset. By discarding the final classification layer, the network produced discriminative …

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 …

Nucseg: An Effective Detectron2 Architecture For Nuclei Instance Segmentation In Histological Images, Payman Hussein Hussan, Syefy Mohammed Mangj

Baghdad Science Journal

Nuclei are often minuscule objects within histological whole slide imaging (WSI), presenting a labor-intensive task for pathologists to identify and analyze their characteristics. The precise identification of nuclei is essential in cancer pathology to conduct both quantitative and qualitative assessments of cancerous cells found within a slice of a tumor in order to assess the level of malignancy of the tumor; and to predict the outcome of the tumor. Manual identification is labor-intensive and prone to errors, whereas automatic recognition is complicated by the varied appearances and overlapping characteristics of nuclei, along with artifacts from digital photography. To address this …

Montana Kaimin, September 24, 2026, Students Of The University Of Montana, Missoula

Montana Kaimin, 1898-present

Student newspaper of the University of Montana, Missoula.

An Ion-Neutral Reaction To Form Cyanobenzene And Ethynylbenzene In Titan’S Atmosphere, Rachel M. Huchmala, Vincent J. Esposito

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

The ion-neutral reaction between cyanoacetylene (HC₃N) and phenyl anion (C₆H₅^–) leads to the formation of cyanobenzene (C₆H₅CN) and the ethynyl anion (C₂H^–) via a submerged, exothermic pathway. Through a different mechanism, the same two reactants also form ethynylbenzene (C₆H₅C₂H) and CN^–. These new reactions can be a foundation for the production of substituted benzenes using molecules currently present on Saturn’s largest moon, Titan. Cyclic aromatic molecules like C₆H₅CN and C₆H_{5 …}

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.

The Illusion Of Normative Convergence: A Neoclassical Realist Analysis Of The Ieu-Cepa And Eudr Collision, Pribadi Sutiono, Mansur Juned

Jurnal Wacana Politik

In 2026, The European Union’s geoeconomic strategy is increasingly defined by the systemic dynamics of the renewed US-China rivalry, the transatlantic alliance fracture under the Trump administration, and the ongoing Russia-Ukraine war. To mitigate these dynamics, the EU has aggressively pivoted to the Global South, prioritizing the Indonesia-EU Comprehensive Economic Partnership Agreement (IEU-CEPA). However, the EU also seeks to enforce its normative climate agenda via the imminent December 2026 implementation of the European Union Deforestation Regulation (EUDR), which contains points that also became central to the discussion on the IEU-CEPA. This research utilizes a Neoclassical Realism (NCR) framework and qualitative …

Going Back To The Past: Veto Players, Historical Institutionalism, And The Asia Financial Crisis 1997/1998, Muhamad Iksan, Arif Haryadi

Jurnal Wacana Politik

Our article proposes a novel explanation of 1997/1998 Asia Financial Crisis (AFC) by going back to the past. As 2026 remarked twenty nine year anniversary of AFC. Our humble aim here is two folds. First, our paper attempts to investigate effect of veto players. Furthermore, we attempt to explain more on the concept and measurement of veto players. By incorporating such concept, it would enrich our understanding of the interlocking ideas of economic consequence of political institution with historical institutionalism. Moreover, we elaborate the concept and measurement of veto players explained how Asia-Pacific countries could learned from history for …

Expression Analysis Of Ferroptosis-Related Genes Gpx4 And Acsl4 In Iraqi Patients With Ulcerative Colitis: Association With Disease Activity, Abbas Ali Manshd

Muthanna Medical Journal

Background: Although ferroptosis has been identified as a key process in the pathophysiology of ulcerative colitis (UC), there is still little clinical data on ferroptosis-related gene expression. This study examined the expression of GPX4 and ACSL4 in peripheral blood from UC patients in Iraq and assessed their correlation with disease activity. Methods: In this case-control study involving 50 UC patients and 50 healthy controls, the 2^{-ΔΔ Ct} technique assessed relative GPX4 and ACSL4 mRNA expression via quantitative real-time PCR. Disease activity was quantified using the Mayo Clinic Score, with ESR and CRP serving as inflammation indicators. …

Butte Priority Soils Operable Unit Final Reclamation Improvement Field Sampling And Investigation Plan: Bres No. 9 – Clark Street Dump, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Identifying Barriers To Reporting Concerning Behaviors In A Public Secondary School, Will Durgin

Graduate Student Dissertations, Theses, Capstones, and Portfolios

Threat assessment is an effective school safety practice that allows schools to identify concerning behavior and intervene before it reaches a crisis. Because this process often begins with a staff member recognizing and reporting a concern, this study examined how school staff interpret concerning behavior, understand their responsibility to report it, and what can make reporting more difficult.

The study used a two-phase action research design in a small, rural public school district in western New York. The first phase used a survey built around five behavior vignettes, while the second phase consisted of staff interviews.

Staff generally agreed when …

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 …

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 …

Hardware-Enforced Raw Sensing Data Zeroization And Host-Verifiable Privacy Breakpoint, Hp Inc

Defensive Publications Series

Modern AI PCs increasingly rely on cameras and microphones to provide contextual intelligence such as presence detection, occupancy estimation, and environmental awareness. However, conventional sensing architectures often expose raw image and audio data to the host operating system, creating privacy and security risks. This article presents a hardware-enforced privacy breakpoint architecture that keeps raw sensing data within an edge sensing module. The module performs local feature extraction, generates de-identified structured outputs, and subsequently erases raw sensing buffers through a dedicated hardware zeroization mechanism. A hardware verification circuit confirms successful memory sanitization before a protected interface releases feature data to the …