Digital Commons Network^™

Reflecting On Forty Years Of Gabler’S Ulysses, Eishiro Ito

James Joyce Literary Supplement

No abstract provided.

Expanding Ai Literacy: The 5cs Of News Literacy In The Era Of Generative Ai, Seth Ashley, Adam Maksl, Paul Cook

Journal of Media Literacy Education Pre-Prints

This article adapts the 5Cs framework of news literacy—context, creation, content, circulation, and consumption—to media environments shaped by generative artificial intelligence. We argue that prevailing discussions of AI literacy overemphasize technical or functional competencies while underemphasizing the social, cultural, political, and communicative systems in which AI operates. Drawing on previous research, we define AI literacy as knowledge of the technical, social, and ethical dimensions of AI-mediated content production, distribution, and consumption, along with the critical capacities needed to exercise agency within those processes. We show how the 5Cs can be reinterpreted for generative AI environments and integrate pedagogical implications for …

Decoupled Multi-Objective Optimization For Document Generation Using Intermediate Representations, Pinkesh Badjatiya

Defensive Publications Series

Generating long-form documents from large, diverse data sources can present challenges for some generative systems, which may exhibit unstable optimization and difficulty isolating various error types, such as factual hallucination or poor evidence selection. A disclosed technology can address these potential issues using a decoupled, two-stage framework. An offline stage can perform multi-objective optimization by distilling source data and a candidate draft into intermediate representations for selection salience, informational semantics, style, and factual provenance, which can provide granular feedback for refining generative prompts. In an online stage, these optimized prompts can be compiled for efficient, low-latency document generation. This separation …

System And Automated Method For Isomorphic Concept Discovery And Cross-Domain Architectural Synthesis Via Controlled Hallucination And Reverse Constrained Mapping: Vector-Isolated Rag Pipeline And Bi-Directional Optimization Loop For Open-Domain Structural Analogy Generation., Herbert Gillis

Defensive Publications Series

An automated data processing system and computer-implemented method are disclosed for programmatically synthesizing novel structural architectures in a vacant target domain space utilizing the invariant physical or structural laws of a highly validated source domain. The system executes a generative forward loop by extracting an ordered tuple of structural and functional mechanics from a source domain, removing forward-validation lexicon filters, and enforcing aggressive semantic isolation and lexical pruning to block known industry-specific terms. Forced into a vector space void, an optimization engine or generative model synthesizes a structurally constrained neologism and an associated set of invented mechanisms. The system then …

The Normative Canons Of Criminal Law, Brian G. Slocum

Vanderbilt Law Review

The rule of lenity is an ancient maxim directing that ambiguities in criminal statutes be interpreted in favor of defendants. Courts rarely rely on the rule of lenity, though, and its future is currently being debated. Justice Kavanaugh argues for its elimination, even as Justice Gorsuch argues for it to be strengthened. Most commentators agree with Justice Gorsuch, typically advocating that the rule of lenity be made more powerful. This Article argues for a different approach: The rule of lenity can be strengthened by limiting it to resolving linguistic ambiguity. 

This Article explains why the rule of lenity plays an …

Using Scenario-Based Generative Ai In A Social Studies Methods Course, Timothy Lintner, Ellis Reeves

The Councilor: A National Journal of the Social Studies

Artificial intelligence (AI) is quickly transforming the landscape of educator preparation. This shift is especially evident in social studies. As emerging technologies like AI reshape how social studies is taught and learned, it is essential to incorporate them into course design and student outcomes. Simply put, we must ensure that the next generation of social studies educators can effectively use AI to create real-world, scenario-based learning experiences that foster inquiry and encourage student action-taking. This article examines how AI-supported, scenario-based learning was strategically integrated into a secondary social studies methods course at the University of South Carolina Aiken. From concept …

The People’S House And Public Trust, Alberto P. Lopez

NULR Online

No abstract provided.

The Verney Family And Their Guitars In France And England, 1643–53, Christopher Page

Soundboard Scholar

The five-course guitar was a fundamental resource for the Verney family from 1643 to 1653 as they sheltered in France, avoiding their creditors and escaping the state of civil war at home in England. Their papers from that period, comprising many thousands of letters and financial accounts, show them hiring a guitar-master, ordering new guitars in Paris and debating the relative benefits of lessons for their eldest son on the guitar as opposed to the lute. This article reproduces the key documents and considers the music that the Verneys may have played. The papers particularly show how an instrument often …

Book Review: Creating A Sense Of Belonging For Immigrant And Refugee Students, Emma L. Johnson

Virginia English Journal

This review examines Creating a Sense of Belonging for Immigrant and Refugee Students, by Mandy Manning, Ivonne Orozco Sahi, Leah Juelke, and Sarahí Monterrey, which explores strategies to foster inclusive classroom communities that support newcomer and multilingual learners. The authors argue that belonging is foundational to students' academic success and outline personal anecdotes that influenced the authors' instructional methods. This review considers the book's key themes: community-building practices, culturally sustaining pedagogy, and the role of schools in supporting students navigating displacement and resettlement. It evaluates the text's anecdotal evidence as support for expanding the ELA curriculum to better serve …

From Pack Horse Librarians To Large Language Models: Grounding Ai Literacy In Appalachian Place And Community, Amanda Biviano, Anna Marie Rayne, Paige Hubbard, Maya Alvarez, Brooke Stiles, Isabella Giocondo

Virginia English Journal

As artificial intelligence reshapes literacy education, teachers face the challenge of preparing students to engage critically with new technologies while honoring the cultural and community knowledge they bring to the classroom. This article proposes a critical, place-based pedagogical framework rooted in rural Appalachian literacy traditions as a means of guiding students toward reflective engagement with AI — particularly large language models (LLMs). Drawing on the theoretical foundations of Freire's critical pedagogy, Giroux's cultural literacy framework, and place-based education, we examine historical Appalachian literacy practices as models for resisting the standardizing and dehumanizing tendencies of AI-generated writing. We then outline a …

A Media Literacy Approach To Ai In Secondary Ela, Matthew Korona

Virginia English Journal

The rapid integration of generative artificial intelligence (AI) into academic, civic, and personal contexts requires students to develop the skills and dispositions necessary for ethical and critical engagement with AI‑mediated texts. While AI literacy is often framed as a technical competency associated with computer science, this paper argues that secondary English language arts (ELA) classrooms are uniquely positioned to support AI literacy through media literacy practices. Drawing on constructivist pedagogy, existing research on media literacy and AI literacy, and the Virginia English Standards of Learning, the article presents a framework that aligns core media literacy competencies with human–AI interaction. To …

The Vinaya Piṭaka As Training Corpus For Rule-With-Exception Reasoning In Ai Systems: Training Data And Evaluation Benchmarks For Rule Application And Exception Handling In Large Language Models, Thon Ly

Defensive Publications Series

Large language models are trained on corpora rich in mathematical proof, code, scientific argument and dialogue, and their rule application is measured by benchmarks for statutory, legal, moral-exception and defeasible reasoning. This paper describes a training-data and evaluation design for one part of that capability, applying a rule to a new case while recognising when the rule does not apply, built from the Vinaya Piṭaka, the monastic legal code of the Theravāda Buddhist canon. The Vinaya's rule-by-rule analysis, the Suttavibhaṅga, treats each rule it analyses in a recurring order: the case that prompted the rule; the rule text and any …

Active Artificial Intelligence Coprocessor, Side-Channel Shielding, And Cryptographically Bound Detachable Accessory For Mobile Devices, Google Case Managers Picozzi, Chaitanya Athaley

Defensive Publications Series

An active, hardware-software co-designed detachable accessory cryptographically couples with a host mobile device to securely offload and accelerate on-device machine learning execution, such as Large Language Models (LLMs). Governed by a kernel-level host execution scheduler, the system partitions model inference across host and auxiliary Neural Processing Units (NPUs) using asymmetrical speculative decoding to reduce inter-device communication overhead. To resolve mobile thermal and electrical limitations, the architecture integrates active Peltier cooling, dynamic tensor quantization scaling, and prefill-synchronized power shaving to protect host battery health and maintain sustained performance. System integrity and privacy are protected via a host secure enclave key escrow …

Social Media Use And Health Literacy Among Patients With Multiple Sclerosis In Saudi Arabia: A Cross-Sectional Study, Alaa Mohammad Arafah, Fatima Kherdm, Remas Alharbi, Noor Baswaid, Badr Fahad Alduqsi, Fayaz Khan

Journal of Medical Rehabilitation Science

Background: Health literacy (HL) plays a critical role in managing chronic conditions, as it empowers patients with MS to effectively access, understand, and apply health information to improve their well-being. With the rising prevalence of MS in Saudi Arabia, understanding the role of social media in health communication and its relationship with the health literacy of patients with MS is essential.
Objectives: This study aimed to estimate the health literacy levels among patients with MS in Saudi Arabia and investigate association between social media use and level of health literacy.
Methods: A cross-sectional study was conducted among 110 adult patients …

Beyond Screening In Amyotrophic Lateral Sclerosis: A Domain-Standardized, Measure-Flexible Framework For Comprehensive Neuropsychological Assessment, Etiane Navarro

Archives of Assessment Psychology

Amyotrophic lateral sclerosis (ALS) is a multisystem neurodegenerative disorder in which cognitive, behavioral, language, and social-cognitive changes may occur across clinical phenotypes, including the ALS-frontotemporal spectrum. Neuropsychological assessment is important for characterizing nonmotor manifestations and identifying changes relevant to autonomy, everyday functioning, and clinical management. This systematic review examined literature identified through APA PsycINFO, PubMed, Google Scholar, and supplementary searching to characterize neuropsychological domains, measures, phenotype-related findings, and disease-specific limitations relevant to comprehensive assessment. Two hundred records underwent title and abstract screening, 150 reports were reviewed in full text, and 61 resources were retained for synthesis. ALS-specific screening instruments, including …

Machine Learning Models For Estimating The Consumed And Remaining Useful Life Of Haul Trucks In An Open-Pit Mine In Peru, Marco Cotrina, Jairo Marquina, Mario Sandoval, Jose Mamani, Johnny Ccatamayo

Journal of Sustainable Mining

The purpose of this study was to develop a machine learning-based model to predict the consumed useful life and estimate the remaining useful life of haul trucks in an open-pit mining operation in Peru. A comparative analysis of multiple machine learning models was conducted, including multiple linear regression (MLR), random forest + PSO, support vector regression (SVR), gradient boosting machine (GBM), decision tree + PSO, and artificial neural networks (ANN-MLP). The models were evaluated using performance metrics such as R², RMSE, and MAE, selecting the optimal model to estimate the remaining useful life based on a theoretical lifespan …

Development Of A Spectral Index And Web Application For Automated Marble Quarry Monitoring: A Sentinel-2 Based Approach For Change Detection And Monitoring, Konstantinos Ntouros, Vasileios Drimzakas - Papadopoulos, Georgios Gkologkinas, Georgios Ntouros, Dimitrios Markou

Journal of Sustainable Mining

This study introduces an automated workflow to monitor marble quarry operations using Sentinel-2 satellite data, providing a cost-effective and efficient tool for regulatory oversight focused on environmental sustainability. At the core of this workflow is the Quarry Change Detection Index (QCDI), a new spectral index specifically developed to leverage the unique spectral characteristics of quarry sites, enhancing the detection of land cover changes associated with quarry expansion. To facilitate practical application, a web-based tool was developed using Google Earth Engine and Streamlit. The user-centric design of this platform features an intuitive interface, allowing users to easily select parameters, visualize data, …

Assessing The Ability Of A Large Language Model To Perform Recall Searches Of Archival Finding Aids, Will J. Gregg, Perry Gowdy

Journal of Contemporary Archival Studies

This study assesses the ability of a large language model (LLM) to identify archival collections that fit a given research topic, known as recall searching, through searching finding aids. Recall searching can be a time-consuming and difficult process that relies on trying various combinations of keywords. Using retrieval-augmented generation (RAG), a technique that enhances the reliability of an LLM by allowing it to reference a specific external dataset, the authors created a tool whereby an LLM answers queries related to more than 4,000 finding aids. The study assessed the performance of this tool by asking it to find collections related …

Technical Disclosure Specification: Spec-187-Master The Co-Harmonic Fabric: Integrated Ternary Namespaces And Solid-State Topological Mesh Panel Chassis For Harsh Environment Exascale Engines, Christopher L. Eckes

Defensive Publications Series

This master engineering specification establishes the structural, mathematical, and electrical blueprint for a non-von Neumann computing topology that completely dissolves the traditional boundary between software execution namespaces and physical hardware substrates. By structuring the computational fabric into an array of sub-microscopic Co-Harmonic Nodes (CHNs) operating within a native Ternary Hilbert Sub-Space (d=3), this architecture eliminates text-token translation bottlenecks and the classical data bus. Software states are represented as continuous multi-dimensional tensor fields that instantly manipulate and are modulated by the physical lattice strain profiles of the silicon via localized piezoelectric thin-films.

To safeguard this continuous wave fabric against extreme environmental, …

A Historian And A Sociologist Walk Into A Bar: A Data Archive For Social Sciences And Digital Humanities Hosted At A National Archives Institution, Benjamin Peuch, Oliver Lenaerts, Rolande Depoortere, Johan Van Der Eycken, Youssef Ouahalou

Journal of Contemporary Archival Studies

In October 2020, a new service was launched at the State Archives of Belgium, the Social Sciences and Digital Humanities Archive (SODHA). It is the result of several years of feasibility research into the viability of a data archive for social sciences and digital humanities in the research landscape of Belgium. SODHA acts as a service provider for the Consortium of European Social Science Data Archive (CESSDA ERIC) and takes up the task of preserving and disseminating research data in any of the disciplines that constitute the aforementioned fields.

SODHA is a latecomer compared to other similar organizations in Europe …

Going Organic: Capturing The Patient Voice To Inform Patient-Driven Interventions And Outcomes, Wendy R. Trueblood Miller

International Nursing Research Congress (INRC)

This presentation describes a novel approach for embedding the organic patient voice into intervention design through analysis of patient-generated data. By leveraging social media and other naturally occurring narratives, this method captures patient identified concerns authentically, revealing priorities often missed by traditional approaches. Examples from epilepsy and other chronic conditions demonstrate how this work informs scalable, patient driven self management tools and outcomes.

Navigating Text-To-Speech (Tts): Ethical Leadership In The Use Of Generative Ai For Extension, Xue A Dong, Paul A Hill

Journal of Extension

Text-to-speech (TTS) AI technology transforms written content into natural-sounding speech, offering a useful tool to enhance accessibility and inclusivity in Extension work. This article examines the role of TTS AI in bridging communication gaps, particularly for diverse and multilingual communities, and demonstrates the importance of ethical leadership in its adoption. By prioritizing diversity, equity, and inclusion, Extension professionals can leverage TTS AI to foster greater connection and engagement. Practical applications and examples are provided to guide the integration of TTS AI into programs. The article also offers recommendations for experimenting with innovative technologies to improve educational outcomes and increase the …

Language As A Strategic Security Resource: Criminological Perspectives On Collective Efficacy, Cultural Security, And Community Resilience, Declan Onwudiwe

African Journal of Criminology and Justice Studies

Language is typically examined as a medium of communication, identity formation, cultural transmission, and education. This article advances a broader argument: language should also be understood as a strategic security resource and a significant criminological variable. Drawing on collective efficacy theory, societal security scholarship, linguistic relativity, decolonial language theory, and ethnolinguistic vitality theory, the article argues that language can facilitate social cohesion, informal social control, intelligence gathering, conflict resolution, procedural legitimacy, and community resilience. Indigenous African languages serve as repositories of historical memory, customary law, social norms, and security-relevant knowledge that may contribute to public safety and social order. The …

Differences In Sustained Attentional Engagement With Emotional Targets In Individuals Reporting High And Low Worry, Jinu J. Mathew

Clinical Psychology Dissertations

Attention bias towards emotionally salient or threatening information has been well documented across various populations, and it has been thought to contribute to the development and maintenance of anxiety. While previous research has identified early-stage attentional differences in individuals reporting elevated anxiety symptoms, less is known about how worry might impact later-stage processes involving sustained attentional engagement and visual working memory. The present study examined behavioral and electrophysiological indices of attentional processing during a modified visual search task in individuals reporting high compared to low levels of worry. Sixty-eight participants were recruited and classified into high and low worry groups …

Artificial Intelligence As A Tool To Enhance High-Leverage Practices In Special Education, Kanisha Porter, Viveca Grant Ed.D., Delilah A. Gonzales

The Journal of the Research Association of Minority Professors

Special education teachers face instructional, documentation, and compliance demands that often impede the fidelity of High-Leverage Practices (HLPs). While HLPs are central to promoting positive academic and behavioral growth for students with disabilities, a significant research-to-practice gap persists because educators lack the time and resources to implement these evidence-based strategies consistently within increasingly complex classrooms. Artificial intelligence (AI) offers emerging opportunities to mitigate systemic burdens by serving as a collaborative partner rather than a replacement for professional judgment. This manuscript examines AI’s potential to enhance HLP implementation across the domains of instruction, data-driven practice, collaboration, and intensive intervention. Drawing upon …

Beyond Intent: Teacher Capacity, Opportunity To Learn, And The Persistence Of Math Equity Gaps In Tennessee (2000-2025), Soso Dede

The Journal of the Research Association of Minority Professors

For a quarter-century (2000–2025), Tennessee pursued mathematics reforms aiming for equity, yet stark racial and socioeconomic achievement gaps endure. Framed by Opportunity to Learn (OTL) and Mathematical Knowledge for Teaching (MKT), this study investigates the intersection of equity, teacher capacity, and policy. By synthesizing assessment data, program evaluations, policy documents, and research literature, this study reveals that systemic OTL inequities—disparate access to quality instruction, adequate resources, and teachers possessing strong MKT—are primary drivers of these enduring gaps. Such inequities deny marginalized students a fair chance at mathematical proficiency. The interplay between OTL and MKT is critical: inadequate OTL constrains knowledgeable …

Kesalahan Berbahasa Indonesia Penutur Rusia Non-Imersi Di Tiktok Dan Instagram: Antara Interferensi Dan Register Kolokial, Dyah Ayu Larasati

Journal of Language, Literature, and Arts

This study aims to describe patterns of Indonesian language errors produced by a Russian speaker in social media content on the @marielle.world account and to identify the factors contributing to these errors. This descriptive qualitative study examined five posts, comprising one Instagram post and four TikTok posts. Data were collected using non-participant observation and note-taking techniques and analyzed through a five-stage language error analysis procedure. The findings identified 68 instances of deviation, classified into two analytical categories. First, 28 non-native errors resulted from interference and incomplete mastery of Indonesian linguistic rules, predominantly phonological errors (22 instances), followed by the omission …

Strategi Kebahasaan Dalam Representasi Gender Feminin Pada Iklan Produk Kecantikan Di Tiktok Indonesia, Zulfa Maya Ramadhani, Afkarina Fajriatul Khasanah, Nida Baikah, Roekhan Roekhan

Journal of Language, Literature, and Arts

TikTok has become a digital communication space for promoting products while constructing representations of identity and gender. This study examines linguistic strategies in the representation of femininity in beauty product advertisements on TikTok Indonesia. It employs a qualitative descriptive method using Feminist Critical Discourse Analysis (Feminist CDA). The data consist of verbal elements from advertisements by Scarlett Whitening, Wardah Beauty, and Natur-E, analyzed in terms of lexical choices, grammatical structures, persuasive forms, and rhetorical strategies. Data analysis involved data condensation, data display, and conclusion drawing and verification. The findings indicate that linguistic strategies construct femininity through associations among beauty, self-confidence, …

From Strategic Ambiguity To Operational Alignment: Neuro-Symbolic Ai As A Communication Infrastructure For Translating Business Value, Cedric Roland Berger, Joachim Dehais

Global Advances in Business Communication

Large-scale transformation programs routinely fail, and the explanations typically point to governance, leadership, or technology. This article argues that a deeper cause is often overlooked: the failure to preserve shared meaning as strategy travels through the organization. Concepts like "value", "innovation", "transformation" or "business impact" anchor executive discourse but remain under-specified where execution happens. Drawing on the distinction between meaning as formal reference and meaning as contextual use (Wittgenstein, 1953), and building on sense-making and communication-as-constitutive-of-organization research, we frame strategic misalignment as a breakdown in how meaning is translated across organizational levels. We call the cumulative effect a semantic drift …

The University Standard: March 8, 1993

The University Standard Newspaper Collection

Volume 2, Number 10 of the University Standard published on March 8, 1993.