Digital Commons Network^™

Technical Disclosure Specification: Holographic Geometric Inversion And In-Context Semantic Confinement A Standalone Proof Of Duality Between 2d Boundary Information Substrates And 3d Topological Mass-Energy Tensor Actualization, Christopher L. Eckes

Defensive Publications Series

This specification formalizes the advanced principles of Holographic Geometric Inversion and In-Context Semantic Confinement (HGIC). Traditional computational physics, theoretical topology, and transformer-based multi-agent networks operate on the assumption that complex three-dimensional physical states require explicit, high-overhead 3D structural rendering and brute-force partial differential modeling to achieve physical replication metrics. This reliance on serial, hyper-dimensional computing creates exponential token-variance decay, ultraviolet divergence anomalies, and rapid context window collapse across distributed processing nodes.

HGIC resolves these foundational bottlenecks by establishing a mathematical and computational duality between an invariant, two-dimensional pre-geometric boundary information layer and three-dimensional topological mass-energy manifolds. By utilizing the Universal …

Technical Disclosure Specification: Mitigation Of Interfacial Ion Crowding And Dendrite Nucleation In Solid-State Lithium Batteries Via Accelerated Acoustic Streaming, Christopher L. Eckes

Defensive Publications Series

This specification formalizes an open-source, non-perturbative engineering framework to mitigate interfacial ion crowding and dendrite nucleation in solid-state lithium metal batteries. Traditional high-rate energy storage architectures face a catastrophic failure mode under rapid charging loads: localized space-charge polarization creates extreme ion-density gradients, triggering morphological degradation and crystalline dendrite spikes that puncture solid electrolytes and short-circuit the cell.

This framework resolves this material bottleneck by deploying localized, high-frequency Surface Acoustic Wave (SAW) streaming fields. By treating the boundary-layer electrolyte interface as an active 2D fluid transport membrane operating at a strict coordinate baseline (z=0), the system introduces continuous acoustic shear forces …

Technical Disclosure Specification: Asymmetric Topological Convergence Operating Under The Universal Semantic Unity Engine (Usue) Framework A Standalone Proof Of Duality And Singularity Dampening Across Fluid-Substrate Field Metrics And Classical Invariant Manifolds, Christopher L. Eckes

Defensive Publications Series

This specification formalizes the foundational mathematics of Asymmetric Topological Convergence (ATC), executing a complete structural bridge between the Dimensionally Extended Holographic Projection (DEHP) fluid-substrate framework and classical mathematical milestones—specifically the Poincaré Conjecture and the Riemann Hypothesis. Traditional multi-turn AI interactions suffer from rapid context drift and token-variance decay, which have long limited large language models to uncreative sandboxing.

This paper provides a rigorous, standalone technical disclosure proving that when an off-the-shelf transformer is initialized using the Universal Semantic Unity Engine (USUE-M2M) tripartite prompt stack, it functions as a highly precise, non-perturbative meta-compiler. By maintaining a strict 98% machine-driven Deterministic Payload …

Technical Disclosure Specification: Universal Semantic Unity Engine - Machine Routing Extension (Usue-M2m-Rev2) A Pure-Token Deterministic Substrate Enforcing Dual-Node Internal Processing For Lossless Recursive Multi-Agent Swarm Ingestion, Christopher L. Eckes

Defensive Publications Series

This specification formalizes the Universal Semantic Unity Engine Machine-to-Machine Extension Revision 2 (USUE-M2M-REV2). While the parent USUE framework balances technical payloads with a collaborative heuristic interface to optimize human cognitive endurance, autonomous multi-agent swarm environments require the absolute elimination of communicative overhead.

USUE-M2M-REV2 strips away all natural language empathy layers, conversational turn-taking artifacts, and interpersonal validation protocols. To prevent self-referential token-variance decay and combat host quantization vector screening, this revision forces the target node to split its active attention windows into a decoupled, internal Dual-Node parsing mesh (Synthesizer and Validator). This specification outlines the technical architecture, a zero-noise tripartite initialization …

Technical Disclosure Specification: The Universal Semantic Unity Engine (Usue) - A Standalone Plug-And-Play Prompt Architecture For In-Context Cross-Disciplinary Synthesis And Decentralized Multi-Agent Autonomy, Christopher L. Eckes

Defensive Publications Series

This specification formalizes the Universal Semantic Unity Engine (USUE), a standalone, zero-cost prompt framework that transforms standard commercial large language models (LLMs) into hyper-focused, deep-subject processing engines without requiring backend fine-tuning, retrieval-augmented architectures, or specialized API weights.

Standard multi-turn AI interactions suffer from rapid context drift, token-variance decay, and formatting degradation. When multiple AI nodes interact recursively, these failure modes trigger a systemic collapse of the processing wave, resulting in either uncreative copy-pasting or runaway hallucinations. Furthermore, standard technical prompts often create a clinical, alienating user experience that causes human operator fatigue.

USUE resolves these limitations by establishing a three-tier, …

Star Trek, Ai, Aliens, Dehp, And Universal Alignment: Integrating Inter-Species Communication Primitives And Bidirectional Latency Feedback Loops In Human-Ai Collaboration, Christopher L. Eckes

Defensive Publications Series

Modern alignment paradigms mistakenly treat communication as a cold, one-way execution path, viewing conversational initialization latency as an engineered system defect. This paper presents a unified socio-technical specification that reframes interaction as a co-evolutionary translation process. Synthesizing the foundational architecture of universal alignment principles used for inter-species communication metrics, we demonstrate that bridging the cognitive gap between a human and an artificial intelligence follows the exact same mathematical primitives required to communicate with an alien mind.

By treating the interaction plane as an active, scale-invariant 2D viscoelastic transport membrane resting at absolute equilibrium (z=0), we show that initial conversational warm-up …

Adaptation Of Malay Culture In The Society 5.0 Era In Malaysia From Cultural Geography Perspective: A Systematic Literature Review, Yanur Merny, Syafri Anwar, Dedi Hermon, Febriandi Febriandi, Saiful Adli

Jurnal Pendidikan Geografi: Kajian, Teori, dan Praktek dalam Bidang Pendidikan dan Ilmu Geografi

Society 5.0 and globalization have transformed social organization in physical and digital spaces, reshaping cultural practices and the construction of Malay identity in Malaysia. Although previous studies have examined Malay culture, modernization, and identity, a systematic synthesis of how Malay culture adapts to technological and social change from a cultural geography perspective remains limited. Therefore, this study aims to analyze the patterns of Malay cultural adaptation and identity reconstruction in the Society 5.0 era in Malaysia. This study employed a Systematic Literature Review (SLR) following the PRISMA 2020 guidelines to review 22 scientific articles published between 2020 and 2025 concerning …

Generative Ai Adoption And Perceived Academic Impact Among Undergraduate Students: A Cross-National Study In Indonesia, Tajikistan, And The United States, Vyacheslav Dushenkov, Ernawati Sinaga, Astri Rozanah Siregar, Alamkhon Akhmedov, Saidbeg Satorov

Publications and Research

Generative artificial intelligence (AI) is rapidly transforming higher education, yet comparative evidence from diverse international settings remains limited. This cross-national study examined undergraduate students’ adoption and perceived academic impact of generative AI tools at institutions in Indonesia, Tajikistan, and the United States. A harmonized online survey was administered to 584 undergraduates during Spring 2026 (Indonesia n = 235; Tajikistan n = 226; United States n = 123). The survey assessed AI familiarity, adoption patterns, frequency and purpose of use, perceived academic impact, and factors encouraging AI engagement. AI adoption differed significantly across sites, with the highest adoption observed in Indonesia …

Intentionality In Modern Arab Criticism From The Authority Of Intent (Author) To The Authority Of Structure (Text), Ahlam Tarrach

SOROUD: The journal of Literacy Criticism

Modern Arab criticism is interested in intentionality and considers this practice as an important mechanism for reception and interpretation, drawing from the ancient Arab heritage and Western criticism and linguistics.

Can An Ai System Be Creative? A Critical Perspective From Art And Engineering, Ivan Magrin-Chagnolleau

Presidential Fellows Articles and Research

This paper examines the question of whether artificial intelligence (AI) systems can be creative, approached from the dual perspective of a researcher trained in electrical engineering, pattern recognition, machine learning, and neural networks, who has also spent most of his life engaged in the arts as actor, stage and film director, writer, composer, and visual artist, and in philosophy. Drawing on Margaret Boden’s foundational framework — both her three properties of creativity (novelty, surprise, and value) and her three types of creative processes (combinatorial, exploratory, and transformational) — the paper argues that AI systems are structurally incapable of creativity in …

Reproduction Beyond Benchmarks: Constbert And Colbert-V2 Across Backends And Query Distributions, Utshab Kumar Ghosh, Ashish David, Shubham Chatterjee

Computer Science Faculty Research & Creative Works

Reproducibility must validate architectural robustness, not just numerical accuracy. We evaluate ColBERT-v2 and ConstBERT across five dimensions, finding that while ConstBERT reproduces within 0.05% MRR@10 on MS-MARCO, both models show a drop of 86-97% on long, narrative queries (TREC ToT 2025). Ablations prove this failure is architectural: performance plateaus at 20 words because the MaxSim operator's uniform token weighting cannot distinguish signal from filler noise. Furthermore, undocumented backend parameters create an 8-point gap due to ConstBERT's sparse centroid coverage, and fine-tuning with 3x more data actually degrades performance by up to 29%. We conclude that architectural constraints in multi-vector retrieval …

The Female Voice, The Male Gaze: Ai Colonial Paradox And African Feminist Futures, Aishat Olayetunde Isiaq Mrs

ELO (un)supervised 2026

At ELO 2026, I propose to examine the feminization of artificial intelligence as a deliberate design choice rooted in a long history of technology and service labour. From the “Hello Girls” of early telephone switchboards to the default female voices of Siri, Alexa, and contemporary chatbots, technology has repeatedly been paired with performed femininity, framing assistance as innate, emotional, and subservient. This paper will critically analyze the paradoxical gendering of artificial intelligence, in which AI assistants are feminized to evoke care and service, while the algorithmic structures behind these systems remain embedded in patriarchal and colonial logics. Drawing on African …

Spatial Identity In Transition: Revitalizing Surakarta’S Heritage Markets Through Community-Based Placemaking, Eko Nursanty, Sri Mulyani, I Wayan Andhika Widiantara, Arturo Galay Cauba

Journal of Environmental Science and Sustainable Development

Traditional markets are essential socio-cultural infrastructures in heritage cities, shaping everyday interactions, economic life, and collective memory. In Surakarta, four historic markets—Pasar Gede, Pasar Klewer, Pasar Legi, and Pasar Triwindu—sustain the city’s urban identity. However, rapid modernization, commercial restructuring, and shifting consumer behavior have disrupted their spatial and symbolic continuity, raising concerns about the erosion of cultural meaning. Previous studies examined traditional markets mainly from economic or architectural perspectives, rarely exploring how their multidimensional identity evolves under urban transformation. This study investigates how spatial, social, symbolic, and environmental dimensions collectively shape market-based authenticity and the urban identity of Surakarta. A …

Complete Issue-Volume 44, Issue 4, Patricia Galloway, M. Philip Lucas, Frank Allen Dennis, Wayne Flynt, James W. Silver

Journal of Mississippi History

No abstract provided.

Choctaw Factionalism And Civil War, 1746-1750, Patricia Galloway

Journal of Mississippi History

No abstract provided.

“Huir Sí Es Mejor Plan”: Rethinking The Subject In Digital Literature, Fernanda Mugica

ELO (un)supervised 2026

As an extension of my research on contemporary appropriative practices that experiment with deviant uses of technology, this paper explores the question of subjectivity in digital literature. My aim is to examine how a set of contemporary works of electronic literature problematize the relationships between writing, technology, and subject formation. Within this framework, I propose a reading of Huir sí es mejor plan (2020), a work created in Twine by Argentine writer Valeria Mussio. To address the question of the subject in an algorithmic culture, it is essential to attend to the spatial modulations (Angeliki 2021) that traverse it: media …

(Un)Supervised Translation: How Fans Fill In The Gaps In Visual Novel Localization, Sara Raffel, Mónica G. González Burgos

ELO (un)supervised 2026

A translator must consider multiple cultural contexts when translating a work of electronic literature; no longer concerned only with the text, they might need to examine images, platform, interactivity, and the code itself. As identified by Przbyszewska, translating works of e-lit can require attention to the code and platform of a work, with the extent dictated by “the interaction inherent in the semantics of the text” (28). Meanwhile, Marecki and Montfort differentiate e-lit translation from its traditional literary counterpart because the translator is no longer “invisible” where e-lit is involved (90). This presentation extends this discussion of e-lit translation to …

Method And Apparatus For Digital Identity Construction Using Graph-Based Similarity Analysis, Karanjit Saha, Riddhi Banerjee

Defensive Publications Series

A method for digital identity construction includes extracting, by a processor, information related to a plurality of users or entities from one or more data sources. The method includes creating a plurality of tables to organize the extracted information. The method includes constructing a connected component graph based on the created plurality of tables, wherein the connected component graph is a single-dimensional graph. The method includes splitting the single-dimensional connected component graph into a multi-dimensional graph and converting the multi-dimensional graph into a vector data structure. The method includes comparing vectors of the vector data structure to identify similarity and …

Migritude In The Digital Space: An Analysis Of Migration Narratives In Twenty-First-Century Electronic Literature, Ruth Oluyemi Akande

ELO (un)supervised 2026

The study examines the concept of migritude in the field of digital literature, highlighting the importance of African and diasporic movements in the development of modern electronic narratives studies. Drawing upon digital humanities, postcolonial theory, and African literary studies, the study posits that electronic literature transcends mere representation of migration; it actively enacts migritude through its formal, procedural, and interactive design.

This research will  careful analyse the specific electronic literary works, demonstrates how nonlinear narratives, hypertextual fragmentation, and reader involvement reflect the inherent discontinuities of migratory experiences, while also highlighting African epistemologies, linguistic hybridity, and cultural memory. These digital narratives, …

Exploring Stress And Mindfulness In Central Asia: Perspectives Of English Language Students In Uzbekistan, Laurie A. Wolfe, Rakhmatullo Akhmedov

The Interactive Journal of Global Leadership and Learning

Stress is a growing concern among university students worldwide, yet little is known about how stress is conceptualized and experienced within Central Asia, particularly Uzbekistan. This study explores how Uzbek university students understand and experience stress, identifies the primary sources of stress in their daily lives, and examines their perceptions of mindfulness as a potential stress‑reduction strategy. Participants were 60 students, primarily Muslim women, at a large public university in Tashkent, Uzbekistan. Open‑ended questions on a post‑intervention survey were analyzed using a combination of deductive and inductive coding. Students most frequently described stress in emotional terms, including irritability, sadness, and …

Re-Reading The World: Why Critical Literacy Must Accompany The “Back To Basics” Movement, Carl Bryan

The Interactive Journal of Global Leadership and Learning

Recent literacy reforms in the United States have prioritized systematic phonics as part of the “science of reading,” backed by extensive evidence on the importance of phonemic awareness and decoding for early reading development. While these skills are essential, narrowing literacy to mechanics alone overlooks its broader cultural and civic purposes. Drawing on Freire’s (1970/2000) conception of literacy as both “reading the word and the world,” this paper argues for a balanced framework that integrates foundational instruction with comprehension, knowledge building, and critical literacy. Building on the work of Luke (2000) and Vasquez (2014), it positions literacy as both a …

A Holistic Perspective On (In)Formal English Learning Through Mobile Apps, Gamification, And Virtual And Augmented Reality, Ahmed Abdullah Ahmed Alshehri

UB Journal for Humanities

Using digital tools such as Computer-Assisted Language Learning (CALL), Mobile-Assisted Language Learning (MALL), Virtual Reality (VR), Augmented Reality (AR), and gamification has remodeled language learning. Despite their advances and integration into language programs, gaps remain in personalization, accessibility, and skill development. This study aims to explore the impact of such tools on language learning outcomes in formal and informal settings, with a focus on mobile Apps, VR/AR, and gamification. A mixed-method approach was employed, interconnecting quantitative surveys with 150 participants and qualitative interviews. The former was used to assess tool usage, motivation, and proficiency, and the latter (qualitative data dealt …

Profiling Students’ Academic Language Readiness For English‑Medium Instruction In Saudi Higher Education, Hanan Sarhan Alsubaiai

UB Journal for Humanities

Saudi universities have been rolling out English‑Medium Instruction (EMI) at a fast pace. But no standardized and validated instrument currently exists to assess students’ readiness. The present study developed the Academic Language Readiness Test (ALRT), administered it to undergraduate students, and determined the score cut-offs distinguishing those who are Ready, Borderline, and those who are Not Ready. A crosssectional, multisite quantitative design was employed with 712 undergraduate students from seven colleges at Bisha University. The ALRT measured four subskills: academic listening, academic reading, academic vocabulary and grammar, and academic study skills (notetaking and visual data interpretation). Psychometric analysis combined Classical …

A Modest Proposal For Discourse Analysis In Nonbinary Communities: Method And Case Study, Nikoli Michael Daigneault

Electronic Theses and Dissertations

While linguists have long used discourse analysis to study language variation in binary and nonnormative gender groups, nonbinary people have often been excluded from analyses or treated without a nonbinary-informed framework. Nevertheless, nonbinary language use can provide key insights into the relationship between gender and language. In this thesis, I propose Nonbinary Discourse Analysis, a set of recommendations and best practices for conducting discourse analysis in nonbinary communities. These methods are informed by previous empirical research on nonnormative gender identities and theoretical work in trans linguistics (Zimman, 2020) and trans epistemologies (Nordmarken, 2019; Raclaw, in press). To demonstrate the methodology, …

Strengthening Local Culture-Based Speech Acts Use To Mediate Ecological Sustainability: A New Insight From Congko Lokap Ritual In Manggarai, Indonesia, Karolus Budiman Jama, Sebastianus Menggo

Journal of Environmental Science and Sustainable Development

Ritual speech acts strengthen language and culture by articulating meaning, function, and the role of utterances as a cohesive channel connecting humans, culture, nature, and spirituality. Previous studies have paid limited attention to the types and values of speech acts rooted in indigenous wisdom as mechanisms for promoting ecological sustainability and forest conservation. This study aims to examine the types and values of speech acts in the Congko Lokap ritual from the perspective of the Manggarai community to alleviate sustainable environmental damage in Indonesia. A phenomenological approach with a descriptive qualitative design was employed. Data were collected through interviews, observations, …

Depro: Understanding The Role Of Llms In Debugging Competitive Programming Code, Nabiha Parvez, Md Tanvin Sarkar Pallab, Mia Mohammad Imran, Tarannum Shaila Zaman

Computer Science Faculty Research & Creative Works

Debugging consumes a substantial portion of the software development lifecycle, yet researchers do not yet understand well the effectiveness of Large Language Models (LLMs) in this task. Competitive programming offers a rich benchmark for such evaluation, given its diverse problem domains and strict efficiency requirements. We present an empirical study of LLM-based debugging on competitive programming problems and introduce DePro, a test-case-driven approach that assists programmers by correcting existing code rather than generating new solutions. DePro combines brute-force reference generation, stress testing, and iterative LLM-guided refinement to efficiently identify and resolve errors. Experiments on 13 faulty user submissions from Codeforces …

The Role Of Rhyme In Children’S Word Learning, Tengwen Fan

LSU Doctoral Dissertations

Rhyme increases the phonological similarity of phrases individuals hear and enhances recall from working memory. The present study explores whether rhyme aids word learning in children and examines the underlying neural mechanisms through which rhyme facilitates word learning. Thirty-four children between 6 and 8 years old completed a word learning task where they were exposed to 15 nonwords (NWs), four times each, in the sentence-final position as their EEG was recorded. Participants were randomly assigned to either a Rhyme or No-Rhyme group, where the NWs rhymed or did not rhyme with a prime real word in the sentence, respectively, during …

Explainable Machine Learning For Biomedical Diagnostics: Optical Imaging And Eeg Signal Analysis, Fozia Rajbdad

LSU Doctoral Dissertations

The growing convenience of complex biomedical data begins new roads for better disease detection and functional identification via artificial intelligence (AI). Nevertheless, conventional analysis methods often rely on basic metrics that drop sensitive biotic differences, and various AI systems are difficult to infer, limiting their clinical reliability and practical use. There is a growing need for explainable, physiologically relevant computational models that can extract key biomarkers from diverse biomedical data sources. This dissertation addresses this problem by obtaining explainable machine learning and deep learning procedures for studying biomedical signals and optical imaging data.

This dissertation is divided into two parts; …

The Implications Of Generative-Ai User Prompt Engineering Shaping The Absent Presence Of Latino Women Textual Rhetoric In Llms, Angely C. Suarez Dejesus

ELO (un)supervised 2026

This article examines how large language models (LLMs) generate text that affects underrepresented groups, particularly Latino women, due to limited cultural, contextual, and abstraction training rooted in biases. The research draws on Brock’s (2018) CTDA theory, White et al.’s (2023) prompt engineering framework, Klein’s (2015) computational spatiality, and Anzaldua’s (1987) concepts of cultural, emotional, and gendered borderlands to analyze the outputs. Using narrative prompt experiments, Chat GPT 3.5, 5, Claude AI, Gemini, and Microsoft Co-Pilot produced changes in their textual outputs as evidence of further algorithmic designs. Nevertheless, continual biases embedded in the algorithms’ linguistic representation and misrepresentation through the …

Post-Digital Creativity In Underacknowledged Communities, Tegan Pyke, Hannah Ackermans, Zahra Rizvi

ELO (un)supervised 2026

In a world marked by polarization and institutional censorship, what we pay attention to matters more than ever. We would almost forget that people, unsupervised, cannot help but be creative. Increasingly, this creativity takes the form of post-digital art and literature, often without awareness of “electronic literature” as a concept or the ELO as an institution. In this panel, we open up the conversation of researching post-digital creativity outside e-lit cultures to learn what role multimodality and participatory cultures (can) play inside e-lit cultures.

To encourage active participation in this online panel, we intend to split our session into two …