generative ai

Shared leadership and ai-enabled contingency planning in Ukrainian firms during the 2022–2025 war

The full-scale invasion of Ukraine by the Russian Federation, which began in February 2022, caused acute and long-term disruptions in the activities of Ukrainian companies, forcing them to quickly rebuild their organizational structures, decision-making mechanisms, and planning practices. This article offers a conceptu...

Dataset for paper "Generative AI in a large undergraduate statistics course: Prevalence and patterns of student use"

Generative AI and Human Conversational Partners in Second Language Learning: A Mixed-Methods Systematic Review and Meta-Analysis of Interactional Moves, Learner Output, and Language Outcomes

Institutional and academic determinants of ChatGPT adoption in higher education: evidence from a resource-constrained university context

This study examines the determinants of students’ use of ChatGPT as a learning support tool at a public local university located in a resource-constrained, mountainous region of northern Vietnam, characterised by socioeconomic disadvantage and limited access to educational resources. Drawing on survey data from 906 und...

Underpinning Dataset: UX Prompt Expertise in AI-Generated Interface Design

This dataset was generated from a study examining differences between novice and expert prompting approaches. Thirty designs were created and subsequently evaluated by two design experts and Generative AI (GenAI), enabling a comparison between human and AI-based assessments. The analysis focused on key design principle...

Operation Dark Clark: AI‑Enabled Russian Disinformation in Latin America and the Campaign to Shape Brazilian Politics (2020–2026)

This thesis reconstructs and critically evaluates Operation Dark Clark, a Russia-origin influence operation that OpenAI reportedly disrupted and publicly documented on 8 October 2026. It assesses the operation as the first influence campaign ever classified by the company in Category 5 of the IO Breakout Scale—its high...

Challenges and the Repositioning of Islamic Religious Education Teachers in the Era of Artificial Intelligence (AI): A Perspective from Islamic Epistemology

Artificial intelligence (AI), particularly generative AI, is reshaping how students access, produce, verify, and communicate information, raising questions about source authority, adab, values, and character formation in Islamic Religious Education (IRE). This study examines the challenges facing IRE teachers and propo...

The Thermodynamic and Financial Reality of AI Power Starvation: Rider's Bremsstrahlung Limit in Pulsed D-3He Fusion, Tokamak REBCO Supply-Chain Scaling, PJM/FERC Queue Bottlenecks, and Hyperscale Stranded-CapEx Risk

By 2026, generative artificial intelligence (AI) infrastructure expansion has collided with hard physical and grid-regulatory walls. International Energy Agency (IEA) projections indicate global data center electricity consumption surging from 460 TWh (2024) to > 1,000 TWh by 2030 (~320 Mt CO2/yr) and 1,300 TWh by 2035...

Agentic Influence Operations: A Multi-Dimensional Governance Framework for Generative AI-Enabled Information Disorder in Multimedia Ecosystems

Generative artificial intelligence (GenAI), synthetic media, social bots, and agentic AI are turning information disorder from a content-verification problem into a governance problem for multimedia information ecosystems. Research on fake news, deepfakes, GenAI misuse, and cyber-enabled influence has developed in larg...

apscrna_public v1.0: analysis code and result tables for "Inflammatory activity poorly predicts tissue-forming transcription in stromal cells of human apical periodontitis"

Code, logs and result tables for the manuscript "Inflammatory activity poorly predicts tissue-forming transcription in stromal cells of human apical periodontitis". The archive (apscrna_public_v1.0.zip) contains the complete analysis pipeline used to reprocess public single-cell RNA-sequencing data from eight human chr...

Generative Resonance Macroeconomics: A Theory of Economic Emergence, Crystallization, Stagnation, and Reopening ー A Unified Theoretical Framework · October 2026 ー From the Preservation of Economic Structures to the Reproduction of Generative Possibilities

Generative Resonance Macroeconomics (GRM) Ⅰ. Short Description Generative Resonance Macroeconomics (GRM) proposes a theoretical framework that redefines economic sustainability as the continuous regeneration of future economic possibilities rather than the indefinite preservation of existing structures. Integrating gen...

CATEGORY-BASED PROMPT CONSTRUCTION FOR ARTIFICIAL INTELLIGENCE IN EDUCATION: A PEDAGOGICAL PROMPT ENGINEERING MODEL AND WEB TOOL

This article proposes a pedagogical model, and a web tool built on it, for constructing prompts by educational material category so that teachers and researchers can work effectively with artificial intelligence (large language models). The relevance of the study stems from the fact that the quality of a generative mod...