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2,696 papers
Narrative gravity is a system-level diagnostic heuristic for explaining why some transmedia storyworlds remain coherent under platform fragmentation while others lose interpretive stability. The problem is not simply how stories circulate or whether a world possesses a stable core. It is what coherence looks like after...
This chapter examines scoring methods used in educational assessment from an epistemological perspective that focuses on how scores are generated. Accordingly, the methods are organized into three main categories: process-based scoring approaches, automated scoring, and comparative judgement. The first section discusse...
This Zenodo record is a permanently preserved version of a PREreview. You can view the complete PREreview at https://prereview.org/reviews/23181910. Major issues From the title: The phrase "drug resistance in host" is also unclear. It needs to be revised so as to reflect the paper's actual focus. The manuscript mainly...
It is demonstrated that the effectiveness of AICSR initiatives extends beyond their direct contribution to customer loyalty, revealing the interconnected mechanisms through which AI-induced CSR can generate broader customer value.
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The framework enables logistics managers to identify high-risk orders before delivery completion and to understand the operational reasons behind each alert and can support decisions such as adjusting shipment modes, extending delivery buffers, prioritizing route monitoring and allocating escalation resources.
It is argued that explainability, meticulous fairness auditing and mitigation are necessary conditions for reliable, inclusion-focused credit AI.
A unified, modular system integrating four layers: a blockchain-based transaction logging mechanism, an explainable artificial intelligence (XAI) fraud detection engine, a Mistral large language model (LLM) client for natural-language reasoning, and an AI agent for orchestration is presented.
In spring 2026, geopolitical tensions prompted the Pakistani government to mandate full online instruction (10 March–3 April 2026), followed by a hybrid schedule for the rest of the semester. This shift is treated here as an externally imposed crisis context for AI adoption, not as a natural experiment. No pre-cris...
Abstract Writer’s block remains a serious obstacle for undergraduate English as foreign language writers, particularly in low-resource Global South settings, where writing anxiety, linguistic insecurity, and unreliable internet access intensify the challenge. Researchers have shown growing interest in generative artifi...
Artificial intelligence has the potential to transform clinical decision-making for patients presenting with infertility by enabling objective, high-throughput, and personalised assessment of semen samples, but these tools should be used to augment rather than replace clinical expertise until models have been prospecti...
[ Recommended — Download the Complete Package (ZIP FILE) from the Download Section for Research Purposes / Latest Industry Trends on AI Governance and AI Safety ] Short Summary of this Article Current Internet protocols move, encrypt, authenticate, delegate, and record data—but they do not generally answer one deeper q...
This study aims to examine how artificial intelligence (AI) readiness and digital pedagogical competence (DPC) are associated with lecturers’ perceptions of digital environmental governance innovation (DEGI) and perceived environmental performance in higher education institutions (HEIs). Moving beyond isolated gree...
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.
A Blog post by Dharma-AI on Hugging Face
Health & Bioscience
A model developed by researchers at MIT and Boston Children's Hospital adjusts scans on the fly to track fetal movement, potentially sparing families repeat hospital visits.
New research can help AI models understand crystalline materials in 3D and reason about their properties.
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