This article introduces the Integrated Sociotechnical Exposure Framework (ISEF) to assess generative AI exposure in civil and environmental engineering by separating technical AI suitability (TA) from institutional resistance (IR). The contribution is an operational measurement framework, not a claim that instituti...
Yuxuan Chai· Digital Transformation and S...· 0 citations
Artificial intelligence is becoming increasingly relevant across modern industries. Businesses are exploring AI for content creation, software development, data processing, customer support, research, marketing, and workflow automation. As AI applications continue to expand, learners need more than theoretical knowledg...
Upgrad (India)· Zenodo (CERN European Organi...· 0 citations
The data were collected as part of the Hybrid intelligence research programme at the University of Oulu and carried out with the support of LeaF research infrastructure, University of Oulu. The dataset was collected to study university students’ motivation, self- and socially shared regulation of learning, and collabor...
Tiina Törmänen, Niklas Heikkala, Haoyu Chen et al.· Ministry of Culture and Educ...· 0 citations
This work presents a comprehensive pipeline for sub-event information extraction from Hindi-language tweets and news articles, covering eleven key categories such as casualties, infrastructure damage, relief operations and others, and introduces CrisisIE-Hindi, a benchmark dataset spanning cyclone, earthquake, flood an...
Prasenjeet Roy, Lipika Dey, Suman Kundu· ACM Transactions on Asian an...· 0 citations
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Artificial intelligence is becoming increasingly relevant across modern industries. Businesses are exploring AI for content creation, software development, data processing, customer support, research, marketing, and workflow automation. As AI applications continue to expand, learners need more than theoretical knowledg...
Upgrad (India)· Zenodo (CERN European Organi...· 0 citations
This project is a scoping review mapping how hope has been studied in adults with spinal cord injury (SCI), and in particular whether it has been examined as a predictor, mediator, moderator, or outcome in recovery. SCI outcomes research focuses mainly on neurologic and functional recovery, while psychosocial factors t...
Arjun Narayan Sahai· Open Science Framework· 0 citations
NepEduBench, an initial benchmark foropen-source Small Language Models (SLMs) covering English, Nepali, and Romanized Nepali. Built from Nepal’s official Grade 6–10 Social Studies textbooks, it combines a parallel core of 318 lessons per language (the same lessons in all three languages), language-specific instruction...
Inisha Pradhan, Chutiporn Anutariya, SEIN MINN et al.· Zenodo (CERN European Organi...· 0 citations
This study investigates a constructive question concerning Voynich-like text generation: can meaningful natural-language plaintext be used as source material, subjected to non-injective and deliberately information-losing transformations, and still produce localized word-form regularities resembling those observed in t...
Mamizu Hinata· Zenodo (CERN European Organi...· 0 citations
One word, precession, points at two different effects. One comes from fast motion itself, the other from the spacetime around a heavy body. Earlier papers treated the two separately, and none placed them in a single frame for comparison. No new theorem or law is claimed. Scope of this paper (scope note): No new theorem...
Yuuki Yamagishi· Zenodo (CERN European Organi...· 0 citations
Background
Artificial intelligence (AI) has rapidly expanded across orthopedics, with applications spanning imaging analysis, preoperative planning, implant selection, outcome prediction, rehabilitation, and related clinical workflows. Despite rapid growth in the literature, the global research landscape remains incomp...
Deep-learning models have transformed our ability to predict the phenotypic effects of sequence perturbations. Protein language models (pLMs) score the evolutionary propensity of any amino-acid substitution, emerging as fast and accurate predictors of fitness changes. Inverse-folding (IF) models add structural informat...
Ezequiel A. Galpern, Charles W. J. Pugh, Mafalda Dias et al.· ChemRxiv· 0 citations
Technical report, version 1.0.0, in English and Thai, deposited as a preprint. Both editions are included as PDF, in full, one file per language. The report asks whether a token-level N-gram memory (Engram) reduces Thai transcription errors when added to a frozen Qwen3-ASR-0.6B, and what three numerical precisions cost...
Thanabodee Nammungkun· Zenodo (CERN European Organi...· 0 citations
