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Editorial

Bulent Cavas • Science Education International (2026)

Dear Readers, The September 2026 issue of Science Education International presents 11 original research articles authored by scholars from 11 countries, including Germany, Slovenia and Italy, Finland and South Africa, Brazil, Chile and Arge...

DOAJ Open Access (DOAJ) DOI: 10.33828/sei.v37.i4.e

Análisis de interacciones cliente-sistema en procesos de comercio gastronómico en la ciudad de Pamplona empleando una ICC

Luz Angela Moreno Cueva, Cesar Augusto Peña Cortes, Jarol Derley Ramon Valencia • Prospectiva (2026)

En este artículo se presenta un estudio piloto para la selección de un método en la toma de pedidos de un restaurante de comidas rápidas en la ciudad de Pamplona. Se realizó un diseño experimental para comparar los indicadores de desempeño ...

DOAJ Open Access (DOAJ) DOI: 10.15665/rvgt9394

Hackathons as Stepping Stones in Health Care Innovation: Case Study With Systematic Recommendations

Poncette, Akira-Sebastian, Rojas, Pablo-David, Hofferbert, Joscha, Valera Sosa, Alvaro et al. • Journal of Medical Internet Research (2020)

BackgroundUntil recently, developing health technologies was time-consuming and expensive, and often involved patients, doctors, and other health care professionals only as passive recipients of the end product. So far, users have been mini...

DOAJ Open Access (DOAJ) DOI: 10.2196/17004

Comparative assessment of patient education content generated by five large language models on post-stroke complications: A cross-sectional study of safety, accuracy, reliability, readability, and empathy

Long-Xian Liu, Huan-Huan Wang, Shuang Lu, Guo Yu et al. • Digital Health (2026)

Objective To compare the safety, accuracy, reliability, readability, and empathy of patient education content generated by five large language models (LLMs) for post-stroke complications. Methods This CHART-guided cross-sectional comparativ...

DOAJ Open Access (DOAJ) DOI: 10.1177/20552076261493266

Review of Generative AI methods in cybersecurity

Yagmur Yigit, William Johnston Buchanan, Madjid Tehrani, Leandros A. Maglaras • Internet of Things and Cyber-Physical Systems (2025)

Over the last decade, Artificial Intelligence (AI) has become increasingly popular, especially with the use of chatbots such as ChatGPT, Google’s Gemini, and DALL-E. With this rise, large language models (LLMs) and Generative AI (GenAI) hav...

OPENALEX cc-by DOI: https://doi.org/10.1016/j.iotcps.2026.04.001

DEVELOPMENT OF A QUESTION ANSWERING CHATBOT FOR BLOCKCHAIN DOMAIN

Aigerim Mansurova, Aliya Nugumanova, Zhansaya Makhambetova • Scientific Journal of Astana IT University (2023)

Large Language Models (LLMs), such as ChatGPT, have transformed the field of natural language processing with their capacity for language comprehension and generation of human-like, fluent responses for many downstream tasks. Despite their ...

DOAJ Open Access (DOAJ) DOI: 10.37943/15XNDZ6667

Machine Reading Comprehension for the Tamil Language With Translated SQuAD

Anton Vijeevaraj Ann Sinthusha, Eugene Y. A. Charles, Ruvan Weerasinghe • IEEE Access (2025)

Machine Reading Comprehension (MRC) is a challenging task in Natural Language Processing (NLP), crucial for automated customer support, enabling chatbots and virtual assistants to accurately understand and respond to queries. It also enhanc...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2025.3530949