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Teens, Tech, and Talk: Adolescents’ Use of and Emotional Reactions to Snapchat’s My AI Chatbot

Gaëlle Vanhoffelen, Laura Vandenbosch, Lara Schreurs • Behavioral Sciences (2025)

Due to technological advancements such as generative artificial intelligence (AI) and large language models, chatbots enable increasingly human-like, real-time conversations through text (e.g., OpenAI’s ChatGPT) and voice (e.g., Amazon’s Al...

DOAJ Open Access (DOAJ) DOI: 10.3390/bs15081037

The Integration of Cone Beam Computed Tomography, Artificial Intelligence, Augmented Reality, and Virtual Reality in Dental Diagnostics, Surgical Planning, and Education: A Narrative Review

Aida Meto, Gerta Halilaj • Applied Sciences (2025)

(1) Background: Advancements in dental imaging technologies have significantly transformed diagnostic and surgical practices. The integration of cone beam computed tomography (CBCT), artificial intelligence (AI), augmented reality (AR), and...

DOAJ Open Access (DOAJ) DOI: 10.3390/app15116308

Progettare con la luce

Federica Giuliani, Jurji Filieri • And (2025)

Il daylighting design rappresenta oggi una componente essenziale nella progettazione architettonica, in relazione a obiettivi ambientali, qualitativi e percettivi. Tuttavia, nonostante il crescente interesse verso la luce naturale, permango...

DOAJ Open Access (DOAJ)

The role of evaluative nouns in shaping modern English movie discourse: An axiological and morphological analysis

Irena Snikhovska, Larysa Soloviova, Julia Bereziuk, Svitlana Poplavska et al. • English Language Teaching Educational Journal (2026)

Evaluative language has been widely examined, but evaluative nouns in cinematic discourse remain insufficiently studied. This study addresses this gap by systematically analyzing evaluative nouns in English movie dialogue. A sample of 176 l...

DOAJ Open Access (DOAJ)

Optimizing Ultrasonic-Assisted Extraction Process of <i>Paralepista flaccida</i>: A Comparative Study of Antioxidant, Anticholinesterase, and Antiproliferative Activities via Response Surface Methodology and Artificial Neural Network Modeling

Mustafa Sevindik, Ayşenur Gürgen, Aras Fahrettin Korkmaz, Ilgaz Akata • Molecules (2025)

In this study, extraction conditions were optimized to maximize the biological activities of extracts obtained from Paralepista flaccida, an edible mushroom species. Extraction processes were carried out using an ultrasonically assisted sys...

DOAJ Open Access (DOAJ) DOI: 10.3390/molecules30163317

AI-Enhanced CLIL for Embodied Learning: Applying the CLPS Framework in Secondary Physical Education

Cristina Ramírez-Aroca, Arash Javadinejad • Education Sciences (2026)

This study examines how Artificial Intelligence (AI) can enhance Content and Language Integrated Learning (CLIL) through embodied, multimodal instruction in secondary Physical Education (PE). Drawing on Fernández Fontecha’s Content and Lang...

DOAJ Open Access (DOAJ) DOI: 10.3390/educsci16010062

Insights into the entire building life cycle assessment (LCA): existing trends, challenges and prospective framework

Erikas Lenkevičius, Jolanta Tamošaitienė • Journal of Environmental Engineering and Landscape Management (2026)

Building sustainability assessment increasingly demands life cycle coverage that captures environmental burdens and trade-offs beyond operational energy, including embodied impacts and end of life (EoL) outcomes under circular economy (CE) ...

DOAJ Open Access (DOAJ) DOI: 10.3846/jeelm.2026.27214

Natural Transports-Inspired Differential Semantic Communications: Intelligent Transceivers Carry Just Differences as Meanings

Ali Taimori, Mathini Sellathurai, Tharmalingam Ratnarajah • IEEE Transactions on Machine Learning in Communications and Networking (2026)

Communication is a fundamental process in the nature of interconnected entities. Conventional engineering models of information transmission and reception, namely Shannon&#x2019;s bit communication and Weaver&#x2019;s semantic communication...

DOAJ Open Access (DOAJ) DOI: 10.1109/TMLCN.2026.3716920

AI-Driven Identification of Critical Dependencies in US-China Technology Supply Chains: Implications for Economic Security Policy

Guoli Rao, Chengru Ju, Zhen Feng • Journal of Advanced Computing Systems (2024)

This research examines the critical dependencies within US-China technology supply chains through advanced artificial intelligence methodologies, addressing significant economic security implications in an era of strategic competition. The ...

DOAJ Open Access (DOAJ) DOI: 10.69987/JACS.2024.41204

Bridging the Education–Employment Gap in Europe: An AI-Driven Approach to Skill Matching

Ramón Sanguino, Nilgün Çağlarırmak Uslu, Pınar Karahan-Dursun, Caner Özdemir et al. • World (2025)

Education–employment mismatch represents a persistent structural issue across Europe, especially among young people. In line with the digital transformation, green transformation and population aging, new jobs are emerging every day, and so...

DOAJ Open Access (DOAJ) DOI: 10.3390/world6040143

Artificial Intelligence Voluntary Disclosures and Their Effect on Firms’ Financial Performance: Evidence from Egypt Firms on the EGX30 Index

suzy elnokoudy • المجلة العلمية للدراسات والبحوث المالية والتجارية (2025)

The present paper, thus, investigates the link between AI-disclosure in annual reports and firm performance in the Egyptian financial industry. It explains how the number of appertained AI-words in the corporate disclosures would correspond...

DOAJ Open Access (DOAJ) DOI: 10.21608/cfdj.2024.326666.2065

Design of the Digital Pathology Workspace for Artificial Intelligence Integration

Elena Guerini-Rocco, Chiara Frascarelli, Joana Sorino, Francesca Maria Porta et al. • Applied Sciences (2026)

Designing an optimal digital pathology workspace is essential to ensure diagnostic accuracy and safeguard the long-term well-being of pathologists. While digital pathology improves reproducibility, facilitates multidisciplinary collaboratio...

DOAJ Open Access (DOAJ) DOI: 10.3390/app16126021

Harnessing Machine Learning for Procedural Content Generation in Gaming: A Comprehensive Review

Shaqayeq Saffari, Morteza Dorrigiv, Farzin Yaghmaee • Journal of Artificial Intelligence and Data Mining (2024)

Procedural Content Generation (PCG) through automated and algorithmic content generation is an active research field in the gaming industry. Recently, Machine Learning (ML) approaches have played a pivotal role in advancing this area. While...

DOAJ Open Access (DOAJ) DOI: 10.22044/jadm.2025.15016.2603