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Abstract Generative artificial intelligence is reshaping how researchers discover protein-binding compounds and develop them into drug candidates. Unlike traditional methods that screen existing molecules, structure-base...

Endurance versus payload in UAVs is a direct trade-off governed by airframe mass and structural efficiency. Generative design (GD) and topology optimization (TO) are increasingly used to develop lightweight, high-perform...

The growing presence of generative artificial intelligence (GenAI) in educational practice raises questions about how learners and educators live with AI and reshapes questions about how learning unfolds across contempor...

Data-driven design approaches based on deep learning have been introduced in nanophotonics to reduce time-consuming iterative simulations, which have been a major challenge. Here, we report the first use of conditional d...

The prediction and design of photonic features have traditionally been guided by theory-driven computational methods, spanning a wide range of direct solvers and optimization techniques. Motivated by enormous advances in...

Abstract Heterogeneous graphs are widely employed in applications such as social networks, recommendation systems, and bioinformatics. However, node attributes in real-world heterogeneous graphs are often missing or corr...

ABSTRACT Integrating healthcare systems with intelligent transportation networks represents a critical frontier in modern urban infrastructure, where efficient resource allocation and timely service delivery can signific...

This study investigates how generative artificial intelligence (AI) integration affects professional skill development in journalism education through learning engagement and media literacy. Conducted between September 2...

With the rapid growth of Internet of Vehicles (IoV) technology, the attack surface has expanded significantly in recent years. Traditional intrusion detection systems, such as signature-based and rule-based approaches, a...

The growing interest in current approaches to communicative foreign language teaching should encourage a stronger commitment to the didactics of phraseology in Spanish as a foreign language classroom and open the way for...

The article analyzes the theoretical foundations and practical aspects of implementing artificial intelligence (AI) technologies in educational and scientific space. Based on a systematic analysis of international resear...

Digital Twin Networks (DTNs) are emerging as a key enabler for the robust optimization and lifecycle management of next-generation networks. However, current DTN approaches still rely heavily on manual design, implementa...

Sustainability education is mandatory in Swedish preschools, yet young children often experience sustainability issues as frightening, complex and beyond their influence. This study explores how preschool children can ex...

IntroductionThe proliferation of generative artificial intelligence (AI) has created unprecedented opportunities for informal second language (L2) learning, yet the psychological mechanisms through which AI-mediated lear...

This issue of the journal presents a rigorous collection of fourteen scholarly articles, systematically covering the key domains within translation studies, language pedagogy, intercultural communication, and applied lin...

The necessity for sophisticated recommender systems in the movie recommendation sphere has become particularly pronounced, generating a more personalized movie recommendation due to people nowadays who like to watch movi...

This article focuses on innovative practices for training future linguists and translators within the framework of Education 4.0. The authors present the cases of how generative artificial intelligence (GenAI) can be app...

Water information systems (ISs) are essential for sustainable water management but are often constrained by fragmented, heterogeneous, and rapidly evolving data. Advances in generative artificial intelligence (GenAI), pa...

The paper investigates the technological drivers of the transformation of the market positioning of Ukrainian banks under conditions of rapid digitalization of the economy and the development of fintech ecosystems. It el...

Current watermarking approaches for LLM-generated text typically embed watermarks during the generation process, using a secret key controlled by the LLM. Although this enables verification of LLM-generated content, it m...

With the rise of generative AI, a new generation of intelligent phishing has emerged, where attackers leverage Large Language Models (LLMs) to craft websites with high semantic plausibility, posing critical challenges to...

La hegemonía de ciertos enfoques teóricos en los campos de producción del conocimiento provoca que algunos presupuestos se asuman como absolutos sin admitir ninguna problematización. Tal es el caso de la centralidad ...

Generative adversarial networks are a kind of artificial intelligence algorithm designed to solve the generative modeling problem. The goal of a generative model is to study a collection of training examples and learn th...

Materias / palabras clave: artificial intelligence in architecture, theory of computation, computational design, generative approaches, computational models and tools, fabrication techniques; Fine Arts: Architecture: Architectural drawing and desi...