This Collection brings together studies that advance our understanding of super‑resolution imaging, from technique improvement to implementation in identifying cellular functions.

This Collection will focus on the interplay among manufacturing, kinetics and functionality under non-equilibrium conditions.

This collection welcomes research on adaptive metamaterials and metasurfaces for sensing, wireless power transfer, communications, and wave control.

This Collection examines worldwide research trends in values education, concentrating on the ways moral, ethical, and cultural values are being redefined and incorporated into modern learning settings influenced by digital transformation and teaching innovation. It invites interdisciplinary submissions that explore theory, practice, and policy in character and values education within various educational settings globally.

This Collection aims to showcase research that explores the intersection of Generative AI, foundation models, and AI agents in the context of energy system design and operation.

This Scientific Data collection will feature descriptions of data that include two or more of genomics, transcriptomics, proteomics, metabolomics, epigenomics, phenotypic data, or other whole-system approaches relevant to systems biology.

This Collection aims to gather comprehensive research on Data-Centric AI, digital twins, and knowledge graphs as they pertain to energy systems.

The research challenge is shifting from: "How do devices connect" to "How do devices understand each other". Topics include Semantic Web of Things, Knowledge Graphs, Ontologies, Cybersecurity, Trust, Privacy, RDF/JSON-LD, W3C WoT Thing Descriptions, Semantic interoperability. Current research aims to create Self-describing Things. Devices publish machine-understandable descriptions of capabilities, services, constraints, and context, allowing AI systems to automatically discover and compose serv

This Collection welcomes original research contributions exploring the design, optimization, and deployment of distributed learning frameworks, including Federated Learning, split learning, swarm learning, and related approaches, tailored to the specific demands of IoT ecosystems.

The collection aims to highlight emerging methodologies and interdisciplinary approaches that support the development of next-generation geothermal systems and underground laboratories.

This cross-journal Collection highlights research on 3D printing and additive manufacturing, including innovations in the design of organic and inorganic materials, process design, printing methods, devices and on advancing the printing process and post-process modifications.

This Collection explores the rapidly expanding role of large language models (LLMs) in clinical prediction, highlighting their potential to enhance diagnostic accuracy, prognostic assessment, and personalised patient care.

The journal "Pneumonia" welcomes submissions on Respiratory Syncytial Virus (RSV) pneumonia, emphasising research that elucidates its pathophysiology, epidemiology, and therapeutic interventions.

This Collection aims to compile research on advances in open-source medical software, focusing on its impact on healthcare informatics. Contributions should explore topics such as interoperability, cost-effectiveness, and case studies, aiming to highlight how open-source solutions can enhance clinical decision-making and patient outcomes in various healthcare settings.

Exploring AI-driven strategies to optimize energy use, minimize waste, and enable sustainable industrial transformation for a greener future

This collection explores multimodal perception systems that integrate visual, textual, and sensor information for intelligent analysis and decision-making. Particular emphasis is placed on the role of foundation models and large language models (LLMs) in enabling cross-modal reasoning, visual understanding, and knowledge grounding.

This Collection welcomes submissions on oil composition and health effects, high oleic and omega‑3 innovations, stability and oxidation research, culinary performance, authenticity testing, and technologies that support the safe, sustainable development and application of health promoting edible oils across diverse food and processing environments.

This Collection seeks to compile comprehensive research on urinary tract infections, focusing on their pathogenesis, diagnosis, and treatment strategies. Submissions will address the growing challenge of antibiotic resistance, the role of emerging diagnostic technologies, and innovative therapeutic approaches, all aimed at enhancing patient care and outcomes in UTI management.

This Collection seeks to address pressing issues in kidney care access, with a focus on healthcare disparities, socioeconomic barriers, and the equitable distribution of transplant resources. We aim to explore effective policy frameworks for inclusivity in nephrology services.

This Collection seeks to gather innovative research on aromatherapy within the context of integrative care. We welcome submissions that investigate the applications, benefits, and mechanisms of action of essential oils and herbal oils in various health settings. The aim is to advance our understanding of how aromatherapy can complement conventional medical practices, promote holistic health, and enhance patient outcomes.