Topics related to the scope of this Topical Collection in Smart Construction and Sustainable Cities include but are not limited to, the application of Artificial Intelligence, Statistical Analysis, Machine Learning, Deep Learning, and Combined use of data-driven and physics-based approaches to geoengineering and geoscientific issues.

The thematic issue seeks to provide a platform for research that addresses both opportunities and challenges of GenAI in VET, ranging from conceptual frameworks and measurement approaches to evidence on outcomes and interventions. By bringing together theoretical, methodological, and empirical perspectives, this issue intends to strengthen the evidence base for how GenAI can support high-quality vocational education and guide evidence-informed policy.

This Collection welcomes studies that dissect inflammatory signaling networks across diverse biological scales and disease contexts. We invite contributions ranging from targeted pathway analyses and classical biochemical or cell biological approaches to system-level investigations and multi-omics studies, alongside rigorous mechanistic work.

This Collection seeks original research on intelligent micro- and nanorobots with demonstrated or clearly defined biomedical or healthcare applications. Studies focused solely on nanoparticle or material synthesis without functional validations or applications, including green synthesis, are out of scope.

This special issue examines innovative 3D reconstruction and volumetric modeling methods for accurate representation of urban scenes with a focus on automation, data completeness and engine independence. It faces the issues of intricacies in geometries, incompleteness of data and computational limitations with the fusion of open datasets, computer vision, artificial intelligence and multi-modal data fusion

This Collection aims to bring together original research that explore molecular insights into plant and food systems, design of sustainable agrochemicals, discovery of bioactive food components, and innovations in food safety and quality control. Studies that integrate chemistry with biotechnology, materials science, or data science are particularly welcome.

This Collection encourages submissions on practical opportunities for earlier detection, including symptom-triggered rapid diagnostic pathways, improved ultrasound (or MRI) triage of adnexal masses, and the emerging use of liquid biopsy and longitudinal biomarker strategies in high-risk populations (for example, BRCA carriers). Manuscripts evaluating how early diagnostic refinement affects treatment sequencing and clinical outcomes are also of particular interest.

This Collection invites manuscripts describing original in vivo research to elucidate in detail the molecular mechanisms at play in gut-centered modulation of neurological and/or behavioral outcomes, or gut responses to neurological disease treatments.

This Collection integrates population-based and intervention-oriented research to advance understanding of mental health determinants, outcomes, inequalities, and preventive strategies across diverse populations, with particular attention to large-scale societal stressors such as pandemics, digitalization, and socioeconomic change. It also emphasizes evidence on digital health innovations, including e-health and m-health interventions, to promote psychological well-being among clinical a

This Collection focuses on workplace mental health, highlighting the role of occupational environments in shaping psychological wellbeing, particularly in the context of evolving work patterns such as remote and hybrid work. It brings together multidisciplinary research on prevention, early intervention, organizational practices, and policy-relevant approaches to promote mental health across diverse workplace settings.

During the 21st century, there has been an evolution concerning mainly sexual health and well-being. The scope of the collection will be mainly to focus on the impact of technology on sexuality and disparities in sexual health and mental health among LGBTQ+ populations.

The Collection welcomes contributions employing both quantitative and qualitative methodologies, as well as mixed-methods designs, with particular attention to research quality, validity, and ethical considerations. Empirical studies using advanced statistical analyses, robust sampling strategies, and transparent data processing are encouraged, alongside qualitative investigations that offer in-depth insights into educational phenomena through interviews, observations, and case studies.

This call for papers invites contributions that explore the educational roles of digital and analogue games, with particular attention to contemporary board games and other sophisticated play systems across formal and non-formal learning contexts. It especially welcomes intersectional and situated perspectives that consider accessibility and the diverse characteristics of players, while remaining open to a broad range of theoretical, empirical, and practice-based approaches.

This collection aims to gather cutting-edge research that addresses the theoretical and practical challenges of deploying Agentic AI in Edge and IoT environments. We invite researchers and practitioners to submit high-quality contributions that explore architecture design, algorithmic innovation, and system implementation.

This collection explores next-generation IoT ecosystems that integrate Edge/Fog computing, AI/ML, Blockchain, Digital Twins, and renewable energy technologies to build resilient, secure, and sustainable intelligent environments. It welcomes interdisciplinary research that advances green IoT infrastructures and supports smart cities, digital healthcare, and sustainable energy management.

This collection focuses on advancing next-generation IoT through secure architectures, innovative communication protocols, and software-driven approaches that enable flexibility and scalability. It also explores the integration of artificial intelligence to enhance IoT intelligence, automation, and resilience across diverse application domains.

Glucose Sensing

The aim of this Collection is to showcase cutting-edge research that advances the field of immuno-oncology in GU cancers and supports the development of personalized, equitable, and effective treatment paradigms. We invite submissions from oncologists, urologists, immunologists, and researchers working at the forefront of cancer immunotherapy.

This Collection will gather original research, clinical trials, and cutting-edge reviews on TCL pathogenesis, refined disease taxonomy, predictive and minimal residual disease biomarkers (including liquid biopsy), and innovative therapeutic approaches such as antibody–drug conjugates, targeted agents, cellular and immune-based therapies.

This collection aims to showcase cutting-edge discoveries at the nexus of mitochondrial regulation, metabolic reprogramming, metastatic signaling, and novel therapeutic interventions, alongside the accelerating influence of artificial intelligence (AI) in shaping cancer biology research.