This Collection explores the hidden barriers, biases, and structural inequities that shape people’s experiences with long‑acting reversible contraception. By centering user autonomy and person‑centered care, it highlights the urgent need to improve access, choice, and satisfaction with LARC methods.

The Collection invites submissions on Arctic biodiversity, marine food‑web dynamics, species resilience to rapid environmental change, and emerging research focused on how warming and ice‑loss are reshaping Arctic marine life.

The collection focuses on the application of analytical chemistry and material science methods to the study of organic and inorganic heritage materials across a broad range of typologies, including archaeological and historic objects, archival and library materials, built heritage, and cultural landscapes.

This Collection focuses on the biological and translational foundations of colorectal cancer heterogeneity, highlighting molecular mechanisms, cancer stem cell dynamics, and tumor–microbiota–immune interactions that influence disease progression, therapeutic resistance, and clinical outcomes. It brings together basic, translational, and clinical studies aimed at identifying and validating actionable biomarkers and biomarker-guided strategies to advance early detection, prognostic stratification,

This collection examines how behavioral science, artificial intelligence, and digital technologies converge to shape health behaviors at scale in a context of digital public health momentum.

This Collection gathers cutting-edge research on edge intelligence for perception and interaction—encompassing distributed sensing, collaborative perception systems, contextual understanding frameworks, and their integration into adaptive decision-making architectures. Topics include edge-native generative AI, federated edge learning, communication-efficient multi-agent fusion, and embodied human-machine interaction, with applications in autonomous systems, smart cities, Industry 4.0, and digita

The collection will focus on the development of novel models, control strategies, learning techniques, and security methods for IoT, with an emphasis on their application to real-world problems. Analytical, numerical, and experimental works which contribute to the development of machine learning and information security for IoT, are welcome.

This Collection explores sustainable bioresources and AI-driven innovations that support resilient, productive, and environmentally responsible agricultural systems. It highlights interdisciplinary research bridging biotechnology, smart agriculture, and circular bioeconomy approaches.

This Collection brings together innovative research on biological, carbon-based, and nanotechnology-enabled bio-inputs that enhance crop performance while reducing dependence on synthetic fertilizers and pesticides. It highlights how solutions such as plant growth–promoting bacteria, biochar, and nanoparticles can improve nutrition, stress resilience, and yield stability, ultimately supporting climate-smart, resource-efficient agricultural systems aligned with global sustainability goals.

This Collection on Ultrafast Field-Resolved Spectroscopy aims to highlight recent advances in measuring and controlling light–matter interaction on sub-cycle timescales.

This Collection showcases innovative, sustainable solutions in food formulation, processing, packaging, and waste valorization, advancing environmentally responsible food systems aligned with SDGs 2, 7, 12, and 13. It highlights interdisciplinary research on resource-efficient production, renewable energy integration, circular utilization of by-products, and the development of green materials that minimize waste and reduce reliance on petroleum-based plastics.

Sustainable consumption policies are crucial for decoupling economic growth from environmental harm, guiding the transition to a circular economy, and ensuring evidence‑based approaches that effectively influence both consumer behaviour and production systems. By evaluating policy instruments, trade-offs, and systemic impacts, this collection provides the rigorous foundation needed to design equitable, resilient, and impactful interventions aligned with global sustainability goals.

Sleep is a fundamental biological and psychological process underlying mental health and adaptive functioning across infancy and childhood. This Editorial Collection brings together interdisciplinary research, investigating parenting, parental mental health, work–family contexts, neurobiological and psychosocial risk and protective factors for children’s sleep quality.

Advanced functional materials have long played a critical role in high-impact applications ranging from aerospace and transportation to addressing some of the most pressing environmental challenges of our time.

This cross-journal Collection highlights innovative soft materials towards drug delivery applications.

MASLD is a multisystem metabolic liver disease closely linked to cardiometabolic and other systemic comorbidities, and this Collection focuses on its mechanisms, clinical impact, and management across diverse populations and healthcare settings.

This Special Issue explores integrated decision-making in the built environment, linking cost, energy, and emissions within cross-disciplinary frameworks to support sustainable, transparent, and coordinated choices across design, construction, and operations.

This Special Issue highlights cutting-edge research on AI‑empowered catalytic technologies for deep decarbonization and sustainable development. It focuses on smart catalyst design, advanced applications for green hydrogen, ammonia, and sustainable fuels, AI‑aided investigations of mechanisms and kinetics, and integrated AI+ approaches for optimizing catalytic systems and circular economy solutions.

EJNMMI Research invites contributions focusing on the latest imaging innovations in neurological diseases, including advancements in diagnostic imaging, molecular imaging techniques, and the development of new radiopharmaceutical agents. Researchers are encouraged to submit studies that explore the applications of these technologies in enhancing diagnostic accuracy and understanding disease mechanisms, ultimately contributing to improved patient care and management in the field of neurology.

This Collection explores the mechanistic foundations, emerging technologies, and translational strategies needed to detect, understand, and mitigate neurotoxic processes arising from the complex interplay of environmental stressors, genetic susceptibility, and nervous system health.