This Collection welcomes submissions aimed at advancing our understanding of the mechanisms underlying cerebrovascular dysfunction and its contribution to neurodegeneration. We welcome preclinical studies, as well as clinical studies investigating the pathophysiology, diagnosis and treatment of cerebrovascular dysfunction in neurodegenerative disease.

This collection highlights research on how Physical AI and Embodied AI can make Internet of Things (IoT)systems smarter and more scalable. We welcome work that shows how AI can better sense, understand, and interact with the physical world through sensors, devices, and robots.

This special Collection calls for research contributions related to algorithms, tools and technologies that enhance energy efficiency and sustainability in distributed computing systems, focusing on innovative practices that mitigate environmental impact.

Focus areas include energy-efficient federated learning on edge devices, compiler-optimized lightweight neural networks for low-power inference, explainable AI for predictive maintenance, and privacy-preserving anomaly detection.

Biogenic synthesis of metallic nanoparticles with suitability in agriculture and medical fields

The Collection welcomes original research contributions addressing: Federated learning for secure and distributed IoT environments Privacy-preserving machine learning techniques

This Topical Collection focuses on the design, synthesis, and functional integration of hybrid interfaces for advanced electrochemical applications, spanning molecular-level engineering to device-scale performance. It welcomes contributions on organic–inorganic hybrid materials for energy conversion and storage, including hydrogen production, ammonia synthesis, batteries, and supercapacitors, with emphasis on interfacial mechanisms and scalable technologies.

This Topical Collection focuses on the advanced electrodeposition and precise structural control of manganese oxides for high-performance energy storage, conversion, and sensing applications. It also encompasses sustainable strategies for resource recovery and the development of innovative electrochemical analytical methods, bridging fundamental materials science with environmental engineering.

Any sensors developed from biomass material for metal, toxic chemical and food contaminant detection with high sensitivity to be considered. Biomass derived biomolecules like protein, DNA lipids etc fabricated into nanostructured sensors are to be included also.

Neuromorphic Computing for Parsimonious Autonomous Robots 2026

This Collection focuses on the role of food bio-actives and sustainable plant-based nutraceuticals in the prevention and management of metabolic disorders, including obesity, type 2 diabetes, dyslipidemia, and related cardiometabolic diseases. It welcomes basic, translational, and clinical studies exploring bioactive compounds, molecular and gut microbiota–mediated mechanisms, efficacy, safety, and sustainable production strategies aimed at improving metabolic health.

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This Collection invites research focused on disparities in the diagnosis and treatment of endocrine disorders. We aim to gather insights on diagnostic biases, ethnic and socioeconomic differences, and their impact on treatment outcomes. By addressing these critical issues, we hope to promote equitable healthcare practices and improve the health of diverse populations affected by endocrine conditions.

BMC Psychology welcomes submissions to our Psychological consequences of human-robot interaction Collection. This Collection seeks to showcase research on the positive and negative psychological effects, therapeutic applications, and ethical considerations surrounding human-robot relationships, in both children and adults. By advancing our understanding of these interactions, we aim to inform better design and implementation of robotic technologies that enhance human well-being.

This Collection invites contributions focused on the latest advances in chronic rhinosinusitis and nasal polyposis, emphasizing new insights into pathophysiology, treatment options, and patient outcomes. Researchers are encouraged to submit work that explores innovative therapies, including drug treatments and surgical techniques, as well as the impact of these advances on patients’ quality of life.

AAPS Open invites articles on compaction simulation in pharmaceutical tablet development, covering instrument advances, formulation and process applications, computational modeling, scale-up prediction, and integration with digital tools, machine learning, and continuous manufacturing frameworks.

This Collection explores the role of epigenetic regulation in ovarian cancer, from disease initiation to progression and therapeutic response. It highlights advances in multi-omics, single-cell, and liquid biopsy approaches to understand tumor heterogeneity and identify biomarkers. By integrating molecular insights with clinical applications, the Collection aims to support precision medicine and improve diagnostic and therapeutic strategies in ovarian cancer.

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This Collection aims to foster a deeper understanding of the acoustic environments in polar regions, their implications for biodiversity and conservation efforts and future guidelines and pathways for sustainable development and adaptation to climate change.

By bringing together multidisciplinary studies that integrate nanotechnology, pharmacology, and toxicology, this Collection aims to accelerate the development of safe and effective targeted nanotherapeutics and to contribute valuable insights into their pharmacological promise and toxicological profiles.