A recent review published in National Science Review delves into the significance and potential of synchronous electrolytes for aqueous zinc-halogen batteries. The review examines challenges such as zinc corrosion and halogen instability, while proposing advanced strategies like gradient hydrogels and biphasic electrolytes to simultaneously optimize both sides. These insights pave the way for practical applications in grid-scale energy storage.

An international research team led by Aalto University has just published the first large-scale analysis based on long-term satellite data on the effects of peatland restoration. The study showed clear changes roughly a decade after restoration measures began.

Neuromorphic computing has the potential to overcome limitations of traditional silicon technology in machine learning tasks. Recent advancements in large crossbar arrays and silicon-based asynchronous spiking neural networks have led to promising neuromorphic systems. However, developing compact parallel computing technology for integrating artificial neural networks into traditional hardware remains a challenge. Organic computational materials offer affordable, biocompatible neuromorphic devices with exceptional adjustability and energy-efficient switching. Here, the review investigates the advancements made in the development of organic neuromorphic devices. This review explores resistive switching mechanisms such as interface-regulated filament growth, molecular-electronic dynamics, nanowire-confined filament growth, and vacancy-assisted ion migration, while proposing methodologies to enhance state retention and conductance adjustment. The survey examines the challenges faced in implementing low-power neuromorphic computing, e.g., reducing device size and improving switching time. The review analyses the potential of these materials in adjustable, flexible, and low-power consumption applications, viz. biohybrid spiking circuits interacting with biological systems, systems that respond to specific events, robotics, intelligent agents, neuromorphic computing, neuromorphic bioelectronics, neuroscience, and other applications, and prospects of this technology.

New research into the anatomy of blue sharks (Prionace glauca) reveals a unique nanostructure in their skin that produces their iconic blue colouration, but intriguingly, also suggests a potential capacity for colour change.

Researchers from Sun Yat-sen University and Guangxi University have developed a machine learning-enhanced synchronization method for quantum key distribution, enabling secure communication over 200 km without the need for external clock synchronization or calibration. Combined with a simplified reference-frame-independent QKD protocol and a streamlined detector setup, the result is a compact, low-cost, and robust quantum communication system.

Researchers from The University of Osaka found that a one-time genome editing treatment introducing a gene encoding the glucagon-like peptide-1 receptor agonist Exendin-4, marketed as the weight-loss drug Exenatide, results in sustained secretion of the drug, reduced food intake, and enhanced weight loss in mice. This in vivo genome editing approach provides a potential strategy for treating complex diseases without defined genetic causes, such as heart disease and autoimmune disorders, without the need for frequent medication.

MIT engineers developed an implantable reservoir that can remain under the skin and be triggered to release glucagon when people with diabetes are in danger of becoming hypoglycemic.