The electrochemical nitrate reduction reaction (NO₃RR) is a promising route for green ammonia synthesis, but its complex reaction pathway makes adsorption selectivity critical. In this study, researchers introduced boron doping into nitrogen-doped carbon nanotubes (NCNTs) supported Cu₂O-Fe₃O₄ catalysts to enhance nitrate adsorption and increase local concentration near the electrode surface. The team confirmed that the B-doped carbon nanotube substrate effectively boosts NO₃RR performance with higher ammonia yield and a positive-shifted onset potential. This general doping strategy offers a new way to tune complex electrocatalytic reactions, especially those requiring high selectivity and concentration sensitivity.

A joint research team from China has developed a novel microwave-assisted rapid synthesis strategy for fluorescent polymer nanoparticles (FPNs) with physically entrapped fluorophores. Published in Nano Research, this method allows robust and rapid synthesis of FPNs with tunable size and fluorescence emission wavelengths by modulating key reaction parameters, as well as stimuli-responsiveness functionality.

Adsorption in nanoporous materials is crucial to addressing global challenges such as carbon capture, gas separation, and water harvesting. While machine learning potentials (MLPs) offer a revolutionary way to predict material behavior with high accuracy, integrating them into traditional simulation tools has been a major technical bottleneck. Researchers have now developed HULU, a universal Python-based framework that acts as a "bridge," allowing scientists to seamlessly apply diverse atomistic foundation models to Monte Carlo simulations. This breakthrough paves the way for faster, more accurate discovery of the next generation of sustainable materials.

Self-emissive quantum dot light-emitting diodes (QLEDs) are promising next-generation displays, but their industrialization is hindered by uncontrollable acid-induced positive aging, leading to non-uniform luminescence and short operating lifetimes. Researchers from BOE Technology Group developed a solution-processed thermal treatment strategy for ZnMgO electron transport layers, reducing the density of oxygen vacancies and increases the nanoparticle size, enabling QLED devices to achieve uniform electroluminescence with high efficiency, bright luminance and longer operating lifetime. This work provides a reliable route for scalable manufacturing of high-performance QLED displays.

A flexible sensing-storage integrated system have been developed for wearable health monitoring. This system is fabricated using a low-cost solution spin-coating process, combining a flexible floating-gate organic thin-film transistor memory with an organic thin-film transistor pressure sensor to achieve in-situ acquisition and storage of physiological signals, which provides an innovative platform for constructing low-cost, fully flexible electronic skins capable of simultaneous physiological sensing, data storage, and wireless transmission.

Beyond the gut and skin microbiota, a world of persistent intracellular microbes resides within human tissues. A new review introduces the concept of PIEM—persistent intracellular extraintestinal microbes—to describe these residents. Using human cytomegalovirus as a model, the authors propose that PIEMs act as systemic "tuning devices," calibrating immune, vascular, and metabolic baselines. The review also highlights circulating viral miRNAs as a liquid biopsy window for monitoring PIEM activity, opening directions for precision medicine.

Type 2 diabetes affects far more than glucose metabolism. Researchers have reported that a 16-week personalized exercise delivered broad health benefits for people with type 2 diabetes and abdominal obesity. Beyond reducing body fat, the intervention increased skeletal muscle mass, improved glycemic regulation and physical fitness, and enhanced cognitive performance. The findings suggest that personalized exercise should be viewed as a comprehensive therapeutic strategy rather than simply a weight-loss tool.

A new review in Science Bulletin proposes a "virulence phenotype-first" framework to assess the clinical risk of carbapenem-resistant hypervirulent Klebsiella pneumoniae (CR-hvKP). It argues that functional virulence expression—not just genetic markers—should guide real-time risk stratification for this emerging superbug.

Scheduling agile earth observation satellites is a complex optimization challenge. To tackle this, researchers developed a novel co-evolutionary framework where Large Language Models (LLMs) learn from expert-designed algorithms to automatically design superior scheduling strategies. This pioneering approach, which bridges the LLM's knowledge gap in this specialized domain, resulted in an average imaging profit improvement of 8.48% compared to state-of-the-art methods, demonstrating a new path for AI-driven algorithm design.