A research team has identified a purified fucoidan fraction from the edible brown alga Laminaria japonica that shows strong anti-allergic activity in laboratory cell models. 

With the widespread application of radar in space target detection and identification, acquiring radar images of non-cooperative targets at different attitudes has become the data foundation for supporting deep learning-based automatic target recognition algorithms. However, the uncontrollable motion trajectories of non-cooperative targets and limited illumination time render the acquisition of measured images extremely difficult; although anechoic chamber measurements and electromagnetic computations can obtain multi-attitude images, they are respectively constrained by high costs and computational time, making it difficult to meet the demand for large-scale data. Existing image generation methods based on Generative Adversarial Networks (GANs) can augment data scales, but most can only control the azimuth angle without precisely constraining the elevation angle, resulting in generated images whose projection morphology does not match reality. Therefore, how to achieve radar image generation with precise dual-dimensional control over both azimuth and elevation angles has become a key technical challenge in data augmentation for radar recognition of non-cooperative targets.

A research team has developed an efficient, environmentally friendly process that converts corncobs into ferulic acid (FA), p-coumaric acid (pCA), and xylooligosaccharides (XOS). 

With the accelerated advancement of lunar and Mars exploration programs, long-term human habitation on extraterrestrial bodies faces the severe challenge of extreme diurnal temperature variations. Phase change materials (PCMs), owing to their ability to store or release substantial latent heat during solid–liquid phase transitions while maintaining a nearly constant temperature, have become an ideal solution for space thermal control systems. However, in the microgravity environment of space, the ground-dominant natural convection tends to disappear, and thermocapillary convection may become the prevailing heat transfer mechanism; in low-gravity environments such as those on the Moon and Mars, the coexistence and competition between these two convective regimes remain unclear. Existing studies have predominantly focused on either Earth's gravity or pure microgravity conditions, with a notable scarcity of research on the coupled effects of thermocapillary and natural convection at intermediate gravity levels. The melting dynamics of two typical organic PCMs, succinonitrile and n-octadecane, under low-gravity conditions have not yet been systematically elucidated. Therefore, clarifying the roles of thermocapillary convection under varying gravity levels and container geometries holds significant engineering guidance for the design of efficient space thermal control systems.

A review, published on September 11 in Cyborg and Bionic Systems by researchers at Tianjin University, summarizes recent advances in intracortical microstimulation (ICMS), a technique that uses tiny electrodes implanted in the brain to activate specific groups of neurons. The researchers discuss how ICMS has evolved from a tool for mapping brain function into a potential technology for sensory feedback, information delivery, closed-loop neuromodulation and biointegrated neural interfaces.

Brain–computer interfaces are increasingly being explored as a way to restore lost functions or provide new channels for communication between the nervous system and electronic devices. While much BCI research focuses on reading neural signals, ICMS provides the complementary ability to write information back into the brain.

“ICMS has emerged as a prominent invasive modality capable of activating intracortical neuronal populations with high precision,” the researchers write. The technology can potentially replace or supplement natural sensory inputs, probe

A research team has developed an artificial intelligence-integrated framework that combines pathway-based machine learning, transcriptomic prediction, and pharmacophore analysis to rapidly identify and optimize therapeutic candidates for ischemic stroke. 

Thermochromic smart windows can automatically adjust solar and thermal radiation in response to temperature, offering a passive route to reduce building energy demand and improve indoor comfort. A new review published in Science Bulletin examines why these windows have not yet achieved large-scale application, despite rapid materials progress. The authors identify key challenges in spectral regulation, switching temperature, response speed, durability, scalable fabrication, glazing integration, lifecycle impacts, and building control. They argue that future development should shift from isolated material optimization toward deployment-oriented design and system-integrated adaptive building envelopes.