The“Micro-Nano Sensing Technology”creative research group of NSFC from the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences, led by Professor CAI Xinxia, has developed a new method for fabricating high-precision, low-curvature microelectrode arrays (MEAs). The MEAs are designed for recording neuronal activities in brain's deep, small volume region. Published in the Microsystems & Nanoengineering on October 14, the study implanted the low-curvature MEAs into the ventral tegmental area (VTA) of rats, employing a modified T-maze to highlight the VTA's important role in reward processing and spatial information coding during goal-directed navigation.

The“Micro-Nano Sensing Technology” creative research group of NSFC from the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences, led by Professor CAI Xinxia, has made a breakthrough in brain-computer interface technology. The team developed a novel drug-loaded hydrogel-coated microelectrode array (MEA), which allows for long-term, high-quality detection of neural activity. The study was published in the journal Biosensors and Bioelectronics​.

A large-scale space-air-ground integrated scientific experiment, part of the "BeiDou-enabled Remote Sensing Application Pilot Program," was carried out from July 20 to August 15 at the Yellow River Delta National Nature Reserve.

On October 19, China's first domestically developed integrated sky-ground intelligent monitoring and early warning system for vegetation pests and diseases, known as "Smart Eye", was officially launched, according to the Aerospace Information Research Institute (AIR) of the Chinese Academy of Sciences.

A team of international researchers, led by Professor CHEN Fulong from the Aerospace Information Research Institute （AIR) under the Chinese Academy of Sciences, has employed an integrated approach to uncover the mysteries of the Eastern Mausoleum of Qin State, an ancient royal burial site from China’s Warring States period. By combining satellite imagery and electromagnetic ground surveys, the study offers a fresh perspective on the burial practices and cultural heritage of ancient China, while simultaneously pushing the boundaries of non-invasive archaeological research.

A research team led by Prof. CHEN Fulong from the Aerospace Information Research Institute (AIR) under the Chinese Academy of Sciences has been using satellite imagery and deep learning techniques to monitor a UNESCO World Heritage Site---Silk Roads: the Route Network of the Chang'an-Tianshan Corridor. Their recent study, published in the International Journal of Digital Earth​on September 13, emphasizes the growing need for vigilant monitoring as these sites face increasing threats from both urban development and natural disasters.