Recently, micro/nanosatellites have become a significant trend in space with the rapid development of space technology, microelectromechanical systems, and commercial off-the-shelf components. However, most traditional micro/nanosatellites have poor reliability and real-time performance. The implementation of a real-time operating system (RTOS) can effectively prevent system crashes due to untimely responses, thereby enhancing the real-time performance and reliability of the micro/nanosatellite attitude determination system. The Dalian-1 Lianli satellite, a 17-kg 12U high-resolution remote sensing CubeSat, was developed to validate a series of innovative technologies, including submeter high-resolution remote sensing imaging, the high-reliability OpenHarmony real-time operating system (RTOS), and the nontoxic hydroxylamine nitrate propulsion system. The satellite first uses the free, high-reliability OpenHarmony RTOS in the world. Launched on 2023 May 10, aboard the Tianzhou-VI cargo spacecraft, the satellite was successfully deployed into orbit on 2024 January 18, following 253 d of in-orbit storage at the China Space Station.

New research from Fujita Health University reveals that talking can subtly delay the eyes’ ability to detect and stabilize on visual information. In experiments comparing talking, listening, and control conditions, only talking caused slower reaction, movement, and fixation times during rapid eye-movement tasks. Because driving depends heavily on fast gaze shifts, these delays may impair hazard detection and slow physical responses. The findings highlight the hidden risks of engaging in conversation while driving.

The positioning, navigation, and timing (PNT) information is fundamental to modern information systems. Over the years, people have invented many navigation systems to get PNT information, whereas each single navigation system has its flaws. As far as radio navigation is concerned, besides global navigation satellite systems (GNSS), exploiting non-navigation signals of opportunity for navigation under complex environments has attracted more and more interest in recent years. Satellite signals of opportunity positioning (SSOOP) attempts to work out a navigation solution with many non-GNSS satellite signals, such the many low-earth-orbit direct-to-cell and broadband satellite communications signals, when GNSS signals are not available. It is promising in addressing GNSS vulnerability by using an overwhelming quantity of satellites with diverse signal formats, multiple radio bands, and global availability. However, existing work on SSOOP is still quite preliminary. No work on identifying the passing satellite has been done when a receiver powers on without a rough guess on its location.

Due to the unique conditions of the space environment and abundant resources, the field investigation and study of the Moon, Earth’s sole natural satellite, represent a crucial milestone in China’s forthcoming deep space endeavors. The successful collection of lunar soil by the Chang’E-5 mission signifies the next phase of the lunar exploration program, which aims to establish a preliminary research station on the lunar south pole. Highly adhesive fine dust particles with an adhesion strength of 0.1 to 1.0 kN/m², which originate from the regolith, disperse throughout the lunar surface. These particles exhibit a lasting attraction and subsequent persistent adhesion to the surface of spacecraft or spacesuits. The accumulation of highly adhesive dust on spacecraft presents a serious issue to hinder long-term extravehicular activity and the establishment of a permanent station on lunar surface. In contrast to the immediate physical damage caused by hypervelocity (> 1.0 km/s) impacts, this adhesion observed at low- velocity (0.01 to 100 m/s) collisions can more unobtrusively and mortally degenerate the performance of equipment. In recent years, many interaction models have been developed to forecast the adhesion and ejection dynamics of lunar dust on various surfaces. Most researches on the electrostatic force applied on dust particles near the surface use point-charge approximation. Although this simplification makes the simulation easier, the error can be large due to the polarization of dust induced by the image charge.

Recently, the team led by Guoqi Li and Bo Xu from the Institute of Automation, Chinese Academy of Sciences, published a research paper in National Science Review. The team, drawing on principles from neuroscience, proposed an innovative neuromorphic spike-based large language model, aimed at enhancing the energy efficiency and interpretability of LLMs. This research not only opens new directions for the development of efficient AI but also provides valuable insights for the design of next-generation neuromorphic chips.

Researchers in China conducted a comprehensive overview of the fabrication of magnetic robotic materials, structural design, actuation systems, and their application scenarios. In terms of fabrication, permanent magnetic particles are discussed. Structural design encompasses one-dimensional, two-dimensional, and three-dimensional architectures, as well as bio-inspired structures. The actuation systems primarily introduce coil-based mechanisms and permanent magnet-based approaches. Application scenarios mainly include targeted drug delivery and minimally invasive surgery, among others.