A new study reveals that a region in China’s Turpan-Hami Basin served as a refugium, or “Life oasis” for terrestrial plants during the end-Permian mass extinction, the most severe biological crisis since the Cambrian period.

A recent study by Chinese scientists has revealed the intricate molecular machinery driving energy exchange within chloroplasts, shedding light on a key event in the evolution of plant life. Led by FAN Minrui from the Center for Excellence in Molecular Plant Sciences of the Chinese Academy of Sciences, the research elucidates the structure and function of the ATP/ADP translocator—a crucial member of the nucleotide transporter (NTT) family of proteins—which facilitates the transfer of energy across chloroplast membranes.

A new study published in Engineering reviews the latest research in tissue engineering for spinal cord injury (SCI) repair. It explores the roles of biomaterials, cells, dECM, exosomes, and other factors. Although more research is needed, these findings offer new directions for SCI treatment.

A new review in Engineering explores the intricate links among food systems, climate change, and air pollution. It reveals how these elements impact one another and details strategies to mitigate their effects and build a more sustainable future for food security and the environment.

A research team led by Professor Qiang Zhang from Tsinghua University has published a comprehensive analysis of energy storage technologies critical to China’s power system decarbonization. The study, featured in Technology Review for Carbon Neutrality, examines the multifunctional roles of storage systems across grid segments, evaluates core technologies from ultrashort-duration flywheels to seasonal hydrogen storage, and projects their deployment under cost and regional constraints. The work highlights policy mechanisms to support China’s transition to a carbon-neutral energy economy by 2060.

The flourishing development of the ‘low-altitude economy’ has not only enriched the aircraft industry but also expanded the application prospects of aircraft. However, this growth has also raised higher demands for the safety and intelligence levels of these aircraft. In emergency situations involving mechanical failures, adverse weather conditions, or strong interference, it is crucial for aircraft to autonomously select a suitable landing region and land safely. This can maximize the safety of both the aircraft and its occupants while minimizing economic losses. However, there is a lack of effective technical solutions for autonomous landing guidance under emergency conditions. This research focuses on this application and proposes a new monocular vision-based measurement method for autonomous aircraft landing guidance in unknown structured environments. The method enables the aircraft to autonomously select a suitable landing region and accurately measure the relative 6D pose (3D rotation and 3D translation) between the aircraft and the landing region, providing a reliable foundation for autonomous landing guidance.