Researchers from the Xishuangbanna Tropical Botanical Garden and their collaborators found that although lianas can accelerate decomposition, their bark presents a resilient barrier, creating a complex "double-edged sword" effect on forest biogeochemical processes.

A research team led by Prof. SUN Jian from the Dalian Institute of Chemical Physics (DICP) of the Chinese Academy of Sciences has proposed a hydroxyl-induced cobalt oxide catalytic strategy that enables the efficient conversion of syngas to light olefins through Fischer–Tropsch synthesis.

A research team from the Institute of Vertebrate Paleontology and Paleoanthropology of the Chinese Academy of Sciences evaluated the evolution of body size, skull shape, and respiratory traits using a novel dataset of 344 fossil species. The study focused on early-diverging land vertebrates from the Middle Devonian to the Early Permian.

researchers from the Shanghai Institute of Organic Chemistry have discovered for the first time that the electric dipole moment (EDM) of proteins can drive the dynamics of an important transmembrane signaling pathway through long-range interaction.

To determine whether Weismann’s germ plasm theory is applicable to plants, researchers from Dr. QIAN Wenfeng’s lab at the Institute of Genetics and Developmental Biology (IGDB) of the Chinese Academy of Sciences tested the theory in Arabidopsis.

A research team led by Prof. MEI Jie from the Institute of Hydrobiology of the Chinese Academy of Sciences has discovered that deficiency in miR-200a/200b enhances both growth and FCE in yellow catfish (Pelteobagrus fulvidraco) by upregulating stat5b expression.

Researchers from the Wuhan Botanical Garden of the Chinese Academy of Sciences have discovered a new species of the Impatiens during a plant diversity survey in the Ngari Prefecture of Xizang Autonomous Region, China. They named the species as Impatiens ngariensis S. Peng, G. W. Hu & Q. F. Wang.

A research team led by Assoc. Prof. FENG Zemeng from the Institute of Subtropical Agriculture of the Chinese Academy of Sciences outlined a conceptual and methodological framework that helps unify how innate immune status is assessed across different studies and application scenarios.

Prof. ZHANG Jian's team from Hefei Institutes of Physical Science of the Chinese Academy of Sciences, along with the collaborators, achieved a peak ZT value of 2.03 at 873 K in chalcopyrite-based thermoelectric materials using a novel dual antisite defect strategy.

A team led by Prof. PENG Xinhua and Assoc. Prof. LI Zhaokai from the University of Science and Technology of China of the Chinese Academy of Sciences demonstrated that a quantum processor comprising just nine interacting spins outperformed classical networks with thousands of nodes in realistic weather forecasting tasks.

A research team led by Prof. ZHANG Guoqing from the Shanghai Institute of Nutrition and Health of the Chinese Academy of Sciences developed a knowledge-guided system that uses LLMs to help identify promising antigens for tuberculosis vaccines.

A research team from the Shanghai Astronomical Observatory of the Chinese Academy of Sciences has proposed a new mechanism driving prograde equatorial jets—where wind direction aligns with a planet's rotation—for the first time. The mechanism reveals the direct regulatory role of magnetohydrodynamic waves in the deep interior on atmospheric circulation, offering a new perspective for understanding the atmospheric dynamics of gaseous giants.

A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences, together with its collaborators, has developed a novel synthetic aperture radar (SAR) interpretation method that identifies the specific scattering sources on three-dimensional targets responsible for prominent radar reflections visible in SAR images.

An international research team led by the Aerospace Information Research Institute of the Chinese Academy of Sciences has developed the global forest disturbance type dataset at 30-meter resolution: the Global Forest Disturbance Type Dataset (GFD). The dataset reveals that approximately 1.247 billion hectares of forest—equating to 31% of the global forest cover—underwent disturbances between 2000 and 2020.