A research team led by Prof. WAN Yinhua from the Institute of Process Engineering has developed a machine learning framework to analysis virus filtration processes in therapeutic protein purification. The new method enables intelligent identification of critical parameters affecting virus retention efficiency and provides predictive guidance for process optimization.
A research team led by Prof. WANG Shuqiang from the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences introduced a Prior-Guided Adversarial Learning with Hypergraph (PALH) model for predicting abnormal connections in Alzheimer's disease.
A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed a new method that enhances the accuracy and reliability of trace gas analysis in open-path infrared spectroscopic remote sensing.
An international research team led by the Shanghai Astronomical Observatory has demonstrated that applying pixelized strong-lensing modeling on a galaxy cluster scale can significantly improve the precision of the inferred Hubble constant—a key parameter that describes the expansion rate of the universe.
A research team from the Xinjiang Technical Institute of Physics and Chemistry of the Chinese Academy of Sciences adopted a synergistic optimization strategy to successfully synthesize three novel rare-earth metal borate fluorides.
A team led by GAO Xiang from the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences, along with XIA Chuan from the University of Electronic Science and Technology of China, developed an artificial ocean carbon recycling system that captures CO2 from seawater and directly converts it into succinic acid.
A research team led by Prof. YANG Yuanhe from the Institute of Botany has revealed how grassland degradation alters the relationship between biodiversity and ecosystem multifunctionality across the Tibetan alpine grasslands.
Researchers from Xishuangbanna Tropical Botanical Garden of the Chinese Academy of Sciences investigated the intraspecific genome size variation and its role in ecological adaptation in the hexaploid plant Rorippa indica. The findings showed that plants can adapt to tropical environments by significantly enlarging their genomes.
A new review has revealed the potential of desert ecosystems in the global fight against climate change. The review, led by Prof. ZENG Fanjiang from the Xinjiang Institute of Ecology and Geography, synthesizes evidence showing that deserts can function as vital carbon sinks through innovative management and technology.
A research team from the Institute of Oceanology of the Chinese Academy of Sciences has analyzed observational data, climate models, and ocean simulations. They uncovered a key "fingerprint" of AMOC slowdown: mid-depth (1,000–2,000 meters) warming in the equatorial Atlantic Ocean.
A new study led by Prof. LI Xiaosong from the Aerospace Information Research Institute of the Chinese Academy of Sciences has evaluated land productivity dynamics (LPD) across the African Great Green Wall (GGW) between 2013 and 2022.
A new study introduces an artificial intelligence-driven remote sensing framework designed to map the potential for forage cultivation across northern China's drylands, with a particular focus on the middle reaches of the Yellow River. The study identifies optimal forage-growing belts at the kilometer scale, delivering data and decision-ready tools to underpin ecological protection, sustainable agricultural practices, and national feed and food security.
A research team led by Prof. GE Ziyi from the Ningbo Institute of Materials Technology and Engineering of the Chinese Academy of Sciences, in collaboration with Prof. QU Bo from Peking University, has developed a novel passivator soluble in low-polarity solvents, achieving a stable perovskite solar cell (PSC) with a power conversion efficiency (PCE) of up to 26.07%.
A research team led by Prof. YE Jichun from the Ningbo Institute of Materials Technology and Engineering of the Chinese Academy of Sciences, has developed a novel multifunctional cage-like diammonium chloride molecule. This molecule effectively minimizes interfacial energy losses, allowing the resulting perovskite/silicon tandem solar cells (TSCs) to achieve high efficiency and stability.
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