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Chinese Academy of Sciences Headquarters


Scientists construct first complete energy spectrum of solar high-energy protons in Martian space

Researchers constructed the first complete proton energy spectrum observed during a solar event in Martian space, providing critical data for radiation protection in future Mars missions. The study successfully calculated the radiation dose caused by the event and validated the accuracy of the Tianwen-1 MEPA data.

SourceChinese Academy of Sciences Headquarters·JournalGeophysical Research Letters·DateNov 25, 2024

AI-RACS: Innovative tool for mining aluminum-tolerant strains in acidic soils

Scientists have developed an innovative system using artificial intelligence and Raman spectroscopy to identify and isolate aluminum-tolerant microorganisms from acidic soils. The AI-RACS system enables high-throughput automated workflows for functional analysis of specific microbes, uncovering new perspectives on microbial survival an...

SourceChinese Academy of Sciences Headquarters·JournalAnalytical Chemistry·DateNov 22, 2024

Researchers develop ramanome-based metastatic assessment index to enhance cancer metastasis prediction

Researchers developed a novel Ramanome-based Metastasis Index to rapidly and accurately assess cancer cells' metastatic potential. The tool combines single-cell Raman spectra with machine learning, providing a comprehensive molecular profile of cancer cells and highlighting lipid-related peaks as key determinants.

Researchers characterize mechanism for regulating orderly zygotic genome activation in early embryos

In Drosophila embryos, the pioneer transcription factors Zelda and GAF regulate timely gene expression. Researchers identified HIRA's interaction with dPCIF1 to control premature activation of GAF, ensuring orderly genome activation. This mechanism provides new insights into zygotic gene activation regulation.

SourceChinese Academy of Sciences Headquarters·JournalProceedings of the National Academy of Sciences·DateNov 19, 2024

Scientist proposes deducing commonality from complexity to resolve global challenges

Professor LI Jinghai proposes Mesoscience, a concept exploring common principles among complex systems at mesoscales. This approach aims to identify and develop solutions for global challenges such as climate change, human health, and sustainable development goals.

SourceChinese Academy of Sciences Headquarters·JournalProceedings of the Royal Society A Mathematical Physical and Engineering Sciences·DateNov 18, 2024

Scientists develop advanced catalyst for self-driven seawater splitting with enhanced chloride resistance

Researchers have developed a new electrocatalyst called Co-N/S-HCS that demonstrates remarkable activity and stability in seawater electrolysis, offering a sustainable solution for hydrogen production. The catalyst shows improved resistance to chloride ion corrosion, enabling long-term stability and high performance.

SourceChinese Academy of Sciences Headquarters·JournalChem Catalysis·DateNov 12, 2024

Researchers develop reinforcement learning-based enhanced sampling method for studying dynamic systems

A new reinforcement learning-based enhanced sampling method, Adaptive Collective Variables Generator (Adaptive CVgen), has been developed to capture the dynamic evolution of microscopic systems. The method offers precise and localized views of system evolution, detecting minute local changes in protein folding and chemical reactions.

SourceChinese Academy of Sciences Headquarters·JournalProceedings of the National Academy of Sciences·DateNov 3, 2024

Researchers advance ideas on abiotic organic synthesis

A Chinese research team has made a significant breakthrough in understanding the origin of life by discovering abiotic organic compounds in the oceanic crust. The researchers proposed a molecular mechanism for organic condensation, revealing a crucial role of goethite in catalyzing the synthesis of abiotic carbonaceous matter.

SourceChinese Academy of Sciences Headquarters·JournalProceedings of the National Academy of Sciences·DateOct 17, 2024

Canopy structure regulates autumn phenology by mediating microclimate in temperate forests: Study

A study revealed that canopy structure significantly influences local-scale variations in autumn phenology by mediating microclimate conditions. Complex canopies delay leaf senescence through reduced light availability and temperature buffering. The findings improve prediction accuracy for autumn phenology models.

SourceChinese Academy of Sciences Headquarters·JournalNature Climate Change·DateOct 15, 2024