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.
Prof. ZHANG Wenfu's team from the Xi'an Institute of Optics and Precision Mechanics proposed an on-chip cross dual-microcomb ranging method based on dispersion interferometry. This method resolves the asynchronous measurement error issue by eliminating secondary measurements.
A new theoretical study led by researchers at the Institute of Modern Physics has revealed the failure of number-of-constituent-quark scaling in the low-energy region, casting doubt on the traditional understanding of this Quark-Gluon Plasma probe.
Scientists have delineated the critical atomic-scale mechanism that enables water to significantly enhance platinum (Pt)-catalyzed biomass conversion, according to a recent study.
Researchers from the Dalian Institute of Chemical Physics of the Chinese Academy of Sciences and Shanghai Jiao Tong University developed a powerful systems biology method, and uncovered how yeast adapts to different environments at a systems level through strain-specific metabolic modeling.
A research team co-led by Prof. WANG Faming from the South China Botanical Garden of the Chinese Academy of Sciences, along with collaborators, has discovered that heat can "awaken" this ancient carbon, converting it into a food source for microbes living far below the seafloor.
A research team led by Prof. LIU Xuncheng at the South China Botanical Garden of the Chinese Academy of Sciences has shed new light on how plants fine-tune their response to far-red light. Their findings were recently published in the journal Molecular Plant. This study reveals that the stability of Arabidopsis' far-red light receptor, phytochrome A, is dynamically regulated by lysine acetylation—a post-translational modification. Histone Deacetylase 2—a lysine deacetylase—plays a key role in promoting phyA degradation and governing seedling development under specific light conditions.
Researchers led by Profs. YAN Xiaoyuan and XIA Longlong from the Institute of Soil Science showed that biochar can deliver lasting benefits for food security and climate mitigation when applied to farmland over the long term.
A new study by researchers from the Institute of Applied Ecology has revealed a stark and growing inequality in urban flood exposure across the globe, with developing nations facing risks that are multiples higher than their wealthier counterparts.
A recent study offers the first city-level analysis of urban sustainability trends across over 7,000 urban centers in the Belt and Road Initiative region. Using multi-temporal Earth observation data, the study assesses two indicators tied to Sustainable Development Goal 11—Land Use Efficiency and population-weighted PM2.5 concentrations—from 2000 to 2020. It delivers a spatiotemporal breakdown of how urban expansion and environmental exposure intersect with sustainability.
A research team led by Prof. CHENG Tianhai from the Aerospace Information Research Institute of the Chinese Academy of Sciences has made a breakthrough by developing a high-resolution satellite remote sensing method to quantify global methane emissions from landfills.
A research team from the Ningbo Institute of Materials Technology and Engineering of the Chinese Academy of Sciences has developed a new method to enhance the efficiency of dynamics modeling for industrial robots, tackling long-standing bottlenecks in real-time torque computation.
A research team led by Prof. SUN Youwen from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed two innovative artificial intelligence systems to enhance the safety and efficiency of fusion energy experiments.
86-10-68597521 (day)
86-10-68597289 (night)
52 Sanlihe Rd., Xicheng District,
Beijing, China (100864)
Copyright © 2002 - Chinese Academy of Sciences
