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.
In a new study, a research team led by WANG Junfeng from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed a novel immobilization method for surface plasmon resonance (SPR) assays of membrane proteins, effectively addressing major technical constraints in the field.
Scientists from the Institute of Metal Research have proposed a new deep correlation between the spin splitting torque and the Fermi surface geometry, achieving a quantum limit of 100% in a system with a flat Fermi surface.
A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences (CAS) and the Hefei Cancer Hospital of CAS, has developed a new method to accurately measure hemoglobin levels in blood using near-infrared spectroscopy (NIRS).
A research team from the Xinjiang Technical Institute of Physics and Chemistry of the Chinese Academy of Sciences, has developed a basalt fiber/cotton fiber composite yarn that integrates weavability with multiple functional properties.
A research team led by Prof. CHEN Yaning from the Xinjiang Institute of Ecology and Geography reported new insights into gas-regulated wound signaling in plants. By examining recent advances in the field, the researchers showed that changes in the diffusion dynamics of ethylene and oxygen within plant tissues provide an efficient and rapid means of sensing breaches in surface defenses.
A new Perspective by Prof. XU Cao's team at the Institute of Genetics and Developmental Biology of the Chinese Academy of Sciences highlights a promising pathway to strengthen global food and nutritional security by revitalizing orphan crops, species with greater biodiversity, nutritional value, and local adaptability.
A new study reveals that global progress on numerous SDGs with high initial benchmarks has either stalled or gone into reverse. In contrast, SDG indicators with lower baseline performance continue to register gains. Researchers caution that the vast majority of countries will fail to meet their 2030 SDG targets under current trends.
Researchers from the Institute of Applied Ecology have proposed a structured framework for evaluating the nitrogen (N) status and nitrogen balance of forest ecosystems in the context of rapid global environmental change.
An international research team co-led by Prof. MENG Lingsen of the University of California, Los Angeles, and Prof. ZHANG Yunjun of the Aerospace Information Research Institute of the Chinese Academy of Sciences has reconstructed the earthquake's rupture process and mapped its damage in unprecedented detail using satellite remote sensing combined with seismic observations.
A research team led by Prof. LIU Liangyun from the Aerospace Information Research Institute of the Chinese Academy of Sciences has produced the first comprehensive, high-resolution map of global city and town boundaries, offering a view of how urban boundaries have expanded and transformed over the past two decades.
Researchers from the Institute of Metal Research of the Chinese Academy of Sciences have developed an innovative flexible sensor that can simultaneously detect strain, strain rate, and temperature using a single active material layer, representing a significant advance in multimodal sensing technology.
A research team led by Prof. YE Jichun from the Ningbo Institute of Materials Technology and Engineering of the Chinese Academy of Sciences, in collaboration with partners, has proposed a synergistic technical solution enabling industrial tunnel oxide passivating contact (TOPCon) solar cells to simultaneously achieve high efficiency, low cost, and excellent bifacial power generation performance.
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