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.
Researchers from the Yunnan Observatories of the Chinese Academy of Sciences have unveiled a neural network-based automated method for identifying heartbeat stars—a rare type of binary star system.
A research team from the University of Chinese Academy of Sciences has revealed the failure mechanism of diamond under extreme electrical fields through in situ experiments and molecular dynamics simulations, providing critical insights for the design of robust diamond devices.
SHEN Qilong's lab from the Shanghai Institute of Organic Chemistry of the Chinese Academy of Sciences, along with Professor K. N. Houk from the University of California, Los Angeles, provided solid evidence that the Ullmann-type reaction might proceed via a Cu(I)/Cu(III)/Cu(II)/Cu(III)/Cu(I) catalytic cycle.
A research team led by Prof. YUAN Junying and Prof. LIU Cong from the Shanghai Institute of Organic Chemistry of the Chinese Academy of Sciences revealed that amyloid fibrils formed by necroptosis mediators, RIPK1 and RIPK3, don’t just form within dying cells, they can also escape the cell and trigger necroptotic death in neighboring cells.
Convergent evolution—where distinct species independently evolve similar traits or functions, such as the wings of birds and bats—has long fascinated biologists. Now, a research team led by Prof. ZOU Zhengting from the Institute of Zoology of the Chinese Academy of Sciences, has introduced a deep learning-based method to unravel the complex molecular mechanisms driving this phenomenon.
Researchers from Xishuangbanna Tropical Botanical Garden of the Chinese Academy of Sciences and Freie Universität Berlin showed that dance-following bees combine the dance vector with their cognitive memory of landmarks, and the follower bees form an expectation of the landscape features after learning the information of waggle dances.
As global temperatures rise, thermal expansion of oceans and melting ice sheets are driving up sea levels worldwide. In many coastal areas, land subsidence further exacerbates flood risks. However, a new study reveals that in China, policy decisions on where and how to develop coastal land may have a more significant impact on future flooding than climate change itself.
A research team led by Drs. LIANG Chao and ZHU Xuefeng from the Institute of Applied Ecology has developed a novel framework to evaluate the soil microbial carbon pump (MCP), offering new insights into long-term carbon sequestration and sustainable soil management.
A research team has developed a nanocomposite-modified microelectrode array (MEA) that enables long-term, high-sensitivity monitoring of neuronal activity during hibernation. The study, led by Prof. CAI Xinxia from the Aerospace Information Research Institute of the Chinese Academy of Sciences, sheds light on how specific brain cells sustain life under extremely low metabolic states.
Researchers from the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences and Donghua University reported a soft, movable, long-term implantable fiber electrode called “NeuroWorm,” marking a radical shift for bioelectronic interfaces from static operation to dynamic operation and from passive recording to active, intelligent exploration.
At the 2025 World AI Conference & High-Level Meeting on Global AI Governance, the “Loong Pro” humanoid robot, developed by the National and Local Joint Humanoid Robot Innovation Center, made its official debut.
A research team from the Hefei Institutes of Physical Science and the First Affiliated Hospital of Anhui Medical University has developed a microfluidic platform that enables label-free sorting and functional analysis of neutrophils in sepsis patients.
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