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 has constructed a copper (Cu) single-atom catalyst with a nitrogen-coordination structure. They used two-dimensional g-C3N4, derived from melamine pyrolysis, as a carrier to achieve efficient electrocatalytic urea synthesis under mild conditions.
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.
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.
A new study has challenged the long-standing assumption that global warming will inevitably turn humid subtropical forests into carbon sources, revealing these ecosystems may instead continue accumulating soil carbon under moderate temperature rises.
A research team from the Wuhan Botanical Garden of the Chinese Academy of Sciences has found evidence confirming the universality of microbial community convergence during succession, regardless of the type of succession or initial environmental conditions.
A collaborative research team has analyzed mitochondrial genome data from 97 stonefly species—representing all 17 of the order's extant families—and applied an integrative analytical framework combining multiple evolutionary models. The team was led by Prof. CAI Chenyang from the Nanjing Institute of Geology and Palaeontology of the Chinese Academy of Sciences, and Prof. DU Yuzhou from Yangzhou University.
Scientists from the Institute of Applied Ecology have made new progress in improving the accuracy of both gross primary productivity and evapotranspiration simulations. The findings are expected to provide methodological support for evaluating carbon and water fluxes across diverse ecosystems at regional scales.
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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