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 led by Prof. ZHANG Shihua from the Academy of Mathematics and Systems Science has proposed a new computational tool, STAGATE, to decipher tissue substructures from spatial resolved transcriptomics. The model uses artificial intelligence technology to integrate spatial location information and gene expression profile of spatial spots. In this algorithm, a graph attention autoencoder is introduced, with a graph attention mechanism in the middle hidden layer, which can learn the heterogeneous similarities between neighboring spots adaptively.
A recent study reveals new insights into the triggering mechanisms of solar microflares and the self-similarity of solar flares. This research was led by Prof. BI Yi from the Yunnan Observatories of the Chinese Academy of Sciences.
A research team from the Ningbo Institute of Materials Technology and Engineering of the Chinese Academy of Sciences has proposed a hybrid transfer and epitaxy strategy, enabling the heterogeneous integration of single-crystal oxide spin Hall materials on silicon substrates for high-performance oxide-based spintronic devices.
A study by HE Zhuohao’s team from the Shanghai Institute of Organic Chemistry of the Chinese Academy of Sciences, along with collaborators, has revealed the critical role of the “fuzzy coat” of α-synuclein—the flexible, disordered regions that extend from the fibril core—in prion-like pathological transmission in synucleinopathies.
A research team led by Prof. LIU Gang from the Institute of Metal Research (IMR) has achieved a breakthrough in photocatalytic water splitting by developing a scandium-doped titanium dioxide semiconductor in the rutile crystal phase.
A study led by Prof. HAN Bin's team at the Center for Excellence in Molecular Plant Sciences of the Chinese Academy of Sciences has constructed an unprecedented pangenome map of wild and cultivated rice, and decoded the genetic architecture and diversity of rice. This study provides a powerful resource for breeding and agricultural innovation, and offers new insights into the evolutionary and domestication history of rice.
Researchers from Xishuangbanna Tropical Botanical Garden of the Chinese Academy of Sciences provided clear insights into the concept that changes in elevational gradients driven by shifts in climate and vegetation play a pivotal role in altering the patterns of toxic elements accumulation in montane ecosystems.
A recent study offers a comprehensive analysis of how updates to the baseline influence the detection of extreme climate events across China. The study highlights that modifying the baseline significantly alters the intensity, trends, and timing of detectable climate signals across the Chinese mainland.
A recent study led by CHEN Yaning from the Xinjiang Institute of Ecology and Geography reveals that the frequency, intensity, and duration of extreme precipitation events in arid Northwest China have significantly increased due to global warming. These changes pose a serious challenge to the region's water resources and disaster management strategies.
An international research team has developed the world's first 30-meter resolution dataset to track changes in land productivity, a crucial tool for fighting global land degradation.
A research team led by Prof. SHI Chong from the Aerospace Information Research Institute of the Chinese Academy of Sciences, in collaboration with Japanese scientists, has made a significant advancement in satellite-based air quality monitoring. They have developed AIRTrans, an innovative algorithm that greatly improves the accuracy and efficiency of retrieving key aerosol properties from multispectral satellite observations.
A team of scientists led by Prof. LIU Zhaoping at the Ningbo Institute of Materials Technology and Engineering of the Chinese Academy of Sciences, has developed zero thermal expansion materials. This innovation has achieved nearly 100% voltage recovery in aging lithium-ion batteries.
A new study has revealed that current satellite systems underestimate total CO₂ emissions from U.S. thermal power plants by 70% (±12%). The research, led by scientists from the Aerospace Information Research Institute of the Chinese Academy of Sciences, highlights important gaps in remote sensing technology.
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