The study developed a 10-meter resolution global dataset of centralized photovoltaic (PV) power plants.
As one of the most promising renewable energy technologies worldwide, photovoltaic (PV) power plays a pivotal role in achieving carbon neutrality, and accurately locating PV power plants and tracki...
The study developed the motion–intensity joint correction framework specifically tailored to CEST-MRI.
Chemical Exchange Saturation Transfer (CEST) MRI is a molecular imaging approach that can sensitively probe tissue metabolism and microenvironment through frequency-selective saturation and exchang...
The study reveals how Bacteroides fragilis activates a previously unrecognized cholinergic gut–vagus–brain circuit and demonstrates its therapeutic potential in both animal models and children wi...
In a study published in Neuron on January 16, a research team led by Prof. LIU Xin'an and Prof. CHEN Zuxin from the Shenzhen Institute of Advanced Technology (SIAT) of the Chinese Academy of Scienc...
This study established a structural proteome database and structure-based retrieval framework for the human gut microbiome, significantly improving the ability to predict functional "dark matter" s...
Despite rapid advances in microbiome research, a large proportion of proteins encoded by the human gut microbiome remain functionally uncharacterized. Sequence-based methods often fail to annotate ...
Research team has developed a label-free intraoperative navigation system based on surface-enhanced Raman scattering (SERS) that enables real-time, in situ grading of prostate tumor malignancy by s...
Precise identification of tumor boundaries during radical prostatectomy remains a major clinical challenge, with positive surgical margins occurring in 15–40% of prostate cancer cases, significant...
A "scientific diagnosis report" on the estuarine carbon cycle.
The coastal ecosystems of the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) faces pressure from high-intensity anthropogenic activities, making the high-resolution scientific assessment of its c...
This work has uncovered a previously unknown neuronal signalling mechanism that amplifies brain injury after ischaemic stroke.
For ischaemic stroke patients, although revascularisation therapies such as intravenous thrombolysis and mechanical thrombectomy restore blood flow, many of them still experience secondary haemorrh...
This work developed a generalizable vision-language model for Annotation-Free pathology Loclization (AFLoc), which demonstrates superior performance in localizing pathologies and supporting diagnos...
Accurate localization of pathologies in medical images is crucial for precise diagnosis and effective treatment. While deep learning has greatly advanced medical image analysis, most existing model...