A research team led by Prof. XIE Chengjun and ZHANG Jie at the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, has developed a new method for improving remote sensing images called Pan-Mamba. This method uses the Mamba model, which is known for efficiently capturing long-range dependencies in data. It combines low-resolution multispectral images with high-resolution panchromatic images to create clearer, high-resolution multispectral images.
Recently, the research team led by Professor WU Lifang from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, developed copper pyrazole, a novel nitrification inhibitor, and a slow-release fertilizer coated with it.
Recently, a research team led by Professor JIANG Changlong at the Institute of Solid State Physics, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, has developed a new donor-acceptor (D-A) type fluorescent dye called AFL. This dye changes its fluorescence color and intensity depending on solvent polarity and temperature, making it useful for quick visual monitoring.
Recently, a research team from the Institute of Intelligent Machines, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, proposed a novel variable selection algorithm for neural network , which they named VSNN. This algorithm aims to improve spectral data analysis in nonlinear models.
A research team led by Prof. Huang Qing at the Hefei Institutes of Physical Science, Chinese Academy of Sciences, developed an advanced biosensing platform using aptamer-based surface-enhanced Raman scattering (Aptamer-SERS) technology to detect Alzheimer’s-related biomarkers in blood samples with high sensitivity，which helped Alzheimer's disease (AD) diagnostics