A research team from the Institute of Oceanology of the Chinese Academy of Sciences (IOCAS) utilized a Stepwise Feed-Forward Neural Network (Stepwise FFNN) algorithm. They integrated observational data from the Global Ocean Data Analysis Project (GLODAP) to create a global monthly 3D gridded pH dataset spanning the past 30 years.
A research team led by Prof. LUAN Fubo from the Research Center for Eco-Environmental Sciences of the Chinese Academy of Sciences, has uncovered a novel mechanism involving a ternary surface complex on titanium dioxide (TiO₂) that improves the simultaneous removal of arsenic (As) and uranium (U) from contaminated groundwater.
A breakthrough study using ground-penetrating radar has identified the optimal planting density for Mongolia pine plantations in China's arid regions, offering a science-backed solution to combat tree die-offs threatening anti-desertification efforts.
Scientists have long sought to determine the age of the Moon's South Pole–Aitken (SPA) basin, the largest and oldest known impact crater on the lunar surface. Recently, a research team led by Prof. CHEN Yi from the Institute of Geology and Geophysics at the Chinese Academy of Sciences, has dated the formation of the basin to 4.25 billion years ago by analyzing the first-ever rock samples returned from the SPA basin by China's Chang'e-6 mission.
A research team led by Associate Prof. SHAO Zhanru from the Institute of Oceanology of the Chinese Academy of Sciences (IOCAS), employed metagenomic sequencing to conduct a comprehensive assessment of ARGs in the Yellow Sea and Yangtze River Delta.
Freshwater ecosystems require adequate oxygen levels to sustain aerobic life and maintain healthy biological communities. However, both long-term climate warming and the increasing frequency and intensity of short-term heatwaves are significantly reducing surface dissolved oxygen (DO) levels in lakes worldwide, according to a new study published in Science Advances.
86-10-68597521 (day)
86-10-68597289 (night)
52 Sanlihe Rd., Xicheng District,
Beijing, China (100864)
Copyright © 2002 - Chinese Academy of Sciences
