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New Study Reveals How Dark-Colored Lichens Are Overlooked in Antarctic Vegetation Mapping
A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS), in collaboration with the Center for Advanced Studies in Earth Sciences and Biodiversity (CADIC-CONICET), Argentina, has revealed major blind spots in current Antarctic vegetation mapping caused by the poor detectability of dark-colored lichens.
Nov 12, 2025
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Dual-Mode Design Significantly Enhances MEMS Accelerometer Performance, Study Finds
A recent study published in Microsystem & Nanoengineering introduces an innovative solution to the persisting challenges in Micro-Electro-Mechanical Systems (MEMS) resonant accelerometers: temperature drift and measurement dead zones. By adopting a dual-mode operating scheme that effectively separates the operating frequencies of the differential beams, the researchers achieved notable improvements in the sensor's accuracy and overall performances.
Nov 11, 2025
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Chinese Scientists Test Unmanned Glacier Penetrating Radar on Bayi Glacier
A research team from the State Key Laboratory of Remote Sensing and Digital Earth, in collaboration with the Laboratory of Electromagnetic Radiation and Detection Technology at the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS), has successfully completed field testing of a self-developed unmanned vehicle-mounted glacier penetrating radar on the Bayi Glacier in the central Qilian Mountains. The tests ran from October 10 to 25, 2025.
Nov 05, 2025
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Africa's Great Green Wall Holds Great Potential for Land Degradation Neutrality, Study Finds
A new study published in Scientific Reports has evaluated land productivity dynamics (LPD) across the African Great Green Wall (GGW) from 2013 to 2022, offered a decade-long perspective on one of the world’s most ambitious initiatives to combat desertification in the Sahel. It aims to assess progress toward the United Nations’ Sustainable Development Goal (SDG) 15.3 for Land Degradation Neutrality (LDN) and identify the key factors driving land productivity change to guide more effective restoration strategies.
Oct 31, 2025
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Novel Field-Theoretic Framework Unlocks Universal Evolutionary Patterns of Competitive Systems in Nature
A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS), led by DENG Chubo and SUN Xian, has developed a field-theoretic framework to address this issue. Their findings, published in Scientific Reports, reveal that competitive systems universally converge to three distinct evolutionary regimes—Stable Equilibrium, Periodic Oscillations, or Progressive Dominance and Elimination. The discovery offers a robust theoretical tool to explain and predict antagonistic phenomena across disciplines.
Oct 31, 2025
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