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Science China Press


Solving the jigsaw puzzle of regional carbon budgets

A new study has provided the first global 'bottom-up' terrestrial carbon budget, estimating a net sink of -2.2 ± 0.6 Pg C y-1 between 2000 and 2009. The study reveals that a significant portion of carbon fixed in terrestrial ecosystems is lost through fires, emissions, and export to rivers, rather than being retained in the soil.

SourceScience China Press·JournalNational Science Review·DateJul 24, 2020

Butterfly wings inspiring next-gen technological innovations

Researchers have successfully fabricated various sensor and energy systems inspired by butterfly wings, including thermal, medical, and vapor sensors, anti-counterfeit security devices, and photovoltaic systems. These systems demonstrate competitive efficiency and performance to similar systems inspired by other natural species.

SourceScience China Press·JournalNational Science Review·DateJul 14, 2020

Towards climate resilient urban energy systems

The article emphasizes the importance of climate resilience in urban energy systems to address climate change and extreme events. Nik and colleagues provide an overview of current progress in adapting urban energy systems to climate change, highlighting limitations in existing approaches.

SourceScience China Press·JournalNational Science Review·DateJul 8, 2020

Solar Ring mission: A new concept of space exploration for understanding Sun and the inner heliosphere

The Solar Ring mission aims to study the Sun and its influence on the inner heliosphere using a novel six-spacecraft configuration. The mission will provide unprecedented capabilities, including determining the photospheric vector magnetic field with unambiguity and resolving solar wind structures at multiple scales.

SourceScience China Press·JournalScience China Technological Sciences·DateJun 1, 2020

Deep learning: A new engine for ecological resource research

A recent study explores the application of deep learning in ecological resource research, addressing challenges such as multi-source/multi-meta heterogeneity and high dimensional complexity. The study highlights the potential of deep learning in connecting computer science with classical theoretical sciences in ecology.

SourceScience China Press·JournalScience China Earth Sciences·DateMay 21, 2020

Intent defined optical network for intelligent operation and maintenance

Researchers developed an intent-defined optical network (IDON) with artificial intelligence-based automated operation and maintenance to address the challenges of manual configuration. IDON achieves intent-oriented configuration conversion, adaptive generation and optimization strategies, and closed-loop intent-guaranteed operations, d...

SourceScience China Press·JournalScience China Information Sciences·DateMay 19, 2020