The Earth system is on the verge of irreversible transition: Chinese scientists propose a new framework for prediction of tipping points
Peer-Reviewed Publication
Updates every hour. Last Updated: 30-Dec-2025 09:11 ET (30-Dec-2025 14:11 GMT/UTC)
At present, the shift from carbon sink to source in the Amazon rainforest, large-scale mortality of low-latitude coral reefs, and accelerated thawing of permafrost are all leading to the cascading breakthrough of critical tipping points in ecosystems, posing ecological risks that threaten the very foundation of human survival. Science Bulletin has published online the research of Professor Yanfen Wang's team from the University of Chinese Academy of Sciences, titled "A framework for quantifying state transitions in complex ecosystems using energy flow networks," This study deeply integrates energy flow networks with Nash equilibrium game theory to construct a new analytical framework that can quantitatively analyze the mechanism of ecosystem steady-state transitions, providing a valuable time window for global ecological governance and offering decision-making basis for adaptive ecosystem management.
In a paper published in National Science Review, Professor Yan Shi and his graduate student Shihan Dai from Xidian University, China, proposed a novel multi-target simultaneous intelligent detection approach based on space-time-coding metasurfaces and software defined radio technologies, with experimental validation across diverse liquid samples under complicated ambient conditions.
The reactive oxygen species (O*) released from the Nickel-rich layered oxide cathodes (LiNixCoyMn1−x−yO2, NCM) are responsible for triggering thermal runaway (TR) in lithium-ion batteries (LIBs). Specifically, the charge compensation from transition metal (TM) 3d to oxygen (O) 2p in NCM plays a pivotal role in O* release. Here, inspired by the strong chelating effect of sodium phytate (PN) on TM, this study utilizes PN as a cathode additive to interact with nickel, weaken the charge compensation of TM 3d to O 2p on the surface of LiNi0.8Co0.1Mn0.1O2 (NCM811) and enhance the battery safety. It is shown that the chelation successfully stabilizes lattice oxygen and inhibits O* release, preventing harmful phase transitions in NCM811 and attenuating heat generation from O* related crosstalk reactions. Consequently, the TR trigger temperature (Ttr) of NCM811 pouch cell with PN increases from 125.9 to 184.8 °C, while the maximum temperature (Tmax) decreases from 543.7 to 319.7 °C. Moreover, the PN-modified layer allows NCM811 to be cycled stably for over 700 cycles at 4.6 V. This strategy provides a facile method for stabilizing lattice oxygen in NCM, inhibiting O*-triggered TR, and enhancing high-voltage performance.
Human-robot interaction (HRI) depends on advanced sensing technologies to ensure both safety and efficiency. However, most current robotic sensors offer limited functionality. This study presents a fully soft robotic sensor with four integrated sensing capabilities: spatial proximity sensing, non-contact thermal sensing, contact-based thermal sensing, and mechanical force sensing. This multipurpose sensor enables precise detection of thermal and mechanical stimuli in both contact and non-contact manners. When integrated with a soft gripper and robotic arm, the robotic sensor demonstrated robust performance across a range of HRI scenarios. This technique could advance robotic perception and adaptability in complex environments.
It has long been recognized that sweat is a rich source of physiological information. However, its inherent inaccessibility of sweat in sedentary individuals and scenarios has restricted broader applications in health monitoring. Now, writing in the journal National Science Review, a team of researchers presents an autonomous fabric electrochemical biosensor that addresses this challenge. The device integrates biosensing fibers and a low-current iontophoresis module based on a skin-interfaced stabilized hydrogel (SSIH) electrode into a breathable textile platform, enabling gentle and efficient sweat induction. With its skin-conforming design and imperceptible operation, the system enables intuitive health interaction suitable for diverse users and everyday wear.
Can cities continue to grow without destroying the planet? A new study from the Institute of Environmental Science and Technology at the Universitat Autònoma de Barcelona (ICTA-UAB), Spain, offers insight into this complex issue. While there is no general answer to the question of whether sustainable urban growth is possible, as it depends on local physical conditions and development levels, what is clear is that continued urban growth is not desirable everywhere. More sustainability will require rigorous planning, effective governance, and a critical reassessment of dominant development narratives.
Se Jin Park, a researcher from Professor Yong Man Ro’s team at KAIST, has announced 'SpeechSSM', a spoken language model capable of generating long-duration speech that sounds natural and remains consistent.