This study proposes a mechanism-data dual-driven framework to address the challenge of balancing water conservation, carbon emission reduction, and aquatic ecosystem preservation in China's industrial sector at minimal cost. It involves developing hybrid models for water-use and treatment processes and establishing a superstructure optimization model. This model identifies the optimal pathway for simultaneous water saving and carbon mitigation, supporting cost-effective decisions for industrial park water network optimization. Case studies confirm the framework's effectiveness in balancing economic and environmental benefits.

As the number of wireless applications and devices grows, higher standards for the quality of service and navigation performance of mobile networks are required. Numerous critical applications, including unmanned aerial vehicles, internet of things, digital twin, and military systems, require reliable communication and accurate navigation services. To meet these requirements, the development of the sixth generation (6G) network is necessary. 6G networks provide seamless 3-dimensional coverage in space–air–ground–sea area, as well as deep coupling of communication, sensing, and computation. 6G networks will be combined with low Earth orbit (LEO) satellites to construct a universal and intelligent integrated system of communication, sensing, and computing by utilizing the benefits of LEO satellites, such as miniaturization, modularity, large bandwidth, low latency, and wide area coverage. One of the critical construction tasks in this system is the integration of communication and navigation (ICAN), which can break the limitations of the global navigation satellite system, provide high-precision, robust navigation capability, and enable high- quality communication services.

Space manipulators play an important role in the on-orbit services and planetary surface operation whose reliability is a key issue. In the extreme environment of space, space manipulators are susceptible to a variety of unknown disturbances. Since it is difficult for the manipulator to be repaired immediately, once it fails, it will mean that it cannot complete the mission as expected, which may cause serious losses and dangers. How to have a resilient guarantee, i.e., the manipulator’s ability to resiliently recover and continue to complete tasks, in failure or disturbance is the core capability of its future development. The motion planning unit is used as the computing terminal of the manipulator’s joint motion trajectory. Compared with traditional motion planning, learning-based motion planning has gradually become a hot spot in current research. However, no matter what kind of research ideas, the single robotic manipulator is studied as an independent agent, making it unable to provide sufficient flexibility under conditions such as external force disturbance, observation noise, and mechanical failure.

Researchers at Oregon State University have developed a quick-setting, environmentally friendly alternative to concrete they hope can one day be used to rapidly 3-D print homes and infrastructure.

In a visionary commentary that bridges the gap between theory and practice, leading environmental scientists from China are pioneering a new approach to assessing the health of aquatic ecosystems. Titled "Aquatic Ecosystem Health Assessment in China Based on Metacommunity Theory: From Theory to Practice," this insightful piece is co-authored by Prof. Xiaowei Jin from the China National Environmental Monitoring Centre and Prof. Fengchang Wu from the State Key Laboratory of Environmental Criteria and Risk Assessment, both based in Beijing, China. Their work offers a fresh perspective on how metacommunity theory can be applied to real-world environmental challenges.