As humanity's exploration of the Earth's internal structure deepens, Earth's free oscillations, serving as crucial "fingerprints" for revealing the large-scale structure and dynamic processes within the Earth, have always been a core subject in geophysics. Ground-based station observations are currently the mainstream method for measuring Earth's free oscillations. With the advancement of space technology, high-precision inter-satellite distance measurement holds the potential to become a novel method for detecting these oscillations.

In a recent paper published in Space: Science & Technology, a research team from the School of Physics and Astronomy at Sun Yat-sen University, in collaboration with the TianQin Research Center for Gravitational Physics, proposed a novel detection and analysis method for Earth's free oscillations utilizing the "TianQin" space-borne gravitational wave detector. The study constructed a theoretical response model for Earth's free oscillations within the TianQin detector and derived their analytical waveform for high-orbit satellite laser interferometric measurements. Through numerical simulation and Bayesian parameter estimation, the research team demonstrated that for a major seismic event like the 2008 Wenchuan earthquake, TianQin could achieve a clear detection with a signal-to-noise ratio as high as 73 and independently distinguish at least nine different free oscillation modes.

T cell characterization is critical for understanding immune function, monitoring disease progression, and optimizing cell-based therapies. Current technologies to characterize T cells, such as flow cytometry, require fluorescent labeling and are typically destructive endpoint measurements. Nondestructive, label-free imaging methods have been proposed but face limitations with throughput, specificity, and system complexity. In this work, we use static deep-UV images to characterize T cell viability and activation state and dynamic deep-UV time series to quantify intracellular activity for assessment of T cell subtype.

Recent advances in research have focused on immune system variation mainly from a genome perspective. This population-based study (N=1,001 from The Human Phenome Atlas (THPA) cohort) investigated the immune variability from an exposure perspective, and further focused on the roles of the transcriptome and metabolome.

The development of renewable energy is a key path for the global energy structure to transform towards low-carbonization and an important technical direction for addressing climate change. However, battery technology, as the core energy storage carrier, is confronted with multiple challenges such as resource constraints, energy density limitations, and high costs. In this context, rechargeable aluminum batteries (RABs) have emerged as a highly promising next-generation electrochemical energy storage system due to their advantages such as abundant raw materials, low cost and high safety. In a recent review published, Chinese researchers systematically reviewed the related studies of RABs, pointing out that by leveraging the multi-ion cooperative strategy and multi-electron redox reaction mechanism, the long-term bottlenecks of aluminum batteries in reaction kinetics and capacity retention can be effectively broken through, providing a clear technical path for their large-scale practical application.

Space missions are complex, multidisciplinary tasks that involve high risk and high cost. Systems engineering (SE) technology is an emerging discipline used to manage project complexity and ensure mission success . As technology advances and systems become more complex and volatile, SE needs to accommodate the constant reassessment, upgrading, and development of systems . Traditional SE relies on a large number of decentralized documents that cannot keep up with the changes in the system. Therefore, SE is transforming toward digitalization and has led to model-based systems engineering (MBSE), which provides a way to address SE challenges and is emerging as a paradigm and principle of SE. According to the International Council on Systems Engineering, MBSE is “the formalized application of modeling to support system requirements, design, analysis, verification and validation activities beginning in the conceptual design phase and continuing throughout development and later life cycle phase”.Space missions are complex, multidisciplinary tasks that involve high risk and high cost. Systems engineering (SE) technology is an emerging discipline used to manage project complexity and ensure mission success . As technology advances and systems become more complex and volatile, SE needs to accommodate the constant reassessment, upgrading, and development of systems . Traditional SE relies on a large number of decentralized documents that cannot keep up with the changes in the system. Therefore, SE is transforming toward digitalization and has led to model-based systems engineering (MBSE), which provides a way to address SE challenges and is emerging as a paradigm and principle of SE. According to the International Council on Systems Engineering, MBSE is “the formalized application of modeling to support system requirements, design, analysis, verification and validation activities beginning in the conceptual design phase and continuing throughout development and later life cycle phase”.