Researchers are exploring ways to maintain excellent electrical and thermal performance while achieving material repairability, recyclability and biodegradability. The aim is to create a green, closed-loop electrical insulation system. This transition represents a significant technological challenge, but is also an essential pathway for the power industry to achieve sustainable development.

Microscopy plays a pivotal role in modern biomedical research, enabling the visualization of fine structures in complex specimens. Fourier ptychographic microscopy (FPM) is a computational imaging technique that combines multi-angle illumination with numerical reconstruction to achieve both high resolution and a wide field of view on standard microscope hardware. However, for samples with thickness variation, tilt, or inherently three-dimensional structures, the limited depth of field means that only a narrow focal region appears sharp, while out-of-focus areas remain blurred. This fundamentally constrains the applicability of conventional FPM to real 3D biological specimens. To address this challenge, the authors propose an all-in-focus FPM framework that integrates three-dimensional implicit neural representations with a physics-based imaging model, enabling uniformly sharp reconstructions across the entire depth range and substantially improving the performance of downstream tasks such as image segmentation. This is particularly important for research that requires obtaining the full cell morphology, statistical feature distribution, or conducting large-scale cell behavior analysis. By significantly enhancing the usability of three-dimensional sample imaging, this method provides a more reliable image foundation for high-throughput cell phenotypic analysis, pathological screening, and other life science scenarios.

Recently, a research team led by Professor Xie Huiqi at Sichuan University conducted a systematic review of dual-function biomaterials that combine anti-tumor and bone regeneration capabilities for postoperative osteosarcoma treatment. The article categorizes existing research findings into three design strategies: conventional dual-function strategies, enhanced anti-tumor strategies, and temporally regulated strategies. It further explores their design principles, therapeutic efficacy, and potential for clinical translation. This review aims to provide insights for establishing an integrated "anti-tumor and bone regeneration" treatment model and offers perspectives on future research directions in the field. The related work, entitled "Dual-Function Biomaterials for Postoperative Osteosarcoma: Tumor Suppression and Bone Regeneration," has been published in Research.

Ocean data assimilation systems combine data assimilation with numerical ocean models to predict ocean conditions. Researchers recently created the Yin-He Global Ocean Data Assimilation and Forecast System (YHGO) to provide more accurate estimations of oceanic conditions than older platforms.