Multilingual Large Language Models (MLLMs) have achieved remarkable success in advancing multilingual natural language processing, enabling effective knowledge transfer from high-resource to low-resource languages. Despite their achievements, MLLMs still face numerous issues and challenges, which can be categorized into three main aspects: corpora, alignment, and bias.

The 2024 Nobel Prize in Chemistry was recently granted to David Baker, Demis Hassabis and John M. Jumper, renowned for their pioneering works in protein design.

Network security has always been the focus of Internet research. In order to better detect these attacks, it is necessary to more accurately evaluate the state performance of the network. The existing measurement methods often only focus on a single or very few indicators.

This study presents a metamaterial-inspired design to develop negative Poisson's ratio (NPR) structural electrodes using a directional freezing 3D printing-assisted strategy. This approach incorporates both macroscopic NPR structures and microscopic directional porous structures, which enhances ion transport, improves compressibility and provides impact resistance, effectively preventing package bulges during compression. Consequently, the electrodes demonstrate a high 50% compressible deformation and recover their original state even after 50 cycles of 25% compression. The 3D-printed lithium iron phosphate cathodes deliver a high average specific capacity of 153 mAh/g over 100 cycles and exhibit outstanding rate capability. Furthermore, the assembled full cell maintains both excellent compressibility and impact-buffered resistance, highlighting its potential applications. This innovative design of NPR metamaterial-structured electrodes provides a universal platform for developing the next generation of impact-buffered, compressible structural batteries.