In the field of Large Language Models(LLMs) vertical applications, the innovative direction of deeply integrating foundational LLMs with industrial scenarios has emerged. Researchers have developed an intelligent decision support system for CNC system fault diagnosis, utilizing LLMs and domain knowledge graph(KG) technologies. This advancement effectively overcomes the limitations of typical expert systems in symbolic reasoning efficiency and accuracy. The study, published in Engineering, provides insights and methods for the practical application of industrial large models.

New research from the University of Georgia is shedding light on how different countries are preparing for how AI will impact their workforces.

A new national guideline provides evidence-based recommendations for diagnosing, treating, and preventing pediatric respiratory syncytial virus (RSV) infections in China. Addressing 12 clinical questions, it guides clinicians on diagnostic methods, oxygen therapy, use of interferon-alpha, and nirsevimab prophylaxis. The guideline discourages unnecessary medications and emphasizes supportive care and long-term monitoring. Developed by leading experts and published in Pediatric Investigation, it aims to standardize care, reduce hospitalizations, and reflect China’s RSV burden and seasonal trends.

A novel power supply technology for 3D-integrated chips has been developed by employing a three-dimensionally stacked computing architecture consisting of processing units placed directly above stacks of dynamic random access memory. Towards realizing this, researchers developed key technologies involving precise and high-speed bonding technique and adhesive technology. These new technologies can help in addressing the demands of high-performance computing applications, which require both high memory bandwidth and low power consumption with reduced power supply noise.  

The bedding micro-environment is a key aspect of obtaining optimal thermal conditions for sleep. Specifically, the total thermal insulation of the bedding micro-environment significantly influences the thermal neutral temperature. However, currently there are no standards for measuring the insulation of bedding. In a new study, researchers systematically examined the thermal insulation of bedding, considering different combinations of bedding, sleepwear, and ambient temperatures, including both whole and local body effects. 

Conjugated polymers (CPs) have emerged as an interesting class of materials in modern electronics and photonics, characterized by their unique delocalized π-electron systems that confer high flexibility, tunable electronic properties, and solution processability. These organic polymers present a compelling alternative to traditional inorganic semiconductors, offering the potential for a new generation of optoelectronic devices. This review explores the evolving role of CPs, exploring the molecular design strategies and innovative approaches that enhance their optoelectronic properties. We highlight notable progress toward developing faster, more efficient, and environmentally friendly devices by analyzing recent advancements in CP-based devices, including organic photovoltaics, field-effect transistors, and nonvolatile memories. The integration of CPs in flexible sustainable technologies underscores their potential to revolutionize future electronic and photonic systems. As ongoing research pushes the frontiers of molecular engineering and device architecture, CPs are poised to play an essential role in shaping next-generation technologies that prioritize performance, sustainability, and adaptability.

Tim Rials, associate dean of University of Tennessee AgResearch, is the winner of the 2025 Susan E. Duncan Meritorious Service Award from agInnovation South, the coalition of directors of state agricultural experiment stations in Southern states. The group is a regional coalition of the national Association for Public and Land-grant Universities (APLU).