Researchers reveal key factors behind Japan’s plastic waste removal rates in rivers
Peer-Reviewed Publication
Updates every hour. Last Updated: 30-Apr-2025 16:08 ET (30-Apr-2025 20:08 GMT/UTC)
Plastic pollution is a growing problem in Japan, prompting cleanup efforts to recover plastic litter from water bodies. However, research on recovery rates from different river basins remains limited. In a recent study, researchers from Japan conducted a nationwide analysis of plastic litter recovery in over 100 river basins, shedding light on the impact of climate change, population density, and natural disasters. Their findings will help inform future cleanup strategies and improve plastic management.
This paper introduces WisdomBot, a novel Large Language Model (LLMs) designed specifically for education. By incorporating educational theories and specialized knowledge, WisdomBot aims to overcome the limitations of general LLMs in educational domain. The model utilizes self-instructed knowledge concepts and instructions guided by Bloom’s Taxonomy for training. Additionally, during inference, it employs local knowledge base retrieval augmentation and search engine retrieval augmentation to enhance accuracy and professionalism of its responses. Experiments demonstrate the effectiveness of WisdomBot in generating reliable and professional educational content.
The Herbert Wertheim School of Public Health and Human Longevity Science at University of California San Diego is creating programs to improve safety for all roadway users, including drivers, pedestrians and cyclists. With support from two grants from the California Office of Traffic Safety through the NHTSA, the school is developing an educational program geared towards Native American youth as well as new online courses to improve older driver safety.