Skeletal health unraveled: the critical role of LRP1
Peer-Reviewed Publication
Updates every hour. Last Updated: 8-Jul-2025 11:10 ET (8-Jul-2025 15:10 GMT/UTC)
A new study has unveiled the crucial role of low-density lipoprotein receptor-related protein 1 (LRP1) in skeletal development.
A new study reveals how the CaMYB80 transcription factor enhances cold tolerance in pepper plants, a crucial step toward developing crops that can thrive in cooler environments.
Researchers from Beijing Normal University have analyzed how China's land system may change in 2100 under a 1.5°C global warming scenario and a reference scenario without updated emission reduction measures. Their findings reveal that the 1.5°C climate pledges will drive greater changes in future land systems. Under this scenario, areas of shrubland, wetland, and forest are projected to increase by 185%, 79%, and 33%, respectively. 35% of the existing cropland (as of 2020) are estimated to be converted to other types by 2100 (or earlier) under the 1.5°C scenario, with high-density cropland decreasing by nearly 50%. This shift could pose a substantial challenge to food security.
Machine learning is transforming the control of particle accelerators, enabling "autonomous driving" for these complex systems. Researchers from the Institute of Modern Physics and Xiamen University have developed innovative solutions to improve accelerator operation, reducing manual intervention and enhancing efficiency. By integrating reinforcement learning and virtual accelerators, they achieved seamless transfer to real-world applications, marking a significant breakthrough. This research paves the way for more efficient, intelligent control technologies in particle accelerators and sets a milestone in AI's application to advanced scientific tools.
With the rapid development of natural resource element change monitoring technology based on remote sensing imagery, improving the accuracy of change polygons and reducing false alarms have become key research topics. Professor Li Yansheng and his team at the School of Remote Sensing and Information Engineering, Wuhan University, proposed an intelligent purification method for natural resource element change polygons based on a remote sensing spatiotemporal knowledge graph. This method effectively reduces false alarm rates while ensuring a high recall rate, thus significantly improving the efficiency of natural resource monitoring. The related research results were published in the Journal of Geo-Information Science.
In a recent paper published in National Science Review, a jointed team of scholars from China and UK has made significant progress in understanding the genesis of volcanic rocks in subduction zones. By analyzing the magnesium and boron isotopic compositions of volcanic rocks and forearc serpentinites from the South Sandwich Island arc, a globally representative island arc, the team proposed a novel mechanism for island arc magma formation. Their findings suggest that island arc volcanic rocks can originate from the partial melting of serpentinite-dominated mélanges. This breakthrough significantly advances the understanding of the processes and mechanisms of material recycling in subduction zones.
This research addresses key unresolved issues in the rhetoric of narrative maps, including how to conceptualize, categorize, and understand the working mechanism of rhetoric within these maps. It clarifies the essence of rhetoric in narrative maps, defines its concept, and analyzes its characteristics. The article proposes a classification criterion based on differences in content and logical semantic representation. It further explores the mechanisms of rhetoric in narrative maps from four perspectives: rhetorical dimensions, hierarchy, integrated use, and applicability principles. The theoretical framework is illustrated through a case study of “Jiangnan Canal”, demonstrating its practical applicability in narrative map design. This research contributes to advancing narrative map theory and enriches contemporary cartography.
A new study has revealed the pivotal role of theanine, a unique amino acid, in the early growth and development of tea seedlings.