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.

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.

Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disease characterized by the progressive degeneration of motor neurons, leading to muscle weakness and eventually death. While significant strides have been made in understanding ALS genetics, particularly in European populations, there is a gap in knowledge regarding ALS in African populations, including Egypt. This study offers the first insights into the genotype and phenotype of familial ALS (fALS) in Egypt, highlighting early onset, high consanguinity rates, and genetic variations that may contribute to the disease's progression. The findings reveal distinct characteristics compared to European and other African populations, emphasizing the importance of studying ALS genetics across diverse populations to uncover new pathways and mechanisms involved in motor neuron degeneration.