New research in Geology uses images from the Curiosity rover to decode the planet’s atmosphere at a time when the surface was potentially habitable

Space missions are complex, multidisciplinary tasks that involve high risk and high cost. Systems engineering (SE) technology is an emerging discipline used to manage project complexity and ensure mission success . As technology advances and systems become more complex and volatile, SE needs to accommodate the constant reassessment, upgrading, and development of systems . Traditional SE relies on a large number of decentralized documents that cannot keep up with the changes in the system. Therefore, SE is transforming toward digitalization and has led to model-based systems engineering (MBSE), which provides a way to address SE challenges and is emerging as a paradigm and principle of SE. According to the International Council on Systems Engineering, MBSE is “the formalized application of modeling to support system requirements, design, analysis, verification and validation activities beginning in the conceptual design phase and continuing throughout development and later life cycle phase”.Space missions are complex, multidisciplinary tasks that involve high risk and high cost. Systems engineering (SE) technology is an emerging discipline used to manage project complexity and ensure mission success . As technology advances and systems become more complex and volatile, SE needs to accommodate the constant reassessment, upgrading, and development of systems . Traditional SE relies on a large number of decentralized documents that cannot keep up with the changes in the system. Therefore, SE is transforming toward digitalization and has led to model-based systems engineering (MBSE), which provides a way to address SE challenges and is emerging as a paradigm and principle of SE. According to the International Council on Systems Engineering, MBSE is “the formalized application of modeling to support system requirements, design, analysis, verification and validation activities beginning in the conceptual design phase and continuing throughout development and later life cycle phase”.

Local photothermal effect of AuNRs gives rise to high local temperatures. Two methods based on electron spin resonance (ESR) technique were developed to characterize the local temperature (T_local) around the excited rod. The obtained T_local is 20-30℃ higher than the global temperature (T_global) of the illuminated suspension measured using thermocouple. The local photothermal effects of gold nanorods (AuNRs) can promote the thermal decomposition of H₂O₂ to generate hydroxyl radicals. The AuNRs + H₂O₂ system can be used as a light-triggered hydroxyl radical source to regulate the generation of hydroxyl radical by time and space.

Observing the Taurus Molecular Cloud, a research team led by Kyushu University has found that during the early growth period of a baby star, the protostellar disk blows magnetic flux 1,000 au in size and creates a giant, relatively warm ring. Describing these phenomena as a baby star’s “sneezes,” these expulsions of energy and gas help the star to properly develop.

A new study published in Big Earth Data proposes an AI cube framework that integrates GeoAI models into geospatial data cube infrastructures to enhance large-scale Earth Observation data analytics. By introducing a model warehouse, intelligent model selection, and parallel inference pipelines on the Open Geospatial Engine platform, the approach significantly improves analytical capability and reduces inference time by over 80%. The framework advances the transition from traditional data cube processing toward AI-ready spatial data infrastructures.