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To establish a versatile RSFM adaptable to diverse tasks, RingMoE requires a comprehensive and diverse pre-training dataset that accounts for significant variations in imaging modalities, spatial resolutions, temporal dynamics, geographic regions, and scene complexities. To meet this challenge, we curate RingMOSS, a large-scale multi-modal RS dataset comprising 400 million images from nine satellite platforms, covering a broad spectrum of Earth observation scenarios. 

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This study analyzes the scientific production related to the theory of control in negative imaginary systems (NIS) through a bibliometric analysis in the Web of Science and Scopus databases. The main purpose is to assess research output, identify key trends, and map the research landscape in NIS. The significance of this analysis is rooted in the ability of NIS theory to improve the robust control of resonant and dynamic systems, making it applicable across various engineering disciplines.

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