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emissions due to the large temporal and spatial variations in CH4 emission and its underlying processes. The lack of continuous observations of CH4 turnover hinders our understanding of CH4 emission
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field theory, such as the scaling limit of the critical Ising model or the Liouville model, or near critical models of statistical field theory, such as the sine-Gordon model, the scaling limit
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group for integrating single-cell multi-modal data, to bulk multi-omics cancer datasets. This framework incorporates biological data dependencies within a hierarchical Variational Autoencoder, enabling
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Governing at the Limit: Managed retreat in climate change stressed cities (GOAL). The project focuses on limits of adaptation to climate change in cities. There is a gap regarding the role of governance in