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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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conformally invariant models of statistical 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
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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