PLANETARY BOUNDARIES: EXPLORING THE SAFE OPERATING SPACE FOR HUMANITY


scVAEDer: integrating deep diffusion models and variational autoencoders for single-cell transcriptomics analysis

Abstract Discovering a lower-dimensional embedding of single-cell data can improve downstream analysis.The embedding should encapsulate both the high-level features and low-level variations.While existing generative models attempt to learn such low-dimensional representations, they have limitations.Here, we introduce scVAEDer, a scalable deep-learn

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Century of research on property cycles: a literature review

The existence of cycles in building and property, has grown to have significant importance in the UK and internationally; whereas property markets have been characterised by boom and bust cycles with a negative Military UAV impact on the national economies.As a result, property cycles became a popular research topic amongst property professionals a

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