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overcoming significant technical hurdles: a) Adaptive Fault Monitoring: Traditional systems fail to identify root causes in multi-modal data streams; this project utilizes federated learning and graph neural
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research, including: pre-clinical mouse models of cancer multi-parameter flow cytometry and immune phenotyping histology, immunofluorescence and spatial tissue profiling cell culture and molecular analysis
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for resilient water resource management. The research will explore three core dimensions: transboundary water dynamics, institutional and policy effectiveness, and the impacts of climate variability on urban
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