Finding new materials with useful properties is a primary goal for materials scientists, and it's central to improving ...

Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data transformations.D ...

This study offers important insights into the development of infants' responses to music based on the exploration of EEG neural auditory responses and video-based movement analysis. The convincing ...

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Characterization of intracellular synapse heterogeneity aides to understand the intricate computational logic of neuronal circuits. Despite recent advances in connectomics, the spatial patterns of ...

Conventional vehicle suspension systems, often relying on integer-order models with fixed damping coefficients, struggle to deliver optimal performance across diverse an ...