Machine learning is often used to predict future values from data. But what if, instead of just predictions, you could ...

A new study combines Random Forest prediction, linear programming optimization and blockchain transaction recording to ...

Hello!In the practice of geotechnical investigation, many engineers deal with the "determination of representative N-values ...

A new framework combining a 120,000-entity knowledge graph with contrastive learning outperforms traditional and graph-based ...

Near-infrared spectroscopy combined with principal components analysis and a back propagation neural network identified ...

FreeFlow is a lightweight, scriptable, and conversational flow-cytometry viewer. It opens raw .fcs files, lets you draw polygon / rectangle / ellipse / quadrant / threshold gates by mouse, edit them ...

This project addresses the challenge of generating realistic synthetic runoff data for multi-station hydrological systems. The input is a historical runoff matrix of shape (238 stations, 365 days), ...

This guide highlights strategies and solutions for building an effective flow cytometry panel to ensure reliable, ...

This important study combines cortex-wide activity imaging and optogenetics to characterize large-scale changes in functional connectivity following administration of the psychedelic DOI, as well as ...

Help students understand how scatter plots can be used to visualize and interpret relationships between two variables. Students learn to plot bivariate data, identify positive, negative, and no ...

Mammalian cells have ubiquitin E3 ligases that detect defective proteins and promote their removal by proteolysis. Chandrasekhar et al. showed that a strategy to activate such enzymes may provide a ...