Then, GAKT-BF designs a question relationship extraction module and constructs a graph of correlations between questions and questions, uses graph attention neural network (GAT) to extract question ...

Then, dexterously integrated with the feature matrix of the information system (the relationship between objects and attributes), a highly expressive heterogeneous graph is constructed. Second, by ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

Graphs, visual representations outlining the relationships between different entities, concepts or variables, can be very effective in summarizing complex patterns and information. Past psychology ...

The rapid identification of respiratory virus outbreaks is needed to enable rational and effective public health interventions. We developed new quantitative approaches for simultaneous ...

Understanding the differences between business intelligence, artificial intelligence, and data analytics can be a challenge to many people. For many business processes, there seems to be so much ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

2.3. Graphical Representation of Spin Functions, Operators, and Their Matrix Elements In this section we introduce graphical methods for manipulating angular momentum expressions and apply them to eqs ...