A stochastic correlation approach using copula functions offers a flexible alternative. By allowing correlations to vary ...

Joint injury induces rapid and sustained diversification of resident and infiltrating synovial macrophage phenotypes, underpinning osteoarthritis-associated synovitis.

This is where graph databases and NoSQL come into play. Unlike relational databases, which work particularly well with structured data, graph databases are designed to model and s ...

Oxytocin receptor (Oxtr) signaling influences complex social behaviors in diverse species, including social monogamy in prairie voles. How Oxtr regulates specific components of social attachment ...

Under this motivation, this paper studies the construction of efficient linear graph neural networks only relying on simple linear structures without using basic neural networks such as convolution ...

We propose a supervised data-driven method to predict S-wave velocity using a graph convolutional network with a bidirectional gated recurrent unit (GCN-BiGRU). This method adopts the total ...

If -reg- fails, a non-linear estimator is unlikely to succeed. Insignificant variables are flat spots in the liklihood function. What happens if you remove most of the independent variables and keep ...

In the same way, we can define derivatives of matrix-valued operators as linear operators ... Johnson's notes on delta functions and distributions, aimed at an elementary-calculus level. Further ...

It supports the development of high level applications for spatial analysis, such as detection of spatial clusters, hot-spots, and outliers construction of graphs ... a variety of linear, ...