Background Deterministic variables are variables that are fully explained by one or more parent variables. They are extremely common in the health and social sciences, typically arising in the ...

Accurate prediction of protein-protein interactions (PPIs) is crucial for understanding cellular functions and advancing the development of drugs. While existing in-silico methods leverage direct ...

The art of finding patterns or communities plays a central role in the analysis of structured data such as networks. Community detection in graphs has become a field on its own. Real-world networks, ...

MATLAB-SIMULINK files in the book: M. H. Trinh, H.-S. Ahn, "Matrix-weighted graphs: Theory and Applications," Lectures Notes on Control and Information Sciences, Springer - Cham, 2025 ...

What is Black Ops 6 Zombies Directed mode? With the sheer amount of easter eggs on each of the zombies maps, it can be tough to keep track of everything on offer. Fortunately, Zombies Directed Mode ...

Graph theory is an integral component of algorithm design that underlies sparse matrices, relational databases, and networks. Improving the performance of graph algorithms has direct implications to ...

Trophic coherence and non-normality are both ways of describing the overall directionality of directed graphs or networks. Trophic coherence can be regarded as a measure of how neatly a graph can be ...

Dijkstra’s algorithm is great as long as we have no negative weight edges in our graph. But there are many problems for which it is natural to represent weights with positive and negative values—gains ...

Estate planning today often encompasses a series of goals, ranging from tax planning to asset management and asset control strategies. Many ultra-high-net-worth families seek asset or divorce ...