Fingerprint-based localization relies on the construction of dense, high-quality fingerprint databases but faces two major challenges: the time-consuming and complex process of collecting ... is ...

The term "God complex" is used to describe a person who believes they have exceptional power or authority and are superior to others. It is not considered a mental illness on its own, per the ...

Integration of spatial transcriptomics data with data from genome-wide association studies enables spatially resolved mapping of cells associated with human diseases and other complex traits.

For CFOs to grow a business consistently, they must have a focused strategy. For marketers and their agencies to help CFOs ...

What do you wonder? By The Learning Network A new collection of graphs, maps and charts organized by topic and type from our “What’s Going On in This Graph?” feature. By The Learning ...

Giving students a peek at the math under the hood of AI can help them understand the potential power and pitfalls of the ...

Then, the data was combined with domain knowledge from the Drug Abuse Ontology (54) and Diagnostic and Statistical Manual ... to condense the knowledge graph into biologically significant things that ...

BRAPH 2.0 is a comprehensive software package for the analysis and visualization of brain connectivity data, offering flexible customization, rich visualization capabilities, and a platform for ...

The most up-to-date textbook on complex systems, co-authored by SFI External Professor Stephan Thurner. It presents many foundational topics such as networks, scaling laws, evolution, and information ...

The Statistical Yearbook is published by the BFI Research and Statistics Unit. It is published throughout the second half of each year, concluding with the full yearbook and the accompanying dataset ...

This involves the analysis of large masses of data by statistical methods, in the process of which, solutions to many complex problems have to be sought. Stimulus is thus given to purely ...

Supply chains are inherently graph-like, making them ideal for GNN methodologies, which can optimize and solve complex problems. The barriers include a lack of proper ... Our analysis shows that ...