Background and limitations Impaired wound healing (WH) and chronic inflammation are
hallmarks of non-communicable diseases (NCDs). However, despite WH being a …

One of the most challenging puzzles in drug discovery is the identification and
characterization of candidate drug of well-balanced profile between efficacy and safety. So …

This article introduces the NetworkToolbox package for R. Network analysis offers an
intuitive perspective on complex phenomena via models depicted by nodes (variables) and …

Betweenness centrality (BC) is widely used to identify critical nodes in a network by
exploring the ability of all nodes to act as intermediaries for information exchange. However …

Problem, research strategy, and findings City governments and planners alike commonly
seek to increase pedestrian activity on city streets as part of broader sustainability …

Metabolomics and proteomics offer significant advantages in understanding biological
mechanisms at two hierarchical levels. However, conventional single omics analysis faces …

Many critical infrastructure systems have network structures and are under stress. Despite
their national importance, the complexity of large-scale transport networks means that we do …

Learning from past accidents in railway operations is valuable for ensuring the future safety
of railway operations. Railway operational accidents are of different types, such as collisions …

The determination of node centrality is a fundamental topic in social network studies. As an
addition to established metrics, which identify central nodes based on their brokerage …

Centrality metrics are one of the most meaningful features in a large number of real-world
network systems. In that sense, the Betweenness centrality is a widely used measurement …