Abstract In network science, identifying optimal partitions of a signed network into internally cohesive and mutually divisive clusters based on generalized balance theory is computationally challenging.We reformulate and generalize two binary linear programming models that tackle this challenge, demonstrating their practicality by applying them to
Objective Estonian innovative electronic solutions have long been leading the way in the healthcare sector.This article aims to give an overview of all e-solutions and their usability in community pharmacies in Estonia and how they compare and operate with the wider e-health system.Methods A comprehensive literature review was conducted on publicly
The management of chronic wounds in diabetes remains challenging due to the complexity of impaired wound healing, delayed healing, susceptibility to infection, and elevated risk of reopening, highlighting the need for effective chronic wound management with innovative approaches such as multifunctional hydrogels.Here, we have produced HA-DA@rhCol h
While the single ant colony algorithm and the fish swarm algorithm have many advantages, they also have various shortcomings.After analyzing the advantages and disadvantages of the ant colony algorithm and the HERBATINT 7D fish swarm algorithm, this paper uses the complementary principle of the two algorithms to effectively fuse the two population