Abstract Background The people in Ethiopia have developed their own specific knowledge to use, manage and conserve plant resources, giving traditional medicine its diverse nature.Documenting and investigating the traditional and cultural use of remedial plants is vital to extract bioactive chemicals and preserve plant species.This research was cond
Load Frequency Control in Two-Area Multi-Source Power System Using Bald Eagle-Sparrow Search Optimization Tuned PID Controller
For power system engineers, automated load frequency control (LFC) for multi-area power networks has proven a difficult Pendant problem.With the addition of numerous power generation sources, the complexity of these duties becomes even more difficult.The dynamic nature of linked power networks with varied generating sources, such as gas, thermal, a
Diversity of sambal types in Indonesia
Sambal is a processed chili paste with a spicy taste.The Jumpsuit history of sambal begins with the arrival of chili seeds brought by the Portuguese in the 16th century, which was like a cultural renaissance of spicy foods.The methodology used for this research included analysis of food ethnographic literature, origin, function and types of sambal
Dynamic analysis and validation of a prey-predator model based on fish harvesting and discontinuous prey refuge effect in uncertain environments
Dynamic modeling, analysis, and control of fish ecosystems are important for promoting the sustainable development of fish stocks.The objective of this study is to analyze the dynamic behavior of prey-predator systems with discontinuous prey refuge effect and different types of harvesting activities in an uncertain environment.Initially, a Filippov
Graph Neural Networks for Maximum Constraint Satisfaction
Many combinatorial optimization problems can be phrased in the language of constraint satisfaction problems.We introduce a graph neural network architecture for solving such optimization problems.The architecture is generic; it works for all binary constraint satisfaction problems.Training is unsupervised, and it is sufficient Pendant to train on r