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Article analysis:

The article is generally reliable and trustworthy as it provides a detailed description of the research conducted by Qinhui Liu et al., including an overview of their proposed dual-resource scheduling optimization mathematical model, an improved genetic algorithm to solve the problem, and verification of their results in two cases. The authors provide evidence to support their claims, such as citing relevant literature and providing data from experiments conducted to test their proposed methods.

However, there are some potential biases that should be noted. For example, the authors do not explore any counterarguments or alternative solutions to their proposed methods. Additionally, they do not discuss any possible risks associated with using their proposed methods or any potential drawbacks that could arise from using them. Furthermore, they do not present both sides equally when discussing their findings; instead they focus mainly on how successful their proposed methods were in solving the problem at hand without exploring other potential solutions or approaches that could have been taken. Finally, there is some promotional content in the article as it focuses mainly on how successful their proposed methods were without exploring any potential drawbacks or risks associated with them.