Antibiotic resistance is a growing crisis that threatens many aspects of modern healthcare.Dogma is that resistance often develops due to acquisition of a resistance gene or mutation and that when this occurs, all the cells in the bacterial population are phenotypically Collars resistant.In contrast, heteroresistance (HR) is a form of antibiotic re

Deep Learning achieves state-of-the-art results in many domains, yet its black-box nature limits its application to real-world contexts.An intuitive way to improve the interpretability of Deep Learning models is by explaining their decisions with similar cases.However, case-based explanations cannot be used 4G in contexts where the data exposes per

Nowadays, problems such as greenhouse effect and air pollution become increasingly prominent.The power generation process should pay attention to the fuel cost and reduce the pollution to the environment.In this paper, an arithmetic optimization algorithm (AOA) based on Cauchy mutation trigonometric function search is proposed to solve the combined

It is highly necessary to study how to analyze the reliability of simulation Semi Flush Mount data under small sample circumstance when the number of times live operational test is strictly limited.Based on the analysis of existing test ideas and methods, combined with the characteristics of sequence statistics of uniform distribution, a new method