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Purpose: To investigate the mechanism of action of Klebsiella pneumoniae (Kpn) resistance to carbapenem. Methods: The susceptibility of six Klebsiella pneumoniae strains to antibiotics was determined using KB assay. Six isolated strains which were resistant to carbapenem were identified and collected using modified Hodge test. The phenotypes of metal enzyme were evaluated by ethylene diamine tetraacetic acid (EDTA) disk diffusion method. The genes for beta-lactamases, including KPC gene, were examined. Results: The six carbapenem-resistant strains of Klebsiella pneumoniae were resistant to imipenem, meropenem and aztreonam, but were sensitive to amikacin, fosfomycin, minocycline, and polymyxin. The six pathogens did not produce metal enzyme, but they produced carbapenemases. Moreover, the six strains partially carried blaTEM or blaSHV gene, but all had blaKPC-2 gene. Conclusion: These results suggest that the pathogens that contain blaKPC-2 gene may be involved in the mechanism of Klebsiella pneumoniae (Kpn) resistance to carbapenem.

With the advent of the 5G era, new-type classroom teaching has welcomed a new development opportunity. It is urgent to design a teaching support system which utilizes high-speed network technology and new-type display technology, the existing 5G-supported educational research mainly concentrates on researches based on 5G educational application scenarios and those exploring the implementation path for intelligent education, but the teaching support system based on 5G communication technology has been less investigated. Based on an analysis of application of front-projected holographic display technology, panoramic video technology, haptic technology, VR technology and AR technology, these technologies were integrated to construct a support system applied to classroom teaching, its operating mode was introduced, and the expectation on this research was raised in the end.

Under the guidance of educational informationize 2.0 and Chinese education modernization 2035 baton, teaching information resources will show exponential growth. It is difficult to manually process and recommend to learners including text, pictures, audio, video, and other rich media learning resources. This study makes an in-depth analysis of the existing recommendation system of learning resources, which shows that the existing recommendation system is unsatisfactory and unable to accurately recommend learning resources for learners. Therefore, it is urgent to establish a recommendation system for learning rich media resources based on recognition technology. In this study, we will analyze the key technologies and construct the learning resource recommendation system based on identification technology by combining the feature analysis of these technologies, to introduce the operation mode of this system in detail, finally summarizing the research of this paper and discussing the next step of the research.

This paper first introduces china’s “Internet plus” policy guidance, the degree of informationization of various industries is high, but the fire information device construction foundation is relatively weak than other industries, so it is necessary to strengthen research and system construction in this regard. Then, the components of fire early warning system based on precision positioning technology, such as smoke detector, environmental detector and acoustic and optical alarm, are introduced, the fire early warning system based on precision positioning technology is designed, and the operation mode of fire early warning system based on precision positioning technology is introduced. Finally, summarize the full text and explore the next research direction.

According to the national policy guidance and practical application, this paper proposes the necessity of constructing a test business management system based on identity matching. It is found that the existing examination business system can not meet the needs of school development. Then it introduces the non-inductive check-in technology, identity matching technology and encryption protection technology to be used in the examination business management system, and uses these key technologies to build the examination business management system based on identity matching, and explains the operation mode of the system. Finally, it summarizes the whole paper and discusses the research direction of the following research group.

The top-level design of China points out a direction for reform in education and teaching and it requires full use of emerging technology in promoting innovation of education teaching model. As a new generation of communication technology, 5G enters into our life gradually and reform of teaching mode is facing with a new development opportunity. In this study, problems in classroom teaching under the support of existing communication technology are analyzed and new scenes of classroom teaching supported by 5G technology are explored. A three-order 11-step classroom teaching model based on 5G is constructed by integrating AR immersion technology, remote front-projected holographic display, panorama immersion video technology, somatosensory teaching supporting technology and 8K video camera shooting. Specific operation process of the whole model is introduced. Finally, some conclusions are drawn and further research direction of the research team is pointed out.

This paper analyses the background of the construction of first-rate courses. It can be seen that the blended first-rate courses are the most important part of the curriculum construction, so it is necessary to conduct in-depth research on them. But the existing research results can't meet the need of the construction of hybrid first-class curriculum in 5g era, in this case, we contrast state of first-rate courses of macroscopic standard and the construction of excellent courses, and then put forward the realization of high order, innovative and challenges of hybrid first-rate course construction mode and three aspects of the school curriculum constructions combining with the actual situation. In order to pass the "6 + 3" hybrid first-rate research course construction mode, hybrid first-rate course construction mode can provide reference for counterparts.