With the development of the 5G mobile Internet, cloud computing, Internet of Things, and other cutting-edge technologies, the era of big data has quietly arrived. The purpose of this paper is to explore the feasibility of the application of new technologies for music teaching in the era of big data in the context of the rapid development of science and technology in the information society, to enlighten and lead music teachers to apply the spontaneous and conscious awareness of new media and fully apply the new achievements of science and technology in the information society for future music classroom teaching, and to analyze the mode, method, trend, characteristics, advantages, and disadvantages of music teaching in the new media environment. The aim is to analyze the advantages and shortcomings of music teaching in colleges and universities and to find solutions and future development strategies for them so that in the future, the 5G Internet can better serve music lovers and better contribute to the cause of music education in colleges and universities. New media, as a product of constantly updated information technology, provides powerful data support for the development of various fields, and the education industry also needs new media to boost the rapid development of education information technology, which of course includes college music teaching. The effective integration of new media technology into the college music classroom can improve the classroom efficiency of music teaching with rich and diverse teaching resources and flexible teaching forms.

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Soil microorganisms promote the recovery of contaminated soil by influencing the cyclic transformation of various substances. In this study, we investigated the impact of mercury pollution on the structure, composition, and main populations of soil microbial communities using a high-throughput sequencing method and observed that mercury pollution significantly influenced the diversity, structure, and distribution pattern of microbial communities. Furthermore, during mercury pollution, the Shannon and Chao indices decreased for the bacterial communities and increased for the fungal communities. Mercury pollution mainly reduced the relative abundances of Proteobacteria (16.2–30.6%), Actinomycetes (24.7–40.8%), and other dominant bacterial phyla. The relative abundance of Ascomycota decreased by 17.4% and 16.7% in alkaline and neutral soils, respectively, whereas the relative abundance of unclassified_k_Fungi increased by 26.1% and 28.6%, respectively. In acidic soil, Ascomycota increased by 106.3% and unclassified_k_Fungi decreased by 71.2%. The results of redundancy and correlation analyses suggested that soil microbial diversity was significantly correlated with soil properties such as pH, cation exchange capacity, soil organic carbon, and total nitrogen (p < 0.05) under different treatments. Our findings highlight the impact of Hg pollution on soil microbial communities, thereby providing a theoretical foundation for the bioremediation of soil Hg pollution.

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