The current with the rapid development of Internet and new media technology, the information openness and diversity makes ideological education is facing big challenge, in accordance with the "five a three-ring four law" teaching mode,the fundamental task of implementing ideological and political education, fostering values and cultivating talents is comprehensively carried out. We are advancing the resonance of the “three classrooms” and promoting the synchronous implementation of the “four transformations”, aiming to enhance the “five capacities” of students, according to the current construction of" big education courses "concept, change education thought and idea.

With the rapid development of the Internet, it has penetrated into various fields, including music performance teaching. This paper aims to explore the application strategies of the "Internet Plus" teaching mode in the music performance major. Firstly, the problems of traditional music performance teaching and the advantages of Internet technology are analyzed. Then, the basic principles and application strategies of the "Internet Plus" teaching mode are proposed, including the construction of online teaching resources, interaction between teachers and students, and innovation of teaching evaluation. Finally, through case analysis, the application effect of the "Internet Plus" teaching mode in the music performance major is verified. The research results of this paper have certain reference value for the teaching reform and innovation of the music performance major.

Food safety in supply chains remains a critical concern due to the complexity of global distribution networks. This study develops a conceptual framework to evaluate how food safety risks influence supply chain performance through predictive analytics. The framework identifies and minimizes food safety risks before they cause serious problems. The study examines the impact of food safety practices, supply chain transparency, and technological integration on adopting predictive analytics. To illustrate the complex dynamics of food safety and supply chain performance, the study presents supply chain transparency, technological integration, and food safety practices and procedures as independent variables and predictive analytics as a mediator. The results show that supply chain managers' capacity to anticipate and control risks related to food safety can be improved by predictive analytics, leading to safer food production and distribution methods. The research recommends that businesses create scalable cloud-based predictive model solutions, combine data sources, and employ cutting-edge AI and machine learning tools. Companies should also note that strong, data-driven approaches to food safety require cooperative data sharing, regulatory compliance, training initiatives and ongoing improvement.