AR (Augment Reality) is an emerging technology that combines computer technology and simulation technology. It uses a computer to generate a simulation environment to immerse users in the environment. AR can simulate the real environment or things and present it to users by virtue of its multiperceptual, interactive, immersive, and other characteristics, to achieve an immersive effect. For sports dance, the same can be used to enhance the effect of teaching and learning through the use of AR technology. Aiming at the problems of delay and terminal equipment energy consumption caused by high-speed data transmission and calculation of virtual technology, this paper proposes a sports dance movement transmission scheme that uses equal power distribution on the uplink. Firstly, based on the collaborative attributes of the AR sports dance business, a system model for AR characteristics is established; secondly, the system frame structure is analyzed in detail, and the constraint conditions are established to minimize the total energy consumption of the system; finally, the mathematical model of Mobile Edge Computing (MEC) based on convex optimization is established under the condition that the delay and power consumption meet the constraints, so as to obtain the optimal communication and computing resource allocation scheme of sports dance in AR. The experimental results reveal that the proposed sports dance movement assessment method based on AR and MEC is efficient.

With the fast-growing IoT, regular connectivity through a range of heterogeneous intelligent devices across the Social Online Networks (SON) is feasible and effective to analyze sociological principles. Therefore, Increased user contributions, including web posts, videos and reviews slowly impact the lives of people in the recent past, which triggers volatile knowledge dissemination and undermine protection through gossip dissemination, disinformation, and offensive online debate. Based on the early diffusion status, the goal of this research is to forecast the popularity of online content reliably in the future. Though conventional prediction models are focused primarily on the discovery or integration of a network functionality into a changing time mechanism has been considered as unresolved issues and it has been resolved using Predicting The Security Threats of Internet Rumors (PSTIR) and Spread of False Information Based On Sociological (SFIBS) model with sociology concept. In this paper, the proportion of trustworthy Facebook fans who post regularly in early and future popularity has been analyzed linearly using PSTIR and SFIBS methods. Facebook statistics remind us that mainstream fatigue is an important prediction principle and The mainstream fatigue principle, Besides, it shows the effectiveness of the PSTIR and SFIBS based on experimental study

As a solution to gender discrimination that remains a serious problem today, gender equality education is receiving increasing attention around the globe. How to teach gender equality more effectively, in this context, becomes a pressing issue. The study takes eight Chinese-language LGBT+ films released in the past five years, including Tracey (2018), Dear Ex (2018), The Two Lives of Li Ermao (2019), All in My Family (2019), Twilight’s Kiss (2019), Your Name Engraved Herein (2020), Dear Tenant (2020), Secrets of 1979 (2021), as the analysis texts, aiming to find the educational implications of the films for gender equality and thus discuss the feasibility of applying them to classroom teaching. The study finds that Chinese-language LGBT+ films generally succeed in reflecting the difficulties faced by LGBT+ groups in corresponding regions. Although they are still not free from gender stereotypes, the negative impact of such can be dissipated through methods such as class discussions. Therefore, the study argues that Chinese-language LGBT+ films are generally meaningful and educational from the perspective of gender equality and can be used as teaching tools as long as they are carefully and critically examined. In this way, they can help eliminate gender discrimination and build respect for diverse sexualities.

I would like to thank my family first. They always kindness and meet my requirements. No matter where am I, they are the source of my strength.