With the continuous development and rapid progress of Internet technology, the technology of “Internet +” has been widely used in almost all walks of life, including education. The new learning mode of “Internet + education” is changing learners’ learning habits, and this learning mode has become a hot issue that scholars pay attention to. Although there is much research on blended learning, the research on the influencing factors of blended learning in Chinese private colleges and universities is limited. In this paper, the questionnaire was designed based on the theory of planning behavior and the technical acceptance model theory, and distribute these questionnaires to undergraduates at Harbin Cambridge University, a private university in China, and 162 valid questionnaires were collected. Analysis was performed by multiple linear regression and structural equation model method. It is found that college students’ blended learning effect is positively correlated with perceived usefulness, interactive behavior, and learning acceptance, while perceived ease of use and learning atmosphere have no significant influence on the learning effect. This study further found that perceived usefulness and interactive behavior can influence the effect of blended learning through the mediating effect of learning acceptance. The results of this study provide a new idea for the study of blended learning; that is, students will know how to improve the effectiveness of blended learning, and also provide a valuable reference for teachers to solve the problem of how to improve the quality and effectiveness of blended classroom teaching.

The six core competencies of mathematics in vocational schools are becoming increasingly important in mathematics learning. The reverse teaching design of vocational school mathematics, which focuses on core competencies, precisely grasps the internal logic of knowledge from a holistic perspective, and designs it on a unit by unit basis. The design process is to infer the starting point from the endpoint. Therefore, how to use reverse thinking in teaching design research in vocational school mathematics teaching under the background of core competencies will be the main content of this article.

This article summarizes the mine safety situation of the Internet of Things, proposes a mine safety system scheme that combines a sense of unity with a sense of isolation, and a sense of mobility with a sense of fixation. It analyzes in detail the feasibility and scientificity of the mine safety system scheme, laying a good foundation for establishing a mine safety system.

This research endeavors to assess the legal requirements for the operation of mediation and conciliation centers in the UAE based on Federal Law No. 17 of 2016 and its amendment in 2021 No. 5. It is structured into three main sections: the first establishes and defines these centers, the second defines conciliation procedures and the third considers the preceding. The aim is to identify the legal procedures associated with mediation and conciliation centers within the UAE judicial systems and their function in providing solutions for civil and business litigations with the most efficiency and minor financial investments. It also calls for using other forms of conflict adjudication before adopting the legal approach. The conclusions and recommendations indicate the necessity of further improving the Mediation and Conciliation Centers Law due to the necessity of legislative shifts, which would contribute to the UAE’s leading position in legislation related to centers for mediation and conciliation.

The Mass Rapid Transit (MRT) Purple Line project is part of the Thai government’s energy- and transportation-related greenhouse gas reduction plan. The number of passengers estimated during the feasibility study period was used to calculate the greenhouse gas reduction effect of project implementation. Most of the estimated numbers exceed the actual number of passengers, resulting in errors in estimating greenhouse gas emissions. This study employed a direct demand ridership model (DDRM) to accurately predict MRT Purple Line ridership. The variables affecting the number of passengers were the population in the vicinity of stations, offices, and shopping malls, the number of bus lines that serve the area, and the length of the road. The DDRM accurately predicted the number of passengers within 10% of the observed change and, therefore, the project can help reduce greenhouse gas emissions by 1289 tCO₂ in 2023 and 2059 tCO₂ in 2030.