Iran has one of the oldest civilizations in the world, and many elements of today’s urban planning and design have their origins in the country. However, mass country-city migration from the 1960s onwards brought enormous challenges for the country’s main cities in the provision of adequate housing and associated services, resulting in a range of sub-standard housing solutions, particularly in Tehran, the capital city. At the same time, and notably in the past decade, Iran’s main cities have had significant involvement in the smart city movement. The Smart Tehran Program is currently underway, attempting to transition the capital towards a smart city by 2025. This study adopts a qualitative, inductive approach based on secondary sources and interview evidence to explore the current housing problems in Tehran and their relationship with the Smart Tehran Program. It explores how housing has evolved in Tehran and identifies key aspects of the current provision, and then assesses the main components of the Smart Tehran Program and their potential contribution to remedying the housing problems in the city. The article concludes that although housing related issues are at least being raised via the new smart city technology infrastructure, any meaningful change in housing provision is hampered by the over centralized and bureaucratic political system, an out of date planning process, lack of integration of planning and housing initiatives, and the limited scope for real citizen participation.

The article discusses the actual problems of practical training in the tourism and hospitality industries in Russia and identifies the main problems of training specialists at Russian specialized universities. The main focus is on building partnerships between universities and employer organizations in order to train highly qualified specialists. Purpose: The research is aimed at creating an effective model of practical training based on the interaction of the university with employer organizations within the framework of the training of specialists in the tourism and hospitality industries. Design/Methodology/Approach: The work is based on scientific publications devoted to evaluating the effectiveness of the existing system of personnel training for the tourism and hospitality industries, studying its features, building models of vocational education, and using practice-oriented programs in the training of specialists. To study the problems of practical training of personnel for tourism and hospitality, systematic and structural approaches were used as a methodological basis, as well as methods of analysis and synthesis, the study of models of cooperation between universities and employers, and methods of monitoring and evaluating the quality of training specialists. To obtain empirical data, an analysis of the needs of the labor market for specialists in the hospitality industry was carried out, as was the study of models of cooperation between universities and employers. Results: In the course of the work, the author has formed a model of practical training for specialists in the tourism and hospitality industries, including the purpose and objectives, process requirements, organization conditions, and requirements for the results of the process. The innovative nature of the proposals lies in the development of new models of practical training based on gamification technology. The direction of further research may include the development of a methodology for the organization of the university’s interaction with employer organizations in the framework of practical training. Conclusion: The results of the study can be used by professional educational organizations to organize the process of practical training of students, which will effectively solve the problem of training personnel for tourism and hospitality. The social consequences of organizing the process of practical training for students will include increasing the competitiveness of graduates in the labor market, improving the quality of tourist and hotel services, introducing innovations into the tourism and hospitality industries, and developing startups.

The challenge of rural electrification has become more challenging today than ever before. Grid-connected and off-grid microgrid systems are playing a very important role in this problem. Examining each component’s ideal size, facility system reactions, and other microgrid analyses, this paper proposes the design and implementation of an off-grid hybrid microgrid in Chittagong and Faridpur with various load dispatch strategies. The hybrid microgrids with a load of 23.31 kW and the following five dispatch algorithms have been optimized: (i) load following, (ii) HOMER predictive, (iii) combined dispatch, (iv) generator order, and (v) cycle charging dispatch approach. The proposed microgrids have been optimized to reduce the net present cost, CO₂ emissions, and levelized cost of energy. All five dispatch strategies for the two microgrids have been analyzed in HOMER Pro. Power system reactions and feasibility analyses of microgrids have been performed using ETAP simulation software. For both the considered locations, the results propound that load-following is the outperforming approach, which has the lowest energy cost of $0.1728/kWh, operational cost of $2944.13, present cost of $127,528.10, and CO₂ emission of 2746 kg/year for the Chittagong microgrid and the lowest energy cost of $0.2030/kWh, operating cost of $3530.34, present cost of 149,287.30, and CO₂ emission of 3256 kg/year for the Faridpur microgrid with a steady reaction of the power system.

While the rapid development of artificial intelligence has affected people's daily lives, it has also brought huge challenges to high school mathematics teaching, such as restructuring the classroom teaching structure, transforming the role of teachers, and selecting classroom teaching methods. Based on this, the article explores the application strategies of AI technology in improving knowledge introduction, improving mathematics classroom efficiency and stimulating students' learning interest, with a view to optimizing classroom teaching links, improving students' core discipline quality, and promoting the development of high school mathematics teaching informatization.

At this stage, network technology is developing rapidly. The resources in the network are massive, and a large number of resources are distributed in a decentralized and heterogeneous manner. With the continuous expansion of the application scope of distributed technology, it can provide effective scheme guidance for resource application. Combined with the current situation of network teaching platform and relevant functional requirements, it is very necessary to apply distributed technology. Taking DFS technology as an example, this paper studies the shared resource management scheme of this technology in network storage, and studies the specific application effect and path of DFS technology in distributed network teaching platform.