There are numerous risks associated with high-rise buildings, which not only affect stakeholders during the design and construction phase but also impact the occupants and the surrounding environment during the post-occupancy phase. While previous studies examined the risks of high-rise building construction, less attention has been paid to the diverse impacts of high-rise buildings on their occupants. To fill this gap, this study applied a mixed-method approach (both quantitative and qualitative) to identify and prioritize their most significant social impacts. First, the possible social impacts of these buildings were identified via a literature review. The interrelationships among the identified factors were then determined by drawing on the opinions of relevant experts. Next, through the quantitative phase, the high-rise residential buildings of District 22 of Tehran were considered as a case study, and according to the opinions of 230 chosen residents, the level of influence of factors on one another was determined. The DEMATEL approach was employed subsequently to analyze the data and identify the most important and influential factors. Finally, through the qualitative phase, in-depth interviews were conducted with residents to explain and validate the results. The most significant and influential impacts identified by this study were anti-social behavior, lack of social cohesion, and lack of social contact with neighbors. This study assists designers and policymakers to adopt strategies that could mitigate the identified impacts and improve occupants’ social wellbeing more efficiently.

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This article examines the financing of GDP growth within the framework of catch-up, evolutionary and dynamic models of economic development. Methods/statistical analysis: using the principles of the Solow model and the Cobb-Douglas function, an analysis of the nature of the models has been carried out, considering the processes of capital accumulation, the rate of growth of the workforce, and various aggregate factor productivities. With the help of historical logic and statistical evaluation, examples of countries relating to each of the models examined are reviewed. Based on the analysis, the main ways of financing economic growth are noted: both the state ones, due to budgetary and monetary policy measures, and private ones. It has been proven that with the transition from catch-up to an evolutionary or dynamic model, the role of the state as a centralizing force is diminishing. At the same time, the specificity of a dynamic model is due to the country's objective ability to be among the technological leaders, which is predetermined by the high values of current GDP, per capita GDP, and population size. Countries with an evolutionary model of development are constrained in their ability to maintain a comparable pace of development only within separate "growth points". The main result of the work is the assessment of Russia's potential from the viewpoint of one of the models considered, based on a comparative analysis of several capital indicators, as well as a logical analysis of data on the level of GDP and population with other countries. This makes it possible to make recommendations for financing the country's GDP growth in the medium to long term. Scope/Improvements: The findings can be used in the development of Russia's financial and economic strategy up to 2030.

The utilization of photovoltaic (PV) cells has greatly expanded due to the simplicity of technology and cheapness compared to other solar technologies. However, due to the change in the position of the sun, it has reduced the production capacity and electrical efficiency of this technology as the reduction of production capacity to supply electricity has increased investment costs. In this research, modeling of silicon crystal PV cell with the aim of influencing the types of solar trackers on the amount of power produced by PV cell and economic parameters has been done, which is intended for the following four modes: without solar tracker, horizontal tracker, vertical tracker and two-axes tracker. The highest output power is related to the two-axes tracker with a value of 9586 kWh/yr, which for this technology has a maximum output power of 4.35 kW. Also, the cost of energy produced by this technology is $ 0.875/kWh.