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The subject of the study is the differences in managerial and cultural values that are important for mutual understanding and interaction between Russia and China, countries with significant influence on the world economy and international relations. The study is particularly relevant in the context of business negotiations and management, where respect for values and beliefs inherent in other cultures is critical to successful cooperation. The purpose of this analysis is to examine the methods of G. Hofstede, R. Lewis, P. Ghemawat and others in the field of cultural differences and to compare their findings and conclusions with the results of a survey of Russian managers to verify the cultural characteristics contained in the literature and to prove their viability in practice. The results of the work confirmed the conclusions made by the above-mentioned academicians. The authors of the study defined the Russian culture as multi-active, highlighting the similarities and differences between the cultures of Russia and China. In both countries, the younger generation prioritizes personal career goals and financial success, which significantly changes the work process in terms of shifting values and orientations. The findings could provide valuable information for businesses and policymakers in these countries. The need to identify the cultural characteristics of Chinese managers and to better understand the cultural differences between Russia and China necessitates further research.

A spatiotemporal ecosystem health (EH) assessment study is necessary for sustainable development and proper management of natural resources. At present higher rate of human-socio-economic activities, industrialization, and misuse of land are major factors for ecosystem degradation. Therefore this research work used remote sensing (RS) and geographical information system (GIS) technology, under pressure-state-response (PSR) framework with analytic hierarchy process (AHP) weight method based on 29 indicators were analyzed for spatiotemporal EH assessment in Tatarstan and Samara states in Russia from 2010 to 2020. Results indicate continuous degradation of EH in Tatarstan state while in Samara state first decreased and later on an improved ecosystem health condition. This is one of the most innovative analyses work for real-time accurate ecosystem health assessment, mapping, and monitoring as well as protect fragile eco-environment with sustainable development, proper policy-making, and management at any scale and region.

Crop growth is one of the most important parameters of a crop and its knowledge before harvest is essential to help farmers, scientists, governments and agribusiness. This paper provides a novel demonstration of the use of freely available Sentinel-2 data to estimate rice crop growth in a single year. Sentinel 2 data provides frequent and consistent information to facilitate coastal monitoring from field scales. The aims of this study were to modify the rice growth vegetation index to improve rice growth phenology in the coastal areas. The rice growth vegetation index 2 is the best vegetation index, compared with 11 vegetation indices, plant height and biomass. The results demonstrate that the coefficient of rice growth vegetation index 2 was 0.83, has the highest correlation with plant height. Rice growth vegetation index 2 is more appropriate for enhancing and obtaining rice phenology information. This study analyses the best spectral vegetation indices for estimating rice growth.

Crop growth monitoring is an important phenomenon for agriculture classification, yield estimation, agriculture field management, improve productivity, irrigation, fertilizer management, sustainable agricultural development, food security and to understand how environment and climate change effect on crops especially in Russia as it has a large and diverse agricultural production. In this study, we assimilated monthly crop phenology from January to December 2018 by using the NDVI time series derived from moderate to high Spatio-temporal resolution Sentinel and Landsat data in cropland field at Samara airport area, Russia. The results support the potential of Sentinel and Landsat data derived NDVI time series for accurate crop phenological monitoring with all crop growth stages such as active tillering, jointing, maturity and harvesting according to crop calendar with reasonable thematic accuracy. This satellite data generated NDVI based work has great potential to provide valuable support for assessing crop growth status and the above-mentioned objectives with sustainable agriculture development.

Social life convinces that without cultivating such moral values as goodness, humanity, responsibility, self-esteem, creative initiative, enterprise, tolerance, one can hardly expect to improve the moral situation in our country. These moral phenomena, in the period of transition to a market that has not yet become civilized, serve the function of harmonizing personal and public interests.