This research delves into the urgent requirement for innovative agricultural methodologies amid growing concerns over sustainable development and food security. By employing machine learning strategies, particularly focusing on non-parametric learning algorithms, we explore the assessment of soil suitability for agricultural use under conditions of drought stress. Through the detailed examination of varied datasets, which include parameters like soil toxicity, terrain characteristics, and quality scores, our study offers new insights into the complexities of predicting soil suitability for crops. Our findings underline the effectiveness of various machine learning models, with the decision tree approach standing out for its accuracy, despite the need for comprehensive data gathering. Moreover, the research emphasizes the promise of merging machine learning techniques with conventional practices in soil science, paving the way for novel contributions to agricultural studies and practical implementations.

Background: Bitcoin mining, an energy-intensive process, requires significant amounts of electricity, which results in a particularly high carbon footprint from mining operations. In the Republic of Kazakhstan, where a substantial portion of electricity is generated from coal-fired power plants, the carbon footprint of mining operations is particularly high. This article examines the scale of energy consumption by mining farms, assesses their share in the country’s total electricity consumption, and analyzes the carbon footprint associated with bitcoin mining. A comparative analysis with other sectors of the economy, including transportation and industry is provided, along with possible measures to reduce the environmental impact of mining operations. Materials and methods: To assess the impact of bitcoin mining on the carbon footprint in Kazakhstan, electricity consumption from 2016 to 2023, provided by the Bureau of National Statistics of the Republic of Kazakhstan, was used. Data on electricity production from various types of power plants was also analyzed. The Life Cycle Assessment (LCA) methodology was used to analyze the environmental performance of energy systems. CO₂ emissions were estimated based on emission factors for various energy sources. Results: The total electricity consumption in Kazakhstan increased from 74,502 GWh in 2016 to 115,067.6 GWh in 2023. The industrial sector’s electricity consumption remained relatively stable over this period. The consumption by mining farms amounted to 10,346 GWh in 2021. A comparative analysis of CO₂ emissions showed that bitcoin mining has a higher carbon footprint compared to electricity generation from renewable sources, as well as oil refining and car manufacturing. Conclusions: Bitcoin mining has a significant negative impact on the environment of the Republic of Kazakhstan due to high electricity consumption and resulting carbon dioxide emissions. Measures are needed to transition to sustainable energy sources and improve energy efficiency to reduce the environmental footprint of cryptocurrency mining activities.

This study aimed to explore university students' awareness levels about entrepreneurship's role in promoting entrepreneurship in acquiring social and economic balance within Emirati society. A descriptive-analytical method was used, with data gathered from 365 participants through a questionnaire. The findings revealed that university students demonstrated a strong awareness of the impact of entrepreneurship on achieving entrepreneurship in acquiring social and economic balance equilibrium in the UAE. In particular, students from Ajman University expressed highly positive views on the entrepreneurship in fostering this balance. Additionally, the results showed no significant statistical differences in awareness levels based on gender or academic year. However, there were notable differences between students in scientific and humanities colleges, with the significance level below 0.05. The study recommends supporting students in launching entrepreneurial initiatives that contribute to entrepreneurship in acquiring social and economic development. Moreover, efforts should be made to eliminate barriers that hinder the understanding and practice of entrepreneurship.

Lake Batur is one of the national priorities, as it has economic value, and fish resources are used for food security and improving the local people’s welfare. The study examined the applicability of fisheries management status based on the ecosystem approach in lakes. The study was carried out from February to July 2023 using ecosystem approach methods in seven villages around Batur Lake, Bali, Indonesia, Data was collected through observations and interviews with 189 respondents. The success of fisheries management might be shown as a flag model after the composite domain and the total aggregate value of all dominants were rated. The results showed that the managed fish resources and stakeholders were unsatisfactory categories. Generally, social and fishing technology domains were classified as good categories. For that, ecosystem approach applications for sustainable fisheries in Batur Lake needed action under the five common scenario goals (a) reducing non-target fish (red devil) in the lakes by intensive capture and processing into other products of economic value; (b) regulations related to the reserve area as a place for fish to spawn and breed; (c) increasing the synergy of fisheries management policies; (d) increasing the stakeholder capacity; and (e) government support and related stakeholders regarding one regulation for fisheries management.

This research analyzes the relationship between political stability, renewable energy utilization, economic progress, and tourism in Indonesia from 1990 to 2020. We employ advanced econometric techniques, including the Fourier Bootstrap Autoregressive Distributed Lag (ARDL) approach and Fourier Toda-Yamamoto causality testing, to ensure the robustness of our results while accounting for smooth structural changes in the data. The analysis uncovers a long-term equilibrium relationship between tourism and its fundamental determinants. Our research reveals significant positive impacts of political stability and renewable energy consumption on tourism in Indonesia. A stable political environment creates a favorable climate for tourism development, instilling confidence in both domestic and international tourists. Promoting renewable energy usage aligns with sustainable tourism practices, attracting environmentally conscious travelers. Furthermore, our findings demonstrate a bi-directional causal relationship between these variables over time. Changes in political stability, renewable energy consumption, and economic growth profoundly influence the tourism sector, while the growth of tourism itself can also stimulate economic development and foster political stability. Our findings underscore the need for environmentally sustainable and politically stable tourism policies. Indonesia’s tourism sector can grow sustainably with renewable energy and stability. Policymakers can develop strategies with tourism, political stability, renewable energy, and economic prosperity in mind.

The purpose of this paper is to suggest some ways and mechanisms for creating long-term peace based on sustainable development of the world and the purpose of the work is to develop recommendations aimed at counteracting the emergence of dictatorial regimes that were legitimately established. Five common features of such dictators have been identified, namely: coming to power in a legitimate way, using manipulative technologies, openly declaring their aggressive intentions, gradually implementing their aggressive intentions, creating a military potential with the active participation of developed countries, including those with established democracies. The reasons for the creation of dictatorial regimes are substantiated, namely: the imperfection of electoral legislation, excessive conservatism of legislation, insufficient determination and timeliness of countering the strengthening of dictatorships, “national egoism”, the unscrupulousness of dictators in their foreign and domestic policies. It was determined that in order to actively oppose dictatorial regimes, it is necessary to: improve the system of elections to the highest positions and to the legislative bodies of the state, put a strong barrier against manipulative technologies and fakes, through the improvement and effective application of international legislation with the involvement of artificial intelligence, determine the strategy of relations with dictators in all directions in advance: economic, diplomatic, sports, scientific and technical, etc., establish the scope of relations in direct proportion to the index of democracy in a country with an authoritarian regime and, in order to prevent negative consequences on the economy and social condition of the society of one’s country, determine and carefully regulate import and export activities. It is proposed to start an indicator of the effectiveness of the head of state and an internal truth index of the head of state, as well as measures for moral stimulation of heads of state. As a result of the study, two root causes of threats to the existence of humanity were additionally identified, which directly affect the formation of dictatorial regimes. 1) The emergence on the basis of modern information technologies of a powerful system of manipulative technologies, the use of which leads to the power of future dictators. 2) Belated opposition of the democratic world to the formation of dictatorships. This is expressed in condescension to the initial illegal actions of future dictators, uncontrolled cooperation in the economic, political and humanitarian spheres. Two key mechanisms for achieving sustainable development and long-term peace are proposed.