Every year, hundreds of fires occur in the forests and rangelands across the world and damage thousands hectare of trees, shrubs, and plants which cause environmental and economic damages. This study aims to establish a real time forest fire alert system for better forest management and monitoring in Golestan Province. In this study, in order to prepare fire hazard maps, the required layers were produced based on fire data in Golestan forests and MODIS sensor data. At first, the natural fire data was divided into two categories of training and test samples randomly. Then, the vegetation moisture stresses and greenness were considered using six indexes of NDVI, MSI, WDVI, OSAVI, GVMI and NDWI in natural fire area of training category on the day before fire occurrence and a long period of 15 years, and the risk threshold of the parameters was considered in addition to selecting the best spectral index of vegetation. Finally, the model output was validated for fire occurrences of the test category. The results showed the possibility of prediction of fire site before occurrence of fire with more than 80 percent accuracy.

The scientific objective of this study is to demonstrate how a hybrid photovoltaic-grid-generator microsystem responds under transient regime to varying loads and grid disconnection/reconnection. The object of the research was realized by acquiring the electrical magnitudes from the three PV systems (25 kW, 40 kW, and 60 kW) connected to the grid and the consumer (on-grid), during the technological process where the load fluctuated uncontrollably. Similar recordings were also made for the transient regime caused by the grid disconnection, diesel generator activation (450 kVA), its synchronization with PV systems, power supply to receivers, and grid voltage restoration after diesel generator shutdown. Analysis of the data focused on power supply continuity, voltage stability, and frequency variations. Findings indicated that on-grid photovoltaic systems had a 7.9% maximum voltage deviation from the standard value (230 V) and a frequency variation within ±1%. In the transient period caused by the grid disconnection and reconnection, a brief period with supply interruption was noted. This study contributes to the understanding of hybrid system behavior during transient regimes.

Finance is the core of the modern economy and the bloodline of the real economy; adherence to the people-centered value orientation and the financial services of the real economy as the fundamental purpose is an important connotation of the road of economic development with Chinese characteristics. Financial work is distinctly political and people-oriented, and must consciously practice the concept of the people, serve agricultural and rural development and farmers to increase their income and contribute to the common prosperity of farmers and rural areas. This study is based on the key factors affecting the multidimensional poverty of rural households—external rural financial resources availability and internal rural household entrepreneurship, rural household risk resilience, and rural household financial capability joint analysis. Based on financial exclusion theory, financial inclusion theory, poverty trap theory, and financial literacy theory, to build a logical framework between the rural financial resources availability, farmers’ financial capability, farmers’ entrepreneurship, farmers’ risk management capability, and farmers’ poverty, and then empirically explore the optimization mechanism of poverty reduction for farmers, and analyze the heterogeneity of the financial resources availability, to reduce the return to poverty caused by the lack of entrepreneurial motivation and the low level of risk resilience of rural households. The study aims to improve the farmers’ financial capability and promote sustainable and high-quality development of rural households. In this study, we modeled financial resource availability and rural household poverty using structural equations and surveyed rural households using a scale questionnaire. It was found that financial resource availability significantly affects rural household risk resilience, farmers’ entrepreneurship, and rural household poverty and that rural household risk resilience significance mediates the relationship between financial resource availability and rural household poverty, financial capability plays a significant moderating role. However, the mediating effect of farmers’ entrepreneurship on the availability of financial resources and farmers’ poverty is insignificant. Here, we put forward corresponding countermeasures and recommendations: guiding the allocation of financial resources to key areas and weak links; optimizing financial services; and building a long-term mechanism.

This study focuses on the environmental cost accounting and economic benefit optimization of China’s FAW Hongqi New Energy Vehicle manufacturing enterprise under uncertain conditions, within the context of the emission permit system This study calculates the pollution situation throughout the manufacturing and production process of FAW Hongqi new energy vehicles, and constructs a multi-level environmental cost evaluation system for FAW Hongqi new energy vehicle manufacturing projects. Through the interval fuzzy model of FAW Hongqi new energy vehicle manufacturing projects, the maximum economic benefits of the enterprise are simulated. The research results indicate that the pollution emissions of enterprises are mainly concentrated in the three processes of welding, painting, and final assembly. Enterprises use their own exhaust gas and wastewater treatment devices to meet the standards for pollution emissions. At the same time, solid waste generated during the automobile manufacturing process is handed over to third-party companies for treatment. Secondly, based on the accounting results of enterprise pollution source intensity and a multi-layer environmental cost evaluation system, the environmental costs of enterprises are accounted for, and the environmental costs are represented in interval form to reduce uncertainty in the accounting process. According to the accounting results of enterprise environmental costs, the main environmental costs of enterprises are environmental remediation costs caused by normal pollution discharge and purchase costs of environmental protection facilities. Pollutant emission taxes and routine environmental monitoring costs are relatively low. Enterprises can adopt more scientific solutions from the aspects of environmental remediation and environmental protection facilities to reduce environmental costs. After optimization by the fuzzy interval uncertainty optimization model, the economic benefits of the FAW Hongqi new energy vehicle manufacturing project were [101,254.71, 6278.5413] million yuan. Compared with the interval uncertainty optimization model, the lower bound of economic benefits increased by 57.68%, and the upper bound decreased by 12.08%, shortening the results of the economic benefits interval. Clarify the current environmental pollution situation of FAW Hongqi’s new energy vehicle manufacturing enterprise, provide data support for sustainable development of the enterprise, and provide reasonable decision-making space for enterprise decision-makers.

This study developed a specific scale to measure the impact of extrinsic motivations on students’ decisions to pursue online graduate programs at business schools in Latin America. Using a mixed-methods approach, the research proceeded in three stages. In the first stage, the construct was defined by identifying key extrinsic factors motivating students to enroll in online graduate programs, followed by the creation and initial validation of the scale in Colombia. The second stage involved testing the scale in Chile to determine its cross-cultural applicability. In the third stage, the scale’s predictive validity was confirmed, demonstrating its effectiveness in explaining how extrinsic motivations influence students’ intentions to enroll in online graduate programs. The findings indicate that the scale, composed of five dimensions—Cost Reduction, Ability to Study from Any Location, Control Over Learning Pace, Flexibility to Balance Study and Work, and Avoiding Commuting Time—is a reliable predictor of student preferences and intentions in online graduate education. The final scale includes 25 items across these dimensions, measuring extrinsic factors through items related to flexibility, time savings, and global accessibility. Validation in two Latin American countries confirms the scale’s relevance across diverse cultural contexts, enhancing its applicability within the region. This study provides empirical evidence that extrinsic motivation is a key determinant of students’ intentions to enroll in online programs in developing countries. It confirms that extrinsic motivations reflect a preference for flexible learning options compatible with students’ lifestyles and professional needs, linked to their beliefs about time management, professional advancement, and career opportunities associated with earning a graduate degree.

The existence of residential well-being of the locals in the sense of equilibrium-state is a competitive advantage for tourism in a given destination. The rise of overtourism could jeopardize this equilibrium and ultimately the effectiveness of tourism in a vulnerable destination. The research question of the study aimed to answer: what are the spiral dynamics of the multifactorial characteristics of the sense of place that can be mapped under the influence of overtourism. Answering the question draws attention to the sense of place—which can be interpreted as a synonym for local character—of the issues of overtourism and residential well-being. Mapping the mechanism of action of the multifactorial characteristic of locality can help to identify non-supportive functions, to pinpoint the balance point for moving towards a supportive quality, and to answer the “how yes” questions at individual, local and collective levels. The answer to the research question is the result of concluding three district-specific sub-questions. The assessment of the results was based on the content analysis of 251 posts (2017–2021) in the local public Facebook group (supplemented by a questionnaire survey of local residents (2022), 30 in-depth interviews with experts and residents (2022) conducted as part of the cross-sectional research, and 10 additional in-depth interviews with residents (2024) conducted for the last sub-question. The flowchart showing the current state of the district along a negative spiral dynamic, the possibility to turn it in a positive direction, and the mind-map-like summary of local, individual and collective mitigation and solution alternatives supporting the change of direction can be considered as a novel scientific result.