Characteristics Of Resources Research Articles

Quantitative Evaluation Method and Response Mechanism of Shallow Groundwater in Multi-Mine Mining of “Soil–Rock” Composite Water-Resisting Strata

The sustainability of shallow groundwater systems, pivotal to maintaining ecosystem equilibrium and facilitating the sustainable development of mine sites, is the core of various dynamic indicators in response to mining activity and mining area planning. This study quantitatively evaluates the impact of mining activities on shallow groundwater systems at the orefield scale, taking the equivalent permeability coefficient (EPC) of “Soil–Rock” composite water-resisting strata and the response mechanism of shallow groundwater in multi-mine mining as the entry points. A modified six-step evaluation method for the response mechanism of shallow groundwater in multi-mine mining is proposed using mathematical statistics, numerical simulation, and theoretical analysis methods. The method is used to evaluate the sustainability of the shallow water system in the Yushen mining area, to study the distribution characteristics of the water resource carrying capacity (WRCC) in different mining areas of the Yushen area, and to analyze the number of mines allowed to be mined under geological conditions with a WRCC of more than moderate bearing capacity. The results show that when the mining area of a mine in the Yushen area is set to 1 × 108, 7.5 × 107, 5 × 107, and 2.5 × 107 m2, as the mining area of the designed mine decreases, the area bearing surplus gradually increases, with values of 1.70 × 109, 1.98 × 109, 2.28 × 109, and 2.58 × 109 m2. The number of mines allowed to be mined under geological conditions with a WRCC above moderate capacity is 20, 31, 51, and 112, respectively.

Ecological-Based Mining: A Coal–Water–Thermal Collaborative Paradigm in Ecologically Fragile Areas in Western China

A substantial reduction in groundwater level, exacerbated by coal mining activities, is intensifying water scarcity in western China’s ecologically fragile coal mining areas. China’s national strategic goal of achieving a carbon peak and carbon neutrality has made eco-friendly mining that prioritizes the protection and efficient use of water resources essential. Based on the resource characteristics of mine water and heat hazards, an intensive coal–water–thermal collaborative co-mining paradigm for the duration of the mining process is proposed. An integrated system for the production, supply, and storage of mining companion resources is achieved through technologies such as roof water inrush prevention and control, hydrothermal quality improvement, and deep-injection geological storage. An active preventive and control system achieved by adjusting the mining technology and a passive system centered on multi-objective drainage and grouting treatment are suggested, in accordance with the original geological characteristics and dynamic process of water inrush. By implementing advanced multi-objective drainage, specifically designed to address the “skylight-type” water inrush mode in the Yulin mining area of Shaanxi Province, a substantial reduction of 50% in water drillings and inflow was achieved, leading to stabilized water conditions that effectively ensure subsequent safe coal mining. An integrated-energy complementary model that incorporates the clean production concept of heat utilization is also proposed. The findings indicate a potential saving of 8419 t of standard coal by using water and air heat as an alternative heating source for the Xiaojihan coalmine, resulting in an impressive energy conservation of 50.2% and a notable 24.2% reduction in carbon emissions. The ultra-deep sustained water injection of 100 m3·h−1 in a single well would not rupture the formation or cause water leakage, and 7.87 × 105 t of mine water could be effectively stored in the Liujiagou Formation, presenting a viable method for mine–water management in the Ordos Basin and providing insights for green and low-carbon mining.

Real-time operation strategy of virtual power plants with optimal power disaggregation among heterogeneous resources

The virtual power plant (VPP) can aggregate flexible resources on the demand side to provide frequency regulation for the grid, helping address the supply–demand balance challenges. When deploying regulation, the VPP disaggregates the requested power adjustment in real time among its internal heterogeneous resources. Achieving optimal power disaggregation in this process is challenging due to the temporal coupling characteristics of the resources, the uncertain regulation signals, and the requirement for fast response. Therefore, existing research relies on heuristic methods, such as proportional disaggregation, and fails to leverage the heterogeneity of multiple resources. Here, we propose an optimal operation strategy for VPPs to provide regulation, exploiting the complementary characteristics of heterogeneous resources by prioritising the use of low-cost resources while considering temporal coupling. To reduce the computational overhead of online deployment, we further propose a fast disaggregation algorithm to eliminate the reliance on optimisation solvers. We conducted case studies on the operation of a VPP composed of resources including thermostatically controlled loads and industrial production processes. The results verified the reduced operation cost and increased profit of the VPP under the proposed strategy, with only milliseconds of online computation time. We believe that our work can help better exploit demand-side flexibility.

ПРОГНОЗИРОВАНИЕ ОТКАЗОВ ДЕТАЛЕЙ МЕТАЛЛУРГИЧЕСКОГО ОБОРУДОВАНИЯ ПО КРИТЕРИЯМ ПРОЧНОСТИ, ИЗГОТОВЛЕННЫХ ИЗ СЕРОГО ЧУГУНА, НА ОСНОВЕ МИКРОСТРУКТУРНОГО МОДЕЛИРОВАНИЯ НАПРЯЖЕННОГО СОСТОЯНИЯ

The article proposes a methodology for estimating the gamma-percent life of metallurgical equipment parts made of grey cast iron on the basis of micro structural modelling of its stress state, which is formulated using known relationships for estimating the average life of mechanical equipment parts by the criterion of kinetic strength, the linearisation method of random arguments allowing to estimate the variance of the function under study and tools of micro structural modelling of the stress state of the material. It allows at the stages of design and operation to take into account the all-round influence of loading conditions of the investigated technical object, its operating temperature, physical and mechanical characteristics of structural components of grey cast iron on gamma-percent resource. Its main distinctive features are mathematical dependences allowing estimating the value of dispersion of parameters necessary for calculation of resource characteristics, as well as the possibility of taking into account the anisotropy of the real structure of grey cast iron. In addition, the procedure of verification of the proposed methodology by comparing theoretically obtained values of gamma-percent resource with the value established in the normative and technical documentation is carried out. The spacer plate of SMD-110 jaw crusher, made of grey cast iron of GI-20 grade, is considered as an object of research physical and mechanical characteristics of its structural components, such as modulus of elasticity and Vickers micro hardness were experimentally evaluated using the method of instrumental indentation. The prediction error does not exceed 18%, which in turn confirms a sufficient level of reliability of the theoretical solutions proposed in this article, which can be used in the design of metallurgical equipment parts made of grey cast iron, as well as in the formation of the periodicity structure of its repairs.

ПРОГНОЗИРОВАНИЕ ОТКАЗОВ ДЕТАЛЕЙ МЕТАЛЛУРГИЧЕСКОГО ОБОРУДОВАНИЯ ПО КРИТЕРИЯМ ПРОЧНОСТИ, ИЗГОТОВЛЕННЫХ ИЗ СЕРОГО ЧУГУНА, НА ОСНОВЕ МИКРОСТРУКТУРНОГО МОДЕЛИРОВАНИЯ НАПРЯЖЕННОГО СОСТОЯНИЯ

The article proposes a methodology for estimating the gamma-percent life of metallurgical equipment parts made of grey cast iron on the basis of micro structural modelling of its stress state, which is formulated using known relationships for estimating the average life of mechanical equipment parts by the criterion of kinetic strength, the linearisation method of random arguments allowing to estimate the variance of the function under study and tools of micro structural modelling of the stress state of the material. It allows at the stages of design and operation to take into account the all-round influence of loading conditions of the investigated technical object, its operating temperature, physical and mechanical characteristics of structural components of grey cast iron on gamma-percent resource. Its main distinctive features are mathematical dependences allowing estimating the value of dispersion of parameters necessary for calculation of resource characteristics, as well as the possibility of taking into account the anisotropy of the real structure of grey cast iron. In addition, the procedure of verification of the proposed methodology by comparing theoretically obtained values of gamma-percent resource with the value established in the normative and technical documentation is carried out. The spacer plate of SMD-110 jaw crusher, made of grey cast iron of GI-20 grade, is considered as an object of research physical and mechanical characteristics of its structural components, such as modulus of elasticity and Vickers micro hardness were experimentally evaluated using the method of instrumental indentation. The prediction error does not exceed 18%, which in turn confirms a sufficient level of reliability of the theoretical solutions proposed in this article, which can be used in the design of metallurgical equipment parts made of grey cast iron, as well as in the formation of the periodicity structure of its repairs.

Research on Human Resource Allocation Algorithm for Application Integration Feature Selection in the Internet of Things Environment

Abstract In the context of the Internet of Things, the existing human resource optimization allocation methods have problems such as time-consuming resource allocation, improper allocation, improper matching between tasks and resources, and unsatisfactory human resources. This paper proposes a new human resource allocation method based on the multi-objective method, that is, the use of comprehensive feature selection for resource allocation. The method first extracts human resource features to establish a database, then completes feature selection based on the comprehensive feature selection method, establishes the human resource allocation model, and allocates resources according to various factors and resource characteristics. Finally, the genetic algorithm is used to solve the human resource allocation model to achieve the optimal allocation of human resources. The experimental results show that the proposed method takes a shorter time to allocate human resources and a shorter time to execute tasks after the allocation is completed, which verifies the high scheduling efficiency and effectiveness of the proposed method.

«Каждому молодому труженику – среднее образование»: всеобуч в сельской Якутии 1960–1980-х гг.

The present article hinges primarily on the research of quantitative and qualitative characteristics of human resources of rural Yakutia in the Soviet period. The regional experience in implementing the policy of introduc-ing secondary universal education in rural areas is considered. Republican measures to involve working youth in a flexible educational system through educational and advisory centers, part-time and evening schools are highlighted. Difficulties in providing universal schooling for rural schoolchildren and lagging behind the materi-al and technical base of educational institutions in small and remote settlements are pointed out. According to the study, in the period of 1960–1980s, the network of rural schools of different forms of education expanded in the republic and the number of secondary school students increased. Thanks to targeted campaigns, a real breakthrough in the education system occurred, and the level of general education of rural youth and agricul-tural workers in general was raised.

The Spatial-Temporal Matching Characteristics of Water Resources and Socio-Economic Development Factors: A Case Study of Guangdong Province

The spatial-temporal mismatch of water resources and socio-economic development in rapidly urbanized regions has been the focus of water resource management, and is one of the main limitations to sustainable development goals (SDGs). Guangdong Province is represented by a highly developed economy and society, and has been undergoing disproportionately rapid population growth during the past two decades. The uneven distribution and spatial mismatch of water resources have aggravated the contradictions between water supply demand. In this paper, we evaluate the matching degree of water resources and social economic elements, detect the spatial-temporal changing pattern of the matching degree, and reveal the changing mechanism using the combined methods of the Thiel index, the space–time Gini coefficient, and the Lorenz curve. The results show that (1) the temporal matching is relatively balanced and reasonable, while the spatial mismatch is prominent and deteriorating constantly, especially the connection between the amount of water and GDP; (2) the water volume pressure is mainly concentrated in the Peral River Delta and eastern and western Guangdong, while water consumption stress is relatively lower in northeastern Guangdong; and (3) the water volume inequality is dominated by an intercity difference and is primarily caused by regional differences. Based on the results, policy implications, such as the implementation of integrated water resource management plans, investment in the development of alternative water sources, as well as enhanced public education and the establishment of a water saving society, have been provided to alleviate the mismatch issue between water elements and socio-economic parameters, and to push the realization of water-related SDGs.

An Evolutionary Algorithm for Task Clustering and Scheduling in IoT Edge Computing

The Internet of Things (IoT) edge is an emerging technology of sensors and devices that communicate real-time data to a network. IoT edge computing was introduced to handle the latency concerns related to cloud computing data management, as the data are processed closer to their point of origin. Clustering and scheduling tasks on IoT edge computing are considered a challenging problem due to the diverse nature of task and resource characteristics. Metaheuristics and optimization methods are widely used in IoT edge task clustering and scheduling. This paper introduced a new task clustering and scheduling mechanism using differential evolution optimization on IoT edge computing. The proposed mechanism aims to optimize task clustering and scheduling to find optimal execution times for submitted tasks. The proposed mechanism for task clustering is based on the degree of similarity of task characteristics. The proposed mechanisms use an evolutionary mechanism to distribute system tasks across suitable IoT edge resources. The clustering tasks process categorizes tasks with similar requirements and then maps them to appropriate resources. To evaluate the proposed differential evolution mechanism for IoT edge task clustering and scheduling, this study conducted several simulation experiments against two established mechanisms: the Firefly Algorithm (FA) and Particle Swarm Optimization (PSO). The simulation configuration was carefully created to mimic real-world IoT edge computing settings to ensure the proposed mechanism’s applicability and the simulation results’ relevance. In the heavyweight workload scenario, the proposed DE mechanism started with an execution time of 916.61 milliseconds, compared to FA’s 1092 milliseconds and PSO’s 1026.09 milliseconds. By the 50th iteration, the proposed DE mechanism had reduced its execution time significantly to around 821.27 milliseconds, whereas FA and PSO showed lesser improvements, with FA at approximately 1053.06 milliseconds and PSO stabilizing at 956.12 milliseconds. The simulation results revealed that the proposed differential evolution mechanism for edge task clustering and scheduling outperforms FA and PSO regarding system efficiency and stability, significantly reducing execution time and having minimal variation across simulation iterations.

Sustainable resource management in China's energy mining sector: A synthesis of development and conservation in the FinTech era

The optimal exploitation of energy and mineral resources is crucial to the optimal allocation of resources and the sustainable development of Society. Based on the optimal control theory, this paper establishes a dynamic model of inter-period optimal exploitation of mineral resources and examines the impacts of energy resource supply and environmental pollution with the help of a panel data vector autoregressive (PVAR) model under the constraints of environmental regulations and technological advances in each region. These results show that the estimated coefficient for the one-period lag of energy supply is significantly positive at the 1% level, indicating that a positive shock resulting in increased energy supply in the preceding period is associated with a pronounced escalation in environmental pollution. Meanwhile, the estimated coefficient for the one-period lag of environmental pollution is negative at the 1% level. In contrast, the estimated coefficients for the one-period lag of environmental regulation and technological progress are positive. It implies that positive shocks in the intensity of environmental regulation and technological progress in the previous period contribute to a more efficient energy supply. Furthermore, the estimated coefficient for the one-period lag of environmental pollution and energy supply is significantly positive at 1%. It suggests that heightened environmental pollution and energy shortages in the preceding period prompted the government to undertake necessary measures to address these issues. Therefore, establishing a theoretical model that meets the characteristics of China's resources will be conducive to realizing sustainable development of resources and the environment.

Application Analysis of English Personalized Learning Based on Large-scale Open Network Courses

In the context of Big data, large-scale open online courses increase learning paths for learners, but in the face of countless high-quality curriculum resources, it is easy for derivative learners to face the dilemma of rich curriculum resources but difficult to choose resources, which leads to information maze for learners. How to help learners quickly and accurately find their own learning resources in the explosive growth of MOOC resources is an urgent problem in the field of education Big data. However, the traditional Collaborative filtering recommendation technology does not perform well when dealing with sparse data and cold start. The recommendation content is repeated and can not effectively deal with high-dimensional and nonlinear data of online learning users, resulting in low efficiency of resource recommendation. Therefore, the study adopts a deep belief network (DBN) to construct a personalized resource recommendation model. The model combines the learner behavior characteristics with the curriculum resource content attribute characteristics to form the learner feature vector. The parameters of the model are adjusted according to the characteristics of learners. Through experiments, the proposed model has shown good performance. The experiment explored the effects of training set size, learner characteristics, and GPU on model performance. The experimental results show that when the training set proportion is 100%, the RMSE, Accuracy, Recall, and F1 values of the model are 0.76, 0.946, 0.957, and 0.951, respectively. When the model is trained using a training set containing learner features, the RMSE, Accuracy, Recall, and F1 values of the model are 0.75, 0.962, 0.908, and 0.958, respectively. After using GPU to accelerate the model, the running time of the model decreased from 360 minutes to 90 minutes. The results indicate that the model cannot effectively mine data information when the degree of correlation between sample information is low. The richer the relationships between samples, the better the performance of the model. Simultaneously learning hunger feature vectors and learner behavior feature vectors for training can significantly improve the recommendation accuracy of the model. The main contribution of this study is to propose a recommendation method based on DBN classification to replace traditional similarity calculation methods, using DBN's efficient feature abstraction and feature extraction capabilities to fully explore learners' interest and preference for course resources. In addition, in view of the common problems of cold start and data sparsity in traditional Collaborative filtering recommendation methods, the research deeply mines the characteristics of learners' Demographics and curriculum resources' content attributes, and constructs a learner interest model based on DBN combined with learners' behavior characteristics, which effectively solves the problems of cold start and data sparsity, as well as the inaccurate expression of learners' interest preferences for curriculum resources.

New Power System Planning and Evolution Path with Multi-Flexibility Resource Coordination

With the continuous development of large-scale wind and photovoltaic power worldwide, the net load fluctuation of systems is increasing, thereby imposing higher demands for power supply assurance and new energy consumption capacity within emerging power systems. It is imperative to establish a quantifiable and efficient model for planning new power systems, to propose an analytical approach for determining optimal evolutionary paths, and to advance research on flexible resource planning across wide areas. In this paper, based on the simplified operating characteristics of multi-type flexible resources, a source-grid-load-storage collaborative planning and evolution analysis framework is established. Secondly, the lowest total cost of the whole life cycle of the system is taken as the optimization goal, the multiple flexible resource investment decisions and production operation constraints of various flexible resources on all sides of the system are considered, and the source-grid-load-storage planning model is established. Then, through the investment decision-making strategy setting of the system in different planning level years, the evolutionary path analysis method of the whole life cycle economy and weighted environmental protection benefit of the system is given. Finally, by taking the sending-end power grid in Gansu Province as an example, a case study is carried out. Calculations of new energy, key channels within the province, energy storage capacity, and load-side response capacity requirements for 2025, 2030, and 2060 are optimized. Based on the above analysis, the optimal evolution path of the power grid is proposed. When considering the weighted benefits of economy and environmental protection, the greater the weight of environmental protection benefits, the greater the possibility of choosing a radical scheme. The model and method proposed in this paper can provide technical reference for the future development planning and evolution analysis of new power systems.

Main applications and characterization of world resources of niobium and progress in extraction

This paper focuses on niobium applications in the steel industry, aerospace industry, electronics industry, superconducting alloys, medical and other fields. As the demand of niobium resources is increasing year by year, this paper also introduces the distribution and characteristics of niobium resources in the world, and the characteristics of niobium resources in Bayan Obo. As well as the current situation and main methods of niobium resources development and utilization.

Rule-in-Use for Community-Based Springs Management Faces Land Use Pressures: Lesson Learned from Manggarai District

The struggle for water is one of the greatest immediate risks of the climate crisis. Therefore, the institutional challenge of water management is increasingly urgent and requires a number of consensuses to succeed, including community-based natural resource management (CBNRM). A key challenge to the traditional consensus for water conservation is the increasing need for land conversion due to population growth, which in turn deflects decision-making power away from traditional institutions towards external decision-makers such as regional governments. Using Ostrom's conceptual framework of rules of use, this research examines shifting spring water management in the context of Kabupaten Manggarai. The paper explores traditional rules of water management in the community and compares it to the institutional development of springs in four villages. Ultimately, it analyses the gap between the traditional rules of water management and the reality on the ground. The study finds that traditional community management of springs is subject to power contestation due to unclear institutional direction, which in turn emerges from opaque land and spatial planning policies and political decisions. These policies are overly economic and do not take into account traditional conservation and resources characteristics.

ЭВОЛЮЦИЯ ТЕОРИИ И ПРАКТИКИ УПРАВЛЕНИЯ РАЗВИТИЕМ ОРГАНИЗАЦИЙ ВЫСШЕГО ОБРАЗОВАНИЯ

The article considers the evolution of the theory and practice of managing the development of higher education organizations. The system of continuous education in Russia was formed in the 19th century, which is associated with the publication of the manifesto of Alexander I on the establishment of the Ministry of Public Education of the Russian Empire in 1802. Until that time, there was no separate body to manage the entire system of Russian education. To assess the development potential, the characteristics of innovative activities, human resources and information support for management are used. Assessing the development potential of an educational organization of higher education in the context of changes is one of the elements of the methodological basis for the formation of change modeling programs aimed at improving the sustainability of higher education institutions. Considering the problems of higher education management in the context of the crisis caused by the COVID-19 coronavirus pandemic, they offer a number of recommendations for adapting the university management system to the new conditions. They note that the crisis creates the need to switch to distance learning and develop new management models. The authors also believe that in the near future, many universities will switch to online learning, which will require the development of digital platforms and improving the digital competence of teachers. The authors also note that contact learning will become more elite and individual, and that blended and hybrid forms of learning will also be possible.

ДИДАКТИЧЕСКИЙ ПОДХОД КАК ОСНОВАНИЕ ПРИМЕНЕНИЯ КОМПОНЕНТОВ ОБРАЗОВАТЕЛЬНОГО СЕГМЕНТА ЕДИНОЙ ИНФОРМАЦИОННО-ОБРАЗОВАТЕЛЬНОЙ СРЕДЫ В РЕСПУБЛИКЕ БЕЛАРУСЬ

The article analyzes the problems of justifying the didactic approach, which is determined as one of the theoretical and methodological foundations for the systematic use of digital components of the educational segment of the Republican information and educational environment in educational institutions of the Republic of Belarus. The purpose of the study is to determine the theoretical provisions that make up one of the scientific and methodological grounds for effective integration of high-tech teaching tools into the didactic process, taking into account continuity at the levels of general secondary and higher education in the Republic of Belarus. The focus of the scientific search for the author is actualized by the deployment of processes of digital transformation of education both in the Republic of Belarus and in the post-­Soviet space, which is one of the important trends in the development of the educational sphere in the emerging society of the digitalization era. The methodological basis of the study is a comparative-­comparative analysis of the array of sources that are presented by scientific publications on the issues under consideration, as well as documents of state programs in the field of digitalization of education in the Republic of Belarus. Based on the generalizations made, the author determined the determinants that determine the interest of the scientific community in studying a set of issues related to the intensive integration of innovative information and communication technologies into the educational activities of its subjects. The problematic field of research is outlined, which in its scientific novelty allows from the standpoint of modern methodology to solve the current problems of pedagogical science. Together with the concretization of the conceptual and terminological apparatus and the understanding of the phenomenological essence of the digitalization of education, the author highlighted the meaningful characteristics of electronic educational resources — innovative teaching tools used in the context of the technologization of educational activities. The justification of the didactic approach allows you to determine the potential, functionality, as well as the originality of the use of high-tech components of the educational segment of the specific environment of pedagogical interaction — the Republican information and educational environment.

Многомерная демография: новый подход к оценке человеческих ресурсов российского Севера

Over the past three decades, the population of the Russian North has decreased by almost a quarter. Simultaneously, an increasing share of pensioners may negatively affect the availability and quality of labour resources in northern regions. The article examines the dynamics and structure of human resources in 13 regions of the Russian North in the 21st century using multidimensional demography. This approach, along with the main demographic indicators (sex, age) varying in time and space, involves considering such additional characteristics as education and labour force participation. This view of demographic processes can reveal whether an increase in education or employment (qualitative characteristics) can help reduce negative trends in the quantitative characteristics of human resources. The average duration of education of the total and employed population was compared. Indicators of the total duration of education and education costs were used to assess the value of the accumulated educational potential. According to the calculations, in 2002–2010, the total duration of education of the employed population decreased only in 3 of the 13 northern regions and remained at the 2002 level in 3 regions. In 2010–2021, this indicator already decreased in seven constituent entities and remained at the 2010 level in three regions. The total loss of educational potential of human resources amounted to 4.1 million person years of education. To remedy the educational potential in 2020 prices, more than 600 billion roubles of budgetary funds would be needed. The occurred transformations are clearly demonstrated by sex-age-educational pyramids. The study showed that negative demographic trends in the Russian North almost cannot be reduced by improving qualitative characteristics. The findings can be applied to develop demographic, social and labour policies, and to construct demographic forecasts.

Использование водных ресурсов в бассейне реки Барада

The purpose of the research is to study the current problems of water use for the Barada River basin (Syria) based on the analysis of the hydrological characteristics of natural water resources and making forecasts of the use of water resources for the future. To achieve this goal, methods are used to construct a theoretical supply curve based on average long-term data on the flow of the Barada River in Syria, as well as a predictive method based on retrospective data and a balance method for assessing the water management situation and the limiting period for the water content of the river during the year. The assessment of water use conditions and water availability periods was carried out for years of 90% availability of river flow for agriculture based on irrigation and for years of 75% availability of river flow for other industrial water users. The assessment of water resources and the analysis of the peculiarities of the use of the waters of the Barada River, taking into account local conditions, were carried out. Diffuse flows from territories are taken into account in water management balances. The pollution of river runoff by water quality class was also assessed. Recommendations are given for restoring the water quality in the river for different years in terms of water content. The recommendations take into account the use of sorbent meliorants for cleaning diffuse and drainage runoff with an efficiency of up to 90%.

Research on Computer-aided Innovation and Entrepreneurship Education Model and Algorithm

Abstract With the rapid development of science and technology, computer-aided technology has been widely used in the field of education, but in the field of innovation and entrepreneurship education (Hereinafter referred to as IEE), there are still problems such as uneven distribution of resources and the disconnection between teaching content and actual needs. This paper puts forward a new model framework of computer-aided IEE, which is student-centered and practice-oriented. Through clear teaching objectives, rich course content, diverse teaching methods, and a scientific evaluation system, students’ innovative consciousness and entrepreneurial ability are comprehensively improved. The course covers innovative thinking, business models, market research, and other theoretical knowledge, and introduces virtual reality (VR) and augmented reality (AR) technologies to simulate the real entrepreneurial process and provide a practical platform. In the aspect of algorithm application, the research combines the content recommendation algorithm and collaborative filtering recommendation algorithm, constructs accurate user portraits by analyzing students’ learning behavior data, and matches them according to the characteristics of learning resources to recommend personalized learning resources for students. At the same time, the learning path optimization algorithm is developed, and the personalized and efficient learning path is planned by using the shortest path algorithm in graph theory to ensure that students can master the required knowledge in the shortest time. The experimental part designed a one-semester teaching experiment, and compared the differences between the experimental group and the control group in academic performance, learning participation, and satisfaction. The results show that the computer-aided IEE model significantly improves students’ academic performance, learning participation, and satisfaction, which verifies the effectiveness of the model. The research on the model and algorithm of computer-aided IEE proposed in this paper provides new ideas and methods for IEE, and helps to cultivate more high-quality talents with innovative thinking and entrepreneurial ability.

Coupling coordination spatial pattern between natural attractions and tourism potential with study travel implications: China case

Jiangxi has superior natural environmental conditions, but tourism development is insufficient. This study analysed the distribution characteristics of natural tourism resources in Jiangxi Province, evaluated the potential of ecotourism, spatialized the coupling and coordination relationship between tourism resources and tourism potential and proposed the direction of tourism development and study travel planning. Results: (1) Natural tourist attractions in Jiangxi are relatively dense in the north and northeast, while relatively sparse in the south. (2) Natural tourism potential is generally high in the surrounding and low in the middle and high in the south and low in the north, and are distributed in a strip like manner. (3) Jiangxi is basically in a coordinated state, with the overall coupling index is relatively high, while the spatial differences in coordination index are significant, indicating that natural tourism resources and natural tourism potential have a strong mutual influence but their distribution characteristics do not match. (4) Future optimized development zone of natural tourism will be in the north and northeast, and the expanded development zone will be in the northwest and southeast. Both thematic and comprehensive study travel routes can be launched in regions with relatively concentrated natural tourist attractions. This article provides a research perspective on the interaction between tourism resource endowment and development practices, and the results can provide reference for relevant fields, natural tourism development, and study travel practices.