Background: Innovation and entrepreneurship education is the fundamental way to apply talent training in colleges and universities. The improvement of innovation and entrepreneurship ability is the embodiment of the success of innovation and entrepreneurship education. This paper discusses the influence mechanisms of entrepreneurial consciousness, entrepreneurial motivation, and entrepreneurial cognition on innovation and entrepreneurship ability. It analyzes the effect of the entrepreneurial atmosphere on the relationship between entrepreneurial consciousness, entrepreneurial motivation, and innovation and entrepreneurship ability. Methods: Based on the data from 1944 questionnaires, we used SPSS24.0 and AMOS22.0 software to analyze the composition and influencing factors of college students’ innovation and entrepreneurship ability. We constructed a structural equation model for empirical research. Results: The results showed that the scale of innovation and entrepreneurship ability had good reliability and validity. Entrepreneurial consciousness, entrepreneurial motivation, and entrepreneurial cognition had significant positive effects on innovation and entrepreneurship ability. Entrepreneurial atmosphere plays a moderating effect in the process that entrepreneurial consciousness affects innovation and entrepreneurship ability and entrepreneurial motivation affects innovation and entrepreneurship ability. Finally, based on China’s national conditions, we proposed suggestions to improve college students’ innovation and entrepreneurship ability from the two aspects of education and base construction to provide a reference for colleges and universities to transport entrepreneurial talents to society.

Miners’ unsafe behavior is the main cause of accidents in coal mines, and unsafe state have an important influence on unsafe behavior among miners. To minimize accidents from the source of accident chain, we evaluated the impact of workload on miners’ unsafe state. It is important for coal enterprises to monitor miners’ unsafe state and to prevent unsafe accidents. Workload is divided into two dimensions: work time and work demand. Meanwhile, we introduced job satisfaction as a moderating variable. Through empirical research methods, first-line employees from two coal mines in China were enrolled in the questionnaire survey. Regression analysis was used to verify the impact of workload and its various dimensions, job satisfaction, and miners’ unsafe state. We found that workload, work time and work demand have significant positive effects on miners’ unsafe state. Job satisfaction plays a moderating effect in the relationship between workload and miners’ unsafe state. To some extent, a higher job satisfaction was associated with reduced workload, reduced occurrence of miners’ unsafe state and minimal incidences of unsafe accidents. On this basis, measures were proposed to improve miners’ unsafe state in terms of workload and job satisfaction. This study informs the establishment of effective intervention measures to monitor miners’ unsafe state and is also beneficial to the improvement of coal mine safety.

At present, the frequent occurrence of coal mine accidents in China is a key concern in the field of safety. Although the coal mine accident rate is decreasing due to the progress of technology and the improvement of management, there is still a lack of comprehensive evaluation of the role of various factors in the coal mine. Therefore, the purpose of this study is to establish a game theory combination weight-TOPSIS comprehensive evaluation model based on the analysis of various factors affecting coal mine safety. The model combines the weights obtained from fuzzy analytic hierarchy process (FAHP), entropy weight method (EWM), and back propagation neural network (BP-NN) by using the combination method of game theory and then combines with the TOPSIS method to evaluate 20 indicators in four aspects of a coal mine: personnel, equipment, environment, and management. Taking five mines under Zheng Coal Group as an example, the evaluation results of the game theory combination weight-TOPSIS comprehensive evaluation model are compared with those of the fuzzy analytic hierarchy process and the improved composite weight-TOPSIS method. The results show that the safety grade of the five mine samples under Zhengmei Group is ranked as follows: mine 4 > grade II (relatively safe) > mine 2 > mine 5 > grade III (moderately safe) > mine 3 > mine 1 > grade IV (generally safe). The evaluation result of the game theory combination weight-TOPSIS method is basically consistent with the actual safety situation of the coal mine, which reflects the superiority and practicality of the evaluation model. The model has greater differentiation in the process of determining the coal mine safety grade, and the evaluation results are more intuitive and reasonable, which can provide a more effective evaluation tool for the comprehensive evaluation of coal mine safety. Finally, based on the evaluation results, corresponding policy recommendations to improve the status quo of coal mine safety are proposed, aiming to provide decision-making reference for coal mine safety management personnel.

Background: To effectively avoid accidents caused by practitioners’ unsafe state in the process of coal mine production processes, it is necessary to clarify the factors influencing the practitioners’ unsafe state, and take corresponding control measures accordingly. Methods: With the help of literature research and on-site interviews, grounded theory was used to construct the influencing factor index system of the coal mine practitioners’ unsafe state. The index system primary includes indices of four core categories, physiology, psychology, organization, and technology, and secondary indices of fourteen main categories. An AHP-DEMATEL model was constructed to calculate the comprehensive degree of influence of each influencing factor and rank it. Results: The results show that the main factors affecting the coal mine practitioners’ unsafe state are physical quality, degree of fatigue, safety attitude, safety awareness, safety culture, and vigilance. Physical quality and degree of fatigue are the key factors that affect the coal mine practitioners’ unsafe state, which is more consistent with the actual situation of coal mine practitioners. With the findings of this study, coal mine managers can take relevant countermeasures to intervene in coal mine practitioners’ unsafe state and reduce the occurrence of accidents.

The study of multi-subject psychological crisis intervention under emergencies is of great significance for maintaining the psychological states of public groups. A government’s strict regulation can stimulate social responsibility in medical institutions and communities, increase the probability that positive behavioral strategies might be chosen, and accelerate the implementation of psychological crisis intervention. In this paper, we constructed a four-party dynamic evolutionary game model containing the government, medical institutions, communities, and the public; analyzed the asymptotic stability conditions of the behavioral strategies of each player in the game; and explored the impact of the changes of the relevant key parameters in the model on the strategic choices of the players via use of Matlab 2020a simulation. The results of the study show that there are complex interactions and competitive relationships between the subjects of the game in emergencies, and that different intervention strategies can have different impacts on the behavior and outcomes of the subjects. The accountability of superiors increases the probability that there will be strict government regulation and enhances the robustness of medical institutions and communities to choose positive behaviors. A government’s decision to increase incentives and penalties may urge healthcare providers to provide active treatment and the community to provide safety and security, while also reducing the cost of public participation in supervision and reducing resource waste. By analyzing strategic choices made by subjects under a four-party game, a perfect countermeasure can be formulated to help the public form a positive psychological coping mechanism in the event of emergencies, and to provide support and help for their peers. Thus, the psychological health of the group can be better maintained, and extreme negative emotions and behaviors can be avoided. Finally, the simulation results demonstrate the rationality of the research conclusions and provide reference suggestions by which to improve the psychological crisis intervention system.

In the high-attention-demanding environment of underground coal mines, distraction is a major cause of unsafe behavior and decreased safety performance. Research on the cognitive neural mechanisms and monitoring of distraction in miners is limited. This study used an electroencephalogram (EEG) to examine the correlation between distraction and brain activity in coal miners, aiming to provide an objective method for monitoring distraction in coal miners. Thirty participants completed a simulated hazard recognition task, using the Sustained Attention to Response Task (SART) and noise to induce distraction. Brain activity was recorded and labeled as focused or distracted based on the correctness of the hazard recognition task. EEG features were extracted and selected, and a Random Forest model for distraction identification was constructed based on the selected features. In the focused state, delta power in the temporal region and theta power in the frontal region increased significantly. In the distracted state, alpha power in the temporal and occipital regions and beta power in the occipital and parietal regions increased. The selected EEG features could be used to identify distraction with 84% accuracy. This method can objectively identify distraction in coal miners, highlighting the potential of using EEG for real-time distraction monitoring.