A B S T R A C TThe World Health Organization (WHO) has declared that the Corona Virus (COVID-19) has become a global pandemic. This study aimed to investigate the psychological symptoms of ordinary Chinese citizens during the Level I Emergency Response throughout China. From January 31 to February 2 2020, an online questionnaire, Symptom Checklist 90 (SCL-90) was designed, and differences in GSI T-scores among subgroups were examined by ANOVA. Based on a cut-off point of the GSI T-scores of 63, the overall sample was divided into high and lowrisk groups. of the 1,060 participants investigated in China, more than 70% of them have moderate and higher level of psychological symptoms specifically elevated scores for obsessive compulsion, interpersonal sensitivity, phobic anxiety, and psychoticism. There were no significant differences between males and females. Those who were of over 50 years old, had an undergraduate education and below, were divorced or widowed, and agricultural workers had significantly more symptoms. However, significantly more minors and medical staff were in the high-risk group. These results show that COVID-19 has a significant adverse socio-psychological influence on ordinary citizens. Therefore, governments should equip psychological health departments and pay attention to the people who are in high-risk groups, providing psychological interventions and assistance.

(1) Background: As a world-recognized high-risk occupation, coal mine workers need various cognitive functions to process the surrounding information to cope with a large number of perceived hazards or risks. Therefore, it is necessary to explore the connection between coal mine workers’ neural activity and unsafe behavior from the perspective of cognitive neuroscience. This study explored the functional brain connectivity of coal mine workers who have engaged in unsafe behaviors (EUB) and those who have not (NUB). (2) Methods: Based on functional near-infrared spectroscopy (fNIRS), a total of 106 workers from the Hongliulin coal mine of Shaanxi North Mining Group, one of the largest modern coal mines in China, completed the test. Pearson’s Correlation Coefficient (COR) analysis, brain network analysis, and two-sample t-test were used to investigate the difference in brain functional connectivity between the two groups. (3) Results: The results showed that there were significant differences in functional brain connectivity between EUB and NUB among the frontopolar area (p = 0.002325), orbitofrontal area (p = 0.02102), and pars triangularis Broca’s area (p = 0.02888). Small-world properties existed in the brain networks of both groups, and the dorsolateral prefrontal cortex had significant differences in clustering coefficient (p = 0.0004), nodal efficiency (p = 0.0384), and nodal local efficiency (p = 0.0004). (4) Conclusions: This study is the first application of fNIRS to the field of coal mine safety. The fNIRS brain functional connectivity analysis is a feasible method to investigate the neuropsychological mechanism of unsafe behavior in coal mine workers in the view of brain science.

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.

According to the International Labor Organization (2017), the lack of awareness of safety management leads to 3,000 deaths every day, two every minute, and caused economic losses of 4 percent of global GDP. Also, according to the ILO, 600,000 lives would be saved every year if the available safety management system was used. Therefore, it is necessary to strengthen the audit of safety management and evaluate the risks in the process, which will be conducive to the design of effective safety management methods and reduce the frequency of accidents. Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) is a common method for audit risk assessment, but in practice, evaluation results obtained using this method are ambiguous as the method relies on individual judgment. Thus, we used the interval-valued intuitionistic fuzzy uncertain language to improve the classical TOPSIS. In this paper, the safety management audit risk evaluation model is structured based on the modern audit risk model from International Auditing and Assurance Standards Board (IAASB). The improved TOPSIS is applied to assess the safety management audit risk from a general perspective. A company is used as the research object to verify safety management audit risk and ranking results of this study. Our empirical results are expected to help companies build future safety management strategies, ensure the safety of the production process, and also realize the sustainable development.

Optimizing a display interface design for rollers is the focus of this study, in which the effects of cognitive load of the operator are taken into consideration, which greatly contribute to acquiring interface information accurately and enhancing cognitive efficiency. To reduce the cognitive demand of the operator, a commonly used generic display interface is modified in this study. Three methods are used to measure the cognitive load, including subjective (NASA Task Load Index) and physiological (eye movement) measurements and through task performance. These three measurements are used with two groups of subjects: those who view the original and those who are given the modified version during four given tasks. The findings show that the modified interface has a significant impact on eye movement and completion time of the four tasks. After a comprehensive analysis of the results from the three types of measurement, it is found that the modified interface is less cognitively demanding than the original interface and allows a higher cognitive performance, which accordingly demonstrates that the modifications made are effective in reducing cognitive load. This study therefore provides the scientific basis for advancing interface designs and evaluating the display interface designs for engineering equipment.