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Scientific measurement of miners’ safety commitment level contributes to controlling miners’ unsafe behavior. But the existing studies have directly adopted other relevant and well-established scales to capture safety commitment, lacking the exploration of essential connotation of safety commitment. Aiming at these problems, based on the prototype theory, the in-depth interview method and critical incident method were applied to define the connotation of miners’ safety commitment. Following the scale development process, the miners’ safety commitment scale containing 20 items was developed through exploratory factor analysis, confirmatory factor analysis, reliability and validity tests. The results showed that miners’ safety commitment consists of five dimensions, which are affective commitment, normative commitment, relationship commitment, involvement commitment, and promotion commitment. Among them, the largest explanatory contribution is affective commitment, and the smallest explanatory contribution is promotion commitment. The development of the miners’ safety commitment scale enriches the commitment research system and provides theoretical basis and a measurement tool for further exploration of safety commitment.

The research on the fatigue of front-line employees in coal mines is conducive to the realization of coal mine safety production and is of great significance to reduce unsafe accidents. In order to explore the effect of different shift systems on the fatigue of front-line employees in coal mines, a fatigue assessment model based on EEG signals was constructed by tracking investigation and EEG signal acquisition of 25 employees in different shift systems in Hongliulin Coal Mine. The effects of “three eight-hour shifts” and “four six-hour shifts” on the fatigue of front-line employees in coal mines are analyzed from the characteristics of fatigue. The results show that the shift system based on the “three eight-hour shifts” has a more serious impact on the fatigue of front-line employees. The workload of employees under the “four six-hour shifts” shift system is relatively small, which is more conducive to fatigue recovery and reduces the probability of unsafe accidents. It is suggested that on the premise of reasonable down-hole time required by law, combined with the current situation of coal mine capacity and cost consumption,reasonably formulate the shift system and gradually implement the “four six-hour shifts” shift system. It can not only ensure the physical and mental health of front-line employees, but also match the means of production and productivity to achieve the purpose of coal mine safety production.

The development of green technology (GT) may have a vital influence in decreasing carbon releases, and the linkage between the advancement of GT and CO2 releases in China's agricultural industry has not attracted enough attention. The main objectives of this study are to assess the influence of agricultural green technology advancement on efficiency enhancement, release control capabilities, agricultural energy structure, and agriculture industrial structure. This article decomposes the advancement of green technology (AGTP) in the agricultural industry in China into resource-saving green technology advancement (AEGTP) and emission reduction green technology advancement (ACGTP). At the same time, to evaluate the intermediary impact of green technology advancement, a two-step econometric model and an intermediary impact model were utilized to evaluate the panel data of 30 provinces in China from 1998 to 2018. The role of AGTP (including ACGTP and AEGTP) and CO2 release concentration has also been explored critically. The results show that (i) under the two-step measurement method, AGTP has substantial favorable impacts on agricultural energy efficiency (EF) and possesses a negative impact on agriculture industrial structure (PS) and agricultural energy structure (ES). Agricultural energy efficiency (EF) and agriculture industrial structure (PS) under AGTP will reduce CO2 release concentration, but the path of agricultural energy structure (ES) will increase CO2 release concentration. (ii) At the national level, AGTP has an immediate unfavorable influence on CO2 releases. After introducing the intermediary variables, the intermediary impact of AGTP on CO2 releases through agricultural energy efficiency (EF), agriculture industrial structure (PS), and agricultural energy structure (ES) is also significantly negative, and the direct impacts of each variable are higher than the intermediary impact. (iii) In terms of different zones, the direct impacts of AGTP are all significant. The order of significance of the direct impacts of different zones is west to central and central to eastern. The overall significance ranking of the mediating impact is ACGTP > AEGTP > AGTP, and the significance ranking of each index is ES > EF > PS. Finally, this article puts forward some policy recommendations to reduce CO2 releases.

Training in coal mining enterprises is one of the important measures to improve the safety quality of employees and improve the level of safety management, and there are also safety risks in the training process. In order to improve the management level, standardized and normalized means are adopted to solve the problem of safety and quality of training in the training process of coal mining enterprises, and to fill the gap in the part of safety management training in the quality management system. By applying the six-sigma theory and taking the safety training process as the research object, the standardized structure and connotation of the training safety and quality management system are constructed from five aspects, namely, the organizational system, the training system, the evaluation system, the supervision system and the management system. It provides a theoretical reference for strengthening the standardization construction of coal mine safety training quality and improving the research of coal industry training safety quality and training efficiency.

The investment efficiency of real estate can, to some extent, reflect the development of a province's real estate industry. A good efficiency can also be conducive to economic growth and social stability. This paper uses DEA model to measure the real estate investment efficiency of 11 prefecture-level cities in Shanxi Province from 2017 to 2021, which helps to understand the current state of investment efficiency in Shanxi Province. The results found that the mean value of TE in Shanxi Province is 0.8136, the mean value of PTE is 0.9145, and the mean value of SE is 0.9369, indicating that Shanxi is inefficient and there is still room for improvement.

Designing new materials that can be used to treat environmental pollutants is one of the prime focuses of chemical science. Here, an unprecedented photocatalytic material with high activity of catechol sensitized ZnTiO3/TiO2/ZnO hollow microspheres was synthesized by hydrothermal method. The structure and properties of the composite photocatalyst were analyzed by various testing methods. The photocatalytic activity was evaluated by using methylene blue (MB) as the target degradation substance. The results demonstrated that catechol (CA) sensitized ZnTiO3/TiO2/ZnO photocatalyst is a hollow microsphere with a diameter of 1–1.5 mm, the CA molecules are covalently bonded to the ZnTiO3/TiO2/ZnO surface, and the composite photocatalyst has good light absorption and carrier separation performance. Under the condition of irradiation for 90 min, the degradation rate of the composite photocatalyst for MB was higher than that of ZnTiO3/TiO2/ZnO. When the loading amount of CA was 0.6 wt%, the degradation rate of CA/ZnTiO3/TiO2/ZnO for MB was as high as 98.28 %, and the reaction rate constant was up to 4.35×10−2 min−1. A reasonable mechanism of photocatalytic degradation of pollutants by catechol as sensitizer on ZnTiO3/TiO2/ZnO was proposed. This study provides a theoretical reference for efficient photodegradation of pollutants in the environment. [ABSTRACT FROM AUTHOR]

In this study, a paradigm is proposed for 45° viewing angle and changing stimuli-based motor imagery brain-computer interface (MI-BCI). The viewing angle from the first-person perspective can better activate mirror neurons, which can improve the process of converting participants' subjective motive intentions into operational controls. BCI performance is influenced by factors such as user attention and rhythmic visual stimulation has been shown to modulate visual attention. 18 participants completed the two-factor MI task of three viewing angles and two visual stimulus types. The results showed that the classification accuracy was found to be 76% with a 45°viewing angle and changing stimuli, which has a positive impact on the BCI's performance as well as the participants' focus of attention during the tasks and reduces their level of visual fatigue. The findings of this study offer helpful direction for creating future interface paradigms for MI-BCI that are more effective and user-friendly. [ABSTRACT FROM AUTHOR]