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The existing coal mine gas extraction anomaly recognition needs to rely on manual assistance to view related data analysis, lacking autonomous and intelligent analysis means. The capability of timely handling of abnormal extraction is weak, and the multi-system linkage control function in case of gas disaster is lacking. The software deployment environment is single, and cross-platform and cross-end application access cannot be realized. In view of the above problems, a set of intelligent control software for whole mine gas extraction based on cross-platform architecture is designed. The software consists of two parts: company side and mine side gas extraction intelligent control software. By adopting technologies such as extraction multi-source data acquisition, extraction drill hole aided design, extraction data analysis, extraction equipment operation and maintenance management, extraction GIS display, extraction fusion control, the global visualization of an extraction system is realized. A comprehensive data display of mine up and down integrated extraction has been formed, and a multi-level data traceability access mechanism has been established. The comprehensive analysis of mathematical and physical characteristics of extraction data, extraction evaluation characteristics, equipment fault characteristics, extraction anomaly characteristics, and borehole trajectory characteristics is realized by constructing thematic data characteristic graph. In case of abnormal extraction, the software will automatically link with the broadcasting system to inform the evacuation personnel in the dangerous area of gas emission. At the same time, the software will link the ventilation monitoring system to strengthen the ventilation in the abnormal area. The software automatically pushes the abnormal alarm message to the relevant person in charge through the message push strategy, so as to solve the extraction problem in a timely and rapid manner. The Docker technology is adopted to realize the cross-platform design of the software. The SQL Server database and Web terminal application are deployed in the Docker environment. Native HTML technology combined with responsive layout style is adopted to realize multi-terminal access such as HTML webpage, mobile APP and WeChat applet. The field application results show that the software can meet the access needs of two levels of users of the group company and mine. The software effectively improves the efficiency of mine extraction, and enhances the capability of mine in gas extraction evaluation, extraction abnormal disposal and extraction utilization. The software reduces the occurrence rate of mine gas abnormal accidents.

The polymerization and degradation behaviors of polypropylene carbonate (PPC) of different molecular weights were explored in the presence of catalyst Salen–Co(III)–Cl. The degradation of low-molecular-weight PPC (Mn = 2500 g mol−1, Đ = 1.01) was studied in detail, which was a second-order reaction related to the molar concentrations of PPC and the catalyst. Catalyzed by salen–cobalt, the degradation reaction proceeded spontaneously and could be completed at room temperature and atmospheric pressure, which provided a green and economical method for chemical degradation recycling of CO2-based polycarbonate plastics. On the basis of the degradation investigation, a method for the synthesis of cyclic propylene carbonate from propylene oxide and CO2 at room temperature and atmospheric pressure was developed. [ABSTRACT FROM AUTHOR]

This study explores the relationship between parental attitudes toward outdoor activities and children’s health-related quality of life, focusing on the mediation of outdoor activity time and nature connections. Data from 399 kindergarten children, supplemented by parental insights, were analyzed using structural equation modelling (SEM). Positive parental attitudes toward outdoor activities were found to predict enhanced physical functioning and kindergarten performance. Additionally, a positive correlation was observed for social functioning, while emotional functioning remained unaffected. Parental attitudes directly influenced physical functioning, with indirect effects on kindergarten performance mediated by outdoor time and nature connections. These findings highlight the importance of parental attitudes in promoting children’s well-being and suggest potential strategies to enhance their health-related quality of life. [ABSTRACT FROM AUTHOR]

The embodied simulation hypothesis of modality-specific areas activation influencing language processing has matured over time. However, whether the idea can be applied to broader aspects other than language processing, such as memory processing, remains to be investigated. In this study, we extend the embodied simulation hypothesis, looking at the effects of motor simulation in mind, specifically handedness, on long-term memory retrieval. To test our hypothesis, we introduce two lists of Chinese characters as materials for memory and use old/new recognition tasks to measure retrieval performance. Our prediction of the results is that interfering with relevant motor systems (dominant hand) involved in memory encoding during retrieval will impair a person’s ability to recall. If our experimental results support our hypothesis, this not only provides strong evidence for the embodied simulation hypothesis but our research may also be applied to the field of memory, providing potential inspiration for memory enhancement.

The study explores the knowledge system and organisational learning activities of enterprises serving the elderly using the case study of two Chinese enterprises, and the following findings were obtained. The analysis shows that the complexity of the knowledge system of comprehensive enterprises for the elderly is not weaker than that of the professional technical service industry. The knowledge system of enterprises serving the elderly presents sequential characteristics. We ague that the types of knowledge elements of enterprises serving the elderly should be integrated and contained to form a knowledge system with holographic characteristics. Furthermore, the knowledge accumulation of enterprises serving the elderly depend on the selection of appropriate organisational learning strategies, showing an obvious spiral process of stimulus-response model. This paper provides valuable insights for the enterprises serving the elderly to determine the development direction and path. [ABSTRACT FROM AUTHOR]

For lack of deep analysis of hidden hazard data in current coal mine hidden hazard management, data mining algorithms which were suitable for discovering association rule of hidden hazard were introduced, and support-confidence-Kulczynski model was proposed to indicate association relationship among hidden hazard factors. Data warehouse is built after preprocessing and conversion of hidden hazard data, and mining analysis is conducted on four dimensions such as department, category, level and address of hidden hazard, so as to provide corresponding assistant decision-making according to strong association rule founded among dimensions. The actual application results show that occurrence of hidden hazard is reduced and reliable support is provided for coal mine hidden hazard management by use of the data mining algorithm.

Shortcomings of access control strategy in existing information management systems of coal mine were analyzed, and some views were pointed out that basic functions of account control strategy was simple in function and immutable in right during system running, and role-based access control strategy was lack of distinction of system data, which led to difficulty of system development and maintenance. An access control model based on meta-data and role was proposed, which implemented right management of user functions and data through configuring and limiting scope of accessing meta-data. Modular design and development of right management were realized by meta-control which reduced code repetition and logic complexity. The model has been used in a couple of integrated information management systems of coal mine and shows good flexibility and operability.

In order to release coal mine real-time data with high efficiency and in the form of graphic image, the paper proposed to apply SVG technology in coal mine monitoring system, and introduced real-time data release scheme based on SVG technology. The scheme uses Ajax technology to obtain real-time data in database server, and uses SVG technology to build intuitive and realtime vector graphics page of remote monitoring, which achieves loading and display of real-time data.

Sulfur-containing ABA-type polycarbonate triblock copolymers were synthesized via sequential copolymerization of propylene oxide (PO) and carbon dioxide (CO2), followed by propylene oxide (PO) and phthalic thioanhydride (PTA) in the presence of water and Salen-Metal catalysts. The reaction was catalyzed using Salen-Co(III)-Cl/[PPN]Cl and Salen-Cr(III)-Cl/[PPN]Cl catalyst systems. The content of thioester units in the copolymer chain could be adjusted by varying the feed ratios of PTA. These triblock polymers displayed a higher refractive index, reaching up to 1.561. [ABSTRACT FROM AUTHOR]

Primary pulmonary malignant peripheral nerve sheath tumor (MPNST) is a rare soft tissue sarcoma with a low incidence, poor prognosis and limited treatment options. The present study reported a case of lung MPNST in a 63-year-old male patient without any pulmonary symptoms. Immunohistochemical analysis of the tumor indicated a programmed death-ligand 1 (PD-L1) expression tumor proportion score of 60%. A total of six courses of sintilimab were used in this patient and a remarkable response was achieved. In summary, sintilimab single-agent immunotherapy may be a novel treatment for pulmonary MPNST. When encountering analogous cases in the future, oncologists can test for the expression of PD-L1 in patients to guide the therapy's design. [ABSTRACT FROM AUTHOR]

This paper proposes high‐degree cubature Kalman filter for nonlinear systems with missing measurements. We derive out the explicit formulas for the prediction and update in the filtering. To fulfill the numerical computation, especially the numerical integrals, of these formulas, the fifth‐degree spherical‐radial cubature rule is adopted to give a high‐degree cubature Kalman filtering algorithm. Through numerical example, it is shown that the fifth‐degree cubature Kalman filter has better precision and stability than the extended Kalman filter, the unscented Kalman filter, and the fifth‐degree unscented Kalman filter. [ABSTRACT FROM AUTHOR]