In recent years, precise high flow oxygen therapy as a new type of oxygen therapy machine has gradually attracted people’s attention and has been widely used in hospital emergency and clinical treatment of respiratory diseases; especially in recent years, severe coronavirus disease has played an important role in the treatment of patients. This paper presents a new type of precise high flow oxygen therapy machine with electromagnetic pneumatic flow valve as the core control element. A sliding mode control strategy based (...) on the system is proposed to realize the accurate control of oxygen concentration and output flow of oxygen therapy mixture. The physical equipment of the precision high flow system is established, and its working performance is verified through the test platform. The optimization design goal of the precision high flow equipment is achieved. (shrink)
Interfirm cooperation can be seen as a significant and effective way for exploring radical innovation. In this article, a framework of interfirm cooperation, with a core manufacture and upstream counterparties in industry, and its evolving mechanism in the reverse-chain radical innovation are established from the perspective of the fundamental role played by knowledge collaboration. Then, an evolution model of interfirm cooperation is constructed on the theory of vibration mechanics, and its evolutionary dynamics is explored through numerical and simulation analysis mainly (...) on the key factors of knowledge potential difference and knowledge rent-seeking behaviour within the firms. The findings show that, if there is no knowledge-based rent-seeking behaviour from the upstream firms, the probable innovative performance from the interfirm cooperation should vary for the knowledge potential difference between the cooperative firms, but can come to a certain equilibrium state. Meanwhile, if the knowledge rent-seeking behaviour does exist, knowledge potential difference would lead the innovative performance evolving ultimately in divergence. What’s more, the negative effect caused by the rent-seeking behaviour could be alleviated or weakened to some extent by the excitation mechanisms presented by the core firms in the cooperation system. Therefore, the drawn conclusions should be useful for the core manufactures’ implementing various strategies to maintain or enhance the cooperation for radical innovation in industry. (shrink)
The metaverse concept constructs a virtual world parallel to the real world. The social economic dynamics model establishes a systematic model for social economic dynamics simulation that integrates macroeconomy and microeconomy based on modeling mechanism of the new theory of value by analogy with Newtonian mechanics and the modeling approach of Agent-based computational economics. This article describes the SED model’s modeling mechanisms, modeling rules, and behavior equations. At the same time, this article introduces the methods, testing standards, and some typical (...) cases about using the SED model to generate the economic digital twin systems. By doing so, we hope to demonstrate that the method of computer simulation experiment based on the SED model is a scientific empirical method, which has more advantages than the existing empirical research methods in economics. The SED model, which can be fully used to form an economic engine and construct a virtual economic system by digital twin method, can be integrated with the extant physical engine in the metaverse concept to build a virtual world consisting of physics, economy, culture, and politics that is close to and coexists with reality. (shrink)
Kindergarten climate has been reported to be closely associated with teachers' retention intention, yet the underlying mechanism of this association remains unclear in some ethnic minority areas in China. Based on the Personal-Environment Fit Theory and Organizational Support Theory, the research aims to examine the correlation between kindergarten climate and retention intention of Chinese kindergarten teachers in ethnic minority areas and the chain mediating role of perceived organizational support, as well as the psychological empowerment. In total, 1,199 Chinese kindergarten teachers (...) were recruited from ethnic minority areas to complete the questionnaires. Based on their responses, the main findings of the study were listed as follows: A supportive kindergarten climate has a positive correlation with perceived organizational support, psychological empowerment, and retention intention. A positive kindergarten climate would increase the retention intention only through the indirect path of perceived organizational support, psychological empowerment, as well as the chain mediating path between these two variables. Taken together, these results further explained the interplay between kindergarten climate and teachers' retention intention. Implications for research on retention intention were discussed. Theoretically, it enriches the theoretical basis related to the external environmental resources and individual cognition. Practically, it means that educational policymakers will need to issue new guidelines to ensure that more kindergarten teachers are retained in China's ethnic minority areas. (shrink)
Hui Shi (370-310B.C.E.?) is a unique one among the pre-Qin scholars. The object and orientation of his scholarship emphasized on “chasing after the materials” or the research for objective knowledge of natural things. He shows a tendency of tolerating and advocating diversity and variety, and intentionally pursuing new and unusual ideas. In certain degree he judges the value of knowledge by its truthfulness rather than its usefulness. As pointed out by Wing-tsit Chan, Hui shi represents a “tendency in ancient China (...) toward intellectualism for its own sake”. (shrink)
Complex energy systems can effectively integrate renewable energy sources such as wind and solar power into the information network and coordinate the operation of renewable energy sources to ensure its reliability. In the voltage source converter-based high voltage direct current system, the traditional vector control strategy faces some challenges, such as difficulty in PI parameters tuning and multiobjective optimizations. To overcome these issues, a finite control set model predictive control-based advanced control strategy is proposed. Based on the discrete mathematical model (...) of the grid-side voltage source converter, the proposed strategy optimizes a value function with errors of current magnitudes to predict switching status of the grid-side converter. Moreover, the abilities of the system in resisting disturbances and fault recovery are enhanced by compensating delay and introducing weight coefficients. The complex energy system in which the wind power is delivered by the voltage source converter-based high voltage direct current system is modeled by Simulink and simulation results show that the proposed strategy is superior to the tradition PI control strategy under various situations, such as wind power fluctuation and fault occurrences. (shrink)
Critical Discourse Analysis has excelled with its functional and ideological analysis of socio-political texts. Its capacities and achievements notwithstanding, this tradition is constituted of Western concepts, values, ways of thinking, analytic tools and topics of interest; such becomes problematic when universalised and globalised in international academic discourse. It is against this backdrop of cultural and intellectual tension that a culturally conscious and critical paradigm of discourse and communication research is emerging: Cultural Discourse Studies. It is manifested in the forms of (...) participation by searchers from the Developing World in significant proportions, development of locally grounded, globally minded research frameworks; and a growing multicultural awareness in the discipline. Inspired by Third World experiences, aspirations and scholarships on the one side and drawing on culturally critical insights in the human and social sciences on the other side, this multicultural scholarship endeavours to deconstruct ethnocentrism, construct culturally diversified modes of research and propel intercultural dialogue and debate in the discipline, all with a view to enhancing human cultural coexistence, harmony and prosperity. One exemplar of this new trend is Chinese Discourse Studies, characterised by a holistic philosophy, equilibrium and discrepancy theory, all-encompassing methodology and development-minded research agenda. (shrink)
Random noise often contaminates seismic data and reduces its signal-to-noise ratio. Therefore, the removal of random noise has been an essential step in seismic data processing. The [Formula: see text]-[Formula: see text] predictive filtering method is one of the most widely used methods in suppressing random noise. However, when the subsurface structure becomes complex, this method suffers from higher prediction errors owing to the large number of different dip components that need to be predicted. Here, we used a denoising convolutional (...) neural network algorithm to attenuate random noise in seismic data. This method does not assume the linearity and stationarity of the signal in the conventional [Formula: see text]-[Formula: see text] domain prediction technique, and it involves creating a set of training data that are obtained by data processing, feeding the neural network with the training data obtained, and deep network learning and training. During deep network learning and training, the activation function and batch normalization are used to solve the gradient vanishing and gradient explosion problems, and the residual learning technique is used to improve the calculation precision, respectively. After finishing deep network learning and training, the network will have the ability to separate the residual image from the seismic data with noise. Then, clean images can be obtained by subtracting the residual image from the raw data with noise. Tests on the synthetic and real data demonstrate that the DnCNN algorithm is very effective for random noise attenuation in seismic data. (shrink)
Leader behavior significantly influences employees’ safety performance. This study aimed to examine the effect of abusive supervision on the safety behaviors of subordinates. By drawing on the strength model of self-control, we predicted that abusive supervision would negatively affect safety behaviors through emotional exhaustion, and trait self-control and attentional bias toward safety would moderate the relationship between abusive supervision, emotional exhaustion, and safety behaviors. Our hypothesized model was supported by results from a sample of 159 workers at a chemical product (...) manufacturing enterprise in China. Emotional exhaustion mediated the link between abusive supervision and safety behaviors. Moreover, trait self-control moderated the relationship between abusive supervision and emotional exhaustion, and attentional bias toward safety moderated the relationship between emotional exhaustion and safety compliance. This study elucidates the effects of abusive supervision on safety behaviors through the resource depletion process. Likewise, the importance of trait self-control and attentional bias toward safety in mitigating the potentially harmful effects of abusive supervision in workplace safety is highlighted. Minimizing abusive supervision, providing self-control training, and implementing safety-specific implicit cognition intervention can effectively improve employees’ safety behaviors. (shrink)
The natural fractures in mud or shale directly affect the quality and efficiency of shale gas reservoirs, and fracture identification and prediction play an important role in drilling shale gas wells and making plans for reservoir stimulation. We adopted ant tracking technology for 3D poststack reflective seismic waves to identify the size and distribution of high-angle structural fractures in the Zhangjiatan shale of the Yanchang Formation in the Ordos Basin, which is a typical continental shale. The parameters for ant tracking (...) fractures are extracted from the investigation on outcrop, cores, and image logs. The prestack seismic diffractive wave imaging technique for the super-resolution identification of mid- and small-scale breakpoints can be used as the constraint conditions for ant tracking. The identified result of high-angle fractures was validated by the image logging and drilling gas logging results. The geologic and logging data indicate that the Zhangjiatan shale is mainly characterized by high-angle fractures and a smaller number of low-angle fractures. The fractures mainly trend in the near east–west direction, followed by the near north–south direction, and a small amount of fractures in the north–northeast and northwest–west directions. The average density of structural fractures is relatively low, but the cemented rate is only 15.7%, and most structural fractures maintain an open state. The identified and predicted structural fractures are mainly distributed in the southeast of well LP180 and south of well LP179. The higher gas shows from actual well drilling in shale directly correspond to the density and intensity of high-angle fractures rather than the matrix gas abundance in shale, which indicates that the sweet spot of gas production in shale is clearly controlled by structural fractures. (shrink)
ObjectiveThe psychological condition of healthcare workers since the COVID-19 pandemic has attracted the attention of many studies. However, few have reported on psychosocial problems of primary healthcare workers in the COVID-19 pandemic. This study aimed to examine the mediating roles of social support and resilience in COVID-19-related work stress and symptoms of anxiety and depression.MethodsA total of 840 primary healthcare workers in 17 community health centers in Guangzhou, China, were recruited from May to July 2021. Data on demographic characteristics, COVID-19-related (...) work stress, social support, resilience, anxiety and depression were collected. A structural equation model was used for mediation analysis.ResultsMore than half of participants reported mild or more severe symptoms of anxiety and depression. Social support and resilience mediate the association between COVID-19-related work stress and symptoms of anxiety and depression, respectively. Furthermore, the association between work stress and symptoms of anxiety and depression was also mediated by an accumulation of social support and resilience. The indirect effect of COVID-19-related work stress on anxiety and depression through resilience was much greater than other indirect effects.ConclusionAnxiety and depression were prevalent among primary healthcare workers. This study highlights the psychological impact of the COVID-19-related psychosocial work environment on primary healthcare workers. There is an urgent need to improve working conditions for primary healthcare workers in the COVID-19 and to implement intervention strategies aimed at increasing individual resilience alongside the establishment of external supportive work environments. (shrink)
