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Most of the existing smart space machine vision technologies are oriented to specific applications, which are not conducive to knowledge sharing and reuse. Most smart devices require people to participate in control and cannot actively provide services for people. In response to the above problems, this research proposes a smart factory based on a deep network model, which is capable of data mining and analysis based on a huge database, enabling the factory to have self-learning capabilities. On this basis, tasks such as optimization of energy consumption and automatic judgment of production decisions are completed. Based on the deep network model, the accuracy of the model for image analysis is improved. Increasing the number of hidden layers will cause errors in the neural network and increase the amount of calculation. The appropriate number of neurons can be selected according to the characteristics of the model. When the IoU threshold is taken as 0.75, its performance is improved by 1.23% year-on-year. The residual structure composed of asymmetric multiple convolution kernels not only increases the number of feature extraction layers, but also allows the asymmetric image details to be better preserved. The recognition accuracy of the trained deep network model reaches 99.1%, which is much higher than other detection models, and its average recognition time is 0.175s. In the research of machine vision technology, the smart factory based on the deep network model not only maintains a high recognition accuracy rate, but also meets the real- time requirements of the system.

Resumo
À medida que as relações entre a China e o Brasil se aprofundam, as duas partes reforçam a sua cooperação nos domínios político, econômico e comercial. Neste processo, os intercâmbios culturais e educacionais têm sido valorizados por ambas as partes como uma via importante de promover o contato interpessoal e a aprendizagem mútua entre as duas culturas. Desde 1985, ano em que foi assinado o primeiro acordo de intercâmbio no domínio da educação entre os dois países, a cooperação educacional sino-brasileira começou a se expandir e têm se destacado as seguintes características: diversificação de conteúdos e formas de cooperação educacional; formação de um enquadramento de cooperação que engloba atores e níveis diversificados; aumento de quantidade e qualidade do ensino de línguas; e a ascensão da educação temática como instrumento de promover a aprendizagem mútua entre as culturas chinesa e brasileira. Nas últimas décadas, a cooperação educacional China-Brasil alcançou resultados variados, porém, esta continua enfrentando alguns desafios práticos, tais como a falta de institucionalização, a necessidade de alargar constantemente a sua quantidade e qualidade e a exigência de um conhecimento mútuo mais aprofundado sobre as realidades de educação das duas partes. No futuro, os dois países poderão reforçar a cooperação educacional e beneficiar ambos os povos por meio de promover a construção de mecanismos de cooperação relevantes, se focar mais na garantia de qualidade da cooperação, aprofundar os respetivos estudos sobre países e regiões, estabelecer banco de recursos de educação online e reforçar a cooperação no ensino profissional.

Abstract
This study explored Mandarin-speaking children's independent ability in using conjunctions to relate events in personal narration. Twenty three-year-olds, twenty four-year-olds, twenty five-year-olds and twenty six-year-olds participated, and they were prompted to tell personal stories. Conjunctions were assessed in terms of the use of seven types of connectives. With age, Mandarin-speaking children used more diversified conjunctions and produced more conjunctions in their personal narratives. Significant differences were found across age groups in the frequency of sequential, temporal, and simple connectives, but the proportional use of these three connectives did not differ across age groups. No gender differences were found in the use of any of the connectives. Mandarin-speaking children relied on sequential, temporal and simple connectives to relate events in their narratives, and the use of causal, additive, adversative and conditional connectives were rare. Chinese mothers' greater emphasis on knowledge, social rules and moral standards may contribute to this.

The recycling of waste products is an important way to achieve global sustainable development. To analyze the impact of different objects of government subsidies on single-channel recycling based on recycling propaganda, four theory game models of single-channel recycling based on government subsidies and recycling propaganda are established. By comparing and analyzing the effects of different subsidies and propaganda strategies on the recycling of waste products in the four models, this article mainly draws the following conclusions: the government selecting different objects to subsidize has the same effect on the unit recycling price, quantity, and revenue of waste products; when the government subsidizes the processors, the consigned recycling price of waste products will increase, but when the government subsidizes recyclers, it will decrease; when the propagandist is determined, the optimal value of propaganda is related to the sensitivity of residents to the unit recycling price of waste products, the unit propaganda of waste products, and the expenses of propagating waste products.

PurposeThis study aims to examine the factors (Stimuli) enhancing perceived utilitarian, social and conditional values (Organisms) of social commerce (s-commerce) platforms and their impact on small and medium enterprises' (SMEs') behavioral intention (Response) to adopt s-commerce.Design/methodology/approachSurvey data were gathered from 304 Indian SMEs using s-commerce platforms. Data were analyzed using SmartPLS 3 software.FindingsThe results indicated that perceived values significantly impact SMEs' behavioral intention to adopt s-commerce. Among conditional, utilitarian and social values, the conditional value of s-commerce sites was found to be the strongest motivator for SMEs to adopt s-commerce.Research limitations/implicationsThis research contributes to the growing literature on s-commerce, explaining how perceived value influences the decision of SMEs to adopt s-commerce platforms.Practical implicationsAmong the significant influencers, perceived usefulness and perceived reputation were found to be the most effective triggers that stimulate perceived values of s-commerce sites. The findings draw due attention from policymakers toward environmental cues such as the legal and regulatory environment, which are instrumental in creating the most important perceived value for SMEs, i.e. conditional value.Originality/valueBy employing the inputs from the theory of consumption values and the Stimulus-Organism-Response framework, this original study looked beyond the technology factors and examined the role of perceived values of s-commerce platforms in shaping SMEs' behavioral intention to adopt.

In general, weak compressibility is one of the properties of liquids. That is, in actual operation of hydraulic machinery, the flow is weakly compressible. However, the influence of weak compressibility is often neglected in usual numerical simulation, which makes the simulation results different from the experimental results. Based on the Computational Fluid Dynamics (CFD) solver and model test rig, by means of mutual verification between numerical simulation and experiment, the fitting degree between numerical results and experimental results before and after considering weak compressibility is compared and analyzed in this paper; it is obtained that the numerical results is closer to the experimental results after considering the weak compressibility. In addition, velocity field of pump turbines, head loss of main components, and the change of entropy yield are analyzed and reasons for numerical value being closer to the experimental value after considering weak compressibility of fluid are summarized and analyzed. It is proved that the consideration of weak compressibility is of great significance to improve the accuracy of results in the numerical simulation of pump turbines.