As the first study of Chinese newspaper coverage of depression over the past twelve years, this paper analyzed how state-controlled Party press and market-oriented City press framed depression and attributed responsibilities at individual and societal levels. The study also explored how cultural and organizational factors influenced frame building. Findings indicate that print news coverage utilized more thematic than episodic framing. However, there was a gradual decrease in thematic and increase in episodic framing over time. Chinese newspapers placed more problem-solving (but not causal) responsibilities on the society. City press was less likely than Party press to make societal-level responsibility attributions.
Smart tourism is the latest achievement of tourism development at home and abroad. It is also an essential part of the smart city. Promoting the application of computer and sensor technology in smart tourism is conducive to improving the efficiency of public tourism services and guiding the innovation of the tourism public service mode. In this paper, we have proposed a new method of using data collected by sensor networks. We have developed and deployed sensors to collect data, which are transmitted to the modular cloud platform, and combined with cluster technology and an Uncertain Support Vector Classifier (A-USVC) location prediction method to assist in emergency events. Considering the attraction of tourists, the system also incorporated human trajectory analysis and intensity of interaction as consideration factors to validate the spatial dynamics of different interests and enhance the tourists’ experience. The system explored the innovative road of computer technology to boost the development of smart tourism, which helps to promote the high-quality development of tourism.
Internet finance has become a popular business in today?s society. However, different from the physical objects or services sold online, Internet financial products are actually contracts defined by financial terms which make customers bear the possibility of capital losses and liquidity restrictions, but they can obtain profits in the future with some uncertainties. This paper takes consumer?s cognition in the decision making of Internet financial products as research circumstances, studies the above issue by conducting an EEG-fNIRS experiment, and proposes an effective cognitive computation method based on neural activity data through BP-GA algorithm. On this basis, a new recommendation approach of Internet financial products is explored according to consumer?s typical shared mental model. The computing and testing results indicate that researches of this paper provide promising new ideas and novel methods for the cognitive computation of artificial intelligence and the recommendation of Internet financial products.
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