An Empirical Study on the Fossilization of English Language Learning in the Context of Multimedia Network Teaching

To carry out the pilot teaching of multimedia assisted teaching and self-learning mode of network platform for experimental class, the data analysis results obtained by using tools such as questionnaire survey show that:The multimedia network teaching environment has a great effect on the students’ vocabulary knowledge fossilization, but has little effect on the grammar knowledge fossilization; The fossilization of reading ability among the four communicative abilities of English language is alleviated obviously, and the self-assessed oral ability of students improves faster after the addition of oral English classes; It accelerates the ossification of writing and listening ability, but it is mainly caused by the characteristics of the network itself and improper learning methods of students.

Research on Information Visualization Design for Reducing Cognitive Anxiety during the Epidemic

Purpose: To reduce people’s cognitive anxiety during the special period of the epidemic through the use of information visualization methods, and to build a psychological construction for correct understanding of the epidemic. Methods: Analyze the causes of cognitive anxiety, and propose to reduce cognitive anxiety through data screening and display and visualization design in information visualization design, to reduce people’s cognitive anxiety in emergencies. Conclusion: Through the design of the new coronary pneumonia epidemic data visualization network platform, it provides a valuable model for the research on how to reduce cognitive anxiety through information visualization design.

Effects of employee identity salience on content sharing in social networks

PurposeThis research explores whether, when and why employee identity salience influences content sharing of employee's friends in social networks and further investigates two moderating conditions of network overlap and deal content.Design/methodology/approach In Study 1, the authors analyzed a field data related to 20,715 users on the largest social network platform in China. In Studies 2 and 3, the authors verified the findings of Study 1 and tested the underlying mechanism with two experiments.Findings The results showed that employee identity salience could increase sharing likelihood of content receiver, especially when the employee had higher network overlap with receiver. However, when the content contained deal-related information, the receiver was less likely to share this content from employee with salient identity. The authors also found that perceived information credibility acted as a mediator in above relationships.Originality/value This research is the first to test the effects of employee identity salience on content sharing by considering both content type and network characteristics. The authors also provide insights into the mediating role of information credibility, which enriches the content sharing and social network literature.

Towards Blockchain Network Platform for IoT Data Integrity and Scalability

<p>Decentralised technology backed by blockchain has gained popularity in recent years, as it secures autonomous ecosystems without the need for a central authority. The blockchain concept originated in the financial domain using cryptocurrency but has been applied to a variety of industries over the last few years. In the era of Industry 4.0, most enterprises leverage automation by using Internet of Things (IoT) technology. Despite the numerous applications of blockchain across industries, significant latency in the consensus algorithm in blockchain hinders its adoption among businesses using IoT technology. A number of studies have addressed the obstacles of transaction processing performance and system scalability, mostly based on a public blockchain. However, the approaches still involve centralised components and thus fail to fully utilise decentralisation. Here, a private blockchain-based IoT data integration platform is proposed to achieve data integrity and system scalability. Along with a lightweight IoT gateway, instead of any other additional middleware, the process and the system configuration are streamlined. By using Hyperledger Fabric, the design is validated, and the proposed architecture outperforms other conventional models in IoT data processing. Thus, decentralisation in IoT environments is achieved.</p>

Towards Blockchain Network Platform for IoT Data Integrity and Scalability

<p>Decentralised technology backed by blockchain has gained popularity in recent years, as it secures autonomous ecosystems without the need for a central authority. The blockchain concept originated in the financial domain using cryptocurrency but has been applied to a variety of industries over the last few years. In the era of Industry 4.0, most enterprises leverage automation by using Internet of Things (IoT) technology. Despite the numerous applications of blockchain across industries, significant latency in the consensus algorithm in blockchain hinders its adoption among businesses using IoT technology. A number of studies have addressed the obstacles of transaction processing performance and system scalability, mostly based on a public blockchain. However, the approaches still involve centralised components and thus fail to fully utilise decentralisation. Here, a private blockchain-based IoT data integration platform is proposed to achieve data integrity and system scalability. Along with a lightweight IoT gateway, instead of any other additional middleware, the process and the system configuration are streamlined. By using Hyperledger Fabric, the design is validated, and the proposed architecture outperforms other conventional models in IoT data processing. Thus, decentralisation in IoT environments is achieved.</p>