A study on how to improve users' perceived playfulness in and continuance intention with VR technology to paint in virtual natural landscapes.

COVID-19 has adversely affected public access to public green spaces. As a means of interacting with nature, parks and green spaces are an important aspect of residents' daily lives. In this study, the focus is on new digital solutions, such as the experience of painting in virtual natural settings through virtual reality technologies. This study examines factors that affect the user's perceived playfulness and continuance intention to paint in a virtual environment. A total of 732 valid samples were collected through a questionnaire survey, and a theoretical model was developed through structural equation model by analyzing attitude, perceived behavioral control, behavioral intention, continuance intention, and perceived playfulness. Results demonstrate that perceived novelty and perceived sustainability increase the positive attitude of users toward VR painting functions, whereas perceived interactivity and aesthetics have no impact on it within VR painting context. As users use VR painting, they are more concerned about time and money than equipment compatibility. This makes resource facilitating conditions a more influential factor for perceived behavior control than technology facilitating conditions.

COVID-19 patient diagnosis and treatment data mining algorithm based on association rules.

Association rules are used in different data mining applications, including Web mining, intrusion detection, and bioinformatics. This study mainly discusses the COVID-19 patient diagnosis and treatment data mining algorithm based on association rules. General data The key time interval during the main diagnosis and treatment process (including onset to dyspnea, first diagnosis, admission, mechanical ventilation, death, and the time from first diagnosis to admission, etc.), the cause of death by laboratory examination, and so forth. The frequency of drug use was counted and association rule algorithm was used to analyse and study the effect of drug treatment. The results could provide reference for rational drug use in COVID-19 patients. In this study, in order to improve the efficiency of data mining in data processing, it is necessary to pre-process these data. Secondly, in the application of this data mining, the main objective is to extract association rules of COVID-19 complications. So its properties for mining should be various diseases. Therefore, it is necessary to classify individual disease types. During the construction of association rules database, the data in the data warehouse is analysed online and the association rules data mining is analysed. The results are stored in the knowledge base for decision support. For example, the prediction results of the decision tree can be displayed at this level. After the construction of the mining model, the display interface can be mined, and the decision-maker can input the corresponding attribute value and then predict it. 0.76% of people had both COVID-19, CHD and hypertension, while 46.5% of people with COVID-19 and CHD were likely to have hypertension. This study is helpful to analyse the imaging factors of COVID-19 disease.

The Effect of Using Augmented Reality Technology in Takeaway Food Packaging to Improve Young Consumers' Negative Evaluations

This paper examines the use of augmented reality technology in the design of packaging for takeaway food to assist in marketing. The research is divided into three studies for progressive investigation and analysis. Study 1 collected 375,859 negative evaluations of food delivery from the Internet and explored the main reasons that may have impacted the user's evaluation by Latent Dirichlet Allocation topic modeling. Study 2 evaluated the effectiveness of augmented reality packaging by surveying 165 subjects and comparing it with traditional packaging. We conducted a survey of 1603 subjects in Study 3 and used the technology incentive model (TIM) to analyze how augmented reality technology positively impacts food delivery marketing. It has been established that packaging will influence the negative perception of consumers about buying and eating takeout food. Specifically, augmented reality technology can improve negative evaluations by providing a more conducive user experience than traditional packaging. According to our findings, augmented reality technology has improved the consumers' perception of interaction, perceived vividness, and novelty experience, and achieved the aim of promoting takeaway food retail by improving negative evaluations posted by users.

mRNA based vaccines provide broad protection against different SARS-CoV-2 variants of concern.

In order to overcome the pandemic of COVID-19, messenger RNA (mRNA)-based vaccine has been extensively researched as a rapid and versatile strategy. Herein, we described the immunogenicity of mRNA-based vaccines for Beta and the most recent Omicron variants. The homologous mRNA-Beta and mRNA-Omicron and heterologous Ad5-nCoV plus mRNA vaccine exhibited high-level cross-reactive neutralization for Beta, original, Delta, and Omicron variants. It indicated that the COVID-19 mRNA vaccines have great potential in the clinical use against different SARS-CoV-2 variants.

The impact of COVID-19 on the ride-sharing industry and its recovery: Causal evidence from China.

The COVID-19 pandemic has brought unprecedented disruptions to many industries, and the transportation industry is among the most disrupted ones. We seek to address, in the context of a ride-sharing platform, the response of drivers to the pandemic and the post-pandemic recovery. We collected comprehensive trip data from one of the leading ride-sharing companies in China from September 2019 to August 2020, which cover pre-, during-, and post-pandemic phases in three major Chinese cities, and investigate the causal effect of the COVID-19 pandemic on driver behavior. We find that drivers only slightly reduce their number of shifts in response to increased COVID-19 cases, likely because they have to make a living from providing ride-sharing services. Nevertheless, conditional on working, drivers exhibit strong risk aversion: As the number of new cases increases, drivers strategically adjust the scope of their search for passengers, complete fewer trips, and as a result, make lower daily earnings. Finally, our heterogeneity analyses indicate that the effects appear to vary both across drivers and over time, with generally stronger effects on drivers who are older, more experienced, more active before the pandemic, and higher-status within the firm. Our findings have strong policy implications: These drivers tend to contribute more to the focal company, and also rely more on providing ride-sharing services to make a living. Therefore, they should be prioritized in stimulus plans offered by the government or the ride-sharing company.

Influencers and COVID-19: reviewing key issues in press coverage across Australia, China, Japan, and South Korea

As COVID-19 broke out across the Asia Pacific from December 2019, media coverage on its impacts proliferated online. Among these discourses, coverage on influencers was prominent, likely as many of the issues arising from COVID-19 contingencies ? such as digitalization, public messaging, and misinformation ? are cornerstones of this digital economy. In response, this cross-cultural study draws on a corpus of Australian, Chinese, Japanese, and Korean online news articles published between January and May 2020, to understand how local news ecologies were parsing the impacts of COVID-19 on influencers. From the coding of 150 news articles guided by Grounded Theory, this article focuses on the impact of the pandemic on influencers, and influencers? engagements with and reactions to the pandemic. Our study of individual governments? past engagements with their influencer industries suggest that local backstories and contexts are crucial to decipher why news angles tend to pitch particular stories on influencers.