ABSTRACT
To promote tourism recovery in the post-COVID-19 pandemic era, it is critical to understand the psychological factors that either boost or suppress travel demands. However, little is known about the underlying psychological mechanism that affects compensatory travel intention. Therefore, by scrutinizing the roles that autonomous self -motivation, sensation seeking, and perceived susceptibility to COVID-19 play, this study conducted two scenario -based experiments (N = 223 + 200) to explore the psychological mechanism and boundary conditions behind the influence of boredom on compensatory travel intention. The findings reveal that people are more likely to generate compensatory travel intention when there is a higher level of boredom during the COVID-19 pandemic due to their desire for sensation seeking. This effect is magnified when people adopt autonomous self-motivating strategies. However, for people with high (vs. low) perceived susceptibility to COVID-19, a high level of boredom evokes lower compensatory travel intention through sensation seeking.
ABSTRACT
Ozone is a highly effective and broad-spectrum non-residual gas disinfectant.The global COVID-19 pandemic has significantly affected public safety and health, and low concentrations of ozone can inactivate the novel coronavirus.The negative ion generator is a safe and efficient method to generate ozone.Through corona discharge on the needle plate, an ion current can be formed between the needle-plate electrodes and a certain concentration of ozone can be released.In the research on the relationship between the electrode-to-plate distance and ozone release in the negative ion generator, different experimental observations show contradictory results, making the theoretical explanation very difficult and complicated.As the needle-to-plate electrode distance increases, the continuous exponential decreasing trend of ozone emission rate changes to a non-continuous step-wised decreasing pattern, which is defined as the Quantum Ozone Emission Effect (QOEE).The QOEE was observed in all negative ion generators when the plate material was aluminium, stainless steel, yellow brass, or copper.The observed quantum ozone emission effect in negative ion generators may be related to the gas ionization potential of the oxygen molecule and to the electron avalanche theory.The quantum effect of ozone emission is a manifestation of the quantum behavior of the microscopic electron world in the macroscopic world.The ozone emission quantum effect provides a novel technical method for measuring the microscopic properties and corona discharge characteristics of materials. © 2022, Editorial Department of Journal of Xidian University. All right reserved.
ABSTRACT
BACKGROUND: Clarifying the synthesis and regulation of exosomes derived from mesenchymal stem cells is of great significance to the research and application of exosomes in the future. OBJECTIVE: To summarize the biological characteristics in exosomes derived from different mesenchymal stem cells and the role of these exosomes in the immune regulation, which hopes to find new breakthroughs in the study of exosomes in the future and provide ideas for cell-free therapy. METHODS: The articles were searched on PubMed, CNKI and Wanfang using the keywords of “stem cells, mesenchymal stem cells, exosomes, immunomodulation, inflammatory mediator, biological characteristics of exosomes, biological characteristics of mesenchymal stem cells, regeneration” in Chinese and English. Finally, 105 articles were included for review. RESULTS AND CONCLUSION: Mesenchymal stem cells are a type of pluripotent stem cells that exist widely in various tissues of the body. Mesenchymal stem cells not only have stem cell characteristics, but also play an important role in the immunosuppressive properties. Mesenchymal stem cells had been clinically applied for the treatment of many diseases. Therefore, mesenchymal stem cells were used to manage novel coronavirus pneumonia, and had ideal treatment effect. Exosomes are endosome-derived nanometer-scale vesicles (40–200 nm in diameter). Exosomes derived from mesenchymal stem cells have the same immune regulation function as its maternal cells, including that carrying immunosuppressive factors, promoting macrophages polarization into M2 type, preventing differentiation of pro-inflammatory T cell subsets and inhibiting antigen presentation. © 2022, Publishing House of Chinese Journal of Tissue Engineering Research. All rights reserved.
ABSTRACT
This paper explores the COVID-19 influences on the cross-correlation between the movie market and the financial market. The nonlinear cross-correlations between movie box office data and Google search volumes of financial terms such as Dow Jones Industrial Average (DJIA), NASDAQ and PMI are investigated based on multifractal detrended cross-correlation analysis (MF-DCCA). The empirical results show there are nonlinear cross-correlations between movie market and financial market. Metrics such as Hurst exponents, singular exponents and multifractal spectrum demonstrate that the cross-correlation between movie market and financial market is persistent, and the cross-correlation in long term is more stable than that in short term. In the COVID-19 period, the multifractal features of cross-correlation become stronger implying that COVID-19 enhanced the complexity between the movie industry and the financial market. Furthermore, through the rolling window analysis, the Hurst exponent dynamic trends indicate that COVID-19 has a clear influence on the cross-correlation between movie market and financial market. © 2021 World Scientific Publishing Company.
ABSTRACT
The emergence of novel coronavirus highlights the importance of research and development of biological protective materials and functional protective equipment. As an important experimental material, the direct application of chemical warfare agents (CWAs) will cause great pollution to the environment. The effective search for simulants determines the process of CWAs experiments. This paper combines molecular fingerprint and unsupervised learning algorithm to develop a simulants selection framework. A selection strategy is developed based on the silhouette coefficient. The closest simulants are found (GA (TEP/DEEP), GB (DFP), GD (DEHP), HD (CEES), VX (Amiton)) under a threshold (Silhouette coefficient: 0.2). This study can effectively help researchers to find the best approximate simulant to a certain extent. © Published under licence by IOP Publishing Ltd.