ABSTRACT
Introduction: Cangzhu, an herbal medicine used to treat symptoms of respiratory pneumonia in traditional Chinese medical system, has shown its effectiveness in combating fever, cough, and fatigue of current pandemic while no specialty drugs are available. Latest research in network pharmacology has confirmed the theoretical mechanism behind, the drug itself is commonly prescribed alone side another herb Aiye, which believed to be able to improve the effectiveness of Cangzhu. In this study, network pharmacology will be applied in search of potential mechanism behind. Method: The Traditional Chinese Medicine Systems Pharmacology (TCMSP) is used to filter the active compounds and the target of the prescription compound. The Genecard and OMIM database are applied to identify the target related to our aim symptom fever, cough, and fatigue. The STRING database is used to analyse the intercepted targets. Compound-target interaction and protein-protein interaction networks are constructed using the Cytoscape between target disease Covid and our medicine mixture Cangzhu and Aiye. The Kyoto Encyclopaedia of Genes and Genome (KEGG) pathway and Gene Ontology (GO) enrichment analysis are performed for investigation of the molecular mechanisms. Finally, the interaction probability between the targets and the active compounds can be determined by molecular docking technology. Results: A total of 14 target are identified, in which are 10 most important targets and 2 key compounds. Besides, 216 biological processes items are obtained (P<0.05). Two hundred and seventy-one pathways are obtained (P<0.05). The result of molecular docking shows a stable binding between the active compounds and the target. Copyright © 2022 Textile Bioengineering and Informatics Society.
ABSTRACT
During the new coronavirus epidemic in 2020, the number of online learning platform users grew explosively, with secondary school students becoming the main group of online learning platform users. Especially the virtual clinical learning environment of online learning platform for secondary school students, as one of the main factors affecting users' sustained use, has become an important issue companies and researchers are faced with. This paper, taking secondary school student users as the research object, constructed a model of factors influencing users' intention to continuously use the online learning platform for secondary school students. The model, based on TAM model and ECM model, consisted of 10 variables, including TP-Teaching presence, resource quality, system quality, perceived usefulness, perceived ease of use, academic identity, self-efficacy, users' satisfaction, teacher-student relationship, and behavioral intention. Results of this study empirically showed that TP-Teaching presence had the most significant effect on perceived usefulness, which in turn indirectly influenced users' continuance intention of using the platform;secondary school student's self-efficacy has the most significant impact on users' continuous intention. Therefore, when developing the platform, enterprises should pay attention to the construction of the platform learning environment and enhance the self-efficacy of secondary school students.
ABSTRACT
Viral sensitivity to high temperature and ultraviolet (UV) irradiation has been extensively studied. However, there is still little attention paid to study the joint effect of these two physical factors. Since the outbreak of the COVID-19 pandemic has necessitated the advances of disinfection techniques, rapid and effective viral inactivation by combining heat and UV light is worth investigating. This work focuses on developing such a device combining UV light-emitting diode light sources and a heater. Moreover, two UV bands have been studied in this work, namely 280 nm ultraviolet-C (UVC) and 365 nm ultraviolet-A (UVA. A) control system is developed to accurately control both the heating temperature of the device and the irradiance of the dual-spectral UV light sources. The performance of the device is verified by a series of experimental measurements. More importantly, the disinfection effect of the device has been verified by the experiments based on non-pathogenic carrier virus commonly used in the laboratory. The disinfection doses of the 280 nm UVC and 365 nm UVA light sources under the high temperature synergy have been examined. The experimental results show that when combined with a heating temperature of 60 C-circle, the cumulative UV radiation doses required for sufficient viral inactivation can be greatly reduced.
ABSTRACT
Cangzhu is a Herbal medicine used to treat symptoms of respiratory diseases in Traditional Medicine system for hundreds of years and can be a new herbal solution for the current world pandemic. By using network pharmacology and molecular docking, this study explores the possible mechanisms of Cangzhu. One target is identified in the results. Further analysis identified 1 key target and 1 key compound. Moreover, 1052 biological processes, 61 cell compositions, and 124 molecular function items are obtained (P<0.05). One hundred and thirty pathways are obtained (P<0.05). The result of molecular docking shows a stable binding between the active compounds and the target. © 2019 Textile Bioengineering and Informatics Symposium Proceedings 2021 - 14th Textile Bioengineering and Informatics Symposium, TBIS 2021. All rights reserved.