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Drawing on self-determination theory (SDT) (Deci & Ryan, 2000, 2008a, 2008b, 1985;Ryan & Deci, 2000, 2017, 2019;Ryan et al., 2019, 2021) and conservation of resources (COR) theory (Hobfoll, 1989, 2004, 2011), this study constructed an mindfulness-employee involvement (M-EI) model to explore the mechanism of enhancing psychological safety (Edmondson, 1999;Edmondson & Lei, 2014;Dekker & Edmondson, 2022) by leveraging mindfulness (Baer et al., 2006;Hou et al., 2014;Kudesia, 2019) and employee involvement practices (Lawler, 1994;Riordan et al., 2005;Wood, 2020). Specifically, the study explored whether an organization or individuals are responsible for making people feel safe, as well as how COVID-19 lockdown practices could impact the above-mentioned mechanism. A quantitative survey was conducted and analysed via structural equation modelling. The regression results supported both a positive, direct correlation between mindfulness and psychological safety and an indirect correlation via employee involvement moderated (i.e., made less positive) by COVID-19 lockdown practices. Considering the uniqueness of Chinese culture, the Five Facet Mindfulness Questionnaire (FFMQ) 18 with a better model fit was constructed as the measurement for mindfulness. It is important to leverage both intrinsic and extrinsic factors to enhance psychological safety levels, allowing better mental health, accumulated intrinsic motivation, and greater autonomy at work for sustainable growth. © 2023 The Author.
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Objective To explore the potential regulatory mechanism of Xuebijing injection in the treatment of COVID-19 by using network pharmacology and molecular docking methods. Methods Corresponding target genes of all the active ingredients of Xuebijing injection were obtained by using the pharmacological database and analysis platform of TCM System (TCMSP). And intersections with the COVID-19 gene-related targets in GeneCards database, OMIM database, PharmGkb database, TTD database and DrugBank database using the R programming language. Thus, the core target of Xubijing injection in COVID-19 treatment was obtained;Cytoscape 3.7.2 software was used to construct TCM - compound - target network;PPI network of intersection target was obtained by STRING;Utilized data packets to perform gene ontology (GO) functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis to predict the mechanism of overlapping targets. Finally, molecular docking technology was implemented to dock key active ingredients with PPI core protein. Results GO functional enrichment analysis included 1 818 biological processes (BP), 20 cellular components (CC) and 89 molecular functions (MF). The first 30 KEGG related pathways involved inflammation and immune response, such as rheumatoid arthritis signaling pathway, IL-17 signaling pathway, Th17 cell differentiation pathway, hypoxia-inducible factor (HIF-1) signaling pathway, JAK-Stat signaling pathway, inflammatory bowel disease signaling pathway, NF-κB signaling pathway, etc. Quercetin, cryptotanshinone, luteolin, β -carotene can affect IL1B, STAT3, AKT1, VEGFA and other overlapping targets. Meanwhile, quercetin may exert anti-inflammatory, antiviral and immune responses through IL1B binding to treat COVID-19. Conclusion This study reveals that chemical components in Xuebijing injection are involved in multiple biological processes and pathways in COVID-19 treatment through binding to key target proteins. © 2022. China Tropical Medicine. All rights reserved.
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2019 novel coronaviruses (2019-nCoV) swept the world and are still at a high incidence stage. Highly sensitive and accurate nucleic acid molecular diagnostic techniques and methods have become a hot spot of global concern. 2019-nCoV is a kind of RNA virus. At present. there are many methods to detect virus RNA, including real-time fluorescence quantitative PCR (RT-PCR), colloidal gold detection. chemiluminescence detection, and so on. Colloidal gold detection and chemiluminescence detection need to use monoclonal antibodies against 2019-nCoV, but there are some problems in the preparation of 2019-nCoV monoclonal antibodies, such as long cycle, complex preparation and easy pollution. So the above two methods are not easy to be established for the detection of 2019-nCoV. The superiority of PCR technology is widely used in auxiliary medical clinical diagnosis, customs inspection and quarantine, the development of new agriculture, national defense military defense, and basic research of bioscience, and so on. However, the quantification of the target DNA fragment in RT-PCR is still relatively quantitative. Because this technique mainly depends on CT value and standard curve to quantify the target DNA in the experiment which affects the amplification efficiency of the whole system, and the sensitivity and accuracy of the reaction system are greatly affected. Because the 2019-nCoV virus is highly contagious, the detection methodology is required to be highly sensitive, which is in line with the characteristics of digital PCR (droplet digital PCR system, referred to as ddPCR). ddPCR has the advantages of absolute quantification, high specificity, high sensitivity and strong interference ability, which can better combine molecular biology and medicine closely, and has a great advantage in the detection of 2019-nCoV. In this study, based on droplet digital PCR detection technology. the detection reagent and method were established using the principle of nested PCR. The Saliva of 333 2019-nCoV patients and their environmental samples were detected and compared with real-time PCR (RT-PCR). The linear range of the droplet digital PCR method established in this study was between 25-5 copies/A, and minimum detection limit was 0.5 copies/A. which was 2-3 orders of magnitude higher than that of the commercial real-time fluorescent quantitative PCR detection technology. In 333 samples, 7 were positive in 197 environmental samples, and 9 were positive in 136 human samples. The detection accuracy was 100%, and the environmental micro-virus residues that could not be detected by RT-PCR were detected. The digital PCR detection method established in this study was highly specific, and the minimum detection limit was far lower than that of RT-PCR. It is of great significance for sensitive and accurate detection of 2019-nCoV infection. early infection and environmental microvirus.
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The present paper explores the impact of trade policy uncertainty (TPU) on agricultural commodity prices (ACP) by employing bootstrap full- and subsample rolling-window Granger causality tests. We find that TPU has both positive and negative effects on ACP, suggesting that TPU may change the supply of and demand for agricultural commodities, leading to fluctuations in ACP. These results support the hypotheses derived from the general equilibrium model, which highlights that TPU can significantly affect ACP. In turn, we find a positive impact of ACP on TPU, indicating that the agricultural commodity market reflects trade conditions in advance. In the context of Sino-U.S. trade frictions and the COVID-19 pandemic, the interaction between TPU and ACP can provide insights for governments to prevent large fluctuations in agricultural commodity markets and stabilize the national economy. © 2021 Elsevier B.V.