RESUMEN
The novel coronavirus disease, COVID-19, has rapidly spread worldwide. Developing methods to identify the therapeutic activity of drugs based on phenotypic data can improve the efficiency of drug development. Here, a state-of-the-art machine-learning method was used to identify drug mechanism of actions (MoAs) based on the cell image features of 1105 drugs in the LINCS database. As the multi-dimensional features of cell images are affected by non-experimental factors, the characteristics of similar drugs vary considerably, and it is difficult to effectively identify the MoA of drugs as there is substantial noise. By applying the supervised information theoretic metric-learning (ITML) algorithm, a linear transformation made drugs with the same MoA aggregate. By clustering drugs to communities and performing enrichment analysis, we found that transferred image features were more conducive to the recognition of drug MoAs. Image features analysis showed that different features play important roles in identifying different drug functions. Drugs that significantly affect cell survival or proliferation, such as cyclin-dependent kinase inhibitors, were more likely to be enriched in communities, whereas other drugs might be decentralized. Chloroquine and clomiphene, which block the entry of virus, were clustered into the same community, indicating that similar MoA could be reflected by the cell image. Overall, the findings of the present study laid the foundation for the discovery of MoAs of new drugs, based on image data. In addition, it provided a new method of drug repurposing for COVID-19. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11571-021-09727-5.
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The outbreak of COVID-19 added further stress to individuals' work life, and employability may be especially important to help individuals to pursue sustainable career success in such a context. However, previous studies that examined the impact and the mechanisms of employability on sustainable career success are lacking, especially in the context of pandemic threat. Based on conservation of resource theory (COR), the current study aims to explore whether and how employability, as an important resource, reduced work-related emotional exhaustion and increased work engagement during the COVID-19 pandemic. We expected that self-perceived employability would reduce emotional exhaustion and increase work engagement. We further expected that coping strategy mediated the effect of self-perceived employability on emotional exhaustion, and career commitment mediated its effect on work engagement. Data were collected via a national survey in China among a sample of 4990 human resource practitioners from October to December 2020 amid the COVID-19 outbreak. The proposed model was tested with structural equation modelling. Results supported the proposed model. Self-perceived employability reduced emotional exhaustion and to a larger extent, increases work engagement. The two mediating effects were of partial mediation. The implications of the results for theory and practice are discussed.
RESUMEN
Coronavirus disease 2019 (COVID-19) is a destructive affair for both workplace and community. However, with the strengthen of global anti-pandemic measures, COVID-19 becomes the norm and there is an increased trend for people to reflect on life or death. Moreover, regardless of its facilitating role in advancing organizational behavior (OB) study, very few studies empirically examine the effects of death reflection in the work domain. Drawing on the generativity theory, we identify how death reflection influences employees’ in-role and extra-role performance under the COVID-19 pandemic. A longitudinal study is performed by using multi-source data from 387 employees in China. Our results reveal that the COVID-19-triggered death reflection is associated with the stronger in-role performance and organizational citizenship behaviors. We find that duty orientation is the mechanism that can explain the effects of the COVID-19-triggered death reflection on employees’ work behaviors. Furthermore, employees who reflect on death with high (vs. low) career and calling orientations tend to have higher in-role and extra-role performance, while employees who reflect on death with low (vs. high) job orientation are likely to have lower in-role and extra-role performance.
RESUMEN
The new type of coronavirus pneumonia (COVID-19) is raging around the world, and the number of diagnoses and deaths continues to rise, and there is still no specific treatment drug. Chloroquine is a traditional medicine for the treatment of malaria and autoimmune diseases. It has shown initial efficacy in the treatment of COVID-19 and has attracted much attention. Hydroxychloroquine is a derivative of chloroquine, and its clinical drug safety is higher than that of chloroquine. It is listed by the World Health Organization as one of the 4 candidate trial drugs for the treatment of COVID-19 , Has also been included in the trial of the sixth and seventh editions of the COVID-19 treatment plan by the National Health Commission of China. However, the clinical efficacy of chloroquine and hydroxychloroquine in the treatment of COVID-19 is still very controversial, and sufficient Clinical data supports its use as a recommended drug for the treatment of COVID-19. In order to have a clearer understanding of chloroquine and hydroxychloroquine, this article briefly summarizes the pathological changes and treatment options of COVID-19, focusing on the efficacy of hydroxychloroquine in clinical trials and an in-depth analysis The potential causes and possible mechanisms of the different results of hydroxychloroquine in clinical trials, and the potential therapeutic effects of anisodamine and the antiviral drug remdesivir and psychological interventions are discussed, which are important for the rationalization of COVID-19 treatment options Reference value.