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1.
Current Issues in Tourism ; : 1-18, 2022.
Article in English | Web of Science | ID: covidwho-2017375

ABSTRACT

This paper examines the interaction effects of social support (supervisor support and coworker support) and AI surveillance on employee job engagement drawing on the social exchange theory. Mixed research methods were applied. Researchers collected 358 valid time-lagged designed questionnaires and tested the model using a path analysis approach. The results revealed that there is a moderated mediation mechanism in relationships between supervisor support/coworker support and job engagement, in which both self-efficacy and self-esteem are mediating variables and AI surveillance plays a moderating role. Specifically, when the degree of job control with AI surveillance is at a low level, the effect of supervisor support/coworker support on employees' self-efficacy/self-esteem is stronger. The indirect relationship between supervisor support/coworker support and job engagement through self-esteem is moderated by job control with AI surveillance as well, and the indirect relationship becomes stronger when job control with AI surveillance is lower. Findings from a series of semi-structured post-hoc interviews with 18 hotel employees interpretatively support the survey results. This research fills this gap by analyzing relationships among social support, AI surveillance, and job engagement and provides positive suggestions for hotel operation and employee management with AI surveillance during pandemic.

2.
EMBO Mol Med ; 14(5): e14844, 2022 05 09.
Article in English | MEDLINE | ID: covidwho-1776709

ABSTRACT

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) can cause gastrointestinal (GI) symptoms that often correlate with the severity of COVID-19. Here, we explored the pathogenesis underlying the intestinal inflammation in COVID-19. Plasma VEGF level was particularly elevated in patients with GI symptoms and significantly correlated with intestinal edema and disease progression. Through an animal model mimicking intestinal inflammation upon stimulation with SARS-CoV-2 spike protein, we further revealed that VEGF was over-produced in the duodenum prior to its ascent in the circulation. Mechanistically, SARS-CoV-2 spike promoted VEGF production through activating the Ras-Raf-MEK-ERK signaling in enterocytes, but not in endothelium, and inducing permeability and inflammation. Blockage of the ERK/VEGF axis was able to rescue vascular permeability and alleviate intestinal inflammation in vivo. These findings provide a mechanistic explanation and therapeutic targets for the GI symptoms of COVID-19.


Subject(s)
COVID-19 , SARS-CoV-2 , Animals , Enterocytes/metabolism , Humans , Inflammation/metabolism , Spike Glycoprotein, Coronavirus , Vascular Endothelial Growth Factor A
3.
Southwest China Journal of Agricultural Sciences ; 33(12):2736-2744, 2020.
Article in Chinese | CAB Abstracts | ID: covidwho-1319884

ABSTRACT

(Objective) The aim of this paper was to explore the function of LEA3 gene and the molecular mechanism of drought resistance of Festuca Arundinacea, for which LEA3 gene from two Guizhou native F. Arundinacea cultivars (Qiancao 1 and Qiancao 2) were cloned and the bioinformatics of LEA3 genes and their expression under drought stress at seedling stage were analyzed as well. (Method) In this experiment, we cloned LEA3 genes of Qiancao 1 and Qiancao 2 by RT-PCR, referring to the sequences recorded by NCBI. At the same time, the amino acid sequence was analyzed by relevant software, and the expression of amino acid under drought stress was analyzed by real-time fluorescence quantitative PCR (qRT-PCR). (Result) In this study, we found that LEA3 genes in Qiancao 1 and Qiancao 2 consisted of open reading frame (ORF) of 609 by and 642 by respectively, which encoded proteins of 203 and 213 amino acids residues, respectively. Compared with Qiancao 2, the LEA3 protein of Qiancao 1 lacks the motif composed of 11 amino acids. At the same time, 11 amino acid differences were found between Qiancao I and Qiancao 2. Bioinformatics analysis showed that the molecular weight of Qiancao 1 LEA3 protein was 20.72 kDa, the isoelectric point was 8.55, and the grand average of hydropathicity (GRAVY) was -0.971. The LEA3 protein of Qiancao 2 has a molecular weight of 22 01 kDa, an isoelectric point of 8.99, and a GRAVY of - 1.069. The hydrophobicity analysis showed that both Qiancao 1 and Qiancao 2 LEA3 proteins had no transmembrane structure, and the hydrophilicity of Qiancao 2 LEA3 was stronger than that of Qiancao 1 LEA3. Alpha-helixes are dominant in Qiancao 1 and Qiancao 2 LEA3 proteins. LEA3 proteins of Qiancao 1 and Qiancao 2 have high homology with that of barley, goatgrass, wheatgrass and wheat. The phylogenetic tree showed that LEA3 proteins of Qiancao 1, Qiancao 2, wheat, ryegrass, barley, goatgrass, bromus inermis and wheatgeas were clustered into one group. The results of gRT-PCR analysis showed that the expression of Qiancao 1 LEA3 was higher than that of Qiancao 2 in the whole process of drought stress at seedling stage. Compared with mild stress, the response of LEA3 in Qiancao 1 and Qiancao 2 under severe stress was stronger. (Conclusion) It was found that the drought resistance of Qiancao 1 and Qiancao 2 was positively correlated with the expression of LEA3 gene. Under the same conditions of drought stress, the expression of Qiancao 1 LEA3 gene was higher than that of Qiancao 2. Therefore, it can be inferred that Qiancao 1 is more adaptable to arid environment than Qiancao 2.

4.
Int J Emerg Med ; 14(1): 33, 2021 May 31.
Article in English | MEDLINE | ID: covidwho-1247574

ABSTRACT

BACKGROUND: COVID-19 pandemic has resulted in significant strain on healthcare resources and this requires diligent resource re-allocation. We aim to describe the incidence and outcomes of in-hospital cardiac arrest (IHCA) during this period as compared to non-pandemic period. METHODS: We conducted a retrospective study in a tertiary care hospital in Singapore. The study compared the incidence and outcomes of code blue activations over a 3-month period from March to May 2020 (COVID-19 period) with the same months in 2019 (pre-COVID-19 period). The primary outcome of the study was the rate of survival to hospital discharge for IHCA. The secondary outcomes included incidence of all code blue activation per 1000 hospital admissions, incidence of IHCA per 1000 hospital admissions. OUTCOMES: The rate of survival to hospital discharge for IHCA was 5.88% in the COVID-19 period as compared to 10.0% in the pre-COVID-19 period [odds ratio (OR), 0.72; 95% confidence interval (CI), 0.26-1.95]. Compared to pre-COVID-19 period, there were more IHCA incidences per 1000 hospital admissions in the COVID-19 period (1.86 vs 1.03; OR, 1.81; 95% CI, 0.78-4.41). CONCLUSIONS: The study observed a trend towards higher incidence of IHCA and lower rate of survival to hospital discharge during COVID-19 pandemic compared to pre-COVID-19 period.

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