Research on Multi-Agent Simulation of Epidemic News Spread Characteristics

The spread of news about an epidemic can easily lead to a social panic. In order to devise measures to control such a panic, it is necessary to consider characteristics of the spread of epidemic news, based on mechanisms at the individual level. In this paper, first, some features of multi-agent simulation are reviewed. Then a multi-agent simulation model of epidemic news spread (ENS) is designed and realized. Based on simulation experiments and sensitivity analyses, the influence of social relationships, the degree of trust in news of the epidemic, the epidemic spread intensity and the network structure of the epidemic news spread are studied. The research results include: (1) As the number of social relationships increases, the rate of spread of epidemic news rapidly rises, and the ratio of people who have heard the news directly decreases. The result is that the \'radiation effect\' of the epidemic news spread will be enhanced when the number of social relationships increases. (2) With the increase of the degree of trust in the news, the rate of spread of the news will also rapidly increase, but variation in the ratio of the people who have heard the news directly is not significant. This means that the \'radiation effect\' of the spread of the news does not change much more in relation to the degree of trust in the epidemic news. (3) The ratio of the people who have heard the news directly increases when the infection range increases (i.e. the spread intensity of epidemic increases), and vice versa. But the variation of the speed of the epidemic news spread is not significant. (4) When the network structure is assumed to be a small world network, the spread speed will be slower than that in a random network with the same average vertex degree and the forgetting speed will be faster than that in a random network with the same average vertex degree.Multi-Agent Simulation, News Spread, Small World Network , Epidemic

Antidiabetic effect of hydro-methanol extract of Prunus cerasus L fruits and identification of its bioactive compounds

Purpose: To investigate the antidiabetic effect of hydro-methanol extract of Prunus cerasus fruit extract. Methods: The antidiabetic activity was assessed in alloxan-induced diabetic rats. The effect of P. cerasus fruit extract on plasma fasting blood glucose (FBG), insulin, C-peptide, total protein, glycosylated hemoglobin (HbA1c), total hemoglobin, reduced glutathione (GSH), vitamins E and C, ceruloplasmin, lipid profile, histology of the pancreas, and expression of glucose transporter type 4 (GLUT-4) were determined using standard procedures. Liquid chromatography-mass spectrometry was used for phytochemical analysis. Results: Alloxan-induced diabetes significantly reduced plasma levels of insulin, C-peptide, total hemoglobin and total protein, and significantly increased FBG and HbA1c levels (p < 0.05). However, after treatment with the extract, changes in the levels of these parameters were significantly and dosedependently reversed (p < 0.05). The extract also increased the levels of GSH, vitamins E and C, and. Alloxan-induced DM significantly increased the levels of triacylglycerols (TGs), low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C), and significantly reduced the level of total cholesterol (TC) at different time points (p < 0.05). However, after treatment, the levels of TG, LDL-C and HDL-C declined but TC level was significantly elevated time- and dose-dependently by the extract (p< 0.05). The extract upregulated the expression of GLUT-4 mRNA in soleus muscle and adipose tissue. LC-MS analysis revealed that the extract contained chlorogenic acid, rutin, diadzin, amygdalin, quercetin and naringenin. Conclusion: The results obtained in this study have shown that hydromethanol extract of P. cerasus fruits exhibits remarkable antidiabetic effects