rasool alizadeh

Assessing the risk of transmitting the corona virus is important for protecting public health under the COVID-19 epidemic. Public transportation such as bus and metro wagon, are the most important source of COVID 19 dispersion. In the last decade, numerical simulation plays important roles in predicting. In this case study, by a combination of numerical simulation and artificial intelligence, tries to predict the droplet of sneezing process. Metro wagon as a case study was considered and dispersion of droplet along the bus was studied. The result indicated that the small diameter can easily transport along the wagon. It’s also shows that the large area under affected to particle deposition. In this case study, combination of numerical simulation and artificial intelligent has a great result.

Nowadays, the level of individual access to social capital and the status of the individual within various social networks define how much s/he enjoys the quality of ideal life. Accordingly, this study tries to examine the relationship between social capital and quality of life among retirees. Primarily, such a relationship was studied in a survey-type research. Therefore, Lipad Elderly Quality of Life Questionnaire was used for this descriptive-analytical research. A number of 228 retirees of the University of Tabriz were selected as samples through random sampling method. Data analysis was made using SPSS statistical software in addition to the application of Pearson correlation test and linear regression. The research findings showed a significant positive relationship between social capital and the quality of life among the retirees. In the men time, the regression analysis demonstrated that the dimensions of social capital, i.e. social cohesion, social participation and social trust, could explain 32% of the variance in the quality of life (dependent variable). Consequently, social capital and its components are good predictors for the quality of life among University of Tabriz retirees