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In this paper, an asymmetric breakup of non-Newtonian droplet (with power law behavior) in a new geometry (network junction) has been investigated. The geometry can break an initial droplet into six unequal size droplets. The research method is numerical simulation with Volume of Fluid (VOF) algorithm. The numerical results are compared with the results of a benchmark problem and a very good agreement is seen. The results showed that in areas close to the wall, mixing of materials of inside droplet is performed better, which is important in industrial applications of droplet based flows, especially in pharmaceutical and chemical industries. The results showed that the maximum vorticity magnitude in the K1 branch (the lowest output branch in the system) is 26, 44 and 28 % more than the maximum vorticity magnitude of the branches of K2, K3 and K4 (K4 is the highest output branch is in system). Also, maximum effective viscosity in the K1 branch is 27, 29 and 24 % less than the maximum effective viscosity in the K2, K3 and K4 branches, respectively. Therefore, K1 branch has the best performance in mixing of the material of inside droplet among the output branches. It was also revealed that the pressure of inside of droplet (both before and after breakup) is constant along the channel width [ABSTRACT FROM AUTHOR]

Background and Aim: The substantial changes in the COVID-19 epidemic around the world and its impact have repeatedly changed the management, diagnostic, and even treatment protocols. The meaning of changing the concept of triage is adjusting the process of ordinary hospital triage to a gray and two-layer triage. In this study, the field evaluation of the strengths and weaknesses of the management and triage of COVID-19 patients and the design of a biological triage model in a selected military hospital has been conducted. Methods: This research was a descriptive study in terms of its purpose and method; it is a qualitative study. The Delphi method was used. The studied community, specialists, and elites related to the treatment of COVID-19 included emergency, infectious, internal medicine, lung, and anesthesia specialists, as well as experts and senior hospital managers in the scientific committee of the university. Sampling was done using a targeted and available method. Focused group discussions, expert panels, and qualitative interviews people used to obtain were optional. Delphi results were analyzed in three rounds with content analysis to identify the main topics and use collective agreement indicators. Results: By holding a panel of experts, the results of research findings in qualitative panels were presented in three categories. First, the weaknesses and strengths of the existing and notified protocols of the Ministry of Health were identified. Then, the experts in the scientific committee of Corona presented the implementation solutions to improve and enhance the treatment protocol in the hospital. Finally, the implementation algorithm agreed upon by most experts was presented. The maximum isolation of patients from the beginning of entering the gray triage unit, the use of the maximum emergency capacity in a pandemic, and the use of home care methods to accelerate the discharge process of recovered patients were among the most important features of the proposed algorithm. Conclusion: Proper and continued training based on the latest findings, complete isolation of the triage area until hospitalization of COVID-19 patients, use of resistant structures, development of support beds in the emergency room, and conducting preparation maneuvers in biological pandemics based on an algorithm are of particular importance. [ABSTRACT FROM AUTHOR]

Background and Objectives Corona is caused by a viral infection called acute respiratory syndrome corona virus 2 which spreads rapidly, causing irreparable damage and death. In order to predict and develop treatment algorithms, the study of biomarkers is important in determining the severity of the disease. Therefore, we investigated the correlation of Interleukin 6 IL-6, Lactate dehydrogenase LDH, C reactive protein CRP and disease severity in COVID-19 patients. Materials and Methods In this descriptive and analytical cross-sectional study, the information of 365 coronavirus hospitalized patients randomly selected in Sina Hamadan hospital during 2019 was entered into SPSS 26. The severity of the disease was also measured according to the defined reference and clinical symptoms and classified into two levels. The data were analyzed with gamma correlation instability test, Somers' D at significance level of p value <0.05. Results It was found that IL-6 with a correlation coefficient of 0.506, LDH with a correlation coefficient of 0.291 and CRP with a correlation coefficient of 0.23, all at the level of 0.01 (p value = 0.01), have a positive effect on the severity of Corona disease and the amount of this positive effect is based on Somers' effect coefficient d 0.839, 0.458 and 0.358, respectively. Conclusions Patients with severe COVID-19 have significantly higher serum levels of CRP, LDH and IL-6. Baseline levels of IL-6, CRP, and LDH were closely related to the severity of COVID-19 disease. These laboratory markers can be used as clinical indicators of disease exacerbation and prognosis of COVID-19. [ABSTRACT FROM AUTHOR]

Background and Objectives Change in the age structure of the population affects many activities and processes, and most countries are expected to enter the old population phase by 2050. Today, for various reasons, the consumption of blood and blood products has increased. The aim of this study was to investigate the age change in donor population during the years 1390 to 1397 and compare it with the society's age change algorithm to determine if the latter affects the former. Materials and Methods In this cross-sectional descriptive study, demographic information of 329631 blood donors from 1390 to 1397 from Blood Transfusion Software (Negareh software version 5/9) was extracted and the latest demographic information of the province was achieved using the website of the Statistics Center of Iran. Results Of the population of Yazd and Ardakan cities, 64.7% and 65.38% are within the appropriate age range for blood donation. The donor population of 18-30 years decreased by 30.7% in 2016 and 32.3% in 2018 compared with the year 2011 while other age groups almost increased. Mean age of donors in 2014 and 2017 were 44.2 and 40.05 years, respectively. Conclusions Due to the aging population, and the reduction of the population under the age of 30, it is necessary to take effective programs to maintain and attract 18-30 year old population for blood donation. [ABSTRACT FROM AUTHOR]