The Impact of the Activity of Industrial Engineering Researchers in Various Scientific-Citation Networks on Improving their Scientific Authority Status

This study analyzes the link between Mendeley indexes of scientific-citation networks and Scopus, taking into account the beneficial influence of researchers' actions in social networks on scientometric indices of works indexed in databases like Google scholar and WoS. In this basic/descriptive study, we use the Altmetrics approach to describe Iranian researchers’ activities in industrial engineering in scientific-citation networks. In this study, researchers whose activities are recorded with Iranian affiliation in scientific-citation networks have been briefly named Iranian researchers. The corpus of the study included the works of 160 Iranian researchers in the field of industrial engineering, indexed in the Scopus in the period 2000-2019. To test the likely correlation between the measures of social networks (SN) activities with scientometric ones, simple and multiple correlation tests were carried out by Excel and SPSS software. The correlation between the number of times a document was read, the number of citations, and the measures in the Mendeley, Scopus, We of Science (WoS), and Google Scholar (GS) was very high. However, the correlation between the number of readers in the Mendeley and co-authorship in Scopus was low. There was a strong correlation between the number of citations in Mendeley and that in other databases. The correlation between the authors' H-index in the Mendeley database and other databases is positive and significant, stronger in Scopus and WoS than Google Scholar. It was finally concluded that researchers’ activities in social networks attract more readers, increase the number of citations and thus increase the H-index score in databases. Therefore, they need to be more active in social networks to increase their H-index score and promote academic publications.https://dorl.net/dor/ 20.1001.1.20088302.2022.20.1.14.

Human platelet metabolic network reconstruction

In the past, metabolic network reconstruction has been used extensively for the analysis and discoveries in microorganisms such as E.Coli. furthermore, after the completion of human genome sequencing and building of the first human metabolic network reconstruction (Recon 1) in 2007, there has been a growing interest in reconstruction of tissue-specific metabolic networks based on the human metabolic network reconstruction. This work is an attempt to reconstruct human platelet's metabolic network based on the Recon 1. The advancements in proteomics techniques have provided us with a wealth of high throughput dataset on human platelets. These datasets were carefully reviewed and annotated in order to obtain a solid and comprehensive proteomic profile of human platelet. Then the metabolic functionality and capabilities of human platelet were identified in the literature. After applying some modifications and refinements to the Recon 1 to accommodate these metabolic capabilities, an algorithmic approach was used to tailor the platelet specific conditions to the Recon1. Once the in silico model of human platelet was created, its network properties and models functionalities were characterized using constraint based analysis such as flux balance analysis and flux variability analysis. The model's solution space was further investigated using a sampling method and coset analysis. Finally the effect of aspirin on platelet was simulated and analyzed using the tools mentione

The Impact of Bread-Related Riots on the Relation between People and the Government in the Naserid Era

Economic crises that intensified gradually in the Naserid era had consequences like starvation and high price of bread. In most cases, high prices and bread starvation in urban societies led to bread-related riots and mass protests against the government. The discredit on the economy and the government was the result of these riots and made the government concerned and fearful. The Qajar government whose relation with people was based on traditional pattern of Shah and subjects suppressed these disturbances. In this pattern, there was no opportunity for the mass protests against the government. Violent riots often made the government back out against the demands of people. Repeated bread-related riots affected the above said relation, though they didn’t lead to transformation of this traditional relation .The goal of this descriptive analytic research is to assess the effect of bread-related riots on the relations between people and the government in Naserid era so as to clarify some signs of these effect

Prediction of Neonates' Macrosomia with Maternal Lipid Profile of Healthy Mothers

The aim of this study is to identify the association between the lipid profile of healthy nondiabetic, nonobese pregnant women in the first weeks of the third trimester of pregnancy and macrosomia or large-for-gestational-age (LGA) neonates with normal pregnancies. Materials and methods: In this cohort study, 200 pregnant healthy women without gestational diabetes mellitus (GDM), obesity, or hypertension and carrying a single fetus in a prenatal clinic of a referral hospital were included based on a convenience sampling. Then, we took a blood sample to assess fasting blood sugar (FBS), triglyceride (TG), total cholesterol, low-density lipoprotein (LDL), and high-density lipoprotein (HDL). GDM was assessed after administering 50 g of oral glucose. All cases were followed until the end of pregnancy. The main outcome measurement was neonatal birth weight. Results: Only 154 mothers met eligibility criteria. There were eight cases (5.2%) with macrosomia (birth weight ≥ 4000 g) and 35 cases (22.7%) with LGA. Linear regression showed that mothers’ TG and neonates’ gender were independent predictors of the birth weight of the children (R-square = 0.52, p < 0.001). Logistic regression analysis showed that maternal FBS and TG are the most independent variables which can predict the presence of macrosomia (Nagelkerke R-square = 0.53, p < 0.001) and maternal TG and child gender are the most independent variables that can predict the presence of LGA in neonates of a healthy mother (Nagelkerke R-square = 0.49, p < 0.001). Conclusion: Maternal triglyceride levels may be a significant predictor of fetal size in late pregnancy but not in early pregnancy. Our study reinforces that this is true not only in the case of macrosomia (birth weight > 4500 g), but also for LGA