Suspended sediment load prediction using non-dominated sorting genetic algorithm II

Awareness of suspended sediment load (SSL) and its continuous monitoring plays an important role in soil erosion studies and watershed management. Despite the common use of the conventional model of the sediment rating curve (SRC) and the methods proposed to correct it, the results of this model are still not sufficiently accurate. In this study, in order to increase the efficiency of SRC model, a multi-objective optimization approach is proposed using the Non-dominated Sorting Genetic Algorithm II (NSGA-II) algorithm. The instantaneous flow discharge and SSL data from the Ramian hydrometric station on the Ghorichay River, Iran are used as a case study. In the first part of the study, using self-organizing map (SOM), an unsupervised artificial neural network, the data were clustered and classified as two homogeneous groups as 70% and 30% for use in calibration and evaluation of SRC models, respectively. In the second part of the study, two different groups of SRC model comprised of conventional SRC models and optimized models (single and multi-objective optimization algorithms) were extracted from calibration data set and their performance was evaluated. The comparative analysis of the results revealed that the optimal SRC model achieved through NSGA-II algorithm was superior to the SRC models in the daily SSL estimation for the data used in this study. Given that the use of the SRC model is common, the proposed model in this study can increase the efficiency of this regression model. Keywords: Clustering, Neural network, Non-dominated sorting genetic algorithm II (NSGA-II), Sediment rating curve, Self-organizing ma

Epigenetic Modification Factors and microRNAs Network Associated with Differentiation of Embryonic Stem Cells and Induced Pluripotent Stem Cells toward Cardiomyocytes: A Review

More research is being conducted on myocardial cell treatments utilizing stem cell lines that can develop into cardiomyocytes. All of the forms of cardiac illnesses have shown to be quite amenable to treatments using embryonic (ESCs) and induced pluripotent stem cells (iPSCs). In the present study, we reviewed the differentiation of these cell types into cardiomyocytes from an epigenetic standpoint. We also provided a miRNA network that is devoted to the epigenetic commitment of stem cells toward cardiomyocyte cells and related diseases, such as congenital heart defects, comprehensively. Histone acetylation, methylation, DNA alterations, N6-methyladenosine (m6a) RNA methylation, and cardiac mitochondrial mutations are explored as potential tools for precise stem cell differentiation

The effect of soy isoflavones on non-alcoholic fatty liver disease and the level of fibroblast growth factor-21 and fetuin A

Abstract A two-arm randomized open labeled controlled clinical trial was conducted on 50 patients with non-alcoholic fatty liver disease (NAFLD). Subjects were randomized to either receive two tablets of soy isoflavone (100 mg/day) or placebo. At week 12, the serum levels of alanine amino transferase (ALT), aspartate amino transferase (AST) and controlled attenuation parameter (CAP) score were significantly decreased only in the soy isoflavone group (P < 0.05). A significant decline in the gamma glutamyl transferase (GGT) level was observed only in the placebo group (P = 0.017). A significant increase in the serum level of fetuin A was shown in both groups at the end of the trial with a significantly greater increment in the soy isoflavone group compared to the placebo group (P < 0.05). The changes in the serum level of FGF-21 were not significant in any of the two groups. Steatosis grade significantly improved only in the soy isoflavone group (P = 0.045). There was no significant change in the fibrosis grade in the groups. Soy isoflavone intake led to a decrease in ALT, AST, CAP score, steatosis grade and an increase in the level of fetuin A. However, no significant changes were observed in the fibrosis grade and serum levels of GGT and FGF-21

Dietary protein intake and mortality among survivors of liver cirrhosis: a prospective cohort study

Abstract Background Liver cirrhosis is a worldwide burden and is associated with poor clinical outcomes, including increased mortality. The beneficial effects of dietary modifications in reducing morbidity and mortality are inevitable. Aim The current study aimed to evaluate the potential association of dietary protein intake with the cirrhosis-related mortality. Methods In this cohort study, 121 ambulatory cirrhotic patients with at least 6 months of cirrhosis diagnosis were followed-up for 48 months. A 168-item validated food frequency questionnaire was used for dietary intake assessment. Total dietary protein was classified as dairy, vegetable and animal protein. We estimated crude and multivariable-adjusted hazard ratios (HRs) with 95% confidence intervals (CIs), applying Cox proportional hazard analyses. Results After full adjustment for confounders, analyses showed that total (HR = 0.38, 95% CI = 0.2–1.1, p trend = 0.045) and dairy (HR = 0.38, 95% CI = 0.13–1.1, p trend = 0.046) protein intake was associated with a 62% lower risk of cirrhosis-related mortality. While a higher intake of animal protein was associated with a 3.8-fold increase in the risk of mortality in patients (HR = 3.8, 95% CI = 1.7–8.2, p trend = 0.035). Higher intake of vegetable protein was inversely but not significantly associated with mortality risk. Conclusion A comprehensive evaluation of the associations of dietary protein intake with cirrhosis-related mortality indicated that a higher intakes of total and dairy protein and a lower intakes of animal protein are associated with a reduced risk of mortality in cirrhotic patients