Background As an ongoing worldwide health issue, Coronavirus disease 2019 (COVID–19) has been causing serious complications, including pneumonia, acute respiratory distress syndrome (ARDS), and multi-organ failure. However, there is no decisive treatment approach available for this disorder, which is primarily attributed to the large amount of inflammatory cytokine production. We aimed to identify the effects of Nano-curcumin on the modulation of inflammatory cytokines in COVID-19 patients. Method Forty COVID-19 patients and 40 healthy controls were recruited and evaluated for inflammatory cytokine expression and secretion. Subsequently, COVID-19 patients were divided into two groups: 20 patients receiving Nano-curcumin and 20 patients as the placebo group. The mRNA expression and cytokine secretion levels of IL-1β, IL-6, TNF-α and IL‐18 were assessed by Real‐time PCR and ELISA, respectively. Result Our primary results indicated that the mRNA expression and cytokine secretion of IL-1β, IL-6, TNF-α, and IL-18 were increased significantly in COVID-19 patients compared with healthy control group. After treatment with Nano-curcumin, a significant decrease in IL-6 expression and secretion in serum and in supernatant ( P = 0.0003, 0.0038, and 0.0001, respectively) and IL-1β gene expression and secretion level in serum and supernatant ( P = 0.0017, 0.0082, and 0.0041, respectively) was observed. However, IL-18 mRNA expression and TNF-α concentration were not influenced by Nano-curcumin. Conclusion Nano-curcumin, as an anti-inflammatory herbal based agent, may be able to modulate the increased rate of inflammatory cytokines especially IL-1β and IL-6 mRNA expression and cytokine secretion in COVID-19 patients, which may cause an improvement in clinical manifestation and overall recovery.

A broad range of potential chemical compositions makes difficult design of novel bulk metallic glasses (BMGs) without performing expensive experimentations. To overcome this problem, it is very important to establish predictive models based on artificial intelligence. In this work, a machine learning (ML) approach was proposed for predicting glass formation in numerous alloying compositions and designing novel glassy alloys. The results showed that our ML model accurately predicted the glass formation and critical thickness of MGs. As a case study, the ternary Fe-B-Co system was selected and effects of minor additions of Cr, Nb and Y with different atomic percentages were evaluated. It was found that the minor addition of Nb and Y leads to the significant improvement of glass-forming ability (GFA) in the Fe-B-Co system; however, a shift in the optimized alloying composition was occurred. The experimental results on selective alloying compositions also confirmed the capability of our ML model for designing novel Fe-based BMGs.

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Purpose This paper aims to establish a more accurate model for lifetime estimation. Design/methodology/approach Finite element model simulation and experimental tests are used to enhance the lifetime prediction model of the solder joint. Findings A more precise model was found. Originality/value It is confirmed that the paper is original.

A new platform has been developed for environmentally friendly C–C cross-coupling reactions via filtration of reactants through a portable Pd(II)-salen complex-embedded filter paper.

Background The study aims to consider the prospect possibilities of gamification in historical education and its influence on the development of key professional competencies of workers necessary in current condition of humanitarian sphere development. Methods An experimental study theoretically substantiates the prospects for the gamification of education on the example of history education, in which 40 students from the Рeoples’ Friendship University of Russia and Sechenov First Moscow State Medical University took part. A pedagogical model of gamified history study has been developed and implemented into a 3-month online learning course “Technology for constructing historical interpretations.” The following technological tools were used to support the implementation of gamified learning: the Academy Learning Management System (LMS), the Facebook social network, social media information resources, augmented and virtual reality technologies. A survey was conducted on the Academy LMS platform, in which students were asked to assess the promising opportunities for the impact of gamified learning on the development of key professional competencies in terms of the degree of influence. Results The research results confirmed that the creation of a joint creative and expanded gaming experience leads to the acquisition of practical knowledge and allows learners to acquire skills that are highly relevant for professionals of the 21st century. The students confirmed that educational progress was achieved due to the effective organization of their learning activities, group changeover at the stages of developing historical interpretations, and gamification, which caused a feeling of excitement and qualitatively influenced the desire to achieve the best educational results. Gamified learning allowed educators to keep students' interest in the subject of study. Conclusions According to the results of a survey of students at the end of the course, it was concluded that gamification in history education has a positive effect on the evolutionary development of a personality adaptive to the socio-economic conditions of the 21st century. A model of the evolutionary vertical and horizontal development of the personality has been described.