Comparing magnetic triggering of ELMs in TCV and ASDEX Upgrade

Frequency locking of edge localized modes (ELMs) to the vertical plasma movements induced by magnetic perturbations first demonstrated in TCV was successfully repeated in ASDEX Upgrade. However, the ELMs were triggered in ASDEX Upgrade when the plasma was moving down towards the X-point with a consequent decrease in the plasma current density in the edge region, in contrast to the previous observation on TCV in which ELMs were triggered when the edge current was increased by an upward plasma movement. This opposite behaviour observed in the magnetic triggering of ELMs has been investigated by using a free-boundary tokamak simulator, DINA-CH. The passive stabilization loops (PSLs) located inside the vacuum vessel of ASDEX Upgrade produce similar external linking flux changes to those generated by the G-coil sets in TCV for opposite vertical plasma movements. Therefore, both plasmas experience similar local flux surface expansions near the upper G-coil set and PSL when the ELMs are triggered. In ASDEX Upgrade, however, the localized expansion of the plasma flux surfaces near the upper PSL is observed with the global shrinkage of the plasma column accompanied by the downward plasma movement

A Bibliometric Analysis of the Health Field Regarding Social Networks and Young People

Social networks have historically been used to share information and support regarding health-related topics, and this usage has increased with the rise of online social media. Young people are high users of social media, both as passive listeners and as active contributors. This study aimed to map the trends in publications focused on social networks, health, and young people over the last 40 years. Scopus and the program VOSviewer were used to map the frequency of the publications, keywords, and clusters of researchers active in the field internationally. A structured keyword search using the Scopus database yielded 11,966 publications. The results reveal a long history of research on social networks, health, and young people. Research articles were the most common type of publication (68%), most of which described quantitative studies (82%). The main discipline represented in this literature was medicine, with 6062 documents. North American researchers dominate the field, both as authors and partners in international research collaborations. The present article adds to the literature by elucidating the growing importance of social networks in health research as a topic of study. This may help to inform future investments in public health research and surveillance using these novel data sources

Использование стохастических акторно-ориентированных моделей для анализа коэволюции сетей и поведения

Human behavior depends on many factors including the social environment. Over the past decades, scholars have actively developed models that evaluate the impact of the environment on the individual. This article describes stochastic actor-oriented modeling (SAOM) which allows to test hypotheses about the structural evolution of social networks, as well as to analyze the co-evolution of networks and behavior in detail. The authors present theoretical and methodological foundations of SAOM; specify requirements for research design and data collection; consider the specification of the model and an example of co-evolution of the network and academic achievement of students; point out limitations of the method, and suggest promising avenues for further research. The article concludes that using SAOM is preferable for small social networks with low rotation, in particular, for organizational units and study groups. The authors argue that the existing studies mainly consider the educational context and social networks of young people that does not allow to draw conclusions about the evolution of social ties in communities of a different type and other age groups. In addition, most of the research is based on data collected in Western democracies which indicates the need to investigate a variety of samples. Acknowledgments. The research was carried out within the HSE Program for Fundamental Research

How academic achievement spreads: The role of distinct social networks in academic performance diffusion

Behavior diffusion through social networks is a key social process. It may be guided by various factors such as network topology, type of propagated behavior, and the strength of network connections. In this paper, we claim that the type of social interactions is also an important ingredient of behavioral diffusion. We examine the spread of academic achievements of first-year undergraduate students through friendship and study assistance networks, applying stochastic actor-oriented modeling. We show that informal social connections transmit performance while instrumental connections do not. The results highlight the importance of friendship in educational environments and contribute to debates on the behavior spread in social networks

How academic achievement spreads: The role of distinct social networks in academic performance diffusion.

Behavior diffusion through social networks is a key social process. It may be guided by various factors such as network topology, type of propagated behavior, and the strength of network connections. In this paper, we claim that the type of social interactions is also an important ingredient of behavioral diffusion. We examine the spread of academic achievements of first-year undergraduate students through friendship and study assistance networks, applying stochastic actor-oriented modeling. We show that informal social connections transmit performance while instrumental connections do not. The results highlight the importance of friendship in educational environments and contribute to debates on the behavior spread in social networks