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This paper aims to study the possibility of controlling the electromagnetic stirrer (EMS) is fundamental in a continuous casting line to achieve the desired properties of homogeneity and mechanical strength in the solidified cast.

Coupled electromagnetic (EM) and fluid dynamic (FD) simulations allow to predict the mixing effect on molten metal, in terms of velocity amplitude and shape of the flow. This paper describes the numerical results of EMS effect within a cylindrical crucible, surrounded by a solenoidal inductor, filled with a low melting temperature alloy, i.e. GalInStan.

Induced forces and resulting velocity distribution of the flow of the liquid metal have been calculated depending on varying amplitude and frequency of the supplied current. As expected, at a given amplitude of the current supply, the velocity distribution shows a maximum at a certain frequency while the intensity of electrodynamic forces monotonically increase as the frequency increases

The paper deals with simply models and experiments applied to coupled EM and FD problem, to assess the applied methodology.

First, this study aimed to investigate the association of time perspective (TP) profiles with work engagement and workaholism. Second, it tested TP profiles as the moderator of perfectionism with work engagement and workaholism relationship.

The sample of this study comprised 148 Japanese employees, and snowball sampling was used for data collection. The authors found the TP profiles in the first step using cluster analysis with five TP dimensions. Next, the authors tested workaholism and work engagement in three clusters. The two dimensions of perfectionistic strivings and perfectionistic concerns were extracted through the exploratory factor analysis of Sakurai and Ohtani's (1997) perfectionism measure. Further, their relationship with workaholism and work engagement was tested in the TP profiles using multiple group analysis in structural equation modeling (SEM).

Three TP profiles were found, which the authors named: Future (F), Hedonistic and Balanced. There was a significant difference between the three groups. Notably, working compulsively was significantly higher in the Future cluster in the three clusters. The moderator analysis results indicated that perfectionistic concerns positively affected workaholism in the Future cluster but not for the Balanced cluster.

To the best of authors’ knowledge, this is the first study to investigate the relationship between perspective profiles, workaholism and work engagement. The relationship between these factors can be a stepping stone for further research.

Earlier authors suggested that a combination of different factors leads to the development of work addiction, hereby indicating that no single perspective is enough to fully understand this phenomenon. Hence, the aim of this study was to examine the moderating role of perceived work addiction of managers in the relationship between employees' perfectionism and work addiction.

The present cross-sectional study was conducted on a convenience sample of 964 workers from different organizations in Lithuania. Data were collected by means of online self-administered questionnaires. To test the moderating effect, a covariance-based structural equation modeling (CB-SEM) path analysis was performed.

At the level of bivariate correlations, both self-oriented and socially prescribed perfectionism showed positive links with employees' work addiction. However, in structural equation models only self-oriented perfectionism was related to higher levels of work addiction. Further, although the results of the study did not confirm the assumption about the moderating effect of perceived work addiction of managers on the relationship between employees' self-oriented perfectionism and work addiction, the results showed that a positive relationship between employees' socially prescribed perfectionism and work addiction was strongest when a manager was perceived to be highly addicted to work.

The study enriched understanding of the roots of work addiction by employing trait activation theory (Tett and Burnett, 2003) and explaining how both dispositional and contextual factors interacted in predicting this phenomenon.