Due to the growing number, diversity and spreading of magnetic field sources, an increasing need to determine the field levels of human exposure has arisen. Some of the most encountered sources are the overhead power lines (OPL) and the determination of spatial and temporal variation of the magnetic fields produced by OPLs is a challenge. In this paper a hybrid method for the estimation of the temporal and spatial distribution of the magnetic flux density B caused by OPLs, based on experimental measurements and on numerical and analytical simulations, is presented. Thus, using a small number of simultaneous spot measurements correlated with a long-term survey, maps of the magnetic flux density distribution on extended areas are established, for several time instances. The proposed method is verified using two sets of different measurements and the results obtained through simulation. The difference between the estimated and simulated values of B is under 5.5%, which is considered acceptable considering that B spans over a large set of values (724 nT ÷ 1375 nT) in the location of the long-term survey procedure. The possibilities and limitations of the proposed method are discussed.

Being a highly communicative instance of translation interpreting requires a communicative/functional/context sensitive approach. Thus, the interpreting student should be made aware that interpreting is a commissioned task whose legitimate skopos/purpose is to make communication possible. The meaning to be rendered i.e. the optimal translation is seen as a function of the communication situation, to be found beyond words, in a “deverbalized” state. Interpreting students should be trained to assume that interpreting presupposes some infidelity or manipulation and that one important interpreting job requirement is that of training speakers to take some responsibility for the interpreting performance

The topic “Modeling and Simulation in Engineering”, proposed in 2021 as part of the section “Engineering Mathematics”, and later as part of “Control Theory and Mechanics”, covers a large array of technical fields, thus arousing much interest among researchers

The continuing achievements in Information Technology and Computer science in recent decades provide new tools for engineers in the design of devices and systems, with significant advances both in numerical and in analytical methods of analysis