In this paper, a Pareto inversion based global optimization approach, to obtain results of joint inversion of two types of geophysical data sets, is formulated. 2D magnetotelluric and gravity data were used for tests, but presented solution is flexible enough to be used for combination of any kind of two or more target functions, as long as misfits can be calculated and forward problems solved. To minimize dimensionality of the solution, space and introduce straightforward regularization Sharp Boundary Interface (SBI) method was applied. As a main optimization engine, Particle Swarm Optimization (PSO) was used. Synthetic examples based on a real geological model were used to test proposed approach and show its usefulness in practical applications.
the global covID-19 pandemic has resulted in restrictions in most countries. one of them was to replace traditional education in schools with online learning. Such a change could provoke a build-up of negative feelings due to insecurity and loneliness. in addition, reducing daily physical activity and closing sports venues can have a detrimental effect on health. the article presents the results of the study of the impact of distance learning on the daily physical activity and condition of physical education teachers in Poland, as well as the subjective perception of physical and mental health in this professional group. google forms were used to collect the data. the research tool was a questionnaire. the analysis showed that distance learning had a significant negative impact on the physical and mental health of the study group. the impact of distance learning on physical and mental health is gender independent. Teachers more often negatively assessed their physical and mental health compared to the studies in previous years. Daily physical activity of the subjects decreased, and most of them increased their body weight. Less than 3% of the surveyed teachers during the blockade felt happy and full of life.
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