Zooplankton in the water column from the surface to bottom was studied. Copepods were the dominating organisms. Average zooplankton biomass was about 5 g in 1000 m3 . The highest zooplankton density occurred between 300 and 600 m. The influence of the Scotia Front on the horizontal and vertical distribution of zooplankton is discussed.
Psychodrama is a method of therapy and personal development which strongly engages – apart from the intellect – the body and emotions. It frequently makes use of symbols and metaphors based on a natural inclination to play, at the same time triggering spontaneity and creativity. Psychodrama was invented by Jacob Moreno in the early 20th century. For a long time, it has been subjected to various changes. Its development has brought about the adjustment of its tools to different needs and group situations. Today, psychodrama is widely applied in psychotherapy, personal development, business, as well as education. The presented study is aimed at showing the usefulness of psychodrama as a tool which enhances the understanding of disability by both people without disability (as it is understood by the non-disabled) and the disabled (as regards the understanding of their own limitations). An additional goal is presenting the general assumptions of psychodrama the benefits from using its techniques for the development of e.g. teachers, therapists, tutors and other people working with the intellectually disabled, post-graduate students of special pedagogy in the field of oligophrenopedagogy.
This paper presents an alternative approach to the sequential data classification, based on traditional machine learning algorithms (neural networks, principal component analysis, multivariate Gaussian anomaly detector) and finding the shortest path in a directed acyclic graph, using A* algorithm with a regression-based heuristic. Palm gestures were used as an example of the sequential data and a quadrocopter was the controlled object. The study includes creation of a conceptual model and practical construction of a system using the GPU to ensure the realtime operation. The results present the classification accuracy of chosen gestures and comparison of the computation time between the CPU- and GPU-based solutions.