The pollution of water that is used for consumption and in agricultural holdings contributes to an increased mortality rate, inhibition of growth and physiological functions, changes in the DNA (genotoxicity), changes within tissues (cytotoxicity) and organs of individuals who are exposed to chemical components. One of the most dangerous toxin classes which have effect on animals and humans who come into contact with contaminated water is the class of cyanobacterial toxins released by dying cyanobacteria. They contribute to very serious health conditions and also to fatalities. Toxins of this type are relatively difficult to detect on account of their seasonal changeability in blooming. One of the most effective methods of detecting water contamination automatically and continuously is biomonitoring with the use of Dreissena polymorpha mussels.
The scope of the project covers the development of a method for assessment of risk related to machinery, based on the computer-aided virtual reality technique. The investigations started with the formulation of the matrix of correspondence between the hazards and functions performed by the VR using document-based inspection method based on documentation of the 3 machines. Further investigations have been conducted by Expert Inspection method using virtual models of 3 machines. It was proved that the immersive projection technology were highly usable in the assessment of risk involved by mechanical hazards and arriving at more accurate results necessary for machine assessment in view of ergonomic then the HDM techniques. In further research the usability of the developed method will be investigated using the User Testing method.
The paper presents δ13C and δ15N isotope content measurements in human bones from 16 graves, being part of the Yampil Barrow Complex. From the results, conclusions may be drawn about the diet of barrow builders and users. It was based on vegetable foodstuffs and characterised by a varied share of terrestrial animal meat, depending on the period. High δ13C values suggest a share of C4-type plants in the diet, possibly millet.