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Occupational safety is generally known to be low in forestry work. A similar situation may be found in Southeast Asian countries, where health and safety aspects are not commonly taken care of so rigorously. However, there is also a lack of primary data which could be suitable for evaluating such issues. The auditing reports of FCS certification are a source of useful information to evaluate and analyze health and safety concerns in forestry work. This paper addressed the coverage of available information, classified the risk factors uniformly from different certifying body criteria, compared occurrence of risk factors in groups and checked for dependencies in data. The key findings are that the main issues were those related to the organizations' failures to protect the workers and to the lack of awareness of safety. In turn, these may explain the high incidence of forestry-related work accidents in Southeast Asia. [ABSTRACT FROM AUTHOR]

One of the praxeological problems of safe and sustainable air transport (airfreight transport/air cargo, and air passenger transport) is the prevention and management of risks by competent staff, with the support of modern information and communication technologies. This paper presents an educational information model and software for the airport network and information systems risk assessment, primarily intended for aviation education and training of professionals for ensuring safe and sustainable air transport. The solution to the problem is based on the application of the fuzzy logic method in the air transport environment. Based on a fuzzy expert model, the selected scenario, and the input data established separately for airport assets by a group of 23 experts from aviation practice and a university, the following three assessments of airport network information system assets were constructed: Asset A2 (meteorological information systems) has an insignificant risk with an estimated 0.1162, and assets A1 (air traffic control and management (ATM), navigational aids and approach) and A3 (runway monitoring system) received a low risk of airport network and information systems (NIS) security with ratings of 0.2623 and 0.2915, respectively. An airport NIS risk assessment was aggregated (0.2288), indicating a low degree of security risk to the airport's network and information systems. The aggregated risk assessment of airport NIS, including financial loss data, was calculated as 0.1438, representing a low degree of security risk to the airport's network and information systems. Scenarios for evaluating airport assets are changing for students during education. The results of the developed model and its software will be part of the Simulation Center of the Faculty of Aeronautics. [ABSTRACT FROM AUTHOR]