The aim of the paper is to identify trends in the development of health and active tourism. In order to meet the above mentioned objective, a method of critical analysis of desk research was implemented, mainly a synthetic analysis of relevant scientific publications and reports. Against the background of globalization, the development of tourism is determined by, among others, demographic, economic and technological factors. The microtrends referring to contemporary consumers are of the utmost importance. The lifestyle significantly reflects the need for pro-health services. Health and active tourism are an antidote against the worries of everyday life. That is why the tourism market needs a profiled product consisting of wellness, with particular emphasis on motor recreation, healthy food and the possibility of establishing/maintaining social and/or family relationships. Creating, refreshing or diversifying such a tourist product is not a simple task. It requires the use of expertise and experience of representatives of science and practitioners, taking into account the tourism potential of a given region/country.
Results from anthropometric measurements and examinations of physical fitness of the candidates for the Polish Polar Expeditions from 1976 till 1980 are presented. The authors suggest the necessity of introducing fixed norms of physical fitness in medical qualification of the candidates for polar expeditions.
Plant responses to glyphosate applied at different doses were examined for one glyphosate resistant (R) and one glyphosate susceptible (S) population of Conyza albida and C. bonarienis. Growth rates and development stages of five R C. albida and three R C. bonarienis populations were also compared with those of their respective S counterparts to investigate the possible impact of the glyphosate resistance trait on their fitness. The GR50 values for C. albida R (3.94−5.22 kg a.i. · ha−1) and S (0.24−0.31 kg a.i. · ha−1) populations were higher than those of C. bonariensis R (0.60−1.51 kg a.i. · ha−1) and S (0.10−0.13 kg a.i. · ha−1). The growth rate (slope b) of one R C. albida population was lower than the respective S and other R populations, while growth rates of most R and S C. bonariensis populations were similar. Some R populations showed inconsistent differences in some development stages when compared to those of the S ones, which cannot be attributed to the glyphosate resistance trait.
Accurate prediction of power load plays a crucial role in the power industry and provides economic operation decisions for the power operation department. Due to the unpredictability and periodicity of power load, an improved method to deal with complex nonlinear relation was adopted, and a short-term load forecasting model combining FEW (fuzzy exponential weighting) and IHS (improved harmonic search) algorithms was proposed. Firstly, the domain space was defined, the harmony memory base was initialized, and the fuzzy logic relation was identified. Then the optimal interval length was calculated using the training sample data, and local and global optimum were updated by optimization criteria and judging criteria. Finally, the optimized parameters obtained by an IHS algorithm were applied to the FEW model and the load data of the Huludao region (2013) in Northeast China in May. The accuracy of the proposed model was verified using an evaluation criterion as the fitness function. The results of error analysis show that the model can effectively predict short-term power load data and has high stability and accuracy, which provides a reference for application of short-term prediction in other industrial fields.
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