J
Jan Caha
Researcher at Mendel University
Publications - 24
Citations - 118
Jan Caha is an academic researcher from Mendel University. The author has contributed to research in topics: Fuzzy logic & Fuzzy number. The author has an hindex of 5, co-authored 21 publications receiving 85 citations. Previous affiliations of Jan Caha include Palacký University, Olomouc & Technical University of Ostrava.
Papers
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Forest vulnerability zones in the Czech Republic
TL;DR: In this paper, a model of forest vulnerability zones (FVZ) constitutes an alternative to existing zones of forest health hazard caused by emissions, based on subjective classification of existing incidence of damage in forests.
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Nontuberculous mycobacteria in the environment of Hranice Abyss, the world’s deepest flooded cave (Hranice karst, Czech Republic)
Ivo Pavlik,Milan Geršl,Milan Bartos,Vit Ulmann,Petra Kaucká,Jan Caha,Adrian Unc,Dana Hübelová,Ondrej Konecny,Helena Modra +9 more
TL;DR: The aim of the study was to ascertain the occurrence of NTM in the extreme environment of the water zone of the Hranice Abyss (HA) and the adjacent Zbrašov Aragonite Caves with consideration of their pathogenic relevance.
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Socio-Economic and Environmental Factors Related to Spatial Differences in Human Non-Tuberculous Mycobacterial Diseases in the Czech Republic.
Helena Modra,Vit Ulmann,Jan Caha,Dana Hübelová,Ondřej Konečný,J. Svobodova,R. T. Weston,Ivo Pavlik +7 more
TL;DR: The most frequently isolated NTM meeting the microbiological and clinical criteria in the study were the Mycobacterium avium-intracellulare complex, followed by Myc Cobacterium kansasii and MycOBacterium xenopi.
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Subjective or Objective? How Objective Measures Relate to Subjective Life Satisfaction in Europe
TL;DR: In this research, the multiple fuzzy linear regression model is applied in order to explain the relationship between subjective life satisfaction and selected objective indicators used to evaluate quality of life, and a pan-European sub-national prediction of life satisfaction was proposed.
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Discrimination between acute and chronic decline of Central European forests using map algebra of the growth condition and forest biomass fuzzy sets: A case study
TL;DR: The fuzzy model used suggests that improvement in forest health will depend on decreasing environmental load and restoration concordance between growth conditions and tree species composition.