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Geografia narkomanii - jednego z najwiekszych zagrozen przelomu XX/XXI wieku.

100%

Lechowicz L. , Majka M.

tom 53

nr 4

169-172

The use of infrared spectroscopy and artificial neural networks for detection of uropathogenic Escherichia coli strains’ susceptibility to cephalothin

80%

Lechowicz L. , Urbaniak M. , Adamus-Bialek W. , Kaca W.

nr 4

Background & Aims: Infrared spectroscopy is an increasingly common method for bacterial strains' testing. For the analysis of bacterial IR spectra, advanced mathematical methods such as artificial neural networks must be used. The combination of these two methods has been used previously to analyze taxonomic affiliation of bacteria. The aim of this study was the classification of Escherichia coli strains in terms of susceptibility/resistance to cephalothin on the basis of their infrared spectra. The infrared spectra of 109 uropathogenic E. coli strains were measured. These data are used for classification of E. coli strains by using designed artificial neural networks. Results: The most efficient artificial neural networks classify the E. coli sensitive/resistant strains with an error of 5%. Conclusions: Bacteria can be classified in terms of their antibiotic susceptibility by using infrared spectroscopy and artificial neural networks.

Selected rare and protected macrofungi (Agaricomycetes) as bioindicators of communities of xerothermic vegetation in the Nida Basin

80%

Tomaszewska A. , Luszczynski J. , Lechowicz L. , Chrapek M.

tom 50

nr 1

Results of mycological investigations conducted in xerothermic grasslands of the Nida Basin in the years 1984–2013 are presented. Our research brings up to date the current knowledge on ecological requirements of threatened species of macrofungi. Strong affiliations between macrofungi and specific phytocenoses of the alliances Festuco-Stipion and Seslerio-Festucion duriusculae were detected. A considerable influence of the occurrence of certain species of steppe fungi on the composition of the mycobiota in the Nida Basin was identified.