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1
Artykuł dostępny w postaci pełnego tekstu - kliknij by otworzyć plik
Content available

Selection of decisive variables for the construction of typical end user power demand profiles

100%
Necka K.
Teka Komisji Motoryzacji i Energetyki Rolnictwa
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2013
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tom 13
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nr 2
2

Separation of sympatric coregonid forms by gillraker frequencies using maximum likelihood and clustering methods

100%
Peltonen H., Lehtonen H.
Polskie Archiwum Hydrobiologii
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1992
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tom 39
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nr 3-4
3
Artykuł dostępny w postaci pełnego tekstu - kliknij by otworzyć plik
Content available

Structure of organic farming's cultivations in the selected EU countries in 2004-2012

84%
Kukula K., Strojny J.
Economic and Regional Studies
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2014
|
tom 07
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nr 4
The aim of this study is to analyze the structures of land use in organic farming in the EU countries, for which EUROSTAT made the statistics available. The survey concerns the period between 2004 and 2012. The method of data clustering has been used there in order to classify the structure of land use. The taxonomic analysis allowed for differentiating 5 subgroups from the database. They have cross-sectional and time-series character as well as similar cropping patterns. The agricultural sector reacted to the increasing demand for organic products in two ways: by the extension of the crops’ acreage or by the change in the structures of land use (in order to match the product offer with the demand). However, the conducted surveys did not reveal the essential changes in the structures of land use. In consequence, a significant level of stabilization of supply’s structure was noted.
4

Repetitive extragenic palindromic PCR [REP-PCR] as an alternative method for detection of bulking in activated sludge

67%
Soltysik D. A., Bednarek I. A., Loch T. M., Galka S. E., Sypniewski D. J., Machnik G. M., Blaszczyk D. K.
Polish Journal of Microbiology
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2010
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tom 59
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nr 1
11-20
Bulking of activated sludge is a world-wide problem which negatively affects wastewater treatment efficiency. The most common reasons of bulking are bacterial community changes, especially excessive growth of filamentous bacteria (filamentous bulking) or excess of biopolymers on the surface of non-filamentous microbes (non-filamentous or Zoogleal bulking). Because of the complex nature of the bulking phenomenon finding a successful bulking control strategy remains a very important issue that awaits new options and advices. The REP-PCR fingerprinting method has been applied to distinguish a bacterial community in non-bulking and bulking activated sludge. The characteristic REP-PCR fingerprinting patterns were compared with each other in terms of the presence or absence of bands and in terms of measured integrated optical density (IOD) of the bands. The obtained fingerprinting patterns, using Ward's clustering method, have been analyzed to determine homology/similarity relations between specific non-bulking and bulking sludge sampling. The received clustering results were in high concordance with activated sludge typing which generally is done based on physicochemical sludge analysis. The proposed REP-PCR method and statistical analysis of fingerprinting patterns seems to be a simple, rapid and effective method revealing differences between populations in non-bulking and bulking activated sludge. It may be useful for routine activated sludge monitoring and may be helpful in the early detection of the bulking process.
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