Publications by authors named "M M Tkachenko"
Purpose: The aim of this study was the comparative analysis of the parasite communities of new populations of invasive pumpkinseed (Lepomis gibbosus) in western Ukraine with pumpkinseed from Czechia, where populations have rapidly expanded over the last two decades.
Methods: Sampling took place at three localities in the western part of Ukraine (i.e.
This study describes the parasite community of non-native brown bullhead, (Actinopterygii: Ictaluridae), collected at three sites in the river Vistula Basin (Lake Svitiaz, Lake Pisochne, and Lake on Plastova) and one site in the river Diester Basin (Lake Stryiska), in Ukraine. Our data represent the first comprehensive study of parasite community in this fish species in Europe. Sixteen parasite taxa were found, including species co-introduced from North America and species acquired in the European range.
View Article and Find Full Text PDFSerotonin (5-hydroxytryptamine, 5-HT) is known to be a regulator of oocyte maturation in a large number of animal species. In maturing mammalian oocytes, the accumulation of exogenous, maternal serotonin occurs due to the activity of the membrane transporter SERT. In this work, we investigated how SERT activity in oocytes correlates with indicators of follicular selection and oocyte maturity.
View Article and Find Full Text PDFMonogenean parasites are often co-introduced with their fish hosts into novel areas. This study confirmed co-introduction of two dactylogyrids, Dactylogyrus squameus Gusev, 1955 and Bivaginogyrus obscurus (Gusev, 1955), and a newly described gyrodactylid species, Gyrodactylus pseudorasborae n. sp.
View Article and Find Full Text PDFArticle Synopsis
- Recent studies demonstrate that hyperspectral imaging (HSI) paired with neural networks can effectively detect colorectal cancer, though post-processing techniques have been less examined compared to pre-processing methods.* -
- The research tested two pre-processing techniques (Standardization and Normalization) and evaluated two 3D convolutional neural network (CNN) models (Inception-based and RS-based), along with two median filter post-processing algorithms on data from 56 patients.* -
- Results show that Inception-based models outperformed RS-based models, especially with Normalization, and post-processing improved overall sensitivity and specificity by 6.6%, indicating that careful selection of pre- and post-processing methods enhances diagnostic performance.*