Aim. The study of the genus Melanotus from the collection of the Institute of Zoology of the Scientific Center of Zoology and Hydroecology of the National Academy of Sciences of the Republic of Armenia taking into account new taxonomic and chorological data.Material and Methods. Scientific material was identified after desktop processing and preparation of genitalia according to current data on the genus Melanotus.Results and Conclusion. We determined 21 species of the genus Melanotus in the collection from Europe, the Caucasus and Middle Asia, 12 species being recorded from the territory of Armenia. The collection of the genus Мelanotus in the Institute of Zoology includes species endemic to Armenia (M. gedeoni Mardjanyan, 2015, M. platiai Mardjanyan, 2015, M. khnzoriani Mardjanyan, 2015), to Tajikistan (M. fragilloides Dolin, 1988, M. vidualis Gurjeva, 1988) and to Iran (M. dichroides Platia & Gudenzi, 1999, M. richterae Mardjanyan, 2015). Three species, M. castanipes Paykull, 1800, M. fulvus Reitter, 1891 and M. sladkovi Dolin & Atamuradov, 1986 are recorded for the first time for Armenia. M. rustamovi Dolin & Atamuradov, 1987 is the first record for Tajikistan and M. persimilis Dolin & Latifi, 1988 for Turkmenistan.
Aim. The aim of the work is to study the biodiversity of certain invertebrates (Insecta, Molluska) of the Azat River gorge and their ecological and biological features.Material and Methods. Invertebrates collected in the Garni‐Goght‐ Geghard section of the Azat River gorge in the period from 2015 to 2021 served as study material.The work was carried out at the Scientific Center for Zoology and Hydroecology of the National Academy of Sciences of the Republic of Armenia. Our own collections have been used as material, as well as collections of insects and mollusks of the Institute of Zoology.Results. As a result of studies of the species composition of invertebrates of the Azat River gorge (Geghard, Goght, Garni) we found: 25 species of horseflies (Tabanidae: Diptera), 24 species of phytophagous gall midges (Cecidomyiidae: Diptera); 13 aphid species (Aphididae: Hymenoptera); 17 pyralid moth species (Crambidaе: Lepidoptera) from 5 subfamilies (Crambinae, Evergestinae, Pyraustinae, Spilomerlinae, Glaphyriinae); 19 species of mollusks (Molluska): 3 species of freshwater mollusks from 3 families (Physidae, Planorbidae, Ancylidae), 16 species of terraneous mollusks from 10 families (Succineidae, Vertiginidae, Orculidae, Pupillidae Valloniidae, Enidae, Vitrinidae, Endodontidae, Limacidae, Helicida). The bioecological features of these insects and mollusks have been studied and distribution by biotopes, revealing changes in the species composition of some groups due to anthropogenic factors.Conclusion. As a result of the researches undertaken, a wide variety of invertebrates has been frevealed. They occupy all ecological niches and are found in all plant formations of the Azat River gorge. Most of the insect species are of economic importance. Research on invertebrates of the Azat river gorge is very promising. Works in this direction will be continued with the involvement of new research groups.
Recording and analyzing 12-lead electrocardiograms is the most common procedure for detecting heart disease. Recently, various deep learning methods have been proposed for the automatic diagnosis by an electrocardiogram. The proposed methods can provide a second opinion for the doctor and help detect pathologies at an early stage. Various methods are proposed in the paper to improve the quality of prediction of ECG recording pathologies. Techniques include adding patient metadata, ECG noise reduction, and self-adaptive learning. The significance of data parameters in training a classification model is also explored. Among the considered parameters, the influence of various ECG leads, the length of the electrocardiogram and the volume of the training sample is studied. The experiments carried out show the relevance of the described approaches and offer an optimal estimate of the input data parameters.
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