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Wyszukujesz frazę "Novikov, I." wg kryterium: Autor

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    Tytuł:
    A breakthrough in the efficiency of contact DNA insecticides: rapid high mortality rates in the sap-sucking insects Dynaspidiotus britannicus Comstock and Unaspis euonymi Newstead
    Autorzy:
    Gal`chinsky, N.
    Useinov, R.
    Yatskova, E.
    Laikova, K.
    Novikov, I.
    Gorlov, M.
    Trikoz, N.
    Sharmagiy, A.
    Plugatar, Y.
    Oberemok, V.
    Powiązania:
    https://bibliotekanauki.pl/articles/2082776.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    antisense oligonucleotides
    DNA insecticides
    insect pest control
    sap-sucking
    insects
    28S ribosomal RNA
    Opis:
    In this short communication describing experiments carried out on the larvae of two insects, Unaspis euonymi Comstock (feeding on Euonymus japonicus Thunb.) and Dynaspidiotus britannicus Newstead (feeding on Laurus nobilis L.), we evaluate for the first time the efficiency of using DNA insecticides in the control of sap-sucking insects, including armored scale insects. Over a period of 10 days, high insect mortality was detected in both U. euonymi and D. britannicus, accompanied by a significant decrease in the concentration of target RNAs. At the same time, no visible changes were observed when the leaves of the host plants were subjected to treatment with DNA insecticides for one month. The results show the high efficiency of DNA insecticides used against hemipteran insect pests. It is noteworthy that the high efficiency of DNA insecticides and their low cost in comparison with RNA preparations provides a safe and extremely promising potential vehicle for the control of sap-sucking insects.
    Źródło:
    Journal of Plant Protection Research; 2020, 60, 2; 220-223
    1427-4345
    Pojawia się w:
    Journal of Plant Protection Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Insecticidal activity of three 10–12 nucleotides long antisense sequences from 5.8S ribosomal RNA gene of gypsy moth Lymantria dispar L. against its larvae
    Autorzy:
    Oberemok, V.V.
    Laikova, K.V.
    Useinov, R.Z.
    Gal`chinsky, N.V.
    Novikov, I.A.
    Yurchenko, K.A.
    Volkov, M.E.
    Gorlov, M.V.
    Brailko, V.A.
    Plugatar
    Powiązania:
    https://bibliotekanauki.pl/articles/2084849.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    antisense oligonucleotides
    DNA insecticides
    gypsy moth
    insect pest control
    Lymantria dispar
    5.8S ribosomal RNA
    Opis:
    5.8S ribosomal RNA plays an important role in protein synthesis and eukaryotic ribosome translocation. Contact DNA insecticides based on antisense fragments of 5.8S ribosomal RNA gene of gypsy moth Lymantria dispar L. showed prospective insecticidal activity on its larvae. The most pronounced insecticidal effect was found for antisense fragments 10 and 11 nucleotides long (oligoRIBO-10 and oligoRIBO-11), whereas 12 nucleotides long fragment (oligoRIBO-12) caused the lowest level of insect mortality. This data corresponds to results obtained earlier using rabbit reticulocyte and wheat germ extracts, where maximum inhibition of protein synthesis was observed when a relevant oligomer 10-11 nucleotides long was used, whilst longer chain lengths resulted in reduced inhibition. Using oligoRIBO-11 fragment we have shown penetration of antisense oligonucleotides to insect cells through insects’ exoskeletons. MALDI technique registered the penetration of the oligoRIBO-11 fragment into insect cells after 30 min and a significant response of insect cells to the applied oligonucleotide after 60 min, which indicates not only that the oligonucleotide enters the insect cells, but also the synthesis of new substances in response to the applied DNA fragment. Contact DNA insecticides developed from the L. dispar 5.8S ribosomal RNA gene provide a novel biotechnology for plant protection using unmodified antisense oligonucleotides.
    Źródło:
    Journal of Plant Protection Research; 2019, 59, 4; 561-564
    1427-4345
    Pojawia się w:
    Journal of Plant Protection Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Exponential machines
    Autorzy:
    Novikov, A.
    Trofimov, M.
    Oseledets, I.
    Powiązania:
    https://bibliotekanauki.pl/articles/201849.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    tensor decomposition
    tensor train
    factorization machines
    Riemannian optimization
    optymalizacja
    dekompozycja tensorowa
    tensor metryczny Riemanna
    Opis:
    Modeling interactions between features improves the performance of machine learning solutions in many domains (e.g. recommender systems or sentiment analysis). In this paper, we introduce Exponential machines (ExM), a predictor that models all interactions of every order. The key idea is to represent an exponentially large tensor of parameters in a factorized format called tensor train (TT). The tensor train format regularizes the model and lets you control the number of underlying parameters. To train the model, we develop a stochastic Riemannian optimization procedure, which allows us to fit tensors with ¼ 256 entries. We show that the model achieves state-of-the-art performance on synthetic data with high-order interactions and that it works on par with high-order factorization machines on a recommender system dataset MovieLens 100 K.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2018, 66, 6; 789-797
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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