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  1. Derivation of Linear and Nonlinear Acoustic Systems for an Incompressible Viscoelastic Polymer Fluid

    Blokhin, A. M. & Goldin, A. Y., 20 Mar 2020, In: Journal of Applied and Industrial Mathematics. 14, 1, p. 9-19 11 p.

    Research output: Contribution to journal › Article › peer-review

  2. Deregulation of p53-dependent microRNAs: The results of mathematical modeling

    Voropaeva, O. F., Senotrusova, S. D. & Shokin, Y. I., 1 Jan 2017, In: Mathematical Biology and Bioinformatics. 12, 1, p. 151-175 25 p.

    Research output: Contribution to journal › Article › peer-review

  3. Depth of the Maximum of Extensive Air Showers (EASes) and the Mean Mass Composition of Primary Cosmic Rays in the 1015–1018 eV Range of Energies, According to Data from the TUNKA-133 and TAIGA-HiSCORE Arrays for Detecting EAS Cherenkov Light in the Tunkinsk Valley

    the TAIGA Collaboration, Apr 2021, In: Bulletin of the Russian Academy of Sciences: Physics. 85, 4, p. 395-397 3 p.

    Research output: Contribution to journal › Article › peer-review

  4. Depth differentiation of the Middle Ordovician graptolite and trilobite complexes of Gorny Altai

    Sennikov, N. V., Timokhin, A. V. & Lykova, E. V., 1 Jun 2017, In: Russian Geology and Geophysics. 58, 6, p. 711-726 16 p.

    Research output: Contribution to journal › Article › peer-review

  5. Depth analysis of greyscale integral images using continuous multiview wavelet transform

    Saveljev, V., Palchikova, I. & Li, X. (Guest ed.), 1 Jan 2018, In: International Journal of Optics. 2018, 8 p., 3151209.

    Research output: Contribution to journal › Article › peer-review

  6. Deprotonation of Benzoxazolium Salt: Trapping of a Radical-Cation Intermediate

    Klementyeva, S. V., Abramov, P. A., Somov, N. V., Dudkina, Y. B., Budnikova, Y. H. & Poddel'Sky, A. I., 15 Feb 2019, In: Organic Letters. 21, 4, p. 946-950 5 p.

    Research output: Contribution to journal › Article › peer-review

  7. Depressive symptoms and autobiographical memory: A pilot electroencephalography (EEG) study

    Knyazev, G. G., Savostyanov, A. N., Bocharov, A. V. & Kuznetsova, V. B., 16 Mar 2017, In: Journal of Clinical and Experimental Neuropsychology. 39, 3, p. 242-256 15 p.

    Research output: Contribution to journal › Article › peer-review

  8. Depressive Symptomatology and the Activity of Oscillatory Resting State Networks

    Knyazev, G. G., Savost’yanov, A. N., Bocharov, A. V., Saprygin, A. E. & Tamozhnikov, S. S., 1 Oct 2016, In: Neuroscience and Behavioral Physiology. 46, 8, p. 942-947 6 p.

    Research output: Contribution to journal › Article › peer-review

  9. Depressive behaviour induced by activation of hippocampus associated with changes in c-Fos and Bcl-xL expression in the CA1 and cortical neurons

    Dygalo, N., Bulygina, V. V., Sukhareva, E. V., Kalinina, T. S. & Lanshakov, D. A., Oct 2017, In: European Neuropsychopharmacology. 27, p. S675-S675 1 p.

    Research output: Contribution to journal › Meeting Abstract › peer-review

  10. Depression Detection Through EEG Signal Analysis: A Convolutional Autoencoder Deep Learning Model

    Firoz, N., Aksyonov, S. V., Berestneva, O. G. & Savostyanov, A., 8 Aug 2025, International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM. IEEE Computer Society, p. 1820-1825 6 p. (International Conference of Young Specialists on Micro/Nanotechnologies and Electron Devices, EDM).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

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