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  1. Defective regulation of membrane TNFα expression in dendritic cells of glioblastoma patients leads to the impairment of cytotoxic activity against autologous tumor cells

    Tyrinova, T., Leplina, O., Mishinov, S., Tikhonova, M., Dolgova, E., Proskurina, A., Stupack, V., Bogachev, S., Ostanin, A. & Chernykh, E., 21 Apr 2020, In: International Journal of Molecular Sciences. 21, 8, 19 p., 2898.

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

  2. Defect induced photoluminescence and triboluminescence in layered CaLaAl3O7

    Li, Y., Li, Y., Koskin, I. P., Ma, Z., Benassi, E. & Wang, Z., 7 Apr 2020, In: Dalton Transactions. 49, 13, p. 3942-3945 4 p.

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

  3. Default Mode Network Connections Supporting Intra- Individual Variability in Typically Developing Primary School Children: An EEG Study

    Privodnova, E. Y., Slobodskaya, H. R., Bocharov, A. V., Saprigyn, A. E. & Knyazev, G. G., Oct 2020, In: Neuropsychology. 34, 7, p. 811-823 13 p.

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

  4. DEER/PELDOR Study of the Effect of Extremely Low Concentrations of the Antimicrobial Peptide Chalciporin A on the Membrane Lipid Organization

    Kashnik, A. S., Syryamina, V. N., Biondi, B., Peggion, C., Formaggio, F. & Dzuba, S. A., Mar 2023, In: Applied Magnetic Resonance. 54, 3, p. 401-414 14 p.

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

  5. Deep sub-Doppler cooling of Mg in MOT formed by light waves with elliptical polarization

    Prudnikov, O. N., Brazhnikov, D. V., Taichenachev, A. V., Yudin, V. I. & Goncharov, A. N., 16 Feb 2017, In: Journal of Physics: Conference Series. 793, 1, 9 p., 012021.

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

  6. Deep reinforcement learning for self-tuning laser source of dissipative solitons

    Kuprikov, E., Kokhanovskiy, A., Serebrennikov, K. & Turitsyn, S., Dec 2022, In: Scientific Reports. 12, 1, 7185.

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

  7. Deep Reinforcement Learning Control of Cylinder Flow Using Rotary Oscillations at Low Reynolds Number

    Tokarev, M., Palkin, E. & Mullyadzhanov, R., 2 Nov 2020, In: Energies. 13, 22, 11 p., 5920.

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

  8. Deep reinforcement learning algorithm for self-tuning 8-figure fiber laser

    Kokhanovskiy, A., Kuprikov, E., Serebrennikov, K. & Turitsyn, S., 2021, The European Conference on Lasers and Electro-Optics, CLEO/Europe 2021. The Optical Society, cj_4_3. (Optics InfoBase Conference Papers).

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

  9. Deep reinforcement learning algorithm for self-tuning 8-figure fiber laser

    Kokhanovskiy, A., Kuprikov, E., Serebrennikov, K. & Turitsyn, S., Jun 2021, 2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021. Institute of Electrical and Electronics Engineers Inc., 1 p. (2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021).

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

  10. Deep-red phosphorescent organic–inorganic hybrid Mn(II) complexes based on 2-(diphenylphosphoryl)-N,N-diethylacetamide ligand

    Artem'ev, A. V., Berezin, A. S., Brel, V. K., Morgalyuk, V. P. & Samsonenko, D. G., 1 Jul 2018, In: Polyhedron. 148, p. 184-188 5 p.

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

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