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  1. Pronormality and Submaximal X -Subgroups on Finite Groups: Dedicated to celebrate the Sixtieth anniversary of USTC

    Guo, W. & Revin, D. O., 1 Sept 2018, In: Communications in Mathematics and Statistics. 6, 3, p. 289-317 29 p.

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

  2. Pronormality of Hall Subgroups in Their Normal Closure

    Vdovin, E. P., Nesterov, M. N. & Revin, D. O., 1 Jan 2018, In: Algebra and Logic. 56, 6, p. 451-457 7 p.

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

  3. Reconstruction and Analysis of Gene Networks of Human Neurotransmitter Systems Reveal Genes with Contentious Manifestation for Anxiety, Depression, and Intellectual Disabilities

    Ivanov, R., Zamyatin, V., Klimenko, A., Matushkin, Y., Savostyanov, A. & Lashin, S., 11 Sept 2019, In: Genes. 10, 9, 14 p., 699.

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

  4. Relationship of Depression, Anxiety, and Rumination Scores with EEG Connectivity of Resting State Networks

    Bocharov, A. V., Knyazev, G. G., Savostyanov, A. N., Saprygin, A. E., Proshina, E. A. & Tamozhnikov, S. S., Mar 2021, In: Human Physiology. 47, 2, p. 123-127 5 p.

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

  5. Resting heart rate variability in young women is a predictor of EEG reactions to linguistic ambiguity in sentences

    Liou, M., Hsieh, J. F., Evans, J., Su, I. W., Nayak, S., Lee, J. D. & Savostyanov, A. N., 15 Dec 2018, In: Brain Research. 1701, p. 1-17 17 p.

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

  6. Resting state connectivity mediates the relationship between collectivism and social cognition

    Knyazev, G. G., Savostyanov, A. N., Bocharov, A. V. & Merkulova, E. A., 1 Jan 2018, In: International Journal of Psychophysiology. 123, p. 17-24 8 p.

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

  7. Resting State Networks Mediate the Effect of Genotype by Environment Interaction on Mental Health

    Knyazev, G. G., Savostyanov, A. N., Bocharov, A. V., Bazovkina, D. V. & Proshina, E. A., 15 Jan 2018, In: Neuroscience. 369, p. 139-151 13 p.

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

  8. Safe Pretraining of Deep Language Models in a Synthetic Pseudo-Language

    Gorbacheva, T. E. & Bondarenko, I. Y., Dec 2023, In: Doklady Mathematics. 108, Suppl 2, p. S494-S502 9 p.

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

  9. Semiotic training for brain-computer interfaces

    Timofeeva, M., 3 Nov 2016, Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, FedCSIS 2016. Institute of Electrical and Electronics Engineers Inc., p. 921-925 5 p. 7733352

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

  10. Sensitivity of the Arctic Ocean gas hydrate to climate changes in the period of 1948-2015

    Malakhova, V. V., Golubeva, E. N. & Iakshina, DI. F., 1 Jan 2017, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Matvienko, GG. & Romanovskii, OA. (eds.). The International Society for Optical Engineering, Vol. 10466. p. 68 10 p. 1046656. (Proceedings of SPIE; vol. 10466).

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

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