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  1. A Polynomial Algorithm with Asymptotic Ratio 2/3 for the Asymmetric Maximization Version of the m-PSP

    Glebov, A. N. & Toktokhoeva, S. G., 1 Aug 2020, In: Journal of Applied and Industrial Mathematics. 14, 3, p. 456-469 14 p.

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

  2. A Polynomial-Time Algorithm for the Routing Flow Shop Problem with Two Machines: An Asymmetric Network with a Fixed Number of Nodes

    Chernykh, I., Kononov, A. & Sevastyanov, S., 1 Jan 2020, Mathematical Optimization Theory and Operations Research - 19th International Conference, MOTOR 2020, Proceedings. Kononov, A., Khachay, M., Kalyagin, V. A. & Pardalos, P. (eds.). Springer Gabler, p. 301-312 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12095 LNCS).

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

  3. A Polynomial-Time Approximation Algorithm for One Problem Simulating the Search in a Time Series for the Largest Subsequence of Similar Elements

    Kel’manov, A. V., Khamidullin, S. A., Khandeev, V. I., Pyatkin, A. V., Shamardin, Y. V. & Shenmaier, V. V., 1 Jul 2018, In: Pattern Recognition and Image Analysis. 28, 3, p. 363-370 8 p.

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

  4. A polynomial time delta-decomposition algorithm for positive DNFs

    Ponomaryov, D., 1 Jan 2019, Computer Science – Theory and Applications - 14th International Computer Science Symposium in Russia, CSR 2019, Proceedings. van Bevern, R. & Kucherov, G. (eds.). Springer, p. 325-336 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11532 LNCS).

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

  5. Apoptosis as the basic mechanism of cytotoxic action of ursolic and pomolic acids in glioma cells

    Frolova, T. S., Lipeeva, A. V., Baev, D. S., Tsepilov, Y. A. & Sinitsyna, O. I., 1 Sept 2017, In: Molecular Biology. 51, 5, p. 705-711 7 p.

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

  6. Apoptosis as the basic mechanism of cytotoxic action of ursolic and pomolic acids in glioma cells

    Frolova, T. S., Lipeeva, A. V., Baev, D. S., Tsepilov, Y. A. & Sinitsyna, O. I., 1 Sept 2017, In: Molekuliarnaia biologiia. 51, 5, p. 809-816 8 p.

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

  7. A portable wireless device for monitoring of cell culture growth based on light scattering

    Chernova, D. N. & Moskalensky, A. E., 2021, Diffuse Optical Spectroscopy and Imaging VIII. Contini, D., Hoshi, Y. & O'Sullivan, T. D. (eds.). The International Society for Optical Engineering, 119201O. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; vol. 11920).

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

  8. A portable wireless device for monitoring of cell culture growth based on light scattering

    Chernova, D. N. & Moskalensky, A. E., 2021, European Conferences on Biomedical Optics, ECBO 2021. The Optical Society, EM1A.40. (Optics InfoBase Conference Papers).

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

  9. A Posteriori Analysis of the Algorithms for Two-Bar Charts Packing Problem

    Erzin, A., Melidi, G., Nazarenko, S. & Plotnikov, R., 2021, Advances in Optimization and Applications - 12th International Conference, OPTIMA 2021, Revised Selected Papers. Olenev, N. N., Evtushenko, Y. G., Malkova, V., Jacimovic, M. & Khachay, M. (eds.). Springer, p. 201-216 16 p. (Communications in Computer and Information Science; vol. 1514 CCIS).

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

  10. A potent, broadly neutralizing human monoclonal antibody that efficiently protects hACE2-transgenic mice from infection with the Wuhan, BA.5, and XBB.1.5 SARS-CoV-2 variants

    Guselnikov, S. V., Baranov, K. O., Kulemzin, S. V., Belovezhets, T. N., Chikaev, A. N., Murasheva, S. V., Volkova, O. Y., Mechetina, L. V., Najakshin, A. M., Chikaev, N. A., Solodkov, P. P., Sergeeva, M. V., Smirnov, A. V., Serova, I. A., Serov, O. L., Markhaev, A. G., Kononova, Y. V., Alekseev, A. Y., Gulyaeva, M. A., Danilenko, D. M., & 3 othersBattulin, N. R., Shestopalov, A. M. & Taranin, A. V., 9 Aug 2024, In: Frontiers in Immunology. 15, 8 p., 1442160.

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

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