Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Filipov, D. V."'
Autor:
Tetko, I. V., Aksenova, T. I., Volkovich, V. V., Kasheva, T. N., Filipov, D. V., Welsh, W. J., Livingstone, D. J., Villa, A. E. P.
Publikováno v:
SAR & QSAR in Environmental Research; Aug2000, Vol. 11 Issue 3/4, p263-280, 18p
Autor:
Belan, Boris D.1 (AUTHOR), Ancellet, Gerard2 (AUTHOR), Andreeva, Irina S.3 (AUTHOR), Antokhin, Pavel N.1 (AUTHOR), Arshinova, Viktoria G.1 (AUTHOR), Arshinov, Mikhail Y.1 (AUTHOR), Balin, Yurii S.1 (AUTHOR), Barsuk, Vladimir E.4 (AUTHOR), Belan, Sergei B.1 (AUTHOR), Chernov, Dmitry G.1 (AUTHOR), Davydov, Denis K.1 (AUTHOR), Fofonov, Alexander V.1 (AUTHOR), Ivlev, Georgii A.1 (AUTHOR), Kotel'nikov, Sergei N.5 (AUTHOR), Kozlov, Alexander S.6 (AUTHOR), Kozlov, Artem V.1 (AUTHOR), Law, Katharine2 (AUTHOR), Mikhal'chishin, Andrey V.4 (AUTHOR), Moseikin, Igor A.4 (AUTHOR), Nasonov, Sergei V.1 (AUTHOR)
Publikováno v:
Atmospheric Measurement Techniques. 2022, Vol. 15 Issue 13, p3941-3967. 27p.
Publikováno v:
Neural Plasticity; 1999, Vol. 6 Issue Supplement 1, p85-85, 3/4p
Autor:
BAYRAMOV, A. A., IMANOV, R. R.
Publikováno v:
Journal of Defense Resources Management; Oct2020, Vol. 11 Issue 2, p154-159, 6p
Publikováno v:
Proceedings of SPIE; 8/30/2017, Vol. 10466, p1-5, 5p
Autor:
Zenkova, Polina N., Chernov, Dmitriy G., Arshinov, Mikhail Yu., Belan, Boris D., Panchenko, Mikhail V.
Publikováno v:
Proceedings of SPIE; 9/5/2021, Vol. 11916, p119164H-119164H-10, 1p
Autor:
Igor V. Tetko
Publikováno v:
Neural Processing Letters; Oct2002, Vol. 16 Issue 2, p187-199, 13p
Publikováno v:
Synlett; 2001, Vol. 2001 Issue 11, p1755-1758, 4p
Autor:
Matvienko, Gennadii G., Romanovskii, Oleg A., Arshinov, Mikhail Yu., Belan, Boris D., Belan, Sergei B., Davydov, Denis K., Fofonov, Aleksander V., Ivlev, Georgii A., Kozlov, Alexander S., Kozlov, Artem V., Kuibida, Leonid V., Pevneva, Galina S., Praslova, Olga V., Simonenkov, Denis V., Tolmachev, Gennadii N., Voronetskaya, Natalya G.
Publikováno v:
Proceedings of SPIE; 9/14/2020, Vol. 11560, p1156074-1156074, 1p
Autor:
Jen-Tsung Chen
Traditional and Herbal Medicines for COVID-19 explores promising ways to manage COVID-19, post-COVID, and long-COVID conditions. The management plans are based on anti-virus activity, anti-inflammatory activity, and diverse health benefits of traditi