The influence of the conditions of ion exchange in CuSO4:Na2SO4 melt on the optical properties of surface layers of silicate glass von Demichev, I. A., Sidorov, A. I., Nikonorov, N. V.

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Specific features of the luminescence of silicate glasses with silver introduced by ion exchange von Demichev, I. A., Ignat’ev, A. I., Nikonorov, N. V., Sgibnev, E. M., Sidorov, A. I., Khrushcheva, T. A., Shakhverdov, T. A.

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DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput von Demichev, Vadim, Messner, Christoph B., Vernardis, Spyros I., Lilley, Kathryn S., Ralser, Markus

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Time-resolved in vivo ubiquitinome profiling by DIA-MS reveals USP7 targets on a proteome-wide scale von Steger, Martin, Demichev, Vadim, Backman, Mattias, Ohmayer, Uli, Ihmor, Phillip, Müller, Stefan, Ralser, Markus, Daub, Henrik

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Ecosystem of Innovative Environments of the Territory: Additional Education and Entrepreneurship von Demichev, Ilya

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Brave Children’s Day: The Sikh Version in the General Indian Context von Demichev, Kirill

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Increasing the throughput of sensitive proteomics by plexDIA von Derks, Jason, Leduc, Andrew, Wallmann, Georg, Huffman, R. Gray, Willetts, Matthew, Khan, Saad, Specht, Harrison, Ralser, Markus, Demichev, Vadim, Slavov, Nikolai

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Interrelation of equivariant Gaussian processes and convolutional neural networks von Demichev, Andrey, Kryukov, Alexander

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dia-PASEF data analysis using FragPipe and DIA-NN for deep proteomics of low sample amounts von Demichev, Vadim, Szyrwiel, Lukasz, Yu, Fengchao, Teo, Guo Ci, Rosenberger, George, Niewienda, Agathe, Ludwig, Daniela, Decker, Jens, Kaspar-Schoenefeld, Stephanie, Lilley, Kathryn S., Mülleder, Michael, Nesvizhskii, Alexey I., Ralser, Markus

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MSBooster: improving peptide identification rates using deep learning-based features von Yang, Kevin L., Yu, Fengchao, Teo, Guo Ci, Li, Kai, Demichev, Vadim, Ralser, Markus, Nesvizhskii, Alexey I.

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CLASSICAL AND CHRONODISCRETE MONO-GEOGRAPHICAL COMPARATIVE JURISPRUDENCE: GENERAL AND SPECIFIC von DEMICHEV, Alexey Andreevich

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Ultra-fast proteomics with Scanning SWATH von Messner, Christoph B., Demichev, Vadim, Bloomfield, Nic, Yu, Jason S. L., White, Matthew, Kreidl, Marco, Egger, Anna-Sophia, Freiwald, Anja, Ivosev, Gordana, Wasim, Fras, Zelezniak, Aleksej, Jürgens, Linda, Suttorp, Norbert, Sander, Leif Erik, Kurth, Florian, Lilley, Kathryn S., Mülleder, Michael, Tate, Stephen, Ralser, Markus

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Analysis of DIA proteomics data using MSFragger-DIA and FragPipe computational platform von Yu, Fengchao, Teo, Guo Ci, Kong, Andy T., Fröhlich, Klemens, Li, Ginny Xiaohe, Demichev, Vadim, Nesvizhskii, Alexey I.

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High-throughput proteomics of nanogram-scale samples with Zeno SWATH MS von Wang, Ziyue, Mülleder, Michael, Batruch, Ihor, Chelur, Anjali, Textoris-Taube, Kathrin, Schwecke, Torsten, Hartl, Johannes, Causon, Jason, Castro-Perez, Jose, Demichev, Vadim, Tate, Stephen, Ralser, Markus

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Using deep learning methods for IACT data analysis in gamma-ray astronomy: A review von Demichev, A., Kryukov, A.

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METHODOLOGICAL-COGNITIVE COLLAPSE IN THE MODERN HISTORY OF STATE AND LAW von DEMICHEV Alexey Andreevich

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Impressions of a jurer» by G.S.N. as a source for studying the Russian jury trial of the late XIXth century von Alexey A. Demichev

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Searching for intrinsic charm in the proton at the LHC von Bednyakov, V.A., Demichev, M.A., Lykasov, G.I., Stavreva, T., Stockton, M.

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CHARACTERIZATION OF RUSSIAN REGIONS BY VARIATION IN AVERAGE TEMPERATURE, PRECIPITATION, AND AGRICULTURAL DEVELOPMENT von DEMICHEV, V

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Initial recommendations for performing, benchmarking and reporting single-cell proteomics experiments von Gatto, Laurent, Aebersold, Ruedi, Cox, Juergen, Demichev, Vadim, Derks, Jason, Emmott, Edward, Franks, Alexander M., Ivanov, Alexander R., Kelly, Ryan T., Khoury, Luke, Leduc, Andrew, MacCoss, Michael J., Nemes, Peter, Perlman, David H., Petelski, Aleksandra A., Rose, Christopher M., Schoof, Erwin M., Van Eyk, Jennifer, Vanderaa, Christophe, Yates, John R., Slavov, Nikolai

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