9,578 results on '"Yashin, A"'
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2. Strain Hardening of 1565ch, AMg6, 01570, and 1580 Aluminum Alloys in the Process of Cold Rolling of Plates
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Sosedkov, S. M., Drits, A. M., Aryshenskiy, V. Yu., and Yashin, V. V.
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- 2024
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3. Results of the follow-up of ANTARES neutrino alerts
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Albert, A., Alves, S., André, M., Ardid, M., Ardid, S., Aubert, J. -J., Aublin, J., Baret, B., Basa, S., Becherini, Y., Belhorma, B., Bendahman, M., Benfenati, F., Bertin, V., Biagi, S., Bissinger, M., Boumaaza, J., Bouta, M., Bouwhuis, M. C., Brânzas, H., Bruijn, R., Brunner, J., Busto, J., Caiffi, B., Calvo, D., Campion, S., Capone, A., Caramete, L., Carenini, F., Carr, J., Carretero, V., Celli, S., Cerisy, L., Chabab, M., Moursli, R. Cherkaoui El, Chiarusi, T., Circella, M., Coelho, J. A. B., Coleiro, A., Coniglione, R., Coyle, P., Creusot, A., Cruz, A. S. M., Díaz, A. F., De Martino, B., Distefano, C., Di Palma, I., Donzaud, C., Dornic, D., Drouhin, D., Eberl, T., van Eeden, T., van Eijk, D., Hedri, S. El, Khayati, N. El, Enzenhöfer, A., Fermani, P., Ferrara, G., Filippini, F., Fusco, L., Gagliardini, S., García, J., Oliver, C. Gatius, Gay, P., Geißelbrecht, N., Glotin, H., Gozzini, R., Ruiz, R. Gracia, Graf, K., Guidi, C., Haegel, L., Hallmann, S., van Haren, H., Heijboer, A. J., Hello, Y., Hennig, L., Hernández-Rey, J. J., Hößl, J., Hofestädt, J., Huang, F., Illuminati, G., James, C. W., Jisse-Jung, B., de Jong, M., de Jong, P., Kadler, M., Kalekin, O., Katz, U., Kouchner, A., Kreykenbohm, I., Kulikovskiy, V., Lahmann, R., Lamoureux, M., Lazo, A., Lefèvre, D., Leonora, E., Levi, G., Stum, S. Le, Loucatos, S., Maderer, L., Manczak, J., Marcelin, M., Margiotta, A., Marinelli, A., Martínez-Mora, J. A., Migliozzi, P., Moussa, A., Muller, R., Navas, S., Nezri, E., Fearraigh, B. Ó, Oukacha, E., Pāun, A., Pāvālas, G. E., Peña-Martínez, S., Perrin-Terrin, M., Piattelli, P., Popa, V., Pradier, T., Randazzo, N., Real, D., Riccobene, G., Romanov, A., Sánchez-Losa, A., Saina, A., Greus, F. Salesa, Samtleben, D. F. E., Sanguineti, M., Sapienza, P., Schnabel, J., Schumann, J., Schüssler, F., Seneca, J., Spurio, M., Stolarczyk, Th., Taiuti, M., Tayalati, Y., Tingay, S. J., Vallage, B., Vannoye, G., Van Elewyck, V., Viola, S., Vivolo, D., Wilms, J., Zavatarelli, S., Zegarelli, A., Zornoza, J. D., Zúñiga, J., Lipunov, V., Antipov, G., Balanutsa, P., Buckley, D., Budnev, N., Chasovnikov, A., Cheryasov, D., Francile, C., Gabovich, A., Gorbovskoy, E., Gorbunov, I., Gress, O., Kornilov, V., Kuznetsov, A., Iyudin, A., Podesta, R., Podesta, F., Lopez, R. Rebolo, Senik, V., Sierra-Rucart, M., Svertilov, S., Tiurina, N., Vlasenko, D., Yashin, I., Zhirkov, K., Croft, S., Kaplan, D. L., Anderson, G. E., Williams, A., Dobie, D., Bannister, K. W., Hancock, P. J., Evans, P. A., Kennea, J. A., Osborne, J. P., Cenko, S. B., Antier, S., Atteia, J. L., Boër, M., Klotz, A., Chaty, S., Hodapp, K., and Savchenko, V.
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Astrophysics - High Energy Astrophysical Phenomena - Abstract
High-energy neutrinos could be produced in the interaction of charged cosmic rays with matter or radiation surrounding astrophysical sources. To look for transient sources associated with neutrino emission, a follow-up program of neutrino alerts has been operating within the ANTARES Collaboration since 2009. This program, named TAToO, has triggered robotic optical telescopes (MASTER, TAROT, ROTSE and the SVOM ground based telescopes) immediately after the detection of any relevant neutrino candidate and scheduled several observations in the weeks following the detection. A subset of ANTARES events with highest probabilities of being of cosmic origin has also been followed by the Swift and the INTEGRAL satellites, the Murchison Widefield Array radio telescope and the H.E.S.S. high-energy gamma-ray telescope. The results of twelve years of observations are reported. No optical counterpart has been significantly associated with an ANTARES candidate neutrino signal during image analysis. Constraints on transient neutrino emission have been set. In September 2015, ANTARES issued a neutrino alert and during the follow-up, a potential transient counterpart was identified by Swift and MASTER. A multi-wavelength follow-up campaign has allowed to identify the nature of this source and has proven its fortuitous association with the neutrino. The return of experience is particularly important for the design of the alert system of KM3NeT, the next generation neutrino telescope in the Mediterranean Sea., Comment: 27 pages, 14 figures, submitted to JCAP
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- 2024
4. EUSO-SPB1 Mission and Science
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Collaboration, JEM-EUSO, Abdellaoui, G., Abe, S., Adams. Jr., J. H., Allard, D., Alonso, G., Anchordoqui, L., Anzalone, A., Arnone, E., Asano, K., Attallah, R., Attoui, H., Pernas, M. Ave, Bachmann, R., Bacholle, S., Bagheri, M., Bakiri, M., Baláz, J., Barghini, D., Bartocci, S., Battisti, M., Bayer, J., Beldjilali, B., Belenguer, T., Belkhalfa, N., Bellotti, R., Belov, A. A., Benmessai, K., Bertaina, M., Bertone, P. F., Biermann, P. L., Bisconti, F., Blaksley, C., Blanc, N., Blin-Bondil, S., Bobik, P., Bogomilov, M., Bolmgren, K., Bozzo, E., Briz, S., Bruno, A., Caballero, K. S., Cafagna, F., Cambié, G., Campana, D., Capdevielle, J. N., Capel, F., Caramete, A., Caramete, L., Caruso, R., Casolino, M., Cassardo, C., Castellina, A., Catalano, O., Cellino, A., Černý, K., Chikawa, M., Chiritoi, G., Christl, M. J., Colalillo, R., Conti, L., Cotto, G., Crawford, H. J., Cremonini, R., Creusot, A., Cummings, A., Gónzalez, A. de Castro, de la Taille, C., del Peral, L., Desiato, J., Damian, A. Diaz, Diesing, R., Dinaucourt, P., Djakonow, A., Djemil, T., Ebersoldt, A., Ebisuzaki, T., Eser, J., Fenu, F., Fernández-González, S., Ferrarese, S., Filippatos, G., Finch, W., Fornaro, C., Fouka, M., Franceschi, A., Franchini, S., Fuglesang, C., Fujii, T., Fukushima, M., Galeotti, P., García-Ortega, E., Gardiol, D., Garipov, G. K., Gascón, E., Gazda, E., Genci, J., Golzio, A., Gorodetzky, P., Gregg, R., Green, A., Guarino, F., Guépin, C., Guzmán, A., Hachisu, Y., Haungs, A., Heigbes, T., Carretero, J. Hernández, Hulett, L., Ikeda, D., Inoue, N., Inoue, S., Isgrò, F., Itow, Y., Jammer, T., Jeong, S., Jochum, J., Joven, E., Judd, E. G., Jung, A., Kajino, F., Kajino, T., Kalli, S., Kaneko, I., Kasztelan, M., Katahira, K., Kawai, K., Kawasaki, Y., Kedadra, A., Khales, H., Khrenov, B. A., Kim, Jeong-Sook, Kim, Soon-Wook, Kleifges, M., Klimov, P. A., Kreykenbohm, I., Krizmanic, J. F., Królik, K., Kungel, V., Kurihara, Y., Kusenko, A., Kuznetsov, E., Lahmar, H., Lakhdari, F., Licandro, J., Campano, L. López, Martínez, F. López, Mackovjak, S., Mahdi, M., Mandát, D., Manfrin, M., Marcelli, L., Marcos, J. L., Marszał, W., Martín, Y., Martinez, O., Mase, K., Mastafa, M., Matthews, J. N., Mebarki, N., Medina-Tanco, G., Menshikov, A., Merino, A., Mese, M., Meseguer, J., Meyer, S. S., Mimouni, J., Miyamoto, H., Mizumoto, Y., Monaco, A., Ríos, J. A. Morales de los, Nachtman, J. M., Nagataki, S., Naitamor, S., Napolitano, T., Neronov, A., Nomoto, K., Nonaka, T., Ogawa, T., Ogio, S., Ohmori, H., Olinto, A. V., Onel, Y., Osteria, G., Otte, A. N., Pagliaro, A., Painter, W., Panasyuk, M. I., Panico, B., Parizot, E., Park, I. H., Pastircak, B., Paul, T., Pech, M., Pérez-Grande, I., Perfetto, F., Peter, T., Picozza, P., Pindado, S., Piotrowski, L. W., Piraino, S., Plebaniak, Z., Pollini, A., Popescu, E. M., Prevete, R., Prévôt, G., Prieto, H., Przybylak, M., Puehlhofer, G., Putis, M., Reardon, P., Reno, M. H., Reyes, M., Ricci, M., Frías, M. D. Rodríguez, Matamala, O. F. Romero, Ronga, F., Sabau, M. D., Saccá, G., Sagawa, H., Sahnoune, Z., Saito, A., Sakaki, N., Salazar, H., Sánchez, J. L., Balanzar, J. C. Sanchez, Santangelo, A., Sanz-Andrés, A., Saprykin, O. A., Sarazin, F., Sato, M., Scagliola, A., Schanz, T., Schieler, H., Schovánek, P., Scotti, V., Serra, M., Sharakin, S. A., Shimizu, H. M., Shinozaki, K., Soriano, J. F., Sotgiu, A., Stan, I., Strharský, I., Sugiyama, N., Supanitsky, D., Suzuki, M., Szabelski, J., Tajima, N., Tajima, T., Takahashi, Y., Takeda, M., Takizawa, Y., Talai, M. C., Tameda, Y., Tenzer, C., Thomas, S. B., Tibolla, O., Tkachev, L. G., Tomida, T., Tone, N., Toscano, S., Traïche, M., Tsunesada, Y., Tsuno, K., Turriziani, S., Uchihori, Y., Valdés-Galicia, J. F., Vallania, P., Valore, L., Vankova-Kirilova, G., Venters, T. M., Vigorito, C., Villaseñor, L., Vlcek, B., von Ballmoos, P., Vrabel, M., Wada, S., Watanabe, J., Watts. Jr., J., Muñoz, R. Weigand, Weindl, A., Wiencke, L., Wille, M., Wilms, J., Yamamoto, T., Yang, J., Yano, H., Yashin, I. V., Yonetoku, D., Yoshida, S., Young, R., Zgura, I. S., Zotov, M. Yu., and Marchi, A. Zuccaro
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Astrophysics - Instrumentation and Methods for Astrophysics ,Astrophysics - High Energy Astrophysical Phenomena - Abstract
The Extreme Universe Space Observatory on a Super Pressure Balloon 1 (EUSO-SPB1) was launched in 2017 April from Wanaka, New Zealand. The plan of this mission of opportunity on a NASA super pressure balloon test flight was to circle the southern hemisphere. The primary scientific goal was to make the first observations of ultra-high-energy cosmic-ray extensive air showers (EASs) by looking down on the atmosphere with an ultraviolet (UV) fluorescence telescope from suborbital altitude (33~km). After 12~days and 4~hours aloft, the flight was terminated prematurely in the Pacific Ocean. Before the flight, the instrument was tested extensively in the West Desert of Utah, USA, with UV point sources and lasers. The test results indicated that the instrument had sensitivity to EASs of approximately 3 EeV. Simulations of the telescope system, telescope on time, and realized flight trajectory predicted an observation of about 1 event assuming clear sky conditions. The effects of high clouds were estimated to reduce this value by approximately a factor of 2. A manual search and a machine-learning-based search did not find any EAS signals in these data. Here we review the EUSO-SPB1 instrument and flight and the EAS search., Comment: 18 pages, 19 figures
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- 2024
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5. Whole genome‐wide sequence analysis of long‐lived families (Long‐Life Family Study) identifies MTUS2 gene associated with late‐onset Alzheimer's disease
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Xicota, Laura, Cosentino, Stephanie, Vardarajan, Badri, Mayeux, Richard, Perls, Thomas T, Andersen, Stacy L, Zmuda, Joseph M, Thyagarajan, Bharat, Yashin, Anatoli, Wojczynski, Mary K, Krinsky‐McHale, Sharon, Handen, Benjamin L, Christian, Bradley T, Head, Elizabeth, Mapstone, Mark E, Schupf, Nicole, Lee, Joseph H, Barral, Sandra, Study, the Long‐Life Family, Abner, Erin, Adams, Perrie M, Aguirre, Alyssa, Albert, Marilyn S, Albin, Roger L, Allen, Mariet, Alvarez, Lisa, Andrews, Howard, Apostolova, Liana G, Arnold, Steven E, Asthana, Sanjay, Atwood, Craig S, Ayres, Gayle, Barber, Robert C, Barnes, Lisa L, Bartlett, Jackie, Beach, Thomas G, Becker, James T, Beecham, Gary W, Benchek, Penelope, Bennett, David A, Bertelson, John, Biber, Sarah A, Bird, Thomas D, Blacker, Deborah, Boeve, Bradley F, Bowen, James D, Boxer, Adam, Brewer, James B, Burke, James R, Burns, Jeffrey M, Bush, William S, Buxbaum, Joseph D, Byrd, Goldie, Cantwell, Laura B, Cao, Chuanhai, Carlsson, Cynthia M, Carrasquillo, Minerva M, Chan, Kwun C, Chasse, Scott, Chen, Yen‐Chi, Chesselet, Marie‐Francoise, Chin, Nathaniel A, Chui, Helena C, Chung, Jaeyoon, Craft, Suzanne, Crane, Paul K, Cranney, Marissa, Cruchaga, Carlos, Cuccaro, Michael L, Culhane, Jessica, Cullum, C Munro, Darby, Eveleen, Davis, Barbara, De Jager, Philip L, DeCarli, Charles, DeToledo, John C, Dickson, Dennis W, Dobbins, Nic, Duara, Ranjan, Ertekin‐Taner, Nilufer, Evans, Denis A, Faber, Kelley M, Fairchild, Thomas J, Fallin, Daniele, Fallon, Kenneth B, Fardo, David W, Farlow, Martin R, Farrell, John, Farrer, Lindsay A, Fernandez‐Hernandez, Victoria, Foroud, Tatiana M, Frosch, Matthew P, Galasko, Douglas R, Gamboa, Adriana, Gauthreaux, Kathryn M, Gefen, Tamar, Geschwind, Daniel H, Ghetti, Bernardino, and Gilbert, John R
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Biomedical and Clinical Sciences ,Biological Psychology ,Clinical Sciences ,Neurosciences ,Psychology ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Acquired Cognitive Impairment ,Neurodegenerative ,Brain Disorders ,Dementia ,Alzheimer's Disease ,Human Genome ,Biotechnology ,Aging ,Genetics ,2.1 Biological and endogenous factors ,Aetiology ,Neurological ,Humans ,Alzheimer Disease ,Amyloid beta-Peptides ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Microtubule-Associated Proteins ,Polymorphism ,Single Nucleotide ,Sequence Analysis ,genetic risk ,late-onset Alzheimer's disease ,microtubule protein ,MTUS2 gene ,whole genome sequence ,Long‐Life Family Study ,Alzheimer's Disease Genetic Consortium ,Alzheimer's Biomarkers Consortium‐Down Syndrome ,late‐onset Alzheimer's disease ,Geriatrics ,Clinical sciences ,Biological psychology - Abstract
IntroductionLate-onset Alzheimer's disease (LOAD) has a strong genetic component. Participants in Long-Life Family Study (LLFS) exhibit delayed onset of dementia, offering a unique opportunity to investigate LOAD genetics.MethodsWe conducted a whole genome sequence analysis of 3475 LLFS members. Genetic associations were examined in six independent studies (N = 14,260) with a wide range of LOAD risk. Association analysis in a sub-sample of the LLFS cohort (N = 1739) evaluated the association of LOAD variants with beta amyloid (Aβ) levels.ResultsWe identified several single nucleotide polymorphisms (SNPs) in tight linkage disequilibrium within the MTUS2 gene associated with LOAD (rs73154407, p = 7.6 × 10-9). Association of MTUS2 variants with LOAD was observed in the five independent studies and was significantly stronger within high levels of Aβ42/40 ratio compared to lower amyloid.DiscussionMTUS2 encodes a microtubule associated protein implicated in the development and function of the nervous system, making it a plausible candidate to investigate LOAD biology.HighlightsLong-Life Family Study (LLFS) families may harbor late onset Alzheimer's dementia (LOAD) variants. LLFS whole genome sequence analysis identified MTUS2 gene variants associated with LOAD. The observed LLFS variants generalized to cohorts with wide range of LOAD risk. The association of MTUS2 with LOAD was stronger within high levels of beta amyloid. Our results provide evidence for MTUS2 gene as a novel LOAD candidate locus.
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- 2024
6. JEM-EUSO Collaboration contributions to the 38th International Cosmic Ray Conference
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Abe, S., Adams Jr., J. H., Allard, D., Alldredge, P., Aloisio, R., Anchordoqui, L., Anzalone, A., Arnone, E., Bagheri, M., Baret, B., Barghini, D., Battisti, M., Bellotti, R., Belov, A. A., Bertaina, M., Bertone, P. F., Bianciotto, M., Bisconti, F., Blaksley, C., Blin-Bondil, S., Bolmgren, K., Briz, S., Burton, J., Cafagna, F., Cambiè, G., Campana, D., Capel, F., Caruso, R., Casolino, M., Cassardo, C., Castellina, A., Černý, K., Christl, M. J., Colalillo, R., Conti, L., Cotto, G., Crawford, H. J., Cremonini, R., Creusot, A., Cummings, A., Gónzalez, A. de Castro, de la Taille, C., Diesing, R., Dinaucourt, P., Di Nola, A., Ebisuzaki, T., Eser, J., Fenu, F., Ferrarese, S., Filippatos, G., Finch, W. W., Flaminio, F., Fornaro, C., Fuehne, D., Fuglesang, C., Fukushima, M., Gadamsetty, S., Gardiol, D., Garipov, G. K., Gazda, E., Golzio, A., Guarino, F., Guépin, C., Haungs, A., Heibges, T., Isgrò, F., Judd, E. G., Kajino, F., Kaneko, I., Kim, S. -W., Klimov, P. A., Krizmanic, J. F., Kungel, V., Kuznetsov, E., Martínez, F. López, Mandát, D., Manfrin, M., Marcelli, A., Marcelli, L., Marszał, W., Matthews, J. N., Mese, M., Meyer, S. S., Mimouni, J., Miyamoto, H., Mizumoto, Y., Monaco, A., Nagataki, S., Nachtman, J. M., Naumov, D., Neronov, A., Nonaka, T., Ogawa, T., Ogio, S., Ohmori, H., Olinto, A. V., Onel, Y., Osteria, G., Otte, A. N., Pagliaro, A., Panico, B., Parizot, E., Park, I. H., Paul, T., Pech, M., Perfetto, F., Picozza, P., Piotrowski, L. W., Plebaniak, Z., Posligua, J., Potts, M., Prevete, R., Prévôt, G., Przybylak, M., Reali, E., Reardon, P., Reno, M. H., Ricci, M., Matamala, O. F. Romero, Romoli, G., Sagawa, H., Sakaki, N., Saprykin, O. A., Sarazin, F., Sato, M., Schovánek, P., Scotti, V., Selmane, S., Sharakin, S. A., Shinozaki, K., Stepanoff, S., Soriano, J. F., Szabelski, J., Tajima, N., Tajima, T., Takahashi, Y., Takeda, M., Takizawa, Y., Thomas, S. B., Tkachev, L. G., Tomida, T., Toscano, S., Traïche, M., Trofimov, D., Tsuno, K., Vallania, P., Valore, L., Venters, T. M., Vigorito, C., Vrábel, M., Wada, S., Watts Jr., J., Wiencke, L., Winn, D., Wistrand, H., Yashin, I. V., Young, R., and Zotov, M. Yu.
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Astrophysics - High Energy Astrophysical Phenomena ,Astrophysics - Instrumentation and Methods for Astrophysics - Abstract
This is a collection of papers presented by the JEM-EUSO Collaboration at the 38th International Cosmic Ray Conference (Nagoya, Japan, July 26-August 3, 2023)
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- 2023
7. Assessing the Impact of Digital Economy Programs on Alleviating Skill Shortages in the EU Labor Market for Digital Professionals
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Aksenova, Zhanna A., Yashin, Sergey N., Markova, Olga M., Chudaeva, Alexandra A., and Alieva, Patimat R.
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- 2024
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8. Modern Approaches to the Description of the Dynamics of Cavitation Bubbles and Cavitation Clouds
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Margulis, I. M., Polovinkin, V. N., and Yashin, A. I.
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- 2024
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9. Effect of Plasma Toroidal Rotation on Toroidal Alfvén Eigenmode Spectrum in Globus-M2 Spherical Tokamak
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Balachenkov, I. M., Petrov, Yu. V., Gusev, V. K., Bakharev, N. N., Zhiltsov, N. S., Kurskiev, G. S., Minaev, V. B., Miroshnikov, I. V., Ponomarenko, A. M., Sakharov, N. V., Telnova, A. Yu., Tkachenko, E. E., Shchegolev, P. B., and Yashin, A. Yu.
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- 2024
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10. Search for High-Energy Gamma Quanta from the Cygnus Cocoon Source in October–November 2020
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Okuneva, E., Sveshnikova, L., Astapov, I., Bezyazykov, P., Blinov, A., Borodin, A., Bonvech, E., Budnev, N., Bulan, A., Busygin, P., Vaidyanatan, A., Volkov, N., Volchugov, P., Voronin, D., Gafarov, A., Gres, E., Gres, O., Gres, T., Grishin, O., Garmash, A., Grebenyuk, V., Grinyuk, A., Dyachok, A., Zhurov, D., Zagorodnikov, A., Ivanova, A., Ivanova, A., Ilyushin, M., Kalmykov, N., Kindin, V., Kiryukhin, V., Kokoulin, R., Kolosov, N., Kompaniets, K., Korosteleva, E., Kozhin, V., Kravchenko, E., Kryukov, A., Kuzmichev, L., Chiavassa, A., Lavrova, M., Lagutin, A., Lemeshev, Y., Lubsandorzhiev, B., Lubsandorzhiev, N., Malakhov, S., Mirgazov, R., Monkhoev, R., Osipova, E., Pakhorukov, A., Pan, A., Panov, A., Pankov, L., Petrukhin, A., Podgrudkov, D., Poddubny, I., Popova, E., Postnikov, E., Prosin, V., Ptuskin, V., Pushnin, A., Razumov, A., Raikin, R., Rubtsov, G., Ryabov, E., Samoliga, V., Satyshev, I., Silaev, A., Silaev, Jr., A., Sidorenkov, A., Skurikhin, A., Sokolov, A., Tabolenko, V., Tanaev, A., Ternovoy, M., Tkachev, L., Ushakov, N., Chernov, D., and Yashin, I.
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- 2024
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11. Developments and results in the context of the JEM-EUSO program obtained with the ESAF Simulation and Analysis Framework
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Abe, S., Adams Jr., J. H., Allard, D., Alldredge, P., Anchordoqui, L., Anzalone, A., Arnone, E., Baret, B., Barghini, D., Battisti, M., Bayer, J., Bellotti, R., Belov, A. A., Bertaina, M., Bertone, P. F., Bianciotto, M., Biermann, P. L., Bisconti, F., Blaksley, C., Blin-Bondil, S., Bobik, P., Bolmgren, K., Briz, S., Burton, J., Cafagna, F., Cambié, G., Campana, D., Capel, F., Caruso, R., Casolino, M., Cassardo, C., Castellina, A., Černý, K., Christl, M. J., Colalillo, R., Conti, L., Cotto, G., Crawford, H. J., Cremonini, R., Creusot, A., Cummings, A., Gónzalez, A. de Castro, de la Taille, C., del Peral, L., Diesing, R., Dinaucourt, P., Di Nola, A., Ebersoldt, A., Ebisuzaki, T., Eser, J., Fenu, F., Ferrarese, S., Filippatos, G., Finch, W. W., Flaminio, F., Fornaro, C., Fuehne, D., Fuglesang, C., Fukushima, M., Gardiol, D., Garipov, G. K., Golzio, A., Gorodetzky, P., Guarino, F., Guépin, C., Guzmán, A., Haungs, A., Heibges, T., Hernández-Carretero, J., Isgrò, F., Judd, E. G., Kajino, F., Kaneko, I., Kawasaki, Y., Kleifges, M., Klimov, P. A., Kreykenbohm, I., Krizmanic, J. F., Kungel, V., Kuznetsov, E., Martínez, F. López, Mackovjak, S., Mandát, D., Manfrin, M., Marcelli, A., Marcelli, L., Marszał, W., Matthews, J. N., Menshikov, A., Mernik, T., Mese, M., Meyer, S. S., Mimouni, J., Miyamoto, H., Mizumoto, Y., Monaco, A., Ríos, J. A Morales de los, Nagataki, S., Nachtman, J. M., Naumov, D., Neronov, A., Nonaka, T., Ogawa, T., Ogio, S., Ohmori, H., Olinto, A. V., Onel, Y., Osteria, G., Pagliaro, A., Panico, B., Parizot, E., Park, I. H., Pastircak, B., Paul, T., Pech, M., Perfetto, F., Picozza, P., Piotrowski, L. W., Plebaniak, Z., Posligua, J., Prevete, R., Prévôt, G., Prieto, H., Przybylak, M., Putis, M., Reali, E., Reardon, P., Reno, M. H., Ricci, M., Frías, M. Rodríguez, Romoli, G., Cano, G. Sáez, Sagawa, H., Sakaki, N., Santangelo, A., Saprykin, O. A., Sarazin, F., Sato, M., Schieler, H., Schovánek, P., Scotti, V., Selmane, S., Sharakin, S. A., Shinozaki, K., Soriano, J. F., Szabelski, J., Tajima, N., Tajima, T., Takahashi, Y., Takeda, M., Takizawa, Y., Tenzer, C., Thomas, S. B., Tkachev, L. G., Tomida, T., Toscano, S., Traïche, M., Trofimov, D., Tsuno, K., Vallania, P., Valore, L., Venters, T. M., Vigorito, C., von Ballmoos, P., Vrabel, M., Wada, S., Watts Jr., J., Weindl, A., Wiencke, L., Wilms, J., Winn, D., Wistrand, H., Yashin, I. V., Young, R., and Zotov, M. Yu.
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Astrophysics - Instrumentation and Methods for Astrophysics ,High Energy Physics - Experiment - Abstract
JEM--EUSO is an international program for the development of space-based Ultra-High Energy Cosmic Ray observatories. The program consists of a series of missions which are either under development or in the data analysis phase. All instruments are based on a wide-field-of-view telescope, which operates in the near-UV range, designed to detect the fluorescence light emitted by extensive air showers in the atmosphere. We describe the simulation software ESAFin the framework of the JEM--EUSO program and explain the physical assumptions used. We present here the implementation of the JEM--EUSO, POEMMA, K--EUSO, TUS, Mini--EUSO, EUSO--SPB1 and EUSO--TA configurations in ESAF. For the first time ESAF simulation outputs are compared with experimental data.
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- 2023
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12. Characterization of non-adaptive Clifford channels
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Yashin, Vsevolod I. and Elovenkova, Maria A.
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Quantum Physics ,81P68, 81P47, 81P45 - Abstract
Stabilizer circuits arise in almost every area of quantum computation and communication, so there is an interest in studying them from information-theoretic perspective, i.e. as quantum channels. We consider several natural approaches to what can be called a Clifford channel: the channel that can be realised by a stabilizer circuit without classical control, the channel that sends pure stabilizer states to mixed stabilizer states, the channel with stabilizer Choi state, the channel whose Stinespring dilation can have a Clifford unitary. We show the equivalence of these definitions. Up to unitary encoding and decoding maps any Clifford channel is a product of stabilizer state preparations, qubit discardings, identity channels and full dephasing channels. This simple structure allows to compute information capacities of such channels., Comment: 12 pages, two columns, improvement to presentation
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- 2023
13. Neural Network Modeling of the Motivation of Top Management of Regional Management Structures as a Regression Problem
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Yashin, Sergey N., Koshelev, Egor V., Denisov, Evgeniy Yu., Kozlova, Elena P., and Polyanskaya, Viktoriya A.
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- 2024
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14. Robot remote control using virtual reality headset: studying sense of agency with subjective distance estimates
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Yashin, Artem S., Lavrov, Daniil S., Melnichuk, Eugeny V., Karpov, Valery V., Zhao, Darisy G., and Dubynin, Ignat A.
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- 2024
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15. Large-scale genomic analysis of Elizabethkingia anophelis
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Pavel Andriyanov, Pavel Zhurilov, Alena Menshikova, Anastasia Tutrina, Ivan Yashin, and Daria Kashina
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Elizabethkingia anophelis ,Emerging pathogen ,Genomics ,Antimicrobial resistance ,Virulence ,Biotechnology ,TP248.13-248.65 ,Genetics ,QH426-470 - Abstract
Abstract The recent emergence of Elizabethkingia anophelis as a human pathogen is a major concern for global public health. This organism has the potential to cause severe infections and has inherent antimicrobial resistance. The potential for widespread outbreaks and rapid global spread highlights the critical importance of understanding the biology and transmission dynamics of this infectious agent. We performed a large-scale analysis of available 540 E. anophelis, including one novel strain isolated from raw milk and sequenced in this study. Pan-genome analysis revealed an open and diverse pan-genome in this species, characterized by the presence of many accessory genes. This suggests that the species has a high level of adaptability and can thrive in a variety of environments. Phylogenetic analysis has also revealed a complex population structure, with limited source-lineage correlation. We identified diverse antimicrobial resistance factors, including core-genome and accessory ones often associated with mobile genetic elements within specific lineages. Mobilome analysis revealed a dynamic landscape primarily composed of genetic islands, integrative and conjugative elements, prophage elements, and small portion of plasmids emphasizing a complex mechanism of horizontal gene transfer. Our study underscores the adaptability of E. anophelis, characterized by a diverse range of antimicrobial resistance genes, putative virulence factors, and genes enhancing fitness. This adaptability is also supported by the organism’s ability to acquire genetic material through horizontal gene transfer, primarily facilitated by mobile genetic elements such as integrative and conjugative elements (ICEs). The potential for rapid evolution of this emerging pathogen poses a significant challenge to public health efforts.
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- 2024
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16. Effects of minimally invasive endodontic access cavity in molar teeth on polymerization, porosity and fracture resistance
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Neda Ninkovic, Vanja Opacic Galic, Milos Milosevic, Isaak Trajkovic, Jovana Kuzmanovic Pficer, Danica Bajuk-Bogdanović, Petar Milovanovic, Dilara Yashin El-Bacha, Marija Djuric, and Vesna Miletic
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Access cavity ,Resin composites ,Glass ionomer ,Fracture resistance ,Degree of conversion ,MicroCT ,Medicine ,Science - Abstract
Abstract Minimally invasive access cavities have been proposed in the last decade to reduce tooth tissue loss during endodontic treatment and mitigate compromised fracture resistance of endodontically treated teeth. Fracture resistance of molars with different types of access cavity design may be affected by restorative materials and aging. Insufficient literature data exist on the effect of cavity design and type of restorative materials on restorative aspects such as material adaptation or photo-polymerization in restricted access cavities. This study analyses quality of polymerization, material adaptation and fracture resistance of molars with different types of access cavities restored with glass-ionomer, high-viscosity fiber-reinforced bulk-fill and nanofilled resin composite. Plastic molar teeth with truss (TREC) and traditional endodontic access cavity (TEC) were restored with nanofilled composite (Filtek Supreme), glass-ionomer Fuji IX and Filtek or fiber-reinforced everX Posterior and Filtek. Porosity was determined using microcomputer tomography and the degree of conversion of resin-based materals using micro-Raman spectroscopy. Human molars prepared and restored in the same way were used for fracture resistance testing at baseline and after thermocycling. The results demonstrate that high-viscosity fiber-reinforced composite was difficult to adapt in TREC cavity leading to greater porosity than Filtek or Fuji. TREC design did not affect composite polymerization and led to higher fracture resistance of restored molars compared to TEC but also more unrestorable fractures.
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- 2024
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17. Influence of the Work Environment on Workplace Learning of Undergraduate Engineering Interns
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Yashin Brijmohan
- Abstract
Internships are an impactful form of workplace learning that helps undergraduate engineering students acquire and enhance competencies to improve their employability. However, the nuances about what makes an internship successful are not well understood. Furthermore, learning during engineering internships has not been thoroughly researched. Previous literature has mostly focused on internship outcomes, and there is little discussion on how to improve internship experiences to achieve the expected outcomes. Thus, this qualitative study explored the workplace learning environment of internships and how engineering undergraduate students engaged with workplace learning. The study has produced a comprehensive framework that illustrates important factors in the workplace that influence learning. This framework can help guide the structuring of internships, and future research in this area. The study suggests that students approach learning differently when developing their professional versus technical competencies. The findings highlight areas in which students struggle with workplace learning and emphasize the need for improvements in undergraduate education programs. In addition, the findings offer valuable insights for students undertaking internships. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]
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- 2024
18. Minimizing the negativity of quantum circuits in overcomplete quasiprobability representations
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Kulikov, Denis A., Yashin, Vsevolod I., Fedorov, Aleksey K., and Kiktenko, Evgeniy O.
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Quantum Physics - Abstract
The problem of simulatability of quantum processes using classical resources plays a cornerstone role for quantum computing. Quantum circuits can be simulated classically, e.g., using Monte Carlo sampling techniques applied to quasiprobability representations of circuits' basic elements, i.e., states, gates, and measurements. The effectiveness of the simulation is determined by the amount of the negativity in the representation of these basic elements. Here we develop an approach for minimizing the total negativity of a given quantum circuit with respect to quasiprobability representations, that are overcomplete, i.e., are such that the dimensionality of corresponding quasistochastic vectors and matrices is larger than the squared dimension of quantum states. Our approach includes both optimization over equivalent quasistochastic vectors and matrices, which appear due to the overcompleteness, and optimization over overcomplete frames. We demonstrate the performance of the developed approach on some illustrative cases, and show its significant advantage compared to the standard overcomplete quasistochastic representations. We also study the negativity minimization of noisy brick-wall random circuits via a combination of increasing frame dimension and applying gate merging technique. We demonstrate that the former approach appears to be more efficient in the case of a strong decoherence., Comment: 15 pages, 8 figures
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- 2023
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19. Calibration of the NEVOD-EAS array for detection of extensive air showers
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Amelchakov, M. B., Bogdanov, A. G., Chiavassa, A., Dmitrieva, A. N., Gromushkin, D. M., Khomchuk, E. P., Khokhlov, S. S., Kokoulin, R. P., Kompaniets, K. G., Konovalova, A. Y., Mannocchi, G., Nugaeva, K. R., Petrukhin, A. A., Shulzhenko, I. A., Trinchero, G., Yashin, I. I., and Yuzhakova, E. A.
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Astrophysics - Instrumentation and Methods for Astrophysics ,Astrophysics - High Energy Astrophysical Phenomena - Abstract
In this paper we discuss the calibration of the NEVOD-EAS array which is a part of the Experimental Complex NEVOD, as well as the results of studying the response features of its scintillation detectors. We present the results of the detectors energy calibration, performed by comparing their response to different types of particles obtained experimentally and simulated with the Geant4 software package, as well as of the measurements of their timing resolution. We also discuss the results of studies of the light collection non-uniformity of the NEVOD-EAS detectors and of the accuracy of air-shower arrival direction reconstruction, which have been performed using other facilities of the Experimental Complex NEVOD: the muon hodoscope URAGAN and the coordinate-tracking detector DECOR., Comment: 16 pages, 17 figures, To be submitted to Nuclear Instruments and Methods A
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- 2023
20. Large-scale genomic analysis of Elizabethkingia anophelis
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Andriyanov, Pavel, Zhurilov, Pavel, Menshikova, Alena, Tutrina, Anastasia, Yashin, Ivan, and Kashina, Daria
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- 2024
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21. Effects of minimally invasive endodontic access cavity in molar teeth on polymerization, porosity and fracture resistance
- Author
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Ninkovic, Neda, Opacic Galic, Vanja, Milosevic, Milos, Trajkovic, Isaak, Kuzmanovic Pficer, Jovana, Bajuk-Bogdanović, Danica, Milovanovic, Petar, Yashin El-Bacha, Dilara, Djuric, Marija, and Miletic, Vesna
- Published
- 2024
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22. The SNP rs6859 in NECTIN2 gene is associated with underlying heterogeneous trajectories of cognitive changes in older adults
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Rajendrakumar, Aravind Lathika, Arbeev, Konstantin G., Bagley, Olivia, Yashin, Anatoliy I., and Ukraintseva, Svetlana
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- 2024
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23. Graves disease is associated with increased risk of clinical Alzheimer’s disease: evidence from the Medicare system
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Yashkin, Arseniy Pavlovich, Kolpakov, Stanislav, Ukraintseva, Svetlana, Yashin, Anatoliy, and Akushevich, Igor
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- 2024
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24. Application of Multi-Frequency Doppler Backscattering for Studying Edge Localized Modes at the Globus-M2 Tokamak
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Tokarev, A. Yu., Yashin, A. Yu., Ponomarenko, A. M., Gusev, V. K., Zhiltsov, N. S., Kurskiev, G. S., Minaev, V. B., Petrov, Yu. V., Sakharov, N. V., Solokha, V. V., and Velizhanin, V. A.
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- 2024
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25. Drift Tube Detector of a Hybrid Hodoscope for Muon Tomography of Large-Scale Objects
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Pasyuk, N. A., Borisov, A. A., Kompaniets, K. G., Kozhin, A. S., Fakhrutdinov, R. M., Tselinenko, M. Yu., Shutenko, V. V., and Yashin, I. I.
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- 2024
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26. Concept of the Doppler Backscattering Diagnostic on TRT
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Yashin, A. Yu., Ponomarenko, A. M., Solokha, V. V., Rozhkov, S. S., and Kharchevskii, A. A.
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- 2024
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27. Features of Magnetooptical Spectra of the Transverse Kerr Effect in CoPt Nanostructures
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Yurasov, A. N., Yashin, M. M., Saifulina, D. A., and Bakhvalova, T. N.
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- 2024
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28. HspBP1 in Complex with the Peptide of the Innate Immunity Protein Tag7 is Able to Lyse Tumor Cells Carrying TNFR1 Receptor
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Romanova, E. A., Yurkina, D. M., Yashin, D. V., Sashchenko, L. P., and Georgiev, G. P.
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- 2024
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29. Arveson’s Extension Theorem for Conditionally Unital Completely Positive Maps
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Yashin, Vsevolod I.
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- 2024
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30. Distinctive Features of Measuring Te and ne Spatial Distributions in the Globus-M2 Spherical Tokamak Using Method of Thomson Scattering of Laser Radiation
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Zhiltsov, N. S., Kurskiev, G. S., Solovey, V. A., Tkachenko, E. E., Tolstyakov, S. Yu., Balachenkov, I. M., Bakharev, N. N., Varfolomeev, V. I., Voronin, A. V., Gusev, V. K., Goryainov, V. Yu., D’yachenko, V. V., Ermakov, N. V., Kavin, A. A., Kiselev, E. O., Konovalov, A. N., Krikunov, S. V., Minaev, V. B., Mineev, A. B., Miroshnikov, I. V., Mukhin, E. E., Novokhatsky, A. N., Patrov, M. I., Petrov, Yu. V., Ponomarenko, A. M., Sakharov, N. V., Skrekel’, O. M., Solokha, V. V., Telnova, A. Yu., Tokarev, V. A., Tukhmeneva, E. A., Filippov, S. V., Khromov, N. A., Shchegolev, P. B., Shulyatiev, K. D., and Yashin, A. Yu.
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- 2024
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31. When is Human–Robot Joint Agency Effective? The Case of Cooperative Reaction Games
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Yashin, Artem S., Stolyarova, Anastasiya N., Melnichuk, Eugeni V., Arinkin, Nikita A., Zinina, Anna A., Zhao, Darisy G., and Kotov, Artemiy A.
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- 2024
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32. Training Transitive and Commutative Multimodal Transformers with LoReTTa
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Tran, Manuel, Cid, Yashin Dicente, Lahiani, Amal, Theis, Fabian J., Peng, Tingying, and Klaiman, Eldad
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Computer Science - Artificial Intelligence ,Computer Science - Computer Vision and Pattern Recognition - Abstract
Training multimodal foundation models is challenging due to the limited availability of multimodal datasets. While many public datasets pair images with text, few combine images with audio or text with audio. Even rarer are datasets that align all three modalities at once. Critical domains such as healthcare, infrastructure, or transportation are particularly affected by missing modalities. This makes it difficult to integrate all modalities into a large pre-trained neural network that can be used out-of-the-box or fine-tuned for different downstream tasks. We introduce LoReTTa (Linking mOdalities with a tRansitive and commutativE pre-Training sTrAtegy) to address this understudied problem. Our self-supervised framework unifies causal modeling and masked modeling with the rules of commutativity and transitivity. This allows us to transition within and between modalities. As a result, our pre-trained models are better at exploring the true underlying joint probability distribution. Given a dataset containing only the disjoint combinations (A, B) and (B, C), LoReTTa can model the relation A <-> C with A <-> B <-> C. In particular, we show that a transformer pre-trained with LoReTTa can handle any mixture of modalities at inference time, including the never-seen pair (A, C) and the triplet (A, B, C). We extensively evaluate our approach on a synthetic, medical, and reinforcement learning dataset. Across different domains, our universal multimodal transformer consistently outperforms strong baselines such as GPT, BERT, and CLIP on tasks involving the missing modality tuple., Comment: Accepted at NeurIPS 2023 (poster). Camera-ready version
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- 2023
33. Three-stage Collapse of the Long Gamma-Ray Burst from GRB 160625B Prompt Multiwavelength Observations
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Lipunov, V. M., Sadovnichy, V. A., Panasyuk, M. I., Yashin, I. V., Svertilov, S. I., Simakov, S. G., Svinkin, D., Gorbovskoy, E., Lipunova, G. V., Kornilov, V. G., Frederiks, D., Topolev, V., Rebolo, R., Serra, M., Tiurina, N., Minkina, E., Bogomolov, V. V., Bogomolov, A. V., Iyudin, A. F., Chasovnikov, A., Gabovich, A., Tsvetkova, A., Budnev, N. M., Gress, O. A., Antipov, G., Gorbunov, I., Vlasenko, D., Balanutsa, P., Podesta, R., Zhirkov, K., Kuznetsov, A., Vladimirov, V., Podesta, F., Francile, C., Sergienko, Yu., Tlatov, A., Ershova, O., Cheryasov, D., Yurkov, V., and Krylov, A. V.
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Astrophysics - High Energy Astrophysical Phenomena - Abstract
This article presents the early results of synchronous multiwavelength observations of one of the brightest gamma-ray bursts (GRBs) GRB 160625B with the detailed continuous fast optical photometry of its optical counterpart obtained by MASTER and with hard X-ray and gamma-ray emission, obtained by the Lomonosov and Konus-Wind spacecraft. The detailed photometry led us to detect the quasi-periodical emission components in the intrinsic optical emission. As a result of our analysis of synchronous multiwavelength observations, we propose a three-stage collapse scenario for this long and bright GRB. We suggest that quasiperiodic fluctuations may be associated with forced precession of a self-gravitating rapidly rotating superdense body (spinar), whose evolution is determined by a powerful magnetic field. The spinar's mass allows it to collapse into a black hole at the end of evolution., Comment: 22 pages, 12 figures, 4 tables, accepted for publication in ApJ
- Published
- 2023
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34. Controlling for Postpartum Amenorrhea and Heterogeneity in the Analysis of Fecundability Using Birth Interval Data: A Simulation Study with Application to Hutterite Reproductive Histories
- Author
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Larsen, Ulla, Yan, Sharon, and Yashin, Anatoli I
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- 2004
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35. Metabolite signatures of chronological age, aging, survival, and longevity
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Paola Sebastiani, Stefano Monti, Michael S. Lustgarten, Zeyuan Song, Dylan Ellis, Qu Tian, Michaela Schwaiger-Haber, Ethan Stancliffe, Anastasia Leshchyk, Meghan I. Short, Andres V. Ardisson Korat, Anastasia Gurinovich, Tanya Karagiannis, Mengze Li, Hannah J. Lords, Qingyan Xiang, Megan M. Marron, Harold Bae, Mary F. Feitosa, Mary K. Wojczynski, Jeffrey R. O’Connell, May E. Montasser, Nicole Schupf, Konstantin Arbeev, Anatoliy Yashin, Nicholas Schork, Kaare Christensen, Stacy L. Andersen, Luigi Ferrucci, Noa Rappaport, Thomas T. Perls, and Gary J. Patti
- Subjects
CP: Metabolism ,Biology (General) ,QH301-705.5 - Abstract
Summary: Metabolites that mark aging are not fully known. We analyze 408 plasma metabolites in Long Life Family Study participants to characterize markers of age, aging, extreme longevity, and mortality. We identify 308 metabolites associated with age, 258 metabolites that change over time, 230 metabolites associated with extreme longevity, and 152 metabolites associated with mortality risk. We replicate many associations in independent studies. By summarizing the results into 19 signatures, we differentiate between metabolites that may mark aging-associated compensatory mechanisms from metabolites that mark cumulative damage of aging and from metabolites that characterize extreme longevity. We generate and validate a metabolomic clock that predicts biological age. Network analysis of the age-associated metabolites reveals a critical role of essential fatty acids to connect lipids with other metabolic processes. These results characterize many metabolites involved in aging and point to nutrition as a source of intervention for healthy aging therapeutics.
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- 2024
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36. Is being overweight a causal factor in better survival among the oldest old? a Mendelian randomization study
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Hongzhe Duan, Konstantin Arbeev, Rachel Holmes, Olivia Bagley, Deqing Wu, Igor Akushevich, Nicole Schupf, Anatoliy Yashin, and Svetlana Ukraintseva
- Subjects
overweight ,longevity ,Mendelian randomization ,instrumental variable ,health and retirement study ,long life family study ,Geriatrics ,RC952-954.6 - Abstract
Overweight, defined by a body mass index (BMI) between 25 and 30, has been associated with enhanced survival among older adults in some studies. However, whether being overweight is causally linked to longevity remains unclear. To investigate this, we conducted a Mendelian randomization (MR) study of lifespan 85+ years, using overweight as an exposure variable and data from the Health and Retirement Study and the Long Life Family Study. An essential aspect of MR involves selecting appropriate single nucleotide polymorphisms (SNPs) as instrumental variables (IVs). This is challenging due to the limited number of SNP candidates within biologically relevant genes that can satisfy all necessary assumptions and criteria. To address this challenge, we employed a novel strategy of creating additional IVs by pairing SNPs between candidate genes. This strategy allowed us to expand the pool of IV candidates with new “composite” SNPs derived from eight candidate obesity genes. Our study found that being overweight between ages 75 and 85, compared to having a normal weight (BMI 18.5-24.9), significantly contributes to improved survival beyond age 85. Results of this MR study thus support a causal relationship between overweight and longevity in older adults.
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- 2024
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37. Issues of execution of criminal penalties in the form of correctional and compulsory labor
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A.V. Yashin
- Subjects
criminal punishment ,correctional work ,compulsory work ,execution of sentences ,employer ,employment ,criminal behavior ,penal inspection ,local government ,convicts ,Law ,Sociology (General) ,HM401-1281 - Abstract
Background. In the Russian Federation, correctional and compulsory labor are the most common types of criminal penalties that are not associated with the isolation of convicted persons from society. According to official statistics, over the past five years, almost a quarter of the total number of convicts have been sentenced by courts to these types of punishments. However, law enforcement officers often face organizational and legal difficulties that complicate their activities in carrying out correctional and compulsory labor. As a result, the study of issues of execution of these types of criminal penalties seems relevant both in theoretical and applied aspects. The purpose of the work is to identify the most common problems in the execution of correctional and compulsory labor and to propose effective ways to resolve them. Materials and methods. The article used scientific works on the analyzed issues, materials from judicial practice, official statistics, as well as the results of the author’s research. The methodological basis was the universal dialectical method of cognition. Also, when preparing the article, the following methods were implemented: logical, formal legal, sociological, statistical, expert assessments. Results. In the course of the study, recommendations were proposed aimed at increasing the efficiency of the activities of penal inspections in the execution of correctional and compulsory labor. Conclusion. It is concluded that the main difficulties in the execution of the considered types of punishments lie in the difficulty of finding employment for convicts sentenced to correctional labor and insufficient control over the performance of compulsory labor by convicts. In order to resolve them, it is recommended to make changes and additions to the relevant regulatory legal acts.
- Published
- 2024
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38. Modeling the Motivation of Top Management of the Governing Structures of the Regions Using Logistic Regression
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Yashin, Sergey N., Koshelev, Egor V., Sukhanov, Dmitrii A., Garina, Ekaterina P., Kozlova, Elena P., Pisello, Anna Laura, Editorial Board Member, Hawkes, Dean, Editorial Board Member, Bougdah, Hocine, Editorial Board Member, Rosso, Federica, Editorial Board Member, Abdalla, Hassan, Editorial Board Member, Boemi, Sofia-Natalia, Editorial Board Member, Mohareb, Nabil, Editorial Board Member, Mesbah Elkaffas, Saleh, Editorial Board Member, Bozonnet, Emmanuel, Editorial Board Member, Pignatta, Gloria, Editorial Board Member, Mahgoub, Yasser, Editorial Board Member, De Bonis, Luciano, Editorial Board Member, Kostopoulou, Stella, Editorial Board Member, Pradhan, Biswajeet, Editorial Board Member, Abdul Mannan, Md., Editorial Board Member, Alalouch, Chaham, Editorial Board Member, Gawad, Iman O., Editorial Board Member, Nayyar, Anand, Editorial Board Member, Amer, Mourad, Series Editor, Sergi, Bruno S., editor, Popkova, Elena G., editor, Ostrovskaya, Anna A., editor, Chursin, Alexander A., editor, and Ragulina, Yulia V., editor
- Published
- 2024
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39. Identification of Trends in the Digital Methodological Toolkit for the Analysis of Public Expenditure Financing to Improve the 'Electronic Budget' System
- Author
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Yashina, Nadezhda, Pronchatova-Rubtsova, Natalia, Kashina, Oksana, Yashin, Sergey, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Sari, Mustika, editor, and Kulachinskaya, Anastasia, editor
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- 2024
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40. The Choice of Evaluation Metrics in the Prediction of Epileptiform Activity
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Gromov, Nikolay, Lebedeva, Albina, Kipelkin, Ivan, Elshina, Oksana, Yashin, Konstantin, Smirnov, Lev, Levanova, Tatiana, Gerasimova, Svetlana, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Balandin, Dmitry, editor, Barkalov, Konstantin, editor, and Meyerov, Iosif, editor
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- 2024
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41. Description and performance results of the trigger logic of TUS and Mini-EUSO to search for Ultra-High Energy Cosmic Rays from space
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Bertaina, M., Barghini, D., Battisti, M., Belov, A., Bianciotto, M., Bisconti, F., Blaksley, C., Bolmgren, K., Cambie, G., Capel, F., Casolino, M., Ebisuzaki, T., Fenu, F., Franceschi, M. A., Fuglesang, C., Golzio, A., Gorodetzky, P., Kajino, F., Klimov, P., Manfrin, M., Marcelli, L., Marszal, W., Mignone, M., Miyamoto, H., Napolitano, T., Parizot, E., Picozza, P., Piotrowski, L. W., Plebaniak, Z., Prevot, G., Reali, E., Ricci, M., Sakaki, N., Sharakin, S., Szabelski, J., Takizawa, Y., Vrabel, M., Yashin, I., and Zotov, M.
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Astrophysics - Instrumentation and Methods for Astrophysics - Abstract
The trigger logic of the Tracking Ultraviolet Setup (TUS) and Multiwavelength Imaging New Instrument for the Extreme Universe Space Observatory (Mini-EUSO) space-based projects of the Joint Experiment Missions - EUSO (JEM-EUSO) program is summarized. The performance results on the search for ultra-high energy cosmic rays are presented.
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- 2022
42. Cosmic ray anisotropy study by means of detection of muon bundles
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Trinchero, G., Amelchakov, M. B., Bogdanov, A. G., Chiavassa, A., Dmitrieva, A. N., Mannocchi, G., Khokhlov, S. S., Kokoulin, R. P., Kompaniets, K. G., Petrukhin, A. A., Shutenko, V. V., Shulzhenko, I. A., Yashin, I. I., and Yurina, E. A.
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Astrophysics - High Energy Astrophysical Phenomena ,Astrophysics - Instrumentation and Methods for Astrophysics ,J.2 - Abstract
In this work, we use muon bundles which are formed in extensive air showers and detected at the ground level as a tool for searching anisotropy of high energy cosmic rays. Such choice is explained by the penetrating ability of muons which allows them to retain the direction of primary particles with a good accuracy. In 2012-2022, we performed long-term muon bundle detection with the coordinate-tracking detector DECOR, which is a part of the Experimental complex NEVOD (MEPhI, Moscow). To search for the cosmic rays anisotropy, the muon bundles arriving at zenith angles in the range from 15 to 75 degrees in the local coordinate system are used. During the entire period of data taking, about 14 million of such events have been accumulated. In this paper, we describe some methods developed in the Experimental complex NEVOD and implemented in our research, including: the method for compensating the influence of meteorological conditions on the intensity of muon bundles at the Earth's surface, the method for accounting the design features of the detector and the inhomogeneity of the detection efficiency for different directions, as well as the method for estimating primary energies of cosmic rays. Here we present the results of the search for the dipole anisotropy of cosmic rays with energies in the PeV region and also compare them with the results obtained at the other scientific facilities., Comment: 18 pages, 12 figures
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- 2022
43. γ-Ray Detection with the TAIGA-IACT Installation in the Stereo Mode of Observation
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Volchugov, P. A., Astapov, I. I., Bez’’yazykov, P. A., Bonvech, E. A., Borodin, A. N., Budnev, N. M., Bulan, A. V., Vaidyanatan, A., Volkov, N. V., Voronin, D. M., Gafarov, A. R., Gres’, E. O., Gres’, O. A., Gres’, T. I., Grishin, O. G., Garmash, A. Yu., Grebenyuk, V. M., Grinyuk, A. A., Dyachok, A. N., Zhurov, D. P., Zagorodnikov, A. V., Ivanova, A. D., Ivanova, A. L., Ilyushin, M. A., Kalmykov, N. N., Kindin, V. V., Kiryukhin, S. N., Kokoulin, R. P., Kolosov, N. I., Kompaniets, K. G., Korosteleva, E. E., Kozhin, V. A., Kravchenko, E. A., Kryukov, A. P., Kuz’michev, L. A., K’yavassa, A., Lagutin, A. A., Lavrova, M. V., Lemeshev, Yu. E., Lubsandorzhiev, B. K., Lubsandorzhiev, N. B., Malakhov, S. D., Mirgazov, R. R., Monkhoev, R. D., Okuneva, E. A., Osipova, E. A., Panov, A. D., Pakhorukov, A. L., Pan, A., Pan’kov, L. V., Petrukhin, A. A., Podgrudkov, D. A., Popova, E. G., Postnikov, E. B., Prosin, V. V., Ptuskin, V. S., Pushnin, A. A., Razumov, A. Yu., Raikin, R. I., Rubtsov, G. I., Ryabov, E. V., Samoliga, V. S., Satyshev, I., Sveshnikova, L. G., Silaev, A. A., Silaev (Jr.), A. A., Sidorenkov, A. Yu., Skurikhin, A. V., Sokolov, A. V., Tabolenko, V. A., Tanaev, A. B., Ternovoi, M. Yu., Tkachev, L. G., Ushakov, N. A., Chernov, D. V., and Yashin, I. I.
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- 2024
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44. Using CubeSat Nanosatellites to Observe Solar Cosmic Rays
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Bogomolov, A. V., Bogomolov, V. V., Iyudin, A. F., Eremeev, V. E., Zaiko, Yu. K., Kalegaev, V. V., Myagkova, I. N., Osedlo, V. I., Peretyatko, O. Yu., Svertilov, S. I., Yashin, I. V., Papkov, A. P., and Krasnopeev, S. V.
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- 2024
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45. Genome-Related Mechanisms Contributing to Differences in Alzheimer’s Disease Incidence Between White and Black Older US Adults
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Kolpakov, Stanislav, Yashkin, Arseniy, Ukraintseva, Svetlana, Yashin, Anatoliy, and Akushevich, Igor
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- 2024
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46. Application of laser technologies for dismantling the pipelines of MIR loop channels
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Romanov, R. E., Gvozdev, S. V., Malyshkin, I. A., Maslennikov, R. V., Metliaev, D. D., Mochalov, A. V., Rzhevsky, M. V., Eshcherkin, A. G., Khaliapin, A. Yu., Kirdiashkin, M. G., Solovov, Yu. N., Borisov, I. V., and Yashin, R. A.
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- 2024
- Full Text
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47. Determination of Filament Parameters on the Spherical Tokamak Globus-M2 Using Doppler Backscattering
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Yashin, A. Y., Ponomarenko, A. M., Zhlitsov, N. S., Kukushkin, K. A., Kurskiev, G. S., Minaev, V. B., Petrov, A. V., Petrov, Yu. V., and Sakharov, N. V.
- Published
- 2023
- Full Text
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48. Status of the TAIGA Experiment: Gamma Astronomy
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Sveshnikova, L., Astapov, I., Bezyazykov, P., Blinov, A., Bonvech, E., Borodin, A., Budnev, N., Bulan, A., Vaidyanathan, A., Volkov, N., Volchugov, P., Voronin, D., Garmash, A., Gafarov, A., Grebenyuk, V., Gress, E., Gress, O., Gress, T., Grinyuk, A., Grishin, O., Dyachok, A., Zhurov, D., Zagorodnikov, A., Ivanova, A. L., Ilyushin, M., Kalmykov, N., Kindin, V., Kiryukhin, S., Kozhin, V., Kokoulin, R., Kolosov, N., Kompaniets, K., Korosteleva, E., Kravchenko, E., Kryukov, A., Kuzmichev, L., Chiavassa, A., Lavrova, M., Lagutin, A., Lemeshev, Yu., Lubsandorzhiev, B., Lubsandorzhiev, N., Mirgazov, R., Monkhoev, R., Okuneva, E., Osipova, E., Pan, A., Panov, A., Pankov, L., Pakhorukov, A., Petrukhin, A., Podgrudkov, D., Popova, E., Postnikov, E., Prosin, V., Ptuskin, V., Pushnin, A., Razumov, A., Raikin, R., Rubtsov, G., Ryabov, E., Samoliga, V., Satyshev, I., Sidorenkov, A., Silaev, A., Silaev, Jr., A., Skurikhin, A., Sokolov, A., Tabolenko, V., Tanaev, A., Ternovoy, M., Tkachev, L., Ushakov, N., Chernov, D., Shipilov, D., and Yashin, I.
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- 2023
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49. Gas Chromatography–Atmospheric Pressure Photoionization Mass Spectrometry: Detection of Unknown Low-Molecular-Weight Organic Components of Complex Mixtures at the Trace Level
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Revelsky, I. A., Yashin, Yu. S., Samokhin, A. S., and Revelsky, A. I.
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- 2023
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50. Extreme Universe through the Eyes of Master Global Robotic Net
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Lipunov, V. M., Kornilov, V. G., Zhirkov, K. K., Balanutsa, P. V., Antipov, G. A., Kuznetsov, A. S., Panchenko, I. E., Gorbovskoy, E. S., Tiurina, N. V., Vlasenko, D. M., Chasovnikov, A. R., Topolev, V. V., Sosnovskij, A. A., Buckley, D. A. H., Francile, C., Podesta, R., Podesta, F., Rebolo, R., Sierra-Ricart, M., Budnev, N. M., Gress, O. A., Tlatov, A. G., Kechin, Ya., Gabovich, A. V., Yurkov, V. V., Senik, V. A., Tselik, Yu., Pozdnyakov, A., Gulyaev, M. A., Cheryasov, D. V., Carrasco, L., Valdes, J. R., Chavushyan, V., Patino, V., Martinez, J., Corella, R., Rodriguez, L. H., Gorbunov, I. A., Krylov, A. V., Svertilov, S. I., Iyudin, A. F., Yashin, I. V., Vladimirov, V. V., Rudenko, B. A., Kuvshinov, D. A., Yudin, A., Chazov, V. V., and Zimnukhov, D. S.
- Published
- 2023
- Full Text
- View/download PDF
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