2,924 results on '"P. Boiko"'
Search Results
2. Advancing Molecular Machine (Learned) Representations with Stereoelectronics-Infused Molecular Graphs
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Boiko, Daniil A., Reschützegger, Thiago, Sanchez-Lengeling, Benjamin, Blau, Samuel M., and Gomes, Gabe
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Computer Science - Machine Learning ,Physics - Chemical Physics - Abstract
Molecular representation is a foundational element in our understanding of the physical world. Its importance ranges from the fundamentals of chemical reactions to the design of new therapies and materials. Previous molecular machine learning models have employed strings, fingerprints, global features, and simple molecular graphs that are inherently information-sparse representations. However, as the complexity of prediction tasks increases, the molecular representation needs to encode higher fidelity information. This work introduces a novel approach to infusing quantum-chemical-rich information into molecular graphs via stereoelectronic effects. We show that the explicit addition of stereoelectronic interactions significantly improves the performance of molecular machine learning models. Furthermore, stereoelectronics-infused representations can be learned and deployed with a tailored double graph neural network workflow, enabling its application to any downstream molecular machine learning task. Finally, we show that the learned representations allow for facile stereoelectronic evaluation of previously intractable systems, such as entire proteins, opening new avenues of molecular design., Comment: 23 pages, 6 figures
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- 2024
3. Development of MMC-based lithium molybdate cryogenic calorimeters for AMoRE-II
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Agrawal, A., Alenkov, V. V., Aryal, P., Bae, H., Beyer, J., Bhandari, B., Boiko, R. S., Boonin, K., Buzanov, O., Byeon, C. R., Chanthima, N., Cheoun, M. K., Choe, J. S., Choi, S., Choudhury, S., Chung, J. S., Danevich, F. A., Djamal, M., Drung, D., Enss, C., Fleischmann, A., Gangapshev, A. M., Gastaldo, L., Gavrilyuk, Y. M., Gezhaev, A. M., Gileva, O., Grigorieva, V. D., Gurentsov, V. I., Ha, C., Ha, D. H., Ha, E. J., Hwang, D. H., Jeon, E. J., Jeon, J. A., Jo, H. S., Kaewkhao, J., Kang, C. S., Kang, W. G., Kazalov, V. V., Kempf, S., Khan, A., Khan, S., Kim, D. Y., Kim, G. W., Kim, H. B., Kim, H. J., Kim, H. L., Kim, H. S., Kim, M. B., Kim, S. C., Kim, S. K., Kim, S. R., Kim, W. T., Kim, Y. D., Kim, Y. H., Kirdsiri, K., Ko, Y. J., Kobychev, V. V., Kornoukhov, V., Kuzminov, V. V., Kwon, D. H., Lee, C. H., Lee, D. Y., Lee, E. K., Lee, H. J., Lee, H. S., Lee, J., Lee, J. Y., Lee, K. B., Lee, M. H., Lee, M. K., Lee, S. W., Lee, Y. C., Leonard, D. S., Lim, H. S., Mailyan, B., Makarov, E. P., Nyanda, P., Oh, Y., Olsen, S. L., Panasenko, S. I., Park, H. K., Park, H. S., Park, K. S., Park, S. Y., Polischuk, O. G., Prihtiadi, H., Ra, S., Ratkevich, S. S., Rooh, G., Sari, M. B., Seo, J., Seo, K. M., Sharma, B., Shin, K. A., Shlegel, V. N., Siyeon, K., So, J., Sokur, N. V., Son, J. K., Song, J. W., Srisittipokakun, N., Tretyak, V. I., Wirawan, R., Woo, K. R., Yeon, H. J., Yoon, Y. S., and Yue, Q.
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Physics - Instrumentation and Detectors ,Astrophysics - Instrumentation and Methods for Astrophysics ,High Energy Physics - Experiment ,Nuclear Experiment - Abstract
The AMoRE collaboration searches for neutrinoless double beta decay of $^{100}$Mo using molybdate scintillating crystals via low temperature thermal calorimetric detection. The early phases of the experiment, AMoRE-pilot and AMoRE-I, have demonstrated competitive discovery potential. Presently, the AMoRE-II experiment, featuring a large detector array with about 90 kg of $^{100}$Mo isotope, is under construction.This paper discusses the baseline design and characterization of the lithium molybdate cryogenic calorimeters to be used in the AMoRE-II detector modules. The results from prototype setups that incorporate new housing structures and two different crystal masses (316 g and 517 - 521 g), operated at 10 mK temperature, show energy resolutions (FWHM) of 7.55 - 8.82 keV at the 2.615 MeV $^{208}$Tl $\gamma$ line, and effective light detection of 0.79 - 0.96 keV/MeV. The simultaneous heat and light detection enables clear separation of alpha particles with a discrimination power of 12.37 - 19.50 at the energy region around $^6$Li(n, $\alpha$)$^3$H with Q-value = 4.785 MeV. Promising detector performances were demonstrated at temperatures as high as 30 mK, which relaxes the temperature constraints for operating the large AMoRE-II array.
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- 2024
4. Improved limit on neutrinoless double beta decay of \mohundred~from AMoRE-I
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Agrawal, A., Alenkov, V. V., Aryal, P., Beyer, J., Bhandari, B., Boiko, R. S., Boonin, K., Buzanov, O., Byeon, C. R., Chanthima, N., Cheoun, M. K., Choe, J. S., Choi, Seonho, Choudhury, S., Chung, J. S., Danevich, F. A., Djamal, M., Drung, D., Enss, C., Fleischmann, A., Gangapshev, A. M., Gastaldo, L., Gavrilyuk, Y. M., Gezhaev, A. M., Gileva, O., Grigorieva, V. D., Gurentsov, V. I., Ha, C., Ha, D. H., Ha, E. J., Hwang, D. H., Jeon, E. J., Jeon, J. A., Jo, H. S., Kaewkhao, J., Kang, C. S., Kang, W. G., Kazalov, V. V., Kempf, S., Khan, A., Khan, S., Kim, D. Y., Kim, G. W., Kim, H. B., Kim, Ho-Jong, Kim, H. J., Kim, H. L., Kim, H. S., Kim, M. B., Kim, S. C., Kim, S. K., Kim, S. R., Kim, W. T., Kim, Y. D., Kim, Y. H., Kirdsiri, K., Ko, Y. J., Kobychev, V. V., Kornoukhov, V., Kuzminov, V. V., Kwon, D. H., Lee, C. H., Lee, DongYeup, Lee, E. K., Lee, H. J., Lee, H. S., Lee, J., Lee, J. Y., Lee, K. B., Lee, M. H., Lee, M. K., Lee, S. W., Lee, Y. C., Leonard, D. S., Lim, H. S., Mailyan, B., Makarov, E. P., Nyanda, P., Oh, Y., Olsen, S. L., Panasenko, S. I., Park, H. K., Park, H. S., Park, K. S., Park, S. Y., Polischuk, O. G., Prihtiadi, H., Ra, S., Ratkevich, S. S., Rooh, G., Sari, M. B., Seo, J., Seo, K. M., Sharma, B., Shin, K. A., Shlegel, V. N., Siyeon, K., So, J., Sokur, N. V., Son, J. K., Song, J. W., Srisittipokakun, N., Tretyak, V. I., Wirawan, R., Woo, K. R., Yeon, H. J., Yoon, Y. S., and Yue, Q.
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Nuclear Experiment ,High Energy Physics - Experiment - Abstract
AMoRE searches for the signature of neutrinoless double beta decay of $^{100}$Mo with a 100 kg sample of enriched $^{100}$Mo. Scintillating molybdate crystals coupled with a metallic magnetic calorimeter operate at milli-Kelvin temperatures to measure the energy of electrons emitted in the decay. As a demonstration of the full-scale AMoRE, we conducted AMoRE-I, a pre-experiment with 18 molybdate crystals, at the Yangyang Underground Laboratory for over two years. The exposure was 8.02 kg$\cdot$year (or 3.89 kg$_{\mathrm{^{100}Mo}}\cdot$year) and the total background rate near the Q-value was 0.025 $\pm$ 0.002 counts/keV/kg/year. We observed no indication of $0\nu\beta\beta$ decay and report a new lower limit of the half-life of $^{100}$Mo $0\nu\beta\beta$ decay as $ T^{0\nu}_{1/2}>3.0\times10^{24}~\mathrm{years}$ at 90\% confidence level. The effective Majorana mass limit range is $m_{\beta\beta}<$(210--610) meV using nuclear matrix elements estimated in the framework of different models, including the recent shell model calculations., Comment: 7 pages, 4 figures
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- 2024
5. Machine learning meets mass spectrometry: a focused perspective
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Boiko, Daniil A. and Ananikov, Valentine P.
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Physics - Chemical Physics ,Computer Science - Artificial Intelligence ,Computer Science - Machine Learning - Abstract
Mass spectrometry is a widely used method to study molecules and processes in medicine, life sciences, chemistry, catalysis, and industrial product quality control, among many other applications. One of the main features of some mass spectrometry techniques is the extensive level of characterization (especially when coupled with chromatography and ion mobility methods, or a part of tandem mass spectrometry experiment) and a large amount of generated data per measurement. Terabyte scales can be easily reached with mass spectrometry studies. Consequently, mass spectrometry has faced the challenge of a high level of data disappearance. Researchers often neglect and then altogether lose access to the rich information mass spectrometry experiments could provide. With the development of machine learning methods, the opportunity arises to unlock the potential of these data, enabling previously inaccessible discoveries. The present perspective highlights reevaluation of mass spectrometry data analysis in the new generation of methods and describes significant challenges in the field, particularly related to problems involving the use of electrospray ionization. We argue that further applications of machine learning raise new requirements for instrumentation (increasing throughput and information density, decreasing pricing, and making more automation-friendly software), and once met, the field may experience significant transformation., Comment: 20 pages, 4 figures
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- 2024
6. Projected background and sensitivity of AMoRE-II
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Agrawal, A., Alenkov, V. V., Aryal, P., Beyer, J., Bhandari, B., Boiko, R. S., Boonin, K., Buzanov, O., Byeon, C. R., Chanthima, N., Cheoun, M. K., Choe, J. S., Choi, Seonho, Choudhury, S., Chung, J. S., Danevich, F. A., Djamal, M., Drung, D., Enss, C., Fleischmann, A., Gangapshev, A. M., Gastaldo, L., Gavrilyuk, Y. M., Gezhaev, A. M., Gileva, O., Grigorieva, V. D., Gurentsov, V. I., Ha, C., Ha, D. H., Ha, E. J., Hwnag, D. H., Jeona, E. J., Jeon, J. A., Jo, H. S., Kaewkhao, J., Kang, C. S., Kang, W. G., Kazalov, V. V., Kempf, S., Khan, A., Khan, S., Kim, D. Y., Kim, G. W., Kim, H. B., Kim, Ho-Jong, Kim, H. J., Kim, H. L., Kim, H. S., Kim, M. B., Kim, S. C., Kim, S. K., Kim, S. R., Kim, W. T., Kim, Y. D., Kim, Y. H., Kirdsiri, K., Ko, Y. J., Kobychev, V. V., Kuzminov, V. Kornoukhov V. V., Kwon, D. H., Lee, C. H., Lee, DongYeup, Lee, E. K., Lee, H. J., Lee, H. S., Lee, J., Lee, J. Y., Lee, K. B., Lee, M. H., Lee, M. K., Lee, S. W., Lee, Y. C., Leonard, D. S., Lim, H. S., Mailyan, B., Makarov, E. P., Nyanda, P., Oh, Y., Olsen, S. L., Panasenko, S. I., Park, H. K., Park, H. S., Park, K. S., Park, S. Y., Polischuk, O. G., Prihtiadi, H., Ra, S., Rooh, S. S. Ratkevich G., Sari, M. B., Seob, J., Seo, K. M., Sharma, B., Shin, K. A., Shlegel, V. N., Siyeon, K., So, J., Sokur, N. V., Son, J. K., Song, J. W., Srisittipokakun, N., Tretyak, V. I., Wirawan, R., Woo, K. R., Yeon, H. J., Yoon, Y. S., and Yue, Q.
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Physics - Instrumentation and Detectors ,High Energy Physics - Experiment - Abstract
AMoRE-II aims to search for neutrinoless double beta decay with an array of 423 Li$_2$$^{100}$MoO$_4$ crystals operating in the cryogenic system as the main phase of the Advanced Molybdenum-based Rare process Experiment (AMoRE). AMoRE has been planned to operate in three phases: AMoRE-pilot, AMoRE-I, and AMoRE-II. AMoRE-II is currently being installed at the Yemi Underground Laboratory, located approximately 1000 meters deep in Jeongseon, Korea. The goal of AMoRE-II is to reach up to $T^{0\nu\beta\beta}_{1/2}$ $\sim$ 6 $\times$ 10$^{26}$ years, corresponding to an effective Majorana mass of 15 - 29 meV, covering all the inverted mass hierarchy regions. To achieve this, the background level of the experimental configurations and possible background sources of gamma and beta events should be well understood. We have intensively performed Monte Carlo simulations using the GEANT4 toolkit in all the experimental configurations with potential sources. We report the estimated background level that meets the 10$^{-4}$counts/(keV$\cdot$kg$\cdot$yr) requirement for AMoRE-II in the region of interest (ROI) and show the projected half-life sensitivity based on the simulation study.
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- 2024
7. Deneb is a Large Amplitude Polarimetric Variable
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Cotton, Daniel V., Bailey, Jeremy, Perkins, Jean, Buzasi, Derek L., and Boiko, Ievgeniia
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Astrophysics - Solar and Stellar Astrophysics - Abstract
We write to report the discovery that Deneb is a large amplitude polarization variable. Over a ~400 d time span from August 2022 Deneb's polarization was typically around 3900 parts-per-million (ppm) in the SDSS g'-band. Yet, it varied by several hundred ppm in an irregular way on a timescale of weeks. The largest polarization change, amounting to 2500 ppm, occurred shortly after the last pulsation ``resumption'' event identified by Abt et al. (2023) in TESS photometry. The relationship between the observed polarization -- particularly corresponding to the resumption event -- and its brightness and H-alpha spectra suggests a mechanism involving density changes in its wind and/or extended atmosphere. Smaller effects due to pulsations are not ruled out and further study is recommended., Comment: Accepted to ApJL. 7 pages; 2 figures; 2 tables
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- 2024
8. Technical Design Report of the Spin Physics Detector at NICA
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The SPD Collaboration, Abazov, V., Abramov, V., Afanasyev, L., Akhunzyanov, R., Akindinov, A., Alekseev, I., Aleshko, A., Alexakhin, V., Alexeev, G., Alimov, L., Allakhverdieva, A., Amoroso, A., Andreev, V., Andronov, E., Anikin, Yu., Anischenko, S., Anisenkov, A., Anosov, V., Antokhin, E., Antonov, A., Antsupov, S., Anufriev, A., Asadova, K., Ashraf, S., Astakhov, V., Aynikeev, A., Azarkin, M., Azorskiy, N., Bagulya, A., Baigarashev, D., Baldin, A., Baldina, E., Barbashina, N., Barnyakov, A., Barsov, S., Bartkevich, A., Baryshevsky, V., Basharina, K., Baskakov, A., Baskov, V., Batista, M., Baturitsky, M., Bautin, V., Bedareva, T., Belokurova, S., Belova, A., Belyaeva, E., Berdnikov, A., Berdnikov, Ya., Berezhnoy, A., Berngardt, A., Bespalov, Yu., Bleko, V., Bliznyuk, L., Bogoslovskii, D., Boiko, A., Boikov, A., Bolsunovskya, M., Boos, E., Borisov, V., Borsch, V., Budkouski, D., Bulanova, S., Bulekov, O., Bunichev, V., Burtebayev, N., Bychanok, D., Casanova, A., Cesar, G., Chemezov, D., Chepurnov, A., Chen, L., Chmill, V., Chukanov, A., Chuzo, A., Danilyuk, A., Datta, A., Dedovich, D., Demichev, M., Deng, G., Denisenko, I., Denisov, O., Derbysheva, T., Derkach, D., Didorenko, A., Dima, M. -O., Doinikov, A., Doronin, S., Dronik, V., Dubinin, F., Dunin, V., Durum, A., Egorov, A., El-Kholy, R., Enik, T., Ermak, D., Erofeev, D., Erokhin, A., Ezhov, D., Fedin, O., Fedotova, Ju., Feofilov, G., Filatov, Yu., Filimonov, S., Frolov, V., Galaktionov, K., Galoyan, A., Garkun, A., Gavrishchuk, O., Gerasimov, S., Gerassimov, S., Gilts, M., Gladilin, L., Golovanov, G., Golovnya, S., Golovtsov, V., Golubev, A., Golubykh, S., Goncharov, P., Gongadze, A., Greben, N., Gregoryev, A., Gribkov, D., Gridin, A., Gritsay, K., Gubachev, D., Guo, J., Gurchin, Yu., Gurinovich, A., Gurov, Yu., Guskov, A., Gutierrez, D., Guzman, F., Hakobyan, A., Han, D., Harkusha, S., Hu, Sh., Igolkin, S., Isupov, A., Ivanov, A., Ivanov, N., Ivantchenko, V., Jin, Sh., Kakurin, S., Kalinichenko, N., Kambar, Y., Kantsyrev, A., Kapitonov, I., Karjavine, V., Karpishkov, A., Katcin, A., Kekelidze, G., Kereibay, D., Khabarov, S., Kharyuzov, P., Khodzhibagiyan, H., Kidanov, E., Kidanova, E., Kim, V., Kiryanov, A., Kishchin, I., Kokoulina, E., Kolbasin, A., Komarov, V., Konak, A., Kopylov, Yu., Korjik, M., Korotkov, M., Korovkin, D., Korzenev, A., Kostenko, B., Kotova, A., Kotzinian, A., Kovalenko, V., Kovyazina, N., Kozhin, M., Kraeva, A., Kramarenko, V., Kremnev, A., Kruchonak, U., Kubankin, A., Kuchinskaia, O., Kulchitsky, Yu., Kuleshov, S., Kulikov, A., Kulikov, V., Kurbatov, V., Kurmanaliev, Zh., Kurochkin, Yu., Kutuzov, S., Kuznetsova, E., Kuyanov, I., Ladygin, E., Ladygin, V., Larionova, D., Lebedev, V., Levchuk, M., Li, P., Li, X., Li, Y., Livanov, A., Lednicki, R., Lobanov, A., Lobko, A., Loshmanova, K., Lukashevich, S., Luschevskaya, E., Lyashko, A. L'vov I., Lysan, V., Lyubovitskij, V., Madigozhin, D., Makarenko, V., Makarov, N., Makhmanazarov, R., Maleev, V., Maletic, D., Malinin, A., Maltsev, A., Maltsev, N., Malkhasyan, A., Malyshev, M., Mamoutova, O., Manakonov, A., Marova, A., Merkin, M., Meshkov, I., Metchinsky, V., Minko, O., Mitrankov, Yu., Mitrankova, M., Mkrtchyan, A., Mkrtchyan, H., Mohamed, R., Morozova, S., Morozikhin, A., Mosolova, E., Mossolov, V., Movchan, S., Mukhamejanov, Y., Mukhamejanova, A., Muzyaev, E., Myktybekov, D., Nagorniy, S., Nassurlla, M., Nechaeva, P., Negodaev, M., Nesterov, V., Nevmerzhitsky, M., Nigmatkulov, G., Nikiforov, D., Nikitin, V., Nikolaev, A., Oleynik, D., Onuchin, V., Orlov, I., Orlova, A., Ososkov, G., Panzieri, D., Parsamyan, B., Pavzderin, P., Pavlov, V., Pedraza, M., Perelygin, V., Peshkov, D., Petrosyan, A., Petrov, M., Petrov, V., Petrukhin, K., Piskun, A., Pivovarov, S., Polishchuk, I., Polozov, P., Polyanskii, V., Ponomarev, A., Popov, V., Popovich, S., Prokhorova, D., Prokofiev, N., Prokoshin, F., Puchkov, A., Pudin, I., Pyata, E., Ratnikov, F., Rasin, V., Red'kov, V., Reshetin, A., Reznikov, S., Rogacheva, N., Romakhov, S., Rouba, A., Rudnev, V., Rusinov, V., Rusov, D., Ryltsov, V., Saduyev, N., Safonov, A., Sakhiyev, S., Salamatin, K., Saleev, V., Samartsev, A., Samigullin, E., Samoylov, O., Saprunov, E., Savenkov, A., Seleznev, A., Semak, A., Senkov, D., Sergeev, A., Seryogin, L., Seryubin, S., Shabanov, A., Shahinyan, A., Shavrin, A., Shein, I., Sheremeteva, A., Shevchenko, V., Shilyaev, K., Shimansky, S., Shinbulatov, S., Shipilov, F., Shipilova, A., Shkarovskiy, S., Shoukovy, D., Shpakov, K., Shreyber, I., Shtejer, K., Shulyakovsky, R., Shunko, A., Sinelshchikova, S., Skachkova, A., Skalnenkov, A., Smirnov, A., Smirnov, S., Snesarev, A., Solin, A., Solin jr., A., Soldatov, E., Solovtsov, V., Song, J., Sosnov, D., Stavinskiy, A., Stekacheva, D., Streletskaya, E., Strikhanov, M., Suarez, O., Sukhikh, A., Sukhovarov, S., Sulin, V., Sultanov, R., Sun, P., Svirida, D., Syresin, E., Tadevosyan, V., Tarasov, O., Tarkovsky, E., Tchekhovsky, V., Tcherniaev, E., Terekhin, A., Terkulov, A., Tereshchenko, V., Teryaev, O., Teterin, P., Tishevsky, A., Tokmenin, V., Topilin, N., Tsiareshka, P., Tumasyan, A., Tyumenkov, G., Usenko, E., Uvarov, L., Uzhinsky, V., Uzikov, Yu., Valiev, F., Vasilieva, E., Vasyukov, A., Vechernin, V., Verkheev, A., Vertogradov, L., Vertogradova, Yu., Vidal, R., Voitishin, N., Volkov, I., Volkov, P., Vorobyov, A., Voskanyan, H., Wang, H., Wang, Y., Xu, T., Yanovich, A., Yeletskikh, I., Yerezhep, N., Yurchenko, S., Zakharov, A., Zamiatin, N., Zamora-Saá, J., Zarochentsev, A., Zelenov, A., Zemlyanichkina, E., Zhabitsky, M., Zhang, J., Zhang, Zh., Zhemchugov, A., Zherebchevsky, V., Zhevlakov, A., Zhigareva, N., Zhou, J., Zhuang, X., Zhukov, I., Zhuravlev, N., Zinin, A., Zmeev, S., Zolotykh, D., Zubarev, E., and Zvyagina, A.
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High Energy Physics - Experiment ,Physics - Instrumentation and Detectors - Abstract
The Spin Physics Detector collaboration proposes to install a universal detector in the second interaction point of the NICA collider under construction (JINR, Dubna) to study the spin structure of the proton and deuteron and other spin-related phenomena using a unique possibility to operate with polarized proton and deuteron beams at a collision energy up to 27 GeV and a luminosity up to $10^{32}$ cm$^{-2}$ s$^{-1}$. As the main goal, the experiment aims to provide access to the gluon TMD PDFs in the proton and deuteron, as well as the gluon transversity distribution and tensor PDFs in the deuteron, via the measurement of specific single and double spin asymmetries using different complementary probes such as charmonia, open charm, and prompt photon production processes. Other polarized and unpolarized physics is possible, especially at the first stage of NICA operation with reduced luminosity and collision energy of the proton and ion beams. This document is dedicated exclusively to technical issues of the SPD setup construction.
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- 2024
9. Background study of the AMoRE-pilot experiment
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Agrawal, A., Alenkov, V. V., Aryal, P., Beyer, J., Bhandari, B., Boiko, R. S., Boonin, K., Buzanov, O., Byeon, C. R., Chanthima, N., Cheoun, M. K., Choe, J. S., Choi, Seonho, Choudhury, S., Chung, J. S., Danevich, F. A., Djamal, M., Drung, D., Enss, C., Fleischmann, A., Gangapshev, A. M., Gastaldo, L., Gavrilyuk, Yu. M., Gezhaev, A. M., Gileva, O., Grigorieva, V. D., Gurentsov, V. I., Ha, C., Ha, D. H., Ha, E. J., Hwang, D. H., Jeon, E. J., Jeon, J. A., Jo, H. S., Kaewkhao, J., Kang, C. S., Kang, W. G., Kazalov, V. V., Kempf, S., Khan, A., Khan, S., Kim, D. Y., Kim, G. W., Kim, H. B., Kim, Ho-Jong, Kim, H. J., Kim, H. L., Kim, H. S., Kim, M. B., Kim, S. C., Kim, S. K., Kim, S. R., Kim, W. T., Kim, Y. D., Kim, Y. H., Kirdsiri, K., Ko, Y. J., Kobychev, V. V., Kornoukhov, V., Kuzminov, V. V., Kwon, D. H., Lee, C. H., Lee, DongYeup, Lee, E. K., Lee, H. J., Lee, H. S., Lee, J., Lee, J. Y., Lee, K. B., Lee, M. H., Lee, M. K., Lee, S. W., Lee, Y. C., Leonard, D. S., Lim, H. S., Mailyan, B., Makarov, E. P., Nyanda, P., Oh, Y., Olsen, S. L., Panasenko, S. I., Park, H. K., Park, H. S., Park, K. S., Park, S. Y., Polischuk, O. G., Prihtiadi, H., Ra, S., Ratkevich, S. S., Rooh, G., Sari, M. B., Seo, J., Seo, K. M., Sharma, B., Shin, K. A., Shlegel, V. N., Siyeon, K., So, J., Sokur, N. V., Son, J. K., Song, J. W., Srisittipokakun, N., Tretyak, V. I., Wirawan, R., Woo, K. R., Yeon, H. J., Yoon, Y. S., and Yue, Q.
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Nuclear Experiment ,High Energy Physics - Experiment - Abstract
We report a study on the background of the Advanced Molybdenum-Based Rare process Experiment (AMoRE), a search for neutrinoless double beta decay (\znbb) of $^{100}$Mo. The pilot stage of the experiment was conducted using $\sim$1.9 kg of \CAMOO~ crystals at the Yangyang Underground Laboratory, South Korea, from 2015 to 2018. We compared the measured $\beta/\gamma$ energy spectra in three experimental configurations with the results of Monte Carlo simulations and identified the background sources in each configuration. We replaced several detector components and enhanced the neutron shielding to lower the background level between configurations. A limit on the half-life of $0\nu\beta\beta$ decay of $^{100}$Mo was found at $T_{1/2}^{0\nu} \ge 3.0\times 10^{23}$ years at 90\% confidence level, based on the measured background and its modeling. Further reduction of the background rate in the AMoRE-I and AMoRE-II are discussed.
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- 2024
10. Characteristic Function, Schur Interpolation Problem and Darlington Synthesis
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Boiko, Sergey S., Dubovoy, Vladimir K., Fritzsche, Bernd, Kirstein, Bernd, Mädler, Conrad, and Müller, Karsten
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Mathematics - Complex Variables ,30J10 (Primary) 47A48, 47A40, 30E05, 47A57 (Secondary) - Abstract
In this paper we would like to show the interrelation between the different mathematical theories concerning the Schur interpolation problem, contractions in Hilbert spaces, pseudocontinuation and Darlington synthesis. The main objects of this article are contractive functions holomorphic in the unit disc (Schur functions). Here they are considered, on the one hand, as characteristic functions of contractions in Hilbert spaces and, on the other hand, as transfer functions of open systems.
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- 2023
11. Fuzzy Ensembles of Reinforcement Learning Policies for Robotic Systems with Varied Parameters
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Haddad, Abdel Gafoor, Mohiuddin, Mohammed B., Boiko, Igor, and Zweiri, Yahya
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Computer Science - Robotics ,Electrical Engineering and Systems Science - Systems and Control - Abstract
Reinforcement Learning (RL) is an emerging approach to control many dynamical systems for which classical control approaches are not applicable or insufficient. However, the resultant policies may not generalize to variations in the parameters that the system may exhibit. This paper presents a powerful yet simple algorithm in which collaboration is facilitated between RL agents that are trained independently to perform the same task but with different system parameters. The independency among agents allows the exploitation of multi-core processing to perform parallel training. Two examples are provided to demonstrate the effectiveness of the proposed technique. The main demonstration is performed on a quadrotor with slung load tracking problem in a real-time experimental setup. It is shown that integrating the developed algorithm outperforms individual policies by reducing the RMSE tracking error. The robustness of the ensemble is also verified against wind disturbance., Comment: arXiv admin note: text overlap with arXiv:2311.05013
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- 2023
12. Reinforcement Learning Generalization for Nonlinear Systems Through Dual-Scale Homogeneity Transformations
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Haddad, Abdel Gafoor, Boiko, Igor, and Zweiri, Yahya
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Electrical Engineering and Systems Science - Systems and Control - Abstract
Reinforcement learning is an emerging approach to control dynamical systems for which classical approaches are difficult to apply. However, trained agents may not generalize against the variations of system parameters. This paper presents the concept of dual-scale homogeneity, an important property in understating the scaling behavior of nonlinear systems. Furthermore, it also presents an effective yet simple approach to designing a parameter-dependent control law that homogenizes a nonlinear system. The presented approach is applied to two systems, demonstrating its ability to provide a consistent performance irrespective of parameters variations. To demonstrate the practicality of the proposed approach, the control policy is generated by a deep deterministic policy gradient to control the load position of a quadrotor with a slung load. The proposed synergy between the homogeneity transformations and reinforcement learning yields superior performance compared to other recent learning-based control techniques. It achieves a success rate of 96% in bringing the load to its designated target with a 3D RMSE of 0.0253 m. The video that shows the experimental results along with a summary of the paper is available at this link.
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- 2023
13. Business Simulation Games in Developing Pre-Service Restaurant Managers' Speech Interaction Competence Using GPTChat
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Nikolaeva, Sofiya, Chernysh, Valentyna, Boiko, Hanna, and Galynska, Olena
- Abstract
The study aims to develop speech interaction skills in language learning of pre-service restaurant managers with focus on professional skills -- decision-making in conflict and non-conflict communication situations using business simulation games; to explore the effectiveness of GPTChat as a tool for the development of students' speech interaction competence in the context of business simulation games. A mixed research design was employed which involved 44 pre-service restaurant managers of the National University of Food technologies (Kyiv, Ukraine) in 2023. The quantitative research method was used to assess the students' level of speech interaction competence using the Fisher Criterion. The qualitative research method was used for analyzing and interpreting data of the experimental learning. The results showed that the pre-service restaurant managers who were consulted by teachers, used GPTChat and business simulation games for developing their speech interaction and decision-making skills had higher results than those who only used GPTChat. It has been found that business simulation games allow pre-service restaurant managers to better understand the nature of conflict and non-conflict situations in their professional field, develop speech interaction competence, practice in decision-making in simulation environment. GPTChat can be used as a tool for creating various professional situations, analysing the algorithms of decision-making in conflict and non-conflict situations.
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- 2023
14. Using Artificial Neural Networks to Search for the Production of the Higgs Boson Together with a Single Top Quark
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Boiko, I. R., Guseinov, N. A., Eletskikh, I. V., Didenko, A. R., Dolovova, O. A., and Tropina, A. D.
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- 2024
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15. Relationship Between the rs6265 Polymorphism of the BDNF Gene and the Serum Neurotrophic Factor Level in Patients with Parkinson’s Disease
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Nikitina, M. A., Bragina, E. Yu., Nazarenko, M. S., Levchuk, L. A., Ivanova, S. A., Boiko, A. S., Gomboeva, D. E., Koroleva, E. S., and Alifirova, V. M.
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- 2024
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16. Influence of the Molar Ratio Sr : Bi : Ta in Strontium Bismuth Tantalate Films SryBi2 +xTa2O9 on Structure and Electrophysical Properties
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Kiselev, D. A., Kurteva, E. A., Semchenko, A. V., Boiko, A. A., Sudnik, L. V., and Chucheva, G. V.
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- 2024
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17. Low-noise amplifier cryogenic testbed validation in a TaaS (Testing-as-a-Service) framework
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Boiko, Brandon, Zhang, Eric J., Jorgesen, Doug, Engelmann, Sebastian, Grosskopf, Curtis, and Paske, Ryan
- Subjects
Quantum Physics ,Physics - Instrumentation and Detectors - Abstract
As quantum computers based on superconducting qubit processors scale, cryogenic microwave components in the qubit control and readout chain must be appropriately tested and qualified to ensure consistent and high-fidelity quantum computation. However, the intersection of superconducting cryogenics and microwave electronics is a new domain with limited technical and commercial expertise. In this paper we validate a TaaS (testing-as-a-service) framework using an organizational workgroup model that consists of (1) a commercial Test House, (2) standard temperature Component Manufacturer, (3) Academic Partner, and (4) System Integrator to demonstrate a scalable model for the qualification of cryogenic microwave components. The goal of this model is to secure the supply chain and support the rapid growth of Quantum Computing (QC) technologies. The component test vehicle presented in this paper is a low-noise amplifier (LNA) which is a crucial component in the cryogenic chain to ensure adequate signal-to-noise of the qubit readout. We devise standard test metrics and protocols by which LNA performance is measured, including key parameters such as gain and flatness, reflection and isolation, operating bandwidth, and noise figure. We present details of the cryogenic testbed customized for LNA qualification, outline test methodologies, and present a suite of standard processes that are used to systematize data collation and reporting. The testbed is validated by reproducing parameters of a pre-characterized LNA. Its value is demonstrated by characterizing a proof-of-concept cryogenic LNA prototype. Finally, we describe the extension of our TaaS framework toward testing at scale for various active and passive cryogenic components used in QC.
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- 2023
18. Closed‐loop stability analysis of deep reinforcement learning controlled systems with experimental validation
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Mohammed Basheer Mohiuddin, Igor Boiko, Rana Azzam, and Yahya Zweiri
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control system analysis ,cranes ,iterative learning control ,learning (artificial intelligence) ,learning systems ,neural nets ,Control engineering systems. Automatic machinery (General) ,TJ212-225 - Abstract
Abstract Trained deep reinforcement learning (DRL) based controllers can effectively control dynamic systems where classical controllers can be ineffective and difficult to tune. However, the lack of closed‐loop stability guarantees of systems controlled by trained DRL agents hinders their adoption in practical applications. This research study investigates the closed‐loop stability of dynamic systems controlled by trained DRL agents using Lyapunov analysis based on a linear‐quadratic polynomial approximation of the trained agent. In addition, this work develops an understanding of the system's stability margin to determine operational boundaries and critical thresholds of the system's physical parameters for effective operation. The proposed analysis is verified on a DRL‐controlled system for several simulated and experimental scenarios. The DRL agent is trained using a detailed dynamic model of a non‐linear system and then tested on the corresponding real‐world hardware platform without any fine‐tuning. Experiments are conducted on a wide range of system states and physical parameters and the results have confirmed the validity of the proposed stability analysis (https://youtu.be/QlpeD5sTlPU).
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- 2024
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19. Perturbation of an alpha-stable type stochastic process by a pseudo-gradient
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Boiko, Mykola and Osypchuk, Mykhailo
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Mathematics - Probability ,60G52 - Abstract
We consider the Markov process defined by some pseudo-differential operator of the order $1<\alpha<2$ as the process generator. Using a pseudo-gradient operator, that is, the operator defined by the symbol $i\lambda|\lambda|^{\beta-1}$ with some $0<\beta<\alpha$, the perturbation of the Markov process by the pseudo-gradient with a multiplier integrable at some great enough power is constructed. Such perturbation defines a family of evolution operators, the properties of which are investigated.
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- 2023
20. Production of an eco-friendly concrete by including high-volume zeolitic supplementary cementitious materials and quicklime
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Vaičiukynienė, Danutė, Nizevičienė, Dalia, Kantautas, Aras, Tamošaitis, Gintautas, Fornés, Ignacio Villalón, Krivenko, Pavel, and Boiko, Olha
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- 2024
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21. Pilot Study of the DRD3, GHRL, FTO, LEPR, INSIG2, GSTP1, and ABCB1 Gene Expression in Peripheral Blood Leukocytes in Schizophrenic Patients with Metabolic Syndrome
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Boiko, A. S., Paderina, D. Z., Mikhalitskaya, E. V., Kornetova, E. G., Bokhan, N. A., and Ivanova, S. A.
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- 2024
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22. Pharmacological and Non-pharmacological Approaches for the Management of Neuropathic Pain in Multiple Sclerosis
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Shkodina, Anastasiia D., Bardhan, Mainak, Chopra, Hitesh, Anyagwa, Onyekachi Emmanuel, Pinchuk, Viktoriia A., Hryn, Kateryna V., Kryvchun, Anzhelina M., Boiko, Dmytro I., Suresh, Vinay, Verma, Amogh, and Delva, Mykhailo Yu.
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- 2024
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23. Vitamin D and Its Effect on the Endothelial Function of Cross-Country Skiers at Various Stages of the Training Cycle
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Potolitsyna, N. N., Parshukova, O. I., Kalikova, L. B., and Boiko, E. R.
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- 2024
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24. ENERGY APPROACH TO ESTIMATING THE QUALITY OF THE SPRAY GENERATED BY A MODEL PNEUMATIC ATOMIZER
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Boiko, V. M., Nesterov, A. Yu., and Poplavski, S. V.
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- 2024
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25. The accuracy of the trifocal IOL calculation using equivalent K-readings and total corneal power in different zones
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Shukhaev, Sergey Viktorovich, Pustozerov, Evgenii, Boiko, Ernest Vitalievich, and Kirillova, Olga Valerievna
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- 2024
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26. Emergent autonomous scientific research capabilities of large language models
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Boiko, Daniil A., MacKnight, Robert, and Gomes, Gabe
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Physics - Chemical Physics ,Computer Science - Computation and Language - Abstract
Transformer-based large language models are rapidly advancing in the field of machine learning research, with applications spanning natural language, biology, chemistry, and computer programming. Extreme scaling and reinforcement learning from human feedback have significantly improved the quality of generated text, enabling these models to perform various tasks and reason about their choices. In this paper, we present an Intelligent Agent system that combines multiple large language models for autonomous design, planning, and execution of scientific experiments. We showcase the Agent's scientific research capabilities with three distinct examples, with the most complex being the successful performance of catalyzed cross-coupling reactions. Finally, we discuss the safety implications of such systems and propose measures to prevent their misuse., Comment: Version 1, April 11, 2023. 48 pages
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- 2023
27. Relay-based identification of Aerodynamic and Delay Sensor Dynamics with applications for Unmanned Aerial Vehicles
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Peringal, Anees, Chehadeh, Mohamad, Boiko, Igor, and Zweiri, Yahya
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Electrical Engineering and Systems Science - Systems and Control - Abstract
In this paper, we present a real-time system identification method based on relay feedback testing with applications to multirotor unmanned aerial vehicles. The proposed identification method provides an alternative to the expensive lab testing of certain UAV dynamic parameters. Moreover, it has the advantage of identifying the parameters that get changed throughout the operation of the UAV, which requires onboard identification methods. The modified relay feedback test (MRFT) is used to generate stable limit cycles at frequency points that reveal the underlying UAV dynamics. The locus of the perturbed relay system (LPRS) is used to predict the exact amplitude and frequency of these limit cycles. Real-time identification is achieved by using the homogeneity properties of the MRFT and the LPRS which are proven in this paper. The proposed identification method was tested experimentally to estimate the aerodynamic parameters as well as the onboard sensor's time delay parameters. The MRFT testing takes a few seconds to perform, and the identification computations take an average of 0.2 seconds to complete in modern embedded computers. The proposed identification method is compared against state-of-the-art alternatives. Advantages in identification accuracy and quantification of uncertainty in estimated parameters are shown., Comment: 9 pages, 5 figures, This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible
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- 2023
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28. GPT-4 Technical Report
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OpenAI, Achiam, Josh, Adler, Steven, Agarwal, Sandhini, Ahmad, Lama, Akkaya, Ilge, Aleman, Florencia Leoni, Almeida, Diogo, Altenschmidt, Janko, Altman, Sam, Anadkat, Shyamal, Avila, Red, Babuschkin, Igor, Balaji, Suchir, Balcom, Valerie, Baltescu, Paul, Bao, Haiming, Bavarian, Mohammad, Belgum, Jeff, Bello, Irwan, Berdine, Jake, Bernadett-Shapiro, Gabriel, Berner, Christopher, Bogdonoff, Lenny, Boiko, Oleg, Boyd, Madelaine, Brakman, Anna-Luisa, Brockman, Greg, Brooks, Tim, Brundage, Miles, Button, Kevin, Cai, Trevor, Campbell, Rosie, Cann, Andrew, Carey, Brittany, Carlson, Chelsea, Carmichael, Rory, Chan, Brooke, Chang, Che, Chantzis, Fotis, Chen, Derek, Chen, Sully, Chen, Ruby, Chen, Jason, Chen, Mark, Chess, Ben, Cho, Chester, Chu, Casey, Chung, Hyung Won, Cummings, Dave, Currier, Jeremiah, Dai, Yunxing, Decareaux, Cory, Degry, Thomas, Deutsch, Noah, Deville, Damien, Dhar, Arka, Dohan, David, Dowling, Steve, Dunning, Sheila, Ecoffet, Adrien, Eleti, Atty, Eloundou, Tyna, Farhi, David, Fedus, Liam, Felix, Niko, Fishman, Simón Posada, Forte, Juston, Fulford, Isabella, Gao, Leo, Georges, Elie, Gibson, Christian, Goel, Vik, Gogineni, Tarun, Goh, Gabriel, Gontijo-Lopes, Rapha, Gordon, Jonathan, Grafstein, Morgan, Gray, Scott, Greene, Ryan, Gross, Joshua, Gu, Shixiang Shane, Guo, Yufei, Hallacy, Chris, Han, Jesse, Harris, Jeff, He, Yuchen, Heaton, Mike, Heidecke, Johannes, Hesse, Chris, Hickey, Alan, Hickey, Wade, Hoeschele, Peter, Houghton, Brandon, Hsu, Kenny, Hu, Shengli, Hu, Xin, Huizinga, Joost, Jain, Shantanu, Jain, Shawn, Jang, Joanne, Jiang, Angela, Jiang, Roger, Jin, Haozhun, Jin, Denny, Jomoto, Shino, Jonn, Billie, Jun, Heewoo, Kaftan, Tomer, Kaiser, Łukasz, Kamali, Ali, Kanitscheider, Ingmar, Keskar, Nitish Shirish, Khan, Tabarak, Kilpatrick, Logan, Kim, Jong Wook, Kim, Christina, Kim, Yongjik, Kirchner, Jan Hendrik, Kiros, Jamie, Knight, Matt, Kokotajlo, Daniel, Kondraciuk, Łukasz, Kondrich, Andrew, Konstantinidis, Aris, Kosic, Kyle, Krueger, Gretchen, Kuo, Vishal, Lampe, Michael, Lan, Ikai, Lee, Teddy, Leike, Jan, Leung, Jade, Levy, Daniel, Li, Chak Ming, Lim, Rachel, Lin, Molly, Lin, Stephanie, Litwin, Mateusz, Lopez, Theresa, Lowe, Ryan, Lue, Patricia, Makanju, Anna, Malfacini, Kim, Manning, Sam, Markov, Todor, Markovski, Yaniv, Martin, Bianca, Mayer, Katie, Mayne, Andrew, McGrew, Bob, McKinney, Scott Mayer, McLeavey, Christine, McMillan, Paul, McNeil, Jake, Medina, David, Mehta, Aalok, Menick, Jacob, Metz, Luke, Mishchenko, Andrey, Mishkin, Pamela, Monaco, Vinnie, Morikawa, Evan, Mossing, Daniel, Mu, Tong, Murati, Mira, Murk, Oleg, Mély, David, Nair, Ashvin, Nakano, Reiichiro, Nayak, Rajeev, Neelakantan, Arvind, Ngo, Richard, Noh, Hyeonwoo, Ouyang, Long, O'Keefe, Cullen, Pachocki, Jakub, Paino, Alex, Palermo, Joe, Pantuliano, Ashley, Parascandolo, Giambattista, Parish, Joel, Parparita, Emy, Passos, Alex, Pavlov, Mikhail, Peng, Andrew, Perelman, Adam, Peres, Filipe de Avila Belbute, Petrov, Michael, Pinto, Henrique Ponde de Oliveira, Michael, Pokorny, Pokrass, Michelle, Pong, Vitchyr H., Powell, Tolly, Power, Alethea, Power, Boris, Proehl, Elizabeth, Puri, Raul, Radford, Alec, Rae, Jack, Ramesh, Aditya, Raymond, Cameron, Real, Francis, Rimbach, Kendra, Ross, Carl, Rotsted, Bob, Roussez, Henri, Ryder, Nick, Saltarelli, Mario, Sanders, Ted, Santurkar, Shibani, Sastry, Girish, Schmidt, Heather, Schnurr, David, Schulman, John, Selsam, Daniel, Sheppard, Kyla, Sherbakov, Toki, Shieh, Jessica, Shoker, Sarah, Shyam, Pranav, Sidor, Szymon, Sigler, Eric, Simens, Maddie, Sitkin, Jordan, Slama, Katarina, Sohl, Ian, Sokolowsky, Benjamin, Song, Yang, Staudacher, Natalie, Such, Felipe Petroski, Summers, Natalie, Sutskever, Ilya, Tang, Jie, Tezak, Nikolas, Thompson, Madeleine B., Tillet, Phil, Tootoonchian, Amin, Tseng, Elizabeth, Tuggle, Preston, Turley, Nick, Tworek, Jerry, Uribe, Juan Felipe Cerón, Vallone, Andrea, Vijayvergiya, Arun, Voss, Chelsea, Wainwright, Carroll, Wang, Justin Jay, Wang, Alvin, Wang, Ben, Ward, Jonathan, Wei, Jason, Weinmann, CJ, Welihinda, Akila, Welinder, Peter, Weng, Jiayi, Weng, Lilian, Wiethoff, Matt, Willner, Dave, Winter, Clemens, Wolrich, Samuel, Wong, Hannah, Workman, Lauren, Wu, Sherwin, Wu, Jeff, Wu, Michael, Xiao, Kai, Xu, Tao, Yoo, Sarah, Yu, Kevin, Yuan, Qiming, Zaremba, Wojciech, Zellers, Rowan, Zhang, Chong, Zhang, Marvin, Zhao, Shengjia, Zheng, Tianhao, Zhuang, Juntang, Zhuk, William, and Zoph, Barret
- Subjects
Computer Science - Computation and Language ,Computer Science - Artificial Intelligence - Abstract
We report the development of GPT-4, a large-scale, multimodal model which can accept image and text inputs and produce text outputs. While less capable than humans in many real-world scenarios, GPT-4 exhibits human-level performance on various professional and academic benchmarks, including passing a simulated bar exam with a score around the top 10% of test takers. GPT-4 is a Transformer-based model pre-trained to predict the next token in a document. The post-training alignment process results in improved performance on measures of factuality and adherence to desired behavior. A core component of this project was developing infrastructure and optimization methods that behave predictably across a wide range of scales. This allowed us to accurately predict some aspects of GPT-4's performance based on models trained with no more than 1/1,000th the compute of GPT-4., Comment: 100 pages; updated authors list; fixed author names and added citation
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- 2023
29. Studying LiFePO4 Powder Samples Via X-ray Diffraction Techniques Using Artificial Neural Networks
- Author
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Boiko, M. E., Sharko, M. D., Boiko, A. M., Bobyl, A. V., and Nikolaev, V. I.
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- 2023
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30. PROJECT-BASED LEARNING TECHNOLOGIES AS A MEANS OF FORMATION OF MULTICULTURAL COMMUNICATIVE COMPETENCE OF FUTURE SPECIALISTS IN THE FIELD OF TOURISM IN THE CONDITIONS OF BLENDED LEARNING
- Author
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Kozhushko Svitlana and Boiko Liubov
- Subjects
tourism ,hotel and restaurant business ,project technologies ,multicultural communicative competence ,future specialists in the field of tourism ,blended learning ,Education ,Psychology ,BF1-990 - Abstract
The aim of the article is to investigate and theoretically substantiate the role of project-based technologies as a means of developing multicultural communicative competence in future tourism professionals within the context of blended learning. The effectiveness of tourism and hotel business depends on a set of factors. Among them is the professional competence of employees which reflects the ability and willingness of specialists to use their knowledge and practical skills in practice, and thus forming the model of a practitioner capable of solving problems in the chosen field of activity and demonstrating their high efficiency. In addition to professional competence, a future specialist in the field of tourism must have intercultural communication competence which reveals itself through the specific way of carrying out productive activity, and is formed during the period of training at higher education institution as a part of the process of project activity. It is assumed that project activity is treated as the goal and method of learning which creates conditions for the development of skills underlying the competence. Among the skills are: creative thinking, reflection, goal setting, forecasting, choosing effective solutions, creating working teams, achieving results and evaluation of their effectiveness. The article considers the project technology as a means of the formation of multicultural communicative competence of future specialists in the field of tourism. It is stated that expedient and properly organized work on the project during the study of language material will help to form and improve specific language skills, which will lead to the development of multicultural communicative competence. The article focuses on the implementation of principles of project technology into the process of teaching foreign languages to students of speciality 242 “Tourism and Recreation”. The paper presents the analysis of the main features of project-based learning as well as the stages of work project. It also reflects the experience of application of project method in the process of the formation of multicultural communicative competence of future specialists in the field of tourism. It is proved that the use of project method in foreign language classes in the sphere of professional communication contributes to the development of students’ competencies as a set of knowledge, skills and abilities that ensure their readiness to solve specific problems in a multicultural environment. The main advantages of implementation of project technology were defined based on the conceptual analysis of pedagogical literature, own pedagogical experience, systematization of theoretical approaches and methods existing in the educational environment of higher school. It is noted that properly organized work on the project at classes on professionally oriented foreign language not only forms multicultural communicative competence, but also allows forming professional, social competences in parallel. As a result, one more goal of training in higher education institution is achieved, namely the formation of students’ project competence. It has been concluded that project-based activities not only enable students to learn the language, thereby developing multicultural communicative competence, but also contribute to the acquisition of academic skills and the formation of integrative project-based experience in the process of studying a range of academic disciplines.
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- 2024
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31. Preferences for Peer Support Amongst Families Engaged in Paediatric Screening Programmes: The Perspectives of Parents Involved in Screening for Type 1 Diabetes in Children Aged 3–13
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Ian Litchfield, Lauren M. Quinn, Felicity Boardman, Olga Boiko, Parth Narendran, Shivam Choundhary, Naga Setti, Veer Sheth, and Sheila M. Greenfield
- Subjects
children and young people ,long‐term conditions ,peer support ,population screening ,Type 1 diabetes ,Medicine (General) ,R5-920 ,Public aspects of medicine ,RA1-1270 - Abstract
ABSTRACT Introduction This work describes a secondary analysis of a qualitative data set originally used to understand parent participants' preferences for the design and implementation of a screening programme for paediatric Type 1 diabetes (T1D). From this, their spontaneous preferences for peer support emerged, described here in the context of existing peer support programmes for the newly diagnosed alongside suggestions for their incorporation into screening programmes for T1D and a range of other conditions. Methods Data were collected from semi‐structured interviews conducted with parents of children aged 3–13 years to explore their expectations, perceptions and preferences of a T1D paediatric screening programme. A secondary analysis of interviews from participants who spontaneously raised preferences for peer support was used to populate a novel framework informed by NHS England's key principles for the same, namely, Shared experiences and reciprocated support, Accessibility and inclusivity and Person‐centred and integrated peer support. Results Parents in 29 of 33 interviews spontaneously described the potential value of peer support if receiving a result indicating a positive (presymptomatic T1D result) from a screening programme. Specifically, the value of ‘Shared experiences and reciprocated support’ in terms of emotional support and reassurance, and access to more directly interpretable and relevant information related to the condition; ‘Accessibility and inclusivity’ relating to access to a community of similar individuals, whether in person or online; ‘Person‐centred and integrated peer‐support’ and the need for support reflecting the changing need of the child and the integration of peer support with clinical care. Conclusions The needs of peer support described by parents involved in T1D paediatric screening appear to be shared with those of families with children diagnosed with a range of life‐altering conditions. Although the needs of peer support for paediatric screening may differ across conditions, our findings are a valuable starting point for its design both in T1D and other examples of similar population screening programmes. Patient or Public Contribution Patients and the public have been involved throughout the design of the ELSA study and have worked with us to inform the study process. They contributed to the design and content of patient‐facing materials, the content of our topic guides and the analysis and interpretation of our findings.
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- 2024
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32. The Role of Time Delay in Sim2real Transfer of Reinforcement Learning for Cyber-Physical Systems
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Chehadeh, Mohamad, Boiko, Igor, and Zweiri, Yahya
- Subjects
Electrical Engineering and Systems Science - Systems and Control ,Computer Science - Robotics - Abstract
This paper analyzes the simulation to reality gap in reinforcement learning (RL) cyber-physical systems with fractional delays (i.e. delays that are non-integer multiple of the sampling period). The consideration of fractional delay has important implications on the nature of the cyber-physical system considered. Systems with delays are non-Markovian, and the system state vector needs to be extended to make the system Markovian. We show that this is not possible when the delay is in the output, and the problem would always be non-Markovian. Based on this analysis, a sampling scheme is proposed that results in efficient RL training and agents that perform well in realistic multirotor unmanned aerial vehicle simulations. We demonstrate that the resultant agents do not produce excessive oscillations, which is not the case with RL agents that do not consider time delay in the model., Comment: 6 pages,4 figures, Submitted to ICRA2023
- Published
- 2022
33. Analysis of the Effect of Time Delay for Unmanned Aerial Vehicles with Applications to Vision Based Navigation
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Humais, Muhammad Ahmed, Chehadeh, Mohamad, Boiko, Igor, and Zweiri, Yahya
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Computer Science - Robotics ,Electrical Engineering and Systems Science - Systems and Control - Abstract
In this paper, we analyze the effect of time delay dynamics on controller design for Unmanned Aerial Vehicles (UAVs) with vision based navigation. Time delay is an inevitable phenomenon in cyber-physical systems, and has important implications on controller design and trajectory generation for UAVs. The impact of time delay on UAV dynamics increases with the use of the slower vision based navigation stack. We show that the existing models in the literature, which exclude time delay, are unsuitable for controller tuning since a trivial solution for minimizing an error cost functional always exists. The trivial solution that we identify suggests use of infinite controller gains to achieve optimal performance, which contradicts practical findings. We avoid such shortcomings by introducing a novel nonlinear time delay model for UAVs, and then obtain a set of linear decoupled models corresponding to each of the UAV control loops. The cost functional of the linearized time delay model of angular and altitude dynamics is analyzed, and in contrast to the delay-free models, we show the existence of finite optimal controller parameters. Due to the use of time delay models, we experimentally show that the proposed model accurately represents system stability limits. Due to time delay consideration, we achieved a tracking results of RMSE 5.01 cm when tracking a lemniscate trajectory with a peak velocity of 2.09 m/s using visual odometry (VO) based UAV navigation, which is on par with the state-of-the-art.
- Published
- 2022
34. Autonomous chemical research with large language models
- Author
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Boiko, Daniil A., MacKnight, Robert, Kline, Ben, and Gomes, Gabe
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- 2023
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35. USING TWO-PARAMETER VELOCITY PROFILES FOR THREE-DIMENSIONAL BOUNDARY LAYERS
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Boiko, A. V. and Demidenko, N. V.
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- 2023
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36. Influence of the Duration of the Use of Perennial Grasses on the Fertility of Irrigated Meadow-Chernozemic Soils in the Omsk Irtysh Region
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Aksenova, Yu. V., Boiko, V. S., and Timokhin, A. Yu.
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- 2023
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37. Race Composition of the Novosibirsk Population of Puccinia graminis f. sp. tritici
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Skolotneva, E. S., Kelbin, V. N., Morgunov, A. I., Boiko, N. I., Shamanin, V. P., and Salina, E. A.
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- 2023
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38. Laser Cutting of Aluminum Alloys Using Pulsed Radiation from a CO2 Laser under Conditions of an Optical Discharge in an Argon Jet
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Shulyat’ev, V. B., Gulov, M. A., Karpov, E. V., Malikov, A. G., and Boiko, K. R.
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- 2023
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39. Crystals of the Phenazine Coordination Polymer with the Third Order Symmetry Axis: Formation, Properties
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Kompan, M. E., Malyshkin, V. G., Boiko, M. E., Sharkov, M. D., Sapurina, I. Yu., and Shishov, M. A.
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- 2023
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40. The rs6265 Polymorphism of the BDNF Gene in the Population of Patients with Multiple Sclerosis in the Tomsk Region
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Titova, M. A., Alifirova, V. M., Kamenskikh, E. M., Musina, N. F., Nikolaeva, T. N., Paderina, D. Z., Boiko, A. S., and Ivanova, S. A.
- Published
- 2023
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41. Design of Dynamics Invariant LSTM for Touch Based Human-UAV Interaction Detection
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Peringal, Anees, Chehadeh, Mohamad, Azzam, Rana, Hamandi, Mahmoud, Boiko, Igor, and Zweiri, Yahya
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Computer Science - Robotics ,Electrical Engineering and Systems Science - Systems and Control - Abstract
The field of Unmanned Aerial Vehicles (UAVs) has reached a high level of maturity in the last few years. Hence, bringing such platforms from closed labs, to day-to-day interactions with humans is important for commercialization of UAVs. One particular human-UAV scenario of interest for this paper is the payload handover scheme, where a UAV hands over a payload to a human upon their request. In this scope, this paper presents a novel real-time human-UAV interaction detection approach, where Long short-term memory (LSTM) based neural network is developed to detect state profiles resulting from human interaction dynamics. A novel data pre-processing technique is presented; this technique leverages estimated process parameters of training and testing UAVs to build dynamics invariant testing data. The proposed detection algorithm is lightweight and thus can be deployed in real-time using off the shelf UAV platforms; in addition, it depends solely on inertial and position measurements present on any classical UAV platform. The proposed approach is demonstrated on a payload handover task between multirotor UAVs and humans. Training and testing data were collected using real-time experiments. The detection approach has achieved an accuracy of 96\%, giving no false positives even in the presence of external wind disturbances, and when deployed and tested on two different UAVs., Comment: 13 pages, 13 figures, submitted to IEEE access, A supplementary video for the work presented in this paper can be accessed from https://youtu.be/29N_OXBl1mc
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- 2022
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42. Search for alpha and double alpha decays of natural Nd isotopes accompanied by gamma quanta
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Belli, P., Bernabei, R., Boiko, R. S., Cappella, F., Caracciolo, V., Cerulli, R., Danevich, F. A., Incicchitti, A., Kasperovych, D. V., Kobychev, V. V., Laubenstein, M., Leoncini, A., Merlo, V., Poda, D. V., Polischuk, O. G., Sokur, N. V., and Tretyak, V. I.
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- 2024
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43. Перспективи використання сучасних інтерактивних технологій в процесі підготовки поліцейського до діяльності в умовах воєнного стану
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O.І. Boiko and A.M. Melnyk
- Subjects
тактико-спеціальна підготовка ,поліцейські ,воєнний стан ,сучасні технології ,віртуальна реальність ,доповнена реальність ,Law in general. Comparative and uniform law. Jurisprudence ,K1-7720 - Abstract
У статті проаналізовано можливості застосування сучасних технологій у тактико-спеціаль- ній підготовці поліцейських в умовах воєнного стану. Воєнний стан створює надзвичайні ситуації, коли поліцейським доводиться працювати в умовах підвищеної небезпеки й нестабільності. У таких обставинах застосування сучасних технологій у тактико-спеціальній підготовці поліцейських стає надзвичайно важливим для забезпечення їхньої безпеки, ефективності та успішності виконання завдань. Обґрунтовано переваги використання таких технологій, як віртуальна реальність, доповнена реальність, безпілотні літальні апарати, роботизовані системи та штучний інтелект. Так, основними напрями застосування сучасних технологій у тактико-спеціальній підготовці поліцейських є: використання віртуальної реальності та доповненої реальності для відпрацювання практичних навичок, зокрема для відпрацювання бойових дій, що забезпечує більш ефективне навчання поліцейських; використання безпілотних літальних апаратів для спостереження та отримання інформації про обстановку на місцевості без ризику для життя поліцейських; використання роботизованих систем для виконання небезпечних або важких завдань, зокрема завдань з розмінування чи завдань з огляду місць масових захоронень з можливими мінами-пастками; використання штучного інтелекту для оптимізації роботи поліції у складних ситуаціях. Встановлено, що застосування сучасних технологій дозволяє підвищити ефективність навчання поліцейських, зменшити ризик для їхнього життя та покращити безпеку громадян. У зроблено висновок, що застосування сучасних технологій є невід’ємною складовою тактико-спеціальної підготовки поліцейських в умовах воєнного стану. Технології допомагають поліцейським ефективно протистояти загрозам, забезпечують безпеку та допомагають досягати успіху виконання завдань. Розвиток і вдосконалення цих технологій є важливим напрямом для підвищення ефективності поліцейської роботи в умовах воєнного стану. Впровадження сучасних технологій у такти- ко-спеціальній підготовці поліцейських є важливим завданням, яке дозволить підвищити ефективність діяльності поліції в умовах воєнного стану.
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- 2024
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44. Cognitive Model of the Tragic in Ukrainian Retranslations of Shakespeare's Plays
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Boiko, Yana and Nikonova, Vira
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The problem of reconstructing the conceptual content of Shakespeare's tragedies in chronologically distant Ukrainian translations is solved in the article by applying the method of complex poetical and cognitive analysis, which provides for research in two directions: genre -- text -- language (from the general characteristics of Shakespeare's poetics to the analysis of the language of his works in the source text and in Ukrainian translations), and concept -- conceptual scheme -- meaning (from the reconstruction of the relevant structures of the author's consciousness to the identification of the conceptual priorities of the writer and translators). The procedures of linguistic and cognitive modelling reveal possible directions of applying the cognitive dimension of Linguistics in studying the plurality in translation regarding to the fact that the epoch in which the translator lived and his own worldview can influence the representation of the author's idea in translation. Comparing the pre- and post-Soviet translations of Shakespeare's "Hamlet" into Ukrainian allowed proving the hypothesis that the chronologically distant retranslations of the source text must be perceived as such influenced by the national and cultural specifics of the time which improves the theory of plurality in translation by the cognitive perspective.
- Published
- 2021
45. Institutional Environment for Strengthening the Sustainability of the Water Management Sector in the Conditions of External Risks and Threats
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Levkovska Liudmyla V., Mandzyk Valeriy M., and Boiko Volodymyr V.
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water management ,water management sector ,institutional support ,state-based regulation ,sustainable development ,Business ,HF5001-6182 - Abstract
The article considers the importance of the functional influence of the institutional environment on strengthening the sustainability of the water management sector and the overall increase in its efficiency in the context of the growing destructive impact of external risks and threats. The key aspects related to the formation of effective institutional mechanisms aimed at ensuring sustainable development of water resources and reducing the vulnerability of the water sector to external influences are identified. The importance of creating an effective regulatory framework that would comprehensively contribute to ensuring the sustainability of the water management sector in the long term is analyzed, taking into account the variety of external risks, such as climate change, environmental pollution, as well as the destructive impact of military operations. The issues of implementation of institutional innovations in the system of regulation of the water management sector in Ukraine are considered, in particular, such as the introduction of the latest technologies for water resources management, development of a system of interaction with non-governmental public and environmental institutions in the decision-making process, as well as promoting their participation in the formation of water resources management policy. The necessity of increasing attention to the institutional aspects of water resources management is substantiated, this will contribute to the conservation and sustainable use of water resources in the face of growing external risks and threats. It is proved that effective management of water resources requires an integrated approach, which should take into account not only technical aspects, but also socioeconomic and institutional factors. It is determined that the presence of stable institutional structures contributes to the creation of appropriate conditions for the development of the water management sector, as well as its functional adaptation to changes in the external environment. Institutional models of water resources management have been studied, based on which key principles and approaches that can be used to generally increase the sustainability of the water management sector in the context of external risks and threats have been identified.
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- 2024
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46. Structure of a supersonic gas-liquid jet at high liquid concentrations
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Boiko, V. M., Lotov, V. V., Nesterov, A. Yu., and Poplavski, S. V.
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- 2023
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47. Novel and Previously Known Mutations of the KCNV2 Gene Cause Various Variants of the Clinical Course of Cone Dystrophy with Supernormal Rod Response in Children
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Almaqdad Alsalloum, Ilya Mosin, Kristina Shefer, Natalia Mingaleva, Alexander Kim, Sofya Feoktistova, Boris Malyugin, Ernest Boiko, Shamil Sultanov, Olga Mityaeva, and Pavel Volchkov
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cone dystrophy ,KCNV2 ,electroretinogram ,compound heterozygous mutations ,genetics ,Medicine - Abstract
Background/Objectives: Cone dystrophy with supernormal rod response (CDSRR) is a rare autosomal recessive retinal disorder characterized by a delayed and markedly decreased photoreceptor response. In this article, we aim to describe the clinical course and associated molecular findings in children with cone dystrophy with supernormal rod response associated with recessive mutations in the KCNV2 gene, which encodes a subunit (Kv8.2) of the voltage-gated potassium channel. Methods: The genetic testing of two patients included the next-generation sequencing of a retinal dystrophy panel and direct Sanger sequencing to confirm KCNV2 gene variants, in addition to an electroretinogram (ERG) and spectral domain optical coherence tomography (SD-OCT). Results: Cone dystrophy with supernormal rod response is associated with identified variants in the KCNV2 gene. The genetic analysis of the first case identified a compound heterozygous mutation in the KCNV2 gene, including a de novo nonsense duplication at cDNA position 1109, which led to the premature termination of the p.Lys371Ter codon in the second extracellular domain of the protein. Two patients showed changes in the full-field electroretinogram, especially in the first case, which demonstrated a close to supernormal total electroretinogram amplitude. This study increased the range of the KCNV2 mutation database, added an unreported de novo substitution pattern to KCNV2 gene variants, and linked it to the evaluated clinical studies. Conclusions: The initial clinical manifestations were varied, but both patients presented with hypermetropia and slight exotropia. The ERG findings are characteristic of KCNV2 mutations, and patients exhibited an increased b-wave latency in DA3.0 ERG (combined rod–cone response).
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- 2024
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48. Chromatin insulation orchestrates matrix metalloproteinase gene cluster expression reprogramming in aggressive breast cancer tumors
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Llinàs-Arias, Pere, Ensenyat-Mendez, Miquel, Íñiguez-Muñoz, Sandra, Orozco, Javier I. J., Valdez, Betsy, Salomon, Matthew P., Matsuba, Chikako, Solivellas-Pieras, Maria, Bedoya-López, Andrés F., Sesé, Borja, Mezger, Anja, Ormestad, Mattias, Unzueta, Fernando, Strand, Siri H., Boiko, Alexander D., Hwang, E Shelley, Cortés, Javier, DiNome, Maggie L., Esteller, Manel, Lupien, Mathieu, and Marzese, Diego M.
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- 2023
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49. A global long-term daily reanalysis of reference evapotranspiration for drought and food-security monitoring
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Hobbins, Mike, Jansma, Timen, Sarmiento, Daniel P., McNally, Amy, Magadzire, Tamuka, Jayanthi, Harikishan, Turner, Will, Hoell, Andrew, Husak, Greg, Senay, Gabriel, Boiko, Olena, Budde, Michael, Mogane, Pamella, and Dewes, Candida F.
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- 2023
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50. Complex Restoration of Oil-Contaminated Soils with New Organomineral Reagents
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Akhanova , Tanzilya Rinatovna, Lyubchenko, Nina Pavlovna, Sarmurzina, Raushan Gaisiyevna, Karabalin, Uzakbai Suleimenovich, Muhr, Herve, and Boiko, Galina Ilyasovna
- Published
- 2023
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