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1. Status and initial physics performance studies of the MPD experiment at NICA

Author

MPD Collaboration, Abgaryan, V., Kado, R. Acevedo, Afanasyev, S. V., Agakishiev, G. N., Alpatov, E., Altsybeev, G., Hernández, M. Alvarado, Andreeva, S. V., Andreeva, T. V., Andronov, E. V., Anfimov, N. V., Aparin, A. A., Astakhov, V. I., Atkin, E., Aushev, T., Averichev, G. S., Averyanov, A. V., Ayala, A., Babkin, V. A., Babutsidze, T., Balashov, I. A., Bancer, A., Barabanov, M. Yu., Baranov, D. A., Baranova, N., Barbashina, N., Baskakov, A. E., Batyuk, P. N., Bazhazhin, A. G., Baznat, D., Baznat, M., Bazylev, S. N., Beltran, L. G. E., Belyaev, A. V., Belyaev, S. E., Belyaeva, E. V., Benda, V., Bielewicz, M., Bietenholz, W., Blaschke, D., Blau, D., Bogdanova, G., Bogoslovsky, D. N., Boguslavsky, I. V., Boos, E., Botvina, A., Bravina, L., Bulychjov, S. A., Buryakov, M. G., Butenko, A. V., Butorin, A. V., Buzin, S. G., Bychkov, A., Bychkov, A. V., Cabellero, R. R., Arciniega, D. Chaires, Chalyshev, V. V., Chen, W., Chen, Z., Cheplakova, V. A., Chepurnov, V. F., Chepurnov, V. V., Cheremnova, M., Cheremukhina, G. A., Chlad, L., Chudoba, P., Chumakov, P. V., Cuautle, E., Czarnynoga, M., Dabrowska, B., Dąbrowski, D., Demanov, A., Dementyev, D. V., Deng, Z., Dmitriev, A. V., Dodokhov, V. Kh., Dolbilina, E. V., Dolbilov, A. G., Domínguez, I., Dominik, W., Donets, D. E., Dronik, V., Dubrovin, A. Yu., Dudziński, A., Dulov, P., Dunin, N. V., Dunin, V. B., Dyatlov, V., Dydyshko, V. F., Efremov, A. A., Egorov, D. S., Elsha, V. V., Emelyanov, A. E., Emelyanov, N. E., Ermakova, V. G., Eyyubova, G., Fang, D., Fateev, O. V., Fedin, O., Fedotov, Yu. I., Fedyunin, A. A., Feng, C., Feng, S., Feofilov, G. A., Filippov, I. A., Fischer, T., Formenko, K., Gaganova, M. A., Gandzhelashvili, T. T., Gavrishchuk, O. P., Geraksiev, N., Gerasimov, S. E., Gertsenberger, K. V., Golosov, O., Golovatyuk, V. M., Golubeva, M., Goncharov, I., Gorbunov, N. V., Grabowski, M., Grodzicka-Kobyłka, M., Grodzicki, K., Grzyb, J., Guber, F., Guirado, A., Guskov, A. V., Guzey, V., He, W., Rosas, L. A. Hernández, Huang, M., Huang, Y., Idczak, R., Idrisov, D., Igolkin, S. N., Ilieva, M., Isupov, A. Yu., Ivanishchev, D., Ivanov, A. V., Ivanytskyi, O., Ivashkin, A., Izvestnyy, A., Jaworska, E., Jiao, J., Kadochnikov, I., Kakurin, S. I., Kankiewicz, P., Kapishin, M. N., Karmanov, D., Karpushkin, N., Kartashova, L. A., Kashirin, E., Kasprowicz, G., Kasumov, Yu., Kechechyan, A. O., Kekelidze, G. D., Kekelidze, V. D., Khanzadeev, A., Kharlamov, P., Khilinova, O. A., Khodzhibagiyan, G. G., Khosravi, N., Khvorostukhin, A., Khyzhniak, Y., Kikvadze, V., Kireyeu, V. A., Kiryushin, Yu. T., Kiryutin, I. S., Kisiel, A., Klyuev, A., Klyukhin, V., Kochenda, L., Kodolova, O., Kolesnikov, V. I., Kolozhvari, A., Komarov, V. G., Kondratiev, V. P., Korolev, M., Korotkikh, V., Kotov, D., Kovalenko, S., Kovalenko, V. N., Kowalski, S., Kozlenko, N. A., Krakowiak, M., Kramarenko, V. A., Krasnova, L. M., Kravchov, P., Krechetov, Yu. F., Kruglova, I. V., Krylov, A. V., Krylov, V., Kryshen, E., Kryukov, A., Kubankin, A., Kugler, A., Kuich, M., Kukarnikov, S. I., Kuklin, S. N., Kukulin, V., Kuleshov, S., Kulikov, E. A., Kulikov, V. V., Kurepin, A., Kushpil, S., Kuzmin, V. S., Kvita, J., Lanskoy, D., Lashmanov, N. A., Ławryńczuk, M., Lazareva, T. V., Lednicky, R., Li, S., Li, Z., Litvinenko, A. G, Litvinenko, E. I., Litvinova, G. N., Liu, D., Liu, F., Livanov, A. N., Lobanov, V. I., Lobanov, Yu. Yu., Lobastov, S. P., Lokhtin, I., Lu, P., Lukstinsh, Yu. R., Luong, B. V., Łysakowski, B., Ma, Y., Machavariani, A., Madigozhin, D. T., Maksiak, B., Maksimenkova, V. I., Malakhov, A. I., Malayev, M., Maldonado, I., Maldonado, J. C., Malikov, I. V., Malinina, L., Maltsev, N. A., Maria, N. V., Shopova, M., Martemianov, M. A., Maslan, M., Matsyuk, M. A., Matulewicz, T., Melnikov, D. G., Merkin, M., Merts, S. P., Meshkov, I. N., Mianowski, S., Migulina, I. I., Mikhaylov, K. R., Milewicz-Zalewska, M., Minaev, Yu. I., Molokanova, N. A., Moreno-Barbosa, E., Morozov, S., Moshkin, A. A., Moshkovsky, I. V., Moskovsky, A. E., Movchan, S. A., Mudrokh, A. A., Mukhin, K. A., Murin, Yu. A., Musul'manbekov, Zh. Zh., Myalkovsky, V. V., Myktybekov, D., Paredes, L. L. Narvaez, Nauruzbaev, D. K., Nazarova, E. N., Nechaevsky, A. V., Nesterov, D. G., Nie, M., Nieto-Marín, P. A., Nigmatkulov, G., Nikitin, V. A., Nioradze, M., Niu, X., Nowak, W., Nozka, L., Oleks, I. A., Olshevsky, A. G., Orlov, O. E., Parfenov, P., Parzhitsky, S. S., Patiño, M. E., Pavlyukevich, V. A., Penkin, V. A., Peresedov, V. F., Peresunko, D., Peshekhonov, D. V., Petrov, V. A., Petrushanko, S., Petukhov, O., Piasecki, K., Pichugina, D. V., Piloyan, A., Pilyar, A. V., Piyadin, S. M., Plamowski, S., Platonova, M., Pluta, J., Potanina, A. E., Potrebenikov, Yu. K., Poźniak, K., Prokhorova, D. S., Prokofiev, N. A., Protoklitow, F., Prozorov, A., Pszczel, D., Puchkov, A. M, Pukhaeva, N., Puławski, S., Rakhmatullina, A. R., Herrera, L. F. Rebolledo, Reyna-Ortiz, V. Z., Riabov, V., Riabov, Yu., Ridinger, N. O., Rikhvitsky, V., Rodriguez-Cahuantzi, M., Rogachevsky, O. V., Rogov, V. Yu., Rokita, P., Romanenko, G., Romaniuk, R., Romanova, A., Rosłon, K., Rossler, T., Calderon, E. F. Rozas, Rufanov, I. A., Rumyantsev, M. M., Rustamov, A., Rybakov, A. A., Rybczyński, M., Rybka, D., Rymshina, A. A., Rzadkiewicz, J., Sadygov, Z. Ya. -O., Samsonov, V. A., Sandul, V. S., Sattarov, R., Savenkov, A. A., Schmidt, K., Seballos, S. S., Sedykh, S. A., Selyuzhenkov, I., Semchukova, T. V., Semenov, A. Yu., Semenova, I. A., Sergeev, S. V., Sergeeva, N. A., Serochkin, E. V., Seryakov, A. Yu., Shabunov, A. V., Shanidze, R., Shcheglova, L., Shchinov, B. G., Shen, C., Shen, Y., Sherbakov, A. N., Sheremetyev, A. D., Sheremetyeva, A. I., Shindin, R. A., Shipunov, A. V., Shitenkov, M. O., Shtejer, D. K., Shukla, U., Shunko, A. A., Shutov, A. V., Shutov, V. B., Sidorin, A. O., Skwira-Chalot, I., Slepnev, I. V., Slepnev, V. M., Slepov, I. P., Solnyshkin, Yu. A., Solomin, A., Solovyeva, T., Sorin, A. S., Starecki, T., Stefanek, G., Stepaniak, J., Streletskaya, E. A., Strikhanov, M., Strizh, T. A., Strizhak, A., Sukhov, N. V., Sukhovarov, S. I., Sun, X., Surkov, N. N., Suvarieva, D., Svalov, V. L., Świderski, L., Syntfeld-Każuch, A., Szcześniak, T., Szewiński, J., Tang, Z., Taranenko, A., Tarasov, N. A., Tcholakov, V., Tejeda-Muñoz, G., Tejeda-Yeomans, M. E., Terletskiy, A. V., Teryaev, O. V., Tikhomirov, V. V., Timoshenko, A. A., Tkachev, G. P., Toneev, V. D., Topilin, N. D., Traczyk, T., Tretyakova, T., Trubnikov, A. V., Trubnikov, G. V., Tyapkin, I. A., Udovenko, S. Yu., Poblete, P. A. Ulloa, Urbaniak, M., Urumov, V., Valenzuela-Cazares, L., Valiev, F. F., Vasendina, V. A., Vasiliev, I. N., Vasilyev, A., Vechernin, V. V., Vereshchagin, S. V., Vladimirova, N. N., Vlasov, N. V., Vodopyanov, A. S., Vokhmyanina, K., Volkov, V., Volodina, O. A., Voronin, A. A., Voronyuk, V., Wang, F., Wang, J., Wang, X., Wang, Y., Wieczorek, P., Wielanek, D., Włodarczyk, Z., Wójcik, K., Wu, K., Xiao, Z., Xu, Q., Yang, C., Yang, H., Yang, Q., Yarygin, G. A., Yordanova, L., Yu, T., Yuan, Z., Yurevich, V. I., Zabołotny, W., Zabrodin, E., Zaitseva, M. V., Saa, J. A. Zamora, Zamyatin, N. I., Zaporozhets, S. A., Zarochentsev, A. K., Zepeda-Fernández, C. H., Zha, W., Zhalov, M., Zhang, Y., Zhang, Z., Zhao, C., Zherebchevsky, V. I., Zhezher, V. N., Zhong, C., Zhou, W., Zhu, X., Zinchenko, A. I., and Zinchenko, D. A.

Subjects
Physics - Instrumentation and Detectors, High Energy Physics - Experiment, Nuclear Experiment, Nuclear Theory
Abstract

The Nuclotron-base Ion Collider fAcility (NICA) is under construction at the Joint Institute for Nuclear Research (JINR), with commissioning of the facility expected in late 2022. The Multi-Purpose Detector (MPD) has been designed to operate at NICA and its components are currently in production. The detector is expected to be ready for data taking with the first beams from NICA. This document provides an overview of the landscape of the investigation of the QCD phase diagram in the region of maximum baryonic density, where NICA and MPD will be able to provide significant and unique input. It also provides a detailed description of the MPD set-up, including its various subsystems as well as its support and computing infrastructures. Selected performance studies for particular physics measurements at MPD are presented and discussed in the context of existing data and theoretical expectations., Comment: 53 pages, 68 figures, submitted as a Review article to EPJA

Published
2022
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2. Status and initial physics performance studies of the MPD experiment at NICA

Author

Abgaryan, V., Acevedo Kado, R., Afanasyev, S. V., Agakishiev, G. N., Alpatov, E., Altsybeev, G., Alvarado Hernández, M., Andreeva, S. V., Andreeva, T. V., Andronov, E. V., Anfimov, N. V., Aparin, A. A., Astakhov, V. I., Atkin, E., Aushev, T., Averichev, G. S., Averyanov, A. V., Ayala, A., Ayriyan, A., Babkin, V. A., Babutsidze, T., Balashov, I. A., Bancer, A., Barabanov, M. Yu., Baranov, D. A., Baranova, N., Barbashina, N., Baskakov, A. E., Batyuk, P. N., Bazgir, A., Bazhazhin, A. G., Baznat, D., Baznat, M., Bazylev, S. N., Beltran, L. G. E., Belyaev, A. V., Belyaev, S. E., Belyaeva, E. V., Benda, V., Bielewicz, M., Bietenholz, W., Blaschke, D., Blau, D., Bogdanova, G., Bogoslovsky, D. N., Boguslavsky, I. V., Boos, E., Botvina, A., Bravina, L., Bulychjov, S. A., Buryakov, M. G., Buša, J., Butenko, A. V., Butorin, A. V., Buzin, S. G., Bychkov, A., Bychkov, A. V., Chaires Arciniega, D., Chalyshev, V. V., Chen, W., Chen, Z., Cheplakova, V. A., Chepurnov, V. F., Chepurnov, V. V., Cheremnova, M., Cheremukhina, G. A., Chlad, L., Chlopik, A., Chudoba, P., Chumakov, P. V., Cuautle, E., Czarnynoga, M., Dabrowska, B., Dąbrowski, D., Demanov, A., Dementyev, D. V., Deng, Z., Dmitriev, A. V., Dodokhov, V. Kh., Dolbilina, E. V., Dolbilov, A. G., Domínguez, I., Dominik, W., Donets, D. E., Dronik, V., Dubrovin, A. Yu., Dudzinski, A., Dulov, P., Dunin, N. V., Dunin, V. B., Dyachenko, A., Dyatlov, V., Dydyshko, V. F., Efremov, A. A., Egorov, D. S., Elsha, V. V., Emelyanov, A. E., Emelyanov, N. E., Ermakova, V. G., Eyyubova, G., Fang, D., Fateev, O. V., Fedin, O., Fedotov, Yu. I., Fedyunin, A. A., Feng, C., Feng, S., Feofilov, G. A., Filippov, I. A., Fischer, T., Formenko, K., Gaganova, M. A., Gandzhelashvili, T. T., Gavrishchuk, O. P., Geraksiev, N., Gerasimov, S. E., Gertsenberger, K. V., Gevorgyan, N., Golosov, O., Golovatyuk, V. M., Golubeva, M., Goncharov, I., Gorbunov, N. V., Grabowski, M., Grigorian, H., Grodzicka-Kobylka, M., Grodzicki, K., Grzyb, J., Guber, F., Guirado, A., Guskov, A. V., Guzey, V., Hnatič, M., He, W., Hernández Rosas, L. A., Hnatic, S., Huang, M., Huang, Y., Idczak, R., Idrisov, D., Igolkin, S. N., Ilieva, M., Isupov, A. Yu., Ivanishchev, D., Ivanov, A. V., Ivanytskyi, O., Ivashkin, A., Izvestnyy, A., Jakubčinová, Z., Jaworska, E., Jiao, J., Kadochnikov, I., Kakurin, S. I., Kankiewicz, P., Kapishin, M. N., Karmanov, D., Karpushkin, N., Kartashova, L. A., Kashirin, E., Kasprowicz, G., Kasumov, Yu., Kechechyan, A. O., Kekelidze, G. D., Kekelidze, V. D., Khanzadeev, A., Kharlamov, P., Khilinova, O. A., Khodzhibagiyan, G. G., Khosravi, N., Khvorostukhin, A., Khyzhniak, Y., Kikvadze, V., Kireyeu, V. A., Kiryushin, Yu. T., Kiryutin, I. S., Kisiel, A., Klyuev, A., Klyukhin, V., Kochenda, L., Kodolova, O., Kolesnikov, V. I., Kolozhvari, A., Komarov, V. G., Kondratiev, V. P., Korolev, M., Korotkikh, V., Kotov, D., Kovalenko, A. D., Kovalenko, V. N., Kowalski, S., Kozlenko, N. A., Krakowiak, M., Kramarenko, V. A., Krasnova, L. M., Kravčáková, A., Kravchov, P., Krechetov, Yu. F., Kruglova, I. V., Krylov, A. V., Krylov, V., Kryshen, E., Kryukov, A., Kubankin, A., Kugler, A., Kuich, M., Kukarnikov, S. I., Kuklin, S. N., Kukulin, V., Kulikov, E. A., Kulikov, V. V., Kurepin, A., Kushpil, S., Kutyła, M., Kuzmin, V., Kvita, J., Lanskoy, D., Lashmanov, N. A., Ławryńczuk, M., Lazareva, T. V., Lednicky, R., Li, S., Li, Z., Litvinenko, A. G., Litvinenko, E. I., Litvinova, G. N., Liu, D., Liu, F., Livanov, A. N., Lobanov, V. I., Lobanov, Yu. Yu., Lobastov, S. P., Lokhtin, I., Lu, P., Lukstinsh, Yu. R., Luong, B. V., Łysakowski, B., Ma, Y., Machavariani, A., Madigozhin, D. T., Maksimenkova, V. I., Malakhov, A. I., Malayev, M., Maldonado, I., Maldonado, J. C., Malikov, I. V., Malinina, L., Maltsev, N. A., Márquez, E., Shopova, M., Martemianov, M. A., Maslan, M., Matsyuk, M. A., Matulewicz, T., Melnikov, D. G., Merkin, M., Merts, S. P., Meshkov, I. N., Mianowski, S., Migulina, I. I., Mikhaylov, K. R., Milewicz-Zalewska, M., Minaev, Yu. I., Molokanova, N. A., Moreno-Barbosa, E., Morozov, S., Moshkin, A. A., Moshkovsky, I. V., Moskovsky, A. E., Movchan, S. A., Mudrokh, A. A., Mukhin, K. A., Murin, Yu. A., Musul’manbekov, Zh. Zh., Myalkovsky, V. V., Myktybekov, D., Nauruzbaev, D. K., Nazarova, E. N., Nechaevsky, A. V., Nesterov, D. G., Nie, M., Nieto-Marín, P. A., Nigmatkulov, G., Nikitin, V. A., Nioradze, M., Niu, X., Nowak, W., Nozka, L., Oleks, I. A., Olshevsky, A. G., Orlov, O. E., Parfenov, P., Pasieka, D., Parzhitsky, S. S., Patiño, M. E., Pavlyukevich, V. A., Penkin, V. A., Peresedov, V. F., Peresunko, D., Peryt, M. J., Peshekhonov, D. V., Petrov, V. A., Petrushanko, S., Petukhov, O., Piasecki, K., Pichugina, D. V., Piloyan, A., Pilyar, A. V., Piyadin, S. M., Plamowski, S., Platonova, M., Pluta, J., Potanina, A. E., Potrebenikov, Yu. K., Poźniak, K., Prokhorova, D. S., Prokofiev, N. A., Protoklitow, F., Prozorov, A., Puchkov, A. M., Pukhaeva, N., Puławski, S., Rakhmatullina, A. R., Razin, S. V., Rebolledo Herrera, L. F., Reyna-Ortiz, V. Z., Riabov, V., Riabov, Yu., Ridinger, N. O., Rikhvitsky, V., Rodriguez-Cahuantzi, M., Rogachevsky, O. V., Rogov, V. Yu., Rokita, P., Romanenko, G., Romaniuk, R., Romanova, A., Rosłon, K., Rossler, T., Rozas Calderon, E. F., Rufanov, I. A., Rumyantsev, M. M., Rybakov, A. A., Rybczyński, M., Rybka, D., Rymshina, A. A., Rzadkiewicz, J., Sadygov, Z. Ya.-O., Samsonov, V., Samsonov, V. A., Sandul, V. S., Sattarov, R., Savenkov, A. A., Schmidt, K., Seballos, S. S., Sedykh, S. A., Selyuzhenkov, I., Semchukova, T. V., Semenov, A. Yu., Semenova, I. A., Sergeev, S. V., Sergeeva, N. A., Serochkin, E. V., Seryakov, A. Yu., Shabunov, A. V., Shah, U., Shanidze, R., Shcheglova, L., Shchinov, B. G., Shen, C., Shen, Y., Sherbakov, A. N., Sheremetyev, A. D., Sheremetyeva, A. I., Shindin, R. A., Shipunov, A. V., Shitenkov, M. O., Shtejer, D. K., Shukla, U., Shunko, A. A., Shutov, A. V., Shutov, V. B., Sidorin, A. O., Skwira-Chalot, I., Slepnev, I. V., Slepnev, V. M., Slepov, I. P., Solnyshkin, Yu. A., Solomin, A., Solovyeva, T., Sorin, A. S., Starecki, T., Stefanek, G., Streletskaya, E. A., Strikhanov, M., Strizh, T. A., Strizhak, A., Sukhov, N. V., Sukhovarov, S. I., Sun, X., Surkov, N. N., Suvarieva, D., Svalov, V. L., Syntfeld-Kazuch, A., Szewinski, J., Tang, Z., Taranenko, A., Tarasov, N. A., Tcholakov, V., Tejeda-Muñoz, G., Tejeda-Yeomans, M. E., Terletskiy, A. V., Teryaev, O. V., Tikhomirov, V. V., Timoshenko, A. A., Tkachev, G. P., Toneev, V. D., Topilin, N. D., Traczyk, T., Tretyakova, T., Trubnikov, A. V., Trubnikov, G. V., Tserruya, I., Tyapkin, I. A., Udovenko, S. Yu., Udrea, I. C., Urbaniak, M., Urumov, V., Val’a, M., Valenzuela-Cazares, L., Valiev, F. F., Vasendina, V. A., Vasiliev, I. N., Vasilyev, A., Vechernin, V. V., Vereshchagin, S. V., Vladimirova, N. N., Vlasov, N. V., Vodopyanov, A. S., Vokhmyanina, K., Volkov, V., Volkov, V., Volodina, O. A., Voronin, A. A., Voronyuk, V., Vrláková, J., Wang, F., Wang, J., Wang, X., Wang, Y., Wang, Y., Wang, Y., Wang, Y., Wieczorek, P., Wielanek, D., Włodarczyk, Z., Wójcik, K., Wu, K., Xiao, Z., Xu, Q., Yang, C., Yang, H., Yang, Q., Yarygin, G. A., Yordanova, L., Yu, T., Yuan, Z., Yurevich, V. I., Zabołotny, W., Zabrodin, E., Zaitseva, M. V., Zamyatin, N. I., Zaporozhets, S. A., Zarochentsev, A. K., Zepeda-Fernández, C. H., Zha, W., Zhalov, M., Zhang, Y., Zhang, Y., Zhang, Z., Zhao, C., Zherebchevsky, V. I., Zhezher, V. N., Zhong, C., Zhou, W., Zhu, X., Zhu, X., Zinchenko, A. I., Zinchenko, D. A., and Zryuev, V. N.

Published
2022
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3. Nonlinear Effect of Transport Current on Response of Metals to Electromagnetic Radiation

Author

Derev'anko, S. A., Tkachev, G. B., and Yampol'skii, V. A.

Subjects
Condensed Matter
Abstract

The nonlinear interaction of DC current flowing in a thin metal film with an external low-frequency AC electromagnetic field is studied theoretically. The nonlinearity is related to the influence of the magnetic field of the DC current and the magnetic field of the wave on the form of electron trajectories. This magnetodynamic mechanism of nonlinearity is the most typical for pure metals at low temperatures. We find that such interaction causes sharp kinks in the temporal dependence of the AC electric field of the wave on surface of the sample. The phenomenon of amplification of the electromagnetic signal on the metal surface is predicted. We also calculate the nonlinear surface impedance and show that it turns out to be imaginary-valued and its modulus decreases drastically with the increase of the wave amplitude., Comment: RevTex, 13 pages, 5 figures

Published
2000
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6. COMMUNITY-ACQUIRED PNEUMONIA: COMPARISON OF ETIOLOGICAL DIAGNOSTIC METHODS IN CLINICAL PRACTICE

Author

Pustovalov, A. A., Rvacheva, A. V., Chuchalin, A. G., Sokolov, E. I., Khaptkhaeva, G. E., Tkachev, G. A., and Kirill Zykov

Subjects
etiological diagnosis, community-acquired pneumonia, polymerase chain reaction, lcsh:R, lcsh:Medicine, microbiological examination, serological examination
Abstract

Aim. Comparison of different methods of community-acquired pneumonia (CAP) etiological diagnosis. Material and methods. A total of 20 male and 10 females patients 21 to 75 years of age entered the trial. All of them had CAP running a non-severe course. Microbiological and molecular-genetic methods were used to examine the patients’ sputum, blood serum serological tests were made to measure the level of IgM and IgG antibodies (AB) to Chlamydophila pneumoniae and Mycoplasma pneumoniae. Results. Pathogens were detected in 23(76.7%) patients. Microbiological examination (MBE) detected monobacterial contamination in 19 patients, polymerase chain reaction (pCR) identified monobacterial infection in 10 patients, mixed bacterial infection in 5 and viral-bacterial mixed contamination in 4 patients. MBE provided 19 positive results, PCR 30 ones. Serological examination detected IgM AB to Mycoplasma pneumoniae in 6 patients, sputum investigation with PCR detected the pathogen only in 2 patients. IgM AB to Chlamydophila pneumoniae were detected in 4 patients, PCR failed to detect infection agent. Conclusion. Current etiological diagnosis can be made with the highest efficacy with combination of three methods: microbiological for detection of bacterial pathogens (except atypical agents), molecular-genetic for identification of both bacterial and viral pathogens and serological for diagnosis of atypical pathogens.

Published
2012

11. The effects of climate in patients with arterial hypertension, including in combination with chronic obstructive pulmonary disease and/or bronchial asthma

Author

Chazova, I E, primary, Ratova, L G, additional, Dolgusheva, Y A, additional, Nazarov, B M, additional, Agapova, O Y, additional, Sivakova, O A, additional, Galitsin, P V, additional, Rvacheva, A V, additional, Kuznetsova, T V, additional, Beilina, V B, additional, Tkachev, G A, additional, Kaznacheeva, E I, additional, and Zykov, K A, additional

Published
2013
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28. Impedance of a thin metal film in the regime of strong magnetodynamic nonlinearity.

Author

Derev'anko, S. A., Tkachev, G. B., and Yampol'skií, V. A.

Subjects
*METALLIC films, *ELECTRIC impedance, *NONLINEAR theories
Abstract

The nonlinear response of a metallic film to the self-magnetic field of an ac transport current is investigated theoretically. The nonlinearity is due to a magnetodynamic mechanism which derives from the influence of the magnetic field of the current on the dynamics of the conduction electrons and is most typical for pure metals at low temperatures. The nonlinearity leads to a dependence of the surface impedance on the amplitude of the ac current. It is shown that the real part of the surface impedance, which is responsible for the Joule losses, has a smooth maximum as a function of the amplitude. The imaginary part of the surface impedance is also a nonmonotonic function of the amplitude and has a minimum. © 2000 American Institute of Physics. [ABSTRACT FROM AUTHOR]

Published
2000
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29. Nonlinear interaction of an electromagnetic wave and a dc current in a metallic film.

Author

Derev'anko, S. A., Tkachev, G. B., and Yampol'skií, B. A.

Subjects
*METALLIC films, *THIN films
Abstract

The nonlinear interaction of a dc current flowing in a thin metal film with an electromagnetic wave illuminating the sample in a symmetric manner with respect to the magnetic field is investigated theoretically. The nonlinearity is due to the most typical mechanism for pure metals at low temperatures -- the magnetodynamic mechanism, involving the effect of the magnetic field of the current and wave field on the electron trajectories. It is shown that this interaction leads to sharp kinks in the time dependence of the electric field of the wave at the surface of the sample and to a peculiar electromagnetic signal amplification effect. © 2000 American Institute of Physics. [ABSTRACT FROM AUTHOR]

Published
2000
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30. S4: Self-Supervised Learning of Spatiotemporal Similarity.

Author

Tkachev G, Frey S, and Ertl T

Abstract

We introduce an ML-driven approach that enables interactive example-based queries for similar behavior in ensembles of spatiotemporal scientific data. This addresses an important use case in the visual exploration of simulation and experimental data, where data is often large, unlabeled and has no meaningful similarity measures available. We exploit the fact that nearby locations often exhibit similar behavior and train a Siamese Neural Network in a self-supervised fashion, learning an expressive latent space for spatiotemporal behavior. This space can be used to find similar behavior with just a few user-provided examples. We evaluate this approach on several ensemble datasets and compare with multiple existing methods, showing both qualitative and quantitative results.

Published
2022
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31. Local Prediction Models for Spatiotemporal Volume Visualization.

Author

Tkachev G, Frey S, and Ertl T

Abstract

We present a machine learning-based approach for detecting and visualizing complex behavior in spatiotemporal volumes. For this, we train models to predict future data values at a given position based on the past values in its neighborhood, capturing common temporal behavior in the data. We then evaluate the model's prediction on the same data. High prediction error means that the local behavior was too complex, unique or uncertain to be accurately captured during training, indicating spatiotemporal regions with interesting behavior. By training several models of varying capacity, we are able to detect spatiotemporal regions of various complexities. We aggregate the obtained prediction errors into a time series or spatial volumes and visualize them together to highlight regions of unpredictable behavior and how they differ between the models. We demonstrate two further volumetric applications: adaptive timestep selection and analysis of ensemble dissimilarity. We apply our technique to datasets from multiple application domains and demonstrate that we are able to produce meaningful results while making minimal assumptions about the underlying data.

Published
2021
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32. [Detection of Autoantibodies Against the 1-Adrenergic Receptor in the Sera of Patients via the Competitive cell-Based Enzyme Linked Immunosorbent Assay].

Author

Shevelev AY, Kostiukevich MV, Efremov EE, Vlasik TN, Mironova NA, Zykov KA, Kashirina NM, Kuznetsova IB, Sharf TV, Mamochkina EN, Lipatova LN, Peklo MM, Rutkevich PN, Yanushevskaya EV, Rybalkin IN, Stukalova OV, Malkina TA, Belyaeva MM, Kuznetsova TV, Tkachev GA, Zinchenko LV, Gupalo EM, Agapova OY, Yureneva-Tkhorzhevskaya TV, Rvacheva AV, Sidorova MV, Sadgyan AS, Tereshchenko SN, and Golitsyn SP

Subjects
Adult, Arrhythmias, Cardiac blood, Arrhythmias, Cardiac complications, Autoantibodies immunology, Cardiomyopathy, Dilated complications, Enzyme-Linked Immunosorbent Assay, Female, Humans, Male, Middle Aged, Arrhythmias, Cardiac immunology, Autoantibodies blood, Receptors, Adrenergic, beta-1 immunology
Abstract

Objective: This study aimed to assess the level of anti-1-adrenergic receptor autoantibodies in patients with ventricular arrhythmias with no signs of organic heart disease and with presence of cardiovascular pathology in comparison with a group of healthy volunteers., Material and Methods: The study included 44 patients with ventricular arrhythmias with no signs of organic heart disease ("idiopathic"), 34 patients with diagnosed dilated cardiomyopathy (DCM) of inflammatory origin, 35 patients with coronary heart disease and ventricular arrhythmias, 12patients with coronary heart disease with no ventricular arrhythmias, and 19 healthy volunteers (control group). The level of autoantibodies against the 1-adrenergic receptor was determined by the developed competitive cell-based enzyme-linked immunosorbent assay (ELISA) and by the standard ELISA using peptides corresponding to the second extracellular loop of the 1-adrenergic receptor., Results: Elevated level of autoantibodies detected by a competitive cell-based ELISA was observed in 62% of patients with DCM compared to 21% of healthy volunteers (p=0.0006). In patients with "idiopathic" ventricular arrhythmias, the level of 1-adrenergic receptor autoantibodies was lower than in healthy subjects (p=0.003). Coronary heart disease patients with or without ventricular arrhythmias exhibited no differences from the control group. The number of significantly positive signals in peptide-based ELISA did not exceed 10% in any of the groups. No correlation between the data from competitive cell-based ELISA and peptide-based ELISA was found., Conclusions: This study demonstrated that competitive cell-based ELISA technique can be applied for detection of 1-adrenergic receptor autoantibodies. The results in DCM patients generally correspond to the expected. Decreased level of autoantibodies in patients with "idiopathic" ventricular arrhythmias indicates that this disease is related to changes in the immune system. Such relation is not observed in the case of coronary heart disease patients.

Published
2016
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33. [Biomarkers in Heart Failure: Apelin Level Is Not Associated With Presence and Severity of the Disease].

Author

Lakomkin SV, Tereshchenko SN, Sychev AV, Masenko VP, Tkachev GA, Gerasimova ON, Sigalovich EIu, Dankovtseva EN, and Zateĭshchikov DA

Subjects
Adult, Aged, Aged, 80 and over, Apelin, Biomarkers blood, Female, Heart Failure diagnosis, Heart Failure physiopathology, Humans, Male, Middle Aged, Prognosis, Severity of Illness Index, Young Adult, Heart Failure blood, Intercellular Signaling Peptides and Proteins blood, Stroke Volume
Abstract

We tested possibility of the use of apelin-12 as a biomarker of chronic heart failure (CHF). The study comprised 108 patients with I-IV functional class CHF of various etiology (ischemic heart disease, dilation cardiomyopathy) and 40 healthy volunteers. Blood samples were taken at hospital admission before prescription of pharmacological therapy. In all patients we carried out echocardiography with calculation of end-diastolic and end-systolic volumes (EDV, ESV) and ejection fraction (EF). Blood plasma apelin-12 concentration was compared with CHF market NT-proBNP. Mean apelin-12 concentrations were 0.86 ± 0.22 hg/ml in healthy volunteers and 0.8±0.35, 0.81 ± 0.29, 0.68 ± 0.38, 0.82 ± 0.35 hg/ml in patients with CHF classes I, III, III, IV, respectively. There was no significant differences between appelin-12 concentrations in various classes of CHF. No correlations were found between apelin-12 and EF, EDV, ESV, sex, age, smoking, body mass index, and NT-proBNP level. Concentration of NT pro-BNP level correlated with CHF severity. Thus apelin-12 did not show itself as reliable biomarker of CHF.

Published
2015

34. [Assessment of clinical-instrumental, morphological data and expression of coxsackie adenovirus receptor in patients with inflammatory cardiac pathology].

Author

Gupalo EM, Mironova NA, Rogova MM, Chumachenko PV, Tkachev GA, Naumova MA, Narusov OIu, Gerasimova VV, Bakalov SA, Samko AM, Buriachkovskaia LI, Tereshchenko SN, and Golitsyn SP

Subjects
Adult, Biopsy, Brugada Syndrome, Bundle-Branch Block immunology, Bundle-Branch Block physiopathology, Cardiac Conduction System Disease, Female, Heart Conduction System immunology, Heart Conduction System physiopathology, Heart Function Tests methods, Humans, Male, Middle Aged, Monitoring, Immunologic, Prognosis, Risk Assessment, Severity of Illness Index, Statistics as Topic, Arrhythmias, Cardiac diagnosis, Arrhythmias, Cardiac etiology, Arrhythmias, Cardiac immunology, Arrhythmias, Cardiac physiopathology, Coxsackie and Adenovirus Receptor-Like Membrane Protein immunology, Heart Conduction System abnormalities, Heart Failure diagnosis, Heart Failure etiology, Heart Failure physiopathology, Heart Ventricles pathology, Heart Ventricles physiopathology, Myocarditis complications, Myocarditis immunology, Myocarditis pathology
Abstract

In 22 patients with heart failure and/or ventricular arrhythmias presumably of inflammatory etiology the results of clinical and instrumental investigation were analyzed and compared to the endomyocardial biopsy data. In the subgroup of patients with left bundle branch block (LBBB) we revealed features indicative of lesser contribution of inflammatory destruction in pathogenesis of cardiomyopathy. The only virus, detected in biopsy samples, was parvovirus B19. Its persistence in myocardium was not related to activity of inflammation and severity of clinical course. Increased expression of Coxsackie adenovirus receptor (CAR) was found in 20 patients. It was not related to inflammatory cells infiltration and virus persistence in myocardium. Patients with most prominent CAR expression were characteried by right heart dilatation, more severe heart failure and absence of LBBB. Enhancement of CAR expression could reflect the attempt of organism to repair intercellular communications between cardiomyocites and to protect cells from the products of necrotic lysis during long standing inflammation.

Published
2014
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35. [The analysis of amount of matrix metalloproteinase 1 precursor, metalloproteinase 1 tissue inhibitor and cystatin C in the bronchoalveolar secretion of patients with nonspecific lung diseases].

Author

Koretskaia NA, Vavilova TP, and Tkachev GA

Subjects
Adult, Asthma metabolism, Enzyme-Linked Immunosorbent Assay, Humans, Middle Aged, Pneumonia metabolism, Pulmonary Disease, Chronic Obstructive metabolism, Bronchoalveolar Lavage Fluid chemistry, Cystatin C analysis, Lung Diseases metabolism, Matrix Metalloproteinase 1 analysis, Tissue Inhibitor of Metalloproteinase-1 analysis
Abstract

The proteinases and their inhibitors participate in the inflammatory process. The damage of lung tissue can be a result of proteinase activity. This activity is regulated by such inhibitors as metalloprvteinase 1 tissue inhibitor and cystatin C. The comparative analysis was applied concerning matrix metalloproteinase 1 precursor; metalloproteinase I tissue inhibitor and cystatin C--indicators of conditions of the "proteolysis-antiproteolysis" system in the bronchoalveolar secretion of patients with chronic obstructive lung disease, bronchial asthma and pneumonia. In the group of patients with chronic obstructive lung disease, in contrast with other groups, the significant increase of proteinase inhibitors was not detected on the tenth day of treatment after exacerbation of disease. This fact testifies the ongoing proteolytic activity and chronic inflammation under chronic obstructive lung disease.

Published
2012

36. [The study of peculiarities of immunotropic action of statins in chronic heart failure of various etiology].

Author

Zykov KA, Tatenkulova SN, Mareev VIu, Masenko BP, Balakhonova TV, Tripoten' MI, Kaznacheeva EI, Beliavskiĭ EA, Tkachev GA, and Belenkov IuN

Subjects
Adult, Cardiomyopathy, Dilated blood, Cardiomyopathy, Dilated physiopathology, Cytokines blood, Enzyme-Linked Immunosorbent Assay, Female, Heart Failure drug therapy, Heart Failure etiology, Humans, Immunoglobulins blood, Male, Middle Aged, Treatment Outcome, Ventricular Function, Left physiology, Young Adult, Cardiomyopathy, Dilated complications, Heart Failure immunology, Hydroxymethylglutaryl-CoA Reductase Inhibitors therapeutic use, Immunity drug effects
Abstract

Aim: To study features of statin therapy in patients with heart failure (HF) of different etiology on immune system., Material and Methods: The basic markers of immune activation in 43 patients with chronic heart disease (CHD) and HF in New York Heart Association (NYHA) class I to IV were studied. Mine age was 48 +/- 8 years (from 33 to 64 years). 43 patients with dilated cardiomyopathy (DCM) and HF were also observed. Mine age was 43 +/- 10 years (from 22 to 61 years). Parameters of systolic and diastolic left ventricle (LV) function were measured. Also non invasive methods for evaluation of endothelial function were used. Concentrations of hsCRP, IgG, IgA, IgM were measured using commercially available kits. IL 6, IL 8, sIL 2R, IL 18, IL 10, IFN Y, endothelin levels were measured using enzyme linked immunosorbent assay method., Results: Statin therapy has immunomodulation effect in patients with heart failure any etiology. This effect depends on etiology of HF. In CHD patients the decreasing of IFN Y, IL 8, sIL 2R, hsCRP and increasing of IL 18, IL 6 levels were observed. In DCM patients the decreasing of IL 8, IL 18, sIL 2R and increasing of IL 10 were observed. There was significant clinical improving in patients with DCM and HF after statin therapy. But there were no changes of endothelial function in patients with CHD and DCM. There were no changes of LV function in patients with CHD. So statin therapy may reduce level of proinflammatory mediators but not fully control inflammation process in patients with HF of different etiology.

Published
2009

37. [Comparative dynamics of markers of inflammation and NT-proBNP in different variants of treatment of patients with ACS].

Author

Shreĭder EV, Shakhnovich Rm, Kaznacheeva EI, Bosykh EG, Tkachev GA, and Ruda MIa

Subjects
Adult, Aged, Female, Humans, Male, Middle Aged, Acute Coronary Syndrome metabolism, C-Reactive Protein metabolism, CD40 Ligand metabolism, Cytokines metabolism, Natriuretic Peptide, Brain metabolism, Peptide Fragments metabolism, Tumor Necrosis Factor-alpha metabolism
Abstract

STUDY AIM - assessment of dynamics of markers of inflammation (CRP, Il-6, Il-10, TNFa, CD40L, fibrinogen) and N - N in acute coronary syndrome (ACS) as well as analysis of effect of various methods of treatment on level of these parameters. Patient aged 30 - 70 years were included in the study: 52 patients with ACS with ST-segment elevation (STEACS) and 61 - without ST-segment elevation (NSTEACS). Initial level of markers of inflammation (Il-6, CRP) in STEACS was lower than in NSTEACS. Initial level of antiinflammatory Il-10 was significantly higher in patients in the STEACS group (72.6 +/- 39.1 and 6.6+4.2 pg/ml, < 0.01). At admission the highest values of N - N were noted in the group of NSTEACS (761.5 pg/ml compared with 451.1 pg/ml in STEACS, =0.04). During period of hospitalization elevation of N - N occurred in the group of STEACS while its lowering occurred in the group of NSTEACS. In STEACS patients with early restored coronary blood flow dysfunction of the myocardium was less pronounced (lower level of N - N ). In patients with NSTEACS during period of hospitalization levels of CRP, Il-6 fibrinogen lowered. In invasively treated patients with NSTEACS levels of CRP and fibrinogen lowered to a greater extent than in conservatively treated.

Published
2008

38. [Immunity in chronic bronchitis patients with significant residual changes after prior pulmonary tuberculosis].

Author

Ditiatkov AE, Antonova OIu, Shevelev VI, Rvacheva AV, Kaznacheeva EI, Beĭlina VB, Tkachev GA, and Zykov KA

Subjects
Female, Follow-Up Studies, Humans, Male, Middle Aged, Severity of Illness Index, Tuberculosis, Pulmonary immunology, B-Lymphocytes immunology, Bronchitis, Chronic immunology, Immunity, Cellular immunology, T-Lymphocytes immunology, Tuberculosis, Pulmonary complications
Abstract

To study the immunological features in chronic bronchitis (CB) patients with great residual changes (GRC) after prior pulmonary tuberculosis, the authors examined two groups: 1) 40 CB patients with GRC after prior pulmonary tuberculosis (a study group) and 2) 30 CB patients without a history of pulmonary tuberculosis. The examination revealed that CB patients with GRC after prior pulmonary tuberculosis were found to have higher T lymphocytes, lower B lymphocytes on an exacerbation of the disease. The phagocytic properties of neutrophils were altered as their high phagocytic activity, decreased oxygen-dependent microbicidal activity of phagocytes with their stimulation. The humoral response remained to be slightly pronounced in CB bronchitis with GRC. The low serum levels of TBC active products may suggest the low activity of lipid peroxidation processes in the study group patients. After prior pulmonary tuberculosis, antioxidative activity preserves to be high in CB patients with GRC.

Published
2008

39. [Diagnostic and prognostic value of antioxidant enzyme assay in erythrocytes of patients with end stage renal disease treated with hemodialysis].

Author

Vavilova TP, Geva ON, Pushkina AV, Tkachev GA, and Koretskaia NA

Subjects
Adult, Glutathione Peroxidase blood, Glutathione Reductase blood, Humans, Kidney Failure, Chronic therapy, Middle Aged, Oxidative Stress, Predictive Value of Tests, Superoxide Dismutase blood, Erythrocytes enzymology, Kidney Failure, Chronic blood, Renal Dialysis
Abstract

Anemia is one of the main complications seen in patients with end stage renal disease (ESRD) treated with hemodialysis. We hypothesized that oxidative stress and decrease of antioxidant defense enzyme activity may be major causes underlying functional insufficiency of erythrocytes. Blood samples of 16 patients with ESRD undergoing hemodialysis were investigated. All patients received Recormon for treatment of anemia. In spite of effective hemodialysis procedures cleared patient blood the erythrocyte activities of superoxide dismutase (SOD), glutathione peroxidase (GP) were lower than in healthy controls and hemodialysis procedure insignificantly influenced enzyme activities. After 6 months repeated study of the erythrocyte enzymes revealed further decrease of SOD and GP activities.

Published
2006

40. [Effect of therapy with rosuvastatin on lipid spectrum, factors of inflammation and endothelial function in patients with ischemic heart disease].

Author

Sergienko IV, Samoĭlenko EIu, Masenko VP, Ezhov MV, Sumarokov AB, Tkachev GA, Pogorelova OA, Balakhonova TV, and Naumov VG

Subjects
Biomarkers blood, Brachial Artery diagnostic imaging, Brachial Artery drug effects, Brachial Artery physiopathology, Endothelium, Vascular physiopathology, Follow-Up Studies, Humans, Inflammation blood, Lipids blood, Male, Middle Aged, Myocardial Ischemia blood, Myocardial Ischemia physiopathology, Rosuvastatin Calcium, Treatment Outcome, Ultrasonography, Doppler, C-Reactive Protein metabolism, Endothelium, Vascular drug effects, Fluorobenzenes therapeutic use, Hydroxymethylglutaryl-CoA Reductase Inhibitors therapeutic use, Myocardial Ischemia drug therapy, Pyrimidines therapeutic use, Sulfonamides therapeutic use, Vasodilation drug effects
Abstract

Rosuvastatin (10 mg) was given for 3 months to 30 men (mean age 57+/-9 years) with total cholesterol (CH) above 5.2 mmol/l. Questioning, physical examination, registration of ECG, measurement of levels of total, low density lipoprotein (LDL), high density lipoprotein (HDL) CH, and triglycerides (TG), assessment of endothelium-dependent brachial artery dilation were carried out at baseline and in 3 months. It was noted that 3 months therapy with rosuvastatin exerted positive effect on blood lipid spectrum: lowering of concentration of total CH (-31%, baseline 6.52+/-0.92, after therapy 4.47+/-0.96 mmol/l, p<0.0001), TG (-39%, baseline 2.73+/-1.56, after therapy 1.67+/-0.71 mmol/l, p<0.001), LDLCH (-44%, baseline 4.11+/-0.85, after therapy 2.40+/-0.90 mmol/l, p<0.0001), elevation of HDLCH (+6%, baseline 1.15+/-0.27, after therapy 1.22+/-0.34 mmol/l, p=0.08). Target LDL CH level (<2.6 mmol/l) was achieved in 23 patients (77%). Significant lowering of concentration of C-reactive protein (CRP) (-56%) and interleukin 6 (-25%) was also established. Before beginning of therapy mean flow dependent dilation was 6.1+/-1.64%, after therapy -- 10.4+/-5.0% (p<0.05). Treatment of men with ischemic heart disease with rosuvastatin (10 mg for 3 months) led to achievement of target values of LDLCH in 77% of them, to significant lowering of concentrations of CRP and interleukin 6, and to improvement of endothelial function.

Published
2006

41. [Determination of the low protein concentration in biological fluids. Methodological aspects (the use of mathematical analysis)].

Author

Al'tshuler BIu, Rakov SS, and Tkachev GA

Subjects
Data Interpretation, Statistical, Humans, Photometry, Proteinuria urine, Urine chemistry, Albumins analysis, Globulins analysis, Urinalysis methods
Abstract

We investigated the effect of albumin/globulin ratio on the analytic error of protein determination. Several methods were used: Bradford, Lowry, pyrogallol-red, biuret, and sulfosalicylic acid. Reagents used in Lowry method exhibit higher affinity to globulins, whereas reagents used in other methods have higher affinity to albumins. Although the biuret method demonstrated equal efficiency in determining concentrations of various proteins low sensitivity of this method limits its clinical applicability. For other methods there was non-linear dependence of the analytic error on protein composition in the sample. Combination of two methods for protein determination (using one calibrator) completely removes the analytic error.

Published
2001

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