Author: "A. Chuvikov" - Searchworks@Jio Institute Digital Library Search Results

700 results on '"A. Chuvikov"'

1. Micro-mesoporous carbons form non-porous zinc-organic coordination compounds: Synthesis, structure and gas adsorption properties

Author: Chuvikov, S.V., Shmelev, M.A., Chistyakov, A.S., Nikolaevskii, S.A., Sidorov, A.A., Agapkin, M.D., Fedotov, S.S., Savilov, S.V., Maslakov, K.I., and Klyamkin, S.N.
Published: 2024
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2. Application of HEC-RAS software in modelling of urban flooding by surface rainwater runoff and assessment of emergency conditions in case of precipitation of different availability

Author: Stanislavsky Konstantin, Golovkov Ilya, Yusupova Sabina, Chuvikov Nikolay, Sokolova Irina, Zaycev Vladimir, Pechenevsky Maxim, and Dotsenko Nikolay
Subjects: Environmental sciences, GE1-350
Abstract: The presented paper investigates the application of HEC-RAS software for modelling of urban area waterlogging by surface rainfall runoff on the Black Sea coast of Russia. The authors assess the risk of emergencies caused by rainfall of different intensities. Using a digital elevation model and an orthophotoplane obtained by airborne laser scanning and aerial photography, the territory and surface types are analyzed. The results of the study identify sensitive areas and consider the feasibility of constructing barrier structures to manage surface runoff. Data on the capacity of the existing pipe and its effect on runoff accumulation are analyzed. The study is of practical relevance for risk assessment and emergency prevention measures related to surface runoff in urban environments on the Black Sea coast.
Published: 2024
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3. Luminescence in germania-silica fibers in 1-2 {\mu}m region

Author: Borshchevskaia, N. A., Katamadze, K. G., Kulik, S. P., Klyamkin, S. N., Chuvikov, S. V., Sysolyatin, A. A., Tsvetkov, S. V., and Fedorov, M. V.
Subjects: Condensed Matter - Materials Science, Physics - Optics
Abstract: We analyze the origins of the luminescence in germania-silica fibers with high germanium concentration (about 30 mol. % GeO2) in the region 1-2 {\mu}m with a laser pump at the wavelength 532 nm. We show that such fibers demonstrate the high level of luminescence which unlikely allows the observation of photon triplets, generated in a third-order spontaneous parametric down-conversion process in such fibers. The only efficient approach to the luminescence reduction is the hydrogen saturation of fiber samples, however, even in this case the level of residual luminescence is still too high for three-photon registration.
Published: 2017
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4. A Software Package Supporting Decision Making on the Safety of Thermolabile Blood Components

Author: Varlamov, O. O., Chuvikov, D. A., Lemondzhava, V. N., Gudkov, A. G., Aladin, D. V., Adamova, L. E., Osipov, V. G., Chechetkin, A. V., Leushin, V. Yu., Kasyanov, A. D., and Vetrova, N. A.
Published: 2022
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5. Creating a Knowledge Base for a Mivar Expert System for the Diagnosis of Diabetes Mellitus

Author: Kim, H., Chuvikov, D. A., Aladin, D. V., Varlamov, O. O., Adamova, L. E., and Osipov, V. G.
Published: 2021
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6. The Physics of the B Factories

Author: Bevan, A. J., Golob, B., Mannel, Th., Prell, S., Yabsley, B. D., Abe, K., Aihara, H., Anulli, F., Arnaud, N., Aushev, T., Beneke, M., Beringer, J., Bianchi, F., Bigi, I. I., Bona, M., Brambilla, N., rodzicka, J. B, Chang, P., Charles, M. J., Cheng, C. H., Cheng, H. -Y., Chistov, R., Colangelo, P., Coleman, J. P., Drutskoy, A., Druzhinin, V. P., Eidelman, S., Eigen, G., Eisner, A. M., Faccini, R., Flood, K. T ., Gambino, P., Gaz, A., Gradl, W., Hayashii, H., Higuchi, T., Hulsbergen, W. D., Hurth, T., Iijima, T., Itoh, R., Jackson, P. D., Kass, R., Kolomensky, Yu. G., Kou, E., Križan, P., Kronfeld, A., Kumano, S., Kwon, Y. J., Latham, T. E., Leith, D. W. G. S., Lüth, V., Martinez-Vidal, F., Meadows, B. T., Mussa, R., Nakao, M., Nishida, S., Ocariz, J., Olsen, S. L., Pakhlov, P., Pakhlova, G., Palano, A., Pich, A., Playfer, S., Poluektov, A., Porter, F. C., Robertson, S. H., Roney, J. M., Roodman, A., Sakai, Y., Schwanda, C., Schwartz, A. J., Seidl, R., Sekula, S. J., Steinhauser, M., Sumisawa, K., Swanson, E. S., Tackmann, F., Trabelsi, K., Uehara, S., Uno, S., van der Water, R., Vasseur, G., Verkerke, W., Waldi, R., Wang, M. Z., Wilson, F. F., Zupan, J., Zupanc, A., Adachi, I., Albert, J., Banerjee, Sw., Bellis, M., Ben-Haim, E., Biassoni, P., Cahn, R. N., Cartaro, C., Chauveau, J., Chen, C., Chiang, C. C., Cowan, R., Dalseno, J., Davier, M., Davies, C., Dingfelder, J. C., nard, B. Eche, Epifanov, D., Fulsom, B. G., Gabareen, A. M., Gary, J. W., Godang, R., Graham, M. T., Hafner, A., Hamilton, B., Hartmann, T., Hayasaka, K., Hearty, C., Iwasaki, Y., Khodjamirian, A., Kusaka, A., Kuzmin, A., Lafferty, G. D., Lazzaro, A., Li, J., Lindemann, D., Long, O., Lusiani, A., Marchiori, G., Martinelli, M., Miyabayashi, K., Mizuk, R., Mohanty, G. B., Muller, D. R., Nakazawa, H., Ongmongkolkul, P., Pacetti, S., Palombo, F., Pedlar, T. K., Piilonen, L. E., Pilloni, A., Poireau, V., Prothmann, K., Pulliam, T., Rama, M., Ratcliff, B. N., Roudeau, P., Schrenk, S., Schroeder, T., Schubert, K. R., Shen, C. P., Shwartz, B., Soffer, A., Solodov, E. P., Somov, A., Starič, M., Stracka, S., Telnov, A. V., Todyshev, K. Yu., Tsuboyama, T., Uglov, T., Vinokurova, A., Walsh, J. J., Watanabe, Y., Won, E., Wormser, G., Wright, D. H., Ye, S., Zhang, C. C., Abachi, S., Abashian, A., Abe, N., Abe, R., Abe, T., Abrams, G. S., Adam, I., Adamczyk, K., Adametz, A., Adye, T., Agarwal, A., Ahmed, H., Ahmed, M., Ahmed, S., Ahn, B. S., Ahn, H. S., Aitchison, I. J. R., Akai, K., Akar, S., Akatsu, M., Akemoto, M., Akhmetshin, R., Akre, R., Alam, M. S., Albert, J. N., Aleksan, R., Alexander, J. P., Alimonti, G., Allen, M. T., Allison, J., Allmendinger, T., Alsmiller, J. R. G., Altenburg, D., Alwyn, K. E., An, Q., Anderson, J., Andreassen, R., Andreotti, D., Andreotti, M., Andress, J. C., Angelini, C., Anipko, D., Anjomshoaa, A., Anthony, P. L., Antillon, E. A., Antonioli, E., Aoki, K., Arguin, J. F., Arinstein, K., Arisaka, K., Asai, K., Asai, M., Asano, Y., Asgeirsson, D. J., Asner, D. M., Aso, T., Aspinwall, M. L., Aston, D., Atmacan, H., Aubert, B., Aulchenko, V., Ayad, R., Azemoon, T., Aziz, T., Azzolini, V., Azzopardi, D. E., Baak, M. A., Back, J. J., Bagnasco, S., Bahinipati, S., Bailey, D. S., Bailey, S., Bailly, P., van Bakel, N., Bakich, A. M., Bala, A., Balagura, V., Baldini-Ferroli, R., Ban, Y., Banas, E., Band, H. R., Banerjee, S., Baracchini, E., Barate, R., Barberio, E., Barbero, M., Bard, D. J., Barillari, T., Barlow, N. R., Barlow, R. J., Barrett, M., Bartel, W., Bartelt, J., Bartoldus, R., Batignani, G., Battaglia, M., Bauer, J. M., Bay, A., Beaulieu, M., Bechtle, P., Beck, T. W., Becker, J., Becla, J., Bedny, I., Behari, S., Behera, P. K., Behn, E., Behr, L., Beigbeder, C., Beiline, D., Bell, R., Bellini, F., Bellodi, G., Belous, K., Benayoun, M., Benelli, G., Benitez, J. F., Benkebil, M., Berger, N., Bernabeu, J., Bernard, D., Bernet, R., Bernlochner, F. U., Berryhill, J. W., Bertsche, K., Besson, P., Best, D. S., Bettarini, S., Bettoni, D., Bhardwaj, V., Bhimji, W., Bhuyan, B., Biagini, M. E., Biasini, M., van Bibber, K., Biesiada, J., Bingham, I., Bionta, R. M., Bischofberger, M., Bitenc, U., Bizjak, I., Blanc, F., Blaylock, G., Blinov, V. E., Bloom, E., Bloom, P. C., Blount, N. L., Blouw, J., Bly, M., Blyth, S., Boeheim, C. T., Bomben, M., Bondar, A., Bondioli, M., Bonneaud, G. R., Bonvicini, G., Booke, M., Booth, J., Borean, C., Borgland, A. W., Borsato, E., Bosi, F., Bosisio, L., Botov, A. A., Bougher, J., Bouldin, K., Bourgeois, P., Boutigny, D., Bowerman, D. A., Boyarski, A. M., Boyce, R. F., Boyd, J. T., Bozek, A., Bozzi, C., Bračko, M., Brandenburg, G., Brandt, T., Brau, B., Brau, J., Breon, A. B., Breton, D., Brew, C., Briand, H., Bright-Thomas, P. G., Brigljević, V., Britton, D. I., Brochard, F., Broomer, B., Brose, J., Browder, T. E., Brown, C. L., Brown, C. M., Brown, D. N., Browne, M., Bruinsma, M., Brunet, S., Bucci, F., Buchanan, C., Buchmueller, O. L., Bünger, C., Bugg, W., Bukin, A. D., Bula, R., Bulten, H., Burchat, P. R., Burgess, W., Burke, J. P., Button-Shafer, J., Buzykaev, A. R., Buzzo, A., Cai, Y., Calabrese, R., Calcaterra, A., Calderini, G., Camanzi, B., Campagna, E., Campagnari, C., Capra, R., Carassiti, V., Carpinelli, M., Carroll, M., Casarosa, G., Casey, B. C. K., Cason, N. M., Castelli, G., Cavallo, N., Cavoto, G., Cecchi, A., Cenci, R., Cerizza, G., Cervelli, A., Ceseracciu, A., Chai, X., Chaisanguanthum, K. S., Chang, M. C., Chang, Y. H., Chang, Y. W., Chao, D. S., Chao, M., Chao, Y., Charles, E., Chavez, C. A., Cheaib, R., Chekelian, V., Chen, A., Chen, E., Chen, G. P., Chen, H. F., Chen, J. -H., Chen, J. C., Chen, K. F., Chen, P., Chen, S., Chen, W. T., Chen, X., Chen, X. R., Chen, Y. Q., Cheng, B., Cheon, B. G., Chevalier, N., Chia, Y. M., Chidzik, S., Chilikin, K., Chistiakova, M. V., Cizeron, R., Cho, I. S., Cho, K., Chobanova, V., Choi, H. H. F., Choi, K. S., Choi, S. K., Choi, Y., Choi, Y. K., Christ, S., Chu, P. H., Chun, S., Chuvikov, A., Cibinetto, G., Cinabro, D., Clark, A. R., Clark, P. J., Clarke, C. K., Claus, R., Claxton, B., Clifton, Z. C., Cochran, J., Cohen-Tanugi, J., Cohn, H., Colberg, T., Cole, S., Colecchia, F., Condurache, C., Contri, R., Convert, P., Convery, M. R., Cooke, P., Copty, N., Cormack, C. M., Corso, F. Dal, Corwin, L. A., Cossutti, F., Cote, D., Ramusino, A. Cotta, Cottingham, W. N., Couderc, F., Coupal, D. P., Covarelli, R., Cowan, G., Craddock, W. W., Crane, G., Crawley, H. B., Cremaldi, L., Crescente, A., Cristinziani, M., Crnkovic, J., Crosetti, G., Cuhadar-Donszelmann, T., Cunha, A., Curry, S., D'Orazio, A., Dû, S., Dahlinger, G., Dahmes, B., Dallapiccola, C., Danielson, N., Danilov, M., Das, A., Dash, M., Dasu, S., Datta, M., Daudo, F., Dauncey, P. D., David, P., Davis, C. L., Day, C. T., De Mori, F., De Domenico, G., De Groot, N., De la Vaissière, C., de la Vaissière, Ch., de Lesquen, A., De Nardo, G., de Sangro, R., De Silva, A., DeBarger, S., Decker, F. J., Sanchez, P. del Amo, Del Buono, L., Del Gamba, V., del Re, D., Della Ricca, G., Denig, A. G., Derkach, D., Derrington, I. M., DeStaebler, H., Destree, J., Devmal, S., Dey, B., Di Girolamo, B., Di Marco, E., Dickopp, M., Dima, M. O., Dittrich, S., Dittongo, S., Dixon, P., Dneprovsky, L., Dohou, F., Doi, Y., Doležal, Z., Doll, D. A., Donald, M., Dong, L., Dong, L. Y., Dorfan, J., Dorigo, A., Dorsten, M. P., Dowd, R., Dowdell, J., Drásal, Z., Dragic, J., Drummond, B. W., Dubitzky, R. S., Dubois-Felsmann, G. P., Dubrovin, M. S., Duh, Y. C., Duh, Y. T., Dujmic, D., Dungel, W., Dunwoodie, W., Dutta, D., Dvoretskii, A., Dyce, N., Ebert, M., Eckhart, E. A., Ecklund, S., Eckmann, R., Eckstein, P., Edgar, C. L., Edwards, A. J., Egede, U., Eichenbaum, A. M., Elmer, P., Emery, S., Enari, Y., Enomoto, R., Erdos, E., Erickson, R., Ernst, J. A., Erwin, R. J., Escalier, M., Eschenburg, V., Eschrich, I., Esen, S., Esteve, L., Evangelisti, F., Everton, C. W., Eyges, V., Fabby, C., Fabozzi, F., Fahey, S., Falbo, M., Fan, S., Fang, F., Fanin, C., Farbin, A., Farhat, H., Fast, J. E., Feindt, M., Fella, A., Feltresi, E., Ferber, T., Fernholz, R. E., Ferrag, S., Ferrarotto, F., Ferroni, F., Field, R. C., Filippi, A., Finocchiaro, G., Fioravanti, E., da Costa, J. Firmino, Fischer, P. -A., Fisher, A., Fisher, P. H., Flacco, C. J., Flack, R. L., Flaecher, H. U., Flanagan, J., Flanigan, J. M., Ford, K. E., Ford, W. T., Forster, I. J., Forti, A. C., Forti, F., Fortin, D., Foster, B., Foulkes, S. D., Fouque, G., Fox, J., Franchini, P., Sevilla, M. Franco, Franek, B., Frank, E. D., Fransham, K. B., Fratina, S., Fratini, K., Frey, A., Frey, R., Friedl, M., Fritsch, M., Fry, J. R., Fujii, H., Fujikawa, M., Fujita, Y., Fujiyama, Y., Fukunaga, C., Fukushima, M., Fullwood, J., Funahashi, Y., Funakoshi, Y., Furano, F., Furman, M., Furukawa, K., Futterschneider, H., Gabathuler, E., Gabriel, T. A., Gabyshev, N., Gaede, F., Gagliardi, N., Gaidot, A., Gaillard, J. -M., Gaillard, J. R., Galagedera, S., Galeazzi, F., Gallo, F., Gamba, D., Gamet, R., Gan, K. K., Gandini, P., Ganguly, S., Ganzhur, S. F., Gao, Y. Y., Gaponenko, I., Garmash, A., Tico, J. Garra, Garzia, I., Gaspero, M., Gastaldi, F., Gatto, C., Gaur, V., Geddes, N. I., Geld, T. L., Genat, J. -F., George, K. A., George, M., George, S., Georgette, Z., Gershon, T. J., Gill, M. S., Gillard, R., Gilman, J. D., Giordano, F., Giorgi, M. A., Giraud, P. -F., Gladney, L., Glanzman, T., Glattauer, R., Go, A., Goetzen, K., Goh, Y. M., Gokhroo, G., Goldenzweig, P., Golubev, V. B., Gopal, G. P., Gordon, A., Gorišek, A., Goriletsky, V. I., Gorodeisky, R., Gosset, L., Gotow, K., Gowdy, S. J., Graffin, P., Grancagnolo, S., Grauges, E., Graziani, G., Green, M. G., Greene, M. G., Grenier, G. J., Grenier, P., Griessinger, K., Grillo, A. A., Grinyov, B. V., Gritsan, A. V., Grosdidier, G., Perdekamp, M. Grosse, Grosso, P., Grothe, M., Groysman, Y., Grünberg, O., Guido, E., Guler, H., Gunawardane, N. J. W., Guo, Q. H., Guo, R. S., Guo, Z. J., Guttman, N., Ha, H., Ha, H. C., Haas, T., Haba, J., Hachtel, J., Hadavand, H. K., Hadig, T., Hagner, C., Haire, M., Haitani, F., Haji, T., Haller, G., Halyo, V., Hamano, K., Hamasaki, H., de Monchenault, G. Hamel, Hamilton, J., Hamilton, R., Hamon, O., Han, B. Y., Han, Y. L., Hanada, H., Hanagaki, K., Handa, F., Hanson, J. E., Hanushevsky, A., Hara, K., Hara, T., Harada, Y., Harrison, P. F., Harrison, T. J., Harrop, B., Hart, A. J., Hart, P. A., Hartfiel, B. L., Harton, J. L., Haruyama, T., Hasan, A., Hasegawa, Y., Hast, C., Hastings, N. C., Hasuko, K., Hauke, A., Hawkes, C. M., Hayashi, K., Hazumi, M., Hee, C., Heenan, E. M., Heffernan, D., Held, T., Henderson, R., Henderson, S. W., Hertzbach, S. S., Hervé, S., Heß, M., Heusch, C. A., Hicheur, A., Higashi, Y., Higasino, Y., Higuchi, I., Hikita, S., Hill, E. J., Himel, T., Hinz, L., Hirai, T., Hirano, H., Hirschauer, J. F., Hitlin, D. G., Hitomi, N., Hodgkinson, M. C., Höcker, A., Hoi, C. T., Hojo, T., Hokuue, T., Hollar, J. J., Hong, T. M., Honscheid, K., Hooberman, B., Hopkins, D. A., Horii, Y., Hoshi, Y., Hoshina, K., Hou, S., Hou, W. S., Hryn'ova, T., Hsiung, Y. B., Hsu, C. L., Hsu, S. C., Hu, H., Hu, T., Huang, H. C., Huang, T. J., Huang, Y. C., Huard, Z., Huffer, M. E., Hufnagel, D., Hung, T., Hutchcroft, D. E., Hyun, H. J., Ichizawa, S., Igaki, T., Igarashi, A., Igarashi, S., Igarashi, Y., Igonkina, O., Ikado, K., Ikeda, H., Ikeda, K., Ilic, J., Inami, K., Innes, W. R., Inoue, Y., Ishikawa, A., Ishino, H., Itagaki, K., Itami, S., Itoh, K., Ivanchenko, V. N., Iverson, R., Iwabuchi, M., Iwai, G., Iwai, M., Iwaida, S., Iwamoto, M., Iwasaki, H., Iwasaki, M., Iwashita, T., Izen, J. M., Jackson, D. J., Jackson, F., Jackson, G., Jackson, P. S., Jacobsen, R. G., Jacoby, C., Jaegle, I., Jain, V., Jalocha, P., Jang, H. K., Jasper, H., Jawahery, A., Jayatilleke, S., Jen, C. M., Jensen, F., Jessop, C. P., Ji, X. B., John, M. J. J., Johnson, D. R., Johnson, J. R., Jolly, S., Jones, M., Joo, K. K., Joshi, N., Joshi, N. J., Judd, D., Julius, T., Kadel, R. W., Kadyk, J. A., Kagan, H., Kagan, R., Kah, D. H., Kaiser, S., Kaji, H., Kajiwara, S., Kakuno, H., Kameshima, T., Kaminski, J., Kamitani, T., Kaneko, J., Kang, J. H., Kang, J. S., Kani, T., Kapusta, P., Karbach, T. M., Karolak, M., Karyotakis, Y., Kasami, K., Katano, G., Kataoka, S. U., Katayama, N., Kato, E., Kato, Y., Kawai, H., Kawai, M., Kawamura, N., Kawasaki, T., Kay, J., Kay, M., Kelly, M. P., Kelsey, M. H., Kent, N., Kerth, L. T., Khan, A., Khan, H. R., Kharakh, D., Kibayashi, A., Kichimi, H., Kiesling, C., Kikuchi, M., Kikutani, E., Kim, B. H., Kim, C. H., Kim, D. W., Kim, H., Kim, H. J., Kim, H. O., Kim, H. W., Kim, J. B., Kim, J. H., Kim, K. T., Kim, M. J., Kim, P., Kim, S. K., Kim, S. M., Kim, T. H., Kim, Y. I., Kim, Y. J., King, G. J., Kinoshita, K., Kirk, A., Kirkby, D., Kitayama, I., Klemetti, M., Klose, V., Klucar, J., Knecht, N. S., Knoepfel, K. J., Knowles, D. J., Ko, B. R., Kobayashi, N., Kobayashi, S., Kobayashi, T., Kobel, M. J., Koblitz, S., Koch, H., Kocian, M. L., Kodyš, P., Koeneke, K., Kofler, R., Koike, S., Koishi, S., Koiso, H., Kolb, J. A., Kolya, S. D., Kondo, Y., Konishi, H., Koppenburg, P., Koptchev, V. B., Kordich, T. M. B., Korol, A. A., Korotushenko, K., Korpar, S., Kouzes, R. T., Kovalskyi, D., Kowalewski, R., Kozakai, Y., Kozanecki, W., Kral, J. F., Krasnykh, A., Krause, R., Kravchenko, E. A., Krebs, J., Kreisel, A., Kreps, M., Krishnamurthy, M., Kroeger, R., Kroeger, W., Krokovny, P., Kronenbitter, B., Kroseberg, J., Kubo, T., Kuhr, T., Kukartsev, G., Kulasiri, R., Kulikov, A., Kumar, R., Kumar, S., Kumita, T., Kuniya, T., Kunze, M., Kuo, C. C., Kuo, T. -L., Kurashiro, H., Kurihara, E., Kurita, N., Kuroki, Y., Kurup, A., Kutter, P. E., Kuznetsova, N., Kvasnička, P., Kyberd, P., Kyeong, S. H., Lacker, H. M., Lae, C. K., Lamanna, E., Lamsa, J., Lanceri, L., Landi, L., Lang, M. I., Lange, D. J., Lange, J. S., Langenegger, U., Langer, M., Lankford, A. J., Lanni, F., Laplace, S., Latour, E., Lau, Y. P., Lavin, D. R., Layter, J., Lebbolo, H., LeClerc, C., Leddig, T., Leder, G., Diberder, F. Le, Lee, C. L., Lee, J., Lee, J. S., Lee, M. C., Lee, M. H., Lee, M. J., Lee, S. -J., Lee, S. E., Lee, S. H., Lee, Y. J., Lees, J. P., Legendre, M., Leitgab, M., Leitner, R., Leonardi, E., Leonidopoulos, C., Lepeltier, V., Leruste, Ph., Lesiak, T., Levi, M. E., Levy, S. L., Lewandowski, B., Lewczuk, M. J., Lewis, P., Li, H., Li, H. B., Li, S., Li, X., Li, Y., Gioi, L. Li, Libby, J., Lidbury, J., Lillard, V., Lim, C. L., Limosani, A., Lin, C. S., Lin, J. Y., Lin, S. W., Lin, Y. S., Lindquist, B., Lindsay, C., Lista, L., Liu, C., Liu, F., Liu, H., Liu, H. M., Liu, J., Liu, R., Liu, T., Liu, Y., Liu, Z. Q., Liventsev, D., Vetere, M. Lo, Locke, C. B., Lockman, W. S., Di Lodovico, F., Lombardo, V., London, G. W., Pegna, D. Lopes, Lopez, L., Lopez-March, N., Lory, J., LoSecco, J. M., Lou, X. C., Louvot, R., Lu, A., Lu, C., Lu, M., Lu, R. S., Lueck, T., Luitz, S., Lukin, P., Lund, P., Luppi, E., Lutz, A. M., Lutz, O., Lynch, G., Lynch, H. L., Lyon, A. J., Lyubinsky, V. R., MacFarlane, D. B., Mackay, C., MacNaughton, J., Macri, M. M., Madani, S., Mader, W. F., Majewski, S. A., Majumder, G., Makida, Y., Malaescu, B., Malaguti, R., Malclès, J., Mallik, U., Maly, E., Mamada, H., Manabe, A., Mancinelli, G., Mandelkern, M., Mandl, F., Manfredi, P. F., Mangeol, D. J. J., Manoni, E., Mao, Z. P., Margoni, M., Marker, C. E., Markey, G., Marks, J., Marlow, D., Marques, V., Marsiske, H., Martellotti, S., Martin, E. C., Martin, J. P., Martin, L., Martinez, A. J., Marzolla, M., Mass, A., Masuzawa, M., Mathieu, A., Matricon, P., Matsubara, T., Matsuda, T., Matsumoto, H., Matsumoto, S., Matsumoto, T., Matsuo, H., Mattison, T. S., Matvienko, D., Matyja, A., Mayer, B., Mazur, M. A., Mazzoni, M. A., McCulloch, M., McDonald, J., McFall, J. D., McGrath, P., McKemey, A. K., McKenna, J. A., Mclachlin, S. E., McMahon, S., McMahon, T. R., McOnie, S., Medvedeva, T., Melen, R., Mellado, B., Menges, W., Menke, S., Merchant, A. M., Merkel, J., Messner, R., Metcalfe, S., Metzler, S., Meyer, N. T., Meyer, T. I., Meyer, W. T., Michael, A. K., Michelon, G., Michizono, S., Micout, P., Miftakov, V., Mihalyi, A., Mikami, Y., Milanes, D. A., Milek, M., Mimashi, T., Minamora, J. S., Mindas, C., Minutoli, S., Mir, L. M., Mishra, K., Mitaroff, W., Miyake, H., Miyashita, T. S., Miyata, H., Miyazaki, Y., Moffitt, L. C., Mohapatra, A., Mohapatra, A. K., Mohapatra, D., Moll, A., Moloney, G. R., Mols, J. P., Mommsen, R. K., Monge, M. R., Monorchio, D., Moore, T. B., Moorhead, G. F., de Freitas, P. Mora, Morandin, M., Morgan, N., Morgan, S. E., Morganti, M., Morganti, S., Mori, S., Mori, T., Morii, M., Morris, J. P., Morsani, F., Morton, G. W., Moss, L. J., Mouly, J. P., Mount, R., Mueller, J., Müller-Pfefferkorn, R., Mugge, M., Muheim, F., Muir, A., Mullin, E., Munerato, M., Murakami, A., Murakami, T., Muramatsu, N., Musico, P., Nagai, I., Nagamine, T., Nagasaka, Y., Nagashima, Y., Nagayama, S., Nagel, M., Naisbit, M. T., Nakadaira, T., Nakahama, Y., Nakajima, M., Nakajima, T., Nakamura, I., Nakamura, T., Nakamura, T. T., Nakano, E., Nakayama, H., Nam, J. W., Narita, S., Narsky, I., Nash, J . A., Natkaniec, Z., Nauenberg, U., Nayak, M., Neal, H., Nedelkovska, E., Negrini, M., Neichi, K., Nelson, D., Nelson, S., Neri, N., Nesom, G., Neubauer, S., Newman-Coburn, D., Ng, C., Nguyen, X., Nicholson, H., Niebuhr, C., Nief, J. Y., Niiyama, M., Nikolich, M. B., Nisar, N. K., Nishimura, K., Nishio, Y., Nitoh, O., Nogowski, R., Noguchi, S., Nomura, T., Nordby, M., Nosochkov, Y., Novokhatski, A., Nozaki, S., Nozaki, T., Nugent, I. M., O'Grady, C. P., O'Neale, S. W., O'Neill, F. G., Oberhof, B., Oddone, P. J., Ofte, I., Ogawa, A., Ogawa, K., Ogawa, S., Ogawa, Y., Ohkubo, R., Ohmi, K., Ohnishi, Y., Ohno, F., Ohshima, T., Ohshima, Y., Ohuchi, N., Oide, K., Oishi, N., Okabe, T., Okazaki, N., Okazaki, T., Okuno, S., Olaiya, E. O., Olivas, A., Olley, P., Olsen, J., Ono, S., Onorato, G., Onuchin, A. P., Onuki, Y., Ooba, T., Orimoto, T. J., Oshima, T., Osipenkov, I. L., Ostrowicz, W., Oswald, C., Otto, S., Oyang, J., Oyanguren, A., Ozaki, H., Ozcan, V. E., Paar, H. P., Padoan, C., Paick, K., Palka, H., Pan, B., Pan, Y., Vazquez, W. Panduro, Panetta, J., Panova, A. I., Panvini, R. S., Panzenböck, E., Paoloni, E., Paolucci, P., Pappagallo, M., Paramesvaran, S., Park, C. S., Park, C. W., Park, H., Park, H. K., Park, K. S., Park, W., Parry, R. J., Parslow, N., Passaggio, S., Pastore, F. C., Patel, P. M., Patrignani, C., Patteri, P., Pavel, T., Pavlovich, J., Payne, D. J., Peak, L. S., Peimer, D. R., Pelizaeus, M., Pellegrini, R., Pelliccioni, M., Peng, C. C., Peng, J. C., Peng, K. C., Peng, T., Penichot, Y., Pennazzi, S., Pennington, M. R., Penny, R. C., Penzkofer, A., Perazzo, A., Perez, A., Perl, M., Pernicka, M., Perroud, J. -P., Peruzzi, I. M., Pestotnik, R., Peters, K., Peters, M., Petersen, B. A., Petersen, T. C., Petigura, E., Petrak, S., Petrella, A., Petrič, M., Petzold, A., Pia, M. G., Piatenko, T., Piccolo, D., Piccolo, M., Piemontese, L., Piemontese, M., Pierini, M., Pierson, S., Pioppi, M., Piredda, G., Pivk, M., Plaszczynski, S., Polci, F., Pompili, A., Poropat, P., Posocco, M., Potter, C. T., Potter, R. J. L., Prasad, V., Prebys, E., Prencipe, E., Prendki, J., Prepost, R., Prest, M., Prim, M., Pripstein, M., Prudent, X., Pruvot, S., Puccio, E. M. T., Purohit, M. V., Qi, N. D., Quinn, H., Raaf, J., Rabberman, R., Raffaelli, F., Ragghianti, G., Rahatlou, S., Rahimi, A. M., Rahmat, R., Rakitin, A. Y., Randle-Conde, A., Rankin, P., Rashevskaya, I., Ratkovsky, S., Raven, G., Re, V., Reep, M., Regensburger, J. J., Reidy, J., Reif, R., Reisert, B., Renard, C., Renga, F., Ricciardi, S., Richman, J. D., Ritchie, J. L., Ritter, M., Rivetta, C., Rizzo, G., Roat, C., Robbe, P., Roberts, D. A., Robertson, A. I., Robutti, E., Rodier, S., Rodriguez, D. M., Rodriguez, J. L., Rodriguez, R., Roe, N. 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R., Schietinger, T., Schilling, C. J., Schindler, R. H., Schmid, S., Schmitz, R. E., Schmuecker, H., Schneider, O., Schnell, G., Schönmeier, P., Schofield, K. C., Schott, G., Schröder, H., Schram, M., Schubert, J., Schümann, J., Schultz, J., Schumm, B. A., Schune, M. H., Schwanke, U., Schwarz, H., Schwiening, J., Schwierz, R., Schwitters, R. F., Sciacca, C., Sciolla, G., Scott, I. J., Seeman, J., Seiden, A., Seitz, R., Seki, T., Sekiya, A. I., Semenov, S., Semmler, D., Sen, S., Senyo, K., Seon, O., Serbo, V. V., Serednyakov, S. I., Serfass, B., Serra, M., Serrano, J., Settai, Y., Seuster, R., Sevior, M. E., Shakhova, K. V., Shang, L., Shapkin, M., Sharma, V., Shebalin, V., Shelkov, V. G., Shen, B. C., Shen, D. Z., Shen, Y. T., Sherwood, D. J., Shibata, T., Shibata, T. A., Shibuya, H., Shidara, T., Shimada, K., Shimoyama, M., Shinomiya, S., Shiu, J. G., Shorthouse, H. W., Shpilinskaya, L. I., Sibidanov, A., Sicard, E., Sidorov, A., Sidorov, V., Siegle, V., Sigamani, M., Simani, M. C., Simard, M., Simi, G., Simon, F., Simonetto, F., Sinev, N. B., Singh, H., Singh, J. B., Sinha, R., Sitt, S., Skovpen, Yu. I., Sloane, R. J., Smerkol, P., Smith, A. J. S., Smith, D., Smith, D. S., Smith, J. G., Smol, A., Snoek, H. L., Snyder, A., So, R. Y., Sobie, R. J., Soderstrom, E., Soha, A., Sohn, Y. S., Sokoloff, M. D., Sokolov, A., Solagna, P., Solovieva, E., Soni, N., Sonnek, P., Sordini, V., Spaan, B., Spanier, S. M., Spencer, E., Speziali, V., Spitznagel, M., Spradlin, P., Staengle, H., Stamen, R., Stanek, M., Stanič, S., Stark, J., Steder, M., Steininger, H., Steinke, M., Stelzer, J., Stevanato, E., Stocchi, A., Stock, R., Stoeck, H., Stoker, D. P., Stroili, R., Strom, D., Strother, P., Strube, J., Stugu, B., Stypula, J., Su, D., Suda, R., Sugahara, R., Sugi, A., Sugimura, T., Sugiyama, A., Suitoh, S., Sullivan, M. K., Sumihama, M., Sumiyoshi, T., Summers, D. J., Sun, L., Sun, S., Sundermann, J. E., Sung, H. F., Susaki, Y., Sutcliffe, P., Suzuki, A., Suzuki, J., Suzuki, J. I., Suzuki, K., Suzuki, S., Suzuki, S. Y., Swain, J. E., Swain, S. K., T'Jampens, S., Tabata, M., Tackmann, K., Tajima, H., Tajima, O., Takahashi, K., Takahashi, S., Takahashi, T., Takasaki, F., Takayama, T., Takita, M., Tamai, K., Tamponi, U., Tamura, N., Tan, N., Tan, P., Tanabe, K., Tanabe, T., Tanaka, H. A., Tanaka, J., Tanaka, M., Tanaka, S., Tanaka, Y., Tanida, K., Taniguchi, N., Taras, P., Tasneem, N., Tatishvili, G., Tatomi, T., Tawada, M., Taylor, F., Taylor, G. N., Taylor, G. P., Telnov, V. I., Teodorescu, L., Ter-Antonyan, R., Teramoto, Y., Teytelman, D., Thérin, G., Thiebaux, Ch., Thiessen, D., Thomas, E. W., Thompson, J. M., Thorne, F., Tian, X. C., Tibbetts, M., Tikhomirov, I., Tinslay, J. S., Tiozzo, G., Tisserand, V., Tocut, V., Toki, W. H., Tomassini, E. W., Tomoto, M., Tomura, T., Torassa, E., Torrence, E., Tosi, S., Touramanis, C., Toussaint, J. C., Tovey, S. N., Trapani, P. 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E., Walker, D., Walkowiak, W., Wallom, D., Wang, C. C., Wang, C. H., Wang, J., Wang, J. G., Wang, K., Wang, L., Wang, L. L., Wang, P., Wang, T. J., Wang, W. F., Wang, X. L., Wang, Y. F., Wappler, F. R., Watanabe, M., Watson, A. T., Watson, J. E., Watson, N. K., Watt, M., Weatherall, J. H., Weaver, M., Weber, T., Wedd, R., Wei, J. T., Weidemann, A. W., Weinstein, A. J. R., Wenzel, W. A., West, C. A., West, C. G., West, T. J., White, E., White, R. M., Wicht, J., Widhalm, L., Wiechczynski, J., Wienands, U., Wilden, L., Wilder, M., Williams, D. C., Williams, G., Williams, J. C., Williams, K. M., Williams, M. I., Willocq, S. Y., Wilson, J. R., Wilson, M. G., Wilson, R. J., Winklmeier, F., Winstrom, L. O., Winter, M. A., Wisniewski, W. J., Wittgen, M., Wittlin, J., Wittmer, W., Wixted, R., Woch, A., Wogsland, B. J., Wong, Q. K., Wray, B. C., Wren, A. C., Wright, D. M., Wu, C. H., Wu, J., Wu, S. L., Wulsin, H. W., Xella, S. M., Xie, Q. L., Xie, Y., Xu, Z. Z., Yèche, Ch., Yamada, Y., Yamaga, M., Yamaguchi, A., Yamaguchi, H., Yamaki, T., Yamamoto, H., Yamamoto, N., Yamamoto, R. K., Yamamoto, S., Yamanaka, T., Yamaoka, H., Yamaoka, J., Yamaoka, Y., Yamashita, Y., Yamauchi, M., Yan, D. S., Yan, Y., Yanai, H., Yanaka, S., Yang, H., Yang, R., Yang, S., Yarritu, A. K., Yashchenko, S., Yashima, J., Yasin, Z., Yasu, Y., Ye, S. W., Yeh, P., Yi, J. I., Yi, K., Yi, M., Yin, Z. W., Ying, J., Yocky, G., Yokoyama, K., Yokoyama, M., Yokoyama, T., Yoshida, K., Yoshida, M., Yoshimura, Y., Young, C. C., Yu, C. X., Yu, Z., Yuan, C. Z., Yuan, Y., Yumiceva, F. X., Yusa, Y., Yushkov, A. N., Yuta, H., Zacek, V., Zain, S. B., Zallo, A., Zambito, S., Zander, D., Zang, S. L., Zanin, D., Zaslavsky, B. G., Zeng, Q. L., Zghiche, A., Zhang, B., Zhang, J., Zhang, L., Zhang, L. M., Zhang, S. Q., Zhang, Z. P., Zhao, H. W., Zhao, M., Zhao, Z. G., Zheng, Y., Zheng, Y. H., Zheng, Z. P., Zhilich, V., Zhou, P., Zhu, R. Y., Zhu, Y. S., Zhu, Z. M., Zhulanov, V., Ziegler, T., Ziegler, V., Zioulas, G., Zisman, M., Zito, M., Zürcher, D., Zwahlen, N., Zyukova, O., Živko, T., and Žontar, D.
Subjects: High Energy Physics - Experiment, High Energy Physics - Phenomenology
Abstract: This work is on the Physics of the B Factories. Part A of this book contains a brief description of the SLAC and KEK B Factories as well as their detectors, BaBar and Belle, and data taking related issues. Part B discusses tools and methods used by the experiments in order to obtain results. The results themselves can be found in Part C. Please note that version 3 on the archive is the auxiliary version of the Physics of the B Factories book. This uses the notation alpha, beta, gamma for the angles of the Unitarity Triangle. The nominal version uses the notation phi_1, phi_2 and phi_3. Please cite this work as Eur. Phys. J. C74 (2014) 3026., Comment: 928 pages, version 3 (arXiv:1406.6311v3) corresponds to the alpha, beta, gamma version of the book, the other versions use the phi1, phi2, phi3 notation
Published: 2014
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7. Models and algorithms for reconstruction and examination of emergency events of road accidents based on logical artificial intelligence

Author: Chuvikov, Dmitriy, primary
Published: 2021
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8. High‐pressure methane storage on metal‐organic frameworks

Author: Chuvikov, Sergey V., primary and Klyamkin, Semen N., additional
Published: 2023
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9. Effect of ion beam radiation on the microstructure and porosity of dysprosium hafnate

Author: A. A. Urusov, S. V. Chuvikov, K. K. Polunin, and A. V. Tenishev
Subjects: Materials Chemistry, Metals and Alloys, Ceramics and Composites, Physical and Theoretical Chemistry, Condensed Matter Physics, Surfaces, Coatings and Films
Published: 2022
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10. Assessment of high‐pressure hydrogen storage performance of Basolite <scp>metal‐organic</scp> frameworks

Author: Sergey V. Chuvikov and Semen N. Klyamkin
Subjects: Fuel Technology, Nuclear Energy and Engineering, Renewable Energy, Sustainability and the Environment, Energy Engineering and Power Technology
Published: 2022
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11. High‐pressure methane storage on metal‐organic frameworks.

Author: Chuvikov, Sergey V. and Klyamkin, Semen N.
Subjects: *METAL-organic frameworks, *COMPRESSED gas, *ENTHALPY, *ADSORPTION capacity, *STORAGE
Abstract: Methane storage performance of a series of metal‐organic frameworks (MOFs) has been thoroughly examined over a wide pressure range up to 750 bar. Based on volumetric adsorption measurements, crystal structure and porous texture characterization, excess, total and working adsorption capacities, and heat of adsorption as functions of pressure have been evaluated. It has been found that the use of MOFs demonstrates a significant advantage in methane storage capacity over compressed gas, and the Gain can reach 300% to 400% depending on the pressure‐temperature operating conditions. However, the benefit of adsorption storage drops with increasing pressure. Even for the best MOF adsorbent, this methane storage method becomes technologically unreasonable above 280 bar. The data obtained allowed us to conclude that conventionally reported excess adsorption does not give a complete picture of the effectiveness of MOFs. Besides high specific surface area, optimal density of the skeleton and moderate heat of adsorption are required for the best storage performance. [ABSTRACT FROM AUTHOR]
Published: 2024
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12. Factors Determining the Fate of Contemporary War

Author: Chuvikov, Pavel A., primary
Published: 2019
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13. DESIGNING ALGORITHMS FOR SOLVING PHYSICS PROBLEMS ON THE BASIS OF MIVAR APPROACH

Author: Dmitry Alekseevich Chuvikov and Konstantin Vladimirovich Nazarov
Subjects: algorithm calculation, mivar, Wi!Mi 2.1, «physics» subject domain, expert system, mivar networks, mivar-based approach, Construction industry, HD9715-9717.5
Abstract: The paper considers the process of designing algorithms for solving physics problems on the basis of mivar approach. The work also describes general principles of mivar theory. The concepts of parameter, relation and class in mivar space are considered. There are descriptions of properties which every object in Wi!Mi model should have. An experiment in testing capabilities of the Wi!Mi software has been carried out, thus the model has been designed which solves physics problems from year 8 school course in Russia. To conduct the experiment a new version of Wi!Mi 2.1 software has been used. The physics model deals with the following areas: thermal phenomena, electric and electromagnetic phenomena, optical phenomena.
Published: 2017
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14. DESIGNING ALGORITHMS FOR SERVICE ROBOTS ON THE BASIS OF MIVAR APPROACH

Author: Alexey Andreevich Panferov, Elizaveta Alexandrovna Zhdanovich, Konstantin Anatolevich Yufimychev, and Dmitry Alekseevich Chuvikov
Subjects: algorithm calculation, artificial intelligence, MIVAR, service robotics, robot, simulation modeling, Construction industry, HD9715-9717.5
Abstract: Opportunities of mivar-based approach for robots have been analyzed. Mivar-based method of rapid logical inference for calculating random algorithms of service robot functioning has been tested successfully. The logical model of office robot-guide functioning with the application of mivar-based method of rapid logical inference in the software environment “KESMI” (Wi!Mi 1.1) has been developed. Formalized map of the office for service robot has been described in mivar matrix, 63 objects for 100 rules. Simulation of robot functioning in the software environment V-REP has been performed.
Published: 2017
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15. A Software Package Supporting Decision Making on the Safety of Thermolabile Blood Components

Author: O. O. Varlamov, D. A. Chuvikov, V. N. Lemondzhava, A. G. Gudkov, D. V. Aladin, L. E. Adamova, V. G. Osipov, A. V. Chechetkin, V. Yu. Leushin, A. D. Kasyanov, and N. A. Vetrova
Subjects: Medical Laboratory Technology, Biomedical Engineering, Medicine (miscellaneous)
Published: 2022
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16. Effect of ion beam radiation on the microstructure and porosity of dysprosium hafnate

Author: Urusov, A. A., primary, Chuvikov, S. V., additional, Polunin, K. K., additional, and Tenishev, A. V., additional
Published: 2022
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17. Creating a Knowledge Base for a Mivar Expert System for the Diagnosis of Diabetes Mellitus

Author: V G Osipov, D. V. Aladin, O. O. Varlamov, D. A. Chuvikov, H. Kim, and L. E. Adamova
Subjects: Computer science, business.industry, 0206 medical engineering, Biomedical Engineering, Medicine (miscellaneous), 02 engineering and technology, computer.software_genre, 020601 biomedical engineering, Expert system, Medical Laboratory Technology, Risk analysis (engineering), Knowledge base, Production (economics), business, computer
Abstract: Rule-based production expert systems have been used in medicine for a long time. The article shows how a mivar expert system can be used for the diagnosis of diabetes mellitus. Development of such a system is described. It involves creating a knowledge base in the form of a mivar net of parameters and rules, which is then entered in Wi!Mi to obtain the parameters and carry out the diagnosis. A prototype of the mivar knowledge base was created in the form of tables containing 62 parameters and 27 rules. In the future, evolution of the mivar knowledge base should lead to its growth.
Published: 2021
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18. Logical, Philosophical and Ethical Aspects of AI in Medicine

Author: Tatyana N. Zhilina, Dmitry Alekseevich Chuvikov, O. O. Varlamov, Maxim A. Petrov, Irina K. Zabolotskaya, L. E. Adamova, and and Mivar Ltd, Moscow, Russia
Subjects: Information Systems and Management, Artificial Intelligence, Computer science, Computer Science Applications, Epistemology
Published: 2019
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19. Creating a “Logical intelligent plant care system” in digital agriculture based on Mivar approach

Author: Aladin, D V, primary, Aladina, E V, additional, Chuvikov, D A, additional, Varlamov, O O, additional, and Adamova, L E, additional
Published: 2022
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20. A new method for creating Mivar knowledge bases in tabular-matrix form for ground intelligent vehicle control systems

Author: Chuvikov, D A, primary, Aladin, D V, additional, Adamova, L E, additional, Varlamov, O O, additional, and Osipov, V G, additional
Published: 2021
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21. Peculiarities of high-pressure hydrogen adsorption on Pt catalyzed Cu-BTC metal-organic framework

Author: E A Ugolkova, S.V. Chuvikov, V V Minin, A Krautsou, E. A. Berdonosova, J V Kostina, and Semen N. Klyamkin
Subjects: Materials science, Hydrogen, General Physics and Astronomy, chemistry.chemical_element, 02 engineering and technology, 010402 general chemistry, 021001 nanoscience & nanotechnology, 01 natural sciences, Chemical reaction, 0104 chemical sciences, Catalysis, Adsorption, chemistry, Chemical engineering, Specific surface area, Titration, Metal-organic framework, Physical and Theoretical Chemistry, 0210 nano-technology, Mesoporous material
Abstract: Hydrogen adsorption ability is a key parameter characterizing advanced porous materials. Herein, the influence of platinum catalyst on the interaction of Cu-BTC with hydrogen is thoroughly investigated using volumetric measurements, calorimetric titration, XRD, and IR- and EPR spectroscopy. The first hydrogen adsorption by the Cu-BTC + Pt/C composite leads to an irreversible chemical reaction related to the formation of structural defects during synthesis. This process results in a partial reduction of Cu2+ to Cu0 and is accompanied by a decrease in the specific surface area and the appearance of additional mesopores. The following hydrogen adsorption-desorption cycles are completely reversible and reproducible. Besides, the Pt-containing material maintains a positive trend in excess adsorption up to ultra-high pressures in contrast with pristine Cu-BTC. Above 300-400 bars, it demonstrates a significant superiority in hydrogen capacity over the catalyst-free MOF. The possible nature of such a peculiar phenomenon is suggested.
Published: 2021

22. Models and algorithms for reconstruction and examination of emergency events of road accidents based on logical artificial intelligence

Author: Dmitriy Chuvikov
Subjects: Computer science, business.industry, Artificial intelligence, business
Abstract: The purpose of the monograph is to create a methodology, combined expert and simulation models, as well as algorithms and software-modeling tools for reconstruction and examination of accident events for automating decision-making by an expert center employee. The methodology of combining and algorithms of joint work of an expert system based on logical artificial intelligence (mivar approach) and a simulation system for solving problems of reconstruction and examination of road accidents are developed; model reconstruction and examination of the accident in the formalism of the knowledge base bipartite oriented mivar nets, including analysis formulas braking qualities of the vehicle, determining the speed of a car's performance in terms of specific DTS, the formula for calculating different occasions: - slip car when braking, driving on curved sections of the road, hitting a car on the pedestrian in uniform motion and unlimited visibility; a method of generation of interfaces for designer expert systems based on the concept of mivar approach; special software in the form of expert systems "Analysis of road accident" in order to reduce the complexity of the process of calculating the disputed accidents, errors in the calculation and improve the accuracy and objectivity of the results obtained and the speed and quality of the calculations. It can be useful to specialists of expert institutions, insurance companies, educational institutions in the field of expertise, as well as unmanned vehicles in terms of objective analysis and examination of road accidents.
Published: 2021
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23. Creating a 'Logical intelligent plant care system' in digital agriculture based on Mivar approach

Author: D V Aladin, E V Aladina, D A Chuvikov, O O Varlamov, and L E Adamova
Abstract: This work is devoted to developing an automated information processing and management system based on logical artificial intelligence. The proposed system has been designed to support the process of growing agricultural and house plants. This research is one of the global trends of intelligent tools and services application in the agricultural industry for improving human environmental and food safety. This work is a practical demonstration on mivar expert systems operation in the control loop with cyclic and calendar planning of processes. The results obtained in this work can be used as an information basis for implementing automated farms in urban environments. This implementation is based on mivar knowledge base platform which allows considering individual characteristics of crop growth, making decisions in conditions of heterogeneous sensor data, and timely adjusting the process of plants growing.
Published: 2022
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24. Peculiarities of high-pressure hydrogen adsorption on Pt catalyzed Cu-BTC metal–organic framework

Author: Chuvikov, S. V., primary, Berdonosova, E. A., additional, Krautsou, A., additional, Kostina, J. V., additional, Minin, V. V., additional, Ugolkova, E. A., additional, and Klyamkin, S. N., additional
Published: 2021
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25. A new method for creating Mivar knowledge bases in tabular-matrix form for ground intelligent vehicle control systems

Author: V G Osipov, L. E. Adamova, D. V. Aladin, O. O. Varlamov, and D. A. Chuvikov
Subjects: History, Computer science, Vehicle control, Control engineering, Matrix form, Computer Science Applications, Education
Abstract: This research presents a methodology for creating mivar knowledge bases in tabular-matrix form for ground intelligent vehicle control systems. At its core, this methodology is kind of instruction for analysts facing the task of formalizing knowledge in a given subject area. The result of this formalization is a “knowledge map” created according to a special proposed template. In the future, this template allows forming a knowledge base for a given subject area in the formalism of bipartite oriented mivar networks. As an example, the subject area of ground-based intelligent vehicle control systems is used as a template. The proposed methodology of knowledge formalization makes it possible to simplify the process of creating models in Wi!Mi “Razumator-Consultant” 2.1 and also to level the probability of logical collisions when designing a knowledge model in the formalism of bipartite oriented mivar networks.
Published: 2021
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26. Creation of autonomous groups of combine harvesters and tractors for agriculture based on the Mivar decision-making systems “ROBO!RAZUM”

Author: Varlamov, O O, primary, Aladin, D V, additional, Adamova, L E, additional, Chuvikov, D A, additional, and Saraev, D V, additional
Published: 2020
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27. About the project developing “MIPRA” – the intelligent planner in the state space for vehicles, tractors, and robots based on the architectural solutions of the Mivar systems for traffic enforcement

Author: Aladin, D V, primary, Varlamov, O O, additional, Adamova, L E, additional, Chuvikov, D A, additional, and Fedoseev, D A, additional
Published: 2020
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28. Control of vehicles and robots: creating of knowledge bases for mivar decision making systems robots and vehicles

Author: Aladin, D V, primary, Varlamov, O O, additional, Adamova, L E, additional, Chuvikov, D A, additional, and Saraev, D V, additional
Published: 2020
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29. Control of vehicles and robots: creation of planning systems in the state space (MIPRA)

Author: Aladin, D V, primary, Varlamov, O O, additional, Chuvikov, D A, additional, Adamova, L E, additional, and Fedoseev, D A, additional
Published: 2020
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30. Control of machines and robots: creation of mivar decision-making systems for controlling autonomous tractors and special vehicles of the ministry of emergencies

Author: Aladin, D V, primary, Varlamov, O O, additional, Chuvikov, D A, additional, Adamova, L E, additional, and Saraev, D V, additional
Published: 2020
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31. APPLICATION OF EXPERT MODELING IN NEW KNOWLEDGE OBTAINED BY MAN

Author: D. A. Chuvikov
Subjects: Structure (mathematical logic), advantages and disadvantages, intelligent systems, Engineering, expert modeling, TK7800-8360, business.industry, Management science, Intelligent decision support system, expert systems, modeling, computer.software_genre, artificial intelligence, Microbiology, Class (biology), retrospective analysis, Expert system, technology, Retrospective analysis, Electronics, business, computer
Abstract: The article deals with a class of expert modeling systems. The term «expert» modeling is reviewed in detail, a retrospective analysis of expert systems is performed, a generalized minimal structure of the expert system is presented in the form of a diagram, and classification of expert systems is reviewed. The article is focused on the key advantages and disadvantages in the use of expert systems, as well as the prospects for using expert systems are discussed.
Published: 2017

32. Factors Determining the Fate of Contemporary War

Author: Pavel A. Chuvikov
Published: 2019
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33. METHODS OF AUTOMATION OF SUPERVISORY CONTROL SYSTEM BASED ON THE URBAN PASSENGER TRAFFIC SOFTWARE EXPERTISE SYSTEM

Author: D. A. Chuvikov, E. V. Teplov, D. V. Saraev, O. O. Varlamov, and Jha Punam
Subjects: Scheme (programming language), Engineering, urban passenger transport (upt), TK7800-8360, Microbiology, Transport engineering, Software, Chart, Supervisory control, erwin, ComputerApplications_MISCELLANEOUS, automation, computer.programming_language, transportation, business.industry, traffic operator, mec (wi mi), anylogic, simulation, expertise system, Automation, scheduling theory, Work (electrical), Public transport, Electronics, business, computer, Ministry of Transport
Abstract: This article describes the overall structure of the urban passenger transport. The article presents the relevant statistical data prepared by the Ministry of Transport of the Russian Federation for «Transport of Russia» Information and Statistics bulletin for January–March, 2016 on transportation of passengers by public transport, and presents the dynamics of passenger traffic for common use public transport for 2014–2016 period in the form of the chart. The automated tools for preparation and monitoring of traffic schedules for public urban transport have been analyzed. Such systems as Fara-0080, PIKAS, PMT, SKAT and APAS have been reviewed. Techniques of supervisory control automation have been proposed on the basis of urban passenger transport expertise system with the use of scheduling theory algorithms. This work also presents the infological scheme for database data of automated manager, which was prepared with the use of CASE – the tool for automated building and design of ERwin databases. And also by way of experiment a simulation model of automated supervisory control of urban passenger traffic has been demonstrated in AnyLogic software environment.
Published: 2016
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34. About the project developing 'MIPRA' – the intelligent planner in the state space for vehicles, tractors, and robots based on the architectural solutions of the Mivar systems for traffic enforcement

Author: O. O. Varlamov, L. E. Adamova, D. A. Fedoseev, D. V. Aladin, and D. A. Chuvikov
Subjects: Traffic enforcement, Operations research, Computer science, Robot, State space, Planner, computer, computer.programming_language
Abstract: The task of creating a logical “strong” artificial intelligence (AI) to be used as new decision-making systems for autonomous vehicles, tractors, and robotic systems draws increasing attention of scientists around the world. Essentially, it is the creation of “brains” for vehicles and any other transport systems, including cyber-physical systems. The mivar technologies of logical AI allowed solving many problems at a qualitatively new level and reducing the decision-making time from billions of years to hundredths of seconds, which enables real-time vehicle control. This paper shows how the application of mivar products (mivar expert systems) allows solving another class of problems – state-space planning (STRIPS planning). In turn, the solutions of these problems enable the development of driver assistance systems at a new level and creation of a fully autonomous vehicle.
Published: 2020
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35. Creation of autonomous groups of combine harvesters and tractors for agriculture based on the Mivar decision-making systems 'ROBO!RAZUM'

Author: L. E. Adamova, D. V. Saraev, D. V. Aladin, D. A. Chuvikov, and O. O. Varlamov
Subjects: Computer science, Agriculture, business.industry, Agricultural engineering, business, Combine harvester
Abstract: The Mivar decision-making system (MDMS) “ROBO!RAZUM” can be used to control autonomous combine harvesters and tractors, which can additionally perform a variety of actions in the process of moving through the field: working in group interaction mode, performing tasks in different weather conditions and even with a faulty or disabled technical vision using the internal map of the area and information from internal inertial sensors or from the GLONASS system. The theoretical basis for the application of MDMS “ROBO!RAZUM” is the result of the practical implementation of MIPRA program, which dramatically reduced the requirements for equipment and time to solve the problems of STRIPS-planning robot actions.
Published: 2020
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36. Control of vehicles and robots: creating of knowledge bases for mivar decision making systems robots and vehicles

Author: L. E. Adamova, O. O. Varlamov, D. V. Saraev, D. V. Aladin, and D. A. Chuvikov
Subjects: Computer science, Human–computer interaction, Control (management), Robot
Abstract: An important element in the control of machines and robots is the Mivar decision-making system based on production rules and cause-effect relationships. For example, unmanned vehicles must know the traffic laws rules in a real environment. It is shown how young scientists and students of the department “Information Processing and Control Systems” of the Bauman Moscow State Technical University successfully create production knowledge bases for mivar decision-making systems for unmanned vehicles and robotic systems. It is proposed to use actively our experience in all educational and scientific institutions where they solve the problems of controlling machines and robots.
Published: 2020
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37. Control of machines and robots: creation of mivar decision-making systems for controlling autonomous tractors and special vehicles of the ministry of emergencies

Author: D. V. Aladin, D. V. Saraev, O. O. Varlamov, D. A. Chuvikov, and L. E. Adamova
Subjects: Engineering management, Computer science, Control (management), Robot, Christian ministry
Abstract: To control machines and robots, it is proposed, in addition to well-known control systems of the reflex level, to use a logical level Mivar decision-making systems. In this report, the scientific background on the application of the Mivar technologies for controlling autonomous tractors and special vehicles of the Ministry of Emergencies is shown. The decision-making systems “ROBO!RAZUM” can, on conventional computers and in real time, control autonomous multilevel heterogeneous robotic systems to perform complex actions under conditions of heterogeneous dynamic obstacles and adaptively solve tasks even with malfunctioning technical vision. The main difficulties of the complex of tasks of the “tractor of the Ministry of Emergencies” are analyzed, which are successfully solved by the Mivar decision-making systems for controlling machines and robots.
Published: 2020
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38. Control of vehicles and robots: creation of planning systems in the state space (MIPRA)

Author: O. O. Varlamov, D. V. Aladin, D. A. Fedoseev, L. E. Adamova, and D. A. Chuvikov
Subjects: Computer science, Control (management), Business system planning, Robot, State space, Control engineering
Abstract: To control machines and robots, in addition to the well-known reflex level control systems, it is proposed to use logical level decision-making systems that are created on the basis of mivar expert systems. It is shown that the use of mivar expert systems makes it possible to solve problems of automatic planning of actions of robots in the state space. These tasks relate to STRIPS planning. The results of the study of the Mivar-based Intelligent Planner of Robot Actions (MIPRA) project have dramatically reduced the computing infrastructure requirements from servers to conventional computers and the time it takes to plan tasks for robot activities from weeks to seconds. Similar results after creating special knowledge bases can be obtained for groups of robots, multi-level heterogeneous robotic systems and cyber-physical systems of various bases and purposes, which is an important section in the control of machines and robots. Solving automatic planning tasks makes it possible to quickly develop driver assistance systems and move on to creating a fully autonomous smart car.
Published: 2020
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39. Mivar models of reconstruction and expertise of emergency events of road accidents

Author: Chuvikov, D A, primary, Varlamov, O O, additional, Aladin, D V, additional, Chernenkiy, V M, additional, and Baldin, A V, additional
Published: 2019
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40. Logical artificial intelligence Mivar technologies for autonomous road vehicles

Author: Varlamov, O O, primary, Chuvikov, D A, additional, Aladin, D V, additional, Adamova, L E, additional, and Osipov, V G, additional
Published: 2019
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41. Logic-based artificial intelligence in systems for monitoring the enforcing traffic regulations

Author: Aladin, D V, primary, Varlamov, O O, additional, Chuvikov, D A, additional, Chernenkiy, V M, additional, Smelkova, E A, additional, and Baldin, A V, additional
Published: 2019
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42. The government support of small innovative business: policy and practice

Author: Chechenkina TV and Chuvikov DV
Subjects: Small enterprise, government support, innovations, competitive advantages, export capacity, quality management system
Abstract: The article addresses the issues of the government policy for small and medium-sized enterprises (SMEs). The main focus is on the practical aspects of implementation of the government-funded SubProgramme for SMEs development of the Government Programme of the Russian Federation for Economic Development and Innovative Economy. The key goals, tools and results of the SubProgramme are presented. The authors discuss the opportunities provided by the Program, as well as the barriers faced by enterprises striving to develop their innovation capacity with assistance of the Program. The case of a small manufacturing company with high innovation potential is described to highlight the contradictions of the regulatory framework for SMEs support. The procedure of conirmation of SME status has been simpliied. However, some of legal entities, which fall within the deinition of a Small Enterprise provided by the Federal Law On the development of small and medium-size businesses in the Russian Federation, lost the opportunity to conirm their status as a result of these changes. The need to disseminate the government support to a broader category of companies is articulated in the article. The case of a small manufacturing company with high innovation potential is described to highlight the contradictions of the regulatory framework for SMEs support. It is argued that poor business environment and unavailability of inancial sources have the most signiicant negative impact on SMEs performance. Currently applied terms of lending turn to be unacceptable even for the SMEs participating in the government-funded program. It is demonstrated that the government is trying to solve the problem of low market demand for the products of SMEs in ‘‘manual mode’’ – by putting pressure on large companies. It is concluded that the main focus of the government should be to set up a favorable economic and legal environment for SMEs development., {"references":["ANTONYAN, E. (2015) Small business for export. St. Petersburg International Economic Forum ‒ 2015. RBK newspaper supplement. Issue No. 1 of 18.06.2015. Available from: http://www.rbcplus.ru/ issue/5582415c7a8aa97ed40bfc63 [Accessed: 4th February 2017].","ABEL-KOCH, J. et al. (2015) SME Investment and Innovation: France, Germany, Italy and Spain. Maisons-Alfort Cedex: Bpifrance. Available from:https://www.kfw.de/PDF/Download-Center/Konzernthemen/ Research/PDF-Dokumente-Studien-und-Materialien/SME-Investment- and-Innovation-October-2015.pdf [Accessed: 4th February 2017].","RUSSIA. STATE DUMA OF THE RUSSIAN FEDERATION. (2007) The Federal Law No. 209-FZ of 24.07.2007 On the development of small and medium-size businesses in the Russian Federation. Available from: http:// www.pravo.gov.ru","RUSSIA. GOVERNMENT OF THE RUSSIAN FEDERATION. (2016) Decree No. 265 of 04.04.2016 On the limiting values of income obtained from entrepreneurial activities for each category of small and medium-size businesses. Available from: http://www.pravo.gov.ru","RUSSIA. FEDERAL TAX SERVICE OF RUSSIA. (2017) SME registry. Available from: https://rmsp.nalog.ru/statistics.html [Accessed: 4th February 2017].","RUSSIA. FEDERAL STATISTICS SERVICE OF RUSSIA. (2015) Small and medium-sized business in Russia. 2015. Databook. Moscow: Rosstat","RUSSIA. GOVERNMENT OF THE RUSSIAN FEDERATION. (2016) Decree No. 1083-r of 02.06.2016 (08.12.2016) On approval of the Strategy for small and medium-size business development in the Russian Federation to 2030. Available from http://www.pravo.gov.ru","RUSSIA. THE MINISTRY OF ECONOMIC DEVELOPMENT OF THE RUSSIAN FEDERATION. (2015) The government support of small and medium-sized business in 2016. Presentation. Available from:http://er.economy.gov.ru/wps/wcm/connect/ef7a9238-9f2d-4fe2- bc81-6e4606601ca2/Направления+государственной+поддержки+М СП+в+2016+году.pdf?MOD=AJPERES&CACHEID=ef7a9238-9f2d4fe2-bc81-6e4606601ca2 [Accessed: 4th February 2017].","KPMG. (2015) Eiciency evaluation for the SMEs Support Program implemented by the Ministry of Economic Development. Available from: http://smb.gov.ru/files/images/MSP-Executive+summary_final.pdf [Accessed: 4th February 2017].","SME BANK. (May, 2016) SMEs FINDEX: Availability of inancial services for SMEs. Results of the Monitoring. Presentation. Available from:https://www.mspbank.ru/userfiles/findex%202016%20MSP.pdf. [Accessed: 4th February 2017].","TOMSK NEWS. (2014) Climate control for business. Tomskie novosti. 16.01.2014. Available from: http://tomsk-novosti.ru/klimat-kontrol-dlya- biznesa [Accessed: 4th February 2017]."]}
Published: 2017
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43. Luminescence in germania-silica fibers in 1-2 {\mu}m region

Author: N. A. Borshchevskaia, A. A. Sysolyatin, S. V. Tsvetkov, S. P. Kulik, S.V. Chuvikov, K. G. Katamadze, S. N. Klyamkin, and M. V. Fedorov
Subjects: Condensed Matter - Materials Science, Photon, Materials science, Hydrogen, Analytical chemistry, chemistry.chemical_element, Germanium, Laser pumping, 01 natural sciences, Atomic and Molecular Physics, and Optics, 010309 optics, Wavelength, chemistry, 0103 physical sciences, Saturation (graph theory), Fiber, 010306 general physics, Luminescence, Physics - Optics
Abstract: We analyze the origins of the luminescence in germania-silica fibers with high germanium concentration (about 30 mol. % GeO2) in the region 1-2 {\mu}m with a laser pump at the wavelength 532 nm. We show that such fibers demonstrate the high level of luminescence which unlikely allows the observation of photon triplets, generated in a third-order spontaneous parametric down-conversion process in such fibers. The only efficient approach to the luminescence reduction is the hydrogen saturation of fiber samples, however, even in this case the level of residual luminescence is still too high for three-photon registration.
Published: 2017

44. Development of the virtual game simulator

Author: Dmitry Chuvikov
Subjects: Development (topology), Computer science, Virtual game, Simulation
Published: 2017
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45. Luminescence in germania-silica fibers in 1-2 ��m region

Author: Borshchevskaia, N. A., Katamadze, K. G., Kulik, S. P., Klyamkin, S. N., Chuvikov, S. V., Sysolyatin, A. A., Tsvetkov, S. V., and Fedorov, M. V.
Subjects: Materials Science (cond-mat.mtrl-sci), FOS: Physical sciences, Optics (physics.optics)
Abstract: We analyze the origins of the luminescence in germania-silica fibers with high germanium concentration (about 30 mol. % GeO2) in the region 1-2 ��m with a laser pump at the wavelength 532 nm. We show that such fibers demonstrate the high level of luminescence which unlikely allows the observation of photon triplets, generated in a third-order spontaneous parametric down-conversion process in such fibers. The only efficient approach to the luminescence reduction is the hydrogen saturation of fiber samples, however, even in this case the level of residual luminescence is still too high for three-photon registration.
Published: 2017
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46. High-pressure hydrogen storage on modified MIL-101 metal-organic framework

Author: Nina V. Maletskaya, Danil N. Dybtsev, Sergey V. Chuvikov, Ekaterina V. Kogan, Vladimir P. Fedin, Semen N. Klyamkin, and Konstantin A. Kovalenko
Subjects: Renewable Energy, Sustainability and the Environment, Cryo-adsorption, Carbonization, Chemistry, Inorganic chemistry, Energy Engineering and Power Technology, Sorption, Catalysis, Hydrogen storage, Fuel Technology, Adsorption, Nuclear Energy and Engineering, Chemical engineering, Metal-organic framework, Saturation (chemistry)
Abstract: SUMMARY Porous chromium(III) oxoterephthalate MIL-101 possesses an MTN zeolite-type framework with tetrahedral micropores (diameter ~0.8 nm) and two types of mesopores (diameter ~3.0 and 2.8 nm, respectively). The hybrid MIL-101/Pt/C composite materials were produced by a bridge building technique by grinding of ternary mixtures of MIL-101, glucose, and Pt-catalyst, followed by a bridge formation via a carbonization of glucose at 160 °C. The hydrogen adsorption properties of porous materials were investigated at pressures up to 1000 bar. Excess adsorption isotherms measured volumetrically at temperatures of 81 and 298 K evidence a remarkable effect of the catalyst on the material behaviors under high hydrogen pressure. There is no saturation at room temperature within the studied pressure range as the excess hydrogen sorption capacity increases gradually with pressure and reaches 1.5 wt.% instead of maximum 0.4 wt.% for the pristine MIL-101. The maximum total H2 uptake at 298 K is estimated to be 6.1 wt.% that leads to a shift of the upper limit of the efficiency of the storage system from 25 to 250 bar as compared with the unmodified metal–organic framework. The results obtained demonstrate feasibility of advanced high-pressure hydrogen storage systems based on hybrid technology. Copyright © 2014 John Wiley & Sons, Ltd.
Published: 2014
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47. Mivar models of reconstruction and expertise of emergency events of road accidents

Author: A V Baldin, D. V. Aladin, D. A. Chuvikov, V M Chernenkiy, and O O Varlamov
Abstract: The article deals with the problem of creating expert systems for the reconstruction and analysis of motor vehicle accidents (MVA). The need for development of the special expert system of the analysis and examination of road accident for the solution of this problem was formulated. Also, in the article the compatibility models of the Mivar Expert System and the abstract system of simulation modeling were described. In this article, the Mivar expert system “Analysis MVA” is considered as a promising solution for the reconstruction and analysis of traffic accidents. Much attention is drawn to the principles of operation of the mivar systems in the expert analysis of accidents.
Published: 2019
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48. The Physics of the B Factories

Author: Bevan, A, Golob, B, Mannel, T, Prell, S, Yabsley, B, Aihara, H, Anulli, F, Arnaud, N, Aushev, T, Beneke, M, Beringer, J, Bianchi, F, Bigi, I, Bona, M, Brambilla, N, Brodzicka, J, Chang, P, Charles, M, Cheng, C, Cheng, H, Chistov, R, Colangelo, P, Coleman, J, Drutskoy, A, Druzhinin, V, Eidelman, S, Eigen, G, Eisner, A, Faccini, R, Flood, K, Gambino, P, Gaz, A, Gradl, W, Hayashii, H, Higuchi, T, Hulsbergen, W, Hurth, T, Iijima, T, Itoh, R, Jackson, P, Kass, R, Kolomensky, Y, Kou, E, Križan, P, Kronfeld, A, Kumano, S, Kwon, Y, Latham, T, Leith, D, Lüth, V, Martinez-Vidal, F, Meadows, B, Mussa, R, Nakao, M, Nishida, S, Ocariz, J, Olsen, S, Pakhlov, P, Pakhlova, G, Palano, A, Pich, A, Playfer, S, Poluektov, A, Porter, F, Robertson, S, Roney, J, Roodman, A, Sakai, Y, Schwanda, C, Schwartz, A, Seidl, R, Sekula, S, Steinhauser, M, Sumisawa, K, Swanson, E, Tackmann, F, Trabelsi, K, Uehara, S, Uno, S, van de Water, R, Vasseur, G, Verkerke, W, Waldi, R, Wang, M, Wilson, F, Zupan, J, Zupanc, A, Adachi, I, Albert, J, Banerjee, S, Bellis, M, Ben-Haim, E, Biassoni, P, Cahn, R, Cartaro, C, Chauveau, J, Chen, C, Chiang, C, Cowan, R, Dalseno, J, Davier, M, Davies, C, Dingfelder, J, Echenard, B, Epifanov, D, Fulsom, B, Gabareen, A, Gary, J, Godang, R, Graham, M, Hafner, A, Hamilton, B, Hartmann, T, Hayasaka, K, Hearty, C, Iwasaki, Y, Khodjamirian, A, Kusaka, A, Kuzmin, A, Lafferty, G, Lazzaro, A, Li, J, Lindemann, D, Long, O, Lusiani, A, Marchiori, G, Martinelli, M, Miyabayashi, K, Mizuk, R, Mohanty, G, Muller, D, Nakazawa, H, Ongmongkolkul, P, Pacetti, S, Palombo, F, Pedlar, T, Piilonen, L, Pilloni, A, Poireau, V, Prothmann, K, Pulliam, T, Rama, M, Ratcliff, B, Roudeau, P, Schrenk, S, Schroeder, T, Schubert, K, Shen, C, Shwartz, B, Soffer, A, Solodov, E, Somov, A, Starič, M, Stracka, S, Telnov, A, Todyshev, K, Tsuboyama, T, Uglov, T, Vinokurova, A, Walsh, J, Watanabe, Y, Won, E, Wormser, G, Wright, D, Ye, S, Zhang, C, Abachi, S, Abashian, A, Abe, K, Abe, N, Abe, R, Abe, T, Abrams, G, Adam, I, Adamczyk, K, Adametz, A, Adye, T, Agarwal, A, Ahmed, H, Ahmed, M, Ahmed, S, Ahn, B, Ahn, H, Aitchison, I, Akai, K, Akar, S, Akatsu, M, Akemoto, M, Akhmetshin, R, Akre, R, Alam, M, Aleksan, R, Alexander, J, Alimonti, G, Allen, M, Allison, J, Allmendinger, T, Alsmiller, J, Altenburg, D, Alwyn, K, An, Q, Anderson, J, Andreassen, R, Andreotti, D, Andreotti, M, Andress, J, Angelini, C, Anipko, D, Anjomshoaa, A, Anthony, P, Antillon, E, Antonioli, E, Aoki, K, Arguin, J, Arinstein, K, Arisaka, K, Asai, K, Asai, M, Asano, Y, Asgeirsson, D, Asner, D, Aso, T, Aspinwall, M, Aston, D, Atmacan, H, Aubert, B, Aulchenko, V, Ayad, R, Azemoon, T, Aziz, T, Azzolini, V, Azzopardi, D, Baak, M, Back, J, Bagnasco, S, Bahinipati, S, Bailey, D, Bailey, S, Bailly, P, van Bakel, N, Bakich, A, Bala, A, Balagura, V, Baldini-Ferroli, R, Ban, Y, Banas, E, Band, H, Baracchini, E, Barate, R, Barberio, E, Barbero, M, Bard, D, Barillari, T, Barlow, N, Barlow, R, Barrett, M, Bartel, W, Bartelt, J, Bartoldus, R, Batignani, G, Battaglia, M, Bauer, J, Bay, A, Beaulieu, M, Bechtle, P, Beck, T, Becker, J, Becla, J, Bedny, I, Behari, S, Behera, P, Behn, E, Behr, L, Beigbeder, C, Beiline, D, Bell, R, Bellini, F, Bellodi, G, Belous, K, Benayoun, M, Benelli, G, Benitez, J, Benkebil, M, Berger, N, Bernabeu, J, Bernard, D, Bernet, R, Bernlochner, F, Berryhill, J, Bertsche, K, Besson, P, Best, D, Bettarini, S, Bettoni, D, Bhardwaj, V, Bhimji, W, Bhuyan, B, Biagini, M, Biasini, M, van Bibber, K, Biesiada, J, Bingham, I, Bionta, R, Bischofberger, M, Bitenc, U, Bizjak, I, Blanc, F, Blaylock, G, Blinov, V, Bloom, E, Bloom, P, Blount, N, Blouw, J, Bly, M, Blyth, S, Boeheim, C, Bomben, M, Bondar, A, Bondioli, M, Bonneaud, G, Bonvicini, G, Booke, M, Booth, J, Borean, C, Borgland, A, Borsato, E, Bosi, F, Bosisio, L, Botov, A, Bougher, J, Bouldin, K, Bourgeois, P, Boutigny, D, Bowerman, D, Boyarski, A, Boyce, R, Boyd, J, Bozek, A, Bozzi, C, Bračko, M, Brandenburg, G, Brandt, T, Brau, B, Brau, J, Breon, A, Breton, D, Brew, C, Briand, H, Bright-Thomas, P, Brigljević, V, Britton, D, Brochard, F, Broomer, B, Brose, J, Browder, T, Brown, C, Brown, D, Browne, M, Bruinsma, M, Brunet, S, Bucci, F, Buchanan, C, Buchmueller, O, Bünger, C, Bugg, W, Bukin, A, Bula, R, Bulten, H, Burchat, P, Burgess, W, Burke, J, Button-Shafer, J, Buzykaev, A, Buzzo, A, Cai, Y, Calabrese, R, Calcaterra, A, Calderini, G, Camanzi, B, Campagna, E, Campagnari, C, Capra, R, Carassiti, V, Carpinelli, M, Carroll, M, Casarosa, G, Casey, B, Cason, N, Castelli, G, Cavallo, N, Cavoto, G, Cecchi, A, Cenci, R, Cerizza, G, Cervelli, A, Ceseracciu, A, Chai, X, Chaisanguanthum, K, Chang, M, Chang, Y, Chao, D, Chao, M, Chao, Y, Charles, E, Chavez, C, Cheaib, R, Chekelian, V, Chen, A, Chen, E, Chen, G, Chen, H, Chen, J, Chen, K, Chen, P, Chen, S, Chen, W, Chen, X, Chen, Y, Cheng, B, Cheon, B, Chevalier, N, Chia, Y, Chidzik, S, Chilikin, K, Chistiakova, M, Cizeron, R, Cho, I, Cho, K, Chobanova, V, Choi, H, Choi, K, Choi, S, Choi, Y, Christ, S, Chu, P, Chun, S, Chuvikov, A, Cibinetto, G, Cinabro, D, Clark, A, Clark, P, Clarke, C, Claus, R, Claxton, B, Clifton, Z, Cochran, J, Cohen-Tanugi, J, Cohn, H, Colberg, T, Cole, S, Colecchia, F, Condurache, C, Contri, R, Convert, P, Convery, M, Cooke, P, Copty, N, Cormack, C, Dal Corso, F, Corwin, L, Cossutti, F, Cote, D, Cotta Ramusino, A, Cottingham, W, Couderc, F, Coupal, D, Covarelli, R, Cowan, G, Craddock, W, Crane, G, Crawley, H, Cremaldi, L, Crescente, A, Cristinziani, M, Crnkovic, J, Crosetti, G, Cuhadar-Donszelmann, T, Cunha, A, Curry, S, D’Orazio, A, Dû, S, Dahlinger, G, Dahmes, B, Dallapiccola, C, Danielson, N, Danilov, M, Das, A, Dash, M, Dasu, S, Datta, M, Daudo, F, Dauncey, P, David, P, Davis, C, Day, C, De Mori, F, De Domenico, G, De Groot, N, De la Vaissière, C, de la Vaissière, C, de Lesquen, A, De Nardo, G, de Sangro, R, De Silva, A, Debarger, S, Decker, F, del Amo Sanchez, P, Del Buono, L, Del Gamba, V, del Re, D, Della Ricca, G, Denig, A, Derkach, D, Derrington, I, Destaebler, H, Destree, J, Devmal, S, Dey, B, Di Girolamo, B, Marco, E, Dickopp, M, Dima, M, Dittrich, S, Dittongo, S, Dixon, P, Dneprovsky, L, Dohou, F, Doi, Y, Doležal, Z, Doll, D, Donald, M, Dong, L, Dorfan, J, Dorigo, A, Dorsten, M, Dowd, R, Dowdell, J, Drásal, Z, Dragic, J, Drummond, B, Dubitzky, R, Dubois-Felsmann, G, Dubrovin, M, Duh, Y, Dujmic, D, Dungel, W, Dunwoodie, W, Dutta, D, Dvoretskii, A, Dyce, N, Ebert, M, Eckhart, E, Ecklund, S, Eckmann, R, Eckstein, P, Edgar, C, Edwards, A, Egede, U, Eichenbaum, A, Elmer, P, Emery, S, Enari, Y, Enomoto, R, Erdos, E, Erickson, R, Ernst, J, Erwin, R, Escalier, M, Eschenburg, V, Eschrich, I, Esen, S, Esteve, L, Evangelisti, F, Everton, C, Eyges, V, Fabby, C, Fabozzi, F, Fahey, S, Falbo, M, Fan, S, Fang, F, Fanin, C, Farbin, A, Farhat, H, Fast, J, Feindt, M, Fella, A, Feltresi, E, Ferber, T, Fernholz, R, Ferrag, S, Ferrarotto, F, Ferroni, F, Field, R, Filippi, A, Finocchiaro, G, Fioravanti, E, Firmino da Costa, J, Fischer, P, Fisher, A, Fisher, P, Flacco, C, Flack, R, Flaecher, H, Flanagan, J, Flanigan, J, Ford, K, Ford, W, Forster, I, Forti, A, Forti, F, Fortin, D, Foster, B, Foulkes, S, Fouque, G, Fox, J, Franchini, P, Franco Sevilla, M, Franek, B, Frank, E, Fransham, K, Fratina, S, Fratini, K, Frey, A, Frey, R, Friedl, M, Fritsch, M, Fry, J, Fujii, H, Fujikawa, M, Fujita, Y, Fujiyama, Y, Fukunaga, C, Fukushima, M, Fullwood, J, Funahashi, Y, Funakoshi, Y, Furano, F, Furman, M, Furukawa, K, Futterschneider, H, Gabathuler, E, Gabriel, T, Gabyshev, N, Gaede, F, Gagliardi, N, Gaidot, A, Gaillard, J, Galagedera, S, Galeazzi, F, Gallo, F, Gamba, D, Gamet, R, Gan, K, Gandini, P, Ganguly, S, Ganzhur, S, Gao, Y, Gaponenko, I, Garmash, A, Garra Tico, J, Garzia, I, Gaspero, M, Gastaldi, F, Gatto, C, Gaur, V, Geddes, N, Geld, T, Genat, J, George, K, George, M, George, S, Georgette, Z, Gershon, T, Gill, M, Gillard, R, Gilman, J, Giordano, F, Giorgi, M, Giraud, P, Gladney, L, Glanzman, T, Glattauer, R, Go, A, Goetzen, K, Goh, Y, Gokhroo, G, Goldenzweig, P, Golubev, V, Gopal, G, Gordon, A, Gorišek, A, Goriletsky, V, Gorodeisky, R, Gosset, L, Gotow, K, Gowdy, S, Graffin, P, Grancagnolo, S, Grauges, E, Graziani, G, Green, M, Greene, M, Grenier, G, Grenier, P, Griessinger, K, Grillo, A, Grinyov, B, Gritsan, A, Grosdidier, G, Grosse Perdekamp, M, Grosso, P, Grothe, M, Groysman, Y, Grünberg, O, Guido, E, Guler, H, Gunawardane, N, Guo, Q, Guo, R, Guo, Z, Guttman, N, Ha, H, Haas, T, Haba, J, Hachtel, J, Hadavand, H, Hadig, T, Hagner, C, Haire, M, Haitani, F, Haji, T, Haller, G, Halyo, V, Hamano, K, Hamasaki, H, Hamel de Monchenault, G, Hamilton, J, Hamilton, R, Hamon, O, Han, B, Han, Y, Hanada, H, Hanagaki, K, Handa, F, Hanson, J, Hanushevsky, A, Hara, K, Hara, T, Harada, Y, Harrison, P, Harrison, T, Harrop, B, Hart, A, Hart, P, Hartfiel, B, Harton, J, Haruyama, T, Hasan, A, Hasegawa, Y, Hast, C, Hastings, N, Hasuko, K, Hauke, A, Hawkes, C, Hayashi, K, Hazumi, M, Hee, C, Heenan, E, Heffernan, D, Held, T, Henderson, R, Henderson, S, Hertzbach, S, Hervé, S, Heß, M, Heusch, C, Hicheur, A, Higashi, Y, Higasino, Y, Higuchi, I, Hikita, S, Hill, E, Himel, T, Hinz, L, Hirai, T, Hirano, H, Hirschauer, J, Hitlin, D, Hitomi, N, Hodgkinson, M, Höcker, A, Hoi, C, Hojo, T, Hokuue, T, Hollar, J, Hong, T, Honscheid, K, Hooberman, B, Hopkins, D, Horii, Y, Hoshi, Y, Hoshina, K, Hou, S, Hou, W, Hryn’Ova, T, Hsiung, Y, Hsu, C, Hsu, S, Hu, H, Hu, T, Huang, H, Huang, T, Huang, Y, Huard, Z, Huffer, M, Hufnagel, D, Hung, T, Hutchcroft, D, Hyun, H, Ichizawa, S, Igaki, T, Igarashi, A, Igarashi, S, Igarashi, Y, Igonkina, O, Ikado, K, Ikeda, H, Ikeda, K, Ilic, J, Inami, K, Innes, W, Inoue, Y, Ishikawa, A, Ishino, H, Itagaki, K, Itami, S, Itoh, K, Ivanchenko, V, Iverson, R, Iwabuchi, M, Iwai, G, Iwai, M, Iwaida, S, Iwamoto, M, Iwasaki, H, Iwasaki, M, Iwashita, T, Izen, J, Jackson, D, Jackson, F, Jackson, G, Jacobsen, R, Jacoby, C, Jaegle, I, Jain, V, Jalocha, P, Jang, H, Jasper, H, Jawahery, A, Jayatilleke, S, Jen, C, Jensen, F, Jessop, C, Ji, X, John, M, Johnson, D, Johnson, J, Jolly, S, Jones, M, Joo, K, Joshi, N, Judd, D, Julius, T, Kadel, R, Kadyk, J, Kagan, H, Kagan, R, Kah, D, Kaiser, S, Kaji, H, Kajiwara, S, Kakuno, H, Kameshima, T, Kaminski, J, Kamitani, T, Kaneko, J, Kang, J, Kani, T, Kapusta, P, Karbach, T, Karolak, M, Karyotakis, Y, Kasami, K, Katano, G, Kataoka, S, Katayama, N, Kato, E, Kato, Y, Kawai, H, Kawai, M, Kawamura, N, Kawasaki, T, Kay, J, Kay, M, Kelly, M, Kelsey, M, Kent, N, Kerth, L, Khan, A, Khan, H, Kharakh, D, Kibayashi, A, Kichimi, H, Kiesling, C, Kikuchi, M, Kikutani, E, Kim, B, Kim, C, Kim, D, Kim, H, Kim, J, Kim, K, Kim, M, Kim, P, Kim, S, Kim, T, Kim, Y, King, G, Kinoshita, K, Kirk, A, Kirkby, D, Kitayama, I, Klemetti, M, Klose, V, Klucar, J, Knecht, N, Knoepfel, K, Knowles, D, Ko, B, Kobayashi, N, Kobayashi, S, Kobayashi, T, Kobel, M, Koblitz, S, Koch, H, Kocian, M, Kodyš, P, Koeneke, K, Kofler, R, Koike, S, Koishi, S, Koiso, H, Kolb, J, Kolya, S, Kondo, Y, Konishi, H, Koppenburg, P, Koptchev, V, Kordich, T, Korol, A, Korotushenko, K, Korpar, S, Kouzes, R, Kovalskyi, D, Kowalewski, R, Kozakai, Y, Kozanecki, W, Kral, J, Krasnykh, A, Krause, R, Kravchenko, E, Krebs, J, Kreisel, A, Kreps, M, Krishnamurthy, M, Kroeger, R, Kroeger, W, Krokovny, P, Kronenbitter, B, Kroseberg, J, Kubo, T, Kuhr, T, Kukartsev, G, Kulasiri, R, Kulikov, A, Kumar, R, Kumar, S, Kumita, T, Kuniya, T, Kunze, M, Kuo, C, Kuo, T, Kurashiro, H, Kurihara, E, Kurita, N, Kuroki, Y, Kurup, A, Kutter, P, Kuznetsova, N, Kvasnička, P, Kyberd, P, Kyeong, S, Lacker, H, Lae, C, Lamanna, E, Lamsa, J, Lanceri, L, Landi, L, Lang, M, Lange, D, Lange, J, Langenegger, U, Langer, M, Lankford, A, Lanni, F, Laplace, S, Latour, E, Lau, Y, Lavin, D, Layter, J, Lebbolo, H, Leclerc, C, Leddig, T, Leder, G, Le Diberder, F, Lee, C, Lee, J, Lee, M, Lee, S, Lee, Y, Lees, J, Legendre, M, Leitgab, M, Leitner, R, Leonardi, E, Leonidopoulos, C, Lepeltier, V, Leruste, P, Lesiak, T, Levi, M, Levy, S, Lewandowski, B, Lewczuk, M, Lewis, P, Li, H, Li, S, Li, X, Li, Y, Gioi, L, Libby, J, Lidbury, J, Lillard, V, Lim, C, Limosani, A, Lin, C, Lin, J, Lin, S, Lin, Y, Lindquist, B, Lindsay, C, Lista, L, Liu, C, Liu, F, Liu, H, Liu, J, Liu, R, Liu, T, Liu, Y, Liu, Z, Liventsev, D, Lo Vetere, M, Locke, C, Lockman, W, Di Lodovico, F, Lombardo, V, London, G, Lopes Pegna, D, Lopez, L, Lopez-March, N, Lory, J, Losecco, J, Lou, X, Louvot, R, Lu, A, Lu, C, Lu, M, Lu, R, Lueck, T, Luitz, S, Lukin, P, Lund, P, Luppi, E, Lutz, A, Lutz, O, Lynch, G, Lynch, H, Lyon, A, Lyubinsky, V, Macfarlane, D, Mackay, C, Macnaughton, J, Macri, M, Madani, S, Mader, W, Majewski, S, Majumder, G, Makida, Y, Malaescu, B, Malaguti, R, Malclés, J, Mallik, U, Maly, E, Mamada, H, Manabe, A, Mancinelli, G, Mandelkern, M, Mandl, F, Manfredi, P, Mangeol, D, Manoni, E, Mao, Z, Margoni, M, Marker, C, Markey, G, Marks, J, Marlow, D, Marques, V, Marsiske, H, Martellotti, S, Martin, E, Martin, J, Martin, L, Martinez, A, Marzolla, M, Mass, A, Masuzawa, M, Mathieu, A, Matricon, P, Matsubara, T, Matsuda, T, Matsumoto, H, Matsumoto, S, Matsumoto, T, Matsuo, H, Mattison, T, Matvienko, D, Matyja, A, Mayer, B, Mazur, M, Mazzoni, M, Mcculloch, M, Mcdonald, J, Mcfall, J, Mcgrath, P, Mckemey, A, Mckenna, J, Mclachlin, S, Mcmahon, S, Mcmahon, T, Mconie, S, Medvedeva, T, Melen, R, Mellado, B, Menges, W, Menke, S, Merchant, A, Merkel, J, Messner, R, Metcalfe, S, Metzler, S, Meyer, N, Meyer, T, Meyer, W, Michael, A, Michelon, G, Michizono, S, Micout, P, Miftakov, V, Mihalyi, A, Mikami, Y, Milanes, D, Milek, M, Mimashi, T, Minamora, J, Mindas, C, Minutoli, S, Mir, L, Mishra, K, Mitaroff, W, Miyake, H, Miyashita, T, Miyata, H, Miyazaki, Y, Moffitt, L, Mohapatra, A, Mohapatra, D, Moll, A, Moloney, G, Mols, J, Mommsen, R, Monge, M, Monorchio, D, Moore, T, Moorhead, G, Mora de Freitas, P, Morandin, M, Morgan, N, Morgan, S, Morganti, M, Morganti, S, Mori, S, Mori, T, Morii, M, Morris, J, Morsani, 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Zhu, R., Zhu, Y., Zhu, Z., Zhulanov, V., Ziegler, T., Ziegler, V., Zioulas, G., Zisman, M., Zito, M., Zürcher, D., Zwahlen, N., Zyukova, O., Živko, T., and Žontar, D.
Published: 2014

49. Luminescence in germania–silica fibers in a 1–2 μm region

Author: Borshchevskaia, N. A., primary, Katamadze, K. G., additional, Kulik, S. P., additional, Klyamkin, S. N., additional, Chuvikov, S. V., additional, Sysolyatin, A. A., additional, Tsvetkov, S. V., additional, and Fedorov, M. V., additional
Published: 2017
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50. DESIGNING ALGORITHMS FOR SERVICE ROBOTS ON THE BASIS OF MIVAR APPROACH

Author: Panferov, Alexey Andreevich, primary, Zhdanovich, Elizaveta Alexandrovna, additional, Yufimychev, Konstantin Anatolevich, additional, and Chuvikov, Dmitry Alekseevich, additional
Published: 2017
Full Text: View/download PDF

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