Zobrazeno 1 - 10
of 10 631
pro vyhledávání: '"Atanasov A"'
Autor:
Szymańska-Czerwińska Monika, Matin Maima, Niemczuk Krzysztof, Strzałkowska Nina, Osiński Zbigniew, Horbańczuk Karina, Wierzbicka Agnieszka, Horbańczuk Jarosław Olav, Atanasov Atanas Georgiev, Jóźwik Artur
Publikováno v:
Journal of Veterinary Research, Vol 68, Iss 3, Pp 409-417 (2024)
Chokeberry pomace, rich in polyphenolic compounds, holds potential to be a valuable feed additive for enhancing the antioxidative capacity and overall quality of milk. This study explores the impact of dietary inclusion of chokeberry pomace on oxidat
Externí odkaz:
https://doaj.org/article/f61a77a79fdf43bbaf77b5cf39a80e1a
Publikováno v:
Acta Medica Bulgarica, Vol 50, Iss 1, Pp 63-66 (2023)
Tonsil lymphangiomas are extremely rare benign tonsil tumors. They could be asymptomatic, especially when they are small, and in these cases, they are most often found by chance on physical examination.
Externí odkaz:
https://doaj.org/article/4258842708b7496884c8f5158399ae63
Autor:
Sattarov Narmurod, Shavazov Kadirjon, Yunusov Rustem, Suvanov Anvar, Yangiboev Abdimalik, Kholbutaev Ilyosjon, Atanasov Atanas
Publikováno v:
BIO Web of Conferences, Vol 105, p 04002 (2024)
The article discusses the results of scientific and economic experience carried out in the winter - in the spring period, which showed that when raising newborns and calves in dispensary houses in the open air, it is necessary to strictly comply with
Externí odkaz:
https://doaj.org/article/4a40269016c14cd1bff33485aefa63b6
Autor:
Kiselova-Kaneva Yoana Dimitrova, Nazifova-Tasinova Neshe, Vankova Deyana, Nikolova Miglena, Pasheva Milena, Yotov Yoto, Atanasov Atanas, Galunska Bistra
Publikováno v:
Türk Biyokimya Dergisi, Vol 47, Iss 3, Pp 247-255 (2021)
Matrix Gla protein (MGP) is a calcification inhibitor that plays a role in preventing soft tissue calcification and local mineralization of the vascular wall. The present study aimed to assess the expression of MGP in Peripheral Blood Mononuclear Cel
Externí odkaz:
https://doaj.org/article/bf73e2d202424df08088454d1af805d0
Autor:
Kolev Tsonko, Peeva Martina I., Bogdanov Ivan P., Ognyanov Iliyan V., Atanasov Atanas G., Tzvetkov Nikolay T.
Publikováno v:
Zeitschrift für Kristallographie - New Crystal Structures, Vol 237, Iss 4, Pp 601-603 (2022)
C10H11N3O6, monoclinic, P21/c (no. 14), a = 7.4928(12) Å, b = 14.860(3) Å, c = 11.0593(18) Å, β = 109.465(5)°, V = 1161.0(4) Å3, Z = 4, Rgt(F) = 0.0439, wRref(F2) = 0.1060, T = 300.0(2) K.
Externí odkaz:
https://doaj.org/article/8cd16614b8e3477d8c9532c6b6cc27de
In this paper, we derive a new Kalman filter with probabilistic data association between measurements and states. We formulate a variational inference problem to approximate the posterior density of the state conditioned on the measurement data. We v
Externí odkaz:
http://arxiv.org/abs/2411.06378
Control Strategies for Pursuit-Evasion Under Occlusion Using Visibility and Safety Barrier Functions
Autor:
Zhou, Minnan, Shaikh, Mustafa, Chaubey, Vatsalya, Haggerty, Patrick, Koga, Shumon, Panagou, Dimitra, Atanasov, Nikolay
This paper develops a control strategy for pursuit-evasion problems in environments with occlusions. We address the challenge of a mobile pursuer keeping a mobile evader within its field of view (FoV) despite line-of-sight obstructions. The signed di
Externí odkaz:
http://arxiv.org/abs/2411.01321
Autor:
Nies, L., Atanasov, D., Athanasakis-Kaklamanakis, M., Au, M., Bernerd, C., Blaum, K., Chrysalidis, K., Fischer, P., Heinke, R., Klink, C., Lange, D., Lunney, D., Manea, V., Marsh, B. A., Müller, M., Mougeot, M., Naimi, S., Schweiger, Ch., Schweikhard, L., Wienholtz, F.
Mass measurements with the ISOLTRAP mass spectrometer at CERN-ISOLDE improve mass uncertainties of neutron-deficient tin isotopes towards doubly-magic $^{100}$Sn. The mass uncertainty of $^{103}$Sn was reduced by a factor of 4, and the new value for
Externí odkaz:
http://arxiv.org/abs/2410.17995
In this work, we introduce a planning neural operator (PNO) for predicting the value function of a motion planning problem. We recast value function approximation as learning a single operator from the cost function space to the value function space,
Externí odkaz:
http://arxiv.org/abs/2410.17547
We consider neural networks (NNs) where the final layer is down-scaled by a fixed hyperparameter $\gamma$. Recent work has identified $\gamma$ as controlling the strength of feature learning. As $\gamma$ increases, network evolution changes from "laz
Externí odkaz:
http://arxiv.org/abs/2410.04642