Zobrazeno 1 - 10
of 237
pro vyhledávání: '"A. Yakovliev"'
Autor:
O. M. Chepurna, A. Yakovliev, R. Ziniuk, O. A. Nikolaeva, S. M. Levchenko, H. Xu, M. Y. Losytskyy, J. L. Bricks, Yu. L. Slominskii, L. O. Vretik, J. Qu, T. Y. Ohulchanskyy
Publikováno v:
Journal of Nanobiotechnology, Vol 18, Iss 1, Pp 1-15 (2020)
Abstract Background Biodistribution of photosensitizer (PS) in photodynamic therapy (PDT) can be assessed by fluorescence imaging that visualizes the accumulation of PS in malignant tissue prior to PDT. At the same time, excitation of the PS during a
Externí odkaz:
https://doaj.org/article/56cd19ef5501469e8effc9a9e1679eda
Autor:
A. Yakovliev, R. Ziniuk, D. Wang, B. Xue, L. O. Vretik, O. A. Nikolaeva, M. Tan, G. Chen, Yu. L. Slominskii, J. Qu, T. Y. Ohulchanskyy
Publikováno v:
Nanoscale Research Letters, Vol 14, Iss 1, Pp 1-11 (2019)
Abstract Optical bioimaging with exogenous luminophores emitting in short-wave infrared spectral region (SWIR, ~ 1000–1700 nm) is a rapidly developing field, and the development of multiple SWIR-photoluminescent nanoprobes has recently been reporte
Externí odkaz:
https://doaj.org/article/437618ad4be4449f8b288480aa70a9b6
Autor:
Yevhenii Yakovliev, Ihor Udalov
Publikováno v:
Вісник Харківського національного університету імені В.Н. Каразіна. Серія Геологія. Географія. Екологія, Iss 60, Pp 109-123 (2024)
It is indicated that surface water resources under the conditions of growing technogenesis and the consequences of military actions (military, geochemical pollution of catchment landscapes, destruction of treatment facilities, etc.) are classified as
Externí odkaz:
https://doaj.org/article/b902d171639642bc90901067110a864a
Publikováno v:
Oryx, Vol 58, Pp 290-299 (2024)
Knowledge of the spatial distribution of reptiles is essential for decision-making in conservation under future climate change scenarios. We present a new compilation of reptile records for Odesa Oblast (i.e. province), south-west Ukraine. We compile
Externí odkaz:
https://doaj.org/article/8e48dd2678c34ae8a5fe34042a6b0c12
Autor:
Andrii O. Kostikov, Oleksandr L. Shubenko, Viktoriia O. Tarasova, Viktor A. Yakovliev, Andrii O. Mazur
Publikováno v:
Journal of Mechanical Engineering, Vol 26, Iss 4, Pp 6-16 (2023)
The approach to solving the applied problem of modernization of the 300 MW series power units produced by JSC "Ukrainian Energy Machines" by converting them from supercritical to ultra-supercritical steam parameters, provided that regenerative feed w
Externí odkaz:
https://doaj.org/article/952fb3439e0341389cfdd0519573667c
Autor:
Kostiantyn Ralchenko, Mykyta Yakovliev
Publikováno v:
Modern Stochastics: Theory and Applications, Vol 11, Iss 1, Pp 1-29 (2023)
The object of investigation is the mixed fractional Brownian motion of the form ${X_{t}}=\kappa {B_{t}^{{H_{1}}}}+\sigma {B_{t}^{{H_{2}}}}$, driven by two independent fractional Brownian motions ${B_{1}^{H}}$ and ${B_{2}^{H}}$ with Hurst parameters $
Externí odkaz:
https://doaj.org/article/dcf25ca5fab94e5cb71ce60bea2f48e4
Publikováno v:
Energies, Vol 17, Iss 16, p 4195 (2024)
A modified onboard neuro-fuzzy adaptive (NFA) helicopter turboshaft engine (HTE) automatic control system (ACS) is proposed, which is based on a circuit consisting of a research object, a regulator, an emulator, a compensator, and an observer unit. I
Externí odkaz:
https://doaj.org/article/86549fefff6240279d3a6f178c3b45ef
Autor:
Vladov, Serhii1 (AUTHOR) serhii.vladov@univd.edu.ua, Yakovliev, Ruslan1 (AUTHOR) director.klk.hnuvs@gmail.com, Bulakh, Maryna2 (AUTHOR) m.bulakh@prz.edu.pl, Vysotska, Victoria3,4 (AUTHOR) victoria.a.vysotska@lpnu.ua
Publikováno v:
Energies (19961073). May2024, Vol. 17 Issue 9, p2233. 28p.
Publikováno v:
Applied System Innovation, Vol 7, Iss 3, p 53 (2024)
The research aims to develop a neural network-based lost information restoration method when the complex nonlinear technical object (using the example of helicopter turboshaft engines) sensors fail during operation. The basis of the research is an au
Externí odkaz:
https://doaj.org/article/f384ec6967c0448a8421471d7eee5dc2
Publikováno v:
Energies, Vol 17, Iss 9, p 2233 (2024)
The work is devoted to the development of a method for neural network approximation of helicopter turboshaft engine parameters, which is the basis for researching engine energy characteristics to improve efficiency, reliability, and flight safety. It
Externí odkaz:
https://doaj.org/article/b64e28a44f0f46a692d41075c33c3cbc