Zobrazeno 1 - 10
of 584
pro vyhledávání: '"Statistical weight"'
Autor:
Hubert Anysz, Wojciech Rogala
Publikováno v:
Przegląd Naukowy Inżynieria i Kształtowanie Środowiska, Vol 27, Iss 3, Pp 280-290 (2018)
An essay presents the method and tool which can be used to control the mass of aggregates deliveries under construction site conditions. The method based on statistics allows determining the optimal quantity of transports to be inspected, required to
Externí odkaz:
https://doaj.org/article/4ddfd58526cd4374b51460d83d0273b7
Publikováno v:
Management of Development of Complex Systems; No. 53 (2023); 80-90
Управление развитием сложных систем; № 53 (2023); 80-90
Управління розвитком складних систем; № 53 (2023); 80-90
Управление развитием сложных систем; № 53 (2023); 80-90
Управління розвитком складних систем; № 53 (2023); 80-90
This paper is a continuation of two previous articles devoted to an attempt to estimate the contribution of the spatial disorder of molecular systems in their particular states (critical liquid-vapor transition points). Using fractal modeling for dyn
Возрастающие требования к уровню подготовки инженеров, расширение числа необходимых компетенций, которыми должны обладать выпускники
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ee72ad2bfd46d3c3d0006a56017e8cd
Publikováno v:
J Phys Chem B
Accurate prediction of RNA structure and folding stability has a far-reaching impact on our understanding of RNA functions. Here we develop Vfold2D-MC, a new physics-based model, to predict RNA structure and folding thermodynamics from the sequence.
Autor:
E. A. Tsvetkov
Publikováno v:
Bulletin of the Lebedev Physics Institute. 48:232-235
The Monte Carlo simulation is widely used to choose the design of associated particle imaging devices or space radiation detectors containing coincidence circuits. Variance reduction techniques can significantly speed up Monte Carlo simulation. In pr
Autor:
V. E. Gozbenko, A. V. Bal'chugov
Publikováno v:
Modern Technologies. System Analysis. Modeling. :67-76
Akademický článek
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Autor:
Romanchuk N.
Publikováno v:
Вісник Київського національного університету імені Тараса Шевченка. Серія Економіка, Vol 1, Iss 134, Pp 65-68 (2013)
In the paper main approaches of rich people identification are analyzed, the classifications of estimation methods of mentioned social group are given. The method of rich threshold identification with the use of Household Living Conditions Survey Dat
Externí odkaz:
https://doaj.org/article/5c1b2b52632f4375914c492ee6db7e41
Publikováno v:
Annals of Nuclear Energy
Annals of Nuclear Energy, 2022, 166, pp.108794. ⟨10.1016/j.anucene.2021.108794⟩
Annals of Nuclear Energy, 2022, 166, pp.108794. ⟨10.1016/j.anucene.2021.108794⟩
International audience; Cross sections are crucial nuclear data that describe the probability for a particular nuclear reaction to occur between an incident particle and a target nuclide. In the context of neutron transport, accurate cross section ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20e78e7f21e7d42f980cad8c47da573d
https://irsn.hal.science/irsn-03865740/file/articleANE_corrected_with_highlight_green.PDF
https://irsn.hal.science/irsn-03865740/file/articleANE_corrected_with_highlight_green.PDF
Publikováno v:
International Journal of Molecular Sciences
International Journal of Molecular Sciences, MDPI, 2021, 22 (20), pp.10908. ⟨10.3390/ijms222010908⟩
International Journal of Molecular Sciences, Vol 22, Iss 10908, p 10908 (2021)
Volume 22
Issue 20
International Journal of Molecular Sciences, MDPI, 2021, 22 (20), pp.10908. ⟨10.3390/ijms222010908⟩
International Journal of Molecular Sciences, Vol 22, Iss 10908, p 10908 (2021)
Volume 22
Issue 20
International audience; We present Annealed Mutational approximated Landscape (AMaLa), a new method to infer fitness landscapes from Directed Evolution experiments sequencing data. Such experiments typically start from a single wild-type sequence, wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b922f38f969b16abd1ab2b3b84d906b
https://hal.sorbonne-universite.fr/hal-03405967/file/ijms-22-10908-v2.pdf
https://hal.sorbonne-universite.fr/hal-03405967/file/ijms-22-10908-v2.pdf